diff --git a/Create_data_final.ipynb b/Create_data_final.ipynb
index cf3335583cf85c4150afe0194d27de7f57fe034d..67b1cb181696e4826537ce645357f356ce47dc62 100644
--- a/Create_data_final.ipynb
+++ b/Create_data_final.ipynb
@@ -10,86 +10,26747 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
    "id": "42e88255-b677-4716-b946-fbcd9a2e8272",
    "metadata": {},
    "outputs": [
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[2024-05-08 08:26:54.627] [gems3k] [info] Home directory is /afs/psi.ch/user/b/boiger_r\n",
-      "chemicalfun logger not connected\n",
-      "thermofun logger not connected\n"
-     ]
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[2024-05-27 15:10:11.111] [gems3k] [info] Home directory is /afs/psi.ch/user/b/boiger_r\n",
+      "chemicalfun logger not connected\n",
+      "thermofun logger not connected\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Import relevant packages\n",
+    "import xgems\n",
+    "from util.create_data import add_new_material\n",
+    "from util.create_data import create_sobol_sequence, create_lhs_samples\n",
+    "from util.create_data import complete_hydration_from_data\n",
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "from prop.elastic_moduli import data_elastic_moduli\n",
+    "from prop.energy import energy_emission_data, CO2_emission\n",
+    "import numpy as np\n",
+    "from scipy.stats import qmc\n",
+    "import pandas as pd\n",
+    "data_path = '/mnt/disk1/projects/Cement/02-Software_and_Models/Models/InputData/'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "c75e293c-5eaf-4096-a177-eacf7e44e202",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def normalize_clinker_samples(samples, target_sum, bounds):\n",
+    "    \"\"\"Normalize the clinker component samples so they sum to the target_sum, with bounds checking.\"\"\"\n",
+    "    sum_samples = np.sum(samples, axis=1)\n",
+    "    normalized_samples = samples / sum_samples[:, None] * target_sum\n",
+    "    \n",
+    "    # Ensure samples are within their bounds after normalization\n",
+    "    for i in range(samples.shape[1]):  # Iterate over each clinker component\n",
+    "        min_val, max_val = bounds[i]\n",
+    "        # Apply clipping to ensure values remain within bounds\n",
+    "        normalized_samples[:, i] = np.clip(normalized_samples[:, i], min_val, max_val)\n",
+    "        \n",
+    "    return normalized_samples\n",
+    "def sample_with_lhs(bounds_dict, n_samples, clinker_total):\n",
+    "    \"\"\"Sample using Latin Hypercube Sampling, ensuring clinker components sum to a specified total.\"\"\"\n",
+    "    sampler = qmc.LatinHypercube(d=len(bounds_dict), seed=42)\n",
+    "    raw_samples = sampler.random(n_samples)\n",
+    "\n",
+    "    # Normalize samples to their bounds\n",
+    "    min_vals = np.array([bounds_dict[k][0] for k in bounds_dict])\n",
+    "    max_vals = np.array([bounds_dict[k][1] for k in bounds_dict])\n",
+    "    scaled_samples = raw_samples * (max_vals - min_vals) + min_vals\n",
+    "    \n",
+    "    # Separate the samples into clinker components, 'wc', and additional materials\n",
+    "    clinker_samples = scaled_samples[:, :4]  # First four are clinker components\n",
+    "    wc_samples = scaled_samples[:, 4]       # 'wc' is the fifth variable\n",
+    "    additional_samples = scaled_samples[:, 5:]  # Remaining are additional materials\n",
+    "\n",
+    "    # Normalize clinker samples to sum to 96, with bounds checking\n",
+    "    clinker_bounds = [bounds_dict[k] for k in ['C3S', 'C2S', 'C3A', 'C4AF']]\n",
+    "    clinker_samples = normalize_clinker_samples(clinker_samples, clinker_total, clinker_bounds)\n",
+    "    \n",
+    "    # Normalize additional materials so their total does not exceed 100\n",
+    "    additional_samples = normalize_additional_samples(additional_samples)\n",
+    "\n",
+    "    # Combine all the samples\n",
+    "    all_samples = np.hstack([clinker_samples, wc_samples[:, None], additional_samples])\n",
+    "\n",
+    "    # Define column names\n",
+    "    columns = list(bounds_dict.keys())\n",
+    "\n",
+    "    # Create DataFrame\n",
+    "    df = pd.DataFrame(all_samples, columns=columns)\n",
+    "    df['RH'] = 1\n",
+    "    df['T'] = 25\n",
+    "    df['fineness'] = 385\n",
+    "    df['CSH2'] = 4\n",
+    "\n",
+    "    return df\n",
+    "def normalize_additional_samples(samples):\n",
+    "    \"\"\"Normalize additional materials so their total does not exceed 100.\"\"\"\n",
+    "    sum_samples = np.sum(samples, axis=1)\n",
+    "    mask = sum_samples > 100\n",
+    "    samples[mask] = samples[mask] / sum_samples[mask, None] * 100\n",
+    "    return samples"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "a2f7d13d-d244-40a9-9d6b-385ef21f66a7",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "           C3S        C2S        C3A       C4AF        wc  limestone  \\\n",
+      "0    57.647781  26.151845   6.628009   5.572365  0.661962   6.880488   \n",
+      "1    64.773646  17.605959   7.152201   6.468193  0.465823  14.975455   \n",
+      "2    60.857278  21.823251  11.823600   1.495871  0.400889  11.196107   \n",
+      "3    55.248035  27.030514   5.217009   8.504442  0.462212   5.756211   \n",
+      "4    57.710815  16.303625   9.094807  12.890753  0.632467   3.523905   \n",
+      "..         ...        ...        ...        ...       ...        ...   \n",
+      "995  71.058060  16.755838   4.603968   3.582134  0.460128   0.230468   \n",
+      "996  54.143969  23.010890  11.745269   7.099872  0.631194  14.839799   \n",
+      "997  64.676746  26.630476   1.413039   3.279739  0.457343  11.577786   \n",
+      "998  61.016788  23.433337   9.582049   1.967826  0.664557  12.180821   \n",
+      "999  70.732394  19.756046   3.441513   2.070047  0.597458  19.031065   \n",
+      "\n",
+      "     silica_fume      GGBFS    fly_ash  calcined_clay  RH   T  fineness  CSH2  \n",
+      "0       8.962389  12.187488  26.210516       5.164236   1  25       385     4  \n",
+      "1       1.114454  15.817766  29.826033      29.727892   1  25       385     4  \n",
+      "2       8.455333   9.763467  30.339600      25.001093   1  25       385     4  \n",
+      "3       9.118701   0.473350  26.277058      19.156557   1  25       385     4  \n",
+      "4       5.406125  19.694909   2.776113      11.195109   1  25       385     4  \n",
+      "..           ...        ...        ...            ...  ..  ..       ...   ...  \n",
+      "995     4.292554  17.390299  26.094378      12.168256   1  25       385     4  \n",
+      "996     3.966266  20.978287   6.818712      20.631338   1  25       385     4  \n",
+      "997     4.752905  31.085584  21.591315      13.750595   1  25       385     4  \n",
+      "998     2.341680   2.246501  14.653117      31.593280   1  25       385     4  \n",
+      "999     5.146907  19.839213  21.021931      23.923168   1  25       385     4  \n",
+      "\n",
+      "[1000 rows x 14 columns]\n"
+     ]
+    }
+   ],
+   "source": [
+    "bounds = {\n",
+    "    'C3S': (45, 80),\n",
+    "    'C2S': (10, 32),\n",
+    "    'C3A': (0, 14),\n",
+    "    'C4AF': (0, 15),\n",
+    "    'wc': (0.3, 0.7),\n",
+    "    'limestone': (0, 20),\n",
+    "    'silica_fume': (0, 10),\n",
+    "    'GGBFS': (0, 35),\n",
+    "    'fly_ash': (0, 35),\n",
+    "    'calcined_clay': (0, 35)\n",
+    "}\n",
+    "\n",
+    "# Generate samples, assuming you want 10 samples and clinkers should sum to 96\n",
+    "sampled_df = sample_with_lhs(bounds, 1000, 96)\n",
+    "print(sampled_df)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "ba17702f-9472-4ece-93b6-15dce797faa9",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>C3S</th>\n",
+       "      <th>C2S</th>\n",
+       "      <th>C3A</th>\n",
+       "      <th>C4AF</th>\n",
+       "      <th>wc</th>\n",
+       "      <th>limestone</th>\n",
+       "      <th>silica_fume</th>\n",
+       "      <th>GGBFS</th>\n",
+       "      <th>fly_ash</th>\n",
+       "      <th>calcined_clay</th>\n",
+       "      <th>RH</th>\n",
+       "      <th>T</th>\n",
+       "      <th>fineness</th>\n",
+       "      <th>CSH2</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>57.647781</td>\n",
+       "      <td>26.151845</td>\n",
+       "      <td>6.628009</td>\n",
+       "      <td>5.572365</td>\n",
+       "      <td>0.661962</td>\n",
+       "      <td>6.880488</td>\n",
+       "      <td>8.962389</td>\n",
+       "      <td>12.187488</td>\n",
+       "      <td>26.210516</td>\n",
+       "      <td>5.164236</td>\n",
+       "      <td>1</td>\n",
+       "      <td>25</td>\n",
+       "      <td>385</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>64.773646</td>\n",
+       "      <td>17.605959</td>\n",
+       "      <td>7.152201</td>\n",
+       "      <td>6.468193</td>\n",
+       "      <td>0.465823</td>\n",
+       "      <td>14.975455</td>\n",
+       "      <td>1.114454</td>\n",
+       "      <td>15.817766</td>\n",
+       "      <td>29.826033</td>\n",
+       "      <td>29.727892</td>\n",
+       "      <td>1</td>\n",
+       "      <td>25</td>\n",
+       "      <td>385</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>60.857278</td>\n",
+       "      <td>21.823251</td>\n",
+       "      <td>11.823600</td>\n",
+       "      <td>1.495871</td>\n",
+       "      <td>0.400889</td>\n",
+       "      <td>11.196107</td>\n",
+       "      <td>8.455333</td>\n",
+       "      <td>9.763467</td>\n",
+       "      <td>30.339600</td>\n",
+       "      <td>25.001093</td>\n",
+       "      <td>1</td>\n",
+       "      <td>25</td>\n",
+       "      <td>385</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>55.248035</td>\n",
+       "      <td>27.030514</td>\n",
+       "      <td>5.217009</td>\n",
+       "      <td>8.504442</td>\n",
+       "      <td>0.462212</td>\n",
+       "      <td>5.756211</td>\n",
+       "      <td>9.118701</td>\n",
+       "      <td>0.473350</td>\n",
+       "      <td>26.277058</td>\n",
+       "      <td>19.156557</td>\n",
+       "      <td>1</td>\n",
+       "      <td>25</td>\n",
+       "      <td>385</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>57.710815</td>\n",
+       "      <td>16.303625</td>\n",
+       "      <td>9.094807</td>\n",
+       "      <td>12.890753</td>\n",
+       "      <td>0.632467</td>\n",
+       "      <td>3.523905</td>\n",
+       "      <td>5.406125</td>\n",
+       "      <td>19.694909</td>\n",
+       "      <td>2.776113</td>\n",
+       "      <td>11.195109</td>\n",
+       "      <td>1</td>\n",
+       "      <td>25</td>\n",
+       "      <td>385</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>995</th>\n",
+       "      <td>71.058060</td>\n",
+       "      <td>16.755838</td>\n",
+       "      <td>4.603968</td>\n",
+       "      <td>3.582134</td>\n",
+       "      <td>0.460128</td>\n",
+       "      <td>0.230468</td>\n",
+       "      <td>4.292554</td>\n",
+       "      <td>17.390299</td>\n",
+       "      <td>26.094378</td>\n",
+       "      <td>12.168256</td>\n",
+       "      <td>1</td>\n",
+       "      <td>25</td>\n",
+       "      <td>385</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>996</th>\n",
+       "      <td>54.143969</td>\n",
+       "      <td>23.010890</td>\n",
+       "      <td>11.745269</td>\n",
+       "      <td>7.099872</td>\n",
+       "      <td>0.631194</td>\n",
+       "      <td>14.839799</td>\n",
+       "      <td>3.966266</td>\n",
+       "      <td>20.978287</td>\n",
+       "      <td>6.818712</td>\n",
+       "      <td>20.631338</td>\n",
+       "      <td>1</td>\n",
+       "      <td>25</td>\n",
+       "      <td>385</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>997</th>\n",
+       "      <td>64.676746</td>\n",
+       "      <td>26.630476</td>\n",
+       "      <td>1.413039</td>\n",
+       "      <td>3.279739</td>\n",
+       "      <td>0.457343</td>\n",
+       "      <td>11.577786</td>\n",
+       "      <td>4.752905</td>\n",
+       "      <td>31.085584</td>\n",
+       "      <td>21.591315</td>\n",
+       "      <td>13.750595</td>\n",
+       "      <td>1</td>\n",
+       "      <td>25</td>\n",
+       "      <td>385</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>998</th>\n",
+       "      <td>61.016788</td>\n",
+       "      <td>23.433337</td>\n",
+       "      <td>9.582049</td>\n",
+       "      <td>1.967826</td>\n",
+       "      <td>0.664557</td>\n",
+       "      <td>12.180821</td>\n",
+       "      <td>2.341680</td>\n",
+       "      <td>2.246501</td>\n",
+       "      <td>14.653117</td>\n",
+       "      <td>31.593280</td>\n",
+       "      <td>1</td>\n",
+       "      <td>25</td>\n",
+       "      <td>385</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>999</th>\n",
+       "      <td>70.732394</td>\n",
+       "      <td>19.756046</td>\n",
+       "      <td>3.441513</td>\n",
+       "      <td>2.070047</td>\n",
+       "      <td>0.597458</td>\n",
+       "      <td>19.031065</td>\n",
+       "      <td>5.146907</td>\n",
+       "      <td>19.839213</td>\n",
+       "      <td>21.021931</td>\n",
+       "      <td>23.923168</td>\n",
+       "      <td>1</td>\n",
+       "      <td>25</td>\n",
+       "      <td>385</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1000 rows × 14 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           C3S        C2S        C3A       C4AF        wc  limestone  \\\n",
+       "0    57.647781  26.151845   6.628009   5.572365  0.661962   6.880488   \n",
+       "1    64.773646  17.605959   7.152201   6.468193  0.465823  14.975455   \n",
+       "2    60.857278  21.823251  11.823600   1.495871  0.400889  11.196107   \n",
+       "3    55.248035  27.030514   5.217009   8.504442  0.462212   5.756211   \n",
+       "4    57.710815  16.303625   9.094807  12.890753  0.632467   3.523905   \n",
+       "..         ...        ...        ...        ...       ...        ...   \n",
+       "995  71.058060  16.755838   4.603968   3.582134  0.460128   0.230468   \n",
+       "996  54.143969  23.010890  11.745269   7.099872  0.631194  14.839799   \n",
+       "997  64.676746  26.630476   1.413039   3.279739  0.457343  11.577786   \n",
+       "998  61.016788  23.433337   9.582049   1.967826  0.664557  12.180821   \n",
+       "999  70.732394  19.756046   3.441513   2.070047  0.597458  19.031065   \n",
+       "\n",
+       "     silica_fume      GGBFS    fly_ash  calcined_clay  RH   T  fineness  CSH2  \n",
+       "0       8.962389  12.187488  26.210516       5.164236   1  25       385     4  \n",
+       "1       1.114454  15.817766  29.826033      29.727892   1  25       385     4  \n",
+       "2       8.455333   9.763467  30.339600      25.001093   1  25       385     4  \n",
+       "3       9.118701   0.473350  26.277058      19.156557   1  25       385     4  \n",
+       "4       5.406125  19.694909   2.776113      11.195109   1  25       385     4  \n",
+       "..           ...        ...        ...            ...  ..  ..       ...   ...  \n",
+       "995     4.292554  17.390299  26.094378      12.168256   1  25       385     4  \n",
+       "996     3.966266  20.978287   6.818712      20.631338   1  25       385     4  \n",
+       "997     4.752905  31.085584  21.591315      13.750595   1  25       385     4  \n",
+       "998     2.341680   2.246501  14.653117      31.593280   1  25       385     4  \n",
+       "999     5.146907  19.839213  21.021931      23.923168   1  25       385     4  \n",
+       "\n",
+       "[1000 rows x 14 columns]"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "sampled_df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "3c216289-aaa2-4147-9edc-6233af558147",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>C3S</th>\n",
+       "      <th>C2S</th>\n",
+       "      <th>C3A</th>\n",
+       "      <th>C4AF</th>\n",
+       "      <th>wc</th>\n",
+       "      <th>limestone</th>\n",
+       "      <th>silica_fume</th>\n",
+       "      <th>GGBFS</th>\n",
+       "      <th>fly_ash</th>\n",
+       "      <th>calcined_clay</th>\n",
+       "      <th>RH</th>\n",
+       "      <th>T</th>\n",
+       "      <th>fineness</th>\n",
+       "      <th>CSH2</th>\n",
+       "      <th>sum1</th>\n",
+       "      <th>sum2</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>57.647781</td>\n",
+       "      <td>26.151845</td>\n",
+       "      <td>6.628009</td>\n",
+       "      <td>5.572365</td>\n",
+       "      <td>0.661962</td>\n",
+       "      <td>6.880488</td>\n",
+       "      <td>8.962389</td>\n",
+       "      <td>12.187488</td>\n",
+       "      <td>26.210516</td>\n",
+       "      <td>5.164236</td>\n",
+       "      <td>1</td>\n",
+       "      <td>25</td>\n",
+       "      <td>385</td>\n",
+       "      <td>4</td>\n",
+       "      <td>96.0</td>\n",
+       "      <td>59.405116</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>64.773646</td>\n",
+       "      <td>17.605959</td>\n",
+       "      <td>7.152201</td>\n",
+       "      <td>6.468193</td>\n",
+       "      <td>0.465823</td>\n",
+       "      <td>14.975455</td>\n",
+       "      <td>1.114454</td>\n",
+       "      <td>15.817766</td>\n",
+       "      <td>29.826033</td>\n",
+       "      <td>29.727892</td>\n",
+       "      <td>1</td>\n",
+       "      <td>25</td>\n",
+       "      <td>385</td>\n",
+       "      <td>4</td>\n",
+       "      <td>96.0</td>\n",
+       "      <td>91.461600</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>60.857278</td>\n",
+       "      <td>21.823251</td>\n",
+       "      <td>11.823600</td>\n",
+       "      <td>1.495871</td>\n",
+       "      <td>0.400889</td>\n",
+       "      <td>11.196107</td>\n",
+       "      <td>8.455333</td>\n",
+       "      <td>9.763467</td>\n",
+       "      <td>30.339600</td>\n",
+       "      <td>25.001093</td>\n",
+       "      <td>1</td>\n",
+       "      <td>25</td>\n",
+       "      <td>385</td>\n",
+       "      <td>4</td>\n",
+       "      <td>96.0</td>\n",
+       "      <td>84.755600</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>55.248035</td>\n",
+       "      <td>27.030514</td>\n",
+       "      <td>5.217009</td>\n",
+       "      <td>8.504442</td>\n",
+       "      <td>0.462212</td>\n",
+       "      <td>5.756211</td>\n",
+       "      <td>9.118701</td>\n",
+       "      <td>0.473350</td>\n",
+       "      <td>26.277058</td>\n",
+       "      <td>19.156557</td>\n",
+       "      <td>1</td>\n",
+       "      <td>25</td>\n",
+       "      <td>385</td>\n",
+       "      <td>4</td>\n",
+       "      <td>96.0</td>\n",
+       "      <td>60.781876</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>57.710815</td>\n",
+       "      <td>16.303625</td>\n",
+       "      <td>9.094807</td>\n",
+       "      <td>12.890753</td>\n",
+       "      <td>0.632467</td>\n",
+       "      <td>3.523905</td>\n",
+       "      <td>5.406125</td>\n",
+       "      <td>19.694909</td>\n",
+       "      <td>2.776113</td>\n",
+       "      <td>11.195109</td>\n",
+       "      <td>1</td>\n",
+       "      <td>25</td>\n",
+       "      <td>385</td>\n",
+       "      <td>4</td>\n",
+       "      <td>96.0</td>\n",
+       "      <td>42.596160</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>995</th>\n",
+       "      <td>71.058060</td>\n",
+       "      <td>16.755838</td>\n",
+       "      <td>4.603968</td>\n",
+       "      <td>3.582134</td>\n",
+       "      <td>0.460128</td>\n",
+       "      <td>0.230468</td>\n",
+       "      <td>4.292554</td>\n",
+       "      <td>17.390299</td>\n",
+       "      <td>26.094378</td>\n",
+       "      <td>12.168256</td>\n",
+       "      <td>1</td>\n",
+       "      <td>25</td>\n",
+       "      <td>385</td>\n",
+       "      <td>4</td>\n",
+       "      <td>96.0</td>\n",
+       "      <td>60.175955</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>996</th>\n",
+       "      <td>54.143969</td>\n",
+       "      <td>23.010890</td>\n",
+       "      <td>11.745269</td>\n",
+       "      <td>7.099872</td>\n",
+       "      <td>0.631194</td>\n",
+       "      <td>14.839799</td>\n",
+       "      <td>3.966266</td>\n",
+       "      <td>20.978287</td>\n",
+       "      <td>6.818712</td>\n",
+       "      <td>20.631338</td>\n",
+       "      <td>1</td>\n",
+       "      <td>25</td>\n",
+       "      <td>385</td>\n",
+       "      <td>4</td>\n",
+       "      <td>96.0</td>\n",
+       "      <td>67.234401</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>997</th>\n",
+       "      <td>64.676746</td>\n",
+       "      <td>26.630476</td>\n",
+       "      <td>1.413039</td>\n",
+       "      <td>3.279739</td>\n",
+       "      <td>0.457343</td>\n",
+       "      <td>11.577786</td>\n",
+       "      <td>4.752905</td>\n",
+       "      <td>31.085584</td>\n",
+       "      <td>21.591315</td>\n",
+       "      <td>13.750595</td>\n",
+       "      <td>1</td>\n",
+       "      <td>25</td>\n",
+       "      <td>385</td>\n",
+       "      <td>4</td>\n",
+       "      <td>96.0</td>\n",
+       "      <td>82.758185</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>998</th>\n",
+       "      <td>61.016788</td>\n",
+       "      <td>23.433337</td>\n",
+       "      <td>9.582049</td>\n",
+       "      <td>1.967826</td>\n",
+       "      <td>0.664557</td>\n",
+       "      <td>12.180821</td>\n",
+       "      <td>2.341680</td>\n",
+       "      <td>2.246501</td>\n",
+       "      <td>14.653117</td>\n",
+       "      <td>31.593280</td>\n",
+       "      <td>1</td>\n",
+       "      <td>25</td>\n",
+       "      <td>385</td>\n",
+       "      <td>4</td>\n",
+       "      <td>96.0</td>\n",
+       "      <td>63.015399</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>999</th>\n",
+       "      <td>70.732394</td>\n",
+       "      <td>19.756046</td>\n",
+       "      <td>3.441513</td>\n",
+       "      <td>2.070047</td>\n",
+       "      <td>0.597458</td>\n",
+       "      <td>19.031065</td>\n",
+       "      <td>5.146907</td>\n",
+       "      <td>19.839213</td>\n",
+       "      <td>21.021931</td>\n",
+       "      <td>23.923168</td>\n",
+       "      <td>1</td>\n",
+       "      <td>25</td>\n",
+       "      <td>385</td>\n",
+       "      <td>4</td>\n",
+       "      <td>96.0</td>\n",
+       "      <td>88.962283</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1000 rows × 16 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           C3S        C2S        C3A       C4AF        wc  limestone  \\\n",
+       "0    57.647781  26.151845   6.628009   5.572365  0.661962   6.880488   \n",
+       "1    64.773646  17.605959   7.152201   6.468193  0.465823  14.975455   \n",
+       "2    60.857278  21.823251  11.823600   1.495871  0.400889  11.196107   \n",
+       "3    55.248035  27.030514   5.217009   8.504442  0.462212   5.756211   \n",
+       "4    57.710815  16.303625   9.094807  12.890753  0.632467   3.523905   \n",
+       "..         ...        ...        ...        ...       ...        ...   \n",
+       "995  71.058060  16.755838   4.603968   3.582134  0.460128   0.230468   \n",
+       "996  54.143969  23.010890  11.745269   7.099872  0.631194  14.839799   \n",
+       "997  64.676746  26.630476   1.413039   3.279739  0.457343  11.577786   \n",
+       "998  61.016788  23.433337   9.582049   1.967826  0.664557  12.180821   \n",
+       "999  70.732394  19.756046   3.441513   2.070047  0.597458  19.031065   \n",
+       "\n",
+       "     silica_fume      GGBFS    fly_ash  calcined_clay  RH   T  fineness  CSH2  \\\n",
+       "0       8.962389  12.187488  26.210516       5.164236   1  25       385     4   \n",
+       "1       1.114454  15.817766  29.826033      29.727892   1  25       385     4   \n",
+       "2       8.455333   9.763467  30.339600      25.001093   1  25       385     4   \n",
+       "3       9.118701   0.473350  26.277058      19.156557   1  25       385     4   \n",
+       "4       5.406125  19.694909   2.776113      11.195109   1  25       385     4   \n",
+       "..           ...        ...        ...            ...  ..  ..       ...   ...   \n",
+       "995     4.292554  17.390299  26.094378      12.168256   1  25       385     4   \n",
+       "996     3.966266  20.978287   6.818712      20.631338   1  25       385     4   \n",
+       "997     4.752905  31.085584  21.591315      13.750595   1  25       385     4   \n",
+       "998     2.341680   2.246501  14.653117      31.593280   1  25       385     4   \n",
+       "999     5.146907  19.839213  21.021931      23.923168   1  25       385     4   \n",
+       "\n",
+       "     sum1       sum2  \n",
+       "0    96.0  59.405116  \n",
+       "1    96.0  91.461600  \n",
+       "2    96.0  84.755600  \n",
+       "3    96.0  60.781876  \n",
+       "4    96.0  42.596160  \n",
+       "..    ...        ...  \n",
+       "995  96.0  60.175955  \n",
+       "996  96.0  67.234401  \n",
+       "997  96.0  82.758185  \n",
+       "998  96.0  63.015399  \n",
+       "999  96.0  88.962283  \n",
+       "\n",
+       "[1000 rows x 16 columns]"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "input = sampled_df\n",
+    "sampled_df['sum1']= sampled_df['C3S']+sampled_df['C2S']+sampled_df['C3A']+sampled_df['C4AF']\n",
+    "sampled_df['sum2']=sampled_df['limestone']+sampled_df['silica_fume']+sampled_df['GGBFS']+sampled_df['fly_ash']+sampled_df['calcined_clay']\n",
+    "\n",
+    "\n",
+    "sampled_df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "f19d5e66-77eb-4e0c-b7c7-6f3370266f5c",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>C3S</th>\n",
+       "      <th>C2S</th>\n",
+       "      <th>C3A</th>\n",
+       "      <th>C4AF</th>\n",
+       "      <th>wc</th>\n",
+       "      <th>limestone</th>\n",
+       "      <th>silica_fume</th>\n",
+       "      <th>GGBFS</th>\n",
+       "      <th>fly_ash</th>\n",
+       "      <th>calcined_clay</th>\n",
+       "      <th>RH</th>\n",
+       "      <th>T</th>\n",
+       "      <th>fineness</th>\n",
+       "      <th>CSH2</th>\n",
+       "      <th>sum1</th>\n",
+       "      <th>sum2</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>57.647781</td>\n",
+       "      <td>26.151845</td>\n",
+       "      <td>6.628009</td>\n",
+       "      <td>5.572365</td>\n",
+       "      <td>0.661962</td>\n",
+       "      <td>6.880488</td>\n",
+       "      <td>8.962389</td>\n",
+       "      <td>12.187488</td>\n",
+       "      <td>26.210516</td>\n",
+       "      <td>5.164236</td>\n",
+       "      <td>1</td>\n",
+       "      <td>25</td>\n",
+       "      <td>385</td>\n",
+       "      <td>4</td>\n",
+       "      <td>96.0</td>\n",
+       "      <td>59.405116</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>64.773646</td>\n",
+       "      <td>17.605959</td>\n",
+       "      <td>7.152201</td>\n",
+       "      <td>6.468193</td>\n",
+       "      <td>0.465823</td>\n",
+       "      <td>14.975455</td>\n",
+       "      <td>1.114454</td>\n",
+       "      <td>15.817766</td>\n",
+       "      <td>29.826033</td>\n",
+       "      <td>29.727892</td>\n",
+       "      <td>1</td>\n",
+       "      <td>25</td>\n",
+       "      <td>385</td>\n",
+       "      <td>4</td>\n",
+       "      <td>96.0</td>\n",
+       "      <td>91.461600</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>60.857278</td>\n",
+       "      <td>21.823251</td>\n",
+       "      <td>11.823600</td>\n",
+       "      <td>1.495871</td>\n",
+       "      <td>0.400889</td>\n",
+       "      <td>11.196107</td>\n",
+       "      <td>8.455333</td>\n",
+       "      <td>9.763467</td>\n",
+       "      <td>30.339600</td>\n",
+       "      <td>25.001093</td>\n",
+       "      <td>1</td>\n",
+       "      <td>25</td>\n",
+       "      <td>385</td>\n",
+       "      <td>4</td>\n",
+       "      <td>96.0</td>\n",
+       "      <td>84.755600</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>55.248035</td>\n",
+       "      <td>27.030514</td>\n",
+       "      <td>5.217009</td>\n",
+       "      <td>8.504442</td>\n",
+       "      <td>0.462212</td>\n",
+       "      <td>5.756211</td>\n",
+       "      <td>9.118701</td>\n",
+       "      <td>0.473350</td>\n",
+       "      <td>26.277058</td>\n",
+       "      <td>19.156557</td>\n",
+       "      <td>1</td>\n",
+       "      <td>25</td>\n",
+       "      <td>385</td>\n",
+       "      <td>4</td>\n",
+       "      <td>96.0</td>\n",
+       "      <td>60.781876</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>57.710815</td>\n",
+       "      <td>16.303625</td>\n",
+       "      <td>9.094807</td>\n",
+       "      <td>12.890753</td>\n",
+       "      <td>0.632467</td>\n",
+       "      <td>3.523905</td>\n",
+       "      <td>5.406125</td>\n",
+       "      <td>19.694909</td>\n",
+       "      <td>2.776113</td>\n",
+       "      <td>11.195109</td>\n",
+       "      <td>1</td>\n",
+       "      <td>25</td>\n",
+       "      <td>385</td>\n",
+       "      <td>4</td>\n",
+       "      <td>96.0</td>\n",
+       "      <td>42.596160</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>995</th>\n",
+       "      <td>71.058060</td>\n",
+       "      <td>16.755838</td>\n",
+       "      <td>4.603968</td>\n",
+       "      <td>3.582134</td>\n",
+       "      <td>0.460128</td>\n",
+       "      <td>0.230468</td>\n",
+       "      <td>4.292554</td>\n",
+       "      <td>17.390299</td>\n",
+       "      <td>26.094378</td>\n",
+       "      <td>12.168256</td>\n",
+       "      <td>1</td>\n",
+       "      <td>25</td>\n",
+       "      <td>385</td>\n",
+       "      <td>4</td>\n",
+       "      <td>96.0</td>\n",
+       "      <td>60.175955</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>996</th>\n",
+       "      <td>54.143969</td>\n",
+       "      <td>23.010890</td>\n",
+       "      <td>11.745269</td>\n",
+       "      <td>7.099872</td>\n",
+       "      <td>0.631194</td>\n",
+       "      <td>14.839799</td>\n",
+       "      <td>3.966266</td>\n",
+       "      <td>20.978287</td>\n",
+       "      <td>6.818712</td>\n",
+       "      <td>20.631338</td>\n",
+       "      <td>1</td>\n",
+       "      <td>25</td>\n",
+       "      <td>385</td>\n",
+       "      <td>4</td>\n",
+       "      <td>96.0</td>\n",
+       "      <td>67.234401</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>997</th>\n",
+       "      <td>64.676746</td>\n",
+       "      <td>26.630476</td>\n",
+       "      <td>1.413039</td>\n",
+       "      <td>3.279739</td>\n",
+       "      <td>0.457343</td>\n",
+       "      <td>11.577786</td>\n",
+       "      <td>4.752905</td>\n",
+       "      <td>31.085584</td>\n",
+       "      <td>21.591315</td>\n",
+       "      <td>13.750595</td>\n",
+       "      <td>1</td>\n",
+       "      <td>25</td>\n",
+       "      <td>385</td>\n",
+       "      <td>4</td>\n",
+       "      <td>96.0</td>\n",
+       "      <td>82.758185</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>998</th>\n",
+       "      <td>61.016788</td>\n",
+       "      <td>23.433337</td>\n",
+       "      <td>9.582049</td>\n",
+       "      <td>1.967826</td>\n",
+       "      <td>0.664557</td>\n",
+       "      <td>12.180821</td>\n",
+       "      <td>2.341680</td>\n",
+       "      <td>2.246501</td>\n",
+       "      <td>14.653117</td>\n",
+       "      <td>31.593280</td>\n",
+       "      <td>1</td>\n",
+       "      <td>25</td>\n",
+       "      <td>385</td>\n",
+       "      <td>4</td>\n",
+       "      <td>96.0</td>\n",
+       "      <td>63.015399</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>999</th>\n",
+       "      <td>70.732394</td>\n",
+       "      <td>19.756046</td>\n",
+       "      <td>3.441513</td>\n",
+       "      <td>2.070047</td>\n",
+       "      <td>0.597458</td>\n",
+       "      <td>19.031065</td>\n",
+       "      <td>5.146907</td>\n",
+       "      <td>19.839213</td>\n",
+       "      <td>21.021931</td>\n",
+       "      <td>23.923168</td>\n",
+       "      <td>1</td>\n",
+       "      <td>25</td>\n",
+       "      <td>385</td>\n",
+       "      <td>4</td>\n",
+       "      <td>96.0</td>\n",
+       "      <td>88.962283</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1000 rows × 16 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           C3S        C2S        C3A       C4AF        wc  limestone  \\\n",
+       "0    57.647781  26.151845   6.628009   5.572365  0.661962   6.880488   \n",
+       "1    64.773646  17.605959   7.152201   6.468193  0.465823  14.975455   \n",
+       "2    60.857278  21.823251  11.823600   1.495871  0.400889  11.196107   \n",
+       "3    55.248035  27.030514   5.217009   8.504442  0.462212   5.756211   \n",
+       "4    57.710815  16.303625   9.094807  12.890753  0.632467   3.523905   \n",
+       "..         ...        ...        ...        ...       ...        ...   \n",
+       "995  71.058060  16.755838   4.603968   3.582134  0.460128   0.230468   \n",
+       "996  54.143969  23.010890  11.745269   7.099872  0.631194  14.839799   \n",
+       "997  64.676746  26.630476   1.413039   3.279739  0.457343  11.577786   \n",
+       "998  61.016788  23.433337   9.582049   1.967826  0.664557  12.180821   \n",
+       "999  70.732394  19.756046   3.441513   2.070047  0.597458  19.031065   \n",
+       "\n",
+       "     silica_fume      GGBFS    fly_ash  calcined_clay  RH   T  fineness  CSH2  \\\n",
+       "0       8.962389  12.187488  26.210516       5.164236   1  25       385     4   \n",
+       "1       1.114454  15.817766  29.826033      29.727892   1  25       385     4   \n",
+       "2       8.455333   9.763467  30.339600      25.001093   1  25       385     4   \n",
+       "3       9.118701   0.473350  26.277058      19.156557   1  25       385     4   \n",
+       "4       5.406125  19.694909   2.776113      11.195109   1  25       385     4   \n",
+       "..           ...        ...        ...            ...  ..  ..       ...   ...   \n",
+       "995     4.292554  17.390299  26.094378      12.168256   1  25       385     4   \n",
+       "996     3.966266  20.978287   6.818712      20.631338   1  25       385     4   \n",
+       "997     4.752905  31.085584  21.591315      13.750595   1  25       385     4   \n",
+       "998     2.341680   2.246501  14.653117      31.593280   1  25       385     4   \n",
+       "999     5.146907  19.839213  21.021931      23.923168   1  25       385     4   \n",
+       "\n",
+       "     sum1       sum2  \n",
+       "0    96.0  59.405116  \n",
+       "1    96.0  91.461600  \n",
+       "2    96.0  84.755600  \n",
+       "3    96.0  60.781876  \n",
+       "4    96.0  42.596160  \n",
+       "..    ...        ...  \n",
+       "995  96.0  60.175955  \n",
+       "996  96.0  67.234401  \n",
+       "997  96.0  82.758185  \n",
+       "998  96.0  63.015399  \n",
+       "999  96.0  88.962283  \n",
+       "\n",
+       "[1000 rows x 16 columns]"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "sampled_df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "7d42c3e7-5009-4c7b-813f-b938e58917a5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import seaborn as sns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "facd9873-635a-485d-9013-cb1692f9195a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>C3S</th>\n",
+       "      <th>C2S</th>\n",
+       "      <th>C3A</th>\n",
+       "      <th>C4AF</th>\n",
+       "      <th>wc</th>\n",
+       "      <th>limestone</th>\n",
+       "      <th>silica_fume</th>\n",
+       "      <th>GGBFS</th>\n",
+       "      <th>fly_ash</th>\n",
+       "      <th>calcined_clay</th>\n",
+       "      <th>RH</th>\n",
+       "      <th>T</th>\n",
+       "      <th>fineness</th>\n",
+       "      <th>CSH2</th>\n",
+       "      <th>sum1</th>\n",
+       "      <th>sum2</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>1000.000000</td>\n",
+       "      <td>1000.000000</td>\n",
+       "      <td>1000.000000</td>\n",
+       "      <td>1000.000000</td>\n",
+       "      <td>1000.000000</td>\n",
+       "      <td>1000.000000</td>\n",
+       "      <td>1000.000000</td>\n",
+       "      <td>1000.000000</td>\n",
+       "      <td>1000.000000</td>\n",
+       "      <td>1000.000000</td>\n",
+       "      <td>1000.0</td>\n",
+       "      <td>1000.0</td>\n",
+       "      <td>1000.0</td>\n",
+       "      <td>1000.0</td>\n",
+       "      <td>1000.000000</td>\n",
+       "      <td>1000.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>61.340666</td>\n",
+       "      <td>20.538725</td>\n",
+       "      <td>6.781305</td>\n",
+       "      <td>7.276291</td>\n",
+       "      <td>0.500004</td>\n",
+       "      <td>9.963405</td>\n",
+       "      <td>4.982298</td>\n",
+       "      <td>17.423177</td>\n",
+       "      <td>17.422855</td>\n",
+       "      <td>17.426367</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>385.0</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>95.936987</td>\n",
+       "      <td>67.218102</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>6.559620</td>\n",
+       "      <td>5.552514</td>\n",
+       "      <td>3.795274</td>\n",
+       "      <td>4.117530</td>\n",
+       "      <td>0.115533</td>\n",
+       "      <td>5.743958</td>\n",
+       "      <td>2.873165</td>\n",
+       "      <td>10.018690</td>\n",
+       "      <td>10.018371</td>\n",
+       "      <td>10.030107</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.362839</td>\n",
+       "      <td>18.477271</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>45.475535</td>\n",
+       "      <td>10.000000</td>\n",
+       "      <td>0.001371</td>\n",
+       "      <td>0.005338</td>\n",
+       "      <td>0.300035</td>\n",
+       "      <td>0.008889</td>\n",
+       "      <td>0.002541</td>\n",
+       "      <td>0.012270</td>\n",
+       "      <td>0.015854</td>\n",
+       "      <td>0.001038</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>385.0</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>91.756278</td>\n",
+       "      <td>18.424384</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>56.862882</td>\n",
+       "      <td>16.137216</td>\n",
+       "      <td>3.678623</td>\n",
+       "      <td>3.902709</td>\n",
+       "      <td>0.400156</td>\n",
+       "      <td>5.004866</td>\n",
+       "      <td>2.501946</td>\n",
+       "      <td>8.760232</td>\n",
+       "      <td>8.761564</td>\n",
+       "      <td>8.759939</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>385.0</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>96.000000</td>\n",
+       "      <td>54.834483</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>61.516362</td>\n",
+       "      <td>20.447200</td>\n",
+       "      <td>6.872232</td>\n",
+       "      <td>7.509099</td>\n",
+       "      <td>0.500117</td>\n",
+       "      <td>9.978398</td>\n",
+       "      <td>4.999562</td>\n",
+       "      <td>17.510517</td>\n",
+       "      <td>17.497707</td>\n",
+       "      <td>17.464395</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>385.0</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>96.000000</td>\n",
+       "      <td>67.135073</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>65.834901</td>\n",
+       "      <td>24.901943</td>\n",
+       "      <td>9.789343</td>\n",
+       "      <td>10.572103</td>\n",
+       "      <td>0.599918</td>\n",
+       "      <td>14.963233</td>\n",
+       "      <td>7.476047</td>\n",
+       "      <td>26.146653</td>\n",
+       "      <td>25.948581</td>\n",
+       "      <td>26.134490</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>385.0</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>96.000000</td>\n",
+       "      <td>80.768122</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>80.000000</td>\n",
+       "      <td>32.000000</td>\n",
+       "      <td>14.000000</td>\n",
+       "      <td>15.000000</td>\n",
+       "      <td>0.699976</td>\n",
+       "      <td>19.945079</td>\n",
+       "      <td>9.990086</td>\n",
+       "      <td>34.961315</td>\n",
+       "      <td>34.998644</td>\n",
+       "      <td>34.985152</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>385.0</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>97.295720</td>\n",
+       "      <td>100.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "               C3S          C2S          C3A         C4AF           wc  \\\n",
+       "count  1000.000000  1000.000000  1000.000000  1000.000000  1000.000000   \n",
+       "mean     61.340666    20.538725     6.781305     7.276291     0.500004   \n",
+       "std       6.559620     5.552514     3.795274     4.117530     0.115533   \n",
+       "min      45.475535    10.000000     0.001371     0.005338     0.300035   \n",
+       "25%      56.862882    16.137216     3.678623     3.902709     0.400156   \n",
+       "50%      61.516362    20.447200     6.872232     7.509099     0.500117   \n",
+       "75%      65.834901    24.901943     9.789343    10.572103     0.599918   \n",
+       "max      80.000000    32.000000    14.000000    15.000000     0.699976   \n",
+       "\n",
+       "         limestone  silica_fume        GGBFS      fly_ash  calcined_clay  \\\n",
+       "count  1000.000000  1000.000000  1000.000000  1000.000000    1000.000000   \n",
+       "mean      9.963405     4.982298    17.423177    17.422855      17.426367   \n",
+       "std       5.743958     2.873165    10.018690    10.018371      10.030107   \n",
+       "min       0.008889     0.002541     0.012270     0.015854       0.001038   \n",
+       "25%       5.004866     2.501946     8.760232     8.761564       8.759939   \n",
+       "50%       9.978398     4.999562    17.510517    17.497707      17.464395   \n",
+       "75%      14.963233     7.476047    26.146653    25.948581      26.134490   \n",
+       "max      19.945079     9.990086    34.961315    34.998644      34.985152   \n",
+       "\n",
+       "           RH       T  fineness    CSH2         sum1         sum2  \n",
+       "count  1000.0  1000.0    1000.0  1000.0  1000.000000  1000.000000  \n",
+       "mean      1.0    25.0     385.0     4.0    95.936987    67.218102  \n",
+       "std       0.0     0.0       0.0     0.0     0.362839    18.477271  \n",
+       "min       1.0    25.0     385.0     4.0    91.756278    18.424384  \n",
+       "25%       1.0    25.0     385.0     4.0    96.000000    54.834483  \n",
+       "50%       1.0    25.0     385.0     4.0    96.000000    67.135073  \n",
+       "75%       1.0    25.0     385.0     4.0    96.000000    80.768122  \n",
+       "max       1.0    25.0     385.0     4.0    97.295720   100.000000  "
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "sampled_df.describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "4621575c-d42c-4518-91c3-b76b67fd9bf5",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Index(['C3S', 'C2S', 'C3A', 'C4AF', 'wc', 'limestone', 'silica_fume', 'GGBFS',\n",
+       "       'fly_ash', 'calcined_clay', 'RH', 'T', 'fineness', 'CSH2', 'sum1',\n",
+       "       'sum2'],\n",
+       "      dtype='object')"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "sampled_df.keys()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "0521dfee-ff41-4b35-834e-cdbf302e7c10",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<seaborn.axisgrid.PairGrid at 0x7fdc36ccd120>"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x1000 with 20 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.pairplot(sampled_df[['C3S', 'C2S', 'C3A', 'C4AF']])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "9b1985ff-19c3-4bd0-aba9-b0c9befacbe1",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<seaborn.axisgrid.PairGrid at 0x7fdc2dfb0130>"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1500x1500 with 42 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.pairplot(sampled_df[['wc', 'limestone', 'silica_fume', 'GGBFS',\n",
+    "       'fly_ash', 'calcined_clay']])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "028601a9-0e14-4466-8b09-ca678b00142f",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "8993f74b-df1b-49be-ba92-09a918323b62",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "output_materials = ['aq_gen', 'CSHQ', 'Portlandite', 'C3AH6'] #, 'ettringite-AlFe', 'C4AsH12','C4AsH12'(Afm), 'SiO2'(silicate fume), 'ettringite-AlFe' \n",
+    "output_materials = [\"Alite\", \"Belite\", \"Aluminate\", \"Ferrite\", \"Portlandite\", \"C3AH6\", \"C4AsH12\", \"aq_gen\",  \"ettringite-AlFe\", \"hemihydrate\", \"Anhydrite\",\"arcanite\",\"thenardite\",\"CSHQ\", \"C3AH6\",\"monosulph-AlFe\" ]\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "82993c42-0590-4147-b3f5-827fcfe08400",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>C3S</th>\n",
+       "      <th>C2S</th>\n",
+       "      <th>C3A</th>\n",
+       "      <th>C4AF</th>\n",
+       "      <th>wc</th>\n",
+       "      <th>limestone</th>\n",
+       "      <th>silica_fume</th>\n",
+       "      <th>GGBFS</th>\n",
+       "      <th>fly_ash</th>\n",
+       "      <th>calcined_clay</th>\n",
+       "      <th>RH</th>\n",
+       "      <th>T</th>\n",
+       "      <th>fineness</th>\n",
+       "      <th>CSH2</th>\n",
+       "      <th>sum1</th>\n",
+       "      <th>sum2</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>57.647781</td>\n",
+       "      <td>26.151845</td>\n",
+       "      <td>6.628009</td>\n",
+       "      <td>5.572365</td>\n",
+       "      <td>0.661962</td>\n",
+       "      <td>6.880488</td>\n",
+       "      <td>8.962389</td>\n",
+       "      <td>12.187488</td>\n",
+       "      <td>26.210516</td>\n",
+       "      <td>5.164236</td>\n",
+       "      <td>1</td>\n",
+       "      <td>25</td>\n",
+       "      <td>385</td>\n",
+       "      <td>4</td>\n",
+       "      <td>96.0</td>\n",
+       "      <td>59.405116</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>64.773646</td>\n",
+       "      <td>17.605959</td>\n",
+       "      <td>7.152201</td>\n",
+       "      <td>6.468193</td>\n",
+       "      <td>0.465823</td>\n",
+       "      <td>14.975455</td>\n",
+       "      <td>1.114454</td>\n",
+       "      <td>15.817766</td>\n",
+       "      <td>29.826033</td>\n",
+       "      <td>29.727892</td>\n",
+       "      <td>1</td>\n",
+       "      <td>25</td>\n",
+       "      <td>385</td>\n",
+       "      <td>4</td>\n",
+       "      <td>96.0</td>\n",
+       "      <td>91.461600</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>60.857278</td>\n",
+       "      <td>21.823251</td>\n",
+       "      <td>11.823600</td>\n",
+       "      <td>1.495871</td>\n",
+       "      <td>0.400889</td>\n",
+       "      <td>11.196107</td>\n",
+       "      <td>8.455333</td>\n",
+       "      <td>9.763467</td>\n",
+       "      <td>30.339600</td>\n",
+       "      <td>25.001093</td>\n",
+       "      <td>1</td>\n",
+       "      <td>25</td>\n",
+       "      <td>385</td>\n",
+       "      <td>4</td>\n",
+       "      <td>96.0</td>\n",
+       "      <td>84.755600</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>55.248035</td>\n",
+       "      <td>27.030514</td>\n",
+       "      <td>5.217009</td>\n",
+       "      <td>8.504442</td>\n",
+       "      <td>0.462212</td>\n",
+       "      <td>5.756211</td>\n",
+       "      <td>9.118701</td>\n",
+       "      <td>0.473350</td>\n",
+       "      <td>26.277058</td>\n",
+       "      <td>19.156557</td>\n",
+       "      <td>1</td>\n",
+       "      <td>25</td>\n",
+       "      <td>385</td>\n",
+       "      <td>4</td>\n",
+       "      <td>96.0</td>\n",
+       "      <td>60.781876</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>57.710815</td>\n",
+       "      <td>16.303625</td>\n",
+       "      <td>9.094807</td>\n",
+       "      <td>12.890753</td>\n",
+       "      <td>0.632467</td>\n",
+       "      <td>3.523905</td>\n",
+       "      <td>5.406125</td>\n",
+       "      <td>19.694909</td>\n",
+       "      <td>2.776113</td>\n",
+       "      <td>11.195109</td>\n",
+       "      <td>1</td>\n",
+       "      <td>25</td>\n",
+       "      <td>385</td>\n",
+       "      <td>4</td>\n",
+       "      <td>96.0</td>\n",
+       "      <td>42.596160</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>995</th>\n",
+       "      <td>71.058060</td>\n",
+       "      <td>16.755838</td>\n",
+       "      <td>4.603968</td>\n",
+       "      <td>3.582134</td>\n",
+       "      <td>0.460128</td>\n",
+       "      <td>0.230468</td>\n",
+       "      <td>4.292554</td>\n",
+       "      <td>17.390299</td>\n",
+       "      <td>26.094378</td>\n",
+       "      <td>12.168256</td>\n",
+       "      <td>1</td>\n",
+       "      <td>25</td>\n",
+       "      <td>385</td>\n",
+       "      <td>4</td>\n",
+       "      <td>96.0</td>\n",
+       "      <td>60.175955</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>996</th>\n",
+       "      <td>54.143969</td>\n",
+       "      <td>23.010890</td>\n",
+       "      <td>11.745269</td>\n",
+       "      <td>7.099872</td>\n",
+       "      <td>0.631194</td>\n",
+       "      <td>14.839799</td>\n",
+       "      <td>3.966266</td>\n",
+       "      <td>20.978287</td>\n",
+       "      <td>6.818712</td>\n",
+       "      <td>20.631338</td>\n",
+       "      <td>1</td>\n",
+       "      <td>25</td>\n",
+       "      <td>385</td>\n",
+       "      <td>4</td>\n",
+       "      <td>96.0</td>\n",
+       "      <td>67.234401</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>997</th>\n",
+       "      <td>64.676746</td>\n",
+       "      <td>26.630476</td>\n",
+       "      <td>1.413039</td>\n",
+       "      <td>3.279739</td>\n",
+       "      <td>0.457343</td>\n",
+       "      <td>11.577786</td>\n",
+       "      <td>4.752905</td>\n",
+       "      <td>31.085584</td>\n",
+       "      <td>21.591315</td>\n",
+       "      <td>13.750595</td>\n",
+       "      <td>1</td>\n",
+       "      <td>25</td>\n",
+       "      <td>385</td>\n",
+       "      <td>4</td>\n",
+       "      <td>96.0</td>\n",
+       "      <td>82.758185</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>998</th>\n",
+       "      <td>61.016788</td>\n",
+       "      <td>23.433337</td>\n",
+       "      <td>9.582049</td>\n",
+       "      <td>1.967826</td>\n",
+       "      <td>0.664557</td>\n",
+       "      <td>12.180821</td>\n",
+       "      <td>2.341680</td>\n",
+       "      <td>2.246501</td>\n",
+       "      <td>14.653117</td>\n",
+       "      <td>31.593280</td>\n",
+       "      <td>1</td>\n",
+       "      <td>25</td>\n",
+       "      <td>385</td>\n",
+       "      <td>4</td>\n",
+       "      <td>96.0</td>\n",
+       "      <td>63.015399</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>999</th>\n",
+       "      <td>70.732394</td>\n",
+       "      <td>19.756046</td>\n",
+       "      <td>3.441513</td>\n",
+       "      <td>2.070047</td>\n",
+       "      <td>0.597458</td>\n",
+       "      <td>19.031065</td>\n",
+       "      <td>5.146907</td>\n",
+       "      <td>19.839213</td>\n",
+       "      <td>21.021931</td>\n",
+       "      <td>23.923168</td>\n",
+       "      <td>1</td>\n",
+       "      <td>25</td>\n",
+       "      <td>385</td>\n",
+       "      <td>4</td>\n",
+       "      <td>96.0</td>\n",
+       "      <td>88.962283</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1000 rows × 16 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           C3S        C2S        C3A       C4AF        wc  limestone  \\\n",
+       "0    57.647781  26.151845   6.628009   5.572365  0.661962   6.880488   \n",
+       "1    64.773646  17.605959   7.152201   6.468193  0.465823  14.975455   \n",
+       "2    60.857278  21.823251  11.823600   1.495871  0.400889  11.196107   \n",
+       "3    55.248035  27.030514   5.217009   8.504442  0.462212   5.756211   \n",
+       "4    57.710815  16.303625   9.094807  12.890753  0.632467   3.523905   \n",
+       "..         ...        ...        ...        ...       ...        ...   \n",
+       "995  71.058060  16.755838   4.603968   3.582134  0.460128   0.230468   \n",
+       "996  54.143969  23.010890  11.745269   7.099872  0.631194  14.839799   \n",
+       "997  64.676746  26.630476   1.413039   3.279739  0.457343  11.577786   \n",
+       "998  61.016788  23.433337   9.582049   1.967826  0.664557  12.180821   \n",
+       "999  70.732394  19.756046   3.441513   2.070047  0.597458  19.031065   \n",
+       "\n",
+       "     silica_fume      GGBFS    fly_ash  calcined_clay  RH   T  fineness  CSH2  \\\n",
+       "0       8.962389  12.187488  26.210516       5.164236   1  25       385     4   \n",
+       "1       1.114454  15.817766  29.826033      29.727892   1  25       385     4   \n",
+       "2       8.455333   9.763467  30.339600      25.001093   1  25       385     4   \n",
+       "3       9.118701   0.473350  26.277058      19.156557   1  25       385     4   \n",
+       "4       5.406125  19.694909   2.776113      11.195109   1  25       385     4   \n",
+       "..           ...        ...        ...            ...  ..  ..       ...   ...   \n",
+       "995     4.292554  17.390299  26.094378      12.168256   1  25       385     4   \n",
+       "996     3.966266  20.978287   6.818712      20.631338   1  25       385     4   \n",
+       "997     4.752905  31.085584  21.591315      13.750595   1  25       385     4   \n",
+       "998     2.341680   2.246501  14.653117      31.593280   1  25       385     4   \n",
+       "999     5.146907  19.839213  21.021931      23.923168   1  25       385     4   \n",
+       "\n",
+       "     sum1       sum2  \n",
+       "0    96.0  59.405116  \n",
+       "1    96.0  91.461600  \n",
+       "2    96.0  84.755600  \n",
+       "3    96.0  60.781876  \n",
+       "4    96.0  42.596160  \n",
+       "..    ...        ...  \n",
+       "995  96.0  60.175955  \n",
+       "996  96.0  67.234401  \n",
+       "997  96.0  82.758185  \n",
+       "998  96.0  63.015399  \n",
+       "999  96.0  88.962283  \n",
+       "\n",
+       "[1000 rows x 16 columns]"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "input"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "ee3fb214-31ae-4606-9df3-6c567292418c",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>C3S</th>\n",
+       "      <th>C2S</th>\n",
+       "      <th>C3A</th>\n",
+       "      <th>C4AF</th>\n",
+       "      <th>wc</th>\n",
+       "      <th>RH</th>\n",
+       "      <th>T</th>\n",
+       "      <th>fineness</th>\n",
+       "      <th>CSH2</th>\n",
+       "      <th>limestone</th>\n",
+       "      <th>silica_fume</th>\n",
+       "      <th>GGBFS</th>\n",
+       "      <th>fly_ash</th>\n",
+       "      <th>calcined_clay</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>57.647781</td>\n",
+       "      <td>26.151845</td>\n",
+       "      <td>6.628009</td>\n",
+       "      <td>5.572365</td>\n",
+       "      <td>0.661962</td>\n",
+       "      <td>1</td>\n",
+       "      <td>25</td>\n",
+       "      <td>385</td>\n",
+       "      <td>4</td>\n",
+       "      <td>6.880488</td>\n",
+       "      <td>8.962389</td>\n",
+       "      <td>12.187488</td>\n",
+       "      <td>26.210516</td>\n",
+       "      <td>5.164236</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>64.773646</td>\n",
+       "      <td>17.605959</td>\n",
+       "      <td>7.152201</td>\n",
+       "      <td>6.468193</td>\n",
+       "      <td>0.465823</td>\n",
+       "      <td>1</td>\n",
+       "      <td>25</td>\n",
+       "      <td>385</td>\n",
+       "      <td>4</td>\n",
+       "      <td>14.975455</td>\n",
+       "      <td>1.114454</td>\n",
+       "      <td>15.817766</td>\n",
+       "      <td>29.826033</td>\n",
+       "      <td>29.727892</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>60.857278</td>\n",
+       "      <td>21.823251</td>\n",
+       "      <td>11.823600</td>\n",
+       "      <td>1.495871</td>\n",
+       "      <td>0.400889</td>\n",
+       "      <td>1</td>\n",
+       "      <td>25</td>\n",
+       "      <td>385</td>\n",
+       "      <td>4</td>\n",
+       "      <td>11.196107</td>\n",
+       "      <td>8.455333</td>\n",
+       "      <td>9.763467</td>\n",
+       "      <td>30.339600</td>\n",
+       "      <td>25.001093</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>55.248035</td>\n",
+       "      <td>27.030514</td>\n",
+       "      <td>5.217009</td>\n",
+       "      <td>8.504442</td>\n",
+       "      <td>0.462212</td>\n",
+       "      <td>1</td>\n",
+       "      <td>25</td>\n",
+       "      <td>385</td>\n",
+       "      <td>4</td>\n",
+       "      <td>5.756211</td>\n",
+       "      <td>9.118701</td>\n",
+       "      <td>0.473350</td>\n",
+       "      <td>26.277058</td>\n",
+       "      <td>19.156557</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>57.710815</td>\n",
+       "      <td>16.303625</td>\n",
+       "      <td>9.094807</td>\n",
+       "      <td>12.890753</td>\n",
+       "      <td>0.632467</td>\n",
+       "      <td>1</td>\n",
+       "      <td>25</td>\n",
+       "      <td>385</td>\n",
+       "      <td>4</td>\n",
+       "      <td>3.523905</td>\n",
+       "      <td>5.406125</td>\n",
+       "      <td>19.694909</td>\n",
+       "      <td>2.776113</td>\n",
+       "      <td>11.195109</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>995</th>\n",
+       "      <td>71.058060</td>\n",
+       "      <td>16.755838</td>\n",
+       "      <td>4.603968</td>\n",
+       "      <td>3.582134</td>\n",
+       "      <td>0.460128</td>\n",
+       "      <td>1</td>\n",
+       "      <td>25</td>\n",
+       "      <td>385</td>\n",
+       "      <td>4</td>\n",
+       "      <td>0.230468</td>\n",
+       "      <td>4.292554</td>\n",
+       "      <td>17.390299</td>\n",
+       "      <td>26.094378</td>\n",
+       "      <td>12.168256</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>996</th>\n",
+       "      <td>54.143969</td>\n",
+       "      <td>23.010890</td>\n",
+       "      <td>11.745269</td>\n",
+       "      <td>7.099872</td>\n",
+       "      <td>0.631194</td>\n",
+       "      <td>1</td>\n",
+       "      <td>25</td>\n",
+       "      <td>385</td>\n",
+       "      <td>4</td>\n",
+       "      <td>14.839799</td>\n",
+       "      <td>3.966266</td>\n",
+       "      <td>20.978287</td>\n",
+       "      <td>6.818712</td>\n",
+       "      <td>20.631338</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>997</th>\n",
+       "      <td>64.676746</td>\n",
+       "      <td>26.630476</td>\n",
+       "      <td>1.413039</td>\n",
+       "      <td>3.279739</td>\n",
+       "      <td>0.457343</td>\n",
+       "      <td>1</td>\n",
+       "      <td>25</td>\n",
+       "      <td>385</td>\n",
+       "      <td>4</td>\n",
+       "      <td>11.577786</td>\n",
+       "      <td>4.752905</td>\n",
+       "      <td>31.085584</td>\n",
+       "      <td>21.591315</td>\n",
+       "      <td>13.750595</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>998</th>\n",
+       "      <td>61.016788</td>\n",
+       "      <td>23.433337</td>\n",
+       "      <td>9.582049</td>\n",
+       "      <td>1.967826</td>\n",
+       "      <td>0.664557</td>\n",
+       "      <td>1</td>\n",
+       "      <td>25</td>\n",
+       "      <td>385</td>\n",
+       "      <td>4</td>\n",
+       "      <td>12.180821</td>\n",
+       "      <td>2.341680</td>\n",
+       "      <td>2.246501</td>\n",
+       "      <td>14.653117</td>\n",
+       "      <td>31.593280</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>999</th>\n",
+       "      <td>70.732394</td>\n",
+       "      <td>19.756046</td>\n",
+       "      <td>3.441513</td>\n",
+       "      <td>2.070047</td>\n",
+       "      <td>0.597458</td>\n",
+       "      <td>1</td>\n",
+       "      <td>25</td>\n",
+       "      <td>385</td>\n",
+       "      <td>4</td>\n",
+       "      <td>19.031065</td>\n",
+       "      <td>5.146907</td>\n",
+       "      <td>19.839213</td>\n",
+       "      <td>21.021931</td>\n",
+       "      <td>23.923168</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1000 rows × 14 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           C3S        C2S        C3A       C4AF        wc  RH   T  fineness  \\\n",
+       "0    57.647781  26.151845   6.628009   5.572365  0.661962   1  25       385   \n",
+       "1    64.773646  17.605959   7.152201   6.468193  0.465823   1  25       385   \n",
+       "2    60.857278  21.823251  11.823600   1.495871  0.400889   1  25       385   \n",
+       "3    55.248035  27.030514   5.217009   8.504442  0.462212   1  25       385   \n",
+       "4    57.710815  16.303625   9.094807  12.890753  0.632467   1  25       385   \n",
+       "..         ...        ...        ...        ...       ...  ..  ..       ...   \n",
+       "995  71.058060  16.755838   4.603968   3.582134  0.460128   1  25       385   \n",
+       "996  54.143969  23.010890  11.745269   7.099872  0.631194   1  25       385   \n",
+       "997  64.676746  26.630476   1.413039   3.279739  0.457343   1  25       385   \n",
+       "998  61.016788  23.433337   9.582049   1.967826  0.664557   1  25       385   \n",
+       "999  70.732394  19.756046   3.441513   2.070047  0.597458   1  25       385   \n",
+       "\n",
+       "     CSH2  limestone  silica_fume      GGBFS    fly_ash  calcined_clay  \n",
+       "0       4   6.880488     8.962389  12.187488  26.210516       5.164236  \n",
+       "1       4  14.975455     1.114454  15.817766  29.826033      29.727892  \n",
+       "2       4  11.196107     8.455333   9.763467  30.339600      25.001093  \n",
+       "3       4   5.756211     9.118701   0.473350  26.277058      19.156557  \n",
+       "4       4   3.523905     5.406125  19.694909   2.776113      11.195109  \n",
+       "..    ...        ...          ...        ...        ...            ...  \n",
+       "995     4   0.230468     4.292554  17.390299  26.094378      12.168256  \n",
+       "996     4  14.839799     3.966266  20.978287   6.818712      20.631338  \n",
+       "997     4  11.577786     4.752905  31.085584  21.591315      13.750595  \n",
+       "998     4  12.180821     2.341680   2.246501  14.653117      31.593280  \n",
+       "999     4  19.031065     5.146907  19.839213  21.021931      23.923168  \n",
+       "\n",
+       "[1000 rows x 14 columns]"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "new_order = [\n",
+    "    'C3S', 'C2S', 'C3A', 'C4AF', 'wc', \n",
+    "    'RH', 'T', 'fineness', 'CSH2', \n",
+    "    'limestone', 'silica_fume', 'GGBFS',\n",
+    "    'fly_ash', 'calcined_clay'\n",
+    "]\n",
+    "\n",
+    "# Reorder the DataFrame columns\n",
+    "input = input[new_order]\n",
+    "input"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c802c5fa-235c-46f5-a245-4ad2262de572",
+   "metadata": {},
+   "source": [
+    "# Data for Cement hydration"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "bd34754f-56c2-4a37-a647-cbc92193751c",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'# create cement recipes using Sobol sequences\\n\\nn_sample = 10 #number of sample is 2^n_sample #here 1024\\ntest_n_sample = 6\\ncook_book = {} #possible parameters for the cement recipe\\n\\nclinker_phases = {}\\nclinker_phases[\"C3S\"]=64.6 #alite\\nclinker_phases[\"C2S\"]=9.3 #belite\\nclinker_phases[\"C3A\"]=7.4 #tricalcium aluminate\\nclinker_phases[\"C4AF\"]=7.8 #calcium aluminofernite\\nclinker_phases[\\'bounds\\'] = {\"C3S\":(45,80), \"C2S\": (10,32), \"C3A\":(0,14), \"C4AF\":(0,15)} #bounds from Ullmann\\'s Encyclopedia of Industrial Chemistry\\n\\n#add clinkers to the cook book\\ncook_book[\\'clink_phase\\'] = clinker_phases\\n\\n# add materials and properties to the cook book\\nadd_new_material(cook_book, \\'RH\\', 1)# relative humidity\\nadd_new_material(cook_book, \\'T\\', 25)# temperature\\nadd_new_material(cook_book,\\'fineness\\', 385)\\nadd_new_material(cook_book,\\'wc\\', 0.5, (0.3,0.7))# bounds given by Dr. Dmitrii Kulik from PSI\\nadd_new_material(cook_book,\\'CSH2\\', 4, (4.0,4.0))# OPC has 2-3% gypsum\\nadd_new_material(cook_book,\\'limestone\\', 1.0, (0,20))#https://ecra-online.org/newsletters/high-limestone-content-in-cement-an-important-step-towards-decarbonisation/#:~:text=The%20content%20of%20limestone%20has,the%20clinker%20content%20of%20cement.\\nadd_new_material(cook_book,\\'silica_fume\\', 1.0, (0,10))# https://microsilica-fume.com/much-silica-fume-add-concrete.html#:~:text=the%20content%20of%20micro%20silica,to%2010%25%20of%20cementitious%20material. #https://www.researchgate.net/publication/327671198_Effect_of_Replacement_of_Cement_by_Different_Percentages_of_Silica_Fume\\nadd_new_material(cook_book,\\'GGBFS\\', 1.0, (0,35)) # between 20 and 80% for concrete https://link.springer.com/chapter/10.1007/978-3-319-70606-1_1\\nadd_new_material(cook_book,\\'fly_ash\\', 1.0, (0,35)) # between 15 to 30 % https://www.fhwa.dot.gov/pavement/recycling/fach03.cfm#:~:text=Typically%2C%2015%20percent%20to%2030,%3A1%20to%201.5%3A1.\\nadd_new_material(cook_book,\\'calcined_clay\\', 1.0, (0,35)) # https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7660299/\\n\\n# if one wants to add unknown materials to the cook_book, please enter the recipe in the SCM dictionnary in final_hydration.py \\n\\n#create recipe from the cook book\\n#train_input = pd.DataFrame(create_sobol_sequence(cook_book, n_sample))\\n\\n\\nnormalized_samples = create_lhs_samples(cook_book, 11)\\n#train_input = pd.DataFrame(create_lhs_samples(cook_book, 1000))\\n#set the output materials of hydration\\n# this one is very limited, could be extended in future work to have all the details for elastic moduli\\n\\nbounds = {\\n    \\'C3S\\': (45, 80),\\n    \\'C2S\\': (10, 32),\\n    \\'C3A\\': (0, 14),\\n    \\'C4AF\\': (0, 15),\\n    \\'wc\\': (0.3, 0.7)\\n}\\n'"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "'''# create cement recipes using Sobol sequences\n",
+    "\n",
+    "n_sample = 10 #number of sample is 2^n_sample #here 1024\n",
+    "test_n_sample = 6\n",
+    "cook_book = {} #possible parameters for the cement recipe\n",
+    "\n",
+    "clinker_phases = {}\n",
+    "clinker_phases[\"C3S\"]=64.6 #alite\n",
+    "clinker_phases[\"C2S\"]=9.3 #belite\n",
+    "clinker_phases[\"C3A\"]=7.4 #tricalcium aluminate\n",
+    "clinker_phases[\"C4AF\"]=7.8 #calcium aluminofernite\n",
+    "clinker_phases['bounds'] = {\"C3S\":(45,80), \"C2S\": (10,32), \"C3A\":(0,14), \"C4AF\":(0,15)} #bounds from Ullmann's Encyclopedia of Industrial Chemistry\n",
+    "\n",
+    "#add clinkers to the cook book\n",
+    "cook_book['clink_phase'] = clinker_phases\n",
+    "\n",
+    "# add materials and properties to the cook book\n",
+    "add_new_material(cook_book, 'RH', 1)# relative humidity\n",
+    "add_new_material(cook_book, 'T', 25)# temperature\n",
+    "add_new_material(cook_book,'fineness', 385)\n",
+    "add_new_material(cook_book,'wc', 0.5, (0.3,0.7))# bounds given by Dr. Dmitrii Kulik from PSI\n",
+    "add_new_material(cook_book,'CSH2', 4, (4.0,4.0))# OPC has 2-3% gypsum\n",
+    "add_new_material(cook_book,'limestone', 1.0, (0,20))#https://ecra-online.org/newsletters/high-limestone-content-in-cement-an-important-step-towards-decarbonisation/#:~:text=The%20content%20of%20limestone%20has,the%20clinker%20content%20of%20cement.\n",
+    "add_new_material(cook_book,'silica_fume', 1.0, (0,10))# https://microsilica-fume.com/much-silica-fume-add-concrete.html#:~:text=the%20content%20of%20micro%20silica,to%2010%25%20of%20cementitious%20material. #https://www.researchgate.net/publication/327671198_Effect_of_Replacement_of_Cement_by_Different_Percentages_of_Silica_Fume\n",
+    "add_new_material(cook_book,'GGBFS', 1.0, (0,35)) # between 20 and 80% for concrete https://link.springer.com/chapter/10.1007/978-3-319-70606-1_1\n",
+    "add_new_material(cook_book,'fly_ash', 1.0, (0,35)) # between 15 to 30 % https://www.fhwa.dot.gov/pavement/recycling/fach03.cfm#:~:text=Typically%2C%2015%20percent%20to%2030,%3A1%20to%201.5%3A1.\n",
+    "add_new_material(cook_book,'calcined_clay', 1.0, (0,35)) # https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7660299/\n",
+    "\n",
+    "# if one wants to add unknown materials to the cook_book, please enter the recipe in the SCM dictionnary in final_hydration.py \n",
+    "\n",
+    "#create recipe from the cook book\n",
+    "#train_input = pd.DataFrame(create_sobol_sequence(cook_book, n_sample))\n",
+    "\n",
+    "\n",
+    "normalized_samples = create_lhs_samples(cook_book, 11)\n",
+    "#train_input = pd.DataFrame(create_lhs_samples(cook_book, 1000))\n",
+    "#set the output materials of hydration\n",
+    "# this one is very limited, could be extended in future work to have all the details for elastic moduli\n",
+    "\n",
+    "bounds = {\n",
+    "    'C3S': (45, 80),\n",
+    "    'C2S': (10, 32),\n",
+    "    'C3A': (0, 14),\n",
+    "    'C4AF': (0, 15),\n",
+    "    'wc': (0.3, 0.7)\n",
+    "}\n",
+    "'''\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "ec1f8fea-dc4b-4696-a41f-9be89fa7b8b4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Hydration using GEMS\n",
+    "to_drop, train_output,pd_vol_frac = complete_hydration_from_data(input, output_materials, False)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "75aff2a3-a7b4-4851-93a8-66f3b05f3424",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'0': aq_gen             4.222192e-01\n",
+       " gas_gen            3.492125e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.068892e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
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+       " gas_gen            3.436806e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.447659e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
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+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.648042e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
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+       " '3': aq_gen             3.498352e-01\n",
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+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.235669e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
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+       " gas_gen            3.996415e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.664182e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
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+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '6': aq_gen             4.108540e-01\n",
+       " gas_gen            4.027238e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.613767e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '7': aq_gen             4.875781e-01\n",
+       " gas_gen            2.932217e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.796330e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '8': aq_gen             3.938064e-01\n",
+       " gas_gen            3.477616e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.942686e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '9': aq_gen             4.655366e-01\n",
+       " gas_gen            2.980085e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.384627e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '10': aq_gen             4.640092e-01\n",
+       " gas_gen            4.533833e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '11': aq_gen             4.863178e-01\n",
+       " gas_gen            3.351425e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.213949e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '12': aq_gen             3.073878e-01\n",
+       " gas_gen            3.800748e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.384454e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '13': aq_gen             1.903038e-01\n",
+       " gas_gen            5.454850e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               4.433653e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '14': aq_gen             3.618285e-01\n",
+       " gas_gen            4.768719e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.703255e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '15': aq_gen             3.336744e-01\n",
+       " gas_gen            4.221801e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.791286e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '16': aq_gen             3.740495e-01\n",
+       " gas_gen            3.538676e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.174237e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '17': aq_gen             3.518269e-01\n",
+       " gas_gen            4.286515e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               4.120605e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '18': aq_gen             3.354068e-01\n",
+       " gas_gen            5.327405e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '19': aq_gen             4.296113e-01\n",
+       " gas_gen            3.529976e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.498359e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '20': aq_gen             2.851051e-01\n",
+       " gas_gen            4.719961e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.662386e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '21': aq_gen             4.086839e-01\n",
+       " gas_gen            2.871022e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.460613e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '22': aq_gen             3.607121e-01\n",
+       " gas_gen            3.387596e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.006287e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '23': aq_gen             3.085235e-01\n",
+       " gas_gen            5.290553e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               6.375265e-04\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '24': aq_gen             3.474011e-01\n",
+       " gas_gen            3.774013e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.172555e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '25': aq_gen             4.181267e-01\n",
+       " gas_gen            4.529349e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '27': aq_gen             3.144213e-01\n",
+       " gas_gen            4.494742e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.889244e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '28': aq_gen             4.014186e-01\n",
+       " gas_gen            2.968830e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.330658e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '29': aq_gen             5.046155e-01\n",
+       " gas_gen            3.640467e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.495516e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '30': aq_gen             2.928231e-01\n",
+       " gas_gen            3.901019e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.715421e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '31': aq_gen             3.631774e-01\n",
+       " gas_gen            3.833502e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.763876e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '32': aq_gen             3.676943e-01\n",
+       " gas_gen            3.685299e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.288472e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '33': aq_gen             3.769617e-01\n",
+       " gas_gen            3.946626e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.202725e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '34': aq_gen             2.916351e-01\n",
+       " gas_gen            4.534151e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.392712e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '35': aq_gen             2.674378e-01\n",
+       " gas_gen            4.756399e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.295622e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '36': aq_gen             3.766148e-01\n",
+       " gas_gen            4.172086e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.167535e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '37': aq_gen             3.244780e-01\n",
+       " gas_gen            4.503435e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.102006e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '38': aq_gen             4.518196e-01\n",
+       " gas_gen            4.450931e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.807241e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '39': aq_gen             4.302370e-01\n",
+       " gas_gen            3.561287e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.897469e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '40': aq_gen             3.429135e-01\n",
+       " gas_gen            4.209676e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.872807e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '41': aq_gen             4.835272e-01\n",
+       " gas_gen            3.759469e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '42': aq_gen             3.580544e-01\n",
+       " gas_gen            3.656577e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.330357e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '43': aq_gen             3.870227e-01\n",
+       " gas_gen            4.406854e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.899630e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '44': aq_gen             2.490800e-01\n",
+       " gas_gen            4.938709e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.904174e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '45': aq_gen             5.145704e-01\n",
+       " gas_gen            3.381284e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.340122e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '46': aq_gen             3.553574e-01\n",
+       " gas_gen            3.957739e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.577824e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '47': aq_gen             3.716885e-01\n",
+       " gas_gen            3.762808e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.546797e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '48': aq_gen             3.949447e-01\n",
+       " gas_gen            4.057453e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.737464e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '49': aq_gen             4.579376e-01\n",
+       " gas_gen            3.365377e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '50': aq_gen             3.166136e-01\n",
+       " gas_gen            5.010358e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.584858e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '52': aq_gen             4.538586e-01\n",
+       " gas_gen            3.714645e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.756866e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '53': aq_gen             3.772799e-01\n",
+       " gas_gen            3.406085e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.979620e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '54': aq_gen             1.420681e-01\n",
+       " gas_gen            6.470533e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.231881e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '55': aq_gen             4.050583e-01\n",
+       " gas_gen            4.776185e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.811137e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '56': aq_gen             1.471063e-01\n",
+       " gas_gen            6.342994e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               5.141435e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '57': aq_gen             4.074963e-01\n",
+       " gas_gen            3.145630e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.539422e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '58': aq_gen             3.968745e-01\n",
+       " gas_gen            5.261213e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '59': aq_gen             3.712608e-01\n",
+       " gas_gen            3.525604e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.490631e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '60': aq_gen             4.021133e-01\n",
+       " gas_gen            3.292039e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.070231e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '61': aq_gen             3.115451e-01\n",
+       " gas_gen            3.596880e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.455285e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '62': aq_gen             4.339592e-01\n",
+       " gas_gen            3.261004e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.994094e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '63': aq_gen             2.461079e-01\n",
+       " gas_gen            5.322521e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.553860e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '65': aq_gen             4.832542e-01\n",
+       " gas_gen            2.962983e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.132426e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '67': aq_gen             3.736353e-01\n",
+       " gas_gen            3.031739e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.649592e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '68': aq_gen             4.414273e-01\n",
+       " gas_gen            3.011415e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.141880e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '69': aq_gen             4.541082e-01\n",
+       " gas_gen            3.522179e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.712639e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '70': aq_gen             3.081951e-01\n",
+       " gas_gen            4.439461e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.514799e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '72': aq_gen             2.891686e-01\n",
+       " gas_gen            5.111616e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.661767e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '73': aq_gen             3.502724e-01\n",
+       " gas_gen            4.205493e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.397957e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '74': aq_gen             3.962579e-01\n",
+       " gas_gen            3.000262e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.558192e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '75': aq_gen             3.664983e-01\n",
+       " gas_gen            3.356288e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.970764e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '76': aq_gen             4.050937e-01\n",
+       " gas_gen            2.967994e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.758687e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '77': aq_gen             4.061476e-01\n",
+       " gas_gen            3.458526e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               6.628116e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '78': aq_gen             3.558200e-01\n",
+       " gas_gen            4.306238e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.059760e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '79': aq_gen             3.510528e-01\n",
+       " gas_gen            4.649450e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '80': aq_gen             4.061519e-01\n",
+       " gas_gen            3.900141e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.442639e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '81': aq_gen             3.958111e-01\n",
+       " gas_gen            3.885105e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '83': aq_gen             3.602836e-01\n",
+       " gas_gen            3.517415e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.392990e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '84': aq_gen             3.416022e-01\n",
+       " gas_gen            4.014635e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               9.677569e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '85': aq_gen             3.725906e-01\n",
+       " gas_gen            4.329546e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '86': aq_gen             3.318226e-01\n",
+       " gas_gen            4.479851e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.540632e-03\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '87': aq_gen             2.429678e-01\n",
+       " gas_gen            5.789914e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.962903e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '88': aq_gen             2.219065e-01\n",
+       " gas_gen            5.752571e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               4.186621e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '89': aq_gen             4.246809e-01\n",
+       " gas_gen            4.463762e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.302964e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '90': aq_gen             3.617758e-01\n",
+       " gas_gen            4.077736e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.249866e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '91': aq_gen             3.539830e-01\n",
+       " gas_gen            4.096089e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.599401e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '92': aq_gen             4.209158e-01\n",
+       " gas_gen            2.994418e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.831904e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '93': aq_gen             4.551141e-01\n",
+       " gas_gen            3.869320e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.520555e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '94': aq_gen             3.551995e-01\n",
+       " gas_gen            5.157701e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '95': aq_gen             4.692601e-01\n",
+       " gas_gen            3.491352e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.406974e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '96': aq_gen             2.844639e-01\n",
+       " gas_gen            4.788993e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.056999e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '97': aq_gen             3.837592e-01\n",
+       " gas_gen            4.054820e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.854372e-03\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '98': aq_gen             3.365860e-01\n",
+       " gas_gen            4.359867e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.772695e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '99': aq_gen             2.804889e-01\n",
+       " gas_gen            4.744565e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.458544e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '100': aq_gen             4.562852e-01\n",
+       " gas_gen            4.189368e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.281749e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '101': aq_gen             2.630907e-01\n",
+       " gas_gen            4.737198e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.091048e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '102': aq_gen             4.196689e-01\n",
+       " gas_gen            3.466309e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               4.925695e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '103': aq_gen             4.027003e-01\n",
+       " gas_gen            3.444988e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '104': aq_gen             4.073299e-01\n",
+       " gas_gen            3.656085e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '105': aq_gen             3.050923e-01\n",
+       " gas_gen            4.557826e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.990472e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '106': aq_gen             4.963761e-01\n",
+       " gas_gen            3.093878e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.518069e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '107': aq_gen             3.462218e-01\n",
+       " gas_gen            3.940021e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.861615e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '108': aq_gen             3.102937e-01\n",
+       " gas_gen            4.101592e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.903029e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '109': aq_gen             2.891052e-01\n",
+       " gas_gen            4.744602e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.702533e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '110': aq_gen             4.057973e-01\n",
+       " gas_gen            3.355025e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.198524e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '111': aq_gen             4.306196e-01\n",
+       " gas_gen            3.701107e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.711679e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '112': aq_gen             3.376520e-01\n",
+       " gas_gen            3.800480e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.287328e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '113': aq_gen             3.531942e-01\n",
+       " gas_gen            3.068688e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.933178e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '114': aq_gen             3.862471e-01\n",
+       " gas_gen            4.048656e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '115': aq_gen             4.452129e-01\n",
+       " gas_gen            2.914792e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.021146e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '116': aq_gen             9.809404e-02\n",
+       " gas_gen            7.360183e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               5.498804e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '117': aq_gen             3.138771e-01\n",
+       " gas_gen            4.529146e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.406837e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '118': aq_gen             3.039675e-01\n",
+       " gas_gen            5.599412e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.116861e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '119': aq_gen             3.484685e-01\n",
+       " gas_gen            5.038288e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '120': aq_gen             4.321446e-01\n",
+       " gas_gen            2.834205e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.314415e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '121': aq_gen             4.036962e-01\n",
+       " gas_gen            5.024018e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.365091e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '122': aq_gen             3.512295e-01\n",
+       " gas_gen            4.452401e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.059390e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '123': aq_gen             2.697191e-01\n",
+       " gas_gen            5.132796e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.918489e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '124': aq_gen             3.965294e-01\n",
+       " gas_gen            3.461551e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.526940e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '125': aq_gen             2.552916e-01\n",
+       " gas_gen            4.932811e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.295388e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '126': aq_gen             4.580618e-01\n",
+       " gas_gen            4.124300e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.554832e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '127': aq_gen             3.541726e-01\n",
+       " gas_gen            4.081337e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.551022e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '128': aq_gen             3.603770e-01\n",
+       " gas_gen            3.867152e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.530066e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '129': aq_gen             4.161727e-01\n",
+       " gas_gen            4.114189e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.015579e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '131': aq_gen             4.858813e-01\n",
+       " gas_gen            3.164599e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.925798e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '132': aq_gen             3.423593e-01\n",
+       " gas_gen            4.387350e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.553787e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '133': aq_gen             3.928585e-01\n",
+       " gas_gen            3.632960e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.417826e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '134': aq_gen             4.041666e-01\n",
+       " gas_gen            3.579652e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.988106e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '135': aq_gen             2.629375e-01\n",
+       " gas_gen            4.926990e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.957507e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '136': aq_gen             3.617860e-01\n",
+       " gas_gen            4.601438e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.844482e-03\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '137': aq_gen             4.224746e-01\n",
+       " gas_gen            3.299930e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '138': aq_gen             3.472349e-01\n",
+       " gas_gen            4.367579e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.347546e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '139': aq_gen             3.296078e-01\n",
+       " gas_gen            4.955158e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               4.289954e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '140': aq_gen             3.062484e-01\n",
+       " gas_gen            4.428966e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.564909e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '141': aq_gen             3.422010e-01\n",
+       " gas_gen            3.834961e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.971663e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '143': aq_gen             4.889426e-01\n",
+       " gas_gen            2.946086e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.276488e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '144': aq_gen             4.451535e-01\n",
+       " gas_gen            2.577383e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.505030e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '145': aq_gen             4.340746e-01\n",
+       " gas_gen            2.943943e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.306825e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '146': aq_gen             4.156548e-01\n",
+       " gas_gen            3.126752e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.345041e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '147': aq_gen             3.952404e-01\n",
+       " gas_gen            3.375582e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.743681e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '148': aq_gen             4.668883e-01\n",
+       " gas_gen            3.525274e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.425448e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '149': aq_gen             3.920946e-01\n",
+       " gas_gen            2.826965e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.441826e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '150': aq_gen             3.745052e-01\n",
+       " gas_gen            3.708038e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.003882e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '151': aq_gen             3.461467e-01\n",
+       " gas_gen            4.991068e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.614557e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '152': aq_gen             4.348923e-01\n",
+       " gas_gen            3.438439e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.963167e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '153': aq_gen             3.201194e-01\n",
+       " gas_gen            4.236231e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.952858e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '154': aq_gen             4.176448e-01\n",
+       " gas_gen            4.869776e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '156': aq_gen             4.118592e-01\n",
+       " gas_gen            5.110364e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '157': aq_gen             3.552435e-01\n",
+       " gas_gen            4.206370e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.488432e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '158': aq_gen             4.188816e-01\n",
+       " gas_gen            2.787259e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.348019e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '159': aq_gen             3.766661e-01\n",
+       " gas_gen            4.037009e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.079832e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '160': aq_gen             4.696568e-01\n",
+       " gas_gen            4.034248e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.738183e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '161': aq_gen             3.605231e-01\n",
+       " gas_gen            3.895286e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               6.756171e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '162': aq_gen             3.131102e-01\n",
+       " gas_gen            4.491103e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.829880e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '163': aq_gen             3.020393e-01\n",
+       " gas_gen            4.855941e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.986878e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '164': aq_gen             3.640732e-01\n",
+       " gas_gen            3.857034e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.464893e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '165': aq_gen             1.510907e-01\n",
+       " gas_gen            6.516436e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.916064e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '166': aq_gen             3.926151e-01\n",
+       " gas_gen            4.178599e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.473612e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '167': aq_gen             4.829721e-01\n",
+       " gas_gen            3.413573e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.577938e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '168': aq_gen             4.015184e-01\n",
+       " gas_gen            3.473448e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.084477e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '169': aq_gen             2.578393e-01\n",
+       " gas_gen            5.000266e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.613830e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '170': aq_gen             3.647210e-01\n",
+       " gas_gen            3.982730e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.364414e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '171': aq_gen             3.741569e-01\n",
+       " gas_gen            3.397587e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.582744e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '172': aq_gen             2.892437e-01\n",
+       " gas_gen            4.324521e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.365850e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '173': aq_gen             4.294055e-01\n",
+       " gas_gen            3.075806e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.012655e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '174': aq_gen             3.901992e-01\n",
+       " gas_gen            3.920231e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.294568e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '175': aq_gen             3.728243e-01\n",
+       " gas_gen            3.956833e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.850935e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '176': aq_gen             3.597411e-01\n",
+       " gas_gen            3.394950e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.226413e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '177': aq_gen             4.408585e-01\n",
+       " gas_gen            3.606117e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.118622e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '178': aq_gen             5.145137e-01\n",
+       " gas_gen            3.520572e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.167540e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '179': aq_gen             3.391537e-01\n",
+       " gas_gen            5.027234e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '180': aq_gen             3.336438e-01\n",
+       " gas_gen            4.595778e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.409153e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '181': aq_gen             3.885042e-01\n",
+       " gas_gen            3.561429e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.708706e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '182': aq_gen             3.906212e-01\n",
+       " gas_gen            4.589921e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '183': aq_gen             4.536286e-01\n",
+       " gas_gen            3.976239e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.551634e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '185': aq_gen             3.686971e-01\n",
+       " gas_gen            3.771431e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.751945e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '186': aq_gen             4.634071e-01\n",
+       " gas_gen            3.777280e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '187': aq_gen             3.453454e-01\n",
+       " gas_gen            4.284147e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               9.341497e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '188': aq_gen             4.319875e-01\n",
+       " gas_gen            2.929244e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               5.217558e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '189': aq_gen             4.761372e-01\n",
+       " gas_gen            2.770262e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.995523e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '190': aq_gen             5.194529e-01\n",
+       " gas_gen            4.329045e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '191': aq_gen             3.975354e-01\n",
+       " gas_gen            4.177351e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.915826e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '192': aq_gen             3.288717e-01\n",
+       " gas_gen            3.981337e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.330056e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '193': aq_gen             3.766505e-01\n",
+       " gas_gen            3.544844e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               8.150816e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '194': aq_gen             4.859454e-01\n",
+       " gas_gen            3.577825e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.687124e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '196': aq_gen             3.975488e-01\n",
+       " gas_gen            3.477097e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.577048e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '197': aq_gen             3.626846e-01\n",
+       " gas_gen            4.198755e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.906390e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '199': aq_gen             4.290229e-01\n",
+       " gas_gen            3.593115e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.261447e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '200': aq_gen             2.050418e-01\n",
+       " gas_gen            5.514746e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.656171e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '201': aq_gen             3.749003e-01\n",
+       " gas_gen            3.221916e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.419491e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '202': aq_gen             5.145598e-01\n",
+       " gas_gen            3.948520e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.195564e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '203': aq_gen             3.639805e-01\n",
+       " gas_gen            3.669761e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.277383e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '204': aq_gen             2.512628e-01\n",
+       " gas_gen            5.818050e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.892059e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '205': aq_gen             3.818037e-01\n",
+       " gas_gen            4.000324e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               5.744834e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '206': aq_gen             4.259938e-01\n",
+       " gas_gen            3.743664e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.778072e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '207': aq_gen             4.405685e-01\n",
+       " gas_gen            3.429291e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.726761e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '208': aq_gen             4.102702e-01\n",
+       " gas_gen            3.319708e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.062773e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '209': aq_gen             2.964095e-01\n",
+       " gas_gen            5.457936e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '210': aq_gen             2.808774e-01\n",
+       " gas_gen            5.085826e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.872070e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '211': aq_gen             4.720534e-01\n",
+       " gas_gen            3.587500e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.405939e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '212': aq_gen             4.491508e-01\n",
+       " gas_gen            2.641876e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.977743e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '213': aq_gen             4.402167e-01\n",
+       " gas_gen            3.490051e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.198135e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '214': aq_gen             4.993317e-01\n",
+       " gas_gen            3.129808e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.920653e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '215': aq_gen             3.060249e-01\n",
+       " gas_gen            4.052351e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.750797e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '216': aq_gen             3.871201e-01\n",
+       " gas_gen            3.804118e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               9.132734e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '217': aq_gen             4.190750e-01\n",
+       " gas_gen            3.612263e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '218': aq_gen             3.685446e-01\n",
+       " gas_gen            4.566749e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.750327e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '219': aq_gen             4.145666e-01\n",
+       " gas_gen            3.687798e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.727796e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '220': aq_gen             4.434325e-01\n",
+       " gas_gen            3.452287e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.597015e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '221': aq_gen             3.738736e-01\n",
+       " gas_gen            4.017521e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.952723e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '222': aq_gen             3.665795e-01\n",
+       " gas_gen            4.115551e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.335555e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '223': aq_gen             3.364573e-01\n",
+       " gas_gen            4.456708e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.428331e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '224': aq_gen             4.305801e-01\n",
+       " gas_gen            3.019151e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.048442e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '225': aq_gen             5.065786e-01\n",
+       " gas_gen            3.405822e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.055142e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '226': aq_gen             3.477426e-01\n",
+       " gas_gen            3.874769e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.814391e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '227': aq_gen             4.256508e-01\n",
+       " gas_gen            3.369006e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '228': aq_gen             4.341398e-01\n",
+       " gas_gen            3.647365e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '229': aq_gen             3.956442e-01\n",
+       " gas_gen            3.584853e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.319204e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '230': aq_gen             4.443330e-01\n",
+       " gas_gen            4.064424e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '231': aq_gen             4.636281e-01\n",
+       " gas_gen            3.171686e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.294405e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '232': aq_gen             3.615742e-01\n",
+       " gas_gen            3.519229e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.036710e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '233': aq_gen             3.591915e-01\n",
+       " gas_gen            3.505930e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.689509e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '234': aq_gen             3.687584e-01\n",
+       " gas_gen            3.802619e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.448827e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '235': aq_gen             4.005483e-01\n",
+       " gas_gen            3.762590e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '236': aq_gen             4.308159e-01\n",
+       " gas_gen            2.710451e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.790573e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '237': aq_gen             3.628984e-01\n",
+       " gas_gen            4.140761e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               8.602563e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '238': aq_gen             3.911958e-01\n",
+       " gas_gen            3.167929e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.853843e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '239': aq_gen             3.533018e-01\n",
+       " gas_gen            4.036575e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.512589e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '240': aq_gen             2.356460e-01\n",
+       " gas_gen            5.045792e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.510322e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '241': aq_gen             3.366340e-01\n",
+       " gas_gen            3.968889e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.809293e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '242': aq_gen             3.967104e-01\n",
+       " gas_gen            4.169986e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '243': aq_gen             4.784281e-01\n",
+       " gas_gen            2.669927e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.197198e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '244': aq_gen             3.699865e-01\n",
+       " gas_gen            4.660433e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '245': aq_gen             3.470428e-01\n",
+       " gas_gen            3.560734e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.882933e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '246': aq_gen             4.757973e-01\n",
+       " gas_gen            3.523264e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.390288e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '247': aq_gen             3.900775e-01\n",
+       " gas_gen            3.764228e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.297144e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '248': aq_gen             3.695221e-01\n",
+       " gas_gen            3.610620e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.166873e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '249': aq_gen             3.898134e-01\n",
+       " gas_gen            3.221633e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.637770e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '250': aq_gen             4.400244e-01\n",
+       " gas_gen            3.296652e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.096427e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '251': aq_gen             3.476459e-01\n",
+       " gas_gen            3.742083e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.505957e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '252': aq_gen             3.563135e-01\n",
+       " gas_gen            5.078589e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '253': aq_gen             4.416819e-01\n",
+       " gas_gen            2.702393e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.301142e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '254': aq_gen             4.016261e-01\n",
+       " gas_gen            3.249900e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.102199e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '255': aq_gen             2.806038e-01\n",
+       " gas_gen            4.443772e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.196812e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '256': aq_gen             3.538112e-01\n",
+       " gas_gen            5.109967e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '257': aq_gen             4.421136e-01\n",
+       " gas_gen            4.297371e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '258': aq_gen             3.902420e-01\n",
+       " gas_gen            3.421840e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.329388e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '259': aq_gen             3.934049e-01\n",
+       " gas_gen            4.343437e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '260': aq_gen             3.625675e-01\n",
+       " gas_gen            4.842182e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '261': aq_gen             4.343502e-01\n",
+       " gas_gen            2.897452e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.396022e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '263': aq_gen             3.571776e-01\n",
+       " gas_gen            3.820909e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.403340e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '264': aq_gen             2.112566e-01\n",
+       " gas_gen            5.722878e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.218527e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '265': aq_gen             4.486492e-01\n",
+       " gas_gen            4.296702e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '266': aq_gen             3.635068e-01\n",
+       " gas_gen            3.895201e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.316528e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '267': aq_gen             3.648650e-01\n",
+       " gas_gen            3.611734e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.700280e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '268': aq_gen             3.531507e-01\n",
+       " gas_gen            5.035749e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '269': aq_gen             3.826900e-01\n",
+       " gas_gen            3.022380e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.930020e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '270': aq_gen             3.869106e-01\n",
+       " gas_gen            3.183283e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.398723e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '271': aq_gen             3.710318e-01\n",
+       " gas_gen            4.172379e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               6.362347e-03\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '272': aq_gen             3.824493e-01\n",
+       " gas_gen            3.443697e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.137529e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '273': aq_gen             3.962587e-01\n",
+       " gas_gen            2.946260e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.609421e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '274': aq_gen             4.393588e-01\n",
+       " gas_gen            3.650962e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.968741e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '275': aq_gen             3.807967e-01\n",
+       " gas_gen            3.450391e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.079472e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '276': aq_gen             4.035605e-01\n",
+       " gas_gen            3.025505e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.516379e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '277': aq_gen             3.294482e-01\n",
+       " gas_gen            4.655709e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.280424e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '278': aq_gen             3.290413e-01\n",
+       " gas_gen            3.886071e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.094284e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '279': aq_gen             9.494785e-02\n",
+       " gas_gen            7.000973e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               5.078553e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '280': aq_gen             3.540461e-01\n",
+       " gas_gen            3.553735e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.199097e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '281': aq_gen             4.147699e-01\n",
+       " gas_gen            2.895230e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.439367e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '282': aq_gen             4.303581e-01\n",
+       " gas_gen            3.117951e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.424999e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '283': aq_gen             2.948870e-01\n",
+       " gas_gen            5.070623e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.721535e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '284': aq_gen             2.532433e-01\n",
+       " gas_gen            4.879251e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.542742e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '285': aq_gen             4.246943e-01\n",
+       " gas_gen            3.714160e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.825957e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '286': aq_gen             4.262105e-01\n",
+       " gas_gen            3.560433e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.454301e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '287': aq_gen             3.477075e-01\n",
+       " gas_gen            3.998207e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.989774e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '288': aq_gen             3.808699e-01\n",
+       " gas_gen            3.977604e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.877702e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '289': aq_gen             3.887485e-01\n",
+       " gas_gen            3.844773e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.446833e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '290': aq_gen             4.053617e-01\n",
+       " gas_gen            3.870995e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.707206e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '291': aq_gen             2.752795e-01\n",
+       " gas_gen            5.723894e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.088501e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '292': aq_gen             4.469148e-01\n",
+       " gas_gen            2.866355e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.224294e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '294': aq_gen             4.051057e-01\n",
+       " gas_gen            3.269935e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.543554e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '295': aq_gen             2.486783e-01\n",
+       " gas_gen            5.166801e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.708560e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '296': aq_gen             2.262419e-01\n",
+       " gas_gen            6.440042e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.414532e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '297': aq_gen             3.245236e-01\n",
+       " gas_gen            4.106692e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.087253e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '298': aq_gen             4.638175e-01\n",
+       " gas_gen            3.616078e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.084408e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '299': aq_gen             4.105050e-01\n",
+       " gas_gen            3.451818e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               4.893426e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '300': aq_gen             3.875608e-01\n",
+       " gas_gen            4.511296e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.830533e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '301': aq_gen             4.617782e-01\n",
+       " gas_gen            3.794980e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.347772e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '302': aq_gen             2.773618e-01\n",
+       " gas_gen            4.696072e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.281756e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '303': aq_gen             3.932755e-01\n",
+       " gas_gen            3.330137e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.078267e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '304': aq_gen             3.784262e-01\n",
+       " gas_gen            4.598796e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.374840e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '305': aq_gen             3.219549e-01\n",
+       " gas_gen            4.623097e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.535660e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '306': aq_gen             4.152454e-01\n",
+       " gas_gen            4.329533e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.670583e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '307': aq_gen             2.925857e-01\n",
+       " gas_gen            5.384604e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.587663e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '308': aq_gen             4.074255e-01\n",
+       " gas_gen            3.057592e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.474607e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '309': aq_gen             4.037488e-01\n",
+       " gas_gen            4.290397e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.397113e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '310': aq_gen             3.902242e-01\n",
+       " gas_gen            3.088220e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.701995e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '311': aq_gen             3.596560e-01\n",
+       " gas_gen            3.494051e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.312444e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '312': aq_gen             3.046151e-01\n",
+       " gas_gen            4.747706e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.927497e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '313': aq_gen             2.560629e-01\n",
+       " gas_gen            5.010966e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.922614e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '314': aq_gen             3.267087e-01\n",
+       " gas_gen            4.248185e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.063309e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '315': aq_gen             5.030029e-01\n",
+       " gas_gen            3.016016e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.061706e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '316': aq_gen             4.284511e-01\n",
+       " gas_gen            3.782860e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.454847e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '318': aq_gen             3.967449e-01\n",
+       " gas_gen            3.555933e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.819997e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '319': aq_gen             3.536780e-01\n",
+       " gas_gen            3.733565e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.121423e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '320': aq_gen             3.487107e-01\n",
+       " gas_gen            4.495210e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               7.054981e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '321': aq_gen             3.520347e-01\n",
+       " gas_gen            4.725880e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '322': aq_gen             3.644454e-01\n",
+       " gas_gen            4.739600e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.650337e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '323': aq_gen             3.446073e-01\n",
+       " gas_gen            3.676034e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.289152e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '324': aq_gen             4.303640e-01\n",
+       " gas_gen            3.806785e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.482336e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '325': aq_gen             3.526129e-01\n",
+       " gas_gen            3.762612e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.106602e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '328': aq_gen             4.375726e-01\n",
+       " gas_gen            2.920419e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.290090e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '329': aq_gen             4.900194e-01\n",
+       " gas_gen            3.650694e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.055423e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '330': aq_gen             3.463122e-01\n",
+       " gas_gen            4.758203e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.349755e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '331': aq_gen             4.340625e-01\n",
+       " gas_gen            3.384292e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '332': aq_gen             2.720050e-01\n",
+       " gas_gen            4.811452e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.175104e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '333': aq_gen             4.078203e-01\n",
+       " gas_gen            3.487563e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.448654e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '335': aq_gen             3.270767e-01\n",
+       " gas_gen            5.552451e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '336': aq_gen             3.942323e-01\n",
+       " gas_gen            3.143773e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.592412e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '337': aq_gen             3.694224e-01\n",
+       " gas_gen            4.617915e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '338': aq_gen             3.181791e-01\n",
+       " gas_gen            4.831318e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.065030e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '340': aq_gen             4.078979e-01\n",
+       " gas_gen            3.054680e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.245012e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '341': aq_gen             3.468075e-01\n",
+       " gas_gen            4.706391e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               8.846167e-05\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '342': aq_gen             3.648547e-01\n",
+       " gas_gen            3.749282e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.066730e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '343': aq_gen             4.720273e-01\n",
+       " gas_gen            3.095594e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.283508e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '344': aq_gen             2.780156e-01\n",
+       " gas_gen            4.783803e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.516478e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '345': aq_gen             3.624213e-01\n",
+       " gas_gen            3.873625e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.632113e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '346': aq_gen             3.773672e-01\n",
+       " gas_gen            3.120521e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.381602e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '347': aq_gen             3.763001e-01\n",
+       " gas_gen            3.935569e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.570939e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '348': aq_gen             2.371589e-01\n",
+       " gas_gen            5.404953e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.662008e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '349': aq_gen             4.035787e-01\n",
+       " gas_gen            4.125545e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '350': aq_gen             3.678215e-01\n",
+       " gas_gen            3.352752e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.871966e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '351': aq_gen             4.589575e-01\n",
+       " gas_gen            4.003600e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '352': aq_gen             3.556968e-01\n",
+       " gas_gen            3.758947e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.375364e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '353': aq_gen             4.402456e-01\n",
+       " gas_gen            3.344163e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.348599e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '354': aq_gen             4.134057e-01\n",
+       " gas_gen            4.548153e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '355': aq_gen             2.891532e-01\n",
+       " gas_gen            5.101740e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.108636e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '356': aq_gen             3.722151e-01\n",
+       " gas_gen            4.068022e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.033951e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '357': aq_gen             4.217367e-01\n",
+       " gas_gen            3.386763e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '358': aq_gen             2.086004e-01\n",
+       " gas_gen            5.493601e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               4.498223e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '359': aq_gen             3.520082e-01\n",
+       " gas_gen            4.720255e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.886523e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '360': aq_gen             3.849434e-01\n",
+       " gas_gen            3.020475e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.655270e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '361': aq_gen             3.675354e-01\n",
+       " gas_gen            3.204353e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.107472e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '362': aq_gen             4.973988e-01\n",
+       " gas_gen            3.502477e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.699996e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '363': aq_gen             4.052035e-01\n",
+       " gas_gen            3.388536e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               8.816392e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '364': aq_gen             4.588006e-01\n",
+       " gas_gen            3.585629e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.800928e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '365': aq_gen             4.286293e-01\n",
+       " gas_gen            3.416117e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.527531e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '366': aq_gen             3.625244e-01\n",
+       " gas_gen            3.607232e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.939702e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '367': aq_gen             4.625021e-01\n",
+       " gas_gen            2.863603e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.158516e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '368': aq_gen             3.463462e-01\n",
+       " gas_gen            4.199500e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.398993e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '369': aq_gen             3.206160e-01\n",
+       " gas_gen            5.866047e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '370': aq_gen             3.600335e-01\n",
+       " gas_gen            4.252999e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.779147e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '371': aq_gen             4.155772e-01\n",
+       " gas_gen            3.470603e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               7.389990e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '372': aq_gen             2.842556e-01\n",
+       " gas_gen            4.810241e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.879041e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '373': aq_gen             4.594715e-01\n",
+       " gas_gen            3.556365e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.294109e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '374': aq_gen             3.191500e-01\n",
+       " gas_gen            4.361303e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.489832e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '375': aq_gen             3.861533e-01\n",
+       " gas_gen            4.108862e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.431270e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '376': aq_gen             4.120339e-01\n",
+       " gas_gen            4.285476e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '377': aq_gen             4.342656e-01\n",
+       " gas_gen            2.926240e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.841010e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '378': aq_gen             4.247632e-01\n",
+       " gas_gen            4.529165e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.734144e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '379': aq_gen             4.165623e-01\n",
+       " gas_gen            3.889215e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.055643e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '380': aq_gen             3.949926e-01\n",
+       " gas_gen            3.980785e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.527412e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '381': aq_gen             3.196410e-01\n",
+       " gas_gen            4.388360e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               9.962810e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '382': aq_gen             3.854945e-01\n",
+       " gas_gen            4.416988e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.737103e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '383': aq_gen             4.513546e-01\n",
+       " gas_gen            2.723755e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.102458e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '384': aq_gen             3.299401e-01\n",
+       " gas_gen            4.348459e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.291278e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '385': aq_gen             3.819502e-01\n",
+       " gas_gen            4.196600e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.394159e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '386': aq_gen             3.853280e-01\n",
+       " gas_gen            4.202777e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '387': aq_gen             4.711296e-01\n",
+       " gas_gen            3.072983e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.232443e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '388': aq_gen             3.344460e-01\n",
+       " gas_gen            5.777719e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '389': aq_gen             3.552550e-01\n",
+       " gas_gen            3.403586e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.239417e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '390': aq_gen             3.985071e-01\n",
+       " gas_gen            3.719057e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.786783e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '391': aq_gen             3.220771e-01\n",
+       " gas_gen            4.923209e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               7.332597e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '392': aq_gen             3.205067e-01\n",
+       " gas_gen            5.100218e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.064886e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '393': aq_gen             4.153444e-01\n",
+       " gas_gen            3.826214e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.326034e-06\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '394': aq_gen             5.047993e-01\n",
+       " gas_gen            3.854305e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.395588e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '395': aq_gen             1.807493e-01\n",
+       " gas_gen            6.363213e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.607309e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '396': aq_gen             2.323566e-01\n",
+       " gas_gen            5.565404e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.682651e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '397': aq_gen             3.933492e-01\n",
+       " gas_gen            4.284833e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.330522e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '398': aq_gen             4.168749e-01\n",
+       " gas_gen            4.475985e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.970115e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '399': aq_gen             4.123926e-01\n",
+       " gas_gen            3.910163e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.024826e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '400': aq_gen             4.640175e-01\n",
+       " gas_gen            3.032008e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.133413e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '401': aq_gen             3.919433e-01\n",
+       " gas_gen            3.721565e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.578435e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '402': aq_gen             5.192771e-01\n",
+       " gas_gen            4.481074e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '403': aq_gen             3.615350e-01\n",
+       " gas_gen            4.540452e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '404': aq_gen             4.749926e-01\n",
+       " gas_gen            3.818817e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.078169e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '405': aq_gen             4.266253e-01\n",
+       " gas_gen            3.476974e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.051534e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '406': aq_gen             3.222405e-01\n",
+       " gas_gen            4.221321e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.609810e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '407': aq_gen             3.715629e-01\n",
+       " gas_gen            4.017948e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.594323e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '408': aq_gen             4.010463e-01\n",
+       " gas_gen            3.925397e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.482188e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '409': aq_gen             3.291803e-01\n",
+       " gas_gen            4.548644e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.059405e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '410': aq_gen             3.292945e-01\n",
+       " gas_gen            4.520420e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.305784e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '411': aq_gen             4.347369e-01\n",
+       " gas_gen            2.820343e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.207554e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '413': aq_gen             4.035763e-01\n",
+       " gas_gen            3.730921e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               6.566926e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '414': aq_gen             2.432462e-01\n",
+       " gas_gen            5.983584e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.603597e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '415': aq_gen             3.242402e-01\n",
+       " gas_gen            4.174868e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.477439e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '416': aq_gen             4.541818e-01\n",
+       " gas_gen            3.246047e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.124942e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '417': aq_gen             3.511819e-01\n",
+       " gas_gen            5.024049e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '418': aq_gen             3.679886e-01\n",
+       " gas_gen            3.501179e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.866177e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '419': aq_gen             3.796137e-01\n",
+       " gas_gen            4.478968e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.749575e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '420': aq_gen             3.182632e-01\n",
+       " gas_gen            4.797083e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               9.327308e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '421': aq_gen             4.090880e-01\n",
+       " gas_gen            3.676773e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '422': aq_gen             3.520096e-01\n",
+       " gas_gen            5.239753e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '423': aq_gen             3.418354e-01\n",
+       " gas_gen            4.193255e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.525864e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '424': aq_gen             4.485654e-01\n",
+       " gas_gen            3.180373e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.614684e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '425': aq_gen             3.686773e-01\n",
+       " gas_gen            3.212157e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.735877e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '426': aq_gen             3.923106e-01\n",
+       " gas_gen            3.823508e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '427': aq_gen             4.360293e-01\n",
+       " gas_gen            3.016663e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.443495e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '428': aq_gen             3.796214e-01\n",
+       " gas_gen            3.388295e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.955537e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '429': aq_gen             4.212447e-01\n",
+       " gas_gen            3.424832e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.585563e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '430': aq_gen             2.531194e-01\n",
+       " gas_gen            5.992503e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.192577e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '431': aq_gen             4.630091e-01\n",
+       " gas_gen            3.654259e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.389444e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '432': aq_gen             4.608410e-01\n",
+       " gas_gen            4.103811e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.495331e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '433': aq_gen             3.189560e-01\n",
+       " gas_gen            3.818370e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.363774e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '434': aq_gen             3.486883e-01\n",
+       " gas_gen            4.234738e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.378459e-03\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '435': aq_gen             4.776556e-01\n",
+       " gas_gen            3.632317e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '436': aq_gen             4.733835e-01\n",
+       " gas_gen            3.906592e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.245973e-03\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '437': aq_gen             3.881356e-01\n",
+       " gas_gen            3.377730e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.464567e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '438': aq_gen             3.704539e-01\n",
+       " gas_gen            3.499733e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.716041e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '439': aq_gen             3.486743e-01\n",
+       " gas_gen            3.860775e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.865741e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '440': aq_gen             5.035744e-01\n",
+       " gas_gen            3.210370e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.163724e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '441': aq_gen             4.189964e-01\n",
+       " gas_gen            3.005907e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.730886e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '442': aq_gen             3.969140e-01\n",
+       " gas_gen            2.911418e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.316476e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '443': aq_gen             4.014924e-01\n",
+       " gas_gen            3.660684e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.474796e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '444': aq_gen             3.112786e-01\n",
+       " gas_gen            4.657289e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.028415e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '446': aq_gen             3.911965e-01\n",
+       " gas_gen            3.285173e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.738253e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '447': aq_gen             4.052457e-01\n",
+       " gas_gen            4.142380e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.089112e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '448': aq_gen             4.225779e-01\n",
+       " gas_gen            2.858967e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.612499e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '449': aq_gen             3.617117e-01\n",
+       " gas_gen            4.568250e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.084442e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '450': aq_gen             4.106226e-01\n",
+       " gas_gen            2.953452e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.773425e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '451': aq_gen             3.843625e-01\n",
+       " gas_gen            3.714119e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.417859e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '453': aq_gen             3.455739e-01\n",
+       " gas_gen            4.862089e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.391243e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '455': aq_gen             3.098052e-01\n",
+       " gas_gen            4.461145e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.737826e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '456': aq_gen             3.679176e-01\n",
+       " gas_gen            4.371869e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '457': aq_gen             2.402446e-01\n",
+       " gas_gen            5.010166e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.353308e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '458': aq_gen             1.531666e-01\n",
+       " gas_gen            6.908897e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               4.354760e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '459': aq_gen             1.987145e-01\n",
+       " gas_gen            5.945318e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               4.521174e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '460': aq_gen             3.832158e-01\n",
+       " gas_gen            4.443287e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '461': aq_gen             2.838052e-01\n",
+       " gas_gen            4.853400e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.083284e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '462': aq_gen             3.398440e-01\n",
+       " gas_gen            4.012751e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.179884e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '463': aq_gen             3.939933e-01\n",
+       " gas_gen            3.346887e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.508843e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '464': aq_gen             3.546924e-01\n",
+       " gas_gen            4.253653e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.232607e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '465': aq_gen             3.788177e-01\n",
+       " gas_gen            4.215450e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.320718e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '466': aq_gen             4.602784e-01\n",
+       " gas_gen            3.262383e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.217986e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '467': aq_gen             4.729390e-01\n",
+       " gas_gen            2.856580e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.153016e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '468': aq_gen             2.803555e-01\n",
+       " gas_gen            5.980894e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.436214e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '469': aq_gen             4.358471e-01\n",
+       " gas_gen            4.422419e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '470': aq_gen             4.659673e-01\n",
+       " gas_gen            3.015694e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.425646e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '471': aq_gen             4.134276e-01\n",
+       " gas_gen            2.829582e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.393860e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '472': aq_gen             4.352158e-01\n",
+       " gas_gen            3.365206e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.270401e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '473': aq_gen             2.305457e-01\n",
+       " gas_gen            5.282930e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.274321e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '474': aq_gen             2.924585e-01\n",
+       " gas_gen            4.747483e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.946681e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '475': aq_gen             4.102448e-01\n",
+       " gas_gen            3.632528e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.960060e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '476': aq_gen             2.290599e-01\n",
+       " gas_gen            6.397984e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.535341e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '478': aq_gen             3.841958e-01\n",
+       " gas_gen            3.799924e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.521024e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '479': aq_gen             4.482206e-01\n",
+       " gas_gen            4.205878e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.500780e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '480': aq_gen             3.817692e-01\n",
+       " gas_gen            3.660062e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.069752e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '481': aq_gen             3.751787e-01\n",
+       " gas_gen            3.280093e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.931282e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '482': aq_gen             3.342296e-01\n",
+       " gas_gen            3.833990e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.366733e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '483': aq_gen             3.732006e-01\n",
+       " gas_gen            4.022945e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '484': aq_gen             3.613389e-01\n",
+       " gas_gen            3.357295e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.302885e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '485': aq_gen             3.619495e-01\n",
+       " gas_gen            3.434508e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.787448e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '486': aq_gen             3.671901e-01\n",
+       " gas_gen            3.779825e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.723581e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '487': aq_gen             2.898662e-01\n",
+       " gas_gen            4.531483e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.631325e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '488': aq_gen             2.785717e-01\n",
+       " gas_gen            5.759885e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               4.143695e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '489': aq_gen             3.353994e-01\n",
+       " gas_gen            4.846750e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.463422e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '490': aq_gen             4.613105e-01\n",
+       " gas_gen            2.650617e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.998786e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '491': aq_gen             4.383064e-01\n",
+       " gas_gen            3.262254e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.206399e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '492': aq_gen             4.731306e-01\n",
+       " gas_gen            4.069884e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.592234e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '493': aq_gen             2.864580e-01\n",
+       " gas_gen            4.389785e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.996298e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '494': aq_gen             4.229533e-01\n",
+       " gas_gen            2.884952e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.627757e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '495': aq_gen             3.313353e-01\n",
+       " gas_gen            4.735901e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               6.531619e-03\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '496': aq_gen             3.107564e-01\n",
+       " gas_gen            4.896091e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               5.635728e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '497': aq_gen             3.601497e-01\n",
+       " gas_gen            3.321189e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.763474e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '498': aq_gen             3.940037e-01\n",
+       " gas_gen            3.648526e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.885474e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '499': aq_gen             4.450761e-01\n",
+       " gas_gen            2.675636e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.356349e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '500': aq_gen             3.990036e-01\n",
+       " gas_gen            3.938728e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '501': aq_gen             3.685431e-01\n",
+       " gas_gen            4.526518e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '502': aq_gen             3.540563e-01\n",
+       " gas_gen            4.038371e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.858675e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '503': aq_gen             4.136799e-01\n",
+       " gas_gen            3.458455e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.160224e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '504': aq_gen             4.323515e-01\n",
+       " gas_gen            3.760513e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.423925e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '505': aq_gen             3.906353e-01\n",
+       " gas_gen            3.462412e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.350002e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '507': aq_gen             4.212995e-01\n",
+       " gas_gen            3.621382e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.185374e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '508': aq_gen             4.402429e-01\n",
+       " gas_gen            3.499965e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.569321e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '509': aq_gen             2.511845e-01\n",
+       " gas_gen            5.242358e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.514023e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '510': aq_gen             2.680153e-01\n",
+       " gas_gen            5.297941e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.252470e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '511': aq_gen             4.090301e-01\n",
+       " gas_gen            3.666467e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               4.645592e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '512': aq_gen             3.909181e-01\n",
+       " gas_gen            3.197922e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.395567e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '514': aq_gen             1.838143e-01\n",
+       " gas_gen            5.826435e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               4.424263e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '515': aq_gen             3.628156e-01\n",
+       " gas_gen            3.989143e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.203315e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '516': aq_gen             4.574878e-01\n",
+       " gas_gen            3.723901e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.080090e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '517': aq_gen             4.012537e-01\n",
+       " gas_gen            3.724242e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.686377e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '518': aq_gen             4.249226e-01\n",
+       " gas_gen            3.305285e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '520': aq_gen             3.802683e-01\n",
+       " gas_gen            4.827381e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '521': aq_gen             3.753594e-01\n",
+       " gas_gen            3.728254e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.931838e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '522': aq_gen             1.769489e-01\n",
+       " gas_gen            6.257020e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               4.517989e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '523': aq_gen             4.398988e-01\n",
+       " gas_gen            3.282733e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.371505e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '524': aq_gen             3.250258e-01\n",
+       " gas_gen            4.606739e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               6.550721e-03\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '526': aq_gen             4.398569e-01\n",
+       " gas_gen            3.994504e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.818230e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '527': aq_gen             3.693406e-01\n",
+       " gas_gen            3.523069e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               9.455622e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '528': aq_gen             3.170796e-01\n",
+       " gas_gen            4.721602e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.937435e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '529': aq_gen             3.733342e-01\n",
+       " gas_gen            3.669495e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.858270e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '530': aq_gen             2.915260e-01\n",
+       " gas_gen            4.669042e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.325581e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '531': aq_gen             4.011387e-01\n",
+       " gas_gen            3.634688e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               6.315313e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '532': aq_gen             2.736981e-01\n",
+       " gas_gen            4.685815e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.721713e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '533': aq_gen             3.279936e-01\n",
+       " gas_gen            5.405693e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '534': aq_gen             3.556945e-01\n",
+       " gas_gen            3.487844e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.536842e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '535': aq_gen             3.826197e-01\n",
+       " gas_gen            3.139315e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.792767e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '536': aq_gen             3.100478e-01\n",
+       " gas_gen            3.991695e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.787925e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '538': aq_gen             3.536506e-01\n",
+       " gas_gen            4.402006e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '539': aq_gen             3.828718e-01\n",
+       " gas_gen            3.687246e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               9.166699e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '540': aq_gen             2.118443e-01\n",
+       " gas_gen            6.046765e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.928866e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '541': aq_gen             4.480505e-01\n",
+       " gas_gen            3.149685e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.229164e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '542': aq_gen             1.357917e-01\n",
+       " gas_gen            6.891046e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               4.013329e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '543': aq_gen             3.155769e-01\n",
+       " gas_gen            4.422298e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.014710e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '544': aq_gen             3.910647e-01\n",
+       " gas_gen            4.409127e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.099463e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '545': aq_gen             4.096170e-01\n",
+       " gas_gen            4.579874e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '546': aq_gen             3.407371e-01\n",
+       " gas_gen            4.818678e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.424784e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '547': aq_gen             3.774477e-01\n",
+       " gas_gen            3.979738e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               4.088066e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '548': aq_gen             3.874293e-01\n",
+       " gas_gen            3.729417e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.639368e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '549': aq_gen             4.061762e-01\n",
+       " gas_gen            3.753152e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '550': aq_gen             4.051344e-01\n",
+       " gas_gen            4.228167e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.003825e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '551': aq_gen             2.873473e-01\n",
+       " gas_gen            4.860244e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               8.777788e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '552': aq_gen             4.258359e-01\n",
+       " gas_gen            4.077621e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.086556e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '553': aq_gen             3.702473e-01\n",
+       " gas_gen            3.560433e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.418541e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '554': aq_gen             3.103679e-01\n",
+       " gas_gen            4.127691e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.065704e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '556': aq_gen             4.187620e-01\n",
+       " gas_gen            3.728364e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.183848e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '557': aq_gen             5.169742e-01\n",
+       " gas_gen            2.819900e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.036903e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '558': aq_gen             2.787380e-01\n",
+       " gas_gen            6.373997e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               5.932263e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '559': aq_gen             4.438241e-01\n",
+       " gas_gen            3.326239e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.175919e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '560': aq_gen             4.047155e-01\n",
+       " gas_gen            3.413672e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.326067e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '561': aq_gen             2.164724e-01\n",
+       " gas_gen            5.683066e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.878109e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '562': aq_gen             4.383458e-01\n",
+       " gas_gen            2.904916e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.511003e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '563': aq_gen             4.879061e-01\n",
+       " gas_gen            3.334964e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.210628e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '564': aq_gen             3.658390e-01\n",
+       " gas_gen            3.646748e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.154630e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '565': aq_gen             3.720549e-01\n",
+       " gas_gen            4.664047e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '566': aq_gen             3.588135e-01\n",
+       " gas_gen            4.435342e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '567': aq_gen             4.833404e-01\n",
+       " gas_gen            3.955367e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.515972e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '568': aq_gen             4.459787e-01\n",
+       " gas_gen            3.279237e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '570': aq_gen             4.355696e-01\n",
+       " gas_gen            3.737991e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '571': aq_gen             3.371316e-01\n",
+       " gas_gen            4.664733e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.745537e-03\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '572': aq_gen             2.789274e-01\n",
+       " gas_gen            4.995009e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               6.161168e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '574': aq_gen             4.236615e-01\n",
+       " gas_gen            2.893524e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               5.854453e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '575': aq_gen             3.950536e-01\n",
+       " gas_gen            3.040249e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.748827e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '576': aq_gen             3.585353e-01\n",
+       " gas_gen            3.659597e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.215055e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '577': aq_gen             4.179247e-01\n",
+       " gas_gen            3.606521e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '579': aq_gen             3.272785e-01\n",
+       " gas_gen            4.129073e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.874704e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '580': aq_gen             4.183165e-01\n",
+       " gas_gen            2.910464e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.192089e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '581': aq_gen             4.119673e-01\n",
+       " gas_gen            4.176025e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.673046e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '582': aq_gen             4.558719e-01\n",
+       " gas_gen            2.876139e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.172709e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '583': aq_gen             3.413078e-01\n",
+       " gas_gen            4.210865e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.844342e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '584': aq_gen             3.747870e-01\n",
+       " gas_gen            3.640994e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               6.118811e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '585': aq_gen             4.084043e-01\n",
+       " gas_gen            3.539861e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '587': aq_gen             2.425531e-01\n",
+       " gas_gen            5.750222e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.867639e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '588': aq_gen             4.038435e-01\n",
+       " gas_gen            4.136962e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.187696e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '589': aq_gen             4.096345e-01\n",
+       " gas_gen            3.330140e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               6.607370e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '590': aq_gen             3.343699e-01\n",
+       " gas_gen            3.715305e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.730704e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '591': aq_gen             3.414406e-01\n",
+       " gas_gen            4.062460e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.740417e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '592': aq_gen             2.839680e-01\n",
+       " gas_gen            4.600203e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.403551e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '593': aq_gen             3.732049e-01\n",
+       " gas_gen            4.349599e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '594': aq_gen             4.742430e-01\n",
+       " gas_gen            3.996744e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               6.141302e-03\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '595': aq_gen             2.831726e-01\n",
+       " gas_gen            4.339275e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.583904e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '596': aq_gen             3.890586e-01\n",
+       " gas_gen            4.547125e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '597': aq_gen             3.990623e-01\n",
+       " gas_gen            4.219047e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.136695e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '598': aq_gen             4.169005e-01\n",
+       " gas_gen            2.824153e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.386337e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '599': aq_gen             4.180952e-01\n",
+       " gas_gen            3.357805e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '600': aq_gen             4.475159e-01\n",
+       " gas_gen            3.087649e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.644274e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '601': aq_gen             3.518102e-01\n",
+       " gas_gen            3.473520e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.947401e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '602': aq_gen             4.090208e-01\n",
+       " gas_gen            3.202910e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.564338e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '603': aq_gen             4.592472e-01\n",
+       " gas_gen            2.863948e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.150258e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '604': aq_gen             4.605958e-01\n",
+       " gas_gen            2.919207e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.065614e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '605': aq_gen             3.713495e-01\n",
+       " gas_gen            3.592815e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.891999e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '606': aq_gen             4.093096e-01\n",
+       " gas_gen            3.457838e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '607': aq_gen             4.152022e-01\n",
+       " gas_gen            4.317316e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.321172e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '608': aq_gen             3.767482e-01\n",
+       " gas_gen            4.083389e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.786858e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '609': aq_gen             4.050052e-01\n",
+       " gas_gen            4.396634e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.770810e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '611': aq_gen             4.114204e-01\n",
+       " gas_gen            3.415876e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.456456e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '612': aq_gen             1.796608e-01\n",
+       " gas_gen            6.073120e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               4.185203e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '613': aq_gen             3.700281e-01\n",
+       " gas_gen            3.263001e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.668284e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '614': aq_gen             3.046487e-01\n",
+       " gas_gen            4.485223e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.716753e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '615': aq_gen             3.938368e-01\n",
+       " gas_gen            3.552044e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '616': aq_gen             3.666948e-01\n",
+       " gas_gen            3.844971e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.666917e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '617': aq_gen             3.883811e-01\n",
+       " gas_gen            3.062128e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.473927e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '618': aq_gen             3.592881e-01\n",
+       " gas_gen            4.081529e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               8.051452e-03\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '619': aq_gen             3.967548e-01\n",
+       " gas_gen            2.930511e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.527584e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '620': aq_gen             3.032356e-01\n",
+       " gas_gen            4.356094e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.642849e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '621': aq_gen             4.080918e-01\n",
+       " gas_gen            3.045753e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.651931e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '622': aq_gen             3.946671e-01\n",
+       " gas_gen            3.792041e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '623': aq_gen             4.056020e-01\n",
+       " gas_gen            3.093821e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.501995e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '624': aq_gen             4.226392e-01\n",
+       " gas_gen            4.360875e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.381122e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '625': aq_gen             3.142860e-01\n",
+       " gas_gen            4.856136e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.815038e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '626': aq_gen             4.203081e-01\n",
+       " gas_gen            3.309877e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '627': aq_gen             3.526155e-01\n",
+       " gas_gen            4.383169e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.066841e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '628': aq_gen             4.128846e-01\n",
+       " gas_gen            3.077092e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.992366e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '629': aq_gen             4.265516e-01\n",
+       " gas_gen            3.117092e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.023399e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '630': aq_gen             4.094221e-01\n",
+       " gas_gen            2.852913e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.208690e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '631': aq_gen             3.382977e-01\n",
+       " gas_gen            4.201391e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               9.973833e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '632': aq_gen             3.305972e-01\n",
+       " gas_gen            3.859993e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.672757e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '633': aq_gen             4.203895e-01\n",
+       " gas_gen            3.611028e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.298688e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '634': aq_gen             3.868861e-01\n",
+       " gas_gen            3.372215e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.588744e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '635': aq_gen             3.116627e-01\n",
+       " gas_gen            5.079863e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.953717e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '636': aq_gen             3.961994e-01\n",
+       " gas_gen            3.790389e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '637': aq_gen             3.755382e-01\n",
+       " gas_gen            3.736373e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.081579e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '638': aq_gen             3.865585e-01\n",
+       " gas_gen            3.337043e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.587356e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '639': aq_gen             3.822218e-01\n",
+       " gas_gen            3.991162e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.213127e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '641': aq_gen             3.853875e-01\n",
+       " gas_gen            3.025663e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.573888e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '643': aq_gen             3.993221e-01\n",
+       " gas_gen            3.063788e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.043062e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '644': aq_gen             3.871694e-01\n",
+       " gas_gen            4.362278e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.378500e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '645': aq_gen             4.640612e-01\n",
+       " gas_gen            4.174524e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '646': aq_gen             3.442794e-01\n",
+       " gas_gen            4.309201e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.820250e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '647': aq_gen             3.435759e-01\n",
+       " gas_gen            4.593585e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.184051e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '648': aq_gen             4.071411e-01\n",
+       " gas_gen            3.423170e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.231858e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '650': aq_gen             5.017768e-01\n",
+       " gas_gen            3.210382e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.109512e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '651': aq_gen             4.229337e-01\n",
+       " gas_gen            4.361918e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.506162e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '652': aq_gen             3.204906e-01\n",
+       " gas_gen            3.982066e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.153277e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '653': aq_gen             2.667669e-01\n",
+       " gas_gen            4.827764e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.185126e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '654': aq_gen             3.402676e-01\n",
+       " gas_gen            3.954161e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.431841e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '655': aq_gen             3.233518e-01\n",
+       " gas_gen            4.074540e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.444758e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '656': aq_gen             3.753414e-01\n",
+       " gas_gen            4.942534e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.756118e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '657': aq_gen             2.803533e-01\n",
+       " gas_gen            4.528430e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.242188e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '658': aq_gen             4.483244e-01\n",
+       " gas_gen            3.638014e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.539660e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '659': aq_gen             4.436895e-01\n",
+       " gas_gen            2.863864e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.363435e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '660': aq_gen             3.458226e-01\n",
+       " gas_gen            3.993771e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.467361e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '661': aq_gen             3.676808e-01\n",
+       " gas_gen            3.503182e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.761719e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '662': aq_gen             3.637756e-01\n",
+       " gas_gen            3.655522e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.912421e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '663': aq_gen             3.282515e-01\n",
+       " gas_gen            4.387019e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               7.840012e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '664': aq_gen             4.759889e-01\n",
+       " gas_gen            2.690031e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.216396e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '665': aq_gen             3.655282e-01\n",
+       " gas_gen            3.889316e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.093637e-03\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '666': aq_gen             4.005653e-01\n",
+       " gas_gen            3.402733e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               9.680890e-03\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '667': aq_gen             3.628399e-01\n",
+       " gas_gen            3.645307e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.274415e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '668': aq_gen             3.544216e-01\n",
+       " gas_gen            5.233432e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '669': aq_gen             3.274632e-01\n",
+       " gas_gen            5.305916e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '670': aq_gen             4.490525e-01\n",
+       " gas_gen            4.455583e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.247571e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '671': aq_gen             4.119949e-01\n",
+       " gas_gen            3.401739e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '672': aq_gen             3.784224e-01\n",
+       " gas_gen            3.283304e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.000738e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '673': aq_gen             2.817860e-01\n",
+       " gas_gen            5.168915e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.204686e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '674': aq_gen             3.614793e-01\n",
+       " gas_gen            4.397078e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '675': aq_gen             4.411968e-01\n",
+       " gas_gen            3.882664e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.760696e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '676': aq_gen             4.116524e-01\n",
+       " gas_gen            2.794095e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.783813e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '677': aq_gen             1.354483e-01\n",
+       " gas_gen            6.077487e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               4.184822e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '678': aq_gen             3.817519e-01\n",
+       " gas_gen            3.107439e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.788015e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '679': aq_gen             3.934693e-01\n",
+       " gas_gen            3.630172e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '680': aq_gen             4.139957e-01\n",
+       " gas_gen            3.596881e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               6.929368e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '681': aq_gen             4.054969e-01\n",
+       " gas_gen            3.842130e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '682': aq_gen             4.109097e-01\n",
+       " gas_gen            3.692886e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '683': aq_gen             3.723415e-01\n",
+       " gas_gen            3.844648e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               8.820311e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '685': aq_gen             3.693159e-01\n",
+       " gas_gen            5.019495e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.899853e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '686': aq_gen             3.772814e-01\n",
+       " gas_gen            3.056881e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.989854e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '687': aq_gen             4.096572e-01\n",
+       " gas_gen            3.160411e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               4.936386e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '688': aq_gen             4.806421e-01\n",
+       " gas_gen            3.385366e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.275901e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '689': aq_gen             4.572603e-01\n",
+       " gas_gen            3.454281e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.342689e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '690': aq_gen             3.090646e-01\n",
+       " gas_gen            4.015151e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.898068e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '691': aq_gen             2.052416e-01\n",
+       " gas_gen            5.150746e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               4.555048e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '692': aq_gen             3.704129e-01\n",
+       " gas_gen            3.798519e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.470292e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '693': aq_gen             4.540330e-01\n",
+       " gas_gen            3.896331e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.394959e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '694': aq_gen             3.997473e-01\n",
+       " gas_gen            3.517160e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '695': aq_gen             3.587782e-01\n",
+       " gas_gen            4.477433e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '696': aq_gen             3.862102e-01\n",
+       " gas_gen            3.448106e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.493993e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '697': aq_gen             3.663111e-01\n",
+       " gas_gen            4.452680e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.892306e-03\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '698': aq_gen             2.494562e-01\n",
+       " gas_gen            5.586037e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.881131e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '699': aq_gen             4.092296e-01\n",
+       " gas_gen            3.483355e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '700': aq_gen             3.681354e-01\n",
+       " gas_gen            3.423674e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.479350e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '701': aq_gen             3.064184e-01\n",
+       " gas_gen            4.392225e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.641936e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '702': aq_gen             3.195351e-01\n",
+       " gas_gen            4.016695e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.549193e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '703': aq_gen             2.732908e-01\n",
+       " gas_gen            5.002734e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.870119e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '704': aq_gen             3.003113e-01\n",
+       " gas_gen            4.634250e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.832821e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '705': aq_gen             3.709168e-01\n",
+       " gas_gen            4.381074e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '706': aq_gen             2.735732e-01\n",
+       " gas_gen            5.689158e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               4.008334e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '707': aq_gen             5.080039e-01\n",
+       " gas_gen            3.579192e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.516062e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '708': aq_gen             2.553055e-01\n",
+       " gas_gen            5.172785e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.308073e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '709': aq_gen             3.666547e-01\n",
+       " gas_gen            4.794279e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.677584e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '710': aq_gen             3.387328e-01\n",
+       " gas_gen            3.739649e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.648081e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '711': aq_gen             3.954553e-01\n",
+       " gas_gen            3.507233e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '712': aq_gen             3.545548e-01\n",
+       " gas_gen            4.295013e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.425930e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '713': aq_gen             2.639782e-01\n",
+       " gas_gen            4.745169e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.325066e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '714': aq_gen             3.407441e-01\n",
+       " gas_gen            3.802802e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.032116e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '715': aq_gen             3.926505e-01\n",
+       " gas_gen            3.115360e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.593724e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '716': aq_gen             3.384567e-01\n",
+       " gas_gen            3.683837e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.956791e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '717': aq_gen             3.585882e-01\n",
+       " gas_gen            3.703220e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.175543e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '718': aq_gen             3.715109e-01\n",
+       " gas_gen            3.178324e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.660777e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '719': aq_gen             4.035108e-01\n",
+       " gas_gen            3.642666e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '720': aq_gen             4.523992e-01\n",
+       " gas_gen            4.234885e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.262282e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '721': aq_gen             2.686245e-01\n",
+       " gas_gen            5.547698e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.004388e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '722': aq_gen             3.116313e-01\n",
+       " gas_gen            4.509443e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.029431e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '723': aq_gen             3.147678e-01\n",
+       " gas_gen            4.190278e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.683921e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '724': aq_gen             3.164206e-01\n",
+       " gas_gen            4.394236e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.791428e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '725': aq_gen             3.242962e-01\n",
+       " gas_gen            4.237781e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.188617e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '726': aq_gen             3.646689e-01\n",
+       " gas_gen            4.753761e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               4.661292e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '727': aq_gen             3.934941e-01\n",
+       " gas_gen            3.957541e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '728': aq_gen             3.217573e-01\n",
+       " gas_gen            5.110125e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.209316e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '729': aq_gen             4.138411e-01\n",
+       " gas_gen            3.500464e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.884909e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '730': aq_gen             3.290344e-01\n",
+       " gas_gen            4.195583e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.055587e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '731': aq_gen             4.171149e-01\n",
+       " gas_gen            2.858256e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.998077e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '732': aq_gen             4.506164e-01\n",
+       " gas_gen            3.078712e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.405744e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '733': aq_gen             3.278325e-01\n",
+       " gas_gen            5.060242e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '734': aq_gen             3.954146e-01\n",
+       " gas_gen            4.271091e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.623194e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '735': aq_gen             3.140514e-01\n",
+       " gas_gen            4.394434e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.245148e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '736': aq_gen             3.140830e-01\n",
+       " gas_gen            5.463417e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.936356e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '737': aq_gen             3.775194e-01\n",
+       " gas_gen            3.977855e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.100599e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '738': aq_gen             4.205823e-01\n",
+       " gas_gen            3.408537e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.775112e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '739': aq_gen             4.130798e-01\n",
+       " gas_gen            3.516132e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '740': aq_gen             4.272026e-01\n",
+       " gas_gen            3.324782e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.511958e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '741': aq_gen             2.880842e-01\n",
+       " gas_gen            5.210701e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.901050e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '742': aq_gen             3.253266e-01\n",
+       " gas_gen            4.234839e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.538280e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '743': aq_gen             3.596519e-01\n",
+       " gas_gen            3.567706e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.489633e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '744': aq_gen             2.587505e-01\n",
+       " gas_gen            5.016015e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.733074e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '745': aq_gen             1.545292e-01\n",
+       " gas_gen            6.344626e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               4.191507e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '746': aq_gen             2.215651e-01\n",
+       " gas_gen            5.984894e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               4.166240e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '747': aq_gen             3.174876e-01\n",
+       " gas_gen            4.320817e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.650388e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '748': aq_gen             3.162476e-01\n",
+       " gas_gen            4.732352e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               9.379449e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '749': aq_gen             4.494347e-01\n",
+       " gas_gen            2.761456e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.605804e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '750': aq_gen             4.295545e-01\n",
+       " gas_gen            4.375066e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.686967e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '752': aq_gen             3.748251e-01\n",
+       " gas_gen            3.690377e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.421025e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '753': aq_gen             3.096930e-01\n",
+       " gas_gen            4.309592e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.586162e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '754': aq_gen             4.486053e-01\n",
+       " gas_gen            3.524523e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.845581e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '755': aq_gen             3.446247e-01\n",
+       " gas_gen            4.333730e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               9.081001e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '756': aq_gen             4.242148e-01\n",
+       " gas_gen            3.013874e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               4.049244e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '757': aq_gen             4.817052e-01\n",
+       " gas_gen            3.721250e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.329631e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '758': aq_gen             2.803756e-01\n",
+       " gas_gen            5.068411e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.517506e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '760': aq_gen             4.256463e-01\n",
+       " gas_gen            5.144780e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '761': aq_gen             3.821298e-01\n",
+       " gas_gen            3.416173e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               8.756973e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '762': aq_gen             3.170235e-01\n",
+       " gas_gen            5.716448e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.715263e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '763': aq_gen             2.131974e-01\n",
+       " gas_gen            6.149251e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               4.060020e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '764': aq_gen             4.377888e-01\n",
+       " gas_gen            4.760247e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.888061e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '765': aq_gen             4.183640e-01\n",
+       " gas_gen            3.160326e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '766': aq_gen             4.466633e-01\n",
+       " gas_gen            3.994581e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.318882e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '767': aq_gen             3.407687e-01\n",
+       " gas_gen            4.984060e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '768': aq_gen             3.590671e-01\n",
+       " gas_gen            3.808807e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.789082e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '769': aq_gen             3.206339e-01\n",
+       " gas_gen            4.437319e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               7.199935e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '770': aq_gen             4.522032e-01\n",
+       " gas_gen            3.470721e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.098893e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '771': aq_gen             4.158459e-01\n",
+       " gas_gen            3.259368e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '772': aq_gen             4.444722e-01\n",
+       " gas_gen            4.052178e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.203100e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '773': aq_gen             2.946887e-01\n",
+       " gas_gen            5.260498e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               9.836510e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '774': aq_gen             4.404065e-01\n",
+       " gas_gen            3.434223e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.296614e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '775': aq_gen             4.398090e-01\n",
+       " gas_gen            3.788133e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.319099e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '776': aq_gen             3.344375e-01\n",
+       " gas_gen            4.802253e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.478304e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '778': aq_gen             3.498277e-01\n",
+       " gas_gen            4.411414e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.475343e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '779': aq_gen             3.926447e-01\n",
+       " gas_gen            4.361531e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '780': aq_gen             4.196659e-01\n",
+       " gas_gen            3.188516e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.593270e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '781': aq_gen             2.789350e-01\n",
+       " gas_gen            4.948547e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.769847e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '782': aq_gen             3.085239e-01\n",
+       " gas_gen            4.177573e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.373156e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '783': aq_gen             4.005477e-01\n",
+       " gas_gen            4.004187e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '784': aq_gen             3.766693e-01\n",
+       " gas_gen            3.504847e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.857659e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '785': aq_gen             4.235467e-01\n",
+       " gas_gen            3.437059e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '786': aq_gen             4.440882e-01\n",
+       " gas_gen            2.950235e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.959502e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '787': aq_gen             3.206325e-01\n",
+       " gas_gen            3.644962e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.188805e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '788': aq_gen             4.852139e-01\n",
+       " gas_gen            3.599143e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.318593e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '789': aq_gen             3.722145e-01\n",
+       " gas_gen            3.093370e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.560580e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '790': aq_gen             3.053243e-01\n",
+       " gas_gen            4.567195e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.403194e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '791': aq_gen             4.624057e-01\n",
+       " gas_gen            3.999389e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.794527e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '793': aq_gen             4.341307e-01\n",
+       " gas_gen            4.281702e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.299331e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '794': aq_gen             3.693647e-01\n",
+       " gas_gen            3.232365e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.879100e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '795': aq_gen             3.750153e-01\n",
+       " gas_gen            3.518464e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.194370e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '797': aq_gen             4.108719e-01\n",
+       " gas_gen            2.841911e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.150167e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '799': aq_gen             3.653739e-01\n",
+       " gas_gen            3.741416e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.055563e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '800': aq_gen             2.810929e-01\n",
+       " gas_gen            4.744274e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.288055e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '801': aq_gen             3.901782e-01\n",
+       " gas_gen            4.540719e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.643817e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '802': aq_gen             2.458614e-01\n",
+       " gas_gen            5.152480e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.415904e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '803': aq_gen             3.967511e-01\n",
+       " gas_gen            3.314057e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.685948e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '804': aq_gen             3.805127e-01\n",
+       " gas_gen            4.004579e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.459658e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '805': aq_gen             3.503334e-01\n",
+       " gas_gen            4.379965e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               6.554831e-03\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '806': aq_gen             3.803348e-01\n",
+       " gas_gen            4.593942e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '807': aq_gen             3.052077e-01\n",
+       " gas_gen            5.020597e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.949410e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '808': aq_gen             3.679778e-01\n",
+       " gas_gen            3.973119e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '809': aq_gen             4.684098e-01\n",
+       " gas_gen            2.812956e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.060506e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '810': aq_gen             3.152574e-01\n",
+       " gas_gen            4.953863e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '811': aq_gen             3.472761e-01\n",
+       " gas_gen            3.549134e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.709248e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '812': aq_gen             3.305157e-01\n",
+       " gas_gen            4.361706e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.166376e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '814': aq_gen             4.324120e-01\n",
+       " gas_gen            3.519735e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.046491e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '815': aq_gen             4.653550e-01\n",
+       " gas_gen            3.526675e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.195857e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '816': aq_gen             3.748186e-01\n",
+       " gas_gen            4.943120e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.255437e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '817': aq_gen             1.164899e-01\n",
+       " gas_gen            6.831253e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               4.632098e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '818': aq_gen             3.340183e-01\n",
+       " gas_gen            5.237125e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '819': aq_gen             2.295023e-01\n",
+       " gas_gen            5.155952e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.940253e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '820': aq_gen             3.002828e-01\n",
+       " gas_gen            4.181133e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.256011e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '821': aq_gen             3.262150e-01\n",
+       " gas_gen            4.516964e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.727734e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '822': aq_gen             3.958451e-01\n",
+       " gas_gen            3.747670e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.947995e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '823': aq_gen             3.815466e-01\n",
+       " gas_gen            3.322646e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.575807e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '824': aq_gen             3.447535e-01\n",
+       " gas_gen            3.564555e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.663528e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '825': aq_gen             3.854676e-01\n",
+       " gas_gen            3.112377e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.605500e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '826': aq_gen             3.966155e-01\n",
+       " gas_gen            3.833510e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '827': aq_gen             3.398006e-01\n",
+       " gas_gen            3.661809e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.689517e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '828': aq_gen             4.901408e-01\n",
+       " gas_gen            3.663099e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '829': aq_gen             4.197962e-01\n",
+       " gas_gen            4.598589e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.389643e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '830': aq_gen             4.126362e-01\n",
+       " gas_gen            3.865987e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '831': aq_gen             3.487204e-01\n",
+       " gas_gen            5.148539e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '832': aq_gen             3.922187e-01\n",
+       " gas_gen            4.075236e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.257720e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '833': aq_gen             2.999263e-01\n",
+       " gas_gen            4.810991e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.221100e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '834': aq_gen             3.639306e-01\n",
+       " gas_gen            3.754089e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               5.800566e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '835': aq_gen             5.395943e-01\n",
+       " gas_gen            4.080469e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.572791e-08\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '836': aq_gen             4.247881e-01\n",
+       " gas_gen            3.319769e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.177129e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '837': aq_gen             3.786951e-01\n",
+       " gas_gen            3.004838e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.479125e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '838': aq_gen             4.633818e-01\n",
+       " gas_gen            3.621008e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.764967e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '839': aq_gen             4.456607e-01\n",
+       " gas_gen            3.659741e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.432268e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '840': aq_gen             3.470469e-01\n",
+       " gas_gen            3.371341e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.961766e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '841': aq_gen             2.557419e-01\n",
+       " gas_gen            5.202034e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.130922e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '842': aq_gen             4.223614e-01\n",
+       " gas_gen            2.963986e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.934289e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '843': aq_gen             4.425647e-01\n",
+       " gas_gen            2.671565e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.782785e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '844': aq_gen             3.176097e-01\n",
+       " gas_gen            4.756862e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.948153e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '845': aq_gen             4.325485e-01\n",
+       " gas_gen            2.785421e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.029179e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '846': aq_gen             4.157935e-01\n",
+       " gas_gen            3.268801e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               5.788610e-03\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '847': aq_gen             3.419750e-01\n",
+       " gas_gen            4.960985e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.657391e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '848': aq_gen             3.128345e-01\n",
+       " gas_gen            3.865144e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.922871e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '849': aq_gen             4.158310e-01\n",
+       " gas_gen            3.457489e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.661592e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '850': aq_gen             3.563317e-01\n",
+       " gas_gen            3.374372e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.138636e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '851': aq_gen             4.077963e-01\n",
+       " gas_gen            3.392818e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.269602e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '852': aq_gen             3.773314e-01\n",
+       " gas_gen            4.485775e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.592997e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '853': aq_gen             4.533577e-01\n",
+       " gas_gen            3.005799e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.578376e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '854': aq_gen             4.731649e-01\n",
+       " gas_gen            3.608460e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '855': aq_gen             4.193244e-01\n",
+       " gas_gen            2.989017e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.118277e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '856': aq_gen             4.313244e-01\n",
+       " gas_gen            4.535186e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.347285e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '857': aq_gen             4.385549e-01\n",
+       " gas_gen            3.433260e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.377749e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '859': aq_gen             4.368159e-01\n",
+       " gas_gen            4.486375e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.984391e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '860': aq_gen             4.795429e-01\n",
+       " gas_gen            3.656619e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.339544e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '861': aq_gen             3.720174e-01\n",
+       " gas_gen            3.236427e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.650554e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '862': aq_gen             2.697467e-01\n",
+       " gas_gen            4.837261e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.063716e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '863': aq_gen             3.421220e-01\n",
+       " gas_gen            4.340045e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               4.915547e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '864': aq_gen             4.320703e-01\n",
+       " gas_gen            3.149850e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               6.722069e-03\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '865': aq_gen             4.374466e-01\n",
+       " gas_gen            3.499153e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '866': aq_gen             3.724672e-01\n",
+       " gas_gen            3.434342e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.173402e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '867': aq_gen             2.916453e-01\n",
+       " gas_gen            4.993054e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.722287e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '868': aq_gen             3.409926e-01\n",
+       " gas_gen            4.861394e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               7.459328e-10\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '869': aq_gen             3.287393e-01\n",
+       " gas_gen            3.990719e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.059659e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '870': aq_gen             2.839264e-01\n",
+       " gas_gen            4.323120e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.336477e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '871': aq_gen             4.191651e-01\n",
+       " gas_gen            3.353990e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '872': aq_gen             3.632789e-01\n",
+       " gas_gen            3.486975e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.251536e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '873': aq_gen             2.778164e-01\n",
+       " gas_gen            3.402293e-13\n",
+       " HCA-Friedels-ss    1.175718e-06\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               4.623710e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '874': aq_gen             4.426315e-01\n",
+       " gas_gen            2.799234e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               4.747390e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '875': aq_gen             4.059087e-01\n",
+       " gas_gen            4.315713e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.673757e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '876': aq_gen             3.286442e-01\n",
+       " gas_gen            4.221940e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.057273e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '877': aq_gen             3.297689e-01\n",
+       " gas_gen            4.697567e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.704770e-03\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '878': aq_gen             4.013030e-01\n",
+       " gas_gen            3.493337e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               5.764316e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '879': aq_gen             3.667697e-01\n",
+       " gas_gen            3.795802e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.936699e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '880': aq_gen             4.455302e-01\n",
+       " gas_gen            3.828328e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.967494e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '881': aq_gen             3.301314e-01\n",
+       " gas_gen            3.678874e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.919243e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '882': aq_gen             4.430407e-01\n",
+       " gas_gen            3.527158e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.510827e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '883': aq_gen             3.310178e-01\n",
+       " gas_gen            4.690056e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.411184e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '884': aq_gen             3.315436e-01\n",
+       " gas_gen            3.968664e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.245393e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '885': aq_gen             2.726088e-01\n",
+       " gas_gen            5.263691e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.952258e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '886': aq_gen             3.587674e-01\n",
+       " gas_gen            3.339445e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.643609e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '887': aq_gen             4.412392e-01\n",
+       " gas_gen            4.333583e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.663866e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '889': aq_gen             3.194911e-01\n",
+       " gas_gen            4.938178e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.092858e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '890': aq_gen             3.739134e-01\n",
+       " gas_gen            4.545762e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.633340e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '891': aq_gen             3.885049e-01\n",
+       " gas_gen            3.693877e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '892': aq_gen             3.995504e-01\n",
+       " gas_gen            4.149854e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '893': aq_gen             3.379876e-01\n",
+       " gas_gen            3.395474e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.085798e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '894': aq_gen             3.855316e-01\n",
+       " gas_gen            3.719340e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.183755e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '895': aq_gen             4.751048e-01\n",
+       " gas_gen            2.992363e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.680383e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '896': aq_gen             4.221072e-01\n",
+       " gas_gen            2.977550e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.756268e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '897': aq_gen             2.854454e-01\n",
+       " gas_gen            5.018391e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.634344e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '898': aq_gen             3.781694e-01\n",
+       " gas_gen            3.717407e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.094824e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '899': aq_gen             3.058359e-01\n",
+       " gas_gen            5.006833e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.345968e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '900': aq_gen             5.230337e-01\n",
+       " gas_gen            4.183591e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               7.827650e-03\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '901': aq_gen             4.840229e-01\n",
+       " gas_gen            3.938397e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.275130e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '902': aq_gen             2.987353e-01\n",
+       " gas_gen            5.513510e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               4.568701e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '903': aq_gen             4.645364e-01\n",
+       " gas_gen            3.909723e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.532473e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '904': aq_gen             5.008091e-01\n",
+       " gas_gen            3.088751e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.788037e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '905': aq_gen             3.866363e-01\n",
+       " gas_gen            3.014371e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.377030e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '906': aq_gen             3.854681e-01\n",
+       " gas_gen            3.265769e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.900614e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '907': aq_gen             4.732362e-01\n",
+       " gas_gen            3.462159e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.012125e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '908': aq_gen             4.073029e-01\n",
+       " gas_gen            3.326933e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.296086e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '909': aq_gen             3.515973e-01\n",
+       " gas_gen            4.520822e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.065401e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '910': aq_gen             3.679995e-01\n",
+       " gas_gen            4.161457e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.023696e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '911': aq_gen             3.770274e-01\n",
+       " gas_gen            3.789748e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.010158e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '912': aq_gen             3.533771e-01\n",
+       " gas_gen            3.205200e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.656738e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '914': aq_gen             3.634866e-01\n",
+       " gas_gen            3.178017e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.493191e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '915': aq_gen             3.031605e-01\n",
+       " gas_gen            4.180831e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.749362e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '917': aq_gen             3.079217e-01\n",
+       " gas_gen            5.062215e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.976327e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '918': aq_gen             3.456827e-01\n",
+       " gas_gen            4.638852e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.942040e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '919': aq_gen             3.937728e-01\n",
+       " gas_gen            4.137499e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.921099e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '920': aq_gen             4.190918e-01\n",
+       " gas_gen            3.578065e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.521866e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '921': aq_gen             3.755668e-01\n",
+       " gas_gen            3.976429e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.594660e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '922': aq_gen             2.962493e-01\n",
+       " gas_gen            4.383574e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.348610e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '924': aq_gen             3.431030e-01\n",
+       " gas_gen            3.738166e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.737428e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '925': aq_gen             4.493575e-01\n",
+       " gas_gen            4.613932e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.163887e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '927': aq_gen             3.836065e-01\n",
+       " gas_gen            3.317868e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.691903e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '928': aq_gen             2.728430e-01\n",
+       " gas_gen            5.724417e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               8.871540e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '929': aq_gen             4.898436e-01\n",
+       " gas_gen            3.100322e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.095582e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '930': aq_gen             3.819572e-01\n",
+       " gas_gen            3.979970e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.961491e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '931': aq_gen             4.149808e-01\n",
+       " gas_gen            2.936776e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.738662e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '932': aq_gen             3.791522e-01\n",
+       " gas_gen            3.286721e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.721281e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '933': aq_gen             4.083204e-01\n",
+       " gas_gen            3.548149e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '934': aq_gen             5.324980e-01\n",
+       " gas_gen            2.820971e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.847171e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '935': aq_gen             1.754938e-01\n",
+       " gas_gen            6.948888e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               5.163004e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '936': aq_gen             4.199657e-01\n",
+       " gas_gen            2.942506e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.434721e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '937': aq_gen             4.505383e-01\n",
+       " gas_gen            3.562565e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.913287e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '938': aq_gen             4.470009e-01\n",
+       " gas_gen            3.279145e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.631831e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '939': aq_gen             2.196002e-01\n",
+       " gas_gen            6.124785e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.351549e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '940': aq_gen             3.980424e-01\n",
+       " gas_gen            3.435109e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '941': aq_gen             4.280156e-01\n",
+       " gas_gen            3.680703e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.294500e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '942': aq_gen             3.268904e-01\n",
+       " gas_gen            5.132445e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.894290e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '943': aq_gen             9.649490e-02\n",
+       " gas_gen            7.441652e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               4.994177e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '944': aq_gen             4.092181e-01\n",
+       " gas_gen            3.597565e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               6.293847e-07\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '945': aq_gen             4.875721e-01\n",
+       " gas_gen            3.582201e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.276137e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '946': aq_gen             3.537825e-01\n",
+       " gas_gen            4.416409e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.544758e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '947': aq_gen             4.705833e-01\n",
+       " gas_gen            3.897280e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.068348e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '948': aq_gen             3.087685e-01\n",
+       " gas_gen            5.555335e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.490405e-03\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '950': aq_gen             4.375001e-01\n",
+       " gas_gen            3.605819e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.869634e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '951': aq_gen             3.179622e-01\n",
+       " gas_gen            3.944297e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.523910e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '952': aq_gen             4.200474e-01\n",
+       " gas_gen            3.320249e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '953': aq_gen             2.496505e-01\n",
+       " gas_gen            5.122838e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.789663e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '954': aq_gen             3.983912e-01\n",
+       " gas_gen            4.109438e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '955': aq_gen             3.661487e-01\n",
+       " gas_gen            3.803026e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.780614e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '957': aq_gen             1.931118e-01\n",
+       " gas_gen            6.142063e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               4.398307e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '959': aq_gen             2.978525e-01\n",
+       " gas_gen            5.693822e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               8.282780e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '960': aq_gen             3.535669e-01\n",
+       " gas_gen            5.174342e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.537424e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '961': aq_gen             4.073315e-01\n",
+       " gas_gen            3.571699e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '962': aq_gen             3.689263e-01\n",
+       " gas_gen            3.071709e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.136366e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '963': aq_gen             5.377085e-01\n",
+       " gas_gen            3.612786e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.738409e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '964': aq_gen             4.296850e-01\n",
+       " gas_gen            3.195790e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.693235e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '965': aq_gen             4.000353e-01\n",
+       " gas_gen            3.400827e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.550562e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '966': aq_gen             3.806235e-01\n",
+       " gas_gen            3.625261e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.271191e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '967': aq_gen             4.601261e-01\n",
+       " gas_gen            3.362559e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.092745e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '968': aq_gen             3.020363e-01\n",
+       " gas_gen            4.332187e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.301959e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '969': aq_gen             2.881481e-01\n",
+       " gas_gen            4.343112e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.906542e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '970': aq_gen             3.968520e-01\n",
+       " gas_gen            3.027178e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.026243e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '971': aq_gen             2.806641e-01\n",
+       " gas_gen            4.252914e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.755417e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '972': aq_gen             4.001498e-01\n",
+       " gas_gen            3.730269e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.900894e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '973': aq_gen             4.542064e-01\n",
+       " gas_gen            2.848126e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.921325e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '974': aq_gen             4.072751e-01\n",
+       " gas_gen            3.464567e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               5.664084e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '975': aq_gen             3.948882e-01\n",
+       " gas_gen            4.382387e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '976': aq_gen             3.540519e-01\n",
+       " gas_gen            4.724915e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.496916e-03\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '977': aq_gen             3.706759e-01\n",
+       " gas_gen            3.659965e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.131368e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '978': aq_gen             3.727895e-01\n",
+       " gas_gen            3.773806e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.889689e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '979': aq_gen             3.462589e-01\n",
+       " gas_gen            3.459053e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.870597e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '980': aq_gen             1.395138e-01\n",
+       " gas_gen            6.769327e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.988789e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '981': aq_gen             3.097155e-01\n",
+       " gas_gen            4.763626e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.732074e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '982': aq_gen             3.856418e-01\n",
+       " gas_gen            3.814905e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.845381e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '983': aq_gen             4.813734e-01\n",
+       " gas_gen            3.326635e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.171735e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '985': aq_gen             3.748129e-01\n",
+       " gas_gen            3.568122e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.795612e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '986': aq_gen             3.947881e-01\n",
+       " gas_gen            3.361189e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.606642e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '987': aq_gen             4.739777e-01\n",
+       " gas_gen            3.729126e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.069898e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '988': aq_gen             3.731496e-01\n",
+       " gas_gen            3.536302e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.892073e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '989': aq_gen             3.314452e-01\n",
+       " gas_gen            4.743553e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '990': aq_gen             3.111539e-01\n",
+       " gas_gen            4.386967e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.800966e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '991': aq_gen             3.471340e-01\n",
+       " gas_gen            4.600855e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               8.994725e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '992': aq_gen             2.536394e-01\n",
+       " gas_gen            4.629267e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.515119e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '993': aq_gen             2.549451e-01\n",
+       " gas_gen            5.533189e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.179784e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '994': aq_gen             4.047116e-01\n",
+       " gas_gen            3.066260e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.091345e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '995': aq_gen             3.526781e-01\n",
+       " gas_gen            4.092073e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.574225e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '996': aq_gen             4.265572e-01\n",
+       " gas_gen            3.428993e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.314301e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '997': aq_gen             4.360801e-01\n",
+       " gas_gen            3.552561e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '998': aq_gen             5.164780e-01\n",
+       " gas_gen            3.416435e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.101433e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '999': aq_gen             4.266453e-01\n",
+       " gas_gen            3.121271e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.517689e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64}"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pd_vol_frac"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "18b6aa25-522a-4a5f-8ab1-95cf33349a72",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "train_input_test = input.copy()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "id": "c5eafcf4-9f07-496e-b1e3-26c4b92da638",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'0': aq_gen             4.222192e-01\n",
+       " gas_gen            3.492125e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.068892e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '1': aq_gen             3.661219e-01\n",
+       " gas_gen            3.436806e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.447659e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '2': aq_gen             3.263062e-01\n",
+       " gas_gen            3.947666e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.648042e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '3': aq_gen             3.498352e-01\n",
+       " gas_gen            4.463835e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.235669e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '4': aq_gen             3.795842e-01\n",
+       " gas_gen            3.996415e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.664182e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '5': aq_gen             3.762854e-01\n",
+       " gas_gen            4.061671e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '6': aq_gen             4.108540e-01\n",
+       " gas_gen            4.027238e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.613767e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '7': aq_gen             4.875781e-01\n",
+       " gas_gen            2.932217e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.796330e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '8': aq_gen             3.938064e-01\n",
+       " gas_gen            3.477616e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.942686e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '9': aq_gen             4.655366e-01\n",
+       " gas_gen            2.980085e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.384627e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '10': aq_gen             4.640092e-01\n",
+       " gas_gen            4.533833e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '11': aq_gen             4.863178e-01\n",
+       " gas_gen            3.351425e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.213949e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '12': aq_gen             3.073878e-01\n",
+       " gas_gen            3.800748e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.384454e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '13': aq_gen             1.903038e-01\n",
+       " gas_gen            5.454850e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               4.433653e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '14': aq_gen             3.618285e-01\n",
+       " gas_gen            4.768719e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.703255e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '15': aq_gen             3.336744e-01\n",
+       " gas_gen            4.221801e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.791286e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '16': aq_gen             3.740495e-01\n",
+       " gas_gen            3.538676e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.174237e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '17': aq_gen             3.518269e-01\n",
+       " gas_gen            4.286515e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               4.120605e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '18': aq_gen             3.354068e-01\n",
+       " gas_gen            5.327405e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '19': aq_gen             4.296113e-01\n",
+       " gas_gen            3.529976e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.498359e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '20': aq_gen             2.851051e-01\n",
+       " gas_gen            4.719961e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.662386e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '21': aq_gen             4.086839e-01\n",
+       " gas_gen            2.871022e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.460613e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '22': aq_gen             3.607121e-01\n",
+       " gas_gen            3.387596e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.006287e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '23': aq_gen             3.085235e-01\n",
+       " gas_gen            5.290553e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               6.375265e-04\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '24': aq_gen             3.474011e-01\n",
+       " gas_gen            3.774013e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.172555e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '25': aq_gen             4.181267e-01\n",
+       " gas_gen            4.529349e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '27': aq_gen             3.144213e-01\n",
+       " gas_gen            4.494742e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.889244e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '28': aq_gen             4.014186e-01\n",
+       " gas_gen            2.968830e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.330658e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '29': aq_gen             5.046155e-01\n",
+       " gas_gen            3.640467e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.495516e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '30': aq_gen             2.928231e-01\n",
+       " gas_gen            3.901019e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.715421e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '31': aq_gen             3.631774e-01\n",
+       " gas_gen            3.833502e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.763876e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '32': aq_gen             3.676943e-01\n",
+       " gas_gen            3.685299e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.288472e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '33': aq_gen             3.769617e-01\n",
+       " gas_gen            3.946626e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.202725e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '34': aq_gen             2.916351e-01\n",
+       " gas_gen            4.534151e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.392712e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '35': aq_gen             2.674378e-01\n",
+       " gas_gen            4.756399e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.295622e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '36': aq_gen             3.766148e-01\n",
+       " gas_gen            4.172086e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.167535e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '37': aq_gen             3.244780e-01\n",
+       " gas_gen            4.503435e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.102006e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '38': aq_gen             4.518196e-01\n",
+       " gas_gen            4.450931e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.807241e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '39': aq_gen             4.302370e-01\n",
+       " gas_gen            3.561287e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.897469e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '40': aq_gen             3.429135e-01\n",
+       " gas_gen            4.209676e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.872807e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '41': aq_gen             4.835272e-01\n",
+       " gas_gen            3.759469e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '42': aq_gen             3.580544e-01\n",
+       " gas_gen            3.656577e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.330357e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '43': aq_gen             3.870227e-01\n",
+       " gas_gen            4.406854e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.899630e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '44': aq_gen             2.490800e-01\n",
+       " gas_gen            4.938709e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.904174e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '45': aq_gen             5.145704e-01\n",
+       " gas_gen            3.381284e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.340122e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '46': aq_gen             3.553574e-01\n",
+       " gas_gen            3.957739e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.577824e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '47': aq_gen             3.716885e-01\n",
+       " gas_gen            3.762808e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.546797e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '48': aq_gen             3.949447e-01\n",
+       " gas_gen            4.057453e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.737464e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '49': aq_gen             4.579376e-01\n",
+       " gas_gen            3.365377e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '50': aq_gen             3.166136e-01\n",
+       " gas_gen            5.010358e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.584858e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '52': aq_gen             4.538586e-01\n",
+       " gas_gen            3.714645e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.756866e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '53': aq_gen             3.772799e-01\n",
+       " gas_gen            3.406085e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.979620e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '54': aq_gen             1.420681e-01\n",
+       " gas_gen            6.470533e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.231881e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '55': aq_gen             4.050583e-01\n",
+       " gas_gen            4.776185e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.811137e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '56': aq_gen             1.471063e-01\n",
+       " gas_gen            6.342994e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               5.141435e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '57': aq_gen             4.074963e-01\n",
+       " gas_gen            3.145630e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.539422e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '58': aq_gen             3.968745e-01\n",
+       " gas_gen            5.261213e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '59': aq_gen             3.712608e-01\n",
+       " gas_gen            3.525604e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.490631e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '60': aq_gen             4.021133e-01\n",
+       " gas_gen            3.292039e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.070231e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '61': aq_gen             3.115451e-01\n",
+       " gas_gen            3.596880e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.455285e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '62': aq_gen             4.339592e-01\n",
+       " gas_gen            3.261004e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.994094e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '63': aq_gen             2.461079e-01\n",
+       " gas_gen            5.322521e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.553860e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '65': aq_gen             4.832542e-01\n",
+       " gas_gen            2.962983e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.132426e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '67': aq_gen             3.736353e-01\n",
+       " gas_gen            3.031739e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.649592e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '68': aq_gen             4.414273e-01\n",
+       " gas_gen            3.011415e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.141880e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '69': aq_gen             4.541082e-01\n",
+       " gas_gen            3.522179e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.712639e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '70': aq_gen             3.081951e-01\n",
+       " gas_gen            4.439461e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.514799e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '72': aq_gen             2.891686e-01\n",
+       " gas_gen            5.111616e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.661767e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '73': aq_gen             3.502724e-01\n",
+       " gas_gen            4.205493e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.397957e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '74': aq_gen             3.962579e-01\n",
+       " gas_gen            3.000262e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.558192e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '75': aq_gen             3.664983e-01\n",
+       " gas_gen            3.356288e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.970764e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '76': aq_gen             4.050937e-01\n",
+       " gas_gen            2.967994e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.758687e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '77': aq_gen             4.061476e-01\n",
+       " gas_gen            3.458526e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               6.628116e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '78': aq_gen             3.558200e-01\n",
+       " gas_gen            4.306238e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.059760e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '79': aq_gen             3.510528e-01\n",
+       " gas_gen            4.649450e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '80': aq_gen             4.061519e-01\n",
+       " gas_gen            3.900141e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.442639e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '81': aq_gen             3.958111e-01\n",
+       " gas_gen            3.885105e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '83': aq_gen             3.602836e-01\n",
+       " gas_gen            3.517415e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.392990e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '84': aq_gen             3.416022e-01\n",
+       " gas_gen            4.014635e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               9.677569e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '85': aq_gen             3.725906e-01\n",
+       " gas_gen            4.329546e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '86': aq_gen             3.318226e-01\n",
+       " gas_gen            4.479851e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.540632e-03\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '87': aq_gen             2.429678e-01\n",
+       " gas_gen            5.789914e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.962903e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '88': aq_gen             2.219065e-01\n",
+       " gas_gen            5.752571e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               4.186621e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '89': aq_gen             4.246809e-01\n",
+       " gas_gen            4.463762e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.302964e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '90': aq_gen             3.617758e-01\n",
+       " gas_gen            4.077736e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.249866e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '91': aq_gen             3.539830e-01\n",
+       " gas_gen            4.096089e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.599401e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '92': aq_gen             4.209158e-01\n",
+       " gas_gen            2.994418e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.831904e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '93': aq_gen             4.551141e-01\n",
+       " gas_gen            3.869320e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.520555e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '94': aq_gen             3.551995e-01\n",
+       " gas_gen            5.157701e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '95': aq_gen             4.692601e-01\n",
+       " gas_gen            3.491352e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.406974e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '96': aq_gen             2.844639e-01\n",
+       " gas_gen            4.788993e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.056999e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '97': aq_gen             3.837592e-01\n",
+       " gas_gen            4.054820e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.854372e-03\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '98': aq_gen             3.365860e-01\n",
+       " gas_gen            4.359867e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.772695e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '99': aq_gen             2.804889e-01\n",
+       " gas_gen            4.744565e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.458544e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '100': aq_gen             4.562852e-01\n",
+       " gas_gen            4.189368e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.281749e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '101': aq_gen             2.630907e-01\n",
+       " gas_gen            4.737198e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.091048e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '102': aq_gen             4.196689e-01\n",
+       " gas_gen            3.466309e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               4.925695e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '103': aq_gen             4.027003e-01\n",
+       " gas_gen            3.444988e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '104': aq_gen             4.073299e-01\n",
+       " gas_gen            3.656085e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '105': aq_gen             3.050923e-01\n",
+       " gas_gen            4.557826e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.990472e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '106': aq_gen             4.963761e-01\n",
+       " gas_gen            3.093878e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.518069e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '107': aq_gen             3.462218e-01\n",
+       " gas_gen            3.940021e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.861615e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '108': aq_gen             3.102937e-01\n",
+       " gas_gen            4.101592e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.903029e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '109': aq_gen             2.891052e-01\n",
+       " gas_gen            4.744602e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.702533e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '110': aq_gen             4.057973e-01\n",
+       " gas_gen            3.355025e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.198524e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '111': aq_gen             4.306196e-01\n",
+       " gas_gen            3.701107e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.711679e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '112': aq_gen             3.376520e-01\n",
+       " gas_gen            3.800480e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.287328e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '113': aq_gen             3.531942e-01\n",
+       " gas_gen            3.068688e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.933178e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '114': aq_gen             3.862471e-01\n",
+       " gas_gen            4.048656e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '115': aq_gen             4.452129e-01\n",
+       " gas_gen            2.914792e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.021146e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '116': aq_gen             9.809404e-02\n",
+       " gas_gen            7.360183e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               5.498804e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '117': aq_gen             3.138771e-01\n",
+       " gas_gen            4.529146e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.406837e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '118': aq_gen             3.039675e-01\n",
+       " gas_gen            5.599412e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.116861e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '119': aq_gen             3.484685e-01\n",
+       " gas_gen            5.038288e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '120': aq_gen             4.321446e-01\n",
+       " gas_gen            2.834205e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.314415e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '121': aq_gen             4.036962e-01\n",
+       " gas_gen            5.024018e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.365091e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '122': aq_gen             3.512295e-01\n",
+       " gas_gen            4.452401e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.059390e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '123': aq_gen             2.697191e-01\n",
+       " gas_gen            5.132796e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.918489e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '124': aq_gen             3.965294e-01\n",
+       " gas_gen            3.461551e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.526940e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '125': aq_gen             2.552916e-01\n",
+       " gas_gen            4.932811e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.295388e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '126': aq_gen             4.580618e-01\n",
+       " gas_gen            4.124300e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.554832e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '127': aq_gen             3.541726e-01\n",
+       " gas_gen            4.081337e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.551022e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '128': aq_gen             3.603770e-01\n",
+       " gas_gen            3.867152e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.530066e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '129': aq_gen             4.161727e-01\n",
+       " gas_gen            4.114189e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.015579e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '131': aq_gen             4.858813e-01\n",
+       " gas_gen            3.164599e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.925798e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '132': aq_gen             3.423593e-01\n",
+       " gas_gen            4.387350e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.553787e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '133': aq_gen             3.928585e-01\n",
+       " gas_gen            3.632960e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.417826e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '134': aq_gen             4.041666e-01\n",
+       " gas_gen            3.579652e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.988106e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '135': aq_gen             2.629375e-01\n",
+       " gas_gen            4.926990e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.957507e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '136': aq_gen             3.617860e-01\n",
+       " gas_gen            4.601438e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.844482e-03\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '137': aq_gen             4.224746e-01\n",
+       " gas_gen            3.299930e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '138': aq_gen             3.472349e-01\n",
+       " gas_gen            4.367579e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.347546e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '139': aq_gen             3.296078e-01\n",
+       " gas_gen            4.955158e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               4.289954e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '140': aq_gen             3.062484e-01\n",
+       " gas_gen            4.428966e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.564909e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '141': aq_gen             3.422010e-01\n",
+       " gas_gen            3.834961e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.971663e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '143': aq_gen             4.889426e-01\n",
+       " gas_gen            2.946086e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.276488e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '144': aq_gen             4.451535e-01\n",
+       " gas_gen            2.577383e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.505030e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '145': aq_gen             4.340746e-01\n",
+       " gas_gen            2.943943e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.306825e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '146': aq_gen             4.156548e-01\n",
+       " gas_gen            3.126752e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.345041e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '147': aq_gen             3.952404e-01\n",
+       " gas_gen            3.375582e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.743681e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '148': aq_gen             4.668883e-01\n",
+       " gas_gen            3.525274e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.425448e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '149': aq_gen             3.920946e-01\n",
+       " gas_gen            2.826965e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.441826e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '150': aq_gen             3.745052e-01\n",
+       " gas_gen            3.708038e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.003882e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '151': aq_gen             3.461467e-01\n",
+       " gas_gen            4.991068e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.614557e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '152': aq_gen             4.348923e-01\n",
+       " gas_gen            3.438439e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.963167e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '153': aq_gen             3.201194e-01\n",
+       " gas_gen            4.236231e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.952858e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '154': aq_gen             4.176448e-01\n",
+       " gas_gen            4.869776e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '156': aq_gen             4.118592e-01\n",
+       " gas_gen            5.110364e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '157': aq_gen             3.552435e-01\n",
+       " gas_gen            4.206370e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.488432e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '158': aq_gen             4.188816e-01\n",
+       " gas_gen            2.787259e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.348019e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '159': aq_gen             3.766661e-01\n",
+       " gas_gen            4.037009e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.079832e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '160': aq_gen             4.696568e-01\n",
+       " gas_gen            4.034248e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.738183e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '161': aq_gen             3.605231e-01\n",
+       " gas_gen            3.895286e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               6.756171e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '162': aq_gen             3.131102e-01\n",
+       " gas_gen            4.491103e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.829880e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '163': aq_gen             3.020393e-01\n",
+       " gas_gen            4.855941e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.986878e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '164': aq_gen             3.640732e-01\n",
+       " gas_gen            3.857034e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.464893e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '165': aq_gen             1.510907e-01\n",
+       " gas_gen            6.516436e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.916064e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '166': aq_gen             3.926151e-01\n",
+       " gas_gen            4.178599e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.473612e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '167': aq_gen             4.829721e-01\n",
+       " gas_gen            3.413573e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.577938e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '168': aq_gen             4.015184e-01\n",
+       " gas_gen            3.473448e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.084477e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '169': aq_gen             2.578393e-01\n",
+       " gas_gen            5.000266e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.613830e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '170': aq_gen             3.647210e-01\n",
+       " gas_gen            3.982730e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.364414e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '171': aq_gen             3.741569e-01\n",
+       " gas_gen            3.397587e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.582744e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '172': aq_gen             2.892437e-01\n",
+       " gas_gen            4.324521e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.365850e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '173': aq_gen             4.294055e-01\n",
+       " gas_gen            3.075806e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.012655e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '174': aq_gen             3.901992e-01\n",
+       " gas_gen            3.920231e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.294568e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '175': aq_gen             3.728243e-01\n",
+       " gas_gen            3.956833e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.850935e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '176': aq_gen             3.597411e-01\n",
+       " gas_gen            3.394950e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.226413e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '177': aq_gen             4.408585e-01\n",
+       " gas_gen            3.606117e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.118622e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '178': aq_gen             5.145137e-01\n",
+       " gas_gen            3.520572e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.167540e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '179': aq_gen             3.391537e-01\n",
+       " gas_gen            5.027234e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '180': aq_gen             3.336438e-01\n",
+       " gas_gen            4.595778e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.409153e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '181': aq_gen             3.885042e-01\n",
+       " gas_gen            3.561429e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.708706e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '182': aq_gen             3.906212e-01\n",
+       " gas_gen            4.589921e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '183': aq_gen             4.536286e-01\n",
+       " gas_gen            3.976239e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.551634e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '185': aq_gen             3.686971e-01\n",
+       " gas_gen            3.771431e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.751945e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '186': aq_gen             4.634071e-01\n",
+       " gas_gen            3.777280e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '187': aq_gen             3.453454e-01\n",
+       " gas_gen            4.284147e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               9.341497e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '188': aq_gen             4.319875e-01\n",
+       " gas_gen            2.929244e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               5.217558e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '189': aq_gen             4.761372e-01\n",
+       " gas_gen            2.770262e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.995523e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '190': aq_gen             5.194529e-01\n",
+       " gas_gen            4.329045e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '191': aq_gen             3.975354e-01\n",
+       " gas_gen            4.177351e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.915826e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '192': aq_gen             3.288717e-01\n",
+       " gas_gen            3.981337e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.330056e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '193': aq_gen             3.766505e-01\n",
+       " gas_gen            3.544844e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               8.150816e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '194': aq_gen             4.859454e-01\n",
+       " gas_gen            3.577825e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.687124e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '196': aq_gen             3.975488e-01\n",
+       " gas_gen            3.477097e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.577048e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '197': aq_gen             3.626846e-01\n",
+       " gas_gen            4.198755e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.906390e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '199': aq_gen             4.290229e-01\n",
+       " gas_gen            3.593115e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.261447e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '200': aq_gen             2.050418e-01\n",
+       " gas_gen            5.514746e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.656171e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '201': aq_gen             3.749003e-01\n",
+       " gas_gen            3.221916e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.419491e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '202': aq_gen             5.145598e-01\n",
+       " gas_gen            3.948520e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.195564e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '203': aq_gen             3.639805e-01\n",
+       " gas_gen            3.669761e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.277383e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '204': aq_gen             2.512628e-01\n",
+       " gas_gen            5.818050e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.892059e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '205': aq_gen             3.818037e-01\n",
+       " gas_gen            4.000324e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               5.744834e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '206': aq_gen             4.259938e-01\n",
+       " gas_gen            3.743664e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.778072e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '207': aq_gen             4.405685e-01\n",
+       " gas_gen            3.429291e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.726761e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '208': aq_gen             4.102702e-01\n",
+       " gas_gen            3.319708e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.062773e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '209': aq_gen             2.964095e-01\n",
+       " gas_gen            5.457936e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '210': aq_gen             2.808774e-01\n",
+       " gas_gen            5.085826e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.872070e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '211': aq_gen             4.720534e-01\n",
+       " gas_gen            3.587500e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.405939e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '212': aq_gen             4.491508e-01\n",
+       " gas_gen            2.641876e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.977743e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '213': aq_gen             4.402167e-01\n",
+       " gas_gen            3.490051e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.198135e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '214': aq_gen             4.993317e-01\n",
+       " gas_gen            3.129808e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.920653e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '215': aq_gen             3.060249e-01\n",
+       " gas_gen            4.052351e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.750797e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '216': aq_gen             3.871201e-01\n",
+       " gas_gen            3.804118e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               9.132734e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '217': aq_gen             4.190750e-01\n",
+       " gas_gen            3.612263e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '218': aq_gen             3.685446e-01\n",
+       " gas_gen            4.566749e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.750327e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '219': aq_gen             4.145666e-01\n",
+       " gas_gen            3.687798e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.727796e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '220': aq_gen             4.434325e-01\n",
+       " gas_gen            3.452287e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.597015e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '221': aq_gen             3.738736e-01\n",
+       " gas_gen            4.017521e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.952723e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '222': aq_gen             3.665795e-01\n",
+       " gas_gen            4.115551e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.335555e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '223': aq_gen             3.364573e-01\n",
+       " gas_gen            4.456708e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.428331e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '224': aq_gen             4.305801e-01\n",
+       " gas_gen            3.019151e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.048442e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '225': aq_gen             5.065786e-01\n",
+       " gas_gen            3.405822e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.055142e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '226': aq_gen             3.477426e-01\n",
+       " gas_gen            3.874769e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.814391e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '227': aq_gen             4.256508e-01\n",
+       " gas_gen            3.369006e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '228': aq_gen             4.341398e-01\n",
+       " gas_gen            3.647365e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '229': aq_gen             3.956442e-01\n",
+       " gas_gen            3.584853e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.319204e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '230': aq_gen             4.443330e-01\n",
+       " gas_gen            4.064424e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '231': aq_gen             4.636281e-01\n",
+       " gas_gen            3.171686e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.294405e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '232': aq_gen             3.615742e-01\n",
+       " gas_gen            3.519229e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.036710e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '233': aq_gen             3.591915e-01\n",
+       " gas_gen            3.505930e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.689509e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '234': aq_gen             3.687584e-01\n",
+       " gas_gen            3.802619e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.448827e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '235': aq_gen             4.005483e-01\n",
+       " gas_gen            3.762590e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '236': aq_gen             4.308159e-01\n",
+       " gas_gen            2.710451e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.790573e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '237': aq_gen             3.628984e-01\n",
+       " gas_gen            4.140761e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               8.602563e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '238': aq_gen             3.911958e-01\n",
+       " gas_gen            3.167929e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.853843e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '239': aq_gen             3.533018e-01\n",
+       " gas_gen            4.036575e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.512589e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '240': aq_gen             2.356460e-01\n",
+       " gas_gen            5.045792e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.510322e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '241': aq_gen             3.366340e-01\n",
+       " gas_gen            3.968889e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.809293e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '242': aq_gen             3.967104e-01\n",
+       " gas_gen            4.169986e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '243': aq_gen             4.784281e-01\n",
+       " gas_gen            2.669927e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.197198e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '244': aq_gen             3.699865e-01\n",
+       " gas_gen            4.660433e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '245': aq_gen             3.470428e-01\n",
+       " gas_gen            3.560734e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.882933e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '246': aq_gen             4.757973e-01\n",
+       " gas_gen            3.523264e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.390288e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '247': aq_gen             3.900775e-01\n",
+       " gas_gen            3.764228e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.297144e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '248': aq_gen             3.695221e-01\n",
+       " gas_gen            3.610620e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.166873e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '249': aq_gen             3.898134e-01\n",
+       " gas_gen            3.221633e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.637770e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '250': aq_gen             4.400244e-01\n",
+       " gas_gen            3.296652e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.096427e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '251': aq_gen             3.476459e-01\n",
+       " gas_gen            3.742083e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.505957e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '252': aq_gen             3.563135e-01\n",
+       " gas_gen            5.078589e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '253': aq_gen             4.416819e-01\n",
+       " gas_gen            2.702393e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.301142e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '254': aq_gen             4.016261e-01\n",
+       " gas_gen            3.249900e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.102199e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '255': aq_gen             2.806038e-01\n",
+       " gas_gen            4.443772e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.196812e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '256': aq_gen             3.538112e-01\n",
+       " gas_gen            5.109967e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '257': aq_gen             4.421136e-01\n",
+       " gas_gen            4.297371e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '258': aq_gen             3.902420e-01\n",
+       " gas_gen            3.421840e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.329388e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '259': aq_gen             3.934049e-01\n",
+       " gas_gen            4.343437e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '260': aq_gen             3.625675e-01\n",
+       " gas_gen            4.842182e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '261': aq_gen             4.343502e-01\n",
+       " gas_gen            2.897452e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.396022e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '263': aq_gen             3.571776e-01\n",
+       " gas_gen            3.820909e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.403340e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '264': aq_gen             2.112566e-01\n",
+       " gas_gen            5.722878e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.218527e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '265': aq_gen             4.486492e-01\n",
+       " gas_gen            4.296702e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '266': aq_gen             3.635068e-01\n",
+       " gas_gen            3.895201e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.316528e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '267': aq_gen             3.648650e-01\n",
+       " gas_gen            3.611734e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.700280e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '268': aq_gen             3.531507e-01\n",
+       " gas_gen            5.035749e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '269': aq_gen             3.826900e-01\n",
+       " gas_gen            3.022380e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.930020e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '270': aq_gen             3.869106e-01\n",
+       " gas_gen            3.183283e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.398723e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '271': aq_gen             3.710318e-01\n",
+       " gas_gen            4.172379e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               6.362347e-03\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '272': aq_gen             3.824493e-01\n",
+       " gas_gen            3.443697e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.137529e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '273': aq_gen             3.962587e-01\n",
+       " gas_gen            2.946260e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.609421e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '274': aq_gen             4.393588e-01\n",
+       " gas_gen            3.650962e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.968741e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '275': aq_gen             3.807967e-01\n",
+       " gas_gen            3.450391e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.079472e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '276': aq_gen             4.035605e-01\n",
+       " gas_gen            3.025505e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.516379e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '277': aq_gen             3.294482e-01\n",
+       " gas_gen            4.655709e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.280424e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '278': aq_gen             3.290413e-01\n",
+       " gas_gen            3.886071e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.094284e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '279': aq_gen             9.494785e-02\n",
+       " gas_gen            7.000973e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               5.078553e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '280': aq_gen             3.540461e-01\n",
+       " gas_gen            3.553735e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.199097e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '281': aq_gen             4.147699e-01\n",
+       " gas_gen            2.895230e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.439367e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '282': aq_gen             4.303581e-01\n",
+       " gas_gen            3.117951e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.424999e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '283': aq_gen             2.948870e-01\n",
+       " gas_gen            5.070623e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.721535e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '284': aq_gen             2.532433e-01\n",
+       " gas_gen            4.879251e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.542742e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '285': aq_gen             4.246943e-01\n",
+       " gas_gen            3.714160e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.825957e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '286': aq_gen             4.262105e-01\n",
+       " gas_gen            3.560433e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.454301e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '287': aq_gen             3.477075e-01\n",
+       " gas_gen            3.998207e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.989774e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '288': aq_gen             3.808699e-01\n",
+       " gas_gen            3.977604e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.877702e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '289': aq_gen             3.887485e-01\n",
+       " gas_gen            3.844773e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.446833e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '290': aq_gen             4.053617e-01\n",
+       " gas_gen            3.870995e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.707206e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '291': aq_gen             2.752795e-01\n",
+       " gas_gen            5.723894e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.088501e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '292': aq_gen             4.469148e-01\n",
+       " gas_gen            2.866355e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.224294e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '294': aq_gen             4.051057e-01\n",
+       " gas_gen            3.269935e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.543554e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '295': aq_gen             2.486783e-01\n",
+       " gas_gen            5.166801e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.708560e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '296': aq_gen             2.262419e-01\n",
+       " gas_gen            6.440042e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.414532e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '297': aq_gen             3.245236e-01\n",
+       " gas_gen            4.106692e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.087253e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '298': aq_gen             4.638175e-01\n",
+       " gas_gen            3.616078e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.084408e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '299': aq_gen             4.105050e-01\n",
+       " gas_gen            3.451818e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               4.893426e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '300': aq_gen             3.875608e-01\n",
+       " gas_gen            4.511296e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.830533e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '301': aq_gen             4.617782e-01\n",
+       " gas_gen            3.794980e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.347772e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '302': aq_gen             2.773618e-01\n",
+       " gas_gen            4.696072e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.281756e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '303': aq_gen             3.932755e-01\n",
+       " gas_gen            3.330137e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.078267e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '304': aq_gen             3.784262e-01\n",
+       " gas_gen            4.598796e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.374840e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '305': aq_gen             3.219549e-01\n",
+       " gas_gen            4.623097e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.535660e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '306': aq_gen             4.152454e-01\n",
+       " gas_gen            4.329533e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.670583e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '307': aq_gen             2.925857e-01\n",
+       " gas_gen            5.384604e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.587663e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '308': aq_gen             4.074255e-01\n",
+       " gas_gen            3.057592e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.474607e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '309': aq_gen             4.037488e-01\n",
+       " gas_gen            4.290397e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.397113e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '310': aq_gen             3.902242e-01\n",
+       " gas_gen            3.088220e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.701995e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '311': aq_gen             3.596560e-01\n",
+       " gas_gen            3.494051e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.312444e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '312': aq_gen             3.046151e-01\n",
+       " gas_gen            4.747706e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.927497e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '313': aq_gen             2.560629e-01\n",
+       " gas_gen            5.010966e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.922614e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '314': aq_gen             3.267087e-01\n",
+       " gas_gen            4.248185e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.063309e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '315': aq_gen             5.030029e-01\n",
+       " gas_gen            3.016016e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.061706e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '316': aq_gen             4.284511e-01\n",
+       " gas_gen            3.782860e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.454847e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '318': aq_gen             3.967449e-01\n",
+       " gas_gen            3.555933e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.819997e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '319': aq_gen             3.536780e-01\n",
+       " gas_gen            3.733565e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.121423e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '320': aq_gen             3.487107e-01\n",
+       " gas_gen            4.495210e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               7.054981e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '321': aq_gen             3.520347e-01\n",
+       " gas_gen            4.725880e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '322': aq_gen             3.644454e-01\n",
+       " gas_gen            4.739600e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.650337e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '323': aq_gen             3.446073e-01\n",
+       " gas_gen            3.676034e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.289152e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '324': aq_gen             4.303640e-01\n",
+       " gas_gen            3.806785e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.482336e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '325': aq_gen             3.526129e-01\n",
+       " gas_gen            3.762612e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.106602e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '328': aq_gen             4.375726e-01\n",
+       " gas_gen            2.920419e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.290090e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '329': aq_gen             4.900194e-01\n",
+       " gas_gen            3.650694e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.055423e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '330': aq_gen             3.463122e-01\n",
+       " gas_gen            4.758203e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.349755e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '331': aq_gen             4.340625e-01\n",
+       " gas_gen            3.384292e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '332': aq_gen             2.720050e-01\n",
+       " gas_gen            4.811452e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.175104e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '333': aq_gen             4.078203e-01\n",
+       " gas_gen            3.487563e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.448654e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '335': aq_gen             3.270767e-01\n",
+       " gas_gen            5.552451e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '336': aq_gen             3.942323e-01\n",
+       " gas_gen            3.143773e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.592412e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '337': aq_gen             3.694224e-01\n",
+       " gas_gen            4.617915e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '338': aq_gen             3.181791e-01\n",
+       " gas_gen            4.831318e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.065030e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '340': aq_gen             4.078979e-01\n",
+       " gas_gen            3.054680e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.245012e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '341': aq_gen             3.468075e-01\n",
+       " gas_gen            4.706391e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               8.846167e-05\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '342': aq_gen             3.648547e-01\n",
+       " gas_gen            3.749282e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.066730e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '343': aq_gen             4.720273e-01\n",
+       " gas_gen            3.095594e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.283508e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '344': aq_gen             2.780156e-01\n",
+       " gas_gen            4.783803e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.516478e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '345': aq_gen             3.624213e-01\n",
+       " gas_gen            3.873625e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.632113e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '346': aq_gen             3.773672e-01\n",
+       " gas_gen            3.120521e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.381602e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '347': aq_gen             3.763001e-01\n",
+       " gas_gen            3.935569e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.570939e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '348': aq_gen             2.371589e-01\n",
+       " gas_gen            5.404953e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.662008e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '349': aq_gen             4.035787e-01\n",
+       " gas_gen            4.125545e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '350': aq_gen             3.678215e-01\n",
+       " gas_gen            3.352752e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.871966e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '351': aq_gen             4.589575e-01\n",
+       " gas_gen            4.003600e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '352': aq_gen             3.556968e-01\n",
+       " gas_gen            3.758947e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.375364e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '353': aq_gen             4.402456e-01\n",
+       " gas_gen            3.344163e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.348599e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '354': aq_gen             4.134057e-01\n",
+       " gas_gen            4.548153e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '355': aq_gen             2.891532e-01\n",
+       " gas_gen            5.101740e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.108636e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '356': aq_gen             3.722151e-01\n",
+       " gas_gen            4.068022e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.033951e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '357': aq_gen             4.217367e-01\n",
+       " gas_gen            3.386763e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '358': aq_gen             2.086004e-01\n",
+       " gas_gen            5.493601e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               4.498223e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '359': aq_gen             3.520082e-01\n",
+       " gas_gen            4.720255e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.886523e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '360': aq_gen             3.849434e-01\n",
+       " gas_gen            3.020475e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.655270e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '361': aq_gen             3.675354e-01\n",
+       " gas_gen            3.204353e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.107472e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '362': aq_gen             4.973988e-01\n",
+       " gas_gen            3.502477e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.699996e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '363': aq_gen             4.052035e-01\n",
+       " gas_gen            3.388536e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               8.816392e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '364': aq_gen             4.588006e-01\n",
+       " gas_gen            3.585629e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.800928e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '365': aq_gen             4.286293e-01\n",
+       " gas_gen            3.416117e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.527531e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '366': aq_gen             3.625244e-01\n",
+       " gas_gen            3.607232e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.939702e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '367': aq_gen             4.625021e-01\n",
+       " gas_gen            2.863603e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.158516e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '368': aq_gen             3.463462e-01\n",
+       " gas_gen            4.199500e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.398993e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '369': aq_gen             3.206160e-01\n",
+       " gas_gen            5.866047e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '370': aq_gen             3.600335e-01\n",
+       " gas_gen            4.252999e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.779147e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '371': aq_gen             4.155772e-01\n",
+       " gas_gen            3.470603e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               7.389990e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '372': aq_gen             2.842556e-01\n",
+       " gas_gen            4.810241e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.879041e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '373': aq_gen             4.594715e-01\n",
+       " gas_gen            3.556365e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.294109e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '374': aq_gen             3.191500e-01\n",
+       " gas_gen            4.361303e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.489832e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '375': aq_gen             3.861533e-01\n",
+       " gas_gen            4.108862e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.431270e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '376': aq_gen             4.120339e-01\n",
+       " gas_gen            4.285476e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '377': aq_gen             4.342656e-01\n",
+       " gas_gen            2.926240e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.841010e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '378': aq_gen             4.247632e-01\n",
+       " gas_gen            4.529165e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.734144e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '379': aq_gen             4.165623e-01\n",
+       " gas_gen            3.889215e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.055643e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '380': aq_gen             3.949926e-01\n",
+       " gas_gen            3.980785e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.527412e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '381': aq_gen             3.196410e-01\n",
+       " gas_gen            4.388360e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               9.962810e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '382': aq_gen             3.854945e-01\n",
+       " gas_gen            4.416988e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.737103e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '383': aq_gen             4.513546e-01\n",
+       " gas_gen            2.723755e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.102458e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '384': aq_gen             3.299401e-01\n",
+       " gas_gen            4.348459e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.291278e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '385': aq_gen             3.819502e-01\n",
+       " gas_gen            4.196600e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.394159e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '386': aq_gen             3.853280e-01\n",
+       " gas_gen            4.202777e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '387': aq_gen             4.711296e-01\n",
+       " gas_gen            3.072983e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.232443e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '388': aq_gen             3.344460e-01\n",
+       " gas_gen            5.777719e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '389': aq_gen             3.552550e-01\n",
+       " gas_gen            3.403586e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.239417e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '390': aq_gen             3.985071e-01\n",
+       " gas_gen            3.719057e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.786783e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '391': aq_gen             3.220771e-01\n",
+       " gas_gen            4.923209e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               7.332597e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '392': aq_gen             3.205067e-01\n",
+       " gas_gen            5.100218e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.064886e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '393': aq_gen             4.153444e-01\n",
+       " gas_gen            3.826214e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.326034e-06\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '394': aq_gen             5.047993e-01\n",
+       " gas_gen            3.854305e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.395588e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '395': aq_gen             1.807493e-01\n",
+       " gas_gen            6.363213e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.607309e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '396': aq_gen             2.323566e-01\n",
+       " gas_gen            5.565404e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.682651e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '397': aq_gen             3.933492e-01\n",
+       " gas_gen            4.284833e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.330522e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '398': aq_gen             4.168749e-01\n",
+       " gas_gen            4.475985e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.970115e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '399': aq_gen             4.123926e-01\n",
+       " gas_gen            3.910163e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.024826e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '400': aq_gen             4.640175e-01\n",
+       " gas_gen            3.032008e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.133413e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '401': aq_gen             3.919433e-01\n",
+       " gas_gen            3.721565e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.578435e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '402': aq_gen             5.192771e-01\n",
+       " gas_gen            4.481074e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '403': aq_gen             3.615350e-01\n",
+       " gas_gen            4.540452e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '404': aq_gen             4.749926e-01\n",
+       " gas_gen            3.818817e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.078169e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '405': aq_gen             4.266253e-01\n",
+       " gas_gen            3.476974e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.051534e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '406': aq_gen             3.222405e-01\n",
+       " gas_gen            4.221321e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.609810e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '407': aq_gen             3.715629e-01\n",
+       " gas_gen            4.017948e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.594323e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '408': aq_gen             4.010463e-01\n",
+       " gas_gen            3.925397e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.482188e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '409': aq_gen             3.291803e-01\n",
+       " gas_gen            4.548644e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.059405e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '410': aq_gen             3.292945e-01\n",
+       " gas_gen            4.520420e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.305784e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '411': aq_gen             4.347369e-01\n",
+       " gas_gen            2.820343e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.207554e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '413': aq_gen             4.035763e-01\n",
+       " gas_gen            3.730921e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               6.566926e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '414': aq_gen             2.432462e-01\n",
+       " gas_gen            5.983584e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.603597e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '415': aq_gen             3.242402e-01\n",
+       " gas_gen            4.174868e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.477439e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '416': aq_gen             4.541818e-01\n",
+       " gas_gen            3.246047e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.124942e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '417': aq_gen             3.511819e-01\n",
+       " gas_gen            5.024049e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '418': aq_gen             3.679886e-01\n",
+       " gas_gen            3.501179e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.866177e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '419': aq_gen             3.796137e-01\n",
+       " gas_gen            4.478968e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.749575e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '420': aq_gen             3.182632e-01\n",
+       " gas_gen            4.797083e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               9.327308e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '421': aq_gen             4.090880e-01\n",
+       " gas_gen            3.676773e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '422': aq_gen             3.520096e-01\n",
+       " gas_gen            5.239753e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '423': aq_gen             3.418354e-01\n",
+       " gas_gen            4.193255e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.525864e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '424': aq_gen             4.485654e-01\n",
+       " gas_gen            3.180373e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.614684e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '425': aq_gen             3.686773e-01\n",
+       " gas_gen            3.212157e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.735877e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '426': aq_gen             3.923106e-01\n",
+       " gas_gen            3.823508e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '427': aq_gen             4.360293e-01\n",
+       " gas_gen            3.016663e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.443495e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '428': aq_gen             3.796214e-01\n",
+       " gas_gen            3.388295e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.955537e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '429': aq_gen             4.212447e-01\n",
+       " gas_gen            3.424832e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.585563e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '430': aq_gen             2.531194e-01\n",
+       " gas_gen            5.992503e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.192577e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '431': aq_gen             4.630091e-01\n",
+       " gas_gen            3.654259e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.389444e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '432': aq_gen             4.608410e-01\n",
+       " gas_gen            4.103811e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.495331e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '433': aq_gen             3.189560e-01\n",
+       " gas_gen            3.818370e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.363774e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '434': aq_gen             3.486883e-01\n",
+       " gas_gen            4.234738e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.378459e-03\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '435': aq_gen             4.776556e-01\n",
+       " gas_gen            3.632317e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '436': aq_gen             4.733835e-01\n",
+       " gas_gen            3.906592e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.245973e-03\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '437': aq_gen             3.881356e-01\n",
+       " gas_gen            3.377730e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.464567e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '438': aq_gen             3.704539e-01\n",
+       " gas_gen            3.499733e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.716041e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '439': aq_gen             3.486743e-01\n",
+       " gas_gen            3.860775e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.865741e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '440': aq_gen             5.035744e-01\n",
+       " gas_gen            3.210370e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.163724e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '441': aq_gen             4.189964e-01\n",
+       " gas_gen            3.005907e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.730886e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '442': aq_gen             3.969140e-01\n",
+       " gas_gen            2.911418e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.316476e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '443': aq_gen             4.014924e-01\n",
+       " gas_gen            3.660684e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.474796e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '444': aq_gen             3.112786e-01\n",
+       " gas_gen            4.657289e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.028415e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '446': aq_gen             3.911965e-01\n",
+       " gas_gen            3.285173e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.738253e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '447': aq_gen             4.052457e-01\n",
+       " gas_gen            4.142380e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.089112e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '448': aq_gen             4.225779e-01\n",
+       " gas_gen            2.858967e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.612499e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '449': aq_gen             3.617117e-01\n",
+       " gas_gen            4.568250e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.084442e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '450': aq_gen             4.106226e-01\n",
+       " gas_gen            2.953452e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.773425e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '451': aq_gen             3.843625e-01\n",
+       " gas_gen            3.714119e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.417859e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '453': aq_gen             3.455739e-01\n",
+       " gas_gen            4.862089e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.391243e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '455': aq_gen             3.098052e-01\n",
+       " gas_gen            4.461145e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.737826e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '456': aq_gen             3.679176e-01\n",
+       " gas_gen            4.371869e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '457': aq_gen             2.402446e-01\n",
+       " gas_gen            5.010166e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.353308e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '458': aq_gen             1.531666e-01\n",
+       " gas_gen            6.908897e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               4.354760e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '459': aq_gen             1.987145e-01\n",
+       " gas_gen            5.945318e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               4.521174e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '460': aq_gen             3.832158e-01\n",
+       " gas_gen            4.443287e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '461': aq_gen             2.838052e-01\n",
+       " gas_gen            4.853400e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.083284e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '462': aq_gen             3.398440e-01\n",
+       " gas_gen            4.012751e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.179884e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '463': aq_gen             3.939933e-01\n",
+       " gas_gen            3.346887e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.508843e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '464': aq_gen             3.546924e-01\n",
+       " gas_gen            4.253653e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.232607e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '465': aq_gen             3.788177e-01\n",
+       " gas_gen            4.215450e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.320718e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '466': aq_gen             4.602784e-01\n",
+       " gas_gen            3.262383e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.217986e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '467': aq_gen             4.729390e-01\n",
+       " gas_gen            2.856580e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.153016e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '468': aq_gen             2.803555e-01\n",
+       " gas_gen            5.980894e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.436214e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '469': aq_gen             4.358471e-01\n",
+       " gas_gen            4.422419e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '470': aq_gen             4.659673e-01\n",
+       " gas_gen            3.015694e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.425646e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '471': aq_gen             4.134276e-01\n",
+       " gas_gen            2.829582e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.393860e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '472': aq_gen             4.352158e-01\n",
+       " gas_gen            3.365206e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.270401e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '473': aq_gen             2.305457e-01\n",
+       " gas_gen            5.282930e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.274321e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '474': aq_gen             2.924585e-01\n",
+       " gas_gen            4.747483e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.946681e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '475': aq_gen             4.102448e-01\n",
+       " gas_gen            3.632528e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.960060e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '476': aq_gen             2.290599e-01\n",
+       " gas_gen            6.397984e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.535341e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '478': aq_gen             3.841958e-01\n",
+       " gas_gen            3.799924e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.521024e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '479': aq_gen             4.482206e-01\n",
+       " gas_gen            4.205878e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.500780e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '480': aq_gen             3.817692e-01\n",
+       " gas_gen            3.660062e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.069752e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '481': aq_gen             3.751787e-01\n",
+       " gas_gen            3.280093e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.931282e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '482': aq_gen             3.342296e-01\n",
+       " gas_gen            3.833990e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.366733e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '483': aq_gen             3.732006e-01\n",
+       " gas_gen            4.022945e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '484': aq_gen             3.613389e-01\n",
+       " gas_gen            3.357295e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.302885e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '485': aq_gen             3.619495e-01\n",
+       " gas_gen            3.434508e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.787448e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '486': aq_gen             3.671901e-01\n",
+       " gas_gen            3.779825e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.723581e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '487': aq_gen             2.898662e-01\n",
+       " gas_gen            4.531483e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.631325e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '488': aq_gen             2.785717e-01\n",
+       " gas_gen            5.759885e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               4.143695e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '489': aq_gen             3.353994e-01\n",
+       " gas_gen            4.846750e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.463422e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '490': aq_gen             4.613105e-01\n",
+       " gas_gen            2.650617e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.998786e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '491': aq_gen             4.383064e-01\n",
+       " gas_gen            3.262254e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.206399e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '492': aq_gen             4.731306e-01\n",
+       " gas_gen            4.069884e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.592234e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '493': aq_gen             2.864580e-01\n",
+       " gas_gen            4.389785e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.996298e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '494': aq_gen             4.229533e-01\n",
+       " gas_gen            2.884952e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.627757e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '495': aq_gen             3.313353e-01\n",
+       " gas_gen            4.735901e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               6.531619e-03\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '496': aq_gen             3.107564e-01\n",
+       " gas_gen            4.896091e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               5.635728e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '497': aq_gen             3.601497e-01\n",
+       " gas_gen            3.321189e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.763474e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '498': aq_gen             3.940037e-01\n",
+       " gas_gen            3.648526e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.885474e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '499': aq_gen             4.450761e-01\n",
+       " gas_gen            2.675636e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.356349e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '500': aq_gen             3.990036e-01\n",
+       " gas_gen            3.938728e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '501': aq_gen             3.685431e-01\n",
+       " gas_gen            4.526518e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '502': aq_gen             3.540563e-01\n",
+       " gas_gen            4.038371e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.858675e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '503': aq_gen             4.136799e-01\n",
+       " gas_gen            3.458455e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.160224e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '504': aq_gen             4.323515e-01\n",
+       " gas_gen            3.760513e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.423925e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '505': aq_gen             3.906353e-01\n",
+       " gas_gen            3.462412e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.350002e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '507': aq_gen             4.212995e-01\n",
+       " gas_gen            3.621382e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.185374e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '508': aq_gen             4.402429e-01\n",
+       " gas_gen            3.499965e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.569321e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '509': aq_gen             2.511845e-01\n",
+       " gas_gen            5.242358e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.514023e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '510': aq_gen             2.680153e-01\n",
+       " gas_gen            5.297941e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.252470e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '511': aq_gen             4.090301e-01\n",
+       " gas_gen            3.666467e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               4.645592e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '512': aq_gen             3.909181e-01\n",
+       " gas_gen            3.197922e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.395567e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '514': aq_gen             1.838143e-01\n",
+       " gas_gen            5.826435e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               4.424263e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '515': aq_gen             3.628156e-01\n",
+       " gas_gen            3.989143e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.203315e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '516': aq_gen             4.574878e-01\n",
+       " gas_gen            3.723901e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.080090e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '517': aq_gen             4.012537e-01\n",
+       " gas_gen            3.724242e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.686377e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '518': aq_gen             4.249226e-01\n",
+       " gas_gen            3.305285e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '520': aq_gen             3.802683e-01\n",
+       " gas_gen            4.827381e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '521': aq_gen             3.753594e-01\n",
+       " gas_gen            3.728254e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.931838e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '522': aq_gen             1.769489e-01\n",
+       " gas_gen            6.257020e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               4.517989e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '523': aq_gen             4.398988e-01\n",
+       " gas_gen            3.282733e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.371505e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '524': aq_gen             3.250258e-01\n",
+       " gas_gen            4.606739e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               6.550721e-03\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '526': aq_gen             4.398569e-01\n",
+       " gas_gen            3.994504e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.818230e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '527': aq_gen             3.693406e-01\n",
+       " gas_gen            3.523069e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               9.455622e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '528': aq_gen             3.170796e-01\n",
+       " gas_gen            4.721602e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.937435e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '529': aq_gen             3.733342e-01\n",
+       " gas_gen            3.669495e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.858270e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '530': aq_gen             2.915260e-01\n",
+       " gas_gen            4.669042e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.325581e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '531': aq_gen             4.011387e-01\n",
+       " gas_gen            3.634688e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               6.315313e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '532': aq_gen             2.736981e-01\n",
+       " gas_gen            4.685815e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.721713e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '533': aq_gen             3.279936e-01\n",
+       " gas_gen            5.405693e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '534': aq_gen             3.556945e-01\n",
+       " gas_gen            3.487844e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.536842e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '535': aq_gen             3.826197e-01\n",
+       " gas_gen            3.139315e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.792767e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '536': aq_gen             3.100478e-01\n",
+       " gas_gen            3.991695e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.787925e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '538': aq_gen             3.536506e-01\n",
+       " gas_gen            4.402006e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '539': aq_gen             3.828718e-01\n",
+       " gas_gen            3.687246e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               9.166699e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '540': aq_gen             2.118443e-01\n",
+       " gas_gen            6.046765e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.928866e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '541': aq_gen             4.480505e-01\n",
+       " gas_gen            3.149685e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.229164e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '542': aq_gen             1.357917e-01\n",
+       " gas_gen            6.891046e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               4.013329e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '543': aq_gen             3.155769e-01\n",
+       " gas_gen            4.422298e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.014710e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '544': aq_gen             3.910647e-01\n",
+       " gas_gen            4.409127e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.099463e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '545': aq_gen             4.096170e-01\n",
+       " gas_gen            4.579874e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '546': aq_gen             3.407371e-01\n",
+       " gas_gen            4.818678e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.424784e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '547': aq_gen             3.774477e-01\n",
+       " gas_gen            3.979738e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               4.088066e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '548': aq_gen             3.874293e-01\n",
+       " gas_gen            3.729417e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.639368e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '549': aq_gen             4.061762e-01\n",
+       " gas_gen            3.753152e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '550': aq_gen             4.051344e-01\n",
+       " gas_gen            4.228167e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.003825e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '551': aq_gen             2.873473e-01\n",
+       " gas_gen            4.860244e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               8.777788e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '552': aq_gen             4.258359e-01\n",
+       " gas_gen            4.077621e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.086556e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '553': aq_gen             3.702473e-01\n",
+       " gas_gen            3.560433e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.418541e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '554': aq_gen             3.103679e-01\n",
+       " gas_gen            4.127691e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.065704e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '556': aq_gen             4.187620e-01\n",
+       " gas_gen            3.728364e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.183848e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '557': aq_gen             5.169742e-01\n",
+       " gas_gen            2.819900e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.036903e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '558': aq_gen             2.787380e-01\n",
+       " gas_gen            6.373997e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               5.932263e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '559': aq_gen             4.438241e-01\n",
+       " gas_gen            3.326239e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.175919e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '560': aq_gen             4.047155e-01\n",
+       " gas_gen            3.413672e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.326067e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '561': aq_gen             2.164724e-01\n",
+       " gas_gen            5.683066e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.878109e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '562': aq_gen             4.383458e-01\n",
+       " gas_gen            2.904916e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.511003e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '563': aq_gen             4.879061e-01\n",
+       " gas_gen            3.334964e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.210628e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '564': aq_gen             3.658390e-01\n",
+       " gas_gen            3.646748e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.154630e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '565': aq_gen             3.720549e-01\n",
+       " gas_gen            4.664047e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '566': aq_gen             3.588135e-01\n",
+       " gas_gen            4.435342e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '567': aq_gen             4.833404e-01\n",
+       " gas_gen            3.955367e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.515972e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '568': aq_gen             4.459787e-01\n",
+       " gas_gen            3.279237e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '570': aq_gen             4.355696e-01\n",
+       " gas_gen            3.737991e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '571': aq_gen             3.371316e-01\n",
+       " gas_gen            4.664733e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.745537e-03\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '572': aq_gen             2.789274e-01\n",
+       " gas_gen            4.995009e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               6.161168e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '574': aq_gen             4.236615e-01\n",
+       " gas_gen            2.893524e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               5.854453e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '575': aq_gen             3.950536e-01\n",
+       " gas_gen            3.040249e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.748827e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '576': aq_gen             3.585353e-01\n",
+       " gas_gen            3.659597e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.215055e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '577': aq_gen             4.179247e-01\n",
+       " gas_gen            3.606521e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '579': aq_gen             3.272785e-01\n",
+       " gas_gen            4.129073e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.874704e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '580': aq_gen             4.183165e-01\n",
+       " gas_gen            2.910464e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.192089e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '581': aq_gen             4.119673e-01\n",
+       " gas_gen            4.176025e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.673046e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '582': aq_gen             4.558719e-01\n",
+       " gas_gen            2.876139e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.172709e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '583': aq_gen             3.413078e-01\n",
+       " gas_gen            4.210865e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.844342e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '584': aq_gen             3.747870e-01\n",
+       " gas_gen            3.640994e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               6.118811e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '585': aq_gen             4.084043e-01\n",
+       " gas_gen            3.539861e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '587': aq_gen             2.425531e-01\n",
+       " gas_gen            5.750222e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.867639e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '588': aq_gen             4.038435e-01\n",
+       " gas_gen            4.136962e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.187696e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '589': aq_gen             4.096345e-01\n",
+       " gas_gen            3.330140e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               6.607370e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '590': aq_gen             3.343699e-01\n",
+       " gas_gen            3.715305e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.730704e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '591': aq_gen             3.414406e-01\n",
+       " gas_gen            4.062460e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.740417e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '592': aq_gen             2.839680e-01\n",
+       " gas_gen            4.600203e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.403551e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '593': aq_gen             3.732049e-01\n",
+       " gas_gen            4.349599e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '594': aq_gen             4.742430e-01\n",
+       " gas_gen            3.996744e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               6.141302e-03\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '595': aq_gen             2.831726e-01\n",
+       " gas_gen            4.339275e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.583904e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '596': aq_gen             3.890586e-01\n",
+       " gas_gen            4.547125e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '597': aq_gen             3.990623e-01\n",
+       " gas_gen            4.219047e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.136695e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '598': aq_gen             4.169005e-01\n",
+       " gas_gen            2.824153e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.386337e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '599': aq_gen             4.180952e-01\n",
+       " gas_gen            3.357805e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '600': aq_gen             4.475159e-01\n",
+       " gas_gen            3.087649e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.644274e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '601': aq_gen             3.518102e-01\n",
+       " gas_gen            3.473520e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.947401e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '602': aq_gen             4.090208e-01\n",
+       " gas_gen            3.202910e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.564338e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '603': aq_gen             4.592472e-01\n",
+       " gas_gen            2.863948e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.150258e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '604': aq_gen             4.605958e-01\n",
+       " gas_gen            2.919207e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.065614e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '605': aq_gen             3.713495e-01\n",
+       " gas_gen            3.592815e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.891999e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '606': aq_gen             4.093096e-01\n",
+       " gas_gen            3.457838e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '607': aq_gen             4.152022e-01\n",
+       " gas_gen            4.317316e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.321172e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '608': aq_gen             3.767482e-01\n",
+       " gas_gen            4.083389e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.786858e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '609': aq_gen             4.050052e-01\n",
+       " gas_gen            4.396634e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.770810e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '611': aq_gen             4.114204e-01\n",
+       " gas_gen            3.415876e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.456456e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '612': aq_gen             1.796608e-01\n",
+       " gas_gen            6.073120e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               4.185203e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '613': aq_gen             3.700281e-01\n",
+       " gas_gen            3.263001e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.668284e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '614': aq_gen             3.046487e-01\n",
+       " gas_gen            4.485223e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.716753e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '615': aq_gen             3.938368e-01\n",
+       " gas_gen            3.552044e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '616': aq_gen             3.666948e-01\n",
+       " gas_gen            3.844971e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.666917e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '617': aq_gen             3.883811e-01\n",
+       " gas_gen            3.062128e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.473927e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '618': aq_gen             3.592881e-01\n",
+       " gas_gen            4.081529e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               8.051452e-03\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '619': aq_gen             3.967548e-01\n",
+       " gas_gen            2.930511e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.527584e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '620': aq_gen             3.032356e-01\n",
+       " gas_gen            4.356094e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.642849e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '621': aq_gen             4.080918e-01\n",
+       " gas_gen            3.045753e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.651931e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '622': aq_gen             3.946671e-01\n",
+       " gas_gen            3.792041e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '623': aq_gen             4.056020e-01\n",
+       " gas_gen            3.093821e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.501995e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '624': aq_gen             4.226392e-01\n",
+       " gas_gen            4.360875e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.381122e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '625': aq_gen             3.142860e-01\n",
+       " gas_gen            4.856136e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.815038e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '626': aq_gen             4.203081e-01\n",
+       " gas_gen            3.309877e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '627': aq_gen             3.526155e-01\n",
+       " gas_gen            4.383169e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.066841e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '628': aq_gen             4.128846e-01\n",
+       " gas_gen            3.077092e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.992366e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '629': aq_gen             4.265516e-01\n",
+       " gas_gen            3.117092e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.023399e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '630': aq_gen             4.094221e-01\n",
+       " gas_gen            2.852913e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.208690e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '631': aq_gen             3.382977e-01\n",
+       " gas_gen            4.201391e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               9.973833e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '632': aq_gen             3.305972e-01\n",
+       " gas_gen            3.859993e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.672757e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '633': aq_gen             4.203895e-01\n",
+       " gas_gen            3.611028e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.298688e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '634': aq_gen             3.868861e-01\n",
+       " gas_gen            3.372215e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.588744e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '635': aq_gen             3.116627e-01\n",
+       " gas_gen            5.079863e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.953717e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '636': aq_gen             3.961994e-01\n",
+       " gas_gen            3.790389e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '637': aq_gen             3.755382e-01\n",
+       " gas_gen            3.736373e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.081579e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '638': aq_gen             3.865585e-01\n",
+       " gas_gen            3.337043e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.587356e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '639': aq_gen             3.822218e-01\n",
+       " gas_gen            3.991162e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.213127e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '641': aq_gen             3.853875e-01\n",
+       " gas_gen            3.025663e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.573888e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '643': aq_gen             3.993221e-01\n",
+       " gas_gen            3.063788e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.043062e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '644': aq_gen             3.871694e-01\n",
+       " gas_gen            4.362278e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.378500e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '645': aq_gen             4.640612e-01\n",
+       " gas_gen            4.174524e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '646': aq_gen             3.442794e-01\n",
+       " gas_gen            4.309201e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.820250e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '647': aq_gen             3.435759e-01\n",
+       " gas_gen            4.593585e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.184051e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '648': aq_gen             4.071411e-01\n",
+       " gas_gen            3.423170e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.231858e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '650': aq_gen             5.017768e-01\n",
+       " gas_gen            3.210382e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.109512e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '651': aq_gen             4.229337e-01\n",
+       " gas_gen            4.361918e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.506162e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '652': aq_gen             3.204906e-01\n",
+       " gas_gen            3.982066e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.153277e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '653': aq_gen             2.667669e-01\n",
+       " gas_gen            4.827764e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.185126e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '654': aq_gen             3.402676e-01\n",
+       " gas_gen            3.954161e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.431841e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '655': aq_gen             3.233518e-01\n",
+       " gas_gen            4.074540e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.444758e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '656': aq_gen             3.753414e-01\n",
+       " gas_gen            4.942534e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.756118e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '657': aq_gen             2.803533e-01\n",
+       " gas_gen            4.528430e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.242188e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '658': aq_gen             4.483244e-01\n",
+       " gas_gen            3.638014e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.539660e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '659': aq_gen             4.436895e-01\n",
+       " gas_gen            2.863864e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.363435e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '660': aq_gen             3.458226e-01\n",
+       " gas_gen            3.993771e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.467361e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '661': aq_gen             3.676808e-01\n",
+       " gas_gen            3.503182e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.761719e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '662': aq_gen             3.637756e-01\n",
+       " gas_gen            3.655522e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.912421e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '663': aq_gen             3.282515e-01\n",
+       " gas_gen            4.387019e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               7.840012e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '664': aq_gen             4.759889e-01\n",
+       " gas_gen            2.690031e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.216396e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '665': aq_gen             3.655282e-01\n",
+       " gas_gen            3.889316e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.093637e-03\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '666': aq_gen             4.005653e-01\n",
+       " gas_gen            3.402733e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               9.680890e-03\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '667': aq_gen             3.628399e-01\n",
+       " gas_gen            3.645307e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.274415e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '668': aq_gen             3.544216e-01\n",
+       " gas_gen            5.233432e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '669': aq_gen             3.274632e-01\n",
+       " gas_gen            5.305916e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '670': aq_gen             4.490525e-01\n",
+       " gas_gen            4.455583e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.247571e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '671': aq_gen             4.119949e-01\n",
+       " gas_gen            3.401739e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '672': aq_gen             3.784224e-01\n",
+       " gas_gen            3.283304e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.000738e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '673': aq_gen             2.817860e-01\n",
+       " gas_gen            5.168915e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.204686e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '674': aq_gen             3.614793e-01\n",
+       " gas_gen            4.397078e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '675': aq_gen             4.411968e-01\n",
+       " gas_gen            3.882664e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.760696e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '676': aq_gen             4.116524e-01\n",
+       " gas_gen            2.794095e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.783813e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '677': aq_gen             1.354483e-01\n",
+       " gas_gen            6.077487e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               4.184822e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '678': aq_gen             3.817519e-01\n",
+       " gas_gen            3.107439e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.788015e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '679': aq_gen             3.934693e-01\n",
+       " gas_gen            3.630172e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '680': aq_gen             4.139957e-01\n",
+       " gas_gen            3.596881e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               6.929368e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '681': aq_gen             4.054969e-01\n",
+       " gas_gen            3.842130e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '682': aq_gen             4.109097e-01\n",
+       " gas_gen            3.692886e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '683': aq_gen             3.723415e-01\n",
+       " gas_gen            3.844648e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               8.820311e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '685': aq_gen             3.693159e-01\n",
+       " gas_gen            5.019495e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.899853e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '686': aq_gen             3.772814e-01\n",
+       " gas_gen            3.056881e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.989854e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '687': aq_gen             4.096572e-01\n",
+       " gas_gen            3.160411e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               4.936386e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '688': aq_gen             4.806421e-01\n",
+       " gas_gen            3.385366e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.275901e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '689': aq_gen             4.572603e-01\n",
+       " gas_gen            3.454281e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.342689e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '690': aq_gen             3.090646e-01\n",
+       " gas_gen            4.015151e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.898068e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '691': aq_gen             2.052416e-01\n",
+       " gas_gen            5.150746e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               4.555048e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '692': aq_gen             3.704129e-01\n",
+       " gas_gen            3.798519e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.470292e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '693': aq_gen             4.540330e-01\n",
+       " gas_gen            3.896331e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.394959e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '694': aq_gen             3.997473e-01\n",
+       " gas_gen            3.517160e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '695': aq_gen             3.587782e-01\n",
+       " gas_gen            4.477433e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '696': aq_gen             3.862102e-01\n",
+       " gas_gen            3.448106e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.493993e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '697': aq_gen             3.663111e-01\n",
+       " gas_gen            4.452680e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.892306e-03\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '698': aq_gen             2.494562e-01\n",
+       " gas_gen            5.586037e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.881131e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '699': aq_gen             4.092296e-01\n",
+       " gas_gen            3.483355e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '700': aq_gen             3.681354e-01\n",
+       " gas_gen            3.423674e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.479350e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '701': aq_gen             3.064184e-01\n",
+       " gas_gen            4.392225e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.641936e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '702': aq_gen             3.195351e-01\n",
+       " gas_gen            4.016695e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.549193e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '703': aq_gen             2.732908e-01\n",
+       " gas_gen            5.002734e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.870119e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '704': aq_gen             3.003113e-01\n",
+       " gas_gen            4.634250e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.832821e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '705': aq_gen             3.709168e-01\n",
+       " gas_gen            4.381074e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '706': aq_gen             2.735732e-01\n",
+       " gas_gen            5.689158e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               4.008334e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '707': aq_gen             5.080039e-01\n",
+       " gas_gen            3.579192e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.516062e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '708': aq_gen             2.553055e-01\n",
+       " gas_gen            5.172785e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.308073e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '709': aq_gen             3.666547e-01\n",
+       " gas_gen            4.794279e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.677584e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '710': aq_gen             3.387328e-01\n",
+       " gas_gen            3.739649e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.648081e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '711': aq_gen             3.954553e-01\n",
+       " gas_gen            3.507233e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '712': aq_gen             3.545548e-01\n",
+       " gas_gen            4.295013e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.425930e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '713': aq_gen             2.639782e-01\n",
+       " gas_gen            4.745169e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.325066e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '714': aq_gen             3.407441e-01\n",
+       " gas_gen            3.802802e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.032116e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '715': aq_gen             3.926505e-01\n",
+       " gas_gen            3.115360e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.593724e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '716': aq_gen             3.384567e-01\n",
+       " gas_gen            3.683837e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.956791e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '717': aq_gen             3.585882e-01\n",
+       " gas_gen            3.703220e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.175543e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '718': aq_gen             3.715109e-01\n",
+       " gas_gen            3.178324e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.660777e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '719': aq_gen             4.035108e-01\n",
+       " gas_gen            3.642666e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '720': aq_gen             4.523992e-01\n",
+       " gas_gen            4.234885e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.262282e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '721': aq_gen             2.686245e-01\n",
+       " gas_gen            5.547698e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.004388e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '722': aq_gen             3.116313e-01\n",
+       " gas_gen            4.509443e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.029431e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '723': aq_gen             3.147678e-01\n",
+       " gas_gen            4.190278e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.683921e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '724': aq_gen             3.164206e-01\n",
+       " gas_gen            4.394236e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.791428e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '725': aq_gen             3.242962e-01\n",
+       " gas_gen            4.237781e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.188617e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '726': aq_gen             3.646689e-01\n",
+       " gas_gen            4.753761e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               4.661292e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '727': aq_gen             3.934941e-01\n",
+       " gas_gen            3.957541e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '728': aq_gen             3.217573e-01\n",
+       " gas_gen            5.110125e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.209316e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '729': aq_gen             4.138411e-01\n",
+       " gas_gen            3.500464e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.884909e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '730': aq_gen             3.290344e-01\n",
+       " gas_gen            4.195583e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.055587e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '731': aq_gen             4.171149e-01\n",
+       " gas_gen            2.858256e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.998077e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '732': aq_gen             4.506164e-01\n",
+       " gas_gen            3.078712e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.405744e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '733': aq_gen             3.278325e-01\n",
+       " gas_gen            5.060242e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '734': aq_gen             3.954146e-01\n",
+       " gas_gen            4.271091e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.623194e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '735': aq_gen             3.140514e-01\n",
+       " gas_gen            4.394434e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.245148e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '736': aq_gen             3.140830e-01\n",
+       " gas_gen            5.463417e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.936356e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '737': aq_gen             3.775194e-01\n",
+       " gas_gen            3.977855e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.100599e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '738': aq_gen             4.205823e-01\n",
+       " gas_gen            3.408537e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.775112e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '739': aq_gen             4.130798e-01\n",
+       " gas_gen            3.516132e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '740': aq_gen             4.272026e-01\n",
+       " gas_gen            3.324782e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.511958e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '741': aq_gen             2.880842e-01\n",
+       " gas_gen            5.210701e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.901050e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '742': aq_gen             3.253266e-01\n",
+       " gas_gen            4.234839e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.538280e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '743': aq_gen             3.596519e-01\n",
+       " gas_gen            3.567706e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.489633e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '744': aq_gen             2.587505e-01\n",
+       " gas_gen            5.016015e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.733074e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '745': aq_gen             1.545292e-01\n",
+       " gas_gen            6.344626e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               4.191507e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '746': aq_gen             2.215651e-01\n",
+       " gas_gen            5.984894e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               4.166240e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '747': aq_gen             3.174876e-01\n",
+       " gas_gen            4.320817e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.650388e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '748': aq_gen             3.162476e-01\n",
+       " gas_gen            4.732352e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               9.379449e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '749': aq_gen             4.494347e-01\n",
+       " gas_gen            2.761456e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.605804e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '750': aq_gen             4.295545e-01\n",
+       " gas_gen            4.375066e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.686967e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '752': aq_gen             3.748251e-01\n",
+       " gas_gen            3.690377e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.421025e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '753': aq_gen             3.096930e-01\n",
+       " gas_gen            4.309592e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.586162e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '754': aq_gen             4.486053e-01\n",
+       " gas_gen            3.524523e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.845581e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '755': aq_gen             3.446247e-01\n",
+       " gas_gen            4.333730e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               9.081001e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '756': aq_gen             4.242148e-01\n",
+       " gas_gen            3.013874e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               4.049244e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '757': aq_gen             4.817052e-01\n",
+       " gas_gen            3.721250e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.329631e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '758': aq_gen             2.803756e-01\n",
+       " gas_gen            5.068411e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.517506e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '760': aq_gen             4.256463e-01\n",
+       " gas_gen            5.144780e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '761': aq_gen             3.821298e-01\n",
+       " gas_gen            3.416173e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               8.756973e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '762': aq_gen             3.170235e-01\n",
+       " gas_gen            5.716448e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.715263e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '763': aq_gen             2.131974e-01\n",
+       " gas_gen            6.149251e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               4.060020e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '764': aq_gen             4.377888e-01\n",
+       " gas_gen            4.760247e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.888061e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '765': aq_gen             4.183640e-01\n",
+       " gas_gen            3.160326e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '766': aq_gen             4.466633e-01\n",
+       " gas_gen            3.994581e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.318882e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '767': aq_gen             3.407687e-01\n",
+       " gas_gen            4.984060e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '768': aq_gen             3.590671e-01\n",
+       " gas_gen            3.808807e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.789082e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '769': aq_gen             3.206339e-01\n",
+       " gas_gen            4.437319e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               7.199935e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '770': aq_gen             4.522032e-01\n",
+       " gas_gen            3.470721e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.098893e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '771': aq_gen             4.158459e-01\n",
+       " gas_gen            3.259368e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '772': aq_gen             4.444722e-01\n",
+       " gas_gen            4.052178e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.203100e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '773': aq_gen             2.946887e-01\n",
+       " gas_gen            5.260498e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               9.836510e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '774': aq_gen             4.404065e-01\n",
+       " gas_gen            3.434223e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.296614e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '775': aq_gen             4.398090e-01\n",
+       " gas_gen            3.788133e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.319099e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '776': aq_gen             3.344375e-01\n",
+       " gas_gen            4.802253e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.478304e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '778': aq_gen             3.498277e-01\n",
+       " gas_gen            4.411414e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.475343e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '779': aq_gen             3.926447e-01\n",
+       " gas_gen            4.361531e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '780': aq_gen             4.196659e-01\n",
+       " gas_gen            3.188516e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.593270e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '781': aq_gen             2.789350e-01\n",
+       " gas_gen            4.948547e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.769847e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '782': aq_gen             3.085239e-01\n",
+       " gas_gen            4.177573e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.373156e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '783': aq_gen             4.005477e-01\n",
+       " gas_gen            4.004187e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '784': aq_gen             3.766693e-01\n",
+       " gas_gen            3.504847e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.857659e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '785': aq_gen             4.235467e-01\n",
+       " gas_gen            3.437059e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '786': aq_gen             4.440882e-01\n",
+       " gas_gen            2.950235e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.959502e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '787': aq_gen             3.206325e-01\n",
+       " gas_gen            3.644962e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.188805e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '788': aq_gen             4.852139e-01\n",
+       " gas_gen            3.599143e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.318593e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '789': aq_gen             3.722145e-01\n",
+       " gas_gen            3.093370e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.560580e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '790': aq_gen             3.053243e-01\n",
+       " gas_gen            4.567195e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.403194e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '791': aq_gen             4.624057e-01\n",
+       " gas_gen            3.999389e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.794527e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '793': aq_gen             4.341307e-01\n",
+       " gas_gen            4.281702e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.299331e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '794': aq_gen             3.693647e-01\n",
+       " gas_gen            3.232365e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.879100e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '795': aq_gen             3.750153e-01\n",
+       " gas_gen            3.518464e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.194370e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '797': aq_gen             4.108719e-01\n",
+       " gas_gen            2.841911e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.150167e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '799': aq_gen             3.653739e-01\n",
+       " gas_gen            3.741416e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.055563e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '800': aq_gen             2.810929e-01\n",
+       " gas_gen            4.744274e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.288055e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '801': aq_gen             3.901782e-01\n",
+       " gas_gen            4.540719e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.643817e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '802': aq_gen             2.458614e-01\n",
+       " gas_gen            5.152480e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.415904e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '803': aq_gen             3.967511e-01\n",
+       " gas_gen            3.314057e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.685948e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '804': aq_gen             3.805127e-01\n",
+       " gas_gen            4.004579e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.459658e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '805': aq_gen             3.503334e-01\n",
+       " gas_gen            4.379965e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               6.554831e-03\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '806': aq_gen             3.803348e-01\n",
+       " gas_gen            4.593942e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '807': aq_gen             3.052077e-01\n",
+       " gas_gen            5.020597e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.949410e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '808': aq_gen             3.679778e-01\n",
+       " gas_gen            3.973119e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '809': aq_gen             4.684098e-01\n",
+       " gas_gen            2.812956e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.060506e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '810': aq_gen             3.152574e-01\n",
+       " gas_gen            4.953863e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '811': aq_gen             3.472761e-01\n",
+       " gas_gen            3.549134e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.709248e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '812': aq_gen             3.305157e-01\n",
+       " gas_gen            4.361706e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.166376e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '814': aq_gen             4.324120e-01\n",
+       " gas_gen            3.519735e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.046491e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '815': aq_gen             4.653550e-01\n",
+       " gas_gen            3.526675e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.195857e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '816': aq_gen             3.748186e-01\n",
+       " gas_gen            4.943120e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.255437e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '817': aq_gen             1.164899e-01\n",
+       " gas_gen            6.831253e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               4.632098e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '818': aq_gen             3.340183e-01\n",
+       " gas_gen            5.237125e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '819': aq_gen             2.295023e-01\n",
+       " gas_gen            5.155952e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.940253e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '820': aq_gen             3.002828e-01\n",
+       " gas_gen            4.181133e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.256011e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '821': aq_gen             3.262150e-01\n",
+       " gas_gen            4.516964e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.727734e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '822': aq_gen             3.958451e-01\n",
+       " gas_gen            3.747670e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.947995e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '823': aq_gen             3.815466e-01\n",
+       " gas_gen            3.322646e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.575807e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '824': aq_gen             3.447535e-01\n",
+       " gas_gen            3.564555e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.663528e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '825': aq_gen             3.854676e-01\n",
+       " gas_gen            3.112377e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.605500e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '826': aq_gen             3.966155e-01\n",
+       " gas_gen            3.833510e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '827': aq_gen             3.398006e-01\n",
+       " gas_gen            3.661809e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.689517e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '828': aq_gen             4.901408e-01\n",
+       " gas_gen            3.663099e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '829': aq_gen             4.197962e-01\n",
+       " gas_gen            4.598589e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.389643e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '830': aq_gen             4.126362e-01\n",
+       " gas_gen            3.865987e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '831': aq_gen             3.487204e-01\n",
+       " gas_gen            5.148539e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '832': aq_gen             3.922187e-01\n",
+       " gas_gen            4.075236e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.257720e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '833': aq_gen             2.999263e-01\n",
+       " gas_gen            4.810991e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.221100e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '834': aq_gen             3.639306e-01\n",
+       " gas_gen            3.754089e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               5.800566e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '835': aq_gen             5.395943e-01\n",
+       " gas_gen            4.080469e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.572791e-08\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '836': aq_gen             4.247881e-01\n",
+       " gas_gen            3.319769e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.177129e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '837': aq_gen             3.786951e-01\n",
+       " gas_gen            3.004838e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.479125e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '838': aq_gen             4.633818e-01\n",
+       " gas_gen            3.621008e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.764967e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '839': aq_gen             4.456607e-01\n",
+       " gas_gen            3.659741e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.432268e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '840': aq_gen             3.470469e-01\n",
+       " gas_gen            3.371341e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.961766e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '841': aq_gen             2.557419e-01\n",
+       " gas_gen            5.202034e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.130922e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '842': aq_gen             4.223614e-01\n",
+       " gas_gen            2.963986e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.934289e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '843': aq_gen             4.425647e-01\n",
+       " gas_gen            2.671565e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.782785e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '844': aq_gen             3.176097e-01\n",
+       " gas_gen            4.756862e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.948153e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '845': aq_gen             4.325485e-01\n",
+       " gas_gen            2.785421e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.029179e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '846': aq_gen             4.157935e-01\n",
+       " gas_gen            3.268801e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               5.788610e-03\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '847': aq_gen             3.419750e-01\n",
+       " gas_gen            4.960985e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.657391e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '848': aq_gen             3.128345e-01\n",
+       " gas_gen            3.865144e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.922871e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '849': aq_gen             4.158310e-01\n",
+       " gas_gen            3.457489e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.661592e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '850': aq_gen             3.563317e-01\n",
+       " gas_gen            3.374372e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.138636e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '851': aq_gen             4.077963e-01\n",
+       " gas_gen            3.392818e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.269602e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '852': aq_gen             3.773314e-01\n",
+       " gas_gen            4.485775e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.592997e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '853': aq_gen             4.533577e-01\n",
+       " gas_gen            3.005799e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.578376e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '854': aq_gen             4.731649e-01\n",
+       " gas_gen            3.608460e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '855': aq_gen             4.193244e-01\n",
+       " gas_gen            2.989017e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.118277e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '856': aq_gen             4.313244e-01\n",
+       " gas_gen            4.535186e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.347285e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '857': aq_gen             4.385549e-01\n",
+       " gas_gen            3.433260e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.377749e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '859': aq_gen             4.368159e-01\n",
+       " gas_gen            4.486375e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.984391e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '860': aq_gen             4.795429e-01\n",
+       " gas_gen            3.656619e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.339544e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '861': aq_gen             3.720174e-01\n",
+       " gas_gen            3.236427e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.650554e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '862': aq_gen             2.697467e-01\n",
+       " gas_gen            4.837261e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.063716e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '863': aq_gen             3.421220e-01\n",
+       " gas_gen            4.340045e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               4.915547e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '864': aq_gen             4.320703e-01\n",
+       " gas_gen            3.149850e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               6.722069e-03\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '865': aq_gen             4.374466e-01\n",
+       " gas_gen            3.499153e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '866': aq_gen             3.724672e-01\n",
+       " gas_gen            3.434342e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.173402e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '867': aq_gen             2.916453e-01\n",
+       " gas_gen            4.993054e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.722287e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '868': aq_gen             3.409926e-01\n",
+       " gas_gen            4.861394e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               7.459328e-10\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '869': aq_gen             3.287393e-01\n",
+       " gas_gen            3.990719e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.059659e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '870': aq_gen             2.839264e-01\n",
+       " gas_gen            4.323120e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.336477e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '871': aq_gen             4.191651e-01\n",
+       " gas_gen            3.353990e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '872': aq_gen             3.632789e-01\n",
+       " gas_gen            3.486975e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.251536e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '873': aq_gen             2.778164e-01\n",
+       " gas_gen            3.402293e-13\n",
+       " HCA-Friedels-ss    1.175718e-06\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               4.623710e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '874': aq_gen             4.426315e-01\n",
+       " gas_gen            2.799234e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               4.747390e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '875': aq_gen             4.059087e-01\n",
+       " gas_gen            4.315713e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.673757e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '876': aq_gen             3.286442e-01\n",
+       " gas_gen            4.221940e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.057273e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '877': aq_gen             3.297689e-01\n",
+       " gas_gen            4.697567e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.704770e-03\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '878': aq_gen             4.013030e-01\n",
+       " gas_gen            3.493337e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               5.764316e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '879': aq_gen             3.667697e-01\n",
+       " gas_gen            3.795802e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.936699e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '880': aq_gen             4.455302e-01\n",
+       " gas_gen            3.828328e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.967494e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '881': aq_gen             3.301314e-01\n",
+       " gas_gen            3.678874e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.919243e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '882': aq_gen             4.430407e-01\n",
+       " gas_gen            3.527158e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.510827e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '883': aq_gen             3.310178e-01\n",
+       " gas_gen            4.690056e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.411184e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '884': aq_gen             3.315436e-01\n",
+       " gas_gen            3.968664e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.245393e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '885': aq_gen             2.726088e-01\n",
+       " gas_gen            5.263691e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.952258e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '886': aq_gen             3.587674e-01\n",
+       " gas_gen            3.339445e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.643609e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '887': aq_gen             4.412392e-01\n",
+       " gas_gen            4.333583e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.663866e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '889': aq_gen             3.194911e-01\n",
+       " gas_gen            4.938178e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.092858e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '890': aq_gen             3.739134e-01\n",
+       " gas_gen            4.545762e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.633340e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '891': aq_gen             3.885049e-01\n",
+       " gas_gen            3.693877e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '892': aq_gen             3.995504e-01\n",
+       " gas_gen            4.149854e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '893': aq_gen             3.379876e-01\n",
+       " gas_gen            3.395474e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.085798e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '894': aq_gen             3.855316e-01\n",
+       " gas_gen            3.719340e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.183755e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '895': aq_gen             4.751048e-01\n",
+       " gas_gen            2.992363e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.680383e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '896': aq_gen             4.221072e-01\n",
+       " gas_gen            2.977550e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.756268e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '897': aq_gen             2.854454e-01\n",
+       " gas_gen            5.018391e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.634344e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '898': aq_gen             3.781694e-01\n",
+       " gas_gen            3.717407e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.094824e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '899': aq_gen             3.058359e-01\n",
+       " gas_gen            5.006833e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.345968e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '900': aq_gen             5.230337e-01\n",
+       " gas_gen            4.183591e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               7.827650e-03\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '901': aq_gen             4.840229e-01\n",
+       " gas_gen            3.938397e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.275130e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '902': aq_gen             2.987353e-01\n",
+       " gas_gen            5.513510e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               4.568701e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '903': aq_gen             4.645364e-01\n",
+       " gas_gen            3.909723e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.532473e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '904': aq_gen             5.008091e-01\n",
+       " gas_gen            3.088751e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.788037e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '905': aq_gen             3.866363e-01\n",
+       " gas_gen            3.014371e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.377030e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '906': aq_gen             3.854681e-01\n",
+       " gas_gen            3.265769e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.900614e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '907': aq_gen             4.732362e-01\n",
+       " gas_gen            3.462159e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.012125e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '908': aq_gen             4.073029e-01\n",
+       " gas_gen            3.326933e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.296086e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '909': aq_gen             3.515973e-01\n",
+       " gas_gen            4.520822e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.065401e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '910': aq_gen             3.679995e-01\n",
+       " gas_gen            4.161457e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.023696e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '911': aq_gen             3.770274e-01\n",
+       " gas_gen            3.789748e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.010158e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '912': aq_gen             3.533771e-01\n",
+       " gas_gen            3.205200e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.656738e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '914': aq_gen             3.634866e-01\n",
+       " gas_gen            3.178017e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.493191e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '915': aq_gen             3.031605e-01\n",
+       " gas_gen            4.180831e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.749362e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '917': aq_gen             3.079217e-01\n",
+       " gas_gen            5.062215e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.976327e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '918': aq_gen             3.456827e-01\n",
+       " gas_gen            4.638852e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.942040e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '919': aq_gen             3.937728e-01\n",
+       " gas_gen            4.137499e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.921099e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '920': aq_gen             4.190918e-01\n",
+       " gas_gen            3.578065e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.521866e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '921': aq_gen             3.755668e-01\n",
+       " gas_gen            3.976429e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.594660e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '922': aq_gen             2.962493e-01\n",
+       " gas_gen            4.383574e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.348610e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '924': aq_gen             3.431030e-01\n",
+       " gas_gen            3.738166e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.737428e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '925': aq_gen             4.493575e-01\n",
+       " gas_gen            4.613932e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.163887e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '927': aq_gen             3.836065e-01\n",
+       " gas_gen            3.317868e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.691903e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '928': aq_gen             2.728430e-01\n",
+       " gas_gen            5.724417e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               8.871540e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '929': aq_gen             4.898436e-01\n",
+       " gas_gen            3.100322e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.095582e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '930': aq_gen             3.819572e-01\n",
+       " gas_gen            3.979970e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.961491e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '931': aq_gen             4.149808e-01\n",
+       " gas_gen            2.936776e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.738662e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '932': aq_gen             3.791522e-01\n",
+       " gas_gen            3.286721e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.721281e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '933': aq_gen             4.083204e-01\n",
+       " gas_gen            3.548149e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '934': aq_gen             5.324980e-01\n",
+       " gas_gen            2.820971e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.847171e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '935': aq_gen             1.754938e-01\n",
+       " gas_gen            6.948888e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               5.163004e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '936': aq_gen             4.199657e-01\n",
+       " gas_gen            2.942506e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.434721e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '937': aq_gen             4.505383e-01\n",
+       " gas_gen            3.562565e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.913287e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '938': aq_gen             4.470009e-01\n",
+       " gas_gen            3.279145e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.631831e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '939': aq_gen             2.196002e-01\n",
+       " gas_gen            6.124785e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.351549e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '940': aq_gen             3.980424e-01\n",
+       " gas_gen            3.435109e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '941': aq_gen             4.280156e-01\n",
+       " gas_gen            3.680703e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.294500e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '942': aq_gen             3.268904e-01\n",
+       " gas_gen            5.132445e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.894290e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '943': aq_gen             9.649490e-02\n",
+       " gas_gen            7.441652e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               4.994177e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '944': aq_gen             4.092181e-01\n",
+       " gas_gen            3.597565e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               6.293847e-07\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '945': aq_gen             4.875721e-01\n",
+       " gas_gen            3.582201e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.276137e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '946': aq_gen             3.537825e-01\n",
+       " gas_gen            4.416409e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.544758e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '947': aq_gen             4.705833e-01\n",
+       " gas_gen            3.897280e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.068348e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '948': aq_gen             3.087685e-01\n",
+       " gas_gen            5.555335e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.490405e-03\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '950': aq_gen             4.375001e-01\n",
+       " gas_gen            3.605819e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.869634e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '951': aq_gen             3.179622e-01\n",
+       " gas_gen            3.944297e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.523910e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '952': aq_gen             4.200474e-01\n",
+       " gas_gen            3.320249e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '953': aq_gen             2.496505e-01\n",
+       " gas_gen            5.122838e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.789663e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '954': aq_gen             3.983912e-01\n",
+       " gas_gen            4.109438e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '955': aq_gen             3.661487e-01\n",
+       " gas_gen            3.803026e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.780614e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '957': aq_gen             1.931118e-01\n",
+       " gas_gen            6.142063e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               4.398307e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '959': aq_gen             2.978525e-01\n",
+       " gas_gen            5.693822e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               8.282780e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '960': aq_gen             3.535669e-01\n",
+       " gas_gen            5.174342e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.537424e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '961': aq_gen             4.073315e-01\n",
+       " gas_gen            3.571699e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '962': aq_gen             3.689263e-01\n",
+       " gas_gen            3.071709e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.136366e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '963': aq_gen             5.377085e-01\n",
+       " gas_gen            3.612786e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.738409e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '964': aq_gen             4.296850e-01\n",
+       " gas_gen            3.195790e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.693235e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '965': aq_gen             4.000353e-01\n",
+       " gas_gen            3.400827e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.550562e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '966': aq_gen             3.806235e-01\n",
+       " gas_gen            3.625261e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.271191e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '967': aq_gen             4.601261e-01\n",
+       " gas_gen            3.362559e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.092745e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '968': aq_gen             3.020363e-01\n",
+       " gas_gen            4.332187e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.301959e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '969': aq_gen             2.881481e-01\n",
+       " gas_gen            4.343112e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.906542e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '970': aq_gen             3.968520e-01\n",
+       " gas_gen            3.027178e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.026243e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '971': aq_gen             2.806641e-01\n",
+       " gas_gen            4.252914e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.755417e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '972': aq_gen             4.001498e-01\n",
+       " gas_gen            3.730269e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.900894e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '973': aq_gen             4.542064e-01\n",
+       " gas_gen            2.848126e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.921325e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '974': aq_gen             4.072751e-01\n",
+       " gas_gen            3.464567e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               5.664084e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '975': aq_gen             3.948882e-01\n",
+       " gas_gen            4.382387e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '976': aq_gen             3.540519e-01\n",
+       " gas_gen            4.724915e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.496916e-03\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '977': aq_gen             3.706759e-01\n",
+       " gas_gen            3.659965e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.131368e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '978': aq_gen             3.727895e-01\n",
+       " gas_gen            3.773806e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.889689e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '979': aq_gen             3.462589e-01\n",
+       " gas_gen            3.459053e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.870597e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '980': aq_gen             1.395138e-01\n",
+       " gas_gen            6.769327e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.988789e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '981': aq_gen             3.097155e-01\n",
+       " gas_gen            4.763626e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.732074e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '982': aq_gen             3.856418e-01\n",
+       " gas_gen            3.814905e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.845381e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '983': aq_gen             4.813734e-01\n",
+       " gas_gen            3.326635e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.171735e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '985': aq_gen             3.748129e-01\n",
+       " gas_gen            3.568122e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.795612e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '986': aq_gen             3.947881e-01\n",
+       " gas_gen            3.361189e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.606642e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '987': aq_gen             4.739777e-01\n",
+       " gas_gen            3.729126e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.069898e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '988': aq_gen             3.731496e-01\n",
+       " gas_gen            3.536302e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.892073e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '989': aq_gen             3.314452e-01\n",
+       " gas_gen            4.743553e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '990': aq_gen             3.111539e-01\n",
+       " gas_gen            4.386967e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.800966e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '991': aq_gen             3.471340e-01\n",
+       " gas_gen            4.600855e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               8.994725e-02\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '992': aq_gen             2.536394e-01\n",
+       " gas_gen            4.629267e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               3.515119e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '993': aq_gen             2.549451e-01\n",
+       " gas_gen            5.533189e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.179784e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '994': aq_gen             4.047116e-01\n",
+       " gas_gen            3.066260e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.091345e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '995': aq_gen             3.526781e-01\n",
+       " gas_gen            4.092073e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               1.574225e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '996': aq_gen             4.265572e-01\n",
+       " gas_gen            3.428993e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.314301e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '997': aq_gen             4.360801e-01\n",
+       " gas_gen            3.552561e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               0.000000e+00\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '998': aq_gen             5.164780e-01\n",
+       " gas_gen            3.416435e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.101433e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64,\n",
+       " '999': aq_gen             4.266453e-01\n",
+       " gas_gen            3.121271e-13\n",
+       " HCA-Friedels-ss    0.000000e+00\n",
+       " C3(AF)S0_84H       0.000000e+00\n",
+       " CSHQ               2.517689e-01\n",
+       "                        ...     \n",
+       " Quartz             0.000000e+00\n",
+       " Silica-amorph      0.000000e+00\n",
+       " Strontianite       0.000000e+00\n",
+       " Celestite          0.000000e+00\n",
+       " Rutile             0.000000e+00\n",
+       " Length: 110, dtype: float64}"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pd_vol_frac"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "edfef727-0078-44ec-bcd8-6a081e9ec94f",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "aq_gen             4.222192e-01\n",
+       "CSHQ               3.068892e-01\n",
+       "C3AH6              9.778680e-02\n",
+       "Portlandite        8.835438e-02\n",
+       "OH-hydrotalcite    6.108319e-02\n",
+       "Iron               1.039380e-02\n",
+       "Titanite           5.137703e-03\n",
+       "HAP                4.466134e-03\n",
+       "Troilite           3.669577e-03\n",
+       "gas_gen            3.492125e-13\n",
+       "arcanite           0.000000e+00\n",
+       "Melanterite        0.000000e+00\n",
+       "Pyrite             0.000000e+00\n",
+       "Goethite           0.000000e+00\n",
+       "Ferrihydrite-am    0.000000e+00\n",
+       "syngenite          0.000000e+00\n",
+       "Magnetite          0.000000e+00\n",
+       "Hematite           0.000000e+00\n",
+       "Siderite           0.000000e+00\n",
+       "thaumasite         0.000000e+00\n",
+       "dtype: float64"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pd_vol_frac['0'].sort_values(ascending=False).head(20)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "390cc3a0-915e-49f1-bab4-4b9cf9eef586",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "aq_gen             3.526555e+02\n",
+       "gas_gen            3.797623e-10\n",
+       "HCA-Friedels-ss    1.175718e-06\n",
+       "C3(AF)S0_84H       0.000000e+00\n",
+       "CSHQ               1.912291e+02\n",
+       "                       ...     \n",
+       "Quartz             0.000000e+00\n",
+       "Silica-amorph      0.000000e+00\n",
+       "Strontianite       0.000000e+00\n",
+       "Celestite          0.000000e+00\n",
+       "Rutile             0.000000e+00\n",
+       "Length: 110, dtype: float64"
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pd_df = pd.DataFrame(pd_vol_frac)\n",
+    "list_pd = pd_df.sum(axis = 1)\n",
+    "list_pd"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "f330eb06-d484-47da-a34d-acea1f799ac6",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>aq_gen</th>\n",
+       "      <th>gas_gen</th>\n",
+       "      <th>HCA-Friedels-ss</th>\n",
+       "      <th>C3(AF)S0_84H</th>\n",
+       "      <th>CSHQ</th>\n",
+       "      <th>ettringite-AlFe</th>\n",
+       "      <th>monosulph-AlFe</th>\n",
+       "      <th>straetlingite</th>\n",
+       "      <th>SO4_OH_AFm</th>\n",
+       "      <th>SO4_CO3_AFt</th>\n",
+       "      <th>...</th>\n",
+       "      <th>Natrolite</th>\n",
+       "      <th>ZeoliteX</th>\n",
+       "      <th>ZeoliteY</th>\n",
+       "      <th>Na-oxide</th>\n",
+       "      <th>Sulphur</th>\n",
+       "      <th>Quartz</th>\n",
+       "      <th>Silica-amorph</th>\n",
+       "      <th>Strontianite</th>\n",
+       "      <th>Celestite</th>\n",
+       "      <th>Rutile</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0.422219</td>\n",
+       "      <td>3.492125e-13</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.306889</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
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+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
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+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0.366122</td>\n",
+       "      <td>3.436806e-13</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.144766</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.067847</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0.326306</td>\n",
+       "      <td>3.947666e-13</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.164804</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.071720</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0.349835</td>\n",
+       "      <td>4.463835e-13</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.323567</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0.379584</td>\n",
+       "      <td>3.996415e-13</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.266418</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.000000</td>\n",
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+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>995</th>\n",
+       "      <td>0.352678</td>\n",
+       "      <td>4.092073e-13</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.157423</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.025911</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>996</th>\n",
+       "      <td>0.426557</td>\n",
+       "      <td>3.428993e-13</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.231430</td>\n",
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+       "      <td>...</td>\n",
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+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>997</th>\n",
+       "      <td>0.436080</td>\n",
+       "      <td>3.552561e-13</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
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+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.045252</td>\n",
+       "      <td>0.0</td>\n",
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+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>998</th>\n",
+       "      <td>0.516478</td>\n",
+       "      <td>3.416435e-13</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.210143</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>999</th>\n",
+       "      <td>0.426645</td>\n",
+       "      <td>3.121271e-13</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.251769</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>944 rows × 110 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       aq_gen       gas_gen  HCA-Friedels-ss  C3(AF)S0_84H      CSHQ  \\\n",
+       "0    0.422219  3.492125e-13              0.0           0.0  0.306889   \n",
+       "1    0.366122  3.436806e-13              0.0           0.0  0.144766   \n",
+       "2    0.326306  3.947666e-13              0.0           0.0  0.164804   \n",
+       "3    0.349835  4.463835e-13              0.0           0.0  0.323567   \n",
+       "4    0.379584  3.996415e-13              0.0           0.0  0.266418   \n",
+       "..        ...           ...              ...           ...       ...   \n",
+       "995  0.352678  4.092073e-13              0.0           0.0  0.157423   \n",
+       "996  0.426557  3.428993e-13              0.0           0.0  0.231430   \n",
+       "997  0.436080  3.552561e-13              0.0           0.0  0.000000   \n",
+       "998  0.516478  3.416435e-13              0.0           0.0  0.210143   \n",
+       "999  0.426645  3.121271e-13              0.0           0.0  0.251769   \n",
+       "\n",
+       "     ettringite-AlFe  monosulph-AlFe  straetlingite  SO4_OH_AFm  SO4_CO3_AFt  \\\n",
+       "0                0.0             0.0            0.0         0.0          0.0   \n",
+       "1                0.0             0.0            0.0         0.0          0.0   \n",
+       "2                0.0             0.0            0.0         0.0          0.0   \n",
+       "3                0.0             0.0            0.0         0.0          0.0   \n",
+       "4                0.0             0.0            0.0         0.0          0.0   \n",
+       "..               ...             ...            ...         ...          ...   \n",
+       "995              0.0             0.0            0.0         0.0          0.0   \n",
+       "996              0.0             0.0            0.0         0.0          0.0   \n",
+       "997              0.0             0.0            0.0         0.0          0.0   \n",
+       "998              0.0             0.0            0.0         0.0          0.0   \n",
+       "999              0.0             0.0            0.0         0.0          0.0   \n",
+       "\n",
+       "     ...  Natrolite  ZeoliteX  ZeoliteY  Na-oxide  Sulphur  Quartz  \\\n",
+       "0    ...   0.000000       0.0       0.0       0.0      0.0     0.0   \n",
+       "1    ...   0.067847       0.0       0.0       0.0      0.0     0.0   \n",
+       "2    ...   0.071720       0.0       0.0       0.0      0.0     0.0   \n",
+       "3    ...   0.000000       0.0       0.0       0.0      0.0     0.0   \n",
+       "4    ...   0.000000       0.0       0.0       0.0      0.0     0.0   \n",
+       "..   ...        ...       ...       ...       ...      ...     ...   \n",
+       "995  ...   0.025911       0.0       0.0       0.0      0.0     0.0   \n",
+       "996  ...   0.000000       0.0       0.0       0.0      0.0     0.0   \n",
+       "997  ...   0.045252       0.0       0.0       0.0      0.0     0.0   \n",
+       "998  ...   0.000000       0.0       0.0       0.0      0.0     0.0   \n",
+       "999  ...   0.000000       0.0       0.0       0.0      0.0     0.0   \n",
+       "\n",
+       "     Silica-amorph  Strontianite  Celestite  Rutile  \n",
+       "0              0.0           0.0        0.0     0.0  \n",
+       "1              0.0           0.0        0.0     0.0  \n",
+       "2              0.0           0.0        0.0     0.0  \n",
+       "3              0.0           0.0        0.0     0.0  \n",
+       "4              0.0           0.0        0.0     0.0  \n",
+       "..             ...           ...        ...     ...  \n",
+       "995            0.0           0.0        0.0     0.0  \n",
+       "996            0.0           0.0        0.0     0.0  \n",
+       "997            0.0           0.0        0.0     0.0  \n",
+       "998            0.0           0.0        0.0     0.0  \n",
+       "999            0.0           0.0        0.0     0.0  \n",
+       "\n",
+       "[944 rows x 110 columns]"
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pd_df1 = pd_df.copy().T\n",
+    "pd_df1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "id": "458b44cf-05b2-4852-8696-dbfdaff51131",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
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+       "<style scoped>\n",
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+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>C3S</th>\n",
+       "      <th>C2S</th>\n",
+       "      <th>C3A</th>\n",
+       "      <th>C4AF</th>\n",
+       "      <th>wc</th>\n",
+       "      <th>RH</th>\n",
+       "      <th>T</th>\n",
+       "      <th>fineness</th>\n",
+       "      <th>CSH2</th>\n",
+       "      <th>limestone</th>\n",
+       "      <th>silica_fume</th>\n",
+       "      <th>GGBFS</th>\n",
+       "      <th>fly_ash</th>\n",
+       "      <th>calcined_clay</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>57.647781</td>\n",
+       "      <td>26.151845</td>\n",
+       "      <td>6.628009</td>\n",
+       "      <td>5.572365</td>\n",
+       "      <td>0.661962</td>\n",
+       "      <td>1</td>\n",
+       "      <td>25</td>\n",
+       "      <td>385</td>\n",
+       "      <td>4</td>\n",
+       "      <td>6.880488</td>\n",
+       "      <td>8.962389</td>\n",
+       "      <td>12.187488</td>\n",
+       "      <td>26.210516</td>\n",
+       "      <td>5.164236</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>64.773646</td>\n",
+       "      <td>17.605959</td>\n",
+       "      <td>7.152201</td>\n",
+       "      <td>6.468193</td>\n",
+       "      <td>0.465823</td>\n",
+       "      <td>1</td>\n",
+       "      <td>25</td>\n",
+       "      <td>385</td>\n",
+       "      <td>4</td>\n",
+       "      <td>14.975455</td>\n",
+       "      <td>1.114454</td>\n",
+       "      <td>15.817766</td>\n",
+       "      <td>29.826033</td>\n",
+       "      <td>29.727892</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>60.857278</td>\n",
+       "      <td>21.823251</td>\n",
+       "      <td>11.823600</td>\n",
+       "      <td>1.495871</td>\n",
+       "      <td>0.400889</td>\n",
+       "      <td>1</td>\n",
+       "      <td>25</td>\n",
+       "      <td>385</td>\n",
+       "      <td>4</td>\n",
+       "      <td>11.196107</td>\n",
+       "      <td>8.455333</td>\n",
+       "      <td>9.763467</td>\n",
+       "      <td>30.339600</td>\n",
+       "      <td>25.001093</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>55.248035</td>\n",
+       "      <td>27.030514</td>\n",
+       "      <td>5.217009</td>\n",
+       "      <td>8.504442</td>\n",
+       "      <td>0.462212</td>\n",
+       "      <td>1</td>\n",
+       "      <td>25</td>\n",
+       "      <td>385</td>\n",
+       "      <td>4</td>\n",
+       "      <td>5.756211</td>\n",
+       "      <td>9.118701</td>\n",
+       "      <td>0.473350</td>\n",
+       "      <td>26.277058</td>\n",
+       "      <td>19.156557</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>57.710815</td>\n",
+       "      <td>16.303625</td>\n",
+       "      <td>9.094807</td>\n",
+       "      <td>12.890753</td>\n",
+       "      <td>0.632467</td>\n",
+       "      <td>1</td>\n",
+       "      <td>25</td>\n",
+       "      <td>385</td>\n",
+       "      <td>4</td>\n",
+       "      <td>3.523905</td>\n",
+       "      <td>5.406125</td>\n",
+       "      <td>19.694909</td>\n",
+       "      <td>2.776113</td>\n",
+       "      <td>11.195109</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
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+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>995</th>\n",
+       "      <td>71.058060</td>\n",
+       "      <td>16.755838</td>\n",
+       "      <td>4.603968</td>\n",
+       "      <td>3.582134</td>\n",
+       "      <td>0.460128</td>\n",
+       "      <td>1</td>\n",
+       "      <td>25</td>\n",
+       "      <td>385</td>\n",
+       "      <td>4</td>\n",
+       "      <td>0.230468</td>\n",
+       "      <td>4.292554</td>\n",
+       "      <td>17.390299</td>\n",
+       "      <td>26.094378</td>\n",
+       "      <td>12.168256</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>996</th>\n",
+       "      <td>54.143969</td>\n",
+       "      <td>23.010890</td>\n",
+       "      <td>11.745269</td>\n",
+       "      <td>7.099872</td>\n",
+       "      <td>0.631194</td>\n",
+       "      <td>1</td>\n",
+       "      <td>25</td>\n",
+       "      <td>385</td>\n",
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+       "      <td>14.839799</td>\n",
+       "      <td>3.966266</td>\n",
+       "      <td>20.978287</td>\n",
+       "      <td>6.818712</td>\n",
+       "      <td>20.631338</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>997</th>\n",
+       "      <td>64.676746</td>\n",
+       "      <td>26.630476</td>\n",
+       "      <td>1.413039</td>\n",
+       "      <td>3.279739</td>\n",
+       "      <td>0.457343</td>\n",
+       "      <td>1</td>\n",
+       "      <td>25</td>\n",
+       "      <td>385</td>\n",
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+       "      <td>4.752905</td>\n",
+       "      <td>31.085584</td>\n",
+       "      <td>21.591315</td>\n",
+       "      <td>13.750595</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>998</th>\n",
+       "      <td>61.016788</td>\n",
+       "      <td>23.433337</td>\n",
+       "      <td>9.582049</td>\n",
+       "      <td>1.967826</td>\n",
+       "      <td>0.664557</td>\n",
+       "      <td>1</td>\n",
+       "      <td>25</td>\n",
+       "      <td>385</td>\n",
+       "      <td>4</td>\n",
+       "      <td>12.180821</td>\n",
+       "      <td>2.341680</td>\n",
+       "      <td>2.246501</td>\n",
+       "      <td>14.653117</td>\n",
+       "      <td>31.593280</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>999</th>\n",
+       "      <td>70.732394</td>\n",
+       "      <td>19.756046</td>\n",
+       "      <td>3.441513</td>\n",
+       "      <td>2.070047</td>\n",
+       "      <td>0.597458</td>\n",
+       "      <td>1</td>\n",
+       "      <td>25</td>\n",
+       "      <td>385</td>\n",
+       "      <td>4</td>\n",
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+       "      <td>5.146907</td>\n",
+       "      <td>19.839213</td>\n",
+       "      <td>21.021931</td>\n",
+       "      <td>23.923168</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1000 rows × 14 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           C3S        C2S        C3A       C4AF        wc  RH   T  fineness  \\\n",
+       "0    57.647781  26.151845   6.628009   5.572365  0.661962   1  25       385   \n",
+       "1    64.773646  17.605959   7.152201   6.468193  0.465823   1  25       385   \n",
+       "2    60.857278  21.823251  11.823600   1.495871  0.400889   1  25       385   \n",
+       "3    55.248035  27.030514   5.217009   8.504442  0.462212   1  25       385   \n",
+       "4    57.710815  16.303625   9.094807  12.890753  0.632467   1  25       385   \n",
+       "..         ...        ...        ...        ...       ...  ..  ..       ...   \n",
+       "995  71.058060  16.755838   4.603968   3.582134  0.460128   1  25       385   \n",
+       "996  54.143969  23.010890  11.745269   7.099872  0.631194   1  25       385   \n",
+       "997  64.676746  26.630476   1.413039   3.279739  0.457343   1  25       385   \n",
+       "998  61.016788  23.433337   9.582049   1.967826  0.664557   1  25       385   \n",
+       "999  70.732394  19.756046   3.441513   2.070047  0.597458   1  25       385   \n",
+       "\n",
+       "     CSH2  limestone  silica_fume      GGBFS    fly_ash  calcined_clay  \n",
+       "0       4   6.880488     8.962389  12.187488  26.210516       5.164236  \n",
+       "1       4  14.975455     1.114454  15.817766  29.826033      29.727892  \n",
+       "2       4  11.196107     8.455333   9.763467  30.339600      25.001093  \n",
+       "3       4   5.756211     9.118701   0.473350  26.277058      19.156557  \n",
+       "4       4   3.523905     5.406125  19.694909   2.776113      11.195109  \n",
+       "..    ...        ...          ...        ...        ...            ...  \n",
+       "995     4   0.230468     4.292554  17.390299  26.094378      12.168256  \n",
+       "996     4  14.839799     3.966266  20.978287   6.818712      20.631338  \n",
+       "997     4  11.577786     4.752905  31.085584  21.591315      13.750595  \n",
+       "998     4  12.180821     2.341680   2.246501  14.653117      31.593280  \n",
+       "999     4  19.031065     5.146907  19.839213  21.021931      23.923168  \n",
+       "\n",
+       "[1000 rows x 14 columns]"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "input"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "id": "46fd82f1-3e1d-4215-bdee-97b0a94be490",
+   "metadata": {},
+   "outputs": [
+    {
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+       "      <th></th>\n",
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+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0.349835</td>\n",
+       "      <td>4.463835e-13</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.323567</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0.379584</td>\n",
+       "      <td>3.996415e-13</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.266418</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>995</th>\n",
+       "      <td>0.352678</td>\n",
+       "      <td>4.092073e-13</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.157423</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.025911</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>996</th>\n",
+       "      <td>0.426557</td>\n",
+       "      <td>3.428993e-13</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.231430</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>997</th>\n",
+       "      <td>0.436080</td>\n",
+       "      <td>3.552561e-13</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.045252</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>998</th>\n",
+       "      <td>0.516478</td>\n",
+       "      <td>3.416435e-13</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.210143</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>999</th>\n",
+       "      <td>0.426645</td>\n",
+       "      <td>3.121271e-13</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.251769</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>944 rows × 110 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       aq_gen       gas_gen  HCA-Friedels-ss  C3(AF)S0_84H      CSHQ  \\\n",
+       "0    0.422219  3.492125e-13              0.0           0.0  0.306889   \n",
+       "1    0.366122  3.436806e-13              0.0           0.0  0.144766   \n",
+       "2    0.326306  3.947666e-13              0.0           0.0  0.164804   \n",
+       "3    0.349835  4.463835e-13              0.0           0.0  0.323567   \n",
+       "4    0.379584  3.996415e-13              0.0           0.0  0.266418   \n",
+       "..        ...           ...              ...           ...       ...   \n",
+       "995  0.352678  4.092073e-13              0.0           0.0  0.157423   \n",
+       "996  0.426557  3.428993e-13              0.0           0.0  0.231430   \n",
+       "997  0.436080  3.552561e-13              0.0           0.0  0.000000   \n",
+       "998  0.516478  3.416435e-13              0.0           0.0  0.210143   \n",
+       "999  0.426645  3.121271e-13              0.0           0.0  0.251769   \n",
+       "\n",
+       "     ettringite-AlFe  monosulph-AlFe  straetlingite  SO4_OH_AFm  SO4_CO3_AFt  \\\n",
+       "0                0.0             0.0            0.0         0.0          0.0   \n",
+       "1                0.0             0.0            0.0         0.0          0.0   \n",
+       "2                0.0             0.0            0.0         0.0          0.0   \n",
+       "3                0.0             0.0            0.0         0.0          0.0   \n",
+       "4                0.0             0.0            0.0         0.0          0.0   \n",
+       "..               ...             ...            ...         ...          ...   \n",
+       "995              0.0             0.0            0.0         0.0          0.0   \n",
+       "996              0.0             0.0            0.0         0.0          0.0   \n",
+       "997              0.0             0.0            0.0         0.0          0.0   \n",
+       "998              0.0             0.0            0.0         0.0          0.0   \n",
+       "999              0.0             0.0            0.0         0.0          0.0   \n",
+       "\n",
+       "     ...  Natrolite  ZeoliteX  ZeoliteY  Na-oxide  Sulphur  Quartz  \\\n",
+       "0    ...   0.000000       0.0       0.0       0.0      0.0     0.0   \n",
+       "1    ...   0.067847       0.0       0.0       0.0      0.0     0.0   \n",
+       "2    ...   0.071720       0.0       0.0       0.0      0.0     0.0   \n",
+       "3    ...   0.000000       0.0       0.0       0.0      0.0     0.0   \n",
+       "4    ...   0.000000       0.0       0.0       0.0      0.0     0.0   \n",
+       "..   ...        ...       ...       ...       ...      ...     ...   \n",
+       "995  ...   0.025911       0.0       0.0       0.0      0.0     0.0   \n",
+       "996  ...   0.000000       0.0       0.0       0.0      0.0     0.0   \n",
+       "997  ...   0.045252       0.0       0.0       0.0      0.0     0.0   \n",
+       "998  ...   0.000000       0.0       0.0       0.0      0.0     0.0   \n",
+       "999  ...   0.000000       0.0       0.0       0.0      0.0     0.0   \n",
+       "\n",
+       "     Silica-amorph  Strontianite  Celestite  Rutile  \n",
+       "0              0.0           0.0        0.0     0.0  \n",
+       "1              0.0           0.0        0.0     0.0  \n",
+       "2              0.0           0.0        0.0     0.0  \n",
+       "3              0.0           0.0        0.0     0.0  \n",
+       "4              0.0           0.0        0.0     0.0  \n",
+       "..             ...           ...        ...     ...  \n",
+       "995            0.0           0.0        0.0     0.0  \n",
+       "996            0.0           0.0        0.0     0.0  \n",
+       "997            0.0           0.0        0.0     0.0  \n",
+       "998            0.0           0.0        0.0     0.0  \n",
+       "999            0.0           0.0        0.0     0.0  \n",
+       "\n",
+       "[944 rows x 110 columns]"
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pd_df1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "id": "f3ffeea7-614c-4aae-8808-e0849b86c752",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "output_keys = list_pd[list_pd >0].keys()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "id": "fcfd871b-8b47-455d-bd27-1b2de4388d97",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
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+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
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+       "\n",
+       "    .dataframe thead th {\n",
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+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>aq_gen</th>\n",
+       "      <th>gas_gen</th>\n",
+       "      <th>HCA-Friedels-ss</th>\n",
+       "      <th>CSHQ</th>\n",
+       "      <th>straetlingite</th>\n",
+       "      <th>Gibbsite</th>\n",
+       "      <th>Belite</th>\n",
+       "      <th>C3AH6</th>\n",
+       "      <th>C4Ac0_5H12</th>\n",
+       "      <th>Portlandite</th>\n",
+       "      <th>HAP</th>\n",
+       "      <th>Titanite</th>\n",
+       "      <th>Iron</th>\n",
+       "      <th>Magnetite</th>\n",
+       "      <th>Goethite</th>\n",
+       "      <th>Troilite</th>\n",
+       "      <th>OH-hydrotalcite</th>\n",
+       "      <th>Brucite</th>\n",
+       "      <th>Pyrochroite</th>\n",
+       "      <th>Natrolite</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0.422219</td>\n",
+       "      <td>3.492125e-13</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.306889</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.097787</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.088354</td>\n",
+       "      <td>0.004466</td>\n",
+       "      <td>0.005138</td>\n",
+       "      <td>0.010394</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.003670</td>\n",
+       "      <td>0.061083</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0.366122</td>\n",
+       "      <td>3.436806e-13</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.144766</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.057969</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.207437</td>\n",
+       "      <td>0.025676</td>\n",
+       "      <td>0.029537</td>\n",
+       "      <td>0.017511</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.007224</td>\n",
+       "      <td>0.075911</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.067847</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0.326306</td>\n",
+       "      <td>3.947666e-13</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.164804</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.011435</td>\n",
+       "      <td>0.045745</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.236557</td>\n",
+       "      <td>0.024834</td>\n",
+       "      <td>0.028568</td>\n",
+       "      <td>0.017944</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.007514</td>\n",
+       "      <td>0.064572</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.071720</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0.349835</td>\n",
+       "      <td>4.463835e-13</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.323567</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.051399</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.175740</td>\n",
+       "      <td>0.021216</td>\n",
+       "      <td>0.024407</td>\n",
+       "      <td>0.018228</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.007345</td>\n",
+       "      <td>0.028264</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0.379584</td>\n",
+       "      <td>3.996415e-13</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.266418</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.183942</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.057216</td>\n",
+       "      <td>0.011121</td>\n",
+       "      <td>0.012793</td>\n",
+       "      <td>0.005761</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.005237</td>\n",
+       "      <td>0.077929</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>995</th>\n",
+       "      <td>0.352678</td>\n",
+       "      <td>4.092073e-13</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.157423</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.089615</td>\n",
+       "      <td>0.108790</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.126086</td>\n",
+       "      <td>0.012524</td>\n",
+       "      <td>0.014407</td>\n",
+       "      <td>0.013788</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.005544</td>\n",
+       "      <td>0.093235</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.025911</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>996</th>\n",
+       "      <td>0.426557</td>\n",
+       "      <td>3.428993e-13</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.231430</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.162018</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.054659</td>\n",
+       "      <td>0.017603</td>\n",
+       "      <td>0.020250</td>\n",
+       "      <td>0.007352</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.005866</td>\n",
+       "      <td>0.074266</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>997</th>\n",
+       "      <td>0.436080</td>\n",
+       "      <td>3.552561e-13</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.159141</td>\n",
+       "      <td>0.126889</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.065790</td>\n",
+       "      <td>0.012308</td>\n",
+       "      <td>0.014159</td>\n",
+       "      <td>0.010713</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.004947</td>\n",
+       "      <td>0.124721</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.045252</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>998</th>\n",
+       "      <td>0.516478</td>\n",
+       "      <td>3.416435e-13</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.210143</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.050424</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.128303</td>\n",
+       "      <td>0.026676</td>\n",
+       "      <td>0.030687</td>\n",
+       "      <td>0.011424</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.007394</td>\n",
+       "      <td>0.018471</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>999</th>\n",
+       "      <td>0.426645</td>\n",
+       "      <td>3.121271e-13</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.251769</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.104469</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.086017</td>\n",
+       "      <td>0.018620</td>\n",
+       "      <td>0.021420</td>\n",
+       "      <td>0.010978</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.005781</td>\n",
+       "      <td>0.074299</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>944 rows × 20 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       aq_gen       gas_gen  HCA-Friedels-ss      CSHQ  straetlingite  \\\n",
+       "0    0.422219  3.492125e-13              0.0  0.306889            0.0   \n",
+       "1    0.366122  3.436806e-13              0.0  0.144766            0.0   \n",
+       "2    0.326306  3.947666e-13              0.0  0.164804            0.0   \n",
+       "3    0.349835  4.463835e-13              0.0  0.323567            0.0   \n",
+       "4    0.379584  3.996415e-13              0.0  0.266418            0.0   \n",
+       "..        ...           ...              ...       ...            ...   \n",
+       "995  0.352678  4.092073e-13              0.0  0.157423            0.0   \n",
+       "996  0.426557  3.428993e-13              0.0  0.231430            0.0   \n",
+       "997  0.436080  3.552561e-13              0.0  0.000000            0.0   \n",
+       "998  0.516478  3.416435e-13              0.0  0.210143            0.0   \n",
+       "999  0.426645  3.121271e-13              0.0  0.251769            0.0   \n",
+       "\n",
+       "     Gibbsite    Belite     C3AH6  C4Ac0_5H12  Portlandite       HAP  \\\n",
+       "0         0.0  0.000000  0.097787         0.0     0.088354  0.004466   \n",
+       "1         0.0  0.000000  0.057969         0.0     0.207437  0.025676   \n",
+       "2         0.0  0.011435  0.045745         0.0     0.236557  0.024834   \n",
+       "3         0.0  0.000000  0.051399         0.0     0.175740  0.021216   \n",
+       "4         0.0  0.000000  0.183942         0.0     0.057216  0.011121   \n",
+       "..        ...       ...       ...         ...          ...       ...   \n",
+       "995       0.0  0.089615  0.108790         0.0     0.126086  0.012524   \n",
+       "996       0.0  0.000000  0.162018         0.0     0.054659  0.017603   \n",
+       "997       0.0  0.159141  0.126889         0.0     0.065790  0.012308   \n",
+       "998       0.0  0.000000  0.050424         0.0     0.128303  0.026676   \n",
+       "999       0.0  0.000000  0.104469         0.0     0.086017  0.018620   \n",
+       "\n",
+       "     Titanite      Iron  Magnetite  Goethite  Troilite  OH-hydrotalcite  \\\n",
+       "0    0.005138  0.010394        0.0       0.0  0.003670         0.061083   \n",
+       "1    0.029537  0.017511        0.0       0.0  0.007224         0.075911   \n",
+       "2    0.028568  0.017944        0.0       0.0  0.007514         0.064572   \n",
+       "3    0.024407  0.018228        0.0       0.0  0.007345         0.028264   \n",
+       "4    0.012793  0.005761        0.0       0.0  0.005237         0.077929   \n",
+       "..        ...       ...        ...       ...       ...              ...   \n",
+       "995  0.014407  0.013788        0.0       0.0  0.005544         0.093235   \n",
+       "996  0.020250  0.007352        0.0       0.0  0.005866         0.074266   \n",
+       "997  0.014159  0.010713        0.0       0.0  0.004947         0.124721   \n",
+       "998  0.030687  0.011424        0.0       0.0  0.007394         0.018471   \n",
+       "999  0.021420  0.010978        0.0       0.0  0.005781         0.074299   \n",
+       "\n",
+       "     Brucite  Pyrochroite  Natrolite  \n",
+       "0        0.0          0.0   0.000000  \n",
+       "1        0.0          0.0   0.067847  \n",
+       "2        0.0          0.0   0.071720  \n",
+       "3        0.0          0.0   0.000000  \n",
+       "4        0.0          0.0   0.000000  \n",
+       "..       ...          ...        ...  \n",
+       "995      0.0          0.0   0.025911  \n",
+       "996      0.0          0.0   0.000000  \n",
+       "997      0.0          0.0   0.045252  \n",
+       "998      0.0          0.0   0.000000  \n",
+       "999      0.0          0.0   0.000000  \n",
+       "\n",
+       "[944 rows x 20 columns]"
+      ]
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "train_output2 = pd_df1[output_keys]\n",
+    "train_output2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "id": "f30568d3-29db-44dc-aff0-79ffbd3cc4e0",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>aq_gen</th>\n",
+       "      <th>gas_gen</th>\n",
+       "      <th>HCA-Friedels-ss</th>\n",
+       "      <th>CSHQ</th>\n",
+       "      <th>straetlingite</th>\n",
+       "      <th>Gibbsite</th>\n",
+       "      <th>Belite</th>\n",
+       "      <th>C3AH6</th>\n",
+       "      <th>C4Ac0_5H12</th>\n",
+       "      <th>Portlandite</th>\n",
+       "      <th>HAP</th>\n",
+       "      <th>Titanite</th>\n",
+       "      <th>Iron</th>\n",
+       "      <th>Magnetite</th>\n",
+       "      <th>Goethite</th>\n",
+       "      <th>Troilite</th>\n",
+       "      <th>OH-hydrotalcite</th>\n",
+       "      <th>Brucite</th>\n",
+       "      <th>Pyrochroite</th>\n",
+       "      <th>Natrolite</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0.422219</td>\n",
+       "      <td>3.492125e-13</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.306889</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.097787</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.088354</td>\n",
+       "      <td>0.004466</td>\n",
+       "      <td>0.005138</td>\n",
+       "      <td>0.010394</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.003670</td>\n",
+       "      <td>0.061083</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0.366122</td>\n",
+       "      <td>3.436806e-13</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.144766</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.057969</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.207437</td>\n",
+       "      <td>0.025676</td>\n",
+       "      <td>0.029537</td>\n",
+       "      <td>0.017511</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.007224</td>\n",
+       "      <td>0.075911</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.067847</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0.326306</td>\n",
+       "      <td>3.947666e-13</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.164804</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.011435</td>\n",
+       "      <td>0.045745</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.236557</td>\n",
+       "      <td>0.024834</td>\n",
+       "      <td>0.028568</td>\n",
+       "      <td>0.017944</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.007514</td>\n",
+       "      <td>0.064572</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.071720</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0.349835</td>\n",
+       "      <td>4.463835e-13</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.323567</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.051399</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.175740</td>\n",
+       "      <td>0.021216</td>\n",
+       "      <td>0.024407</td>\n",
+       "      <td>0.018228</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.007345</td>\n",
+       "      <td>0.028264</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0.379584</td>\n",
+       "      <td>3.996415e-13</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.266418</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.183942</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.057216</td>\n",
+       "      <td>0.011121</td>\n",
+       "      <td>0.012793</td>\n",
+       "      <td>0.005761</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.005237</td>\n",
+       "      <td>0.077929</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>939</th>\n",
+       "      <td>0.352678</td>\n",
+       "      <td>4.092073e-13</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.157423</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.089615</td>\n",
+       "      <td>0.108790</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.126086</td>\n",
+       "      <td>0.012524</td>\n",
+       "      <td>0.014407</td>\n",
+       "      <td>0.013788</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.005544</td>\n",
+       "      <td>0.093235</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.025911</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>940</th>\n",
+       "      <td>0.426557</td>\n",
+       "      <td>3.428993e-13</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.231430</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.162018</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.054659</td>\n",
+       "      <td>0.017603</td>\n",
+       "      <td>0.020250</td>\n",
+       "      <td>0.007352</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.005866</td>\n",
+       "      <td>0.074266</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>941</th>\n",
+       "      <td>0.436080</td>\n",
+       "      <td>3.552561e-13</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.159141</td>\n",
+       "      <td>0.126889</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.065790</td>\n",
+       "      <td>0.012308</td>\n",
+       "      <td>0.014159</td>\n",
+       "      <td>0.010713</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.004947</td>\n",
+       "      <td>0.124721</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.045252</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>942</th>\n",
+       "      <td>0.516478</td>\n",
+       "      <td>3.416435e-13</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.210143</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.050424</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.128303</td>\n",
+       "      <td>0.026676</td>\n",
+       "      <td>0.030687</td>\n",
+       "      <td>0.011424</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.007394</td>\n",
+       "      <td>0.018471</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>943</th>\n",
+       "      <td>0.426645</td>\n",
+       "      <td>3.121271e-13</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.251769</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.104469</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.086017</td>\n",
+       "      <td>0.018620</td>\n",
+       "      <td>0.021420</td>\n",
+       "      <td>0.010978</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.005781</td>\n",
+       "      <td>0.074299</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>944 rows × 20 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       aq_gen       gas_gen  HCA-Friedels-ss      CSHQ  straetlingite  \\\n",
+       "0    0.422219  3.492125e-13              0.0  0.306889            0.0   \n",
+       "1    0.366122  3.436806e-13              0.0  0.144766            0.0   \n",
+       "2    0.326306  3.947666e-13              0.0  0.164804            0.0   \n",
+       "3    0.349835  4.463835e-13              0.0  0.323567            0.0   \n",
+       "4    0.379584  3.996415e-13              0.0  0.266418            0.0   \n",
+       "..        ...           ...              ...       ...            ...   \n",
+       "939  0.352678  4.092073e-13              0.0  0.157423            0.0   \n",
+       "940  0.426557  3.428993e-13              0.0  0.231430            0.0   \n",
+       "941  0.436080  3.552561e-13              0.0  0.000000            0.0   \n",
+       "942  0.516478  3.416435e-13              0.0  0.210143            0.0   \n",
+       "943  0.426645  3.121271e-13              0.0  0.251769            0.0   \n",
+       "\n",
+       "     Gibbsite    Belite     C3AH6  C4Ac0_5H12  Portlandite       HAP  \\\n",
+       "0         0.0  0.000000  0.097787         0.0     0.088354  0.004466   \n",
+       "1         0.0  0.000000  0.057969         0.0     0.207437  0.025676   \n",
+       "2         0.0  0.011435  0.045745         0.0     0.236557  0.024834   \n",
+       "3         0.0  0.000000  0.051399         0.0     0.175740  0.021216   \n",
+       "4         0.0  0.000000  0.183942         0.0     0.057216  0.011121   \n",
+       "..        ...       ...       ...         ...          ...       ...   \n",
+       "939       0.0  0.089615  0.108790         0.0     0.126086  0.012524   \n",
+       "940       0.0  0.000000  0.162018         0.0     0.054659  0.017603   \n",
+       "941       0.0  0.159141  0.126889         0.0     0.065790  0.012308   \n",
+       "942       0.0  0.000000  0.050424         0.0     0.128303  0.026676   \n",
+       "943       0.0  0.000000  0.104469         0.0     0.086017  0.018620   \n",
+       "\n",
+       "     Titanite      Iron  Magnetite  Goethite  Troilite  OH-hydrotalcite  \\\n",
+       "0    0.005138  0.010394        0.0       0.0  0.003670         0.061083   \n",
+       "1    0.029537  0.017511        0.0       0.0  0.007224         0.075911   \n",
+       "2    0.028568  0.017944        0.0       0.0  0.007514         0.064572   \n",
+       "3    0.024407  0.018228        0.0       0.0  0.007345         0.028264   \n",
+       "4    0.012793  0.005761        0.0       0.0  0.005237         0.077929   \n",
+       "..        ...       ...        ...       ...       ...              ...   \n",
+       "939  0.014407  0.013788        0.0       0.0  0.005544         0.093235   \n",
+       "940  0.020250  0.007352        0.0       0.0  0.005866         0.074266   \n",
+       "941  0.014159  0.010713        0.0       0.0  0.004947         0.124721   \n",
+       "942  0.030687  0.011424        0.0       0.0  0.007394         0.018471   \n",
+       "943  0.021420  0.010978        0.0       0.0  0.005781         0.074299   \n",
+       "\n",
+       "     Brucite  Pyrochroite  Natrolite  \n",
+       "0        0.0          0.0   0.000000  \n",
+       "1        0.0          0.0   0.067847  \n",
+       "2        0.0          0.0   0.071720  \n",
+       "3        0.0          0.0   0.000000  \n",
+       "4        0.0          0.0   0.000000  \n",
+       "..       ...          ...        ...  \n",
+       "939      0.0          0.0   0.025911  \n",
+       "940      0.0          0.0   0.000000  \n",
+       "941      0.0          0.0   0.045252  \n",
+       "942      0.0          0.0   0.000000  \n",
+       "943      0.0          0.0   0.000000  \n",
+       "\n",
+       "[944 rows x 20 columns]"
+      ]
+     },
+     "execution_count": 28,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "train_output2 = train_output2.reset_index(drop= True)\n",
+    "train_output2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "id": "ff4ececc-143e-4b82-9308-224ad33fe4f0",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "aq_gen             3.526555e+02\n",
+       "gas_gen            3.797623e-10\n",
+       "HCA-Friedels-ss    1.175718e-06\n",
+       "CSHQ               1.912291e+02\n",
+       "straetlingite      1.989446e-01\n",
+       "Gibbsite           1.059060e-02\n",
+       "Belite             3.810972e+01\n",
+       "C3AH6              1.062762e+02\n",
+       "C4Ac0_5H12         5.213642e-05\n",
+       "Portlandite        1.139746e+02\n",
+       "HAP                1.561821e+01\n",
+       "Titanite           1.796670e+01\n",
+       "Iron               1.103446e+01\n",
+       "Magnetite          1.371446e-02\n",
+       "Goethite           6.520239e-03\n",
+       "Troilite           5.659048e+00\n",
+       "OH-hydrotalcite    7.218819e+01\n",
+       "Brucite            2.690386e-01\n",
+       "Pyrochroite        4.590890e-12\n",
+       "Natrolite          1.878943e+01\n",
+       "dtype: float64"
+      ]
+     },
+     "execution_count": 29,
+     "metadata": {},
+     "output_type": "execute_result"
     }
    ],
    "source": [
-    "# Import relevant packages\n",
-    "import xgems\n",
-    "from util.create_data import add_new_material\n",
-    "from util.create_data import create_sobol_sequence\n",
-    "from util.create_data import complete_hydration_from_data\n",
-    "\n",
-    "import pandas as pd\n",
-    "import numpy as np\n",
-    "from prop.elastic_moduli import data_elastic_moduli\n",
-    "from prop.energy import energy_emission_data, CO2_emission\n",
-    "\n",
-    "data_path = '/mnt/disk1/projects/Cement/02-Software_and_Models/Models/InputData/'"
+    "train_output2.sum()"
    ]
   },
   {
-   "cell_type": "markdown",
-   "id": "c802c5fa-235c-46f5-a245-4ad2262de572",
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ab78d85b-de08-49a0-91bc-c8259073985a",
    "metadata": {},
-   "source": [
-    "# Data for Cement hydration"
-   ]
+   "outputs": [],
+   "source": []
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
-   "id": "bd34754f-56c2-4a37-a647-cbc92193751c",
+   "execution_count": null,
+   "id": "f045d5df-88c1-4a3b-8166-a29bfd64afc7",
    "metadata": {},
    "outputs": [],
    "source": [
-    "# create cement recipes using Sobol sequences\n",
-    "\n",
-    "n_sample = 10 #number of sample is 2^n_sample #here 1024\n",
-    "test_n_sample = 6\n",
-    "cook_book = {} #possible parameters for the cement recipe\n",
-    "\n",
-    "clinker_phases = {}\n",
-    "clinker_phases[\"C3S\"]=64.6 #alite\n",
-    "clinker_phases[\"C2S\"]=9.3 #belite\n",
-    "clinker_phases[\"C3A\"]=7.4 #tricalcium aluminate\n",
-    "clinker_phases[\"C4AF\"]=7.8 #calcium aluminofernite\n",
-    "clinker_phases['bounds'] = {\"C3S\":(45,80), \"C2S\": (0,32), \"C3A\":(4,14), \"C4AF\":(7,15)} #bounds from Ullmann's Encyclopedia of Industrial Chemistry\n",
-    "\n",
-    "#add clinkers to the cook book\n",
-    "cook_book['clink_phase'] = clinker_phases\n",
-    "\n",
-    "# add materials and properties to the cook book\n",
-    "add_new_material(cook_book, 'RH', 1)# relative humidity\n",
-    "add_new_material(cook_book, 'T', 25)# temperature\n",
-    "add_new_material(cook_book,'fineness', 385)\n",
-    "add_new_material(cook_book,'wc', 0.5, (0.3,0.7))# bounds given by Dr. Dmitrii Kulik from PSI\n",
-    "add_new_material(cook_book,'CSH2', 2.2, (1.0,5.0))# OPC has 2-3% gypsum\n",
-    "add_new_material(cook_book,'limestone', 1.0, (0,30))#https://ecra-online.org/newsletters/high-limestone-content-in-cement-an-important-step-towards-decarbonisation/#:~:text=The%20content%20of%20limestone%20has,the%20clinker%20content%20of%20cement.\n",
-    "add_new_material(cook_book,'silica_fume', 1.0, (0,30))# https://microsilica-fume.com/much-silica-fume-add-concrete.html#:~:text=the%20content%20of%20micro%20silica,to%2010%25%20of%20cementitious%20material. #https://www.researchgate.net/publication/327671198_Effect_of_Replacement_of_Cement_by_Different_Percentages_of_Silica_Fume\n",
-    "add_new_material(cook_book,'GGBFS', 1.0, (0,30)) # between 20 and 80% for concrete https://link.springer.com/chapter/10.1007/978-3-319-70606-1_1\n",
-    "add_new_material(cook_book,'fly_ash', 1.0, (0,30)) # between 15 to 30 % https://www.fhwa.dot.gov/pavement/recycling/fach03.cfm#:~:text=Typically%2C%2015%20percent%20to%2030,%3A1%20to%201.5%3A1.\n",
-    "add_new_material(cook_book,'calcined_clay', 1.0, (0,30)) # https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7660299/\n",
-    "\n",
-    "# if one wants to add unknown materials to the cook_book, please enter the recipe in the SCM dictionnary in final_hydration.py \n",
-    "\n",
-    "#create recipe from the cook book\n",
-    "train_input = pd.DataFrame(create_sobol_sequence(cook_book, n_sample))\n",
-    "#set the output materials of hydration\n",
-    "# this one is very limited, could be extended in future work to have all the details for elastic moduli\n",
-    "output_materials = ['aq_gen', 'CSHQ', 'Portlandite', 'C3AH6'] #, 'ettringite-AlFe', 'C4AsH12','C4AsH12'(Afm), 'SiO2'(silicate fume), 'ettringite-AlFe' \n",
-    "output_materials = [\"Alite\", \"Belite\", \"Aluminate\", \"Ferrite\", \"Portlandite\", \"C3AH6\", \"C4AsH12\", \"aq_gen\",  \"ettringite-AlFe\", \"hemihydrate\", \"Anhydrite\",\"arcanite\",\"thenardite\",\"CSHQ\", \"C3AH6\",\"monosulph-AlFe\" ]\n",
     "\n",
     "\n",
     "\n"
@@ -97,106 +26758,90 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
-   "id": "ec1f8fea-dc4b-4696-a41f-9be89fa7b8b4",
+   "execution_count": 42,
+   "id": "96c686af-bfbf-47c4-bd24-9c090c8b1284",
    "metadata": {},
    "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "id": "7fb3f935-1a47-474c-967b-ced07100b3c4",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
    "source": [
-    "# Hydration using GEMS\n",
-    "to_drop, train_output,pd_vol_frac = complete_hydration_from_data(train_input, output_materials, False)\n"
+    "name = '_LHS_1000_fin_'\n",
+    "#save failed recipe\n",
+    "input.iloc[to_drop].to_csv(data_path+'/failed_recipe'+name+'.csv')\n",
+    "\n",
+    "#save successful recipes and hydration product\n",
+    "train_input = input.drop(to_drop, axis =0)\n",
+    "train_input = train_input.reset_index(drop=True)\n",
+    "train_input.to_csv(data_path+'/recipe_data'+name+'.csv')\n",
+    "train_output2.to_csv(data_path+'/final_hydration'+name+'.csv')\n"
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": 17,
-   "id": "edfef727-0078-44ec-bcd8-6a081e9ec94f",
+   "cell_type": "markdown",
+   "id": "545c3792-039f-42eb-9b83-6756c1961b6a",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "aq_gen             2.564008e-01\n",
-       "gas_gen            5.162553e-13\n",
-       "HCA-Friedels-ss    0.000000e+00\n",
-       "C3(AF)S0_84H       0.000000e+00\n",
-       "CSHQ               3.718663e-01\n",
-       "                       ...     \n",
-       "Quartz             0.000000e+00\n",
-       "Silica-amorph      0.000000e+00\n",
-       "Strontianite       0.000000e+00\n",
-       "Celestite          0.000000e+00\n",
-       "Rutile             0.000000e+00\n",
-       "Length: 110, dtype: float64"
-      ]
-     },
-     "execution_count": 17,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
    "source": [
-    "pd_vol_frac['0']"
+    "# Data for Elastic Moduli of Cement Paste"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
-   "id": "390cc3a0-915e-49f1-bab4-4b9cf9eef586",
+   "execution_count": 31,
+   "id": "0fb3dede-eebc-4830-9b81-4af10b177714",
    "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "aq_gen             3.344622e+02\n",
-       "gas_gen            4.536219e-10\n",
-       "HCA-Friedels-ss    3.153671e-03\n",
-       "C3(AF)S0_84H       1.240657e+00\n",
-       "CSHQ               3.084200e+02\n",
-       "                       ...     \n",
-       "Quartz             0.000000e+00\n",
-       "Silica-amorph      0.000000e+00\n",
-       "Strontianite       0.000000e+00\n",
-       "Celestite          4.234730e-12\n",
-       "Rutile             0.000000e+00\n",
-       "Length: 110, dtype: float64"
-      ]
-     },
-     "execution_count": 20,
-     "metadata": {},
-     "output_type": "execute_result"
+     "ename": "FileNotFoundError",
+     "evalue": "[Errno 2] No such file or directory: '/mnt/disk1/projects/Cement/02-Software_and_Models/Models/InputData//final_hydration_LHS_10000_.csv'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mFileNotFoundError\u001b[0m                         Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[31], line 4\u001b[0m\n\u001b[1;32m      2\u001b[0m name \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m_LHS_10000_\u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[1;32m      3\u001b[0m file_hydr \u001b[38;5;241m=\u001b[39m data_path \u001b[38;5;241m+\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m/final_hydration\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;241m+\u001b[39mname\u001b[38;5;241m+\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m.csv\u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[0;32m----> 4\u001b[0m data_hydr \u001b[38;5;241m=\u001b[39m \u001b[43mpd\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mread_csv\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfile_hydr\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mindex_col\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m      6\u001b[0m file_recipe \u001b[38;5;241m=\u001b[39m data_path \u001b[38;5;241m+\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m/recipe_data\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;241m+\u001b[39mname\u001b[38;5;241m+\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m.csv\u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[1;32m      7\u001b[0m data_recipe \u001b[38;5;241m=\u001b[39m pd\u001b[38;5;241m.\u001b[39mread_csv(file_recipe, index_col \u001b[38;5;241m=\u001b[39m [\u001b[38;5;241m0\u001b[39m])\n",
+      "File \u001b[0;32m/mnt/disk1/anaconda3/envs/gems/lib/python3.10/site-packages/pandas/io/parsers/readers.py:1024\u001b[0m, in \u001b[0;36mread_csv\u001b[0;34m(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, date_format, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, encoding_errors, dialect, on_bad_lines, delim_whitespace, low_memory, memory_map, float_precision, storage_options, dtype_backend)\u001b[0m\n\u001b[1;32m   1011\u001b[0m kwds_defaults \u001b[38;5;241m=\u001b[39m _refine_defaults_read(\n\u001b[1;32m   1012\u001b[0m     dialect,\n\u001b[1;32m   1013\u001b[0m     delimiter,\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m   1020\u001b[0m     dtype_backend\u001b[38;5;241m=\u001b[39mdtype_backend,\n\u001b[1;32m   1021\u001b[0m )\n\u001b[1;32m   1022\u001b[0m kwds\u001b[38;5;241m.\u001b[39mupdate(kwds_defaults)\n\u001b[0;32m-> 1024\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43m_read\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfilepath_or_buffer\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkwds\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m/mnt/disk1/anaconda3/envs/gems/lib/python3.10/site-packages/pandas/io/parsers/readers.py:618\u001b[0m, in \u001b[0;36m_read\u001b[0;34m(filepath_or_buffer, kwds)\u001b[0m\n\u001b[1;32m    615\u001b[0m _validate_names(kwds\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mnames\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28;01mNone\u001b[39;00m))\n\u001b[1;32m    617\u001b[0m \u001b[38;5;66;03m# Create the parser.\u001b[39;00m\n\u001b[0;32m--> 618\u001b[0m parser \u001b[38;5;241m=\u001b[39m \u001b[43mTextFileReader\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfilepath_or_buffer\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwds\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    620\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m chunksize \u001b[38;5;129;01mor\u001b[39;00m iterator:\n\u001b[1;32m    621\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m parser\n",
+      "File \u001b[0;32m/mnt/disk1/anaconda3/envs/gems/lib/python3.10/site-packages/pandas/io/parsers/readers.py:1618\u001b[0m, in \u001b[0;36mTextFileReader.__init__\u001b[0;34m(self, f, engine, **kwds)\u001b[0m\n\u001b[1;32m   1615\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39moptions[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhas_index_names\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m kwds[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhas_index_names\u001b[39m\u001b[38;5;124m\"\u001b[39m]\n\u001b[1;32m   1617\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles: IOHandles \u001b[38;5;241m|\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[0;32m-> 1618\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_engine \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_make_engine\u001b[49m\u001b[43m(\u001b[49m\u001b[43mf\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mengine\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m/mnt/disk1/anaconda3/envs/gems/lib/python3.10/site-packages/pandas/io/parsers/readers.py:1878\u001b[0m, in \u001b[0;36mTextFileReader._make_engine\u001b[0;34m(self, f, engine)\u001b[0m\n\u001b[1;32m   1876\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mb\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m mode:\n\u001b[1;32m   1877\u001b[0m         mode \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mb\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m-> 1878\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles \u001b[38;5;241m=\u001b[39m \u001b[43mget_handle\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m   1879\u001b[0m \u001b[43m    \u001b[49m\u001b[43mf\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1880\u001b[0m \u001b[43m    \u001b[49m\u001b[43mmode\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1881\u001b[0m \u001b[43m    \u001b[49m\u001b[43mencoding\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mencoding\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1882\u001b[0m \u001b[43m    \u001b[49m\u001b[43mcompression\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mcompression\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1883\u001b[0m \u001b[43m    \u001b[49m\u001b[43mmemory_map\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mmemory_map\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1884\u001b[0m \u001b[43m    \u001b[49m\u001b[43mis_text\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mis_text\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1885\u001b[0m \u001b[43m    \u001b[49m\u001b[43merrors\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mencoding_errors\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mstrict\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1886\u001b[0m \u001b[43m    \u001b[49m\u001b[43mstorage_options\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mstorage_options\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1887\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1888\u001b[0m \u001b[38;5;28;01massert\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m   1889\u001b[0m f \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles\u001b[38;5;241m.\u001b[39mhandle\n",
+      "File \u001b[0;32m/mnt/disk1/anaconda3/envs/gems/lib/python3.10/site-packages/pandas/io/common.py:873\u001b[0m, in \u001b[0;36mget_handle\u001b[0;34m(path_or_buf, mode, encoding, compression, memory_map, is_text, errors, storage_options)\u001b[0m\n\u001b[1;32m    868\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(handle, \u001b[38;5;28mstr\u001b[39m):\n\u001b[1;32m    869\u001b[0m     \u001b[38;5;66;03m# Check whether the filename is to be opened in binary mode.\u001b[39;00m\n\u001b[1;32m    870\u001b[0m     \u001b[38;5;66;03m# Binary mode does not support 'encoding' and 'newline'.\u001b[39;00m\n\u001b[1;32m    871\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m ioargs\u001b[38;5;241m.\u001b[39mencoding \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mb\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m ioargs\u001b[38;5;241m.\u001b[39mmode:\n\u001b[1;32m    872\u001b[0m         \u001b[38;5;66;03m# Encoding\u001b[39;00m\n\u001b[0;32m--> 873\u001b[0m         handle \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mopen\u001b[39;49m\u001b[43m(\u001b[49m\n\u001b[1;32m    874\u001b[0m \u001b[43m            \u001b[49m\u001b[43mhandle\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    875\u001b[0m \u001b[43m            \u001b[49m\u001b[43mioargs\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmode\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    876\u001b[0m \u001b[43m            \u001b[49m\u001b[43mencoding\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mioargs\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mencoding\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    877\u001b[0m \u001b[43m            \u001b[49m\u001b[43merrors\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43merrors\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    878\u001b[0m \u001b[43m            \u001b[49m\u001b[43mnewline\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m    879\u001b[0m \u001b[43m        \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    880\u001b[0m     \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m    881\u001b[0m         \u001b[38;5;66;03m# Binary mode\u001b[39;00m\n\u001b[1;32m    882\u001b[0m         handle \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mopen\u001b[39m(handle, ioargs\u001b[38;5;241m.\u001b[39mmode)\n",
+      "\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: '/mnt/disk1/projects/Cement/02-Software_and_Models/Models/InputData//final_hydration_LHS_10000_.csv'"
+     ]
     }
    ],
    "source": [
-    "pd_df = pd.DataFrame(pd_vol_frac)\n",
-    "list_pd = pd_df.sum(axis = 1)\n",
-    "list_pd"
+    "# Import data\n",
+    "name = '_LHS_10000_'\n",
+    "file_hydr = data_path +'/final_hydration'+name+'.csv'\n",
+    "data_hydr = pd.read_csv(file_hydr, index_col=[0])\n",
+    "\n",
+    "file_recipe = data_path + '/recipe_data'+name+'.csv'\n",
+    "data_recipe = pd.read_csv(file_recipe, index_col = [0])\n",
+    "data_recipe = data_recipe.reset_index(drop=True)\n",
+    "#data_hydr = data_hydr.reset_index(drop=True)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
-   "id": "558a8004-8906-4b00-9cb2-e74213412517",
+   "execution_count": 16,
+   "id": "f215b1dd-0a47-49d1-a666-235bd2566d0e",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "26"
-      ]
-     },
-     "execution_count": 23,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
-    "len(list_pd[list_pd >0].sort_values())"
+    "#data_hydr = data_hydr.transpose()\n",
+    "#data_hydr"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
-   "id": "01deb4fb-77be-4f6d-9ff7-526473bffa88",
+   "execution_count": 17,
+   "id": "d685c14e-ef78-4c27-b9a7-21766d02ad66",
    "metadata": {},
    "outputs": [
     {
@@ -220,125 +26865,149 @@
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
-       "      <th>Alite</th>\n",
-       "      <th>Belite</th>\n",
-       "      <th>Aluminate</th>\n",
-       "      <th>Ferrite</th>\n",
-       "      <th>Portlandite</th>\n",
-       "      <th>C3AH6</th>\n",
-       "      <th>C4AsH12</th>\n",
        "      <th>aq_gen</th>\n",
-       "      <th>ettringite-AlFe</th>\n",
-       "      <th>hemihydrate</th>\n",
-       "      <th>Anhydrite</th>\n",
-       "      <th>arcanite</th>\n",
-       "      <th>thenardite</th>\n",
+       "      <th>gas_gen</th>\n",
+       "      <th>HCA-Friedels-ss</th>\n",
        "      <th>CSHQ</th>\n",
+       "      <th>straetlingite</th>\n",
+       "      <th>SO4_OH_AFm</th>\n",
+       "      <th>Gibbsite</th>\n",
+       "      <th>Belite</th>\n",
        "      <th>C3AH6</th>\n",
-       "      <th>monosulph-AlFe</th>\n",
-       "      <th>other_material</th>\n",
+       "      <th>C4Ac0_5H12</th>\n",
+       "      <th>...</th>\n",
+       "      <th>Titanite</th>\n",
+       "      <th>Iron</th>\n",
+       "      <th>Magnetite</th>\n",
+       "      <th>Goethite</th>\n",
+       "      <th>Pyrite</th>\n",
+       "      <th>Troilite</th>\n",
+       "      <th>OH-hydrotalcite</th>\n",
+       "      <th>Brucite</th>\n",
+       "      <th>Pyrochroite</th>\n",
+       "      <th>Natrolite</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
+       "      <td>0.384401</td>\n",
+       "      <td>3.573669e-13</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.000000</td>\n",
+       "      <td>0.114332</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.127596</td>\n",
-       "      <td>0.151522</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.256401</td>\n",
+       "      <td>0.077937</td>\n",
+       "      <td>0.119594</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.018225</td>\n",
+       "      <td>0.013187</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>0.005663</td>\n",
+       "      <td>0.108712</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.371866</td>\n",
-       "      <td>0.151522</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.092614</td>\n",
+       "      <td>0.044039</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
+       "      <td>0.343840</td>\n",
+       "      <td>3.638728e-13</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.000000</td>\n",
+       "      <td>0.193853</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.075708</td>\n",
-       "      <td>0.133808</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.420766</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.086410</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.024300</td>\n",
+       "      <td>0.017485</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>0.006633</td>\n",
+       "      <td>0.082092</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.241661</td>\n",
-       "      <td>0.133808</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.128056</td>\n",
+       "      <td>0.048828</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
+       "      <td>0.431903</td>\n",
+       "      <td>4.176996e-13</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.000000</td>\n",
+       "      <td>0.227122</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.047929</td>\n",
-       "      <td>0.122995</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.500409</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.099516</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.034396</td>\n",
+       "      <td>0.009717</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>0.008582</td>\n",
+       "      <td>0.029083</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.208371</td>\n",
-       "      <td>0.122995</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.120296</td>\n",
+       "      <td>0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
+       "      <td>0.388702</td>\n",
+       "      <td>3.098643e-13</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.039411</td>\n",
+       "      <td>0.256602</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.204577</td>\n",
-       "      <td>0.204717</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.101462</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.165884</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.012181</td>\n",
+       "      <td>0.011497</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>0.004398</td>\n",
+       "      <td>0.103551</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.365695</td>\n",
-       "      <td>0.204717</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.084138</td>\n",
+       "      <td>0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
+       "      <td>0.258245</td>\n",
+       "      <td>5.516043e-13</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.051312</td>\n",
+       "      <td>0.052604</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.241644</td>\n",
-       "      <td>0.189959</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.002013</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.012070</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.051066</td>\n",
+       "      <td>0.012988</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>0.012169</td>\n",
+       "      <td>0.031221</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.467000</td>\n",
-       "      <td>0.189959</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.048072</td>\n",
+       "      <td>0.152717</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>...</th>\n",
@@ -359,289 +27028,304 @@
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1018</th>\n",
+       "      <th>9444</th>\n",
+       "      <td>0.433335</td>\n",
+       "      <td>3.269800e-13</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.030826</td>\n",
+       "      <td>0.307479</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.186924</td>\n",
-       "      <td>0.252438</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.082210</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.074893</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.005470</td>\n",
+       "      <td>0.009955</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>0.003535</td>\n",
+       "      <td>0.065369</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.373520</td>\n",
-       "      <td>0.252438</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.074081</td>\n",
+       "      <td>0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1019</th>\n",
+       "      <th>9445</th>\n",
+       "      <td>0.405759</td>\n",
+       "      <td>4.018803e-13</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.000000</td>\n",
+       "      <td>0.049353</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.190318</td>\n",
-       "      <td>0.175415</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.079130</td>\n",
+       "      <td>0.200094</td>\n",
+       "      <td>0.189970</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.000325</td>\n",
+       "      <td>0.013460</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>0.003370</td>\n",
+       "      <td>0.126970</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.502500</td>\n",
-       "      <td>0.175415</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.052636</td>\n",
+       "      <td>0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1020</th>\n",
+       "      <th>9446</th>\n",
+       "      <td>0.394793</td>\n",
+       "      <td>2.895759e-13</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.000000</td>\n",
+       "      <td>0.236304</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.035717</td>\n",
-       "      <td>0.121035</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.544218</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.158278</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.014730</td>\n",
+       "      <td>0.010679</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>0.004598</td>\n",
+       "      <td>0.111133</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.172391</td>\n",
-       "      <td>0.121035</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.126638</td>\n",
+       "      <td>0.008914</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1021</th>\n",
+       "      <th>9447</th>\n",
+       "      <td>0.470212</td>\n",
+       "      <td>3.523275e-13</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.000000</td>\n",
+       "      <td>0.283643</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.061889</td>\n",
-       "      <td>0.143808</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.442830</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.061544</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.010676</td>\n",
+       "      <td>0.012897</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>0.004509</td>\n",
+       "      <td>0.035568</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.233778</td>\n",
-       "      <td>0.143808</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.117694</td>\n",
+       "      <td>0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1022</th>\n",
+       "      <th>9448</th>\n",
+       "      <td>0.302940</td>\n",
+       "      <td>4.393055e-13</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.000000</td>\n",
+       "      <td>0.244998</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.122432</td>\n",
-       "      <td>0.141483</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.302438</td>\n",
+       "      <td>0.077882</td>\n",
+       "      <td>0.165820</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.000036</td>\n",
+       "      <td>0.017022</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>0.003688</td>\n",
+       "      <td>0.099100</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.307694</td>\n",
-       "      <td>0.141483</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.125952</td>\n",
+       "      <td>0.000000</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>1023 rows × 17 columns</p>\n",
+       "<p>9449 rows × 22 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "      Alite    Belite  Aluminate  Ferrite  Portlandite     C3AH6  C4AsH12  \\\n",
-       "0       0.0  0.000000        0.0      0.0     0.127596  0.151522      0.0   \n",
-       "1       0.0  0.000000        0.0      0.0     0.075708  0.133808      0.0   \n",
-       "2       0.0  0.000000        0.0      0.0     0.047929  0.122995      0.0   \n",
-       "3       0.0  0.039411        0.0      0.0     0.204577  0.204717      0.0   \n",
-       "4       0.0  0.051312        0.0      0.0     0.241644  0.189959      0.0   \n",
-       "...     ...       ...        ...      ...          ...       ...      ...   \n",
-       "1018    0.0  0.030826        0.0      0.0     0.186924  0.252438      0.0   \n",
-       "1019    0.0  0.000000        0.0      0.0     0.190318  0.175415      0.0   \n",
-       "1020    0.0  0.000000        0.0      0.0     0.035717  0.121035      0.0   \n",
-       "1021    0.0  0.000000        0.0      0.0     0.061889  0.143808      0.0   \n",
-       "1022    0.0  0.000000        0.0      0.0     0.122432  0.141483      0.0   \n",
-       "\n",
-       "        aq_gen  ettringite-AlFe  hemihydrate  Anhydrite  arcanite  thenardite  \\\n",
-       "0     0.256401              0.0          0.0        0.0       0.0         0.0   \n",
-       "1     0.420766              0.0          0.0        0.0       0.0         0.0   \n",
-       "2     0.500409              0.0          0.0        0.0       0.0         0.0   \n",
-       "3     0.101462              0.0          0.0        0.0       0.0         0.0   \n",
-       "4     0.002013              0.0          0.0        0.0       0.0         0.0   \n",
-       "...        ...              ...          ...        ...       ...         ...   \n",
-       "1018  0.082210              0.0          0.0        0.0       0.0         0.0   \n",
-       "1019  0.079130              0.0          0.0        0.0       0.0         0.0   \n",
-       "1020  0.544218              0.0          0.0        0.0       0.0         0.0   \n",
-       "1021  0.442830              0.0          0.0        0.0       0.0         0.0   \n",
-       "1022  0.302438              0.0          0.0        0.0       0.0         0.0   \n",
-       "\n",
-       "          CSHQ     C3AH6  monosulph-AlFe  other_material  \n",
-       "0     0.371866  0.151522             0.0        0.092614  \n",
-       "1     0.241661  0.133808             0.0        0.128056  \n",
-       "2     0.208371  0.122995             0.0        0.120296  \n",
-       "3     0.365695  0.204717             0.0        0.084138  \n",
-       "4     0.467000  0.189959             0.0        0.048072  \n",
-       "...        ...       ...             ...             ...  \n",
-       "1018  0.373520  0.252438             0.0        0.074081  \n",
-       "1019  0.502500  0.175415             0.0        0.052636  \n",
-       "1020  0.172391  0.121035             0.0        0.126638  \n",
-       "1021  0.233778  0.143808             0.0        0.117694  \n",
-       "1022  0.307694  0.141483             0.0        0.125952  \n",
-       "\n",
-       "[1023 rows x 17 columns]"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "train_output1 = train_output.transpose()\n",
-    "train_output1 = train_output1.reset_index(drop = True)\n",
-    "train_output1"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "id": "4116c678-8a86-4875-815d-f49d39097b89",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Alite                0.000000\n",
-       "Belite               5.259301\n",
-       "Aluminate            0.000000\n",
-       "Ferrite              0.000000\n",
-       "Portlandite        115.178088\n",
-       "C3AH6              151.423213\n",
-       "C4AsH12              0.000150\n",
-       "aq_gen             334.462188\n",
-       "ettringite-AlFe      0.000000\n",
-       "hemihydrate          0.000000\n",
-       "Anhydrite            0.000000\n",
-       "arcanite             0.000000\n",
-       "thenardite           0.000000\n",
-       "CSHQ               308.419957\n",
-       "C3AH6              151.423213\n",
-       "monosulph-AlFe       0.121045\n",
-       "other_material     108.136059\n",
-       "dtype: float64"
+       "        aq_gen       gas_gen  HCA-Friedels-ss      CSHQ  straetlingite  \\\n",
+       "0     0.384401  3.573669e-13              0.0  0.114332            0.0   \n",
+       "1     0.343840  3.638728e-13              0.0  0.193853            0.0   \n",
+       "2     0.431903  4.176996e-13              0.0  0.227122            0.0   \n",
+       "3     0.388702  3.098643e-13              0.0  0.256602            0.0   \n",
+       "4     0.258245  5.516043e-13              0.0  0.052604            0.0   \n",
+       "...        ...           ...              ...       ...            ...   \n",
+       "9444  0.433335  3.269800e-13              0.0  0.307479            0.0   \n",
+       "9445  0.405759  4.018803e-13              0.0  0.049353            0.0   \n",
+       "9446  0.394793  2.895759e-13              0.0  0.236304            0.0   \n",
+       "9447  0.470212  3.523275e-13              0.0  0.283643            0.0   \n",
+       "9448  0.302940  4.393055e-13              0.0  0.244998            0.0   \n",
+       "\n",
+       "      SO4_OH_AFm  Gibbsite    Belite     C3AH6  C4Ac0_5H12  ...  Titanite  \\\n",
+       "0            0.0       0.0  0.077937  0.119594         0.0  ...  0.018225   \n",
+       "1            0.0       0.0  0.000000  0.086410         0.0  ...  0.024300   \n",
+       "2            0.0       0.0  0.000000  0.099516         0.0  ...  0.034396   \n",
+       "3            0.0       0.0  0.000000  0.165884         0.0  ...  0.012181   \n",
+       "4            0.0       0.0  0.000000  0.012070         0.0  ...  0.051066   \n",
+       "...          ...       ...       ...       ...         ...  ...       ...   \n",
+       "9444         0.0       0.0  0.000000  0.074893         0.0  ...  0.005470   \n",
+       "9445         0.0       0.0  0.200094  0.189970         0.0  ...  0.000325   \n",
+       "9446         0.0       0.0  0.000000  0.158278         0.0  ...  0.014730   \n",
+       "9447         0.0       0.0  0.000000  0.061544         0.0  ...  0.010676   \n",
+       "9448         0.0       0.0  0.077882  0.165820         0.0  ...  0.000036   \n",
+       "\n",
+       "          Iron  Magnetite  Goethite  Pyrite  Troilite  OH-hydrotalcite  \\\n",
+       "0     0.013187        0.0       0.0     0.0  0.005663         0.108712   \n",
+       "1     0.017485        0.0       0.0     0.0  0.006633         0.082092   \n",
+       "2     0.009717        0.0       0.0     0.0  0.008582         0.029083   \n",
+       "3     0.011497        0.0       0.0     0.0  0.004398         0.103551   \n",
+       "4     0.012988        0.0       0.0     0.0  0.012169         0.031221   \n",
+       "...        ...        ...       ...     ...       ...              ...   \n",
+       "9444  0.009955        0.0       0.0     0.0  0.003535         0.065369   \n",
+       "9445  0.013460        0.0       0.0     0.0  0.003370         0.126970   \n",
+       "9446  0.010679        0.0       0.0     0.0  0.004598         0.111133   \n",
+       "9447  0.012897        0.0       0.0     0.0  0.004509         0.035568   \n",
+       "9448  0.017022        0.0       0.0     0.0  0.003688         0.099100   \n",
+       "\n",
+       "      Brucite  Pyrochroite  Natrolite  \n",
+       "0         0.0          0.0   0.044039  \n",
+       "1         0.0          0.0   0.048828  \n",
+       "2         0.0          0.0   0.000000  \n",
+       "3         0.0          0.0   0.000000  \n",
+       "4         0.0          0.0   0.152717  \n",
+       "...       ...          ...        ...  \n",
+       "9444      0.0          0.0   0.000000  \n",
+       "9445      0.0          0.0   0.000000  \n",
+       "9446      0.0          0.0   0.008914  \n",
+       "9447      0.0          0.0   0.000000  \n",
+       "9448      0.0          0.0   0.000000  \n",
+       "\n",
+       "[9449 rows x 22 columns]"
       ]
      },
-     "execution_count": 11,
+     "execution_count": 17,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "train_output1.sum()"
+    "data_hydr"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
-   "id": "7fb3f935-1a47-474c-967b-ced07100b3c4",
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [
-    {
-     "ename": "NameError",
-     "evalue": "name 'train_input' is not defined",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
-      "Cell \u001b[0;32mIn[10], line 3\u001b[0m\n\u001b[1;32m      1\u001b[0m name \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m_10_all_output_lower_bounds\u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[1;32m      2\u001b[0m \u001b[38;5;66;03m#save failed recipe\u001b[39;00m\n\u001b[0;32m----> 3\u001b[0m \u001b[43mtrain_input\u001b[49m\u001b[38;5;241m.\u001b[39miloc[to_drop]\u001b[38;5;241m.\u001b[39mto_csv(data_path\u001b[38;5;241m+\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m/failed_recipe\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;241m+\u001b[39mname\u001b[38;5;241m+\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m.csv\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m      5\u001b[0m \u001b[38;5;66;03m#save successful recipes and hydration product\u001b[39;00m\n\u001b[1;32m      6\u001b[0m train_input \u001b[38;5;241m=\u001b[39m train_input\u001b[38;5;241m.\u001b[39mdrop(to_drop, axis \u001b[38;5;241m=\u001b[39m\u001b[38;5;241m0\u001b[39m)\n",
-      "\u001b[0;31mNameError\u001b[0m: name 'train_input' is not defined"
-     ]
-    }
-   ],
-   "source": [
-    "name = '_10_all_output_lower_bounds'\n",
-    "#save failed recipe\n",
-    "train_input.iloc[to_drop].to_csv(data_path+'/failed_recipe'+name+'.csv')\n",
-    "\n",
-    "#save successful recipes and hydration product\n",
-    "train_input = train_input.drop(to_drop, axis =0)\n",
-    "train_input = train_input.reset_index(drop=True)\n",
-    "train_input.to_csv(data_path+'/recipe_data'+name+'.csv')\n",
-    "train_output.to_csv(data_path+'/final_hydration'+name+'.csv')\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "545c3792-039f-42eb-9b83-6756c1961b6a",
+   "execution_count": null,
+   "id": "3f774bba-9d4e-4fb2-9da1-53942c1b748e",
    "metadata": {},
-   "source": [
-    "# Data for Elastic Moduli of Cement Paste"
-   ]
+   "outputs": [],
+   "source": []
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
-   "id": "0fb3dede-eebc-4830-9b81-4af10b177714",
+   "execution_count": null,
+   "id": "e4006eab-41aa-4139-ab33-502a5f720cb8",
    "metadata": {},
    "outputs": [],
-   "source": [
-    "# Import data\n",
-    "name = '_10_all_output_lower_bounds'\n",
-    "file_hydr = data_path +'/final_hydration'+name+'.csv'\n",
-    "data_hydr = pd.read_csv(file_hydr, index_col=[0])\n",
-    "\n",
-    "file_recipe = data_path + '/recipe_data'+name+'.csv'\n",
-    "data_recipe = pd.read_csv(file_recipe, index_col = [0])\n",
-    "data_recipe = data_recipe.reset_index(drop=True)\n",
-    "#data_hydr = data_hydr.reset_index(drop=True)"
-   ]
+   "source": []
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
-   "id": "f215b1dd-0a47-49d1-a666-235bd2566d0e",
+   "execution_count": null,
+   "id": "871a1d5e-871b-4240-b2bf-74b738166455",
    "metadata": {},
    "outputs": [],
-   "source": [
-    "data_hydr = data_hydr.transpose()\n",
-    "#data_hydr"
-   ]
+   "source": []
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
-   "id": "e35702a3-9cf2-4876-ae4f-afc5740c032f",
+   "execution_count": 18,
+   "id": "61d32ee4-3cde-411a-9d2a-7e38925c52b3",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Pyrochroite        3.776729e-11\n",
+       "gas_gen            3.799340e-09\n",
+       "C4Ac0_5H12         2.844350e-06\n",
+       "Pyrite             2.195841e-03\n",
+       "SO4_OH_AFm         3.898957e-02\n",
+       "Goethite           5.492037e-02\n",
+       "Magnetite          1.073063e-01\n",
+       "Gibbsite           1.889517e-01\n",
+       "HCA-Friedels-ss    2.197762e-01\n",
+       "straetlingite      1.138438e+00\n",
+       "Brucite            4.516748e+00\n",
+       "Troilite           5.649225e+01\n",
+       "Iron               1.107053e+02\n",
+       "HAP                1.560914e+02\n",
+       "Titanite           1.795628e+02\n",
+       "Natrolite          1.811465e+02\n",
+       "Belite             3.702744e+02\n",
+       "OH-hydrotalcite    7.183987e+02\n",
+       "C3AH6              1.069130e+03\n",
+       "Portlandite        1.135232e+03\n",
+       "CSHQ               1.940084e+03\n",
+       "aq_gen             3.525616e+03\n",
+       "dtype: float64"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "data_hydr = data_hydr.drop(['Alite', 'Aluminate','Ferrite'], axis =1)\n"
+    "data_hydr.sum().sort_values()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
-   "id": "d547512b-80af-4cba-ae4e-37df2ebd2328",
+   "execution_count": 21,
+   "id": "4e2734bd-9b1a-4431-9f4b-85ae61dab2c8",
    "metadata": {},
    "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Pyrochroite        3.776729e-11\n",
+      "gas_gen            3.799340e-09\n",
+      "C4Ac0_5H12         2.844350e-06\n",
+      "Pyrite             2.195841e-03\n",
+      "SO4_OH_AFm         3.898957e-02\n",
+      "Goethite           5.492037e-02\n",
+      "Magnetite          1.073063e-01\n",
+      "Gibbsite           1.889517e-01\n",
+      "HCA-Friedels-ss    2.197762e-01\n",
+      "straetlingite      1.138438e+00\n",
+      "Brucite            4.516748e+00\n",
+      "Troilite           5.649225e+01\n",
+      "Iron               1.107053e+02\n",
+      "HAP                1.560914e+02\n",
+      "Titanite           1.795628e+02\n",
+      "Natrolite          1.811465e+02\n",
+      "Belite             3.702744e+02\n",
+      "other_material     6.902243e+02\n",
+      "OH-hydrotalcite    7.183987e+02\n",
+      "C3AH6              1.069130e+03\n",
+      "Portlandite        1.135232e+03\n",
+      "CSHQ               1.940084e+03\n",
+      "aq_gen             3.525616e+03\n",
+      "dtype: float64\n"
+     ]
+    },
     {
      "data": {
       "text/html": [
@@ -663,107 +27347,149 @@
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
-       "      <th>Belite</th>\n",
-       "      <th>Portlandite</th>\n",
-       "      <th>C3AH6</th>\n",
-       "      <th>C4AsH12</th>\n",
        "      <th>aq_gen</th>\n",
-       "      <th>ettringite-AlFe</th>\n",
-       "      <th>hemihydrate</th>\n",
-       "      <th>Anhydrite</th>\n",
-       "      <th>arcanite</th>\n",
-       "      <th>thenardite</th>\n",
+       "      <th>gas_gen</th>\n",
+       "      <th>HCA-Friedels-ss</th>\n",
        "      <th>CSHQ</th>\n",
+       "      <th>straetlingite</th>\n",
+       "      <th>SO4_OH_AFm</th>\n",
+       "      <th>Gibbsite</th>\n",
+       "      <th>Belite</th>\n",
        "      <th>C3AH6</th>\n",
-       "      <th>monosulph-AlFe</th>\n",
+       "      <th>C4Ac0_5H12</th>\n",
+       "      <th>...</th>\n",
+       "      <th>Iron</th>\n",
+       "      <th>Magnetite</th>\n",
+       "      <th>Goethite</th>\n",
+       "      <th>Pyrite</th>\n",
+       "      <th>Troilite</th>\n",
+       "      <th>OH-hydrotalcite</th>\n",
+       "      <th>Brucite</th>\n",
+       "      <th>Pyrochroite</th>\n",
+       "      <th>Natrolite</th>\n",
        "      <th>other_material</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.127596</td>\n",
-       "      <td>0.151522</td>\n",
+       "      <td>0.384401</td>\n",
+       "      <td>3.573669e-13</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.114332</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.256401</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>0.077937</td>\n",
+       "      <td>0.119594</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.013187</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.371866</td>\n",
-       "      <td>0.151522</td>\n",
+       "      <td>0.005663</td>\n",
+       "      <td>0.108712</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.092614</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.044039</td>\n",
+       "      <td>0.096957</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.075708</td>\n",
-       "      <td>0.133808</td>\n",
+       "      <td>0.343840</td>\n",
+       "      <td>3.638728e-13</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.420766</td>\n",
+       "      <td>0.193853</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.086410</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.017485</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>0.006633</td>\n",
+       "      <td>0.082092</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.241661</td>\n",
-       "      <td>0.133808</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.128056</td>\n",
+       "      <td>0.048828</td>\n",
+       "      <td>0.118369</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.047929</td>\n",
-       "      <td>0.122995</td>\n",
+       "      <td>0.431903</td>\n",
+       "      <td>4.176996e-13</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.227122</td>\n",
+       "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.500409</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.099516</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.009717</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>0.008582</td>\n",
+       "      <td>0.029083</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.208371</td>\n",
-       "      <td>0.122995</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.120296</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.082595</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>0.039411</td>\n",
-       "      <td>0.204577</td>\n",
-       "      <td>0.204717</td>\n",
+       "      <td>0.388702</td>\n",
+       "      <td>3.098643e-13</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.101462</td>\n",
+       "      <td>0.256602</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.165884</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.011497</td>\n",
+       "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.365695</td>\n",
-       "      <td>0.204717</td>\n",
+       "      <td>0.004398</td>\n",
+       "      <td>0.103551</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.084138</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.038664</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>0.051312</td>\n",
-       "      <td>0.241644</td>\n",
-       "      <td>0.189959</td>\n",
+       "      <td>0.258245</td>\n",
+       "      <td>5.516043e-13</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.052604</td>\n",
+       "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.002013</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.012070</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.012988</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>0.012169</td>\n",
+       "      <td>0.031221</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.467000</td>\n",
-       "      <td>0.189959</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.048072</td>\n",
+       "      <td>0.152717</td>\n",
+       "      <td>0.273331</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>...</th>\n",
@@ -781,163 +27507,275 @@
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1019</th>\n",
-       "      <td>0.030826</td>\n",
-       "      <td>0.186924</td>\n",
-       "      <td>0.252438</td>\n",
+       "      <th>9444</th>\n",
+       "      <td>0.433335</td>\n",
+       "      <td>3.269800e-13</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.307479</td>\n",
+       "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.082210</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.074893</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.009955</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>0.003535</td>\n",
+       "      <td>0.065369</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.373520</td>\n",
-       "      <td>0.252438</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.074081</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.023714</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1020</th>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.190318</td>\n",
-       "      <td>0.175415</td>\n",
+       "      <th>9445</th>\n",
+       "      <td>0.405759</td>\n",
+       "      <td>4.018803e-13</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.049353</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.079130</td>\n",
+       "      <td>0.200094</td>\n",
+       "      <td>0.189970</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.013460</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>0.003370</td>\n",
+       "      <td>0.126970</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.502500</td>\n",
-       "      <td>0.175415</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.052636</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.017438</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1021</th>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.035717</td>\n",
-       "      <td>0.121035</td>\n",
+       "      <th>9446</th>\n",
+       "      <td>0.394793</td>\n",
+       "      <td>2.895759e-13</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.236304</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.544218</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.158278</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.010679</td>\n",
+       "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>0.004598</td>\n",
+       "      <td>0.111133</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.172391</td>\n",
-       "      <td>0.121035</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.126638</td>\n",
+       "      <td>0.008914</td>\n",
+       "      <td>0.051725</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1022</th>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.061889</td>\n",
-       "      <td>0.143808</td>\n",
+       "      <th>9447</th>\n",
+       "      <td>0.470212</td>\n",
+       "      <td>3.523275e-13</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.283643</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.442830</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.061544</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.012897</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>0.004509</td>\n",
+       "      <td>0.035568</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.233778</td>\n",
-       "      <td>0.143808</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.117694</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.037363</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1023</th>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.122432</td>\n",
-       "      <td>0.141483</td>\n",
+       "      <th>9448</th>\n",
+       "      <td>0.302940</td>\n",
+       "      <td>4.393055e-13</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.302438</td>\n",
+       "      <td>0.244998</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>0.077882</td>\n",
+       "      <td>0.165820</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.017022</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>0.003688</td>\n",
+       "      <td>0.099100</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.307694</td>\n",
-       "      <td>0.141483</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.125952</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.020777</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>1023 rows × 14 columns</p>\n",
+       "<p>9449 rows × 23 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "        Belite  Portlandite     C3AH6  C4AsH12    aq_gen  ettringite-AlFe  \\\n",
-       "0     0.000000     0.127596  0.151522      0.0  0.256401              0.0   \n",
-       "1     0.000000     0.075708  0.133808      0.0  0.420766              0.0   \n",
-       "2     0.000000     0.047929  0.122995      0.0  0.500409              0.0   \n",
-       "3     0.039411     0.204577  0.204717      0.0  0.101462              0.0   \n",
-       "4     0.051312     0.241644  0.189959      0.0  0.002013              0.0   \n",
-       "...        ...          ...       ...      ...       ...              ...   \n",
-       "1019  0.030826     0.186924  0.252438      0.0  0.082210              0.0   \n",
-       "1020  0.000000     0.190318  0.175415      0.0  0.079130              0.0   \n",
-       "1021  0.000000     0.035717  0.121035      0.0  0.544218              0.0   \n",
-       "1022  0.000000     0.061889  0.143808      0.0  0.442830              0.0   \n",
-       "1023  0.000000     0.122432  0.141483      0.0  0.302438              0.0   \n",
-       "\n",
-       "      hemihydrate  Anhydrite  arcanite  thenardite      CSHQ     C3AH6  \\\n",
-       "0             0.0        0.0       0.0         0.0  0.371866  0.151522   \n",
-       "1             0.0        0.0       0.0         0.0  0.241661  0.133808   \n",
-       "2             0.0        0.0       0.0         0.0  0.208371  0.122995   \n",
-       "3             0.0        0.0       0.0         0.0  0.365695  0.204717   \n",
-       "4             0.0        0.0       0.0         0.0  0.467000  0.189959   \n",
-       "...           ...        ...       ...         ...       ...       ...   \n",
-       "1019          0.0        0.0       0.0         0.0  0.373520  0.252438   \n",
-       "1020          0.0        0.0       0.0         0.0  0.502500  0.175415   \n",
-       "1021          0.0        0.0       0.0         0.0  0.172391  0.121035   \n",
-       "1022          0.0        0.0       0.0         0.0  0.233778  0.143808   \n",
-       "1023          0.0        0.0       0.0         0.0  0.307694  0.141483   \n",
-       "\n",
-       "      monosulph-AlFe  other_material  \n",
-       "0                0.0        0.092614  \n",
-       "1                0.0        0.128056  \n",
-       "2                0.0        0.120296  \n",
-       "3                0.0        0.084138  \n",
-       "4                0.0        0.048072  \n",
-       "...              ...             ...  \n",
-       "1019             0.0        0.074081  \n",
-       "1020             0.0        0.052636  \n",
-       "1021             0.0        0.126638  \n",
-       "1022             0.0        0.117694  \n",
-       "1023             0.0        0.125952  \n",
-       "\n",
-       "[1023 rows x 14 columns]"
+       "        aq_gen       gas_gen  HCA-Friedels-ss      CSHQ  straetlingite  \\\n",
+       "0     0.384401  3.573669e-13              0.0  0.114332            0.0   \n",
+       "1     0.343840  3.638728e-13              0.0  0.193853            0.0   \n",
+       "2     0.431903  4.176996e-13              0.0  0.227122            0.0   \n",
+       "3     0.388702  3.098643e-13              0.0  0.256602            0.0   \n",
+       "4     0.258245  5.516043e-13              0.0  0.052604            0.0   \n",
+       "...        ...           ...              ...       ...            ...   \n",
+       "9444  0.433335  3.269800e-13              0.0  0.307479            0.0   \n",
+       "9445  0.405759  4.018803e-13              0.0  0.049353            0.0   \n",
+       "9446  0.394793  2.895759e-13              0.0  0.236304            0.0   \n",
+       "9447  0.470212  3.523275e-13              0.0  0.283643            0.0   \n",
+       "9448  0.302940  4.393055e-13              0.0  0.244998            0.0   \n",
+       "\n",
+       "      SO4_OH_AFm  Gibbsite    Belite     C3AH6  C4Ac0_5H12  ...      Iron  \\\n",
+       "0            0.0       0.0  0.077937  0.119594         0.0  ...  0.013187   \n",
+       "1            0.0       0.0  0.000000  0.086410         0.0  ...  0.017485   \n",
+       "2            0.0       0.0  0.000000  0.099516         0.0  ...  0.009717   \n",
+       "3            0.0       0.0  0.000000  0.165884         0.0  ...  0.011497   \n",
+       "4            0.0       0.0  0.000000  0.012070         0.0  ...  0.012988   \n",
+       "...          ...       ...       ...       ...         ...  ...       ...   \n",
+       "9444         0.0       0.0  0.000000  0.074893         0.0  ...  0.009955   \n",
+       "9445         0.0       0.0  0.200094  0.189970         0.0  ...  0.013460   \n",
+       "9446         0.0       0.0  0.000000  0.158278         0.0  ...  0.010679   \n",
+       "9447         0.0       0.0  0.000000  0.061544         0.0  ...  0.012897   \n",
+       "9448         0.0       0.0  0.077882  0.165820         0.0  ...  0.017022   \n",
+       "\n",
+       "      Magnetite  Goethite  Pyrite  Troilite  OH-hydrotalcite  Brucite  \\\n",
+       "0           0.0       0.0     0.0  0.005663         0.108712      0.0   \n",
+       "1           0.0       0.0     0.0  0.006633         0.082092      0.0   \n",
+       "2           0.0       0.0     0.0  0.008582         0.029083      0.0   \n",
+       "3           0.0       0.0     0.0  0.004398         0.103551      0.0   \n",
+       "4           0.0       0.0     0.0  0.012169         0.031221      0.0   \n",
+       "...         ...       ...     ...       ...              ...      ...   \n",
+       "9444        0.0       0.0     0.0  0.003535         0.065369      0.0   \n",
+       "9445        0.0       0.0     0.0  0.003370         0.126970      0.0   \n",
+       "9446        0.0       0.0     0.0  0.004598         0.111133      0.0   \n",
+       "9447        0.0       0.0     0.0  0.004509         0.035568      0.0   \n",
+       "9448        0.0       0.0     0.0  0.003688         0.099100      0.0   \n",
+       "\n",
+       "      Pyrochroite  Natrolite  other_material  \n",
+       "0             0.0   0.044039        0.096957  \n",
+       "1             0.0   0.048828        0.118369  \n",
+       "2             0.0   0.000000        0.082595  \n",
+       "3             0.0   0.000000        0.038664  \n",
+       "4             0.0   0.152717        0.273331  \n",
+       "...           ...        ...             ...  \n",
+       "9444          0.0   0.000000        0.023714  \n",
+       "9445          0.0   0.000000        0.017438  \n",
+       "9446          0.0   0.008914        0.051725  \n",
+       "9447          0.0   0.000000        0.037363  \n",
+       "9448          0.0   0.000000        0.020777  \n",
+       "\n",
+       "[9449 rows x 23 columns]"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data_hydr['other_material']= data_hydr['Pyrochroite']+data_hydr['gas_gen']+data_hydr['HCA-Friedels-ss']+data_hydr['C4Ac0_5H12']+data_hydr['Goethite']+data_hydr['Gibbsite']+data_hydr['Magnetite']+data_hydr['straetlingite']+data_hydr['Brucite']+data_hydr['Troilite']+data_hydr['Iron']+ data_hydr['HAP']+data_hydr['Titanite']+data_hydr['Natrolite']\n",
+    "\n",
+    "\n",
+    "print(data_hydr.sum().sort_values())\n",
+    "data_hydr\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 62,
+   "id": "e35702a3-9cf2-4876-ae4f-afc5740c032f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_hydr = data_hydr.drop(['Pyrochroite','gas_gen','HCA-Friedels-ss','C4Ac0_5H12','Goethite','Gibbsite','Magnetite','straetlingite','Brucite'], axis =1)             #'Alite', 'Aluminate','Ferrite'], axis =1)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 67,
+   "id": "d547512b-80af-4cba-ae4e-37df2ebd2328",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_hydr = data_hydr.drop(['SO4_OH_AFm'], axis = 1)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 70,
+   "id": "75de6742-338a-4aab-be7f-a22264a6104c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_hydr = data_hydr.drop(['Pyrite'], axis = 1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 71,
+   "id": "616f6afc-5e14-418f-ad04-26684f3fa3cd",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Index(['aq_gen', 'CSHQ', 'Belite', 'C3AH6', 'Portlandite', 'HAP', 'Titanite',\n",
+       "       'Iron', 'Troilite', 'OH-hydrotalcite', 'Natrolite', 'other_material'],\n",
+       "      dtype='object')"
+      ]
+     },
+     "execution_count": 71,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "data_hydr\n"
+    "data_hydr.keys()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 72,
    "id": "1d6f2fa1-01bb-45a7-a14f-6caed5d28a50",
    "metadata": {},
    "outputs": [],
    "source": [
-    "elastic_moduli = data_elastic_moduli(data_hydr.transpose())\n",
-    "elastic_moduli.to_csv(data_path +'/elastic_moduli'+name+'.csv', index=False)"
+    "elastic_moduli = data_elastic_moduli(data_hydr.transpose())\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 73,
    "id": "17fafd53-7f54-4c60-9d06-a3f00fc2cfd5",
    "metadata": {},
    "outputs": [
@@ -971,38 +27809,38 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>19.377369</td>\n",
-       "      <td>9.016247</td>\n",
-       "      <td>23.416811</td>\n",
-       "      <td>0.298590</td>\n",
+       "      <td>38.607628</td>\n",
+       "      <td>14.354662</td>\n",
+       "      <td>38.315325</td>\n",
+       "      <td>0.334595</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>16.240573</td>\n",
-       "      <td>7.665632</td>\n",
-       "      <td>19.870561</td>\n",
-       "      <td>0.296081</td>\n",
+       "      <td>21.084140</td>\n",
+       "      <td>9.047453</td>\n",
+       "      <td>23.745822</td>\n",
+       "      <td>0.312293</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>14.200791</td>\n",
-       "      <td>6.897889</td>\n",
-       "      <td>17.809994</td>\n",
-       "      <td>0.290974</td>\n",
+       "      <td>18.887720</td>\n",
+       "      <td>8.169235</td>\n",
+       "      <td>21.419600</td>\n",
+       "      <td>0.310992</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>32.545434</td>\n",
-       "      <td>13.429563</td>\n",
-       "      <td>35.417169</td>\n",
-       "      <td>0.318627</td>\n",
+       "      <td>14.811197</td>\n",
+       "      <td>7.526439</td>\n",
+       "      <td>19.308689</td>\n",
+       "      <td>0.282724</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>35.672788</td>\n",
-       "      <td>14.760751</td>\n",
-       "      <td>38.914837</td>\n",
-       "      <td>0.318186</td>\n",
+       "      <td>27.671749</td>\n",
+       "      <td>11.077108</td>\n",
+       "      <td>29.319137</td>\n",
+       "      <td>0.323411</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>...</th>\n",
@@ -1012,74 +27850,75 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1018</th>\n",
-       "      <td>30.219664</td>\n",
-       "      <td>12.776794</td>\n",
-       "      <td>33.595662</td>\n",
-       "      <td>0.314714</td>\n",
+       "      <th>9444</th>\n",
+       "      <td>17.201760</td>\n",
+       "      <td>7.804758</td>\n",
+       "      <td>20.338316</td>\n",
+       "      <td>0.302943</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1019</th>\n",
-       "      <td>22.319203</td>\n",
-       "      <td>10.351179</td>\n",
-       "      <td>26.895656</td>\n",
-       "      <td>0.299159</td>\n",
+       "      <th>9445</th>\n",
+       "      <td>55.823553</td>\n",
+       "      <td>20.297697</td>\n",
+       "      <td>54.310569</td>\n",
+       "      <td>0.337850</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1020</th>\n",
-       "      <td>13.113207</td>\n",
-       "      <td>6.479670</td>\n",
-       "      <td>16.689986</td>\n",
-       "      <td>0.287873</td>\n",
+       "      <th>9446</th>\n",
+       "      <td>14.840696</td>\n",
+       "      <td>7.505540</td>\n",
+       "      <td>19.268357</td>\n",
+       "      <td>0.283609</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1021</th>\n",
-       "      <td>15.366147</td>\n",
-       "      <td>7.392422</td>\n",
-       "      <td>19.112373</td>\n",
-       "      <td>0.292700</td>\n",
+       "      <th>9447</th>\n",
+       "      <td>17.891214</td>\n",
+       "      <td>7.778571</td>\n",
+       "      <td>20.381898</td>\n",
+       "      <td>0.310131</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1022</th>\n",
-       "      <td>18.990572</td>\n",
-       "      <td>8.747124</td>\n",
-       "      <td>22.748666</td>\n",
-       "      <td>0.300351</td>\n",
+       "      <th>9448</th>\n",
+       "      <td>38.191579</td>\n",
+       "      <td>14.561540</td>\n",
+       "      <td>38.758697</td>\n",
+       "      <td>0.330858</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>1023 rows × 4 columns</p>\n",
+       "<p>9449 rows × 4 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
        "              K          G          E         P\n",
-       "0     19.377369   9.016247  23.416811  0.298590\n",
-       "1     16.240573   7.665632  19.870561  0.296081\n",
-       "2     14.200791   6.897889  17.809994  0.290974\n",
-       "3     32.545434  13.429563  35.417169  0.318627\n",
-       "4     35.672788  14.760751  38.914837  0.318186\n",
+       "0     38.607628  14.354662  38.315325  0.334595\n",
+       "1     21.084140   9.047453  23.745822  0.312293\n",
+       "2     18.887720   8.169235  21.419600  0.310992\n",
+       "3     14.811197   7.526439  19.308689  0.282724\n",
+       "4     27.671749  11.077108  29.319137  0.323411\n",
        "...         ...        ...        ...       ...\n",
-       "1018  30.219664  12.776794  33.595662  0.314714\n",
-       "1019  22.319203  10.351179  26.895656  0.299159\n",
-       "1020  13.113207   6.479670  16.689986  0.287873\n",
-       "1021  15.366147   7.392422  19.112373  0.292700\n",
-       "1022  18.990572   8.747124  22.748666  0.300351\n",
+       "9444  17.201760   7.804758  20.338316  0.302943\n",
+       "9445  55.823553  20.297697  54.310569  0.337850\n",
+       "9446  14.840696   7.505540  19.268357  0.283609\n",
+       "9447  17.891214   7.778571  20.381898  0.310131\n",
+       "9448  38.191579  14.561540  38.758697  0.330858\n",
        "\n",
-       "[1023 rows x 4 columns]"
+       "[9449 rows x 4 columns]"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 73,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
+    "\n",
     "elastic_moduli"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 74,
    "id": "92d422ad-ff80-44a1-8348-c162a69437d2",
    "metadata": {},
    "outputs": [
@@ -1113,59 +27952,59 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>count</th>\n",
-       "      <td>1023.000000</td>\n",
-       "      <td>1023.000000</td>\n",
-       "      <td>1023.000000</td>\n",
-       "      <td>1023.000000</td>\n",
+       "      <td>9449.000000</td>\n",
+       "      <td>9449.000000</td>\n",
+       "      <td>9449.000000</td>\n",
+       "      <td>9449.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>mean</th>\n",
-       "      <td>19.081747</td>\n",
-       "      <td>8.786899</td>\n",
-       "      <td>22.843257</td>\n",
-       "      <td>0.297617</td>\n",
+       "      <td>27.132232</td>\n",
+       "      <td>11.068888</td>\n",
+       "      <td>29.195569</td>\n",
+       "      <td>0.313151</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>std</th>\n",
-       "      <td>6.409234</td>\n",
-       "      <td>2.314168</td>\n",
-       "      <td>6.221632</td>\n",
-       "      <td>0.009025</td>\n",
+       "      <td>13.563934</td>\n",
+       "      <td>4.340118</td>\n",
+       "      <td>11.828317</td>\n",
+       "      <td>0.017474</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>min</th>\n",
-       "      <td>12.116378</td>\n",
-       "      <td>6.206784</td>\n",
-       "      <td>15.935414</td>\n",
-       "      <td>0.278262</td>\n",
+       "      <td>11.884203</td>\n",
+       "      <td>6.674943</td>\n",
+       "      <td>16.886043</td>\n",
+       "      <td>0.255144</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>25%</th>\n",
-       "      <td>14.830591</td>\n",
-       "      <td>7.189251</td>\n",
-       "      <td>18.556893</td>\n",
-       "      <td>0.291326</td>\n",
+       "      <td>17.581642</td>\n",
+       "      <td>7.960454</td>\n",
+       "      <td>20.737141</td>\n",
+       "      <td>0.301259</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>50%</th>\n",
-       "      <td>17.403670</td>\n",
-       "      <td>8.166314</td>\n",
-       "      <td>21.189857</td>\n",
-       "      <td>0.296849</td>\n",
+       "      <td>20.288754</td>\n",
+       "      <td>8.874965</td>\n",
+       "      <td>23.202878</td>\n",
+       "      <td>0.311394</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>75%</th>\n",
-       "      <td>20.919198</td>\n",
-       "      <td>9.563465</td>\n",
-       "      <td>24.870539</td>\n",
-       "      <td>0.301522</td>\n",
+       "      <td>35.867184</td>\n",
+       "      <td>13.585223</td>\n",
+       "      <td>36.166521</td>\n",
+       "      <td>0.331344</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>max</th>\n",
-       "      <td>52.568989</td>\n",
-       "      <td>20.770286</td>\n",
-       "      <td>55.059434</td>\n",
-       "      <td>0.326805</td>\n",
+       "      <td>67.331126</td>\n",
+       "      <td>25.264630</td>\n",
+       "      <td>67.367764</td>\n",
+       "      <td>0.341493</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -1173,17 +28012,17 @@
       ],
       "text/plain": [
        "                 K            G            E            P\n",
-       "count  1023.000000  1023.000000  1023.000000  1023.000000\n",
-       "mean     19.081747     8.786899    22.843257     0.297617\n",
-       "std       6.409234     2.314168     6.221632     0.009025\n",
-       "min      12.116378     6.206784    15.935414     0.278262\n",
-       "25%      14.830591     7.189251    18.556893     0.291326\n",
-       "50%      17.403670     8.166314    21.189857     0.296849\n",
-       "75%      20.919198     9.563465    24.870539     0.301522\n",
-       "max      52.568989    20.770286    55.059434     0.326805"
+       "count  9449.000000  9449.000000  9449.000000  9449.000000\n",
+       "mean     27.132232    11.068888    29.195569     0.313151\n",
+       "std      13.563934     4.340118    11.828317     0.017474\n",
+       "min      11.884203     6.674943    16.886043     0.255144\n",
+       "25%      17.581642     7.960454    20.737141     0.301259\n",
+       "50%      20.288754     8.874965    23.202878     0.311394\n",
+       "75%      35.867184    13.585223    36.166521     0.331344\n",
+       "max      67.331126    25.264630    67.367764     0.341493"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 74,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1192,6 +28031,16 @@
     "elastic_moduli.describe()"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 75,
+   "id": "632b90dd-89ff-4200-bed6-89b053eae168",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "elastic_moduli.to_csv(data_path +'/elastic_moduli'+name+'.csv', index=False)"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "ae48dd7d-bb44-417b-bc4c-ae3e6393347d",
@@ -1202,13 +28051,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 76,
    "id": "c8fbebb7-8fa8-444e-a546-61c134c6e272",
    "metadata": {},
    "outputs": [],
    "source": [
     "# Import data\n",
-    "name = '_10_all_output_lower_bounds'\n",
+    "name = '_LHS_1000_'\n",
     "file_hydr = data_path +'/final_hydration'+name+'.csv'\n",
     "data_hydr = pd.read_csv(file_hydr, index_col=[0])\n",
     "\n",
@@ -1220,7 +28069,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 77,
    "id": "bb9f1f5a-3570-461c-b105-8fa22aefd5dd",
    "metadata": {},
    "outputs": [
@@ -1249,10 +28098,10 @@
        "      <th>C2S</th>\n",
        "      <th>C3A</th>\n",
        "      <th>C4AF</th>\n",
+       "      <th>wc</th>\n",
        "      <th>RH</th>\n",
        "      <th>T</th>\n",
        "      <th>fineness</th>\n",
-       "      <th>wc</th>\n",
        "      <th>CSH2</th>\n",
        "      <th>limestone</th>\n",
        "      <th>silica_fume</th>\n",
@@ -1264,88 +28113,88 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>60.086032</td>\n",
-       "      <td>26.059775</td>\n",
-       "      <td>12.064128</td>\n",
-       "      <td>7.427653</td>\n",
+       "      <td>57.647781</td>\n",
+       "      <td>26.151845</td>\n",
+       "      <td>6.628009</td>\n",
+       "      <td>5.572365</td>\n",
+       "      <td>0.661962</td>\n",
        "      <td>1</td>\n",
        "      <td>25</td>\n",
        "      <td>385</td>\n",
-       "      <td>0.419176</td>\n",
-       "      <td>2.191757</td>\n",
-       "      <td>8.938177</td>\n",
-       "      <td>8.938177</td>\n",
-       "      <td>8.938177</td>\n",
-       "      <td>8.938177</td>\n",
-       "      <td>8.938177</td>\n",
+       "      <td>4</td>\n",
+       "      <td>6.880488</td>\n",
+       "      <td>8.962389</td>\n",
+       "      <td>12.187488</td>\n",
+       "      <td>26.210516</td>\n",
+       "      <td>5.164236</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>65.472019</td>\n",
-       "      <td>10.712615</td>\n",
-       "      <td>4.720774</td>\n",
-       "      <td>11.745447</td>\n",
+       "      <td>64.773646</td>\n",
+       "      <td>17.605959</td>\n",
+       "      <td>7.152201</td>\n",
+       "      <td>6.468193</td>\n",
+       "      <td>0.465823</td>\n",
        "      <td>1</td>\n",
        "      <td>25</td>\n",
        "      <td>385</td>\n",
-       "      <td>0.564079</td>\n",
-       "      <td>3.640789</td>\n",
-       "      <td>19.805914</td>\n",
-       "      <td>19.805914</td>\n",
-       "      <td>19.805914</td>\n",
-       "      <td>19.805914</td>\n",
-       "      <td>19.805914</td>\n",
+       "      <td>4</td>\n",
+       "      <td>14.975455</td>\n",
+       "      <td>1.114454</td>\n",
+       "      <td>15.817766</td>\n",
+       "      <td>29.826033</td>\n",
+       "      <td>29.727892</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>72.874170</td>\n",
-       "      <td>22.497137</td>\n",
-       "      <td>9.256601</td>\n",
-       "      <td>9.924277</td>\n",
+       "      <td>60.857278</td>\n",
+       "      <td>21.823251</td>\n",
+       "      <td>11.823600</td>\n",
+       "      <td>1.495871</td>\n",
+       "      <td>0.400889</td>\n",
        "      <td>1</td>\n",
        "      <td>25</td>\n",
        "      <td>385</td>\n",
-       "      <td>0.613135</td>\n",
-       "      <td>4.131354</td>\n",
-       "      <td>23.485158</td>\n",
-       "      <td>23.485158</td>\n",
-       "      <td>23.485158</td>\n",
-       "      <td>23.485158</td>\n",
-       "      <td>23.485158</td>\n",
+       "      <td>4</td>\n",
+       "      <td>11.196107</td>\n",
+       "      <td>8.455333</td>\n",
+       "      <td>9.763467</td>\n",
+       "      <td>30.339600</td>\n",
+       "      <td>25.001093</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>51.567959</td>\n",
-       "      <td>6.774976</td>\n",
-       "      <td>7.538067</td>\n",
-       "      <td>13.246861</td>\n",
+       "      <td>55.248035</td>\n",
+       "      <td>27.030514</td>\n",
+       "      <td>5.217009</td>\n",
+       "      <td>8.504442</td>\n",
+       "      <td>0.462212</td>\n",
        "      <td>1</td>\n",
        "      <td>25</td>\n",
        "      <td>385</td>\n",
-       "      <td>0.370600</td>\n",
-       "      <td>1.705997</td>\n",
-       "      <td>5.294980</td>\n",
-       "      <td>5.294980</td>\n",
-       "      <td>5.294980</td>\n",
-       "      <td>5.294980</td>\n",
-       "      <td>5.294980</td>\n",
+       "      <td>4</td>\n",
+       "      <td>5.756211</td>\n",
+       "      <td>9.118701</td>\n",
+       "      <td>0.473350</td>\n",
+       "      <td>26.277058</td>\n",
+       "      <td>19.156557</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>45.311349</td>\n",
-       "      <td>16.358730</td>\n",
-       "      <td>5.923142</td>\n",
-       "      <td>14.067801</td>\n",
+       "      <td>57.710815</td>\n",
+       "      <td>16.303625</td>\n",
+       "      <td>9.094807</td>\n",
+       "      <td>12.890753</td>\n",
+       "      <td>0.632467</td>\n",
        "      <td>1</td>\n",
        "      <td>25</td>\n",
        "      <td>385</td>\n",
-       "      <td>0.327425</td>\n",
-       "      <td>1.274251</td>\n",
-       "      <td>2.056886</td>\n",
-       "      <td>2.056886</td>\n",
-       "      <td>2.056886</td>\n",
-       "      <td>2.056886</td>\n",
-       "      <td>2.056886</td>\n",
+       "      <td>4</td>\n",
+       "      <td>3.523905</td>\n",
+       "      <td>5.406125</td>\n",
+       "      <td>19.694909</td>\n",
+       "      <td>2.776113</td>\n",
+       "      <td>11.195109</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>...</th>\n",
@@ -1365,126 +28214,126 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1018</th>\n",
-       "      <td>45.290575</td>\n",
-       "      <td>12.509947</td>\n",
-       "      <td>13.762617</td>\n",
-       "      <td>13.097229</td>\n",
+       "      <th>939</th>\n",
+       "      <td>71.058060</td>\n",
+       "      <td>16.755838</td>\n",
+       "      <td>4.603968</td>\n",
+       "      <td>3.582134</td>\n",
+       "      <td>0.460128</td>\n",
        "      <td>1</td>\n",
        "      <td>25</td>\n",
        "      <td>385</td>\n",
-       "      <td>0.359593</td>\n",
-       "      <td>1.595935</td>\n",
-       "      <td>4.469509</td>\n",
-       "      <td>4.469509</td>\n",
-       "      <td>4.469509</td>\n",
-       "      <td>4.469509</td>\n",
-       "      <td>4.469509</td>\n",
+       "      <td>4</td>\n",
+       "      <td>0.230468</td>\n",
+       "      <td>4.292554</td>\n",
+       "      <td>17.390299</td>\n",
+       "      <td>26.094378</td>\n",
+       "      <td>12.168256</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1019</th>\n",
-       "      <td>51.620618</td>\n",
-       "      <td>26.121987</td>\n",
-       "      <td>9.713631</td>\n",
-       "      <td>14.213091</td>\n",
+       "      <th>940</th>\n",
+       "      <td>54.143969</td>\n",
+       "      <td>23.010890</td>\n",
+       "      <td>11.745269</td>\n",
+       "      <td>7.099872</td>\n",
+       "      <td>0.631194</td>\n",
        "      <td>1</td>\n",
        "      <td>25</td>\n",
        "      <td>385</td>\n",
-       "      <td>0.341416</td>\n",
-       "      <td>1.414159</td>\n",
-       "      <td>3.106191</td>\n",
-       "      <td>3.106191</td>\n",
-       "      <td>3.106191</td>\n",
-       "      <td>3.106191</td>\n",
-       "      <td>3.106191</td>\n",
+       "      <td>4</td>\n",
+       "      <td>14.839799</td>\n",
+       "      <td>3.966266</td>\n",
+       "      <td>20.978287</td>\n",
+       "      <td>6.818712</td>\n",
+       "      <td>20.631338</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1020</th>\n",
-       "      <td>72.826459</td>\n",
-       "      <td>10.648835</td>\n",
-       "      <td>7.057614</td>\n",
-       "      <td>10.895051</td>\n",
+       "      <th>941</th>\n",
+       "      <td>64.676746</td>\n",
+       "      <td>26.630476</td>\n",
+       "      <td>1.413039</td>\n",
+       "      <td>3.279739</td>\n",
+       "      <td>0.457343</td>\n",
        "      <td>1</td>\n",
        "      <td>25</td>\n",
        "      <td>385</td>\n",
-       "      <td>0.699649</td>\n",
-       "      <td>4.996491</td>\n",
-       "      <td>29.973680</td>\n",
-       "      <td>29.973680</td>\n",
-       "      <td>29.973680</td>\n",
-       "      <td>29.973680</td>\n",
-       "      <td>29.973680</td>\n",
+       "      <td>4</td>\n",
+       "      <td>11.577786</td>\n",
+       "      <td>4.752905</td>\n",
+       "      <td>31.085584</td>\n",
+       "      <td>21.591315</td>\n",
+       "      <td>13.750595</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1021</th>\n",
-       "      <td>65.487553</td>\n",
-       "      <td>22.434382</td>\n",
-       "      <td>12.540708</td>\n",
-       "      <td>12.716476</td>\n",
+       "      <th>942</th>\n",
+       "      <td>61.016788</td>\n",
+       "      <td>23.433337</td>\n",
+       "      <td>9.582049</td>\n",
+       "      <td>1.967826</td>\n",
+       "      <td>0.664557</td>\n",
        "      <td>1</td>\n",
        "      <td>25</td>\n",
        "      <td>385</td>\n",
-       "      <td>0.547926</td>\n",
-       "      <td>3.479260</td>\n",
-       "      <td>18.594448</td>\n",
-       "      <td>18.594448</td>\n",
-       "      <td>18.594448</td>\n",
-       "      <td>18.594448</td>\n",
-       "      <td>18.594448</td>\n",
+       "      <td>4</td>\n",
+       "      <td>12.180821</td>\n",
+       "      <td>2.341680</td>\n",
+       "      <td>2.246501</td>\n",
+       "      <td>14.653117</td>\n",
+       "      <td>31.593280</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1022</th>\n",
-       "      <td>60.065283</td>\n",
-       "      <td>6.836230</td>\n",
-       "      <td>4.259833</td>\n",
-       "      <td>8.393644</td>\n",
+       "      <th>943</th>\n",
+       "      <td>70.732394</td>\n",
+       "      <td>19.756046</td>\n",
+       "      <td>3.441513</td>\n",
+       "      <td>2.070047</td>\n",
+       "      <td>0.597458</td>\n",
        "      <td>1</td>\n",
        "      <td>25</td>\n",
        "      <td>385</td>\n",
-       "      <td>0.493623</td>\n",
-       "      <td>2.936226</td>\n",
-       "      <td>14.521698</td>\n",
-       "      <td>14.521698</td>\n",
-       "      <td>14.521698</td>\n",
-       "      <td>14.521698</td>\n",
-       "      <td>14.521698</td>\n",
+       "      <td>4</td>\n",
+       "      <td>19.031065</td>\n",
+       "      <td>5.146907</td>\n",
+       "      <td>19.839213</td>\n",
+       "      <td>21.021931</td>\n",
+       "      <td>23.923168</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>1023 rows × 14 columns</p>\n",
+       "<p>944 rows × 14 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "            C3S        C2S        C3A       C4AF  RH   T  fineness        wc  \\\n",
-       "0     60.086032  26.059775  12.064128   7.427653   1  25       385  0.419176   \n",
-       "1     65.472019  10.712615   4.720774  11.745447   1  25       385  0.564079   \n",
-       "2     72.874170  22.497137   9.256601   9.924277   1  25       385  0.613135   \n",
-       "3     51.567959   6.774976   7.538067  13.246861   1  25       385  0.370600   \n",
-       "4     45.311349  16.358730   5.923142  14.067801   1  25       385  0.327425   \n",
-       "...         ...        ...        ...        ...  ..  ..       ...       ...   \n",
-       "1018  45.290575  12.509947  13.762617  13.097229   1  25       385  0.359593   \n",
-       "1019  51.620618  26.121987   9.713631  14.213091   1  25       385  0.341416   \n",
-       "1020  72.826459  10.648835   7.057614  10.895051   1  25       385  0.699649   \n",
-       "1021  65.487553  22.434382  12.540708  12.716476   1  25       385  0.547926   \n",
-       "1022  60.065283   6.836230   4.259833   8.393644   1  25       385  0.493623   \n",
-       "\n",
-       "          CSH2  limestone  silica_fume      GGBFS    fly_ash  calcined_clay  \n",
-       "0     2.191757   8.938177     8.938177   8.938177   8.938177       8.938177  \n",
-       "1     3.640789  19.805914    19.805914  19.805914  19.805914      19.805914  \n",
-       "2     4.131354  23.485158    23.485158  23.485158  23.485158      23.485158  \n",
-       "3     1.705997   5.294980     5.294980   5.294980   5.294980       5.294980  \n",
-       "4     1.274251   2.056886     2.056886   2.056886   2.056886       2.056886  \n",
-       "...        ...        ...          ...        ...        ...            ...  \n",
-       "1018  1.595935   4.469509     4.469509   4.469509   4.469509       4.469509  \n",
-       "1019  1.414159   3.106191     3.106191   3.106191   3.106191       3.106191  \n",
-       "1020  4.996491  29.973680    29.973680  29.973680  29.973680      29.973680  \n",
-       "1021  3.479260  18.594448    18.594448  18.594448  18.594448      18.594448  \n",
-       "1022  2.936226  14.521698    14.521698  14.521698  14.521698      14.521698  \n",
-       "\n",
-       "[1023 rows x 14 columns]"
+       "           C3S        C2S        C3A       C4AF        wc  RH   T  fineness  \\\n",
+       "0    57.647781  26.151845   6.628009   5.572365  0.661962   1  25       385   \n",
+       "1    64.773646  17.605959   7.152201   6.468193  0.465823   1  25       385   \n",
+       "2    60.857278  21.823251  11.823600   1.495871  0.400889   1  25       385   \n",
+       "3    55.248035  27.030514   5.217009   8.504442  0.462212   1  25       385   \n",
+       "4    57.710815  16.303625   9.094807  12.890753  0.632467   1  25       385   \n",
+       "..         ...        ...        ...        ...       ...  ..  ..       ...   \n",
+       "939  71.058060  16.755838   4.603968   3.582134  0.460128   1  25       385   \n",
+       "940  54.143969  23.010890  11.745269   7.099872  0.631194   1  25       385   \n",
+       "941  64.676746  26.630476   1.413039   3.279739  0.457343   1  25       385   \n",
+       "942  61.016788  23.433337   9.582049   1.967826  0.664557   1  25       385   \n",
+       "943  70.732394  19.756046   3.441513   2.070047  0.597458   1  25       385   \n",
+       "\n",
+       "     CSH2  limestone  silica_fume      GGBFS    fly_ash  calcined_clay  \n",
+       "0       4   6.880488     8.962389  12.187488  26.210516       5.164236  \n",
+       "1       4  14.975455     1.114454  15.817766  29.826033      29.727892  \n",
+       "2       4  11.196107     8.455333   9.763467  30.339600      25.001093  \n",
+       "3       4   5.756211     9.118701   0.473350  26.277058      19.156557  \n",
+       "4       4   3.523905     5.406125  19.694909   2.776113      11.195109  \n",
+       "..    ...        ...          ...        ...        ...            ...  \n",
+       "939     4   0.230468     4.292554  17.390299  26.094378      12.168256  \n",
+       "940     4  14.839799     3.966266  20.978287   6.818712      20.631338  \n",
+       "941     4  11.577786     4.752905  31.085584  21.591315      13.750595  \n",
+       "942     4  12.180821     2.341680   2.246501  14.653117      31.593280  \n",
+       "943     4  19.031065     5.146907  19.839213  21.021931      23.923168  \n",
+       "\n",
+       "[944 rows x 14 columns]"
       ]
      },
-     "execution_count": 12,
+     "execution_count": 77,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1495,7 +28344,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 78,
    "id": "e855e7fb-7a00-4697-8d47-ffcb06271587",
    "metadata": {},
    "outputs": [
@@ -1526,71 +28375,71 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>0.536668</td>\n",
+       "      <td>0.465503</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>0.392727</td>\n",
+       "      <td>0.424698</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>0.399928</td>\n",
+       "      <td>0.429048</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>0.566016</td>\n",
+       "      <td>0.475532</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>0.657399</td>\n",
+       "      <td>0.537840</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>...</th>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1018</th>\n",
-       "      <td>0.593840</td>\n",
+       "      <th>939</th>\n",
+       "      <td>0.479091</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1019</th>\n",
-       "      <td>0.645114</td>\n",
+       "      <th>940</th>\n",
+       "      <td>0.475056</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1020</th>\n",
-       "      <td>0.340942</td>\n",
+       "      <th>941</th>\n",
+       "      <td>0.432026</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1021</th>\n",
-       "      <td>0.436010</td>\n",
+       "      <th>942</th>\n",
+       "      <td>0.490689</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1022</th>\n",
-       "      <td>0.418091</td>\n",
+       "      <th>943</th>\n",
+       "      <td>0.424725</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>1023 rows × 1 columns</p>\n",
+       "<p>944 rows × 1 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "      CO2_per_kg\n",
-       "0       0.536668\n",
-       "1       0.392727\n",
-       "2       0.399928\n",
-       "3       0.566016\n",
-       "4       0.657399\n",
-       "...          ...\n",
-       "1018    0.593840\n",
-       "1019    0.645114\n",
-       "1020    0.340942\n",
-       "1021    0.436010\n",
-       "1022    0.418091\n",
-       "\n",
-       "[1023 rows x 1 columns]"
+       "     CO2_per_kg\n",
+       "0      0.465503\n",
+       "1      0.424698\n",
+       "2      0.429048\n",
+       "3      0.475532\n",
+       "4      0.537840\n",
+       "..          ...\n",
+       "939    0.479091\n",
+       "940    0.475056\n",
+       "941    0.432026\n",
+       "942    0.490689\n",
+       "943    0.424725\n",
+       "\n",
+       "[944 rows x 1 columns]"
       ]
      },
-     "execution_count": 13,
+     "execution_count": 78,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1602,7 +28451,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 79,
    "id": "34bb2b01-242a-4e13-abfc-dab50bd32bfc",
    "metadata": {},
    "outputs": [],
diff --git a/Create_data_plenty.ipynb b/Create_data_plenty.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..af8c78c19ef1e6233ec681bd2893bdff0b8f1004
--- /dev/null
+++ b/Create_data_plenty.ipynb
@@ -0,0 +1,2363 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "a5c69a8c-6678-42ce-b546-67d64daa2ed2",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[2024-05-31 12:00:57.148] [gems3k] [info] Home directory is /afs/psi.ch/user/b/boiger_r\n",
+      "chemicalfun logger not connected\n",
+      "thermofun logger not connected\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Import relevant packages\n",
+    "import xgems\n",
+    "from util.create_data import add_new_material\n",
+    "from util.create_data import create_sobol_sequence, create_lhs_samples\n",
+    "from util.create_data import complete_hydration_from_data\n",
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "from prop.elastic_moduli import data_elastic_moduli\n",
+    "from prop.energy import energy_emission_data, CO2_emission\n",
+    "import numpy as np\n",
+    "from scipy.stats import qmc\n",
+    "import pandas as pd\n",
+    "\n",
+    "from util.final_hydration import final_hydration\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "3523dd8a-7cf9-4f19-b970-aa3e0cb4f618",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def normalize_clinker_samples(samples, target_sum, bounds):\n",
+    "    \"\"\"Normalize the clinker component samples so they sum to the target_sum, with bounds checking.\"\"\"\n",
+    "    sum_samples = np.sum(samples, axis=1)\n",
+    "    normalized_samples = samples / sum_samples[:, None] * target_sum\n",
+    "    \n",
+    "    # Ensure samples are within their bounds after normalization\n",
+    "    for i in range(samples.shape[1]):  # Iterate over each clinker component\n",
+    "        min_val, max_val = bounds[i]\n",
+    "        # Apply clipping to ensure values remain within bounds\n",
+    "        normalized_samples[:, i] = np.clip(normalized_samples[:, i], min_val, max_val)\n",
+    "        \n",
+    "    return normalized_samples\n",
+    "def sample_with_lhs(bounds_dict, n_samples, clinker_total):\n",
+    "    \"\"\"Sample using Latin Hypercube Sampling, ensuring clinker components sum to a specified total.\"\"\"\n",
+    "    sampler = qmc.LatinHypercube(d=len(bounds_dict), seed=42)\n",
+    "    raw_samples = sampler.random(n_samples)\n",
+    "\n",
+    "    # Normalize samples to their bounds\n",
+    "    min_vals = np.array([bounds_dict[k][0] for k in bounds_dict])\n",
+    "    max_vals = np.array([bounds_dict[k][1] for k in bounds_dict])\n",
+    "    scaled_samples = raw_samples * (max_vals - min_vals) + min_vals\n",
+    "    \n",
+    "    # Separate the samples into clinker components, 'wc', and additional materials\n",
+    "    clinker_samples = scaled_samples[:, :4]  # First four are clinker components\n",
+    "    wc_samples = scaled_samples[:, 4]       # 'wc' is the fifth variable\n",
+    "    additional_samples = scaled_samples[:, 5:]  # Remaining are additional materials\n",
+    "\n",
+    "    # Normalize clinker samples to sum to 96, with bounds checking\n",
+    "    clinker_bounds = [bounds_dict[k] for k in ['C3S', 'C2S', 'C3A', 'C4AF']]\n",
+    "    clinker_samples = normalize_clinker_samples(clinker_samples, clinker_total, clinker_bounds)\n",
+    "    \n",
+    "    # Normalize additional materials so their total does not exceed 100\n",
+    "    additional_samples = normalize_additional_samples(additional_samples)\n",
+    "\n",
+    "    # Combine all the samples\n",
+    "    all_samples = np.hstack([clinker_samples, wc_samples[:, None], additional_samples])\n",
+    "\n",
+    "    # Define column names\n",
+    "    columns = list(bounds_dict.keys())\n",
+    "\n",
+    "    # Create DataFrame\n",
+    "    df = pd.DataFrame(all_samples, columns=columns)\n",
+    "    df['RH'] = 1\n",
+    "    df['T'] = 25\n",
+    "    df['fineness'] = 385\n",
+    "    df['CSH2'] = 4\n",
+    "\n",
+    "    return df\n",
+    "def normalize_additional_samples(samples):\n",
+    "    \"\"\"Normalize additional materials so their total does not exceed 100.\"\"\"\n",
+    "    sum_samples = np.sum(samples, axis=1)\n",
+    "    mask = sum_samples > 100\n",
+    "    samples[mask] = samples[mask] / sum_samples[mask, None] * 100\n",
+    "    return samples"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "b1c9fc52-fe32-4476-a70c-028d5d9357fb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def create_hydr_data_LHS(data_path, bounds, nr_samples):\n",
+    "    \n",
+    "    input = sample_with_lhs(bounds, nr_samples, 96)\n",
+    "    new_order = [\n",
+    "    'C3S', 'C2S', 'C3A', 'C4AF', 'wc', \n",
+    "    'RH', 'T', 'fineness', 'CSH2', \n",
+    "    'limestone', 'silica_fume', 'GGBFS',\n",
+    "    'fly_ash', 'calcined_clay']\n",
+    "\n",
+    "    # Reorder the DataFrame columns\n",
+    "    input = input[new_order]\n",
+    "    # Hydration using GEMS\n",
+    "    output_materials = [\"Alite\", \"Belite\", \"Aluminate\", \"Ferrite\", \"Portlandite\", \"C3AH6\", \"C4AsH12\", \"aq_gen\",  \"ettringite-AlFe\", \"hemihydrate\", \"Anhydrite\",\"arcanite\",\"thenardite\",\"CSHQ\", \"C3AH6\",\"monosulph-AlFe\" ]\n",
+    "\n",
+    "    print(input)\n",
+    "    to_drop, train_output,pd_vol_frac, gems_phase_amounts, gems_B = complete_hydration_from_data(input, output_materials, False)\n",
+    "    pd_df = pd.DataFrame(pd_vol_frac).T\n",
+    "    print(pd_df.keys())\n",
+    "    train_output2 = pd_df\n",
+    "    train_output2 = train_output2.reset_index(drop= True)\n",
+    "    name = str(nr_samples)\n",
+    "    \n",
+    "    input.iloc[to_drop].to_csv(data_path+'/failed_recipe_LHS_'+name+'.csv')\n",
+    "\n",
+    "    #save successful recipes and hydration product\n",
+    "    train_input = input.drop(to_drop, axis =0)\n",
+    "    train_input = train_input.reset_index(drop=True)\n",
+    "    train_input.to_csv(data_path+'/recipe_data_LHS_'+name+'.csv')\n",
+    "    train_output2.to_csv(data_path+'/final_hydration_LHS_'+name+'.csv')\n",
+    "\n",
+    "    return gems_phase_amounts, gems_B\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "0cc1c50f-f013-43ee-bdc3-713dc0194195",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def create_recipe(data : pd.DataFrame):\n",
+    "    \"\"\" Create recipes that the hydration model understand from the data \"\"\"\n",
+    "    recipe = {}\n",
+    "    clinker_phases = {}\n",
+    "    sum_clinker_phases = data.loc[['C3S', 'C2S', 'C3A', 'C4AF', 'CSH2']].sum()\n",
+    "    \n",
+    "    clinker_phases[\"C3S\"]=data.loc['C3S'] *100 / sum_clinker_phases #alite\n",
+    "    # divide by the square of the sum to make the sum of all constituants = 100 as in cemgems\n",
+    "    clinker_phases[\"C2S\"]=data.loc['C2S'] *100 / sum_clinker_phases #belite\n",
+    "    clinker_phases[\"C3A\"]=data.loc['C3A'] *100 / sum_clinker_phases #tricalcium aluminate\n",
+    "    clinker_phases[\"C4AF\"]=data.loc['C4AF'] *100 / sum_clinker_phases #calcium aluminoferrite\n",
+    "    recipe['clink_phases'] = clinker_phases\n",
+    "    recipe['CSH2'] = data.loc['CSH2']*100 / sum_clinker_phases\n",
+    "    assert (99 <clinker_phases[\"C3S\"] + clinker_phases[\"C2S\"] + clinker_phases[\"C3A\"] + clinker_phases[\"C4AF\"] + recipe[\"CSH2\"] < 101)\n",
+    "    sum_SCM = data.loc[~data.index.isin(['C3S','C2S','C3A','C4AF', 'CSH2','wc', 'T', 'RH', 'fineness'])].sum()\n",
+    "    for add in data.index:\n",
+    "        if add not in ['C3S','C2S','C3A','C4AF', 'CSH2']:\n",
+    "            recipe[add] = data.loc[add]\n",
+    "    recipe['wc'] = data.loc['wc']*(sum_clinker_phases+sum_SCM)\n",
+    "    recipe['wc_ratio'] = data.loc['wc']\n",
+    "    return recipe\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "1fd19734-7d00-4070-a2ac-b096caedb1a3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def recipe(data : pd.DataFrame): \n",
+    "    vol_recipe = {}\n",
+    "    index_to_drop = []\n",
+    "    for i in range(data.shape[0]):\n",
+    "        recipe = create_recipe(data.iloc[i])\n",
+    "        #print(recipe)\n",
+    "        vol_recipe[str(i)]=recipe\n",
+    "    return vol_recipe"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1e5e112e-d166-4290-a4e2-b7f9f9991ed7",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "46592c9a-0e50-4ae5-b5c8-38669451ebdb",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "25fb1cc4-239b-4aea-ac42-13b608412150",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_path = '/mnt/disk1/projects/Cement/02-Software_and_Models/Models/InputData/'\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d3359845-6042-49d8-8a20-10e257051eee",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2aafdab2-8333-4c91-8548-01b9defceee8",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "cd1938ea-3d0e-477f-9ee6-6c7eea7b2fdb",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "         C3S        C2S        C3A       C4AF        wc  RH   T  fineness  \\\n",
+      "0  65.925236  17.968142  11.499482   0.607140  0.576233   1  25       385   \n",
+      "1  57.027458  25.867465   3.073584  10.031493  0.402263   1  25       385   \n",
+      "2  49.559225  23.088488  10.541745  12.810542  0.588865   1  25       385   \n",
+      "3  70.945401  14.584973   8.006145   2.463480  0.521218   1  25       385   \n",
+      "4  53.311064  23.903358   9.480069   9.305508  0.426710   1  25       385   \n",
+      "5  55.416557  25.761976   4.750905  10.070562  0.471793   1  25       385   \n",
+      "6  78.420325  11.804818   0.643631   5.131226  0.354611   1  25       385   \n",
+      "7  68.156602  18.698958   1.676769   7.467671  0.697668   1  25       385   \n",
+      "8  51.790526  25.018717  14.000000   4.766354  0.659092   1  25       385   \n",
+      "9  67.909036  16.636605   4.251749   7.202610  0.327940   1  25       385   \n",
+      "\n",
+      "   CSH2  limestone  silica_fume      GGBFS    fly_ash  calcined_clay  \n",
+      "0     4   6.048755     5.238860   4.248775  31.051602      12.423649  \n",
+      "1     4  17.545523     2.445415  13.776640  14.603291      25.789175  \n",
+      "2     4   9.610723     1.533279  31.346687  23.959987      18.609329  \n",
+      "3     4  15.621057     9.870078  22.835033  13.205817      32.655651  \n",
+      "4     4   0.390471     6.612522  33.990852   4.611266       6.510866  \n",
+      "5     4   2.438542     3.541084  19.009406   3.010711      17.099145  \n",
+      "6     4  12.892841     7.440793   9.436175  10.392138      29.971489  \n",
+      "7     4  11.437232     4.706406  15.183292  19.050387       7.756356  \n",
+      "8     4  19.819904     8.277641   1.883430  34.435549      22.746343  \n",
+      "9     4   4.739435     0.638187  27.693225  27.586979       0.133358  \n",
+      "Index(['aq_gen', 'gas_gen', 'HCA-Friedels-ss', 'C3(AF)S0_84H', 'CSHQ',\n",
+      "       'ettringite-AlFe', 'monosulph-AlFe', 'straetlingite', 'SO4_OH_AFm',\n",
+      "       'SO4_CO3_AFt',\n",
+      "       ...\n",
+      "       'Natrolite', 'ZeoliteX', 'ZeoliteY', 'Na-oxide', 'Sulphur', 'Quartz',\n",
+      "       'Silica-amorph', 'Strontianite', 'Celestite', 'Rutile'],\n",
+      "      dtype='object', length=110)\n"
+     ]
+    }
+   ],
+   "source": [
+    "bounds = {\n",
+    "    'C3S': (45, 80),\n",
+    "    'C2S': (10, 32),\n",
+    "    'C3A': (0, 14),\n",
+    "    'C4AF': (0, 15),\n",
+    "    'wc': (0.3, 0.7),\n",
+    "    'limestone': (0, 20),\n",
+    "    'silica_fume': (0, 10),\n",
+    "    'GGBFS': (0, 35),\n",
+    "    'fly_ash': (0, 35),\n",
+    "    'calcined_clay': (0, 35)\n",
+    "}\n",
+    "\n",
+    "nr_samples = 10\n",
+    "#sample = [1000, 2500, 5000, 7500, 10000, 12500, 15000, 17500, 20000]\n",
+    "#sample = [1250,1500,1750,2000,2250,2750,3000,3250,3500,3750]\n",
+    "sample = [4000,4250,4500,4750]\n",
+    "sample = [10]\n",
+    "for nr_samples in sample:\n",
+    "\n",
+    "    gems_phase_amounts, gems_B = create_hydr_data_LHS(data_path, bounds, nr_samples)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "10821cb4-2cac-4f88-9828-71c97b35c424",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'aq_gen': 0.025562375147908958,\n",
+       " 'gas_gen': 1.0086059718695703e-15,\n",
+       " 'HCA-Friedels-ss': 0.0,\n",
+       " 'C3(AF)S0_84H': 0.06434803083848159,\n",
+       " 'CSHQ': 0.9216976483446849,\n",
+       " 'ettringite-AlFe': 0.0,\n",
+       " 'monosulph-AlFe': 9.989302387171996e-16,\n",
+       " 'straetlingite': 0.027833951081919536,\n",
+       " 'SO4_OH_AFm': 1.0016533451768413e-15,\n",
+       " 'SO4_CO3_AFt': 0.0,\n",
+       " 'MSH': 0.0,\n",
+       " 'Al(OH)3mic': 0.0,\n",
+       " 'Gibbsite': 0.0,\n",
+       " 'Kaolinite': 0.0,\n",
+       " 'Witherite': 0.0,\n",
+       " 'Barite': 0.0,\n",
+       " 'Graphite': 0.0,\n",
+       " 'Mayenite': 0.0,\n",
+       " 'Belite': 1e-15,\n",
+       " 'Aluminate': 0.0,\n",
+       " 'Alite': 0.0,\n",
+       " 'Ferrite': 0.0,\n",
+       " 'CA': 0.0,\n",
+       " 'CA2': 0.0,\n",
+       " 'C4ANO3H10': 0.0,\n",
+       " 'C4ANO2H10': 0.0,\n",
+       " 'C2AH75': 0.0,\n",
+       " 'C3AH6': 1e-15,\n",
+       " 'C4AH11': 0.0,\n",
+       " 'C4AH13': 0.0,\n",
+       " 'C4AH19': 0.0,\n",
+       " 'CAH10': 0.0,\n",
+       " 'C4AsH105': 0.0,\n",
+       " 'C4AsH12': 0.03414071815255694,\n",
+       " 'C4AsH14': 0.0,\n",
+       " 'C4AsH16': 0.0,\n",
+       " 'C4AsH9': 0.0,\n",
+       " 'Chabazite': 0.0,\n",
+       " 'ZeoliteP': 0.0,\n",
+       " 'C2ASH55': 0.0,\n",
+       " 'C4AcH9': 0.0,\n",
+       " 'C4Ac0_5H105': 0.0,\n",
+       " 'C4Ac0_5H12': 0.0,\n",
+       " 'C4Ac0_5H9': 0.0,\n",
+       " 'C4AcH11': 0.002855635041236691,\n",
+       " 'Friedels': 0.0,\n",
+       " 'Kuzels': 0.0,\n",
+       " 'C6AsH13': 0.0,\n",
+       " 'C6AsH9': 0.0,\n",
+       " 'Aragonite': 0.0,\n",
+       " 'Calcite': 0.04943278246261521,\n",
+       " 'Fluorite': 0.0,\n",
+       " 'C3FH6': 0.0,\n",
+       " 'C4FH13': 0.0,\n",
+       " 'C3FS0_84H4_32': 0.0,\n",
+       " 'C3FS1_34H3_32': 0.0,\n",
+       " 'C4Fc05H10': 0.0,\n",
+       " 'C4FcH12': 0.0,\n",
+       " 'CaK3HP2O8': 0.0,\n",
+       " 'Dolomite-dis': 0.0,\n",
+       " 'CaO(lime)': 0.0,\n",
+       " 'Portlandite': 0.0,\n",
+       " 'Brushite': 0.0,\n",
+       " 'HAP': 1.8532834775496871e-06,\n",
+       " 'OCP': 0.0,\n",
+       " 'Anhydrite': 0.0,\n",
+       " 'Gypsum': 0.0,\n",
+       " 'hemihydrate': 0.0,\n",
+       " 'Titanite': 0.0018474841289047392,\n",
+       " 'thaumasite': 0.0,\n",
+       " 'Iron': 0.0,\n",
+       " 'Siderite': 0.0,\n",
+       " 'Hematite': 0.0,\n",
+       " 'Magnetite': 0.0,\n",
+       " 'Ferrihydrite-am': 0.0,\n",
+       " 'Goethite': 0.0,\n",
+       " 'Pyrite': 0.0,\n",
+       " 'Troilite': 0.0,\n",
+       " 'Melanterite': 0.0,\n",
+       " 'arcanite': 0.0,\n",
+       " 'syngenite': 0.0,\n",
+       " 'K-oxide': 0.0,\n",
+       " 'OH-hydrotalcite': 0.019080586450678567,\n",
+       " 'Magnesite': 0.0,\n",
+       " 'Mg2KHP2O8_15H2O': 0.0,\n",
+       " 'K-struvite': 0.0,\n",
+       " 'HMKP': 0.0,\n",
+       " 'Brucite': 0.0,\n",
+       " 'Bobierrite': 0.0,\n",
+       " 'Farring': 0.0,\n",
+       " 'M3P2_H22': 0.0,\n",
+       " 'M3P2_H4': 0.0,\n",
+       " 'Newberyite': 0.0,\n",
+       " 'phosphorroes': 0.0,\n",
+       " 'Rhodochrosite': 0.0,\n",
+       " 'Hausmannite': 0.0,\n",
+       " 'Pyrolusite': 1e-15,\n",
+       " 'Manganite': 8.083172896699111e-07,\n",
+       " 'Pyrochroite': 0.0,\n",
+       " 'thenardite': 0.0,\n",
+       " 'Natrolite': 0.0,\n",
+       " 'ZeoliteX': 0.0,\n",
+       " 'ZeoliteY': 0.0,\n",
+       " 'Na-oxide': 0.0,\n",
+       " 'Sulphur': 0.0,\n",
+       " 'Quartz': 0.0,\n",
+       " 'Silica-amorph': 0.0,\n",
+       " 'Strontianite': 0.0,\n",
+       " 'Celestite': 0.0,\n",
+       " 'Rutile': 0.0}"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "gems_phase_amounts "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "6245e2a6-2403-456a-b0ec-db4187b5985c",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([2.32176181e-01, 1.00000000e-12, 1.00000000e-12, 1.00000000e-12,\n",
+       "       5.22884285e-02, 1.50466947e+00, 1.00000000e-12, 1.00000000e-12,\n",
+       "       6.43480308e-02, 6.01515228e+00, 1.67148871e-02, 1.00000000e-12,\n",
+       "       7.63223458e-02, 8.08317291e-07, 1.00000000e-12, 1.11811006e-02,\n",
+       "       1.00000000e-12, 6.92115425e+00, 5.55985045e-06, 3.41477888e-02,\n",
+       "       8.18368042e-01, 1.00000000e-12, 1.84748413e-03, 1.00000000e-12])"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "gems_B"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "ebe9eaf9-3c22-498e-b8ca-55114669b736",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "         C3S        C2S        C3A       C4AF        wc  RH   T  fineness  \\\n",
+      "0  65.925236  17.968142  11.499482   0.607140  0.576233   1  25       385   \n",
+      "1  57.027458  25.867465   3.073584  10.031493  0.402263   1  25       385   \n",
+      "2  49.559225  23.088488  10.541745  12.810542  0.588865   1  25       385   \n",
+      "3  70.945401  14.584973   8.006145   2.463480  0.521218   1  25       385   \n",
+      "4  53.311064  23.903358   9.480069   9.305508  0.426710   1  25       385   \n",
+      "5  55.416557  25.761976   4.750905  10.070562  0.471793   1  25       385   \n",
+      "6  78.420325  11.804818   0.643631   5.131226  0.354611   1  25       385   \n",
+      "7  68.156602  18.698958   1.676769   7.467671  0.697668   1  25       385   \n",
+      "8  51.790526  25.018717  14.000000   4.766354  0.659092   1  25       385   \n",
+      "9  67.909036  16.636605   4.251749   7.202610  0.327940   1  25       385   \n",
+      "\n",
+      "   CSH2  limestone  silica_fume      GGBFS    fly_ash  calcined_clay  \n",
+      "0     4   6.048755     5.238860   4.248775  31.051602      12.423649  \n",
+      "1     4  17.545523     2.445415  13.776640  14.603291      25.789175  \n",
+      "2     4   9.610723     1.533279  31.346687  23.959987      18.609329  \n",
+      "3     4  15.621057     9.870078  22.835033  13.205817      32.655651  \n",
+      "4     4   0.390471     6.612522  33.990852   4.611266       6.510866  \n",
+      "5     4   2.438542     3.541084  19.009406   3.010711      17.099145  \n",
+      "6     4  12.892841     7.440793   9.436175  10.392138      29.971489  \n",
+      "7     4  11.437232     4.706406  15.183292  19.050387       7.756356  \n",
+      "8     4  19.819904     8.277641   1.883430  34.435549      22.746343  \n",
+      "9     4   4.739435     0.638187  27.693225  27.586979       0.133358  \n",
+      "*******\n",
+      "{'0': {'clink_phases': {'C3S': 65.92523631266836, 'C2S': 17.9681417740599, 'C3A': 11.499482011389443, 'C4AF': 0.6071399018823125}, 'CSH2': 4.000000000000001, 'wc': 91.62774058779229, 'RH': 1.0, 'T': 25.0, 'fineness': 385.0, 'limestone': 6.048755296726489, 'silica_fume': 5.238860298009646, 'GGBFS': 4.2487749315306615, 'fly_ash': 31.051602285635585, 'calcined_clay': 12.423649217365512, 'wc_ratio': 0.576232906084494}, '1': {'clink_phases': {'C3S': 57.027458167844486, 'C2S': 25.86746491026246, 'C3A': 3.073584207249944, 'C4AF': 10.031492714643107}, 'CSH2': 4.0, 'wc': 70.05821657199148, 'RH': 1.0, 'T': 25.0, 'fineness': 385.0, 'limestone': 17.545522556430445, 'silica_fume': 2.445415212984165, 'GGBFS': 13.776639603635386, 'fly_ash': 14.603290898025962, 'calcined_clay': 25.789174603072773, 'wc_ratio': 0.4022634320469067}, '2': {'clink_phases': {'C3S': 49.559224660313404, 'C2S': 23.088488012512045, 'C3A': 10.54174522550016, 'C4AF': 12.810542101674384}, 'CSH2': 3.9999999999999996, 'wc': 108.97529626351948, 'RH': 1.0, 'T': 25.0, 'fineness': 385.0, 'limestone': 9.610722584296065, 'silica_fume': 1.533278996272966, 'GGBFS': 31.346686819744704, 'fly_ash': 23.959986777763586, 'calcined_clay': 18.609328663651407, 'wc_ratio': 0.5888646601170495}, '3': {'clink_phases': {'C3S': 70.94540149915102, 'C2S': 14.58497307857916, 'C3A': 8.006145152542194, 'C4AF': 2.463480269727626}, 'CSH2': 4.0, 'wc': 101.2140465549962, 'RH': 1.0, 'T': 25.0, 'fineness': 385.0, 'limestone': 15.621057281831428, 'silica_fume': 9.87007849466453, 'GGBFS': 22.835032758209238, 'fly_ash': 13.205817278321906, 'calcined_clay': 32.655651018611216, 'wc_ratio': 0.5212177675489676}, '4': {'clink_phases': {'C3S': 53.31106382482821, 'C2S': 23.903358390171626, 'C3A': 9.480069374325067, 'C4AF': 9.305508410675095}, 'CSH2': 4.0, 'wc': 64.90934873092141, 'RH': 1.0, 'T': 25.0, 'fineness': 385.0, 'limestone': 0.3904712850063963, 'silica_fume': 6.612521620969826, 'GGBFS': 33.990851636244145, 'fly_ash': 4.611265736087586, 'calcined_clay': 6.510866307367415, 'wc_ratio': 0.4267096079441919}, '5': {'clink_phases': {'C3S': 55.41655674975523, 'C2S': 25.761976123337085, 'C3A': 4.75090516904875, 'C4AF': 10.070561957858938}, 'CSH2': 4.0, 'wc': 68.45669514292743, 'RH': 1.0, 'T': 25.0, 'fineness': 385.0, 'limestone': 2.438541937956064, 'silica_fume': 3.5410842244616605, 'GGBFS': 19.009405814164868, 'fly_ash': 3.010710506553199, 'calcined_clay': 17.099144742624095, 'wc_ratio': 0.4717933848549466}, '6': {'clink_phases': {'C3S': 78.420325216416, 'C2S': 11.80481753229397, 'C3A': 0.6436310246005481, 'C4AF': 5.131226226689484}, 'CSH2': 4.000000000000001, 'wc': 60.3312331243284, 'RH': 1.0, 'T': 25.0, 'fineness': 385.0, 'limestone': 12.892841198684009, 'silica_fume': 7.440792839254586, 'GGBFS': 9.436174656780858, 'fly_ash': 10.392137579012212, 'calcined_clay': 29.97148913768673, 'wc_ratio': 0.3546112671999764}, '7': {'clink_phases': {'C3S': 68.15660152245843, 'C2S': 18.69895849211646, 'C3A': 1.6767688011370125, 'C4AF': 7.4676711842880925}, 'CSH2': 3.9999999999999996, 'wc': 110.32478700328899, 'RH': 1.0, 'T': 25.0, 'fineness': 385.0, 'limestone': 11.437232215956003, 'silica_fume': 4.706406242233316, 'GGBFS': 15.183292198455865, 'fly_ash': 19.050387466805525, 'calcined_clay': 7.756356268127551, 'wc_ratio': 0.6976678903324374}, '8': {'clink_phases': {'C3S': 52.011263121891886, 'C2S': 25.12534974898294, 'C3A': 14.059669648484405, 'C4AF': 4.786669009645217}, 'CSH2': 4.017048470995544, 'wc': 123.07773737762643, 'RH': 1.0, 'T': 25.0, 'fineness': 385.0, 'limestone': 19.81990427844872, 'silica_fume': 8.27764064940355, 'GGBFS': 1.883429694120144, 'fly_ash': 34.43554877338239, 'calcined_clay': 22.746343287138227, 'wc_ratio': 0.6590915170746455}, '9': {'clink_phases': {'C3S': 67.90903578540704, 'C2S': 16.636605238018902, 'C3A': 4.251748947491318, 'C4AF': 7.202610029082734}, 'CSH2': 4.0, 'wc': 52.729783456503775, 'RH': 1.0, 'T': 25.0, 'fineness': 385.0, 'limestone': 4.739434813762223, 'silica_fume': 0.6381873894466096, 'GGBFS': 27.693225282393644, 'fly_ash': 27.5869793425782, 'calcined_clay': 0.1333581740766991, 'wc_ratio': 0.3279395164340849}}\n",
+      "#########\n",
+      "         C3S        C2S        C3A       C4AF      CSH2          wc   RH  \\\n",
+      "0  65.925236  17.968142  11.499482   0.607140  4.000000   91.627741  1.0   \n",
+      "1  57.027458  25.867465   3.073584  10.031493  4.000000   70.058217  1.0   \n",
+      "2  49.559225  23.088488  10.541745  12.810542  4.000000  108.975296  1.0   \n",
+      "3  70.945401  14.584973   8.006145   2.463480  4.000000  101.214047  1.0   \n",
+      "4  53.311064  23.903358   9.480069   9.305508  4.000000   64.909349  1.0   \n",
+      "5  55.416557  25.761976   4.750905  10.070562  4.000000   68.456695  1.0   \n",
+      "6  78.420325  11.804818   0.643631   5.131226  4.000000   60.331233  1.0   \n",
+      "7  68.156602  18.698958   1.676769   7.467671  4.000000  110.324787  1.0   \n",
+      "8  52.011263  25.125350  14.059670   4.786669  4.017048  123.077737  1.0   \n",
+      "9  67.909036  16.636605   4.251749   7.202610  4.000000   52.729783  1.0   \n",
+      "\n",
+      "      T  fineness  limestone  silica_fume      GGBFS    fly_ash  \\\n",
+      "0  25.0     385.0   6.048755     5.238860   4.248775  31.051602   \n",
+      "1  25.0     385.0  17.545523     2.445415  13.776640  14.603291   \n",
+      "2  25.0     385.0   9.610723     1.533279  31.346687  23.959987   \n",
+      "3  25.0     385.0  15.621057     9.870078  22.835033  13.205817   \n",
+      "4  25.0     385.0   0.390471     6.612522  33.990852   4.611266   \n",
+      "5  25.0     385.0   2.438542     3.541084  19.009406   3.010711   \n",
+      "6  25.0     385.0  12.892841     7.440793   9.436175  10.392138   \n",
+      "7  25.0     385.0  11.437232     4.706406  15.183292  19.050387   \n",
+      "8  25.0     385.0  19.819904     8.277641   1.883430  34.435549   \n",
+      "9  25.0     385.0   4.739435     0.638187  27.693225  27.586979   \n",
+      "\n",
+      "   calcined_clay  wc_ratio  \n",
+      "0      12.423649  0.576233  \n",
+      "1      25.789175  0.402263  \n",
+      "2      18.609329  0.588865  \n",
+      "3      32.655651  0.521218  \n",
+      "4       6.510866  0.426710  \n",
+      "5      17.099145  0.471793  \n",
+      "6      29.971489  0.354611  \n",
+      "7       7.756356  0.697668  \n",
+      "8      22.746343  0.659092  \n",
+      "9       0.133358  0.327940  \n"
+     ]
+    }
+   ],
+   "source": [
+    "#nr_samples = 5000\n",
+    "\n",
+    "#sample = [1000, 2500, 5000, 7500, 10000, 12500, 15000, 17500, 20000]\n",
+    "sample = [1250,1500,1750,2000,2250,2750,3000,3250,3500,3750,4000,4250,4500,4750]\n",
+    "\n",
+    "sample = [10]\n",
+    "\n",
+    "for nr_samples in sample:\n",
+    "    \n",
+    "    file_recipe = data_path + '/recipe_data_LHS_'+str(nr_samples)+'.csv'\n",
+    "    \n",
+    "    data_recipe = pd.read_csv(file_recipe, index_col = [0])\n",
+    "    data_recipe = data_recipe.reset_index(drop = True)\n",
+    "    print(data_recipe)\n",
+    "    print('*******')\n",
+    "    vol_recipe = recipe(data_recipe)\n",
+    "\n",
+    "    print(vol_recipe)\n",
+    "    print('#########')\n",
+    "    # Flatten the dictionary\n",
+    "    flattened_data = {}\n",
+    "    for key, value in vol_recipe.items():\n",
+    "        # Create a new entry for each key\n",
+    "        flattened_data[key] = {}\n",
+    "        # Unpack clink_phases into the main dictionary\n",
+    "        for phase_key, phase_value in value['clink_phases'].items():\n",
+    "            flattened_data[key][phase_key] = phase_value\n",
+    "        # Add other keys\n",
+    "        for other_key, other_value in value.items():\n",
+    "            if other_key != 'clink_phases':\n",
+    "                flattened_data[key][other_key] = other_value\n",
+    "    \n",
+    "    # Convert the flattened dictionary to a DataFrame\n",
+    "    df_recipe = pd.DataFrame.from_dict(flattened_data, orient='index')\n",
+    "    \n",
+    "    df_recipe.to_csv(data_path+'/recipe_data_LHS_'+str(nr_samples)+'_new.csv')\n",
+    "    print(df_recipe)\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "435d8225-090b-4f07-aa19-ce80ed3300cb",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>C3S</th>\n",
+       "      <th>C2S</th>\n",
+       "      <th>C3A</th>\n",
+       "      <th>C4AF</th>\n",
+       "      <th>CSH2</th>\n",
+       "      <th>wc</th>\n",
+       "      <th>RH</th>\n",
+       "      <th>T</th>\n",
+       "      <th>fineness</th>\n",
+       "      <th>limestone</th>\n",
+       "      <th>silica_fume</th>\n",
+       "      <th>GGBFS</th>\n",
+       "      <th>fly_ash</th>\n",
+       "      <th>calcined_clay</th>\n",
+       "      <th>wc_ratio</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>65.925236</td>\n",
+       "      <td>17.968142</td>\n",
+       "      <td>11.499482</td>\n",
+       "      <td>0.607140</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>91.627741</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>385.0</td>\n",
+       "      <td>6.048755</td>\n",
+       "      <td>5.238860</td>\n",
+       "      <td>4.248775</td>\n",
+       "      <td>31.051602</td>\n",
+       "      <td>12.423649</td>\n",
+       "      <td>0.576233</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>57.027458</td>\n",
+       "      <td>25.867465</td>\n",
+       "      <td>3.073584</td>\n",
+       "      <td>10.031493</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>70.058217</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>385.0</td>\n",
+       "      <td>17.545523</td>\n",
+       "      <td>2.445415</td>\n",
+       "      <td>13.776640</td>\n",
+       "      <td>14.603291</td>\n",
+       "      <td>25.789175</td>\n",
+       "      <td>0.402263</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>49.559225</td>\n",
+       "      <td>23.088488</td>\n",
+       "      <td>10.541745</td>\n",
+       "      <td>12.810542</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>108.975296</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>385.0</td>\n",
+       "      <td>9.610723</td>\n",
+       "      <td>1.533279</td>\n",
+       "      <td>31.346687</td>\n",
+       "      <td>23.959987</td>\n",
+       "      <td>18.609329</td>\n",
+       "      <td>0.588865</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>70.945401</td>\n",
+       "      <td>14.584973</td>\n",
+       "      <td>8.006145</td>\n",
+       "      <td>2.463480</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>101.214047</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>385.0</td>\n",
+       "      <td>15.621057</td>\n",
+       "      <td>9.870078</td>\n",
+       "      <td>22.835033</td>\n",
+       "      <td>13.205817</td>\n",
+       "      <td>32.655651</td>\n",
+       "      <td>0.521218</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>53.311064</td>\n",
+       "      <td>23.903358</td>\n",
+       "      <td>9.480069</td>\n",
+       "      <td>9.305508</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>64.909349</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>385.0</td>\n",
+       "      <td>0.390471</td>\n",
+       "      <td>6.612522</td>\n",
+       "      <td>33.990852</td>\n",
+       "      <td>4.611266</td>\n",
+       "      <td>6.510866</td>\n",
+       "      <td>0.426710</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>55.416557</td>\n",
+       "      <td>25.761976</td>\n",
+       "      <td>4.750905</td>\n",
+       "      <td>10.070562</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>68.456695</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>385.0</td>\n",
+       "      <td>2.438542</td>\n",
+       "      <td>3.541084</td>\n",
+       "      <td>19.009406</td>\n",
+       "      <td>3.010711</td>\n",
+       "      <td>17.099145</td>\n",
+       "      <td>0.471793</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>78.420325</td>\n",
+       "      <td>11.804818</td>\n",
+       "      <td>0.643631</td>\n",
+       "      <td>5.131226</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>60.331233</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>385.0</td>\n",
+       "      <td>12.892841</td>\n",
+       "      <td>7.440793</td>\n",
+       "      <td>9.436175</td>\n",
+       "      <td>10.392138</td>\n",
+       "      <td>29.971489</td>\n",
+       "      <td>0.354611</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>68.156602</td>\n",
+       "      <td>18.698958</td>\n",
+       "      <td>1.676769</td>\n",
+       "      <td>7.467671</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>110.324787</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>385.0</td>\n",
+       "      <td>11.437232</td>\n",
+       "      <td>4.706406</td>\n",
+       "      <td>15.183292</td>\n",
+       "      <td>19.050387</td>\n",
+       "      <td>7.756356</td>\n",
+       "      <td>0.697668</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>52.011263</td>\n",
+       "      <td>25.125350</td>\n",
+       "      <td>14.059670</td>\n",
+       "      <td>4.786669</td>\n",
+       "      <td>4.017048</td>\n",
+       "      <td>123.077737</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>385.0</td>\n",
+       "      <td>19.819904</td>\n",
+       "      <td>8.277641</td>\n",
+       "      <td>1.883430</td>\n",
+       "      <td>34.435549</td>\n",
+       "      <td>22.746343</td>\n",
+       "      <td>0.659092</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>67.909036</td>\n",
+       "      <td>16.636605</td>\n",
+       "      <td>4.251749</td>\n",
+       "      <td>7.202610</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>52.729783</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>385.0</td>\n",
+       "      <td>4.739435</td>\n",
+       "      <td>0.638187</td>\n",
+       "      <td>27.693225</td>\n",
+       "      <td>27.586979</td>\n",
+       "      <td>0.133358</td>\n",
+       "      <td>0.327940</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "         C3S        C2S        C3A       C4AF      CSH2          wc   RH  \\\n",
+       "0  65.925236  17.968142  11.499482   0.607140  4.000000   91.627741  1.0   \n",
+       "1  57.027458  25.867465   3.073584  10.031493  4.000000   70.058217  1.0   \n",
+       "2  49.559225  23.088488  10.541745  12.810542  4.000000  108.975296  1.0   \n",
+       "3  70.945401  14.584973   8.006145   2.463480  4.000000  101.214047  1.0   \n",
+       "4  53.311064  23.903358   9.480069   9.305508  4.000000   64.909349  1.0   \n",
+       "5  55.416557  25.761976   4.750905  10.070562  4.000000   68.456695  1.0   \n",
+       "6  78.420325  11.804818   0.643631   5.131226  4.000000   60.331233  1.0   \n",
+       "7  68.156602  18.698958   1.676769   7.467671  4.000000  110.324787  1.0   \n",
+       "8  52.011263  25.125350  14.059670   4.786669  4.017048  123.077737  1.0   \n",
+       "9  67.909036  16.636605   4.251749   7.202610  4.000000   52.729783  1.0   \n",
+       "\n",
+       "      T  fineness  limestone  silica_fume      GGBFS    fly_ash  \\\n",
+       "0  25.0     385.0   6.048755     5.238860   4.248775  31.051602   \n",
+       "1  25.0     385.0  17.545523     2.445415  13.776640  14.603291   \n",
+       "2  25.0     385.0   9.610723     1.533279  31.346687  23.959987   \n",
+       "3  25.0     385.0  15.621057     9.870078  22.835033  13.205817   \n",
+       "4  25.0     385.0   0.390471     6.612522  33.990852   4.611266   \n",
+       "5  25.0     385.0   2.438542     3.541084  19.009406   3.010711   \n",
+       "6  25.0     385.0  12.892841     7.440793   9.436175  10.392138   \n",
+       "7  25.0     385.0  11.437232     4.706406  15.183292  19.050387   \n",
+       "8  25.0     385.0  19.819904     8.277641   1.883430  34.435549   \n",
+       "9  25.0     385.0   4.739435     0.638187  27.693225  27.586979   \n",
+       "\n",
+       "   calcined_clay  wc_ratio  \n",
+       "0      12.423649  0.576233  \n",
+       "1      25.789175  0.402263  \n",
+       "2      18.609329  0.588865  \n",
+       "3      32.655651  0.521218  \n",
+       "4       6.510866  0.426710  \n",
+       "5      17.099145  0.471793  \n",
+       "6      29.971489  0.354611  \n",
+       "7       7.756356  0.697668  \n",
+       "8      22.746343  0.659092  \n",
+       "9       0.133358  0.327940  "
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_recipe"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a4a66bbc-6da3-4be3-af2f-c48820573613",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "08f547ee-bfd3-4849-a1cf-4a4d460c8ddf",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>aq_gen</th>\n",
+       "      <th>gas_gen</th>\n",
+       "      <th>HCA-Friedels-ss</th>\n",
+       "      <th>C3(AF)S0_84H</th>\n",
+       "      <th>CSHQ</th>\n",
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+       "      <th>SO4_CO3_AFt</th>\n",
+       "      <th>...</th>\n",
+       "      <th>Natrolite</th>\n",
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+       "      <th>Quartz</th>\n",
+       "      <th>Silica-amorph</th>\n",
+       "      <th>Strontianite</th>\n",
+       "      <th>Celestite</th>\n",
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+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0.111159</td>\n",
+       "      <td>2.211961e-13</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>8.092186e-02</td>\n",
+       "      <td>0.416934</td>\n",
+       "      <td>3.055632e-15</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.256666</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.059754</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.462470e-15</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0.284722</td>\n",
+       "      <td>1.643737e-13</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>7.973443e-02</td>\n",
+       "      <td>0.313806</td>\n",
+       "      <td>2.268517e-15</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.214427</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.054006</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.085747e-15</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0.220145</td>\n",
+       "      <td>1.671365e-13</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>3.033095e-02</td>\n",
+       "      <td>0.373588</td>\n",
+       "      <td>2.307057e-15</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.267809</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.049209</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.104136e-15</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0.090904</td>\n",
+       "      <td>2.496774e-13</td>\n",
+       "      <td>1.206364e-08</td>\n",
+       "      <td>6.539423e-02</td>\n",
+       "      <td>0.562897</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>2.039804e-16</td>\n",
+       "      <td>0.095765</td>\n",
+       "      <td>3.231414e-15</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>0.140413</td>\n",
+       "      <td>2.448986e-13</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>6.592973e-02</td>\n",
+       "      <td>0.487424</td>\n",
+       "      <td>3.381965e-15</td>\n",
+       "      <td>2.525427e-18</td>\n",
+       "      <td>0.149668</td>\n",
+       "      <td>4.420423e-21</td>\n",
+       "      <td>0.068774</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>0.027873</td>\n",
+       "      <td>2.415536e-13</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>5.256497e-02</td>\n",
+       "      <td>0.511260</td>\n",
+       "      <td>3.355829e-15</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.286130</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.061388</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.606164e-15</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>0.382639</td>\n",
+       "      <td>1.714403e-13</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>5.531876e-02</td>\n",
+       "      <td>0.379604</td>\n",
+       "      <td>2.366206e-15</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.053502</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.050686</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>0.346723</td>\n",
+       "      <td>1.465161e-13</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>2.018410e-08</td>\n",
+       "      <td>0.283234</td>\n",
+       "      <td>2.023167e-15</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.260359</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.029647</td>\n",
+       "      <td>...</td>\n",
+       "      <td>9.679952e-16</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>0.006640</td>\n",
+       "      <td>2.658725e-13</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>9.956543e-02</td>\n",
+       "      <td>0.644187</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>1.646976e-15</td>\n",
+       "      <td>0.063885</td>\n",
+       "      <td>3.302305e-15</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>10 rows × 110 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     aq_gen       gas_gen  HCA-Friedels-ss  C3(AF)S0_84H      CSHQ  \\\n",
+       "0  0.269995  1.937653e-13     0.000000e+00  4.463574e-02  0.406686   \n",
+       "1  0.111159  2.211961e-13     0.000000e+00  8.092186e-02  0.416934   \n",
+       "2  0.284722  1.643737e-13     0.000000e+00  7.973443e-02  0.313806   \n",
+       "3  0.220145  1.671365e-13     0.000000e+00  3.033095e-02  0.373588   \n",
+       "4  0.090904  2.496774e-13     1.206364e-08  6.539423e-02  0.562897   \n",
+       "5  0.140413  2.448986e-13     0.000000e+00  6.592973e-02  0.487424   \n",
+       "6  0.027873  2.415536e-13     0.000000e+00  5.256497e-02  0.511260   \n",
+       "7  0.382639  1.714403e-13     0.000000e+00  5.531876e-02  0.379604   \n",
+       "8  0.346723  1.465161e-13     0.000000e+00  2.018410e-08  0.283234   \n",
+       "9  0.006640  2.658725e-13     0.000000e+00  9.956543e-02  0.644187   \n",
+       "\n",
+       "   ettringite-AlFe  monosulph-AlFe  straetlingite    SO4_OH_AFm  SO4_CO3_AFt  \\\n",
+       "0     2.675090e-15    0.000000e+00       0.197166  0.000000e+00     0.048568   \n",
+       "1     3.055632e-15    0.000000e+00       0.256666  0.000000e+00     0.059754   \n",
+       "2     2.268517e-15    0.000000e+00       0.214427  0.000000e+00     0.054006   \n",
+       "3     2.307057e-15    0.000000e+00       0.267809  0.000000e+00     0.049209   \n",
+       "4     0.000000e+00    2.039804e-16       0.095765  3.231414e-15     0.000000   \n",
+       "5     3.381965e-15    2.525427e-18       0.149668  4.420423e-21     0.068774   \n",
+       "6     3.355829e-15    0.000000e+00       0.286130  0.000000e+00     0.061388   \n",
+       "7     2.366206e-15    0.000000e+00       0.053502  0.000000e+00     0.050686   \n",
+       "8     2.023167e-15    0.000000e+00       0.260359  0.000000e+00     0.029647   \n",
+       "9     0.000000e+00    1.646976e-15       0.063885  3.302305e-15     0.000000   \n",
+       "\n",
+       "   ...     Natrolite  ZeoliteX  ZeoliteY  Na-oxide  Sulphur  Quartz  \\\n",
+       "0  ...  1.280352e-15       0.0       0.0       0.0      0.0     0.0   \n",
+       "1  ...  1.462470e-15       0.0       0.0       0.0      0.0     0.0   \n",
+       "2  ...  1.085747e-15       0.0       0.0       0.0      0.0     0.0   \n",
+       "3  ...  1.104136e-15       0.0       0.0       0.0      0.0     0.0   \n",
+       "4  ...  0.000000e+00       0.0       0.0       0.0      0.0     0.0   \n",
+       "5  ...  0.000000e+00       0.0       0.0       0.0      0.0     0.0   \n",
+       "6  ...  1.606164e-15       0.0       0.0       0.0      0.0     0.0   \n",
+       "7  ...  0.000000e+00       0.0       0.0       0.0      0.0     0.0   \n",
+       "8  ...  9.679952e-16       0.0       0.0       0.0      0.0     0.0   \n",
+       "9  ...  0.000000e+00       0.0       0.0       0.0      0.0     0.0   \n",
+       "\n",
+       "   Silica-amorph  Strontianite  Celestite  Rutile  \n",
+       "0            0.0           0.0        0.0     0.0  \n",
+       "1            0.0           0.0        0.0     0.0  \n",
+       "2            0.0           0.0        0.0     0.0  \n",
+       "3            0.0           0.0        0.0     0.0  \n",
+       "4            0.0           0.0        0.0     0.0  \n",
+       "5            0.0           0.0        0.0     0.0  \n",
+       "6            0.0           0.0        0.0     0.0  \n",
+       "7            0.0           0.0        0.0     0.0  \n",
+       "8            0.0           0.0        0.0     0.0  \n",
+       "9            0.0           0.0        0.0     0.0  \n",
+       "\n",
+       "[10 rows x 110 columns]"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "nr_samples = 10\n",
+    "file_hydr = data_path +'/final_hydration_LHS_'+str(nr_samples)+'.csv'\n",
+    "   # file_recipe = data_path + '/recipe_data_LHS_'+str(nr_samples)+'_new.csv'\n",
+    "    \n",
+    "data_hydr = pd.read_csv(file_hydr, index_col = [0])\n",
+    "data_hydr"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "cd13b55f-9872-4ede-af95-48cc712ed711",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>aq_gen</th>\n",
+       "      <th>gas_gen</th>\n",
+       "      <th>HCA-Friedels-ss</th>\n",
+       "      <th>C3(AF)S0_84H</th>\n",
+       "      <th>CSHQ</th>\n",
+       "      <th>ettringite-AlFe</th>\n",
+       "      <th>monosulph-AlFe</th>\n",
+       "      <th>straetlingite</th>\n",
+       "      <th>SO4_OH_AFm</th>\n",
+       "      <th>SO4_CO3_AFt</th>\n",
+       "      <th>...</th>\n",
+       "      <th>Natrolite</th>\n",
+       "      <th>ZeoliteX</th>\n",
+       "      <th>ZeoliteY</th>\n",
+       "      <th>Na-oxide</th>\n",
+       "      <th>Sulphur</th>\n",
+       "      <th>Quartz</th>\n",
+       "      <th>Silica-amorph</th>\n",
+       "      <th>Strontianite</th>\n",
+       "      <th>Celestite</th>\n",
+       "      <th>Rutile</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0.269995</td>\n",
+       "      <td>1.937653e-13</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>4.463574e-02</td>\n",
+       "      <td>0.406686</td>\n",
+       "      <td>2.675090e-15</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.197166</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.048568</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.280352e-15</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0.111159</td>\n",
+       "      <td>2.211961e-13</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>8.092186e-02</td>\n",
+       "      <td>0.416934</td>\n",
+       "      <td>3.055632e-15</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.256666</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.059754</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.462470e-15</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0.284722</td>\n",
+       "      <td>1.643737e-13</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>7.973443e-02</td>\n",
+       "      <td>0.313806</td>\n",
+       "      <td>2.268517e-15</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.214427</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.054006</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.085747e-15</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0.220145</td>\n",
+       "      <td>1.671365e-13</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>3.033095e-02</td>\n",
+       "      <td>0.373588</td>\n",
+       "      <td>2.307057e-15</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.267809</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.049209</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.104136e-15</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0.090904</td>\n",
+       "      <td>2.496774e-13</td>\n",
+       "      <td>1.206364e-08</td>\n",
+       "      <td>6.539423e-02</td>\n",
+       "      <td>0.562897</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>2.039804e-16</td>\n",
+       "      <td>0.095765</td>\n",
+       "      <td>3.231414e-15</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>0.140413</td>\n",
+       "      <td>2.448986e-13</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>6.592973e-02</td>\n",
+       "      <td>0.487424</td>\n",
+       "      <td>3.381965e-15</td>\n",
+       "      <td>2.525427e-18</td>\n",
+       "      <td>0.149668</td>\n",
+       "      <td>4.420423e-21</td>\n",
+       "      <td>0.068774</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>0.027873</td>\n",
+       "      <td>2.415536e-13</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>5.256497e-02</td>\n",
+       "      <td>0.511260</td>\n",
+       "      <td>3.355829e-15</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.286130</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.061388</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.606164e-15</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>0.382639</td>\n",
+       "      <td>1.714403e-13</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>5.531876e-02</td>\n",
+       "      <td>0.379604</td>\n",
+       "      <td>2.366206e-15</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.053502</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.050686</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>0.346723</td>\n",
+       "      <td>1.465161e-13</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>2.018410e-08</td>\n",
+       "      <td>0.283234</td>\n",
+       "      <td>2.023167e-15</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.260359</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.029647</td>\n",
+       "      <td>...</td>\n",
+       "      <td>9.679952e-16</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>0.006640</td>\n",
+       "      <td>2.658725e-13</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>9.956543e-02</td>\n",
+       "      <td>0.644187</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>1.646976e-15</td>\n",
+       "      <td>0.063885</td>\n",
+       "      <td>3.302305e-15</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>10 rows × 110 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     aq_gen       gas_gen  HCA-Friedels-ss  C3(AF)S0_84H      CSHQ  \\\n",
+       "0  0.269995  1.937653e-13     0.000000e+00  4.463574e-02  0.406686   \n",
+       "1  0.111159  2.211961e-13     0.000000e+00  8.092186e-02  0.416934   \n",
+       "2  0.284722  1.643737e-13     0.000000e+00  7.973443e-02  0.313806   \n",
+       "3  0.220145  1.671365e-13     0.000000e+00  3.033095e-02  0.373588   \n",
+       "4  0.090904  2.496774e-13     1.206364e-08  6.539423e-02  0.562897   \n",
+       "5  0.140413  2.448986e-13     0.000000e+00  6.592973e-02  0.487424   \n",
+       "6  0.027873  2.415536e-13     0.000000e+00  5.256497e-02  0.511260   \n",
+       "7  0.382639  1.714403e-13     0.000000e+00  5.531876e-02  0.379604   \n",
+       "8  0.346723  1.465161e-13     0.000000e+00  2.018410e-08  0.283234   \n",
+       "9  0.006640  2.658725e-13     0.000000e+00  9.956543e-02  0.644187   \n",
+       "\n",
+       "   ettringite-AlFe  monosulph-AlFe  straetlingite    SO4_OH_AFm  SO4_CO3_AFt  \\\n",
+       "0     2.675090e-15    0.000000e+00       0.197166  0.000000e+00     0.048568   \n",
+       "1     3.055632e-15    0.000000e+00       0.256666  0.000000e+00     0.059754   \n",
+       "2     2.268517e-15    0.000000e+00       0.214427  0.000000e+00     0.054006   \n",
+       "3     2.307057e-15    0.000000e+00       0.267809  0.000000e+00     0.049209   \n",
+       "4     0.000000e+00    2.039804e-16       0.095765  3.231414e-15     0.000000   \n",
+       "5     3.381965e-15    2.525427e-18       0.149668  4.420423e-21     0.068774   \n",
+       "6     3.355829e-15    0.000000e+00       0.286130  0.000000e+00     0.061388   \n",
+       "7     2.366206e-15    0.000000e+00       0.053502  0.000000e+00     0.050686   \n",
+       "8     2.023167e-15    0.000000e+00       0.260359  0.000000e+00     0.029647   \n",
+       "9     0.000000e+00    1.646976e-15       0.063885  3.302305e-15     0.000000   \n",
+       "\n",
+       "   ...     Natrolite  ZeoliteX  ZeoliteY  Na-oxide  Sulphur  Quartz  \\\n",
+       "0  ...  1.280352e-15       0.0       0.0       0.0      0.0     0.0   \n",
+       "1  ...  1.462470e-15       0.0       0.0       0.0      0.0     0.0   \n",
+       "2  ...  1.085747e-15       0.0       0.0       0.0      0.0     0.0   \n",
+       "3  ...  1.104136e-15       0.0       0.0       0.0      0.0     0.0   \n",
+       "4  ...  0.000000e+00       0.0       0.0       0.0      0.0     0.0   \n",
+       "5  ...  0.000000e+00       0.0       0.0       0.0      0.0     0.0   \n",
+       "6  ...  1.606164e-15       0.0       0.0       0.0      0.0     0.0   \n",
+       "7  ...  0.000000e+00       0.0       0.0       0.0      0.0     0.0   \n",
+       "8  ...  9.679952e-16       0.0       0.0       0.0      0.0     0.0   \n",
+       "9  ...  0.000000e+00       0.0       0.0       0.0      0.0     0.0   \n",
+       "\n",
+       "   Silica-amorph  Strontianite  Celestite  Rutile  \n",
+       "0            0.0           0.0        0.0     0.0  \n",
+       "1            0.0           0.0        0.0     0.0  \n",
+       "2            0.0           0.0        0.0     0.0  \n",
+       "3            0.0           0.0        0.0     0.0  \n",
+       "4            0.0           0.0        0.0     0.0  \n",
+       "5            0.0           0.0        0.0     0.0  \n",
+       "6            0.0           0.0        0.0     0.0  \n",
+       "7            0.0           0.0        0.0     0.0  \n",
+       "8            0.0           0.0        0.0     0.0  \n",
+       "9            0.0           0.0        0.0     0.0  \n",
+       "\n",
+       "[10 rows x 110 columns]"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data_hydr"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "750981ae-0996-47ed-87d6-d8a3c5005348",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>aq_gen</th>\n",
+       "      <th>gas_gen</th>\n",
+       "      <th>HCA-Friedels-ss</th>\n",
+       "      <th>C3(AF)S0_84H</th>\n",
+       "      <th>CSHQ</th>\n",
+       "      <th>ettringite-AlFe</th>\n",
+       "      <th>monosulph-AlFe</th>\n",
+       "      <th>straetlingite</th>\n",
+       "      <th>SO4_OH_AFm</th>\n",
+       "      <th>SO4_CO3_AFt</th>\n",
+       "      <th>...</th>\n",
+       "      <th>Natrolite</th>\n",
+       "      <th>ZeoliteX</th>\n",
+       "      <th>ZeoliteY</th>\n",
+       "      <th>Na-oxide</th>\n",
+       "      <th>Sulphur</th>\n",
+       "      <th>Quartz</th>\n",
+       "      <th>Silica-amorph</th>\n",
+       "      <th>Strontianite</th>\n",
+       "      <th>Celestite</th>\n",
+       "      <th>Rutile</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0.269995</td>\n",
+       "      <td>1.937653e-13</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>4.463574e-02</td>\n",
+       "      <td>0.406686</td>\n",
+       "      <td>2.675090e-15</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.197166</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.048568</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.280352e-15</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0.111159</td>\n",
+       "      <td>2.211961e-13</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>8.092186e-02</td>\n",
+       "      <td>0.416934</td>\n",
+       "      <td>3.055632e-15</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.256666</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.059754</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.462470e-15</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0.284722</td>\n",
+       "      <td>1.643737e-13</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>7.973443e-02</td>\n",
+       "      <td>0.313806</td>\n",
+       "      <td>2.268517e-15</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.214427</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.054006</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.085747e-15</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0.220145</td>\n",
+       "      <td>1.671365e-13</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>3.033095e-02</td>\n",
+       "      <td>0.373588</td>\n",
+       "      <td>2.307057e-15</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.267809</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.049209</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.104136e-15</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0.090904</td>\n",
+       "      <td>2.496774e-13</td>\n",
+       "      <td>1.206364e-08</td>\n",
+       "      <td>6.539423e-02</td>\n",
+       "      <td>0.562897</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>2.039804e-16</td>\n",
+       "      <td>0.095765</td>\n",
+       "      <td>3.231414e-15</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>0.140413</td>\n",
+       "      <td>2.448986e-13</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>6.592973e-02</td>\n",
+       "      <td>0.487424</td>\n",
+       "      <td>3.381965e-15</td>\n",
+       "      <td>2.525427e-18</td>\n",
+       "      <td>0.149668</td>\n",
+       "      <td>4.420423e-21</td>\n",
+       "      <td>0.068774</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>0.027873</td>\n",
+       "      <td>2.415536e-13</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>5.256497e-02</td>\n",
+       "      <td>0.511260</td>\n",
+       "      <td>3.355829e-15</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.286130</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.061388</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.606164e-15</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>0.382639</td>\n",
+       "      <td>1.714403e-13</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>5.531876e-02</td>\n",
+       "      <td>0.379604</td>\n",
+       "      <td>2.366206e-15</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.053502</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.050686</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>0.346723</td>\n",
+       "      <td>1.465161e-13</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>2.018410e-08</td>\n",
+       "      <td>0.283234</td>\n",
+       "      <td>2.023167e-15</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.260359</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.029647</td>\n",
+       "      <td>...</td>\n",
+       "      <td>9.679952e-16</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>0.006640</td>\n",
+       "      <td>2.658725e-13</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>9.956543e-02</td>\n",
+       "      <td>0.644187</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>1.646976e-15</td>\n",
+       "      <td>0.063885</td>\n",
+       "      <td>3.302305e-15</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>10 rows × 110 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     aq_gen       gas_gen  HCA-Friedels-ss  C3(AF)S0_84H      CSHQ  \\\n",
+       "0  0.269995  1.937653e-13     0.000000e+00  4.463574e-02  0.406686   \n",
+       "1  0.111159  2.211961e-13     0.000000e+00  8.092186e-02  0.416934   \n",
+       "2  0.284722  1.643737e-13     0.000000e+00  7.973443e-02  0.313806   \n",
+       "3  0.220145  1.671365e-13     0.000000e+00  3.033095e-02  0.373588   \n",
+       "4  0.090904  2.496774e-13     1.206364e-08  6.539423e-02  0.562897   \n",
+       "5  0.140413  2.448986e-13     0.000000e+00  6.592973e-02  0.487424   \n",
+       "6  0.027873  2.415536e-13     0.000000e+00  5.256497e-02  0.511260   \n",
+       "7  0.382639  1.714403e-13     0.000000e+00  5.531876e-02  0.379604   \n",
+       "8  0.346723  1.465161e-13     0.000000e+00  2.018410e-08  0.283234   \n",
+       "9  0.006640  2.658725e-13     0.000000e+00  9.956543e-02  0.644187   \n",
+       "\n",
+       "   ettringite-AlFe  monosulph-AlFe  straetlingite    SO4_OH_AFm  SO4_CO3_AFt  \\\n",
+       "0     2.675090e-15    0.000000e+00       0.197166  0.000000e+00     0.048568   \n",
+       "1     3.055632e-15    0.000000e+00       0.256666  0.000000e+00     0.059754   \n",
+       "2     2.268517e-15    0.000000e+00       0.214427  0.000000e+00     0.054006   \n",
+       "3     2.307057e-15    0.000000e+00       0.267809  0.000000e+00     0.049209   \n",
+       "4     0.000000e+00    2.039804e-16       0.095765  3.231414e-15     0.000000   \n",
+       "5     3.381965e-15    2.525427e-18       0.149668  4.420423e-21     0.068774   \n",
+       "6     3.355829e-15    0.000000e+00       0.286130  0.000000e+00     0.061388   \n",
+       "7     2.366206e-15    0.000000e+00       0.053502  0.000000e+00     0.050686   \n",
+       "8     2.023167e-15    0.000000e+00       0.260359  0.000000e+00     0.029647   \n",
+       "9     0.000000e+00    1.646976e-15       0.063885  3.302305e-15     0.000000   \n",
+       "\n",
+       "   ...     Natrolite  ZeoliteX  ZeoliteY  Na-oxide  Sulphur  Quartz  \\\n",
+       "0  ...  1.280352e-15       0.0       0.0       0.0      0.0     0.0   \n",
+       "1  ...  1.462470e-15       0.0       0.0       0.0      0.0     0.0   \n",
+       "2  ...  1.085747e-15       0.0       0.0       0.0      0.0     0.0   \n",
+       "3  ...  1.104136e-15       0.0       0.0       0.0      0.0     0.0   \n",
+       "4  ...  0.000000e+00       0.0       0.0       0.0      0.0     0.0   \n",
+       "5  ...  0.000000e+00       0.0       0.0       0.0      0.0     0.0   \n",
+       "6  ...  1.606164e-15       0.0       0.0       0.0      0.0     0.0   \n",
+       "7  ...  0.000000e+00       0.0       0.0       0.0      0.0     0.0   \n",
+       "8  ...  9.679952e-16       0.0       0.0       0.0      0.0     0.0   \n",
+       "9  ...  0.000000e+00       0.0       0.0       0.0      0.0     0.0   \n",
+       "\n",
+       "   Silica-amorph  Strontianite  Celestite  Rutile  \n",
+       "0            0.0           0.0        0.0     0.0  \n",
+       "1            0.0           0.0        0.0     0.0  \n",
+       "2            0.0           0.0        0.0     0.0  \n",
+       "3            0.0           0.0        0.0     0.0  \n",
+       "4            0.0           0.0        0.0     0.0  \n",
+       "5            0.0           0.0        0.0     0.0  \n",
+       "6            0.0           0.0        0.0     0.0  \n",
+       "7            0.0           0.0        0.0     0.0  \n",
+       "8            0.0           0.0        0.0     0.0  \n",
+       "9            0.0           0.0        0.0     0.0  \n",
+       "\n",
+       "[10 rows x 110 columns]"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data_hydr"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "1b3ec020-19fe-4ea0-bca2-116224f421b4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "for k in data_hydr.keys(): \n",
+    "    if 'fly' in k:\n",
+    "        print(k)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "3dee048d-a2a8-4936-b11b-52b0208acf9e",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "CSHQ               3.138058e-01\n",
+       "aq_gen             2.847216e-01\n",
+       "straetlingite      2.144274e-01\n",
+       "C3(AF)S0_84H       7.973443e-02\n",
+       "SO4_CO3_AFt        5.400638e-02\n",
+       "OH-hydrotalcite    2.893611e-02\n",
+       "Calcite            2.218736e-02\n",
+       "Titanite           1.999940e-03\n",
+       "HAP                1.807232e-04\n",
+       "Manganite          2.524772e-07\n",
+       "gas_gen            1.643737e-13\n",
+       "ettringite-AlFe    2.268517e-15\n",
+       "thaumasite         2.117591e-15\n",
+       "Natrolite          1.085747e-15\n",
+       "C3FS1_34H3_32      9.530634e-16\n",
+       "Hematite           1.942665e-16\n",
+       "Goethite           1.336007e-16\n",
+       "Pyrolusite         1.065854e-16\n",
+       "Pyrite             0.000000e+00\n",
+       "Troilite           0.000000e+00\n",
+       "Ferrihydrite-am    0.000000e+00\n",
+       "Magnetite          0.000000e+00\n",
+       "arcanite           0.000000e+00\n",
+       "Siderite           0.000000e+00\n",
+       "Iron               0.000000e+00\n",
+       "hemihydrate        0.000000e+00\n",
+       "Gypsum             0.000000e+00\n",
+       "Anhydrite          0.000000e+00\n",
+       "OCP                0.000000e+00\n",
+       "Brushite           0.000000e+00\n",
+       "Name: 2, dtype: float64"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data_hydr.loc[2].sort_values(ascending = False).head(30)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c22fa13c-7c7a-48b5-a005-43d69576637c",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "85369aae-f693-4cfb-b31b-b568108776e1",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "CSHQ               6.441874e-01\n",
+       "C4AsH12            1.125784e-01\n",
+       "C3(AF)S0_84H       9.956543e-02\n",
+       "straetlingite      6.388540e-02\n",
+       "OH-hydrotalcite    4.467757e-02\n",
+       "Calcite            1.941431e-02\n",
+       "C4AcH11            7.954536e-03\n",
+       "aq_gen             6.640464e-03\n",
+       "Titanite           1.093267e-03\n",
+       "HAP                3.146040e-06\n",
+       "Manganite          1.741413e-07\n",
+       "gas_gen            2.658725e-13\n",
+       "SO4_OH_AFm         3.302305e-15\n",
+       "monosulph-AlFe     1.646976e-15\n",
+       "C3AH6              1.591872e-15\n",
+       "Belite             5.507143e-16\n",
+       "Pyrolusite         1.766242e-16\n",
+       "C4FcH12            0.000000e+00\n",
+       "syngenite          0.000000e+00\n",
+       "arcanite           0.000000e+00\n",
+       "Name: 9, dtype: float64"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data_hydr.loc[9].sort_values(ascending = False).head(20)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "486c2e45-0bd4-47d0-af10-89d6c205fd97",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "CSHQ               4.379620e+00\n",
+       "aq_gen             1.881212e+00\n",
+       "straetlingite      1.845377e+00\n",
+       "C3(AF)S0_84H       5.743961e-01\n",
+       "SO4_CO3_AFt        4.220317e-01\n",
+       "Calcite            2.383529e-01\n",
+       "OH-hydrotalcite    2.360566e-01\n",
+       "C4AcH11            1.449600e-01\n",
+       "C4AsH14            1.139778e-01\n",
+       "C4AsH12            1.125784e-01\n",
+       "C3FS0_84H4_32      2.775805e-02\n",
+       "Titanite           2.056222e-02\n",
+       "HAP                2.076556e-03\n",
+       "C4Ac0_5H12         1.030415e-03\n",
+       "Manganite          9.999126e-06\n",
+       "HCA-Friedels-ss    1.206364e-08\n",
+       "gas_gen            2.066430e-12\n",
+       "ettringite-AlFe    2.143346e-14\n",
+       "thaumasite         1.623360e-14\n",
+       "Natrolite          7.506864e-15\n",
+       "dtype: float64"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data_hydr.sum().sort_values(ascending = False).head(20)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "773a502c-91d3-4910-81a3-300575564861",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Elastic moduli\n",
+    "# import data:\n",
+    "#nr_samples = 5\n",
+    "#sample = [1000, 2500, 5000, 7500, 10000, 12500, 15000, 17500, 20000]\n",
+    "\n",
+    "sample = [1250,1500,1750,2000,2250,2750,3000,3250,3500,3750,4000,4250,4500,4750]\n",
+    "\n",
+    "for nr_samples in sample:\n",
+    "    \n",
+    "    file_hydr = data_path +'/final_hydration_LHS_'+str(nr_samples)+'.csv'\n",
+    "   # file_recipe = data_path + '/recipe_data_LHS_'+str(nr_samples)+'_new.csv'\n",
+    "    \n",
+    "    data_hydr = pd.read_csv(file_hydr, index_col = [0])\n",
+    " #   data_recipe = pd.read_csv(file_recipe, index_col = [0])\n",
+    " #   data_recipe = data_recipe.reset_index(drop = True)\n",
+    "    \n",
+    "    # Assuming 'df' is your DataFrame\n",
+    "    columns_to_keep = ['CSHQ', 'Belite', 'Portlandite', 'Alite', 'Aluminate', 'Ferrite', 'Portlandite', 'C3AH6', 'C4AsH12', 'aq_gen', 'OH-hydrotalcite']\n",
+    "    \n",
+    "    # Ensure the list is unique because 'Portlandite' is listed twice\n",
+    "    columns_to_keep = list(set(columns_to_keep))\n",
+    "    \n",
+    "    # Get all other columns that are not in the list\n",
+    "    other_columns = data_hydr.columns.difference(columns_to_keep)\n",
+    "    \n",
+    "    # Create a new column 'other_material' which is the sum of all the other columns\n",
+    "    data_hydr['other_material'] = data_hydr[other_columns].sum(axis=1)\n",
+    "    \n",
+    "    # Drop the columns that have been summed into 'other_material'\n",
+    "    data_hydr = data_hydr[columns_to_keep + ['other_material']]\n",
+    "    \n",
+    "    elastic_moduli = data_elastic_moduli(data_hydr.transpose())\n",
+    "\n",
+    "\n",
+    "    elastic_moduli.to_csv(data_path+'/elastic_moduli_'+str(nr_samples)+'.csv')\n",
+    "#elastic_moduli"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "id": "96f5bf89-e7a2-45cc-b0e3-4708f0b6de31",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>K</th>\n",
+       "      <th>G</th>\n",
+       "      <th>E</th>\n",
+       "      <th>P</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>35.385204</td>\n",
+       "      <td>13.292089</td>\n",
+       "      <td>35.438853</td>\n",
+       "      <td>0.333081</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>42.303017</td>\n",
+       "      <td>15.325680</td>\n",
+       "      <td>41.023051</td>\n",
+       "      <td>0.338376</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>53.620344</td>\n",
+       "      <td>19.476501</td>\n",
+       "      <td>52.119101</td>\n",
+       "      <td>0.338000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>52.849007</td>\n",
+       "      <td>19.106404</td>\n",
+       "      <td>51.154603</td>\n",
+       "      <td>0.338677</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>34.110155</td>\n",
+       "      <td>13.122296</td>\n",
+       "      <td>34.892469</td>\n",
+       "      <td>0.329511</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4480</th>\n",
+       "      <td>16.926927</td>\n",
+       "      <td>7.909049</td>\n",
+       "      <td>20.529674</td>\n",
+       "      <td>0.297860</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4481</th>\n",
+       "      <td>30.776168</td>\n",
+       "      <td>11.900559</td>\n",
+       "      <td>31.625367</td>\n",
+       "      <td>0.328735</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4482</th>\n",
+       "      <td>15.737403</td>\n",
+       "      <td>7.550627</td>\n",
+       "      <td>19.528669</td>\n",
+       "      <td>0.293182</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4483</th>\n",
+       "      <td>18.703590</td>\n",
+       "      <td>8.044587</td>\n",
+       "      <td>21.107574</td>\n",
+       "      <td>0.311912</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4484</th>\n",
+       "      <td>17.833845</td>\n",
+       "      <td>8.110659</td>\n",
+       "      <td>21.128904</td>\n",
+       "      <td>0.302539</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>4485 rows × 4 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "              K          G          E         P\n",
+       "0     35.385204  13.292089  35.438853  0.333081\n",
+       "1     42.303017  15.325680  41.023051  0.338376\n",
+       "2     53.620344  19.476501  52.119101  0.338000\n",
+       "3     52.849007  19.106404  51.154603  0.338677\n",
+       "4     34.110155  13.122296  34.892469  0.329511\n",
+       "...         ...        ...        ...       ...\n",
+       "4480  16.926927   7.909049  20.529674  0.297860\n",
+       "4481  30.776168  11.900559  31.625367  0.328735\n",
+       "4482  15.737403   7.550627  19.528669  0.293182\n",
+       "4483  18.703590   8.044587  21.107574  0.311912\n",
+       "4484  17.833845   8.110659  21.128904  0.302539\n",
+       "\n",
+       "[4485 rows x 4 columns]"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "elastic_moduli"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c08b438a-ff79-4eec-8960-d90d560c881f",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "012ba7a8-7f3e-42df-bde2-24bf272340a8",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "bd1538a7-e8db-4328-99a7-6f5552e14a6b",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f992358a-4cfa-4a56-a078-cba85dd2f006",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8f62027e-5bbc-4476-a57f-c84205a29f9d",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "38142508-c3f2-4a8b-876c-cde45c9db262",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a4887a0e-695c-4a62-8851-bda2938f0a15",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ca27c407-86a6-4861-997e-7215a0413bde",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "13e14ee5-33ad-4b34-b194-61bd8be516ed",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.13"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/GaussianProcessElasticModuli.ipynb b/GaussianProcessElasticModuli.ipynb
index 126bd3d40d80f06b690610cbce7ca09a5f12f976..4d6140b97e1da0a3e10f9dc1c0fbe15ed86c6b4c 100644
--- a/GaussianProcessElasticModuli.ipynb
+++ b/GaussianProcessElasticModuli.ipynb
@@ -18,11 +18,11 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "2024-05-08 08:53:54.795137: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.\n",
-      "2024-05-08 08:53:54.831937: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n",
-      "2024-05-08 08:53:54.831960: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n",
-      "2024-05-08 08:53:54.832767: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n",
-      "2024-05-08 08:53:54.838151: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n",
+      "2024-05-26 06:49:53.623792: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.\n",
+      "2024-05-26 06:49:54.498298: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n",
+      "2024-05-26 06:49:54.498348: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n",
+      "2024-05-26 06:49:54.651153: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n",
+      "2024-05-26 06:49:54.967029: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n",
       "To enable the following instructions: SSE4.1 SSE4.2 AVX AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n"
      ]
     }
@@ -58,7 +58,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "name = '_10_all_output_lower_bounds'"
+    "name = '_LHS_1000_'"
    ]
   },
   {
@@ -99,7 +99,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 100,
    "id": "a1f5f9c4-cd55-4902-9939-a1df3871303e",
    "metadata": {},
    "outputs": [
@@ -108,8 +108,8 @@
      "output_type": "stream",
      "text": [
       "=====================================================\n",
-      "The score for the Gaussian Process for hydration on the training set is:  1.0\n",
-      "The mean square error on the training set is:  1.3540610941830282e-19\n"
+      "The score for the Gaussian Process for hydration on the training set is:  0.005564597610017874\n",
+      "The mean square error on the training set is:  89.10860038031473\n"
      ]
     }
    ],
@@ -119,7 +119,11 @@
     "#                    GAUSSIAN PROCESS\n",
     "#\n",
     "########################################################################################\n",
-    "kernel = 1**2 * Matern(length_scale=1, nu=1.5)\n",
+    "#kernel = 1**2 * Matern(length_scale=2, nu=1.6)\n",
+    "#kernel = 1**2 * RBF(length_scale=1.5)\n",
+    "#kernel = 1**2 * RationalQuadratic(length_scale=1, alpha=0.8)\n",
+    "kernel = 1**2 * Matern(length_scale=2, nu=1.6) + WhiteKernel(noise_level=1)\n",
+    "\n",
     "\n",
     "gpg = GaussianProcessRegressor(kernel).fit(train_input_gp, train_elastic_gp)\n",
     "print('=====================================================')\n",
@@ -129,17 +133,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 101,
    "id": "909e5fa8-b27f-44c9-886d-77f8e2da4bda",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "['/mnt/disk1/projects/Cement/02-Software_and_Models/Models/Output/Models/GPG_10_all_output_lower_bounds.joblib']"
+       "['/mnt/disk1/projects/Cement/02-Software_and_Models/Models/Output/Models/GPG_LHS_1000_.joblib']"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 101,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -160,7 +164,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 102,
    "id": "c34a194f-dc90-429c-ab22-02f11b8f8392",
    "metadata": {},
    "outputs": [],
@@ -186,7 +190,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 103,
    "id": "0bd18f1a-6e50-4871-955b-6a943634ab1b",
    "metadata": {},
    "outputs": [
@@ -194,8 +198,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "The score for the Gaussian Process for hydration on the test set is:  0.9900947266657678\n",
-      "The mean square error on the test set is:  0.1847154418986157\n"
+      "The score for the Gaussian Process for hydration on the test set is:  -0.013730180554499483\n",
+      "The mean square error on the test set is:  81.06618156335813\n"
      ]
     }
    ],
@@ -206,7 +210,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 104,
    "id": "d0808702-1a8f-4927-a237-ec00f5ffcb83",
    "metadata": {},
    "outputs": [
@@ -240,38 +244,38 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>20.012828</td>\n",
-       "      <td>9.156960</td>\n",
-       "      <td>23.835754</td>\n",
-       "      <td>0.301573</td>\n",
+       "      <td>28.001318</td>\n",
+       "      <td>11.356201</td>\n",
+       "      <td>29.973067</td>\n",
+       "      <td>0.313645</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>16.592965</td>\n",
-       "      <td>7.755532</td>\n",
-       "      <td>20.130255</td>\n",
-       "      <td>0.297793</td>\n",
+       "      <td>27.734012</td>\n",
+       "      <td>11.263640</td>\n",
+       "      <td>29.724900</td>\n",
+       "      <td>0.313675</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>16.342426</td>\n",
-       "      <td>7.857496</td>\n",
-       "      <td>20.316196</td>\n",
-       "      <td>0.292752</td>\n",
+       "      <td>27.583922</td>\n",
+       "      <td>11.207811</td>\n",
+       "      <td>29.576365</td>\n",
+       "      <td>0.313709</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>13.594387</td>\n",
-       "      <td>6.743288</td>\n",
-       "      <td>17.359511</td>\n",
-       "      <td>0.287164</td>\n",
+       "      <td>27.727927</td>\n",
+       "      <td>11.264734</td>\n",
+       "      <td>29.726408</td>\n",
+       "      <td>0.313584</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>15.867636</td>\n",
-       "      <td>7.514001</td>\n",
-       "      <td>19.468905</td>\n",
-       "      <td>0.295510</td>\n",
+       "      <td>27.767433</td>\n",
+       "      <td>11.275919</td>\n",
+       "      <td>29.757283</td>\n",
+       "      <td>0.313620</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>...</th>\n",
@@ -281,63 +285,63 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>200</th>\n",
-       "      <td>20.221049</td>\n",
-       "      <td>9.253764</td>\n",
-       "      <td>24.086880</td>\n",
-       "      <td>0.301466</td>\n",
+       "      <th>184</th>\n",
+       "      <td>27.807300</td>\n",
+       "      <td>11.285803</td>\n",
+       "      <td>29.785354</td>\n",
+       "      <td>0.313694</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>201</th>\n",
-       "      <td>32.942467</td>\n",
-       "      <td>13.929896</td>\n",
-       "      <td>36.620738</td>\n",
-       "      <td>0.313567</td>\n",
+       "      <th>185</th>\n",
+       "      <td>27.731365</td>\n",
+       "      <td>11.258449</td>\n",
+       "      <td>29.712208</td>\n",
+       "      <td>0.313694</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>202</th>\n",
-       "      <td>18.228001</td>\n",
-       "      <td>8.496921</td>\n",
-       "      <td>22.062145</td>\n",
-       "      <td>0.298167</td>\n",
+       "      <th>186</th>\n",
+       "      <td>27.845469</td>\n",
+       "      <td>11.297580</td>\n",
+       "      <td>29.817358</td>\n",
+       "      <td>0.313702</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>203</th>\n",
-       "      <td>21.264047</td>\n",
-       "      <td>9.695591</td>\n",
-       "      <td>25.248835</td>\n",
-       "      <td>0.301990</td>\n",
+       "      <th>187</th>\n",
+       "      <td>27.745033</td>\n",
+       "      <td>11.263240</td>\n",
+       "      <td>29.725150</td>\n",
+       "      <td>0.313706</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>204</th>\n",
-       "      <td>22.493037</td>\n",
-       "      <td>9.990197</td>\n",
-       "      <td>26.102163</td>\n",
-       "      <td>0.305899</td>\n",
+       "      <th>188</th>\n",
+       "      <td>27.878622</td>\n",
+       "      <td>11.307637</td>\n",
+       "      <td>29.845112</td>\n",
+       "      <td>0.313761</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>205 rows × 4 columns</p>\n",
+       "<p>189 rows × 4 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
        "             K          G          E         P\n",
-       "0    20.012828   9.156960  23.835754  0.301573\n",
-       "1    16.592965   7.755532  20.130255  0.297793\n",
-       "2    16.342426   7.857496  20.316196  0.292752\n",
-       "3    13.594387   6.743288  17.359511  0.287164\n",
-       "4    15.867636   7.514001  19.468905  0.295510\n",
+       "0    28.001318  11.356201  29.973067  0.313645\n",
+       "1    27.734012  11.263640  29.724900  0.313675\n",
+       "2    27.583922  11.207811  29.576365  0.313709\n",
+       "3    27.727927  11.264734  29.726408  0.313584\n",
+       "4    27.767433  11.275919  29.757283  0.313620\n",
        "..         ...        ...        ...       ...\n",
-       "200  20.221049   9.253764  24.086880  0.301466\n",
-       "201  32.942467  13.929896  36.620738  0.313567\n",
-       "202  18.228001   8.496921  22.062145  0.298167\n",
-       "203  21.264047   9.695591  25.248835  0.301990\n",
-       "204  22.493037   9.990197  26.102163  0.305899\n",
+       "184  27.807300  11.285803  29.785354  0.313694\n",
+       "185  27.731365  11.258449  29.712208  0.313694\n",
+       "186  27.845469  11.297580  29.817358  0.313702\n",
+       "187  27.745033  11.263240  29.725150  0.313706\n",
+       "188  27.878622  11.307637  29.845112  0.313761\n",
        "\n",
-       "[205 rows x 4 columns]"
+       "[189 rows x 4 columns]"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 104,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -349,7 +353,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 105,
    "id": "dbb15bb9-84af-4d11-a355-a1909ab26acc",
    "metadata": {},
    "outputs": [
@@ -369,7 +373,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x1000 with 4 Axes>"
       ]
@@ -402,7 +406,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 88,
    "id": "75141be0-1416-469a-b3bd-692351fd1905",
    "metadata": {},
    "outputs": [
@@ -436,38 +440,38 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>20.012828</td>\n",
-       "      <td>9.156960</td>\n",
-       "      <td>23.835754</td>\n",
-       "      <td>0.301573</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>16.592965</td>\n",
-       "      <td>7.755532</td>\n",
-       "      <td>20.130255</td>\n",
-       "      <td>0.297793</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>16.342426</td>\n",
-       "      <td>7.857496</td>\n",
-       "      <td>20.316196</td>\n",
-       "      <td>0.292752</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>13.594387</td>\n",
-       "      <td>6.743288</td>\n",
-       "      <td>17.359511</td>\n",
-       "      <td>0.287164</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>15.867636</td>\n",
-       "      <td>7.514001</td>\n",
-       "      <td>19.468905</td>\n",
-       "      <td>0.295510</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>...</th>\n",
@@ -477,63 +481,63 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>200</th>\n",
-       "      <td>20.221049</td>\n",
-       "      <td>9.253764</td>\n",
-       "      <td>24.086880</td>\n",
-       "      <td>0.301466</td>\n",
+       "      <th>184</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>201</th>\n",
-       "      <td>32.942467</td>\n",
-       "      <td>13.929896</td>\n",
-       "      <td>36.620738</td>\n",
-       "      <td>0.313567</td>\n",
+       "      <th>185</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>202</th>\n",
-       "      <td>18.228001</td>\n",
-       "      <td>8.496921</td>\n",
-       "      <td>22.062145</td>\n",
-       "      <td>0.298167</td>\n",
+       "      <th>186</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>203</th>\n",
-       "      <td>21.264047</td>\n",
-       "      <td>9.695591</td>\n",
-       "      <td>25.248835</td>\n",
-       "      <td>0.301990</td>\n",
+       "      <th>187</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>204</th>\n",
-       "      <td>22.493037</td>\n",
-       "      <td>9.990197</td>\n",
-       "      <td>26.102163</td>\n",
-       "      <td>0.305899</td>\n",
+       "      <th>188</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>205 rows × 4 columns</p>\n",
+       "<p>189 rows × 4 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "             K          G          E         P\n",
-       "0    20.012828   9.156960  23.835754  0.301573\n",
-       "1    16.592965   7.755532  20.130255  0.297793\n",
-       "2    16.342426   7.857496  20.316196  0.292752\n",
-       "3    13.594387   6.743288  17.359511  0.287164\n",
-       "4    15.867636   7.514001  19.468905  0.295510\n",
-       "..         ...        ...        ...       ...\n",
-       "200  20.221049   9.253764  24.086880  0.301466\n",
-       "201  32.942467  13.929896  36.620738  0.313567\n",
-       "202  18.228001   8.496921  22.062145  0.298167\n",
-       "203  21.264047   9.695591  25.248835  0.301990\n",
-       "204  22.493037   9.990197  26.102163  0.305899\n",
+       "       K    G    E    P\n",
+       "0    0.0  0.0  0.0  0.0\n",
+       "1    0.0  0.0  0.0  0.0\n",
+       "2    0.0  0.0  0.0  0.0\n",
+       "3    0.0  0.0  0.0  0.0\n",
+       "4    0.0  0.0  0.0  0.0\n",
+       "..   ...  ...  ...  ...\n",
+       "184  0.0  0.0  0.0  0.0\n",
+       "185  0.0  0.0  0.0  0.0\n",
+       "186  0.0  0.0  0.0  0.0\n",
+       "187  0.0  0.0  0.0  0.0\n",
+       "188  0.0  0.0  0.0  0.0\n",
        "\n",
-       "[205 rows x 4 columns]"
+       "[189 rows x 4 columns]"
       ]
      },
-     "execution_count": 11,
+     "execution_count": 88,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -549,6 +553,14 @@
    "metadata": {},
    "outputs": [],
    "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ce262f37-27c7-4b10-894a-c712e7a9d1ad",
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
diff --git a/Optimization.ipynb b/Optimization.ipynb
index a0b6cc2cbcef1a7ada962231e20734cb65f4a3be..4409770fbe905fe30bb0ec5a931972abda34dd8e 100644
--- a/Optimization.ipynb
+++ b/Optimization.ipynb
@@ -16,7 +16,9 @@
    "cell_type": "code",
    "execution_count": 1,
    "id": "7b7219fb-4c0e-43e5-8708-d2dc5b308872",
-   "metadata": {},
+   "metadata": {
+    "scrolled": true
+   },
    "outputs": [
     {
      "name": "stderr",
@@ -770,7 +772,7 @@
     "        \n",
     "        return c_function.predict(x1)[0][1]\n",
     "    print('Initialization of the constraints')\n",
-    "    bounds = Bounds([45, 0, 4, 7, 1, 25, 385, 0.3, 1, 0, 0, 0, 0, 0] , [80, 32, 14, 15, 1, 25, 385, 2, 5, 30, 30, 80, 40, 70])\n",
+    "    bounds = Bounds([45, 10, 0, 0, 1, 25, 385, 0.3, 4, 0, 0, 0, 0, 0] , [80, 32, 14, 15, 1, 25, 385, 0.7, 4, 20, 10, 35, 35, 35])\n",
     "    m = [[1, 1, 1, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0],\n",
     "         [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n",
     "         [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n",
@@ -1143,8 +1145,8 @@
     "                        n_obj = 2, \n",
     "                        n_ieq_constr = 4, \n",
     "                        n_eq_constr = 1, \n",
-    "                        xl = [45, 0, 4, 7, 1, 25, 385, 0.3, 1, 0, 0, 0, 0, 0], \n",
-    "                        xu = [80, 32, 14, 15, 1, 25, 385, 2, 5, 30, 30, 30, 30, 30])\n",
+    "                        xl = [45, 10, 0, 0, 1, 25, 385, 0.3, 4, 0, 0, 0, 0, 0], \n",
+    "                        xu = [80, 32, 14, 15, 1, 25, 385, 0.7, 4, 20, 10, 35, 35, 35])\n",
     "\n",
     "    def _evaluate(self, x, out, *args, **kwargs):\n",
     "        f1 = co2_emission_fct(x)\n",
@@ -1163,40 +1165,40 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 164,
+   "execution_count": 266,
    "id": "38b553e7-5f93-4ce8-b5b8-40bd7eda0d3a",
    "metadata": {},
    "outputs": [],
    "source": [
     "# Implement the Multiobjective Optimization Problem:\n",
-    "class MyProblem(ElementwiseProblem):\n",
+    "class MyProblem1(ElementwiseProblem):\n",
     "\n",
     "    def __init__(self):\n",
     "        super().__init__(n_var = 14, \n",
     "                        n_obj = 2, \n",
     "                        n_ieq_constr = 4, \n",
     "                        n_eq_constr = 1, \n",
-    "                        xl = [45, 0, 4, 7, 1, 25, 385, 0.3, 1, 0, 0, 0, 0, 0], \n",
-    "                        xu = [80, 32, 14, 15, 1, 25, 385, 2, 5, 30, 30, 30, 30, 30])\n",
+    "                        xl = [45, 10, 0, 0, 1, 25, 385, 0.3, 4, 0, 0, 0, 0, 0], \n",
+    "                        xu = [80, 32, 14, 15, 1, 25, 385, 0.7, 4, 20, 10, 35, 35, 35])\n",
     "\n",
     "    def _evaluate(self, x, out, *args, **kwargs):\n",
-    "        f1 = co2_emission_fct(x)\n",
+    "        f1 = co2_emission_fct(x)  # minimize CO2\n",
     "\n",
-    "        f2 = -np.linalg.norm(elasticity(x))\n",
-    "        g1 = 10 - elasticity(x)[0][0]\n",
-    "        g2 = 10 - elasticity(x)[0][1]\n",
-    "        g3 = 10 - elasticity(x)[0][2]\n",
-    "        g4 = 0.15 - elasticity(x)[0][3]\n",
-    "        h1 = 100- (x[0]+x[1]+x[2]+x[3])\n",
+    "        f2 = -elasticity(x)[0][0]   # maximize the bulk modulus\n",
+    "        \n",
+    "        g1 = 10 - elasticity(x)[0][0]   # bulk modulus should be higher than a certain amount to ensue that the compressive strength has a certain value\n",
+    "        g2 = x[9]+x[10]+x[11]+x[12]+x[13]-100  # sum of SCM should be smaller than 0 \n",
+    "        h1 = 100- (x[0]+x[1]+x[2]+x[3]+x[8])  # sum of all cement ingredients should add up to 100\n",
+    "        \n",
     "        out[\"F\"] = [f1,f2]\n",
-    "        out[\"G\"] = [g1,g2,g3,g4]\n",
+    "        out[\"G\"] = [g1,g2]\n",
     "        out[\"H\"] = [h1]\n",
-    "problem = MyProblem()        "
+    "problem = MyProblem1()        "
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 165,
+   "execution_count": 267,
    "id": "d8b18588-72e0-426b-92f9-82864c3fc8ba",
    "metadata": {},
    "outputs": [],
@@ -1220,7 +1222,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 166,
+   "execution_count": 268,
    "id": "7e03ddb5-3008-4897-b0c3-130095ad7b43",
    "metadata": {},
    "outputs": [],
@@ -1233,7 +1235,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 167,
+   "execution_count": 269,
    "id": "ef10c664-8e15-4f79-8743-90e0ebb34f8a",
    "metadata": {},
    "outputs": [
@@ -1244,1006 +1246,1006 @@
       "==========================================================================================\n",
       "n_gen  |  n_eval  | n_nds  |     cv_min    |     cv_avg    |      eps      |   indicator  \n",
       "==========================================================================================\n",
-      "     1 |      100 |      1 |  1.2439920415 |  1.321840E+01 |             - |             -\n",
-      "     2 |      110 |      1 |  1.2439920415 |  1.153454E+01 |             - |             -\n",
-      "     3 |      120 |      1 |  1.2439920415 |  9.9143616548 |             - |             -\n",
-      "     4 |      130 |      1 |  1.2439920415 |  8.7688211527 |             - |             -\n",
-      "     5 |      140 |      1 |  1.2439920415 |  8.1781202374 |             - |             -\n",
-      "     6 |      150 |      1 |  1.2439920415 |  7.4743334748 |             - |             -\n",
-      "     7 |      160 |      1 |  1.2439920415 |  6.7372980409 |             - |             -\n",
-      "     8 |      170 |      1 |  1.2439920415 |  5.9807427886 |             - |             -\n",
-      "     9 |      180 |      1 |  1.2439920415 |  5.7326543740 |             - |             -\n",
-      "    10 |      190 |      1 |  1.2439920415 |  5.1013231420 |             - |             -\n",
-      "    11 |      200 |      1 |  1.2439920415 |  4.8302047883 |             - |             -\n",
-      "    12 |      210 |      1 |  1.2010357408 |  4.4414926414 |             - |             -\n",
-      "    13 |      220 |      1 |  1.2010357408 |  4.2250627723 |             - |             -\n",
-      "    14 |      230 |      1 |  1.2010357408 |  3.9328684812 |             - |             -\n",
-      "    15 |      240 |      1 |  1.2010357408 |  3.8437606010 |             - |             -\n",
-      "    16 |      250 |      1 |  1.2010357408 |  3.7019389408 |             - |             -\n",
-      "    17 |      260 |      1 |  1.2010357408 |  3.4683027775 |             - |             -\n",
-      "    18 |      270 |      1 |  1.2010357408 |  3.3915309185 |             - |             -\n",
-      "    19 |      280 |      1 |  1.2010357408 |  3.2904170332 |             - |             -\n",
-      "    20 |      290 |      1 |  0.9243297724 |  3.1020198734 |             - |             -\n",
-      "    21 |      300 |      1 |  0.9243297724 |  2.9919900613 |             - |             -\n",
-      "    22 |      310 |      1 |  0.9243297724 |  2.8949330231 |             - |             -\n",
-      "    23 |      320 |      1 |  0.9243297724 |  2.8015587887 |             - |             -\n",
-      "    24 |      330 |      1 |  0.9243297724 |  2.7184354112 |             - |             -\n",
-      "    25 |      340 |      1 |  0.9243297724 |  2.6436869448 |             - |             -\n",
-      "    26 |      350 |      1 |  0.7104353908 |  2.5451281407 |             - |             -\n",
-      "    27 |      360 |      1 |  0.7104353908 |  2.4564134700 |             - |             -\n",
-      "    28 |      370 |      1 |  0.7104353908 |  2.3942597865 |             - |             -\n",
-      "    29 |      380 |      1 |  0.7104353908 |  2.3461028662 |             - |             -\n",
-      "    30 |      390 |      1 |  0.7104353908 |  2.2783464364 |             - |             -\n",
-      "    31 |      400 |      1 |  0.7104353908 |  2.1567244833 |             - |             -\n",
-      "    32 |      410 |      1 |  0.7104353908 |  2.0992301830 |             - |             -\n",
-      "    33 |      420 |      1 |  0.7104353908 |  2.0460738349 |             - |             -\n",
-      "    34 |      430 |      1 |  0.5573062668 |  1.9919794683 |             - |             -\n",
-      "    35 |      440 |      1 |  0.5573062668 |  1.9620702299 |             - |             -\n",
-      "    36 |      450 |      1 |  0.3756663120 |  1.9071976052 |             - |             -\n",
-      "    37 |      460 |      1 |  0.3756663120 |  1.8499844335 |             - |             -\n",
-      "    38 |      470 |      1 |  0.3756663120 |  1.8046444268 |             - |             -\n",
-      "    39 |      480 |      1 |  0.3756663120 |  1.7607729119 |             - |             -\n",
-      "    40 |      490 |      1 |  0.3756663120 |  1.6840639486 |             - |             -\n",
-      "    41 |      500 |      1 |  0.3756663120 |  1.6420841432 |             - |             -\n",
-      "    42 |      510 |      1 |  0.3756663120 |  1.5893705325 |             - |             -\n",
-      "    43 |      520 |      1 |  0.3756663120 |  1.5372319230 |             - |             -\n",
-      "    44 |      530 |      1 |  0.3756663120 |  1.4565276784 |             - |             -\n",
-      "    45 |      540 |      1 |  0.1000469928 |  1.3854628957 |             - |             -\n",
-      "    46 |      550 |      1 |  0.1000469928 |  1.3237090836 |             - |             -\n",
-      "    47 |      560 |      1 |  0.1000469928 |  1.2534677884 |             - |             -\n",
-      "    48 |      570 |      1 |  0.1000469928 |  1.1755677124 |             - |             -\n",
-      "    49 |      580 |      1 |  0.1000469928 |  1.1444798976 |             - |             -\n",
-      "    50 |      590 |      1 |  0.1000469928 |  1.0632431696 |             - |             -\n",
-      "    51 |      600 |      1 |  0.1000469928 |  1.0240191136 |             - |             -\n",
-      "    52 |      610 |      1 |  0.1000469928 |  0.9793781499 |             - |             -\n",
-      "    53 |      620 |      1 |  0.1000469928 |  0.9453933634 |             - |             -\n",
-      "    54 |      630 |      1 |  0.0834960068 |  0.9165664467 |             - |             -\n",
-      "    55 |      640 |      1 |  0.0834960068 |  0.8638577887 |             - |             -\n",
-      "    56 |      650 |      1 |  0.0834960068 |  0.8022891621 |             - |             -\n",
-      "    57 |      660 |      1 |  0.0834960068 |  0.7604351135 |             - |             -\n",
-      "    58 |      670 |      1 |  0.0407951392 |  0.7295080489 |             - |             -\n",
-      "    59 |      680 |      1 |  0.0407951392 |  0.6964196833 |             - |             -\n",
-      "    60 |      690 |      1 |  0.0407951392 |  0.6608051577 |             - |             -\n",
-      "    61 |      700 |      1 |  0.0407951392 |  0.6272678099 |             - |             -\n",
-      "    62 |      710 |      1 |  0.0407951392 |  0.5890484128 |             - |             -\n",
-      "    63 |      720 |      1 |  0.0407951392 |  0.5730979909 |             - |             -\n",
-      "    64 |      730 |      1 |  0.0407951392 |  0.5432641141 |             - |             -\n",
-      "    65 |      740 |      1 |  0.0407951392 |  0.5189761527 |             - |             -\n",
-      "    66 |      750 |      1 |  0.0407951392 |  0.5020563463 |             - |             -\n",
-      "    67 |      760 |      1 |  0.0407951392 |  0.4843630266 |             - |             -\n",
-      "    68 |      770 |      1 |  0.0407951392 |  0.4535464992 |             - |             -\n",
-      "    69 |      780 |      1 |  0.0407951392 |  0.4196150728 |             - |             -\n",
-      "    70 |      790 |      1 |  0.0407951392 |  0.3857827054 |             - |             -\n",
-      "    71 |      800 |      1 |  0.0407951392 |  0.3696805794 |             - |             -\n",
-      "    72 |      810 |      1 |  0.0407951392 |  0.3592607775 |             - |             -\n",
-      "    73 |      820 |      1 |  0.0407951392 |  0.3215675487 |             - |             -\n",
-      "    74 |      830 |      1 |  0.0407951392 |  0.3109788656 |             - |             -\n",
-      "    75 |      840 |      1 |  0.0046027960 |  0.3002537319 |             - |             -\n",
-      "    76 |      850 |      1 |  0.0046027960 |  0.2684478086 |             - |             -\n",
-      "    77 |      860 |      1 |  0.0046027960 |  0.2459438546 |             - |             -\n",
-      "    78 |      870 |      1 |  0.0046027960 |  0.2298614639 |             - |             -\n",
-      "    79 |      880 |      1 |  0.0046027960 |  0.2139147837 |             - |             -\n",
-      "    80 |      890 |      1 |  0.0046027960 |  0.1873038489 |             - |             -\n",
-      "    81 |      900 |      1 |  0.0046027960 |  0.1722487135 |             - |             -\n",
-      "    82 |      910 |      1 |  0.0046027960 |  0.1549113482 |             - |             -\n",
-      "    83 |      920 |      1 |  0.0046027960 |  0.1393328602 |             - |             -\n",
-      "    84 |      930 |      1 |  0.0046027960 |  0.1308568960 |             - |             -\n",
-      "    85 |      940 |      1 |  0.0046027960 |  0.1221230662 |             - |             -\n",
-      "    86 |      950 |      1 |  0.0046027960 |  0.1174097182 |             - |             -\n",
-      "    87 |      960 |      1 |  0.0046027960 |  0.1115376633 |             - |             -\n",
-      "    88 |      970 |      1 |  0.0046027960 |  0.1053670706 |             - |             -\n",
-      "    89 |      980 |      1 |  0.0046027960 |  0.1017451191 |             - |             -\n",
-      "    90 |      990 |      1 |  0.0046027960 |  0.0953147665 |             - |             -\n",
-      "    91 |     1000 |      1 |  0.0046027960 |  0.0919631545 |             - |             -\n",
-      "    92 |     1010 |      1 |  0.0046027960 |  0.0878052255 |             - |             -\n",
-      "    93 |     1020 |      1 |  0.0046027960 |  0.0854588500 |             - |             -\n",
-      "    94 |     1030 |      1 |  0.0046027960 |  0.0833431337 |             - |             -\n",
-      "    95 |     1040 |      1 |  0.0046027960 |  0.0822197041 |             - |             -\n",
-      "    96 |     1050 |      1 |  0.0046027960 |  0.0783265517 |             - |             -\n",
-      "    97 |     1060 |      1 |  0.0046027960 |  0.0729314650 |             - |             -\n",
-      "    98 |     1070 |      1 |  0.0046027960 |  0.0706825337 |             - |             -\n",
-      "    99 |     1080 |      1 |  0.0046027960 |  0.0634898775 |             - |             -\n",
-      "   100 |     1090 |      1 |  0.0042296550 |  0.0582360746 |             - |             -\n",
-      "   101 |     1100 |      1 |  0.0042296550 |  0.0557820710 |             - |             -\n",
-      "   102 |     1110 |      1 |  0.0042296550 |  0.0540483326 |             - |             -\n",
-      "   103 |     1120 |      1 |  0.0042296550 |  0.0520698493 |             - |             -\n",
-      "   104 |     1130 |      1 |  0.0042296550 |  0.0517809737 |             - |             -\n",
-      "   105 |     1140 |      1 |  0.0042296550 |  0.0478521690 |             - |             -\n",
-      "   106 |     1150 |      1 |  0.0042296550 |  0.0453036586 |             - |             -\n",
-      "   107 |     1160 |      1 |  0.0042296550 |  0.0427032564 |             - |             -\n",
-      "   108 |     1170 |      1 |  0.0042296550 |  0.0405593612 |             - |             -\n",
-      "   109 |     1180 |      1 |  0.0042296550 |  0.0383046026 |             - |             -\n",
-      "   110 |     1190 |      1 |  0.0042296550 |  0.0359815923 |             - |             -\n",
-      "   111 |     1200 |      1 |  0.0042296550 |  0.0349685552 |             - |             -\n",
-      "   112 |     1210 |      1 |  0.0042296550 |  0.0341177582 |             - |             -\n",
-      "   113 |     1220 |      1 |  0.0042296550 |  0.0338867993 |             - |             -\n",
-      "   114 |     1230 |      1 |  0.0042296550 |  0.0329151916 |             - |             -\n",
-      "   115 |     1240 |      1 |  0.0042296550 |  0.0311020091 |             - |             -\n",
-      "   116 |     1250 |      1 |  0.0042296550 |  0.0303397315 |             - |             -\n",
-      "   117 |     1260 |      1 |  0.0042296550 |  0.0297157471 |             - |             -\n",
-      "   118 |     1270 |      1 |  0.0042296550 |  0.0285345891 |             - |             -\n",
-      "   119 |     1280 |      1 |  0.0042296550 |  0.0273695527 |             - |             -\n",
-      "   120 |     1290 |      1 |  0.0005619107 |  0.0258517552 |             - |             -\n",
-      "   121 |     1300 |      1 |  0.0005619107 |  0.0254110515 |             - |             -\n",
-      "   122 |     1310 |      1 |  0.0005619107 |  0.0232770473 |             - |             -\n",
-      "   123 |     1320 |      1 |  0.0005619107 |  0.0223325767 |             - |             -\n",
-      "   124 |     1330 |      1 |  0.0005619107 |  0.0209738592 |             - |             -\n",
-      "   125 |     1340 |      1 |  0.0005619107 |  0.0207944762 |             - |             -\n",
-      "   126 |     1350 |      1 |  0.0005619107 |  0.0199105612 |             - |             -\n",
-      "   127 |     1360 |      1 |  0.0005619107 |  0.0187100280 |             - |             -\n",
-      "   128 |     1370 |      1 |  0.0005619107 |  0.0174271959 |             - |             -\n",
-      "   129 |     1380 |      1 |  0.0005619107 |  0.0174271959 |             - |             -\n",
-      "   130 |     1390 |      1 |  0.0005619107 |  0.0165095061 |             - |             -\n",
-      "   131 |     1400 |      1 |  0.0005619107 |  0.0161264012 |             - |             -\n",
-      "   132 |     1410 |      1 |  0.0005619107 |  0.0155240597 |             - |             -\n",
-      "   133 |     1420 |      1 |  0.000000E+00 |  0.0142695845 |             - |             -\n",
-      "   134 |     1430 |      1 |  0.000000E+00 |  0.0136147699 |  0.000000E+00 |             f\n",
-      "   135 |     1440 |      1 |  0.000000E+00 |  0.0131520438 |  0.000000E+00 |             f\n",
-      "   136 |     1450 |      1 |  0.000000E+00 |  0.0122549964 |  0.000000E+00 |             f\n",
-      "   137 |     1460 |      1 |  0.000000E+00 |  0.0122526145 |  0.000000E+00 |             f\n",
-      "   138 |     1470 |      1 |  0.000000E+00 |  0.0114947567 |  0.000000E+00 |             f\n",
-      "   139 |     1480 |      1 |  0.000000E+00 |  0.0111351551 |  0.000000E+00 |             f\n",
-      "   140 |     1490 |      1 |  0.000000E+00 |  0.0104052926 |  0.000000E+00 |             f\n",
-      "   141 |     1500 |      1 |  0.000000E+00 |  0.0101169682 |  0.000000E+00 |             f\n",
-      "   142 |     1510 |      1 |  0.000000E+00 |  0.0097675639 |  0.000000E+00 |             f\n",
-      "   143 |     1520 |      1 |  0.000000E+00 |  0.0094632942 |  0.000000E+00 |             f\n",
-      "   144 |     1530 |      1 |  0.000000E+00 |  0.0089954746 |  0.000000E+00 |             f\n",
-      "   145 |     1540 |      1 |  0.000000E+00 |  0.0089231956 |  0.000000E+00 |             f\n",
-      "   146 |     1550 |      1 |  0.000000E+00 |  0.0086820602 |  0.000000E+00 |             f\n",
-      "   147 |     1560 |      1 |  0.000000E+00 |  0.0084386578 |  0.000000E+00 |             f\n",
-      "   148 |     1570 |      1 |  0.000000E+00 |  0.0081267811 |  0.000000E+00 |             f\n",
-      "   149 |     1580 |      1 |  0.000000E+00 |  0.0076936812 |  0.000000E+00 |             f\n",
-      "   150 |     1590 |      1 |  0.000000E+00 |  0.0076585922 |  0.000000E+00 |             f\n",
-      "   151 |     1600 |      1 |  0.000000E+00 |  0.0071515340 |  0.000000E+00 |             f\n",
-      "   152 |     1610 |      1 |  0.000000E+00 |  0.0068860620 |  0.000000E+00 |             f\n",
-      "   153 |     1620 |      1 |  0.000000E+00 |  0.0066904246 |  0.000000E+00 |             f\n",
-      "   154 |     1630 |      1 |  0.000000E+00 |  0.0066178041 |  0.000000E+00 |             f\n",
-      "   155 |     1640 |      1 |  0.000000E+00 |  0.0066178041 |  0.000000E+00 |             f\n",
-      "   156 |     1650 |      1 |  0.000000E+00 |  0.0062835565 |  0.000000E+00 |             f\n",
-      "   157 |     1660 |      1 |  0.000000E+00 |  0.0059269332 |  0.000000E+00 |             f\n",
-      "   158 |     1670 |      1 |  0.000000E+00 |  0.0054820538 |  0.000000E+00 |             f\n",
-      "   159 |     1680 |      1 |  0.000000E+00 |  0.0053162896 |  0.000000E+00 |             f\n",
-      "   160 |     1690 |      1 |  0.000000E+00 |  0.0050924854 |  0.000000E+00 |             f\n",
-      "   161 |     1700 |      1 |  0.000000E+00 |  0.0049825754 |  0.000000E+00 |             f\n",
-      "   162 |     1710 |      1 |  0.000000E+00 |  0.0048184459 |  0.000000E+00 |             f\n",
-      "   163 |     1720 |      1 |  0.000000E+00 |  0.0045692576 |  0.000000E+00 |             f\n",
-      "   164 |     1730 |      1 |  0.000000E+00 |  0.0043213617 |  0.000000E+00 |             f\n",
-      "   165 |     1740 |      2 |  0.000000E+00 |  0.0040617704 |  1.0000000000 |         ideal\n",
-      "   166 |     1750 |      2 |  0.000000E+00 |  0.0039361344 |  0.000000E+00 |             f\n",
-      "   167 |     1760 |      2 |  0.000000E+00 |  0.0036857842 |  0.000000E+00 |             f\n",
-      "   168 |     1770 |      2 |  0.000000E+00 |  0.0036233585 |  0.000000E+00 |             f\n",
-      "   169 |     1780 |      2 |  0.000000E+00 |  0.0034928859 |  0.000000E+00 |             f\n",
-      "   170 |     1790 |      2 |  0.000000E+00 |  0.0033585556 |  0.000000E+00 |             f\n",
-      "   171 |     1800 |      2 |  0.000000E+00 |  0.0031021906 |  0.000000E+00 |             f\n",
-      "   172 |     1810 |      2 |  0.000000E+00 |  0.0028425778 |  0.000000E+00 |             f\n",
-      "   173 |     1820 |      2 |  0.000000E+00 |  0.0026502881 |  0.000000E+00 |             f\n",
-      "   174 |     1830 |      2 |  0.000000E+00 |  0.0026502881 |  0.000000E+00 |             f\n",
-      "   175 |     1840 |      2 |  0.000000E+00 |  0.0025624658 |  0.000000E+00 |             f\n",
-      "   176 |     1850 |      2 |  0.000000E+00 |  0.0024237809 |  0.000000E+00 |             f\n",
-      "   177 |     1860 |      2 |  0.000000E+00 |  0.0023084811 |  0.000000E+00 |             f\n",
-      "   178 |     1870 |      2 |  0.000000E+00 |  0.0021582134 |  0.000000E+00 |             f\n",
-      "   179 |     1880 |      2 |  0.000000E+00 |  0.0020227285 |  0.000000E+00 |             f\n",
-      "   180 |     1890 |      2 |  0.000000E+00 |  0.0018885945 |  0.000000E+00 |             f\n",
-      "   181 |     1900 |      2 |  0.000000E+00 |  0.0017072037 |  0.000000E+00 |             f\n",
-      "   182 |     1910 |      2 |  0.000000E+00 |  0.0015818007 |  0.000000E+00 |             f\n",
-      "   183 |     1920 |      2 |  0.000000E+00 |  0.0014283921 |  0.000000E+00 |             f\n",
-      "   184 |     1930 |      2 |  0.000000E+00 |  0.0012274702 |  0.000000E+00 |             f\n",
-      "   185 |     1940 |      2 |  0.000000E+00 |  0.0011326034 |  0.000000E+00 |             f\n",
-      "   186 |     1950 |      2 |  0.000000E+00 |  0.0010175736 |  0.000000E+00 |             f\n",
-      "   187 |     1960 |      2 |  0.000000E+00 |  0.0009412353 |  0.000000E+00 |             f\n",
-      "   188 |     1970 |      2 |  0.000000E+00 |  0.0009067048 |  0.000000E+00 |             f\n",
-      "   189 |     1980 |      2 |  0.000000E+00 |  0.0008683362 |  0.000000E+00 |             f\n",
-      "   190 |     1990 |      2 |  0.000000E+00 |  0.0008055381 |  0.000000E+00 |             f\n",
-      "   191 |     2000 |      2 |  0.000000E+00 |  0.0007693505 |  0.000000E+00 |             f\n",
-      "   192 |     2010 |      2 |  0.000000E+00 |  0.0007275996 |  0.000000E+00 |             f\n",
-      "   193 |     2020 |      2 |  0.000000E+00 |  0.0006899963 |  0.000000E+00 |             f\n",
-      "   194 |     2030 |      2 |  0.000000E+00 |  0.0006373326 |  0.000000E+00 |             f\n",
-      "   195 |     2040 |      2 |  0.000000E+00 |  0.0005944292 |  0.000000E+00 |             f\n",
-      "   196 |     2050 |      2 |  0.000000E+00 |  0.0005258753 |  0.000000E+00 |             f\n",
-      "   197 |     2060 |      2 |  0.000000E+00 |  0.0004777013 |  0.000000E+00 |             f\n",
-      "   198 |     2070 |      2 |  0.000000E+00 |  0.0004620927 |  0.000000E+00 |             f\n",
-      "   199 |     2080 |      3 |  0.000000E+00 |  0.0004424226 |  0.3376261545 |         ideal\n",
-      "   200 |     2090 |      3 |  0.000000E+00 |  0.0003923591 |  0.000000E+00 |             f\n",
-      "   201 |     2100 |      3 |  0.000000E+00 |  0.0003821581 |  0.000000E+00 |             f\n",
-      "   202 |     2110 |      3 |  0.000000E+00 |  0.0003719724 |  0.000000E+00 |             f\n",
-      "   203 |     2120 |      3 |  0.000000E+00 |  0.0003658355 |  0.000000E+00 |             f\n",
-      "   204 |     2130 |      3 |  0.000000E+00 |  0.0003402408 |  0.000000E+00 |             f\n",
-      "   205 |     2140 |      3 |  0.000000E+00 |  0.0003114269 |  0.0413709921 |         ideal\n",
-      "   206 |     2150 |      3 |  0.000000E+00 |  0.0003006097 |  0.000000E+00 |             f\n",
-      "   207 |     2160 |      4 |  0.000000E+00 |  0.0002949773 |  0.3992106146 |         ideal\n",
-      "   208 |     2170 |      4 |  0.000000E+00 |  0.0002741810 |  0.000000E+00 |             f\n",
-      "   209 |     2180 |      4 |  0.000000E+00 |  0.0002493867 |  0.000000E+00 |             f\n",
-      "   210 |     2190 |      4 |  0.000000E+00 |  0.0002234251 |  0.000000E+00 |             f\n",
-      "   211 |     2200 |      5 |  0.000000E+00 |  0.0002072546 |  0.0597455150 |         ideal\n",
-      "   212 |     2210 |      6 |  0.000000E+00 |  0.0001978309 |  0.2665718851 |         ideal\n",
-      "   213 |     2220 |      6 |  0.000000E+00 |  0.0001896777 |  0.000000E+00 |             f\n",
-      "   214 |     2230 |      6 |  0.000000E+00 |  0.0001865105 |  0.000000E+00 |             f\n",
-      "   215 |     2240 |      5 |  0.000000E+00 |  0.0001714730 |  0.2414179125 |         ideal\n",
-      "   216 |     2250 |      5 |  0.000000E+00 |  0.0001676637 |  0.000000E+00 |             f\n",
-      "   217 |     2260 |      6 |  0.000000E+00 |  0.0001603440 |  0.0193306041 |             f\n",
-      "   218 |     2270 |      6 |  0.000000E+00 |  0.0001536667 |  0.0217001399 |             f\n",
-      "   219 |     2280 |      6 |  0.000000E+00 |  0.0001511613 |  0.000000E+00 |             f\n",
-      "   220 |     2290 |      6 |  0.000000E+00 |  0.0001505442 |  0.000000E+00 |             f\n",
-      "   221 |     2300 |      7 |  0.000000E+00 |  0.0001448051 |  0.0150087581 |         ideal\n",
-      "   222 |     2310 |      7 |  0.000000E+00 |  0.0001398279 |  0.000000E+00 |             f\n",
-      "   223 |     2320 |      8 |  0.000000E+00 |  0.0001354750 |  0.0274060408 |             f\n",
-      "   224 |     2330 |      9 |  0.000000E+00 |  0.0001288972 |  0.0012332089 |             f\n",
-      "   225 |     2340 |      9 |  0.000000E+00 |  0.0001237124 |  0.0012332089 |             f\n",
-      "   226 |     2350 |      7 |  0.000000E+00 |  0.0001218280 |  0.1227050839 |         ideal\n",
-      "   227 |     2360 |      7 |  0.000000E+00 |  0.0001191915 |  0.000000E+00 |             f\n",
-      "   228 |     2370 |      7 |  0.000000E+00 |  0.0001132317 |  0.000000E+00 |             f\n",
-      "   229 |     2380 |      7 |  0.000000E+00 |  0.0001071951 |  0.000000E+00 |             f\n",
-      "   230 |     2390 |      9 |  0.000000E+00 |  0.0000987541 |  0.0193654833 |             f\n",
-      "   231 |     2400 |     12 |  0.000000E+00 |  0.0000881979 |  0.0188942635 |             f\n",
-      "   232 |     2410 |     12 |  0.000000E+00 |  0.0000836300 |  0.000000E+00 |             f\n",
-      "   233 |     2420 |     13 |  0.000000E+00 |  0.0000781412 |  0.0006357347 |             f\n",
-      "   234 |     2430 |     12 |  0.000000E+00 |  0.0000733443 |  0.0068252309 |             f\n",
-      "   235 |     2440 |     12 |  0.000000E+00 |  0.0000662141 |  0.0139080709 |             f\n",
-      "   236 |     2450 |     12 |  0.000000E+00 |  0.0000606984 |  0.000000E+00 |             f\n",
-      "   237 |     2460 |     12 |  0.000000E+00 |  0.0000528038 |  0.000000E+00 |             f\n",
-      "   238 |     2470 |     14 |  0.000000E+00 |  0.0000401373 |  0.0174734584 |             f\n",
-      "   239 |     2480 |     14 |  0.000000E+00 |  0.0000377432 |  0.000000E+00 |             f\n",
-      "   240 |     2490 |     15 |  0.000000E+00 |  0.0000334795 |  0.0004157806 |             f\n",
-      "   241 |     2500 |     16 |  0.000000E+00 |  0.0000228955 |  0.2794615284 |         ideal\n",
-      "   242 |     2510 |     20 |  0.000000E+00 |  0.0000140330 |  0.0055047187 |             f\n",
-      "   243 |     2520 |     20 |  0.000000E+00 |  9.225997E-06 |  0.000000E+00 |             f\n",
-      "   244 |     2530 |     20 |  0.000000E+00 |  5.782055E-06 |  0.000000E+00 |             f\n",
-      "   245 |     2540 |     20 |  0.000000E+00 |  3.904363E-06 |  0.000000E+00 |             f\n",
-      "   246 |     2550 |     20 |  0.000000E+00 |  1.680506E-06 |  0.000000E+00 |             f\n",
-      "   247 |     2560 |     21 |  0.000000E+00 |  6.037022E-07 |  0.0008528702 |             f\n",
-      "   248 |     2570 |     21 |  0.000000E+00 |  0.000000E+00 |  0.0008528702 |             f\n",
-      "   249 |     2580 |     22 |  0.000000E+00 |  0.000000E+00 |  0.0023449800 |             f\n",
-      "   250 |     2590 |     23 |  0.000000E+00 |  0.000000E+00 |  0.0547467988 |         ideal\n",
-      "   251 |     2600 |     24 |  0.000000E+00 |  0.000000E+00 |  0.0003134055 |             f\n",
-      "   252 |     2610 |     26 |  0.000000E+00 |  0.000000E+00 |  0.0069641431 |             f\n",
-      "   253 |     2620 |     26 |  0.000000E+00 |  0.000000E+00 |  0.0000480296 |             f\n",
-      "   254 |     2630 |     27 |  0.000000E+00 |  0.000000E+00 |  0.0046307937 |             f\n",
-      "   255 |     2640 |     28 |  0.000000E+00 |  0.000000E+00 |  0.0896467148 |         ideal\n",
-      "   256 |     2650 |     31 |  0.000000E+00 |  0.000000E+00 |  0.0001766869 |             f\n",
-      "   257 |     2660 |     31 |  0.000000E+00 |  0.000000E+00 |  0.0010831535 |             f\n",
-      "   258 |     2670 |     29 |  0.000000E+00 |  0.000000E+00 |  0.0021164638 |             f\n",
-      "   259 |     2680 |     28 |  0.000000E+00 |  0.000000E+00 |  0.0027439882 |             f\n",
-      "   260 |     2690 |     24 |  0.000000E+00 |  0.000000E+00 |  0.0048923329 |             f\n",
-      "   261 |     2700 |     23 |  0.000000E+00 |  0.000000E+00 |  0.0041085577 |             f\n",
-      "   262 |     2710 |     24 |  0.000000E+00 |  0.000000E+00 |  0.0449390941 |         ideal\n",
-      "   263 |     2720 |     24 |  0.000000E+00 |  0.000000E+00 |  0.000000E+00 |             f\n",
-      "   264 |     2730 |     23 |  0.000000E+00 |  0.000000E+00 |  0.0009423846 |             f\n",
-      "   265 |     2740 |     24 |  0.000000E+00 |  0.000000E+00 |  0.0025255289 |             f\n",
-      "   266 |     2750 |     25 |  0.000000E+00 |  0.000000E+00 |  0.0013165058 |             f\n",
-      "   267 |     2760 |     24 |  0.000000E+00 |  0.000000E+00 |  0.0037323633 |             f\n",
-      "   268 |     2770 |     24 |  0.000000E+00 |  0.000000E+00 |  0.000000E+00 |             f\n",
-      "   269 |     2780 |     25 |  0.000000E+00 |  0.000000E+00 |  0.0000187533 |             f\n",
-      "   270 |     2790 |     26 |  0.000000E+00 |  0.000000E+00 |  0.0024225001 |             f\n",
-      "   271 |     2800 |     28 |  0.000000E+00 |  0.000000E+00 |  0.0048183443 |             f\n",
-      "   272 |     2810 |     26 |  0.000000E+00 |  0.000000E+00 |  0.0064989018 |             f\n",
-      "   273 |     2820 |     26 |  0.000000E+00 |  0.000000E+00 |  0.000000E+00 |             f\n",
-      "   274 |     2830 |     30 |  0.000000E+00 |  0.000000E+00 |  0.0029125100 |             f\n",
-      "   275 |     2840 |     32 |  0.000000E+00 |  0.000000E+00 |  0.0106662324 |         ideal\n",
-      "   276 |     2850 |     32 |  0.000000E+00 |  0.000000E+00 |  0.000000E+00 |             f\n",
-      "   277 |     2860 |     29 |  0.000000E+00 |  0.000000E+00 |  0.0030932595 |         ideal\n",
-      "   278 |     2870 |     29 |  0.000000E+00 |  0.000000E+00 |  0.000000E+00 |             f\n",
-      "   279 |     2880 |     30 |  0.000000E+00 |  0.000000E+00 |  0.0007600620 |             f\n",
-      "   280 |     2890 |     32 |  0.000000E+00 |  0.000000E+00 |  0.0029837878 |             f\n",
-      "   281 |     2900 |     32 |  0.000000E+00 |  0.000000E+00 |  0.0002419134 |             f\n",
-      "   282 |     2910 |     29 |  0.000000E+00 |  0.000000E+00 |  0.0058640147 |             f\n",
-      "   283 |     2920 |     31 |  0.000000E+00 |  0.000000E+00 |  0.0019237152 |             f\n",
-      "   284 |     2930 |     32 |  0.000000E+00 |  0.000000E+00 |  0.0019789064 |             f\n",
-      "   285 |     2940 |     32 |  0.000000E+00 |  0.000000E+00 |  0.0579949862 |         ideal\n",
-      "   286 |     2950 |     32 |  0.000000E+00 |  0.000000E+00 |  0.0033837157 |             f\n",
-      "   287 |     2960 |     33 |  0.000000E+00 |  0.000000E+00 |  0.0038299859 |             f\n",
-      "   288 |     2970 |     33 |  0.000000E+00 |  0.000000E+00 |  0.0004656092 |             f\n",
-      "   289 |     2980 |     29 |  0.000000E+00 |  0.000000E+00 |  0.0065852075 |         ideal\n",
-      "   290 |     2990 |     30 |  0.000000E+00 |  0.000000E+00 |  0.0018341629 |             f\n",
-      "   291 |     3000 |     31 |  0.000000E+00 |  0.000000E+00 |  0.0036123231 |             f\n",
-      "   292 |     3010 |     32 |  0.000000E+00 |  0.000000E+00 |  0.0006801607 |             f\n",
-      "   293 |     3020 |     34 |  0.000000E+00 |  0.000000E+00 |  0.0044536669 |             f\n",
-      "   294 |     3030 |     35 |  0.000000E+00 |  0.000000E+00 |  0.0677054876 |         ideal\n",
-      "   295 |     3040 |     33 |  0.000000E+00 |  0.000000E+00 |  0.0015263316 |             f\n",
-      "   296 |     3050 |     35 |  0.000000E+00 |  0.000000E+00 |  0.0123502312 |         ideal\n",
-      "   297 |     3060 |     34 |  0.000000E+00 |  0.000000E+00 |  0.0007801730 |             f\n",
-      "   298 |     3070 |     30 |  0.000000E+00 |  0.000000E+00 |  0.0033398630 |             f\n",
-      "   299 |     3080 |     31 |  0.000000E+00 |  0.000000E+00 |  0.0010293458 |             f\n",
-      "   300 |     3090 |     32 |  0.000000E+00 |  0.000000E+00 |  0.0059087734 |             f\n",
-      "   301 |     3100 |     32 |  0.000000E+00 |  0.000000E+00 |  0.0882197177 |         ideal\n",
-      "   302 |     3110 |     28 |  0.000000E+00 |  0.000000E+00 |  0.0016620634 |             f\n",
-      "   303 |     3120 |     27 |  0.000000E+00 |  0.000000E+00 |  0.0047487823 |             f\n",
-      "   304 |     3130 |     29 |  0.000000E+00 |  0.000000E+00 |  2.810273E-06 |             f\n",
-      "   305 |     3140 |     29 |  0.000000E+00 |  0.000000E+00 |  0.0045129383 |             f\n",
-      "   306 |     3150 |     29 |  0.000000E+00 |  0.000000E+00 |  0.0037166106 |             f\n",
-      "   307 |     3160 |     27 |  0.000000E+00 |  0.000000E+00 |  0.0013812275 |             f\n",
-      "   308 |     3170 |     27 |  0.000000E+00 |  0.000000E+00 |  0.0045455024 |             f\n",
-      "   309 |     3180 |     27 |  0.000000E+00 |  0.000000E+00 |  0.0083738093 |         ideal\n",
-      "   310 |     3190 |     26 |  0.000000E+00 |  0.000000E+00 |  0.0007229219 |             f\n",
-      "   311 |     3200 |     26 |  0.000000E+00 |  0.000000E+00 |  0.0017280988 |             f\n",
-      "   312 |     3210 |     30 |  0.000000E+00 |  0.000000E+00 |  0.0068280179 |             f\n",
-      "   313 |     3220 |     30 |  0.000000E+00 |  0.000000E+00 |  0.000000E+00 |             f\n",
-      "   314 |     3230 |     30 |  0.000000E+00 |  0.000000E+00 |  0.0014749383 |             f\n",
-      "   315 |     3240 |     29 |  0.000000E+00 |  0.000000E+00 |  0.0076369947 |             f\n",
-      "   316 |     3250 |     30 |  0.000000E+00 |  0.000000E+00 |  0.0016632433 |             f\n",
-      "   317 |     3260 |     29 |  0.000000E+00 |  0.000000E+00 |  0.0645984989 |         ideal\n",
-      "   318 |     3270 |     32 |  0.000000E+00 |  0.000000E+00 |  0.0022326397 |             f\n",
-      "   319 |     3280 |     32 |  0.000000E+00 |  0.000000E+00 |  0.0052635755 |             f\n",
-      "   320 |     3290 |     34 |  0.000000E+00 |  0.000000E+00 |  0.0007119564 |             f\n",
-      "   321 |     3300 |     34 |  0.000000E+00 |  0.000000E+00 |  0.0064190378 |             f\n",
-      "   322 |     3310 |     35 |  0.000000E+00 |  0.000000E+00 |  0.0005280537 |             f\n",
-      "   323 |     3320 |     35 |  0.000000E+00 |  0.000000E+00 |  0.0005280537 |             f\n",
-      "   324 |     3330 |     33 |  0.000000E+00 |  0.000000E+00 |  0.0052642321 |             f\n",
-      "   325 |     3340 |     34 |  0.000000E+00 |  0.000000E+00 |  0.0005040090 |             f\n",
-      "   326 |     3350 |     35 |  0.000000E+00 |  0.000000E+00 |  0.0022284098 |             f\n",
-      "   327 |     3360 |     36 |  0.000000E+00 |  0.000000E+00 |  0.0218754158 |         ideal\n",
-      "   328 |     3370 |     38 |  0.000000E+00 |  0.000000E+00 |  0.0004581290 |             f\n",
-      "   329 |     3380 |     32 |  0.000000E+00 |  0.000000E+00 |  0.0039180922 |             f\n",
-      "   330 |     3390 |     33 |  0.000000E+00 |  0.000000E+00 |  0.0000225508 |             f\n",
-      "   331 |     3400 |     30 |  0.000000E+00 |  0.000000E+00 |  0.0061825647 |             f\n",
-      "   332 |     3410 |     30 |  0.000000E+00 |  0.000000E+00 |  0.0043249903 |             f\n",
-      "   333 |     3420 |     28 |  0.000000E+00 |  0.000000E+00 |  0.0004155674 |             f\n",
-      "   334 |     3430 |     31 |  0.000000E+00 |  0.000000E+00 |  0.0018910129 |             f\n",
-      "   335 |     3440 |     31 |  0.000000E+00 |  0.000000E+00 |  0.0025685972 |             f\n",
-      "   336 |     3450 |     32 |  0.000000E+00 |  0.000000E+00 |  0.0002596820 |             f\n",
-      "   337 |     3460 |     34 |  0.000000E+00 |  0.000000E+00 |  0.0662064285 |         ideal\n",
-      "   338 |     3470 |     36 |  0.000000E+00 |  0.000000E+00 |  0.0029205322 |             f\n",
-      "   339 |     3480 |     34 |  0.000000E+00 |  0.000000E+00 |  0.0031661682 |             f\n",
-      "   340 |     3490 |     34 |  0.000000E+00 |  0.000000E+00 |  0.000000E+00 |             f\n",
-      "   341 |     3500 |     33 |  0.000000E+00 |  0.000000E+00 |  0.0011198754 |             f\n",
-      "   342 |     3510 |     33 |  0.000000E+00 |  0.000000E+00 |  0.0776530999 |         ideal\n",
-      "   343 |     3520 |     33 |  0.000000E+00 |  0.000000E+00 |  0.0008906249 |             f\n",
-      "   344 |     3530 |     35 |  0.000000E+00 |  0.000000E+00 |  0.0025755408 |             f\n",
-      "   345 |     3540 |     40 |  0.000000E+00 |  0.000000E+00 |  0.0038414972 |             f\n",
-      "   346 |     3550 |     36 |  0.000000E+00 |  0.000000E+00 |  0.0024899666 |             f\n",
-      "   347 |     3560 |     35 |  0.000000E+00 |  0.000000E+00 |  0.0075902367 |             f\n",
-      "   348 |     3570 |     34 |  0.000000E+00 |  0.000000E+00 |  0.0007996376 |             f\n",
-      "   349 |     3580 |     34 |  0.000000E+00 |  0.000000E+00 |  0.0007996376 |             f\n",
-      "   350 |     3590 |     36 |  0.000000E+00 |  0.000000E+00 |  0.0020862461 |             f\n",
-      "   351 |     3600 |     36 |  0.000000E+00 |  0.000000E+00 |  0.0047056587 |             f\n",
-      "   352 |     3610 |     40 |  0.000000E+00 |  0.000000E+00 |  0.0020830278 |             f\n",
-      "   353 |     3620 |     40 |  0.000000E+00 |  0.000000E+00 |  0.0018598786 |             f\n",
-      "   354 |     3630 |     41 |  0.000000E+00 |  0.000000E+00 |  0.0749423764 |         ideal\n",
-      "   355 |     3640 |     44 |  0.000000E+00 |  0.000000E+00 |  0.0007386272 |             f\n",
-      "   356 |     3650 |     45 |  0.000000E+00 |  0.000000E+00 |  0.0028735319 |             f\n",
-      "   357 |     3660 |     45 |  0.000000E+00 |  0.000000E+00 |  0.000000E+00 |             f\n",
-      "   358 |     3670 |     39 |  0.000000E+00 |  0.000000E+00 |  0.0056059377 |         ideal\n",
-      "   359 |     3680 |     39 |  0.000000E+00 |  0.000000E+00 |  0.0008514974 |             f\n",
-      "   360 |     3690 |     39 |  0.000000E+00 |  0.000000E+00 |  0.0020517769 |             f\n",
-      "   361 |     3700 |     42 |  0.000000E+00 |  0.000000E+00 |  0.0031622448 |             f\n",
-      "   362 |     3710 |     45 |  0.000000E+00 |  0.000000E+00 |  0.0009624458 |             f\n",
-      "   363 |     3720 |     45 |  0.000000E+00 |  0.000000E+00 |  0.0009624458 |             f\n",
-      "   364 |     3730 |     45 |  0.000000E+00 |  0.000000E+00 |  0.0009624458 |             f\n",
-      "   365 |     3740 |     41 |  0.000000E+00 |  0.000000E+00 |  0.0013997732 |             f\n",
-      "   366 |     3750 |     42 |  0.000000E+00 |  0.000000E+00 |  0.0014349117 |             f\n",
-      "   367 |     3760 |     39 |  0.000000E+00 |  0.000000E+00 |  0.0056217196 |             f\n",
-      "   368 |     3770 |     42 |  0.000000E+00 |  0.000000E+00 |  0.0003321939 |             f\n",
-      "   369 |     3780 |     44 |  0.000000E+00 |  0.000000E+00 |  0.0021334403 |             f\n",
-      "   370 |     3790 |     41 |  0.000000E+00 |  0.000000E+00 |  0.0042936996 |             f\n",
-      "   371 |     3800 |     42 |  0.000000E+00 |  0.000000E+00 |  0.0001061786 |             f\n",
-      "   372 |     3810 |     43 |  0.000000E+00 |  0.000000E+00 |  0.0015409054 |             f\n",
-      "   373 |     3820 |     43 |  0.000000E+00 |  0.000000E+00 |  0.0027710331 |         nadir\n",
-      "   374 |     3830 |     39 |  0.000000E+00 |  0.000000E+00 |  0.0018643014 |             f\n",
-      "   375 |     3840 |     40 |  0.000000E+00 |  0.000000E+00 |  0.0035358068 |             f\n",
-      "   376 |     3850 |     41 |  0.000000E+00 |  0.000000E+00 |  0.0001841440 |             f\n",
-      "   377 |     3860 |     40 |  0.000000E+00 |  0.000000E+00 |  0.0593853600 |         nadir\n",
-      "   378 |     3870 |     41 |  0.000000E+00 |  0.000000E+00 |  0.0008719082 |             f\n",
-      "   379 |     3880 |     40 |  0.000000E+00 |  0.000000E+00 |  0.0052319461 |             f\n",
-      "   380 |     3890 |     40 |  0.000000E+00 |  0.000000E+00 |  0.0041918203 |         nadir\n",
-      "   381 |     3900 |     42 |  0.000000E+00 |  0.000000E+00 |  0.0005391494 |             f\n",
-      "   382 |     3910 |     45 |  0.000000E+00 |  0.000000E+00 |  0.0016036017 |             f\n",
-      "   383 |     3920 |     49 |  0.000000E+00 |  0.000000E+00 |  0.0021444554 |             f\n",
-      "   384 |     3930 |     50 |  0.000000E+00 |  0.000000E+00 |  0.0025185802 |             f\n",
-      "   385 |     3940 |     50 |  0.000000E+00 |  0.000000E+00 |  0.000000E+00 |             f\n",
-      "   386 |     3950 |     49 |  0.000000E+00 |  0.000000E+00 |  0.0036306000 |             f\n",
-      "   387 |     3960 |     52 |  0.000000E+00 |  0.000000E+00 |  0.0004492072 |             f\n",
-      "   388 |     3970 |     50 |  0.000000E+00 |  0.000000E+00 |  0.0008008401 |             f\n",
-      "   389 |     3980 |     49 |  0.000000E+00 |  0.000000E+00 |  0.1246795460 |         nadir\n",
-      "   390 |     3990 |     45 |  0.000000E+00 |  0.000000E+00 |  0.0012119733 |             f\n",
-      "   391 |     4000 |     47 |  0.000000E+00 |  0.000000E+00 |  0.0017433857 |             f\n",
-      "   392 |     4010 |     48 |  0.000000E+00 |  0.000000E+00 |  0.0028490681 |             f\n",
-      "   393 |     4020 |     48 |  0.000000E+00 |  0.000000E+00 |  0.0018473233 |             f\n",
-      "   394 |     4030 |     43 |  0.000000E+00 |  0.000000E+00 |  0.0035160867 |             f\n",
-      "   395 |     4040 |     44 |  0.000000E+00 |  0.000000E+00 |  0.0001814693 |             f\n",
-      "   396 |     4050 |     46 |  0.000000E+00 |  0.000000E+00 |  0.0006368623 |             f\n",
-      "   397 |     4060 |     48 |  0.000000E+00 |  0.000000E+00 |  0.0008284116 |             f\n",
-      "   398 |     4070 |     49 |  0.000000E+00 |  0.000000E+00 |  0.0008372872 |             f\n",
-      "   399 |     4080 |     47 |  0.000000E+00 |  0.000000E+00 |  0.0668845466 |         ideal\n",
-      "   400 |     4090 |     42 |  0.000000E+00 |  0.000000E+00 |  0.0010995784 |             f\n",
-      "   401 |     4100 |     45 |  0.000000E+00 |  0.000000E+00 |  0.0026273220 |             f\n",
-      "   402 |     4110 |     44 |  0.000000E+00 |  0.000000E+00 |  0.0014969442 |             f\n",
-      "   403 |     4120 |     46 |  0.000000E+00 |  0.000000E+00 |  0.0014565988 |             f\n",
-      "   404 |     4130 |     41 |  0.000000E+00 |  0.000000E+00 |  0.0043530538 |             f\n",
-      "   405 |     4140 |     44 |  0.000000E+00 |  0.000000E+00 |  0.0010803341 |             f\n",
-      "   406 |     4150 |     37 |  0.000000E+00 |  0.000000E+00 |  0.0056454142 |             f\n",
-      "   407 |     4160 |     32 |  0.000000E+00 |  0.000000E+00 |  0.0016875319 |             f\n",
-      "   408 |     4170 |     35 |  0.000000E+00 |  0.000000E+00 |  0.0017908871 |             f\n",
-      "   409 |     4180 |     34 |  0.000000E+00 |  0.000000E+00 |  0.0069061585 |             f\n",
-      "   410 |     4190 |     33 |  0.000000E+00 |  0.000000E+00 |  0.0014447112 |             f\n",
-      "   411 |     4200 |     33 |  0.000000E+00 |  0.000000E+00 |  0.0055547643 |             f\n",
-      "   412 |     4210 |     34 |  0.000000E+00 |  0.000000E+00 |  0.0004593447 |             f\n",
-      "   413 |     4220 |     36 |  0.000000E+00 |  0.000000E+00 |  0.0007371018 |             f\n",
-      "   414 |     4230 |     36 |  0.000000E+00 |  0.000000E+00 |  0.0007371018 |             f\n",
-      "   415 |     4240 |     37 |  0.000000E+00 |  0.000000E+00 |  0.0010413635 |             f\n",
-      "   416 |     4250 |     41 |  0.000000E+00 |  0.000000E+00 |  0.0049052385 |         ideal\n",
-      "   417 |     4260 |     45 |  0.000000E+00 |  0.000000E+00 |  0.0009661566 |             f\n",
-      "   418 |     4270 |     45 |  0.000000E+00 |  0.000000E+00 |  0.0009661566 |             f\n",
-      "   419 |     4280 |     47 |  0.000000E+00 |  0.000000E+00 |  0.0013031451 |             f\n",
-      "   420 |     4290 |     51 |  0.000000E+00 |  0.000000E+00 |  0.0022653040 |             f\n",
-      "   421 |     4300 |     47 |  0.000000E+00 |  0.000000E+00 |  0.0034243544 |             f\n",
-      "   422 |     4310 |     46 |  0.000000E+00 |  0.000000E+00 |  0.0023286318 |             f\n",
-      "   423 |     4320 |     46 |  0.000000E+00 |  0.000000E+00 |  0.0052621468 |             f\n",
-      "   424 |     4330 |     46 |  0.000000E+00 |  0.000000E+00 |  0.0003588277 |             f\n",
-      "   425 |     4340 |     48 |  0.000000E+00 |  0.000000E+00 |  0.0018972526 |             f\n",
-      "   426 |     4350 |     49 |  0.000000E+00 |  0.000000E+00 |  0.0028934750 |             f\n",
-      "   427 |     4360 |     42 |  0.000000E+00 |  0.000000E+00 |  0.0904198353 |         ideal\n",
-      "   428 |     4370 |     44 |  0.000000E+00 |  0.000000E+00 |  0.0029472989 |             f\n",
-      "   429 |     4380 |     41 |  0.000000E+00 |  0.000000E+00 |  0.0033225427 |             f\n",
-      "   430 |     4390 |     38 |  0.000000E+00 |  0.000000E+00 |  0.0021545543 |             f\n",
-      "   431 |     4400 |     40 |  0.000000E+00 |  0.000000E+00 |  0.0033066187 |             f\n",
-      "   432 |     4410 |     41 |  0.000000E+00 |  0.000000E+00 |  0.0008038542 |             f\n",
-      "   433 |     4420 |     42 |  0.000000E+00 |  0.000000E+00 |  0.0008099104 |             f\n",
-      "   434 |     4430 |     43 |  0.000000E+00 |  0.000000E+00 |  0.0030080212 |             f\n",
-      "   435 |     4440 |     46 |  0.000000E+00 |  0.000000E+00 |  0.0018389736 |             f\n",
-      "   436 |     4450 |     44 |  0.000000E+00 |  0.000000E+00 |  0.0056123270 |             f\n",
-      "   437 |     4460 |     44 |  0.000000E+00 |  0.000000E+00 |  0.0060907719 |         ideal\n",
-      "   438 |     4470 |     46 |  0.000000E+00 |  0.000000E+00 |  0.0013021077 |             f\n",
-      "   439 |     4480 |     48 |  0.000000E+00 |  0.000000E+00 |  0.0019213352 |             f\n",
-      "   440 |     4490 |     51 |  0.000000E+00 |  0.000000E+00 |  0.0022617663 |             f\n",
-      "   441 |     4500 |     54 |  0.000000E+00 |  0.000000E+00 |  0.0044478643 |             f\n",
-      "   442 |     4510 |     54 |  0.000000E+00 |  0.000000E+00 |  0.0013126678 |             f\n",
-      "   443 |     4520 |     53 |  0.000000E+00 |  0.000000E+00 |  0.0106017867 |         ideal\n",
-      "   444 |     4530 |     55 |  0.000000E+00 |  0.000000E+00 |  0.0014544200 |             f\n",
-      "   445 |     4540 |     57 |  0.000000E+00 |  0.000000E+00 |  0.0023400756 |             f\n",
-      "   446 |     4550 |     59 |  0.000000E+00 |  0.000000E+00 |  0.0024168848 |             f\n",
-      "   447 |     4560 |     62 |  0.000000E+00 |  0.000000E+00 |  0.0089893470 |         ideal\n",
-      "   448 |     4570 |     63 |  0.000000E+00 |  0.000000E+00 |  0.0003319076 |             f\n",
-      "   449 |     4580 |     62 |  0.000000E+00 |  0.000000E+00 |  0.0010166794 |             f\n",
-      "   450 |     4590 |     65 |  0.000000E+00 |  0.000000E+00 |  0.0147050905 |         ideal\n",
-      "   451 |     4600 |     68 |  0.000000E+00 |  0.000000E+00 |  0.0007191651 |             f\n",
-      "   452 |     4610 |     67 |  0.000000E+00 |  0.000000E+00 |  0.0020506338 |             f\n",
-      "   453 |     4620 |     67 |  0.000000E+00 |  0.000000E+00 |  0.0023032215 |             f\n",
-      "   454 |     4630 |     68 |  0.000000E+00 |  0.000000E+00 |  0.0026520338 |             f\n",
-      "   455 |     4640 |     69 |  0.000000E+00 |  0.000000E+00 |  0.0002884594 |             f\n",
-      "   456 |     4650 |     68 |  0.000000E+00 |  0.000000E+00 |  0.0007542127 |             f\n",
-      "   457 |     4660 |     71 |  0.000000E+00 |  0.000000E+00 |  0.0018335323 |             f\n",
-      "   458 |     4670 |     71 |  0.000000E+00 |  0.000000E+00 |  0.0129502105 |         ideal\n",
-      "   459 |     4680 |     76 |  0.000000E+00 |  0.000000E+00 |  0.0003360902 |             f\n",
-      "   460 |     4690 |     77 |  0.000000E+00 |  0.000000E+00 |  0.0010347888 |             f\n",
-      "   461 |     4700 |     80 |  0.000000E+00 |  0.000000E+00 |  0.0013842693 |             f\n",
-      "   462 |     4710 |     80 |  0.000000E+00 |  0.000000E+00 |  0.0021027086 |             f\n",
-      "   463 |     4720 |     84 |  0.000000E+00 |  0.000000E+00 |  0.0022590958 |             f\n",
-      "   464 |     4730 |     85 |  0.000000E+00 |  0.000000E+00 |  0.0023466480 |             f\n",
-      "   465 |     4740 |     76 |  0.000000E+00 |  0.000000E+00 |  0.0028485974 |             f\n",
-      "   466 |     4750 |     80 |  0.000000E+00 |  0.000000E+00 |  0.0002959467 |             f\n",
-      "   467 |     4760 |     76 |  0.000000E+00 |  0.000000E+00 |  0.0007678467 |             f\n",
-      "   468 |     4770 |     67 |  0.000000E+00 |  0.000000E+00 |  0.0021019950 |             f\n",
-      "   469 |     4780 |     69 |  0.000000E+00 |  0.000000E+00 |  0.0021074765 |             f\n",
-      "   470 |     4790 |     62 |  0.000000E+00 |  0.000000E+00 |  0.0031811681 |             f\n",
-      "   471 |     4800 |     61 |  0.000000E+00 |  0.000000E+00 |  0.0005980281 |             f\n",
-      "   472 |     4810 |     59 |  0.000000E+00 |  0.000000E+00 |  0.0010801403 |             f\n",
-      "   473 |     4820 |     59 |  0.000000E+00 |  0.000000E+00 |  0.0023534878 |             f\n",
-      "   474 |     4830 |     61 |  0.000000E+00 |  0.000000E+00 |  0.0041670407 |             f\n",
-      "   475 |     4840 |     59 |  0.000000E+00 |  0.000000E+00 |  0.0023012413 |             f\n",
-      "   476 |     4850 |     62 |  0.000000E+00 |  0.000000E+00 |  0.0035115354 |             f\n",
-      "   477 |     4860 |     63 |  0.000000E+00 |  0.000000E+00 |  3.386739E-06 |             f\n",
-      "   478 |     4870 |     63 |  0.000000E+00 |  0.000000E+00 |  0.0002870650 |             f\n",
-      "   479 |     4880 |     66 |  0.000000E+00 |  0.000000E+00 |  0.0008079509 |             f\n",
-      "   480 |     4890 |     69 |  0.000000E+00 |  0.000000E+00 |  0.0016283820 |             f\n",
-      "   481 |     4900 |     72 |  0.000000E+00 |  0.000000E+00 |  0.0018919797 |             f\n",
-      "   482 |     4910 |     71 |  0.000000E+00 |  0.000000E+00 |  0.0025381819 |             f\n",
-      "   483 |     4920 |     71 |  0.000000E+00 |  0.000000E+00 |  0.0003777081 |             f\n",
-      "   484 |     4930 |     72 |  0.000000E+00 |  0.000000E+00 |  0.0007309079 |             f\n",
-      "   485 |     4940 |     69 |  0.000000E+00 |  0.000000E+00 |  0.0013048010 |             f\n",
-      "   486 |     4950 |     70 |  0.000000E+00 |  0.000000E+00 |  0.0022632425 |             f\n",
-      "   487 |     4960 |     70 |  0.000000E+00 |  0.000000E+00 |  0.0036449798 |             f\n",
-      "   488 |     4970 |     73 |  0.000000E+00 |  0.000000E+00 |  0.0204626094 |         ideal\n",
-      "   489 |     4980 |     73 |  0.000000E+00 |  0.000000E+00 |  0.0004601057 |             f\n",
-      "   490 |     4990 |     76 |  0.000000E+00 |  0.000000E+00 |  0.0078163974 |         ideal\n",
-      "   491 |     5000 |     78 |  0.000000E+00 |  0.000000E+00 |  0.0000119378 |             f\n",
-      "   492 |     5010 |     80 |  0.000000E+00 |  0.000000E+00 |  0.0004542892 |             f\n",
-      "   493 |     5020 |     86 |  0.000000E+00 |  0.000000E+00 |  0.0027815367 |         ideal\n",
-      "   494 |     5030 |     89 |  0.000000E+00 |  0.000000E+00 |  0.0003692994 |             f\n",
-      "   495 |     5040 |     89 |  0.000000E+00 |  0.000000E+00 |  0.0014727913 |             f\n",
-      "   496 |     5050 |     89 |  0.000000E+00 |  0.000000E+00 |  0.0016194916 |             f\n",
-      "   497 |     5060 |     92 |  0.000000E+00 |  0.000000E+00 |  0.0021124518 |             f\n",
-      "   498 |     5070 |     93 |  0.000000E+00 |  0.000000E+00 |  0.0023858473 |             f\n",
-      "   499 |     5080 |     94 |  0.000000E+00 |  0.000000E+00 |  0.0025617205 |             f\n",
-      "   500 |     5090 |     88 |  0.000000E+00 |  0.000000E+00 |  0.0002514861 |             f\n",
-      "   501 |     5100 |     87 |  0.000000E+00 |  0.000000E+00 |  0.0003683982 |             f\n",
-      "   502 |     5110 |     86 |  0.000000E+00 |  0.000000E+00 |  0.0006304938 |             f\n",
-      "   503 |     5120 |     90 |  0.000000E+00 |  0.000000E+00 |  0.0091274666 |         ideal\n",
-      "   504 |     5130 |     88 |  0.000000E+00 |  0.000000E+00 |  0.0002830187 |             f\n",
-      "   505 |     5140 |     89 |  0.000000E+00 |  0.000000E+00 |  0.0004550402 |             f\n",
-      "   506 |     5150 |     91 |  0.000000E+00 |  0.000000E+00 |  0.0007291490 |             f\n",
-      "   507 |     5160 |     92 |  0.000000E+00 |  0.000000E+00 |  0.0009072427 |             f\n",
-      "   508 |     5170 |     95 |  0.000000E+00 |  0.000000E+00 |  0.0012068748 |             f\n",
-      "   509 |     5180 |     98 |  0.000000E+00 |  0.000000E+00 |  0.0014879150 |             f\n",
-      "   510 |     5190 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0015806613 |             f\n",
-      "   511 |     5200 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0015998821 |             f\n",
-      "   512 |     5210 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0019913225 |             f\n",
-      "   513 |     5220 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0021884344 |             f\n",
-      "   514 |     5230 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0023649971 |             f\n",
-      "   515 |     5240 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0026350656 |             f\n",
-      "   516 |     5250 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0001386089 |             f\n",
-      "   517 |     5260 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0003699990 |             f\n",
-      "   518 |     5270 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0004341748 |             f\n",
-      "   519 |     5280 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0009565210 |             f\n",
-      "   520 |     5290 |     99 |  0.000000E+00 |  0.000000E+00 |  0.0011237529 |             f\n",
-      "   521 |     5300 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0016154683 |             f\n",
-      "   522 |     5310 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0017935459 |             f\n",
-      "   523 |     5320 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0018000064 |             f\n",
-      "   524 |     5330 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0018909095 |             f\n",
-      "   525 |     5340 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0022894520 |             f\n",
-      "   526 |     5350 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0027121218 |             f\n",
-      "   527 |     5360 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0004718059 |             f\n",
-      "   528 |     5370 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0005505071 |             f\n",
-      "   529 |     5380 |     98 |  0.000000E+00 |  0.000000E+00 |  0.0008325859 |             f\n",
-      "   530 |     5390 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0010412121 |             f\n",
-      "   531 |     5400 |     99 |  0.000000E+00 |  0.000000E+00 |  0.0011787274 |             f\n",
-      "   532 |     5410 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0017092463 |             f\n",
-      "   533 |     5420 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0020179333 |             f\n",
-      "   534 |     5430 |     99 |  0.000000E+00 |  0.000000E+00 |  0.0025113878 |             f\n",
-      "   535 |     5440 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0002963971 |             f\n",
-      "   536 |     5450 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0006457452 |             f\n",
-      "   537 |     5460 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0008867376 |             f\n",
-      "   538 |     5470 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0009886889 |             f\n",
-      "   539 |     5480 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0013446757 |             f\n",
-      "   540 |     5490 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0014219171 |             f\n",
-      "   541 |     5500 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0014964139 |             f\n",
-      "   542 |     5510 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0015851631 |             f\n",
-      "   543 |     5520 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0017584873 |             f\n",
-      "   544 |     5530 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0019018617 |             f\n",
-      "   545 |     5540 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0019387482 |             f\n",
-      "   546 |     5550 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0022878647 |             f\n",
-      "   547 |     5560 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0024762732 |             f\n",
-      "   548 |     5570 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0026316063 |             f\n",
-      "   549 |     5580 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0040938321 |         ideal\n",
-      "   550 |     5590 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0001107864 |             f\n",
-      "   551 |     5600 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0001866716 |             f\n",
-      "   552 |     5610 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0007542425 |             f\n",
-      "   553 |     5620 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0010597183 |             f\n",
-      "   554 |     5630 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0017581873 |             f\n",
-      "   555 |     5640 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0019698436 |             f\n",
-      "   556 |     5650 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0020352941 |             f\n",
-      "   557 |     5660 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0022274866 |             f\n",
-      "   558 |     5670 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0024439431 |             f\n",
-      "   559 |     5680 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0026150193 |             f\n",
-      "   560 |     5690 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0001773217 |             f\n",
-      "   561 |     5700 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0003802040 |             f\n",
-      "   562 |     5710 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0005449515 |             f\n",
-      "   563 |     5720 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0006121432 |             f\n",
-      "   564 |     5730 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0006809190 |             f\n",
-      "   565 |     5740 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0007665386 |             f\n",
-      "   566 |     5750 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0007729178 |             f\n",
-      "   567 |     5760 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0009310278 |             f\n",
-      "   568 |     5770 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0009935592 |             f\n",
-      "   569 |     5780 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0011228310 |             f\n",
-      "   570 |     5790 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0012831096 |             f\n",
-      "   571 |     5800 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0015054537 |             f\n",
-      "   572 |     5810 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0015044568 |             f\n",
-      "   573 |     5820 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0015352639 |             f\n",
-      "   574 |     5830 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0016937403 |             f\n",
-      "   575 |     5840 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0017828326 |             f\n",
-      "   576 |     5850 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0017792099 |             f\n",
-      "   577 |     5860 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0018964996 |             f\n",
-      "   578 |     5870 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0021394670 |             f\n",
-      "   579 |     5880 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0351935918 |         nadir\n",
-      "   580 |     5890 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0001325355 |             f\n",
-      "   581 |     5900 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0003069792 |             f\n",
-      "   582 |     5910 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0003950072 |             f\n",
-      "   583 |     5920 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0006267210 |             f\n",
-      "   584 |     5930 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0008970075 |             f\n",
-      "   585 |     5940 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0009453285 |             f\n",
-      "   586 |     5950 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0010786864 |             f\n",
-      "   587 |     5960 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0011308988 |             f\n",
-      "   588 |     5970 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0012165090 |             f\n",
-      "   589 |     5980 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0012391769 |             f\n",
-      "   590 |     5990 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0013126019 |             f\n",
-      "   591 |     6000 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0013964701 |             f\n",
-      "   592 |     6010 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0015340953 |             f\n",
-      "   593 |     6020 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0016453742 |             f\n",
-      "   594 |     6030 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0017452463 |             f\n",
-      "   595 |     6040 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0019758079 |             f\n",
-      "   596 |     6050 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0022331040 |             f\n",
-      "   597 |     6060 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0022263174 |             f\n",
-      "   598 |     6070 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0022694176 |             f\n",
-      "   599 |     6080 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0023485679 |             f\n",
-      "   600 |     6090 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0027086071 |             f\n",
-      "   601 |     6100 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0002316941 |             f\n",
-      "   602 |     6110 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0004912879 |             f\n",
-      "   603 |     6120 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0006842848 |             f\n",
-      "   604 |     6130 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0006850254 |             f\n",
-      "   605 |     6140 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0008024058 |             f\n",
-      "   606 |     6150 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0009955388 |             f\n",
-      "   607 |     6160 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0011447875 |             f\n",
-      "   608 |     6170 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0013492133 |             f\n",
-      "   609 |     6180 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0014982048 |             f\n",
-      "   610 |     6190 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0016099154 |             f\n",
-      "   611 |     6200 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0017862772 |             f\n",
-      "   612 |     6210 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0021254375 |             f\n",
-      "   613 |     6220 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0021602647 |             f\n",
-      "   614 |     6230 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0023333648 |             f\n",
-      "   615 |     6240 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0025366296 |             f\n",
-      "   616 |     6250 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0000759493 |             f\n",
-      "   617 |     6260 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0040116316 |         ideal\n",
-      "   618 |     6270 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0000746227 |             f\n",
-      "   619 |     6280 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0001081353 |             f\n",
-      "   620 |     6290 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0003258474 |             f\n",
-      "   621 |     6300 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0004538087 |             f\n",
-      "   622 |     6310 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0006555023 |             f\n",
-      "   623 |     6320 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0007225122 |             f\n",
-      "   624 |     6330 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0007961139 |             f\n",
-      "   625 |     6340 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0008414830 |             f\n",
-      "   626 |     6350 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0010294031 |             f\n",
-      "   627 |     6360 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0010884342 |             f\n",
-      "   628 |     6370 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0011841835 |             f\n",
-      "   629 |     6380 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0013574272 |             f\n",
-      "   630 |     6390 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0015875788 |             f\n",
-      "   631 |     6400 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0016436640 |             f\n",
-      "   632 |     6410 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0017487362 |             f\n",
-      "   633 |     6420 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0017490104 |             f\n",
-      "   634 |     6430 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0019647370 |             f\n",
-      "   635 |     6440 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0019943590 |             f\n",
-      "   636 |     6450 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0021121800 |             f\n",
-      "   637 |     6460 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0021144700 |             f\n",
-      "   638 |     6470 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0021809618 |             f\n",
-      "   639 |     6480 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0022508324 |             f\n",
-      "   640 |     6490 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0023243035 |             f\n",
-      "   641 |     6500 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0023744863 |             f\n",
-      "   642 |     6510 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0023461876 |             f\n",
-      "   643 |     6520 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0023594415 |             f\n",
-      "   644 |     6530 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0024126320 |             f\n",
-      "   645 |     6540 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0025307420 |             f\n",
-      "   646 |     6550 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0001554878 |             f\n",
-      "   647 |     6560 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0002803377 |             f\n",
-      "   648 |     6570 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0003429034 |             f\n",
-      "   649 |     6580 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0004679262 |             f\n",
-      "   650 |     6590 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0006161061 |             f\n",
-      "   651 |     6600 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0006169555 |             f\n",
-      "   652 |     6610 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0007009823 |             f\n",
-      "   653 |     6620 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0007300822 |             f\n",
-      "   654 |     6630 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0008456621 |             f\n",
-      "   655 |     6640 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0009190555 |             f\n",
-      "   656 |     6650 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0010051576 |             f\n",
-      "   657 |     6660 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0010345673 |             f\n",
-      "   658 |     6670 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0011306288 |             f\n",
-      "   659 |     6680 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0012210628 |             f\n",
-      "   660 |     6690 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0014138239 |             f\n",
-      "   661 |     6700 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0015500363 |             f\n",
-      "   662 |     6710 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0016510965 |             f\n",
-      "   663 |     6720 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0017207157 |             f\n",
-      "   664 |     6730 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0018354860 |             f\n",
-      "   665 |     6740 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0019318786 |             f\n",
-      "   666 |     6750 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0019653487 |             f\n",
-      "   667 |     6760 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0020919460 |             f\n",
-      "   668 |     6770 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0022668467 |             f\n",
-      "   669 |     6780 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0022993579 |             f\n",
-      "   670 |     6790 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0025564041 |             f\n",
-      "   671 |     6800 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0002251774 |             f\n",
-      "   672 |     6810 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0004343425 |             f\n",
-      "   673 |     6820 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0004768008 |             f\n",
-      "   674 |     6830 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0005639707 |             f\n",
-      "   675 |     6840 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0007581712 |             f\n",
-      "   676 |     6850 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0009305651 |             f\n",
-      "   677 |     6860 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0011637987 |             f\n",
-      "   678 |     6870 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0013241403 |             f\n",
-      "   679 |     6880 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0015878667 |             f\n",
-      "   680 |     6890 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0014819051 |             f\n",
-      "   681 |     6900 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0015279500 |             f\n",
-      "   682 |     6910 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0015394117 |             f\n",
-      "   683 |     6920 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0016776401 |             f\n",
-      "   684 |     6930 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0017822082 |             f\n",
-      "   685 |     6940 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0018357653 |             f\n",
-      "   686 |     6950 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0018407319 |             f\n",
-      "   687 |     6960 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0019732129 |             f\n",
-      "   688 |     6970 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0020604184 |             f\n",
-      "   689 |     6980 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0022955994 |             f\n",
-      "   690 |     6990 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0021609101 |             f\n",
-      "   691 |     7000 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0022867236 |             f\n",
-      "   692 |     7010 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0024658086 |             f\n",
-      "   693 |     7020 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0024371291 |             f\n",
-      "   694 |     7030 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0023745018 |             f\n",
-      "   695 |     7040 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0023937711 |             f\n",
-      "   696 |     7050 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0025489373 |             f\n",
-      "   697 |     7060 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0000511646 |             f\n",
-      "   698 |     7070 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0001559250 |             f\n",
-      "   699 |     7080 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0002713075 |             f\n",
-      "   700 |     7090 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0003568249 |             f\n",
-      "   701 |     7100 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0004029359 |             f\n",
-      "   702 |     7110 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0004162030 |             f\n",
-      "   703 |     7120 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0005464407 |             f\n",
-      "   704 |     7130 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0006122595 |             f\n",
-      "   705 |     7140 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0007754078 |             f\n",
-      "   706 |     7150 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0007942699 |             f\n",
-      "   707 |     7160 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0008331028 |             f\n",
-      "   708 |     7170 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0008513748 |             f\n",
-      "   709 |     7180 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0009235207 |             f\n",
-      "   710 |     7190 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0011094073 |             f\n",
-      "   711 |     7200 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0012602759 |             f\n",
-      "   712 |     7210 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0013450139 |             f\n",
-      "   713 |     7220 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0013450139 |             f\n",
-      "   714 |     7230 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0014980332 |             f\n",
-      "   715 |     7240 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0016410877 |             f\n",
-      "   716 |     7250 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0016625357 |             f\n",
-      "   717 |     7260 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0017612394 |             f\n",
-      "   718 |     7270 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0017815058 |             f\n",
-      "   719 |     7280 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0017778069 |             f\n",
-      "   720 |     7290 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0018822845 |             f\n",
-      "   721 |     7300 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0019344983 |             f\n",
-      "   722 |     7310 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0019344983 |             f\n",
-      "   723 |     7320 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0021641768 |             f\n",
-      "   724 |     7330 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0025495832 |             f\n",
-      "   725 |     7340 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0000609433 |             f\n",
-      "   726 |     7350 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0003433416 |             f\n",
-      "   727 |     7360 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0004496376 |             f\n",
-      "   728 |     7370 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0005842398 |             f\n",
-      "   729 |     7380 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0007047053 |             f\n",
-      "   730 |     7390 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0007976618 |             f\n",
-      "   731 |     7400 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0008430649 |             f\n",
-      "   732 |     7410 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0009811574 |             f\n",
-      "   733 |     7420 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0011823692 |             f\n",
-      "   734 |     7430 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0013620198 |             f\n",
-      "   735 |     7440 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0013865076 |             f\n",
-      "   736 |     7450 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0013965261 |             f\n",
-      "   737 |     7460 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0016214726 |             f\n",
-      "   738 |     7470 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0016214726 |             f\n",
-      "   739 |     7480 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0017086573 |             f\n",
-      "   740 |     7490 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0017148642 |             f\n",
-      "   741 |     7500 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0019198561 |             f\n",
-      "   742 |     7510 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0019658200 |             f\n",
-      "   743 |     7520 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0053715901 |         nadir\n",
-      "   744 |     7530 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0000367229 |             f\n",
-      "   745 |     7540 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0001057559 |             f\n",
-      "   746 |     7550 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0001888421 |             f\n",
-      "   747 |     7560 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0002746935 |             f\n",
-      "   748 |     7570 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0003648976 |             f\n",
-      "   749 |     7580 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0003889834 |             f\n",
-      "   750 |     7590 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0005215316 |             f\n",
-      "   751 |     7600 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0006450773 |             f\n",
-      "   752 |     7610 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0006482677 |             f\n",
-      "   753 |     7620 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0009246473 |             f\n",
-      "   754 |     7630 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0009401526 |             f\n",
-      "   755 |     7640 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0010517592 |             f\n",
-      "   756 |     7650 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0011731388 |             f\n",
-      "   757 |     7660 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0013520381 |             f\n",
-      "   758 |     7670 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0014429548 |             f\n",
-      "   759 |     7680 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0167555994 |         ideal\n",
-      "   760 |     7690 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0000743586 |             f\n",
-      "   761 |     7700 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0001970225 |             f\n",
-      "   762 |     7710 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0002262625 |             f\n",
-      "   763 |     7720 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0002192891 |             f\n",
-      "   764 |     7730 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0004001803 |             f\n",
-      "   765 |     7740 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0004344470 |             f\n",
-      "   766 |     7750 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0005673850 |             f\n",
-      "   767 |     7760 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0006321956 |             f\n",
-      "   768 |     7770 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0006322414 |             f\n",
-      "   769 |     7780 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0007543804 |             f\n",
-      "   770 |     7790 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0008038563 |             f\n",
-      "   771 |     7800 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0007701542 |             f\n",
-      "   772 |     7810 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0007899108 |             f\n",
-      "   773 |     7820 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0008133603 |             f\n",
-      "   774 |     7830 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0008766115 |             f\n",
-      "   775 |     7840 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0008377038 |             f\n",
-      "   776 |     7850 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0010052486 |             f\n",
-      "   777 |     7860 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0011135241 |             f\n",
-      "   778 |     7870 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0011101409 |             f\n",
-      "   779 |     7880 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0012301162 |             f\n",
-      "   780 |     7890 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0013672065 |             f\n",
-      "   781 |     7900 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0015516000 |             f\n",
-      "   782 |     7910 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0015707131 |             f\n",
-      "   783 |     7920 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0017063741 |             f\n",
-      "   784 |     7930 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0083504501 |         ideal\n",
-      "   785 |     7940 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0001304212 |             f\n",
-      "   786 |     7950 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0002640460 |             f\n",
-      "   787 |     7960 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0002905677 |             f\n",
-      "   788 |     7970 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0004813073 |             f\n",
-      "   789 |     7980 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0006718930 |             f\n",
-      "   790 |     7990 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0006872546 |             f\n",
-      "   791 |     8000 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0010875192 |             f\n",
-      "   792 |     8010 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0011455077 |             f\n",
-      "   793 |     8020 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0013716266 |             f\n",
-      "   794 |     8030 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0014581149 |             f\n",
-      "   795 |     8040 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0016299491 |             f\n",
-      "   796 |     8050 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0016412568 |             f\n",
-      "   797 |     8060 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0017416509 |             f\n",
-      "   798 |     8070 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0018798231 |             f\n",
-      "   799 |     8080 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0020981484 |             f\n",
-      "   800 |     8090 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0021315691 |             f\n",
-      "   801 |     8100 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0022006258 |             f\n",
-      "   802 |     8110 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0021819700 |             f\n",
-      "   803 |     8120 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0023030351 |             f\n",
-      "   804 |     8130 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0023532922 |             f\n",
-      "   805 |     8140 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0023758623 |             f\n",
-      "   806 |     8150 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0024723072 |             f\n",
-      "   807 |     8160 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0029571504 |             f\n",
-      "   808 |     8170 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0002671215 |             f\n",
-      "   809 |     8180 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0003474170 |             f\n",
-      "   810 |     8190 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0003493756 |             f\n",
-      "   811 |     8200 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0005391953 |             f\n",
-      "   812 |     8210 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0005391953 |             f\n",
-      "   813 |     8220 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0006340529 |             f\n",
-      "   814 |     8230 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0006541528 |             f\n",
-      "   815 |     8240 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0006796379 |             f\n",
-      "   816 |     8250 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0009392320 |             f\n",
-      "   817 |     8260 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0011835703 |             f\n",
-      "   818 |     8270 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0012640169 |             f\n",
-      "   819 |     8280 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0013134158 |             f\n",
-      "   820 |     8290 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0013135694 |             f\n",
-      "   821 |     8300 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0013934225 |             f\n",
-      "   822 |     8310 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0014162211 |             f\n",
-      "   823 |     8320 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0015454532 |             f\n",
-      "   824 |     8330 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0015662321 |             f\n",
-      "   825 |     8340 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0018312998 |             f\n",
-      "   826 |     8350 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0018478061 |             f\n",
-      "   827 |     8360 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0019924744 |             f\n",
-      "   828 |     8370 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0020693155 |             f\n",
-      "   829 |     8380 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0053262158 |         ideal\n",
-      "   830 |     8390 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0000978655 |             f\n",
-      "   831 |     8400 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0001290523 |             f\n",
-      "   832 |     8410 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0001615251 |             f\n",
-      "   833 |     8420 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0001890319 |             f\n",
-      "   834 |     8430 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0002221587 |             f\n",
-      "   835 |     8440 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0002544280 |             f\n",
-      "   836 |     8450 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0004217263 |             f\n",
-      "   837 |     8460 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0004108881 |             f\n",
-      "   838 |     8470 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0004549195 |             f\n",
-      "   839 |     8480 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0004586123 |             f\n",
-      "   840 |     8490 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0005932487 |             f\n",
-      "   841 |     8500 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0006502543 |             f\n",
-      "   842 |     8510 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0006517876 |             f\n",
-      "   843 |     8520 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0006283312 |             f\n",
-      "   844 |     8530 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0006566600 |             f\n",
-      "   845 |     8540 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0006720305 |             f\n",
-      "   846 |     8550 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0007661631 |             f\n",
-      "   847 |     8560 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0008061671 |             f\n",
-      "   848 |     8570 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0008554901 |             f\n",
-      "   849 |     8580 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0008652333 |             f\n",
-      "   850 |     8590 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0009343557 |             f\n",
-      "   851 |     8600 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0010159116 |             f\n",
-      "   852 |     8610 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0010279702 |             f\n",
-      "   853 |     8620 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0010366781 |             f\n",
-      "   854 |     8630 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0011884397 |             f\n",
-      "   855 |     8640 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0012827480 |             f\n",
-      "   856 |     8650 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0012690238 |             f\n",
-      "   857 |     8660 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0012710122 |             f\n",
-      "   858 |     8670 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0013150420 |             f\n",
-      "   859 |     8680 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0013703304 |             f\n",
-      "   860 |     8690 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0014220304 |             f\n",
-      "   861 |     8700 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0014721886 |             f\n",
-      "   862 |     8710 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0015143634 |             f\n",
-      "   863 |     8720 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0015155149 |             f\n",
-      "   864 |     8730 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0016201448 |             f\n",
-      "   865 |     8740 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0018150306 |             f\n",
-      "   866 |     8750 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0019125882 |             f\n",
-      "   867 |     8760 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0020386661 |             f\n",
-      "   868 |     8770 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0022161599 |             f\n",
-      "   869 |     8780 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0022953902 |             f\n",
-      "   870 |     8790 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0023510482 |             f\n",
-      "   871 |     8800 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0023886793 |             f\n",
-      "   872 |     8810 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0023989938 |             f\n",
-      "   873 |     8820 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0024819261 |             f\n",
-      "   874 |     8830 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0025005296 |             f\n",
-      "   875 |     8840 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0000228456 |             f\n",
-      "   876 |     8850 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0001552938 |             f\n",
-      "   877 |     8860 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0003115220 |             f\n",
-      "   878 |     8870 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0004688500 |             f\n",
-      "   879 |     8880 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0004821774 |             f\n",
-      "   880 |     8890 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0005261028 |             f\n",
-      "   881 |     8900 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0004672145 |             f\n",
-      "   882 |     8910 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0004988668 |             f\n",
-      "   883 |     8920 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0005148715 |             f\n",
-      "   884 |     8930 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0006022172 |             f\n",
-      "   885 |     8940 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0007462165 |             f\n",
-      "   886 |     8950 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0007462182 |             f\n",
-      "   887 |     8960 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0009240582 |             f\n",
-      "   888 |     8970 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0009639943 |             f\n",
-      "   889 |     8980 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0010840806 |             f\n",
-      "   890 |     8990 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0010844534 |             f\n",
-      "   891 |     9000 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0010863893 |             f\n",
-      "   892 |     9010 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0011138023 |             f\n",
-      "   893 |     9020 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0012100878 |             f\n",
-      "   894 |     9030 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0012430047 |             f\n",
-      "   895 |     9040 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0013152661 |             f\n",
-      "   896 |     9050 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0012901539 |             f\n",
-      "   897 |     9060 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0013447617 |             f\n",
-      "   898 |     9070 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0015852163 |             f\n",
-      "   899 |     9080 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0016354884 |             f\n",
-      "   900 |     9090 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0016735411 |             f\n",
-      "   901 |     9100 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0018455914 |             f\n",
-      "   902 |     9110 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0019002342 |             f\n",
-      "   903 |     9120 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0019201171 |             f\n",
-      "   904 |     9130 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0019513147 |             f\n",
-      "   905 |     9140 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0019745269 |             f\n",
-      "   906 |     9150 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0020279203 |             f\n",
-      "   907 |     9160 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0020751097 |             f\n",
-      "   908 |     9170 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0020308942 |             f\n",
-      "   909 |     9180 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0018905551 |             f\n",
-      "   910 |     9190 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0019964463 |             f\n",
-      "   911 |     9200 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0020117450 |             f\n",
-      "   912 |     9210 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0021087708 |             f\n",
-      "   913 |     9220 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0023760156 |             f\n",
-      "   914 |     9230 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0023760156 |             f\n",
-      "   915 |     9240 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0023756322 |             f\n",
-      "   916 |     9250 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0269410689 |         nadir\n",
-      "   917 |     9260 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0001118936 |             f\n",
-      "   918 |     9270 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0001357228 |             f\n",
-      "   919 |     9280 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0001715094 |             f\n",
-      "   920 |     9290 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0002553954 |             f\n",
-      "   921 |     9300 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0002580774 |             f\n",
-      "   922 |     9310 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0005716886 |             f\n",
-      "   923 |     9320 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0006845783 |             f\n",
-      "   924 |     9330 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0007159826 |             f\n",
-      "   925 |     9340 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0666333922 |         nadir\n",
-      "   926 |     9350 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0000171867 |             f\n",
-      "   927 |     9360 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0000560883 |             f\n",
-      "   928 |     9370 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0001816828 |             f\n",
-      "   929 |     9380 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0003749438 |             f\n",
-      "   930 |     9390 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0003642016 |             f\n",
-      "   931 |     9400 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0003882224 |             f\n",
-      "   932 |     9410 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0004900804 |             f\n",
-      "   933 |     9420 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0005470071 |             f\n",
-      "   934 |     9430 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0005313016 |             f\n",
-      "   935 |     9440 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0005568722 |             f\n",
-      "   936 |     9450 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0006094225 |             f\n",
-      "   937 |     9460 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0006951338 |             f\n",
-      "   938 |     9470 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0008291705 |             f\n",
-      "   939 |     9480 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0009250725 |             f\n",
-      "   940 |     9490 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0009348682 |             f\n",
-      "   941 |     9500 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0012025228 |             f\n",
-      "   942 |     9510 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0013395670 |             f\n",
-      "   943 |     9520 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0014601203 |             f\n",
-      "   944 |     9530 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0016634184 |             f\n",
-      "   945 |     9540 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0015574023 |             f\n",
-      "   946 |     9550 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0016252073 |             f\n",
-      "   947 |     9560 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0016795823 |             f\n",
-      "   948 |     9570 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0017755434 |             f\n",
-      "   949 |     9580 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0017755434 |             f\n",
-      "   950 |     9590 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0019095690 |             f\n",
-      "   951 |     9600 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0018934366 |             f\n",
-      "   952 |     9610 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0020293279 |             f\n",
-      "   953 |     9620 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0020327791 |             f\n",
-      "   954 |     9630 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0020327791 |             f\n",
-      "   955 |     9640 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0021489355 |             f\n",
-      "   956 |     9650 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0628263317 |         nadir\n",
-      "   957 |     9660 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0001158853 |             f\n",
-      "   958 |     9670 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0001662817 |             f\n",
-      "   959 |     9680 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0002424402 |             f\n",
-      "   960 |     9690 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0001950702 |             f\n",
-      "   961 |     9700 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0004877321 |             f\n",
-      "   962 |     9710 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0005498137 |             f\n",
-      "   963 |     9720 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0006630276 |             f\n",
-      "   964 |     9730 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0007744311 |             f\n",
-      "   965 |     9740 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0008055553 |             f\n",
-      "   966 |     9750 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0009051520 |             f\n",
-      "   967 |     9760 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0008955381 |             f\n",
-      "   968 |     9770 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0009471690 |             f\n",
-      "   969 |     9780 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0010104590 |             f\n",
-      "   970 |     9790 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0144854797 |         nadir\n",
-      "   971 |     9800 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0000360068 |             f\n",
-      "   972 |     9810 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0002558669 |             f\n",
-      "   973 |     9820 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0002939222 |             f\n",
-      "   974 |     9830 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0003429311 |             f\n",
-      "   975 |     9840 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0004514767 |             f\n",
-      "   976 |     9850 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0004514767 |             f\n",
-      "   977 |     9860 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0006312425 |             f\n",
-      "   978 |     9870 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0006421729 |             f\n",
-      "   979 |     9880 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0007528196 |             f\n",
-      "   980 |     9890 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0008320326 |             f\n",
-      "   981 |     9900 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0009395507 |             f\n",
-      "   982 |     9910 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0010864207 |             f\n",
-      "   983 |     9920 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0012831584 |             f\n",
-      "   984 |     9930 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0013327391 |             f\n",
-      "   985 |     9940 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0015087215 |             f\n",
-      "   986 |     9950 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0016386002 |             f\n",
-      "   987 |     9960 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0016451043 |             f\n",
-      "   988 |     9970 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0016986748 |             f\n",
-      "   989 |     9980 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0017000444 |             f\n",
-      "   990 |     9990 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0017474041 |             f\n",
-      "   991 |    10000 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0017375576 |             f\n",
-      "   992 |    10010 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0017794563 |             f\n",
-      "   993 |    10020 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0018354204 |             f\n",
-      "   994 |    10030 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0018892416 |             f\n",
-      "   995 |    10040 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0019709507 |             f\n",
-      "   996 |    10050 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0159757638 |         nadir\n",
-      "   997 |    10060 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0001387656 |             f\n",
-      "   998 |    10070 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0002923882 |             f\n",
-      "   999 |    10080 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0003363034 |             f\n",
-      "  1000 |    10090 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0005338261 |             f\n"
+      "     1 |      100 |      1 |  1.2447624114 |  1.321842E+01 |             - |             -\n",
+      "     2 |      110 |      1 |  1.2447624114 |  1.153450E+01 |             - |             -\n",
+      "     3 |      120 |      1 |  1.2447624114 |  9.9142965628 |             - |             -\n",
+      "     4 |      130 |      1 |  1.2447624114 |  8.7687469458 |             - |             -\n",
+      "     5 |      140 |      1 |  1.2447624114 |  8.1780290171 |             - |             -\n",
+      "     6 |      150 |      1 |  1.2447624114 |  7.4742640136 |             - |             -\n",
+      "     7 |      160 |      1 |  1.2447624114 |  6.7372367433 |             - |             -\n",
+      "     8 |      170 |      1 |  1.2447624114 |  5.9807000467 |             - |             -\n",
+      "     9 |      180 |      1 |  1.2447624114 |  5.7326282428 |             - |             -\n",
+      "    10 |      190 |      1 |  1.2447624114 |  5.1012846133 |             - |             -\n",
+      "    11 |      200 |      1 |  1.2447624114 |  4.8301810882 |             - |             -\n",
+      "    12 |      210 |      1 |  1.2020214342 |  4.4414999083 |             - |             -\n",
+      "    13 |      220 |      1 |  1.2020214342 |  4.2250916523 |             - |             -\n",
+      "    14 |      230 |      1 |  1.2020214342 |  3.9329139108 |             - |             -\n",
+      "    15 |      240 |      1 |  1.2020214342 |  3.8438056537 |             - |             -\n",
+      "    16 |      250 |      1 |  1.2020214342 |  3.7019959969 |             - |             -\n",
+      "    17 |      260 |      1 |  1.2020135368 |  3.4683761403 |             - |             -\n",
+      "    18 |      270 |      1 |  1.2020135368 |  3.3916057446 |             - |             -\n",
+      "    19 |      280 |      1 |  1.2020135368 |  3.2904900632 |             - |             -\n",
+      "    20 |      290 |      1 |  0.9251170924 |  3.1021449122 |             - |             -\n",
+      "    21 |      300 |      1 |  0.9251170924 |  2.9921461057 |             - |             -\n",
+      "    22 |      310 |      1 |  0.9251170924 |  2.8950952365 |             - |             -\n",
+      "    23 |      320 |      1 |  0.9251170924 |  2.8017271714 |             - |             -\n",
+      "    24 |      330 |      1 |  0.9251170924 |  2.7185956248 |             - |             -\n",
+      "    25 |      340 |      1 |  0.9251170924 |  2.6438358263 |             - |             -\n",
+      "    26 |      350 |      1 |  0.7103696585 |  2.5452916418 |             - |             -\n",
+      "    27 |      360 |      1 |  0.7103696585 |  2.4566197093 |             - |             -\n",
+      "    28 |      370 |      1 |  0.7103696585 |  2.3944871840 |             - |             -\n",
+      "    29 |      380 |      1 |  0.7103696585 |  2.3463506016 |             - |             -\n",
+      "    30 |      390 |      1 |  0.7103696585 |  2.2786130311 |             - |             -\n",
+      "    31 |      400 |      1 |  0.7103696585 |  2.1569958256 |             - |             -\n",
+      "    32 |      410 |      1 |  0.7103696585 |  2.0995336897 |             - |             -\n",
+      "    33 |      420 |      1 |  0.7103696585 |  2.0327917404 |             - |             -\n",
+      "    34 |      430 |      1 |  0.7103696585 |  1.9711220190 |             - |             -\n",
+      "    35 |      440 |      1 |  0.7103696585 |  1.9058935831 |             - |             -\n",
+      "    36 |      450 |      1 |  0.7103696585 |  1.8473199369 |             - |             -\n",
+      "    37 |      460 |      1 |  0.5328777479 |  1.7699896359 |             - |             -\n",
+      "    38 |      470 |      1 |  0.5328777479 |  1.6989394280 |             - |             -\n",
+      "    39 |      480 |      1 |  0.5328777479 |  1.6501179793 |             - |             -\n",
+      "    40 |      490 |      1 |  0.4157486512 |  1.5671442546 |             - |             -\n",
+      "    41 |      500 |      1 |  0.4157486512 |  1.5016377206 |             - |             -\n",
+      "    42 |      510 |      1 |  0.4157486512 |  1.4142370585 |             - |             -\n",
+      "    43 |      520 |      1 |  0.4157486512 |  1.3642783177 |             - |             -\n",
+      "    44 |      530 |      1 |  0.3338546504 |  1.2989637766 |             - |             -\n",
+      "    45 |      540 |      1 |  0.3338546504 |  1.2591352690 |             - |             -\n",
+      "    46 |      550 |      1 |  0.3338546504 |  1.2152910277 |             - |             -\n",
+      "    47 |      560 |      1 |  0.3338546504 |  1.1853800511 |             - |             -\n",
+      "    48 |      570 |      1 |  0.3338546504 |  1.1441472525 |             - |             -\n",
+      "    49 |      580 |      1 |  0.3338546504 |  1.1020816874 |             - |             -\n",
+      "    50 |      590 |      1 |  0.3290038155 |  1.0551012751 |             - |             -\n",
+      "    51 |      600 |      1 |  0.1501154462 |  0.9913617622 |             - |             -\n",
+      "    52 |      610 |      1 |  0.1501154462 |  0.9532150212 |             - |             -\n",
+      "    53 |      620 |      1 |  0.1501154462 |  0.9285273429 |             - |             -\n",
+      "    54 |      630 |      1 |  0.1501154462 |  0.8963192670 |             - |             -\n",
+      "    55 |      640 |      1 |  0.1501154462 |  0.8642279681 |             - |             -\n",
+      "    56 |      650 |      1 |  0.1501154462 |  0.8382910823 |             - |             -\n",
+      "    57 |      660 |      1 |  0.1501154462 |  0.8121788008 |             - |             -\n",
+      "    58 |      670 |      1 |  0.1501154462 |  0.7890983618 |             - |             -\n",
+      "    59 |      680 |      1 |  0.1501154462 |  0.7548138313 |             - |             -\n",
+      "    60 |      690 |      1 |  0.1501154462 |  0.7183258959 |             - |             -\n",
+      "    61 |      700 |      1 |  0.1501154462 |  0.6908260762 |             - |             -\n",
+      "    62 |      710 |      1 |  0.1501154462 |  0.6541430112 |             - |             -\n",
+      "    63 |      720 |      1 |  0.1501154462 |  0.6358916348 |             - |             -\n",
+      "    64 |      730 |      1 |  0.0659234066 |  0.6160858522 |             - |             -\n",
+      "    65 |      740 |      1 |  0.0080355240 |  0.5750747295 |             - |             -\n",
+      "    66 |      750 |      1 |  0.0080355240 |  0.5433593396 |             - |             -\n",
+      "    67 |      760 |      1 |  0.0080355240 |  0.5040742057 |             - |             -\n",
+      "    68 |      770 |      1 |  0.0080355240 |  0.4744203671 |             - |             -\n",
+      "    69 |      780 |      1 |  0.0080355240 |  0.4345298838 |             - |             -\n",
+      "    70 |      790 |      1 |  0.0080355240 |  0.4102289791 |             - |             -\n",
+      "    71 |      800 |      1 |  0.0080355240 |  0.3797850297 |             - |             -\n",
+      "    72 |      810 |      1 |  0.0080355240 |  0.3514580106 |             - |             -\n",
+      "    73 |      820 |      1 |  0.0080355240 |  0.3172545026 |             - |             -\n",
+      "    74 |      830 |      1 |  0.0080355240 |  0.2978724034 |             - |             -\n",
+      "    75 |      840 |      1 |  0.0080355240 |  0.2788299750 |             - |             -\n",
+      "    76 |      850 |      1 |  0.0080355240 |  0.2590664045 |             - |             -\n",
+      "    77 |      860 |      1 |  0.0080355240 |  0.2450882553 |             - |             -\n",
+      "    78 |      870 |      1 |  0.0080355240 |  0.2283044606 |             - |             -\n",
+      "    79 |      880 |      1 |  0.0080355240 |  0.2152745312 |             - |             -\n",
+      "    80 |      890 |      1 |  0.0080355240 |  0.2032830255 |             - |             -\n",
+      "    81 |      900 |      1 |  0.0080355240 |  0.1872671303 |             - |             -\n",
+      "    82 |      910 |      1 |  0.0080355240 |  0.1814024909 |             - |             -\n",
+      "    83 |      920 |      1 |  0.0080355240 |  0.1666472354 |             - |             -\n",
+      "    84 |      930 |      1 |  0.0080355240 |  0.1548831304 |             - |             -\n",
+      "    85 |      940 |      1 |  0.0080355240 |  0.1421663619 |             - |             -\n",
+      "    86 |      950 |      1 |  0.0080355240 |  0.1386919034 |             - |             -\n",
+      "    87 |      960 |      1 |  0.0080355240 |  0.1296236803 |             - |             -\n",
+      "    88 |      970 |      1 |  0.0080355240 |  0.1232411839 |             - |             -\n",
+      "    89 |      980 |      1 |  0.0080355240 |  0.1181818100 |             - |             -\n",
+      "    90 |      990 |      1 |  0.0040045051 |  0.1108376782 |             - |             -\n",
+      "    91 |     1000 |      1 |  0.0040045051 |  0.0991576217 |             - |             -\n",
+      "    92 |     1010 |      1 |  0.0030458934 |  0.0903876061 |             - |             -\n",
+      "    93 |     1020 |      1 |  0.0030458934 |  0.0840444573 |             - |             -\n",
+      "    94 |     1030 |      1 |  0.0030458934 |  0.0770829705 |             - |             -\n",
+      "    95 |     1040 |      1 |  0.0030458934 |  0.0749364803 |             - |             -\n",
+      "    96 |     1050 |      1 |  0.0030458934 |  0.0699191130 |             - |             -\n",
+      "    97 |     1060 |      1 |  0.0030458934 |  0.0636755606 |             - |             -\n",
+      "    98 |     1070 |      1 |  0.0030458934 |  0.0603561252 |             - |             -\n",
+      "    99 |     1080 |      1 |  0.0030458934 |  0.0574015321 |             - |             -\n",
+      "   100 |     1090 |      1 |  0.0030458934 |  0.0521488605 |             - |             -\n",
+      "   101 |     1100 |      1 |  0.0030458934 |  0.0488119677 |             - |             -\n",
+      "   102 |     1110 |      1 |  0.0006650126 |  0.0453247246 |             - |             -\n",
+      "   103 |     1120 |      1 |  0.0006650126 |  0.0384596350 |             - |             -\n",
+      "   104 |     1130 |      1 |  0.0006650126 |  0.0341189388 |             - |             -\n",
+      "   105 |     1140 |      1 |  0.0006650126 |  0.0305935763 |             - |             -\n",
+      "   106 |     1150 |      1 |  0.0006650126 |  0.0277642178 |             - |             -\n",
+      "   107 |     1160 |      1 |  0.0006650126 |  0.0262773442 |             - |             -\n",
+      "   108 |     1170 |      1 |  0.0006650126 |  0.0240173751 |             - |             -\n",
+      "   109 |     1180 |      1 |  0.0006650126 |  0.0220353405 |             - |             -\n",
+      "   110 |     1190 |      1 |  0.0006650126 |  0.0199436011 |             - |             -\n",
+      "   111 |     1200 |      1 |  0.0006650126 |  0.0185584272 |             - |             -\n",
+      "   112 |     1210 |      1 |  0.0006650126 |  0.0176762112 |             - |             -\n",
+      "   113 |     1220 |      1 |  0.0006650126 |  0.0160523747 |             - |             -\n",
+      "   114 |     1230 |      1 |  0.0006650126 |  0.0142317024 |             - |             -\n",
+      "   115 |     1240 |      1 |  0.0002916267 |  0.0132799848 |             - |             -\n",
+      "   116 |     1250 |      1 |  0.0002916267 |  0.0117074406 |             - |             -\n",
+      "   117 |     1260 |      1 |  0.0002916267 |  0.0104143300 |             - |             -\n",
+      "   118 |     1270 |      1 |  0.0002916267 |  0.0090970947 |             - |             -\n",
+      "   119 |     1280 |      1 |  0.0002916267 |  0.0084841712 |             - |             -\n",
+      "   120 |     1290 |      1 |  0.0002916267 |  0.0079257100 |             - |             -\n",
+      "   121 |     1300 |      1 |  0.0002916267 |  0.0074491005 |             - |             -\n",
+      "   122 |     1310 |      1 |  0.0002916267 |  0.0067921069 |             - |             -\n",
+      "   123 |     1320 |      1 |  0.0002916267 |  0.0062917885 |             - |             -\n",
+      "   124 |     1330 |      1 |  0.0002916267 |  0.0058006048 |             - |             -\n",
+      "   125 |     1340 |      1 |  0.0002916267 |  0.0054179180 |             - |             -\n",
+      "   126 |     1350 |      1 |  0.0002916267 |  0.0050958627 |             - |             -\n",
+      "   127 |     1360 |      1 |  0.0002916267 |  0.0048015069 |             - |             -\n",
+      "   128 |     1370 |      1 |  0.0002916267 |  0.0047057331 |             - |             -\n",
+      "   129 |     1380 |      1 |  0.0002916267 |  0.0045079201 |             - |             -\n",
+      "   130 |     1390 |      1 |  0.0002916267 |  0.0040720889 |             - |             -\n",
+      "   131 |     1400 |      1 |  0.0002916267 |  0.0038120996 |             - |             -\n",
+      "   132 |     1410 |      1 |  0.0002916267 |  0.0036156449 |             - |             -\n",
+      "   133 |     1420 |      1 |  0.0002916267 |  0.0033795874 |             - |             -\n",
+      "   134 |     1430 |      1 |  0.0002916267 |  0.0032238044 |             - |             -\n",
+      "   135 |     1440 |      1 |  0.0002916267 |  0.0030562230 |             - |             -\n",
+      "   136 |     1450 |      1 |  0.0002916267 |  0.0029027988 |             - |             -\n",
+      "   137 |     1460 |      1 |  0.0002916267 |  0.0028158730 |             - |             -\n",
+      "   138 |     1470 |      1 |  0.0002916267 |  0.0026762809 |             - |             -\n",
+      "   139 |     1480 |      1 |  0.000000E+00 |  0.0025596101 |             - |             -\n",
+      "   140 |     1490 |      1 |  0.000000E+00 |  0.0024987913 |  0.000000E+00 |             f\n",
+      "   141 |     1500 |      1 |  0.000000E+00 |  0.0024649711 |  0.000000E+00 |             f\n",
+      "   142 |     1510 |      1 |  0.000000E+00 |  0.0023679804 |  0.000000E+00 |             f\n",
+      "   143 |     1520 |      1 |  0.000000E+00 |  0.0023052167 |  0.000000E+00 |             f\n",
+      "   144 |     1530 |      1 |  0.000000E+00 |  0.0023052167 |  0.000000E+00 |             f\n",
+      "   145 |     1540 |      1 |  0.000000E+00 |  0.0021746712 |  0.000000E+00 |             f\n",
+      "   146 |     1550 |      2 |  0.000000E+00 |  0.0020457361 |  1.0000000000 |         ideal\n",
+      "   147 |     1560 |      2 |  0.000000E+00 |  0.0019718675 |  0.000000E+00 |             f\n",
+      "   148 |     1570 |      2 |  0.000000E+00 |  0.0018319997 |  0.000000E+00 |             f\n",
+      "   149 |     1580 |      2 |  0.000000E+00 |  0.0017571210 |  0.000000E+00 |             f\n",
+      "   150 |     1590 |      2 |  0.000000E+00 |  0.0016929756 |  0.000000E+00 |             f\n",
+      "   151 |     1600 |      2 |  0.000000E+00 |  0.0016191943 |  0.000000E+00 |             f\n",
+      "   152 |     1610 |      2 |  0.000000E+00 |  0.0014682504 |  0.000000E+00 |             f\n",
+      "   153 |     1620 |      2 |  0.000000E+00 |  0.0014354329 |  0.000000E+00 |             f\n",
+      "   154 |     1630 |      2 |  0.000000E+00 |  0.0013503526 |  0.000000E+00 |             f\n",
+      "   155 |     1640 |      2 |  0.000000E+00 |  0.0012905633 |  0.000000E+00 |             f\n",
+      "   156 |     1650 |      2 |  0.000000E+00 |  0.0012469980 |  0.000000E+00 |             f\n",
+      "   157 |     1660 |      2 |  0.000000E+00 |  0.0012066258 |  0.000000E+00 |             f\n",
+      "   158 |     1670 |      3 |  0.000000E+00 |  0.0011294181 |  0.0005411388 |             f\n",
+      "   159 |     1680 |      4 |  0.000000E+00 |  0.0010825818 |  0.0973594568 |             f\n",
+      "   160 |     1690 |      4 |  0.000000E+00 |  0.0010253385 |  0.000000E+00 |             f\n",
+      "   161 |     1700 |      4 |  0.000000E+00 |  0.0010092442 |  0.000000E+00 |             f\n",
+      "   162 |     1710 |      4 |  0.000000E+00 |  0.0009564848 |  0.000000E+00 |             f\n",
+      "   163 |     1720 |      4 |  0.000000E+00 |  0.0009166964 |  0.000000E+00 |             f\n",
+      "   164 |     1730 |      4 |  0.000000E+00 |  0.0008792336 |  0.000000E+00 |             f\n",
+      "   165 |     1740 |      4 |  0.000000E+00 |  0.0008566603 |  0.000000E+00 |             f\n",
+      "   166 |     1750 |      5 |  0.000000E+00 |  0.0008049631 |  0.1418260617 |         ideal\n",
+      "   167 |     1760 |      5 |  0.000000E+00 |  0.0007452326 |  0.000000E+00 |             f\n",
+      "   168 |     1770 |      5 |  0.000000E+00 |  0.0007125908 |  0.000000E+00 |             f\n",
+      "   169 |     1780 |      5 |  0.000000E+00 |  0.0006768918 |  0.000000E+00 |             f\n",
+      "   170 |     1790 |      5 |  0.000000E+00 |  0.0006210274 |  0.000000E+00 |             f\n",
+      "   171 |     1800 |      6 |  0.000000E+00 |  0.0005744671 |  0.0455030218 |             f\n",
+      "   172 |     1810 |      7 |  0.000000E+00 |  0.0005472679 |  0.0044226204 |             f\n",
+      "   173 |     1820 |      7 |  0.000000E+00 |  0.0005179718 |  0.000000E+00 |             f\n",
+      "   174 |     1830 |      8 |  0.000000E+00 |  0.0004881347 |  0.0146601419 |             f\n",
+      "   175 |     1840 |      8 |  0.000000E+00 |  0.0004820569 |  0.000000E+00 |             f\n",
+      "   176 |     1850 |      9 |  0.000000E+00 |  0.0004589995 |  0.0048329375 |             f\n",
+      "   177 |     1860 |      9 |  0.000000E+00 |  0.0004281485 |  0.000000E+00 |             f\n",
+      "   178 |     1870 |     10 |  0.000000E+00 |  0.0004195594 |  0.0127326036 |             f\n",
+      "   179 |     1880 |     11 |  0.000000E+00 |  0.0003990061 |  0.0082373173 |             f\n",
+      "   180 |     1890 |     12 |  0.000000E+00 |  0.0003639066 |  0.0013731341 |             f\n",
+      "   181 |     1900 |     12 |  0.000000E+00 |  0.0003347022 |  0.0013731341 |             f\n",
+      "   182 |     1910 |     12 |  0.000000E+00 |  0.0003152164 |  0.0081106550 |             f\n",
+      "   183 |     1920 |     12 |  0.000000E+00 |  0.0002989654 |  0.000000E+00 |             f\n",
+      "   184 |     1930 |     13 |  0.000000E+00 |  0.0002717099 |  0.0016607981 |             f\n",
+      "   185 |     1940 |     13 |  0.000000E+00 |  0.0002695248 |  0.0016607981 |             f\n",
+      "   186 |     1950 |     13 |  0.000000E+00 |  0.0002679692 |  0.0016607981 |             f\n",
+      "   187 |     1960 |     14 |  0.000000E+00 |  0.0002517971 |  0.1866143170 |         ideal\n",
+      "   188 |     1970 |     14 |  0.000000E+00 |  0.0002477474 |  0.000000E+00 |             f\n",
+      "   189 |     1980 |     12 |  0.000000E+00 |  0.0002400944 |  0.0586982120 |         ideal\n",
+      "   190 |     1990 |     12 |  0.000000E+00 |  0.0002273934 |  0.000000E+00 |             f\n",
+      "   191 |     2000 |     12 |  0.000000E+00 |  0.0002117270 |  0.000000E+00 |             f\n",
+      "   192 |     2010 |     12 |  0.000000E+00 |  0.0002117270 |  0.000000E+00 |             f\n",
+      "   193 |     2020 |     13 |  0.000000E+00 |  0.0002003807 |  0.0015742746 |             f\n",
+      "   194 |     2030 |     13 |  0.000000E+00 |  0.0001972437 |  0.0015742746 |             f\n",
+      "   195 |     2040 |     13 |  0.000000E+00 |  0.0001820860 |  0.0015742746 |             f\n",
+      "   196 |     2050 |     14 |  0.000000E+00 |  0.0001764823 |  0.2531842769 |         ideal\n",
+      "   197 |     2060 |     15 |  0.000000E+00 |  0.0001726587 |  0.0018327799 |             f\n",
+      "   198 |     2070 |     15 |  0.000000E+00 |  0.0001693465 |  0.0018327799 |             f\n",
+      "   199 |     2080 |     15 |  0.000000E+00 |  0.0001646093 |  0.0018327799 |             f\n",
+      "   200 |     2090 |     15 |  0.000000E+00 |  0.0001510945 |  0.0018327799 |             f\n",
+      "   201 |     2100 |     15 |  0.000000E+00 |  0.0001460640 |  0.0018327799 |             f\n",
+      "   202 |     2110 |     15 |  0.000000E+00 |  0.0001367918 |  0.0018327799 |             f\n",
+      "   203 |     2120 |     15 |  0.000000E+00 |  0.0001201086 |  0.0018327799 |             f\n",
+      "   204 |     2130 |     15 |  0.000000E+00 |  0.0001196218 |  0.0018327799 |             f\n",
+      "   205 |     2140 |     15 |  0.000000E+00 |  0.0001147117 |  0.0018327799 |             f\n",
+      "   206 |     2150 |     15 |  0.000000E+00 |  0.0001040201 |  0.0023512076 |             f\n",
+      "   207 |     2160 |     15 |  0.000000E+00 |  0.0000941641 |  0.0023512076 |             f\n",
+      "   208 |     2170 |     15 |  0.000000E+00 |  0.0000941641 |  0.0023512076 |             f\n",
+      "   209 |     2180 |     15 |  0.000000E+00 |  0.0000898808 |  0.0023512076 |             f\n",
+      "   210 |     2190 |     16 |  0.000000E+00 |  0.0000755106 |  0.0034929444 |             f\n",
+      "   211 |     2200 |     16 |  0.000000E+00 |  0.0000705600 |  0.000000E+00 |             f\n",
+      "   212 |     2210 |     18 |  0.000000E+00 |  0.0000631494 |  0.0050109911 |             f\n",
+      "   213 |     2220 |     19 |  0.000000E+00 |  0.0000517497 |  0.0002341561 |             f\n",
+      "   214 |     2230 |     21 |  0.000000E+00 |  0.0000459659 |  0.0029898336 |             f\n",
+      "   215 |     2240 |     21 |  0.000000E+00 |  0.0000457595 |  0.000000E+00 |             f\n",
+      "   216 |     2250 |     22 |  0.000000E+00 |  0.0000404278 |  0.0009396681 |             f\n",
+      "   217 |     2260 |     23 |  0.000000E+00 |  0.0000353493 |  0.0009073870 |             f\n",
+      "   218 |     2270 |     23 |  0.000000E+00 |  0.0000293081 |  0.0009073870 |             f\n",
+      "   219 |     2280 |     24 |  0.000000E+00 |  0.0000262969 |  0.0009358290 |             f\n",
+      "   220 |     2290 |     25 |  0.000000E+00 |  0.0000233919 |  0.0020719213 |             f\n",
+      "   221 |     2300 |     25 |  0.000000E+00 |  0.0000233919 |  0.0020719213 |             f\n",
+      "   222 |     2310 |     25 |  0.000000E+00 |  0.0000193384 |  0.0024660993 |             f\n",
+      "   223 |     2320 |     16 |  0.000000E+00 |  0.0000124038 |  0.0188206858 |             f\n",
+      "   224 |     2330 |     16 |  0.000000E+00 |  0.0000100525 |  0.000000E+00 |             f\n",
+      "   225 |     2340 |     17 |  0.000000E+00 |  7.582820E-06 |  0.0368834281 |         ideal\n",
+      "   226 |     2350 |     17 |  0.000000E+00 |  6.173946E-06 |  0.000000E+00 |             f\n",
+      "   227 |     2360 |     17 |  0.000000E+00 |  6.173946E-06 |  0.000000E+00 |             f\n",
+      "   228 |     2370 |     17 |  0.000000E+00 |  4.237562E-06 |  0.000000E+00 |             f\n",
+      "   229 |     2380 |     14 |  0.000000E+00 |  3.334409E-06 |  0.0072984732 |             f\n",
+      "   230 |     2390 |     14 |  0.000000E+00 |  2.152271E-06 |  0.000000E+00 |             f\n",
+      "   231 |     2400 |     15 |  0.000000E+00 |  1.453287E-06 |  0.0025093078 |             f\n",
+      "   232 |     2410 |     16 |  0.000000E+00 |  4.612557E-07 |  0.0049514010 |             f\n",
+      "   233 |     2420 |     17 |  0.000000E+00 |  1.224400E-07 |  0.0065580510 |             f\n",
+      "   234 |     2430 |     18 |  0.000000E+00 |  4.498487E-08 |  0.0036161600 |         ideal\n",
+      "   235 |     2440 |     18 |  0.000000E+00 |  1.527713E-08 |  0.000000E+00 |             f\n",
+      "   236 |     2450 |     20 |  0.000000E+00 |  0.000000E+00 |  0.0034466824 |             f\n",
+      "   237 |     2460 |     22 |  0.000000E+00 |  0.000000E+00 |  0.0031057873 |             f\n",
+      "   238 |     2470 |     22 |  0.000000E+00 |  0.000000E+00 |  0.000000E+00 |             f\n",
+      "   239 |     2480 |     22 |  0.000000E+00 |  0.000000E+00 |  0.000000E+00 |             f\n",
+      "   240 |     2490 |     22 |  0.000000E+00 |  0.000000E+00 |  0.000000E+00 |             f\n",
+      "   241 |     2500 |     22 |  0.000000E+00 |  0.000000E+00 |  0.0062901310 |             f\n",
+      "   242 |     2510 |     22 |  0.000000E+00 |  0.000000E+00 |  0.000000E+00 |             f\n",
+      "   243 |     2520 |     22 |  0.000000E+00 |  0.000000E+00 |  0.000000E+00 |             f\n",
+      "   244 |     2530 |     23 |  0.000000E+00 |  0.000000E+00 |  0.0007073944 |             f\n",
+      "   245 |     2540 |     23 |  0.000000E+00 |  0.000000E+00 |  0.0007073944 |             f\n",
+      "   246 |     2550 |     24 |  0.000000E+00 |  0.000000E+00 |  0.0027841786 |             f\n",
+      "   247 |     2560 |     21 |  0.000000E+00 |  0.000000E+00 |  0.0102207962 |             f\n",
+      "   248 |     2570 |     22 |  0.000000E+00 |  0.000000E+00 |  0.0004704115 |             f\n",
+      "   249 |     2580 |     21 |  0.000000E+00 |  0.000000E+00 |  0.0087153550 |         ideal\n",
+      "   250 |     2590 |     21 |  0.000000E+00 |  0.000000E+00 |  0.000000E+00 |             f\n",
+      "   251 |     2600 |     21 |  0.000000E+00 |  0.000000E+00 |  0.000000E+00 |             f\n",
+      "   252 |     2610 |     21 |  0.000000E+00 |  0.000000E+00 |  0.000000E+00 |             f\n",
+      "   253 |     2620 |     21 |  0.000000E+00 |  0.000000E+00 |  0.000000E+00 |             f\n",
+      "   254 |     2630 |     22 |  0.000000E+00 |  0.000000E+00 |  0.0049276404 |             f\n",
+      "   255 |     2640 |     22 |  0.000000E+00 |  0.000000E+00 |  0.000000E+00 |             f\n",
+      "   256 |     2650 |     22 |  0.000000E+00 |  0.000000E+00 |  0.000000E+00 |             f\n",
+      "   257 |     2660 |     22 |  0.000000E+00 |  0.000000E+00 |  0.000000E+00 |             f\n",
+      "   258 |     2670 |     24 |  0.000000E+00 |  0.000000E+00 |  0.0012521890 |             f\n",
+      "   259 |     2680 |     24 |  0.000000E+00 |  0.000000E+00 |  0.0012521890 |             f\n",
+      "   260 |     2690 |     24 |  0.000000E+00 |  0.000000E+00 |  0.0014619233 |             f\n",
+      "   261 |     2700 |     25 |  0.000000E+00 |  0.000000E+00 |  0.0014511545 |             f\n",
+      "   262 |     2710 |     20 |  0.000000E+00 |  0.000000E+00 |  0.0120108914 |             f\n",
+      "   263 |     2720 |     21 |  0.000000E+00 |  0.000000E+00 |  0.0004055030 |             f\n",
+      "   264 |     2730 |     21 |  0.000000E+00 |  0.000000E+00 |  0.0004055030 |             f\n",
+      "   265 |     2740 |     21 |  0.000000E+00 |  0.000000E+00 |  0.0004913258 |             f\n",
+      "   266 |     2750 |     21 |  0.000000E+00 |  0.000000E+00 |  0.0004913258 |             f\n",
+      "   267 |     2760 |     21 |  0.000000E+00 |  0.000000E+00 |  0.0004913258 |             f\n",
+      "   268 |     2770 |     21 |  0.000000E+00 |  0.000000E+00 |  0.0004913258 |             f\n",
+      "   269 |     2780 |     21 |  0.000000E+00 |  0.000000E+00 |  0.0004913258 |             f\n",
+      "   270 |     2790 |     21 |  0.000000E+00 |  0.000000E+00 |  0.0004913258 |             f\n",
+      "   271 |     2800 |     22 |  0.000000E+00 |  0.000000E+00 |  0.0042824847 |             f\n",
+      "   272 |     2810 |     23 |  0.000000E+00 |  0.000000E+00 |  0.2628679594 |         ideal\n",
+      "   273 |     2820 |     22 |  0.000000E+00 |  0.000000E+00 |  0.0019566388 |             f\n",
+      "   274 |     2830 |     13 |  0.000000E+00 |  0.000000E+00 |  0.0139131922 |             f\n",
+      "   275 |     2840 |     13 |  0.000000E+00 |  0.000000E+00 |  0.000000E+00 |             f\n",
+      "   276 |     2850 |     14 |  0.000000E+00 |  0.000000E+00 |  0.0056858759 |             f\n",
+      "   277 |     2860 |     14 |  0.000000E+00 |  0.000000E+00 |  0.000000E+00 |             f\n",
+      "   278 |     2870 |     12 |  0.000000E+00 |  0.000000E+00 |  0.0177276118 |             f\n",
+      "   279 |     2880 |     13 |  0.000000E+00 |  0.000000E+00 |  0.0006810551 |             f\n",
+      "   280 |     2890 |     14 |  0.000000E+00 |  0.000000E+00 |  0.1227812934 |         ideal\n",
+      "   281 |     2900 |     15 |  0.000000E+00 |  0.000000E+00 |  0.0778719166 |         ideal\n",
+      "   282 |     2910 |     16 |  0.000000E+00 |  0.000000E+00 |  0.0028921671 |             f\n",
+      "   283 |     2920 |     16 |  0.000000E+00 |  0.000000E+00 |  0.000000E+00 |             f\n",
+      "   284 |     2930 |     17 |  0.000000E+00 |  0.000000E+00 |  0.0000513792 |             f\n",
+      "   285 |     2940 |     18 |  0.000000E+00 |  0.000000E+00 |  0.0037899441 |             f\n",
+      "   286 |     2950 |     19 |  0.000000E+00 |  0.000000E+00 |  0.0114040836 |             f\n",
+      "   287 |     2960 |     19 |  0.000000E+00 |  0.000000E+00 |  0.0014376699 |             f\n",
+      "   288 |     2970 |     19 |  0.000000E+00 |  0.000000E+00 |  0.0014376699 |             f\n",
+      "   289 |     2980 |     19 |  0.000000E+00 |  0.000000E+00 |  0.0014376699 |             f\n",
+      "   290 |     2990 |     19 |  0.000000E+00 |  0.000000E+00 |  0.0014376699 |             f\n",
+      "   291 |     3000 |     19 |  0.000000E+00 |  0.000000E+00 |  0.0014376699 |             f\n",
+      "   292 |     3010 |     20 |  0.000000E+00 |  0.000000E+00 |  0.0025085402 |             f\n",
+      "   293 |     3020 |     20 |  0.000000E+00 |  0.000000E+00 |  0.000000E+00 |             f\n",
+      "   294 |     3030 |     20 |  0.000000E+00 |  0.000000E+00 |  1.890374E-08 |             f\n",
+      "   295 |     3040 |     21 |  0.000000E+00 |  0.000000E+00 |  0.0001585916 |             f\n",
+      "   296 |     3050 |     23 |  0.000000E+00 |  0.000000E+00 |  0.0007974541 |             f\n",
+      "   297 |     3060 |     24 |  0.000000E+00 |  0.000000E+00 |  0.0020871626 |             f\n",
+      "   298 |     3070 |     26 |  0.000000E+00 |  0.000000E+00 |  0.0045520260 |             f\n",
+      "   299 |     3080 |     26 |  0.000000E+00 |  0.000000E+00 |  0.000000E+00 |             f\n",
+      "   300 |     3090 |     28 |  0.000000E+00 |  0.000000E+00 |  0.0002976543 |             f\n",
+      "   301 |     3100 |     28 |  0.000000E+00 |  0.000000E+00 |  0.0002976543 |             f\n",
+      "   302 |     3110 |     28 |  0.000000E+00 |  0.000000E+00 |  0.0024937323 |             f\n",
+      "   303 |     3120 |     28 |  0.000000E+00 |  0.000000E+00 |  0.0024937323 |             f\n",
+      "   304 |     3130 |     29 |  0.000000E+00 |  0.000000E+00 |  0.0026634079 |             f\n",
+      "   305 |     3140 |     25 |  0.000000E+00 |  0.000000E+00 |  0.0077011651 |             f\n",
+      "   306 |     3150 |     26 |  0.000000E+00 |  0.000000E+00 |  0.0334477848 |         ideal\n",
+      "   307 |     3160 |     17 |  0.000000E+00 |  0.000000E+00 |  0.0088266842 |             f\n",
+      "   308 |     3170 |     18 |  0.000000E+00 |  0.000000E+00 |  0.0004371432 |             f\n",
+      "   309 |     3180 |     19 |  0.000000E+00 |  0.000000E+00 |  0.0060627526 |             f\n",
+      "   310 |     3190 |     21 |  0.000000E+00 |  0.000000E+00 |  0.0005074357 |             f\n",
+      "   311 |     3200 |     21 |  0.000000E+00 |  0.000000E+00 |  0.0005074357 |             f\n",
+      "   312 |     3210 |     17 |  0.000000E+00 |  0.000000E+00 |  0.0164194041 |             f\n",
+      "   313 |     3220 |     17 |  0.000000E+00 |  0.000000E+00 |  0.000000E+00 |             f\n",
+      "   314 |     3230 |     17 |  0.000000E+00 |  0.000000E+00 |  0.000000E+00 |             f\n",
+      "   315 |     3240 |     17 |  0.000000E+00 |  0.000000E+00 |  0.000000E+00 |             f\n",
+      "   316 |     3250 |     18 |  0.000000E+00 |  0.000000E+00 |  0.0020725090 |             f\n",
+      "   317 |     3260 |     19 |  0.000000E+00 |  0.000000E+00 |  0.0047222013 |             f\n",
+      "   318 |     3270 |     20 |  0.000000E+00 |  0.000000E+00 |  0.0000589877 |             f\n",
+      "   319 |     3280 |     20 |  0.000000E+00 |  0.000000E+00 |  0.0000589877 |             f\n",
+      "   320 |     3290 |     23 |  0.000000E+00 |  0.000000E+00 |  0.0049232943 |             f\n",
+      "   321 |     3300 |     24 |  0.000000E+00 |  0.000000E+00 |  0.0032466862 |             f\n",
+      "   322 |     3310 |     25 |  0.000000E+00 |  0.000000E+00 |  0.0019206722 |             f\n",
+      "   323 |     3320 |     23 |  0.000000E+00 |  0.000000E+00 |  0.0096898151 |         ideal\n",
+      "   324 |     3330 |     23 |  0.000000E+00 |  0.000000E+00 |  0.0186928058 |         ideal\n",
+      "   325 |     3340 |     24 |  0.000000E+00 |  0.000000E+00 |  0.0030877299 |             f\n",
+      "   326 |     3350 |     25 |  0.000000E+00 |  0.000000E+00 |  0.0000187530 |             f\n",
+      "   327 |     3360 |     28 |  0.000000E+00 |  0.000000E+00 |  0.0003813418 |             f\n",
+      "   328 |     3370 |     28 |  0.000000E+00 |  0.000000E+00 |  0.0003813418 |             f\n",
+      "   329 |     3380 |     29 |  0.000000E+00 |  0.000000E+00 |  0.0004051810 |             f\n",
+      "   330 |     3390 |     26 |  0.000000E+00 |  0.000000E+00 |  0.0074600595 |             f\n",
+      "   331 |     3400 |     28 |  0.000000E+00 |  0.000000E+00 |  0.0003883344 |             f\n",
+      "   332 |     3410 |     31 |  0.000000E+00 |  0.000000E+00 |  0.0022125594 |             f\n",
+      "   333 |     3420 |     34 |  0.000000E+00 |  0.000000E+00 |  0.0032048146 |             f\n",
+      "   334 |     3430 |     34 |  0.000000E+00 |  0.000000E+00 |  0.0011343458 |             f\n",
+      "   335 |     3440 |     36 |  0.000000E+00 |  0.000000E+00 |  0.0023627333 |             f\n",
+      "   336 |     3450 |     37 |  0.000000E+00 |  0.000000E+00 |  0.0024812121 |             f\n",
+      "   337 |     3460 |     38 |  0.000000E+00 |  0.000000E+00 |  0.0034749182 |             f\n",
+      "   338 |     3470 |     39 |  0.000000E+00 |  0.000000E+00 |  0.0009606548 |             f\n",
+      "   339 |     3480 |     40 |  0.000000E+00 |  0.000000E+00 |  0.0011192431 |             f\n",
+      "   340 |     3490 |     40 |  0.000000E+00 |  0.000000E+00 |  0.0011192431 |             f\n",
+      "   341 |     3500 |     41 |  0.000000E+00 |  0.000000E+00 |  0.0017966542 |             f\n",
+      "   342 |     3510 |     42 |  0.000000E+00 |  0.000000E+00 |  0.0023396810 |             f\n",
+      "   343 |     3520 |     42 |  0.000000E+00 |  0.000000E+00 |  0.0024133121 |             f\n",
+      "   344 |     3530 |     42 |  0.000000E+00 |  0.000000E+00 |  0.0024133121 |             f\n",
+      "   345 |     3540 |     43 |  0.000000E+00 |  0.000000E+00 |  0.0067214943 |             f\n",
+      "   346 |     3550 |     44 |  0.000000E+00 |  0.000000E+00 |  0.0000581027 |             f\n",
+      "   347 |     3560 |     36 |  0.000000E+00 |  0.000000E+00 |  0.0027581903 |             f\n",
+      "   348 |     3570 |     39 |  0.000000E+00 |  0.000000E+00 |  0.0020639587 |             f\n",
+      "   349 |     3580 |     41 |  0.000000E+00 |  0.000000E+00 |  0.0034473143 |             f\n",
+      "   350 |     3590 |     43 |  0.000000E+00 |  0.000000E+00 |  0.3737648513 |         nadir\n",
+      "   351 |     3600 |     43 |  0.000000E+00 |  0.000000E+00 |  0.0959918794 |         ideal\n",
+      "   352 |     3610 |     43 |  0.000000E+00 |  0.000000E+00 |  0.000000E+00 |             f\n",
+      "   353 |     3620 |     44 |  0.000000E+00 |  0.000000E+00 |  0.0001827062 |             f\n",
+      "   354 |     3630 |     42 |  0.000000E+00 |  0.000000E+00 |  0.0005031950 |             f\n",
+      "   355 |     3640 |     42 |  0.000000E+00 |  0.000000E+00 |  0.0005031950 |             f\n",
+      "   356 |     3650 |     41 |  0.000000E+00 |  0.000000E+00 |  0.0011539410 |             f\n",
+      "   357 |     3660 |     42 |  0.000000E+00 |  0.000000E+00 |  0.0014863495 |             f\n",
+      "   358 |     3670 |     39 |  0.000000E+00 |  0.000000E+00 |  0.0050681597 |         nadir\n",
+      "   359 |     3680 |     39 |  0.000000E+00 |  0.000000E+00 |  0.1707277868 |         ideal\n",
+      "   360 |     3690 |     41 |  0.000000E+00 |  0.000000E+00 |  0.0003530483 |             f\n",
+      "   361 |     3700 |     42 |  0.000000E+00 |  0.000000E+00 |  0.0004587513 |             f\n",
+      "   362 |     3710 |     42 |  0.000000E+00 |  0.000000E+00 |  0.0004587513 |             f\n",
+      "   363 |     3720 |     44 |  0.000000E+00 |  0.000000E+00 |  0.0009252151 |             f\n",
+      "   364 |     3730 |     36 |  0.000000E+00 |  0.000000E+00 |  0.0040642825 |             f\n",
+      "   365 |     3740 |     36 |  0.000000E+00 |  0.000000E+00 |  0.0000542954 |             f\n",
+      "   366 |     3750 |     37 |  0.000000E+00 |  0.000000E+00 |  0.0026102092 |             f\n",
+      "   367 |     3760 |     40 |  0.000000E+00 |  0.000000E+00 |  0.0005837968 |             f\n",
+      "   368 |     3770 |     38 |  0.000000E+00 |  0.000000E+00 |  0.0013409574 |             f\n",
+      "   369 |     3780 |     39 |  0.000000E+00 |  0.000000E+00 |  0.0021863248 |             f\n",
+      "   370 |     3790 |     42 |  0.000000E+00 |  0.000000E+00 |  0.0036331928 |             f\n",
+      "   371 |     3800 |     43 |  0.000000E+00 |  0.000000E+00 |  0.0006128432 |             f\n",
+      "   372 |     3810 |     44 |  0.000000E+00 |  0.000000E+00 |  0.0016778697 |             f\n",
+      "   373 |     3820 |     45 |  0.000000E+00 |  0.000000E+00 |  0.0031132127 |             f\n",
+      "   374 |     3830 |     47 |  0.000000E+00 |  0.000000E+00 |  0.0010847343 |             f\n",
+      "   375 |     3840 |     42 |  0.000000E+00 |  0.000000E+00 |  0.0025466326 |             f\n",
+      "   376 |     3850 |     46 |  0.000000E+00 |  0.000000E+00 |  0.0017432424 |             f\n",
+      "   377 |     3860 |     47 |  0.000000E+00 |  0.000000E+00 |  0.0019967026 |             f\n",
+      "   378 |     3870 |     49 |  0.000000E+00 |  0.000000E+00 |  0.0022143058 |             f\n",
+      "   379 |     3880 |     50 |  0.000000E+00 |  0.000000E+00 |  0.0033127202 |             f\n",
+      "   380 |     3890 |     45 |  0.000000E+00 |  0.000000E+00 |  0.0693835875 |         ideal\n",
+      "   381 |     3900 |     46 |  0.000000E+00 |  0.000000E+00 |  0.0005588113 |             f\n",
+      "   382 |     3910 |     34 |  0.000000E+00 |  0.000000E+00 |  0.0052060381 |             f\n",
+      "   383 |     3920 |     35 |  0.000000E+00 |  0.000000E+00 |  0.0010469236 |             f\n",
+      "   384 |     3930 |     34 |  0.000000E+00 |  0.000000E+00 |  0.0044564383 |             f\n",
+      "   385 |     3940 |     35 |  0.000000E+00 |  0.000000E+00 |  0.0009714076 |             f\n",
+      "   386 |     3950 |     36 |  0.000000E+00 |  0.000000E+00 |  0.0026340331 |             f\n",
+      "   387 |     3960 |     38 |  0.000000E+00 |  0.000000E+00 |  0.0021232923 |             f\n",
+      "   388 |     3970 |     39 |  0.000000E+00 |  0.000000E+00 |  0.0021352016 |             f\n",
+      "   389 |     3980 |     38 |  0.000000E+00 |  0.000000E+00 |  0.0021532031 |             f\n",
+      "   390 |     3990 |     35 |  0.000000E+00 |  0.000000E+00 |  0.0342738739 |         ideal\n",
+      "   391 |     4000 |     37 |  0.000000E+00 |  0.000000E+00 |  0.0002385872 |             f\n",
+      "   392 |     4010 |     38 |  0.000000E+00 |  0.000000E+00 |  0.0002432326 |             f\n",
+      "   393 |     4020 |     35 |  0.000000E+00 |  0.000000E+00 |  0.0367409166 |         nadir\n",
+      "   394 |     4030 |     37 |  0.000000E+00 |  0.000000E+00 |  0.0681052659 |         ideal\n",
+      "   395 |     4040 |     40 |  0.000000E+00 |  0.000000E+00 |  0.0080936389 |         ideal\n",
+      "   396 |     4050 |     41 |  0.000000E+00 |  0.000000E+00 |  0.0011086816 |             f\n",
+      "   397 |     4060 |     40 |  0.000000E+00 |  0.000000E+00 |  0.0019510898 |             f\n",
+      "   398 |     4070 |     43 |  0.000000E+00 |  0.000000E+00 |  0.0020048872 |             f\n",
+      "   399 |     4080 |     43 |  0.000000E+00 |  0.000000E+00 |  0.0021097063 |             f\n",
+      "   400 |     4090 |     46 |  0.000000E+00 |  0.000000E+00 |  0.0056622440 |         ideal\n",
+      "   401 |     4100 |     47 |  0.000000E+00 |  0.000000E+00 |  0.0002251642 |             f\n",
+      "   402 |     4110 |     49 |  0.000000E+00 |  0.000000E+00 |  0.0005152044 |             f\n",
+      "   403 |     4120 |     49 |  0.000000E+00 |  0.000000E+00 |  0.0018891761 |             f\n",
+      "   404 |     4130 |     51 |  0.000000E+00 |  0.000000E+00 |  0.0035430343 |             f\n",
+      "   405 |     4140 |     47 |  0.000000E+00 |  0.000000E+00 |  0.0023313032 |             f\n",
+      "   406 |     4150 |     48 |  0.000000E+00 |  0.000000E+00 |  0.0023034762 |             f\n",
+      "   407 |     4160 |     47 |  0.000000E+00 |  0.000000E+00 |  0.0028228099 |             f\n",
+      "   408 |     4170 |     46 |  0.000000E+00 |  0.000000E+00 |  0.0218841554 |         ideal\n",
+      "   409 |     4180 |     44 |  0.000000E+00 |  0.000000E+00 |  0.0002779312 |             f\n",
+      "   410 |     4190 |     45 |  0.000000E+00 |  0.000000E+00 |  0.0032508091 |             f\n",
+      "   411 |     4200 |     45 |  0.000000E+00 |  0.000000E+00 |  0.0002971980 |             f\n",
+      "   412 |     4210 |     46 |  0.000000E+00 |  0.000000E+00 |  0.0010232045 |             f\n",
+      "   413 |     4220 |     47 |  0.000000E+00 |  0.000000E+00 |  0.0015820404 |             f\n",
+      "   414 |     4230 |     46 |  0.000000E+00 |  0.000000E+00 |  0.0022629803 |             f\n",
+      "   415 |     4240 |     48 |  0.000000E+00 |  0.000000E+00 |  0.0026776537 |             f\n",
+      "   416 |     4250 |     50 |  0.000000E+00 |  0.000000E+00 |  0.0781107611 |         ideal\n",
+      "   417 |     4260 |     44 |  0.000000E+00 |  0.000000E+00 |  0.0019728728 |             f\n",
+      "   418 |     4270 |     43 |  0.000000E+00 |  0.000000E+00 |  0.0466888297 |         ideal\n",
+      "   419 |     4280 |     45 |  0.000000E+00 |  0.000000E+00 |  0.0018110847 |             f\n",
+      "   420 |     4290 |     48 |  0.000000E+00 |  0.000000E+00 |  0.0026131925 |             f\n",
+      "   421 |     4300 |     48 |  0.000000E+00 |  0.000000E+00 |  0.0004161738 |             f\n",
+      "   422 |     4310 |     49 |  0.000000E+00 |  0.000000E+00 |  0.0006541563 |             f\n",
+      "   423 |     4320 |     50 |  0.000000E+00 |  0.000000E+00 |  0.0011725700 |             f\n",
+      "   424 |     4330 |     53 |  0.000000E+00 |  0.000000E+00 |  0.0030804016 |             f\n",
+      "   425 |     4340 |     55 |  0.000000E+00 |  0.000000E+00 |  0.1346897754 |         nadir\n",
+      "   426 |     4350 |     55 |  0.000000E+00 |  0.000000E+00 |  0.000000E+00 |             f\n",
+      "   427 |     4360 |     55 |  0.000000E+00 |  0.000000E+00 |  0.0011200410 |             f\n",
+      "   428 |     4370 |     55 |  0.000000E+00 |  0.000000E+00 |  0.0011200410 |             f\n",
+      "   429 |     4380 |     57 |  0.000000E+00 |  0.000000E+00 |  0.0021120861 |             f\n",
+      "   430 |     4390 |     53 |  0.000000E+00 |  0.000000E+00 |  0.0169420607 |         ideal\n",
+      "   431 |     4400 |     53 |  0.000000E+00 |  0.000000E+00 |  0.0006657371 |             f\n",
+      "   432 |     4410 |     54 |  0.000000E+00 |  0.000000E+00 |  0.0017698096 |             f\n",
+      "   433 |     4420 |     56 |  0.000000E+00 |  0.000000E+00 |  0.0034499359 |             f\n",
+      "   434 |     4430 |     54 |  0.000000E+00 |  0.000000E+00 |  0.0001383073 |             f\n",
+      "   435 |     4440 |     50 |  0.000000E+00 |  0.000000E+00 |  0.0010295034 |             f\n",
+      "   436 |     4450 |     52 |  0.000000E+00 |  0.000000E+00 |  0.0011329041 |             f\n",
+      "   437 |     4460 |     54 |  0.000000E+00 |  0.000000E+00 |  0.0017734762 |             f\n",
+      "   438 |     4470 |     57 |  0.000000E+00 |  0.000000E+00 |  0.0030620554 |             f\n",
+      "   439 |     4480 |     60 |  0.000000E+00 |  0.000000E+00 |  0.0004078137 |             f\n",
+      "   440 |     4490 |     61 |  0.000000E+00 |  0.000000E+00 |  0.0009075316 |             f\n",
+      "   441 |     4500 |     60 |  0.000000E+00 |  0.000000E+00 |  0.0023285213 |             f\n",
+      "   442 |     4510 |     60 |  0.000000E+00 |  0.000000E+00 |  0.0376656874 |         ideal\n",
+      "   443 |     4520 |     61 |  0.000000E+00 |  0.000000E+00 |  0.0007036472 |             f\n",
+      "   444 |     4530 |     62 |  0.000000E+00 |  0.000000E+00 |  0.0010596705 |             f\n",
+      "   445 |     4540 |     62 |  0.000000E+00 |  0.000000E+00 |  0.0010764392 |             f\n",
+      "   446 |     4550 |     61 |  0.000000E+00 |  0.000000E+00 |  0.0016912296 |             f\n",
+      "   447 |     4560 |     64 |  0.000000E+00 |  0.000000E+00 |  0.0020558107 |             f\n",
+      "   448 |     4570 |     65 |  0.000000E+00 |  0.000000E+00 |  0.0021069382 |             f\n",
+      "   449 |     4580 |     58 |  0.000000E+00 |  0.000000E+00 |  0.0031550567 |             f\n",
+      "   450 |     4590 |     59 |  0.000000E+00 |  0.000000E+00 |  0.0002812610 |             f\n",
+      "   451 |     4600 |     61 |  0.000000E+00 |  0.000000E+00 |  0.0009210786 |             f\n",
+      "   452 |     4610 |     63 |  0.000000E+00 |  0.000000E+00 |  0.0024069822 |             f\n",
+      "   453 |     4620 |     67 |  0.000000E+00 |  0.000000E+00 |  0.0034545210 |             f\n",
+      "   454 |     4630 |     68 |  0.000000E+00 |  0.000000E+00 |  0.0011240892 |             f\n",
+      "   455 |     4640 |     70 |  0.000000E+00 |  0.000000E+00 |  0.0015712833 |             f\n",
+      "   456 |     4650 |     62 |  0.000000E+00 |  0.000000E+00 |  0.0025083431 |             f\n",
+      "   457 |     4660 |     54 |  0.000000E+00 |  0.000000E+00 |  0.0024781902 |             f\n",
+      "   458 |     4670 |     52 |  0.000000E+00 |  0.000000E+00 |  0.0042190442 |             f\n",
+      "   459 |     4680 |     55 |  0.000000E+00 |  0.000000E+00 |  0.0008810059 |             f\n",
+      "   460 |     4690 |     56 |  0.000000E+00 |  0.000000E+00 |  0.0019992381 |             f\n",
+      "   461 |     4700 |     57 |  0.000000E+00 |  0.000000E+00 |  0.0027297052 |             f\n",
+      "   462 |     4710 |     62 |  0.000000E+00 |  0.000000E+00 |  0.0014856740 |             f\n",
+      "   463 |     4720 |     64 |  0.000000E+00 |  0.000000E+00 |  0.0024085095 |             f\n",
+      "   464 |     4730 |     59 |  0.000000E+00 |  0.000000E+00 |  0.0088530645 |         ideal\n",
+      "   465 |     4740 |     63 |  0.000000E+00 |  0.000000E+00 |  0.0010224815 |             f\n",
+      "   466 |     4750 |     64 |  0.000000E+00 |  0.000000E+00 |  0.0019061310 |             f\n",
+      "   467 |     4760 |     66 |  0.000000E+00 |  0.000000E+00 |  0.0030205489 |             f\n",
+      "   468 |     4770 |     65 |  0.000000E+00 |  0.000000E+00 |  0.0328386912 |         ideal\n",
+      "   469 |     4780 |     67 |  0.000000E+00 |  0.000000E+00 |  0.0000673896 |             f\n",
+      "   470 |     4790 |     72 |  0.000000E+00 |  0.000000E+00 |  0.0010108212 |             f\n",
+      "   471 |     4800 |     73 |  0.000000E+00 |  0.000000E+00 |  0.0022600280 |             f\n",
+      "   472 |     4810 |     73 |  0.000000E+00 |  0.000000E+00 |  0.0038226020 |             f\n",
+      "   473 |     4820 |     74 |  0.000000E+00 |  0.000000E+00 |  0.0001160536 |             f\n",
+      "   474 |     4830 |     69 |  0.000000E+00 |  0.000000E+00 |  0.0013687747 |             f\n",
+      "   475 |     4840 |     71 |  0.000000E+00 |  0.000000E+00 |  0.0022650669 |             f\n",
+      "   476 |     4850 |     75 |  0.000000E+00 |  0.000000E+00 |  0.0027442462 |             f\n",
+      "   477 |     4860 |     78 |  0.000000E+00 |  0.000000E+00 |  0.0003195153 |             f\n",
+      "   478 |     4870 |     78 |  0.000000E+00 |  0.000000E+00 |  0.0057927822 |         ideal\n",
+      "   479 |     4880 |     77 |  0.000000E+00 |  0.000000E+00 |  0.0005189015 |             f\n",
+      "   480 |     4890 |     73 |  0.000000E+00 |  0.000000E+00 |  0.0012455467 |             f\n",
+      "   481 |     4900 |     78 |  0.000000E+00 |  0.000000E+00 |  0.0020506702 |             f\n",
+      "   482 |     4910 |     81 |  0.000000E+00 |  0.000000E+00 |  0.0023539052 |             f\n",
+      "   483 |     4920 |     77 |  0.000000E+00 |  0.000000E+00 |  0.0032204303 |             f\n",
+      "   484 |     4930 |     71 |  0.000000E+00 |  0.000000E+00 |  0.0005921380 |             f\n",
+      "   485 |     4940 |     67 |  0.000000E+00 |  0.000000E+00 |  0.0018735328 |             f\n",
+      "   486 |     4950 |     69 |  0.000000E+00 |  0.000000E+00 |  0.0019391748 |             f\n",
+      "   487 |     4960 |     74 |  0.000000E+00 |  0.000000E+00 |  0.0024047183 |             f\n",
+      "   488 |     4970 |     76 |  0.000000E+00 |  0.000000E+00 |  0.0024627532 |             f\n",
+      "   489 |     4980 |     78 |  0.000000E+00 |  0.000000E+00 |  0.0027965359 |             f\n",
+      "   490 |     4990 |     80 |  0.000000E+00 |  0.000000E+00 |  0.0113367161 |         ideal\n",
+      "   491 |     5000 |     84 |  0.000000E+00 |  0.000000E+00 |  0.0000603010 |             f\n",
+      "   492 |     5010 |     82 |  0.000000E+00 |  0.000000E+00 |  0.0004963520 |             f\n",
+      "   493 |     5020 |     85 |  0.000000E+00 |  0.000000E+00 |  0.0007467591 |             f\n",
+      "   494 |     5030 |     87 |  0.000000E+00 |  0.000000E+00 |  0.0007309343 |             f\n",
+      "   495 |     5040 |     83 |  0.000000E+00 |  0.000000E+00 |  0.0012158234 |             f\n",
+      "   496 |     5050 |     85 |  0.000000E+00 |  0.000000E+00 |  0.0015507645 |             f\n",
+      "   497 |     5060 |     89 |  0.000000E+00 |  0.000000E+00 |  0.0017300387 |             f\n",
+      "   498 |     5070 |     89 |  0.000000E+00 |  0.000000E+00 |  0.0021259854 |             f\n",
+      "   499 |     5080 |     91 |  0.000000E+00 |  0.000000E+00 |  0.0147807447 |         ideal\n",
+      "   500 |     5090 |     93 |  0.000000E+00 |  0.000000E+00 |  0.0001392397 |             f\n",
+      "   501 |     5100 |     96 |  0.000000E+00 |  0.000000E+00 |  0.0011565960 |             f\n",
+      "   502 |     5110 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0018989819 |             f\n",
+      "   503 |     5120 |     91 |  0.000000E+00 |  0.000000E+00 |  0.0022017592 |             f\n",
+      "   504 |     5130 |     92 |  0.000000E+00 |  0.000000E+00 |  0.0025147623 |             f\n",
+      "   505 |     5140 |     93 |  0.000000E+00 |  0.000000E+00 |  0.0003746493 |             f\n",
+      "   506 |     5150 |     88 |  0.000000E+00 |  0.000000E+00 |  0.0125221928 |         nadir\n",
+      "   507 |     5160 |     90 |  0.000000E+00 |  0.000000E+00 |  0.0003763667 |             f\n",
+      "   508 |     5170 |     91 |  0.000000E+00 |  0.000000E+00 |  0.0076383889 |         ideal\n",
+      "   509 |     5180 |     92 |  0.000000E+00 |  0.000000E+00 |  0.0000181562 |             f\n",
+      "   510 |     5190 |     94 |  0.000000E+00 |  0.000000E+00 |  0.0002268591 |             f\n",
+      "   511 |     5200 |     95 |  0.000000E+00 |  0.000000E+00 |  0.0005095424 |             f\n",
+      "   512 |     5210 |     97 |  0.000000E+00 |  0.000000E+00 |  0.0005540296 |             f\n",
+      "   513 |     5220 |     98 |  0.000000E+00 |  0.000000E+00 |  0.0006109279 |             f\n",
+      "   514 |     5230 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0010592993 |             f\n",
+      "   515 |     5240 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0012065756 |             f\n",
+      "   516 |     5250 |     95 |  0.000000E+00 |  0.000000E+00 |  0.0091885643 |         ideal\n",
+      "   517 |     5260 |     99 |  0.000000E+00 |  0.000000E+00 |  0.0003552306 |             f\n",
+      "   518 |     5270 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0007194613 |             f\n",
+      "   519 |     5280 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0010599993 |             f\n",
+      "   520 |     5290 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0015951336 |             f\n",
+      "   521 |     5300 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0018692662 |             f\n",
+      "   522 |     5310 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0025691323 |             f\n",
+      "   523 |     5320 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0005244435 |             f\n",
+      "   524 |     5330 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0006450592 |             f\n",
+      "   525 |     5340 |     92 |  0.000000E+00 |  0.000000E+00 |  0.0016366406 |             f\n",
+      "   526 |     5350 |     98 |  0.000000E+00 |  0.000000E+00 |  0.0019351645 |             f\n",
+      "   527 |     5360 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0020734364 |             f\n",
+      "   528 |     5370 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0025024788 |             f\n",
+      "   529 |     5380 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0006454848 |             f\n",
+      "   530 |     5390 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0008047247 |             f\n",
+      "   531 |     5400 |     95 |  0.000000E+00 |  0.000000E+00 |  0.0015925700 |             f\n",
+      "   532 |     5410 |     94 |  0.000000E+00 |  0.000000E+00 |  0.0019825832 |             f\n",
+      "   533 |     5420 |     93 |  0.000000E+00 |  0.000000E+00 |  0.0023022524 |             f\n",
+      "   534 |     5430 |     95 |  0.000000E+00 |  0.000000E+00 |  0.0028208887 |             f\n",
+      "   535 |     5440 |     97 |  0.000000E+00 |  0.000000E+00 |  0.0001989263 |             f\n",
+      "   536 |     5450 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0128002253 |         ideal\n",
+      "   537 |     5460 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0003244032 |             f\n",
+      "   538 |     5470 |     99 |  0.000000E+00 |  0.000000E+00 |  0.0007396470 |             f\n",
+      "   539 |     5480 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0013423485 |             f\n",
+      "   540 |     5490 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0013240733 |             f\n",
+      "   541 |     5500 |     96 |  0.000000E+00 |  0.000000E+00 |  0.0019648411 |             f\n",
+      "   542 |     5510 |     91 |  0.000000E+00 |  0.000000E+00 |  0.0024591213 |             f\n",
+      "   543 |     5520 |     95 |  0.000000E+00 |  0.000000E+00 |  0.0025015699 |             f\n",
+      "   544 |     5530 |     97 |  0.000000E+00 |  0.000000E+00 |  0.0006487028 |             f\n",
+      "   545 |     5540 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0010580392 |             f\n",
+      "   546 |     5550 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0012979786 |             f\n",
+      "   547 |     5560 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0013429942 |             f\n",
+      "   548 |     5570 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0017220451 |             f\n",
+      "   549 |     5580 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0020467058 |             f\n",
+      "   550 |     5590 |     88 |  0.000000E+00 |  0.000000E+00 |  0.0039483532 |             f\n",
+      "   551 |     5600 |     91 |  0.000000E+00 |  0.000000E+00 |  0.0003634547 |             f\n",
+      "   552 |     5610 |     88 |  0.000000E+00 |  0.000000E+00 |  0.0012829573 |             f\n",
+      "   553 |     5620 |     89 |  0.000000E+00 |  0.000000E+00 |  0.0013983910 |             f\n",
+      "   554 |     5630 |     86 |  0.000000E+00 |  0.000000E+00 |  0.0025127564 |             f\n",
+      "   555 |     5640 |     89 |  0.000000E+00 |  0.000000E+00 |  0.0001131442 |             f\n",
+      "   556 |     5650 |     93 |  0.000000E+00 |  0.000000E+00 |  0.0009668121 |             f\n",
+      "   557 |     5660 |     91 |  0.000000E+00 |  0.000000E+00 |  0.0019516455 |             f\n",
+      "   558 |     5670 |     93 |  0.000000E+00 |  0.000000E+00 |  0.0025319809 |             f\n",
+      "   559 |     5680 |     91 |  0.000000E+00 |  0.000000E+00 |  0.0008877599 |             f\n",
+      "   560 |     5690 |     94 |  0.000000E+00 |  0.000000E+00 |  0.0009307885 |             f\n",
+      "   561 |     5700 |     88 |  0.000000E+00 |  0.000000E+00 |  0.0066397687 |         ideal\n",
+      "   562 |     5710 |     92 |  0.000000E+00 |  0.000000E+00 |  0.0003273607 |             f\n",
+      "   563 |     5720 |     95 |  0.000000E+00 |  0.000000E+00 |  0.0007510076 |             f\n",
+      "   564 |     5730 |     96 |  0.000000E+00 |  0.000000E+00 |  0.0009244037 |             f\n",
+      "   565 |     5740 |     89 |  0.000000E+00 |  0.000000E+00 |  0.0021990222 |             f\n",
+      "   566 |     5750 |     85 |  0.000000E+00 |  0.000000E+00 |  0.0182059232 |         ideal\n",
+      "   567 |     5760 |     89 |  0.000000E+00 |  0.000000E+00 |  0.0005708127 |             f\n",
+      "   568 |     5770 |     92 |  0.000000E+00 |  0.000000E+00 |  0.0009455613 |             f\n",
+      "   569 |     5780 |     90 |  0.000000E+00 |  0.000000E+00 |  0.0014874688 |             f\n",
+      "   570 |     5790 |     82 |  0.000000E+00 |  0.000000E+00 |  0.0031107465 |             f\n",
+      "   571 |     5800 |     74 |  0.000000E+00 |  0.000000E+00 |  0.0017928110 |             f\n",
+      "   572 |     5810 |     78 |  0.000000E+00 |  0.000000E+00 |  0.0022267634 |             f\n",
+      "   573 |     5820 |     81 |  0.000000E+00 |  0.000000E+00 |  0.0026524066 |             f\n",
+      "   574 |     5830 |     85 |  0.000000E+00 |  0.000000E+00 |  0.0006394543 |             f\n",
+      "   575 |     5840 |     88 |  0.000000E+00 |  0.000000E+00 |  0.0014461657 |             f\n",
+      "   576 |     5850 |     92 |  0.000000E+00 |  0.000000E+00 |  0.0015383435 |             f\n",
+      "   577 |     5860 |     89 |  0.000000E+00 |  0.000000E+00 |  0.0020253805 |             f\n",
+      "   578 |     5870 |     91 |  0.000000E+00 |  0.000000E+00 |  0.0319086660 |         ideal\n",
+      "   579 |     5880 |     94 |  0.000000E+00 |  0.000000E+00 |  0.0002612974 |             f\n",
+      "   580 |     5890 |     96 |  0.000000E+00 |  0.000000E+00 |  0.0003075611 |             f\n",
+      "   581 |     5900 |     98 |  0.000000E+00 |  0.000000E+00 |  0.0007014008 |             f\n",
+      "   582 |     5910 |     99 |  0.000000E+00 |  0.000000E+00 |  0.0009045782 |             f\n",
+      "   583 |     5920 |     94 |  0.000000E+00 |  0.000000E+00 |  0.0013683449 |             f\n",
+      "   584 |     5930 |     96 |  0.000000E+00 |  0.000000E+00 |  0.0014180691 |             f\n",
+      "   585 |     5940 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0016158760 |             f\n",
+      "   586 |     5950 |     96 |  0.000000E+00 |  0.000000E+00 |  0.0021276241 |             f\n",
+      "   587 |     5960 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0052370568 |         ideal\n",
+      "   588 |     5970 |     98 |  0.000000E+00 |  0.000000E+00 |  0.0005261667 |             f\n",
+      "   589 |     5980 |     95 |  0.000000E+00 |  0.000000E+00 |  0.0009452956 |             f\n",
+      "   590 |     5990 |     85 |  0.000000E+00 |  0.000000E+00 |  0.0018565823 |             f\n",
+      "   591 |     6000 |     87 |  0.000000E+00 |  0.000000E+00 |  0.0018466501 |             f\n",
+      "   592 |     6010 |     88 |  0.000000E+00 |  0.000000E+00 |  0.0027032780 |             f\n",
+      "   593 |     6020 |     91 |  0.000000E+00 |  0.000000E+00 |  0.0002123404 |             f\n",
+      "   594 |     6030 |     91 |  0.000000E+00 |  0.000000E+00 |  0.0010077948 |             f\n",
+      "   595 |     6040 |     94 |  0.000000E+00 |  0.000000E+00 |  0.0012453470 |             f\n",
+      "   596 |     6050 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0013706170 |             f\n",
+      "   597 |     6060 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0019832146 |             f\n",
+      "   598 |     6070 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0022437745 |             f\n",
+      "   599 |     6080 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0027287424 |             f\n",
+      "   600 |     6090 |     99 |  0.000000E+00 |  0.000000E+00 |  0.0002560140 |             f\n",
+      "   601 |     6100 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0044375539 |         ideal\n",
+      "   602 |     6110 |     98 |  0.000000E+00 |  0.000000E+00 |  0.0135528704 |         ideal\n",
+      "   603 |     6120 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0002444250 |             f\n",
+      "   604 |     6130 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0005525433 |             f\n",
+      "   605 |     6140 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0007556390 |             f\n",
+      "   606 |     6150 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0009690871 |             f\n",
+      "   607 |     6160 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0010082886 |             f\n",
+      "   608 |     6170 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0013145943 |             f\n",
+      "   609 |     6180 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0017150702 |             f\n",
+      "   610 |     6190 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0018311984 |             f\n",
+      "   611 |     6200 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0051273277 |         ideal\n",
+      "   612 |     6210 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0000969863 |             f\n",
+      "   613 |     6220 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0004072636 |             f\n",
+      "   614 |     6230 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0005914263 |             f\n",
+      "   615 |     6240 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0009569208 |             f\n",
+      "   616 |     6250 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0012882476 |             f\n",
+      "   617 |     6260 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0039383106 |         ideal\n",
+      "   618 |     6270 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0001884830 |             f\n",
+      "   619 |     6280 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0002877243 |             f\n",
+      "   620 |     6290 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0003662997 |             f\n",
+      "   621 |     6300 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0004721649 |             f\n",
+      "   622 |     6310 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0005192698 |             f\n",
+      "   623 |     6320 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0007818212 |             f\n",
+      "   624 |     6330 |     99 |  0.000000E+00 |  0.000000E+00 |  0.0009592943 |             f\n",
+      "   625 |     6340 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0015236521 |             f\n",
+      "   626 |     6350 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0019180493 |             f\n",
+      "   627 |     6360 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0024109966 |             f\n",
+      "   628 |     6370 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0028380329 |             f\n",
+      "   629 |     6380 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0000272127 |             f\n",
+      "   630 |     6390 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0084037417 |         nadir\n",
+      "   631 |     6400 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0344384757 |         ideal\n",
+      "   632 |     6410 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0000566688 |             f\n",
+      "   633 |     6420 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0002117795 |             f\n",
+      "   634 |     6430 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0003660433 |             f\n",
+      "   635 |     6440 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0004707009 |             f\n",
+      "   636 |     6450 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0005167239 |             f\n",
+      "   637 |     6460 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0007163788 |             f\n",
+      "   638 |     6470 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0007843339 |             f\n",
+      "   639 |     6480 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0007696006 |             f\n",
+      "   640 |     6490 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0009082427 |             f\n",
+      "   641 |     6500 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0010754841 |             f\n",
+      "   642 |     6510 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0011944695 |             f\n",
+      "   643 |     6520 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0011986412 |             f\n",
+      "   644 |     6530 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0012802150 |             f\n",
+      "   645 |     6540 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0014885435 |             f\n",
+      "   646 |     6550 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0018539853 |             f\n",
+      "   647 |     6560 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0019741603 |             f\n",
+      "   648 |     6570 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0021058198 |             f\n",
+      "   649 |     6580 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0023742384 |             f\n",
+      "   650 |     6590 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0023711428 |             f\n",
+      "   651 |     6600 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0025315667 |             f\n",
+      "   652 |     6610 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0002191883 |             f\n",
+      "   653 |     6620 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0004411298 |             f\n",
+      "   654 |     6630 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0005020500 |             f\n",
+      "   655 |     6640 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0006194946 |             f\n",
+      "   656 |     6650 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0006931842 |             f\n",
+      "   657 |     6660 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0008109498 |             f\n",
+      "   658 |     6670 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0008408760 |             f\n",
+      "   659 |     6680 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0008980570 |             f\n",
+      "   660 |     6690 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0009160068 |             f\n",
+      "   661 |     6700 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0010156099 |             f\n",
+      "   662 |     6710 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0011941761 |             f\n",
+      "   663 |     6720 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0011941761 |             f\n",
+      "   664 |     6730 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0013461865 |             f\n",
+      "   665 |     6740 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0013571713 |             f\n",
+      "   666 |     6750 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0013859509 |             f\n",
+      "   667 |     6760 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0016940068 |             f\n",
+      "   668 |     6770 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0018149231 |             f\n",
+      "   669 |     6780 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0018628498 |             f\n",
+      "   670 |     6790 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0018488059 |             f\n",
+      "   671 |     6800 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0020401151 |             f\n",
+      "   672 |     6810 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0021514796 |             f\n",
+      "   673 |     6820 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0021991907 |             f\n",
+      "   674 |     6830 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0022024505 |             f\n",
+      "   675 |     6840 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0023205451 |             f\n",
+      "   676 |     6850 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0023082607 |             f\n",
+      "   677 |     6860 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0024157621 |             f\n",
+      "   678 |     6870 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0025029860 |             f\n",
+      "   679 |     6880 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0001422418 |             f\n",
+      "   680 |     6890 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0003638361 |             f\n",
+      "   681 |     6900 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0004587912 |             f\n",
+      "   682 |     6910 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0004434729 |             f\n",
+      "   683 |     6920 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0006355890 |             f\n",
+      "   684 |     6930 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0006721092 |             f\n",
+      "   685 |     6940 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0041191541 |         ideal\n",
+      "   686 |     6950 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0000673444 |             f\n",
+      "   687 |     6960 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0005815778 |             f\n",
+      "   688 |     6970 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0007098054 |             f\n",
+      "   689 |     6980 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0008970248 |             f\n",
+      "   690 |     6990 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0009427695 |             f\n",
+      "   691 |     7000 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0013762724 |             f\n",
+      "   692 |     7010 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0015135176 |             f\n",
+      "   693 |     7020 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0016491982 |             f\n",
+      "   694 |     7030 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0039014433 |         nadir\n",
+      "   695 |     7040 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0009399171 |             f\n",
+      "   696 |     7050 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0009665796 |             f\n",
+      "   697 |     7060 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0011042318 |             f\n",
+      "   698 |     7070 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0011762254 |             f\n",
+      "   699 |     7080 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0011799795 |             f\n",
+      "   700 |     7090 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0012674738 |             f\n",
+      "   701 |     7100 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0013384166 |             f\n",
+      "   702 |     7110 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0013609505 |             f\n",
+      "   703 |     7120 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0022464150 |             f\n",
+      "   704 |     7130 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0022348388 |             f\n",
+      "   705 |     7140 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0022818093 |             f\n",
+      "   706 |     7150 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0023634749 |             f\n",
+      "   707 |     7160 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0023324398 |             f\n",
+      "   708 |     7170 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0030738390 |             f\n",
+      "   709 |     7180 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0001587682 |             f\n",
+      "   710 |     7190 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0001647403 |             f\n",
+      "   711 |     7200 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0004844536 |             f\n",
+      "   712 |     7210 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0006073423 |             f\n",
+      "   713 |     7220 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0007485905 |             f\n",
+      "   714 |     7230 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0008211744 |             f\n",
+      "   715 |     7240 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0008686469 |             f\n",
+      "   716 |     7250 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0009559835 |             f\n",
+      "   717 |     7260 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0009954940 |             f\n",
+      "   718 |     7270 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0012114858 |             f\n",
+      "   719 |     7280 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0011413397 |             f\n",
+      "   720 |     7290 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0012271104 |             f\n",
+      "   721 |     7300 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0041216940 |         nadir\n",
+      "   722 |     7310 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0001161772 |             f\n",
+      "   723 |     7320 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0001361772 |             f\n",
+      "   724 |     7330 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0002239218 |             f\n",
+      "   725 |     7340 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0002689950 |             f\n",
+      "   726 |     7350 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0004308768 |             f\n",
+      "   727 |     7360 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0005285534 |             f\n",
+      "   728 |     7370 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0007608192 |             f\n",
+      "   729 |     7380 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0008105889 |             f\n",
+      "   730 |     7390 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0009305428 |             f\n",
+      "   731 |     7400 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0009855845 |             f\n",
+      "   732 |     7410 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0012378721 |             f\n",
+      "   733 |     7420 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0012776488 |             f\n",
+      "   734 |     7430 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0014812853 |             f\n",
+      "   735 |     7440 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0016908065 |             f\n",
+      "   736 |     7450 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0018598592 |             f\n",
+      "   737 |     7460 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0018971150 |             f\n",
+      "   738 |     7470 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0020222669 |             f\n",
+      "   739 |     7480 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0021059223 |             f\n",
+      "   740 |     7490 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0021050021 |             f\n",
+      "   741 |     7500 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0021048114 |             f\n",
+      "   742 |     7510 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0024982161 |             f\n",
+      "   743 |     7520 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0025065914 |             f\n",
+      "   744 |     7530 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0001216790 |             f\n",
+      "   745 |     7540 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0005247643 |             f\n",
+      "   746 |     7550 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0007780188 |             f\n",
+      "   747 |     7560 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0008328643 |             f\n",
+      "   748 |     7570 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0009370452 |             f\n",
+      "   749 |     7580 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0010791784 |             f\n",
+      "   750 |     7590 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0012824934 |             f\n",
+      "   751 |     7600 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0013736245 |             f\n",
+      "   752 |     7610 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0015215621 |             f\n",
+      "   753 |     7620 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0015155891 |             f\n",
+      "   754 |     7630 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0015646926 |             f\n",
+      "   755 |     7640 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0015924392 |             f\n",
+      "   756 |     7650 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0018257272 |             f\n",
+      "   757 |     7660 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0022065498 |             f\n",
+      "   758 |     7670 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0022635796 |             f\n",
+      "   759 |     7680 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0023392702 |             f\n",
+      "   760 |     7690 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0024177392 |             f\n",
+      "   761 |     7700 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0025235882 |             f\n",
+      "   762 |     7710 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0002856668 |             f\n",
+      "   763 |     7720 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0004117462 |             f\n",
+      "   764 |     7730 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0005009245 |             f\n",
+      "   765 |     7740 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0005565066 |             f\n",
+      "   766 |     7750 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0006142334 |             f\n",
+      "   767 |     7760 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0006357636 |             f\n",
+      "   768 |     7770 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0007938379 |             f\n",
+      "   769 |     7780 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0008731249 |             f\n",
+      "   770 |     7790 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0009496483 |             f\n",
+      "   771 |     7800 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0009581029 |             f\n",
+      "   772 |     7810 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0010000346 |             f\n",
+      "   773 |     7820 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0502890164 |         nadir\n",
+      "   774 |     7830 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0002772273 |             f\n",
+      "   775 |     7840 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0003588896 |             f\n",
+      "   776 |     7850 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0003380497 |             f\n",
+      "   777 |     7860 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0003380497 |             f\n",
+      "   778 |     7870 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0003706013 |             f\n",
+      "   779 |     7880 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0004056783 |             f\n",
+      "   780 |     7890 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0004056783 |             f\n",
+      "   781 |     7900 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0004220271 |             f\n",
+      "   782 |     7910 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0005470271 |             f\n",
+      "   783 |     7920 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0006459127 |             f\n",
+      "   784 |     7930 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0007827860 |             f\n",
+      "   785 |     7940 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0009467460 |             f\n",
+      "   786 |     7950 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0009675227 |             f\n",
+      "   787 |     7960 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0009695081 |             f\n",
+      "   788 |     7970 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0010687281 |             f\n",
+      "   789 |     7980 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0011556056 |             f\n",
+      "   790 |     7990 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0011474385 |             f\n",
+      "   791 |     8000 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0013003473 |             f\n",
+      "   792 |     8010 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0013579497 |             f\n",
+      "   793 |     8020 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0232949794 |         nadir\n",
+      "   794 |     8030 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0000100472 |             f\n",
+      "   795 |     8040 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0003184269 |             f\n",
+      "   796 |     8050 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0003503234 |             f\n",
+      "   797 |     8060 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0007089598 |             f\n",
+      "   798 |     8070 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0008875773 |             f\n",
+      "   799 |     8080 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0010867220 |             f\n",
+      "   800 |     8090 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0011404549 |             f\n",
+      "   801 |     8100 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0011681840 |             f\n",
+      "   802 |     8110 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0011972658 |             f\n",
+      "   803 |     8120 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0012129379 |             f\n",
+      "   804 |     8130 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0012559440 |             f\n",
+      "   805 |     8140 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0012804189 |             f\n",
+      "   806 |     8150 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0014912512 |             f\n",
+      "   807 |     8160 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0016269312 |             f\n",
+      "   808 |     8170 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0015464340 |             f\n",
+      "   809 |     8180 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0016334365 |             f\n",
+      "   810 |     8190 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0015476179 |             f\n",
+      "   811 |     8200 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0016164397 |             f\n",
+      "   812 |     8210 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0017727597 |             f\n",
+      "   813 |     8220 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0018742663 |             f\n",
+      "   814 |     8230 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0019502237 |             f\n",
+      "   815 |     8240 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0019916591 |             f\n",
+      "   816 |     8250 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0595500691 |         nadir\n",
+      "   817 |     8260 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0000843357 |             f\n",
+      "   818 |     8270 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0001061099 |             f\n",
+      "   819 |     8280 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0003204613 |             f\n",
+      "   820 |     8290 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0005632044 |             f\n",
+      "   821 |     8300 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0006552112 |             f\n",
+      "   822 |     8310 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0008213366 |             f\n",
+      "   823 |     8320 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0009185656 |             f\n",
+      "   824 |     8330 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0011653883 |             f\n",
+      "   825 |     8340 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0012900062 |             f\n",
+      "   826 |     8350 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0014292764 |             f\n",
+      "   827 |     8360 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0015798513 |             f\n",
+      "   828 |     8370 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0014484607 |             f\n",
+      "   829 |     8380 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0015036962 |             f\n",
+      "   830 |     8390 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0016791515 |             f\n",
+      "   831 |     8400 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0018049821 |             f\n",
+      "   832 |     8410 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0018128185 |             f\n",
+      "   833 |     8420 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0018107544 |             f\n",
+      "   834 |     8430 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0018107544 |             f\n",
+      "   835 |     8440 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0017754944 |             f\n",
+      "   836 |     8450 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0018957120 |             f\n",
+      "   837 |     8460 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0020505361 |             f\n",
+      "   838 |     8470 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0020474788 |             f\n",
+      "   839 |     8480 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0020915253 |             f\n",
+      "   840 |     8490 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0021221301 |             f\n",
+      "   841 |     8500 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0020671010 |             f\n",
+      "   842 |     8510 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0020671010 |             f\n",
+      "   843 |     8520 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0021106985 |             f\n",
+      "   844 |     8530 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0021767978 |             f\n",
+      "   845 |     8540 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0021375328 |             f\n",
+      "   846 |     8550 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0020978896 |             f\n",
+      "   847 |     8560 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0023009361 |             f\n",
+      "   848 |     8570 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0023687934 |             f\n",
+      "   849 |     8580 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0023570424 |             f\n",
+      "   850 |     8590 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0024794939 |             f\n",
+      "   851 |     8600 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0024815775 |             f\n",
+      "   852 |     8610 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0025074226 |             f\n",
+      "   853 |     8620 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0002610144 |             f\n",
+      "   854 |     8630 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0003002235 |             f\n",
+      "   855 |     8640 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0045754514 |         nadir\n",
+      "   856 |     8650 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0000204691 |             f\n",
+      "   857 |     8660 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0001400876 |             f\n",
+      "   858 |     8670 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0001272796 |             f\n",
+      "   859 |     8680 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0002740985 |             f\n",
+      "   860 |     8690 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0003741988 |             f\n",
+      "   861 |     8700 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0003965710 |             f\n",
+      "   862 |     8710 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0005614301 |             f\n",
+      "   863 |     8720 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0005065489 |             f\n",
+      "   864 |     8730 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0006728871 |             f\n",
+      "   865 |     8740 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0007577275 |             f\n",
+      "   866 |     8750 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0007953979 |             f\n",
+      "   867 |     8760 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0009602876 |             f\n",
+      "   868 |     8770 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0010950121 |             f\n",
+      "   869 |     8780 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0011639642 |             f\n",
+      "   870 |     8790 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0012164867 |             f\n",
+      "   871 |     8800 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0012283840 |             f\n",
+      "   872 |     8810 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0013082021 |             f\n",
+      "   873 |     8820 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0013810247 |             f\n",
+      "   874 |     8830 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0014364035 |             f\n",
+      "   875 |     8840 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0014575524 |             f\n",
+      "   876 |     8850 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0014837604 |             f\n",
+      "   877 |     8860 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0016121266 |             f\n",
+      "   878 |     8870 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0016990943 |             f\n",
+      "   879 |     8880 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0017808228 |             f\n",
+      "   880 |     8890 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0018819209 |             f\n",
+      "   881 |     8900 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0019976990 |             f\n",
+      "   882 |     8910 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0020413425 |             f\n",
+      "   883 |     8920 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0021431078 |             f\n",
+      "   884 |     8930 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0021450184 |             f\n",
+      "   885 |     8940 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0209335210 |         nadir\n",
+      "   886 |     8950 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0000992633 |             f\n",
+      "   887 |     8960 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0001142709 |             f\n",
+      "   888 |     8970 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0001831363 |             f\n",
+      "   889 |     8980 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0002236395 |             f\n",
+      "   890 |     8990 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0003341055 |             f\n",
+      "   891 |     9000 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0004176011 |             f\n",
+      "   892 |     9010 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0004978399 |             f\n",
+      "   893 |     9020 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0006662186 |             f\n",
+      "   894 |     9030 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0008548695 |             f\n",
+      "   895 |     9040 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0007979563 |             f\n",
+      "   896 |     9050 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0007979563 |             f\n",
+      "   897 |     9060 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0008761217 |             f\n",
+      "   898 |     9070 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0009875468 |             f\n",
+      "   899 |     9080 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0011162094 |             f\n",
+      "   900 |     9090 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0011177187 |             f\n",
+      "   901 |     9100 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0011177187 |             f\n",
+      "   902 |     9110 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0013390439 |             f\n",
+      "   903 |     9120 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0014155555 |             f\n",
+      "   904 |     9130 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0015730479 |             f\n",
+      "   905 |     9140 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0015811072 |             f\n",
+      "   906 |     9150 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0018103615 |             f\n",
+      "   907 |     9160 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0018103615 |             f\n",
+      "   908 |     9170 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0018139352 |             f\n",
+      "   909 |     9180 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0018034020 |             f\n",
+      "   910 |     9190 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0018324976 |             f\n",
+      "   911 |     9200 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0306464459 |         nadir\n",
+      "   912 |     9210 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0041574506 |         ideal\n",
+      "   913 |     9220 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0001039180 |             f\n",
+      "   914 |     9230 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0002439290 |             f\n",
+      "   915 |     9240 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0002268499 |             f\n",
+      "   916 |     9250 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0002989956 |             f\n",
+      "   917 |     9260 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0004011050 |             f\n",
+      "   918 |     9270 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0004876426 |             f\n",
+      "   919 |     9280 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0006093495 |             f\n",
+      "   920 |     9290 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0006626841 |             f\n",
+      "   921 |     9300 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0007527288 |             f\n",
+      "   922 |     9310 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0007530375 |             f\n",
+      "   923 |     9320 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0007841461 |             f\n",
+      "   924 |     9330 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0008328182 |             f\n",
+      "   925 |     9340 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0008489505 |             f\n",
+      "   926 |     9350 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0009047398 |             f\n",
+      "   927 |     9360 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0009768752 |             f\n",
+      "   928 |     9370 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0058934373 |         nadir\n",
+      "   929 |     9380 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0001926337 |             f\n",
+      "   930 |     9390 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0002648905 |             f\n",
+      "   931 |     9400 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0004194695 |             f\n",
+      "   932 |     9410 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0004742862 |             f\n",
+      "   933 |     9420 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0005512398 |             f\n",
+      "   934 |     9430 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0007583517 |             f\n",
+      "   935 |     9440 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0007978134 |             f\n",
+      "   936 |     9450 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0008092994 |             f\n",
+      "   937 |     9460 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0008591920 |             f\n",
+      "   938 |     9470 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0008996307 |             f\n",
+      "   939 |     9480 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0009000224 |             f\n",
+      "   940 |     9490 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0009034830 |             f\n",
+      "   941 |     9500 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0010328879 |             f\n",
+      "   942 |     9510 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0011110244 |             f\n",
+      "   943 |     9520 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0011008444 |             f\n",
+      "   944 |     9530 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0012837546 |             f\n",
+      "   945 |     9540 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0015140729 |             f\n",
+      "   946 |     9550 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0015982776 |             f\n",
+      "   947 |     9560 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0018521660 |             f\n",
+      "   948 |     9570 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0019934427 |             f\n",
+      "   949 |     9580 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0020676052 |             f\n",
+      "   950 |     9590 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0020896928 |             f\n",
+      "   951 |     9600 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0021462219 |             f\n",
+      "   952 |     9610 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0022924842 |             f\n",
+      "   953 |     9620 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0023707750 |             f\n",
+      "   954 |     9630 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0025144476 |             f\n",
+      "   955 |     9640 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0001600804 |             f\n",
+      "   956 |     9650 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0002480686 |             f\n",
+      "   957 |     9660 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0002698950 |             f\n",
+      "   958 |     9670 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0003044482 |             f\n",
+      "   959 |     9680 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0004356119 |             f\n",
+      "   960 |     9690 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0005049324 |             f\n",
+      "   961 |     9700 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0006340249 |             f\n",
+      "   962 |     9710 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0007753551 |             f\n",
+      "   963 |     9720 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0007799322 |             f\n",
+      "   964 |     9730 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0009073400 |             f\n",
+      "   965 |     9740 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0009943393 |             f\n",
+      "   966 |     9750 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0010921447 |             f\n",
+      "   967 |     9760 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0011590958 |             f\n",
+      "   968 |     9770 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0013406936 |             f\n",
+      "   969 |     9780 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0014793557 |             f\n",
+      "   970 |     9790 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0015610614 |             f\n",
+      "   971 |     9800 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0015731660 |             f\n",
+      "   972 |     9810 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0016153235 |             f\n",
+      "   973 |     9820 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0016014525 |             f\n",
+      "   974 |     9830 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0017451746 |             f\n",
+      "   975 |     9840 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0018967829 |             f\n",
+      "   976 |     9850 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0018932856 |             f\n",
+      "   977 |     9860 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0018408112 |             f\n",
+      "   978 |     9870 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0019890797 |             f\n",
+      "   979 |     9880 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0020344879 |             f\n",
+      "   980 |     9890 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0021083164 |             f\n",
+      "   981 |     9900 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0020854446 |             f\n",
+      "   982 |     9910 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0021877544 |             f\n",
+      "   983 |     9920 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0022278183 |             f\n",
+      "   984 |     9930 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0022367795 |             f\n",
+      "   985 |     9940 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0022411432 |             f\n",
+      "   986 |     9950 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0023655445 |             f\n",
+      "   987 |     9960 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0023310437 |             f\n",
+      "   988 |     9970 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0023222646 |             f\n",
+      "   989 |     9980 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0023974925 |             f\n",
+      "   990 |     9990 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0024297122 |             f\n",
+      "   991 |    10000 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0024207498 |             f\n",
+      "   992 |    10010 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0024116138 |             f\n",
+      "   993 |    10020 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0024415874 |             f\n",
+      "   994 |    10030 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0024916338 |             f\n",
+      "   995 |    10040 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0025708605 |             f\n",
+      "   996 |    10050 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0000753629 |             f\n",
+      "   997 |    10060 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0001020071 |             f\n",
+      "   998 |    10070 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0001370147 |             f\n",
+      "   999 |    10080 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0003239474 |             f\n",
+      "  1000 |    10090 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0004572153 |             f\n"
      ]
     }
    ],
@@ -2265,29 +2267,29 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 168,
+   "execution_count": 270,
    "id": "56587026-a064-4b92-9f79-d7ba37a16c54",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "array([[6.18387039e+01, 2.49571994e+01, 5.55173857e+00, ...,\n",
-       "        1.47423950e+01, 4.39217832e-03, 1.25614225e-03],\n",
-       "       [6.18387040e+01, 2.49571836e+01, 5.55173918e+00, ...,\n",
-       "        2.99797498e+01, 3.44972066e-02, 6.45516077e-04],\n",
-       "       [6.18387050e+01, 2.49571986e+01, 5.55173870e+00, ...,\n",
-       "        2.67079831e+01, 5.92411229e-03, 1.00315740e-03],\n",
+       "array([[6.26033635e+01, 2.35335204e+01, 6.58803244e+00, ...,\n",
+       "        1.52125570e+01, 1.50367131e-05, 3.51077896e-03],\n",
+       "       [6.26033660e+01, 2.35335212e+01, 6.58803518e+00, ...,\n",
+       "        2.99994535e+01, 1.63433556e+01, 4.96665191e-02],\n",
+       "       [6.26033634e+01, 2.35335204e+01, 6.58803215e+00, ...,\n",
+       "        1.84005058e+01, 1.07839563e-03, 3.51077896e-03],\n",
        "       ...,\n",
-       "       [6.18387159e+01, 2.49571978e+01, 5.55173870e+00, ...,\n",
-       "        2.99507989e+01, 9.71470888e-03, 4.37255341e-04],\n",
-       "       [6.18387043e+01, 2.49571835e+01, 5.55173925e+00, ...,\n",
-       "        2.99383273e+01, 3.55272603e-02, 1.15822269e-03],\n",
-       "       [6.18387171e+01, 2.49571836e+01, 5.55173920e+00, ...,\n",
-       "        2.98708339e+01, 8.75801315e-03, 7.63938267e-02]])"
+       "       [6.26033638e+01, 2.35335204e+01, 6.58810971e+00, ...,\n",
+       "        2.99906413e+01, 3.26880313e+00, 1.85330635e-02],\n",
+       "       [6.26033637e+01, 2.35335203e+01, 6.58804020e+00, ...,\n",
+       "        2.99936337e+01, 1.10736389e+01, 6.64692990e-03],\n",
+       "       [6.26033634e+01, 2.35335203e+01, 6.58805549e+00, ...,\n",
+       "        2.99619737e+01, 1.22645475e+01, 2.06629712e-03]])"
       ]
      },
-     "execution_count": 168,
+     "execution_count": 270,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2298,29 +2300,29 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 169,
+   "execution_count": 271,
    "id": "77c64a00-3715-4e29-91e0-ba823e5cac76",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "array([[6.18387039e+01, 2.49571994e+01, 5.55173857e+00, ...,\n",
-       "        1.47423950e+01, 4.39217832e-03, 1.25614225e-03],\n",
-       "       [6.18387040e+01, 2.49571836e+01, 5.55173918e+00, ...,\n",
-       "        2.99797498e+01, 3.44972066e-02, 6.45516077e-04],\n",
-       "       [6.18387050e+01, 2.49571986e+01, 5.55173870e+00, ...,\n",
-       "        2.67079831e+01, 5.92411229e-03, 1.00315740e-03],\n",
+       "array([[6.26033635e+01, 2.35335204e+01, 6.58803244e+00, ...,\n",
+       "        1.52125570e+01, 1.50367131e-05, 3.51077896e-03],\n",
+       "       [6.26033660e+01, 2.35335212e+01, 6.58803518e+00, ...,\n",
+       "        2.99994535e+01, 1.63433556e+01, 4.96665191e-02],\n",
+       "       [6.26033634e+01, 2.35335204e+01, 6.58803215e+00, ...,\n",
+       "        1.84005058e+01, 1.07839563e-03, 3.51077896e-03],\n",
        "       ...,\n",
-       "       [6.18387159e+01, 2.49571978e+01, 5.55173870e+00, ...,\n",
-       "        2.99507989e+01, 9.71470888e-03, 4.37255341e-04],\n",
-       "       [6.18387043e+01, 2.49571835e+01, 5.55173925e+00, ...,\n",
-       "        2.99383273e+01, 3.55272603e-02, 1.15822269e-03],\n",
-       "       [6.18387171e+01, 2.49571836e+01, 5.55173920e+00, ...,\n",
-       "        2.98708339e+01, 8.75801315e-03, 7.63938267e-02]])"
+       "       [6.26033638e+01, 2.35335204e+01, 6.58810971e+00, ...,\n",
+       "        2.99906413e+01, 3.26880313e+00, 1.85330635e-02],\n",
+       "       [6.26033637e+01, 2.35335203e+01, 6.58804020e+00, ...,\n",
+       "        2.99936337e+01, 1.10736389e+01, 6.64692990e-03],\n",
+       "       [6.26033634e+01, 2.35335203e+01, 6.58805549e+00, ...,\n",
+       "        2.99619737e+01, 1.22645475e+01, 2.06629712e-03]])"
       ]
      },
-     "execution_count": 169,
+     "execution_count": 271,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2331,13 +2333,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 170,
+   "execution_count": 272,
    "id": "6efdae01-f846-4f1f-a37a-6acf8c795ac2",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 700x500 with 1 Axes>"
       ]
@@ -2361,7 +2363,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 171,
+   "execution_count": 273,
    "id": "4cef2f70-e618-4ace-8661-c267102c0211",
    "metadata": {},
    "outputs": [
@@ -2371,13 +2373,13 @@
        "Text(0, 0.5, 'negative squared sum of elastic moduli')"
       ]
      },
-     "execution_count": 171,
+     "execution_count": 273,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 700x500 with 1 Axes>"
       ]
@@ -2405,36 +2407,36 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 172,
+   "execution_count": 274,
    "id": "ee8f1493-ea54-48df-847e-b34a3ebac906",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "array([7.65234324, 7.65234323, 7.65234324, 7.65234324, 7.65234324,\n",
-       "       7.65234324, 7.65234324, 7.65234323, 7.65234323, 7.65234324,\n",
-       "       7.65234324, 7.65234324, 7.65234324, 7.65234323, 7.65234324,\n",
-       "       7.65234324, 7.65234323, 7.65234324, 7.65234323, 7.65234324,\n",
-       "       7.65234324, 7.65234324, 7.65234324, 7.65234323, 7.65234324,\n",
-       "       7.65234323, 7.65234324, 7.65234323, 7.65234324, 7.65234324,\n",
-       "       7.65234324, 7.65234323, 7.65234324, 7.65234324, 7.65234324,\n",
-       "       7.65234323, 7.65234324, 7.65234323, 7.65234324, 7.65234324,\n",
-       "       7.65234324, 7.65234324, 7.65234323, 7.65234323, 7.65234323,\n",
-       "       7.65234324, 7.65234324, 7.65234324, 7.65234324, 7.65234324,\n",
-       "       7.65234323, 7.65234324, 7.65234324, 7.65234324, 7.65234324,\n",
-       "       7.65234323, 7.65234324, 7.65234324, 7.65234324, 7.65234324,\n",
-       "       7.65234324, 7.65234323, 7.65234324, 7.65234324, 7.65234324,\n",
-       "       7.65234323, 7.65234323, 7.65234324, 7.65234323, 7.65234324,\n",
-       "       7.65234323, 7.65234324, 7.65234324, 7.65234324, 7.65234323,\n",
-       "       7.65234324, 7.65234324, 7.65234323, 7.65234324, 7.65234324,\n",
-       "       7.65234324, 7.65234324, 7.65234323, 7.65234323, 7.65234323,\n",
-       "       7.65234324, 7.65234324, 7.65234324, 7.65234324, 7.65234324,\n",
-       "       7.65234323, 7.65234324, 7.65234324, 7.65234323, 7.65234324,\n",
-       "       7.65234323, 7.65234324, 7.65234323, 7.65234323, 7.65234324])"
+       "array([7.27505348, 7.27505304, 7.27505283, 7.27505308, 7.27505309,\n",
+       "       7.27505384, 7.27505308, 7.27505929, 7.27505246, 7.27505443,\n",
+       "       7.27505294, 7.27505377, 7.27505246, 7.27505436, 7.27505298,\n",
+       "       7.27505428, 7.27505436, 7.275054  , 7.27505371, 7.27505443,\n",
+       "       7.27505397, 7.27506013, 7.27505318, 7.27505324, 7.275059  ,\n",
+       "       7.27505384, 7.27505347, 7.27505441, 7.27505304, 7.27505324,\n",
+       "       7.27505448, 7.27505904, 7.27505307, 7.27505367, 7.27505314,\n",
+       "       7.27505398, 7.27505374, 7.27505914, 7.27505915, 7.275053  ,\n",
+       "       7.27505441, 7.275054  , 7.27505929, 7.27505324, 7.27505441,\n",
+       "       7.27505393, 7.27505385, 7.27505371, 7.27505446, 7.27505246,\n",
+       "       7.2750541 , 7.27505446, 7.2750537 , 7.27505971, 7.27505454,\n",
+       "       7.27505296, 7.2750537 , 7.2750537 , 7.27505294, 7.27505874,\n",
+       "       7.27505905, 7.27505431, 7.27505313, 7.2750537 , 7.27505393,\n",
+       "       7.27505348, 7.27505431, 7.27505468, 7.27505372, 7.27505898,\n",
+       "       7.27505881, 7.27505443, 7.275054  , 7.27505314, 7.27505915,\n",
+       "       7.27505314, 7.27505298, 7.2750545 , 7.27505904, 7.27505929,\n",
+       "       7.27505317, 7.27505966, 7.2750541 , 7.27505402, 7.27505448,\n",
+       "       7.27505304, 7.27505443, 7.2750544 , 7.27505299, 7.27505329,\n",
+       "       7.27505384, 7.27505298, 7.27505447, 7.27505384, 7.27505898,\n",
+       "       7.2750536 , 7.2750531 , 7.27505331, 7.27505393, 7.27505448])"
       ]
      },
-     "execution_count": 172,
+     "execution_count": 274,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2445,7 +2447,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 173,
+   "execution_count": 275,
    "id": "877b9d91-1340-4d37-b358-2e513cbd04ef",
    "metadata": {},
    "outputs": [
@@ -2453,406 +2455,406 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "[6.18387039e+01 2.49571994e+01 5.55173857e+00 7.65234324e+00\n",
-      " 1.00000000e+00 2.50000000e+01 3.85000000e+02 1.91518065e+00\n",
-      " 1.04240016e+00 2.49435796e-04 2.99341247e-03 1.47423950e+01\n",
-      " 4.39217832e-03 1.25614225e-03]\n",
-      "[6.18387040e+01 2.49571836e+01 5.55173918e+00 7.65234323e+00\n",
-      " 1.00000000e+00 2.50000000e+01 3.85000000e+02 1.70453913e+00\n",
-      " 1.01865915e+00 1.59082185e+01 3.02332608e-02 2.99797498e+01\n",
-      " 3.44972066e-02 6.45516077e-04]\n",
-      "[6.18387050e+01 2.49571986e+01 5.55173870e+00 7.65234324e+00\n",
-      " 1.00000000e+00 2.50000000e+01 3.85000000e+02 1.79213464e+00\n",
-      " 1.03033239e+00 1.49943171e-02 1.32402705e-02 2.67079831e+01\n",
-      " 5.92411229e-03 1.00315740e-03]\n",
-      "[6.18387218e+01 2.49571967e+01 5.55173870e+00 7.65234324e+00\n",
-      " 1.00000000e+00 2.50000000e+01 3.85000000e+02 1.79221751e+00\n",
-      " 1.00803271e+00 1.48581780e-01 1.32416523e-02 2.47173177e+01\n",
-      " 2.23671649e-01 7.23361597e-04]\n",
-      "[6.18387039e+01 2.49571994e+01 5.55173857e+00 7.65234324e+00\n",
-      " 1.00000000e+00 2.50000000e+01 3.85000000e+02 1.92139506e+00\n",
-      " 1.04210932e+00 2.49435796e-04 4.24317118e-03 1.73256096e+01\n",
-      " 4.38842191e-03 1.25614225e-03]\n",
-      "[6.18387168e+01 2.49571827e+01 5.55173869e+00 7.65234324e+00\n",
-      " 1.00000000e+00 2.50000000e+01 3.85000000e+02 1.75151374e+00\n",
-      " 1.01850929e+00 1.98626803e-02 1.32547033e-02 1.60196672e+01\n",
-      " 6.06380216e-03 1.07947470e-02]\n",
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      ]
     }
    ],
@@ -2867,116 +2869,116 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 174,
+   "execution_count": 276,
    "id": "02db9bcb-d5bd-4096-8e95-43b3ed448d0e",
    "metadata": {},
    "outputs": [
     {
      "data": {
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+       " array([[23.15806224, 10.24719995, 26.77610696,  0.30103145]])]"
       ]
      },
-     "execution_count": 174,
+     "execution_count": 276,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2987,116 +2989,116 @@
   },
   {
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+   "execution_count": 277,
    "id": "eb638a6f-14e8-4ac5-9387-e65d1a0b5341",
    "metadata": {},
    "outputs": [
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      "metadata": {},
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     }
@@ -3107,13 +3109,13 @@
   },
   {
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+   "execution_count": 278,
    "id": "cd70f039-7ba8-43e1-864a-6c6d7c39a33e",
    "metadata": {},
    "outputs": [
     {
      "data": {
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",
       "text/plain": [
        "<Figure size 1000x1000 with 4 Axes>"
       ]
@@ -3168,7 +3170,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 177,
+   "execution_count": 279,
    "id": "f50d702e-a0f9-4c08-a592-55f84b155820",
    "metadata": {},
    "outputs": [],
@@ -3184,7 +3186,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 178,
+   "execution_count": 280,
    "id": "96c020f2-d87b-43b9-afc2-3cb148bfd3bf",
    "metadata": {},
    "outputs": [
@@ -3233,113 +3235,113 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>61.838704</td>\n",
-       "      <td>24.957199</td>\n",
-       "      <td>5.551739</td>\n",
-       "      <td>7.652343</td>\n",
+       "      <td>62.603364</td>\n",
+       "      <td>23.533520</td>\n",
+       "      <td>6.588032</td>\n",
+       "      <td>7.275053</td>\n",
        "      <td>1.0</td>\n",
        "      <td>25.0</td>\n",
        "      <td>385.0</td>\n",
-       "      <td>1.915181</td>\n",
-       "      <td>1.042400</td>\n",
-       "      <td>0.000249</td>\n",
-       "      <td>0.002993</td>\n",
-       "      <td>14.742395</td>\n",
-       "      <td>0.004392</td>\n",
-       "      <td>0.001256</td>\n",
-       "      <td>0.747416</td>\n",
-       "      <td>25.991403</td>\n",
-       "      <td>11.468673</td>\n",
-       "      <td>29.984423</td>\n",
-       "      <td>0.305031</td>\n",
+       "      <td>0.685210</td>\n",
+       "      <td>1.015839</td>\n",
+       "      <td>0.006129</td>\n",
+       "      <td>0.003577</td>\n",
+       "      <td>15.212557</td>\n",
+       "      <td>0.000015</td>\n",
+       "      <td>0.003511</td>\n",
+       "      <td>0.744554</td>\n",
+       "      <td>26.212646</td>\n",
+       "      <td>11.529294</td>\n",
+       "      <td>30.155118</td>\n",
+       "      <td>0.305501</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>61.838704</td>\n",
-       "      <td>24.957184</td>\n",
-       "      <td>5.551739</td>\n",
-       "      <td>7.652343</td>\n",
+       "      <td>62.603366</td>\n",
+       "      <td>23.533521</td>\n",
+       "      <td>6.588035</td>\n",
+       "      <td>7.275053</td>\n",
        "      <td>1.0</td>\n",
        "      <td>25.0</td>\n",
        "      <td>385.0</td>\n",
-       "      <td>1.704539</td>\n",
-       "      <td>1.018659</td>\n",
-       "      <td>15.908218</td>\n",
-       "      <td>0.030233</td>\n",
-       "      <td>29.979750</td>\n",
-       "      <td>0.034497</td>\n",
-       "      <td>0.000646</td>\n",
-       "      <td>0.593405</td>\n",
-       "      <td>22.479233</td>\n",
-       "      <td>10.000328</td>\n",
-       "      <td>26.113135</td>\n",
-       "      <td>0.299961</td>\n",
+       "      <td>0.662060</td>\n",
+       "      <td>1.503673</td>\n",
+       "      <td>0.206009</td>\n",
+       "      <td>0.028453</td>\n",
+       "      <td>29.999454</td>\n",
+       "      <td>16.343356</td>\n",
+       "      <td>0.049667</td>\n",
+       "      <td>0.590861</td>\n",
+       "      <td>22.508705</td>\n",
+       "      <td>10.000705</td>\n",
+       "      <td>26.118110</td>\n",
+       "      <td>0.300171</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>61.838705</td>\n",
-       "      <td>24.957199</td>\n",
-       "      <td>5.551739</td>\n",
-       "      <td>7.652343</td>\n",
+       "      <td>62.603363</td>\n",
+       "      <td>23.533520</td>\n",
+       "      <td>6.588032</td>\n",
+       "      <td>7.275053</td>\n",
        "      <td>1.0</td>\n",
        "      <td>25.0</td>\n",
        "      <td>385.0</td>\n",
-       "      <td>1.792135</td>\n",
-       "      <td>1.030332</td>\n",
-       "      <td>0.014994</td>\n",
-       "      <td>0.013240</td>\n",
-       "      <td>26.707983</td>\n",
-       "      <td>0.005924</td>\n",
-       "      <td>0.001003</td>\n",
-       "      <td>0.681609</td>\n",
-       "      <td>25.768763</td>\n",
-       "      <td>11.250276</td>\n",
-       "      <td>29.448135</td>\n",
-       "      <td>0.303608</td>\n",
+       "      <td>0.680431</td>\n",
+       "      <td>1.081513</td>\n",
+       "      <td>0.006124</td>\n",
+       "      <td>0.001727</td>\n",
+       "      <td>18.400506</td>\n",
+       "      <td>0.001078</td>\n",
+       "      <td>0.003511</td>\n",
+       "      <td>0.725914</td>\n",
+       "      <td>26.224577</td>\n",
+       "      <td>11.490249</td>\n",
+       "      <td>30.066211</td>\n",
+       "      <td>0.305402</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>61.838722</td>\n",
-       "      <td>24.957197</td>\n",
-       "      <td>5.551739</td>\n",
-       "      <td>7.652343</td>\n",
+       "      <td>62.603366</td>\n",
+       "      <td>23.533521</td>\n",
+       "      <td>6.588032</td>\n",
+       "      <td>7.275053</td>\n",
        "      <td>1.0</td>\n",
        "      <td>25.0</td>\n",
        "      <td>385.0</td>\n",
-       "      <td>1.792218</td>\n",
-       "      <td>1.008033</td>\n",
-       "      <td>0.148582</td>\n",
-       "      <td>0.013242</td>\n",
-       "      <td>24.717318</td>\n",
-       "      <td>0.223672</td>\n",
-       "      <td>0.000723</td>\n",
-       "      <td>0.689725</td>\n",
-       "      <td>25.760603</td>\n",
-       "      <td>11.264672</td>\n",
-       "      <td>29.480766</td>\n",
-       "      <td>0.304022</td>\n",
+       "      <td>0.661828</td>\n",
+       "      <td>1.446897</td>\n",
+       "      <td>0.000740</td>\n",
+       "      <td>0.027612</td>\n",
+       "      <td>26.238262</td>\n",
+       "      <td>0.000742</td>\n",
+       "      <td>0.020709</td>\n",
+       "      <td>0.683903</td>\n",
+       "      <td>25.982177</td>\n",
+       "      <td>11.320540</td>\n",
+       "      <td>29.639722</td>\n",
+       "      <td>0.304123</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>61.838704</td>\n",
-       "      <td>24.957199</td>\n",
-       "      <td>5.551739</td>\n",
-       "      <td>7.652343</td>\n",
+       "      <td>62.603366</td>\n",
+       "      <td>23.533520</td>\n",
+       "      <td>6.588042</td>\n",
+       "      <td>7.275053</td>\n",
        "      <td>1.0</td>\n",
        "      <td>25.0</td>\n",
        "      <td>385.0</td>\n",
-       "      <td>1.921395</td>\n",
-       "      <td>1.042109</td>\n",
-       "      <td>0.000249</td>\n",
-       "      <td>0.004243</td>\n",
-       "      <td>17.325610</td>\n",
-       "      <td>0.004388</td>\n",
-       "      <td>0.001256</td>\n",
-       "      <td>0.732098</td>\n",
-       "      <td>26.015368</td>\n",
-       "      <td>11.440281</td>\n",
-       "      <td>29.922042</td>\n",
-       "      <td>0.305027</td>\n",
+       "      <td>0.661796</td>\n",
+       "      <td>1.507175</td>\n",
+       "      <td>0.000715</td>\n",
+       "      <td>0.028340</td>\n",
+       "      <td>29.983549</td>\n",
+       "      <td>10.387092</td>\n",
+       "      <td>0.049130</td>\n",
+       "      <td>0.616671</td>\n",
+       "      <td>23.478716</td>\n",
+       "      <td>10.367908</td>\n",
+       "      <td>27.098597</td>\n",
+       "      <td>0.301383</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>...</th>\n",
@@ -3365,113 +3367,113 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>95</th>\n",
-       "      <td>61.838703</td>\n",
-       "      <td>24.957184</td>\n",
-       "      <td>5.551739</td>\n",
-       "      <td>7.652343</td>\n",
+       "      <td>62.603364</td>\n",
+       "      <td>23.533520</td>\n",
+       "      <td>6.588031</td>\n",
+       "      <td>7.275054</td>\n",
        "      <td>1.0</td>\n",
        "      <td>25.0</td>\n",
        "      <td>385.0</td>\n",
-       "      <td>1.919377</td>\n",
-       "      <td>1.036365</td>\n",
-       "      <td>0.000603</td>\n",
-       "      <td>0.024658</td>\n",
-       "      <td>21.870000</td>\n",
-       "      <td>0.028738</td>\n",
-       "      <td>0.000317</td>\n",
-       "      <td>0.706486</td>\n",
-       "      <td>25.948220</td>\n",
-       "      <td>11.361216</td>\n",
-       "      <td>29.729754</td>\n",
-       "      <td>0.304594</td>\n",
+       "      <td>0.680730</td>\n",
+       "      <td>1.354736</td>\n",
+       "      <td>0.067227</td>\n",
+       "      <td>0.037370</td>\n",
+       "      <td>29.984452</td>\n",
+       "      <td>5.560785</td>\n",
+       "      <td>0.016092</td>\n",
+       "      <td>0.638225</td>\n",
+       "      <td>24.410842</td>\n",
+       "      <td>10.715434</td>\n",
+       "      <td>28.028023</td>\n",
+       "      <td>0.302211</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>96</th>\n",
-       "      <td>61.838705</td>\n",
-       "      <td>24.957183</td>\n",
-       "      <td>5.551739</td>\n",
-       "      <td>7.652343</td>\n",
+       "      <td>62.603363</td>\n",
+       "      <td>23.533520</td>\n",
+       "      <td>6.588031</td>\n",
+       "      <td>7.275053</td>\n",
        "      <td>1.0</td>\n",
        "      <td>25.0</td>\n",
        "      <td>385.0</td>\n",
-       "      <td>1.797621</td>\n",
-       "      <td>1.033355</td>\n",
-       "      <td>2.102000</td>\n",
-       "      <td>0.020265</td>\n",
-       "      <td>29.984712</td>\n",
-       "      <td>0.008758</td>\n",
-       "      <td>0.076394</td>\n",
-       "      <td>0.654964</td>\n",
-       "      <td>25.029207</td>\n",
-       "      <td>10.954733</td>\n",
-       "      <td>28.664424</td>\n",
-       "      <td>0.302356</td>\n",
+       "      <td>0.630930</td>\n",
+       "      <td>1.256725</td>\n",
+       "      <td>0.011752</td>\n",
+       "      <td>0.001345</td>\n",
+       "      <td>29.995269</td>\n",
+       "      <td>7.117532</td>\n",
+       "      <td>0.031561</td>\n",
+       "      <td>0.631351</td>\n",
+       "      <td>24.108164</td>\n",
+       "      <td>10.602953</td>\n",
+       "      <td>27.727101</td>\n",
+       "      <td>0.301962</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>97</th>\n",
-       "      <td>61.838716</td>\n",
-       "      <td>24.957198</td>\n",
-       "      <td>5.551739</td>\n",
-       "      <td>7.652343</td>\n",
+       "      <td>62.603364</td>\n",
+       "      <td>23.533520</td>\n",
+       "      <td>6.588110</td>\n",
+       "      <td>7.275053</td>\n",
        "      <td>1.0</td>\n",
        "      <td>25.0</td>\n",
        "      <td>385.0</td>\n",
-       "      <td>1.818427</td>\n",
-       "      <td>1.009730</td>\n",
-       "      <td>6.615797</td>\n",
-       "      <td>0.008246</td>\n",
-       "      <td>29.950799</td>\n",
-       "      <td>0.009715</td>\n",
-       "      <td>0.000437</td>\n",
-       "      <td>0.633879</td>\n",
-       "      <td>24.046540</td>\n",
-       "      <td>10.591920</td>\n",
-       "      <td>27.693094</td>\n",
-       "      <td>0.301690</td>\n",
+       "      <td>0.670577</td>\n",
+       "      <td>1.358847</td>\n",
+       "      <td>0.087383</td>\n",
+       "      <td>0.019255</td>\n",
+       "      <td>29.990641</td>\n",
+       "      <td>3.268803</td>\n",
+       "      <td>0.018533</td>\n",
+       "      <td>0.649076</td>\n",
+       "      <td>24.926733</td>\n",
+       "      <td>10.905669</td>\n",
+       "      <td>28.537412</td>\n",
+       "      <td>0.302567</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>98</th>\n",
-       "      <td>61.838704</td>\n",
-       "      <td>24.957184</td>\n",
-       "      <td>5.551739</td>\n",
-       "      <td>7.652343</td>\n",
+       "      <td>62.603364</td>\n",
+       "      <td>23.533520</td>\n",
+       "      <td>6.588040</td>\n",
+       "      <td>7.275054</td>\n",
        "      <td>1.0</td>\n",
        "      <td>25.0</td>\n",
        "      <td>385.0</td>\n",
-       "      <td>1.793703</td>\n",
-       "      <td>1.058533</td>\n",
-       "      <td>7.029829</td>\n",
-       "      <td>0.020078</td>\n",
-       "      <td>29.938327</td>\n",
-       "      <td>0.035527</td>\n",
-       "      <td>0.001158</td>\n",
-       "      <td>0.631852</td>\n",
-       "      <td>23.953029</td>\n",
-       "      <td>10.557274</td>\n",
-       "      <td>27.600372</td>\n",
-       "      <td>0.301621</td>\n",
+       "      <td>0.674702</td>\n",
+       "      <td>1.834108</td>\n",
+       "      <td>0.004508</td>\n",
+       "      <td>0.003955</td>\n",
+       "      <td>29.993634</td>\n",
+       "      <td>11.073639</td>\n",
+       "      <td>0.006647</td>\n",
+       "      <td>0.613864</td>\n",
+       "      <td>23.365617</td>\n",
+       "      <td>10.325194</td>\n",
+       "      <td>26.984527</td>\n",
+       "      <td>0.301254</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>99</th>\n",
-       "      <td>61.838717</td>\n",
-       "      <td>24.957184</td>\n",
-       "      <td>5.551739</td>\n",
-       "      <td>7.652343</td>\n",
+       "      <td>62.603363</td>\n",
+       "      <td>23.533520</td>\n",
+       "      <td>6.588055</td>\n",
+       "      <td>7.275054</td>\n",
        "      <td>1.0</td>\n",
        "      <td>25.0</td>\n",
        "      <td>385.0</td>\n",
-       "      <td>1.654962</td>\n",
-       "      <td>1.006640</td>\n",
-       "      <td>2.102000</td>\n",
-       "      <td>0.020265</td>\n",
-       "      <td>29.870834</td>\n",
-       "      <td>0.008758</td>\n",
-       "      <td>0.076394</td>\n",
-       "      <td>0.655484</td>\n",
-       "      <td>25.035705</td>\n",
-       "      <td>10.957957</td>\n",
-       "      <td>28.672785</td>\n",
-       "      <td>0.302393</td>\n",
+       "      <td>0.618924</td>\n",
+       "      <td>1.886457</td>\n",
+       "      <td>0.008335</td>\n",
+       "      <td>0.050201</td>\n",
+       "      <td>29.961974</td>\n",
+       "      <td>12.264548</td>\n",
+       "      <td>0.002066</td>\n",
+       "      <td>0.608686</td>\n",
+       "      <td>23.158062</td>\n",
+       "      <td>10.247200</td>\n",
+       "      <td>26.776107</td>\n",
+       "      <td>0.301031</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -3480,48 +3482,48 @@
       ],
       "text/plain": [
        "          C3S        C2S       C3A      C4AF   RH     T  fineness        wc  \\\n",
-       "0   61.838704  24.957199  5.551739  7.652343  1.0  25.0     385.0  1.915181   \n",
-       "1   61.838704  24.957184  5.551739  7.652343  1.0  25.0     385.0  1.704539   \n",
-       "2   61.838705  24.957199  5.551739  7.652343  1.0  25.0     385.0  1.792135   \n",
-       "3   61.838722  24.957197  5.551739  7.652343  1.0  25.0     385.0  1.792218   \n",
-       "4   61.838704  24.957199  5.551739  7.652343  1.0  25.0     385.0  1.921395   \n",
+       "0   62.603364  23.533520  6.588032  7.275053  1.0  25.0     385.0  0.685210   \n",
+       "1   62.603366  23.533521  6.588035  7.275053  1.0  25.0     385.0  0.662060   \n",
+       "2   62.603363  23.533520  6.588032  7.275053  1.0  25.0     385.0  0.680431   \n",
+       "3   62.603366  23.533521  6.588032  7.275053  1.0  25.0     385.0  0.661828   \n",
+       "4   62.603366  23.533520  6.588042  7.275053  1.0  25.0     385.0  0.661796   \n",
        "..        ...        ...       ...       ...  ...   ...       ...       ...   \n",
-       "95  61.838703  24.957184  5.551739  7.652343  1.0  25.0     385.0  1.919377   \n",
-       "96  61.838705  24.957183  5.551739  7.652343  1.0  25.0     385.0  1.797621   \n",
-       "97  61.838716  24.957198  5.551739  7.652343  1.0  25.0     385.0  1.818427   \n",
-       "98  61.838704  24.957184  5.551739  7.652343  1.0  25.0     385.0  1.793703   \n",
-       "99  61.838717  24.957184  5.551739  7.652343  1.0  25.0     385.0  1.654962   \n",
+       "95  62.603364  23.533520  6.588031  7.275054  1.0  25.0     385.0  0.680730   \n",
+       "96  62.603363  23.533520  6.588031  7.275053  1.0  25.0     385.0  0.630930   \n",
+       "97  62.603364  23.533520  6.588110  7.275053  1.0  25.0     385.0  0.670577   \n",
+       "98  62.603364  23.533520  6.588040  7.275054  1.0  25.0     385.0  0.674702   \n",
+       "99  62.603363  23.533520  6.588055  7.275054  1.0  25.0     385.0  0.618924   \n",
        "\n",
-       "        CSH2  limestone  silica_fume      GGBFS   fly_ash  calcined_clay  \\\n",
-       "0   1.042400   0.000249     0.002993  14.742395  0.004392       0.001256   \n",
-       "1   1.018659  15.908218     0.030233  29.979750  0.034497       0.000646   \n",
-       "2   1.030332   0.014994     0.013240  26.707983  0.005924       0.001003   \n",
-       "3   1.008033   0.148582     0.013242  24.717318  0.223672       0.000723   \n",
-       "4   1.042109   0.000249     0.004243  17.325610  0.004388       0.001256   \n",
-       "..       ...        ...          ...        ...       ...            ...   \n",
-       "95  1.036365   0.000603     0.024658  21.870000  0.028738       0.000317   \n",
-       "96  1.033355   2.102000     0.020265  29.984712  0.008758       0.076394   \n",
-       "97  1.009730   6.615797     0.008246  29.950799  0.009715       0.000437   \n",
-       "98  1.058533   7.029829     0.020078  29.938327  0.035527       0.001158   \n",
-       "99  1.006640   2.102000     0.020265  29.870834  0.008758       0.076394   \n",
+       "        CSH2  limestone  silica_fume      GGBFS    fly_ash  calcined_clay  \\\n",
+       "0   1.015839   0.006129     0.003577  15.212557   0.000015       0.003511   \n",
+       "1   1.503673   0.206009     0.028453  29.999454  16.343356       0.049667   \n",
+       "2   1.081513   0.006124     0.001727  18.400506   0.001078       0.003511   \n",
+       "3   1.446897   0.000740     0.027612  26.238262   0.000742       0.020709   \n",
+       "4   1.507175   0.000715     0.028340  29.983549  10.387092       0.049130   \n",
+       "..       ...        ...          ...        ...        ...            ...   \n",
+       "95  1.354736   0.067227     0.037370  29.984452   5.560785       0.016092   \n",
+       "96  1.256725   0.011752     0.001345  29.995269   7.117532       0.031561   \n",
+       "97  1.358847   0.087383     0.019255  29.990641   3.268803       0.018533   \n",
+       "98  1.834108   0.004508     0.003955  29.993634  11.073639       0.006647   \n",
+       "99  1.886457   0.008335     0.050201  29.961974  12.264548       0.002066   \n",
        "\n",
        "         CO2          K          G          E         P  \n",
-       "0   0.747416  25.991403  11.468673  29.984423  0.305031  \n",
-       "1   0.593405  22.479233  10.000328  26.113135  0.299961  \n",
-       "2   0.681609  25.768763  11.250276  29.448135  0.303608  \n",
-       "3   0.689725  25.760603  11.264672  29.480766  0.304022  \n",
-       "4   0.732098  26.015368  11.440281  29.922042  0.305027  \n",
+       "0   0.744554  26.212646  11.529294  30.155118  0.305501  \n",
+       "1   0.590861  22.508705  10.000705  26.118110  0.300171  \n",
+       "2   0.725914  26.224577  11.490249  30.066211  0.305402  \n",
+       "3   0.683903  25.982177  11.320540  29.639722  0.304123  \n",
+       "4   0.616671  23.478716  10.367908  27.098597  0.301383  \n",
        "..       ...        ...        ...        ...       ...  \n",
-       "95  0.706486  25.948220  11.361216  29.729754  0.304594  \n",
-       "96  0.654964  25.029207  10.954733  28.664424  0.302356  \n",
-       "97  0.633879  24.046540  10.591920  27.693094  0.301690  \n",
-       "98  0.631852  23.953029  10.557274  27.600372  0.301621  \n",
-       "99  0.655484  25.035705  10.957957  28.672785  0.302393  \n",
+       "95  0.638225  24.410842  10.715434  28.028023  0.302211  \n",
+       "96  0.631351  24.108164  10.602953  27.727101  0.301962  \n",
+       "97  0.649076  24.926733  10.905669  28.537412  0.302567  \n",
+       "98  0.613864  23.365617  10.325194  26.984527  0.301254  \n",
+       "99  0.608686  23.158062  10.247200  26.776107  0.301031  \n",
        "\n",
        "[100 rows x 19 columns]"
       ]
      },
-     "execution_count": 178,
+     "execution_count": 280,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3532,7 +3534,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 179,
+   "execution_count": 281,
    "id": "32cfd717-64e7-4d3c-8791-4db47c27df4a",
    "metadata": {},
    "outputs": [
@@ -3581,113 +3583,113 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>61.838704</td>\n",
-       "      <td>24.957184</td>\n",
-       "      <td>5.551739</td>\n",
-       "      <td>7.652343</td>\n",
+       "      <td>62.603366</td>\n",
+       "      <td>23.533521</td>\n",
+       "      <td>6.588035</td>\n",
+       "      <td>7.275053</td>\n",
        "      <td>1.0</td>\n",
        "      <td>25.0</td>\n",
        "      <td>385.0</td>\n",
-       "      <td>1.704539</td>\n",
-       "      <td>1.018659</td>\n",
-       "      <td>15.908218</td>\n",
-       "      <td>0.030233</td>\n",
-       "      <td>29.979750</td>\n",
-       "      <td>0.034497</td>\n",
-       "      <td>0.000646</td>\n",
-       "      <td>0.593405</td>\n",
-       "      <td>22.479233</td>\n",
-       "      <td>10.000328</td>\n",
-       "      <td>26.113135</td>\n",
-       "      <td>0.299961</td>\n",
+       "      <td>0.662060</td>\n",
+       "      <td>1.503673</td>\n",
+       "      <td>0.206009</td>\n",
+       "      <td>0.028453</td>\n",
+       "      <td>29.999454</td>\n",
+       "      <td>16.343356</td>\n",
+       "      <td>0.049667</td>\n",
+       "      <td>0.590861</td>\n",
+       "      <td>22.508705</td>\n",
+       "      <td>10.000705</td>\n",
+       "      <td>26.118110</td>\n",
+       "      <td>0.300171</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>29</th>\n",
-       "      <td>61.838717</td>\n",
-       "      <td>24.957184</td>\n",
-       "      <td>5.551739</td>\n",
-       "      <td>7.652343</td>\n",
+       "      <th>85</th>\n",
+       "      <td>62.603366</td>\n",
+       "      <td>23.533520</td>\n",
+       "      <td>6.588035</td>\n",
+       "      <td>7.275053</td>\n",
        "      <td>1.0</td>\n",
        "      <td>25.0</td>\n",
        "      <td>385.0</td>\n",
-       "      <td>1.792135</td>\n",
-       "      <td>1.196305</td>\n",
-       "      <td>15.665480</td>\n",
-       "      <td>0.013240</td>\n",
-       "      <td>29.850700</td>\n",
-       "      <td>0.006060</td>\n",
-       "      <td>0.000515</td>\n",
-       "      <td>0.595053</td>\n",
-       "      <td>22.526378</td>\n",
-       "      <td>10.018785</td>\n",
-       "      <td>26.162233</td>\n",
-       "      <td>0.300052</td>\n",
+       "      <td>0.662576</td>\n",
+       "      <td>1.503673</td>\n",
+       "      <td>0.103703</td>\n",
+       "      <td>0.028453</td>\n",
+       "      <td>29.999275</td>\n",
+       "      <td>16.343356</td>\n",
+       "      <td>0.050015</td>\n",
+       "      <td>0.591271</td>\n",
+       "      <td>22.531245</td>\n",
+       "      <td>10.008888</td>\n",
+       "      <td>26.140071</td>\n",
+       "      <td>0.300182</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>61.838705</td>\n",
-       "      <td>24.957199</td>\n",
-       "      <td>5.551739</td>\n",
-       "      <td>7.652343</td>\n",
+       "      <th>73</th>\n",
+       "      <td>62.603363</td>\n",
+       "      <td>23.533520</td>\n",
+       "      <td>6.588031</td>\n",
+       "      <td>7.275053</td>\n",
        "      <td>1.0</td>\n",
        "      <td>25.0</td>\n",
        "      <td>385.0</td>\n",
-       "      <td>1.792135</td>\n",
-       "      <td>1.041043</td>\n",
-       "      <td>15.494275</td>\n",
-       "      <td>0.013240</td>\n",
-       "      <td>29.610900</td>\n",
-       "      <td>0.005970</td>\n",
-       "      <td>0.001003</td>\n",
-       "      <td>0.596647</td>\n",
-       "      <td>22.569955</td>\n",
-       "      <td>10.036368</td>\n",
-       "      <td>26.208849</td>\n",
-       "      <td>0.300163</td>\n",
+       "      <td>0.659868</td>\n",
+       "      <td>1.342499</td>\n",
+       "      <td>0.003838</td>\n",
+       "      <td>0.014957</td>\n",
+       "      <td>29.967415</td>\n",
+       "      <td>16.231694</td>\n",
+       "      <td>0.052179</td>\n",
+       "      <td>0.592286</td>\n",
+       "      <td>22.577818</td>\n",
+       "      <td>10.026273</td>\n",
+       "      <td>26.186573</td>\n",
+       "      <td>0.300231</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>22</th>\n",
-       "      <td>61.838703</td>\n",
-       "      <td>24.957184</td>\n",
-       "      <td>5.551739</td>\n",
-       "      <td>7.652343</td>\n",
+       "      <th>75</th>\n",
+       "      <td>62.603363</td>\n",
+       "      <td>23.533520</td>\n",
+       "      <td>6.588042</td>\n",
+       "      <td>7.275053</td>\n",
        "      <td>1.0</td>\n",
        "      <td>25.0</td>\n",
        "      <td>385.0</td>\n",
-       "      <td>1.647595</td>\n",
-       "      <td>1.004332</td>\n",
-       "      <td>14.542496</td>\n",
-       "      <td>0.057089</td>\n",
-       "      <td>29.941636</td>\n",
-       "      <td>0.007835</td>\n",
-       "      <td>0.000158</td>\n",
-       "      <td>0.599127</td>\n",
-       "      <td>22.674532</td>\n",
-       "      <td>10.075265</td>\n",
-       "      <td>26.312924</td>\n",
-       "      <td>0.300255</td>\n",
+       "      <td>0.660129</td>\n",
+       "      <td>1.400679</td>\n",
+       "      <td>0.004020</td>\n",
+       "      <td>0.014957</td>\n",
+       "      <td>29.967415</td>\n",
+       "      <td>16.067326</td>\n",
+       "      <td>0.016007</td>\n",
+       "      <td>0.593045</td>\n",
+       "      <td>22.606960</td>\n",
+       "      <td>10.037299</td>\n",
+       "      <td>26.216018</td>\n",
+       "      <td>0.300269</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>88</th>\n",
-       "      <td>61.838706</td>\n",
-       "      <td>24.957184</td>\n",
-       "      <td>5.551738</td>\n",
-       "      <td>7.652343</td>\n",
+       "      <th>82</th>\n",
+       "      <td>62.603366</td>\n",
+       "      <td>23.533520</td>\n",
+       "      <td>6.588132</td>\n",
+       "      <td>7.275054</td>\n",
        "      <td>1.0</td>\n",
        "      <td>25.0</td>\n",
        "      <td>385.0</td>\n",
-       "      <td>1.654165</td>\n",
-       "      <td>1.004298</td>\n",
-       "      <td>14.542496</td>\n",
-       "      <td>0.009431</td>\n",
-       "      <td>29.941437</td>\n",
-       "      <td>0.000724</td>\n",
-       "      <td>0.009981</td>\n",
-       "      <td>0.599323</td>\n",
-       "      <td>22.684575</td>\n",
-       "      <td>10.078921</td>\n",
-       "      <td>26.322730</td>\n",
-       "      <td>0.300260</td>\n",
+       "      <td>0.655816</td>\n",
+       "      <td>1.414044</td>\n",
+       "      <td>0.001311</td>\n",
+       "      <td>0.007386</td>\n",
+       "      <td>29.924843</td>\n",
+       "      <td>15.823660</td>\n",
+       "      <td>0.019599</td>\n",
+       "      <td>0.594219</td>\n",
+       "      <td>22.644851</td>\n",
+       "      <td>10.051938</td>\n",
+       "      <td>26.255020</td>\n",
+       "      <td>0.300335</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>...</th>\n",
@@ -3713,113 +3715,113 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5</th>\n",
-       "      <td>61.838717</td>\n",
-       "      <td>24.957183</td>\n",
-       "      <td>5.551739</td>\n",
-       "      <td>7.652343</td>\n",
+       "      <td>62.603366</td>\n",
+       "      <td>23.533521</td>\n",
+       "      <td>6.588032</td>\n",
+       "      <td>7.275054</td>\n",
        "      <td>1.0</td>\n",
        "      <td>25.0</td>\n",
        "      <td>385.0</td>\n",
-       "      <td>1.751514</td>\n",
-       "      <td>1.018509</td>\n",
-       "      <td>0.019863</td>\n",
-       "      <td>0.013255</td>\n",
-       "      <td>16.019667</td>\n",
-       "      <td>0.006064</td>\n",
-       "      <td>0.010795</td>\n",
-       "      <td>0.739516</td>\n",
-       "      <td>25.991786</td>\n",
-       "      <td>11.450122</td>\n",
-       "      <td>29.941631</td>\n",
-       "      <td>0.305040</td>\n",
+       "      <td>0.636987</td>\n",
+       "      <td>1.079872</td>\n",
+       "      <td>0.003597</td>\n",
+       "      <td>0.007235</td>\n",
+       "      <td>17.374403</td>\n",
+       "      <td>0.001059</td>\n",
+       "      <td>0.020101</td>\n",
+       "      <td>0.731711</td>\n",
+       "      <td>26.220418</td>\n",
+       "      <td>11.502001</td>\n",
+       "      <td>30.092928</td>\n",
+       "      <td>0.305456</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>94</th>\n",
-       "      <td>61.838706</td>\n",
-       "      <td>24.957198</td>\n",
-       "      <td>5.551740</td>\n",
-       "      <td>7.652343</td>\n",
+       "      <th>8</th>\n",
+       "      <td>62.603363</td>\n",
+       "      <td>23.533521</td>\n",
+       "      <td>6.588031</td>\n",
+       "      <td>7.275052</td>\n",
        "      <td>1.0</td>\n",
        "      <td>25.0</td>\n",
        "      <td>385.0</td>\n",
-       "      <td>1.755514</td>\n",
-       "      <td>1.037234</td>\n",
-       "      <td>0.000316</td>\n",
-       "      <td>0.030363</td>\n",
-       "      <td>15.571488</td>\n",
-       "      <td>0.001613</td>\n",
-       "      <td>0.001242</td>\n",
-       "      <td>0.742272</td>\n",
-       "      <td>25.991173</td>\n",
-       "      <td>11.456417</td>\n",
-       "      <td>29.956091</td>\n",
-       "      <td>0.305040</td>\n",
+       "      <td>0.674213</td>\n",
+       "      <td>1.185355</td>\n",
+       "      <td>0.000772</td>\n",
+       "      <td>0.004095</td>\n",
+       "      <td>16.815185</td>\n",
+       "      <td>0.000421</td>\n",
+       "      <td>0.028527</td>\n",
+       "      <td>0.734966</td>\n",
+       "      <td>26.214097</td>\n",
+       "      <td>11.507188</td>\n",
+       "      <td>30.104115</td>\n",
+       "      <td>0.305474</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>62</th>\n",
-       "      <td>61.838706</td>\n",
-       "      <td>24.957183</td>\n",
-       "      <td>5.551739</td>\n",
-       "      <td>7.652343</td>\n",
+       "      <th>17</th>\n",
+       "      <td>62.603366</td>\n",
+       "      <td>23.533520</td>\n",
+       "      <td>6.588032</td>\n",
+       "      <td>7.275054</td>\n",
        "      <td>1.0</td>\n",
        "      <td>25.0</td>\n",
        "      <td>385.0</td>\n",
-       "      <td>1.757118</td>\n",
-       "      <td>1.037349</td>\n",
-       "      <td>0.009103</td>\n",
-       "      <td>0.004130</td>\n",
-       "      <td>15.478988</td>\n",
-       "      <td>0.005924</td>\n",
-       "      <td>0.000805</td>\n",
-       "      <td>0.742909</td>\n",
-       "      <td>25.994318</td>\n",
-       "      <td>11.458920</td>\n",
-       "      <td>29.962301</td>\n",
-       "      <td>0.305042</td>\n",
+       "      <td>0.637513</td>\n",
+       "      <td>1.418262</td>\n",
+       "      <td>0.003626</td>\n",
+       "      <td>0.006959</td>\n",
+       "      <td>15.883283</td>\n",
+       "      <td>0.001098</td>\n",
+       "      <td>0.020107</td>\n",
+       "      <td>0.740456</td>\n",
+       "      <td>26.199210</td>\n",
+       "      <td>11.514685</td>\n",
+       "      <td>30.119503</td>\n",
+       "      <td>0.305486</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>71</th>\n",
-       "      <td>61.838703</td>\n",
-       "      <td>24.957199</td>\n",
-       "      <td>5.551739</td>\n",
-       "      <td>7.652343</td>\n",
+       "      <th>65</th>\n",
+       "      <td>62.603364</td>\n",
+       "      <td>23.533520</td>\n",
+       "      <td>6.588032</td>\n",
+       "      <td>7.275053</td>\n",
        "      <td>1.0</td>\n",
        "      <td>25.0</td>\n",
        "      <td>385.0</td>\n",
-       "      <td>1.915181</td>\n",
-       "      <td>1.042400</td>\n",
-       "      <td>0.019872</td>\n",
-       "      <td>0.002583</td>\n",
-       "      <td>14.742395</td>\n",
-       "      <td>0.004392</td>\n",
-       "      <td>0.001256</td>\n",
-       "      <td>0.747291</td>\n",
-       "      <td>25.985243</td>\n",
-       "      <td>11.466439</td>\n",
-       "      <td>29.978426</td>\n",
-       "      <td>0.305027</td>\n",
+       "      <td>0.685341</td>\n",
+       "      <td>1.000227</td>\n",
+       "      <td>0.007881</td>\n",
+       "      <td>0.003556</td>\n",
+       "      <td>15.661174</td>\n",
+       "      <td>0.000015</td>\n",
+       "      <td>0.002425</td>\n",
+       "      <td>0.741862</td>\n",
+       "      <td>26.218715</td>\n",
+       "      <td>11.525000</td>\n",
+       "      <td>30.145990</td>\n",
+       "      <td>0.305503</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>61.838704</td>\n",
-       "      <td>24.957199</td>\n",
-       "      <td>5.551739</td>\n",
-       "      <td>7.652343</td>\n",
+       "      <td>62.603364</td>\n",
+       "      <td>23.533520</td>\n",
+       "      <td>6.588032</td>\n",
+       "      <td>7.275053</td>\n",
        "      <td>1.0</td>\n",
        "      <td>25.0</td>\n",
        "      <td>385.0</td>\n",
-       "      <td>1.915181</td>\n",
-       "      <td>1.042400</td>\n",
-       "      <td>0.000249</td>\n",
-       "      <td>0.002993</td>\n",
-       "      <td>14.742395</td>\n",
-       "      <td>0.004392</td>\n",
-       "      <td>0.001256</td>\n",
-       "      <td>0.747416</td>\n",
-       "      <td>25.991403</td>\n",
-       "      <td>11.468673</td>\n",
-       "      <td>29.984423</td>\n",
-       "      <td>0.305031</td>\n",
+       "      <td>0.685210</td>\n",
+       "      <td>1.015839</td>\n",
+       "      <td>0.006129</td>\n",
+       "      <td>0.003577</td>\n",
+       "      <td>15.212557</td>\n",
+       "      <td>0.000015</td>\n",
+       "      <td>0.003511</td>\n",
+       "      <td>0.744554</td>\n",
+       "      <td>26.212646</td>\n",
+       "      <td>11.529294</td>\n",
+       "      <td>30.155118</td>\n",
+       "      <td>0.305501</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -3828,48 +3830,48 @@
       ],
       "text/plain": [
        "          C3S        C2S       C3A      C4AF   RH     T  fineness        wc  \\\n",
-       "1   61.838704  24.957184  5.551739  7.652343  1.0  25.0     385.0  1.704539   \n",
-       "29  61.838717  24.957184  5.551739  7.652343  1.0  25.0     385.0  1.792135   \n",
-       "6   61.838705  24.957199  5.551739  7.652343  1.0  25.0     385.0  1.792135   \n",
-       "22  61.838703  24.957184  5.551739  7.652343  1.0  25.0     385.0  1.647595   \n",
-       "88  61.838706  24.957184  5.551738  7.652343  1.0  25.0     385.0  1.654165   \n",
+       "1   62.603366  23.533521  6.588035  7.275053  1.0  25.0     385.0  0.662060   \n",
+       "85  62.603366  23.533520  6.588035  7.275053  1.0  25.0     385.0  0.662576   \n",
+       "73  62.603363  23.533520  6.588031  7.275053  1.0  25.0     385.0  0.659868   \n",
+       "75  62.603363  23.533520  6.588042  7.275053  1.0  25.0     385.0  0.660129   \n",
+       "82  62.603366  23.533520  6.588132  7.275054  1.0  25.0     385.0  0.655816   \n",
        "..        ...        ...       ...       ...  ...   ...       ...       ...   \n",
-       "5   61.838717  24.957183  5.551739  7.652343  1.0  25.0     385.0  1.751514   \n",
-       "94  61.838706  24.957198  5.551740  7.652343  1.0  25.0     385.0  1.755514   \n",
-       "62  61.838706  24.957183  5.551739  7.652343  1.0  25.0     385.0  1.757118   \n",
-       "71  61.838703  24.957199  5.551739  7.652343  1.0  25.0     385.0  1.915181   \n",
-       "0   61.838704  24.957199  5.551739  7.652343  1.0  25.0     385.0  1.915181   \n",
+       "5   62.603366  23.533521  6.588032  7.275054  1.0  25.0     385.0  0.636987   \n",
+       "8   62.603363  23.533521  6.588031  7.275052  1.0  25.0     385.0  0.674213   \n",
+       "17  62.603366  23.533520  6.588032  7.275054  1.0  25.0     385.0  0.637513   \n",
+       "65  62.603364  23.533520  6.588032  7.275053  1.0  25.0     385.0  0.685341   \n",
+       "0   62.603364  23.533520  6.588032  7.275053  1.0  25.0     385.0  0.685210   \n",
        "\n",
-       "        CSH2  limestone  silica_fume      GGBFS   fly_ash  calcined_clay  \\\n",
-       "1   1.018659  15.908218     0.030233  29.979750  0.034497       0.000646   \n",
-       "29  1.196305  15.665480     0.013240  29.850700  0.006060       0.000515   \n",
-       "6   1.041043  15.494275     0.013240  29.610900  0.005970       0.001003   \n",
-       "22  1.004332  14.542496     0.057089  29.941636  0.007835       0.000158   \n",
-       "88  1.004298  14.542496     0.009431  29.941437  0.000724       0.009981   \n",
-       "..       ...        ...          ...        ...       ...            ...   \n",
-       "5   1.018509   0.019863     0.013255  16.019667  0.006064       0.010795   \n",
-       "94  1.037234   0.000316     0.030363  15.571488  0.001613       0.001242   \n",
-       "62  1.037349   0.009103     0.004130  15.478988  0.005924       0.000805   \n",
-       "71  1.042400   0.019872     0.002583  14.742395  0.004392       0.001256   \n",
-       "0   1.042400   0.000249     0.002993  14.742395  0.004392       0.001256   \n",
+       "        CSH2  limestone  silica_fume      GGBFS    fly_ash  calcined_clay  \\\n",
+       "1   1.503673   0.206009     0.028453  29.999454  16.343356       0.049667   \n",
+       "85  1.503673   0.103703     0.028453  29.999275  16.343356       0.050015   \n",
+       "73  1.342499   0.003838     0.014957  29.967415  16.231694       0.052179   \n",
+       "75  1.400679   0.004020     0.014957  29.967415  16.067326       0.016007   \n",
+       "82  1.414044   0.001311     0.007386  29.924843  15.823660       0.019599   \n",
+       "..       ...        ...          ...        ...        ...            ...   \n",
+       "5   1.079872   0.003597     0.007235  17.374403   0.001059       0.020101   \n",
+       "8   1.185355   0.000772     0.004095  16.815185   0.000421       0.028527   \n",
+       "17  1.418262   0.003626     0.006959  15.883283   0.001098       0.020107   \n",
+       "65  1.000227   0.007881     0.003556  15.661174   0.000015       0.002425   \n",
+       "0   1.015839   0.006129     0.003577  15.212557   0.000015       0.003511   \n",
        "\n",
        "         CO2          K          G          E         P  \n",
-       "1   0.593405  22.479233  10.000328  26.113135  0.299961  \n",
-       "29  0.595053  22.526378  10.018785  26.162233  0.300052  \n",
-       "6   0.596647  22.569955  10.036368  26.208849  0.300163  \n",
-       "22  0.599127  22.674532  10.075265  26.312924  0.300255  \n",
-       "88  0.599323  22.684575  10.078921  26.322730  0.300260  \n",
+       "1   0.590861  22.508705  10.000705  26.118110  0.300171  \n",
+       "85  0.591271  22.531245  10.008888  26.140071  0.300182  \n",
+       "73  0.592286  22.577818  10.026273  26.186573  0.300231  \n",
+       "75  0.593045  22.606960  10.037299  26.216018  0.300269  \n",
+       "82  0.594219  22.644851  10.051938  26.255020  0.300335  \n",
        "..       ...        ...        ...        ...       ...  \n",
-       "5   0.739516  25.991786  11.450122  29.941631  0.305040  \n",
-       "94  0.742272  25.991173  11.456417  29.956091  0.305040  \n",
-       "62  0.742909  25.994318  11.458920  29.962301  0.305042  \n",
-       "71  0.747291  25.985243  11.466439  29.978426  0.305027  \n",
-       "0   0.747416  25.991403  11.468673  29.984423  0.305031  \n",
+       "5   0.731711  26.220418  11.502001  30.092928  0.305456  \n",
+       "8   0.734966  26.214097  11.507188  30.104115  0.305474  \n",
+       "17  0.740456  26.199210  11.514685  30.119503  0.305486  \n",
+       "65  0.741862  26.218715  11.525000  30.145990  0.305503  \n",
+       "0   0.744554  26.212646  11.529294  30.155118  0.305501  \n",
        "\n",
        "[100 rows x 19 columns]"
       ]
      },
-     "execution_count": 179,
+     "execution_count": 281,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3880,7 +3882,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 180,
+   "execution_count": 282,
    "id": "8d806652-1a67-4f3d-a0dc-ee6bde38616d",
    "metadata": {},
    "outputs": [
@@ -3935,7 +3937,7 @@
        " 'success']"
       ]
      },
-     "execution_count": 180,
+     "execution_count": 282,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3946,216 +3948,216 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 181,
+   "execution_count": 283,
    "id": "ffab175b-6bc9-489a-97b6-67b4ca5a378c",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
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+       "       [-1.31934382e+01, -2.60379425e-01, -1.68113622e+01,\n",
+       "        -1.51064331e-01],\n",
+       "       [-1.50773438e+01, -9.61013552e-01, -1.86856642e+01,\n",
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+       "       [-1.41284451e+01, -6.14481594e-01, -1.77566579e+01,\n",
+       "        -1.52140174e-01],\n",
+       "       [-1.44108416e+01, -7.15434237e-01, -1.80280226e+01,\n",
+       "        -1.52210595e-01],\n",
+       "       [-1.41081643e+01, -6.02953183e-01, -1.77271005e+01,\n",
+       "        -1.51962295e-01],\n",
+       "       [-1.49267333e+01, -9.05669241e-01, -1.85374119e+01,\n",
+       "        -1.52567371e-01],\n",
+       "       [-1.33656171e+01, -3.25194105e-01, -1.69845268e+01,\n",
+       "        -1.51253855e-01],\n",
+       "       [-1.31580622e+01, -2.47199947e-01, -1.67761070e+01,\n",
+       "        -1.51031447e-01]])"
       ]
      },
-     "execution_count": 181,
+     "execution_count": 283,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4166,7 +4168,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 182,
+   "execution_count": 284,
    "id": "4accbb40-558e-4d65-890b-c278e8774079",
    "metadata": {},
    "outputs": [
@@ -4275,7 +4277,7 @@
        "       [0.]])"
       ]
      },
-     "execution_count": 182,
+     "execution_count": 284,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4286,7 +4288,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 183,
+   "execution_count": 285,
    "id": "48fac5c3-064a-48c3-bd2e-78aab973c47d",
    "metadata": {},
    "outputs": [
@@ -4294,8 +4296,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Scale f1: [0.593404885360077, 0.7474156834393358]\n",
-      "Scale f2: [-41.30668447880315, -35.87907863243549]\n"
+      "Scale f1: [590.8608885824542, 744.5538997833627]\n",
+      "Scale f2: [-41.58667965239494, -35.90127717992718]\n"
      ]
     }
    ],
@@ -4308,7 +4310,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 184,
+   "execution_count": 286,
    "id": "d931589b-5d1a-4599-bae7-922704fc135e",
    "metadata": {},
    "outputs": [],
@@ -4320,13 +4322,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 200,
+   "execution_count": 287,
    "id": "61775789-ef1b-427b-98ce-b3e302c5210f",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 700x500 with 1 Axes>"
       ]
@@ -4350,7 +4352,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 201,
+   "execution_count": 288,
    "id": "63acb576-0a77-4409-a8a1-744b92d8db25",
    "metadata": {},
    "outputs": [
@@ -4364,7 +4366,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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Cs2fP4uXLl1n99mlavBjw8gIqVABcXYG5cwFjYyB/fnl88GAgPFxv0yMiIqJcIMsDqdDQUNjZ2WmN2dnZIS4uDuFpRCoxMTGIiorSumW2v/4C6teX1aiGDYG7d4E9e4ATJ4CxY4Fnz4D+/TP9bYmIiMiAZMupPY1Go3Vf/T8B6b/jiWbNmgVbW9ukm6OjY6bPKX9+4Ndfgfh4YN062dJLZG4OWFgAP/0E3L6d6W9NREREBiLLA6nixYsjNDRUaywsLAwmJiYoXLhwqs8ZP348IiMjk27BwcGZPq8OHYBTp4AaNYBXp/H4MbB8OVCmjCScr10LJCRk+tsTERGRAcjyQKp27drw8/PTGjt48CCqV68OU1PTVJ9jbm4OGxsbrVtm+/xzCZDOnAG2bQMCA4EffgAcHYEHD4CgILlu2jSgalUgC2I5IiIiyuV0DqSePHmC8+fP4/z58wCkvMH58+cR9P/IY/z48ejZs2fS9d7e3rh9+zZGjRqFK1euYM2aNVi9ejVGjx6dOZ8gg8qUARYuBGJigE6d5H7PnsDz53Kar1UroHhx4NAhIDJS6kzFx+t1ykRERJTD6BxInT17FlWrVkXVqlUBAKNGjULVqlUxefJkAMC9e/eSgioAcHFxga+vL37//XdUqVIFM2bMwOLFi/Va+iDRgAHAhx8Clpay1QdIovmZM8DGjUDjxsC4ccCTJ8DFi8DQoVIigYiIiAgANErl/NKTUVFRsLW1RWRkZKZv8z19CowcKblQcXEy5ugIFCgAXL4MtGgBVKsGzJkjq1UNGwK//CIJ6URERGR4dIk78nyvvfz5ge++k8KcAPDbb8Dw4cCVK8CBA8DPPwOTJwOFCgGdOwPHjknBTiIiIqI8H0glatMGMDICLl2SKucdOgCNGsljfn7AnTtAly5A9erAvHkScPE0HxERUd7GQOr/HB2lJczYscC1a4C7O/DyJfDjj0C3boCTk6xInToFRERIkFWpkmz/ERERUd7EQOoVPj4SNMXFSUBlZSXBU9GiUg5h+HCgXz+gWDFg2TLJmapfn61kiIiI8ioGUq8wN5dtvSFDADMzCab8/eXUXo8ewKefAps3y0rVwIFS9TwiQhoc//WXvmdPRERE2Y2BVCpmzADKlgW+/RZYulTyo5SS/KinT6XJ8eHDshJVuzYQHS2n+W7c0PfMiYiIKDsxkEpFgQLA0aNAr16SIwUAO3ZIK5nSpaVIZ4MGct/BAXBzA/Llk0KeRERElHcwkEpDoUJS+TwsTHKkevSQPClvb2loDACPHgG+vlK4s2dPYOdOvU6ZiIiIshkDqTfIlw8YNQpYuVKS0C0tZfyff6SNjKkp0L+/rGK9eKHXqRIREVE2YyCVDmPHAsOGye/DhgGlSgEVKgD//isrUsWLy9Zf8eLS4NjRUcojbNsmuVVERERkmBhIpYORkWzzzZsnjYtdXID164Fbt4AqVaTFjL+/JJu7uko9qpcvpRnywIEMpoiIiAyVib4nkJuMGiUn9WbPlhYyq1dLM+OHDyVv6vRpKYWQaO1a4JNPgI8+ksrpREREZFi4IqUDjQaYNUvayPToAZQsKQU6LS1l++/VIAoA+vQBatWSXn5ERERkeLgilQGVKgFz58rvQUHAnDmAp2fq19apA+zenX1zIyIiouzDQOotFSwImJjIKb4mTZLH4+OlHMIPPwDPnknDY09P4Pp1KeDp5iZ1qgoV0t/ciYiI6O1olMr5qdBRUVGwtbVFZGQkbGxs9D2dFDp1Av78Ezh7Vop0xsQA7drJiT5AAqiLFyWAsrEBKlaU5HRzcznt5+Wl3/kTERFRMl3iDuZIZYKvvpLWMdWqyZZf797AgQMSKNWrJ61lYmNlPCoKGD9e2s68/z7Qti0QHKzvT0BEREQZwUAqE5QtC5w6JUHThAnAli1SqHPUKKkltWaNJKOvXSvJ50uXAsWKSQNkIyMmoxMREeVWDKQySZkywIYNwM2bcn/9elmpunkTePJEtvoAaSdz+bL8bmMj23qnTulnzkRERPR2mGyeyQoXluTzxO06c3P5GRkpP2/flgBqyRLgyBHg+HHA3l7ayyT28CMiIqLcgStSmczCQvKeli6V4KlyZcDZGfDxkRN7W7dKyYRRoyTYCgsDLlyQU3zMlSIiIspdGEhlgenTpdp57dqyxdezJ/DjjxJUxcVJi5lvvgFCQqSlzJkzctKvc2d9z5yIiIh0wfIHWeTSJeCzz4CDB+W+sbFURo+LS76mUSPgww9llerKFQmm+vWTAp8FC+pn3kRERHkdyx/kAO++KyUQQkKAv/8GHjwABg+WfKitWyXQsrWVU34uLsDMmRJorV8v1dDDw/X9CYiIiOhNGEhlMXt74L33ZIXJxkbqSbVtC5w7J8U4d+6UW+/egFLAjBnA/fvApEn6njkRERG9CQOpbNSuHRARAWzaBKxaJVt7rVvLY4sXywm/vn2BIUOktUxMjH7nS0RERK/H8gfZqEoV6bnXvz9gaSmtZS5elKBq8WJg4kQpn1CjhlRKT1ydKloU6NEDqFBB35+AiIiIXsVk82wWGytVzpcsARISZKxgQWDMGGDcOMmT6tRJKqJbWEiu1c2bspL12WfSgkaj0e9nICIiMmS6xB1ckcpmZmbAwoWSYD5iBDB/PuDtLStUALB3rwRRZctKWYSCBWWLb8kSCbbeeQcYMECfn4CIiIgScUVKT2JjgZYtgd9/B7p3lz59V69KkBUfDwQGAo6O2s/p0gX46y+5jqtSREREWYMrUrmAmRmwe7cU5lyxQhoaFyggCefdu6cMogCgQwcpnRAeLnlTREREpF88tadH5uaSF3XzJvDypVRDt7eXMgipiYqSnzl/DZGIiChvYCCVQ5iYyHZdq1ay6vTwYfJj8fGSSzVokNwvUUJWpy5e1M9ciYiISDCQymGGDgWMjKTG1K+/As+fS3A1erQknU+YICf3/v4b8PQE/vxT3zMmIiLKu5hsngNduCB1o15dcSpQAFi9Wop6AlJn6v33Jdfq1Cm9TJOIiMggsddeLufmJsHUqVOy6uTsLIU5E4MoAPD3B0xNgT/+AJycpMZUcLD+5kxERJQXMZDKoTQaoFYtqS9Vo4asPCXy8QHq10/Oo6peHVi3DqhWTZohExERUfZgIJXDlS4thTnj4+X+rVuSRzV0aHIl9EWLgGvX5MRfYvNjIiIiynoMpHK4/v2BoCBg9my5v2YNYG0NDBsGzJwJfPSR1JwqXBj46ivZ8jt/Xq9TJiIiyjNYkDOHc3cHpkyRhsa7d8spPktL2caztQWWLgX8/IANG4DQUHnO0aNA1ar6nTcREVFewBWpXGDqVOCXX4BChYAbN4CwMGDwYElGHz0a8PKSlahnz+T6kSMlj4qIiIiyFgOpXKJZM2DfPuDkScmXsrcHVq0C9uwBduyQQComBrCykscGDwbmzQMSEvQ9cyIiIsPFQCqXcXMDhg+X2+zZQMOGUhrB2VmKc1pZAQ0aSPuZMWOA9u2l/QwRERFlPgZSudA330iieUwMcOCAtI65fx8YMAC4exfYuFGS1B0dZUtwzhx9z5iIiMgwMZDKhTQaCZQAYNkyoGlTqSW1fLm0lwEkj6p4caBPH8mXSiyfQERERJmHgVQuVbSoFOVcs0ZayTRpkvzYzZvArl1Ax44yHhKi3QSZiIiIMgcDqVxsxgypGfXoEXD6NBAYKIFV/fqyrdetG7Btm1w7ejSwcycQF6fXKRMRERkUBlK5WL16gK8vkD8/8OuvQJkyQL9+kpC+fLm0ltmyBShYUAKu9u1lLCxM3zMnIiIyDAykcrlGjYCAAMDBQaqbT58uBTy7dAEePwby5QPGjpXTfPnzA3//DdSsKcnpRERE9HYYSBmAwoVla69+fSneWaMGEBEBuLoCzZsD48dLEDVlCtC4sfTrq1pVWs8QERFRxmmUyvktbqOiomBra4vIyEjY2Njoezo52v370ofP31+29xo3BlasSD7lFxsrNaYKFZJ6Uzt26HW6REREOY4ucQdXpAyMnR1QqpS0i/nuO+Ddd4FPP5UAasMGWaECgCJFgJ9/Bh480Ot0iYiIcjUGUgaoTRvg3j1JMK9RA3jyRCqg9+gBXL8utaYePZLaUkOGAOvXA7/9xlpTREREumIgZYBq1ZKVp8BAOc03dKgEVd27S17U558DvXvLtT/+CPTqJUnrZcvK9URERJQ+DKQMkEYjAVKDBkBwMPD998DTp7KVN2mSNECeN0/KIhQvLoHU6dMSSLVoIflVRERE9GYMpAyUpSVw8KAEUwBQpYr03DM2lmrnGg1w6JCsXAUEAB4ewN69gIsLMGuWPmdORESUe5joewKUdYyMpNJ56dJymm/QIKkrFR8vv1epIlt9BQrI9ebm0ptv0iRAKQm2iIiIKG1ckTJwLi6Apyfg5ARER8sWn5mZtJDx95ecqK5dJbjatw84dQp4+ZLVz4mIiNKDgVQeMHs2cO6c1JTauROoVAlYskQSzN3dgYoVgfLlJXdqzx5ZjXJykirpOb/KGBERkf5kKJDy8fGBi4sLLCws4O7ujmPHjr32+o0bN8LNzQ2Wlpawt7dHnz59EBERkaEJk+7q1Us+jdehgySW37kDlCwJrFolCeY2NnKSLz4eWLdOmhxPmQL4+Ohz5kRERDmbzpXNt27dih49esDHxwd16tTBihUrsGrVKgQEBMDJySnF9cePH0f9+vXxzTffoGXLlrh79y68vb3xzjvvYNeuXel6T1Y2zzw3b0oPvoMHgQkTABMTKdZpbS1bf19+KS1lADnNd/iwlFEwYTYdERHlEbrEHToHUjVr1kS1atWwbNmypLEKFSqgTZs2mJXKca958+Zh2bJluHHjRtLYkiVLMGfOHAQHB6frPRlIZY3gYFmtMjICevaUwMnFJfnxw4elkOfFi1IhnYiIKC/IshYxsbGx8Pf3h5eXl9a4l5cXTp48mepzPD09cefOHfj6+kIphfv372P79u1ontirhPTG0VFyoWrUkGbHrwZR8fHA5cvyO5sbExERpU6nQCo8PBzx8fGws7PTGrezs0NoaGiqz/H09MTGjRvRuXNnmJmZoXjx4ihQoACWLFmS5vvExMQgKipK60ZZo2FD4JdfgIcPk8d27JCSCUOHyv3mzYGmTYG7d/UzRyIiopwqQ8nmmv8UGFJKpRhLFBAQgGHDhmHy5Mnw9/fH/v37cfPmTXh7e6f5+rNmzYKtrW3SzdHRMSPTpHQYMAAwNQVatgQuXZKinB07Avnzy+OTJ0svvkuXgA8+kDwqIiIiEjrlSMXGxsLS0hLbtm1D27Ztk8aHDx+O8+fP48iRIyme06NHD7x48QLbtm1LGjt+/Djq1auHkJAQ2Nvbp3hOTEwMYmJiku5HRUXB0dGROVJZ5PRpoH17WXEyMQESEqTswZgxUjpBo5FmxxUrAgsWJK9UERERGaIsy5EyMzODu7s7/Pz8tMb9/Pzg6emZ6nOePXsGIyPttzE2NgYgK1mpMTc3h42NjdaNsk7NmnIyb/FiIC5OyiDcvg18/XVydfOyZaWw5+rV3OIjIiJKpPPW3qhRo7Bq1SqsWbMGV65cwciRIxEUFJS0VTd+/Hj07Nkz6fqWLVti586dWLZsGQIDA3HixAkMGzYMHh4eKFGiROZ9EnorZmaydQdIm5hXd1P375fVqKNHgQsXJEG9XTtpO0NERJSX6VwdqHPnzoiIiMD06dNx7949vPvuu/D19YWzszMA4N69ewh65ZhX7969ER0djW+//RafffYZChQogIYNG+Lrr7/OvE9BmaJMGaBgQeDnn4G6dWXs11+lYGfp0lImISEBsLKSOlTvvy9tZqys9DtvIiIifdG5jpQ+sI5U9hk/XvKgNm2SVaeaNYF//wUePZJtvokTJeF89Wr5+dVXyQU8iYiIDEGWFuTUBwZS2Sc2FujSBdi1S+pK3bwp4yYmwA8/yGMAcOuW9OcrVAi4d09v0yUiIsp0WZZsTobPzEzqSB0+LA2NAcDeXgKqxCAKAEqVAt57T/Kknj/Xy1SJiIj0joEUpaDRAA0aSP0oIyNJPHdw0L4mLk5O9ikFsP80ERHlVQykKE358gElSwJnz0r188RN4BcvpJZURARgbg4ULqzfeRIREemLzqf2KG+ZMgXo109O7lWuLFt6J05I8rmVlVRBz5dP37MkIiLSD65I0Wv16iXtY4yMgMhI4MYNwNkZsLQEihUDvvxS3zMkIiLSHwZS9FomJpJ8/s03EjxdvQqEhAADBwKnTgHFi2tfHxcnZRFy/llQIiKit8dAit7I1BQYNgwICABevpRyB3PmAEWLJl8TGCirV1ZWgI2NrFp99ZWUUyAiIjJUzJGit3b9uvThs7AAJk2SKuiHDgFTpwInTwI//SQrW0RERIaG/7zRWxszBrC1BU6fTj7B17Ur0L490LQpsH27dg0qIiIiQ8GtPXorERHAnj3A6NEpyyB89JH04/v+e/3MjYiIKKsxkKK38uCBNDKuVCnlYwEBQGioNDg2N5egateu7J8jERFRVmEgRW+lRAlpK/PHH9rjf/whDY9v3QLKlQPmzgWMjaUR8syZepkqERFRpmMgRW/Fxgbo3BmYP19qTAFS+qBfP6kzFRsrjw0bJv37Jk+WhPRr1/Q7byIioszAQIre2ty5ElBVriwB1MCBwOXLUhLB21sSzhONHy+5VD4+LI1ARES5HwMpemt2drKV9/nnwLFjwObNMr5qlQRMGo3cj4wEJkyQn4sWAQULAp9+KgU+iYiIciMGUpQpChWSbburVyW5HJC+fIlB1JMnQMOGwMqVMlaihFRF37QJqFFDinwSERHlNgykKNN5eMgpvkmTgKdPZczHR7b7rK2lOnrhwkDVqlLEMyRE6k4RERHlNizISZlOo5GVp8aNgXffBfr0AZYtk8bHISHSSmbdOrk2JgaoUwc4cgQ4d06CKyIiotyCK1KUJWrXBs6cAerVk2T00FDgxQugQ4fkIAqQ+lIjRsjv336rj5kSERFlHAMpyjIVKwLr1wPR0bIypRQwalTK606fli2+y5ezf45ERERvg4EUZYvu3eXnzz9rj58+DaxZA5QsKflTREREuQkDKcoWo0cDBQoAX38NNGkCTJ0KdOwI1K0LODhIMc9GjfQ9SyIiIt0wkKJsYWICbNkiieinT0s+1JkzsqWXWOV83DigVSuWQiAiotyDgRRlmyZNgH37ZAUqIgIICpLyCB98APj7SwFPf3+5Hx2t79kSERG9mUYppfQ9iTeJioqCra0tIiMjYWNjo+/p0FtSSpLPTU0BX18pzpno6lWpQbVwITBkiN6mSEREeZgucQdXpCjbBQUBAQFSsPPVIAoAypcHmjUDtm/Xz9yIiIh0wUCKsl1itfNixVI+duMG8PixBFvMlSIiopyOgRRlu9Kl5QTf7t3JY1FRcoqvbFlpfHzzJuDkBAwaJC1liIiIciIGUpTtLCyA/v2BJUskmEpIkCDq4EGphK7RSDA1a5YkoA8dqu8ZExERpY699kgvpk8HrlwBWrcGXFxkBSp/fuDkSWDtWqkvVbcuYGwMjBkj+VQlS+p71kRERNq4IkV6YW4O/PQTcOAAYGUl94cMkZpSvXolX9e3r6xY7d+vt6kSERGliYEU6Y2REeDlBXz0EVC8ODB7tuRPvSogQH5OmgTUqCHXPHyY/XMlIiJKDQMp0rt69YDbt6XS+atWrwY8PaXuVIMGkog+dSrg7i7XExER6RsDKdK7Zs2AChWAbt2Av/6SscBASUg3N5eK6Js2SXPjr76Squjvvw8cPSpBFhERkb4wkCK9MzYGfvlF+vG5u0tRzqpVJTfKzQ3YuBE4f15WpD77TEonBAUB9evLtuCTJ/r+BERElFcxkKIcwcUFuHQJ2LFDgqNixYDq1YFTp6RcQtOmkkd17ZqMAcDkyXLKb9Ag/c6diIjyLgZSlGOYmADt2gGLFklOVGSkjG/aBISFSZD1zjvAv//KeLNmstW3aRNw967epk1ERHkYAynKkT7+GLh+HdiyBTh+XE7slSoFxMVJ8PTOOzLWqRMQHw+cPq3vGRMRUV7EgpyUI73/PtC5M9CzpwRNz59LrtTSpXK6b/du4P795DYzTDonIiJ94IoU5UgaDbBhg+RBhYQAt27JKpWxMfDzz8DWrdKLz9tbru/bF5gzhwEVERFlLwZSlGOZmEghztBQ4L33gMKFgQEDgPnzJV/qgw8k4Bo8WFauPv8c+Pprfc+aiIjyEm7tUY5nYQEcOiStY3r0SB4/fhyYOFGKdBoZSVD15ZeySlWggL5mS0REeQlXpChXKFJEak117w4ULSpJ6CEh0vw4PBwYOBBYtUpqSpUoAQwbxlYyRESU9RhIUa5iYQE4O0sieoECEkTVqQNs3y5NjwHp37dhgySsP36sz9kSEZGhYyBFuYqHh7SRSey1N3u2BFOnT0ubGUByqE6elAT1BQv0NlUiIsoDGEhRrtKtmySdd+0qRTjXr5cTe6GhwJgxQMuWQJkygKurnPJbv17fMyYiIkPGQIpyFSsrYO9eaRXj7Aw8eCClEOrUkYKda9cmX1uhgtSaIiIiyioMpCjX8fAAbtwAFi4E8ueXvKldu6QHX+HCydedOCGNjomIiLIKyx9QrmRrK8nlT54AU6YABQtK3alEBw4AO3cyR4qIiLIWAynK1UaOBH79FWjYEGjRAqhSBfD3B3x9gebNgf79gX/+kWvfeUcqoxMREWUWbu1RrmZuLkHT0qWScL5qldSP+u47KYNQvrzkSlWoAJQuDfj4sI0MERFlHgZSlOuZmUk189On5STfyZPyc9gwoH59wM9PbvXrSzuZadP0PWMiIjIU3NojgxMaKq1iJkwAZs5MHm/UCChWTMasrWU7sGpV/c2TiIhyP65IkcHZuVN+fvZZ8phSshLl4wPExwOjRwPVqkn18zt39DNPIiLK/RhIkcF59EhO9RUsmDw2d640Nx4+XEokTJ0qJRNu3QIaNwZevNDTZImIKFdjIEUGp1IlaRtz4YLcf/4c+PprKZfQpQsQEQFUrgy0aSONkP/5R3r1ERER6YqBFBmcFi0AR0dg4EBZnfrjDznJ17mzjDk4yDUA8N57QO3aUi2diIhIV0w2J4NjYiIrTB99BDg5AdWry3iTJlIuYd8+4OefgSVLgHPngJgYICxMcqUcHPQ7dyIiyl0ytCLl4+MDFxcXWFhYwN3dHceOHXvt9TExMZgwYQKcnZ1hbm6OMmXKYM2aNRmaMFF6eHgAly4Bo0YBT58CRkbJY7t2AR07AhqNlEiIi5OTftWrSw8/IiKi9NI5kNq6dStGjBiBCRMm4Ny5c6hXrx6aNm2KoKCgNJ/TqVMn/Pbbb1i9ejWuXr2KzZs3w9XV9a0mTvQmJUrISb0zZ4BBg6QX38qVki81d64U7fTzAwoVAs6flwT1QYP0PWsiIspNNErpVue5Zs2aqFatGpYtW5Y0VqFCBbRp0wazZs1Kcf3+/fvRpUsXBAYGolChQhmaZFRUFGxtbREZGQkbG5sMvQblbTExwMcfy5afkRFQrpwkmdvbA3v2AO7uwIYNQI8eQGAg4OKi7xkTEZG+6BJ36LQiFRsbC39/f3h5eWmNe3l54eTJk6k+Z/fu3ahevTrmzJmDkiVLoly5chg9ejSeP3+uy1sTvRVzc2DbNqBWLem516QJ8MMPEjS5u8s1NWrIz9csrhIREWnRKdk8PDwc8fHxsLOz0xq3s7NDaGhoqs8JDAzE8ePHYWFhgV27diE8PByDBg3Cw4cP08yTiomJQUxMTNL9qKgoXaZJlCZXV2kh8803kiOV6M4dYMwY+f3776WEQpEi+pkjERHlHhlKNte8+i8QAKVUirFECQkJ0Gg02LhxIzw8PNCsWTMsWLAA69atS3NVatasWbC1tU26OTo6ZmSaRCn06SMJ5atXJ499/rmc7tuzR+6vXSutZMaN088ciYgo99ApkCpSpAiMjY1TrD6FhYWlWKVKZG9vj5IlS8LW1jZprEKFClBK4U4avTnGjx+PyMjIpFtwcLAu0yRKU716wKefyq19ewms5syRxywsgP37pcWMnZ0kpfv4aD//3j1gzRrgxx+Bly+zf/5ERJSz6BRImZmZwd3dHX5+flrjfn5+8PT0TPU5derUQUhICJ48eZI0du3aNRgZGcEhjaI95ubmsLGx0boRZQaNBli+HFixArh6FVi3TsbbtpWTe02ayO+3bklgNXWqPB4VJeURSpQA+vaV4p6WloC3t34+BxER5Qw6b+2NGjUKq1atwpo1a3DlyhWMHDkSQUFB8P7/vyjjx49Hz549k67v1q0bChcujD59+iAgIABHjx7FmDFj8MknnyBfvnyZ90mI0snICOjfX8oiAJKAvmMHUL588jXm5oCXF/DggdxcXQF/f6BOHWDTJmDBAlm1WrEC6NVLP5+DiIj0T+fK5p07d0ZERASmT5+Oe/fu4d1334Wvry+cnZ0BAPfu3dOqKWVlZQU/Pz8MHToU1atXR+HChdGpUyfMnDkz8z4FUQYYG8vPtOJ5U1P5uWKFbOkNHw4sXJj8+IgRcgLwhx+kSjoXTomI8h6d60jpA+tIUVaxt5d+fNHRyYETINXQixWT38uUAQICgBcvpP3Mq376SbYCZ8wAJk7MtmkTEVEWyrI6UkSGZtIkKdZZoYLkSCklW37VqwPPnklS+rNnsmr13yAKANzc5GdERLZOm4iIcgg2LaY8bdAgCaBWrgSqVtV+rGFDYN484OZN4MYNWZWqWFH7mgUL5Od/atQSEVEewa09IgCXL8vq1M2bQPHiwNixQIMGcsrv338lF6pYMeDcOTm5BwB79wJt2kiPPq5IEREZDl3iDq5IEUEqme/cmfpjZcsCM2dKDlTJkhJIPX8uuVWmpsCBA9k7VyIiyjmYI0WUDhMmAKdOSfmDZ8/kxF/37kBwsORTERFR3sQVKaJ0qlULOH5cfr95EwgJkUR1IiLKu7giRaSDy5eBDz4ASpcG6tYFnJ0l0fz6dX3PjIiI9IGBFFE6/fuv9Op78ECqmwcEAOvXA7dvS1DFlpBERHkPt/aI0umrr4D8+WV7r0ABGatQAfjoI0lWnzsXWLxYr1MkIqJsxhUponRQCvjxR2lYnBhEJSpaVJodr1sHfP+9rFgREVHewECKKB2UkrYxiTWkEt29K9t6GzZIm5nevQEHB+CLL4CEBL1MlYiIshEDKaJ0MDICKlcG9u9PHouJARo3BoKCpFVMrVpAeDgwfjwwe7bUniIiIsPGQIoonYYMAXbtAlatkhWqHTuAK1eAbt2ACxeAYcOAwoWBqVOBUaOA+fNlFYuIiAwXW8QQpVNCAuDtLX35XF2lMOf9+7IyNWKE9N3TaOTaf/6RRPQDB9iHj4got9El7uCKFFE6GRkBK1YAhw4BNWoAL15I4vmxY8A33yQHUQBgbi4/4+P1MlUiIsomLH9ApAONRgpyfvABsGyZbPc5OiY/fuUKsGUL4OcHmJgAFSvqb65ERJT1uCJFlEEffwzY2QFt2wJ//y3bfhUrSm7UH38AcXFA1arA4cP6nikREWUVBlJEGWRtLaf4wsPl1N6KFYCVlSSYd+gAXL0KuLsDrVqx6jkRkaFiIEX0FipXlv571tZAlSrAyJHAX39J8c5y5YCdO5Nzq4iIyPAwR4roLQUGSjHOb78F6tTRfszaGmjWDDhyRD9zIyKirMUVKaK3ZPL//zvy/HnKx549A65fB0JCpNFxatcQEVHuxUCK6C25ugIuLlKo81XbtklLGX9/4N49oHt3oGRJKepJRESGgYEU0VsyNgYmTQK2bpVyCMHBwNGjQJcuUsTTzk568v37r5RN6NRJTvUREVHux8rmRJlk0SIJqKKjk8fc3CTAKl9e7sfFyVj58pKITkREOQ8rmxPpwfDhsvK0ebPkTQ0ZApw7lxxEPX8OfP215Evt2gUUKwaMHg1EROh33kRElHEMpIgykbU10LmzVEAvXTq5bUxMjJzemzEDKFsWMDOTgp6rVslJv/Bw/c6biIgyhoEUUSbTaICGDYGNGyVHCgC++0568h04ALx8CTRpIk2Oz54FHjwApk3T75yJiChjGEgRZYHPP5fCnH37yom9tWsleFq1Crh4ERgzRq4rW1aSz1etAubNk8CKiIhyDyabE2WR9euBgQNlWy/xb5mlJbB8uZRCePEC6NdPVq4AIF8+yaNq0EAS1IsV09vUiYjyNCabE+UAPXtKYrmPj5RAqFxZktG7d5fHBw4EduwAvLyAggWBx4+Bn38GrlwBWrZM3hYkIqKci4EUURaytQX69wcmTwb+/hs4c0bGg4JkxWrUKKkp1aePJKC3aiUV0M+cAQ4d0u/ciYjozdhrjygb9O0L7N4NNG0KtG8vjYwTEoCFCyVPauLE5Gs/+ABwcgL27wcaNdLblImIKB24IkWUDUxNgZ9+AubPBy5fli09ABg5UqqgFyyofb2xcXJeFRER5VwMpIiyiZkZMGyYnNq7ckXKJDg7y/bfq06dAm7elBIKRESUs3Frj0gPSpeWsgejRgFWVkDr1pJo/v33Um/KyUlO7xERUc7GQIpIT1atkhN83bol50wBUiIhKAh4913g4EHgnXf0O08iIkobt/aI9MTKSvKmKlUCbGyAAQOA334DnjyRrT8LCznFFx+v75kSEVFauCJFpEcnT0ry+f79Uvk8kasrsG4dUKuWtJVp1kxvUyQiotfgihSRHp0+DeTPDzRunPIxDw/A3l7qTBERUc7EQIpIjywsgNhY4OnTlI+9fCnjFhbZPy8iIkofBlJEetSiheRArVyZ8rENG4CoKKBNm2yfFhERpRNzpIj0yMkJ8PYGxo6VoKlPHynGuWEDMHWqnOirWBEIDJTHS5eWxHQiIsoZGEgR6dmiRVLyYM4cYNo0GTMzA/r1k+bFNWoAZ8/KuKUl0KuXXGtlpb85ExGR4NYekZ6ZmABz5wJ370pRzp9+Au7ckZ58LVsC5ubSUub0aWDcOFmtatpUcqiIiEi/NErl/I5eUVFRsLW1RWRkJGy4r0F5gFKAu7usOv32m/TqS3T8OFCvHrB5M9Cli/7mSERkqHSJO7giRZQDXb8OnDsHjB6tHUQBQN26ctu8WT9zIyKiZAykiHKgyEj56eSU+uNOTsDjx9k2HSIiSgMDKaIcqGxZyY3y80v52MuXwKFD0ouPiIj0i4EUUQ5UsCDQtSswaxbg7588HhcHfPYZEBoKlCsHfP+9nOjL+ZmORESGieUPiHKob74BLl0CqlcHPvwQcHAAfv1VTvdZWgIjRiRf6+EBbNwoK1lERJR9uCJFlEMVKAAcOwasXSslEq5dA8qXl8e6dJH7L14Ae/dKvlTDhsCjR/qcMRFR3sPyB0S5REIC4OoKVKoE7NwJaDTJjwUHA2XKyFbgZ5/pb45ERIaA5Q+IDND163IbMEA7iAIAR0egeXNgzx79zI2IKK9iIEWUS8TGys+0WsNYWSVfQ0RE2YOBFFEuUa4cULQosG1byseePgV++UUKdRIRUfZhIEWUS5ibA0OGAEuXAitXSikEALh3T5LPX7wAOnSQhsaffAKMGQOcP6/XKRMRGTwmmxPlIvHxQP/+wJo1gJ0dUKIEcPEikC+fBFkLFkj+lJsbcPu21JsaMADw8QGM+H+biIjSRZe4g3WkiHIRY2Ng9Wpg2DBgyxYpe9C3L1C1KlC/PtCpE7BkCVCokFRAX7UKGDwYeOcdnuYjIsoKXJEiMgD9+wO+vsDNmymbHPfrBxw4ANy6JYEYERG9XpaXP/Dx8YGLiwssLCzg7u6OY8eOpet5J06cgImJCapUqZKRtyWiNJw8CbRunTKIAoD27YE7d+RGRESZS+dAauvWrRgxYgQmTJiAc+fOoV69emjatCmCgoJe+7zIyEj07NkTH374YYYnS0SpMzcHoqLk98ePgcmTgVKlJHeqf38ZZ44UEVHm0/k/rQsWLEDfvn3Rr18/VKhQAQsXLoSjoyOWLVv22ucNGDAA3bp1Q+3atTM8WSJKXatWUu38yhUpgbBgAdC0KTB7NhATI9cMHCh5U0RElHl0CqRiY2Ph7+8PLy8vrXEvLy+cPHkyzeetXbsWN27cwJQpUzI2SyJ6rYEDAVtboE4dyYU6ckRO6x07BoSHAzNmSA7V99/re6ZERIZFp1N74eHhiI+Ph52dnda4nZ0dQkNDU33O9evXMW7cOBw7dgwmJul7u5iYGMQk/t9oSNIXEaWtWDHAz0/KHsTHA9Wry7i9PbB5M9C5M3D6tJz469dPv3MlIjIkGcqa0Pyn0ZdSKsUYAMTHx6Nbt26YNm0aypUrl+7XnzVrFmxtbZNujo6OGZkmUZ5SvLgEUXPnAps2yUm927eBkiWBrl2BP/4A/P2BefOAyEh9z5aIyDDoFEgVKVIExsbGKVafwsLCUqxSAUB0dDTOnj2LIUOGwMTEBCYmJpg+fTouXLgAExMTHDp0KNX3GT9+PCIjI5NuwcHBukyTKE+ysZF+e1FREjh5eUlNqXr1pMJ54uMTJgA1a0qxTiIiejs6BVJmZmZwd3eHn5+f1rifnx88PT1TXG9jY4OLFy/i/PnzSTdvb2+UL18e58+fR82aNVN9H3Nzc9jY2GjdiOj1TE2BHj2kinlgIHDhghTh/PxzYNkyqTHVvDkwahQQFgYMGqTvGRMR5X46VzYfNWoUevTogerVq6N27dr47rvvEBQUBG9vbwCymnT37l2sX78eRkZGePfdd7WeX6xYMVhYWKQYJ6K3N3Uq8OuvQLVqUv6gQAEgJARo1Ehax2zeDFhaAtHRwK5dklfVuLGeJ01ElIvpnCPVuXNnLFy4ENOnT0eVKlVw9OhR+Pr6wtnZGQBw7969N9aUIqKsUayYFOfs1w8ICJCaUvv2Se7U8OHS4DgqStrLAEDHjtziIyJ6G2wRQ2SgunQBrl2TYKpWLUlABwClgJkzpWinsTHw/vvAhg3SAJmIiLKhRQwR5XwffwycOye5Ub17y1hMDNCypQRR5uZAkSJSc6p0aWDHDr1Ol4goV2IgRWSgmjUDGjSQ35cvB/bvl358vr6SmH7woOROubsDbdvKSb9r1/Q6ZSKiXIeBFJGBMjICfvkFsLaWPKmmTaW2lLOzVDx3cwN275Zk87VrpTzCGzo9ERHRfzCQIjJglpaSD/XihZRGACTR3NZW+vNpNEDFisDYsUChQrJa9UpTASIiegOdyx8QUe4ydKic1pszR+63aCH994oVkxIJH38sOVJhYcCTJ0C5crKCVbGiXqdNRJQrcEWKyMBpNMCsWZJ0bmcnq1GbNkl18+BgyZXauxd49gyYMkUeb9qUK1NEROnBQIooj3BykqTzGzeAdeuAPXuASZOkYGfjxrISNXo0sHUrEBQEbN+u7xkTEeV8DKSI8pA2bSRH6uxZuT9qlJRGcHMDDh2SXnwVKgDvvgucOKHPmRIR5Q4MpIjymM6dpZkxAHz/vaxQ/fIL8OAB0KcP4OAAXLkC/P478Pffep0qEVGOx0CKKA9q0kQKcgYGSqK5ry/g4SHBk6entJR5+BCoUUMeIyKi1PHUHlEeVLiw9N6bMQOIjZXcqTp1JDE9MTfq5UvA0RHo3l3yqPLl0++ciYhyIgZSRHnUV19J4DRvngRNhw7JeLlyUlcqIAD47jspibBxozRCJiIibQykiPIoY2Ng9mypgD5/vvzcs0faxiTq0wd47z0pl8BAiogoJeZIEeVxpUvL9l737tpBFCBtYwDgzBng11+BhITsnx8RUU7GQIooj2vfXn5euwYolTy+axfg6iq/P32aXGvq5MnsnyMRUU7FQIoojytYUJLPjx0DPvgAWL0a+PxzoF074PlzqSnl6ioBlL29nPi7dk3fsyYiyhkYSBERRo4ETE2BiAjJhZozB8ifX071Xb0KfPopULu29OCztga++UbfMyYiyhkYSBERRo2SQOmff6T6OSDbeFOnAvXrA4MHy5iVleRS7dmjr5kSEeUsDKSICPnyAQcOSCmEf/+VsYgIYNEiaWhsbp58raUlEBenn3kSEeU0GqVeTS/NmaKiomBra4vIyEjYJB4jIqIs4+4O2NmlrGqekABUqgS88w6wfj1QoIBepkdElKV0iTu4IkVEKYwZI/lQEydKQU5AVqgaNJDtvz17JEnd3V369BER5VUMpIgohS5dgJkzgVmzgBIlgMqVgeLF5WRf/vzJ1/31F9CihRT0JCLKixhIEVGqJkyQpsaffw5UrSqNjM3MZFvvxx+BS5eAlSslAX3MGODWLX3PmIgo+zGQIqI0OTtLQFWpkrSQcXCQVamOHWWsXz/g4EEp5DlqlL5nS0SU/RhIEdEb3bsnK1KDBskK1Ktq15Yg6/hx/cyNiEifGEgR0Rs5OcnPfPlSPvbnn3Ka7+XL7J0TEVFOwECKiN7ok08AjQb4+mtpcJwoOlqqoifmTt29q785EhHpAwMpInojW1ugVy8gKEhO8Y0aBQwZAjg6Sg++2FhZmXJ0lFN8TDwnoryCBTmJKF3i44GWLaW+lJkZYGICPHsmj330kWz/nTwpJ/3y5QPOnZPAiogot2FBTiLKdMbGUnxz/36gfXupJ2VtLY2Nf/8d2LIFKFMGqFBBind6eAAPH+p71kREWYuBFBGlm0YDNGkCrFsHPHoEDB8OfPkl0KyZ5Ef99BNw9izQti0QFgYMHKjvGRMRZS0GUkSks5gYaVz8zz+yUrVmjXZZhKpVZcVqxw4gJER/8yQiymoMpIhIZ1ZWQOnSwOnTQN26koz+Kl9foEoVyau6eFEvUyQiyhYMpIhIZxqNnNq7cwe4ckUqmwMSOH39NfDHH5KYDkgeFRGRoTLR9wSIKHcaNkxyoo4eldWpmjVlherWLeCLL5LLIdSsqe+ZEhFlHQZSRJQhxsbAb78B7u5AQIDcr14dGDdO+u/t3Als2CDjRESGioEUEWWYiQlw4oRUN//hB+DGDWD7dsDFBdi0CejaVd8zJCLKWizISUSZ4uFD4NIlOa1Xtao0MgakD9+hQ4Cfn9xv1Aj48MPkx4mIchpd4g6uSBFRpihUCHj/fe2xsDBJOj9zBnBwkLE5c2QLcM8eoHjx7J8nEVFm4v8nJKIsoZRUQA8KklyqoCC5HT4sxTvbt08+7UdElFsxkCKiLHH6NHD8OLBqFdCwoZRM0GiABg2A1aulL9/Jk/qeJRHR22EgRURZ4sgRwMYGaNo05WNNmgAFCsg1RES5GQMpIsoSJibSRiYuLuVjZ88Cz59Li5nnz7N/bkREmYWBFBFliaZNgWfPgC1bksdu3ABq1ZIinTExUjKhZEngu+/0N08iorfBQIqIskTFipJQPmiQBEohIZIfdfMmYGEhp/muXgXatgUGDJC6U0REuQ3rSBFRlnn2DOjXT1alXv0vTefOknCeP7+Mt2sHXL4sW32sL0VE+qZL3MH/ZBFRlrG0lJWmf/8FypUD3Nzk9y1bJIgC5CSftzdw/Tpw7Zp+50tEpCsW5CSiLFe6NFCkiLSOKVMm5eNWVvIzNjZ750VE9La4IkVE2aJOHeCXX4CnT1M+tm2bBFrly2f/vIiI3gYDKSLKFgMHykm9Ll2Ae/dkLC5OCnZ++y0wZAhgbq7fORIR6Ypbe0SULVxcgF27gI4dAScn4L335CTf/ftAixZAdLQEW1WqAN26AdbW+p4xEdGb8dQeEWWrx4+BDRuAS5ckWLp4EThwQBoY29nJfVtbCbrq19f3bIkoL+KpPSLKsQoUkG285cul1MGhQ8D33wN37gDnzwO3bgHVqkmdqcQtQCKinIqBFBHpxZMnwLJlwJgxQM+egLGxjDs6Atu3A/HxwMqV+p0jEdGbMJAiIr24dEnyojp2TPlYgQKAlxdw/Hi2T4uISCdMNicivTA1lZ//LYdw8yawcSPg7y85VBERQOHC2T8/IqL04IoUEemFmxvg4ACsWCH3lQKmTpWCnbNnA8HBUunc0RHYulWvUyUiShNXpIhIL0xMgMmTgf79ZeXJxQWYNk3qTP3+uySiFykCPHwIdO0q231Nmuh71kRE2hhIEZHefPqpbO1Nniz5UoD04QOAkiWB1q2lXML33wNt2gBnzwKVKulrtkREKWVoa8/HxwcuLi6wsLCAu7s7jh07lua1O3fuROPGjVG0aFHY2Nigdu3aOHDgQIYnTESGZcQISTwH5PSemRnQo4eUQfjmG2DtWmDwYDnF16OHbAESEeUUOgdSW7duxYgRIzBhwgScO3cO9erVQ9OmTREUFJTq9UePHkXjxo3h6+sLf39/fPDBB2jZsiXOnTv31pMnIsNQoID8fPZMyiAsWiRbf68qUgQ4dw74889snx4RUZp0rmxes2ZNVKtWDcuWLUsaq1ChAtq0aYNZs2al6zUqVaqEzp07Y/Lkyem6npXNiQzf++8DV68CpUoBp08nj0dFAc7OsqV34gSwYAEwcqTepklEeUCWVTaPjY2Fv78/vLy8tMa9vLxw8uTJdL1GQkICoqOjUahQIV3emogM3MSJQFgYcOEC8PffsoW3d6+c2nv8ODm4GjUK6NNHGiATEembToFUeHg44uPjYWdnpzVuZ2eH0NDQdL3G/Pnz8fTpU3Tq1CnNa2JiYhAVFaV1IyLD5uUFzJ0rAZKbm5zaa9lSktFnzZLf7e2BxYuBzZuBoUP1PWMiogwmm2s0Gq37SqkUY6nZvHkzpk6diq1bt6JYsWJpXjdr1izY2tom3RwdHTMyTSLKZUaPBgYNkt9dXeXnmDHAL78AP/8sQdTQoRJYrVkD3L2rv7kSEQE6BlJFihSBsbFxitWnsLCwFKtU/7V161b07dsXP/74Ixo1avTaa8ePH4/IyMikW3BwsC7TJKJc7NtvJWAKCZH7s2cDCQnAvn1Ahw7Ao0ey3RcfL1t/RET6pFMgZWZmBnd3d/j5+WmN+/n5wdPTM83nbd68Gb1798amTZvQvHnzN76Pubk5bGxstG5ElDdoNLLq1Lu3FOl88ECSzBs0kFIJJUsm9+cbMQKYNEmCKiIifdB5a2/UqFFYtWoV1qxZgytXrmDkyJEICgqCt7c3AFlN6tmzZ9L1mzdvRs+ePTF//nzUqlULoaGhCA0NRWRkZOZ9CiIyOA0bSt+9wEC5368fsGwZMH48MGOGBFy9egFffSXbf0RE+qBzZfPOnTsjIiIC06dPx7179/Duu+/C19cXzs7OAIB79+5p1ZRasWIF4uLiMHjwYAwePDhpvFevXli3bt3bfwIiMkjNm0vJg86dpXXMDz8Ay5dLzal+/WR8+XIpjTB5suRXlSih71kTUV6jcx0pfWAdKaK8KSgIaNVKSiJoNBJEPXokJ/g2bQKsrIDISKBwYcDHR/r2ERG9rSyrI0VElJ2cnIC//pKmxVZWkhPl7w/s3i33AWl4bGYmVdGJiLIbAykiytGMjGQbLzoaaNECqFZN+3E/P+D5c6BGDf3Mj4jyNgZSRJTjNW8OlCkjJ/kSk88B4PJlYOBAoHp14DUHh4mIsozOyeZERNnNxES285o0Ad55B6hdG4iLk7Yx77wDbN8ubWTWrwfOngXy55eaUx9+KLlVRERZhStSRJQrVKwI/POPlEBwcABKl5bA6e+/pUxCqVJSBiEwEDh0CGjcWAKvp0/1PXMiMmQ8tUdEuVpYGFC2LFCzppRIKF5cGh77+kpuVdeuwMqV+p4lEeUmusQd3NojolxtzRrg5UtgyxYpgwDIdl7z5lJfauJEoE4dWbkyNZWE9bp1ueVHRJmDW3tElKv98QdQv35yEPUqd3cJsvr0AfbsATZuBN5/X7b92FyBiDIDAykiytUsLCTR/L8SAygAWL0auH4dCA6WRsdnzwKffJKt0yQiA8VAiohytTZt5PTe2bPa4z//LIFT4cJAjx4ylrjlt2ABsHMncONGtk+XiAwMAykiytXatQOqVpUAae1aIDwcCAgApk6Vx2fOlNyoV3XuLD+PHUv5ehcvAlu3AgcPyqoWEdHrMNmciHI1MzPgwAGgb1/t7ToLC6BQIWDAgJTPef5cfr4aYAUGAr16AcePJ4/Z2kqhz5o1Jfhydc2az0BEuRdXpIgo1ytaVAp23rghxTn37ZOtu4cPgV9/TXn9ypUSRDVuLPcfPQI++AAIDZXn7d0rQVRkpLzWnDlAhQpSRT0+Pns/GxHlbFyRIiKDUbq03ACpJVW3LtClC7BoEdCxozQ2/u47KYswaBBQrJhcu2qVBFHXr0tvvwoVAA8PCbgGDQJCQoBPP5WmyQ4OwIQJevuIRJTDcEWKiAySRiOrVLVrS7J54lbfxImysjR/fvK1P/0EtGwJODkBy5fLc3ftkqBs4EDJm2rRQoKqRYuAmBi9fSwiymG4IkVEBqtgQdmmu3IFOHFCtvOaNJHq56+KiZGtPAA4ehRo1gxILGacOP7ihaxuffuttKpxc8u+z0FEORcDKSIyeBUqyC0ttWsDP/4oAZWxsfaK044dkoNVpoxs8QHSRPm/goOBpUuB/fslj6pBA2DoUKBcuUz9KESUw3Brj4jyvMGDJeG8Z08JgHx9gaAgYN06aZI8dKicDly1CnBxSXl67+xZWaFavlyqqdepI4GZm5ucKASA+/eBadOA6tVlfPBgWdkiotyNTYuJiCCn9bp3l9/j4yVZPS5O8qtmzJCcqiVLJJjq2zf5efHxQPnyUvjzwAGgQAEZf/5cEtxPnJCaVC1bAk+eAG3bApaWUjD00SNg2zagVats/7hE9Bq6xB0MpIiI/i8sTFahTp2SelLh4bLVFx8PWFkB06cDI0dqP+fgQcm7+uMPqTf1qtu3ZQWrZEnJ1/r1V0l6/+476ft37ZpsI27eLEEXEeUMusQdzJEiIvq/YsWAsWPld6VkNeniRUk4b9EiOQH9Vf/8A5ibS7mE/3J2BkqUAO7cAdaskdOAnp5SZqFtW/l92TKgUyfgiy+AL7/M2s9HRJmPgRQRUSo0GqlDVbfu668rXFhWle7cARwdtR978gR48EB+/+AD2RIMCwMuXEjOszp5EsiXD/jqK1nZev/9zP8sRJR1mGxORPQWWrWSbb+ZM2UV61XffJPcr+/8eWDLFlnxSgyiYmLktF/DhpJntWJFtk6diDIBV6SIiN6CtTUwd64U7rxzR/r9mZkBmzZJ4PT551IhfepUIDZWe4Vr+XIgIgL4+GM51Xf+fNrvEx8v9bDi4yUQMzfP6k9GROnBQIqI6C15e8sW38yZQIcOMla2rARK/ftLDavevWV840bg8WM5rbdmjZRWcHWVxPOiRVN//VWr5LVv35b7RYtKu5px46SlDRHpD0/tERFlEqWAe/dk1ahkSe0gZ9cuqVP15Incd3SUYGjECODwYaBRIzm916WL9mvOnw+MHg107Qr06ycrUVu2SPHPgQPlJxFlLpY/ICLKgc6dA+rVk9OBI0ZIL79ff5XcqHr1pBDoq1XTIyMlIOvXD1i4UPu1Fi8Ghg8Hrl5l9XSizKZL3MFFYSKibFK1qtSoqlxZ6lG1bCm5VJ99Jg2W/9t6Zu9e4OnT5JIMr+rfX4p/btmiPf7rr9Ir0NYWKFIE6NMHCAjIso9ElOcxR4qIKBu99x7w009AdLRs8xUpIs2UUxMZKcGVvX3KxywsZGUrMjJ5bOlSYMgQaVMzfry8/g8/SD7Wzz/L6tWGDVJotHx5ye1q1kxKPRBRxnBFiohID6ytJUBKK4gCJOiKiwN+/z3lY4GBUtjzvffk/p07stU3dCjw55+SiD5zppz0q1wZaN4cGDZMgq9WrSRxvUULoFYtSYB/8SJLPiaRwWMgRUSUQ9WtK4HS0KHA3bvJ45GRwKefyknBTp1kbP16WaWaOVN7hcnSUvKsYmJkxWrXLgneLl+Wn2fOSPkFZ2fg2DHt9//nHyntMHMmcOhQyjpZRMStPSKiHEujAX78EfjwQ0lMb9pUgqVffpHH9u6VQAmQFaby5VO2sXnxQpopA/LcxYuB2bOlHc3QoUCDBtIHMD5eVq0uXQLs7KQK+8aNQP788rxJk4AqVWRb0tk5G/8QiHI4rkgREeVgrq7S7+/LL2UlKiRETvxduaLdTqZECeDffyU5/VWhoZKPBQDFiwPz5kkC+hdfyPZigway2vXzz1KuYdky2QLcvl0KiUZESJubw4fl/T/6KLlaOxGx/AERkUG4eRMoU0aSzF9tfhwWJitMBQsCx48DlSrJyb4PP5THW7UCHj6Ux3r0kC2/ixeBWbOkftWrzp+Xk4c//gh07JhtH40o2+kSd3Brj4jIALi4SOPj8eOBP/6QQOfJE6mertFIY+TEhPK4OPn555+yTejjkzz+5In87NEj+bWvXZP8qhMnZCtx7lxpwlykSPZ+RqKciFt7REQGYtw4YMcOCZgGDpTtO1dXqTX1/DnQubMEP4kB14cfAh4eQK9eUhJh925ZcQKSE8v37pVTf5s3A25ukqD+11/y+9Wrqc/j6VN5vYSE7PncRPrEQIqIyIC0aycrR3FxclJv50452XfihAREDx8CR48C33wjbWcOHpQtu48+ktWmSZMkWPr+e+DRI7mmaVMgKAgYPFjypJYvl4Kf3btrn+Q7fx5o3VoS3osWlaT02bOTV8CIDBFzpIiI8pCoKODrr6WH38uXsuX39KnkV23bJitSgwYBq1dLULRrl5wIvHxZWtVYWUnAlFhB/fRpWdU6c0a2+5yd5fklSgD79wNr1wJt2gBbt7LBMuUe7LVHRESv9fChnNR79AioWBFo3BgwNpbHYmOBAQOAdeskv8raWgIwd3cJrBwd5RpzcwmUevcGateWlaeDB6Wm1erVwK1b8tyQEFkZa9tWjx+YSAdMNiciotcqVEjKIKTGzEwCJHNzaSnz+edSHLReveRin7duyc+CBaXC+h9/yKpTx47AkSNA+/ZAz57AhQtSj+rTTyVYs7LSfq+nTyU3KywMKFsWaNIkZc9BopyM/3MlIqJUDR4MrFghzZFfrVmllJRYKFRIAh9/fxn/6y8Jovz8pD5VotBQqYw+dy4wbVry+Nq1UhMrKkq2GJ8/B5ycJPCqWzcbPiBRJuCONRERpeq992SLb8gQaXB86JCsHrVoIdt3c+dK1XMXF8l/Wr8e6NBBO4iKj5fTfa6uwKpVyeN79wKffCLJ8bduAc+eSUBWqpQkt//7bzZ/WKIMYiBFRERp8vGR4py7d0u5hNat5QTftm0SCAGSWN6ihaw8lS2b/NzElavgYAmwQkKST/B9+aUkp69Zk9xyplo1qWtlaiqnCMuXl0T2+fNl1UoXL19KgnxAgARzRFmFyeZERPRGL19K9XQzMwl8Xm2MDAB37sjKFCBNkEuUAPbtA86dA2bMkOT2H36QdjOPH0tu1fr12oU/AQmwJk6U9xkyRF73p5/kVOHvvwPFir1+nkoBCxdKK5yQEBlzcpK6WQMGpJw3UWp0iTu4IkVERG9kagqUKydbb6kFIw4OUhAUAI4dk6DJwUFO8XXsKKf4EpPbEwt1mppqv8aZMxJE1aoFlCwpK1FbtwJ//y2B2MiRb57n+PHAqFGyPXj4MPDbb5LfNXCgFCIlymwMpIiIKFN8/rnUoQoNlR5+7dtLLamaNbUDrYIFJf9q0ybt569YIYHa3buy7ZeofHl57rZtUjE9LUFBkrf15ZdSNDQmRmpg9ekDjB0rK2Ovez5RRvDUHhERZQorK1kB+vprSSxfuhQoXFhKH4wfL6f8AFnR+vxz2QIcP16CJFtbWXmKjwfu3weGD9d+7fr1ZXvx1q20e/xt2yYlGypWBEqXltysRKVKyfN37ZL5KCXFRPftk/esX19ywFg0lHTFQIqIiDKNtTUwc6as/sTGSq5TaluB3bvLCtLkycCiRYC9PRAYKEVBd+6Udjavun5dfr6uUXJkpARznTvLitauXdIT8M8/JVi7dUsaMEdGynajn5+0sjExkVWsatUkqb5kSXm9q1eljtb9+5Kj1asXULx4pvwxkQFh7E1ERJlOo5HVodcld48fL1tvM2dKYOPtLatDFhba1z1/DsyZI7WlSpVK+/UqVZJkdkdHCYjc3SVIql1bAjtACoT27CnB1a5dsg15964ksj94ALRsKXMYN05KNixbJgnz06ZJkv3337/tnwwZGp7aIyKiHCE+HmjeXIp6entLsc/gYGDxYuDGDUker1kz7ee/eCGFPUuVkuCnQAEZf/BAks8DA2VL7/FjSYb/+GPt5x89Klt8I0dKU+fZs6VgqLm5POezz6RtzsmTyfN49Ejqa8XGSsCWVqCXkCArXPHxkrRvZvYWf1CU5dhrj4iIcqUXL2T1aMUKICJCxj76SFat3N1f/9z4eFmBsrCQny1ayNjevUD+/EDXrsDKlZIr9fSpBEivUkpKJTx7JluD27enfP2KFWULcONGYNIkCbieP5fHNRqpl7VypeR8JVq3Tj5TYKDcL1ZMArTPP2dOVk7F8gdERJQrWVhIvlJIiGz7PXwoCeFvCqIAya/y9JRAZ8QIWc26dw/44gvg0iXgxAnJdVIquTDoq5SSIOvhQwmIUnv9du3kdSZMkEKln30m7/PokQR/Bw8CbdrIawGymtanj8z/wIHkPoQTJgDDhr3NnxTlFEw2JyKiHMfMTFaHdDV6tAQ79epJ6QUrK0kunzBBegGuXy9J4+vXS22pV+3fL4nlAPDkSeqv/+SJrHYtXCgrUq/2Dvz0Uynz0KyZBEzVqsn7Dh4MfPtt8nXvvy/5V8OHy2O3bwOnTskKWevWkutFuQe39oiIyKDMmSOJ7PnzS8uaq1clh2nxYgmeevaUbbtvvpHK6qamclJw0CCpb6XRyPbeyZOyCpXo8WN5vZo1AV9fWTWzt9d+b6WkwnvbttLepls3WbFycNC+7sULwM5OgqcHD+T358+lFU6XLtLQ+b9J95R9uLVHRER51tixko80dqwEPZMmyapP4grUd9/J9trAgZLLZGUlwYuHhwRUU6ZIA+V27SRp/cULqY/VqJEkjTdqJK+T2r+vGo2UgIiJkZUwY+PkcgqvMjKSwCk2Fjh+XLYgHzyQAOqnn1LW0aKciytSRESUJwUGSt5SXBzQoIGsRiX6+WdZoUrs1wfIltsPP0jgVa6cJJH36qX9mv/8A1SoIPWnnJxkG++334CGDbWvW7xYgqXp0yXQe9X8+bKiFhT05rpVf/4pdbhOnZLt0FatgKFDU66AkW54ao+IiOgtvXwppQ3CwiRJvXbt5LpYbdpIT8Ft2+SEn0YjxT47dpTE8+vXJbBxc5NVrIMHpZEzAERHS7AVGiqrVvnza7/v/fsSQG3blnrSe6IffgB6907eSoyOlt6EJiYSvP23qOmbBARIcHj3rgSBffpIwJia8HCpDG9iAtSpI8FlRsTHy3amtbW8Vk6hU9yhcoHIyEgFQEVGRup7KkREROrhQ6Xq1FEKUKpsWaWqVJHfHRyUungx+bqAAKXs7ZUyN1eqXTulunVTysZGKRMTpVxcUn/tu3fltbZvT/v9791TysxMqT59lIqLSx6PiFDKzU1uCQnp+ywJCUpNnCjvWayYUg0aKFW4sNyfPVv72ufPlfL2lveWjDD5PNOnKxUfn773U0qpR4+UGjlSqQIF5DWsrJQaOFCp+/fT/xpZSZe4gzlSREREOipYUAp47t8vhUNr1JCq59evA+++m3xdhQrAxYuyhRceLm1qBg2Srb2bNyUX67/WrZMk9Pr1037/desk/2rBAu2E+EKFpNfhhQvAmTPp+yxbt0qdri+/lMT4w4eBO3ekbMS4cVKHK1H37vLe06fL/K9ckdOKU6ZIu5/0iIqSz7ZmDdC/v6y8jRolPz09ZQUwV8lIpLZ06VJVqlQpZW5urqpVq6aOHj362ut///13Va1aNWVubq5cXFzUsmXLdHo/rkgREZEhiY1VqlIlpRwdldq3T1ZznjxRatEipUxNlRo27PXP79tXKQ+P1B97+lRWeX74IX1z8fBQqkmTlOMJCUp5eirVsKHc//NPed2NG1NeO2mSrLqFh7/5/aZPVypfPqUuXdIe37tXVrosLJSytVWqTRuljh3Tvub6daXGjFGqeXOluneX5+iyEpZeWboitXXrVowYMQITJkzAuXPnUK9ePTRt2hRBQUGpXn/z5k00a9YM9erVw7lz5/DFF19g2LBh2LFjx1uGgERERLmTqakkupcoIe1rbGxkNWnECMl7mjfv9c8vWlRWhGJjUz529ar8LFbszfNISJCE9bZtUz6m0cj46dNyf9cuec3OnVNeO3SonFT09X3ze65fL2UhXq2XdeCAnJK0tJT7o0cD//4rK1cbNsjY2rVSf2v1ajn1ePGiVK9v0UJOVuqNrlGah4eH8vb21hpzdXVV48aNS/X6sWPHKldXV62xAQMGqFq1aqX7PbkiRUREhighQakTJ5SaO1epJUuUunkzfc+7fFlWhxYs0B6Pi1OqdWulSpZU6uXL9L2/ublSs2al/vgXX0i+lFKS01SuXOrXvXyplEaj1IoVb35Pa2ul5s1Lvh8To1Tx4ko1barUd9/J54qJkc/Ss6esXh07ppSRkVKffqrUs2fJc9+7V1awxox58/vqIstWpGJjY+Hv7w8vLy+tcS8vL5w8eTLV55w6dSrF9U2aNMHZs2fx8uVLnYI+IiIiQ6LRSF7Q6NHAkCFpNz3+r4oVpbnyqFHSQ3DHDlmxqVsX2LMHWLIkfafgEledVq9O7hmYKCpK8r7atZP7NWrIycSAgJSvs2ePpJ7XqPHm9yxdWoqdJvL1lROM8+bJ6piDg5x4NDaW4qpxcZKrZW8P+PhIY+rEuTdvLmUkvvsu5fyzi06BVHh4OOLj42FnZ6c1bmdnh9DQ0FSfExoamur1cXFxCA8PT/U5MTExiIqK0roRERFRsvnzJbA4e1bKJHzyiSSp+/mlvlWXlvHjpV5W48ZSNiEiQrbaPvxQSiqMHi3XtWsnQU6PHlLjKtH589I38P33gapV3/x+/ftLna59++T+7dsSHD16JCUd+vdPvtbODnB0BG7ckObVqQWHLVpIGYmbN9P/mTNThk7taRILafyfUirF2JuuT2080axZs2Bra5t0c3R0zMg0iYiIDJZGI9XZr12Tk26PHwO//56y+OebVK4sgdPDh1K1vUgRCVpiYyWwSqwlZW4uJ/hCQqR2Vb16sgJVtapUiN+8OX3v9+mn0o+weXMJgk6ckNWk99+XSvSJgRsgQd3du1KnKrEP4n8ljv+3Hld20SmQKlKkCIyNjVOsPoWFhaVYdUpUvHjxVK83MTFB4cKFU33O+PHjERkZmXQLDg7WZZpERER5hkYjyee2thl/jbp1gcuXpUL69u2yxXb+PFC9uvZ1bm4SuC1dKqtTrq7Ali3SEDqx4OibJPY2/O47KQlx9Khs41WuDPzyS/LWnVJSUkEpoG9fWcG6ckX7teLjpZREjRqAs3PGP//b0KmOqJmZGdzd3eHn54e2r6wb+vn5oXXr1qk+p3bt2tizZ4/W2MGDB1G9enWYmpqm+hxzc3OYm5vrMjUiIiJ6CxoNUKvWm6+ztga8veWWUSYmQL9+cgMkx6tzZwnoeveWYGvTJlmt8vGR7cQffpDVtqlTZeXs1i3JoTpxInmbUC90zWTfsmWLMjU1VatXr1YBAQFqxIgRKn/+/OrWrVtKKaXGjRunevTokXR9YGCgsrS0VCNHjlQBAQFq9erVytTUVG1/XcnWt8ieJyIiotzn6FGlmjWT03kajVL16yv1yy/Jj4eGKtW2rTyeWFW9fHntazKLLnGHzp1tOnfujIiICEyfPh337t3Du+++C19fXzj/f03t3r17WjWlXFxc4Ovri5EjR2Lp0qUoUaIEFi9ejPbt22dWLEhERES5XL16cktIkDDp1YrtgCSe79wpOVNXr0p1+SpVkvsf6gubFhMRERG9Qpe4g732iIiIiDKIgRQRERFRBjGQIiIiIsogBlJEREREGcRAioiIiCiDGEgRERERZRADKSIiIqIMYiBFRERElEEMpIiIiIgyiIEUERERUQbp3GtPHxK72ERFRel5JkRERGToEuON9HTRyxWBVHR0NADA0dFRzzMhIiKivCI6Ohq2travvSZXNC1OSEhASEgIrK2tocmiNs9RUVFwdHREcHAwGyPrEb+HnIPfRc7A7yHn4HeRc2T1d6GUQnR0NEqUKAEjo9dnQeWKFSkjIyM4ODhky3vZ2NjwL0gOwO8h5+B3kTPwe8g5+F3kHFn5XbxpJSoRk82JiIiIMoiBFBEREVEGMZD6P3Nzc0yZMgXm5ub6nkqexu8h5+B3kTPwe8g5+F3kHDnpu8gVyeZEREREORFXpIiIiIgyiIEUERERUQYxkCIiIiLKIAZSRERERBmUZwIpHx8fuLi4wMLCAu7u7jh27Nhrrz9y5Ajc3d1hYWGB0qVLY/ny5dk0U8Ony3exc+dONG7cGEWLFoWNjQ1q166NAwcOZONsDZuufy8SnThxAiYmJqhSpUrWTjCP0PV7iImJwYQJE+Ds7Axzc3OUKVMGa9asyabZGjZdv4uNGzfCzc0NlpaWsLe3R58+fRAREZFNszVMR48eRcuWLVGiRAloNBr89NNPb3yOXv/NVnnAli1blKmpqVq5cqUKCAhQw4cPV/nz51e3b99O9frAwEBlaWmphg8frgICAtTKlSuVqamp2r59ezbP3PDo+l0MHz5cff311+rMmTPq2rVravz48crU1FT99ddf2Txzw6Prd5Ho8ePHqnTp0srLy0u5ubllz2QNWEa+h1atWqmaNWsqPz8/dfPmTXX69Gl14sSJbJy1YdL1uzh27JgyMjJSixYtUoGBgerYsWOqUqVKqk2bNtk8c8Pi6+urJkyYoHbs2KEAqF27dr32en3/m50nAikPDw/l7e2tNebq6qrGjRuX6vVjx45Vrq6uWmMDBgxQtWrVyrI55hW6fhepqVixopo2bVpmTy3Pyeh30blzZzVx4kQ1ZcoUBlKZQNfvYd++fcrW1lZFRERkx/TyFF2/i7lz56rSpUtrjS1evFg5ODhk2RzzmvQEUvr+N9vgt/ZiY2Ph7+8PLy8vrXEvLy+cPHky1eecOnUqxfVNmjTB2bNn8fLlyyybq6HLyHfxXwkJCYiOjkahQoWyYop5Rka/i7Vr1+LGjRuYMmVKVk8xT8jI97B7925Ur14dc+bMQcmSJVGuXDmMHj0az58/z44pG6yMfBeenp64c+cOfH19oZTC/fv3sX37djRv3jw7pkz/p+9/s3NF0+K3ER4ejvj4eNjZ2WmN29nZITQ0NNXnhIaGpnp9XFwcwsPDYW9vn2XzNWQZ+S7+a/78+Xj69Ck6deqUFVPMMzLyXVy/fh3jxo3DsWPHYGJi8P/pyBYZ+R4CAwNx/PhxWFhYYNeuXQgPD8egQYPw8OFD5km9hYx8F56enti4cSM6d+6MFy9eIC4uDq1atcKSJUuyY8r0f/r+N9vgV6QSaTQarftKqRRjb7o+tXHSna7fRaLNmzdj6tSp2Lp1K4oVK5ZV08tT0vtdxMfHo1u3bpg2bRrKlSuXXdPLM3T5O5GQkACNRoONGzfCw8MDzZo1w4IFC7Bu3TquSmUCXb6LgIAADBs2DJMnT4a/vz/279+PmzdvwtvbOzumSq/Q57/ZBv9/K4sUKQJjY+MU/48iLCwsRQSbqHjx4qleb2JigsKFC2fZXA1dRr6LRFu3bkXfvn2xbds2NGrUKCunmSfo+l1ER0fj7NmzOHfuHIYMGQJA/kFXSsHExAQHDx5Ew4YNs2XuhiQjfyfs7e1RsmRJ2NraJo1VqFABSincuXMH77zzTpbO2VBl5LuYNWsW6tSpgzFjxgAAKleujPz586NevXqYOXMmdy+yib7/zTb4FSkzMzO4u7vDz89Pa9zPzw+enp6pPqd27doprj948CCqV68OU1PTLJurocvIdwHISlTv3r2xadMm5h5kEl2/CxsbG1y8eBHnz59Punl7e6N8+fI4f/48atasmV1TNygZ+TtRp04dhISE4MmTJ0lj165dg5GRERwcHLJ0voYsI9/Fs2fPYGSk/c+osbExgOQVEcp6ev83O1tS2vUs8Ujr6tWrVUBAgBoxYoTKnz+/unXrllJKqXHjxqkePXokXZ94lHLkyJEqICBArV69muUPMomu38WmTZuUiYmJWrp0qbp3717S7fHjx/r6CAZD1+/iv3hqL3Po+j1ER0crBwcH1aFDB3X58mV15MgR9c4776h+/frp6yMYDF2/i7Vr1yoTExPl4+Ojbty4oY4fP66qV6+uPDw89PURDEJ0dLQ6d+6cOnfunAKgFixYoM6dO5dUhiKn/ZudJwIppZRaunSpcnZ2VmZmZqpatWrqyJEjSY/16tVL1a9fX+v633//XVWtWlWZmZmpUqVKqWXLlmXzjA2XLt9F/fr1FYAUt169emX/xA2Qrn8vXsVAKvPo+j1cuXJFNWrUSOXLl085ODioUaNGqWfPnmXzrA2Trt/F4sWLVcWKFVW+fPmUvb296t69u7pz5042z9qwHD58+LX/3c9p/2ZrlOL6IxEREVFGGHyOFBEREVFWYSBFRERElEEMpIiIiIgyiIEUERERUQYxkCIiIiLKIAZSRERERBnEQIqIiIgogxhIEREREWUQAykiIiKiDGIgRURERJRBDKSIiIiIMoiBFBEREVEG/Q9EHDCnY/H+twAAAABJRU5ErkJggg==",
       "text/plain": [
        "<Figure size 700x500 with 1 Axes>"
       ]
@@ -4390,7 +4392,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 202,
+   "execution_count": 289,
    "id": "25304c9b-ca20-46b5-9cd3-29641eb359b5",
    "metadata": {},
    "outputs": [],
@@ -4400,7 +4402,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 203,
+   "execution_count": 290,
    "id": "f5897d6d-7a7f-4ff2-aa1a-737fa9c99dfc",
    "metadata": {},
    "outputs": [],
@@ -4410,7 +4412,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 204,
+   "execution_count": 291,
    "id": "46356565-2cd8-4a57-8949-65f36edb21d0",
    "metadata": {},
    "outputs": [],
@@ -4422,7 +4424,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 205,
+   "execution_count": 292,
    "id": "76da7547-51d2-456d-8dcc-05939c540b17",
    "metadata": {},
    "outputs": [],
@@ -4432,7 +4434,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 206,
+   "execution_count": 293,
    "id": "7b8c176b-b2c8-4af4-9099-2a4ef5f474aa",
    "metadata": {},
    "outputs": [
@@ -4441,13 +4443,13 @@
      "output_type": "stream",
      "text": [
       "Best regarding ASF: Point \n",
-      "i = 38\n",
-      "F = [  0.67479255 -40.58792703]\n"
+      "i = 28\n",
+      "F = [672.8851194  -40.80941077]\n"
      ]
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 700x500 with 1 Axes>"
       ]
@@ -4468,7 +4470,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 207,
+   "execution_count": 294,
    "id": "356a9563-3ce2-4a08-b3a6-16a0524d4b39",
    "metadata": {},
    "outputs": [],
@@ -4478,7 +4480,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 208,
+   "execution_count": 295,
    "id": "c1aa2141-6ede-409b-966b-35de47d9f8a5",
    "metadata": {},
    "outputs": [],
@@ -4491,7 +4493,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 209,
+   "execution_count": 296,
    "id": "1762a250-d396-4ad7-a940-71b7cb96a3d1",
    "metadata": {},
    "outputs": [
@@ -4500,13 +4502,13 @@
      "output_type": "stream",
      "text": [
       "Best regarding Pseudo Weights: Point \n",
-      "i = 33\n",
-      "F = [  0.71072492 -41.0853401 ]\n"
+      "i = 79\n",
+      "F = [707.71316018 -41.36458738]\n"
      ]
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 700x500 with 1 Axes>"
       ]
@@ -4530,7 +4532,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 210,
+   "execution_count": 297,
    "id": "9521157c-a7f5-4d55-b709-47a0ef271fec",
    "metadata": {},
    "outputs": [],
@@ -4540,20 +4542,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 211,
+   "execution_count": 298,
    "id": "172435f2-0325-431c-aa6b-e9e2a551d6b8",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "array([6.18387027e+01, 2.49571842e+01, 5.55173908e+00, 7.65234323e+00,\n",
-       "       1.00000000e+00, 2.50000000e+01, 3.85000000e+02, 1.91937722e+00,\n",
-       "       1.03636510e+00, 6.03387650e-04, 2.46578771e-02, 2.18700004e+01,\n",
-       "       2.87376657e-02, 3.17312598e-04])"
+       "array([6.26033635e+01, 2.35335203e+01, 6.58803121e+00, 7.27505360e+00,\n",
+       "       1.00000000e+00, 2.50000000e+01, 3.85000000e+02, 6.80729623e-01,\n",
+       "       1.35473632e+00, 6.72267674e-02, 3.73696286e-02, 2.99844522e+01,\n",
+       "       5.56078505e+00, 1.60924140e-02])"
       ]
      },
-     "execution_count": 211,
+     "execution_count": 298,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4564,7 +4566,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 221,
+   "execution_count": 299,
    "id": "332f44b4-87c9-40ef-aeae-4fda29222182",
    "metadata": {},
    "outputs": [],
@@ -4574,7 +4576,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 222,
+   "execution_count": 300,
    "id": "3891aea9-5694-408c-8643-96e41058e1fd",
    "metadata": {},
    "outputs": [],
@@ -4586,7 +4588,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 223,
+   "execution_count": 301,
    "id": "87d19182-ae5a-4f5f-9fe3-d34acbd6158b",
    "metadata": {},
    "outputs": [
@@ -4595,7 +4597,7 @@
      "evalue": "unexpected indent (262695375.py, line 2)",
      "output_type": "error",
      "traceback": [
-      "\u001b[0;36m  Cell \u001b[0;32mIn[223], line 2\u001b[0;36m\u001b[0m\n\u001b[0;31m    'limestone', 'silica_fume', 'GGBFS', 'fly_ash', 'calcined_clay']\u001b[0m\n\u001b[0m    ^\u001b[0m\n\u001b[0;31mIndentationError\u001b[0m\u001b[0;31m:\u001b[0m unexpected indent\n"
+      "\u001b[0;36m  Cell \u001b[0;32mIn[301], line 2\u001b[0;36m\u001b[0m\n\u001b[0;31m    'limestone', 'silica_fume', 'GGBFS', 'fly_ash', 'calcined_clay']\u001b[0m\n\u001b[0m    ^\u001b[0m\n\u001b[0;31mIndentationError\u001b[0m\u001b[0;31m:\u001b[0m unexpected indent\n"
      ]
     }
    ],
@@ -4606,7 +4608,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 224,
+   "execution_count": 302,
    "id": "629275de-3ea7-43a9-a718-1a59ff8363e6",
    "metadata": {},
    "outputs": [
@@ -4617,7 +4619,7 @@
        "         3.2 ,   0.  ,   0.  ,   0.  ,   0.  ,   0.  ])"
       ]
      },
-     "execution_count": 224,
+     "execution_count": 302,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4636,7 +4638,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 225,
+   "execution_count": 303,
    "id": "eb30440e-8126-4b6f-b5d0-f9106208b607",
    "metadata": {},
    "outputs": [
@@ -4648,7 +4650,7 @@
        "      dtype='object')"
       ]
      },
-     "execution_count": 225,
+     "execution_count": 303,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4659,7 +4661,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 226,
+   "execution_count": 304,
    "id": "7062d5c7-baee-4b81-a163-ec31278ac3c9",
    "metadata": {},
    "outputs": [
@@ -4669,7 +4671,7 @@
        "0.85"
       ]
      },
-     "execution_count": 226,
+     "execution_count": 304,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4680,17 +4682,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 227,
+   "execution_count": 305,
    "id": "22570bcb-0784-48cb-a16e-02aaae75e59d",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "0.7474156834393358"
+       "0.7445538997833627"
       ]
      },
-     "execution_count": 227,
+     "execution_count": 305,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4701,17 +4703,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 228,
+   "execution_count": 306,
    "id": "bb536318-5468-4ecd-a094-fb9d18ae0e0a",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "array([[25.99140272, 11.46867349, 29.98442348,  0.30503113]])"
+       "array([[26.2126458 , 11.52929442, 30.15511836,  0.30550136]])"
       ]
      },
-     "execution_count": 228,
+     "execution_count": 306,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4722,7 +4724,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 229,
+   "execution_count": 307,
    "id": "dba42825-6a5f-478c-b79b-2939f00a8da4",
    "metadata": {},
    "outputs": [
@@ -4732,7 +4734,7 @@
        "array([[32.27236828, 13.62794755, 35.83743054,  0.31463956]])"
       ]
      },
-     "execution_count": 229,
+     "execution_count": 307,
      "metadata": {},
      "output_type": "execute_result"
     }
diff --git a/Optimization_new.ipynb b/Optimization_new.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..94e895da07d609b061e290f408c6e387918461e8
--- /dev/null
+++ b/Optimization_new.ipynb
@@ -0,0 +1,5787 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "080d14ca-b49f-4aac-b84c-a34875cc1ab6",
+   "metadata": {},
+   "source": [
+    "# Optimization problem\n",
+    "min_recipe CO2(recipe)\n",
+    "max_recipe bulk(recipe)\n",
+    "\n",
+    "s.t. C2S+ C3S+ C4AF+ C3A+ gypsum = 100\n",
+    "     limestone + silica fume + blast furnace + fly ash + calcined clay <= 100\n",
+    "     wc_ratio = 0.45 (constant to get the influence of water cement ratio out\n",
+    "     upper and lower bounds for recipe\n",
+    "     bulk(recipe) > 10GPa\n",
+    "     \n",
+    "where bulk(recipe) is a NN trained on simulated data from first cement hydration and second elastic moduli computation from hydrated cement"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "7b7219fb-4c0e-43e5-8708-d2dc5b308872",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/tmp/ipykernel_2619361/3333811975.py:3: DeprecationWarning: \n",
+      "Pyarrow will become a required dependency of pandas in the next major release of pandas (pandas 3.0),\n",
+      "(to allow more performant data types, such as the Arrow string type, and better interoperability with other libraries)\n",
+      "but was not found to be installed on your system.\n",
+      "If this would cause problems for you,\n",
+      "please provide us feedback at https://github.com/pandas-dev/pandas/issues/54466\n",
+      "        \n",
+      "  import pandas as pd\n",
+      "2024-05-29 12:47:29.883129: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.\n",
+      "2024-05-29 12:47:29.919755: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n",
+      "2024-05-29 12:47:29.919778: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n",
+      "2024-05-29 12:47:29.920585: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n",
+      "2024-05-29 12:47:29.926328: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n",
+      "To enable the following instructions: SSE4.1 SSE4.2 AVX AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n"
+     ]
+    }
+   ],
+   "source": [
+    "import pickle\n",
+    "from joblib import dump, load\n",
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "from matplotlib import pyplot as plt\n",
+    "from ml.opt import opt, opt_gp, opt_ismo\n",
+    "from tensorflow.keras.models import load_model\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "46d9d8df-4e0d-4eb0-8f27-995a7294546b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Initialize an Algorithm\n",
+    "from pymoo.core.problem import ElementwiseProblem\n",
+    "\n",
+    "from pymoo.algorithms.moo.nsga2 import NSGA2\n",
+    "from pymoo.operators.crossover.sbx import SBX\n",
+    "from pymoo.operators.mutation.pm import PM\n",
+    "from pymoo.operators.sampling.rnd import FloatRandomSampling\n",
+    "# Define a Termination Criterion\n",
+    "from pymoo.termination import get_termination\n",
+    "from pymoo.optimize import minimize\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4381408d-b942-4287-bbfe-ad63fa18b511",
+   "metadata": {},
+   "source": [
+    "\n",
+    "    emission_factors ={\n",
+    "            'C3S':0.74,\n",
+    "            'C2S':0.74,\n",
+    "            'C3A':0.74,\n",
+    "            'C4AF':0.74,\n",
+    "          'fly_ash' : 0.004,# values from Alsalaman + al\n",
+    "          'CSH2': 0.0082, # RER market ecoinvent\n",
+    "          'silica_fume' : 0.0035, # GLO market ecoinvent \n",
+    "          'GGBFS' : 0.13, # ROW market ecoinvent\n",
+    "          'limestone': 0.0023, # CH market #0.00313,  #value from A Review of Carbon Footprint Reduction in Construction Industry, from Design to Operation  Sizirici + al\n",
+    "          'calcined_clay': 0.27, # ROW market #0.196, #best value from Limestone calcined clay cement as a low-carbon solution to meet expanding cement demand in emerging economies, Yudiesky + al.\n",
+    "               \n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "2fec96e8-70bd-4f1e-b19b-e1c3bc5c1afe",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def normalized_CO2_emission_fct(x):\n",
+    "\n",
+    "    emission_factors = [0.74, 0.74, 0.74, 0.74, 0.0082, 0.0023, 0.0035, 0.13, 0.004,0.27,0]\n",
+    "    \n",
+    "    # Calculate the total CO2 emissions for each material\n",
+    "    \n",
+    "    if x.shape == (11,):    \n",
+    "        total_emissions = np.sum(x*emission_factors)\n",
+    "        total_cementitious_mass  = np.sum(x[:-1])\n",
+    "        total_water_mass = total_cementitious_mass * x[: -1]\n",
+    "    else:\n",
+    "        #print(x.shape)\n",
+    "        total_emissions = np.sum(x*emission_factors, axis = 1)\n",
+    "        total_cementitious_mass  = np.sum(x[:, :-1], axis=1)\n",
+    "        total_water_mass = total_cementitious_mass * x[:, -1]    \n",
+    "    # Calculate the mass of water based on the wc_ratio and the total mass of cementitious materials\n",
+    "    # Summing only those materials that are cementitious (cement and similar)\n",
+    "\n",
+    "    \n",
+    "\n",
+    "\n",
+    "    # Total mass including water\n",
+    "    total_mass = total_cementitious_mass + total_water_mass\n",
+    "    \n",
+    "    # Normalize emissions by the total mass\n",
+    "    normalized_emissions = total_emissions / total_mass\n",
+    "\n",
+    "    return normalized_emissions\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ca922262-aada-4e8f-955e-7b9aa501cad8",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "6060e37e-b331-4a6f-8ddb-3c42690fa280",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load the model outside the function to avoid repeated loading\n",
+    "global elastic_model\n",
+    "elastic_model = None\n",
+    "\n",
+    "def elasticity(x):\n",
+    "    global elastic_model\n",
+    "    if elastic_model is None:\n",
+    "        model_path = '/mnt/disk1/projects/Cement/02-Software_and_Models/Models/Output/Models/elasticity_NN_5000.h5'\n",
+    "        elastic_model = load_model(model_path, compile=False)\n",
+    "    \n",
+    "    if x.ndim == 1: \n",
+    "        x = x.reshape(1, -1)  # Reshape to maintain consistent input shape (batch_size, features)\n",
+    "    \n",
+    "    return elastic_model.predict(x)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d523bdf7-d4ff-4052-985e-51a1421cc1ad",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "fa0cbb11-a45c-424e-8a1e-cd1a09d601cd",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Implement the Multiobjective Optimization Problem:\n",
+    "class MyProblem1(ElementwiseProblem):\n",
+    "\n",
+    "    def __init__(self):\n",
+    "        super().__init__(n_var = 11, \n",
+    "                        n_obj = 2, \n",
+    "                        n_ieq_constr = 4, \n",
+    "                        n_eq_constr = 0, \n",
+    "                        xl = [45, 10, 0, 0, 3.9, 0, 0, 0, 0, 0, 0.44], \n",
+    "                        xu = [80, 32, 14, 15, 4.1, 20, 10, 35, 35, 35,0.46])\n",
+    "\n",
+    "\n",
+    "    def _evaluate(self, x, out, *args, **kwargs):\n",
+    "        # Ensuring x is 2D for consistent handling in functions\n",
+    "        if x.ndim == 1:\n",
+    "            x = np.expand_dims(x, axis=0)\n",
+    "        \n",
+    "        # Calculate objectives\n",
+    "        f1 = normalized_CO2_emission_fct(x)  # Ensure this returns a scalar or a 1D array with consistent shape\n",
+    "        f2_vals = elasticity(x)  # Ensure this returns a 2D array with consistent shape\n",
+    "        f2 = -f2_vals[:, 0] if f2_vals.ndim > 1 else -f2_vals[0]  # Negate for maximization\n",
+    "        \n",
+    "        # Constraints\n",
+    "        g1 = 10 - f2_vals[:, 0] if f2_vals.ndim > 1 else 10 - f2_vals[0]  # Ensuring access to the right index\n",
+    "        g2 = np.sum(x[:, 5:10], axis=1) - 100  # Check indices for SCM\n",
+    "        g3 = np.sum(x[:, :5], axis=1) - 105\n",
+    "        g4 = 95 - np.sum(x[:, :5], axis=1) \n",
+    "        #  h1 = np.sum(x[:, :5], axis=1) - 100  # Check indices for cement ingredients\n",
+    "        #h2 = x[:, -1] - 0.45  # Last column for wc_ratio\n",
+    "    \n",
+    "        # Set outputs\n",
+    "        out[\"F\"] = np.column_stack([f1, f2])  # Ensure correct stacking\n",
+    "        out[\"G\"] = np.column_stack([g1, g2, g3, g4])  # Ensure correct stacking\n",
+    "      #  out[\"H\"] = np.column_stack([h1])#, h2])  # Ensure correct stacking\n",
+    "\n",
+    "\n",
+    "\n",
+    "\n",
+    "\n",
+    "problem = MyProblem1()        "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "id": "2431546a-c885-4c03-817f-f4a1265ff836",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "algorithm = NSGA2(\n",
+    "    pop_size=100,\n",
+    "    n_offsprings=10,\n",
+    "    sampling=FloatRandomSampling(),\n",
+    "    crossover=SBX(prob=0.9, eta=15),\n",
+    "    mutation=PM(eta=20),\n",
+    "    eliminate_duplicates=True\n",
+    ")\n",
+    "termination = get_termination(\"n_gen\", 1000)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "32c82bba-3d7d-49ac-97e3-c169ae2bd51e",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1/1 [==============================] - 0s 27ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
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+      "1/1 [==============================] - 0s 22ms/step\n",
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+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "==========================================================================================\n",
+      "n_gen  |  n_eval  | n_nds  |     cv_min    |     cv_avg    |      eps      |   indicator  \n",
+      "==========================================================================================\n",
+      "     1 |      100 |      1 |  0.000000E+00 |  7.1319123256 |             - |             -\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
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+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "     2 |      110 |      1 |  0.000000E+00 |  5.4158268028 |  0.000000E+00 |             f\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
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+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "     3 |      120 |      1 |  0.000000E+00 |  3.9903806912 |  0.000000E+00 |             f\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "     4 |      130 |      2 |  0.000000E+00 |  2.8513265721 |  1.0000000000 |         ideal\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "     5 |      140 |      3 |  0.000000E+00 |  2.1527049807 |  0.0369314025 |         ideal\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "     6 |      150 |      3 |  0.000000E+00 |  1.5654890419 |  0.000000E+00 |             f\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "     7 |      160 |      3 |  0.000000E+00 |  1.1443438932 |  0.000000E+00 |             f\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "     8 |      170 |      3 |  0.000000E+00 |  0.9654460790 |  0.000000E+00 |             f\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "     9 |      180 |      3 |  0.000000E+00 |  0.6785762177 |  0.000000E+00 |             f\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "    10 |      190 |      3 |  0.000000E+00 |  0.4598144297 |  0.2667581284 |         ideal\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "    11 |      200 |      3 |  0.000000E+00 |  0.2221256948 |  0.000000E+00 |             f\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "    12 |      210 |      3 |  0.000000E+00 |  0.1182952376 |  0.000000E+00 |             f\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 24ms/step\n",
+      "1/1 [==============================] - 0s 24ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "    13 |      220 |      3 |  0.000000E+00 |  0.0612924539 |  0.000000E+00 |             f\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "    14 |      230 |      3 |  0.000000E+00 |  0.0061142969 |  0.000000E+00 |             f\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "    15 |      240 |      3 |  0.000000E+00 |  0.000000E+00 |  0.000000E+00 |             f\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "    16 |      250 |      3 |  0.000000E+00 |  0.000000E+00 |  0.000000E+00 |             f\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "    17 |      260 |      3 |  0.000000E+00 |  0.000000E+00 |  0.000000E+00 |             f\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "    18 |      270 |      3 |  0.000000E+00 |  0.000000E+00 |  0.000000E+00 |             f\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "    19 |      280 |      3 |  0.000000E+00 |  0.000000E+00 |  0.000000E+00 |             f\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 25ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "    20 |      290 |      3 |  0.000000E+00 |  0.000000E+00 |  0.000000E+00 |             f\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "    21 |      300 |      3 |  0.000000E+00 |  0.000000E+00 |  0.000000E+00 |             f\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "    22 |      310 |      3 |  0.000000E+00 |  0.000000E+00 |  0.000000E+00 |             f\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "    23 |      320 |      3 |  0.000000E+00 |  0.000000E+00 |  0.000000E+00 |             f\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "    24 |      330 |      3 |  0.000000E+00 |  0.000000E+00 |  0.000000E+00 |             f\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "    25 |      340 |      3 |  0.000000E+00 |  0.000000E+00 |  0.000000E+00 |             f\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "    26 |      350 |      4 |  0.000000E+00 |  0.000000E+00 |  0.1864695700 |         ideal\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "    27 |      360 |      5 |  0.000000E+00 |  0.000000E+00 |  0.0303064844 |             f\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "    28 |      370 |      5 |  0.000000E+00 |  0.000000E+00 |  0.000000E+00 |             f\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "    29 |      380 |      6 |  0.000000E+00 |  0.000000E+00 |  0.0137819750 |             f\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "    30 |      390 |      6 |  0.000000E+00 |  0.000000E+00 |  0.000000E+00 |             f\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "    31 |      400 |      6 |  0.000000E+00 |  0.000000E+00 |  0.000000E+00 |             f\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 24ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "    32 |      410 |      6 |  0.000000E+00 |  0.000000E+00 |  0.000000E+00 |             f\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "    33 |      420 |      7 |  0.000000E+00 |  0.000000E+00 |  0.0232070509 |             f\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "    34 |      430 |      7 |  0.000000E+00 |  0.000000E+00 |  0.0192984888 |             f\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
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+      "1/1 [==============================] - 0s 24ms/step\n",
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+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 24ms/step\n",
+      "   100 |     1090 |     22 |  0.000000E+00 |  0.000000E+00 |  0.0113845500 |             f\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
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+      "1/1 [==============================] - 0s 23ms/step\n",
+      "   101 |     1100 |     23 |  0.000000E+00 |  0.000000E+00 |  0.0759898911 |         ideal\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
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+      "1/1 [==============================] - 0s 23ms/step\n",
+      "   102 |     1110 |     24 |  0.000000E+00 |  0.000000E+00 |  0.0031546546 |             f\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
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+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "   103 |     1120 |     24 |  0.000000E+00 |  0.000000E+00 |  0.000000E+00 |             f\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
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+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "   104 |     1130 |     25 |  0.000000E+00 |  0.000000E+00 |  0.0014637807 |             f\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
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+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "   105 |     1140 |     26 |  0.000000E+00 |  0.000000E+00 |  0.0014308419 |             f\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
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+      "   106 |     1150 |     26 |  0.000000E+00 |  0.000000E+00 |  0.0035489720 |             f\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
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+      "1/1 [==============================] - 0s 22ms/step\n",
+      "   107 |     1160 |     28 |  0.000000E+00 |  0.000000E+00 |  0.0024052414 |             f\n",
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+      "   108 |     1170 |     26 |  0.000000E+00 |  0.000000E+00 |  0.0042460058 |             f\n",
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+      "   109 |     1180 |     26 |  0.000000E+00 |  0.000000E+00 |  0.0015242668 |             f\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
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+      "   110 |     1190 |     27 |  0.000000E+00 |  0.000000E+00 |  0.0024605168 |             f\n",
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+      "   111 |     1200 |     27 |  0.000000E+00 |  0.000000E+00 |  0.0024605168 |             f\n",
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+      "   112 |     1210 |     27 |  0.000000E+00 |  0.000000E+00 |  0.0024605168 |             f\n",
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+      "   113 |     1220 |     26 |  0.000000E+00 |  0.000000E+00 |  0.0053349612 |             f\n",
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+      "   118 |     1270 |     29 |  0.000000E+00 |  0.000000E+00 |  0.0080593124 |             f\n",
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+      "   120 |     1290 |     26 |  0.000000E+00 |  0.000000E+00 |  0.0024850584 |             f\n",
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+      "   121 |     1300 |     26 |  0.000000E+00 |  0.000000E+00 |  0.0083108763 |         ideal\n",
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+      "   124 |     1330 |     28 |  0.000000E+00 |  0.000000E+00 |  0.0045657458 |             f\n",
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+      "   125 |     1340 |     30 |  0.000000E+00 |  0.000000E+00 |  0.0047651921 |             f\n",
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+      "   126 |     1350 |     29 |  0.000000E+00 |  0.000000E+00 |  0.0014468918 |             f\n",
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+      "   127 |     1360 |     30 |  0.000000E+00 |  0.000000E+00 |  0.0014927071 |             f\n",
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+      "   128 |     1370 |     30 |  0.000000E+00 |  0.000000E+00 |  0.0085968255 |         ideal\n",
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+      "   129 |     1380 |     29 |  0.000000E+00 |  0.000000E+00 |  0.0093829600 |             f\n",
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+      "   130 |     1390 |     32 |  0.000000E+00 |  0.000000E+00 |  0.0011780390 |             f\n",
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+      "   131 |     1400 |     30 |  0.000000E+00 |  0.000000E+00 |  0.0024849860 |             f\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "   132 |     1410 |     32 |  0.000000E+00 |  0.000000E+00 |  0.0024425306 |             f\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "   133 |     1420 |     34 |  0.000000E+00 |  0.000000E+00 |  0.0227275781 |         ideal\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "   134 |     1430 |     34 |  0.000000E+00 |  0.000000E+00 |  0.0018035252 |             f\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "   135 |     1440 |     31 |  0.000000E+00 |  0.000000E+00 |  0.0058601466 |             f\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "   136 |     1450 |     31 |  0.000000E+00 |  0.000000E+00 |  0.000000E+00 |             f\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "   137 |     1460 |     34 |  0.000000E+00 |  0.000000E+00 |  0.0035434897 |             f\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "   138 |     1470 |     30 |  0.000000E+00 |  0.000000E+00 |  0.0225440832 |         ideal\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
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+      "1/1 [==============================] - 0s 22ms/step\n",
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+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "   139 |     1480 |     31 |  0.000000E+00 |  0.000000E+00 |  0.0007224755 |             f\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "   140 |     1490 |     29 |  0.000000E+00 |  0.000000E+00 |  0.0011968149 |             f\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 24ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "   141 |     1500 |     30 |  0.000000E+00 |  0.000000E+00 |  0.0018538499 |             f\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
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+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "   142 |     1510 |     32 |  0.000000E+00 |  0.000000E+00 |  0.0070182918 |         ideal\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
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+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "   143 |     1520 |     32 |  0.000000E+00 |  0.000000E+00 |  0.0091599404 |         nadir\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
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+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "   144 |     1530 |     33 |  0.000000E+00 |  0.000000E+00 |  0.0008731428 |             f\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
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+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "   145 |     1540 |     33 |  0.000000E+00 |  0.000000E+00 |  0.0009419632 |             f\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "   146 |     1550 |     31 |  0.000000E+00 |  0.000000E+00 |  0.0036673258 |             f\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
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+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "   147 |     1560 |     36 |  0.000000E+00 |  0.000000E+00 |  0.0100317783 |         ideal\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
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+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "   148 |     1570 |     37 |  0.000000E+00 |  0.000000E+00 |  0.0015739771 |             f\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
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+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "   149 |     1580 |     37 |  0.000000E+00 |  0.000000E+00 |  0.0015739771 |             f\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
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+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "   150 |     1590 |     34 |  0.000000E+00 |  0.000000E+00 |  0.0039754468 |             f\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
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+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "   151 |     1600 |     33 |  0.000000E+00 |  0.000000E+00 |  0.0031872024 |         ideal\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
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+      "1/1 [==============================] - 0s 22ms/step\n",
+      "   152 |     1610 |     35 |  0.000000E+00 |  0.000000E+00 |  0.0005224955 |             f\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
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+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "   153 |     1620 |     35 |  0.000000E+00 |  0.000000E+00 |  0.0005224955 |             f\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
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+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "   154 |     1630 |     33 |  0.000000E+00 |  0.000000E+00 |  0.0027537963 |             f\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
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+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "   155 |     1640 |     31 |  0.000000E+00 |  0.000000E+00 |  0.0004158900 |             f\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
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+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "   156 |     1650 |     28 |  0.000000E+00 |  0.000000E+00 |  0.0016762414 |             f\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
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+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "   157 |     1660 |     27 |  0.000000E+00 |  0.000000E+00 |  0.0038801581 |             f\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
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+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "   158 |     1670 |     29 |  0.000000E+00 |  0.000000E+00 |  0.0049750370 |             f\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
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+      "1/1 [==============================] - 0s 24ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "   159 |     1680 |     29 |  0.000000E+00 |  0.000000E+00 |  0.000000E+00 |             f\n",
+      "1/1 [==============================] - 0s 24ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
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+      "1/1 [==============================] - 0s 24ms/step\n",
+      "   160 |     1690 |     29 |  0.000000E+00 |  0.000000E+00 |  0.0035602768 |             f\n",
+      "1/1 [==============================] - 0s 24ms/step\n",
+      "1/1 [==============================] - 0s 24ms/step\n",
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+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 24ms/step\n",
+      "   161 |     1700 |     30 |  0.000000E+00 |  0.000000E+00 |  0.0033941907 |             f\n",
+      "1/1 [==============================] - 0s 24ms/step\n",
+      "1/1 [==============================] - 0s 25ms/step\n",
+      "1/1 [==============================] - 0s 24ms/step\n",
+      "1/1 [==============================] - 0s 24ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 25ms/step\n",
+      "1/1 [==============================] - 0s 25ms/step\n",
+      "1/1 [==============================] - 0s 24ms/step\n",
+      "   162 |     1710 |     31 |  0.000000E+00 |  0.000000E+00 |  0.0013136777 |             f\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
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+      "1/1 [==============================] - 0s 24ms/step\n",
+      "1/1 [==============================] - 0s 24ms/step\n",
+      "1/1 [==============================] - 0s 24ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "   163 |     1720 |     36 |  0.000000E+00 |  0.000000E+00 |  0.0025839260 |         ideal\n",
+      "1/1 [==============================] - 0s 24ms/step\n",
+      "1/1 [==============================] - 0s 24ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 24ms/step\n",
+      "1/1 [==============================] - 0s 24ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 25ms/step\n",
+      "   164 |     1730 |     36 |  0.000000E+00 |  0.000000E+00 |  0.000000E+00 |             f\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 26ms/step\n",
+      "1/1 [==============================] - 0s 24ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 24ms/step\n",
+      "   165 |     1740 |     34 |  0.000000E+00 |  0.000000E+00 |  0.0018575562 |             f\n",
+      "1/1 [==============================] - 0s 24ms/step\n",
+      "1/1 [==============================] - 0s 24ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "   166 |     1750 |     34 |  0.000000E+00 |  0.000000E+00 |  0.0018575562 |             f\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "   167 |     1760 |     36 |  0.000000E+00 |  0.000000E+00 |  0.0023870501 |             f\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "   168 |     1770 |     37 |  0.000000E+00 |  0.000000E+00 |  0.0039548502 |             f\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "   169 |     1780 |     36 |  0.000000E+00 |  0.000000E+00 |  0.0005760095 |             f\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
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+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "   170 |     1790 |     37 |  0.000000E+00 |  0.000000E+00 |  0.0160727871 |         nadir\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
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+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "   171 |     1800 |     37 |  0.000000E+00 |  0.000000E+00 |  0.0036181073 |             f\n",
+      "1/1 [==============================] - 0s 24ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
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+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "   172 |     1810 |     36 |  0.000000E+00 |  0.000000E+00 |  0.0003515916 |             f\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
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+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "   173 |     1820 |     33 |  0.000000E+00 |  0.000000E+00 |  0.0023397508 |             f\n",
+      "1/1 [==============================] - 0s 24ms/step\n",
+      "1/1 [==============================] - 0s 24ms/step\n",
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+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "   174 |     1830 |     34 |  0.000000E+00 |  0.000000E+00 |  0.0145293933 |         ideal\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
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+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "   175 |     1840 |     36 |  0.000000E+00 |  0.000000E+00 |  0.0007682404 |             f\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
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+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "   176 |     1850 |     35 |  0.000000E+00 |  0.000000E+00 |  0.0016311045 |             f\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
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+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "   177 |     1860 |     33 |  0.000000E+00 |  0.000000E+00 |  0.0303061723 |         ideal\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
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+      "1/1 [==============================] - 0s 22ms/step\n",
+      "   178 |     1870 |     37 |  0.000000E+00 |  0.000000E+00 |  0.0018850119 |             f\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
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+      "1/1 [==============================] - 0s 23ms/step\n",
+      "   179 |     1880 |     37 |  0.000000E+00 |  0.000000E+00 |  0.0018850119 |             f\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
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+      "1/1 [==============================] - 0s 25ms/step\n",
+      "   180 |     1890 |     38 |  0.000000E+00 |  0.000000E+00 |  0.0020757408 |             f\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
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+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "   181 |     1900 |     38 |  0.000000E+00 |  0.000000E+00 |  0.0020757408 |             f\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
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+      "1/1 [==============================] - 0s 22ms/step\n",
+      "   182 |     1910 |     39 |  0.000000E+00 |  0.000000E+00 |  0.0032865186 |             f\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
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+      "1/1 [==============================] - 0s 22ms/step\n",
+      "   183 |     1920 |     40 |  0.000000E+00 |  0.000000E+00 |  0.0095790296 |         ideal\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
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+      "1/1 [==============================] - 0s 22ms/step\n",
+      "   184 |     1930 |     40 |  0.000000E+00 |  0.000000E+00 |  0.000000E+00 |             f\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
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+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "   185 |     1940 |     43 |  0.000000E+00 |  0.000000E+00 |  0.0004774967 |             f\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
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+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "   186 |     1950 |     46 |  0.000000E+00 |  0.000000E+00 |  0.0061774563 |         ideal\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
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+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "   187 |     1960 |     48 |  0.000000E+00 |  0.000000E+00 |  0.0012560725 |             f\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
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+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "   188 |     1970 |     50 |  0.000000E+00 |  0.000000E+00 |  0.0024364504 |             f\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
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+      "1/1 [==============================] - 0s 22ms/step\n",
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+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "   189 |     1980 |     51 |  0.000000E+00 |  0.000000E+00 |  0.0028328364 |             f\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
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+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "   190 |     1990 |     51 |  0.000000E+00 |  0.000000E+00 |  0.0006101549 |             f\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
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+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "   191 |     2000 |     52 |  0.000000E+00 |  0.000000E+00 |  0.0006882098 |             f\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
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+      "1/1 [==============================] - 0s 22ms/step\n",
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+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "   192 |     2010 |     53 |  0.000000E+00 |  0.000000E+00 |  0.0015878876 |             f\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
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+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "   193 |     2020 |     55 |  0.000000E+00 |  0.000000E+00 |  0.0025769899 |             f\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
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+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "   194 |     2030 |     56 |  0.000000E+00 |  0.000000E+00 |  0.0003981649 |             f\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
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+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "   195 |     2040 |     57 |  0.000000E+00 |  0.000000E+00 |  0.0004542869 |             f\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
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+      "   196 |     2050 |     57 |  0.000000E+00 |  0.000000E+00 |  0.0009998488 |             f\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
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+      "1/1 [==============================] - 0s 22ms/step\n",
+      "   197 |     2060 |     58 |  0.000000E+00 |  0.000000E+00 |  0.0011278689 |             f\n",
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+      "1/1 [==============================] - 0s 22ms/step\n",
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+      "   198 |     2070 |     56 |  0.000000E+00 |  0.000000E+00 |  0.0022987419 |             f\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
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+      "   199 |     2080 |     55 |  0.000000E+00 |  0.000000E+00 |  0.0027510115 |             f\n",
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+      "   200 |     2090 |     54 |  0.000000E+00 |  0.000000E+00 |  0.0008006819 |             f\n",
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+      "   201 |     2100 |     54 |  0.000000E+00 |  0.000000E+00 |  0.0011746341 |             f\n",
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+      "   202 |     2110 |     54 |  0.000000E+00 |  0.000000E+00 |  0.0015049134 |             f\n",
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+      "   203 |     2120 |     52 |  0.000000E+00 |  0.000000E+00 |  0.0018961484 |             f\n",
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+      "   204 |     2130 |     52 |  0.000000E+00 |  0.000000E+00 |  0.0018961484 |             f\n",
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+      "   205 |     2140 |     49 |  0.000000E+00 |  0.000000E+00 |  0.0036226605 |             f\n",
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+      "   206 |     2150 |     50 |  0.000000E+00 |  0.000000E+00 |  0.0010327544 |             f\n",
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+      "   207 |     2160 |     48 |  0.000000E+00 |  0.000000E+00 |  0.0018238478 |             f\n",
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+      "   208 |     2170 |     45 |  0.000000E+00 |  0.000000E+00 |  0.0043496880 |         nadir\n",
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+      "   210 |     2190 |     39 |  0.000000E+00 |  0.000000E+00 |  0.0013671145 |             f\n",
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+      "   211 |     2200 |     38 |  0.000000E+00 |  0.000000E+00 |  0.0035384325 |             f\n",
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+      "   212 |     2210 |     38 |  0.000000E+00 |  0.000000E+00 |  0.0004252596 |             f\n",
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+      "   213 |     2220 |     36 |  0.000000E+00 |  0.000000E+00 |  0.0221208914 |         ideal\n",
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+      "   216 |     2250 |     42 |  0.000000E+00 |  0.000000E+00 |  0.0026417742 |             f\n",
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+      "   218 |     2270 |     41 |  0.000000E+00 |  0.000000E+00 |  0.0003762107 |             f\n",
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+      "   219 |     2280 |     43 |  0.000000E+00 |  0.000000E+00 |  0.0013341387 |             f\n",
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+      "   220 |     2290 |     42 |  0.000000E+00 |  0.000000E+00 |  0.0030827503 |             f\n",
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+      "   221 |     2300 |     41 |  0.000000E+00 |  0.000000E+00 |  0.0007520861 |             f\n",
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+      "   222 |     2310 |     42 |  0.000000E+00 |  0.000000E+00 |  0.0009631187 |             f\n",
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+      "   223 |     2320 |     40 |  0.000000E+00 |  0.000000E+00 |  0.0077191781 |         ideal\n",
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+      "   224 |     2330 |     42 |  0.000000E+00 |  0.000000E+00 |  0.0017745352 |             f\n",
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+      "   225 |     2340 |     42 |  0.000000E+00 |  0.000000E+00 |  0.0011165693 |             f\n",
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+      "   226 |     2350 |     43 |  0.000000E+00 |  0.000000E+00 |  0.0102693144 |         ideal\n",
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+      "   263 |     2720 |     68 |  0.000000E+00 |  0.000000E+00 |  0.0063946859 |         ideal\n",
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+      "   323 |     3320 |     93 |  0.000000E+00 |  0.000000E+00 |  0.0000615083 |             f\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "   324 |     3330 |     92 |  0.000000E+00 |  0.000000E+00 |  0.0001867752 |             f\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 25ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "   325 |     3340 |     95 |  0.000000E+00 |  0.000000E+00 |  0.0002865437 |             f\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "   326 |     3350 |     96 |  0.000000E+00 |  0.000000E+00 |  0.0004075688 |             f\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "   327 |     3360 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0007017860 |             f\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "   328 |     3370 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0008969324 |             f\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "   329 |     3380 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0010384994 |             f\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "   330 |     3390 |    100 |  0.000000E+00 |  0.000000E+00 |  0.0011082023 |             f\n",
+      "1/1 [==============================] - 0s 22ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 21ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
+      "1/1 [==============================] - 0s 22ms/step\n"
+     ]
+    }
+   ],
+   "source": [
+    "res = minimize(problem,\n",
+    "               algorithm,\n",
+    "               termination,\n",
+    "               seed=1,\n",
+    "               save_history=True,\n",
+    "               verbose=True)\n",
+    "\n",
+    "X = res.X\n",
+    "F = res.F\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 92,
+   "id": "3cf35eee-b758-4512-97c4-755399f62503",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "NDS = pd.DataFrame(X, columns = ['C3S',\n",
+    "        'C2S',\n",
+    "        'C3A',\n",
+    "        'C4AF',\n",
+    "      'CSH2',# values from Alsalaman + al\n",
+    "      'limestone', # RER market ecoinvent\n",
+    "      'silica_fume', # GLO market ecoinvent \n",
+    "      'GGBFS', # ROW market ecoinvent\n",
+    "      'fly_ash', # CH market #0.00313,  #value from A Review of Carbon Footprint Reduction in Construction Industry, from Design to Operation  Sizirici + al\n",
+    "      'calcined_clay',\n",
+    "    'wc_ratio'])\n",
+    "\n",
+    "\n",
+    "\n",
+    "\n",
+    "                   "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 93,
+   "id": "ba181f15-3a64-40a1-a182-cbac363c7d48",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>C3S</th>\n",
+       "      <th>C2S</th>\n",
+       "      <th>C3A</th>\n",
+       "      <th>C4AF</th>\n",
+       "      <th>CSH2</th>\n",
+       "      <th>limestone</th>\n",
+       "      <th>silica_fume</th>\n",
+       "      <th>GGBFS</th>\n",
+       "      <th>fly_ash</th>\n",
+       "      <th>calcined_clay</th>\n",
+       "      <th>wc_ratio</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>56.255605</td>\n",
+       "      <td>20.901711</td>\n",
+       "      <td>5.824443</td>\n",
+       "      <td>8.057120</td>\n",
+       "      <td>3.995373</td>\n",
+       "      <td>19.990118</td>\n",
+       "      <td>9.885612</td>\n",
+       "      <td>34.983733</td>\n",
+       "      <td>34.996078</td>\n",
+       "      <td>0.124323</td>\n",
+       "      <td>0.459313</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>72.806729</td>\n",
+       "      <td>21.519854</td>\n",
+       "      <td>6.030188</td>\n",
+       "      <td>0.686560</td>\n",
+       "      <td>3.914426</td>\n",
+       "      <td>1.200620</td>\n",
+       "      <td>0.375151</td>\n",
+       "      <td>34.982629</td>\n",
+       "      <td>33.675934</td>\n",
+       "      <td>0.001352</td>\n",
+       "      <td>0.440096</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>54.054221</td>\n",
+       "      <td>20.440704</td>\n",
+       "      <td>9.153544</td>\n",
+       "      <td>7.508157</td>\n",
+       "      <td>3.977680</td>\n",
+       "      <td>19.998377</td>\n",
+       "      <td>9.981476</td>\n",
+       "      <td>34.981368</td>\n",
+       "      <td>34.987808</td>\n",
+       "      <td>0.010712</td>\n",
+       "      <td>0.458654</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>72.829134</td>\n",
+       "      <td>21.527339</td>\n",
+       "      <td>6.030834</td>\n",
+       "      <td>0.631956</td>\n",
+       "      <td>3.933586</td>\n",
+       "      <td>19.307449</td>\n",
+       "      <td>3.209386</td>\n",
+       "      <td>34.992595</td>\n",
+       "      <td>34.852422</td>\n",
+       "      <td>0.003674</td>\n",
+       "      <td>0.440082</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>72.790711</td>\n",
+       "      <td>19.925062</td>\n",
+       "      <td>6.939147</td>\n",
+       "      <td>1.417903</td>\n",
+       "      <td>3.915958</td>\n",
+       "      <td>19.659537</td>\n",
+       "      <td>7.371652</td>\n",
+       "      <td>34.981722</td>\n",
+       "      <td>34.966679</td>\n",
+       "      <td>0.000234</td>\n",
+       "      <td>0.440091</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>95</th>\n",
+       "      <td>72.850920</td>\n",
+       "      <td>19.815090</td>\n",
+       "      <td>7.759610</td>\n",
+       "      <td>0.134451</td>\n",
+       "      <td>3.995922</td>\n",
+       "      <td>19.976052</td>\n",
+       "      <td>9.975578</td>\n",
+       "      <td>34.972461</td>\n",
+       "      <td>34.999651</td>\n",
+       "      <td>0.000220</td>\n",
+       "      <td>0.459644</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>96</th>\n",
+       "      <td>72.934477</td>\n",
+       "      <td>20.553413</td>\n",
+       "      <td>7.206980</td>\n",
+       "      <td>0.307148</td>\n",
+       "      <td>3.932628</td>\n",
+       "      <td>10.223613</td>\n",
+       "      <td>1.177818</td>\n",
+       "      <td>34.995785</td>\n",
+       "      <td>34.996462</td>\n",
+       "      <td>0.005575</td>\n",
+       "      <td>0.441649</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>97</th>\n",
+       "      <td>72.795015</td>\n",
+       "      <td>21.503092</td>\n",
+       "      <td>6.049069</td>\n",
+       "      <td>0.683024</td>\n",
+       "      <td>3.941220</td>\n",
+       "      <td>8.370071</td>\n",
+       "      <td>0.407813</td>\n",
+       "      <td>34.993617</td>\n",
+       "      <td>34.985313</td>\n",
+       "      <td>0.000084</td>\n",
+       "      <td>0.440103</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>98</th>\n",
+       "      <td>72.936755</td>\n",
+       "      <td>19.520461</td>\n",
+       "      <td>5.670092</td>\n",
+       "      <td>0.108941</td>\n",
+       "      <td>3.982915</td>\n",
+       "      <td>19.989571</td>\n",
+       "      <td>9.976714</td>\n",
+       "      <td>34.992856</td>\n",
+       "      <td>34.990687</td>\n",
+       "      <td>0.000068</td>\n",
+       "      <td>0.459438</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>99</th>\n",
+       "      <td>56.660529</td>\n",
+       "      <td>21.636953</td>\n",
+       "      <td>9.153544</td>\n",
+       "      <td>7.484811</td>\n",
+       "      <td>3.985941</td>\n",
+       "      <td>19.934904</td>\n",
+       "      <td>9.980880</td>\n",
+       "      <td>34.985790</td>\n",
+       "      <td>34.996769</td>\n",
+       "      <td>0.010712</td>\n",
+       "      <td>0.458685</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>100 rows × 11 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          C3S        C2S       C3A      C4AF      CSH2  limestone  \\\n",
+       "0   56.255605  20.901711  5.824443  8.057120  3.995373  19.990118   \n",
+       "1   72.806729  21.519854  6.030188  0.686560  3.914426   1.200620   \n",
+       "2   54.054221  20.440704  9.153544  7.508157  3.977680  19.998377   \n",
+       "3   72.829134  21.527339  6.030834  0.631956  3.933586  19.307449   \n",
+       "4   72.790711  19.925062  6.939147  1.417903  3.915958  19.659537   \n",
+       "..        ...        ...       ...       ...       ...        ...   \n",
+       "95  72.850920  19.815090  7.759610  0.134451  3.995922  19.976052   \n",
+       "96  72.934477  20.553413  7.206980  0.307148  3.932628  10.223613   \n",
+       "97  72.795015  21.503092  6.049069  0.683024  3.941220   8.370071   \n",
+       "98  72.936755  19.520461  5.670092  0.108941  3.982915  19.989571   \n",
+       "99  56.660529  21.636953  9.153544  7.484811  3.985941  19.934904   \n",
+       "\n",
+       "    silica_fume      GGBFS    fly_ash  calcined_clay  wc_ratio  \n",
+       "0      9.885612  34.983733  34.996078       0.124323  0.459313  \n",
+       "1      0.375151  34.982629  33.675934       0.001352  0.440096  \n",
+       "2      9.981476  34.981368  34.987808       0.010712  0.458654  \n",
+       "3      3.209386  34.992595  34.852422       0.003674  0.440082  \n",
+       "4      7.371652  34.981722  34.966679       0.000234  0.440091  \n",
+       "..          ...        ...        ...            ...       ...  \n",
+       "95     9.975578  34.972461  34.999651       0.000220  0.459644  \n",
+       "96     1.177818  34.995785  34.996462       0.005575  0.441649  \n",
+       "97     0.407813  34.993617  34.985313       0.000084  0.440103  \n",
+       "98     9.976714  34.992856  34.990687       0.000068  0.459438  \n",
+       "99     9.980880  34.985790  34.996769       0.010712  0.458685  \n",
+       "\n",
+       "[100 rows x 11 columns]"
+      ]
+     },
+     "execution_count": 93,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#NDS.loc[100,:]=[112,40,10,17,8,0,0,0,0,0,0.45]\n",
+    "NDS"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 94,
+   "id": "cc065d56-6704-4ad1-94ab-554acb80c7a4",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "4/4 [==============================] - 0s 1ms/step\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>K</th>\n",
+       "      <th>G</th>\n",
+       "      <th>E</th>\n",
+       "      <th>P</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>50.427559</td>\n",
+       "      <td>18.561268</td>\n",
+       "      <td>49.598442</td>\n",
+       "      <td>0.336074</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>66.723564</td>\n",
+       "      <td>24.343615</td>\n",
+       "      <td>65.112259</td>\n",
+       "      <td>0.337358</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>51.598602</td>\n",
+       "      <td>18.949120</td>\n",
+       "      <td>50.647423</td>\n",
+       "      <td>0.336406</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>62.830063</td>\n",
+       "      <td>22.938843</td>\n",
+       "      <td>61.350330</td>\n",
+       "      <td>0.337259</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>61.956963</td>\n",
+       "      <td>22.628551</td>\n",
+       "      <td>60.517990</td>\n",
+       "      <td>0.337204</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>95</th>\n",
+       "      <td>59.237152</td>\n",
+       "      <td>21.669220</td>\n",
+       "      <td>57.942451</td>\n",
+       "      <td>0.336976</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>96</th>\n",
+       "      <td>64.544350</td>\n",
+       "      <td>23.555502</td>\n",
+       "      <td>63.002266</td>\n",
+       "      <td>0.337315</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>97</th>\n",
+       "      <td>65.236519</td>\n",
+       "      <td>23.805326</td>\n",
+       "      <td>63.671261</td>\n",
+       "      <td>0.337332</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>98</th>\n",
+       "      <td>56.707394</td>\n",
+       "      <td>20.789633</td>\n",
+       "      <td>55.577137</td>\n",
+       "      <td>0.336655</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>99</th>\n",
+       "      <td>54.415916</td>\n",
+       "      <td>19.945673</td>\n",
+       "      <td>53.322102</td>\n",
+       "      <td>0.336683</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>100 rows × 4 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            K          G          E         P\n",
+       "0   50.427559  18.561268  49.598442  0.336074\n",
+       "1   66.723564  24.343615  65.112259  0.337358\n",
+       "2   51.598602  18.949120  50.647423  0.336406\n",
+       "3   62.830063  22.938843  61.350330  0.337259\n",
+       "4   61.956963  22.628551  60.517990  0.337204\n",
+       "..        ...        ...        ...       ...\n",
+       "95  59.237152  21.669220  57.942451  0.336976\n",
+       "96  64.544350  23.555502  63.002266  0.337315\n",
+       "97  65.236519  23.805326  63.671261  0.337332\n",
+       "98  56.707394  20.789633  55.577137  0.336655\n",
+       "99  54.415916  19.945673  53.322102  0.336683\n",
+       "\n",
+       "[100 rows x 4 columns]"
+      ]
+     },
+     "execution_count": 94,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "EL12 = elasticity(NDS)\n",
+    "EL12 = pd.DataFrame(EL12, columns = ['K','G'])\n",
+    "EL12['E']=9*1/(1/EL12['K'].values + 3/EL12['G'].values)\n",
+    "EL12['P']=(3*EL12['K'].values - 2*EL12['G'].values)/(2*(3*EL12['K'].values + EL12['G'].values))\n",
+    "EL12"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 95,
+   "id": "c9564494-54c4-470c-a8ea-2faf4a9b8b09",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[<matplotlib.lines.Line2D at 0x7f308c57d780>]"
+      ]
+     },
+     "execution_count": 95,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.plot(-F[:,1],F[:,0],'*')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 96,
+   "id": "4f867e27-6165-4ac1-ac03-8e1ae0e26814",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "new_order = [\n",
+    "    'C3S', 'C2S', 'C3A', 'C4AF', 'wc', \n",
+    "    'RH', 'T', 'fineness', 'CSH2', \n",
+    "    'limestone', 'silica_fume', 'GGBFS',\n",
+    "    'fly_ash', 'calcined_clay']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 97,
+   "id": "fb127f42-041d-47d6-963d-9b0d80fd330f",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>C3S</th>\n",
+       "      <th>C2S</th>\n",
+       "      <th>C3A</th>\n",
+       "      <th>C4AF</th>\n",
+       "      <th>wc</th>\n",
+       "      <th>RH</th>\n",
+       "      <th>T</th>\n",
+       "      <th>fineness</th>\n",
+       "      <th>CSH2</th>\n",
+       "      <th>limestone</th>\n",
+       "      <th>silica_fume</th>\n",
+       "      <th>GGBFS</th>\n",
+       "      <th>fly_ash</th>\n",
+       "      <th>calcined_clay</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>56.255605</td>\n",
+       "      <td>20.901711</td>\n",
+       "      <td>5.824443</td>\n",
+       "      <td>8.057120</td>\n",
+       "      <td>0.459313</td>\n",
+       "      <td>1</td>\n",
+       "      <td>25</td>\n",
+       "      <td>385</td>\n",
+       "      <td>4</td>\n",
+       "      <td>19.990118</td>\n",
+       "      <td>9.885612</td>\n",
+       "      <td>34.983733</td>\n",
+       "      <td>34.996078</td>\n",
+       "      <td>0.124323</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>72.806729</td>\n",
+       "      <td>21.519854</td>\n",
+       "      <td>6.030188</td>\n",
+       "      <td>0.686560</td>\n",
+       "      <td>0.440096</td>\n",
+       "      <td>1</td>\n",
+       "      <td>25</td>\n",
+       "      <td>385</td>\n",
+       "      <td>4</td>\n",
+       "      <td>1.200620</td>\n",
+       "      <td>0.375151</td>\n",
+       "      <td>34.982629</td>\n",
+       "      <td>33.675934</td>\n",
+       "      <td>0.001352</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>54.054221</td>\n",
+       "      <td>20.440704</td>\n",
+       "      <td>9.153544</td>\n",
+       "      <td>7.508157</td>\n",
+       "      <td>0.458654</td>\n",
+       "      <td>1</td>\n",
+       "      <td>25</td>\n",
+       "      <td>385</td>\n",
+       "      <td>4</td>\n",
+       "      <td>19.998377</td>\n",
+       "      <td>9.981476</td>\n",
+       "      <td>34.981368</td>\n",
+       "      <td>34.987808</td>\n",
+       "      <td>0.010712</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>72.829134</td>\n",
+       "      <td>21.527339</td>\n",
+       "      <td>6.030834</td>\n",
+       "      <td>0.631956</td>\n",
+       "      <td>0.440082</td>\n",
+       "      <td>1</td>\n",
+       "      <td>25</td>\n",
+       "      <td>385</td>\n",
+       "      <td>4</td>\n",
+       "      <td>19.307449</td>\n",
+       "      <td>3.209386</td>\n",
+       "      <td>34.992595</td>\n",
+       "      <td>34.852422</td>\n",
+       "      <td>0.003674</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>72.790711</td>\n",
+       "      <td>19.925062</td>\n",
+       "      <td>6.939147</td>\n",
+       "      <td>1.417903</td>\n",
+       "      <td>0.440091</td>\n",
+       "      <td>1</td>\n",
+       "      <td>25</td>\n",
+       "      <td>385</td>\n",
+       "      <td>4</td>\n",
+       "      <td>19.659537</td>\n",
+       "      <td>7.371652</td>\n",
+       "      <td>34.981722</td>\n",
+       "      <td>34.966679</td>\n",
+       "      <td>0.000234</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>95</th>\n",
+       "      <td>72.850920</td>\n",
+       "      <td>19.815090</td>\n",
+       "      <td>7.759610</td>\n",
+       "      <td>0.134451</td>\n",
+       "      <td>0.459644</td>\n",
+       "      <td>1</td>\n",
+       "      <td>25</td>\n",
+       "      <td>385</td>\n",
+       "      <td>4</td>\n",
+       "      <td>19.976052</td>\n",
+       "      <td>9.975578</td>\n",
+       "      <td>34.972461</td>\n",
+       "      <td>34.999651</td>\n",
+       "      <td>0.000220</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>96</th>\n",
+       "      <td>72.934477</td>\n",
+       "      <td>20.553413</td>\n",
+       "      <td>7.206980</td>\n",
+       "      <td>0.307148</td>\n",
+       "      <td>0.441649</td>\n",
+       "      <td>1</td>\n",
+       "      <td>25</td>\n",
+       "      <td>385</td>\n",
+       "      <td>4</td>\n",
+       "      <td>10.223613</td>\n",
+       "      <td>1.177818</td>\n",
+       "      <td>34.995785</td>\n",
+       "      <td>34.996462</td>\n",
+       "      <td>0.005575</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>97</th>\n",
+       "      <td>72.795015</td>\n",
+       "      <td>21.503092</td>\n",
+       "      <td>6.049069</td>\n",
+       "      <td>0.683024</td>\n",
+       "      <td>0.440103</td>\n",
+       "      <td>1</td>\n",
+       "      <td>25</td>\n",
+       "      <td>385</td>\n",
+       "      <td>4</td>\n",
+       "      <td>8.370071</td>\n",
+       "      <td>0.407813</td>\n",
+       "      <td>34.993617</td>\n",
+       "      <td>34.985313</td>\n",
+       "      <td>0.000084</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>98</th>\n",
+       "      <td>72.936755</td>\n",
+       "      <td>19.520461</td>\n",
+       "      <td>5.670092</td>\n",
+       "      <td>0.108941</td>\n",
+       "      <td>0.459438</td>\n",
+       "      <td>1</td>\n",
+       "      <td>25</td>\n",
+       "      <td>385</td>\n",
+       "      <td>4</td>\n",
+       "      <td>19.989571</td>\n",
+       "      <td>9.976714</td>\n",
+       "      <td>34.992856</td>\n",
+       "      <td>34.990687</td>\n",
+       "      <td>0.000068</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>99</th>\n",
+       "      <td>56.660529</td>\n",
+       "      <td>21.636953</td>\n",
+       "      <td>9.153544</td>\n",
+       "      <td>7.484811</td>\n",
+       "      <td>0.458685</td>\n",
+       "      <td>1</td>\n",
+       "      <td>25</td>\n",
+       "      <td>385</td>\n",
+       "      <td>4</td>\n",
+       "      <td>19.934904</td>\n",
+       "      <td>9.980880</td>\n",
+       "      <td>34.985790</td>\n",
+       "      <td>34.996769</td>\n",
+       "      <td>0.010712</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>100 rows × 14 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          C3S        C2S       C3A      C4AF        wc  RH   T  fineness  \\\n",
+       "0   56.255605  20.901711  5.824443  8.057120  0.459313   1  25       385   \n",
+       "1   72.806729  21.519854  6.030188  0.686560  0.440096   1  25       385   \n",
+       "2   54.054221  20.440704  9.153544  7.508157  0.458654   1  25       385   \n",
+       "3   72.829134  21.527339  6.030834  0.631956  0.440082   1  25       385   \n",
+       "4   72.790711  19.925062  6.939147  1.417903  0.440091   1  25       385   \n",
+       "..        ...        ...       ...       ...       ...  ..  ..       ...   \n",
+       "95  72.850920  19.815090  7.759610  0.134451  0.459644   1  25       385   \n",
+       "96  72.934477  20.553413  7.206980  0.307148  0.441649   1  25       385   \n",
+       "97  72.795015  21.503092  6.049069  0.683024  0.440103   1  25       385   \n",
+       "98  72.936755  19.520461  5.670092  0.108941  0.459438   1  25       385   \n",
+       "99  56.660529  21.636953  9.153544  7.484811  0.458685   1  25       385   \n",
+       "\n",
+       "    CSH2  limestone  silica_fume      GGBFS    fly_ash  calcined_clay  \n",
+       "0      4  19.990118     9.885612  34.983733  34.996078       0.124323  \n",
+       "1      4   1.200620     0.375151  34.982629  33.675934       0.001352  \n",
+       "2      4  19.998377     9.981476  34.981368  34.987808       0.010712  \n",
+       "3      4  19.307449     3.209386  34.992595  34.852422       0.003674  \n",
+       "4      4  19.659537     7.371652  34.981722  34.966679       0.000234  \n",
+       "..   ...        ...          ...        ...        ...            ...  \n",
+       "95     4  19.976052     9.975578  34.972461  34.999651       0.000220  \n",
+       "96     4  10.223613     1.177818  34.995785  34.996462       0.005575  \n",
+       "97     4   8.370071     0.407813  34.993617  34.985313       0.000084  \n",
+       "98     4  19.989571     9.976714  34.992856  34.990687       0.000068  \n",
+       "99     4  19.934904     9.980880  34.985790  34.996769       0.010712  \n",
+       "\n",
+       "[100 rows x 14 columns]"
+      ]
+     },
+     "execution_count": 97,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "NDS['RH'] = 1\n",
+    "NDS['T'] = 25\n",
+    "NDS['fineness'] = 385\n",
+    "NDS['CSH2'] = 4\n",
+    "NDS['wc']=NDS['wc_ratio']\n",
+    "NDS = NDS[new_order]\n",
+    "NDS"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 123,
+   "id": "01b473de-0be9-41e8-aae4-effaf78a87d0",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0      95.038880\n",
+       "1     105.043331\n",
+       "2      95.156626\n",
+       "3     105.019264\n",
+       "4     105.072822\n",
+       "         ...    \n",
+       "95    104.560071\n",
+       "96    105.002018\n",
+       "97    105.030200\n",
+       "98    102.236248\n",
+       "99     98.935836\n",
+       "Length: 100, dtype: float64"
+      ]
+     },
+     "execution_count": 123,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "NDS['C3S']+NDS['C2S']+NDS['C3A']+NDS['C4AF']+NDS['CSH2']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 125,
+   "id": "7f7095ab-fab7-462d-ad1f-e0712eedd49e",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0     99.979863\n",
+       "1     70.235686\n",
+       "2     99.959741\n",
+       "3     92.365527\n",
+       "4     96.979826\n",
+       "        ...    \n",
+       "95    99.923961\n",
+       "96    81.399253\n",
+       "97    78.756897\n",
+       "98    99.949896\n",
+       "99    99.909055\n",
+       "Length: 100, dtype: float64"
+      ]
+     },
+     "execution_count": 125,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "NDS['limestone']+NDS['silica_fume']+NDS['GGBFS']+NDS['fly_ash']+NDS['calcined_clay']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 124,
+   "id": "c26c23b0-75fe-4895-983a-9f1b95d51913",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Index(['aq_gen', 'gas_gen', 'HCA-Friedels-ss', 'C3(AF)S0_84H', 'CSHQ',\n",
+      "       'ettringite-AlFe', 'monosulph-AlFe', 'straetlingite', 'SO4_OH_AFm',\n",
+      "       'SO4_CO3_AFt',\n",
+      "       ...\n",
+      "       'Natrolite', 'ZeoliteX', 'ZeoliteY', 'Na-oxide', 'Sulphur', 'Quartz',\n",
+      "       'Silica-amorph', 'Strontianite', 'Celestite', 'Rutile'],\n",
+      "      dtype='object', length=110)\n"
+     ]
+    }
+   ],
+   "source": [
+    "#Test, how accurate the model is:\n",
+    "from util.create_data import complete_hydration_from_data\n",
+    "\n",
+    "output_materials = [\"Alite\", \"Belite\", \"Aluminate\", \"Ferrite\", \"Portlandite\", \"C3AH6\", \"C4AsH12\", \"aq_gen\",  \"ettringite-AlFe\", \"hemihydrate\", \"Anhydrite\",\"arcanite\",\"thenardite\",\"CSHQ\", \"C3AH6\",\"monosulph-AlFe\" ]\n",
+    "\n",
+    "    \n",
+    "to_drop, train_output,pd_vol_frac = complete_hydration_from_data(NDS, output_materials, False)\n",
+    "pd_df = pd.DataFrame(pd_vol_frac).T\n",
+    "print(pd_df.keys())\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 126,
+   "id": "b189104e-b7e6-48ca-a1f5-959900a0c3c9",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>CSHQ</th>\n",
+       "      <th>Belite</th>\n",
+       "      <th>Portlandite</th>\n",
+       "      <th>Alite</th>\n",
+       "      <th>Aluminate</th>\n",
+       "      <th>Ferrite</th>\n",
+       "      <th>Portlandite</th>\n",
+       "      <th>C3AH6</th>\n",
+       "      <th>C4AsH12</th>\n",
+       "      <th>aq_gen</th>\n",
+       "      <th>OH-hydrotalcite</th>\n",
+       "      <th>other_material</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.195823</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.177452</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.430336</td>\n",
+       "      <td>0.144871</td>\n",
+       "      <td>0.051518</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.235417</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.168491</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.425344</td>\n",
+       "      <td>0.155901</td>\n",
+       "      <td>0.014847</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.192076</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.184963</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.424663</td>\n",
+       "      <td>0.145251</td>\n",
+       "      <td>0.053048</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.218233</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.173437</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.442278</td>\n",
+       "      <td>0.146767</td>\n",
+       "      <td>0.019286</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.208259</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.173684</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.438908</td>\n",
+       "      <td>0.144610</td>\n",
+       "      <td>0.034539</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>95</th>\n",
+       "      <td>0.027383</td>\n",
+       "      <td>0.187491</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.176982</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.438969</td>\n",
+       "      <td>0.139937</td>\n",
+       "      <td>0.029237</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>96</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.224201</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.176649</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.428591</td>\n",
+       "      <td>0.151190</td>\n",
+       "      <td>0.019369</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>97</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.228276</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.172702</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.428889</td>\n",
+       "      <td>0.152616</td>\n",
+       "      <td>0.017517</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>98</th>\n",
+       "      <td>0.022347</td>\n",
+       "      <td>0.194892</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.171551</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.442427</td>\n",
+       "      <td>0.140764</td>\n",
+       "      <td>0.028020</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>99</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.189280</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.180842</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.428789</td>\n",
+       "      <td>0.143393</td>\n",
+       "      <td>0.057697</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>100 rows × 12 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        CSHQ    Belite  Portlandite  Alite  Aluminate  Ferrite  Portlandite  \\\n",
+       "0   0.000000  0.195823          0.0    0.0        0.0      0.0          0.0   \n",
+       "1   0.000000  0.235417          0.0    0.0        0.0      0.0          0.0   \n",
+       "2   0.000000  0.192076          0.0    0.0        0.0      0.0          0.0   \n",
+       "3   0.000000  0.218233          0.0    0.0        0.0      0.0          0.0   \n",
+       "4   0.000000  0.208259          0.0    0.0        0.0      0.0          0.0   \n",
+       "..       ...       ...          ...    ...        ...      ...          ...   \n",
+       "95  0.027383  0.187491          0.0    0.0        0.0      0.0          0.0   \n",
+       "96  0.000000  0.224201          0.0    0.0        0.0      0.0          0.0   \n",
+       "97  0.000000  0.228276          0.0    0.0        0.0      0.0          0.0   \n",
+       "98  0.022347  0.194892          0.0    0.0        0.0      0.0          0.0   \n",
+       "99  0.000000  0.189280          0.0    0.0        0.0      0.0          0.0   \n",
+       "\n",
+       "       C3AH6  C4AsH12    aq_gen  OH-hydrotalcite  other_material  \n",
+       "0   0.177452      0.0  0.430336         0.144871        0.051518  \n",
+       "1   0.168491      0.0  0.425344         0.155901        0.014847  \n",
+       "2   0.184963      0.0  0.424663         0.145251        0.053048  \n",
+       "3   0.173437      0.0  0.442278         0.146767        0.019286  \n",
+       "4   0.173684      0.0  0.438908         0.144610        0.034539  \n",
+       "..       ...      ...       ...              ...             ...  \n",
+       "95  0.176982      0.0  0.438969         0.139937        0.029237  \n",
+       "96  0.176649      0.0  0.428591         0.151190        0.019369  \n",
+       "97  0.172702      0.0  0.428889         0.152616        0.017517  \n",
+       "98  0.171551      0.0  0.442427         0.140764        0.028020  \n",
+       "99  0.180842      0.0  0.428789         0.143393        0.057697  \n",
+       "\n",
+       "[100 rows x 12 columns]"
+      ]
+     },
+     "execution_count": 126,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "columns_to_keep = ['CSHQ', 'Belite', 'Portlandite', 'Alite', 'Aluminate', 'Ferrite', 'Portlandite', 'C3AH6', 'C4AsH12', 'aq_gen', 'OH-hydrotalcite']\n",
+    "other_columns = pd_df.columns.difference(columns_to_keep)\n",
+    "pd_df['other_material'] = pd_df[other_columns].sum(axis=1)\n",
+    "pd_df = pd_df[columns_to_keep + ['other_material']]\n",
+    "pd_df\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 100,
+   "id": "433e6be6-4303-4976-9ec7-e98a0c8b8967",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>K</th>\n",
+       "      <th>G</th>\n",
+       "      <th>E</th>\n",
+       "      <th>P</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>55.326494</td>\n",
+       "      <td>19.992205</td>\n",
+       "      <td>53.529048</td>\n",
+       "      <td>0.338748</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>59.814338</td>\n",
+       "      <td>21.760201</td>\n",
+       "      <td>58.220482</td>\n",
+       "      <td>0.337774</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>54.843332</td>\n",
+       "      <td>19.833487</td>\n",
+       "      <td>53.099510</td>\n",
+       "      <td>0.338633</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>58.001381</td>\n",
+       "      <td>20.972494</td>\n",
+       "      <td>56.149818</td>\n",
+       "      <td>0.338654</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>56.843075</td>\n",
+       "      <td>20.536603</td>\n",
+       "      <td>54.987714</td>\n",
+       "      <td>0.338773</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>96</th>\n",
+       "      <td>58.606391</td>\n",
+       "      <td>21.268438</td>\n",
+       "      <td>56.919852</td>\n",
+       "      <td>0.338130</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>97</th>\n",
+       "      <td>59.056514</td>\n",
+       "      <td>21.444621</td>\n",
+       "      <td>57.387655</td>\n",
+       "      <td>0.338043</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>98</th>\n",
+       "      <td>55.268735</td>\n",
+       "      <td>19.917689</td>\n",
+       "      <td>53.344935</td>\n",
+       "      <td>0.339135</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>99</th>\n",
+       "      <td>54.516951</td>\n",
+       "      <td>19.692341</td>\n",
+       "      <td>52.728274</td>\n",
+       "      <td>0.338802</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>100</th>\n",
+       "      <td>18.934932</td>\n",
+       "      <td>8.107512</td>\n",
+       "      <td>21.284665</td>\n",
+       "      <td>0.312651</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>101 rows × 4 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "             K          G          E         P\n",
+       "0    55.326494  19.992205  53.529048  0.338748\n",
+       "1    59.814338  21.760201  58.220482  0.337774\n",
+       "2    54.843332  19.833487  53.099510  0.338633\n",
+       "3    58.001381  20.972494  56.149818  0.338654\n",
+       "4    56.843075  20.536603  54.987714  0.338773\n",
+       "..         ...        ...        ...       ...\n",
+       "96   58.606391  21.268438  56.919852  0.338130\n",
+       "97   59.056514  21.444621  57.387655  0.338043\n",
+       "98   55.268735  19.917689  53.344935  0.339135\n",
+       "99   54.516951  19.692341  52.728274  0.338802\n",
+       "100  18.934932   8.107512  21.284665  0.312651\n",
+       "\n",
+       "[101 rows x 4 columns]"
+      ]
+     },
+     "execution_count": 100,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from prop.elastic_moduli import data_elastic_moduli\n",
+    "elastic_moduli = data_elastic_moduli(pd_df.transpose())\n",
+    "elastic_moduli"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 107,
+   "id": "9e291b5a-2721-401e-83a9-1fb2f8df5630",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>K</th>\n",
+       "      <th>G</th>\n",
+       "      <th>E</th>\n",
+       "      <th>P</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>55.326494</td>\n",
+       "      <td>19.992205</td>\n",
+       "      <td>53.529048</td>\n",
+       "      <td>0.338748</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>59.814338</td>\n",
+       "      <td>21.760201</td>\n",
+       "      <td>58.220482</td>\n",
+       "      <td>0.337774</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>54.843332</td>\n",
+       "      <td>19.833487</td>\n",
+       "      <td>53.099510</td>\n",
+       "      <td>0.338633</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>58.001381</td>\n",
+       "      <td>20.972494</td>\n",
+       "      <td>56.149818</td>\n",
+       "      <td>0.338654</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>56.843075</td>\n",
+       "      <td>20.536603</td>\n",
+       "      <td>54.987714</td>\n",
+       "      <td>0.338773</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>95</th>\n",
+       "      <td>54.340920</td>\n",
+       "      <td>19.581663</td>\n",
+       "      <td>52.445446</td>\n",
+       "      <td>0.339147</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>96</th>\n",
+       "      <td>58.606391</td>\n",
+       "      <td>21.268438</td>\n",
+       "      <td>56.919852</td>\n",
+       "      <td>0.338130</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>97</th>\n",
+       "      <td>59.056514</td>\n",
+       "      <td>21.444621</td>\n",
+       "      <td>57.387655</td>\n",
+       "      <td>0.338043</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>98</th>\n",
+       "      <td>55.268735</td>\n",
+       "      <td>19.917689</td>\n",
+       "      <td>53.344935</td>\n",
+       "      <td>0.339135</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>99</th>\n",
+       "      <td>54.516951</td>\n",
+       "      <td>19.692341</td>\n",
+       "      <td>52.728274</td>\n",
+       "      <td>0.338802</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>100 rows × 4 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            K          G          E         P\n",
+       "0   55.326494  19.992205  53.529048  0.338748\n",
+       "1   59.814338  21.760201  58.220482  0.337774\n",
+       "2   54.843332  19.833487  53.099510  0.338633\n",
+       "3   58.001381  20.972494  56.149818  0.338654\n",
+       "4   56.843075  20.536603  54.987714  0.338773\n",
+       "..        ...        ...        ...       ...\n",
+       "95  54.340920  19.581663  52.445446  0.339147\n",
+       "96  58.606391  21.268438  56.919852  0.338130\n",
+       "97  59.056514  21.444621  57.387655  0.338043\n",
+       "98  55.268735  19.917689  53.344935  0.339135\n",
+       "99  54.516951  19.692341  52.728274  0.338802\n",
+       "\n",
+       "[100 rows x 4 columns]"
+      ]
+     },
+     "execution_count": 107,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "elastic_moduli.iloc[:-1,:]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 102,
+   "id": "6a5c90bb-2491-4676-ab19-9173d50a725e",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>K</th>\n",
+       "      <th>G</th>\n",
+       "      <th>E</th>\n",
+       "      <th>P</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>50.427559</td>\n",
+       "      <td>18.561268</td>\n",
+       "      <td>49.598442</td>\n",
+       "      <td>0.336074</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>66.723564</td>\n",
+       "      <td>24.343615</td>\n",
+       "      <td>65.112259</td>\n",
+       "      <td>0.337358</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>51.598602</td>\n",
+       "      <td>18.949120</td>\n",
+       "      <td>50.647423</td>\n",
+       "      <td>0.336406</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>62.830063</td>\n",
+       "      <td>22.938843</td>\n",
+       "      <td>61.350330</td>\n",
+       "      <td>0.337259</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>61.956963</td>\n",
+       "      <td>22.628551</td>\n",
+       "      <td>60.517990</td>\n",
+       "      <td>0.337204</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>95</th>\n",
+       "      <td>59.237152</td>\n",
+       "      <td>21.669220</td>\n",
+       "      <td>57.942451</td>\n",
+       "      <td>0.336976</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>96</th>\n",
+       "      <td>64.544350</td>\n",
+       "      <td>23.555502</td>\n",
+       "      <td>63.002266</td>\n",
+       "      <td>0.337315</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>97</th>\n",
+       "      <td>65.236519</td>\n",
+       "      <td>23.805326</td>\n",
+       "      <td>63.671261</td>\n",
+       "      <td>0.337332</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>98</th>\n",
+       "      <td>56.707394</td>\n",
+       "      <td>20.789633</td>\n",
+       "      <td>55.577137</td>\n",
+       "      <td>0.336655</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>99</th>\n",
+       "      <td>54.415916</td>\n",
+       "      <td>19.945673</td>\n",
+       "      <td>53.322102</td>\n",
+       "      <td>0.336683</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>100 rows × 4 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            K          G          E         P\n",
+       "0   50.427559  18.561268  49.598442  0.336074\n",
+       "1   66.723564  24.343615  65.112259  0.337358\n",
+       "2   51.598602  18.949120  50.647423  0.336406\n",
+       "3   62.830063  22.938843  61.350330  0.337259\n",
+       "4   61.956963  22.628551  60.517990  0.337204\n",
+       "..        ...        ...        ...       ...\n",
+       "95  59.237152  21.669220  57.942451  0.336976\n",
+       "96  64.544350  23.555502  63.002266  0.337315\n",
+       "97  65.236519  23.805326  63.671261  0.337332\n",
+       "98  56.707394  20.789633  55.577137  0.336655\n",
+       "99  54.415916  19.945673  53.322102  0.336683\n",
+       "\n",
+       "[100 rows x 4 columns]"
+      ]
+     },
+     "execution_count": 102,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "EL12 = pd.DataFrame(EL12, columns = elastic_moduli.keys())\n",
+    "EL12"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 111,
+   "id": "1aebf952-c9fa-44a5-bb64-46b2c6e4aee1",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
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+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
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+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
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+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>K</th>\n",
+       "      <th>G</th>\n",
+       "      <th>E</th>\n",
+       "      <th>P</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>93</th>\n",
+       "      <td>0.001511</td>\n",
+       "      <td>0.013202</td>\n",
+       "      <td>0.011600</td>\n",
+       "      <td>0.006247</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>99</th>\n",
+       "      <td>0.001853</td>\n",
+       "      <td>0.012865</td>\n",
+       "      <td>0.011262</td>\n",
+       "      <td>0.006252</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>0.002593</td>\n",
+       "      <td>0.017337</td>\n",
+       "      <td>0.015732</td>\n",
+       "      <td>0.006234</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>91</th>\n",
+       "      <td>0.006387</td>\n",
+       "      <td>0.024200</td>\n",
+       "      <td>0.022260</td>\n",
+       "      <td>0.007480</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>0.007295</td>\n",
+       "      <td>0.007338</td>\n",
+       "      <td>0.005745</td>\n",
+       "      <td>0.006251</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>64</th>\n",
+       "      <td>0.115308</td>\n",
+       "      <td>0.118674</td>\n",
+       "      <td>0.118309</td>\n",
+       "      <td>0.001292</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0.115511</td>\n",
+       "      <td>0.118722</td>\n",
+       "      <td>0.118374</td>\n",
+       "      <td>0.001232</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>0.115980</td>\n",
+       "      <td>0.119253</td>\n",
+       "      <td>0.118898</td>\n",
+       "      <td>0.001255</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>81</th>\n",
+       "      <td>0.116503</td>\n",
+       "      <td>0.120165</td>\n",
+       "      <td>0.119768</td>\n",
+       "      <td>0.001404</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>71</th>\n",
+       "      <td>0.116778</td>\n",
+       "      <td>0.120363</td>\n",
+       "      <td>0.119974</td>\n",
+       "      <td>0.001373</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>100 rows × 4 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           K         G         E         P\n",
+       "93  0.001511  0.013202  0.011600  0.006247\n",
+       "99  0.001853  0.012865  0.011262  0.006252\n",
+       "7   0.002593  0.017337  0.015732  0.006234\n",
+       "91  0.006387  0.024200  0.022260  0.007480\n",
+       "21  0.007295  0.007338  0.005745  0.006251\n",
+       "..       ...       ...       ...       ...\n",
+       "64  0.115308  0.118674  0.118309  0.001292\n",
+       "1   0.115511  0.118722  0.118374  0.001232\n",
+       "28  0.115980  0.119253  0.118898  0.001255\n",
+       "81  0.116503  0.120165  0.119768  0.001404\n",
+       "71  0.116778  0.120363  0.119974  0.001373\n",
+       "\n",
+       "[100 rows x 4 columns]"
+      ]
+     },
+     "execution_count": 111,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "(np.abs((elastic_moduli.iloc[:-1,:] -EL12))/elastic_moduli.iloc[:-1,:]).sort_values('K')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 114,
+   "id": "07d5596d-084b-4ad1-95b0-bc01345b7d35",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "K    66.613403\n",
+       "G    24.300785\n",
+       "E    64.998474\n",
+       "P     0.337374\n",
+       "Name: 71, dtype: float32"
+      ]
+     },
+     "execution_count": 114,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "EL12.loc[71]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 115,
+   "id": "f46b9390-f59b-4f14-8ccb-517951567e83",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "K    59.647830\n",
+       "G    21.690106\n",
+       "E    58.035693\n",
+       "P     0.337838\n",
+       "Name: 71, dtype: float64"
+      ]
+     },
+     "execution_count": 115,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "elastic_moduli.loc[71]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 116,
+   "id": "3b2236d2-daac-44bc-aa63-354a02ddddcd",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "C3S               72.799948\n",
+       "C2S               21.607733\n",
+       "C3A                5.960813\n",
+       "C4AF               0.681848\n",
+       "wc                 0.440189\n",
+       "RH                 1.000000\n",
+       "T                 25.000000\n",
+       "fineness         385.000000\n",
+       "CSH2               4.000000\n",
+       "limestone          2.261696\n",
+       "silica_fume        0.111724\n",
+       "GGBFS             34.993222\n",
+       "fly_ash           34.994159\n",
+       "calcined_clay      0.106321\n",
+       "Name: 71, dtype: float64"
+      ]
+     },
+     "execution_count": 116,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "NDS.loc[71]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c72091a5-fdc9-4334-b4c7-878449b48d10",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5ea87e5a-13fa-4f51-b22c-4040877ac19f",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.13"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/machine_learning_NN.ipynb b/machine_learning_NN.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..21dc886f1e631df6ae3c2009070a9a48fc53f3ea
--- /dev/null
+++ b/machine_learning_NN.ipynb
@@ -0,0 +1,1302 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "214f8ef2-38cb-4fc4-92ca-305b1a6248a6",
+   "metadata": {},
+   "source": [
+    "# Surrogate models training and validation"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "25670a8a-4fc0-4127-a715-c0c53775a19d",
+   "metadata": {},
+   "source": [
+    "## Importation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "id": "0db73fe9-bfd1-4434-b32d-e933ca648b0e",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "#from ml.bayesian_opt import BO\n",
+    "import tensorflow as tf\n",
+    "from tensorflow.keras.models import load_model\n",
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "from sklearn.gaussian_process import GaussianProcessRegressor\n",
+    "from sklearn.gaussian_process.kernels import *\n",
+    "from sklearn.model_selection import train_test_split\n",
+    "from ml.neural_net import NN, NN_co2\n",
+    "from ml.neural_net import hyp_param_opt\n",
+    "from ml.validate import evaluate_predictions\n",
+    "from ml.validate import plot_true_vs_predicted, plot_model1_vs_model2, plot_loss\n",
+    "from ml.opt import opt, opt_gp, opt_ismo\n",
+    "from util.time import measure_and_plot_time\n",
+    "from util.normalization import minmax_normalize\n",
+    "\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "import os\n",
+    "import warnings\n",
+    "warnings.filterwarnings(\"ignore\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f74d54ac-e7ca-4e96-93a2-aaa26d184639",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2023-12-28T10:44:53.260958Z",
+     "iopub.status.busy": "2023-12-28T10:44:53.259746Z",
+     "iopub.status.idle": "2023-12-28T10:44:53.266946Z",
+     "shell.execute_reply": "2023-12-28T10:44:53.265697Z",
+     "shell.execute_reply.started": "2023-12-28T10:44:53.260918Z"
+    },
+    "tags": []
+   },
+   "source": [
+    "# Model for Elastic Modulus from Recipe"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 82,
+   "id": "24de8c9f-c973-4065-9876-24a181583092",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>K</th>\n",
+       "      <th>G</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>18.617533</td>\n",
+       "      <td>8.436368</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>59.133080</td>\n",
+       "      <td>21.555046</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>21.063708</td>\n",
+       "      <td>8.884028</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>22.942406</td>\n",
+       "      <td>9.903171</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>22.115643</td>\n",
+       "      <td>9.530224</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2379</th>\n",
+       "      <td>50.366058</td>\n",
+       "      <td>18.567644</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2380</th>\n",
+       "      <td>17.446178</td>\n",
+       "      <td>8.364303</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2381</th>\n",
+       "      <td>63.250487</td>\n",
+       "      <td>23.284372</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2382</th>\n",
+       "      <td>16.140162</td>\n",
+       "      <td>7.866115</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2383</th>\n",
+       "      <td>19.057862</td>\n",
+       "      <td>8.282863</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>2384 rows × 2 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "              K          G\n",
+       "0     18.617533   8.436368\n",
+       "1     59.133080  21.555046\n",
+       "2     21.063708   8.884028\n",
+       "3     22.942406   9.903171\n",
+       "4     22.115643   9.530224\n",
+       "...         ...        ...\n",
+       "2379  50.366058  18.567644\n",
+       "2380  17.446178   8.364303\n",
+       "2381  63.250487  23.284372\n",
+       "2382  16.140162   7.866115\n",
+       "2383  19.057862   8.282863\n",
+       "\n",
+       "[2384 rows x 2 columns]"
+      ]
+     },
+     "execution_count": 82,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "########################################################################################\n",
+    "#\n",
+    "#                   LOAD DATA\n",
+    "#\n",
+    "########################################################################################\n",
+    "########################################################################################\n",
+    "#\n",
+    "#                   LOAD DATA\n",
+    "#\n",
+    "########################################################################################\n",
+    "#importation of data for NN\n",
+    "file_path = '/mnt/disk1/projects/Cement/02-Software_and_Models/Models/InputData/'\n",
+    "model_path = '/mnt/disk1/projects/Cement/02-Software_and_Models/Models/Output/Models/'\n",
+    "name = '2500'\n",
+    "X = pd.read_csv(file_path+ 'recipe_data_LHS_'+name+'_new.csv',  index_col=[0])\n",
+    "y = pd.read_csv(file_path+ 'elastic_moduli_'+name+'.csv')\n",
+    "\n",
+    "y = y[['K','G']]\n",
+    "y"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 83,
+   "id": "d6ea0475-fa4a-4fd3-9af5-62248a805ab6",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Index(['C3S', 'C2S', 'C3A', 'C4AF', 'CSH2', 'wc', 'RH', 'T', 'fineness',\n",
+       "       'limestone', 'silica_fume', 'GGBFS', 'fly_ash', 'calcined_clay',\n",
+       "       'wc_ratio'],\n",
+       "      dtype='object')"
+      ]
+     },
+     "execution_count": 83,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "X.keys()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 84,
+   "id": "915afe79-3fcb-4608-aa1d-92ba7574f34a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "X = X[['C3S', 'C2S', 'C3A', 'C4AF', 'CSH2',\n",
+    "       'limestone', 'silica_fume', 'GGBFS', 'fly_ash', 'calcined_clay',\n",
+    "       'wc_ratio']]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 85,
+   "id": "b46151fc-e6d4-4824-b574-88c95881f440",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Gaussian process\n",
+    "#train_input, test_input, train_elastic, test_elastic = train_test_split(X, y, test_size=0.2, random_state=42)\n",
+    "train_input = X\n",
+    "train_elastic = y\n",
+    "\n",
+    "\n",
+    "\n",
+    "#train_input_gp, test_input_gp, train_elastic_gp, test_elastic_gp = train_test_split(X, y, test_size=0.2, random_state=42)\n",
+    "# suppress low values of aq_gen for a nice relative error\n",
+    "#test_input_gp = test_input_gp[test_output_gp['aq_gen'] > 1e-4]\n",
+    "#test_output_gp = test_output_gp[test_output_gp['aq_gen'] > 1e-4]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 86,
+   "id": "ae6e0930-de84-4b25-b5ad-44aa3ecc759f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#test_input.to_csv(file_path+'/test_data_recipe_189.csv')\n",
+    "#test_elastic.to_csv(file_path+'/test_data_elastic_189.csv')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 87,
+   "id": "d0a5383e-c9e3-47bd-b5c7-7fd527a46fd5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "test_input = pd.read_csv(file_path+'/test_data_recipe_189.csv')\n",
+    "test_elastic= pd.read_csv(file_path+'/test_data_elastic_189.csv')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 88,
+   "id": "efa45578-2008-477c-b8ff-c7493c091c96",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "train_input = train_input.reset_index(drop = True)\n",
+    "train_elastic = train_elastic.reset_index(drop = True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 89,
+   "id": "8cf4cb43-8cbb-4a9e-896a-ffb969ce254b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "test_input = test_input.drop(['Unnamed: 0'], axis = 1)\n",
+    "test_elastic = test_elastic.drop(['Unnamed: 0'], axis = 1)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 90,
+   "id": "a979dc34-d2ed-4d1f-95eb-63666d77de0e",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Constructing the network\n",
+      "Model: \"sequential_3\"\n",
+      "_________________________________________________________________\n",
+      " Layer (type)                Output Shape              Param #   \n",
+      "=================================================================\n",
+      " dense_33 (Dense)            (None, 50)                600       \n",
+      "                                                                 \n",
+      " dense_34 (Dense)            (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_35 (Dense)            (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_36 (Dense)            (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_37 (Dense)            (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_38 (Dense)            (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_39 (Dense)            (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_40 (Dense)            (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_41 (Dense)            (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_42 (Dense)            (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_43 (Dense)            (None, 2)                 102       \n",
+      "                                                                 \n",
+      "=================================================================\n",
+      "Total params: 23652 (92.39 KB)\n",
+      "Trainable params: 23652 (92.39 KB)\n",
+      "Non-trainable params: 0 (0.00 Byte)\n",
+      "_________________________________________________________________\n",
+      "\n",
+      "\n",
+      "start training the network\n",
+      "6/6 [==============================] - 0s 2ms/step - loss: 2.6814 - mean_squared_error: 2.7080\n",
+      "Loss on test set  2.681401491165161 accuracy on test_set  2.708049774169922\n"
+     ]
+    }
+   ],
+   "source": [
+    "########################################################################################\n",
+    "#\n",
+    "#                    NEURAL NETWORK\n",
+    "#\n",
+    "########################################################################################\n",
+    "\n",
+    "# train the neural network\n",
+    "elasticity_NN, elasticity_history = NN(train_input, train_elastic, test_input, test_elastic)\n",
+    "elasticity_NN.save(model_path+'elasticity_NN_1000.h5')\n",
+    "# load the already trained neural network\n",
+    "#model_path = 'model/elasticity_2^15.h5'\n",
+    "#elasticity_NN = load_model(model_path, compile = False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 91,
+   "id": "dde947a8-d6ce-42c5-bca3-ee6480d381f0",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "   RelativeError  MeanSquaredError  CoefficientOfDetermination\n",
+      "0       0.047788          4.822645                    0.971818\n",
+      "1       0.040914          0.540158                    0.969412\n"
+     ]
+    }
+   ],
+   "source": [
+    "\n",
+    "########################################################################################\n",
+    "#\n",
+    "#                    Validation of the neural net\n",
+    "#\n",
+    "########################################################################################\n",
+    "# Print the loss per epoch\n",
+    "#plot_loss(hydration_history, 'Hydration', train_input.shape[0])\n",
+    "\n",
+    "# Evaluation of performance of the network\n",
+    "predicted_values = elasticity_NN(test_input.to_numpy()).numpy()\n",
+    "model_perf = evaluate_predictions(test_elastic, predicted_values)\n",
+    "model_perf.to_csv(model_path +'model_perf/elasticity_NN_'+str(name)+'.csv')\n",
+    "print(model_perf)\n",
+    "# Plot the true vs predicted plot\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 92,
+   "id": "6ef0d924-1afa-4200-b40b-944520aa18b4",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x1000 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "predicted_values = pd.DataFrame(predicted_values, columns = ['K','G'])\n",
+    "# Create a figure with two subplots\n",
+    "fig, axs = plt.subplots(1, 2, figsize=(12, 10))  # 1 row, 2 columns, and optional figure size\n",
+    "\n",
+    "# First subplot for Bulk modulus\n",
+    "axs[0].plot(test_elastic['K'], predicted_values['K'], '*', label='Predicted vs. True')\n",
+    "axs[0].plot(test_elastic['K'], test_elastic['K'], label='Ideal line')  # Ideal line where predicted = true\n",
+    "axs[0].set_xlabel('K true')\n",
+    "axs[0].set_ylabel('K predicted')\n",
+    "axs[0].set_title('Bulk modulus of cement paste')\n",
+    "axs[0].legend()\n",
+    "axs[0].set_aspect('equal') \n",
+    "# Second subplot for Shear modulus\n",
+    "axs[1].plot(test_elastic['G'], predicted_values['G'], '*', label='Predicted vs. True')\n",
+    "axs[1].plot(test_elastic['G'], test_elastic['G'], label='Ideal line')  # Ideal line where predicted = true\n",
+    "axs[1].set_xlabel('G true')\n",
+    "axs[1].set_ylabel('G predicted')\n",
+    "axs[1].set_title('Shear modulus of cement paste')\n",
+    "axs[1].legend()\n",
+    "axs[1].set_aspect('equal')  # Equal scaling\n",
+    "\n",
+    "# Adjust layout\n",
+    "#plt.tight_layout()\n",
+    "\n",
+    "# Show plot\n",
+    "plt.savefig(model_path +'model_perf/elasticity_NN_'+str(name)+'.png')\n",
+    "plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 93,
+   "id": "ea30995e-96b0-44c7-a30f-803b96498f97",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "=====================================================\n",
+      "The score for the Gaussian Process for hydration is:  1.0\n",
+      "The mean square error on the test set is:  25.693684091211225\n"
+     ]
+    }
+   ],
+   "source": [
+    "########################################################################################\n",
+    "#\n",
+    "#                    GAUSSIAN PROCESS\n",
+    "#\n",
+    "########################################################################################\n",
+    "kernel = 1**2 * Matern(length_scale=1, nu=1.5)\n",
+    "\n",
+    "gpg = GaussianProcessRegressor(kernel).fit(train_input, train_elastic)\n",
+    "print('=====================================================')\n",
+    "print('The score for the Gaussian Process for hydration is: ', gpg.score(train_input, train_elastic))\n",
+    "print('The mean square error on the test set is: ', np.mean((gpg.predict(test_input)-test_elastic)**2))\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 94,
+   "id": "76d96c7e-8a32-4592-bd95-20ab152c101b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>RelativeError</th>\n",
+       "      <th>MeanSquaredError</th>\n",
+       "      <th>CoefficientOfDetermination</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0.257039</td>\n",
+       "      <td>47.079226</td>\n",
+       "      <td>0.72488</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0.172065</td>\n",
+       "      <td>4.308142</td>\n",
+       "      <td>0.75604</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   RelativeError  MeanSquaredError  CoefficientOfDetermination\n",
+       "0       0.257039         47.079226                     0.72488\n",
+       "1       0.172065          4.308142                     0.75604"
+      ]
+     },
+     "execution_count": 94,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "########################################################################################\n",
+    "#\n",
+    "#                    Validation of the GP\n",
+    "#\n",
+    "########################################################################################\n",
+    "#Evaluation of the GP\n",
+    "predicted_values_gp = gpg.predict(test_input)\n",
+    "model_perf_gp = evaluate_predictions(test_elastic, predicted_values_gp)\n",
+    "model_perf.to_csv(model_path +'model_perf/elasticity_GP_'+str(name)+'.csv')\n",
+    "\n",
+    "model_perf_gp"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 95,
+   "id": "15a8310b-38dc-4e95-bf68-13753665bda9",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x1000 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "predicted_values_gp = pd.DataFrame(predicted_values_gp, columns = ['K','G'])\n",
+    "\n",
+    "# Create a figure with two subplots\n",
+    "fig, axs = plt.subplots(1, 2, figsize=(12, 10))  # 1 row, 2 columns, and optional figure size\n",
+    "\n",
+    "# First subplot for Bulk modulus\n",
+    "axs[0].plot(test_elastic['K'], predicted_values_gp['K'], '*', label='Predicted vs. True')\n",
+    "axs[0].plot(test_elastic['K'], test_elastic['K'], label='Ideal line')  # Ideal line where predicted = true\n",
+    "axs[0].set_xlabel('K true')\n",
+    "axs[0].set_ylabel('K predicted')\n",
+    "axs[0].set_title('Bulk modulus of cement paste')\n",
+    "axs[0].legend()\n",
+    "axs[0].set_aspect('equal') \n",
+    "# Second subplot for Shear modulus\n",
+    "axs[1].plot(test_elastic['G'], predicted_values_gp['G'], '*', label='Predicted vs. True')\n",
+    "axs[1].plot(test_elastic['G'], test_elastic['G'], label='Ideal line')  # Ideal line where predicted = true\n",
+    "axs[1].set_xlabel('G true')\n",
+    "axs[1].set_ylabel('G predicted')\n",
+    "axs[1].set_title('Shear modulus of cement paste')\n",
+    "axs[1].legend()\n",
+    "axs[1].set_aspect('equal')  # Equal scaling\n",
+    "\n",
+    "# Adjust layout\n",
+    "#plt.tight_layout()\n",
+    "\n",
+    "plt.savefig(model_path +'model_perf/elasticity_GP_'+str(name)+'.png')\n",
+    "\n",
+    "# Show plot\n",
+    "plt.show()\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 97,
+   "id": "50ccca67-c840-4182-a459-50972dd6d8ee",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Train all neural networks:\n",
+    "\n",
+    "def neural_net_training(nr_samples):\n",
+    "    name = str(nr_samples)\n",
+    "    file_path = '/mnt/disk1/projects/Cement/02-Software_and_Models/Models/InputData/'\n",
+    "    model_path = '/mnt/disk1/projects/Cement/02-Software_and_Models/Models/Output/Models/'\n",
+    "\n",
+    "    X = pd.read_csv(file_path+ 'recipe_data_LHS_'+name+'_new.csv',  index_col=[0])\n",
+    "    y = pd.read_csv(file_path+ 'elastic_moduli_'+name+'.csv')\n",
+    "    \n",
+    "    y = y[['K','G']]\n",
+    "    X = X[['C3S', 'C2S', 'C3A', 'C4AF', 'CSH2',\n",
+    "       'limestone', 'silica_fume', 'GGBFS', 'fly_ash', 'calcined_clay',\n",
+    "       'wc_ratio']]\n",
+    "    train_input = X\n",
+    "    train_elastic = y\n",
+    "    test_input = pd.read_csv(file_path+'/test_data_recipe_189.csv')\n",
+    "    test_elastic= pd.read_csv(file_path+'/test_data_elastic_189.csv')\n",
+    "    train_input = train_input.reset_index(drop = True)\n",
+    "    train_elastic = train_elastic.reset_index(drop = True)\n",
+    "\n",
+    "    test_input = test_input.drop(['Unnamed: 0'], axis = 1)\n",
+    "    test_elastic = test_elastic.drop(['Unnamed: 0'], axis = 1)\n",
+    "    elasticity_NN, elasticity_history = NN(train_input, train_elastic, test_input, test_elastic)\n",
+    "    elasticity_NN.save(model_path+'elasticity_NN_'+name+'.h5')\n",
+    "    ########################################################################################\n",
+    "    #\n",
+    "    #                    Validation of the neural net\n",
+    "    #\n",
+    "    ########################################################################################\n",
+    "    # Print the loss per epoch\n",
+    "    #plot_loss(hydration_history, 'Hydration', train_input.shape[0])\n",
+    "    \n",
+    "    # Evaluation of performance of the network\n",
+    "    predicted_values = elasticity_NN(test_input.to_numpy()).numpy()\n",
+    "    model_perf = evaluate_predictions(test_elastic, predicted_values)\n",
+    "    model_perf.to_csv(model_path +'model_perf/elasticity_NN_'+name+'.csv')\n",
+    "    print(model_perf)\n",
+    "    # Plot the true vs predicted plot\n",
+    "    predicted_values = pd.DataFrame(predicted_values, columns = ['K','G'])\n",
+    "    # Create a figure with two subplots\n",
+    "    fig, axs = plt.subplots(1, 2, figsize=(12, 10))  # 1 row, 2 columns, and optional figure size\n",
+    "    \n",
+    "    # First subplot for Bulk modulus\n",
+    "    axs[0].plot(test_elastic['K'], predicted_values['K'], '*', label='Predicted vs. True')\n",
+    "    axs[0].plot(test_elastic['K'], test_elastic['K'], label='Ideal line')  # Ideal line where predicted = true\n",
+    "    axs[0].set_xlabel('K true')\n",
+    "    axs[0].set_ylabel('K predicted')\n",
+    "    axs[0].set_title('Bulk modulus of cement paste')\n",
+    "    axs[0].legend()\n",
+    "    axs[0].set_aspect('equal') \n",
+    "    # Second subplot for Shear modulus\n",
+    "    axs[1].plot(test_elastic['G'], predicted_values['G'], '*', label='Predicted vs. True')\n",
+    "    axs[1].plot(test_elastic['G'], test_elastic['G'], label='Ideal line')  # Ideal line where predicted = true\n",
+    "    axs[1].set_xlabel('G true')\n",
+    "    axs[1].set_ylabel('G predicted')\n",
+    "    axs[1].set_title('Shear modulus of cement paste')\n",
+    "    axs[1].legend()\n",
+    "    axs[1].set_aspect('equal')  # Equal scaling\n",
+    "    \n",
+    "    # Adjust layout\n",
+    "    #plt.tight_layout()\n",
+    "    \n",
+    "    # Show plot\n",
+    "    plt.savefig(model_path +'model_perf/elasticity_NN_'+name+'.png')\n",
+    "    plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 100,
+   "id": "1f78d87f-7458-40c6-bdbb-5a9ba90fa8d8",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Constructing the network\n",
+      "Model: \"sequential_6\"\n",
+      "_________________________________________________________________\n",
+      " Layer (type)                Output Shape              Param #   \n",
+      "=================================================================\n",
+      " dense_66 (Dense)            (None, 50)                600       \n",
+      "                                                                 \n",
+      " dense_67 (Dense)            (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_68 (Dense)            (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_69 (Dense)            (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_70 (Dense)            (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_71 (Dense)            (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_72 (Dense)            (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_73 (Dense)            (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_74 (Dense)            (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_75 (Dense)            (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_76 (Dense)            (None, 2)                 102       \n",
+      "                                                                 \n",
+      "=================================================================\n",
+      "Total params: 23652 (92.39 KB)\n",
+      "Trainable params: 23652 (92.39 KB)\n",
+      "Non-trainable params: 0 (0.00 Byte)\n",
+      "_________________________________________________________________\n",
+      "\n",
+      "\n",
+      "start training the network\n",
+      "6/6 [==============================] - 0s 2ms/step - loss: 0.5982 - mean_squared_error: 0.5954\n",
+      "Loss on test set  0.5982251167297363 accuracy on test_set  0.5954121947288513\n",
+      "   RelativeError  MeanSquaredError  CoefficientOfDetermination\n",
+      "0       0.021978          1.081823                    0.993678\n",
+      "1       0.017879          0.114627                    0.993509\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x1000 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Constructing the network\n",
+      "Model: \"sequential_7\"\n",
+      "_________________________________________________________________\n",
+      " Layer (type)                Output Shape              Param #   \n",
+      "=================================================================\n",
+      " dense_77 (Dense)            (None, 50)                600       \n",
+      "                                                                 \n",
+      " dense_78 (Dense)            (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_79 (Dense)            (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_80 (Dense)            (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_81 (Dense)            (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_82 (Dense)            (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_83 (Dense)            (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_84 (Dense)            (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_85 (Dense)            (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_86 (Dense)            (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_87 (Dense)            (None, 2)                 102       \n",
+      "                                                                 \n",
+      "=================================================================\n",
+      "Total params: 23652 (92.39 KB)\n",
+      "Trainable params: 23652 (92.39 KB)\n",
+      "Non-trainable params: 0 (0.00 Byte)\n",
+      "_________________________________________________________________\n",
+      "\n",
+      "\n",
+      "start training the network\n",
+      "6/6 [==============================] - 0s 2ms/step - loss: 1.3110 - mean_squared_error: 1.3008\n",
+      "Loss on test set  1.3109960556030273 accuracy on test_set  1.3007715940475464\n",
+      "   RelativeError  MeanSquaredError  CoefficientOfDetermination\n",
+      "0       0.031539          2.366842                    0.986169\n",
+      "1       0.023795          0.255150                    0.985551\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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nq50vJydHABBz586Vt1UklLu4uGhsV/2tfPXVV/K2ffv2ie7du4tatWppNIIlJycLIYS4ePGisLOzE+3btxdr1qyRPywUV1oov3fvntwgUvI92bFjhwAgduzYofNrI6Lq57///hNdunSR/7fY2tqKzp07i6ioKHH37l21Y+vXry/s7e3VGg/v3bsn3N3dxZtvvilv07UBtKTSGh9Vz21tba3WQFwWVQPo8ePH5W2qxloHBwe1AK5qsP/444/lbR07dhSenp5q70F+fr5o2bKl8PPzk8sWHh4uHBwc5P/JquOaNm1qklA+evRo4erqWtZbo9Vnn30mAIhNmzapbZ83b54AIHbv3q1WlhYtWpR7zsuXLwtra2sxbNiwUo/JysoS7u7uon///mrbCwoKROvWrUX79u3lbarPiYsWLVI7NigoSA7GKqoG+0GDBsnboqKihJWVlTh27Jja41WN28XrOwCiTp06IiMjQ96WnJwsrKysRFRUlLxtwYIFGj/nsqg+Gy5ZskRt++zZswUAcejQIa2PU/1trFu3TlhbW8sN5sePHxcARGxsbJnP6+TkpPUzZEX/VsmwOHydKqVZs2Zo27Yt2rZti6eeegqff/45evXqhUmTJhl0FsoLFy7g999/R58+fdCyZUu9Hlty8hE7O7syt+fk5AAoGs4HQOswZB8fHxQWFiI1NRWpqakoLCyEl5eXxnHatlWFyMhILFy4EEeOHEGfPn3g4eGB7t27a71mvriUlJRSX69qv75u374Na2vrMt+Lf//9FwDQrl072Nraqn1t3LgR//33n9rxjo6OsLe3V9tmZ2endaIZOzs7+Weqeq5t27ZpPE+LFi0AQOO5PDw81O4rFAoAlb+OsU6dOhrbVO+R6n0+evQoevXqBQD44osv8Ntvv+HYsWOYMmWKWhkeffRR7N27F56enhg1ahQeffRRPProozrNIZCSkoL8/HwsXbpU4z15+umnAWi+J0RkWTw8PPDrr7/i2LFjmDt3Lp555hlcuHABkZGRCAwM1PgfEBQUhHr16sn37e3t0bhxY/zzzz/ytu3bt6Nbt27w8fFBfn6+/NWnTx8AwMGDB+Vjf/75Z/To0QNKpRLW1tawtbXFBx98gJSUFNy6dUvtuVu1aqXX9cve3t5o06aNfN/d3R2enp4ICgqS6zag6PMMAPk1ZGVl4ffff8fgwYPh7OwsH2dtbY2XXnoJiYmJOH/+PABg//796N69u9r/dWtra4SHh+tcTkNq37490tLSMGTIEGzZskXn/+E///wznJyc5EuyVFTD6ksOJdfFnj17UFBQgFGjRpV6zOHDh3Hnzh1ERESo/a4UFhbiqaeewrFjxzSGlpdcAaBZs2aQJEn+/QIAGxsbNGzYUOP3smXLlggKClJ7rt69e2sddt6tWze4uLjI9+vUqQNPT0+1c1bUsGHD1O6rLv3cv3+/vO3EiRMYMGAAPDw85L+Nl19+GQUFBbhw4QIAoGHDhnBzc8O7776Lzz77TOOSv/Lo87dKxsPZ18ngWrVqhV27duHChQto3769HJ5U1yOp6PNBv1OnTnjuuecwYsQIAEXXSpV2nZuhqMLYzZs3NfbduHEDVlZWcHNzgxACkiQhOTlZ47iS20p7L3QNu/b29hqPBYrey0ceeUS+b2NjgwkTJmDChAlIS0vD3r178d5776F37964fv06HB0dtZ7fw8Oj1NcLQO05dFW7dm0UFBQgOTm51OusVef9/vvvUb9+fb2fQx+PPPIIWrVqhdmzZ2vdX/xDmjGpGiKKU/2+qH73vv32W9ja2mL79u1qjRDaljR5/PHH8fjjj6OgoADHjx/H0qVLMW7cONSpUwcvvPBCqeVwc3OTP2SW9qEpICBAn5dGRNWUqpEdKJq7491338VHH32E+fPnq12bW7KxEihqsCzeWFm8AVQb1WcAVeNjaGgovvjiC/ma1tjYWMyePVujAbS8+TpKKq2xtryG+dTUVAghdGqoTklJMauG+Zdeegn5+fn44osv8Oyzz6KwsBDt2rXDrFmz0LNnz1Ifp3odkiSpbff09ISNjU2FG+YBwM/Pr9RjVPVhycaA4u7cuQMnJyf5vrafX2kN9hkZGWrPdfHixXJ/L1V0+V2vCBsbG41zl2yYv3btGh5//HE0adIES5Ysgb+/P+zt7XH06FGMGjVKLoNSqcTBgwcxe/ZsvPfee0hNTYW3tzdef/11vP/++6W+VhVd/1bJuBjKyeBOnjwJAPJsz6rJRxISEtC7d2/5uJIzb5cnIiICTk5OGDp0qDxZhbW1tUHKrE2TJk3g6+uL9evXY+LEiXIllZWVhc2bN8szsgNFrdIxMTFYsGCBXCHcvXtXY732OnXqwN7eHgkJCWrbt2zZolOZ/P39NR574cIFnD9/vtTA7OrqisGDByMpKQnjxo3D1atX0bx5c63Hdu/eHVFRUYiPj8djjz0mb1+3bh0kSUK3bt10Kmdxffr0QVRUFJYvX44PP/xQ6zG9e/eGjY0NLl26hGeffVbv59BHv379sGPHDjz66KNwc3MzyDmL9547ODjo9Ji7d+9i69atGDBggLxt/fr1sLKywhNPPAGgaGIWGxsbtd/ze/fu4auvvir1vNbW1ujQoQOaNm2Kb775BvHx8XjhhRdK7eF3dHREt27dcOLECbRq1Ur+YEpENZutrS2mTZuGjz76CGfOnNH78bo2gOrT+AhAIzAai5ubG6ysrHRqqPbw8NCpYR4oqi+0Na7rEnjt7e3lSUaL0xaaXnnlFbzyyivIysrCL7/8gmnTpqFfv364cOFCqY3fHh4e+P333+XOBpVbt24hPz+/wg3zAJCYmIi6detqPUZ13qVLl6Jjx45aj9E2uqwiHnnkETg4OGidmLB4WYwtPz8fKSkpasG8ZMN8bGwssrKyEBMTo/YzU33OLi4wMBDffvsthBBISEjAmjVr8OGHH8LBwQGTJ08usyzm0llR0zGUU6WcOXNGnpkxJSUFMTEx2LNnDwYOHCj3rnl5eaFHjx6IioqCm5sb6tevj3379iEmJkbv5xs8eDAcHR0xePBg3Lt3Dxs2bDBaiLCyssL8+fMxbNgw9OvXD2+++SZyc3OxYMECpKWlyUtwAUXrdT711FPo2bMn3n77bRQUFGDevHlwcnLCnTt35OMkScKLL74or+vZunVrHD16FOvXr9epTC+99BJefPFFjBw5Es8++yz++ecfzJ8/X670VPr37y+vIV+7dm38888/iI6ORv369dGoUaNSzz9+/HisW7cOffv2xYcffoj69evjxx9/xKeffoq33nqrQkuePP7443jppZcwa9Ys/Pvvv+jXrx8UCgVOnDgBR0dHjBkzBv7+/vjwww8xZcoUXL58WV7v/t9//8XRo0fh5ORksFnAP/zwQ+zZswedO3fG2LFj0aRJE+Tk5ODq1avYsWMHPvvsszJb9LUJDAwEAMybNw99+vSBtbV1uQHXw8MDb731Fq5du4bGjRtjx44d+OKLL/DWW2/Jw0L79u2LxYsXY+jQoXjjjTeQkpKChQsXygFb5bPPPsPPP/+Mvn37ol69esjJyZE/cPTo0QMA4OLigvr162PLli3o3r073N3d8cgjj8Df3x9LlixBly5d8Pjjj+Ott96Cv78/7t69i4sXL2Lbtm34+eef9Xo/iKh6uXnzptYe4T///BNAxT6U69oAWpHGx6rg5OSEDh06ICYmBgsXLpQbXAsLC/H111/Dz89PrhO7deuGrVu34t9//5XDY0FBATZu3KhxXm2N6z///DMyMzPLLZO/vz++++475ObmyvVASkoKDh8+jFq1apX6Ovr06YO8vDyEhYXh7NmzpYby7t27Y9OmTYiNjcXAgQPl7evWrZP366tXr16wtrbG8uXL0alTJ63HhISEwNXVFefOnZNXejGWfv36Yc6cOfDw8DDYKLCKXtb2zTffYOzYsfJ91WdB1azoqoaR4nW+EAJffPFFqeeUJAmtW7fGRx99hDVr1iA+Pl6tnNrKaIzOCtIfQzlVyiuvvCJ/r1QqERAQgMWLF2PkyJFqx3311VcYM2YM3n33XRQUFKB///7YsGGDPExOH08//TR27NiB/v3745lnnkFMTIzOvZP6Gjp0KJycnBAVFYXw8HBYW1ujY8eO2L9/Pzp37iwf17NnT8TGxuL9999HeHg4vLy8MHLkSNy7d08jTC5atAhA0bJlmZmZePLJJ7F9+3aN5UxKK8+NGzfw2WefYfXq1WjZsiWWL1+u8RzdunXD5s2b8eWXXyIjIwNeXl7o2bMnpk6dWuYwptq1a+Pw4cOIjIxEZGQkMjIy0KBBA8yfPx8TJkzQ451Tt2bNGnmJmzVr1sDBwQHNmzdXW54lMjISzZs3x5IlS7Bhwwbk5ubCy8sL7dq1w//+978KP3dJ3t7eOH78OGbOnIkFCxYgMTERLi4uCAgIkBsD9DV06FD89ttv+PTTT/Hhhx9CCIErV66U+TP18vLCJ598gokTJ+L06dNwd3fHe++9p/azfPLJJ7Fq1SrMmzcP/fv3h6+vL15//XV4enrKl3IARdd37t69G9OmTUNycjKcnZ3RsmVLbN26Vb4mHQBWrlyJd955BwMGDEBubi4iIiKwZs0aNG/eHPHx8Zg5cybef/993Lp1C66urmjUqJF8XTkRWa7evXvDz88P/fv3R9OmTVFYWIiTJ09i0aJFcHZ21liqURe6NoDq2vhoClFRUejZsye6deuGiRMnws7ODp9++inOnDmDDRs2yKHp/fffx9atW/Hkk0/igw8+gKOjIz755BON66CBosb1qVOn4oMPPkDXrl1x7tw5LFu2DEqlstzyvPTSS/j888/x4osv4vXXX0dKSgrmz5+vEchff/11ODg4ICQkBN7e3khOTkZUVBSUSiXatWtX6vlffvllfPLJJ4iIiMDVq1cRGBiIQ4cOYc6cOXj66aflRl59+Pv747333sPMmTNx7949DBkyBEqlEufOncN///2HGTNmwNnZGUuXLkVERATu3LmDwYMHw9PTE7dv38apU6dw+/ZtLF++XO/n1mbcuHHYvHkznnjiCYwfPx6tWrVCYWEhrl27ht27d+Ptt99Ghw4d9DqnqmF+yZIliIiIgK2tLZo0aaJ2LXpJdnZ2WLRoETIzM9GuXTscPnwYs2bNQp8+fdClSxcARZ8t7ezsMGTIEEyaNAk5OTlYvnw5UlNT1c61fft2fPrppwgLC0ODBg0ghEBMTAzS0tLULlcIDAzEgQMHsG3bNnh7e8PFxQVNmjQxSmcFVYAJJ5kjIqqRdJ21loioKmzcuFEMHTpUNGrUSDg7OwtbW1tRr1498dJLL8lLKqmUtvKGtpnBb9++LcaOHSsCAgKEra2tcHd3F23atBFTpkwRmZmZ8nGrVq0STZo0EQqFQjRo0EBERUWJlStXal2BRJdVP4qXSdv/2tLOA0CMGjVKbduvv/4qnnzySeHk5CQcHBxEx44dxbZt2zQe+9tvv8nLqnl5eYl33nlHrFixQuM15ObmikmTJom6desKBwcH0bVrV3Hy5EmdZl8XQoi1a9eKZs2aCXt7e9G8eXOxceNGjdnX165dK7p16ybq1Kkj7OzshI+Pj3j++edFQkJCue9ZSkqK+N///ie8vb2FjY2NqF+/voiMjBQ5OTlqx+lbj61bt060a9dO2NvbC2dnZxEcHKyxEs3BgwdF3759hbu7u7C1tRW+vr6ib9++4rvvvpOPUc2+fvv2bbXHRkRECCcnJ43n1VbOzMxM8f7774smTZoIOzs7oVQqRWBgoBg/frzaDPrafh+E0L4STmRkpPDx8RFWVlZaf27aypqQkCBCQ0OFg4ODcHd3F2+99Zba34UQQmzbtk20bt1a2NvbC19fX/HOO++In376Se05/vrrLzFkyBDx6KOPCgcHB6FUKuXVWIo7efKkCAkJEY6OjgKA2t+rrn+rZDySEEKYrEWAiKgGCg0NxX///Veh6zSJiIio+ho+fDi+//57nS5ZoJqDS6IRERERERERmQivKSciqmIl10ElIiIiopqLw9eJiIiIiIiITITD14mIiIiIiIhMhKGciIiIiIiIyEQs/prywsJC3LhxAy4uLvJ6kkRERKYkhMDdu3fh4+MDKyu2jxMREdVkFh/Kb9y4gbp165q6GERERBquX78OPz8/Uxej2mMDPBERmRt9GuAtPpS7uLgAKPrgU6tWLROXhoiICMjIyEDdunXlOooqhw3wRERkrnRpgLf4UK5qMa9VqxZDORERmRX26hoGG+CJiMjc6NMAb/GhnIiIiCwbG+CJiMhc6dIAz9lliIiIiIiIiEyEoZyIiIiIiIjIRDh8/YGCggLcv3/f1MUgKpOtrS2sra1NXQwiomqJdT1VB6zriWqeGh/KhRBITk5GWlqaqYtCpBNXV1d4eXlxgigiIh2xrqfqhnU9Uc1S40O5qpL29PSEo6Mj//mR2RJCIDs7G7du3QIAeHt7m7hERETVA+t6qi5Y1xPVTDU6lBcUFMiVtIeHh6mLQ1QuBwcHAMCtW7fg6enJ4W1EROVgXU/VDet6opqnRk/0prquzNHR0cQlIdKd6veV10USEZWPdT1VR6zriWqWGh3KVTiMjaoT/r4SEemP/zupOuHvK1HNwlBOREREREREZCIM5VSm6dOnIygoSL4/fPhwhIWFVXk5rl69CkmScPLkySp/biIiIiIiImNhKDeQhMQ0DFlxBAmJaUZ/ruHDh0OSJEiSBFtbWzRo0AATJ05EVlaW0Z97yZIlWLNmjU7HWlKQVr3fpX0NHz7c1EUkIiKqMDbCExGZDkO5gcTEJyHucgpi4pOq5Pmeeuop3Lx5E5cvX8asWbPw6aefYuLEiVqPNeQkIUqlEq6urgY7X3Vx8+ZN+Ss6Ohq1atVS27ZkyRK14zkxCxGRZWIjvCZLCtJshCciU2Aor4TE1GycTkzHmaR0bDt1AwCw7dQNnElKx+nEdCSmZhvtuRUKBby8vFC3bl0MHToUw4YNQ2xsLICHrd2rVq1CgwYNoFAoIIRAeno63njjDXh6eqJWrVp48skncerUKbXzzp07F3Xq1IGLiwtGjBiBnJwctf0lW84LCwsxb948NGzYEAqFAvXq1cPs2bMBAAEBAQCA4OBgSJKE0NBQ+XGrV69Gs2bNYG9vj6ZNm+LTTz9Ve56jR48iODgY9vb2aNu2LU6cOFHm+xEZGYmOHTtqbG/VqhWmTZsGADhw4ADat28PJycnuLq6IiQkBP/880+Z51Xx8vKSv5RKJSRJku/n5OTA1dUVmzZtQmhoKOzt7fH1119r9DoAQHR0NPz9/dW2lfdeEBGR+WAjvGVjIzwRmQJDeSV0mbcf/ZcdQr+lh3AnKw8AcCcrD/2WHkL/ZYfQZd7+KiuLg4ODWsVw8eJFbNq0CZs3b5Zbrvv27Yvk5GTs2LEDf/zxBx577DF0794dd+7cAQBs2rQJ06ZNw+zZs3H8+HF4e3uXGxAjIyMxb948TJ06FefOncP69etRp04dAEXBGgD27t2LmzdvIiYmBgDwxRdfYMqUKZg9ezb+/PNPzJkzB1OnTsXatWsBAFlZWejXrx+aNGmCP/74A9OnTy/1A4jKsGHD8Pvvv+PSpUvytrNnz+L06dMYNmwY8vPzERYWhq5duyIhIQFxcXF44403DDq76bvvvouxY8fizz//RO/evXV6THnvBRERmR4b4dkIz0Z4IjImG1MXoDqLDg/CxO9OIb9QQDzYprq1sZKw8LnWVVKOo0ePYv369ejevbu8LS8vD1999RVq164NAPj5559x+vRp3Lp1CwqFAgCwcOFCxMbG4vvvv8cbb7yB6OhovPrqq3jttdcAALNmzcLevXs1KmqVu3fvYsmSJVi2bBkiIiIAAI8++ii6dOkCAPJze3h4wMvLS37czJkzsWjRIgwaNAhAUWV+7tw5fP7554iIiMA333yDgoICrFq1Co6OjmjRogUSExPx1ltvlfoetGzZEq1atcL69esxdepUAMA333yDdu3aoXHjxrhz5w7S09PRr18/PProowCAZs2a6flOl23cuHHya9JVee8FEZmJ3VOB8z8B/ZcA/iGmLg1VseKN7KqmXFUjvMrVuX2rpCxlNcJbW1sDKGqEd3d3x44dO6BUKvH555+je/fuuHDhAtzd3eVG+E8++QSPP/44vvrqK3z88cdo0KBBqc8bGRmJL774Ah999BG6dOmCmzdv4q+//gJQ9Dmkffv22Lt3L1q0aAE7OzsARQ3P06ZNw7JlyxAcHIwTJ07g9ddfh5OTEyIiIuRG+CeffBJff/01rly5gv/7v/8r8/UPGzYMc+fOxaVLl+T6XNUI//3338uN8K+//jo2bNiAvLw8HD161OCN8IsWLcLq1auhUCiwYsWKch9T3ntBRGbinzigdhPA0b1Kn5ahvBLCgn3R0NNZrVJWiR0Vgpa+SqM99/bt2+Hs7Iz8/Hzcv38fzzzzDJYuXSrvr1+/vhyKAeCPP/5AZmYmPDw81M5z7949uXf5zz//xP/+9z+1/Z06dcL+/dp7/P/880/k5uaqNQaU5/bt27h+/TpGjBiB119/Xd6en58PpVIpn7d169ZwdHRUK0d5hg0bhlWrVmHq1KkQQmDDhg0YN24cAMDd3R3Dhw9H79690bNnT/To0QPPP/88vL29dS57edq2bavX8bq8F0RkBraPB46vKvr+6iGG8hqIjfBshC+OjfBEFmrVU8C1uKLvp6dX6VMzlBuIJAFCPLw1tm7dumH58uWwtbWFj48PbG1t1fY7OTmp3S8sLIS3tzcOHDigca6KXjPm4OCg92MKCwsBFLUYd+jQQW2fqoVfVPANHDp0KCZPnoz4+Hjcu3cP169fxwsvvCDvX716NcaOHYudO3di48aNeP/997Fnzx6tw+AqouR7bmVlpfFaivdu6PJeEJGJFQ/kABAy1nRlIZNhIzwb4YtjIzyRBSoeyGG4kTW6YiivJA9nO9R2VsDb1R7h7epi47HruJmWAw9nO6M+r5OTExo2bKjz8Y899hiSk5NhY2OjcY2TSrNmzXDkyBG8/PLL8rYjR46Ues5GjRrBwcEB+/btk1vbi1MNXysoKJC31alTB76+vrh8+TKGDRum9bzNmzfHV199hXv37snBv6xyqPj5+eGJJ57AN998g3v37qFHjx7y9e0qwcHBCA4ORmRkJDp16oT169cbLJSXVLt2bSQnJ0MIIQ+bKz4zrS7vBRGZUMlAPiUZsNW/MZIsCxvhdcNGeDbCE1UbaoEcwAd3qrwIDOWV5K10wKHJ3WBnbQVJkjC0fT3kFRRCYWNe/2R79OiBTp06ISwsDPPmzUOTJk1w48YN7NixA2FhYWjbti3+7//+DxEREWjbti26dOmCb775BmfPni31GjN7e3u8++67mDRpEuzs7BASEoLbt2/j7NmzGDFiBDw9PeHg4ICdO3fCz88P9vb2UCqVmD59OsaOHYtatWqhT58+yM3NxfHjx5GamooJEyZg6NChmDJlCkaMGIH3338fV69excKFC3V6ncOGDcP06dORl5eHjz76SN5+5coVrFixAgMGDICPjw/Onz+PCxcuyA0QR48excsvv4x9+/bB19e38m84gNDQUNy+fRvz58/H4MGDsXPnTvz000+oVauWfEx57wURmQgDOZXARng2wpeGjfBE1ZhGIE8FrKp+LnTOvm4AChtr+Z+wJElmF8iBonLt2LEDTzzxBF599VU0btwYL7zwAq5evSpXZOHh4fjggw/w7rvvok2bNvjnn3/KvK4LAKZOnYq3334bH3zwAZo1a4bw8HDcunULAGBjY4OPP/4Yn3/+OXx8fPDMM88AAF577TV8+eWXWLNmDQIDA9G1a1esWbNGnr3V2dkZ27Ztw7lz5xAcHIwpU6Zg3rx5Or3O5557DikpKcjOzlabNdbR0RF//fUXnn32WTRu3BhvvPEGRo8ejTfffBMAkJ2djfPnzxt0aZNmzZrh008/xSeffILWrVvj6NGjGrPIl/deEJEJMJCTFqpG+C2jQjCsQ31sGRWCQ5O7wVtpXr8bxRvhd+3ahatXr+Lw4cN4//33cfz4cQDA//3f/2HVqlVYtWoVLly4gGnTpuHs2bOlnrN4I/y6detw6dIlHDlyBCtXrgQAtUb4f//9F+npRddiTp8+HVFRUViyZAkuXLiA06dPY/Xq1Vi8eDGAoh5vKysrjBgxAufOncOOHTv0aoT/9ttv8d133+HFF1+Ut1+5cgWRkZGIi4vDP//8g927d+PChQvydeVHjx5F06ZNkZRkuCXtijfCX7p0CZ988gl++ukntWPKey+IyATMJJADAISFS09PFwBEenq6xr579+6Jc+fOiXv37pmgZEQVw99bIiPaNk6IabUefuVlG+VpyqqbSH+WWtdHRESIZ555ptT906ZNE61bt9bYnpGRIcaMGSN8fHyEra2tqFu3rhg2bJi4du2afMzs2bPFI488IpydnUVERISYNGmS2rlKPndBQYGYNWuWqF+/vrC1tRX16tUTc+bMkfd/8cUXom7dusLKykp07dpV3v7NN9+IoKAgYWdnJ9zc3MQTTzwhYmJi5P1xcXGidevWws7OTgQFBYnNmzcLAOLEiRNlvjepqalCoVAIR0dHcffuXXl7cnKyCAsLE97e3sLOzk7Ur19ffPDBB6KgoEAIIcT+/fsFAHHlypUyzy+EEKtXrxZKpVK+f+XKlVLLtnz5clG3bl3h5OQkXn75ZTF79mxRv359tWPKey+Kq86/t0TVwsre6vX9g/8RhqRPXS8JURVXRJUuKSkJ7777Ln766Sfcu3cPjRs3xsqVK9GmTRsARdcbzZgxAytWrEBqaio6dOiATz75BC1atNDp/BkZGVAqlUhPT1cbNgwAOTk5uHLlCgICAmBvb2/w10ZkDPy9JTKOlG9HweOvrx9uMGIPeVl1E+mPdT1ZGv7eEhlRFfWQ61PXm3T4empqKkJCQmBra4uffvoJ586dw6JFi9QmIpk/fz4WL16MZcuW4dixY/Dy8kLPnj1x9+5d0xWciIgsy/bxVRbIiYiIyETMach6MSad6G3evHmoW7cuVq9eLW8rPimJEALR0dGYMmWKvK7j2rVrUadOHaxfv16+HpiIiKgiElOz4bDrHbVA3tnqG6y4lQch8uDmZAs/N8cyzkBERETVgpkGcsDEPeVbt25F27Zt8dxzz8HT0xPBwcH44osv5P1XrlxBcnIyevXqJW9TKBTo2rUrDh8+rPWcubm5yMjIUPsiIiICgITENAxZcQQJiWkAgAOLXlQL5E1y1uBmtoR+Sw+h/7JD6DJP+7rNREREVI2YcSAHTBzKL1++jOXLl6NRo0bYtWsX/ve//2Hs2LFYt24dACA5ORkANJa5qFOnjryvpKioKCiVSvmrbt26xn0RRERUbcTEJyHucgpi4pOA7ePxos0+eV+TnDXIhR1UE63YWEmIDg8ySTmJiIjIQMw8kAMmHr5eWFiItm3bYs6cOQCK1pQ8e/Ysli9frrZ2pmq5MRVRbB3IkiIjI9XWd87IyGAwJyKqwRJTs5GadR+SBGw7dQMA0PLEdEDslo9RBfLiYkeFoKWvsiqLSkRERIZUDQI5YOJQ7u3tjebNm6tta9asGTZv3gwA8PLyAlDUY+7t7S0fc+vWLY3ecxWFQgGFQmGkEhMRUXVTfAi6BGCWzUoMFpo95JIECAH5loiIiKqxahLIARMPXw8JCcH58+fVtl24cAH169cHAAQEBMDLywt79uyR9+fl5eHgwYPo3LlzlZaViIiqp+jwINhYFY2ummmzUm3Ieou8tYjsH4TazgoE+ioxe2BLBPoqUdtZAQ9nu9JOSUREROasGgVywMQ95ePHj0fnzp0xZ84cPP/88zh69ChWrFiBFStWACgatj5u3DjMmTMHjRo1QqNGjTBnzhw4Ojpi6NChpiw6ERFVE2HBvmjo6YyTy1/RuIZ885huaOmrxJAO9WBnbQVJkjC0fT3kFRRCYWNtwlITERFRhVSzQA6YuKe8Xbt2+OGHH7Bhwwa0bNkSM2fORHR0NIYNGyYfM2nSJIwbNw4jR45E27ZtkZSUhN27d8PFxcWEJTd/oaGhGDduXJWec/r06QgKCpLvDx8+HGFhYQYtAxFRRXgfek8tkDfNVb+GXGFjLc9VIkkSAzlVG6zviYiKqYaBHDBxTzkA9OvXD/369St1vyRJmD59OqZPn151hTJzw4cPR1paGmJjY01dlDItWbIEghdmEpGpbR8Pjz8fLnv2ba+jaBx/GzfTcjhEncwa63siIj1U00AOmEEoJ8ulVHLWYiIyse3jgeOr5LvivZt4wc4R4Z0ac4g6kYGwvicik6vGgRww8fB1syQEkJdV9V+VaGHOysrCyy+/DGdnZ3h7e2PRokUax+Tl5WHSpEnw9fWFk5MTOnTogAMHDsj7U1JSMGTIEPj5+cHR0RGBgYHYsGFDhcsEaA5nCw0NxdixYzFp0iS4u7vDy8tLYwREeno63njjDXh6eqJWrVp48skncerUqUqVg4hqqBKBHFOSIdk5AqjYEPWExDQMWXEECYlpBiwkke5Y3xMRaVHNAznAnnJN97OBOT5V/7zv3QDsnCr00HfeeQf79+/HDz/8AC8vL7z33nv4448/1K73euWVV3D16lV8++238PHxwQ8//ICnnnoKp0+fRqNGjZCTk4M2bdrg3XffRa1atfDjjz/ipZdeQoMGDdChQwcDvUhg7dq1mDBhAn7//XfExcVh+PDhCAkJQc+ePSGEQN++feHu7o4dO3ZAqVTi888/R/fu3XHhwgW4u7sbrBxEZOG0BHLYOgAoCtdRO/5C5NNN0crPVedTxsQnIe5yCmLik/R6HJkhIYrqe1OwdSxad68CWN8TEZVgAYEcYCiv9jIzM7Fy5UqsW7cOPXv2BFBUEfr5+cnHXLp0CRs2bEBiYiJ8fIoaHCZOnIidO3di9erVmDNnDnx9fTFx4kT5MWPGjMHOnTvx3XffGbSSbtWqFaZNmwYAaNSoEZYtW4Z9+/ahZ8+e2L9/P06fPo1bt27Ja80vXLgQsbGx+P777/HGG28YrBxEZMHKCOSAfuE6MTUbqVn3IUnAtlM3ABTdDm7jByEANydb+Lk5GuNVkDGZqgEeqHAjPOt7IqISLCSQAwzlmmwdiypMUzxvBVy6dAl5eXno1KmTvM3d3R1NmjSR78fHx0MIgcaNG6s9Njc3Fx4eHgCAgoICzJ07Fxs3bkRSUhJyc3ORm5sLJ6eK9d6XplWrVmr3vb29cevWLQDAH3/8gczMTLlMKvfu3cOlS5cMWg4islClBPKKhusu8/bL36v6Nu9k5aHf0kPy9qtz+xrlpViKqKgoxMTE4K+//oKDgwM6d+6MefPmyfXU/fv38f7772PHjh24fPkylEolevTogblz58rBkljfExGpsaBADjCUa5KkCg8jNwVdZjstLCyEtbU1/vjjD1hbq19D6ezsDABYtGgRPvroI0RHRyMwMBBOTk4YN24c8vLyDFpeW1tbtfuSJKGwsFAup7e3t9q1byqurq4GLQcRWaAyesgrGq6jw4Mw8btTyC8UUP23Vd3aWElY+FxrA74Ay3Tw4EGMGjUK7dq1Q35+PqZMmYJevXrh3LlzcHJyQnZ2NuLj4zF16lS0bt0aqampGDduHAYMGIDjx48bp1CmaoBXPXcFsL4nInrAwgI5wFBe7TVs2BC2trY4cuQI6tWrBwBITU3FhQsX0LVrVwBAcHAwCgoKcOvWLTz++ONaz/Prr7/imWeewYsvvgigqML8+++/0axZs6p5IQAee+wxJCcnw8bGBv7+/lX2vERkAcoZsl7RcB0W7IuGns5q4V0ldlQIWvpy1uny7Ny5U+3+6tWr4enpiT/++ANPPPEElEol9uzZo3bM0qVL0b59e1y7dk2u2wyqmjXAA6zviYgAWGQgBzj7erXn7OyMESNG4J133sG+fftw5swZDB8+HFbFfjkbN26MYcOG4eWXX0ZMTAyuXLmCY8eOYd68edixYweAosp+z549OHz4MP7880+8+eabSE5OrtLX0qNHD3Tq1AlhYWHYtWsXrl69isOHD+P99983Xm8JEVV/5QRyoChcx44K0frw2FEhCAv2LfdpVHNzVXCOLnogPT0dAMqczCs9PR2SJJXaa5qbm4uMjAy1L0vH+p6IarwSgXyo909IuGEZ///ZU24BFixYgMzMTAwYMAAuLi54++235Q89KqtXr8asWbPw9ttvIykpCR4eHujUqROefvppAMDUqVNx5coV9O7dG46OjnjjjTcQFhamcR5jkiQJO3bswJQpU/Dqq6/i9u3b8PLywhNPPIE6depUWTmIqBrRIZCXJElFk2+rbsvj4WyH2s4KeLvaI7xdXWw8dh0303Lg4WxXycLXPEIITJgwAV26dEHLli21HpOTk4PJkydj6NChqFWrltZjoqKiMGPGDGMW1SyxvieiGqtEIJ8RfAiH465ZzIooktDlIqVqLCMjA0qlEunp6RqVe05ODq5cuYKAgADY29ubqIRE+uHvLdEDegbym+n3MGDpbxrheuuYEHgryw7yufkFsLO2giRJEEIgr6BQ73XOiyurbrJko0aNwo8//ohDhw6pzRqucv/+fTz33HO4du0aDhw4UOp7o5qcTCUjIwN169ZlXU8Wg7+3RMWUCORnXruKiNXHkZKVBw8nO6x9tb1ZroiiT13PnnIiIqp+KtBD7q10wGcvPYYFO88j0FeJoe3r6Ryuix8jSVKlAnlNNWbMGGzduhW//PJLqYH8+eefx5UrV/Dzzz+X+QFGoVDIS2kREZHlylreA07/HpPvB+R8DbHssMWtiMJryomIqHqpQCBX2XbqJo5cuYOY+CSG6yoihMDo0aMRExODn3/+GQEBARrHqAL533//jb1792oslUVERDXQqqfUAnnsgDOwtiqqt7VN2hodHlSlxTMk9pQTEVH1UYFAXtE1yskwRo0ahfXr12PLli1wcXGRJxVTKpVwcHBAfn4+Bg8ejPj4eGzfvh0FBQXyMe7u7rCz47X7REQ1SWJqNty+HaAWyNtabcKaOrWwYHBrjN90UuMx1X1FFIZyIiKqHsoI5AmJaYja8Rcin26qMeFLRdcoJ8NYvnw5ACA0NFRt++rVqzF8+HAkJiZi69atAICgoCC1Y/bv36/xOCIismw3PgqFn9V5+X5AztcA8tXqbX0nbTV3HL6OoqF1RNUFf1+pRioRyE8PP48hq08hITENABATn4S4yymIiU/SeGh0eBBsrIriuKUNd6sOhBBav4YPHw4A8Pf3L/UYBnIiohpm1VNoXyKQC1jJ9ba1BLjY2yDQV4nZA1si0FeJ2s4Kg62IkpCYhiErjsifL6pKje4pt7W1BQBkZ2fDwUG36xGJTC07OxvAw99fIounpYd880+XEXc5BV/8chlvdn20zGHpYcG+aOjprNbCrlLdh7uR7tigSdUJf1+pRioxy7oqkBe3ZXQXNKrjLK+Ios+krboo3shflUut1ehQbm1tDVdXV9y6dQsA4OjoCEmSynkUkWkIIZCdnY1bt27B1dUV1tacoIpqgBKB/MzwC8CtvIchPOEmtiXclPeXNyzd0oa7UfnYAE/VERvgqcbRsuyZWHZYa71t6BVRzGHumRodygHAy8sLAORgTmTuXF1d5d9bIotWIpA3yVmD3M+OA3h4bXhJxYelL3yutbzdw9kOtZ0VGmuUG2q4G5kvNsBTdcIGeKqRSgRyfJAKj7u5VVZvm8PcM5Kw8PExui7aXlBQgPv371dhyYj0Z2trywqaagYtQ9Zjz9zBxO9OIb+w/Gpr+5guGsPSc/ML5OFuQgiDDnfTl651E+mmvPdTCIHk5GSkpaVVfeGIKkDVAM8GJLJ4WgI5rIqGrFdVvR17IqnUzxeqRv6wYF+9z6tPXV/je8pVrK2tGXaIiMxBKbOsl3VtuEpZw9INPdyNqg9JkuDt7Q1PT082wJPZYwM81RhlBHKg6uptc5h7hqGciIjMh47rkMvXmKFoyHpDT2e8EuLPYelUJjbAExGZiXICuamYau4ZhnIiIjIPOgRybdeG30i7h3WvtoOPq6PBZ2ElIiIiAzPDQG7quWd4TTkREZmejj3kgHldG15RrJsMi+8nEVE1UUYgT0hMQ9SOvxD5dNMqXY5MxdCfL/Spm0w/RoCIiGo2PQI5UHSNmWryI14bTkREVE2U00NefI1wUzDl5wuGciIiMp0SgXxW0P4yAzkRERFVQ6UE8sTUbJxOTMeZpHS1NcLPJKXjdGI6ElOzART1og9ZcQQJiWkmKLzx8ZpyIiIyiczNY+B8ep18v0nOGjifTkFYu3QIAbg52cLPzdGEJSQiIqJKK6OHXNc1wov3optiaLuxMZQTEVHV2z5eLZA3zVmDXNghT0tFTERERNVUOUPWo8OD5DXCVROdqW6trSSM695Ioxd9cBs/i2u850RvRERUtUoMWW/yIJAXZ2MlYeFzrREW7FvVpasSrJsMi+8nEZEZ0nGW9TNJ6VrXCC9OtQSq6lbFnBvvOdEbERGZpxKB/OwrFzQCOQDEjgqx2EBORERk8Sqw7NmDOdbk27d7NoaNVdGdkr3oNlYSosODDFZcU2MoJyIigylzIhYts6wLG3sAmhVxpZ+LiIiITEPPQK5aIzzQV4nZA1si0FeJ2s4KDG7rh9hRIVofY2mN97ymnIiIDKbUiVhKWfbMwxmo7ayAt6s9wtvVxcZj13EzLQcezpq95zo/FxEREZlGBXrIvZUOODS5m7xG+ND29eQ1wlMy8wAUNdoL8fDW0jCUExFRpSSmZiM16z4kCVonYgn4/X21Sd2Kr0NeVkVckeeypElfiIiIqpUKBHKV4vV+8TXCVb3oFWm8r0440RsREVWK/+Qf5e9LTsQyy2YlXrTZ9/DgYoHc0M+lYs6TvqiwbjIsvp9ERCZWiUBentz8ArnxXghRZuO9OeFEb0REVGWiw4O0TsSiSyBPSExD/6WH0H/pIZ2uDS/tuQDLm/SFiIioWjBiIAeKetGlB5POFO9FtyQM5UREVClhwb4aE7Ho2kMeE5+E00npOJ2Ujpj4pAo9l4qlTfpCRERk9nQM5JyctWy8ppyIiAxGkoCZ1mUH8sTUbJy/eRd3c/PxQ3yivP2HE0lo7ecKFwcbNPVyKffacEuf9IWIiMis6dFDzslZy8ZQTkRElaaaiOVDm5Xok/MwkN8ccwXeJXrIu8zbr/Uc6ffuY/ymk/L90q4NrymTvhAREZmtEoF8RvAhTCsRyDk5q+4YyomIqNK8lQ440mo7rON3yNty302Ct4OzxrHR4UGYsOkkCkvp3baSgMXPB5X5XPrM2E5ERESGk7uiJxQ3jsr3A3K+hntCMp5tW08tbBdvhJce3N7JykO/pYfk7dVhctaqwFBORESVt308rONXP7w/JRmKUmZZDwv2RUNPZ7VKubito7ugpa+yzKcrbekUIiIiMqJVT6kF8gY5X0PASmvYjg4PwsTvTiG/UGidnHXhc62rrtxmjqGciIgqZ/t44Piqh/cruewZERERmaESQ9YDHgRyQHvYLqsRPnZUSLkN8DUJZ18nIqKKq2Ag93C2g7ujHWysJPi6OsDX1R42VhLcnex4bTgREZG5KRHIz7x2VQ7kxZW2EsqDFc3kW1LHnnIiIqqYSvSQeysdEPfekxBCyEPPc/MLOBSdiIjI3GibZf3mXQDlr4TCyVl1w1BORET6M8CQ9ZLh296WVRIREZE5SEhMQ9SOv/Blwftw+vfYwx0Plj3TNWxzclbd8BMQERHph9eQExERWbSY+CSMTxwLJ6vzDzcWW4dcn7DNyVnLx2vKiYhIdwzkREREFikxNRunE9NxJikdz8S/ivbFAvnpEVeRmJ6jdrzCxhrSg4vEKxq2ExLTMGTFESQkplWq7NUde8qJiEg3DOREREQWS7Wu+Ca7GWqBPCDna4hPDgMw/LriMfFJiLucgpj4JLTyczXouasThnIiIiofAzkREZFFiw4Pgu8PA9GuZCCHlUHXFU9MzUZq1n1IErDt1A0ARbeD2/hBCMDNyRZ+bo4Gea7qgqGciIjKxkBORERkMVSTuEU+3VStdzrsxAhASyAHDLuuuKpHHgBUK6TdycpTW8/c0D3y5o7XlBMRUekYyImIiCxK8SHjshLLnjXILQrkxlhXPDo8CDZWRSdWraKmurWxkhAdHmT4JzVz7CknIiLtGMiJiIgsQllDxgO2Pqu27Fl76+/Q0tfRaOuKhwX7oqGns1rPuIohe+SrE4ZyIiLSxEBORERkMUobMp79eU+NZc9+LRSws7bC6aR0bDt5A5+99Bi8lcb5DCBJgBAPb2sqDl8nIiJ1DOREREQWRduQ8Y0lZllXrUOuWuosJj4JR67cwbZTNw1eHg9nO9R2ViDQV4nZA1si0FeJ2s4Kg/bIVycM5URE9BADORlYVFQU2rVrBxcXF3h6eiIsLAznz59XO0YIgenTp8PHxwcODg4IDQ3F2bNnTVRiIiLLExbsi9hRIfL9ksueqQJ58bXKiw9zP5OUjtOJ6UhMzTZIebyVDjg0uRu2jArBsA71sWVUCA5N7ma0Hnlzx+HrRERUhIGcjODgwYMYNWoU2rVrh/z8fEyZMgW9evXCuXPn4OTkBACYP38+Fi9ejDVr1qBx48aYNWsWevbsifPnz8PFxcXEr4CIyLJ8ZzdDbdmzM69dRUuror5aXWZG79TAQ2Pm9opQ2Fg/fC5JUrtf07CnnIiIGMjJaHbu3Inhw4ejRYsWaN26NVavXo1r167hjz/+AFDUSx4dHY0pU6Zg0KBBaNmyJdauXYvs7GysX7/exKUnIrIcHs52+MF+plogb2/9HTxc7OX75c2M/nijRzRnbqdKYygnIqqBEhLTMGTFESQkpjGQU5VKT08HALi7uwMArly5guTkZPTq1Us+RqFQoGvXrjh8+LDWc+Tm5iIjI0Pti4iIyua9eSCC8ad8X3xwB79GdlcbMl5ymHtxC59rjXM3iv7fGmNIe03G4etERDWQao3S3NhxwH8/PNzBQE5GJITAhAkT0KVLF7Rs2RIAkJycDACoU6eO2rF16tTBP//8o/U8UVFRmDFjhnELS0RkSUqsQ44PUiFZWUFRRhdtyRnRx208WeqQ9qtz+xq2vDUMe8qJiGqIkpO3zLJZiXbFAnniqMsM5GRUo0ePRkJCAjZs2KCxT5IktftCCI1tKpGRkUhPT5e/rl+/bpTyEhFZBC2BHFalx8CSM6PXdX/42UDbkPbo8CCDF7mmYU85EZGFS0hMQ9SOvxB3OUXeNstmJV602Sffb5KzBrmLjrClm4xmzJgx2Lp1K3755Rf4+fnJ2728vAAU9Zh7e3vL22/duqXRe66iUCigUCiMW2AiIkugZyAHHs6MbmdtBUmSMLR9PZy4nopBn8ZpHBs7KgQtfZWGLnWNw55yIiILpxqq/kSjR2BjJWkN5AVWCrZ0k1EIITB69GjExMTg559/RkBAgNr+gIAAeHl5Yc+ePfK2vLw8HDx4EJ07d67q4hIRWY4KBHIV1VrlQNFIJjtr6wffQ+2WDIM95UREFigxNRupWfchSZDXGT17IwN7Gsci4GqJHnLYYTtbuslIRo0ahfXr12PLli1wcXGRryFXKpVwcHCAJEkYN24c5syZg0aNGqFRo0aYM2cOHB0dMXToUBOXnoiomqpEINdGNaTd29Ue4e3qYuOx67iZlgMPZzsDFJYYyomILJC2dUbH5y7XCOR5kt3DC8OIjGD58uUAgNDQULXtq1evxvDhwwEAkyZNwr179zBy5EikpqaiQ4cO2L17N9coJyKqCAMHckD7kPa8gsIavba4ITGUExFZoOjwIEz87hTyCwUENK8h7+7wLT7o05wt3WR0QpTf6iNJEqZPn47p06cbv0BERJbMCIFcpXgAlySJgdyAGMqJiCxQWLAvGno6o9/SQxqB/MTLf2JvgDdbuomIiCyJEQM5GRd/SkREFkzbpG62Cie1yVtKBvKExDQMWXEECYlpVVlUIiIiqigG8mqNPykiIgsV8Pv7aoF8sEcMajm7lDtUXTVbe0x8krGLSERERJXFQF7tcfg6EZEl2j4eTgnrHt6fkozvbOxLHaqubbb2baduYHAbPwgBuDnZws/NsapKT0RERLpgILcIDOVERJZm+3jg+KqH96ckA7YOkIBSrx3XNlv7naw89Ft6SN5+dW5fIxSWiIiIKoSB3GLwp0ZEZElKCeTliQ4Pgo1VURxXzZWturWxkhAdHmTQYhIREVElMJBbFJP+5KZPnw5JktS+vLy85P1CCEyfPh0+Pj5wcHBAaGgozp49a8ISExGZsQoGcqBotvbYUSFa98WOCkFYsK8hSkhERESVxUBucUz+02vRogVu3rwpf50+fVreN3/+fCxevBjLli3DsWPH4OXlhZ49e+Lu3bsmLDERkRmqRCAv6cHE7PItERERmQkGcotk8p+gjY0NvLy85K/atWsDKOolj46OxpQpUzBo0CC0bNkSa9euRXZ2NtavX2/iUhMRmREDBXIPZzu4OtjC0c4ab4U+ikBfJWo7K8qdrZ2IiIiqAAO5xTL5T/Hvv/+Gj48PAgIC8MILL+Dy5csAgCtXriA5ORm9evWSj1UoFOjatSsOHz5c6vlyc3ORkZGh9kVEZLEM2EPurXRA/9beyMotwL28AmwZFYJDk7vBW1mx8xEREZGBMJBbNJP+JDt06IB169Zh165d+OKLL5CcnIzOnTsjJSUFycnJAIA6deqoPaZOnTryPm2ioqKgVCrlr7p16xr1NRARmYyBAnliajZOJ6bjTFI6dpwu+v+67dQNnL2RgQvJmUhMzTZUiYmIiEhfDOQWz6RLovXp00f+PjAwEJ06dcKjjz6KtWvXomPHjgAAqcRFjUIIjW3FRUZGYsKECfL9jIwMBnMisjwG7CHncmhERERmioG8RjCrn6iTkxMCAwPx999/y7Owl+wVv3XrlkbveXEKhQK1atVS+yIiqk4SEtMwZMURJCSmaT/AgIEc4HJoREREZomBvMYwq59qbm4u/vzzT3h7eyMgIABeXl7Ys2ePvD8vLw8HDx5E586dTVhKIiLjiolPQtzlFMTEJ2nuNHAgB7gcGhERkbGV2+BeEgN5jWLS4esTJ05E//79Ua9ePdy6dQuzZs1CRkYGIiIiIEkSxo0bhzlz5qBRo0Zo1KgR5syZA0dHRwwdOtSUxSYiMrjE1GykZt2HJBVdzw0U3Q5u4wchADcnW/j9NsXggbwkSQKEeHhLRERElVe8wb2Vn2vZBzOQ1zgmDeWJiYkYMmQI/vvvP9SuXRsdO3bEkSNHUL9+fQDApEmTcO/ePYwcORKpqano0KEDdu/eDRcXF1MWm4jI4Mq7rnuWzUq8aLPv4QMMHMg9nO1Q21kBb1d7hLeri43HruNmWg6XQyMiIqognRrc3RzVH8RAXiNJQlh2X0hGRgaUSiXS09N5fTkRma3YE0mY+N0p5Bdq/kuebbsKw6z3PtxghB5yAMjNL4CdtRUkSYIQAnkFhVDYWBv8eYh1k6Hx/SQic+Q/+Uf5ewlF87WoblXUJlJlILco+tRN/CkTEZmB0q7rnmWzskoCOQAobKzl1S0kSWIgJyIiqgS9JlJlIK/R+JMmIjIzqlUfZ9kad8g6ERERGU9ZE6kuGNzq4USqDOQ1Hn/aRERmQnVdd6CvErsb/YAXrRnIiYiILIGqwV3l5/O3ir5hICcwlBMRmQ1vpQMOTe6GLfU3o/H17x7uYCAnIiKqljyc7eDuaIdHaztjZLdHYf1gOPuhv/9D1vIeDOQEgKGciMisKHZOhPSHcZc9IyIioqrhrXTAnew8XLyViU/3X0LhgwldV+S/D6d/jz08sJKBXO910MmsMJQTEZmLbePKXIecFS4REVH1U3LCt012M9DO6ry8P3bAmUr3kBdfB52qH5OuU05ERA8sbgFkJD68r6WHvHiF28rPtWrLR0RERBUSFuyLhp7O6Lf0EDbZzUD7YoH8zGtXEebnVqHzVmgddDJLDOVERKZWRiBnhUtERGQZSgbygJyvsU2qeA95l3n7NbalZOWh39JD8n21ddDJbDGUExGZUslAHpmo1kNevMJVTdx6hxUuERFRtdL4x+dgVyyQP+OxDY+k58HD2a7C54wOD8LE704hv1Bo7LOxkrDwudYVPjdVLV5TTkRkKtoCucJF7ZCS16EVv7WxkhAdHmT0YhIREVElrHoKdjd+f3j/g1TEjn4chyZ3g7ey4pO5tvV3KzV4L3yuNdr6V2xYPFU99pQTEZmCDoEcUL8OraTYUSFo6as0ZimJiIioMkpZh1wCoLCxrtSptQ1fVxm38SQAjqarLthTTkRU1XQM5CVJkvotERERmbFSArmhRIcHyeuel2TN0XTVCnvKiYiqUgUCuYezHWo7K+Dtao/wdnWx8dh13EzLqdR1aERERGRERg7kQNmj6bZwNF21wlBORFRVKthD7q10wKHJ3WBnbQVJkjC0fT3kFRRWetgbERERGUEVBPKSJAkQ4uEtVS8cvk5EVBXKCeQJiWkYsuIIEhLTtD5cYWMN6cG4dUmSGMiJiIjMURUHctVoukBfJWYPbIlAXyVqOys4mq6aYU85EZGx6dBDHhOfhLjLKYiJT0IrP9eqLR8RERFVngl6yDmazjIwlBMRGUFCYhqidvyFlXci4JiT/HBHsUCemJqN1Kz7kCRg26kbAIpuB7fxgxCAm5Mt/NwcTVF8IiIi0ocJArlK8QDO0XTVE0M5EZERxMQnYWHSUDhKKQ83lughL76UiWru1DtZeWoTtnApEyIiIjNnwkBOloG/LUREBpKYmo3Tien4+c9/8WZ8f/gWC+SdsA77LhftT0zNBlC0lInNg6VMVHOyqG5tuJQJERGRyZU35wsDORkCe8qJiAxE1fP9m2IMvIsF8hY5K5EFG4xYe1zednVu3zKXMonlUiZEREQmV+acLwzkZCD8rSEiMpDo8CAcVoxR6yEvCuQO8v3SesAfTKwu3xJZil9++QX9+/eHj48PJElCbGys2v7MzEyMHj0afn5+cHBwQLNmzbB8+XLTFJaICA9Hvp1JSleb8+VMUvrDEW8M5GRA7CknIjKQsP29gDICOaDZA65aysTb1R7h7epi47HruJmWw6VMyGJkZWWhdevWeOWVV/Dss89q7B8/fjz279+Pr7/+Gv7+/ti9ezdGjhwJHx8fPPPMMyYoMRHVdOXN+bLJbgb8rM4/fAADOVUSQzkRkSGUWPasZCCX8PB68eK4lAlZuj59+qBPnz6l7o+Li0NERARCQ0MBAG+88QY+//xzHD9+nKGciEwiOjwIE787hfxCoTHny3d2M9COgZwMjL9BRESVVSKQd7X+GnW9POGssIGDrTWcFTZo6u2C2s4KrT3gChtrSA/GrXMpE6ppunTpgq1btyIpKQlCCOzfvx8XLlxA7969S31Mbm4uMjIy1L6IiAwlLNgXsaNCNLZvYiAnI2FPORFRZZQI5IhMxG5rR9hZWyGvoBC2VhLuFwr5PgM3kbqPP/4Yr7/+Ovz8/GBjYwMrKyt8+eWX6NKlS6mPiYqKwowZM6qwlERUU0kSIAR7yMm4+JtERFRRWgI5FC5yz7fCxhpWVlZq94lI3ccff4wjR45g69at+OOPP7Bo0SKMHDkSe/fuLfUxkZGRSE9Pl7+uX79ehSUmoppANedLoK8SR70XMJCTUbGnnIioIkoJ5ESku3v37uG9997DDz/8gL59+wIAWrVqhZMnT2LhwoXo0aOH1scpFAooFIqqLCoR1TDynC/r+kK6duLhjgeBPCExDVE7/kLk0001l0oj0hObeIiI9MVATmQQ9+/fx/3792FVosfJ2toahYWFJioVEVERxbq+kEpZ9qz4+uVElcWeciIifTCQE+klMzMTFy9elO9fuXIFJ0+ehLu7O+rVq4euXbvinXfegYODA+rXr4+DBw9i3bp1WLx4sQlLTUQ1npZ1yBPTc5CadR+SBLX1ywe38YMQgJuTLfzcHE1UYKrOJCGEtlV6LEZGRgaUSiXS09NRq1YtUxeHiKozBnIykJpUNx04cADdunXT2B4REYE1a9YgOTkZkZGR2L17N+7cuYP69evjjTfewPjx4+VVCcpTk95PIqoCWgI5rKzgP/lHeZNqqdOSS55endu3igpJ5k6fuok95UREumAgJ6qQ0NBQlNX+7+XlhdWrV1dhiYiIylBKIAfKXr/cxkrCwudaV2lRyXIwlBMRlYeBnIiIyPKVEciBovXLG3o6o9/SQxoPjR0Vgpa+yqooJVkgTvRGRFQWBnIiIiLLV04gL0l1dY2OV9kQlYk95UREpWEgJyIisnx6BHLV+uXervYIb1cXG49dx820HHg421VRYckSMZQTEWnDQE5ERGSxVOuMf1nwPpz+PfZwRzk95PL65dZWkCQJQ9vXQ15BIRQ21lVQarJUHL5ORFSSnoE8ITENQ1YcQUJimvHLRkRERJUWE5+E8Ylj9QrkKgoba3l1CEmSGMip0hjKiYiKKxHIX/H6AQm3C8p8SEx8EuIupyAmPsnYpSMiIqIKSkzNxunEdJxJSsf0+M5ob3Ve3nd6xFUkpueYsHRUk3H4OhGRSolAPqf1Huz//TbqxyehlZ+r2qGJqdlIzboPSQK2nboBoOh2cBs/CAG4OdnCz82xKktPREREZegybz8A4Kr9ULXtATlfQ3xyuGgf1xknE2AoJyICNAL5uYhz2Pz1OQDaw7aqYgcA1cSrd7Ly1JZJYcVORERkPqLDgxC2pbnatgY5X0PAiuuMk0lx+DoRUYlA3iJnJZ7+/CTuZOUBeBi2+y87JIfx6PAg2FgVxXHx4HGqWxsrCdHhQVVUeCIiItKm5Jwv2gJ54YM4FDsqBGHBvlVdRCIADOVEVNOVCOTbnz6GXKuiYedlhe2wYF/EjgrRekpW7ERERKZRPIirzfkyXal23KO5RYGc64yTOeDwdSKqubTMst5P4QJ/3zpqw9BVYkeFoKWvUmO7JAFCPLwlIiIi01h3+B/EXU7BF79cxuFLKQCA6fGd1Y7pYL0JLXyduM44mQ2GciKqmXRY9qy8sO3hbIfazgp4u9qzYiciIjKR4pOvfh9fVLdvS7gJQHNStwY5X+PPWT24zjiZFYZyIqoxEhLTELXjL6xNfwV2WTce7igRyHUN295KBxya3I0VOxERkQkVn3y1uJKBvHHeN1gcHqxWT3OdcTIHDOVEVGPExCdhYdJQ2EkpDzdq6SHXJ2yzYiciIjKt6PAgTPzuFPILHw5r09ZDvnXM41ovQyMyNYZyIrJoxYe0/S9+ALyKBfKzL5+DMtsafgrNxzFsExERVQ9hwb5o6OkszwdTMpCrJnUjMlcM5URk0VRD2n5TjFEL5C1yViJrxUkAXE+ciIjIUpQM5As7HkaLi6mc84XMGkM5EVm06PAgtI99HD4lAzkcYGMlYeFzrU1YOiIiIjIED2c7jUDe3mojtnRqgLd723POFzJrDOVEZNHC9vcCtARyoPQlzoiIiKh68f7IS+2+mJqCX8XDy88YyMmcMZQTkeUqsexZy9yiQM71xImIiCzI9BIN7B/cgWRlDS1TxhCZJc54QESWqUQg72r9NRr4emH2wJYI9FWitrOC15YRERFVd1oCOazYK07VC3vKicjylAjkiEzEbmtHridORERkSRjIyUKwp5yILIuWQA6FCxQ21pAkCcDDJc4SEtMwZMURJCSmaT1VefuJiIjIRBjIyYIwlBOR5fj4Ma2BvDQx8UmIu5yCmPikCu0nIiIiE2AgJwvD4etEZBm2jwfuXHp4v5RAnpiajdSs+5AkYNupGwCKbge38YMQQG5+wYNede373Zxs4efmWCUviYiIiEpgICcLxFBORNXf9vHA8VUP75fRQ95l3n75e+nB7Z2sPPRbekjj2NL2X53bt7IlJiIiIn0xkJOF4vB1IqreSgbyKcllDlmPDg+CjVVR3Fatiqa6tbGS8GKHemXujw4PMlTJiYiISFcM5GTBGMqJqPrSFshtHcp8SFiwL2JHhWjdFzsqBLMGBpa5PyzYt8LFJSIiogpgICcLx+HrRFQ9VSCQlyRJgBAPb/XdT2RJ3Nzc5BUKynPnzh0jl4aI6AE9A3lCYhqidvyFyKebopWfq3HLRmQgOoXyrVu36nzCAQMGVLgwREQ6qUAgL15J13ZRoLazAt6u9ghvVxcbj13HzbQceDjbAQA8nO3K3E9kiaKjo+XvU1JSMGvWLPTu3RudOnUCAMTFxWHXrl2YOnWqiUpIRDWOlkCecONumaG7+MopDOVUXUhClN//Y2WlPspdkiQUf1jxlvWCggIDFq/yMjIyoFQqkZ6ejlq1apm6OERUWRXsIZ++9SzWHL6K4Z39MX1AC+TmF8DO2kr+f5ZXUAiFzcOW9/L2E1WGuddNzz77LLp164bRo0erbV+2bBn27t2L2NhY0xSsFOb+fhJRBZTSQ16yPgfUV1aJWHUUKVl58HCyw9pX23PlFDIZfeomna4pLywslL92796NoKAg/PTTT0hLS0N6ejp27NiBxx57DDt37jTICyAi0qpEID89/DyGrD6FhMQ0rYcnpmbjdGI6ziSlqy1vdiYpHReSM5GUdg9AUcNiycBdtCyaVOp+Iku2a9cuPPXUUxrbe/fujb1795qgRERUo5QI5IljEnH6RqbW+vx0Yjq6zNuP/ssOod/SQ7iTlQfg4cop/ZcdUlt5hcgc6X1N+bhx4/DZZ5+hS5cu8rbevXvD0dERb7zxBv7880+DFpCICIDWHvLNP10uc4iaLsufcXkzIk0eHh744Ycf8M4776htj42NhYeHh4lKRUQ1gpYe8i7vPez4K60+t7GSkF8otK6csvC51kYrLpEh6B3KL126BKVSqbFdqVTi6tWrhigTEZG6EoH8zPALwK08tdbywW38NIaoRYcHYeJ3p1hJE+lpxowZGDFiBA4cOCBfU37kyBHs3LkTX375pYlLR0QWq5Qh67rU5w09ndVCukrsqBC09NXMLkTmRO9Q3q5dO4wbNw5ff/01vL29AQDJycl4++230b59e4MXkIhquBKBvEnOGuR+dhxA+b3fYcG+rKSJKmD48OFo1qwZPv74Y8TExEAIgebNm+O3335Dhw4dTF08IrJEZcyyrkt9fiYpHQBXTqHqSe9QvmrVKgwcOBD169dHvXr1AADXrl1D48aNzW7iFyKq5rQMWZ935k6ZreVjuzfCkBVHNGZlZSVNpJ8OHTrgm2++MXUxiKgm0GPZs9Lqc66cQtWZ3qG8YcOGSEhIwJ49e/DXX3/Jrec9evTQeX1TIqJylTLLenmt5d//kah2nTkraaKKuXTpElavXo3Lly8jOjoanp6e2LlzJ+rWrYsWLVqYunhEZCl0DOTl1efeSgccmtxNXjllaPt6XDmFqg2dlkQrTU5ODhQKhVmHcS6TQlQNlbPs2ZmkdPRbekijlTw6PAgzt5/TWArFSWGNgEecuLwZmQ1zr5sOHjyIPn36ICQkBL/88gv+/PNPNGjQAPPnz8fRo0fx/fffm7qIasz9/SSiUujRQw5wuVKqXgy+JFpxhYWFmDlzJnx9feHs7IwrV64AAKZOnYqVK1dWrMRERCo6rEOuai0P9FVi9sCW8vZxG09qXQrlyUUHubwZkR4mT56MWbNmYc+ePbCzeziqpFu3boiLi9PrXL/88gv69+8PHx8fSJKk9VK3P//8EwMGDIBSqYSLiws6duyIa9euVfZlEJE50zOQA1yulCyX3qF81qxZWLNmDebPn69WUQcGBlZqRtaoqChIkoRx48bJ24QQmD59Onx8fODg4IDQ0FCcPXu2ws9BRGZOh0AOPByitmVUCIZ1qI+Pnm8Na6uiSlrbdebR4UFGLTaRpTl9+jQGDhyosb127dpISUnR61xZWVlo3bo1li1bpnX/pUuX0KVLFzRt2hQHDhzAqVOnMHXqVNjb21eo7ERUDVQgkBNZMr1D+bp167BixQoMGzYM1tYP/3hatWqFv/76q0KFOHbsGFasWIFWrVqpbZ8/fz4WL16MZcuW4dixY/Dy8kLPnj1x9+7dCj0PEZkxHQO5SvHW8oGP+WHLqBCtx8WOCkFYsK9Bi0pk6VxdXXHz5k2N7SdOnICvr35/T3369MGsWbMwaNAgrfunTJmCp59+GvPnz0dwcDAaNGiAvn37wtPTs0JlJyLzkJCYhiErjiAhMU19BwM5kQa9Q3lSUhIaNmyosb2wsBD379/XuwCZmZkYNmwYvvjiC7i5ucnbhRCIjo7GlClTMGjQILRs2RJr165FdnY21q9fr/fzEJEZ0xLIE/7N1VqZl1rJP6Ca4kJ1+/e/d8s8nog0DR06FO+++y6Sk5MhSRIKCwvx22+/YeLEiXj55ZcN9jyFhYX48ccf0bhxY/Tu3Ruenp7o0KFDuau55ObmIiMjQ+2LiMxLTHySPPGqzAiBvLzPBUTVgd6hvEWLFvj11181tn/33XcIDg7WuwCjRo1C37590aNHD7XtV65cQXJyMnr16iVvUygU6Nq1Kw4fPlzq+VhRE1UzpfSQa63MUUolD83rzAN9lajtrMDhSylajyei0s2ePRv16tWDr68vMjMz0bx5czzxxBPo3Lkz3n//fYM9z61bt5CZmYm5c+fiqaeewu7duzFw4EAMGjQIBw8eLPVxUVFRUCqV8lfdunUNViYiqrjE1GycTkzHmaR0bDt1AwCw7dSNojXEjdRDXtrnAqLqRO8l0aZNm4aXXnoJSUlJKCwsRExMDM6fP49169Zh+/btep3r22+/RXx8PI4dO6axLzk5GQBQp04dte116tTBP//8U+o5o6KiMGPGDL3KQUQmUiKQJ466jNR/8yBJeWqV+eONHkHGvXwoHWzUtg9u4wchADcnW/i5OcpLoSSl3UOgjxIFQuC1tcdLPZ6ItLO1tcU333yDmTNnIj4+HoWFhQgODkajRo0M+jyFhYUAgGeeeQbjx48HAAQFBeHw4cP47LPP0LVrV62Pi4yMxIQJE+T7GRkZDOZEZqDLvP3y96q1me5k5aHlF/XUD6xkIE9MzUZq1n1IEsr8XEBUXegdyvv374+NGzdizpw5kCQJH3zwAR577DFs27YNPXv21Pk8169fx//93/9h9+7dZU7mUnK5NSFEmUuwsaImqia09JB3mfqzfLd4ZT7iQbAuub34WuVX5/aVZ2Et7UNByeOJSLsPP/wQEydORIMGDdCgQQN5+71797BgwQJ88MEHBnmeRx55BDY2NmjevLna9mbNmuHQoUOlPKpo5JxCoTBIGYjIcKLDgzDxu1PILxTyhKtX7IeqH2SAHnLW82Rp9B6+DgC9e/fGwYMHkZmZiezsbBw6dEhtmLku/vjjD9y6dQtt2rSBjY0NbGxscPDgQXz88cewsbGRe8hVPeYqt27d0ug9L06hUKBWrVpqX0RkZkoZsh4dHgSbUmZRR4n7Zc2uXtZ5Sh7Pa9GINM2YMQOZmZka27Ozsw06Gs3Ozg7t2rXD+fPn1bZfuHAB9evXN9jzEFHVCAv2RWyxiVevlhPIK1oH61PPE1UHeofyBg0aaF0OJS0tTa01vTzdu3fH6dOncfLkSfmrbdu2GDZsGE6ePIkGDRrAy8sLe/bskR+Tl5eHgwcPonPnzvoWm4jMRRmzrJeszIsrrYLVNrt6WecpeTyvRSPSVNqotFOnTsHd3V2vc2VmZsr1PFA0Z8zJkyfldcjfeecdbNy4EV988QUuXryIZcuWYdu2bRg5cmSlXwcRmU7JQH5mxBWNHvKK1sH61PNE1YHew9evXr2KgoICje25ublIStL9D8rFxQUtW7ZU2+bk5AQPDw95+7hx4zBnzhw0atQIjRo1wpw5c+Do6IihQ4dqOyURmTs9lj2TJECIh7clt6v8/e9dtPRVap6gjPPwWjQi7dzc3CBJEiRJQuPGjdWCeUFBATIzM/G///1Pr3MeP34c3bp1k++rLjGLiIjAmjVrMHDgQHz22WeIiorC2LFj0aRJE2zevBldunQxzIsioirl4WynEcg7WG9CbK2i+t7QdXBpnxeIqhOdQ/nWrVvl73ft2gWl8uGH4IKCAuzbtw/+/v4GLdykSZNw7949jBw5EqmpqejQoQN2794NFxcXgz4PEVUBHQO5ahZ1b1d7hLeri43HruNmWg4CHnFU2754zwWkZOYh7nIKBj7mp/N5PJzt0ClK+7XrvBaNarro6GgIIfDqq69ixowZanW9nZ0d/P390alTJ73OGRoaClHOJ+VXX30Vr776aoXKTETmxfsjL7X7YmoKfhGSwed9KaueJ6puJFFeTfmAlVXRSHdJkjQqV1tbW/j7+2PRokXo16+f4UtZCRkZGVAqlUhPT+f15USmokcPOQDk5hfAztpK/n+TV1AIhY01Lt/ORGZuPqwkCRGrjiIlKw8eTnZY+2p7tdb1hMQ0RO34CxN7N8Zj9dw0zhN7IkmeiKYkGysJC59rzaFvZFTmXjcdPHgQISEhsLHRe0CdSZj7+0lUY+iw7Jkh6+DSPi8QmQN96iada1vVsiUBAQE4duwYHnnkkcqVkohqBj0DOQC1ClWSHrauP7no4brFZbWuq65R23bqJtrUd9c4T1iwLxp6Oqs9TiV2VEiZw+GJaoKsrCzs27cPvXv3Vtu+a9cuFBYWok+fPiYqGRGZLR3XITdkHVza5wWi6kbvid6uXLnCQE5EuqlAIC9LWbOtWkvA2z0b40xSuto1ameS0nE6MR2Jqdlaz6m6ZLaMlRaJapzJkydrnT9GCIHJkyeboEREZNZ0DOQlsQ4mKqL3uLSxY8eiYcOGGDt2rNr2ZcuW4eLFi4iOjjZU2YioOjNwIAfKbl0vEMCiPRewaM8Fna5R47VoRKX7+++/NdYOB4CmTZvi4sWLJigREZmtCgRy1sFE6vQO5Zs3b1ab9E2lc+fOmDt3LkM5ERklkJdUcrbVt3s1xpK9fyO/UGhds3Thc63VHu+tdMChyd3ka9GGtq/Ha9GIHlAqlbh8+bLGBK4XL16Ek5OTaQpFROangj3krIOJ1Ok9fD0lJUVtNlaVWrVq4b///jNIoYioGjNSIE9ITMOQFUdw624OajsrEOirxOyBLRHoq0RtZwUGt/HTe81ShY21vOQTr0UjemjAgAEYN24cLl26JG+7ePEi3n77bQwYMMCEJSMis1HBQK7COpjoIb17yhs2bIidO3di9OjRatt/+uknNGjQwGAFI6JqyIg95KrJ25p4uZTaup6SmQeAa5YSVdaCBQvw1FNPoWnTpvDzK1pyMDExEY8//jgWLlxo4tIRkcnN9la/r2cgJyJ1eofyCRMmYPTo0bh9+zaefPJJAMC+ffuwaNEiDl0nqsmMEMgTU7ORmnUfkgS1ydsGt/FTWwJN1brOa9SIDEOpVOLw4cPYs2cPTp06BQcHB7Rq1QpPPPGEqYtGRKa26ingfrHJUxnIiSpN53XKi1u+fDlmz56NGzeKPiT7+/tj+vTpePnllw1ewMri2qVEVcBIPeT+k3+Uv5dQdI246lal+ORtANcspeqBdZNh8f0kqiKrngKuxT28/0EqYKV+NezmP65jxrZzmNa/OZ5tU7eKC0hkPoyyTnlxb731Ft566y3cvn0bDg4OcHZ2rlBBicgCGDiQJySmIWrHX4h8uimiw4Mw8btTOk/eBnDNUqKK+vjjj/HGG2/A3t4eH3/8cZnHllyBhYhqAB0COQB8+esVZOTk48tDVxjKiXRUoVCuUrt2bUOVg4iqIyP0kKuuHY+JT8L0AS1KXQItdlQIWvpqTjpJRBXz0UcfYdiwYbC3t8dHH31U6nGSJDGUE9U05QTy41fv4Pqde5Ak4K/kuwCAv27eReyJJAgB1HV3QFt/96ouNVG1oVMof+yxx7Bv3z64ubkhODhYnilRm/j4eIMVjojMmAEDeVnXjl+8lQmAk7cRGduVK1e0fk9ENZwOPeSDP4tDSQLAuI0n5fslLzcjood0CuXPPPMMFAoFACAsLMyY5SEiM1R8SHkrP1eD95B3mbdf/l7V5HcnK0+thzzQV8nJ24iIiKqSjkPWX+xQD1//fq3U07zYoZ4xSkdkMSo00Vt1wslfiCpv+tazWHP4KoZ39sd0qy8NPmQ99kSSfO14STZWEqIGBWJwGz9O3kYWwxzrpgkTJuh87OLFi41YEv2Z4/tJVO2VE8hLNtjHnkhS6xlXiQ4PQliwbxUUmMi8GH2iNyKyfNqGlLc8MR0Qux8eZKBZ1sOCfXW+dpyTtxEZx4kTJ9Tu//HHHygoKECTJk0AABcuXIC1tTXatGljiuIRUVXSoYe8+Bwwrfxcq7Z8RBZGp1Du5uZW5nXkxd25c6dSBSIi81BySPksm5UYLPbJ25rkrMF5AwTyknjtOJFp7N//8G9+8eLFcHFxwdq1a+Hm5gYASE1NxSuvvILHH3/cVEUkoqpQSiBPSEzD9C1n8WKn+mhcx0VjDpiCwkIAgIOtNXq1qIPdZ/9FTn4BAh5xNMWrIKpWdArl0dHR8vcpKSmYNWsWevfujU6dOgEA4uLisGvXLkydOtUohSSiqld8ObKZNivxos3DQN4iby3mhbcz6PN5ONuhtrMC3q72vHacyMQWLVqE3bt3y4EcKGqgnzVrFnr16oW3337bhKUjIqMpo4c8Jj4J8dfTEH89DUDpc8CcndELVlZWKCwsRFZeAVzsbQ1aRI15bogsgE6hPCIiQv7+2WefxYcffojRo0fL28aOHYtly5Zh7969GD9+vOFLSURVTjWk/OTyV9QCeZOcNdg8ppvBlyPzVjrg0ORusLO2giRJGNq+Hq8dJzKRjIwM/Pvvv2jRooXa9lu3buHu3bsmKhURGZWWQJ6YniNfyvZDfKLa4aLErY2VhIXPtYbVgxBvZWUFF/vSr0GvKA6bJ0uk9zXlu3btwrx58zS29+7dG5MnTzZIoYjIPHgfeg8tiwXyprlrkAvj9VwXD+C8dpzIdAYOHIhXXnkFixYtQseOHQEAR44cwTvvvINBgwaZuHREZHCl9JAXv5StPCXngCmpMmG6rKVThQDcnGzh58Zh8lR96R3KPTw88MMPP+Cdd95R2x4bGwsPDw+DFYyITGz7eHj8+bV899teR9E4/naFhpRzqBlR9fLZZ59h4sSJePHFF3H//n0AgI2NDUaMGIEFCxaYuHREZFBlDFn/oF9zzP7xHArKmOOlrDlgDBWmdVk6leugU3WmdyifMWMGRowYgQMHDsjXlB85cgQ7d+7El19+afACEpEJlFiHXLx3Ey/YOSK8U+MKDSnnUDOi6sXR0RGffvopFixYgEuXLkEIgYYNG8LJycnURSMiQypnlvUPt58r9xSBvspSG+wNFaaLz3NT2rB5ourMqvxD1A0fPhyHDx+Gq6srYmJisHnzZiiVSvz2228YPny4EYpIRFWqRCDHlGRIdkWt2PoMKU9MzcbpxHScSUpXax0/k5SO04npSEzNNnjRiciwbt68iZs3b6Jx48ZwcnKC4JIIRJZDh2XPosODYF3KCkxWD/ZvGRWCQ5O7wVupuSJLdHgQbKyKHq8tTEeHB+lU1LBgX8SOCtG6L3ZUCNdBp2qvQuuUd+jQAd98842hy0JEpqYlkFd0HXJt16GlcKgZUbWQkpKC559/Hvv374ckSfj777/RoEEDvPbaa3B1dcWiRYtMXUQiqgwdAjlQFIZdHW0xfPUxzVO80g6hTTwBoNQGe9WkscXrfpXyrkEvDZdOJUukd085AFy6dAnvv/8+hg4dilu3bgEAdu7cibNnzxq0cERUhQwYyAH11vGS9GkdJ6KqN378eNja2uLatWtwdHx4vWd4eDh27txpwpIRUaXpGMhVHnFWAHg4/Fwqsb2qqJZODfRVYvbAlgj0VaK2s4JLp5JF0DuUHzx4EIGBgfj999+xefNmZGZmAgASEhIwbdo0gxeQiKqAgQM5ALT1d8OCwdqv8VowuDXa+rtp3UdEprd7927MmzcPfn5+atsbNWqEf/75x0SlIqJK0zOQAw/DsLtTUfh1d7LTOQwnpmbj9t1cuDnawvpBQ721lQQ3R1vcvpur16VsqqVTt4wKwbAO9cscNk9U3eg9fH3y5MmYNWsWJkyYABcXF3l7t27dsGTJEoMWjoiqgBECOaB9+LrK+E0nAXD4OpG5ysrKUushV/nvv/+gUFRt7xgRGUgFArlq9vQVL7fBiDVFQ9iFEFgR0Rb/3c1DQaEoc/Z0bZ8FCgoFUrPv45UH59PnswCXTiVLpXdP+enTpzFw4ECN7bVr10ZKSopBCkVEVcRIgRxQTQ6jfZ+1BA5fJzJjTzzxBNatWyfflyQJhYWFWLBgAbp162bCkhFRhVQgkANFobr/skMY+OlhpGYXLY+Ymn0fAz89jP7LDpW7jjkvZSPSjd495a6urrh58yYCAgLUtp84cQK+vpz5kKjaMGIgB8qe3GXL6C4VmtyFiKrGggULEBoaiuPHjyMvLw+TJk3C2bNncefOHfz222+mLh4R6aOCgRyo/FJkxpjojcgS6d1TPnToULz77rtITk6WW85/++03TJw4ES+//LIxykhEhmbkQA4UDXm7eCtT676LtzK5JBqRGWvevDkSEhLQvn179OzZE1lZWRg0aBBOnDiBRx991NTFIyJdVSKQA2UvRbZgcCu9liJTraxWygprRDWa3j3ls2fPxvDhw+Hr6wshBJo3b46CggIMHToU77//vjHKSESGVAWBHCj7mvJxG08C4DXlRObo/v376NWrFz7//HPMmDHD1MUhooqqZCBXuZWRo3V7zIkkNPR0gZuTbZnXlasmivN2tUd4u7rYeOw6bqblcNZ0omIkIXRf4U8IgWvXrqF27dpITk5GfHw8CgsLERwcjEaNGhmznBWWkZEBpVKJ9PR01KpVy9TFITKtKgrkABB7Ikke8laSasibPi3sRJbE3Oum2rVr4/Dhw2Zbt5dk7u8nUZUzUCAHAP/JP5Z7zKF3u5UZzHPzC2BnbQVJkiCEQF5BISdpI4unT92k11+nEAKNGjVCUlISGjRogMGDB+P555+vNpU2UY1WhYEcKHvIW+yoEAZyIjP28ssvY+XKlaYuBhFVhAEDOaDbxKzlTfimsLGG9GDcOmdNJ9Kk1/B1KysrNGrUCCkpKQziRNVJiUB+evh5BJYSyBMS0xC14y9EPt0UrfxcdX6Ksh4nSYAQD2+JyLzl5eXhyy+/xJ49e9C2bVs4OTmp7V+8eLGJSkZEZTJwIAeKGtmv38nGoj0XtO7XZcI3Iiqb3n+l8+fPxzvvvIMzZ84YozxEZGglAnmTnDXYnFD68oUx8UmIu5yCmPgkvZ5G2+NU15EF+ioxe2BLBPoqUdtZwevIiMzcmTNn8Nhjj6FWrVq4cOECTpw4IX+dPHnS1MUjIm2MEMhVujX1LHUfR78RVZ7eE729+OKLyM7ORuvWrWFnZwcHB/Xetjt37hiscERUSSUCeWerb5ALCdtO3cDgNn4QAnBzsgUApGbdhyQB207dAACNY7RdK5aYmq3xuK+P/IPWfkp58pdDk7vJ15ENbV+P15ERVQP795c9FJWIzIwRAzlQ1Mju5mgrr1VORIaldyiPjo42QjGIyOC09JDnoeh6rjtZeVrXDAUA1UolJY/RNlN68WvIVI/LLxQYv+mU1sfxOjKi6uf69euQJAl+fn6mLgoRaWPkQA4A3koHxI4KwbOfHoaPmwOeb+uHb49dx7/puRz9RmQAeofyiIgIY5SDiAypRCBvkbcWubCV76su6y5+HZhqpnRRxjElRYcH4e1NJ1EgHh6vYi0B43o0RmJqdpkzshKR+cnPz8eMGTPw8ccfIzMzEwDg7OyMMWPGYNq0abC1tS3nDERUJaogkKvU93DCb5FPyqPfhnWoz9FvRAZSob/agoICfP/995g5cyZmzZqFzZs3Iz8/39BlI6KK0DLL+sZR3bQeqroOrKIzpYcF+6KglInbCgSwaM+FcmdkJSLzM3r0aKxYsQLz58+XryWfP38+Vq5ciTFjxuh1rl9++QX9+/eHj48PJElCbGxsqce++eabkCSJo/KIdFGFgVyFs6gTGYfePeVnzpzBM888g+TkZDRp0gQAcOHCBdSuXRtbt25FYGCgwQtJRDoqddmzPAC6zYKu70zpb/dqjEW7OSMrkSXZsGEDvv32W/Tp00fe1qpVK9SrVw8vvPACPvvsM53PlZWVhdatW+OVV17Bs88+W+pxsbGx+P333+Hj41OpshPVCCYI5ERkPHqH8tdeew0tWrTA8ePH4ebmBgBITU3F8OHD8cYbbyAuLq6cMxCRUZSxDrlqFnRvV3uEt6uLjceu42Zajtp1YLoco83gNn5Y+esVpN3TnPwldlQIWvoqDfP6iKjK2Nvbw9/fX2O7v78/7Oz0u360T58+auFem6SkJIwePRq7du1C376a81cQUTEM5EQWR+9QfurUKbVADgBubm6YPXs22rVrZ9DCEZGOygjkQNEELeXNgq7LMdp4Kx2w6pW2GPRpHNcjJ7IQo0aNwsyZM7F69WooFAoAQG5uLmbPno3Ro0cb9LkKCwvx0ksv4Z133kGLFi10ekxubi5yc3Pl+xkZGQYtE5HZYiAnskh6/xU3adIE//77r8b2W7duoWHDhgYpFBHpoZxArqLLdWC6HJOQmIYhK44gITFN3uatdOB65EQW5MSJE9i+fTv8/PzQo0cP9OjRA35+fti2bRtOnTqFQYMGyV+VNW/ePNjY2GDs2LE6PyYqKgpKpVL+qlu3bqXLQWROtNW1DORElkvvnvI5c+Zg7NixmD59Ojp27AgAOHLkCD788EPMmzdPrbW6Vq1ahispEWnSMZAbUkx8EuIupyAmPgmt/FwBVLyXnYjMk6urq8b138YIvn/88QeWLFmC+Ph4uUFQF5GRkZgwYYJ8PyMjg8GcLIpGXVsFgTwhMQ1RO/5C5NNN5fqdiKqG3qG8X79+AIDnn39erkDFg3Gq/fv3l+9LkoSCggJDlZOISqrCQJ6Ymo3UrPuQJGDbqRsAim4Ht/GDEICbk63asmeckZWoelu9enWVPM+vv/6KW7duoV69evK2goICvP3224iOjsbVq1e1Pk6hUMjD6oksRWl17TtJ/wenf489PNDAgTwhMQ1TfjiDG2n3kJKVp9boTkRVQ+9Qvn8/lzciMrkq7iEvvqyZqi/rTlYe+i09JG+/OpeTMxGRfl566SX06NFDbVvv3r3x0ksv4ZVXXjFRqYhMQ1td+9n9KXD69/zDgwwcyBNTs7Hil8s4nZQubyur0Z2IjEPvUN61a1djlIOIdGWCIevR4UGY+N0p5BcKqOZvU91y2TMiKktmZiYuXrwo379y5QpOnjwJd3d31KtXDx4eHmrH29rawsvLS152laimKFnXbrKbgXZWDwN57IAzCDNQIE9Mzcb5m3cxYt1xjX0pbHQnqnJ6h3IiMiETBHIACAv2RUNPZ7VKWoXLnhFRWY4fP45u3brJ91XXgkdERGDNmjUmKhWR+Sle126ym4H2xQL5mdeuIszPrYxH66d4r3xZosODDPacRFQ6hnKi6sJEgbwkLntGRPoIDQ2V557RRWnXkRPVFCUDeUDO19gmGXZSt+jwIEzYdBKFZfxpvt2rMcKCfQ36vESkHUM5UXVgBoHcw9kOtZ0V8Ha1R3i7uth47DpupuVw2TMiIiIDafzjc7ArFsif8diGR9LzDF7XljUCTqVbE0+DPicRlc6goTwjI4PLoBEZmhkEcoDLnhHVBPfu3cO+ffvklVYiIyORm5sr77e2tsbMmTNhb29vqiISWa5VT8Huxu8P73+QilhJMkld6+pgy0Z3oiqk81iYhQsXlrk/IyMDvXr1qnSBiKgYMwnkKgoba3kpRC57RmR51q1bh88//1y+v2zZMhw+fBgnTpzAiRMn8PXXX2P58uUmLCGRhSplHXJj1rUeznZwd7SDjZUEH1d7+Lraw8ZKgruTHbaMDoG30nSfN4hqGp17yqdOnQoPDw+tS5RkZmaid+/eyMjIMGjhiGo0MwvkRGT5vvnmG4wfP15t2/r169GgQQMAwNdff41PPvlE4xgiqoRSArmhJCSmIWrHX4h8uqna+uPeSgfEvfckhBBy8M/NL2CjO5EJ6PwX/9VXX2HkyJGIjY1V256ZmYlevXrhzp07XMOcyFAYyInIBC5cuIDGjRvL9+3t7WFVLBy0b98e586dM0XRiCyTkQM5AMTEJyHucgpi4pM09ilsrGFvawNJkiBJEuxtbRjIiUxA557ywYMHIy0tDUOHDsWPP/6Ibt26ITMzE0899RT+++8/HDx4EHXq1DFmWYlqBgZyIjKR9PR02Ng8/Ghw+/Zttf2FhYVq15gTUSUYMZAnpmYjNes+JAnYduoGgKLbwW38IATg5mQLPzdHgzwXEVWeXhO9vfbaa7hz5w7CwsKwZcsWTJ06FcnJyTh48CC8vb2NVUaimoOBnIhMyM/PD2fOnEGTJk207k9ISICfn18Vl4rIAhkxkCckpmHAst/k+9KD2ztZeWqzrV+d29cgz0dElaf3X/+kSZMwcuRIdO/eHTdu3MCBAwfg68s1DIkqjYGciEzs6aefxgcffICcnByNfffu3cOMGTPQty8/yBNVig6BPCExDUNWHEFCYprep1cNU38wLytUS5Grbm2sJESHB+l9XiIyHp17ygcNGqR239bWFo888gjGjh2rtj0mJsYwJSOqSSw0kJc2uQwRmaf33nsPmzZtQpMmTTB69Gg0btwYkiThr7/+wrJly5Cfn4/33nvP1MUkqr507CEvfh24LvWntuHqtRQ2SM/J1zg2dlQIWvoqK/wSiMjwdA7lSqX6H++QIUMMXhiiGslCAzmg/4cKIjKtOnXq4PDhw3jrrbcwefJkCFHUtyZJEnr27IlPP/2U88cQVVQ5gbwy14F3mac52XLJQC5JgBAahxGRGdA5lK9evdqY5SCqmSwwkHNyGaLqLSAgADt37sSdO3dw8eJFAEDDhg3h7u5u4pIRVWM69JAXD9b6XgceHR6Eid+dQn6h9tT9XBs/nP/3Lm6m5cDD2a5ir4GIjEavid6IyIAsMJADlftQQUTmw93dHe3btzd1MYiqPx2HrBcP1tquA1/4XOtSn6KtvxsWPtca4zae1Nj30fOt0S7AHb6uDsgrKOSSZ0RmiKGcyBQsNJADlftQQUREZFH0mGU9LNgXDT2d1RqxVcq7Dlzb8HWV8ZtOAShqEGcgJzJPhll7gYh0Z8GBHCj6UBE7KkTrvthRIQgL5moNRERUA1Ri2TPVzOmq2/JEhwfB2kr7wdacbZ3I7DGUE1UlCw/kJen7oYKIiMgilAjkCSOu6BTIPZztUNtZgUBfJWYPbIlAXyVqOyvKvQ48LNgXW0ppEN/CBnEis8fh60RVpQYFctWHCm9Xe4S3q4uNx65zchkiIqoZSgTygJyvEXHiJlrVLX+yRG+lAw5N7gY7aytIkoSh7evpfR24apZ1zrZOVH0wlBNVhRoUyAHDfKggIiKqdkoE8rZWmyCQr9cqJMXrSkmSdK472SBOVH1JQlh2G1pGRgaUSiXS09NRq1YtUxeHaqIaFsiJqHysmwyL7yeZBS095IAVBIpWIyn+gdtYq5Dk5hfIDeJCCDaIE5mQPnUTe8qJjImBnIiIyPKVCOSN8r6BwMMJVapqFZKK9rITkWlxojciY2EgJyIisnxaZln/YdTjWg/lKiREpA1DOZExMJATERFZvnKWPeMqJESkC5OG8uXLl6NVq1aoVasWatWqhU6dOuGnn36S9wshMH36dPj4+MDBwQGhoaE4e/asCUtMpAMGciIiIstXRiCv6NJmRFQzmfSacj8/P8ydOxcNGzYEAKxduxbPPPMMTpw4gRYtWmD+/PlYvHgx1qxZg8aNG2PWrFno2bMnzp8/DxcXF1MWnUg7BnIiIiLLV04POVchISJ9mN3s6+7u7liwYAFeffVV+Pj4YNy4cXj33XcBALm5uahTpw7mzZuHN998U6fzcUZWqjIM5ESkI9ZNhsX3k6pUOYGciAjQr24ym/8gBQUF+Pbbb5GVlYVOnTrhypUrSE5ORq9eveRjFAoFunbtisOHD5d6ntzcXGRkZKh9ERkdAzkREZHlYyAnIiMw+X+R06dPw9nZGQqFAv/73//www8/oHnz5khOTgYA1KlTR+34OnXqyPu0iYqKglKplL/q1q1r1PITMZATERHVAAzkRGQkJv9P0qRJE5w8eRJHjhzBW2+9hYiICJw7d07eL5WYrlIIobGtuMjISKSnp8tf169fN1rZiRjIiYiIagAGciIyIpP/N7Gzs0PDhg3Rtm1bREVFoXXr1liyZAm8vLwAQKNX/NatWxq958UpFAp5NnfVF5FRVFEgT0hMw5AVR5CQmGbwcxMREVE5GMiJyMjM7j+KEAK5ubkICAiAl5cX9uzZI+/Ly8vDwYMH0blzZxOWkAhV2kMeE5+EuMspiIlPMsr5iYiIqBQM5ERUBUy6JNp7772HPn36oG7durh79y6+/fZbHDhwADt37oQkSRg3bhzmzJmDRo0aoVGjRpgzZw4cHR0xdOhQUxabaroqCOSJqdlIzboPSQK2nboBoOh2cBs/CAG4OdnCz83RoM9JRERExTCQE1EVMWko//fff/HSSy/h5s2bUCqVaNWqFXbu3ImePXsCACZNmoR79+5h5MiRSE1NRYcOHbB7926uUU6mU0U95F3m7Ze/V82gcCcrD/2WHpK3X53b1+DPS0RERGAgJ6IqZXbrlBsa1y4lg6nCIeuxJ5Iw8btTyC/U/PO0sZKw8LnWCAv2NcpzE5HxsW4yLL6fZFAM5ERkANVynXIis1bFs6yHBfsidlSI1n2xo0IYyImIiIzBwgM5J48lMk+W81+GyFhMvOyZagXAMlYCJCIiosqy8EAOcPJYInNl0mvKicyeCQO5h7Mdajsr4O1qj/B2dbHx2HXcTMuBh7NdlTw/ERFRjWHBgZyTxxKZP15TTlQaE/eQA0BufgHsrK0gSRKEEMgrKITCxrpKy0BEhse6ybD4flKlWHAgBwD/yT/K30sARLFbFU4eS2R4vKacqLLMIJADgMLGGtKDceuSJDGQExERGZKFB3IAiA4Pgo1V0WcJVRBX3dpYSYgODzJFsYioGMv6r0NkCGYSyImILMEvv/yC/v37w8fHB5IkITY2Vt53//59vPvuuwgMDISTkxN8fHzw8ssv48aNG6YrMNUcNSCQA5w8lqg6sLz/PESVwUBORGRQWVlZaN26NZYtW6axLzs7G/Hx8Zg6dSri4+MRExODCxcuYMCAASYoKdUoNSSQl8TJY4nMEyd6I1JhICciMrg+ffqgT58+WvcplUrs2bNHbdvSpUvRvn17XLt2DfXq1auKIlJNUwMDOSePJTJvDOVEAAM5EZGZSE9PhyRJcHV1LfWY3Nxc5ObmyvczMjKqoGRkEWpgIAcAb6UDDk3uJk8eO7R9PU4eS2RGLP+/EFF5GMiJiMxCTk4OJk+ejKFDh5Y5U21UVBSUSqX8Vbdu3SosJVVbNTSQq3DyWCLzVXP+ExFpw0BORGQW7t+/jxdeeAGFhYX49NNPyzw2MjIS6enp8tf169erqJRUbdXwQE5E5o3/jajmqmQgT0hMw5AVR5CQmGb4shER1SD379/H888/jytXrmDPnj3lrueqUChQq1YttS+iUjGQE5GZ438kqpkM0EMeE5+EuMspiIlPMnDhiIhqDlUg//vvv7F37154eHiYukhkSRjIiaga4ERvVPNUIpAnpmYjNes+JAnYdqpoHd1tp25gcBs/CAG4OdnCz83RGKUmIqqWMjMzcfHiRfn+lStXcPLkSbi7u8PHxweDBw9GfHw8tm/fjoKCAiQnJwMA3N3dYWfHmaGpEhjIiaiakIQQwtSFMKaMjAwolUqkp6dzeBtVuofcf/KP8vcSAFHsVuXq3L6VLSURWbiaVDcdOHAA3bp109geERGB6dOnIyAgQOvj9u/fj9DQUJ2eoya9n6QjBnIiMjF96ib2lFPNYYAh69HhQZj43SnkFwo5iKtubawkLHyutUGKSkRkKUJDQ1FW+7+F9w2QKTCQE1E1w1BONYOBZlkPC/ZFQ09n9Ft6SGNf7KgQtPRVVqaUREREVBkM5ERUDfG/FFk+Iy179mCpT/mWiIiITMiIgZwrrhCRMTGUk2UzQiD3cLZDbWcFAn2VmD2wJQJ9lajtrICHMyckIiIiMgkj95BzxRUiMiYOXyfLZaQecm+lAw5N7gY7aytIkoSh7eshr6AQChvrSp+biIiI9GSkQM4VV4ioqjCUk2UyUiBXKR7AJUliICciIjIFI/aQd5m3X/5edaXanaw8tXlluOIKERkCh6+T5TFyICciIiIzYOQh69HhQbCxKorj2lZciQ4PMthzEVHNxp5ysiwM5ERERJavCmZZ54orRFRV2FNOloOBnIiIyPKZYNkzrrhCRMbEnnKyDAzkRERElq+KA7lqxRVvV3uEt6uLjceu42ZaDldcISKDYiin6o+BnIiIyPKZoIecK64QUVXg8HWq3gwQyBMS0zBkxREkJKYZtmxERERkGCYI5Crnk+9i6Be/IyExjSuuEJFRMJRT9WWgHvKY+CTEXU5BTHySAQtHREREBmHCQA7wcwIRGR+Hr1P1VMlAnpiajdSs+5AkYNupGwCKbge38YMQgJuTLfzcHA1daiIiItKHiQI5PycQUVViKKfqxwA95F3m7dfYlpKVp7bsydW5fStcRCIiIqokE/aQF/+coJpw/Q4/JxCRkXD4OlUvBhqyHh0eBBsr7eua2FhJiA4P0uk8vB6diIjICEw8ZL345wTxYJvqVp/PCUREumAop+rDgLOst/V3w4LBrbXuWzC4Ndr6u+l0Hl5nRkREZGAmDuQAEBbsi9hRIVr3xY4KQViwb5WWh4gsG4evU/Vg4GXPtA1fVxm/6SSA0oel8TozIiIiIzFAIE9ITEPUjr8Q+XRTtPJzrXSRJAkQ4uEtEZGhMZST+TPCOuTR4UF4e9NJFGipXK0lYNHzQaU+lteZERERGYGBesiLj2KrTCj3cLZDbWcFvF3tEd6uLjYeu46baTnwcLar8DmJiLRhKCfzZoRADhQNS2vo6awWpFW2jO6Clr7KUh8bHR6Eid+dQn6h0Hqd2cLntA+LJyIiolJUMpAbYxSbt9IBhyZ3g521FSRJwtD29ZBXUMh1yonI4BjKyXwZKZCXpO+wtLICfeyokDIDPREREZVggB5yY41iKx7AJUliICcio+BEb2SeqiCQq4alBfoqMXtgSwT6KlHbWaHXsDRJUr8lIiIiPRhoyDpnSyei6ow95WR+qqiHvDLD0nidGRERUSUZcJZ1jmIjouqMoZzMRkJiGv5dPxI9s398uNFIgVylosPSeJ0ZERFRJRhx2TPOlk5E1Q2Hr5NJJSSmYciKI0hITENu7DiDB/Li5zc0hY01pAfj1nmdGRERkY6MFMgNcVkaEZEpsKecTGpd3FXEXU5B+ndj8Hj6Vnn72VcuoPDfPLg5iUqt+W2oZVGIiIjIAEoE8hnBhzDNQD3kHMVGRNUVQzlVueLLlnz/RxJm2azE4+n75P1NctYgd/lx+b6+s6UaY1kUIiIiqpzcFT2huHFUvh+Q8zXcE5LxbNt6BqufOVs6/X979x4XVZ3/D/x1YGBAgfEODAiionhBoDA12dRKMw3XtZK0i2bt9lvRvKRfb5VYCuKWi6Vmban0MMt2Fa/lqiW4aqaICN5QU8wxCC9cVAS5fH5/0IwMDDAzwJwZeD0fDx405xzGNyfm8ZnXfG5EtoihnCyu8rYlixVf4CVFlUCOimFm5u753VjbohAREZGZ1g7XC+SdizZAwI7tMxEROKecZKDdtqS2QA5UrJY6OsTL7OcHuC0KERGR7KoMWfcr2oDyP96Csn0mImIoJxmMDvHCz0G7agzk9d3ze3SIF7ZGDjR4ztygT0RERGaoEshPvZ4JYeDtJ9tnImrOGMrJ8nbOQNuzG3QPKwfyyUO6NOhqqdqAX9+gT0RERCYytMq6VPHWk+0zEdEDDOVkWTtnAMlrdQ+fa7sF7/7lIQR6uaG9ixIv9/fFtsiBODh3CDxV5m+HZs62KFW3T2vM7dSIiIiatBq2PTO1fWZbTETNARd6I8upEsiL51zDv51aGty2pL6rpZqzLUrV7dO4nRoREZEZatmH3NT2mW0xETUHDOVkGVUCORZkQ+nwoCe8MbYtMWZbFEPbpyWcuIbgjq2QkKIBwO3UiIiIjFZLINeqq33m1qZE1NxIQghR92W2q6CgACqVCvn5+XBzc5O7nObJQCCHg/lD0xtSp7m7dP8t4cEqsJVVPc7tWoiovtg2NSzeTythRCA3hqG2mW0xEdkaU9omzimnxlVHIJd7rpih7dOq4nYtREREdWigQA5wa1Mian4YyqnxVAnk6RMzqvWQV54rVpPGDO61bZ9WFbdrISIiMsDMQF5T+27s1qZyf7BPRNRQGMqpUdz8JlIvkHcvWo/NaTcBVMwV25KiQfjHB5FwoiKM7zj5G05dy0e6Jh+a3EK95zImuDcE3fYsNRwnIiKiKurRQ25M+17b1mmWen9ARNTYGMqpwd3ZPBVtz1XfhzwhRYOtJ64hLHY/Zn57EunX8pF/rwQAcOvufTzz8UGErzyIsNj90OQWIl2Tj1PX8vUWeakpuNdH1e1ZAjxdIUlAgIer0dupERGRYQcOHEB4eDjUajUkScLWrVv1zgshEBUVBbVaDWdnZwwePBinT5+Wp1gyjRmB3Nj2vaat0+6XltX68/vOZLP3nIhsDhd6owajyS3E/a3T0fnKJt0xbSA3lsJOwgfPB2H6plTdMUss8lJcWqbbnkUIgTvFpXBRKnSP69pOjYjIFM2pbfr+++9x6NAhPPTQQ3j22WeRkJCA0aNH687HxsZiyZIlWL9+Pbp164bFixfjwIEDyMjIgKurq1H/RnO6n1bDzB5yYxZY1bbvVdvm+2Xl6P727mo/b+h5Jj7aCVGjehn72xARNTgu9EaySPzwpXoFcuDBXLGGWOTFlLlmSoU9pD/GxkmSBFcnB73HDOREROZ5+umnsXjxYowZM6baOSEE4uLisGDBAowZMwa9e/dGfHw8CgsLsXHjRhmqJaNUCeTjPb9H2m8FRv1obQusVm3fq7bNSoV9re8P7CUJLsqK9rqxRtcRETUGhnKqN01uIW5+E4mXFD/ojpkTyCszdpGX2nCuGRGRdbt8+TKys7MxbNgw3TGlUolBgwbh8OHDNf5ccXExCgoK9L7IQqoE8kUhB3H4cq7Rbe3oEC98+vLDBs998HwQurR3qTVE1/b+oEwI3C0uA1B9WhwRkTVTyF0A2b7ED1+qdyD37+CCvMISg/O2JQkQ4sH32mhyC5F7twSSBL25Zs897A0hgNYtHeDduoVJtRERUePIzs4GALi7u+sdd3d3x5UrV2r8uZiYGCxatKhRayMDqgTyU69nYvu6ZACmtbWvxScbPF556popU9QqD183NLrug+eDjH4uIiI5MJRTvZjaQ95SaY+7xWXVAvbysUHo5uGqN0xcu8iLZysnRPTtiE3HriIrr6jWBdcqfxquXahV+2m5VkPORSciovqTqiytLYSodqyyefPmYebMmbrHBQUF6NixY6PV11ykafIQ8905zBsRgD7erfRPVgnkfkUbIFYeNqutjQrviagdZwyeMyZEt3VxhJODHYpKyjGgc1vcvV+Kq7cKkVtYUu3arZED0dtLVevzERHJjaGczLdzhsFV1msTFxGM+VtOVQva7VyV1eZte6qccXDuEN0iL+Mf8alzwbW4iGDM+vdJlJYLflpORGTlPDw8AFT0mHt6euqO5+TkVOs9r0ypVEKpVDZ6fc1N5WlfeqG8SiDfOuoU7P+TbnZbO3GgH4I6tsJfVlefolBbiK48Gq6Fgz2KSspx/vfbWP9qX2Rk38as/6SZNLqOiMhaMJSTyfadyca9hGkIL3mwAmqv+/EohkO1FVAlAH8b1Bk/nM3BrTv30dtLZVLQrnzcmAXXRod4oWsHF71P67X4aTkRkXXx8/ODh4cH9u7di5CQEADA/fv3kZSUhNjYWJmrax7qmvbV7bvnoPzt6IMfeDcXo+3s0NXdrV5trYN9xbJGpoTomkbDha88pDse6KUyenQdEZG1YCgnk2VvnGxgyLoDgOorqQoAnyZd0j32VDnrnW/Mlc35aTkRkfzu3LmDixcv6h5fvnwZqampaNOmDXx8fDB9+nRER0fD398f/v7+iI6ORosWLTB+/HgZq24+apv29a3jIijtMh5cbGDbM3PbWnOmqNU1Gi5mTCCee9jb6NF1RETWgqGcaqWdX/ZaWCdk3ryL9knzzVrUzZJDx81p6ImIqHEkJydjyJAhusfaueATJkzA+vXr8X//93+4d+8eJk+ejNzcXPTr1w979uwxeo9yqp+agu63jovwSA2BPE2Th0U7TqOVswN82rYwq601Z4qaKaPhuJ0pEdkSSYim3YdoyqbtVF3U9tNYfzgTALBY8YXZq6zvnBpm0aHjxaVluoZeCMFPy4nIqrBtali8n/Vz6lq+XtCtLZADD94bvDzAF++N6mXRtlZba9Ueeku/zyAiqospbRN7yqmayvPLtqVW7Du61HEdXrBruH3IG5upc9GJiIiaO0kCNjkYDuSG5p5/l5aFiNCOFt1ylKPhiKgpYiinairPLwMqesjrE8hdlQo2lkRERFZKG3TX4130Kn0QyLOm/wbPP3rIrWXLUXOGvRMRWTu7ui+h5iYuIhgKu4omtz5D1gFgx5SBSH7nyWoLvBEREZF18FQ548e2MehVelp3rHjBDXi2aql7XPm9gaFF1uIigi1TLCpGw2n3sedoOCJqCthTTtWEdmqNfzwXhLtbphoVyCVUDHkrF9BtifZgrhcbSyIiIqu2djhcf09+8PjdXCirrLLOLUeJiBoPe8qpmrDY/UYH8rPvDcPZ95/Cj28NQjsXRwR6q7DkL70R6KVCexclh60TERFZKU1uIW58NAT49SfdsVC7b3Eq6zbSNfnQ5BYa/Lk/Oql13+dtSUeaJq+RqyUiarpkDeUxMTHo27cvXF1d0aFDB4wePRoZGRl61wghEBUVBbVaDWdnZwwePBinT5+u4RmpIRg7ZD0qvCecHR3g5KBAp3YuODT3cWyLHIgX+/liW+RAHJw7hMPWiYiIrFCaJg+//XMw2t1K0R3zK9qAm4WleObjgwhfebDaGjPaueeBXg8+gHdysEP6tXxsSblm6V+BiKjJkDWUJyUlITIyEkeOHMHevXtRWlqKYcOG4e7du7prli1bhuXLl2PlypU4duwYPDw8MHToUNy+fVvGypueNE0exqw6hOSVE40K5FsmD8DEgX56xzjHi4iIyPppcgvhED9Cb5V1v6INELDTzRO3t5Mwc2g3jPvsiK4XXLvI2qrxIejj1QpLRvdGC4eKtn7Hyd9w6lp+rT3sRERkmKxzynfv3q33eN26dejQoQOOHz+Oxx57DEIIxMXFYcGCBRgzZgwAID4+Hu7u7ti4cSPeeOMNOcpuctI0efjbl8cxpXAVQo1c1M3RnoGbiIjIlmi3Nbv32VCDgbyysnKBW3fv46dLN7El5Rr6eLcCUPEB/J+WJequk3MldiKipsKq5pTn5+cDANq0aQMAuHz5MrKzszFs2DDdNUqlEoMGDcLhw4cNPkdxcTEKCgr0vsgwTW4h0jX5WLHvAqYUrjJ6lXXOFSciIrIdaZo8jPvsCMJi9xsVyAHgpX4+uv3Iq/aCW9NK7ERETYHVrL4uhMDMmTMRFhaG3r17AwCys7MBAO7u7nrXuru748qVKwafJyYmBosWLWrcYpsATW6hbq6YqdueHZw7hEPTiYiIbMSWlGv46dJNfOu4yKhADgAbfv611l5wrsRORNRwrKanfMqUKUhLS8PXX39d7Zx2nrKWEKLaMa158+YhPz9f93X16tVGqdfWmRPIJVTsU8pATkREZN20o+FOXcvHjpO/mRTI/+gEN6oXvOpK7EREZDqr6CmfOnUqtm/fjgMHDsDb21t33MPDA0BFj7mnp6fueE5OTrXecy2lUgmlUtm4BTcB7z7TA8r/zsKL9sb3kC8M74nRIV6WKI+IiIjqofLK6aYEcpWTAivGhWDiumPVzlXuBdeuxO7ZygkRfTti07GryMor4vQ2IiIzyBrKhRCYOnUqEhISkJiYCD8//dW8/fz84OHhgb179yIkJAQAcP/+fSQlJSE2NlaOkpuE5MxbcNw9Cy+aMGQdADq1a9nYpREREVEDiIsIxqx/n8RGRZTRgRwA1k96BA72FeclCRDiwffKtCuxO9rbQZIkjH/EB/fLyjmajojIDLKG8sjISGzcuBHbtm2Dq6urbg65SqWCs7MzJEnC9OnTER0dDX9/f/j7+yM6OhotWrTA+PHj5SzdJqVp8jD73yfx8s0VRg1ZtwMwa3h3fJ+ehay8InT3cLVgtURERGSONE0eNh27iqR2S+FVUHsglwA4OdihU7uWuHH7PjxUTgBgVC945QDOrVCJiMwnCVH1s08L/uM1TEBat24dJk6cCKCiN33RokX49NNPkZubi379+mHVqlW6xeDqUlBQAJVKhfz8fLi5uTVU6TYnTZOH19YnY1rRaqPnkG/++wA87NsGQgh++k1E1IDYNjUs3k99UdtPY0Tyqyb1kF+OGaHX1heXlul6wfk+gIjIdKa0TbIPX6+LJEmIiopCVFRU4xfUBGlyC5GRdRsf/3jR6EDu7qZEeTmgbuUMgJ9+ExERWbt9Z7Kx4oeLGB2sRvjxSXjYyECusJPwwfNB1dp69oITEVmOVSz0Ro3D3G3P/t9jnTG+vy8bYCIiIhvx+pfHAQDvXJ9pdCAHuIUZEZE1YChvwszdh/wh39YM5ERERFZOk1uI3LslkCSghaM91uNdk4asExGRdWAob+JMDeQAENSxdWOXRURERPVk7rZnANC1gwvyC0u4hRkRkRVgKG9i0jR5iNp+Gr29VPjY5UuElxofyLXzyoiIiMj6mbvtGQD8c2wQunm4cmQcEZEVYChvYrakXEPKr3kY89uHCDexh5zzyoiIiGzH6BAvDD0yAS1/Ny6QSwC8WzujqKQc7VyVDORERFaCobwJqDynLOGExqwh60RERGQ70jR5sF8/Ar1KT+uO1dVDvmNqGHqp3bi9GRGRlWEobwIqzykzJ5B7tnJCaangvDIiIiIrlKbJQ8x35zBvRAAAIOa7c4i6MRPdKwXyoa5bIYoK63wubm9GRGR9uCRnExAXEQwJ5gXyhMmP4vCcx3Fw7hB4qpwbuVIiIiIy1ZaUa/jp0k18efgK3tt5GjM0b6L7/QeBPFB8jfH9fOHmpEB3dxfMHOoPhZ0EhZ2EmUP90cdbhfYuSn74TkRkpdhTbuPSNHn44uBlvG/mkHUHezt+ak5ERGRlKk9N25Z6DQDwnxRNDausCyzaeRYAUFB0B/99ohv+9lhnAICTgwJTH/fXDVmv3Ovex7uVxX8vIiKqjqHchmlyCxG37zwifl9uciAP8HDFzTv3+ak5ERGRFao8NU3LmG3P3n2mB4CKMK5V+cN3ba/7lpRrDOVERFaCodwGaXILcS77Nl6PTzZryPoHz/XBsw97c6EXIiIiKxUXEYwZm1Ih/nhs7D7k7+08i0lhnfWOVe5133HyNwAV35972BtCAK1bOsC7dYtG+12IiKh2DOU2SPvpuTmBfP2rfTG4ewcAYCAnIiKyMprcQuw+lY31hzJNDuT2EvDh2OBqxyv3ukt/fL919z6e+fig7njm0pENUT4REZmBC73ZoJlDu5m97Vk7F2VjlkZEREQmStPkYdxnR5CmyUNY7H4s3nUWmrx7AIwP5ADwxcS+GB3iVe14XEQwFHYVcVwb9LXfFXYS4iKCG+pXISIiMzCU2whtg735+FV4H1pgUiAf85AXOrVtgTYtHY2aQ175zQERERE1Lu087xX7zusdNyWQAzV/8D46xAtbIwcaPLc1cqDBIE9ERJbD4es24svDV/DTpZsIv/oPjLffpztuTA/5lpRruv82ZtszLgJDRETUuCrP8956oqKd/uHcdd15UwK5p0qJ0jIY9cG7JAFCPPhORETyYyi3YtoGO+d2Ef6TosFixRcYb2/6kHUAsJOA5QbmmVX9t7gIDBERUeMztLq6limBfMvkAQjp2LrOxVvbujiivYsSnq2cENG3IzYdu4qsvCLuwkJEZAUYyq1Y5Qa7rjnkT/dyx/mcO/jl+l2Dz7V9Shh6e6mM+re4CAwREVHjiosIxqx/n0RpuX53talD1h3t7fW2PKuJp8oZB+cOgaO9HSRJwvhHfLgLCxGRleCcciv2J/92AIxbZf3707/Xa6EWLgJDRERkGZrcQnRp74IFIwL0jhsbyB/t0gaBXm5o76I0qadbqagI8ACMCvJERGQZ7Cm3Mto9yG/fK0WaJt/oVdbjIoLRzlWJNi0dUXCvBO5uSgASfi8ogpuTQ52N9ugQL3Tt4KLXM661NXJgrb3sREREZDxDQ9dN6SGfP6Ineqnd2NNNRNREMJRbGVOGrGv97TE/3cqpP817HEIIXSNdXFpm8qfhXASGiIjIckwJ5C5KBdq6OLKnm4ioCeHwdRkZ2nps5lB/AMYHcgAYFfRgKxOlwh5ODgpIkgRJkuDkoDC60dYuAhPopcKSv/RGoJfK5KFxREREpK9ye5+ceQvDe3nozpkWyO2x680wo3ZSISIi28GechkZ2nrs1t0SkwI5YNwWKMbgIjBERCSH0tJSREVF4auvvkJ2djY8PT0xceJEvP3227Czs/3+g8rt/frDmbrjpgTyhc/0wPj+vmyTiYiaIIZyCzO09di21Gvo2LoFLl2/g54nFuJFEwL5ghEBDfqJeeXGnkPjiIjIEmJjY7FmzRrEx8ejV69eSE5OxquvvgqVSoVp06bJXZ5ZNLmFOHrpFtb/lIkrNyp2RklI0WBg17Y4dPGmyaus+7V3YZtMRNREMZRbmKGtx3ILS/D+rjNYrPjCpECeMPlRhPi0bqxSiYiILOKnn37Cn//8Z4wcWbH1ZqdOnfD1118jOTlZ5srMZ2gxt/yiUpMDeW8vN2TnF6G7h2uj1UpERPKy/TFhNsbQ1mOAaXPItRzs+b+PiIhsX1hYGH744QecP38eAHDy5EkcPHgQI0aMMHh9cXExCgoK9L6shSa3EOmafLw1tJvB86YE8riIYOyYEoZDcx/nPHIioiaMPeUWZmjrMXMCeZuWjlyAjYiImoQ5c+YgPz8fAQEBsLe3R1lZGZYsWYJx48YZvD4mJgaLFi2ycJXGMdRDrmVKIN85NUy3HSmHrRMRNW3sapWZqYHcVWmPxFmD8NM8fmpORERNw6ZNm7BhwwZs3LgRKSkpiI+PxwcffID4+HiD18+bNw/5+fm6r6tXr1q44ppVHhFXmalzyHMKihqlPiIisj7sKbewNE0eFu04DcC8HvL41x5Bp3YujVojERGRJc2ePRtz587FCy+8AAAIDAzElStXEBMTgwkTJlS7XqlUQqlUWrpMo3Ru3xI9PN2Qfi1fd8zUQA4Ak+KTkbl0ZKPVSURE1oOh3MLi9p3H8St5WOLwBV60N33IOnvHiYioqSksLKy29Zm9vT3Ky8tlqsh8W1Ku1TuQ29tJ+PD5oEarkYiIrAtDuQXsO5ONFT9cxOhgNX48d71ilXUTA/m0x7tg8uP+nFdGRERNTnh4OJYsWQIfHx/06tULJ06cwPLlyzFp0iS5SzOKdrvTizm3EW/mPuSVbYscqJtPTkRETR9DuQW8/uVxAED6tXyzhqy3buGAF/r5MpATEVGT9PHHH+Odd97B5MmTkZOTA7VajTfeeAPvvvuu3KUZxdDibuYGciIian4YyhuJ9lNzqdJaL6YGckkChADWTuzLYetERNRkubq6Ii4uDnFxcXKXYrQ0TR5ivjuH18I64YVQb3yTrNGdMzWQSwBmDPPHvjM5yMor4u4qRETNDEN5I6n6qbkxgfyvYZ2QcOI3qFs7I6JvR2w6dhVZeUXwUDlZpGYiIiIyzpaUa/jp0k38dOmm3nFzeshXvxiCpwPVmDrEH/fLyjkyjoiomWEobyTvPtMTS3adQZkwLpAr7IBJf+qMWcMD4GhvB0mSMP4RHzbOREREVqLyKLgdJ3+rdt7cIet//+oEMpeqIUkS23wiomaIobyRvLfzDADjh6yXlqPaEHU2zkRERNbD0NxxLXMDub0EfDg2uCHKIyIiG8UVRxqBJrcQgGlzyKPCe1qkNiIiIjJPXEQwFHZSteP1WdRt25QwjA7xarAaiYjI9rCnvBGExe43KZAvezYQY/v6WKo8IiIiMsPoEC/cLy3D/21O1x0zN5BrF3MlIiJiKG8E+wO2wS/T+FXWe6q5FykREZEtMDeQuyjt4WhvD+82+ou5cqV1IiJiKG9oO2fAL3OT7qGhQC4B0H443qqFAxtkIiIiG6DJLYS7qyN+v33f5B7yf0YE47Fu7bmYKxERVcNQ3pB2zgCS1+oe1hTIt/y9PwI83VBSJqB0sGeDTEREZMW0q66HrzwIwLQecr92zrh9rwy9vVR67T0XcyUiIi2G8npI0+Qh5rtzeO5hL7j9MAdDC3fpzoXZb4SzswO6tnbCuL4++Pa4Br/l3sPXf+sPf3dXAIBzTU9MREREVqPyquvGBvIZT3bBpLAucFEq2CNORES1Yiivhy0p1/DTpZsYf/2fGFqyW3e8ooccGBnYDm881hltXBzxYn9fNspEREQ26N1nemLJrjP42sH4HnI7yR6uTg4AwLafiIhqxVBuIu0QtpzbRUg4cQ2LFV8gvMTwom670rOwKz0LAHBwzhB4t24hS81ERERkujRNHhYknEL6tXyjesi1m6UJAD3VrpYrlIiIbBpDuYkqD2EzZduzsNj9yFw6stHrIyIiovpL0+Thb18eR3ZBkVGBvKWjhO+mDYJ3Kyfk3StFWxelpUsmIiIbVfdGmqQnLiIY9pJkUiBX2EmIiwi2UIVERERkLk1uIX448zsW7zxrdCAHgA2vD4Bv25awt7dnICciIpOwp9wEaZo8bDp2FZ+1+QpP3DV+H/KtkQPR24t7kRMREVkzTW6hyYu6de3ggvzCEnionCxWJxERNS0M5UbS5BbiswOXMPLXZXjCyB5yIiIish3GBnIJgHdrZxSVlOPLSX3R1kXJxdyIiMhsDOV1qLw36Zv2W/CSQ82BvEv7Frh0oxABHq54qZ8vvjn2K7Lzi9HWhaGdiIjI2sVFBGPWv09ioyKq1h7yzyeE4vGADtxVhYiIGgRDeR0qf2oeWqmBrhzIJQD/eK4Pnn3YG3eKS+GiVECSJIzv58MGm4iIyAZocgvRpb0LNoTdwCNHax+y/lp8MjKXjmT7TkREDYKhvA5xEcGYvikVALCo9BU8Un4OW8r+pNdDLgA8F9oRAHR7kgKAJElssImIiGyA9kP4EXYX0P+PJr6mRd2iwntasjQiImriGMrrMDrEC1dvFeLDvefxi/DCL2Ve1a55a1g3GSojIiKihqIduv5deX/0KArGPRheuC1h8qMI8Wlt4eqIiKgp45ZoRhgS0KHGc62cHfDcw94WrIaIiIga2ugQL2yNHAgABgO5JFV8d7DnWyciImpYbFmM0NbFEa1bOBg8t/bVUHiqnC1cERERETUWbQDXmjykCwK9VGjvouTirURE1OA4fN0InipnbI0ciGdXH4a6tTPGhnrjm2NX8Xt+MQM5ERFRE9HWxRHtXZTwbOWEiL4d8c3Ril1UXu7vi9nDunPxViIiahSSEELIXURjKigogEqlQn5+Ptzc3Or1XMWlZXC0t4MkSRBCsHEmIiKzNGTbRGzriYjI+pjSNrGn3ASVG2WurE5ERNT0sK0nIiJL45xyIiIiIiIiIpkwlBMRERERERHJhKGciIiIiIiISCYM5UREREREREQyYSgnIiIiIiIikglDOREREREREZFMGMqJiIiIiIiIZMJQTkRERERERCQThnIiIiIiIiIimTCUExEREREREcmEoZyIiIiIiIhIJgzlRERERERERDJRyF0AERERUX0IIQAABQUFMldCRERUQdsmaduo2jT5UM6GmoiIrI0pDTXV7fbt2wCAjh07ylwJERGRvtu3b0OlUtV6TZMP5WyoiYjIWhnTUFPd1Go1rl69CldXV0iSJHc5dSooKEDHjh1x9epVuLm5yV2OyVi/vFi/vFi/vGypfiEEbt++DbVaXee1TT6U21pDLSdb+iO3Nrx39cP7Vz+8f+aT696Z0lBT3ezs7ODt7S13GSZzc3Oz6dcs65cX65cX65eXrdRv7AfvTT6U22pDLSdb+SO3Rrx39cP7Vz+8f+aT496xh5yIiIgArr5OREREREREJBuGciIiIiILUiqVWLhwIZRKpdylmIX1y4v1y4v1y8vW66+JJLj0K/2huLgYMTExmDdvXpP7Q29svHf1w/tXP7x/5uO9IyIiIrkxlBMRERERERHJhMPXiYiIiIiIiGTCUE5EREREREQkE4ZyIiIiIiIiIpkwlBMRERFZQGlpKd5++234+fnB2dkZnTt3xnvvvYfy8nK5SzPowIEDCA8Ph1qthiRJ2Lp1q955IQSioqKgVqvh7OyMwYMH4/Tp0/IUa0Bt9ZeUlGDOnDkIDAxEy5YtoVar8corr+C3336Tr+Aq6rr/lb3xxhuQJAlxcXEWq682xtR+9uxZjBo1CiqVCq6urujfvz9+/fVXyxdrQF3137lzB1OmTIG3tzecnZ3Ro0cPfPLJJ/IUa0BMTAz69u0LV1dXdOjQAaNHj0ZGRobeNdb8+q2rflt4/ZqKobyZsfUXqdw++eQT9OnTB25ubnBzc8OAAQPw/fff687z3hkvJiYGkiRh+vTpumO8fzWLioqCJEl6Xx4eHrrzvHd1u3btGl566SW0bdsWLVq0QHBwMI4fP647z3tIjS02NhZr1qzBypUrcfbsWSxbtgz/+Mc/8PHHH8tdmkF3795FUFAQVq5cafD8smXLsHz5cqxcuRLHjh2Dh4cHhg4ditu3b1u4UsNqq7+wsBApKSl45513kJKSgi1btuD8+fMYNWqUDJUaVtf919q6dSt+/vlnqNVqC1VWt7pq/+WXXxAWFoaAgAAkJibi5MmTeOedd+Dk5GThSg2rq/4ZM2Zg9+7d2LBhA86ePYsZM2Zg6tSp2LZtm4UrNSwpKQmRkZE4cuQI9u7di9LSUgwbNgx3797VXWPNr9+66reF16/JBDUrTz31lFi3bp04deqUSE1NFSNHjhQ+Pj7izp07umuWLl0qXF1dxebNm0V6erqIiIgQnp6eoqCgQMbKrcP27dvFrl27REZGhsjIyBDz588XDg4O4tSpU0II3jtjHT16VHTq1En06dNHTJs2TXec969mCxcuFL169RJZWVm6r5ycHN153rva3bp1S/j6+oqJEyeKn3/+WVy+fFns27dPXLx4UXcN7yE1tpEjR4pJkybpHRszZox46aWXZKrIeABEQkKC7nF5ebnw8PAQS5cu1R0rKioSKpVKrFmzRoYKa1e1fkOOHj0qAIgrV65YpigT1FS/RqMRXl5e4tSpU8LX11f885//tHhtdTFUe0REhE383QthuP5evXqJ9957T+/YQw89JN5++20LVma8nJwcAUAkJSUJIWzv9Vu1fkOs+fVrDIbyZs7WX6TWoHXr1uLzzz/nvTPS7du3hb+/v9i7d68YNGiQLpTz/tVu4cKFIigoyOA53ru6zZkzR4SFhdV4nveQLCEmJkb4+vqKjIwMIYQQqampokOHDmLjxo0yV1a3qsHkl19+EQBESkqK3nWjRo0Sr7zyioWrq5sxoXzv3r1CkiSRn59vmaJMYKj+srIyMWTIEBEXFyeEEDYTysvKyoSLi4t47733xLBhw0T79u3FI488Uuf/H7kYuvdvvPGGCA0NFRqNRpSXl4sff/xRuLi4iP/973/yFFmHCxcuCAAiPT1dCGF7r9+q9Rtiza9fY3D4ejOXn58PAGjTpg0A4PLly8jOzsawYcN01yiVSgwaNAiHDx+WpUZrVVZWhm+++QZ3797FgAEDeO+MFBkZiZEjR+LJJ5/UO877V7cLFy5ArVbDz88PL7zwAi5dugSA984Y27dvR2hoKJ5//nl06NABISEh+Ne//qU7z3tIljBnzhyMGzcOAQEBcHBwQEhICKZPn45x48bJXZrJsrOzAQDu7u56x93d3XXnbElRURHmzp2L8ePHw83NTe5yjBIbGwuFQoE333xT7lJMkpOTgzt37mDp0qUYPnw49uzZg7/85S8YM2YMkpKS5C7PKB999BF69uwJb29vODo6Yvjw4Vi9ejXCwsLkLq0aIQRmzpyJsLAw9O7dG4BtvX4N1V+VLb5+q1LIXQDJx9QX6ZUrVyxeozVKT0/HgAEDUFRUBBcXFyQkJKBnz566N+68dzX75ptvkJKSgmPHjlU7x7+92vXr1w9ffvklunXrht9//x2LFy/Go48+itOnT/PeGeHSpUv45JNPMHPmTMyfPx9Hjx7Fm2++CaVSiVdeeYX3kCxi06ZN2LBhAzZu3IhevXohNTUV06dPh1qtxoQJE+QuzyySJOk9FkJUO2btSkpK8MILL6C8vByrV6+WuxyjHD9+HCtWrEBKSorN3W/twoZ//vOfMWPGDABAcHAwDh8+jDVr1mDQoEFylmeUjz76CEeOHMH27dvh6+uLAwcOYPLkyfD09KzW6SC3KVOmIC0tDQcPHqx2zhZev7XVD9jm69cQhvJmzNZfpHLp3r07UlNTkZeXh82bN2PChAl6n+zy3hl29epVTJs2DXv27Kl1IRfeP8Oefvpp3X8HBgZiwIAB6NKlC+Lj49G/f38AvHe1KS8vR2hoKKKjowEAISEhOH36ND755BO88soruut4D6kxzZ49G3PnzsULL7wAoOK1fOXKFcTExNhcKNcuNJmdnQ1PT0/d8ZycnGofblmzkpISjB07FpcvX8aPP/5oM71s//vf/5CTkwMfHx/dsbKyMrz11luIi4tDZmamfMXVoV27dlAoFOjZs6fe8R49etQYvKzJvXv3MH/+fCQkJGDkyJEAgD59+iA1NRUffPCBVYXyqVOnYvv27Thw4AC8vb11x23l9VtT/Vq2+vo1hMPXmyntH/n+/ftrfJFWZm0vUjk5Ojqia9euCA0NRUxMDIKCgrBixQreuzocP34cOTk5ePjhh6FQKKBQKJCUlISPPvoICoVCd494/4zTsmVLBAYG4sKFC/zbM4Knp6fBN4Da7Xd4D8kSCgsLYWen/9bL3t7eardEq42fnx88PDywd+9e3bH79+8jKSkJjz76qIyVGU/7hv7ChQvYt28f2rZtK3dJRnv55ZeRlpaG1NRU3Zdarcbs2bPx3//+V+7yauXo6Ii+fftW2/3n/Pnz8PX1lakq45WUlKCkpMSqX8tCCEyZMgVbtmzBjz/+CD8/P73z1v76rat+wLZfv4awp7yZEUJg6tSpSEhIQGJiYq0v0pCQEAAPXqSxsbFylGz1hBAoLi7mvavDE088gfT0dL1jr776KgICAjBnzhx07tyZ988ExcXFOHv2LP70pz/xb88IAwcOrPUNIO8hWUJ4eDiWLFkCHx8f9OrVCydOnMDy5csxadIkuUsz6M6dO7h48aLu8eXLl5Gamoo2bdrAx8cH06dPR3R0NPz9/eHv74/o6Gi0aNEC48ePl7HqB2qrX61W47nnnkNKSgp27tyJsrIy3Ydybdq0gaOjo1xl69R1/6uGEAcHB3h4eKB79+6WLrWaumqfPXs2IiIi8Nhjj2HIkCHYvXs3duzYgcTERPmKrqSu+gcNGoTZs2fD2dkZvr6+SEpKwpdffonly5fLWPUDkZGR2LhxI7Zt2wZXV1fd37ZKpYKzs7NuS1prff3WVX9paanVv35NJsfqciSfv//970KlUonExES9rZUKCwt11yxdulSoVCqxZcsWkZ6eLsaNG8dtgf4wb948ceDAAXH58mWRlpYm5s+fL+zs7MSePXuEELx3pqq8+roQvH+1eeutt0RiYqK4dOmSOHLkiHjmmWeEq6uryMzMFELw3tXl6NGjQqFQiCVLlogLFy6Ir776SrRo0UJs2LBBdw3vITW2goICMW3aNOHj4yOcnJxE586dxYIFC0RxcbHcpRm0f/9+AaDa14QJE4QQFbsWLFy4UHh4eAilUikee+yxWldHtrTa6r98+bLBcwDE/v375S5dCFH3/a/KmlZfN6b2L774QnTt2lU4OTmJoKAgsXXrVvkKrqKu+rOyssTEiROFWq0WTk5Oonv37uLDDz8U5eXl8hb+h5r+ttetW6e7xppfv3XVbwuvX1MxlDcztv4ildukSZOEr6+vcHR0FO3btxdPPPGELpALwXtnqqqhnPevZto9sx0cHIRarRZjxowRp0+f1p3nvavbjh07RO/evYVSqRQBAQHis88+0zvPe0hERERykIQQogE73omIiIiIiIjISFzojYiIiIiIiEgmDOVEREREREREMmEoJyIiIiIiIpIJQzkRERERERGRTBjKiYiIiIiIiGTCUE5EREREREQkE4ZyIiIiIiIiIpkwlBMRERERERHJhKGcqAmbOHEiRo8erXfsP//5D5ycnLBs2TKDP5OYmAhJkpCXl9f4BRIREVG9ZWdnY9q0aejatSucnJzg7u6OsLAwrFmzBoWFhTX+nKH3CURkeQq5CyAiy/n8888RGRmJVatW4fXXX6/Xc92/fx+Ojo4NVBkRERGZ49KlSxg4cCBatWqF6OhoBAYGorS0FOfPn8fatWuhVqsxatSoev0bJSUlcHBwaKCKiagq9pQTNRPLli3DlClTsHHjxhoDeWZmJoYMGQIAaN26NSRJwsSJEwEAgwcPxpQpUzBz5ky0a9cOQ4cORWZmJiRJQmpqqu458vLyIEkSEhMTdcfOnDmDESNGwMXFBe7u7nj55Zdx48aNxvpViYiImo3JkydDoVAgOTkZY8eORY8ePRAYGIhnn30Wu3btQnh4uMGfi4qKQnx8PLZt2wZJknRtt7Zt//bbbzF48GA4OTlhw4YNiIqKQnBwsN5zxMXFoVOnTnrH1q1bhx49esDJyQkBAQFYvXp1I/3mRE0HQzlRMzB37ly8//772LlzJ5599tkar+vYsSM2b94MAMjIyEBWVhZWrFihOx8fHw+FQoFDhw7h008/NerfzsrKwqBBgxAcHIzk5GTs3r0bv//+O8aOHVu/X4qIiKiZu3nzJvbs2YPIyEi0bNnS4DWSJBk8PmvWLIwdOxbDhw9HVlYWsrKy8Oijj+rOz5kzB2+++SbOnj2Lp556yqh6/vWvf2HBggVYsmQJzp49i+joaLzzzjuIj483/ZcjakY4fJ2oifv++++xbds2/PDDD3j88cdrvdbe3h5t2rQBAHTo0AGtWrXSO9+1a1e9ueiZmZl1/vuffPIJHnroIURHR+uOrV27Fh07dsT58+fRrVs3438ZIiIi0rl48SKEEOjevbve8Xbt2qGoqAgAEBkZidjY2Go/6+LiAmdnZxQXF8PDw6Pa+enTp2PMmDEm1fP+++/jww8/1P2cn58fzpw5g08//RQTJkww6bmImhOGcqImrk+fPrhx4wbeffdd9O3bF66urmY/V2hoqMk/c/z4cezfvx8uLi7Vzv3yyy8M5URERPVUtTf86NGjKC8vx4svvoji4mKzntPUNv/69eu4evUqXnvtNfz1r3/VHS8tLYVKpTKrBqLmgqGcqInz8vLC5s2bMWTIEAwfPhy7d+82O5hXHRpnZ1cxA0YIoTtWUlKid015eTnCw8MNfkrv6elpVh1ERERUMYJNkiScO3dO73jnzp0BAM7OzmY/t6E2v3J7D+i3+eXl5QAqhrD369dP7zp7e3uz6yBqDjinnKgZ8PHxQVJSEnJycjBs2DAUFBTUeK12RfWysrI6n7d9+/YAKuaNa1Ve9A0AHnroIZw+fRqdOnVC165d9b5qmv9GREREdWvbti2GDh2KlStX4u7duyb/vKOjo1HtPVDR5mdnZ+sF88ptvru7O7y8vHDp0qVq7b2fn5/JtRE1JwzlRM2Et7c3EhMTcfPmTQwbNgz5+fkGr/P19YUkSdi5cyeuX7+OO3fu1Piczs7O6N+/P5YuXYozZ87gwIEDePvtt/WuiYyMxK1btzBu3DgcPXoUly5dwp49ezBp0iSj3wgQERGRYatXr0ZpaSlCQ0OxadMmnD17FhkZGdiwYQPOnTtXay91p06dkJaWhoyMDNy4caPaaLfKBg8ejOvXr2PZsmX45ZdfsGrVKnz//fd610RFRSEmJgYrVqzA+fPnkZ6ejnXr1mH58uUN9vsSNUUM5UTNiJeXF5KSkpCXl4ehQ4ciLy/P4DWLFi3C3Llz4e7ujilTptT6nGvXrkVJSQlCQ0Mxbdo0LF68WO+8Wq3GoUOHUFZWhqeeegq9e/fGtGnToFKpdMPfiYiIyDxdunTBiRMn8OSTT2LevHkICgpCaGgoPv74Y8yaNQvvv/9+jT/717/+Fd27d0doaCjat2+PQ4cO1Xhtjx49sHr1aqxatQpBQUE4evQoZs2apXfN66+/js8//xzr169HYGAgBg0ahPXr17OnnKgOkqg6OYSIiIiIiIiILILdVEREREREREQyYSgnIiIiIiIikglDOREREREREZFMGMqJiIiIiIiIZMJQTkRERERERCQThnIiIiIiIiIimTCUExEREREREcmEoZyIiIiIiIhIJgzlRERERERERDJhKCciIiIiIiKSCUM5ERERERERkUwYyomIiIiIiIhk8v8B191RypxQVo4AAAAASUVORK5CYII=",
+      "text/plain": [
+       "<Figure size 1200x1000 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Constructing the network\n",
+      "Model: \"sequential_8\"\n",
+      "_________________________________________________________________\n",
+      " Layer (type)                Output Shape              Param #   \n",
+      "=================================================================\n",
+      " dense_88 (Dense)            (None, 50)                600       \n",
+      "                                                                 \n",
+      " dense_89 (Dense)            (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_90 (Dense)            (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_91 (Dense)            (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_92 (Dense)            (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_93 (Dense)            (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_94 (Dense)            (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_95 (Dense)            (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_96 (Dense)            (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_97 (Dense)            (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_98 (Dense)            (None, 2)                 102       \n",
+      "                                                                 \n",
+      "=================================================================\n",
+      "Total params: 23652 (92.39 KB)\n",
+      "Trainable params: 23652 (92.39 KB)\n",
+      "Non-trainable params: 0 (0.00 Byte)\n",
+      "_________________________________________________________________\n",
+      "\n",
+      "\n",
+      "start training the network\n",
+      "6/6 [==============================] - 0s 2ms/step - loss: 0.2620 - mean_squared_error: 0.2597\n",
+      "Loss on test set  0.26200342178344727 accuracy on test_set  0.2597288191318512\n",
+      "   RelativeError  MeanSquaredError  CoefficientOfDetermination\n",
+      "0       0.016420          0.460935                    0.997306\n",
+      "1       0.016183          0.063072                    0.996428\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x1000 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Constructing the network\n",
+      "Model: \"sequential_9\"\n",
+      "_________________________________________________________________\n",
+      " Layer (type)                Output Shape              Param #   \n",
+      "=================================================================\n",
+      " dense_99 (Dense)            (None, 50)                600       \n",
+      "                                                                 \n",
+      " dense_100 (Dense)           (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_101 (Dense)           (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_102 (Dense)           (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_103 (Dense)           (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_104 (Dense)           (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_105 (Dense)           (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_106 (Dense)           (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_107 (Dense)           (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_108 (Dense)           (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_109 (Dense)           (None, 2)                 102       \n",
+      "                                                                 \n",
+      "=================================================================\n",
+      "Total params: 23652 (92.39 KB)\n",
+      "Trainable params: 23652 (92.39 KB)\n",
+      "Non-trainable params: 0 (0.00 Byte)\n",
+      "_________________________________________________________________\n",
+      "\n",
+      "\n",
+      "start training the network\n",
+      "6/6 [==============================] - 0s 2ms/step - loss: 0.8523 - mean_squared_error: 0.8541\n",
+      "Loss on test set  0.8523304462432861 accuracy on test_set  0.8541434407234192\n",
+      "   RelativeError  MeanSquaredError  CoefficientOfDetermination\n",
+      "0       0.028382          1.538956                    0.991007\n",
+      "1       0.023246          0.165705                    0.990616\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x1000 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Constructing the network\n",
+      "Model: \"sequential_10\"\n",
+      "_________________________________________________________________\n",
+      " Layer (type)                Output Shape              Param #   \n",
+      "=================================================================\n",
+      " dense_110 (Dense)           (None, 50)                600       \n",
+      "                                                                 \n",
+      " dense_111 (Dense)           (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_112 (Dense)           (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_113 (Dense)           (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_114 (Dense)           (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_115 (Dense)           (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_116 (Dense)           (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_117 (Dense)           (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_118 (Dense)           (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_119 (Dense)           (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_120 (Dense)           (None, 2)                 102       \n",
+      "                                                                 \n",
+      "=================================================================\n",
+      "Total params: 23652 (92.39 KB)\n",
+      "Trainable params: 23652 (92.39 KB)\n",
+      "Non-trainable params: 0 (0.00 Byte)\n",
+      "_________________________________________________________________\n",
+      "\n",
+      "\n",
+      "start training the network\n",
+      "6/6 [==============================] - 0s 2ms/step - loss: 0.2545 - mean_squared_error: 0.2549\n",
+      "Loss on test set  0.25451263785362244 accuracy on test_set  0.25494885444641113\n",
+      "   RelativeError  MeanSquaredError  CoefficientOfDetermination\n",
+      "0       0.013923          0.437411                    0.997444\n",
+      "1       0.015312          0.071614                    0.995945\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x1000 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Constructing the network\n",
+      "Model: \"sequential_11\"\n",
+      "_________________________________________________________________\n",
+      " Layer (type)                Output Shape              Param #   \n",
+      "=================================================================\n",
+      " dense_121 (Dense)           (None, 50)                600       \n",
+      "                                                                 \n",
+      " dense_122 (Dense)           (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_123 (Dense)           (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_124 (Dense)           (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_125 (Dense)           (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_126 (Dense)           (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_127 (Dense)           (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_128 (Dense)           (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_129 (Dense)           (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_130 (Dense)           (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_131 (Dense)           (None, 2)                 102       \n",
+      "                                                                 \n",
+      "=================================================================\n",
+      "Total params: 23652 (92.39 KB)\n",
+      "Trainable params: 23652 (92.39 KB)\n",
+      "Non-trainable params: 0 (0.00 Byte)\n",
+      "_________________________________________________________________\n",
+      "\n",
+      "\n",
+      "start training the network\n",
+      "6/6 [==============================] - 0s 2ms/step - loss: 0.1002 - mean_squared_error: 0.0998\n",
+      "Loss on test set  0.10016524791717529 accuracy on test_set  0.09984654188156128\n",
+      "   RelativeError  MeanSquaredError  CoefficientOfDetermination\n",
+      "0       0.010709          0.181212                    0.998941\n",
+      "1       0.009190          0.019119                    0.998917\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x1000 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "namelist = [5000, 7500,10000,12500,15000,17500]\n",
+    "\n",
+    "for nr in namelist:\n",
+    "    neural_net_training(nr)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 101,
+   "id": "176a5fb1-5283-4e99-9a59-0701ea1281f5",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>C3S</th>\n",
+       "      <th>C2S</th>\n",
+       "      <th>C3A</th>\n",
+       "      <th>C4AF</th>\n",
+       "      <th>CSH2</th>\n",
+       "      <th>limestone</th>\n",
+       "      <th>silica_fume</th>\n",
+       "      <th>GGBFS</th>\n",
+       "      <th>fly_ash</th>\n",
+       "      <th>calcined_clay</th>\n",
+       "      <th>wc_ratio</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>57.759534</td>\n",
+       "      <td>23.535395</td>\n",
+       "      <td>0.577458</td>\n",
+       "      <td>14.127612</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>5.640195</td>\n",
+       "      <td>2.484955</td>\n",
+       "      <td>9.900995</td>\n",
+       "      <td>20.214206</td>\n",
+       "      <td>7.343695</td>\n",
+       "      <td>0.572945</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>69.804651</td>\n",
+       "      <td>16.620560</td>\n",
+       "      <td>5.151376</td>\n",
+       "      <td>4.423414</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>13.078182</td>\n",
+       "      <td>7.445782</td>\n",
+       "      <td>31.891107</td>\n",
+       "      <td>30.228413</td>\n",
+       "      <td>0.355157</td>\n",
+       "      <td>0.408889</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>70.530976</td>\n",
+       "      <td>12.161473</td>\n",
+       "      <td>7.697921</td>\n",
+       "      <td>5.609630</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>15.254443</td>\n",
+       "      <td>3.570133</td>\n",
+       "      <td>22.133387</td>\n",
+       "      <td>7.081840</td>\n",
+       "      <td>31.336437</td>\n",
+       "      <td>0.493795</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>59.915648</td>\n",
+       "      <td>21.038511</td>\n",
+       "      <td>8.003623</td>\n",
+       "      <td>7.042218</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>17.214484</td>\n",
+       "      <td>5.303480</td>\n",
+       "      <td>7.945340</td>\n",
+       "      <td>7.374823</td>\n",
+       "      <td>20.248623</td>\n",
+       "      <td>0.353365</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>49.277774</td>\n",
+       "      <td>32.147100</td>\n",
+       "      <td>5.015461</td>\n",
+       "      <td>9.541277</td>\n",
+       "      <td>4.018388</td>\n",
+       "      <td>2.377562</td>\n",
+       "      <td>9.794450</td>\n",
+       "      <td>12.749963</td>\n",
+       "      <td>20.150445</td>\n",
+       "      <td>18.786043</td>\n",
+       "      <td>0.433307</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2379</th>\n",
+       "      <td>56.065586</td>\n",
+       "      <td>14.973678</td>\n",
+       "      <td>12.124804</td>\n",
+       "      <td>12.835933</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>9.443169</td>\n",
+       "      <td>1.663355</td>\n",
+       "      <td>15.423068</td>\n",
+       "      <td>34.277295</td>\n",
+       "      <td>12.669625</td>\n",
+       "      <td>0.360233</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2380</th>\n",
+       "      <td>69.332523</td>\n",
+       "      <td>17.299519</td>\n",
+       "      <td>6.433775</td>\n",
+       "      <td>2.934183</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>6.218185</td>\n",
+       "      <td>5.679876</td>\n",
+       "      <td>20.245376</td>\n",
+       "      <td>26.308461</td>\n",
+       "      <td>4.140205</td>\n",
+       "      <td>0.557165</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2381</th>\n",
+       "      <td>74.653186</td>\n",
+       "      <td>18.248750</td>\n",
+       "      <td>0.255812</td>\n",
+       "      <td>2.842252</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>14.568705</td>\n",
+       "      <td>5.073597</td>\n",
+       "      <td>32.170070</td>\n",
+       "      <td>34.543236</td>\n",
+       "      <td>0.478878</td>\n",
+       "      <td>0.345697</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2382</th>\n",
+       "      <td>68.012854</td>\n",
+       "      <td>13.934451</td>\n",
+       "      <td>5.276540</td>\n",
+       "      <td>8.776155</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>2.987946</td>\n",
+       "      <td>5.997427</td>\n",
+       "      <td>20.316890</td>\n",
+       "      <td>17.708088</td>\n",
+       "      <td>2.239385</td>\n",
+       "      <td>0.655840</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2383</th>\n",
+       "      <td>51.712821</td>\n",
+       "      <td>20.992550</td>\n",
+       "      <td>10.221857</td>\n",
+       "      <td>13.072772</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>2.735922</td>\n",
+       "      <td>8.030414</td>\n",
+       "      <td>3.380232</td>\n",
+       "      <td>28.291752</td>\n",
+       "      <td>16.133042</td>\n",
+       "      <td>0.574853</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>2384 rows × 11 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            C3S        C2S        C3A       C4AF      CSH2  limestone  \\\n",
+       "0     57.759534  23.535395   0.577458  14.127612  4.000000   5.640195   \n",
+       "1     69.804651  16.620560   5.151376   4.423414  4.000000  13.078182   \n",
+       "2     70.530976  12.161473   7.697921   5.609630  4.000000  15.254443   \n",
+       "3     59.915648  21.038511   8.003623   7.042218  4.000000  17.214484   \n",
+       "4     49.277774  32.147100   5.015461   9.541277  4.018388   2.377562   \n",
+       "...         ...        ...        ...        ...       ...        ...   \n",
+       "2379  56.065586  14.973678  12.124804  12.835933  4.000000   9.443169   \n",
+       "2380  69.332523  17.299519   6.433775   2.934183  4.000000   6.218185   \n",
+       "2381  74.653186  18.248750   0.255812   2.842252  4.000000  14.568705   \n",
+       "2382  68.012854  13.934451   5.276540   8.776155  4.000000   2.987946   \n",
+       "2383  51.712821  20.992550  10.221857  13.072772  4.000000   2.735922   \n",
+       "\n",
+       "      silica_fume      GGBFS    fly_ash  calcined_clay  wc_ratio  \n",
+       "0        2.484955   9.900995  20.214206       7.343695  0.572945  \n",
+       "1        7.445782  31.891107  30.228413       0.355157  0.408889  \n",
+       "2        3.570133  22.133387   7.081840      31.336437  0.493795  \n",
+       "3        5.303480   7.945340   7.374823      20.248623  0.353365  \n",
+       "4        9.794450  12.749963  20.150445      18.786043  0.433307  \n",
+       "...           ...        ...        ...            ...       ...  \n",
+       "2379     1.663355  15.423068  34.277295      12.669625  0.360233  \n",
+       "2380     5.679876  20.245376  26.308461       4.140205  0.557165  \n",
+       "2381     5.073597  32.170070  34.543236       0.478878  0.345697  \n",
+       "2382     5.997427  20.316890  17.708088       2.239385  0.655840  \n",
+       "2383     8.030414   3.380232  28.291752      16.133042  0.574853  \n",
+       "\n",
+       "[2384 rows x 11 columns]"
+      ]
+     },
+     "execution_count": 101,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "X"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8433107e-cbd4-49e8-9411-42def179a37c",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.13"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/machine_learning_old.ipynb b/machine_learning_old.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..11635b5b90a48a3cbde845d1bf7a8e5d98fb97d5
--- /dev/null
+++ b/machine_learning_old.ipynb
@@ -0,0 +1,2346 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "214f8ef2-38cb-4fc4-92ca-305b1a6248a6",
+   "metadata": {},
+   "source": [
+    "# Surrogate models training and validation"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "25670a8a-4fc0-4127-a715-c0c53775a19d",
+   "metadata": {},
+   "source": [
+    "## Importation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "0db73fe9-bfd1-4434-b32d-e933ca648b0e",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "#from ml.bayesian_opt import BO\n",
+    "import tensorflow as tf\n",
+    "from tensorflow.keras.models import load_model\n",
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "from sklearn.gaussian_process import GaussianProcessRegressor\n",
+    "from sklearn.gaussian_process.kernels import *\n",
+    "from sklearn.model_selection import train_test_split\n",
+    "from ml.neural_net import NN, NN_co2\n",
+    "from ml.neural_net import hyp_param_opt\n",
+    "from ml.validate import evaluate_predictions\n",
+    "from ml.validate import plot_true_vs_predicted, plot_model1_vs_model2, plot_loss\n",
+    "from ml.opt import opt, opt_gp, opt_ismo\n",
+    "from util.time import measure_and_plot_time\n",
+    "from util.normalization import minmax_normalize\n",
+    "\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "import os\n",
+    "import warnings\n",
+    "warnings.filterwarnings(\"ignore\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "83ae637b-97bb-4661-9c53-b782e295fec9",
+   "metadata": {},
+   "source": [
+    "# Surrogate Model for Hydration of Cement"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "546e61db-7de1-43c4-ace1-f8b1e64d8df5",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "########################################################################################\n",
+    "#\n",
+    "#                   LOAD DATA\n",
+    "#\n",
+    "########################################################################################\n",
+    "#importation of data for NN\n",
+    "file_path = '/mnt/disk1/projects/Cement/02-Software_and_Models/Models/InputData/'\n",
+    "name = '_LHS_1000_'\n",
+    "X = pd.read_csv(file_path+ 'recipe_data'+name+'.csv',  index_col=[0])\n",
+    "y = pd.read_csv(file_path+ 'elastic_moduli'+name+'.csv')\n",
+    "\n",
+    "train_input, test_input, train_output, test_output = train_test_split(X, y, test_size=0.1, random_state=42)\n",
+    "# suppress low values of aq_gen for a nice relative error\n",
+    "#test_input = test_input[test_output['aq_gen'] > 1e-3]\n",
+    "#test_output = test_output[test_output['aq_gen'] > 1e-3]\n",
+    "\n",
+    "# importation of data for GP\n",
+    "#file_path = 'data_repo/'\n",
+    "X = pd.read_csv(file_path+ 'recipe_data'+name+'.csv',  index_col=[0])\n",
+    "y = pd.read_csv(file_path+ 'elastic_moduli'+name+'.csv')\n",
+    "\n",
+    "train_input_gp, test_input_gp, train_output_gp, test_output_gp = train_test_split(X, y, test_size=0.2, random_state=42)\n",
+    "# suppress low values of aq_gen for a nice relative error\n",
+    "#test_input_gp = test_input_gp[test_output_gp['aq_gen'] > 1e-4]\n",
+    "#test_output_gp = test_output_gp[test_output_gp['aq_gen'] > 1e-4]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "d26e11ea-4002-4869-982a-ad5fef34555b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>K</th>\n",
+       "      <th>G</th>\n",
+       "      <th>E</th>\n",
+       "      <th>P</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>244</th>\n",
+       "      <td>59.142693</td>\n",
+       "      <td>21.820735</td>\n",
+       "      <td>58.293111</td>\n",
+       "      <td>0.335727</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>82</th>\n",
+       "      <td>21.886621</td>\n",
+       "      <td>9.724853</td>\n",
+       "      <td>25.410954</td>\n",
+       "      <td>0.306496</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>316</th>\n",
+       "      <td>16.193555</td>\n",
+       "      <td>7.713963</td>\n",
+       "      <td>19.970792</td>\n",
+       "      <td>0.294457</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>350</th>\n",
+       "      <td>62.910556</td>\n",
+       "      <td>23.472362</td>\n",
+       "      <td>62.628094</td>\n",
+       "      <td>0.334082</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>465</th>\n",
+       "      <td>51.533732</td>\n",
+       "      <td>18.985468</td>\n",
+       "      <td>50.726985</td>\n",
+       "      <td>0.335942</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>106</th>\n",
+       "      <td>17.686152</td>\n",
+       "      <td>8.322476</td>\n",
+       "      <td>21.582161</td>\n",
+       "      <td>0.296619</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>270</th>\n",
+       "      <td>47.186574</td>\n",
+       "      <td>17.644344</td>\n",
+       "      <td>47.066545</td>\n",
+       "      <td>0.333757</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>860</th>\n",
+       "      <td>17.699450</td>\n",
+       "      <td>8.025330</td>\n",
+       "      <td>20.914895</td>\n",
+       "      <td>0.303055</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>435</th>\n",
+       "      <td>21.824682</td>\n",
+       "      <td>9.968015</td>\n",
+       "      <td>25.952882</td>\n",
+       "      <td>0.301808</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>102</th>\n",
+       "      <td>25.347822</td>\n",
+       "      <td>10.566972</td>\n",
+       "      <td>27.833222</td>\n",
+       "      <td>0.316991</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>755 rows × 4 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "             K          G          E         P\n",
+       "244  59.142693  21.820735  58.293111  0.335727\n",
+       "82   21.886621   9.724853  25.410954  0.306496\n",
+       "316  16.193555   7.713963  19.970792  0.294457\n",
+       "350  62.910556  23.472362  62.628094  0.334082\n",
+       "465  51.533732  18.985468  50.726985  0.335942\n",
+       "..         ...        ...        ...       ...\n",
+       "106  17.686152   8.322476  21.582161  0.296619\n",
+       "270  47.186574  17.644344  47.066545  0.333757\n",
+       "860  17.699450   8.025330  20.914895  0.303055\n",
+       "435  21.824682   9.968015  25.952882  0.301808\n",
+       "102  25.347822  10.566972  27.833222  0.316991\n",
+       "\n",
+       "[755 rows x 4 columns]"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "train_output_gp"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "33b07e71-bcb7-480f-92a7-9e6e6d844839",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2024-04-25 10:41:44.935816: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1929] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 22198 MB memory:  -> device: 0, name: NVIDIA RTX A5000, pci bus id: 0000:21:00.0, compute capability: 8.6\n"
+     ]
+    }
+   ],
+   "source": [
+    "########################################################################################\n",
+    "#\n",
+    "#                    NEURAL NETWORK\n",
+    "#\n",
+    "########################################################################################\n",
+    "#train the model \n",
+    "\n",
+    "#hydration_NN, hydration_history = NN(train_input, train_output, test_input, test_output)\n",
+    "#hydration_NN.save('model/hydration_2^15.h5')\n",
+    "\n",
+    "# load the saved model\n",
+    "model_path = 'model/hydration_2^15.h5'\n",
+    "hydration_NN = load_model(model_path, compile=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "10e9c88e-09bd-4940-b82e-7e2cb2272666",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[0.38816837, 0.26100835, 0.09445354, 0.14059613, 0.11577361],\n",
+       "       [0.40752926, 0.2290191 , 0.07673358, 0.15054137, 0.13617668],\n",
+       "       [0.34754514, 0.23186432, 0.12005669, 0.16344404, 0.13708981],\n",
+       "       ...,\n",
+       "       [0.43439128, 0.2191902 , 0.07665661, 0.13890692, 0.13085498],\n",
+       "       [0.41787155, 0.18446693, 0.07462973, 0.1729322 , 0.15009959],\n",
+       "       [0.14065923, 0.34218278, 0.2191042 , 0.19210237, 0.10595141]])"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test_output.to_numpy()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "bfab8cb7-9595-4de8-b501-8f71bd4be146",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x1500 with 6 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Print the loss per epoch\n",
+    "#plot_loss(hydration_history, 'Hydration', train_input.shape[0])\n",
+    "\n",
+    "# Evaluation of performance of the network\n",
+    "predicted_values = hydration_NN(test_input.to_numpy()).numpy()\n",
+    "model_perf = evaluate_predictions(test_output, predicted_values)\n",
+    "model_perf.to_csv('model_perf/hydration_nn_2^15.csv')\n",
+    "\n",
+    "# Plot the true vs predicted plot\n",
+    "plot_true_vs_predicted(test_output, predicted_values, 'nn_hydration')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "d6165f4f-968b-4445-97aa-61fcfe7eeca5",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The score for the Gaussian Process for hydration is:  0.9999999999998137\n",
+      "The mean square error on the test set is:  3.1655038433292174e-05\n"
+     ]
+    }
+   ],
+   "source": [
+    "########################################################################################\n",
+    "#\n",
+    "#                    GAUSSIAN PROCESS\n",
+    "#\n",
+    "########################################################################################\n",
+    "# define the kernel\n",
+    "kernel = 1.0**2 * Matern(length_scale=1, nu=1.5)\n",
+    "# fit the model\n",
+    "gph = GaussianProcessRegressor(kernel).fit(train_input_gp,train_output_gp)\n",
+    "print('The score for the Gaussian Process for hydration is: ', gph.score(train_input_gp, train_output_gp))\n",
+    "print('The mean square error on the test set is: ', np.mean((gph.predict(test_input_gp)-test_output_gp)**2))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "7271e763-f828-4da5-8b8b-81b5bf2d696f",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x1500 with 6 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Evaluation of performance of the GP\n",
+    "predicted_values = gph.predict(test_input_gp)\n",
+    "model_perf = evaluate_predictions(test_output_gp, predicted_values)\n",
+    "#model_perf.to_csv('model_perf/gph_2^10.csv')\n",
+    "\n",
+    "# Plot the true vs predicted plot\n",
+    "plot_true_vs_predicted(test_output_gp, predicted_values, 'gp_hydration')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f74d54ac-e7ca-4e96-93a2-aaa26d184639",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2023-12-28T10:44:53.260958Z",
+     "iopub.status.busy": "2023-12-28T10:44:53.259746Z",
+     "iopub.status.idle": "2023-12-28T10:44:53.266946Z",
+     "shell.execute_reply": "2023-12-28T10:44:53.265697Z",
+     "shell.execute_reply.started": "2023-12-28T10:44:53.260918Z"
+    },
+    "tags": []
+   },
+   "source": [
+    "# Model for Elastic Modulus from Recipe"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "24de8c9f-c973-4065-9876-24a181583092",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
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+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>K</th>\n",
+       "      <th>G</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>38.607628</td>\n",
+       "      <td>14.354662</td>\n",
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+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>21.084140</td>\n",
+       "      <td>9.047453</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>18.887720</td>\n",
+       "      <td>8.169235</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>14.811197</td>\n",
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+       "    <tr>\n",
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+       "    <tr>\n",
+       "      <th>...</th>\n",
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+       "      <th>9444</th>\n",
+       "      <td>17.201760</td>\n",
+       "      <td>7.804758</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9445</th>\n",
+       "      <td>55.823553</td>\n",
+       "      <td>20.297697</td>\n",
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+       "    <tr>\n",
+       "      <th>9447</th>\n",
+       "      <td>17.891214</td>\n",
+       "      <td>7.778571</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9448</th>\n",
+       "      <td>38.191579</td>\n",
+       "      <td>14.561540</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>9449 rows × 2 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "              K          G\n",
+       "0     38.607628  14.354662\n",
+       "1     21.084140   9.047453\n",
+       "2     18.887720   8.169235\n",
+       "3     14.811197   7.526439\n",
+       "4     27.671749  11.077108\n",
+       "...         ...        ...\n",
+       "9444  17.201760   7.804758\n",
+       "9445  55.823553  20.297697\n",
+       "9446  14.840696   7.505540\n",
+       "9447  17.891214   7.778571\n",
+       "9448  38.191579  14.561540\n",
+       "\n",
+       "[9449 rows x 2 columns]"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "########################################################################################\n",
+    "#\n",
+    "#                   LOAD DATA\n",
+    "#\n",
+    "########################################################################################\n",
+    "########################################################################################\n",
+    "#\n",
+    "#                   LOAD DATA\n",
+    "#\n",
+    "########################################################################################\n",
+    "#importation of data for NN\n",
+    "file_path = '/mnt/disk1/projects/Cement/02-Software_and_Models/Models/InputData/'\n",
+    "name = '_LHS_10000_'\n",
+    "X = pd.read_csv(file_path+ 'recipe_data'+name+'.csv',  index_col=[0])\n",
+    "y = pd.read_csv(file_path+ 'elastic_moduli'+name+'.csv')\n",
+    "\n",
+    "y = y[['K','G']]\n",
+    "y"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "b46151fc-e6d4-4824-b574-88c95881f440",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "train_input, test_input, train_elastic, test_elastic = train_test_split(X, y, test_size=0.1, random_state=42)\n",
+    "\n",
+    "# importation of data for GP\n",
+    "#file_path = 'data_repo/'\n",
+    "X = pd.read_csv(file_path+ 'recipe_data'+name+'.csv',  index_col=[0])\n",
+    "y = pd.read_csv(file_path+ 'elastic_moduli'+name+'.csv')\n",
+    "\n",
+    "train_input_gp, test_input_gp, train_elastic_gp, test_elastic_gp = train_test_split(X, y, test_size=0.2, random_state=42)\n",
+    "# suppress low values of aq_gen for a nice relative error\n",
+    "#test_input_gp = test_input_gp[test_output_gp['aq_gen'] > 1e-4]\n",
+    "#test_output_gp = test_output_gp[test_output_gp['aq_gen'] > 1e-4]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "id": "a979dc34-d2ed-4d1f-95eb-63666d77de0e",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Constructing the network\n",
+      "Model: \"sequential_2\"\n",
+      "_________________________________________________________________\n",
+      " Layer (type)                Output Shape              Param #   \n",
+      "=================================================================\n",
+      " dense_22 (Dense)            (None, 50)                750       \n",
+      "                                                                 \n",
+      " dense_23 (Dense)            (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_24 (Dense)            (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_25 (Dense)            (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_26 (Dense)            (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_27 (Dense)            (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_28 (Dense)            (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_29 (Dense)            (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_30 (Dense)            (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_31 (Dense)            (None, 50)                2550      \n",
+      "                                                                 \n",
+      " dense_32 (Dense)            (None, 2)                 102       \n",
+      "                                                                 \n",
+      "=================================================================\n",
+      "Total params: 23802 (92.98 KB)\n",
+      "Trainable params: 23802 (92.98 KB)\n",
+      "Non-trainable params: 0 (0.00 Byte)\n",
+      "_________________________________________________________________\n",
+      "\n",
+      "\n",
+      "start training the network\n",
+      "30/30 [==============================] - 0s 1ms/step - loss: 0.6084 - mean_squared_error: 0.6050\n",
+      "Loss on test set  0.6083608865737915 accuracy on test_set  0.6050360202789307\n"
+     ]
+    }
+   ],
+   "source": [
+    "########################################################################################\n",
+    "#\n",
+    "#                    NEURAL NETWORK\n",
+    "#\n",
+    "########################################################################################\n",
+    "\n",
+    "# train the neural network\n",
+    "elasticity_NN, elasticity_history = NN(train_input, train_elastic, test_input, test_elastic)\n",
+    "elasticity_NN.save('model/elasticity_1000.h5')\n",
+    "# load the already trained neural network\n",
+    "#model_path = 'model/elasticity_2^15.h5'\n",
+    "#elasticity_NN = load_model(model_path, compile = False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "dde947a8-d6ce-42c5-bca3-ee6480d381f0",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "   RelativeError  MeanSquaredError  CoefficientOfDetermination\n",
+      "0       0.023231          1.087643                    0.993865\n",
+      "1       0.020167          0.129081                    0.992859\n"
+     ]
+    },
+    {
+     "ename": "IndexError",
+     "evalue": "too many indices for array: array is 1-dimensional, but 2 were indexed",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mIndexError\u001b[0m                                Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[21], line 15\u001b[0m\n\u001b[1;32m     13\u001b[0m \u001b[38;5;28mprint\u001b[39m(model_perf)\n\u001b[1;32m     14\u001b[0m \u001b[38;5;66;03m# Plot the true vs predicted plot\u001b[39;00m\n\u001b[0;32m---> 15\u001b[0m \u001b[43mplot_true_vs_predicted\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtest_elastic\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mpredicted_values\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43melasticity_NN\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m/mnt/disk1/projects/Cement/02-Software_and_Models/SourceCode/cement_opt/ml/validate.py:87\u001b[0m, in \u001b[0;36mplot_true_vs_predicted\u001b[0;34m(true_values, predicted_values, name)\u001b[0m\n\u001b[1;32m     85\u001b[0m     ax \u001b[38;5;241m=\u001b[39m axes[row, \u001b[38;5;241m0\u001b[39m] \u001b[38;5;28;01mif\u001b[39;00m num_dimensions \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m1\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m axes\n\u001b[1;32m     86\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m---> 87\u001b[0m     ax \u001b[38;5;241m=\u001b[39m \u001b[43maxes\u001b[49m\u001b[43m[\u001b[49m\u001b[43mrow\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcol\u001b[49m\u001b[43m]\u001b[49m \u001b[38;5;28;01mif\u001b[39;00m num_dimensions \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m1\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m axes\n\u001b[1;32m     89\u001b[0m \u001b[38;5;66;03m# Scatter plot of true vs predicted values for the current dimension\u001b[39;00m\n\u001b[1;32m     90\u001b[0m sns\u001b[38;5;241m.\u001b[39mscatterplot(x\u001b[38;5;241m=\u001b[39mtrue_values[:, i], y\u001b[38;5;241m=\u001b[39mpredicted_values[:, i], ax\u001b[38;5;241m=\u001b[39max)\n",
+      "\u001b[0;31mIndexError\u001b[0m: too many indices for array: array is 1-dimensional, but 2 were indexed"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x500 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "########################################################################################\n",
+    "#\n",
+    "#                    Validation of the neural net\n",
+    "#\n",
+    "########################################################################################\n",
+    "# Print the loss per epoch\n",
+    "#plot_loss(hydration_history, 'Hydration', train_input.shape[0])\n",
+    "\n",
+    "# Evaluation of performance of the network\n",
+    "predicted_values = elasticity_NN(test_input.to_numpy()).numpy()\n",
+    "model_perf = evaluate_predictions(test_elastic, predicted_values)\n",
+    "#model_perf.to_csv('model_perf/elasticity_NN_2^15.csv')\n",
+    "print(model_perf)\n",
+    "# Plot the true vs predicted plot\n",
+    "plot_true_vs_predicted(test_elastic, predicted_values, 'elasticity_NN')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "id": "a7f48e1b-57a0-4de8-b6d0-c18fadd87743",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
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+       "       18.534683 , 15.873626 , 21.942081 , 17.799994 , 17.499346 ,\n",
+       "       14.413839 , 18.384508 , 15.660436 , 21.036404 , 18.715721 ,\n",
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+       "       16.686443 , 18.93445  , 47.830784 , 21.829111 , 17.588314 ,\n",
+       "       20.066868 , 19.06788  , 51.554615 , 40.14188  , 51.33856  ,\n",
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+       "       20.879034 , 58.37097  , 34.03489  , 24.376907 , 18.037165 ,\n",
+       "       20.766945 , 32.10764  , 35.86958  , 17.62977  , 29.946993 ,\n",
+       "       36.55745  , 16.59149  , 13.90823  , 60.689396 , 20.092878 ,\n",
+       "       20.641302 , 30.906689 , 14.355099 , 20.373014 , 18.674599 ,\n",
+       "       14.798216 , 15.794003 , 20.401283 , 18.705387 , 21.333792 ,\n",
+       "       48.305542 , 22.461737 , 17.901518 , 15.377213 , 20.69499  ,\n",
+       "       39.056854 , 39.44543  , 15.157265 , 16.110731 , 27.393774 ,\n",
+       "       15.069114 , 20.085419 , 40.907112 , 24.302322 , 28.281876 ,\n",
+       "       18.798168 , 20.96759  , 18.076923 , 16.747252 , 16.353476 ,\n",
+       "       20.079342 , 14.956897 , 15.386175 , 34.672726 , 14.379518 ,\n",
+       "       45.050076 , 17.311687 , 24.384756 , 14.84415  , 18.130669 ,\n",
+       "       16.152084 , 19.15573  , 15.625241 , 45.144592 , 56.74174  ,\n",
+       "       50.92675  , 15.949256 , 38.63414  , 43.729404 , 25.231606 ,\n",
+       "       16.983313 , 47.569233 , 24.583029 , 17.794895 , 17.707298 ,\n",
+       "       16.19411  , 53.800827 , 35.33267  , 29.342573 , 41.589607 ,\n",
+       "       15.812343 , 17.955605 , 20.623686 , 19.446005 , 50.578033 ,\n",
+       "       30.081287 , 17.962816 , 19.149446 , 59.802807 , 20.084423 ,\n",
+       "       17.9196   , 31.657303 , 20.690454 , 39.70803  , 16.335056 ,\n",
+       "       17.320297 , 18.919998 , 18.32049  , 59.36246  , 19.402716 ,\n",
+       "       22.165506 , 21.381447 , 18.686419 , 15.535577 , 18.31441  ,\n",
+       "       35.89285  , 50.3811   , 56.903896 , 21.807049 , 40.43701  ,\n",
+       "       19.679989 , 23.087852 , 19.384314 , 14.020258 , 29.769588 ,\n",
+       "       18.970497 , 39.914562 , 15.837984 , 14.565394 , 20.07167  ,\n",
+       "       46.780922 , 21.082527 , 20.34202  , 17.010168 , 37.643887 ,\n",
+       "       17.883696 , 17.93167  , 51.92845  , 19.54057  , 24.145535 ,\n",
+       "       51.358387 , 40.866554 , 37.627    , 20.453495 , 18.951757 ,\n",
+       "       17.705252 , 18.073442 , 15.595491 , 38.52266  , 53.64951  ,\n",
+       "       16.344769 , 18.438726 , 43.008877 , 29.947994 , 17.163315 ,\n",
+       "       24.961542 , 19.44082  , 19.862259 , 47.94989  , 22.309298 ,\n",
+       "       20.90679  , 15.888387 , 29.040493 , 18.062336 , 43.493736 ,\n",
+       "       16.739252 , 17.64057  , 18.728659 , 14.107522 , 18.678158 ,\n",
+       "       36.299164 , 21.168728 , 54.575985 , 51.60045  , 16.06215  ,\n",
+       "       18.824963 , 20.253807 , 58.17161  , 17.257711 , 17.057426 ,\n",
+       "       17.806688 , 17.671358 , 24.41721  , 17.81706  , 39.17526  ,\n",
+       "       47.54808  , 16.830673 , 20.222971 , 30.28126  , 40.119755 ,\n",
+       "       18.777424 , 16.046904 , 33.133774 , 21.57933  , 52.780674 ,\n",
+       "       42.891094 , 16.487284 , 14.829617 , 17.408503 , 30.562801 ,\n",
+       "       21.801376 , 19.276258 , 17.929657 , 20.393482 , 19.539093 ,\n",
+       "       31.639893 , 20.775297 , 19.904242 , 41.177345 , 18.679773 ,\n",
+       "       27.613285 , 18.765915 , 20.545967 , 13.792337 , 26.230186 ,\n",
+       "       17.029741 , 22.898132 , 15.462721 , 56.932476 , 18.029686 ,\n",
+       "       23.067732 , 57.914593 , 15.7793045, 24.03849  , 20.431534 ,\n",
+       "       59.68873  , 19.435518 , 41.536926 , 20.615055 , 45.25469  ,\n",
+       "       34.207542 , 16.474709 , 19.659555 , 19.578526 , 50.792404 ,\n",
+       "       24.588745 , 19.088577 , 17.866066 , 17.376234 , 13.990266 ,\n",
+       "       45.038525 , 18.144894 , 19.27702  , 52.566105 , 58.87688  ,\n",
+       "       23.35028  , 14.08786  , 19.389725 , 15.853988 , 47.149548 ,\n",
+       "       23.120098 , 20.932276 , 18.298698 , 43.024124 , 42.18735  ,\n",
+       "       21.776598 , 16.007301 , 18.310305 , 20.969482 , 17.779596 ,\n",
+       "       26.412304 , 57.768875 , 61.826706 , 17.301542 , 19.178646 ,\n",
+       "       13.812019 , 30.459654 , 19.034374 , 18.564487 , 19.816154 ,\n",
+       "       20.197205 , 57.388523 , 19.827759 , 21.167864 , 18.491526 ,\n",
+       "       24.474733 , 15.821101 , 18.81721  , 16.361143 , 52.327236 ,\n",
+       "       36.272293 , 43.60238  , 26.918106 , 16.769173 , 16.95893  ,\n",
+       "       22.413946 , 46.838943 , 21.162445 , 16.699675 , 20.472816 ,\n",
+       "       18.052208 , 22.753788 , 21.750298 , 50.23189  , 19.84929  ],\n",
+       "      dtype=float32)"
+      ]
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "predicted_values[:,0]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "id": "df37a59b-ce37-42af-8bc8-0f6a8da6bdf1",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[<matplotlib.lines.Line2D at 0x7f9b3c43d930>]"
+      ]
+     },
+     "execution_count": 29,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import matplotlib.pyplot as plt \n",
+    "plt.plot(test_elastic['K'], predicted_values[:,0],'*')\n",
+    "plt.plot(test_elastic['K'], test_elastic['K'],'*')\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "id": "22769c53-8616-4b8c-9c22-772a090edcb8",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[<matplotlib.lines.Line2D at 0x7f9b3c4c08e0>]"
+      ]
+     },
+     "execution_count": 30,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.plot(test_elastic['G'], predicted_values[:,1],'*')\n",
+    "plt.plot(test_elastic['G'], test_elastic['G'],'*')\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "c3524fb7-ce9b-4eeb-a5cf-a13bc15e6e6a",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "   RelativeError  MeanSquaredError  CoefficientOfDetermination\n",
+      "0       0.022040          0.955405                    0.994611\n",
+      "1       0.017229          0.104238                    0.994233\n",
+      "2       0.016837          0.701256                    0.994779\n",
+      "3       0.036612          0.000216                    0.275144\n"
+     ]
+    },
+    {
+     "ename": "FileNotFoundError",
+     "evalue": "[Errno 2] No such file or directory: 'plots/elasticity_NN_predict_vs_true.png'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mFileNotFoundError\u001b[0m                         Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[14], line 15\u001b[0m\n\u001b[1;32m     13\u001b[0m \u001b[38;5;28mprint\u001b[39m(model_perf)\n\u001b[1;32m     14\u001b[0m \u001b[38;5;66;03m# Plot the true vs predicted plot\u001b[39;00m\n\u001b[0;32m---> 15\u001b[0m \u001b[43mplot_true_vs_predicted\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtest_elastic\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mpredicted_values\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43melasticity_NN\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m/mnt/disk1/projects/Cement/02-Software_and_Models/SourceCode/cement_opt/ml/validate.py:105\u001b[0m, in \u001b[0;36mplot_true_vs_predicted\u001b[0;34m(true_values, predicted_values, name)\u001b[0m\n\u001b[1;32m    103\u001b[0m save_folder \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mplots\u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[1;32m    104\u001b[0m plot_filename \u001b[38;5;241m=\u001b[39m os\u001b[38;5;241m.\u001b[39mpath\u001b[38;5;241m.\u001b[39mjoin(save_folder, \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mname\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m_predict_vs_true.png\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m--> 105\u001b[0m \u001b[43mplt\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msavefig\u001b[49m\u001b[43m(\u001b[49m\u001b[43mplot_filename\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    106\u001b[0m plt\u001b[38;5;241m.\u001b[39mshow()\n",
+      "File \u001b[0;32m/mnt/disk1/anaconda3/envs/gems/lib/python3.10/site-packages/matplotlib/pyplot.py:1134\u001b[0m, in \u001b[0;36msavefig\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m   1131\u001b[0m fig \u001b[38;5;241m=\u001b[39m gcf()\n\u001b[1;32m   1132\u001b[0m \u001b[38;5;66;03m# savefig default implementation has no return, so mypy is unhappy\u001b[39;00m\n\u001b[1;32m   1133\u001b[0m \u001b[38;5;66;03m# presumably this is here because subclasses can return?\u001b[39;00m\n\u001b[0;32m-> 1134\u001b[0m res \u001b[38;5;241m=\u001b[39m \u001b[43mfig\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msavefig\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m  \u001b[38;5;66;03m# type: ignore[func-returns-value]\u001b[39;00m\n\u001b[1;32m   1135\u001b[0m fig\u001b[38;5;241m.\u001b[39mcanvas\u001b[38;5;241m.\u001b[39mdraw_idle()  \u001b[38;5;66;03m# Need this if 'transparent=True', to reset colors.\u001b[39;00m\n\u001b[1;32m   1136\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m res\n",
+      "File \u001b[0;32m/mnt/disk1/anaconda3/envs/gems/lib/python3.10/site-packages/matplotlib/figure.py:3390\u001b[0m, in \u001b[0;36mFigure.savefig\u001b[0;34m(self, fname, transparent, **kwargs)\u001b[0m\n\u001b[1;32m   3388\u001b[0m     \u001b[38;5;28;01mfor\u001b[39;00m ax \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39maxes:\n\u001b[1;32m   3389\u001b[0m         _recursively_make_axes_transparent(stack, ax)\n\u001b[0;32m-> 3390\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcanvas\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mprint_figure\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfname\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m/mnt/disk1/anaconda3/envs/gems/lib/python3.10/site-packages/matplotlib/backend_bases.py:2193\u001b[0m, in \u001b[0;36mFigureCanvasBase.print_figure\u001b[0;34m(self, filename, dpi, facecolor, edgecolor, orientation, format, bbox_inches, pad_inches, bbox_extra_artists, backend, **kwargs)\u001b[0m\n\u001b[1;32m   2189\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m   2190\u001b[0m     \u001b[38;5;66;03m# _get_renderer may change the figure dpi (as vector formats\u001b[39;00m\n\u001b[1;32m   2191\u001b[0m     \u001b[38;5;66;03m# force the figure dpi to 72), so we need to set it again here.\u001b[39;00m\n\u001b[1;32m   2192\u001b[0m     \u001b[38;5;28;01mwith\u001b[39;00m cbook\u001b[38;5;241m.\u001b[39m_setattr_cm(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfigure, dpi\u001b[38;5;241m=\u001b[39mdpi):\n\u001b[0;32m-> 2193\u001b[0m         result \u001b[38;5;241m=\u001b[39m \u001b[43mprint_method\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m   2194\u001b[0m \u001b[43m            \u001b[49m\u001b[43mfilename\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   2195\u001b[0m \u001b[43m            \u001b[49m\u001b[43mfacecolor\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mfacecolor\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   2196\u001b[0m \u001b[43m            \u001b[49m\u001b[43medgecolor\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43medgecolor\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   2197\u001b[0m \u001b[43m            \u001b[49m\u001b[43morientation\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43morientation\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   2198\u001b[0m \u001b[43m            \u001b[49m\u001b[43mbbox_inches_restore\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m_bbox_inches_restore\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   2199\u001b[0m \u001b[43m            \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   2200\u001b[0m \u001b[38;5;28;01mfinally\u001b[39;00m:\n\u001b[1;32m   2201\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m bbox_inches \u001b[38;5;129;01mand\u001b[39;00m restore_bbox:\n",
+      "File \u001b[0;32m/mnt/disk1/anaconda3/envs/gems/lib/python3.10/site-packages/matplotlib/backend_bases.py:2043\u001b[0m, in \u001b[0;36mFigureCanvasBase._switch_canvas_and_return_print_method.<locals>.<lambda>\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m   2039\u001b[0m     optional_kws \u001b[38;5;241m=\u001b[39m {  \u001b[38;5;66;03m# Passed by print_figure for other renderers.\u001b[39;00m\n\u001b[1;32m   2040\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdpi\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mfacecolor\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124medgecolor\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124morientation\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m   2041\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mbbox_inches_restore\u001b[39m\u001b[38;5;124m\"\u001b[39m}\n\u001b[1;32m   2042\u001b[0m     skip \u001b[38;5;241m=\u001b[39m optional_kws \u001b[38;5;241m-\u001b[39m {\u001b[38;5;241m*\u001b[39minspect\u001b[38;5;241m.\u001b[39msignature(meth)\u001b[38;5;241m.\u001b[39mparameters}\n\u001b[0;32m-> 2043\u001b[0m     print_method \u001b[38;5;241m=\u001b[39m functools\u001b[38;5;241m.\u001b[39mwraps(meth)(\u001b[38;5;28;01mlambda\u001b[39;00m \u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs: \u001b[43mmeth\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m   2044\u001b[0m \u001b[43m        \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43m{\u001b[49m\u001b[43mk\u001b[49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mv\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mk\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mv\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mkwargs\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mitems\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mif\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mk\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mnot\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mskip\u001b[49m\u001b[43m}\u001b[49m\u001b[43m)\u001b[49m)\n\u001b[1;32m   2045\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:  \u001b[38;5;66;03m# Let third-parties do as they see fit.\u001b[39;00m\n\u001b[1;32m   2046\u001b[0m     print_method \u001b[38;5;241m=\u001b[39m meth\n",
+      "File \u001b[0;32m/mnt/disk1/anaconda3/envs/gems/lib/python3.10/site-packages/matplotlib/backends/backend_agg.py:497\u001b[0m, in \u001b[0;36mFigureCanvasAgg.print_png\u001b[0;34m(self, filename_or_obj, metadata, pil_kwargs)\u001b[0m\n\u001b[1;32m    450\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mprint_png\u001b[39m(\u001b[38;5;28mself\u001b[39m, filename_or_obj, \u001b[38;5;241m*\u001b[39m, metadata\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, pil_kwargs\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m):\n\u001b[1;32m    451\u001b[0m \u001b[38;5;250m    \u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m    452\u001b[0m \u001b[38;5;124;03m    Write the figure to a PNG file.\u001b[39;00m\n\u001b[1;32m    453\u001b[0m \n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    495\u001b[0m \u001b[38;5;124;03m        *metadata*, including the default 'Software' key.\u001b[39;00m\n\u001b[1;32m    496\u001b[0m \u001b[38;5;124;03m    \"\"\"\u001b[39;00m\n\u001b[0;32m--> 497\u001b[0m     \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_print_pil\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfilename_or_obj\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mpng\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mpil_kwargs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmetadata\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m/mnt/disk1/anaconda3/envs/gems/lib/python3.10/site-packages/matplotlib/backends/backend_agg.py:446\u001b[0m, in \u001b[0;36mFigureCanvasAgg._print_pil\u001b[0;34m(self, filename_or_obj, fmt, pil_kwargs, metadata)\u001b[0m\n\u001b[1;32m    441\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m    442\u001b[0m \u001b[38;5;124;03mDraw the canvas, then save it using `.image.imsave` (to which\u001b[39;00m\n\u001b[1;32m    443\u001b[0m \u001b[38;5;124;03m*pil_kwargs* and *metadata* are forwarded).\u001b[39;00m\n\u001b[1;32m    444\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m    445\u001b[0m FigureCanvasAgg\u001b[38;5;241m.\u001b[39mdraw(\u001b[38;5;28mself\u001b[39m)\n\u001b[0;32m--> 446\u001b[0m \u001b[43mmpl\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mimage\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mimsave\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    447\u001b[0m \u001b[43m    \u001b[49m\u001b[43mfilename_or_obj\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mbuffer_rgba\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mformat\u001b[39;49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mfmt\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43morigin\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mupper\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m    448\u001b[0m \u001b[43m    \u001b[49m\u001b[43mdpi\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfigure\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdpi\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmetadata\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmetadata\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mpil_kwargs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mpil_kwargs\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m/mnt/disk1/anaconda3/envs/gems/lib/python3.10/site-packages/matplotlib/image.py:1656\u001b[0m, in \u001b[0;36mimsave\u001b[0;34m(fname, arr, vmin, vmax, cmap, format, origin, dpi, metadata, pil_kwargs)\u001b[0m\n\u001b[1;32m   1654\u001b[0m pil_kwargs\u001b[38;5;241m.\u001b[39msetdefault(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mformat\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28mformat\u001b[39m)\n\u001b[1;32m   1655\u001b[0m pil_kwargs\u001b[38;5;241m.\u001b[39msetdefault(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdpi\u001b[39m\u001b[38;5;124m\"\u001b[39m, (dpi, dpi))\n\u001b[0;32m-> 1656\u001b[0m \u001b[43mimage\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msave\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfname\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mpil_kwargs\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m/mnt/disk1/anaconda3/envs/gems/lib/python3.10/site-packages/PIL/Image.py:2436\u001b[0m, in \u001b[0;36mImage.save\u001b[0;34m(self, fp, format, **params)\u001b[0m\n\u001b[1;32m   2434\u001b[0m         fp \u001b[38;5;241m=\u001b[39m builtins\u001b[38;5;241m.\u001b[39mopen(filename, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mr+b\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m   2435\u001b[0m     \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m-> 2436\u001b[0m         fp \u001b[38;5;241m=\u001b[39m \u001b[43mbuiltins\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mopen\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfilename\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mw+b\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m   2438\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m   2439\u001b[0m     save_handler(\u001b[38;5;28mself\u001b[39m, fp, filename)\n",
+      "\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: 'plots/elasticity_NN_predict_vs_true.png'"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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n//zzT4n3Kcv9fvnlF4Obm5uhRYsWhnPnzpXpekIIUdNJLLdPYnn1jOVGSUlJhmnTphnat29vcHd3Nzg7OxsaNmxoeOCBBwyfffaZVWV5cWtRGAwGQxXk+kIIIYQQQgghRK0na7qFEEIIIYQQQohKIkm3EEIIIYQQQghRSSTpFkIIIYQQQgghKokk3UIIIYQQQgghRCWRpFsIIYQQQgghhKgktb5Pd0FBAefPn8fT07NCe+kKIYQQN8JgMHD16lUaNmyIg4M8Ay+JxHIhhBDVUVljea1Pus+fP09AQEBVD0MIIYSw6cyZMzRu3Liqh1GtSSwXQghRnZUWy2t90u3p6QkU/kF4eXlV8WiEEEKIQhkZGQQEBJjilLBPYrkQQojqqKyxvNYn3cZpaF5eXhKohRBCVDsyXbp0EsuFEEJUZ6XFcllEJoQQQgghhBBCVBJJuoUQQgghhBBCiEoiSbcQQgghhBBCCFFJJOkWQgghhBBCCCEqiSTdQgghhBBCCCFEJZGkWwghhBBCCCGEqCSSdAshhBBCCCGEEJVEkm4hhBBCCCGEEKKSSNIthBBCCCGEEEJUEkm6hRBCCCGEEEKISiJJtxBCCCGEEEIIUUkk6RZCCCGEEEIIISqJU1UPQAghhKgJ0rU6kjN1ZOTk4eXmjNpdibdKWdXDEkIIIYSZ6hivJekWQgghSnE+LZuXvtvHzuPJpm2RIWreHNKehj5uVTgyIYQQQhhV13gt08uFEEKIEqRrdVYBHGDH8WSmfrePdK2uikYmhBBCCKPqHK/lTbcQQghRjPnUNDelo1UAN9pxPJnkTF2VT1sTQgghbnXJmbpqG68l6RZCCCHMFJ+a9v7w20o8/mpO3s0YlhBCCCFKkFFKPK7KeC3Ty4UQQohrbE1Nc3EqOVR6ujpX9rCEEEIIUQqvUuKxp6szbNoEwcHw2Wc3aVSFJOkWQgghrrE1NS3uTBphGj+bx0eGqFF7yNRyIYQQoiqka3WcuJRJXGIqTo4KIkPUNo+LDFFTf+smeOABOHUKPvzwpo5TppcLIYQQ12Tk5KFSOhIdHkxogA+5+QW4K524u1U94Aix8SmmYyND1Mwf0l7WcwshhBBVoPhyMJXSkeWjOmMAq+rl/+cYj/ujjxadvGzZTR2rJN1CCCHENd5uziyOCmVFbAJLf403be/Zsi4v3dcSpZMDOTo9nq7OqD2qvu+nEEIIcSuytRxMq9MTvfIfpvdrzYx+rcnKzcfT1RkPpQMetw03HXd130E8W7W6qeOVpFsIIYS4RunkwIrYBIs32gC/HrmMLr+Adx7uSL36rlU0OiGEEEJA0XKw4rPTXJ0d2Z2YSpfgOnQM9OV8WjYvfLePc71eZOYvHzG1zwQ0f1/lzYDsm9q3W5JuIYQQgsKn5meuaK0SbqOY+BQyc/Kp53WTByaEEEIIC8blYLZmp4Vp/BgU2ois79fz58qN7Gw1EPwaM2LobADOX+vbvSQq9KbNWJOkWwghhKDwqXmqtvq2GxFCCCFEIS9XZ6LDg23OTouNT+HAqPE0+2EVg4GYAi++b9vL4pib3bdbkm4hhBC3rHStjuRMHRk5ebg4OeDv6VLi8dIeTAghhKh6ag8l3Zr6WbzhNprxy8cM+G+D6fPmFuE2r3EzH6RL0i2EEOKWZF71VO2hZP6Q9jTwduOrJ7ri4erExYwcXvpuH8mZOgAiQtQ4OSpI1968J+NCCCGEsOatUqJ0Kux+bb6uO+TVyQSaJdxtJ31NrrOL1XG5+QW4Kh1vWkyXpFsIIcQtx7zqqdpDyZePd+X1TQctpqiFa/z48vGuDP/0T1rU9+SJEDfS29/G8tFTGfvCIze1AIsQQgghChlnqamUjhbruptPepLAwztMx506lcSdvyey9fAlu+u/I0PUvDmkfaXHdIdKvboQQghRDRmrngLMH9LeKuGGwsJpszcdZM2TXenhmE5k9w60P3+MWW9EM/W7faRrdVUxdCGEEOKWdT4tm/Fr4uj17nZ+OJDEq31bsSI2gQ6ff0B/s4S7xfPfM+OXU8zs34bIELXd9d87rhVVq+yYLkm3EEKIW06G2Toufy+XEiuW5587z+PR95m2je8/xVSARQghhBA3R/He3MtjEmjX2JvY+BSaXTlrOi7khbXkOinZcTyZnLwClkSF0q9dA7ux/mbEdJleLoQQ4pbjZVYQLTNHb/e4RumXCBo0wfR53ICp/NCysCCLVDIXQgghbo50rY4L6TlE3RHI6LBgdiemsjwmgfMX0wCY0udZ/m7chq/b34NBUfRe+WpOHs38PTiZnFXi9Ss7pkvSLYQQotYwr0bu5eaM2l1ps0CK2kNJZIiaHceT8XB1tHmthhmX+HDtG7hdTOCMdz2GPfIGZ3zqm/ZLJXMhhBCi8pkXPjUK0/ixfcc7qFafwff+GaSqvPlfh3utzjXGaq9SYnZlx3RJuoUQQtQKtoKyvQIp3iolbw5pz9Tv9nEpI5dwjR8xZtPOWl5K4POvp5PpV4/0DrfzULcJJHmpLa6r9pAK5kIIIURlKj6l3GjRpD7UzUoDYPKlv5kedI/Vueax2vxhe0nHVRZZ0y2EEKLGsxeUSyqQ0tDHjSVRoTRVuzNnYDvCNX4AdE3cx1drplE3K41G3i7MGfe2VcI9f0h7aRsmhBBCVDLzwqdGh98ZYkq4ARrMmGqK4UbFY7XxYXtkiLrE4yqLvOkWQghR49kKykbGAinmAdVqGrrKmXcf7ohi9mzqrpkLgO6OLih//olXlSqeytRxNScPT1dn1B62p6wLIYQQomKZFz7FYODUggdMH3MdndkWd5q1/5xh/pD25OQVlBirjQ/bk6sgpkvSLYQQosbLKKUAinmBFHvT0N//ayUen3xo2qbc9gt4eOANkmQLIYQQVcC0FrtYwn1Z5UPnCV/wk9qdtx/qUOY47a2qmgfnknQLIYSo8cpaIMXeNPQH35mCh1l/T1JTwcOjwscphBBC3GrKWuTUFuNa7PsXzzBtS/BtQI8nPyEyRE0Db9ca8WBc1nQLIYSo8YxB2RbzAim2pqE/uP8X+psn3FlZ4ONTWUOt1ubNm0fnzp3x9PTE39+fgQMHcvToUdP+vLw8XnrpJdq1a4e7uzsNGzZkxIgRnD9/vsTrrly5EoVCYfUrJyensn8kIYQQVeh8Wjbj18TR693tDHp/F73e2c6ENXGcT8su8zVe6duKlk89CsC51qH0Hb+8xtVXkaRbCCFEjVfWAinFp6GP+G8jb/+wCIBD/sHsib8IKtVNGXN1tH37dp555hn+/PNPtm7dSn5+Pr179yYrq7C/qVarZffu3UyfPp3du3fz/fffc+zYMfr371/qtb28vLhw4YLFL1dX18r+kYQQQlSR6ylyau58SibvvvEF9y7aycDTdbjz6RVMnfwBP0yMYElUKA2KdSapzmR6uRBCiFqhLAVSzKehR/+zngcP/ALAsk4DmN3zcbZ53roJN8BPP/1k8XnFihX4+/vz33//ERkZibe3N1u3brU4ZsmSJdxxxx0kJiYSGBho99oKhYL69evb3S+EEKJ2KW+RU3PpqVdpqPZiFnBu8HR+CenCBa+6XDiezIz1B1gSFVqJI694knQLIYSo0S5m5JCapSMjJx8vNyd8VUqa+dtej632UBKp8aPrsncY9+e3XHL3Zfo9T/F5aF8im9eV3tvFpKenA1CnTp0Sj1EoFPiUMiU/MzOTJk2aoNfr6dixI7NnzyY01PaXptzcXHJzc02fMzIyyj94IYQQVao8RU4taLV41/EyfVTlWU5FLy1hr45kerkQQogaKzEli8lf72HwB7vYcfwy51KzOXAunaNJGTanrXm7OLLyhT6M+/NbAD7pPIjPb+tHZPO6NWpt2M1gMBiYPHky4eHhtG3b1uYxOTk5TJ06lWHDhuHl5WXzGICWLVuycuVKNmzYwJo1a3B1dSUsLIzjx4/bPH7evHl4e3ubfgUEBFTIzySEEOLmKWuRUwtXr4K7u+njV+17s6H1XdaHlZLQVzcKg8FgqOpBVKaMjAy8vb1JT08v8QuBEEKImuV8WjYJyVlk5OQR4Kti39k05mw+jFanByDi2nruhsY1X7m5YLaG+PJb/8e5hx+rst7b1T0+PfPMM2zevJmYmBgaN25stT8vL4+HHnqIxMREfv/993L9DAUFBdx2221ERkayePFiq/223nQHBARU2z8rIYQQ1tK1OiasiWOHjSnmkSFqlkSFWsbe1FQwm1m1/Pb+vH73kzavvW1yd7uz2m6mssZymV4uhBCixjmfls1L3+5lZ3yKaVuERs3qJ7ry+Kp/TOvIpn63rzCo63PBPBjefz91X5hI3SoYe00wYcIENmzYwI4dO+wm3A8//DAJCQn8+uuv5U6EHRwc6Ny5s9033S4uLri4uFzX2IUQQlQPxiKnU7/bZ5F426w8fuUK+PmZPua8MIXfWw4GOwl7TVsOJkm3EEKIaq14f08PF6fCaqhmCTfAzvhkwMCKUXcw9OM/0Or07DieTMqlNLyD6xUdOGoUrFhxU3+GmsJgMDBhwgTWrl3L77//TnBwsNUxxoT7+PHj/Pbbb/iZfUkqz3327NlDu3btKmLYQgghqpi9XtxlKXIKwKuvFv1+9mxcX32VN9Oyy5aw1wCSdAshhKi2zqdlW7UbWf14F7vVUHfGpzBVAWO7N2Xh1uN45Grxf2RQ0QEvvggLFlT2sGusZ555htWrV7N+/Xo8PT1JSkoCwNvbGzc3N/Lz83nwwQfZvXs3mzZtQq/Xm46pU6cOSmXhl6ARI0bQqFEj5s2bB8CsWbPo2rUrISEhZGRksHjxYvbs2cN7771XNT+oEEKIClM4+2zftYffhSJD1Lx5bYmXt6ooyTYm5yeTsyySc15/HfbuhSeeKHw4Ttm6ktQUknQLIYSoluz190zLLrl4SlJGDj1a+PP+DwdY+c1reJw7XDi1fPNmCA+vzCHXeB988AEAd911l8X2FStWMGrUKM6ePcuGDRsA6Nixo8Uxv/32m+m8xMREHByKarWmpaXx5JNPkpSUhLe3N6GhoezYsYM77rij0n4WIYQQlS9dq7NKuFVKR9oH+HAqOYuk9Gy8VUrU7kqydHqLuK7OSmXGyV/otGoJDdVqiIkBhcLi+uYJe00mSbcQQohqyV5/Txen0htvOF26yPrPJlPg54e+rj+OP/4At99eGcOsVUqrrRoUFFTqMQC///67xeeFCxeycOHCGxmaEEKIaujS1VyrhHtxVCgrYhNY+ms8KqUj0eHB3N2qHimZuYwOC6ZDgA+/r93Opg/HAvDLw5m4b1pdK5Jre6q8Zdi5c+d49NFH8fPzQ6VS0bFjR/777z/TfoPBwMyZM2nYsCFubm7cddddHDx4sApHLIQQ4maw1d9TpXQECqeYvz/8NpaP6sz4nhrT9jCNHyf+PUjw4D60TD5N07QLnP01VhJuIYQQohIUn30WHR7MitgEYuNTTAl4XGIqA9+LZcyqf4le+Q8psX+bEm6A9xt1JTnTus1nbVKlb7pTU1MJCwujR48e/Pjjj/j7+3PixAl8fHxMxyxYsIB3332XlStX0rx5c+bMmcM999zD0aNH8fT0rLrBCyGEqFTF+3sag/fya8HcKEzjx+KoUFb/dZoJOccIfeIxANLrNeKhh2azwMuPJjd15EIIIcStwf3aQ2+j0AAflv4aD1gm4EYdzh9l3ufPmz4/Png6uxu1qnF9t8urSpPu+fPnExAQwAqzKrJBQUGm3xsMBhYtWsQrr7zC4MGDAVi1ahX16tVj9erVjB07tvglhRBC1BJqDyWRIWpT1VJbwRsgNj4FBxS8dOU/2r70jGl77yFvcNFdjWex5F0IIYQQFcNd6USYxs8Um3PzC0z7zBNwgM5nDvDN6qmmz3GffMUv8YW9tmt7rK7S6eUbNmygU6dOPPTQQ/j7+xMaGsonn3xi2p+QkEBSUhK9e/c2bXNxcaF79+7s2rXL5jVzc3PJyMiw+CWEEKJ6StfqOHEpk7jEVE5cziRdWzS9zNjfMzJEDRQG7+IJt1HT/62wSLj7j/2Qi57qGtnLUwghhKgJ0rU6dPoCJvYMYfUTXRjfU4Orc+Gbb5XSEWfHolQz6Mo5i4T74WFvcqFLJFAz+26XV5W+6T558iQffPABkydP5uWXX+bvv/9m4sSJuLi4MGLECFMbknr16lmcV69ePU6fPm3zmvPmzWPWrFmVPnYhhBA3xlY7MPMWI2DZLiRVq2N8Tw2hAT7k5hfg6uzI7sRU9n+xnlm/fGS6xt0TVhKvUtfYXp5CCCFEdWcrhkdo1AwJbcTdLf15pEsgjg5Flch7nvjX9PtBj75NXKOWjHVyuGVidZUm3QUFBXTq1Im5c+cCEBoaysGDB/nggw8YMWKE6ThFsdLxBoPBapvRtGnTmDx5sulzRkYGAQEBlTB6IYQQ18teO7Adx5OZ+t0+lkSFmgKwt0qJVqcHnGno7WpxfKeDf/Dc16+ZPp/af4K3vXxrdC9PIYQQojqzF8N3xifzxg+Hee2B1kxdu5/QQF/Cm/oSczKV5Z36U6BQ8GOLblz0VBOh8aOp2t0i3tdmVZp0N2jQgNatW1tsa9WqFd999x0A9evXByApKYkGDRqYjrl06ZLV228jFxcXXFxcKmnEQgghKoK9dmBQmHgnZ+pMQThdqyMmPpnGvm5s3n/BNMX8rhP/MnfnchxzczgfcTfu674jqI7XTfsZhBBCiFuReQw3tgQzn4WWX2AgLjGNej+u55O/vmT62AV8m+XJyk79USkdmde3Ne0be5Oq1WFcAV7bE+8qTbrDwsI4evSoxbZjx47RpElhndng4GDq16/P1q1bCQ0NBUCn07F9+3bmz59/08crhBDCvnStjuRMHRk5eXi5OaN2t/+mOT275NYg6WYtSJIzdbSo78n8n46YEu6H9m3lzZ+WcMq3IT/3eJDmX3xMQ0m4hRBCiEpnbOlZvCe3UUSImu8cD9Dq+zcBmPD9YvqsXkt+gYFgP3dmbzrItLX7TccXX1pWG1Vp0v3cc8/RrVs35s6dy8MPP8zff//Nxx9/zMcffwwUTiufNGkSc+fOJSQkhJCQEObOnYtKpWLYsGFVOXQhhBBmyrI+25xKWXL4UZm1IMnIycPRQWFKuOf+tJRhe38C4O/GrXml02OsNyhI1+pq/ZNyIYQQoqoZW3ra6yqiWbOMVtuKimMP6/oE51b9y/ieGj7745TV8baWltU2VVq9vHPnzqxdu5Y1a9bQtm1bZs+ezaJFixg+fLjpmClTpjBp0iTGjRtHp06dOHfuHFu2bJEe3UIIUU2Utj7bWJHcvFI5Cpg7qK1Fcm0UpvGzKL7i5eqMNlcPBgMH333QlHB/2mkA0+6bQIGDI1m5epIzS357LoQQQogbZ2zpaauryLg/vuY1s4T7jnGrOOftD5TchcS4tKy2qtI33QD9+vWjX79+dvcrFApmzpzJzJkzb96ghBBClFlJ67P/PZ1KWnYeSRk5nE3NRqFQsDsxleUxCdwe6MuykZ0Ys+rfa4XSChPu0WHBFBgMxCWm4uXmjIerE1dz8ji14AHTdQtQMKfn43CtqKa7iyNXc/JsjkEIIYQQ18fe0rE3h7Tn8IUMizXdgYveJGTHZ6Zzd+zcz6VNtjtO2VKb43iVJ91CCCFqtgw7QdK41uvVtfvZafZkO0zjx+KoUCauieP93+L56smunE3NxsXJgQPn07mSmYuPmzOXruaSqs0jJSObh7oEmc6/6FGHLs8UBfUIjRqFQYGnq4Q0IYQQoqKUtnRMq8s3reneu+xrPv96kem433cdxquhP8tG1iU3vwAXJwe83ZxLvJ+na8n7azL5hiKEEOKGeNkJkvbWehk/R4cHs/TXeEZn6jh0IYNOgb70adOA2ZsOmpJ0xwI9K2I+NJ17sklLej7ytulzhMaP0eFBJGfmEhroU8E/mRBCCFEzlae4qb3zS2vt6enqbIrzrdx90CsccDQU0HbS13Q8mMZoH1/GrCrqzz2+p4aIELXN2XGRIWrUHrVzPTdI0i2EEOIGGdd27SgWREMDfCyqmZqLjU8hOiwYAC9XJ46cTwcgLuakKSl3KNCzZP18Io/tQu/gyPbxr7K7bxTLrrUlcXFyIO5MGuNXx7F2XLdaW3xFCCGEKA9bb6jvaeXPzP5tyMkrKFMiXpbWngDn/94HdRpx2L8p94x5nzM+9chzdCYmPoXo8KYW5x29kMG8Qe14ee1+i+8MkSFq5g9pX6vjuCTdQgghbohxbdfU7/ZZJd4lyc0v7M7p5uzI4xHN8HB1MiXprnk5LNr0DuqsNHIdnRg/YCqjJ4xn6ad/WV0nMkRNfS/XivlhhBBCiBrM1htqldKRoXcEMuW7fRazz0pKxO0tHTO6mpNH0JOP8dvPm5ndYwzL7hjESb/GFsfk5OlNv48MUfP6gLY08HFjSVQoyZk6rubk4enqjNqjfG/hayJJuoUQQtywhsWCqJebMw4KWDayE7n5Bbg6O5oKqBmLprk4ORCu8ePHg0ks/TWe94ffBoBHrpZl371OlzMHuOzuw+BH3+ZgfQ1jnRys3qjfCk/HhRBCiLKy9Yba1nIve4m4cc22u4t1dxFzzYcNRBW7A4D7jv3Bss4DTcVNjZqq3Vk3rptVYu2tqv1JdnGSdAshhLByPWvBzIPo+bRsXvp2HzvjiwK/eQG10EAfLmXkMCosmIlr4oDCJDz4yjl++2QsABlKFU8NfJmD9TUAeLo63ZJPx4UQQoiysvWG2tZyL3t1V4xrtsf10BCm8bPZ4mvb/6agOnXI9PmRYfOsEu7IEDUNvF0lRl8jSbcQQggLpVUrLc3FjBxe+navRcVyKCqgNr1vK+5spmb93nPM3nzY9Ob73G+7TAk3QFTUXFPCHabxY3diGve3rU8zf48b/hmFEEKI2shWcVPjci7A1OLr3jb1aN3AizHhTa1mou04nsyosGBGX6u9Yp54x656hkZJRW3Afjlwnq5/nLZ6Wy6z0CxJ0i2EEMKkLNVKSwqi59OyOZWcZZVwG8XGp/Dc3c3JzM1j4dbjpu2dzxxgxPypps9PDZxmSrgjQtSMCQ9m3Je7uSOojgRxIYQQwg5bxU1dnByAolaeK2ITLN58m89EMybeufl6EpIzmdm/DXn5Bq7m5HFbWDucky6YzguashHV//YSHR5MdFgwufkFNFW7yxtuGyTpFkIIYVKWaqX2Amm6VsdL3+4jqktgife4dDWXOu5F1wi+co5vVhcl3NuWfMlDvXrR/1qF8ksZOabjr5ZS2EUIIYS4ldkqbhp3Jo1wjR8dA33L1MoToEkdFU3qqHh9Q2Ebzz5HYuhilnC3fvUHyCtAq9NbJPDrpJuITZJ0CyGEMClLtVJ7rmTpGBUWRF1PlxKv4eLkgJODgjCNHym7/uXz/0037Zv+8qd8ftYbzPp6AkRo1ESHB+Nppye4EEIIIQrZKm76SKcAEq9oy9TKMyJEjauTI9M3HDAl5Ns0Xfit6e04GAx8/PJ7RAf62ryWxGnbJOkWQghhYmstmDljMC1eaM3F0YE3Nh/ilyOXGd9TQ4TGz+YU8zCNH5eu5tLI143ZLZyoO/MtPLVpHPRvSsr3G/h84ymb990Zn8zTdzVD7SFPz4UQQojS2KoQfulqTonn5OYXEBmiZvbAtpxLyyb2eDIjd2/i+7Y9uerizuNDZqB3cASzBN1cZIha4rQdknQLIYQwsbUWzMgYTIsXWlMpHZnetxXP3tOcIZ0CcHVy5N7W9XD55Ti/HLlkOj9M48f4HiHk5OmZN+VD3vvfTJIaN8Wpx93kL/oYpbsXcMru2FycHWTKmhBCCHGdvN1KjqFN6qiYN7gdV3PzSMvM5dSCBwB44PAOhg57szDhtkOKp5VMkm4hhBAmttaCQVEwBawSbmNRlmlrD5iOD9P4MeXelozr0Qx9AbgpHXFQwNbDFzn9/go+2vAurvk6kvROzHt4OnODGnDiUmaJY/Mp5cuCEEIIIezzcHUiIkRts3ZLhMaPAkNh/ZbbGntyf8fGpn2nfBtaJdyBdVRsm9xdWniWkSTdQgghLBRfC2YeTE9cyrQI1vb6fMbGp7CAI4QG+hIZUpecPD0PfvgHS9fP59kjOwHYqrmD8QOmknvqKpk5+TTxUxGu8SPGxrR0mbImhBBCXL8LadnExCczvW9rZm86xM74olgepvFjZFgwQz/+g04NPYjqEmHa91fjNrzQ9zmLa0WEqPH3dJEkuxwk6RZCCGHF1lowsC60FhrgU2JRljHhTanj7kx2np7/fpmD35E/TfufHvgy+Y6FYehqTh7N/H15c3B7pq3db9UjXKasCSGEENcnXavj9BUt6/ac47UNB4kOD2ZUWBAA/l4ubDt8iYlr4sjX5vDZ031M52X2vIclUa+D2cPwcI0fcwa2lZhcTpJ0CyGEKLPihdZy8wtKPN5d6cisDQeZ+dJD+F05a9q+be8ZlN8eIP9aP1BjgbbGdVQstfOWXQghhBDWihc3Vbtbxs00bR5Lfj1ObHwKKmXRNPHc/AKu5uTTrpE3Tvp8Dr0zyLQvc8BgJg58iY4NvRl9rQe3i5MDcWfSmLPpEG8/1EFiczlI0i2EEKJM0rU6nBwUFuvBXJwcSjxHry+g/Wfv08ws4Q6esoFuf5819QMtPnXc3lt2IYQQoiYqLSm+EcWLm0Lh9O/ZA9riq3LGW6UkS5dvSriNdVjMZ6lFaNQsb1E0k+1/7e6h9XvL+HVJLL8euWzzvsmZOonV5SBJtxBCiFIZg/p/p1NZHBVKgcFAbHwKcWfSCNP4Wa3phsKiLI6vvsKLOz8H4Hi3u0n85HPe0xtwdXZE7aHk6IUMXh8g09SEEELUTraS4sgQNW8OaU9DH7cbuna6Vmd1bYCdx5OZvm4/L9/fiszcfLTXZpXZq8OyMz6ZAk0Dhr84n/XH0/m5RTe+ytGXeO+rxZabiZKV/IpCCCHELc88qGt1eiauiSM00JdlIzvRKdCXOQPbEhGitjgnvKkvi/Z/S53ftgBwbMpMZo6ezZjP/mPcl7uJXvkPb/18lNceaEODG/zSIYQQQlRH9pLiHceTmfrdPtK1uhu6fnKmzmYlcoCd8SmcT8/hpe/24ela+J41NMDHIuH21aazftVzdDu1h9j4FFxGj+TnFt0I0/jh5Kgo8d6exZabiZLJm24hhBAlKh7UtTq9xbS0nyZFMHdgW7LzCkjPycNVUUCjFyZQ59uvyPGsy8aXF/JVcFfrJ+vHk3l57X6WRIXKm24hhBC1TklJ8Y7jyTc8Rbt4cdPicvMLiIlPYXdiGhEhaos6LHUzr/DPeyMAWP2/V2k5+Vty8wsI0/gxOiyYmPhk+zPZpKNIuUnSLYQQokT6ggKWjexEbn4Brs6O7E5MZXlMgmm62snLWXz512km9Awh2FlPvcB6ABQ4OLJu6DO0fDSK2FX/2rx2RXzpEEIIIaqj0pLiG52iXby4aXHGuiuzNx1i88RwzqflANAg4zJ/fDDadNysXk+Q4+xKQB03QgN9mbgmDoDFUaE4oLBoLxau8WPeoHYSt8tJkm4hhBB2JaZkXevnWfSkO0zjx+KoUCauiUOr0+Pi5EBsfAoeV9P4aHJRq5GDi5dx95BBnE3NLvEesi5MCCFEbVRaUnyjU7TVHkoiQ9TssPE2PUzjR9yZNKBwhlry1VwCfN0Y4pXDO/OLEu5Xe4/ji9D7idCo+fngRYuZbGv+Os2osCBGhQWRm1+Aj5szTfxUNPJV3dC4b0WyplsIIYRNFzNyCntmF5taFhufworYBKLDg01BvX5GskXCvem+R3ngjJpB7+/C261yv3QIIYQQ1ZExKbaleOcOo3StjhOXMolLTOXE5cwS1317q5S8PqAtYRo/i+3GKeLLYxJM2xQKBR99tIl3XnnQtO2F+yfxRej9hGv8mDWgjcXxkSFqZvVvS7DaHT93JS3qedKmoZck3NepzG+6P/vsszIdN2LEiOsejBBCiOojNUtncy0XFCbez9yloX+HhpyNP8MLH4wy7bvw8kxue3EKkd/tY8fxZH4/dtnuujB7XzpE6SQuCyFE9eatUvLmkPZMvRYPjSJD1Mwf0t5qinZ5K52na3WkZOUSGujLc3c3Jz27cOZY3Jk002w0KEzCVanJvPHKI6Zz97/zIT3v6U+fa7238/QFbBwfztWcPDxdnVF7SPvOiqQwGAyGshzo6+tr/yIKBVlZWeTn56PXl1xe/mbLyMjA29ub9PR0vLy8qno4QghRY/ydcIWHP/rD7v7Vj3dh6ntb+OSLabRITgQg6Z2laB8bSdO6Hqa+pFm5eXi5KZmx/oDNLx23avXyG41PNTUuXw+J5UKImswYD0tKaNO1OsavibNZeC0yRG1VdNSYoI/qFsSYVf9a9OA2f8gdoVEzMiwIx4tJaAbeS0D6RR4fPJ1fQrpY3OP7p7txWxP7cUXYVtb4VOY33ampqTa3X7hwgVmzZrF8+XLuueee8o9UCCFEteTlWnKIyEtOYcVnL9HsylmSPOowfOgbNPTqyNsuhed5qyy/VCyJCi31S4coO4nLQghRMxSPh7aUp9K5eSuyDgE+ptlkE9fEER0eTHRYsGkNdn5SEk+v/o/Fw27n4WFv4qzPJ9G3gfUYS1kKJm7MdRdSu3r1KvPnz+f//u//aNOmDT///DM9evSoyLEJIYSoQr7uSsI1fsTYmBY+xCOL0AE9Oejhh1NBPo8OncMZn/qciE8hMyefejYe9pblS4e4fhKXhRCi5ipPpfPkTB3/nU5lfE8NtwX6Et5MzTM9NOw6kWLqLhKm8eNNn8sEPNSfVzrcS1zYQpre1lKWelWRcifdOp2OpUuXMnfuXNRqNStWrODBBx8s/UQhhBA1Sj0vV+YOasfLa/dbJN7DXa4wY9FkXFKSqaN2ou+oxWS6FBVWkWrkN5fEZSGEqPnKU+k8MzfPNJXcvNp4hEbN2nHdAEha/R0BT0QDMGzvz+zwVhAeEmKVnNtbXy4qVpmTboPBwGeffcaMGTPIz89n7ty5jBkzBkdHx8ocnxBCiCoU6OfOOw93JDVLx9WcfLw++YAWr78KwEH/pox4+HWLhBukGvnNInFZCCFqj5LafxV/E+2jUvLWz0et3lrvjE9mzqZDvO1wghbPR5u2vzx9JavXnwBOAIXJ+cbx4SgU4Ocus9BuhjIn3R06dODEiRNMmDCBSZMmoVKpyMrKsjpOCpwIIUTtUs/LlXperpx7dgqNFr9l2h4VNZcMVw+LY2WK2s0jcVkIIWqPkiqdzx3UjpQsHSeTs/B2cyZPX2Bz6ReA3/pvqbfpHdPnKTO/5Otsb4tjdsYnM2vjQavibKLylLl6uYNDUUtvhUJhtd9gMKBQKKpdlVSpeCqEELYZq6lm5OTh5eaMuqSn3c88A++/b/q4Y8d+PjqaaVkhNUTNglu4Gnl53Wh8qqlx+XpILBdC3CqKVzp3dXbgtQ0H+eXwJQDG99QQGuDDmFX/Wp07dO/PzP9pienz7q1/MvgX28XZALZN7k4zfw+7+0XpKrx6+W+//VYhAxNCCFH1ytUL9JtvLBLuLbFHcK7jS7S6Lk+EN0Wbp8fbzZlAXzdJuG8iictCCFH7mBcdtdVGLDTAx+Z5jdMvWiTc4U8t4+V6gYD9pFtqsNw8ZU66u3fvXpnjEEIIcZOYtxoxt+N4MlO/22c53Wz5cgxPPIHxPervcafYdymH5T/tJjTQh9FhwXz73xmejGyGl7QbuakkLgshRO1mq41Ybn4Bhy5kmNqEGZ318mflbf0YtXsTH365nbP7ruLi5FD8khakBsvNU/LfhBBCiFohXavjxKVM4hJTuZCRQ4cAH1RK64Jbxl6gAHzxBfkzXkNRUMDqDvfS9MX1jPrqAHGJqSyOCiUuMY1Vsad4MrIZQXVUsi5MCCGEqEC22oi5ODmwPCaB0WHBhGn86JK4n8ZpSaBQsPWplzmecJHFR7QAxJ1JI0KjtnltqcFyc5X5TbeDg4PNNWPmFAoF+fn5NzwoIYQQFcfWVPIIjR/rngnjxwMX+Gj7SbS6onW/V7N18MYb8OqrJDVsyjdhw/i/sCi4FgOMT9ajw4NZ+ms8Mx5oTX2ZVn7TSVwWQojazVYbsbgzaYQG+jBxTRyfHfyKTt+vIse/Pv98/RNnXH344USaKaYfOp/O8/e2oACDxVtxaRN285U56V67dq3dfbt27WLJkiWUsSabEEKISmCrMBpgcyr5zvgUZm08SL92DVk7rhtJ6bn8c/oKy3eepPljQ2Dn7wB8E9zVIuE2io1PITosGICsXEnqqkJlxOV58+bx/fffc+TIEdzc3OjWrRvz58+nRYsWpmMMBgOzZs3i448/JjU1lS5duvDee+/Rpk2bEq/93XffMX36dE6cOEGzZs144403GDRoULnGJ4QQt5LibcRUSkecHRW81q8NZ4eOoNOOdQC4Xkpi+aE0ht9VnzmbDwOFD9eHdWnC46v+4ZE7Annl/lbo8gvwdHVG7SFtwm62MifdAwYMsNp25MgRpk2bxsaNGxk+fDizZ8+u0MEJIYQoG3uF0V4f0Jb/TqfaPCc2PoUx4U15fdMhQgN92ZtwmUNz7jftP/zCa/yfY2e798zNLwBkTVhVqYy4vH37dp555hk6d+5Mfn4+r7zyCr179+bQoUO4u7sDsGDBAt59911WrlxJ8+bNmTNnDvfccw9Hjx7F09PT5nX/+OMPhg4dyuzZsxk0aBBr167l4YcfJiYmhi5dupT/hxdCiFuAeRuxf08XLu1aEZtAs0lj6Xfgd9Nxv/93kkfdVDgqFLz9UAdcnByo6+nCIx//iVanZ+mv8Qzq2IjWDb3t30xUqjK3DDN3/vx5XnvtNVatWsW9997LvHnzaNu2bWWM74ZJmxEhRG1nq7qpUUSImg4BPiz9Nd7muZ+NuYMRy/5m0xOdaKupb9q+p0FzUrbtsNmSxGjZyE6s2nVK+nxep4qMT5UVly9fvoy/vz/bt28nMjISg8FAw4YNmTRpEi+99BIAubm51KtXj/nz5zN27Fib1xk6dCgZGRn8+OOPpm333Xcfvr6+rFmzxur43NxccnNzTZ8zMjIICAiQWC6EuKWka3WkZOnILzDg7KBgxvoDjJg/iXvi/zId0+L578l1so7B7w+/jXFf7gYKH8JLrK4cZY3l5Sqklp6ezksvvYRGo+HgwYNs27aNjRs3VtuEWwghbgW2qpsa7TyebLe9CICvyhllfp5Fwr1VcwcDR7xL3Jk0wjR+Ns8L0/hx6WqurAmrYpUdl9PT0wGoU6cOAAkJCSQlJdG7d2/TMS4uLnTv3p1du3bZvc4ff/xhcQ7Avffea/ecefPm4e3tbfoVEBBwoz+KEELUKOfTshm/Jo6e72yn98IdnEzO4tEFz1kk3CEvrLWZcAOmyuWyfrt6KPP08gULFjB//nzq16/PmjVrbE5rE0IIcfPZqm5aFmEaP/SZWXzyfdEU5HNDhvGEZhgAy2MSWBwVCmBRgCUiRM3sAW3xVTlLEK9ClR2XDQYDkydPJjw83JTEJyUlAVCvXj2LY+vVq8fp06ftXispKcnmOcbrFTdt2jQmT55s+mx80y2EELcCW609C5KTuff4n6bP7/xwgDvOXbWIz0YRIWoC66jYNrm7rN+uJsqcdE+dOhU3Nzc0Gg2rVq1i1apVNo/7/vvvK2xwQgghrBUvmObhUvI/5f5eLlb9PMM0foy5vT5Bwx/EJ2E3eS5ujOv7PI/MHg/XppRrdXomrokjOjyY6LBgcvMLCKjjhpeLM03U7pX6M4rSVXZcHj9+PPv27SMmJsZqX/Gq6QaDoUyV1Mt6jouLCy4uLuUcsRBC1A62ZrA5qNU8NOxNhhz4lZfvfQbXP87YfDBufLPdQLqKVCtlTrpHjBhRakAVQghRuWwVTHvrwfZEhKhtr+nW+HH4fAahgb6mxNnFyYHDBxNoMGwI+Q568jy9GDnkNXbVa0GLM2kW1zIWYIHCRL1f+4bc37a+1X3EzVeZcXnChAls2LCBHTt20LhxY9P2+vUL/+6TkpJo0KCBafulS5es3mSbq1+/vtVb7dLOEUKIW5X5DLYp21eS6F2fuJ4alD26MzWgcOaR+YPxZ+7S4OrsiLebVCavrsqcdK9cubJcFz579iwNGzbEwaFcy8aFEELYYWu6GcD59Gym9WmJwXCYGPNp4Bo1o8ODUKBg/d7zpuS5buYV1q6dSePzJ0ltFET/x97lsGdhMrU8JoEfJkYwff0Bi/uEafyY0DOEoDoqCebVRGXEZYPBwIQJE1i7di2///47wcHBFvuDg4OpX78+W7duJTS08A2LTqdj+/btzJ8/3+5177zzTrZu3cpzzz1n2rZlyxa6detWrp9BCCFuBcb+3AcWPoSHLhuAIQEteHryQ0DRm22tTs++M2kMvyNQ3mxXc2VOusurdevW7Nmzh6ZNm1bWLYQQ4pZSfLqZSulIdHgwPVv6k5mTz0v3tWJSvp7LmbkoHR2o465k+KeFBVeMU8Td/4yla/QIAHL86/PgfS9xwrPozXVYMz/clI7M6NeatOw83JWOuDo54uSgwFvWcNdoZYnLzzzzDKtXr2b9+vV4enqa3k57e3vj5uaGQqFg0qRJzJ07l5CQEEJCQpg7dy4qlYphw4aZrjNixAgaNWrEvHnzAHj22WeJjIxk/vz5DBgwgPXr1/PLL7/YnLouhBC3OrW7M6fm9zN9zvP0YszEITgqFEzoGcKs/m3IzMmXnts1SKUl3dfRiUwIIUQJzKebqZSOLI4KZfVfhcWrQgN8SM7S4aNyRlPXg6S0HJwdFUSHBxMa4ENufgF1f/uZ9s+MNF3jyP828Ur9AHYnprI8JoGwZn5M79eaF77Za9Xv+02pfFrjlSUuf/DBBwDcddddFttXrFjBqFGjAJgyZQrZ2dmMGzeO1NRUunTpwpYtWyx6dCcmJlq8Ue/WrRtfffUVr776KtOnT6dZs2b873//kx7dQghRnMGAt4er6eNVD2/ajfsSrrX/iri2Zlvj72nvCqIauq4+3WXh6enJ3r17q/xNt/TpFkLUFicuZdLr3e0AjO+p4dD5dIZ1acKK2ASLIirhGj9evLclCgXM/+kIsfEpDDrwKws3v2s6pv+Id9nXoDlQVI1cpXTk+WIJt5H0+Kx4Nzs+VZe4fD0klgshbgkFBeDoaPqoC2zC7t/+w9nRgZ3HL/PxjpNodXqJydVIWeNTpb3pFkIIUTGM1cr1BoOpyJmx93bxhBsgJj4FheIofdrWJzY+hdBzRywS7rvHvE+8OtD0eefxZGasP8DsAW3t9vvecTyZ5EydBHghhBAC604iaveiad4l7bOroADM6micbqyhe9Qi+LiwTViERs3SYaGMXx1nEZOv617ippOkWwghqjHzauXGKeUGg4Hc/AJCA3xMxdGK23k8mVHdgrjz9D4+/e510/awp5Zzztvf6vgdx5PJ0uWXOJar19kPXAghhKhNbHUSMS7FUgBT7OxreK3Ymc1E2aGA/CZBOCUmclTTnnuHzLW45874ZMBAdHgwS3+NJys3r8RxNJTCatVKpZUWl/ZiQghxY4pXKze2B+kY6EuTOipy8wtKPN91978s2TAf97wcYpp04Oc/420m3EZanb7E63leq6YqaiaJy0IIcePsdRLZcTyZqd/t4/ejl23ue+m7fZxKziThciZxiWmcvqJl25FLDPy/7Ty/8g/O5xhIXPU/9nzwhVXCbbQzPsU0083bTVniONK1uor7ocUNq7SkWwqpCSHEjSlerRyK+mb/eDAJHzf7SXC/wzu4c9RATvk2ZEOrSMY8+BpOXh4l3s/bzZnIELXNfZEhatQeMl2tJpO4LIQQN85WbDbacTwZfy8Xm/t2Hk/mxOUsXl1/gHyDgfGrd3Pw+AX2v9GPMW9PYvqav0lzUHI+rGeJ98/NLyAyRI1OX1DqkjBRfZQ76V65ciVarbbU4w4dOkSTJk2ua1BCCCEsq5UXtzwmgUa+boRr/Kz2PfHX9yze+BYO+fmc9fZnUr/nyXVSEncmjTAbx0NhUu3v6cKbQ9pbJd6R1yqlyhqx6knishBC3DwlxWagxFloufkFxMansCI2gbG31WXF+B4A3Jmwh4yYP1EpnXBxKjk983FzZv6Q9mTmypKwmqTcSfe0adOoX78+Y8aMYdeuXXaPCwgIwNGs+p4QQtyq0rU6TlzKJC4xlROXM0ud8mU8Pr/AwPJRnRnfU4NKafnvqVanp6DAwJuD2xNhliTv+HAMr/y+HAeDgXMPP8a3z75BgUPhuctjEhjfQ0OExjKpjghR8/qAtpxKySInT89bD3Vg2+TurBvXjW2Tu7MkKpQGsjas2pK4LIQQlc8Ym0tLikvab9y3/8Bpnh3UybT9zLBo/gloi6ODgktXc+0+II8IUROkdqeBjxtepSz5kiVh1Uu5C6mdPXuWzZs3s3LlSnr06EFwcDCjR49m5MiR1K9fvzLGKIQQNVZ5i5ycvaJl2vf72BmfgkrpyJORTbm7ZT0iQ+ripnQAg4Kd8Zeo6+GK3mDAoC/g/rb1GXVnE+66LRjH3BzTtU7OepspHkqmOSg4naLFxcmBv09d4fYgX0aFBaHTF9DY140DZ9O5f/FO05pu4/ia+Zc8HV1UDxKXhRCicpnH8vE9NYRp/Kw6hwBEaPy4mJFj4wqF++LOpOGrTSduyXDT9g+6PEiTqXPgy904Oii4q3ldgtXuABb3iNCoeWNgW9N3B7WHksgQNTvstPmUJWHVyw316b506RJffPEFK1eu5MiRI9x3332MGTOGBx54AAeHSlsuXi7S21MIUVXStTrGr4krc9/rc6lapny3j9hrCffSYaGsiElgp1nQDdP4Mat/G9784TAtG3oTl5hK7PFkTi14wHRMvsKB0R/H0iHQl6W/xvP5mDt4bNnfVmMY31NTeL6NLw7SA7TyVUZ8qglx+XpILBdCVJXisdzYSaR4y84IjZrR4UEoUPBpzEmLfWEaP157oA2Pz9/IjoVFCffJ8S/S0707y0Z2YtWuU6a4m67VkarVkaXTo83V4+nmhK9KST0vV4uxnU/LZup3+ywSb+OSMJmhdnPclD7d/v7+hIWFcfToUY4dO8b+/fsZNWoUPj4+rFixgrvuuutGLi+EEDVaacVWzPtep2t1nE7RmoL0k5FNrRJuKHzqPXPDQToG+hIa4MN7244xe+uHpv3nPOsSNm4FxKcwKqyw32cdd9uJc0ktx6Qvd80kcVkIISpW8Viu1emZ+t0+3n6wA7P6tyE3vwBtrh4vNyf2nkljwc9HeeSOQKLDgsnNL8DFyYGLGTn8tPcMG99/0nSd35+Ygt/UaYT9eIRLV3Mtaqd4q8rWa7uhjxtLokJJztRxNScPT1dn1B7Sp7s6uq7H3hcvXuTtt9+mTZs23HXXXWRkZLBp0yYSEhI4f/48gwcPZuTIkRU9ViGEqFFKK7ZiXuQkOVNHWnYeKqUjk+4OoXeb+kR1aWJzTXfMtZYhuhwdb29eyGNxP1CAgo87DypMuK8xFnNxQGFzfVhpLcekCEvNIXFZCCEqR/FYrlI68taDHXBxduC1DQfpuziGhz76g3sX7WTj3gssiQpleUwCY1b9y7gvd7My9hSdgupgcHTi/3qOAuDI9HmMq9+DrFw9cwa2pVV9D7R5+utq8+WtUtLM34OOgb408/eQhLuaKveb7gceeICff/6Z5s2b88QTTzBixAjq1Klj2u/m5sbzzz/PwoULK3SgQghR05RW5ETp5MCJy5l4uDih0+sJrOPG4qhQVsYmsOiX46bjwjR+LI4KZeKaONO66zxtNu3nzyDnwnHyHBx5vu9kNrTubnF9Y0sxvaGA0dfeeptPd/MuoeUYSBGWmkLishBCVJ7isTw6PJgL6dls3n/BannWzvhkwMCG8WGcTinsKnHkQAKvvLIC1653MH35PD7a9Sj/tycNrU6Pl6szfRfHWNVUsVXzRdRs5U66/f392b59O3feeafdYxo0aEBCQsINDUwIIWq6koqchGn8+OFAEkt/jSdc48eosGCcHRSsik0gxsaUcigM9Et/jcc1L4fOz47GL/Z3ztcLZNRDs4gN6mhxTmSImiZ+KiJD1BQYYPVfpwkN9LWY7paTpydc42d1P+P5UoSlZpC4LIQQlUftoeSeVv60aOBFaIAP7kon3F2deHntAZvH74xP4WJGLmNW/UvLSwn8tGICzwAP5C1kFhAa6AukMW9QW/SGAt5+qAOuzo7sTkxleUwCU7/bZ7G2OzlTR0ZOHl5uzqjdZep4TVXupLt79+7cdtttVtt1Oh1fffUVI0aMQKFQSC9QIcQtz1ul5M0h7a2KnIRp/BgdFszENXFA4XRxpZMDL/RuabWG2yg2PoXosGAaZFzmjw9GA6B1duHC3HegoDGYnWdeRGVJVCjp2jyejGzGkl+PW6zh7tmyLjP7t+X1jQdtFmGRwF4zSFwWQojK461SMr1fa6at3W+Koe8Pt/4311x6dh7tLxxjw2eTTdu0Slf2x6fwRHhTwkb68f5v8UwzS9zNZ7WlZBUWUStP9xNRvZW7ermjoyMXLlzA39/fYntKSgr+/v7o9foKHeCNkoqnQoiqZnxSnarVkZ6dR9yZNJbHJJimk0FhJfHQAB/GrPoXKFwzFh0eTGiAD7n5Bbg6O1L/wila9+xiOmfw8Lc40rQt0eHBdGvqh4uzAz5uSptFVC6kZfP7scv4e7qY3nRfuppLz+Z1cVU6ShGWKlBR8ammxeXrIbFcCFFVbHUiWTaykyle2/JtuwI6Pdrf9HnEQ7PY0fR2AH56NoI3Nh+y+ZA9QqNmcu/muCkdiUtMY/amQxbfFUC6i1Q3lVa93GAwoFAorLafPXsWb2/v8l5OCCFqPWMV0rjEVLtBOjTAx/R783YkxqfqbZLi2bxqkumYf6a/zfxnniQrN79MiXIDHzfub1vfIrnu1MTXolKqqJkkLgshRMWwNZ3bVieSuDNpdnt1j807RadHx5s+PxI1lz8D21scY29W2874ZEaFBTHm/X9t1nMB6S5SU5U56Q4NDUWhUKBQKOjVqxdOTkWn6vV6EhISuO+++8p185kzZzJr1iyLbfXq1SMpKQko/CIxa9YsPv74Y1JTU+nSpQvvvfcebdq0Kdd9hBCiOiipsFpufgGHLmQQpvEjNNDXov9n4/SLFgn3xteWMiEniG0KBR0Dfct8/7K2IBE1Q2XEZSGEuFWdT8u2OZ17Yq8Q02fjLLROgb480L4BczYdvlY8rdBTeSeZ+u5E0+fBj77F7katLK6n1eWXOA5jZ5Hi9VzMSXeRmqfMSffAgQMB2LNnD/feey8eHh6mfUqlkqCgIIYMGVLuAbRp04ZffvnF9NnRsagtzoIFC3j33XdZuXIlzZs3Z86cOdxzzz0cPXoUT0/Pct9LCCGqUkmF1bzdnFkek8DiqFDcnB1NAbZpylm++N+rpuOiHnmDx4c+CKv+laB7i6usuCyEELeadK3OKuGGwrfKT3VvBljPQjMm4E/f1QwHBwXa3HzaPPCi6dxXp69kt05t+hym8WNcDw3uLiWnXy5ORR2djfVcipPuIjVPmZPu1157DYCgoCCGDh2Kq6trxQzAyYn69etbbTcYDCxatIhXXnmFwYMHA7Bq1Srq1avH6tWrGTt2bIXcXwghbgbjlLWJvUJ4+q5mxJ5IMa3rDtf44enqRGigDxPXxPHho4XrvupnJPO/NVOpm5XGcb8AHh06m4ueakboC5+CS9C9tVVWXBZCiFuNrSnkRrtOphARoqZDgI/FLDStTs/SX+NZ+mu8aZbarF7PMV+3mPS3FtImqDnLvIrqqMSdSSN65T9M79e6xM4mcWfSLLYZ33wbSXeRmqnca7pHjhxZoQM4fvw4DRs2xMXFhS5dujB37lyaNm1KQkICSUlJ9O7d23Ssi4sL3bt3Z9euXXaT7tzcXHJzc02fMzIyKnS8QghRXramrEWEqNk4IRwF4O7ihDY3n9cHtGXmhoPk6QsIPXeEZd+9ztG6TUjy8GPkw69zRVW4Prexrxv3tPKXoCuAio/LQghxq9EXFLBsZCdT4dL959IwGKBdI290+gL6tW9AQYGB5THWrRc7nznAHTv30vaTd1nq25BHhr3JsvbtmGanhsvsTYf4YWIEM9YfKLGziZH5m2/pLlJzlSnprlOnDseOHUOtVuPr62uzYIvRlStXynzzLl268Nlnn9G8eXMuXrzInDlz6NatGwcPHjSt665Xr57FOfXq1eP06dN2rzlv3jyrdeJCCFFZzIuueLg4oXR0IC1bh4drYQEWwOaUtZ3Hk5m14aBFBdLTyVn0aVuf4L1/seab6bjmZgMw5NG30TkVvtWO0Kg5fD6Dmf3bSNC9hVVWXBZCiJrsevpaJ6ZkMXvTIf5LTCM6PJjbAn3pGuxHgcFgMSstIkRtVdhs5H8bmfXLRwAcWN0eaAdYv50u3pEkJy+ftx7qQGZOPunZeeTk6dl1MsWqaFpkiBpNXQ/Wjesm3UVquDIl3QsXLjStoV64cGGJwb08+vTpY/p9u3btuPPOO2nWrBmrVq2ia9euAFb3slel1WjatGlMnlzUEy8jI4OAgIAKGa8QQpiz9Qbb+KQ66pO/6NTEl1f6trI7Zc28Amm6Vser6/Zz33uzaLrnJwD2t+pM9H0vmRJu43qwv0+lkJNXYPOa4tZQWXFZCCFqKnuF0Erqa30xI4dpa/cTl5hm1TUELHtn7zyeTIHBYCps9tSf3zJ1+0rTsckDHoTvjgKWb6dtdSQxH1szfw/Op2Xz4fYTVgn3/CHtaeDjRhPcb/jPR1StMiXd5lPXRo0aVVljwd3dnXbt2nH8+HFTgZikpCQaNGhgOubSpUtWb7/Nubi44OLiUmljFEIIsF90pXi10ZGp2SVex1gMLTlTx7C3nqfPsV2mfb8s+JSlzepZrAcbs+oflkSFShG1W9zNistCCFETlFQIbep3++z2tU7N0hEbn8L4nhqL9dpGsfEpOADvDQulwFD4BjuwjoqwVYu50yzhfvqdzTRLLUqYL13NNa3bjg4Ptnlt87E19HFjSVSoRVtPeatdu5R7TfcPP/yAo6Mj9957r8X2LVu2oNfrLd5el1dubi6HDx8mIiKC4OBg6tevz9atWwkNDQVAp9Oxfft25s+ff933EEKIilBS0RV71UZtMRZDq9enJ82O/WPa3mLyd+TGnIGYM1bn5OYXSBE1YVKZcVkIIWqCkmKyvb7W6VodV3MK23eFBvhYteUy2hmfwsv3t+LnQxdp18gb1csv0Xb1R6b9Yxf9xEO9O5rWYkeGqOnRvC7dm9dl6nf7Sry2+dikrWft5lD6IZamTp2KXq+32l5QUMDUqVPLda0XXniB7du3k5CQwF9//cWDDz5IRkYGI0eORKFQMGnSJObOncvatWs5cOAAo0aNQqVSMWzYsPIOWwghKlRGKW+ajeu54s6kERGitnmMqQLpokV47C5KuH/dd5ZcZ/szdnzcnKWImjCpyLgshBA1UWkxufjssPNp2YxfE2c6r/gabHMqpSOODg78e+oKP0+eS9PPihLuxBPnmD26O03V7qx+vAvbJndnSVQo9X3cTG+vvdxKfkguM9duDeVOuo8fP07r1q2ttrds2ZL4eNtPcew5e/YsUVFRtGjRgsGDB6NUKvnzzz9p0qQJAFOmTGHSpEmMGzeOTp06ce7cObZs2SI9uoUQVc6jjH02l8ckMHtAW6vEO0zjx7i7muHwxhx47jkALvvVJ3jKBnZfyCRM42fzuuEaP5r4qeRpuDCpyLgshBA1kVcps7/MZ4eZT0WPO5NGmMbPYg12cdHhwczedJCY+BQ6Xjhq2t7quW955bczuDg50LSuBx0DfWnm72ERn71VSuqUEq9l5tqtodzTy729vTl58iRBQUEW2+Pj43F3L98i/6+++qrE/QqFgpkzZzJz5sxyjlIIISqX0tGBMI2f1RotsOyz2amJLyqlI/e3a8CobkFF67MTU9n+9Mu0/Pv7wpNef5288c8T8f1+lscksDiqcFmN+fUjQtTMG9SORr6qSv/5RM1RkXFZCCFqIrWH0m7v6+J9rc2nohvj7cWMHCI0fuy0EdPvbOrHh1uPgKMTr/Yex6F6zfiqfW/yHZ3YaWfq+vWOTdReCoPBYCjPCU8++SR//vkna9eupVmzZkBhYB8yZAidO3fm008/rZSBXq+MjAy8vb1JT0/Hy8urqocjhKgl9p5J5XKmzqo4SoTGj+kPtOHHAxc4cDad1we0RavT0+vd7aZjFIYCZm/5gEf3/Mgh/2DqPj+RulMmAUXtTrJy8/B2U6LTF5CVmy9FVWqhiopPNS0uXw+J5UKI0pxPy2bqd/ssklvzCuBGcYmpDHq/qGipSunI2O5NeaB9Q6avP2AR08M0fiz8eQkZv+7gkWHzSHb3tbrvunHd6Bhovf16xiZqnrLGp3K/6X7rrbe47777aNmyJY0bNwYKp4lHRETw9ttvX/+IhRCiBvFwcSbqk794MrIpU/u05FJGLlC4hnvge7Hc3sSXeYPa0cDHjX9PFfVJdsnX8ePy8TRNPU8BCj4L7csjj4yk7rX9UkhFlJfEZSHErS5dqyMnT8+r/VpTYDCgzdXj7Wb7YXXxqehanZ6FW48D0LddA6LDgk2z0loP6o3/0X34A8P2/MTisCire5dlerhUJxfXNb18165dbN26lb179+Lm5kb79u2JjIysjPEJIUS1pPZQ0qmJL/kFBt788YjVNPOdx5N5ee1+3nqoA7prBVo8crUcWPSw6ZhnH3iBja2784Ss5xI3QOKyEOJWVlJ/bm+V0jSDLCMnDy83ZzxcnbinlT9bD1+yuM5H20+yYlRnlv4Wz87jyWz5dBwNUhJN+5fe+TDFlWd6uDxUv7WVO+mGwrXWvXv3pnfv3hU9HiGEqBaKB2m1u9KqOMqbQ9pzKjmrxFYgqVk6dp1M4b56Dnw4uShgr+5wLxtbdydC1nOJCiBxWQhxK7qYkcOp5Cyi7ghkdFgwuxNTWR6TwI7jyby2/gCvPdCGaWv3WyXkcwa2BbBIvDs18SXA143729bnk1cH45py3rRvb+IVwn4+xs546+nhkkiLsijTmu7Fixfz5JNP4urqyuLFi0s8duLEiRU2uIog68CEEOVV0lPzhtfWXhmT8pSsXDJz9aZAr9VZtm76euydjP/gN/5+60HTtqV3PszbkSMI0/gxe0Bbmtb1uDk/mKhWbiQ+1eS4fD0klgshijufls1L3+61KH4WpvFjdFgwE9fEER0ezN7EVJvF0SJD1Lz1UAcyc/ItpnsnZ+rwD/DHU5dtOjZoykZULk5EhwfTt10DsnX2p66LW09Z41OZku7g4GD+/fdf/Pz8CA4Otn8xhYKTJ09e34griQRqIUR5pGt1jF8Tx3+nU4kODyY0wIfc/AJcnR25mJHD/W3rk6XTWyXl5oHePPHe+mhrcu6+h3YXTwBw7KVZxA9/orCC+Zk0Boc2kqT7FnUj8akmx+XrIbFcCGHOGKt32qgIHqbxIzTQl9AAH8as+tfuNbZN7k4zf8v4e3HcJOp98H8A6J2c+X3fGdN3gN2JqXRu4kvLBl5k5uTbnQknbi0VWkgtISHB5u+FEKK2Sc7U8d/pVBZHhbIiNsFi6niYxo9uTf2YvfmQVaA3ruke270peXoDoQE+OKWlEjjkflwuniBF5c3jg6cTR0v4cjdQ+KT9iXD7CZMQ9khcFkLcyszbfhUXG59iKoZWklStjrjEVIvEWR/ZHT74P7IbNubxWd8Qa5a0h2n8GBzaiFe+38cvRy6bthefCSeELfY7wdvx+uuvo9VqrbZnZ2fz+uuvV8ighBCiqmTk5BEdHmzVCgwKA/mr6w/QsoHtJ5lxiWn0adOAuMRUXlu8GZ/B/Tmakc8V37qcWfcTR4PbmI6VtWCiokhcFkLcatKzdSXuz80vwMet5CKl6dl5DHp/F73e/p135q3hfFo27v37smHtzsKE28Z3gNfWH6BlQ2+L7TuOJzP1u32ka0sek7i1lbtPt6OjIxcuXMDf399ie0pKCv7+/uj1ejtnVg2ZkiaEKI8TlzI5lZLFmFX/olI6Wk0x352YSqdAX0at/Mfq3PE9NexNTOXcX3v58utXaZCRTHq7UP5duAxVUACNfdxI1epwd3E2FU8rqVibqN0qKj7VtLh8PSSWCyGMzqdlcyo5i2Gf/mX3mNWPd6GJn4pp3++36I1tZJyC/v4vRzn51gAAFj89l5FvP8+FjBzuW7TT7rWXjexkc9q6renqovartD7dBoMBhUJhtX3v3r3UqVOnvJcTQoibrqTK5GoPJadSslApHe1OMX+gfQNUSkerommhAT6cX/wRn29eCMC5BkEMjniWi1vPA+eJuPZ2u6GPW5mKtQlRFhKXhRC3inStjpe+20eHAB/CNH5Wb6MBIkLUNPP3oJ6XK28Oac/U7/ZZJN7GGiyTv/jHlHADJB8/TXKmDm1ufoljsDdt/WpO3nX+VOJWUOak29fXF4VCgUKhoHnz5hYBXq/Xk5mZyVNPPVUpgxRCiIpSWrLrrVLS2NetxCnmczYdJjo82KpVWMBnH/PutYQb4IEH3+CKqmga2s5rU9DeeqiD1RigaIrakqhQeeMtSiVxWQhxqzGu5TbWXgEs4nREiJoFQ9pTz8sVgIY+biyJCiU5U8fVnDyUTg78cCCJ5z//i33zihLu7cG38dntDzA4Jw9vt5Ljr4uT7dW5nq4lT2cXt7YyJ92LFi3CYDAQHR3NrFmz8PYu+iKpVCoJCgrizjvvrJRBCiHE9Sj+RtvDxYkZ6w+UmuzW93KlW1M/u/23d8Yn89RdzSz2/9+Bb2m+eaXpc7enl1sk3Ob3Ss2yXwBmx/FkkjN1knSLUklcFkLcCsxjeX5B4apYrU5vagtmLJrm4uRAYB0VDYrNFvNWFc1mO3Epk09/PsCRd4vaeP7QvBvjBr0MYGodFhmitjktPVzjR9yZNKvtkSFq07IxIWwpc9I9cuRIoLBNSVhYGE5O5Z6ZLoQQN42tN9oRIWpGdgti14kUq6nhxZNdRwfr6brm9AYDy0Z2Ije/gFb/bSd4/krTvl9+28f5nxLtnpuRU/LUNZmiJspC4rIQorYrHsuXjewEYLfmSrDavcTrqRV5Fgn3N23v5sW+k4CixNlbpbQ5LT0yRM2cgW2ZvemQxTWlMKooi3JHaE9PTw4fPky7du0AWL9+PStWrKB169bMnDkTpVL+gxNCVC3jmq/ib5N3Hk+mwGCwOTUcipLdlCwdKhfHEu+Rl1/AmFX/0u/wDu774V3T9n0HT+OmVAH2k24v15L/6ZUpaqI8JC4LIWojW7E87kwaPVvWZViXJlY1V8I1fjzSKaDEa3q/Nc/0+1W39eW1e54GrBPn4tPSjW/AvVVK3n6og83tQpSk3C3Dxo4dy7FjxwA4efIkQ4cORaVS8c033zBlypQKH6AQQpRXaf07QwN8bO4zJrv5BQb2n00nTONnsV+ldGR8Tw2rH++Cs6MD65pmsHDrUhzy81nb+i40L6zjioMrOXl6IjRqm/eIDFHj6144dc3efpmiJspD4rIQojayFcuXxyQw6e7mVjVXVEpHOgb6knhFy+7TVzhxOdN2C69p0+DOO8l+cwHhP37FunHd2Da5O0uiQm1OS2/m70HHQF+a+XvgrVJaTHX3dJOEW5Rdud90Hzt2jI4dOwLwzTff0L17d1avXk1sbCyPPPIIixYtquAhCiFE+WTk5NmderY8JsFm5VHzZLegwMCczYctirQUr2Y++t/1vLbtEw43D8WjcyivBg8hP8+ANk/PC9/sZXFUKAUYLL4UGJ+k26uoKlPUxPWQuCyEqI0ybCy10ur0JGfqTLFVpXTkycim9Grlz6WMXHLyC9h1MoXlMQl0auJbWCSVXFi0CF5+GXx9ITYWN4WCZuUcj3QdETfiulqGFRQUfmH95Zdf6NevHwABAQEkJ9t+sySEEDeTt5uz3XZfi6NC8VBaTh0vnuxqdflWRVrquCt5d8tRYo8n89q2jxn930YAtvsEs7P744xuUoelv8bj4uRgs8BLU7U7DbxdyzR1TYjykLgshKiNvOwstcrJK6zJYnwYvjI2gUW/HDftN8b6iWviWPDJVhZNuValPDERli8HGy0WS2Nv2Zp0HRFlVe6ku1OnTsyZM4e7776b7du388EHHwCQkJBAvXr1KnyAQghRXu4uTnbbfSmABQ92YNvk7naTXWO7EK1Ob0ral43sRMzxy5xa0N903Dvhw1nS7RE4cYXo8KYWVU3Nz40MUdsMyOYVVYW4XhKXhRC1kb0q4saWXSW19gR4rpkTT4zqU7Tj4YeveywlLVuTriOiLMq9pnvRokXs3r2b8ePH88orr6DRaAD49ttv6datW4UPUAghyipdq+PEpUwSr2gZE96U8T01qIq91Y6JTyFbp7dap2VO7aEkotiaa12OjgSzhPuoOpAlYVEWT8znDmrH0QsZFufJlHFR2SQuCyFqI2MVcfMaKCqlI+4uTkSEqAkN8LFKuI0u/LWXJ0bdU7Rh+XK4777rHoutqe7mpOuIKE2533S3b9+e/fv3W21/6623cHQsudqvEEJUFltrrcynmJm3CCtLcHymh4YCQ+GabCd9Pn1uCzTt292wBYMfe8fi+MA6KgL93KWqqbjpKjIu79ixg7feeov//vuPCxcusHbtWgYOHGjar7AzLXPBggW8+OKLNvetXLmS0aNHW23Pzs7G1dW1XOMTQtxaGvq48dZDHUjN0pGRk4+3mxP7zqQTHRZMgcFgs35L4vY/GTX/KdM1Ln64gnqjR93QOOxNdTeSriOiNBXW1FMCpxCiqthbaxUbn4ID8GRkU4v1Xp6uzhYVSD1cnHB1ciBTl09mrh5PFyeiV/5DdHgwYzo3pPXksaZzfw7pytjBr1rcJzJEjb+nCyBTxkX1cT1xOSsriw4dOjB69GiGDBlitf/ChQsWn3/88UfGjBlj81hzXl5eHD169IbHJ4SoXcxjsZebM2p3yxhq74H6mPBg6rhb12+pdzWZv94fZTp20TPzGf3YsBsep72p7iBdR0TZlDvp1uv1LFy4kK+//prExER0Osty/FeuXKmwwQkhRFmUtNZqZ3wKU/q05OMdJ9Hq9ESGqHF1dmD8mjiLc8I1fowKC2bimjjefqgDWp2eZT8d4I61b1D/VBy5js6cmjKDz5reDTYqkkuiLapKRcblPn360KdPH7v769evb/F5/fr19OjRg6ZNm5Z4XYVCYXVuSXJzc8nNzTV9zsjIKOFoIURNZJ5QG99Yd2vqh9LJAV93JR4uTsxYf8DmA3WAl+5rabWmu9eJf0y/P7zia4YO7Fch8dk41V26jojrVe6ke9asWXz66adMnjyZ6dOn88orr3Dq1CnWrVvHjBkzKmOMQghhYuupeGlrrS5l5BIdHsy+M2nMHdSO1zYctAriMfEpGCgszOLi5IBnbhZzf1pKQHoSWc6uPDH4VfY43U50oC/T+7YmJ08v08dFtVBVcfnixYts3ryZVatWlXpsZmYmTZo0Qa/X07FjR2bPnk1oaKjd4+fNm8esWbMqcrhCiGrEfIZa8ZacULh2e3q/1jx7dwhDbm+Mi1NR20+tTl84k02hKEq4DQZQKFh3Rz96NfXGrf8DOLdsjjJPT7q2YoqcSdcRcSPKnXR/+eWXfPLJJ/Tt25dZs2YRFRVFs2bNaN++PX/++ScTJ06sjHEKIYTdHpmv9G1V6rn92jXgsa5NSNPq+OXwJZvHxManEB0WzJEDCWz4fgbBiUfZWz+EZx94kX0NmoNOz74zaTwRHixBVlQbVRWXV61ahaenJ4MHDy7xuJYtW7Jy5UratWtHRkYG//d//0dYWBh79+4lJCTE5jnTpk1j8uTJps8ZGRkEBARU6PiFEFXHfIZa8Srk5kn4tO+L6lUUr9NyNScfgMiT/zHrlw959uEZTHx2EMtjfYj9PQV+/6NwfwX20pYlZOJ6lbt6eVJSEu3atQPAw8OD9PR0APr168fmzZsrdnRCCHFNST0ydyemWVUbNwq71sYrS5fPC9/s5cTlrBLv47JvD888fCfBiUdJ9/Rl2n0TChNuZBqZqJ6qKi4vX76c4cOHl7o2u2vXrjz66KN06NCBiIgIvv76a5o3b86SJUvsnuPi4oKXl5fFLyFE7WE+Q614FfKSWoGtiE0gOjwYAA9XR+49uovPvnmN4NQLfPT7BzbPM/bSTtdaLr0R4mYq95vuxo0bc+HCBQIDA9FoNGzZsoXbbruNf/75BxcXl8oYoxBClLhue/amQ2yeEM6r6w9YBNswjR+jr63T7tbUj53HkxkTFsz4nhqLSqfGKWsdjscRPv9l0/nfvfsl7/YNk6nkolqriri8c+dOjh49yv/+979yn+vg4EDnzp05fvx46QcLIWqskoqkmVcDz80vsDgvNMDHNM28OOOMtDCNH4rVa/ho3VzTvtMLFhO7y3YLMemlLapauZPuQYMGsW3bNrp06cKzzz5LVFQUy5YtIzExkeeee64yxiiEECWu29bq9OgNBvq1b0h0WDC5+QW4ODkQdyaNiWviuL2JL7tOpqBSOuLjriQuMdUioIdp/Fjjf5EOs4sS7qhH5uKsqMMQb1cJ0qJaq4q4vGzZMm6//XY6dOhQ7nMNBgN79uwxvZ0XQtQ+9paDGad5m1cDd3GynHhbPAm3ZWHGv/hPmWD63OOJj3gxuDns2m33HOmlLapSuZPuN9980/T7Bx98kMaNG7Nr1y40Gg39+/ev0MEJIYRRaT0yFQoIa+bH2dRscvMLTP2Ew5r5MfX+VjywJIbo8GDe+vmI1dSz1Nh/6LCyaN3rQ2P+j8FPDuS2QB9OJmfh5aazamMiRHVRkXE5MzOT+PiiB1IJCQns2bOHOnXqEBhY2Ks+IyODb775hnfeecfmNUaMGEGjRo2YN28eUFjorWvXroSEhJCRkcHixYvZs2cP7733Xnl/VCFEDVDScrCp3+1jSVSoRTXwuDNphGn8TLG5eBJeXMj/VuA/a5rp88erfuHVzm2p61nyzB7ppS2q0g336e7atStdu3atiLEIIYRdJfXIvLuVP7l5Bcz44aBFQh0RombeoHbk6QvQ6vQ2p6zddu4wK76Zafocs2EHb3TuyOxNBy0KuFRkIRYhKtONxOV///2XHj16mD4bi5mNHDmSlStXAvDVV19hMBiIioqyeY3ExEQcHIq+NKelpfHkk0+SlJSEt7c3oaGh7NixgzvuuOO6xiiEqN5KWg5mPs3bWA08JUvHoNBGzLzWWaR4Em5uNGcJNEu4P/zid0Jua4lKWZjSRGj82GnjPOmlLaqawmAwGEo7aMOGDWW+YHV7252RkYG3tzfp6elSiEWIGu58WrZVj8wIjR8v39+aOT8cshmgI0LUTO/bipQsHa7Ojgz/9C+0Oj0AzS+fYu3nL+Cel8M/jVqT+vX37MuEuMRUm9eKDFGbntALcaNuJD7V5Lh8PSSWC1H92FuzHZeYyqD3d9k9b924bnQM9LU638PFCW1uPvkFBvQGA+dSs1EoFKa6K6GBPoz3z+H2wfeg1OfTafznJLv7ArBsZCcmrIkzVT03j+HGIqgN5KG5qARljU9letM9cODAMt1UoVCg1+vLdKwQQpRUZMUW8x6Z6dl55OTp8XB14kJGjs0kGWDn8WTOpGYzZtW/RISoWToslCnf7uPlgnj6/28q6R1CyVUq2fXSQjrU8aWbv4PdAi5SiEVUFxKXhRBVqaQ1295uJU/j9nJztnn+Pa38ebVfa15ff8DibXVEiJqf+zfiT3wYs+EgDUYv4ZxXXXKcCzsnGLuUaHV6Jq6JIzo82FTfpananQZSm0VUA2VKugsKSi9oIIQQ5VFakRV7jD0yT1zKZPAHu/josdtxc3Ys8V7Goiw7jyfj4ujAd14JNJo8ASe9ntgsZ57rMZk7L+UyoJs7qdrcEq8lhVhEdSBxWQhRVdK1OmasP0CHAB9GdQuy6ATy2voDzBnUzu5ysMgQNe4uTrzwzV6rKegtGnjx8tr9Vg/Re7/3OgFxP+A1YxYbm9zLDp3e4nrjemiIXvkPUFhY1fjgXGanierkhtZ05+TklNqfUwghiitrkZUSr5GtQ6V0JNjPncuZJSfK5kVZXl/wBA0P7wVgbeu7ePH+SegdHImJT+GVdft55f5WJV5LCrGI6kzishCisqVk6XjkjkBWxCZYzAyL0Pgx/YE25Or0zB/SnpeKLQczTvPOzMm3uebbVt2Vdza9w5CDvwHg9sVnLNk7hWRtPldz8kytPLU6PZ2a+Nq8lyTcorood9Kt1+uZO3cuH374IRcvXuTYsWM0bdqU6dOnExQUxJgxYypjnEKIWqSsRVbsOZ+WTU5eAdHhwby+6SAdA33tFl0xTjsDiPkgmoYZl0z7JvebjEFRlJDHxqeg1ekJ1/gRI4VYRA0hcVkIcTPlFxis1k0D7IxPYdbGg/Rr35DuzeualoOZJ8jGNd+2FG8V9uHaN7jv2B+mz4d/3EEHD1e8PSzP81Zh915CVBcl1+S34Y033mDlypUsWLAApbLoP+Z27drx6aefVujghBC1U0k9t6HkKdzGt+S7TqZwZ9PC5Hh5TAKjw4IJ0/hZHBuhUTM6LJjlO09y7K2BNDZLuIOnbLBIuI0uZ+YyKiyYiBC1xXZ5ai6qK4nLQoibqaDAYLeOSmx8Cv6eLkz9bh8Azfw96BjoSzN/D1P8tNcC1HxW2udfvWqRcIe8sBYPH/tFqrxVSpv3EqK6KPeb7s8++4yPP/6YXr168dRTT5m2t2/fniNHjlTo4IQQtVNpPbdLmsJtfEv+3+lUwpsVJsa2iqe4ODlQx13J8E/+ZNLPn6AsyAegQOlC00nfFjb2tkHp6MCENXGsfyYMB4VCnpqLak/ishDiZtLq8kvcn5tfUOKsNXstQOPOpBGu8WPya6O47fxR03bNC+u4s2V9mWkmarRyJ93nzp1Do9FYbS8oKCAvTwoMCSFKV1LP7dKmcBvfkmt1erR5RcVUzIunGH0Z3ZlXNi1m+J6fANjf+g6ctm4l4odDNvt4mldAdVAoaObvYXWMENWNxGUhxM3k7VZy8mt8Y21v1pq3SsmbQ9pbtQA9fD6dearzBJgl3E1fXE+35v7MG9TOlMCXt/OJENVBuZPuNm3asHPnTpo0aWKx/ZtvviE0NLTCBiaEqF2KB8l5g9sxc8NBth4umvJdlincdVRKlo3sRG5+Af6eLkRo1OyMt07e7wryIWjhG3Q+/TcGhYLDr7/D/nsG0/hqLuN7hoBCYbGuPEzjx+iwYCauiZO126JGkbgshLiZSnpwbl5HpaRZa8VbgObm63F3ceLNXwp4rmtP/NMvE7PmRz53d6FJHRWN66iA6+98IkRVK3fS/dprr/HYY49x7tw5CgoK+P777zl69CifffYZmzZtqowxCiFqOHtBcu6gdky7vxUZ2WWbwn0+LZvZmw7RsqEXnQJ9UTopeO2B1ry28aDF+rLuTTx569s51N32E9mht3Nw+Dyu3D+A82fS+OXwRV7r14alUaEkZeRwNjUbKJzWNnFNHJ2a+MrabVGjSFwWQtxM3iplYfxeu7/MD6/tvZ02tgD9cNRMdrYJ58F72pP40SqO4YCLsyN/nEyhgber6Ro32vlEiKqiMBgMhvKe9PPPPzN37lz+++8/CgoKuO2225gxYwa9e/eujDHekIyMDLy9vUlPT8fLy34BBiFE5UjX6hi/Js5mtfKSemgWD9AeLk68vvEgg25rzIrYBEIDfYlLTOWO4DrU9XChnpcrufkFeGRcoes9d6DM1qJzUvLHmx/gO3QwZ1OzcXFyIO5MGr1b+dM+wNfiPrJ2W9xsFRmfalJcvh4Sy4W4Ocoydft8WjYz1h+gbSNvwjVq8gsMuLs4onJ24qeDF9iTmMYrfVuTV1BAgcGAk8KBmRsOWCzrMr2d9nYFh8Lp6Hvrh/DQ8AXonCzfkK8b142Ogb6cuJRJr3e32x37tsndZVmYuOnKGp+uq0/3vffey7333nvdgxNC3DrK0x7sYkYOqVodV3PyydcXEHuisDK5VqcnIkTN871bsHjbMWLjU4gOC2bpr/HEJaaxOCqU5bEJJOw+zK4Pok3X3//xap5OcGdppo5xX+42bR/UsZHp98Yn7ULUZBKXhRA3qixTt41vm/87ncojdwSy8JdjFjPNIkLUvN6/DWevaFm+K4HhXZrg6uxIVJcmjA5vyu7EVJbHJBS+nf52L589cafp3HRXD6uEG4qmqd9I5xMhqtp1Jd1CCFFWZQ2SiSlZTFu73yJ4h2n8WBwVykSzN+WjugXx58krpn6exsrlLwQWEG2WcJ+dPofHEtzR6vSolI6olI5odXpZry2EEEIUU9ap28YH6eN7amz36j6ezPT1B5jYK4RhXZqwMjbB4g23Ma4/u/o/i4T7sl99RgydbTUu85h9I51PhKhq5e7TLYQQ5VGWIHkxI8cq4YbCfp8rYhOIDg8GCoO5q7Mji6NCUTk7Fl0j5SLRT/Q1fX7+/uc4GvU4Wl1hdXN9gYHo8GDptS2EEELYUJZZaVD0ID00wMdur+6Y+BQ8XJxZUSzhhsK4vnJnPAfnFMVs2rUjL/4kkSFqi2MjrtV+McZsYwE3W+SBuqjuJOkWQlQqe0FSpXRk3uB2FBgMJKZoGRPelPE9NaiUjhbHxcanEBrgY/qcnp3HitgE9AYDYRo/Gqcl8fXqqab9Twx+laRBD5uqp4Zp/PjjZAp92zVgSVQoDaS6qRBCCGGhrLPSjA/SjbPN7MnMzbMZ1xWGAr4YG276nN25C+zbR0MfN+YNbsfqx7vw/vDbWDayEx0CfJi18SDn0woLnhpbjRX/TiEP1EVNINPLhRCVylY/TpXSkeWjOvPer/FM+36/6Vjz6eTGt9RgGdxdnByIjU/hiYimvN7RC98Xp1En7TKnfeoz6qFZNLyjval6qnkl1Z4t/CUgCyGEEDaUdeq28UG6sRe3PVdz8hmz6l+ruN7+wnHTMfvadKXJ79txo3B6+9Tv99t8256bXzS93bzVmBRAFTWJJN1CiEpXPEj6qpS8uu6AVX9t41S16PDCImlGxuBu0f/zyAHcxo0h37cOmX6+nPj4K95q2gSlkwNXMnV8Fn0Hvx+7bAr03m6y1ksIIYSwpaTe2+ZTt40P0rcfu0yYxs/mFHPzWF08ru9t2IIJD7zIxLAA6o593JQsl6foqhRAFTVRuZPuyZMn29yuUChwdXVFo9EwYMAA6tSpc8ODE0LUHuZB8sSlTKuE28hYmdzIGLzN31rfdu4wHUfMwTEjnV+bduK5vs+TvuU8cN503rKRnUyJu6z1ErWZxGUhxI2yNSsNbE/dbujjxp3BdegSXIfX1h+0iOfmsRoKZ7bdUVfJmNfGEDliHJk97uZiRju8W/rj7+VqOk8qk4vartxJd1xcHLt370av19OiRQsMBgPHjx/H0dGRli1b8v777/P8888TExND69atK2PMQogarrTgapxOHqFR82q/VlxIywFg4po4ntm6nGf+/AaAvxu35tn+L3LVxd3uNWStl6jtJC4LISpCeaZuX8rUMe7L/5g/pD1T+rRAm6snMzefuDNpphlmKqUj7/dtyl1dWwBwx5+xtH/2Kzq0C6J787oW15PK5KK2K3fSbXxavmLFClMD8IyMDMaMGUN4eDhPPPEEw4YN47nnnuPnn3+u8AELIWq+0oJrkzoqNk8IR+nkwLwfD/PrkcsAzPtxMVH7tpiOG/nQ62QrXW1eI8hPxbbJ3WWtl6j1JC4LISpKaVO307U6kjN1KIAFD3Yw9d1eEhXKmFX/Whw7rr2PKeEGWHrnw2S4erCzWBsyKPv0diFqKoXBYDCU54RGjRqxdetWq6flBw8epHfv3pw7d47du3fTu3dvkpNtTx+9mTIyMvD29iY9Pd30ZUQIUbUuZuTwwjd7ba7fCtP40TmoDm0bebP6r9O0buhNaIAPbceNoN7vRQn3N9sOsO7kVZvrySJD1BbB3PglISMnDy83Z9TukoiLqldR8ammxeXrIbFciKp3Pi3bqpd3hEbN8/e2YNeJy8TGp5hisjorlX+XPmY6blFYFIvCh1tcb9vk7jTz97C4vr3p7dJ5RFRXZY1P5X7TnZ6ezqVLl6yC++XLl8nIyADAx8cHnU5X3ksLIaqhik5Yz6VqOXNFy6t9WzFn0+ES14JFhwcTGuBDs7WrLRJusrMJzzEQEKQFsEi8I4pNJ7f1JSEyRM2bQ9rTUIK4qAUkLgshKovxO0B6to7c/AI6BPjw3+lUU4eRnfHJGDAwZ2BbwjV1WfDTEeJ3H+XPD0aZrjH3rtF83GWI1bWLr9OWyuSiNruu6eXR0dG88847dO7cGYVCwd9//80LL7zAwIEDAfj7779p3rx5RY9VCHGTVXTCevaKlpe+30dsfAoqpSPR4cE8dVczHB0UGAwGtDo9E8zahS39NZ43ErbS6+v/K7pIXh44OdHAtbBAy9yB7cjS5ZsqlPt7uli84S4+fiishFp8apsQNZXEZSFEccZkOTM3Dx+VEl1+AZm5+eV6eG7rO4Ct1p4x8SmcS8vhfGo2cyIbEfTEnabjp9/zFJ/f1s/m9W2t05bK5KK2KnfS/dFHH/Hcc8/xyCOPkJ+fX3gRJydGjhzJwoULAWjZsiWffvppxY5UCHFTXW/Cau/NeLpWxx8nknnpvpYAaHV6nB0d2Hn8MvvOptG6oTd3NvUr6s9tMPDy5b8Ztvb9ws8vvgjz54NCYbpXacG5PC1IhKipJC4LIcwZk+X/TqeyOCqUBT8ftZgRVpaH5/a+A9hr7ZmenUcdDyXzN/3HouBmuCScQPv+R5xWdgBZpy1E+dd0G2VmZnLy5EkMBgPNmjXDw8Oj9JOqgKwDE+L6nLiUSa93t9vdX3wtFpT8Zjw/v4Bz6dks/S3ecjq4Rs3o8CAcUODgqCAvv4DcPD1dPngTvw+XQGQk9O4NL79skXCXRVxiKoPe32V3/7px3egY6FuuawpRUSo6PtWUuHw9JJYLUTbpWh3j18Sx83gy43tqiEtMLVPtk+JK+w6wbGQni8JpqwY0I8vNg3Ff7WXLw81orsyHtm1lnbao9SptTbeRh4cH7du3v97ThRDVXHl7Zpb2Znxcj2ZWCTdwbU23gcm9W3AlS8fY5X/ywbq5+MX/XXjAoEEwadJ1/QzSgkTcSiQuCyHMZ3iFBvhYvI02V9psr/TskmtAGNtyAgx3vkz3bv04P3AoiubDyajjD0F1AFmnLYRRuZPurKws3nzzTbZt28alS5coKCiw2H/y5MkKG5wQouqUN2EtbSr3i/e1sPm0HWBnfApT+ziwPz6J+LcHFu349FMYM6Zc4zYnLUjErUDishDCyPyBuXlibEvxh+fmVMqSUwQXJwcARnGOmXPGAtBw3f9QP9MXbzfL7weyTluI60i6H3/8cbZv385jjz1GgwYNUJRzuqcQomYoS8Jqvn7bxcmB8T01LI9JKFqXbSYzx3qbuZzkVCb172j6nP3QUNxsJNzF14x7uDiRlZtPerZ1dXVvlZI3h7S3O7VNvgSI2kDishDCyPyBuTExtkfp5MCJy5k2C6s5OCgI0/jZfFgeoVFTx13J9y1zuG30WNP2UY+9ScvQ5vh7utzgTyFE7VPupPvHH39k8+bNhIWFVcZ4hBBVyDyh9XZzZu6gdry8dr/NhFWr0zOlDFVNjTxcHS0+G6uXhwb4oE9L5/aOwaZ9Zx8ewaz7xzMrLdui0IutNePhGj9GXWszptXprQrEyNQ2UdtJXBZCGJk/MI87k2Y3cQ7T+PHDgSSW/hpvs7Cas4OCF+9tiQNHrVp7vnBvC+rs2EbA6AdN24eNegfH8DDmDWpXrvha0W1Jhaiuyp10+/r6UqdOncoYixCiCtlKaO9p5c+8we3IySswJawerk7k6vS8sm4/O4sFcntVTSND1GTl6k3BX6V0ZHFUKCtiE/jshz0s/3aW6dikiS8wsG5vkg9fIid/H28/1IF6Xq5214zHxKdgMLunrerqMrVN1GYSl4UQRuYzvJbHJLA4KhTAIvEO0/gx+trDarDdlcTZ0YHF247RIdCHUWFB5OYX4O3mjKerE7ve/oSn/m+K6XoxX/3EmPYdqevpgk5f8pR2cxXdllSI6qzc1cu/+OIL1q9fz6pVq1CpVJU1rgojFU+FKJ15tdPizCucGgPkqG5BFlVLizOvanpPK39m9m9DZm4+ado89AYD2To9X/51mj274/ns6xm0vXiCdBd3pt43gYx+AwgN9DUl7asf70KQ2p1snb5clVRtVVcXojqpqPhU0+Ly9ZBYLkT5GN8gZ+Xm4e2mRKcvID07j/TsPOLOpNlcCvbjsxGolI64Ojvywjd7bX4n6FsX3nuhqO/2n+t+45E/sgjT+BEa6MvdLf3L1BWkrN87hKjuKq16+TvvvMOJEyeoV68eQUFBODtbFkvYvXt3+UcrhKhSZelnDZieSEfdEVji9bzdnFk3rhtebs4oHR2Y+v1+i+tHhKh5QuOK4Y1FeOdkkqzyZsTDszlUrynEpxAdVjTVPC07j6nf7WPS3SEl3tPZyQGV0tH0JaKkAjFC1CYSl4UQxdma4bX79JUSH5gnJGfx5V+neblPK7vfCTZfMvDSqKcIXPkhPR//kFdbtCbs8knTm/NBHRuVaXxl+d4hSbeoTcqddA8cOLAShgHz5s3j5Zdf5tlnn2XRokUAGAwGZs2axccff0xqaipdunThvffeo02bNpUyBiFuVWVtD2YMkKUVZ/FVKWnm72H3SXbCPwdoMe016l0+x67A9rzaexwn/Rqb9ptXXHVxcmDH8WRevr9Vifd0VCgs1pNLOzBxq6isuCyEqB3StTqSMnLI0xtYPqozuxNTbb7pdnFyIDY+haSMHKtrtL9wjHRXD077NuTAc9O5z7cXWqUbKqUjoYG+TFwTR6cmvqauIKWt1S5vW1IharpyJ92vvfZahQ/in3/+4eOPP7bqL7pgwQLeffddVq5cSfPmzZkzZw733HMPR48exdPTs8LHIcStqiztwcwDZEnFWcxbcV26mmuVcN97bBcfrZ0LgDYgiCn3P8tZ73oWxxiT+jCNH3Fn0gBwdFDYraYepvHjj5MpxCWmEh0ezL4zadIOTNwyKiMuCyFqh/Np2bz07T6rYmjFi55GaNTsP5du8xpP/vUdL/++gssqHwaMfBcXZ0e0ysI111m5+aZibMauIGVZq13etqRC1HQlv666CTIzMxk+fDiffPIJvr5Fa0AMBgOLFi3ilVdeYfDgwbRt25ZVq1ah1WpZvXp1FY5YiNrHWO3UFmMSbR4gl8ckMDosmDCNn8WxYRo/xvXQkKbVkZCcSeIVrcX+h/ZtNSXcAH+sXGuRcKuUjswd1BZvN2eWjezEtD6tcHJQoFI64uig4M0h7YkoNk5jQZjlMQnExqfQramftAMTQghxy0rX6jhxKZPdp69wOiWLDoE+qJRFHURi41NYEZtAdHjhUi5j7DZ2G9x/Lt0Ua5+NWc3Lv68AoK42jZatm5gehkeEqAmso2Lb5O4siQqlgY+b3aKnxmJt6drC5Wpl+d4hRG1SpjfdderU4dixY6jVanx9fUvsAXrlypVyDeCZZ56hb9++3H333cyZM8e0PSEhgaSkJHr37m3a5uLiQvfu3dm1axdjx461dTlyc3PJzc01fc7IyCjXeIS4FZW1n3VEiJqdx5PR6vRMXBNHdHiwaf21t5szvx+7TPTKf5jetxWb919gtNna7Mf//p5Xf1tu+tzjiY9YGBKE6vcktDo9KqUjy0d25r3fjvPy2gOm48I0fiwf1Rm/a1PTpvdrzZkrWnLzC3BxciDuTJrF03pXZ0caSNVTUctVZlwWQtRctt4y23qzHRufwkv3tSQ0wIe4M2mMWfUPS6JCUSkd6dDYh67BdRj6zRL6xRa96Bq78CeG9WrDxDVxRISoWTCkvVW8Leta7bJ+7xCitihT0r1w4ULTdO6FCxeWGNzL46uvvmL37t38888/VvuSkpIAqFfPctppvXr1OH36tN1rzps3j1mzZtndL4SwrbR+1t4qJfMGtWPq9/uIiU9Bq9Oz9Nd405vmEcv/NgVzfy9XYuJT6BjoS5jGD8ctWywS7jufXkHT21py+EIGP0yMICNbh7ebklfXHbDZhsxBoWDptbYnjgpFiYVgvN1kSpqo/SorLgshai57b5nttfPU6vRMMEvEc/MLiA4P5tOYk/T96A2G/bvJdGzc3pM8q67DFa2OJVGhNPZ1s/mAOz1bV/IYs4uWqpX2vUOI2qRMSffIkSNNvx81alSF3PjMmTM8++yzbNmyBVdXV7vHFf8iYTAYSvxyMW3aNCZPnmz6nJGRQUBAwI0PWIhbQGn9rBvXUTF/SHtOp2hRKBRodflWb5qhqBDa8pgEVte7RJu1RbNYQid8Sdv2TRl5rdJppya+pqBrvuYMCqebR4cHExrgw7FLmdRxV+Lh6sQ9rfzZeviS1fhkSpq4VVRGXBZCVK3Sio+VpqS3zLHFOoMA6AsMFom4i5MDdzb1w3/q8wyL22w6rvVz36BdfQgoas+5ZVKkzfuolCWnFubT3KH07x1C1BblLqS2e/dunJ2dadeuHQDr169nxYoVtG7dmpkzZ6JUlu1/nP/++49Lly5x++23m7bp9Xp27NjB0qVLOXr0KFD4xrtBgwamYy5dumT19tuci4sLLi4u5f2xhBBl1MhXRb7eQEZuHlGf/GnzGGMhtHbxe2jzxqs4F+i5dPf97H7zPd5WuVHX04VHPv4TrU5vmm5WvJKpSunI4qhQVsQmWDyZjwxRM2dgWwCLxFumpIlbVUXFZSFE1SlL8bHSlFYR3LwziLEAaWiAD1BYSK2Jn4r0pBQejfvBdFyLyd+R6+xicY0IjZq9Z9PwcHWyGpuDg8JuodUIjRpX5yovJyVElSj3f/ljx47l2LFjAJw8eZKhQ4eiUqn45ptvmDJlSpmv06tXL/bv38+ePXtMvzp16sTw4cPZs2cPTZs2pX79+mzdutV0jk6nY/v27XTr1q28wxZC3IB0rY7TyVkcOp/OP6eukKXL51JGLj1b1jUdo1I6Mr6nhmUjO+Hq7Mg2r2N88f3r7GvUgu/b9ODO0LE89c1BlscmsOXQRYs341dz8qwqmUaHB7MiNsEqcO84nsyr6w4wZ1A7tk3uzrpx3SyKuAhxq6mouCyEqBplLT5WmtIqghsfiEdo/BgTXliANDe/gDCNHyPDgui/NBZV3To8+OgCNrSKJOSFtRYJN4CPmzOjw4N4bcNBm2NzclDYLbQ6MiyIOZsPcz4tu0w/jxC1SbnfdB87doyOHTsC8M0339C9e3dWr15NbGwsjzzyiKnHdmk8PT1p27atxTZ3d3f8/PxM2ydNmsTcuXMJCQkhJCSEuXPnolKpGDZsWHmHLYS4ThfSsjl9RcuSX49bJMBhGj9m9GsDwJ8nr1i8lR7717dM+30lAOpekYxo/AD6PINp/ffENXEW9zCu4zJvCRYa4GPxhtvcjuPJpGTm4uLsSLDaXd5ui1taRcVlIUTVKGvxMSN709CLx1FzERo1ddyVLBvZiYsZOSgoXKoZUMeN0EBf9kx4hcEOSpyeCcPjrggmNmpl8xrZeUXrwG2Nzc9dybwfDhMdFsy4uzSkZ+dZFT3V5e9jSVSoxG5xSyl30m0wGCgoKJye8ssvv9CvXz8AAgICSE62/Q/G9ZoyZQrZ2dmMGzeO1NRUunTpwpYtW6RHtxA3SbpWx+/HLrNp33mrN86x8Sm8vukg0WHBPHd3Cxb8dJjY48mceGsAjobCfyM+7DKE2LCRbOzflktXc4g5kWK1/tu4Drt4JdPc/AKLNd25+QW4OjuyOzGV5TEJnErRMu7L3eWefidEbXMz47IQouKVNi38qtn+0qah26oIbnzLPPzTv0zxN0zjx6t9W/HzwYs8MLw3LZITATj3zyDeHBJu9xoTrj00H99TQ2iADylZOricaUr8vVVKZg1oy6nkLIZ9+pfNn8dWsi5EbacwGAyG8pzQs2dPAgICuPvuuxkzZgyHDh1Co9Gwfft2Ro4cyalTpyppqNcnIyMDb29v0tPT8fLyqurhCFGjnLiUyamUrBKrhS8b2QmFQsGYFX+RsKC/afsRdRPui14KCgWrH+9CI1835mw6ZHMdtvm0cOMTfJ1ez7m0HKsp5sa35U4KBaNW/mO6jjw1FzVNRcWnmhaXr4fEclGbnbiUSa93t9vdv21yd5r5e5Cu1TF+TZzNt+LmcdAYR1O1OtKz84g7k8bymASLB94AGyeE4demBQ3Ti+JyemYO3u4udq8BmGa2mcdmYzxXKR1JztSRkpVLZq7e9KC8+L3XjetGx0Df6/rzEqI6KWt8Kveb7kWLFjF8+HDWrVvHK6+8gkajAeDbb7+VtdZC1DIZOXkWhVds8XZzhrw8i4T7lE8D7hvznulzWnYeH24/wVsPdWBqn/wSW4MYn5RfzMhhzubDNt+wK8CiB7g8NRe3MonLQtRsJU0LN+/KUZ4e2N4qJXGJqSU+NG/ZKgjnq//P3p2HRVV/Dxx/D8PMwLDLiIoCooO5K+YOqFmWlktqm1qpZJuZlZVp5W65tKvZt0XUFq2fmVm2aZkLaJaKuZsoCqWmIIswMAPD/P7AuTIwbAYucF7P0/N479x7+dBTnjmf+/mck6Ecnz6fTQOPwj3c9mdkmCw8uTJeGdu43kan9VZ2nkzj5HkT725McOhE4qxHOBRuKxOiNql00t22bVv27dtX4vxrr72GWq12cocQ4npjn+HOL7ARVEdf5rWeahsNnhqrHP/eqCX3jJjvcI3O1YUtR1PIys2naYBnhcaQlZvvtPopQGxCKtGRTRzOXShneZ4QNZXEZSGub8W3V9kV78pRmWXoUDgpbl8Gbt+itffvdFTYGH9rC1QXF7vaXFzIzDQpCXdZYyut3kp0ZGiJ2i/gvEe4tPcUtVGlk+7SlNVrWwhx/TiVnsPUtftp3sCb8CBfcixWVjzchW3HUh2WiOm1aqbdEkrDh0fi9VNhP8+Pw+9g6q2POzwvwuhPfHI6ULnEuLwvF7l5jkvVZNZcCEcSl4W4fgT6urNwWDgpWZYSq8GKToTHjOpU6pLt4nFQq3YhPinNIUmOaurP4vfGKwl3ps6Dce/+wty8AnwqMLbUbOeV1Msqflq0R7i09xS1VaVbhrm4uKBWq0v9Rwhx/cowWZi6dj/3dQ5WlqU9GPM7wz/cwZ6kNBYMC0evVaPXqll6dwsMUydj3bwZs1pD/HufsH7syw7Ps++/tu8Dq0xiXNHWJyCz5qJ2q8q4vGXLFgYMGEBgYCAqlYqvv/7a4fNRo0ahUqkc/unatWu5z129ejUtW7ZEp9PRsmVL1qxZU6lxCVEb+Oi1NA3wpH2wH00DPPHRazmVnsO4lfHc/OZm7v7fdqKX/UF8kXhsVzwOZpgsTF6zr8Sb59/+OsPJ3MKE+x+vurR9+osKtSazj83fw3msLW8rmpebRtp7ilqt0m+6iwfKvLw84uPjWb58OTNmzKiygQkhrryULAttGvlwNjOX6IhQRnQJcagYruIEn43pguZCJtpBA+hybB+/BbXmnYjh/HnKQHSkH4/3MmK12cjLL3BoEVLZxLisPW5F357LrLmo7aoyLmdnZ9OuXTtGjx7N0KFDnV7Tt29fli5dqhxrtWX/v7d9+3buvfdeZs2axeDBg1mzZg333HMPsbGxdOnSpVLjE6KmKa39l/0zZ/27iy/ZdhYHi+//VtkK0OVbyNW4cXffSXzxaDoDT9dXPq9obZTSYnPRiXBn/D20Fd5eJkRNVOnq5aVZsWIFX3zxBWvXrq2Kx1UZqXgqREmlBfk/k9Nw17gyY90BpxXDx6+MJ6aTnq4DexY+R+fBqLtnEN+wucPzPxvThRFFWoVEhRmYX6xKeUWcSs9xusdt5qDWZOZY8NA5L8YmxPWguuPTf43LKpWKNWvWcOeddyrnRo0aRXp6eok34GW59957yczM5IcfflDO9e3bFz8/P1auXFmhZ0gsFzWRs/ZffVoEMH1gK3LzCjhvsnAhN7/U5eTfjY9Eq3YhwEtXIg7GJ6UxePE2ANQFVnYuvJ8jdUMYdfd0cjVuLB7RgbGf7Xa4p6IVxZ3F5jlD2vD9vtPlVlYXoqapturlpenSpQsPP/xwVT1OCFFNyurx6euu5eWvSy5Hsx+/WDeLrgP7KefvGz6HQwGOBc2gcB/Zt09GkGbKI99qo6nB47KWk5W1xw08Kv08IWqT6orLmzZtIiAgAF9fX3r27Mkrr7xCQEBAqddv376dZ555xuHcbbfdxttvv13qPWazGbPZrBxnZmb+53ELcS1x9hZbr1Vzb+dgJq7eW2Li21kF8JOpJj7/PYm5Q9viU6zmqX2Llsaax9HXBwPQNXk/K5vncbprd0INHnw7LpKNR/7l/c3HMVmsFd4CFujrzmt3tyMtu3Dy3kPrytkLuYyJDKXAZnPaSkwSblHbVUnSnZOTw8KFC2nUqFFVPE4IUU1KW6pm38/18h0t2VpKxXDbz79w/xeX9mw/NHSK04QbQKWCAQvjgEsz3JfL3rZECFFx1RWX+/Xrx913301ISAiJiYlMmTKF3r17s2vXLnS6kpWPAc6cOUO9evUcztWrV48zZ86U+nPmzJkjW9ZEjeas/Vd0ZKjTdlzOKoDDpc4gk1bvZeGwcHLzCy4mwvnU9dTSO8STmLG9lOv/CO/J3ce84FjhG+4Ioz/jbjLStqEvK3acrPAWMGeT9xFGfx6KDKVzaB2laFpwHb3Tt/BC1EaVTrr9/PxQqVTKsc1m48KFC+j1ej799NMqHZwQoqSy9n+Vp7wenxmlVAxvcfY4K4ok3J+/9jG5vmHgJEGPMhqIvdijU2a4hah+VzIu33vvvcqfW7duTceOHQkJCeG7775jyJAhpd5XdHz2MRY/V9TkyZOZMGGCcpyZmUlQUNB/GLkQ1xZnHToqWgEcHGubbDmawpnMXGauO6gk6AYs7Jx36f/JrV378kDPcSWeCdC/TQOmD2xVoVhd3j7z8GA/pTf4LxN6SvwX4qJKJ93Fl4O5uLhQt25dunTpgp9f+ftAhKjt/kvSXNbS8MAKLN92FuT1WjXRkaGEB/k6VEK1a/XvMT7+YopyfOzHTdQPacE0X3dmrTvg8GY8KszArIv7rQe0DZT91kJcAVczLjdo0ICQkBCOHj1a6jX169cv8Vb77NmzJd5+F6XT6Up9cy5ETVC0Q4c9Dntoy/5abs4vQK9V8/IdLWjTyIe/03KUFmKn03OVxNfLnM3Oty9NkKU9GM0DDZxPitmT+dy8squP25U1eV98YqAybUKFqOkqnXSPHDmyOsYhRK3wX5Lm8paGV6RISfE2XHqtmgXDwlkal8iijQmM620kwuivBO4bzp1g5coX8TZnczykBRteW8I7cRlEq9LoCLzcvyU2G5gsVnzcy99v/V8mHIQQzl3NuJyamkpycjINGjQo9Zpu3bqxYcMGh33d69evp3v37ldiiEJck+xVwHeeTFPicHiQb5n3BNdx5+uxEcxcd4AX1+xXzkcY/RnYNhC9Vk2OOY91y55SPvug02DaTp0PH/5W6nPN+QUVTpCdTd4Xf5ZdZdqEClHTVbpPtxDi8pSXNJfVHxPKXxqeklX2/XApyNsV3z8WE5vI6IhQIoz+RJzYw/tfvcIpLwOHw9pzctU3vLMvA5PFyqKNCcTEJVLf243mDbzpEHKpp2hpivYaHbx4Gze/sZknV8ZzKj2n3HELIa6MrKws9uzZw549ewBITExkz549JCUlkZWVxXPPPcf27ds5ceIEmzZtYsCAARgMBgYPHqw848EHH2Ty5MnK8VNPPcX69euZN28ehw8fZt68efz88888/fTTV/i3E+La4aPXMndoW6b0b6nE4fjkdCKM/k6v7xFmIMtsZca6A8Q62fM9a90BoiNDsalceK/LXQC8030Yr/Z+CL2u5Cq2onSuLhVOkItP3jt7ln28lWkTKkRNJ0m3EFfIf02ay5tdLj5LnWGycOxsFvFJaRw7l0WGyaIEeXviHR7k61CwxWSxMn5lPHf9E88nX82kcfppGvTqxt6PPueJbxOUqqmV3av9XycchBBXxs6dOwkPDyc8vLD44YQJEwgPD2fq1Kmo1Wr27dvHoEGDaNasGSNHjqRZs2Zs374dLy8v5RlJSUmcPn1aOe7evTuff/45S5cupW3btixbtowvvvhCenSLWi/Q152OIX5OJ76LssdcP72mRJE1u/gDyfTIOAHA5+370nHcJ7wVNUL5PKqUZD7C6M/ZC+YKJ8jFJ++LPys+OV3quQjhRJW1DBNClK2ySXNx5c0uF52lLm8Zu73VR0ZOnrIfzN4D9J2V0+iT8DsA52+9g/S3FtHT24Nvmzd00rarYioy4SDBWYirr1evXthstlI//+mnn8p9xqZNm0qcu+uuu7jrrrv+y9CEqJGyzPnKn+0T39GRoURHhGLOLyDEX49G7UJOnpXsi9cWrcVizi/A99+/6d6nM7wNHe5/jd0NW5DiUVjPIcLoz69HzjI6MhRQsTXBseL4k73DaFxHX+EYbJ+8L96nOyrMwIyBrQB4ODJUYroQxUjSLcQVUpmk2Rn77PIWJ8lr0WVcxd8qFw3Of525gDnfytSvD5QIvAuGhRNwSw/anvoLALNaw57X3yd60W9Kwt40wLNSv7Pdf51wEEIIIWoiZwXV7Mm0m0aNtcDG3f+Lw2SxsmJMF/RaNYuGhxMTW1iLJfT8P/z64aPKM1RubsqfI4z+jI4IZfzKeAAe6dGEp24JI7/AhpebK55aV3z1mkonyIG+7iwcFk5KluWyJ+OFqG0qnXTn5ORgs9nQ6/UAnDx5kjVr1tCyZUtuvfXWKh+gEDVFRZPm0pQ2u1x8GVfRt8rOCqV9GHvcaQ/QBRMH4Z92Vjk35t2NtDudBVSuWJsz/3XCQQhROonLQly/7N8NDp7O5KORnXjjp8MObcOiLk6Kj18Zz7bjqUwf0JKlsYnEJqTS7NwJ1sdcagO2+OEZzJ7+ANkWK15uruxOSmf8ynhla9jbPx/l7Z+P0iPMcNnx3M5HL0m2EJVR6aR70KBBDBkyhMcee4z09HS6dOmCRqMhJSWFN998k8cff7w6xinEda+iSXNZKjK7XPStcvFCaU57gNpsPL/lY4eEe8QH2xgd2YRJq/cyrrdRmXU/nZmr/C6V8V8nHIQQpZO4LMT1y0evZd7QtqTn5DH7u4MOk+J6rZp2wX64a9T87/4bsRbYaODjxsTV+2h1JoHvlj+tXPvo4Bf5qc6NdLZYWfDLURYOC6dns7r8EOJXqe8c0mVEiOpR6aR79+7dvPXWWwB8+eWX1KtXj/j4eFavXs3UqVMluAtRhv+6JKsiwbDoW+XiSXbRVh4A2Gy8+GsMj/yxpvDz+oHE/rKL8L8zmLR6L3OHtlXekttVpi+4XVVMOAghnJO4LMT1JcNkITXbQn6BjQKbDbUK0rItJRLuoivV7L54pCttT//FNx9PUM6Nums6m5p2BCC/wKbUSmka4Fmp7xz/pa2pEKJslU66TSaTUqV0/fr1DBkyBBcXF7p27crJkyerfIBC1DSXuyTLWTCMCjMwZ3AbGtXRK+eKvlUunmTbW3kAuBRYeeiPtUTvXAvA9JsfYejyeTy0MA6Acb2NDm/J7S53qbnsAROiekhcFuL6cSo9h6lr93Nf52Alxi4Z2bFEvC6+Us3OXavm5Y0fKcfD7nuV7SFtlWO9trA9mL1WSkW/c5TXZeS/LkcXorardMswo9HI119/TXJyMj/99JOyX+zs2bN4e3tX+QCFqE2ctfmyn3cWDLceTWHSV3v5J82knCvaFqxokg0oPUBdrfm8+d2bvLQphj+CWvF8v/EcvW80ZzPNSquS4u3EiqpoX/DifPRamgZ40j64/L7eQoiKkbgsxPXBHsubN/B2SKjN+QUl4nVZMXjF2FnsbNiCOx94wyHhLtpqrLK1Uv5rW1MhRNkq/aZ76tSpDB8+nGeeeYbevXvTrVs3oHB23d7XUwhRefbZ7+YNvAkP8uV0Ri5n9RqC6+jJzSsoNRjuTkonIycPk+UCWeZ8Zdn5wmHhZObksWJMF9Jz8nDTqNn7dzqPtjMwc3Y0TU8eIs9Fzaftbyd9wJ2MjgjlhdV7WTS8Ay4qVcml6MVIxXEhrg0Sl4W4PtgT21HdGzssGde5uiiT4kUT8aJanUng1qM7+PUWI/fe04O36sawp0hSHmH0Z9xNYfx65Oxl1UqRLiNCVK9KJ9133XUXkZGRnD59mnbt2innb775ZgYPHlylgxOitsgwWRyWmxUNxpFGf56+pZnT++x7vuZ8f4itRYJvnxYBTOnfkpe+3u+QrPcLUPH0s3cox8c/+JQn77gdN1cXMnPy+OKRbhg8tSwaFs7pjNwyxywVx4W4NkhcFuL6YE9siyfU+09lEOznzm2t6nE204xKpcLgqUWvVWOyWBl4cDMLvn0NgHnzPcldMJv+bQOVXt46VxfOZuaSm2dl/98Zl1UrRbqMCFG9LqtPd/369cnKymLDhg306NEDd3d3OnXqhEqlqurxCVErpGRZSiw3s4tNSGVsL+dvnaMjQ1mx4yTtgv0YdTH4umnU2Gw2Xlyzj9giz2qYcZb35kUrx+/0epC3jnqhX7yNKf1b0iHYt/ALgQoMHloa+LhJxXEhrhMSl4W49tkTW52ri9KTu2OwHw183Zi97iATV+9Tro0KMxAzqhPrnp7N7G/fVs5/0bwXR347waR+LUg+f2lrWZdQf1DB63e3u6ytW9JlRIjqVemkOzU1lXvuuYdff/0VlUrF0aNHadKkCWPGjMHX15c33nijOsYpRI1TtBK5ztWFW1vWIyY20em1246nEhVmKLHEvGOwH+2DfEu8Hf9sTBeHhDsw8yxx/7uUcCdNfZX3beHoQamOOvmrS8HeXlVcKo4Lce2TuCzE9cGe2O4/lcGSkR1Z9Gth3I6PTSsx4b71aAq3bPzSIeGOevQjWrRtwvAuIZxKy+Gh5TsBqqzvtsR8IapPpZPuZ555Bo1GQ1JSEi1atFDO33vvvTzzzDMS3IWoAKeVyI3+LBgWzviV8ZgsVofrY2IT+W58JFO+3u+QTNfx1DLvx8MlgnXRvVn1LqTw8RdTleOn+z/LsJGPEGMDrasLh89kEp+U7nD/lqMpvHCxWqlUHBfi2iZxWYjrgz2xjUtIYfGvCcQlpBIdEeowaW73yI7VjNy0VDneuP4P5oY2JjfPysodJ2ke6ANUbVIsXUaEqD6VTrrXr1/PTz/9RKNGjRzOh4WFSWsSISqg1ErkCakUULhkvHgANlmsYIP5Q9uSnpNHfoENk9mKRu1SIuHWa9U08ivsp9ko/QwrPn+J4Ix/OeVl4KkBz/FHUGsGmPOVGfKIUpL9on0+JeAKce2SuCzE9SPQ1532Qb48/+VeoOT+boDb/trGi0US7k5PfMK5X/4F/mXFmC683L8VmTkWBrdvWOVJ8eW2NRVClK3SSXd2djZ6vb7E+ZSUFHQ6XZUMSoiarKy2HPZZb/ter/AgX8z5BfjpNeh1rhQU2Jjz/WG2JqSg16pZNrpziWuD/PTs/zude/SZDFnxNq4FVk74NmDEfa/wj08AUUZ/4pPTHX4mOE/2pVqpENc+ictCXF+yzPnKn4u3CgPomnRpu9eWuAOc++bS1jOdxoUCmw2rDZCSDUJcNyqddPfo0YOPP/6YWbNmAaBSqSgoKOC1117jpptuqvIBClHTlNeWQ61SKfusiybBPcIMjL3JyK6kNKAwSS6wFZS4dsnIjnz50besXD0Nbdp5Nhi78OJtT3DOsw4RRn+mDGjFne/GOfxMe7JfnFQrFeLaJ3FZiOtL0UrhRVuFqQusWF3UzLz5YU76NuDEkGG0zlI73GvOK6D3G5uV4x5hBuYObUugr/sVG78QovIqnXS/9tpr9OrVi507d2KxWJg4cSIHDhzg/PnzxMXFlf8AIWq58tpyNDbomfL1/hLLxrccTcFqsylvpMODfMk2W0tUPA/86F1Wf1T45ftMWCt0y2KY4eWn9AFNTMkusWccSi5xk2qlQlwfJC4LcX0pWik8JjaRBcPCue/Ld2n5xybuG/Yq5zzrcPS+0YyOCGX8ynjlvkijP9uOl/xuMOliDRZZFi7EtavSSXfLli3Zu3cv7733Hmq1muzsbIYMGcITTzxBgwYNqmOMQtQo5bXlyLPaHHpuFxWXkMoztzQjPMgXvdaVnDyrQ8L9wqZltNjxpXJ8yx3TyPomEbi0NG3JyI5On110iZtUKxXi+iFxWYjri8liZexNRqw2G3EJqViHDGXA4cIJsrW520md/Cr7/s5wqLUSFWZgZPfGDkm4nb0Gi8RsIa5dl92ne8aMGVU9FiFqheLB1i7qYqJ7JjO3zPszcvJ4aPlOlozsSH6BjXG9jYQH+dLspacJKpJwhz/5GVk6x32ekcX2c9v1CDNgrOvJ12O7S7VSIa5DEpeFqDpFW3p6u2sweFRdTMwwWZi4ei+7TqYRHRnKgmWT8T98aUVKv4C+5L3/G9GRoSwcFo45v4AmdT3QubpwMsXE63e3w02jZndSGjGxiUpSLjVYhLi2VTrp3rJlS5mf9+jR47IHI0RNVzzYRkeEYs4vQOfqwtkLZvRadbnLz+32n8rg9tYN+Hj7Cc699S43//i58tlfR/+h5aYkh6Q+wujP1AGtmPvDIYfn2N9qN/B1JwSPqvlFhRBXjMRlIaqOs5aeVblvumgx1Z7RQ/D/56DymfG5r8kvUIPFqtRp6dMigGkDWjH5q70Oq+CKdx6RGixCXNsqnXT36tWrxDmV6lL5RKu15F5RIWo7+6z5eZOF0RGhtAvydZihtuvcuE6Zy88jirypttlg5rcHCP7yM1756V3lmhue/YqI2L95sreRZ25pxrksM4383Nn3dwbDP/yN+zoHM6JLCACN/Nyp7+0mb7WFuI5JXBaiat5Ol9bSsyr3TduLqf4QM44W504o57cfOUOXLY41WqKMhsKEe82+EtvOinYe2ZucLjVYhLjGVTrpTktLczjOy8sjPj6eKVOm8Morr1TZwISoKU6n57Dpr3MEeOkw5xfgplET6OPGu8M78MSK3Q6J94XcPJoGeDJ3aFsmrd7rkHgX38/VpqEPCQuXMOenRQB8En47U/s8hk3lwsbD53ju1uacyczFZoPzWXnU83Zj4bBwdK5qfNxlCbkQNYXEZVHbVdXb6bJaelZ233RpkwDebhoe3vGVQ8J9//tx7P40vsQKuH8zc8m25JfZZvSJXkZGdA6WeC7ENa7SSbePj0+Jc3369EGn0/HMM8+wa9euKhmYEDVBhsnCyfMm1u09VWKp97ibjDzaswlvbTiqnLcvDwv0dWfhsHBSsiyk51gw5xXg6ebKfR/8Vpik22wEL5jPvB8WE9/gBn4LbsO8niOhyNut0xk5PLR8p3IcafTn1cFtCPaXJeRC1CQSl0VtVpVvp8tr6WnfN13eW/WyJgEMnlrUN4bDJshXubB5/z/Eflz4/2jRNqF2qx7tVuaY3DRqGki7MCGueZdVSM2ZunXrcuTIkap6nBA1Qropj4Ubj5Zo/2U/fqFvcyXpLt6iyx7Ap397gK1HUwoLpgX7su3oOWZseJ+w+O8A+P6GCD7sPNgh4XYmNiGVl7/eL21FhKglJC6L2qAq306XV1PF211T7lv1UicB/jrHu2+v5pFxg7ll3HDi+3Xil3wf2tjKHpNepy7zcx932cstxPWg0kn33r17HY5tNhunT59m7ty5tGvXrsoGJkRNkG3JL5Fw2xU9X1qLrpQsC4dOZ7JkZEfqebvRq7Evnz18adb74/ue4cOQm0s8O6KUKuXSVkSImkfisqjNKvp2uiIMnlrmDGnjsB3MXiW8Y4gfHjpXnlv1Z5lv1Z1OAthsHHttEGpbAScDlpBx0x2YA4KJ0Gto6OtOkJ87g8IbEh7kW+LnemjVZbYZlb3cQlwfKp10t2/fHpVKhc3mODXXtWtXYmJiqmxgQtQE2ZayCxiZ8wr4ZULPUvdXmyx5fDamKzPXHWDXoX84/OZdymcXhtxD5IKZRK3d71BgJcpoYGSE816eIG1FhKhpJC6L2qy8t9OVqeqdbbHy/d7TbE24lOBGGP2JGdWJxnX0ZOXms+tkGuN6G+kQ7Ieri4o6HlryrAVk5uSTbsorOQlgs3Fi/gDlcNeP25mQVE85jjT683F0Z2Z9d9Bhebn95/rptU7rvJQ2WS+EuDZVOulOTEx0OHZxcaFu3bq4ublV2aCEqCl8ygn2Pu4amgZ4As73iPm5a3lhzT72Hkji8Nv3Kvd9d0MEK/s9wyygXbAfoy4WXvF119DAx407FsaWqIxuJ21FhKhZJC6L2qysjh+VeROsLAtPcHxOXEIqLioVi4aF8++FXBYMC2dpXKJDgty7eV2evqUZpzJycHVxIWZUJ3YnpbFsSwL7X7mUcP/dIJQJLe90eH5sQipT1u6nfbAfGw+fc/pzi9Z5uZCbh5ebFEMV4npT6aQ7JCSkOsYhRI2k07gQZTSUCOJQ+EZap3EBSi+6MmNgK44knOaj1bOU8x+H38HUWx+HhFTM+QUMbt/QIQgDdAzxk6VoQtQSEpdFbeZTRW+Cy9obvvVoCmcyc/F11zL/pyMO28P0WjXDu4Qw78fDju2+Qn3Y/0p/5TijbQci+810+vzYhFRGR4Q6/bn2LWH2f4QQ16cKJd0LFiyo8APHjx9/2YMRoibJMFkwWfJ5uX8LZn93yCGYRxn9eb7vDZgs+fz17wVmfXugRA/OLUdTmPv5b6z9dhYNk/eT56LmtR4P8kGXoco1mbn5dA6tU+Jny1I0IWo2ictCXFIVb4LL2xv+d1oOQX76EnVaoiNDWRrn2F/b1ZrPJ49FKcdbQ9pj+fx7KNJRpDhzfoHT87IlTIiaoUJJ91tvvVWhh6lUKgnuQuD45lqvVRMdGcpjPZuidlGhVbvgp9fwyncH+fnwOZaM7Fgi4QaoY8rg9vc+oF7SUTJ0Hoy8ZyZ7Am9wuMbbzfn/wrIUTYiaTeKyEI4u902wfWuXztWl/GudJMDhQb4lWn09/tuqS/f07Y/lzY/KrTJe2s+XLWFC1AwVSrqL7xcTQpSueLsQk8XKoo0JLNqYQJTRwBO9m/Ly2kvL05zNbte7kMJnn7+M8fzfpEbexIiwIRwOcFx6Fmn0x8+j9C8YshRNiJpL4rIQl8eeZGeZ8/Bx1zLl6/1sTShsyxll9Hc6CW7vCHJ76/olPnMWw5d1HEiv47uIC2mHcf5bjF2+k3G9jUQY/Z12NIkspeOIbAkTouYof1pPCFEpZe4LS0jBQ+fqEHSLz253P7GHHYtHYTz/N/941SV97usYund0uCbS6M+rg9tQz1sKJQkhhBAVcSo9h3Er47n5zc1sOHSWl77ep9RciYlNZEr/VkQY/R3uiTD6Mzoi9GL7Lld6hBkcPrfHcHdLLuO2fY42P48LOg/uun8+b/Z4QPk8JjaR0RGhJZ7fI8zAq4PbcOR0ZonzsiVMiJqj0oXUAP7++2+++eYbkpKSsFgsDp+9+eabVTIwIa5X5e0Ly8p1rCoen5yuzH73PRLH/76eo3w2/6X3GR8WxhttNKRlW8jMzcfbzRU/D60k3EIIhcRlIcpWfBVa8WXhJouVHw6c5o42DXg4sgk+eg2uahVp2Xlgg5hRncgrKGD6wFbsSDyv9PKu5+1Gv/oa3numsGhas5Qkxg+ciE1VWEj138xc5fnjV8YzpX9LpvZvSY7F6rD16/W728mWMCFqsEon3b/88gsDBw4kNDSUI0eO0Lp1a06cOIHNZqNDhw7VMUYhrivl9Qz10WtYPKIDbho1u5PS+Pz3JOYObUvPrd/wSJGE++Upy3hi1C1oXFyo5+0mSbYQwimJy0KUr/gqNGfLwt/ffJx3h3dAp3Hh9fWF28D0WjULhoWzbEsi7YJ8ub11A77fe4qtFz/74NZGvPfMbcozfmnaCSjsUPJQVCh//p3OkpEdlbaeTQM8ncZz2RImRM1W6aR78uTJPPvss8ycORMvLy9Wr15NQEAAI0aMoG/fvtUxRiGuC/Z9Yhk5FlY+3IW4Y6nExCY69MuONPrz/b7Tyux6hNGfuUPbsnbuEhZ+fCnh3vb9NnzVdbjz3Tg6hvgxd2hbAn3dr/jvJIS49klcFqIke0zOzM3D212D1WZDr1UrMdlZ4TKTxcqff6ez88R5ZRtYdGQoK3acZHiXEM5m5jL92wPKZ+Ob64mMaqPcnzDhJW4b9QQDXV04m5nLn3+n89aGo8Cl5eIygS5E7VTppPvQoUOsXLmy8GZXV3JycvD09GTmzJkMGjSIxx9/vMoHKcS1zlmf7SijP1+PjSAxNRuN2oV/M3Ko7+POEyt2K9fEJaTS6uDvvPnFbOVc18eXcWbzeeA8UNg6bNLqvSwcFi6z4EKIEiQuC+HIaUwOM7BgWDjjV8ZjslgdtnYV1aahD2//fFQ5Dg/yBWBpXCLREaHK9Y3Sz/DYiEt9uKfd8ijLNd3gs0sx/tsnI4hoasBPr5Xl4kLUcpVOuj08PDCbzQAEBgZy7NgxWrVqBUBKivPiUULUVBkmC2cvmEk6b2J0RCjtgnyVt9tbE1KZse4A4cF+FyuX+zM60rECedekvTz7f1PRWPO50PNmunR4DJO25BvtLUdTSMmySMAWQpQgcVmIS4rv3bbbejQFm81GdGQoizYm8PnvScSM6sSF3HwycvLw0LqSX1C4R7voFjAb0KtZXRZtTGBElxAAfHMyiX1/jPLsF/o+yRftbqO4cxfM3BjsJ7FbCFH5pLtr167ExcXRsmVL7rjjDp599ln27dvHV199RdeuXatjjEJck5zNpEcY/R1m0uMSUomOKEy0tyakUgBKwB94cBMTN39Msk99PDu0Zc/cdzGtOlDqz7tQToE2IUTtJHFZiEvK6iASm5DK2F5GYmITmTu0LfN+POywb3tpXKLDm+8Ioz9DOzTkZIoJuLQk/eaEP5Rrnur/LGtb3eT05zX0dZeEWwgBVCLpPnfuHHXr1uXNN98kKysLgOnTp5OVlcUXX3yB0WjkrbfeqraBCnE1Fd8b5qlzZera/SUCe9E9YPZ920WLtdiT8GF7fuSVn97FBRsfdBqM8c2FaFzL/t/RQ3dZzQaEEDWUxGUhSiqvg4ibRs0P46N4+et9DjG7eMINhTF7ytf7mdi3OQDxSWlEGP1Zzc14WkyEDr2d864BUEpv791J6dT3dpPEWwhR8aS7YcOGDBw4kIceekgpzKLX61m8eHG1DU6Ia0Fpe8NGdm/MtmOpDoXSAIe321CyWEtEz3bcfO5fAJZ3uIMtY54j83ThF2Zn+8vs53eeTMND5yoF1YQQgMRlIZwpt4OIu4b8Ahtbi8Ta4u3DiopNSOXp/AJGqk4zeMTjRH64DPBnOQPQn1Lz9dhWzFh3oMQb8tERoYxfGU/nxnUk6RZCULJ0YymWL19OZmYmAwYMICgoiClTpnDs2LHqHJsQV11Ze8OWxiUSXWyPtp397XaE0Z/45PTCkzYbJ+b1x+1iwh3f4AbWP/YSo6KaEhObSExsIk/2DiMqzODwLHvwnrXuIJNW7yXD5NiDN8Nk4djZLOKT0jh2LqvE50KImknishAlebq5Emn0d/pZpNEfTzfXEm/DnbUPK8o9bisz5j5M09Rk6j0yivAgX5aM7MjCYeFcyM0jPNiPJSM7snhEB5aM7Eh4sJ+yzUy2hgkhoBJvuocNG8awYcNITk4mJiaG5cuX8+qrr9KjRw/GjBnD0KFDcXOTNgiiZilrb1jxN9pF6VxdHGa6VbYCEucPVD63eniQsyWW8OOpSmDuEWagcR09swe1JuFcFub8AnSuLsQnpyvXFC+o5uwtfI8wg7QYE6IWkLgshKMMk4U0k4VxN4Ux9iYj24q07oww+jMqIpRsc36Jt+HO2ofZ9Ti+i1bzpinH6qUxtGnkC0ATgwcFNkp9Sw7gVc6bdyFE7VDhN912QUFBTJs2jePHj7N+/XoaNmzII488QoMGDRg7dmx1jFGIq6a8vWHOZsejjAZC/PXc0aYB41fGk5trYeHa+crnppAmpJxKoa6Xjp7N6rL6sW5sfq4XC4eFU9/XnfMmCw8t38nYz3bz0PKdLNqY4LCE3T5rXtpbeHuLMXnjLUTtIHFZiMJJ6HEr4+n79lbu+/A3hn+4gz+T0lkztjvLRnVS3j5n5uRh8NTSo8iqMnv7sOJu/Ws7H6+6lHAPePAtJp/xZN8/GSzfdoI6HtoSzyqqR5gBg6csLRdCXEbSXdTNN9/Mp59+yscff4yLiwvvv/9+VY1LiGtCRfaGFRVlNDBtYCtOpeVSz9uN9+5uQ+y+GPofiQUgtkkHtv+wjWNns+jz1hbu/t92+i2IZcra/WRfTKzL+5n2WfOy3sLb34gLIWoXicuiNip1K1hCCjPXHWRnUpoyge3lpsFHr2Xu0LZKshwTm8joiFCHZekDDm7mgzWvKMd9Ry9kX4Mw4hJS6d7En3lD2+Kj15Z4ll2PMINyTWljlq1hQtQel10O+cSJEyxdupTly5fz999/c9NNN/HQQw9V5diEuOrsM9hbnCS3EUZ/cvOsxIzqhKfOlTxrAduPpzJwUSwmi5VeIZ5M37WK+j9+Q56LmqcGPE9G/0GEJ6fTsoG3w7Psb6dfu7sdri4qosIMThPqorPm5b2Fl31kQtQuEpdFbVXRrWBFY2igrzsLh4WTkmXhwsXOJG/c056s3Hxy/thF63mvKc+4ecx7HPMPUo7dNGoaFNnCVfxZXm4aDJ7aUhNu2RomRO1TqaQ7NzeXVatWsXTpUrZs2ULDhg0ZNWoUo0ePpnHjxtU0RCGunOKtwQwehTPYk1bvdUi87fu1n1wZT3RkKH8mpTlUQtVbchgz7yWCk/aS3L4r0423Yrmtr7LHe+Gw8BI/e8vRFI6dzWLMxztZMCycApvNoRpq8Vnzir4RF0LUXBKXhajYVrAeYQZeHdyG1GwLJ1Kz8dVrseQXcCE3D73OlfwCG9nmfAyeWjJ8PcnWuOGRl0vUox+R7Fvf4XnFV7kBylvv8pS3NWzhsHCpdi5EDVThpPuRRx7h//7v/8jNzWXQoEF899133HrrrahUquocnxBXTGkzz/OGtlVmsNNzLFjyCzBZrKhVKl6/ux0hdfQORVQaZfzLipUvEpzxL1lad/JffJH7W3dSCqKFB/teqmheTHpOHiaLlfEXk3n77HxwHT0BXjqHQFzWW3jZRyZEzSdxWYhCnrqyv842MXgwZ0gbpq09wLbjqSwYFs78n46UaPP1WKiGN8/ApNtb8Ne3Gznn7c8MP192J6UpBdlKi6/OJu2dJc8V2RomSbcQNU+Fk+7ffvuNGTNm8MADD1CnTp3qHJMQV1xZM88vXJx5bhrgCcDf501M/mqv8mZ78YgOyvVh506yIeYJ5XjEvbN5tPmNjF2+E7jU33v8ynin47BXUDVZrA6J/C8TepYIwvZ9ZMXfwpe3j0wIUTNIXBaicMJ854k0Ioz+Dkm0XaTRH293DS98uZetCSmM621kaVyiw7V6rZrHt64k8uEFtJz4Ek/n5LE14TxwHihMyBcMC+eL35OYOah1ifhameXisjVMiNqpwkn33r17q3McQlwV9plpc761QjPPGSYLk9fsc1hKbk+U2586wtefPKucHzdwIn8G3kBIHT1fPd4dH3cNnm6uvLxmn0M1cjuHnt7FlBaEK7uPTAhRc1RHXN6yZQuvvfYau3bt4vTp06xZs4Y777wTgLy8PF5++WW+//57jh8/jo+PD7fccgtz584lMDCw1GcuW7aM0aNHlzifk5MjLc3Ef2KfMN91Mo0FF7dtFU2mo4z+jIwI5UJuHlsTCmN8eJCvw6S2Xqvm+9Pf0fjjRQBo313ItrGdwUWtXBOXkIrLxdVt9bwd/5ut7HJx2RomRO30n6qX/1fvvfcebdu2xdvbG29vb7p168YPP/ygfG6z2Zg+fTqBgYG4u7vTq1cvDhw4cBVHLGqSU+k5PLvqT9bs+YfMnPwyr83IyePY2Sz+Sc8pEVjjk9O53/WsQ8I9+q5prGvRg0ijP756DR1C/Gga4Ek9bzdmDGpdosppVJiB0RGhxMQmOv35ZQVhH72WpgGetA8u/BmScAshLld2djbt2rVj0aJFJT4zmUzs3r2bKVOmsHv3br766iv++usvBg4cWO5zvb29OX36tMM/knCL/8q+VNu+LSs82I8lIzuyeEQHYkZ1YvrA1tTRa8jIyefbcRF8Oy4Sg6cWvfZSQv3pn5/S+KNL/71HjPkAa5GE227r0RSyckt+V6hsJxFpMSZE7XTZ1curQqNGjZg7dy5GoxGA5cuXM2jQIOLj42nVqhXz58/nzTffZNmyZTRr1ozZs2fTp08fjhw5gpeX19UcurjOZZgsTF27n/s6B7M0LpHwIN8yr8/NszLkvW0OS8ntNq/ZxJerL/XxvHv4XP4Iak1UmIE5g9vQ0E/vcL2zt9NlvQGXICyEuFL69etHv379nH7m4+PDhg0bHM4tXLiQzp07k5SURHBwcKnPValU1K9fv9TPizObzZjNZuU4MzOzwveK2qPoUu2i27L0WjWLhocz/Zv9DivTIoz+PHlTGO8O78ATK3Yz/es36LDvZ+Xzn7b/RebXf5X685ytOqvscnHZGiZE7XRVk+4BAwY4HL/yyiu89957/Pbbb7Rs2ZK3336bl156iSFDhgCFSXm9evVYsWIFjz766NUYsqghUrIstG7ow7KL+7rCg/3K3A+27XjheftScruW/x5n+Rcvo8vJJCUkjMyPP+OlxsZyl3k7q3I6Y1BrzPkShIUQ14+MjAxUKhW+vr5lXpeVlUVISAhWq5X27dsza9YswsNLdnGwmzNnDjNmzKji0YqapuhSbb1WTXRkKOFBvtTx0PLm+iMOCTdcWnrev00D1mx6hxuKJNw3TFjNYh/Hdp7FOVt1djnLxWVrmBC1z1VNuouyWq2sWrWK7OxsunXrRmJiImfOnOHWW29VrtHpdPTs2ZNt27aVmnTL7LhwpmhVUR93DWoXuK1VfZrV8yI6sgn7/knnocjCSuEO+8GKFT6LT05XkvMb/z7Ii7/GkKd25c/6Ybz/zCLmdGxHk8sMmhKEhRDXk9zcXCZNmsTw4cPx9i49WWnevDnLli2jTZs2ZGZm8s477xAREcGff/5JWFiY03smT57MhAkTlOPMzEyCgoKcXitqL4OnljlD2tDA240Gvm7MXneQRRsTWDKyI1sTUh0ScXN+AW4aNbuT0mj+1x5u2Pqj8pxmz67B4qpxiPHFlbbq7HI7iVS0xZgQomaoUNJdmWItbdu2rdQA9u3bR7du3cjNzcXT05M1a9bQsmVLtm3bBkC9evUcrq9Xrx4nT54s9XkyOy6KK1pVVK9Vs2BYeInKpRFGf9o29KVT4zpER4Rizi+gsb8ed62akykmXr+7HW4aNXv/TmdMZBNaH/ydp/5vCvo8M1+2vpn1j77IjPu7/ecAKkFYCFER1RmXKyIvL4/77ruPgoICFi9eXOa1Xbt2pWvXrspxREQEHTp0YOHChSxYsMDpPTqdDp1OV6VjFjVPtsXK93tP0y7Yl/jYNCWum/MLHOJ90cJpEUZ/BtwWyfm+A/DcF0/i9j10WZ/A1qMpxMQmOi3IVtaqM1kuLoSoiAol3e3bt0elUmGz2crt/2m1ltyTWpYbbriBPXv2kJ6ezurVqxk5ciSbN29WPi/+88obg8yOi6KKVxWNjgwtkXDDpeAaHuzHQ8t3FlYzHR/FlK/3ldgPdu/iqdy05gsA0nveTJsln9LW04OcPCsZJumvKYSoftUZl8uTl5fHPffcQ2JiIhs3bizzLbczLi4udOrUiaNHj1bpuETtkWGycPaCmaTzJkZHhmLw1DoUItW5ujiN9wMPbmarqT2zUTFzyXLU3u7c4OnGvKF6JWkevzKe6MhQnuhlRKdxwdddW+6qM1mpJoQoT4WS7sTES3+RxcfH89xzz/H888/TrVs3ALZv384bb7zB/PnzKz0ArVarFFLr2LEjf/zxB++88w4vvPACAGfOnKFBgwbK9WfPni3x9rsomR0XRRWvKlq8VUhRcQmpREcULjGf0r9liYQb4KE5T9LgeGHP7ZQ69fnllf/xwoe7lM9L68sphBBVqTrjclnsCffRo0f59ddf8ff3r/QzbDYbe/bsoU2bNlU6NlE7/JNm4mSqifScPGW5+OFTGSwYFs74lfGYLFbik9Pp1sTfId5v/d9DBGX8y4GAJtzlOp/8AS3BxYVjZ7PIMucx687WWPILyDbnX1bSLCvVhBBlqVDSHRISovz57rvvZsGCBdx+++3KubZt2xIUFMSUKVOUfp6Xy2azYTabCQ0NpX79+mzYsEEptmKxWNi8eTPz5s37Tz9D1B7Fq4qa8wvKvN6cX0Ck0Z/WDb2Z/NU+h8++XfYUbf49phwnxu3i9N9ZLBnZ0WGv2LS1+3n97nYSfIUQ1aa64nJWVhYJCZcSlcTERPbs2UOdOnUIDAzkrrvuYvfu3axbtw6r1cqZM2cAqFOnDlpt4d95Dz74IA0bNmTOnDkAzJgxg65duxIWFkZmZiYLFixgz549vPvuu//lX4Gohf4+b+KFr/aW2B42OiKUFTtOEh0ZyqKNCcTEJhLZ9FJbrj3v3IdvbhYAWmseORodmbl5zFx30GFiXibOhRDVpdKF1Pbt20doaGiJ86GhoRw8eLBSz3rxxRfp168fQUFBXLhwgc8//5xNmzbx448/olKpePrpp3n11VcJCwsjLCyMV199Fb1ez/Dhwys7bFFDFC2I5u2uweBR9syyp87xP/Hi1ceLC6mjp32wH3+n5Ticf2HTMoeEe2fCWbLzbfxx4jxv/3xpiaQ9+KdmyzJzIcSVUZVxeefOndx0003KsX271siRI5k+fTrffPMNULi8vahff/2VXr16AZCUlISLy6W/a9PT03nkkUc4c+YMPj4+hIeHs2XLFjp37lypsYnaLcNkYXKxhBsct4fZ23+aLFZMeVaw2Uh4bRCutksT7n0eWgwqFea8AqXWS9FiaydTs1G7qKjnLX3khRBVp9JJd4sWLZg9ezZLlizBza3wLySz2czs2bNp0aJFpZ7177//8sADD3D69Gl8fHxo27YtP/74I3369AFg4sSJ5OTkMHbsWNLS0ujSpQvr16+XHt21VNGCaHZlzUqfSs9h58k0h0qkZVUmjTIa+OHAGaXyKQA2G8/EruDxHV8q1zWe+C1fazV89OvhUoP/9AGt/vPvK4QQFVGVcblXr17YbLZSPy/rM7tNmzY5HL/11lu89dZblRqHEOA40e6uVZfY8mVXdHuY3e6T5zkx/1Jr2iytO62fWQUUdibJybNi8Cwsgla82FrUxSJo8sZbCFFVKp10/+9//2PAgAEEBQXRrl07AP78809UKhXr1q2r1LOWLFlS5ucqlYrp06czffr0yg5T1DDFC6LZbTmawqTVe1l4sdqoPTh76lzZeTKNN9YfYe7Qwsq9cQmpSmVSFRBbbHnay/1bMHhxYdX8+OR0IprW4YbPl/LUtpUAzO/xIIu73UOE0R8XleP9RcUlpGItKP+LqRBCVIWqjMtCXCuKT7QvHtGhzOvN+QUEeOn4bEwX1CroaqyrfHbGsw5dn/gYKIz3I7s35rMdJ4kZ1Yl5P5acQN9a5LuFrFoTQlSFSifdnTt3JjExkU8//ZTDhw9js9m49957GT58OB4eHtUxRiFKFEQrasvRFM5k5jL7u0MO10QY/ZU2Hvd1DlZagbmqVMwZ3IbsPCvHz2Wjc3UhPjmd0+m5mCyFVX6XbUngpyMr8d2+lj0NmvFVq5v4+MYByvLx0xm5ZY7X/hwhhKhuEpdFTeNsor287WG+7hr8PbToda7k7d6jnM9rdgOJ38ey2JSnxHt7wbWHIps4XfkGhd8tUrJkq5gQompUOukG0Ov1PPLII1U9FiFKVbwgWnF/p+Ww62Qa43oblX1Zbho1ZzJyeKBbCG9tcGxN8/XY7tiAsZ/tVs6N620kwujPrkP/8NqaN2n41zYKXFxwffopeg4YykB3DZv+Osf4lfEsHt6hxM/anZRGTGwiJosVH3dNdfxrEEIIpyQui5rE2UR7fHI6UUYDWxNKTsBHGv1p4OtGapaFAsDQuQN8+SWcPEnS/Y8w7M3NJe4ByMgp+7vFhXK+ewghREVdVtL9ySef8P7773P8+HG2b99OSEgIb731Fk2aNGHQoEFVPUYh8HYrO4lVq1QsGBZeYl9WhNGfaf1b8f7m4w5vn73cNBQU25sYE5vI4jua8NnDhS13ClDxxICJZNbpwGjgwZjfMVms6LVqArx1xCellfhZC4aF88XvSRg8ZWZcCHHlSFwW1xv7fu0scx6+ei2W/AKyzPl4u2uw2mzotWqHuP3570mseqwbU77e77C9K9Loz6xBrYl+P46Xlk5hcft+5Pe7nblDbyfQ153MpLRSx1De23Ovcr57CCFERZX9t40T7733HhMmTKBfv36kpaVhtRb+hejn58fbb79d1eMTAgCDp5YeYQann0UZDVhtNpbGJTotbDZr3QGiIy8VWOkRZsDgqUWrdiHCeKnHrMf5FHp1vUE5TnpmEk8unsxLt7fAWmBj0cW329MHtGTO94ec/qxlcYlMH9hKlqMJIa4YicvienMqPYdxK+MZsCiWc1kWXlyzjz5vbWHw4m3c/MZmZq07yIJh4ei1auWe+zoHM3vdQdoH+7FkZEcWj+jAkpEdaR/sx/w1u/n15b7ccuwPYlbPpItXAVPX7udkanaJLiZFxSenE1XKdwv7dwUhhKgKlX7TvXDhQj788EPuvPNO5s6dq5zv2LEjzz33XJUOTgg7H71W2Z+9pciSs0ijP1MGtOTvtJxS92VtTUhl1MWqppFGf14d3AYfvZak89lM7d+KWesOcGLXQWL/95ByT9oLL3Fy9Hg++P6gw3OjjAZub92Aiav3lfg5UFhcLTev7F7gQghRlSQui+tJ0f3a43obnU6Ybz2ags1mU/puA4QH+bJoYwK/HD7ncK27JZdDb92lHH/e9la2ZaoYHRFMUooJjcaFFWO6kJ6TV2Ir2JHTmcwZ3IYX1+xz+G7R42L1cplAF0JUlUon3YmJiYSHh5c4r9PpyM7OrpJBCeFMoK87C4eFk5Jl4UJuYfBct+80P+w/TetAnzLv1WtdWTKyI/HJ6VishUmxt5uWGesO0N27gPfXX/qi+vMTU0gb+jBrtx4v+UUgIYVRGY49vIuTPWBCiCtJ4rK4nqRkWZQaLLe1quewTauo2IRUnrutuZIg22N3UV7mbPa9fa9y/Fn7vrx02zhISEXn6sJLd7Rk6tr9DrG86FawmYNa06DYdwsvNw0GT60k3EKIKlXppDs0NJQ9e/YQEhLicP6HH36gZcuWVTYwIZzx0V8KhPY91Xqtmi8e7VrmfSZLPg8t3wnALc0DALBYCzj4+yFe+uJlPM7/TbbGjYn9nuI7zy4s8dSW2hKsPLIHTAhxJUlcFteTjBwL7w7vwOmMHLJzy+70kZpl5vvxUWTmWNBq1A6f+eRc4M8Fw5TjkyMf5aX6l/pytwz0YXqxhBsKt4K5qFS8fnc76nkX9rUv+t1CCCGqQ6WT7ueff54nnniC3NxcbDYbv//+OytXrmTOnDl89NFH1TFGIZyyF1czWaz8cugsUUZ/tjpJlCOM/sQnpyvHblo1GSYLlr+OMvPn/xGYeY5/vOpy/32zSazTECjs91ka+x4wZy3MZA+YEOJKk7gsrlX2YmmZuXl4u2vw1Lmi16ox5xfw3b7TREeElvuMqWv3s3BYOOmmPCKM/sQlpOJuyXVIuL/qP5rjw5+BIm/N7cvRndl6NIWs3Hzqef/331EIISqi0kn36NGjyc/PZ+LEiZhMJoYPH07Dhg155513uO+++6pjjKKWKh6sDR6OM9H24mpbjqbw6W8n+WhkJ+CIQzuRKKOBl/u34EyGmXG9jRw8lcG6vadJ2RHP7HefodW/Z/i+WXdm3zyGU94Byn1lVTSNiU3k+/FRTF27X/aACSGuOonL4lp0Kj1H2but16qJjgylexN/6vu4sejXwmKk4cF+SiJdXJTRn7peOu7rHMzpzFzUKhVjIpsAcHDvcY76BxGWmsznQx7HMHsaMSvjHe4va/IcZCuYEOLKUtlsxfomVUJKSgoFBQUEBASUf/FVkpmZiY+PDxkZGXh7y5Tm9aJosLbrEWZg7tC2BPq6O1w3be1+7u0czIodJ2kZ6KP0zvZx1xDgpeNMei4XLPn46TU08HEn7/0PCHt5AgDJDZsy5M7pnPP0c/j5c4a04Yd9px2S6qLjWDiscP+k7AETQlyu6ohP10NcvhwSy68vGSYL41bGKwm3vaVnXEIq34yLYOCiOIASn9lFGQ2MvcnIQ8v/UNqGRYUZGNPOnz/PW+jerD45yafwT/uXPfWMzP7ukEN7MYDPxnRhxEc7Sh3jLxN60jTAsxp+eyFEbVLR+FTplmG9e/cmPT0dAIPBoAT2zMxMevfufXmjFaKIopVNi9pyNIVJq/eSYbIo5wJ93Zk9uA3L4xLZePgcizYm8NDynYz9bDcjPtrBjG8PsPvvNA6ezsRksZI/Z46ScOf5+GL79VdahIc5/JweYQZualaXuUPblmhTVvRtto9eS9MAT9oH+9E0wFMSbiHEVSFxWVwpGSYLx85mEZ+UxrFzWQ7xuKiULIsSw6MjQx2SapP5UnJsslgZvzKe8CJtwL4bH0m/NvUdEm6A5B1/0rNTGLfMfYFRH23HbKjL6+e9CPB2IzzY1+HnRxj98XJzdWgLWpRsBRNCXGmVXl6+adMmLJaSf8nm5uaydevWKhmUqN2KBuvithxNISXL4pDgZuXmO93LDbA7KZ2p/VsxY90BPKe8yM2/f6V89vfm33Dx82PhsHqlvrGWiqZCiGudxGVxJVR0BRpAZpGl28X3VmtcVQ7XmixWh8+/Gx/Ji2v2O1wTdu4kG2KeAKDlr+vwvWEw41fGEx0ZiqdWzdT+LbHZCp/l5eaKVu3ChVwLr9zZRraCCSGuCRVOuvfu3av8+eDBg5w5c0Y5tlqt/PjjjzRs2LBqRydqJavNxpKRHTHnF5ToqQkl92GllTLTDoUz7LPWHSB01Sc8ViThbj9+Ba3+SKO/2Z2ezeqWusRMKpoKIa5VEpfFlVLeCrSFw8IdYqV3kS4exfdWZ+bkEWU0ONRfsYsyGkqca/XvMb5b9pRyfPy9ZSwfMrQCk+EegEyeCyGuDRVOutu3b49KpUKlUjldrubu7s7ChQurdHCi9jmVnsOsbw84vLm299QcvzL+4iz2pWCeYbJgKaNYSniQL38v/JDpG/6nnGv5zCpMWnfiElKJjgh1+oVBCCGudRKXxZVS2RVonm6urBjThfScPILr6BnX26hMnqtQMTqyMWBziPVRRn9GRzZG7XLpTXj4P4dZ8+lzyvHou6bx8pChldqLLZPnQohrQYWT7sTERGw2G02aNOH333+nbt26ymdarZaAgADUanUZTxCibMpMupOemlD41npvcjoGT61S2dycb2Xb8dRSq58G/LCWN9e9iQs2vmx9My/0G4/V5dJ/p+b8AqdfGIQQ4loncVlcKZnlVPq2r0DLMFk4k5nL32k5qFQqDp7O5LlVf9Ih2PfS5HmeledW/Ul0ZCijIkIx5xegc3UhPjmdcSviWftEBD3CDJh/+ZUvVk5Wfsbwe2ej7nMLnm6V3hkphBBXXYX/5goJCQGgoKDsFgxCXK6yZtLjElJ5opeREZ2DMVmsTLy4zO39B27E1UXFpH7NOZtpRqVSse+fdGw2GPTzSgLf+Ijc4MYcbt+daW2HY81zLNZvbw0mrUOEENcbicviSim6XNzp5+6awj3fX+4t1rbTn0XDwxm3Ih5IJDoyFJ2rS4l93EWpXVTM692IBmMuJdx3jZiHe68eTOnfki1/nSPSaKBBsX3kQghxLav0dOGcOXOoV68e0dHRDudjYmI4d+4cL7zwQpUNTtQs5fXdLm8m3U2jRq9Vc+jMBSb2vYFxNxkJ8NLxyfYTvP3zUaCw/UjMgzdy+pkXCF23FIBXe43mQP+HeSeyibJEHQqXrccnpwM4LFkXQojricRlUd0Mnlp6hBlKbaPpoXPluf/7s8Q+7cKVayoe6dGEt38+ygv9mpNvtZW6p7tHmAF/Dy3oDZwfN4E6i97k+HcbmdOxI5a8An7Yf5o/k9MJqqNHr1XLCjUhxHWj0kn3+++/z4oVK0qcb9WqFffdd58Ed+GUsxnw4lVPi86k67VqoiNDCQ/yxWItIMDLDT+9hmPnsiiw2fjpwL9o1Cp+TzzvsKw8unsIXcMu9aed3+NBPugyFI6dB5WK6MhQFm1MIMLoz+iIUMavjJfWIUKI65rEZVHdfPRa5g5ty6TVe0tUAp8/tC05lnxGRTRmWJfgEgVQtyak8NQtYbz981GSz+fw3Ko/WTAsnAJsjr25wwy8EqYi68/9TDqQx1b9TXg+3ZWsLSYiTh1gdEQofyanM7xLCB9sOca0/q0k6RZCXDcqnXSfOXOGBg0alDhft25dTp8+XSWDEjVLhslSIuGGwuIrL6zey6Jh4QC4uqiICjOw62QaC4aFszQu0WH5WdFEOTzYl2n9W/H+5uPK567WfJ7r11I5XtHuNhZ3u0c5jktIZVK/5oQH+RKfnM74lfF0DPGT1iFCiOuaxGVxJQT6ujutBJ5tsTLl6/1lFkDNLyjc2mVfWj5+ZTyP9mzCC32bo3ZRkZWbT72vPieo5ziy9F6ceOAt8K1Plk4PXKrtEh7sx9K4RMKD/ci25F/5fwlCCHGZKp10BwUFERcXR2hoqMP5uLg4AgMDq2xgouY4e8HsdBkZwK6TaZw3WZi69oCSbPdrXZ+lcYklCqMVLai2aGMCs9YdUP7slpfL4TfvUq7dFtyWF/s+WeLnZZsLl5b3alaXwe0bSusQIcR1T+KyuNJsACrIzS8otwDqoo0JeOpc+WxMF6wFNmJGdWLfP+m0aejDvB8PE5eQyv3x3zN7/WIAPE0XyNR5lPiZ9o4jizYmEB0RqmwVE0KI60Glk+4xY8bw9NNPk5eXp7Qo+eWXX5g4cSLPPvtslQ9QXP/Sc0rfqx0dGcrUIjPk41fG83F0Z15cs9/p9fagC4V7xUZFhKLLt/B5kQqn37TowfiBE53eb7JYWb7thLQIE0LUGBKXxZVwKj2nRK/uFWO6lFkANToilAijPy4qGPHRDuWzVwe3Zmls4eT6mN+/4uVfY5TPuj8eQ4a7l9Nn2nt+m/ML8HGXWixCiOtHpZPuiRMncv78ecaOHYvFYgHAzc2NF154gcmTJ5dzt6iNPLSlt6wJD/J1WEJuslg5e8Fc5vPMRfpyq7OziflyOu1PFxZS2zl4JF/c/hg4aR8WYfTn38xcWU4uhKhRJC6L6qa09CyWYJc1qW437qYwNhz61+FcPW83tiak8mTcSp6N/Uw5v3Xzn5z6PrnUZ9k7jvi6awjw0lXmVxBCiKuq0km3SqVi3rx5TJkyhUOHDuHu7k5YWBg6nfzlVxtlmCykm/LItuSTbbE6BMKULAsZORY8dK7MGdyaWd8dqtByMHtQLe9z79ws2r41kzon95KldeehoVPZZ2zPkpuMuKBybFsSZmDWoNb46TWScAshahSJy6K6ldbSs7x47e+hI81kcai/AoWT5+PjVjKhSMId/uRnjMjVEWH0L7G9DC51HIk0+hPir5dYLoS4rlQ66bbz9PSkU6dOVTkWcZ05nZ7DyfMmFm48qgRIvVZNzKhOvLsxoVivTgNLRnbkoeU7HVp21fd2K/Hc+OT0coOuf3Y6X309A5/TiZzq2gPTS1MZ1bgljfzc2Xj4LDc29mNURGM8dK546NS4uappbCi5R0wIIWoKicuiupTW0rOseB1lNKDXqRn+0e4SE+7u+WYe/+1L5bjtU5+T6eZJTGwiC4aFl5g4txdS/fz3JOYOaUtDP30V/WZCCHFlVCjpHjJkCMuWLcPb25shQ4aUee1XX31VJQMT17YMk4VNf51j3d5Tji27IkMdknC7wuBp4/NHunLughkfdw1Hz2bhp9eU6P1pD7oqILZYNdTREaF89PpKNv3fdLyyMrAY6rJ+1LPM/z2P8DMnCQ/2U5arRxj9CQ/2o2UDb26o53x/mBBCXI8kLosrqWhLz6KUJFmlcngT3iPMwNibjJxKy3G6wm3XOTMbJy6m5xf/46kBz5N9sUq5yWJlxY6TPNHbyMv9W5BttqLXqlG7qFC7qHjj7nbyhlsIcV2qUNLt4+ODSqVS/ixESpaFAC9dieS6+B7torYmpDLqgpmHlu/kx6eiuL11fYfenztPpim9udUqFbMGtSYzN5/TGbkYPLVoXV1g/QY+j3kGgEydBwMHz+ZEoppIoy+jLrYTA8f2Yh892FH6cAshahSJy6I6ZZgspGRZyMzNw9tdg6ebK31aBLDh0Fn0WrUSqy3WAup66njlztaF28zMVnwubjMzWazEJqQQZTQob63v/fMn3PPMxGgHExM9iHdDW5JdrFf31P6tZCuYEKLGqVDSvXTpUqd/FrVXZm6eQ0EzO2fnnH2em2dVAqq99+f5bAtT1+532pv7wZjf6bl3M++tnat8lrZqDW+364iHzpXUbAu5Fiuv390OnauL0oe7Q7Cv7P0SQtQ4EpdFdXFWpbxHmIHZd7ZG5+rCnR0asTQu0WmsHr8yno4hfswc1JoLuRa6hdYhyM+dAmw8NOdJeh/fCYCubStUqk5ER4Yy6mJHkkZ+7tT3dpN4LYSokS57T7eo3bzdNJzPtpQ4X15RlaA67iwe0QE3rZoMkwUfvZYMk4XMnDymrt1faq/PV12OcWeRhPv3r35h0VkPFho88NFr8UjPYdLqvQ7L1KPCDMwZ3Eb2fgkhhBDFFH+bbfAoTHadVSnfcjSFWesOMn1gKyat3ltilVvxvtxTvt5P16Z1aNHAh3ErdrP+q5dpdHyXcr22zy2MXvYHXz7WDZ2rGoOnVpJtIUSNVqGkOzw8XFnGVp7du3f/pwGJ64PBU8vvJ86XKKDirKiKfSlatyb+pGXn4aZRs27vaY6czmRq/5acysglv8BWIuG2M2/aQv+vZynHPR/5gBeMLdjy2W5SsgoTd/vb8pQsCxdy8/By00gQF0LUWBKXxX9R2tvsl+5o4bRKuV6r5t7OwZxMNZUaq+19uaGwjstL/VuQY8ln1ftP0OjsperlTZ5fS8HmRAAs+QW0DJTtEUKImq9CSfedd96p/Dk3N5fFixfTsmVLunXrBsBvv/3GgQMHGDt2bLUMUlx7fPRaejWrS+jFiuD2JDsmNpGYUZ2Uoip6rZoFw8JLXYr22/FU1v55iuFdQpz+nG4n9xLz5Qxc883saNSKcYNe4JxnHeWN+oUiFVV99JJkCyFqB4nL4nKV1nN7y9EURqblOL0nOjKUpXGJjCglVtt56FwZ19tITGwi/6Tl0KNfNzRnE5XPQyd+g011aUWcVykF2oQQoqapUNI9bdo05c9jxoxh/PjxzJo1q8Q1ycnJVTs6cU1r4OuOXqvm1TvbkG3Jx2QpLKDioVUzsF0go7o3po6HljfXHyl1KdoLfZsTu3ofoy/Ojhd121/bGLt9FSatG/lRPTC9/j4zNG746jXkWAormkrAFkLURhKXRVmcLR23T0qX1nO7LPYiqdFOYnVR2eZ84pPSWDAsnDbPPIzm5KWEu/HEb6HI6oyoMIMUORVC1BqV3tO9atUqdu7cWeL8/fffT8eOHYmJiamSgYlrR1nBu/jb5QyThXEr45WAvmRkxzKXotkVX5Y+eP9GXvv+bVxtBZx6aCzPdryPTf93ULk+wuhPzKhOErCFELWexGVRVGlLx+cObUugr3upPbehMBZHhRmUlWr2KuV6rSsxozphs9lK7csdYfQnPjmduIRUXAqsvJWdpXz2+Me/w4GzDtfOGNhKVqcJIWqNSifd7u7uxMbGEhYW5nA+NjYWNze3KhuYuDaUF7yLKz6DXl41c3v/TnuvT4AXXxpBq4v7v47ffhczOg1jc2KGw31xCam4qFQsuniPEELUVhKXhV1ZS8cnrd7LwmHhDj23iybW5vwCPLSu3N2hEbO/O8i9nYNLbA3r3bwuU/u3Yua6Aw6Jd5TRwMiIxoxfsRtdvoWtx9PZv3ApTbf+xGT3tszo24LhnRtzwZKvdBgRQojapNJJ99NPP83jjz/Orl276Nq1K1C4dywmJoapU6dW+QDF1VOR4F18lrr4DHp51czdXNVEGf3ZmpDK+JXx/LHwfjzSCwN5WkQvsv/3Ppvf3e703q1HU5RCakIIUVtJXBZ2ZS0d33IxZho8tfQIM7DzZJrTmit9WgQwbWArJjupUr7x8DkAoiNCiY4IxZxfgI+7htw8K0+u2M23ix8hzd2LB++ZiVXnxl+3DCJ2+U6mrd3P6IhQxn5WWNSvR5iBhyPLXqouhBA1SaWT7kmTJtGkSRPeeecdVqxYAUCLFi1YtmwZ99xzT5UPUFw9FQne9oTXvgS9eJLtrJq5XaTRH1e1iuf6NocfDvPJI90cPt/1wUryMsxljvFCGcvkhBCiNpC4LOzKWjoOhTGzaYAnc4e2ZfNf51gal1giPm84dJbREaGlbg3bePgcI7qE8NDynUpR1KdW7OLg7DuUa6IS42noeyv3L9kBQGxCKi/0aw4UJtzzhraVCXMhRK1yWX2677nnHgnktUBFgjdcWoK+62QaC4eF89mYLmTkFLYG2/dPOg9dnM0uvhRt5p2tSE7NYdm240yLeUn5LN/Ti7dX/0HM53tYWM7ycSmkJoQQEpdFIe9yYqI9Zgb6utMxxI/JX+0DSi4zd3Epux2dXuvKl491469/L/DMZzs58Ep/5bM9DcIw3TGQXw7/S0qWRTlvMlv5fnwkDX3dJeEWQtQ6l5V0p6en8+WXX3L8+HGee+456tSpw+7du6lXrx4NGzas6jGKq6Qiwdu+BH3XxWVqMcVmzSOM/rRt6Mud7RsytX9LcixWdBo13+07TZ61gA82/0X/d2di3LsRgH8aNCbiwUVwcalbWW/Ke0jlUyGEACQui0L2peNbnKxSKx4zs8z5AE5bey4Z2bHMn2Oy5PPkyngWDm3FviIJ97bgtrw75X1GRzRm/Mp4h3v0OjU6V7Uk3EKIWqnsDbdO7N27l2bNmjFv3jxee+010tPTAVizZg2TJ0+u6vGJq8gevJ2xB2/7EnR7D09nrcFi4hLpGloHS74VPw8tBTYbLRt4k59j5slflnPf3vVYVS5MHjiBQ7/8RoTRX7k/JjaRJ3uHEVVsHLI8TQghCklcFnY+ei1zh7YtEbudxUz7xLqz+G2f8HbGXqXcasrh5vbByvm0W/pi++UXwoP9GL8yXimUCoXbybLNVpkoF0LUWpV+0z1hwgRGjRrF/Pnz8fLyUs7369eP4cOHV+ngxNVlD96TVu91mDUvGryPp2QDl3p4OrP1aArHzmWTb7Mx98fCnt26PDOL186l85kjZLQJZ1qzfnxt7M7alfFERxYWaNFrXfHTa2jg48aiYeGkZFm4kJuHl5sGg6dWEm4hhEDisnAU6OvOwmHhpJvyyLbkk22x4uOuwWIt4M/kNDzdClt/2ifWncXvoh1Fim8NG3uTkYeW/c4XKyYp50/fMYR7op7gY1839iSllUi4pw9sjZdW3nILIWqvSifdf/zxB++//36J8w0bNuTMmTNVMihx7fDQqpk1qDXZlnxMFwN3gJdOCZz2mfLyWoPV93Hjle8OEpeQiiE7jXfXzqNL8n5yXbW8dcsoGvW9DTYmYLJYleC/YkwXGvi4OfQEF0II4Ujisigu22Ll5bX7HYqh2oueDftwBx1D/Jg3tC1zh7bl0OlM5Zqie7vzC2xM6tsCV7WKk6kmDJ5a3FzVWG0FfPFYd7Se42DSeFLvH8XNofdiSsvh2LlsoiNDefH2lmSZCyfJPbVqvN01EsOFELVapZNuNzc3MjMzS5w/cuQIdevWrZJBiWtDWT26ffSFx/aZ8vJag1kLbGxNSCUo/Qxb3x8DQLbGjdF3T+d3bVNigv0cro80+hPir5cgLYQQ5ZC4LIoqrd1nXEIqLsAjPZrw9s9HeeFi68/gOoUB3dneboCoMAPTBrTk1e8PEbfvb5qlJLGvQRgRxk48E7ePuBwtpg1HAQj0cUPnqr64Gs37iv3OQghxrav0nu5BgwYxc+ZM8vIKK1erVCqSkpKYNGkSQ4cOrfIBiqujtKC982Qam/86x9F/LxCflMbZC2ZmDGxFPS83oozO939HGf0xWaw0O3dCSbgBXug3nt+DWgPgqr5UKTUqzMDcIW1p6Kevht9MCCFqFonLwi7DZOF0Rm6p7T63JqRyc4sA9Fq10vozwEtHVJih1NosW4+mMOObg4wy6jny5lC+/fgZOiXvJy4hlXcOZmOzFV7XI8xAQ193mgZ4yoS5EEIUU+mk+/XXX+fcuXMEBASQk5NDz549MRqNeHl58corr1THGMVV4KxHt30WfN3eU/R5awuDF2+jz1tbeHntfs5lmRkd2ZjIYoVXosIMjL0pDP74nfUx45Tz4wc8z7oWPZTjup46vh7bnV8m9GTRsHAa1ZGEWwghKkLisoDC1WnjVsaTmJpd5nXnLpiJvtjK80JuHj56LdMHtqJbE+edQgD+ij9Mj6g2Jc5vTUihTUMfKW4qhBDlqPTycm9vb2JjY9m4cSO7d++moKCADh06cMstt1TH+MRVYrXZWDKyI+b8Atw0anYnpaFRq0qtUA7Qvak/E/s2Z2xuPuk5edTz1vHXmQvMfXcdq5Y/q1z/5/8+Izj0RvSxiZgsViKM/ri6qGhRbIm5EEKI8klcFkVXpz11c1iZ13q7aegQ7IfBU4u/h5bDpzPJNuejUTt/D9Mw4yxx/4tWjv+aPIvHHhjF6IvfDwJ93Fg4LFwSbiGEKEOlku78/Hzc3NzYs2cPvXv3pnfv3tU1LnEFZZgspGRZyMzNw8ddg1btwqxvD7C1WL/taf1b8f7m406fEZeQyjO3NOPtn/+iXZAvN90QgEbtQtCZE6xeMQnX86mk6H14dPBL7Er0IUJd2Nd7xY6TDO8SgtpF5fS5QgghSlfVcXnLli289tpr7Nq1i9OnT7NmzRruvPNO5XObzcaMGTP44IMPSEtLo0uXLrz77ru0atWqzOeuXr2aKVOmcOzYMZo2bcorr7zC4MGD/9NYxSVFV6dpXV2IMDp/ax1h9Efr6oKnTs3nj3Rj0pp9ynXOenM3Pv8Pmz58VDmedNs4BkQ/xkMf7VDORSlvuav6txJCiJqjUsvLXV1dCQkJwWq1ln+xuC7Yl6Pd/OZmBi/exlfx//DCV3sdEm4oTKpnrTugLElzRgVM7teCLo3rMO/Hwzw/eSkNZ0/BlprKobqN6Td6EbsatVSet3zbCUZ0CeGL35Pw95AZciGEqKyqjsvZ2dm0a9eORYsWOf18/vz5vPnmmyxatIg//viD+vXr06dPHy5cuFDqM7dv3869997LAw88wJ9//skDDzzAPffcw44dO0q9RziXYbJw7GwW8UlpHDuXRYbJAkBmbp5yzemMXEZHhJbos22vXn46IxdPnSszvincl63XqhnX20hdLx1RRe5pmprskHB///w8Pm/fl4ycPIfnbj2awqTVe5WxCCGEKElls9lLYFTM0qVLWbVqFZ9++il16tSprnFVmczMTHx8fMjIyMDbWyppFpVhsvDsqj9p3sCb8CBfzPkFBNfR039hbKn3LBnZkYeW71SO7e1FOgT74e3miofOlT1JaXz/3ioWr5yKlyWH/2tzC6/c9BAZ7l4lnrdiTBdCDR408HWvlt9RCCGuVVUVn6orLqtUKoc33TabjcDAQJ5++mleeOEFAMxmM/Xq1WPevHk8+uijTp9z7733kpmZyQ8//KCc69u3L35+fqxcudLpPWazGbPZrBxnZmYSFBRUq2N5WR1FcvOs9F8YS3RkKLe1qse97/+mtP4y5xegc3UhPjmdmNhElozsiKebKwMWxjlULI9PSmfBsHCWx51gV1Ia636cQ5M/tgDw94cfk9Z3IKcycmjo686PB84Qc3GLmN0vE3rSNMDziv97EUKIq6misbzSe7oXLFhAQkICgYGBhISE4OHh4fD57t27Kz9acVWkZlu4r3Ow0h5Er1UTM7JThe/Xa9UsGh5OTKxje5FF8Sv4ZP2Kwp/RqTszIh4hW+d83ZmbRi0JtxBC/AdXKi4nJiZy5swZbr31VuWcTqejZ8+ebNu2rdSke/v27TzzzDMO52677TbefvvtUn/WnDlzmDFjRpWMuyYoraPIlotvmV+7ux0xozqxcGNh666uTRwnX1Sqwi1cvZoZqOftRmJKYbG14hXLJ63ey7LRnXF1UXGq55v4T3iY9feNY1pSXcJ/PMToiFDueX874cG+LBgWzviV8UrifSHX8Q24EEKISyqddA8aNEj5y1tc3/ILbMrs9rjeRno1q4u1wEbMqE7sTkorMYsN0NDXXdkr9kiPJiyNTSS2yFL0N9a9Qf8DvwJwNvQGDrz/GdlfHCh1DD7umur55YQQopa4UnH5zJkzANSrV8/hfL169Th58mSZ9zm7x/48ZyZPnsyECROUY/ub7trKWUcRuy1HU0jLtpB4LpsjZy7Qvak/z9/WnFPpOahUKg6eziQmNpEOwb7MurM1s9YdZESXEADCg3yJiU1kXG8jHYP9CE79mz2PP8uEFneCSgV9ZxJR18CCiFDGr4wHEomODFUm2ov+2ctN4rkQQpSm0kn39OnTq2EY4mooKLApy8nsb7vtIoz+JWaxI4z+mPMLCA/249k+zdBrXXn756PKPcv/byo9Ey+9UTn4f9+z65y51IIuPcIMGDxlL7cQQvwXVzouF0/wbTZbuUl/Ze/R6XTodLrLH2QNk1nOW+TjKdlsOHSGz8Z0Zda6A7z201/KZ0Xj+dS1B2gX5Et8cjoRRn/yC2zKd4CQXbH0enEMTYBj6Rbe7X4vqFRK/LYn2NERhbVd4hJSlT9LPBdCiLJVuJCayWTiiSeeoGHDhgQEBDB8+HBSUpzPuorrg8mSX2JpmV1cQipL4xKVwmlRRgNT+7dEo1ahUavwdNPwT3qOcv3Unz9wSLjDnluDSedOTGyi04Iu0tNTCCH+mysdl+vXrw9Q4g312bNnS7zJLn5fZe8RjrzLeYusc3WhZaAPM9cdcFh9Bo7xfNfJNG5tWY8OwX48dXMzguvoOZuZi++GH7n7xTHKPWta31TiGeFBvgCY8wuU8+b8giLVyyWeCyFEaSr8pnvatGksW7aMESNG4ObmxsqVK3n88cdZtWpVdY6vVirawsvbXYPBQ1slwaz4c73cNIQH+Tq84S4qLiGVF/u1oFsTf7YfT2XERzu4r3MwtzSvR/J5EwHebgA8smM10bu+Ue5r8vxaClzU6FxdMFmsjF8Zz5Q7WjKlf0tMZis+7hoMnlXzOwkhRG11peNyaGgo9evXZ8OGDYSHhwNgsVjYvHkz8+bNK/W+bt26sWHDBod93evXr6d79+7VMs6ayOCppUeYgS1OlphHGQ0AdAj2KzOePxTZhPbDfHntx8MOHUqeTYvn3f+7tH++3+gFnPIOKPEMe7Ktc730viaojjuzB7WW2ixCCFGOCifdX331FUuWLOG+++4D4P777yciIgKr1Ypara62AdY2ZVUnDfwPQc3Zc+cMaUOAV9nL985k5vLkynjG9W7Kqke7cTojl1MZObhp1JzNyGHWiQ08sGkpAIu63cPrUQ+ASkWU0Z+6XjqWjOxIgLeOXw6dJceST4eQa7/ivRBCXA+qIy5nZWWRkHApcUtMTGTPnj3UqVOH4OBgnn76aV599VXCwsIICwvj1VdfRa/XM3z4cOWeBx98kIYNGzJnzhwAnnrqKXr06MG8efMYNGgQa9eu5eeffyY2tvROGcKRj17L3KFtmbR6r0PiHWH0Z2REYz7bcZJHopqW+QxXtYr3Nx93WNk2dN8vPPn9W8rxzQ+9xzGD873zuov9v+OT05Wfvf+fTG5vXf8//GZCCFE7VDjpTk5OJioqSjnu3Lkzrq6unDp1qlYXN6lK5VUnXTgs/LLeDpf23FnrDrLq0W5l3qtSqXh3eAfq++jYfjyV+j7ueOpcqePuSv3pk+mx/SfOGgJZ2qoP73W9G7B/CQhlwS9HGd4lmHvf/w2TxcqAtoGVHrsQQgjnqiMu79y5k5tuurS02F7MbOTIkSxbtoyJEyeSk5PD2LFjSUtLo0uXLqxfvx4vr0stIZOSknBxufQ2tHv37nz++ee8/PLLTJkyhaZNm/LFF1/QpUuXyxpjbRXo687coW05kZJNek6e0gZs0uq93Nc5GC83VxaP6ICbRu20GKqfXqMUTg0P8sVjeyxd511KuA9v3U3gYTPHnNRgiTD6829mYf/v8SvjiTD682TvMBrX0cuqNSGEqIAKJ91WqxWt1vEvVldXV/Lz86t8ULVVedVJU7IslxXcSnuuyWJlw6F/iQozOP08KsyAzWYjJcuMu8aF7/adJi4hFXWBlVd/XETrfRsASJz5NoPGjKZ7lhlfvQaNiws2IDzYl3ErCguxSZEVIYSoWtURl3v16oXNZiv1c5VKxfTp08ss3rZp06YS5+666y7uuuuuyx6XKFyxdiIlm+Ef7VDOFe2zXVYx1CijPxoXF4drJ21aSdeL12/9eSdm/0BGRwKo2Jpw6TtBlNGfGYNa4wKcN1n48rFueGhd8dVrJOEWQogKqnDSbbPZGDVqlEM10dzcXB577DGHnqBfffVV1Y6wFimvOunl9sAs67kfbDnOt+MimfrNfoclZ1FhBmYMbEVSqonmDbyZ9+Nh4hJScbfkcuitwi9OVpULH4x6iewuffnzu4O0C/bjz+R0nuxtZNTSP5QZdimaJoQQVU/icu1hX7E2rHOww/myiqHaP49PSmNkRCjWi21Ct/91FlzUzOs5knMefnzR9lbaJeYx6QY37v1gO4/0aMKzt96AxVqAm8YFvVaNp86VAG83Gl+pX1gIIWqYCifdI0eOLHHu/vvvr9LB1HblVSe93B6YZT3XZLFisVoJD/YjOiIUi7WA+t5u+LpryLFYsV584xGXkIp3bhZ737lPuffVm6JZEtCFJReLsT3ey0iHYF+2H0/l/x7tRm6eFT+9VoqmCSFENZC4XHvYV6yNvtiiy668YqiT+jUHYPzKeL54tCttPn2fmft+ZsS9sznjbWBJpzuVazVqFa/f3Q6dqws/H/5XWZ7+09NRSuFUIYQQl6fCSffSpUurcxyCsquT/pfl2eU9V69xJSY2kUd6NOGWFvXIzMnDw02Nl5srKhd3LuTmUzfrPH+8+6ByX8yNA5Vgba9o6uKiUpaTdwqpQ6tAb0m2hRCimkhcvvZVVTeSzNw89Fo1Bk8tkUZ/pS1Y0fZdziSfz2HRxgQMnlqCp09m0uZlAHyf8SvxT87jhdV7ScmyFI41J4+xn+12uL9HmIH6knALIcR/VuE+3aL62auT9ggzOJz/r8uzy3uur17D6se706lxHZLOm8gvsOGmVvN3eg6JKdl4mzL5btlTyn2vRT3AzFseUY7t7UM8dGpMFiuRRn9C/KW4ihBCiNrrVHoO41bGc/Obmxm8eBs3v7GZJ1fGcyo9p9LP8nbTEB0Zyts//8VztzUn0ugPOLbvKkqvVTOut5GgOu58+GBHfj30CT4f/U/5PCrgDpbGJfLZmK7KhL5e51jxXraGCSFE1anwm25xZQT6urNwWDgpWRYu5Obh5VY1Pa3Leu4/503EJ6VdqkzuoSU9J486nlqsp89Qd9Td+GenAfByn8f5tMMdynPt7UMijP7kW21EhRmYM7gNDf30/2m8QgghxPWqqruRGDy1dG/iz6KNCTzYtTHtg/0YHRFKHQ8tUUaDUvjM4Kll/l1tqe/jTqYpDxUqOr3wOF7r1ijPaj7hS3I1bsQmpDJr3QHmDW1LTFwiHhpXfnwqitw8a5V99xBCCFFIku5rkI++egKds+dmmCwkp5mUyuR2EUZ/HmuixW3SC/gfO4zFUJdpT7zJylw/h2tGR4SyYsdJRkeEonV1YebAVjSqIwm3EEKI2ququ5H46LVoL77VNuVZlX3c9urlBdhISjWxLLozU9deKowas2o6rY/vVJ7T7Nk1WFwv1XmJTUhlcr8WjLspDLPVSqCPuyTaQghRDa7q8vI5c+bQqVMnvLy8CAgI4M477+TIkSMO19hsNqZPn05gYCDu7u706tWLAwcOXKUR1ywZJgvnsy0s/DWhROXTv//YR/N77iB8zxZ2tYsi/pNv8O/eiXVPRrLq0W58Nz6SSX2b4++hoWWgDyt2nGRvcjp6nczjCCGEqN2qoxuJ38VkuPiS8gOnMpjcrzkrxnRxSLjv/fMnehdJuN/8bp9Dwm2XZc7HRQU+btICTAghqstVTbo3b97ME088wW+//caGDRvIz8/n1ltvJTs7W7lm/vz5vPnmmyxatIg//viD+vXr06dPHy5cuHAVR359yDBZOHY2i/ikNI6dyyLDZCHDZOH4uSyOncti3IrdZFnySyTcfY/E8WPMk9RNPYMlsBFPdh+Nvk1zFm1MIOm8CTetC3N/OIwNGPHR78QnpfFwVFMijQbqScEVIYQQtVx1dCMxeGqZM6QNPu4alo3qxLfjIvnyse60aeiDVq0mM9cxnp/wC1T+3OT5tbQLrVvqWBr5uhMo28KEEKLaXNXXkj/++KPD8dKlSwkICGDXrl306NEDm83G22+/zUsvvcSQIUMAWL58OfXq1WPFihU8+uijV2PY14VT6TkO+8n0WjXLRnfi2NlsWjX05rUfD/NvphlznmPl0+F7fuDVn94F4IRvAxKWreHUj8lk5Rb23PZx1+CmUTNzYCvSTRZWPdYNvUaNx8UenkIIIURtVx3dSLItVr7fe5pdSWksGBbO3B8PKUn2kpEd0WsLv9IZU5JIMASzI7gNN495j2N1GoFK5bTSeaTRH1+9hkBf90qPRwghRMVdU9XLMzIyAKhTpw4AiYmJnDlzhltvvVW5RqfT0bNnT7Zt2+b0GWazmczMTId/aht7AZddJ9MY19vIkpEdWflwFwoKbGw4dAZLfgG7ktL54MEbHYLw2O3/pyTcAA/eMxPfxo3Qa9V4uqmJNPoT6OvGsA9+I82UR3hIHVoF+hBa11MSbiGEEOKiqu5GohRmS0ghOjKUpXGJDm+1zfkFeLqpiVs8mp+XjGXw/o0AHPMPApUKAF93x7frkUZ/XhncRhJuIYS4Aq6ZDbg2m40JEyYQGRlJ69atAThz5gwA9erVc7i2Xr16nDx50ulz5syZw4wZM6p3sNe4lCwLu04WzoQvjUtk0cYEvhkXwfLtJ3i2zw24uKhYNroTOXkFbD+eSoTRn5affcjELR8rz+g8djlh4c34698LxIzsRI7FysxBrXlwye+FBWDcK780TgghhKgtqrIbSdHCbOFBvkohNTudqwutQuvhklfYczv81BHWtO6tfB5p9MfPQ8OPT0WRbsrDy80VH72GRrKkXAghrohrJukeN24ce/fuJTY2tsRnqouztHY2m63EObvJkyczYcIE5TgzM5OgoKCqHew1zmqz8XF0ZzJy8ngkqinREaFo1C6MvcnI3B8OsSspnejIUG5tWY9Wgd7cc/J3Gm1drtzfbvxK2rYJ5eX+LTiTYSYxNZtGvu4kpZpITsu57KVxQgghRG1yud1Izmbmkm3Ox5RnxWS2QpGvPPkFNsb1NhIe5Is5vwA3Vxd6t6yvfG7W6ph66+PKcaTRn9mD25Cbl0+2OZ+6XjppByaEEFfYNZF0P/nkk3zzzTds2bKFRo0aKefr1y8MImfOnKFBgwbK+bNnz5Z4+22n0+nQ6XTVO+Br2Kn0HGZ9e4BdSek80qMJN7cI4GymGYD5PxxmV1K6wxvw/oe20Ofb13GxFXDh9gEcmb+IxTo924+nMnjxNkwWKxFGf6b1b0ViavZlL40TQgghRPmSUrM5lZ7Dwl8TiE9K54mbmnJzi3qsGdsdjdqF3DwrfVrUQ6WC0+k5Dgl3po8/f2w/wLfeOrJyrXi7ueLl5kpyqokcawGN/fU0DfC8ir+dEELUTlc16bbZbDz55JOsWbOGTZs2ERoa6vB5aGgo9evXZ8OGDYSHhwNgsVjYvHkz8+bNuxpDrrAMk4WULAuZuXl4u2swePy3WeWynmf/zGqzKQn3u8M7cCYjh7OZZqw2GyoVbE1IZVxvo7IX7P7477ln73ou6DzYENaFdYNeoG+WjRc/2eHws+MSUpm17gAzB7Vm4bBwSbiFEEKI/8hZXM/KzSc2IYWfD/1L59A6TBvQivk/HOKG+t4l9nFHNvHj00cjlOOcxk04vHEHDXRaTp7PRqt24URKNmezcoloamDp5hO8cXe7q/GrCiFErXdVk+4nnniCFStWsHbtWry8vJQ93D4+Pri7u6NSqXj66ad59dVXCQsLIywsjFdffRW9Xs/w4cOv5tDLVLxyOBQWT5k7tO1lFSwp63kqYOLFz5aM7MjWhFSe6ROGXuuCDVCrVDTy05NuurjP6+JesNj3ommUeRaAV3pF81HnO7EdT2dklNHpGLYmpJJfYJOEWwghhPiPisd1g6eWRcM74OOuoWldTzqE+JGZk8esbw/QLtivRMINcMMXS5U/761vZN5LnzDDQ8er3x+iZaAPe5LSeP625mz45QwBXm7MGtRaYrgQQlwlVzXpfu+99wDo1auXw/mlS5cyatQoACZOnEhOTg5jx44lLS2NLl26sH79ery8vK7waCtGqTBarE3IlqMpTFq9t9Jvist7Xr82DZTP7JXIb2lej8zcPL7bd5pOjeuwamcS425uVnhNnpUT8/orz1l64wA+7DxYqW7qrKWIXbY5v8LjFkIIIURJxeO6wVPLZ2O6MnPdASWx1mvVrBjTla0JqYyKCHUonKbXqomODKXjXZM4/8if2Fq3Yf39E4mPTcRksbLx8Dme7XMDt7Wsx/82H2PKHS2lracQQlxlV315eXlUKhXTp09n+vTp1T+gKlC0wmhxW46mFFb+rkTSXd7zRkWEKgVV6nnreP62Zni6uZKek8eYyCaE1fUgK68+mTn5rBh9I92bN3B4xoxbHHud61xL7yLn5SYVy4UQQtROVbVtrHhcnze0bYmEe8GwcFKzC+uxFJ0M91EX8KVpB68cc2fRxixcbnmZAhc1ERd7d+fmWQEw5VnJtxYwrncY7hq1JNxCCHGVXROF1GqSzNy8Mj+/UM7nlX2eXqsmPimNmNhEvnysK71vCOBUeg5go7G/nslr9rE1IRVdnpkjbw51uLfxC+scjqOM/py9YHb6c6RiuRBCiNqqKreNFY/rAd46h6Xj9j7c0RGFdW7sk+Hullz+fOsuAIaHbWDT4JcocFEDKPdP7d8SAK3ahQAvHb7uGllSLoQQ14DSX2uKy+Jdztvgyr4tLu951gIbSakm1j0ZAah4ff0R4o6l4uWmYera/WxNSMXdklsi4X7go98cjqOM/ozrHUbrQG+ijAaHz6RiuRBCiNqqvG1eGRdrplRU8bielWt1OA4P8iUuIZX45HSiwgzEJ6dzS0M3Dl1MuAG2B7dRtoXZxSWkkmXOJyrMgJ9eQ4i/h8RtIYS4Rsib7ipm8NTSI8zAFidLwi/nbXFZz4sKM7D/nww+fagzLioVr64/xLAuISyNSyQ8yFd5w73sy+nKPbmuWjpMXsvnt93AqO6NgcJZ9kOnMjFZrCzblsioiMY83qspbho1Pu4a6ecphBCi1qrqbWPF47qnm1r5TK9VU8dDy5KRHcmz2hjQtgGH9p/gufG3KNcs6TiIpR0HOX12Rk4e424y4uMu28GEEOJaIkl3FfPRa5k7tC2TVu91SJQv921xac/r0yKAl/u3xGSxkmay4OOuZfwtzXjtx8PEJaQyoksIHmYTUzZ+RJfk/QC81+Uu5vUaBRYrORYrAd46NC4u/JtpJikthx8PnGF4lxA+/z2JmYNa0+AyKq0LIYQQNUlVbxuzx/Vpa/dzQwNv3DRqIo3+HD5zgY9GduKNnw6z9eJycf/sdHYtul+599xTzzHLrVepz67n5Yb/f2xRKoQQoupJ0l0NAn3dWTgsnJQsCxdy8/By+29vi4s/z9tdg1btwuSv9nLozAU+G9OVqWv3MyoilF1J6YzrbaTJhX858PY9nNP7srNhC+b3HMnvQa2VZ2aZ81m48SgzBrbGVa2iX+v63NqyHnqtmtfvbicBWwghhKDqt41BYVyfNqAVk7/ay+e/J7Hi4a5YrQXM/v6Qsj/bw2xySLi3jnqaHbePISIprUT7MChc/Wbw0lFPiqYJIcQ1R/Z0VxMfvZamAZ60D/ajaYDnf05iiz7P30OrFEizVz2199FeMCycnJ830jwiHIC6pnSm3/KoQ8IdYfTnbGYurwxuw+vrD5OTZ+XtDX9R11OHMcBLEm4hhBDiIvtycGcut8hohsnC1oQURkc24e1726NTu1BggxFdQogZ1YlxvY3clhSvXD+z98NYJk4iJjaR0RGhRBj9HZ4XFWZg/tC2knALIcQ1St50X4dSsizsOpnGuN5GGvi6E5eQil6rpkldDwpWfs4tr41Vrn3vsdnsqGL8TAABAABJREFU9zEqx1FGAzMHtULjosIVePqWZmjULvJ2WwghhHCiqreNAaSZ8li39xTxSeksGBbOy1/vU5aUY7MREWZg9OynmG1KZ7d/E3Y3akHH/AJMFivjV8YTHRnKpH4tSD5vwtddQ9MAT0m4hRDiGiZJ93XoQq6FBcPCWRqXSERTg9LTc9szMxi54g3luveip9LtxSdYlm3BlGcl1OCBm6sLuXlWHvxkF7MHt8bHTcMNwd5X8bcRQgghrm2Xu22saG9vT50rWrUL+bYCfj9+nocjm9DQz52Z3x5QEm5jShILv5nP87c/zVIg/Jmn2L0xAbjUOsxksRKflAbAn8np8oZbCCGuA5J0XwfsQftCbmGFVJ2rmmVxfxGXkMqkfs2JjgwlfdLLjPzmI+WecQMnsq5uZyJ+Okx4sB+LNibwxSNd6ffBpVZh2WYrjXz1V+NXEkIIIa4rPvrK1WZx1tu7d/O6TLmjJRsO/cvwLiGkZptpF+zHqIhQtPv3EnVP4Uq1j76aRfeAGKVXd5TRn/jk9MI/hxmYPqAVKhU8HBkqq9SEEOI6IHu6r3Gn0nMYtzKeAYtiycjJ55V1B7GhIvbirPjZTDP9/t7DXUUS7vvvmcW6Fj2Awr6d4UG+AKhdHHt6+l5sByaEEEKIquOst7deq2ZElxCmrt1Py0AfVuw4ib+HjvikNBbO+Yyoe25Vrj392gLc3LSY8wuIMPoz887W9GpWl7VPRDDxtua4qKBJ3f9eL0YIIcSVIW+6r0H2N9tWm435Pxyia5M6vHh7C7LN+Tx7W3PyrAXotWpMFisr3/iM97+Yptw74MG32NcgzOF55vwCosIMxCZcCv6RRn9C/PUSsIUQQogqVry3t30bmF6rpl2wH7e1qsctLQKY+e0BAr5exVvfvalcO+Le2aBuQnSkH40NHoQH+5GaZSErN5+dSWkcOZ3J63e3uxq/lhBCiMskb7qvMfY32ze/uZlTaTkM7xrCb8dS6ffOVh6M+Z3v9p0mKzefZaM7s6l1Lm8e+QaXnBy2B7eh/fgVJRJuAB93DVP6t+SDLceBwqVpc4e0paGfLC0XQgghqlrx3t7RkaGs3pVMgLcbfyalMWBhHKlZFoJXfeKQcN89fC5xjdsTl5BKtyb+mPOsLNqYQEZOHqOW/cGfyenMHNRaJsyFEOI6I2+6ryEZJgub/zrHqO6NGdY5mGB/d3YcP8+oiFCGdw0hyE/P3r/TGfPxTmZ/NZ/OB34F4Nyj4/ig7VDSk7JLPDPKaCA3z0pWbh4rxnT5zz3DhRBCCFE2e29vvVbNIz2acFur+rhrGvHS1/uUHts+G37glfWLlXseHfwifxRp76l2UZFhyiPKaKChnzsbnulBgJdO4rcQQlyHJOm+hthbiMQlpGLw1PJ/j3Zj3b7TSoCGwh7bB2f1c7jvxY738dRtrcj76bCy19t+7ciIxjy5Mp5vx0XSNMDziv0uQgghRG3l6ebKLS0CGN4lmKWxieQX2OjWxF+J583OnaDjvHHK9Q/ePYMtTW50eEaBzcbpjByeuMmIj5uGBr7uV/R3EEIIUXUk6b5GZJgsTCkyAz5vaFumrd3vkHADfPZwN4fjsOfWkJeQzohIC+2D/XjhYt9OnasL8cnpjF8ZT8cQPymYJoQQQlQjez2WNJMFFQVM69+SF9cU9t8eFRFKRk7hkvNex/7gje/eAsCi0XL7g2+TYAh2eFak0Z9Gvu6cycgl0NdNEm4hhLjOSdJ9jUjJsih9OgHqebs5HAOcmNff4bjp82uxuqgBMF3c9xUe5MvYz3Yr1/QIMzBvaFtZjiaEEEJUkaL9t33cNWjVLkxes4+tR1MweGpZ8XBXktNylDhuzi9A5+rCiPjvlSXl+xuEkbL6G+odSCehSLyPMhqYfHtzTJZ8Wjbwxl2jviq/oxBCiKojSfcVVjRQe7trMHgU7q9ON1kweGp57a62BPq5cyEn/9JNNhsn5g9weM73f/6DdUW8cqxzLayJ5+OuYcnIjgAE19HL/i8hhBCiChXvv/1MnzDqeuoYHRHKIz2a0NDXnVe/O8iD3UOVe3SuLri887bDHu5RQ6di+uEE0ZGhPNHLSL7NRl5+AWcvmHHTqOm/MJY1Y7tT19vtiv+OQgghqpYk3VdQ8UAN0KdFANMHtsLT3ZUVD3dl/g+HGHdzMyz5BQCobAW88+3rDs9p/MI6lhSZ+Y4w+hOfnE6E0Z9Nf53jz+R05g9tK8vRhBBCiCpUvP+2XqumX6sGzFh3QNkO9snozoy/pRlqlYrFIzrgplHT9pFhGLZuVJ7T6YmPSfHwA4uVPUlpDAlvSFKqCYOnDg+dKz/sP82NIX7Ul4RbCCFqBEm6r5DigRoKg/WD3RrzT3oOdb10TP16Pzc2rsMbPx2mXbAfkU18iYh5m4GHtgCwr15TBox6R0myoTDhHh0Ryuc7kpjavyUAD0eGytttIYQQooqlZltoF+TLqO6NyS+w0bSuJzO+2U98UjrjehvpElKHEIOe5LQcMnLycNOoaXFnHwxH9irPePeLbcxt0wRzfgG+7ho83Vx57afDPHvrDZzPsmDOs7InqXDyXGK5EELUDJJ0XyEpWRaHhBtgXO+mBPq5cfBUJt7uGp68uRne7q60aeiDNjeH8Q+PIDW3gCSferwVOYI1rXsTFWZgSv+WZObk0a9VfVxcVJzNNNM80JvXfzrC63e3kyAthBBCVAMbEJ+URkxsIguGhfNvZi67ktJZMCyc1buSGdgukJcuFk8D+OXDR2lw/h/l/q2b/6R9YCBqFxUqlRU/vZZ/M3NpGuBFZk4evh4afNFILBdCiBpGku4rJDO3sGqpXqsmOjKUjsF+NK3rgdlawP/9kczWhFT0WjULhoWz6sd43p9Q2BasAbB/2ZfcG9WLARYrfnoNd74bx6pHu/HDgTPExCZisliJNPozd4jMigshhBDVIcNkYfrawrfaC4eF46ZR46JS8clDXTiZksWEW29g+jeXlpk/s/UzmhZJuN/9v+30aBrMTwf+VWJ3zKhORC/7A4ABbRvw0LKdhBo8WDgs/Kr8jkIIIaqHJN1XiLebRkmqV+w4SfsgX2ITUvh+32llRjw6MpQfVm/m/Sn3Kvd91HEQsw+5EZF3lPBgP8KDfLkx2BcPnZpezerSKtAbrbqwPZjFWnC1fj0hhBCixsowWTidcemt9rK4RIcOI3MGt+FcpllJuPsdjuXJbZ8rn7d96nPebtOE5PM5LNqYABS2BbPZbABEhRmIPZpCcloOyWk5pGRZZBJdCCFqEEm6rxCDp5Yp/VuyYsdJRnQJYVlcIqMiQh2Cdo+ME3QuknC/33kIc26KBiAuIZWxvYwknTcxOjKUEykmRl2cHbe7pXnAlfllhBBCiFrCXgR1WOdgHunRhGVxicQWa+kZ4K0j/WIf7nnfv8O9+zYAsK55FM/e8QxmVy2uahU6W2GnkQijP6MiQlGrVESFGXg4qgmPfbpLed6Fi6vjhBBC1AwuV3sANV2GycKxs1mcSM2mQ4gvw7uE4KZRszUhFXP+pTfTESf20Pmevsrxyra3Kgm3nc7VhfaNfNj3TwZmJ2+1vdw01feLCCGEELVM0SKoeo2aW1rUK5Fww6U+3J+vmKQk3D8268b4Ac9hdi18Y+2v1xLo607MqE6EB/sxfmU8HjpXujapw2Of7sJksSrPk3guhBA1i7zprkan0nOYunY/zRt40ymkDvU1apbFJTK8Swhwqbd26zMJfPbFy8p973S/j7ei7i/xPDeNmn4LYokw+tOvVQP0WrUSpHuEGTB4ylI0IYQQoqoULYKqdlHh6qJiyciOWKwFBHi5oVGrOJ2RSyM/d4L69MA7eb9y74G3P8RtezImi5UoowG1i4r7l+wgJcuiXHPBnM9rP/3l8DMlngshRM0jSXc1yTBZeOW7g4zrHcaiX/6ia+M6AMQmpDI6IhSA+OR0hnrn8Ozi2cp9y4Y/y1tBN5V4XlSYgc1/nQUKl5rPWneA6MhQFm1MoEeYgXnSWkQIIYSoUpm5eei1ap67NYxgfz0vF6lMDoXLxMdENqFVQ1+H+0InfkP3fy6wYFg4K3ecZPzNzfg30+yQcEeFGfg3M9fhPonnQghRM0nSXU0ycvJ4ts8NTPtmP92M/jSq484/6YXBNT45nSijgS1f/crSw6vxv5BCkk89nh86mYefu4/IYvvFnO332pqQyuTbWzC4fUMMnloJ0EIIIUQV8/fQsu7JSMx5Vl5cs08plGYXn5TOTS3qOZxrPPFbUKmIS0jFBRVTB7bkrfVHaBLgpVxjT671WjWdG9fhQm4eXm4aiedCCFFDSdJdDU6l5/DSmn2MjmzC1oRUZg1qTY7Fiq+7hsUjOuChdeWB+O+p9/4Eclx1/NW7P9Y33uA5HwOebmpeGdyG3Dwrmbn5qIDYhJQS+70ALPkFtAz0uTq/pBBCCFGDnUrPYcfxVIL89RQUUCLh1mvVHJzVz+GcPeG225qQwrkLZp7v2xxzfgG9mtXFT691SK4lyRZCiJpPCqlVsQyThRe+3MvWhFRcXVSF+7JUKmZ/f4g7FsYy9rPdmAcMpN6kCQC455s5OWMep3Q+bD56jjd++gtrgQ2VCurotdz1v+28/fPREgk3SKEVIYQQV17jxo1RqVQl/nniiSecXr9p0yan1x8+fPgKj7zi/s3MZerX+2gX5Ie1AKUyucJm46vNCxxONX5hnUPCbZdfYMNiLaCBtxsdG9ehaYCnJNpCCFHLyJvuKmTv4zmiawgv9GuOXqtm1aPdmPL1pSVpP3/4GMbzfyv3bN38Jx71A3BxUdEh2I+h4Q1Z8MtfTLq9JW6uLvQIM7DlYhGXoqTQihBCiKvhjz/+wGq9NBG8f/9++vTpw913313mfUeOHMHb21s5rlu3brWN8b84lZ7DiZRsmgf6MGvdAYZ1CUGvUTOut5HwIF/MeVZavfMqIVt+AMDq7k7T8atKfZ6rSkV9LzdJtIUQohaTN91V5HR6Dr8cPouLCkL89eRYrOTmFX4p6RhaB71WzeE3hjgk3J3HLse3aTDuWjXRy/5gaVwiu5PSeLrPDdTzLgzQc4e2pUeYweFnSaEVIYQQV0vdunWpX7++8s+6deto2rQpPXv2LPO+gIAAh/vUavUVGnHF2VuEpefk0SHYj60Jqeg1anw9tMQnpTFm2e9Edm5GSMy7AEy75VHe+jqeCKO/0+dFGv1p5Ocu8VoIIWo5edNdBTJMFv5OM9HQ1535Px6meaAP4UG+nMsy46vXcGuLejzZrzUu+ZeWp7V96nMy3TxJPp+DztWFG4N9mT6gFcnnTVzIsQAeAAT6urNwWDgpWRYptCKEEOKaYrFY+PTTT5kwYQIqJ0uriwoPDyc3N5eWLVvy8ssvc9NNJTt12JnNZsxms3KcmZlZZWMuy9kLZnadTOO5W8Mw5xfu2/b31DLvx8P89tdZEl8bpFyb+PgzLPe+GX1sIguGhQOO+76jwgzMHNgKd821N7kghBDiypKkuwqkm/JIOJvFz4f+ZViXEJbGJbJoY4Ly+Tv7VtEi71LCfcOE1Zg1OgB83TV4uWloF+xH8nkTo5b9wS8THN8W+OglyRZCCHHt+frrr0lPT2fUqFGlXtOgQQM++OADbrzxRsxmM5988gk333wzmzZtokePHk7vmTNnDjNmzKimUTt3Oj2HvPwCvnq8OxfM+Xjo1HzxSFeyzVb+OHyaY28MUa7dFHojO+98lIikNOISUhm/Mp7oyFCiI0Ix5xfg666hvrcbGhcVdb3drujvIYQQ4tqjstlstqs9iOqUmZmJj48PGRkZDnvJqkqGyUJKlgVTXj5p2Xm4qlVsO5ZKTGwiJouVUTu/YfovHyjXN31+LVaXwlnvKKOBiX1v4N4PfiM82JfwYD/2JqezcFi4JNlCCFHDVXd8uhJuu+02tFot3377baXuGzBgACqVim+++cbp587edAcFBVVrLD96Not3fv5L6cOt16qZckcLwjxd6Ng6WLn256adGHPXNPRaNQuGhbM8LtGhd3dUmIHREY3xcdfg7qqiZUO/Kh+vEEKIa0NFY7m86f4PzqTncN5kYc73hxwCboTRnwX3tWfakk380aglmToPlnXoT68v3sP67jblmmkDW3HfB9sJD/ZldEQoX/yeJHu1hRBCXBdOnjzJzz//zFdffVXpe7t27cqnn35a6uc6nQ6dTvdfhlcp6Tl5JRLuBcPC+WLDXoY9daty3WlPf8bcNQ0Ak8XK+JXxfP5IV0ZdKJwgaOjrzi+H/2XcingWDe+Abx39FfsdhBBCXLsk6b5MGSYL6Tl5JRJugG1Hz/Hgyjf5YV8sfe96hT4Pvcu/Xga65ttYPKIDOlcX4pPTyS8o4NOHuqB2UaF2UfH63e0k4RZCCHFdWLp0KQEBAdxxxx2Vvjc+Pp4GDRpUw6guT47F6hDLoyND+fzn/XxUJOE+5+FLtyeWO9x3Y7AfWrUL7tr/Z+++46Ku/ziAv46DA45xIIiCgqLgXjhyHIgjV5qzMjIXlpa5sqFmKpo50tTUrDRXQxs/00wtMzUFRy7MraAoKjhA9gEHd9/fH3RfOW4wZBzyej4ePOq+6z7fO+HzfX/G+yOFo601Xl3/DxLS1VD6ueF+ahba+LiU1y0QEZEFY9BdQqmqHAiAQcBto8lB1NJBAABBIkG72xfxa9O8ZDFWEmD892cA5A0/ez3Ql0E2ERFVOlqtFhs3bsTIkSNhba3/KDFjxgzcvXsX33zzDQBgxYoVqFu3Lpo2bSomXtu2bRu2bdtWEUU3Ki0rV+91m+q26Db68brjGfX8MWXGN0CBYeQfDWiGB6mZetPKlH5umNjNH3WryVnHExERAAbdxaabw52kUkOj1Z8Ob6/OwuXlL4ivL874GL9qWgDIm78dEZ233naQvzsWDmrOypiIiCqlv/76C7GxsQgNDTXYFx8fj9jYWPG1Wq3Gu+++i7t378Le3h5NmzbF7t278dxzz5VnkU26lZgBuexxhvFqqhS0fO1lVIu7CgBYrnwF67oNR6iPq5gozbuaPTKyNThzKwm1q9mjXwtPdGlQHXKZFA4ya7jIbVjHExGRiInUiiEuORPT/ncO4f8Fz+tHtsWYzacAAIrMNPy7MkQ89pemXaH4eSvGbD6Vt2zIgKZITFcjVyPAu5o9arlynhcRUVX2NCRSKy9l9VndTVJhzq8X8MFzTTBr5wWcvXgbR78YDUV2BjKtbTHypbk44d3M4LzdEwMhs7GCjZUEcpk1PJihnIioSmIitVKWolLrBdwAEHk7GUF+7rhy9hpOfj5C3L6u3UAcHjsdUx1k+H1yEOysraDRCqjmIIObA5f/IiIiqmh3k1TIztXi7R4N8UilxodKT1T/bDwU2RkAgG9efQ8nahgG3EH+7niQloVarvao6+5U3sUmIqJKiEF3ET1Iy9YLuAFgQ0QMfnyxIdxnvihu+6TzCPw7/E2MVtbF5wej8SmToxEREVmMFJUayaocxKVkYvXBaByJTkSdpDjsX/cGrAUtNC6uiPr2Z3Rv9wwifruovxyYX95yYFv+icXSF1tW4F0QEVFlwqC7iJJVOQbbVGoNzr75PoY/uA0AOD97Cdq8PBxWt5Pxw4lYfDSgGQNuIiIiCxGXnInYRyrceJiO3efjcSQ6EX4Jsfhr/XjxmNmTPkMbzwZwT87EvAHNkK7ORUa2BtZWEkREJ2DrP7GYx/qdiIiKgUF3EcQlZ8JOZqW3zSv1AdrHXsD8Dq/AJSURLVYvxAOPugCAfs09MbxDHdTgHC8iIiKLkKJSY9q2c3i/d0PUcLbDkehENLl/A3s2TRKPeav/NOzOroaXazph0e9XEBmbjNBAXwR4uwAA+jSridGd6jLgJiKiYmHQXQhdJf1er4ZQ+rnhSHQi2t2+gBW/fYpaaQ+RI7XGD5MXoFHjJrBLzUY1Bxlc7W0YcBMREVmQhHQ1wqMSML6LH7JztaiRlqAXcL82eBb+8m8PALiTlIkAH1eM7+IHW2sr5Gi08KkmZxJUIiIqEQbdhdBV0m3rumJCVz90/OdPTNgyBwBwvVotSJSdMLGrP6QSCWq72HOZECIiIguUmpU3TczRTgptzF38tGW6uO/Vlz5ChG+A+LqWiz0Udjao5iCDg40UzqzbiYjoCTDoLoSukv7q0A10vnMBE76eI+67t/UXdFLUgJUVmJWciIjIgjnb2QAAUi9dg7JnXo/2LZeaeOXlBbir8BCPC/J3z9v3SIV67g6o6WJf/oUlIqKnilXhh1Rtukpapdbg+Nf/E7cf3HMMWd510NLbBT6ucgbcREREFszdUYYgf3ccWPMDAECQSrHkg68MAu65/ZvC0dYazzWryYCbiIhKBXu6C+HuKENnf3ccjkrAl63747JrbRzybY2UQ4kIipNg6YstOX+biIjIwinkMswf0AxzszIx08YOfSeEYEqjungzRwuVWgO5rRTOttbwdnOo6KISEdFThkF3IRRyGRYNaYHp287hcBSws0kwAKCzvzsWD2nBgJuIiKiScJHb4L3BrfGoVzMkZ+YgM1GFyNvJuBSXgrGd66M2e7aJiKgMMOguAi8Xe6wKCUBCuhppWTlwsrOBuyPncBMREVUmCrkMKrUGZ28nw8PJFtm5WgR4u6CWiz3qVuNUMSIiKhsMuotIIWeQTUREVNl5utjjuWY19RrS29ZxZR1PRERlhkE3ERERVSlsSCciovLE7OVEREREREREZYRBNxEREREREVEZYdBNREREREREVEYYdBMRERERERGVEQbdRERERERERGWEQTcRERERERFRGWHQTURERERERFRGGHQTERERERERlREG3URERERERERlhEE3ERERERERURmp0KD78OHDeP755+Hl5QWJRIIdO3bo7RcEAWFhYfDy8oK9vT26dOmCixcvVkxhiYiIiIiIiIqpQoPujIwMtGzZEqtXrza6/5NPPsGyZcuwevVqnDx5EjVr1kSPHj2QlpZWziUlIiIiIiIiKj7rinzzPn36oE+fPkb3CYKAFStWYObMmRg8eDAAYPPmzahRowa2bNmCcePGGT0vOzsb2dnZ4uuUlBQAQGpqaimXnoiIqOR09ZIgCBVcEsun+4xYlxMRkSUpal1eoUG3OTExMbh37x569uwpbrO1tUVwcDCOHj1qMuheuHAh5s6da7Dd29u7zMpKRERUUmlpaVAoFBVdDIumG+HGupyIiCxRYXW5xQbd9+7dAwDUqFFDb3uNGjVw69Ytk+fNmDEDU6dOFV9rtVo8evQIbm5ukEgkZVPYp0hqaiq8vb1x+/ZtODs7V3RxLB4/r+Lh51U8/LyKp7J9XoIgIC0tDV5eXhVdFIvn5eWF27dvw8nJqcLr8sr276ykeJ9PF97n06Mq3CNQee6zqHW5xQbdOgUrV0EQzFa4tra2sLW11dvm4uJSFkV7qjk7O1v0P3BLw8+rePh5FQ8/r+KpTJ8Xe7iLxsrKCrVr167oYuipTP/OngTv8+nC+3x6VIV7BCrHfRalLrfYJcNq1qwJ4HGPt86DBw8Mer+JiIiIiIiILJHFBt2+vr6oWbMm9u3bJ25Tq9U4dOgQOnXqVIElIyIiIiIiIiqaCh1enp6ejujoaPF1TEwMzp49i2rVqsHHxwdTpkzBggUL4O/vD39/fyxYsAByuRyvvPJKBZb66WZra4s5c+YYDNEn4/h5FQ8/r+Lh51U8/LyoPFSVf2e8z6cL7/PpURXuEXj67lMiVOBaJX///Te6du1qsH3kyJHYtGkTBEHA3Llz8dVXXyEpKQnt27fH559/jmbNmlVAaYmIiIiIiIiKp0KDbiIiIiIiIqKnmcXO6SYiIiIiIiKq7Bh0ExEREREREZURBt1EREREREREZYRBNxEREREREVEZYdBdBS1cuBDt2rWDk5MTPDw8MHDgQFy9elXvGEEQEBYWBi8vL9jb26NLly64ePFiBZW4Yn3xxRdo0aIFnJ2d4ezsjI4dO+L3338X9/OzMm/hwoWQSCSYMmWKuI2f2WNhYWGQSCR6PzVr1hT387My7u7du3j11Vfh5uYGuVyOVq1a4fTp0+J+fm5UEnXr1jX4fZRIJHjrrbeMHv/3338bPf7KlSvlXHLzDh8+jOeffx5eXl6QSCTYsWOH3v6S/r5s27YNTZo0ga2tLZo0aYLt27eX0R0Ujbn7zMnJwbRp09C8eXM4ODjAy8sLI0aMQFxcnNlrbtq0yeh3nJWVVcZ3Y1ph3+eoUaMMytuhQ4dCr1uZvk8ARr8XiUSCJUuWmLympX2fZflMbknfZ2H3+TT9fprCoLsKOnToEN566y0cP34c+/btQ25uLnr27ImMjAzxmE8++QTLli3D6tWrcfLkSdSsWRM9evRAWlpaBZa8YtSuXRuLFi3CqVOncOrUKXTr1g0DBgwQ/+DxszLt5MmTWLt2LVq0aKG3nZ+ZvqZNmyI+Pl78OX/+vLiPn5WhpKQkKJVK2NjY4Pfff8elS5fw6aefwsXFRTyGnxuVxMmTJ/V+F/ft2wcAePHFF82ed/XqVb3z/P39y6O4RZaRkYGWLVti9erVRveX5Pfl2LFjGDp0KIYPH45///0Xw4cPx0svvYR//vmnrG6jUObuU6VS4cyZM5g1axbOnDmDX375BdeuXUP//v0Lva6zs7Pe9xsfHw87O7uyuIUiKez7BIDevXvrlXfPnj1mr1nZvk8ABt/Jhg0bIJFIMGTIELPXtaTvs6yeyS3t+yzsPp+m30+TBKryHjx4IAAQDh06JAiCIGi1WqFmzZrCokWLxGOysrIEhUIhfPnllxVVTIvi6uoqfP311/yszEhLSxP8/f2Fffv2CcHBwcLkyZMFQeC/r4LmzJkjtGzZ0ug+flbGTZs2TQgMDDS5n58blZbJkycL9evXF7RardH9Bw8eFAAISUlJ5VuwJwBA2L59u/i6pL8vL730ktC7d2+9bb169RJefvnlUi9zSRS8T2NOnDghABBu3bpl8piNGzcKCoWidAtXiozd58iRI4UBAwYU6zpPw/c5YMAAoVu3bmaPsfTvs7SeyS39+yx4n8Y8Db+f+bGnm5CSkgIAqFatGgAgJiYG9+7dQ8+ePcVjbG1tERwcjKNHj1ZIGS2FRqPBDz/8gIyMDHTs2JGflRlvvfUW+vbti2effVZvOz8zQ1FRUfDy8oKvry9efvll3LhxAwA/K1N27tyJtm3b4sUXX4SHhwcCAgKwbt06cT8/NyoNarUa3333HUJDQyGRSMweGxAQAE9PT3Tv3h0HDx4spxKWjpL+vhw7dkzvHADo1atXpfodS0lJgUQi0RslY0x6ejrq1KmD2rVro1+/foiMjCyfAj6Bv//+Gx4eHmjQoAFef/11PHjwwOzxlf37vH//Pnbv3o0xY8YUeqwlf5+l9Uxu6d9nwfs0dczT9PvJoLuKEwQBU6dORWBgIJo1awYAuHfvHgCgRo0aesfWqFFD3FfVnD9/Ho6OjrC1tcUbb7yB7du3o0mTJvysTPjhhx9w5swZLFy40GAfPzN97du3xzfffIO9e/di3bp1uHfvHjp16oTExER+VibcuHEDX3zxBfz9/bF371688cYbmDRpEr755hsA/DdGpWPHjh1ITk7GqFGjTB7j6emJtWvXYtu2bfjll1/QsGFDdO/eHYcPHy6/gj6hkv6+3Lt3r1L/jmVlZWH69Ol45ZVX4OzsbPK4Ro0aYdOmTdi5cye2bt0KOzs7KJVKREVFlWNpi6dPnz74/vvvceDAAXz66ac4efIkunXrhuzsbJPnVPbvc/PmzXBycsLgwYPNHmfJ32dpPpNb8vdp7D4Lehp/P60rugBUsSZMmIBz584hIiLCYF/Bln1BEApt7X9aNWzYEGfPnkVycjK2bduGkSNH4tChQ+J+flaP3b59G5MnT8aff/5pdk4NP7M8ffr0Ef+/efPm6NixI+rXr4/NmzeLiW/4WenTarVo27YtFixYACCvl/HixYv44osvMGLECPE4fm70JNavX48+ffrAy8vL5DENGzZEw4YNxdcdO3bE7du3sXTpUnTu3Lk8illqSvL7Ull/x3JycvDyyy9Dq9VizZo1Zo/t0KGDXhIypVKJ1q1bY9WqVVi5cmVZF7VEhg4dKv5/s2bN0LZtW9SpUwe7d+82G5RW1u8TADZs2IBhw4YVOpfXkr/P0n4mt9Tv09x9Ak/v7yd7uquwiRMnYufOnTh48CBq164tbtdlTi7YGvbgwQODVrOqQiaTwc/PD23btsXChQvRsmVLfPbZZ/ysjDh9+jQePHiANm3awNraGtbW1jh06BBWrlwJa2tr8XPhZ2acg4MDmjdvjqioKP77MsHT0xNNmjTR29a4cWPExsYC4N8wenK3bt3CX3/9hddee63Y53bo0MEie1lMKenvS82aNSvl71hOTg5eeuklxMTEYN++fWZ70YyxsrJCu3btKtV37OnpiTp16pgtc2X9PgEgPDwcV69eLdHvq6V8n6X9TG6p36ep+9R5mn8/GXRXQYIgYMKECfjll19w4MAB+Pr66u339fVFzZo1xaytQN7ctkOHDqFTp07lXVyLJAgCsrOz+VkZ0b17d5w/fx5nz54Vf9q2bYthw4bh7NmzqFevHj8zM7Kzs3H58mV4enry35cJSqXSYEmVa9euoU6dOgD4N4ye3MaNG+Hh4YG+ffsW+9zIyEh4enqWQanKRkl/Xzp27Kh3DgD8+eefFv07pnugj4qKwl9//QU3N7diX0MQBJw9e7ZSfceJiYm4ffu22TJXxu9TZ/369WjTpg1atmxZ7HMr+vssq2dyS/s+C7tPoAr8fpZv3jayBG+++aagUCiEv//+W4iPjxd/VCqVeMyiRYsEhUIh/PLLL8L58+eFkJAQwdPTU0hNTa3AkleMGTNmCIcPHxZiYmKEc+fOCR988IFgZWUl/Pnnn4Ig8LMqivzZywWBn1l+77zzjvD3338LN27cEI4fPy7069dPcHJyEm7evCkIAj8rY06cOCFYW1sLH3/8sRAVFSV8//33glwuF7777jvxGH5uVFIajUbw8fERpk2bZrBv+vTpwvDhw8XXy5cvF7Zv3y5cu3ZNuHDhgjB9+nQBgLBt27byLHKh0tLShMjISCEyMlIAICxbtkyIjIwUswIX5fdl+PDhwvTp08XXR44cEaRSqbBo0SLh8uXLwqJFiwRra2vh+PHj5X5/OubuMycnR+jfv79Qu3Zt4ezZs3rPP9nZ2eI1Ct5nWFiY8McffwjXr18XIiMjhdGjRwvW1tbCP//8UxG3KAiC+ftMS0sT3nnnHeHo0aNCTEyMcPDgQaFjx45CrVq1nqrvUyclJUWQy+XCF198YfQalv59ltYzuaV/n4Xd59P0+2kKg+4qCIDRn40bN4rHaLVaYc6cOULNmjUFW1tboXPnzsL58+crrtAVKDQ0VKhTp44gk8mE6tWrC927dxcDbkHgZ1UUBYNufmaPDR06VPD09BRsbGwELy8vYfDgwcLFixfF/fysjPvtt9+EZs2aCba2tkKjRo2EtWvX6u3n50YltXfvXgGAcPXqVYN9I0eOFIKDg8XXixcvFurXry/Y2dkJrq6uQmBgoLB79+5yLG3R6JY2K/gzcuRIQRCK9vsSHBwsHq/z888/Cw0bNhRsbGyERo0aVXhjg7n7jImJMfn8c/DgQfEaBe9zypQpgo+Pj/gM0LNnT+Ho0aPlf3P5mLtPlUol9OzZU6hevbpgY2Mj+Pj4CCNHjhRiY2P1rlHZv0+dr776SrC3txeSk5ONXsPSv8/Seia39O+zsPt8mn4/TZEIgiCUXr85EREREREREelwTjcRERERERFRGWHQTURERERERFRGGHQTERERERERlREG3URERERERERlhEE3ERERERERURlh0E1ERERERERURhh0ExEREREREZURBt1EZFSXLl0wZcqUCi3DlStX0KFDB9jZ2aFVq1YVWhYiIqLKhPU4keVg0E1USiQSidmfUaNGlUs5nn/+eTz77LNG9x07dgwSiQRnzpwpl7I8qTlz5sDBwQFXr17F/v37S/XamzZtgouLi962y5cvo3bt2hg8eDCys7NL9f2IiMiysR4vfWVZjwOAWq3GkiVL0Lp1azg4OEChUKBly5b48MMPERcXV+rvR1RS1hVdAKKnRXx8vPj/P/74I2bPno2rV6+K2+zt7fWOz8nJgY2NTamXY8yYMRg8eDBu3bqFOnXq6O3bsGEDWrVqhdatW5f6+5aF69evo2/fvgb3URxqtRoymazQ406ePIk+ffpgwIABWLt2LaRSaYnfk4iIKh/W46WvLOvx7Oxs9OzZE+fOncPcuXOhVCqhUChw/fp17NixA6tWrcLChQufpPhEpYY93USlpGbNmuKPQqGARCIRX2dlZcHFxQU//fQTunTpAjs7O3z33XcICwszGG61YsUK1K1bV2/bxo0b0bhxY9jZ2aFRo0ZYs2aNyXL069cPHh4e2LRpk952lUqFH3/8EWPGjEFiYiJCQkJQu3ZtyOVyNG/eHFu3bjV7fxKJBDt27NDb5uLiovc+d+/exdChQ+Hq6go3NzcMGDAAN2/eFPf//fffeOaZZ+Dg4AAXFxcolUrcunXL5PudPn0a8+bNg0QiQVhYGADg/Pnz6NatG+zt7eHm5oaxY8ciPT1dPG/UqFEYOHAgFi5cCC8vLzRo0MDsfQHAgQMH0K1bN4wePRrr169nwE1EVAWxHq9c9fjy5csRERGBAwcOYNKkSWjTpg38/PzQq1cvfPHFF1iwYIHZz4OoPDHoJipH06ZNw6RJk3D58mX06tWrSOesW7cOM2fOxMcff4zLly9jwYIFmDVrFjZv3mz0eGtra4wYMQKbNm2CIAji9p9//hlqtRrDhg1DVlYW2rRpg127duHChQsYO3Yshg8fjn/++afE96ZSqdC1a1c4Ojri8OHDiIiIgKOjI3r37g21Wo3c3FwMHDgQwcHBOHfuHI4dO4axY8dCIpEYvV58fDyaNm2Kd955B/Hx8Xj33XehUqnQu3dvuLq64uTJk/j555/x119/YcKECXrn7t+/H5cvX8a+ffuwa9cus+Xevn07+vbti5kzZ2LJkiUlvn8iInr6sR63nHp869at6NGjBwICAozuN1UuogohEFGp27hxo6BQKMTXMTExAgBhxYoVesfNmTNHaNmypd625cuXC3Xq1BFfe3t7C1u2bNE75qOPPhI6duxo8v0vX74sABAOHDggbuvcubMQEhJi8pznnntOeOedd8TXwcHBwuTJk8XXAITt27frnaNQKISNGzcKgiAI69evFxo2bChotVpxf3Z2tmBvby/s3btXSExMFAAIf//9t8kyFNSyZUthzpw54uu1a9cKrq6uQnp6urht9+7dgpWVlXDv3j1BEARh5MiRQo0aNYTs7Gyz1964caMglUoFqVQqzJo1q8hlIiKipx/r8TyWXI/b2dkJkyZN0ts2cOBAwcHBQXBwcDD7+RKVN/Z0E5Wjtm3bFuv4hw8f4vbt2xgzZgwcHR3Fn/nz5+P69esmz2vUqBE6deqEDRs2AMibUxUeHo7Q0FAAgEajwccff4wWLVrAzc0Njo6O+PPPPxEbG1viezt9+jSio6Ph5OQklrNatWrIysrC9evXUa1aNYwaNQq9evXC888/j88++0xv/lxRXL58GS1btoSDg4O4TalUQqvV6s27a968eZHmcdvb26NHjx5Yt24dLl++XKyyEBFR1cN63LLq8YK92WvWrMHZs2cRGhoKlUpVrLIRlSUmUiMqR/krGQCwsrLSGzoG5CVm0dFqtQDyhqa1b99e77jC5h2PGTMGEyZMwOeff46NGzeiTp066N69OwDg008/xfLly7FixQo0b94cDg4OmDJlCtRqtcnrSSSSQsvapk0bfP/99wbnVq9eHUDenLZJkybhjz/+wI8//ogPP/wQ+/btQ4cOHczei44gCCaHi+XfXvBzNkUqlWLHjh0YMmQIunbtigMHDqBJkyZFOpeIiKoe1uOWU4/7+/vjypUrets8PT0BANWqVStSeYjKC3u6iSpQ9erVce/ePb1K8OzZs+L/16hRA7Vq1cKNGzfg5+en9+Pr62v22i+99BKkUim2bNmCzZs3Y/To0WKFFh4ejgEDBuDVV19Fy5YtUa9ePURFRRVa1vwt2lFRUXqtyK1bt0ZUVBQ8PDwMyqpQKMTjAgICMGPGDBw9ehTNmjXDli1bivRZAUCTJk1w9uxZZGRkiNuOHDkCKyurIiVMM8bW1ha//PILnnnmGXTt2hUXLlwo0XWIiKjqYT1ecfV4SEgI9u3bh8jIyGKdR1QRGHQTVaAuXbrg4cOH+OSTT3D9+nV8/vnn+P333/WOCQsLw8KFC/HZZ5/h2rVrOH/+PDZu3Ihly5aZvbajoyOGDh2KDz74AHFxcXrri/r5+WHfvn04evQoLl++jHHjxuHevXtmr9etWzesXr0aZ86cwalTp/DGG2/oLZUybNgwuLu7Y8CAAQgPD0dMTAwOHTqEyZMn486dO4iJicGMGTNw7Ngx3Lp1C3/++SeuXbuGxo0bF/nzGjZsGOzs7DBy5EhcuHABBw8exMSJEzF8+HDUqFGjyNcpSCaTYdu2bejUqRO6deuG8+fPl/haRERUdbAer7h6/O2330bHjh3RrVs3fPbZZzhz5gxiYmKwd+9e/P7771yJhCwKg26iCtS4cWOsWbMGn3/+OVq2bIkTJ07g3Xff1Tvmtddew9dff41NmzahefPmCA4OxqZNmwptIQfyhqYlJSXh2WefhY+Pj7h91qxZaN26NXr16oUuXbqgZs2aGDhwoNlrffrpp/D29kbnzp3xyiuv4N1334VcLhf3y+VyHD58GD4+Phg8eDAaN26M0NBQZGZmwtnZGXK5HFeuXMGQIUPQoEEDjB07FhMmTMC4ceOK/HnJ5XLs3bsXjx49Qrt27fDCCy+ge/fuWL16dZGvYYqNjQ1++ukndO7cGd26dcO5c+ee+JpERPR0Yz1ecfW4nZ0d9u/fj+nTp2Pjxo0IDAxE48aNMWXKFCiVSoPl0YgqkkQoOLmDiIiIiIiIiEoFe7qJiIiIiIiIygiDbiIiIiIiIqIywqCbiIiIiIiIqIww6CYiIiIiIiIqIwy6iYiIiIiIiMoIg24iIiIiIiKiMsKgm4iIiIiIiKiMMOgmIiIiIiIiKiMMuomIiIiIiIjKCINuIiIiIiIiojLCoJuIiIiIiIiojDDoJiIiIiIiIiojDLqJiIiIiIiIygiDbiIiIiIiIqIywqCbiIiIiIiIqIww6CYiIiIiIiIqIwy6iYiIiIiIiMoIg26q1CQSSZF+/v7774ouapmqW7eu3v06Ojqiffv2+Oabb8rl/Tdt2gSJRIKbN2+K27p06YIuXboU+1oLFizAjh07Sq1sOjdv3oREIsGmTZsKPXb//v1o27YtHBwcIJFIyqQ8Bctl6icsLKzM3puIyBKwLs/DurxwlaUut7KygpubG5577jkcO3aszN6XKg/rii4A0ZMo+Ifso48+wsGDB3HgwAG97U2aNCnPYlUIpVKJpUuXAgDu3LmDpUuXYuTIkcjIyMCbb75Z7uVZs2ZNic5bsGABXnjhBQwcOLB0C1REgiDgpZdeQoMGDbBz5044ODigYcOGZf6+EydOxCuvvGKwvXbt2mX+3kREFYl1+WOsy0tHRdflGo0GFy9exNy5c9G1a1ccO3YMAQEBZf7+ZLkYdFOl1qFDB73X1atXh5WVlcH2glQqFeRyeVkWrdy5uLjo3fezzz6LOnXqYNmyZSYrao1Gg9zcXNja2pZ6eSrrw1FcXBwePXqEQYMGoXv37qVyzczMTNjZ2UEikZg8xsfHp9B/t0RETyPW5Y+xLi8dllCXK5VK+Pn5oXv37lizZg3WrVtXKuWgyonDy+mp16VLFzRr1gyHDx9Gp06dIJfLERoaCgAmh+/WrVsXo0aN0tt27949jBs3DrVr14ZMJoOvry/mzp2L3Nxcs+8/cOBA1KlTB1qt1mBf+/bt0bp1a/H1zz//jPbt20OhUEAul6NevXpiWYvLxcUFDRs2xK1btwA8Hvr0ySefYP78+fD19YWtrS0OHjwIADh16hT69++PatWqwc7ODgEBAfjpp58Mrnv8+HEolUrY2dnBy8sLM2bMQE5OjsFxxoakZWdnY968eWjcuDHs7Ozg5uaGrl274ujRowDyvo+MjAxs3rxZHKKV/xpF/Q7i4uLw0ksvwcnJCQqFAkOHDsW9e/cK/czCwsLEnuVp06ZBIpGgbt264v6IiAh0794dTk5OkMvl6NSpE3bv3q13Dd3wvD///BOhoaGoXr065HI5srOzC31/IiIyjnU56/LKWJfrAnDd90dVF3u6qUqIj4/Hq6++ivfffx8LFiyAlVXx2pvu3buHZ555BlZWVpg9ezbq16+PY8eOYf78+bh58yY2btxo8tzQ0FAMGDAABw4cwLPPPituv3LlCk6cOIGVK1cCyBteN3ToUAwdOhRhYWGws7PDrVu3DIbXFVVOTg5u3bqF6tWr621fuXIlGjRogKVLl8LZ2Rn+/v44ePAgevfujfbt2+PLL7+EQqHADz/8gKFDh0KlUokPLZcuXUL37t1Rt25dbNq0CXK5HGvWrMGWLVsKLU9ubi769OmD8PBwTJkyBd26dUNubi6OHz+O2NhYdOrUCceOHUO3bt3QtWtXzJo1CwDg7OwMoOjfQWZmJp599lnExcVh4cKFaNCgAXbv3o2hQ4cWWsbXXnsNLVu2xODBg8UhYrqeg0OHDqFHjx5o0aIF1q9fD1tbW6xZswbPP/88tm7danD90NBQ9O3bF99++y0yMjJgY2Nj9r21Wq3Rhz5ra/6ZJiICWJfnx7rctIqsywuKjo4GAIPvj6oggegpMnLkSMHBwUFvW3BwsABA2L9/v8HxAIQ5c+YYbK9Tp44wcuRI8fW4ceMER0dH4datW3rHLV26VAAgXLx40WSZcnJyhBo1agivvPKK3vb3339fkMlkQkJCgt61kpOTC7tNo+V97rnnhJycHCEnJ0eIiYkRRo4cKQAQ3nvvPUEQBCEmJkYAINSvX19Qq9V65zdq1EgICAgQcnJy9Lb369dP8PT0FDQajSAIgjB06FDB3t5euHfvnnhMbm6u0KhRIwGAEBMTI24PDg4WgoODxdfffPONAEBYt26d2XtxcHDQ++x1ivodfPHFFwIA4ddff9U77vXXXxcACBs3bjT7/rrPacmSJXrbO3ToIHh4eAhpaWnittzcXKFZs2ZC7dq1Ba1WKwiCIGzcuFEAIIwYMcLs+xR8P1M/4eHhRboOEdHTgnU56/LKWpcvXrxYyMnJEbKysoTTp08L7dq1EwAIu3fvLtJ16OnF4eVUJbi6uqJbt24lPn/Xrl3o2rUrvLy8kJubK/706dMHQF7LqSnW1tZ49dVX8csvvyAlJQVA3vyrb7/9FgMGDICbmxsAoF27dgCAl156CT/99BPu3r1brDLu2bMHNjY2sLGxga+vL3766SdMnDgR8+fP1zuuf//+ei210dHRuHLlCoYNGwYAevf33HPPIT4+HlevXgUAHDx4EN27d0eNGjXE86VSaZFann///XfY2dmVeIhdUb+DgwcPwsnJCf3799c731iSsqLKyMjAP//8gxdeeAGOjo7idqlUiuHDh+POnTviZ6QzZMiQYr3H5MmTcfLkSYOfVq1albjcRERPE9blj7EuL77yqMunTZsGGxsb2NnZoU2bNoiNjcVXX32F5557rsTlpqcDg26qEjw9PZ/o/Pv37+O3334TK0LdT9OmTQEACQkJZs8PDQ1FVlYWfvjhBwDA3r17ER8fj9GjR4vHdO7cGTt27EBubi5GjBiB2rVro1mzZti6dWuRyhgYGIiTJ0/i1KlTuHTpEpKTk7Fy5UrIZDK94wp+Fvfv3wcAvPvuuwb3N378eL37S0xMRM2aNQ3e29i2gh4+fAgvL69iDwfMX86ifAeJiYl6DxLFKaMpSUlJEATB6L8jLy8v8X3zK+6/udq1a6Nt27YGP/kfDIiIqjLW5Y+xLi++8qjLdQ3op0+fxvXr1xEfH4+xY8eWuMz09OBkQaoSTGWatLW1NZoUo+AfXXd3d7Ro0QIff/yx0evo/lib0qRJEzzzzDPYuHEjxo0bh40bN8LLyws9e/bUO27AgAEYMGAAsrOzcfz4cSxcuBCvvPIK6tati44dO5p9D4VCgbZt25o9BjD8LNzd3QEAM2bMwODBg42eo1tmw83NzWgSk6IkNqlevToiIiKg1WpLVFkX9Ttwc3PDiRMnSlRGU1xdXWFlZYX4+HiDfXFxcWL58jOX3ZSIiIqPdfljrMuLrzzqcl0DOlFBDLqpSqtbty7OnTunt+3AgQNIT0/X29avXz/s2bMH9evXh6ura4nea/To0XjzzTcRERGB3377DVOnToVUKjV6rK2tLYKDg+Hi4oK9e/ciMjKy0Iq6pBo2bAh/f3/8+++/WLBggdlju3btip07d+L+/ftiC7RGo8GPP/5Y6Pv06dMHW7duxaZNm8wOS7O1tUVmZqbB9qJ+B127dsVPP/2EnTt36g1LK0qCGFMcHBzQvn17/PLLL1i6dCns7e0B5CU/++6771C7dm00aNCgxNcnIqKSY13OurwoWJdTRWLQTVXa8OHDMWvWLMyePRvBwcG4dOkSVq9eDYVCoXfcvHnzsG/fPnTq1AmTJk1Cw4YNkZWVhZs3b2LPnj348ssvxeUpTAkJCcHUqVMREhKC7Oxsg2VMZs+ejTt37qB79+6oXbs2kpOT8dlnn8HGxgbBwcGlfet6vvrqK/Tp0we9evXCqFGjUKtWLTx69AiXL1/GmTNn8PPPPwMAPvzwQ+zcuRPdunXD7NmzIZfL8fnnnyMjI6PQ9wgJCcHGjRvxxhtv4OrVq+jatSu0Wi3++ecfNG7cGC+//DIAoHnz5vj777/x22+/wdPTE05OTmjYsGGRv4MRI0Zg+fLlGDFiBD7++GP4+/tjz5492Lt37xN9RgsXLkSPHj3QtWtXvPvuu5DJZFizZg0uXLiArVu3PnHPdmxsLI4fP26wvXr16qhfv/4TXZuI6GnGujwP6/LClXVdTmRSRWdyIypNpjKeNm3a1Ojx2dnZwvvvvy94e3sL9vb2QnBwsHD27FmDjKeCIAgPHz4UJk2aJPj6+go2NjZCtWrVhDZt2ggzZ84U0tPTi1S+V155RQAgKJVKg327du0S+vTpI9SqVUuQyWSCh4eH8NxzzxUpe3WdOnWEvn37mj3GVCZPnX///Vd46aWXBA8PD8HGxkaoWbOm0K1bN+HLL7/UO+7IkSNChw4dBFtbW6FmzZrCe++9J6xdu7bQjKeCIAiZmZnC7NmzBX9/f0Emkwlubm5Ct27dhKNHj4rHnD17VlAqlYJcLhcA6F2jqN/BnTt3hCFDhgiOjo6Ck5OTMGTIEOHo0aNPlPFUEAQhPDxc6Natm+Dg4CDY29sLHTp0EH777Te9Y3QZT0+ePGn2fQq+n6mfYcOGFek6RERPC9blprEut+y63NT3QiQRBEEozyCfiIiIiIiIqKpg9nIiIiIiIiKiMsKgm4iIiIiIiKiMMOgmIiIiIiIiKiMMuomIiIiIiIjKCINuIiIiIiIiojLCoJuIiIiIiIiojFhXdAHKmlarRVxcHJycnLjgPRERWQxBEJCWlgYvLy9YWbEN3BzW5UREZImKWpc/9UF3XFwcvL29K7oYRERERt2+fRu1a9eu6GJYNNblRERkyQqry5/6oNvJyQlA3gfh7OxcwaUhIiLKk5qaCm9vb7GeItNYlxMRkSUqal3+1AfdumFozs7OrKiJiMjicLh04ViXExGRJSusLuckMiIiIiIiIqIywqCbiIiIiIiIqIww6CYiIiIiIiIqIwy6iYiIiIiIiMoIg24iIiIiIiKiMsKgm4iIiIiIiKiMMOgmIiIiIiIiKiMMuomIiIiIiIjKCINuIiIiIiIiojLCoJuIiIiIiIiojDDoJiIiIiIiIiojDLqJiIiIiIiIyoh1RReAiIjIkqSo1EhIVyM1KwfO9jZwd5BBIZdVdLGIiIgsCuvLomPQTURE9J+45ExM23YO4VEJ4rbO/u5YNKQFvFzsK7BkREREloP1ZfFweDkRERHyWuwLPkAAwOGoBEzfdg4pKnUFlYyIiMhysL4sPgbdREREABLS1QYPEDqHoxKQkM6HCCIiItaXxcegm4iICEBqVo7Z/WmF7CciIqoKWF8WH+d0ExFRlZU/CYy9TGr2WCc7m3IqFRERkeVyLqQ+ZH1piD3dRERUJcUlZ2LC1kh0X3YIg9Ycxa5z8Qj0czN6bGd/d1RXJQPr1gFxceVbUCIiIgvi7ihDZ393o/s6+7vD3ZEZzAti0E1ERFWOsSQwGyJiMErpaxB4B/m7Y0GAE5x9vYGxY4GlS8u7uERERBZDIZdh0ZAWBoF3Z393LB7SgsuGGcHh5UREVOUYSwKjUmswaWskQgN9MbNvE8QlZwIALl+MQe02TR8f+Oyz5VlUIiIii+PlYo9VIQFISFcjLSsHTnY2cHfkOt2mMOgmIqIqR5cERi6TIjTQFwHeLsjO1cLORoozsUm4n5KFMZtPwT0jCd/+OEs874vXwvBKl2ehqKiCExERlYP8OU+c7W3g7mAYUCvkDLKLikE3ERFVOc52NpDLpFgZEoCNR2Kw+kC0uE/p54b+LbzgaA2MOfkrGj+8ifuO1fDqSx8hyq0Oeqar+ZBBRERPrbjkTIMpWJ393bFoSAt4udhXSJmK0ghgyRh0ExFRlePuKMOsfk2w8UgMjkQn6u07Ep2INZv/wsHvp2FK+5GQ52RiQ9sBuOXqBYBLoRAR0dPLWM4TIG/97enbzmFVSEC5B7uW2AhQXAy6iYioylHIZWjt44KPdl3ChG5+esPL7+/5C13mTkb11AR8mPE1nhu9Eva2Npjw3zD0HK2A6w/TK10rOxERUWGM5TzRORyVgIRyHu1liY0AJcGgm4iIqqSsHI3B8PIeUcex7pf5AICMOvUwqu9s2NvaGB2GXtla2YmIiAqTWshorvIe7WVpjQAlxSXDiIioykhRqXH9QToiY5PgbGejN7y8/6VDYsANAPHf/ID7Tu4IDfQ1Ogxd18qeolKX6z0QERGVFWc7G7P7nQrZX9osrRGgpNjTTUREVULBOWH/e6OjGEgP/XcvFv+xSjy2+2tf4IsGjbC/UWNk52r0erjzq0yt7ERERIVxd5Shs787DhvpXe7s7w53x/Kt7yytEaCk2NNNRERPPWNzwh6mZwMAWsVd1Qu4A8d9jetu3lCpc1HfwxHZuVqz164srexERESFUchlWDSkBTr7u+tt7+zvjsVDWpR7I7OuEcCYimgEKCn2dBMR0VMvWZWDUZ3qIuQZH3EtbntrKdrdvoCN/5srHtd+/Cbcd8qr3HWt509LKzsREVFReLnYY1VIABLS1UjLyoGTnQ3cHSsmeaiuEWD6tnN6ve8V1QhQUgy6iYjoqRaXnIkPd5xHeL452Uo/N/SzSkRnNyvY5qpxpE4LvDZ4NjJldgD0W88tbagdERFRWVPILWeFDktqBCgpDi8nIqKnljisvEASNJu9f6Ben64ISb6CT97+DKFD5ugF3Plbzy1tqB0REVFVo5DLUN/DEa18XFHfw7HS1b3s6SYioqeWsaVGFv2+Ei+f+xMAIMTFof4bH2BXfQ9kZOeabD1/GlrZiYiIqGIw6CYioqdWwaVGvtz+MXpfOwYAOO7dDKpl6xDs4wbPIqy1bUlD7YiIiKjyYNBNREQWLUWlRkK6GqlZOXC2t4G7Q9GD3/xJ0L7/4QMob50TX4946SPsrqEoUsBNREREVFIMuomIyGIVXFsbyJtLvWhIC3gVIVjWJUF758PhaHkvStxe/71foWxYAx5OtmVSbiIiIiIdJlIjIiKLZGxtbQA4HJWA6dvOIUWlLtJ1lsQf0gu4m83cBWXDGkyCRkREROWCPd1ERGSRjCVB0zkclYCEdLXZoDkuORO7pi7A2I3zAQDhdVph7YdfYNfA5nCV2zDgJiIionJR4T3dd+/exauvvgo3NzfI5XK0atUKp0+fFvcLgoCwsDB4eXnB3t4eXbp0wcWLFyuwxEREVB4KJkErKM3M/pSMbBx44wPs1LrjmpsPPusUguFDP0J4dCJm/3qhtItKREREZFKF9nQnJSVBqVSia9eu+P333+Hh4YHr16/DxcVFPOaTTz7BsmXLsGnTJjRo0ADz589Hjx49cPXqVTg5OVVc4YmIqEzlT4JmjJOp/YIA7YwP8OqPKxDkUhNDXl2CBAdXcXdResmJiIiISkuF9nQvXrwY3t7e2LhxI5555hnUrVsX3bt3R/369QHk9XKvWLECM2fOxODBg9GsWTNs3rwZKpUKW7ZsMXrN7OxspKam6v0QEVHlo0uCZkxnf3e4OxoJmrVawMoKrquWAQC+ad1PL+DWMddLXtWtWbMGvr6+sLOzQ5s2bRAeHm7y2IiICCiVSri5ucHe3h6NGjXC8uXLDY5LTk7GW2+9BU9PT9jZ2aFx48bYs2dPWd4GERGRxajQoHvnzp1o27YtXnzxRXh4eCAgIADr1q0T98fExODevXvo2bOnuM3W1hbBwcE4evSo0WsuXLgQCoVC/PH29i7z+yAiotKnkMuwaEgLg8C7s7+78SRoubmAVCq+/LrtAKxvN9DotU32kldxP/74I6ZMmYKZM2ciMjISQUFB6NOnD2JjY40e7+DggAkTJuDw4cO4fPkyPvzwQ3z44YdYu3ateIxarUaPHj1w8+ZN/O9//8PVq1exbt061KpVq7xui4iIqEJJBEEQKurN7ezsAABTp07Fiy++iBMnTmDKlCn46quvMGLECBw9ehRKpRJ3796Fl5eXeN7YsWNx69Yt7N271+Ca2dnZyM7OFl+npqbC29sbKSkpcHZ2LvubIiKiUqVbpzstKwdOdjZwdzSyTrdaDdg+Xv4rVxmI0NFLcdhIIrbO/u5YFRJQ4cPLU1NToVAoLKp+at++PVq3bo0vvvhC3Na4cWMMHDgQCxcuLNI1Bg8eDAcHB3z77bcAgC+//BJLlizBlStXYGNTtMYO1uVERFQZFLUur9Cebq1Wi9atW2PBggUICAjAuHHj8Prrr+tV9gAgkUj0XguCYLBNx9bWFs7Ozno/RERk+VJUalx/kI7I2CRcf5guLgmmkMtQ38MRrXxc4e4oQ0K6Wv+YnBy9gBv9+sE6Irx4veQEtVqN06dP640uA4CePXuaHF1WUGRkJI4ePYrg4GBx286dO9GxY0e89dZbqFGjBpo1a4YFCxZAo9GYvA5HrRERkY6x5wNTzwyWqkITqXl6eqJJkyZ62xo3boxt27YBAGrWrAkAuHfvHjw9PcVjHjx4gBo1apRfQYmIqEzFJWdi2v/OITw6r2daLpNiVr8maO3jApVaA4W9DWRSK8zYfl5vGbGuvgqs2bUE9roNr7wCfP89AMDLxR6rQgIK7yUnAEBCQgI0Go1B/VqjRg3cu3fP7Lm1a9fGw4cPkZubi7CwMLz22mvivhs3buDAgQMYNmwY9uzZg6ioKLz11lvIzc3F7NmzjV5vxowZmDp1qvha19NNRESWSTcqLTUrB872NnB3KJ36Ni45E9O2ndOr+4P83fFWVz+EbjoJlTqvAbezvzsWDWkBLxd7U5eqUBUadCuVSly9elVv27Vr11CnTh0AgK+vL2rWrIl9+/YhICAAQF5L/KFDh7B48eJyLy8REZW+FJXaIOBeGRKAjUdiMOOX8wCACd38EBmbhCPRieJ5EkELp92/wn7XTggyGSQ//QQMGKB3bYWcQXZxFWd0mU54eDjS09Nx/PhxTJ8+HX5+fggJCQGQN6rNw8MDa9euhVQqRZs2bRAXF4clS5aYDLptbW1hm3/0AhERWSxjgXFpBMEpKrXBdQEgPCoBWkFAaKAvVh+IBpC3Msn0becsYvqYMRU6vPztt9/G8ePHsWDBAkRHR2PLli1Yu3Yt3nrrLQB5Ff+UKVOwYMECbN++HRcuXMCoUaMgl8vxyiuvVGTRiYiolDxIyxYDbgAIDfTFxiMxOBKdCLlMignd/NCraQ0Ma18HG0a1w4RufnBDDjb/NAe2uWp81ikE8d8aBtxUPO7u7pBKpQa92kUZXebr64vmzZvj9ddfx9tvv42wsDBxn6enJxo0aABpviR3jRs3xr1796BWW/ZwQCIiMs9UYKwLgp9k2HdCutrgujpHohMR4O1i8J4J6ZZZr1RoT3e7du2wfft2zJgxA/PmzYOvry9WrFiBYcOGice8//77yMzMxPjx45GUlIT27dvjzz//5BrdRERPieRM/eW7ArxdsPpAtF6Pt64lGwD6umtxcNccON88h1ZxV9H5ja8R3KEzvApemIpFJpOhTZs22LdvHwYNGiRu37dvHwYUo0FDEAS9JGhKpRJbtmyBVquFlVVeW/+1a9fg6ekJmczyeiOIiKjoTAXGcpkULbxdEJ+ShRsJGSUacp5ayPKe2blag22WuiRohQbdANCvXz/069fP5H6JRIKwsDC9VnMiInp6OMikeq91lWj+Hm+d2in38fniMQCAXBsbjHppLpLtnbkEWCmZOnUqhg8fjrZt26Jjx45Yu3YtYmNj8cYbbwDIm2t99+5dfPPNNwCAzz//HD4+PmjUqBGAvHW7ly5diokTJ4rXfPPNN7Fq1SpMnjwZEydORFRUFBYsWIBJkyaV/w0SEVGpMhYYm2o0L86Q8xSVGvY2UrPH2FobDtq21OeBCg+6iYioanOQWUPp5yYG17pKVNfjreP76C4Orhsnvr760TKcSfJFZ393uDuyx7Q0DB06FImJiZg3bx7i4+PRrFkz7NmzR8y1Eh8fr7dmt1arxYwZMxATEwNra2vUr18fixYtwrhxj78nb29v/Pnnn3j77bfRokUL1KpVC5MnT8a0adPK/f6IiKh0ORsJco01mgNFn3etmyPe0ttF7/kgP6WfGyJvJ+tts+TngQpdp7s8WOI6qERE9DjTaUqmGrY2Uvx7Oxnzd19GaKAvLsWlYFQnX4zYcAIA0PDhTezdMEE8d0q/d9BzwTvYeiIWnwxpAU8LzVZqDuunouNnRURkmVJUakzcGonD+YaYrx/ZFmM2nzJ5zv6pwajv4WjyehO2RiI8KkGvxzx/4G0qe/niCngeKGr9xJ5uIiIqd0aXAPFzw47xStxNzsSQ1rUQl5wFAPBIS9QLuM99th49u/aBr7tDhVSwRERElEchl2HRkBaYvu2cGHgbm2udn7l51/nniKvUGkzaGonQQF+MCawHa6kE1R1tYSUB1Lla/DC2A+JTsmBtJcGDtGyT17QEDLqJiKhcmVwCJDoRH+2+hI8GNMWsHRfQ0scV/V1zMPWr6eIxiycvwxdxNYDvzwCw/HU5iYiInnZeLvZYFRKAhHQ10rJyYFfIXGxz864LzhFXqTXYEBGDViEu+OrQDb0eb6WfG0YrfTFxayRUag06+7tb7JJhDLqJiKhc5W/FlsukCA30RYC3C7JztbCzkUIrAKdjkxF/7ioWdnRHdXU6kj29MWfSZ/g1Wb8itfR1OYmIiKoChfxxZvIUlRqd/d31hpzrFDbvuppchvUj24rPBGdik2AjlRidI657rVuvW7dkmCU+DzDoJiKicqVrxTaV3TTIzx1ft3dE/ZBXEbW7Dn6d/xUCAlvg1203jV7PkitZIiKiqsbYkHPg8bxrU/V1XHImPtxxAeHRj89R+rlhTr+m+OrQDaPnHIlORKjSV3zNJcOIiIjwONOpqeymLju3odNvSwAAybYOmBQjYP6z1QDcNHlNS61kiYiIqqKCQ86d7Gzg7mh6nW5x6lm0fu/4kehEfLTrotibbUz+OeRcMoyIiAiAu6MMnf3dxSXB8g8xr/7Td2jxX8ANAC+HLESSXGF0Lc78LLWSJSIiqqryDzkvTP6pZwWFRydiVL7e7IJ0zwiWvGSY+acYIiKqslJUalx/kI7I2CRcf5iOFJW6VK4DAIuGtADweIh5ZGwSwifORouwd8XzYo7/i2yXagCAyNvJCPRzM3p9S65kiYiIqHApmSV7xtCt113Y0PWKxp5uIiIyYGxJr5JkCjd1ncVDWsCnmlwcYt7y2y/w/uFvxGM6vLkJ/hcy8cPYDriTlAm5jRTPNauJRb9fKdb8MCIiIrJ8cpn5sLSWq71BcrYgf3fM7d8UAPB6oK9FPwsw6CYiIj2mlvQylSk8RaVGQroaqVk5cLa3gbtD3nAyc9eZtu0clrzYEp3queHMhv/pBdxtJnyHRAcX3ItKwKhOdTH++zPo7O+OT4a0KNb8MCIiIqocrKwkUPq5GeR5AfJ6s22sJFjyYkskZaiRmpULZ3truMplqOFsVwGlLT4G3UREpMfcvKqCmcLN9Yir1Llmr5ORnQvX82ew8X9zAQD3HKuhV+jnSLF3Eo9zsrPB/qnBesE1g2wiIiLLcD81q1QCYWsrCUb/N2+74FrcrwfVg42VFd796SzC8+0ryQi8isKgm4iI9KSayQQul0mhFQRcf5AOjSDgo98u6lWAwOOe7Pd6NTT/Rr/+CufqbvjHuxmyrWV4a8B0qK31E6K5OchQ38OxxPdCREREZSM2MQMztp/XC5ID/dywYFBz+Lg5FOtabg4yLNxzGQE+rghV+iI7Vwtbayucv5uCmgo7zNhx3qAX3NQIPEvERGpERKTH2UQmcF3Ss3m/XUT3ZYdw+5HKIODWCY9KgERi+j36XT4M3zdGwnPEy/hj5FS8OXCGQcDNBGlERESW6X5qlkHADQAR0Yn4YPt53E/NKtb1FHIZ5g5ohnO3kzFm8ymM//4Mxmw+hVou9niUrjY67Bx4PALP0rGnm4iI9OiW9DpcYGh4wXW186+LaUySKsfo/Kzvf/gAylvnAAA767RF9yFdceuf23rHMUEaERGR5UrKMB0IR0QnIilDXeRh5rrcMOnZOfhoYDOoc7XIyM6Fs70NcjRaXH+YYfb8NDMj9CwFg24iItKjkMuwaEgLTN92Ti/w7lTPTW9dbe9q9lgzrDXsbKQ4E5uEDRExUKk14vFarYBpvRvh4t1UeDjbIjtXi8CQPnD+L+BOlCswpc9k2P98HqGBvgj9by6XTzU5PJxsGXATERFVAFMJUvNLzco1e43C9uuYyw3jIJPiyr00cR1uU5xMjNCzJAy6iYjIgJeLvUGm8JRMtTjEfOORGKw+EC0er/Rzw8qQAEzaGgmVWgOlnxuqO9pCIgH2nI9DeHQiDq59Hc5J8eI5wW9/DyEXUKk1etfaPzWYATcREVEFKOqSoc525sPIwvYDpldLOXUrCYeuPUSAjwsAwMPJDkF+bkantAVVkqlonNNNRERGKeR5Scxa+biivocjFPYygyHmOkeiE7HxSAxCA33R2d8dM/s2gdQK+HjPZYRHJ2LHN2/DN1/APWztUYzq7Gf0fSvDMDEiIqKnTWFLhqaoHs+ddnWQIdDPzeh1Av3c4OpQeCBsbLUUXeP+rnNxGLzmKMKjE/AwPRsTuvlj6+vtMaGbH+Qyqfg+Cwc1rxQN9ezpJiKiInF3lIlDzI05Ep2IWX2b4PVAXyRlqHE3JQtHohIw6egPaBUfJR5X9/3fgOuPEBpYz+h1KsMwMSIioqdNcZYMreFshwWDmuOD7ecRYSR7ef753CkqNRIz1MjVCtAKAlTZuVDIZdAIAuQyqd7UNF3jfmRsstGRdUH+7tg+vhMeZajhpbBH7Wry0v4YygSDbiIiKhKFXAZZIfOqVGoNFHIZ7iZnIkWlRuOHMZgSsQUAsCxwGFYqQ8RjjSViY8ZyIiKiimFuyVDAcCSaj5sDPn2p1eN1uu2s4eqgv053XHImZv96AS8/42MwUi7I311vahoABHi7YPWBaEzo5md0ZF14VALm77qMUcq6yNGaT+hqSRh0ExFRkaSo1HAsZI6WrbUV7iapkJ2Ti2ZLwzDg2iO8/9xkKLLSsb7dQL1jFfaGS4QxYzkREVHFMLVkqI6xkWg1nO1MZinXDVdv6e1iMoAWBAGhgb5ib3auVsCEbn7o1bSGyZF14dEJeLNLfdjbSItyWxaBc7qJiKhQccmZeOfnf3E3KRNBfu5Gj1H6ueH3i/cw46czaDDpdfh8uw5v/LMN19x9DALuIH931HGTY//UYOwY3wn7pwZjVUgAPPMlaSEiIqLyo1sy1JiSjETTDVcP8HYxu7xYp3p5c8PlMinquTvAS2GHjCyN0eN1rKwkCNt5UW+euSVjTzcREZmVolKLQ8O+/+cWRirrQgtBrwJV+rlhtNIX73x3Av8u6C9uj1/2OZydWgMF5nvNH9gMtV0rxzwsIiKiqsDUkqElHYmmG65ubDpZfnY2UuyfGgwBAhLSsrH7fLy4jKgpKrUG+y4/0JtnbskYdBMRkVkJ6Wo08nQWE5u0qO2Ct59tgIldBTjYSiG1kuBBajbe3nwM/y4aKJ6XPugFzHRti1ZeCoxW+iI7VwtbaytE3k7G/F2XsPTFlpWioiQiIqoqjC0Z6u5ouE53UeiGqxe2zrbC3gb1PRxxKyEDqw5G40h0IgJ8XKH0czPaQ670c4MgCFg/si0SM9TAw3Sja4lbEgbdREQEIK9HOyFdnbcet601rCQSWFtJoBEEtPZxxYaIGDGT6Iq/HmcjV/q5IaxrHUTmC7h3NAmG/+qvcWBlBA5ceWj0/SpL6zQREVFVopA/eQCbolLD2kqCIH93RN5ONhlA5x+2nqHOFY/RPXMAMBhZN+f5plj0+2W954v8a4nrnmdSs3LgbG9jEQE5g24iIkJccqbB2py6IeM/nIjFa4H1TK7RfepKPOq8GSy+/q5VH3zY6y38mJVr9j25HjcREdHTR/dMcfpWElaGBGDLP7cw+r/h4vmfIQoOW8/It3SYSq3BpK2RCA30Reh/o+XqVJPjXmqWQcAN5C1pNufXC5jzfFPM2H5e73kmf0BeURh0ExFVImXReqvLLlpwbc4j0YmwggSjlHUhQBCX8cjPXp2Ftb/Mhyw3L5HJV88MxsKuoVD6uUFqJTH7vlyPm4iI6OlS8JlCFzhbSySY1rsRZFKrvOVF7Q2HrbsUWNVEpdboPXf8742OAGByBF1DT2fM+OUcwgt0DhyOSsD0beewKiSgwnq8GXQTEVUSxnqjS6P1Vpdd1BjdshzujraIfaTS2+eQrYJPyj14p9xHho0dzn/1PRZetRV7yCOiE0wOJwvietxERESVXsHOAK1W0HumKBg4758ajNZ1nI1ey8PJFkH+7kafSYL83VHdyRZawXRZjHUO6ByOSqjQaW0MuomIKgFTvdGl0XqbWsgw7+TMHKyPuIH3ejcStzlnpWPTz3PgmJ2JCQOmwUaTi496dsf6DlmIvJ2MSVsjAQArQwJgBei1Oiv93PDRgGYVPr+KiIiISs5YZ8D6kW3NnmNuaplCLsNiI9nTg/zdEda/KTRaATWcbCGXSaFSGy4pVliW9Iqc1sagm4ioEjDXG/2krbfOhQzztrW2wv4rDzHzuSYI8nfHnX/+xcF14wAAyXaO0Eqs4BisBARgzOZTeudO2hqJH8Z2wKi0bDF7+YO0bLjKObSciIiosjLVGVCYwqaWebnYY8mLLZGkUiM9KxfqXC2O3kjE86sioFJrEOTvjh3jlYhPycLJW4+wISJGDMALDk8v7nuXJQbdRESVQGG90U/SeuvuKDM5nEvp54bI28kAgKiH6ZhQPRPt/wu4AeDlkIVw69QW47v6Q2YjMWh9bu3jgj8v3ReHe5V0rU8iIiKyHKY6A4qaqdwUXe95S28XRMYmGVwnPCoBc3ddRICPKyJj8xK1TdoaibZ1XFHHTY7O/u56veTFee+yxKCbiKgSKKw32ljrbVGTrinkMoT1b4qwXy8iPNowe7luqLjrxbN4Zmgfcf/pZV/jvd79EHk7GWM2n0QbH1eEBvrqBdgLBjWHWqPFs408nmitTyIiIrIcpjoDdEt9WUkkBjloCmt0z997PqpTXZPzs49EJ2Ja70Zo7eOK+6lZ+GNSEBRyGyjkMiwyMjzdEhr8ixx0f/PNN0U6bsSIESUuDBERGefuKCtW621xkq6lqNTI1WgxSlkXb3Spj5TMHNhaW4lzs1VqDcYId/DM0DfEc0a9EIa/79cE8g0nD49OwMy+jRlglxPWy0REVFFMdQbolvr6fVIQcrUC0rJyjD4T6DoG0rNz4CKXQZ2rRY5GKz63FDY/OyM7b1SdIAgQAPHaXi72WBUSgIR0tcn3rghFDronT55scp9EIkFGRgZyc3NZuRMRlYHitN4WJ+la/mFcl+JS8Er7Ovj+n1t6w7kGO2fiw1njxdcvhyzAcZ8WRsuZlaNBKx/XUrlnMo/1MhERVRRznQFt67jC5b+eZ2MKruP9yd6rOBKdiDXDWovH2FpbmX1/lToXYzafgtLPDfWqO0IiART2ee+p+7EkRQ66k5KSjG6Pj4/H3LlzsWHDBvTo0aPUCkZERPqK2npb1KRr+YNzXcW35Z9bCPBxRajSF9m5WlRPf4RWg3pAotUiW2qNc9/9iuNnTa/XwbW3yw/rZSIiqgi6XupJ3f3xZpf6OHHzEQQBaF5LAQDwdpWbPVf37DGhmx82HokRG/rzB9rm5obnzzej2z+tdyN8uOPCEy+jWlZKPKc7LS0NixcvxmeffYamTZti79696Nq1a2mWjYiICihK621Rk67pgnO5TIrQQF9YSSQY1ckX1RxkkEgA+dVLkN+8gYimnVAr9ySGvfwxhlarD6WfYWIToOKTlFR1rJeJiKisFZy+JpdJsWFUO3x+IAor/ooSjwvyd8fCQc1Ru5p+AJ6/Y6Dgutr5A23d3HAAes8cBfPN5N9fGsuolpViB91qtRqrV6/GggUL4O7ujo0bN+KFF14oi7IREVEJFDXpmkYQsGlUO3i62GH+rkt6Fd8wmwTM+/xtCCmp8Nz4A87VmoNFXh5Qa7To3bQmzt9Jxke7L4uZyi0hSUlVxXqZiIjKQ/5eal2Dfc8mNbDkjysIN5JlfPov57B4SAvUytfznb9joOC87YKB9qStkQgN9MX4Ln6wkUqQlpWrl28mv6wcLTaMaoczsUlIzCj5MqplpchBtyAI+OabbzB79mzk5uZiwYIFGDNmDKRSaVmWj4iIisncPKsgf3dYSyW480iFj367iJY+roiM0O+5HnVqJ8L2rwUApDZvhYRGLfDruUcI33dK7zp7JgUhNVMNB1vLSFJS1bBeJiKi8pR/hNzKkABsPBKDAG8Xg4BbJyI6EbGPVHC0tRafEfJ3DBSct61LwhYa6ItQpS8cbK2RkZ2LYzcS8XwLT7z01XGTZbOSAKGbTkLp54ZBAbVK4W5Ll/kZ6vm0bNkS48ePR0hICE6fPo2XX34ZGRkZSE1N1fshIqKKpUu61tnfXW+70s8NIzvVxY6zdzHtl3MIj05EgLeLXsA9/thPYsANAHE/78RX5x4ZbcGe/esF1HFzQH0PRwbcFYD1MhERlSddL3VooK84F7uwLOMSiQSJGWrxta5jAHg8nDw/lVqD1QeiseFIDCKiEzBm8ymsPhANK4kEQQWea3SC/NwR8d+Sp0eiExG28yJSVGqjx1aUIgfdFy5cQGZmJj755BPUqlULrq6uej8uLi5wdWXGWiIiS6BLurbv7c5YP7It1o9siwAfV0zaGolmXgox0M5fWb57+Bu8f/jxMlRtJ3wLtYOTyRZsXVI2qhisl4mI6EmlqNS4/iAdkbFJuP4w3Wywquulzt9gX1iWcY1WgEb7OAFr/o6BDRExGK30NQi8dfO2N0TEiNukVhIsHNQcQQWODfJzw+jAulh7+Ia4LdwCn0+KPLz84MGDZVkOIiIqZQq5DAnpaozJt5Y2oB9o6yrL1//5BROO/SRubzlpK1LsnaDK1p8zVVBaIUnbqOywXiYioidRMCkakJejxVQGcF0vdf7niMKyjB+7kYh+zT31tudfjSUjOwcLBjZHdq4Wd5JVEAQYzNvu7O8ONwcZEjPUaOnjilFKX8hl1lCp8+Z4T9hiOMfb0p5Pihx0BwcHl2U5iIioDBjLZF5wSY5JaRcw8fBmcVvTKT8hw1YOpZ8brKUSs9fnEmEVh/UyERGVVP6kaPmZywCu66W+mZAhbitKlvFuDT0M3t/YaiyOdtaYvu2cXk6a/IlabyRkiElf149sa9CpkJ+lPZ+UeMkwIiKyfMYymedvlf75r/OI+G4hbLQa7G6oxDt930aWjZ1YWUZEJ5hsweYSYURERJVT/qW7CtJNHzOWr8XLxR5Sq7z51eFRCQbJzwBAYW+Dv689FHurFfZFC4Dz94CnZeXAyU4/UWv+ZxpzPewFn09064qnZuXA2d4G7g7ln/y1yEG3lZUVJBLzPR4SiQS5ublPXCgiIiodBTOZy2VS2EglmNOvKQ7MXArvI/vxxvPTMOlRJFyWrcQmmQ1Uag3OxCaJa2CuH9kWVhKJwfAzLhFWsVgvExFRSRkbCZefueHZNZztsHhIC7GnXJf8TNdgP2LDCb2h4cVpoDfWA67j7ijDwsHN4eFki1ytgP4tvfDRbxf1cs8UfD4p7hD6slLkoHv79u0m9x09ehSrVq2CIAgmjyEioooxb0AzzPr1Ak7fShKX+MhZuBjvHNgIiSDAO2QQEoauhrujDCv+uoYDVx6K5yr93CC1kmDpiy2RnpVrtOWZKgbrZSIiKiljI+HyK2x4tpeLPZa+2BLXH6QjJSsHtV3tcf5OisFc7NJsoM9Qa7DnXDzCox93JHzYtzGm92mMrFwNnO1sIJNa4UFaFlQ5GjjaWhd7CH1ZKXLQPWDAAINtV65cwYwZM/Dbb79h2LBh+Oijj0q1cEREVHK61t3Tt5IQGuiL93o1xJI/rmD++4PhmxQPANjUuh/mqhpA2HQScpkUoYG+GNa+DrJztajtao+LcanwcZWjhrMdajhX8A2RHtbLRERUUgVHwuVX1N7pGs520GgFTN92Dqf+e9ZY9d/87tqu9qjpbAcAuP4gvchDu00NBRfnoEc/Lq9KrcEH2y+gR2MPzHm+KWZsP68XYG95rX2JhtCXhRLN6Y6Li8OcOXOwefNm9OrVC2fPnkWzZs1Ku2xERFRCBROkrD4QjQBvF6yY1AtumY/Xbg57dhzw3xBl3fAwnT8mB+G5ZjXZo10JsF4mIqLi0CVFM5e4rCjMzcMu7tBuc8dnqjUmA+iGns6Y8cs5gyVOkzNLPoS+tBUr6E5JScGCBQuwatUqtGrVCvv370dQUFBZlY2IiErIIEGKIKBr81qw0jxeUmPpH5ehvJ1sMgmJp8KOAbeFY71MREQlVVjisqIyNg+7uNnRCzt+yrP+4oi8AG8XZOdqYWcjxZnYJLT1cdXrNNApbA3x8sxwXuSg+5NPPsHixYtRs2ZNbN261eiwNiIisgx6CVIEASt/WyIG3OkyezR7+2fIj9w0uswHk6RVDqyXiYjoSZlLXPYkipsdvbDjZ/ZtLOalyR9gK/3c8HwLT8hlUoO1uouT4bysSYQiZlmxsrKCvb09nn32WUilUpPH/fLLL6VWuNKQmpoKhUKBlJQUODtzQiIRVQ3XH6Sj+7JDgCBg9v51CD29EwDw0K0m2r32tXicrtW4Uz032NlIobBnkrTy8qT1U2Wtl0uCdTkRUeUSGZuEQWuOmty/Y3wntPJxLfLxf78bjJk7LhgNoIP83NHSx8Wgt1suk2JlSAA2H7mpNxdc17ngWQrZy4taPxW5p3vEiBGFLk1CRESWwd1RhuD61RB78jya3r8OAJjb5y0oP52FwCMxiPiv0lKpNTh3OxnDnvEplcqHyg/rZSIiKg8lWee6uNnRFfY2mNDNz2Do+IaIGKjUGmTlao0G3AAQHp2At7rWBwCD87edvo1RyroYpayL7FwtbK2t4FfdsdyfeYocdG/atKlYF75z5w68vLxgZWV+LD0REZU+ha0UX/y9Brm/7cbrL85BiLc1Aoe+AIkEmN2vKWytrZCSqYaDLXu2KyvWy0REVNaMJTcL8ndHWP+mkABwMxGAFzU7eopKjcQMNQQB+Dc2yWDo+MqQAPx4Ihaq7FyTZZTLpKjuZIfIAucH+rlhVr+mGPb1cSSkq8XtO8Z3Qh04FOtzeFJFHl5eXM7Ozjh79izq1atXFpcvMg5JI6IqJzMTcHEB1GoIUikerN2Ed7V+elk9zWUPpfJR3vWTpdTLJcG6nIio/KWo1JiwNdLoXGulnxsCfFxx7nay2WzkprKje7rYIy45E7N/vYCQZ3yw6UiMQfZxAAjyc8O8Ac2QkKFGWlauXu83kBdwrwoJMHv+e70b4U5Sptj7PTigFupVd3ySj0ZU6sPLi6uMYnkiIjInPR1wchJf3vtqExJ69cNb2RpM6dEQ4VEPsfbwDZy6lYRD1x6ibR1XpGfnFnm4GFVerJeJiKg4zCU3OxKdiFClL1YfiDaajRx4nB39QVo2UjJzIJdJ4WBrDblMihSVGrN/vYCXn/GBnY3UaMAMAOHRibiRkIExm08BeNz7PWlrJABgZUhAoeePSsvG+O/PAMjr/X65rXeJPo8nUWZBNxERFc7cPKnC5lAZ7M9RQVGrhrj/XshIvCv44ciqI+K2ID93fDGsNTSCgPURMZjxy3lxH3u/iYiISCe1kHWss3O1AIxnI9fJUGswb9clg7W35w1ohma1FNh4JAbD2tcp0vsAj1dbCQ30BYBinx8RnYgZ289jVr8mkFpJyq3DgUE3EVEFMTZPShf4SgC8b2TfgkHNodZo8ShDjRyNFkeuJ2JDRAxskx8hctUw8djLw8ZifpfRBklHwqMT8Fzzmth9Pt5gn6m1M4mIiKhqSVGpYW9jemUMQH8d7DQjAbq5tbdn/XoBk7v7Y8VfUQhV+pp9H7sC5TgSnYhpvRtBKpFg9YHoQs8vuF53eFQCbj9SYczmU+XW4cBsKkREFcBcRTRt2zn8ffWB0X3TfzmHXyLv4oUvjyFk3T+IjE3C5/398d3Pc8TjEt/7AHEz55nM8unhbCdmLy9I11pNREREVVNcciYmbI3ErvPxUPq5GT1G6eeGyNvJ4uuC2cgB88PTw6MSkKvJm/akW0/bmEA/N6PTo+4kZeLWI1Wh5xcsp07+Xvrp284hRVW2zz5lFnRzGRMiItMKq4g8nO2M7ouITkSvpjUxoZsf5DIpjl97gFovD0TTe3nZOuc8Ow43xr+jN5SqIHP7AOOt1VT5sV4mIqLC5O8U2BARg9FKX4OAVunnhtFKX2yIiAGgn408v8KGpzvY5fVgm3qfID93jFL6Qmqk/rK1thJ7sM2dn7+cBc/XKY8OByZSIyKqAEWdJ2XM7Ucq/Hs7GT+92ADbZ6/G975KfJhwF4MHzMZ5T38MlUmRam26TbXgMKuCjLVWU+XHepmIiAqTv1NApdZg0tZIhAb6YkxgPchlUmi1Ao7eSMSkrZFQqTViNnJj09IKW6vbUWaNQD83REQniu8TqvRFdq4WLvY28HC2w+7zcWhUUz8reP7ea6WfG46YON/KCgjddErMdA4AQ//diw8jvsFhfAigsbi9rDscit3TvWnTJqhUqkKPu3TpEurUMT+pnYioqklRqXH9QXqhga+5/bbWVrh8NgrOfXpi1o7lsLG2wt87D+O8pz8AwEFmjQdp2SaHWj1Iy0aQv7vRfaZaq8lysV4mIqLSkKJSIztXgzXDWmPDqHaY0M0PAPLmTW86idBNJ1HdyRaDWtXCltfaY//UYKwKCYCnifnQurW6jens745qDjIsGtwCQf7uUKk1WH0gGmM2n8L3/9yCKkeD/qsjcCLmEXzdHCCX5fWK5+9l1/VwFzx/yz+3kJWrQaZaiwAfl7w3FAT8/N37WPzHKjilp8Dhl5/1ylPWHQ7F7umeMWMGJk2ahBdffBFjxoxBp06djB7n7V3+qdiJiCxZ/sRpE7r5ia2zBQX5ueF+apbRawT5uSFufzhOrR4OAMjxqIlag/vCqnp1ALfQ2d8dLnIbdGlQHb7uDgCg9x5B/u7o2qA6ghtUN7l2JpOoVS6sl4mI6EkZS+6af3kulVoDlVoDK4kE9T0M17g2teLKoiEtzD5vKOQyLH2xJeJTspCYng0gb4627j2PRCfio92X8MPYDniYlq23DwB+PBGLpS+2RHpWLtKycuBkZwM7GyuE7byII9cTERroi7FNFWg+ayqq3b0klmF219f1ylPWHQ4SoZjjzTQaDXbv3o1NmzZh9+7d8PX1xejRozFy5EjUrFmzrMpZYkVdsJyIqCylqNSYsDVSrMzkMilWhgRg45EY/aDYzx2jA+tCAgm+jriht0/p54aFHqnwGdBL3Hb2r3+QUacejt1IxLnbyVg8pIXY4pyiUiNZlYMMdS5Uag0U9jbwcLI1WJJMV0m5O3Kd7vJUWvVTadfLa9aswZIlSxAfH4+mTZtixYoVCAoKMnpsREQEpk2bhitXrkClUqFOnToYN24c3n77baPH//DDDwgJCcGAAQOwY8eOIpeJdTkRUdkp+IySn9LPDQE+rlh9IBqd/d2NrnBibjUWLxf7Ij1vXL2Xil4rwk2W8beJSiz6/Yrec5EueDfW0657z9wTJ1B/3AhYx92FIJPhz6CBeKPNqxAkVoVeoyiKWj8VO+jO78GDB/juu++wadMmXLlyBb1798aYMWPw/PPPw8rKMhKjs6ImIktw/UE6ui87pLfN3VGGpS+0RO1q9sjO1UKVrYGTnTXO30nG4r1X8fIzPgjwdkF2rha21law2vcXuk5+VTz/5ZAF+OCTN5Gdq4WzvTVc7GWoYSIBG1mesqifnrRe/vHHHzF8+HCsWbMGSqUSX331Fb7++mtcunQJPj4+BsdHRkbiypUraNGiBRwcHBAREYFx48Zh+fLlGDt2rN6xt27dglKpRL169VCtWjUG3UREFsLYM0p+60e2xeajN40Gp8YCdrlMitBAX3Sq5wY7Gyso5LJC18OOjE3CoDVHTe7/YWwHHL+RiOa1FHCys4Gbg8xkZ0GKSo2ElEzYf/oJPFcugeDsDKtq1YAff0RKw6al2uFQ1PrpiRKpeXh4QKlU4urVq7h27RrOnz+PUaNGwcXFBRs3bkSXLl2e5PJERE+NgonT5DIplrzQErY2Vpiz86JBb/eqkACM2fw4+cdw6X18tGCMeMzLo5dB2qkjACAtKxcvfnnMYK1JU0O96On1pPXysmXLMGbMGLz22msAgBUrVmDv3r344osvsHDhQoPjAwICEBAQIL6uW7cufvnlF4SHh+sF3RqNBsOGDcPcuXMRHh6O5ORks+XIzs5Gdna2+Do1NbUId09ERCVRWHJXhb2NQQ+37hkjO1djEHDrRvKtPhAtbi9sPezCkq5ptAJytQLGbD6F/VODDYa468qTpFJD9m8karw7CTWi84aTH2qiRMPv18HT2wMKoEKehUrUHX3//n0sXboUTZs2RZcuXZCamopdu3YhJiYGcXFxGDx4MEaOHFnaZSUiqrQKViahgb6IT8nE6oPRBvO6w6MTsObgdfzvjY5YM6w1fujkgOlfTBP3fzBrM/qPG4wJXf1xJT4VZ2KTAOivNalbY7P7skMYtOYoun96CBO3RiIuObPsb5bKXWnUy2q1GqdPn0bPnj31tvfs2RNHj5rufcgvMjISR48eRXBwsN72efPmoXr16hgzZoyJM/UtXLgQCoVC/OF8dCKi4tMlb42MTcL1h+km16IuLOB1les32ud/xriZqJ/IMzTQ12DqHFD4etjujjKTSV6Vfm44diMRrX1cjc6/zl+eiy+PQYuBz6JG9CVo7OW4tHAVTn34CWYfuFXma3GbU+ye7ueffx579+5FgwYN8Prrr2PEiBGoVq2auN/e3h7vvPMOli9fXqoFJSKqzNwdZejR2AMNPZ0R4O0CB5k1HOys8cH2C0aPD49OwKiULIz/7jR2b5oMh6QEXPSoh9eGzEK82g07PBXI0WjQ2FMBdyc7rBnWGnY2UpyJTUKKKgczf71gMDdLV+EZm49FlVdp1csJCQnQaDSoUaOG3vYaNWrg3r17Zs+tXbs2Hj58iNzcXISFhYk95QBw5MgRrF+/HmfPni3yPc2YMQNTp04VX6empjLwJiIqhqLOs07NyoGjrTUWDm6Oj3Zd0lteS3eOu6NMPD4lU43sXC1aervg9K0kg9VWArxd9Hq48zsclYAHadlGn0EUchnCnm+K2TsvGOSzGa30xaStkeg0ws0g4atuXfGTl+7g5rIX9K75wpB5iEz2hTI2CaOVvkjMUFfY80+xg24PDw8cOnQIHTt2NHmMp6cnYmIMFyEnIqqqFHIZZvVrghnbz4uV0Zphrc2eY3fmFL778UPM6D0BE4/+iHf6vo1Uu7zhVLlaLWQ2Uiz647LB0PSBrWrhtcB6aOntgg0RMXoV6OGoBCSkV1ylQ6WvtOtliUSi91oQBINtBYWHhyM9PR3Hjx/H9OnT4efnh5CQEKSlpeHVV1/FunXr4O5uvAfDGFtbW9ja2hb5eCIiekwXiIZHJYjzq1v7uMLaSoIkVd585mSVGuHRieJzQpC/OzaMaofQTSfF5wZdkjGVWoP3TWQ2vxCXkrdudmwyQgN9Ud3JVq8joOBzSOwjFRxsrfWGmesC+mSVGtN7N0Z2rgYP07Mhk1rpZSuv5iDTSxabkK7GI5Uab9axwrev6QfcLSb/ID4z6Z6Twp5vWjYfeBEUO+gODg5G69aGD4pqtRo//PADRowYAYlEwrVAiYjySVGpMXOHfuutubW4u1w/ifarP4V1RjqiLxzA60Nm6e2XWVth8R9XjA5Nn7PzAgJ8XBEZm6S31IdOWiFzt6hyKa162d3dHVKp1KBX+8GDBwa93wX5+voCAJo3b4779+8jLCwMISEhuH79Om7evInnn39ePFar1QIArK2tcfXqVdSvX79I90lEREWTkK4WA25j86t1vceX4lLE54TwqARIAPw+KQhJKrWYZAyA0czmuuePdnWr4bXAerCzscLqg9EG72PsOST/qDtTS5WNVvpiYr7zlH5ukFrlNQDnP6fPlQgs/mOVeO62pl3xTr93DD6TI9GJ0GhLnD/8iRV7Tvfo0aORkpJisD0tLQ2jR48ulUIRET1t8leAE7r5Yf3ItqjmIEOQn2Hv37uHv8Gm/82FdUY6jvq0wCfB+nNxg/zdIQgwusY3kLc9wNsFR6ITsfFIDEIDffX2OxUyd4sql9Kql2UyGdq0aYN9+/bpbd+3b5/Jtb+NEQRBTILWqFEjnD9/HmfPnhV/+vfvj65du+Ls2bMcMk5EVAZ0idFMza/WPR808VLoPSccjkpArlZAKx9X1PdwhEIuE59fjDkSnZdN/N87yfj8YDQiY5PFZ5w1w1pjTGA9PEjNwrjgegDyAufI28niqLv8PfLGyqcrly4Il1pJxHNOXLqLOX99hU/3LIdzdgZOezXCkX0njQbcOgWHzpenYvd0mxpmdufOHSgUilIpFBFRZWYsa3hqVo5Bi7PutQABEf9ViHP++gqjT/8mXuvraSuhik0XXyv93PBWVz/kaLRmy5Cdm7f/SHQiQpWPg25jCUiocivNennq1KkYPnw42rZti44dO2Lt2rWIjY3FG2+8ASBvrvXdu3fxzTffAAA+//xz+Pj4oFGjRgDy1u1eunQpJk6cCACws7NDs2bN9N7DxcUFAAy2ExFR6dAlRjM3v1r3fLD6QLTec0LB0XCFZTbPztWieS0F1h6+YbJXfU6/pvj3djJeaV8Hk7ZG6r2PuYB+Wu9GCPB2QeTtZPx4IhZLX2yJhHQ14o5FYsfOxWj88CYS7Z2xsU1/LA8chq9qeQO4b7KsCvuK63QoctAdEBAAiUQCiUSC7t27w9r68akajQYxMTHo3bt3mRSSiKiyMJW4ZGbfxgYtziq1BpO2RiI00Bfju/ih3vRJqJkv4L4edQc9EnMxrKuduFZ35O1khG46ia9HtDVbjvxD13UBuG5uFudzPx3Kol4eOnQoEhMTMW/ePMTHx6NZs2bYs2ePODQ9Pj4esbGx4vFarRYzZsxATEwMrK2tUb9+fSxatAjjxo0rnZskIqJic3eUobO/u1j/m6Lbn/+4gqPhCstsbmtthexcrdle9Y92XcIoZV294eJOdjaFBvR3kjIx/vszj59f7G0g7RKM/SePAwAeOrjg7b7vIMI3b+nKyNvJCPJzQ7iRkYAV3elQ5KB74MCBAICzZ8+iV69ecHR8vDaaTCZD3bp1MWTIkGK9eVhYGObOnau3LX+WVEEQMHfuXKxduxZJSUlo3749Pv/8czRtWnGT4ImITIlLzsTNhAyEPOOD0UpfnL+bDEEAmtdSICFdjT5NawIAImOTxUpHpdZg9YFo3F25Fst3bxWv1Wjq/7DDwQkzvg43+l5HbyQiyN/daAuxbviWTl03OfZPDYa7I9fpfpqURb0MAOPHj8f48eON7tu0aZPe64kTJ4q92kVV8BpERFS6FHIZFg1pgZsJGWaP0zXQ6/5rLDDVBfCHjTxvBPm7o5qDDNZSCWytrUz2qodHJ2CUsq5egraiBMB6zy9JDwHX2tDVdDddPPHisE/w0NFVPH5DRAx2TwzE7J0XDTo/KrrTochB95w5cwAAdevWxdChQ2FnZ1cqBWjatCn++usv8bVUKhX//5NPPsGyZcuwadMmNGjQAPPnz0ePHj1w9epVODk5lcr7ExGVhtjEDMzcfl5sXZXLpHlzmg5GY8VfUeJxxpKKDL6wH0v2fCYe0+Cd7VBb2yA1K9fk+22IiMFvEwMxd+dFvYow/9IaQF5FU8vFnsH2U6is6mUiIqr8vFzsIbWSFNpAr/uvqcBUF8BP33ZO73mjs7875g5oir4rIxAa6IsAbxez5bGxtsL6kXmj9Lxd5QDMB/T5n19UG78BQh/nt1E7OeP5t9YhrcBjUts6rqjmIMPqkAAkpOdladclhKvo56Biz+keOXJk4QcVpwDW1qhZs6bBdkEQsGLFCsycORODBw8GAGzevBk1atTAli1bOHSNiMqMsTnZ5v5Y30/Nwozt53EkOlFcmqNLg+pIyczB6MB6aOnjKi6ZoRt2FRqYN4+qRloCOt46D6mgxd0XhiHI9yVorfIaH53t9P9E664d4O2C7FwtcrVaLHmxJdKzcpGcqUZ2jhZHbySKAb0ltOxS2SvtepmIiJ4ONZztsNhIwKxroP/hRCw+GpCXX+P1QF+TzwsOMilm9WuC5MwcOMqksLOR4tStJOz8Nw4BPnnLk/44roPZslhLJBix+ZT4WveMYiqg1w0nT1m4BIoP3hf3ze8aiqvDxmJdVz+95c2C/N2xYFBz8R4s7dmnSEF3tWrVcO3aNbi7u8PV1dXsep2PHj0qVgGioqLg5eUFW1tbtG/fHgsWLEC9evUQExODe/fuoWfPnuKxtra2CA4OxtGjR00G3dnZ2WLWVABITU0tVnmIqGozNSd70ZAWemtK5peUoRYD7tWvBGBDhH4SkSA/N6x+JQATtkSKgXeo0hcjTv+GD/7eiLGDZuJR2w5IG/oKtH/fEN/T1eFxC7CpZT90ZavvUQ0pKjVqONvh2UYeFtOyS2WjLOtlIiJ6eni52GPVfz2/KZl5SV2lVhJIrST49MWWhT4nGHsuCvRzQ2igLx6kZWF6n0Z4kJoNqUSChYOaw8PZFtm5Wr11ulv7uODoDf151oejEjDtv6XDVuXrmXawtYZMaoWEO/eheGUiFL/vAgBcr1Ybo14Mw22XmsB/ZfnfGx1xM1El5ryZ+9tFzB3QzOTzWkUqUtC9fPlycTj38uXLzVbuxdG+fXt88803aNCgAe7fv4/58+ejU6dOuHjxojivu+DaoDVq1MCtW7dMXnPhwoUG88SJiIrC1NIVh6MS9NaULHhO2n/DwMd2roeNETFiJnKd8OhE2FrnBeSCkJewpMOoQeh+4hgAYHBGDBznLtIbEr54SAvUcLYTW4BbeLsYTVBSsGwMsquGsqqXiYjo6VPS5wNTz0UR0YmQQII+zWvi+VVHxE6HPefj9JKYKf3csGFUO2SqNXhryxmD6x+OSsC91Cw0rOmst2Z39oG/8dnOJbC2lSBbao353V7DtwF9AYkE7o4yLB7SAh7OtkjLyoVPNTnup2bhhxOxSEhXIzvX+PNaRStS0J1/6NqoUaNK7c379Okj/n/z5s3RsWNH1K9fH5s3b0aHDnlDFAo+SJhaGkVnxowZmDp1qvg6NTWV64ASUZGYW4tSt6Zk/j/iusphVKe6AIBAP3e9+ds6cpkUL7f3wcaIGIRHJSBq6UDYaPOGQyVPfR/K2WFIU2uw5bX2Bj3Uuhbq+JQskwlKjJWNnm5lVS8TERHpmHsuCo9OwHu9G2LDqHYQBAHrI4xnLreSSNChXjWTa2TfScpETee8nCQf/Hga3dcuxvDIPZAKWqTVbIQhA8JwrXpdAHlzwL9/rQPm7bqo916Bfm74/rUOGPb1cRyOSsDd5EwkZKgLnR5YnqwKP0Tfnj17sHfvXoPtf/75J37//fcnKoyDgwOaN2+OqKgocZ63rsdb58GDBwa93/nZ2trC2dlZ74eIqCgKW7oi/9qV+Vt/dYlIcjWC0fN0y2iERyXg5ifPiwF3ho0dJjQeBLVWQL3qjmjl44r6Ho5Gk5hk5hivrIyVjaqWsqyXiYio6irsuSg5MweCIMDD2dYg4NYJj0pA5wbVIZdJje4H8oL7tIjj2PRGEEad2QWpoMW2Zt1weutuMeAGgMVDWhgE3EBez/tHuy5i8ZAWAICbiSp0//QQJm6NRFxyZhHvtmwVO+iePn06NBrDhz+tVovp06c/UWGys7Nx+fJleHp6wtfXFzVr1sS+ffvE/Wq1GocOHUKnTp2e6H2IiIwpbC3K/GtX5m/93RARg9FKXzjYGa9QArxdcDTqIW5+8ry4Lc7JHU2n/g8R0Ym4lahCikpdamWjqqUs62UiIqq6Cnv2kEokGLP5FG4/Mh/YPkjNRmigL4C80X8Tuvlh/ci2WD+yLVzkMrh98C5q9woWj9/cui/e6TsVpx7lQOnnJm43F9xHRCfCw9kWwOMl0HRT8Ap7xioPxQ66o6Ki0KRJE4PtjRo1QnS08aGPprz77rs4dOgQYmJi8M8//+CFF15AamoqRo4cCYlEgilTpmDBggXYvn07Lly4gFGjRkEul+OVV14pbrGJiAqlW7rCmIJrSuZv/VWpNZi0NRIyqZVe5aCTrc7Fx3vXiK+vuNdBp/GbxNfJmTlISDdfIRSnbFS1lGa9TEREpGPu2SPQzw3H/kuOpgtyzelUz01MChsZm4Qxm0/hjQ3HcK/X83BZ/5V43JghszCnx5sA8jo1xgT6IsgvrwzpWeZH/aVnacQl0HR0U/AqWrGDboVCgRs3bhhsj46OhoODQ7GudefOHYSEhKBhw4YYPHgwZDIZjh8/jjp16gAA3n//fUyZMgXjx49H27ZtcffuXfz5559co5uIyoRuLcqCFYyxpbcKtv6q1Br8cfEeJnT1Mwi8Az6ZhVf+/QMA8GvjYPQe87nefltrq0KHhxenbFS1lGa9TEREZSdFpcb1B+mIjE3C9YfpFtEDa46pZ48gP3eMUvpiQ0QMAIjT7IzRBcEyayv8OLYjNv+XFNY7+R5+/n4a+l49Ih77v/3nsd+vvfhapdbg/N0U9GleE+tHtoXC3nzPu7OdNUbnK5eOJUzBK/Y63f3798eUKVOwfft21K9fH0Bexf7OO++gf//+xbrWDz/8YHa/RCJBWFgYwsLCiltMIqIScZBJ8dGAZshQ50Kl1kBhbwMPp7zhStcfpItrdzvaWaNHYw/su/xAPPerQzfQopYL+jX3RKjSF+rMbPj++gNSuvVAtf9twXu9JmJnky5676erjAa1qlVo2fIv+5GWlcNlwQhA6dbLRERUNkqyJGlFS1GpkZWjwYf9mkCjFZCWlYv07Fy4ym0w7Ot/xORoGyJisDIkAAD0hn/r1gOftDUSneq5wd5GivDoRPS9HI4Zf29A7dSHSLZzxPt9JuPPBh2xt4kPOsdkiGt2y2VSBDfwwMDP8wLzDaPaItDPzWCVGCCv510rCJi0NdIgaZslTMErdtC9ZMkS9O7dG40aNULt2rUB5PVYBwUFYenSpaVeQCKispaiUiMhXY0klRo5Gi2OXE/EhogYqNQa9GjsgVn9mmDmjgsGFeX8gc0AQAy8VWoNtp2+jWm9G+HO/RQ0ff8N1Nz/O849H4KbJ87j0clEwEhl9OOJWLj/N9epMFwWjApivUxEZNlKsiRpeZQpIV0tdiYUzPRtrJEgyM8db3X1Q4oqRy+w1U2zCw30RajSFw621sjIzkXk7WRM2hqJgP/W6W7jLsOCP1bhlX/3Ik1mjyN1WuC956YgztkDAJCp1oidCxnZOXC2l+H6w3Txfa7cS0VY/6YI23lRL/AO9HNDWP9m+PNSvEHAbSlT8IoddCsUChw9ehT79u3Dv//+C3t7e7Ro0QKdO3cui/IREZUpY5WK0s8NK0MCMGlrJBp6OmPG9vNG18f+cMcFLHmxJab3yRV7nh3trDF7cwS+mtQDAJAttcZnMj/8+9tNfBvaHkkqNZIzc2BrbYXI28n48UQs5g1oxkCaSoz1MhGRZSvukqRlrbBed1ONBOHRea/f6lYfSj83vWcjlVqD1QeiEejnhlY+ruIyp8828sC0Po2g/uEnNJ3yGgBACwk2t3keywOHQWP1OAmtk52N2LmQolJjwtZIcVlWAGhYwxkvrz2OxUNaYFqfRkjP0sDRTooHqdl4ee0xrHw5QK+8ljQFr9hBN5A37Ltnz57o2bNnaZeHiKjcmKpUdJVIaKAvArxdzK6PnZ6Vi/oejuK2mMs3xYAbAMYN+hB/128LpKsx5Muj+GFsB2TmaJCdq0Wnem4IaecNTwsdVkaVB+tlIiLLVZwlSctaUXrdC1ufe0oPf8zp1xQf7bqI8AIj+OYPbI74lEw08XSG3EYKF7kN0KkTmt64IB43fOhHOFK3ld51O/u7w9pKgsjYJDjb20CrFRAelYCW3i5igJ+dq0VCuhpjNp8yeX97pwQhU62xuCl4RQq6V65cibFjx8LOzg4rV640e+ykSZNKpWBERGXNXKVyJDoRoUpfZOdqzV5Dr6KMj4dvk8fDxI8Mn4jhM97AS7la2NlIcSY2CfEpWRj37WnxmM7+7hUyrIwqN9bLRESVhyUt+1mUXvfCGgnup2Zj+M8nEBroi1H5hpMDwPxdF/HXlYcAgGktnfHmK/qjro7tOAg8tNObbhfk747xXf3QZ2W4ODx8/ci2APTnixeWJT0zR4OPd1+2yOeqIgXdy5cvx7Bhw2BnZ4fly5ebPE4ikbByJ6JKo7BKJTtXW+gfeAdba1x/kI6M+wlo0eJxwH3tvTlY06A3juRrjVX6uaF/Cy/IZVKxUqmIYWVU+bFeLrnC5jESEZU23dJbh40Eu+U957gove6FNRLYWluJw8kBYOvrHSCRSOBsZy0G3M3jozDq20/Fc5LtHNFm4vewPZ2F0MC8hLMKexso7G1w6lYSQjedNJiPDejPF6/uZIsgPze93nUdXWJaS32uKlLQHRMTY/T/iYgqM0db838CdfOuTWXKDPJ3x6lbSVj8/RF8++MscfvJaR9jhV83g3ngR6IT8dGuiwgN9NUbsm4JS1lQ5cJ6uWQqY/ZgIqr8dEtvTd92Ti/w7uzvjgWDmiMxQ40bCRnl0hBYlF53c40EBdfBBgCVOhdjNp/K650WBIw8swszD6yHTJsLjcQKC7qGYn27gf8d+zhY3zG+E6wkEsz45bx4LblMitDAvIB8/ci2kEgkOBObhA0RMfl6vSXi/HJdmXRZ0gHLfK4q9jrd8+bNg0qlMtiemZmJefPmlUqhiIjKWlxyJk7dSip0Xcmr8alYMKi50fWx3+rqh492XcKsA1+j+f3rSJArEDJ6GZwmTzAIuHXCoxMR4O2it80SlrKgyov1ctEUNo/R0tfLJaLKTbfs5/6pwdgxvhP2Tw3GwsHNEfbbRXT79BAGrTmK7p8ewsStkYhLziyzcugCamN0ve4KuQwLBjVHYIFnJF1wm38d7PxBuE1SItZvm4cJR3+ETJuLBz37ImDSFjHgLsjJzkav510uk2JlSAAiY5PwwpfHMGbzKYRuOonI2CRxiHleAtqmWD+yLdYMa431I9siwMdVb6kwS3yukgiCIBTnBKlUivj4eHh4eOhtT0xMhIeHBzQaw2EBFSk1NRUKhQIpKSlwdnau6OIQkQXQZcQ8fSvvj/jGIzF6QXKQvzvm9m8KAHBzeJxFM//62NZWEoz4eAc+2vEplnQegXfCv8P8bmMQ7e6Db8c8g+HrT5h8/zXDWmP892cAcE53VVZa9VNlq5dLojQ+q+sP0tF92SGT+/dPDdZLikhEVJZ0zyLG5leX9bNBXHKmyV53tUaLlMwcyG2luPMoExKJBOpcLeq4yXE2Ngkf7b4sBrf5e5ifuXwcqw5+AafEB8iyluGDXm/BZ/I4nL6VZHQ4uO4eE9LV4t/mCd38EBmbZLTjIsjfHfMHNMtLzAZg4tZIk8P1y/O5qqj1U7GzlwuCAIlEYrD933//RbVq1Yp7OSKicpc/iUj+dSV1c7j9qjuijruD3jkF18e+tP84Nm96D3WT42Gbq8bQVxYB//1tzNGYb8vUzRO3pKUsqPJivVw0lpQ9mIioopYRS1GpkZWjwYf9mkArCFBla6Cwt4GdjRXm7LyIvy4/EI/VBdVX7qXip1OxaOKlwKqQAMhl1lCp89bhfue7E7iwYACskPfsk1HPHx8Pn40/tO743NsV7eu5QQsYdG7kf/7RDWU3tWKMXCZFS28XZOZo8ChBDWd7m7xRAjsvYl++8lryc1WRg25XV1dIJBJIJBI0aNBAr4LXaDRIT0/HG2+8USaFJCIqDbre6sSMvGGkunlDAd4uyM6XYby6owyAg+kL/fUXmvTIWxYsVlED7/SbKgbcAHAmNglB/u5GK9Mgf3f4VJNj/9Rgi1rKgiof1svFY0nZg4mIKqIh0FRei4WDm2P6L+dNLqH69rMNsOKvKBz4L0naplHtEHk7GZ2TY/Dugv5653R+8RN8O7YrQrTAJ39cxunYZIPOjQdp2ZDL8tbnzj/f3diKMboh5xuPxOgF5EH+7pg3oClm9W2C5Ew1HGwta4mwgoocdK9YsQKCICA0NBRz586FQqEQ98lkMtStWxcdO3Ysk0ISET2p/BXN+pFtTf4RV/q54YXWtU1f6LffgP6PK5jhQz/CHUUNvUOuxqdi4aDm+GD7eYOhW/MGNENKphqOfMCnJ8R6uXgsKXswEZUeS1uRoKjlKe+GQHN5LW4lqswuoTqx6+MRfHKZFC4OMkh27sQzn78vbv+3WQc8/GkHWv1zC1pBACQQh5Ub671+pm418XPRzXePT8kyOC400NdgGiAAhEcl4MMdF9CvhRc61nODq9zGYgNuoBhB98iRIwEAvr6+UCqVsLYu9sh0IqIKUbCiibydjA/7Njb6RzwyNhnHbiQiR6NFenaufoX544/Ayy+Lxz44fAx1rklwy0hg7flfBaKbB24vk+JMbDKey7cGJbMm05NgvVw85rIHW+pwRCIyr7xXJCgsoC5Oecq7IdDccPbkTPO96nLbvF5puUyK1UOaIm7MeLyzb6u4f9QLc/B3/XYIPBKD93s3wqW4VLg52pq9ZsGe/IJDzXVMDTkH8hoEQpW+mLXjAt7r3RB2qdmo4WxrkX/Pi11DOzk54fLly2jevDkA4Ndff8XGjRvRpEkThIWFQSazvJskoqqtYEWzISIGP47rgA+2X9AbYq7WaOHtKse5O8kY8PkRveB4qb8WHvkCbly6BI/GjbGqjX6CtfxDm3TzwE0lS9FlTWYiNXoSrJeLzqtAY1jB31kiqjwKW5GgtOvWwgLq4panvBsCzQ1n1+WaMcXJ1hp9m9fEpDpWqDVhOBwj8hKfbWzzPD7pPBKZMjsAQER0IkLT1YUG3MDjnvz8DRkKext8NLAZZm4/Ly7VamzIeX5ymTVGB/oCAAauOYK2dVwtskOj2EH3uHHjMH36dDRv3hw3btzA0KFDMXjwYPz8889QqVRYsWJFGRSTiKjkClY0KrUGd5IyzQ4xXxkSIC4/kXroCBwmhT2+QHQ0UL8+AMMEa8ZUVLIUqhpYLxdPUX5nicjylWfdWpSAuiTlKc+GQHPD2SNvJ5vMRdPZ3x3VHGQIy7wAxx7jIYMWd5yrY+6z47DPv4PB8dm5GggCcCk+NW85sf/mdOfPn3M/NQvujjKjDRndG1XH+70bITQ9L+GbdzXzwbNujfCgfM9ultihUeyg+9q1a2jVqhUA4Oeff0ZwcDC2bNmCI0eO4OWXX2blTkQWx1hFI5NamZwnpHsdGuiLH3eeRLvbF+GgSkNmu/aw37cXyDd3tiiYNZnKEutlIqqKyrNuLUpAXdLylFdDoLnh7OZy0XzSxQsKh8c912ltO+CFdm/gnrPxtb6rO9oiPSsXNlIJwp5visT0bKw6GG2QBC3Izx1hv100+Fz3X3mIrFwtAnxcsfpANCZ084PSz83oMmL51wgPj06EFnnPbqsPRFtch4b5sQRGCIIArTavm/+vv/7Cc889BwDw9vZGQoLxf4xERBVJV9EAefORJnTzQ3UnW3SqZ/yPOJAXeHe7ewF/r30d6bZyvPvcFERt/rnYATfArMlUtlgvE1FVVJ51a1ECakuv63XD2Qs+D215rT3eCK6PbI0WS15siQPvBGPH+E7YPzUYX9pEo6afj3iNlR2HIubn31C/dUOj76H0c4OttRQezrY4EfMIu8/HY/XBaKNJ0GZsP49GnsbXtT4SnYgAbxcAeVMCRyt9EeTnZvBeo5W+2BARY/Q8S+vQKHZPd9u2bTF//nw8++yzOHToEL744gsAQExMDGrUqFHI2URE5U8hl2Hh4OaIfaSCBBJoIeDAlQfoUC/vD7ixpcPkc2ej9eKvAAA9o44h9IU5eNPNtUTvz6zJVJZYLxNRVVSedWtRAmpLrOuNJX5bFRKAxAw1BABhv17Q64HWzVGv5+4AtG8PnDwp7lvVcSiWdR6Ohhm5GK3Mm0OdP5jWBcEZ2Tn4/OB1McnZir+ijJYtPCoBozrVNVl23VxulVqDSVsjMbZzPczs2wTJmTnIyM5bI1w3DdDYeRXdyFFQsYPuFStWYNiwYdixYwdmzpwJPz8/AMD//vc/dOrUqdQLSET0pOKSMw3Wn1T6uaF7Yw+j87qX7F6Bbhf+AgAcqReAcYM+RFADjxJXmMyaTGWJ9TIRVUXlWbcWJaC2tLre2HzpHo09ENa/KTRaAbGPVBgdWA8tfVyxISIGKrUGh6MSMPfbo1h16EvI8gXct//+B5/+nrdGt7WVBBO3Rhqsva0Lgre92Qnh0XnvWVgStFytgAnd/PQ6Pc7EJmFDRIxecjeVWoOTNx+hlos9WtRW4OW1x01e085GapEdGhJBEITCDytcVlYWpFIpbGwsq1UhNTUVCoUCKSkpcHY2PoSBiCo3c0t4mMocDgALBjWDBMCu8/Fia+2a7Qvw3LWj4jErfo3EmYfZWDykBTyfMBOmrpzMmkxA2ddPllovlwTrciIypbzq1rjkTJMBdf7nA0uo6409++TvZDDWQz1payTq37qCz39dBJ+U+3k7fX2BqCikZGswcWskDkclYEI3P0TGJhmdnhfo54bZ/Zqg54pwAMD6kW0xZvMpo2WUy6TY+ZYSc367qHetID93zOrXBBnqXOy/8gAbImIQ4OOCid38UbeaHBIrCd756ayY3bzg+0/o5o861eRP/MxWVEWtn0ptUU87O7vSuhQRUZHlb8nVDRPvVM8NMmsruDrIYC2R4PStJKPnzt99Gb+82Qkztl8AAHz7w4cIunVW3N/gne3Y2a4eRivsSqXCZNZkKk+sl4moKiivurWomcYtoa43lvjNXPJYiVaLLx/8jda7NsAhLRHZtX3wcO1GOAUHAtkaJGaoEda/KebsvIgNETFYGRIgnqsT5OeOsP5NkSs87t2OvJ1sMgnarL6NMbdAwA0A4dEJmLvrIgJ8XPHv7WTsnhgIqUQChdwGCrkMNx6mY5TSFwIMh7ePUvrC3VFWbgF3cRQ76NZoNFi+fDl++uknxMbGQq1W6+1/9OhRqRWOiMic/Et4FBwmnj8A3zCyHTJzNDj935Al3fwflVqDZFVeoo2Xz/6hF3Av230eX/hWR2pWLmys8/7OVXQlSmQM62UiovJhCQF1URhL/Bbg7aI3f1unenoSxi4JQ+fovB7pH5v3wMfdxiD1UCaC4iLxVlc/hG7KG2o+tnM9vNOzITRaLT7q3ww5ghYQgFyNgMQMNWIfqaAVBHRvVB37rzw0E6C7IaCOq9jpUZBuPvjqA9GYs/Oi3vJfKZk5mGRmePuW19o/2YdXRooddM+dOxdff/01pk6dilmzZmHmzJm4efMmduzYgdmzZ5dFGYmIjMrfkpu/Bbeo628DgIOdFEP/3YtFe1cDAO4qPHA5IhKnj8di5eFb4rm65CJeFth6SlUb62UiIsrPWOI3Y/Or3w7/HpOPbgUAqG1kCOv2Ora07A1IJADykp1pBUFchmvFX1FY8VcUOvu7Y1VIAJIzc/DB9vMGPc6z+zUFkLf8ly5AHt/FD1IrCRxtrXHuTjJiEjLM3oOuvAXXOHe2s4FKrTHagABYXgI1nWIH3d9//z3WrVuHvn37Yu7cuQgJCUH9+vXRokULHD9+HJMmTSqLchJRFWVuvnb+ltz8LbhFWX979YFoKP3cIPl+C+xatUDS3074sUUPpM/7GJHHYw3OPRyVgOnbzum1thJZAtbLRESUn7HEb3IbqZi0LEeVid5tffXOeX74MlytXtfgWrpe5/wORyUgNTMHHxYIuHXHz9t1EaFKX7zXqxGycjSQWVthz4V7sJFKcCLmEY5EJ2L9yLZm7yF/IrUklRqRsUlwtreBo521xWWJL4pir9N97949NG/eHADg6OiIlJQUAEC/fv2we/fu0i0dEVVpccmZmLA1Et2XHcKgNUfR/dNDmLg1EnHJmQD0W3Lzt+AGeLuYXX87wNsFQfXdsPLab2g27S28e/hbhIVtxqIuoxHg42ryXF1rK5ElYb1MRFR+UlRqXH+QjsjYJFx/mI4UleU9Fxhbk9vFQYbI2CTMXPWHQcB95MhFowG3jrFe8nS1BuFmnrUAICtHg1Y+rrC1lmL1gWg081KI+3TzvY1R+rkh8nay+DolMweD1hzF86sicPjaQ3zQtzHWj2yLDaPaYUI3P8hlUotfEabYPd21a9dGfHw8fHx84Ofnhz///BOtW7fGyZMnYWtrWxZlJKIqKP987fzy9zjnb8nN3yJa2BIVDjIpvh3bUXy9z7MpvAOaYL23C+Qy838W04zMkyKqSKyXiYjKh7FluCx1+ln+xG9aQcC83y7C9o/fsWfPCvGY/fXbYeP0lfjI3wdyWSxCA32NLt/l4WQLuUyqtyZ2Yc9D2blacai37nkt//OZbr63FSTiEmOAfjZ1IC9BW+TtZL2pg+/975x4fJC/O/ZMCoLrf4nWLFWxg+5BgwZh//79aN++PSZPnoyQkBCsX78esbGxePvtt8uijERUBRnLvKmj63Gu7+EoromZP0Nm/gC8IImgRQe/6uLrdZ1exLNffAJFQgayc7XwcJaaLZelzhWiqov1MhFR2StKZ0BpBH3mptWV5DyFXIbrtxPRbsMKTDr2IwDgfI36mNZnMi7VqAdEJ0IjCNgwqh1WHYgyyIWzfmRb3HiYrpcTp7O/u9F54/m52NuIQ711Pe83883jVqk1mLQ1Et+/1h6jA30hl0mh0Qo4diNRfB+lnxs+7NcYg9YcNTl1MDwqAbN/vYBV/yVss1TFDroXLVok/v8LL7yA2rVr4+jRo/Dz80P//v1LtXBEVHUZy7yZn66FVdeSm5ihxqCAWgjbeRGRt5PRrVF1NPFS6LXYRsYk4J3nmorXuFy9LsJD30GwVhDXkZzQzc/k8haWPFeIqi7Wy0REZa8onQElDbp1AXOSSo0cjRZHrieKq60UpSfdbA98wl14Dn4Rb148j2Q7R2xr1h2Lg0dBbf04aBYE4PMD0UbnZ1tBgjZ1XfHrv3EYF1wPHk52aO3jgvTsXGx5vT2O5iurTqCfG3yqyQEA1x+kIzUrBwp7G9R1d0CQv7tYTpVag0cZaozZfEpcdSbA2wVLX2wpZiSPT86CSq0xmX0dePLPvzw88TrdHTp0QIcOHUqjLERUBZlqmf0/e2ceF1W9///nMDDAgCyCu6DoUIor5pICVran5Va30F/XraxMW6ybWrmbZqtft1ZNuzetW25pe3or0DaT3E1RFHcEWYRhGGb5/TGc4+wLDAr0eT4e93Gbc86c8znH4Xw+7+319uRBtY84m80WQ336wCRMmBjeoxUvbtwnv6ADTEaOvTpYPv73Vkksmb2ShcO7Ul55eaJw1d6irtcKCQQSYl4WCAQC/+NtMMBXnBnM1t1WPEXS3UXgj98xhBZZP6DW6ykMacTTg57hh/aOAmZGk9kmxduajOx8Rqe05d2fjjFvcGdmbNrPtPV75f2pdp1h0jSxvDS0M0EBCiauzbIZ160dm/LSkM68uHGfLISWdbKIVE0MmdkFDka1dc23p9LBul7+55XR/fnnn3t9QuFVFwgE3nK2qJwfDl+gaaNgKgwmCrWV/JZzkRuvaeJUeVPCOuLsbLKaP7QzX+09KxvNgUYDr3/xpry/7ObbaLxmHUvCLQZ+sVYvX0tKd5L6PwLEN1bTtFGwMLgFdQYxLwsEAsGVxddggDe4Mpjtu624i+Q6i8A31haza8lI+bMhJZVZg5/jhwLH8rv+ibFo9Qa346wwmBibmsCMTfscxNMyswtQKBSsf6wfANFhKkICA2wMbusodvaFUl4clESwMoDicj3hIUE80DOO5zfstVnzpSXGMvPuJI5eKGPl6F5EhLg3W+t6+Z9XRveQIUO8OplCocBoNHo+UCAQ/O0p1uo5cVHLlj1nbCLKaZoYerWNRhmgYOHwrkxZt8fmJWwdcXY1WTWLCLGZFEb9sZnBB3+kMkDJ87dP5NFV82jfNFzeL9UaTa26ltT/UbpWizomjiIQiHlZIBAIrizeBgN8wV3Kun2rLleRXPsI/D0HfmTx5ldttgX+8D+mlFZS6GJNZZ0a7ozgwAC36d0ZR/IJUgbIa6ujeaU2BrckgGb9/bTEWBYM7ULrqjR0SfTtkq6SUJWSXScKuWfpdnls84d2Jk0T6zQiXx/K/7wyuk0m9+F8gUAg8JUibSVLth1xFMTILmDm5/sZ1LUlN1zTxOYl3CjEIsoheXpdTVZSClKwQc9rX7zJmu538uU1/VjX5Wa2avow0snEZa3y6exaAkFdQszLAoFAcGWxd9BLOCs/sy+dCw8OpKzCQHG5bSmdp5R165RqV5FcOQJvNjNi99fM/2aZvO//+qUzaMO7tA8MpGVUoMt1jnXGnz1S+67kuCi3Y7V2CljflzsBtJmf72P24M5UVJoulxk2CmbGpn1sO3TB5vh5Xxxk5ahelu9mu3/+dZEa1XTrdDpCQkL8NRaBQPA3okxvcNtLe2xKglzDZB2VtsbVZBUcGEBk+SWWbXqZ1BO7uf7kXtIeeR9dkOV95WriklQ+BYL6ipiXBQKBoPbwxkHvrOwtVRPD6Ko2WNbiaJ5S1qVuLO4iubHhKu5oFcygZbMZ9FemvP2Wcctp2bcHo62+52qd48qhILXv+uS3XO7u2sLtWKW1VbFWT2iQkuUjexASpCQ2XMXKzByH49UqJel92jBt3R6b7MQ0TSyjUtryy7GLNhF4rd7I2NW/8/H463lM157goACiQlX1JkDis9FtNBqZP38+b7/9NufPn+fw4cO0a9eO6dOn07ZtW8aNG1cb4xQIBA2MMg+pTBUGk0c1SleT1eE/D7N7cbrlOkEhTLrnOdng7p8YS3hIoKym6Us7DoGgLiLmZYFAILhyuHPQuyp7y8wuwIxtjfbUdXt49b5uHiPMniK5kXuzWPLuZMxH/6IyQMnCG0axotcQ0q5p6lME2NqhUFxeiVqlRBmgQBmg4LX7ugF4TK935nBIsxNaA4vBvSQ9mVXbcxxqxDOy8zFhlp+VNVq9kVOF5Uz4aBdbJ9/gMihTF3HdzNYFL730EqtWreKVV15Bpbr8j9ilSxfef/99vw5OIBA0XKJCvfPuulOjlOqrrGlVnMdjI/rLn5+//XF+ie8KWCaFeUM688KGvdz8xo8MXb6Dm1//kUlrszhTVF7dWxEIripiXhYIBIK6gacabesU7Z+O5FNWYeDl4V0d1jJpibHMHdyZYcmtWJKe7FxbxmSCV1+F1FSC9u1F2SmJ8198z6BVr/H9Mze5/p4bItUq2jcNp0ebaDq0iCCxWSPaNQmXHQ3Oxio5BQCnDoeM7AI+2J7D2FRLfbpU4x0SpHQwuF09K2tCgpRMHKChwmAkK7eQoxdKKdbqfbrPq4HPke4PP/yQd999l5tvvplHH31U3t61a1cOHTrk18EJBIKGS9NGwTa9Gq2RvLvgXo3SPh2q7cXT/PDeI/L+Uy+9zvhR4/inwUhUqIrwkEBe2LCX7w/m2ZzHUzsOgaAuI+ZlgUAgqBv4UqMNUFJeSbsm4TYp62HBgaiUARRVKXs7Zf9+6NxZ/lh6zzCOvvQG4c1iSHCSveeqPauvuEqvBzhbrCO9dzxjUhLYlVto07vbWhROqvEe2aeN22s5axGWprFE1LNyC22i4N70Mr/a+Gx0nz59Go1G47DdZDJRWVm3+6MJBIK6Q6RaxYKhXZi2Ya9Db8oxVXVP3qhRtowKZe7gzpw4lEP/tEHy9imDn+WTkmthSaacgnQ0r9TB4JbwlMouENRVxLwsEAgEdQNva7QlpMCCFEl2lp7tYFBOnw7z5sn7V418llmtboD/7HN6vFfn9AH79HpPfcbtldElFXRrZXan17HLiEzVxDD97iRe/uqggyZQfQie+Gx0d+rUiYyMDNq0sfVOfPrppyQnJ/ttYAKBoH7jyat6pqicWZv30y0uijEpCQQqFcSoVQQoFFy4VMH0QUn018RSUKbnWH6ZfA7A4bylOSdoOfhO+dyPDpnG19emyJ+lFHVPHmh3qewCQV1FzMtXF39FkAQCQf3HXVsx6yw+cBRHc1UPLhuU93UhstO1cOqUvG/p+Lm8Fp3s/Ph0y3a356yhkeptn3GA1tGhrHmoDwqFAoCsk0WkaGKciuqmaGLQVRpZMaonFQYTkaFBxEWHkpOvdVA1t76nuhw88dnonjlzJg8++CCnT5/GZDKxfv16/vrrLz788EO2bNlSG2MUCAT1DE9eVeuX9I6jBXRPj+KdH4859Ovu1jqSR/79B7Pu6USQMoDDpaUYTCa2Hy2Q05buah7IzCYlxBae4UyjWEY88BLHG7eyGY/kSfbkgXaXyi4Q1FXEvHz18HcESSAQ1G9cqYBbq5eD8zZX7urBj/xxENX7k20M7pwDOby2er/T4yUDFHB5Tn8Yqd72Ge+fGEt4cCC7covo3CoCgJWZOSyucgxsd6JePskuSv7lE6moVUq346nLwROfje67776bTz75hPnz56NQKJgxYwY9evRg8+bN3HrrrbUxRoFAUI/w6KmtqgWS9rvs35hdAF8e4sOxvXlx0z6b/VLa0ivLv+T5mVPJ6jOA8JeWMvWEilNRzW3OY+1JdueB9iaVXSCoi4h5+ergzbuurkZcBAJB7eGs7jk8xNKne81DfZy2GQPX2Xgpx/9k6aaFhOouQaNGMHs2PP00RbmFbsdxSVeJ2cNYvTFS3WXzeFPD3j8xlvlDuzDz8/18fzCPiQM0coT7ibVZjO/fjqdvuQaDyUxYsBKVUsnWQ+cY378dXVpFUmEwERKkRG80ERHq3nSty8GTavXpvv3227n99tv9PRaBQNAAcOf1lLyq1i9pqbbHGRnZ+Wj1RpLjo8nKLbIR5EjencG3S58DQL/zJ4xLFpKQeZZTdjVFE27SoNUbiVS79kB7aschENR1xLx85fHmXSfeKQLB3xN3bcVcYZ+NpzJUMu2HlYz5YzMFoRHouiUT8tl/oUrDwx/Ze56OOVNUzoxN++jQIoLkuCjOFuvIUwcR31hNq2i1xzG0iw1jSXoyBWV6WVPHOsKdlVtE51aRvPn9YbZnF6BWKRnfvx23dmzGuRIdCoWCA2dLWJmZw3Xx0bw0rAu3dmzKd070eep68KRaRrdAIBC4wpu6aeuXtDN1SmtOXNSSlVtoI8gx6OBPPPv5KwAUhYRz/4iXeSekEXd1gdH92lJhMBEcGEDWySLGrvqdnm2i5aiTK+VNsTgWCAS+IDQiBAKBP7HOxrvx6E5e+mYZrS5Z6pd/vmEwaWuXExIV7vR4e6wN0Opm+BVr9czYtI8HesfzwfYcmwBJqiaGl4d19TiGFpEhRKpVHMsvk7dr9UaeWJvF2NQEpt7RkVe+Pigb3Iurencv+v6IfLy1KNuLG/ayYFgXKgymehc8EUa3QCDwK954Xq1f0vZKnvYEBwbYCHKcX/QWr371f/L+4SNf5UJ4Y9QqJdPW73V6DvuoU3U80AKBQGCN0IgQCATu8FVkUcrGu5B2M932/QxAYUgjVo6fxYjZjxFppxMhHT9z0z6urYpEVxhMRFdFoqVrOcvwS6tK+XY3nvxSPR1aRDgtAczMLmDahr0sTU9m3pDOPL9hL5lWx6RqYpg3pLN8fvv3pVZvZOm2bG68poncq9tVuaG9KJtWb6yXwRNhdAsEAr/ijec1Uq1i/tAuTF2/x6N6paT0uT27gBk5W7nWyuDe8fUvHP1fPv0TYwkIULgdl4g6CQQCfyI0IgQCgSuqJbKYl0fLZs1oabXp0rfbeOg61xHcllGhzLy7E9PW73HZt7plVCgLhnXhRIGWovJKORNw9ub9zB7c2eV4SnSVcgmgWqVkbGqCbNiHBCnZlVtIsbaSOV8coHt8NGNSEmwyDeduOcBr93UjUq1y+b40GC9XnbsrN7QWZcu9qCUsOJD2TcOdHltXEUa3QCDwK97WTeuNJrrHR9OrTWMGd2vJnC0HXPbrVquUTI+6yLXPvCjv37hpBycCo+mfCAuHd6W80rYPpD0i6iQQCPyJ0IgQCATOqJbI4p490K2b7baKCuJV7t8jxVo90zbslaPFzq4FMHX9XqcaFBUG16KPESFBnC3WyWnf9inmKZoYhie3YsfRArle2x4py9DV+zIs5LIauadyQ+v9U9btYWk9E6sURrdAIPA73tRNF5dXyi9vyYP63B3XcvJiuewllVprrL5GT5dx4+Tv9pz4bzpeCGBuv1aM7tuWSLWKYq1eRJ0EAsEVRWhECAQCe3wSWTSb4e234emnLx80axbMnOm3a4H7tmF5lyqcvrNiw1WcLwlym/Y94/P9Nr247bHOMnT2vlQGIGc7elNuKGVAZrgZd13FZ6N78uTJTrcrFApCQkLQaDQMHjyYxo0b13hwAoGg/uKubrpYqyc0SMnykT3kFKWVmTkAZOUW2rzYX4nKY+NfChqHx3Aqshnjh75ARVAwGUfymbFpn+zFFVEnwd8VMS9fXYRGhEAgsMZrkcWiInj8cdi0CSoq4K67YNUqaNIE8K4m3JtreWobJqVr26eZR6pVtIlRYwbXXWaO5DO6X1uX57bPMrR/XxZr9UwakAjgsdzwfIlOzoAES/CmPuGz0Z2VlcWuXbswGo1ce+21mM1mjhw5glKppEOHDixfvpxnnnmGzMxMkpKSamPMAoGgHmE/aYQEBsi9GiXSNLFsmZSKrtLIbUnNeOXrQ2RmF3DrkV+49/OFXBfRjMeGTON4dCv0gZdf4PYeYxF1EvwdEfOyQCAQ1B28Eln85Rd44AE4cQKaNYM5c+CppyDAEu31tibcX4KOMzftY97QLpTqDDZGfqtoNWeLdV6dwx5vsgwj1SraNFYzqGtLWkSEMKR7K2Z/vp+M7Hw5C7JfuxiCAgNQKhT8dOSC/N1QlZKs3EKvROrqAj4b3ZK3/IMPPiAiIgKAkpISxo0bR2pqKg8//DAjRozg6aef5ptvvvH7gAUCQf3B2aSRqolhdEoCO44WyH23M7Lzmb5pHwO7tKB9k3DmDelMowdHEvP15wAcatKGnMatqFQ6Th72Amki6iT4uyHmZYFAIKg7uBNZvKF9NAlJbaGgKprbrh18/DH06iUf40tNeE3bhqVoYth7upj7e8fz7H//tKkNl4z8aA9rqqYRwaRqYmzUy/tXqaMXlOk5ll/m1jBuERXKXZ2bk1+qx4yZu7q2YFxqAq2iQ5mzeb9DHfni9GQ+/vUEZjMMXb7DZqwuRerqAAqz2ewp68CGVq1a8d133zl4y/fv389tt93G6dOn2bVrF7fddhv5+c7rB64kJSUlREZGUlxcLC9GBAKB7/ja+qJYq2fi2iyndUQpmhiS46Md0pVWjOrJyu05vPbec7T4LQOAyjYJdPjHIowBSofzAGydfEO9U7AUCMB/81N9m5erg5jLBQJBfeJMUblDuVu6upgFM0dePqh3b/j2W4iMtPnu0bxSbn7jR5fntl/3OLuWVFrXosoIdRYEkQRr958p5reci07TuvsnxvLqfd3416e7XRrtvdo2xmAyM6hLC3SVRhqFBBES5JjV6K1hfKaonB8PX2DLnjNOx5SqieGFu5IICQrgvnd+luvW+yfGuhSFq028nZ/cV6w7obi4mLw8R4W6CxcuUFJSAkBUVBR6vd7XUwsEgjpIsVbP8fwyJq7Zxc1v/MjQ5Tu4+fUfmbQ2izNF5S6/507cY3t2AclxUQ7bKwwm/jXjn7LBDaDdvZeUa5s5PY8QSBMI/D8vL1++nISEBEJCQrjuuuvIyMhweWxmZiYpKSnExMQQGhpKhw4dePPNN22Oee+990hLSyM6Opro6GhuueUWfvvtNx/uUCAQCOoXUrnb1sk3sHFCP35X77ExuA29+1hSzO0MbvChJtzFtbZOvoEl6cmywS0dM29wZ1aM6snykT1YMaonyfHRPLE2i84tI50at2CJrpdVGHh5eFfSEmNt9klG+7s/HWPptmx0lUa6x0cTG65i6vq9DormUqS+WOt+LgpTKUmOi3I5pszsArSVBuZ9cYCFw7vanF8ywOsi1UovHzt2LK+//jq9evVCoVDw22+/8eyzzzJkyBAAfvvtN6655hp/j1UgEFxh3Hkb3ba+wPOk4aw1RMrIgUSePXJ5g8FApFIpBNIEAjf4c17+5JNPeOqpp1i+fDkpKSm888473HnnnRw4cID4+HiH48PCwpg4cSJdu3YlLCyMzMxMHnnkEcLCwhg/fjwAP/zwA+np6fTr14+QkBBeeeUVbrvtNvbv30+rVq38+iwEAoGgrhCpVhGpCuDS1Lk0ev0Vefvj90zh0j1DeblY5zTq62udtreZiFHqIFbvOO4QsfbUqqukvJJ2TcKZN7gz2RdKbXpxP7E2Sy4VlMblk3q7HVJEPr2343xjTZG2kvQ+bWgeGWyz3d4hUZfw2eh+5513ePrpp3nggQcwGAyWkwQGMmrUKNm73aFDB95//33/jlQgEFxRpJqi0f3auvWAunp5epo07FtDLMj+isi9WfLnA6cKSVJaUsqFQJpA4Bp/zstvvPEG48aN46GHHgJg0aJFfPPNN7z11lssWLDA4fjk5GSSk5Plz23btmX9+vVkZGTIRvdHH31k85333nuPzz77jK1bt/LPf/6zejctEAgEdZ0zZzA8kE6jjJ8AyGjTnUmDn6MoNALcBC68rdMG7wXX4HKXF/vjI0O9M/JdGe324zKazawY1ZMKg8mmQ41knLsyjK1r2d0pokt8sD2HF++yLavyVjjuauCz0R0eHs57773Hm2++ybFjxzCbzbRv357w8Mu1Bd27d/fnGAUCwVVA8lR68ja6enm6mzRSq/osSoyvPEb6umUAfDPgPgpeeoWUYPdtJgQCgQV/zct6vZ4//viDqVOn2my/7bbb2LFjh1djycrKYseOHcybN8/lMVqtlsrKSrctzCoqKqioqJA/S2nyAoFAcLXwSdtm0yYYMwaUgZSo1Dx/x0S2dOxvc4irwIW3LVB9EVyTaBkVyvRBSZy8qJUj1rpKo6X/dW4RY1MTSI6Lkg3m8yU62Zj2ZlxnisqZu3m/jSCbJH4mRcVdGcbWEXJP7cOyThaxPbsAs+Ly9rpecuiz0S0RHh5O165dPR8oEAjqJVJ6uH1E2h5VYABHL5Q6TD6uPKppmhj+dUcHlAGQ3DqSdosXciCqFR/2HkxIy+bEvfYS0QEWj6o3+CrwJhA0VGo6L+fn52M0GmnWzFZDoVmzZpw7d87td1u3bs2FCxcwGAzMmjVLjpQ7Y+rUqbRq1YpbbrnF5TELFixg9uzZvt2AQCCo09Tn+drriHJJCYwaBRs3AqDr0Ys7ez/G6cimTs/rKnDhTYZfddO4lQoF41bvlD+rVUqWjehBSFAAS/+XbSNym5YYyw3XNCFS7X5cACfyy3hx414bgxuQDeexqQnsOVnk0jC2LktcmZnD4vRkm+/D5TpyqVf3pape3fWh5NBno7usrIyXX36ZrVu3kpeXh8lkWwdw7Ngxvw1OIBBcPaT0cE/exi/3nWPptmynk48CuKtzc0b3ayt7VM+X6Cgo1fPcf7N4d+eHJGxeQ1ulkr/+9xv6hHYcOltCz7aNvXpx+pJWJRA0VPw9LysUCpvPZrPZYZs9GRkZlJaW8ssvvzB16lQ0Gg3p6ekOx73yyiusXbuWH374gZCQEJfnmzZtGpMnT5Y/l5SUEBcX59N9CASCukN9nq+9jih/8QUMGnT5gGef5fyT0zi99GeX5/ZYnx2uctmhxVfBNQn7TESt3sjuU0XsPO6oYJ7hJGpun3ko/duO7tfWweCW2J5dwOM3ahjZO97l+s66LFGrN/LE2izGpiYwNiWBCoOJuMahfLP/vE0deWRoEFsn31AvSg59NrofeughfvzxRx588EFatGjhcSIWCAT1E+ml7K238acj+UxZt4d5QzoTVVUf9JyTSQogtV0Uv8+8Q/6cN+8VTjRuSeClCnILy+kW517UA6qXViUQNET8NS/HxsaiVCodotp5eXkO0W97EhISAOjSpQvnz59n1qxZDkb3a6+9xvz58/n+++89RuSDg4MJDg52e4xAIKgf1If52l0U3quI8rB74JtvLu+YPx+mTSNWq6+V+mzwXXBNwlmaeJdWkSz6/ojT491Fza3/bT2VI4YEKW0U1e1x5gyQou7OWs2maGIIDgwgoUn9aBvrs9H91Vdf8cUXX5CSklIb4xEIBHUE65eytbcxPDiQ0gqDg2olWDyi2XmlrNpxnBcGdnQ6SQUZK/nPI6ny5y+T+vNRbD+STxezdFs2KZoYBndr6XF8NVHHFAgaEv6al1UqFddddx3fffcdQ4cOlbd/9913DB482OvzmM1mm3psgFdffZV58+bxzTff0LNnzxqNUyAQ1C/q+nztydh1F1FW68tpdvdt8JtVNPv336HqPVeb9dmetHNCglyXB9qniVeazC6PBddRc+t/W0/liJJgmysHh6tnlaaJZcJNGsat/l3eJgV+isvrrlq5PT4b3dHR0W7FTwQCQcPBWe1OoVZvUwtkT4XBRMaRfE4XOvbwDjbo+ev1YfLnnzQ9mXD3c5BdwNiUBPklGhig8Fj7Vd20KoGgoeHPeXny5Mk8+OCD9OzZk759+/Luu++Sm5vLo48+CljSvk+fPs2HH34IwLJly4iPj6dDhw6ApW/3a6+9xqRJk+RzvvLKK0yfPp01a9bQtm1bOZIeHh5uI/YmEAgaJnV5vnZn7ErZe43VKtQqpU2QAaBj3jGWbnqF8IunLBsCA6GsDFSO4mW1UZ8dqVYxf2gXpq7fQ6ZdJuLolARmfb6f1+7r5tKhYZ0mfjSv1M1Tch01t/63dVeOKEX1XTk45gzuTHG5nkYhQbw8vCvH88soKq8krnEoWw/m8dvxApakJzu0K9s8MdXhWnUVn43uuXPnMmPGDFavXo1ara6NMQkEgjqE9Uv5fIkOXaWR5SN7OG0DAZb0IWcEGSttDO5zdw3hn10uiy2FBQeSHB/Nxl2nmHpnRyauzXKbYlXdtCqBoKHhz3n5/vvvp6CggDlz5nD27Fk6d+7Ml19+SZs2bQA4e/Ysubm58vEmk4lp06aRk5NDYGAg7du35+WXX+aRRx6Rj1m+fDl6vZ57773X5lozZ85k1qxZNRqvQCCo+1yt+dob4TZ3xq6Uvbd6x3FWju7F2FW/W9Y7ZjP/L+tLntjxMU3LCjG1bEXA2jXQv7/T84DnDizVdUzojSa6x0czpqru2b5/trdZBL60KbPG+t/WVTmiFNUHXDo4Xti4V04fX/NQH0a8/ysAEwdoyMotdGvI1xd8Nrpff/11jh49SrNmzWjbti1BQbZ/KLt27fLb4AQCQd3h1EUt09bvcdsGIlUTg9lsSVHKOllEmiaGjOwCgg16lm+83ON3W9pgdj35MljV5pRVGNhzsogFw7owdf1ejylW1Z0gBIKGhr/n5QkTJjBhwgSn+1atWmXzedKkSTZRbWccP37cp+sLBIKGxdWYr72tj/Zk7FYYTPx0JB8zMH1QEgvW/MzCrxZz5+EdlAerKb9nCKEr34eYmBqNt7qOieLySps6Z3u8zSJwlwb/SpXBfDSv1MGBYf1vay9+BhDfWE3TRsFEqlUczSt16eDYXpXxCFBU7lnFPC0xlvlDu9SrMkKfje4hQ4bUwjAEAkFd5nSh1iF9CWzbQGTlFjI6JQFllYjTyswcNk5IYcG6P7jweza9T+5DF6hi0eML6flIOiurBNjA8vLUNAmX06+8SbHytk5KIGjoiHlZIBDUZa70fO1LfbQnY1eqU844ks8bp7aR/n/PA2AOCoK5cwh9djL4QVTaH5FmZ7jLInCWCeAsDb5Mb3SbfWj9byuJn0n/ti18dHCoVUqaNrosoulOxXz25v3MHty5zqvfS/hsdM+cObM2xiEQCOogxVo9eZcquFimZ2xqO7rHRzukk2/PLmDqnR0BeGJtFq/d1w2A5PgoftyVzZJ/v4C5USNOrlxLeEggbVp3thFgs38xH8svczsma6+tN3VSAkFDR8zLAoGgruNuvvZ3/25f6qPdGbspmhiyThahNBnJWjyCiIrL6xPFzz8Tet11bsfhy31V1zFRXWPdXSaAdYsybxwY3q7FPDkIQoKULE5P5vD5Sza14Vq9kZWZOYxNTaBvuxgKyyrpER8NwMxN+9zWrdclfDa6BQLB3wNnL2T7dHKJQq1eTm8KDgwgRRPD4wlB9Lk7BWV5OZdUoTwVfzenWrXnxdbwySPXc6qwHJUyAE2TcBtPaHiw+9dSmN1+T3VSAoFAIBAIrj7O5uva6N/tS320K2NXEnZ9felmji5/2PYEp05Bq1Zur1Gd+6pOIKE6xronQ/rV+7pRqjNQoqskVKX0OvvQ01rMk4PDbDbzwfYcsnKL5JTyrNwixvdvx80dm5JXUkGFwSTrCV0XH82Lgzpy7pJOfhZ1Ga+M7saNG3P48GFiY2OJjo522wP04sWLfhucQCDwHX94jF29kK3Tya1riKLVFu9lmiaGJo2CuUlZTL9bLvfhHvnASxxu0hb0Rp7fsM+m3+LGCf1oQ5h8rEoZ4FL9Mk0TS4iHlhQCwd8BMS8LBIL6Tm317/Y15VoydvMuVZB7UQtYdGnWvrSC/6xfKB9n6JdCYGaGx3TymtxXdQIJvhrrHjMBLlXw1f5zrMzMkbMXXeFLyy5PDg6lQiGv/Z5Ym8UjN7Rj5qBOzN2y36aHuHUAaM6WAyTHR7PnZFGNHDVXAq+M7jfffJNGjRrJ/+1uchcIBFcPf3mM3b2QrcUuwPLyMxjNch/FF+d9zOfvPCbvnzzwafa0uMblOewnv6JyPWOq9m23E20bldKW2VsOMKce1fAIBLWBmJcFAkFdpqbK4TXp312dlGvJ2A0LDuSFT3bR/cNlvLfjYwIwcyk8EsPS5USPGuHV9f19X948S1+MdU+ZACcuasnKLWRxejIBHuYWXaWRM0XlXq3JirV6yvVGnrolkecHdkSpUGDGzB8nimzKE8GSUl5pNDN7y36HIIx9AGhsiuX/a+KouRJ4ZXSPGjVK/u/Ro0fX1lgEAkEN8KfH2BuxC7BEnsektkUVqOC6ttEc//ZHG4P7scFT+aqD8x6KFQYTqZoYwkNsX0PhwUGkv/crS9KTmXCjhuLySocWGHpD3X6xCgS1jZiXBQJBXcVfyuE16d89Z3Bnpm/a5zAGT8JtLYvzeG/Vv1AcOUIAZor/ORbeeIPomEivr+3P+6qN9HtvxONkwzYlwWX2YYomhh3HCnj7x6Me12Tu7uOuzs3pER+F3miy+U5yXJRLZXbr4I30vZo4aq4EPtd079q1i6CgILp06QLApk2b+OCDD0hKSmLWrFmoVHXzRgWChk51PKuuvKeeXsito0NZMaon50t05F+qYFduEes37mDHW2PlY85+9Blf7QlxeY7I0CBGpyRQVmGw2R4brqJnG4tAxsiqPo3e3o9A8HdEzMsCgaCu4E/l8Or075aMuz9OFDI2NYHR/doClnVL84gQ9+uG996D554jsKgIIiNh82YiBw3yeQz+uq/aSr/3RjwOLIbtw6ntXGYfjklJkIMhp4vKyS/TO43C29+HWqVkbGoCyXFRHDxbQnxjNc0jQqgwmLilY1M6tIggOS4KtSqQlaN7yTXc1lpCcDkA1Do6FLVKiVZvrJGjprbxuTjykUce4fDhwwAcO3aM+++/H7Vazaeffspzzz3n9wEKBALv8NWzeqaonIlrs7j5jR8ZunwHN7/+I5PWZnGmqFx+ITsjRRPDtwfOM271Tp7fsI+OLSP46otf+e9HU+VjSr/8BvWQu12e45YOTWkUEkiAQkF+qZ6jF0op1uqByzU/nqjLL1aB4Eoi5mWBQFBX8CYAIOFurVGd/t3Wxp3Uumrc6p2MW72Tl7446OaLxZY67fHjoagIeveGrCyohsEN/rsvX56lL0jrLPsxSob0yswceZu20tKyKzk+ms2TUlg+sgcrRvUkOT7aRlT3eIHWZh3p6j7UKotCeVZuofxvc+ubPzFpbRYGk5mZg5Lkfenv/cLYVb/Lqe5qldLmvJJw775TxYxNdV6yWJfwOdJ9+PBhunfvDsCnn37KDTfcwJo1a9i+fTsPPPAAixYt8vMQBQKBN/jiWfXGe+pO7OIJqx7bF7P2EVmQR25UcwJDg1F8v5VmnRMBeHl4V4frDOjQhH/d0YE5dnU6t3Zsyqx7OqGrNFGiq6RVdCgTB2icejft70cg+Dsj5mWBQFBXkAIA1tHMCoOJkCAlu3ILKavwrBxe3f7d1aql/vxzGDz48ufoaMjIgBpkCPnrvmoz/V4SXztbrONYfplDGZ9EcGAAWr2R3VXRb1fp3lI/c2dReOv7GJuawAfbcxzS1X86ks+UdXu4q3MLjzXcYFmPni/RyWvSJenJ1XLUXEl8NrrNZjMmkyWc//333zOoygsUFxdHfr7zH7pAIKh9fBEO8WZiat803PJCLtGRd6mCaHUQBqOZknID4/u3Q6GAPmVnuW7McFKMBi58vB61JoGIdvHyuVpGhfLafd04mldKUVVtNuBgcKtVSu7vHc9z6/bYbE910aKsrr9YBYIriZiXBQJBXSEiJEiOZn6wPcfGSEvRxHBvj9Y2x1enTRY4L4/z2UhdsQIeeujy5yeegP/7P+9u1APVvS9raiP93hppLFkni2jaKJikFhEsHdFDTudOjo8i62QR/RNjmT+0C7M373d6HuuUdHB0cFjfh7s67Ywj+XI5gD3WNdxpmhim392Jr/adZd4XB+X1YXUcNVcSn43unj17Mm/ePG655RZ+/PFH3nrrLQBycnJo1qyZ3wcoEAi8w5NnFeBoXiklOovx6y6KLE1MkWoVl3QG5v54wMYYTtPEMrPgVzRTnwTgQNMElh0o54XeTYiwO1eziBCMJrM8rhWjejp4MV15PjOdeDer6wEXCBoqYl4WCAR1hdhwFdMHJTmd07dnFzBj0z6bKGh12py6EuV6YWBHt9+TjdTSUnj8cfjww8s7d+6E667z4U49U532X9ZUR4XdV8r0Rr7cc5aMbNusxpWje9GsUTBm4OHUBCLVKmYP7kyFwXMGJNg6OGLDVaQlxpJxJF+uw3aFu/1qVSArRvUk62QRQ5Ztt1m/xkWraVHHu9r4bHQvWrSIkSNHsnHjRl544QU0Gg0An332Gf369fP7AAUCgfe48qxq9UYmrs2ymaBSXESR4fLEVKzVM23DXoeJs+1/V6H57m35c/oD8yk+Z+SSC2EP63EVlDnWILnzfGZmF/DiwKSqOnDfPcUCQUNHzMsCgaCuEKlW0SM+imnr9zrdbx0FrY4yt7vyuDtzizwbqX/+aand/v13CAiA2bNh2jRQKh2+4298dTB4m6ZeHceF9L0p6/bYGNxgcY4oFQqH9Zz1Wq5Qq6e4vNJpSjo4RuEfv0kDZrOc8egKd/sjQgIp1OrpER8NqciBozRNjMfz1gV8Nrq7du3K3r2Of0ivvvoqyhr8YBcsWMDzzz/Pk08+Kdefmc1mZs+ezbvvvkthYSF9+vRh2bJldOrUqdrXEQgaOvae1WKtnuecTFDOamTA1nvqLA390V8+Y+qPq+TPfR/7gOJQS79gd6ri8rjySh32efJ86iqNdI+PdnuMQPB3pbbmZYFAIKgOzjLorLmkq6y2Mre78ri5Ww7w5RNpzNi0z9FIHdaFyJXvwjPPWIztpCR4+21IS6vGHfpOdVt/eUpTr0lLserUwEtruWKtnklrs7wuaRy76nc+Hn89YEkPz3DSgiytqk7bGamaGL7af86mpntxejIf/5rLiOvjKS7XA2Fu7/dq47PR7YqQENetgTzx+++/8+6779K1q61i8SuvvMIbb7zBqlWruOaaa5g3bx633norf/31F40aNarpkAWCBoM7L6e7l6p1jQw4ek/t66Me+dXW4P7+f7s5+/VJm2M8CXs4S5fy5KEUomkCge/UZF4WCAQCqF4U1Zta5GqJnuFeXEyrN1JSrncwUpvmnaRRYyuD7J57YOVKiIlxO05/4Y2DAXD5nF2lqde0pVhNhNp8EYsr0VWi1Rs5VVjOs5/uZnF6MqCwibCnaWJ5cVASAQGORnmqJobRdins27MLCFAoGJPSlolrstg8MdXtvdQFfDa6AwICUCgULvcbje69W/aUlpYycuRI3nvvPebNmydvN5vNLFq0iBdeeIFhw4YBsHr1apo1a8aaNWt45JFHnJ6voqKCiooK+XNJSYlP4xEI6huuvJwLh3dFrVJSYTCyfGQPWTnUvo47LNhSI+Osh6X1xHlbbhbTflglf/5px0HatG/F6hYt+P3ERfm8ngzkSLWKhcO78sPhCzRtFEyFwUSUWsWCoZ2ZayWIYX0vQjRNIHCNv+dlgUAgAMf1hVqlZPqgJHrER6HVG10a4d7UIh/LL5O3OVM6N5nNTsfkyaAPCw6yNVJfew3+9a/LByxaZBFMc/PO9DfuHAw7TxRSqK1k+qZ9Pkerq+u4kKipUJu3YnHSdSQldElt/LGb2hOgUGA0mfn5WAFDl28HYPrAjjw/MInjBWW0jg7lm/3nnaawZxzJ57k7rmVJejIms5lirfv7vdr4bHRv2LDB5nNlZSVZWVmsXr2a2bNn+zyAxx9/nIEDB3LLLbfYGN05OTmcO3eO2267Td4WHBzMDTfcwI4dO1wa3QsWLKjWOASC+ogrL+fOE4WcuKhl2bZsB3EM+zrusgoD41bvpH9iLEvSkzlfoqOwTE+JzkCTKvGLk3uP8NY6y9/njviujB/2IqWbjpKmKWJUSgIHzhSzOD2ZT37L9cpANoODcEdaYiwrRvVk3Oqd8tiEaJpA4Bl/z8sCgUBgv76wViS3rtd2Zhx6EwWNCNE7nNe61C2t6lh7o9NrcTGjEaKiLKJpEu++Cw8/XO1nUl3cRZTHpiYwfeNeh3Rrb6LVNW0p5g+hNm/E4qTrZJ0sIkUTw/bsAiatzeLj8dez8OtDDrpB0zbso39iLHMHd+b8pQqXmj8AJy+WM+GjXfKYvUmrv1r4bHQPtu5lV8W9995Lp06d+OSTTxg3bpzX5/r444/ZtWsXv//+u8O+c+fOATgorzZr1owTJ064POe0adOYPHmy/LmkpIS4uDivxyQQ1CdceTnHpiawZNsRj70Ords8/HQkn3MlOuZsuaxUrlYp2dDkNBXaA6y+7wma7vyZp+9+hkqlxWuZkV2ACUiOj2bV9hyvDGRXwh0ZR/LBbObj8ddzqrCcqNAg2jcNp1mESJEVCNzhz3lZ4H+qK3IkEFxN7NcX7vorOzMOPUVBJUOsa1yU0/NmuDivK4M+LTGWBUO7AHB831EaPzaOCGuD+/RpaNmy5g+mGriLKLsTkvUUrXZ2XuusgUqTmaMXSl2+c/zdJ90V0nVmbtrHmKqSxu3ZBeSX6h3+3SV+OpKPwWQmJsz9GKzLE71Nq79a+K2mu0+fPjzsg/fo5MmTPPnkk3z77bdu687sU+bMZrPbNLrg4GCCg4O9HodAUJ9x5eV09xKX6ridtXk4VVhu8wIcuPMrNF8vRWk2sXjYdL4fPMUhJUs639Jt2egq3Quigft0qIzsAkZfqpC9llsn30Az+x5kAoHAK3ydlwX+pyYiRwLB1cR+fVEd49BdFFQyxI7nl/l83pZRoSwY1oUTBVqKyi1tUPedKeZUUTnbln3MQ2+/SIS2CBMK9na+niY/fU/LaLW3t+533EWUPeEuWm1/XldZA+7eOf7oJ+4NLaNCee2+bhSU6Zl1dyeMJjMlOoPb7xRq9cQ1Vrt8dvb9wcG7tPqrhV+M7vLycpYsWULr1q09H1zFH3/8QV5eHtdZ9cQzGo389NNPLF26lL/++guwRLxbtGghH5OXlyf6jgoEVdh7OSUPZ5jK/Z92WHAgvRMas+90MUvSk+UaqthwFWqVEq3eyMYPn6b72SMA5A4bwbb2PV3WQEnq455SmcBzOpS1krk35xMIBI5UZ14W+JeaihwJBFcT+/WFpy4j1ZmvW0aFcq643OfzFmv1TF2/1+Zv64n+bTg/8Wke+WETEbpSDjZpy8R7pnA0No7+6/de1b83VxHlFE0MTSPcBwqtW7g6y5ixPq+v2QjW47sSz8b+OkeddLOxpri8krc37GXO4M4ONe+u+oND3V07+mx0R0dH20SazWYzly5dQq1W85///Mfr89x8880OLU7GjBlDhw4dmDJlCu3ataN58+Z89913JCdbVP30ej0//vgjCxcu9HXYAkGDxNrLae3hTI6Lcvs9nd5Ip5aRfLA9h0XfH5G3p1XVfLdPvY6Ei6fl7UfmvIbp37tcnk9K7/FGZdyTcId1qpBQLRcIPOOveVngX2oqciQQXE3so6ieuoyEBQdyNK/U5zKKyFD3xzhbB9j/bbUvOMm452cSufsPAN7uPYw3U0dSEWQxaOvC35sUUc67VEHuRS0AWSeL2HowT65ztkeqq/aUMSNFqisMxmqnql8N3GUASFHs7w/mYTKbGd2vLY/d0J7goADCggPZsuesU3E1qLtrR5+NbqmHtkRAQABNmjShT58+REd730e3UaNGdO7c2WZbWFgYMTEx8vannnqK+fPnk5iYSGJiIvPnz0etVjNixAhfhy0QNEisvZzWdVHJ8dEuX+JpibGEqJROa74zsgtYOvkuIi8VytvaPreZiadLSNPEOtRhw+UXo7eiG968ZEGolgsE3uKveVngX2oqciQQXE3so6jWIlj2pCXGsvNEoUeBNWdUR8xL+ttSq5R8tn05Sds2W7YHh/HcnU/w9bUpDt+pC39vkWoV+aV6xq3eKW+TAiaAzbO9tWNTZt3TiSJtJS96IbQWqVaRlVuIO+rCM7DGXQaAdRR726ELjOzThhHv/0r/xFheva8be04WOTW46/La0Weje9SoUbUxDqc899xzlJeXM2HCBAoLC+nTpw/ffvut6NEtEFgheTnPFutkD+fKzBynL/G0KjVIvcFEVm4REwdoLrfoCAyg9cMPOhjcKBQcOFPMM7dfiwmzzfmkF+Mnv+V6LbrhzUtWqJYLBN5zJedlgffUtB2PQHC1sY6illVUcm+P1szYtM9BdGvCTRrGrrIVRfa2jKI6Yl4RIUE0M5Xz69z7bLbfNWYxpyKdl6DWlb83e2ec1EJrbGoCY1MS5JpqlTKAqev3MrpfWweDW8I+el0f3znSb+x0UTnHC7QEBwaQdbLIIYotlTf8dCSfUp3higjA+Ru/Can5gx9++MHms0KhYNasWcyaNeuqjEcgqC9Eqm17XgLsP1PMlDs6AJaXekRIIN8eOM9dizNYPqKHrdiG2cy/fvqQAb98B4AxJIT2T34GWIzhEX3a8NDq33mgdzzjUtsRqFQQrQ4iKCAAVWAAr93XzaeXnL1wR1hwICplAMXlejZPTK0VEQ+BQCC4kvijHY9AcLWxr8O1F90KDFBw5+IMp1FHb1OaXa0J8i7p0FYaHVLVm54+xq+v2hrcizZl0SZPxyk3adpXE6km22Ays3J0L3blFrIyM8fhuSkUYDSZycjJ548ThaT3jnd7XuvodX1950gZAJKIrjOsyxsu6Spp3zT8igjA+ZM6ZXQLBILqExEShFql5JEb2nFnpxbM3bKfN7+zrteOZVRKWwAah6su90Y0m2lVcoHBB34E4D/3PUHfpS/xSWkFkeogm7oZ+1qhrZNvoF2T8GqN17lwR1i1ziUQCAR1jSvVjkcguJLYz91ZuYVODW4JySj01DpPOq/b+uXIEFi9mkaPPy7ve7/nYObd/DDqneecZvi5+nu7kq38nN1TSpWGztR1e3h5eFcHxXFpf4Cbjk1gG72uz+8cb0sP4fI9XykBOH8hjG6BoIEQG65i5eheHLtQyuwt+9meXWDTr7HCYEKtUrIkPRmD0ZImrjCbmPPd21x3+iCPDZlGhws5fNruNtaV61n6v2xeq6d1MwKBQFAXuFLteASCq4WnlOaI0CCvW+e5U/yf9dHPLNn9CcHvvQvApZQbuL3rKM5ENAWcp2nHhKmc/r1dyVZ+ru5JcgwsHN6VlU4Ux6XPUotXd0Jr1tTXd4639d31ee0pjG6BoAGxbFs2o1Payga3s36NaYmxPHlzIoFGA1tWPUmH/BOYUNDy0gU+7XobYJm8MqpZN3MlvccCgUBQ16lv0RiBwBc8pTSHBQfy7Ke7vWqd50rxv9P5o0x9dyGqkvPQpAk8+SR5Yydy5v8ybY6zzsjbOvkG2jd1zMS70q383HUx2J5dwIsDk5wa1NL+h1PbMSYlQf4s4W4dVl/fOdYOg6JyPRWVJnYcK5CzLetDxN4dPhvd5eXlmM1m1GpLk/kTJ06wYcMGkpKSuO222/w+QIFA4BzJuC2tqCRKraJcbyQjO5/0Ppb6H1f9GjOO5DPtxrZkvzZE3jZ50GS+uaaf/DlKbfFc+1o3cyW9xwKBwIKYlwUCwdXCU0pzqc7gdes8e5ExhdnE56ufpsv5owDoW7ZC9dmn0LcvsVp9teqXr3QrP89dDAxu92srjTz76W45gg8Q31hN00bB9db4dIe1w6BYq6dZRAi3dGhabyL27vDZ6B48eDDDhg3j0UcfpaioiD59+hAUFER+fj5vvPEGjz32WG2MUyAQWCEZt3+cKGRxejKvfPMXI/u0AS6LTSTHRTnt1xiq15GkaS5/3twhjY2dbpI/p2hiMBjNgG91M1faeywQCCyIeVkgEFxN3KU0+9LGyjpVvU3hGX58d7z8+dvE60nc/AkJ11oCC9WtX77Srfw8pt+HuDfFggMD5Ai+dG8t/kZBDJPZTKXJTIXBSFG55d+mvq4lfTa6d+3axZtvvgnAZ599RrNmzcjKymLdunXMmDFDTO4CQS1jbdxOHKCRo9mSBzTrZBFpmhi5vYI1jSrK2LvofvnztrTBTOr3sPxZqp0p1lb6XDdzpb3HAoHAgpiXBQLB1caVc96XNlZSqnqnf7/FlB9Xy9uPRbfkP8+9yZK45jbfrU79srvxqFVKotUqjuaVeiyR81RKJ+03ms2kJcY6XR/1T4wlOsx9er6mSTgbJ/RrEJFeXzhTVM6Uz/aQkX35uaRpYpk+KIm8SxX1MtLvs9Gt1WrlPtnffvstw4YNIyAggOuvv54TJ074fYACgcAWa+PWOpq970wx84d2pnlkKDckNkGtUjJxgEZuSRFSqWP9v5+Vz/Pt7SPYM3kGK6pE1qTeiGt+PcGtSc19rpu50t5jgUBgQczLAoGgruJLG6vIIAWrJ96IQqeTtz13xxOcu3dEjeuXJSO4uFzP2of7sP1ogU3LLrVKycrRvXhx4z4bQ89ZiZynUjrr/ZK+jtlsJtNJTXaziBC3EfsWUaG08bKzizNHAFDvdHaKtXoHgxsgIzuf2Vv2kxwfzZ6TRfWudNFno1uj0bBx40aGDh3KN998w9NPPw1AXl4eERERfh+gQCCwxdq4laLZapWSLq0i+SAzhwyrl3pqVcuJf334C299OovEgpMAbBz8MG2XvMLubw45iKzNHdyZaHWQzy9lX7zZAoHAf4h5WSAQ1FW8TgP/809ITsa6Qda+3/bzSJv4Gkd4nRnJ0vpIEumaPiiJZduyHQw9+xI5T6V0r97XzWa/tar6hBs1hAQpiQy1jVr7Q3Hc2T2mJcby+E0axq76XXYu+KqzczXEcfNL9Q7/DhJSZufSbdn1rnTRZ6N7xowZjBgxgqeffpoBAwbQt29fwOJdT05O9vsABQKBLZJxq1YpaR0dyopRPWkcpuKNb/+yMbgBMrMLCNWWMi2qkOPRLel0/ihvPr2IwY//g4lrdrFsZA9GX6oAai7M4Ys3WyAQ+A8xL/99EN0hBPWRllGhvHpfNwrL9JToDESEBhKtVtEsIsRywOTJUFUiA8CAAbB1K539cG1XRnJmdgEKhYJNj6cQoFBgMpuZtn6v03NIJXIAZ4t1bkvpCsscS+2kmuyl27JdqqrXRHHc1T1mHMnHZDYzNjVBDrD4orPjypBfMLQLrRurqzVWb/CUOSkFnOpb6aLPRve9995LamoqZ8+epVu3bvL2m2++maFDh/p1cAKBwJHYcBW3dmzK/b3jeeXrQ2RmF7BiVE8HgxsgsvwSExc8TZeC4/yxaCV7E2ahVjbm/7Ye5pV7u/K/v/L443ihX4Q5qitqIhAIaoaYl/8eiO4QgvqKq9/uK7e3o3lcU5tjyz75lLB/3Ou3a7vTm8k4kk+AQkH7puE2gm9qlZKxqQkkV5XfhQQpMZhMPPPpbob1aO32eiUe1Mhro9TOU1sySfNHwhtj1Z0hP3X9HhYO70qr6NoxvD1lTkqCwVC/Sher1ae7efPmlJaW8t1339G/f39CQ0Pp1asXCoXC85cFAkGNiFSrmHVPJ55bt0duB+ZMNC3xwgm+W/m4ZX90DDN2FnIw9yJwEYBKo5l5Qzozum9bvxnE/kiREggEviPm5YaN6A4hqK+4+u0G/PgDzR+63mZb1yc/pvulOF4uKidMpfRLVoe3ejPWWYSL05P5YHuObfmdJpZRKW0J9PBO9aRG7mupnTfZLd5Ghq3xZKy6M+Qzsws4UaAlPDiwxu8dZ/cXG65yKT6Xookh62SR/Lk+lS76bHQXFBTwj3/8g//9738oFAqOHDlCu3bteOihh4iKiuL111+vjXEKBAIrdJUmm/7b1l4/gM7nstmy+in5c9bq9RzcfsnmmIwj+ZRXGokK9e8LqyYpUgKBwHfEvNzwEd0hBFeC2ihfcPbbXbJpIXcfypA/f96xP0/c8xxg+T1PWbeHu7q0sEn39iWrw/o+Qu1EZe2RjDapRK5Hm2hWVXWFsSYjOx8TZsamJJCiiXHYL43Rkxq5L6V23ma3+BIZlvBkrHoy5IvKK2v83nF1fy8N6cykAYlgxqa2W+qw88TaLPnY+lS66Piv4IGnn36aoKAgcnNzUasvpxXcf//9fP31134dnEAgcI79yzDrZBEpmhgAepw6aGNwv/LE62QGN3N6nmMXypi0NoszReW1NlaBQFC7iHm54SO6QwhqmzNF5Uxcm8XNb/zI0OU7uPn1H6u1PijW6jmaV0pWbiFHL5RSXK6X90XoSjm+cJCNwX1/+gLZ4JbIOJJP00bBNtukrI5irR532N/HHYsy+DO3kMXpyahVSptj0xJjCVQqKNZajMeFw7tya8dmNirj1myvqgMfU2V4W2OvRt4/Mdbpfm+NVE/ZLdbPQXIYOMM+MiyNxZOx6o0hX5P3jrv7m7ZhLz8fy+e6ttGse6wvnz7alzUP9SE5PloWvquPpYs+R7q//fZbvvnmG1q3tq1pSExMFK1JBIIrhP3LcGVmDovTk9Ec3cvsj/4lb5//zDJ6jxsuewXtCQ4MEOmJAkE9R8zLDR/RHUJQm/irfOF0oZYTBVqKyisJCVKy9VAeKe0txunth3fwzob5Nsd//dtRHmkUTq/cQodItLOUaFdZHcVaPUXaSsorjZwuKmdMSgLd4qLkc0pGtLWgWIomhlH92nLn/2XQs000Lw/vSphKyYGzOofrWqOrNPLsp7sZm5rA2JQEKgwm2sWG0SIyxK9q5AVlerrFRTG6X1u5rnxX1XOyfw6uNHWs1cslvDVWvUnxHtq9ldf3Y09+qZ4/ThQycYDGpnZeuscxKQmMW72TRd8fsamx/3Bsb6LVqnpZuuiz0V1WVmbjSZfIz88nODjYyTcEAoG/sVcK1+qNvLFkM//95AX5mN/XbKFP95589OsJpylV1t5PkZ4oENRfxLzc8BHdIQS1SU3LFySjd/aW/SS1jCQ5LgpdpZF+7WOIDVex+Yt5dNn3i3z8trTBjO33MKw7CFjWI9btu8B5SjQ4ZnWcLSrnxEUtS7YdsUn5tj9nZnYBLw5MIjkuCrBkCEr7JOfC9EFJHp9VcGCArEYOlr8/Z06JmpbamYGs3EKbunLre7J/Dq4MfYDNE1N9Nv4j1SoWDO3C1PV7bCL/Uor3J7/lEpua4OYM7jGZzXzyyPXklVSgUCg4cLaElZk5JMdHsTg9GYPJLB9r/bw3TujnVP29PuCz0d2/f38+/PBD5s6dC4BCocBkMvHqq69y0003+X2AAkF9prbau0SqVcwb0pnnN+wlM7uAQKOBt9e8SHjxBcoSNIy4dTK7d4P6YBaL05OpMNjWgKdpYnn29msZt/qy91OkJwoE9RMxLzd8RHcIgTtqutaoSfmCZPRiNjPljg7M23JANpCaXcrn1+WjbY6fNuND1lY0dlAIV6uULElPZtLaLJLjoxxSoiWsszqKtXp+OHyBLXvOONRYb3cS3S6tMDBu9U75GHVVvbc0hkqjJbruqmY7TRNL4zAVK0f3YlduIX+dLWHO4M5+//sr1uqZtWmf23tylt3iytCv7vhaN1azcHhXOXshODCArJNFfPJbbo3u+0xROXM277fpumPtUIAcptzRwel363NWj89G96uvvsqNN97Izp070ev1PPfcc+zfv5+LFy+yffv22hijQFAvqc32LsVaPXO2HKB7fDSTGpfR/JN/o/u/JeS/Op/Bt0/hdFAjwOIdnLpuD/8e14fCMr3NS/P/th7m5eFdZU9vfX6RCQR/Z8S8/PdAdIcQOMMfaw1P5QshKqVc92xNsVbPiYta3v/pKOl92mA060nv04Yxqe2IeGEKPdevko81RkVzZE82a5f97FYhfOXoXgQoYPQHv2OPfVZHfqmepo2CnRrIYDFSp97ZEbCU4VnXdLsaw4AOTZgxqBNztux3iJxPvzuJIcu2o9Ub5X7VNW236oz8Ur3TNrDSPT1+o+aKZbe0ilYTHhwov3eGdm9FbGpCzXuKe3CS6J2UF9T3rB6fje6kpCT27NnDW2+9hVKppKysjGHDhvH444/TokWL2hijQFDvqO32Lvmler4/mMfF73/k4U9nEVlRxlsFMODbH0j48iCnrV5mz9x6DfO/OOD0BV5hMDE2NYE9J4vq9YtMIPg7I+blhoeryKXoDiGwxtlaQ61S0jUuiuP5ZZwrLidSrXIa+bb+jTUOU3Frx6Zc2yLCob72wJlituw5y56TRQ6GfJG2knd/OsqIPm1YtT2HjOwCFGYTP73zMHHF5+XjXrpxLMPWvElZhaWH9djUBD5woRCuUMCCYV3o2SbaY1ZHia7Sae23NScvasnKLWTl6F6Eqy6bPa7GsO3QBcv+lMs128GBAZwv0fHVvrNy+nvGkXye37C3VvRwPGUeBAcF1Mp74Eq8d7ztKW7/DBpCVk+1+3TPnj3b32MRCOoE/kgJ92d7F2fjKa2o5NFfPmPqj6sA2NmqI5WPT2Tht3/RPT6aMVYTRWRoEBkb9jk9t+QxHdk7vl6/yASCvztiXm441GaWlKBhYb/WcBW9tf/9nC0q54fDF2jaKJgKg4lL5Qaev6sj0zfts/leqiaG6YM6MfL9X8gv1TsEDcr0BpJaRsrGa6fzR/li1ZM2Y1z11ibeO67k+qJy+frJcVE217HmpyP56CpNclZHWUUlkaEq9EYT50p0aCuNxIZZrh8apHRZ+y0RHBjA9uwCAhQKXruvm6yN4G4M2w5dYGSfNnIqulTHPO+Lgw5jrQ09HE+ZB1Gh/l+vXan3jrc9xeOi1WydfEODyurx2ej+6aef3O7v379/tQcjEFxt/PXS8bY+ypOB72o8iw+slw1ugH/+Yw5LOsTxxuqdspdWYvnIHm7HEhKkrJX0KIFAcGUQ83LDobazpAQNC/u1hqvorfXvB+DERa1NHfTEARreySh0+F5mdgFztuzngd7xLN2WzU9H8ikos7Sqyi/VU1ph4I5OzQHoueYdnv7fKvm7R2LiuHXcclbc0AuOW4zXP3MLSdPEeIxOX9TqQWEREAxVKR3+JiRV7l+OFdC0UbDLGmxrwdiMI/mU6gyyNoKnMTQKCWLtw9cTGRrE2WLLWsyZKG1t6OFcaeHEK/ne8eRQUAcpWTCsC4Df9ZCuNj4b3TfeeKPDNoVCIf+30ej4gxQI6gP+fOl4eqlEhAZ5NPBdjefGt+YT9cfn8ue+z3yCNjDU5QTiyQscGSpquQWC+oyYlxsO/sySEjR87NcaniLI+aV6AgMUDkrf7r5nXRf98W+5mIGJa7Pk32mg0cChN+8l0GiQv/OvO5/k0663ApbIpWT8rszMYeOEFPJLK9zeV0hQADe//iMLhnXhyz1nyci2/ZvIOJKPyWymd0JjWkSGMvEmjTxWCSk6bd0y9ZKukvZNw1mSnszZYvetwS7pKm0i3dYaONb4Qw/HWQDmSgonXsn3jjuHwoAOTWgaEcyKzBymrd8rb28omT4+G92FhYU2nysrK8nKymL69Om89NJLfhuYQHCl8edLJzZcxYJhXeTULevegz3bRBMWHMizn+52a+A7G8/wvVsZa2Vw//DbEd5r2YTvD55HHaTEGVkni1x6geu7KIVAIBDzckOiJirSgr8f9gaMp+htcXklIUEBDusBX+qiZ23aJ2vEdD6XzZbVT9kc2+vxf3MhPFr+HBkaJBu/Wr2RnIIyEmLDSNPEOhjTYDFwDUZLu6imjYKdHgOX638fX7OLR25ox5Q7OhAYEMDxgjJZMNbeSJYMZGkt58r4s46QS9cCWyV06fs1XUO5CsAsHN71igknXsn3jrue4rPu7sQLG/Y5/Js3lEwfn43uyMhIh2233norwcHBPP300/zxxx9+GZhAcKXx50unTG908M6maGJYOboXbRurKdUZyDiS79AyQzLOC8r0DuMZeDCDl79eLH/u+PRnlK/7C/iLtMRYBndryarRvTCBbOBr9UZWZuawcnQvlAqFaDUjEDRAxLzccPCUJSW6TDRsfNWUsTdgPGW2qVVKyvQGmzZZIUFKIkLcmwMhQUq2ZxdwSWeQDe6Z37/DmD82y8dktOmO/quvuWDVkitNE4uu0mhj/AYGKDhTWM6olLaYMDuNTpeUG1CrlDQOU7FiVE+b9dHHv+XyQO94kuOiUKsCWTqiB7tyC3ng3V8Ym5rA7pNFTgMo9gayK+PPWYQcbEW+pPPVdA3lLsNySpWReSV6Ul/p946zTgzhIYEUavUunSwNIdOnWkJqzmjSpAl//fWXv04nEFxx/PXSudwOwfbFIQl5LE1P5myJjthwS6/HSzoDxeWVhKkCMZhM9GsfQ0GZnkYhgUwcoGFlZg6KS5cY/cdmgkxGMq+/g1Fpj2EMuBzZzjiSz4ub9pEcH83Sbdk2/Q57tommbWO1aDUjEPzNEPNy/eNK13IK6g7V1ZSxNmAMJpPbCLIyQEHjMBVZuYU2Edv5Qzu7/F6qJobYcBVqlZLi8kpC9ToOvnmvzTHjhk9nq6YPy60i5mmaWF4c1JFzxRWMTU1gZWYOPaz6bx84U0xyfLSNQnjWySLW/nqCp2+9hqUjknnj278cejl/9ND1LPz6oM34pTXP1HV7+OzRfszYtM+rIIO98acKDODLfeecppGDpTRw44R+fltD1ZVykqvx3rFWRD9TVM6zn+4mvXe82+/U90wfn43uPXv22Hw2m82cPXuWl19+mW7duvltYALBlcZfLx13L9GMI/mcK9ERGRrE+6N6sfDrQ2zPLrBRHLX2+qZqYvgscD+NVyxg/NAXeCP6Av9UXY8pwDGV3NoLKxn4Xz2RRpQ6SH6xCSNbIGh4iHm54eAq+iYykxo2NdWUkfY9898/nUaQUzUx/Ov2DgQHBvDChn0O6eXzvjjIylG9ALODkTs6JYFF3x9mbGoCzX/fzsE377P5bpenPuFScBgAcY3VfDz+ekwmMzuOFTB0+Q60eiMpmhhWjOpJbKNgXv7yID8fu8iah6/ntW8OORjPY1ISOHCmhM93nyHTSS/nuVv20z0+2kY0VrqfZ267lmh1EEvSk8m7VEFxeSVqlZKw4ECbHt3Wz906syBQoZCzBJ3RWK3ya+S5rpSTXM33jvVvf3S/tm6Pre+ZPj4b3d27d0ehUGA2m222X3/99axcudJvAxMIrjT+eul4eomeKiynY4sIZm7aZ1Mn5Exx9J7F00na+z0AN2f/zuG3X8f00S6X57auy8o4ko/BZBaLNIGggSPm5YaFs9RLkZnUsPFHxDO/VM/3hy7w56liFg7vytQ7O1CqMxIeEkheiY5Kg4HyygAysp2Xtv2SU8CswZ04UVCOrtLoUBe9bPp9hJ7Kla+3rvMAnhk4Wf6cponhwiUdKzId1zJSIGDekE7MH9aVUp0BvdHo0OJUut6S9GQHg1siM7uAMVZp3tbXmDEoiUi1ijNF5czZcsBt1sCpi1qmrd9j42TonxjLytG9GLvqdwfDuzYivnWpnKS23zuuSiesf/sNXYPIZ6M7JyfH5nNAQABNmjQhJCTEb4MSCK4W1X3pWL9MQp14U+0p0VXavOidKYf+vvT/0aSsCIALj0wkccI04hq7V260r+eq76k4AoHAM2JebnhYp15K+FrvK6g/VDfiaf2bCA4M4OlbE+nSKtLB8E3RxDBvSGdy8stc9vJO0cRwV+cW7D1dxJvfHZG3R5Zf4vjidJvrzp3yNitobfPdCTclEhGqdGowgSUQcLpQR9vYMNo3DXdIcbfGk7Cbq/3leqNXWQOlFQamrN/jtLWaGZg+KMlBPbs2Ir51rZzE2XvHH7grnSituPzbXpmZw+Kqtnbb7ZwhDSHTx2eju02bNrUxDoGgzuDrS8f+ZTJxgMZtTVXWySIH76X9BPLXa0MItmq/8fuEaUxYk8XEARqv+lFK1PdUHIFA4BkxLzd8qlvv+3ehvjskqhPxdPabmD+0Mx+4iDTP2LSfp25JdJlZZ0ndPsC/7rhWNrpvO/wz726w7YCwY+cxGhVW8pkmFoPJTFiwEnVQIF/vP0uH5hFu7yMgQMHBsyWUVRgID3ZtgngShItrrJY1b+zVyT1lDRRpKzldVO7WOTBjUBJbJ99QrYhvsVZPQZkeg8mMyWxGW2EgUq1y+pv8O5STeHKCzB3cWd6m1VtE98amJsi1/gmxYbSMDGkQz8Iro3vx4sWeD6riiSeeqPZgBIL6gjTBG81m5m7ebxO1lvpQzt6y32XPyEFdWticT55gzGaOv3K3vF0bFEzS5HWsqGoH5soL6ExtsyGk4ggEAueIefnvgzeRO6BeG501oSE4JKSI584ThQ5p3+erhFetcfWbaBYRYrMesU8jD1MFckuHZi4jzBnZ+UxVdGDiTe25+aFhJJ86KO87Pu5x7mo5iKVhYXRWm3nz+8PyOkStUjJ9YEdaRIWyfGQPmzap1kaxrtIoBweaNAomLTHWqYGcV6JzuS9FE8M3+8+RlVsoC8Zq9UbSqtY85y9VOCier8y0ZAONTU1AW2mkqNx9ZkGJrpLr2jR2e4wzzhSVM2PTPh7oHe/g2HD1m2zo5SSenCB6o8km2q/VG+XfZ4omhkFdW9IysvkVG29t4pXR/eabb3p1MoVCISZ3QYPHeoJfMaqnzQQHlhfGV/vPMrBLCx5ObUekOohApYLCskqMJjPTByURHabi1o5NubZFBMlxUTQOU5HWPobb3porn+dseAx9H19NqlUE29oL+PiNGkKClIQFK9mVa9uPsiF5SQUCgSNiXv774G7RuvNEIYXaSqZv2levjc7qUlMBMn+NoaYOj0i1ioXDu3LiopYl247YGMVpibH0bRcjHweufxPWWXOu0shXjOrpdiyVBw7y7B19bbb9vOkHxu0sJzk+CrPZbGNQWl9n2oZ98rYXB3bkk0eu51RhOcGBSs4XlxPXOJT3M46xdFu2/D2z2WxTv52WGEv3+ChaRIViMjtvKWa93hmbmkBWbiGz7+mEVm90CISkaGJYOiIZBQrezzxGUosIj5H0ikoTxVrflMOl32K3uCinmQTufpO1ldZdF/BUOlFWYWDO4M68sHGvy3/r3m0bN4jn45XRbV8vJhD8XbGf4F3VFb3z4zGWjehBiErJa9/+JSuUj01NILV9DCU6PS8MTOKFjXtZui2b2LAgvsv5jOisLwH4rXUS/xj5CqmaGOYO6cIrX1/2Nmv1RvacLGJk73haVC2omkeE0Ltt4wbpJRUIBI6Iefnvg7tF69jUBKZv3Ovg/L2SRufV5Gq3XPJXlL1Yq0dvMLFs2xEHYy3jSD7TN+5l2l0dOZJXSnSYCqPZjFqldBD7sjYmXaWRu2Nk1pd0X7hc/myIjOT/1m5nxc8nua5NNKP6tUWpUNic0/461kb481VGOFhaiPVKaMyu3CLAspaZum4PK0f34rGq1qmSmNqr3/zFg9e3pVfbxky9swMnL5Y7CLuBJeNv6p0dAAhUKHhu3R6Hv4Xt2QUEAHd2aSF3eck6WeS2DHDHsQKaRfiW0iz9Fkf3a+syk6Ah9Jr2FW9KJ4rL9Q7t4/adKWbf6WKWpCdTUKaHC6X1PoPHb326BYKGir1IWre4KP44UYhWb3TpLdXqjew+VcQfxy/atARb8+sJusdFcSynkC/2nrVMBiYjUwPO8m1ZCP9QKDg453XyBz/AiqoJZu6W/Yzs04YHr29LcFAAUaEqB6O6IXtJBQKB4O+Mu0WrMxFOieou8OtTffTVbLnkbZTd0/OUDPfR/do6GIwSGdkFjC7WMW71TsASDbZOrZawVn929dtwphAdYDKy460xNC+9KG9b2/U2un71CQMMZu7o2prySiOXdAYi1UE2Br/9dVwZ+xnZ+cz+fD9jUxPk4x/oHS+3TrWnwmAiOT6akxfLmeCma8vJi+XsOVnE4G4tXbdrzS5gdJXiedbJIg6cKebFQR2Zs+WAy+jqLR2aurymM6TfoicRuL+bwK23YnHSb0KtUjK+fztu7tiUvJIKFAoFPx25wMrMHHq2ia7XGTzVMrpPnTrF559/Tm5uLnq93mbfG2+84ZeBCQR1AWde7BRNjDzZuWtv0LttYxZ9bxEjkSah5PhoPtiew9iUBLZnF6A0GXn9izcYcuBHZtzyCLePWcLh0rZgN8E8fes1hAQqSWzWqFbvVyAQ1E/EvNxwcbdo9YSvC/z6Vh/tzCFhXcdcaTJztJYiZM6i7NbXzr5QSuMwFTM27nNoSyU9T2vDPb13vNvr2bcENZvNNgYsWHRfVo7uRYBC4dL4k7RhAhQKMo7k067gFNvef9TmmNRH3udi01ZsCAhg/re2hmmaxtbgt7+OO0eQtfEL0DM+GkCOcFrXYEtRaU9EhQaxcHhXzpXoAMu/wSM3tOOmay1Gs1ZvJEgZQGCAArVKyce/5bJydC8MRjOP9G/PtDs7Umk0UaytZGduoXxfzsTr3DlQpN+ip9T1uiZwW5tONuncT9ycyGM3tmf70QK5zt++DFLSNFicnsyq7Tny+hls1931OYPHZ6N769at3HPPPSQkJPDXX3/RuXNnjh8/jtlspkePHrUxRoHgquDKi23dW3tlZg7LRvRgYJcWNIsIsRE+CQ26/OJNjotiZWYOT99yDUu3ZTOyTxtC9ToOvnkvAKbAQC6ERXO4SVunYzlVWM41TYXBLRAIHBHzcsPGncJx62j3hrAvC/y6UB/tK/YOCVd1zO4cB9U1Ouyj7PbXnjhAQ1ZuodvaXmvD3ZOxZr8/M7uAiTdpAGShtGh1EK2jQhma3Mpli1FJG+azR/vy2qFXaPb+fHlfgTqS6yb+BxQKJqYmMM8uEgyWiLWZywZ/SJBtm1Rv232pVUpaRIWQlVno0LpMMrAqDCYOnC1xGdxIS4ylfdNwmkWEoNUbUauUltK+oACHCHpaYixvjeyB0Wx23KeJ5Znbr+Xj33Jlg9BevM6TQ0r6LdanXtO16WRzdu60xFg2T0pFAcSEWZ7D0bxSSnSVvDgwiYtaPUuclFhYr7uXbsuutyn6Phvd06ZN45lnnmHOnDk0atSIdevW0bRpU0aOHMkdd9xRG2MUCK4K7mrFrD2wZsx8ufcsmVZ12/3axWA0wweje/FHbiFmYHF6MsVVipnq8lLZ4AbYu2gFX52McTmW+Gh1nXpRCwSCuoOYlxs+rhSOAb/1+b3a9dHVwd4h4Sq12ZXjwFujw6lhHmrr0LC/tjep/9aGuztjzVlLULVKSZNGIey263edlhjLqH5t2XYoz+X5erUM49r4WJRWrUmfHjiZDZ0HyJ/7touxOa+9EnqbxmoAAoBUTYwshmZvhNsj7R/rwqi3NrCCAwPkyLwCbATXpEhps4gQwOKAmT4oibPF5XL5njUZR/K5q3Nz5/uqHAkrR/diydYjzBnc2eZ3cr5Ex/H8MtJ7xzMmJUGOxtv/rl4e3pWZm/Yxpmp9WJd7Tdemk83VuTOOWEoMlqQnU6Y3Ohyz5qE+LjUIrNfd9TVF32ej++DBg6xdu9by5cBAysvLCQ8PZ86cOQwePJjHHnvM74MUCK4GnmrFKgwmxqYmsKIqDcqVhz1FE8Ow5FbM++IAI/u0Iaq8hBv7XCPvf6/XEIoT+5AWXOi0nitFE8Oe08UeIxoCgeDviZiX/x640u7wV5/fq1kfXROsHRIVBqPXNe7eGh2uDPP5Q7twa8emfHcwD3A0sr2p7bVOj/elJShYjNJZn+9zWDdkHMnHZDbTq21jp8bfP5V5zHlskM13Hnv9C77KM9tcU6lQyJ9drW/SEmMZntyKcantMFddx2w22xjh1qRqYlCrLBF7d06J7dkFTLhRw8/HCtDqjXzyWy4Lh3dFV2lyKRgbqVbRIz6KU4Wue3A3jQhxOi6wGPQTdAbmDe0iG/JQ5Zj5bLeDIroUjbf+XYWplMwYlESp3shTN1/D9IGBBCgUBCoVxNQxbYTadLJ5OnfepQrmbDngcIynVm7S31RdS9H3Fp+N7rCwMCoqKgBo2bIlR48epVOnTgDk5/tebyQQ1FU8KS62axJG2xi1PGm48rBvzy5g5uf76RYXxYGDufy5eIS8b93d43gpaShqL3p7N5SWCQKBwL+Iefnvjb/6/HqjMlxXkRwSWbmFbo+zdhx4Y3QALg3z5zfsZcGwLlQYTPx0JN/ByPamtjc8JFDuR23dElSK6DWNCGbfqRIHwTSAfnaRaGukqOAkq/NVGEx0mzuFVp/++/Lz6D+A399ZS3qAgicaBaOrNMq1zdrKy9dzKY52JJ8Zm/ZxXdvGsvp0s4hgRqckyEa4RIomhtEpCUSpVXz2aF8qjWbcERwYwB1JTbmvR2v0RhPnS3SogwNRBwdi5Q+wwVmNuTWeHCFF5ZWU6gw0i7B8lh0zHtKdC7V6TuSXcbZYx5L/HXFIa184vCtwOZXaX7XTNanHrk0nm6dzF5dXOv3b86bEoq6l6PuCz0b39ddfz/bt20lKSmLgwIE888wz7N27l/Xr13P99dfXxhgFgqtCeEigW29tdJUHXMKteMiRfKb2a07L9JHytv+7/SEqJz7LirgowPKSsm+ZYN0eo65GGQQCwdXF3/Py8uXLefXVVzl79iydOnVi0aJFpKWlOT02MzOTKVOmcOjQIbRaLW3atOGRRx7h6aeftjlu3bp1TJ8+naNHj9K+fXteeuklhg4dWq37FTjijw4W3qoM12V8cRx4a3S4M8x1lSabKLs17tLF0xJjCQkKYM7m/Txz27VgtqQ4a/VGVmbmMH1gR7rFRVNWYaBrXCQvDuzIvC8OyoZ3iiYGZYALy7OKCoMJrd4S+bfWkJE4/e//MlUXR8aq3+VtkqN/ZWYOpEKaJoYMN0roYBFHG5PajrFV51k+sgfPfrrbxti3Xs+sGNULMBMd5v73FK1WEapSOhWzHZOSwIIvDzJ7cGebMoCIkCAulumdnQ7wzqjz1jFjne6sCgxg+9F8l2ntU9bt4a4uLZi2fq+8vaa10zWtx65NJ5unc6tVzksQPJVY5F2qqFMp+r7itdF94cIFmjRpwhtvvEFpaSkAs2bNorS0lE8++QSNRsObb75ZawMVCK4kxVo9hVo9E29KZMJNGnZYKS5K3tqyCoPNi8WTBzX2sYeJ3v0HRSHhfDBuOgNffIycgjIA2saEUWkyuZzUoG5HGQQCwZWnNublTz75hKeeeorly5eTkpLCO++8w5133smBAweIj3dUVw4LC2PixIl07dqVsLAwMjMzeeSRRwgLC2P8+PEA/Pzzz9x///3MnTuXoUOHsmHDBv7xj3+QmZlJnz59av4gBH7BnWBbfVno+uI48Mbo8CZiBxYDvnGY7bVdpYunamJ4aWgX5n95kKE9WrN462G6xUcxOqUtBpOZdrFhzNm8n2k2Pa5j2DghhZyCMgIDFGSdLKLMLvJtj1RzftehTJZvetlm37qvd7H+ZIXbeuqVVhl4ntY34SolT92SSJdWkTRpFCwb+87Q6g2MW72TBUM7y1F+e/onxhIeEsizn+52KWabHB/tUHscG67it+MXXRpueSU6l9eU6uaHdm8lb3P3769WKWkcpuKjh/qgqzTStXUUZ4p1ZOUWOWQlSP27ralJ7bQ/6rFr08nm6dxhKufmp72yvkRaYixzB3cmWh1UL95DrlCYzWb3+R1VqFQq7rnnHsaNG8cdd9yBwlVuRx2jpKSEyMhIiouLiYiIuNrDEdQDnCouamJ5cVBHzhbp2FkloLHmoT4kxIYxqaqmZ8WonnIPTWsaa4t57sfVtH/+KSIff5Qn73mWg03bkaKJITk+mo9wObgAAJqKSURBVD0ni1hSNTFL57Knf2JsnVSOFQgE1aem81NtzMt9+vShR48evPXWW/K2jh07MmTIEBYsWODVOYYNG0ZYWBj//rcljfX++++npKSEr776Sj7mjjvuIDo6Wq5Ft6eiokJOmQfLs4qLixNz+RVASlmtSar61eRMUblTx8Erw7sSqlLK6bjhwYHsPFHI3C0HHIwkac7Nu1TBrW/+5PJaax7qw4j3fwUsRtjK0b1Y9r9sef2gVimZPjCJ7vFRlJRXEhyoJCYsCKPJzGdZpx3UzV0pngPymkEyZicO0LA717UWzNiUBLo8OY6m330hb8+/bwS7Z79B04gQ7l6S6fK+Pnu0L8XllmeUkZ3P7Z2acfeS7S6P/2JSKi9/dZCM7AKv70GtUvLB6F4stXpeYDGwZt/TiUqTidvfzHB5TWnNtXXyDbRvGi5vP1tUzomLWgcV7DRNLA+lJRAVpuLVrw/ZZDFK0fNPfsvltfu6yb/3E/llZF8odWhnBhZx3NXbcxxqvaWSQPvf1PKRPZz2G7cfvzcczSvl5jd+dLnf23O6+ltZOLwrLWpBvTxFE8OkAYnER4cydf1ep+vdWzs2Zd7QLpTqDPXmHeTtXO51pHv16tV88MEH3H333TRv3pwxY8YwevRo2rdv75cBCwR1AZeKi9n5zNlywGbCaxQSZBMZcJYW0+xSPv/5ZDqJBSf5a1kAd4xdginAklazPbuAx2/UMLJ3vPwyqe9RBoFAcOXw97ys1+v5448/mDp1qs322267jR07dnh1jqysLHbs2MG8efPkbT///LNDuvntt9/OokWLXJ5nwYIFzJ492/vBC/yGP1LVryTO6lqd1biX6Y1MXJvlYOCtHN2Lsat+l40kyUAv0xvZeaLQZdQ0VRPDjmOXt2v1Rsau+p3pg5J4YWBHSrSVVJrM/HysgLlvWQz7Wzo04dnbOwBwW1Izh2iwJ3Ex677VK11owaQlxjKlVxM6JzW3+f7iR1/ijchusHonb/0/960Ei8srGbd6JytG9ZTHk6aJJSPb0UhK08Sw+1SRbHz6Igin1Ru5q3NzRvdrK6ehF5RWUFZhBMwsH9nDxti1NmSl6Lt96V2LqFDUKiXzh3ShTG+grMKIQgGZ2fk89tEu2TnymM5AcXmlnPr+yW+5NqrlZ4rKeXHjPpt7lgTU9p0udqnhAzj0TwfXqe3F5ZU+13r7qx7bX3oQzghTKbmrSwubf9usk0WMXfU7Ke1jmD+0C89v2Ouw3p0zuDPNIkLkuvqGhNdGd3p6Ounp6Zw8eZKVK1eyevVq5s+fT//+/XnooYcYPnw4ISEhnk8kENRhvK3fsU69kV5aBWV6hia3Ytbn+8k4kk+PUwdZ/9G/ANA1b8lTXe6VDW6JkCCljTfR2xdgTcQzBAJBw8Df83J+fj5Go5FmzZrZbG/WrBnnzp1z+93WrVtz4cIFDAYDs2bN4qGHHpL3nTt3zudzTps2jcmTJ8ufpUi3QGCNu7pW60ifuxZGCuCrJ9Io1OptWrFNXJvFHycKnRqQUlsue0Vxrd7ItPV7+fqpNCpNZorLK+kRHw2p8PFvuTzQpw1zv7C0yVo+0tHw9bbHNUByfBTfHTzHlDs6cMnKgNT+Zy2dH7J1cn384yE6NYliucFEaJCSuMYWw9Q+GmuPFExYmZnDhgn9mGPX4itFE8P0uzsxZNnlKLi9IFyjkCAu6SptNGrAYpi+n3nM5nySSvrLXx90uM7SEcnsPV1M55aRVBhMxDdWM3GAhohQxzIBa8eRfVRYqzfywLu/yO3PIkODGNq9FbGpCY7K9nZOBmlM/7q9A4u+P+L0mdk7R8DimLBv+SahqzQy7K3LTk1v6rL9WY9dW062/FK9TQ27Nd8dzGPaXR1rzeCvq/gspBYXF8fMmTOZOXMmW7du5YMPPmD8+PFMnDiR9PR0li9fXhvjFAiuCN60CZM8cbkXy4gor0RvMFFaYZCN36XpyZR9+S0tF/5L/t6Q4XM5FN7M4Xz2fT7B8wuwpuIZAoGgYeHvedk+Td1sNntMXc/IyKC0tJRffvmFqVOnotFoSE9Pr/Y5g4ODCQ4O9mncgr8XvtS1elIqN5jMdI+PlrcdOX9JPv4JOwXw4MAAWkWFMuytHWj1Rof+1SFBSkwmMw9/aCk3G5uaQN92MfRPbILBZCI5Ppqs3CKnkU9PQl9NGwWzYlRPAJpFhHDhko5F3x9m26ELYDbz+7IHaVJWJB9/ccqLFDz9HJs372f7l1atvjQxcnq2veFtbSBejlrnkFdcwdiUBKbe2YFSnZFGIYGcL9GRe1HrcA7rmu5Pxl9vU3onPa/bOzUjqUUE41LbyZFsd11gAlBwZ5fmNudK08Tyj57unXHO6oul8bkq3fMUgHnqZu+dI2mJsUy8ScMYK8E6CftsCXD8/ToLstQH0UNP6+mS8kraNQlv0Ea2PT4b3dbcfPPN3Hzzzaxbt47x48fzzjvvCKNbUK8JD3b/J5EQG8adXVpw79s7eHl4V17++i8H7/eboSdpOfI+educae9xyORocFfnxegP8QyBQNBwqcm8HBsbi1KpdIhA5+XlOUSq7UlIsER2unTpwvnz55k1a5ZsdDdv3rxa5xQI3OFLn+FCrWtFa7gsiAYWx3buRa382Zko2BdPpMoGt6v+1ctG9MCMmRWZtvvkFOUzxQ6p654Uz4+cv2QnsBbLqJS2HM/6i22L/2lz/Kp3Pqf/0JuYs2mfo6J2dgGg4MWBHXne6nz2kWspav3IDe1o1TiU6XbnStHEMHNQJ7dR84jQIFaM6olCoWDv6SK6tIp0eCZpmhg2Pp7CJV2lG5X0fEantHXY9vz6PSwc3pVW0Wqn36uOQKAngzEs2Ln6tkRCbBifjL/eUoYYGohSoaBnm2ib67vKloDLv98yvdFpkGXh8K51vhyxPrcgrC2qbXQfP36cDz74gNWrV3Pq1Cluuukmxo0b58+xCQRXlDNF5ew87rp+K00Tw5+5RUzbsJeJAzROvbHFv2cR+85j8uecb3/irsRO3Go0sd1KAd3+xehturgviwyBQPD3oqbzskql4rrrruO7776zaef13XffMXjwYK/PYzabbUTQ+vbty3fffWdT1/3tt9/Sr18/r88p8C91qUTJ17FIxxeU6Vk5upfTel+4XNdarNWj95C2ras0cqaonLCqFlWS0rSzKPau3EJCg5SyKJir/tV3dm7Ol05aSEmfe7VtzJiqNOTtVvXQK0b1JACFTWpzWmIsE27UMG61bbQ0Izufm//3GdvWvGazfd+JAlRnL3G8QOtUaE367vMDO/DVE2mYgdIKA4FKBQpg+YgeaCuN8v2azTgY3NK4527Zz/SBSUzb4JhKnKqJ4Yu9Z2VDev7QznyQ6eR5ZRcwe/N+JtyocTpWCWfp95nZBZwo0BIeHOjyd+Nr7bIng1H693dV6299z6maGF4e1tXh+kazmSHLtrt0VhSXVzJr836nQZYpVUGWupyeXR+i8Vcan4xunU7Hp59+ygcffMBPP/1Eq1atGD16NGPGjKFt27a1NESBoPaRIsgu67fsvL/OxE56XDzOx5/NkD8/N3sN/91aAlt/tpwjMZbNk1JRADFWiwpf0sX9JZ4hEAgaBv6elydPnsyDDz5Iz5496du3L++++y65ubk8+uijgKXW+vTp03z44YcALFu2jPj4eDp0sIhDZWZm8tprrzFp0iT5nE8++ST9+/dn4cKFDB48mE2bNvH999+TmelaPVlQe9SlEiVfx+JKEXlxerKDYrQUScsv1bPjWIHb/r87jhXw9o9HmTu4MxlH8ukWF8WADk0Y0aeNQxQ7VRPDfT1a81BqO1SBAS4js80iQmwUsq3Znl3AlDs6UFhWydiUBKbc0YFTheUEBwawK7eQ5+7owKO6SrlOu0mjYB549xeb+wswGdm59EEal5fI2w5Pm0t2+jhCtAbAdT9kaV+AQsGcL2zrtFOr2qI+++luuU3q1Dtd1zBnZBfw4qAkh1Zc0nmsI7nNIkJcOgG2Zxcw9c4OLscLrtPvi8orPQYdfKld9mQwGsxmB4cJOL/nzOwCpm3Yy9L0ZBudgaN5pW5r6tUqpccgS/umdTc9uyG0IPQ3Xhvd48eP57///S86nY7BgwfzxRdfcNttt9Wb1mECgTusI8jO6reaNAomJ79MfkHae1uDKyuYefonVIUXOXtNF2ZOeJVvzxpsjsk4ks/sz/fbpID7mi4u0nUEAoFEbczL999/PwUFBcyZM4ezZ8/SuXNnvvzyS9q0aQPA2bNnyc3NlY83mUxMmzaNnJwcAgMDad++PS+//DKPPPKIfEy/fv34+OOPefHFF5k+fTrt27fnk08+ET26rwJ1qUTJ17G4Ot6ZYrR1JK1EV3m5/69dBNm+xVOZ3jJvr8zM4ePx17Pw60MOhnpmdgHTN+3j7m4taRbhWqjQkyjaqcJyJny0ixRNDM/f2VFuJzVxgMZBSGz5yB42Blr7/JNsXfGYzfmeXLCeTUUqqDqPdF5XjE1NYJ6dMJp0f2YuP8/t2QXklVQ4P0kV5Xoj8wZ3lttrxTUO5Zv95x0cIZ6eicFoduscsRYjs85CCFMFojcYKdb6J9vPk8FYXml0WCu6umewrP/snQKeDPuAAPfv8foQZKlNdfT6iNdG9y+//MLs2bN58MEHady4cW2OSSC44lhHkKX6LemF3iM+Gl2lRSlzw4R+lJQbiA4LkmuYep7az/KNL3Nq8bv8X1EA3d6cw7frDzu9jn0KuK/p4iJdRyAQSNTWvDxhwgQmTJjgdN+qVatsPk+aNMkmqu2Ke++9l3vvvdcfwxPUgLpUouTrWHzpLmIdSYsICZJrkz96qA+jU2xbGFkbSdbGkgIFY1MSGNmnjUPbqp+O5PPCwI4UlLquFfckiibt355dwJ5TxXKk2D6TTq1S0rTRZVHBpzI/4qntl/vbn9ck8exz75Nx9KLDM9l9qsghAi3Rt12M1+3JPNEoJIgodRCrdxznpyP5LB/Zw+m5PT2TYm0lY1ISHNPrNTE8flMiY6vS613V0vszY8OdwVis1dOzTbTNtaV7VquUTBygITkuCr3RRNNGIQQpFRRq9Ry9UCqXT3hj2LujvgRZrDMMpNKQY/llV72s5WrgtdG9Z8+e2hyHQHBVsY8gu3qhS17xxd8fZsWonmx7fDrPbF1JiEGP+cN3eTPtSZaHhtuf3gZr76Sv6eIiXUcgEEiIeVngK/4sUSrWWuqqDSYzJrMZbYWBSLXK64W0r2NxdbzkIG8eGcKnj/YlKjTIJq3a2ll9sUxvo35tT2RoELd2bMr9veN55euDNqnQ9mnsl3QG4mPULvtXny/RudxnH7Wd+8UBPp+YwuzNBzCYzDZGW1y0mtKKSm7VRPHew6k253ni7md54I0pZLz/q9P7mffFQbZMSnUqgKb0kBFjHZXOOunaeJcc/pFqFQuHd+WHwxeIa+zc6HUnFJeiiWFnlWPjk/F9edJgxGy2iJYFByoJUECP+CgyswtcqpzXVsaGGcDqcTlbiwUHBnhcO/5z5W/0bBMtOwY8GfYNKchSl8parhY1Ui8XCBoKseEqFgzrQtNGwZY0oWg1C+3Su+ByGltyfDTFj07ihe8/BuCntskY33gH/nvAoyfX2jtZnXRxka4jEAgEgurgrxKlM0XlzNi0jwd6xzsYP94upH0di7PjvYl4WhtI7oy+/omxNG0UzKx7OvHcuj0u538p7bq4vJK3fzjKnCGdmLFxv0NkNqV9LO2bhGPCbKcRE8uY1LZMXHO57lerN3L0QhkvDe6M0Wzmw5+P29zPPwPO8d6Ch2zGc93E/9ChW3sC3BjPWr2R/NIKkuOjGZfajjCVkvDgQL7afw6th0iq9VpmZWYOXzyRyoxN+50qaUvrDzPw5Z6znC4qd/qcV2bmsHJULwIUCoe6fCnNPzk+CjNmlv+QzYg+bVi09TDbswuIDVexcnQvHtMZaBQS6DJK76+MDU9Gov1aLDI0iOkDO7pseQaXfztT1u1hxt1JqJQBDm1npXE3pCBLXSpruZoIo1sgAMr0RrYeOE+HlhEkx1le+JnZBS6VS0e+M5sWVQY3gPmzT4lrHSv3t3Q3qVt7J6ubLu6LIIhAIBAIBOCfEiVpAd0tLqpG0UZfx+LseG8jnpKBVFCmZ2hyK2Z97tp4zC/VO52/4XLatRSp/v5QHibMjE5py6M3tkcZoECrN2I2m5m7ZT87jl100IgpKK0gAAVL0pNt1hXBygAqjCbmbLats37pm6WM/PNr+fOlAbex7901rAoJJK9Eh87g3ngOUChYui2b+UM789Xes3SLjyYrtxDAbbeWJo2CWT6yByFBSs6X6FCY4e6uLRjd73J6ft6ly7XesmGVnc8fuc5FaXvER1FeaeT6do157o5r5VpxKc3/uvgonr29A4u+P0xSy0ibf9v8Uj0PvPsLY1MTSNPEur3nmtY7e2sk2q/F9EaTTUs3a6xT9v84UYjZBM9/vtetw6qhBFnqUlnL1UQY3YK/LVJtSXG5ngqDmSduSWTR94dZui2b5SN7uPSgf/z9G7T4Y5v8OfvoWdpGNOKSTs/cIV146YsDTlUtnXknG5InUyAQCAR1G3/MOQVlerrFRXF7p2Y1ijbaj0VycvdrF0NwYAD5ZXr5OFdjd9ZJBCwR8K5xUZwt1tnUj7ZrYin/WurGkPGU9g7IUVmAbYcuMLJPG0a+/6vcRiw5LorvD12wXMuuPntxejIrMo/ZpK6namK4p2tLDCazHDEPq9Cyf9E/bK7716J3uf1sS3jvF8BiNE+5o4Pb3t7hwYFsmZSKGTPPb9jHH7lFLE5PZs2vJ5yuVdI0sUy4SWOjlp6miaVdbBhNGoXw+JpdNrXv/RNjZcNQMqykGnprh0NCbBhf7D3L42ssQm9JLSI5X6KjWUQISS0iWJKezPkSHYHKy8/U/t9W0txJjoty++/jLGPDl9Z01TUS3amRw+WU/bGpCczdst8rh1VDCLKIzjsWhNEt+FtyulDLiQItReWVspf54JliRvRpwy/HLhIcGODUgz503zautzK4j524QJPYCPJL9VSawGQ2M29oF8oqDMy6uxNGkxmt3khkqGvvZEPxZAoEAoGg7lPTOccMZOUWktQiwu1x3iykrSPQZmDWpn1uhbHsx15pMjuc09uU8+r2aI4MDeKfK39zqsotRTNdqXS7iszvyi3ijxMX5ZZSaTm7+Pd/Z9gc0+mp//LGLWlMPF1sk3136GwJU+7o4KC0nqaJYUxKW4a9tQOt3siKUT0BW4M4UKHg2duuZeqdCsr1JgIDFPx1roRxq3+3ub+M7HxMmBnYpYWNSjxcNkLtDSvJQJb47yN95c8TB2h4P/OYw3NQq5R8PP56VozqiVoV6LIPe9bJItI0MU7bj6UlxhKoVNgomTtLFU9LjGXWPZ0c2rhC9Y1ET78dKWXflbMILM/zdFE5+WX6BiM05qo0RMokrTSZbUTmGipeGd2+iLV07dq12oMRCK4Epy5qmbLetl5Lqida8+sJxqYmkHWyyEHZ8x+7v+Xlr5fIn38+cIb4Rmomrs2qsTBEQ/BkCgSCK4eYlwX+wF4gyhPFWj2zqkS5PKlbe1sfLs19E9dmORhRniJ/R/NKHc5XU5Etd2nvKZoYfjh8wSGiaV3/XGEwERXq/N6dGVvWToKxKQks3zCfuw7vkPcfbNKWO8cuRa1SkhAT5lDvnaKJoXt8NL0TGvPiwCQKy/SgsLTxClIE8NFDfQhUBlCuN/LB6F78UWXE2o9DMso9pUc7a5N2UasnzEq8zllpXpNwldz1xd1zePXrQ24F7MBSG75xQgqz7aLFKZoYRvVry53/lyELloWplE5TxTOO5DNj0z6S46PZc7LIZt0WHuzePApzsd/Tb8daPM8dxwu0TPhoV4MRGrN/LldCfb4u4pXR3b17dxQKBWaz2WP/T6PRfWqFQHA1KdbqmbbetUCKlBY2aW0Wqe0v1wz1PbGb4tBwTAoF/+l+FzNvfYRPQ4OZaVcXBn8/YQiBQHDlEfPy3w9f0mPdURMV4fxSvWwQ+aJf4onqpvM6M3I8RRHPlugAXD47Vyn4qZoYRlullUvYG1ORoUGEhwQ6fTbOIuCSk+DAnmPc/HBfm33D/t+r7Gpl6bX94sCOzHGSkrw9u4C5m/dzZ5cW/JlbRI82UZwsLGfNrycY0acNb3/7l4NhKhmx0vX7tYvBYDITrQ5i4gCNQ2TZ3fgBSsor+fHwBcuzyC1i2YgenC0utznml5yLrBrTi9Ef/O72OXgSIQNIjo/iq/1nSY6PljMLWkeH8u2By32ypbXY9EFJHlvNLd2WbbNuUykD3Kqsq5TOBXNd/XasheJSNDE0jQh2+n0JyYnz05F8pqzbw7whnYkKDaq3a0r753Kl1efrCl4Z3Tk5OfJ/Z2Vl8eyzz/Kvf/2Lvn0tL4eff/6Z119/nVdeeaV2RikQ1ADrhUqoSuk0HQls08K0eqOs7Pnwr+t54YeVfJg8kMGj3mR/03agUBAeHEh673hG9GmDrtJo08fz7yQMIRAIrjxiXm6YuDKs/dVup6YqwtZptyszc5yKZVVHk6S66bzOjBxXhqHEsQtlzP/ioNtnZ53GXlxeiTpYSWiQkrlbDtgYo9bGFFhqn3WVRmZ/vp9l/68H+koTJVVq2+dLdDQKVjpcKzkuisLXF/PRt8vlbQZlIElPfYo+0BIxT0uMpUvrSJ53EYXOyC7guTs7cP87v7D+sX58sD2H5Phol0ZsAPD4Te25tnmE0/ZW9pFlCWfdWSSng/R7GNytgpCgAL7Ye9bB2J80IJF5QzrTOjqUFaN62gjJ9YiPdukssc6ssH7m1uP77NG+Dn2yKwwmKo0mp44EKRpvLRhXpK0kUq2iqFzvtN5dunZxuR4IczpW+xKIsOBAVMoALmor+PSRvuiNJhQoXKbH2ztxMo7kk51Xyuodx+t1FNj6uVQYjLWuPl8X8crobtOmjfzf9913H4sXL+auu+6St3Xt2pW4uDimT5/OkCFD/D5IgaC62C9Ulo/s4fZ4SZETYFduIbuXP0jkJYvKZ3FIuGxwp2hi0BtNrLSb0Kwnq7+LMIRAILjyiHm54eHKsF4wrAtT1+/1S1ZVTVWErWsznYlltYsNo0VkiM8L5pq0MrM3ckKCHA1ba4IDA7x6ds7Kvl6/rxv5pXqKyvVUVJrYcaxANv5SNDGMSmnLrM/38/6oXsz63DYqnaqJ4aWhXRjUpTlb9p6zbDSb6TnsFm4+dNmYfis1nbLpM3mrymhs01hNWLCSoxfK3N7XmSIdWr0RE7YRXGdkZBcwe3BnZtr17wbnkWW1SsmLAzsSExZMia5SrrU+UKWFIz2DJ9ZmsWFCP+ZssSiw26eZm83Qs000czbvl4XmwLJ2ss4udEajkEDWPtyH7UcLHAzuFE0MKg99sq0dCa6OS6tyGDUKCSL9vV8dlOcllfXNE237pdtj/9s5U1TOG98dkf/21CplVTq/wqbVnL0TR6LCYLL5zQJ+yXq50kjPRVLPd0VDXT/7LKS2d+9eEhIc63gSEhI4cOCAXwYlEPgDZx59T5NxZGgQPx8rALOZZ2/vIG9/q8+9vN7/QcDyUnyuqqWFu8nK23o2gUAgqAliXq7/uItAnyjQ+q3djq8RZfvIe3hIILd2bMp3B/MAW7EsScW6Oov/mrYyszZyirV6r+pqqxNRs79Os4gQbunQFFVgAF/uO8cTa7NYkp7sNA08M7uAFzbs5eXhXSnRGcj+4wA73hprc8ytY5dxpEkbsDIEN09K4beci3RpHeV2bHHRatQqJaU6A+A54l+mN3jM/AOLgfjB6J4cu1BGQVmFHJ1uFRXK4G4tGbvqsuiaVm+k0miWDW5nhq2Upr/j2EX5e9uzC5hwo8bteNWqQC7pKtmdW+Q02+Bssc7rFHVXx2VUGbav3teNnm0cI+9qlZLpg5Iwmc1k5RZ6ZfA6+9vW6o2MW72Tzx7ty+hiHWHBgZRVGGSj3lWGwU9H8jlXomPeFwdrnPVyNamJk60+47PR3bFjR+bNm8eKFSsICbGIKVRUVDBv3jw6duzo9wEKBNXFmUffbDaTqokh08lEk6qJoVVUKEO6NrcxuA3NmnPjhhV0Kq3AYDSzK7eQwjI926y8tNZszy7g8Rs1PtWzCQQCQXUR83L9x10Euqjcf+12fFnsuoq8zxvSGUA2vKXtNWlz6c/2md7U1UrUJKJmL+gmGWhNI4Jd9vnOzC6gVGfgnZJfCH3rKXl7caNokh9dhSnANjCQlhiLUqFg1uYDbJ6Y4jYlGcxMH9gRqdzYWSq4NWU691oPjUKC+Hj89cQ2UpFfUsEWJ+niCTFqVo3txeHzpQQHWtLEJYPRlWGbmV2AGRxU0H8+VkBaYqzTv4M0jeU56CpNPD6gPU/fmsi5kgo5+jx13R4+GN2b1tGhdGoZweRbryVIqeBssY4gZYBc+ic5EjzV/ZfqDA6/IbVKycrRvVi2LZtp6/fKx3syeF39bWv1Rr7cd47dJ4voFhdFVm6hyxpy63TzU4Xl9V5LqKZOtvqKz0b322+/zd13301cXBzdunUDYPfu3SgUCrZs2eL3AQoEvmDtlQ8ODHCo41EqFIxOScCMY1/KZ2+/lpMXSklLan75hElJBO7fjy63kH+u+E3e7ClNPTgooF68+AQCQf1HzMv1H3cRaE/Gky9RIW8Xu+4i7y9u3Mer93Vj6p0Gv7a59Gf7TOlcUp9u69Rg6yiivyJqseEqbu3YlM6tI9FWuDZmA0xG2nW7BtWF85c3Ll5M2YMPkerE4TB/aBdOFmrR6o0czS9jVEqCnD4uITkTThaWkxwfzdf7z8mGmjsxsEClewFGtUrJoCWZfD4xhSX/y3YZPZ5yRwce+88u+byDurYA3Bu2ztTvV2bm2KSmS6RqYhiT2pZvD56jc8tIyiqMREWpOHw+n3d/Omb57uhevPL1QQfV8zEpCUxcs4vk+CgWpycTrQ5i3WN9MRgdW81Zc0lXSfum4Ta/x2i1ihc37rNJBwfPBq+7v+2VmTlsnpjKy18ddFtDbp9u7oz6VAvtTydbfcJno7t3797k5OTwn//8h0OHDmE2m7n//vsZMWIEYWHORQUEgtpCMrJLKyqJDFUx3e6FaF/HU2E0ceicpaclgK7SRHhwIJVGE0WXdHSb+6/LJ7/+evj5Z8AxOuBpERQV2jBfGAKBoO4h5uX6j7sIdNbJIpcRQF+jQt4udj3VfpfqDHJPaYmaqKvbfzchNqzGC2/p+/O/POiXiJq7+4tUq5gxKIlTReUu201p8nP5fsUE2405OdC2LS3BpcOhTG9JF1cqFEyyq6G3diYsSU/mQmkFe04VyS1Q3Rlymdn5pGliHYxIsBi6YSol6qo2YK4i984M8SJtJamaGI/p7foqgTPrtmIms5lebRszNiWBoMAAlAoFvx+/iAIFv+Vc5M3vjsjfT6ta310srWDZtiMOGQDOatPnD+lCm9gwjpy/5HZskjPGPpvB2bMC9wavu79trd7IyYtaBnRsRnzjUGbd3QmjyczFMj06g4lduYU2jqK0xFi3bcfqUy20P51s9QWfjW4AtVrN+PHj/T0WgcAnrFPfJg7QOE3NsX7prszMkXtcWr+4pQno8KPPcEPGGswBAWwcMp6ub7+K4kIpMWEqh+iAP1ulCAQCQU0R83L9xl0E+q+zJSwY2oXnN+z1S1TIm8Wur7XfNVFX94cyu7UDPkqtQm8wUVphICI0iAXDujDr8/01Sof3NMZirZ7MowV8d+Ac0+7s6FDG9nTGf3hyx8eXT3jddfD772DV7s+ZcBtA84gQ+lcZW9e5UPiWIts94qMZ0acNa389QVLLSBqrg5hyRwcUCijUVsolck+szaJfuximD0pizpb9NmNNqaq5fumLg4xNTXAbuQcc6o91eiOjUxII9aCh0zo6lP/8csJByGzCje0Zt3onS9KT+efqnUwcoOH9zGNk5RY5GOnni3V0aR3Jc+v2Or3G9uwCxqW2k/9bb7Q4Apo2CvY5vbm6CvueenfvzC1k6bZsG02EM0XlTh1jcwZ35q7FGS7HUN9qoV395hsq1TK6//3vf/POO+9w7Ngxfv75Z9q0acObb75Ju3btGDx4sL/HKBA4UKzVM2PjPrrFRTG6X1uaNAr2mMY0NjXBqbjJb3+dY9TaNxgw5TEuXdjNnw9OILfPLXy2aR/J8dHsOVnEwuFdbaIDUmsMBdhMVg09NUYgENRNxLxcv3EXgZ4zuDMt/BwV8rTY9aX2uyZtyGrawgwuG8R/nChkcXoyr3xj25daStOedldHSsp9f3bejDG/VE/TRsEktYxkwVcH5TK23w+d4/DrQ22+l/fOBwT/vxFEKtynd0tIv42Zm/bxzO3XYsbsYCSPSUng499yuadrS8yYeXFQEhUGEzq9kUYhgczYuM8h9XrSzYlc1FbQPT6aMU4i51q9kfQ+8R7T0AMDbPdrK408++lulqQnu4ykp2li2Huq2GE9dvBsCQqFgnWP9aOkvJIvn0hFrVKSHBdFsztD2HOqiElWkd8UTQyaZuEO57cZn9X4L1WJzFUnvbm64l/eagxYR8tdOcbAov7+d6uFbij4bHS/9dZbzJgxg6eeeop58+ZhNFp++NHR0SxatEhM7oIrwvlLOh7oE8+aX08AeGw1ERkaxF2dmzsY5sGVFSzb9DK3HP2d0hO76TFkIb2aNmdmpxb8++cTTLmjA8lxURw4W0J8YzWv3teNsgoDJeWW9LLX/9GdUp1/69oEAoHAF8S83DDwFIG+klEhX4SOatKGrKYtzKwN4okDNE6Fu346ks/zG/ayJD2Zdk3cG2jVHWOJrpIKg0muY/7l2EVeiCnmo9cfsDl+x44DjNh0jP5rs3yK5LeMCuW1+7pxsUzPS0O7cLqwnKLyStlI/uS3XGYMSmLOlgN8bxXRXzCsC1sPnKdbfDSjqwzrpo2COXz+EuNW/87S9B4uAxZgUUDPzM53K3CWaWdUBwcGoNUbmbQ2i8XpyZgwO2jozLqnE3cvzbT5Xmy4io8eut4hOJKqiWH6oE6MfP8Xrm3eyKZk0CJc6z6NvbHV76fCYORMUTkto0J9Tm+uifiXdK3TReUcL9C61Biwjpa7+nv/O9ZCNxR8NrqXLFnCe++9x5AhQ3j55Zfl7T179uTZZ5/16+AEAmcUa/XoKk2s+fUEI/q04YPtOSTHRbn9TrRa5ZAaFFVewp+LRwCgC1Rx4NlZ6I8HsT27gFe+Psj7o3rx6teHbLzDUjqZ9cTdLMJ/9yYQCAS+IublhkNdSbf0JRJY3bTbmn4XbA1iT4rUzgx4b+rQvRljREgQF8v0ch3zex9OIeXEHvmY/U3bMXDMYpaHR8nj8VVt2vq3ERUaJBuLQ7u3Ivz6NrywYa+NwQ2WNOrvD+Xx/aHL26VWXtc2b4S20n3qeFzjUJQBCgZ2acGcLQdsDO+0xFhmDEriy31nUauUsvF4sVQvG+n2fdwjQ4PQVRrJvlDqkJa+cHhXl63W5m7Zz8LhXRm3eidgW6e941iB24h6WLClNr1HfBRhwYHM2LSP5+7ogDJAQWyYykGbwBU1Ff+KVKvIL9Uz4aNdLo/xJj3871gL3VDw2ejOyckhOTnZYXtwcDBlZWV+GZRAIOFsQiwo06NQKEhqGSl7tZPjo13WWKdqYggPsf2pNykt5PdlD8qfJw+czPAbBsBxywu9Q8tIXv/mkIMwR31ryyAQCBo+Yl4W1AbeLu5r0nO3pv16rQ1iT8JdvtahS+sPb9TjY8NV/Hb8IgkqE8cXDrLZ/8/7ZvNTu+sAWxHWmqhN2ztnjuaVOhjc4PyZaPVG2Rhu21jtMoqdqonhm/3nWbotG7VKyeM3tWfanR05W1wOWLRtBi/bLiuDP7E2i+T4KHq1jSaucSgmsyXCLRnH1unUS9Id31eeWq1NudMigGuvfL4yM4ctk1KZuWm/g5DuhJsSuVBSway7k2gcHsyi7w+T1DKSkxe1jFu9k1s7NmXWPZ3QVZq8EgCsqcHrr1ZZdcU5J/ANn43uhIQE/vzzT9q0aWOz/auvviIpKclvAxMIzhSVM2PTPjq0iCA5LoqzxTry1EG0jAqlrMJg49WWaqzBvhVYDNPv7sSpQi0RIRZBlfc/+oGty0bJx8y/cQzFgwbbKEJWx2MuEAgEVwMxLwtqC28W9zUxJGpqhFgb7b60VnNXpz1z0z5m3t2JaRv2ymnrnoRTI9Uqbju1m5jh99js7/TUfykLVgOO/ZbBf2rTrqLxrp6JVm9k6bZshiW3YqGT6G1aVT/2eVsOyMeXV5p46csDTgVrA4CPx1/PtwfOU6o3Mnb1TpsId1zjUL7Zf15Op3YmRlvqoW+49X5rZ4IUMb+zS3NGp7S1qU0ft/p3kuOjmDu4M6culpPUMpKe8dGEqJS88+B1JMSGMXXdHqcZjdaOF3uDvC70oxfUP3w2uv/1r3/x+OOPo9PpMJvN/Pbbb6xdu5YFCxbw/vvv18YYBQ0Mb9K5irV6ZmzaxwO94/lge46NAZyqieHFQUlcLNPL26w9t9JLvk1jNbtPFTFk2Xb5pXxHiyC2Lr5scL9462Pk/OOfDn0QffWYCwQCwdVCzMuCq0lNDImaGiHWRrsvXUXs67TVKiVjUxNIjosiSBnAyUIt3eKi+ONEoUunvs0Y776bmC1b5H1bbxjKuOvHyZ9d9VsOUSkp1tbcie8qY8DTM4mpWn+5it6+dl838kv1FFfVj7sKRmRkFzD6UgV/5hbSu21j2aiXkDrMSGsxZ880PMS92nl4SKD87xTXOJTlI3sQEqTkXHE5FQYjz2/YJx8rHbckPZkKg4kKg4nfTlzkaN4lhie3okxvRG8wkV9aQbf4aP7ILZLH5szxYv3MfKnFd4ZID//7ojCbze47xDvhvffeY968eZw8eRKAVq1aMWvWLMaNG+fhm1eekpISIiMjKS4uJiJCFN9ebbxtDXI0r5QNf5522gYMLOIgbRqrGfH+ry6v9dFDfRhptb+xtpj/fPIiSXk5ABxZuIQLwx5gx7ECVmbm2NQXrXmoj9tzb518g9d1QAKBQOAMf85P9Wlerg5iLq/7SA716hgSNfmu1F5pZ5V6ub2YmmQct7BaY2TlFjJ0+Q7gco2z/ffsDWXJKI8MDSJabWklGll4AVq3th3QL79Q3CVZNlZ1lUan64wUTYzcIaWmhlyxVs+ktVkOGQNqlZKVo3ux/H/ZTp0aLXy45s7jF7n37Z9d7l8xqiex4cEoAxQMWmIrkubsGatVSqYPTKJz6whOFZajaRrO7M9t25dJpGpimHVPJ05eLOf9zGM2/063dGjKi4OSOJZfhq7SSGiQkphwFYu+P8y2Qxfk41I0McwY1ImFXx902G7/73zjNU0oLq9EoVCwK7fQ5t/OurWXQADez0/VMrol8vPzMZlMNG3atLqnqHXERF13KNbqmbg2y2ntkP1LLCu3kItlelk0w57YcBXrH+vH8xv2On1Bp2li6RZ/OUVcZajkgd1fM+f7d8gLi0b35TdE9uxGobaS6Zv2OTgB5g3pzAsb93k1VoFAIKgOtTE/1Yd5uTqIubz+4U1Wm7+vVVZRSWSoCr3RRFmFwaUBfzSvlJvf+BG4HIV15uCXDGPrqO3GCf3oHh8Na9bAyJG247hYQmR0I5ttznouWxt6Wr3RL+sKV72dXxnelVCVssaRVetn5ozNk1IouKQnKiyI17897LB+kozsji0iOFNcjjpISeNwFaUVBoq0lTQKDqR141Cmb9xns65L1cQw4+5O/N93f5GS2MQhou3MYZJa1WvcXh08VRNDdye9zlM0MfROaEwnK60g631j7M4lAi8Ca7ydn3xOLx8wYADr168nKiqK2NjLbZpKSkoYMmQI27Ztq96IBQ0eX1qDRIZaUqVWjOpJhcFESJDSxtv4QO94Fn51kGdv74CCv2zEMywv6CQGL9sOQIuSC/znkxdZfv0/eKX/P/nq2hTebKshvqouZ6mLNB9ndU6i7kYgENQ1xLwsqGs4y2rzVbTKF3yts40NV8kCYu40XOxFuwAaBQdCcjL8+ae8bXHf+3mj/4P0X3/AIWotpROfLdZxLL/Mabsof2jFeNNyria4q79PsRNdWzm6F4DNv/91baLplRDNPUsta7PF6cks/PqQjYH7yfg+jElJYMqdHSjVGQkPUZJXUsGI934hv1TP8J7xNqUAjcNUvPHtX04Vz83YqpxL25++9RqS46IwmMy0jAylwmAkv1TPNc3Cmblpn9OadezOdaVLDCWnUnG5HnVwIAEKBYEBCrk8QFA/8Nno/uGHH9Dr9Q7bdTodGRkZPp3rrbfe4q233uL48eMAdOrUiRkzZnDnnXcCYDabmT17Nu+++y6FhYX06dOHZcuW0alTJ1+HLagD+NIaRKUM4I1v/7IRt0jRxFxWyKyaJP93OJ+xqQkO4hlGsxmt3kif3L0s3bSQJtoiJu34mNvHLaMiUGUjqOJqshZ1NwKBoD7gz3lZIKgpzkTK1Col9/eO57l1exxSv2uaWl0dItUqZt3TiRmb9nnUcLHePyxaT/vmtpGsm8e9xdHYOMB1h5NItYpj+WVu20X5w5CrTVVrV/X31lFlgJ5tomnbWM3S9GTOl1RQqNUTXmUoXizVo9UbXfZULyirdPuM1Coly0b04P3MYyzdls2KUT0dusxIbM8uYModHegRH20TtNFVmpiybg8rR/fiUkUlBqOZ1tGhGM1m/sgtcnkua+eL9RryfImOwjI9JToDEaGBRKtVNIsI8fg8vcWZA0uKvi/48iCzB3e+4n8/gurhtdG9Z8/lfoMHDhzg3Llz8mej0cjXX39Nq1atfLp469atefnll9FoNACsXr2awYMHk5WVRadOnXjllVd44403WLVqFddccw3z5s3j1ltv5a+//qJRo0Yezi6oa3jbGuR8iY7ci1rS+7RhTGo7+WVp7W2UsBfrkBjcrSVPaA8xee00AM40iiU9fT4VgSpSNTGEBLlXOZUQbRkEAkFdpTbmZYGgpjjLahubmuDUyLpSbTidpbqrFAqm3NGBwADLesA6gmqdYacOsgh8zT2xlQcXvimf82x4DCmPrcQUYCsA5ipq7WkNFBEadEVT8quDs2BEeEggZRUG1jzUxyY4caaonLlf2Pb2/uihPoDrDjGeFOhNJjNni8vl35Enh8mpwnImfLTLJmgTGRrE+6N68crXh2zS2NOsjrHvIQ5gMJmZOEBDv3YxFJfrOXqhFFWAgpmb99vUiKdqYpg/tAvxMWFux+YNrlT2pftPjo8WbWzrEV4b3d27d0ehUKBQKBgwYIDD/tDQUJYsWeLTxe+++26bzy+99BJvvfUWv/zyC0lJSSxatIgXXniBYcOGARajvFmzZqxZs4ZHHnnEp2sJrj7etAY5dVHLtPV7XEa4t2cX8PiNGmI8tBFRf76eyUuelT8/NHwGZyOakJYYy7O3XcuCLw/y0tAu4iUlEAjqLbUxLwsEEtU1AJ1ltV3NNpzOIoVpibE8fqOGsat/Z2xqAgM6NGFEnzZOu6UM79acI2sfJyj3hLz91ItzSa107DUt4Sxq7W4NdGvHpqiUAQ66N1crE8Ad3gQjXBmLPx8rIFUT49JYzjpZRJom1qZkUCJFE8OOYwUkx0XJ2zwZ6dJ+yUh9cWBHwoKVzLCrGweLArsJx5R0sDhkEmLD+PDn4w6/j9EpCfxy7KJsqGdmF/D8hr28/o/uNY54uyvLlKLvS7dlc65EJ9az9QDvwn1ATk4OR48elduR5OTkyP87ffo0JSUljB07ttoDMRqNfPzxx5SVldG3b19ycnI4d+4ct912m3xMcHAwN9xwAzt27HB5noqKCkpKSmz+J6gbSKlJ/RNjbbZLQh+XKgycqIpwrxzdi4kDNKhVSrZnF/DB9hw5wh0SpKR5RIjDecDyYlwbdJBW40fL245u+5knn72PFaN60i0uiiVbjzDsutYUlDmmYwoEAkF9obbnZcHflzNF5Uxcm8XNb/zI0OU7uPn1H5m0NoszReUev+ssonu12nC6Mv4yjuSz5H9HGJuawMrMHJ665Rqnkfi8n/8goXmUjcHNiRNUTHrK7XUbOXkG7tZAs+5xbE8FlzMBirX1a73iylhcmZnD6JQEokKdR/1XZubw4qCOpGhibLZL6dQrM3Nsfkt7TxeTpnFcC4JFUHfv6WL58/bsAnrER3O+WOc2Jd3aqJeYPrAjczfvd1o7br0+td5e6Ic1pqeyTOlZnCosr3e/kb8jXke627RpA4DJ5P7F6St79+6lb9++6HQ6wsPD2bBhA0lJSbJh3axZM5vjmzVrxokTJ5ydCoAFCxYwe/Zsv45R4D9c1Ulf0hk8RrilepqwYKXT2iK1Sskn3QPoMvxf8jluGP8urY/CmOYKJlmlDFUYjMy4W2gDCASC+kttzcuCvzeuDFVvU8HDQwJlkTIJTxFJZ0aqP/AmUqjVW4S07A2qDz6dyU3H/ri84frrYccOUCiI1eo9Zu45w9UaqKBMT7e4KEb3a+sgHlvbmQC1gStjUas38sTaLDY+nuI0oq3VG7lYpic5PpqxKQk2Wj1S2rf1b0mhgAk3tceE2UFxfMJNGrJOXmTiAI1cMmA0mQkOUqJWKZ2mkAOEBwcycYBGrgFP08TQNS6S08U6RleNyfrfx5nYnuUZGKrz6GzwVJJg/Szq22/k74jPQmoLFiygWbNmDt7zlStXcuHCBaZMmeLT+a699lr+/PNPioqKWLduHaNGjeLHHy+3JFAoFDbHm81mh23WTJs2jcmTJ8ufS0pKiIuL82lMgtrFPjWpWKt3MLjBUTEyLDiQFaN6oqs0cb5E56AIek32blqNGCp/v99jKzkT0ZQTTpQnM7ILMJqq3S1PIBAI6gz+npcFf2986TRiz5micmZs2seofm0xmS8bQlkni0jVxDht8enOSK0p3kYKdZWXDbBgg56/Xh9mc9zxpe/T9vHLPe9diYp50+HEWXp2fpmerNxCm9Rl68CDu0yAulgH7s5Y1OqNnCksZ/qgJGZv2e9gLIcFBzo8C4k0TSx5JRXy584tIxm3eidjUxMcjPRJ/7+9O4+Lqnr/AP4ZBmZg2GVHEVEwVFxQXAG3XDIzl75paiapbUJq5s/dJDXNyrJyydxbRDM1zcy0zAWtLMXcSEVxSSUE2QdmmJn7+2OaKwPDPsNin/fr5Uvnzp07z1xwzn3uOec5caexZUIXvLn3gtGxIgPdy5y7navS4M+bmfj21Qio1FrYWFtBrdUhMtAd1lIrHLtyD58evYbQxi7icUyN5HCyrXSKVUJ5FeMTbmWKf7vZM+Gu6yr9G7FmzRps2bKlxPZWrVrhmWeeqXTjLpPJxEJqYWFh+P333/Hhhx+Kx0lJSYGPj4+4f2pqaone76LkcjnkcnmlYqCaY6pxSMtVlznUx3AHMU+lEdftjgxyx6LBIVBrddAKApzPn4HEzgqFggRnGrfG+KfegFJmZ/I4BqXd5SQiqk/M3S5T/VbdJKwyK40Uf19DD/mJq+lGiVADhQ2Gh/lh7q5zNboMZ0V7Cg1/973yK9buXGS0T5dXNuHLp58q8VpzrXCSpVQjtpylqkobCWBqvnpdmAdeVrIYGegOZ4UN1FotnmjtUyJZHrfpd3w8MhRWgNG1YWSgO2J6B4q9z8eS0qHS6EotqBvTOxAL95YcEn4sKQ0CBJNztw0J7KmbGUjPVUGrE7Di5ySjY0QGumPFqFDEbEkAoB9aXnwkR0SgG5xKGUJfXFn/X0u7uWMYbr/ltxviGuJD27FoZl1X6aS7eBJs4OHhgbt371Y7IEEQoFKpEBAQAG9vbxw8eBChofpiFWq1GkeOHMHSpUur/T5U80prHCY9GlTm61Qa/R3GhFuZ4rZTNzJwJysfK39OgvTAAazZ9RZyOnXD6BGLcMXdDwU2JYtXFL8T6VzBL0QiorrM0u0y1R+VTcJMXvCX0zaWlgAaeshNVQGPv5qOp0Jta3wZzuLJX9HYAMBFIUNM70Ccv5OFTfGfoOfxveJrfwjqgpeGzS2zJ94cK5yU1/EQ3TPQ5PtnKdWY8fXZEkO0a6oifFlKSxYNxWwz8tRQaXXo4N8AC/deME6ug9xRUKhDhyYN8H+PBePvjHx4Ospx+Z8cPL/pdwDA1he7YJaVBFqh9BGLZRXvi09Kxys9A0uMLDAksOMiApCUmovvzt01mbSjSNI+sWcgCgq1WD82DCqNDi4KG/g42+K9H/7CtP7BZd78qMj/V8PNndQcFe7lqOBoZw2NVkCWshAtfZ0xKS4BYf6uFhstQuZT6aTbz88Px48fR0CAca/h8ePH4evrW6ljzZ49GwMGDICfnx9ycnKwdetWHD58GPv374dEIsGUKVOwePFiBAUFISgoCIsXL4ZCocCoUaMqGzbVsrLmiL3co1mZr3W2s8G0/o9g5NpfxW3jIgKw4uckDPp4Pp45ewAAkCOX4bKHP1TWpr94it6JtORwNiKimmTOdpnqr8rOxS7tgn/x0Nbo28ITBxNTS7xHWW1ndkEhFDIpPhoZWqIKeHigG4aGNqzxZTiLJn9/3MgwGVufhrZYN6mP0evGDF+AYwHtLd4TD5Q/skBuY2Xy/VOyC0xW+QYsXxG+IkpbXmzurnPi75bhJkjUvyMRGzdQwMnORtyndUNnTPzyNNaPDcPsXefFY/+dkQ+FjRQNHGSlTlsoj1YQsCcmHH9n5JeYN264KVM84TY4lpQuxiy3tsLG+Gv4sciyYYYEfv7u83jv6bYmfw6V+f9q+H9jL7eu0pQGqhsqnXRPmDABU6ZMQWFhobhEyU8//YTp06fj9ddfr9Sx/vnnH4wZMwZ3796Fs7Mz2rRpg/3796Nv374AgOnTpyM/Px8TJ05ERkYGOnfujAMHDnCN7nqorDliJ66llyi6YhAZ6A5PJzlGfvqr0XDwUD8XBE+agCcuxQMAEj2a4PvX30PY3TyTX5KGIUOA/i4qv6CI6GFhznaZ6q/KzMUu64J/9q5zWDKsNVQaXaUu7p1sbYzW4y7e452aXQAHuXW1l1GqLEPyl6ksxNxvzhldIzx24xQ+WTrfaP+bySn4P6kM8+XWkEutkKFU4+/MfLjY2cDTUW72a4fyhsC72JlO2P7OKLuSvKUqwleGqZssbw4OgUqjTxwNQ8MNv1s+//buzhnYEspCrThnufhIRbm1Ff64mYGrqTmY1j8YElwyugEREegGT6eyp5q6KmRQFWox8cvTJZ4rr9p+0X0KtTqjhBswXke7tJsfla2dkKVUo6BQi7lPtIROEKBUaeFsZ/nRImQ+lU66p0+fjvv372PixIlQq/Xl6W1tbTFjxgzMmjWrUsdav359mc9LJBLExsYiNja2smFSHVPWndwN8cn49tUIvLnnQolhSAuebIWn1/yCtFzjpRDaTBgBj38TbgAY8tz7kP52Gx+N1E9FOF5sqNKCJ1shQ6nG4La+Fmk0iYhqiznbZaq/KjMXu7wL/oJCXaWHgrs7yNCtqRtWHEoqtcfbcNPbMHS2poqAOStK1o/5/Ov5iLz6oDr5Z6ED8Ua/V9D9p+t4a0gI7mQV4KNDV0pcTywZ2hqNGiiMjl+dz1HW/OeIQDfY2pSs/F78msgUS1WEr66KzIXPytdXMA9r7IpBbXyQXuzzJtzKxMU7WRjV2R8f/XQZbRu7ICpcX/ndVWEDP1cFtIJQaodOeKAbfriQAl9nW5NV1Murtm/YJzLQHcevll2TqLSbH5X5/1rWMHRez9YflU66JRIJli5dinnz5iExMRF2dnYICgpi8TIqU3l3cm0kEiwcHII8tQZKtRZOtjY4fycTN+8r0cLHyeiL5qsvp8Pj74vi48Bp30AjtQb+XYpiXEQA5g1siYJCrdGXeckFHYiI6j+2ywSU384WTcIqcsHfzNOhUhf0zgoZZP8mK0V7vIs6VmTobJ5aW6NFwAyf2T0vA3+sGGP03OAxy/Cn7yMA9Dcd4pPSTM/nvZKGmTvPYulTbdDQVZ94V7eYmbNChsVDW2PmzrNGw6TDA90QFR6A2D0XSgxRzi4oFHuBTY3ui6zjU+jKm2bgILcRb9YoZFJ8PDLUKDneEJ+Mj0aGYstvN9DS11kcTeFiZ4PGDRTiz2bBk60wt1iRuqJztwFg/dgwAILRDZl/sgsggaT08xvohn+yCzD3iRYYuupEqZ9DpdGVevPDydbGZP0Dw1JkhtdVdwk/qjuqXM/ewcEBHTt2NGcs9BAr7U6uQibFhqiOmPPNeaM7jd2D3LFgcAhO38zAxJ7NxKVHxpzei05FEu6m/7cbOiup+Fip1uLsrUy8EBHALyEi+k9hu/zfVlaPafG52JVJ0CvD9d92t6wiVkevpCE1R4UFey/WaCLhZGuDYed/wvvffWC0PWjaLhRKjT+vp5NtqfOE45PScSNdCQe5/hLaHAmRWqtDu8aueL6UtamLDzV2srURE08AJZLKhYND6vU1UNHfZaVai1fjEv79rPrk2LDe99yBLdC6kbM4L9vNQSYm3ABwX6nvMZ85IBi37pecuw0A4zf/ga9f7opZkCCnoBC5Kg3O38lCu0YuiOmlX12p+GiHN55oiX3n7yIlS1XmSjgu/w7/Lu0zbojqiI8PXSlR/2BDVEfxddVZwo/qlgol3cOGDcOmTZvg5OSEYcOGlbnvzp07zRIY1V+lDbMqWszEcGfP1kYKQRDQtrELTt3MEL+8jl5Jw5xvzuGNJ1pi6KoTGBcRgBn5iWiz9BMAQFJEX9xcsxnhJ26WSNY5X5uIHnZsl6m4yqwdXZkEvTIMxy1vTmxWfqHFEwmjaxFbazTzcsL7RZ6/PHEa+jn2NPna8uLPzC8Uh3ib43Nk5ReWepMCKDk/291BhjB/V3F0X9Flt1JzVHBV1M2h5RVV/HfZkGR//XJXRGUVGN2YWPRdonjtePC17kbHcbLV95i39HEyOXcb0HfW5Km12BR/DcM6+GHT8es4lqSvwv9Sj6aY8VgwACBfrR89WajVYfDK4wD0VdRLK+QWEeiGxg0USM9T41panslpBysPJZlcKs5KIsGKf2+oVHUJP6p7KpR0Ozs7QyKRiP8mAkwn1+UNF3vv6bbIU2nwxu7zJe7sfTQy1Oju4/GkdGi0ApRqLQqXvI2FvsF4tUko/vRpjmXdnoVi65/Y+Uo3APovTRaUIKL/CrbLZEpF146uTIJeGYbjXk/LK3M/hUyKmN6BJofVKtXaCiUSZc2jLjrku1FmCuLXTDB67aMTVmN2zFBg8x8mj13enF65tRVyCgpR+oJVehVNiCo78qDoz6/otdTD1PFQWvXzJd//ZbrwbpA7PB0fTKnJUqohs7ZCZJB7uT/PPJUGL/UMhNQKmPtECyzam4hjSWn44OAVfHDwijgkXRAE5Km1UKq1iOkdiOU/XkZUeAAEGPeGRwS64a2hrbHk+0R8dy5F3F70elhfY8D0DZtjRW7YWGpUCtW8CiXdGzduNPlv+u8yNYdpybDW2Hf2rsk1I+fvPo/5g1rhWFIa9p69Y/rOHiT4ckJnZCgLxcY3t6AQ045+hphfvkKW3B79xq/EP47uAPSJto3UCs08HSz/gYmI6hC2y1Saii7LVdEEvbJ8XewgtZKUWsSqe5A7HOTWSLiZUerN9/ISibLmUdvLpOJzz536Fgt+XCPuU2CrQNadVHxaKEBXRqGt1OyCMotwJdzKxNB2Dcs9FxVNiKoy8sBSP7+6xNTv8tIK3Cwy/H6cupGBVaPb425WQanzsyMC3fDHjQy09HECAEzb/ue/y5g1KTHU//PxnZCarkR4oJs4heLXa/dLjDZIuJWJu5n5Rgk3YDztoKI92JYalUI1r8pzuum/q7SiDp6O8lLv2j3i44RZO88iKjygjHUP0xAV3gTjN/+hb3xHtEXnQA90/vf5j7uNEBNugF82RERE1WGpdbO9nGxLTY4WD22NJfsSEdrYVUxUDD3dW367gXlPtCyzbS+vsNTCwSE4cekf/PnRKDirHvS4z+4fjS3tBuCnQkG8WV9ajBGB7mjr5wJBSCxR3Oz58ABsO3kT7hEB4v7VTYiqOvKgptc9rwvKu9lQ/Pdj4penEd2rGRY8GYLYPReMrlMjg9wxa0AwUrNVaOAgw70clbiMmSkudjI8HuKNrk3dcPVeLgCUur8hiS/OMO2goj3YlhqVQjWvQkl3aGioOIytPKdPm54zQfVLWcO2SivqUNYcKMMdwZGd/ct8X8Mxfrmcii9f6CpuP9FtANZ1ejBvMSLQDYuHtuaXDRH9J7FdJnMob6mr6iyFVVpydD9PjaEdGpVYTsyQ0DZuYFfme5RXWEo4egRX3x1stL3TxM1IdXQDYDzku6wELkupxuKhrfF3Rj4y8wvFHsxtJ29iQZFCZeZKiP4LPdfmUtbNhuK/H0q1Fu/+cBkrf76KcREBmDOwhdHqNgAgt5ZCJwhIzVGV2iNuuIlieO9Cbdnz/ssa0p5TUIgAd/sK37Dh78bDoUJJ95AhQ8R/FxQUYNWqVWjZsiW6dtUnRb/++isuXLiAiRMnWiRIqlnlLX9R2pCYsr5gDMl0ReZJWWs1SHpviLjtStMQuO/Yhs+zCpCj1ogNn7qcLzwioocV22WqrvLa+uouhQWYTo7+yVGZXE7M8Dh2UKsyj1nWsNzpRzahydKvxcd/NGyB/41+Byhyg8rU/GhTyYthu7OdjZjsDG3XEO7FVkcxZ0L0X+y5NrfSfj8MPdJ9gj3RrrGr0XOGc+4gt0aAuz2AkhXLi99E8XSUl5o0Rwa5I+FWZqkxOtraVLoHm78b9V+Fku758+eL/54wYQImTZqEhQsXltjn1q1b5o2OalxF1gMsPiTGsM6gh6MckYFuOJaUXmLtQf8GCsT0DsS521ml3kUMD3TDmetpRgl3Zvfe6Nt1KiL2XsD0x4Lx0penxEJrfYI9zX8CiIjqAbbLVB3ltfXvPt3WYmsD63RCqdPMjielQ6sruzyZqWG5CnU+Ln7wtNG2JT2jsKbz/4y2VWVaWkWSHSZEdUd1Co8pZFK42cvwWp/mmDvQGlYSQGolgYeDvFLFCBcPbY03v71g8j2K/g6yB/u/pdJzurdv344//ihZ7fHZZ59FWFgYNmzYYJbAqHZUZD3AokUdFDIpPhoZio3Hk8U1I22srTCqs3+JoWMRgW4YH9EUbRrpK+0a3UUMdENUx4bQjBwlbtsbHImmcbuAj44hPikdrxRoMC4iQDwmKzYSEbFdpsorr63PyLPc2sBKtaac50tf9xgoWVgq7O8L+PrLGUb73L16C4k/3waqOeS7OsPra/KY9EBVC4+VNbKjtJ9PWUnzm4NDoNKU34vNGzb/HZVOuu3s7BAfH4+goCCj7fHx8bC1tTVbYFQ7KlJNsZmng3h3r42fi9EwsUlxCfh4ZCg2mRg6ZihG0jGggVhABQC8nWzx07m/8cV7X2J94nGopNaIGTwTBQOewLjsfPH1WfmFCPVzAcAiakREBmyXqbLKa+uzC8pOjKuzNrCzXTm9xnZl31Av2sM4aPlcPH3+R/E5VUR3yI8dgQ+Aj709q9WDaCoJiwxyx8LBIXBV2Jg8VnkJtTmG7FPZqlJ4rCKjPCtbzI692FRcpZPuKVOm4JVXXsGpU6fQpUsXAPq5Yxs2bMAbb7xh9gCpZlV0WI7hy+RuVoFRb7bhDvWxUoaOxSelY8aAYNy6r0+mz93OgnVBPnq+Ph7WTn6YMWAS/nFoAKFfP8wb1BKj1v4qvlZubQWVRmdybg0R0X8V22WqrPLaeifbsi8PqzPSzBxLIPnaSrD2902QF0m4c7/bD4fH+4uPq9ODWFoSduxKGuZ8cw5PtPFFj+YeRolyeQl1dRI7qpzKJrwVGeXJOfpUXZVOumfOnImmTZviww8/xJYtWwAALVq0wKZNmzB8+HCzB0g1qzKNobNChmtp+uU4is7hVsjK/rVKzVZh4pf6aroeuRkYtHU2mqXfQivFOZzbfxzSpk2Qmq3CqLW/Ii1XDeDBupgDWnnjvafbwsuJvTdERADbZaq88tp6V3vLrQ1c7SWQLl8GRoyA/MyZB9tyc+Fgry+AZY7h22UlYceT0jEuPMAoUa5IQm2pxI5Mq0zCW9E1s4mqo0rrdA8fPpwN+UOqso2hk62N0bzuFYeSsH5sWJnv4ekkR3igG5JPJ+LE6nHi9j/XbYN1QBMs/f4vk+tixv12AyM7+jHhJiIqhu0yVUZ5bb2Xk61F1wau8tDbtWuBF1/U/9vdHfjsM2DAAPHpivQ2VyQhLy8JU2l0Rolyep4abf1cENWtidG64xvik8X9mNjVXdUpvkZUUVVKujMzM/H111/j2rVrmDZtGho0aIDTp0/Dy8sLDRs2NHeMVMNKawwB4GpqrlFj5e4gw7wnWhrN6z53O0usYl5cZKAbJJAguhHQ7YUHCXfaex9itdoLCZt+x4aojnilQIOsIutibj15E28+GYKGroqaOQlERPUI22WqrKJtfZ6qEM52Mqi1OqRkF0BZqIW7vazCiXFVepdL64k0eSydGoiO1ifZBn/+Cfj6Gr2urN7mJcNaY+bOcxWaT11eEmZY/tSQKAsAEm5mlFh3/KORoZgUl4CcgkImdnWYOaY8EJWn0kn32bNn0adPHzg7O+P69euYMGECGjRogF27duHGjRv4rOgXItVbRRvC7IJCaHUCTt3MwMK9F8V524Y73u0bu2DWznMA9MPM2zZyQeeABtCheIVydzwf0QSzF27FnjUvi9svLP4QhU+PwXvu9mLj38jFDp6OcuSpNCbXxSQiIj22y1RVhsS3rB7iZp4OZR7DnMXBTB1rdupveHHjv8vhWVkBsbHArFmAtfElbHnDt2+kKys8n7qsJMww3Q3QJ8pZSjVid58vdd3xcREB4g0LJnZ1U7WnPBBVQKWT7qlTpyIqKgrvvPMOHB0dxe0DBgzAqFGjyngl1Scmq3YGuuGb6HB8f/4u1hy5hqNX0jBjx1lM6fOgYu64iACsi7+GhJuZGBcRgHHhAVBpdJBbWyE1uwA3zl0xSrjj31qFXzv0xlBbGxacICKqArbLVB3VKfBlzuJgJY4lCDi4fiKC0vVrzQtyOSQHDwKRkSZfX97w7cx808+bmk9dWhJmmO42KS5BTJTTctU4lpRuVNum6BDziGZucHeQQanWYmKvQGgF43XKWRy2bmC1cbK0Sifdv//+O9asWVNie8OGDZGSkmKWoKh2lVq1MykdC7+9gEFtfcUhU0evpGH24y3EfUL9XMThVUWHWQGAT/Y9HP5+ofj4+f/Nx/9Fjcalg5fgHhFgwU9ERPTwYrtM1VGdAl/mLA5W9FjO+Tn486ORRs/f+vkXNO4aWurrKzok3BRT86kNSVhKdgH+ztCvuJJwKxOT4hIQ5u8qJsrX0vJK1LYxCA90w9B2+ukd03ecxakbGSU7JHJUUMikZcZONYOdP2RJpX8DlcLW1hbZ2dkltl+6dAkeHh5mCYpqV1mN6LGkdLTwdcKW325gXEQAFDIpbG2sEBnkDkBfXMSURpkpcFNmQavVIsurISJfWoefm3VESnYB5gxsyS85IqIqYrtM1VGdAl/mLA5mOFb7vxPx3aZJ4vYbLt4ImL4H9xs2KfP1huHbpkQGuYtDwk0pbT61s0KGR7ydEObviiZu9ugT7IlvYyLw8chQ+Pw7dN7J1gbjIgKMatsYHE9KR+y3F5CpLMSxK2lQqrVYcSgJ4zf/gWnb/0TCrUx4OspxOTUXV+/lIkupLvMzElH9Veme7sGDB2PBggX46quvAAASiQQ3b97EzJkz8dRTT5k9QKoZRQuXaHRCmfumZqvQ0tcZYY1d0X6UCxbtvYix3ZpAJwgm7yQH3L+NLXGzkW1rj/Or18KpsQ9m2bnD1kaKhi62yC1QA7C30CcjInq4sV2m6qhOga/qFgcreu1hJwX2/b4GzX/+DtaCDtddfPBmnxfxc7OOFToWACwYHIJ5u8+XmF++eGhrvPntBZOvqch86rJ6QN0dZOjW1K3E6D6DY1fSkKfWGG0rrWe8qnPhiajuq3TS/d577+Hxxx+Hp6cn8vPz0aNHD6SkpKBr16546623LBEjWVjx+dvlLfkF6IeRu9jbYNkPl3AsKR0nrt3HuIgAeDjKERnojmNJ+mM9/lc8Vu1+GwCgc3TEoUI7+Nu5i+t0Rwa6YeGQ1hb6ZEREDz+2y1Qd1SnwVZ3XFr328MjNwPt7lyHyxhkAwN6QnpjZZyJy5YpKHcswfDuqWxMAQENXO7gqZPByssWbg0Og0pi/UJazQgZZGUPXAYgFaA1K6xmvylx4IqofKp10Ozk5IT4+HocOHcLp06eh0+nQvn179OnTxxLxkQUUvbPsILfGHzcycOpGhvh8wq1Mo8S5KEPVzpY+TpBJpeKyYIYhUxvik7E7Jhy/J99Hu5++Qct/E24AyP7+AB6RO0NhI8WGqI7iGpZv7D7PBoaIqIrYLlN1VKdyc1VfW7R2TPdrp7Dsuw/gocwEAPzSsS/+WvgRcn++WuljASgxp/qJNr7o0dzDooWyXMtbHs3OxujmRNH6N8VVdi48EdUPlUq6NRoNbG1tcebMGfTu3Ru9e/e2VFxkIaaqkhddS1Kp1mJDfDL2vhqBecWWwChatXPD2DBIrfS94kWrdB44nwKZ1Apdvt+Kpm/OFF87e+kODHJwRczmP8Q7vkXflw0MEVHlsV0mc/B1scO7T7dFRp4a2QUaONlZiz3EFXltZZPZtFw1Tl68jevvP5j+kOjRBDFPzsBVdz/sb+OLPi28Knys0urQHE9Kx7jwAKPeY0tca5TX4+/pKDe6OVFa/RuDysyFJ6L6oVJJt7W1Nfz9/aHVasvfmeqc0qqSGxLrj0fqq4KqNDoIEPBEax+jCpuGqp09m7vDx8UOc3edE3u6FTIpYge1xKfPhSH+lVkYvf1j8fiT3t6FJwd1xdpj1zAuIkC8u1t0DUs2MERElcd2mcyhtLW2Fw9tDbVWh6z8QjjZ2cDd3nTSWtlkVnvkCC4VSbiTGjTCkDHLoLKRAwAKCrVo19i1Qscqr5ibSqOzeO9xRXr8nRUQb06oNGX/f63I/HUiql8qPbx87ty5mDVrFr744gs0aNDAEjGRhZR3N/j/+gVj1LpfAQDRvZqhd7AXsvML4ekoBSCBjVSCXs09MH1AMGbvOicmzYaCIKnZBdjy9ibMLpJwd4z+HPcybJB+PBmhjV0R6udS4n3HhQewgSEiqiK2y1QdWUo1jly+h6huTTCyU2Nx5NqG+GTM3HkW7Rq7ijfLzVLoa+dONB/+IOHeGxyJmMEzjHapzDVBRZcKs/TN/Yr0+BtuTmQp1VWeC09E9VOlk+6PPvoISUlJ8PX1hb+/P+ztjatOnz592mzBkXmVdzc4PU+FlaPaQyIB1h+7hnd/uCw+Fx7ohld7B+Hx1j64k5lvNOzcUBDkVS81hn04FQBwxc0PT49eikw7JwAPkuvShlSxgSEiqhpzt8urVq3Cu+++i7t376JVq1ZYvnw5IiMjTe67c+dOrF69GmfOnIFKpUKrVq0QGxuL/v37G+23fPlyrF69Gjdv3oS7uzv+97//YcmSJbC1LX/4MllWhrIQe8/eKTGdzDD96/nwAHF7tQp9FRQA06YBK1eKm0Y+sxi/+Lcx2q2ySWdZQ7sNdWiA6vUeF62FY44e/+rMoyei+qlKS4ZJJBJLxEIWVt7dYAC4m5WP78/dFYeNGxga4yfa+KJdIxej50L9XPDXmi8h69YI21v3gXdOGmIGz4TK2rjRMAxTL66Rqx0bGCKiKjJnu7xt2zZMmTIFq1atQnh4ONasWYMBAwbg4sWLaNy4cYn9jx49ir59+2Lx4sVwcXHBxo0bMWjQIPz2228IDdVPWfryyy8xc+ZMbNiwAd26dcPly5cRFRUFAPjggw/MEjdVTZZSjXnfnDO5vjSgv6le/GZ5lYZqX7oEBAc/eDx9Ou5MmwObPYlANZPO0hLYonVoqtN7XNrQ++r2+FuysBsR1T0SQRDKXpS5nsvOzoazszOysrLg5ORU2+HUqiylGq/GJZi8GxwZ6IYOTRqgdUNnjN/8R6nHWD82DD7Odnj8o2Pitp0et9F6+kRIrST43zNLcNY7CBppyfs5X07ojF+upZdYk5KVy4nov6gutk+dO3dG+/btsXr1anFbixYtMGTIECxZsqRCx2jVqhVGjBiBN954AwAQExODxMRE/PTTT+I+r7/+Ok6ePIljx46VdhgjdfFcPQyupubi0fePlPq8YQnR4tcF30zsVuE519i8GYiOBvLy9I+//x547DEAD3qQzZF0ZinVSMkuwN8Z+QD0K7FsiE9GmL8rlj7VBj5VSJCzlGrExCWYnJrH6xciAirePpW9sGARSqUS0dHRaNiwITw9PTFq1CikpZmeH0x1k+FucGSQu9H28EA3TOwVhLaNXKDWll1R015uDQEC+gR7AAA2fTUf7ae9BBudFn91HwD7iC4mE+6IQDc0UMiwIT5Z3MZhVEREVWfudlmtVuPUqVPo16+f0fZ+/frhxIkTFTqGTqdDTk6O0dzyiIgInDp1CidPngQAXLt2Dfv27cPAgQNLPY5KpUJ2drbRHzK/8qadARCHZxdVoaHaKSlA48ZAVJQ+4e7dG7h2TUy4Af11STNPB7Rr7Ipmng7VXi/7EW8nhPm7oombPfoEe+LbmAh8PDK0Sgk3UHYtHEOPPxFRRVR4ePn8+fOxadMmjB49Gra2toiLi8Mrr7yC7du3WzI+MjN7mRSPh3gjqlsTo6rk4zf/jtDGLnitT/MyX29tJUGWshAv9wzERytehSL5lPjc8K4vYXn3IOikyUZD1SKD3LFoSAg0Oh12vtINSrUWznYcRkVEVB3mbpfT0tKg1Wrh5eVltN3LywspKSkVOsayZcuQl5eH4cOHi9ueeeYZ3Lt3DxERERAEARqNBq+88gpmzpxZ6nGWLFmCN998s0qfgyquvGlnnk5yo5vlQAXnXG/cCIwb9+DxokXAzJmAVFrVUCvMnMuClXdTgiuvEFFFVTjp3rlzJ9avX49nnnkGAPDss88iPDwcWq0W0hr4EqXqy1KqcSerALN2nTf5/PGkdMx5XIrIIHeTd3YjA91x+Z8czN51HgfWTYQi/ab43PWUTHT5/hImxSVgXEQAxv1beMXTSY6/7ubAxc6GCTYRkRlZql0uPj9cEIQKzRmPi4tDbGwsdu/eDU9PT3H74cOH8dZbb2HVqlXo3LkzkpKSMHnyZPj4+GDevHkmjzVr1ixMnTpVfJydnQ0/P78qfiIqTVlFyCKD3PHX3Rwo1Q+Wtyp3hJogAJGRwPHjD7YtWwYU+VnWJ+XdlODKK0RUURVOum/dumVUvbRTp06wtrbGnTt32BDWA3cy8zHj67MY2flBIRyFTIpxEQEI9XOBSqODrY0UUisJFjzZCm/svoBjSQ8a4chAN0zsFYjxm3/Hhu2xaF4k4X52zXE8fj0TIzv7Y2Rnf7HoSgN7GT768QoWDA5hwk1EZGbmbpfd3d0hlUpL9GqnpqaW6P0ubtu2bRg/fjy2b9+OPn36GD03b948jBkzBhMmTAAAtG7dGnl5eXjxxRcxZ84cWFmVnOkml8shl8sr/Rmocsqroq2QSdF+ao+Kzbm+f1/fu1004b5yBQgMtPCnsJyybkpwaS8iqowKJ91arRYymfGXi7W1NTQajdmDIvPKUqr1lTeT0hAV3gTAg7W1Nx5PNipsFhnojvGRAZj9eDB0AG6kKyG3toKHoxzjNv2OT2/uR8S1BwVV3tufiNPHr+P5yGYAjIut7J8cifeebsuEm4jIAszdLstkMnTo0AEHDx7E0KFDxe0HDx7E4MGDS31dXFwcxo0bh7i4OJPztJVKZYnEWiqVQhAEPOS1XOuF8qpoV6gN374deP114NYtQCYDJkwAPv4YMHFDpT7h0l5EZC4VTroFQUBUVJTRneeCggK8/PLLRmuC7ty507wRUrUVLQRy7nYWIgPd0LaxKzYeTy6xTMixpDToIGDhkyEo0OgwbfufeLF7U/Rv6Ymv+3nDe9GnAIBlEaPxcfhIhN/KxEcjQ6HRCdDqHlw8dQ9yh4+zLRskIiILsUS7PHXqVIwZMwZhYWHo2rUrPv30U9y8eRMvv/wyAP2w79u3b+Ozzz4DoE+4n3vuOXz44Yfo0qWL2EtuZ2cHZ2dnAMCgQYPw/vvvIzQ0VBxePm/ePDz55JOcnlZHVHketFYLvP02MHeu/nFQELB1K9C+faUPVdG1sGsal/YiInOocNI9duzYEtueffZZswZDlmEoBKKQSdG2kQu6NnWDVicY9XAbKGRSdGzSAGqtDnkqDb5+uSskggCHObNw9+xfmDt4Nh5Ju4H1HYcAeLCW54zHgnEvRwWAd4CJiGqCJdrlESNGID09HQsWLMDdu3cREhKCffv2wd/fHwBw9+5d3Lz5YHrRmjVroNFoEB0djejoaKPYNm3aBACYO3cuJBIJ5s6di9u3b8PDwwODBg3CW2+9Va1YqZalpADPPgsUWQoOp04Bjo6VPpSl1sI2F3MWZyOi/yau010Hmftur2EdzpjegUi4mYFOAQ0Q5t8Ao9f9ZrSfQibFqtHtsf7YNRz7N5m20mnx9Q/voP1Z/Ryt555+E0ebdijxHt9Eh8NKAtjZSOHpKGfjRERUjvrYPtUWnqs65vXXgfff1/9boQBWrQJM3AQqztT1DQCuhU1E9VZF26cK93RTzbDE3V5DIZBQPxesOJSEceEBKCjUGu2jkEmxYlSoUcJtrdUg6b0h4j77X1uEo7J2Jt+jUKODn6sdvOvAHWkiIiKyAKUSKDJ1AYC+dzs4uNyXlnZ9M2dgi3LXwi4r6a6rw9KJiIqq3xUuHjJiwbNijc/RK2mYueMsspTqKh3XUAjEQKXRIeFWJsID3QA8KKomt5aKCbdcozZKuA8GdoLNCxNKfQ8XhQ0TbiIioofV9eslE+6MjAol3GVd3/ydkV/ma8taC/tOZj5i4hLw6PtHMHTVCTy67AhejUvAncyyj0lEVNOYdNchRQueFWe421tVvi528HdTIKZ3IPwa2KF1Q2fMH9QKkUHuGBcRgI3Hk5GVr2/Y7NQFuLRsmPjavcGReOGpN0o9dvcgd3g6cmkXIiKiuiRLqcbV1Fwk3MzA1Xu5Vb55jx07gHbtHjwePVq/JreLS4VeXtb1TXnsZKaL7Vmqo4KIyBI4vLwOyS7jbi5Q9t3eirC1luLinSwAQKifC5LT8jB7QDAgkYjDzuUaNQ6uf0V8zdY2/TBzwCQAgKeTHJGB7kbrd7NoGhERUd1jlulq+fmAu7t+WDkAdOkCxMUBTZpUKpayrm8SbmUiMsjdZFIeHuiG0zcz4e1UcjWUinRU8NqEiOoKJt11iJOtTZnPO5bzfFmylGrEfnsBozr7l1ibe/3YMADAuSt3sf37pWiUfU+/PWwwFj76AgB9w5d4JxtR4U3wcs9msLaS6IeUm2gIiYiIqPaU1wtcoeJkiYnAM888SLhnzAAWLgRsSl6LlDevuqzrmw3xyfju1QjM3X3eaBnT8EA3PB8egElxCQjzdy0Rb2U7Ksw595vzyImosph01yGGgmdHS6ng6e5Q9S/0tFw1gn2cxLW5FTIpxkUEINTPBR6OcijU+Tj2bTyibAUUyGzx/LB5+MW/LQAgMtAd0b0C4ekkh1Ktgb3MGg3YwBAREdVJ1eoFFgQgJgbYtEmfcHt6AsuXAyNHmty9Ij3qZV3fhPm7IitfjdDGrhgXHgCVRge5tRUSbmViUlwClGotbt5Xwl5ubdRDX5mOCnMWqa3ry5sRUd3EpLsOMRQ8m7njrFHDVJ0h3Ia7sel5arF6uaFwmqHHe2pnL3yzZwFc797CS8/EYlDU/2FCn0iM0ejgYqfvzVYWanD7fj7GbDyJbyZ2Q4CHgzk/OhEREZlJlaer3bkDNGz44PGjjwJffAF4e5vcvaI96uVd3yjVWqMReKYU76GvaEeFWXr9K/l5iYiKY9Jdx/i62OHjkaFIy1Ujp6AQjrY2cHeoeK9yllKN1BwVsgsK0UAhwxu7z+N6uhKfjesEB7kUW1/oAic7a/x5KxMJNzPROOMuJg17AgCQp3BEvkaHubftgM1/IDLQDW8ODsG3Z+/g3K1MBPs6A6jeMHciIiKyrCpNV9uyRV8gzcDHB/jhB0BqupAZULke9bKub7KU6lIT6PBANyTcyixxvIp2VJhz7jfnkRNRVTHproMMd4Ur605mPmZ8fRbHktLwWt8geDjIMT6iKfzdFHhj93lxOTAAiAx0w74+bmjSY4C47ev3PsPknl1hL7dGnkqDhFuZuJmuxB/JGXg+oglitiRUe5g7ERERWValpqsJAvDxx8DkyQ+2vfMO8H//V+77VLZHvbTrG0MCXbwXuei8blPHq0hHhTmL1Fq64C0RPbyYdNczpRXvyFKqxYTb3UGGQW18MX/3eXRo0gDr468ZJdwAcD/+NzR5YYr4eOqwWdh5wwbY/Ac+G98J4zf/gchAdwxq44MOTVwRs0VfyISVyomIiOq2Ck9Xu3EDmDQJ2LNH/zggADh4EGjWrELvY84CsL4udlg0OARJ93JNzusu7XjldVSYM0ZLFrwloocbk+56pKziHQWFWhxLSoNCJsWGqI6Yt/s8Em5mYsaAFlj+4xWj44Te/gu7vpgmPn4v5l34DhoE/DufylVhg8ggd8waEAyJBOjZ3AOD2vhWapg7ERER1Z5ye4GPHQO6d9f/WyYDli0DoqMBiaTC72HuArAuChtsPnHdrAVlzRmjJQveEtHDzaq2A6CKMVW8QyGTor2/K1JzVEjPVePbmHDsiYlAnkqD40npiO7VDKnZBUbHaZSZgg07FoiPL3y2E+2jn0O/ll5QyKQID3SDjZUVpvQJgrOtDZp7OaFdY1c083Rgwk1ERFSPOCtkaObpYNyOa7X6pb969nyw4y+/6CuWVyLhNhz/7afaoHuQu9H2qhaANffxzH1MS8RHRP8NEkEQhNoOwpKys7Ph7OyMrKwsODk51XY4VXY1NRePvn9EfKyQSbFiVCg2xicbDR3vE+yJOQNbIDldCS9HOfILtfjfJ78AAOxVSvy4IRo+2feQ5eiK55+cjdONWgDQz/Ge2CsQBYU6NHS1hZVEgkBPx5r9kERE/yEPS/tUE3iuzOT0aaBDhwePx4wBVq0CHKq3Iolh6ltVCsDWxPHMfUxLxEdE9VNF2ycOL7ew0uZgV1bx4h3jIgKwIT4Z8UUSboVMimc6N8bc3edxPCkdq0a3RyNXO0QGuuHurwmIuH4GiaNegG73FgwZtgD3HBqIrzUk7k+2awh3BzkUMg6CICIiemi89pp+vW2DzZuB554zy6GrWgC2po5n7mNaIj4iergx6bagsuZg+7rYVepYxYt3GNbcLmpcRAA2Hk/G8aR0KGRSNHK1g5UEWNhEiwavzYZTbiYuPPoheo9cBpWNvMR7HEtKx4wBLZBbUIjGDSoXHxEREdVBhYXAyJHAjh0Ptu3ZAwwaVHsxERH9x7A700JMzcEG9Os4ztxxFllKdaWOZyjeYaDS6ErsE9bYFaGNXfH5853w3asRyC3QAKtWo0nfCDjlZiK/TTso+z1uMuE2SM0pgF8DBe/gEhER1XfJyUBkpHHCnZlZLxLuLKUaV1NzkXAzA1fv5Vb6uomIqC5h0m0habnqEgm3wdEraUjLrVzjUbx4h62N1Oh5hUwKHxdbXE3NgZezLd7YfR6HX5iOkMWzxX1OrvsKMk/j4h/FNXSxQ0NXRaViIyIiojrm9deBpk2B334DXFyAnTv1a3I7O9d2ZOW6k5mPmLgEPPr+EQxddQKPLjuCV+MScCczv7ZDIyKqEibdFlJ8DnZxOeU8b4ph+Y9Dr/dAMw97RAa6ic+91KMpzt7KxOv9HsHCvRcQtvEjzD68UXy+Y/Tn+PTPdKTlqhAZaDrx7h7kDm8n20rHRURERHVEfj7wyivA++/rH4eFAWfOAEOH1mpYFWXukYJERHUBk24LKT4HuzjHcp4vjbNCBjd7GRbuvYjnIwIwMMQbG6PC0L+VNxo4yFFQqMPoiz9h8ok48TXtJm3BPQdXHE9Kh1QiwfwnWxkl7ACXuyAiIqr39u8HOnUCPvlEv/zX6NHA0aOAv39tR1Zh5h4paMDh6kRUm1hIzUIMc7CPmmg4uge5w92h6sntvVwVQhu7oKGrHNMfC8aJq2nQCfp53rrdu9F3xYN1uFtP2YYcub34WFmoxd/3lWjb2BWv9AyE3MYKLnYyLndBRERUXwkC0L07EB+vf+zlBXz+OdC3b+3GVQWWGClozsK2RERVwaTbQgxzsGfuOGuUeFe2R7n4kmMKaytYW0nQvrErZFbWuJOVj73n7uJ4UjrkhSocXD8d0kI10vs/gbjJi5Fz5KbR8VzsbOBqL0N4Mzc09XCAF4eTExER1V937wK+vsbbzpwBvL1rJZzqMvdIwfKGq388MpSdDkRkcUy6LcgwBzstV42cgkI42tpUqke5+J1ZhUyKr1/uirf2JeJ4Ujp+mtoDK35OwvGkdIw/uQtP/BWPmMEzMPTCzzg0dDr+r7Uf3iuSdEcGusPDUY4PDl7C7MdbMuEmIiKqz/74Axg27MFjFxfg3j3Auv5e3pl7pGBFhqsz6SYiS6u/38r1hLOiasO2Td2ZfbF7U7x/4BI6NmmA1/o0R4FGi+NJ6YhfPQ6NslMBAF1vnsWbfV4CkrPwf0WOFxHohgVDQnAvOx9zBrZkhXIiIqL6SqcDPvgAmDVLvw43ACxbBkydWrtxmUF5IwUB4GpqrjgC0N2+7OssSwxXNyg+GrG8WIjov4tJdx1V/M6sQiZF35aeaNPIGRvjk7H8xyvY+kIXXF/6hNHrPu304I53QaEO68eGwc1eDmeFNbQ6HR7xdmKDQEREVF+lpQGdOwPXrukfDx0KrF8PuLpa5O1qI7EsbaSgUq1FTFxCpeZmW6qwLeeJE1FlsHp5HZWVb1xV88XuTaHVARvik3EsKR0A0KXY0l8B0/dAkDz4kcqkVghwt8eVf7IhlUgQ6OnIhJuIiKi+OnoUaNfuQcI9Zw6wY4fFEu7aXC/bWSFDM08HtGvsimaeDgCA6VVYSswwXN2Uqha25bJmRFRZTLrrKIXMGgqZFK/1DcK+SREY1MYXNlIrxP+bcBfv4W4y/VujhDsyyB3OdtZQabTo3NQNznZVu5NLREREtUytBuRyoEcP4PZt4JFH9MXSFi3SLw1mAXUtsazqUmKG4erFE+/qLJVqqWXNiOjhxeHldUSWUo30PDW0OgFaQUCuSoNvXw1HWo4KWfmFWPFzIkZ39gcEAac+Hm302jFrfwH+TcYBIDLQDTG9AqEVBDy1+hd8M7EbGrvZF39LIiIiquv++APo2PHB41GjgDVrAAcHi75tXStAVp252dUtbGvOWIjov4lJdx1wJzMfb+w+j1GdG2NjfDJO3czExyNDYS+XQgCgE4DRnf3h52qH2T9vgFt+tvjalvO+x7jGrogKD4C93Bp5Kg1Sc1TwdrLFs+t/g1KthVKtrb0PR0RERFWzezcwZMiDx/36AV9+WSNvXdcSy+rOza5qYVtLxEJE/z0cXl7LDMO3Qho6iwn3ylHtcT9XBbm1FCsPJWH0ut8Q8/nvOP3tYbSU6udRze/zEprM2AulWosVh5Kw6fh1KGRSNHS1g7WVBD9cvItbGfp9+eVPRERUj6jVwLRpxgn3t98CP/xQYyHUtcTSEnOzH4ZYiKh+YE93DSpaAdTZzgb2cmtk5qsxtW9z2NlI8enRa1g1qj1sbaxQqBMwf/d5HEtKh7VWg6T3hgAATn8ah7e7DsBmWTPxuOGBbpjYKxAOcmvcvp8PNwcZ5u+5AIBf/kRERPXKb78BXbo8ePzqq8DixRYfTl6cudfLrq7ylhKryaHudSkWIqofJIIgCLUdhCVlZ2fD2dkZWVlZcHJyqrU4ii4toZBJ8dHIUGz57QZGdfbHlt9uYGLPZsjM18DX2RZv7UvEuPAAjN/8B+zUBUj84H/icT7rNBipC5eifysv3LqfjwB3exRqdfj5UiqCvZ3g56rA/z45AaVaK375+3DpCiKiOqeutE/1wX/mXG3bBowfD+Tl6R9/8w0weHCthXMnM7/UxLK2ri0MHRjmmJv9MMVCRLWjou0Tk+4akKVUG60rGdM7EBfvZOG5Lk3g6SSHIAAFGi0UNtaQSIDr6Uo0bmAHXUYmQkKaiMf5vmV3vDJoOgBg1ej2iPvtBqb2ewRDV50AAHw5oTP8XO1wP0/NL38iojquLrRP9cVDf67S04GpU4HPPtM/DggAtmwx7vGuJUwsiYhKV9H2icPLa0DxCqBhjV3R0d8VcmsrvLUvEQk3M/HRyFC8f/wyjv9bhbyBMguni1Qpz3J0hc3XX0ERlwClWgsXOxs8HxGA7HwNACAi0A0NXezgbGfDSuVERET1xVdfASNG6P8tkQCzZwOxsYB13bhEM2cBMiKi/6q68Y3+kCteAdTVXobLKdnY/ecdHE9Kx5Q+Qdh0PFlMuL1y0vDbqihx/3S/pugw6iOEH0/GuIgA/HkrEwUaLb78VT88PTLIHfMHtYLC2ooNIxERUX0gCPqe7JMnH2zbtg14+unai4mIiCyCSXcNKF4BVG5jhVB/VzRwkGNM1ybwb6DA8h+vAAAU6nyjhPtko5bI+eEQsPkPHE9Kx8SegWjn54Iv/k24G7ra4Y1BLaGwsYIn524TERHVfdnZwIsvGifcZ88CrVvXXkxERGQxXDKsBjjYWiMi0A0AoJBJIbe2wpt7LmD85j9w7nYWbmfql/ZS2Fjh+5+Xia+7++TTOLp+JzS6B9PubaRWsJZI0NLXGZPiEpCWo0Lf949i5s5zyFKqa/aDERERUeX8/jsQGqrv1QaAxo2BwkIm3ERED7FaTbqXLFmCjh07wtHREZ6enhgyZAguXbpktI8gCIiNjYWvry/s7OzQs2dPXLhwoZYirpo8lQZR4QEID3TDjP6P4I1v9EuBAUConwsA4JHcf3Dwry+xPWIY7ilcMHjMMnRtMRYJNzMQ4GYPhUwKAMgpKETUpt+x4lASlGot1Fp9Qn70ShrScpl0ExER1Uk6HbBoEdCpE3DtGuDvD/zyC3DjRp2Zv01ERJZRq9/yR44cQXR0NDp27AiNRoM5c+agX79+uHjxIuzt9cXA3nnnHbz//vvYtGkTmjdvjkWLFqFv3764dOkSHB0dazP8cmUp1UjPU0Ot0cHbyRZT+zSHva015n97UdxHoxPgfO0yflg5HgDQvMUtdH9pHfJltgCA40npWLj3AsZFBCDhZgYSbmWKrw0PdMPpmxni45xic8eJiIioDkhLA8aOBfbt0z+2twfOnAFcXGozKiqFoWJ7dkEhnOxs4G7PYnJEVD21mnTv37/f6PHGjRvh6emJU6dOoXv37hAEAcuXL8ecOXMwbNgwAMDmzZvh5eWFLVu24KWXXipxTJVKBZVKJT7Ozs627IcoxZ3MfLyx+zye6dQYG/8tkhbTOxDt/+3ZBvRDzUPOxKPhsw+Kpuxv3k1MuA2OJaXj5X/nck+KSwCgT7ifDw8QHwOAY7G540RERFTLFiwA5s/X/1suB5YvB156SV+pnOqcO5n5mLHjrNGqM92D3PH2U23gy9o5RFRFdWpOd1ZWFgCgQYMGAIDk5GSkpKSgX79+4j5yuRw9evTAiRMnTB5jyZIlcHZ2Fv/4+flZPvBispRqzNhxFsE+TmLCDeiXCvNwkov7LdX+ZZRwj39qHvYFR5g8ptRKgkaudlj3XBg2RHVEaGNXTPp3+TBA3yC4O/AuLBERUZ2gVusTa0PC7eSkL5z28stMuOsow/Vb0YQb0E/hm7njLGvnEFGV1ZlJRIIgYOrUqYiIiEBISAgAICUlBQDg5eVltK+Xlxdu3Lhh8jizZs3C1KlTxcfZ2dk1nnin56nR1s8Fj4d4AwDGhQdAKwjwd1NApdFh/dgw+O6MQ4u5r4mvSVywDD/lPVLqMbU6Aa4KGZxsbTBzx1kcLXYHdulTbTj0iYiIqC64fRto1Mh425UrgKdn7cRDFZKWqy6RcBsYaufwWouIqqLOJN0xMTE4e/Ys4uPjSzwnKXZHWBCEEtsM5HI55HK5yedqiiAAV1NzILdpiD9vZmBDfDI+GhmKubvP43hSOvpe+RVrdy4S9495cjqadB6I8JsZYq94URGBbmjsagcvJ/2w849HhiItV42cgkI42trA3YFzjYiIiOqE777Tz982ePxx/Taq87LLqY3D2jlEVFV1Iul+9dVXsWfPHhw9ehSNitwZ9vbW9xSnpKTAx8dH3J6amlqi97uu+Ce7ACsPXcaMx4Ix798q5TG9A8Vh5oFpN7F612Jx/+f/Nx8/N+sIxb+JOQCjxDsyyB2LhoTAz81e3OasYJJNRERUpxQUAH37AobOg/btgU8/BTp0qN24qMKcyqmNw9o5RFRVtZp0C4KAV199Fbt27cLhw4cREBBg9HxAQAC8vb1x8OBBhIbqE1K1Wo0jR45g6dKltRFyubIK1Ih5tDluZxYYLQu24lASJIIOcw+th7Wgwz2FC75bthlqa08gKR1KtRaT4hIwLiIA48L158HH2Q5OdtZo5KqozY9EREREZbl6FXjmGeCPP/SPJ08Gli7VF06jesPdQYbuQe5GU/gMWDuHiKqjVgupRUdH44svvsCWLVvg6OiIlJQUpKSkID8/H4B+WPmUKVOwePFi7Nq1C+fPn0dUVBQUCgVGjRpVm6GblKVUQwIJ5u8+j6z8B0OQVBodnk3Yh+R3nsR73cdgR0hv9J2wCu/ckeH58ABEBroBAJRqLVYcSsLG48lwd5DDygpwlNeJwQhERERkymefAaGh+oTb1haYPl1foZwJd73jrJDh7afaoHuQu9F21s4houqSCIIg1NqblzIve+PGjYiKigKg7w1/8803sWbNGmRkZKBz585YuXKlWGytPNnZ2XB2dkZWVhacnJzMFbpJ19NyUaDR4bHlx7ApqiP+uJmBUD8XtFm+CB6frtDHI1OgzWtfia9RyKTY+mIX3MvRL3PmZi+H3NoKiXezcDMjH4Pa+KKZp4NF4yYioppXk+1TfVcnz1VaGuDh8eBxRASwZQtQC6umkHkZ1ulm7RwiKk9F26daH15eHolEgtjYWMTGxlo+oGq4lZ6H/EIdsvMLsfn5TvBxtsWZ+GuInPA/eNw6L+736AufGL0utLELDlz8B3/ezMD8J1vh7/v5mLjlNLa91AVzd19Az+Yexd+KiIiIatO2bfrh5Aa9egEHDgDWHJ32MGDtHCIyN7YOZnAjPQ9zd50T53DH9A5Ews0MvDFrBB5Juynu9/L7+3DvH534ODLQHfOfbIWcAjV8nW1x634+orechlKtxd8Z+VCqtSzaQUREVFcIArBuHfDiiw+2zZ0LLFxYezEREVGdx6S7mv7JLjBKuAF94bSxw7rAIy9T3BYxNQ5DWjXF+sdcYC+3Rp5Kg4RbmdDodMhSanAnqwCLvkuEUq0FAMikVizaQUREVFdkZemT7a8eTBHD+fNAq1a1FxMREdULTLqr6X6e2ijhBoDGH71jlHC3mbwV2TYOWHEoCQCwanR7TPzyNCKD3GFtJcHyH68YvT480A2pOSoW7SAiIqoLTp4EOnfW/9vaGli8GHj9dcCqVuvREhFRPcGkuxqylPoiG0UNvvAzAvctFx+3fG07lDI7o33k1laIDHLH/EGt8Pb3iUbPRQa5Y+HgELgqbJhwExER1SadDvjgA2DmzAfb4uMfJOBEREQVwKS7iu5k5mPG12cxe2ALcZtE0KFRViokOh0Ohz+BCV0nQCM1PsWRge7wd1NgzuPBUFhbYdnTbVkhk4iIqK65eNF46PjTTwOffAI0aFB7MRERUb3EcVFV8E92Aa6n5WFk58awkgBLhrXG+D/3YfNX87Gu01BMHDEfmjWfossjXkaviwh0w7xBLfHBwctwtZfDt4ECzgoZmnk6oF1jVzTzdGDCTUREVNvmzzdOuNes0VcsZ8JNRERVwJ7uSshSqpGhLMS8b4wLpx3aOg0jb/wFAHjy4mFsb9MPBb/fwpyBLSGRAJl5hbC3lSI1W4WPfryMuQNbwsvJtrY+BhEREZmi0QBNmgC3bz/YFhdnvDwYERFRJTHprqDb95XILijEon2JOF4k4f5r2TDYatQAgIzoyfjfa3MxRq4/rYf++gcanYAQX2fkqTXwc1XgraGt2ZtNRERU1/z9NzBqlHHCnZoKeHjUXkxERPRQYNJdAbczlDhy5R783ewfJNyCgOvvDBL3UUlt8Ndrc5Gn1uKjn5OMEvPIIHe8NSQEjd3sazp0IiIiKs+yZfqK5PfvAw4OwLx5wPTptR0VERE9JJh0lyNLqcaNdCW8nGyRlf9vpfJiCfc9exd0jPkCn+sENFDYYO7AlhAAKFUaONpaw0Uh43ByIiKiukal0lcmX75c/7h9e/3c7cDAWg2LiIgeLky6y5GWq0bmv8m23NoKEkGHT3cuEp9PatAIfV74BADg7iBHdn4h5DoBzgobtPRxqpWYiYiIqBxXrujnap8+rX/s4wOcOAHI5bUbFxERPXRYvbwc2QWFkFtbQW5thYRbmfj4zFb0TToJADjlGywm3JFB7rCzsYKHoxyNXO3QyFVRm2ETERFRaQYNApo31yfcDRoA334L3LnDhJuIiCyCPd3lcLK1wU9/pcLX2RYX72Qh4uXxyPrle8R2fx67QnoD0C8FtnBwCJq4c842ERFRnbZnD7B374PHf/4JNGpUe/EQEdFDjz3d5XB3kOHS3Wz4ONvhhcim+DTLAZs3H8QT707HqtHtsWVCZ8wd2BJSSW1HSkREVH2rVq1CQEAAbG1t0aFDBxw7dqzUfXfu3Im+ffvCw8MDTk5O6Nq1K3744YcS+2VmZiI6Oho+Pj6wtbVFixYtsG/fPkt+jNJ5ewNOTvpe7YICJtxERGRxTLrL4ayQ4c3BIdjy2w2cvH4fU/o0R8+OzeAgt0YTN3ukZOUjp6AQTnY2tR0qERFRtWzbtg1TpkzBnDlzkJCQgMjISAwYMAA3b940uf/Ro0fRt29f7Nu3D6dOnUKvXr0waNAgJCQkiPuo1Wr07dsX169fx9dff41Lly5h7dq1aNiwYU19LGOdOgFZWfqEm8PJiYioBkgEQRBqOwhLys7OhrOzM7KysuDkVPXCZllKNVKyC5Ceq4ajnTU0WgFZykLczS5Ar+Ye8HaxM2PURET0sDNX+2ROnTt3Rvv27bF69WpxW4sWLTBkyBAsWbKkQsdo1aoVRowYgTfeeAMA8Mknn+Ddd9/FX3/9BRubit2gVqlUUKlU4uPs7Gz4+fnVqXNFRERU0bacPd0V5KyQ4RFvJ7TydYLCxhoSAH4NFHg8xJsJNxER1XtqtRqnTp1Cv379jLb369cPJ06cqNAxdDodcnJy0KBBA3Hbnj170LVrV0RHR8PLywshISFYvHgxtFptqcdZsmQJnJ2dxT9+fn5V+1BERER1AAupVZKzQgZnhay2wyAiIjKrtLQ0aLVaeHl5GW338vJCSkpKhY6xbNky5OXlYfjw4eK2a9eu4dChQxg9ejT27duHK1euIDo6GhqNRuwNL27WrFmYOnWq+NjQ001ERFQfMekmIiIikURiXBlUEIQS20yJi4tDbGwsdu/eDU9PT3G7TqeDp6cnPv30U0ilUnTo0AF37tzBu+++W2rSLZfLIed8ayIiekgw6SYiIiK4u7tDKpWW6NVOTU0t0ftd3LZt2zB+/Hhs374dffr0MXrOx8cHNjY2kEql4rYWLVogJSUFarUaMhlHjxER0cONc7qJiIgIMpkMHTp0wMGDB422Hzx4EN26dSv1dXFxcYiKisKWLVswcODAEs+Hh4cjKSkJOp1O3Hb58mX4+Pgw4SYiov8EJt1EREQEAJg6dSrWrVuHDRs2IDExEa+99hpu3ryJl19+GYB+rvVzzz0n7h8XF4fnnnsOy5YtQ5cuXZCSkoKUlBRkZWWJ+7zyyitIT0/H5MmTcfnyZXz33XdYvHgxoqOja/zzERER1QYOLyciIiIAwIgRI5Ceno4FCxbg7t27CAkJwb59++Dv7w8AuHv3rtGa3WvWrIFGo0F0dLRREj127Fhs2rQJAODn54cDBw7gtddeQ5s2bdCwYUNMnjwZM2bMqNHPRkREVFu4TjcREVEtYPtUcTxXRERUF3GdbiIiIiIiIqJaxqSbiIiIiIiIyEKYdBMRERERERFZCJNuIiIiIiIiIgth0k1ERERERERkIUy6iYiIiIiIiCyESTcRERERERGRhVjXdgCWZliGPDs7u5YjISIiesDQLhnaKSod23IiIqqLKtqWP/RJd05ODgDAz8+vliMhIiIqKScnB87OzrUdRp3GtpyIiOqy8tpyifCQ32LX6XS4c+cOHB0dIZFIajsck7Kzs+Hn54dbt27BycmptsN5KPCcWgbPq/nxnJpffTmngiAgJycHvr6+sLLibK+yVKctry+/D6Vh/LWnPscOMP7axvhrV03FX9G2/KHv6bayskKjRo1qO4wKcXJyqpe/1HUZz6ll8LyaH8+p+dWHc8oe7ooxR1teH34fysL4a099jh1g/LWN8deumoi/Im05b60TERERERERWQiTbiIiIiIiIiILYdJdB8jlcsyfPx9yuby2Q3lo8JxaBs+r+fGcmh/PKRVV338fGH/tqc+xA4y/tjH+2lXX4n/oC6kRERERERER1Rb2dBMRERERERFZCJNuIiIiIiIiIgth0k1ERERERERkIUy6iYiIiIiIiCyESXcNWbJkCTp27AhHR0d4enpiyJAhuHTpktE+giAgNjYWvr6+sLOzQ8+ePXHhwoVairjuW716Ndq0aSMuet+1a1d8//334vM8n9W3ZMkSSCQSTJkyRdzG81p5sbGxkEgkRn+8vb3F53lOq+b27dt49tln4ebmBoVCgXbt2uHUqVPi8zyvD6dVq1YhICAAtra26NChA44dO1bqvjt37kTfvn3h4eEhthM//PBDif0yMzMRHR0NHx8f2NraokWLFti3b1+9iL9nz54lvl8kEgkGDhxYL+IHgOXLl+ORRx6BnZ0d/Pz88Nprr6GgoKBexF9YWIgFCxagWbNmsLW1Rdu2bbF//36LxF7Z+OPj4xEeHg43NzfY2dkhODgYH3zwQYn9duzYgZYtW0Iul6Nly5bYtWtXvYj9woULeOqpp9CkSRNIJBIsX77cInFbKv61a9ciMjISrq6ucHV1RZ8+fXDy5Ml6E//OnTsRFhYGFxcX2Nvbo127dvj888/rTfxFbd26FRKJBEOGDLFA5P8SqEb0799f2Lhxo3D+/HnhzJkzwsCBA4XGjRsLubm54j5vv/224OjoKOzYsUM4d+6cMGLECMHHx0fIzs6uxcjrrj179gjfffedcOnSJeHSpUvC7NmzBRsbG+H8+fOCIPB8VtfJkyeFJk2aCG3atBEmT54sbud5rbz58+cLrVq1Eu7evSv+SU1NFZ/nOa28+/fvC/7+/kJUVJTw22+/CcnJycKPP/4oJCUlifvwvD58tm7dKtjY2Ahr164VLl68KEyePFmwt7cXbty4YXL/yZMnC0uXLhVOnjwpXL58WZg1a5ZgY2MjnD59WtxHpVIJYWFhwuOPPy7Ex8cL169fF44dOyacOXOmXsSfnp5u9N1y/vx5QSqVChs3bqwX8X/xxReCXC4XvvzySyE5OVn44YcfBB8fH2HKlCn1Iv7p06cLvr6+wnfffSdcvXpVWLVqlWBra2u0T23Ff/r0aWHLli3C+fPnheTkZOHzzz8XFAqFsGbNGnGfEydOCFKpVFi8eLGQmJgoLF68WLC2thZ+/fXXOh/7yZMnhWnTpglxcXGCt7e38MEHH5g1ZkvHP2rUKGHlypVCQkKCkJiYKDz//POCs7Oz8Pfff9eL+H/++Wdh586dwsWLF4WkpCRh+fLlglQqFfbv318v4je4fv260LBhQyEyMlIYPHiw2WM3YNJdS1JTUwUAwpEjRwRBEASdTid4e3sLb7/9trhPQUGB4OzsLHzyySe1FWa94+rqKqxbt47ns5pycnKEoKAg4eDBg0KPHj3EpJvntWrmz58vtG3b1uRzPKdVM2PGDCEiIqLU53leH06dOnUSXn75ZaNtwcHBwsyZMyt8jJYtWwpvvvmm+Hj16tVC06ZNBbVabbY4S2OJ+Iv74IMPBEdHR6Ob+uZiifijo6OF3r17G+0zderUMv9/V5Ul4vfx8RFWrFhhtM/gwYOF0aNHVy9YE8wR/9ChQ4Vnn31WfDx8+HDhscceM9qnf//+wjPPPFO9YIuxROxF+fv7WzTptnT8giAIGo1GcHR0FDZv3lzlOEtTE/ELgiCEhoYKc+fOrVKMZbFU/BqNRggPDxfWrVsnjB071qJJN4eX15KsrCwAQIMGDQAAycnJSElJQb9+/cR95HI5evTogRMnTtRKjPWJVqvF1q1bkZeXh65du/J8VlN0dDQGDhyIPn36GG3nea26K1euwNfXFwEBAXjmmWdw7do1ADynVbVnzx6EhYXh6aefhqenJ0JDQ7F27VrxeZ7Xh49arcapU6eMfqYA0K9fvwr/THU6HXJycsS2F9D/LnXt2hXR0dHw8vJCSEgIFi9eDK1WWy/iL279+vV45plnYG9vX614i7NU/BERETh16pQ4rPbatWvYt2+f2YfHWyp+lUoFW1tbo/3s7OwQHx9f/aCLMEf8CQkJOHHiBHr06CFu++WXX0ocs3///mb9nrRU7DWlpuJXKpUoLCws8/93VdRE/IIg4KeffsKlS5fQvXv3asdclCXjX7BgATw8PDB+/HizxVsaa4u/A5UgCAKmTp2KiIgIhISEAABSUlIAAF5eXkb7enl54caNGzUeY31x7tw5dO3aFQUFBXBwcMCuXbvQsmVL8T8hz2flbd26FadPn8bvv/9e4jn+nlZN586d8dlnn6F58+b4559/sGjRInTr1g0XLlzgOa2ia9euYfXq1Zg6dSpmz56NkydPYtKkSZDL5Xjuued4Xh9CaWlp0Gq1Jn+mhp93eZYtW4a8vDwMHz5c3Hbt2jUcOnQIo0ePxr59+3DlyhVER0dDo9HgjTfeqPPxF3Xy5EmcP38e69evr3a8xVkq/meeeQb37t1DREQEBEGARqPBK6+8gpkzZ9aL+Pv374/3338f3bt3R7NmzfDTTz9h9+7dZr9pU534GzVqhHv37kGj0SA2NhYTJkwQn0tJSanWOanN2GtKTcU/c+ZMNGzYsESHR3VZMv6srCw0bNgQKpUKUqkUq1atQt++fetF/MePH8f69etx5swZs8ZbGibdtSAmJgZnz541eRdUIpEYPRYEocQ2euCRRx7BmTNnkJmZiR07dmDs2LE4cuSI+DzPZ+XcunULkydPxoEDB0rcuS+K57VyBgwYIP67devW6Nq1K5o1a4bNmzejS5cuAHhOK0un0yEsLAyLFy8GAISGhuLChQtYvXo1nnvuOXE/nteHT1V/pnFxcYiNjcXu3bvh6ekpbtfpdPD09MSnn34KqVSKDh064M6dO3j33XfNmnRbKv6i1q9fj5CQEHTq1MkssZpi7vgPHz6Mt956C6tWrULnzp2RlJSEyZMnw8fHB/Pmzavz8X/44Yd44YUXEBwcDIlEgmbNmuH555/Hxo0bzR47ULX4jx07htzcXPz666+YOXMmAgMDMXLkyGodsyosEXtNsmT877zzDuLi4nD48OEyr7+qwxLxOzo64syZM8jNzcVPP/2EqVOnomnTpujZs2edjj8nJwfPPvss1q5dC3d3d7PHagqT7hr26quvYs+ePTh69CgaNWokbjdUMk5JSYGPj4+4PTU1tcSdHXpAJpMhMDAQABAWFobff/8dH374IWbMmAGA57OyTp06hdTUVHTo0EHcptVqcfToUaxYsUKsuM/zWj329vZo3bo1rly5IlbK5DmtHB8fH7Rs2dJoW4sWLbBjxw4A/E59GLm7u0MqlZbo2ajIz3Tbtm0YP348tm/fXqIXycfHBzY2NpBKpeK2Fi1aICUlBWq1GjKZrE7Hb6BUKrF161YsWLDALPEWZ6n4582bhzFjxog9UK1bt0ZeXh5efPFFzJkzB1ZW5pkJaan4PTw88M0336CgoADp6enw9fXFzJkzERAQYJa4zRG/IZbWrVvjn3/+QWxsrJg4eXt7V+mYdSH2mmLp+N977z0sXrwYP/74I9q0aWPe4GHZ+K2srMTr8Hbt2iExMRFLliwxa9JtifivXr2K69evY9CgQeK+Op0OAGBtbY1Lly6hWbNmZvsMAJcMqzGCICAmJgY7d+7EoUOHSnwZBwQEwNvbGwcPHhS3qdVqHDlyBN26davpcOstQRCgUql4Pqvo0Ucfxblz53DmzBnxT1hYGEaPHo0zZ86gadOmPK9moFKpkJiYCB8fH/6uVlF4eHiJZRcvX74Mf39/APxOfRjJZDJ06NDB6GcKAAcPHizzZxoXF4eoqChs2bLF5Dzh8PBwJCUliRdcgP53ycfHx2wJtyXjN/jqq6+gUqnw7LPPmi3moiwVv1KpLJFYS6VSCPpiv+YJHpY//7a2tmjYsCE0Gg127NiBwYMHmy12oOrxF2e4TjLo2rVriWMeOHDArN+Tloq9plgy/nfffRcLFy7E/v37ERYWZpZ4i6vJ82+Jn5El4g8ODi5xvfvkk0+iV69eOHPmDPz8/Mz6GQwBUA145ZVXBGdnZ+Hw4cNGS3solUpxn7fffltwdnYWdu7cKZw7d04YOXIkl7cpw6xZs4SjR48KycnJwtmzZ4XZs2cLVlZWwoEDBwRB4Pk0l6LVywWB57UqXn/9deHw4cPCtWvXhF9//VV44oknBEdHR+H69euCIPCcVsXJkycFa2tr4a233hKuXLkifPnll4JCoRC++OILcR+e14ePYdmY9evXCxcvXhSmTJki2Nvbi/+XZs6cKYwZM0bcf8uWLYK1tbWwcuVKo7Y3MzNT3OfmzZuCg4ODEBMTI1y6dEnYu3ev4OnpKSxatKhexG8QEREhjBgxwuwxWzr++fPnC46OjkJcXJxw7do14cCBA0KzZs2E4cOH14v4f/31V2HHjh3C1atXhaNHjwq9e/cWAgIChIyMjFqPf8WKFcKePXuEy5cvC5cvXxY2bNggODk5CXPmzBH3OX78uCCVSoW3335bSExMFN5++22LLhlmzthVKpWQkJAgJCQkCD4+PsK0adOEhIQE4cqVK2aN3VLxL126VJDJZMLXX39t9PuVk5NTL+JfvHixcODAAeHq1atCYmKisGzZMsHa2lpYu3ZtvYi/OEtXL2fSXUMAmPxTdB1NnU4nzJ8/X/D29hbkcrnQvXt34dy5c7UXdB03btw4wd/fX5DJZIKHh4fw6KOPigm3IPB8mkvxpJvntfIM60Pb2NgIvr6+wrBhw4QLFy6Iz/OcVs23334rhISECHK5XAgODhY+/fRTo+d5Xh9OK1euFL/727dvLy69KQj6i6YePXqIj3v06GGy7R07dqzRMU+cOCF07txZkMvlQtOmTYW33npL0Gg09Sb+S5cuCQCM2kBLMXf8hYWFQmxsrNCsWTPB1tZW8PPzEyZOnGiRpNUS8R8+fFho0aKFIJfLBTc3N2HMmDHC7du3LRJ7ZeP/6KOPhFatWgkKhUJwcnISQkNDhVWrVglardbomNu3bxceeeQRwcbGRggODhZ27NhRL2JPTk42+fMpepy6HL+/v7/J+OfPn18v4p8zZ44QGBgo2NraCq6urkLXrl2FrVu3WiR2S8RfnKWTbokgmHHsDhERERERERGJOKebiIiIiIiIyEKYdBMRERERERFZCJNuIiIiIiIiIgth0k1ERERERERkIUy6iYiIiIiIiCyESTcRERERERGRhTDpJiIiIiIiIrIQJt1EREREREREFsKkm4hM6tmzJ6ZMmVKrMfz111/o0qULbG1t0a5du1qNhYiIqL5hW05UNzDpJjITiURS5p+oqKgaiWPQoEHo06ePyed++eUXSCQSnD59ukZiqa758+fD3t4ely5dwk8//WTWY2/atMnkz8nW1tas70NERPUH23Lzq8m23MfHB8OHD0dycrJZ34eouqxrOwCih8Xdu3fFf2/btg1vvPEGLl26JG6zs7Mz2r+wsBA2NjZmj2P8+PEYNmwYbty4AX9/f6PnNmzYgHbt2qF9+/Zmf19LuHr1KgYOHFjic1SGWq2GTCYz+ZyTk5PRzwjQX3AREdF/E9ty86uptlwQBPz111946aWX8OSTT+LMmTOQSqVVfk8ic2JPN5GZeHt7i3+cnZ0hkUjExwUFBXBxccFXX32Fnj17wtbWFl988QViY2NLDLVavnw5mjRpYrRt48aNaNGiBWxtbREcHIxVq1aVGscTTzwBT09PbNq0yWi7UqnEtm3bMH78eKSnp2PkyJFo1KgRFAoFWrdujbi4uDI/n0QiwTfffGO0zcXFxeh9bt++jREjRsDV1RVubm4YPHgwrl+/Lj5/+PBhdOrUCfb29nBxcUF4eDhu3LhR6vudOnUKCxYsgEQiQWxsLADg3Llz6N27N+zs7ODm5oYXX3wRubm54uuioqIwZMgQLFmyBL6+vmjevHmZn6noz83b2xteXl5lngciInp4sS2vv225j48PevXqhfnz5+P8+fNISkoq81wQ1SQm3UQ1aMaMGZg0aRISExPRv3//Cr1m7dq1mDNnDt566y0kJiZi8eLFmDdvHjZv3mxyf2trazz33HPYtGkTBEEQt2/fvh1qtRqjR49GQUEBOnTogL179+L8+fN48cUXMWbMGPz2229V/mxKpRK9evWCg4MDjh49ivj4eDg4OOCxxx6DWq2GRqPBkCFD0KNHD5w9exa//PILXnzxxVJ7lu/evYtWrVrh9ddfx927dzFt2jQolUo89thjcHV1xe+//47t27fjxx9/RExMjNFrf/rpJyQmJuLgwYPYu3dvlT8TERFRcWzL63ZbbhiNUFhYWOXzQGRuHF5OVIOmTJmCYcOGVeo1CxcuxLJly8TXBQQE4OLFi1izZg3Gjh1r8jXjxo3Du+++i8OHD6NXr14A9MPRhg0bBldXV7i6umLatGni/q+++ir279+P7du3o3PnzlX6bFu3boWVlRXWrVsnNr4bN26Ei4sLDh8+jLCwMGRlZeGJJ55As2bNAAAtWrQo9Xje3t6wtraGg4MDvL29AegvWvLz8/HZZ5/B3t4eALBixQoMGjQIS5cuFXup7e3tsW7dulKHohlkZWXBwcHBaFu3bt1w4MCBKp0DIiJ6+LEtr1tteVF///033n33XTRq1KjM3nGimsakm6gGhYWFVWr/e/fu4datWxg/fjxeeOEFcbtGo4Gzs3OprwsODka3bt2wYcMG9OrVC1evXsWxY8fEZFKr1eLtt9/Gtm3bcPv2bahUKqhUKrHxq4pTp04hKSkJjo6ORtsLCgpw9epV9OvXD1FRUejfvz/69u2LPn36YPjw4fDx8anweyQmJqJt27ZGcYaHh0On0+HSpUtiQ926desKNdKOjo4lCtEUn69HRERUFNvyutWWG26gC4IApVKJ9u3bY+fOnZVK1oksjUk3UQ0q3hBaWVkZDRsDjIdD6XQ6APq7wsXvWpdXHGT8+PGIiYnBypUrsXHjRvj7++PRRx8FACxbtgwffPABli9fjtatW8Pe3h5TpkyBWq0u9XgSiaTcWDt06IAvv/yyxGs9PDwA6O+WT5o0Cfv378e2bdswd+5cHDx4EF26dCnzsxgIglDqELai2yt6wWFlZYXAwMAK7UtERASwLa9rbbnhBrqVlRW8vLyqddOByFKYdBPVIg8PD6SkpBg1QGfOnBGf9/LyQsOGDXHt2jWMHj26UscePnw4Jk+ejC1btmDz5s144YUXxPc4duwYBg8ejGeffRaAvpG9cuVKmUPEPDw8jKq6XrlyBUqlUnzcvn17bNu2DZ6ennBycir1OKGhoQgNDcWsWbPQtWtXbNmypcINdcuWLbF582bk5eWJjerx48dhZWXFYWRERFQr2JbXblvOG+hUH7CQGlEt6tmzJ+7du4d33nkHV69excqVK/H9998b7RMbG4slS5bgww8/xOXLl3Hu3Dls3LgR77//fpnHdnBwwIgRIzB79mzcuXPHaG3RwMBAHDx4ECdOnEBiYiJeeuklpKSklHm83r17Y8WKFTh9+jT++OMPvPzyy0bLpIwePRru7u4YPHgwjh07huTkZBw5cgSTJ0/G33//jeTkZMyaNQu//PILbty4gQMHDuDy5ctlXhwUN3r0aNja2mLs2LE4f/48fv75Z7z66qsYM2ZMlaqOC4KAlJSUEn8MvRJERETlYVteu205UX3ApJuoFrVo0QKrVq3CypUr0bZtW5w8edKoKAoATJgwAevWrcOmTZvQunVr9OjRA5s2bUJAQEC5xx8/fjwyMjLQp08fNG7cWNw+b948tG/fHv3790fPnj3h7e2NIUOGlHmsZcuWwc/PD927d8eoUaMwbdo0KBQK8XmFQoGjR4+icePGGDZsGFq0aIFx48YhPz8fTk5OUCgU+Ouvv/DUU0+hefPmePHFFxETE4OXXnqpwudLoVDghx9+wP3799GxY0f873//w6OPPooVK1ZU+BhFZWdnw8fHp8Sf1NTUKh2PiIj+e9iW125bTlQfSITiEzuIiIiIiIiIyCzY001ERERERERkIUy6iYiIiIiIiCyESTcRERERERGRhTDpJiIiIiIiIrIQJt1EREREREREFsKkm4iIiIiIiMhCmHQTERERERERWQiTbiIiIiIiIiILYdJNREREREREZCFMuomIiIiIiIgshEk3ERERERERkYX8Pw5QnPiD3053AAAAAElFTkSuQmCC",
+      "text/plain": [
+       "<Figure size 1000x1000 with 4 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "########################################################################################\n",
+    "#\n",
+    "#                    Validation of the neural net\n",
+    "#\n",
+    "########################################################################################\n",
+    "# Print the loss per epoch\n",
+    "#plot_loss(hydration_history, 'Hydration', train_input.shape[0])\n",
+    "\n",
+    "# Evaluation of performance of the network\n",
+    "predicted_values = elasticity_NN(test_input.to_numpy()).numpy()\n",
+    "model_perf = evaluate_predictions(test_elastic, predicted_values)\n",
+    "#model_perf.to_csv('model_perf/elasticity_NN_2^15.csv')\n",
+    "print(model_perf)\n",
+    "# Plot the true vs predicted plot\n",
+    "plot_true_vs_predicted(test_elastic, predicted_values, 'elasticity_NN')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "993bb314-70d9-4106-a888-292bc2c180db",
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "KeyboardInterrupt",
+     "evalue": "",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[15], line 8\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;66;03m########################################################################################\u001b[39;00m\n\u001b[1;32m      2\u001b[0m \u001b[38;5;66;03m#\u001b[39;00m\n\u001b[1;32m      3\u001b[0m \u001b[38;5;66;03m#                    GAUSSIAN PROCESS\u001b[39;00m\n\u001b[1;32m      4\u001b[0m \u001b[38;5;66;03m#\u001b[39;00m\n\u001b[1;32m      5\u001b[0m \u001b[38;5;66;03m########################################################################################\u001b[39;00m\n\u001b[1;32m      6\u001b[0m kernel \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m1\u001b[39m\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m2\u001b[39m \u001b[38;5;241m*\u001b[39m Matern(length_scale\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m1\u001b[39m, nu\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m1.5\u001b[39m)\n\u001b[0;32m----> 8\u001b[0m gpg \u001b[38;5;241m=\u001b[39m \u001b[43mGaussianProcessRegressor\u001b[49m\u001b[43m(\u001b[49m\u001b[43mkernel\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfit\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtrain_input_gp\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtrain_elastic_gp\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m      9\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m=====================================================\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m     10\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mThe score for the Gaussian Process for hydration is: \u001b[39m\u001b[38;5;124m'\u001b[39m, gpg\u001b[38;5;241m.\u001b[39mscore(train_input_gp, train_elastic_gp))\n",
+      "File \u001b[0;32m/mnt/disk1/anaconda3/envs/gems/lib/python3.10/site-packages/sklearn/base.py:1474\u001b[0m, in \u001b[0;36m_fit_context.<locals>.decorator.<locals>.wrapper\u001b[0;34m(estimator, *args, **kwargs)\u001b[0m\n\u001b[1;32m   1467\u001b[0m     estimator\u001b[38;5;241m.\u001b[39m_validate_params()\n\u001b[1;32m   1469\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m config_context(\n\u001b[1;32m   1470\u001b[0m     skip_parameter_validation\u001b[38;5;241m=\u001b[39m(\n\u001b[1;32m   1471\u001b[0m         prefer_skip_nested_validation \u001b[38;5;129;01mor\u001b[39;00m global_skip_validation\n\u001b[1;32m   1472\u001b[0m     )\n\u001b[1;32m   1473\u001b[0m ):\n\u001b[0;32m-> 1474\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfit_method\u001b[49m\u001b[43m(\u001b[49m\u001b[43mestimator\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m/mnt/disk1/anaconda3/envs/gems/lib/python3.10/site-packages/sklearn/gaussian_process/_gpr.py:307\u001b[0m, in \u001b[0;36mGaussianProcessRegressor.fit\u001b[0;34m(self, X, y)\u001b[0m\n\u001b[1;32m    302\u001b[0m         \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;241m-\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mlog_marginal_likelihood(theta, clone_kernel\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m)\n\u001b[1;32m    304\u001b[0m \u001b[38;5;66;03m# First optimize starting from theta specified in kernel\u001b[39;00m\n\u001b[1;32m    305\u001b[0m optima \u001b[38;5;241m=\u001b[39m [\n\u001b[1;32m    306\u001b[0m     (\n\u001b[0;32m--> 307\u001b[0m         \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_constrained_optimization\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    308\u001b[0m \u001b[43m            \u001b[49m\u001b[43mobj_func\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mkernel_\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtheta\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mkernel_\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mbounds\u001b[49m\n\u001b[1;32m    309\u001b[0m \u001b[43m        \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    310\u001b[0m     )\n\u001b[1;32m    311\u001b[0m ]\n\u001b[1;32m    313\u001b[0m \u001b[38;5;66;03m# Additional runs are performed from log-uniform chosen initial\u001b[39;00m\n\u001b[1;32m    314\u001b[0m \u001b[38;5;66;03m# theta\u001b[39;00m\n\u001b[1;32m    315\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mn_restarts_optimizer \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m0\u001b[39m:\n",
+      "File \u001b[0;32m/mnt/disk1/anaconda3/envs/gems/lib/python3.10/site-packages/sklearn/gaussian_process/_gpr.py:656\u001b[0m, in \u001b[0;36mGaussianProcessRegressor._constrained_optimization\u001b[0;34m(self, obj_func, initial_theta, bounds)\u001b[0m\n\u001b[1;32m    654\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_constrained_optimization\u001b[39m(\u001b[38;5;28mself\u001b[39m, obj_func, initial_theta, bounds):\n\u001b[1;32m    655\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39moptimizer \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mfmin_l_bfgs_b\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[0;32m--> 656\u001b[0m         opt_res \u001b[38;5;241m=\u001b[39m \u001b[43mscipy\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptimize\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mminimize\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    657\u001b[0m \u001b[43m            \u001b[49m\u001b[43mobj_func\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    658\u001b[0m \u001b[43m            \u001b[49m\u001b[43minitial_theta\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    659\u001b[0m \u001b[43m            \u001b[49m\u001b[43mmethod\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mL-BFGS-B\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m    660\u001b[0m \u001b[43m            \u001b[49m\u001b[43mjac\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m    661\u001b[0m \u001b[43m            \u001b[49m\u001b[43mbounds\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mbounds\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    662\u001b[0m \u001b[43m        \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    663\u001b[0m         _check_optimize_result(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mlbfgs\u001b[39m\u001b[38;5;124m\"\u001b[39m, opt_res)\n\u001b[1;32m    664\u001b[0m         theta_opt, func_min \u001b[38;5;241m=\u001b[39m opt_res\u001b[38;5;241m.\u001b[39mx, opt_res\u001b[38;5;241m.\u001b[39mfun\n",
+      "File \u001b[0;32m/mnt/disk1/anaconda3/envs/gems/lib/python3.10/site-packages/scipy/optimize/_minimize.py:713\u001b[0m, in \u001b[0;36mminimize\u001b[0;34m(fun, x0, args, method, jac, hess, hessp, bounds, constraints, tol, callback, options)\u001b[0m\n\u001b[1;32m    710\u001b[0m     res \u001b[38;5;241m=\u001b[39m _minimize_newtoncg(fun, x0, args, jac, hess, hessp, callback,\n\u001b[1;32m    711\u001b[0m                              \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39moptions)\n\u001b[1;32m    712\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m meth \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124ml-bfgs-b\u001b[39m\u001b[38;5;124m'\u001b[39m:\n\u001b[0;32m--> 713\u001b[0m     res \u001b[38;5;241m=\u001b[39m \u001b[43m_minimize_lbfgsb\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfun\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mx0\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mjac\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mbounds\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    714\u001b[0m \u001b[43m                           \u001b[49m\u001b[43mcallback\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcallback\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    715\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m meth \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtnc\u001b[39m\u001b[38;5;124m'\u001b[39m:\n\u001b[1;32m    716\u001b[0m     res \u001b[38;5;241m=\u001b[39m _minimize_tnc(fun, x0, args, jac, bounds, callback\u001b[38;5;241m=\u001b[39mcallback,\n\u001b[1;32m    717\u001b[0m                         \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39moptions)\n",
+      "File \u001b[0;32m/mnt/disk1/anaconda3/envs/gems/lib/python3.10/site-packages/scipy/optimize/_lbfgsb_py.py:369\u001b[0m, in \u001b[0;36m_minimize_lbfgsb\u001b[0;34m(fun, x0, args, jac, bounds, disp, maxcor, ftol, gtol, eps, maxfun, maxiter, iprint, callback, maxls, finite_diff_rel_step, **unknown_options)\u001b[0m\n\u001b[1;32m    363\u001b[0m task_str \u001b[38;5;241m=\u001b[39m task\u001b[38;5;241m.\u001b[39mtobytes()\n\u001b[1;32m    364\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m task_str\u001b[38;5;241m.\u001b[39mstartswith(\u001b[38;5;124mb\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mFG\u001b[39m\u001b[38;5;124m'\u001b[39m):\n\u001b[1;32m    365\u001b[0m     \u001b[38;5;66;03m# The minimization routine wants f and g at the current x.\u001b[39;00m\n\u001b[1;32m    366\u001b[0m     \u001b[38;5;66;03m# Note that interruptions due to maxfun are postponed\u001b[39;00m\n\u001b[1;32m    367\u001b[0m     \u001b[38;5;66;03m# until the completion of the current minimization iteration.\u001b[39;00m\n\u001b[1;32m    368\u001b[0m     \u001b[38;5;66;03m# Overwrite f and g:\u001b[39;00m\n\u001b[0;32m--> 369\u001b[0m     f, g \u001b[38;5;241m=\u001b[39m \u001b[43mfunc_and_grad\u001b[49m\u001b[43m(\u001b[49m\u001b[43mx\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    370\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m task_str\u001b[38;5;241m.\u001b[39mstartswith(\u001b[38;5;124mb\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mNEW_X\u001b[39m\u001b[38;5;124m'\u001b[39m):\n\u001b[1;32m    371\u001b[0m     \u001b[38;5;66;03m# new iteration\u001b[39;00m\n\u001b[1;32m    372\u001b[0m     n_iterations \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;241m1\u001b[39m\n",
+      "File \u001b[0;32m/mnt/disk1/anaconda3/envs/gems/lib/python3.10/site-packages/scipy/optimize/_differentiable_functions.py:296\u001b[0m, in \u001b[0;36mScalarFunction.fun_and_grad\u001b[0;34m(self, x)\u001b[0m\n\u001b[1;32m    294\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m np\u001b[38;5;241m.\u001b[39marray_equal(x, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mx):\n\u001b[1;32m    295\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_update_x_impl(x)\n\u001b[0;32m--> 296\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_update_fun\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    297\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_update_grad()\n\u001b[1;32m    298\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mf, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mg\n",
+      "File \u001b[0;32m/mnt/disk1/anaconda3/envs/gems/lib/python3.10/site-packages/scipy/optimize/_differentiable_functions.py:262\u001b[0m, in \u001b[0;36mScalarFunction._update_fun\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    260\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_update_fun\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[1;32m    261\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mf_updated:\n\u001b[0;32m--> 262\u001b[0m         \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_update_fun_impl\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    263\u001b[0m         \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mf_updated \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m\n",
+      "File \u001b[0;32m/mnt/disk1/anaconda3/envs/gems/lib/python3.10/site-packages/scipy/optimize/_differentiable_functions.py:163\u001b[0m, in \u001b[0;36mScalarFunction.__init__.<locals>.update_fun\u001b[0;34m()\u001b[0m\n\u001b[1;32m    162\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mupdate_fun\u001b[39m():\n\u001b[0;32m--> 163\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mf \u001b[38;5;241m=\u001b[39m \u001b[43mfun_wrapped\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mx\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m/mnt/disk1/anaconda3/envs/gems/lib/python3.10/site-packages/scipy/optimize/_differentiable_functions.py:145\u001b[0m, in \u001b[0;36mScalarFunction.__init__.<locals>.fun_wrapped\u001b[0;34m(x)\u001b[0m\n\u001b[1;32m    141\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mnfev \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;241m1\u001b[39m\n\u001b[1;32m    142\u001b[0m \u001b[38;5;66;03m# Send a copy because the user may overwrite it.\u001b[39;00m\n\u001b[1;32m    143\u001b[0m \u001b[38;5;66;03m# Overwriting results in undefined behaviour because\u001b[39;00m\n\u001b[1;32m    144\u001b[0m \u001b[38;5;66;03m# fun(self.x) will change self.x, with the two no longer linked.\u001b[39;00m\n\u001b[0;32m--> 145\u001b[0m fx \u001b[38;5;241m=\u001b[39m \u001b[43mfun\u001b[49m\u001b[43m(\u001b[49m\u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcopy\u001b[49m\u001b[43m(\u001b[49m\u001b[43mx\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    146\u001b[0m \u001b[38;5;66;03m# Make sure the function returns a true scalar\u001b[39;00m\n\u001b[1;32m    147\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m np\u001b[38;5;241m.\u001b[39misscalar(fx):\n",
+      "File \u001b[0;32m/mnt/disk1/anaconda3/envs/gems/lib/python3.10/site-packages/scipy/optimize/_optimize.py:78\u001b[0m, in \u001b[0;36mMemoizeJac.__call__\u001b[0;34m(self, x, *args)\u001b[0m\n\u001b[1;32m     76\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__call__\u001b[39m(\u001b[38;5;28mself\u001b[39m, x, \u001b[38;5;241m*\u001b[39margs):\n\u001b[1;32m     77\u001b[0m \u001b[38;5;250m    \u001b[39m\u001b[38;5;124;03m\"\"\" returns the function value \"\"\"\u001b[39;00m\n\u001b[0;32m---> 78\u001b[0m     \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_compute_if_needed\u001b[49m\u001b[43m(\u001b[49m\u001b[43mx\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     79\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_value\n",
+      "File \u001b[0;32m/mnt/disk1/anaconda3/envs/gems/lib/python3.10/site-packages/scipy/optimize/_optimize.py:72\u001b[0m, in \u001b[0;36mMemoizeJac._compute_if_needed\u001b[0;34m(self, x, *args)\u001b[0m\n\u001b[1;32m     70\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m np\u001b[38;5;241m.\u001b[39mall(x \u001b[38;5;241m==\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mx) \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_value \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mjac \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m     71\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mx \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39masarray(x)\u001b[38;5;241m.\u001b[39mcopy()\n\u001b[0;32m---> 72\u001b[0m     fg \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfun\u001b[49m\u001b[43m(\u001b[49m\u001b[43mx\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     73\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mjac \u001b[38;5;241m=\u001b[39m fg[\u001b[38;5;241m1\u001b[39m]\n\u001b[1;32m     74\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_value \u001b[38;5;241m=\u001b[39m fg[\u001b[38;5;241m0\u001b[39m]\n",
+      "File \u001b[0;32m/mnt/disk1/anaconda3/envs/gems/lib/python3.10/site-packages/sklearn/gaussian_process/_gpr.py:297\u001b[0m, in \u001b[0;36mGaussianProcessRegressor.fit.<locals>.obj_func\u001b[0;34m(theta, eval_gradient)\u001b[0m\n\u001b[1;32m    295\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mobj_func\u001b[39m(theta, eval_gradient\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m):\n\u001b[1;32m    296\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m eval_gradient:\n\u001b[0;32m--> 297\u001b[0m         lml, grad \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mlog_marginal_likelihood\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    298\u001b[0m \u001b[43m            \u001b[49m\u001b[43mtheta\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43meval_gradient\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mclone_kernel\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\n\u001b[1;32m    299\u001b[0m \u001b[43m        \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    300\u001b[0m         \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;241m-\u001b[39mlml, \u001b[38;5;241m-\u001b[39mgrad\n\u001b[1;32m    301\u001b[0m     \u001b[38;5;28;01melse\u001b[39;00m:\n",
+      "File \u001b[0;32m/mnt/disk1/anaconda3/envs/gems/lib/python3.10/site-packages/sklearn/gaussian_process/_gpr.py:580\u001b[0m, in \u001b[0;36mGaussianProcessRegressor.log_marginal_likelihood\u001b[0;34m(self, theta, eval_gradient, clone_kernel)\u001b[0m\n\u001b[1;32m    577\u001b[0m     kernel\u001b[38;5;241m.\u001b[39mtheta \u001b[38;5;241m=\u001b[39m theta\n\u001b[1;32m    579\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m eval_gradient:\n\u001b[0;32m--> 580\u001b[0m     K, K_gradient \u001b[38;5;241m=\u001b[39m \u001b[43mkernel\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mX_train_\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43meval_gradient\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m)\u001b[49m\n\u001b[1;32m    581\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m    582\u001b[0m     K \u001b[38;5;241m=\u001b[39m kernel(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mX_train_)\n",
+      "File \u001b[0;32m/mnt/disk1/anaconda3/envs/gems/lib/python3.10/site-packages/sklearn/gaussian_process/kernels.py:966\u001b[0m, in \u001b[0;36mProduct.__call__\u001b[0;34m(self, X, Y, eval_gradient)\u001b[0m\n\u001b[1;32m    964\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m eval_gradient:\n\u001b[1;32m    965\u001b[0m     K1, K1_gradient \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mk1(X, Y, eval_gradient\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m)\n\u001b[0;32m--> 966\u001b[0m     K2, K2_gradient \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mk2\u001b[49m\u001b[43m(\u001b[49m\u001b[43mX\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mY\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43meval_gradient\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m)\u001b[49m\n\u001b[1;32m    967\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m K1 \u001b[38;5;241m*\u001b[39m K2, np\u001b[38;5;241m.\u001b[39mdstack(\n\u001b[1;32m    968\u001b[0m         (K1_gradient \u001b[38;5;241m*\u001b[39m K2[:, :, np\u001b[38;5;241m.\u001b[39mnewaxis], K2_gradient \u001b[38;5;241m*\u001b[39m K1[:, :, np\u001b[38;5;241m.\u001b[39mnewaxis])\n\u001b[1;32m    969\u001b[0m     )\n\u001b[1;32m    970\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n",
+      "File \u001b[0;32m/mnt/disk1/anaconda3/envs/gems/lib/python3.10/site-packages/sklearn/gaussian_process/kernels.py:1757\u001b[0m, in \u001b[0;36mMatern.__call__\u001b[0;34m(self, X, Y, eval_gradient)\u001b[0m\n\u001b[1;32m   1753\u001b[0m     D \u001b[38;5;241m=\u001b[39m (X[:, np\u001b[38;5;241m.\u001b[39mnewaxis, :] \u001b[38;5;241m-\u001b[39m X[np\u001b[38;5;241m.\u001b[39mnewaxis, :, :]) \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39m \u001b[38;5;241m2\u001b[39m \u001b[38;5;241m/\u001b[39m (\n\u001b[1;32m   1754\u001b[0m         length_scale\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m2\u001b[39m\n\u001b[1;32m   1755\u001b[0m     )\n\u001b[1;32m   1756\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m-> 1757\u001b[0m     D \u001b[38;5;241m=\u001b[39m \u001b[43msquareform\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdists\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m2\u001b[39;49m\u001b[43m)\u001b[49m[:, :, np\u001b[38;5;241m.\u001b[39mnewaxis]\n\u001b[1;32m   1759\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mnu \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m0.5\u001b[39m:\n\u001b[1;32m   1760\u001b[0m     denominator \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39msqrt(D\u001b[38;5;241m.\u001b[39msum(axis\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m2\u001b[39m))[:, :, np\u001b[38;5;241m.\u001b[39mnewaxis]\n",
+      "File \u001b[0;32m/mnt/disk1/anaconda3/envs/gems/lib/python3.10/site-packages/scipy/spatial/distance.py:2248\u001b[0m, in \u001b[0;36msquareform\u001b[0;34m(X, force, checks)\u001b[0m\n\u001b[1;32m   2243\u001b[0m     \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m   2244\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m2nd argument metric must be a string identifier \u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[1;32m   2245\u001b[0m                         \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mor a function.\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m-> 2248\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21msquareform\u001b[39m(X, force\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mno\u001b[39m\u001b[38;5;124m\"\u001b[39m, checks\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m):\n\u001b[1;32m   2249\u001b[0m \u001b[38;5;250m    \u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m   2250\u001b[0m \u001b[38;5;124;03m    Convert a vector-form distance vector to a square-form distance\u001b[39;00m\n\u001b[1;32m   2251\u001b[0m \u001b[38;5;124;03m    matrix, and vice-versa.\u001b[39;00m\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m   2332\u001b[0m \u001b[38;5;124;03m           6.40312424, 1.        , 5.38516481, 4.58257569, 5.47722558])\u001b[39;00m\n\u001b[1;32m   2333\u001b[0m \u001b[38;5;124;03m    \"\"\"\u001b[39;00m\n\u001b[1;32m   2334\u001b[0m     X \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39mascontiguousarray(X)\n",
+      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
+     ]
+    }
+   ],
+   "source": [
+    "########################################################################################\n",
+    "#\n",
+    "#                    GAUSSIAN PROCESS\n",
+    "#\n",
+    "########################################################################################\n",
+    "kernel = 1**2 * Matern(length_scale=1, nu=1.5)\n",
+    "\n",
+    "gpg = GaussianProcessRegressor(kernel).fit(train_input_gp, train_elastic_gp)\n",
+    "print('=====================================================')\n",
+    "print('The score for the Gaussian Process for hydration is: ', gpg.score(train_input_gp, train_elastic_gp))\n",
+    "print('The mean square error on the test set is: ', np.mean((gpg.predict(test_input_gp)-test_elastic_gp)**2))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d0d59725-6b3c-41d0-b7b2-4c33ff162a82",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "########################################################################################\n",
+    "#\n",
+    "#                    Validation of the GP\n",
+    "#\n",
+    "########################################################################################\n",
+    "#Evaluation of the GP\n",
+    "predicted_values = gpg.predict(test_input_gp)\n",
+    "model_perf = evaluate_predictions(test_elastic_gp, predicted_values)\n",
+    "#model_perf.to_csv('model_perf/gpg_2^10.csv')\n",
+    "\n",
+    "#Plot true vs predicted\n",
+    "plot_true_vs_predicted(test_elastic_gp, predicted_values, 'elasticity_gp')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "681f3033-dcce-4ab2-ab7b-1125c6c53364",
+   "metadata": {},
+   "source": [
+    "# Surrogate Model for Elastic Modulus from Hydration Product"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "89130de7-febd-4660-91a2-08cae6754490",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "########################################################################################\n",
+    "#\n",
+    "#                   LOAD DATA\n",
+    "#\n",
+    "########################################################################################\n",
+    "file_path = 'data_repo/'\n",
+    "# data for neural net\n",
+    "X = pd.read_csv(file_path+ 'final_hydration_2^15.csv',  index_col=[0])\n",
+    "y = pd.read_csv(file_path+ 'elastic_moduli_2^15.csv')\n",
+    "train_output, test_output, train_elastic, test_elastic = train_test_split(X, y, test_size=0.1, random_state=42)\n",
+    "\n",
+    "#data for GP\n",
+    "X = pd.read_csv(file_path+ 'final_hydration_2^10.csv',  index_col=[0])\n",
+    "y = pd.read_csv(file_path+ 'elastic_moduli_2^10.csv')\n",
+    "train_output_gp, test_output_gp, train_elastic_gp, test_elastic_gp = train_test_split(X, y, test_size=0.2, random_state=42)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "429985db-2c0a-44b3-bbfe-3be6dd2d60d6",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "########################################################################################\n",
+    "#\n",
+    "#                    NEURAL NETWORK\n",
+    "#\n",
+    "########################################################################################\n",
+    "# train the neural network\n",
+    "#elasticity_from_hydration_NN, efh_hist = NN(train_output, train_elastic, test_output, test_elastic)\n",
+    "#elasticity_from_hydration_NN.save('model/elasticity_from_hydration_2^15.h5')\n",
+    "# load the neural network\n",
+    "model_path = 'model/elasticity_from_hydration_2^15.h5'\n",
+    "elasticity_from_hydration_NN = load_model(model_path, compile=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "e4c1da76-4710-446e-ae91-96fedb745c2e",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x1000 with 4 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "########################################################################################\n",
+    "#\n",
+    "#                    Validation of the neural net\n",
+    "#\n",
+    "########################################################################################\n",
+    "# Evaluate the performance of the neural network\n",
+    "predicted_values = elasticity_from_hydration_NN(test_output.to_numpy()).numpy()\n",
+    "model_perf = evaluate_predictions(test_elastic, predicted_values)\n",
+    "model_perf.to_csv('model_perf/elasticity_from_hydration_nn_2^10.csv')\n",
+    "\n",
+    "# Plot the true vs predicted value\n",
+    "plot_true_vs_predicted(test_elastic, predicted_values, 'elasticity_from_hydration_product_nn')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "601a292b-cf90-4e6a-bbce-1847b310237d",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The score for the Gaussian Process for hydration is:  0.9999958696219339\n",
+      "The mean square error on the test set is:  7.66670071134284e-08\n"
+     ]
+    }
+   ],
+   "source": [
+    "########################################################################################\n",
+    "#\n",
+    "#                    GAUSSIAN PROCESS\n",
+    "#\n",
+    "########################################################################################\n",
+    "#default kernel from sklearn is 1 * RBF(lenght_scale = 1)\n",
+    "gpgh = GaussianProcessRegressor().fit(train_output_gp, train_elastic_gp)\n",
+    "print('The score for the Gaussian Process for hydration is: ', gpgh.score(train_output_gp, train_elastic_gp))\n",
+    "print('The mean square error on the test set is: ', np.mean((gpgh.predict(test_output_gp)-test_elastic_gp)**2))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "11bbae94-9f88-4bcc-a6cc-7f9d81aea646",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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rCo05u9Ppzz///K8/pyg/77vvvrP5+vra6tSpYzt69GiR7iciUtood1+acnfJzN1nHT9+3DZx4kRb48aNbf7+/jZPT09blSpVbLfeeqvt/fffv2AHeZHzGWw2m60Y6nwRERERERGRMk1ruEVERERERERcQAW3iIiIiIiIiAuo4BYRERERERFxARXcIiIiIiIiIi6ggltERERERETEBS7rHO61a9fy6quvsmfPHgwGA3Xr1uWRRx6hc+fOzo7viuXn55OUlERgYKBTz88VERH5J5vNxunTp6lSpQpubiXzmbZyuIiISGGuzN8OHws2d+5cxo4dy2233caNN94IwNatW/nss8945ZVXGDVqlFMDvFKJiYlERUUVdxgiIlKOHDlyhGrVqhV3GBdQDhcREbk0V+RvhwvuqlWrMnHixAuS8uuvv87UqVNJSkpyaoBXymg0EhISwpEjRwgKCirucEREpAwzmUxERUWRnp5OcHBwcYdzAeVwERGRC7kyfzs8pdxkMnHTTTdd0N61a1cmTJjglKCc6ewUtKCgICVrERG5Kkrq9GflcBERkUtzRf52eIJ6z549Wb58+QXtn3/+ObfeeqtTghIRERHnUw4XERG5uhx+w12vXj2mTp3Khg0bCq3/2rJlC+PHj2f27Nn2sWPGjHFepCIiInJFlMNFRESuLofXcMfExBTtxgYDf//992UF5Uwmk4ng4GCMRqOmo4mIiEuV9JyjHC4iInIhV+Ybh99wHzhwwKkBiIiIyNWhHC4iInJ1lcxDQkVERERERERKOYffcI8bN+6i7QaDAR8fH2JjY+nVqxdhYWFXHJyIiIg4j3K4iIjI1eXwGu4OHTqwfft28vLyqFOnDjabjf379+Pu7k7dunXZu3cvBoOBzZs3U79+/X+91/Tp01m2bBl//vknvr6+tGzZkhdffJE6deoUGrdnzx4mTJjAxo0byc/Pp0GDBnzyySdUr179P+PV+i8REblaSnrOcWYOvxpK+u9TRETKBlfmG4enlPfq1YvOnTuTlJTEtm3b2L59O0ePHqVLly4MGDCAo0eP0rZtW8aOHfuf99q4cSMPPfQQW7duZc2aNeTm5tK1a1cyMzPtY/766y9at25N3bp12bBhA7/++iuTJk3Cx8fH0dBFRETKNWfmcBEREflvDr/hrlq1KmvWrLngyffvv/9O165dOXr0KNu3b6dr164kJyc7FMypU6eIjIxk48aNtG3bFoA777wTT09PPvjgA4fudZaejouIyNVS0nOOK3O4K5T036eIiJQNJeoNt9Fo5OTJkxe0nzp1CpPJBEBISAgWi8XhYIxGI4B97Vh+fj5ffvkltWvXplu3bkRGRtK8eXNWrFhxyXvk5ORgMpkKfYmIiIhrc7iIiIhc6LKmlA8bNozly5eTmJjI0aNHWb58OcOHD6d3794A/PTTT9SuXduh+9psNsaNG0fr1q1p2LAhACdPniQjI4MXXniBm266iW+//ZY+ffrQt29fNm7ceNH7TJ8+neDgYPtXVFSUo39EERGRMslVOVxEREQuzuEp5RkZGYwdO5b333+f3NxcADw8PBg8eDCvvvoq/v7+7Ny5E4Brr722yPd96KGH+PLLL9m8eTPVqlUDICkpiapVqzJgwAAWL15sH9uzZ0/8/f1ZsmTJBffJyckhJyfHfm0ymYiKitJ0NBERcbmSPgXaVTncVUr671NERMoGV+Ybh48FCwgI4O233+bVV1/l77//xmazUatWLQICAuxjrr32WhITE8nPz8fN7b9foo8ePZqVK1eyadMme7ENEBERgYeHxwVrzerVq8fmzZsvei9vb2+8vb0d/WOJiEg5ZDRbSM6wYMq2EuTrSYS/F8F+XsUdlsu4IoeLiIhcbaUpfztccJ8VEBBA48aNL9lfv359du7cSc2aNS85xmazMXr0aJYvX86GDRuIiYkp1O/l5cX111/P3r17C7Xv27eP6Ojoyw1dRESEpPQsJizdRfz+c5uDtY2L4IV+jakS4luMkbmeM3K4iIhIcSht+dtlj66LMlP9oYce4sMPP2Tx4sUEBgZy/Phxjh8/TlZWln3Mo48+yscff8zbb79NQkICc+fOZdWqVYwcOdJVoYuISBlnNFsuSNYAm/Yn8/jSXRjN5XvTMAdXm4mIiFwVpTF/F+tcsfnz52M0Gmnfvj2VK1e2f3388cf2MX369OGNN95gxowZNGrUiHfeeYelS5fSunXrYoxcRERKs+QMywXJ+qxN+5NJzih5CVtERKS8Oz9/L/jsGb5Z8BCxyYeBkpu/L3tKuTMU9Qn6sGHDGDZsmIujERGR8sKUbaVWyhEmr32bR24ZT5pfcKH+09nWYopMRERELsV0Jj+veedB4lKOAFArNZGEiOpAyczf2g1FRETKnUobvmXtOw/S7sB2nl771gX9gT6exRCViIiI/JsgH08Gbf/CXmwDrI670f59SczfLiu4DQaDq24tIiJy+VatovLgO+2Xz3S6r1B327gIIgJK5k6nV4tyuIiIlERVFr/Lc2veAGB/eBQ1HlsFZ3JWSc3fLptSrg1XRESkxPniC+jZ0375+LNLSMsMtF+3jYvgxX6NS+zRIleLcriIiJQ4q1bh+/ESAL7sNpCHrrmzULFdUvO3wwX3sGHDeO211wgMDCzUnpmZyejRo3n33XcB+OOPP6hSpYpzohQREblSX34Jt9567vr335lYI5Z7MyyczrYS6ONJREDJPcfTGZTDRUSkVHrjDXjwQejQAebMofXQe1mbaS0V+dtgc/Axtru7O8eOHSMyMrJQe3JyMpUqVSI3N9epAV4pk8lEcHAwRqORoKCg4g5HRESKw/79ULv2uevdu6FBA6f/mJKec5TDRUSk1HngAXjzzYLvx4+Hl16yv9l2FlfmmyK/4TaZTNhsNmw2G6dPn8bHx8fel5eXx1dffXVBAhcRESl2FgvcdNO5699+c0mxXZIph4uISKnUrBls21bw/bhxLim2Xa3IBXdISAgGgwGDwUDt898SnGEwGHjmmWecGpyIiMgVsVjAywvmzIFJk+Drr6EcFpbK4SIiUhoYzRaSMyyYsq3U690Fnx3bznXOnFnqim1woOBev349NpuNjh07snTpUsLCwux9Xl5eREdHa72XiIiUHH/9BV27wquvFmyUdtNN4FY+T8NUDhcRkZIuMdXMxGW7iE9IYekH/4dP0p/nOvPzS2WxDQ4U3O3atQPgwIEDVK9eXUeGiIhIyfXtt9CtW8H3Tz8NN98M7u7FG1MxUg4XEZGS7GiamQnLdrElIYX+v67muvOK7Xve/oE5WdYSuynaf3H4Uf+6dev47LPPLmj/9NNPee+995wSlIiIyGVbs+ZcsQ3wzTflutg+n3K4iIiUJEazhYPJGRizc9mSkMIdv37Li9/MAWBtreup8dgqNiWkkJxhKeZIL5/DBfcLL7xARETEBe2RkZFMmzbNKUGJiIgUldFs4a+TGew4nEbSZ6sKppGftXMnVKxYbLGVNMrhIiJSUhxNM5OYlsVfpzLJy8tnXv7vXH9iHwALr7uV4f0m26eRn862FmeoV8Thc7gPHTpETEzMBe3R0dEcPnzYKUGJiIgUxfnrvVoe3Mnij58617ljB1xzTfEFVwIph4uISElwfv4GuH3XGl78Zja5waFM6PUoH9dpW2jNdqCPZ3GFesUcfsMdGRnJrl27Lmj/9ddfCQ8Pd0pQIiIi/+Xseq/4hBSqpR8vVGxPmvwextr1izG6kkk5XEREipvRbClUbL+57Hle+vo13Gw21jfpSIUHhxUqttvERRARUDrXb8NlFNx33nknY8aMYf369eTl5ZGXl8e6det4+OGHufPOO10Ro4iISCEnTNkcSjGz5UyynrzuHXvfzYNn8UFOeKle7+UqyuEiIlLcTphy7MX24iVP0G3/VgA+a9iJ+68fTJPqofaxrWPDmd6nUandMA0uY0r5888/z6FDh+jUqRMeHgUfz8/P55577tH6LxERcbmk9CwOJmeSnmWlQkYqqX7BPNr9YSzunjzbcQQnAwve1Jbm9V6uohwuIiLF6WiamfSsgvz84UdP0vLwuVlXj/Z4GAwG/L09mDewKdFhfoT4eVI11K+4wnUKg81ms13OB/ft28evv/6Kr68vjRo1Ijo62tmxOYXJZCI4OBij0UhQUFBxhyMiIlfAaLYwaskOBtxQnbCD+6l29+1sq1qPcbeMI8+t8E7ka8e1o1ZkwFWNr7TkHOVwERG52hJTC5aCTbipLge79qLnnk32vpjHVmIzFEy+XjC4GYu+P8jM26+hYpDPVYnNlfnG4TfcZ9WuXZvatWs7MxYREZFLSkrPwphlZVSHWCr++hM1+vYAwOLuQXB2Bql+wfaxpX29l6sph4uIyNV0wpTN4VQzA5tHU/HzT2l8iWK7VWw4J0/nMKNf46tWbLuawwX3sGHD/rX/3XffvexgRERELuZQSiZPLP+NLQkpXH9kN58uftzeN/f/ZpFqOjfdrCys93IV5XAREbmajGYLaWYrk1b8RnxCCjfvieemlTMAiL+xB4Nb328vttvERvBMrwYEeHsQWUaKbbiMgjstLa3QtdVqZffu3aSnp9OxY0enBSYiIgIFb7bPFtvNEn8vVGw/P+ldqjRrzIKoEHJy8wnx9SQ63K/Ur/dyFeVwERG5WpLSs9i47xRf7EpiS0IKvX5fT5uDOzkZEMrG2i3If3kun1QO5uTpHLw93Dh5Ogc/T/cyVWzDZRTcy5cvv6AtPz+fkSNHUrNmTacEJSIiAgVPxo1ZVnux/dn/Jtj77hz2Ks1at+TmRpU5kJxJiK8ntSIDyswUNFdQDhcRkavBaLYwYekuhrSswZaEFHr+sYFXvnwVd1s+E24azSeNu2D7/A9WjW4FQKUgHxpWDS6TOdzhY8EuehM3N8aOHcurr77qjNuJiIiQlJ7FqCU7SDdbqWw6VajY7nP3TLZWiGPuugRMWVY++ukwMRH+ZTJRu5pyuIiIOFtyhoX4/cnk5Obz9tJnmb1qJu62fJY07lpQbJ+ZRn4kNYvFPx4ixM+zzOZwpxTcAH/99Re5ubnOup2IiJRjZ5+Mx+9PJsDHna5nzugE6Hv3S+yoWtd+HeTryZwBTagc4lscoZYJyuEiIuJMpjNHc17/8BC6JPwEwM7KtXniplH2YhsgxNeTF/o2LtNLwRyeUj5u3LhC1zabjWPHjvHll18yePBgpwUmIiLlk9Fs4Zgxm/j9yVQyJXN61x/81X8Ik4E1cS04FlTBPrZ1bDjBvp7aIK2IlMNFRORqCPLx5K1lz1PhvAfm/e5+qVCx3SYuolwsBXO44N6xY0ehazc3NypUqMDLL7/8n7ufioiI/Juk9CwmLN3FgBuq0/jYPt5Z+hyGDw08+9UaJvcfwrGEFPvY1rHhTO3TiCp6s11kyuEiIuIqRrOF5AwLpmwrNd6cRa3ziu1Bb8STd8Bov24bF8GLZejor39jsNlstuIOwpVceYi5iIg4zwlTNn+dzCA9y0qdQ3uodWsnAE75hTDkwbmMG96ZyCBvMrLzCPHzJNjXs8QV28o5zqXfp4hI6XD2gXn8/mRu2bOJ186s2QZo9OQXDG4bS5OoEACqhfpSKcinRM1Oc2W+cfgNt4iIiLMlpWcx4bNfiU9I4ZqkvXz+wXh738N3TOJ3jxCGv/cLUPBUfM6AJiUqUYuIiJRX5++70izxd2adKbaXXdMFy/w3WVYzgsycXAJ9PIkI8Cp3+btIBXeTJk0wGAxFuuH27duvKCARESlf7Ik6IYXGx/YVKrafe3Q+TTt34Pt1CcC5KWjlLVlfCeVwERFxpbM7kvf4czMP/PgZ8TFNSPYL5bFuo7F9/gdrx7Xj2uqhxR1msSlSwd27d2/799nZ2cybN4/69etz4403ArB161Z+//13Ro4c6ZIgRUSkbDp/g7SGxxNY+f65Tb3uuOsFfnKLYlWDitSvHETNCH8qB5esKWilgXK4iIi4kinbSvc/NzN75Qw8bPnMajWA2S3vtG+QdvrMjuXlVZEK7qefftr+/YgRIxgzZgzPPffcBWOOHDni3OhERKTMSkw1M3HZLgY0jybydAoLP51i7+s/YDo/RTUECs7o/Oinw5pGfpmUw0VExJViH7mf+Z9/CsDShh2Z3fJO8t3c7f2BPp7FFVqJ4PA53J9++in33HPPBe133303S5cudUpQIiJSth1NMzNhWcE0cm8PN8KyTHjk52Hy8qP/gOn8WL2RfWyIr6emkTuJcriIiDjVwIEELv/Ufvlo94cLFdtt4yKICCjf+dvhTdN8fX3ZvHkzcXFxhdo3b96Mj0/Z39ZdRESuzAlTNulmK1sSUqiQkYplwbuEt+zAXUzltJcfiSGV7GPLyxmdV4tyuIiIOM2gQbB4sf1y6Bvx5F/k6K/y/sDc4YL7kUce4cEHH2Tbtm20aNECKFj/9e677zJ58mSnBygiImXH2d3IBzSPpv6Jv/lq0RgAop+ZydSWrdhz3jnb5emMzqtFOVxERJzio4/gww/PXefkMCu3YAO109nWcrsj+cU4XHA//vjj1KxZk9dee43FZ55o1KtXj0WLFnHHHXc4PUARESkbzt+NfFRYpr3YBnjkVBhdW4QyrFUMObn52iDNRZTDRUTkcpwwZZOWacGUnUuV9V9T9f4h2M+/yMkBLy+CvVDevgiDzWazFXcQruTKQ8xFRKRoTpiySc200P21eOqd/JuvF54rtu++4zk2xzSxX7eJi2BuKd0grTzlnE2bNvHSSy+xbds2jh07xvLlywvtiL5s2TLefPNNtm3bRkpKCjt27ODaa6916GeUp9+niEhJdSglkyeW/8aWhBRqpiSy6r1H8Ldmk9nvDvw/Xgzu7v99kxLOlfnG4TfcZ23bto09e/ZgMBioX78+TZo0+e8PiYhIuXM4JZOJy39jYPNo6p48UKjYnj72NTZ71bJft44NZ3qfRqWy2C5NnJHDMzMzueaaaxg6dCj9+vW7aH+rVq24/fbbuffee50RtoiIXGWJqWZ7sd1l/1Ze/eJlPmvUCT9LDqu6jOalTCsVg0p/we1KDhfcJ0+e5M4772TDhg2EhIRgs9kwGo106NCBjz76iAoVKrgiThERKYVOmLKZeCZRj4x245uFo+19I+56nro3dWNBVAg5uflEh/kR4udJ1VC/Yoy4bHNmDu/evTvdu3e/ZP+gQYMAOHjwYJHvmZOTQ05Ojv3aZDIV+bMiIuJcR9PMGLMKNjnt/udmXls1E6/8XPwt2fzfzWPhgJG0TIv2WvkPDh8LNnr0aEwmE7///jupqamkpaWxe/duTCYTY8aM+e8biIhIuZGWaWFLQgqhZiN1Rgy0t99z+zN8F3Utc9clMPy9X1jy02EiAr1VbLtYSc/h06dPJzg42P4VFRVV3CGJiJRLRrOFQylmTNm5TPtmDvM/fwGv/FxW1mvLhO7n8oUpO7cYoywdHH7D/c033/Ddd99Rr149e1v9+vV5/fXX6dq1q1ODExGR0u1sIs708mOXdzgtK2by/IipbMqNtI/RbuRXT0nP4RMnTmTcuHH2a5PJpKJbRKQYJGdYSM+y0vzFidz462p7+9hbxpN33jnbQT6XvUK53HD4N5Sfn4+np+cF7Z6enuTn5zslKBERKRtCM9J44evZPNdxBA/0fJwoq4nubZvbp5HHRPhTRbuRXzUlPYd7e3vj7e1d3GGIiJR7pmwrjZ9/nPBP3re31Rm/rFCx3To2nFB/5e//4vCU8o4dO/Lwww+TlJRkbzt69Chjx46lU6dOTg1ORERKF6PZwl8nM9hxOI3Dm38hrnEsd+76lhlfv4bFw5O/fMPt08gX/3iIMH+d0Xk1KYeLiMjFnJ+//zqVQdXNa6l2XrE9dN4GcjzO5evWseFM7dNIs9OKwOE33HPnzqVXr17UqFGDqKgoDAYDhw8fplGjRnx4/uHnIiJSriSlZxWcs70/mdjkw3y3YKS9b/3dYyDj3NjWseFMU6K+6pTDRUTkn87P3wAd/vqZt1ZMs/ePWRDP3TfGMS7Im4zsPIJ8PAj29aRamPZdKQqHC+6oqCi2b9/OmjVr+PPPP7HZbNSvX5/OnTu7Ij4RESkFktKzSMu0MLJ9LJNrGYjrcIu9b87DLzNu1K2MyLJiys4lyMeDUH8vFdvFwJk5PCMjg4SEBPv1gQMH2LlzJ2FhYVSvXp3U1FQOHz5sf5u+d+9eACpVqkSlSpWc8wcSEZErYjRbmPDZLuITCortBscTeGTzYjxzrfx0XQcOz32H6iYrAEdSswjx9dSJIg4y2Gw2W1EH5+bm4uPjw86dO2nYsKEr43IaVx5iLiIi587Z3pKQQq2UI6x950F737i7nmFZ1HWsHdeOWpEBxRjl1VGSc46zc/iGDRvo0KHDBe2DBw9m0aJFLFq0iKFDh17Q//TTTzNlypQi/YyS/PsUESkL9h430W1WPADt//qFN5c/z+YaTdgfUZ2ZbQbx9f91xM1g4HS2lUAfTyICyuZSMFfmG4fecHt4eBAdHU1eXp5TgxARkdIpKT3LXmyHmo2Fiu1XHnqRmx8azLL3fuF0trUYoxRwfg5v3749//bMfsiQIQwZMsQpP0tERJzPaLaQmJYFwB2/fstza+bjnZeLxd2TmW0GkevuQWZOLtdWDy3mSEs3hzdNe+qpp5g4cSKpqamuiEdEREqJo2lmjFlWtiSk4J6fx/ufTLb33dv3KWYHNCAyqGDH6UCfC3fGlqtPOVxERKCg2D5mzMbfy4NNx1cx45vZeOdZ+bp2S0b3fIxc94L3ssrfV87hNdyzZ88mISGBKlWqEB0djb+/f6H+7du3Oy04EREpmRJTzUxYtouBzaPBZiPPzZ23b+jDxPULGdT/ORIiqgOQkZ1H27gIIgLK3vSz0kg5XEREzt8k7cl179Di5xX2vsdve5zcvIJ3sm2Uv53C4YK7d+/eLghDRERKixOmbCYu28WWhBTuaxDMp/+bwMy2g1hZvz1rYluQ5XVuM7QgHw9e7Ne4TK73Ko2Uw0VEyrcTpmwmfPYr8QkpTFz/LveeV2wPm7uOQXFVmLsugVax4TzXq6HytxM4XHA//fTTrohDRERKgWPpWaRmWohPSCE6LYl2LQt2I5/x9Wt0GvFGoWK7dWw4of5eVA7xLa5w5R+Uw0VEyq+k9CwOJmcSn5BCmwPbuf+nZfa+emM/I+uImUd6VaRJVAgnT+cQ6qfp5M7gcMF91i+//MKePXswGAzUq1eP6667zplxiYhICWM0W9iw7xSRgd5EpyWx8a377H2vj32FXPO5lHL2nO0qKrZLJOVwEZHyxWi2MGHpLgbcUJ3WB3bw9rLnATjpH0q7+962PzBPTMvio58Oa3aaEzlccCcmJjJgwAC2bNlCSEgIAOnp6bRs2ZIlS5YQFRXl7BhFRKQESM6wEBnoje/hg4WK7bH9nqBqi6YsiAohJzefmAh/gn09VWyXQMrhIiLlzwlTNqmZFka2j6XKjh/ouWcjPrkW1sQ2Z2Tvx7G6n3uTXTPCnzkDmqjYdiKHdykfNmwYVquVPXv2kJqaSmpqKnv27MFmszF8+HCH7jV9+nSuv/56AgMDiYyMpHfv3uzdu/eS4++//34MBgOzZs1yNGwREblCpmwrbgcP0PKmFva2h3pOYHlsS+auS2D4e7+w+MdDBPl4qNguoZyZw0VEpOQ7nJLJuE920v21eOY++QZVBt5G5yO/Mr39kAuK7bZxEVQO9lGx7WQOv+GOj4/n+++/p06dOva2OnXqMGfOHFq1auXQvTZu3MhDDz3E9ddfT25uLk8++SRdu3bljz/+uGDn1BUrVvDjjz9SpUoVR0MWEREnCMnOoEmPG+3Xc+57ji9Dm9iv28RG8HyfhlQN9SuO8KQInJnDRUSkZEtKz+LJ5b+xJSGFkT98wmOb3gcgr+W17L1jKNZDp+1j28RFaBq5izhccFevXh2r1XpBe25uLlWrVnXoXt98802h64ULFxIZGcm2bdto27atvf3o0aOMGjWK1atXc/PNN//rPXNycsjJybFfm0wmh2ISEZFzjGYLyRkWTNlWYieMtbeP7zOByv1ut08j9/Zw4+TpHEJ8tcFKSebMHC4iIiXX+Rukjd/0AaN/+BiA76s35sEbRzGoVkUe630tB5MzCfH1pFZkABWDfP7jrnI5HJ5SPmPGDEaPHs0vv/yCzWYDCjZfefjhh5k5c+YVBWM0GgEICwuzt+Xn5zNo0CAeffRRGjRo8J/3mD59OsHBwfYvrUcTEbk8SelZjFqyg1teWE2f17fQucqt7I1tzOH1W0nr2dc+jXzk/7az6PuDtK9dQU/GSzhX5nARESkZzm6Qlp5lZdx5xTbAfX2fwpjvztx1CRjNVj766TAxEf4qtl3IYDubcYsoNDQUs9lMbm4uHh4FL8jPfv/PaeCpqalFvq/NZqNXr16kpaURHx9vb58+fTrr169n9erVGAwGatSowSOPPMIjjzxy0ftc7A13VFQURqORoKAgB/6kIiLll9FsYdSSHezadYD3Pp3Mrkq1mdzlAQDa1q7A1N4NOZ2Ti9mSR7CvJ5GB3iq2Kcg5wcHBJTbnuCqHu0pJ/32KiJREf53MoNMrG/kuewuxr023tzd85BMyvM8t+/r64TZU0ZptwLX5xuEp5a7asGzUqFHs2rWLzZs329u2bdvGa6+9xvbt2zEYDEW6j7e3N97e3i6JUUSkvEjOsPD3L3/w6xvDAKiefoI3WvQjKSiSTfuTseTZqF8luJijFEdp01ERkbLPlG2lxeFdxC65dLHdOjacMH8vFdtXgcMF9+DBg4s07oUXXiA9Pd1+7Mi/GT16NCtXrmTTpk1Uq1bN3h4fH8/JkyepXr26vS0vL4/x48cza9YsDh486Gj4IiJSBFl/HWDLmWIb4N6+T5EUFGm/Pp194TpgKflckcNFRKRkidz+I+9+9gwA6ddcx/8Ne4GMpHMzgNvERjC1T0NNI79KHC64i2ratGnccccd/5qsbTYbo0ePZvny5WzYsIGYmJhC/YMGDaJz586F2rp168agQYMYOnSoK8IWEZHDh2nYsrH9ctzNY9lWrX6hIYE+2hytLCtKDhcRkRJo0yYivlyG1cubDdUa8kiPydxdN4oBXQo2OQ3x9aRGhL+O77yKXFZwF2Vp+EMPPcTixYv5/PPPCQwM5Pjx4wAEBwfj6+tLeHg44eHhhT7j6elJpUqVCh1pIiIiTnLkCERH2y/H9xjLsoadCg1pGxdBRICmoJVlDm7vIiIiJcGmTdC9O95mMzlPP8cHldqSfvA0c9clAAX5+8V+jamsYvuqclnBXRTz588HoH379oXaFy5cyJAhQ65+QCIi5cz5x34F52ZRs9a5JTxpr7/JKe9rYH+yva2tzukUEREpeaZNgyefLPi+a1eCHv8/Xsl3IznDwulsK4E+nkQEaM12cSjWgvtynqBr3baIiHMkpWcxYeku4s8U1EN+WcmUs53vvkvo0KHMOVOQK1mLiIiUUNOnnyu2IyNhxQrw8SEYlLNLgGItuEVEpHicPaMzfn8yATlm/C1mFl13K+FmIye79OD/+t9pT9RK1iIiIiXUCy/AE0+cu96zB3w1ZbwkUcEtIlIOJWdYiN+fTIWMVN5Z+hzB2RkMGDCNl9sOghwYkmFRoS0iIlKCGM0WTp7OIT3Lir+XOxW+XE6FiRPPDUhJgbCw4gtQLsplBXebNm3w1dMVEZESyZRtpUJGKj+/fg8AZk9vwsxGjgVVAHTsV3mnHC4iUrIkpWcx4bNdxCcULAO7LvEPPvxsyrkBKrZLrMsquPPz80lISODkyZPk5+cX6mvbti0AX3311ZVHJyIiTnP+BmkBaafsxTbAE91G8XulWPu1jv0qu5TDRURKF6PZUqjYrnvyAO99+jS+lix212vGnrmL6OoTQHAxxykX53DBvXXrVu666y4OHTp0waZnBoOBvLw8pwUnIiLOcf4GaRUy0vj59UH2vie6PcSKBh3s1zr2q+xSDhcRKX2Om7LtxXbTxD08smUxv1WKJd9gYHj3x3m9cgTJWgpWYjlccD/wwAM0a9aML7/8ksqVK2MwGFwRl4iIOMn5G6T9s9h+d+CjLK7Wzn6tY7/KNuVwEZHSxWi2kJiWBUDTo3t479PJBFqyWHjdrbzYbjDZnj7k5OZrKVgJ5nDBvX//fj777DNiY2P/e7CIiBS7sxuk+Vmy+GjJ4/b2Z7s/hN89w/mmUWWyrXk69qscUA4XESldkjMsAAz7+XMmr3sbgO+rN7YX2wDeHm5aClaCuTn6gebNm5OQkOCKWERExImMZgt/ncwgJdPCu0Ou5/FablTKSAXgya4jebdxd+auSyDbmse11UOpFRmgYruMUw4XESn5zubvHYfTyMnNI+qDt+3FNsDwfpPtxXar2HBOns7RUrASzOE33KNHj2b8+PEcP36cRo0a4elZ+GlK48aNnRaciIhcnvPXbPtasml+ZDfWbt2o9+7HzFz3Nz9W0AZp5ZFyuIhIyXZ+/gYY8stKpqx9y95/3agPyfI6V2yP7hhHjTA/PTAvwQy2f+6a8h/c3C58KW4wGLDZbCVywxWTyURwcDBGo5GgoKDiDkdExOWMZgujluwgfn8yYWYjq999iPBMI+NuGcepXrfRpHooc9cVvOVsGxfBnAFNlKidpKTnHOVwEZGS6/z8DQVHfy3932P2/s2bf8OnahVy8234ebnj4WYgIsCbyCCf4gq5zHBlvnH4DfeBAwecGoCIiDjX2TXbYWYj2+cMtLcfCqnMjoQUhrWKAbRBWnmkHC4iUnKdzd8A1yTtZeGnU+x9zUZ9wIthFbj7jR+AczlcxXbJ53DBHR0d7Yo4RETkCiWlZ2HMsmLKsvL1wHrUa1zL3vdsx3vZUbUuUDCFfO24dtogrRxSDhcRKblMZ3YaD89MZ9GnUwiymPmxWgOG3j4Fs5cvwb6erBjZUpucljIOF9wAf/31F7NmzWLPnj0YDAbq1avHww8/TK1atf77wyIi4nSHUjJ5YvlvbElIIdRsZMd5b7Zf7v4A7za+xX4d7u9FrciA4ghTSgDlcBGRkinIx5NGx/bzxvJpfFm3NbVSExnebzJmL18AQv2Uv0sjh3cpX716NfXr1+enn36icePGNGzYkB9//JEGDRqwZs0aV8QoIiL/IjHNbC+2g7IzChXbH94xhmtfnmK/bhsXoZ1MyzHlcBGRkqvivt/46NNJVD19iqqmk9x151R7sa38XXo5/Ib78ccfZ+zYsbzwwgsXtE+YMIEuXbo4LTgREfl3ialmjFlWtiSk4GPNZv6Kafa+5zsM452YrqwK8ga0ZluUw0VESqy33iLg/vsB2BfbmFG3TMBmKHg3qvxdujlccO/Zs4dPPvnkgvZhw4Yxa9YsZ8QkIiJFYDRbmLhsFyM7xAHgZrPhkZ9PhpcvT3YdyecNOgCQZcnTmm0BlMNFREqkt9+GM8U2QMXN61hp8OZ0tlXrtcsAhwvuChUqsHPnTuLi4gq179y5k8jISKcFJiIi/y45w0J8QgoT2kfzyOb/Mb/F7Qy5bQo1UxP5vVLhc7a15ktAOVxEpCQwmi0kZ1gwZVupuvR/RI4bfa7z6FGCK4YTXHzhiZM5XHDfe++93Hffffz999+0bNkSg8HA5s2befHFFxk/frwrYhQRkYswZVsJys6gYVwVGgKxyUcY1fvxQsV269hwgn09iy9IKVGUw0VEio/RbOG4KZvEtCwMBgOJazfT5PxiOzERqlQpvgDFJRwuuCdNmkRgYCAvv/wyEydOBKBKlSpMmTKFMWPGOD1AERG5uJDsDHa9dqf9ekfPgYX6W8eGM7VPI6qE+F7t0KSEUg4XESkeSelZTPhsF/EJBedsNzjxFx9/8pS9/+GXVvJsaAW92S6DDDabzXa5Hz59+jQAgYGBTgvI2UwmE8HBwRiNRoKCgoo7HBER50hPh9BQ++XrnYdSd/Z0IoO8ycjOI8jHg2A/T6qF+hVfjOVQaco5yuEiIleH0Wxh1JIdxO8vKLYrm04xf8V0rj22j/01G/L1zEW88uNx1o5rpyVgxcSV+eayzuE+qyQnaRGRsuT89V4hlkxi4qLsfZ/1vo+X6vSE934BoE1cBNP7NFKxLf9KOVxE5OpIzrDYi+36J/7mfx89yffRjTkYWplJXUcyq241+PE4p7OtxRypuEKRCu6mTZuydu1aQkNDadKkCQaD4ZJjt2/f7rTgRETkzDS0pbuI35+Md66FvS/3Pdf57LN0GT+BtRkW7WYqF6UcLiJSfIxmCzm5ecwb2JSKv22j/gOT8M0+TRVTMgMGTCXb04ec3HygYJNTKXuKVHD36tULb29v+/f/lqxFRMR5TpiyOZicyYAbqjP0xmhqDD23Zntpr3vpPH4CwX4qsOXSlMNFRIrH+Q/M++xex6tfvgKAsXFT7u/2BNluPgB4e7jRNi6CiADl8rLoitZwlwZa/yUipVXBBiu/Ep+QYm+bcmQ9dy+fz8jeE/m2ehOt9yphlHOcS79PESmtzl+33fv39cz64mV7372zVlOnXjRz1yXQKjacWxpXoX3tClTWJqfFxpX5xs3RD9SsWZOUlJQL2tPT06lZs6ZTghIRKe+MZkvBU/GEFLxyrby6aiYNjicwJaoDDz/7MbWH3A6g9V7iEOVwEZGr4+y67V7/KLZbPfAua45ZaRIVQpu4CKb2bkSPhpVUbJdhDm+advDgQfLy8i5oz8nJITEx0SlBiYiUd2cTdUCOmd2z7gCgxeHfaH//23yZ7MWCqBBA673EMcrhIiJXhynbSp1TB3ntvGK79QMLOBocCUCwrydzBzTRkrByoMgF98qVK+3fr169muDgc6fE5eXlsXbtWmJiYpwbnYhIOWXKtuJ/XrENMO6WceR4FCTmnNx8rfeSIlMOFxFxvUInivz1J4uXPGHva/3AAhKDK9qvQ7X/SrlR5IK7d+/eABgMBgYPHlyoz9PTkxo1avDyyy9f5JMiIlJUZ5N1vsnE7+cV23Nu7M8P0dfYr0N8PXmxX2MlaykS5XAREdc6f4O0uFOHeCVxLTFZJnZViuXu/s9j8jm334oemJcvRS648/MLtquPiYnh559/JiIiwmVBiYiUR2eT9fbdhwsV2wfue5j5FW8CS8FU4DZxEdSKDKBikE9xhSqljHK4iIjrnH+iyKgK2TS6ZxLJ7j4cGvIAc6/tg+nYuf1W2sZF6IF5OePwGu4DBw64Ig4RkXLt7CZpW/88xv7ziu15LW5jy/V3Mqx6KHPXJdgTtYptuRzK4SIiznX+iSIdE37i1S9exi8nk5D6jelduTM96kUz7o7KZFvzCPTxJCJAU8nLG4cLboDMzEw2btzI4cOHsVgshfrGjBnjlMBERMqTs5ukTf3uTXvb/Oa3MaPdEEhI4cke9ehzbVUlarliyuEiIs5x/oki3f/czPzPXwDgz4hoXrlvBj3q1WDuugQ6143k2uqhxRytFBeHC+4dO3bQo0cPzGYzmZmZhIWFkZycjJ+fH5GRkUrWIiKXwZSZDTYbb93QlxsP7WJylwfZHNPE3m/Jzad+leB/uYPIf1MOFxFxDqPZwjFjNvH7k7lp7xZ7sQ1wX9+nOHwsl/5dQwCdKFLeOXwO99ixY7n11ltJTU3F19eXrVu3cujQIa677jpmzpzpihhFRMoco9nCXycz2HE4jb+OphL30FDGbv4fh0Iq03X4vELFNihZi3Moh4uIXLnENDOJaVkYs6ysrHqKN1ZMt/e1u+8tDodWBnSiiBRw+A33zp07efPNN3F3d8fd3Z2cnBxq1qzJjBkzGDx4MH379nVFnCIiZcb5O5n6WLP585XbAHjQw4vlDTpwMKxqofFK1uIsyuEiIlfmUEomTyz/jS0JKdRKOcLadx6093Uf+Q6HAivZr3WiiMBlvOH29PTEYDAAULFiRQ4fPgxAcHCw/XsREbk4o9nCxn2nGNKyBm/0rWsvtgEOzZxL9ebXFBqv3UzFmZTDRUQuX2KauVCxveTMOdvJfsGMf+5jOvVqbR979kSRyiG+xRWulBAOv+Fu0qQJv/zyC7Vr16ZDhw5MnjyZ5ORkPvjgAxo1auSKGEVEyow0s5UvdiWxbc/RQsX24UH3MuB0DZYObEhuvo3T2VbtZipOpxwuInJ5TpiyOZ2dy8Dm0Yyumo/nW58QYMliT4Ua3HXnVNIy/FkQFQKgE0WkEIcL7mnTpnH69GkAnnvuOQYPHsyDDz5IbGwsCxcudHqAIiJlhdFsYdKK3y4othdedyvftR3GndVDSTNbtJOpuIxyuIiI484/+qtmSiIfLZlIhNnIofvGMDygBWkeAQAEeHvwzcNtqBzso4flYudQwW2z2ahQoQINGjQAoEKFCnz11VcuCUxEpKxJzrDww94T7Jg7yN62qOktPNP5fkhIYVirGG2OJi6jHC4i4rjzj/7qmPAT7y59FoA9FWowq043+jaIYe66BKCg4FaxLf/k0Bpum81GXFwciYmJropHRKTMMmVbufPX1QRasgB4r+nNTOnyQKEx2hxNXEU5XETEcckZFuL3J9Phr5/txXY+BgbeOZXVJ/JocmYaeevYcIL9PFVsywUcesPt5uZGXFwcKSkpxMXFuSomEZEyw2i2kJxhwZSRhb/FTOjYUXyafICvajVnfa3rC42tFuqrRC0uoxwuIuI4U7aV9n/9zMLPnrG3dR3+Oql+wUDB0V+tY8OZ2qcR1UL9iitMKcEc3qV8xowZPProo+zevdsV8YiIlAlGs4WDyZmMWrydHjPWkNSjD3lt27P/z8OE/m8RP9ZrUWh827gIKmlzFXEx5XAREcdE/vozi84rtrsMe52EiOr265gIf17o15jocP/iCE9KAYc3Tbv77rsxm81cc801eHl54etbeKv71NRUpwUnIlIaJaVnsXHfKb7YlcQvfx5j78sFZxvnGdw4/eM2FgWGMKz1uTVfOvpLrhblcBERByQkUPn+ofbLLsNeZ3+FaPt1m7gIwvy9tBu5/CuHC+5Zs2a5IAwRkbLh7OYqQ1rW4Oc/j7PvTLENMKdlf7bUuBYSUnjq5vp0rhupo7/kqlIOFxEpogMHoH173I4lYa1bj4mDnmW/6dxDSh39JUXlcME9ePBgV8QhIlImpJutDGlZA39bHvte7mNvX3xNN2a1Hmi/zrbm6fgvueqUw0VEiiAhAZ5+GqpWheBgPNetY1JgKA9mWDidbdXDcnFIkQpuk8lU5BsGBQVddjAiIqVZUnoWT634jR//PF6o2P6ocVeeuGl0obE6/kuuFuVwEZF/Z9/gNNtK2PEjRPW9GbejiTB8OEydChUrEgwqsOWyFKngDgkJwWAwFOmGeXl5VxSQiEhpYzRbOHk6h8OpZoa1qM7UOQ/b+z5p1JnHu48pNL5tXISO/5KrRjlcROTSktKzCs7Z3p9Mq4M7+d/HTwFgrV0Hz+efh4oVizlCKe2KVHCvX7/e/v3Bgwd5/PHHGTJkCDfeeCMAP/zwA++99x7Tp093TZQiIiVUYqqZict2EZ+QAkCD4wms+GMHAEm3DeTzbqPgTB9ogzS5+pTDRUQu7uy+K/8stgHG3f8KzweFEVyM8UnZYLDZbDZHPtCpUydGjBjBgAEDCrUvXryYt956iw0bNjgzvitmMpkIDg7GaDRqqpyIOFVimpmJSwuKbbf8PBqc+JvfKsfR/q9fuKaCN4a+fcnNt9EkKgR/bw9C/TypFOSjYrsMK+k5x5k5fNOmTbz00kts27aNY8eOsXz5cnr37m3vt9lsPPPMM7z11lukpaXRvHlzXn/9dRo0aFDkn1HSf58iUrr9dTKDTq9spOXBnSw+r9i+echr/F6xFmvHtaNWZEAxRihXiyvzjcPncP/www80a9bsgvZmzZrx008/OSUoEZGSLjHVzKEUM/EJKXjk5fLBJ5NY+uGjdN7/IxtqNeO1oEY0qhrM3HUJDH/vF8L9vahTKUjFthQrZ+bwzMxMrrnmGubOnXvR/hkzZvDKK68wd+5cfv75ZypVqkSXLl04ffr0ZcUuIuJspmwr1dOOXbTYBjidbS2u0KQMcbjgjoqK4o033rig/c033yQqKsopQYmIlGRGs4WJy3ZhzLLikZdLwszetDq0C6/8XDzyc+3jcnLzgYJp5JGB3sUVroidM3N49+7def755+nbt+8FfTabjVmzZvHkk0/St29fGjZsyHvvvYfZbGbx4sWXvGdOTg4mk6nQl4iIq4SdTGLxR0/ar28ePMtebIM2OBXncLjgfvXVV5k3bx4NGzZkxIgRjBgxgoYNGzJv3jxeffVVh+41ffp0rr/+egIDA4mMjKR3797s3bvX3m+1WpkwYQKNGjXC39+fKlWqcM8995CUlORo2CIiTpOcYSE+IQUfWx4JM3vb25c27Mg3dVrZr7093LRmW0oUZ+bwf3PgwAGOHz9O165d7W3e3t60a9eO77///pKfmz59OsHBwfYvPcgXEZfJyCDqtpupZjrJX2FVaT5yEb9XirV3a4NTcRaHC+4ePXqwb98+evbsSWpqKikpKfTq1Yt9+/bRo0cPh+61ceNGHnroIbZu3cqaNWvIzc2la9euZGZmAmA2m9m+fTuTJk1i+/btLFu2zP6zRUSKiym74M12x2vOFQMr67Vl/M3j7Ndt4iKIrRDAnAFNqBziWxxhilzAmTn83xw/fhyAiv/Y3bdixYr2vouZOHEiRqPR/nXkyBGnxSQiYnfwIHTogFvnzuTGxvHaE29wIjDC3q2H5eJMRdql/J+ioqKYNm3aFf/wb775ptD1woULiYyMZNu2bbRt25bg4GDWrFlTaMycOXO44YYbOHz4MNWrV7/gnjk5OeTk5NivNR1NRJwtyJ1Cb7a3NuvEmE5j7ddtYiOY3qcR1cL8iiE6kX/nrBxeFP88jsxms/3rEWXe3t54e2v5hYi40KFD0KFDQdHt6YnHrl95zubOwxkWTmdbCfTxJCLAS8W2OI3DBXeNGjUYNmwYQ4cOdfpUL6PRCEBYWNi/jjEYDISEhFy0f/r06TzzzDNOjUtExC4/n6gJ587ZXl2vNb9NfZ0FUSHk5OYT7OtJdLgf1UJVbEvJ48ocfr5KlSoBBW+6K1eubG8/efLkBW+9RUSumvh4aNu24Pu4OPj0U/D1JRhUYIvLODylfPz48Xz++efExMTQpUsXPvroo0JvlC+XzWZj3LhxtG7dmoYNG150THZ2No8//jh33XXXJbdr13Q0EXGpjAy8/tiNzWDgmy53cn/Px+07kS/56TDRYSq2peRyVQ7/p5iYGCpVqlRolprFYmHjxo20bNnS6T9PRORijGYLf53MYMfhNI6u+vZcsQ2wfj1UrVp8wUm54fA53Gf9+uuvvPvuuyxZsoTc3Fzuuusuhg0bRtOmTS8rkIceeogvv/ySzZs3U61atQv6rVYrt99+O4cPH2bDhg1FPh9NZ3iKyOUymi0kZ1gwZVsJ8nan8rIl+N07HEwm2LoVY/vOJGsKmpyntOQcZ+TwjIwMEhISAGjSpAmvvPIKHTp0ICwsjOrVq/Piiy8yffp0Fi5cSFxcHNOmTWPDhg3s3buXwMDAIv2M0vL7FJGSJyk9iwlLdxG/P5nrEv9g6f8eO9e5dSs0b158wUmJ48p8c9kF91lWq5V58+YxYcIErFYrDRs25OGHH2bo0KH/uk7rfKNHj2bFihVs2rSJmJiYi/6MO+64g7///pt169YRHh5e5PiUrEXkcpyfqN3z81j39v1Epx/HfMcA/D6+9LFGUr6VtpxzJTl8w4YNdOjQ4YL2wYMHs2jRImw2G8888wxvvvkmaWlpNG/enNdff/2Ss9guprT9PkWkZDCaLYxasoP4/clUNp3ih/lD7X3PTHyHR54apAfkUogr881lbZoGBUl6+fLlLFy4kDVr1tCiRQuGDx9OUlISTz75JN99992/nrUJBdPIR48ezfLly9mwYcO/Ftv79+9n/fr1DhXbIiKXw2i22Ittt/w8/nqpl71vUXA9BpotStRSqjkjh7dv355/e2ZvMBiYMmUKU6ZMcXL0IiL/LjnDYi+2P1oy0d7e9+6X2J5fibszlMfl6nG44N6+fTsLFy5kyZIluLu7M2jQIF599VXq1q1rH9O1a1fanr9G4hIeeughFi9ezOeff05gYKD9qJDg4GB8fX3Jzc3ltttuY/v27XzxxRfk5eXZx4SFheHlpX9RRMT5ziZqt/w8/j6v2P6u1vXMCGtKNyVqKaWcmcNFREqas0vBUjItBOSYefWLl4lOP87h4Ircedd0koIiATidbS3mSKU8cbjgvv766+nSpQvz58+nd+/eeHp6XjCmfv363Hnnnf95r/nz5wMFT8nPt3DhQoYMGUJiYiIrV64E4Nprry00Zv369Rd8TkTEGUzZ1osW2yNuexpQopbSy5k5XESkJElMNXM41Ux6lpWY7DS+WPQw26rW5cdqDRh763h7sQ0Q6HPhf/tEXMXhgvvvv/8mOjr6X8f4+/uzcOHC/7zXfy0fr1Gjxn+OERFxtiAv90LF9rqazezFNihRS+nlzBwuIlJSHEnJxJSdi8FgoFZWCjX698I7/RhutnxuHjqb097+9rFt4yKICNAsNbl6HC64zyZqi8XCyZMnyc/PL9RfvXp150QmIlIcbDaqTfo/++WGmOsYdvsU+7UStZRmyuEiUtYcSsnkieW/sSUhhcbH9rHy/XEAWKtH89bYOZw+fu4U5LZxEbzYr7GWhclV5XDBvW/fPoYPH873339fqN1ms2EwGMjLy3NacCIirlbo6C9fTyL8vQiuHoXNYGDJ7aN5IqarfawStZR2yuEiUpacMGXbi+0u+7fy9rLn7X0T7p/JkNva0N8AWZZ8wv29dHynFAuHC+6hQ4fi4eHBF198QeXKlYt89JeISEmTlJ7FhM92EZ+QDDYb4+M/5MjNfXlk9P9RpXdvbq5Vh+Y6Z1vKEOVwESlL0jItbElIofP+HwsV2/0HTOdHky9DDXAkNYs6FQOpFRlQjJFKeeZwwb1z5062bdtWaEdTEZHSxmi2cDjVzGPd6zDSXJMbaxdspnLi97U8GRrJy0NaEuynAlvKFuVwESlLTNm5NDyewDvLnrO3je8xlh+rNwIgIzuPEF9PLQWTYuVwwV2/fn2Sk5NdEYuIyFWTZrYyZ91+fth3stAGaflTnmFnqpWTp3NUbEuZoxwuIqXd+UvBKuzbzRfvPWLv+78ej7C0USf7dZCPB8G+nsrnUqyKVHCbTCb79y+++CKPPfYY06ZNo1GjRhccKRIUFOTcCEVEnOyEKZsnV/x2QbH9Q/VGvB7YlBdvisGYpaO/pGxQDheRsuJomplDKQVHf0Xs/4OYfp3tfQPunMYP0Y3t161jwwny8aBamF9xhCpiV6SCOyQkpNA6L5vNRqdOnQqN0YYrIlLSnX0qnp2bd+GbbQwMGDAdElKY0L0u7lrbKmWEcriIlAWJqWYmLNvFloQU6p38m68XjrH3vfTo6/zgdu7Iw9ax4Uzt04iocP+L3UrkqipSwb1+/XpXxyEi4lJJ6VlMWLqL+P3JzBtwbaFiG6DmhFX27zNz8qgc5HO1QxRxCeVwESntTpiymXim2I5NPsx7nzxt75s6bg4thvbj6xBfTmfnEuTjQai/FxWVx6WEKFLB3a5dO4dvPHLkSJ599lkiIiIc/qyIiDOdNGWzce9JhrSswYDro+hxTdVC/TUmfFHoOtjXkxC/wlNtRUor5XARKc2OpplJN1uJT0ih7skDfLNwNAAZXr7c2/cpfvCMoQWQY83jhpiw4g1W5CLc/nvI5fnwww8LrRsTESkOx9LMZFnzqB7uT441j0Yzp9j7dlaOu6DYPrvmSxusSHmmHC4iJUFiqpnHlu7iUKqZVgd32ottgCG3T+GH6GsAyMnNJ9BHD8qlZHJ4l/Kistlsrrq1iEiRHE01Y8nL56nPd7NlfzIffDyJqEM7ATj59FRmVusICSn28WfXfFUN1QYrUr4ph4tIcTt/Gvl4wxH+9/FT9r5BdzzLL9Ua2K919JeUZC4ruEVEilNiqplN+0/x9W/H2LI/mYMzbrX3LbzuVuJrdGZo82gmdK9LtiWfQK35EhERKRGS0rM4mJxJfEIKdU4dpOmLo+x9k7o8QHxMU/t169hwosP9NDNNSiwV3CJS5iSlZ2HMshIbGcjQVj58cO+N9r6X2gzi9Zb94c9TDGwezUlTDs2iQ5WoRURESoATpmwOJmdiMBj4uGUAzXudK7bfu3McH0R3tF+3iYtgumamSQmngltEypTDKZk8ufw34hNSwGYr9GZ7d+W4gmL7jJzcfGpV8FexLSIiUgIkpWcx4bNfiU9IIe7UIda8+5C97+FBzxN1920siAohJzef6DA/IgK9NTNNSjwV3CJSZpw0ZbMlIZkhrWIYcEP1C3Yj/2bRKliXYL8O8fWkkhK1iIhIsTOaLQXHdyakUNl0qlCxPWPMy0TdfDNzz+Tw1rHhvNivsYptKRVctkv53XffTVBQkKtuLyJygUxLLl/8dozhi36+oNiuP+lrmkSF2K+15kvk0pTDReRqS86wEL8/mVrJR/junQft7UNve5p5vnXsObxNXAQv9G2saeRSalzWG+7s7Gx27drFyZMnyc/PL9TXs2dPAObPn3/l0YmIFNEJUzaTVxTsRv7z64MK9Q18+weGVQ8lJ7fgv1da8yXlmXK4iJQkJ0zZpGVaMGZZqZVyhLULzhXbvQa9zK9V6gDg5+XB4hHNqRUZoDfbUqo4XHB/88033HPPPSQnJ1/QZzAYyMvLc0pgIiKOSMsseDL+9Nq3qJCZDsCfEdHcNPx1SEhhWKsYKgX5sPqRNlQK8tGbbSmXlMNFpCQ5nJLJxOW/sSUhhc8a5bP2vDfbI/pOshfbUHBcYUyEv4ptKXUcnlI+atQobr/9do4dO0Z+fn6hLyVqEbnajGYLf53MwGi28Mx3bzB02yoAJne+v6DYPo+flzt1KgWp2JZySzlcREqKpPQse7F9TdJemt3d0943ou8kvotrbr9uExdBrcgAKof4FkeoIlfE4TfcJ0+eZNy4cVSsWNEV8YiIFFlSelbBBiv7TnFwxq2cTc3fxrXg/etuLTS2UpAPYf4qtKV8Uw4XkZLgaJoZU3YuWxJSiEk9yucfjLf3Lek7slCx3TYuQhukSanmcMF92223sWHDBmrVquWKeEREisS+m+mZYvusL+u04qHeEwuNbRMbTrCvp95sS7mnHC4ixe1wqpknl+1iQPNoaqQeZf3b99v7pnZ7AO/7x7AgKoRAHw/C/b2JCPBS/pZSzWCz2WyOfMBsNnP77bdToUIFGjVqhKenZ6H+MWPGODXAK2UymQgODsZoNGrHVZEy5K+TGXR6eUOhYttSsxbDJn7I5oQUe1ub2Aim9mlI9XD/4ghTypmSnnOUw0WkOB1NM/PY0l1sSUhhcbswWvZoae+7v88TrK597vqbh9tQt7L+vZerw5X5xuE33IsXL2b16tX4+vqyYcMGDAaDvc9gMJS4ZC0iZZMpy1Ko2AZoOXQ+L7aKYUL3umRZ8gjy8STU30vT0ETOUA4XkeJiNFs4lGJmS0IKwVmnadnjFnvfP4vt1rHhhGoZmJQRDhfcTz31FM8++yyPP/44bm4uO8ZbROTSbDaa1Agv1FRjwheQYWH4e78AsHZcO2pFBhRHdCIllnK4iBSX5AwL6VlWqqcdY9Nb99rbX3tgKquDr7Fft44NZ1qfRnpYLmWGwwW3xWKhf//+StQiUjxsNujbt1BTjQlfFLpuGxdBRICejIv8k3K4iBQXU7aVkKTDhYrtnvfPp22fDiyICiEnN5+YCH+CfT2pot3IpQxxOOMOHjyYjz/+2BWxiIhcwGi2cCg5kz+SjPx8IAXTnXfDihUA5Fatxj3vbC00/uxuptpgReRCyuEicjWdPbpzx+E0QvbsouVNLex9o3o+xq6QKOauS2D4e7+w5MfDBPl4qNiWMsfhN9x5eXnMmDGD1atX07hx4ws2XHnllVecFpyIlG9HU82YcnIxZVnx83KnxgtTCPpkMQDG518g+MkJzDFbSM6wcDrbSqCPp3YzFfkXyuEicrUcScnkSFoW6VlWQo4foclN7e1974x4mi/Cr7dft44NZ2rfRlQN9SuGSEVcy+GC+7fffqNJkyYA7N69u1Df+ZuviIhcicMpmTy5/Dfiz+w4/teMnrjb8gE42e1WnqzWkZlmC8F+KrBFiko5XESuhkMpmTyx/De2JKRQLf04m98cYe/74pahxIx7kAVATm4+Ib6eRIf7qdiWMsvhgnv9+vWuiENExO6EKbtQsX3wxXM7mSZVqs6GZ+ZQx5hNcoZFxbaIA5TDRcTVjqaZeepMsV0hI61Qsf3mkCc5PWAQt4T4km3N08w0KRccLrjPl5iYiMFgoGrVqs6KR0SENLPlosV2mk8gLQfPY0GQDxWDfDidbS2uEEVKPeVwEXEFU3Yu8QkpVDOeYPMbw+3tD98yns8r3siCqBCyrXlcWz20GKMUuXoc3jQtPz+fZ599luDgYKKjo6levTohISE899xz5OfnuyJGESlHktKzOJqWBcDemX0K9TV5eAlQMAUtJzefQB/PCz4vIpemHC4irmbKshKUnVGo2B50x7N83qADgPK3lDsOv+F+8sknWbBgAS+88AKtWrXCZrOxZcsWpkyZQnZ2NlOnTnVFnCJSxhnNFtLNVp5a8RtDWsUwessSvPMK3mBne3hRd/wy+1hvDzd8Pd119JeIg5TDRcTVwlKOs+u1O+3XY28eR3xMU/t1iK+n8reUKw4X3O+99x7vvPMOPXv2tLddc801VK1alZEjRypZi4jDktKzmLB0F0Na1iA+IYX7tnzM+M3/A2BH5Tr0uedl+9hWseGcNGXTtnYFrfkScZByuIg4m/HMaSGmbCvhiX8T16qZva/70Nnsiaxpv24dG05UqK/yt5QrDhfcqamp1K1b94L2unXrkpqa6pSgRKT8MJotTFi6i/j9yQy4oTrvfTKZNge2A/Bx35FMiOthH9sqNpzRHeOICvHVbqYil0E5XEScKTHVzOFUM+lZVsIP7qd6z3b2vneHT2JPxLliu01sBM/3aUhUuH9xhCpSbBwuuK+55hrmzp3L7NmzC7XPnTuXa665xmmBiUj5kG62MqRlDQbcUJ2mi9+k0pli+9UOQzA8+DCfxUaQm2/Dz8udQG8Pwvy1m6nI5VIOFxFnOf/or0qmZLbOH2LvW9lrBF1fepwbs3M5nW0l0MeTIB8PPSyXcsnhgnvGjBncfPPNfPfdd9x4440YDAa+//57jhw5wldffeWKGEWkjEpKz+KpFQXHfz2w9TN6bFwEwMLrbuW1G26D7/Yz67v9ALSNi2DOgCYqtkWugHK4iDjDCVO2/eiviqcLF9urO97OvpH/RwNrPvUqBxVfkCIlhMO7lLdr1459+/bRp08f0tPTSU1NpW/fvuzdu5c2bdq4IkYRKYPsU8kTUvjx9Xt4/EyxnTDmcdY+8EShsW3jInixX2MV2yJXSDlcRJzh7PGdQdkZ/DhviL390e5juP/6wTSJCtHRnSJnOPSG22q10rVrV958801trCIiVyQ5w0L8/mS2zb6L8CwTAB806cH04HYMqx7KhO51OWnKoXqYH5GB3iq2Ra6QcriIOIPRbMGUlUvk6RR+mjfY3v7YTWP4tHFXQEd/iZzPoTfcnp6e7N69G4PB4Kp4RKQMM5ot/HUygx2H08jJzeP3t4bYi22LmweTuo7EbMlj7roETppyqF85iLiKgSq2RZxAOVxErlRSehajluwg0GIuVGzfc/szfHJNV/u1jv4SOcfhKeX33HMPCxYscEUsIlKGnU3SnV7ZSJ9537N84Dj805IByDW4UfvRFYXGVw/zo3KIbzFEKlJ2KYeLyOU6uxRs++7DRA+63d4+sdsoNtW8zn7dOjacajr6S8TO4U3TLBYL77zzDmvWrKFZs2b4+xfe2v+VV15xWnAiUjacMGVzMDmTATdUZ2irGNxeeZn2G94FYGuzTmye+jqsS7CPbxsXQWSgd3GFK1JmKYeLyOVKzrDw5479rP5gPH6mk+QGBTNl9KssyY20j2kTG8HEHnUJ9tV0cpGzHC64d+/eTdOmTQHYt29foT5NUxORf0pKz2LCZ78Sn5ACwMJPn6b939sAeL3tQF66cQALokLs47VBmojrKIeLyOUyH07k59cH2a9/XfAJDaLqsCDIh5zcfLw93Dh5OocwPx3fKXK+IhXcu3btomHDhri5ubF+/XpXxyQiZcT5O5EDDP95BR3OFNtfd7qDrMcmwboEgn09WTGyJYE+BWu+lKhFnEc5XEQuh9FsITnDginbSnBeDo2ur2fve6rrSJbtymdYUDaRQT4AVA3xpVl0qHK4yD8UaQ13kyZNSE4uWGtZs2ZNUlJSXBqUiJR+RrOFY8Zs4vcX/Ldj2M+fM2ndOwDMa3EbD143iCZn3myH+nlxbfVQakUGKFGLOJlyuIg46vx9VwbOWsupdl3sfc/dNJIPm/Swb3I6/L1f+Oinw1QO9lEOF7mIIhXcISEhHDhwAICDBw+Sn5/v0qBEpHQ7m6j/Ts4EYNMbw5m87m0A5tzYnxltB4PBQE5uPm3jIrSTqYgLKYeLiCPsS8H2JxOemc5HSybS/MhuTF5+PP3EAmKfmVBovJaCify7Ik0p79evH+3ataNy5coYDAaaNWuGu7v7Rcf+/fffTg1QREoX+zTy/ckMaVmDjW+OoLrxBAC7KsXycpu74cxa0RBfTyVpERdTDheRojqcksmRtCziE1IIz0xn29y7gYLTRO7p/xw78yqyJjqUtePacTrbqqVgIkVQpIL7rbfeom/fviQkJDBmzBjuvfdeAgMDXR2biJQyZ6eRn92NvNntXQlKP27v73nPq/Ziu01cBLUiA6h4Zu2XiLiGcriIFMUJUzYTl//GwObR+FqyWfzRE/a+yV0fZGeVOgBk5uRybfXQ4gpTpNQp8i7lN910EwDbtm3j4Ycf/s9knZiYSJUqVXBzc/iobxEphRJTzUxcdm6DtMHbVtFx96/2/hqPrbIX22enn6nYFrk6lMNF5N8YzRZSMy1sSUhhRNOKLFj6LHWSDwMwufP9LL62u31soI+O/BJxhMPHgi1cuLBI4+rXr8/OnTupWbOmw0GJSOlyNM3MhGW72HKm2L5n2yqe+e5NAL7t0A/3uXNZcGbNds0If22sIlJMlMNF5J+S0rOYsHQXI9vHEmo20uG6gn/vT3v5MviOZ9le9dzu5Np3RcRxLnt0bbPZXHVrESlBjGYLh1LM9mL76e/e5Nkzxfb85rdx3/VDwGDQLqYipYhyuEj5cP6+K8HmdHbMGWjve3nsrELFdhttjiZyWYp1rtj06dO5/vrrCQwMJDIykt69e7N3795CY2w2G1OmTKFKlSr4+vrSvn17fv/992KKWETOd3bNtuHMVPG7t3/J0G2rANhUowkvtiu8G7kStYiISMmRnGEhfn8yPtZsanZpY29/qfNwAjq2Y8HgZswb2JT/jWjOi/0aUznEtxijFSmdirXg3rhxIw899BBbt25lzZo15Obm0rVrVzIzM+1jZsyYwSuvvMLcuXP5+eefqVSpEl26dOH06dPFGLmInD3666bX4jFbchn28+c8v2Y+AG/c0Jd77njWvma7ZoQ/cwY0UaIWEREpIYxmCzm5ebzRrx7f/zAbnxPHAFhy20O8fl0f+xnbi388RFSoL1WUw0Uui8NruJ3pm2++KXS9cOFCIiMj2bZtG23btsVmszFr1iyefPJJ+vbtC8B7771HxYoVWbx4Mffff/8F98zJySEnJ8d+bTKZXPuHECmHzp+CBtDolvZ0+vtPAN68oS8vtB9aaDdyTSMXEREpOc6u29616wBr33mAMLORLG8/9iz8mMpNbmBVoBcZ2XmE+HkS5u+lTU5FroDL3nCfnWLqCKPRCEBYWBgABw4c4Pjx43Tt2tU+xtvbm3bt2vH9999f9B7Tp08nODjY/hUVFXUZ0YvIv0kzWxjSsgbzBjblt5WPE3mm2AaYfl6x3To2nOd7N1SxLVLKXE4OF5HS4YQpm4PJmQyqH8qvswcQYS74/+9Btz3Ny5kR/HI4jVvnbGH+hgSqBPuo2Ba5Qi57w+3ohis2m41x48bRunVrGjZsCMDx4wXn91asWLHQ2IoVK3Lo0KGL3mfixImMGzfOfm0ymVR0izjRoZRMJq3YTXxCCjO/fJXAPbvtfbO+/ZMF1ULw8/Ig32YjzN+LEF8dHyJS2mjTNJGy54QpmzSzhaNpWbjnZBM3epi9L+GRJ/gjsDHmhBSGtYrRvisiTuTwG+5FixZhNpv/c9wff/xBdHR0ke87atQodu3axZIlSy7o++eTdpvNdsmn797e3gQFBRX6EhHnSEw188Ty34hPSGHAzm+4bfdae9/At74n1wbD3/uFAB93DqeaCfX1VLIWKUFclcNFpGQ7lJLJ/32yk5tmxTNywfcY+vYlZtsWcn39mNDr/3i6wa0Max0DQLCvp/ZdEXEihwvuiRMnUqlSJYYPH37Jad0AUVFRuLu7F+meo0ePZuXKlaxfv55q1arZ2ytVqgSce9N91smTJy946y0irmM0W9h/4jRH07MY3romb2X9wvTVcwFY0KwXNR5bxZa/UmkSFUKbuAiCvD3p0bASlZSsRUoUV+RwESnZzn9YHpSdwd6X+9LuwHYyPX2YPmomFUaOYEtCCk2iQgAI9fPSw3IRJ3K44E5MTOTDDz8kLS2NDh06ULduXV588cULiuKisNlsjBo1imXLlrFu3TpiYmIK9cfExFCpUiXWrFljb7NYLGzcuJGWLVs6/PNExHGJqWZGLd5Ol1c30f+trWwcPZmus6cA8P4NvXiu4wj7mm2AGf0aEx3hr2QtUgI5M4eLSMlnNFs4nGpmS0IKgTmZ7HrtTnvf0NunsMCtur3QPnuEZ0SA8reIMzlccLu7u9OzZ0+WLVvGkSNHuO+++/jf//5H9erV6dmzJ59//jn5+flFutdDDz3Ehx9+yOLFiwkMDOT48eMcP36crKwsoGAq+SOPPMK0adNYvnw5u3fvZsiQIfj5+XHXXXc5GrqIOOhompkJy3YRn5ACQP9fV/PMd28CcCq8EieffaFQsV011FdT0ERKMGfmcBEp+Y6bsknPsuKda+GN5VPt7a+0HshPUQV7JuXkFvw7H+LrqXXbIi5wRbuUR0ZG0qpVK2688Ubc3Nz47bffGDJkCLVq1WLDhg3/+fn58+djNBpp3749lStXtn99/PHH9jGPPfYYjzzyCCNHjqRZs2YcPXqUb7/9lsDAwCsJXUT+g9Fs4VBKwVNxgLHx/+PFb+YAsPC6W7l++Ns0qR5qH98mNoJQJWmRUuNKc7iIlFxnl4KlZVqJ9nPj602zaHVoF1Y3d57teC+zWw2wj/X2cKNNXAS1IgP00FzEBS5rl/ITJ07wwQcfsHDhQv7++2969+7NF198QefOncnKyuKpp55i8ODBl9xJ/Kyi7IJqMBiYMmUKU6ZMuZxQReQyJWdYSM+yAvDJ/x7jhsQ/gIJi+5lO94HBYH8q3jo2nKl9GuroEJFSwFk5XERKpsRUMxPPzE4LyDGze9YdAOT5+DLi9ilsrNLAPrZVbDgnT+cwo19j5XARFzHYHDz749Zbb2X16tXUrl2bESNGcM8999jPzT4rKSmJatWqlYhpaSaTieDgYIxGo3YsFykio9nC0fQscvNtZLVsQ/Mj547+qvHYKvs08pWjWpGRnUv1MD+qhfkVV7giJUZJzzlXO4efPn2aSZMmsXz5ck6ePEmTJk147bXXuP7664v0+ZL++xQpaY6mmXl8aUGx7ZVrZd/Lfex9U8fPxbtrZ+auSwAKZqY927sBYdokTcSl+cbhN9yRkZFs3LiRG2+88ZJjKleuzIEDB64oMBEpHuc/GV+YvpkO5xXbMY+ttBfbbeIiCPbxJDrMT4lapJS42jl8xIgR7N69mw8++IAqVarw4Ycf0rlzZ/744w+qVq3qlJ8hIgWMZgunMiz2Ynv+imn2vjk39udtjxp82bAS9SsHEezrSVSoL9XD/YsxYpHyweE13O3ataNp06YXtFssFt5//32gYBq4zu8UKX3O3ySt329raffmi/a+mMdWYjMU/CejdWw40/s00m7kIqXM1czhWVlZLF26lBkzZtC2bVtiY2OZMmUKMTExzJ8//6KfycnJwWQyFfoSkaJJzrCQbcnDK9fKvBXT6PTXz2R7eDH0tqd5ue0gADJz8vD2cONwqplgX89ijlikfHC44B46dChGo/GC9tOnTzN06FCnBCUiV98JU7Z9k7TB21bx0lezcMPG4ma3MPObPbwz5AY+uq8Fi0c058V+jTWFXKQUupo5PDc3l7y8PHx8Cq8L9fX1ZfPmzRf9zPTp0wkODrZ/RUVFOTUmkbLIaLbw18kMUjItBOdls+/lPnQ+U2wP6zeZ9bXOLeHw8XTjve8P0r52BT0wF7lKHJ5SbrPZMJx3DNBZiYmJBAcHOyUoEbm6ktKzOJicSXqWlT6719mP/vqgSQ8mdbwf1v8FwGcP3EhcpUAlaZFS6mrm8MDAQG688Uaee+456tWrR8WKFVmyZAk//vgjcXFxF/3MxIkTGTdunP3aZDKp6Bb5F0npWUxYuov4/cl45lnZP/Pcmu2Hek3g+xrX2q9bxYYT6O3BnAFNlMdFrqIiF9xNmjTBYDBgMBjo1KkTHh7nPpqXl8eBAwe46aabXBKkiLiO0WxhwtJdDLihOtFfLePlL18FIDGoApO7PFDonO1QbawiUioVVw7/4IMPGDZsGFWrVsXd3Z2mTZty1113sX379ouO9/b2xtvb2+lxiJRFRrOFjftOMaRlDe5qUolmj95v71vV7W7Wxja3X7eKDWd0xzjC/JXHRa62IhfcvXv3BmDnzp1069aNgIAAe5+Xlxc1atSgX79+Tg9QRFwrOcNC/P5kXvh6NlWXLgbgw2u7M6nrg/Y121CwSVpEgJK0SGlUXDm8Vq1abNy4kczMTEwmE5UrV6Z///7ExMQ4/WeJlDdpZitf7Erip73Hef3zF6mwfysWDy9SZs8jq1kXFgR4k5Obj7eHGydP51BDm5yKFIsiF9xPP/00ADVq1KB///4XrMkSkdLJlG1l4adPU/XvbQAc7TuAb7qNwvZ3mn3M2U3SlKhFSqfizuH+/v74+/uTlpbG6tWrmTFjxlX9+SJlidFsId1sZdKK39j+x1H2v3obADnunozo+xT5ng0YFuBNpWAfsix5BPt60iw6VDlcpJg4vIZ78ODBrohDRK4io9lCcoYFU7aVuOEDCDhTbANMvnk011YLY2ibWuTk5hPi60l0uB9VQ7VJmkhpd7Vz+OrVq7HZbNSpU4eEhAQeffRR6tSpo01WRS7T2aM7h7SK4Ye9J0g4U2wD3N/nCeJjmkJCCsNaxeDj4U6DKtpfSaS4FangDgsLY9++fURERBAaGnrRDVfOSk1NdVpwIuJcRrOF46ZsEtOyMBgMmBe9T5PvVtv7b3jma+6oFkaTqBB7sV0rMoCKQZrRIlJaFWcONxqNTJw4kcTERMLCwujXrx9Tp07F01PHEYk46uzRnVsSUriraRXmrjx3dOeCZr3YcN5u5ICWgYmUEEUquF999VUCAwPt3/9bshaRkikpPYsJn+0iPiEZgJ5/bGTWFy/b++95I547Yiowd10CAG3jInixX2MV2yKlXHHm8DvuuIM77rjjqv08kbLKaLbYj+70zrVw3eMjidz3AznuHtzXdxIba15XaHy1UF9NIRcpIYpUcJ8/BW3IkCGuikVEXOSEKZsJn/1KfEIKAOM3fcDIrZ/iZstnfetb2fbki2za8DdP9GxM57qRBPp4EhGgnUxFygLlcJHSLznDQnqWFW9rDntfKdjg0Orhyf29n7yg2G4bF0ElPSwXKTHc/ntIYV999RWrV6++oP3bb7/l66+/dkpQIuI8SelZ/HUyw15s37JnE6N/+Bh3Wz4fN+rCsJb30iQ6DIBsax7XVg+lVmSAim2RMkg5XKR0MmVb8bHl2YttgAPjnsTarVuhcWdnpymHi5QcDhfcjz/+OHl5eRe05+fn8/jjjzslKBFxjrNvttOzrADcvCeeWatmArCjch0m3jQKm8GNnNx8AAJ9tK5SpCxTDhcpnYLcoeqoEfbr95reTG/v5jSpHsqCwc1YMLgZ3zzShjkDmlA5xLcYIxWRf3J4l/L9+/dTv379C9rr1q1LQkKCU4ISkSuXlJ7FweRM4hNSGNIqhtdWvkSvPRsB+LRhZx7rMcZ+zra3hxttdc62SJmnHC5SOpx/mkiQR0Gx7RO/mnxPL16973nmBNQHSx5z1yXQOjacJ3rUo3KQj95si5RADhfcwcHB/P3339SoUaNQe0JCAv7+/s6KS0SugNFsYeO+UzSoEsS8gU257rEHCTlTbP9QvRETuo+2F9utYsM5eTpHU9BEygHlcJGSLyk9iwlLdxG/PxnvXAt7X+4LgM3Tk7kPTcfW/WYWnDlNJNjXkzB/L8J8PZXDRUooh6eU9+zZk0ceeYS//vrL3paQkMD48ePp2bOnU4MTkcuTZrbyxa4kes7dQm7/Own5Yrm9b9Adz5Hv5g5Am7gInu/dkB4NK2kKmkg5oBwuUrKdMGVzMDmTATdUZ+HdTdjxzrlp5B8MfJT+z4yk1zVVCPb1pEa4H9VCfKkS7ENF5XCREsvhN9wvvfQSN910E3Xr1qVatWoAJCYm0qZNG2bOnOn0AEXEMUazhUkrfmNLQgo37d1Czz2b7H1LNu/no6phnDydQ7CvJ5WDfAjz027kIuWFcrhIyVVwfGfBiSLu+XnMWjUTP2MqAJ80uYnJFVvSKjuXuIqBxRypiDjisqaUf//996xZs4Zff/0VX19fGjduTNu2bV0Rn4g4KDnDQnxCCt32fs+clTMASAqMoN39b2NdtZcFg5ux5MfDjOwQi4+nm4ptkXJEOVykZDKaLUz4bBfxCSl45Vp5Z+mztD24A4ubB68/OA1D717w3X5OZ1uLO1QRcZDDBTeAwWCga9eudO3a1dnxiMgVMmVbeXz9uzzw0zIAljbowKM9HrFPIw/w9uChjrFEhfhSJdSvOEMVkWKgHC5S8pw8nUN8QjJeuVb2vdzH3v5Q78dZE1Cfz2IjmPXdfp0mIlIKFangnj17Nvfddx8+Pj7Mnj37X8eOGTPGKYGJyOWpvO5re7G9ttb1hYptgGA/T+1kKlKOKIeLlHzpWVbc8vMKFdsfXtudNXEtAMjNt+k0EZFSymCz2Wz/NSgmJoZffvmF8PBwYmJiLn0zg4G///7bqQFeKZPJRHBwMEajkaCgoOIOR8S1VqzAdvvtGHJzWR3XglG9JmB1P/c0vG1cBHMGNFGxLeIiJTHnKIeLlHx/HEll70396PPHBgCWNuzI+JvH2ftXjW5FhL+3NjgVcRFX5psiveE+cODARb8XkRJk2DBYuBADYL6tP4u7jsH6V5q9u21chI7+EimHlMNFSjiLhejR91L/jw1Y3dwZ1WsCq2u3tHe3ig0n0NtDxbZIKeXwsWDPPvssZrP5gvasrCyeffZZpwQlIg4aPhwWLiz43t8fvyUfMntgM9aOa8eKkS1ZO64dcwY0UbIWKeeUw0WK3wlTNn8eM/HTgVT+PJwM3t74f16wFGzu/c9fUGyP7hhHqB6Wi5RaRZpSfj53d3eOHTtGZGRkofaUlBQiIyPJy8tzaoBXStPRpKwxmi2cMOVgzLLi7+1OtSfGE/TegnMDsrPB27v4AhQpx0p6zlEOFyleh1Mymbi84OhOt/w8Fn72DO0ObAcg84GHWDn0MSIDvcnJzcfbw42Tp3PoULsClfTAXMSlin1K+flsNhsGg+GC9l9//ZWwsDCnBCUiF5eYambisoJjQwA6JfzIgqXnFdtZWSq2ReSSlMNFis8JU3ahYvulr1+zF9ubbuxBnRdn0sPDjeQMC6ezrQT6eNIsOlRLwURKuSIX3KGhoRgMBgwGA7Vr1y6UsPPy8sjIyOCBBx5wSZAiUlBsT1i2iy3nFdvzl08H4M+4a/n1nY9ob4GKPsUZpYiURMrhIsXLaLaQmmlhS0IKHnm5fLVwDLVTDpNrcGN0z8f4um5rvsm0ULdykApskTKmyAX3rFmzsNlsDBs2jGeeeYbg4GB7n5eXFzVq1ODGG290SZAi5V1impnDqWZ7sT1o+xc8t+YNAL6o05qHez7KWxVCSMu0UDFIFbeIFKYcLlJ8ktKzmLB0FwNuqI5HXi4JM3vb+8acKbYBTNm5xRShiLhSkQvuwYMHAwXHi7Rq1QoPD4dno4vIZTiaasaUbSXAx4N5A5tSdcs6GrxSMI08MagCj9z6f+S5uZOTm69kLSIXpRwuUjyMZgsTlu4ifn8yQ1pU5+PFj9v7vqzTiq/OFNsAQT7691KkLHJ4l/LAwED27Nljv/7888/p3bs3TzzxBBaLxanBiZR3RrOFI2lmpn+1h55zt/Dps29Sd9QQPKxWTnS9hZtHLSDXvSBBe3u4KVmLyL9SDhe5upIzLMTvT8Zgyydy3CiuS/oTKCi2H+o90T6udWw4of6aSi5SFjlccN9///3s27cPgL///pv+/fvj5+fHp59+ymOPPeb0AEXKs3SzlTnrE4hPSOHp795k4WfP4J2Xy1e1W/JonwkMalcbgDaxEZw0ZStZi8i/Ug4XuTqMZgv7T5wmJTOHhXc3YcO302n07TLy3d2Zc99zFxTb0/o00pIwkTLK4ddh+/bt49prrwXg008/pV27dixevJgtW7Zw5513MmvWLCeHKFI+Gc0WzNY8tpwptoduW2XvG9PzMXIPGhncLo7WseFM7FGXQG8PJWsR+VfK4SKul5SexYTPdhGfkIx7fh5/vdTL3vdkvwmE97udBVEh5OTmExPhT5i/l/K3SBl2WceC5efnA/Ddd99xyy23ABAVFUVycrJzoxMph4xmC6lmC5NX7GZA82ge2PpZoWK77rjP7NPIA7w9mNanEb6e7lRQshaR/6AcLuJaRrOFjXtPMaRVDQZcX41rnzs3c+TnJu0IH34Pc9clANA2LoI5A5poV3KRMs7hgrtZs2Y8//zzdO7cmY0bNzJ//nwADhw4QMWKFZ0eoEh5ciw9i0OpZl5ft5/4hBTG2Q7SOf5De3/dcZ+R7XmusA7x86R6uH9xhCoipZByuIjrJKVnYcq2EhnkjcFmo+rEsVT5+lPyDQYS7x7B4Bp9mRMVAhQU2y/2a6xiW6QccLjgnjVrFgMHDmTFihU8+eSTxMbGAvDZZ5/RsmVLpwcoUl4YzRYOpZjJs9mIT0ih7d/baPTKVDzyc1kT25zRPR8tVGy3iYugkt5qi4gDlMNFXONQSiZPLf+N+IQU3PLz2D+zD+62fGxubjzeczxH2/ZlWPVQ/Lw8+GpMa6qG+KrYFiknDDabzeaMG2VnZ+Pu7o6np6czbuc0JpOJ4OBgjEYjQUFBxR2OyCUdSs7kiRW/MbB5NJ8+W7BBGsDJjjfxf7c/waaDJvvYs0/GK4f4Fle4InIRpTXnKIeLXL6k9Cwe/exXtpwptv8+b832vOFPY75jAHPXJbBgcDMAaoT7UysyoLjCFZGLcGW+cdoZQj4+etMmciUyLblsSUjh/wyHmb9iur29S4uRDKoZyeB2tcnJzadmhD+Vg330ZFxEnEY5XOTyGbOsbElIwWDLZ8bXs+3tG2OaMiPiehacmUYOcPJ0Ds2iQ4shShEpLg4X3Hl5ebz66qt88sknHD58+IJzO1NTU50WnEh5YDRbSM6wkJmTR7e939Pw1ZfxzLXwbVwLHuo1AWuem32DlTZxEczVBisicpmUw0Wc62iamdPZuRhs+Tz37Xxu270WgM/rtePhno8CkJNbsFFhpSAfGlQOUg4XKWccPof7mWee4ZVXXuGOO+7AaDQybtw4+vbti5ubG1OmTHFBiCJlV1J6FqOW7KDTKxup9tKzvLliGp6WHE516MaH42ZgdT83vbNNXATT+zRSohaRy6YcLuIcRrOFQ8mZPLZ0F6fNOWx6817u3vk1+RgYe/M4e7EN4O3hRpu4CCICvamkpWAi5Y7Da7hr1arF7NmzufnmmwkMDGTnzp32tq1bt7J48WJXxXpZtP5LSiqj2cKoJTuI35/M/216n1E/fGLvu+aJlQxqV5smZ87pDPH1JDrcj6qhfsUYsYj8l5Kec5TDRa7c0TQzxiwr07/aQ/z+ZA7OuNXeN+7msSxr2Ml+3So2nFsaV6F97Qrad0WkBHNlvnH4Dffx48dp1KgRAAEBARiNRgBuueUWvvzyS6cGJ1JWGc0WjhmzGXBDdVZWO1Wo2L53zncYz0wjH/7eLyz56TDVw1Rsi8iVUw4XuTKJqWYeW7qLY8Zs4vcn88x3b9j7fq9zXaFiu01sBM/3bkiPhpVUbIuUYw6v4a5WrRrHjh2jevXqxMbG8u2339K0aVN+/vlnvL29XRGjSJlyNM3MoRQz6VlWKm/7nnr/96C9r+1TK+hZuxp3dgoh0MeTcH8vIgK8NI1cRJxCOVzk8iWlZ3E6J5eHO9UGm40p373J4O1fko+BVzoNg8ceZcGZmWnRYX4E+nhQPdy/uMMWkWLmcMHdp08f1q5dS/PmzXn44YcZMGAACxYs4PDhw4wdO9YVMYqUGYdTzUxctostCSm0ObCdt5ZNxTM3h+S2nXji7in0jK5g3yBt7bh2OjZERJxKOVzk8hxOyeTJM+dsG2z5HJjRkxuAfAxM6D6GTxt3gTP5G2DxiOZUC9VbbRG5jIL7hRdesH9/2223Ua1aNb7//ntiY2Pp2bOnU4MTKUsSU808eabYbnF4Fx98MhmA9TWv4707J9EwugJNzhwd0jYugogAvdUWEedSDhdx3AlTtr3YxmbjwIxz/64812lEQbF9ntax4USH+2l2mogATjiHu0WLFrRo0cIZsYiUWUfTzBxKNRN/pth+97Nn7H0P9HmSnEMZDGpfMA2tbVwEL/ZrrEQtIi6nHC7y74xmC6mZFnux/fTat+x96U1vYN+dwyAhxd529kQR7bsiImcVqeBeuXJlkW+oJ+QihZ0wZZNutmLMsjJwx1dMWvcOPrkWNsRcx/19nyTHo6CwzsnNp2aEP3N0zraIOJFyuMjlOZaexYa9p2hQNYh5dzWh0cwpRG1bBcCbN/TltW73Mqx6KBNuqovZkkeonyeVgnyUw0WkkCIV3L179y7SzQwGA3l5eVcSj0iZknhmzfaA5tHUeec1enw7D4BNNZoUKrYBQnw9qRysRC0izqUcLuI4o9nCoRQzX/yWxMRluwod/fXHsy/zmrU+Zksec9cl0CQqhGqhvtSppKPrRORCRToWLD8/v0hfStQi5xxNMzNh2S7iE1Ko885sas1+0d73UO/HCxXbWu8lIq6iHC7iuDSzhTnr97NlfzL7Zvaxtz/V5UGmVm7JsNYxQME52ydP51ApyKe4QhWREs7hc7jPl52d7aw4RMqUs0/GtySkcP2R3dSafW6jontnrea097ljQtrERjCtb2Ot9xKRq0o5XOTSMi15bNmfzJPrF+CVnwvArkqxfNj0ZrYkpNAkKoRWseGM7hhHh9oV9MBcRC7J4U3T8vLymDZtGm+88QYnTpxg37591KxZk0mTJlGjRg2GDx/uijhFSgWj2UJyhoWc3DzSs6w0S/ydRZ9OsfePmruGOnFR3Nm1YIO0YF9PosP8qBamYltEXE85XOTSzuZwU7aV3Nx8nlj/Lvf+vAKASV0e4IOmt9jHBvl4MrV3Q0L9vFRsi8i/cvgN99SpU1m0aBEzZszAy+vcf2AaNWrEO++849C9Nm3axK233kqVKlUwGAysWLGiUH9GRgajRo2iWrVq+Pr6Uq9ePebPn+9oyCJXRVJ6FqOW7KDTKxs5mGKm2rqvWPTpFPyt2Wyq0YQmj6+gRlwUTaIKiu3oMD9qhKvYFpGrx5k5XKQsOT+H93l9C9fXiuC+n5cD8FTXkYWKbYBAXw9qRASo2BaR/+Rwwf3+++/z1ltvMXDgQNzd3e3tjRs35s8//3ToXpmZmVxzzTXMnTv3ov1jx47lm2++4cMPP2TPnj2MHTuW0aNH8/nnnzsatohLGc0WNu47xZCWNZg3sCl1/9pF40dGEGDJIj76Wu7t+xRpNg/mrktg+Hu/sOSnw0QEemsauYhcVc7M4SJlhdFsYcLSXcTvTwabrdAGaYuvuYkPm/QoNL5NbAShKrRFpIgcnlJ+9OhRYmNjL2jPz8/HarU6dK/u3bvTvXv3S/b/8MMPDB48mPbt2wNw33338eabb/LLL7/Qq1evi34mJyeHnJwc+7XJZHIoJpHLkWa28sWuJLYkpNA0cQ/vfzoZgHxvbxY//io5BzPtY1vHhjO9TyMqaoMVEbnKnJnDRcqCE6ZsUjMtjGwfy4RudQh8+kl7X0ZcXb4e9XThc7Zjw5nap6FyuIgUmcMFd4MGDYiPjyc6OrpQ+6effkqTJk2cFhhA69atWblyJcOGDaNKlSps2LCBffv28dprr13yM9OnT+eZZ55xahwi/8ZotjBpxW9sSUhh+M8rmLSuYFrm5uhrePfRWQxsV4/b2hWcsx3i60l0uJ/ebItIsbiaOVykpDuUkskTywvyNzYbj29cxAM/LgVgTpfhzG9xG8Oqh/J4j3pk5uQR5ONBqL+Xim0RcYjDBffTTz/NoEGDOHr0KPn5+Sxbtoy9e/fy/vvv88UXXzg1uNmzZ3PvvfdSrVo1PDw8cHNz45133qF169aX/MzEiRMZN26c/dpkMhEVFeXUuETg3OYqqWYLQ1vXZNjPK+hwptg+EFqZEf0mkX0kk7FB3uRY8wn18yIiQJuriEjxuZo5XKQkS0w1Fyq2z59Gvuiu8dR/6lHM7/3C3HUJ9Lm2Kg2qBBdjtCJSmjlccN966618/PHHTJs2DYPBwOTJk2natCmrVq2iS5cuTg1u9uzZbN26lZUrVxIdHc2mTZsYOXIklStXpnPnzhf9jLe3N97e3k6NQ+SfktKzzq33gkJvtgH63j2TbM+CJ+AnTTk0iw5VoS0ixe5q5nCRkupomhljltVebH+yeIK9780b+jI9qgOrggr+X7JtXAQRAcrfInL5HC64Abp160a3bt2cHUshWVlZPPHEEyxfvpybb74ZKNjUZefOncycOfOSBbeIqxXaXAVocvTPQsX26x9/T9r2VPt1tVBfFdsiUmJcjRwuUlIZzRYOpZgxGAxgs/F/8R9wQ+IfAPwdWoXpHYYBkJGdR9u4CF7s11g5XESuiMO7lF8tVqsVq9WKm1vhEN3d3cnPzy+mqEQgOcNiL7avTdrLe59Mtvc1Hf0/6jaqab9uGxdBJa31EhERKRGSMyykZ1kJ8HbjifXvMuqHTwCY0uk+Ot73ln1ciJ8ncwY0oXKIb3GFKiJlxGW94XaWjIwMEhIS7NcHDhxg586dhIWFUb16ddq1a8ejjz6Kr68v0dHRbNy4kffff59XXnmlGKOW8s6UXbCT7+27vuXFr+fgho2tUQ0ZetsUsrx8yMkteCCkJ+MiIiIlh9FsISc3jzBfTxpFhdHoTPszne5lUbOe9nGtY8MJ89eeKyLiHMVacP/yyy906NDBfn12s7PBgwezaNEiPvroIyZOnMjAgQNJTU0lOjqaqVOn8sADDxRXyFKOnTBlk5ZpITfPxqdN3bn+xdkA7K5Yy15sA9QI92PtuHbaIE1ERKQEMJotpJmtTFrxG/H7k/l2wUP2vr9q1Gdhs3NHzbaODWeqju4UEScq1oK7ffv22Gy2S/ZXqlSJhQsXXsWIRC7ucEomE8/sZtr42D4+/HgSABm1avNgz3PFdtu4CKqGaM22iIhISZCUnsXGfaf4YlcSW/YnM3bz/6idcrigLziSnz76iq+iQjFmWQny8SDY15NqYTq6U0Scp8Su4RYpKU6Ysu3F9t07vmLl++MIysnkx2oNGPPIfHrd1BTQFHIREZGS5Owmp5GB3mxJSGHs5v/x8PcfAfBcxxG0fOBdJi7fTW5+PjabjRA/Fdsi4nwOv+E+/4zr8xkMBnx8fIiNjaVXr16EhYVdcXAixe2EKZvUTAtbElIYuOMrnv92nr1v6O1TMCdmMb5vJfpcW1VTyEWkxFMOl/Lk7CanA26ozsEXb7G3P9dhOAuu722/tuTm06BKkHK4iLiEwwX3jh072L59O3l5edSpUwebzcb+/ftxd3enbt26zJs3j/Hjx7N582bq16/viphFroqz08gH/j979x0dRfX+cfwdSO+NAIEQSuhdRTpIEwGRptJEEFAUEQEpIiKoFMECAmL7IaB+QVSKXUQRDCAqTUARCNITShKSkGySTZnfH4GFSMvCbjbl8zpnz8nM3J15ZgN59pm5c2/jcPru+p7plxXbjZ78EJNrzsilKelZ1A71c1SYIiJ5phwuxcnFQU7rvvK8Zd2WCvVYdGePXO0CPHXBXETsx+ou5d26daN9+/ZER0ezfft2duzYwcmTJ+nQoQN9+/bl5MmTtGrVitGjR9sjXpF8EZ2QyqQL3ciD9+9h5toFlm2NnvyQs96X7v74ujt0KAQRkTxTDpfiINFk5tCZZDKzDdan/ELYsg8AOO5Xmn59Z+Rq26pqMMHeKrZFxH6cjOuNWnYV5cqVY926dVdc+f7rr7+4++67OXnyJDt27ODuu+8mNjbWpsHejKSkJPz8/EhMTMTX19fR4UghEJ2QypHYFPr932/UPhXF5yun4JGcSLyHL/c8Mp8zPkGWti0ignj9wQYazVREgIKfc5TDpaiLTkhlwsrdRB6MZda3b9J7zzoAzj7/EhOqdGT9P2ctbS+OvaK5tkXEnvnG6ltziYmJnDlz5opkffbsWZKSkgDw9/fHbDbbJkKRfHRxgJW+d1agzaE/WPz5iwAkNGzE+EdmcuZkmqVti4ggZmjqEBEpRJTDpSi7mMMjD8ay/7UeuGXldCl/pfUg9oR3YHDjcPo3DgegfIAHZXzd1ZVcROzO6oK7W7duDB48mNdff51GjRrh5OTE77//ztixY+nevTsAv//+O9WqVbN1rCJ2d3GAlRH+55nz9esAZDqVoEOHCfSuXp6+7f1Jz8ymUrAXgV6uKrZFpFBRDpei7GIOn/3tXEuxHefhyztN7oeoOCZ1rombc0kNcioi+crqgvvdd99l9OjR9OnTh8zMzJydODszcOBA5syZA0CNGjX4v//7P9tGKpIPktIyqHX6X+o9MhmPtGS2h9bg0V6TiXdyZ8H6KEDdyEWk8FIOl6IsKS2D4b9+yoN7fgTgnLsPt49cZtluzsymlgY5FZF8ZvUz3BclJyfz77//YhgGVapUwdvb29ax2YSe/5IbSTSZiU02k5SWQek1Kwh9+gkAEurfztghs/jxsm7kLSOCmd6jDhWCvBwVrogUYIUl5yiHS1F07qnRBCyYC8DsVg+zsOmDubb/NKY1VUIK5r91EXGsAvUM90Xe3t7Uq1fPlrGI5KtEk5l4k5kX1uwlMiqOnnt/4o1v5li2d7v3ebpe1o3c38OFisFehGpwFREp5JTDpSi4/IJ5vbqVCEhKBK5ebGs0chFxFKsL7pSUFF555RV++uknzpw5Q3Z2dq7t//77r82CE7GX6IRUNu4/y9d7otkcFcc9+zfnKraffmU1XRvWtHQj10imIlIUKIdLUXH5aORPbP2MhheK7axSpdj78HA4eGmU/Ys5XM9ti4gjWF1wDx06lI0bNzJgwADKli2Lk5OTPeISsZtEk5kJn+9mUPOKbI6Ko+aZf5n97ZuW7c2e+IDocy58X7cs7WuE4OPuogFWRKRIUA6XouDy0ciH/fY5EzYuBWBP6SrMm7WcV3vUJTktk/NpGcrhIuJwVhfc3333Hd988w3Nmze3RzwidpdgymBQ84p4ujpT48xh/vfJ8/iaTfwVUplHez1PtG8IAGkZWTSoEODgaEVEbEc5XAq7RJOZmMQ0+t5ZgTf/bxyBWyMBeL1Ff+Y37wv7zvBsp0w9qy0iBYbVBXdAQACBgYH2iEXE7qITUnl+zR4io+JY0ciN7xc/BcCfZaoyoPfLJLlfStA+7i6OClNExC6Uw6WwSjSZOWfKYPKFHP7HgocITEkA4NCIcSwKaAvmLADOp2U4MFIRkdxKWPuGl19+mRdeeAGTyWSPeETsxtIFLSqO6mePUHfIpQFV/ltst9TgKiJSBOVnDs/MzOT555+nUqVKeHh4ULlyZV566aUrnhsXuZHohFS+3XuKSReK7eG/fkqpC8V2llMJXqjfk8EtKlna64K5iBQkVt/hfv311zl06BClS5emYsWKuLjk/qO2Y8cOmwUnYkuxyWYiD8ZS6/S/fLTieTxTk0iqXY9nHn2VpJhLV8NbRgQxs0ddPe8lIkVOfubwWbNm8c4777B06VJq167Ntm3beOSRR/Dz8+Ppp5+22XGkaLt4sXxQs5xxV4b8vprxv3wIwCnvQJo8+SFExTG4eU7BrdHIRaSgsbrg7t69ux3CELGfi9OGxKWY+bp0NHVmjQRgd5kIHuv0PPfXDKfP3f54uTnj4+ZMgKcLoQGeDo5aRMT28jOH//rrr3Tr1o0uXboAULFiRZYvX862bdvyLQYp/C5eLO97ZwVe+2YO9+/9CYC5zfsyt0V/S7v0zGyNRi4iBZLVBfeUKVPsEYeIXVw+bUjnfzax8ItXLNsee2gGp0p6Wqb++n5US8r6uitRi0iRlZ85vEWLFrzzzjscOHCAatWq8eeff7Jp0ybmzp17zfekp6eTnp5uWU5KSsqHSKUgS7rwPHabTo3xOHkcgDeb5S62ASoHezG/b0PlcBEpcKx+hluksLh82pC6MQdzFdujp3/G/R3qWZZbVQ1WsS0iYkMTJkygb9++1KhRAxcXFxo2bMioUaPo27fvNd8zc+ZM/Pz8LK+wsLB8jFgKIl93Fwb/8YWl2AaY06JfrjatqgZT1k85XEQKpjzd4Q4MDOTAgQMEBwcTEBBw3Xk74+PjbRacyM06nZRGfIqZvndW4MnSZuoOmGbZ1uqx9zmW5MGiMP+cZXVBE5EizFE5fMWKFXz88ccsW7aM2rVrs2vXLkaNGkVoaCgDBw686nsmTpzImDFjLMtJSUkquou50KXv8sL69wE406ELox+YBIcu/TtVDheRgi5PBfecOXPw8fGx/Hy9ZC3iaMfiUpi4eg+bo+KoEnucTz6ZiFdKAudr1KFjl+eJds4ZjdzH3YWfxrQm2NtViVpEiixH5fBx48bx7LPP0qdPHwDq1q3L0aNHmTlz5jULbjc3N9zc3PIlPil4Ek1mzpxPJyE1Ay/XkkR0bInH3j0AfNl5IM/e1pvB4YEMblEZgPIBHpRR7zQRKeDyVHBfnhgHDRpkr1hEbknOHJ1mJq/Zaym2f1r0BAB/hVRm3rDX6FmrouWZ7SAvV6qEeF9vlyIihZ6jcrjJZKJEidxPrpUsWVLTgslVnTpnIj3LIDPbIDvbIKLFbbge/heAlEeG0nr+Ar5KyeB8WgY+7i66WC4ihYbVz3Dv2LGDPXv2WJa/+OILunfvznPPPYfZbLZpcCJ5FZ2QyohlOzl0NoXIqDiqxOXc2b6of59prD2VScPLupFr2hARKW7yM4d37dqV6dOn880333DkyBFWr17NG2+8QY8ePWx6HCn8TsabSMvK5rk1e+j0ZiTfDptkKbYBfnxqCjg5USXEmwYVAqgS4q1iW0QKDasL7mHDhnHgwAEA/v33X3r37o2npyefffYZ48ePt3mAIjeSaDIz4fM/iYyKJT0zmzuP72X58ucolZLA3yGVaDByGQkevoCmDRGR4i0/c/j8+fO5//77GT58ODVr1mTs2LEMGzaMl19+2abHkcLt5DkTSekZTLrQO+3h7V/x4o/vArCrbDUeem8L9cP8iU3WTR0RKZysnhbswIEDNGjQAIDPPvuM1q1bs2zZMjZv3kyfPn2uO92HiD2cSkojMioOgHK/rOPTZc8CsK9URfr3nmYptgEqadoQESnG8jOH+/j4MHfuXH0vkGtKNJk5GmfC38uVzVFxfPzJJFoc/ROAtxvfz6zWA+FQPKkZ2aRnZDk4WhGRm2P1HW7DMCzPX/3444907twZgLCwMGJjY20bncgNHItLITE1E4B2Ub9Rf8SlZxUf7TWZc55+luUWEUEEeumZLxEpvpTDpaBINJmJSUzDycmJ86kZfPq/8ZZi+4Pb78spti8M8Hc+Nee5bRGRwsjqgvuOO+5g2rRpfPTRR2zcuJEuXboAcPjwYUqXLm3zAEWuJTohlUmr9+DlWpJK8SdZtPJSN8WxLy3nhN+lf48tIoKY0aMupX3dHRGqiEiBoBwuBUFMQirf7j3FyYRUnIAKn33InSf+tmx/qd2jlmIbwMfDReOuiEihZXWX8rlz59K/f3/WrFnDpEmTiIiIAODzzz+nWbNmNg9Q5GqiE1I5EpszQNq0Y4dY+dkky7auj79D68YNLfNslwvwIMDTVcW2iBR7yuHiaIkmM0fjTXy9O5rNUXH02/UdM9a+BcD/GtzDpLufzFVst4gIwsfdWb3TRKTQcjIMw7DFjtLS0ihZsiQuLgWry09SUhJ+fn4kJibi6+t74zdIgXfynImjcSacnJwouWc3DR/vj8vpGI6HVqZ7z5eI8/IHoHlEECPaVKVikCdl/T0cG7SIFAuFNecoh0t+ORqbwnNr9rA5Ko6vljxN3dOHAEgc/hRPNujLpkPxlrYtIoKY3qMu4UFejgpXRIoJe+Ybq+9wX4u7u+4eiv0djUvh+dV7iIyKo2L8STa8PwwAc42a/PHGR8yuWJ70zGzcnEtwJimNcv7uKrZFRG5AOVzyS4o5k81Rcaz8aKyl2N5Wriajw7rxVqeaTCpZIueZbQ8X/DxcCFUOF5FCzuqCu0SJEjhd1tXnv7KyNIqk2MfxeBPPrc65Kh5+Lprly5+zbHv2sdkMqlsFJydITsvC192Z6mV8KB/g6cCIRUQKFuVwcbQUcxZ9d33P7dH/WNbd3382JKRx34LNfDasKdXL+KgLuYgUGVYX3KtXr861nJGRwc6dO1m6dCkvvviizQITudzppDSSUjPo3ziccU7HqDtsOCWzMjkQVIG+fWcQd9qJLufTGbJ0Gy0jgpneo46KbRGR/1AOl/x2OimNcylmktIy8fVwJuzzj5m5dgEAX1dvwYhuE3I9s+3v6aJiW0SKFKsL7m7dul2x7v7776d27dqsWLGCIUOG2CQwkYtOxJuYuGo3kVFxtDy8g48+fQEAs18AQx5+hTjXnOcsPF2dWTa0MRWDvdQFTUTkKpTDJT8dj0thU1QsIb7upGdmU+3+Tvjv+B3Imfrrv6ORt6waTIiPm6PCFRGxC6unBbuWxo0b8+OPP9pqdyJATrE94UKx3eLwTkuxDfDCqHl0u+c2y7JhGFRSsS0iYjXlcLG1k+dMJJuzqBTsTWlfd+pNf9ZSbKe078iWEZNyFdutqgYzu1c93d0WkSLHJoOmpaamMn/+fMqXL2+L3YmQaDITn2ImJjGNzVFxhCWc4uNPJ1u2d3pkHvvSAixTf7WsGky4RiMXEbGacrjY2tG4FMuYKwAP7P6BV7/70LJ92AMvMKNrbSZ2NjifloGPe8482yq2RaQosrrgDggIyDXgimEYnD9/Hk9PTz7++GObBifFU3RCKhM+382g5hVJz8ymfMIpli+faNneedA89oVUBiA9M5sWEUFM616HcnpmW0TkupTDxd5OnDNdUWzP+m4+AGvbPYjzvDfZ9OF2zqdnUjvUz5GhiojkC6sL7rlz5+ZaLlGiBKVKlaJx48YEBATYKi4pphJNZias3E1kVCx9G1eg9K7fWf3xWEqlJHAosDx9+s7grHegpX14oCcze9YjLFDFtojIjSiHiz0lmswkmjIsxfaKZc/S+PheABbf3pUXbx/AV345U9CZ0jUivogUD1YX3AMHDrRHHCIAJJgyGNSsIn3vrEDl5DNUH9gDJ8PghG/IFcV2y6rBBPu4UdpX88eKiOSFcrjY05nz6SSlZQIw96tXLcV2Nk682O4xcHIiOS2n0PbxsMlTjSIiBZ7+2kmBEZ2QyvNr9hAZFUf5xNN8s3oyToZBlocHC59+lbPmS8V2i4ggZvaoq2JbRESkADh5zkR8ihlv95L02vMT3f/eaNlWZfwXlgHSvN1L0jIimAA9ry0ixYQKbikQLnUlj6PxsT2suPDMdkrFKkx+eh6htaqwKMyf9Mxs/DxcCA/0pLy6kYuIiDjcxRlFBjevhPeK//Hqd3MBWF7vbp67ZwSGU86kOC0igkhJz2R6jzq6YC4ixYYKbikQYpPNRB6M5c7jey3FNkDn7i/StVYVOtYuzZmkdEL9PSjl7aoB0kRERAqARJOZiat2szkqjulvP0PFHVsA+LF1D55r/EiuYntaj7q4lyxBGc0oIiLFiApuKRCS0jJodHwvny571rLuvoff4KibPwvWR9EwzJ8qpbwJ8HTRtCEiIiIFRGyymcioOAbs+NpSbCd7++H01lt86e9BcloWvu7OeLiWxLNkCUJUbItIMWN1wZ2amophGHh65txhPHr0KKtXr6ZWrVrcfffdNg9QiofA2FN8dlmx3W3A6+wuW82yXCHQk4rBXo4ITUSkyFAOF1s5nZTGuRQziakZRJaLpvyr71m2Lfr8V5p7uZGSnlNse7qWJNBL82yLSPFkdcHdrVs3evbsyeOPP05CQgKNGzfGxcWF2NhY3njjDZ544gl7xClF2bFjhPXqbFnsNuB1/gytblluVTWYEB83R0QmIlKkKIeLLRyLS2Hihbm2H9r5LS+uewcnI5uEhx6hQ9XenP35X+b8/C8Ay4Y2pnyAh4ptESm2Slj7hh07dtCyZUsAPv/8c0qXLs3Ro0f58MMPmTdvns0DlKLndFIa/8Qk8fvheA6vi4TwcEocOUJmpco8PfvLK4rtWb3qKVGLiNiAcrjcquiEVI6fS6V/43C2/fYm035YSEkjm2X1O/JUy6G88kADS9sWEUGEB3kqh4tIsWb1HW6TyYSPjw8AP/zwAz179qREiRI0adKEo0eP2jxAKVqOx6Vw7FwqiakZ+MWeIuDhfpZtzhs38FJQaUYmmzmfloGPuwvB3uqCJiJiK8rhcitOxJuYuCpnRpHHfltJ5w3rLNumdx1Jyr/nGN8lp0day6rBzOxRV4OcikixZ/Ud7oiICNasWcPx48dZu3at5ZmvM2fO4Ovra/MApeg4FpfCc6v30P//fuPlt9dSvmdn/E+dwFS+AlNf/IjTfqXw83SlSog3DSoEUCXEW8W2iIgNKYfLzTp+YeqvyKg4uv69kQkbl1q2DXgnkkdaVgEg1ZzFT2Nas6BvQ03fKSLCTRTcL7zwAmPHjqVixYrceeedNG3aFMi5Ut6wYUObByhFw8lzJiat3kNkVBwNT/7Dr28/QnjCKY76l2HCU/PwbtKIcylmR4cpIlKkKYfLzTgel8LxeBObo+LosXc9c79+nZJGNp/Uu5tK478k8nAiDcP8AfB1d9EFcxGRy1jdpfz++++nRYsWxMTEUL9+fcv6du3a0aNHD5sGJ0VDoslMgimDyKg46kfvZ/XHYy3b+vadQXS8M4vC/ElKy3RglCIiRZ9yuFjrWFwKJ86lkpCawdurZ9DpQM7UXyvqdmDiPSMs82ynZ2bTIiKIAC8V2iIil7P6DjdAmTJl8PHxYd26daSmpgLQqFEjatSoYdPgpPA7nZRGXIqZU0lp1DkVxRcfPWPZdn//WUT7hgA5idrXXdPCi4jYm3K45NXJcyYmrt5DQmoGYeu+shTbAM92espSbAP4ebgwo0ddSvu6OyJUEZECy+qCOy4ujnbt2lGtWjU6d+5MTEwMAEOHDuWZZ565wbtz++WXX+jatSuhoaE4OTmxZs2aK9rs27eP++67Dz8/P3x8fGjSpAnHjh2zNmxxgONxKRw6k0yqOQu30zG8v/Jly7YH+r3CtvK1Lct+Hi66Ki4iYme2zOFSdCWazBw8fZ4T51IZ0qIytTevpfa44ZbtVcZ9kavYblk1mErBXlQI8nJEuCIiBZrVBffo0aNxcXHh2LFjeHpeGgyjd+/efP/991btKyUlhfr167NgwYKrbj906BAtWrSgRo0abNiwgT///JPJkyfj7q6rpwXd0QsDpPX7v9849c+/1HqoO2WT4zjr6U+v/rP5I6yOpW3LiGAqBHjoqriIiJ3ZModL0RSdkMqI5TvpMOcXer+3lT1Dnqb8k0MpkZ1FTI/ePPTuZrJKlLS0bxERxMwedQn193Bg1CIiBZfVfXh/+OEH1q5dS/ny5XOtr1q1qtVTinTq1IlOnTpdc/ukSZPo3Lkzs2fPtqyrXLnydfeZnp5Oenq6ZTkpKcmqmOTWHb9QbG+OiqP0+Vjatb8XgNTQ8kx7ah7bEy7dyW4eEcRL3WsTpqviIiJ2Z8scLkVPosnMhM93ExkVC8C8L2dz375fAIhs2plT42fSIMnMIy2rkJ6Zjb+HC2GBnhqNXETkOqy+w52SkpLrqvhFsbGxuLm52SQogOzsbL755huqVatGx44dCQkJoXHjxlftdn65mTNn4ufnZ3mFhYXZLCa5sZPnTCSlZdK/cTgfdw7juy+nWrZ17TWNsNtqsWjgHSzsfxuLBt7BvfVCCdRIpiIi+SK/crgUTqeS0izF9r37frEU2wCPNH+MSmX8aBjmf6nYDvAgTMW2iMh1WV1wt2rVig8//NCy7OTkRHZ2Nq+++ipt2rSxWWBnzpwhOTmZV155hXvuuYcffviBHj160LNnTzZu3HjN902cOJHExETL6/jx4zaLSa4vOiGVZ1fupsv8TUx590fK9uhM4IkjpJUtx69rf6N0veosWB/FkKXbGP6/HSzdcoS7qpXS1CEiIvkkv3K4FC4Xn9k+l5LBB4Ma8abrv8z5+nXL9qpjV5NZ0pkz59MZsnQby347SvkAD/VOExHJA6u7lL/66qvcddddbNu2DbPZzPjx4/nrr7+Ij49n8+bNNgssOzsbgG7dujF69GgAGjRowJYtW3jnnXdo3br1Vd/n5uamq/QOkGgyM2HlbiKj4qh1+l++XTISgBO+pXjtqXlULOFPwwoGg5tXwtvNmQBPV0r7uqnYFhHJR/mVw6XwiE5IzdWN/KEd3zB1/Xs4Z2fxZd22jLrnabIvPLNdPsCDZUMbEx7kSbkA3dkWEckLq+9w16pVi927d3PnnXfSoUMHUlJS6NmzJzt37qRKlSo2Cyw4OBhnZ2dq1aqVa33NmjU1SnkBk2gyE5OYRuTB2FzFNkDfvjNZk+hG3XJ+LFgfxZLNRwj1c6daGR8V2yIi+Sy/crgUDqeT0pjw+Z+WYvv1b95g2rq3cc7KYlPjjhycNd9SbLesGoyfuwu1Q31VbIuIWOGmJj4uU6YML774oq1jycXV1ZVGjRqxf//+XOsPHDhAeHi4XY8teXfynImjcSacnJwITTqTq9ju13sax/3LADnzbLeICGJajzrqgiYi4kD5kcOl4DudkIopI4tBzSvRt3E45Teupd7e9ZbtD7cazvsVg2DjYZpHBPFytzqEByt/i4hYy+qC+5dffrnu9latWuV5X8nJyURFRVmWDx8+zK5duwgMDKRChQqMGzeO3r1706pVK9q0acP333/PV199xYYNG6wNW+zgRLyJCat2szkqjo+6hLP00ymWbf17T2NLxQaW5fBAT2b2qKtiW0TEgWyZw6XwSjSZOW/O4sUv9xIZFUeHg1tZuGYmAGkhZWg85F2ys0vi6erMooF3cOZ8OgGeLg6OWkSkcHIyDMOw5g0lSlzZC93Jycnyc1ZWVp73tWHDhqsO0jJw4ECWLFkCwAcffMDMmTM5ceIE1atX58UXX6Rbt255PkZSUhJ+fn4kJibi6+ub5/fJ9UUnpHIkNoWE1Ax8EuO4bWBPvP49SLRPMIPvn8I/IZUsbVtWDeaVnnXVBU1EiryCnnNsmcPzQ0H/PAurI7HJTF6TU2xPXfcOg3Z8DcCXNVvx2dPTqV+pFAvWR7Fo4B0s3XKEWb3qUVbzbItIEWbPfGP1He5z587lWs7IyGDnzp1MnjyZ6dOnW7Wvu+66ixvV+4MHD2bw4MHWhil2dCwuhUmr9xAZFUdwyjm2LRgAQEbZUF4bMZd/ki4V1q2qBitRi4gUELbM4VJ4pZiziIyKY+Z38+i7+wcAfqnYkNH3PkPW4UQGtapKy4hgKgd7Mb9vQ425IiJyC6wuuP38/K5Y16FDB9zc3Bg9ejTbt2+3SWBSMEUnpDJx9R42R8URlJLAsuWTLNsmPz2PLve1oAvg6epMgKcLZf3clahFRAoI5fDiK9FkJjbZTFJaBplZBu2ifrMU2wCP9ppM1oUB0gCm3FeLQC9X5XARkVtk9Sjl11KqVKkrBjiToiU6IZVzKWY2R8URmnSGZZ88R7W4Y5zyDuSuR9/lk3PuAAxZug3DMFRsi4gUEsrhRVtMQirf7j3FkbgUYhLTKPXLOt5ePdOyvfozq0h3vpSvg7zc8HAuqRwuImIDVt/h3r17d65lwzCIiYnhlVdeoX79+jYLTAqWi/NsD78rgojYY/y4aDgAp7wD6dN3JkcCywGXRiMPD/JUohYRKWCUw4ufRJOZo3Emvt4dzeaoOMb88hGdf10BwNc1WvJ017G57my3iAgiyMuFcoEad0VExBasLrgbNGiAk5PTFc9eN2nShA8++MBmgUnBcfk825OrYCm2AYb1mGQptgH8PVx4pWc9DZAmIlIAKYcXP/EpZub/fJDNUXFM/ul9hmz7AoAzbe/h0wcnkXU40dK2ZdVgpnfX9J0iIrZkdcF9+PDhXMslSpSgVKlSuLu72ywoKTgun2f7o/sqUa15bcu2R+6fwp+h1S3LLSOCqRjsRagGSBMRKZCUw4uXE+dMpGZm079xOOOz/qX+hWIboOOdj9O/Uikm3leP82mZ+Lo7E+DlSmlf/VsQEbElqwvu8PBwe8QhBdDl82wHmBJZ9smlAdLmPf0aP7vXsCy3iAhieo86KrZFRAow5fDi40S8iYmrdhMZFcddh7bx7uppAJy7rTFt757IOcOZBeujuKtaKe6sFOjgaEVEiq48Fdzz5s3L8w5Hjhx508FIwZFoMjPxQrEdlJLAxyuep+bZI5zxCmD2s2/z8KCOtHGC5LQsy1VxFdsiIgWPcnjxczopzVJsv/Djewze/iUA31ZrxiePzqJ/5Zx5tgH8PFwcGaqISJGXp4J7zpw5edqZk5OTknURcDopjfgUM30bh/NobX9aNasJwBmvAPr2ncGhZG86nU9nyNJtmmdbRKSAUw4vXk6eM5FgyiDywjPbF4vts57+jLxvPJlHEhnYuiqQ88x2iI+bI8MVESny8lRw//eZLym6jsal8PzqPURGxeGfmpSrG/nj/V7mUGAYkDPP9vdPt9TUXyIiBZxyePFxLN7EpFW76ds4nFb/brcMkAbQ8vH/I7Nkzte+9MxsWkYEMbNHXeVwERE7s9k83FL4HY9L4bkLxXbF+JN8tXQ0tc4c5qyXP2NfWk6z+9tb2mqebRERkYLj5LlLz2yX3bqR91flPLN9OKAsNUd/TprLpcHQwgM9mdmzHuU19ZeIiN1ZPWgawIkTJ/jyyy85duwYZrM517Y33njDJoFJ/jqdlMbxc6lsjooj/Fw0G94fBkB6SRf69JnJoRQfFoX5A2iebRGRQkw5vOg5nZRGgimD/o3DmfHrx4TPeguAH6o24cluE8goeek57ZYRwfh5ulBe03eKiOQLqwvun376ifvuu49KlSqxf/9+6tSpw5EjRzAMg9tuu80eMYqdXXxmOyE1gwrnYtj43mOWbU/dN55DwTndyNMzs2lZNZiZPepqnm0RkUJIObzoiU5IZcLnfxIZFcfgP76g8/r3AUivWp2Px8wm40iSpe3FHK5iW0Qk/1hdcE+cOJFnnnmGl156CR8fH1auXElISAj9+/fnnnvusUeMYkfH41JISsskOT2TKiXT+eW9Ry3bnuj2LD9Ua2pZrhjsxbRuddQFTUSkkFIOL1ouL7abH9nFhI1LLNtGjXmHga2rMbB1zgXz8EBPgn3cNM+2iEg+s/oZ7n379jFw4EAAnJ2dSU1Nxdvbm5deeolZs2bZPECxn6NxKTy7eg9d5m/i0Xk/4teti2Xb8G7P8l2NFpbllhHBJKVm4O+p6UNERAor5fCi41hcCodjUyzF9qKVL+GWlcGPVRpRc/TnfHckBYAhS7ex/Ldj+Hu6qNgWEXEAqwtuLy8v0tPTAQgNDeXQoUOWbbGxsbaLTOzq5DkTz63ew+aoOMolnuGT5RMpE/U35sAgJkz9H99eVmy3iAji5e51qBSo57ZFRAoz5fCi4cQ5EyfOpVLCyYkNCev434rncc8082OVRgzv/hyprjmFdXpmNi0igpjeU4+CiYg4itVdyps0acLmzZupVasWXbp04ZlnnmHPnj2sWrWKJk2a2CNGsbFjcSmcT8tkc1QcvmnJfLf4KXzTU0hw9+bhB6bRquntfFu3LEdiU/D3cCEswANfDxcV2yIihZxyeOF3+fSdw3/9lPG/fGjZ9syDz2POLmlZDg/0ZFaveiq2RUQcKM8F99mzZylVqhRvvPEGycnJAEydOpXk5GRWrFhBREQEc+bMsVugYhunk9KYuHoPI9pUxTctmY9WTMY3Pafb2djOo9ntH8bu9VG0jAimUrAXgV6u6oImIlLIKYcXDcfjL/VOa3r0z1zF9tB5PzKgenkWrI8CcgZI0zPbIiKOl+eCu1y5ctx3330MGTLEMrCKp6cnCxcutFtwYluJJjPxKWb6Nw4nOD6G3W/2ASDOw5d+fWewv1RFS1tvN2cV2yIiRYRyeOGXaDJzPN50odjezQefvwTA1rA6DO31Askn0+jb3h/IKbZn96qnHC4iUgDk+RnupUuXkpSURNeuXQkLC2Py5Mm5nv2Sgu1EvIkRy3bQ6c1Ipi/8nqp31rVs699neq5iu0VEEL7uzkrUIiJFhHJ44ZZoMhOTmEZCagZPb1rG8k+ewyMznZ8r387AB18i2S2ny7inqzP/G9qYWb3qUdbfw8FRi4gIWFFw9+3blx9++IHDhw/z6KOP8r///Y9q1arRpk0b/ve//5GWlmbPOOUWnDxnYsKq3URGxRGadIbN7wy2bHt7yBT+CalkWW4REcT0HnUJC/JyRKgiImIHyuGFV3RCKiOW7+Tf2BRCN//E6M3LLNse7zGJdOdL46sYhkFYgAehKrZFRAoMJ8MwjJt9808//cTixYtZvXo1rq6u9O3bt8B1T0tKSsLPz4/ExER8fX0dHU6+SzSZ+Ss6iX7/9xs+6Snsmdvbsu2FXuNp/fIYyvp7kGjKwNfdGX9PFw2uIiJykwpTzlEOL9gSTWYSTBk8vyZngLSVtczUe6w/LumpANQdtYLzbpcujresGszMnnUprxwuImI1e+abWyq4L1q5ciWPPfYYCQkJZGVl2SIumynuyTomMY1zpgzM5xKo+nAvQvf9CcCYLqNZVacdAAv738ay344yo0ddKujOtojITSuMOUc5vOCJPmciITUDw4Dz6ZkEbo2kytB+lExNJbZFG8b2m8KGo8mW9hd7p4Urh4uI3BR75hurpwW76MiRIyxevJilS5dy4sQJ2rRpw5AhQ2wZm9yCY3EpTLowbUjI+Ti+XTKSYFMiZr8A+jz4MjsCK1raVgr24vUHG+iZbRGRYkI5vOA6GW/i+DkT83+OYvN/pv5KadOOFx96kTrlgxlwlz/pmdk503cGehIWqDvbIiIFkVUFd1paGp999hmLFy/ml19+oVy5cgwaNIhHHnmEihUr2ilEsdbxuBQmXpg2xDvdxHurpxFsSgRg6sg5NGvRhB2XTRsS6ueuObZFRIo45fCCLzohlbPJZlLMWQxpUZneR3/jvsum/nrqgcn0bxoBQHpmNpWDvSirHC4iUqDlueB+7LHH+PTTT0lLS6Nbt25888033H333Tg5OdkzPrFSdEIqx86lWortpZ++QIOYgyS5evJsp5F8aw5mUZg/kNMFbWaPukrUIiJFnHJ4wXd5zzSARsf38tHKFy3b6z39CUlHk+kPDFm6jVZVg5nft6FyuIhIAZfngnvr1q28+OKLDBgwgMDAQHvGJLcgMTWDxNQMSp+P5beFgwBIcPemf5/p/FW6CpAzbciyoY0JD/LUAGkiIsWAcnjBdjopLVexfceJv1jy2VTcM9LYU7MR6195l6Qt0UDOne1WVYOZ1aueim0RkUIgzwX37t277RmH2MCJeBPZ2QYV0xMsxTZA/97TLMU2QICni7qgiYgUI8rhBds5k9lSbA/77XMmblgCwKbw+gztNIG3qobChYK7crCX7myLiBQiNz1omhQciSYz8SYzL6zZyz+7DvLHWw9btj3bcQR/lYmwLLesGqxiW0REpABINJk5ZzKTlJoJwO0n/rYU2wBDe00mzcWd9MxsQDlcRKQwKuHoAOTWRCek8u3eUzy/Zi87/jrORysmW7b934AJfNLgHstyi4ggpnevo0QtIiJ2V7FiRZycnK54Pfnkk44OrUA4lZBKdGIaJxPScHcpwW0n9rH0symW7Q1GLiPNJWf2EDfnErSMCNa4KyIihZDucBdiiSYzE1buZlCziuz8+wRLPp9KjdijADx/7yj8H3qERWH+eLk5k5VtEBbgoXm2RUQkX/zxxx+55vXeu3cvHTp04IEHHnBgVAXDxZ5p07/dx+aoON50/Zf/rZyChzmVzeH1GNLrBUux3TIimAqBnszqVZdQjbsiIlLoqOAupBJNZmIS04g8GMtDdYL4e07OF5gkNy/6957GnrJV4cLUX58Oa0qIrxt+Hi6ODFlERIqRUqVK5Vp+5ZVXqFKlCq1bt3ZQRAVHfIqZmReK7cF/fEG39e8D8Ff12xnSZeJlxXYQL3WvjZerMyG+7o4MWUREblKeCm5rBlupV6/eTQcjeROTkMqGA2epFOSFpzmVO58cYNn2UO+Xc4rty2RkZePmUkLd0EREiqGCkMPNZjMff/wxY8aMue5UZOnp6aSnp1uWk5KS7BKPIyWazCSbM4mMiuO2k/t44UKxDfDTzHd4q0YYXm7OeLqW5K+TibiXLKFiW0SkEMtTwd2gQQOcnJwwDOOGc3Ze3n1MbC/RZOZovImvd0fzaIMQFn/+IgHH92Ly8GJIt+fYXbZarvYtIoIID9T0XyIixVVByOFr1qwhISGBQYMGXbfdzJkzefHFF6/bprCLTTaTkpZFg+j9LPn00jPbt4/4mLjfTsNvp1nY/zays11oWbUUZZW/RUQKtTwNmnb48GH+/fdfDh8+zMqVK6lUqRILFy5k586d7Ny5k4ULF1KlShVWrlxp73iLtUSTmZikNFLSM3m8pg93NapC4+N7Oe/myd4PPqNEu7a52resGswrPetRPlDJWkSkuCoIOXzRokV06tSJ0NDQ67abOHEiiYmJltfx48ftFlN+SzSZOXQmmbgUM6V3bOHDFZPxNZvYGlaHmqM/J87L39LW38OFKiHeyt8iIkVAnu5wh4eHW35+4IEHmDdvHp07d7asq1evHmFhYUyePJnu3bvbPEjJGY18wsrdRB6MJdCUyI75/S3b5o2dx//+dmJwiwAGN68EQPkAD8r4auoQEZHiztE5/OjRo/z444+sWrXqhm3d3Nxwc3OzeQyOdnkOH7Dja15e9w4Av4XV4ZH7p5LqeqnLeIuIIMKDPCmtbuQiIkWC1YOm7dmzh0qVKl2xvlKlSvz99982CUpyuzgaeeTBWLzTTbmK7Q97j6JJ/3tpAqRnZlPGz53y/h4qtEVE5AqOyOGLFy8mJCSELl262GX/BdnppDQSTGZOnEvlkeaV6Gg6zkOz3rFsf2/8m6SeSLUst6wazPQedfUYmIhIEWJ1wV2zZk2mTZvGokWLcHfPufqanp7OtGnTqFmzps0DLO6iE1JJTM0g8mAs7hlpvLdqmmXbS20f5YOK7VkEDFm6DYB1o1up2BYRkavK7xyenZ3N4sWLGThwIM7OxWtilGNxKUxavYfIqDgA6sUcYPlnL1i2txy9jG7VyjGqR2mOx6fi7+FCeJDGXBERKWqszn7vvPMOXbt2JSwsjPr16wPw559/4uTkxNdff23zAIuzo3EpPLd6D/0bh+OekcailS/R7Nhuzrt6MLbzaNZWbwbk3NmGnCvjIT5FryueiIjYRn7n8B9//JFjx44xePBgm++7IItOSM1VbD+w+wde/W4eAP9E1Gftax9w/NcYFqyPolXVUlQv7UOwt6sumIuIFEFWF9x33nknhw8f5uOPP+aff/7BMAx69+5Nv3798PLyskeMxdLJcyZOnEulf+Nwwj3gnzfuByDZ1YOBD7zEjvKX7kS4OZegVdVgZvWqp2QtIiLXlN85/O6778YwDJvvtyCLTkjlSGyKpdjuu+t7Zq5dAMA/weH0uncS86qVg19jAAjycqVKiLfD4hUREfu6qf5dnp6ePPbYY7aORS44EW9i4qrdREbF4Z6Rxv+tfNmy7bF+09hRurpluWXVYCJKeTO/b0MV2yIickPK4faTaDIz4fPd9G1cAYA6p6IsxTbAww++RIqbp6VnWquqwQR7K3eLiBRleZoW7L8++ugjWrRoQWhoKEePHgVgzpw5fPHFFzYNrjg6ec7EhAvFtoc5jfdXTqPF0T9JdvXgxQnvcFvfS4POtKoazOxe9QgP9lKxLSIieaIcbj+xyWYio2Jxcy5B7VNRfLziecu2O4cv5YxPEJDTM62leqaJiBQLVhfcb7/9NmPGjKFTp06cO3eOrKwsAAICApg7d66t4ytWohNSSTBlsDkqDr/U8+ybcz8tj+4ixcWdQQ9MZTHl6Vi7NAv738Z3T7dkft+GlPX3cHTYIiJSSCiH20+iyUx6ZhYL+99GxC9r+ezTSfinJbM9tAZ1Rn1qKbZbRgRR1s+d1x6orxwuIlIMWF1wz58/n/fff59JkyblGnH0jjvuYM+ePTYNrjg5FpfChM//5Gi8Cd+0ZP6c19eybUyXMWwrXxuA4/GpLPvtKH4eLroqLiIiVlEOt48T8Sb+ik7iSJyJSl+uIPzxgXimpnCoUi0GPvgSyW45I4+3jAjmybZVCfR01TzbIiLFhNXPcB8+fJiGDRtesd7NzY2UlBSbBFXcnDxn4nxaJsPbVCXAKZPdb/axbJvd6mHLaOQAfh4uTO9Rl1BdFRcRESsph9vexRlFNkfFUfv0Ib5ZMtqy7a8FS1hSqwpnzqfj7+FCqL87nq7OhKjYFhEpNqy+w12pUiV27dp1xfrvvvuOWrVq2SKmYuVYXArjV+6my/xNDHr7F9wevN+ybXarh1nY9EHLcsuqwVQM8iQ8SKPBi4iI9ZTDbSs6IZXnLxTbtU7/y8ef5DyzHe/hy1Oz1nDA2ZfE1Az+99tRSpRwwt25pIptEZFixuo73OPGjePJJ58kLS0NwzD4/fffWb58OTNnzuT//u//7BFjkXU6KY2JFxK1W6aZ91ZNo9LhHWR6eDL7iVm851LJ0rZFRBAze9SlXICnAyMWEZHCTDncdk7Em0hMzSAyKo6ee3/ijW/mALCzbHUe7v0S5+OdWRTmj6+7CzO618XfU4+CiYgUR1YX3I888giZmZmMHz8ek8lEv379KFeuHG+++SZ9+vS58Q7E4lyK2VJs73+9JwAmFzcef2AK9Tp24Nu6ZTkSm0J4oCf+ni4qtkVE5JYoh9vG8bgUjp9LxcnJiR5711uKbSCn2HbL6YmWnplNoJcr4cHqmSYiUlw5GYZh3OybY2Njyc7OJiQkxJYx2VRSUhJ+fn4kJibi6+vr6HAsTielEXs+neMx8TQaM5SgyPUAPHL/FH6u0giA5Y82YeHPUcy6v56e2RYRKQQKas65GuXwm3P5M9srmnjSuEdby7bmj3/ASb9Ln+eyoY2pHeqrO9siIgWcPfON1c9wt23bloSEBACCg4MtiTopKYm2bdte550COdOGHI5NZuynu+j92g/49epGUOR60l3d2L5kJb/VbGJp6+vuzPQedVRsi4iITSiH35rTSWmWZ7arnz1C3UG9LNv+W2y3iAiiQqCnim0RkWLO6i7lGzZswGw2X7E+LS2NyMhImwRVVEUnpLJx/1m+3hPNn38dZ+/cSwOiDeo5hRIZoQxuEcCC9VG0iAjC192ZMA2QJiIiNqIcfvMSTWbiU8xERsVx398bmffVqznr69Rn7KOvcjL60ufasmow07vXoXygHgUTESnu8lxw79692/Lz33//zalTpyzLWVlZfP/995QrV86qg//yyy+8+uqrbN++nZiYGFavXk337t2v2nbYsGG89957zJkzh1GjRll1nILgdFIaR2JTqF3Ol+mf/Jar2H6l9SB+Da8HUXEMbl6JFhFBTL2vDr4eLg6MWEREigp75PDi5ES8iYmrdjO8TVXaH/zNUmwnuHvTsdPzPFCjAn06+OPp6oyvuzMBXq7qnSYiIoAVBXeDBg1wcnLCycnpqt3OPDw8mD9/vlUHT0lJoX79+jzyyCP06tXrmu3WrFnDb7/9RmhoqFX7LyhiElLZsP8MIb7ulDCbcxXb85v25p0ml6YC83F3YUTbqvi4llQ3NBERsQl75PDi4uQ5ExNW7WZzVByTK2Xz2reXBki7d+BcTpfwYMH6KCDnmW0/DxcV2yIiYpHngvvw4cMYhkHlypX5/fffKVWqlGWbq6srISEhlCxZ0qqDd+rUiU6dOl23zcmTJxkxYgRr166lS5cuN9xneno66enpluWkpCSrYrK1RJOZo/Emvt4Twx//nGLhmhmWbYcfHcnbZTqBOcuyzsfdmVA/dxXbIiJiM/bI4cXB6aQ0EkwZ9G8czsiQdCr37oZzWjJ/h1Ti0Z6Tr3hmOyzAQ93IRUQklzwX3OHh4QBkZ2fbLZj/ys7OZsCAAYwbN47atWvn6T0zZ87kxRdftHNkeXPxea+31h9kx98nWfjlLNof+oM0Z1eG9HoB7mzH4AoBlivjLSKCCPRyVbEtIiI25YgcXtidPGfiaJyJhNQMwn76hrqjHwUgvV4D5g6excmYDEvblhHBTOtRR+OuiIjIFaweNG3mzJmULl2awYMH51r/wQcfcPbsWSZMmGCz4GbNmoWzszMjR47M83smTpzImDFjLMtJSUmEhYXZLKa8ik5IZcLK3QxqVpGt+0/x/dJRVIk/QXpJF4b2nMzmig0sz2wDtIwIYnqPupT2dc/3WEVEpHjIzxxemB278Mz25qg4Oh7YwrurL/VOe/GpNxhxT0OecoLktCz8PV0I9HJV/hYRkauyelqwd999lxo1alyxvnbt2rzzzjs2CQpg+/btvPnmmyxZsgQnJ6c8v8/NzQ1fX99cr/yWaDIzYeVuIg/GYk5N460vZlEl/gQAs1oPYlOlhpa2Pm7OfD+qJa892IAKujIuIiJ2lF85vDA7ec7EpAvFdkTsMeZ/Mduybcz0TwmsEMrZ8+l0nb+ZhRuiCPVzV7EtIiLXZPUd7lOnTlG2bNkr1pcqVYqYmBibBAUQGRnJmTNnqFChgmVdVlYWzzzzDHPnzuXIkSM2O5YtnU5KIz7FTN87KzCkYQhN72+H2+FDOXe2e00mstJtudr7e7pSrYyPg6IVEZHiJL9yeGGVaDJzNM5EZFQcVWKPs/yT53DNzuSEbyke6j2NI0meLArzJz0zmxYRQczsUVePgYmIyHVZXXCHhYWxefNmKlWqlGv95s2bbTqK+IABA2jfvn2udR07dmTAgAE88sgjNjuOLR2LS2Hi6j1sjorDw5zGvjmXRh9/svcUIsMa5GrfsmowpX3d8jlKEREprvIrhxdGiSYzMYlpODk55epG/ndIJfr1mU6CR06PufTMbMIDPZnVqx7lAjRAmoiIXJ/VBffQoUMZNWoUGRkZlqlFfvrpJ8aPH88zzzxj1b6Sk5OJioqyLB8+fJhdu3YRGBhIhQoVCAoKytXexcWFMmXKUL16dWvDtrvTSWmWYts9I3ex/W2HvrQd+RA/rt5rWdeqajCzetXTlXEREck3tszhRcnFebYjo+JYcad7rme2+/eeZim2Afw9XAj2cVM3chERyROrC+7x48cTHx/P8OHDMZvNALi7uzNhwgQmTpxo1b62bdtGmzZtLMsXBzsbOHAgS5YssTY0hzqXYmZzVBzOWZlsemeIZf3/3dGNabf15/PSPiwaeAcAFQI9CfFxU7EtIiL5ypY5vKg4ce5SsV0l7jh1hk62bGs79B3OefpZlltEBBEe5KliW0RE8szJMAzjZt6YnJzMvn378PDwoGrVqri5Fcyu0UlJSfj5+ZGYmGiXAdROJ6VxzmQm0ZRB/7c3Mf/L2XQ6sAWAD26/j5faPwbAwv638cnvx5jVqx5l/T1sHoeIiDievXOOrSiH5zgWb+JEvIl+//cbleNO8MnyiYSknON89VqMf+xVvjtz6StSy4hgpvesSwXNsy0iUuTYM99YfYf7Im9vbxo1amTLWAqdY3EpTFq9h8ioOBb3rs2yT57jzhN/k17Smcd6TmZj5dstbSsFezG/b0Pd1RYREYdTDs8ZjXziqt30bxxO26jf+WDlSwDsK1WRIfe+QM86VVgU5o+nqzOGYRAe5KlntkVExGp5Krh79uzJkiVL8PX1pWfPntdtu2rVKpsEVtBd/sy2c1YmYcMHE3HibwCG9Xg+V7HdIiIIb9eSKrZFRCTfKYdf6eJo5Juj4hjlHW8ptgH695lOvLM3C9bnjDHz/dMtKevnrhwuIiI3JU8Ft5+fn2UubD8/vxu0Lh4uf2Z77levEbF/EwAruw5lQ5U7LO1aRAQx9b46+Hq4OCpUEREpxpTDrxSbbCYhNYOK8SepMeLSM9vthywk/rJntltWDVaxLSIit+Smn+EuLOzVH//3w/EMeGsj+1/PuVtgLuHM0w88T5XBfWgY5o+3mzOebiXxcnHGy7UkpfXctohIkVdYnuEuLGz9eSaazMQmm4lLMeN/4ghle3TCJ+4MyVVrMGnIDL44d6mwbhkRzMyedSmvZ7ZFRIq8AvkMd3HnR6al2AZ4vMdzrK94B1zogrZo4B0s+DmK1x6or9FMRUREHCw6IZUJK3cTeTCW1v9uZ+lnUwBIjqhOj54v0rFhLRaF+ZOemY2/hwsVgjwpr2e2RUTkFuWp4G7YsKGlO9qN7Nix45YCKqguXhVPSsvAzymL6pVLW7Ytq9+R9RF3WpabRwRx5nw6s3vVU7EtIiIOpRyeM+7KkdgU+t5ZgeHloemsKZZt4594g451qlie2W4REcSMnvVUbIuIiE3kqeDu3r275ee0tDQWLlxIrVq1aNq0KQBbt27lr7/+Yvjw4XYJ0tEuvypeMjuLxZ9NpfKFbRtbd+O5Jo9a2raMCOal7rUJ9HTVM18iIuJwyuGpTPj8TyKj4qhwLoZPll+ab7zbYwv584zBV7VLU6usL/4eLhqNXEREbCpPBfeUKZeuBA8dOpSRI0fy8ssvX9Hm+PHjto2uAEg0mXMV2298/QatjuwEYF2b+6m96kO+T80gKS0TX3dnArxcdVdbREQKDOXw3URGxVH97BEWfzaV0POxHAiqwJzn3qZlnSr8uT6KVHM21Uv7EOyti+UiImJbVj/D/dlnn7Ft27Yr1j/00EPccccdfPDBBzYJrKCITTYTeTAWgE//N4Hbo//BXMKZJ7s/y7qqTfjJnEWNshoYR0RECr7imsMrnIth7QcjADgYFEa/vtOJPWOwKMwfgCAvV6qEeDswUhERKapKWPsGDw8PNm3adMX6TZs24e5e9O7sJqVlAOBhTuP26H8ALMU2wPkL20VERAq64prDmxzbY1k38MEXifUKACA9M5tWVYMJ9tZdbRERsQ+r73CPGjWKJ554gu3bt9OkSU7RuXXrVj744ANeeOEFmwfoaL7uOfNnp7q607/3NFJcPdgVWt2y3cdd82uLiEjhUFxz+Je1WpHm4saW8HqWYhvA38OFWb3qqRu5iIjYjdUF97PPPkvlypV58803WbZsGQA1a9ZkyZIlPPjggzYP0NGCvV1pVTWYXw7Gsrlig1zbdFVcREQKk+Kcw7+s1TrXtpZVg6kS4q1xV0RExK6cDMMwHB2EPdliEvPohFSeXbmbXy48yw05xfasXvUo6+9hq1BFRKSQs0XOkUuUw0VEJD/YM39bfYcbICEhgc8//5x///2XsWPHEhgYyI4dOyhdujTlypWzaYAFQai/B/P7NiQ22cz5tAx83F00kqmIiBRKyuHK4SIikn+sLrh3795N+/bt8fPz48iRIwwdOpTAwEBWr17N0aNH+fDDD+0Rp8P5aV5tEREp5JTDRURE8pfVo5SPGTOGQYMGcfDgwVwjmnbq1IlffvnFpsGJiIiI7SiHi4iI5C+rC+4//viDYcOGXbG+XLlynDp1yiZBiYiIiO0ph4uIiOQvqwtud3d3kpKSrli/f/9+SpUqZZOgRERExPaUw0VERPKX1QV3t27deOmll8jIyADAycmJY8eO8eyzz9KrVy+bBygiIiK2oRwuIiKSv6wuuF977TXOnj1LSEgIqamptG7dmoiICHx8fJg+fbo9YhQREREbUA4XERHJX1aPUu7r68umTZtYv349O3bsIDs7m9tuu4327dvbIz4RERGxEeVwERGR/GVVwZ2ZmYm7uzu7du2ibdu2tG3b1l5xiYiIiA0ph4uIiOQ/q7qUOzs7Ex4eTlZWlr3iERERETtQDhcREcl/Vj/D/fzzzzNx4kTi4+PtEY+IiIjYiXK4iIhI/rL6Ge558+YRFRVFaGgo4eHheHl55dq+Y8cOmwUnIiIitqMcLiIikr+sLri7deuGk5OTPWIRERERO1IOFxERyV9OhmEYjg7CnpKSkvDz8yMxMRFfX19HhyMiIkWYco5t6fMUEZH8YM98k+c73CaTiXHjxrFmzRoyMjJo37498+bNIzg42KYB2drF6wlJSUkOjkRERIq6i7mmoF3LVg4XERG5Nnvm7zwX3FOmTGHJkiX0798fd3d3li9fzhNPPMFnn31m86Bs6fz58wCEhYU5OBIRESkuzp8/j5+fn6PDsFAOFxERuTF75O88dymvUqUK06dPp0+fPgD8/vvvNG/enLS0NEqWLGnToGwpOzub6OhofHx8CsRza0lJSYSFhXH8+PFi0z2uuJ1zcTtf0DnrnIummzlfwzA4f/48oaGhlChh9UQgdqMcXnAVt/9Xt0KfVd7ps8o7fVZ5V5Q/K3vm7zzf4T5+/DgtW7a0LN955504OzsTHR1doK88lyhRgvLlyzs6jCv4+voWuX+oN1Lczrm4nS/onIuL4nbO1p5vQbqzfZFyeMFX3P5f3Qp9Vnmnzyrv9FnlXVH9rOyVv/NcvmdlZeHq6pprnbOzM5mZmTYPSkRERGxHOVxERMQx8nyH2zAMBg0ahJubm2VdWloajz/+eK55PFetWmXbCEVEROSWKIeLiIg4Rp4L7oEDB16x7qGHHrJpMMWBm5sbU6ZMyfWlp6grbudc3M4XdM7FRXE756J0vsrhBVdR+ndmb/qs8k6fVd7ps8o7fVY3p8jPwy0iIiIiIiLiCAVnCFURERERERGRIkQFt4iIiIiIiIgdqOAWERERERERsQMV3CIiIiIiIiJ2oIJbRERERERExA5UcNvJL7/8QteuXQkNDcXJyYk1a9Zcs+2wYcNwcnJi7ty5+RafreXlfPft28d9992Hn58fPj4+NGnShGPHjuV/sDZyo3NOTk5mxIgRlC9fHg8PD2rWrMnbb7/tmGBtYObMmTRq1AgfHx9CQkLo3r07+/fvz9XGMAymTp1KaGgoHh4e3HXXXfz1118OivjW3eicMzIymDBhAnXr1sXLy4vQ0FAefvhhoqOjHRj1rcnL7/lyhf3vV17Pt6j9/RLHq1ixIk5OTle8nnzySUeHVqBkZmby/PPPU6lSJTw8PKhcuTIvvfQS2dnZjg6tQDp//jyjRo0iPDwcDw8PmjVrxh9//OHosBzuRt/Zitr3l1txo89q1apVdOzYkeDgYJycnNi1a5dD4ixMVHDbSUpKCvXr12fBggXXbbdmzRp+++03QkND8yky+7jR+R46dIgWLVpQo0YNNmzYwJ9//snkyZNxd3fP50ht50bnPHr0aL7//ns+/vhj9u3bx+jRo3nqqaf44osv8jlS29i4cSNPPvkkW7duZd26dWRmZnL33XeTkpJiaTN79mzeeOMNFixYwB9//EGZMmXo0KED58+fd2DkN+9G52wymdixYweTJ09mx44drFq1igMHDnDfffc5OPKbl5ff80VF4e9XXs63KP79Esf7448/iImJsbzWrVsHwAMPPODgyAqWWbNm8c4777BgwQL27dvH7NmzefXVV5k/f76jQyuQhg4dyrp16/joo4/Ys2cPd999N+3bt+fkyZOODs2hbvSdrah9f7kVN/qsUlJSaN68Oa+88ko+R1aIGWJ3gLF69eor1p84ccIoV66csXfvXiM8PNyYM2dOvsdmD1c73969exsPPfSQYwLKB1c759q1axsvvfRSrnW33Xab8fzzz+djZPZz5swZAzA2btxoGIZhZGdnG2XKlDFeeeUVS5u0tDTDz8/PeOeddxwVpk3995yv5vfffzcA4+jRo/kYmf1c65yL6t+vq51vUf/7JQXD008/bVSpUsXIzs52dCgFSpcuXYzBgwfnWtezZ0/9n7wKk8lklCxZ0vj6669zra9fv74xadIkB0VV8Pz3O1tx+P5ys65VwxiGYRw+fNgAjJ07d+ZrTIWR7nA7SHZ2NgMGDGDcuHHUrl3b0eHYVXZ2Nt988w3VqlWjY8eOhISE0Lhx4+t2sy8KWrRowZdffsnJkycxDIOff/6ZAwcO0LFjR0eHZhOJiYkABAYGAnD48GFOnTrF3XffbWnj5uZG69at2bJli0NitLX/nvO12jg5OeHv759PUdnX1c65KP/9+u/5Fte/X5K/zGYzH3/8MYMHD8bJycnR4RQoLVq04KeffuLAgQMA/Pnnn2zatInOnTs7OLKCJzMzk6ysrCt633h4eLBp0yYHRVXwFYfvL+JYKrgdZNasWTg7OzNy5EhHh2J3Z86cITk5mVdeeYV77rmHH374gR49etCzZ082btzo6PDsZt68edSqVYvy5cvj6urKPffcw8KFC2nRooWjQ7tlhmEwZswYWrRoQZ06dQA4deoUAKVLl87VtnTp0pZthdnVzvm/0tLSePbZZ+nXrx++vr75HKHtXeuci+rfr6udb3H9+yX5a82aNSQkJDBo0CBHh1LgTJgwgb59+1KjRg1cXFxo2LAho0aNom/fvo4OrcDx8fGhadOmvPzyy0RHR5OVlcXHH3/Mb7/9RkxMjKPDK7CK+vcXcTxnRwdQHG3fvp0333yTHTt2FIsr2RcHNunWrRujR48GoEGDBmzZsoV33nmH1q1bOzI8u5k3bx5bt27lyy+/JDw8nF9++YXhw4dTtmxZ2rdv7+jwbsmIESPYvXv3Va+Y//fftGEYReLf+fXOGXIGUOvTpw/Z2dksXLgwn6Ozj6udc1H++3W18y2uf78kfy1atIhOnToV6vEQ7GXFihV8/PHHLFu2jNq1a7Nr1y5GjRpFaGgoAwcOdHR4Bc5HH33E4MGDKVeuHCVLluS2226jX79+7Nixw9GhFXhF9fuLOJ7ucDtAZGQkZ86coUKFCjg7O+Ps7MzRo0d55plnqFixoqPDs7ng4GCcnZ2pVatWrvU1a9YssqP8pqam8txzz/HGG2/QtWtX6tWrx4gRI+jduzevvfaao8O7JU899RRffvklP//8M+XLl7esL1OmDMAVV4PPnDlzxVXjwuZa53xRRkYGDz74IIcPH2bdunVF4u72tc65qP79utb5Fse/X5K/jh49yo8//sjQoUMdHUqBNG7cOJ599ln69OlD3bp1GTBgAKNHj2bmzJmODq1AqlKlChs3biQ5OZnjx4/z+++/k5GRQaVKlRwdWoFVlL+/SMGggtsBBgwYwO7du9m1a5flFRoayrhx41i7dq2jw7M5V1dXGjVqdMVUOwcOHCA8PNxBUdlXRkYGGRkZlCiR+79YyZIlC+1UJoZhMGLECFatWsX69euvSN6VKlWiTJkylpF2Iee5xI0bN9KsWbP8DtcmbnTOcKnYPnjwID/++CNBQUEOiNR2bnTORe3v143Otzj+/ZL8tXjxYkJCQujSpYujQymQTCZTkcql+cXLy4uyZcty7tw51q5dS7du3RwdUoFVFL+/SMGiLuV2kpycTFRUlGX58OHD7Nq1i8DAQCpUqHDFl3IXFxfKlClD9erV8ztUm7jR+Y4bN47evXvTqlUr2rRpw/fff89XX33Fhg0bHBf0LbrRObdu3Zpx48bh4eFBeHg4Gzdu5MMPP+SNN95wYNQ378knn2TZsmV88cUX+Pj4WK4E+/n54eHhgZOTE6NGjWLGjBlUrVqVqlWrMmPGDDw9PenXr5+Do785NzrnzMxM7r//fnbs2MHXX39NVlaWpU1gYCCurq6ODP+m3Oicg4KCitTfrxudL1Ak/35JwZCdnc3ixYsZOHAgzs76SnY1Xbt2Zfr06VSoUIHatWuzc+dO3njjDQYPHuzo0AqktWvXYhgG1atXJyoqinHjxlG9enUeeeQRR4fmUDf6zlbUvr/ciht9VvHx8Rw7dozo6GgAywXpMmXKWHoLyH84ZnD0ou/nn382gCteAwcOvGr7wj6tTl7Od9GiRUZERITh7u5u1K9f31izZo3jAraBG51zTEyMMWjQICM0NNRwd3c3qlevbrz++uuFdsqXq50rYCxevNjSJjs725gyZYpRpkwZw83NzWjVqpWxZ88exwV9i250zhenxLja6+eff3Zo7DcrL7/n/yrMf7/yer5F7e+XFAxr1641AGP//v2ODqXASkpKMp5++mmjQoUKhru7u1G5cmVj0qRJRnp6uqNDK5BWrFhhVK5c2XB1dTXKlCljPPnkk0ZCQoKjw3K4G31nK2rfX27FjT6rxYsXX3X7lClTHBp3QeZkGIZhk8pdRERERERERCz0DLeIiIiIiIiIHajgFhEREREREbEDFdwiIiIiIiIidqCCW0RERERERMQOVHCLiIiIiIiI2IEKbhERERERERE7UMEtIiIiIiIiYgcquEWKubvuuotRo0Y5NIZ//vmHJk2a4O7uToMGDRwai4iISGGg/C1SOKjgFrGSk5PTdV+DBg3Klzi6du1K+/btr7rt119/xcnJiR07duRLLLdqypQpeHl5sX//fn766Seb7nvJkiX4+/vnWrdv3z7Kly9Pz549SU9Pt+nxRESkYFL+tj175m8As9nMq6++ym233YaXlxd+fn7Ur1+f559/nujoaJsfT8QenB0dgEhhExMTY/l5xYoVvPDCC+zfv9+yzsPDI1f7jIwMXFxcbB7HkCFD6NmzJ0ePHiU8PDzXtg8++IAGDRpw22232fy49nDo0CG6dOlyxXlYw2w24+rqesN2f/zxB506daJbt2689957lCxZ8qaPKSIihYfyt+3ZM3+np6dz9913s3v3bl588UWaN2+On58fhw4dYs2aNcyfP5+ZM2feSvgi+UJ3uEWsVKZMGcvLz88PJycny3JaWhr+/v58+umn3HXXXbi7u/Pxxx8zderUK7pazZ07l4oVK+Zat3jxYmrWrIm7uzs1atRg4cKF14zj3nvvJSQkhCVLluRabzKZWLFiBUOGDCEuLo6+fftSvnx5PD09qVu3LsuXL7/u+Tk5ObFmzZpc6/z9/XMd5+TJk/Tu3ZuAgACCgoLo1q0bR44csWzfsGEDd955J15eXvj7+9O8eXOOHj16zeNt376dl156CScnJ6ZOnQrAnj17aNu2LR4eHgQFBfHYY4+RnJxsed+gQYPo3r07M2fOJDQ0lGrVql33vADWr19P27ZteeSRR1i0aJGKbRGRYkT5u3Dl7zlz5rBp0ybWr1/PyJEjuf3224mIiKBjx468/fbbzJgx47qfh0hBoYJbxA4mTJjAyJEj2bdvHx07dszTe95//30mTZrE9OnT2bdvHzNmzGDy5MksXbr0qu2dnZ15+OGHWbJkCYZhWNZ/9tlnmM1m+vfvT1paGrfffjtff/01e/fu5bHHHmPAgAH89ttvN31uJpOJNm3a4O3tzS+//MKmTZvw9vbmnnvuwWw2k5mZSffu3WndujW7d+/m119/5bHHHsPJyemq+4uJiaF27do888wzxMTEMHbsWEwmE/fccw8BAQH88ccffPbZZ/z444+MGDEi13t/+ukn9u3bx7p16/j666+vG/fq1avp0qULkyZN4tVXX73p8xcRkaJL+bvg5O/ly5fToUMHGjZseNXt14pLpMAxROSmLV682PDz87MsHz582ACMuXPn5mo3ZcoUo379+rnWzZkzxwgPD7csh4WFGcuWLcvV5uWXXzaaNm16zePv27fPAIz169db1rVq1cro27fvNd/TuXNn45lnnrEst27d2nj66acty4CxevXqXO/x8/MzFi9ebBiGYSxatMioXr26kZ2dbdmenp5ueHh4GGvXrjXi4uIMwNiwYcM1Y/iv+vXrG1OmTLEsv/fee0ZAQICRnJxsWffNN98YJUqUME6dOmUYhmEMHDjQKF26tJGenn7dfS9evNgoWbKkUbJkSWPy5Ml5jklERIou5e8cBTl/u7u7GyNHjsy1rnv37oaXl5fh5eV13c9XpCDRHW4RO7jjjjusan/27FmOHz/OkCFD8Pb2trymTZvGoUOHrvm+GjVq0KxZMz744AMg51mqyMhIBg8eDEBWVhbTp0+nXr16BAUF4e3tzQ8//MCxY8du+ty2b99OVFQUPj4+ljgDAwNJS0vj0KFDBAYGMmjQIDp27EjXrl158803cz03lxf79u2jfv36eHl5WdY1b96c7OzsXM/b1a1bN0/PbXt4eNChQwfef/999u3bZ1UsIiJSfCh/F6z8/d+72AsXLmTXrl0MHjwYk8lkVWwijqJB00Ts4PJEA1CiRIlc3cYgZzCWi7Kzs4GcbmmNGzfO1e5GzxkPGTKEESNG8NZbb7F48WLCw8Np164dAK+//jpz5sxh7ty51K1bFy8vL0aNGoXZbL7m/pycnG4Y6+23387//ve/K95bqlQpIOdZtpEjR/L999+zYsUKnn/+edatW0eTJk2uey4XGYZxza5il6//7+d8LSVLlmTNmjX06tWLNm3asH79emrVqpWn94qISPGh/F1w8nfVqlX5559/cq0rW7YsAIGBgXmKR6Qg0B1ukXxQqlQpTp06lSsR7tq1y/Jz6dKlKVeuHP/++y8RERG5XpUqVbruvh988EFKlizJsmXLWLp0KY888oglqUVGRtKtWzceeugh6tevT+XKlTl48OANY738ivbBgwdzXUW+7bbbOHjwICEhIVfE6ufnZ2nXsGFDJk6cyJYtW6hTpw7Lli3L02cFUKtWLXbt2kVKSopl3ebNmylRokSeBke7Gjc3N1atWsWdd95JmzZt2Lt3703tR0REig/lb8fl7759+7Ju3Tp27txp1ftEChoV3CL54K677uLs2bPMnj2bQ4cO8dZbb/Hdd9/lajN16lRmzpzJm2++yYEDB9izZw+LFy/mjTfeuO6+vb296d27N8899xzR0dG55hGNiIhg3bp1bNmyhX379jFs2DBOnTp13f21bduWBQsWsGPHDrZt28bjjz+ea1qU/v37ExwcTLdu3YiMjOTw4cNs3LiRp59+mhMnTnD48GEmTpzIr7/+ytGjR/nhhx84cOAANWvWzPPn1b9/f9zd3Rk4cCB79+7l559/5qmnnmLAgAGULl06z/v5L1dXV1auXEmzZs1o27Yte/bsuel9iYhI0af87bj8PXr0aJo2bUrbtm1588032bFjB4cPH2bt2rV89913mmlECg0V3CL5oGbNmixcuJC33nqL+vXr8/vvvzN27NhcbYYOHcr//d//sWTJEurWrUvr1q1ZsmTJDa+QQ063tHPnztG+fXsqVKhgWT958mRuu+02OnbsyF133UWZMmXo3r37dff1+uuvExYWRqtWrejXrx9jx47F09PTst3T05NffvmFChUq0LNnT2rWrMngwYNJTU3F19cXT09P/vnnH3r16kW1atV47LHHGDFiBMOGDcvz5+Xp6cnatWuJj4+nUaNG3H///bRr144FCxbkeR/X4uLiwqeffkqrVq1o27Ytu3fvvuV9iohI0aT87bj87e7uzk8//cSzzz7L4sWLadGiBTVr1mTUqFE0b978iinQRAoqJ+O/D3uIiIiIiIiIyC3THW4RERERERERO1DBLSIiIiIiImIHKrhFRERERERE7EAFt4iIiIiIiIgdqOAWERERERERsQMV3CIiIiIiIiJ2oIJbRERERERExA5UcIuIiIiIiIjYgQpuERERERERETtQwS0iIiIiIiJiByq4RUREREREROxABbeIiIiIiIiIHajgFhEREREREbEDFdwiIiIiIiIidqCCW0RERERERMQOVHCLiIiIiIiI2IEKbhERERERERE7UMEthYKTk1OeXhs2bHB0qHZVsWLFXOfr7e1N48aN+fDDD/Pl+EuWLMHJyYkjR45Y1t11113cddddVu9rxowZrFmzxmaxXXTkyBGcnJxYsmTJDdv+9NNP3HHHHXh5eeHk5GSXeP4b17VeU6dOtduxRUQcSTk8h3L4jRWWHF6iRAmCgoLo3Lkzv/76q92OK0WDs6MDEMmL//4xe/nll/n5559Zv359rvW1atXKz7Aconnz5rz22msAnDhxgtdee42BAweSkpLCE088ke/xLFy48KbeN2PGDO6//366d+9u24DyyDAMHnzwQapVq8aXX36Jl5cX1atXt/txn3rqKfr163fF+vLly9v92CIijqAcfolyuG04OodnZWXx119/8eKLL9KmTRt+/fVXGjZsaPfjS+GkglsKhSZNmuRaLlWqFCVKlLhi/X+ZTCY8PT3tGVq+8/f3z3Xe7du3Jzw8nDfeeOOayTorK4vMzEzc3NxsHk9h/YIUHR1NfHw8PXr0oF27djbZZ2pqKu7u7jg5OV2zTYUKFW7471ZEpChRDr9EOdw2CkIOb968OREREbRr146FCxfy/vvv2yQOKXrUpVyKjLvuuos6derwyy+/0KxZMzw9PRk8eDDANbvsVqxYkUGDBuVad+rUKYYNG0b58uVxdXWlUqVKvPjii2RmZl73+N27dyc8PJzs7OwrtjVu3JjbbrvNsvzZZ5/RuHFj/Pz88PT0pHLlypZYreXv70/16tU5evQocKnb0+zZs5k2bRqVKlXCzc2Nn3/+GYBt27Zx3333ERgYiLu7Ow0bNuTTTz+9Yr9bt26lefPmuLu7ExoaysSJE8nIyLii3dW6o6Wnp/PSSy9Rs2ZN3N3dCQoKok2bNmzZsgXI+X2kpKSwdOlSS/esy/eR199BdHQ0Dz74ID4+Pvj5+dG7d29OnTp1w89s6tSpljvKEyZMwMnJiYoVK1q2b9q0iXbt2uHj44OnpyfNmjXjm2++ybWPi13zfvjhBwYPHkypUqXw9PQkPT39hscXEZHclMOVwwtjDr9YfF/8/Ylcje5wS5ESExPDQw89xPjx45kxYwYlSlh3TenUqVPceeedlChRghdeeIEqVarw66+/Mm3aNI4cOcLixYuv+d7BgwfTrVs31q9fT/v27S3r//nnH37//XfmzZsH5HSt6927N71792bq1Km4u7tz9OjRK7rW5VVGRgZHjx6lVKlSudbPmzePatWq8dprr+Hr60vVqlX5+eefueeee2jcuDHvvPMOfn5+fPLJJ/Tu3RuTyWT54vL333/Trl07KlasyJIlS/D09GThwoUsW7bshvFkZmbSqVMnIiMjGTVqFG3btiUzM5OtW7dy7NgxmjVrxq+//krbtm1p06YNkydPBsDX1xfI++8gNTWV9u3bEx0dzcyZM6lWrRrffPMNvXv3vmGMQ4cOpX79+vTs2dPSPezinYONGzfSoUMH6tWrx6JFi3Bzc2PhwoV07dqV5cuXX7H/wYMH06VLFz766CNSUlJwcXG57rGzs7Ov+sXP2Vl/jkWkeFMOv0Q5/NocmcP/KyoqCuCK359ILoZIITRw4EDDy8sr17rWrVsbgPHTTz9d0R4wpkyZcsX68PBwY+DAgZblYcOGGd7e3sbRo0dztXvttdcMwPjrr7+uGVNGRoZRunRpo1+/frnWjx8/3nB1dTViY2Nz7SshIeFGp3nVeDt37mxkZGQYGRkZxuHDh42BAwcagDFu3DjDMAzj8OHDBmBUqVLFMJvNud5fo0YNo2HDhkZGRkau9ffee69RtmxZIysryzAMw+jdu7fh4eFhnDp1ytImMzPTqFGjhgEYhw8ftqxv3bq10bp1a8vyhx9+aADG+++/f91z8fLyyvXZX5TX38Hbb79tAMYXX3yRq92jjz5qAMbixYuve/yLn9Orr76aa32TJk2MkJAQ4/z585Z1mZmZRp06dYzy5csb2dnZhmEYxuLFiw3AePjhh697nP8e71qvyMjIPO1HRKSwUw5XDi+sOXzWrFlGRkaGkZaWZmzfvt1o1KiRARjffPNNnvYjxZO6lEuREhAQQNu2bW/6/V9//TVt2rQhNDSUzMxMy6tTp05AzpXTa3F2duahhx5i1apVJCYmAjnPXX300Ud069aNoKAgABo1agTAgw8+yKeffsrJkyetivHbb7/FxcUFFxcXKlWqxKeffspTTz3FtGnTcrW77777cl2pjYqK4p9//qF///4Auc6vc+fOxMTEsH//fgB+/vln2rVrR+nSpS3vL1myZJ6uPH/33Xe4u7vfdPe6vP4Ofv75Z3x8fLjvvvtyvf9qA5LlVUpKCr/99hv3338/3t7elvUlS5ZkwIABnDhxwvIZXdSrVy+rjvH000/zxx9/XPFq0KDBTcctIlIUKIdfohxuvfzI4RMmTMDFxQV3d3duv/12jh07xrvvvkvnzp1vOm4p+lRwS5FStmzZW3r/6dOn+eqrryzJ8OKrdu3aAMTGxl73/YMHDyYtLY1PPvkEgLVr1xITE8MjjzxiadOqVSvWrFlDZmYmDz/8MOXLl6dOnTosX748TzG2aNGCP/74g23btvH333+TkJDAvHnzcHV1zdXuv5/F6dOnARg7duwV5zd8+PBc5xcXF0eZMmWuOPbV1v3X2bNnCQ0Ntbor4OVx5uV3EBcXl+vLhDUxXsu5c+cwDOOq/45CQ0Mtx72ctf/mypcvzx133HHF6/IvByIixZFy+CXK4dbLjxx+8aL59u3bOXToEDExMTz22GM3HbMUD3poUIqUa40s6ebmdtWBMP77hzc4OJh69eoxffr0q+7n4h/sa6lVqxZ33nknixcvZtiwYSxevJjQ0FDuvvvuXO26detGt27dSE9PZ+vWrcycOZN+/fpRsWJFmjZtet1j+Pn5cccdd1y3DVz5WQQHBwMwceJEevbsedX3XJxSIygo6KoDl+RlMJNSpUqxadMmsrOzbyph5/V3EBQUxO+//35TMV5LQEAAJUqUICYm5opt0dHRlvgud73RTEVEJO+Uwy9RDrdefuTwixfNRayhgluKhYoVK7J79+5c69avX09ycnKudffeey/ffvstVapUISAg4KaO9cgjj/DEE0+wadMmvvrqK8aMGUPJkiWv2tbNzY3WrVvj7+/P2rVr2blz5w2T9c2qXr06VatW5c8//2TGjBnXbdumTRu+/PJLTp8+bbkCnZWVxYoVK254nE6dOrF8+XKWLFly3S5pbm5upKamXrE+r7+DNm3a8Omnn/Lll1/m6pKWl0FhrsXLy4vGjRuzatUqXnvtNTw8PICcgc4+/vhjypcvT7Vq1W56/yIiYj3lcOXwvFAOl4JKBbcUCwMGDGDy5Mm88MILtG7dmr///psFCxbg5+eXq91LL73EunXraNasGSNHjqR69eqkpaVx5MgRvv32W9555x3LVBTX0rdvX8aMGUPfvn1JT0+/YsqSF154gRMnTtCuXTvKly9PQkICb775Ji4uLrRu3drWp57Lu+++S6dOnejYsSODBg2iXLlyxMfHs2/fPnbs2MFnn30GwPPPP8+XX35J27ZteeGFF/D09OStt94iJSXlhsfo27cvixcv5vHHH2f//v20adOG7OxsfvvtN2rWrEmfPn0AqFu3Lhs2bOCrr76ibNmy+Pj4UL169Tz/Dh5++GHmzJnDww8/zPTp06latSrffvsta9euvaXPaObMmXTo0IE2bdowduxYXF1dWbhwIXv37mX58uW3fEf72LFjbN269Yr1pUqVokqVKre0bxGRokg5PIdy+I3ZO4eL3BRHj9omcjOuNcJp7dq1r9o+PT3dGD9+vBEWFmZ4eHgYrVu3Nnbt2nXFCKeGYRhnz541Ro4caVSqVMlwcXExAgMDjdtvv92YNGmSkZycnKf4+vXrZwBG8+bNr9j29ddfG506dTLKlStnuLq6GiEhIUbnzp3zNEp1eHi40aVLl+u2udbInRf9+eefxoMPPmiEhIQYLi4uRpkyZYy2bdsa77zzTq52mzdvNpo0aWK4ubkZZcqUMcaNG2e89957Nxzh1DAMIzU11XjhhReMqlWrGq6urkZQUJDRtm1bY8uWLZY2u3btMpo3b254enoaQK595PV3cOLECaNXr16Gt7e34ePjY/Tq1cvYsmXLLY1wahiGERkZabRt29bw8vIyPDw8jCZNmhhfffVVrjYXRzj9448/rnuc/x7vWq/+/fvnaT8iIoWdcvi1KYcX7Bx+rd+LyPU4GYZh5GeBLyIiIiIiIlIcaJRyERERERERETtQwS0iIiIiIiJiByq4RUREREREROxABbeIiIiIiIiIHajgFhEREREREbGDmyq4f/rpJ+69916qVKlCREQE9957Lz/++KOtYxMRESm2lGtFREQKP6unBVuwYAGjR4/m/vvvp2nTpgBs3bqVzz//nDfeeIMRI0bYJdCblZ2dTXR0ND4+PprsXkRE7MowDM6fP09oaCglStx8J7LClmvtRTlcRETyg63y97V2bpXQ0FBj/vz5V6xfsGCBUbZs2VucFtz2jh8/bgB66aWXXnrplW+v48eP31LuKmy51l6Uw/XSSy+99MrP163m76ux+g63j48PO3fuJCIiItf6gwcP0rBhQ5KTk63Znd0lJibi7+/P8ePH8fX1dXQ4IiJShCUlJREWFkZCQgJ+fn43vZ/ClmvtRTlcRETyg63y99U4W/uG++67j9WrVzNu3Lhc67/44gu6du1qs8Bs5WIXNF9fXyVrERHJF7fa/bmw5Vp7UQ4XEZH8ZI/Hl6zuoF6zZk2mT59Oly5dmDZtGtOmTePee+9l+vTp1K5dm3nz5lleIiIiYj1b59qFCxdSqVIl3N3duf3224mMjLxm202bNtG8eXOCgoLw8PCgRo0azJkzJ1ebv/76i169elGxYkWcnJyYO3fuFfuZOnUqTk5OuV5lypSx6nMQEREp7Ky+w71o0SICAgL4+++/+fvvvy3r/f39WbRokWXZycmJkSNH2iZKERGRYsSWuXbFihWMGjWKhQsX0rx5c9599106derE33//TYUKFa5o7+XlxYgRI6hXrx5eXl5s2rSJYcOG4eXlxWOPPQaAyWSicuXKPPDAA4wePfqax65du3aukdVLliyZ589ARESkKLD6Ge7CJikpCT8/PxITE9UdTURE7Kog5pzGjRtz22238fbbb1vW1axZk+7duzNz5sw87aNnz554eXnx0UcfXbGtYsWKjBo1ilGjRuVaP3XqVNasWcOuXbtuOvaC+HmKiEjRY898Y+Mxz0VERKSgMJvNbN++nbvvvjvX+rvvvpstW7bkaR87d+5ky5YttG7d2urjHzx4kNDQUCpVqkSfPn34999/r9s+PT2dpKSkXC8REZHCzOou5WPGjLnqeicnJ9zd3YmIiKBbt24EBgbecnAiIiLFka1ybWxsLFlZWZQuXTrX+tKlS3Pq1Knrvrd8+fKcPXuWzMxMpk6dytChQ606h8aNG/Phhx9SrVo1Tp8+zbRp02jWrBl//fUXQUFBV33PzJkzefHFF606joiISEFmdcG9c+dOduzYQVZWFtWrV8cwDA4ePEjJkiWpUaMGCxcu5JlnnmHTpk3UqlXLHjGLiIgUabbOtf8dddUwjBuOxBoZGUlycjJbt27l2WefJSIigr59++b5HDp16mT5uW7dujRt2pQqVaqwdOnSa15QmDhxYq5tF6dpERERKays7lLerVs32rdvT3R0NNu3b2fHjh2cPHmSDh060LdvX06ePEmrVq2uO4iKiIiIXJutcm1wcDAlS5a84m72mTNnrrjr/V+VKlWibt26PProo4wePZqpU6fe0jl5eXlRt25dDh48eM02bm5ulinANBWYiIgUBVYX3K+++iovv/xyriTo6+vL1KlTmT17Np6enrzwwgts377dpoGKiIgUF7bKta6urtx+++2sW7cu1/p169bRrFmzPMdjGAbp6enWncR/pKens2/fPsqWLXtL+xERESlMrO5SnpiYyJkzZ67ownb27FnL4Cb+/v6YzWbbRCgiIlLM2DLXjhkzhgEDBnDHHXfQtGlT3nvvPY4dO8bjjz8O5HTjPnnyJB9++CEAb731FhUqVKBGjRpAzrzcr732Gk899ZRln2az2TJdmdls5uTJk+zatQtvb28iIiIAGDt2LF27dqVChQqcOXOGadOmkZSUxMCBA2/x0xERESk8rC64u3XrxuDBg3n99ddp1KgRTk5O/P7774wdO5bu3bsD8Pvvv1OtWjVbxyoiIlIs2DLX9u7dm7i4OF566SViYmKoU6cO3377LeHh4QDExMRw7NgxS/vs7GwmTpzI4cOHcXZ2pkqVKrzyyisMGzbM0iY6OpqGDRtall977TVee+01WrduzYYNGwA4ceIEffv2JTY2llKlStGkSRO2bt1qOa6IiEhxYPU83MnJyYwePZoPP/yQzMxMAJydnRk4cCBz5szBy8vLMudmgwYNbB2v1TSHp4iI5Bdb5ZzClmvtRTlcRETygz3zjdUF90XJycn8+++/GIZBlSpV8Pb2zrX9xIkThIaGUqKEY6f6VrIWEZH8YuucU1hyrb0oh4uISH6wZ76xukv5Rd7e3tSrV++a22vVqsWuXbuoXLnyzR5CRETErhJNZmKTzSSlZeDr4UKwlyt+nq6ODstCuVZERORKBT1/X85ul8TzcuP87bffpl69epapP5o2bcp3332Xax9Tp04lNDQUDw8P7rrrLv766y97hSwiIsVIdEIqI5bvpN0bG+mxcAvtXt/IU8t3Ep2Q6ujQ8uwmO6mJiIgUWoUtfzu0D1r58uV55ZVX2LZtG9u2baNt27Z069bNUlTPnj2bN954gwULFvDHH39QpkwZOnTowPnz5x0ZtoiIFHKJJjMTVu4m8sBZWhzeScj5OAB+ORjLsyt3k2jSTBsiIiIFjSV/H4zFNy2Zuw79gXNWZoHO3w4tuLt27Urnzp2pVq0a1apVY/r06Xh7e7N161YMw2Du3LlMmjSJnj17UqdOHZYuXYrJZGLZsmXX3Gd6ejpJSUm5XiIiIpeLTTYTeeAsR2Z35eNPJzPr+3mWbb8cjCU2ueAlbBERkeIuNtlM5MFYqp89wu43+7Dk8xe558AWoODm7wIzykpWVhaffPIJKSkpNG3alMOHD3Pq1CnuvvtuSxs3Nzdat27Nli1brrmfmTNn4ufnZ3mFhYXlR/giIlKIJKWambF2gWX5lHdQru3n0zLyOyQRERG5gaS0DKqdPcLaD0ZY1u0MrWH5uSDmb7sV3E5OTnlqt2fPHry9vXFzc+Pxxx9n9erV1KpVi1OnTgFQunTpXO1Lly5t2XY1EydOJDEx0fI6fvz4zZ+EiIgUPYZBpVem0O/PtQBsCq/PxE4jczXxcXdxRGRWy2uuFRERKQr8kxP44bJie9D9UznpF2JZLoj5+6ZHKb+RvA7kUr16dXbt2kVCQgIrV65k4MCBbNy40bL9v18mDMO47hcMNzc33Nzcbi5oEREp2gwDWrXCf9MmAJ7r+CTLGnTK1aRV1WCCvQvmSKf/pUHTRESkOAks5c8/1RpS48BOBt0/hQ1V7rBsK6j52+o73IMHD77qoGUpKSkMHjzYsvz3338THh5+w/25uroSERHBHXfcwcyZM6lfvz5vvvkmZcqUAbjibvaZM2euuOstIiJyQ4YBo0bBhWI74fU3OfHAgFxNWlUNZlaveg6fWsTWuVZERKRQi48Hsxm/UgH4rf+BZ2auZEOVRpbNBSV/X42TYeXl8ZIlSxITE0NISEiu9bGxsZQpU4bMzMxbCqhdu3aEhYWxePFiQkNDGT16NOPHjwfAbDYTEhLCrFmzGDZsWJ72Z89JzEVEpJAwDJgwAV59NWe5Uyf49lvLPJ7n0zLwcXch2PvW5vG0Vc6xd64tLJTDRUSEffugVi3o3h1WrABX1wKbv68mz13Kk5KSMAwDwzA4f/487u7ulm1ZWVl8++23V3wxuJHnnnuOTp06ERYWxvnz5/nkk0/YsGED33//PU5OTowaNYoZM2ZQtWpVqlatyowZM/D09KRfv35WHUdERIoxw4CGDeHPP3OWFy6EJ54AwM/z1hK0rdkj14qIiBRa//yTU2wDrFkD0dFQsWKBy9/Xk+eC29/fHycnJ5ycnKhWrdoV252cnHjxxRetOvjp06cZMGAAMTEx+Pn5Ua9ePb7//ns6dOgAwPjx40lNTWX48OGcO3eOxo0b88MPP+Dj42PVcUREpJgyDChx2dNTb71lKbYLInvkWhERkULpn3+gZs1Ly198ARUrOiycm5XnLuUbN27EMAzatm3LypUrCQwMtGxzdXUlPDyc0NBQuwV6s9QdTUSkeLnYzSwp1UzDipdN91WrFvz1l12Pfas5p7DmWntRDhcRKab274cal6b7Ys0a6NbNbocrEF3KW7duDcDhw4epUKGCpiIREZEC50S8iYmrdhN5MJaxkR/R8ML6jGrVcbFzsW0LyrUiIlLsHTiQu9hevdquxba9WT1K+fr16/n888+vWP/ZZ5+xdOlSmwQlIiJirZPnTEy4UGw/E/kxI379FIDVte5iyPilJJrMDo4w75RrRUSkWDKboXr1S8urVuUMllaIWV1wv/LKKwQHB1+xPiQkhBkzZtgkKBERkbxKNJk5ePo88SYzmw/GsvntwTz16woAprZ7jNFdx/LLwVhikwtPwa1cKyIixZKra854KwCffw49ejg2HhuwuuA+evQolSpVumJ9eHg4x44ds0lQIiIieRGTkMq3e05xLN5EcmomPyetp9z5swC83GYIS+64z9L2fFqGo8K0mnKtiIgUK/HxOdN/AQwfDgkJ0KuXQ0OyFasL7pCQEHbv3n3F+j///JOgoKCrvENERMT2Ek1mjsaZ+HpPNEOW/MHvA5+i0jtzADjxwEMsb3F/rvY+7i6OCPOmKNeKiEixcegQBAVBnTqwZ0/OOj8/x8ZkQ3keNO2iPn36MHLkSHx8fGjVqhWQM6rq008/TZ8+fWweoIiIyNXEp5iZ//NBNkfFsX1+f4JSkwB4ue1Q/rl7CIMrBLBgfRQALasGE+xdOObrBOVaEREpJv79FyIicn7Ozs49lWcRYXXBPW3aNI4ePUq7du1wds55e3Z2Ng8//LCeKxMREbtLNJk5Z8rAZM5ic1QcR2bda9k2u9XDLGrUHaLiGNw8p0t2i4ggZvaoi59n4Sm4lWtFRKTIO3wYqlS5tLxiBdSu7bh47CTP83D/14EDB/jzzz/x8PCgbt26hIeH2zo2m9AcniIiRUdMQipH4028tf4gT7WrRp3qoXhmpAMQ7RNMs+FLLG0/HdaEzCyD8CBPygV45kt8ts45hSXX2otyuIhIEXXkCFw+Vsknn0Dv3g4Lp0DMw/1f1apVo1q1araMRURE5JoSTWaOxpvIyjaIjIrj9f2vW4rtU96BuYptAF8PF8r6uheqO9v/pVwrIiJFzn+L7eXLHVps25vVBffgwYOvu/2DDz646WBERESuJcGUwfz1B+nfOJynNi8nZNP/AHincS9eueuRXG1bRgQT4OlaaItt5VoRESmyHnvs0s//+x8U8bFJrC64z507l2s5IyODvXv3kpCQQNu2bW0WmIiIyEWJJjOmjCz6Nw6n/T130jn6BABnJ7/M5grtISrO0rZlRBDTe9ShtK+7o8K9Zcq1IiJSZL39NnTqBNOmwYMPOjoau7O64F69evUV67Kzsxk+fDiVK1e2SVAiIiIXRSekMmHlbiIPxjJiyyeWYvvYw4/R36sZU5tXYnynGiSnZeHr7kyAlyuh/h4OjvrWKNeKiEiRkpAAa9bAoEE5A6Xt3w9OTg4OKn/c9KBp/7V//37uuusuYmJibLE7m9GAKyIihdfppDTGfrqLyKg4hv/6KeN/+RCAeU178/vgUTT4z9Rfs3vVo6wDi21755yCmmvtRTlcRKQIOHYMLg76+frrMGaMY+O5igI5aNp/HTp0iMzMTFvtTkREirnohFSOxKYQGRXHn3N745eeAsCs1gN5u8kDEBXHhE41qFXWF38PF6qEeBfqbuR5oVwrIiKFyvHjl4ptgKZNHReLg1hdcI/5zxUJwzCIiYnhm2++YeDAgTYLTEREiq9Ek5kJK3fT984K7J7bG98LxfZnddrnFNsXHI9P5ZPfjzGrV70iVWwr14qISKF34gRUqHBpefFiFdx5sXPnzlzLJUqUoFSpUrz++us3HFVVREQkL2KTzUQejOWtNx6zFNvJrh6M6zIqV7vKwV7M79uw0I5Gfi3KtSIiUqidOAFhYZeWP/gg5/ntYsjqgvvnn3+2RxwiIiIWSWkZPL71c3z/3g1Aios7dUZ/lqtNq6rBlPUr3PNsX4tyrYiIFFrx8bmL7UWL4JFHrt2+iLPZM9wiIiK3ItFkJjbZTFJaBuXen8+zG5cAcOjJsbzQoFfuqb+qBjOrV70iWWyLiIgUau++e+nn99+HYt4zK08Fd8OGDXHK47DtO3bsuKWARESk+Ll86q+PPnmekKO7AHi9RX8WBbZjcIUABjevRHpmdpEdIE25VkREioTx4yEmBrp0gY4dHR2Nw+Wp4O7evbvl57S0NBYuXEitWrVoeuGh961bt/LXX38xfPhwuwQpIiJF18UB0iIPxvLob6toeaHYPnd7E3YOHIEpKs4y9VerC3e2i1qxDcq1IiJSiJ0+DVOmwMyZEBAA8+Y5OqICI08F95QpUyw/Dx06lJEjR/Lyyy9f0eb48eO2jU5ERIq8iwOkPfrbKiZt+ACAOc378X7bAQyuEMDzXWqRlpGFj7sLwd6uRbYbuXKtiIgUSjExEBqa8/OBA7B+vWPjKWCcDMMwrHmDn58f27Zto2rVqrnWHzx4kDvuuIPExESbBnir7DmJuYiI3Lqdx85RpnZVyibnPKM9t3lf5rbob9m+ZngzGlQIcFR4VrFVzilsudZelMNFRAq4U6egbNlLy8uWQd++jovnJtkz35Sw9g0eHh5s2rTpivWbNm3C3b3odfETERH7qtOsnqXYjgosn6vYBvBxd3FEWA6lXCsiIgXe6dO5i+2FCwtlsW1vVo9SPmrUKJ544gm2b99OkyZNgJznyj744ANeeOEFmwcoIiJF2LBhuJw8YVlsP/TtXJtbVQ0m2LtodiG/HuVaEREp0E6fhjJlLi2/9RY88YTj4inArC64n332WSpXrsybb77JsmXLAKhZsyZLlizhwQcftHmAIiJSdFw+9VfYh+8R/N57lm0Pv/9rrqm/WhXjqb+Ua0VEpMBKScldbC9YABrQ85qsfoa7sNHzXyIiBcPlU389vvVzyzzb58dOwGf2TBJTM4hNNnM+LaPQDpCmnGNb+jxFRAqgzZuhRYucn+fPhxEjHBuPDdgz31h9h/ui7du3s2/fPpycnKhVqxYNGza0ZVwiIlJEJJrMJKVm8NzqPURGxTFhwxKe+O1zAOY37c0f1bszPzUDP8/CV2Dbm3KtiIgUGIYBTk7QvDl89x34+cGFqSvl2qwuuM+cOUOfPn3YsGED/v7+GIZBYmIibdq04ZNPPqFUqVL2iFNERAqhUwmpnEvNIDvboG/jcCYfWU+1C8V2opsXr7d8CKLiiE02q9i+jHKtiIgUKGfPQuvWMGcOdOwI99zj6IgKDatHKX/qqadISkrir7/+Ij4+nnPnzrF3716SkpIYOXKkPWIUEZFCKNFkJt5kZto3f9Nl/ib+enIC1aZPAuDwoyNpOu6znCvlwPm0DEeGWuAo14qISIERGwshIbBvX06hnZLi6IgKFavvcH///ff8+OOP1KxZ07KuVq1avPXWW9x99902DU5ERAqvBFMGM7/dx+aoOH74v+FUizsGwMIm97O5UR8GhweyYH0UUDyn/roe5VoRESkQYmPh8l5Vr78OXl6Oi6cQsvoOd3Z2Ni4uV34xcnFxITs72yZBiYhI4ZdiziQyKo61iy4V2wCzWw1k86F4Gob5A8V36q/rUa4VERGHi4vLXWy/9hqMGeO4eAopqwvutm3b8vTTTxMdHW1Zd/LkSUaPHk27du1sGpyIiBReKeYshv6+iuqxl4rtiuO/snQjT8/MpmUxnvrrepRrRUTEoeLiIDj40vLs2fDMM46LpxCzuuBesGAB58+fp2LFilSpUoWIiAgqVarE+fPnmT9/vj1iFBGRQih8xVKe//kDy/LlxTZAeKAnrz1Qn7L+Ho4Ir0BTzdJ4DwAAwexJREFUrhURkfyWaDJz6Ewyuw5E5y62Z82CceMcF1ghZ/Uz3GFhYezYsYN169bxzz//YBgGtWrVon379vaIT0REColEk5nYZDNJaRlUfPUlQhbMBeC9Rj2Y0WZwrmK7RUQQ/p4ulPZ1d1C0BZtyrYiI5KfohFQmrNxN5MFYfNOS+SSkErXOHCZpysv4jh/v6PAKNasK7szMTNzd3dm1axcdOnSgQ4cO9opLREQKkRPxJo7Fm0hIzaDKp0sJuFBsJz3xFJtu6wdRcZa2LasGM7NHXcoFeDoo2oJNuVZERPJTosnMhJW7+W1fDE4lS5Lk7k3fPjOoeC4av7DmzDdp6s5bYVXB7ezsTHh4OFlZWfaKR0RECpmjcSk8t3oPm6Pi6LvrezqvXQBAlrsHzzV7mFfvq0NyWibn0zLwcXch2NtVifs6lGtFRCQ/xSab+XPPEQ682YfP6rRnQqenSPTw4U+P6nAwlthkFdy3wupnuJ9//nkmTpxIfHy8PeIREZFC5HRSGs9fKLan/PguMy8U2/93RzcenvcTFUN8SE7LpEqINw0qBFAlxFtJOw+Ua0VEJL+knI5l95t9AHhg749Ujj+Za/v5tAxHhFVkWP0M97x584iKiiI0NJTw8HC8/jMP244dO2wWnIiIFGznUsxERsWx5sMxNIg5AMCiO7oxre1QOBTP4BaVlahvgnKtiIjki4QE6tWrZFl8reVDRAVXyNXEx/3KaSol76wuuLt3726HMEREpDBKSstk9YfPWIptgJfbDs019ZcStfWUa0VExO4SEyEgwLL4Rov+LGjWJ1eTVlWDCfZWz7RbYXXBPWXKFHvEISIihVDYqmWUjdlvWf7v1F/+Hi5K1DdBuVZEROwqMRH8/S2LSROfZ1eVe+FgrGVdq6rBzOpVT4+C3SKrC+6Ltm3bxr59+3BycqJmzZrcfvvttoxLREQKmESTmTPn00lIzcDLtSQhny+jzLiRAJzyDqTp8CVXTP1VIdBTifoWKNeKiIjNZWVBxYqXlqdMwXfqVOZfmN5Tg5zaltUF94kTJ+jbty+bN2/G/8JVkYSEBJo1a8by5csJCwuzdYwiIuJg0QmpTPh8N5FROVe+5371KrX+3ghA0qOPM7bRwxiHLg3w1TIimOk96lA+UFN/3QzlWhERsZuSJWHMGHjhhZzX1KkA+HmqwLYHqwvuwYMHk5GRwb59+6hevToA+/fvZ/DgwQwZMoQffvjB5kGKiIjjJJrMuYrt+/f8SPcLxfZPrXqQOOw5ZlcJJik1g6S0THzdnQnwcqW0r7sjwy7UlGtFRMTm0tPhzBkIC4PJk+HhhyE83NFRFXlWF9yRkZFs2bLF8gUAoHr16syfP5/mzZvbNDgREXG800nplmK7156fmP3tmwAcDApjaJNH+CzIi1RzFjXK+joyzCJFuVZERGzq/Hnw9c0ZJG3bNqhcWcV2PrG64K5QoQIZGVdO8ZKZmUm5cuVsEpSIiBQM0QmpHD9nAmDh6hl0PrAFgKW3dWFK+8fByYnMbENTf9mYcq2IiNyKxAvPYyelZeCXlUblyqE5G86dg6NHcwpuyRclrH3D7Nmzeeqpp9i2bRuGYQA5g7o8/fTTvPbaa1bta+bMmTRq1AgfHx9CQkLo3r07+/fvz9UmOTmZESNGUL58eTw8PKhZsyZvv/22tWGLiIiVEk1mJqzcDcDHn0yyFNuf12lnKbYBPF1LauovG7NlrhURkeIlOiGVEct30u6NjfSf+9OlYhtgwgRo08ZxwRVDTsbFTJ5HAQEBmEwmMjMzcXbOuUF+8WcvL69cbePj46+2C4t77rmHPn360KhRIzIzM5k0aRJ79uzh77//tuzr0Ucf5eeff+b//u//qFixIj/88APDhw9n5cqVdOvW7YbxJiUl4efnR2JiIr6+6u4oIpJXh84k0+6Njfz840wqbd9sWV9p/JcYTjnXa5tHBDGpc03K+XtooBVsl3NsmWsLM+VwERHrJJrMjFi2k8ioWDzNqfw95wHLtq/veYiWKxcpX1+FPfON1V3K586da7ODf//997mWFy9eTEhICNu3b6dVq1YA/PrrrwwcOJC77roLgMcee4x3332Xbdu25angFhGRm5OUlkGPvetzFduVx31hKbZbRgQxvE1V/D1clLxtzJa5VkREio9TSWlERsXiYU7LVWy/e2dPZtbvw0/JZuXsfGZ1wT1w4MA8tXvllVdISEiwTGeSF4mJiQAEBgZa1rVo0YIvv/ySwYMHExoayoYNGzhw4ABvvvnmVfeRnp5Oenq6ZTkpKSnPxxcRkUtCv17J69/MAeD38LpEvv0J71cMIj0zGzfnEpT1c8fP3YXQAE39ZWv2zLUiIlI0JZrMnDiXCsCcb163rH+vUQ9mthkMoDFXHMDqZ7jzasaMGVZ1czMMgzFjxtCiRQvq1KljWT9v3jxq1apF+fLlcXV15Z577mHhwoW0aNHiqvuZOXMmfn5+lpfmKhURuQn330/pJx+lBAbL6nekd+/pzN94mCFLtzH8fztYsuUIQd5ulNM82w5lba4VEZGiKzbZbPl5bvN+pDq7saDpg8xoO8SyXmOu5D+r73DnlZWPhjNixAh2797Npk2bcq2fN28eW7du5csvvyQ8PJxffvmF4cOHU7ZsWdq3b3/FfiZOnMiYMWMsy0lJSSq6RUSssWwZrFwJQFq79qztPQXj0KWirlXVYGb1qqd5tgsAa3OtiIgUXUnnTZxb/RXNI+qwGWjw9HLSnS91H29ZNZhgb3Unz292K7it8dRTT/0/e3ceF1XZBXD8N+z7IohLgiJQ5o5pLoDaomnlXimVuVbmlku5V2oWapqWpuWbuZVmuVemaaYhtrmlpanjhgiKDDAjzArM+wd6lcxidEa28/18+Lzc+zzcOfrJ93Duvc9z2LRpEz/++CM1atRQzhsMBiZMmMD69et57LHHAGjYsCEHDx5k1qxZ/1hwu7u74+7ufsdiF0KIcmXlSujdu/D7Dh3w+Oor3jcXkJFj5rLRgq+HK8E+brL+SwghhChN9HqiI6sQDdR7YybTIuNIUmuU4ZjIIN7sUl/ydwko0YLbarUybNgw1q9fz86dOwkPDy8ybrFYsFgsODkVffPd2dmZgoKCOxmqEEKUf127wsaNhd8PGACLFoGTE/4uSIIWQgghSiuDAa7rYPG/w1lEtwqkf0y4su9K+mUTgV7yOnlJKNGCe8iQIaxcuZKNGzfi6+vLhQsXAPD398fT0xM/Pz/atGnDq6++iqenJzVr1mTXrl0sX76cd999tyRDF0KI8qVbt2vF9v33K8W2EEIIIUoxgwG8ru2nkvPCS2Tc34V1O9TKuatLweTmecko0YJ74cKFAErLr6uWLFlC3759Afj8888ZP348zzzzDJmZmdSsWZO33nqLQYMG3eFohRCinBowADZsuHaclCTFthBCCFHa/a3YZsgQfObPZ57eLEvBShGH/UYVFxeHp6fnv86xWq3/+HW12AaoWrUqS5Ys4fz58xgMBv766y9GjRqFSqVyVOhCCFFxfPklfPLJtWOLBVxKxfYeohiKk2sBFixYQHh4OB4eHtx3330kJibedO7u3buJiYkhKCgIT09P6tSpw5w5c4rM+fPPP+nRowe1atVCpVLdtG+4LZ8rhBDCBmZz0WJ78GCYPx8oXAYWEeJD47BAIkJ8pNguYbf0W1VBQQFqtZr09PQb1lK3bt0agM2bN99+dEIIIexGqzeTftlEtsGCt5szlbdsIviFfqgAnnyycMM0KbZLDXvl2tWrVzNixAgWLFhATEwMH330ER07duTIkSOEhYXdMN/b25uhQ4fSsGFDvL292b17Ny+++CLe3t688MILAOj1emrXrs2TTz7JyJEj7fK5QgghbHCluAZg0CD44IOSi0X8K5XVxp4iP//8M08//TRnz569oR2JSqUiPz/frgHeLp1Oh7+/P1qtFj8/v5IORwghSkRqtoGxaw6RqM4AYNL3/2Pg3sI12/r4Z/FasRScnUswwvLBXjnHnrm2efPmNGnSRFnGBXDvvffStWtXEhISinWN7t274+3tzYoVK24Yq1WrFiNGjGDEiBF2/1zJ4UIIcRNmMzz7LLRoAde1RBa3xpH5xuZXygcNGkTTpk35448/yMzMJCsrS/nKzMz87wsIIYS4o7R6M2PX/K4U2x3/2q0U25e9/dg0bCpaU+m6WVrR2SvXms1m9u3bR/v27Yucb9++PXv27CnWNQ4cOMCePXto06aNwz/XZDKh0+mKfAkhhLjCZIKEBMjNBTc3+OILKbbLAJvfHTxx4gRr1qwhMjLSEfEIIYSws4s6E4lXenF2OJbEvE0zAdhQtw2vPDqSjwK8yMgxyxqvUsReuTYjI4P8/HyqVKlS5HyVKlWUziA3U6NGDS5dukReXh6TJ09m4MCBDv/chIQEpkyZUuzPEUKICsNkAg+Pwu937oQtW0D2tCoTbH7C3bx5c9Rq9X9PFEIIUSpoDRYA5nw1iw83JOBiLWBtvQcY9dgo8pxdMOUVcNloKeEoxfXsnWv/vtGo1Wr9z81HExMT2bt3Lx9++CFz585l1apVDv/c8ePHo9Vqla9z587Z/JlCCFHuXF9sA8TESLFdhtj8hHvYsGGMHj2aCxcu0KBBA1xdizZQb9iwod2CE0IIcfu83J2Z/fVsuh3ZqZx79dERFDgVrtl2d3HC18P1Jj8tSoK9cm1wcDDOzs43PFVOT0+/4enz34WHhwPQoEEDLl68yOTJk4mPj3fo57q7u+Pu7l6szxBCiArh78V2v37w+uslF4+wmc0Fd48ePQDo37+/ck6lUil3rUvbpmlCCFHRVf3fB9T78wflOOqV9UqxHRMZRPplE01rBpZUeOIf2CvXurm5cd9997Ft2za6deumnN+2bRtdunQpdjxWqxWTyVTs+fb6XCGEqNDM5qLFdp8+RVt5ijLB5oL79OnTjohDCCGEI2zYQKVpbyiHUa+sx+Jc+LQ0JjKIoQ9EUSPQU9ZvlzL2zLWjRo2id+/eNG3alJYtW7Jo0SKSk5MZNGgQUPga9/nz51m+fDkAH3zwAWFhYdSpUwco7Ms9a9Yshg0bplzTbDZz5MgR5fvz589z8OBBfHx8lHXn//W5Qggh/kV+Plz/xs9zz8HSpSUWjrh1NhfcNWvWdEQcQggh7G3DBnjySVR5eeR2f5LNr0xnVbUA8gqseLk54+Kkws/dhRqVvEo6UvE39sy1PXv2RKPRMHXqVNLS0qhfvz6bN29WPiMtLY3k5GRlfkFBAePHj+f06dO4uLgQERHB9OnTefHFF5U5qampREdHK8ezZs1i1qxZtGnThp07dxbrc4UQQlyj1ZvJyDGjM1rw83SlyuF9+FwdfPZZWLasJMMTt8HmPtwAJ0+eZO7cuRw9ehSVSsW9997Lyy+/TEREhCNivC3Sw1MIUSF9/DE8/3zh9716wYoVXNTnkZVrRmfMw8/DhUBvN6r4efz7dYRN7JlzylKudRTJ4UKIiiAt28DO45cI8XXHlFeAh6szF3VGOhzeSaArhU+3hUM5Mt/Y/IR769atdO7cmcaNGxMTE4PVamXPnj3Uq1ePr776inbt2tk1QCGEEDbatAkGD752vGIFuLhQxc9FCuwyQnKtEEJUDFq9mbOZer4+lMovxy4y5+vZzL+vM55tYwl/8DHureqLf0kHKW6LzU+4o6OjeeSRR5g+fXqR8+PGjeO7775j//79dg3wdsndcSFEhbJuXeETbYsFevaETz8FF5vvrYpbZK+cU9ZyraNIDhdClHdnM3KZsOEwvxy7iHpWV+V8w5c/p0H9mrzdtQE1g71LLsAKwpH5xuY+3EePHmXAgAE3nO/fv7+ygYoQQogSMGgQ9OhRWGw/9ZQU22WY5FohhKgYcs15NxTba+s9gM7DhyS1hlxzXskFJ+zC5oK7cuXKHDx48IbzBw8eJCQkxB4xCSGEKAat3szJ9BwOJGeh7TsQPvro2uBnn0mxXYZJrhVCiIohV28qUmx/fU8sox8frRzrzdJyuayz+bex559/nhdeeIFTp07RqlUrVCoVu3fvZsaMGYwePfq/LyCEEOK2nc/Sc1ajJ9tgocbOrfgvW3xtUK+XYruMk1wrhBAVQF4ezaKqKIeb727F0K7jikzx93S901EJO7P5N7LXXnsNX19fZs+ezfjx4wGoXr06kydPZvjw4XYPUAghRFEpmXrGrjtEklpD25O/8dH6t5SxwYt+JMHqLBuslHGSa4UQopwrKADXa8X0lrtbMrjbhCJT4qKCCfF1//tPijLmltqCXXX58mUAfH197RaQvcmGK0KI8kSrNzN05X4S1Ro6HdnFrM1zcM/PY/Pdrfh85Awa1q5Mt8Z3ERHi898XE3bniJxTFnKto0gOF0KUWxoN3HcfnD2L4bFOvNhtIj+eyFCGW0cFM6NHQ6oFeJZgkBVHqWoLdr2KmPyFEKIkZeSYSbzyZHveV+8Aha+gDe88hrwzWvq0ieKy0VLCUQp7klwrhBDlSEEBqFQQFAR79sBvv+HZpQvz9GYycsxcNlrw9XAl2McNfy+3ko5W2EGxCu4mTZrw/fffExgYSHR0NCqV6qZzK0qrEiGEuFO0V5KwzmjB3cWJWX5pdFr/tjI+vPMY8pwL/+/clFeAr4es9yqLJNcKIUQ5l58P0dHw8MMwezZUrw5dugDg7yUFdnlVrIK7S5cuuLu7K9//2y8BQggh7Cc128DYtYdIvPKaWY/D35Pw3Qe45VvYdk8rXup0rdgGCPAsvCsuyh7JtUIIUY7l51/b0PTwYXj6aWjatGRjEnfEba3hLgtk/ZcQoqy6qDPyyhcHSVRrAJi442Oe/20DAL81bk3itPm8n5iszI+NDGJGj4bcFehVEuEKJOfYm/x9CiHKheuLbYCOHWHz5pKLR9zAkfnG5j7ctWvXRqPR3HA+Ozub2rVr2yUoIYSo6FKzDZxMz1GK7fE/fKIU2wBPPzySRrWv9WOOiwpmencptssLybVCCFFO/L3Y7tBBiu0KxuZN086cOUN+/o0N2E0mEykpKXYJSgghKjKt3szYtYeIvz8MgNjTB3jx13XK+L0j12BxdsXf05UNg1vJ5irlkORaIYQoB/5ebD/yCHz7bcnFI0pEsQvuTZs2Kd9v3boVf/9rXV7z8/P5/vvvCQ8Pt290QghRAWXkmEk8kUHfVrWIOXOQj9e9qYzVHfklBjcPAAK93KT9VzkjuVYIIcoJqxWaNbt23K4dbNlScvGIElPsgrtr164AqFQq+vTpU2TM1dWVWrVqMXv2bLsGJ4QQFZHuSlsv1fvvs3TtO7jmWdgWeT+Du47H4ly4A3nrqGDZHK0cklwrhBDlSJs2cOAAPPQQfPddSUcjSkixC+6CggIAwsPD+e233wgODnZYUEIIURFdbf+VV2Bl/T0GovsXtv460KAVQ9q/qhTbcVHBzOjRUF4hL4ck1wohRBlntYJWCwEB8O67EB8P999f0lGJEmTzGu7Tp087Ig4hhKjQrm//1fLs73yyZqoy9tNb81gYeRemvAICPF2JCPGhip9HCUYrHE1yrRBClEEFBeDtDdWqQVJS4f9KsV3h2VxwA+Tm5rJr1y6Sk5Mxm81FxoYPH26XwIQQoqK4qDMyds3vJKo1vPDLWibsXALA9xHNWD56Fg3cvRmwbC+trzzZlmK7YpBcK4QQZUhBATg7F35/+jQkJsJTT5VsTKJUsLngPnDgAI8++ih6vZ7c3FwqVapERkYGXl5ehISEyC8BQghhg9RsA2cycklUaxiZ+Bkv71kFwJ6whrzUdQLms5cZ26UR3RrfJTuRVyCSa4UQogy5vtgGiI2VYlsobO7DPXLkSDp16kRmZiaenp78/PPPnD17lvvuu49Zs2Y5IkYhhCiXrrb/yjZYGLH7WrEN8GL3iZhdCtdsm/MKiAjxkWK7ApFcK4QQZcTfi+2YmMKn20JcYXPBffDgQUaPHo2zszPOzs6YTCZCQ0OZOXMmEyZMcESMQghR7mj1ZtK0RuLvD6POsf2MSLpWbDcYsZrL7t7Ksa+Ha0mEKEqQ5FohhCgDrNaixXarVrB7d8nFI0olmwtuV1dXVCoVAFWqVCE5ORkAf39/5XshhBA3l5Kp589UHacycql64BdqPvckAJfdPG8otqX9V8UkuVYIIcqAwYOvfd+iReFGaUL8jc1ruKOjo9m7dy933303DzzwAK+//joZGRmsWLGCBg0aOCJGIYQoF7R6M2k6I+ezDKhUKnzmzqLJJ+8CkPPAw7wS/zqXT+qU+dL+q+KSXCuEEGXAs8/Chx/CAw/Ajh0lHY0opVRWq9Vqyw/s3buXy5cv88ADD3Dp0iX69OnD7t27iYyMZMmSJTRq1MhRsd4SnU6Hv78/Wq0WPz+/kg5HCFFBpWYbGLvmEInqDACanfuDL1eOA0AdHMa0qcvp3bYOIX7unMs0SPuvMspeOaes5VpHkRwuhCh1rFb4/Xdo3Ljw+NIlqFy5REMSt8+R+camJ9xWq5XKlStTr149ACpXrszmzZvtGpAQQpQ3VzdHu77YXvrlZAAyAyrz7YdfsvO3S/QGzmUa+PzXZGn/VYFJrhVCiFLKagWnKytyP/8cevaUYlv8J5vWcFutVqKiokhJSXFUPEIIUe5k5JhJPFFYbL/085d8uXIc3hYjP9aKpmX/D6lbtyYAprwCagd7My8+mmoBniUZsihBkmuFEKIUur7YBjh1quRiEWWKTQW3k5MTUVFRaDQaR8UjhBDljs5oAWDQz2sYu2sZAOnegTzffRImV3dMeQUABHi6Us3fQ9ZsV3CSa4UQopT5e7HdqBGMH19y8YgyxeZdymfOnMmrr77KH3/84Yh4hBCi3PHzcGXAbxsYt2upcq7dgAWYXN0BcHdxIjYyiLBKXlJsC0ByrRBClBp/L7YbNICDB0ssHFH22LxpWmBgIHq9nry8PNzc3PD0LPraY2Zmpl0DvF2y4YoQoqTl7NiFz0NtlePGw1eS7Vn4/0cxkUE83qA6MZFBhAV53+QKoqywV84pa7nWUSSHCyFK1N+L7Xr1QG6ElkulZtM0gLlz59o1ACGEKNd++gmfrp0AOBsaRZduU5RiOy4qmKld6uHt5kKIbJAmriO5VgghSoH//e/a93XrSrEtbonNT7jLGrk7LoQoMYsWwYsvFn7/4INoV68lo8CFy0YLvh6uBPu4ySvk5YzkHPuSv08hxJ2k1ZvJyDGjM1rw83QlGAv+T3aDKlVg9eqSDk84UIk/4dbpdMW+oCREIYQAfvoJhg69dvzVV/h7eeFfchGJUk5yrRBClJzUbENhC8/jl+h8dBff3hNDyzrVmL72a6oH+ZR0eKIMK1bBHRAQgEqlKtYF8/PzbysgIYQoi66/K175zwPc1bMrKosFmjeHr74CL6+SDlGUcpJrhRCiZGj1ZqXYPjOzcBnY1r92M8hpAuM2wLz4aHkjTdyyYhXcP/zwg/L9mTNnGDduHH379qVly5YA/PTTTyxbtoyEhATHRCmEEKWYclf8RAZ9925i8veLADDFxOG+9Vvwls3QxH+TXCuEECUjI8dcpNgGMLq4Y1U58eOJDDJyzFJwi1tm8xruhx56iIEDBxIfH1/k/MqVK1m0aBE7d+60Z3y3TdZ/CSEcSas3M3TVARJPZPDcvq+Yuv0jZWzgBz8wu28rSdIViL1yTlnLtY4iOVwIcSccOJtJdK0g5ficfxXiBi1WjjcMbkXjsMCSCE3cIY7MNzb34f7pp59o2rTpDeebNm3Kr7/+apeghBCirMjIMZN4IoNHju8pUmw3HbqC7cm5ZOSYSzA6UVZJrhVCiDvEai1SbKf4hRQptgF8PVzvdFSiHLG54A4NDeXDDz+84fxHH31EaGioTddKSEigWbNm+Pr6EhISQteuXTl27NgN844ePUrnzp3x9/fH19eXFi1akJycbGvoQghhdzqjhYZpx3ln83vKuaZDV5DhXXgn/LLRUlKhiTLMnrlWCCHEv3C79hZail9lYl/6pMhw66hggn3kTTVx62zuwz1nzhx69OjB1q1badGiBQA///wzJ0+eZO3atTZda9euXQwZMoRmzZqRl5fHxIkTad++PUeOHMH7yprHkydPEhsby4ABA5gyZQr+/v4cPXoUDw/pWSuEKHmV/zrMp6tfw8+Uyy816vFC90loPX2VcbkrLm6FPXOtEEKIm/jtN8jLAyC/+l1MmLoWTmQow62jgpnRo6EsDRO35Zb6cJ87d46FCxfy119/YbVaqVu3LoMGDbrtu+6XLl0iJCSEXbt20bp1awB69eqFq6srK1asuKVryvovIYTDbN8O7doB8GuNuvR9cgp6N09luHVUsOxsWsHYM+c4KteWJZLDhRD2dEOfbW83/Jd+DCdPwuzZyvhlowVfD1eCfdwkh1cQjsw3t1RwO4parSYqKorDhw9Tv359CgoK8Pf3Z8yYMezevZsDBw4QHh7O+PHj6dq16z9ew2QyYTKZlGOdTkdoaKgkayHEbbs+UQcf/4MaT3ZGlZ0NwAvzv+e7cwZl7tW74tUCPG9yNVEeSYFoX/L3KYSwl+s7igzd8znbI5sTEtOM6T0aUl1ydYVXqgruWrVq0b9/f/r162fXu+xWq5UuXbqQlZVFYmIiABcuXKBatWp4eXkxbdo0HnjgAbZs2cKECRP44YcfaNOmzQ3XmTx5MlOmTLnhvCRrIcTtOJ+l56xGT7bBQuXjf9Cg7xN45OgwNW+J+9Zv0bp6yl1xYbeE7ahcW9ZIwS2EsIfrO4ocf6crbgV5FKDivmGf0qBRhLyNJkrXLuWjR49m48aNhIeH065dOz7//PMiT5Rv1dChQzl06BCrVq1SzhUUFADQpUsXRo4cSePGjRk3bhyPP/74P24mAzB+/Hi0Wq3yde7cuduOTQhRsaVk6hmz9hBPf/wLu8Yk0OyJ9njk6MiObsbovm+jdfXE38uNiBAfGocFEhHiI4lb3BZH5VohhKiIrnYUOTarG24FhWu2TwbVIMvLX+mzLYSj2FxwDxs2jH379rFv3z7q1q3L8OHDqVatGkOHDmX//v23FMSwYcPYtGkTP/zwAzVq1FDOBwcH4+LiQt26dYvMv/fee2+6S7m7uzt+fn5FvoQQ4lZp9WbGrztEklrDU79/x4wt85SxV/olUKt2NUnUwu4ckWuFEKKi0hkt/DW7O+75hZ1Dsjx8aTdwoTIuHUWEI9lccF/VqFEj3nvvPc6fP88bb7zBxx9/TLNmzWjUqBGffPIJxXlT3Wq1MnToUNatW8eOHTsIDw8vMu7m5kazZs1uaBV2/PhxataseauhCyFEsWXkmElUa2iYdpyZW95XzjcfvJTt541EhwZIohYOY49cK4QQFZFWb+Zkeg4HkrNoVKcGHnmFN8e17t5Ev7yqyFzpKCIcyea2YFdZLBbWr1/PkiVL2LZtGy1atGDAgAGkpqYyceJEtm/fzsqVK//1GkOGDGHlypVs3LgRX19fLly4AIC/vz+enoWbF7z66qv07NmT1q1bK2u4v/rqK3bu3HmroQshRLHpjBbqXjzFsi/eUM61eGkpF32DATDlFUiiFg5jj1wrhBAVzfUbpG3/3yCcDHoAdO7eNBqxushc6bMtHM3mgnv//v0sWbKEVatW4ezsTO/evZkzZw516tRR5rRv315p6/VvFi4sfJWjbdu2Rc4vWbKEvn37AtCtWzc+/PBDEhISGD58OPfccw9r164lNjbW1tCFEKJYrt+NPPDI76xd+xqexsscqHYPz/WcymV3b2VugKerJGphd/bMtUIIUZFo9Wal2PYz5hCSmwVAno8vg+d8B2qNMlf6bIs7weaCu1mzZrRr146FCxfStWtXXF1vfLJTt25devXq9Z/XKu6rcP3796d///62hiqEEDa7/q543Yun2Lx0OADahk148ZEJXHbyUObGRgZRM8hLErWwO3vmWiGEqChSsw1oDRYST2QAoPPw4fE+c2l34mdWxT5B/7BAJj1WF6MlXzqKiDvG5rZgZ8+eLVPrp6WliBCiuC7qjLzyxUES1RruTT/FZ59PopJBB8Dz723jnjqhzN+hBiAuKpiEbg2oUcmrJEMWpYy9ck5Zy7WOIjlcCFEcWr2ZLL2FiRsO80zzmmQ9159U38p80KrnDXM3DG5F47DAEohSlGaOzDc2P+G++guA2WwmPT1dad11VVhYmH0iE0KIO0SrN3NBZ8ScX0CiWkP0+b9YvHYqlQw6DlaL4rmn3kSXamL0k9V4uE6I3BUXDie5Vgghiict20C2wcLb3xwhSa1hyZjHcMvKBODX0Hr8Flq/yHzZd0XcaTYX3MePH2fAgAHs2bOnyHmr1YpKpSI/P99uwQkhhKOlZRvYeewSIX7ueLm50OXPH3jv69kA14ptDx8AjJZ8uSsu7gjJtUII8d+0ejNnM/UUFFhJVGv4bd6zuOmzATC6uN1QbMsGaaIk2Fxw9+vXDxcXF77++muqVauGSqVyRFxCCOFwVxP114dTSVJr2Jn5He99fa31V58npyrFNshdcXHnSK4VQoj/lq23MG/HCZ5pXpNf5/em8pViu8DZmQELd8kGaaJUsLngPnjwIPv27SuyU6oQQpRFVxN1klpDpyO7qPXVtWI7dtBitJ6+yrHcFRd3kuRaIYT4b7nmPJLUGj6Z0BX3K7uRF6Ci/oSv6R8WSP+YcEx5BYQHe1Pd30OKbVEibC6469atS0ZGhiNiEUKIO+pqon786I/M++od5fzESUtJsQQrx3FyV1zcYZJrhRDi5q6278wx5fHu17Nxv3RRGas99isw5yubnMZGBjHziUaSw0WJKVbBrdPplO9nzJjBmDFjePvtt2nQoMENrUpkF1EhRGl3UWckK9fMZWMee7z+oPqmmcpY+6Gf0D6uBYtDA/BxdyG/wEpEiA9V/Dz+5YpC3D7JtUII8d+ub9+5+Ln7sF635OaZRXvgZKZyHBcZzLRu9ake4FkSoQoBFLMtmJOTU5H1Y1c3bblead3IRVqKCCGul6zJZfz6wySpNXT8azcLN05XxrqMXMbvbkHK8YYhMVTxdaeaJGpRTLeTc8pyrnUUyeFCiOtp9WaGrjpA4okMXPMtvNjuXg6eycB7y2YS68XSP6420aEBmPIKCPB0pWaQF3cFSvtO8d9KvC3YDz/8YNcPFUKIknA+S68U2w+f+KVIsT3+jRUM79mOAcv2AoWvkVfz95An2+KOkVwrhBD/LiPHTOKJDJZ8+QaVc7MZSALT+rdmiVMn9GqN8hr51Q3S5Ia5KA2KVXC3adPG5gsPHjyYqVOnEhwc/N+ThRDCwc5pcskx55Ok1tD25F7mb5qhjLV5YRFnjYE87ecOXEvUUmyLO0lyrRBC/Dud0cLOj56nVnYaAA///gPDV/nSPzac/jHh+Hq4EuTtRrCPm6zZFqWGk6Mu/OmnnxZZjyaEECUlOVPPuPWHOZ2RyyPH9rB0zWQ88sycDahaWGwHVgfAYM7n+1FtmBcfLXfFRZkguVYIUd5p9WZOpudwIDmLem2bKsU2wKfRj6K/skHagGV7CfJ2IyLER4ptUarYvEt5cRVjabgQQjjcRZ2RiesOkaTWMOXPr/how9vKWO+n3iQ5sJpy7OfhSkSIzz9dRohSSXKtEKI8S8nUM37dIRLVGr7/34u4ZZ5XxupO2gyWAuVY2neK0sphT7iFEKKkpWYbOJmeQ6JaQ/vjPxE591qx/cDzHxUptmMjgwj0lkQthBBClAbns/SMvVJsb//fICKuK7afXbSH/nG1leOYyCCmdqkvT7ZFqeSwJ9xCCFGStHozY9ceIv7+MNqd+JlF699SxiaP/YjT3KUcx0YG8Xa3BrJmWwghhChhWr2ZbL2F89kGktQaBv28hsjMFGW81piv4GQmYx+9l7rV/HB3ceLAuWx0BjPgXXKBC3ETUnALIcqlqzuZvn7sW/63bppy/rGXFvHAg61ZfKVtSHiwN34eLtI2RAghhChhV3ts921VC1Ne4evif1WupYzXGvMVXGmXeC7TwODP9itj3RrfhRClkRTcQohySWe08JD6F6LWvqmce2jgQk76VefPK21DYiODSOjWQIptIYQQooRp9WZ2Hb9E31a18HJzwf3iOQB2RjTlwYEfcqrSXUqxDeDucm1lrKzfFqWZw9ZwP/vss3ZvGi6EEMUVfPxPFl9XbL/56gJOBoUqx3FRwbzdvSGhQfL6mSi7JNcKIcqLLL2Frw+lMmDZXur2eITYB6J5yXgcgFNBNYoU23GRwRw4lw1ca+Up67dFaXVLT7iNRiOHDh0iPT2dgoKCImOdO3cGYOHChbcfnRBCFMPV9V655jxyzflUT9pB6LNPKuOdBn1Im4fbKq+RB3gW7kYua7ZFaSa5VghRUVzUGXltw2GS1Bq+Xvoy/hdPAvBsyl4OdWhJklqjzI2NDGJat/po9Wa6Nb5Lem6LUs/mgnvLli0899xzZGRk3DCmUqnIz8+3S2BCCFEcadkGzmr0zPvhBElqDW1P7mXpmskAWJ2dGTNrI4cvwOErr5FfvRMuxbYozSTXCiEqipQsPZeNeQx+IIpF817C80qxDfDaY8OJviuA/jHhyg3zmkFehUvB5A01UUbYXHAPHTqUJ598ktdff50qVao4IiYhhCgWrd7MzmOX+PpwKklqDc/t+4qp2z9Sxie8vpxX+j/EIGMel40WfD1c5U64KBMk1wohKoKzmlwmrC98sr1x2Ug8L5xQxuISttPlrgCiQwPwdnchrJIbIb7uksNFmWNzwZ2ens6oUaPkFwAhRInTGiw0Cgtg/PrDtD61r0ix3b7/fI7r/RlozCMixKcEoxTCdpJrhRDl2UWdkWy9mZQsAwNiazPrnReodl2x/eyiPUyOrc2AZXsB2DoijqgqviUVrhC3xeZN05544gl27tzpgFCEEKL4kjW5jF9/mDMZucSd3s/yL99Qxp7uOY3jV9qIXDZaSihCIW6dvXPtggULCA8Px8PDg/vuu4/ExMSbzt29ezcxMTEEBQXh6elJnTp1mDNnzg3z1q5dS926dXF3d6du3bqsX7++yPjkyZNRqVRFvqpWrWq3P5MQomxK1uQy6ouDPDI3kQHL9vLF+LlUO35YGa815it2n8wkxM8dKFwKVlWWgYkyzOYn3PPnz+fJJ58kMTGRBg0a4OrqWmR8+PDhdgtOCCH+yUWdkfFXXkGblJrEii9eV8Y69JvHXyHhyrGvh+s/XUKIUs2euXb16tWMGDGCBQsWEBMTw0cffUTHjh05cuQIYWFhN8z39vZm6NChNGzYEG9vb3bv3s2LL76It7c3L7zwAgA//fQTPXv25M0336Rbt26sX7+ep556it27d9O8eXPlWvXq1WP79u3KsbOzs61/FUKIcuT6/H3VT2ENORISTg19FovW/AQ/FK7hzjHmEyc7kItyQGW1Wq22/MDHH3/MoEGD8PT0JCgoCNV1W/SrVCpOnTpl9yBvh06nw9/fH61WK61ThCgn/krT0eG9RGLOHOSz1ZOU838vtuOigpkfHy2JWtwx9so59sy1zZs3p0mTJkV2NL/33nvp2rUrCQkJxbpG9+7d8fb2ZsWKFQD07NkTnU7Ht99+q8zp0KEDgYGBrFq1Cih8wr1hwwYOHjxY7Fj/TnK4EOXL6Us5nMrIxZRXQNWDv/JDcBSLf0qGnBz0rh4s7ttMeY3825fjqOTtJpucijvCkfnG5lfKJ02axNSpU9FqtZw5c4bTp08rX6Wt2BZClC9avZmT6TloDRZCsy8UKbanvzynaLEdGUxCtwZSbIsyyV651mw2s2/fPtq3b1/kfPv27dmzZ0+xrnHgwAH27NlDmzZtlHM//fTTDdd85JFHbrjmiRMnqF69OuHh4fTq1es/YzeZTOh0uiJfQojyISVTz+sb/2DAsr0EPdqOJs91pdmbr/L+Uw3BxwdUKkx5hS0QYyOD8PVwkWJblAs2v1JuNpvp2bMnTk421+pCCHHLUrMNjF17iMQTGay7x0jiRwOVsR4D59Hy0XZKn+3wYG/8PVyoHuhVghELcevslWszMjLIz8+/YfO1KlWqcOHChX/92Ro1anDp0iXy8vKYPHkyAwde+zd34cKF/7xm8+bNWb58OXfffTcXL15k2rRptGrVij///JOgoKB//MyEhASmTJli6x9TCFHKpWTpGb/uEIlqDatXjqN5yp8AVFYfYdpPZ+kfG878HWrcXZyIjQzirW4NqCE5XJQTNmfyPn36sHr1akfEIoQQ/+h8lp6sXDOD20ays6GZJv2fUMaaDVnOvqDCRD1g2V5W/nIWf09XKbZFmWbvXHv9K+kAVqv1hnN/l5iYyN69e/nwww+ZO3eu8qp4ca/ZsWNHevToQYMGDXj44Yf55ptvAFi2bNlNP3P8+PFotVrl69y5c8X68wkhSq+UTD1nNXoS1RpWrRpP83N/KGOP9nufpJOZRIcGEBcZTHiQN9N7NKSm9NgW5YjNT7jz8/OZOXMmW7dupWHDhjds5PLuu+/aLTghhLi+R+djRxP5YNMMZeztN1dwKSdQOY6NDOLtbg2oHuBZEqEKYTf2yrXBwcE4Ozvf8DQ7PT39P1uOhYcXLtFo0KABFy9eZPLkycTHxwNQtWpVm6/p7e1NgwYNOHHixE3nuLu74+7u/q9xCSHKBq3eTJbezGsb/iC+eU1WrppAy+Rru5GHj9mEVXXt2d+0bvUJ8HSVpWCi3LG54D58+DDR0dEA/PHHH0XG/utuuRBC2OJ8ll4ptlskHypSbL8+4WOe6Ps4zS+b8PVwwc/DlUDZXEWUE/bKtW5ubtx3331s27aNbt26Kee3bdtGly5din0dq9WKyWRSjlu2bMm2bdsYOXKkcu67776jVatWN72GyWTi6NGjxMXFFftzhRBlU1q2gZ3HLlG/hh+Jag1zPxlLUPIhZfzvxXZooJc81Rblls0F9w8//OCIOIQQoojUbAPZegtJag3Nkw/z+aoJytizT73J7vyqPKmCAcv28v2oNkSE+JRgtELYlz1z7ahRo+jduzdNmzalZcuWLFq0iOTkZAYNGgQUvsZ9/vx5li9fDsAHH3xAWFgYderUAQr7cs+aNYthw4Yp13z55Zdp3bo1M2bMoEuXLmzcuJHt27eze/duZc4rr7xCp06dCAsLIz09nWnTpqHT6ejTp4/d/mxCiNJHqzdzVqPn68Op+Hu5cs+lMwT99KMy/vdiOy4qmCp+8maLKL9sLrivl5KSgkql4q677rJXPEIIwUWdkbFrfmfwA1G0PfkbS9dc20Sp03NzOFwtCijs0dk6KphgH3n9TJRft5tre/bsiUajYerUqaSlpVG/fn02b95MzZo1AUhLSyM5OVmZX1BQwPjx4zl9+jQuLi5EREQwffp0XnzxRWVOq1at+Pzzz5k0aRKvvfYaERERrF69ukgP7pSUFOLj48nIyKBy5cq0aNGCn3/+WflcIUT5o9Wb0RosfPDDCZLUGvrHhHOsci3ea/scfbRHGTpoDtZT2cp86SgiKgKb+3AXFBQwbdo0Zs+eTU5ODgC+vr6MHj2aiRMnlrrdy6WHpxBlS2q2gTMZuTz98S98f7+KiB6PKWOdn3uXQ9XuVo6/GRZLJW83qsmabVFK2CvnlLVc6yiSw4UoOy5kG8gyWCgosPLYvN08djSRxt0eYmeeL0lqDV6uTvSPq030lY4i/p6u1Azykt3IRangyHxj8xPuiRMnsnjxYqZPn05MTAxWq5WkpCQmT56M0WjkrbfesmuAQoiKQ6s3M3btIeLvD6O6Lp2IHv2VsfhebxcptmMjgwjwcpViW5RLkmuFEGXJRZ2RbIOF1GwD3u4ufPLlZB48tRftdx9wz9Y9ACSpNczfoQYKXyNPkNZfooKw+Ql39erV+fDDD+ncuXOR8xs3bmTw4MGcP3/ergHeLrk7LkTZcFFnJDPXzOmMXOqcPETtbh2UsTfGf8yygqrK8dUenbLBiiht7JVzylqudRTJ4UKUfqnZBsau+Z1EtQaAvT/PJXjXdmW83qRv6BcXoTzZrhXkTZCPbHIqSpdS9YQ7MzNT2UjlenXq1CEzM9MuQQkhKpZzmlySswxoDRZq7NpK7WH9lLEe41YxuPcDPOHnTo4xHz8PFwK8XLlL7oqLckxyrRCiLLi658rVYvvjNVMIPvmbMl771Y0UWKzXnmxHBjOjRwMptkWFYvMisEaNGjF//vwbzs+fP59GjRrZJSghRMWRnKln3PrDPPPxLyye8SkNryu23574MS0fiGbAsr10mpfEgp1qKnm7SbEtyj3JtUKI0i4tS4/elEffmHAWPNOE336bx8PXFdu9P0ykwMlZOY6LCiahewOqSw4XFYzNT7hnzpzJY489xvbt22nZsiUqlYo9e/Zw7tw5Nm/e7IgYhRDllFZvZuK6QySpNUSf/4u1n41Rxua8lIBb61geqVeFutX8CPB0JSLER+6KiwpBcq0QojQ7n6lHa7SQsPkoiWoNc76aReUjO5Xx5pO/5cnwyrz6WH1SsgzUrORFsK+75HBRIdn8hLtNmzYcP36cbt26kZ2dTWZmJt27d+fYsWPExcU5IkYhRDmVkWMmUa2hqi6D1SvHKeeffHo67/k1IDo0gHOZBj7/NZnwYG9J1KLCkFwrhCitLuqMXMoxk6Y10i+2NiNbVuPxvxKV8d4fJvJky3Dm71Bz6bKJlb+cJcDLVXK4qLBsesJtsVho3749H330keyQKoS4bTqjhUapx9i4YjQAeSonej2dwN4a9QAw5RUQHuzNvPho6dEpKgzJtUKI0iolU8/4dYeUNdsAMZFBNF+7jfNTpjOm3RDyT2vp2zqKmMgg0nUm3u7eUJaCiQrNpoLb1dWVP/74A5VK5ah4hBAVSOUjvyvFNkCbFz/mvH+Icuzv6UolbzcptkWFIrlWCFEapWYVLbZ7HdyCE1ZW0hEIInrG++Rf2RwNYFqX+ri7OMmabVHh2fxK+XPPPcfixYsdEYsQopzT6s2cTM/hQHIWZw4dp0bHB5Sxp56eXqTYjo0MIizQU15BExWS5FohRGmi1ZvRmfKUYnv56teYvnU+b2/9gJZnfy/ciyU0QJkf5OOOt7uLFNtCcAubppnNZj7++GO2bdtG06ZN8fYu2gf33XfftVtwQojy43yWnrMaPdkGC35Zl6j59LX+wm+9uoBfncKU47ioYN7q1oDQSpKoRcUkuVYIUZroDBbOZxkAOP5OV9wK8pSxX0LrA4XLwKDwhnmwtxshcsNcCOAWCu4//viDJk2aAHD8+PEiY/L6mxDin6Rk6hl7ZTfy+hfUbFo2EiesGKrXIOHVBQzp345exjwuGy34ergS7COvkYuKTXKtEKI00OrNaA0WLhvzqOzrzrFZ3YoU25GvbFBaf7m7OBXeMO9anxpyw1wIRbEK7kOHDlG/fn2cnJz44YcfHB2TEKIc0erNjL9SbFfOyeTrZSOUsXHD3ie07t3kGPOICPEpuSCFKAUk1wohSpO0LD3mAivnswxkGyx0aFYbp3yLMn7P6HXkOReWEnFRwdQO9mbWk41kKZgQf1OsNdzR0dFkZGQAULt2bTQazX/8hBBCFBbbaVojiVeK7c9XTVDG4nu9xcZsN6JDA7hstPzLVYSoGCTXCiFKi3OZerIMFiasP8zTH/9CaLs4nExGZfye0eswuRS+iRYTGcTULvUIr+wjxbYQ/6BYT7gDAgI4ffo0ISEhnDlzhoKCAkfHJYQo41KzDYxdc4j45mGEZaXxyZopRGSmkOJXmV7xCaQEVAUK13z5eriWcLRClDzJtUKI0uB8lp7dJy6x+XAaSWoNjxzfQ4OLJ5Xx1Tv/4rOalckrsJJryiNdZ8TbzeZVqkJUGMV6wt2jRw/atGlDeHg4KpWKpk2bUrt27X/8skVCQgLNmjXD19eXkJAQunbtyrFjx246/8UXX0SlUjF37lybPkcIcWdp9WbGrjlEojqDIPVRflz0PJGZKZz3rUz8dcU2QIBn4ZptISo6R+VaIYQorqtrtuvX8Ce+eU0+6dOUEVm/K+P3jF7H2G/VaA0WMnPNLE06Q6vIYNkgTYh/UazbUYsWLaJ79+6o1WqGDx/O888/j6+v721/+K5duxgyZAjNmjUjLy+PiRMn0r59e44cOXLDjqwbNmzgl19+oXr16rf9uUIIx8rIMZOozqBO+mmadx+mnH+h+0TOXVdsx0YGUTPISzZIEwLH5VohhCiuTL2ZhM1HSVRrGJ60iqYpR5g9ciavxMbwhLUhpiv7pZnyCqhZyYu3u9UnNMj73y8qRAVX7Pc/OnToAMC+fft4+eWX//OXgJSUFKpXr46T080fom/ZsqXI8ZIlSwgJCWHfvn20bt1aOX/+/HmGDh3K1q1beeyxx/71c00mEyaTSTnW6XT/Ol8IYT9avZmMHDOaXDPBuVks+/INZSxh5Hv86RahHMdFBZPQrQF3SY9OIRSOyLVCCPFfrj7Zfn3DHySqNXy99GXqX3mN/Oe1K3iz90v0DQtk/g41AP6ervh5uEixLUQx2LzgYsmSJcWaV7duXQ4ePGjTq29arRaASpUqKecKCgro3bs3r776KvXq1fvPayQkJDBlypRif6YQwj5Ssw2MXXuIxBMZrHisJqtWTaBKTia5rh4Mf+o17u3wCItDAzDlFRBayRM/d1dpGyLETTgy1wohxPXSsg2c1ejJt1pJVGvYO+8ZgvVaZfzjZt0wqzX0jwkHCt9OCwv0lGJbiGJy2A4HVqvV5vmjRo0iNjaW+vXrK+dnzJiBi4sLw4cPL9Z1xo8fz6hRo5RjnU5HaGioTbEIIWxzUWfkTEYu8feHMbSykeatGwCQ5hNEr6cTOBtYne+v3BWPiQzi8YbVebR+1X+7pBCiGGzNtUIIcT2t3szZzMJi20ml4tf5vYsU2/eOXIPZpXBjU1NeQWGf7W4NCJUb5kIUW6nZUnDo0KEcOnSI3bt3K+f27dvHe++9x/79+1GpVMW6jru7O+7u7o4KUwjxN4W7kf9OolpDUG42++Y/q4zNm/gRZ7OvbaQSExnEsAejqFVJ1m0LIYQQJS1Lb+GDHSdIVGv4a8lAPHKzlLF7R67B4HYth4dLn20hbkmpKLiHDRvGpk2b+PHHH6lRo4ZyPjExkfT0dMLCwpRz+fn5jB49mrlz53LmzJkSiFYIcZXyZLt5TV6415c6z3ZTxmYOn83DXWPp7uGK1Qre7s54u7kQ4OUqxbYQQghRwlKzDaRmG4hvXpOZX8/BI/2CMlZ35JdFiu24qGD8PFyk2BbiFpRowW21Whk2bBjr169n586dhIeHFxnv3bs3Dz/8cJFzjzzyCL1796Zfv353MlQhxN9c/2Q7MiOZ5V+8TuXLGZgqV6Hrk9M46lmNxVZ44sOf+H5UGyJCfEo6ZCGEEEIAyZpcJq4/TKJaw4PqX3l04xfK2IB529GnGJXjuMhgpnWtL5ucCnGLHFZwF+cV8CFDhrBy5Uo2btyIr68vFy4U3lnz9/fH09OToKAggoKCivyMq6srVatW5Z577nFI3EKI/5aabVCebA+plkeLxwcDYHBxZ9Lw93no/kYc3aHGlFdA66hg6bMthIMUd7mVEEJA4ZrtzFwzOeY8hjwYxahWd5Gy+jSW9c5ke/oy6d2NPB13D08DXm4uWK1Wwip5ySanQtwGh/URKc5GLgsXLkSr1dK2bVuqVaumfK1evdpRYQkhblOyJpexa37n6Y9/4c2FW2nxeJwyNvKJCazN8SY6NACAAE9XZvRoKK+QC+EgsmmaEKK40rINHE27zKSNf9BpXhKHej1PdL0wDpjc+f3TDTz08gq2nroMwIBle6XYFsJObC64ly5dil6v/895R44coWbNmv86x2q1/uNX3759b/ozZ86cYcSIETZGLYSwh4s6o/IKWqBeyydrrrXgmzV0JpH9egLXdjKNCPGhWoBnSYUrRJllz1wrhBAXdUYu6kzkmvMYEFubvZ+P5IXf1gMQ9+VHvJcbzHNtooCiOVyKbSFun80F9/jx46latSoDBgxgz549N50XGhqKs7PzbQUnhChdsvRmEtUaAgw6Pls9iXsvnSHdO5Duz77DfO+6RZ5sz+zRUDZXEeIWSa4VQthLaraBV744SNcFSQxYtpewmPsIPntCGX+p63gS1RrJ4UI4iM0Fd0pKCp9++ilZWVk88MAD1KlThxkzZijrr4UQ5dNFnZHzWQbCM89z8P2nqZt+mnTvQOLj32b/XfcC8mRbCHuRXCuEsAet3syuY+n0jQlnwTNN+GPNaCIzU5Tx99f9htG1sLA25RUQFxlMrWBvyeFC2JHNBbezszOdO3dm3bp1nDt3jhdeeIHPPvuMsLAwOnfuzMaNGykoKHBErEKIEpKabeBkeg4u2Zl8vfRl5Xx8/NucDApVjuWuuBD2IblWCGEPmXozXx9OY8CyvdR+sCU+J48pY81f/ZJ6dYrm8Le61ae6FNtC2NVtbZoWEhJCTEwMLVu2xMnJicOHD9O3b18iIiLYuXOnnUIUQpSUizojf6XpSNboCTblcP/zPfG2FLYKebHrhCLFdlyU3BUXwhEk1wohboVWb+b1DX+QpNbw6q5l1Mk4q4w9/953PPlwA0x5hTfu4qKCqRnkRViQd0mFK0S5dUsF98WLF5k1axb16tWjbdu26HQ6vv76a06fPk1qairdu3enT58+9o5VCHEHndXkMuqLg3R4L5GxM9dxd/1wPP88TH7lykyatoqt97RS5sZEBjG1Sz25Ky6EHUmuFULcqvNZelK1RuKb12RdXQtDfv5SGWv48udsSzUTHRqAu4sTcZHBvCV9toVwGJXVxp4inTp1YuvWrdx9990MHDiQ5557jkqVKhWZk5qaSo0aNUrF6246nQ5/f3+0Wi1+fn4lHY4QZUJKlp6xaw+RpNYQlpXGj4ueV8bGTFnJs/07cumyCVNeAe4uTqRfNvFo/arS/ktUePbKOWUt1zqK5HAhbHdWk8ukKx1FamtS0Hl4s2Ht6/hUCeKhRyaiwRWAxX2aUjvYGy93F1kKJio8R+YbF1t/ICQkhF27dtGyZcubzqlWrRqnT5++rcCEECVDqzej1VtIUmvwN1wuUmwP7jKOzXo/eqsKe3RC4WtoM6XXthB2JblWCHErzmlymbD+MElqDWN2LWXwz2v4uGkXOj0xjQZ1Q4mvHcL8HWoAqvp54OHqLMW2EA5m8yvlbdq0oUmTJjecN5vNLF++HACVSiV9QYUoozJyzOiMefgZc/h09STl/JDOY9lcJxYAvSmfBc80YeXA5sx6spGs2xbCziTXCiFsodWbSdbkci7LQJJaw4bloxj88xoAnjm4hcvu3vx4Rqe0/oqLDMLPw0XytxB3gM0Fd79+/dBqtTecv3z5Mv369bNLUEKIO+/qBmkZOSYqmQuL7QYXT5Lh5U+HfvP45t44Za6XuzOf/5pMeLC33BkXwgEk1wohiutCtoHUbCOXjXmoVCrWrRhN47TjynjToSvIcy58qfVq+863ujUgVDZIE+KOsPmVcqvVikqluuF8SkoK/v7+dglKCHFnJWtyGX/lFbTqunT2LOwPgMbTj6d7vcXxyrWUubGRQQR4uDIvPlpeIxfCQSTXCiGKQ6s3k6k389bmoySpNRz8bgoBqddaf0UP+4xc92uboYUHezNf8rcQd1SxC+7o6GhUKhUqlYqHHnoIF5drP5qfn8/p06fp0KGDQ4IUQjjORZ1RKbb9jDn8b+00ZWzO6Pc5bglWjmMjg+SuuBAOJLlWCFFcWr2ZzFwzCVeK7S8+G0NAyhFlvMmwz8jyunaDLi4yGD8PFym2hbjDil1wd+3aFYCDBw/yyCOP4OPjo4y5ublRq1YtevToYfcAhRCOlZVrVortFatfo176KbTu3kzo8grhcS34tkE1svWWK0nalRrSNkQIh5FcK4QojgvZBs5k6vH3dCVRrSH+4Bbuv67Yfmn2N2SmX2tEFBsZxLRu0vpLiJJQ7IL7jTfeAKBWrVr07NkTDw9ZtylEWXZRZyQr14zWYOEubTpJHxa+Rp555TXyv0LCYYea1lHBhPi6E+zjJnfFhXAwybVCiP+i1Zsx5hWQX2AlW29h1YOVaTr3Y2U8dtQqutaPYHFoAF5uLlitVkIDPeXtNCFKiM1ruPv06eOIOIQQd9D1a7Y/bVdVKbYBnuk1rbDYvsLPw5WIEJ9/uowQwkEk1wohbibbYGHihsIcDoDVyvsPPEmrnBQ6tBpKhspdaf31zbBYeTtNiBJWrIK7UqVKHD9+nODgYAIDA/9xI5erMjMz7RacEML+UrMNTLxSbPuacol9uKkyNuqxkRwNqa0cx0YGEegtT7WFuBMk1woh/o1WX/hW2qQrOfz+c3/w3P5vGPXYKIY3fIrW4QH0ql1ZKbZjr7T+kmJbiJJVrIJ7zpw5+Pr6Kt//2y8BQojSKzXbwJmMXBLVGnxMepZ98boy9lHfSayr0kI5jo0M4u1uDaTtlxB3iORaIcTNXMg2kKW3UGC1kqjWMGTPal5NXAHA8eAw3o+J58czWvq0iQIobP3Vtb68Ri5EKaCyWq3W/55Wdul0Ovz9/dFqtfj5+ZV0OEKUGK3ezNBVB4i/P4w3PvqeReumEZ12jCwPXwY++zYtn2xHdGgAvh4u+Hm4EujtJsW2EDaSnGNf8vcpROGeK5m5ZlKzDYT4upP92hTils5Vxu8ZvQ6TS+HbaKueb0GAlyuVJIcLYRNH5hub13Bv3rwZZ2dnHnnkkSLnv/vuO/Lz8+nYsaPdghNC2E9GjpnEExkMaBjEbx/0BiDbw4dne03jz6Bw9l15BW3Ly3HUqSa/2ApRkiTXCiEAUjL1jF93iMQr67UH//QFY35crow3fPlzpdgGKLBapdgWopRxsvUHxo0bR35+/g3nCwoKGDdunF2CEkLYj1Zv5mR6DppcM94mPVF9n1LGxnR8mT+rRCjHsmZbiNJBcq0Q4tzfiu1BP68pUmzP//JndB7XNjWNjQwiLNBTim0hShmbC+4TJ05Qt27dG87XqVMHtVptl6CEEPaRmm1g6KoDPPTuLvSaLJZ9+QZ3HTmAxS+AKWM+5Lu7Wypz4yKDZc22EKWE5FohKrYUTS46g0UptludOci4XUuV8UbDV3FvvVrKcVxUYQ6XNdtClD42v1Lu7+/PqVOnqFWrVpHzarUab2/5Ry5EaXFRZ+RMRi7x94fxYpQnsc0iAdC6e9P/qTdp+VBbFocGYMorIMDTlVrB3lQP8CzhqIUQILlWiIosXWfElG/lgs4IgFuehVmb5yrjjYevROvpi7e7CwueaULNSl74ebhIsS1EKWXzE+7OnTszYsQITp48qZxTq9WMHj2azp072zU4IcStScnU88oXB3n6419446PtxLZppIy9N2Y++4LCmb9DzYBle/n812TCpdgWolSRXCtExZVrykNvyQPANd+C2cWVl7qO59u7W1Fn1BqyPf2UeSt/OSvFthClnM27lGu1Wjp06MDevXupUaMGACkpKcTFxbFu3ToCAgIcEectkx1ORUVzPkvPmLWHSFJr8Dbp+XPutTXbi58dQ60JowDw9XAlyNuNYB83/L1k3bYQ9mCvnFPWcq2jSA4XFdGfqVouG/I4s34zD04fS79O44rstwKFy8AebViNmIggwqTYFuK2lapdyv39/dmzZw/btm3j999/x9PTk4YNG9K6dWu7BiaEsJ1Wb+asRk+SWoOX2cCSNZOVsYntB/PZXa1ZDAxYtpfvR7UhIsTnptcSQpQcybVCVFx6Uz53Lf2QFtMmAfDGoQ081W60Mh4TGcTUrvXwdnMhRPZdEaLUs7ngBlCpVLRv35727dvbOx4hxG3IyDGTbbAQnJvFmk/HUCs7DZ27N8/2fJND1e4GwJRXQOuoYIJ95Km2EKWZ5FohKg6t3kxGjhmd0ULYikVUuVJsA/z0xmwWR1XHlFeAu4sT6ZdNVPKSt9OEKCuKVXC///77vPDCC3h4ePD+++//69zhw4fbJTAhhO10RgteJgN75/dWzvV+aqpSbAMEeLoyo0dDSdRClDKSa4WomJIz9Uy80v6r396NvPH9/5Sxwe9uZvOeVNiTCkBcZBAJ3SWHC1GWFGsNd3h4OHv37iUoKIjw8PCbX0yl4tSpU3YN8HbJ+i9RkZw6fRHXLo8TengvAK+1G8SKJo8r43FRwcx6spG0/hLCQW4n55TlXOsoksNFeXdOk8uE9YdJVGvou3cTk79fpIyNeO9bOrWLBlA6itQM8uKuQK+SCleIcqvE13CfPn36H78XQpSsizojWblmdMY8AvIN1Owbj/vhveT5+DJ12BxWFFRV5sZGBpEgfbaFKLUk1wpRsZzV5JKSZSBRraFx6rEixfZ9Qz9Fk5rPoABPjJZ8fD1cZZNTIcoom9uCTZ06Fb1ef8N5g8HA1KlT7RKUEOK/JWtyGfXFQTq8l8igOVu4O6oG7kmJFPj4MveV9/FrG8viPk1Z8EwTVg5szoweDalRSe6KC1EWSK4Vony7qDMyaf1htAYLAM//uk4Zazp0BRrvAACMlnwahwUSEeIjxbYQZZTNbcGcnZ1JS0sjJCSkyHmNRkNISAj5+fl2DfB2yetoojy6qDMy6ouDJKk1VNJr2T/vGWVs9tCZxL85FIM5n8tGi9wVF+IOslfOKWu51lEkh4vy6q80HR3eS2RFxxr0/jYFd4uJEUmrmNeqJ3o3T2WedBQR4s5wZL6x+Qm31WpFpVLdcP7333+nUqVKdglKCPHvsnLNJKk1eFiMrFo1Xjn/5oMDmeddF53BQkSIj9wVF6KMklwrRPmk1Zs5mZ6D1mBhU41LtOjUmtlH1mNydWdG275Fiu046SgiRLlQ7LZggYGBqFQqVCoVd999d5FfBPLz88nJyWHQoEEOCVIIUehq2xCtwYKHxcjitVO5JyMZgCkPPc+Spl0A0BnzSjJMIcQtklwrRPl1PlPPjycuEeLnQcjny2kwdQwAHdOPsKnjc+w6e1mZGxcZzFvdGsgNcyHKgWIX3HPnzsVqtdK/f3+mTJmCv7+/Mubm5katWrVo2bKlQ4IUQkBKpp7xV9qGLOtSm7/efQKAHDdPnntyKvtr3KvM9fMo9j9tIUQpIrlWiPIpNUtPcpaerw+nEbrmM6Zvna+MHZ2/hL4+ATxnLdyN3N/TlbBAT0Jl3xUhyoVi/1bep08foLBtSUxMDC4u8gu9EHfK+Sw9Y9cdIkmtwd1iok2ruspYnyenFCm2YyODCPSWO+JClEWSa4Uofy7qjGQbLMz/QU2NtSuLFNvNhizn7oNZjO1Qhc7zk4iLDGZat/qEBnmXYMRCCHuyeQ23r68vR48eVY43btxI165dmTBhAmaz2a7BCSEKXyM/q9ErxfbHa99UxlZ1H8y+GteK79jIIN6W1l9ClHmSa4UoH1KzDZxMzyGvwEqNtSuZsWWeMnb/4GVc8qlEklqDs5OKLS/HMeupRtSUYluIcsXmgvvFF1/k+PHjAJw6dYqePXvi5eXFl19+yZgxY+weoBAVXUaOmWyDBT9jDp+ufo24swfJdfXg2T7vcP7F4Szu05QvXmzBlpfjmP1UY8IkUQtR5kmuFaJsS9cZOX0pB02uCRdnJ3z+/L1Isd188FLSfYOUY4M5nzrV/OSGuRDlkM3vqh0/fpzGjRsD8OWXX9KmTRtWrlxJUlISvXr1Yu7cuXYOUYiKSas3k37ZRLbeQrizmUPv9QKgABV9nprC3qr3snuHGpC2IUKUN5JrhSi7UjS56Ex5JGw+SqJaA0CPw9/zjkqFk9VK25dXcNEjsMjP+Hu6lkSoQog7wOaC22q1UlBQAMD27dt5/PHHAQgNDSUjI8O+0QlRQV2/QZqPSc8fc59Sxk6Om8IR14ZgLuzDK21DhCh/JNcKUTal64xcNuXx1uajJKk13HPpDBd9KrG2wUPoPLyxtm3L4/fUYP6VG+ZQmMdDfN1LMGohhCPZ/Ep506ZNmTZtGitWrGDXrl089thjAJw+fZoqVarYPUAhKprULD2JJy7RNyacD5+oy669C5WxL7q+yG9dn6N/bDhQuGY7QdqGCFHuSK4VomwyWvIpsEKSWkPXP39g6ydDWfn5RAL1WrZFtWD7eSPRoQHK/LioYGb2aCh5XIhyzOYn3HPnzuWZZ55hw4YNTJw4kcjISADWrFlDq1at7B6gEBVJus6IMa+Arw+nsfevNBatm0bQ6f0Y3Tw4+XoCk011mOfnQf27/GlVO4iaQV7cFShtQ4QobyTXClH2nNPkkpJlQKVS0f2P73n3mzkA+Jj05Dlf+5Xb18OV1S+0INDLjSp+7lJsC1HOqaxWq9UeFzIajTg7O+PqWrrWoOh0Ovz9/dFqtfj5+ZV0OELcVEqmHp3RQsLmoxz8M5nDc3sCoHd1p98Tk3F5sC3RYYHUreZHiK87USE+kqSFKGUcnXNKa651FMnhoqxIvrIULEmt4ZvA09QbN0wZa/XSJ6T6hSjHKwc2JzzYm2oBniURqhDiHzgy39j8SvnNeHh4VJhfAISwt7OaXMauO0Sa1sivf6XxzZLhylj/J97gl7AGJKk1RIcG4O7iRKCXmxTbQlRAkmuFKH20ejMTrxTbXf78oUixHTOoaLEdFxVMRIiPFNtCVCA2F9z5+fnMmjWL+++/n6pVq1KpUqUiX0II21zUGZm0/jBJag0WvYGF698mTHsRgPdaxfNzWMMi89Mvm2STNCHKOcm1QpQNWr2ZNK2RRLWGzkd28t7Xs5Wxl6ev47z/tWL76r4r0vpLiIrF5oJ7ypQpvPvuuzz11FNotVpGjRpF9+7dcXJyYvLkyQ4IUYjyS6s3k5lrVnYjb9M5jgdP7cXg4k58r7eYE/dMkflV/Tx44O7K8nRbiHLO3rl2wYIFhIeH4+HhwX333UdiYuJN5+7evZuYmBiCgoLw9PSkTp06zJkz54Z5a9eupW7duri7u1O3bl3Wr19/W58rRFlzPkvPn6k6svQW7r50hve/mqWMPTxsKaHRdVncpymrnm/BN8NimdGjITUqyb4rQlQ0Nhfcn332Gf/73/945ZVXcHFxIT4+no8//pjXX3+dn3/+2RExClEupWYbGLryANl6C95XWn95pqYAMKDHa/xUs1GR+XFRwQT7ulNVXkMTotyzZ65dvXo1I0aMYOLEiRw4cIC4uDg6duxIcnLyP8739vZm6NCh/Pjjjxw9epRJkyYxadIkFi1apMz56aef6NmzJ7179+b333+nd+/ePPXUU/zyyy+3/LlClCUpmXrOaPRkGyz4eLigd/PknH8VMj39iH3xY9RewczfoWbAsr1YrVYCvd1kk1MhKiibN03z9vbm6NGjhIWFUa1aNb755huaNGnCqVOniI6ORqvVOirWWyIbrojSSKs3s/nwBUL83KnmrqJuxLU2P6dfeJlJzXqRpNYo5662DZE1X0KUbvbKOfbMtc2bN6dJkyYsXHitxeC9995L165dSUhIKNY1unfvjre3NytWrACgZ8+e6HQ6vv32W2VOhw4dCAwMZNWqVXb7XMnhojRK1uQycf1hEtUaoi6dZVBtV9ZXacCp/UfJcfNC5+GjzL36GnlokHcJRiyE+C+latO0GjVqkJaWBkBkZCTfffcdAL/99hvu7u42XSshIYFmzZrh6+tLSEgIXbt25dixY8q4xWJh7NixNGjQAG9vb6pXr85zzz1HamqqrWELUWpc1BlJ0xkJ8XPHyWKm8sDeytgHLZ7ksSodiA4LZHGfpizu05StI+KYHx8txbYQFYi9cq3ZbGbfvn20b9++yPn27duzZ8+eYl3jwIED7NmzhzZt2ijnfvrppxuu+cgjjyjXvNXPNZlM6HS6Il9ClCbnNLmMv1JsP/rXbrZ9MoTOrw9mpPN5aje5t0ixHRcVzNvdG0qxLUQFZ3Mf7m7duvH999/TvHlzXn75ZeLj41m8eDHJycmMHDnSpmvt2rWLIUOG0KxZM/Ly8pg4cSLt27fnyJEjeHt7o9fr2b9/P6+99hqNGjUiKyuLESNG0LlzZ/bu3Wtr6EKUuOvvirvmW1iwIYHK6l8p8PBgzoCpzPOpC+Z85u9QExcZzFvd6hMmiVqICsdeuTYjI4P8/HyqVKlS5HyVKlW4cOHCv/5sjRo1uHTpEnl5eUyePJmBAwcqYxcuXPjXa97q5yYkJDBlypRi/dmEuNNSsw0kZxlIUmvo+NduFmycDoBrQR5DjxTQo10gYzvWIceYT6CXK9X8PWTPFSGE7QX39OnTle+feOIJatSowZ49e4iMjKRz5842XWvLli1FjpcsWUJISAj79u2jdevW+Pv7s23btiJz5s2bx/33309ycjJhYWE3XNNkMmEymZRjuTsuSouLOiPjr+xG7mU2cGTOkwAYXdyYP3Qm0f2fYjHg6+GKj4cLvm7OcldciArKnrkWQKVSFTm2Wq03nPu7xMREcnJy+Pnnnxk3bhyRkZHEx8fbdE1bP3f8+PGMGjVKOdbpdISGhv5rnELcCeez9OiMeTipVHxV/SINZlz7N9rmhUWkOXsxf4eautX8CPCUYlsIcY3NBffftWjRghYtWtgjFmVN2r+1PNFqtahUKgICAv5xXO6Oi9Lo6m7kScqT7WuJemjnsWx3rs1iYMCyvSzu05STl3J4tH7VkgtYCFGq3GquDQ4OxtnZ+Yanyunp6Tc8ff678PBwABo0aMDFixeZPHmyUnBXrVr1X695q5/r7u5u8/I0IRwtOVPPxHWHSFRreOTYHj7a8LYy1mHIYs76XPtv2t/TlZpBXlJsCyEUxSq4N23aVOwL3sqddyi86z1q1ChiY2OpX7/+P84xGo2MGzeOp59++qaL2eXuuChtUrMNjF17iPj7w3DNtzB/4wzant4HwDtxvdke1RwAU14BUNj6q141P0nWQlQwjsi1bm5u3HfffWzbto1u3bop57dt20aXLl2K/XlWq7XI22MtW7Zk27ZtRV5v/+6772jVqpVdP1eIkpZyXbEde/pAkWJ71LQveLhZQ/7aoQYK12zXrOQlu5ELIYooVsHdtWvXYl1MpVKRn59/S4EMHTqUQ4cOsXv37n8ct1gs9OrVi4KCAhYsWHDT68jdcVGaXNQZOZORS/z9YdT0hBOzCn/xNDm7MrDHaySGN1Hmurs4Ka2/qvh5lFTIQogS4qhcO2rUKHr37k3Tpk1p2bIlixYtIjk5mUGDBgGFN6rPnz/P8uXLAfjggw8ICwujTp06QGFf7lmzZjFs2DDlmi+//DKtW7dmxowZdOnShY0bN7J9+/YiOfy/PleI0u6sJpeULAOJag1VLmcw9+trfbbbPv8RZy57sTg0ACjcjfytrvWlz7YQ4gbFKrgLCgocGsSwYcPYtGkTP/74IzVq1Lhh3GKx8NRTT3H69Gl27NghrUFEmZCSqWf8lbviHhYjf737hDI2tOcbJIY2Vo5jIoNIv2xiZo+GUmwLUUE5Ktf27NkTjUbD1KlTSUtLo379+mzevJmaNWsCkJaWVqQ3dkFBAePHj+f06dO4uLgQERHB9OnTefHFF5U5rVq14vPPP2fSpEm89tprREREsHr1apo3b17szxWiNLuoMzJp/WHimxf+95ruU4nvoloQnXqMF7pP4lxA4bIvLzcXPhvYnLBAT9l3RQjxj2zuw309o9GIh8etFwdWq5Vhw4axfv16du7cSVRU1A1zrhbbJ06c4IcffqBy5co2fYb08BQl4XyWnjFrD5Gk1uCSn4d6VldlbMtDT/HHmKnMv/oKWmQwU7vWo5KXm7xGLkQZ54icc7u5tiyTHC5Kyl9pOjq8l8iq1gEcfX0m0x4cgFWlwsds4LL7tcL625fj8Pd0pbq07hSiTCtVfbjz8/N58803ueuuu/Dx8eHUqVMAvPbaayxevNimaw0ZMoRPP/2UlStX4uvry4ULF7hw4QIGgwGAvLw8nnjiCfbu3ctnn31Gfn6+MsdsNtsauhB3hFZv5qxGrxTb72+aqYwtua8Tg5o+xyP1qrDgmSZ8+3Ics55qRHiwjxTbQgiFPXOtEMJ2OmMeD6l/oeVjsfTft4kRu1diVTkVKbbjIoPx83CRYlsI8a9sLrjfeustli5dysyZM3Fzu1YgNGjQgI8//timay1cuBCtVkvbtm2pVq2a8rV69WoAUlJS2LRpEykpKTRu3LjInD179tgauhB3REaOmWyDBbc8C+999Q6PHt+DydmFvk9MZsrDha9knss0sOrXZKr7e8gr5EKIG9gz1wohbFf9x20sXvumcnzkyT5FxuMig3mrewPZIE0I8Z9sbgu2fPlyFi1axEMPPVRk45OGDRvy119/2XSt/3qbvVatWv85R4jSQqs3k5FjRpNrJtTXleOzr26Q5sKL3SayM6KpMtff05U3u9SXp9pCiH9kz1wrhPh3Wr0ZncFCjjkfncFC9aQdhPbtpYx3GvQhberVZnGHAEx5BYWtvyp5yQZpQohisbngPn/+PJGRkTecLygowGKx2CUoIcqa6zdIcy7IZ/PPC5WxmW36sjOimXIcFxWMs5OKQC/XkghVCFEGSK4V4s5IzzagzyvgtQ2HSVRraHvyN5aumaKMj538GYcN/hy+bt+Vt7rJbuRCiOKzueCuV68eiYmJN+wy+uWXXxIdHW23wIQoK85n6vnxxCX6xoTz9H130WTCUKokbqHA1ZVP4l9hcbUYZW5sZBDjO9aRDdKEEP9Kcq0QjqfVm9HnFTBxw2GS1BoiM5KLFNuvv7mSYUO60M+Yh86Yh5+HC4HebrIUTAhhE5sL7jfeeIPevXtz/vx5CgoKWLduHceOHWP58uV8/fXXjohRiFIrNUuP3pLPN4fT2PtXGsdmdwcgz9mFP99bTO7dzfmqTgjnMg0EeLpSI9ATf09XKbaFEP9Kcq0QjpeZayZNa1Q2Of3fumtrttv3n8/xHD/ijXncW012yBdC3DqbN03r1KkTq1evZvPmzahUKl5//XWOHj3KV199Rbt27RwRoxClklZfuDna1K/+LFJsAwzuPJaZrlFY8q0YzAXcU8WXetX9CAvylmJbCPGfJNcK4VhavZkccx7ZBgtYreQ5uzCx/RB+rxpFsyHLOV65FgCXjbKEQwhxe2x+wg3wyCOP8Mgjj9g7FiHKlIwcM3kFVvYcT+fXBX2V8583bM93d7cEtYb+MeEEebsREeJTcoEKIcokybVCOMZFnZHMXDN6Uz4RuousX/EKox4fxZ5ajelasyFW1bXnUb4est+KEOL22PyEWwhRSGe0oM818e7X7xJk0AHwRYOHGddxeJF5wT7yRFsIIYQoDZI1uYz64iAd30tk3viF3BMbTXTaMaZ+V7jZ6fXFdlxkMP6eUnALIW7PLT3hFkKAn5OVoJd60+LoLixOzgzpMq7wyfZ1agR6yivkQgghRCmQmm1g/PrCDdJizhzk0y9eU8Y+HzYNLl2bGxsZxLRu9ake4FkCkQohyhMpuIUoJq3eTLbeQq45j1yDmWaRIcrY0C5jbyi246KCqSo7mQohhBAl7nyWHp0xj2ea1+QV5xSiZ0xSxro/P59WDSL5ql4VZZPT0EBPQoO8SzBiIUR5IQW3EMWQlm3gbKaeeTtO8NPxdGZtnsvVztraPgPQx3YCtUaZHxcVzMweDeXpthBCCFHCUjL1jF13iCS1hpZnf2fV5xOVsR4D57G/Ui3271ATExFMgKcrNYO8uCtQ+mwLIexDCm4h/oNWb2bn8Ut8fSiVn46n887muXT/8wcsTs6MePwVTA/04O3H63LZlIfenI+/pyshvu5SbAshhBAl7KLOSHKmnmea12RILWdatbtWbE94bSktY1uwb4cagAAvV6r7e0j+FkLYlc0F96hRo/7xvEqlwsPDg8jISLp06UKlSpVuOzghSoOMHDMhvu78cuwip2Z1BSBP5cTQzmPZek8rOJrO+I73Ure6f8kGKoQoNyTXCnF7tHozWoOFlCwD2QYLHq7OBE19XRnvMXAe+8zBLA4NAArXbFfydpNiWwhhdzYX3AcOHGD//v3k5+dzzz33YLVaOXHiBM7OztSpU4cFCxYwevRodu/eTd26dR0RsxB3hFZvJiPHjCbXTIiHE+orxTbA1IeeLyy2r5A+nUIIe5JcK8StS8s2kKU389bmoySpNXiajRjcPHj4idG86e/NOw/2o2W9SPbtUGPKKyA2Moi3uzWgiuy7IoRwAJvbgnXp0oWHH36Y1NRU9u3bx/79+zl//jzt2rUjPj6e8+fP07p1a0aOHOmIeIW4I1KzDQxddYCH3t1Fr4W7yXyogzL2Tb02LL+vU5H50qdTCGFPkmuFuDVavZmdxy6RcKXYvvvSGb77ZAh99n3F9lQTr3R5her1Iom+8mQ7PNibmU80Ikw2SBNCOIjNBfc777zDm2++iZ+fn3LOz8+PyZMnM3PmTLy8vHj99dfZt2+fXQMV4k7R6s2MXXuIxBMZOBXkM+PbebQ5vR+A3S06cPTdj4rMbx0VLL22hRB2JblWiFuTkWMmxM+dRLWGZuf+4LtPhhKqvUiffV/hYTGSpNYQHRqgPNn283CR1l9CCIeyueDWarWkp6ffcP7SpUvodDoAAgICMJvNtx+dECUgI8dM4okMnAvy+XrZCJ78Yzt5KicGdxnHs22GKnfFoXA38hmyG7kQws4k1wpxa3RGC6a8Apqm/MmXK8cp5wc88QZG18JXxk15BQR4ujK9e0PZjVwI4XA2r+Hu0qUL/fv3Z/bs2TRr1gyVSsWvv/7KK6+8QteuXQH49ddfufvuu+0dqxB3hM5oQWUt4Mi7T+CeX7g2++VOr7K5TiwAfh6urBnUUnYjF0I4jORaIWxzdd8VdxcnQn7/jTWfjVXGuvaezelKdynHAZ6uRIT4yJptIcQdYXPB/dFHHzFy5Eh69epFXl5e4UVcXOjTpw9z5swBoE6dOnz88cf2jVSIO8TPzZnp385Tiu0td7fkm3vjlPFK3m5EhPiUVHhCiApAcq0QxZeSqSc5U0+2wULt4wdp2ruLMtbt2VkcrH6PchwbGURYJS8ptoUQd4zKarVab+UHc3JyOHXqFFarlYiICHx8SmcBotPp8Pf3R6vVFlkLJ8T1rt4Z1+UYiJowAp/VK8lXOTHi8dF8VbeNMq91VDDz4qPlqbYQ4h/ZO+eUlVzrKJLDxX85q8ll0vrDJKo1VNNd4qeF/ZSxtyZ+zP/yqirHcVHBvNW1vmyQJoS4gSPzjc1PuK/y8fGhYcOG9oxFiBKRmm1g7NpDJB27yKl3rt0V/3DgZL6q1EQ5bi3rtYUQd5jkWiFuLiVTT0qWgfjmNekXW5u8Dz9UxqaO/Yj44U/RNa8AvSkfX08XAr3c5Mm2EOKOs7ngzs3NZfr06Xz//fekp6dTUFBQZPzUqVN2C04IR7u6I/nfi+0vojtQaWAfttUMJNeUh6+HK8E+blJsCyHuCMm1Qvy7ZE0uE6882Q65rCHH3Yvo+u0JnezF0MwQThJEjEZPkLcbzcIrlXS4QogKzOaCe+DAgezatYvevXtTrVo1VCqVI+IS4o7IyDGz+3g6CVs/UM59H9GMMe2HwrrDfD+qDY3DAkswQiFERSS5VoibO6fJVZ5sD/fXUveFUfzlW5XnerzBtHqxdGwZyPwdakx5Bfh6uJZ0uEKICs7mgvvbb7/lm2++ISYmxhHxCOFwWr2ZbL2FXHMeuQYLv55bS+VD3wGwPPoxXm//kjL3stFSUmEKISowybVC/LNzmlzOZRnINliofPR3mvXsCEADawFVCgr7bPePCQcKdyMP9pE304QQJcvmgjswMJBKleTVHFE2pWUbOJupZ96OE/x0PJ2jV1p/FahUHJ0+j+k5EWDOV+bLnXEhREmQXCvEjc5qcpmw/jBJag0N046zafkoZWz24Ok82vZ+5cl2XGQwYZW8ZCmYEKLEOdn6A2+++Savv/46er3eEfEI4TBavZmdxy8xb8cJkk5ksOKL15TWX6MfHcn0SvfRPzZcmd86KljujAshSoTkWiGKSsnUM+lKsd0g7USRYvvNVxfg2rYN0aEBAPh7ujKtW31qVPIqoWiFEOIam59wz549m5MnT1KlShVq1aqFq2vRJ4D79++3W3BC2FNGjpkQX3eSTmTw5raFxJw9BMCPtaJZX/9BUGvoe+U1NNmRXAhRkiTXCnGNVm8mOVNPolpD/Qtqvlo+UhnrGZ/AL05hLA4NUJ5s16zkJcW2EKLUsLng7tq1qwPCEMLxdEYLJnMei9a/RfsTP1OAilceG8G6+g8pc3w9XPl+VBvZkVwIUaIk1wpxTUaOuXDNdk4mXy8boZzvFf82v4Q1AMCUV0CApytvyZNtIUQpY3PB/cYbbzgiDiEczs/NmejGNZTjVx8tWmwDBHm7ERHic6dDE0KIIiTXCgEXdUaycs1oDRZCK3nhZ8zlkncAlXOz6RX/Nj+HXetRH+DpSmigJ6FB3iUYsRBC3MjmgluIMslqJaKav3L4Y61o1jYoWmzLmm0hhBCidEjW5DL+yprtyjmZjIh0pVqLxvQiAZOLKykBVZW5sZFBUmwLIUqtYhXclSpV4vjx4wQHBxMYGPiv/UAzMzPtFpwQt0OrN5ORY0ZnMBM+bSIBV87r7m/JR8+/C2qNMjdO1mwLIUqY5FohCl3UGZViu+7FU2xeOhy9qwd3f7Ka91o0Zvf1+TsymGnd6kuxLYQotYpVcM+ZMwdfX1/l+3/7JUCIkpaabUBrsKAzWPDzcCF06gQCPvmIApWKnEmTsY4bx9tX+nDrzfn4e7oS4usuxbYQokRJrhWiUFaumSS1hnvTC4ttAC+LkUk/Z9Cu8z2M7ViHc5kGAjxdCZMN0oQQpZzKarVaSzoIR9LpdPj7+6PVavHz8yvpcISDndXkMmn9YRLVGlTWAk7P7KyMJfR4haMdn2BefLQU10IIh5CcY1/y91mxXL9mm8OHaN71QWXs2afeZHd4NABfvNiCIG932eBUCGE3jsw3Nvfh3r9/P4cPH1aON27cSNeuXZkwYQJms9muwQlhi3OZeiZcKbaxWnlr6wJlbEXPETw2dyI/nsggI0f+OxVClG6Sa0VFk6zJZdQXB+nwXiJvTFtVpNge+PQ0pdgG8PNwJSLER4ptIUSZYHPB/eKLL3L8+HEATp06Rc+ePfHy8uLLL79kzJgxdg9QiOLQ6s2cy9STdKXYfm3Hxzz9+xYAtkc047VaD+PiXPif+2WjpSRDFUKI/yS5VlQkqdkGZc12ZEYyW5YMU8amvzyHOn2eUI5jI4MI9JZCWwhRdthccB8/fpzGjRsD8OWXX9KmTRtWrlzJ0qVLWbt2rb3jE6JYLuiMZBssYLXy7ZJhDNi7EYBxjwxl4BOF7XUuGwoLbV8P1xKLUwghikNyragoUrMNyprtAIOOReumKWN9npzChx5RRIcGAIXF9tvdGlDFz6OEohVCCNvZ3BbMarVSUFAAwPbt23n88ccBCA0NJSMjw77RCVEMWr2ZlCwD7s4qzszspJwf/8hQPm/cQTn29XSV1l9CiDJBcq2oCLR6M2PXHGLwA5EA5Lh5cTQkHD9TLsM6j+Gnmo0A8PVwYcvLcQR6u0mxLYQoc2wuuJs2bcq0adN4+OGH2bVrFwsXLgTg9OnTVKlSxe4BCnEzWr2ZbL0FvSUfrFbaNA5Txg5XiWDVdcV2XGQwKpDWX0KIMkFyrSjvtHozmblm+sbUopJey6Cf1/Bh8x683OlVKudmkeZXWZnr6+FKnWqyaZ4QomyyueCeO3cuzzzzDBs2bGDixIlERhbelVyzZg2tWrWye4BC/JO0bANnM/XM23GCZ+4Po/Kbr+FiKXxl/ExoFJ2enqPMjY0MYlq3+ni5OlNZ7owLIcoAybWiPLuawz/YcYLUnw/y/eKXGAd4mQ2827p3kWI7NjIIHzfnkgtWCCFuk93aghmNRpydnXF1LV3rY6WlSPmj1ZvZ/McFvj6UStKJDHZlfEvNTwp3JP/smdGkPfc80aEBmPIK8Pd0JTTQE09nJyoHeJZw5EKI8s7ROae05lpHkRxe/qRmGzCY85m86Q+l2L7qlTdXsybHWzmOjQxicuf6VJb2X0IIB3NkvrH5CffNeHjIk0NxZ2TkmAnxdSfpREaRNdtTOw7B67pi293FieRMPVEhPvJkWwhRLkiuFWVZsiaX8esP0z8mnNRfihbbI5+ZwuM92tDHzx29KR8fdxecnFT4ujlLsS2EKNNsLridnJxQqVQ3Hc/Pz7+tgIT4LzqjBZMln7G7linnUp56jmPtniVph1o51zoqmBk9GhIixbYQooyRXCvKm7RsAzmmPMZ2qIP1r7/4/uNrxfbA7q+xvcZ9rF+2F4DFfZoS5OOGn4er5HAhRJlnc8G9fv36IscWi4UDBw6wbNkypkyZYrfAhLieVm/mgs6IzpCHt5sTLRfP5tFf1gDwWeMOvHVPPP3DAukfE44pr4Dawd5U8/eQu+JCiDJJcq0oT9KyDZzV5DLvBzV//X6SffOfVcZ+n7eUPelVwHztJlKQjzs+bi5SbAshygWbC+4uXbrccO6JJ56gXr16rF69mgEDBtglMCGuSs7UM3HdIRLVGrBa+f29XvibcgF4s8NgFjd6FMz5zL/ydLt1VDDz4qOl2BZClFmSa0V5odWb2Xn8El8fSuWn4+msX3PthtEL3SaS63EP/WMDlRweFxVMNX8Paf8lhCg3nOx1oebNm7N9+3Z7XU4IAM5pchl/XbF9ZmYnpdj+7KmXiZw8psj8uCuvkUuxLYQojyTXirJEqzeTpjUW7rui1lDg5MyCFk9y3rcyj/WZy3d3tyRJrSE6NAAozOEzezSUYlsIUa7YZdM0g8HAvHnzqFGjhj0uJwQAKVl6krMMJF0ptr9YOVYZOxVYnYnh7VhTxZdvX44j15SHv6crIb7uUmwLIcolybWiLEnNNjB27SHi7w/DVZvFBxsSePPB59l6Tyt21r4Pk6u7Mtfb3YWtI+Ko6idLwYQQ5Y/NBXdgYGCRjVysViuXL1/Gy8uLTz/91K7BiYpLqzdz2ZiH1mABq5VRiZ9yf8oRAM4EVOPBFxYBkH7ZRLDVyv3hQSUZrhBC2JXkWlGWafVmxq49ROKJDF66y0qrji0BCMnJ4slnZhQptgECvVy5p6q0fRNClE82F9xz584tcuzk5ETlypVp3rw5gYGBNl0rISGBdevW8ddff+Hp6UmrVq2YMWMG99xzjzLHarUyZcoUFi1aRFZWFs2bN+eDDz6gXr16toYuypAsvRmt3oK7s4pxu5Yy6Je1AEx56HmWNL22ttHdxQlfj4rRj1YIUXHYM9cKcadl5JhJPJFBWFYarTo+rpyf8MgQ+Nvu+3FRwVSVV8iFEOWYzQV3nz597Pbhu3btYsiQITRr1oy8vDwmTpxI+/btOXLkCN7e3gDMnDmTd999l6VLl3L33Xczbdo02rVrx7Fjx/D19bVbLKJ0uLobeV6+FW8PZ5rUD+Mhox6AqQ8WLbbjooJJ1xm5t5rcFRdClC/2zLVC3ClavZmMHDOaXDNhWWn8uOh5Zez4e/8jxKs+J9Qa5dzVNdvyGrkQojyzyxruW7Vly5Yix0uWLCEkJIR9+/bRunVrrFYrc+fOZeLEiXTv3h2AZcuWUaVKFVauXMmLL75YEmELB0nNNjB2zSES1Rl8/nwLQt5NwO1Ksa0Or8snza4V27GRQbzRqS5uzk5UD/AsqZCFEEIIAaRk6pVNTj97sHKRYntU93HUrNeasfeEAGCyFBDgJfuuCCEqhhItuP9Oq9UCUKlSJQBOnz7NhQsXaN++vTLH3d2dNm3asGfPnn8suE0mEyaTSTnW6XQOjlrYg7LeS50BQNi8mVRfMBuATZ0HcHzIqywODcCUV4C/pyuhgZ64OztRRYptIYQQokSlZOk5m6knvnlNnm9QiZgW15YGDuv0Kl9FxcK2E8zZdkJadwohKpxSU3BbrVZGjRpFbGws9evXB+DChQsAVKlSpcjcKlWqcPbs2X+8TkJCAlOmTPnHMVF6XV3vBXBsVlfc8/MAmNPhBRpOn8ojfu7kGPMJ8XMm15SPv6erJGshhBCihF3/ZBvg3a9nK2MfvTCVrwKbKMetpXWnEKICKjUF99ChQzl06BC7d+++YUz1tw02rFbrDeeuGj9+PKNGjVKOdTodoaGh9g1W2JVWb8aUl8+CZ5rQIToUp/x8AM4905/9bfvx3rK9ylxZ7yWEEEKUDlq9WSm2nQryKXBy5q0HBlDtcgYb+42hXc92LAZ8PVwJ8nYj2MdN8rcQosKxueA2GAxYrVa8vLwAOHv2LOvXr6du3bpFXv22xbBhw9i0aRM//vhjkf6iVatWBQqfdFerVk05n56efsNT76vc3d1xd3f/xzFR+lzt05l4IoM3tn+kFNvmSkF0q9OLXmGB9I0Jx9vdhYICKxEhPlSR3UyFEOWcI3KtEPaWkWMmUa3B33CZT9ZMYUWTx9hQ7wHie70NRhXtgAHL9vL9qDZEhPiUdLhCCFEinGz9gS5durB8+XIAsrOzad68ObNnz6ZLly4sXLjQpmtZrVaGDh3KunXr2LFjB+Hh4UXGw8PDqVq1Ktu2bVPOmc1mdu3aRatWrWwNXZQiWr2ZExcvczRNR7+YcD69sI1++74CINU3mH4zvqbX/WHM36Hmk6TTnM7IJTzYW4ptIUSFYM9cK4QjaPVmMvVmquvS+f39eO5L/YuJOxbjY9Irrb9MeQXERQUT7CNPtYUQFZfNBff+/fuJi4sDYM2aNcp66uXLl/P+++/bdK0hQ4bw6aefsnLlSnx9fblw4QIXLlzAYDAAha+Sjxgxgrfffpv169fzxx9/0LdvX7y8vHj66adtDV2UEimZeoau3E+7OT8yYNle0uL7ELvsPQBmP9iPVoOXkqTWEB0aQFxUMG91bcCj9atSTTZIE0JUEPbMtULYk1Zv5tgFHXvPZuGXnsqehf2VsSFdx5Hj7qUc+3u6ktCtgbxGLoSo0Gx+pVyv1yv9r7/77ju6d++Ok5MTLVq0uOlGZjdz9S5927Zti5xfsmQJffv2BWDMmDEYDAYGDx5MVlYWzZs357vvvpMe3GVUapaeH09com9MOPHNaxLz7GP4HzoAwOfdX8L64suwQw0UJur5spOpEKICsmeuFcJert8grZruEj8t7KeMjes8ml9D6yvHcZHB1Azyokag1z9dSgghKgybn3BHRkayYcMGzp07x9atW5W1ZOnp6fj5+dl0LavV+o9fV4ttKHzKPXnyZNLS0jAajezatUvZxVyULWnZBvTmfL45nMaAZXv5Y+g4pdg2B1Riar3ORIcGKPMDvWRzFSFExWTPXCuEPZzP0jP2SrFdVZdRpNj+qO8kgodc67sdFxVMQvcGUmwLIQS38IT79ddf5+mnn2bkyJE8+OCDtGzZEii8Ax8dHW33AEX5cFaTS64pj4TNR0lSaxj80xeM+bFwfeLM1s/xe++X6B8WiCmvAChsHSJrvoQQFZXkWlGaaPVmzmr0JKk1+Jj0/LywrzL2aseX+bJKC76pX5W61fyoFeTFXQGecsNcCCGusLngfuKJJ4iNjSUtLY1GjRop5x966CG6detm1+BE+XA+U0+SOoNGNQJIVGs48F48gcbLALwT15sFLZ8CtYb+MYWb5kmfTiFERSe5VpQWWr2ZNK2RbIMFgC5Hdipjr3YczpcN2wFw2ZjH4M/28/2oNpK/hRDiOrfUh7tq1ark5OSwbds2WrdujaenJ82aNbtpb2xRcWn1ZgyWwtfIawf7sP/9p5Vi+0C1e/igVc8i8yMr+zBP1m0LIYTkWlHirq7Zjm9eEy+THrc8C5817kglvZYdEc34s2qkMtfLzVneThNCiH9g8xpujUbDQw89xN13382jjz5KWloaAAMHDmT06NF2D1CUXVq9mTSdkbOZegbE1qbm4nlUMugAMDm70u252UXm1wj0pGawtxTbQogKT3KtKGnXr9n2zbpEnfjOrP7uHdzy85gXE1+k2I6LDMbFSSVvpwkhxD+wueAeOXIkrq6uJCcn4+V1bTOMnj17smXLFrsGJ8quq62/OsxNZMCyvfz00niqJUwB4GjlWtzzyvoi8+OigqkqPbaFEAKQXCtK1vVrtivnZBLXphFV1UdoeGwfXfyNRebGRgYx/tE6BHq5SftOIYT4Bza/Uv7dd9+xdetWatSoUeR8VFSUtCoRwLW74klqDQBLv3iDtqf3AXDu5bG8Xb8bqDOU+XFRwcyUu+JCCKGQXCtKUkaOmWyDhco5mfz2wXPK+SW9x1KleTSLQwMw5RXg7+lKJS83fN2dpdgWQoibsLngzs3NLXK3/aqMjAzc3d3tEpQou66/Kw4w9buFSrE9NyaeRX5t+bzDPfS9XAtTXgHhwd5U9/eQYlsIIa4juVaUBK3eTEaOGU2uGd+sjCLF9pRHh+L91NNEXym2w4O98XBxwtvdhRB5Q00IIW7K5lfKW7duzfLly5VjlUpFQUEB77zzDg888IBdgxNly9WdTFUqFZ/0bcaSrESeO/ANAAWomBv7DHpzPilZBgYs28uqX5Ol2BZCiH8guVbcaanZBoauOsBD7+7CdO48cW0aKmOT2r3EkgYdmL9DXSR/h1f2kWJbCCH+g81PuN955x3atm3L3r17MZvNjBkzhj///JPMzEySkpIcEaMoA5Iz9Uy8srkKwPCkVYza/RkAC+LimdnyaWWuu4uTtP4SQoh/IblW3ElavZmxaw+ReCIDL7OB5h1aKGNLnx7Np6HXbvLERgaR0K2B5G8hhCgmm59w161bl0OHDnH//ffTrl07cnNz6d69OwcOHCAiIsIRMYpS7pwml/HXFdu7F/ZXiu31j/VFP/F1uNLGJi4qWGn9Jeu9hBDin9k71y5YsIDw8HA8PDy47777SExMvOncdevW0a5dOypXroyfnx8tW7Zk69atReZYLBamTp1KREQEHh4eNGrU6IbN3CZPnoxKpSryVbVqVZtjF46Vmm0gVWtk6AORfPtyHBs6VsVsLczZnz7zChl9nmdxn6YseKYJKwc2Z0aPhtSodONyByGEEP/slvtwT5kyxd6xiDIoLdvAZVMe/WPCeaZ5Tdo+3govXToARhc3RtbrweKwQODaXXFJ1EII8d/slWtXr17NiBEjWLBgATExMXz00Ud07NiRI0eOEBYWdsP8H3/8kXbt2vH2228TEBDAkiVL6NSpE7/88gvR0dEATJo0iU8//ZT//e9/1KlTh61bt9KtWzf27NmjzAGoV68e27dvV46dnZ1v+88j7OesJpcJ6w+TpNbgaTZyly6dqi2imbHpGyZ8fYSwxx4kOjQAXw9Xanm7EezjJk+2hRDCRiqr1Wq15Qd+/PHHfx1v3br1bQVkbzqdDn9/f7RaLX5+fiUdTrlyIduAwZLP6xv/IFGtoe/eTUz+fpEyXnfSZvSWAlY93wKr1UrNIC/uCpRiWwhRftkr59gz1zZv3pwmTZqwcOFC5dy9995L165dSUhIKNY16tWrR8+ePXn99dcBqF69OhMnTmTIkCHKnK5du+Lj48Onn34KFD7h3rBhAwcPHix2rCaTCZPJpBzrdDpCQ0MlhztAaraBV9f8TpJaQyW9lm0fv4SztYBner1FYMz9jOlQh87zC5cvfD+qDREhPiUcsRBCOI4ja0abn3C3bdv2hnOqK68LA+Tn599WQKJs0OrNZBksvP3NkRuK7W2R97N0zFz616zE/B1qArxcZXM0IYSwgb1yrdlsZt++fYwbN67I+fbt27Nnz55iXaOgoIDLly9TqVIl5ZzJZMLDo+hmWZ6enuzevbvIuRMnTlC9enXc3d1p3rw5b7/9NrVr177pZyUkJMgbdHeAVm9Ga7CQpNYQqNeyf94zyphbnoXdag0TnAtXHbaOCibYR/K3EELcKpvXcGdlZRX5Sk9PZ8uWLTRr1ozvvvvOETGKUihbbyEz10yiWsOmZSOUYntBiyd4vvtrJJ3MJDo0gLjIYLxcnaXYFkIIG9gr12ZkZJCfn0+VKlWKnK9SpQoXLlwo1jVmz55Nbm4uTz31lHLukUce4d133+XEiRMUFBSwbds2Nm7cSFpamjKnefPmLF++nK1bt/K///2PCxcu0KpVKzQazU0/a/z48Wi1WuXr3Llzxf6ziuK5uhv56YxcAvVaDlxXbL/54EAO3FUHgMsGi2xwKoQQdmDzE25/f/8bzrVr1w53d3dGjhzJvn377BKYKJ20ejPZegs55jxcnFQM+HU9DS+oAfiscQdmtu6jbJAGMP7ROgR4uZZUuEIIUSbZO9de/3QcwGq13nDun6xatYrJkyezceNGQkJClPPvvfcezz//PHXq1EGlUhEREUG/fv1YsmSJMqdjx47K9w0aNKBly5ZERESwbNkyRo0a9Y+f5+7uLn3GHej63cgH1vW7odhe3Kyrcuzn6cq8+GgptoUQ4jbd0qZp/6Ry5cocO3bMXpcTpVBatoGzmXrm7ThBklrDVtdDvPbDYgAMLu5MbD+kSLFdPcCTSp6ukqyFEMJObM21wcHBODs73/A0Oz09/Yan3n+3evVqBgwYwJdffsnDDz98QxwbNmzAaDSi0WioXr0648aNIzw8/KbX8/b2pkGDBpw4caLY8Qv7ysgxk3gigwCDjjat6irnpz3Qv0ixHRsZhL/kbyGEsAubC+5Dhw4VObZaraSlpTF9+nQaNWpkt8BE6aLVm9l5/BJfH0olSa3hje0fcc++rwD4sHkPprfpW6TYjosKppK3G1X8PG5yRSGEEDdjr1zr5ubGfffdx7Zt2+jWrZtyftu2bXTp0uWmP7dq1Sr69+/PqlWreOyxx246z8PDg7vuuguLxcLatWuLvHb+dyaTiaNHjxIXF1fs+IV96YwW3C0mFq+Zqpz77ImhfBzRQTmOjQzirW4NqC6tO4UQwi5sLrgbN26MSqXi75ubt2jRgk8++cRugYnSQ6s3k6Y1EuLrTpJaw7efDOXeS2cAONN/MIktnoWTmcr8q+2/pNgWQohbY89cO2rUKHr37k3Tpk1p2bIlixYtIjk5mUGDBgGF66bPnz/P8uXLgcJi+7nnnuO9996jRYsWytNxT09P5VX3X375hfPnz9O4cWPOnz/P5MmTKSgoYMyYMcrnvvLKK3Tq1ImwsDDS09OZNm0aOp2OPn363PLfi7g9fh6FS7xy3TzJVzmR8MiLeDw/lMWhAZjyCggP9sbf01WKbSGEsCObC+7Tp08XOXZycqJy5co37FYqyofUbANj1xwivnlhr9bVK8cpxTbAo9Ufp3/NSvSPrY2Xm4u0/xJCCDuwZ67t2bMnGo2GqVOnkpaWRv369dm8eTM1a9YEIC0tjeTkZGX+Rx99RF5eHkOGDCnS9qtPnz4sXboUAKPRyKRJkzh16hQ+Pj48+uijrFixgoCAAGV+SkoK8fHxZGRkULlyZVq0aMHPP/+sfK64M7R6Mxk5Zi5n66jx/Waa123A80wiIvM8R6rUhh2F+7C0jgqWNdtCCOEANvfhLmukD/et0+rNbD58gRA/d7zdXAhds4K7xo1UxmuN+arIa+RbXo6jmrT/EkJUYJJz7Ev+Pm9ParaBsWsP8fvhMxx6rxcAyaMmMLFuZxJPZCjzru5GXk2ebAshKqgS78P9/vvvF/uCw4cPv+VgROmSrbew+XAqiWoN8Qe3kLB1PgDnn3iGdnWeAUuBMrd1VLAU20IIcRsk1wp7uroj+fXFNsDEjAAebVCN1x+vS64pD18PV4J93CR/CyGEgxTrCfe/7Tpa5GIqFadOnbrtoOxJ7o7fmnOZesatO0SSWsPGZSNpdKFwV9mPm3Zh5wtjaVyzEvOvvIYWFxXMTLkzLoQQt5VzynKudRTJ4bfmos5IZq6ZyxcyuL9JhHJ+VtyzzG9VWHx/P6oNESE+JRWiEEKUKiX+hPvva8lE+XZOk0tyloEktYZeB7coxfZvd9Vl2oMD4WQmEx6rR+uoyvh5ulDNT55sCyHE7ZJcK+whWZPL+PWHOfzH2SJPtjNencjnfm0gxwzAZaOlpEIUQogKxamkAxCly0WdkeQsA1qDhZ6/b2X6ldfI1ZVq8OQzM5Q122laAycv5UixLYQQQpQSF3VGxq8/zN6jqUWK7Xdjn2HE3Y8zo0dD5ZzvlR3LhRBCOJbNu5RD4c6jmzZtIjk5GbPZXGTs3XfftUtgomRk5ZrRGiw0HTmAR7//FoBP7uvM1IeeL7JBWlU/D+pV85NiWwghHERyrSgurd5M+mUTeQVWkk5ksHjjdGVsTszTvB8TD2oNYzvWAQr3XQn2kfwthBB3gs0F9/fff0/nzp0JDw/n2LFj1K9fnzNnzmC1WmnSpIkjYhQOptWbydZbyDXnkWPMo82A7nj/9jMAKxt1uKHYjosKJtjXXfpsCyGEg0iuFcV1tX1nojqDVc+3AJWKLXe3pEXyYcZ1GMZXddsoc3OM+cqO5HLDXAgh7gybXykfP348o0eP5o8//sDDw4O1a9dy7tw52rRpw5NPPumIGIUDXcg2cD7bwKQNh3n0/d0c79FbKbYBNg9+rUixHRsZREK3BlJsCyGEA0muFcWh1ZuVYtstz0LkzDcI1Gv5smF7Wr/4cZFiGyDAy5V58dGyyakQQtxBNj/hPnr0KKtWrSr8YRcXDAYDPj4+TJ06lS5duvDSSy/ZPUjhGBd1RrIMFtK0RvrF1uaZozvocPBbZXzg4p/o1zKcfnFgyivA39OVsEpe1KjkVYJRCyFE+Se5VvwXrd5MmtZIojoDb5OeP+c+BcAXtXfR7okENN4BRebHRgZRyVvafwkhxJ1m8xNub29vTCYTANWrV+fkyZPKWEZGhv0iEw6VkqnnlS8O0vG9RAYs28vm0Qm0nzMJgM+adiJ8zCa2H9cQ4ud+rdgO9CRUim0hhHA4ybXi36RlG9h8+ALZekuRYhvAI+EtYqOCi8yPjQzibXk7TQghSoTNT7hbtGhBUlISdevW5bHHHmP06NEcPnyYdevW0aJFC0fEKOzsfJae8esOkajWALB89Wu0PnMAgG1tu5M27i2sPxT+cmcw51M72JtAbzdJ1EIIcYdIrhU3o9WbydKb2Xw4lQGNKxcptue3fIqlxz2Z0SOcsR3roDfl4+fpSiXJ4UIIUWKKXXBfunSJypUr8+6775KTkwPA5MmTycnJYfXq1URGRjJnzhyHBSrs46LOiNaQpxTb3f/4Xim2C1Dx/P39WBwWqMwP8nYnIsSnRGIVQoiKRnKt+C9ag4W3Nh/lwJEUVjzfUjm/oMUTzGr9HOSYGbBsLzGRQTzesDqP1q8qr5ELIUQJKnbBfdddd9G5c2cGDBhAhw4dAPDy8mLBggUOC07YV+FOpr8T37wmAN3+2MGsb+YCsKN2UwY88TqoVJjyCoAru5FL2xAhhLhjJNeKf6PVm0nJMvDrsQucmHNt87xNHXozs1FP5TgmMohhD0ZRq5KXFNtCCFHCil1wL1u2jCVLltCpUyeqVq1Kv3796Nu3LxEREY6MT9jJtZ1MNfSNCWfJl2/wwKn/t3fnYVGV7R/Av8M67KiA7IiiKa645L6bS6a4vK+mZu5LamrmnqVZuZWmhpRpomWi+eL2s3LJDdwyt9BEBcUdMlBAGIYZmOf3B3FyAnUGZhgGvp/rOtflnHPmnPt55jg395xznnMOALC5UQ+83/UtCFn+Lf22VhbSaORM1EREpYe5loqSrlAhJVOFnNw8pGWrMe/wemnZ+pb/Qdo77+EbP1fk5GoQUMUejjZWcLW3Zg4nIioDdB40bdCgQThw4AASExMxZswYfP/996hVqxY6duyI77//Hkql0phxUgmkK1RIysgfyRQAqr/5X6nYPh7QUKvYbhtUBV4ucizt34CjkRMRlTLmWvq3B2nZmBR5AZ1XHMOtVAVsrSzw9cv9EV/FD8P/Mx8ftxuOsMMJGLXpLCZ8fx6WFjIEuDmw2CYiKiP0HqXcz88P8+fPx82bN3HgwAH4+Phg7Nix8PLywoQJE4wRI5VAUlo24pKfQJ2nQfiQxthvfQmBZ2Ok5W8OWKhVbM/vXRdujrbwqcRim4jIVJhrCfj76rSoWMTEp8A6T40ms95C+vadqNakDrqPDMPRGs201m9b0w2VWGgTEZUpMiGEKOlGoqKiMHbsWKSlpSEvL88QcRlMRkYGXFxckJ6eDmdnZ1OHU6rSFSrEJT/BmsPxiElIRe8rR/H53hWwFPn3aK/adwX1/CsjJ1cDv8p2uHw/Ax1rucPT1c7EkRMRmSdj5pyynGuNpaLn8KR0JW6mZME+NwcdGgcCABR2Djhz6CzW/ZGGE38PgAr88+gv/yoOpgqZiMhsGTPf6P1YsAK3bt1CREQENm3ahHv37qFjx44YNWqUIWOjEkhXqPAoSyUV24Mu7sPHB8JhKTSIbNAVP06cj0YyC4zadBZta7rho9C6HMmUiKiMYa6tmO49+ufxnXK1EldX/EdaduvDZfj2WgZC/CthZOtA5ORq4GpnDf/K9rwVjIioDNKr4FYqldi+fTsiIiIQHR0NHx8fDB8+HCNGjEC1atWMFCLpK3808lgMb10NMQmpWLTvCwz+fT8AILJBV8ztPgni5mOMaFsDrYOq4KPQeqjmxl/EiYjKAubaiu3+YwVm7YjFiSKK7Z87D8C1kC4I1giE+LnCxc4alext4OZowx/MiYjKKJ0L7rFjx+KHH36AUqlEaGgofvzxR3Tt2hUymcyY8ZGe0hUqHLv2EMNbV4O9jRX2ut9Dvb+LbQD5xfbf92w72FrhtQbeqGRvbapwiYjoKcy1FdufGUqkKdQY0jwAY5p6oUNINWlZRJNe+LDpm/jGxwWjNp1Fu5pu+GJQCAttIqIyTueC+/Tp0/jwww8xdOhQVK5c2ZgxUQk8Uqiw91ISTiSk4rW4aKz6v88AAEm9/oOuDYZD5P6zrkYj0KGWO5M1EVEZwVxbceVfnfY7YhJSYZWXi4TP+kjLvm/aCx92HgcAyMnVoF1NNyzt34D5m4jIDOhccMfGxhozDjKAu6lZ+GDXZZxISEX4zkV49fpJAMAP9btgz2vvYFi1Kgg7nAAgfyTTGh6OqOosN2XIRET0FObaiunPDKVUbANA/8uHpGUHO/RD0pxFwN/5u7qbA89sExGZkWIPmkZlR7pChUcKFZLSlIhJSEXYriVSsa2wtsWsHpOle7YBSL+Ms9gmIiIyrQdp2biVkoWYhFRYavIgAPzQ4BXUeZiI6MDGOBz0Mr7xcwWQ/2O5l4ucxTYRkRlhwW3mHqRl49j1v7A39gGGNA/Aq1eP47Vrx6XlDaZs07pne9/UtvByZrImIiIytYLnbA962R82uWqs/L9PobKyxrSe07DglfHSejm5GrQJqoLFfeszfxMRmRkW3GbsYYYSx649RD1fF7jYWaPuyYPoumeZtDxo+i7kWv7zETvZWqGyPUcyJSIiKgtSMlWIiU/BiKZeuL68LwBAAxk2NA1FrFctab2AyvZY2r8BfCrxsV9ERObGwtQBUPEkpWUjI1uNvZeS0OuLE7gycSb8JoyEldAgqm5HVJ+xW6vYbhtUBc5yK3jwMnIiIqIyIUOphk2uGp0aBUjz1rQcoFVst63pBjcnWxbbRERmSqcz3PoM4tKgQYNiB0O6SVeocPT6X/gp9gFOJKRi2Ln/w/SYzQCApN7/wa6eU6G5mSat37amGz7pUw9+VfisbSKisoq5tuJxlmmkM9sAcKRtbyxvNVR63bamG5ZxzBUiIrOmU8HdqFEjyGQyCCFe+CzQvLw8nXceHR2NTz/9FOfOnUNSUhJ27tyJPn36SMszMzMxe/Zs7Nq1C6mpqahWrRomT56Mt956S+d9lEdpCjXq+Thjzo5L6Hb9JOYdXi8t61ZvGN6s5oaZPevi7qNsuNhZw7+SHYttIqIyzli5lsqOdIUKKZkqZCjVcLbQoIa/m7QsqlFXJM5bhm/8XJGTq4GrnTWfJkJEVA7odEl5YmIibt68icTERERFRSEwMBDh4eG4cOECLly4gPDwcNSoUQNRUVF67TwrKwsNGzZEWFhYkcvfeecd7Nu3D5s3b0ZcXBzeeecdvP3229i9e7de+ylPHqRlY96uS7j7KBs9rh5H2O6lsNbkYcffl5Fn5MkQdjgBdx9lI/LMHfhVtmexTURkBoyVa6lseJCWjUmRF9B5xTH0D4uBplGItCy6VU+8220ywg4nYNSms9h65g4C3RxYbBMRlQM6neEOCPjn3qL//ve/WL16NV599VVpXoMGDeDn54f3339f6wz1i/To0QM9evR45vJTp05h2LBh6NChAwBg7NixWLt2Lc6ePYvQ0FCd91NeFIxmGpOQiqU/rsSru7cBAHYGd8D0V6dCY2EprRvo5oAwPqeTiMhsGCvXkulJ+Ts+BQBQK+UO/NL/BACcatUDL/38PxxS5uKJUg0nuTXcHDnAKRFReaH3KOWXLl1CYGBgofmBgYG4cuWKQYIq0KZNG+zZswcjR46Et7c3jh49iuvXr2PVqlXPfE9OTg5ycnKk1xkZGQaNyZQKRjNd9tNKeF/6RZr/bs93tIrttjXd4M3ndBIRma3SzLVkfGkKNYa3qoZBTXzgkpaCU6ogTFAvgHVmJva/1AqHlLmo4eFo6jCJiMgI9B6lvE6dOvj444+hVCqleTk5Ofj4449Rp04dgwa3evVqBAcHw9fXFzY2NujevTvCw8PRpk2bZ75n8eLFcHFxkSY/Pz+DxlTa/sxQ4mpSBs4kpiInNw+f293BgKeK7WHhxwoV28v6N2CxTURkxkoz15JxFdwKNm7DaVQKfRU1enVG0pnfMXjuSMTUbwsAeKJUmzhKIiIyFr3PcH/11Vfo1asX/Pz80LBhQwDA77//DplMhr179xo0uNWrV+P06dPYs2cPAgICEB0djQkTJsDLywtdunQp8j1z5szBtGnTpNcZGRlmW3TfTs3C3J2XcCIhFQDQOeFXrN21GACQau+CTlO+xdAaVfFmh5eQk6tBdTcHePHMNhGR2SvNXEvGka5Q4eGTHNx5pMDI5n74bkxLaVnGhUuI8PTHyDaBCDucACe5tQkjJSIiY9K74H755ZeRmJiIzZs34+rVqxBCYODAgRg8eDAcHAw3OFd2djbmzp2LnTt3omfPngDy71+7ePEiPvvss2cW3La2trC1tTVYHKZy77FCq9j+4JevMfLcHgDAyWav4NSHnyP92C2EHU4AALSr6YYveM82EVG5UFq5lozjQVq2dM+2VV4uEj7rIy3bU78TDtZsASSkYmTrQLSr6QY3R+ZuIqLySu+CGwDs7e0xduxYQ8eiRa1WQ61Ww8JC+6p3S0tLaDQao+7b1NIVKjxR5krFdtfrp6RiO7paCEZ0mISvq7kBx24ByC+2l/IyciKicqU0ci0Z3oO0bNxKycKgl/0x8mVfdGzgKy071awLrn8cBvz9YzkA5m8ionKuWAX3d999h7Vr1+LmzZs4deoUAgIC8Pnnn6N69ep6jR6emZmJhIR/kk5iYiIuXryIypUrw9/fH+3bt8eMGTNgZ2eHgIAAHDt2DN9++y1WrFhRnLDNxmOFGg/SsgEAnRLOIGz3UmnZmP7vI8/CEk5ya/wwriWqONhwNFMionLIULmWSs+d1Cy8t/MSYhJSC53Z3lenLcZ3mopv/Fylef6V7eHlalf6gRIRUanRe9C0L7/8EtOmTUOPHj3w+PFj5OXlAQAqVaqElStX6rWts2fPIiQkBCEh+c+inDZtGkJCQvDBBx8AALZu3YpmzZphyJAhCA4OxpIlS/DJJ59g/Pjx+oZtNv7MUOJBWjbcnWzx39iD+HLXIthocrH3pTaoMWM3cqzyC2s7GwtUcbBBDQ9HFttEROWMIXMtlY4HadlSsS0TGqzes0xadqZxR1xeuQ4AkJObf5Veu5pu8HAy/1vgiIjo+fQ+w/3FF19g3bp16NOnD5YsWSLNb9q0KaZPn67Xtjp06AAhxDOXe3p6IiIiQt8QzdadRwq8tyP/Ods7r2zBpz9vAQD8+FJrTO01HXl/j0beJqgKsnLy4F/J3pThEhGRkRgy15LxFVxGHvP3rWB26hx4Zub/+3/1OmP6K+9IZ7ZtrSx4KxgRUQWid8GdmJgonZF+mq2tLbKysgwSVEV0NzULc/4eJG3eoXUIObtbWjal1wzkWuZ/VG2D3DC/d1042VgyURMRlVPMteYjXaHCrKhYDHrZHzKhQcvbsThZrRHeHPARmtyPw7HqTQDkn9luW9MNQe6OHOSUiKgC0bvgDgwMxMWLFxEQEKA1/+eff0ZwcLDBAqtI/sxQ4s7jbJxISEWHG2cx+qlie+Wei1gb5AkHWytk5eSiupsDKjvwnm0iovKMudZ8pGSqEBOfguHN/RDz1Sj4ZvyFBZ3HYmPT3lKxDQCudtZY1r8B79kmIqpg9C64Z8yYgYkTJ0KpVEIIgTNnziAyMhKLFy/G+vXrjRFjufZnhhKPslSwkMnQ/uY5rN35CQDggtdLGDToEyhP3ANO3EP4kMbYeuYOfxUnIqoAmGvNR4ZSDQtNHjrX95HmPbJ30VqnbZAbqrk5sNgmIqqA9C64R4wYgdzcXMycORMKhQKDBw+Gj48PVq1ahddff90YMZZL6QoVHilU+GDXZcQkpCI6+f+waftaAMC+Wi0xqfcs6TJyIP+Xcd7vRURUMTDXmg9nawvc/PSfUePPN2iNPcHtpddtg9zwSd968GaxTURUIcnE80Yte4GUlBRoNBp4eHgYMiaDysjIgIuLC9LT0+Hs7GzqcADkD65y7Npf2HvpAU4kpKLdzXP4dvt8AMBfDq5o9VYE1JbW0vpta7rhs/82RFVnualCJiIiHRgj55hDrjWWspjDteTlAVb//Dh+LKgZflvzHUL8XJGTq4GrnTWquTmw2CYiKuOMmW/0fixYp06dkJaWBgBwc3OT/gDIyMhAp06dDBpceZSuUGHW/2Lh4WyLEwmpaJt4Hut2fCwtn7V0h1ax3SaoCj7pW5/FNhFRBcJcawY0Gq1i+/d6LTCs/3yEHU7AqE1nsfXMHQSy2CYiqvD0vqT86NGjUKlUheYrlUrExMQYJKjy7OGTHMQkpGBQc3+MP/0/TI/+FlZCgwM1W2DGf+diaE1vDOnkCnsbK2iEgH8lO/hV5uO/iIgqEubaMk4IYNKkf15364ZqO/bgUKYKT5RqOMmt4ebIAU6JiEiPgjs2Nlb695UrV5CcnCy9zsvLw759++Dj41PUW+lv6QoV0hRqAEDw6kV49dhGAMCR6k0wMXQW1HkWCDucAAD4eUpbVHaw4ZltIqIKhLm2bEpXqJCSqUKGUg1nO2u4OdjApXp1wMICmD4dWLoULgALbCIiKkTngrtRo0aQyWSQyWRFXs5mZ2eHL774wqDBlSf3HiuQrlDD3sYSI87uRrVD66RlE0Nna9+zHeTGYpuIqAJiri17HqRlY1ZULGLiUwAhMOLcHtzv+zoWjJ4I71dfBfiYNiIieg6dC+7ExEQIIVC9enWcOXMG7u7u0jIbGxt4eHjA0tLSKEGau9upWZi78xJOJKTicKNczP37zDYAjPziEBT3sqXXbWu64ZM+9VhsExFVQMy1ZUu6QiUV2zKhQeKy3gCAX6+fwhybr7F6SBO4vGAbRERUselccAcEBAAANBqN0YIpb9IVKmRkq6Viu+Xt3+G38iNY56pxoX4rjHl1Ol6v5YMhnV0BAJ7OcrjYWcOX92wTEVVIzLVlR7pChaR0ZaFiGwCi6nbCsRuPkJKp4mXkRET0XHqPUr548WJs2LCh0PwNGzZg6dKlBgmqPEhKy8ZPl5PxRJWHIc0DcCTjMCK3vgfrHCVS2nfBtTURWDqsFYK98oedf/gkB64stomICMy1pvYgLRuTIi/gZkpWoWL7tF89/NCwKwDgiVJtqhCJiMhM6F1wr127FrVr1y40v27duvjqq68MEpS5S1eocPuRAntjH+DVVTH4btFGBH65Qlreq8NU3MvOf/x5FQcb+Lja4dV6nvBhsU1ERGCuNaWnLyO3tYBWsf2rb128PniJ9NpJbl3UJoiIiCR6F9zJycnw8vIqNN/d3R1JSUkGCcrcpSnU+OJwPE4kpKLFnVhs+N+HAIBkx8oYvfoX9G8VJD2n09HWCl4ucl6SRkREEuZa00nJVEkDpHWu5y3NP+MbjIFD/rm6oF1NN7g5MncTEdHz6V1w+/n54cSJE4XmnzhxAt7e3kW8o2JJV6igUOfhREIqJp+IxNbIubDLzcGR6k3Qftx6/HJfiRA/VwBAm6AqcLG3ZrFNRERamGtNJ+Pvy8SnntgizbsW1AADhiyTXrer6Yal/RswfxMR0QvpPGhagdGjR2Pq1KlQq9XSI0sOHTqEmTNn4t133zV4gOak4NEhg172x+QTkZh2/HsAwC1XL4zv+x5yrPITc06uBm2CquCTvvXhW4mXkRMRkTbm2tL19HO27WzyR4H/v9rtMOj3/Yho+R9YTZ+Gb/xckZOrQXU3B16ZRkREOtO74J45cyYePXqECRMmQKVSAQDkcjlmzZqFOXPmGDxAc/EgLRuz/vc7YhJS8a46Hq/+XWwDQO9hn0vFNgAEujlg+YBGfPQXEREVibm29Pz7Odtb7+zFKL+G+MbNH51Gf4UsW3vgcAKA/DPbXwwKYbFNREQ6kwkhRHHemJmZibi4ONjZ2aFmzZqwtbU1dGwGkZGRARcXF6Snp8PZ2dko+7idmoX7j7MxeP2vePnuZXwf9SGsc/Kfrd1gylZkyB2lddvWdEMYkzURUblk6JxjLrnWWIydw9MVKkyKvCAV27eW9QIA5No7YPJHP+Cnh//8iVRwGbmXq53B4yAiItMyZr7R+wx3AUdHRzRr1syQsZile48UmLvzEoY0D0CLO7H45n8LYa1WIrV1B7w7ZAEybmdK6/KeLyIi0gdzrXE9PUBaQbENAF8264vq9WpgX30vKNV5cJJbw83RhvmbiIj0plPB3a9fP2zcuBHOzs7o16/fc9fdsWOHQQIzB+kKFe48UuBEQirm3/wFWyPfBwBEVwvBlLZTMaSGJ4Z24D1fRET0Ysy1pS9DqS5UbF+qWgPLW7wOHE5Al9oeaORfyYQREhGRudOp4HZxcYFMJpP+TflSMlVIy1ajyb0rqPX9+9L8Mf3mIUdYIYz3fBERkY6Ya0ufs62VVrH9h0d19Bq+SnrN52wTEVFJFfsebnNhjOvxC0YzTc1Swe333+A7uB9sshVIa9gEM0d8ggNJudK6bWu6YRnv+SIiqhBKY9yQisSo/SkENJ5esHj4JwAgzr0aeowMkxbzx3IiooqjTN7DXVE9PZrpmF934L2jGwAAqS3aovcrM9C3TjUM7Jp/GbmrnTWquTmw2CYiIjKxpx/95WxnDa+9O2D/d7F916cGerzxz5ltjrlCRESGolPBHRISIl3m9iLnz58vUUBlWbpCJRXbo8/8U2wDwIw3FqJvTS/pMvI2QVWwqG99eLPYJiIiHTDXGs/9xwrcTlUgLVsNuZUFDsX9iQRNTXzetz/sOneE84gxOJSpwhOlmgOkERGRQelUcPfp00f6t1KpRHh4OIKDg9GyZUsAwOnTp/HHH39gwoQJRgmyLEhXqJCUrsSgl/0xxT4FTZf+U2yHvP09Ht/Nwjt9qiLYyxmudtbwr2wP38r2JoyYiIjMCXOtcdx7pMCsHbE4kZAKCIGZ0ZvQwE6gUVgYJlvOxGcDGsHFngU2EREZh04F9/z586V/jx49GpMnT8ZHH31UaJ27d+8aNroy4unLyBvfj8OmHz6QlrV6dyseW+U/ZztbpcFLVZ34yzgREemtoudaY0hXqDDnqWL76QHSPorohJde6YyUTBVzNhERGY2Fvm/Yvn073nzzzULz33jjDURFRRkkqLLk6cvIu8T/ik0/fAAnVTZO+dfHyLDD6Ne1kbRuFQcb1PBwZOImIqISqWi51lhSMlWIKaLY3l+zBb6xDECInyueKNUmjJCIiMo7vQtuOzs7HD9+vND848ePQy6XGySosiQlU4WY+BTY5qqwfsdH/xTb/efj8F0FQvxcAeQPsOLmyEKbiIhKrqLlWmPJ+LuY7h0XLc1LrOSFcf3mAQBycjV89BcRERmV3qOUT506FW+99RbOnTuHFi1aAMi/r2zDhg344IMPXvBu81OQrNUWljjlXx8t71zCmH7vI9sm/w+enFwNRzMlIiKDqmi51lic/y6m77h64i97VyRW9saAIcuk5a521vyxnIiIjErvgnv27NmoXr06Vq1ahS1btgAA6tSpg40bN2LAgAEGD9DUCpK1xsISgwYtLrS8upsDn9NJREQGVdFyrbG4OdqgXU03RANo9vZmrWVtgqogoIo98zcRERmVTAghTB2EMZX0IebpChXejryA6PiUQsva1XRjsU1ERJKS5hzSZoj+fJCWjdlRsVp5vG1NNyzuW59PEyEiIgDGzd9638MNAGlpaVi/fj3mzp2LR48eAch/Juj9+/cNGlxZ4GJvgyX9G6BdTTet+byMnIiIjMmQuTY8PByBgYGQy+Vo0qQJYmJinrnujh078Morr8Dd3R3Ozs5o2bIl9u/fr7WOWq3GwoULUaNGDcjlcjRs2BD79u0r0X6NxdvVDl8MCsGhae2xa0IrHJrWHmGDQlhsExFRqdD7kvLY2Fh06dIFLi4uuHXrFkaPHo3KlStj586duH37Nr799ltjxGlSBck6JVOFJ0o1nOTWfPQXEREZjSFz7bZt2zB16lSEh4ejdevWWLt2LXr06IErV67A39+/0PrR0dF45ZVXsGjRIri6uiIiIgK9evXCr7/+ipCQEADAvHnzsHnzZqxbtw61a9fG/v370bdvX5w8eVJaR9/9GhOfs01ERKai9yXlXbp0QePGjbFs2TI4OTnh999/R/Xq1XHy5EkMHjwYt27dMlKoxcPL+4iIqLQYKucYMtc2b94cjRs3xpdffinNq1OnDvr06YPFiwuPTVKUunXrYuDAgdKAbd7e3njvvfcwceJEaZ0+ffrA0dERmzdvLvZ+c3JykJOTI73OyMiAn58fczgRERlVmbqk/LfffsO4ceMKzffx8UFycrJBgiIiIqrIDJVrVSoVzp07h65du2rN79q1K06ePKnTNjQaDZ48eYLKlStL83Jycgo9nuzpR5kVd7+LFy+Gi4uLNPn5+ekUIxERUVmld8Etl8uRkZFRaP61a9fg7u5ukKCIiIgqMkPl2pSUFOTl5aFq1apa86tWrapz4b58+XJkZWVpjY7erVs3rFixAvHx8dBoNDh48CB2796NpKSkEu13zpw5SE9Pl6a7d+/q2lQiIqIySe+COzQ0FAsXLoRanf98aplMhjt37mD27Nno37+/wQMkIiKqaAyda2UymdZrIUSheUWJjIzEggULsG3bNnh4eEjzV61ahZo1a6J27dqwsbHBpEmTMGLECFhaWpZov7a2tnB2dtaaiIiIzJneBfdnn32Gv/76Cx4eHsjOzkb79u0RFBQEJycnfPLJJ8aIkYiIqEIxVK51c3ODpaVlobPKDx8+LHT2+d+2bduGUaNG4YcffkCXLl20lrm7u2PXrl3IysrC7du3cfXqVTg6OiIwMLDE+yUiIipP9B6l3NnZGcePH8fhw4dx/vx5aDQaNG7cuFAyJiIiouIxVK61sbFBkyZNcPDgQfTt21eaf/DgQYSGhj7zfZGRkRg5ciQiIyPRs2fPZ64nl8vh4+MDtVqNqKgo6bLz4u6XiIiovNGr4M7NzYVcLsfFixfRqVMndOrUyVhxERERVUiGzrXTpk3D0KFD0bRpU7Rs2RJff/017ty5g/HjxwPIv2/6/v370qPGIiMj8eabb2LVqlVo0aKFdJbazs4OLi4uAIBff/0V9+/fR6NGjXD//n0sWLAAGo0GM2fO1Hm/REREFYFeBbeVlRUCAgKQl5dnrHiIiIgqNEPn2oEDByI1NRULFy5EUlIS6tWrh59++gkBAQEAgKSkJNy5c0daf+3atcjNzcXEiRO1Hvs1bNgwbNy4EQCgVCoxb9483Lx5E46Ojnj11Vfx3XffwdXVVef9EhERVQR6P4c7IiIC27dvx+bNm7UeEVJW8TncRERUWgyVc8wt1xoLczgREZUGY+Ybve/hXr16NRISEuDt7Y2AgAA4ODhoLT9//rzBgiMiIqqImGuJiIjKB70L7tDQUJ0eJUJERETFw1xLRERUPuh9Sbm54eVoRERUWphzDIv9SUREpcGY+Ubn53ArFApMnDgRPj4+8PDwwODBg5GSkmLQYIiIiCoy5loiIqLyRedLyufPn4+NGzdiyJAhkMvliIyMxFtvvYXt27cbM74SKziBn5GRYeJIiIiovCvINcW9eMxcc62xMIcTEVFpKGn+fi6ho+rVq4vIyEjp9a+//iqsrKxEbm6urpswibt37woAnDhx4sSJU6lNd+/eLVbOMtdcayzM4Zw4ceLEqTSn4ubv59H5Hm4bGxskJibCx8dHmmdnZ4fr16/Dz89Pl02YhEajwYMHD+Dk5FSuBqDJyMiAn58f7t69Wy7vayvv7QPYxvKgvLcPKP9tNHT7hBB48uQJvL29YWGh811bEnPNtcaibw4v78erMbHviof9Vnzsu+JhvxXf8/qupPn7eXS+pDwvLw82Njbab7ayQm5urkEDMjQLCwv4+vqaOgyjcXZ2Ltf/2cp7+wC2sTwo7+0Dyn8bDdk+FxeXYr/XXHOtsRQ3h5f349WY2HfFw34rPvZd8bDfiu9ZfVeS/P08OhfcQggMHz4ctra20jylUonx48drPR90x44dho2QiIiogmCuJSIiKl90LriHDRtWaN4bb7xh0GCIiIgqMuZaIiKi8kXngjsiIsKYcZCebG1tMX/+fK2zIOVJeW8fwDaWB+W9fUD5b2NZax9zbcmUtc/TnLDviof9Vnzsu+JhvxWfqfpO50HTiIiIiIiIiEh3hh2CjYiIiIiIiIgAsOAmIiIiIiIiMgoW3ERERERERERGwIKbiIiIiIiIyAhYcJdx0dHR6NWrF7y9vSGTybBr1y6t5ZmZmZg0aRJ8fX1hZ2eHOnXq4MsvvzRNsMWwePFiNGvWDE5OTvDw8ECfPn1w7do1rXWEEFiwYAG8vb1hZ2eHDh064I8//jBRxPp5UfvUajVmzZqF+vXrw8HBAd7e3njzzTfx4MEDE0atH10+w6eNGzcOMpkMK1euLL0gS0DX9sXFxaF3795wcXGBk5MTWrRogTt37pggYv3p0kZz/q758ssv0aBBAzg7O8PZ2RktW7bEzz//LC035++Y8iY8PByBgYGQy+Vo0qQJYmJinrnujh078Morr8Dd3V36XPfv36+1jlqtxsKFC1GjRg3I5XI0bNgQ+/btK9F+yypT9N2CBQsgk8m0Jk9PT6O0z1j06bfjx4+jdevWqFKlCuzs7FC7dm18/vnnhdaLiopCcHAwbG1tERwcjJ07d5Zov2WVKfqOx1zhfvvjjz/Qv39/VKtW7bl/X/GYK17fGeSYE1Sm/fTTT+K9994TUVFRAoDYuXOn1vLRo0eLGjVqiCNHjojExESxdu1aYWlpKXbt2mWagPXUrVs3ERERIS5fviwuXrwoevbsKfz9/UVmZqa0zpIlS4STk5OIiooSly5dEgMHDhReXl4iIyPDhJHr5kXtS0tLE126dBHbtm0TV69eFadOnRLNmzcXTZo0MXHkutPlMyywc+dO0bBhQ+Ht7S0+//zz0g+2GHRpX0JCgqhcubKYMWOGOH/+vLhx44bYu3ev+PPPP00Yue50aaM5f9fs2bNH/Pjjj+LatWvi2rVrYu7cucLa2lpcvnxZCGHe3zHlydatW4W1tbVYt26duHLlipgyZYpwcHAQt2/fLnL9KVOmiKVLl4ozZ86I69evizlz5ghra2tx/vx5aZ2ZM2cKb29v8eOPP4obN26I8PBwIZfLtdbRd79lkan6bv78+aJu3boiKSlJmh4+fGj09hqKvv12/vx5sWXLFnH58mWRmJgovvvuO2Fvby/Wrl0rrXPy5ElhaWkpFi1aJOLi4sSiRYuElZWVOH36dLH3WxaZqu94zBXutzNnzojp06eLyMhI4enpWeTfVzzmit93hjjmWHCbkaIK7rp164qFCxdqzWvcuLGYN29eKUZmOA8fPhQAxLFjx4QQQmg0GuHp6SmWLFkiraNUKoWLi4v46quvTBVmsf27fUU5c+aMAGBWX4JPe1Yb7927J3x8fMTly5dFQECA2RTc/1ZU+wYOHCjeeOMNE0ZlWEW1sbx911SqVEmsX7++3H3HmLOXX35ZjB8/Xmte7dq1xezZs3XeRnBwsPjwww+l115eXiIsLExrndDQUDFkyBCD7tfUTNV38+fPFw0bNixe0GWAIfqtb9++Wt//AwYMEN27d9dap1u3buL111836H5NzVR9x2OucL897Vl/X/GYy1ecvjPEMcdLys1cmzZtsGfPHty/fx9CCBw5cgTXr19Ht27dTB1asaSnpwMAKleuDABITExEcnIyunbtKq1ja2uL9u3b4+TJkyaJsST+3b5nrSOTyeDq6lpKURlWUW3UaDQYOnQoZsyYgbp165oqNIP4d/s0Gg1+/PFH1KpVC926dYOHhweaN29e6PYPc1LUZ1hevmvy8vKwdetWZGVloWXLluXuO8ZcqVQqnDt3TutzAICuXbvq/DloNBo8efJE67jNycmBXC7XWs/Ozg7Hjx832H5NzVR9VyA+Ph7e3t4IDAzE66+/jps3bxazJaXLEP124cIFnDx5Eu3bt5fmnTp1qtA2u3XrJm2Tx1y+4vRdAR5z2v1WGvs1NVP1XYGSHnMsuM3c6tWrERwcDF9fX9jY2KB79+4IDw9HmzZtTB2a3oQQmDZtGtq0aYN69eoBAJKTkwEAVatW1Vq3atWq0jJzUVT7/k2pVGL27NkYPHgwnJ2dSznCkntWG5cuXQorKytMnjzZhNGVXFHte/jwITIzM7FkyRJ0794dBw4cQN++fdGvXz8cO3bMxBHr71mfobl/11y6dAmOjo6wtbXF+PHjsXPnTgQHB5er7xhzlpKSgry8vBJ9DsuXL0dWVhYGDBggzevWrRtWrFiB+Ph4aDQaHDx4ELt370ZSUpLB9mtqpuo7AGjevDm+/fZb7N+/H+vWrUNycjJatWqF1NRUwzTOiErSb76+vrC1tUXTpk0xceJEjB49WlqWnJz83G1W9GOuJH0H8Jgrqt+Mud+ywlR9BxjmmLPSa49U5qxevRqnT5/Gnj17EBAQgOjoaEyYMAFeXl7o0qWLqcPTy6RJkxAbG1vo13MAkMlkWq+FEIXmlXXPax+QP0DN66+/Do1Gg/Dw8FKOzjCKauO5c+ewatUqnD9/3uw+s38rqn0ajQYAEBoainfeeQcA0KhRI5w8eRJfffVVsX5JNaVnHafm/l3z0ksv4eLFi0hLS0NUVBSGDRum9YNIefiOKQ+K+zlERkZiwYIF2L17Nzw8PKT5q1atwpgxY1C7dm3IZDLUqFEDI0aMQEREhEH2W5aYou969Ogh/bt+/fpo2bIlatSogU2bNmHatGkGaJXxFaffYmJikJmZidOnT2P27NkICgrCoEGD9NpmRT3mStp3POaK7jdj7besMUXfGeKYY8FtxrKzszF37lzs3LkTPXv2BAA0aNAAFy9exGeffWYWfwQXePvtt7Fnzx5ER0fD19dXml8wCmBycjK8vLyk+Q8fPiz0K1dZ9qz2FVCr1RgwYAASExNx+PBhszy7/aw2xsTE4OHDh/D395fm5eXl4d1338XKlStx69YtE0Srv2e1z83NDVZWVggODtZav06dOs/8caWselYby8N3jY2NDYKCggAATZs2xW+//YZVq1Zh1qxZAMz/O8bcubm5wdLSstCZCl0+h23btmHUqFHYvn17oWPR3d0du3btglKpRGpqKry9vTF79mwEBgaWeL9lhan6rigODg6oX78+4uPji9+gUlKSfivog/r16+PPP//EggULpD/gPT09n7vNin7MlaTvisJjzrj7LStM1XdFKc4xx0vKzZharYZarYaFhfbHaGlpKZ11K+uEEJg0aRJ27NiBw4cPF0rkgYGB8PT0xMGDB6V5KpUKx44dQ6tWrUo7XL29qH3AP8V2fHw8fvnlF1SpUsUEkRbfi9o4dOhQxMbG4uLFi9Lk7e2NGTNmFHoMTVn0ovbZ2NigWbNmhR6jdf36dQQEBJRmqMX2ojaWh++afxNCICcnx+y/Y8oLGxsbNGnSROtzAICDBw8+93OIjIzE8OHDsWXLFunHoKLI5XL4+PggNzcXUVFRCA0NLdF+yxJT9V1RcnJyEBcXp/XjVVllqM++4LukQMuWLQtt88CBA9I2K/Ix92/69l1ReMyV3n5NyVR9V5RiHXMlGnKNjO7JkyfiwoUL4sKFCwKAWLFihbhw4YI0gnX79u1F3bp1xZEjR8TNmzdFRESEkMvlIjw83MSR6+att94SLi4u4ujRo1rD7SsUCmmdJUuWCBcXF7Fjxw5x6dIlMWjQILN5ZM+L2qdWq0Xv3r2Fr6+vuHjxotY6OTk5Jo5eN7p8hv9mTqOU69K+HTt2CGtra/H111+L+Ph48cUXXwhLS0sRExNjwsh1p0sbzfm7Zs6cOSI6OlokJiaK2NhYMXfuXGFhYSEOHDgghDDv75jypOCRL9988424cuWKmDp1qnBwcBC3bt0SQggxe/ZsMXToUGn9LVu2CCsrK7FmzRqt4zYtLU1a5/Tp0yIqKkrcuHFDREdHi06dOonAwEDx+PFjnfdrDkzVd++++644evSouHnzpjh9+rR47bXXhJOTk9n0nb79FhYWJvbs2SOuX78url+/LjZs2CCcnZ3Fe++9J61z4sQJYWlpKZYsWSLi4uLEkiVLnvlYsIp0zBmq73jMFe63nJwcqVbw8vIS06dPFxcuXBDx8fE679ccmKrvDHHMseAu444cOSIAFJqGDRsmhBAiKSlJDB8+XHh7ewu5XC5eeuklsXz5cqHRaEwbuI6KahsAERERIa2j0WjE/Pnzhaenp7C1tRXt2rUTly5dMl3QenhR+xITE5+5zpEjR0wau650+Qz/zZwKbl3b980334igoCAhl8tFw4YNzeL51AV0aaM5f9eMHDlSBAQECBsbG+Hu7i46d+4sFdtCmPd3THmzZs0a6bNq3Lix1qPphg0bJtq3by+9bt++/XPzoxBCHD16VNSpU0fY2tqKKlWqiKFDh4r79+/rtV9zYYq+K3hmvbW1tfD29hb9+vUTf/zxh7GbalD69Nvq1atF3bp1hb29vXB2dhYhISEiPDxc5OXlaW1z+/bt4qWXXhLW1taidu3aIioqSq/9mgtT9B2PucL99qy/JZ/ezov2ay5M0XeGOOZkQgih+/lwIiIiIiIiItIF7+EmIiIiIiIiMgIW3ERERERERERGwIKbiIiIiIiIyAhYcBMREREREREZAQtuIiIiIiIiIiNgwU1ERERERERkBCy4iYiIiIiIiIyABTcRERERERGREbDgJqrgOnTogKlTp5o0hqtXr6JFixaQy+Vo1KiRSWMhIiIyF8zhRGUfC24iPclksudOw4cPL5U4evXqhS5duhS57NSpU5DJZDh//nypxFJS8+fPh4ODA65du4ZDhw4ZdNsbN24s8nOSy+UG3Q8REZV9zOGGV5o53MvLCwMGDEBiYqJB90NkTFamDoDI3CQlJUn/3rZtGz744ANcu3ZNmmdnZ6e1vlqthrW1tcHjGDVqFPr164fbt28jICBAa9mGDRvQqFEjNG7c2OD7NYYbN26gZ8+ehdqhD5VKBRsbmyKXOTs7a31GQP4fXUREVLEwhxteaeVwIQSuXr2KcePGoXfv3rh48SIsLS2LvU+i0sIz3ER68vT0lCYXFxfIZDLptVKphKurK3744Qd06NABcrkcmzdvxoIFCwpdZrVy5UpUq1ZNa15ERATq1KkDuVyO2rVrIzw8/JlxvPbaa/Dw8MDGjRu15isUCmzbtg2jRo1CamoqBg0aBF9fX9jb26N+/fqIjIx8bvtkMhl27dqlNc/V1VVrP/fv38fAgQNRqVIlVKlSBaGhobh165a0/OjRo3j55Zfh4OAAV1dXtG7dGrdv337m/s6dO4eFCxdCJpNhwYIFAIBLly6hU6dOsLOzQ5UqVTB27FhkZmZK7xs+fDj69OmDxYsXw9vbG7Vq1Xpum57+3Dw9PVG1atXn9gMREZU/zOHmm8O9vLzQsWNHzJ8/H5cvX0ZCQsJz+4KorGDBTWQEs2bNwuTJkxEXF4du3brp9J5169bhvffewyeffIK4uDgsWrQI77//PjZt2lTk+lZWVnjzzTexceNGCCGk+du3b4dKpcKQIUOgVCrRpEkT7N27F5cvX8bYsWMxdOhQ/Prrr8Vum0KhQMeOHeHo6Ijo6GgcP34cjo6O6N69O1QqFXJzc9GnTx+0b98esbGxOHXqFMaOHfvMM8pJSUmoW7cu3n33XSQlJWH69OlQKBTo3r07KlWqhN9++w3bt2/HL7/8gkmTJmm999ChQ4iLi8PBgwexd+/eYreJiIioAHN42c7hBVchqNXqYvcDUWniJeVERjB16lT069dPr/d89NFHWL58ufS+wMBAXLlyBWvXrsWwYcOKfM/IkSPx6aef4ujRo+jYsSOA/EvR+vXrh0qVKqFSpUqYPn26tP7bb7+Nffv2Yfv27WjevHmx2rZ161ZYWFhg/fr1UgKOiIiAq6srjh49iqZNmyI9PR2vvfYaatSoAQCoU6fOM7fn6ekJKysrODo6wtPTE0D+Hy7Z2dn49ttv4eDgAAAICwtDr169sHTpUunstIODA9avX//My9AKpKenw9HRUWteq1atcODAgWL1ARERlV/M4WUrhz/t3r17+PTTT+Hr6/vcs+JEZQkLbiIjaNq0qV7r//XXX7h79y5GjRqFMWPGSPNzc3Ph4uLyzPfVrl0brVq1woYNG9CxY0fcuHEDMTExUiGZl5eHJUuWYNu2bbh//z5ycnKQk5MjJcDiOHfuHBISEuDk5KQ1X6lU4saNG+jatSuGDx+Obt264ZVXXkGXLl0wYMAAeHl56byPuLg4NGzYUCvO1q1bQ6PR4Nq1a1Kyrl+/vk6J2snJqdDgM/++T4+IiAhgDi9rObzgR3MhBBQKBRo3bowdO3boVagTmRILbiIj+HcytLCw0LpkDNC+FEqj0QDI/1X4379av2hAkFGjRmHSpElYs2YNIiIiEBAQgM6dOwMAli9fjs8//xwrV65E/fr14eDggKlTp0KlUj1zezKZ7IWxNmnSBN9//32h97q7uwPI/7V88uTJ2LdvH7Zt24Z58+bh4MGDaNGixXPbUkAI8czL156er+sfHRYWFggKCtJpXSIiqtiYw8tWDi/40dzCwgJVq1Yt0Q8ORKbAgpuoFLi7uyM5OVkrCV28eFFaXrVqVfj4+ODmzZsYMmSIXtseMGAApkyZgi1btmDTpk0YM2aMtI+YmBiEhobijTfeAJCfaOPj4597eZi7u7vWKK7x8fFQKBTS68aNG2Pbtm3w8PCAs7PzM7cTEhKCkJAQzJkzBy1btsSWLVt0TtbBwcHYtGkTsrKypMR64sQJWFhY8BIyIiIqVczhps3h/NGczB0HTSMqBR06dMBff/2FZcuW4caNG1izZg1+/vlnrXUWLFiAxYsXY9WqVbh+/TouXbqEiIgIrFix4rnbdnR0xMCBAzF37lw8ePBA6xmiQUFBOHjwIE6ePIm4uDiMGzcOycnJz91ep06dEBYWhvPnz+Ps2bMYP3681iNRhgwZAjc3N4SGhiImJgaJiYk4duwYpkyZgnv37iExMRFz5szBqVOncPv2bRw4cADXr19/7h8I/zZkyBDI5XIMGzYMly9fxpEjR/D2229j6NChxRpdXAiB5OTkQlPBWQkiIqJnYQ43bQ4nMncsuIlKQZ06dRAeHo41a9agYcOGOHPmjNZAKAAwevRorF+/Hhs3bkT9+vXRvn17bNy4EYGBgS/c/qhRo/D48WN06dIF/v7+0vz3338fjRs3Rrdu3dChQwd4enqiT58+z93W8uXL4efnh3bt2mHw4MGYPn067O3tpeX29vaIjo6Gv78/+vXrhzp16mDkyJHIzs6Gs7Mz7O3tcfXqVfTv3x+1atXC2LFjMWnSJIwbN07n/rK3t8f+/fvx6NEjNGvWDP/5z3/QuXNnhIWF6byNp2VkZMDLy6vQ9PDhw2Jtj4iIKg7mcNPmcCJzJxP/vtGDiIiIiIiIiEqMZ7iJiIiIiIiIjIAFNxEREREREZERsOAmIiIiIiIiMgIW3ERERERERERGwIKbiIiIiIiIyAhYcBMREREREREZAQtuIiIiIiIiIiNgwU1ERERERERkBCy4iYiIiIiIiIyABTcRERERERGREbDgJiIiIiIiIjKC/wfGzXyCJlWkhgAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "<Figure size 1000x1000 with 4 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "########################################################################################\n",
+    "#\n",
+    "#                    Validation of the neural net\n",
+    "#\n",
+    "########################################################################################\n",
+    "# assert the loss of the model\n",
+    "predicted_values = gpgh.predict(test_output_gp)\n",
+    "model_perf = evaluate_predictions(test_elastic_gp, predicted_values)\n",
+    "model_perf.to_csv('model_perf/gpgh_2^10.csv')\n",
+    "\n",
+    "# Plot the true vs predicted values\n",
+    "plot_true_vs_predicted(test_elastic_gp, predicted_values, 'elasticity_from_hydration_product_gp')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "cc19c80d-18aa-447c-ae6f-0179acb15432",
+   "metadata": {},
+   "source": [
+    "# Combination of the model 1 and 3 and comparaison with model 2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "ea3e97b8-abe9-42be-8796-b88959a58358",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "7/7 [==============================] - 0s 6ms/step\n",
+      "7/7 [==============================] - 0s 1ms/step\n",
+      "7/7 [==============================] - 0s 1ms/step\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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vl5Yvt+uafd5Nev6coZLBoPG/F6pPUoIyqu3/XXVtRyPSGcWOQEb+DAAAACDQtYmP1ILhqcopMOtocamaRYTKGFPPwfBAAAnydwAAAAAA/OtAXpHGL8vUhfPWafDCTXonc7+mvpNltxf3+uwcTVueJVOh2bUTHzokJSVJERF2hfDcZf/VjS99ped7XiUZDJKkHw/ma9agbuqbbLQ5tqYR6VWj2NPdeA7QUC1cuFCJiYmKiIhQ9+7dtWHDBqfHZmRkKC0tTQkJCYqMjNRpp52m+fPn2xzz3XffaejQoerYsaMMBoOeeuqpel8XAAAAQMMTFxWmTi1idGb75urUIoZcGo2KSzPDmzdvLsNfN6hq8+eff7p88dmzZ+udd97RDz/8oMjISPXu3Vtz587Vqaeeaj2moKBA06ZN08qVK5Wbm6uOHTtq4sSJuv32212+DgAAAADHTIVmTV1uW/hObRevZ9fscnj8+uwc5RSYa06Mt26Vune3bzcYpB07pC5dlCBpwV+z0auPPH+22oj0mIgQHSspU+beIw6Xa2cUOwKJt/Lnt956S5MmTdLChQuVlpam559/Xpdeeqm+//57tW/f3u746OhojR8/XikpKYqOjlZGRobGjBmj6Oho3XbbbZKkwsJCnXzyybr66qs1efJkj1wXAAAAAIBAYrBYLJbaDnrllVdcPuHIkSNdPvaSSy7Rtddeq7PPPltlZWX65z//qe3bt+v7779XdHS0JOnWW2/VF198oZdeekkdO3bUqlWrNG7cOC1fvlwDBw6s9Rr5+fmKi4uTyWRSbGysy7EBAAAATcHuwwW6cN46m7aF15+lca9vdfqcleN668z2ze073n5bGjbMvj01VfrsM+mEE9yO70BekV2xvs7LtQMuqk8e6a38uWfPnjrrrLO0aNEia1vnzp01aNAgzZ4926VzDBkyRNHR0Xrttdfs+jp27KhJkyZp0qRJ9b5uSUmJSkpKrI/z8/PVrl078nIAAACgDo7f1szRAHGgsfF0bdelmeHuJOju+OSTT2weL1myRC1atNCWLVuUnp4uSfryyy81cuRInXfeeZKk2267Tc8//7w2b97ssBjuKOkGAAAA4Fh+caldW3hIzbspNYsI/fuBxSLNmCH961/2B958s/TCC1KIS2mHHUez1qW/l2tfMDyVGwAION7In81ms7Zs2aJp06bZtPfv31+bNm1y6RyZmZnatGmTZs2a5fXrzp49Ww899JDL1wEAAADgGAPEgfqr157hRUVFys/Pt/mpD5PJJEk64bgZI3369NF7772n/fv3y2Kx6IsvvtBPP/2kAQMGODzH7NmzFRcXZ/1p165dvWICAAAAGrPY4wvbf8ncl6e0pASHx6cnG2WMCZOKiqQrrpCCguwL4U89VVkkX7y4zoVwScopMNsVwqtULdcONBT1yZ9zcnJUXl6uli1b2rS3bNlShw4dqvG5bdu2VXh4uHr06KE77rhDo0eP9vp1p0+fLpPJZP3Zt2+fy9cEAAAAUKm2AeKmQnJiwBVuF8OPHTum8ePHq0WLFoqJiVHz5s1tfurKYrFoypQp6tOnj7p27Wptf+aZZ9SlSxe1bdtWYWFhuuSSS7Rw4UL16dPH4XlIugEAAADXGWPClJ5stGlbnLFHN6clqk+1gnh6slGP90pQ3CknS1FR0ocf2p5s1arKIvidd3okNkez1o93tJZ+wN88nT9X34vcYrHUuj/5hg0btHnzZj333HN66qmntGzZMq9fNzw8XLGxsTY/AAAAANzDAHHAM9yepnHvvffqiy++0MKFC3XjjTfq3//+t/bv36/nn39ec+bMqXMg48ePV1ZWljIyMmzan3nmGX311Vd677331KFDB61fv17jxo1T69atddFFF9mdJzw8XOHh4XWOAwAAAGhK4qLCNGdoiqYtz9L6v5LsQnO53vpmr+YOTVFxaYWOFpfK+N02tb3sXPsTREZK334rJSd7PDZHs9aP16yWfsDfPJU/G41GBQcH283GPnz4sN2s7eoSExMlSd26ddPvv/+umTNnavjw4V6/LgAAAID6YYA44BluF8Pff/99vfrqqzrvvPM0atQo9e3bV0lJSerQoYNef/11XX/99W4HMWHCBL333ntav3692rZta20vKirSfffdpxUrVujyyy+XJKWkpGjbtm164oknHBbDAQAAALinTXykFgxPVU6BWUeLS9UsIlTGmLDK/bhffVVytAdyr17Sxx9LcXFei6tq1vp6ByPhrcu1AwHMU/lzWFiYunfvrtWrV2vw4MHW9tWrV2vgwIEux2OxWFRSUuLy8Z66LgAAANBQmQrNyikwK7+4VLGRoTJG/5Ur+wADxAHPcLsY/ueff1pHlsfGxurPP/+UVLm39+233+7WuSwWiyZMmKAVK1Zo7dq11vNWKS0tVWlpqYKCbFdzDw4OVkVFhbuhAwAAAHDi+GQ+v7BECTPvkxYtsD/w9tulBQuk4GCfxFR91rpUWQifOzTFZzcggLryZP48ZcoUjRgxQj169FCvXr30wgsvaO/evRo7dqykyi3D9u/fr1dffVWS9O9//1vt27fXaaedJknKyMjQE088oQkTJljPaTab9f3331v/e//+/dq2bZtiYmKUlJTk0nUBAACAxupAXpHdnt3pyUbNGZqiNvGRXr8+A8QBz3C7GH7yySfrl19+UYcOHdSlSxe9/fbbOuecc/T+++8rPj7erXPdcccdeuONN/Tuu++qWbNm1qXX4uLiFBkZqdjYWPXr10/33HOPIiMj1aFDB61bt06vvvqq5s2b527oAAAAAJw4kFekB17/Sjc9Pll9fv3W/oDnnpPGjPF5XDXOWgcCnCfz52HDhik3N1cPP/ywDh48qK5du+qjjz5Shw4dJEkHDx7U3r17rcdXVFRo+vTp2rNnj0JCQtSpUyfNmTNHY477HB84cECpqanWx0888YSeeOIJ9evXT2vXrnXpugAAAEBjZCo02xXCpcq9uqctz9KC4alez0sZIA54hsFisVjcecL8+fMVHBysiRMn6osvvtDll1+u8vJylZWVad68ebrzzjtdv7jB4LB9yZIluummmyRJhw4d0vTp07Vq1Sr9+eef6tChg2677TZNnjzZ6fOPl5+fr7i4OJlMJsXGxrocGwAAANBU5P+QLcPZZ6tZgcmu71/3LNT4mbeQZKNJ8VQe6cn8uSEjLwcAAEBDs/twgS6ct85p/+dT+qlTixifxFK1VDsDxNFUeDqHdHlm+KRJkzR69GhNnjzZ2nb++efrhx9+0ObNm9WpUyedccYZbl3clTp8q1attGTJErfOCwAAAMAF69dL/fqpelqRFxGjK0Y+pd/iW0mSri0wk2gDbvBG/gwAAADAd/KLS2vsP1pLvyfFRVH8BuojqPZDKn3yySc644wzdM455+iFF15Qfn6+JKl9+/YaMmQIiTwAAADQULzwgmQwSP362TRvap+iLpP/ozPvfNNaCJd8m+QDjQH5MwAAANCwxUaE1tjfrJZ+AIHD5WL4Dz/8oPXr16tbt266++671aZNG914441av369N+MDAAAA4Anl5dIdd1QWwavt/Z035g4l3vuerhv+qArDIu2eSpIPuIf8GQAAAGjYjDFhSk82OuxLTzbKGMNMbTQwFov0zDPSGWdIH3/s72h8yuViuCSlpaXp5Zdf1qFDh7RgwQL98ssvOu+885ScnKw5c+bowIED3ooTAAAAQF2YTFJamhQSIi1caNu3ZIlkscgwb576ntLC4dNJ8oG6IX8GAAAAGq64qDDNGZpiVxBPTzZq7tAUli1Hw7F2rRQRIQUFSXfeKWVlSQ8+6O+ofMpgcWXj7hrs3r1bixcv1qJFi1RQUCCz2eyp2DzC05usAwAAAA3Crl2Vo30LC+37Nm2SevWyaTqQV6Rpy7O0PjvH2laV5LeOt58tDjRm3sojAz1/9hbycgAAADRUpkKzcgrMOlpcqmYRoTLGsH83GoB9+6Rhw6Qvv3Tc/+WX0rnn+jYmN3g6hwypz5OPHTumdevWad26dcrLy9Opp55a74AAAAAA1MNnn0kXX2zf3qaN9PXXUtu2Dp/WJj5SC4ankuQDXkL+DAAAADQ8cVHkxWggioqku++2XxWwygUXSP/3f1Lr1r6NKwC4tUx6lfXr1+vmm29Wq1atdOedd+qUU07Rhg0btHPnTk/HBwAAAMAVzzxTuR949UL4ZZdJx45J+/c7LYRXiYsKU6cWMTqzfXN1ahFDwg94APkzAAAAAMArLBbppZcq7wdFRdkXwps3r5wFbrFIn3/eJAvhkhszw3/77Te98sorWrp0qXbv3q2ePXtq/vz5uvbaaxUTE+PNGAEAAAA4UlYm3XZb5d7f1d13nzRrVmVCBMCnyJ8BAAAAAF7z1VeVkx+OHHHc/8IL0ujR3BP6i8vF8I4dOyohIUEjRozQLbfcos6dO3szLgAAAADO/PmndNFFUmamfd+bb1buCwXAb8ifAQAAAAAedeiQdMMNlTO8Hbn9dunJJ6XISN/G1QC4XAx/++23deWVVyokpF7bjAMAAACoq507pdNPr1zeqrrNm6Xu3V0+lanQrJwCs/KLSxUbGSpjNPugAZ5C/gwAAICGgtwQCGBms/TPf0pPPOG4/9xzKydFdOjg27gaGJcz8yFDhngzDgAAAADOfPihdMUV9u2dOkkZGVKrVm6d7kBekaYuz9KG7BxrW3qyUXOGpqhNPCOIgfoifwYAAEBDQG4IBKg33pCuv95xX3i49PHH0vnn+zamBizI3wEAAAAAcMBikR57rHJ/p+qF8KFDpeJiadcutwvhpkKz3c0OSVqfnaNpy7NkKjTXN3IAAAAAQIAjNwQCzLZtUrt2lfeBHBXCn3pKqqiovB9EIdwtFMMBAACAQGI2S9ddJwUFSVOn2vY98khl4vPf/1aOBK6DnAKz3c2OKuuzc5RTwA0PAAAAAGjsyA2BAJCbK115ZWUBPDVV+u032/6RI6WjRysnTNx5Z+VxcBsbmAEAAACB4I8/pH79KvcFr27FCmnQII9cJr+4tMb+o7X0AwAAAAAaPnJDwE/KyionOzz8sOP+lJTKSRDJyb6NqxFze2b4qFGjdPToUbv2Y8eOadSoUR4JCgAAAGgysrIqR/a2aGFfCM/Kqhz966FCuCTFRoTW2N+sln4AriN/BgAAQKAiNwR8bMWKyvs/oaGOC+EffVR5D+jbbymEe5jbxfBXXnlFRUVFdu1FRUV69dVXPRIUAAAA0OhVJUFnnGHbfvrpyv/lN+3+/agy49pq9x8FHt2rzRgTpvRko8O+9GSjjDFhHrsW0NSRPwMAACBQkRsCPrBzp3TKKZX3f4YMse+fPVsqL68sgl96qe/jayJcXiY9Pz9fFotFFotFR48eVUREhLWvvLxcH330kVq0aOGVIAEAAIBGwWKpXArrwQft+66/Xlq8WAcKyzV1eZY2ZG+zdqUnGzVnaIraxEfWO4S4qDDNGZqiacuztP64/eHSk42aOzRFcVHc8ADqi/wZAAAAgY7cEPASk0kaM0Z66y3H/VdfLb3wghQf79OwmjKXi+Hx8fEyGAwyGAw65ZRT7PoNBoMeeughjwYHAAAANArFxdJ111XOBq/u8celu++WJJkKzX8VwnNsDlmfnaNpy7O0YHiqR25ItImP1ILhqcopMOtocamaRYTKGBPGzQ7AQ8ifAQAA0BCQGwIeUlFReX9n2jTH/UlJ0sqV0umn+zQsVHK5GP7FF1/IYrHoggsu0PLly3XCCSdY+8LCwtShQwe1adPGK0ECAAAADdLBg1KvXtKvv9p3vfFfRQ38h81NhpwCs10hvMr67BzlFJg9dlMiLoobHIC3kD8DAACgoSA3bFhMhWblFJiVX1yq2MhQGaP5+/nVJ5/UvLz5f/8rDR3qu3jgkMvF8H79+kmS9uzZo/bt28tgMHgtKAAAAKBB27xZOvtsu+ay4GANuPlZ7U5oJ30rpRdm2ix/nl9cWuNpj9bSDyAwkD8DAAAA8LQDeUV2q8l5cls1uGj3bumqq6Rt2xz3339/5fZ4IS6XYOFlQe4+Yc2aNfrvf/9r1/6f//xHr7zyikeCAgAAABqkZcskg8GuEF52VneNeXqVku5+t7IQ/peq5c9/zy/W7sMFCg+p+et5s4hQr4QNwDvInwEAAAB4Qm3bqpkKzX6KrIk4dkwaNarynk9Skn0h/PLLpcOHJYtFeuQRCuEBxu1i+Jw5c2Q0Gu3aW7RooUcffdQjQQEAAAANhsVSuSeUwVC5L/jxRo+WSkv168dr9ekBx4np+uwc7T5coAvnrdNHOw4pLSnB4XHpyUYZY1j6DGhIyJ8BAAAAeIIr26rBwywWacGCyvs9MTHSkiW2/a1bS1u2VB73wQfSiSf6J07Uyu2hCb/++qsSExPt2jt06KC9e/d6JCgAAAAg4BUWSkOGSJ9+at+3YIE0frz1YW3Ln+cVVfYvztijZ4anSpI27sq19qcnGzV3aAr7gAENDPkzAAAAAE9gWzUfWrdOuuQSqbjYcf9rr0k33ODbmFAvbhfDW7RooaysLHXs2NGm/dtvv1VCguNZLAAAAECjsW9f5TLov/9u3/f559IFF9g1x9ayvHnV8uiF5nJNXJapUX0SNSotUXGRoWoeFSZjTBiFcKABIn8GAAAA4Am13VdgW7V62rdPuvZaadMmx/1TpkiPPiqFh/s2LniE28ukX3vttZo4caK++OILlZeXq7y8XGvWrNGdd96pa6+91hsxAgAAAP63aVPl0ljt29sWwps1k3btqlwWy0EhXJKMMWFKT7ZfKlmS0pISlLkvz/q40FyuZ9fs0i2vbFZIkEGdWsRQCAcaKPJnAAAAAJ5Q030FtlWro+LiylX9qu71VC+En3++dOBA5f2eJ5+kEN6AuT0zfNasWfr111914YUXKuSvDeArKip04403sucZAAAAGixToVk5BWblF5cqNjJUxui/ZmMvWSKNGmX/hL59K/eEio2t9dxxUWGaMzRF05Znaf1xe3z1TTZqZO+Omrgs0+HzGNkNNGzkzwAAeI/T7+8A0Ag5u6/AtmpuslikxYul0aMd98fHSx9+KPXu7dOw4F0Gi8ViqcsTf/rpJ3377beKjIxUt27d1KFDB0/H5hH5+fmKi4uTyWRSrAs3KgEAAND0HMgr0tTlWdrwV0JpsFToua2va8Bnb9kfPGGCNH++TCXltd58O/4GXVxkqKLDQ1RQXKajxaVqFhGqmIgQ3b9iu1bvPGx3mfRkoxYMTyWhBfzA03lkQ8mfvYW8HADgadW/v0uV35/nDE1Rm/hIP0YGAN5VdZ+h6r4C26q56JtvpMsuk3JzHfc//7x0662Vs8Thd57OIetcDG8oSLoBAABQE1OhWeOXZWpDdo6iSwr18vKHde6+HfYHvviideSwKzffXL1BdyCvyOnI7tbcyAP8gjzSs3g9AQCedPz39+oYUAoAsDp0SBoxQvrsM8f9Y8dWLn8eFeXbuFArT+eQbi+TPsrREpHHWbx4cZ2DAQAAAHzFVGjW4aMlyiss1e0dgvTincMVceyo3XH73/tUJ/2jv83zqhe5JWl9do6mLc/SguGpklTrMVU36NrER2rB8FRGdgONEPkzAACel1NgdlgIlyq/b+cUmPkuDQBNldks3X+/9Pjjjvt79pTeektqYqt1NXVuF8OPHDli87i0tFQ7duxQXl6eLrjgAo8FBgAAAHjLgbwiTf1vlkrXrNGby+6z68+JitPAG+drf1wLrTzjbJ30V7up0KyDpuJab75JcusGXVwUxW+gMSJ/BgDA8/KLS2vsP1pLPwCgEVq2TLruOsd9oaHSJ59I5GBNltvF8BUrVti1VVRUaNy4cTr55JM9EhQAAADgLaZCsz4dP1Ovvf6YXd/2LudozeznNH/TAWtbs4hQSX8vez78nPY1nv9ocalq24eIG3RA00D+DACA58X+9f3cmWa19AMAGolvv5WuuEL67TfH/fPnS3feyT7gUJBHThIUpMmTJ2v+/PmeOB0AAADgeeXl0tixiosO183VCuHPnTNEife+p3/84wF1TW5jbe+bbFRMRIjN0ujhITV/hW4WEcoNOgBOkT8DgGOmQrN2Hy5Q5t4j2v1HgUyFZn+HhABljAlTerLRYV96slHGGFZcAoBGKzdXGjiwssB95pn2hfAbb5Ty8yWLRZo0iUI4JNVhZrgzu3fvVllZmadOBwAAAHhGXp50ySXS11/bdU2+fIpWdLVdJqukrEKSlJaUoJG9O+r+Fdv1z8u7aMuvlcsdZ+7LU1pSgjbuyrU73/E339KTjVrvYKl0btABIH8GAFtVK/Acv81MerJRc4amqE18pB8jQyCKiwrTnKEpmrY8y+b7dnqyUXOHprD9EAA0NmVl0qxZ0kMPOe7v1k1avlxKTvZtXGgw3C6GT5kyxeaxxWLRwYMH9eGHH2rkyJEeCwwAAACol59+klJSpJISu65BI57UtjanOnxa2+aRenlkD2Xuy9PEZZkqNJeruKxCo/ok6tk1u7Q4Y4+eGZ4qSTYF8eo337hBB4D8GQBqd/wKPMdbn52jacuztGB4Kt+dYKdNfKQWDE9VToFZR4tL1SwiVMaYMN4rANCYvPuuNGiQ8/4PPpAuv9xn4aDhcrsYnpmZafM4KChIJ554op588kmNGjXKY4EBAAAAdbJqlTRggH17u3bSl1/K1PxExS7LlBzM2k5LStCq73/Xs2t22bRvyM7RTb07SpIKzeWauCxTo/okalRaokrKKnSyMVqt4yJsbr5xgw4A+TMA1C6nwGxXCK+yPjtHOQVmvj/BobioxvXd2lRoVk6BWfnFpYqNDJUxunH9fgDgkh9+qCyA//ij4/5//UuaOlUKDvZpWGjY3C6Gf/HFF96IAwAAAKifp56SJk+2b//HP6S33pIiK5fYjFPlrO3qM5D6JiVoZFqiJi7LtD9HNYXmcmvBPD3Z6HTGUmO7QQfAPeTPAFC7/OLSGvuP1tIPNAZsFQCgSTOZpLFjpTffdNx/1VXSCy9IzZv7Ni40Gh7bMxwAAADwudJSafRo6dVX7ftmzKjcT8pgsOtqEx+pZ4en6vDREpmKShUVFqzI0GBdviBDheZyh5dq2zzSbh9wlj0HAACon9iI0Br7m9XSDzR0bBUAoEmqqJCeeKJylrcjnTpJK1dKXbv6NCw0Ti4Vw1NTU2VwcBPRka1bt9YrIAAAAKBWubnSBRdIWVn2fW+/LV19da2nqD5r21RoVo8OzW2K3VXSk41qFRvBsucAakX+DADuMcaE2Q04rJKebJQxhu9aaNzYKgBAk+Jsa7sq//lP5UxwwINcKoYPOm6D+uLiYi1cuFBdunRRr169JElfffWVvvvuO40bN84rQQIAAACSpO++cz4qeOtWKTW1zqeOiwrTnKEpmrY8q8bZ39yIAlAT8mcAcI+r38HgH+xj7X1sFQCg0fv558oCd6aTben++U/pwQelUFaDgXe4VAx/8MEHrf89evRoTZw4UY888ojdMfv27fNsdAAAAIAkvf++dOWV9u3JydKGDVLLlh65TJv4SGZ/A6gX8mcAcB/fwQIT+1j7BlsFAGiUjh2TJk6UFi923H/ZZdLSpdKJJ/o0LDRNBovFYnHnCXFxcdq8ebOSk5Nt2rOzs9WjRw+ZTCaPBlhf+fn5iouLk8lkUmxsrL/DAQAAgKssFmnOHOm+++y6Cq4crPKlryiueTM/BAagsfNUHtnQ8mdvIS8HgIbHVGjW+GWZDpfvTk82so+1B5kKzZqwLNPpVgG81gAaDItF+ve/pQkTHPe3aiV98IHUvbtv40KD4+kcMsjdJ0RGRiojI8OuPSMjQxEREfUOCAAAAE2c2SwNGyYFBdkVwh9Lv1Ed731fXTvfognvfK8DeUV+ChIAakf+DABoqFzZxxqeUbVVQHqy0aadrQIANBjr10tRUZX3cRwVwl99tbJQfvAghXD4hUvLpB9v0qRJuv3227Vlyxade+65kir3PFu8eLEeeOABjwcIAACAJuL336W+faXsbLuueeMf0zPRXWza1mfnaNryLGZKAAhY5M8AgIaKfax9i60CADQ4v/0mXXuttHGj4/7Jk6XZs6XwcN/GBTjgdjF82rRpOvnkk/X000/rjTfekCR17txZS5cu1TXXXOPxAAEAANDIZWZKZ53luG/7du1u0VHPzFvnsLtqVgo3iQAEIvJnAEBDxT7WvhcXRfEbQIArLpbuuUd69lnH/eedJ73+utSmjU/DAmrjdjFckq655hoSdwAAANTPf/8rXX21fXu3btKaNZKxcpnA/L1HajwNs1IABDLyZwBAQ2SMCVN6stHpPtbGGIq2ANAkWCzSkiXSLbc47o+NlT76SEpL821cgBvqVAyXpC1btmjnzp0yGAzq0qWLUlNTPRkXAAAAGiOLRXrwQemRR+z7RoyQXn5ZCrWdZcKsFAANHfkzAKChqdrHetryLJuCOPtYA0AT8c030uWXSzn2g6IkSc89J912m2Qw+DYuoA7cLoYfPnxY1157rdauXav4+HhZLBaZTCadf/75evPNN3XiiSe6fK7Zs2frnXfe0Q8//KDIyEj17t1bc+fO1amnnmpz3M6dOzV16lStW7dOFRUVOv300/X222+rffv27oYPAAAAfygqkoYNk95/377vySelKVOcPpVZKQAaKk/mzwAA+Br7WANAE/P775UTFVavdtw/Zow0b54UFeXbuIB6CnL3CRMmTFB+fr6+++47/fnnnzpy5Ih27Nih/Px8TZw40a1zrVu3TnfccYe++uorrV69WmVlZerfv7+OHTtmPWb37t3q06ePTjvtNK1du1bffvutZsyYoYiICHdDBwAAgK8dOCC1b1+ZKFUvhH/ySeVM8RoK4dLfs1LSk4027cxKARDoPJk/AwDgD3FRYerUIkZntm+uTi1i+O7tJlOhWbsPFyhz7xHt/qNApkKzv0MCAFulpdLUqZUzvFu1si+En3OOtGdP5f2b556jEI4GyWCxWCzuPCEuLk6fffaZzj77bJv2b775Rv3791deXl6dg/njjz/UokULrVu3Tunp6ZKka6+9VqGhoXrttdfqdM78/HzFxcXJZDIpNja2zrEBAADADd98I/Xsad8eFiZlZUnVVgJyhanQzKwUAD7hqTzSm/lzQ0JeDgBoig7kFWnq8ixtqLbM/JyhKWoTH+nHyABA0ltvSdde67gvNLRyAsMFF/g2JuAvns4h3Z4ZXlFRodBQ+30ZQ0NDVVFRUa9gTCaTJOmEE06wXuvDDz/UKaecogEDBqhFixbq2bOnVq5c6fQcJSUlys/Pt/kBAACAj/zf/1WOJq5eCO/ZUzpyRCopqVMhXGJWCoCGx5v5MwAg8DEruOkyFZrtCuGStD47R9OWZ/FeAOAf334rdehQed/GUSF83jypvFwymymEo1Fxuxh+wQUX6M4779SBAwesbfv379fkyZN14YUX1jkQi8WiKVOmqE+fPurataukyv3VCgoKNGfOHF1yySVatWqVBg8erCFDhmjdunUOzzN79mzFxcVZf9q1a1fnmAAAAOCCigrp3nsrk6kRI2y6Sm4Zrd0H8pT59sfaXRrCTR8ATYq38mcAQOA7kFek8csydeG8dRq8cJMufHKdJizL1IG8In+HBh/IKTDbFcKrrM/OUU4BeREAH/nzT2nQoMp7NmeeKe3da9s/YoSUn1+5DPrkyVKQ22VDIOC5vUz6vn37NHDgQO3YsUPt2rWTwWDQ3r171a1bN7377rtq27ZtnQK544479OGHHyojI8N6jgMHDuikk07S8OHD9cYbb1iPvfLKKxUdHa1ly5bZnaekpEQlJSXWx/n5+WrXrh3LsQEAAHjasWPS4MH2+0lJ0sKFOjD8JpYFBNAgeWpJNm/lzw0Ny6QDaGpMhWaNX5bpsBianmzUguGprHLUyGXuPaLBCzc57V85rrfObN/chxEBaFLKy6VZs6SZMx33n3669M470imn+DQswFWeziFD3H1Cu3bttHXrVq1evVo//PCDLBaLunTpoosuuqjOQUyYMEHvvfee1q9fb3MzwGg0KiQkRF26dLE5vnPnzsrIyHB4rvDwcIWHh9c5FgAAANRi716pRw/pjz/s+9askc4/v3JZQAc3AKuWBeQGIICmwBv5MwDAPaZCs3IKzMovLlVsZKiM0WFe/x7qyqxgvgs3brER9tukHK9ZLf0AUCfvvScNHOi8//33pSuu8F08QIBwqxheVlamiIgIbdu2TRdffLEuvvjiel3cYrFowoQJWrFihdauXavExESb/rCwMJ199tn68ccfbdp/+ukndejQoV7XBgAAgJsyMqS+fe3b4+KkrVulk0+2NnEDEEBT5+n8GQDgvgN5RX5ZqSi/uLTG/qO19Dc2/hiQ4G/GmDClJxu13snqAMaYxv37A/AhZ/dqqsyaJU2bJgUH+y4mIMC4VQwPCQlRhw4dVF5e7pGL33HHHXrjjTf07rvvqlmzZjp06JAkKS4uTpGRlV9I77nnHg0bNkzp6ek6//zz9cknn+j999/X2rVrPRIDAAAAbFW/WdV2xj0Kf/45+wP79ascVdysmV0XNwABNHWezp8BeEdTLNIFEm++/qZCs10hXPLNSkXMCv6bvwYk+FtcVJjmDE3RtOVZNgXx9GSj5g5N4d8ZAPXzxx9S27aS2ey4f+hQ6cUXpeZsxwBIdVgm/f7779f06dP1f//3fzrhhBPqdfFFixZJks477zyb9iVLluimm26SJA0ePFjPPfecZs+erYkTJ+rUU0/V8uXL1adPn3pdGwAAAPaqblZt/PF3ff7SWCUeOWh/0J13SvPmSUFBTs/DDUAA8Gz+DMDzmmqRLlB4+/X350pFzAqu5M8BCYGgTXykFgxPVU6BWUeLS9UsIlTGGAbcAKij8nLpqquklSudH/PZZ9KFF/osJFRicGXgc7sY/swzz2jXrl1q06aNOnTooOjoaJv+rVu3unwui8Xi0nGjRo3SqFGj3IoTAAAA7jEVmvXI0vV6bfIlDvvzx4yTZd58l77QcwMQADybPwPwrKZepPM3X7z+/lypiFnBldg6qfK90Nh/R8BXmmzB8bnnpNtvd94/c6b04IM+Cwe2GFzZMLhdDB84cKAMBoM3YgEAAIC/bN6suLPP1iIHXRP+cY/e79JPL4/soVeWZbr0hZ4bgABA/gwEMop0/uWL19/fKxUxK5itkwJNky0kolFocgXHrVul7t2d9/fsKa1bJ4WH+y4m2GFwZcPhdjF85syZXggDAAAAfvHyy9Lo0Q67ps78P118zUX6fFmmZC5XSVmFW1/ouQEIoKkjfwYCF0U6//LF6x8IKxU19VnB/h6Q0NTUVOxucoVENCpNpuCYlyclJ0s5jgeLSZL27JE6dvRVRKgFgysbDucbPVZTWFioO+64QyeddJJatGih6667Tjk1fSgBAAAQuG68UTIYHBbCU+58Ux2nfqC3iuK1ZOMejeqTKEkKD6n86lj1hd4VcVFh6tQiRme2b65OLWJIAgA0Cd7KnxcuXKjExERFRESoe/fu2rBhg9NjMzIylJaWpoSEBEVGRuq0007T/Pnz7Y5bvny5unTpovDwcHXp0kUrVqyw6Z85c6YMBoPNT6tWrer9uwD+RpHOv3zx+letVJSebLRpZ6Ui36kakOAIWyd51oG8Io1flqkL563T4IWbdOGT6zRhWaYO5BXVWkg0FbqW2wH+4krBscGyWKSbbqq8P9O8ueNC+HvvVR5nsVAIDzAMrmw4XJ4Z/uCDD2rp0qW6/vrrFRERoWXLlun222/Xf/7zH2/GBwAAAE8pLZVOOkn64w+7rm9bJWvQjU/KYrAdK5m5N09TLzlNvU5OUHmFRYtvOltb9x7RsRLHX+hZeg8AvJM/v/XWW5o0aZIWLlyotLQ0Pf/887r00kv1/fffq3379nbHR0dHa/z48UpJSVF0dLQyMjI0ZswYRUdH67bbbpMkffnllxo2bJgeeeQRDR48WCtWrNA111yjjIwM9ezZ03qu008/XZ999pn1cXBwcJ1/DyBQBMKs4abMV68/KxX5F1sn+UZtxe4ZV3RpUjMXyUkbn0ZZcHz9demGG5z333WX9MQTvosHdcLgyobDYLFYLK4c2KlTJ/3rX//StddeK0n65ptvlJaWpuLi4oBOhPPz8xUXFyeTyaTY2Fh/hwMAAOB7Bw9Kbdo47ps2TZm336vBCzfZdUWFBeuZ4al6ZeMebdiVa21PS0rQvwZ1U0djtM3xLL0HoLGobx7pjfy5Z8+eOuuss7Ro0SJrW+fOnTVo0CDNnj3bpXMMGTJE0dHReu211yRJw4YNU35+vj7++GPrMZdccomaN2+uZcuWSaqcGb5y5Upt27bN5VhLSkpUUlJifZyfn6927dqRlyPgHMgrclqka813F6/j9W86qoqTDEjwjt2HC3ThvHVO+/8ztpeufu5Lp/0rx/XWme2beyM0nyMnbZxqe49/PqWfOrWI8WFEdfT999Lppzvv79xZ2rxZioryXUxe1BQGppgKzZqwLNPp4L5Gs4S/H3i6tuvyzPB9+/apb9++1sfnnHOOQkJCdODAAbVr167egQAAAMDDMjKk476/2Vi5Uho4UJIUe7jA4SGj+iRqycY92nhcIVySNu7K1QPv7rD5Ut9k9vACABd4On82m83asmWLpk2bZtPev39/bdpkP5jJkczMTG3atEmzZs2ytn355ZeaPHmyzXEDBgzQU089ZdOWnZ2tNm3aKDw8XD179tSjjz6qk08+2em1Zs+erYceesiluAB/Ytawf/H6Nx1NYe90fxZ9aps1Gx1W80C8xjJzMRBz0qZQDPSFBr2ay7Fj0plnSrt2OT9m507ptNN8FpIvNJWBKayA0nC4XAwvLy9XWJjtHy4kJERlZWUeDwoAAAD1sGCBNHGiw66sz79WyGmnKjo8RPGFlcvhOUssU9vF69k1jhO26svpubKHF0kAgKbC0/lzTk6OysvL1bJlS5v2li1b6tChQzU+t23btvrjjz9UVlammTNnavTo0da+Q4cO1XrOnj176tVXX9Upp5yi33//XbNmzVLv3r313XffKSEhweE1p0+frilTplgfV80MBwJRUyjSBTJfvf4UpOBN/i761LZMb3RYSMMtJLoh0HJSf78vGpMGV3C0WKRJk6RnnnF+zBtvSMOH+ywkXwrEgSnexOC+hsHlYrjFYtFNN92k8PBwa1txcbHGjh2r6Oi/l8h85513PBshAAAAXDNkiLRihcOu0QvW6LPfCqVVf0ir/lBaUoImXJCsDidEqXV8pMPEsjbH78vVKPfwAoA68lb+bDAY7K5Tva26DRs2qKCgQF999ZWmTZumpKQkDT/uxltt57z00kut/92tWzf16tVLnTp10iuvvGJT8D5eeHi4ze8OAP5EQQreFAhFn5pmzfZNNspgkB4d3E33rdhuV0h8eGBX/ZJ7TDHHzA1+kEgg5aSB8L5obBpEwfHdd6VBg5z333KL9OKLUi3f3xu6QBuY4gsMrgx8LhfDR44cadd2ww03eDQYAAAAuKm4WDrhBKmoyL7v/PNlev9jjV+2TRt22SYiVUufX5HSRpd1beUwsaywWGq89PHL6dU2G6GxLL0HAK7wdP5sNBoVHBxsNwv88OHDdjO7q0tMTJRUWcj+/fffNXPmTGsxvFWrVm6fMzo6Wt26dVN2dnZdfhUA8CkKUvC2QCj6OJs1m5aUoJG9O+qSpzcorVOCZg/ppuLSCh0tLlVkWLC27s3TZc9sUKG5XFLDHyQSSDlpILwvGqOALDj+/LPUqZPz/jZtKvcKj4vzXUx+ll9cqqiwYI3qk6jUdvEqKatQRGiwtu49osUZe5gsAb9wuRi+ZMkSb8YBAAAAd+zdK3Xo4LjvkUdkmnKvcgrMKjEV2xXCq2zclatRaYnWRLx6YmkqNLu8nF6D3sMLADzM0/lzWFiYunfvrtWrV2vw4MHW9tWrV2vgwIEun8disaikpMT6uFevXlq9erXNvuGrVq1S7969nZ6jpKREO3futNkTHQACFQUpeFugzEauGtx8+GiJ9v5ZKEnK3JenicsyVWgu1+qdh1VSVqEFw1NljAnT+GWZjW6QSCDlpIHyvoCXlJRIaWnSli3Oj8nMrNwrvAmKiwzVM8NTtWTjHput99KSEvTM8FTFRjJZAr4X5O8AAAAA4IbPP69cUstRIfzTTyWLRQfG36XxyzJ14bx1+iW3sMbTlZRVOE3Eq2YYpCcbbdod7cvlzrEAAPdNmTJFL730khYvXqydO3dq8uTJ2rt3r8aOHSupcp/uG2+80Xr8v//9b73//vvKzs5Wdna2lixZoieeeMJmhvqdd96pVatWae7cufrhhx80d+5cffbZZ5o0aZL1mLvvvlvr1q3Tnj179PXXX+uqq65Sfn6+w9nvABBoKEjB2wJpNnJcVJiCDAbd8spm3fLKZj27Zpd11rf09wAQVwaJNESBlJMG0vsCHvTAA5X3YyIiHBfCX3ihcr9wi6XJFsIlKTo8REs27rGuSFhl465cLd24R9HhLs/RBTyGdx0AAEBDMHeuNG2aw67vMrYp4pROMkaHSdWWggwPqXnsY3hIUI2JuDv7cjWIPbwAoIEaNmyYcnNz9fDDD+vgwYPq2rWrPvroI3X4a3DUwYMHtXfvXuvxFRUVmj59uvbs2aOQkBB16tRJc+bM0ZgxY6zH9O7dW2+++abuv/9+zZgxQ506ddJbb72lnj17Wo/57bffNHz4cOXk5OjEE0/Uueeeq6+++sp6XQAIZBSk4G2BNBtZcm0ASM2bYTXsQSKBkpMG2vsC9bB6tdS/v/P+q66S3npLCmLeaZWC4jK7QniVjF25KiguU8tYHweFJo9iOAAAQKCyWCqTrs8+s+8KC9MtT63Sml8LpPd/k/Sb0pON+uflnW1G+Wfuy1PfpARtcJCIpCUl6PDREvXo0LzGMNzZlysg9/ACgEZi3LhxGjdunMO+pUuX2jyeMGGCJkyYUOs5r7rqKl111VVO+9988023YgSAQEJBCt7mbL9uf62Q5YkBIA19kEgg5KSB9r6Am/bvl9q2dd4fFSX9+qtkNDo/pglzdVUWU2HlShX5xaWKjQyVMdr/n92moKm+7hTDAQAAAs2xY1JMjOO+K6+U6Y23Nf7NbQ73eBt5pMimbXHGHj17Xaokg83e4WlJCZpwQbI6nhDVJL70AgAAoOmhIAVfCJTZyJLrA0AYJOJ9gfS+gAvKyqQBA6Q1a5wfs2mT1KuX72JqoGoblBMbGaoDeUU2qxpKlf/+zBmaojbxkd4Osclqyq87xXAAAIBAsWuXlJzsuG/ePGnyZElSzuECp3u8VVdoLtf4NzJ1W/rJuvOiZFksUnR4sKLDQhQfFUoiDgAAgEaNghR8wZOzkesza8/VASCzBnXVfSu2K+O4FcT6JCVo1qCufDY8KBBmqaMWTzwh3XOP8/4nn5SmTPFdPI1AbYNyosNDdPd/vnU4wWPa8iwtGJ7K58YLTNW2VazSVF73OhXDf/rpJ61du1aHDx9WRUWFTd8DDzzgkcAAAACajA8+kP7xD8d9a9dK/frZNNW05FTmvjz1TTbafLktNJfrqc+ytfXXI43+yy0ABBryZwDwPwpSaCg8MWuvtgEgpkKzHv7ge53ZvrluTktUSVmFwkOClLkvT4988L2euPoMPi9o3DZtktLSnPdffLH00UdSSMObSxoIS2DXNiinoLjM6QSP9dk5yikwez3mQHidfC2nwOz3192f3P40v/jii7r99ttlNBrVqlUrGQwGa5/BYCCZBwAAcNWMGdKsWQ678rN/VmxSosO+mpacWpyxRx9N7KsH3t3BUpAA4GfkzwAAwFWenLVX0wCQnAKzPtt5WJ/tPOy0n7wRjc4ff0jt2kklJc6P2b9fatPGdzF5WCAtgR0dFqwZV3RRXlGpYsKCFXXc6oSZe4/U+Nyjtew5Xl+B9Dr5kqt7uTdWbhfDZ82apX/961+aOnWqN+IBAABo3CyWyj2mvv7arutIRDOdM/5VlQaHKn3dYc0xtnL4RbymJad6dGiu5lGhLAUJAAGA/BkA4ElNcSZbU+KrWXtNvSCCJqSiQrrqKmnFCufHrF4tXXSR72LykkBaArumYnNcVO17ijerpb8+Aul18jV/vu6BwO1i+JEjR3T11Vd7IxYAAIBGyVRoVu7BHJ2cdJLD/k3n9Nd150+0aavpi7ir+8A11i/wANBQkD8DADylqc5kq6+GNIDAV0Xqpl4QQRPwwgvSmDHO+x98UJo5s9bTNKR/PwJlCWxXis0xESF22/tVSU82yhjjvTgD5XXyh9r2cvfm6x4I3C6GX3311Vq1apXGjh3rjXgAAAAalcNfbVWLXt0V56hz0SLtHnKDrpu3zuFza/oi7mwfuOKyCv1wMF/5xWWKjQxR86gwtYyN8OwvBQBwCfkzAMATmvJMtvpoaAMIfFWkbuoFEQS+OhWhMzOls85y3n/OOdL69VJ4uEsxNLR/PwJlxYeais2bfz2iI4WlmvXh9xrZu6MqLBZt3JVr7ffF9n6B8jr5g6sTaxort4vhSUlJmjFjhr766it169ZNoaG2/xOeOHGik2cCAAA0If/9r3T11WrhoGvQiCfVrF+anrj6DOX9WVjjaWr6Il59H7i9ucc0fcV2m2SiT1KCHh3cTe0Tot3+FQAA9UP+DADwhKY8k62uGuIAAl8VqZt6QQSBza0itMkknXqq9Pvvzk/4889SYqJbMTTEfz8CZcWHmorNo/okasbK7dqwK1ebdudqVJ9EjUpLVElZheIjQ9WpRYzXJ3MEyuvkL84m1gTa+9kb3C6Gv/DCC4qJidG6deu0bp3tLCaDwUAyDwAAmra77pLmzXPY1X38/yk3Or7yQXaOdh8uUFykZ76I/55fbFcIl6SMXbm6b8V2PXnNmcwQBwAfI38GAHhCU57JVlcNcQCBL4vUTbkggsDlUhE6MlQaNUpautT5id59V7ryyjrH4c6/H4GwlLqp0KwKi0Uvj+whg8GgrXuPaHHGHhWayyX5dsWHmorNqe3i9eyaXZKkQnO59b+rfD6ln1rGejU8VsaQ/cSapsLtYviePXu8EQcAAEDDVVEhpaRI331n1/Vb7InqN+YllQcF2/XlFZXql9xj6puUoA3VitiS1NeNL+JHjpntCuFVMnbl6sgxM8VwAPAx8mcAgCc09ZlsddFQBxD4skjdVAsicJ+vCr41FaHj3/2v4kaf6/zJkydLTz4pGQz1jsPVfz8CYSl1RzGkJSXomeGpmrgsUz06NK/XYBp3//Y1FZtr44t/l1kZo+lyuxh+PIvFIqlyRDsAAECT8+efUkKC475bb9XuWfN0oZP9wCUpPCRIsz7cqZXj0vTQB9/ZFLPTkhL00JWnu/xFPL+4rF79AADvIn8GANQVM9nc15AHEFQvUpsKzdp9uMBhMSoQZqWicfNlwbd6EbpTzj59/vLtzp9w6qnSli1StGe3hXPl349AWErdWQwbd+UqyGDQxxP7Kj4qtM5x1OVvX1OxuW3zmt8vvvp3mZUxmqY6FcNfffVVPf7448rOzpYknXLKKbrnnns0YsQIjwYHAAAQkLZtk1JTHfe98op0442SJGOh2elNq7SkBGXuy1OhuVx7co8ptX1z615J4SFBytyX51ZIsRE1f62rrR8A4B3kzwDQNHmySMlMNvd5ewCBr4rQNRWjDJLu9fOsVDRuvi74xkaEKtJcrA9euVOd/tzv/MDvv5c6d/bYdatz5d+PQNiKoaYYNmTnqKzCUq8Z4XX92zsrNksKmIFdrIzR9Lh9V3TevHmaMWOGxo8fr7S0NFksFm3cuFFjx45VTk6OJk+e7I04AQAA/O+116yF7upmPPCKbp98tc1Nh6qbVo6WrLo5LVETl2VKkkKCDHZ7JfVNNurWPokuh9Y8Okx9khKU4WCp9D5JCWoezZd8APA18mcAaJq8MZOSmWzu8eYAAl/NlK2tGHVpt9Z+nZXqDmawN0w+K/haLNKUKer01FPa6eSQRbc+pOuemuaT940r/378nHOsxnP4YslvU5HZazHU92/vrNjMwC74i9vF8AULFmjRokW68bgbwQMHDtTpp5+umTNnkswDAIDG57bbpBdfdNh1xsRlMkU2k0qkXx3cdGgTH6knrj5Duw8XKK+o1Drre+KyTBWay9U3yajf84ttzpmWlKBHBnZ1KxFoGRuhRwd3030rttsUxPskJejRwd3YLxwA/ID8GQCaHm/OpKwqLlQVFn/OOabYSHOTLCy6Ulz1xgACX86Ura0YNbJ3R6d9vpiV6qpA2FcZdePq3tl19t570sCBTrvf6naxpl46UemnnOjzYmlt/374eyuGA3lFKi6t8FoM3vrbM7AL/uJ2MfzgwYPq3bu3XXvv3r118OBBjwQFAADgd2VlUqdO0t69dl0/JbTXJaMWqCIo2Kbd2U2HlrERKq+w2I1+7ZOUoJv7dNT2/Sa9PLKHdYn0w0dL1DzK/aSlfUK0nrzmTB05ZlZ+cZliI0LUPDqMQjgA+An5MwA0Pd6eSUlh0b3XwNNL4fpyaeTailElZc4LYb6YleqKQNhXGXXnlYLvnj3SySc772/ZUqbM7coJjtSpxaX63I/F0pr+/fD2Vgw1qfpcndEuXmlJCdroYIXA+sbgzWI/S5TDH9wuhiclJentt9/WfffdZ9P+1ltvKTk52WOBAQAA+MXhw1LLlg67Ng8eKdO/5uqWVzY7fbqzmw6ORr9GhAZp5nvfafXOw9bj6rs8VMvYCIrfABAgyJ8BoOnx5kxKCov+fw1qW5bYVOS5InRtxajwkCCnfd6eleqqQNhXGXXnsYJvSYnUt6/0v/85P2brVik1VZIU99dPIPPmVgy1qfpcbfn1iJ4ZXvmaHV8Q7+uBGPxZ7Ae8we1i+EMPPaRhw4Zp/fr1SktLk8FgUEZGhj7//HO9/fbb3ogRAADA+77+Wjr3XIddC8b+S0/GnaGXR/ao9TQRYcEyFTpO6B2Nfn3i6jNYHgoAGinyZwBoerw5m47Cov9fg6iwmm+nR4UF19jvjtqKUYePljh8XiAVqry+zLaXsMd5pXoXfB98UHr4Yef9zz9fuS1dA+WvJb+rPleF5nJNXJapUX0SNSot0braYPsTotS6niuF+LPYD3iD28XwoUOH6uuvv9b8+fO1cuVKWSwWdenSRd98841S/xq5AwAA0GA8/7w0dqzjvu++025jez05b52kymXovj+Y73QZqr5JCfog66Cy9uW5vEwhy0MBQONF/gwATY83Z9M11MKiJ/n7NQgKMtSYD4YFBzkdHO2umopRjw1NUbnFojdG91ReUakiQoO1de8R/XgwXw8P7BowOaa/91WuC7YisOV2wffzz6WLLnJ+wqFDpbffloKcr2zQkPjjns7xn6tCc7meXbPLpv/zKf08ch3290Zj4nYxXJK6d++u//u///N0LAAAAL5z/fXSG2847jOZpNhYSVL+3iPW5vCQIC3O2ONwGaq0pATN+MfpGvTvjSo0lzeZZQoBADUjfwaApsWbs+kaYmHR0/z9GoQEGXRzWqIk+3xwZFqirng2Qz06NPdY4dRZMeqYuVzT3tluU7Dtm2zU7MHd6j0j1JOMMWG6uHMLndo6Vqnt4lVSVmFTuA+UGexV/L0Mf6CqteB74IB00knO+yMipL17pRNP9HxwjYwrqxL4cglzJnCgsXCpGJ6fn6/YqhvC+fk1Hlt1HAAAQMAxm6XWraU//7Tv69lT+vJLyWCwaT7+Zkvmvjylto93uAzV7/nF+njHQRWayyU1nWUKAQC2yJ8BAN6aTccerv5/DRKiwzT7o51Kbd9cky86xbpHeOa+PE1clqlCc7nHC6fVi1HOCrYbsnN034rtAVWwjYsK04wrumj6iu02s1f7JCXo0cHdAibOKp5ehr9RL7deViZdeqn02WfOj8nIkNLSfBeTh/n67+fqqgQsYQ64z6ViePPmzXXw4EG1aNFC8fHxMlS7SSxJFotFBoNB5eXlHg8SAACgXv78U0pNrRyJXL1ryr0KfuQRp8nC8Tdb/p4VvscmkU9LStDNaYma9eFOm+c2hWUKAQC2yJ8BAJJ3ZtNRAKn/a1Df4lZcVJgeGthV05ZnKbVdvG55ZbPD47w5ONqVgm3Vcf4uwpoKzfrnyh12y8pn7MrV/St3BFThXvLsMvyNdrn1efOku+5y3v/449Ldd/suHi/x9d/P3VUJWMIccI9LxfA1a9bohBNOkCR98cUXXg0IAADAY3bulE4/XbJY7LpGDX1AX3XppVF9EtX7QL7CQoLUPDrM7iZB9ZstVbPC7zgvSWEhQcovLtPWvUesswCO1xSWKQQA2CJ/BgB4EwWQur8GnipuVV3/p8MFNR7nrcHRtRVs84rMmvn+dwFRhPX0TGtv89Qy/I1uufVNm2qe4X3hhdLHH0uhjeMeiD/+fnX5rLCEOeA6l4rh/fr1s/53YmKi2rVrZze63WKxaN++fZ6NDgAAoBYOR/Z/sVq64gqHx2/6+EsVdzxZKb/laUTbeL2U8bPNLG9HNwmc3WyRpAnLMpv0MoUAAFvkzwAAb6MA4v5r4OniVlxUmE6o5XhvDY6urWBbUloRMEVYT8609gVPLcPf0AYBOJSTI7VvLxUVOT/mt99q3iu8gfL238/RfayCkob1WQEaGpeK4cdLTEy0Lvl2vD///FOJiYks8wYAAHzGZmS/xaIx3yzX9LVL7Y4runKQxl06RV/8ki+tzZWUq75JCeqZeIIy9+bZHOvsJoGzmy1NfZlCAIBz5M8AAAQGbxS3/LV/eU3X7Zts1Kafcx08yz9FWE/NtPYVT21F4KtBAB7f07qiQrrmGmn5cufHrFolXXxx3a/RAHjz7+dshYqHB3ZVVFiw3YqDVQLtswI0NG4Xw6v2NquuoKBAERERHgkKAACgNlUj+7/64aCe/vApDdy5zv6gRx6RafI9Gv/mNrsbHxt25apC0qg+iTYzwyX3bhKwTCEAwBnyZwAAAoM3ilv+2sO9pus+eOXp+seCDKfP9fXsUn8NGKgPT+T4vhgE4NE9rV96Sbr1Vuf9M2ZIDz9cx0gbHm/9/WpaoeKBd3doxhVdNP2d7XbPC9TPCtCQuFwMnzJliiTJYDBoxowZioqKsvaVl5fr66+/1plnnunxAAEAABz585f9evDeq5T05292fbcN/qemPjdNnVrEKOdwgdMZABt35WpUWqLDPnduErBMIQDgeOTPAAAEFm8Vt/w1ONrZdXOPmZ3OLJV8P7vUXwMG6qu+Ob63BgFUzQQ3FZlVUlahM9rFa8uvR6x/c7eWw9+2TUpNdd7fo4e0YYPUBAdweuvvV9sKFf+8vLPddQP9swI0FC4XwzMzMyVVjmzfvn27wsL+/vCFhYXpjDPO0N133+35CAEAAI737bfSmWfKUQl7wKhn9eOJHSVJ4/4qZtc2A6CkrMJhO0tQAQDqivwZAIDA4s0Zyv4aHO3suoE2E7sprqbmjUEAjmaCpyUl6JnhqZq4LNOmIO50pTuTSTrtNOnQIecX2r1bOvlkt+NrTLw1iKO2+1NF5vIm91kBfMXlYvgXX3whSbr55pv19NNPKzY21mtBAQAA2HnnHWnoULvmH43tNXz4bP0ZFWfTXlXMrm0GQHhIkF0bS1ABAOqD/BkAgMDSUGcouytQf8+muJqaJwcBOFtee+Ouyv3hq2//ZrPSncUijR4tLV7s/AIrVkiDBrkdV2PmjUEcrqxQ0RQ/K4AvuL1n+JIlS7wRBwAAgD2LpXJfqpkz7brMw4ZrzPnj9MUek13f8cXsmmYA9E026vDRErvnNqabIQAA/yF/BgAgcDSVGcqN5fesWhI8v7hUsZGhMkbb/g619QcCTxU2a1pe29H2b80iQqU335SGD3d+0jvvlObPlwwGa1NDeE19ydOFaW+uUAGgZm4XwyXpf//7n/7zn/9o7969MpvNNn3vvPOORwIDAABNWHFxZdK2cqV93+OPS3ffrTBJ/8orqnXEe20j46PCgnVOxxN0tLhU0eEhCgsO0uGjxSosLW/yiR8AoP7InwHAdyjkoDZNZdalL39Pb3zuHC0Jnp5s1JyhKWoTH1lrf2Pj6vZvnXL36fOXbpfmOjkwOVnKzJSio+26mtpr6g+BunID0BS4XQx/8803deONN6p///5avXq1+vfvr+zsbB06dEiDBw/2RowAAKCpOHhQ6tVL+vVX+65lyxV15RU2yYGrI95rOy4uKozEDwDgceTPAOA7fJ9HYxXIgzw88bmr/vvFhIc4XBJ8fXaOpi3P0uNXn1Fj/4LhqQHz+nhKTctrR5QWq9/AdP2yZ5fTY45u3qbD7TpVvsaFFhkNZrtZ9k3tNfWXxrJyA9DQuF0Mf/TRRzV//nzdcccdatasmZ5++mklJiZqzJgxat26tTdiBAAAjd3mzdLZZ9s1lwUH69Xn3leHtLNUUlah5gfz1f6EKJ3UPMp6jKsj3ms6jsQPAOAN5M8A4Bt8n2+6ArlQ7AmBPMjDE587R7/fG6N7Ol0SfH12jo4cc75k+PrsHOUUmBvMe8BUaNbhoyXKKypVdFiwosNDFB8Zahe/o+W1/7nmJd36v5XOT/5//yddf/3fr/F/1lm7qr+HalqGvaG9pg1BU1mhAggkQe4+Yffu3br88sslSeHh4Tp27JgMBoMmT56sF154wa1zzZ49W2effbaaNWumFi1aaNCgQfrxxx+dHj9mzBgZDAY99dRT7oYNAAAC0RtvVO5PVa0QXnZWd03892dau32/Pldz3fLKZo17fauGv/i1pi7P0m9/Fno0DFcSPwAA3OXJ/BkA4Bzf55umA3lFGr8sUxfOW6fBCzfpwifXacKyTB3IK/J3aB5RW7HZVOib97Wp0KzdhwuUufeIdv9RYL1ufT93zn6/vKKalwTPLy6rsf9oLUuKB4oDeUUa/0amLp6/Xlc/96UueyZD963Yrp2Hjupgtfdw1fLaE4/t1C9zr9Avc69wXAi/6SapokKyWKTrr3f5PVTbMuwN5TUFAGfcLoafcMIJOnr0qCTppJNO0o4dOyRJeXl5Kix078b0unXrdMcdd+irr77S6tWrVVZWpv79++vYsWN2x65cuVJff/212rRp427IAAAgkFgs0rRplUXw66+37Rs9Wiot1a8fr1X7pLZasnGPNu7KtXZHhQXrzPbNtffPQm399U+bRLw+SPwAAN7gyfwZAOAc3+ebnkApFHtTIAzyOJhXpI92HNIvucd00FSsX3ML9dGOQzqYV1Tvz52z3y88pOaSRWxEzYvdRoYF19gfCEyFZk39b5Y27LL9/TfuytWCNdla+9Mff7+Hf/lFMhjUpnmUpjx7j/3JWrSQjhypvNeyZEnlvZa/uPoeqmkZdklqVks/AAQ6t5dJ79u3r1avXq1u3brpmmuu0Z133qk1a9Zo9erVuvDCC9061yeffGLzeMmSJWrRooW2bNmi9PR0a/v+/fs1fvx4ffrpp9ZR9QAAoIEpLJSGDJE+/dS+b8ECafx468P84lKltovXs2v+3vMqKixYzwxP1ZKNe2zaPbFEHIkfAMAbPJk/AwCc4/t8w1aXpc6bwrLO/h7kYSo069c/C/VB1gGbQeppSQlKNEYrIbrm1/f4z52jv3FBieP4M/flKS0pweaaVdKTjWoebb9k+PGxbd2bp1axEQH9988pMNsVwqts3JWrW85uo/A+aVLmZucn2bJFOuusGq/j6nvI0TLsVdKTjTLGBO5rCQCucLsY/uyzz6q4uFiSNH36dIWGhiojI0NDhgzRjBkz6hWMyWSSVDl6vkpFRYVGjBihe+65R6effnqt5ygpKVFJSYn1cX5+fr1iAgAA9bRvX+Uy6L//bt/32WeSg2JAbESoDpqKbdpG9Um0mykueWYfQBI/AIA3eDN/BgD8je/zDVdd98T2d6HYF/w9yCOvsFQL1mTb5eBVj+cM7ubS587Z3/jhgV0VFRasQnO5zXMXZ+zRM8NTFWQw2D1n7tAUtYyN0MMDu+qfK7fbFelvTkvUxGWZOqfjCW7dH/D13vPO3r93ZryhyRvfkOY6eeKiRdLYsS5fx9X3UNUy7NOWZ9n8Pate80AeWAAArnCrGF5WVqb3339fAwYMkCQFBQXp3nvv1b333lvvQCwWi6ZMmaI+ffqoa9eu1va5c+cqJCREEydOdOk8s2fP1kMPPVTveAAAQD1t2iSlpdm3N2smZWZKnTo5faoxJky/59smbdVnih+vviP/SfwAAJ7mzfwZAGCL7/MNU21Lndc04NnfhWJf8Pcgj2PmMoezs6XKgniBuazWz11Nf+MH3t2hGVd00fR3ttv0FZrL9dY3e/XE1WeooLhMR4tL1SwiVMaYvwvUpiKzUts316i0RJWUVSg8JEiZ+/I0cVmmCs3lbg2GqOuAjPqICf+7LNPr12+17M1/Oj940CDpv/+Vgp0v/+6smO/Oe6hNfKQWDE9VToHZ4WsOAA2ZW8XwkJAQ3X777dq5c6fHAxk/fryysrKUkZFhbduyZYuefvppbd26VYbj9rqoyfTp0zVlyhTr4/z8fLVr187j8QIAACeWLJFGjbJv79tX+uADKTa2MlE7XOB01HVcVJg6JESpT1KCMv5KvkvKKmq8bH1H/pP4AQA8yZv5MwDAHt/nG576LHXu70KxL3h7kEdts6GPVZuxXd2xknJ1bl3z5662v/E/L+9s93esmjXeMjZCLWMdXzsmPNTpYHnJ9cEQ9RmQUR+RfxzWL3OvcNpfHhauYz/tVmyHk2o9V23FfHfeQ3FR/JsJoHFye5n0nj17KjMzUx06dPBYEBMmTNB7772n9evXq23bttb2DRs26PDhw2rfvr21rby8XHfddZeeeuop/fLLL3bnCg8PV3h4uMdiAwAALqiokCZPlp55xr5vwgRp/nzrKGZXR12f1DxKc4akaPqK7dqQnaPwkKAaQ/DEyH8SPwCAJ3kjfwYAOMf3+YalPkudN5XVALw1yMOVvDw+suYcOy7y7yW2ncVT29+4yFxep9/PU4MhfLr3fFmZdNll0urVauvkkIfufU79b7tKrWLDlXhiTK2ndKWYz0AhAKhDMXzcuHG666679Ntvv6l79+6Kjo626U9JSXH5XBaLRRMmTNCKFSu0du1aJSYm2vSPGDFCF110kU3bgAEDNGLECN18883uhg4AADzt6FHpiiuk9evtuvbOeUqlo26RMTpMKilXTkGRTEVmlZRV6Ix28dry6xHr3mDORl23PSFKz/6VtFVYLOqbbHSYqDaWkf8AgMbFk/kzAACNTX2XOm8IRT5P7EXt6UEers6GbtEs3GkO3jfZqBbNap+Q5srfuC6/n6cGQ/hk7/n586XjVrKtbt+0mdp/63hFhQVrsKQvfjysf6S0cenUrhbzGSgEoKlzuxg+bNgwSbLZw9tgMMhischgMKi8vOblU453xx136I033tC7776rZs2a6dChQ5KkuLg4RUZGKiEhQQkJCTbPCQ0NVatWrXTqqae6GzoAAPCUn3+WUlOl/Hy7rkemPqeX1VY6IunJdeqbbNQd5ydp1NL/WYvfaUkJemZ4qnU/L8n5qOvjk7a5TWDkPwCg8fBk/gwAQGPjidm9gVzk8+Ze1PUpsrtTQK1vDu7N5ew9MRjCa3vPf/WV1KuX0+6y9PN063Wz9MWePMki6YWvrH3pyUbd1KujS5epSzHfEwM0AKChcbsYvmfPHo9dfNGiRZKk8847z6Z9yZIluummmzx2HQAA4CFffCFdcIFdc1mCUYc/W6+pm/O1YZdtkrshO0cVFotG9Um07um18a99wI9vk2ofdd0QRv4DAFDFk/kzAACe5u+iWGNe6tybe1HXt8juTgG1vjm4t//G9R0M4dFifW6u1KGDdOyY82P27ZPatlWIpH/lFdX7dXG3mO/NARoAEMjcLoZ7cq8zi8Xi9nMc7RMOAAC8bNEiadw4u+b1HVM1ZvA/VRQWoddjTtSGXT87fPrGXbkalZZYa5sro64DeeQ/AADHY69wAECgCpSiWGMd8Oytvag9UWR3t4Ba3xw8kP/G9S7WV1RI114r/ec/zo/59FOpf3+7Zk+8Lu4U8z05QMPfA2kAwF0uFcPfe+89l0945ZVX1jkYAAAQQMrLKwvgL7xg1/XhgOs1/oxhshiCrG2moppHl5eUVdTYxr7fAIDGgPwZACAFdrHIm7OW66IxDnj21l7Uniiye3PpcmcC+W9cp6L0Sy9Jt97qvP/++6VHHqn12vV9Xdwp5ntqgEagDKQBAHe4VAwfNGiQzeOqPc6Of1yFPc8AAGjg8vKkAQOkb76x65p0xV36x2P36I5XNtv1hYcE2bXV1l/V1hiWwQMAQCJ/BgAEdrHIVGjWQVOxhp/TXjenJWrr3iNanLFHhebK/yfVZ9ZyQ+fJAQze2ovaU3tEzx2aorU//aEWzcJVUlahiNBg/Z5frPNPObFJ/u1dKkp/+6105pnO+7t3lzIypIgIj8ZWG1eL+Z4YoBFoA2kAwFUuFcMrKv6etfXZZ59p6tSpevTRR9WrVy8ZDAZt2rRJ999/vx599FGvBQoAALzr6Lc7FHNOdxnMZru+QSOe1LY2p0qS+juY4S1JmfvylJaUYN0P/HhpSQnK3Jdn09Y32aj2J0Tp8yn9AmaJNAAA6ov8GUCgCuSZyo1JIBeLHBXp05IS9MzwVE1clmktiNd11nJDZSo061B+sX47UiSDwWAdINCjQ/M6D2Bwd/lqVz+bntgj+uLOLTTjii76KOugNuyyHbDR75QTXfr9moz8fKlzZ+nAAefH7Nolderku5gccKWY74kBGt5a/h8AvM3tPcMnTZqk5557Tn369LG2DRgwQFFRUbrtttu0c+dOjwYIAAC87NNPpUsuUbNqzbkntFTeZ2t14Vu7bdqdzQBfnLFHzwxPVZAMNgl132Sj7jg/SaOW/s/aVjUTvDVLaAEAGjHyZwCBIpBnKjc2/i4WOSusOivSVw1mHtUnUc+u2SWp7rOWG6IDeUWa+t8smxz2+AECdR3A4Ory1e5+Nj2xR/SprWM1fcV2u4HsgTBgIyBYLJVLoL/8svNj3nlHGjzYdzF5gCeWx/fW8v8A4G1uF8N3796tuLg4u/a4uDj98ssvnogJAAD4wvz50pQpds1/nN9fW+YuUlizGBljwhQV9ot1hoBkOwM8KixYo/okKrVdvErKKhQdFqL7Lu+s0GCDCorLrMtzSdL74/u4vv8WAACNAPkzgEAQyDOVGyN/FotqKqwWmcudFuk37srVqLRE6/He2DM6EFk/G7tqHiBQ1wEMtS1fXZfPpif2iE5tF28d+FBdk57d++ab0vDhzvsnTJCeflo6bsubhsSd944z3lr+HwC8ze1i+Nlnn61Jkybp//7v/9S6dWtJ0qFDh3TXXXfpnHPO8XiAAADAg0pLpVtukV57za7r59sna0bq1dq4+09peeVMtb5JRrsl86pmgIeHBOm6nh20ZOMem0S671+JVFIL27nmTTKZBgA0aeTPAAKBv2cqNzX+KhbVVliddFFyjc8vKatwqyjWGNT02Th+gICrAxiczcp39nrW9bNZ3z2iS5xsfValSc3u/fFH6bTTnPd36iRt2ybFxPgsJG9y9b3jjCdmlwOAP7hdDF+8eLEGDx6sDh06qH379pKkvXv36pRTTtHKlSs9HR8AAPCE3Fzp/POl7dvtuvYsXKzlnXorc+8RZe7N0/gLkqwzvSNCg/W7qUhj+p2s+auzJUmF5nJNXJapxTedrX+vybZbWm0DM0wAAJBE/gwgMLCsrW/5q1hUW2H1vss61/j8k43RPsnh6rp3vTf2vK/ts1FVNHZlAENdtiKoz2ezPntEO9v6rEqjn91bWCj16CHVtF3Njh3S6af7LiYfcuW9U9Nz6zu7HAD8we1ieFJSkrKysrR69Wr98MMPslgs6tKliy666CIZGugSIQAANFrffSd17eq4b+tWKTVVFYcLlJp7zDrju/pM77SkBD30j9P1/LqfrbPDe3RoruZRodpQrRBehRkmAACQPwMIDCxr61v+KhbVVlgNDjLUWKRvHRfh9fzttz8LNf2dLJs80pW96721531tn43wkCCXBjDUdSsCb382nQ3MyNyXpz5JCcpwkM97Y8CGNwYy1OW6bf/1gMKfnu/8Ca++Ko0Y4fW4Grr6zi4HAH9wuxi+Z88eJSYmqn///urfv783YgIAAPX13nvSwIH27cnJ0oYNUsuW1iZjTJh+yT2mUX0StWTjHruZ3ht35eqhD77XxxP76kih2Zro/JxzrMYQmGECAGjqyJ8BBAKWtXWPJwp3/igW1VZYDQ4y+HVG5/4jhZr6TpZdvllbwdibe97X9NlIS0rQ4aMlLr02dV3u3NufTWcDM348mK9HB3fT/St3eP294K2BDK5eN/Tjj7R4+cPOD7zxRmnp0ga7D7i/1Gd2OQD4Q51mhqenp+uWW27RVVddpYiICG/EBQAA3GWxSLNnS//8p33f1VdX7hMeHm7XFRcVprbNK5PQ42eEH29Ddo7KKiw6s31za1tshLnGcJhhAgBo6sifAQQClrV1nScLd74uFtVWWE34q6jvjxmdpkKzfs0ttCuEV6mpYOzNPe+dfTb6Jhv1yMCuah4V6tK567rcuS8+mzUNzPD2e8GbAxlqkv9Dttp0PkWvOemvMBoV9NNPUvPmTo4AADQ2bhfDv/32Wy1evFh33XWXxo8fr2HDhmnUqFHq2bOnN+IDAABOVM1YOGoqUNLd4xTz3gq7Y4pnPqx9Y+5UXnGZonOLFR1epvhI+4S+VWyEfjtSVOP1qifwzDABAKBm5M8AAgXL2tbOX4U7T3G1sOqPGZ05BWblFdWtYOztPe898dmoz3LnvvhsOvube/u94M2BDHbMZqlfP+mrrxTr5JArRj6lHa2S9PmUfurUPMYz1wUANAhuF8O7du2qefPm6bHHHtP777+vpUuXqm/fvkpOTtYtt9yiESNG6MQTT/RGrAAANFnVl+qLCAnSk6+t1/iZt+jMIwfsn/DuuzqQfrGm/jdLG57aYG1OS0rQhAuS1eGEKLU+bmbD8bPDnamewDPDBACAmpE/AwgkLGtbs9oKd/vzipRzzOyz/Y7ronphNTYyVNHhISooLlPm3iM+3a/5ePnFpQoPCarxGGcFY1/seV/fz0Z9B4o31s+mtwcySJIeflh68EGn3fdffLv+76zLnV7XX/uZAwB8y+1iuPWJISEaPHiwLrvsMi1cuFDTp0/X3XffrenTp2vYsGGaO3euWrdu7clYAQBokqov1Xf677v14dI7Nc/BsdMfel3T7r5KkjT1jUxt2GWbjFctS3dFShtd1rWVTZLXKjbC7QSeGSYAANSO/BkAAl9thbtfcgs17vWtPtnvuD6OL6weyCvS3f/51uf7NVcXGxGqz384rLSkBIdLpfetoWDcEFYkY6C4Y14byPDFF9IFFzjtPnbJ5erW7TZVBAXXeF1/7WcOAPC9mofk1WDz5s0aN26cWrdurXnz5unuu+/W7t27tWbNGu3fv18DBw70ZJwAADRJxy/Vd9kPGfpl7hX6cOmdNsfkJ3fWhk3f64lPf9C7ZScop6ByZHP1QniVjbty1aJZuHIKbPf8rkrg05ONNu21JfBxUWHq1CJGZ7Zvrk4tYppsog8AgDPkzwAQ+Gor3FXNbK5aNt1UaK7xeH+rbdl3X8ZvjAnTjwfzdXNaotKSEmz6+iQlaPbgbjXmm3XJU32taqD451P6aeW43vp8Sj8tGJ5qsyJbU1M1kMERtwcyHDwoGQyVP44K4aGh0u+/SxaLypa/oz6ntqzxuoH0+QAAeJ/bM8PnzZunJUuW6Mcff9Rll12mV199VZdddpmCgiq/ECYmJur555/Xaaed5vFgAQBoanKOlqjH4qf02qY37frW97pUo9LGqCw4RHr3Z6UlJeiZ4ak6VlKqckvN5y0pq3C4JBkzvQEA8BzyZwCBhOWAa1bTDOS0pARl7suzPvb4fsde4NP9mmsRFxWmhwZ21YPv7lBq++YalZaokrIKxUeGqkNClE5qHlXj8xtKntpYlzuvq3rPmC8rk664Qvr0U+fHrF8v9e3r9nV3Hy4ImM8HAMD73C6GL1q0SKNGjdLNN9+sVq1aOTymffv2evnll+sdHAAATVZRkTRsmDq9/77urNb1xW1T9dLZg+yWl6t6/OigbiqrqLkaHh4S5HRJMhJ4AAA8g/wZQKBgOeDaVRXQqr9OaUkJujktUROXZdoc75H9jr3IJ/s1u6FNfKSeuPqMOhe0yVMbpjoNZHj6aWnSJOf9c+ZIU6fW67qB9vkAAHiX28ukZ2dna/r06U4TeUkKCwvTyJEj6xUYAABN0oEDUvv2UlSU9P77Nl03Xv2QOk79QBWTJjvcZ02qLIibyytqXI4sLSlBh4+WBMTeagAANGaezp8XLlyoxMRERUREqHv37tqwYYPTYzMyMpSWlqaEhARFRkbqtNNO0/z58+2OW758ubp06aLw8HB16dJFK1asqNd1AfiHqdCs3YcLlLn3iHb/UWCzxC/LAbsuOixYl3VrrZdH9tCbt52rl0f2UGr75pq4LFOF5nKbY+u837GPeG2/5npgi62myaW/+9df/70MuqNC+HnnSWazZLHUWgh35bqB+PkAAHiPyzPDs7KyXDouJSWlzsEAANBkffON1LOnXbMlLExTH3hNbx+NtraVlFXUeKpjJWWKa9nM6ayGCRckq+MJUdx4AADAS7yRP7/11luaNGmSFi5cqLS0ND3//PO69NJL9f3336t9+/Z2x0dHR2v8+PFKSUlRdHS0MjIyNGbMGEVHR+u2226TJH355ZcaNmyYHnnkEQ0ePFgrVqzQNddco4yMDPX863uJu9cF4Hu1zfoOpOWyA0FNy8XnFJg1/Z3tkqTxFyQpc+8RhwOR3d7v2A9qWvY90OJvKEv4N5Q4A43T1y03V+rYUSoocP7kffuktm09HlND+nwAAOrPYLFYatlVtFJQUJAMBoOqDjcYDJIki8VibTcYDCovL6/pND6Xn5+vuLg4mUwmxcbG+jscAEATVz0JbP3efxU1+ma748rOPkchqz6V4uN1IK/IZq+rl0f20C2vbHZ6jc+n9FOnFjHW6x0+WiJTUamiwoIVHRai+KhQEnYAAGpQ3zzSG/lzz549ddZZZ2nRokXWts6dO2vQoEGaPXu2S+cYMmSIoqOj9dprr0mShg0bpvz8fH388cfWYy655BI1b95cy5Ytq/N1S0pKVFJSYn2cn5+vdu3akZcDXmAqNGv8skyHxe70ZKMWDE/VzznHNHjhJqfnWDmut85s37zecTSEImFtAwcy9x6xvlZRYcF6ZniqlmzcY1MQr9p3uHUDWF6+ei4pBV78DWUJ/4YSZ6Cp/roZLBV6c83T6rn5c+dP+uQTacAAn8QW6J8PAGiqPF3bdXlm+J49e6z/bbFY1LVrV3300Ufq0KFDvYMAAKApOJBXpAfe3aHTWsbo6v88qw6LF9od8/qZl2jGxberz6ktNUfhaiP7va6aR7k+gpl91QAA8D1P589ms1lbtmzRtGnTbNr79++vTZucF7iOl5mZqU2bNmnWrFnWti+//FKTJ0+2OW7AgAF66qmn6nXd2bNn66GHHnIpLgD148qs75qWA44KC1bzqDDtPlxQ50J2QykS1rZc/ILhqTavVaG5XBOXZWpUn0SNSktUSVmFTjZGq3VcRIPJseq0X7MPufI3CYRYG0qcgeb41+3qrFV6/ONnnB88fbr06KO+C06B//kAAHiOy8Xw6km7wWBQ27ZtKYYDAOACU6FZs97+n+a+8oASNq2z69/3ryc0oPh06z501ZPq6kXtOUNTnI5gJnEDAMC/PJ0/5+TkqLy8XC1btrRpb9mypQ4dOlTjc9u2bas//vhDZWVlmjlzpkaPHm3tO3ToUI3nrOt1p0+frilTplgfV80MB+B5+cWlNfYf+X/27ju+yXL94/g33S2lLbRMWZVW2VBFEVqWCoiKiBwHLrBuQUTOOQqKCi7gqKiAcFyAizp+TD04UGQLClRBRaWAFBliK20pHWmb5/dHbGyapDNJ1+f9evGSPPczricJMXeu+77uHLPaNg3RkM7NtXbvCbu2kABfLbnlPG3dn67mYYHKL7ToZE6Bvj74pwad1axCMyPrUpKwIgMHSpdOzjEXaf66FEl/z7SvLfdTUbV5gHRdKeFfV+KsbbK279Jbt/V12Z7fvacCv94mBQV5MSp7tfnfBwDAfSqcDAcAAFV06JBCzz1XC9Id15obc93T+qp9D/VvHqXEdhG2H1qksjvVjGAGAKDhKS63Xqy43HpZNm3apOzsbG3btk1TpkxRTEyMxowZU6lzVva6gYGBCgwMLDMuAFVXsiR5cICvJlwYo0WbD9oG1trtm1uguR98pyev7CZJdgnxGVd0lcUifbTnqF0Z8PiYSEVHNVJIgG+5/YvqJgm9WV69vIEDp/IK1LF5KAOPvagir0ltUFfirBWysqQuXaQjR+RqGNyAO15VapNW1iUaajARDgBoOEiGAwDgKZs3S/37S5J8S2zOCmyky8a9qMMRLW3bNqWkaVx8B4dTlNWpZgQzAAANQ1RUlHx9fR1mY584ccJh1nZp0dHRkqTu3bvr999/1/Tp023J8JYtW5Z5zupcF3CHurIOtTc5K0meEBOpuWPiNDEp2S4hHh8TqeTDGdq4L03TVn6vZ67uqSnDC22DaX19pIdXfm+XCJdke/z0ld3Lfb6rkyT0dnn1ssrFS1Ljv9oZeOw9FX1NalpdibPGGIZ0553Sq6+63OXOKx/Sp2f3s9vW4J83AIDX+FTn4PJGoAMA0CC99ppkMtkS4cXSe/dV10nvq8ek9+wS4cXyCy0O2+gcAgBQP1Sn/xwQEKBzzz1Xa9eutdu+du1a9evXz8VRjgzDUH5+vu1x3759Hc752Wef2c7pruui7snMMWv/iWwlp57U/j+ylZlj9vr5j2bkakJSsi6as0GjFmzVRc9t0L1JyTqakevWWOoSVyXJN6eka8mWg0pMiLZti4+J1C3x0Vq0+aAk6yzt7LxCdWweql7tmqhj81DlmIscEuHFtqSk67S5sNyYqpokLK+8urvfc5JsJdCdGRAbpajQv5Pd4SEBds8ViXDPqMxrUpPqSpxe9/771t8+fHycJsLz77pbN7/6lTo8+JFDIrxBP28AAK+r8MzwuLg4u857bm6uRowYoYAA+/9p7dq1y33RAQBQVxQVSZMmSfPnO7bdd58yn5yln49n6/Rr212eItDPfowanUMAAOomT/SfJ0+erJtuukm9e/dW37599corryg1NVV33XWXJOs63UeOHNGbb74pSXrppZfUrl07derUSZK0efNmPfvss7r33ntt57zvvvs0YMAAzZ49WyNHjtSqVav0+eefa/PmzRW+LuofT8/WdXX+x0d2U2auWaFB/goN9PPaOtR1afZ5WSXJN6ek6+HLuqhLqzAF+vko+XCGw0zx0rO0Tzspq16Ss7LrpZVeY7uksvozNbEGc3hIACXQa5m68prUlTi94pdfpLPPdt1+5pnSd99JoaEKlDQrI5fnDQBQ4yqcDL/yyivtHo8cOdLdsQAAUPdkZUmXXWYtiV7a669LiYmSpHBJ7SMtSoiJ1GYnsy8S/iphWIzOIQAAdZcn+s/XXnut0tPT9fjjj+vYsWPq1q2b1qxZo/bt20uSjh07ptTUVNv+FotFU6dO1cGDB+Xn56eOHTtq1qxZuvPOO2379OvXT++++66mTZumRx55RB07dtR7772nPn36VPi6qF/Km61b3SR0Wed/eOUexbVrovnrUrT0tj5eSZR6u0x3dZVXkvx0fqHuecf1IJvSs7Qjgsue1R1eTrtU9SRhWfcSEuAri2Fo/4lstw9SoAR67VNXXpO6EqdH5OZKvXtLP/7oep/vv5e6dnXY7O3nrS4NcAIAeI/JMAyjpoPwpKysLIWHhyszM1NhYWE1HQ4AoL7Yv19Gr14yZWc7tm3eLMXHOz3stz9zNHXFHocf3J4e1V3mIouychtYpxoAgFqIfqR78XzWHftPZOuiORtctn8xeaA6Ng/12PlfH9tbt76xQwtuOKfMpO7Ke/qpV7smVY5DsiZMJiQlO026D4iNcuvsc3cp7/lbMzFBmbkF2rI/XYs2H7Sb2e3snsp6DvrHRml+JZ6D4gRURZNdru4lJMBXc8fE6Y0tB7WpxCDi2jxIAai3HnhAeuYZ1+1vvCHdfLP34ilHXRvgVBJJfACw5+4+ZIVnhgMAAEnr1kkXXSRJKrny5x+NIvT0o0v07zuGltnJatM0RPMb6mhyAAAA1GrlzTxOP22W/siu8o/05Z0/v9AiyXH5oNJcrUNdGTVRpru6yipJHh8TqTXfH9f8dSlKiInU3DFxtjLprmZph4cEaLabSj+Hh1TuPeHqXhITorV4y0GHtcw9USIfgBNr1lir37ly443Sm29a1wqvRcqrbPLM1T2VnVdYK5PNdTmJDwB1BclwAAAqYv58qcQam8XSEgZrx3OvKiCssc5IPanHVn2vZ6/uWWanqrI/FAEAAADeEFZOkvlUXoHGLf5aj1zeRee0i1COuahSSYXyzl+cBE8+nKH4mEiHhKhU9jrUlVFeYr70+tq1QY65SPcMjlGRYdg9N/ExkbolPloTk5IlWdcPN5lMWjU+Xj4mU5mDb2uq9LOr8ur9zozU/HUpTo+prYMUgDrv0CGpQwfX7ZGR0r59UpPqVeTwpPIGOO0/ka3rX9tu21Zbks2eXp4EAGBFMhwAAFcKC6W77rKu/V3Kwdvu1bTzx2jL/j+l5T9J+vtHqPTT/EADAACAuqe8mcd7jmRq7pg4Ld5yUFOX77G1VTSpUN75kw9nSJIWbT6ouWPi5GMyOcyUK56xXN2SsuUl5t0x+9ydMnPMemDZbu08dFKJCdFKjI9Wo0A/nc4vVPLhDNss8GKb9qXJx2SqUFn7mhqs6ywRn5lrLvOY2jhIAaiTzGZp8GBp61bX+3zzjXWt8DqgvAFOGbn27bUl2VwXq5QAQF1EMhwAgNJOnpSGDJF27nRse+cd/XLRCM348AeHmSrFj6eP6OqNKAEAAAC3cjVbt3jQ5w9HM6tVwrq88xfPbM4xF+m9r1P17F9lbUvPWHZHSdmyEvPumn3uTiUTJsUzp8tbW706iWNvrV9bOhG//0R2mfvXtkEKQJ3z1FPStGmu2+fPl8aP9148blLRyiMl1YZkc12sUgIAdRHJcAAAiv30k9Stm1RU5Nj29dfSeedJkizHspyWbJSsCfEii+HJKAEAAACPKTlbN/20dcZu8czjeWPi9PzafU6Pq2hSofRs4OAAX+1KtZ/ZPCA2So+P7KYWYUFqEWZ/vLtKyrpKzFdlvWxvcJYw8dTa6jW5fm1dG6QA1Anr11tngbsyYoS0YoXk6+u1kNytopVHSqvpZHNdq1ICAHVVlZLhp0+f1oYNG5Samiqz2b580cSJE90SGAAAXvPxx9Kllzpuj46WtmyRWrWy25xjLizzdCXLEwIAgIaN/nPt560ZsHWJbbbuiWxd8/JXtu35hZYyj6toUqH0bOCWYUE6v0PTCq1Z7c6SsjW1XnZVOEuYeGJt9Zpev7auDVIAaq3jxx1+y7Dj5yf99pvUooX3YvIgV58d/WOjNLZfB1vlkdJqOtnMACAA8I5KJ8OTk5N16aWXKicnR6dPn1bTpk2VlpamkJAQNW/enM48AKDWyswxKyOnQKfNhTptLlKHxQvV7HEn5cFGjZKWLpWCgpyeJzy47M5IeDAjdwEAAP3nuqAmZ8DWBaV/pPfUTOTKrFnt7pKyZV27Ng2UcJYwKV5b3SRpc4mEeGUSx6Xv0WIxanz92ro0SAGoVQoLrbO8P/nE5S7Zn36u33v1sf6b9/FXVE79WZPa2WdHaJCfpq3Y43TSQm1INjMACAC8o9LJ8Pvvv18jRozQwoULFRERoW3btsnf31833nij7rvvPk/ECABAucr7oepYRq4O/ZmjBZ/t1ah5j2jUj+sdTzJjhjL/+aDSThco60SuwoILnf7gxchdAABQEfSfa7eangFbF5T+kd4TM5Ery1slZWvbQAlnCZPitdVnj+6hvAJLpRPHzu7x9bG9yzzGWyWFKzNAAmjw5s2Tyhpg9/TT0tSpf/+bX7fB1lTfBoA5++yYMbKb8gtrb7KZAUAA4HkmwzAqtbBpRESEtm/frrPPPlsRERH66quv1LlzZ23fvl1jx47VTz/95KlYqyQrK0vh4eHKzMxUWFhY+QcAAOqc8n6oyswx6/PNP6rPuKvU5thBh+Pn3j1TY5+drNPmogr/4HU0I9flyN1W9aQTCQBAQ+WufmRd6z97Sm3tl+8/ka2L5mxw2f7F5IHq2DzUixHVXsUDT3PNBQoLDtBvJ3OVkVugIH9f7Uo9qZ+PZenxkd288j04M8esf33wnc5uFaa4thHKL7TYxfHs1T2rnUDIzDFrQlKy0xnSA2KjanSgRPFrUd2Eiat7fH1sb936xg6Xx/HvAqglvv5a6tPHdfuAAdLnn0v+1gFCtflzzRvc9dkJAPAOd/chKz0z3N/fXyaTSZLUokULpaamqnPnzgoPD1dqamq1AwIAoDLKm9HzUnd/hfc5V6OdHDv8lrna2/xM699P5evxj36s8MwgRu4CAIDy0H+u3dxdbru+Kb3EUJMQf0WEBGrqij1235n7x0Zp5qjuXhsQGh4SoEcu76KpK/Zo/roU2/aEmEg9Pap7md/HK1r23J3rkldEZcqxu2vGtKt7rA2z/wG48OefUnS0lJXlep/UVKltW4fN3v5cq22oNgEADVulk+FxcXHasWOHzjrrLA0ePFiPPvqo0tLS9NZbb6l79+6eiBEAAJdcdeiG/vKVXpn9lMP20x3P0htPL9b877Ps1ozKzC2odMeQzhQAACgL/efazVvltuui4iWG5q3bZ0uKTrgwRsmpJx2SpJv2pemhFXu8NqswM8esh1d+7xDH5pR0TVv5vcs4KlP23JsDJWqqHLureyxeh9zHZHKIqbaUFAYaFItFuuEG6d13Xe/z8cfSJZeUeRoGgAEAGjKfyh7w9NNPq1WrVpKkJ554QpGRkbr77rt14sQJvfLKK24PEACAsth16AxD925J0q+zL9crK+wT4as6D1Tsv1ao6z/maEuWj+aOiVNIgK+tveTfncnMpWMIAAAqh/5z7RYVGqABsVFO22rzDNjMHLP2n8hWcupJ7f8jW5k5Zreff/0vf9glwiUprm2E09nC0t+DR72hIrMbSyuvmlTp59BbAyUqG5c7ubrHHHORJiYl68mR3fTF5IFaeU8/fTF5oOaNiWM5KMCbFi+WTCbJ19d5InzKFMkwrH/KSYRLDAADADRslZ4Z3rt3b9vfmzVrpjVr1rg1IAAAKiMsyF8BhQV68cNnNPyXrQ7t744erykdL7F2Iv9S/CNeYkK05q9L0YDYKAX7l50MLy9ZDgAAUBr959otPCRAs0b30JRlu7WxjsyA9cYs4rRss5o3DnRIfOcXWso8zluzCqsyu7Gy5YGLB0psdLG2rrsGStRk2eKy7rF3+yaKCPGvlf8GgHptzx6pRw/X7T17Sl99JQVX/vPeW59rAADURpWeGQ4AQK1x/Lg6XNBDvzw3yiERnjj6UW3Z94emxAy3S4QX25KSrri2Eer/14+dhYah+JhIp5eJj4mUr4/jOQAAAFC3tY4I1rwxcXViBqy3ZhFn5RU4TXwH+pX9E5K3ZhVWZXZjZRPoxQMlSlcOcPdAiZosW+ytewRQjlOnpHbtrL9buEqE79tnnQH+7bdVSoRL/JsHADRsFZoZfs455+iLL75QkyZNFBcXJ5OTpEKxXbt2uS04AACc2rlT+mumVcn52obJpO2r1uvPDrG6LcRffj5l/2AXFuyv+X+tKXjgj2zdEh8tSXazYOJjInVLfDTJcAAAUCH0n+ue8JCAOpEE8NYs4rAgf/152jGxnnw4Q/ExkU5LpXtzVmFVZjdWJYFePFAiLdusU3kFahzkr6jQv98rmTlmpWWblZVXoLBgf0U1qvz7qKbLFpd3j+7gjucJdQevdwUZhnTPPdJ//+t6nw8+kP7xD7de1hv/5gEAqI0qlAwfOXKkAgMDbX8vqzMPAIAnZOaYlft2klreOc6hLb97T/2+7EM9vOGINm1Jl7ZYf1h+57Y+ZZ6zaYkfPiMbBWjmmr2Ka9dEifHRyi+0KNDPR8mHM/Te16l69uqebr8nAABQ/9B/RnW5SiZ5axZxVGiAvv71T4fE96LNBzV3TJxMkjaX2O7tWYVVKW9f1fLArgZKuKtcfW0oW+zJwSDeKOuP2oPXuwI++EC65hrX7ffcI82f77S6nbvUlQFgAAC4k8kwDKOmg/CkrKwshYeHKzMzU2FhYTUdDgCgHA4//oX4y+eRaWr8/LMO+x4ddZ2GdblRYwfE6LvUk9pUapbKhAtj9G3qSbsf64r1j42yzQq3nS8j1+WParWxVCYAAPAM+pHuxfNZcWUlk3LNRbpozgaXx669f4B8TCa3zMg8lpGrQ3/maN66fXYJ8Ys7N9eMK7oqr8BS5qxCb8wOLb5GRWc3uuu7fmaOWROSkp3O0h8QG6V5pfoY5altfRB3vXbufp5Qu/F6l2HfPumss1y3d+gg7d4tNW7stZAAAKjt3N2HrNDM8JJuueUW3XjjjbrwwgsZ4Q4AcKuSP/4FFeRp4cqZ6nhgp8N+My66XYt7j1R8TKTGtmuiuLYRmr8uxWG/v2evmLQp5e9OeUJMpGaO6u7QGadkGAAAcCf6z6iM8tYEf+bqni5nEfePjdKOQyc1dfke27bqzMhsFRGskABfPX1ld502FyrHXKTwYH81bxxY7ndjZwn9/rFRmjmqu9o0Dal0LK5Udnaju77ru7tcfW3qg7hzZq+3yvrXd3Wl7Lg7Xu+6cq8VkpsrnX++9P33rvfZs0fq1s17MQEA0IBVOhmenp6uyy67TJGRkbruuut00003qVevXh4IDQBQn5TXsS3+8W/fzp+0/a3JapH9p8M5brzmCW2OjrM93pKSbitp7kyOuUgTk5L17h0X6L7CWJ04la+IYH+1jwzRGU2c/xBHyTAAAOAu9J9RGeUlk07nF7osD37P4BglLvnG4Zgpy3ZXeUZmVb4Xu0rob9qXpinLd2v26B4uv4d7Q2XuyZvl6mtDH6S8wRiVfR95q6x/fVaXyo5X9/WuS/dapilTpNmzXbcvXiyNG+e1cAAAgFWlk+GrV69WRkaG3n//fS1dulQvvPCCzj77bN144426/vrr1aFDhwqfa+bMmVq+fLl++uknBQcHq1+/fpo9e7bOPvtsSVJBQYGmTZumNWvW6MCBAwoPD9fFF1+sWbNmqXXr1pUNHQBQQyrSsT315Sa9ddvFDsdagoJ1WeI87W3c0um5i9f2diXHXKQAPx/JMHR2i8bM9AYAAF7jzv4z6r/ykklZuQU6s1mowyxiPx+Ths/dpBxzkcMxZc3I9MQszLIS+ptT0nUoPUehgX61/vv4b3/maOry3XbLMBX3X8KC/Ms8tnE57bWVu2dyV+d5qlczhKvI3YMTPK26r3ddulcHH38sXXqp6/YbbpDefFPycf27BQAA8Kwq/V84IiJCd9xxh9avX69Dhw7plltu0VtvvaWYmJhKnWfDhg0aP368tm3bprVr16qwsFBDhw7V6dOnJUk5OTnatWuXHnnkEe3atUvLly/XL7/8oiuuuKIqYQMAakB5Hdu0+a9IJpPaXG6fCN/ZupO6T3pPY+d9qX9OuFwhAb5Ozx/o56PkwxmKj4l02j4gNkqtwoLUo20TdWweWrs70QAAoN5xV/8Z9V9Fk0nhIQHq2DxUvdpZv9/+mWN2mggv5mxG5tGMXE1IStZFczZo1IKtuui5Dbo3KVlHM3KrdQ/lJfQzcguUlm2u1jUyc8zafyJbyakntf+PbGXmVP58ZZ3jyMkcPVgqES793X8JDfLTgNgop+cdEBulqNDyS0FXN35PcPdM7qjQgCo9T556b9Y1FRmcUJtU9fWW6t69SpJSUyWTyfrHWSK8SRMpPV0yDOntt0mEAwBQwyo9M7ykgoIC7dixQ9u3b9evv/6qFi1aVOr4Tz75xO7x4sWL1bx5c+3cuVMDBgxQeHi41q5da7fPvHnzdP755ys1NVXt2rVzOGd+fr7y8/Ntj7OysioVEwDAvZx1bE2GRQ+ve123zV7lsP9bcZfqsYvvlMXHmvzelJImQ4YSE6Id1gWPj4lU8uGMEmuDW2ecFBsQG6XZo3uQAAcAADWuuv1n1H/FySRna4KXlUyq7IxMT87CLC+WQD+fapXHdkcp5bLO0SjAV4fSc7SlVCK8WHnl6svre9TmUtDunvEeHhJQ6eepzs8Qlvtmtde1MvNVeb2L1Zl7NZuliy6SNm92vc/27da1wgEAQK1SpWT4l19+qaVLl2rZsmUqKirSVVddpQ8//FAXXnhhtYLJzMyUJDVt2rTMfUwmkyIiIpy2z5w5UzNmzKhWHAAA98nM/XsUd4g5V68te0L9Unc77PfTY//RJXldnJ5jc0q67hkUY5cMT4iJ1Lj4aE1MSlaOuUhJ2w9p1lU9lF9osZWMpCQ6AACoaZ7qP6P+qWoyqbJJdHeXwy4dS//YKKfnLx7IOqrXGVU6tzsSpeWd44mR3ZSRW7Vy9eX1PWp7oreqgzHK0joiuFLPkyffm97gzsEOdbEcf2Vf72K1/l5nzpQeesh1+9y50r33ei8eAABQaZVOhrdp00bp6ekaNmyYXn75ZY0YMUJBQUHVDsQwDE2ePFkJCQnq1q2b033y8vI0ZcoUXX/99QoLC3O6z9SpUzV58mTb46ysLLVt27ba8QEAqiYk0E9tMn/XR0vuU0RetkP7zjeWa/SPAVow+hzpnV0uzxPk76svJg9URq5Z5kKLcsxF8jWZ9OzVPRUR7K/2kSE6o0mIJ28FAACgUjzVf0b9VZVkUmWT6J6chRkeEqCZo7pryvLddhWb4mMidUt8tN77OlVRCdFVOrc7EqXlneO0uVCBfmWXMy5Zrr4yidnanuitzsze8s5b0WPrzAxhJ9w92METgxO8obL/LqRaeq8bNkiDBrluv/xyaeVKydf5cm4AAKB2qXQy/NFHH9XVV1+tJk2auDWQCRMmaPfu3drsotRMQUGBrrvuOlksFi1YsMDleQIDAxUYGOjW2AAAVbRxozoNHKjSn+wZQaG6fOwLat+7q+JaNpF+TCn3R6fwYH91bB4q6e/Sc6fyCtQ2KIQZ4AAAoFbyVP8Z9VtVkkmVSaJ7ehZmm6Yhmj26hw6l5ygjt0CBfj5KPpyh975O1eMju1X5e7s7EqXlnSPHXKTkwxmKj4l0Wiq9fzUSc6WvHRLgq8SEaMW1jVChxZBJ0r7fTyk7v7Ba5bWro6oze93F0+9Nd5Uwd8bdgx08NTihNqo19/r771KrVtZ1vp3x8ZGOHpVY5gQAgDqn0snwO+64w+1B3HvvvVq9erU2btyoNm3aOLQXFBTommuu0cGDB7Vu3TqXs8IBALXEK69Id97psHlrux66bfQjygkIts0OmZiULEll/uhUejR4VX4gBAAA8DZP9J8BVyr6HdkbszDPaBKi0EA/W1J1VK8zFJUQXW4Z8bISle5IlJZ3jvBgf/18LEu3xFtnr5fsmyTERGrmqO5uWU89JMBXc8fEafGWg1q0+aDmjonTI6u/t7teTa0lXpN9LU++Nz29XrsnZrXX9OAEb6qxey0qkkaOlP73P9f7rF8vDRzo2TgAAIBHVWnNcHcxDEP33nuvVqxYofXr1ys62rFUVnEifN++ffryyy8VGRlZA5ECAMpVVGRdJ2vhQoemJX1GKW36U4pr31TPFlrUvHGgfvn9lG29b0m2H4FMkl1Jxfo48h0AAACoKd6ahVmZpGpFEpVlrUde0Rnb5SVbmzcO1IyR3fTYqu8V166JEuOjlV9occuyTCWvnZgQrcVbDmpLSromXBhj+3tJtWUtcW/y1HvTG+u1e2pWe0MaCO7Ve50/v+x1vp96qux1wgEAQJ1So8nw8ePHa+nSpVq1apUaN26s48ePS5LCw8MVHByswsJC/eMf/9CuXbv00UcfqaioyLZP06ZNFRDQML4MAoA3VKRknNN9CnKl4cOlr75yOOeh517SwBPtrQ/WH5B0QNLfMyHObd/E9oNEjrlI732dqtmjeyivwFLvR74DAAAANaU2zTitTKJy/OAYWQzDLnEcHxOp8YNjKnStiiRbw0OkZ6/u6fbnpuS149pGaP66FEmy+3tptWEtcW/zxHvTG+u118p1r2Hvm2+k88933d6/v/T55xK/NwMAUO/UaDJ84V+zBwcNGmS3ffHixRo3bpx+++03rV69WpLUq1cvu32+/PJLh+MAAFVTkZkYpffp8OcRffrGRMmc73jCrVulvn1VeCJbmrPBoTnHXKSJScn6eGJ/FVqMGv8BDgAAAGhoasuM04omKtOyzUpc8o0SE6JtM7aL1yNPXPKNPpyQUO79ZOaYlVdQpGmXd5HFMJSTX6TwYMd+iKeem+JE7y8nsm3b8gstZR5zKq/Ao2td10bufv49UcK8tFqz7jXs/fmn1LGjlJHhep9Dh6R27bwWEgAA8L4aL5Nelg4dOpS7DwCgeioyE0OSbZ+Eg8l6+/1HHM5zPLSpZj66RA/efrFdKUNXo+N7t2+iiBB/fhQAAAAAGrCKJiqz8gqUYy5yOYu6vITm0YxcPbrqe3VqFaa4thHKL7SoSYi/gvwDvdonCQ8JUNMS1wv08ylz/+AAX01ISvbYWtcNgadKmJdWmyouNGgWi3TTTdLSpa73+d//pEsv9V5MAACgRpX9jduJN954Q//73/9sjx944AFFRESoX79+OnTokFuDAwB4XkVmYqRlm9UxaZF+nX25QyJ83Zm99f2+I9q19XuNHNFHG375Q5k5Zkl/j44fEBtldwyj4wEAQENA/xkoX0UTldVJaGbmmPXoqu913fntlJx6Ure+sUP3vLNLY17drgeX7dZvf+ZUPvBqKB40LEnJhzMUHxPpdL/+sVHa/Vumy4HLxf0ulK3k812au0uYh4cEqGPzUPVq10Qdm4fS5/WmN96QTCbJ19d5IvyBByTDsP4hEQ4AQINS6WT4008/reBg68jTr776SvPnz9d//vMfRUVF6f7773d7gAAAzyprJoavpUgRE+5UxxaNNf2LV+za5vW9Vh0e+FCJV09Xaq5J97yzS4lLvtFHu4/qZM7f5yweHf/F5IFaeU8/fTF5oOaNiVMrZjEAAIB6jv4zUL6KJiqrk9BMyzarU6swLd5y0G69cUnanJKuqSv2eDWxXDxouH9slBZtPqhb4qMdEuLFa6E3Cw3U62N7a8EN52jRuPM04cIYhQT42gYuo3wM0q7Hvv/emgA3maRx4xzbe/SQcnKsCfDZs70eHgAAqB0qXSb98OHDiomJkSStXLlS//jHP3THHXcoPj6eNbwBoA5yNsMiPPeU3nlvmrr9vt+hbcIVD+ijzgPstpUs7bclJV2PrPpe88fE2X5UqC3rEQIAAHgT/WegfBVda7ki+7laWzsrr0BxbSNclljfVGJtck8rjvFUnlkPDe8ki6TfTubqwUs6yVxo0R/Z+Qrw/Xst9Fdv7q1xr21XSICvEhOi1ffMSCV0jFJuQZEsLC1YYZQwr0dOnZK6dZNSU13v88svUmys92ICAAC1WqWT4aGhoUpPT1e7du302Wef2UazBwUFKTc31+0BAgA8q+S63h3TDmvt6/fIR44/qjw8bbHeKWjmsD0+JlLJhzPstnnzxyQAAIDaiv4zUDEVTVSWtd/RjFw9uGy307W1w4P9dSwzr8wYyltz3B2cxfj62N66862dLo/JzC1QSICv5o6J0+ItB+0S+v3/GgjA2uEVwyDtOswwpPHjpYULXe/z/vvS1Vd7LyYAAFBnVDoZPmTIEN12222Ki4vTL7/8ossuu0yS9MMPP6hDhw7ujg8A4GHhIQF6vtFvipz9D4e2wugz5bd1iw74hmpw2mn9WqqsYHxMpG6Jj9bEpGSHY73xYxIAAEBtRv8ZqLiKJiqd7ZeZY3ZIMkt/r639zNU9FRFc9TXH3cFVjOUJ9PNRYkK00xLvm/66v3klqnIB9cqyZdI/HH+rsLnrLmnBAmuZdAAAABcqvWb4Sy+9pL59++qPP/7QsmXLFBlpXdNo586dGjNmjNsDBABUXmaOWftPZCs59aT2/5HtsP5dZo5Z+38/pSNTp0smkyLH2Hcusy8fqcw/s+R3YL/UsqUiGwXova9TFdeuiV4f21sLbzxHa+7rr7h2TTQxKVk55iKHGDz9YxIAAEBtR/8Z8I60bLPLJPPGfWnKzitU+8gQJZRal7tYeWuOu4OrGJMPZzisF16suApXXNsIh0R4MdYOR72TkvL3OuDOEuHt20tZWdbZ4gsXkggHAADlqvTM8IiICM2fP99h+4wZM9wSEACgesoqD9g6IlhHT2Tq0Iir1ffrtY4HP/GE9PDDCi3VmQwPCdCMkd00ZdluW1m+SRfH6rvUk04T4d74MQkAAKC2o/8MeEdWOVWpTuUVqGPzJnpqVHdNW/G9NqX83VdKiInUk1d28/jMalcxLtp8UHPHxMlH0qYSCe/+sVEa26+DJiYl69mre5Z57rKqcrlaRx2oVXJzpQsukHbvdr3P7t1S9+7eiwkAANQblU6Gb9y4scz2AQMGVDkYAED1lFUe8KklG/Tiwklq/cvPal3quDtGPay8y0ZYy+u5GFVden2+sGB//eOcNnpoxR5tLJV4nz26Bz+wAACABo/+MxqSmky6hpVTlapxkL8yc8x64qMf1bNdhMbFd1B+oUWBfj5KPpyhJz76Uc9e3dOj8bqKMcdcpIlJyXr3jgs07lS+JKlNk2BFhARo2oo9yjEXKdCv7MKOrqpylTdQGqhxU6dKs2a5bl+0SLrlFu/FAwAA6qVKJ8MHDRrksM1UInFSVOQ4QxAA4B3OSu91PnFAHy+e6HT/YYnz9XOzDtYHf5XXK+sHIGfr85VMkDcO8ldUKDMNAAAAJPrPaDicJV2HdG6u6Vd0VV6BxeMJ8qjQAA2IjbIbpFusuGpVWrZZn+89oc/3nnB6jvL6Qu6MMSTAV4kJ0YprG6H8QouahPgrLMhPoYF+iizxHM0Y2U35hbttpdSdlUp3VZWrvHXUWWccNeaTT6Thw123jxkjvf225FPp1T0BAACcqnQy/OTJk3aPCwoKlJycrEceeURPPfWU2wIDAFReydJ7w37eqpdXPu2wz89R7TRmzEz9GRLu0FZWeT1XnCXIAQAAQP8ZDYOzpGtIgK+uPb+dHli22y6B66lZyeEhAZo1uoemLNttlxDvHxulp0d1V3hIgA6knS7zHFXpC1UlxsdWfa9rz2+nxVsO2pagkv5+bkr2rYqrc6WfNmtU3BmavvoHh1nerqpylbeOuqeT/4Cdw4eldu1ct4eHSwcOSE2bei8mAADQYFQ6GR4e7pg8GTJkiAIDA3X//fdr586dbgkMAFB5YYF+mrT5HU3akuTQtqLLIHVe84EuWbjd5fGuyusBAACg8ug/oyFwlnRNTIjW4i0HHWYye3JWcuuIYM28qrsOpecoI7fAVgJ9xoc/aMbIbgoPLr+Uuqe1jgjWk6O661/vf1vh56bk4OP5lajKVZF11AGPKiiQLrpI2rTJ9T7btkl9+ngvJgAA0CBVOhnuSrNmzfTzzz+763QAgMrIy5Ouu04dV63SpFJNTw1K1Kt9rtKA2Cj1axJabvlAAAAAeBb9Z9QnzpKucW0j7GY9l+TOWckl1ykPDfTTjkMn9cRHPyrHbL8EQX7hbj1zdc8a7wtl5ph18rRZm5yUO5fKf24qU5WrvHXUGwX6af+JbJcl7GtyDXjUcbNmWdcCd+XFF6WJzpdyAwAA8IRKJ8N3795t99gwDB07dkyzZs1Sz5493RYYAOBvLn+IOHZM6ttXOnTI4Zhx/5iu9R17S/q7fF6LsCCn5QPLKq8HAACAqqH/jIbAWdI1v9BS5jHumJXsbJ3y+JhIzR0Tp4lJyXYJ8Y370pSdV1ijfaHieMecX0apaLlvxnZZ66j3j43SjkMnNXX5Htu2kiXsnT23nipxj3pi40Zp4EDX7ZdeKq1eLfn6ei8mAACAv1Q6Gd6rVy+ZTCYZhmG3/YILLtCiRYvcFhgAwMrZDxFj/U5oxlOJjjv7+Ul79iiz3Zl6JNusSU7K5xWvO1fR8noAAACoGvrPaAicJV0D/XzKPKa6JcmdrVMuyVZ6PDEh2mFm+qm8AnVsHlojfaGS8Y7r16HMfd1Vrt3VOuoDYqN0z+AYJS75xm7/4jLtz1zd0+lz68kS96ijTpyQWreWiopc73PsmNSypfdiAgAAcKLSyfCDBw/aPfbx8VGzZs0UFBTktqAAAFalf+S54sf1mvvhs447nnee9OmnUpMmkqRwqcwfKCpTXg8AAABVQ/8ZDYGzpGvy4QwlxERqs5Ny4BUtSe6qOlZmjlnHMvMckrXFtqSkKzE+2mF7cZK5JvpCJddVTz6cofiYSIc1wyX3l2t3NhDaz8ek4XM3OZSSl6wJ75OnHdeAL9nurhL3qKOKiqRRo6QPP3S9z5dfSoMGeS0kAACA8lQ6Gd6+fXtPxAEADVJ567ClZZu16Zc/9OCGN3T39v9zOD7rxnEKW/yqdUY4AAAAahX6z2goSiddw4L9dV3vtnpoxZ4qlSR3Vab7ySu76fGPftRV57Qp8/jSZdq9tSa4KyXXVX/361S9NvY8+ehnbUrxfLn20sn/5NSTThPhf8daWOb5yirjzjrj9dhLL0kTJrhuf+IJado078UDAABQCRXKnsydO7fCJ5w4cWKVgwGAhuS3P3M0dflubSoxI8BuHbacHDW7ZqR+3bDO4dhHL75Tb547Qivv6adeJMIBAABqDfrPaKiczbiuSklyVyXQN+5L00Mr9qhXuybllmEv2e6tNcHLUryuekiAr2aN7qG5X/yinu0iNC6+g/ILLYoI9lf7yBC18sJ63CVjSUyIVlzbCOUXWhTk76tdqScVHlx2/9JVGXdnAxj6x0Zp+hVdZZIUSWK87tmxw1qFzpX4eGndOimA1xUAANRuJqP04mVOREc7lpdyejKTSQcOHKh2UO6UlZWl8PBwZWZmKiwsrKbDAQBJ0pGTOXpg2W6npfGujCzSnGfvkM+J3x3axlz3lL5q39P2+IvJA9WxeahHYwUAAGhoqtOPrMv9Z0+hX47K2H8iWxfN2eCy/fWxvZV8OEPJqSddlhp/YmQ3ncwxe21N8PJk5ph1b1KyerSNKDNub6zHnZlj1r8++E7Xnt9Oi7cctIslISZST1/VQ098+IPW7j1R4Rgzc8yakJTstLx6fEyk4to10e7DGX8P/EbtdfKkFBMj/fmn631+/VWi8gkAAPAgd/chKzSdsPQ6ZwCAqsvMMetQeo7DDyDn/vajlr3zgMP+uUEhGnbzi0pt0spue02X+gMAAIAj+s9A9WSVUYZbspZAX7T5oOaOiZMku35V8SzwVhHBaq9Gtu01Xb67eF31X9NOa/66FKf7eGs97vCQAE2/oqvTwdmbU9I1bcUezbyqu/ILLRUucV9yTfTSitdwn78uRVOW7fZKwh+VZBjSzTdLb7/tep+PPpIuu8x7MQEAALgRtXUBwMvSss3KyP37B56rd3+mZz52Uk6zf3/po4900uKvDst2K7UKa+0BAAAAQF0S5qIMd7FAPx/lmIs0MSlZiQnRSoyPVn6hRWdGNVKr8CCHPpKr9ce9PUu5dUSwjmfmlrlPWetxu1NegcXp7HTJmpTPK7BUqsR9RQYwFJ/bGwl/VNCbb0pjx7pu//e/pf/8x3vxAAAAeEilk+GJiYllti9atKjKwQBAQ5CVV6BAH+mxz1/WLTs/dGhffO4IDfjwLXVsFS5Jaq2qrbUHAACAmkX/Gai8qNAADYiNspuVXCwhJlLJhzMkSTnmItss67LKd7taf7wmZimHB5d9LVfrcbtbecnrU3kF6tg8tMLPTUUGMJQ8N2rQDz9I3bq5bu/WTfr6aymYcvYAAKD+qHQy/OTJk3aPCwoK9P333ysjI0MXXnih2wIDgHrp1Cl1um6Egr/a4tD04CX36r2ew9Q/NkpXhdt3PMNDSH4DAADUNfSfgcorLik+ZdluhzLdT17ZTU989KPd/lUt310Ts5TLSvR7cxms8pLXlU3Kl3Vf8SUGMFTl3HCD7Gype3frWt+u/PyzdNZZXgsJAADAmyqdDF+xYoXDNovFonvuuUdnnnmmW4ICgLqkQuvPHTggxcVJWVkqPb76HzfM1o42XSVZZzrMHNWdxDcAAEA9QP8ZqJrWEcEuq2M9e3VPt5Xv9vYs5bIS/d5cBsvdSXlX9xUfE6lb4qM1MSm5yudGFRmGdO+90ksvud7nvfeka67xXkwAAAA1xGQYhuGOE/38888aNGiQjh075o7TuU1WVpbCw8OVmZmpsLCwmg4HQB33e1aeMnLMMgzJkHQ6v1CFFkObU9K0aPNB5ZiL7Nef+/JLycmsn6KoZnpoymtq1v1sxbWNUH6hRRHB/mofGaIzmoR4/8YAAABg4+l+ZG3tP3sK/XLUlP0nsnXRnA0u27+YPFAdm4dW6dxlDYoub8B0cXtNLoN1NCPXZVK+VRXXUi++r4xcs/ILLNp6IN2un1ydc6OCli+XRo923X7nndLChZLJ5L2YAAAAKsndfchKzwx3Zf/+/SosLHTX6QCg1jmcflq/ZeSqaaMAPfW/H7UpJd3WFh8Tqblj4jQxKVkb96Vp7YRHNfadZx1PMmSItGKFfBs10kO14AcQAAAAeB/9Z8A7PFWW/GhGrsNa5MXJXkNy2mYbMK3asQyWq9n3knUQQZmVz1woeV+ZOWa1CAvSxZ2a09/1tP37pZgY1+1t20rffy8xGAkAADRQlU6GT5482e6xYRg6duyY/ve//2ns2LFuCwwAapPUP3M0dcUexbVrouTUk9pSIhEuSVtS0mWyFClpxyL1/PgDxxP8+9/SrFmSj49tU234AQQAAACeQ/8ZqFmeKEuemWPWhl/+0Lh+HTTm/HYK8vfVrtSTWrT5oNb/8ofW7D6mTSn2yfeN+9I0ZdluzRsTV6v6gKX7pK6S/CUT+VU9N9wsL0/q21f69lvX+3z3ndSjh9dCAgAAqK0qnQxPTk62e+zj46NmzZrpueeeU2JiotsCAwBvqUgJu8dXf6+4dk00rGsLzV+XYnd8WF623nz/EfU6ts/x5G+9Jd14o6dvAQAAALUQ/Weg5pW1/nhVnMwp0Ee7j9oNkC6uFOZnMjkkwott3JemtGxzrU0QZ+aYHRLhUu1N5DdYDz8sPf206/bXXpNuvdV78QAAANQBlU6Gf/nll56IAwBqREVGvqefNuu6Pu21eMtBdWn1d1mxM9N/0yeLJijA4lji8sqbntNzz95R5fXnAAAAUPfRfwZqB3fNUs7MMeuRlXucVgqTpH8NPbvM40/lFVQ7Bk9JyzY7JMKL1fZEfr336afSJZe4br/uOumdd+wq0QEAAOBvfEsC0GCVN/I9M8csSSq0GFq85aC2pKQr0M9HAw7s1K+zL9e61+6yS4QfadxMm79MVocHP1LYwPgqrz8HAAAAAKh90rLN2lQqEV5sS0q6/HxNZR7fOMjfE2G5RVY5ifranMivl377TTKZrH+cJcLDwqS0NMkwpKQkEuEAAABlqNDM8Li4OJlMZX+hL7Zr165qBQQA3pJ+2qyebSM0rl8H5Rda7NZ6Kzny3WIxtCUlXbd+vUIXzb5cF5U6z9qY8zXhigfVu3NrxZmDq7X+HAAAAOo2T/afFyxYoGeeeUbHjh1T165d9cILL6h///5O912+fLkWLlyob7/9Vvn5+erataumT5+uYcOG2fYpKCjQzJkz9cYbb+jIkSM6++yzNXv2bF1SIvEyffp0zZgxw+7cLVq00PHjxysVO1AflJswzi3UgNgou/XJiw2IjfLYgOnylv6qiLByEvW1OZFfbxQUSEOGSBs2uN5n2zapTx/vxQQAAFAPVCgZfuWVV9r+npeXpwULFqhLly7q27evJGnbtm364YcfdM8993gkSADwBENScupJuzXAi9d6m5iUbB35XlCgZhNu16/L33c4/sV+1+n5hBskk0n9Y6I0/YquMpmk2xOiSYQDAAA0UJ7qP7/33nuaNGmSFixYoPj4eL388ssaPny4fvzxR7Vr185h/40bN2rIkCF6+umnFRERocWLF2vEiBHavn274uLiJEnTpk3T22+/rVdffVWdOnXSp59+qlGjRmnr1q22fSSpa9eu+vzzz22PfX19KxU7UF+UlzCODA3QrNE9NGXZbruEuCcHTFdk6a+KiAoNqJFEPiTNni1NmeK6/fnnpUmTvBYOAABAfWMyDMOozAG33XabWrVqpSeeeMJu+2OPPabDhw9r0aJFbg2wurKyshQeHq7MzEyFhYWVfwCABiEzx6wJS3c5LXEXHxOpvhHS7Y/epsC9Pzi03z/6IZ1xx82Kaxuh/EKL2jUN0Z4jmbq0W0uS4AAAAPWAu/qR7uw/9+nTR+ecc44WLlxo29a5c2ddeeWVmjlzZoXO0bVrV1177bV69NFHJUmtW7fWww8/rPHjx9v2ufLKKxUaGqq3335bknVm+MqVK/Xtt99WONb8/Hzl5+fbHmdlZalt27b0y1HnZeaYdW9SssuE8bwxcQoPCbDN1D6VV6DGQf6KCnXPmuXO4pmQlOx0re+S8VTU0Yxcl4n8VpVIrKMCNm2SBgxw3T58uLR6teRXoXlMAAAA9Yq7c7uV/kb1wQcfaMeOHQ7bb7zxRvXu3bvWJcMBwBlXa72d9cevemf25U6PuWzci/qhRUfrg79mk8fHROryHq016KxmJMIBAABgx139Z7PZrJ07d2pKqZmDQ4cO1datWyt0DovFolOnTqlp06a2bfn5+QoKCrLbLzg4WJs3b7bbtm/fPrVu3VqBgYHq06ePnn76aZ155pkurzVz5kyH0upAfRAeUrGZ3+Ehfye/ixPjB9JOV7mEuStp2WaniXBJdkt/VVTriGDNGxPnlUR+g3TihHTGGVJhoet9jh6VWrXyXkwAAAANQKWT4cUd49jYWLvtmzdvduhEA0BNKW/NtNJrvV28b7teW/5E6dNIsbHSpk06GhimyGW7pRI/NPSPjdITI7upSYg/Pw4AAADAgbv6z2lpaSoqKlKLFi3stldm7e7nnntOp0+f1jXXXGPbNmzYMM2ZM0cDBgxQx44d9cUXX2jVqlUqKiqy7dOnTx+9+eabOuuss/T777/rySefVL9+/fTDDz8oMjLS6bWmTp2qyZMn2x4XzwwH6oPKJIzdVcLclXLXMC+n3ZmSiXy4QVGRdNVV1lnerqxbJw0e7L2YAAAAGphKJ8MnTZqku+++Wzt37tQFF1wgybrm2aJFi2yl1gCgJjn7waF/bJRmjuquNk1DJP211pth6J5tH+iBjW86nCP7ilEKfT9JCgyUJLWWGCEPAACASnF3/9lkMtk9NgzDYZszSUlJmj59ulatWqXmzZvbtr/44ou6/fbb1alTJ5lMJnXs2FG33HKLFi9ebNtn+PDhtr93795dffv2VceOHfXGG2/YJbxLCgwMVOBf36OB+qgiCePMHLNDv1Syztiesmx3pUuYO1PeGuaNy2mHBy1cKN1zj+v2xx+XHnnEe/EAAAA0YJVOhk+ZMkVnnnmmXnzxRS1dulSSdZ2yJUuW2I0wBwBv+z0rTydPm5WRU6AHL+mkcf3y9OCy3bbScVOW79bs0T10Roiv2t49Tr8uX+Zwjv8MuFnf33S35l1/jhRo/8MEI+QBAABQGe7qP0dFRcnX19dhFviJEyccZouX9t577+nWW2/VBx98oIsvvtiurVmzZlq5cqXy8vKUnp6u1q1ba8qUKYqOjnZ5vkaNGql79+7at29fheMHaqvyKopVh7tLmDsTFRqgAbFRLtcwjwql/+pVO3dKvXu7bu/bV/ryS9ugewAAAHhHpZPhknTNNdeQ+AZQ44p/uMgxF6hxUIAeXrlHW0qsA54QE6l3brtAN7y2TWnZZv30XYqaPnWD9OsBlf5J4LarHtHnsX0c1noDAAAAqsMd/eeAgACde+65Wrt2rUaNGmXbvnbtWo0cOdLlcUlJSUpMTFRSUpIuu+wyl/sFBQXpjDPOUEFBgZYtW1ZmvPn5+dq7d6/69+9ftZsBaom6WMK8tIquYQ4PysiQYmKk9HTX+/z6q9S+vbciAgAAQClVSoZL0s6dO7V3716ZTCZ16dJFcXFx7owLAMpU8oeL18f21qxPfrZLhEvS5pR0PfHRD3qps0l9/nG50/Oc+nqXTrSP1YS8Ak2l9DkAAAA8wB3958mTJ+umm25S79691bdvX73yyitKTU3VXXfdJcm6TveRI0f05pvWJYCSkpJ0880368UXX9QFF1xgm1UeHBys8PBwSdL27dt15MgR9erVS0eOHNH06dNlsVj0wAMP2K77r3/9SyNGjFC7du104sQJPfnkk8rKytLYsWOr+7QAVVbdGd31qYR5ZdYwh5sYhjR2rPTWW673+fBD6XLnv0MAAADAuyqdDD9x4oSuu+46rV+/XhERETIMQ5mZmRo8eLDeffddNWvWzBNxAoBN8Q8XOw+d1IQLY9QqItiWCA8J8FViQrTi2kaoyZpVOud2x85nfpduCty4XoqMVGNJjb0bPgAAABoId/afr732WqWnp+vxxx/XsWPH1K1bN61Zs0bt/5pteOzYMaWmptr2f/nll1VYWKjx48dr/Pjxtu1jx47VkiVLJEl5eXmaNm2aDhw4oNDQUF166aV66623FBERYdv/t99+05gxY5SWlqZmzZrpggsu0LZt22zXBbzNHTO661sJc5b08pK335Zuusl1+z//KT37rPfiAQAAQIWYDMMwKnPAtddeq/379+utt95S586dJUk//vijxo4dq5iYGCUlJXkk0KrKyspSeHi4MjMzFRYWVtPhAKiG4tH/+YVF+sd/v9LcMXFavOWgJgyO1ZhXtykkwFdzr+ulrAcf0lUfLXY4fku/S7X94dm6NK6dOrXi8wAAAADOuasfWdf6z55Cvxzukplj1oSkZKeJ7AGxURWe0Z2celKjFmx12b7ynn7q1a5JtWKVrIl7VyXMW7mhFDu84IcfpG7dXLd36SJ9840UEuK9mAAAAOo5d/chKz0z/JNPPtHnn39u68hLUpcuXfTSSy9p6NCh1Q4IAJwpOfp/wQ3nKDEhWou3HNSWlHRNGd5JgQX5Wr1hvmKe+NLh2CcuvE0/j7lVD1zSSa+9sk2Dup5RA3cAAACAhob+M+Be7prRTQlzlCk7W+rVS9q/3/U+P/0knX2210ICAABA1VU6GW6xWOTv79gp8Pf3l8VicUtQAFDS71l5+jXttMac3063xEcrLMhPgX4Rmr8uRc1PpSu2dzf9fPyIw3E3Xz1DG8881/ogJV2J2WblmIsUHuyeHzYAAACAstB/BtwrK6+gzPZT5bQXo4Q5HBiGNHGiNH++633efVe69lrvxQQAAAC3qHQy/MILL9R9992npKQktW7dWpJ05MgR3X///brooovcHiCAhu1oRq4e/L/vtOmvNcEl6elR3RT764/6dbaT9cB9/XVJ4nwdbOo4+zuvoMjtP2wAAAAArtB/BtzLXTO6w0MCNGt0D5clzEleNyArVkhXXeW6/fbbpZdflkwm78UEAAAAt6p0Mnz+/PkaOXKkOnTooLZt28pkMik1NVXdu3fX22+/7YkYAdRzxWuBZ+UVKCzYX1GNrCPnM3PM1tLoJRLhV/7wpa53kgTf06aTfD79RJe9+b3L60QE+/PDBgAAALyG/jPgXu6c0U0J8wZs/34pJsZ1+xlnSD/+KLlhfUoAAADUvEonw9u2batdu3Zp7dq1+umnn2QYhrp06aKLL77YE/EBqGdKJ76D/Hz02Oof9PneE7Z9BsRGadboHsorKNKmfWkyGRZNWb9Ed3693OF87/S6RI8MuVsWH19N+C1P8TGR2lIieV6sf2yUOjYPVYuwII/eHwAAAFCM/jPgXu6e0U0J8wYkL0/q109KTna9T3Kyda1wAAAA1CsmwzCMmrr4zJkztXz5cv30008KDg5Wv379NHv2bJ199tm2fQzD0IwZM/TKK6/o5MmT6tOnj1566SV17dq1QtfIyspSeHi4MjMzFcaITqBGFCfAT+aYVVBk0Zb96Vq0+aByzEVKiInUuPhoTUxKVo65yHbMgNgoPTK4vY5fOFz9D33rcM4Zw8frukVP64mPftTmv5LfIQG+WjTuPL30ZYo2OflhpFVEsMfvFQAAAHUf/Uj34vmEuxX3MZnRjXI98oj05JOu2199VbrtNu/FAwAAgHK5uw9Z4Znhb775ZoX2u/nmmyt88Q0bNmj8+PE677zzVFhYqIcfflhDhw7Vjz/+qEaNGkmS/vOf/2jOnDlasmSJzjrrLD355JMaMmSIfv75ZzVu3LjC1wJQM45m5FpLnZdITsfHRGrumDhNTErW5pR0GZISE6I1f12KJOmMzBN6/t7rFZmbpdhS5xtz3dP6qn0PSdKw02bNHt1DeQUWux9B5lPqDgAAADXIE/1nAH9jRjfK9Nln0rBhrtuvuUZKSpJ8fLwXEwAAAGpMhWeG+/j4KDQ0VH5+fnJ1iMlk0p9//lnlYP744w81b95cGzZs0IABA2QYhlq3bq1JkybpwQcflCTl5+erRYsWmj17tu68806Hc+Tn5ys/P9/2OCsrS23btmUEOuBBxaPyM3PNCgn0k4/JJD8fkxoF+ulfH3xnlwgvFh8Tqbh2TWwJ8NfH9tZ/n1yiD5ZOcdg3K7CRLhv3og5HtLRt6x8bpWev7knZcwAAALhddUehe6P/XJcwMxyAx/35p5SYKK1a5by9USPp11+lqCivhgUAAIDKq7GZ4Z07d9bvv/+uG2+8UYmJierRo0e1L15aZmamJKlp06aSpIMHD+r48eMaOnSobZ/AwEANHDhQW7dudZoMnzlzpmbMmOH22AA452rm9y3x0WoU4Os0ES5JW1LSlRgfLUm69rtPdVGXy3VRqX1y+yUo491levCzgzrspOw5iXAAAADURt7oPwNAg1dUZC2BPn266322bpX69vVaSAAAAKh9KpwM/+GHH7R9+3YtWrRIAwYMUExMjG699VbdcMMNbsnKG4ahyZMnKyEhQd26dZMkHT9+XJLUokULu31btGihQ4cOOT3P1KlTNXnyZNvj4pnhANwvM8fskAiXrIluSbpzQEeXx/pYitTx8Sn69d0lDm2Lzr1CG+6cork3nKtWIQGaNyaCsucAAACoMzzdfwaABm3VKunKK123z5kj3X+/18IBAABA7VapxXH69Omjl19+WceOHdPEiRP1/vvvq1WrVrrhhhvsSpNXxYQJE7R7924lJSU5tJlMJrvHhmE4bCsWGBiosLAwuz8APCMt21zmzO8mjfwdtofm5+iDtx/QgWdGqkOpRPi/h09Uhwc/0vq7H9Ksq3vZEt7hIQHq2DxUvdo1UcfmoSTCAQAAUOt5sv8MAA3OTz9JnTpJJpPzRPhTT0mFhZJhkAgHAACAnQrPDC8pODhYN998szp06KDHHntM7777rubPn6/AwMAqBXHvvfdq9erV2rhxo9q0aWPb3rKldX3g48ePq1WrVrbtJ06ccJgtDsDzitcGz8orUFiwv4oMQyEBvsoxFzndv8hiqH9MpDalpKvdyWP6ePG9alSQ57DfiTWfK7t3H92QW6C7mPkNAACAesTd/WcAaDCysqS77pKcTJyRJI0eLb36qtSkiXfjAgAAQJ1S6WT4kSNH9MYbb2jx4sU6ffq0brzxRi1cuFBNqvDF0zAM3XvvvVqxYoXWr1+v6Ohou/bo6Gi1bNlSa9euVVxcnCTJbDZrw4YNmj17dqWvB6DqfvszR1OX79amv0qgS1L/2CjNHROniUnJThPiFouhp8P/UNvZVzi0FTZvoW/e/Vitu5+l9lGN1Nyj0QMAAADe587+MwA0CBaL9Nxz0gMPOG8/80xrmfS/llgEAAAAylPhZPj777+vxYsXa8OGDRo2bJiee+45XXbZZfL19a3yxcePH6+lS5dq1apVaty4sW2N8PDwcAUHB8tkMmnSpEl6+umnFRsbq9jYWD399NMKCQnR9ddfX+XrAqicIydz9ODy3ba1wItt2pcmwzCUmBCt+etS7Nqmp67TOR0udzhXWsJgvf3vOXplx3H1PmDWvD6OpdQBAACAuswT/WcAqNc++0waNsx1+wcfSP/4h/fiAQAAQL1hMgzDqMiOPj4+ateunW644YYyS5RPnDix4hd3se734sWLNW7cOEnW2eMzZszQyy+/rJMnT6pPnz566aWX1K2CI0CzsrIUHh6uzMxM1g9Hg1e6zHlUI8dy5KX3CQ3008E/snXdq9tdnved2/rohte2y9dSpKc+fUnX7f7MYZ/Vw2/WxO5XW9f3kjQgNkqzR/dQq4hg994kAAAAUE3V7Ud6ov9cl9EvB+DUgQPWBHdysvP2hx6Spk+X/BlEDwAA0JC4uw9Z4WR4hw4dXCavbSczmXTgwIFqB+VOdLoBq6MZuXpw2W5t2pdm2zYgNkqzRvdQ64hgncjK0+n8Qj266nuHUujTLuusUQu2ulwbfOk/zlK3cf9Q2A+7Hdr+NepBZY4crelXdFVegUWn8grUmHXBAQAAUItVtx9ZV/vPnkK/HIDN6dPSxInSokXO24cPl954Q2rWzLtxAQAAoNaosWR4XUWnG7DO9p6QlGyXCC92efeW+vclnbQlJU3/23PMoRS6JPWPiVLPdhEOpdA7ph/Wp6+Pl59hcTjm0WmLddOE0fIxmUh8AwAAoE6hH+lePJ9AA2cY0oIF0oQJzttbtpQ+/FDq3du7cQEAAKBWcncfssJrhgOou9KyzU4T4ZJ01blt9NCKPUqMj3aaCJekTSlpumtQR1syfND+HVryf9Md9ksNb6HRNz6jznFnUQIdAAAAAICGbONG60zvnBzn7W++Kd10k3djAgAAQINDMhxoALLyCiRJIQG+SkyIVlzbCOUXWhTk76v2TUOUnJqh/D6Os7tL8vUx6an9n+iG/5vv0FZwxUgdnveasuSrdymBDgAAAABAw/Tbb9J110lbtjhvv/9+aeZMKTDQu3EBAACgwSIZDjQAYUH+Cgnw1dwxcVq85aBdufP+MVGaOyZOfi7WNPQvKtAza17QBbM36IJSbVlTpins6cflbzLpTA/GDwAAAAAAaqm8POmBB6R585y3DxwovfOOdMYZ3o0LAAAAEMlwoF7JzDErLdusrLwChQX7K6qRdYZ2VGiAHrm8ixZvOehQCn1TSposMpQYH634mEhbe9OcTL27dKrOSk91uM7xRW8r+Nqrmf0NAAAAAEBDZBjSkiVSYqLz9rAwac0aKT7eq2EBAAAApZEMB+qJoxm5enDZbm3al2Yrh97vzEgF+PmoSaMAxbWL0NTle5weuyUlXbcmnKlb4qPV9rcUzZrhYs2ub7+VevZUS8/dBgAAAAAAqK2+/lq67DIpLc15+3//K91xh+Si+hwAAADgbZVOhq9Zs0a+vr4aNmyY3fZPP/1UFotFw4cPd1twAOy5mvmdmWO2S4Q7K4f++tjeZZ47au3/1GNioi4utb3w7E7y27hBat7cA3cEAAAA1F/0nwHUC7//Lt10k7R2rfP2O++U5syRQkK8GxcAAABQAT6VPWDKlCkqKipy2G4YhqZMmeKWoAA4OpqRqwlJybpozgaNWrBVFz23QROSkrX/j2wdy8rTpn3WUdmJCdFOy6E7ZRiauCVJv86+XD0m2pc2SxtxlX7/PUN+P+0lEQ4AAABUAf1nAHVWQYE0ZYp1hnfLlo6J8PPOkw4etJZL/+9/SYQDAACg1qr0zPB9+/apS5cuDts7deqklJQUJ0cAqK6SM79L2rQvTY+u+l53Duho2xbXNsJuRnix5MMZtjXBAwvNevHDZ3TJL1857Hd06nTl3jdZUY0DFcWa4AAAAECV0X8GUOe895503XXO2/z8pE8+kS66yLsxAQAAANVQ6WR4eHi4Dhw4oA4dOthtT0lJUaNGjdwVF4AS0rLN2nnopCZcGKO4thHKL7QoyN9Xu1JPatHmg2rSyN+2b36hxek5Fm0+qP9efIaenzpazdOOOu7w4YfS5ZertaduAgAAAGhg6D8DqBN275ZGjJBSU523P/ecNGmS5FPpApMAAABAjat0MvyKK67QpEmTtGLFCnXsaJ2NmpKSon/+85+64oor3B4g0BCVXhv8VJ7Z6Trg8TGRmjsmThaL8fesbz/Hzmm34yn66I1J0hP22w2TSdnfJKvxuT09fEcAAABAw0P/GUCt9eefUmKitGqV8/Ybb5ReekkKC/NuXAAAAICbVXpI5zPPPKNGjRqpU6dOio6OVnR0tDp37qzIyEg9++yznogRaFCOZuTqnx98pxXfHlFmToGycgsUFhygN5ysA74lJV2LtxyUr8lHt8RHKz4m0lYOXZJG/LhBv86+3JoILykuTkpPl8liIREOAAAAeAj9ZwC1SlGR9Pjj1nXAIyMdE+Fdu0o//2xdB/ytt0iEAwAAoF6oUpn0rVu3au3atfruu+8UHBysHj16aMCAAZ6ID2hQMnPMenTV97ru/HZauv2QerWN0LOf/azE+GhtKpUIL7YlJV15hUWamJSsxIRojejeUreueVVNXnzOYd+cG25SyJJF1nW+AAAAAHgU/WcAtcLq1dLIka7b/1o2DQAAAKiPqpQRM5lMGjp0qIYOHerueIAGLS3brE6twrR4y0HFtWuixX/NBr+hT/syj/sjO1+W06c15J+36Ozvv3I87xOz5T95ksJDAjwVOgAAAAAn6D8DqBE//yyNGiXt3eu8/cknpSlTJF9f78YFAAAAeFmFkuFz587VHXfcoaCgIM2dO7fMfSdOnOiWwICGKCuvQHFtIzR/XYoS46Nt64M7Wwe8WMusNF14YZx++uN3x8bPPpOGDFGUpwIGAAAAYIf+M4Aak5Ul3X23tHSp8/arrpJefVVq2tS7cQEAAAA1qELJ8Oeff1433HCDgoKC9Pzzz7vcz2Qy0ZkHypCZY1ZatllZeQUKC/ZXVKMAu9naYUH+OpaZJ0nKL7TYthevA15yzfBzjuzV8rf/7XiR4GDpu++k2FjP3QgAAAAAp+g/A/Aqi0WaM0f6t5PfByQpOtq6Nnj37t6NCwAAAKglKpQMP3jwoNO/A/ibs0S3ZC19nplrVqNAP+06dFJP/G+vcsxFkqQBsVGaNbqHWkcES5KiQgP0e5a/JPvZ4Is2H9TcMXGSpJYr3tdza5z8qNa3r/Txx1J4uCdvEwAAAEAZ6D8D8Iq1a6VhwyTDcN7+3nvSNdd4NyYAAACgFnJde9mFxx9/XDk5OQ7bc3Nz9fjjj7slKKCuOZqRqwlJybpozgaNWrBVI+Zt1t7jpzRh6S5dNGeDrlr4lYa9sEkf7TmmuWPiFBJgXZNr4740TVm2W5k5ZklSeEiA2keGKCEm0jYbXJJy8wv02y13653b+zomwu++WyoslLZuJREOAAAA1CL0nwG41cGD0rnnSiaTNHSoYyJ86lTJbLZuJxEOAAAASJJMhuFqCKlzvr6+OnbsmJo3b263PT09Xc2bN1dRUZFbA6yurKwshYeHKzMzU2FhYTUdDuqhzByzJiQla9O+NNu2CRfGKDn1pF1Z82LxMZGKa9fEth64JH0xeaA6Ng+1Pf7tzxxN//AH3dA1Us1vvEZdf97peOH//le680733gwAAAAAt/Uj61r/2VPolwPVcPq0NGmS9NprztsvuUR64w2p1OcMAAAAUFe5uw9ZoTLpJRmGIZPJ5LD9u+++U9OmTasdEFDXpGWb7RLhkhTXNsIu2V3SlpR0JcZH2207lVdg97hN1gm9cv8w+Zw86XB89idrFTrs4mpGDQAAAMDT6D8DqBLDkBYulMaPd97eooX00UdS797ejQsAAACogyqcDG/SpIlMJpNMJpPOOussuw59UVGRsrOzddddd3kkSKA2Kb02eGau2WGf/EJLmeco3d44yLpOuDZskAYNklRqDYMmTaSdO6XoaIUKAAAAQG1G/xlAlWzebJ3pffq08/Y33pBuvtm7MQEAAAB1XIWT4S+88IIMw1BiYqJmzJih8BJrEwcEBKhDhw7q27evR4IEaoujGbl6cNluu5ngS2/r47BfoJ+PwzZX7f1jo9T6vTekiRMcdxw8WFq9WgolBQ4AAADUFfSfAVTYb79JY8ZYE+HO3HefNHu2FBjo3bgAAACAeqLCyfCxY8dKkqKjoxUfHy8/v0pXWAdqreLZ3pm5ZoUE+snHZJKfj0mRjQIUHhIgSfo9K08P/t932lRqHfCtB9KVEBOpzSW2Jx/OUHxMpMs1w5MPZ8jHUqRXvnlDF89e7hjQ5MnSM89IPmUn1QEAAADUPvSfAZQpL0968EFp7lzn7QMGSEuXSmec4d24AAAAgHqo0j3yxo0ba+/everevbskadWqVVq8eLG6dOmi6dOnKyAgwO1BAp7kbLZ3fEykbomP1sw1ezVjZDeZJB1MO+2QCJekRZsPau6YOJlMJts5Fm0+qNfH9paPTNqU8vd5+8dE6rGBbdTsmlH617c7HINZskT664czAAAAAHUb/WcANoZhLXN+yy3O2xs3ltaskRISvBsXAAAAUM9VOhl+5513asqUKerevbsOHDiga6+9VldddZU++OAD5eTk6IUXXvBAmID7lFzzu2mjAE1b8b1dwlqSbUZ3XLsmmrJst4Z3b6XwYH+n58sxF2liUrJWjY+XxTB0JCNXzRoHau/RLJ3boYluSYiWn69JrY4fVsehCfLJy3U8yVdfSRdc4PZ7BQAAAFBz6D8D0I4d0qWXSn/84bx94ULpzjslk8m7cQEAAAANRKVrMP/yyy/q1auXJOmDDz7QwIEDtXTpUi1ZskTLli1zd3yAWx3NyNWEpGRdNGeDRi3YqpQT2Q6J8GJbUtIV1zZCG/elqXnjwDLXAc8xF8nHZNLZLcN0brsmahTgp7h2TXRJ15Zqu2OzBpzVXLEDzrVPhJ9xhnT4sHV0OIlwAAAAoN6h/ww0UCdOSJdcYk1wn3eeYyL89tul06etvwfcdReJcAAAAMCDKj0z3DAMWSwWSdLnn3+uyy+/XJLUtm1bpaU5TyoCtUFmjlkPLtutnYdOasKFMYprG6GQAD+FBPgqMSFacW0jlF9oUZC/r3alntSizQdVaDE04cIYNWscqIycAi29vY+27k/Xos0HlWMusp17QGyUokKtJQ7DQ/5aZ/zFF6VJkxwDuewy6YMPpOBgL905AAAAgJpA/xloQAoKpEcflWbNct7eu7f0/vtSdLR34wIAAAAauEonw3v37q0nn3xSF198sTZs2KCFCxdKkg4ePKgWLVq4PUDAXdKyzdp56KTmjonT4i0HNX9dipaMO8/ucbH4mEjNvz5ObZuE6M2vfrVrS4iJ1NwxcZqYlKwcc5H6x0Zp9uge1gR4YaF1hPeSJY4BPPyw9MQTjPgGAAAAGgj6z0AD8P770rXXOm/z9ZU++US6+GLvxgQAAADAptLJ8BdeeEE33HCDVq5cqYcfflgxMTGSpP/7v/9Tv3793B4g4C5ZeQVKTIjW4i0HbWuCFxmG3eNiW1LS5SPp0u6tHNo2p6TLJJPeua2Pcs1F6tg8VC0Kc6S4ftK33zpe+N13XXeMAQAAANRb9J+BemrPHmnECOnQIeftzz1nrRTnU+nVCQEAAAC4mckwDMMdJ8rLy5Ovr6/8/f3dcTq3ycrKUnh4uDIzMxUWFlbT4aCGZOaYdSwzT+Yii66Yv8W2fdG485S45BuXx70+trdufWOH07alt/VRbFqqmvU91/nBO3ZI57poAwAAAFBrebofWVv7z55Cvxz1wp9/SrfdJq1Y4bz9hhukBQsk3uMAAABAtbi7D1npmeGuBAUFuetUQJVl5piVlm1WVl6BwoL9FdUoQKfNRXpw2W5t2pemBTecY7d/XkGRizNZ5RdanG6/MOVr9Yu93LGhY0dp82apZcsq3wMAAACA+o3+M1BHFBVJTz9tXQvcmS5dpOXLpbPP9m5cAAAAACqs0snwoqIiPf/883r//feVmpoqs9ls1/7nn3+6LTigMo5m5NqS3sVmXtVda3Yf06YU67ZAP/sSZaUfl2bXbhi6e/v/6cENbzjuOHq09M47UmBg1W8AAAAAQL1C/xmooz78ULriCtftq1dby6QDAAAAqPUqvXjRjBkzNGfOHF1zzTXKzMzU5MmTddVVV8nHx0fTp0/3QIhA+TJzzLZEeEiAryZcGKPXx/ZWdGQj3ZIQrQkXxigkwFfJhzMUHxNpO67045L6x0Tq96w8+RcVaN6q2fr1PyMcE+FPPCFZLNL//R+JcAAAAAB26D8DdcjPP1tneptMzhPhjz8uFRZKhkEiHAAAAKhDKr1meMeOHTV37lxddtllaty4sb799lvbtm3btmnp0qWeirVKWJusYdh/IlsXzdmgkABfzR0Tp8VbDmpLSrqtPT4mUrfER2vKst2aNbqHrb14/yVbDmpzqf3v6hyq3jePUvCBFIfr/fn2u2p6w7VeuTcAAAAA3uWufmRd6z97Cv1y1FqnTkl3322t9ObMqFHSa69JTZt6Ny4AAACgAavxNcOPHz+u7t27S5JCQ0OVmZkpSbr88sv1yCOPVDsgoDKK1whPP23WonHnyTAMLSqVCJdke3zd+e00MSlZiQnRSoyPVqNAP+WZi3RLfLTGD45RgcVQ4Pd71Oeqvk6vd/jLbQo7P05NQwI8fm8AAAAA6jb6z0AtZLFIzz8v/etfzts7dJBWrZJ69PBqWAAAAAA8o9LJ8DZt2ujYsWNq166dYmJi9Nlnn+mcc87RN998o0DKRMNNipPcWXkFCgv2V1SjAIWXSkA7WyP8ndv6OCTCi21JSVdifLRyzEWavy5F8TGRimvXRPPXpWhAbJSe992vyFtucDywa1fpyy+lZs3U1q13CQAAAKA+o/8M1CJffCENGyYVFTlvf+896ZprvBsTAAAAAI+rdDJ81KhR+uKLL9SnTx/dd999GjNmjF5//XWlpqbq/vvv90SMaGCcJbkHxEZp1ugeah0RLMl+jfCSMnMLyjx3fqHFdr7HR3ZTVk6+Ete+oaa3zXTc+YYbpEWLpABmgQMAAACoPPrPQA07eNCa4N6xw3n7lCnWtcD9/b0bFwAAAACvqfSa4aVt27ZNW7duVUxMjK644gp3xeU2rE1Wt5zIylNadr4KLYZyzEXy9/XRpn1/6JWNB9S7fRPNGxOn8JAA2xrhpb0+trdufcNFJ1fSmokJCvTzVZSfReGJN1tLn5X27LPSP//pztsCAAAAUId4qh9Z2/vPnkK/HF6VkyNNmiS9+qrz9mHDpDfflJo392pYAAAAACqmxtcML+2CCy7QBRdcUO1AgCN/5ujwyRzN+zLFrtR5/5gozb8+ThOWJist26zwkABl5TmfAZ58OEPxMZFOS6UPiI1Sm9wMhV00UDp0yPHgNWuk4cPddj8AAAAAUBL9Z8BDDEP673+le+5x3t68ufTRR9J553k3LgAAAAA1rkLJ8NWrV1f4hA1pdDvc58jJHG3Y94f+t+eYQyJ7U0qaJEOJCdE69VcSPCzIeQmzRZsPau6YOPmYTHYl1Mf6ndCM2y53PMDfX9q9W+rUyW33AgAAAKDhov8MeNHmzdZB7dnZztuXLJFuvlkymbwaFgAAAIDao0LJ8CuvvLJCJzOZTCoqKqpOPGiAMnPMOpSeoxZhQU5ndEvSppR0jYuPVuO/kuBRoQEaEBuljaXWDM8xF+m9r1P17NU9lZ1XKN93k9ThvjscT3jeedKnn0pNmrj9fgAAAAA0XPSfAQ87ckS6/npp40bn7ffdJ82eLQUGejcuAAAAALWST0V2slgsFfpDRx6VlZlj1rHMPJlMJjUKLH9sRlRogCQpPCRAs0b30IDYKLv2AbFRevyKrmrx9HR1bNHYMRF+++1SQYH09dckwgEAAAC4Hf1nwAPy863rgJtMUps2jonw/v2lw4et5dJfeIFEOAAAAACbaq8ZDpQnM8es9NNmFVoMWQxDOfmFCg8JUJCfjx5b/YM+33tCkvT62N5lnqdNk2CFhwTYHreOCNa8MXFKyzbrVF6BwiwFanv7jfK/ba3jwfPmSRMmuPW+AAAAAACAB735pjR2rPO20FBpzRprIhwAAAAAXKjQzHBJuvTSS5WZmWl7/NRTTykjI8P2OD09XV26dHFrcKj7jmbk6p8ffKcDaac148MfdMkLm3TVwq900XMb9OCy3bru/HYKCfCVJCUfzlB8TKTT8/SPjVLLsCCH7eEhAeqYf1K9zu+sM6NbyP/zUonwL76wjgwnEQ4AAADASzzVf16wYIGio6MVFBSkc889V5s2bXK57/LlyzVkyBA1a9ZMYWFh6tu3rz799FO7fQoKCvT444+rY8eOCgoKUs+ePfXJJ59U67pAte3YIbVoYZ0F7iwR/tJLksUinTpFIhwAAABAuSqcDP/000+Vn59vezx79mz9+eeftseFhYX6+eef3Rsd6pzMHLP2n8hWcupJ7fv9lDb88oe6nRGuxVsOOqwHvjklXYu3HFRiQrQkadHmg7olPtohId4/Nkr/Gd3Dbla4JGnLFmvnuF076fff/97euLGUkmJNgl94oUfuEwAAAABc8UT/+b333tOkSZP08MMPKzk5Wf3799fw4cOVmprqdP+NGzdqyJAhWrNmjXbu3KnBgwdrxIgRSk5Otu0zbdo0vfzyy5o3b55+/PFH3XXXXRo1apTdPpW9LlAlJ05Iw4db+/jnnWd9XNJtt0nZ2dZ+/j33WPcDAAAAgAowGYZhVGRHHx8fHT9+XM2bN5ckNW7cWN99953OPPNMSdLvv/+u1q1bV2rds40bN+qZZ57Rzp07dezYMa1YsUJXXnmlrT07O1tTpkzRypUrlZ6erg4dOmjixIm6++67K3yNrKwshYeHKzMzU2FhYRU+DpV3NCNXDy7brU370mzb4mMiNWV4J42Yt8Xlca+P7a1b39ghSQoJ8FViQrSGd22p7PxCRYT4q2VYkH0ifNEi6dZbHU/Uv7/00UcSrzMAAACAaqhuP9IT/ec+ffronHPO0cKFC23bOnfurCuvvFIzZ86s0Dm6du2qa6+9Vo8++qgkqXXr1nr44Yc1fvx42z5XXnmlQkND9fbbb1f5uvn5+XaDAbKystS2bVv65bBXUCA99pjk6v177rnSBx9I0dHejQsAAABAjXJ3brfCM8M94fTp0+rZs6fmz5/vtP3+++/XJ598orffflt79+7V/fffr3vvvVerVq3ycqQoS2aOWYfSTuvB//vOLhEuSVtS0nUiK9/FkVb5hRbb33PMRZq/LkW+PiZ1atlYZ7cMsybCLRZp4kTr6O/SifB775UKC6WNG0mEAwAAAKh3zGazdu7cqaFDh9ptHzp0qLZu3Vqhc1gsFp06dUpNmza1bcvPz1dQkP1yVMHBwdq8eXO1rjtz5kyFh4fb/rRt27ZCMaKB+OADa98+IMAxEW4ySZ99Zp0BvmMHiXAAAAAA1VbhZLjJZJKpVBmq0o8ra/jw4XryySd11VVXOW3/6quvNHbsWA0aNEgdOnTQHXfcoZ49e2rHjh0uz5mfn6+srCy7P/CMzByzfj6epR2HTiorv1CbSpVBr6hAP/u34YDYKLUK/2s2+KlT0oABkq+vNG+e/YGvvmrtIM+da20HAAAAgFrA3f3ntLQ0FRUVqUWLFnbbW7RooePHj1foHM8995xOnz6ta665xrZt2LBhmjNnjvbt2yeLxaK1a9dq1apVOnbsWLWuO3XqVGVmZtr+HD58uKK3ivrq+++lM8+0JrtLvAdtnnlGKiqyDoQfMsT78QEAAACot/wquqNhGBo3bpwCAwMlSXl5ebrrrrvUqFEjSbIrgeYuCQkJWr16tRITE9W6dWutX79ev/zyi1588UWXx8ycOVMzZsxweyywdywjV+t//kPNwwKVX2jR6fxCl/smH85Q/5hIp8nyhJhIJR/OsD0eEBul2aN7KPz4b1KvXtZkeGmbNkkJCW64CwAAAABwP0/1n0sn1A3DqFCSPSkpSdOnT9eqVatspdsl6cUXX9Ttt9+uTp06yWQyqWPHjrrlllu0ePHial03MDDQdu9owE6etK71vXy58/brr5cWLqTCGwAAAACPqnAyfOzYsXaPb7zxRod9br755upHVMLcuXN1++23q02bNvLz85OPj49ee+01JZSRCJ06daomT55se1y8NhncJzPHrEPpOfpoz1Ft+SvB/frY3i73X7T5oFbeE68ZH/1g21+S+sdGaeao7jIXWXRxp+ZqHOSvFju3KrRJiONJmjWTvvlGat/e7fcDAAAAAO7k7v5zVFSUfH19HWZjnzhxwmHWdmnvvfeebr31Vn3wwQe6+OKL7dqaNWumlStXKi8vT+np6WrdurWmTJmi6L9KU1fnumigioqspc8fecR5e+fO0ooV0tlnezcuAAAAAA1WhZPhpUeGe8PcuXO1bds2rV69Wu3bt9fGjRt1zz33qFWrVg6d+GKMQHevzByz0rLNysorUFiwv6IaBSgjp0Dzvtxnl9hOPpyh+JhIu23Fzm0XIXNRkf419GxNGW7SyZwC+fuYdGazULUI+2t9ugULpPHjHQMYMsTaUf5rBgUAAAAA1Hbu7j8HBATo3HPP1dq1azVq1Cjb9rVr12rkyJEuj0tKSlJiYqKSkpJ02WWXudwvKChIZ5xxhgoKCrRs2TJbKfWqXhcN0EcfSSNGuG5ftUq64grvxQMAAAAAf6lwMtzbcnNz9dBDD2nFihW2TnuPHj307bff6tlnn3WZDEf1FSfAT+aYVVBk0Zb96Vq0+aByzEUaEBulB4d3ckh6L9p8UHPHxEmSw+zv8YNjdM3L25RjLpL0dyn0Fo38pTvusK79Xdq//y3NmiX5VHhZewAAAACotyZPnqybbrpJvXv3Vt++ffXKK68oNTVVd911lyRrlbQjR47ozTfflGRNhN9888168cUXdcEFF9hmdwcHBys8PFyStH37dh05ckS9evXSkSNHNH36dFksFj3wwAMVvi4asF9+ka66SvrhB+ftM2ZIDz8s+fp6Ny4AAAAAKKHWJsMLCgpUUFAgn1LJUF9fX1kslhqKqv47mpGrB5ft1qZ9abZt8TGRmjsmThOTkrVxX5rGD3ZcHzzHXKSJSclKTIjWQ8M763hWnto1DVHzxtZZ+h9OSNCpvAI1DvJXVGGOwocOtJY9L+2ttyQnJQQBAAAAoCG79tprlZ6erscff1zHjh1Tt27dtGbNGrX/aympY8eOKTU11bb/yy+/rMLCQo0fP17jS1ThGjt2rJYsWSLJupb5tGnTdODAAYWGhurSSy/VW2+9pYiIiApfFw3MqVPSPfdIb7/tvP3KK6XXXpMiI70aFgAAAAC4YjIMw6ipi2dnZyslJUWSFBcXpzlz5mjw4MFq2rSp2rVrp0GDBiktLU3z589X+/bttWHDBt19992aM2eO7r777gpdIysrS+Hh4crMzFRYWJgnb6fOy8wxa0JSsl0ivFh8TKTi2jXR/HUp+r+7+uof//3K5XlW3hOvqNAAtWlaau3vn3+WuneXCgocD9q2TerTp7q3AAAAAADVRj/SvXg+6ziLRXrhBemf/3Te3r69tHq11KOHV8MCAAAAUD+5uw9ZozPDd+zYocGDB9seT548WdLfI9XfffddTZ06VTfccIP+/PNPtW/fXk899RTl2Nyk9HrgfiaTdh46qZAAXyUmRCuubYTyCy0K8vfVrtST6t2uiSRpc0qa+sdGOU2a94+NUrPGATqjSYlE+CefSMOHOwbQtq301VfSGWd46hYBAAAAAEBVfPGFNGyYVFTkvD0pSbruOu/GBAAAAACVVKPJ8EGDBqmsiektW7bU4sWLvRhRw+GsHHr/2CjNvz5OJpn02uYDmr8uxdYWHxOpET1aKSTAV69sPKA1E/vr0VXfa2Op42eO6v53InzOHOcjx0eMkN57TwoO9tj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+      "text/plain": [
+       "<Figure size 2000x1000 with 4 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# for the neural networks models\n",
+    "predicted_values = elasticity_from_hydration_NN.predict(hydration_NN.predict(test_input_gp))\n",
+    "true_values = elasticity_NN.predict(test_input_gp)\n",
+    "plot_model1_vs_model2(true_values, predicted_values, 'comparaison direct elastic against elastic moduli through hydration product nn')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "9818df75-7a35-48c4-8c3e-36de98e318c6",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 2000x1000 with 4 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# For the GP model \n",
+    "predicted_values = gpgh.predict(gph.predict(test_input_gp))\n",
+    "true_values = gpg.predict(test_input_gp)\n",
+    "plot_model1_vs_model2(true_values, predicted_values, 'comparaison direct elastic against elastic moduli through hydration product, gp')\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2e3cea3b-a48d-455d-911e-ff7c347c8b1b",
+   "metadata": {},
+   "source": [
+    "# Surrogate model for the CO2 emission of a cement recipe"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "id": "2e6e2447-6a39-4260-87dd-8cf5327211a2",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "########################################################################################\n",
+    "#\n",
+    "#                   LOAD DATA\n",
+    "#\n",
+    "########################################################################################\n",
+    "file_path = 'data_repo/'\n",
+    "\n",
+    "X = pd.read_csv(file_path+ 'recipe_data_2^15.csv',  index_col=[0])\n",
+    "y = pd.read_csv(file_path+ 'co2_emission_2^15.csv')\n",
+    "train_input, test_input, train_co2, test_co2 = train_test_split(X, y, test_size=0.1, random_state=42)\n",
+    "\n",
+    "X = pd.read_csv(file_path+ 'recipe_data_2^10.csv',  index_col=[0])\n",
+    "y = pd.read_csv(file_path+ 'co2_emission_2^10.csv')\n",
+    "\n",
+    "train_input_gp, test_input_gp, train_co2_gp, test_co2_gp = train_test_split(X, y, test_size=0.2, random_state=42)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "2f6f5a19-2f81-490e-8f3b-cf2f6eb7cce8",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "########################################################################################\n",
+    "#\n",
+    "#                    NEURAL NETWORK\n",
+    "#\n",
+    "########################################################################################\n",
+    "# Model training\n",
+    "#co2_NN, co2_hist = NN_co2(train_input, train_co2, test_input, test_co2)\n",
+    "#co2_NN.save('model/co2_2^15.h5')\n",
+    "\n",
+    "# Load pretrain model\n",
+    "model_path = 'model/co2_2^15.h5'\n",
+    "co2_NN = load_model(model_path, compile=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "0175df51-9e6e-4ed1-8be7-0ab604c872a3",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "########################################################################################\n",
+    "#\n",
+    "#                    Validation of the neural net\n",
+    "#\n",
+    "########################################################################################\n",
+    "# plot the loss per epoch\n",
+    "#plot_loss(co2_hist)\n",
+    "\n",
+    "# evaluate the model\n",
+    "predicted_values = co2_NN(test_input.to_numpy()).numpy()\n",
+    "model_perf = evaluate_predictions(test_co2, predicted_values)\n",
+    "model_perf.to_csv('model_perf/co2_NN_2^15.csv')\n",
+    "\n",
+    "# plot the true vs predicted values\n",
+    "plot_true_vs_predicted(test_co2, predicted_values, 'co2')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "a5b5e0a9-79f2-41ff-a560-6849c1380a8f",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The score for the Gaussian Process for hydration is:  0.9999999999998048\n",
+      "The mean square error of the Gaussian Process on the test set is:  0.02266040350157975\n"
+     ]
+    }
+   ],
+   "source": [
+    "########################################################################################\n",
+    "#\n",
+    "#                    Gaussian Process\n",
+    "#\n",
+    "########################################################################################\n",
+    "kernel = Matern()\n",
+    "gpc = GaussianProcessRegressor(kernel).fit(train_input_gp, train_co2_gp)\n",
+    "print('The score for the Gaussian Process for hydration is: ', gpc.score(train_input_gp, train_co2_gp))\n",
+    "predict = (gpc.predict(test_input_gp))\n",
+    "print('The mean square error of the Gaussian Process on the test set is: ', np.mean((predict-test_co2_gp.to_numpy())**2))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "id": "80edadee-8c85-45f1-beef-e47968d66168",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "########################################################################################\n",
+    "#\n",
+    "#                    Validation of the GP\n",
+    "#\n",
+    "########################################################################################\n",
+    "predicted_values = gpc.predict(test_input_gp)\n",
+    "model_perf = evaluate_predictions(test_co2_gp, predicted_values)\n",
+    "model_perf.to_csv('model_perf/gpc_2^10.csv')\n",
+    "\n",
+    "plot_true_vs_predicted(test_co2_gp, predicted_values, 'co2_gp')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8bc7d745-a486-45e7-bb2f-ec05efd788b0",
+   "metadata": {},
+   "source": [
+    "# Optimization"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "54c7dd03-bb62-4d8c-84af-7ef1fe1d979e",
+   "metadata": {},
+   "source": [
+    "### Standard Optimization"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7c29949b-7f83-4ad5-9818-c114576eb306",
+   "metadata": {},
+   "source": [
+    "Standard optimisation of CO2 using G > 10 as constraint (see DNN opt)\n",
+    "\n",
+    "Run this code in the root environement otherwise it does not work for package compatibility reason"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "id": "5e845ce8-509c-4021-929d-6038865daa8d",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "C3S               60.086032\n",
+       "C2S               26.059775\n",
+       "C3A               12.064128\n",
+       "C4AF               7.427653\n",
+       "RH                 1.000000\n",
+       "T                 25.000000\n",
+       "fineness         385.000000\n",
+       "wc                 0.419176\n",
+       "CSH2               2.191757\n",
+       "limestone          4.469088\n",
+       "silica_fume        5.958785\n",
+       "GGBFS              7.448481\n",
+       "fly_ash            4.767028\n",
+       "calcined_clay     13.407265\n",
+       "Name: 0, dtype: float64"
+      ]
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# OPTIMIZATION USING GP\n",
+    "\n",
+    "#get initial points for the optimization task\n",
+    "initial_points = pd.read_csv('data_repo/recipe_data_2^7.csv', index_col=[0])\n",
+    "initial_points.loc[0]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "id": "8fb2460f-0d01-4c4f-995b-639145d2df6d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "emission_dic ={'opc' : 0.85, # in ton of CO2\n",
+    "          'fly_ash' : 0.004,# values from Alsalaman + al\n",
+    "          'silica_fume' : 0.014, \n",
+    "          'GGBFS' : 0.052,\n",
+    "          'metakolain' : 0.33,\n",
+    "          'fine_aggregate' :0.0048,\n",
+    "          'coarse_aggregate':0.0048,\n",
+    "          'admixture': 1.88,\n",
+    "          'sodium_hydroxide': 1.915,\n",
+    "          'sodium_silicate': 1.222,\n",
+    "          'limestone': 0.00313,  #value from A Review of Carbon Footprint Reduction in Construction Industry, from Design to Operation  Sizirici + al\n",
+    "          'calcined_clay': 0.196, #best value from Limestone calcined clay cement as a low-carbon solution to meet expanding cement demand in emerging economies, Yudiesky + al.\n",
+    "          'pozzolan': 0.00313, #value not found (so same as limestone as there are both existing in natural state\n",
+    "}\n",
+    "\n",
+    "def co2_emission_fct(recipe_dic):\n",
+    "    ''' Function to compute the CO2 emission of a given recipe'''\n",
+    "    co2_emission = 100*emission_dic['opc']\n",
+    "    material_mass = 100\n",
+    "    for i in ['limestone', 'silica_fume', 'GGBFS', 'fly_ash', 'calcined_clay']:\n",
+    "        switch={'limestone': recipe_dic[-5],\n",
+    "                'silica_fume':recipe_dic[-4],\n",
+    "                'GGBFS':recipe_dic[-3],\n",
+    "                'fly_ash':recipe_dic[-2],\n",
+    "                'calcined_clay': recipe_dic[-1],\n",
+    "                }\n",
+    "        mass = switch.get(i)\n",
+    "        print(mass)\n",
+    "        co2_emission += emission_dic[i]* mass\n",
+    "        material_mass += mass\n",
+    "    return co2_emission/material_mass"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "id": "b201c72b-a7c5-4d17-aabf-d6ff8bf605f8",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "4.469088474288583"
+      ]
+     },
+     "execution_count": 31,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "initial_points.loc[0][-5]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "cb1bf17d-a11f-45b1-9d64-9a7b9b68985f",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7027d130-aa09-4e2f-9db3-57b1d55f7dc8",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "id": "766dc930-c0f1-40e6-b650-c5d58b2d881e",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-01-04T14:07:41.654212Z",
+     "iopub.status.busy": "2024-01-04T14:07:41.653886Z",
+     "iopub.status.idle": "2024-01-04T14:08:03.179336Z",
+     "shell.execute_reply": "2024-01-04T14:08:03.176505Z",
+     "shell.execute_reply.started": "2024-01-04T14:07:41.654192Z"
+    },
+    "scrolled": true,
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Initialization of the constraints\n",
+      "Begining of the 0th iteration\n",
+      "Result for the 0th iteration: [ 77.539074    10.30320978   4.06398615   7.05064066   1.\n",
+      "  25.         385.           1.02538369   1.04308942   3.23729004\n",
+      "   4.28749096   5.95963761   4.4684265   10.30256178] with CO2 emissions of 0.6815871290276414\n",
+      "Begining of the 1th iteration\n",
+      "Result for the 1th iteration: [ 79.743859     3.70224478   4.04206606   8.65918788   1.\n",
+      "  25.         385.           0.75041192   3.85264227   3.39655298\n",
+      "   4.72830576   6.80003877   2.38191106  11.38594559] with CO2 emissions of 0.6812473869342197\n",
+      "Begining of the 2th iteration\n",
+      "Result for the 2th iteration: [ 79.98714076   7.77132356   4.05004268   7.00826172   1.\n",
+      "  25.         385.           0.38909934   1.1832313    5.04176514\n",
+      "   3.96736603   4.17895324   4.04050764  11.51962418] with CO2 emissions of 0.6801075801667452\n",
+      "Begining of the 3th iteration\n",
+      "Result for the 3th iteration: [ 61.67222664   9.87229954  10.03369252  14.75558253   1.\n",
+      "  25.         385.           0.84541133   3.66619877   2.91846541\n",
+      "   3.33832584   4.5483256    2.79241112   7.31785224] with CO2 emissions of 0.7173434249719197\n",
+      "Begining of the 4th iteration\n",
+      "Result for the 4th iteration: [ 51.08898023  20.28046943   9.67956358  14.76861374   1.\n",
+      "  25.         385.           0.77017288   4.18237302   1.04078904\n",
+      "   1.54710121   2.02640448   1.05222352   3.02956958] with CO2 emissions of 0.7886971496366846\n",
+      "Begining of the 5th iteration\n",
+      "Result for the 5th iteration: [7.99653656e+01 1.92124503e-01 7.69743245e+00 7.21701280e+00\n",
+      " 1.00000000e+00 2.50000000e+01 3.85000000e+02 5.95765758e-01\n",
+      " 4.92806465e+00 6.12349559e+00 7.27136718e+00 6.42322760e+00\n",
+      " 6.21037633e+00 9.05731855e+00] with CO2 emissions of 0.6459232501636037\n",
+      "Begining of the 6th iteration\n",
+      "Result for the 6th iteration: [ 78.73872085   9.11291416   4.06345371   7.05769652   1.\n",
+      "  25.         385.           0.46391258   1.02721476   2.71551548\n",
+      "   5.30963496   5.89643449   3.79787546  10.59480997] with CO2 emissions of 0.6817731422266412\n",
+      "Begining of the 7th iteration\n",
+      "Result for the 7th iteration: [ 73.27559753   8.63267789   6.21300397   7.11677571   1.\n",
+      "  25.         385.           0.89139834   4.76194491   2.44178031\n",
+      "   4.09808708   5.42721738   4.73937113  11.56802126] with CO2 emissions of 0.6831719208281062\n",
+      "Begining of the 8th iteration\n",
+      "Result for the 8th iteration: [ 79.28832093   8.59278248   4.03265417   7.01835033   1.\n",
+      "  25.         385.           0.42799961   1.06789209   3.09697618\n",
+      "   3.88106115   8.08294184   5.10962828   9.54308193] with CO2 emissions of 0.6736006381152548\n",
+      "Begining of the 9th iteration\n",
+      "Result for the 9th iteration: [ 79.87065397   1.0890426    6.63256955  11.12572515   1.\n",
+      "  25.         385.           0.935927     1.28200873   3.55962402\n",
+      "   4.99525071   5.45701831   3.94972038  10.19555909] with CO2 emissions of 0.6818109890951216\n",
+      "Begining of the 10th iteration\n",
+      "Result for the 10th iteration: [ 66.70902836  20.91068648   4.08759265   7.17697174   1.\n",
+      "  25.         385.           0.76088617   1.11572077   2.74358727\n",
+      "   4.02450036   4.98763616   3.56663845   8.66130769] with CO2 emissions of 0.7019970486815786\n",
+      "Begining of the 11th iteration\n",
+      "Result for the 11th iteration: [ 79.8526368    3.93195702   6.00437057   7.0176011    1.\n",
+      "  25.         385.           0.57643771   3.1934345    5.35744621\n",
+      "   6.36792428   5.29286538   4.62052747  10.10034496] with CO2 emissions of 0.6632753143444255\n",
+      "Begining of the 12th iteration\n",
+      "Result for the 12th iteration: [ 76.90140956  10.89140251   4.07022865   7.04057927   1.\n",
+      "  25.         385.           1.03445765   1.09638001   4.30794911\n",
+      "   5.24151773   3.93752712   1.60888566  11.77623382] with CO2 emissions of 0.6905078786990362\n",
+      "Begining of the 13th iteration\n",
+      "Result for the 13th iteration: [ 73.21713021  13.19019239   5.07061181   7.3064934    1.\n",
+      "  25.         385.           0.75815778   1.2155722    1.13339308\n",
+      "   1.33487898   1.69647003   1.28768419   2.83371291] with CO2 emissions of 0.7911539868045804\n",
+      "Begining of the 14th iteration\n",
+      "Result for the 14th iteration: [ 59.57022219  16.68130387   8.75699308  12.42981592   1.\n",
+      "  25.         385.           1.1941567    2.56166495   4.16544528\n",
+      "   2.74193188   6.66996472   3.55862102   7.89184511] with CO2 emissions of 0.6955196653162722\n",
+      "Begining of the 15th iteration\n",
+      "Result for the 15th iteration: [ 79.49580182   3.53556016   4.72211915   7.34039177   1.\n",
+      "  25.         385.           0.79958906   4.90612711   3.61095995\n",
+      "   4.72764367   7.42834779   2.83743657  11.33274999] with CO2 emissions of 0.6749135275341656\n",
+      "Begining of the 16th iteration\n",
+      "Result for the 16th iteration: [ 59.2272221   17.38972239  10.52585816  11.58518181   1.\n",
+      "  25.         385.           1.10199439   1.27201554   1.95107384\n",
+      "   2.29414516   3.27508094   2.20444295   5.83588872] with CO2 emissions of 0.7473235466501653\n",
+      "Begining of the 17th iteration\n",
+      "Result for the 17th iteration: [ 79.67476875   0.86705254   7.3720459    7.12761469   1.\n",
+      "  25.         385.           0.47765131   4.95851811   1.86572566\n",
+      "   5.82899353   6.36112127   3.72421943  11.93993936] with CO2 emissions of 0.6766369830053091\n",
+      "Begining of the 18th iteration\n",
+      "Result for the 18th iteration: [ 79.99238794   7.92624245   4.03292482   7.01289143   1.\n",
+      "  25.         385.           1.35277346   1.03555336   2.73134268\n",
+      "   4.80135436   6.33737156   3.03045498  11.00500255] with CO2 emissions of 0.6846804540142867\n",
+      "Begining of the 19th iteration\n",
+      "Result for the 19th iteration: [ 62.44251081  15.2471501    6.48165938  11.95782756   1.\n",
+      "  25.         385.           0.72689017   3.87085214   3.54235702\n",
+      "   4.29794847   4.86831121   3.32287449   9.16186005] with CO2 emissions of 0.695990851348002\n",
+      "Begining of the 20th iteration\n",
+      "Result for the 20th iteration: [ 62.08576609  21.79744243   4.17391755   7.68438874   1.\n",
+      "  25.         385.           0.73208935   4.25848519   2.08973913\n",
+      "   4.36095127   5.68447301   2.12240439  10.3032281 ] with CO2 emissions of 0.7015940167157617\n",
+      "Begining of the 21th iteration\n",
+      "Result for the 21th iteration: [ 79.95336365   3.72257809   5.01441168   7.63239501   1.\n",
+      "  25.         385.           0.77959066   3.67725157   4.08200769\n",
+      "   5.46282521   5.9370031    5.36086104  10.38312371] with CO2 emissions of 0.6664428965729161\n",
+      "Begining of the 22th iteration\n",
+      "Result for the 22th iteration: [ 76.63662796   7.41242003   4.00778159   7.00987469   1.\n",
+      "  25.         385.           0.38615709   4.93329573   5.92481497\n",
+      "   7.01774968   5.27045647   4.63192028   9.91191189] with CO2 emissions of 0.6579857623168184\n",
+      "Begining of the 23th iteration\n",
+      "Result for the 23th iteration: [ 61.23263564   7.11187718  13.81275282  14.3762219    1.\n",
+      "  25.         385.           0.69808677   3.46651247   1.77354679\n",
+      "   2.11730045   2.96610635   1.73812049   5.02981101] with CO2 emissions of 0.7584802072329014\n",
+      "Begining of the 24th iteration\n",
+      "Result for the 24th iteration: [ 78.62901429   9.26892149   4.0295294    7.03773544   1.\n",
+      "  25.         385.           0.48850472   1.03479939   4.9996516\n",
+      "   4.32089096   6.36186902   2.69737711  10.42667194] with CO2 emissions of 0.6790138891352124\n",
+      "Begining of the 25th iteration\n",
+      "Result for the 25th iteration: [ 78.17544723   7.86105758   5.73299615   7.12569074   1.\n",
+      "  25.         385.           0.9350226    1.1048083    3.48361563\n",
+      "   3.8909592    6.21470356   3.51344745  10.19902053] with CO2 emissions of 0.6865703420250561\n",
+      "Begining of the 26th iteration\n",
+      "Result for the 26th iteration: [ 79.96551012   7.68929117   4.09550522   7.10492514   1.\n",
+      "  25.         385.           0.84990433   1.14476834   3.65690593\n",
+      "   4.32095651   6.11218093   3.75637515  10.72950194] with CO2 emissions of 0.6805922950699927\n",
+      "Begining of the 27th iteration\n",
+      "Result for the 27th iteration: [7.94893120e+01 3.52596033e-01 8.07846519e+00 7.09862281e+00\n",
+      " 1.00000000e+00 2.50000000e+01 3.85000000e+02 4.61847610e-01\n",
+      " 4.98100399e+00 3.01629112e+00 5.33144477e+00 6.90479651e+00\n",
+      " 3.64102137e+00 1.15472962e+01] with CO2 emissions of 0.6724961144884887\n",
+      "Begining of the 28th iteration\n",
+      "Result for the 28th iteration: [ 78.19669602   9.70809198   4.02570156   7.03671875   1.\n",
+      "  25.         385.           1.18200652   1.03279169   3.37024135\n",
+      "   3.22472018   5.42952222   3.79766322  11.47851204] with CO2 emissions of 0.6881583314958817\n",
+      "Begining of the 29th iteration\n",
+      "Result for the 29th iteration: [ 79.88468667   5.01665652   4.34832142   9.33662022   1.\n",
+      "  25.         385.           0.78527188   1.41371516   4.301505\n",
+      "   5.22444992   6.42454942   4.39492552   9.45293135] with CO2 emissions of 0.6725126266106173\n",
+      "Begining of the 30th iteration\n",
+      "Result for the 30th iteration: [ 59.65190222  23.96495868   7.69352447   7.51216196   1.\n",
+      "  25.         385.           0.6797853    1.17745268   0.8653768\n",
+      "   0.53331292   0.69082399   0.76633128   0.84500451] with CO2 emissions of 0.8217366056317357\n",
+      "Begining of the 31th iteration\n",
+      "Result for the 31th iteration: [ 79.95575493   3.32958248   4.06019465   7.8459205    1.\n",
+      "  25.         385.           0.74223587   4.80854743   5.88825168\n",
+      "   7.83049519   4.99025382   3.58692031  10.2966985 ] with CO2 emissions of 0.6593130996138552\n",
+      "Begining of the 32th iteration\n",
+      "Result for the 32th iteration: [ 58.82979994  21.14963554   5.1409048   11.17629295   1.\n",
+      "  25.         385.           0.55062205   3.70336678   2.18968284\n",
+      "   4.47891068   5.84729602   3.80841434   8.72372695] with CO2 emissions of 0.6965219797619452\n",
+      "Begining of the 33th iteration\n",
+      "Result for the 33th iteration: [ 79.04731577   1.04462361   8.10920631   7.07593006   1.\n",
+      "  25.         385.           0.564574     4.72292424   7.30449182\n",
+      "   5.43805055   4.82032384   3.90303017  11.00709555] with CO2 emissions of 0.6606830130013507\n",
+      "Begining of the 34th iteration\n",
+      "Result for the 34th iteration: [ 79.97369878   7.77449273   4.0626932    7.01893088   1.\n",
+      "  25.         385.           1.45099979   1.1701844    4.63452768\n",
+      "   5.73552308   4.63452212   4.85412433  10.32340964] with CO2 emissions of 0.6712028669149893\n",
+      "Begining of the 35th iteration\n",
+      "Result for the 35th iteration: [ 56.86425241  13.39796009  13.6014132   12.81948334   1.\n",
+      "  25.         385.           0.82250512   3.31689097   1.54367378\n",
+      "   1.73083689   2.62026441   1.77094402   3.69544827] with CO2 emissions of 0.7713344861192664\n",
+      "Begining of the 36th iteration\n",
+      "Result for the 36th iteration: [ 47.07372381  28.57715126  12.46535936  10.34085106   1.\n",
+      "  25.         385.           0.65092667   1.5429145    2.33341126\n",
+      "   2.97894492   3.91059191   2.67341759   6.72874532] with CO2 emissions of 0.729878240837239\n",
+      "Begining of the 37th iteration\n",
+      "Result for the 37th iteration: [ 79.97535287   4.33185363   4.03511666   7.1929139    1.\n",
+      "  25.         385.           0.61856608   4.46476294   5.03124788\n",
+      "   4.70815771   6.54911189   5.63286078  10.32554016] with CO2 emissions of 0.6614033370035263\n",
+      "Begining of the 38th iteration\n",
+      "Result for the 38th iteration: [ 79.97006215   6.84223764   4.08828435   7.04052559   1.\n",
+      "  25.         385.           1.5593966    2.05889027   2.30962475\n",
+      "   4.89845533   6.70069371   3.24723376  11.13649897] with CO2 emissions of 0.6829704141128526\n",
+      "Begining of the 39th iteration\n",
+      "Result for the 39th iteration: [ 67.48333206   3.01962395  10.09744378  14.60412562   1.\n",
+      "  25.         385.           0.82711767   4.79547459   3.86811257\n",
+      "   4.87660473   5.72767159   3.57969043   9.21561304] with CO2 emissions of 0.6851605139105212\n",
+      "Begining of the 40th iteration\n",
+      "Result for the 40th iteration: [ 65.94230665  21.12773247   4.20113538   7.40236524   1.\n",
+      "  25.         385.           1.20156365   1.32646026   2.84185199\n",
+      "   6.46556291   4.0647818    3.00737568   9.37377522] with CO2 emissions of 0.693103385635661\n",
+      "Begining of the 41th iteration\n",
+      "Result for the 41th iteration: [ 70.8106891    8.64931345   5.96958294  10.11660012   1.\n",
+      "  25.         385.           1.10468835   4.45381438   3.63117718\n",
+      "   5.63931926   6.56469913   3.25236765   9.52904601] with CO2 emissions of 0.6788577573549027\n",
+      "Begining of the 42th iteration\n",
+      "Result for the 42th iteration: [ 64.21491355  17.55346808   8.64127129   8.48725023   1.\n",
+      "  25.         385.           0.72727306   1.10309685   0.92615783\n",
+      "   1.16836553   1.56844922   0.77558854   2.0710428 ] with CO2 emissions of 0.8028369174475807\n",
+      "Begining of the 43th iteration\n",
+      "Result for the 43th iteration: [ 79.18554001   4.49768492   4.20371215   7.1555017    1.\n",
+      "  25.         385.           0.53323567   4.95756122   4.50619699\n",
+      "   5.40510831   5.45092015   3.97180589  11.4324835 ] with CO2 emissions of 0.670124747547894\n",
+      "Begining of the 44th iteration\n",
+      "Result for the 44th iteration: [ 79.88121524   7.5694351    4.05780196   7.02280916   1.\n",
+      "  25.         385.           0.56824186   1.46873854   3.8977334\n",
+      "   5.06587794   4.95290561   4.6036752   10.85163919] with CO2 emissions of 0.6762369239288601\n",
+      "Begining of the 45th iteration\n",
+      "Result for the 45th iteration: [ 73.54796718   3.65447917   9.8545099   10.85274229   1.\n",
+      "  25.         385.           0.72649336   2.09030146   3.17790538\n",
+      "   4.39231183   5.25759528   3.26788567   9.24899175] with CO2 emissions of 0.6954479535888032\n",
+      "Begining of the 46th iteration\n",
+      "Result for the 46th iteration: [ 74.54145495  13.36484932   4.03220316   7.02891288   1.\n",
+      "  25.         385.           0.64626052   1.03257969   3.42219241\n",
+      "   4.84608619   4.98091496   3.51264262  10.52904097] with CO2 emissions of 0.6867366208588592\n",
+      "Begining of the 47th iteration\n",
+      "Result for the 47th iteration: [ 79.96078921   7.00048472   4.43348347   7.19843088   1.\n",
+      "  25.         385.           0.54331524   1.40681173   3.37545972\n",
+      "   5.59161565   6.66317809   4.15312186   9.95424654] with CO2 emissions of 0.6736903037942309\n",
+      "Begining of the 48th iteration\n",
+      "Result for the 48th iteration: [ 51.90421541  30.83088669   6.81927459   8.83889787   1.\n",
+      "  25.         385.           0.8801075    1.60672543   1.32145826\n",
+      "   2.32989668   2.43093366   1.6972852    4.43559106] with CO2 emissions of 0.7667353014774686\n",
+      "Begining of the 49th iteration\n",
+      "Result for the 49th iteration: [ 79.97707449   4.25021799   4.05926959   7.0165272    1.\n",
+      "  25.         385.           0.86679216   4.69691073   6.73698031\n",
+      "   5.81048275   8.71313232   3.79214557   8.88353518] with CO2 emissions of 0.6518910364771018\n",
+      "Begining of the 50th iteration\n",
+      "Result for the 50th iteration: [ 74.01816034  10.62508954   4.14405286   7.12231196   1.\n",
+      "  25.         385.           0.99984755   4.0903853    4.1456186\n",
+      "   3.53639046   4.63341628   3.88575631  12.00688986] with CO2 emissions of 0.6838283682682735\n",
+      "Begining of the 51th iteration\n",
+      "Result for the 51th iteration: [7.63522590e+01 1.52451817e-01 7.51801992e+00 1.10823770e+01\n",
+      " 1.00000000e+00 2.50000000e+01 3.85000000e+02 1.25550037e+00\n",
+      " 4.89489231e+00 5.82522665e+00 4.93840880e+00 5.78168548e+00\n",
+      " 3.18785345e+00 1.05326146e+01] with CO2 emissions of 0.671436168345444\n",
+      "Begining of the 52th iteration\n",
+      "Result for the 52th iteration: [ 48.77174805  21.49236227  12.00632527  13.88293742   1.\n",
+      "  25.         385.           0.93114261   3.84662698   3.39793427\n",
+      "   3.79088952   4.59641032   3.04909473   7.68075509] with CO2 emissions of 0.7086502569293762\n",
+      "Begining of the 53th iteration\n",
+      "Result for the 53th iteration: [ 79.94392335   1.90914015   6.07009408   7.43844962   1.\n",
+      "  25.         385.           0.97777666   4.63839281   4.48347212\n",
+      "   6.03439441   6.74028726   3.79208942  10.50880112] with CO2 emissions of 0.6652822962668674\n",
+      "Begining of the 54th iteration\n",
+      "Result for the 54th iteration: [ 79.98969238   7.83020605   4.10181169   7.02749895   1.\n",
+      "  25.         385.           0.3967764    1.05079092   3.56076391\n",
+      "   5.50949747   5.21639561   4.67355465  10.48081812] with CO2 emissions of 0.67546175633988\n",
+      "Begining of the 55th iteration\n",
+      "Result for the 55th iteration: [ 61.01533552  13.92425868  10.22284112  10.60089141   1.\n",
+      "  25.         385.           0.94782277   4.23667327   2.39459755\n",
+      "   2.56150553   3.84463469   2.68352607   6.61052536] with CO2 emissions of 0.7328830918727851\n",
+      "Begining of the 56th iteration\n",
+      "Result for the 56th iteration: [ 79.97005329   7.01622639   4.60372424   7.0463313    1.\n",
+      "  25.         385.           0.63112027   1.36366478   6.78085402\n",
+      "   7.74312841   5.37084116   4.04201829   8.70702095] with CO2 emissions of 0.6568841854302663\n",
+      "Begining of the 57th iteration\n",
+      "Result for the 57th iteration: [ 74.16183565   2.30867296   6.65357482  14.63087052   1.\n",
+      "  25.         385.           0.8898085    2.24504605   0.66580553\n",
+      "   0.82288872   1.02100742   0.63231734   1.5117895 ] with CO2 emissions of 0.8156945077054049\n",
+      "Begining of the 58th iteration\n",
+      "Result for the 58th iteration: [ 79.99122207   7.98122924   4.01102622   7.00698227   1.\n",
+      "  25.         385.           0.45700341   1.0095402    3.00287453\n",
+      "   5.27489603   6.44146226   4.52745744  10.06566866] with CO2 emissions of 0.6759538314643652\n",
+      "Begining of the 59th iteration\n",
+      "Result for the 59th iteration: [ 76.57341596   7.42382676   4.38193911   7.16572983   1.\n",
+      "  25.         385.           0.52397699   4.45508835   2.74138643\n",
+      "   5.30160521   7.01633014   2.92624316  11.08046143] with CO2 emissions of 0.6789635511547949\n",
+      "Begining of the 60th iteration\n",
+      "Result for the 60th iteration: [ 79.28523632   8.63994345   4.02251375   7.02831968   1.\n",
+      "  25.         385.           0.76736881   1.02398679   2.26694323\n",
+      "   4.74292673   8.01038787   3.5228479   10.02759147] with CO2 emissions of 0.680322483280049\n",
+      "Begining of the 61th iteration\n",
+      "Result for the 61th iteration: [ 76.62576816   7.38462447   7.59759316   7.23242048   1.\n",
+      "  25.         385.           0.68742647   1.15959373   3.0691343\n",
+      "   3.47204435   5.92932341   4.28653897  10.62016154] with CO2 emissions of 0.6866632009409444\n",
+      "Begining of the 62th iteration\n",
+      "Result for the 62th iteration: [ 68.21626878  17.17943018   4.1095323    9.40717248   1.\n",
+      "  25.         385.           0.87414047   1.08759627   3.23254774\n",
+      "   3.86275561   5.25856035   3.41648198   9.38375235] with CO2 emissions of 0.6966653457929749\n",
+      "Begining of the 63th iteration\n",
+      "Result for the 63th iteration: [ 79.69445349   3.36716938   4.87028385   7.11569176   1.\n",
+      "  25.         385.           0.60636702   4.95240152   4.7762968\n",
+      "   7.15806441   5.30345727   5.70510598  10.15628865] with CO2 emissions of 0.6566860422834638\n",
+      "Begining of the 64th iteration\n",
+      "Result for the 64th iteration: [ 72.02723738  11.6907039    4.27248159   7.70783338   1.\n",
+      "  25.         385.           0.97074062   4.30174374   4.47943907\n",
+      "   5.11521475   6.84904251   4.88915436   9.33091493] with CO2 emissions of 0.6680520754641437\n",
+      "Begining of the 65th iteration\n",
+      "Result for the 65th iteration: [7.91720671e+01 1.98824229e-01 9.19962419e+00 7.62914894e+00\n",
+      " 1.00000000e+00 2.50000000e+01 3.85000000e+02 9.06760337e-01\n",
+      " 3.80033551e+00 4.72840832e+00 6.03280717e+00 6.36131577e+00\n",
+      " 3.45277840e+00 1.05514846e+01] with CO2 emissions of 0.6673841925983478\n",
+      "Begining of the 66th iteration\n",
+      "Result for the 66th iteration: [ 61.42645721  25.17123601   4.14646324   8.08834299   1.\n",
+      "  25.         385.           0.74175208   1.16750054   1.15381217\n",
+      "   1.73795962   2.15429847   1.55632118   4.23149904] with CO2 emissions of 0.7757154884383712\n",
+      "Begining of the 67th iteration\n",
+      "Result for the 67th iteration: [ 79.7848267    4.50348495   4.14263325   7.10731548   1.\n",
+      "  25.         385.           1.51943154   4.46173962   4.54128801\n",
+      "   5.8709616    6.23473575   5.57884871  10.15714873] with CO2 emissions of 0.6604604960789063\n",
+      "Begining of the 68th iteration\n",
+      "Result for the 68th iteration: [ 79.51008568   8.2589337    4.10196774   7.01234348   1.\n",
+      "  25.         385.           0.69009348   1.11666941   4.06508882\n",
+      "   3.75740458   7.02570326   4.7707976   10.01623611] with CO2 emissions of 0.6742991791772824\n",
+      "Begining of the 69th iteration\n"
+     ]
+    },
+    {
+     "ename": "KeyboardInterrupt",
+     "evalue": "",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[24], line 7\u001b[0m\n\u001b[1;32m      4\u001b[0m initial_points \u001b[38;5;241m=\u001b[39m pd\u001b[38;5;241m.\u001b[39mread_csv(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mdata_repo/recipe_data_2^7.csv\u001b[39m\u001b[38;5;124m'\u001b[39m, index_col\u001b[38;5;241m=\u001b[39m[\u001b[38;5;241m0\u001b[39m])\n\u001b[1;32m      6\u001b[0m \u001b[38;5;66;03m#do the optimization task\u001b[39;00m\n\u001b[0;32m----> 7\u001b[0m min_list_gp \u001b[38;5;241m=\u001b[39m \u001b[43mopt_gp\u001b[49m\u001b[43m(\u001b[49m\u001b[43mgpc\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mgpg\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43minitial_points\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mto_numpy\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m~/digital_twin/ml/opt.py:104\u001b[0m, in \u001b[0;36mopt_gp\u001b[0;34m(b_b_function, c_function, x, initial_point)\u001b[0m\n\u001b[1;32m    102\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mBegining of the \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mi\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124mth iteration\u001b[39m\u001b[38;5;124m'\u001b[39m) \n\u001b[1;32m    103\u001b[0m x0 \u001b[38;5;241m=\u001b[39m x[i,:]\n\u001b[0;32m--> 104\u001b[0m res \u001b[38;5;241m=\u001b[39m \u001b[43mminimize\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfun\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mx0\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmethod\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mtrust-constr\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mjac\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43m2-point\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mhess\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mBFGS\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    105\u001b[0m \u001b[43m       \u001b[49m\u001b[43mconstraints\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m[\u001b[49m\u001b[43mlinear_constraint\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mnonlinear_constraint\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    106\u001b[0m \u001b[43m       \u001b[49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m{\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mverbose\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m}\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mbounds\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mbounds\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtol\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;241;43m1e-5\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m    107\u001b[0m min_dic[\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mIteration \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mi\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m=\u001b[39m {\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mrecipe\u001b[39m\u001b[38;5;124m'\u001b[39m: res\u001b[38;5;241m.\u001b[39mx, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mco2_value\u001b[39m\u001b[38;5;124m'\u001b[39m: res\u001b[38;5;241m.\u001b[39mfun}\n\u001b[1;32m    108\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mResult for the \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mi\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124mth iteration: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mres\u001b[38;5;241m.\u001b[39mx\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m with CO2 emissions of \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mres\u001b[38;5;241m.\u001b[39mfun\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m )\n",
+      "File \u001b[0;32m/opt/tljh/user/envs/default/lib/python3.10/site-packages/scipy/optimize/_minimize.py:634\u001b[0m, in \u001b[0;36mminimize\u001b[0;34m(fun, x0, args, method, jac, hess, hessp, bounds, constraints, tol, callback, options)\u001b[0m\n\u001b[1;32m    631\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m _minimize_slsqp(fun, x0, args, jac, bounds,\n\u001b[1;32m    632\u001b[0m                            constraints, callback\u001b[38;5;241m=\u001b[39mcallback, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39moptions)\n\u001b[1;32m    633\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m meth \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtrust-constr\u001b[39m\u001b[38;5;124m'\u001b[39m:\n\u001b[0;32m--> 634\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43m_minimize_trustregion_constr\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfun\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mx0\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mjac\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mhess\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mhessp\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    635\u001b[0m \u001b[43m                                        \u001b[49m\u001b[43mbounds\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mconstraints\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    636\u001b[0m \u001b[43m                                        \u001b[49m\u001b[43mcallback\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcallback\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    637\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m meth \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mdogleg\u001b[39m\u001b[38;5;124m'\u001b[39m:\n\u001b[1;32m    638\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m _minimize_dogleg(fun, x0, args, jac, hess,\n\u001b[1;32m    639\u001b[0m                             callback\u001b[38;5;241m=\u001b[39mcallback, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39moptions)\n",
+      "File \u001b[0;32m/opt/tljh/user/envs/default/lib/python3.10/site-packages/scipy/optimize/_trustregion_constr/minimize_trustregion_constr.py:509\u001b[0m, in \u001b[0;36m_minimize_trustregion_constr\u001b[0;34m(fun, x0, args, grad, hess, hessp, bounds, constraints, xtol, gtol, barrier_tol, sparse_jacobian, callback, maxiter, verbose, finite_diff_rel_step, initial_constr_penalty, initial_tr_radius, initial_barrier_parameter, initial_barrier_tolerance, factorization_method, disp)\u001b[0m\n\u001b[1;32m    500\u001b[0m     _, result \u001b[38;5;241m=\u001b[39m equality_constrained_sqp(\n\u001b[1;32m    501\u001b[0m         fun_and_constr, grad_and_jac, lagrangian_hess,\n\u001b[1;32m    502\u001b[0m         x0, objective\u001b[38;5;241m.\u001b[39mf, objective\u001b[38;5;241m.\u001b[39mg,\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    505\u001b[0m         initial_constr_penalty, initial_tr_radius,\n\u001b[1;32m    506\u001b[0m         factorization_method)\n\u001b[1;32m    508\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m method \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtr_interior_point\u001b[39m\u001b[38;5;124m'\u001b[39m:\n\u001b[0;32m--> 509\u001b[0m     _, result \u001b[38;5;241m=\u001b[39m \u001b[43mtr_interior_point\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    510\u001b[0m \u001b[43m        \u001b[49m\u001b[43mobjective\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfun\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mobjective\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgrad\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlagrangian_hess\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    511\u001b[0m \u001b[43m        \u001b[49m\u001b[43mn_vars\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcanonical\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mn_ineq\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcanonical\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mn_eq\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    512\u001b[0m \u001b[43m        \u001b[49m\u001b[43mcanonical\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfun\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcanonical\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mjac\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    513\u001b[0m \u001b[43m        \u001b[49m\u001b[43mx0\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mobjective\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mf\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mobjective\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mg\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    514\u001b[0m \u001b[43m        \u001b[49m\u001b[43mc_ineq0\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mJ_ineq0\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mc_eq0\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mJ_eq0\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    515\u001b[0m \u001b[43m        \u001b[49m\u001b[43mstop_criteria\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    516\u001b[0m \u001b[43m        \u001b[49m\u001b[43mcanonical\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mkeep_feasible\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    517\u001b[0m \u001b[43m        \u001b[49m\u001b[43mxtol\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstate\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43minitial_barrier_parameter\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    518\u001b[0m \u001b[43m        \u001b[49m\u001b[43minitial_barrier_tolerance\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    519\u001b[0m \u001b[43m        \u001b[49m\u001b[43minitial_constr_penalty\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43minitial_tr_radius\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    520\u001b[0m \u001b[43m        \u001b[49m\u001b[43mfactorization_method\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    522\u001b[0m \u001b[38;5;66;03m# Status 3 occurs when the callback function requests termination,\u001b[39;00m\n\u001b[1;32m    523\u001b[0m \u001b[38;5;66;03m# this is assumed to not be a success.\u001b[39;00m\n\u001b[1;32m    524\u001b[0m result\u001b[38;5;241m.\u001b[39msuccess \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m \u001b[38;5;28;01mif\u001b[39;00m result\u001b[38;5;241m.\u001b[39mstatus \u001b[38;5;129;01min\u001b[39;00m (\u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m2\u001b[39m) \u001b[38;5;28;01melse\u001b[39;00m \u001b[38;5;28;01mFalse\u001b[39;00m\n",
+      "File \u001b[0;32m/opt/tljh/user/envs/default/lib/python3.10/site-packages/scipy/optimize/_trustregion_constr/tr_interior_point.py:321\u001b[0m, in \u001b[0;36mtr_interior_point\u001b[0;34m(fun, grad, lagr_hess, n_vars, n_ineq, n_eq, constr, jac, x0, fun0, grad0, constr_ineq0, jac_ineq0, constr_eq0, jac_eq0, stop_criteria, enforce_feasibility, xtol, state, initial_barrier_parameter, initial_tolerance, initial_penalty, initial_trust_radius, factorization_method)\u001b[0m\n\u001b[1;32m    318\u001b[0m \u001b[38;5;66;03m# Solves a sequence of barrier problems\u001b[39;00m\n\u001b[1;32m    319\u001b[0m \u001b[38;5;28;01mwhile\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n\u001b[1;32m    320\u001b[0m     \u001b[38;5;66;03m# Solve SQP subproblem\u001b[39;00m\n\u001b[0;32m--> 321\u001b[0m     z, state \u001b[38;5;241m=\u001b[39m \u001b[43mequality_constrained_sqp\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    322\u001b[0m \u001b[43m        \u001b[49m\u001b[43msubprob\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfunction_and_constraints\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    323\u001b[0m \u001b[43m        \u001b[49m\u001b[43msubprob\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgradient_and_jacobian\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    324\u001b[0m \u001b[43m        \u001b[49m\u001b[43msubprob\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mlagrangian_hessian\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    325\u001b[0m \u001b[43m        \u001b[49m\u001b[43mz\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfun0_subprob\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mgrad0_subprob\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    326\u001b[0m \u001b[43m        \u001b[49m\u001b[43mconstr0_subprob\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mjac0_subprob\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msubprob\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mstop_criteria\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    327\u001b[0m \u001b[43m        \u001b[49m\u001b[43mstate\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43minitial_penalty\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtrust_radius\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    328\u001b[0m \u001b[43m        \u001b[49m\u001b[43mfactorization_method\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtrust_lb\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtrust_ub\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msubprob\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mscaling\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    329\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m subprob\u001b[38;5;241m.\u001b[39mterminate:\n\u001b[1;32m    330\u001b[0m         \u001b[38;5;28;01mbreak\u001b[39;00m\n",
+      "File \u001b[0;32m/opt/tljh/user/envs/default/lib/python3.10/site-packages/scipy/optimize/_trustregion_constr/equality_constrained_sqp.py:147\u001b[0m, in \u001b[0;36mequality_constrained_sqp\u001b[0;34m(fun_and_constr, grad_and_jac, lagr_hess, x0, fun0, grad0, constr0, jac0, stop_criteria, state, initial_penalty, initial_trust_radius, factorization_method, trust_lb, trust_ub, scaling)\u001b[0m\n\u001b[1;32m    145\u001b[0m \u001b[38;5;66;03m# Evaluate function and constraints at trial point\u001b[39;00m\n\u001b[1;32m    146\u001b[0m x_next \u001b[38;5;241m=\u001b[39m x \u001b[38;5;241m+\u001b[39m S\u001b[38;5;241m.\u001b[39mdot(d)\n\u001b[0;32m--> 147\u001b[0m f_next, b_next \u001b[38;5;241m=\u001b[39m \u001b[43mfun_and_constr\u001b[49m\u001b[43m(\u001b[49m\u001b[43mx_next\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    148\u001b[0m \u001b[38;5;66;03m# Compute merit function at trial point\u001b[39;00m\n\u001b[1;32m    149\u001b[0m merit_function_next \u001b[38;5;241m=\u001b[39m f_next \u001b[38;5;241m+\u001b[39m penalty\u001b[38;5;241m*\u001b[39mnorm(b_next)\n",
+      "File \u001b[0;32m/opt/tljh/user/envs/default/lib/python3.10/site-packages/scipy/optimize/_trustregion_constr/tr_interior_point.py:83\u001b[0m, in \u001b[0;36mBarrierSubproblem.function_and_constraints\u001b[0;34m(self, z)\u001b[0m\n\u001b[1;32m     81\u001b[0m \u001b[38;5;66;03m# Compute function and constraints\u001b[39;00m\n\u001b[1;32m     82\u001b[0m f \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfun(x)\n\u001b[0;32m---> 83\u001b[0m c_eq, c_ineq \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mconstr\u001b[49m\u001b[43m(\u001b[49m\u001b[43mx\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     84\u001b[0m \u001b[38;5;66;03m# Return objective function and constraints\u001b[39;00m\n\u001b[1;32m     85\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m (\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_compute_function(f, c_ineq, s),\n\u001b[1;32m     86\u001b[0m         \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_compute_constr(c_ineq, c_eq, s))\n",
+      "File \u001b[0;32m/opt/tljh/user/envs/default/lib/python3.10/site-packages/scipy/optimize/_trustregion_constr/canonical_constraint.py:104\u001b[0m, in \u001b[0;36mCanonicalConstraint.concatenate.<locals>.fun\u001b[0;34m(x)\u001b[0m\n\u001b[1;32m    101\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mfun\u001b[39m(x):\n\u001b[1;32m    102\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m canonical_constraints:\n\u001b[1;32m    103\u001b[0m         eq_all, ineq_all \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mzip\u001b[39m(\n\u001b[0;32m--> 104\u001b[0m                 \u001b[38;5;241m*\u001b[39m[c\u001b[38;5;241m.\u001b[39mfun(x) \u001b[38;5;28;01mfor\u001b[39;00m c \u001b[38;5;129;01min\u001b[39;00m canonical_constraints])\n\u001b[1;32m    105\u001b[0m     \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m    106\u001b[0m         eq_all, ineq_all \u001b[38;5;241m=\u001b[39m [], []\n",
+      "File \u001b[0;32m/opt/tljh/user/envs/default/lib/python3.10/site-packages/scipy/optimize/_trustregion_constr/canonical_constraint.py:104\u001b[0m, in \u001b[0;36m<listcomp>\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m    101\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mfun\u001b[39m(x):\n\u001b[1;32m    102\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m canonical_constraints:\n\u001b[1;32m    103\u001b[0m         eq_all, ineq_all \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mzip\u001b[39m(\n\u001b[0;32m--> 104\u001b[0m                 \u001b[38;5;241m*\u001b[39m[\u001b[43mc\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfun\u001b[49m\u001b[43m(\u001b[49m\u001b[43mx\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mfor\u001b[39;00m c \u001b[38;5;129;01min\u001b[39;00m canonical_constraints])\n\u001b[1;32m    105\u001b[0m     \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m    106\u001b[0m         eq_all, ineq_all \u001b[38;5;241m=\u001b[39m [], []\n",
+      "File \u001b[0;32m/opt/tljh/user/envs/default/lib/python3.10/site-packages/scipy/optimize/_trustregion_constr/canonical_constraint.py:238\u001b[0m, in \u001b[0;36mCanonicalConstraint._greater_to_canonical.<locals>.fun\u001b[0;34m(x)\u001b[0m\n\u001b[1;32m    237\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mfun\u001b[39m(x):\n\u001b[0;32m--> 238\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m empty_fun, lb \u001b[38;5;241m-\u001b[39m \u001b[43mcfun\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfun\u001b[49m\u001b[43m(\u001b[49m\u001b[43mx\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m/opt/tljh/user/envs/default/lib/python3.10/site-packages/scipy/optimize/_differentiable_functions.py:516\u001b[0m, in \u001b[0;36mVectorFunction.fun\u001b[0;34m(self, x)\u001b[0m\n\u001b[1;32m    515\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mfun\u001b[39m(\u001b[38;5;28mself\u001b[39m, x):\n\u001b[0;32m--> 516\u001b[0m     \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_update_x\u001b[49m\u001b[43m(\u001b[49m\u001b[43mx\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    517\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_update_fun()\n\u001b[1;32m    518\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mf\n",
+      "File \u001b[0;32m/opt/tljh/user/envs/default/lib/python3.10/site-packages/scipy/optimize/_differentiable_functions.py:498\u001b[0m, in \u001b[0;36mVectorFunction._update_x\u001b[0;34m(self, x)\u001b[0m\n\u001b[1;32m    496\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_update_x\u001b[39m(\u001b[38;5;28mself\u001b[39m, x):\n\u001b[1;32m    497\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m np\u001b[38;5;241m.\u001b[39marray_equal(x, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mx):\n\u001b[0;32m--> 498\u001b[0m         \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_update_x_impl\u001b[49m\u001b[43m(\u001b[49m\u001b[43mx\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m/opt/tljh/user/envs/default/lib/python3.10/site-packages/scipy/optimize/_differentiable_functions.py:481\u001b[0m, in \u001b[0;36mVectorFunction.__init__.<locals>.update_x\u001b[0;34m(x)\u001b[0m\n\u001b[1;32m    479\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mJ_updated \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mFalse\u001b[39;00m\n\u001b[1;32m    480\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mH_updated \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mFalse\u001b[39;00m\n\u001b[0;32m--> 481\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_update_hess\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m/opt/tljh/user/envs/default/lib/python3.10/site-packages/scipy/optimize/_differentiable_functions.py:512\u001b[0m, in \u001b[0;36mVectorFunction._update_hess\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    510\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_update_hess\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[1;32m    511\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mH_updated:\n\u001b[0;32m--> 512\u001b[0m         \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_update_hess_impl\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    513\u001b[0m         \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mH_updated \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m\n",
+      "File \u001b[0;32m/opt/tljh/user/envs/default/lib/python3.10/site-packages/scipy/optimize/_differentiable_functions.py:462\u001b[0m, in \u001b[0;36mVectorFunction.__init__.<locals>.update_hess\u001b[0;34m()\u001b[0m\n\u001b[1;32m    461\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mupdate_hess\u001b[39m():\n\u001b[0;32m--> 462\u001b[0m     \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_update_jac\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    463\u001b[0m     \u001b[38;5;66;03m# When v is updated before x was updated, then x_prev and\u001b[39;00m\n\u001b[1;32m    464\u001b[0m     \u001b[38;5;66;03m# J_prev are None and we need this check.\u001b[39;00m\n\u001b[1;32m    465\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mx_prev \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mJ_prev \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n",
+      "File \u001b[0;32m/opt/tljh/user/envs/default/lib/python3.10/site-packages/scipy/optimize/_differentiable_functions.py:507\u001b[0m, in \u001b[0;36mVectorFunction._update_jac\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    505\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_update_jac\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[1;32m    506\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mJ_updated:\n\u001b[0;32m--> 507\u001b[0m         \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_update_jac_impl\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    508\u001b[0m         \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mJ_updated \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m\n",
+      "File \u001b[0;32m/opt/tljh/user/envs/default/lib/python3.10/site-packages/scipy/optimize/_differentiable_functions.py:410\u001b[0m, in \u001b[0;36mVectorFunction.__init__.<locals>.update_jac\u001b[0;34m()\u001b[0m\n\u001b[1;32m    407\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mupdate_jac\u001b[39m():\n\u001b[1;32m    408\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_update_fun()\n\u001b[1;32m    409\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mJ \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39matleast_2d(\n\u001b[0;32m--> 410\u001b[0m         \u001b[43mapprox_derivative\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfun_wrapped\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mx\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mf0\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mf\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    411\u001b[0m \u001b[43m                          \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mfinite_diff_options\u001b[49m\u001b[43m)\u001b[49m)\n",
+      "File \u001b[0;32m/opt/tljh/user/envs/default/lib/python3.10/site-packages/scipy/optimize/_numdiff.py:257\u001b[0m, in \u001b[0;36mapprox_derivative\u001b[0;34m(fun, x0, method, rel_step, abs_step, f0, bounds, sparsity, as_linear_operator, args, kwargs)\u001b[0m\n\u001b[1;32m    252\u001b[0m     groups[order] \u001b[38;5;241m=\u001b[39m groups\u001b[38;5;241m.\u001b[39mcopy()\n\u001b[1;32m    254\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m groups\n\u001b[0;32m--> 257\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mapprox_derivative\u001b[39m(fun, x0, method\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m3-point\u001b[39m\u001b[38;5;124m'\u001b[39m, rel_step\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, abs_step\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[1;32m    258\u001b[0m                       f0\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, bounds\u001b[38;5;241m=\u001b[39m(\u001b[38;5;241m-\u001b[39mnp\u001b[38;5;241m.\u001b[39minf, np\u001b[38;5;241m.\u001b[39minf), sparsity\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[1;32m    259\u001b[0m                       as_linear_operator\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m, args\u001b[38;5;241m=\u001b[39m(), kwargs\u001b[38;5;241m=\u001b[39m{}):\n\u001b[1;32m    260\u001b[0m \u001b[38;5;250m    \u001b[39m\u001b[38;5;124;03m\"\"\"Compute finite difference approximation of the derivatives of a\u001b[39;00m\n\u001b[1;32m    261\u001b[0m \u001b[38;5;124;03m    vector-valued function.\u001b[39;00m\n\u001b[1;32m    262\u001b[0m \n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    417\u001b[0m \u001b[38;5;124;03m    array([ 2.])\u001b[39;00m\n\u001b[1;32m    418\u001b[0m \u001b[38;5;124;03m    \"\"\"\u001b[39;00m\n\u001b[1;32m    419\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m method \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m [\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m2-point\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m3-point\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mcs\u001b[39m\u001b[38;5;124m'\u001b[39m]:\n",
+      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
+     ]
+    }
+   ],
+   "source": [
+    "# OPTIMIZATION USING GP\n",
+    "\n",
+    "#get initial points for the optimization task\n",
+    "initial_points = pd.read_csv('data_repo/recipe_data_2^7.csv', index_col=[0])\n",
+    "\n",
+    "#do the optimization task\n",
+    "min_list_gp = opt_gp(gpc, gpg, initial_points.to_numpy())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "86135053-78ca-4e19-986e-ea5f66e7daeb",
+   "metadata": {
+    "execution": {
+     "iopub.status.busy": "2024-01-04T14:08:03.181410Z",
+     "iopub.status.idle": "2024-01-04T14:08:03.181893Z",
+     "shell.execute_reply": "2024-01-04T14:08:03.181712Z",
+     "shell.execute_reply.started": "2024-01-04T14:08:03.181693Z"
+    },
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# Look for the minimal value of the above algorithm\n",
+    "\n",
+    "co2_value= 100 #set initial co2 value unrealistically high\n",
+    "min_recipe = []\n",
+    "\n",
+    "for value, key in enumerate(min_list_gp):\n",
+    "    if min_list_gp[key]['co2_value'] < co2_value:\n",
+    "        co2_value = min_list_gp[key]['co2_value']\n",
+    "        min_recipe = min_list_gp[key]['recipe']\n",
+    "print(f'The best recipe is {min_recipe} with CO2 emissions of {co2_value}')\n",
+    "\n",
+    "pd.DataFrame(min_recipe, index =train_input.columns.to_list()) "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b7a2d244-e0ac-4520-b92f-c2306621d5a4",
+   "metadata": {
+    "execution": {
+     "iopub.status.busy": "2024-01-04T14:08:03.183173Z",
+     "iopub.status.idle": "2024-01-04T14:08:03.183570Z",
+     "shell.execute_reply": "2024-01-04T14:08:03.183398Z",
+     "shell.execute_reply.started": "2024-01-04T14:08:03.183380Z"
+    },
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# OPTIMIZATION USING GP\n",
+    "\n",
+    "#get initial points for the optimization task \n",
+    "initial_points = pd.read_csv('data_repo/recipe_data_2^4.csv', index_col=[0])\n",
+    "\n",
+    "#do the optimization task\n",
+    "min_list_nn = opt(co2_NN, elasticity_NN, initial_points.to_numpy())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "bb77a262-f4ad-4581-9e11-a27ded76dd9a",
+   "metadata": {
+    "execution": {
+     "iopub.status.busy": "2024-01-04T14:08:03.186466Z",
+     "iopub.status.idle": "2024-01-04T14:08:03.186935Z",
+     "shell.execute_reply": "2024-01-04T14:08:03.186735Z",
+     "shell.execute_reply.started": "2024-01-04T14:08:03.186715Z"
+    },
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# Look for the minimal value of the above algorithm\n",
+    "co2_value= 100\n",
+    "min_recipe = []\n",
+    "\n",
+    "for value, key in enumerate(min_list_nn):\n",
+    "    if min_list_nn[key]['co2_value'] < co2_value:\n",
+    "        co2_value = min_list_nn[key]['co2_value']\n",
+    "        min_recipe = min_list_nn[key]['recipe']\n",
+    "print(f'The best recipe is {min_recipe} with CO2 emissions of {co2_value}')\n",
+    "\n",
+    "pd.DataFrame(min_recipe, index =train_input.columns.to_list()) "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8bf7e471-9132-4ed3-9f66-21ae70a346aa",
+   "metadata": {
+    "execution": {
+     "iopub.status.busy": "2024-01-04T14:08:03.188178Z",
+     "iopub.status.idle": "2024-01-04T14:08:03.188692Z",
+     "shell.execute_reply": "2024-01-04T14:08:03.188521Z",
+     "shell.execute_reply.started": "2024-01-04T14:08:03.188475Z"
+    },
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# Hyperparameter optimization for the neural network\n",
+    "\n",
+    "# for hydration\n",
+    "#hyp_param_opt(train_input, train_output, test_input, test_output)\n",
+    "\n",
+    "#for phases to elastic moduli\n",
+    "#hyp_param_opt(train_input, train_elastic, test_input, test_elastic)\n",
+    "\n",
+    "#for phases to energy\n",
+    "#hyp_param_opt(train_input, train_energy, test_input, test_energy)\n",
+    "\n",
+    "#for phases to CO2\n",
+    "#hyp_param_opt(train_input, train_co2, test_input, test_co2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b6824625-2ade-4f1b-897e-1b7a6c8839d5",
+   "metadata": {
+    "execution": {
+     "iopub.status.busy": "2024-01-04T14:08:03.189773Z",
+     "iopub.status.idle": "2024-01-04T14:08:03.190261Z",
+     "shell.execute_reply": "2024-01-04T14:08:03.190005Z",
+     "shell.execute_reply.started": "2024-01-04T14:08:03.189988Z"
+    },
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# Algo for Bayesian Optimization\n",
+    "# Not working for now (the algo does not find new points after the initialization\n",
+    "\n",
+    "#BO(gpc, gpg, train_input.to_numpy()) "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "cba9b1ea-8e3a-4e35-aecd-255bbde819d4",
+   "metadata": {
+    "execution": {
+     "iopub.status.busy": "2024-01-04T14:08:03.193377Z",
+     "iopub.status.idle": "2024-01-04T14:08:03.193776Z",
+     "shell.execute_reply": "2024-01-04T14:08:03.193644Z",
+     "shell.execute_reply.started": "2024-01-04T14:08:03.193630Z"
+    },
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# ISMO algorithm TO DO\n",
+    "N = 1\n",
+    "train_input = pd.read_csv('data_repo/recipe_data_2^10.csv', index_col=[0])\n",
+    "train_output = pd.read_csv('data_repo/elastic_moduli_2^10.csv', index_col=[0])\n",
+    "INPUT_DIM = train_input.columns.shape[0]\n",
+    "OUTPUT_DIM = train_output.columns.shape[0]\n",
+    "\n",
+    "model_layers = [tf.keras.layers.InputLayer(input_shape=(INPUT_DIM,))]\n",
+    "for i in range(10):\n",
+    "    model_layers.append(tf.keras.layers.Dense(50, activation='relu'))\n",
+    "\n",
+    "model_layers.append(tf.keras.layers.Dense(OUTPUT_DIM))\n",
+    "model = tf.keras.models.Sequential(model_layers)   \n",
+    "\n",
+    "model.summary()\n",
+    "    \n",
+    "X = tf.convert_to_tensor(train_input, dtype = tf.float32)\n",
+    "y = tf.convert_to_tensor(train_output, dtype = tf.float32)\n",
+    "model.compile(loss=tf.keras.losses.MeanSquaredError(),\n",
+    "                optimizer=tf.keras.optimizers.Adam(),\n",
+    "                 metrics = [tf.keras.losses.MeanSquaredError()])\n",
+    "MAX_EPOCHS = 100\n",
+    "\n",
+    "training_set = pd.read_csv('data_repo/recipe_data_2^4.csv', index_col=[0])\n",
+    "output_set = pd.read_csv('data_repo/elastic_moduli_2^4.csv', index_col=[0])\n",
+    "\n",
+    "mod = 0\n",
+    "def ismo_step(training_set, output_set, co2_NN):\n",
+    "    ''' Implementation of the ISMO step from https://arxiv.org/pdf/2008.05730.pdf '''\n",
+    "    initial_value_index = np.random.randint(0, training_set.shape[0]-1, size = N)\n",
+    "    for i in range(N):\n",
+    "        index = initial_value_index[i]\n",
+    "        local_opt, co2_local_opt = opt_ismo(model, training_set.iloc[index])\n",
+    "        training_set = np.concatenate((training_set, local_opt.reshape(1,-1)))\n",
+    "        print(co2_local_opt.reshape(1,-1))\n",
+    "        output_set = np.concatenate((output_set, gpg.predict(local_opt.reshape(1,-1)).reshape(1,-1)))\n",
+    "    return training_set, output_set, model\n",
+    "\n",
+    "for i in range(10):\n",
+    "    print('Initializing an ISMO step')\n",
+    "    model.fit(training_set, output_set, verbose = 0)\n",
+    "    print('Search for locally optimal data')\n",
+    "    training_set, output_set, model = ismo_step(training_set, output_set, model)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "9ddaa2df-7bf4-483d-b513-832f6999b3a7",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-01-16T09:47:59.841994Z",
+     "iopub.status.busy": "2024-01-16T09:47:59.841166Z",
+     "iopub.status.idle": "2024-01-16T09:48:04.635319Z",
+     "shell.execute_reply": "2024-01-16T09:48:04.634411Z",
+     "shell.execute_reply.started": "2024-01-16T09:47:59.841962Z"
+    },
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# Compute the time for evaluation of the models\n",
+    "import time\n",
+    "inputs = [pd.read_csv('data_repo/recipe_data_1.csv', index_col=[0]),\n",
+    "          pd.read_csv('data_repo/recipe_data_2.csv', index_col=[0]),\n",
+    "          pd.read_csv('data_repo/recipe_data_4.csv', index_col=[0]),\n",
+    "          pd.read_csv('data_repo/recipe_data_2^3.csv', index_col=[0]),\n",
+    "          pd.read_csv('data_repo/recipe_data_2^4.csv', index_col=[0]),\n",
+    "          pd.read_csv('data_repo/recipe_data_2^5.csv', index_col=[0]),\n",
+    "          pd.read_csv('data_repo/recipe_data_2^6.csv', index_col=[0]),\n",
+    "          pd.read_csv('data_repo/recipe_data_2^7.csv', index_col=[0]),\n",
+    "          pd.read_csv('data_repo/recipe_data_2^8.csv', index_col=[0]),\n",
+    "          pd.read_csv('data_repo/recipe_data_2^10.csv', index_col=[0]),\n",
+    "          pd.read_csv('data_repo/recipe_data_2^11.csv', index_col=[0]),\n",
+    "          pd.read_csv('data_repo/recipe_data_2^15.csv', index_col=[0])  \n",
+    "        ]\n",
+    "times_NN = []\n",
+    "times_gp = []\n",
+    "for data in inputs:\n",
+    "    add_time_NN = 0\n",
+    "    add_time_gp = 0\n",
+    "    #for index, row in data.iterrows():\n",
+    "        #row = tf.reshape(tf.constant(row.to_numpy()), (1,-1))\n",
+    "    start_time = time.time()\n",
+    "    hydration_NN.predict(data, verbose=0)\n",
+    "    elapsed_time = time.time() - start_time\n",
+    "    times_NN.append(elapsed_time)\n",
+    "    #add_time_NN += elapsed_time\n",
+    "    start_time = time.time()\n",
+    "    gph.predict(data)#.to_numpy().reshape(1,-1)\n",
+    "    elapsed_time_gp = time.time() - start_time\n",
+    "    #add_time_gp += elapsed_time\n",
+    "    times_gp.append(elapsed_time_gp)\n",
+    "\n",
+    "file_path = \"time/time_hydration_nn.txt\"\n",
+    "with open(file_path, 'w') as file:\n",
+    "    for item in times_NN:\n",
+    "        file.write(\"%s\\n\" % item)\n",
+    "file_path = \"time/time_hydration_gp.txt\"\n",
+    "with open(file_path, 'w') as file:\n",
+    "    for item in times_gp:\n",
+    "        file.write(\"%s\\n\" % item)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "abdee9f3-1bf6-42ca-9784-60d6fb1132cb",
+   "metadata": {
+    "execution": {
+     "iopub.status.busy": "2024-01-04T14:08:03.194318Z",
+     "iopub.status.idle": "2024-01-04T14:08:03.194573Z",
+     "shell.execute_reply": "2024-01-04T14:08:03.194465Z",
+     "shell.execute_reply.started": "2024-01-04T14:08:03.194454Z"
+    },
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# Compute the time for evaluation of the models\n",
+    "import time\n",
+    "inputs = [pd.read_csv('data_repo/recipe_data_1.csv', index_col=[0]),\n",
+    "          pd.read_csv('data_repo/recipe_data_2.csv', index_col=[0]),\n",
+    "          pd.read_csv('data_repo/recipe_data_4.csv', index_col=[0]),\n",
+    "          pd.read_csv('data_repo/recipe_data_2^3.csv', index_col=[0]),\n",
+    "          pd.read_csv('data_repo/recipe_data_2^4.csv', index_col=[0]),\n",
+    "          pd.read_csv('data_repo/recipe_data_2^5.csv', index_col=[0]),\n",
+    "          pd.read_csv('data_repo/recipe_data_2^6.csv', index_col=[0]),\n",
+    "          pd.read_csv('data_repo/recipe_data_2^7.csv', index_col=[0]),\n",
+    "          pd.read_csv('data_repo/recipe_data_2^8.csv', index_col=[0]),\n",
+    "          pd.read_csv('data_repo/recipe_data_2^10.csv', index_col=[0]),\n",
+    "          pd.read_csv('data_repo/recipe_data_2^11.csv', index_col=[0]),\n",
+    "          pd.read_csv('data_repo/recipe_data_2^15.csv', index_col=[0])  \n",
+    "        ]\n",
+    "times_NN = []\n",
+    "times_gp = []\n",
+    "for data in inputs:\n",
+    "    add_time_NN = 0\n",
+    "    add_time_gp = 0\n",
+    "    #for index, row in data.iterrows():\n",
+    "        #row = tf.reshape(tf.constant(row.to_numpy()), (1,-1))\n",
+    "    start_time = time.time()\n",
+    "    elasticity_NN.predict(data, verbose=0)\n",
+    "    elapsed_time = time.time() - start_time\n",
+    "    times_NN.append(elapsed_time)\n",
+    "    #add_time_NN += elapsed_time\n",
+    "    start_time = time.time()\n",
+    "    gpg.predict(data)#.to_numpy().reshape(1,-1)\n",
+    "    elapsed_time_gp = time.time() - start_time\n",
+    "    #add_time_gp += elapsed_time\n",
+    "    times_gp.append(elapsed_time_gp)\n",
+    "\n",
+    "file_path = \"time/time_elasticity_nn.txt\"\n",
+    "with open(file_path, 'w') as file:\n",
+    "    for item in times_NN:\n",
+    "        file.write(\"%s\\n\" % item)\n",
+    "file_path = \"time/time_elasticity_gp.txt\"\n",
+    "with open(file_path, 'w') as file:\n",
+    "    for item in times_gp:\n",
+    "        file.write(\"%s\\n\" % item)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "07481125-2c26-4438-bb81-817111b4449a",
+   "metadata": {
+    "execution": {
+     "iopub.status.busy": "2024-01-04T14:08:03.195104Z",
+     "iopub.status.idle": "2024-01-04T14:08:03.195363Z",
+     "shell.execute_reply": "2024-01-04T14:08:03.195242Z",
+     "shell.execute_reply.started": "2024-01-04T14:08:03.195231Z"
+    },
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "import time\n",
+    "inputs = [pd.read_csv('data_repo/recipe_data_1.csv', index_col=[0]),\n",
+    "          pd.read_csv('data_repo/recipe_data_2.csv', index_col=[0]),\n",
+    "          pd.read_csv('data_repo/recipe_data_4.csv', index_col=[0]),\n",
+    "          pd.read_csv('data_repo/recipe_data_2^3.csv', index_col=[0]),\n",
+    "          pd.read_csv('data_repo/recipe_data_2^4.csv', index_col=[0]),\n",
+    "          pd.read_csv('data_repo/recipe_data_2^5.csv', index_col=[0]),\n",
+    "          pd.read_csv('data_repo/recipe_data_2^6.csv', index_col=[0]),\n",
+    "          pd.read_csv('data_repo/recipe_data_2^7.csv', index_col=[0]),\n",
+    "          pd.read_csv('data_repo/recipe_data_2^8.csv', index_col=[0]),\n",
+    "          pd.read_csv('data_repo/recipe_data_2^10.csv', index_col=[0]),\n",
+    "          pd.read_csv('data_repo/recipe_data_2^11.csv', index_col=[0]),\n",
+    "          pd.read_csv('data_repo/recipe_data_2^15.csv', index_col=[0])  \n",
+    "        ]\n",
+    "times_NN = []\n",
+    "times_gp = []\n",
+    "for data in inputs:\n",
+    "    add_time_NN = 0\n",
+    "    add_time_gp = 0\n",
+    "    #for index, row in data.iterrows():\n",
+    "        #row = tf.reshape(tf.constant(row.to_numpy()), (1,-1))\n",
+    "    start_time = time.time()\n",
+    "    co2_NN.predict(data, verbose=0)\n",
+    "    elapsed_time = time.time() - start_time\n",
+    "    times_NN.append(elapsed_time)\n",
+    "    #add_time_NN += elapsed_time\n",
+    "    start_time = time.time()\n",
+    "    gpc.predict(data)#.to_numpy().reshape(1,-1)\n",
+    "    elapsed_time_gp = time.time() - start_time\n",
+    "    #add_time_gp += elapsed_time\n",
+    "    times_gp.append(elapsed_time_gp)\n",
+    "\n",
+    "file_path = \"time/time_co2_nn.txt\"\n",
+    "with open(file_path, 'w') as file:\n",
+    "    for item in times_NN:\n",
+    "        file.write(\"%s\\n\" % item)\n",
+    "file_path = \"time/time_co2_gp.txt\"\n",
+    "with open(file_path, 'w') as file:\n",
+    "    for item in times_gp:\n",
+    "        file.write(\"%s\\n\" % item)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "50ccca67-c840-4182-a459-50972dd6d8ee",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.13"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/prop/elastic_moduli.py b/prop/elastic_moduli.py
index 1d9a9bba29923e44deaa3840c706c762c8346711..62fcfcebbd2f8e7dff4aae870b999505372be095 100644
--- a/prop/elastic_moduli.py
+++ b/prop/elastic_moduli.py
@@ -13,11 +13,10 @@ from scipy.optimize import fsolve
 #            'Water' : 0.3,         
 #    }
 bulk_moduli_phase = {'CSHQ' : 14.9, # obtain in Modeling the elastic properties of Portland cement paste Haecker+al.
-            'C3S' : 105.2,
             'Belite': 105.2,
-            'C2S' : 105.2,
-            'C3A' : 105.2,
-            'C4AF': 105.2,
+            'Alite' : 105.2,
+            'Aluminate' : 105.2,
+            'Ferrite': 105.2,
             'Portlandite' : 40.0,
             'C3AH6' :14.9,
             'C4AsH12': 40.0,
@@ -30,14 +29,14 @@ bulk_moduli_phase = {'CSHQ' : 14.9, # obtain in Modeling the elastic properties
             "thenardite": 43.4, 
             "Limestone": 69.8, 
             "monosulph-AlFe": 40.0, 
-            'other_material': 14.9 # default value as CSH 14.9, double check with litterature
+            'OH-hydrotalcite': 14.9, 
+            'other_material': 14.9 # default value as CSH 14.9, double check with litterature,                    
     }
 shear_moduli_phase = {'CSHQ' : 9.0, # obtain in Modeling the elastic properties of Portland cement paste Haecker+al.
-            'C3S' : 44.8,
-            'Belite': 44.8,
-            'C2S' : 44.8,
-            'C3A' : 44.8,
-            'C4AF': 44.8,
+            'Belite' : 44.8,
+            'Alite' : 44.8,
+            'Aluminate' : 44.8,
+            'Ferrite': 44.8,
             'Portlandite' : 16.0,
             'C3AH6' :9.0,
             'C4AsH12': 16.0,
@@ -50,8 +49,9 @@ shear_moduli_phase = {'CSHQ' : 9.0, # obtain in Modeling the elastic properties
             "thenardite": 22.3, 
             "Limestone": 30.4, 
             "monosulph-AlFe": 16.0, 
-            'other_material': 9.0 # default value as CSH double check with litterature
-    }
+            'OH-hydrotalcite': 9, 
+            'other_material': 9.0 # default value as CSH double check with litterature 
+                     }
 def create_vol_phase(index, data):
     ''' create the dictionary vol_phase from data '''
     vol_phase_dic = {}
diff --git a/util/create_data.py b/util/create_data.py
index dab3f6f769f5f349be5cddb05b83e380c92e24ec..a56fa012ecda78a4b67c0cbff68033c9937a7870 100644
--- a/util/create_data.py
+++ b/util/create_data.py
@@ -142,8 +142,8 @@ def complete_hydration_from_data(data : pd.DataFrame, output_materials : list, p
     for i in range(data.shape[0]):
         recipe = create_recipe(data.iloc[i])
         #print(recipe)
-        gems_vol_frac = final_hydration(recipe)
-        
+        gems_vol_frac, gems_phase_amounts, gems_B = final_hydration(recipe)
+        #print(gems_vol_frac)
         if gems_vol_frac == None:
             index_to_drop.append(i)
             if print_error == True:
@@ -171,5 +171,5 @@ def complete_hydration_from_data(data : pd.DataFrame, output_materials : list, p
             pd_vol_frac['other_material'] = other_material
             vol_frac_dic[str(i)] = pd_vol_frac
             vol_frac_dic2[str(i)] = pd.Series(gems_vol_frac)
-    return index_to_drop, pd.DataFrame(vol_frac_dic, index = pd_vol_frac.keys()), vol_frac_dic2
+    return index_to_drop, pd.DataFrame(vol_frac_dic, index = pd_vol_frac.keys()), vol_frac_dic2, gems_phase_amounts, gems_B
 
diff --git a/util/final_hydration.py b/util/final_hydration.py
index 08e6f32f58613abdc6b095b8233709cf8ac03561..344d9277b590712cfcd0d54ad3334de0edd0f6ab 100644
--- a/util/final_hydration.py
+++ b/util/final_hydration.py
@@ -3,16 +3,29 @@ from run.hydration import parrot_killoh
 import pandas as pd
 import numpy as np
 
-# dictionary for the recipe of some SCM
-SCM = { 'limestone': ({'C' : 1, 'Ca' : 1, 'O': 3},  'mol'), #calcite/limstone
-       'silica_fume':({'Si' : 1, 'O': 2}, 'mol'),
-       # simpler version of the CEMGEMS recipe not taking into account all the elements
-       'GGBFS' : ({'O' : 0.41, 'Si' : 0.16, 'Al': 0.8, 'Ca': 0.30, 'Mg': 0.5},'kg'), 
-       'fly_ash': ({'O' : 0.46, 'Si' : 0.26, 'Al': 0.10, 'Ca': 0.7, 'Mg': 0.2, 'Fe':0.7, 'K': 0.2},'kg'),
-       'calcined_clay':({'O' : 0.57, 'S' : 0.1, 'Ti': 0.22, 'Ca': 0.2, 'P': 0.2, 'Fe':0.5, 'K': 0.2, 'Na':0.5, 'H':0.4},'kg'),
-       'pozzolan':({'O' : 0.46, 'Si' : 0.25, 'Mg': 0.1, 'Ca': 0.7, 'Fe': 0.3, 'K': 0.6, 'Na': 0.2, 'H': 0.1},'kg')
-}
-#      
+# dictionary for the recipe of some SCM from CEMGEMS CEM-II-BV based on 100 g of each SCM  always give formula in moles!!!
+SCM = { 'limestone': ({'Al' : 0.052961280988, 'C' : 0.85663128045, 'Ca': 0.75431457236,'Fe' : 0.025048813876, 'K': 0.012739394454,'Mg' : 0.044660136362, 'Na': 0.016134497168, 'O': 3.0564427725, 'Si':0.20637670739},  'mol'),
+        'silica_fume':({'Al' : 0.005883425509, 'Ca': 0.002674346509,'Fe' : 0.0002504387073, 'K': 0.0063684402277,'Mg' :0.00099225162461, 'Mn': 0.0001266581442,'Na' : 0.0029036363721, 'O': 3.3128876396,'P' : 0.00028174463078, 'Si': 1.6423635207,'Ti' : 0.0048814082984}, 'mol'),
+       'GGBFS' : ({'Al' : 0.25068590354, 'C' : 0.026137740473, 'Ca': 0.7400381436, 'Fe': 0.0062268216656, 'H': 0.24594931045, 'K': 0.0066234897348, 'Mg':0.18043867977, 'Na': 0.0050333680703, 'O':2.568871619, 'S': 0.034432524341, 'Si': 0.54806878508, 'Ti':0.0064682389664},'mol'), 
+       'calcined_clay':({'Al' : 0.86001188208, 'Ca' : 0.0017850310446, 'Fe': 0.0037610756424, 'H': 0.16669147874, 'K': 0.0021253535161, 'Na':0.009690369309, 'O': 3.1677258055, 'P':0.0028208175955, 'S':0.0012502298115, 'Si':0.86631529281, 'Ti': 0.018797209003},'mol'), 
+       'fly_ash': ({'Al' : 0.35503673551, 'C' : 0.016132843743, 'Ca': 0.17672003338, 'Fe': 0.11522454383, 'K': 0.051594547539, 'Mg':0.087831601512, 'Na': 0.03259168428, 'O':2.8800652865,'S': 0.0049959283184, 'Si':  0.91038757213},'mol')}
+
+
+'''
+Formula in %mass for 100g: 
+- Limestone: CaO: 42.3, Al2O3: 2.7, Fe2O3: 2, SiO2: 12.4, Na2O: 0.5, MgO: 1.8, K2O: 0.6, CO2: 37.7
+
+- Silica Fume: CaO: 0.14997, MgO: 0.039992, K2O: 0.29994, Na2O: 0.089982, TiO2: 0.38992, Mn2O3: 0.009998, P2O5: 0.019996, Al2O3: 0.29994, Fe2O3: 0.019996, SiO2: 98.68
+
+- GGBFS: SiO2: 32.93, Al2O3: 12.78, Fe2O3: 0.49717, CaO: 41.499, MgO: 7.2724, SO3: 0.14623, Na2O: 0.15598, K2O: 0.31195, H2S: 1.1113, H2O: 1.628, TiO2: 0.51667, CO2: 1.1503
+
+- calcined clay: SiO2: 52.052, Al2O3: 43.844, Fe2O3: 0.3003, CaO: 0.1001, SO3: 0.1001, Na2O: 0.3003, K2O: 0.1001, TiO2: 1.5015, P2O5: 0.2002, H2O: 1.5015 
+
+- fly ash: Ca0: 9.91, Al2O3: 18.1, Fe2O2: 9.2, SiO2: 54.7, CO2: 0.71, MgO: 3.54, K2O: 2.43, Na2O: 1.01, SO2: 0.4, P2O5: 0, C: 0
+
+'''
+
+
 
 # dictionary for the 5PL model (values found in cemgem)
 dic_5lp = {'GGBFS' : {'A':0, 'B':1, 'C':7, 'D':70, 'G':1},
@@ -33,13 +46,9 @@ def add_material_to_gemsk(gemsk, recipe):
         if component not in ['clink_phases', 'wc', 'CSH2', 'T', 'RH', 'fineness']:
             #print(component)
             assert component in SCM.keys()
-            value = recipe[component] *1e-3
-            if SCM[component][1] == 'mol':
-                gemsk.add_amt_from_formula(SCM[component][0], value, units='mol')
-            elif SCM[component][1] == 'kg':
-                gemsk.add_amt_from_formula(SCM[component][0], value, units='kg')
-            else:
-                raise UnitsError ('the unit is not taken into account please select "mol" or "kg"')
+            value = recipe[component] *1e-3   # we give the input recipe in g
+            gemsk.add_amt_from_formula(SCM[component][0], value, units='kg')  
+
     gemsk.add_species_amt("O2",1e-6) # to reduce stiffness related to redox
 
 def add_material_for_hydration_to_gemsk(gemsk, recipe):
@@ -57,10 +66,12 @@ def process_gems_result(gemsk):
     ''' Function to process gem result once the equilibration is done '''
     gemsk.supress_phase('gas_gen')
     gems_vol_frac=gemsk.phase_volumes
+    gems_phase_amounts = gemsk.phase_amounts
+    gems_B = gemsk.b
     init_vol = gemsk.system_volume
     for key,val in gems_vol_frac.items():
         gems_vol_frac[key]/=init_vol
-    return gems_vol_frac
+    return gems_vol_frac, gems_phase_amounts, gems_B
     
 def final_hydration(recipe, fail = False):
     ''' Function to compute the final hydration from a recipe '''
@@ -68,7 +79,35 @@ def final_hydration(recipe, fail = False):
     gemsk = GEMS(input_file)
     del recipe['wc_ratio']
     add_material_to_gemsk(gemsk, recipe)
+
+# all the suppress_phases are taken from cemgems: 
     gemsk.supress_phase('gas_gen')
+    gemsk.supress_phase('ettringite-AlFe')
+    gemsk.supress_phase('monosulph-AlFe')
+    gemsk.supress_phase('SO4_OH_AFm')
+    gemsk.supress_phase('Gibbsite')
+    gemsk.supress_phase('Kaolinite')
+    gemsk.supress_phase('Graphite')
+    gemsk.supress_phase('Belite')
+    gemsk.supress_phase('CA')
+    gemsk.supress_phase('CA2')
+    gemsk.supress_phase('C3AH6')
+    gemsk.supress_phase('C4AsH16')
+    gemsk.supress_phase('C3FS0_84H4_32')
+    gemsk.supress_phase('C3FS1_34H3_32')
+    gemsk.supress_phase('Dolomite-dis')
+    gemsk.supress_phase('thaumasite')
+    gemsk.supress_phase('Hematite')
+    gemsk.supress_phase('Goethite')
+    gemsk.supress_phase('Pyrite')
+    gemsk.supress_phase('Magnesite')
+    gemsk.supress_phase('Pyrolusite')
+    gemsk.supress_phase('Natrolite')
+    gemsk.supress_phase('Quartz')
+
+
+    
+    gemsk.add_species_amt("O2@",0.001, units = 'kg')
     equilibration = gemsk.equilibrate()
     if equilibration[0] == 'F' or equilibration[0] == 'B':
         if fail == True: