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October 7, 2022 07:47
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Using hyperspy, quantify each pixel in a Bruker EDS map and output RGBs and quantitative images.
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| "text": [ | |
| "Populating the interactive namespace from numpy and matplotlib\n" | |
| ] | |
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| "<style>.container { width:100% !important; }</style>" | |
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| "%pylab notebook\n", | |
| "import hyperspy.api as hs\n", | |
| "import matplotlib.pylab as pylab\n", | |
| "pylab.rcParams['figure.figsize'] = 8, 6 # that's default image size for this interactive session\n", | |
| "from IPython.core.display import display, HTML\n", | |
| "display(HTML(\"<style>.container { width:100% !important; }</style>\"))\n", | |
| "import os\n", | |
| "import seaborn as sns\n", | |
| "import pandas as pd\n", | |
| "from skimage.exposure import equalize_hist, equalize_adapthist, rescale_intensity\n", | |
| "from skimage import filters\n", | |
| "\n", | |
| "def MakeRGBFromMaps(R,G,B, bits=16, equalize=False, cutnoise=False):\n", | |
| " MaxPixelVal = (2**bits)-1\n", | |
| " \n", | |
| " # Make a Signal2D from the three images and copy over the metadata.\n", | |
| " x = hs.stack([R,G,B])\n", | |
| " x = hs.signals.Signal2D(x).T\n", | |
| " x.metadata = R.metadata\n", | |
| " x.original_metadata = R.original_metadata\n", | |
| " x.metadata.General.title = R.metadata.Sample.xray_lines[0] + '(R) ' + G.metadata.Sample.xray_lines[0] + '(G) ' + B.metadata.Sample.xray_lines[0] + '(B)'\n", | |
| " \n", | |
| " rdata = x.data[:,:,0]\n", | |
| " gdata = x.data[:,:,1]\n", | |
| " bdata = x.data[:,:,2]\n", | |
| " \n", | |
| " if cutnoise==True:\n", | |
| " NoiseCutAggressiveness = 1 # 0 means no cut, 1 means full cut.\n", | |
| " rdata[rdata < filters.threshold_triangle(rdata)*NoiseCutAggressiveness] = 0\n", | |
| " gdata[gdata < filters.threshold_triangle(gdata)*NoiseCutAggressiveness] = 0\n", | |
| " bdata[bdata < filters.threshold_triangle(bdata)*NoiseCutAggressiveness] = 0\n", | |
| " \n", | |
| " if equalize==True:\n", | |
| " rdata = equalize_hist(rdata)\n", | |
| " gdata = equalize_hist(gdata)\n", | |
| " bdata = equalize_hist(bdata)\n", | |
| "\n", | |
| " rdata = rescale_intensity(rdata)*MaxPixelVal\n", | |
| " gdata = rescale_intensity(gdata)*MaxPixelVal\n", | |
| " bdata = rescale_intensity(bdata)*MaxPixelVal\n", | |
| "\n", | |
| " x.data[:,:,0] = rdata\n", | |
| " x.data[:,:,1] = gdata\n", | |
| " x.data[:,:,2] = bdata\n", | |
| "\n", | |
| " # Convert to RGB.\n", | |
| " if bits==16:\n", | |
| " x.change_dtype('uint16')\n", | |
| " x.change_dtype('rgb16')\n", | |
| " else:\n", | |
| " x.change_dtype('uint8')\n", | |
| " x.change_dtype('rgb8') \n", | |
| " \n", | |
| " # Copy the axes info over from the R map.\n", | |
| " x.axes_manager = R.axes_manager.copy()\n", | |
| "\n", | |
| " return(x)\n", | |
| "\n", | |
| "def EqualizeAxis(fignum=None):\n", | |
| " # Because of a bug in Hyperspi, I sometimes have to set the axis to equal after we rebin.\n", | |
| " if fignum == None:\n", | |
| " fig=plt.gcf()\n", | |
| " else:\n", | |
| " fig = plt.figure(fignum)\n", | |
| " ax = fig.axes\n", | |
| " if type(ax) != list:\n", | |
| " ax.axis('equal')\n", | |
| " else:\n", | |
| " for a in ax:\n", | |
| " a.axis('equal')\n", | |
| " fig.tight_layout()\n", | |
| " \n", | |
| "def PlotAndSaveRGB(RGBElements, equalizeRGB=True, cutnoiseRGB=True):\n", | |
| " Img1 = MakeRGBFromMaps(ElementMapDict[RGBElements[0]],ElementMapDict[RGBElements[1]],ElementMapDict[RGBElements[2]], \n", | |
| " equalize=equalizeRGB, cutnoise=cutnoiseRGB)\n", | |
| " Img1.plot()\n", | |
| " Img1.save(os.path.join(f'{BinningFactor}bin QuantMap', f'{RGBElements[0]}-{RGBElements[1]}-{RGBElements[2]}.tif'), overwrite=True)\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
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| "id": "7a94c483", | |
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| "source": [ | |
| "StackName = 'Stack.bcf'\n", | |
| "BinningFactor = 16\n", | |
| "\n", | |
| "# Choose which elements to include. The fitting can go bad if really low abudance/absent elements are included so trim this list.\n", | |
| "Elements = None\n", | |
| "Elements = ['C', 'N', 'O', 'Na', 'Mg', 'Si', 'P', 'S', 'Cl', 'Ca', 'Fe', 'Ni', 'Cu', 'Ga', 'Pt']\n", | |
| "# Elements = ['C', 'N', 'O', 'Na', 'Mg', 'Al', 'Si', 'P', 'S', 'Cl', 'K', 'Ca', 'Ti', 'V', 'Mn', 'Fe', 'Ni', 'Zn', 'Cu', 'Ga', 'Pt']\n", | |
| "\n", | |
| "# You also have the choice to specify only specific lines to quant.\n", | |
| "# If Quant_Lines = None, then it will use all the lines for the elements above. Otherwise, it will only quant these lines.\n", | |
| "Quant_Lines = None\n", | |
| "Quant_Lines = ['C_Ka', \n", | |
| " 'N_Ka', \n", | |
| " 'O_Ka', \n", | |
| " 'Na_Ka', \n", | |
| " 'Mg_Ka', \n", | |
| " 'Al_Ka', \n", | |
| " 'Si_Ka', \n", | |
| " 'P_Ka', \n", | |
| " 'S_Ka',\n", | |
| " 'Cl_Ka',\n", | |
| " #'K_Ka', 'K_Kb',\n", | |
| " 'Ca_Ka', 'Ca_Kb',\n", | |
| " #'Ti_Ka', 'Ti_Kb',\n", | |
| " #'V_Ka', 'V_Kb',\n", | |
| " #'Mn_Ka', 'Mn_Kb',\n", | |
| " 'Fe_La', 'Fe_Ka', 'Fe_Kb', \n", | |
| " 'Ni_La', 'Ni_Ka', 'Ni_Kb',\n", | |
| " #'Zn_Ka', 'Zn_Kb',\n", | |
| " 'Cu_La', 'Cu_Ka', 'Cu_Kb',\n", | |
| " 'Ga_La', 'Ga_Lb1', 'Ga_Lb3', 'Ga_Ka', 'Ga_Kb',\n", | |
| " 'Pt_Ma',\n", | |
| " ]\n", | |
| "\n", | |
| "# It can improve the fit quite a bit top calibrate the exact position and FWHM of each line individually. But it takes a long, long time.\n", | |
| "# Calibration_Lines = None # This option is best for speed.\n", | |
| "# Calibration_Lines = Quant_Lines # This does all the lines. You could also just do a subset if it is only a couple that have trouble.\n", | |
| "Calibration_Lines = ['C_Ka', 'N_Ka', 'O_Ka', 'Si_Ka'] # Only do some lines. It's usually the very low energy lines that need calibration anyay.\n", | |
| "#Quant_Lines #['Fe_Ka', 'Si_Ka']\n", | |
| "\n", | |
| "# Calibrate energy axis -- only works with low-noise spectra. Often you can accomplish an equivalent result safer just calibrating individual lines above.\n", | |
| "Calibrate_Energy_Axis_Lines = None # This option disables the axis calibration. Best option for noisy spectra, and for speed.\n", | |
| "#Calibrate_Energy_Axis_Lines = 'all_alpha' # This option is good for a low noise spectrum but it will mess up your axis in many cases. Consider just calibrating specific edges instead.\n", | |
| "#Calibrate_Energy_Axis_Lines = ['C_Ka', 'O_Ka'] # This option is good if you have two clearly separated peaks at oppo" | |
| ] | |
| }, | |
| { | |
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| "execution_count": 82, | |
| "id": "8cee09f3", | |
| "metadata": { | |
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| "text": [ | |
| "Stack dimensions are: (512, 512, 2048).\n", | |
| "New stack dimensions are: (32, 32, 2048) with binning: 16\n", | |
| "├── Acquisition_instrument\n", | |
| "│ └── TEM\n", | |
| "│ ├── Detector\n", | |
| "│ │ └── EDS\n", | |
| "│ │ ├── azimuth_angle = 45.0\n", | |
| "│ │ ├── detector_type = Custom type\n", | |
| "│ │ ├── elevation_angle = 18.0\n", | |
| "│ │ ├── energy_resolution_MnKa = 130.0\n", | |
| "│ │ ├── live_time = 98038.272\n", | |
| "│ │ └── real_time = 179238.33856\n", | |
| "│ ├── Stage\n", | |
| "│ │ └── tilt_alpha = 0.0\n", | |
| "│ ├── beam_energy = 300\n", | |
| "│ └── magnification = 57000\n", | |
| "├── General\n", | |
| "│ ├── date = 2022-05-08\n", | |
| "│ ├── original_filename = Stack.bcf\n", | |
| "│ ├── time = 22:14:37\n", | |
| "│ └── title = EDX\n", | |
| "├── Sample\n", | |
| "│ ├── elements = ['Al', 'C', 'Ca', 'Cl', 'Cu', 'Fe', 'Ga', 'Mg', 'Mn', 'N', 'Na', 'Ni', 'O', 'P', 'Pt', 'S', 'Si']\n", | |
| "│ ├── name = Undefinded\n", | |
| "│ └── xray_lines <list>\n", | |
| "│ ╠══ [0] = Al_Ka\n", | |
| "│ ╠══ [1] = C_Ka\n", | |
| "│ ╠══ [10] = Fe_La\n", | |
| "│ ╠══ [11] = Ga_Ka\n", | |
| "│ ╠══ [12] = Ga_Kb\n", | |
| "│ ╠══ [13] = Ga_La\n", | |
| "│ ╠══ [14] = Ga_Lb1\n", | |
| "│ ╠══ [15] = Ga_Lb3\n", | |
| "│ ╠══ [16] = Mg_Ka\n", | |
| "│ ╠══ [17] = Mn_Ka\n", | |
| "│ ╠══ [18] = N_Ka\n", | |
| "│ ╠══ [19] = Na_Ka\n", | |
| "│ ╠══ [2] = Ca_Ka\n", | |
| "│ ╠══ [20] = Ni_Ka\n", | |
| "│ ╠══ [21] = Ni_Kb\n", | |
| "│ ╠══ [22] = Ni_La\n", | |
| "│ ╠══ [23] = O_Ka\n", | |
| "│ ╠══ [24] = P_Ka\n", | |
| "│ ╠══ [25] = Pt_La\n", | |
| "│ ╠══ [26] = Pt_Ma\n", | |
| "│ ╠══ [27] = S_Ka\n", | |
| "│ ╠══ [28] = Si_Ka\n", | |
| "│ ╠══ [3] = Ca_Kb\n", | |
| "│ ╠══ [4] = Cl_Ka\n", | |
| "│ ╠══ [5] = Cu_Ka\n", | |
| "│ ╠══ [6] = Cu_Kb\n", | |
| "│ ╠══ [7] = Cu_La\n", | |
| "│ ╠══ [8] = Fe_Ka\n", | |
| "│ ╚══ [9] = Fe_Kb\n", | |
| "└── Signal\n", | |
| " ├── binned = True\n", | |
| " ├── quantity = X-rays (Counts)\n", | |
| " └── signal_type = EDS_TEM\n", | |
| "\n", | |
| "Zeroing out the first 55 energy bins of the spectrum to eliminate the zero energy peak.\n" | |
| ] | |
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| "\n", | |
| " function on_mouse_event_closure(name) {\n", | |
| " return function (event) {\n", | |
| " return fig.mouse_event(event, name);\n", | |
| " };\n", | |
| " }\n", | |
| "\n", | |
| " rubberband_canvas.addEventListener(\n", | |
| " 'mousedown',\n", | |
| " on_mouse_event_closure('button_press')\n", | |
| " );\n", | |
| " rubberband_canvas.addEventListener(\n", | |
| " 'mouseup',\n", | |
| " on_mouse_event_closure('button_release')\n", | |
| " );\n", | |
| " rubberband_canvas.addEventListener(\n", | |
| " 'dblclick',\n", | |
| " on_mouse_event_closure('dblclick')\n", | |
| " );\n", | |
| " // Throttle sequential mouse events to 1 every 20ms.\n", | |
| " rubberband_canvas.addEventListener(\n", | |
| " 'mousemove',\n", | |
| " on_mouse_event_closure('motion_notify')\n", | |
| " );\n", | |
| "\n", | |
| " rubberband_canvas.addEventListener(\n", | |
| " 'mouseenter',\n", | |
| " on_mouse_event_closure('figure_enter')\n", | |
| " );\n", | |
| " rubberband_canvas.addEventListener(\n", | |
| " 'mouseleave',\n", | |
| " on_mouse_event_closure('figure_leave')\n", | |
| " );\n", | |
| "\n", | |
| " canvas_div.addEventListener('wheel', function (event) {\n", | |
| " if (event.deltaY < 0) {\n", | |
| " event.step = 1;\n", | |
| " } else {\n", | |
| " event.step = -1;\n", | |
| " }\n", | |
| " on_mouse_event_closure('scroll')(event);\n", | |
| " });\n", | |
| "\n", | |
| " canvas_div.appendChild(canvas);\n", | |
| " canvas_div.appendChild(rubberband_canvas);\n", | |
| "\n", | |
| " this.rubberband_context = rubberband_canvas.getContext('2d');\n", | |
| " this.rubberband_context.strokeStyle = '#000000';\n", | |
| "\n", | |
| " this._resize_canvas = function (width, height, forward) {\n", | |
| " if (forward) {\n", | |
| " canvas_div.style.width = width + 'px';\n", | |
| " canvas_div.style.height = height + 'px';\n", | |
| " }\n", | |
| " };\n", | |
| "\n", | |
| " // Disable right mouse context menu.\n", | |
| " this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n", | |
| " event.preventDefault();\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 toolbar = document.createElement('div');\n", | |
| " toolbar.classList = 'mpl-toolbar';\n", | |
| " this.root.appendChild(toolbar);\n", | |
| "\n", | |
| " function on_click_closure(name) {\n", | |
| " return function (_event) {\n", | |
| " return fig.toolbar_button_onclick(name);\n", | |
| " };\n", | |
| " }\n", | |
| "\n", | |
| " function on_mouseover_closure(tooltip) {\n", | |
| " return function (event) {\n", | |
| " if (!event.currentTarget.disabled) {\n", | |
| " return fig.toolbar_button_onmouseover(tooltip);\n", | |
| " }\n", | |
| " };\n", | |
| " }\n", | |
| "\n", | |
| " fig.buttons = {};\n", | |
| " var buttonGroup = document.createElement('div');\n", | |
| " buttonGroup.classList = 'mpl-button-group';\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", | |
| " /* Instead of a spacer, we start a new button group. */\n", | |
| " if (buttonGroup.hasChildNodes()) {\n", | |
| " toolbar.appendChild(buttonGroup);\n", | |
| " }\n", | |
| " buttonGroup = document.createElement('div');\n", | |
| " buttonGroup.classList = 'mpl-button-group';\n", | |
| " continue;\n", | |
| " }\n", | |
| "\n", | |
| " var button = (fig.buttons[name] = document.createElement('button'));\n", | |
| " button.classList = 'mpl-widget';\n", | |
| " button.setAttribute('role', 'button');\n", | |
| " button.setAttribute('aria-disabled', 'false');\n", | |
| " button.addEventListener('click', on_click_closure(method_name));\n", | |
| " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", | |
| "\n", | |
| " var icon_img = document.createElement('img');\n", | |
| " icon_img.src = '_images/' + image + '.png';\n", | |
| " icon_img.srcset = '_images/' + image + '_large.png 2x';\n", | |
| " icon_img.alt = tooltip;\n", | |
| " button.appendChild(icon_img);\n", | |
| "\n", | |
| " buttonGroup.appendChild(button);\n", | |
| " }\n", | |
| "\n", | |
| " if (buttonGroup.hasChildNodes()) {\n", | |
| " toolbar.appendChild(buttonGroup);\n", | |
| " }\n", | |
| "\n", | |
| " var fmt_picker = document.createElement('select');\n", | |
| " fmt_picker.classList = 'mpl-widget';\n", | |
| " toolbar.appendChild(fmt_picker);\n", | |
| " this.format_dropdown = fmt_picker;\n", | |
| "\n", | |
| " for (var ind in mpl.extensions) {\n", | |
| " var fmt = mpl.extensions[ind];\n", | |
| " var option = document.createElement('option');\n", | |
| " option.selected = fmt === mpl.default_extension;\n", | |
| " option.innerHTML = fmt;\n", | |
| " fmt_picker.appendChild(option);\n", | |
| " }\n", | |
| "\n", | |
| " var status_bar = document.createElement('span');\n", | |
| " status_bar.classList = 'mpl-message';\n", | |
| " toolbar.appendChild(status_bar);\n", | |
| " this.message = status_bar;\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", | |
| "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", | |
| "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], msg['forward']);\n", | |
| " fig.send_message('refresh', {});\n", | |
| " }\n", | |
| "};\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n", | |
| " var x0 = msg['x0'] / fig.ratio;\n", | |
| " var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n", | |
| " var x1 = msg['x1'] / fig.ratio;\n", | |
| " var y1 = (fig.canvas.height - msg['y1']) / fig.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,\n", | |
| " 0,\n", | |
| " fig.canvas.width / fig.ratio,\n", | |
| " fig.canvas.height / fig.ratio\n", | |
| " );\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", | |
| " 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.handle_history_buttons = function (fig, msg) {\n", | |
| " for (var key in msg) {\n", | |
| " if (!(key in fig.buttons)) {\n", | |
| " continue;\n", | |
| " }\n", | |
| " fig.buttons[key].disabled = !msg[key];\n", | |
| " fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n", | |
| " }\n", | |
| "};\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n", | |
| " if (msg['mode'] === 'PAN') {\n", | |
| " fig.buttons['Pan'].classList.add('active');\n", | |
| " fig.buttons['Zoom'].classList.remove('active');\n", | |
| " } else if (msg['mode'] === 'ZOOM') {\n", | |
| " fig.buttons['Pan'].classList.remove('active');\n", | |
| " fig.buttons['Zoom'].classList.add('active');\n", | |
| " } else {\n", | |
| " fig.buttons['Pan'].classList.remove('active');\n", | |
| " fig.buttons['Zoom'].classList.remove('active');\n", | |
| " }\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", | |
| " var img = evt.data;\n", | |
| " if (img.type !== 'image/png') {\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", | |
| " img.type = 'image/png';\n", | |
| " }\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", | |
| "\n", | |
| " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n", | |
| " img\n", | |
| " );\n", | |
| " fig.updated_canvas_event();\n", | |
| " fig.waiting = false;\n", | |
| " return;\n", | |
| " } else if (\n", | |
| " typeof evt.data === 'string' &&\n", | |
| " evt.data.slice(0, 21) === 'data:image/png;base64'\n", | |
| " ) {\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(\n", | |
| " \"No handler for the '\" + msg_type + \"' message type: \",\n", | |
| " msg\n", | |
| " );\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(\n", | |
| " \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n", | |
| " e,\n", | |
| " e.stack,\n", | |
| " msg\n", | |
| " );\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", | |
| " }\n", | |
| " if (e.target) {\n", | |
| " targ = e.target;\n", | |
| " } else if (e.srcElement) {\n", | |
| " targ = e.srcElement;\n", | |
| " }\n", | |
| " if (targ.nodeType === 3) {\n", | |
| " // defeat Safari bug\n", | |
| " targ = targ.parentNode;\n", | |
| " }\n", | |
| "\n", | |
| " // pageX,Y are the mouse positions relative to the document\n", | |
| " var boundingRect = targ.getBoundingClientRect();\n", | |
| " var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n", | |
| " var y = e.pageY - (boundingRect.top + document.body.scrollTop);\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", | |
| " }\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", | |
| " this.canvas.focus();\n", | |
| " this.canvas_div.focus();\n", | |
| " }\n", | |
| "\n", | |
| " var x = canvas_pos.x * this.ratio;\n", | |
| " var y = canvas_pos.y * this.ratio;\n", | |
| "\n", | |
| " this.send_message(name, {\n", | |
| " x: x,\n", | |
| " y: y,\n", | |
| " button: event.button,\n", | |
| " step: event.step,\n", | |
| " guiEvent: simpleKeys(event),\n", | |
| " });\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", | |
| " // Prevent repeat events\n", | |
| " if (name === 'key_press') {\n", | |
| " if (event.key === this._key) {\n", | |
| " return;\n", | |
| " } else {\n", | |
| " this._key = event.key;\n", | |
| " }\n", | |
| " }\n", | |
| " if (name === 'key_release') {\n", | |
| " this._key = null;\n", | |
| " }\n", | |
| "\n", | |
| " var value = '';\n", | |
| " if (event.ctrlKey && event.key !== 'Control') {\n", | |
| " value += 'ctrl+';\n", | |
| " }\n", | |
| " else if (event.altKey && event.key !== 'Alt') {\n", | |
| " value += 'alt+';\n", | |
| " }\n", | |
| " else if (event.shiftKey && event.key !== 'Shift') {\n", | |
| " value += 'shift+';\n", | |
| " }\n", | |
| "\n", | |
| " value += 'k' + event.key;\n", | |
| "\n", | |
| " this._key_event_extra(event, name);\n", | |
| "\n", | |
| " this.send_message(name, { key: value, 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", | |
| "\n", | |
| "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n", | |
| "// prettier-ignore\n", | |
| "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\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\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n", | |
| "\n", | |
| "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n", | |
| "\n", | |
| "mpl.default_extension = \"png\";/* global mpl */\n", | |
| "\n", | |
| "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.binaryType = comm.kernel.ws.binaryType;\n", | |
| " ws.readyState = comm.kernel.ws.readyState;\n", | |
| " function updateReadyState(_event) {\n", | |
| " if (comm.kernel.ws) {\n", | |
| " ws.readyState = comm.kernel.ws.readyState;\n", | |
| " } else {\n", | |
| " ws.readyState = 3; // Closed state.\n", | |
| " }\n", | |
| " }\n", | |
| " comm.kernel.ws.addEventListener('open', updateReadyState);\n", | |
| " comm.kernel.ws.addEventListener('close', updateReadyState);\n", | |
| " comm.kernel.ws.addEventListener('error', updateReadyState);\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", | |
| " var data = msg['content']['data'];\n", | |
| " if (data['blob'] !== undefined) {\n", | |
| " data = {\n", | |
| " data: new Blob(msg['buffers'], { type: data['blob'] }),\n", | |
| " };\n", | |
| " }\n", | |
| " // Pass the mpl event to the overridden (by mpl) onmessage function.\n", | |
| " ws.onmessage(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 = document.getElementById(id);\n", | |
| " var ws_proxy = comm_websocket_adapter(comm);\n", | |
| "\n", | |
| " function ondownload(figure, _format) {\n", | |
| " window.open(figure.canvas.toDataURL());\n", | |
| " }\n", | |
| "\n", | |
| " var fig = new mpl.figure(id, ws_proxy, ondownload, element);\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;\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", | |
| " fig.cell_info[0].output_area.element.on(\n", | |
| " 'cleared',\n", | |
| " { fig: fig },\n", | |
| " fig._remove_fig_handler\n", | |
| " );\n", | |
| "};\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_close = function (fig, msg) {\n", | |
| " var width = fig.canvas.width / fig.ratio;\n", | |
| " fig.cell_info[0].output_area.element.off(\n", | |
| " 'cleared',\n", | |
| " fig._remove_fig_handler\n", | |
| " );\n", | |
| " fig.resizeObserverInstance.unobserve(fig.canvas_div);\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.innerHTML =\n", | |
| " '<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 / this.ratio;\n", | |
| " var dataURL = this.canvas.toDataURL();\n", | |
| " this.cell_info[1]['text/html'] =\n", | |
| " '<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 () {\n", | |
| " fig.push_to_output();\n", | |
| " }, 1000);\n", | |
| "};\n", | |
| "\n", | |
| "mpl.figure.prototype._init_toolbar = function () {\n", | |
| " var fig = this;\n", | |
| "\n", | |
| " var toolbar = document.createElement('div');\n", | |
| " toolbar.classList = 'btn-toolbar';\n", | |
| " this.root.appendChild(toolbar);\n", | |
| "\n", | |
| " function on_click_closure(name) {\n", | |
| " return function (_event) {\n", | |
| " return fig.toolbar_button_onclick(name);\n", | |
| " };\n", | |
| " }\n", | |
| "\n", | |
| " function on_mouseover_closure(tooltip) {\n", | |
| " return function (event) {\n", | |
| " if (!event.currentTarget.disabled) {\n", | |
| " return fig.toolbar_button_onmouseover(tooltip);\n", | |
| " }\n", | |
| " };\n", | |
| " }\n", | |
| "\n", | |
| " fig.buttons = {};\n", | |
| " var buttonGroup = document.createElement('div');\n", | |
| " buttonGroup.classList = 'btn-group';\n", | |
| " var button;\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", | |
| " /* Instead of a spacer, we start a new button group. */\n", | |
| " if (buttonGroup.hasChildNodes()) {\n", | |
| " toolbar.appendChild(buttonGroup);\n", | |
| " }\n", | |
| " buttonGroup = document.createElement('div');\n", | |
| " buttonGroup.classList = 'btn-group';\n", | |
| " continue;\n", | |
| " }\n", | |
| "\n", | |
| " button = fig.buttons[name] = document.createElement('button');\n", | |
| " button.classList = 'btn btn-default';\n", | |
| " button.href = '#';\n", | |
| " button.title = name;\n", | |
| " button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n", | |
| " button.addEventListener('click', on_click_closure(method_name));\n", | |
| " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", | |
| " buttonGroup.appendChild(button);\n", | |
| " }\n", | |
| "\n", | |
| " if (buttonGroup.hasChildNodes()) {\n", | |
| " toolbar.appendChild(buttonGroup);\n", | |
| " }\n", | |
| "\n", | |
| " // Add the status bar.\n", | |
| " var status_bar = document.createElement('span');\n", | |
| " status_bar.classList = 'mpl-message pull-right';\n", | |
| " toolbar.appendChild(status_bar);\n", | |
| " this.message = status_bar;\n", | |
| "\n", | |
| " // Add the close button to the window.\n", | |
| " var buttongrp = document.createElement('div');\n", | |
| " buttongrp.classList = 'btn-group inline pull-right';\n", | |
| " button = document.createElement('button');\n", | |
| " button.classList = 'btn btn-mini btn-primary';\n", | |
| " button.href = '#';\n", | |
| " button.title = 'Stop Interaction';\n", | |
| " button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n", | |
| " button.addEventListener('click', function (_evt) {\n", | |
| " fig.handle_close(fig, {});\n", | |
| " });\n", | |
| " button.addEventListener(\n", | |
| " 'mouseover',\n", | |
| " on_mouseover_closure('Stop Interaction')\n", | |
| " );\n", | |
| " buttongrp.appendChild(button);\n", | |
| " var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n", | |
| " titlebar.insertBefore(buttongrp, titlebar.firstChild);\n", | |
| "};\n", | |
| "\n", | |
| "mpl.figure.prototype._remove_fig_handler = function (event) {\n", | |
| " var fig = event.data.fig;\n", | |
| " if (event.target !== this) {\n", | |
| " // Ignore bubbled events from children.\n", | |
| " return;\n", | |
| " }\n", | |
| " fig.close_ws(fig, {});\n", | |
| "};\n", | |
| "\n", | |
| "mpl.figure.prototype._root_extra_style = function (el) {\n", | |
| " el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n", | |
| "};\n", | |
| "\n", | |
| "mpl.figure.prototype._canvas_extra_style = function (el) {\n", | |
| " // this is important to make the div 'focusable\n", | |
| " el.setAttribute('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", | |
| " } else {\n", | |
| " // location in version 2\n", | |
| " IPython.keyboard_manager.register_events(el);\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", | |
| "\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", | |
| "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(\n", | |
| " 'matplotlib',\n", | |
| " mpl.mpl_figure_comm\n", | |
| " );\n", | |
| "}\n" | |
| ], | |
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\" width=\"800\">" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| }, | |
| { | |
| "data": { | |
| "application/javascript": [ | |
| "/* Put everything inside the global mpl namespace */\n", | |
| "/* global mpl */\n", | |
| "window.mpl = {};\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(\n", | |
| " '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", | |
| "\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 = document.createElement('div');\n", | |
| " this.root.setAttribute('style', 'display: inline-block');\n", | |
| " this._root_extra_style(this.root);\n", | |
| "\n", | |
| " parent_element.appendChild(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 (fig.ratio !== 1) {\n", | |
| " fig.send_message('set_dpi_ratio', { dpi_ratio: fig.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", | |
| " fig.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 = document.createElement('div');\n", | |
| " titlebar.classList =\n", | |
| " 'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n", | |
| " var titletext = document.createElement('div');\n", | |
| " titletext.classList = 'ui-dialog-title';\n", | |
| " titletext.setAttribute(\n", | |
| " 'style',\n", | |
| " 'width: 100%; text-align: center; padding: 3px;'\n", | |
| " );\n", | |
| " titlebar.appendChild(titletext);\n", | |
| " this.root.appendChild(titlebar);\n", | |
| " this.header = titletext;\n", | |
| "};\n", | |
| "\n", | |
| "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n", | |
| "\n", | |
| "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n", | |
| "\n", | |
| "mpl.figure.prototype._init_canvas = function () {\n", | |
| " var fig = this;\n", | |
| "\n", | |
| " var canvas_div = (this.canvas_div = document.createElement('div'));\n", | |
| " canvas_div.setAttribute(\n", | |
| " 'style',\n", | |
| " 'border: 1px solid #ddd;' +\n", | |
| " 'box-sizing: content-box;' +\n", | |
| " 'clear: both;' +\n", | |
| " 'min-height: 1px;' +\n", | |
| " 'min-width: 1px;' +\n", | |
| " 'outline: 0;' +\n", | |
| " 'overflow: hidden;' +\n", | |
| " 'position: relative;' +\n", | |
| " 'resize: both;'\n", | |
| " );\n", | |
| "\n", | |
| " function on_keyboard_event_closure(name) {\n", | |
| " return function (event) {\n", | |
| " return fig.key_event(event, name);\n", | |
| " };\n", | |
| " }\n", | |
| "\n", | |
| " canvas_div.addEventListener(\n", | |
| " 'keydown',\n", | |
| " on_keyboard_event_closure('key_press')\n", | |
| " );\n", | |
| " canvas_div.addEventListener(\n", | |
| " 'keyup',\n", | |
| " on_keyboard_event_closure('key_release')\n", | |
| " );\n", | |
| "\n", | |
| " this._canvas_extra_style(canvas_div);\n", | |
| " this.root.appendChild(canvas_div);\n", | |
| "\n", | |
| " var canvas = (this.canvas = document.createElement('canvas'));\n", | |
| " canvas.classList.add('mpl-canvas');\n", | |
| " canvas.setAttribute('style', 'box-sizing: content-box;');\n", | |
| "\n", | |
| " this.context = canvas.getContext('2d');\n", | |
| "\n", | |
| " var backingStore =\n", | |
| " this.context.backingStorePixelRatio ||\n", | |
| " this.context.webkitBackingStorePixelRatio ||\n", | |
| " this.context.mozBackingStorePixelRatio ||\n", | |
| " this.context.msBackingStorePixelRatio ||\n", | |
| " this.context.oBackingStorePixelRatio ||\n", | |
| " this.context.backingStorePixelRatio ||\n", | |
| " 1;\n", | |
| "\n", | |
| " this.ratio = (window.devicePixelRatio || 1) / backingStore;\n", | |
| "\n", | |
| " var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n", | |
| " 'canvas'\n", | |
| " ));\n", | |
| " rubberband_canvas.setAttribute(\n", | |
| " 'style',\n", | |
| " 'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n", | |
| " );\n", | |
| "\n", | |
| " // Apply a ponyfill if ResizeObserver is not implemented by browser.\n", | |
| " if (this.ResizeObserver === undefined) {\n", | |
| " if (window.ResizeObserver !== undefined) {\n", | |
| " this.ResizeObserver = window.ResizeObserver;\n", | |
| " } else {\n", | |
| " var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n", | |
| " this.ResizeObserver = obs.ResizeObserver;\n", | |
| " }\n", | |
| " }\n", | |
| "\n", | |
| " this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n", | |
| " var nentries = entries.length;\n", | |
| " for (var i = 0; i < nentries; i++) {\n", | |
| " var entry = entries[i];\n", | |
| " var width, height;\n", | |
| " if (entry.contentBoxSize) {\n", | |
| " if (entry.contentBoxSize instanceof Array) {\n", | |
| " // Chrome 84 implements new version of spec.\n", | |
| " width = entry.contentBoxSize[0].inlineSize;\n", | |
| " height = entry.contentBoxSize[0].blockSize;\n", | |
| " } else {\n", | |
| " // Firefox implements old version of spec.\n", | |
| " width = entry.contentBoxSize.inlineSize;\n", | |
| " height = entry.contentBoxSize.blockSize;\n", | |
| " }\n", | |
| " } else {\n", | |
| " // Chrome <84 implements even older version of spec.\n", | |
| " width = entry.contentRect.width;\n", | |
| " height = entry.contentRect.height;\n", | |
| " }\n", | |
| "\n", | |
| " // Keep the size of the canvas and rubber band canvas in sync with\n", | |
| " // the canvas container.\n", | |
| " if (entry.devicePixelContentBoxSize) {\n", | |
| " // Chrome 84 implements new version of spec.\n", | |
| " canvas.setAttribute(\n", | |
| " 'width',\n", | |
| " entry.devicePixelContentBoxSize[0].inlineSize\n", | |
| " );\n", | |
| " canvas.setAttribute(\n", | |
| " 'height',\n", | |
| " entry.devicePixelContentBoxSize[0].blockSize\n", | |
| " );\n", | |
| " } else {\n", | |
| " canvas.setAttribute('width', width * fig.ratio);\n", | |
| " canvas.setAttribute('height', height * fig.ratio);\n", | |
| " }\n", | |
| " canvas.setAttribute(\n", | |
| " 'style',\n", | |
| " 'width: ' + width + 'px; height: ' + height + 'px;'\n", | |
| " );\n", | |
| "\n", | |
| " rubberband_canvas.setAttribute('width', width);\n", | |
| " rubberband_canvas.setAttribute('height', height);\n", | |
| "\n", | |
| " // And update the size in Python. We ignore the initial 0/0 size\n", | |
| " // that occurs as the element is placed into the DOM, which should\n", | |
| " // otherwise not happen due to the minimum size styling.\n", | |
| " if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n", | |
| " fig.request_resize(width, height);\n", | |
| " }\n", | |
| " }\n", | |
| " });\n", | |
| " this.resizeObserverInstance.observe(canvas_div);\n", | |
| "\n", | |
| " function on_mouse_event_closure(name) {\n", | |
| " return function (event) {\n", | |
| " return fig.mouse_event(event, name);\n", | |
| " };\n", | |
| " }\n", | |
| "\n", | |
| " rubberband_canvas.addEventListener(\n", | |
| " 'mousedown',\n", | |
| " on_mouse_event_closure('button_press')\n", | |
| " );\n", | |
| " rubberband_canvas.addEventListener(\n", | |
| " 'mouseup',\n", | |
| " on_mouse_event_closure('button_release')\n", | |
| " );\n", | |
| " rubberband_canvas.addEventListener(\n", | |
| " 'dblclick',\n", | |
| " on_mouse_event_closure('dblclick')\n", | |
| " );\n", | |
| " // Throttle sequential mouse events to 1 every 20ms.\n", | |
| " rubberband_canvas.addEventListener(\n", | |
| " 'mousemove',\n", | |
| " on_mouse_event_closure('motion_notify')\n", | |
| " );\n", | |
| "\n", | |
| " rubberband_canvas.addEventListener(\n", | |
| " 'mouseenter',\n", | |
| " on_mouse_event_closure('figure_enter')\n", | |
| " );\n", | |
| " rubberband_canvas.addEventListener(\n", | |
| " 'mouseleave',\n", | |
| " on_mouse_event_closure('figure_leave')\n", | |
| " );\n", | |
| "\n", | |
| " canvas_div.addEventListener('wheel', function (event) {\n", | |
| " if (event.deltaY < 0) {\n", | |
| " event.step = 1;\n", | |
| " } else {\n", | |
| " event.step = -1;\n", | |
| " }\n", | |
| " on_mouse_event_closure('scroll')(event);\n", | |
| " });\n", | |
| "\n", | |
| " canvas_div.appendChild(canvas);\n", | |
| " canvas_div.appendChild(rubberband_canvas);\n", | |
| "\n", | |
| " this.rubberband_context = rubberband_canvas.getContext('2d');\n", | |
| " this.rubberband_context.strokeStyle = '#000000';\n", | |
| "\n", | |
| " this._resize_canvas = function (width, height, forward) {\n", | |
| " if (forward) {\n", | |
| " canvas_div.style.width = width + 'px';\n", | |
| " canvas_div.style.height = height + 'px';\n", | |
| " }\n", | |
| " };\n", | |
| "\n", | |
| " // Disable right mouse context menu.\n", | |
| " this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n", | |
| " event.preventDefault();\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 toolbar = document.createElement('div');\n", | |
| " toolbar.classList = 'mpl-toolbar';\n", | |
| " this.root.appendChild(toolbar);\n", | |
| "\n", | |
| " function on_click_closure(name) {\n", | |
| " return function (_event) {\n", | |
| " return fig.toolbar_button_onclick(name);\n", | |
| " };\n", | |
| " }\n", | |
| "\n", | |
| " function on_mouseover_closure(tooltip) {\n", | |
| " return function (event) {\n", | |
| " if (!event.currentTarget.disabled) {\n", | |
| " return fig.toolbar_button_onmouseover(tooltip);\n", | |
| " }\n", | |
| " };\n", | |
| " }\n", | |
| "\n", | |
| " fig.buttons = {};\n", | |
| " var buttonGroup = document.createElement('div');\n", | |
| " buttonGroup.classList = 'mpl-button-group';\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", | |
| " /* Instead of a spacer, we start a new button group. */\n", | |
| " if (buttonGroup.hasChildNodes()) {\n", | |
| " toolbar.appendChild(buttonGroup);\n", | |
| " }\n", | |
| " buttonGroup = document.createElement('div');\n", | |
| " buttonGroup.classList = 'mpl-button-group';\n", | |
| " continue;\n", | |
| " }\n", | |
| "\n", | |
| " var button = (fig.buttons[name] = document.createElement('button'));\n", | |
| " button.classList = 'mpl-widget';\n", | |
| " button.setAttribute('role', 'button');\n", | |
| " button.setAttribute('aria-disabled', 'false');\n", | |
| " button.addEventListener('click', on_click_closure(method_name));\n", | |
| " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", | |
| "\n", | |
| " var icon_img = document.createElement('img');\n", | |
| " icon_img.src = '_images/' + image + '.png';\n", | |
| " icon_img.srcset = '_images/' + image + '_large.png 2x';\n", | |
| " icon_img.alt = tooltip;\n", | |
| " button.appendChild(icon_img);\n", | |
| "\n", | |
| " buttonGroup.appendChild(button);\n", | |
| " }\n", | |
| "\n", | |
| " if (buttonGroup.hasChildNodes()) {\n", | |
| " toolbar.appendChild(buttonGroup);\n", | |
| " }\n", | |
| "\n", | |
| " var fmt_picker = document.createElement('select');\n", | |
| " fmt_picker.classList = 'mpl-widget';\n", | |
| " toolbar.appendChild(fmt_picker);\n", | |
| " this.format_dropdown = fmt_picker;\n", | |
| "\n", | |
| " for (var ind in mpl.extensions) {\n", | |
| " var fmt = mpl.extensions[ind];\n", | |
| " var option = document.createElement('option');\n", | |
| " option.selected = fmt === mpl.default_extension;\n", | |
| " option.innerHTML = fmt;\n", | |
| " fmt_picker.appendChild(option);\n", | |
| " }\n", | |
| "\n", | |
| " var status_bar = document.createElement('span');\n", | |
| " status_bar.classList = 'mpl-message';\n", | |
| " toolbar.appendChild(status_bar);\n", | |
| " this.message = status_bar;\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", | |
| "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", | |
| "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], msg['forward']);\n", | |
| " fig.send_message('refresh', {});\n", | |
| " }\n", | |
| "};\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n", | |
| " var x0 = msg['x0'] / fig.ratio;\n", | |
| " var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n", | |
| " var x1 = msg['x1'] / fig.ratio;\n", | |
| " var y1 = (fig.canvas.height - msg['y1']) / fig.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,\n", | |
| " 0,\n", | |
| " fig.canvas.width / fig.ratio,\n", | |
| " fig.canvas.height / fig.ratio\n", | |
| " );\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", | |
| " 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.handle_history_buttons = function (fig, msg) {\n", | |
| " for (var key in msg) {\n", | |
| " if (!(key in fig.buttons)) {\n", | |
| " continue;\n", | |
| " }\n", | |
| " fig.buttons[key].disabled = !msg[key];\n", | |
| " fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n", | |
| " }\n", | |
| "};\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n", | |
| " if (msg['mode'] === 'PAN') {\n", | |
| " fig.buttons['Pan'].classList.add('active');\n", | |
| " fig.buttons['Zoom'].classList.remove('active');\n", | |
| " } else if (msg['mode'] === 'ZOOM') {\n", | |
| " fig.buttons['Pan'].classList.remove('active');\n", | |
| " fig.buttons['Zoom'].classList.add('active');\n", | |
| " } else {\n", | |
| " fig.buttons['Pan'].classList.remove('active');\n", | |
| " fig.buttons['Zoom'].classList.remove('active');\n", | |
| " }\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", | |
| " var img = evt.data;\n", | |
| " if (img.type !== 'image/png') {\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", | |
| " img.type = 'image/png';\n", | |
| " }\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", | |
| "\n", | |
| " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n", | |
| " img\n", | |
| " );\n", | |
| " fig.updated_canvas_event();\n", | |
| " fig.waiting = false;\n", | |
| " return;\n", | |
| " } else if (\n", | |
| " typeof evt.data === 'string' &&\n", | |
| " evt.data.slice(0, 21) === 'data:image/png;base64'\n", | |
| " ) {\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(\n", | |
| " \"No handler for the '\" + msg_type + \"' message type: \",\n", | |
| " msg\n", | |
| " );\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(\n", | |
| " \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n", | |
| " e,\n", | |
| " e.stack,\n", | |
| " msg\n", | |
| " );\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", | |
| " }\n", | |
| " if (e.target) {\n", | |
| " targ = e.target;\n", | |
| " } else if (e.srcElement) {\n", | |
| " targ = e.srcElement;\n", | |
| " }\n", | |
| " if (targ.nodeType === 3) {\n", | |
| " // defeat Safari bug\n", | |
| " targ = targ.parentNode;\n", | |
| " }\n", | |
| "\n", | |
| " // pageX,Y are the mouse positions relative to the document\n", | |
| " var boundingRect = targ.getBoundingClientRect();\n", | |
| " var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n", | |
| " var y = e.pageY - (boundingRect.top + document.body.scrollTop);\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", | |
| " }\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", | |
| " this.canvas.focus();\n", | |
| " this.canvas_div.focus();\n", | |
| " }\n", | |
| "\n", | |
| " var x = canvas_pos.x * this.ratio;\n", | |
| " var y = canvas_pos.y * this.ratio;\n", | |
| "\n", | |
| " this.send_message(name, {\n", | |
| " x: x,\n", | |
| " y: y,\n", | |
| " button: event.button,\n", | |
| " step: event.step,\n", | |
| " guiEvent: simpleKeys(event),\n", | |
| " });\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", | |
| " // Prevent repeat events\n", | |
| " if (name === 'key_press') {\n", | |
| " if (event.key === this._key) {\n", | |
| " return;\n", | |
| " } else {\n", | |
| " this._key = event.key;\n", | |
| " }\n", | |
| " }\n", | |
| " if (name === 'key_release') {\n", | |
| " this._key = null;\n", | |
| " }\n", | |
| "\n", | |
| " var value = '';\n", | |
| " if (event.ctrlKey && event.key !== 'Control') {\n", | |
| " value += 'ctrl+';\n", | |
| " }\n", | |
| " else if (event.altKey && event.key !== 'Alt') {\n", | |
| " value += 'alt+';\n", | |
| " }\n", | |
| " else if (event.shiftKey && event.key !== 'Shift') {\n", | |
| " value += 'shift+';\n", | |
| " }\n", | |
| "\n", | |
| " value += 'k' + event.key;\n", | |
| "\n", | |
| " this._key_event_extra(event, name);\n", | |
| "\n", | |
| " this.send_message(name, { key: value, 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", | |
| "\n", | |
| "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n", | |
| "// prettier-ignore\n", | |
| "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\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\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n", | |
| "\n", | |
| "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n", | |
| "\n", | |
| "mpl.default_extension = \"png\";/* global mpl */\n", | |
| "\n", | |
| "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.binaryType = comm.kernel.ws.binaryType;\n", | |
| " ws.readyState = comm.kernel.ws.readyState;\n", | |
| " function updateReadyState(_event) {\n", | |
| " if (comm.kernel.ws) {\n", | |
| " ws.readyState = comm.kernel.ws.readyState;\n", | |
| " } else {\n", | |
| " ws.readyState = 3; // Closed state.\n", | |
| " }\n", | |
| " }\n", | |
| " comm.kernel.ws.addEventListener('open', updateReadyState);\n", | |
| " comm.kernel.ws.addEventListener('close', updateReadyState);\n", | |
| " comm.kernel.ws.addEventListener('error', updateReadyState);\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", | |
| " var data = msg['content']['data'];\n", | |
| " if (data['blob'] !== undefined) {\n", | |
| " data = {\n", | |
| " data: new Blob(msg['buffers'], { type: data['blob'] }),\n", | |
| " };\n", | |
| " }\n", | |
| " // Pass the mpl event to the overridden (by mpl) onmessage function.\n", | |
| " ws.onmessage(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 = document.getElementById(id);\n", | |
| " var ws_proxy = comm_websocket_adapter(comm);\n", | |
| "\n", | |
| " function ondownload(figure, _format) {\n", | |
| " window.open(figure.canvas.toDataURL());\n", | |
| " }\n", | |
| "\n", | |
| " var fig = new mpl.figure(id, ws_proxy, ondownload, element);\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;\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", | |
| " fig.cell_info[0].output_area.element.on(\n", | |
| " 'cleared',\n", | |
| " { fig: fig },\n", | |
| " fig._remove_fig_handler\n", | |
| " );\n", | |
| "};\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_close = function (fig, msg) {\n", | |
| " var width = fig.canvas.width / fig.ratio;\n", | |
| " fig.cell_info[0].output_area.element.off(\n", | |
| " 'cleared',\n", | |
| " fig._remove_fig_handler\n", | |
| " );\n", | |
| " fig.resizeObserverInstance.unobserve(fig.canvas_div);\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.innerHTML =\n", | |
| " '<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 / this.ratio;\n", | |
| " var dataURL = this.canvas.toDataURL();\n", | |
| " this.cell_info[1]['text/html'] =\n", | |
| " '<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 () {\n", | |
| " fig.push_to_output();\n", | |
| " }, 1000);\n", | |
| "};\n", | |
| "\n", | |
| "mpl.figure.prototype._init_toolbar = function () {\n", | |
| " var fig = this;\n", | |
| "\n", | |
| " var toolbar = document.createElement('div');\n", | |
| " toolbar.classList = 'btn-toolbar';\n", | |
| " this.root.appendChild(toolbar);\n", | |
| "\n", | |
| " function on_click_closure(name) {\n", | |
| " return function (_event) {\n", | |
| " return fig.toolbar_button_onclick(name);\n", | |
| " };\n", | |
| " }\n", | |
| "\n", | |
| " function on_mouseover_closure(tooltip) {\n", | |
| " return function (event) {\n", | |
| " if (!event.currentTarget.disabled) {\n", | |
| " return fig.toolbar_button_onmouseover(tooltip);\n", | |
| " }\n", | |
| " };\n", | |
| " }\n", | |
| "\n", | |
| " fig.buttons = {};\n", | |
| " var buttonGroup = document.createElement('div');\n", | |
| " buttonGroup.classList = 'btn-group';\n", | |
| " var button;\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", | |
| " /* Instead of a spacer, we start a new button group. */\n", | |
| " if (buttonGroup.hasChildNodes()) {\n", | |
| " toolbar.appendChild(buttonGroup);\n", | |
| " }\n", | |
| " buttonGroup = document.createElement('div');\n", | |
| " buttonGroup.classList = 'btn-group';\n", | |
| " continue;\n", | |
| " }\n", | |
| "\n", | |
| " button = fig.buttons[name] = document.createElement('button');\n", | |
| " button.classList = 'btn btn-default';\n", | |
| " button.href = '#';\n", | |
| " button.title = name;\n", | |
| " button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n", | |
| " button.addEventListener('click', on_click_closure(method_name));\n", | |
| " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", | |
| " buttonGroup.appendChild(button);\n", | |
| " }\n", | |
| "\n", | |
| " if (buttonGroup.hasChildNodes()) {\n", | |
| " toolbar.appendChild(buttonGroup);\n", | |
| " }\n", | |
| "\n", | |
| " // Add the status bar.\n", | |
| " var status_bar = document.createElement('span');\n", | |
| " status_bar.classList = 'mpl-message pull-right';\n", | |
| " toolbar.appendChild(status_bar);\n", | |
| " this.message = status_bar;\n", | |
| "\n", | |
| " // Add the close button to the window.\n", | |
| " var buttongrp = document.createElement('div');\n", | |
| " buttongrp.classList = 'btn-group inline pull-right';\n", | |
| " button = document.createElement('button');\n", | |
| " button.classList = 'btn btn-mini btn-primary';\n", | |
| " button.href = '#';\n", | |
| " button.title = 'Stop Interaction';\n", | |
| " button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n", | |
| " button.addEventListener('click', function (_evt) {\n", | |
| " fig.handle_close(fig, {});\n", | |
| " });\n", | |
| " button.addEventListener(\n", | |
| " 'mouseover',\n", | |
| " on_mouseover_closure('Stop Interaction')\n", | |
| " );\n", | |
| " buttongrp.appendChild(button);\n", | |
| " var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n", | |
| " titlebar.insertBefore(buttongrp, titlebar.firstChild);\n", | |
| "};\n", | |
| "\n", | |
| "mpl.figure.prototype._remove_fig_handler = function (event) {\n", | |
| " var fig = event.data.fig;\n", | |
| " if (event.target !== this) {\n", | |
| " // Ignore bubbled events from children.\n", | |
| " return;\n", | |
| " }\n", | |
| " fig.close_ws(fig, {});\n", | |
| "};\n", | |
| "\n", | |
| "mpl.figure.prototype._root_extra_style = function (el) {\n", | |
| " el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n", | |
| "};\n", | |
| "\n", | |
| "mpl.figure.prototype._canvas_extra_style = function (el) {\n", | |
| " // this is important to make the div 'focusable\n", | |
| " el.setAttribute('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", | |
| " } else {\n", | |
| " // location in version 2\n", | |
| " IPython.keyboard_manager.register_events(el);\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", | |
| "\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", | |
| "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(\n", | |
| " 'matplotlib',\n", | |
| " mpl.mpl_figure_comm\n", | |
| " );\n", | |
| "}\n" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.Javascript object>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| }, | |
| { | |
| "data": { | |
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ddddF5tttlkWHkyYMCHSPiFpVsiajjlz5tRbZdq0aVn56rNNalfee++9s5Al7QFS+0ghxtoeaZmsdu3aZUtfFZ6RZn3cdNNNhUs/CRAgQIAAAQIECBAgQIAAAQIEciBgCawcDIIuECBAIA8CaSbFsmXL6nRlm222iU033bSm/F//+lc8/vjj2fXChQvjxRdfjBQopH060oyIFIQUjrRXx9lnnx1f+MIXsiWvCuX9+vXLypuyFNaQIUOyZabS3hw77LBDpE3H//SnP8V3v/vdbAP0FLg0dBx11FHZMllHHHFEfOtb34ptt9022xD9N7/5TdakTZvm/z2AAw88MC677LI4/PDD48tf/nK278ell14aaaksBwECBAgQIECAAAECBAgQIECAQH4EBCD5GQs9IUCAwDoVSMtU1XekfS7SclWF45FHHok999wz0kyItNzV5ptvHrvvvnt8/etfz/bGKNRLQcXRRx+dbRR+zTXXFIprfqalsNK+GenZzz77bLZZec3NWifpuXfeeWcWZKTZIEuWLIkePXpk+4ekjdDT3iUNHal/acPyUaNGxZgxY7I+p/07rr322jjggAOiW7duDTVtsPyTn/xk3HDDDXHxxRdnG6an9//Sl76UzW457rjjGmznBgECBAgQIECAAAECBAgQIECAQGUFqqrXZl9Z2a/0bQQIECBAYN0KXHjhhVlgM2vWrGx2ybrtjW8nQIDA+iVQHaBXrV9v7G0JECBAgAABAgQIEFhXAmaArCt530uAAAECFRG4+uqrs+9Jy2e9++672YyQ733ve5GWxdpiiy0q0gdfQoAAAQIECBAgQIAAAQIECBAgUHkBAUjlzX0jAQIECFRQoHPnztnyWS+//HK2fNaWW24ZZ511VjYDpILd8FUECBAgQIAAAQIECBAgQIAAAQIVFrAEVoXBfR0BAgQIECBAgACB9VnAEljr8+h7dwIECBAgQIAAAQKVFWhT2a/zbQQIECBAgAABAgQIECBAgAABAgQIECBAgACB/7yAAOQ/b+wbCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgQoLCEAqDO7rCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgf+8gE3Qm2m8YsWKeP311+MDH/hAVK9f3MzWqhMgQIAAAQIECBBo2QIrV66MBQsWRM+ePaNNG3+fqmWPpt4TIECAAAECBAgQaN0CApBmjm8KP3r16tXMVqoTIECAAAECBAgQaF0Cs2fPji222KJ1vZS3IUCAAAECBAgQIECgVQkIQJo5nGnmRzrSf/B16dKlma1VJ0CAAAECBAgQINCyBd5+++3sLwQV/r24Zb+N3hMgQIAAAQIECBAg0JoFBCDNHN3Cslcp/BCANBNPdQIECBAgQIAAgVYjUPj34lbzQl6EAAECBAgQIECAAIFWJ2DR3lY3pF6IAAECBAgQIECAAAECBAgQIECAAAECBAgQEID4HSBAgAABAgQIECBAgAABAgQIECBAgAABAgRanYAApNUNqRciQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEBCB+BwgQIECAAAECBAgQIECAAAECBAgQIECAAIFWJyAAaXVD6oUIECBAgAABAgQIECBAgAABAgQIECBAgAABAYjfAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKDVCQhAWt2QeiECBAgQIECAAAECBAgQIECAAAECBAgQIEBAAOJ3gAABAgQIECBAgAABAgQIECBAgAABAgQIEGh1AgKQVjekXogAAQIECBAgQIAAAQIECBAgQIAAAQIECBAQgPgdIECAAAECBAgQIECAAAECBAgQIECAAAECBFqdgACk1Q2pFyJAgAABAgQIECBAgAABAgQIECBAgAABAgQEIH4HCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgVYnIABpdUPqhQgQIECAAAECBAgQIECAAAECBAgQIECAAAEBiN8BAgQIECBAgAABAgQIECBAgAABAgQIECBAoNUJCEBa3ZB6IQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKBFByAPPvhgHHTQQdGzZ8+oqqqKX/ziF2sc0QceeCD69+8fnTp1iv/6r/+K73//+2tsowIBAgQIECBAgAABAgQIECBAgAABAgQIECDQsgRadACycOHC6Nu3b1x99dVNUp85c2YccMABsddee8XUqVPj7LPPjlNPPTVuv/32JrVXiQABAgQIECBAgAABAgQIECBAgAABAgQIEGgZAu1aRjfr7+XQoUMjfZp6pNkeW265ZVxxxRVZkz59+sRTTz0Vl156aRx66KFNfYx6BAgQIECAAAECBAgQIECAAAECBAgQIECAQM4FWnQA0lzbxx57LAYPHlzUbMiQITF+/Ph49913o3379kX30sWSJUuyT+HG22+/vep01KiIDh0KxWv3s3rZrhg2LGLffeu2X7kyqpOZVd9RPUuleo2v9+q8+GLE9ddH9VSWiIcfjjj44IiPfey9+/WdvflmxGWXRey3X8T++9dXo+GyO+6ImDIlYsyYiK5dG65X353qgCm+9rWIdtW/asccEzF8eH21IiZMiHj66VUW1UubxRFHROy6a/11K12aZghVzxjK3r9Ll0p/+/rxfT/6UcQbb0ScdVZU/w9x/Xjn1vSWN98c8dJLq8avc+fW9GbehQABAgQIECBAgAABAgQIECBAoAULVK2sPlpw/2u6nvYAmTRpUnUWUB0GNHBsv/32cfTRR2dLXxWqPProozFo0KB4/fXXo0ePHoXimp/nnXdenH/++TXXhZP51Sdl+aPw7bZb9QeHhQcXfqbAYcCAVVd/+UvEhz5UuBOxzz4R1XuZ1BwbbBDxzjs1l/WenHZaxPe+t+pWc4e8EL6kAGX06Hof32Bh9YybmD37vdvVgVKd4Oif/4zYaKP36qSz6v1ZYvr04rJ1cbViRUTbtqu++aqrIk45ZV30onV/51tvRXTvvuod7723+QFd69bJ/9stWhSR/j8oHbfcEjFixKpz/yRAgACBViuQ/kJQ1+q/FDN//vzoshZ/OaT639tr/c2eVsvkxQgQIECAAAECBAgQyIFA9V/LX7+O1f97q5D/rF5eUBk7dmycfvrphctI/8HXq1evqE5Ronon9ZryZp9UBy7VO7BHpD88rO+oXV77PNVNsz5qH9V7oazxmDFjjVXWWOHvf19jlToVaocf6eby5XWqVE+xqVtWjv7WfWppJfPmldZe6/oFFi9+r3z13/X37jjLq0D17LmaY8GCmlMnBAgQIECAAAECBAgQIECAAAECBNa1wHoVgHzwgx+sXmWnepmdWsdb1X/7vF318kwbb7xxrdL3Tjt27BjpU+dIS/Wsxd94q3lOWlIpBSAOAgQIECBAgAABAgQIECBAgAABAgQIECBAoOwCbcr+xBw/cM8994z77ruvqIf3Vi+5M6B6qan69v8oquiCAAECBAgQIECAAAECBAgQIECAAAECBAgQaDECLToAead634s//elP2SeJz5w5MzufNWtWNgBp+aqRI0fWDMaJJ54Yr7zySrak1bRp0+KGG27INkA/88wza+o4IUCAAAECBAgQIECAAAECBAgQIECAAAECBFq+QIteAuupp56KT3ziEzWjUNir46ijjooJEybEnDlzohCGpEpbb711TJ48uXof79FxzTXXRM+ePav3Bf9eHHrooTXPcEKAAAECBAgQIECAAAECBAgQIECAAAECBAi0fIEWHYDss88+UdjEvL6hSCHI6sfee+8dTz/99OrFrgkQIECAAAECBAgQIECAAAECBAgQIECAAIFWJNCil8BqRePgVQgQIECAAAECBAgQIECAAAECBAgQIECAAIEyCghAyojpUQQIECBAgAABAgQIECBAgAABAgQIECBAgEA+BAQg+RgHvSBAgAABAgQIECBAgAABAgQIECBAgAABAgTKKCAAKSOmRxEgQIAAAQIECBAgQIAAAQIECBAgQIAAAQL5EBCA5GMc9IIAAQIECBAgQIAAAQIECBAgQIAAAQIECBAoo4AApIyYHkWAAAECBAgQIECAAAECBAgQIECAAAECBAjkQ0AAko9x0AsCBAgQIECAAAECBAgQIECAAAECBAgQIECgjAICkDJiehQBAgQIECBAgAABAgQIECBAgAABAgQIECCQDwEBSD7GQS8IECBAgAABAgQIECBAgAABAgQIECBAgACBMgoIQMqI6VEECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAPgQEIPkYB70gQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEyiggACkjpkcRIECAAAECBAgQIECAAAECBAgQIECAAAEC+RAQgORjHPSCAAECBAgQIECAAAECBAgQIECAAAECBAgQKKOAAKSMmB5FgAABAgQIECBAgAABAgQIECBAgAABAgQI5ENAAJKPcdALAgQIECBAgAABAgQIECBAgAABAgQIECBAoIwCApAyYnoUAQIECBAgQIAAAQIECBAgQIAAAQIECBAgkA8BAUg+xkEvCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgTIKCEDKiOlRBAgQIECAAAECBAgQIECAAAECBAgQIECAQD4EBCD5GAe9IECAAAECBAgQIECAAAECBAgQIECAAAECBMooIAApI6ZHESBAgAABAgQIECBAgAABAgQIECBAgAABAvkQEIDkYxz0ggABAgQIECBAgAABAgQIECBAgAABAgQIECijgACkjJgeRYAAAQIECBAgQIAAAQIECBAgQIAAAQIECORDQACSj3HQCwIECBAgQIAAAQIECBAgQIAAAQIECBAgQKCMAgKQMmJ6FAECBAgQIECAAAECBAgQIECAAAECBAgQIJAPAQFIPsZBLwgQIECAAAECBAgQIECAAAECBAgQIECAAIEyCghAyojpUQQIECBAgAABAgQIECBAgAABAgQIECBAgEA+BAQg+RgHvSBAgAABAgQIECBAgAABAgQIECBAgAABAgTKKCAAKSOmRxEgQIAAAQIECBAgQIAAAQIECBAgQIAAAQL5EBCA5GMc9IIAAQIECBAgQIAAAQIECBAgQIAAAQIECBAoo4AApIyYHkWAAAECBAgQIECAAAECBAgQIECAAAECBAjkQ0AAko9x0AsCBAgQIECAAAECBAgQIECAAAECBAgQIECgjAICkDJiehQBAgQIECBAgAABAgQIECBAgAABAgQIECCQDwEBSD7GQS8IECBAgAABAgQIECBAgAABAgQIECBAgACBMgoIQMqI6VEECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAPgQEIPkYB70gQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEyiggACkjpkcRIECAAAECBAgQIECAAAECBAgQIECAAAEC+RAQgORjHPSCAAECBAgQIECAAAECBAgQIECAAAECBAgQKKOAAKSMmB5FgAABAgQIECBAgAABAgQIECBAgAABAgQI5ENAAJKPcdALAgQIECBAgAABAgQIECBAgAABAgQIECBAoIwCApAyYnoUAQIECBAgQIAAAQIECBAgQIAAAQIECBAgkA8BAUg+xkEvCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgTIKCEDKiOlRBAgQIECAAAECBAgQIECAAAECBAgQIECAQD4EBCD5GAe9IECAAAECBAgQIECAAAECBAgQIECAAAECBMooIAApI6ZHESBAgAABAgQIECBAgAABAgQIECBAgAABAvkQEIDkYxz0ggABAgQIECBAgAABAgQIECBAgAABAgQIECijgACkjJgeRYAAAQIECBAgQIAAAQIECBAgQIAAAQIECORDQACSj3HQCwIECBAgQIAAAQIECBAgQIAAAQIECBAgQKCMAgKQMmJ6FAECBAgQIECAAAECBAgQIECAAAECBAgQIJAPAQFIPsZBLwgQIECAAAECBAgQIECAAAECBAgQIECAAIEyCghAyojpUQQIECBAgAABAgQIECBAgAABAgQIECBAgEA+BAQg+RgHvSBAgAABAgQIECBAgAABAgQIECBAgAABAgTKKCAAKSOmRxEgQIAAAQIECBAgQIAAAQIECBAgQIAAAQL5EBCA5GMc9IIAAQIECBAgQIAAAQIECBAgQIAAAQIECBAoo4AApIyYHkWAAAECBAgQIECAAAECBAgQIECAAAECBAjkQ0AAko9x0AsCBAgQIECAAAECBAgQIECAAAECBAgQIECgjAICkDJiehQBAgQIECBAgAABAgQIECBAgAABAgQIECCQDwEBSD7GQS8IECBAgAABAgQIECBAgAABAgQIECBAgACBMgoIQMqI6VEECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAPgQEIPkYB70gQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEyiggACkjpkcRIECAAAECBAgQIECAAAECBAgQIECAAAEC+RAQgORjHPSCAAECBAgQIECAAAECBAgQIECAAAECBAgQKKOAAKSMmB5FgAABAgQIECBAgAABAgQIECBAgAABAgQI5ENAAJKPcdALAgQIECBAgAABAgQIECBAgAABAgQIECBAoIwCApAyYnoUAQIECBAgQIAAAQIECBAgQIAAAQIECBAgkA8BAUg+xkEvCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgTIKCEDKiOlRBAgQIECAAAECBAgQIECAAAECBAgQIECAQD4EBCD5GAe9IECAAAECBAgQIECAAAECBAgQIECAAAECBMooIAApI6ZHESBAgAABAgQIECBAgAABAgQIECBAgAABAvkQEIDkYxz0ggABAgQIECBAgAABAgQIECBAgAABAgQIECijgACkjJgeRYAAAQIECBAgQIAAAQIECBAgQIAAAQIECORDQACSj3HQCwIECBAgQIAAAQIECBAgQIAAAQIECBAgQKCMAgKQMmJ6FAECBAgQIECAAAECBAgQIECAAAECBAgQIJAPAQFIPsZBLwgQIECAAAECBAgQIECAAAECBAgQIECAAIEyCghAyojpUQQIECBAgAABAgQIECBAgAABAgQIECBAgEA+BAQg+RgHvSBAgAABAgQIECBAgAABAgQIECBAgAABAgTKKCAAKSOmRxEgQIAAAQIECBAgQIAAAQIECBAgQIAAAQL5EBCA5GMc9IIAAQIECBAgQIAAAQIECBAgQIAAAQIECBAoo4AApIyYHkWAAAECBAgQIECAAAECBAgQIECAAAECBAjkQ6DFByDXXnttbL311tGpU6fo379/PPTQQ43K3nzzzdG3b9/o3Llz9OjRI4455piYN29eo23cJECAAAECBAgQIECAAAECBAgQIECAAAECBFqWQIsOQCZOnBijRo2Kc845J6ZOnRp77bVXDB06NGbNmlXvKDz88MMxcuTIOO644+L555+Pn//85/Hkk0/G8ccfX299hQQIECBAgAABAgQIECBAgAABAgQIECBAgEDLFGjRAchll12WhRkpwOjTp09cccUV0atXr7juuuvqHY3HH388ttpqqzj11FOzWSMf+9jH4oQTToinnnqq3voKCRAgQIAAAQIECBAgQIAAAQIECBAgQIAAgZYp0GIDkKVLl8aUKVNi8ODBRfLp+tFHHy0qK1wMHDgwXn311Zg8eXKsXLky3nzzzbjtttviwAMPLFTxkwABAgQIECBAgAABAgQIECBAgAABAgQIEGgFAi02AJk7d24sX748unfvXjQM6fqNN94oKitcpAAk7QEyfPjw6NChQ3zwgx+Mbt26xVVXXVWoUufnkiVL4u233y761KmkgAABAgQIECBAgAABAgQIECBAgAABAgQIEMiVQIsNQAqKVVVVhdPsZ5rZsXpZocILL7yQLX81bty4bPbIPffcEzNnzowTTzyxUKXOz4suuii6du1a80lLbDkIECBAgAABAgQIECBAgAABAgQIECBAgACBfAu02ABkk002ibZt29aZ7fHWW2/VmRVSGIIUZgwaNCi++tWvxi677BJDhgyJa6+9Nm644YaYM2dOoVrRz7Fjx8b8+fNrPrNnzy6674IAAQIECBAgQIAAAQIECBAgQIAAAQIECBDIn0CLDUDSElb9+/eP++67r0g1Xaelruo7Fi1aFG3aFL9yClHSkWaO1Hd07NgxunTpUvSpr54yAgQIECBAgAABAgQIECBAgAABAgQIECBAID8CxWlAfvrVpJ6cfvrp8aMf/SibwTFt2rQYPXp0zJo1q2ZJqzR7Y+TIkTXPOuigg+KOO+6I6667LmbMmBGPPPJItiTW7rvvHj179qyp54QAAQIECBAgQIAAAQIECBAgQIAAAQIECBBo2QLtWnL302bm8+bNiwsuuCBbwmqnnXaKyZMnR+/evbPXSstapUCkcBx99NGxYMGCuPrqq+OMM87INkD/5Cc/GRdffHGhip8ECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAKxBo0QFI8j/55JOzT31jMWHChDrFX/nKVyJ9HAQIECBAgAABAgQIECBAgAABAgQIECBAgEDrFWjRS2C13mHxZgQIECBAgAABAgQIECBAgAABAgQIECBAgEApAgKQUvS0JUCAAAECBAgQIECAAAECBAgQIECAAAECBHIpIADJ5bDoFAECBAgQIECAAAECBAgQIECAAAECBAgQIFCKgACkFD1tCRAgQIAAAQIECBAgQIAAAQIECBAgQIAAgVwKCEByOSw6RYAAAQIECBAgQIAAAQIECBAgQIAAAQIECJQiIAApRU9bAgQIECBAgAABAgQIECBAgAABAgQIECBAIJcCApBcDotOESBAgAABAgQIECBAgAABAgQIECBAgAABAqUICEBK0dOWAAECBAgQIECAAAECBAgQIECAAAECBAgQyKWAACSXw6JTBAgQIECAAAECBAgQIECAAAECBAgQIECAQCkCApBS9LQlQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEcikgAMnlsOgUAQIECBAgQIAAAQIECBAgQIAAAQIECBAgUIqAAKQUPW0JECBAgAABAgQIECBAgAABAgQIECBAgACBXAoIQHI5LDpFgAABAgQIECBAgAABAgQIECBAgAABAgQIlCIgAClFT1sCBAgQIECAAAECBAgQIECAAAECBAgQIEAglwICkFwOi04RIECAAAECBAgQIECAAAECBAgQIECAAAECpQgIQErR05YAAQIECBAgQIAAAQIECBAgQIAAAQIECBDIpYAAJJfDolMECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAKQICkFL0tCVAgAABAgQIECBAgAABAgQIECBAgAABAgRyKSAAyeWw6BQBAgQIECBAgAABAgQIECBAgAABAgQIECBQioAApBQ9bQkQIECAAAECBAgQIECAAAECBAgQIECAAIFcCghAcjksOkWAAAECBAgQIECAAAECBAgQIECAAAECBAiUIiAAKUVPWwIECBAgQIAAAQIECBAgQIAAAQIECBAgQCCXAgKQXA6LThEgQIAAAQIECBAgQIAAAQIECBAgQIAAAQKlCAhAStHTlgABAgQIECBAgAABAgQIECBAgAABAgQIEMilgAAkl8OiUwQIECBAgAABAgQIECBAgAABAgQIECBAgEApAgKQUvS0JUCAAAECBAgQIECAAAECBAgQIECAAAECBHIpIADJ5bDoFAECBAgQIECAAAECBAgQIECAAAECBAgQIFCKgACkFD1tCRAgQIAAAQIECBAgQIAAAQIECBAgQIAAgVwKCEByOSw6RYAAAQIECBAgQIAAAQIECBAgQIAAAQIECJQiIAApRU9bAgQIECBAgAABAgQIECBAgAABAgQIECBAIJcCApBcDotOESBAgAABAgQIECBAgAABAgQIECBAgAABAqUICEBK0dOWAAECBAgQIECAAAECBAgQIECAAAECBAgQyKWAACSXw6JTBAgQIECAAAECBAgQIECAAAECBAgQIECAQCkCApBS9LQlQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEcikgAMnlsOgUAQIECBAgQIAAAQIECBAgQIAAAQIECBAgUIqAAKQUPW0JECBAgAABAgQIECBAgAABAgQIECBAgACBXAoIQHI5LDpFgAABAgQIECBAgAABAgQIECBAgAABAgQIlCIgAClFT1sCBAgQIECAAAECBAgQIECAAAECBAgQIEAglwICkFwOi04RIECAAAECBAgQIECAAAECBAgQIECAAAECpQgIQErR05YAAQIECBAgQIAAAQIECBAgQIAAAQIECBDIpYAAJJfDolMECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAKQICkFL0tCVAgAABAgQIECBAgAABAgQIECBAgAABAgRyKSAAyeWw6BQBAgQIECBAgAABAgQIECBAgAABAgQIECBQioAApBQ9bQkQIECAAAECBAgQIECAAAECBAgQIECAAIFcCghAcjksOkWAAAECBAgQIECAAAECBAgQIECAAAECBAiUIiAAKUVPWwIECBAgQIAAAQIECBAgQIAAAQIECBAgQCCXAgKQXA6LThEgQIAAAQIECBAgQIAAAQIECBAgQIAAAQKlCAhAStHTlgABAgQIECBAgAABAgQIECBAgAABAgQIEMilgAAkl8OiUwQIECBAgAABAgQIECBAgAABAgQIECBAgEApAgKQUvS0JUCAAAECBAgQIECAAAECBAgQIECAAAECBHIpIADJ5bDoFAECBAgQIECAAAECBAgQIECAAAECBAgQIFCKgACkFD1tCRAgQIAAAQIECBAgQIAAAQIECBAgQIAAgVwKCEByOSw6RYAAAQIECBAgQIAAAQIECBAgQIAAAQIECJQiIAApRU9bAgQIECBAgAABAgQIECBAgAABAgQIECBAIJcCApBcDotOESBAgAABAgQIECBAgAABAgQIECBAgAABAqUICEBK0dOWAAECBAgQIECAAAECBAgQIECAAAECBAgQyKWAACSXw6JTBAgQIECAAAECBAgQIECAAAECBAgQIECAQCkCApBS9LQlQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEcikgAMnlsOgUAQIECBAgQIAAAQIECBAgQIAAAQIECBAgUIqAAKQUPW0JECBAgAABAgQIECBAgAABAgQIECBAgACBXAoIQHI5LDpFgAABAgQIECBAgAABAgQIECBAgAABAgQIlCIgAClFT1sCBAgQIECAAAECBAgQIECAAAECBAgQIEAglwICkFwOi04RIECAAAECBAgQIECAAAECBAgQIECAAAECpQgIQErR05YAAQIECBAgQIAAAQIECBAgQIAAAQIECBDIpYAAJJfDolMECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAKQICkFL0tCVAgAABAgQIECBAgAABAgQIECBAgAABAgRyKSAAyeWw6BQBAgQIECBAgAABAgQIECBAgAABAgQIECBQioAApBQ9bQkQIECAAAECBAgQIECAAAECBAgQIECAAIFcCghAcjksOkWAAAECBAgQIECAAAECBAgQIECAAAECBAiUIiAAKUVPWwIECBAgQIAAAQIECBAgQIAAAQIECBAgQCCXAgKQXA6LThEgQIAAAQIECBAgQIAAAQIECBAgQIAAAQKlCAhAStHTlgABAgQIECBAgAABAgQIECBAgAABAgQIEMilgAAkl8OiUwQIECBAgAABAgQIECBAgAABAgQIECBAgEApAgKQUvS0JUCAAAECBAgQIECAAAECBAgQIECAAAECBHIpIADJ5bDoFAECBAgQIECAAAECBAgQIECAAAECBAgQIFCKgACkFD1tCRAgQIAAAQIECBAgQIAAAQIECBAgQIAAgVwKtKtkr+bPnx+TJk2Khx56KF5++eVYtGhRbLrpprHrrrvGkCFDYuDAgZXsju8iQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEWqlARWaAzJkzJ770pS9Fjx494oILLoiFCxdGv379Yt99940tttgi7r///th///1jxx13jIkTJ7ZSaq9FgAABAgQIECBAgAABAgQIECBAgAABAgQIVEqgIjNA+vbtGyNHjow//vGPsdNOO9X7bosXL45f/OIXcdlll8Xs2bPjzDPPrLeeQgIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDAmgQqMgPk+eefj0svvbTB8CN18n3ve1+MGDEinnjiiTjqqKPW1O+a+9dee21svfXW0alTp+jfv3+2vFbNzXpOlixZEuecc0707t07OnbsGNtss03ccMMN9dRURIAAAQIECBAgQIAAAQIECBAgQIAAAQIECLRUgYrMAEn7fDTnaGr9tFzWqFGjIoUggwYNih/84AcxdOjQeOGFF2LLLbes9ysPO+ywePPNN2P8+PGx7bbbxltvvRXLli2rt65CAgQIECBAgAABAgQIECBAgAABAgQIECBAoGUKVGQGSG2aG2+8MX7961/XFI0ZMya6deuWbYD+yiuv1JQ35SQtl3XcccfF8ccfH3369IkrrrgievXqFdddd129ze+555544IEHYvLkybHffvvFVlttFbvvvrvN1+vVUkiAAAECBAgQIECAAAECBAgQIECAAAECBFquQMUDkAsvvDBb7iqRPfbYY3H11VfHJZdcEptsskmMHj26yZJLly6NKVOmxODBg4vapOtHH320qKxw8ctf/jIGDBiQfd/mm28e22+/fbbXSNp/pKEjLZn19ttvF30aqqucAAECBAgQIECAAAECBAgQIECAAAECBAgQyIdARZbAqv2qaYPztPRUOtKm58OGDYsvf/nL2RJW++yzT1belH/MnTs3li9fHt27dy+qnq7feOONorLCxYwZM+Lhhx/O9guZNGlSpGecfPLJ8Y9//KPBfUAuuuiiOP/88wuP8JMAAQIECBAgQIAAAQIECBAgQIAAAQIECBBoAQIVnwHy/ve/P+bNm5fR3HvvvdlSVOkibWLe2EyMhiyrqqqKbq1cuTJWLytUWLFiRXbv5ptvzpa+OuCAAyItozVhwoQGv3vs2LExf/78mk8KcBwECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAvgUqPgNk//33z/bs2HXXXeOll16KAw88MBN6/vnnsz05msqVlsxq27ZtndkeaVPz1WeFFJ7Zo0ePSEtfde3atVCU7R2SQpNXX301tttuu5rywknHjh0jfRwECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAyxGo+AyQa665Jvbcc8/4+9//HrfffntsvPHGmVbaz2PEiBFNluvQoUP0798/7rvvvqI26XrgwIFFZYWLQYMGxeuvvx7vvPNOoSgLYdq0aRNbbLFFTZkTAgQIECBAgAABAgQIECBAgAABAgQIECBAoGULVHwGSNpQ/Hvf+16k0KH2cd5550Vzl5c6/fTT48gjj8w2Nk+hyvXXXx+zZs2KE088MXt0Wr7qtddei5/85CfZ9eGHHx7f/OY345hjjsn29Uh7gHz1q1+NY489tmZj9tp9ck6AAAECBAgQIECAAAECBAgQIECAAAECBAi0TIGKByBbb711zJkzJzbbbLMisbQRebqXNjZv6jF8+PBsP5ELLrgge+ZOO+0UkydPjt69e2ePSN+TApHCkfYfSTNEvvKVr2ShSZp9cthhh8W3vvWtQhU/CRAgQIAAAQIECBAgQIAAAQIECBAgQIAAgVYgUPEAJO23Ud+RlqVKG6E39zj55JMjfeo70ubmqx877LBDnWWzVq/jmgABAgQIECBAgAABAgQIECBAgAABAgQIEGjZAhULQNJyVemoqqqKcePGRefOnWvk0qyPJ554Ivr161dT5oQAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgsLYCFQtApk6dmvUxzQB59tlnI21iXjjSed++fePMM88sFPlJgAABAgQIECBAgAABAgQIECBAgAABAgQIEFhrgYoFIPfff3/WybQB+ZVXXhldunRZ605rSIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBBoTKBiAUihEz/+8Y8Lp34SIECAAAECBAgQIECAAAECBAgQIECAAAECBP4jAhUPQBYuXBjf+c534ne/+1289dZbsWLFiqIXmzFjRtG1CwIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAcwUqHoAcf/zx8cADD8SRRx4ZPXr0yDZFb26n1SdAgAABAgQIECBAgAABAgQIECBAgAABAgQINCZQ8QDk7rvvjl//+tcxaNCgxvrlHgECBAgQIECAAAECBAgQIECAAAECBAgQIEBgrQXarHXLtWy44YYbxkYbbbSWrTUjQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECKxZoOIByDe/+c0YN25cLFq0aM29U4MAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgsBYCFV8C67vf/W5Mnz49unfvHltttVW0b9++qNtPP/100bULAgQIECBAgAABAgQIECBAgAABAgQIECBAgEBzBSoegBx88MHN7aP6BAgQIECAAAECBAgQIECAAAECBAgQIECAAIFmCVQ8ADn33HOb1UGVCRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQLNFaj4HiDN7aD6BAgQIECAAAECBAgQIECAAAECBAgQIECAAIHmClR8BkibNm2iqqqqwX4uX768wXtuECBAgAABAgQIECBAgAABAgQIECBAgAABAgSaIlDxAGTSpElF/Xr33Xdj6tSpceONN8b5559fdM8FAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQGBtBCoegHz2s5+t089hw4bFhz/84Zg4cWIcd9xxde4rIECAAAECBAgQIECAAAECBAgQIECAAAECBAg0RyA3e4Dsscce8dvf/rY5fVeXAAECBAgQIECAAAECBAgQIECAAAECBAgQIFCvQC4CkMWLF8dVV10VW2yxRb2dVEiAAAECBAgQIECAAAECBAgQIECAAAECBAgQaI5AxZfA2nDDDYs2QV+5cmUsWLAgOnfuHP/7v//bnL6rS4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBCoV6DiAcgVV1xR1JE2bdrEpptuGmkJrBSOOAgQIECAAAECBAgQIECAAAECBAgQIECAAAECpQpUPAA56qijSu2z9gQIECBAgAABAgQIECBAgAABAgQIECBAgACBRgUqHoCk3vzrX/+K8ePHx7Rp07LlsHbcccc49thjo2vXro121k0CBAgQIECAAAECBAgQIECAAAECBAgQIECAQFMEKr4J+lNPPRXbbLNNXH755fGPf/wj5s6dG5dddllW9vTTTzelz+oQIECAAAECBAgQIECAAAECBAgQIECAAAECBBoVqPgMkNGjR8dnPvOZ+OEPfxjt2q36+mXLlsXxxx8fo0aNigcffLDRDrtJgAABAgQIECBAgAABAgQIECBAgAABAgQIEFiTQMUDkDQDpHb4kTqYgpAxY8bEgAED1tRf9wkQIECAAAECBAgQIECAAAECBAgQIECAAAECaxSo+BJYXbp0iVmzZtXp2OzZs+MDH/hAnXIFBAgQIECAAAECBAgQIECAAAECBAgQIECAAIHmClQ8ABk+fHgcd9xxMXHixEihx6uvvhq33nprtgTWiBEjmtt/9QkQIECAAAECBAgQIECAAAECBAgQIECAAAECdQQqvgTWpZdeGlVVVTFy5MhIe3+ko3379nHSSSfFd77znTodVECAAAECBAgQIECAAAECBAgQIECAAAECBAgQaK5AxQOQDh06xJVXXhkXXXRRTJ8+PVauXBnbbrttdO7cubl9V58AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgUK9AxZbAWr58efz5z3+OxYsXZx1JgcfOO+8cu+yySzYjJN1bsWJFvZ1USIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBBojkDFApCbbropjj322EgzQFY/Ulm6d8stt6x+yzUBAgQIECBAgAABAgQIECBAgAABAgQIECBAoNkCFQtAxo8fH2eeeWa0bdu2TidT2ZgxY+L666+vc08BAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKC5AhULQF588cX46Ec/2mD/dtttt5g2bVqD990gQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECDRVoGIByMKFC+Ptt99usF8LFiyIRYsWNXjfDQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAUwUqFoBst9128eijjzbYr4cffjhSHQcBAgQIECBAgAABAgQIECBAgAABAgQIECBAoFSBigUghx9+eHz961+PP//5z3X6/Mwzz8S4ceMi1XEQIECAAAECBAgQIECAAAECBAgQIECAAAECBEoVaFfqA5rafvTo0XH33XdH//79Y7/99osddtghqqqqsn0/fvvb38agQYMi1XEQIECAAAECBAgQIECAAAECBAgQIECAAAECBEoVqFgA0r59+7j33nvj8ssvj1tuuSUefPDBWLlyZWy//fbx7W9/O0aNGhWpjoMAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgUKpAxQKQ1NEUcIwZMyb7lNpx7QkQIECAAAECBAgQIECAAAECBAgQIECAAAECDQlUbA+QhjpQX3maGeIgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECKytQEUCkD59+mTLXi1durTRfv71r3+Nk046KS6++OJG67lJgAABAgQIECBAgAABAgQIECBAgAABAgQIEGhMoCJLYF1zzTVx1llnxX//93/H4MGDY8CAAdGzZ8/o1KlT/POf/4wXXnghHn744eznKaecEieffHJjfXaPAAECBAgQIECAAAECBAgQIECAAAECBAgQINCoQEUCkE9+8pPx5JNPxqOPPhoTJ07MZoO8/PLLsXjx4thkk01i1113jZEjR8YRRxwR3bp1a7TDbhIgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE1iRQkQCk0ImBAwdG+jgIECBAgAABAgQIECBAMB25lAAAQABJREFUgAABAgQIECBAgAABAv9JgYrsAfKffAHPJkCAAAECBAgQIECAAAECBAgQIECAAAECBAisLiAAWV3ENQECBAgQIECAAAECBAgQIECAAAECBAgQINDiBQQgLX4IvQABAgQIECBAgAABAgQIECBAgAABAgQIECCwuoAAZHUR1wQIECBAgAABAgQIECBAgAABAgQIECBAgECLFxCAtPgh9AIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDA6gIVD0CefvrpePbZZ2v6ceedd8bBBx8cZ599dixdurSm3AkBAgQIECBAgAABAgQIECBAgAABAgQIECBAYG0FKh6AnHDCCfHSSy9l/Z0xY0Z84QtfiM6dO8fPf/7zGDNmzNq+h3YECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgRqBigcgKfzo169f1oEUenz84x+PW265JSZMmBC33357TcecECBAgAABAgQIECBAgAABAgQIECBAgAABAgTWVqDiAcjKlStjxYoVWX9/+9vfxgEHHJCd9+rVK+bOnbu276EdAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKBGoOIByIABA+Jb3/pW3HTTTfHAAw/EgQcemHVm5syZ0b1795qOOSFAgAABAgQIECBAgAABAgQIECBAgAABAgQIrK1AxQOQyy+/PKZMmRKnnHJKnHPOObHttttmfb/tttti4MCBa/se2hEgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEagTa1ZxV6KRv377x3HPP1fm2//mf/4m2bdvWKVdAgAABAgQIECBAgAABAgQIECBAgAABAgQIEGiuQMVngBx99NHx4IMP1ulnp06don379nXKFRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEmitQ8QBkwYIFMXjw4Nhuu+3iwgsvjNdee625fVafAAECBAgQIECAAAECBAgQIECAAAECBAgQINCoQMUDkNtvvz0LPdIeID//+c9jq622iqFDh2bn7777bqOddZMAAQIECBAgQIAAAQIECBAgQIAAAQIECBAg0BSBigcgqVMbb7xxnHbaaTF16tT44x//mG2EPnLkyOjZs2eMHj06/vrXvzal7+oQIECAAAECBAgQIECAAAECBAgQIECAAAECBOoVWCcBSKEnc+bMiXvvvTf7pA3QDzjggHj++edjxx13jMsvv7xQzU8CBAgQIECAAAECBAgQIECAAAECBAgQIECAQLMEKh6ApGWu0jJYn/70p6N3797Z0ldp1kcKQ2688cYsDLnpppviggsuaNaLqEyAAAECBAgQIECAAAECBAgQIECAAAECBAgQKAi0K5xU6mePHj1ixYoVMWLEiGz5q379+tX56iFDhkS3bt3qlCsgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECDRFoOIBSFra6vOf/3x06tSpwf5tuOGGMXPmzAbvu0GAAAECBAgQIECAAAECBAgQIECAAAECBAgQaEyg4gHIkUce2Vh/3CNAgAABAgQIECBAgAABAgQIECBAgAABAgQIlCxQ8QAk9fjJJ5/M9v6YNWtWLF26tOgl7rjjjqJrFwQIECBAgAABAgQIECBAgAABAgQIECBAgACB5gpUfBP0W2+9NQYNGhQvvPBCTJo0KdKm6On897//fXTt2rW5/VefAAECBAgQIECAAAECBAgQIECAAAECBAgQIFBHoOIByIUXXhhpH5C77rorOnToEFdeeWVMmzYtDjvssNhyyy3rdFABAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKC5AhUPQKZPnx4HHnhg1s+OHTvGwoULo6qqKkaPHh3XX399c/uvPgECBAgQIECAAAECBAgQIECAAAECBAgQIECgjkDFA5CNNtooFixYkHVk8803j+eeey47/9e//hWLFi2q00EFBAgQIECAAAECBAgQIECAAAECBAgQIECAAIHmClR8E/S99tor7rvvvth5552zZa9OO+20bP+PVLbvvvs2t//qEyBAgAABAgQIECBAgAABAgQIECBAgAABAgTqCFQ8ALn66qvj3//+d9aRsWPHRvv27ePhhx+OQw45JL7xjW/U6aACAgQIECBAgAABAgQIECBAgAABAgQIECBAgEBzBSoagCxbtix+9atfxZAhQ7J+tmnTJsaMGZN9mttx9QkQIECAAAECBAgQIECAAAECBAgQIECAAAECDQlUdA+Qdu3axUknnRRLlixpqD/KCRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIlC1Q0AEm93WOPPWLq1Kkld9wDCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQINCVR0CazUiZNPPjnOOOOMePXVV6N///6xwQYbFPVtl112Kbp2QYAAAQIECBAgQIAAAQIECBAgQIAAAQIECBBorkDFA5Dhw4dnfTz11FNr+lpVVRUrV66M9HP58uU15U4IECBAgAABAgQIECBAgAABAgQIECBAgAABAmsjUPEAZObMmWvTT20IECBAgAABAgQIECBAgAABAgQIECBAgAABAk0WqPgeIL17947GPk3u+f9XvPbaa2PrrbeOTp06ZUtqPfTQQ016xCOPPBJpU/Z+/fo1qb5KBAgQIECAAAECBAgQIECAAAECBAgQIECAQMsRqHgAUpumS5cuMWPGjNpFzTqfOHFijBo1Ks4555xsY/W99torhg4dGrNmzWr0OfPnz4+RI0fGvvvu22g9NwkQIECAAAECBAgQIECAAAECBAgQIECAAIGWKbBOA5C070cpx2WXXRbHHXdcHH/88dGnT5+44oorolevXnHdddc1+tgTTjghDj/88Nhzzz0brecmAQIECBAgQIAAAQIECBAgQIAAAQIECBAg0DIF1mkAUgrZ0qVLY8qUKTF48OCix6TrRx99tKis9sWPf/zjmD59epx77rm1i50TIECAAAECBAgQIECAAAECBAgQIECAAAECrUig4pug17Y74ogjIi2DtTbH3LlzY/ny5dG9e/ei5un6jTfeKCorXPz1r3+Nr33ta5H2CUn7fzTlWLJkSaRP4Xj77bcLp34SIECAAAECBAgQIECAAAECBAgQIECAAAECORWo2AyQcePGxbJly4oY0lJVm2yySVaW9u3Yf//9i+435aKqqqqoWlpWa/WyVCGFJWnZq/PPPz+23377ojaNXVx00UXRtWvXmk9aYstBgAABAgQIECBAgAABAgQIECBAgAABAgQI5FugYgHIhAkTYrfddotnn322jsj1118fO+20U5NnZaQHpOCkbdu2dWZ7vPXWW3VmhaT6CxYsiKeeeipOOeWU7HvSDJALLrggnnnmmez697//fapW5xg7dmykTdMLn9mzZ9epo4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBDIl0DFApDnnnsudt555ywESbMqVqxYEWnWx3777RdjxoyJtKH53Xff3WSdDh06RP/+/eO+++4rapOuBw4cWFSWLtJSWyl8+dOf/lTzOfHEE+NDH/pQdr3HHnvUaZMKOnbsmLVN7QufeisqJECAAAECBAgQIECAAAECBAgQIECAAAECBHIj0LSNMMrQ3RQe/OQnP4lDDz00TjjhhJg4cWLMnDkz9txzzyyYWJulpU4//fQ48sgjY8CAAdlz0kySFKqkYCMdafbGa6+9ln1vmzZtslkmtV9ls802i06dOtUpr13HOQECBAgQIECAAAECBAgQIECAAAECBAgQINDyBCoWgBRo0kyLNBPkd7/7XWywwQbZ7I+1CT/S84YPHx7z5s3LlrKaM2dOFmRMnjw5evfunX1dKkuBiIMAAQIECBAgQIAAAQIECBAgQIAAAQIECBBYvwQqtgRWYv3pT38aH/7wh7Plr6ZNmxYnnXRSDB06NE477bRYvHjxWsmffPLJ8fLLL8eSJUtiypQp8fGPf7zmOWnfkT/84Q8116ufnHfeednyV6uXuyZAgAABAgQIECBAgAABAgQIECBAgAABAgRatkDFApBhw4bFl7/85UihQ5r9kfbeuOSSS7KA4p577om+ffvGY4891rI19Z4AAQIECBAgQIAAAQIECBAgQIAAAQIECBDIhUDFlsBKy1FNnTo1tt1226IXT3uAPPPMM3HWWWfF3nvvHUuXLi2674IAAQIECBAgQIAAAQIECBAgQIAAAQIECBAg0FyBigUgDz30UKSNyOs70kbkV155ZbZBen33lREgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEmiNQfyLRnCc0sW5D4Uft5rX376hd7pwAAQIECBAgQIAAAQIECBAgQIAAAQIECBAg0ByBigUgzemUugQIECBAgAABAgQIECBAgAABAgQIECBAgACBUgQEIKXoaUuAAAECBAgQIECAAAECBAgQIECAAAECBAjkUkAAksth0SkCBAgQIECAAAECBAgQIECAAAECBAgQIECgFAEBSCl62hIgQIAAAQIECBAgQIAAAQIECBAgQIAAAQK5FBCA5HJYdIoAAQIECBAgQIAAAQIECBAgQIAAAQIECBAoRUAAUoqetgQIECBAgAABAgQIECBAgAABAgQIECBAgEAuBQQguRwWnSJAgAABAgQIECBAgAABAgQIECBAgAABAgRKERCAlKKnLQECBAgQIECAAAECBAgQIECAAAECBAgQIJBLAQFILodFpwgQIECAAAECBAgQIECAAAECBAgQIECAAIFSBAQgpehpS4AAAQIECBAgQIAAAQIECBAgQIAAAQIECORSQACSy2HRKQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKAUAQFIKXraEiBAgAABAgQIECBAgAABAgQIECBAgAABArkUEIDkclh0igABAgQIECBAgAABAgQIECBAgAABAgQIEChFQABSip62BAgQIECAAAECBAgQIECAAAECBAgQIECAQC4FBCC5HBadIkCAAAECBAgQIECAAAECBAgQIECAAAECBEoREICUoqctAQIECBAgQIAAAQIECBAgQIAAAQIECBAgkEsBAUguh0WnCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgVIEBCCl6GlLgAABAgQIECBAgAABAgQIECBAgAABAgQI5FJAAJLLYdEpAgQIECBAgAABAgQIECBAgAABAgQIECBAoBQBAUgpetoSIECAAAECBAgQIECAAAECBAgQIECAAAECuRQQgORyWHSKAAECBAgQIECAAAECBAgQIECAAAECBAgQKEVAAFKKnrYECBAgQIAAAQIECBAgQIAAAQIECBAgQIBALgUEILkcFp0iQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEShEQgJSipy0BAgQIECBAgAABAgQIECBAgAABAgQIECCQSwEBSC6HRacIECBAgAABAgQIECBAgAABAgQIECBAgACBUgQEIKXoaUuAAAECBAgQIECAAAECBAgQIECAAAECBAjkUkAAksth0SkCBAgQIECAAAECBAgQIECAAAECBAgQIECgFAEBSCl62hIgQIAAAQIECBAgQIAAAQIECBAgQIAAAQK5FBCA5HJYdIoAAQIECBAgQIAAAQIECBAgQIAAAQIECBAoRUAAUoqetgQIECBAgAABAgQIECBAgAABAgQIECBAgEAuBQQguRwWnSJAgAABAgQIECBAgAABAgQIECBAgAABAgRKERCAlKKnLQECBAgQIECAAAECBAgQIECAAAECBAgQIJBLAQFILodFpwgQIECAAAECBAgQIECAAAECBAgQIECAAIFSBAQgpehpS4AAAQIECBAgQIAAAQIECBAgQIAAAQIECORSQACSy2HRKQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKAUAQFIKXraEiBAgAABAgQIECBAgAABAgQIECBAgAABArkUEIDkclh0igABAgQIECBAgAABAgQIECBAgAABAgQIEChFQABSip62BAgQIECAAAECBAgQIECAAAECBAgQIECAQC4FBCC5HBadIkCAAAECBAgQIECAAAECBAgQIECAAAECBEoREICUoqctAQIECBAgQIAAAQIECBAgQIAAAQIECBAgkEsBAUguh0WnCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgVIEBCCl6GlLgAABAgQIECBAgAABAgQIECBAgAABAgQI5FJAAJLLYdEpAgQIECBAgAABAgQIECBAgAABAgQIECBAoBQBAUgpetoSIECAAAECBAgQIECAAAECBAgQIECAAAECuRQQgORyWHSKAAECBAgQIECAAAECBAgQIECAAAECBAgQKEVAAFKKnrYECBAgQIAAAQIECBAgQIAAAQIECBAgQIBALgUEILkcFp0iQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEShEQgJSipy0BAgQIECBAgAABAgQIECBAgAABAgQIECCQSwEBSC6HRacIECBAgAABAgQIECBAgAABAgQIECBAgACBUgQEIKXoaUuAAAECBAgQIECAAAECBAgQIECAAAECBAjkUkAAksth0SkCBAgQIECAAAECBAgQIECAAAECBAgQIECgFAEBSCl62hIgQIAAAQIECBAgQIAAAQIECBAgQIAAAQK5FBCA5HJYdIoAAQIECBAgQIAAAQIECBAgQIAAAQIECBAoRUAAUoqetgQIECBAgAABAgQIECBAgAABAgQIECBAgEAuBQQguRwWnSJAgAABAgQIECBAgAABAgQIECBAgAABAgRKERCAlKKnLQECBAgQIECAAAECBAgQIECAAAECBAgQIJBLAQHI/7F3J+ByFHUCwCskkHAl3IEsV1BUVlzEENYgl7IEQUFXV0BZDiGuKDe7csj6GfhcURRkcQmHcrqAAQEXXZZLBaLhXhREDhU0WUmARI4IEo709r9xJm/mzbzkvdd56Xnv1983THd1VXX1rzpDMv+pqkp2i0YRIECAAAECBAgQIECAAAECBAgQIECAAAEC/REQAOmPnrIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAJQUEQCrZLRpFgAABAgQIECBAgAABAgQIECBAgAABAgQI9EdAAKQ/esoSIECAAAECBAgQIECAAAECBAgQIECAAAEClRQQAKlkt2gUAQIECBAgQIAAAQIECBAgQIAAAQIECBAg0B8BAZD+6ClLgAABAgQIECBAgAABAgQIECBAgAABAgQIVFJAAKSS3aJRBAgQIECAAAECBAgQIECAAAECBAgQIECAQH8EBED6o6csAQIECBAgQIAAAQIECBAgQIAAAQIECBAgUEkBAZBKdotGESBAgAABAgQIECBAgAABAgQIECBAgAABAv0READpj56yBAgQIECAAAECBAgQIECAAAECBAgQIECAQCUFBEAq2S0aRYAAAQIECBAgQIAAAQIECBAgQIAAAQIECPRHQACkP3rKEiBAgAABAgQIECBAgAABAgQIECBAgAABApUUEACpZLdoFAECBAgQIECAAAECBAgQIECAAAECBAgQINAfAQGQ/ugpS4AAAQIECBAgQIAAAQIECBAgQIAAAQIECFRSQACkkt2iUQQIECBAgAABAgQIECBAgAABAgQIECBAgEB/BARA+qOnLAECBAgQIECAAAECBAgQIECAAAECBAgQIFBJAQGQSnaLRhEgQIAAAQIECBAgQIAAAQIECBAgQIAAAQL9ERAA6Y+esgQIECBAgAABAgQIECBAgAABAgQIECBAgEAlBTo+ADJt2rQ0fvz4NGrUqDRhwoQ0Y8aMttDXXHNN2nXXXdO6666bRo8enSZNmpRuvPHGtvmdIECAAAECBAgQIECAAAECBAgQIECAAAECBDpToKMDINOnT09HH310Oumkk9L999+fdthhh7T77runWbNmteyN22+/vQiAXH/99em+++5L733ve9Oee+5ZlG1ZQCIBAgQIECBAgAABAgQIECBAgAABAgQIECDQkQIdHQA544wz0iGHHJKmTJmStthii3TmmWemjTbaKJ1zzjktOyPOH3fccWnixIlp8803T1/+8peL9x/84Act80skQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEOlOgYwMgr7zySjGKY/LkyQ3ycTxz5syGtHYHixYtSgsWLEhrrbVWuyzSCRAgQIAAAQIECBAgQIAAAQIECBAgQIAAgQ4UGNGBbS6aPG/evPT666+nsWPHNtxCHM+dO7chrd3B6aefnl588cW09957t8uSFi5cWLxqGV544YXarncCBAgQIECAAAECBAgQIECAAAECBAgQIECgogIdOwKk5jls2LDabvGeZVlqTmvI8JeDK664Ik2dOjXFOiLrrbdeqyxF2qmnnprGjBlTf8UUWzYCBAgQIECAAAECBAgQIECAAAECBAgQIECg2gIdGwBZZ5110vDhw7uN9nj66ae7jQpp7oIIesTaIVdeeWX6u7/7u+bTDccnnnhiev755+uv2bNnN5x3QIAAAQIECBAgQIAAAQIECBAgQIAAAQIECFRPoGMDICuttFKaMGFCuvnmmxtU43i77bZrSOt6ECM/DjrooHT55ZenD3zgA11PtdwfOXJkGj16dMOrZUaJBAgQIECAAAECBAgQIECAAAECBAgQIECAQGUEOnYNkBA89thj0/7775+22WabNGnSpHT++eenWbNmpUMPPbQAjtEbf/jDH9Kll15aHEfw44ADDkj//u//nt797nfXR4+svPLKxRRXRSb/IUCAAAECBAgQIECAAAECBAgQIECAAAECBDpeoKMDIPvss0+aP39+OuWUU9KcOXPSlltuma6//vq0ySabFB0TaREQqW3nnXdeeu2119Jhhx1WvGrpBx54YLr44otrh94JECBAgAABAgQIECBAgAABAgQIECBAgACBDhfo6ABI2H/2s58tXq36oTmoceutt7bKJo0AAQIECBAgQIAAAQIECBAgQIAAAQIECBAYZAIduwbIIOsHt0OAAAECBAgQIECAAAECBAgQIECAAAECBAiUKCAAUiKmqggQIECAAAECBAgQIECAAAECBAgQIECAAIFqCAiAVKMftIIAAQIECBAgQIAAAQIECBAgQIAAAQIECBAoUUAApERMVREgQIAAAQIECBAgQIAAAQIECBAgQIAAAQLVEBAAqUY/aAUBAgQIECBAgAABAgQIECBAgAABAgQIECBQooAASImYqiJAgAABAgQIECBAgAABAgQIECBAgAABAgSqISAAUo1+0AoCBAgQIECAAAECBAgQIECAAAECBAgQIECgRAEBkBIxVUWAAAECBAgQIECAAAECBAgQIECAAAECBAhUQ0AApBr9oBUECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAiQICICViqooAAQIECBAgQIAAAQIECBAgQIAAAQIECBCohoAASDX6QSsIECBAgAABAgQIECBAgAABAgQIECBAgACBEgUEQErEVBUBAgQIECBAgAABAgQIECBAgAABAgQIECBQDQEBkGr0g1YQIECAAAECBAgQIECAAAECBAgQIECAAAECJQoIgJSIqSoCBAgQIECAAAECBAgQIECAAAECBAgQIECgGgICINXoB60gQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEShQQACkRU1UECBAgQIAAAQIECBAgQIAAAQIECBAgQIBANQQEQKrRD1pBgAABAgQIECBAgAABAgQIECBAgAABAgQIlCggAFIipqoIECBAgAABAgQIECBAgAABAgQIECBAgACBaggIgFSjH7SCAAECBAgQIECAAAECBAgQIECAAAECBAgQKFFAAKRETFURIECAAAECBAgQIECAAAECBAgQIECAAAEC1RAQAKlGP2gFAQIECBAgQIAAAQIECBAgQIAAAQIECBAgUKKAAEiJmKoiQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEqiEgAFKNftAKAgQIECBAgAABAgQIECBAgAABAgQIECBAoEQBAZASMVVFgAABAgQIECBAgAABAgQIECBAgAABAgQIVENAAKQa/aAVBAgQIECAAAECBAgQIECAAAECBAgQIECAQIkCAiAlYqqKAAECBAgQIECAAAECBAgQIECAAAECBAgQqIaAAEg1+kErCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgRIFBEBKxFQVAQIECBAgQIAAAQIECBAgQIAAAQIECBAgUA0BAZBq9INWECBAgAABAgQIECBAgAABAgQIECBAgAABAiUKCICUiKkqAgQIECBAgAABAgQIECBAgAABAgQIECBAoBoCAiDV6AetIECAAAECBAgQIECAAAECBAgQIECAAAECBEoUEAApEVNVBAgQIECAAAECBAgQIECAAAECBAgQIECAQDUEBECq0Q9aQYAAAQIECBAgQIAAAQIECBAgQIAAAQIECJQoIABSIqaqCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgWoICIBUox+0ggABAgQIECBAgAABAgQIECBAgAABAgQIEChRQACkRExVESBAgAABAgQIECBAgAABAgQIECBAgAABAtUQEACpRj9oBQECBAgQIECAAAECBAgQIECAAAECBAgQIFCigABIiZiqIkCAAAECBAgQIECAAAECBAgQIECAAAECBKohIABSjX7QCgIECBAgQIAAAQIECBAgQIAAAQIECBAgQKBEAQGQEjFVRYAAAQIECBAgQIAAAQIECBAgQIAAAQIECFRDQACkGv2gFQQIECBAgAABAgQIECBAgAABAgQIECBAgECJAgIgJWKqigABAgQIECBAgAABAgQIECBAgAABAgQIEKiGgABINfpBKwgQIECAAAECBAgQIECAAAECBAgQIECAAIESBQRASsRUFQECBAgQIECAAAECBAgQIECAAAECBAgQIFANAQGQavSDVhAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIlCgiAlIipKgIECBAgQIAAAQIECBAgQIAAAQIECBAgQKAaAgIg1egHrSBAgAABAgQIECBAgAABAgQIECBAgAABAgRKFBAAKRFTVQQIECBAgAABAgQIECBAgAABAgQIECBAgEA1BARAqtEPWkGAAAECBAgQIECAAAECBAgQIECAAAECBAiUKCAAUiKmqggQIECAAAECBAgQIECAAAECBAgQIECAAIFqCAiAVKMftIIAAQIECBAgQIAAAQIECBAgQIAAAQIECBAoUUAApERMVREgQIAAAQIECBAgQIAAAQIECBAgQIAAAQLVEBAAqUY/aAUBAgQIECBAgAABAgQIECBAgAABAgQIECBQooAASImYqiJAgAABAgQIECBAgAABAgQIECBAgAABAgSqISAAUo1+0AoCBAgQIECAAAECBAgQIECAAAECBAgQIECgRAEBkBIxVUWAAAECBAgQIECAAAECBAgQIECAAAECBAhUQ0AApBr9oBUECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAiQICICViqooAAQIECBAgQIAAAQIECBAgQIAAAQIECBCohoAASDX6QSsIECBAgAABAgQIECBAgAABAgQIECBAgACBEgUEQErEVBUBAgQIECBAgAABAgQIECBAgAABAgQIECBQDQEBkGr0g1YQIECAAAECBAgQIECAAAECBAgQIECAAAECJQoIgJSIqSoCBAgQIECAAAECBAgQIECAAAECBAgQIECgGgICINXoB60gQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEShQQACkRU1UECBAgQIAAAQIECBAgQIAAAQIECBAgQIBANQQEQKrRD1pBgAABAgQIECBAgAABAgQIECBAgAABAgQIlCggAFIipqoIECBAgAABAgQIECBAgAABAgQIECBAgACBaggIgFSjH7SCAAECBAgQIECAAAECBAgQIECAAAECBAgQKFFAAKRETFURIECAAAECBAgQIECAAAECBAgQIECAAAEC1RAQAKlGP2gFAQIECBAgQIAAAQIECBAgQIAAAQIECBAgUKKAAEiJmKoiQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEqiEgAFKNftAKAgQIECBAgAABAgQIECBAgAABAgQIECBAoEQBAZASMVVFgAABAgQIECBAgAABAgQIECBAgAABAgQIVENAAKQa/aAVBAgQIECAAAECBAgQIECAAAECBAgQIECAQIkCAiAlYqqKAAECBAgQIECAAAECBAgQIECAAAECBAgQqIaAAEg1+kErCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgRIFBEBKxFQVAQIECBAgQIAAAQIECBAgQIAAAQIECBAgUA0BAZBq9INWECBAgAABAgQIECBAgAABAgQIECBAgAABAiUKCICUiKkqAgQIECBAgAABAgQIECBAgAABAgQIECBAoBoCAiDV6AetIECAAAECBAgQIECAAAECBAgQIECAAAECBEoU6PgAyLRp09L48ePTqFGj0oQJE9KMGTN65LntttuKfJF/s802S+eee26P+Z0kQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEOk+gowMg06dPT0cffXQ66aST0v3335922GGHtPvuu6dZs2a17Iknnngi7bHHHkW+yP/5z38+HXnkkenqq69umV8iAQIECBAgQIAAAQIECBAgQIAAAQIECBAg0JkCHR0AOeOMM9IhhxySpkyZkrbYYot05plnpo022iidc845LXsjRntsvPHGRb7IH+UOPvjg9PWvf71lfokECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAZwqM6Mxmp/TKK6+k++67L51wwgkNtzB58uQ0c+bMhrTawR133JHifNdtt912SxdccEF69dVX04orrtj1VLG/cOHCFK/a9sILL9R2y3mfPz+lvffuXtczzyxOO+64lNZcc/Hx668v3q/ttaqjdi7ef/jDxUdLyrs4Z+PeRRel9JvfNKb19mi//VIa0fTY/fnPrWvpaztb19a31CxbXC5/TtJDDy0+tleOwIsvLq7ntNNSuuyyxcf2qi+QfxbXt7PPTumWW+qHdggQIEBgkArkf2+2ESBAgAABAgQIECBAoBMEmr6J7oQmv9HGefPmpdfzQMDYsWMbGh3Hc+fObUirHUR6q/yvvfZaivo22GCDWtb6+6mnnppOPvnk+nFpO2uv/UZVL7+c0lVX9Vzt0nyhuKQ6ul6hN3m7lgvXvpat1XPttbW9Jb/391pLvkLvcsyenVK8bMtOoE3wctldUM2lCjzwQErxshEgQIAAAQIECBAgQIAAAQIECBCogEDHBkBqdsOGDavtFu9Z/ov95rSuGZrPRf7YmtNrZU488cR07LHH1g5TjACJabb6veVTcRW/lH7kkfZVPf54SsOHp7TJJo15Fi1KKR/NkrbdNqV7701p661Tvgp8Y55WR/fck/K5wlJabbVWZ9unPftsSr//fUrvfGf7PO3OxK/D47qbbpryCFNKK7SZdS0PQuVRqJTWW2/xvbUYkdPuMss0/Y9/fCPwsdVWy/QyQ7ryJ59MacGClN761iHN0LE3HyPWnnoqpS237Nhb0HACBAgQ6IVAjN793Od6UUBWAgQIECBAgAABAgQILB+Bjg2ArLPOOnlsYHi30R5PP/10t1EeNdr111+/Zf4R+ZRMa9dGZNQy/+V95MiRKV7LZNtll5Ti1ZftiCP6Uqozygzme+uMHtBKAgQIECBAgEB7gZgSVgCkvY8zBAgQIECAAAECBAhURqDNz/Er0762DVlppZXShAkT0s0339yQJ4632267hrTawaRJk7rlv+mmm9I222zTcv2PWjnvBAgQIECAAAECBAgQIECAAAECBAgQIECAQGcJdGwAJJhjaqpvf/vb6cILL0wPP/xwOuaYY9KsWbPSoYceWvRCTF91wAEH1Hsk0n+fT+UU5SJ/lIsF0P/lX/6lnscOAQIECBAgQIAAAQIECBAgQIAAAQIECBAg0PkCHTsFVtDvs88+af78+emUU05Jc+bMyaef3zJdf/31+ZIZb6yZEWkREKlt48ePL85HoOTss89O48aNS2eddVb66Ec/WsvinQABAgQIECBAgAABAgQIECBAgAABAgQIEBgEAsPyRcDfWAV8ENzMQNxCLII+ZsyY9Pzzz6fRo0cPxCVdgwABAgQIECBAgEBlBPr79+Fh+VaZm9EQAgQIECBAgAABAgQGtUBHT4E1qHvGzREgQIAAAQIECBAgQIAAAQIECBAgQIAAAQJ9FhAA6TOdggQIECBAgAABAgQIECBAgAABAgQIECBAgEBVBQRAqtoz2kWAAAECBAgQIECAAAECBAgQIECAAAECBAj0WUAApM90ChIgQIAAAQIECBAgQIAAAQIECBAgQIAAAQJVFRAAqWrPaBcBAgQIECBAgAABAgQIECBAgAABAgQIECDQZwEBkD7TKUiAAAECBAgQIECAAAECBAgQIECAAAECBAhUVUAApKo9o10ECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAnwUEQPpMpyABAgQIECBAgAABAgQIECBAgAABAgQIECBQVQEBkKr2jHYRIECAAAECBAgQIECAAAECBAgQIECAAAECfRYQAOkznYIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAVQUEQKraM9pFgAABAgQIECBAgAABAgQIECBAgAABAgQI9FlAAKTPdAoSIECAAAECBAgQIECAAAECBAgQIECAAAECVRUQAKlqz2gXAQIECBAgQIAAAQIECBAgQIAAAQIECBAg0GcBAZA+0ylIgAABAgQIECBAgAABAgQIECBAgAABAgQIVFVAAKSqPaNdBAgQIECAAAECBAgQIECAAAECBAgQIECAQJ8FRvS55BAtmGVZcecvvPDCEBVw2wQIECBAgAABAkNZoPb34Nrfi4eyhXsnQIAAAQIECBAgQKDaAgIgveyfBQsWFCU22mijXpaUnQABAgQIECBAgMDgEYi/F48ZM2bw3JA7IUCAAAECBAgQIEBg0AkMy3+59caQhkF3a8vmhhYtWpSefPLJtPrqq6dhw4b16SLxq7kIoMyePTuNHj26T3Uo1F2Aa3eTslLYliXZWA/XRo8yj9iWqbm4Lq6LLcreY1u26Bv1cV02rvHPhwh+jBs3Lq2wQu9n1M3/Dt23v0Qvm9tRKwECBAgQIECAAAECg1jACJBedm78I2/DDTfsZanW2SP4IQDS2qY/qVz7o9dzWbY9+/T1LNe+yi25HNslG/UlB9e+qC1dGbZL59TbXFx7K7bk/EZ+LNlIDgIECBAgQIAAAQIElr9A73+ytfzbrAUECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgR4FBEB65HGSAAECBAgQIECAAAECBAgQIECAAAECBAgQ6ESB4VPzrRMb3ultHj58eNp5553TiBFmISuzL7mWqdlYF9tGj7KOuJYl2b0ett1NykjhWoZi6zrYtnbpbyrX/gqWX/7kfCu/VjUSIECAAAECBAgQIECgu4BF0LubSCFAgAABAgQIECBAYBkJWAR9GcGqlgABAgQIECBAgACBbgKmwOpGIoEAAQIECBAgQIAAAQIECBAgQIAAAQIECBDodAEBkE7vQe0nQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEugkIgHQjkUCAAAECBAgQIECAAAECBAgQIECAAAECBAh0uoAAyDLowWnTpqXx48enUaNGpQkTJqQZM2b0eJXbbrutyBf5N9tss3Tuuef2mH8onjz11FPTxIkT0+qrr57WW2+99OEPfzg9+uijPVLceuutKZ9jutvrkUce6bHcUDs5derUbkbrr79+jwye2R55ipObbrppN9d4Hg877LCWhT2vLVmKxNtvvz3tueeeady4cYXp97///YbMWZaleI7j/Morr5x23nnn9NBDDzXkaXVw9dVXp7/+679OI0eOLN6vvfbaVtkGbVpPrq+++mo6/vjj0zve8Y606qqrFrYHHHBAevLJJ3v0uPjii1s+9y+//HKP5QbbyZ5s414POuigbk7vfve7l8jgme35s6DV//Mj7Wtf+1pbW89sWxonCBAgQIAAAQIECBAgMCgEBEBK7sbp06eno48+Op100knp/vvvTzvssEPafffd06xZs1pe6Yknnkh77LFHkS/yf/7zn09HHnlkii85bIsF4gv3+OL4zjvvTDfffHN67bXX0uTJk9OLL764OFObvQiUzJkzp/7afPPN2+Qcuslvf/vb6z5h9eCDD7bF8My2pWk4cc899zSYxnMb28c+9rGGfM0HntdmkVT8Od9qq63Sf/zHf3Q/maecdtpp6YwzzijOh3sE8Hbddde0YMGClvkj8Y477kj77LNP2n///dMvfvGL4n3vvfdOd911V9syg+1EfH62c33ppZfS//7v/6YvfOELxfs111yTHnvssbTXXnstkWH06NENz358pkSAfyhtPdnWHN7//vc3OF1//fW1Uy3fPbNL/izo+v/62L/wwguLQNNHP/rRlqa1RM9sTcI7AQIECBAgQIAAAQIEBqFA/stZW4kC2267bXbooYc21Pi2t70tO+GEExrSagfHHXdcFue7bp/+9Kez/JegXZPsNwk8/fTTWf7HMcsDI01nFh/+5Cc/KfI8++yzixPtdRP44he/mOVfgnZLb5fgmW0n03P6UUcdlb3pTW/KFi1a1DKj57UlS7fE+HOfj9Sop4dnHvDIvvKVr9TT8tEG2ZgxY7J8NF09rXknD3Zk+RfQDcm77bZbtu+++zakDZWDZtdW93333XcXn6m///3vW50u0i666KLCvm2GIXiile2BBx6YfehDH+qVhme2kauVa2OOrDB+3/ve15zccOyZbeAYsIO8/2wECBAgQIAAAQIECBAYEAEjQEpkfuWVV9J9991XjEzoWm2MVJg5c2bXpPp+/KIzznfd8i/h0r333ptiChJba4Hnn3++OLHWWmu1ztAldeutt04bbLBB2mWXXVL+JXOXM3ZrAr/+9a+LKW7G51O35V8Ap8cff7x2qtu7Z7YbyRIT4rPhP//zP9PBBx9c/Bq5pwKe1550up+LEUlz585t+ByNKa122mmntp+7UUu757jdZ3X3Kw+9lPjcjemE1lhjjR5v/k9/+lPaZJNN0oYbbpg++MEPFqMheywwRE/GtHcxpeNb3vKW9KlPfSrlgf0eJTyzPfJ0O/nUU0+l//7v/06HHHJIt3PNCZ7ZZhHHBAgQIECAAAECBAgQGDwCAiAl9uW8efPS66+/nsaOHdtQaxzHF3SttkhvlT+meIr6bN0F8p8npmOPPTZtv/32acstt+ye4S8pEfQ4//zzi+nEYvqWt771rUUQJOZmty0W+Nu//dt06aWXphtvvDF961vfKp7V7bbbLs2fP39xpi57ntkuGEu5G2tWPPfcc8W8/+2KeF7byfScXvtsbfU5WjvXqoZ2z3FPZVrVM1TSYg2PfCRj+sQnPpFiuqB2Wz6iMcWaCtddd1264ooriqmv3vOe96QIstoWC8TUmJdddln68Y9/nE4//fQUU7flIxXSwoULF2dq2vPMNoEs4fCSSy4p1g37yEc+0mNOz2yPPE4SIECAAAECBAgQIECg4wVGdPwdVPAG4heyXbf4wr45rev55nORP7bm9K5lhvL+4Ycfnh544IH005/+tEeGCHjEq7ZNmjQpzZ49O339619PO+64Yy15yL/HF3G1LRY8Dqd8qqYUXx5FoKnV1vxsemZbKS1Ou+CCC4q1gGKR7nab57WdzNKlt3omm9Oaa2o+v6TP6ubyQ+U4RiPGyLB8urE0bdq0Hm87FvLuuph3BD/e9a53pW9+85vprLPO6rHsUDoZ68/Utgjkb7PNNsWomRix0NMX9p7ZmtqS32P9j/3222+J6894ZpdsKQcBAgQIECBAgAABAgQ6WcAIkBJ7b5111knDhw/vNtojprVo/nVy7bKxWG/zL44j/4gRI9Laa69dy+b9LwJHHHFE8cvimMoqplfp7RZfdPglcs9qq666aopASDsnz2zPfs1n8/US0i233JKmTJnSfGqJx57XJRIVC55Hrlafo+0+dyN/u+e4pzJRbqhtEfyIxeFjqrGbb765x9EfrWxWWGGFNHHixLafJ63KDMW0GAEW04a1+9wNE8/s0j8ZM2bMSI8++mifPnc9s0vvLCcBAgQIECBAgAABAgQ6QUAApMReWmmlldKECROKL4m6VhtfGsWUQq22+LV9nO+63XTTTcWvQVdcccWuyUN6P36ZHSM/YiqrmDIk1qroy3b//fcX64H0pexQKRNTsDz88MNtnTyzvXsS8gV2i3n+P/CBD/SuYJ7b87pksvgsiC+Gu36Oxport912W9vP3ai13XPc7rN6yS0ZfDlqwY/4Uj6CeH0Jysdn989//vO2nyeDT61vdxRTDsYIxQiEtNs8s+1kuqfHqLv4+9hWW23V/eQSUjyzSwBymgABAgQIECBAgAABAp0mkP9Dz1aiwHe/+90sD1xk+T++s1/96lfZ0UcfneW/qM9+97vfFVfJ51DP9t9///oV88Wms1VWWSU75phjivxRLsp/73vfq+exk2Wf+cxnsjFjxmT5orHZnDlz6q+XXnqpztNs+41vfCO79tprs8ceeyz75S9/mcX5/M9ndvXVV9fL2Mmyf/7nfy5c41m88847s3zR4mz11Vf3zJbwcORrAmUbb7xxdvzxx3erzfPajaRtwoIFC7I8GFS84s/wGWecUezno2uKMl/5yleKz4c8QJo9+OCD2cc//vEs/yI5e+GFF+p1xudumNe2n/3sZ1k+Yi+LsnnAr3jPR94VfwZqeQb7e0+uefAj22uvvbJ8pF2WBzDqn7nx+ZsHSes0za5Tp07Nbrjhhuy3v/1t0Uef/OQns3C966676mWGwk5PtnEuPndnzpyZ5SNrsnxEY5YHN7K/+qu/8swu4eHoybVW9Pnnny/+XnXOOefUkhrePbMNHMvtoNP+vaS9BAgQIECAAAECBAh0sMBy+5fPIL7w2WefneVTWWT5iJAsn/s8y3+JXL/bAw88MNtpp53qx7ETX+pvvfXWRf5NN900a/eP9oZCQ+wg/yNWBC+a3/Nf19clmm2/+tWvZvlaFtmoUaOyNddcM8sXTc/y+dXr+e28IZDPRV98WRyBt3yNiiyffz576KGH6jzNrnHCM1vn6XEnX1i+eG7zqVi65Wt29bx2I6onxBfEzX/24zgMY8vXpsi++MUvZvlIkGzkyJFZvsZPEQgpTv7lP/G5W8tfS7/qqquyfO2VIuicL4Q85IKjPbnGF/OtzCMtytW2ZtcI+kfQL/7/t+6662aTJ08uvuiv5R8q7z3ZRuA+XMInPnfDK57NWbNmNfA028ZJz2zPnwVhdN5552Urr7xy9txzz8Vht63Z1TPbjWhAEvLPEhsBAgQIECBAgAABAgQGRGBY/CtnQK7kIgQIECBAgAABAgQIDHmBYfk25BEAECBAgAABAgQIECAwIALWABkQZhchQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEBlJAAGQgtV2LAAECBAgQIECAAAECBAgQIECAAAECBAgQGBABAZABYXYRAgQIECBAgAABAgQIECBAgAABAgQIECBAYCAFBEAGUtu1CBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgQEREAAZEGYXIUCAAAECBAgQIECAAAECBAgQIECAAAECBAZSQABkILVdiwABAgQIECBAgAABAgQIECBAgAABAgQIEBgQAQGQAWF2EQIECBAgQIAAAQIECBAgQIAAAQIECBAgQGAgBQRABlLbtQgQIECAAAECBAgQIECAAAECBAgQIECAAIEBERAAGRBmFyFAgACB5SGw6aabpjPPPLNfl95xxx3T5ZdfXq9j2LBh6fvf/379eFns/PCHP0xbb711WrRo0bKoXp0ECBAgQIAAAQIECBAgQIAAgSEhIAAyJLrZTRIgMNgFDjrooBRfzDe/3v/+9w/2W+/x/u655570T//0Tz3m6elkBCLmzp2b9t13356yLfW5d7zjHWnKlCkt819xxRVpxRVXTE899VT64Ac/WPRl18BLy0ISCRAgQIAAAQIECBAgQIAAAQIE2goIgLSlcYIAAQKdJRDBjjlz5jS84kv1Zbm98sory7L6fte97rrrplVWWaXP9Zx11lnpk5/8ZFphhXL+d3nIIYekK6+8Mr300kvd2nThhRcWgY+xY8cW5+K63/zmN7vlk0CAAAECBAgQIECAAAECBAgQILB0AuV8o7N015KLAAECBJahwMiRI9P666/f8FpzzTXrV4zRId/+9rfT3//93xdBgc033zxdd9119fOx86tf/SrtscceabXVVkvxRfz++++f5s2bV8+z8847p8MPPzwde+yxaZ111km77rprcS7qifpWXnnl9N73vjddcsklxQiG5557Lr344otp9OjR6Xvf+169ntj5wQ9+kFZdddW0YMGChvTawQ033JC23377tMYaa6S11167CA789re/rZ1Ol156adHOX//61/W0I444Ir3lLW8prhmJmzZNgTV16tS08cYbp7AaN25cOvLII+tlm3fivm+55Za01157NZ9qOD7llFMKq5///OdF+syZM1NMmxUWG220UXGNMIgtPBcuXJiuuuqq4rj2n1mzZqUf//jHKQIktS2ue/fdd6fHH3+8luSdAAECBAgQIECAAAECBAgQIECgFwICIL3AkpUAAQKdLnDyySenvffeOz3wwANFoGO//fZLf/zjH4vbitEjO+20U3rnO9+Z7r333hQBiJiOKfJ33SK4MWLEiPSzn/0snXfeeel3v/td+od/+If04Q9/OEUQ4NOf/nQ66aST6kUiyBFTSF100UX1tNiJ4yi3+uqrN6TXDiJoEIGWmMbqRz/6UTEKI4I3tXUxDjjggPo9vPbaa0V7oz2XXXZZEVip1VN7jwDMN77xjaLNETSJdTxiSqp2209/+tMiULTFFlu0zJJlWTrqqKPSBRdckCJvuD344INpt912Sx/5yEcK4+nTpxfnImgUWwRyPvShD7W0iIDT7rvvXr/WJptsktZbb700Y8aMepodAgQIECBAgAABAgQIECBAgACBXgjkX+DYCBAgQKDDBQ488MBs+PDhWR5saHjloxPqd5b/ryH713/91/rxn/70pywfFZL9z//8T5H2hS98IZs8eXL9fOzMnj07i3KPPvpokZ4HSLL8i/6GPMcff3y25ZZbNqTlAZCi3LPPPluk33XXXUX7/vCHPxTHzzzzTJavd5HdeuutDeV6Onj66aeLOvMgQz1bHrzJNtxww+wzn/lMlgcQsi996Uv1c7GTBxGyPOhRpJ1++ulZPjoky6ftasjT7iDKbbbZZt1Oh0c+giP7x3/8x+xtb3tbYVTLlI/wyPI1R2qHxXsewMjyKbSyP//5z8VxeId7PpqlOM4DOlk+UiU78cQTG8rFQb4QepaPWumWLoEAAQKdLNCLf6rISoAAAQIECBAgQIAAgX4JGAHSLz6FCRAgUB2BmHoqRmB0fR122GENDfybv/mb+nGMzIjRF3lgoUi777770k9+8pNiWqmYAite+Rf8xbmuU09ts8029TpiJw+OpIkTJzakbbvttt2O3/72txfTVsWJ73znO8VUVDFVVLstrvmJT3wi5UGIYgqt8ePHF1ljuqjaFlN8xQiMc845J73pTW9KJ5xwQu1Ut/ePfexjKQ9CFPV96lOfStdee22KkSPttsg7atSolqePOeaYdMcddxSjM/IATD1PGF588cUNhjEiJEatPPHEE0W+PMiUokxtRExMfRWjaGLNj+YtptFqtV5Icz7HBAgQIECAAAECBAgQIECAAAEC3QUEQLqbSCFAgEBHCkRA4ydTecIAAEAASURBVM1vfnPDa6211mq4l3zURcNxrAtSm1Iq3vfcc8+GAEoEU2K6qK6BirhO1y3/FXKx3kdzWtfj2J8yZUr9S//48j++8I/rt9uiLfPnz0/f+ta3Uj6CpHhF3uaF12+//faUj35JTz75ZH3tj1Z1xnocEaw5++yzi/U5PvvZzxb39eqrr7bKXqxxko9gaXku1j7JR7OkG2+8seF8GMYUYF2DUL/4xS8KwwjQxBYLqh900EHFOimRPyzCN9ZQad5ierJYyN1GgAABAgQIECBAgAABAgQIECDQewEBkN6bKUGAAIFBKfCud70rPfTQQymfjqkhiBJBleagR1eAGCUS63R03WINkeYtnzIqxeiNs846q7hOPm1Xc5b6cQQ+Hn744ZRP2ZV22WWXFOtwtApGxILjp512WrGgeiy0Houg97TFiIpYXDzakE+/VYziiHU7Wm359FNp7ty5La8bdVx++eVFUOe73/1uvXjNsDkQFccrrbRSPV8Ef/7v//4vXXPNNcWr6+LntUwvv/xyilEw0Q4bAQIECBAgQIAAAQIECBAgQIBA7wUEQHpvpgQBAgQqKbBw4cLiC/v40r72mjdv3lK3NabLihEHH//4x9Pdd9+dHn/88XTTTTelgw8+OL3++utt64kRD4888kjK1wJJjz32WLryyiuLaaCiQNcRHjFdVSwO/rnPfS7VpoFqV2nkjQXDzz///PSb3/wmxTRRsSB6123BggUpX3OjCHrE4uERkIhr5+tzdM1W34+pqWK6rF/+8pfFvcU0XBEQicXGW20ReIjRF7HYe6stFmSPOiKYEQusxxYGMTVWWNZGz1x33XXdAjMxndf73ve+lK8XkmJUTiwG37zdeeedaeTIkWnSpEnNpxwTIECAAAECBAgQIECAAAECBAgshYAAyFIgyUKAAIFOELjhhhvSBhts0PDafvvtl7rp48aNK77sj2BHrFuRL2yejjrqqDRmzJhi2qZ2FcWX+REAiNEMscZIrMeRL4JeZI8v8LtuMdIhprCKoEpPW0wTFSMrYk2NaEesufG1r32toUi0LUamfPnLXy7SY42Rr371q+nQQw8tpqdqyJwfrLHGGsV0Wu95z3uKdv7oRz8qRo5EoKXVFtNqRTsvu+yyVqeLtAhcXHLJJUUgpnb/t912WzHl1Q477FCM3sgXly/6pLmSsIhRLfvuu29aZZVVmk+nK664Iu23334tz3XLLIEAAQIECBAgQIAAAQIECBAgQKCbwLB87vasW6oEAgQIECDQD4F/+7d/S+eee26aPXt2Qy0RTIjARazX0XVKqIZMFTp46qmnUgRWIhDTbqTIsmjuM888UyxAH1OJ1RZ/XxbXUScBAgSWh0A+OrD9AlDLo0GuSYAAAQIECBAgQIDAoBUYMWjvzI0RIECAwIAJTJs2LU2cOLGYtiqmjIrRGocffnj9+i+99FJ64okn0qmnnlosEt4JwY9o/NixY4tps2LtkoEMgIRVmAp+1B8hOwQIECBAgAABAgQIECBAgACBXgsYAdJrMgUIECBAoFkgpqiaPn16sYbIxhtvXEwJdeKJJ6YRI96Is0+dOjXFqJAdd9wx/dd//VdabbXVmqtwTIAAAQJDRMAIkCHS0W6TAAECBAgQIECAQAUEBEAq0AmaQIAAAQIECBAgQGCoCAiADJWedp8ECBAgQIAAAQIElr+ARdCXfx9oAQECBAgQIECAAAECBAgQIECAAAECBAgQIFCygABIyaCqI0CAAAECBAgQIECAAAECBAgQIECAAAECBJa/gADI8u8DLSBAgAABAgQIECBAgAABAgQIECBAgAABAgRKFhAAKRlUdQQIECBAgAABAgQIECBAgAABAgQIECBAgMDyFxAAWf59oAUECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAyQICICWDqo4AAQIECBAgQIAAAQIECBAgQIAAAQIECBBY/gICIMu/D7SAAAECBAgQIECAAAECBAgQIECAAAECBAgQKFlAAKRkUNURIECAAAECBAgQIECAAAECBAgQIECAAAECy19AAGT594EWECBAgAABAgQIECBAgAABAgQIECBAgAABAiULCICUDKo6AgQIECBAgAABAgQIECBAgAABAgQIECBAYPkLCIAs/z7QAgIECBAgQIAAAQIECBAgQIAAAQIECBAgQKBkAQGQkkFVR4AAAQIECBAgQIAAAQIECBAgQIAAAQIECCx/AQGQ5d8HWkCAAAECBAgQIECAAAECBAgQIECAAAECBAiULCAAUjKo6ggQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECA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AQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgw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width=\"800\">" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "HAADF, EDS = hs.load(StackName)\n", | |
| "print(f'Stack dimensions are: {EDS.data.shape}.')\n", | |
| "if BinningFactor > 1:\n", | |
| " EDS = EDS.rebin(scale=(BinningFactor, BinningFactor, 1))\n", | |
| " print(f'New stack dimensions are: {EDS.data.shape} with binning: {BinningFactor}')\n", | |
| " \n", | |
| "HAADF.save(os.path.join(f'{BinningFactor}bin QuantMap', 'HAADF.tif'), overwrite=True)\n", | |
| "\n", | |
| "if Elements is not None:\n", | |
| " EDS.add_elements(Elements) \n", | |
| "\n", | |
| "# Add the X-ray lines for quantification\n", | |
| "if Quant_Lines is None:\n", | |
| " EDS.add_lines(only_one=False) # adds best quant lines for the selected elements.\n", | |
| "else:\n", | |
| " EDS.add_lines(Quant_Lines)\n", | |
| "\n", | |
| "# Verify that the voltage, takeoff angle etc are correct.\n", | |
| "print(EDS.metadata)\n", | |
| "\n", | |
| "# Remove the zero energy calibration peak if it exists in the spectrum.\n", | |
| "# Delete all intensities <= 0 eV + 1 FWHM\n", | |
| "EnergyBinsToOrigin = -EDS.axes_manager[-1].offset / EDS.axes_manager[-1].scale\n", | |
| "EnergyBinsInFWHM = EDS.metadata.Acquisition_instrument.TEM.Detector.EDS.energy_resolution_MnKa / 1000 / EDS.axes_manager[-1].scale\n", | |
| "ZeroStart = np.ceil(EnergyBinsToOrigin + EnergyBinsInFWHM/2).astype(int)\n", | |
| "print(f'Zeroing out the first {ZeroStart} energy bins of the spectrum to eliminate the zero energy peak.')\n", | |
| "EDS.data[:,:,:ZeroStart] = 1\n", | |
| "\n", | |
| "EDS.plot()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 83, | |
| "id": "9136c7e8", | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "m = EDS.create_model()\n", | |
| "m.fit_background(bounded=True)\n", | |
| "fitresult = m.fit(optimizer='lm',bounded=True)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 84, | |
| "id": "13af3f3a", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "application/javascript": [ | |
| "/* Put everything inside the global mpl namespace */\n", | |
| "/* global mpl */\n", | |
| "window.mpl = {};\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(\n", | |
| " '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", | |
| "\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 = document.createElement('div');\n", | |
| " this.root.setAttribute('style', 'display: inline-block');\n", | |
| " this._root_extra_style(this.root);\n", | |
| "\n", | |
| " parent_element.appendChild(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 (fig.ratio !== 1) {\n", | |
| " fig.send_message('set_dpi_ratio', { dpi_ratio: fig.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", | |
| " fig.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 = document.createElement('div');\n", | |
| " titlebar.classList =\n", | |
| " 'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n", | |
| " var titletext = document.createElement('div');\n", | |
| " titletext.classList = 'ui-dialog-title';\n", | |
| " titletext.setAttribute(\n", | |
| " 'style',\n", | |
| " 'width: 100%; text-align: center; padding: 3px;'\n", | |
| " );\n", | |
| " titlebar.appendChild(titletext);\n", | |
| " this.root.appendChild(titlebar);\n", | |
| " this.header = titletext;\n", | |
| "};\n", | |
| "\n", | |
| "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n", | |
| "\n", | |
| "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n", | |
| "\n", | |
| "mpl.figure.prototype._init_canvas = function () {\n", | |
| " var fig = this;\n", | |
| "\n", | |
| " var canvas_div = (this.canvas_div = document.createElement('div'));\n", | |
| " canvas_div.setAttribute(\n", | |
| " 'style',\n", | |
| " 'border: 1px solid #ddd;' +\n", | |
| " 'box-sizing: content-box;' +\n", | |
| " 'clear: both;' +\n", | |
| " 'min-height: 1px;' +\n", | |
| " 'min-width: 1px;' +\n", | |
| " 'outline: 0;' +\n", | |
| " 'overflow: hidden;' +\n", | |
| " 'position: relative;' +\n", | |
| " 'resize: both;'\n", | |
| " );\n", | |
| "\n", | |
| " function on_keyboard_event_closure(name) {\n", | |
| " return function (event) {\n", | |
| " return fig.key_event(event, name);\n", | |
| " };\n", | |
| " }\n", | |
| "\n", | |
| " canvas_div.addEventListener(\n", | |
| " 'keydown',\n", | |
| " on_keyboard_event_closure('key_press')\n", | |
| " );\n", | |
| " canvas_div.addEventListener(\n", | |
| " 'keyup',\n", | |
| " on_keyboard_event_closure('key_release')\n", | |
| " );\n", | |
| "\n", | |
| " this._canvas_extra_style(canvas_div);\n", | |
| " this.root.appendChild(canvas_div);\n", | |
| "\n", | |
| " var canvas = (this.canvas = document.createElement('canvas'));\n", | |
| " canvas.classList.add('mpl-canvas');\n", | |
| " canvas.setAttribute('style', 'box-sizing: content-box;');\n", | |
| "\n", | |
| " this.context = canvas.getContext('2d');\n", | |
| "\n", | |
| " var backingStore =\n", | |
| " this.context.backingStorePixelRatio ||\n", | |
| " this.context.webkitBackingStorePixelRatio ||\n", | |
| " this.context.mozBackingStorePixelRatio ||\n", | |
| " this.context.msBackingStorePixelRatio ||\n", | |
| " this.context.oBackingStorePixelRatio ||\n", | |
| " this.context.backingStorePixelRatio ||\n", | |
| " 1;\n", | |
| "\n", | |
| " this.ratio = (window.devicePixelRatio || 1) / backingStore;\n", | |
| "\n", | |
| " var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n", | |
| " 'canvas'\n", | |
| " ));\n", | |
| " rubberband_canvas.setAttribute(\n", | |
| " 'style',\n", | |
| " 'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n", | |
| " );\n", | |
| "\n", | |
| " // Apply a ponyfill if ResizeObserver is not implemented by browser.\n", | |
| " if (this.ResizeObserver === undefined) {\n", | |
| " if (window.ResizeObserver !== undefined) {\n", | |
| " this.ResizeObserver = window.ResizeObserver;\n", | |
| " } else {\n", | |
| " var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n", | |
| " this.ResizeObserver = obs.ResizeObserver;\n", | |
| " }\n", | |
| " }\n", | |
| "\n", | |
| " this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n", | |
| " var nentries = entries.length;\n", | |
| " for (var i = 0; i < nentries; i++) {\n", | |
| " var entry = entries[i];\n", | |
| " var width, height;\n", | |
| " if (entry.contentBoxSize) {\n", | |
| " if (entry.contentBoxSize instanceof Array) {\n", | |
| " // Chrome 84 implements new version of spec.\n", | |
| " width = entry.contentBoxSize[0].inlineSize;\n", | |
| " height = entry.contentBoxSize[0].blockSize;\n", | |
| " } else {\n", | |
| " // Firefox implements old version of spec.\n", | |
| " width = entry.contentBoxSize.inlineSize;\n", | |
| " height = entry.contentBoxSize.blockSize;\n", | |
| " }\n", | |
| " } else {\n", | |
| " // Chrome <84 implements even older version of spec.\n", | |
| " width = entry.contentRect.width;\n", | |
| " height = entry.contentRect.height;\n", | |
| " }\n", | |
| "\n", | |
| " // Keep the size of the canvas and rubber band canvas in sync with\n", | |
| " // the canvas container.\n", | |
| " if (entry.devicePixelContentBoxSize) {\n", | |
| " // Chrome 84 implements new version of spec.\n", | |
| " canvas.setAttribute(\n", | |
| " 'width',\n", | |
| " entry.devicePixelContentBoxSize[0].inlineSize\n", | |
| " );\n", | |
| " canvas.setAttribute(\n", | |
| " 'height',\n", | |
| " entry.devicePixelContentBoxSize[0].blockSize\n", | |
| " );\n", | |
| " } else {\n", | |
| " canvas.setAttribute('width', width * fig.ratio);\n", | |
| " canvas.setAttribute('height', height * fig.ratio);\n", | |
| " }\n", | |
| " canvas.setAttribute(\n", | |
| " 'style',\n", | |
| " 'width: ' + width + 'px; height: ' + height + 'px;'\n", | |
| " );\n", | |
| "\n", | |
| " rubberband_canvas.setAttribute('width', width);\n", | |
| " rubberband_canvas.setAttribute('height', height);\n", | |
| "\n", | |
| " // And update the size in Python. We ignore the initial 0/0 size\n", | |
| " // that occurs as the element is placed into the DOM, which should\n", | |
| " // otherwise not happen due to the minimum size styling.\n", | |
| " if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n", | |
| " fig.request_resize(width, height);\n", | |
| " }\n", | |
| " }\n", | |
| " });\n", | |
| " this.resizeObserverInstance.observe(canvas_div);\n", | |
| "\n", | |
| " function on_mouse_event_closure(name) {\n", | |
| " return function (event) {\n", | |
| " return fig.mouse_event(event, name);\n", | |
| " };\n", | |
| " }\n", | |
| "\n", | |
| " rubberband_canvas.addEventListener(\n", | |
| " 'mousedown',\n", | |
| " on_mouse_event_closure('button_press')\n", | |
| " );\n", | |
| " rubberband_canvas.addEventListener(\n", | |
| " 'mouseup',\n", | |
| " on_mouse_event_closure('button_release')\n", | |
| " );\n", | |
| " rubberband_canvas.addEventListener(\n", | |
| " 'dblclick',\n", | |
| " on_mouse_event_closure('dblclick')\n", | |
| " );\n", | |
| " // Throttle sequential mouse events to 1 every 20ms.\n", | |
| " rubberband_canvas.addEventListener(\n", | |
| " 'mousemove',\n", | |
| " on_mouse_event_closure('motion_notify')\n", | |
| " );\n", | |
| "\n", | |
| " rubberband_canvas.addEventListener(\n", | |
| " 'mouseenter',\n", | |
| " on_mouse_event_closure('figure_enter')\n", | |
| " );\n", | |
| " rubberband_canvas.addEventListener(\n", | |
| " 'mouseleave',\n", | |
| " on_mouse_event_closure('figure_leave')\n", | |
| " );\n", | |
| "\n", | |
| " canvas_div.addEventListener('wheel', function (event) {\n", | |
| " if (event.deltaY < 0) {\n", | |
| " event.step = 1;\n", | |
| " } else {\n", | |
| " event.step = -1;\n", | |
| " }\n", | |
| " on_mouse_event_closure('scroll')(event);\n", | |
| " });\n", | |
| "\n", | |
| " canvas_div.appendChild(canvas);\n", | |
| " canvas_div.appendChild(rubberband_canvas);\n", | |
| "\n", | |
| " this.rubberband_context = rubberband_canvas.getContext('2d');\n", | |
| " this.rubberband_context.strokeStyle = '#000000';\n", | |
| "\n", | |
| " this._resize_canvas = function (width, height, forward) {\n", | |
| " if (forward) {\n", | |
| " canvas_div.style.width = width + 'px';\n", | |
| " canvas_div.style.height = height + 'px';\n", | |
| " }\n", | |
| " };\n", | |
| "\n", | |
| " // Disable right mouse context menu.\n", | |
| " this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n", | |
| " event.preventDefault();\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 toolbar = document.createElement('div');\n", | |
| " toolbar.classList = 'mpl-toolbar';\n", | |
| " this.root.appendChild(toolbar);\n", | |
| "\n", | |
| " function on_click_closure(name) {\n", | |
| " return function (_event) {\n", | |
| " return fig.toolbar_button_onclick(name);\n", | |
| " };\n", | |
| " }\n", | |
| "\n", | |
| " function on_mouseover_closure(tooltip) {\n", | |
| " return function (event) {\n", | |
| " if (!event.currentTarget.disabled) {\n", | |
| " return fig.toolbar_button_onmouseover(tooltip);\n", | |
| " }\n", | |
| " };\n", | |
| " }\n", | |
| "\n", | |
| " fig.buttons = {};\n", | |
| " var buttonGroup = document.createElement('div');\n", | |
| " buttonGroup.classList = 'mpl-button-group';\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", | |
| " /* Instead of a spacer, we start a new button group. */\n", | |
| " if (buttonGroup.hasChildNodes()) {\n", | |
| " toolbar.appendChild(buttonGroup);\n", | |
| " }\n", | |
| " buttonGroup = document.createElement('div');\n", | |
| " buttonGroup.classList = 'mpl-button-group';\n", | |
| " continue;\n", | |
| " }\n", | |
| "\n", | |
| " var button = (fig.buttons[name] = document.createElement('button'));\n", | |
| " button.classList = 'mpl-widget';\n", | |
| " button.setAttribute('role', 'button');\n", | |
| " button.setAttribute('aria-disabled', 'false');\n", | |
| " button.addEventListener('click', on_click_closure(method_name));\n", | |
| " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", | |
| "\n", | |
| " var icon_img = document.createElement('img');\n", | |
| " icon_img.src = '_images/' + image + '.png';\n", | |
| " icon_img.srcset = '_images/' + image + '_large.png 2x';\n", | |
| " icon_img.alt = tooltip;\n", | |
| " button.appendChild(icon_img);\n", | |
| "\n", | |
| " buttonGroup.appendChild(button);\n", | |
| " }\n", | |
| "\n", | |
| " if (buttonGroup.hasChildNodes()) {\n", | |
| " toolbar.appendChild(buttonGroup);\n", | |
| " }\n", | |
| "\n", | |
| " var fmt_picker = document.createElement('select');\n", | |
| " fmt_picker.classList = 'mpl-widget';\n", | |
| " toolbar.appendChild(fmt_picker);\n", | |
| " this.format_dropdown = fmt_picker;\n", | |
| "\n", | |
| " for (var ind in mpl.extensions) {\n", | |
| " var fmt = mpl.extensions[ind];\n", | |
| " var option = document.createElement('option');\n", | |
| " option.selected = fmt === mpl.default_extension;\n", | |
| " option.innerHTML = fmt;\n", | |
| " fmt_picker.appendChild(option);\n", | |
| " }\n", | |
| "\n", | |
| " var status_bar = document.createElement('span');\n", | |
| " status_bar.classList = 'mpl-message';\n", | |
| " toolbar.appendChild(status_bar);\n", | |
| " this.message = status_bar;\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", | |
| "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", | |
| "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], msg['forward']);\n", | |
| " fig.send_message('refresh', {});\n", | |
| " }\n", | |
| "};\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n", | |
| " var x0 = msg['x0'] / fig.ratio;\n", | |
| " var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n", | |
| " var x1 = msg['x1'] / fig.ratio;\n", | |
| " var y1 = (fig.canvas.height - msg['y1']) / fig.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,\n", | |
| " 0,\n", | |
| " fig.canvas.width / fig.ratio,\n", | |
| " fig.canvas.height / fig.ratio\n", | |
| " );\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", | |
| " 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.handle_history_buttons = function (fig, msg) {\n", | |
| " for (var key in msg) {\n", | |
| " if (!(key in fig.buttons)) {\n", | |
| " continue;\n", | |
| " }\n", | |
| " fig.buttons[key].disabled = !msg[key];\n", | |
| " fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n", | |
| " }\n", | |
| "};\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n", | |
| " if (msg['mode'] === 'PAN') {\n", | |
| " fig.buttons['Pan'].classList.add('active');\n", | |
| " fig.buttons['Zoom'].classList.remove('active');\n", | |
| " } else if (msg['mode'] === 'ZOOM') {\n", | |
| " fig.buttons['Pan'].classList.remove('active');\n", | |
| " fig.buttons['Zoom'].classList.add('active');\n", | |
| " } else {\n", | |
| " fig.buttons['Pan'].classList.remove('active');\n", | |
| " fig.buttons['Zoom'].classList.remove('active');\n", | |
| " }\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", | |
| " var img = evt.data;\n", | |
| " if (img.type !== 'image/png') {\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", | |
| " img.type = 'image/png';\n", | |
| " }\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", | |
| "\n", | |
| " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n", | |
| " img\n", | |
| " );\n", | |
| " fig.updated_canvas_event();\n", | |
| " fig.waiting = false;\n", | |
| " return;\n", | |
| " } else if (\n", | |
| " typeof evt.data === 'string' &&\n", | |
| " evt.data.slice(0, 21) === 'data:image/png;base64'\n", | |
| " ) {\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(\n", | |
| " \"No handler for the '\" + msg_type + \"' message type: \",\n", | |
| " msg\n", | |
| " );\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(\n", | |
| " \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n", | |
| " e,\n", | |
| " e.stack,\n", | |
| " msg\n", | |
| " );\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", | |
| " }\n", | |
| " if (e.target) {\n", | |
| " targ = e.target;\n", | |
| " } else if (e.srcElement) {\n", | |
| " targ = e.srcElement;\n", | |
| " }\n", | |
| " if (targ.nodeType === 3) {\n", | |
| " // defeat Safari bug\n", | |
| " targ = targ.parentNode;\n", | |
| " }\n", | |
| "\n", | |
| " // pageX,Y are the mouse positions relative to the document\n", | |
| " var boundingRect = targ.getBoundingClientRect();\n", | |
| " var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n", | |
| " var y = e.pageY - (boundingRect.top + document.body.scrollTop);\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", | |
| " }\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", | |
| " this.canvas.focus();\n", | |
| " this.canvas_div.focus();\n", | |
| " }\n", | |
| "\n", | |
| " var x = canvas_pos.x * this.ratio;\n", | |
| " var y = canvas_pos.y * this.ratio;\n", | |
| "\n", | |
| " this.send_message(name, {\n", | |
| " x: x,\n", | |
| " y: y,\n", | |
| " button: event.button,\n", | |
| " step: event.step,\n", | |
| " guiEvent: simpleKeys(event),\n", | |
| " });\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", | |
| " // Prevent repeat events\n", | |
| " if (name === 'key_press') {\n", | |
| " if (event.key === this._key) {\n", | |
| " return;\n", | |
| " } else {\n", | |
| " this._key = event.key;\n", | |
| " }\n", | |
| " }\n", | |
| " if (name === 'key_release') {\n", | |
| " this._key = null;\n", | |
| " }\n", | |
| "\n", | |
| " var value = '';\n", | |
| " if (event.ctrlKey && event.key !== 'Control') {\n", | |
| " value += 'ctrl+';\n", | |
| " }\n", | |
| " else if (event.altKey && event.key !== 'Alt') {\n", | |
| " value += 'alt+';\n", | |
| " }\n", | |
| " else if (event.shiftKey && event.key !== 'Shift') {\n", | |
| " value += 'shift+';\n", | |
| " }\n", | |
| "\n", | |
| " value += 'k' + event.key;\n", | |
| "\n", | |
| " this._key_event_extra(event, name);\n", | |
| "\n", | |
| " this.send_message(name, { key: value, 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", | |
| "\n", | |
| "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n", | |
| "// prettier-ignore\n", | |
| "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\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\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n", | |
| "\n", | |
| "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n", | |
| "\n", | |
| "mpl.default_extension = \"png\";/* global mpl */\n", | |
| "\n", | |
| "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.binaryType = comm.kernel.ws.binaryType;\n", | |
| " ws.readyState = comm.kernel.ws.readyState;\n", | |
| " function updateReadyState(_event) {\n", | |
| " if (comm.kernel.ws) {\n", | |
| " ws.readyState = comm.kernel.ws.readyState;\n", | |
| " } else {\n", | |
| " ws.readyState = 3; // Closed state.\n", | |
| " }\n", | |
| " }\n", | |
| " comm.kernel.ws.addEventListener('open', updateReadyState);\n", | |
| " comm.kernel.ws.addEventListener('close', updateReadyState);\n", | |
| " comm.kernel.ws.addEventListener('error', updateReadyState);\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", | |
| " var data = msg['content']['data'];\n", | |
| " if (data['blob'] !== undefined) {\n", | |
| " data = {\n", | |
| " data: new Blob(msg['buffers'], { type: data['blob'] }),\n", | |
| " };\n", | |
| " }\n", | |
| " // Pass the mpl event to the overridden (by mpl) onmessage function.\n", | |
| " ws.onmessage(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 = document.getElementById(id);\n", | |
| " var ws_proxy = comm_websocket_adapter(comm);\n", | |
| "\n", | |
| " function ondownload(figure, _format) {\n", | |
| " window.open(figure.canvas.toDataURL());\n", | |
| " }\n", | |
| "\n", | |
| " var fig = new mpl.figure(id, ws_proxy, ondownload, element);\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;\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", | |
| " fig.cell_info[0].output_area.element.on(\n", | |
| " 'cleared',\n", | |
| " { fig: fig },\n", | |
| " fig._remove_fig_handler\n", | |
| " );\n", | |
| "};\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_close = function (fig, msg) {\n", | |
| " var width = fig.canvas.width / fig.ratio;\n", | |
| " fig.cell_info[0].output_area.element.off(\n", | |
| " 'cleared',\n", | |
| " fig._remove_fig_handler\n", | |
| " );\n", | |
| " fig.resizeObserverInstance.unobserve(fig.canvas_div);\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.innerHTML =\n", | |
| " '<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 / this.ratio;\n", | |
| " var dataURL = this.canvas.toDataURL();\n", | |
| " this.cell_info[1]['text/html'] =\n", | |
| " '<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 () {\n", | |
| " fig.push_to_output();\n", | |
| " }, 1000);\n", | |
| "};\n", | |
| "\n", | |
| "mpl.figure.prototype._init_toolbar = function () {\n", | |
| " var fig = this;\n", | |
| "\n", | |
| " var toolbar = document.createElement('div');\n", | |
| " toolbar.classList = 'btn-toolbar';\n", | |
| " this.root.appendChild(toolbar);\n", | |
| "\n", | |
| " function on_click_closure(name) {\n", | |
| " return function (_event) {\n", | |
| " return fig.toolbar_button_onclick(name);\n", | |
| " };\n", | |
| " }\n", | |
| "\n", | |
| " function on_mouseover_closure(tooltip) {\n", | |
| " return function (event) {\n", | |
| " if (!event.currentTarget.disabled) {\n", | |
| " return fig.toolbar_button_onmouseover(tooltip);\n", | |
| " }\n", | |
| " };\n", | |
| " }\n", | |
| "\n", | |
| " fig.buttons = {};\n", | |
| " var buttonGroup = document.createElement('div');\n", | |
| " buttonGroup.classList = 'btn-group';\n", | |
| " var button;\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", | |
| " /* Instead of a spacer, we start a new button group. */\n", | |
| " if (buttonGroup.hasChildNodes()) {\n", | |
| " toolbar.appendChild(buttonGroup);\n", | |
| " }\n", | |
| " buttonGroup = document.createElement('div');\n", | |
| " buttonGroup.classList = 'btn-group';\n", | |
| " continue;\n", | |
| " }\n", | |
| "\n", | |
| " button = fig.buttons[name] = document.createElement('button');\n", | |
| " button.classList = 'btn btn-default';\n", | |
| " button.href = '#';\n", | |
| " button.title = name;\n", | |
| " button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n", | |
| " button.addEventListener('click', on_click_closure(method_name));\n", | |
| " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", | |
| " buttonGroup.appendChild(button);\n", | |
| " }\n", | |
| "\n", | |
| " if (buttonGroup.hasChildNodes()) {\n", | |
| " toolbar.appendChild(buttonGroup);\n", | |
| " }\n", | |
| "\n", | |
| " // Add the status bar.\n", | |
| " var status_bar = document.createElement('span');\n", | |
| " status_bar.classList = 'mpl-message pull-right';\n", | |
| " toolbar.appendChild(status_bar);\n", | |
| " this.message = status_bar;\n", | |
| "\n", | |
| " // Add the close button to the window.\n", | |
| " var buttongrp = document.createElement('div');\n", | |
| " buttongrp.classList = 'btn-group inline pull-right';\n", | |
| " button = document.createElement('button');\n", | |
| " button.classList = 'btn btn-mini btn-primary';\n", | |
| " button.href = '#';\n", | |
| " button.title = 'Stop Interaction';\n", | |
| " button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n", | |
| " button.addEventListener('click', function (_evt) {\n", | |
| " fig.handle_close(fig, {});\n", | |
| " });\n", | |
| " button.addEventListener(\n", | |
| " 'mouseover',\n", | |
| " on_mouseover_closure('Stop Interaction')\n", | |
| " );\n", | |
| " buttongrp.appendChild(button);\n", | |
| " var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n", | |
| " titlebar.insertBefore(buttongrp, titlebar.firstChild);\n", | |
| "};\n", | |
| "\n", | |
| "mpl.figure.prototype._remove_fig_handler = function (event) {\n", | |
| " var fig = event.data.fig;\n", | |
| " if (event.target !== this) {\n", | |
| " // Ignore bubbled events from children.\n", | |
| " return;\n", | |
| " }\n", | |
| " fig.close_ws(fig, {});\n", | |
| "};\n", | |
| "\n", | |
| "mpl.figure.prototype._root_extra_style = function (el) {\n", | |
| " el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n", | |
| "};\n", | |
| "\n", | |
| "mpl.figure.prototype._canvas_extra_style = function (el) {\n", | |
| " // this is important to make the div 'focusable\n", | |
| " el.setAttribute('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", | |
| " } else {\n", | |
| " // location in version 2\n", | |
| " IPython.keyboard_manager.register_events(el);\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", | |
| "\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", | |
| "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(\n", | |
| " 'matplotlib',\n", | |
| " mpl.mpl_figure_comm\n", | |
| " );\n", | |
| "}\n" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.Javascript object>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| }, | |
| { | |
| "data": { | |
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\" width=\"800\">" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| }, | |
| { | |
| "data": { | |
| "application/javascript": [ | |
| "/* Put everything inside the global mpl namespace */\n", | |
| "/* global mpl */\n", | |
| "window.mpl = {};\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(\n", | |
| " '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", | |
| "\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 = document.createElement('div');\n", | |
| " this.root.setAttribute('style', 'display: inline-block');\n", | |
| " this._root_extra_style(this.root);\n", | |
| "\n", | |
| " parent_element.appendChild(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 (fig.ratio !== 1) {\n", | |
| " fig.send_message('set_dpi_ratio', { dpi_ratio: fig.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", | |
| " fig.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 = document.createElement('div');\n", | |
| " titlebar.classList =\n", | |
| " 'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n", | |
| " var titletext = document.createElement('div');\n", | |
| " titletext.classList = 'ui-dialog-title';\n", | |
| " titletext.setAttribute(\n", | |
| " 'style',\n", | |
| " 'width: 100%; text-align: center; padding: 3px;'\n", | |
| " );\n", | |
| " titlebar.appendChild(titletext);\n", | |
| " this.root.appendChild(titlebar);\n", | |
| " this.header = titletext;\n", | |
| "};\n", | |
| "\n", | |
| "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n", | |
| "\n", | |
| "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n", | |
| "\n", | |
| "mpl.figure.prototype._init_canvas = function () {\n", | |
| " var fig = this;\n", | |
| "\n", | |
| " var canvas_div = (this.canvas_div = document.createElement('div'));\n", | |
| " canvas_div.setAttribute(\n", | |
| " 'style',\n", | |
| " 'border: 1px solid #ddd;' +\n", | |
| " 'box-sizing: content-box;' +\n", | |
| " 'clear: both;' +\n", | |
| " 'min-height: 1px;' +\n", | |
| " 'min-width: 1px;' +\n", | |
| " 'outline: 0;' +\n", | |
| " 'overflow: hidden;' +\n", | |
| " 'position: relative;' +\n", | |
| " 'resize: both;'\n", | |
| " );\n", | |
| "\n", | |
| " function on_keyboard_event_closure(name) {\n", | |
| " return function (event) {\n", | |
| " return fig.key_event(event, name);\n", | |
| " };\n", | |
| " }\n", | |
| "\n", | |
| " canvas_div.addEventListener(\n", | |
| " 'keydown',\n", | |
| " on_keyboard_event_closure('key_press')\n", | |
| " );\n", | |
| " canvas_div.addEventListener(\n", | |
| " 'keyup',\n", | |
| " on_keyboard_event_closure('key_release')\n", | |
| " );\n", | |
| "\n", | |
| " this._canvas_extra_style(canvas_div);\n", | |
| " this.root.appendChild(canvas_div);\n", | |
| "\n", | |
| " var canvas = (this.canvas = document.createElement('canvas'));\n", | |
| " canvas.classList.add('mpl-canvas');\n", | |
| " canvas.setAttribute('style', 'box-sizing: content-box;');\n", | |
| "\n", | |
| " this.context = canvas.getContext('2d');\n", | |
| "\n", | |
| " var backingStore =\n", | |
| " this.context.backingStorePixelRatio ||\n", | |
| " this.context.webkitBackingStorePixelRatio ||\n", | |
| " this.context.mozBackingStorePixelRatio ||\n", | |
| " this.context.msBackingStorePixelRatio ||\n", | |
| " this.context.oBackingStorePixelRatio ||\n", | |
| " this.context.backingStorePixelRatio ||\n", | |
| " 1;\n", | |
| "\n", | |
| " this.ratio = (window.devicePixelRatio || 1) / backingStore;\n", | |
| "\n", | |
| " var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n", | |
| " 'canvas'\n", | |
| " ));\n", | |
| " rubberband_canvas.setAttribute(\n", | |
| " 'style',\n", | |
| " 'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n", | |
| " );\n", | |
| "\n", | |
| " // Apply a ponyfill if ResizeObserver is not implemented by browser.\n", | |
| " if (this.ResizeObserver === undefined) {\n", | |
| " if (window.ResizeObserver !== undefined) {\n", | |
| " this.ResizeObserver = window.ResizeObserver;\n", | |
| " } else {\n", | |
| " var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n", | |
| " this.ResizeObserver = obs.ResizeObserver;\n", | |
| " }\n", | |
| " }\n", | |
| "\n", | |
| " this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n", | |
| " var nentries = entries.length;\n", | |
| " for (var i = 0; i < nentries; i++) {\n", | |
| " var entry = entries[i];\n", | |
| " var width, height;\n", | |
| " if (entry.contentBoxSize) {\n", | |
| " if (entry.contentBoxSize instanceof Array) {\n", | |
| " // Chrome 84 implements new version of spec.\n", | |
| " width = entry.contentBoxSize[0].inlineSize;\n", | |
| " height = entry.contentBoxSize[0].blockSize;\n", | |
| " } else {\n", | |
| " // Firefox implements old version of spec.\n", | |
| " width = entry.contentBoxSize.inlineSize;\n", | |
| " height = entry.contentBoxSize.blockSize;\n", | |
| " }\n", | |
| " } else {\n", | |
| " // Chrome <84 implements even older version of spec.\n", | |
| " width = entry.contentRect.width;\n", | |
| " height = entry.contentRect.height;\n", | |
| " }\n", | |
| "\n", | |
| " // Keep the size of the canvas and rubber band canvas in sync with\n", | |
| " // the canvas container.\n", | |
| " if (entry.devicePixelContentBoxSize) {\n", | |
| " // Chrome 84 implements new version of spec.\n", | |
| " canvas.setAttribute(\n", | |
| " 'width',\n", | |
| " entry.devicePixelContentBoxSize[0].inlineSize\n", | |
| " );\n", | |
| " canvas.setAttribute(\n", | |
| " 'height',\n", | |
| " entry.devicePixelContentBoxSize[0].blockSize\n", | |
| " );\n", | |
| " } else {\n", | |
| " canvas.setAttribute('width', width * fig.ratio);\n", | |
| " canvas.setAttribute('height', height * fig.ratio);\n", | |
| " }\n", | |
| " canvas.setAttribute(\n", | |
| " 'style',\n", | |
| " 'width: ' + width + 'px; height: ' + height + 'px;'\n", | |
| " );\n", | |
| "\n", | |
| " rubberband_canvas.setAttribute('width', width);\n", | |
| " rubberband_canvas.setAttribute('height', height);\n", | |
| "\n", | |
| " // And update the size in Python. We ignore the initial 0/0 size\n", | |
| " // that occurs as the element is placed into the DOM, which should\n", | |
| " // otherwise not happen due to the minimum size styling.\n", | |
| " if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n", | |
| " fig.request_resize(width, height);\n", | |
| " }\n", | |
| " }\n", | |
| " });\n", | |
| " this.resizeObserverInstance.observe(canvas_div);\n", | |
| "\n", | |
| " function on_mouse_event_closure(name) {\n", | |
| " return function (event) {\n", | |
| " return fig.mouse_event(event, name);\n", | |
| " };\n", | |
| " }\n", | |
| "\n", | |
| " rubberband_canvas.addEventListener(\n", | |
| " 'mousedown',\n", | |
| " on_mouse_event_closure('button_press')\n", | |
| " );\n", | |
| " rubberband_canvas.addEventListener(\n", | |
| " 'mouseup',\n", | |
| " on_mouse_event_closure('button_release')\n", | |
| " );\n", | |
| " rubberband_canvas.addEventListener(\n", | |
| " 'dblclick',\n", | |
| " on_mouse_event_closure('dblclick')\n", | |
| " );\n", | |
| " // Throttle sequential mouse events to 1 every 20ms.\n", | |
| " rubberband_canvas.addEventListener(\n", | |
| " 'mousemove',\n", | |
| " on_mouse_event_closure('motion_notify')\n", | |
| " );\n", | |
| "\n", | |
| " rubberband_canvas.addEventListener(\n", | |
| " 'mouseenter',\n", | |
| " on_mouse_event_closure('figure_enter')\n", | |
| " );\n", | |
| " rubberband_canvas.addEventListener(\n", | |
| " 'mouseleave',\n", | |
| " on_mouse_event_closure('figure_leave')\n", | |
| " );\n", | |
| "\n", | |
| " canvas_div.addEventListener('wheel', function (event) {\n", | |
| " if (event.deltaY < 0) {\n", | |
| " event.step = 1;\n", | |
| " } else {\n", | |
| " event.step = -1;\n", | |
| " }\n", | |
| " on_mouse_event_closure('scroll')(event);\n", | |
| " });\n", | |
| "\n", | |
| " canvas_div.appendChild(canvas);\n", | |
| " canvas_div.appendChild(rubberband_canvas);\n", | |
| "\n", | |
| " this.rubberband_context = rubberband_canvas.getContext('2d');\n", | |
| " this.rubberband_context.strokeStyle = '#000000';\n", | |
| "\n", | |
| " this._resize_canvas = function (width, height, forward) {\n", | |
| " if (forward) {\n", | |
| " canvas_div.style.width = width + 'px';\n", | |
| " canvas_div.style.height = height + 'px';\n", | |
| " }\n", | |
| " };\n", | |
| "\n", | |
| " // Disable right mouse context menu.\n", | |
| " this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n", | |
| " event.preventDefault();\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 toolbar = document.createElement('div');\n", | |
| " toolbar.classList = 'mpl-toolbar';\n", | |
| " this.root.appendChild(toolbar);\n", | |
| "\n", | |
| " function on_click_closure(name) {\n", | |
| " return function (_event) {\n", | |
| " return fig.toolbar_button_onclick(name);\n", | |
| " };\n", | |
| " }\n", | |
| "\n", | |
| " function on_mouseover_closure(tooltip) {\n", | |
| " return function (event) {\n", | |
| " if (!event.currentTarget.disabled) {\n", | |
| " return fig.toolbar_button_onmouseover(tooltip);\n", | |
| " }\n", | |
| " };\n", | |
| " }\n", | |
| "\n", | |
| " fig.buttons = {};\n", | |
| " var buttonGroup = document.createElement('div');\n", | |
| " buttonGroup.classList = 'mpl-button-group';\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", | |
| " /* Instead of a spacer, we start a new button group. */\n", | |
| " if (buttonGroup.hasChildNodes()) {\n", | |
| " toolbar.appendChild(buttonGroup);\n", | |
| " }\n", | |
| " buttonGroup = document.createElement('div');\n", | |
| " buttonGroup.classList = 'mpl-button-group';\n", | |
| " continue;\n", | |
| " }\n", | |
| "\n", | |
| " var button = (fig.buttons[name] = document.createElement('button'));\n", | |
| " button.classList = 'mpl-widget';\n", | |
| " button.setAttribute('role', 'button');\n", | |
| " button.setAttribute('aria-disabled', 'false');\n", | |
| " button.addEventListener('click', on_click_closure(method_name));\n", | |
| " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", | |
| "\n", | |
| " var icon_img = document.createElement('img');\n", | |
| " icon_img.src = '_images/' + image + '.png';\n", | |
| " icon_img.srcset = '_images/' + image + '_large.png 2x';\n", | |
| " icon_img.alt = tooltip;\n", | |
| " button.appendChild(icon_img);\n", | |
| "\n", | |
| " buttonGroup.appendChild(button);\n", | |
| " }\n", | |
| "\n", | |
| " if (buttonGroup.hasChildNodes()) {\n", | |
| " toolbar.appendChild(buttonGroup);\n", | |
| " }\n", | |
| "\n", | |
| " var fmt_picker = document.createElement('select');\n", | |
| " fmt_picker.classList = 'mpl-widget';\n", | |
| " toolbar.appendChild(fmt_picker);\n", | |
| " this.format_dropdown = fmt_picker;\n", | |
| "\n", | |
| " for (var ind in mpl.extensions) {\n", | |
| " var fmt = mpl.extensions[ind];\n", | |
| " var option = document.createElement('option');\n", | |
| " option.selected = fmt === mpl.default_extension;\n", | |
| " option.innerHTML = fmt;\n", | |
| " fmt_picker.appendChild(option);\n", | |
| " }\n", | |
| "\n", | |
| " var status_bar = document.createElement('span');\n", | |
| " status_bar.classList = 'mpl-message';\n", | |
| " toolbar.appendChild(status_bar);\n", | |
| " this.message = status_bar;\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", | |
| "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", | |
| "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], msg['forward']);\n", | |
| " fig.send_message('refresh', {});\n", | |
| " }\n", | |
| "};\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n", | |
| " var x0 = msg['x0'] / fig.ratio;\n", | |
| " var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n", | |
| " var x1 = msg['x1'] / fig.ratio;\n", | |
| " var y1 = (fig.canvas.height - msg['y1']) / fig.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,\n", | |
| " 0,\n", | |
| " fig.canvas.width / fig.ratio,\n", | |
| " fig.canvas.height / fig.ratio\n", | |
| " );\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", | |
| " 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.handle_history_buttons = function (fig, msg) {\n", | |
| " for (var key in msg) {\n", | |
| " if (!(key in fig.buttons)) {\n", | |
| " continue;\n", | |
| " }\n", | |
| " fig.buttons[key].disabled = !msg[key];\n", | |
| " fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n", | |
| " }\n", | |
| "};\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n", | |
| " if (msg['mode'] === 'PAN') {\n", | |
| " fig.buttons['Pan'].classList.add('active');\n", | |
| " fig.buttons['Zoom'].classList.remove('active');\n", | |
| " } else if (msg['mode'] === 'ZOOM') {\n", | |
| " fig.buttons['Pan'].classList.remove('active');\n", | |
| " fig.buttons['Zoom'].classList.add('active');\n", | |
| " } else {\n", | |
| " fig.buttons['Pan'].classList.remove('active');\n", | |
| " fig.buttons['Zoom'].classList.remove('active');\n", | |
| " }\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", | |
| " var img = evt.data;\n", | |
| " if (img.type !== 'image/png') {\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", | |
| " img.type = 'image/png';\n", | |
| " }\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", | |
| "\n", | |
| " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n", | |
| " img\n", | |
| " );\n", | |
| " fig.updated_canvas_event();\n", | |
| " fig.waiting = false;\n", | |
| " return;\n", | |
| " } else if (\n", | |
| " typeof evt.data === 'string' &&\n", | |
| " evt.data.slice(0, 21) === 'data:image/png;base64'\n", | |
| " ) {\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(\n", | |
| " \"No handler for the '\" + msg_type + \"' message type: \",\n", | |
| " msg\n", | |
| " );\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(\n", | |
| " \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n", | |
| " e,\n", | |
| " e.stack,\n", | |
| " msg\n", | |
| " );\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", | |
| " }\n", | |
| " if (e.target) {\n", | |
| " targ = e.target;\n", | |
| " } else if (e.srcElement) {\n", | |
| " targ = e.srcElement;\n", | |
| " }\n", | |
| " if (targ.nodeType === 3) {\n", | |
| " // defeat Safari bug\n", | |
| " targ = targ.parentNode;\n", | |
| " }\n", | |
| "\n", | |
| " // pageX,Y are the mouse positions relative to the document\n", | |
| " var boundingRect = targ.getBoundingClientRect();\n", | |
| " var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n", | |
| " var y = e.pageY - (boundingRect.top + document.body.scrollTop);\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", | |
| " }\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", | |
| " this.canvas.focus();\n", | |
| " this.canvas_div.focus();\n", | |
| " }\n", | |
| "\n", | |
| " var x = canvas_pos.x * this.ratio;\n", | |
| " var y = canvas_pos.y * this.ratio;\n", | |
| "\n", | |
| " this.send_message(name, {\n", | |
| " x: x,\n", | |
| " y: y,\n", | |
| " button: event.button,\n", | |
| " step: event.step,\n", | |
| " guiEvent: simpleKeys(event),\n", | |
| " });\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", | |
| " // Prevent repeat events\n", | |
| " if (name === 'key_press') {\n", | |
| " if (event.key === this._key) {\n", | |
| " return;\n", | |
| " } else {\n", | |
| " this._key = event.key;\n", | |
| " }\n", | |
| " }\n", | |
| " if (name === 'key_release') {\n", | |
| " this._key = null;\n", | |
| " }\n", | |
| "\n", | |
| " var value = '';\n", | |
| " if (event.ctrlKey && event.key !== 'Control') {\n", | |
| " value += 'ctrl+';\n", | |
| " }\n", | |
| " else if (event.altKey && event.key !== 'Alt') {\n", | |
| " value += 'alt+';\n", | |
| " }\n", | |
| " else if (event.shiftKey && event.key !== 'Shift') {\n", | |
| " value += 'shift+';\n", | |
| " }\n", | |
| "\n", | |
| " value += 'k' + event.key;\n", | |
| "\n", | |
| " this._key_event_extra(event, name);\n", | |
| "\n", | |
| " this.send_message(name, { key: value, 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", | |
| "\n", | |
| "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n", | |
| "// prettier-ignore\n", | |
| "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\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\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n", | |
| "\n", | |
| "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n", | |
| "\n", | |
| "mpl.default_extension = \"png\";/* global mpl */\n", | |
| "\n", | |
| "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.binaryType = comm.kernel.ws.binaryType;\n", | |
| " ws.readyState = comm.kernel.ws.readyState;\n", | |
| " function updateReadyState(_event) {\n", | |
| " if (comm.kernel.ws) {\n", | |
| " ws.readyState = comm.kernel.ws.readyState;\n", | |
| " } else {\n", | |
| " ws.readyState = 3; // Closed state.\n", | |
| " }\n", | |
| " }\n", | |
| " comm.kernel.ws.addEventListener('open', updateReadyState);\n", | |
| " comm.kernel.ws.addEventListener('close', updateReadyState);\n", | |
| " comm.kernel.ws.addEventListener('error', updateReadyState);\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", | |
| " var data = msg['content']['data'];\n", | |
| " if (data['blob'] !== undefined) {\n", | |
| " data = {\n", | |
| " data: new Blob(msg['buffers'], { type: data['blob'] }),\n", | |
| " };\n", | |
| " }\n", | |
| " // Pass the mpl event to the overridden (by mpl) onmessage function.\n", | |
| " ws.onmessage(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 = document.getElementById(id);\n", | |
| " var ws_proxy = comm_websocket_adapter(comm);\n", | |
| "\n", | |
| " function ondownload(figure, _format) {\n", | |
| " window.open(figure.canvas.toDataURL());\n", | |
| " }\n", | |
| "\n", | |
| " var fig = new mpl.figure(id, ws_proxy, ondownload, element);\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;\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", | |
| " fig.cell_info[0].output_area.element.on(\n", | |
| " 'cleared',\n", | |
| " { fig: fig },\n", | |
| " fig._remove_fig_handler\n", | |
| " );\n", | |
| "};\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_close = function (fig, msg) {\n", | |
| " var width = fig.canvas.width / fig.ratio;\n", | |
| " fig.cell_info[0].output_area.element.off(\n", | |
| " 'cleared',\n", | |
| " fig._remove_fig_handler\n", | |
| " );\n", | |
| " fig.resizeObserverInstance.unobserve(fig.canvas_div);\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.innerHTML =\n", | |
| " '<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 / this.ratio;\n", | |
| " var dataURL = this.canvas.toDataURL();\n", | |
| " this.cell_info[1]['text/html'] =\n", | |
| " '<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 () {\n", | |
| " fig.push_to_output();\n", | |
| " }, 1000);\n", | |
| "};\n", | |
| "\n", | |
| "mpl.figure.prototype._init_toolbar = function () {\n", | |
| " var fig = this;\n", | |
| "\n", | |
| " var toolbar = document.createElement('div');\n", | |
| " toolbar.classList = 'btn-toolbar';\n", | |
| " this.root.appendChild(toolbar);\n", | |
| "\n", | |
| " function on_click_closure(name) {\n", | |
| " return function (_event) {\n", | |
| " return fig.toolbar_button_onclick(name);\n", | |
| " };\n", | |
| " }\n", | |
| "\n", | |
| " function on_mouseover_closure(tooltip) {\n", | |
| " return function (event) {\n", | |
| " if (!event.currentTarget.disabled) {\n", | |
| " return fig.toolbar_button_onmouseover(tooltip);\n", | |
| " }\n", | |
| " };\n", | |
| " }\n", | |
| "\n", | |
| " fig.buttons = {};\n", | |
| " var buttonGroup = document.createElement('div');\n", | |
| " buttonGroup.classList = 'btn-group';\n", | |
| " var button;\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", | |
| " /* Instead of a spacer, we start a new button group. */\n", | |
| " if (buttonGroup.hasChildNodes()) {\n", | |
| " toolbar.appendChild(buttonGroup);\n", | |
| " }\n", | |
| " buttonGroup = document.createElement('div');\n", | |
| " buttonGroup.classList = 'btn-group';\n", | |
| " continue;\n", | |
| " }\n", | |
| "\n", | |
| " button = fig.buttons[name] = document.createElement('button');\n", | |
| " button.classList = 'btn btn-default';\n", | |
| " button.href = '#';\n", | |
| " button.title = name;\n", | |
| " button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n", | |
| " button.addEventListener('click', on_click_closure(method_name));\n", | |
| " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", | |
| " buttonGroup.appendChild(button);\n", | |
| " }\n", | |
| "\n", | |
| " if (buttonGroup.hasChildNodes()) {\n", | |
| " toolbar.appendChild(buttonGroup);\n", | |
| " }\n", | |
| "\n", | |
| " // Add the status bar.\n", | |
| " var status_bar = document.createElement('span');\n", | |
| " status_bar.classList = 'mpl-message pull-right';\n", | |
| " toolbar.appendChild(status_bar);\n", | |
| " this.message = status_bar;\n", | |
| "\n", | |
| " // Add the close button to the window.\n", | |
| " var buttongrp = document.createElement('div');\n", | |
| " buttongrp.classList = 'btn-group inline pull-right';\n", | |
| " button = document.createElement('button');\n", | |
| " button.classList = 'btn btn-mini btn-primary';\n", | |
| " button.href = '#';\n", | |
| " button.title = 'Stop Interaction';\n", | |
| " button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n", | |
| " button.addEventListener('click', function (_evt) {\n", | |
| " fig.handle_close(fig, {});\n", | |
| " });\n", | |
| " button.addEventListener(\n", | |
| " 'mouseover',\n", | |
| " on_mouseover_closure('Stop Interaction')\n", | |
| " );\n", | |
| " buttongrp.appendChild(button);\n", | |
| " var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n", | |
| " titlebar.insertBefore(buttongrp, titlebar.firstChild);\n", | |
| "};\n", | |
| "\n", | |
| "mpl.figure.prototype._remove_fig_handler = function (event) {\n", | |
| " var fig = event.data.fig;\n", | |
| " if (event.target !== this) {\n", | |
| " // Ignore bubbled events from children.\n", | |
| " return;\n", | |
| " }\n", | |
| " fig.close_ws(fig, {});\n", | |
| "};\n", | |
| "\n", | |
| "mpl.figure.prototype._root_extra_style = function (el) {\n", | |
| " el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n", | |
| "};\n", | |
| "\n", | |
| "mpl.figure.prototype._canvas_extra_style = function (el) {\n", | |
| " // this is important to make the div 'focusable\n", | |
| " el.setAttribute('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", | |
| " } else {\n", | |
| " // location in version 2\n", | |
| " IPython.keyboard_manager.register_events(el);\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", | |
| "\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", | |
| "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(\n", | |
| " 'matplotlib',\n", | |
| " mpl.mpl_figure_comm\n", | |
| " );\n", | |
| "}\n" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.Javascript object>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| }, | |
| { | |
| "data": { | |
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| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| }, | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "(0.0, 2.0)" | |
| ] | |
| }, | |
| "execution_count": 84, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "m.plot(True, norm='log')\n", | |
| "ax = plt.gca()\n", | |
| "ax.set_ylim(0.1,np.max(EDS.data))\n", | |
| "ax.set_xlim(0.0,2)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 85, | |
| "id": "77bef998", | |
| "metadata": { | |
| "scrolled": false | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "application/javascript": [ | |
| "/* Put everything inside the global mpl namespace */\n", | |
| "/* global mpl */\n", | |
| "window.mpl = {};\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(\n", | |
| " '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", | |
| "\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 = document.createElement('div');\n", | |
| " this.root.setAttribute('style', 'display: inline-block');\n", | |
| " this._root_extra_style(this.root);\n", | |
| "\n", | |
| " parent_element.appendChild(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 (fig.ratio !== 1) {\n", | |
| " fig.send_message('set_dpi_ratio', { dpi_ratio: fig.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", | |
| " fig.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 = document.createElement('div');\n", | |
| " titlebar.classList =\n", | |
| " 'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n", | |
| " var titletext = document.createElement('div');\n", | |
| " titletext.classList = 'ui-dialog-title';\n", | |
| " titletext.setAttribute(\n", | |
| " 'style',\n", | |
| " 'width: 100%; text-align: center; padding: 3px;'\n", | |
| " );\n", | |
| " titlebar.appendChild(titletext);\n", | |
| " this.root.appendChild(titlebar);\n", | |
| " this.header = titletext;\n", | |
| "};\n", | |
| "\n", | |
| "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n", | |
| "\n", | |
| "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n", | |
| "\n", | |
| "mpl.figure.prototype._init_canvas = function () {\n", | |
| " var fig = this;\n", | |
| "\n", | |
| " var canvas_div = (this.canvas_div = document.createElement('div'));\n", | |
| " canvas_div.setAttribute(\n", | |
| " 'style',\n", | |
| " 'border: 1px solid #ddd;' +\n", | |
| " 'box-sizing: content-box;' +\n", | |
| " 'clear: both;' +\n", | |
| " 'min-height: 1px;' +\n", | |
| " 'min-width: 1px;' +\n", | |
| " 'outline: 0;' +\n", | |
| " 'overflow: hidden;' +\n", | |
| " 'position: relative;' +\n", | |
| " 'resize: both;'\n", | |
| " );\n", | |
| "\n", | |
| " function on_keyboard_event_closure(name) {\n", | |
| " return function (event) {\n", | |
| " return fig.key_event(event, name);\n", | |
| " };\n", | |
| " }\n", | |
| "\n", | |
| " canvas_div.addEventListener(\n", | |
| " 'keydown',\n", | |
| " on_keyboard_event_closure('key_press')\n", | |
| " );\n", | |
| " canvas_div.addEventListener(\n", | |
| " 'keyup',\n", | |
| " on_keyboard_event_closure('key_release')\n", | |
| " );\n", | |
| "\n", | |
| " this._canvas_extra_style(canvas_div);\n", | |
| " this.root.appendChild(canvas_div);\n", | |
| "\n", | |
| " var canvas = (this.canvas = document.createElement('canvas'));\n", | |
| " canvas.classList.add('mpl-canvas');\n", | |
| " canvas.setAttribute('style', 'box-sizing: content-box;');\n", | |
| "\n", | |
| " this.context = canvas.getContext('2d');\n", | |
| "\n", | |
| " var backingStore =\n", | |
| " this.context.backingStorePixelRatio ||\n", | |
| " this.context.webkitBackingStorePixelRatio ||\n", | |
| " this.context.mozBackingStorePixelRatio ||\n", | |
| " this.context.msBackingStorePixelRatio ||\n", | |
| " this.context.oBackingStorePixelRatio ||\n", | |
| " this.context.backingStorePixelRatio ||\n", | |
| " 1;\n", | |
| "\n", | |
| " this.ratio = (window.devicePixelRatio || 1) / backingStore;\n", | |
| "\n", | |
| " var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n", | |
| " 'canvas'\n", | |
| " ));\n", | |
| " rubberband_canvas.setAttribute(\n", | |
| " 'style',\n", | |
| " 'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n", | |
| " );\n", | |
| "\n", | |
| " // Apply a ponyfill if ResizeObserver is not implemented by browser.\n", | |
| " if (this.ResizeObserver === undefined) {\n", | |
| " if (window.ResizeObserver !== undefined) {\n", | |
| " this.ResizeObserver = window.ResizeObserver;\n", | |
| " } else {\n", | |
| " var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n", | |
| " this.ResizeObserver = obs.ResizeObserver;\n", | |
| " }\n", | |
| " }\n", | |
| "\n", | |
| " this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n", | |
| " var nentries = entries.length;\n", | |
| " for (var i = 0; i < nentries; i++) {\n", | |
| " var entry = entries[i];\n", | |
| " var width, height;\n", | |
| " if (entry.contentBoxSize) {\n", | |
| " if (entry.contentBoxSize instanceof Array) {\n", | |
| " // Chrome 84 implements new version of spec.\n", | |
| " width = entry.contentBoxSize[0].inlineSize;\n", | |
| " height = entry.contentBoxSize[0].blockSize;\n", | |
| " } else {\n", | |
| " // Firefox implements old version of spec.\n", | |
| " width = entry.contentBoxSize.inlineSize;\n", | |
| " height = entry.contentBoxSize.blockSize;\n", | |
| " }\n", | |
| " } else {\n", | |
| " // Chrome <84 implements even older version of spec.\n", | |
| " width = entry.contentRect.width;\n", | |
| " height = entry.contentRect.height;\n", | |
| " }\n", | |
| "\n", | |
| " // Keep the size of the canvas and rubber band canvas in sync with\n", | |
| " // the canvas container.\n", | |
| " if (entry.devicePixelContentBoxSize) {\n", | |
| " // Chrome 84 implements new version of spec.\n", | |
| " canvas.setAttribute(\n", | |
| " 'width',\n", | |
| " entry.devicePixelContentBoxSize[0].inlineSize\n", | |
| " );\n", | |
| " canvas.setAttribute(\n", | |
| " 'height',\n", | |
| " entry.devicePixelContentBoxSize[0].blockSize\n", | |
| " );\n", | |
| " } else {\n", | |
| " canvas.setAttribute('width', width * fig.ratio);\n", | |
| " canvas.setAttribute('height', height * fig.ratio);\n", | |
| " }\n", | |
| " canvas.setAttribute(\n", | |
| " 'style',\n", | |
| " 'width: ' + width + 'px; height: ' + height + 'px;'\n", | |
| " );\n", | |
| "\n", | |
| " rubberband_canvas.setAttribute('width', width);\n", | |
| " rubberband_canvas.setAttribute('height', height);\n", | |
| "\n", | |
| " // And update the size in Python. We ignore the initial 0/0 size\n", | |
| " // that occurs as the element is placed into the DOM, which should\n", | |
| " // otherwise not happen due to the minimum size styling.\n", | |
| " if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n", | |
| " fig.request_resize(width, height);\n", | |
| " }\n", | |
| " }\n", | |
| " });\n", | |
| " this.resizeObserverInstance.observe(canvas_div);\n", | |
| "\n", | |
| " function on_mouse_event_closure(name) {\n", | |
| " return function (event) {\n", | |
| " return fig.mouse_event(event, name);\n", | |
| " };\n", | |
| " }\n", | |
| "\n", | |
| " rubberband_canvas.addEventListener(\n", | |
| " 'mousedown',\n", | |
| " on_mouse_event_closure('button_press')\n", | |
| " );\n", | |
| " rubberband_canvas.addEventListener(\n", | |
| " 'mouseup',\n", | |
| " on_mouse_event_closure('button_release')\n", | |
| " );\n", | |
| " rubberband_canvas.addEventListener(\n", | |
| " 'dblclick',\n", | |
| " on_mouse_event_closure('dblclick')\n", | |
| " );\n", | |
| " // Throttle sequential mouse events to 1 every 20ms.\n", | |
| " rubberband_canvas.addEventListener(\n", | |
| " 'mousemove',\n", | |
| " on_mouse_event_closure('motion_notify')\n", | |
| " );\n", | |
| "\n", | |
| " rubberband_canvas.addEventListener(\n", | |
| " 'mouseenter',\n", | |
| " on_mouse_event_closure('figure_enter')\n", | |
| " );\n", | |
| " rubberband_canvas.addEventListener(\n", | |
| " 'mouseleave',\n", | |
| " on_mouse_event_closure('figure_leave')\n", | |
| " );\n", | |
| "\n", | |
| " canvas_div.addEventListener('wheel', function (event) {\n", | |
| " if (event.deltaY < 0) {\n", | |
| " event.step = 1;\n", | |
| " } else {\n", | |
| " event.step = -1;\n", | |
| " }\n", | |
| " on_mouse_event_closure('scroll')(event);\n", | |
| " });\n", | |
| "\n", | |
| " canvas_div.appendChild(canvas);\n", | |
| " canvas_div.appendChild(rubberband_canvas);\n", | |
| "\n", | |
| " this.rubberband_context = rubberband_canvas.getContext('2d');\n", | |
| " this.rubberband_context.strokeStyle = '#000000';\n", | |
| "\n", | |
| " this._resize_canvas = function (width, height, forward) {\n", | |
| " if (forward) {\n", | |
| " canvas_div.style.width = width + 'px';\n", | |
| " canvas_div.style.height = height + 'px';\n", | |
| " }\n", | |
| " };\n", | |
| "\n", | |
| " // Disable right mouse context menu.\n", | |
| " this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n", | |
| " event.preventDefault();\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 toolbar = document.createElement('div');\n", | |
| " toolbar.classList = 'mpl-toolbar';\n", | |
| " this.root.appendChild(toolbar);\n", | |
| "\n", | |
| " function on_click_closure(name) {\n", | |
| " return function (_event) {\n", | |
| " return fig.toolbar_button_onclick(name);\n", | |
| " };\n", | |
| " }\n", | |
| "\n", | |
| " function on_mouseover_closure(tooltip) {\n", | |
| " return function (event) {\n", | |
| " if (!event.currentTarget.disabled) {\n", | |
| " return fig.toolbar_button_onmouseover(tooltip);\n", | |
| " }\n", | |
| " };\n", | |
| " }\n", | |
| "\n", | |
| " fig.buttons = {};\n", | |
| " var buttonGroup = document.createElement('div');\n", | |
| " buttonGroup.classList = 'mpl-button-group';\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", | |
| " /* Instead of a spacer, we start a new button group. */\n", | |
| " if (buttonGroup.hasChildNodes()) {\n", | |
| " toolbar.appendChild(buttonGroup);\n", | |
| " }\n", | |
| " buttonGroup = document.createElement('div');\n", | |
| " buttonGroup.classList = 'mpl-button-group';\n", | |
| " continue;\n", | |
| " }\n", | |
| "\n", | |
| " var button = (fig.buttons[name] = document.createElement('button'));\n", | |
| " button.classList = 'mpl-widget';\n", | |
| " button.setAttribute('role', 'button');\n", | |
| " button.setAttribute('aria-disabled', 'false');\n", | |
| " button.addEventListener('click', on_click_closure(method_name));\n", | |
| " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", | |
| "\n", | |
| " var icon_img = document.createElement('img');\n", | |
| " icon_img.src = '_images/' + image + '.png';\n", | |
| " icon_img.srcset = '_images/' + image + '_large.png 2x';\n", | |
| " icon_img.alt = tooltip;\n", | |
| " button.appendChild(icon_img);\n", | |
| "\n", | |
| " buttonGroup.appendChild(button);\n", | |
| " }\n", | |
| "\n", | |
| " if (buttonGroup.hasChildNodes()) {\n", | |
| " toolbar.appendChild(buttonGroup);\n", | |
| " }\n", | |
| "\n", | |
| " var fmt_picker = document.createElement('select');\n", | |
| " fmt_picker.classList = 'mpl-widget';\n", | |
| " toolbar.appendChild(fmt_picker);\n", | |
| " this.format_dropdown = fmt_picker;\n", | |
| "\n", | |
| " for (var ind in mpl.extensions) {\n", | |
| " var fmt = mpl.extensions[ind];\n", | |
| " var option = document.createElement('option');\n", | |
| " option.selected = fmt === mpl.default_extension;\n", | |
| " option.innerHTML = fmt;\n", | |
| " fmt_picker.appendChild(option);\n", | |
| " }\n", | |
| "\n", | |
| " var status_bar = document.createElement('span');\n", | |
| " status_bar.classList = 'mpl-message';\n", | |
| " toolbar.appendChild(status_bar);\n", | |
| " this.message = status_bar;\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", | |
| "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", | |
| "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], msg['forward']);\n", | |
| " fig.send_message('refresh', {});\n", | |
| " }\n", | |
| "};\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n", | |
| " var x0 = msg['x0'] / fig.ratio;\n", | |
| " var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n", | |
| " var x1 = msg['x1'] / fig.ratio;\n", | |
| " var y1 = (fig.canvas.height - msg['y1']) / fig.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,\n", | |
| " 0,\n", | |
| " fig.canvas.width / fig.ratio,\n", | |
| " fig.canvas.height / fig.ratio\n", | |
| " );\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", | |
| " 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.handle_history_buttons = function (fig, msg) {\n", | |
| " for (var key in msg) {\n", | |
| " if (!(key in fig.buttons)) {\n", | |
| " continue;\n", | |
| " }\n", | |
| " fig.buttons[key].disabled = !msg[key];\n", | |
| " fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n", | |
| " }\n", | |
| "};\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n", | |
| " if (msg['mode'] === 'PAN') {\n", | |
| " fig.buttons['Pan'].classList.add('active');\n", | |
| " fig.buttons['Zoom'].classList.remove('active');\n", | |
| " } else if (msg['mode'] === 'ZOOM') {\n", | |
| " fig.buttons['Pan'].classList.remove('active');\n", | |
| " fig.buttons['Zoom'].classList.add('active');\n", | |
| " } else {\n", | |
| " fig.buttons['Pan'].classList.remove('active');\n", | |
| " fig.buttons['Zoom'].classList.remove('active');\n", | |
| " }\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", | |
| " var img = evt.data;\n", | |
| " if (img.type !== 'image/png') {\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", | |
| " img.type = 'image/png';\n", | |
| " }\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", | |
| "\n", | |
| " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n", | |
| " img\n", | |
| " );\n", | |
| " fig.updated_canvas_event();\n", | |
| " fig.waiting = false;\n", | |
| " return;\n", | |
| " } else if (\n", | |
| " typeof evt.data === 'string' &&\n", | |
| " evt.data.slice(0, 21) === 'data:image/png;base64'\n", | |
| " ) {\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(\n", | |
| " \"No handler for the '\" + msg_type + \"' message type: \",\n", | |
| " msg\n", | |
| " );\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(\n", | |
| " \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n", | |
| " e,\n", | |
| " e.stack,\n", | |
| " msg\n", | |
| " );\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", | |
| " }\n", | |
| " if (e.target) {\n", | |
| " targ = e.target;\n", | |
| " } else if (e.srcElement) {\n", | |
| " targ = e.srcElement;\n", | |
| " }\n", | |
| " if (targ.nodeType === 3) {\n", | |
| " // defeat Safari bug\n", | |
| " targ = targ.parentNode;\n", | |
| " }\n", | |
| "\n", | |
| " // pageX,Y are the mouse positions relative to the document\n", | |
| " var boundingRect = targ.getBoundingClientRect();\n", | |
| " var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n", | |
| " var y = e.pageY - (boundingRect.top + document.body.scrollTop);\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", | |
| " }\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", | |
| " this.canvas.focus();\n", | |
| " this.canvas_div.focus();\n", | |
| " }\n", | |
| "\n", | |
| " var x = canvas_pos.x * this.ratio;\n", | |
| " var y = canvas_pos.y * this.ratio;\n", | |
| "\n", | |
| " this.send_message(name, {\n", | |
| " x: x,\n", | |
| " y: y,\n", | |
| " button: event.button,\n", | |
| " step: event.step,\n", | |
| " guiEvent: simpleKeys(event),\n", | |
| " });\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", | |
| " // Prevent repeat events\n", | |
| " if (name === 'key_press') {\n", | |
| " if (event.key === this._key) {\n", | |
| " return;\n", | |
| " } else {\n", | |
| " this._key = event.key;\n", | |
| " }\n", | |
| " }\n", | |
| " if (name === 'key_release') {\n", | |
| " this._key = null;\n", | |
| " }\n", | |
| "\n", | |
| " var value = '';\n", | |
| " if (event.ctrlKey && event.key !== 'Control') {\n", | |
| " value += 'ctrl+';\n", | |
| " }\n", | |
| " else if (event.altKey && event.key !== 'Alt') {\n", | |
| " value += 'alt+';\n", | |
| " }\n", | |
| " else if (event.shiftKey && event.key !== 'Shift') {\n", | |
| " value += 'shift+';\n", | |
| " }\n", | |
| "\n", | |
| " value += 'k' + event.key;\n", | |
| "\n", | |
| " this._key_event_extra(event, name);\n", | |
| "\n", | |
| " this.send_message(name, { key: value, 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", | |
| "\n", | |
| "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n", | |
| "// prettier-ignore\n", | |
| "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\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\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n", | |
| "\n", | |
| "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n", | |
| "\n", | |
| "mpl.default_extension = \"png\";/* global mpl */\n", | |
| "\n", | |
| "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.binaryType = comm.kernel.ws.binaryType;\n", | |
| " ws.readyState = comm.kernel.ws.readyState;\n", | |
| " function updateReadyState(_event) {\n", | |
| " if (comm.kernel.ws) {\n", | |
| " ws.readyState = comm.kernel.ws.readyState;\n", | |
| " } else {\n", | |
| " ws.readyState = 3; // Closed state.\n", | |
| " }\n", | |
| " }\n", | |
| " comm.kernel.ws.addEventListener('open', updateReadyState);\n", | |
| " comm.kernel.ws.addEventListener('close', updateReadyState);\n", | |
| " comm.kernel.ws.addEventListener('error', updateReadyState);\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", | |
| " var data = msg['content']['data'];\n", | |
| " if (data['blob'] !== undefined) {\n", | |
| " data = {\n", | |
| " data: new Blob(msg['buffers'], { type: data['blob'] }),\n", | |
| " };\n", | |
| " }\n", | |
| " // Pass the mpl event to the overridden (by mpl) onmessage function.\n", | |
| " ws.onmessage(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 = document.getElementById(id);\n", | |
| " var ws_proxy = comm_websocket_adapter(comm);\n", | |
| "\n", | |
| " function ondownload(figure, _format) {\n", | |
| " window.open(figure.canvas.toDataURL());\n", | |
| " }\n", | |
| "\n", | |
| " var fig = new mpl.figure(id, ws_proxy, ondownload, element);\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;\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", | |
| " fig.cell_info[0].output_area.element.on(\n", | |
| " 'cleared',\n", | |
| " { fig: fig },\n", | |
| " fig._remove_fig_handler\n", | |
| " );\n", | |
| "};\n", | |
| "\n", | |
| "mpl.figure.prototype.handle_close = function (fig, msg) {\n", | |
| " var width = fig.canvas.width / fig.ratio;\n", | |
| " fig.cell_info[0].output_area.element.off(\n", | |
| " 'cleared',\n", | |
| " fig._remove_fig_handler\n", | |
| " );\n", | |
| " fig.resizeObserverInstance.unobserve(fig.canvas_div);\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.innerHTML =\n", | |
| " '<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 / this.ratio;\n", | |
| " var dataURL = this.canvas.toDataURL();\n", | |
| " this.cell_info[1]['text/html'] =\n", | |
| " '<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 () {\n", | |
| " fig.push_to_output();\n", | |
| " }, 1000);\n", | |
| "};\n", | |
| "\n", | |
| "mpl.figure.prototype._init_toolbar = function () {\n", | |
| " var fig = this;\n", | |
| "\n", | |
| " var toolbar = document.createElement('div');\n", | |
| " toolbar.classList = 'btn-toolbar';\n", | |
| " this.root.appendChild(toolbar);\n", | |
| "\n", | |
| " function on_click_closure(name) {\n", | |
| " return function (_event) {\n", | |
| " return fig.toolbar_button_onclick(name);\n", | |
| " };\n", | |
| " }\n", | |
| "\n", | |
| " function on_mouseover_closure(tooltip) {\n", | |
| " return function (event) {\n", | |
| " if (!event.currentTarget.disabled) {\n", | |
| " return fig.toolbar_button_onmouseover(tooltip);\n", | |
| " }\n", | |
| " };\n", | |
| " }\n", | |
| "\n", | |
| " fig.buttons = {};\n", | |
| " var buttonGroup = document.createElement('div');\n", | |
| " buttonGroup.classList = 'btn-group';\n", | |
| " var button;\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", | |
| " /* Instead of a spacer, we start a new button group. */\n", | |
| " if (buttonGroup.hasChildNodes()) {\n", | |
| " toolbar.appendChild(buttonGroup);\n", | |
| " }\n", | |
| " buttonGroup = document.createElement('div');\n", | |
| " buttonGroup.classList = 'btn-group';\n", | |
| " continue;\n", | |
| " }\n", | |
| "\n", | |
| " button = fig.buttons[name] = document.createElement('button');\n", | |
| " button.classList = 'btn btn-default';\n", | |
| " button.href = '#';\n", | |
| " button.title = name;\n", | |
| " button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n", | |
| " button.addEventListener('click', on_click_closure(method_name));\n", | |
| " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", | |
| " buttonGroup.appendChild(button);\n", | |
| " }\n", | |
| "\n", | |
| " if (buttonGroup.hasChildNodes()) {\n", | |
| " toolbar.appendChild(buttonGroup);\n", | |
| " }\n", | |
| "\n", | |
| " // Add the status bar.\n", | |
| " var status_bar = document.createElement('span');\n", | |
| " status_bar.classList = 'mpl-message pull-right';\n", | |
| " toolbar.appendChild(status_bar);\n", | |
| " this.message = status_bar;\n", | |
| "\n", | |
| " // Add the close button to the window.\n", | |
| " var buttongrp = document.createElement('div');\n", | |
| " buttongrp.classList = 'btn-group inline pull-right';\n", | |
| " button = document.createElement('button');\n", | |
| " button.classList = 'btn btn-mini btn-primary';\n", | |
| " button.href = '#';\n", | |
| " button.title = 'Stop Interaction';\n", | |
| " button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n", | |
| " button.addEventListener('click', function (_evt) {\n", | |
| " fig.handle_close(fig, {});\n", | |
| " });\n", | |
| " button.addEventListener(\n", | |
| " 'mouseover',\n", | |
| " on_mouseover_closure('Stop Interaction')\n", | |
| " );\n", | |
| " buttongrp.appendChild(button);\n", | |
| " var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n", | |
| " titlebar.insertBefore(buttongrp, titlebar.firstChild);\n", | |
| "};\n", | |
| "\n", | |
| "mpl.figure.prototype._remove_fig_handler = function (event) {\n", | |
| " var fig = event.data.fig;\n", | |
| " if (event.target !== this) {\n", | |
| " // Ignore bubbled events from children.\n", | |
| " return;\n", | |
| " }\n", | |
| " fig.close_ws(fig, {});\n", | |
| "};\n", | |
| "\n", | |
| "mpl.figure.prototype._root_extra_style = function (el) {\n", | |
| " el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n", | |
| "};\n", | |
| "\n", | |
| "mpl.figure.prototype._canvas_extra_style = function (el) {\n", | |
| " // this is important to make the div 'focusable\n", | |
| " el.setAttribute('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", | |
| " } else {\n", | |
| " // location in version 2\n", | |
| " IPython.keyboard_manager.register_events(el);\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", | |
| "\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", | |
| "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(\n", | |
| " 'matplotlib',\n", | |
| " mpl.mpl_figure_comm\n", | |
| " );\n", | |
| "}\n" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.Javascript object>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| }, | |
| { | |
| "data": { | |
| "text/html": [ | |
| "<img 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