NotebookGUI-checkpoint.ipynb 148 KB
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{
 "cells": [
  {
   "cell_type": "code",
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   "execution_count": 1,
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   "metadata": {
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    "hideCode": false,
    "hidePrompt": false
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   },
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   "outputs": [],
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   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
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    "\n",
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    "\n",
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    "%load_ext autoreload\n",
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    "\n",
    "from ipywidgets import interact, interactive, fixed, interact_manual\n",
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    "import ipywidgets as widgets\n",
    "\n",
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    "%autoreload 2\n",
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    "%matplotlib notebook"
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   ]
  },
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  {
   "cell_type": "markdown",
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   "metadata": {
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    "hideCode": false,
    "hidePrompt": false
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   },
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   "source": [
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    "## Load old configurations"
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   ]
  },
  {
   "cell_type": "code",
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   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Parabilic Mirror manual optimization  loaded\n"
     ]
    }
   ],
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   "source": [
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    "import DataManager as dm\n",
    "io = dm.IO('Data/')\n",
    "\n",
    "\n",
    "config = io.load(-1)\n",
    "print (config['comment'],' loaded')"
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   ]
  },
  {
   "cell_type": "code",
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   "execution_count": 8,
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   "metadata": {
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    "hideCode": false,
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    "hidePrompt": false
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   },
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   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-1 optimal compressor position\n"
     ]
    }
   ],
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   "source": [
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    "for i in range(-1,0):\n",
    "    config = io.load(i)\n",
    "    print (i ,config['comment'])"
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   ]
  },
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  {
   "cell_type": "markdown",
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   "metadata": {
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    "hideCode": false,
    "hidePrompt": false
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   },
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   "source": [
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    "## FocusCamera"
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   ]
  },
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  {
   "cell_type": "code",
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   "execution_count": 3,
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   "metadata": {
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    "hideCode": false,
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    "hidePrompt": false,
    "scrolled": true
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   },
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   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "available cameras:\n",
      "<DeviceInfo Basler avA2300-25gmDSY (21547524)>\n",
      "<DeviceInfo Basler acA3800-10gm (22005848)>\n",
      "camera found =) Be happy\n"
     ]
    }
   ],
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   "source": [
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    "from Devices.FocusCamera import FocusCamera\n",
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    "\n",
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    "try:\n",
    "    para_config = config['FocusCamera']\n",
    "except:\n",
    "    para_config = {'ExposureTimeAbs': 10000,\n",
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    "                 'min_intensity': 1500,\n",
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    "                  'measure_full' : True}\n",
    "    \n",
    "focus = FocusCamera(para_config)"
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   ]
  },
  {
   "cell_type": "code",
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   "execution_count": 4,
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   "metadata": {
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    "hideCode": false,
    "hidePrompt": false
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   },
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   "outputs": [],
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   "source": [
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    "meas = focus.measure()"
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   ]
  },
  {
   "cell_type": "code",
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   "execution_count": 5,
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   "metadata": {
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    "hideCode": false,
    "hidePrompt": false
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   },
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   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
922
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\" width=\"640\">"
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      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "0.0 1.0\n",
      "0.0261987491957 0.011795958992\n"
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     ]
    }
   ],
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   "source": [
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    "focus.plot_measure(meas)\n",
    "plt.show()"
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   ]
  },
  {
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   "cell_type": "markdown",
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   "metadata": {
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    "hideCode": false,
    "hidePrompt": false
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   },
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   "source": [
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    "## ParabolicMirror"
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   ]
  },
  {
   "cell_type": "code",
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   "execution_count": 6,
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   "metadata": {
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    "hideCode": false,
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    "hidePrompt": true
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   },
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   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "hu\n",
      "hu\n",
      "Connnection with motors sucessful!\n"
     ]
    }
   ],
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   "source": [
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    "from Devices.ParabolicMirror import ParabolicMirror\n",
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    "\n",
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    "\n",
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    "try:\n",
    "    para_config = config['ParabolicMirror']\n",
    "except:\n",
    "    para_config = {'pos_Pay': 3,\n",
    "                 'pos_Paz': 3}\n",
    "    \n",
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    "para = ParabolicMirror(para_config, home = False)"
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   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
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    "hideCode": false,
    "hidePrompt": false
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   },
   "source": [
    "## Periscope"
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   ]
  },
  {
   "cell_type": "code",
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   "execution_count": 4,
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   "metadata": {
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    "collapsed": true,
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    "hideCode": false,
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    "hidePrompt": false
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   },
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   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "hu\n",
      "hu\n",
      "hu\n",
      "hu\n",
      "hu\n",
      "Connnection with motors sucessful!\n",
      "x\n",
      "send message\n",
      "message:  b'l\\x04\\x00\\x00P\\x01'\n",
      "done\n",
      "send message\n",
      "message:  b'S\\x04\\x06\\x00\\xd0\\x01\\x01\\x00\\x99}\\x06\\x00'\n",
      "done\n",
      "reading loop\n",
      "done\n",
      "reading loop\n",
      "done\n",
      "y\n",
      "send message\n",
      "message:  b'l\\x04\\x00\\x00P\\x01'\n",
      "done\n",
      "send message\n",
      "message:  b'S\\x04\\x06\\x00\\xd0\\x01\\x01\\x00f\\x98\\x06\\x00'\n",
      "done\n",
      "reading loop\n",
      "done\n",
      "reading loop\n",
      "done\n",
      "z\n",
      "send message\n",
      "message:  b'l\\x04\\x00\\x00P\\x01'\n",
      "done\n",
      "send message\n",
      "message:  b'S\\x04\\x06\\x00\\xd0\\x01\\x01\\x00f\\x98\\x06\\x00'\n",
      "done\n",
      "reading loop\n",
      "done\n",
      "reading loop\n",
      "done\n",
      "send message\n",
      "message:  b'l\\x04\\x00\\x00P\\x01'\n",
      "done\n",
      "send message\n",
      "message:  b'S\\x04\\x06\\x00\\xd0\\x01\\x01\\x00\\x99}\\x06\\x00'\n",
      "done\n",
      "reading loop\n",
      "done\n",
      "reading loop\n",
      "done\n"
     ]
    }
   ],
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   "source": [
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    "from Devices.Periscope import Periscope\n",
    "\n",
    "\n",
    "try:\n",
    "    per_config = config['Periscope']\n",
    "except:\n",
    "    per_config = {'pos_l_x': 0.1,\n",
    "              'pos_l_y': 0.1,\n",
    "              'pos_l_z': 0.1, \n",
    "              'pos_g_origin_x': -25./2,\n",
    "              'pos_g_origin_y': 25./2,\n",
    "              'pos_g_origin_z': 25./2,\n",
    "              'deltaz_Mz': 0,\n",
    "              'deltaz_Cz': 0,\n",
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    "              'sync_camera': False}\n",
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    "    \n",
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    "per = Periscope(per_config, home = False)"
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   ]
  },
  {
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   "cell_type": "markdown",
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   "metadata": {
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    "hideCode": false,
    "hidePrompt": false
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   },
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   "source": [
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    "## BladePositioning"
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   ]
  },
  {
   "cell_type": "code",
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   "execution_count": null,
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   "metadata": {
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    "collapsed": true,
    "hideCode": false,
    "hidePrompt": false
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   },
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   "outputs": [],
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   "source": [
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    "from Devices.BladePositioning import BladePositioning\n",
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    "\n",
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    "try:\n",
    "    blade_config = config['BladePositioning']\n",
    "except:\n",
    "    blade_config = {'pos_R':344.25, 'pos_L':-2.8}\n",
    "blade = BladePositioning(blade_config, init = 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
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    "collapsed": true,
    "hideCode": false,
    "hidePrompt": false
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   },
   "outputs": [],
   "source": [
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    "#import time\n",
    "#t = time.time()\n",
    "#blade.get_config()\n",
    "#time.time() -t"
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   ]
  },
  {
   "cell_type": "markdown",
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   "metadata": {
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    "hideCode": false,
    "hidePrompt": false
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   },
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   "source": [
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    "## Interferometer"
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   ]
  },
  {
   "cell_type": "code",
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   "execution_count": null,
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   "metadata": {
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    "collapsed": true,
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    "hideCode": false,
    "hidePrompt": false
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   },
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   "outputs": [],
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   "source": [
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    "from Devices.Interferometer import Interferometer\n",
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    "\n",
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    "try:\n",
    "    inter_config = config['Interferometer']\n",
    "except:\n",
    "    inter_config = {'xmax':6.0,\n",
    "                    'xmin':2.6,\n",
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    "                    'zmin':3, \n",
    "                    'zmax':12,\n",
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    "                    'ExposureTimeAbs':35,\n",
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    "                    'TriggerMode':'Off',\n",
    "                    'rescale':5}\n",
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    "inter = Interferometer(inter_config)"
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   ]
  },
  {
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   "cell_type": "code",
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   "execution_count": null,
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   "metadata": {
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    "collapsed": true,
    "hideCode": false,
    "hidePrompt": false
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   },
   "outputs": [],
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   "source": [
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    "measurement = inter.measure()"
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   ]
  },
  {
   "cell_type": "code",
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   "execution_count": null,
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   "metadata": {
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    "collapsed": true,
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    "hideCode": false,
    "hideOutput": true,
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    "hidePrompt": false,
    "scrolled": true
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   },
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   "outputs": [],
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   "source": [
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    "inter.plot_measure(measurement)"
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   ]
  },
  {
   "cell_type": "markdown",
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   "metadata": {
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    "hideCode": false,
    "hidePrompt": false
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   },
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   "source": [
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    "## DelayGenerator"
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   ]
  },
  {
   "cell_type": "code",
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   "execution_count": null,
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   "metadata": {
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    "collapsed": true,
    "hideCode": false,
    "hidePrompt": false
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   },
   "outputs": [],
   "source": [
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    "from Devices.DelayGenerator import DelayGenerator\n",
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    "\n",
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    "try:\n",
    "    delay_config = config['DelayGenerator']\n",
    "except:\n",
    "    delay_config = {'jet_triggered': True,\n",
    "                    'mode': 'single shot',\n",
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    "                    'rate': 10.,\n",
    "                    't_sleep': 0.05}\n",
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    "\n",
    "delay = DelayGenerator(delay_config)"
   ]
  },
  {
   "cell_type": "code",
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   "execution_count": null,
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   "metadata": {
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    "collapsed": true,
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    "hideCode": false,
    "hidePrompt": false
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   },
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   "outputs": [],
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   "source": [
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    "delay.measure()"
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   ]
  },
  {
   "cell_type": "markdown",
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   "metadata": {
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    "hideCode": false,
    "hidePrompt": false
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   },
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   "source": [
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    "## DRS4"
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   ]
  },
  {
   "cell_type": "code",
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   "execution_count": 7,
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   "metadata": {
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    "hideCode": false,
    "hidePrompt": false
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   },
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   "outputs": [],
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   "source": [
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    "from Devices.DRS4 import DRS4\n",
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    "\n",
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    "try:\n",
    "    drs_config = config['DRS4']\n",
    "except:\n",
    "    drs_config = {'trigger_level_CH0': 100,\n",
    "                  'trigger_mode':2,\n",
    "                  'delay': 0.0}\n",
    "drs = DRS4(drs_config)"
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   ]
  },
  {
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   "cell_type": "markdown",
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   "metadata": {
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    "hideCode": false,
    "hidePrompt": false
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   },
   "source": [
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    "## Laser"
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   ]
  },
  {
   "cell_type": "code",
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   "execution_count": 8,
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   "metadata": {
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    "collapsed": true,
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    "hideCode": false,
    "hidePrompt": false
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   },
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   "outputs": [],
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   "source": [
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    "from Devices.Laser import Laser\n",
    "\n",
    "try:\n",
    "    laser_config = config['Laser']\n",
    "except:\n",
    "    laser_config = {'max_angle': -22.9,\n",
    "                    'attenuation': 100,\n",
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    "                    'comp_lin': 38.200,\n",
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    "                    'channel': 1}\n",
    "\n",
    "laser = Laser(laser_config, drs)"
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   ]
  },
  {
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   "cell_type": "markdown",
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   "metadata": {
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    "hideCode": false,
    "hidePrompt": false
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   },
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   "source": [
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    "## FaradayCup"
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   ]
  },
  {
   "cell_type": "code",
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   "execution_count": null,
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   "metadata": {
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    "collapsed": true,
    "hideCode": false,
    "hidePrompt": false
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   },
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   "outputs": [],
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   "source": [
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    "from Devices.FaradayCup import FaradayCup\n",
    "\n",
    "try:\n",
    "    fara_config = config['FaradayCup']\n",
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    "    fara = FaradayCup(fara_config, drs)\n",
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    "except:\n",
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    "    fara_config = {'channel':2,\n",
    "                  'R': 50,\n",
    "                  'amplification': 1e4}\n",
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    "    fara = FaradayCup(fara_config, drs)"
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   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
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    "hideCode": false,
    "hidePrompt": false
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   },
   "source": [
    "## test_devices"
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   ]
  },
  {
   "cell_type": "code",
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   "execution_count": null,
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   "metadata": {
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    "collapsed": true,
    "hideCode": false,
    "hidePrompt": false
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   },
   "outputs": [],
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   "source": [
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    "from Devices.test_devices import test_device1, test_device2\n",
    "\n",
    "td1 = test_device1(2)\n",
    "td2 = test_device2(4.)"
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   ]
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  },
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  {
   "cell_type": "markdown",
   "metadata": {
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    "hideCode": false,
    "hidePrompt": false
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   },
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   "source": [
    "# IO und GUI"
   ]
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  },
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  {
   "cell_type": "code",
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   "execution_count": 9,
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   "metadata": {
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    "collapsed": true,