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Pandeia Quick Start.ipynb
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"# Installation procedure\n",
"\n",
"## Astroconda\n",
"\n",
"It is encourage that users install AstroConda in order to have easy access to some of the dependecies required by the Pandeia engine. Please see the [AstroConda documentation](http://astroconda.readthedocs.io/en/latest/installation.html#install-astroconda) for instructions on setting up your environment.\n",
"\n",
"\n",
"## Pandeia\n",
"\n",
"Pandeia can be installed via the Python package index using the following command\n",
"\n",
"```bash\n",
"pip install pandeia.engine\n",
"```\n",
"\n",
"which will install Pandeia into your local environment.\n",
"\n",
"> **Note**: \n",
"> Pandeia currently only supports Python 2.7. Please be sure that your environment uses the correct version.\n",
"\n",
"This will provide the user will the relevant core engine package for performing exposure time calculations. The engine is observatory-agnostic, meaning that the package does not come with any prescience about the calculations the user wishes to perform. In order to allow JWST calculations with Pandeia, the user must download the relevant data and configuration files.\n",
"\n",
"\n",
"## Environment\n",
"\n",
"As mentioned, the user must provide their own reference data files in order for the engine to understand the instrument with which the calculations will be performed.\n",
"\n",
"For JWST, the user may download the required reference data [here](http://ssb.stsci.edu/pandeia/engine/1.0/pandeia_data-1.0.tar.gz). Unpack and store the data in a choice location.\n",
"\n",
"Likewise, the user may wish to install specific data for use with the PySynPhot package Pandeia uses. For users at Space Telescope and connected to the local intranet, the files are already accessible (this tutorial assumes users are at the institute and able to access the central storage).\n",
"\n",
"Before running any calculations, environment variables must be set:\n",
"\n",
"- To tell Pandeia where to find the reference data files\n",
"```bash\n",
"export pandeia_refdata=/path/to/reference/data/directory\n",
"```\n",
"- To tell Pandeia where to find the CDBS for PySynPhot\n",
"```bash\n",
"export PYSYN_CDBS=/eng/ssb/pyetc/cdbs_trees/cdbs.23.1.rc3\n",
"```\n",
"\n",
"These can be added to your shell startup script or set directly in your python scripts.\n",
"\n",
"\n",
"## Dependencies\n",
"\n",
"- **PyFFTW**: Your environment must have access to the PyFFTW package. This can be downloaded through AstroConda\n",
"```bash\n",
"conda install pyfftw\n",
"```\n",
"Otherwise, the fftw libraries must be built using e.g. [Homebrew](http://brew.sh), and the python package installed through PyPI\n",
"```bash\n",
"pip install pyfftw\n",
"```\n",
"\n",
"If you have access to AstroConda, a simple one-liner for installing depencies can be performed with\n",
"\n",
"```bash\n",
"conda install numpy scipy astropy pyfttw pysynphot photutils\n",
"```"
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"# Calculation files\n",
"\n",
"The Pandeia engine uses a data-driven approach in which users create instruction astronomical *scenes* populated with *sources* and qualified with some set of parameters in order to generated appropriate calculations.\n",
"\n",
"These calculation files are written in `JSON` and fed into Pandeia. An example `JSON` scene file can be seen below for the MIRI Imager\n",
"\n",
"```json\n",
"{\n",
" \"background\": \"medium\",\n",
" \"calculation\": {\n",
" \"effects\": {\n",
" \"background\": true,\n",
" \"ipc\": true,\n",
" \"saturation\": true\n",
" },\n",
" \"noise\": {\n",
" \"crs\": true,\n",
" \"darkcurrent\": true,\n",
" \"ffnoise\": true,\n",
" \"readnoise\": true,\n",
" \"rn_correlation\": true\n",
" }\n",
" },\n",
" \"configuration\": {\n",
" \"detector\": {\n",
" \"nexp\": 1,\n",
" \"ngroup\": 10,\n",
" \"nint\": 10,\n",
" \"readmode\": \"fast\",\n",
" \"subarray\": \"full\"\n",
" },\n",
" \"dynamic_scene\": true,\n",
" \"instrument\": {\n",
" \"aperture\": \"imager\",\n",
" \"disperser\": null,\n",
" \"filter\": \"f560w\",\n",
" \"instrument\": \"miri\",\n",
" \"mode\": \"imaging\"\n",
" },\n",
" \"max_scene_size\": 40.0,\n",
" \"scene_size\": 6.0\n",
" },\n",
" \"scene\": [\n",
" {\n",
" \"id\": 1,\n",
" \"position\": {\n",
" \"orientation\": 0.0,\n",
" \"x_offset\": 0.0,\n",
" \"y_offset\": 0.0\n",
" },\n",
" \"shape\": {\n",
" \"geometry\": \"point\"\n",
" },\n",
" \"spectrum\": {\n",
" \"extinction\": {\n",
" \"bandpass\": \"v\",\n",
" \"law\": \"mw_rv_31\",\n",
" \"unit\": \"mag\",\n",
" \"value\": 0.0\n",
" },\n",
" \"lines\": [],\n",
" \"name\": \"generic source\",\n",
" \"normalization\": {\n",
" \"norm_flux\": 0.1,\n",
" \"norm_fluxunit\": \"mjy\",\n",
" \"norm_wave\": 2.0,\n",
" \"norm_waveunit\": \"microns\",\n",
" \"type\": \"at_lambda\"\n",
" },\n",
" \"redshift\": 0.0,\n",
" \"sed\": {\n",
" \"sed_type\": \"flat\",\n",
" \"unit\": \"fnu\"\n",
" }\n",
" }\n",
" }\n",
" ],\n",
" \"strategy\": {\n",
" \"aperture_size\": 0.24,\n",
" \"background_subtraction\": true,\n",
" \"display_string\": \"Imaging Aperture Photometry\",\n",
" \"method\": \"imagingapphot\",\n",
" \"sky_annulus\": [\n",
" 0.72,\n",
" 0.96\n",
" ],\n",
" \"target_source\": 1,\n",
" \"target_type\": \"\",\n",
" \"target_xy\": [\n",
" 0.0,\n",
" 0.0\n",
" ],\n",
" \"units\": \"arcsec\"\n",
" }\n",
"}\n",
"```"
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"The above calculation file places a single point source with no extinction at the very center of the scene. The point source, as well as the scene, can be parameterized in many ways (to get a visual feel for the options available, take a look at the [JWST ETC](https://jwst.etc.stsci.edu/))."
]
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"# Running calculations\n",
"\n",
"Now that the package has been properly installed and an understanding of how to dictate the parameter space of the calculations has been established, the user is able to perform the exposure time calculation.\n",
"\n",
"In a new python file, the user need only import the `perform_engine` function from the Pandeia package. Along with this, the `JSON` library must also be included so that the user is able to read in the scene file they have created."
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"# Import relevant libraries\n",
"from pandeia.engine.perform_calculation import perform_calculation\n",
"import json\n",
"\n",
"# Load in your scene file\n",
"with open(\"./miri_imager_file.json\") as f:\n",
" imgr_data = json.load(f)"
]
},
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"source": [
"The user now has access to the `calc_data` object, which is a simple python dictionary. By editing parameters in this object, the user may tweak their calculations."
]
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"# Change the flux value of the source\n",
"imgr_data['scene'][0]['spectrum']['normalization']['norm_flux'] = 100\n",
"\n",
"# Perform a calculation\n",
"results = perform_calculation(imgr_data)"
]
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"The `results` object is another dictionary that contains all the information generated by performing the calculation."
]
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"\n",
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
" // Request the server to send over a new figure.\n",
" fig.send_draw_message();\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
" fig.image_mode = msg['mode'];\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Called whenever the canvas gets updated.\n",
" this.send_message(\"ack\", {});\n",
"}\n",
"\n",
"// A function to construct a web socket function for onmessage handling.\n",
"// Called in the figure constructor.\n",
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" evt.data.type = \"image/png\";\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src);\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig[\"handle_\" + msg_type];\n",
" } catch (e) {\n",
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" // select the cell after this one\n",
" var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
" IPython.notebook.select(index + 1);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
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"output_type": "display_data"
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width=\"640\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
"<matplotlib.image.AxesImage at 0x10ce2b850>"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"%matplotlib notebook\n",
"\n",
"import matplotlib.pyplot as plt\n",
"\n",
"f, ax = plt.subplots()\n",
"\n",
"ax.imshow(results['2d']['saturation'])"
]
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"# Batch mode\n",
"\n",
"This system allows for very straight forward iteration over parameter space values."
]
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"## Saturation"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [],
"source": [
"import numpy as np\n",
"\n",
"# Load in a calculation file, in this case the MIRI coronagraph\n",
"with open(\"./miri_coro_file.json\") as f:\n",
" coro_data = json.load(f)\n",
" \n",
"# Define some variables for saturation exploration\n",
"tot_none, tot_soft, tot_hard = [], [], []\n",
"flux_range = np.linspace(0.1, 1e8, 10)\n",
" \n",
"# Loop over some flux range to discern saturation levels\n",
"for flux in flux_range:\n",
" # Set the flux value\n",
" coro_data['scene'][0]['spectrum']['normalization']['norm_flux'] = flux\n",
" \n",
" # Perform a calculation\n",
" results = perform_calculation(coro_data)\n",
" \n",
" # Store the saturation so it's easily accessible\n",
" saturation = results['2d']['saturation']\n",
" \n",
" tot_none.append(len(saturation[saturation==0]))\n",
" tot_soft.append(len(saturation[saturation==1]))\n",
" tot_hard.append(len(saturation[saturation==2]))"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [
{
"data": {
"application/javascript": [
"/* Put everything inside the global mpl namespace */\n",
"window.mpl = {};\n",
"\n",
"\n",
"mpl.get_websocket_type = function() {\n",
" if (typeof(WebSocket) !== 'undefined') {\n",
" return WebSocket;\n",
" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
" return MozWebSocket;\n",
" } else {\n",
" alert('Your browser does not have WebSocket support.' +\n",
" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
" 'Firefox 4 and 5 are also supported but you ' +\n",
" 'have to enable WebSockets in about:config.');\n",
" };\n",
"}\n",
"\n",
"mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
" this.id = figure_id;\n",
"\n",
" this.ws = websocket;\n",
"\n",
" this.supports_binary = (this.ws.binaryType != undefined);\n",
"\n",
" if (!this.supports_binary) {\n",
" var warnings = document.getElementById(\"mpl-warnings\");\n",
" if (warnings) {\n",
" warnings.style.display = 'block';\n",
" warnings.textContent = (\n",
" \"This browser does not support binary websocket messages. \" +\n",
" \"Performance may be slow.\");\n",
" }\n",
" }\n",
"\n",
" this.imageObj = new Image();\n",
"\n",
" this.context = undefined;\n",
" this.message = undefined;\n",
" this.canvas = undefined;\n",
" this.rubberband_canvas = undefined;\n",
" this.rubberband_context = undefined;\n",
" this.format_dropdown = undefined;\n",
"\n",
" this.image_mode = 'full';\n",
"\n",
" this.root = $('<div/>');\n",
" this._root_extra_style(this.root)\n",
" this.root.attr('style', 'display: inline-block');\n",
"\n",
" $(parent_element).append(this.root);\n",
"\n",
" this._init_header(this);\n",
" this._init_canvas(this);\n",
" this._init_toolbar(this);\n",
"\n",
" var fig = this;\n",
"\n",
" this.waiting = false;\n",
"\n",
" this.ws.onopen = function () {\n",
" fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
" fig.send_message(\"send_image_mode\", {});\n",
" if (mpl.ratio != 1) {\n",
" fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
" }\n",
" fig.send_message(\"refresh\", {});\n",
" }\n",
"\n",
" this.imageObj.onload = function() {\n",
" if (fig.image_mode == 'full') {\n",
" // Full images could contain transparency (where diff images\n",
" // almost always do), so we need to clear the canvas so that\n",
" // there is no ghosting.\n",
" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
" }\n",
" fig.context.drawImage(fig.imageObj, 0, 0);\n",
" };\n",
"\n",
" this.imageObj.onunload = function() {\n",
" this.ws.close();\n",
" }\n",
"\n",
" this.ws.onmessage = this._make_on_message_function(this);\n",
"\n",
" this.ondownload = ondownload;\n",
"}\n",
"\n",
"mpl.figure.prototype._init_header = function() {\n",
" var titlebar = $(\n",
" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
" 'ui-helper-clearfix\"/>');\n",
" var titletext = $(\n",
" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
" 'text-align: center; padding: 3px;\"/>');\n",
" titlebar.append(titletext)\n",
" this.root.append(titlebar);\n",
" this.header = titletext[0];\n",
"}\n",
"\n",
"\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._init_canvas = function() {\n",
" var fig = this;\n",
"\n",
" var canvas_div = $('<div/>');\n",
"\n",
" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
"\n",
" function canvas_keyboard_event(event) {\n",
" return fig.key_event(event, event['data']);\n",
" }\n",
"\n",
" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
" this.canvas_div = canvas_div\n",
" this._canvas_extra_style(canvas_div)\n",
" this.root.append(canvas_div);\n",
"\n",
" var canvas = $('<canvas/>');\n",
" canvas.addClass('mpl-canvas');\n",
" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
"\n",
" this.canvas = canvas[0];\n",
" this.context = canvas[0].getContext(\"2d\");\n",
"\n",
" var backingStore = this.context.backingStorePixelRatio ||\n",
"\tthis.context.webkitBackingStorePixelRatio ||\n",
"\tthis.context.mozBackingStorePixelRatio ||\n",
"\tthis.context.msBackingStorePixelRatio ||\n",
"\tthis.context.oBackingStorePixelRatio ||\n",
"\tthis.context.backingStorePixelRatio || 1;\n",
"\n",
" mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
"\n",
" var rubberband = $('<canvas/>');\n",
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
"\n",
" var pass_mouse_events = true;\n",
"\n",
" canvas_div.resizable({\n",
" start: function(event, ui) {\n",
" pass_mouse_events = false;\n",
" },\n",
" resize: function(event, ui) {\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" stop: function(event, ui) {\n",
" pass_mouse_events = true;\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" });\n",
"\n",
" function mouse_event_fn(event) {\n",
" if (pass_mouse_events)\n",
" return fig.mouse_event(event, event['data']);\n",
" }\n",
"\n",
" rubberband.mousedown('button_press', mouse_event_fn);\n",
" rubberband.mouseup('button_release', mouse_event_fn);\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
"\n",
" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
"\n",
" canvas_div.on(\"wheel\", function (event) {\n",
" event = event.originalEvent;\n",
" event['data'] = 'scroll'\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" mouse_event_fn(event);\n",
" });\n",
"\n",
" canvas_div.append(canvas);\n",
" canvas_div.append(rubberband);\n",
"\n",
" this.rubberband = rubberband;\n",
" this.rubberband_canvas = rubberband[0];\n",
" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
" this.rubberband_context.strokeStyle = \"#000000\";\n",
"\n",
" this._resize_canvas = function(width, height) {\n",
" // Keep the size of the canvas, canvas container, and rubber band\n",
" // canvas in synch.\n",
" canvas_div.css('width', width)\n",
" canvas_div.css('height', height)\n",
"\n",
" canvas.attr('width', width * mpl.ratio);\n",
" canvas.attr('height', height * mpl.ratio);\n",
" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
"\n",
" rubberband.attr('width', width);\n",
" rubberband.attr('height', height);\n",
" }\n",
"\n",
" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
" // upon first draw.\n",
" this._resize_canvas(600, 600);\n",
"\n",
" // Disable right mouse context menu.\n",
" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
" return false;\n",
" });\n",
"\n",
" function set_focus () {\n",
" canvas.focus();\n",
" canvas_div.focus();\n",
" }\n",
"\n",
" window.setTimeout(set_focus, 100);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" // put a spacer in here.\n",
" continue;\n",
" }\n",
" var button = $('<button/>');\n",
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
" 'ui-button-icon-only');\n",
" button.attr('role', 'button');\n",
" button.attr('aria-disabled', 'false');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
"\n",
" var icon_img = $('<span/>');\n",
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
" icon_img.addClass(image);\n",
" icon_img.addClass('ui-corner-all');\n",
"\n",
" var tooltip_span = $('<span/>');\n",
" tooltip_span.addClass('ui-button-text');\n",
" tooltip_span.html(tooltip);\n",
"\n",
" button.append(icon_img);\n",
" button.append(tooltip_span);\n",
"\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" var fmt_picker_span = $('<span/>');\n",
"\n",
" var fmt_picker = $('<select/>');\n",
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
" fmt_picker_span.append(fmt_picker);\n",
" nav_element.append(fmt_picker_span);\n",
" this.format_dropdown = fmt_picker[0];\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = $(\n",
" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
" fmt_picker.append(option)\n",
" }\n",
"\n",
" // Add hover states to the ui-buttons\n",
" $( \".ui-button\" ).hover(\n",
" function() { $(this).addClass(\"ui-state-hover\");},\n",
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
" );\n",
"\n",
" var status_bar = $('<span class=\"mpl-message\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"}\n",
"\n",
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
"}\n",
"\n",
"mpl.figure.prototype.send_message = function(type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"}\n",
"\n",
"mpl.figure.prototype.send_draw_message = function() {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
" }\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1]);\n",
" fig.send_message(\"refresh\", {});\n",
" };\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
" var x0 = msg['x0'] / mpl.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
" var x1 = msg['x1'] / mpl.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0, 0, fig.canvas.width, fig.canvas.height);\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
" var cursor = msg['cursor'];\n",
" switch(cursor)\n",
" {\n",
" case 0:\n",
" cursor = 'pointer';\n",
" break;\n",
" case 1:\n",
" cursor = 'default';\n",
" break;\n",
" case 2:\n",
" cursor = 'crosshair';\n",
" break;\n",
" case 3:\n",
" cursor = 'move';\n",
" break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = cursor;\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
" // Request the server to send over a new figure.\n",
" fig.send_draw_message();\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
" fig.image_mode = msg['mode'];\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Called whenever the canvas gets updated.\n",
" this.send_message(\"ack\", {});\n",
"}\n",
"\n",
"// A function to construct a web socket function for onmessage handling.\n",
"// Called in the figure constructor.\n",
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" evt.data.type = \"image/png\";\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src);\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig[\"handle_\" + msg_type];\n",
" } catch (e) {\n",
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" // select the cell after this one\n",
" var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
" IPython.notebook.select(index + 1);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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/nySvx85PXDg9wMYX3zxBVu3bn2uP4JyFIDiS7UyAJ1OJ1+Zs4MWq43dx4UxK7fI7CGJSB3lrwF4ZuwrVqzgqFGj2K1bN55//vmuU7ZTpkxxnR4t7cILL+TMmTNJ/vEAJMl//vOfbNSoER9++GFOnjzZ7RRodnY23377bV533XVs2bIlmzZtyvPOO4+DBg1y7eNJAN53333lxrN9+3Y+/PDDbNu2LZs1a8YLLriAABgdHU2yagG4dOlS1q9fn3a73W2fzp0784MPPiBpBOAFF1zg9vqiRYtYr169s/55VUQBKL5UKwOQJE/lF7HH+NW0WG38z6ztdFbx1IeIiDf54yngyrzwwgv8y1/+QtL3AUiSO3fu5NixY9mtWzc2a9aMW7ZsIUn+5z//4VVXXcVFixZx9+7djI+PZ6dOndxOtVYUgB988AFvuukmt+c+/vjjCq8BLC0nJ4etWrXi008/zfXr13Pfvn1cvnw5ATAyMpKkdwOwZcuWbq8vXrzYdR1jdSgA/dPlAH4EkAEgH8AeALeUer0egFEAUkpeXwWgQ5n3aAzgi5L3yAGwEEDrMvtcDGAOgNMAsgBMA9CsGuOstQFIkrsOn2T7ocG0WG2ctTnB7OGISB3kj5NAKjNx4kS2atWK5NlPAW/bto1kxQE4ZswYBgUFVfuzb7/9dr7++uskyaCgII4aNcr1WnZ2Nlu2bOkWgB06dOAnn3zi9h5ffvklL730UrcDAk8//fQ5A3D79u0E4Pazzp492y0AN23aRABMT3dfhqyqp4AXLFhAUgFY110EIBHAdAB/BXAlgPsBXF1qHyuMYOsH4CYASwEcghF9Z3wFIBnAPQC6AtgCYFOZzwoFEAXgNgB3AogHMLcaY63VAUiS3284RIvVxg5DQ7j3aJbZwxGROsYfAzA9PZ133303Z8+ezV27dvHQoUOcP38+W7duzeeff56kcalN586d2aNHD+7YsYPh4eFuk0DIigNwzpw5bNq0KSMjI3nixIkKJ5kcOnSIgwcP5ubNm5mYmMjly5ezVatW/PLLL0mSjz32GDt37szIyEhGRUXxkUceYfPmzd0CsFevXuzbty+PHDnCEydOkCRjYmJYr149fvTRRzxw4AA///xzXnTRRecMwLS0NDZs2JCDBg3iwYMHuXTpUl5zzTVuAXjkyBHWq1ePM2bMYFpamuvawLKTQPr168frr7+eGzZsYFRUFB944IFyk0AUgHXXRwA2nOX1ejCO/L1T6rmWAAoA9C/1dRGAJ0rtcx2MX/btJV93LPm69JHFBwA4AbSp4lhrfQA6nU6+MCOCFquNd09Yw+yCYrOHJCJ1iD8GYEFBAQcPHsybb76ZLVu25AUXXMBrr72Ww4YNc5u1e7ZlYMiKA7CgoICPP/44L7zwwkqXgUlNTeWjjz7Kyy67jA0bNqTFYuHw4cPpcDhIGsuu3H333WzSpAnbtm3Lzz//vFxobdmyhTfddBMbNWrkFk9fffUV27Zty6ZNm/K5557jmDFjzhmAJDl37ly2a9eOjRo1Yrdu3fjrr7+6BSBJjho1in/+859Zr169cy4D07JlSzZp0oS9e/eucBmY0hSAdUcMgEkAFgBIAxAJ4KVSr18F45fWucz3rQMwpeTxPSX7XFhmnyQAb5U8fh7AyTKv1wdgB/BYJWNrBOMvy5ntctTyACTJzJxC3j52FS1WG9/8OVLXA4pIjfHHAJTAoAD0PwUl21gAXQD8G8Z1fgNKXu8O45d2WZnvmw9gXsnjpwEUVvDeEQDGlzweCiC2gn3SALxcydhGosxil/CDACTJiIQMXjXEuB5w/rbkc3+DiIgXKADFLApA/1MEYHOZ5z6DcQ0fYG4A+uURwDOmhsXRYrXxumGhjD9uzr0ZRaRuUQCKWRSA/icJwPdlnnsZwNGSx2aeAi6r1l8DWJrd4eT/+24rLVYb7/90HfOL7Of+JhERDygAxSwKQP8zF+UngUzC70cFz0wCebvU6y1Q8SSQx0vtcy0qngTStdQ+9yPAJoGUdfx0Prt+uIIWq41DFu02ezgiEuAUgGIWBaD/uRVAMYxTtO1hnM7NBfD/Su1jhXH0ri+AGwEsQcXLwCQBuBtG5G1G+VPLoQB2wlhu5g4AcQiwZWAqsiHuBNsNttFitfG3XUfNHo6IBDAFoJhFAeifHoax+HMBgH1wnwUM/L4QdGrJPqsAXFNmnzMLQWfCCMhFAP5cZp+LYQRfNoBTAH5AAC0EfTYfL9tHi9XGoOHLmJhevdsjiYhUlQJQzKIAFF/y2wAstjv4+JebaLHa+MjUDSwsdpg9JBEJQApAMYsCUHzJbwOQJI+ezGOnD5bTYrVx1G/RZg9HRAKQAlDMogAUX/LrACTJFdGptFiN6wFXRqee+xtERKpBAShmUQCKL/l9AJLkB79G02K1sdMHy3n0ZN65v0FEpIoUgNUDgIsXLzZ7GD5nsVg4adIkn36GAlB8KSACsKDYzoc/20CL1cbHv9zEYruuBxQR7/DXAKzsnrhr1qwhAJ48edInnwsfB6Cv37+siu7tS5JpaWnMzc316WcrAMWXAiIASTIxPYc3DF9Gi9XGCcv2mz0cEQkQCsDyCgsLK30NfhKAZ/sZSqssAGuCAlB8KWACkCR/jTpKi9XGdoNt3BB3wuzhiEgACPQATE9PZ//+/dmmTRs2adKEQUFBnDt3rtv39OzZk6+++ioHDhzIVq1a8a677iJJxsXFsUePHmzUqBE7duzIFStWnDPQFixYwKCgIDZu3JgXX3wx7733XubkGEt5RURE8L777mOrVq3YokUL/u1vf+OOHTtc32uxWNzuY2+xWCr9WQcOHMiePXue82eYOHEig4KCeMEFF/CKK67gyy+/zOzsbLc/q9LbiBEjXGMpfQo4KSmJffv2ZdOmTdm8eXM++eSTTE39/br0ESNGsFOnTpw1axYtFgtbtGjBp556iqdPV35bUwWg+FJABSBJDl64mxarjV0/XMm00wVmD0dE/FxF/wg7nU7mFuXW+OZ0Oqs87qoG4JEjRzhhwgRGRkby4MGD/Oyzz3j++eczPDzc9T09e/Zks2bNOGjQIO7fv5/79++nw+FgUFAQ7733XkZFRXHdunXs0qXLWQPw2LFjrF+/Pj/99FMmJCRw9+7d/OKLL1zBFRYWxtmzZ3Pfvn2MiYnhCy+8wNatW7siKS0tjQA4ffp0pqSkMC0trdKftaIALPszkOSkSZO4evVqJiQkMCwsjNdeey1ffvllksZRwsmTJ7NFixZMSUlhSkqKa6ylA9DhcLBz58688847uX37dm7dupVdu3Z1+/wRI0awWbNm/Pvf/849e/Zw/fr1/POf/8yhQ4dW+jtUAIovBVwA5hfZef+n62ix2vj/vttKh6Pq/8EUESmron+Ec4tyGTQjqMa33KKqX3M2YMAAnn/++WzatKnb1rhx43OeAu7Tpw/ffvtt19c9e/Zkly5d3PZZvnw569evz6NHf78bU2ho6FkDcMeOHQTAxMTEKv0MDoeDzZs352+//eZ6rqL3r2oAlv0ZKrJgwQK2atXK9XVlp4BLB+CKFSt4/vnnMzk52fV6dHQ0ATAiIoKkEYAXXHCB2xG/QYMG8bbbbqt0LApA8aWAC0CSjEs9zWuHhdBitfHz1fFmD0dE/Jg/B+B9993H+Ph4t+3HH390C0C73c5Ro0YxKCiIF110EZs2bcr69evzySefdL1Xz549+eKLL7q9/+TJk3nllVe6PZeVlXXWALTb7bz33nvZvHlzPvHEE/z222+ZmZnpej01NZUvvvgi27dvzxYtWrBp06asV68ev/jiC9c+Fb1/VQOw7M9AkitXruQ999zDNm3asFmzZq5APjPBoyoBOGXKFLZr167cPhdeeCFnzpxJ0gjA66+/3u31Tz/9tNyfYWkKQPGlgAxAkpy3LZkWq41XDQlmREKG2cMRET8V6KeAx40bx1atWnH27NmMiopifHw8+/Tp4/a9PXv25MCBA93e548E4Jk/u40bN3L48OG88cYbeckll/DQoUMkyd69e/OWW25hcHAw9+7dy/j4eP7pT39yu9auovf/17/+xb59+7o998orr5QLwLI/Q0JCAhs1asQ333yTW7ZsYWxsLKdNm+b25+PNAOzUqZPb65MmTXJdx1gRBaD4UsAGoNPp5MCfdtJitfH2sauYmVO1GV8iIqUF+iSQhx9+mM8//7zrdYfDwQ4dOpwzAM+cAj527JjruWXLllVrlq7dbufll1/OiRMnkiSbNWvGWbNmuV5PTk4mALcAbNCgAX/55Re393n33Xd56623uj3XvXv3cwbgL7/8wgYNGtDh+H3psA8//NDtz2fOnDls1qxZubFX9RTwtm3bSCoApfYJ2AAkyeyCYt41YQ0tVhtfmBFRrf97FhEhAz8A33rrLbZt25abNm1iTEwMX3zxRbZo0eKcAehwOHj99dezV69ejIqK4vr169m1a9ezBuDWrVs5ZswYbtu2jUlJSZw/fz4bNmzIkJAQkmSXLl3Yq1cvxsTEcOvWrezRowebNGniFoAdOnTgyy+/zJSUFNfp42XLlrFevXqcOXMm4+LiOHz4cLZo0eKcARgVFUUAnDx5Mg8ePMhZs2bx8ssvd/vz2bRpEwFw1apVPHHihOvUcOkAdDqd7Ny5M3v06MEdO3YwPDy8wkkgCkCpTQI6AEly79EsdhhqXA/4/YZDZg9HRPxMoAdgRkYG+/Xrx2bNmvHSSy/lsGHD+Nxzz50zAEkyNjaWd955Jxs2bMhrrrnmnEcAY2Ji2Lt3b15yySVs1KgRr7nmGk6dOtX1+s6dO3nLLbewcePG7NChAxcsWFBuuZVff/2V7du3Z/369d3iafjw4WzdujVbtmzJt956i6+99to5A5A0rsO77LLL2KRJE/bu3ZuzZs0qN0nmv//9L1u1auWVZWBKUwCKmQI+AEly5uYEWqw2th8azF2HfbP6vYgEJn8NQPF/CkDxpToRgE6nk/+etY0Wq409xq/mqfwis4ckIn5CAShmUQCKL9WJACTJrNwidh8XRovVxlfn7ND1gCJSJQpAMYsCUHypzgQgSe5IyuTVQ4Jpsdo4NzzJ7OGIiB9QAIpZFIDiS3UqAEnyq7UHaLHaeM17IdyXUnd+bhH5YxSAYhYFoPhSnQtAh8PJ56aF02K18d6Ja5lbWGz2kESkFlMAilkUgOJLdS4ASTI9u4C3jl5Ji9XGd+ZHmT0cEanFzvwjnJeXZ/ZQpI7Jy8tTAIrP1MkAJMnNB9J55WAbLVYbF+08bPZwRKSWstvtjImJYXp6utlDkTomPT2dMTExtNvt5V5TAIqn6mwAkuSnK2JpsdrY8f1QHkzLNns4IlJLHTt2zBWBeXl5zM/P16bNZ1teXp4r/krfaq80BaB4qk4HoN3h5FPfbKbFauODk9czv6j8/2WJiDidTlcEatNWU9uxY8cqXbJMASieqtMBSJKpp/LZZdQKWqw2vr9kj9nDEZFazG63m350SFvd2Co67VuaAlA8VecDkCRX7z9Oi9W4HjB0T8WH20VERGoLBaB4SgFYYmxwDC1WG28csYzJGblmD0dERKRSCkDxlAKwRJHdwX6fb6TFauOjX2xkkd1h9pBEREQqpAAUTykAS0nOyGXQiGW0WG0cGxJj9nBEREQqpAAUTykAywjdc8x1PeDq/cfNHo6IiEg5CkDxlAKwAu8v2UOL1cYuo1Yw9ZRu/yQiIrWLAlA8pQCsQH6RnQ9OXk+L1canvtlMu6PidZhERETMoAAUTykAK3EwLZsd3w+lxWrj4IW7WFCsRaJFRKR2UACKpxSAZ7Ek8ojresCHpqznoRM5Zg9JREREASgeUwCeQ9i+VHb+YDktVhuvfz+Ui3YeNntIIiJSxykAxVMKwCpIycp33TPYYrXxf/OimFNQbPawRESkjlIAiqcUgFVkdzg5ZVUcrxxsRODdE9Zw79Ess4clIiJ1kAJQPKUArKatB9N525hVtFht7PBeCGdsSqDTqVnCIiJSc81oF4sAACAASURBVBSA4ikF4B+QmVPIF2ZEuE4JvzRzG0/mFpo9LBERqSMUgOIpBeAf5HQ6+cPGQ+wwNIQWq43dxq7itoQMs4clIiJ1gAJQPKUA9NCeI1ns+fFqWqw2XjUkmFPD4rRwtIiI+JQCsHYaCeOXUnrbX+r1egBGAUgBkA9gFYAOZd6jMYAvAGQAyAGwEEDrMvtcDGAOgNMAsgBMA9CsmmNVAHpBdkExB/6003VK+B/fbuFx3UJORER8RAFYO40EsBfAn0ttfyr1uhVGsPUDcBOApQAOwYi+M74CkAzgHgBdAWwBsKnM54QCiAJwG4A7AcQDmFvNsSoAvcTpdHLB9sO8bphx95CbR63gmv3HzR6WiIgEIAVg7TQSRphVpB6MI3/vlHquJYACAP1LfV0E4IlS+1wH4xd9e8nXHUu+vqXUPg8AcAJoU42xKgC97EBaNh8ouY+wxWrjmOAYFhY7zB6WiIgEEAVg7TQSQC6AYzCO7M0B8JeS166C8QvrXOZ71gGYUvL4npJ9LiyzTxKAt0oePw/gZJnX6wOwA3jsLGNrBOMvy5ntcigAvS6/yM73l+xxRWDfzzcyKT3X7GGJiEiAUADWTg8CeBLG6d3eADbDiLfmALrD+IVdVuZ75gOYV/L4aQCFFbxvBIDxJY+HAoitYJ80AC+fZWwjUf76RAWgj4TuSeFNI43byAUNX8bfdh01e0giIhIAFID+4UIApwC8APMDUEcAa9iRk3l8/MtNrqOBgxfuYl6h3exhiYiIH1MA+o9tAMbB/FPAZekawBpQbHdwwrL9bFdyG7n7Jq7l/pTTZg9LRET8lALQPzSDEWtv4PdJIG+Xer0FKp4E8nipfa5FxZNAupba535oEkittjH+BG8ZvZIWq43XvBfCueFJuo2ciIhUmwKwdvoEQE8A7WCc8l0J4ASAS0pet8IIwr4AbgSwBBUvA5ME4G4Ykbe5ZCstFMBOAH8FcAeAOGgZmFrvRHYBn50W7jol/MqcHTyVX2T2sERExI8oAGunn2HMAC4EcKTk66tLvX5mIehUGEf+VgG4psx7nFkIOhPGjOJFMNYTLO1iGMGXDeMawx+ghaD9gsPh5NdrD/DqIcG0WG2846Mw7kzKNHtYIiLiJxSA4ikFoIl2JmXyjo/CaLHaePWQYH699gAduo2ciIicgwJQPKUANFlWXhFf+XGH65Tws9PCeSK7wOxhiYhILaYAFE8pAGsBp9PJueFJvOa9EFqsNt4yeiU3xp8we1giIlJLKQDFUwrAWmR/ymneN3EtLVYb2w22ccKy/Sy26zZyIiLiTgEonlIA1jJ5hXYOXrjLdUr48S838cjJPLOHJSIitYgCUDylAKylfo06yqDhy2ix2njTyOUM3ZNi9pBERKSWUACKpxSAtVhSei77Tt3gOhr4/pI9zC/SbeREROo6BaB4SgFYyxUWOzg2OMYVgQ9MXs8DadlmD0tEREykABRPKQD9xJr9x3nzqBW0WG3s+H4oF2w/rNvIiYjUUQpA8ZQC0I+knsrnP77d4joa+ObPkcwuKDZ7WCIiUsMUgOIpBaCfsTucnBoWx6tKbiPX8+PV3HMky+xhiYhIDVIAiqcUgH4qIiGD3cauosVqY4ehIZy24ZBOCYuI1BEKQPGUAtCPncwt5Eszt7lOCb8wI4KZOYVmD0tERHxMASieUgD6OafTyRmbEthhqHEbudvGrOLWg+lmD0tERHxIASieUgAGiL1Hs3j3hDW0WG28crCNk1fG0e7QKWERkUCkABRPKQADSE5BMf83L8p1Svj/vt7MlKx8s4clIiJepgAUTykAA9DCHYfZ8f1QWqw2dhm1gmH7Us0ekoiIeJECUDylAAxQB9Oy+dCU9a6jgR/+Fs3CYofZwxIRES9QAIqnFIABrKDYzhFL97oisPekddyZlGn2sERExEMKQPGUArAOWBGdys4fLKfFamO7wTaOWLpXdxAREfFjCkDxlAKwjkjPLuBbP0e6jgbePnYVV0br2kAREX+kABRPKQDrmHWxabxzfJgrBF/5cQePn9JMYRERf6IAFE8pAOugvEI7x4bEuO4nHDRiGedsTaJD6waKiPgFBaB4SgFYh+09msVHpm5wHQ184qtNjD9+2uxhiYjIOSgAxVMKwDrO7nDy+w2HXOsGdhgawkkrY1lQbDd7aCIiUgkFoHhKASgkycOZufznD+Guo4H3fLKG4YcyzB6WiIhUQAEonlIAiovT6eRvu46y64crXSE4eOFuZuUVmT00EREpRQEonlIASjlZuUW0/rLLFYG3jF7J4N3H6HRqkoiISG2gABRPKQClUlsOpvPuCWtcIfjCjAgePZln9rBEROo8BaB4SgEoZ5VfZOfE5fvZfqixZMz174dy+sZDtGvJGBER0ygAxVMKQKmS2NTT/PuXm1xHA/t+vpExx/T3RkTEDApA8ZQCUKrM4XBy9pZEBg1fRovVxquHBHN86D7mF2nJGBGRmqQAFE8pAKXaUk/l8z+ztruOBv7t49XcGH/C7GGJiNQZCkDPvPEHtuamjNR3FIDyhy3bm8LbxqxyheD/5kUxM6fQ7GGJiAQ8BaBnnACSASRUcbMDuMqUkfqOAlA8cjq/iO8v2cN2g40I7DJqBRfvPKIlY0REfEgB6BkngEursX82FIAiFdqemMlen651HQ185vutTErPNXtYIiIBSQHomREALqjG/kMAXOijsZhFASheU1js4NSwOHZ4L4QWq43XDgvh12sPsNjuMHtoIiIBRQEonlIAitcdTMvmU99sdh0NfHDyeu46fNLsYYmIBAwFoPc0gfvRQAuANwHcb85waowCUHzC6XRy3rZk3jRyOS1WG68cbOOo36KZU1Bs9tBERPyeAtB7VgD4b8njCwGkAjgMIB/Ay2YNqgYoAMWnTmQX8PW5O11HA7uPC+PqfcfNHpaIiF9TAHpPOoAbSh6/CGAXgPMAPAlgn1mDqgEKQKkRq/cfZ/dxYa4QfG3uTqadLjB7WCIifkkB6D15AP5S8ng+jAkiANC25LU/ajCMX9DkUs/VAzAKQAqMI4yrAHQo832NAXwBIANADoCFAFqX2ediAHMAnAaQBWAagGbVHJ8CUGpMbmExR9uieWXJkjE3jljGnyOStGSMiEg1KQC9ZzeMhZ7bAjgFoFvJ811hnA7+I26FsX7gLrgHoBVGsPUDcBOApQAOwYi+M76CsUbhPSVj2AJgU5n3DwUQBeA2AHcCiAcwt5pjVABKjdt9OIsPTVnvOhr4f19v5sG0bLOHJSLiNxSA3vMEgCIADhjXA54xBEZoVVczAHEA7gOwFr8HYD0YR/7eKbVvSwAFAPqX+rqoZExnXAfjF317ydcdS76+pdQ+D8BY27BNNcapABRTFNsd/HbdQV43LJQWq40d3gvhZ6viWFisJWNERM5FAehdfwbQBca1f2f8FcC1f+C9ZgKYVPJ4LX4PwKtg/MI6l9l/HYApJY/vKdmn7JqDSQDeKnn8PICTZV6vD+NuJY9VY5wKQDFVckYun50W7joa2OvTtdyemGn2sEREajUFoPf8gIrv89u05LXq6A9gD34/pbsWvwdgdxi/sMvKfM98APNKHj8NoLCC940AML7k8VAAsRXsk4azz1puBOMvy5ntcigAxWROp5NLIo/w5lEraLHa2G6wjcMW7+Gp/CKzhyYiUispAL3HgYpvC/cnGEfVqqotgOMwru07Yy1qTwCOLPl8t00BKLVBZk4h35kf5Toa+NcxK7lsb4rZwxIRqXUUgJ5rAeOaOyeAq+F+dOwiAM8BOFaN93sUxi/EXmpjyfvbSz7DzFPAOgIotd6m+BPs+fFqVwj+e9Y2pmTlmz0sEZFaQwHoOSeMo3+VbXYA71Xj/ZoDCCqzbQMwu+TxmUkgb5f6nhaoeBLI46X2uRYVTwLpWmqf+6FJIBIg8ovs/HjZPl49JJgWq403DF/GWZsT6HBoyRgREQWg53oCuAtGOD1W8vWZrRuqF1OVWYvyy8CcBNAXwI0AlqDiZWCSANwNI/I2l2ylhQLYCWOiyh0wZh1rGRgJKPtSTrHf5xtdRwMf+2Ijo4/q76uI1G0KQO+xwH32rzetRcULQafCOPK3CsA1Zb7nzELQmQByASyCMUu5tIthBF82jLULf4AWgpYAZHc4OWNTAq9/P9QVgv+ZtZ17jmSZPTQREVMoAL3rQhinUZ+Bce1f6S1QKQDFbxw9mcdX5+xgu5I7iVisNr4wI4JRySfNHpqISI1SAHrPIzBuqeaEcZeOk6W2TBPH5WsKQPE7camn+cZPO123lLNYbXxuWrjWDxSROkMB6D1xME7TXmD2QGqYAlD81sG0bP5vXhSvKpkoYrHa+PR3W7j1YLrZQxMR8SkFoPfkwrhLR12jABS/l5SeS+svu1wzhs/cX3hT/Ak6nZo1LCKBRwHoPYsA/J/ZgzCBAlACxuHMXA5dtJsdhoa4QvDvX27i2tg0haCIBBQFoPe8AGPZlZEw1t/rW2YLVApACTjHsvI4YuleXvPe7yHYd+oGropJVQiKSEBQAHqP8yybw8Rx+ZoCUALW8VP5/PC3aF477PcQfGjKeobuSdGC0iLi1xSA4ikFoAS8E9kFHBeyjx1LrSPYe9I6/rbrKO0KQRHxQwpA8ZQCUOqMjJxCTli2n0HDl7lC8N6Ja7kk8ohCUET8igLQe4afYwtUCkCpc7JyizhpZSxvHPF7CN41YQ0XbD/MIrvD7OGJiJyTAtB7Istse2EsDXMKxv12A5UCUOqs0/lF/Hx1PDt9sNwVgneOD+NP4UksLFYIikjtpQD0rRYwlod51uyB+JACUOq8nIJifr32AG8etcIVgt3HhXHWlkQWFNvNHp6ISDkKQN+7EUCi2YPwIQWgSIm8Qju/W3+Qt4xe6QrB28as4g8bDzG/SCEoIrWHAtD37oRxP+BApQAUKSO/yM4ZmxJ4+9hVrhDs+uFKfrvuIHMLi80enoiIAtCL3iizDQTwEYCjAOaaOC5fUwCKVKKg2M4ftyay+7gwVwh2GbWCX645wOwChaCImEcB6D0JZbaDALYCGAuguYnj8jUFoMg5FNkdnBeRzB7jV7tCsNMHy/nZqjieyi8ye3giUgcpAMVTCkCRKiq2O7hwx2HePWGNKwSDRizjxBWxPJlbaPbwRKQOUQD6xhUlW12gABSpJrvDySWRR3jfxLWuELxh+DKOD93HjByFoIj4ngLQe86DseDzKRj3/nUAyALwfslrgUoBKPIHORxOBu8+xt6T1rlCsOP7oRwTHMO00wVmD09EApgC0HvGAUgD8DKAm0q2V0qeG2PiuHxNASjiIYfDyeV7U9jns/WuELx2WAg/+DWaqafyzR6eiAQgBaD3HAPQt4Ln+8GYCRyoFIAiXuJ0Orl633H2+3yjKwQ7vBfC95fs4dGTeWYPT0QCiALQewoAXFPB89cCyK/hsdQkBaCIlzmdTq6PS+PjX25yhWD7ocEcvHA3kzNyzR6eiAQABaD3hAP4rILnp8JYDiZQKQBFfMTpdHLTgRN86pvNrhC8ekgwBy2IYsKJHLOHJyJ+TAHoPT0B5ACIATCtZIsBkA2gh4nj8jUFoEgNCD+UwWe+3+oKwSsH2/j63J3cnphBp9Np9vBExM8oAL3rchgTPhaWbKMBtDF1RL6nABSpQTuSMvnPH8JdIWix2vjg5PWcG56k28yJSJUpAMVTCkARE+w5ksV35kfxmvdC3BaV/uDXaB5MyzZ7eCJSyykAvedfAJ6s4PknAQyo4bHUJAWgiIkycwr57bqDbreZs1htfOb7rVy+N4V2h04Pi0h5CkDviQPwtwqe7wkgtobHUpMUgCK1gMPh5Or9x/mv6RFsN/j3EOw+Loyfr45nerYWlhaR3ykAvacAQLsKnm8HLQMjIjUoOSOXY0Ni2PmD5b+vJzg0hG/+HMntiZmaNCIiCkAvSkblC0EfqeGx1CQFoEgtlV9k54Lth9m31MLSFquND01Zz58jkphXaDd7iCJiEgWg94wHkAjgbgDnl2z3lDz3iWmj8j0FoIgf2HX4JN8uM2nkxhHLOOq3aB7SmoIidY4C0HsaApgHwAmgqGSzA/ih5LVApQAU8SOZOYX8Zt2BcpNGnp0WzhXRqZo0IlJHKAC9rwOMmb8PA7CYPJaaoAAU8UMOh3Hf4YomjXyxRpNGRAKdAlA8pQAU8XNJ6bkcGxzDTmUmjbz1cyR3JmnSiEggUgB65lMATaux/zgAF/toLGZRAIoECNekkakb3E4P9/lsPedFJGvSiEgAUQB6xgHgkmrsfxrAVT4ai1kUgCIBKCr5JP83L4odSk0auWnkcn74WzQTNGlExO8pAD3jBHASQGYVNwcUgCLiRzJzCvn12gO8c3yY21HB56aFc1WMJo2I+CsFoGcG/IGtOqeM/YECUKQOsDucDNuXyn/+EO42aeSOj8L45ZoDzMgpNHuIIlINCkDxlAJQpI5JTM/hmLKTRt4L4VvzIhmZfNLs4YlIFSgAxVMKQJE6Kr/IzvnbkvlImUkjj0zdwHnbkplfpEkjIrWVAlA8pQAUEUZWMGmk0wfLOSY4honpmjQiUtsoAGunlwHshjFr+DSALQAeLPV6PQCjAKQAyAewCsYC1KU1BvAFgAwAOQAWAmhdZp+LAcwp+YwsANMANKvmWBWAIuKSkVPIr9Ye4B0f/T5ppN1gGwf8EM6wfZo0IlJbKABrp0cAPAQj6q4BMAbGreVuKHndCiPY+gG4CcBSAIdgRN8ZXwFIhnE/4q4wInJTmc8JBRAF4DYAdwKIBzC3mmNVAIpIOWcmjQwoM2nkzvFh/GrtAWZq0oiIqRSAvtMCwKMAOnrp/TIBvADj6F8KgHdKvdYSQAGA/qW+LgLwRKl9roPxi7695OuOJV/fUmqfB2AsbdOmGuNSAIrIWSWm53C0LZo3jXSfNPK/eVGM0qQREVMoAL1nPoDXSh43ARAHI8KKATzuwfueDyPsCgFcD2MdQQLoXGa/dQCmlDy+p2SfC8vskwTgrZLHz8NYw7C0+gDsAB6rxvgUgCJSJflFds7blsyHP3OfNPLQlPX8Yk28rhUUqUEKQO9JBdCp5PHTME6nXgDjer7IP/B+N8K4ds8O43TvQyXPd4fxC7uszP7zAcwr9fmFFbxnBIDxJY+HAoitYJ+0kjFXphGMvyxntsuhABSRanA6nYxMPsm35kW6TRo5E4Ofr47nId1tRMSnFIDekw+gbcnjWQA+Knn8FxghV10NAbSHcf3eOAAnYBwBNDsAR5Z8vtumABSRPyIzp5Bzw5P4zPdbedWQYLcYfGDyek4Ni+PBtGyzhykScBSA3hMH4P9g3OkjDcZpWMA4KpjuhfdfBeAbmH8KWEcARcQnMnMK+XNEEp+dFs6ry8Rg70nrOGVVHOOPKwZFvEEB6D2vwLje7ySMmbXnlTz/OoA1Xnj/1QBm4PdJIG+Xeq0FKp4EUvraw2tR8SSQrqX2uR+aBCIitcDJ3ELOi0jmgB/Kx+D9n67jpJWxjEs9bfYwRfyWAtC7boFx9Kz0Wnp9ANxRzfcZB+BvANrBuBZwHIww61XyuhVGaPYteX0JKl4GJgnA3TAib3PJVloogJ0A/loyxjhoGRgRqWWycos4f1sy//lDONsPdY/B+yau5acrYrk/5TSdTq0xKFJVCsDaaRqARBjX8aXBOP3bq9TrZxaCToVx5G8VjPUCSzuzEHQmgFwAiwD8ucw+F8MIvmwApwD8AC0ELSK1WFZuERdsP8znp0eww1D3CST3fLKGE5fv576UU4pBkXNQAHrm02psgUoBKCKmOJVfxIU7DvOFGeVj8O5P1nDCsv2MPqoYFKmIAtAza6q4rTZrgDVAASgipjuVX8TFO4/wxZnbyi0tc9eENfx42T7uOZKlGBQpoQAUTykARaRWOZ1fxCWRR/jvWdt4TZkY7Pnxan4UqhgUUQB6X3sAvWHcDQQwrtcLZApAEam1sguKuTTqKP8za3u5GOwxfjXHhsRw1+GTikGpcxSA3tMKQBiM2boOGOv1AcbEiolmDaoGKABFxC/kFBTzt11H+fKP23ntMPcYvOOjMI4JjmFksmJQ6gYFoPfMArAMwBUwZtWeCcDeAKLNGlQNUACKiN/JLSymbdcxvjJnB68bFuoWg93HhXG0LZo7kjIVgxKwFIDeU/pewKUD8Cr8sVvB+QsFoIj4tbxCO0N2H+Orc3aw4/vuMdht7CqO+i2a2xMz6XAoBiVwKAC9JxtAh1KPzwTgLQAyTBlRzVAAikjAyCu0M3TPMb4+dyevLxODt49dxZG/7uW2hAzFoPg9BaD3hAD4sORxNoArYdwObj6AX8waVA1QAIpIQMovsnPZ3hS+8dNO3jB8mVsM3jZmFUcs3cvwQ4pB8U8KQO8JAnAcxu3VCgEsABAD49Tw1SaOy9cUgCIS8PKL7FwRnco3f45kUJkYvHX0Sg5fsoebD6SzyO4we6giVaIA9K6WAN6DcdQvBMBoAJeZOiLfUwCKSJ1SUGznyuhUvlVBDAaNWMZXftzB+duSefx0vtlDFamUAlA8pQAUkTqroNjOsH2p/N+8KHb+YLlbDFqsNj782QZOXL6fO5IyadepYqlFFIDeMxLGNX9ltQTwU80OpUYpAEVESNodTu5MyuTEFbF8ZOqGcjHY+YPlHPjTTi6JPMLMnEKzhyt1nALQew4D2IzfZ/8CwF0AkgFEmDGgGqIAFBGpwPHT+Zy/LZmv/LiDQSPcTxVfOdjGx77YyM9WxXHPkSxNJJEapwD0notgXPt3GsBLACYAKAIwBkB9E8flawpAEZFzKLI7uPVgOseF7GPvSevKHR28ZfRKvjM/isG7j/FUfpHZw5U6QAHofWNh3A6uCMC9Jo+lJigARUSq6ejJPM7ZmsQXZ24rt/j01UOC+dQ3m/n12gOMTT2tu5GITygAvet1ALkA5gDYD+MWcJ3O+h3+TwEoIuKBgmI7N8Sd4Kjfonn3J2vKHR3sPi6MQxft5sroVOYWFps9XAkQCkDvWQYgHcATJV83AfAVgHwA75o1qBqgABQR8aLE9BzO2JTA56aFs8N7IW4x2GFoCJ/5fiunbTjEQydyzB6q+DEFoPesBNCmguf7AEip4bHUJAWgiIiP5BUay8wMW7yH3ceFlTs62PPj1RyxdC/XxqYxv8hu9nDFjygAa8afzB6ADykARURqgNPpZPzx0/x23UH+49stvHpIsFsMXjcslC/MiODsLYk8nJlr9nClllMAiqcUgCIiJjidX8TQPSm0/rKLfx2zstzRwV6fruXY4Bjdok4qpAD0TCZ+P7p3suTryrZApQAUETGZ0+lk9NFT/Hx1PJ/4ahOvHOweg0HDl/G/s7dzXkQyj5/SLepEAeipAQAalTz+Z8nXlW2BSgEoIlLLnMwt5K9RR/nWz5HsMmpFuaODD01ZzwnL9nN7YoZuUVdHKQDFUwpAEZFazOFwMjL5JD9dEcu+FdyirtMHy/n63J1ctPMw07MLzB6u1BAFoOfOg7HMyyYA2wB8BGMJmLpCASgi4kfSThfwl+2H+eqcHbyxzC3q2g22sd/nGzl5ZRx3HT6pW9QFMAWg594HYIexDuASGOv+/WDqiGqWAlBExE8V2x2MSMjg+NB9fGDy+nJHB7t+uIL/mxfFX6OOMitXt6gLJApAz8UD+Hepr+8DUAjjyGBdoAAUEQkQx7Ly+FN4Ev89axuvL3OLuquGBPOJrzbx89XxjD56Sreo83MKQM8VAmhb5rkCAFeYMBYzKABFRAJQYbGDm+JPcExwDO+buLbc0cG/jlnJdxfsYuieYzydr6ODLk4nWZhLZqeRmQlk6l4yOYI8sJrcZyN3zSO3/UBumkquHU+ueJ+0vU0u+i8571ly9t/JaQ+QX91JfnYz+cm15JYvvT5MBaDnHAAuKfNcNoArTRiLGRSAIiJ1QHJGLmdtSeTz0yN43TD3o4NXDwlm/2+28Jt1Bxibeto/jg46HGTBafJ0Kpl+gEzZTSZtIeNXkdFLyaifyIjvyI2TydVjyWVDyd/eJBe+RP70NDmzH/l9L/LL7uTkTuTH7ckxbcgRLckRLby7hX3o9R9fAeg5J4BgAItKbcUAlpd5LlApAEVE6pj8IjvXxaZx5K97edeENeWODnYfF8ahi3ZzZXQqcwuLfTuYojwy4yCZsJHcvYDc9BkZOoT85QVybn9yxiPkt/eQX9xOTgoix19Fftja+5FW0fZha+PzJgUZn//tPcZ45v7DGN+vbxhjDRtNbviUDP+W3Pkjc3f9zN07vuOiLR9z/Op3GHFohdf/2BSAnptexS1QKQBFROq4hBM5nL7xEJ+bFs4O74W4xWCHoSF85vut/H7DIR5My6760UGH3Tg6d3QnuS+YjPjeOBK2+BVy1mNGUI37ixdCraVx5O7j9saRvC+7G0f2ZvYzjvQt/Ldx5G/5e8aRwI1TjCODUT8ZRwrjVxlHDlN2G0cST6caRxYd5743c6G9kPsz9tN20MbJOybztVWvsfcvvRk0I8htm7pzqoe/ofIUgOIpBaCIiLjkFdoZti+V7y/Zwzs+Cit3dPBvH6/mmEXh3BqxmYWxYUZIrZ9IBr9D/vz/jKNkEzuSH1xcjSNtlxrx9sOD5ILnjdO1G6cY19rtmmdce3dgtXEtXupe49q87DTjWr0aOF1d7CjmoaxDXJG4gl9Gfsm31rzFRxY/wk4zO5WLvTPb3fPu5kvLX+L4iPHccmyL18ekABRPKQBFRMRgLyKzDhuhFb2Uzi1fMXPJEMZ99Q/uGfs3Hhh+HU8Pr87p15bkhA7k138zTuf+9ha59mNy52zjyFtqNJmXWSMRVxVOp5NHs49y3eF1/H739xy8fjCf+PUJ3jzr5kpDr9vcbnwu5Dl+uOVD/rTvJ25L2caT+Sd9PlYFoHhKASgiEuicTjI3wwiu+JXkjlnGDNbf3iTnPEV+3cMItWpMOEBfxgAAIABJREFUgMge8WfGv38dNwzrxl+G9eEX7z3DKWPf4bxZXzBy80oWZCSRdh9fP/gHOZ1Onsg7wS3HtnB29GyO2DSCTwc/zdvm3FZp6N36463s/1t/Dts4jDP2zuCmI5t4PPe4aRNmFIDiKQWgiIg/sxeRJ5PJpK3knoXk5s+NU6gL/mUsRzK5k3GKtapH7T64mJx4PfndveTPz5Ah7xoTHKJ+Jg+tI0/EkQXGtYD7U07zq7UH+H9fb+ZVQ4LdThV3fD+UL87cxh+3JvLIyTzT/nhOFZ7izuM7OW//PI7ZOob/WvYv9vipR6Wh13lWZz629DEOWjeI3+76lquTVjP5dDIdTodpP0NFFIDiKQWgiEhtVVxAZhwyZsjumk9umEQGDzImN3xzFznhmuotW/JRO/KLbsZadUteNWavbptG7g8lj0aS2ceN5VX+gFP5RQzZfYyDFkTxltEry107eP+n6zg2JIZbDqazyO79mMorzuPeE3u5OH4xJ0RM4H9W/of3zr+30tC7ccaN7LOoDweuHsipO6cyNCGUB04eYJHDP9ZEVACKpxSAIiJmKMwlT8STB9eSkXPJdROMa+TmPGUsIjz+qmoctWtlLFUyrTc5/5/GEcBNU8k9v5CJm42ILMqvsR/N4XByz5EsTg2L49+/3MQrB7vHYNDwZfzv7O2cF5HM1FPVG1eRvYhxmXEMORTCKTum8PWw1/ngwgd544wbK429Xgt68eWVL3Pi9on89cCvjE6PZn5xzf15+IICUDylABQR8bb8U+TxfcZEhx2zyDUfkUtfJ2c/bhyBq87yJx9eSk7pTE7vYyxivHKEsd7cPpuxxIoHR+1qysncQi6NOsq3fo5kl1Eryh0dfGjKen68bB+3JWSwuOTooN1hZ9KpJK5KWsWvo77mO2vf4aNLHmXnmZ0rDb2//fw3vrDsBY4LH8cFsQsYeTySpwtPm/zT+4YCUDylABQRqaozkylS9pCxy41lSsJGG2vbzexHTr2VHHN51eNuTBvje2b2M94jbLTxnrHLjXXpcjNqzQxZb3E4nIxKPslJK2PZ9/ONbDfYRsuQX3jVyKls/9FQBk19gd1m9mXnmV0rDb3b59zOZ4Kf4cjNI/ljzI8MPxbO9Lx0s3+0GqUAFE8pAEVESOMoWnaacS3cvmDjKNvKkcZCwtP7kFO6VO8OFOP+UnK93ePG0b81HxlHA+NXGUcH8+vef3cdTgeTTydzZeJKfh75OV8Pe533zb+/0tC74YfODPrmAfac/m8+v+hjfrn1N8amJ/vHrep8TAEonlIAikjd4LAbs2UTNhqLF68dTy55xbi11+RO5Kg/VT3uxl9lXKc35ynjur11E4zr+A6uNa7rK8wx+6c1XW5RLnel7eL82Pn8cMuHfDbk/7d353FVl4kex7915965S7dpmntv28w0W1PNlLuWZmbWtC82ZjXWlGWNTdNUtjk1LahpalpaLrlkgLighrugoiIBsojgviuCgIIiyL6c871/PEc953BQ4HD27/v1Oq/g8AOefrJ8+C3P8+fzTrNy98K7+craV/je+jH825JZfGDKd7zunysanS6+dugK9hm3gW9GZ3P2phxuP1p69rRxKFEA+qf3AGQAKAdQBGAJgOudtrkIwHAAhQCqAcQDuM5pm38HMBnASQAVAL4DcIXTNpcDmAPgNIBSAN8AuKQFY1UAikhwaKgzK0QcSiS3RJllvxb/1Ry9++KmZq5M8SNzZ+203uZO25XvmDtvty4w4ejlmykCgdVqZWFFITfmbeS0rdP45oY3+VDMQ03elNEpshP7L+vPD5I+4Oyds5lemM7SmlKXH7u23sLs3FP8NukQX5+3hb3GrncZhDd8EMv+U1M4cuUurtpWwIJS30074y0KQP8UB2AggN8DaA9gJYAjAP7LbpuhMMH2KIB2AJYCOAQTfWdMBZALoA+AzgA2AUh2+lyxALIB3AKgJ4D9AOa2YKwKQBEJDPW15MmD5MENZGaEuV7uu7+Yue4+/z0Zdlnz7pad2MEc9VvyN7MqRfY8MieZPHXERKQ0qbahlrtO7OLi/Ys5Om00X4h7gbfNu63Jo3p3zL+Df1nzF47PGM/lB5dzX8k+t6dZOVlRy3W7j3H86j18ZmYqb/o4zmUU3jIynoMjN/PrhANMPXiClbX+OSl1aykAA8P/wvwj9bK9fhHMkb+37bb5EYAaAE/ZvV4H4HG7bW6wfZxbba/faHu9i9029wGwAri6mWNTAIqIf6irNqdP98eTm78l44eRiwaRM+8hx93QvPnuhv8v+WUnMrIvuew1c2p26wIzSXJZvt/fLetPTlSdYHJ+Mmdtn8WhiUPPewdu+4j27LukL4cmDuWs7bOYfDSZxVXFXhmnxWLl/uPlXJCRy/djtvH+CYmNJqW+dugK/uq9lbx/QiLfj9nGBRm53H+8nBZL4F5LqAAMDL+B+Ue6yfb6r2yvd3DabiOAibaX+9i2ucxpmyMAhthefgHAKae3/wBAA4DHmjk2BaCIeEdtJVm0h9y3lkyfSa75yKxWMeMu2zJkzZkS5Qpz1+zsfmYZs+8/N3Pd5aaTp48p8Fqh3lLP/SX7ueLgCo7fPJ6D1wxm7+jeTR7V6zG3B5+Pe56j00YzZl8Md53YxdqGWl//bziorK1n6sET/DrhAAdHbma3kY0npr526Are9HEcn5mZyvGr93D97uMsqfCv/4/zUQD6v4sBrACQZPdcD5h/tKuctl0AINr28gAAtS4+XjqAMbaX3wew18U2RQD+2sR4fgjzxXLmcQ0UgCLSFmrKyeO7yL1x5g7a1R+Q0c+a6+nG/rp5gffJVeTkW8mo/uSKt8ikieSOGPLoZrKiOOimRPG20ppSphemM2pXFD9M+pD9l/Vnp8hOTa6U8VDMQ3xzw5uctnUaE3ITWFhRGLB34BaUVnHVtgKOXLmL/aem8PoPVrmMwjvGrufr87YwPPkws3NPsbbeP/+oUAD6v6kAcgD81O45XwZgmO1zOzwUgCLSbPU1ZF4Gmfo1uehF8uteZomx5gTeqJ+SU3qQc58ya8wmf0XuXGqmXgnCOe98xWK1MKcsh6sPr+aXW77kq/Gv8g8L/9DkUb1uUd34zMpnOGLTCEbviWZ2UTYr6yp9/b/hUXUNFm4/WsrITTl8MzqbfcZtcBmE1/1zFR+bnMRhy3ZyWXY+c09W+kUEKwD92yQAeQB+6fS8L08B6wigiDSf1UqeOEBmzydXvm2O5g37yfnnvpva09xBG/sPctMUs2JFwVay6pSv/2+CUnltObcc38L5u+dzeMpwPr3yaXaN6tpk7N276F7+fd3fOSlrEtfmrGVuWS4tVv88yuVtpZV13Li3iBPW7uPAWWlsP2y1yyjsPGItB4VncNL6/UzeX8zyGu/fYKIA9E8XwcRfPhpP7XLm7YUA3rJ77lK4vgmkn90218P1TSCd7ba5B7oJRERaq6LYnMJdP5KMfKzpJcvG/NKcpk0YYyZNPrYjJCc29qYGSwMPlR5i3OE4c1Rv3au8d9G9TYZe59md+eTyJ/lR8kecs2sONx/bHLTLonmK1Wrl4eIKxmzJ40dLtvPhr77nr13cYPKLf6zgPZ9v5NBFWzkv7Qj3FJ5mg4dvMFEA+qcpMFO83AHgSrvHf9htMxTm6N0jAG6GmSvQ1TQwRwDcCRN5KbaHvVgAWwB0A3AbgH3QNDAi0hx11WRuGpky2dyMMaFd03fWzrjbHNHbttDMtecHp8CC2anqU0wrSOPsnbP5YdKHfHL5k+w8u+ml0e5eeDdfiX+FEzIncNWhVTx46iDrLcE17Ym/qK5r4Oack5yReJCvzMlkj0/XuTxK+PuP4vin6Zs4JnY3N+ecbPNxKAD9U6Nr7GyPgXbbnJkI+hjMkb94AL91+jhnJoIuAVAJIAYmJO1dDhN85QDKAMyCJoIWEWcWC1m0l8yaQ65401y319TEyF91IWNeNjdy5G/R3HgeVGep476SfefuwF07mH2i+zQZel2junLAigH8OPljztk1hxmFGU1Ooizec/x0NVfvKOTo2N18atom3vhhrEMMjo7d3eafUwEo7lIAigSj8iJyzyoyfjgZ8Qg56meuY2/sr81yZhvHkgfW6zo9D7FarSyuKmby0WR+u/1bvpf4Hvst7ccOka7n1bsp/Cbe/939fH3965ycNZlrc9bySNkRXasXIBosVu4uLOPctCN8d+FWJh9o+zkRFYDiLgWgSKCrrSRzUswdtQueIz+/qek59L65l4x7n9z+nVn5Qqdy21xNQw13ntjJxfsXc0z6GA5aPYi95vdqMvRunXMrn1317Nk7cLOOZ7GiTmsJy/kpAMVdCkCRQGKxkMd3k1tmk8teN3fchv3Y9Zq2k7qRi18hM74hC7J1KreNnVkDNyE3gdO3TufbCW/zkcWPsH1Ee5eh1y6iHR9e/DDfSniL07ZO44bcDcwvz/eLKUUk8CgAxV0KQBF/drrQTKOyNowMf4gceY3ro3uf/dZMvZI4jjyYoDty21hlXSW3Fm3lwr0LOTJ1JJ+LfY7d53Zv8qhez3k9OShu0NnVMnac2MHq+mpf/29IEFEAirsUgCL+oraCPJxEJk0go/9Mjv9dE6tlXEnOut+stLFzCVmap1O5bcRitTC3LJfxOfGckjWFb6x/gw989wBvDr/ZZeh1iOjAx5Y+xqGJQ/nN9m+YdDSJRZVFOqonHqcAFHcpAEV8wdJg5s7LjCCX/t2sjhF2WePYC7uMnNydXPI3cvO3ZOF2skHTe7SFBksD95XsY8y+GI7YNIIDVg447wTKd0bfycFrBnN8xnguO7CMe07uYZ1Oq4uPKADFXQpAEW+oqyZzksmNn5Gz/9j0qdxxN5Dznya//4I8lEjWaOLetmC1Wpl7Opexh2L5WfpnfC72uSZjr1NkJz6x/Al+kPQBI3dGMrUglSer234eNxF3KADFXQpAEU+oLiP3rSXjh5Hf3GcmU3aOvZFXk98+SK75iNy1jCzL9/Wog0ZRZRHXH1nPL7d8ycFrBrPnvJ5NroE7MHYgx2WMMxMol2oCZQkMCkBxlwJQpC2UF5nr8VYNJb++3fXp3LG/Mdf2bZpq7sq1NPh61EGhrLaMKfkpnLFtBl9f/zrvWnCXy9jrGNmRTy1/ip9s+oRL9i/hgVMH2KB/AwlQCkBxlwJQpKWsVrMcWtZccumr5JedXJ/OndDOrKiRGUGeOKAbNdpAVX0Vs45nMXJnJN/d+C4fjHmwySlX+i7pyw+SPuD83fO5o3iHrteToKIAFHcpAEUuxGIhj+0k02eQC18w1+m5mndvcnezzNr2RTqd2wbqLHXcdWIXF+xdwI+TP2a/pf2anGPvvkX38e2Etxm+I5wZhRmsrKv09fBFPEoBKO5SAIo4a6gj8zLIpInk3KfI0dc2Dr5hl5Mz7jJTseyJJatKfD3qgGaxWnio9BCXHVjGUamjOGDlAHae3dll7PWO7s1X173Kr7O/ZtLRJJ6q1vJ1EnoUgOIuBaBIbaWZPHnDp2ay5U+udD33XvjDZptDG837SKtYrVYWlBdwTc4afr75cw6KG8Rb59zqMva6z+3OF1e/yAmZExifE8/CikLNsSdCBaC4TwEooafyJLlnlTl6N72POZrnHHyjrzVH/5ImknmbtYyaG0qqS5iYl8gp2VP4t/i/8Y75d7iMvS6zu/CZlc9wdNporji4gjllObRYLb4evohfUgCKuxSAEvzK8sltC831eZNvdX3DxvgbzfV96TPI47vMdX/SYhV1FUwvTOes7bP45oY3ee+ie5tcQaP/sv4MSwnjor2LuOfkHk2/ItICCkBxlwJQgovVShbvN3fexrxMfnGz6+D7srO5gzd7HlmSozt0W6GmoYbbirZx7u65fP/79/no4kebXDLtoZiH+I/EfzBqVxSzjmdpXVwRNykAxV0KQAlslgYzp96mqeT8Z8xce66WU/v6djNH386lZs4+aZG6hjruPLHz7B25/Zf1Z4eIDi5j7+6Fd/ON9W9w5raZTC1I5elarWYi0tYUgOIuBaAElvoaMieFTBxnllQb9dPGwTf8f83qG/HDyP1rzaoc0mz1lnruLdl7do3cP634EztFdnIZe7fPu50vr32Zk7ImMSE3gcVVxb4evkhIUACKuxSA4v9qTptr+KL/7PoO3ZHXmBjc+JmJwzqdXmyuBksDD546yGUHlvHTtE/5zMpn2GV2F5ex12NuD760+iVOyJzAtTlrWVBeoDtyRXxEASjuUgCKf6oqIbPmkHOebLyO7thfm9O9m6ZoSbUWsFqtzCnL4cqDKzk2fSyfi32O3aK6uYy9W+bcwufjnue4jHGMPRTL3LJcxZ6IH1EAirsUgOI/yovIjFlkZN/GU7NM7Eiu/Zg8mqkbNprBarXyaPlRrj682sy1t3oQu8/p7jL2ukZ15bOrnuXotNFcfnA5D5Ue0vQrIn5OASjuUgCKb5Xlk6lfk7MeMDdr2Eff5FvJ9aPIYzsUfedhtVpZWFHI+CPxnJg5kYPXDGbPeT1dxl6nyE4csGIAR6aO5JL9S7i/ZD8bdARVJOAoAMVdCkDxvpLDZoLlGXc1vp5v2h3mBo/i/T4epP8qrirmxryNnJw1ma/Ev9LkxModIjvwieVPcFjKMC7au4i7T+5mnUUTWosEAwWguEsBKN5RtIfcOJac2tMp+n5EzryHTJlEnjri61H6nZLqEiYdTeK0rdP42rrXeNeCu1zGXvuI9uy3tB8/Sv6I0XuiuaN4B2sban09fBHxEAWguEsBKJ5htZIFW8l1I8ivujaely/8ITJtOnm60Ncj9RtltWXcVLCJM7fN5JANQ5pcRePm8Jv56OJH+f737zNqVxSzi7I1sbJIiFEAirsUgNJ2rFYyL8OssTuhvWP0DfsJObufWaGj4oSvR+pzlXWVzCjMYPiOcL6z8R0+GPOgy9g7s4rGuxvfZcSOCG4+tpmVdZW+Hr6I+JgCUNylABT3WBrIw0nkqnfNerr20Tfi/8h5A8js+WTVKV+P1Kcq6yqZdDSJX2z+ggNWDmD7iPYuY+++RffxrYS3OGv7LKYVpGkVDRFxSQEo7lIASss11JEH1pHLXm+89NrIq8kFA8kdMWRNua9H6jOVdZVMzk/mxMyJfHrl0y6XTbtrwV18ff3rnL51OpOPJvNUdWhHsog0nwJQ3KUAlOapryH3xJKL/0qOvtYx+j79GRkzmNy9MmRX4aiqr2JKfgonZk7kn1f9mR0iGwffPQvv4T+//yeX7F/C/PJ8Xw9ZRAKYAlDcpQCUptVWkDuXkAtfMMut2UffmF+RS/9u1tqtD727Tavrq5lakMovt3zJZ1c96zL47l54N9///n0u3r+YR8uP+nrIIhJEFIDiLgWgOKouI7cuIOc/TY64wjH6xt1ArnyHPPx9yC2/VtNQw7SCNE7KmsRnVz3LjpEdXZ7SfS/xPcbsi2He6TwtnSYiHqMAFHcpAIWsPElmRpJRj5PD/8cx+r64mVz9TzI3nbSEzvJgNQ01TC9M5+SsyRwYO5CdIjs1Cr4+0X04NHEov9v3ndbKFRGvUgCKuxSAoer0MTJ9Bhn+MBn2Y8fo+6oLGT+cLMgOmSXYahtqmVGYwSnZU/h83PMug+/O6Dv57sZ3uXDvQh4pO6LgExGfUQCKuxSAoeRULpkymfzmXrMCh330TbmNTBhDHt/t61F6RW1DLTOPZXJq9lQOihvEzrM7Nwq+3tG9+U7CO1ywdwEPlx5W8ImI31AAirsUgMGs4gS5azkZ9z75da/G6+5Ov5P8/gvyxAFfj9Tj6hrquOX4Fk7bOo2DVg9il9ldGgXfHfPv4NsJbzN6TzQPlR5S8ImI31IAirsUgMHCaiVLcsjseeSy1xovv3Zm3d1v7iM3TSFL83w9Yo+qs9Qx63gWp2+dzpdWv8SuUV0bBV+v+b34VsJbnL97Pg+eOqjgE5GAoQAUdykAA5XFQh7bYdbTXfh841U4zjwmdTNBmD3fXPcXpOosdcwuyuaMbTP4lzV/cRl8t8+7nUM2DOHc3XN54NQBBZ+IBCwFoLhLARgo6mvII6nk95+TUf3N5MvOsTfscnJ6H3PX7u4VQb3mbr2lnluLtnLmtpkcvHYwu0V1axR8Pef15JANQzhn1xzuK9lHizV07mIWkeCmABR3KQD9VXUZuW+tuRt31v1mXV3n4PvkKjLiEXLDaPLQRjNxcxDLKcth+I5wvrz2ZZfBd9u82/j6+tcZtSuKe0v2KvhEJGgpAMVdCkB/cfqYWT931bvk1J5k2GWNg2/Mr8h5A8iUSeTRTLKh3tej9iiL1cLsomx+sfkLPrL4kUbB12NuD7627jXO3jmbe07uUfCJSMhQAIq7FIC+YLWaO28zI83auhM7uL5+b0I7MuZlcnM4WbwvJObkq2mo4ca8jQxLCWPv6N4OwdchogNfXP0iI3ZEcPfJ3WwIsdVIRETOUACKuxSA3tBQT+Znmbtv5z9Djv2N6zt0p9xGrnyb3P4dWVbg61F7TWlNKZcdWMYhG4Y0OrV7y5xb+HbC21x5cCXLavV1KiJCKgD9VS8AywEUwPzj9HV6+0UAhgMoBFANIB7AdU7b/DuAyQBOAqgA8B2AK5y2uRzAHACnAZQC+AbAJS0cqwLQE+qqyEOJZMJYMrIvOfKaxsE3/H/MhMxrw8h9a8iqU74etVfll+czalcUB8UNYvuI9o2WWBuxaQSTjiaxtqHW10MVEfE7CkD/dD+ATwA8BtcBOBQm2B4F0A7AUgCHYKLvjKkAcgH0AdAZwCYAyU4fJxZANoBbAPQEsB/A3BaOVQHYFipPkntWkas/IGfcTQ77SePgG/Uzs9Zu4jgyJ4Wsq/b1qL3KarVy14ldnJw1mY8ve7zR9Xx9l/TlxMyJ3F68XdfyiYhcgALQ/zkH4EUwR/7etnvuRwBqADxl93odgMfttrnB9rFutb1+o+31Lnbb3AfACuDqFoxPAdgapXnk1gXk8jfIybe6vn5v3PXkgoFk6jSycBsZgter1VnquKlgE0eljuIfFv7BIfjaRbTjc7HPMXxHOHPLcn09VBGRgKIA9H/OAfgr23MdnLbbCGCi7eU+tm0uc9rmCIAhtpdfAHDK6e0/ANAAc+SxKT+E+WI587gGCsDzs1jM+rgZ35CLXiQ//73r4PuyM7n0VTJrLnnyUEjcsOFKRV0F4w7HcWjiUHaf290h+rrM7sLX1r3GxfsXs6S6xNdDFREJWApA/+ccgD1sz13ltN0CANG2lwcAqHXxsdIBjLG9/D6AvS62KQLw1/OMJ8z2+R0eCsAmHNpojuQ5x17Yj8lpd5Cx75G7lpEVxb4eqU8VVRYxek80X177MjtGdmy03NqHSR9y/ZH1rKqv8vVQRUSCggLQ//lbAOoIYHMdTCBHXGGCb8QVZPhD5PqR5IH1ZE25r0fnU1arlQdOHeCMbTM4YMWARtfzPfDdAxyXMY6ZxzI1VYuIiAcoAP2fv50CdqZrAF05tPFc/EU9bu7qDXENlgZmHsvkuIxxfDDmwUbRN2DFAM7YNkNr7IqIeIEC0P81dRPIW3bPXQrXN4H0s9vmeri+CaSz3Tb3QDeBuO9QomP81df4ekQ+U11fzfVH1vPDpA/Za34vh+DrGNmRL699mdF7onm88rivhyoiElIUgP7pEpgjfB1g/nGG2F7+ue3tQ2GO3j0C4GYAS+B6GpgjAO6EibwU28NeLIAtALoBuA3APmgaGPcc/p785EoTf7P7hdxULSRZUl3CxfsX87V1r7HL7C4O0dd9bncOTRzKuMNxrKgL7nWHRUT8mQLQP/WGixstAITb3n5mIuhjMEf+4gH81uljnJkIugRAJYAYAFc6bXM5TPCVAygDMAuaCLr1HOLvjyEVf7lluQzfEc5nVz3LdhHtHKLvDwv/wFGpo5hakMo6S52vhyoiIlQAivsUgCR5OCmk4s9itXB78XZOzJzIvkv6Nrqe7/Flj3Ny1mTuPrlb1/OJiPghBaC4SwGYk0x+cpWJv8jHgjb+6hrqmHQ0icNThrNPdB+H4Gsf0Z6D4gYxalcU88vzfT1UERG5AAWguCu0A9Ah/voGZfyV1ZZxStYU9pjbwyH6ukV145ANQ7jswDKW1pT6epgiItICCkBxV+gGYE7KufiLeDTopnopqy3j5KzJ7D7n3GocvaN7MywljIl5iaxpCN27m0VEAp0CUNwVmgF4ZBM58uqgjL/SmlJOyprEW+fcejb8+i7py9jDsZqUWUQkSCgAxV2hF4AO8fdI0MRfaU0pv9ryVaPwW314NS1Wi6+HJyIibUgBKO4KrQA8knou/sIfJmsrfT0it5XWlHJi5kTeMueWs+H32NLHuCZnjcJPRCRIKQDFXaETgLlp5MhrbPH3UMDH36nqU43C749L/8i1OWsVfiIiQU4BKO4KjQAMovgrqS7hhMwJ7BbV7Wz49Vvaj/E58Qo/EZEQoQAUdwV/AOamn4u/bx8M2PgrqS7hF5u/cAi/x5c9zvgjCj8RkVCjABR3BXcA5qaTo35qF3+Bt37tyeqT/Hzz5+wa1fVs+PVf1p/rjqzTKh0iIiFKASjuCt4AzMsI6Pg7WX2S4zePbxR+64+sV/iJiIQ4BaC4KzgD0D7+Zj0QUPF3ouoEx2c4ht8Ty59gQm6Cwk9EREgqAMV9wReAeZvt4u/+gIm/4qpifpb+mUP4Pbn8SW7M26jwExERBwpAcVdwBeDRzeSon5n4++Y+sqbc1yO6oOKqYo5NH8sus7ucDb+nlj+l8BMRkSYpAMVdwROAARZ/xVXFHJM+xiH8BqwYwMS8RIWfiIiclwJQ3BUcAXg00y7+7vXr+CuqLOLotNHsPLuzQ/h9f/R7hZ+IiDSLAlDcFfgBmL+F/NQWfzPvIWtO+3pELrkKv6dXPs2ko0kKPxERaREFoLgrsAMwAOLveOVxfpr2KTtFdjobfs+sfIYa8pNQAAAPWklEQVTJ+ckKPxERaRUFoLgrcAMwP4v89Oe2+PuD38XfsYpjHJU6yiH8/rzqz0zJT1H4iYiIWxSA4q7ADED7+JtxN1ntP+MvrCjkJ5s+cQi/Z1c9y00FmxR+IiLSJhSA4q7AC8CCbL+Mv8KKQo7YNIIdIzs6hF9qQarCT0RE2pQCUNwVWAFYsJUcfa0t/u7yi/hzFX7PxT7HtII0hZ+IiHiEAlDcFTgB6GfxV1BewOEpw9khssPZ8BsYO5Dphek+HZeIiAQ/BaC4KzACsHDbufib3oesLvXZUPLL8zksZZhD+L0Q94LCT0REvEYBKO7y/wAs3EaO/oXP4y+/PJ9hKWEO4TcobhAzCjN8Mh4REQldCkBxl38HYOF2u/i70yfxd7T8KD9O/pgdIuzCb/Ugbj622etjERERIRWA4j7/DcBjO8gxvzTxN603WXXKa5+6vLacS/Yv4eA1g9k+ov3Z8Htx9YvMPJbptXGIiIi4ogAUd/lnAPog/qrrq7n68Gq+sf4Nhzn8bgq/iS+tfolbjm/x+BhERESaQwEo7vK/ADy20y7+7vBo/NVZ6piYl8j3Et/jLXNucYi+RxY/wqnZU5lTluOxzy8iItIaCkBxl38F4LGd5Jhfmfj7uhdZVdLmn8JitTCjMIPDU4az57yeDtF3z8J7+Pnmz7nn5B7N4SciIn5LASju8p8APL7LY/FntVq5o3gHx6aPZZ8FfRyir9f8XhyZOpJZx7MUfSIiEhAUgOIu/wjA47vJsb+2xd/tbRZ/B08d5FdbvuKDMQ86RF/3Od35QdIHTM5PZr2lvk0+l4iIiLcoAMVdvg9A+/ib2pOsPOnWh8svz+fMbTPZb2k/h+jrMrsL30p4i/FH4lnbUNtGgxcREfE+BaC4y7cBWLSHHPsbt+OvuKqYc3bN4TMrn3GIvg4RHfhK/CtcfnA5K+sq23jwIiIivqEAFHf5LgAd4u+2FsdfWW0ZY/bF8KXVL7FdRLuz0Xdz+M18Pu55Lti7gKeqvTd3oIiIiLcoAMVdvgnAVsZfVX0VYw/H8rV1r7FjZEeHo31/WvEnRuyI4LGKYx4evIiIiG8pAMVd3g/Aor3n4m/KheOvrqGOG/M2cmjiUHaL6uYQfY8ufpTTtk5jblmulwYvIiLiewpAcZd3A7BoL/nZdbb460FWnHC5WYOlgWkFaQxLCeNt825ziL57F93LCZkTuLdkr6ZtERGRkKQAFHd5LwCL9503/qxWK7cXb+fotNHsE+04V98d8+/gp2mfMrsoW9EnIiIhTwEo7vJOABbvIz/7rYm/yd0d4m9/yX5OzJzI+7+733Guvrnd+VHyR9xUsIkNlgbPjk9ERCSAKAAFAP4GIAdADYA0AN1a8L6eD8Di/U7xV8y803mcsW0GH1v6mEP0dY3qyncS3uH6I+s1V5+IiEgTFIDyJIBaAM8D+B2A6QBOAfi/Zr6/ZwPwxAFy3PXkx5eyeEo3RmV9zQErBzjO1RfZga/Gv8qVB1dqrj4REZFmUABKGoBJdq9fDCAfwD+a+f6eC8ATB1g6/np+99lVHDSzHduFO87VNyhuEBftXcTSmtK2/9wiIiJBTAEY2v4NQAOAvk7PRwBY2sT7/BDmi+XM4xp4IAA37pzPV6f9jh2+/b3D0b4BKwZw9s7ZLKosatPPJyIiEkoUgKHtaph//O5Oz4+FOTLoSpjtfRwebR2AX0TddTb6+sY8zOlbpzP3tObqExERaQsKwNDWmgD0yhHAA8eyOXHufdx3NLVNP66IiIgoAENda04BO/PdWsAiIiLSKgpASQPwld3rFwM4Cn+4CUREREQ8QgEoT8LM//ccgBsBTIOZBuaKZr6/AlBERCTAKAAFAF4FcARmPsA0ALe04H0VgCIiIgFGASjuUgCKiIgEGAWguEsBKCIiEmAUgOIuBaCIiEiAUQCKuxSAIiIiAUYBKO5SAIqIiAQYBaC4SwEoIiISYBSA4i4FoIiISIBRAIq7FIAiIiIBRgEo7lIAioiIBBgFoLhLASgiIhJgFIDirksBMC8vj2VlZXrooYceeuihRwA88vLyFIDilmtgvoD00EMPPfTQQ4/Ae1wDkVa4COaL51IPPM7Epac+vh7az9rPwffQftZ+DqaHp/fzNTC/x0X8yqUwX/iX+nogQU772Tu0n71D+9k7tJ+9Q/tZQpK+8L1D+9k7tJ+9Q/vZO7SfvUP7WUKSvvC9Q/vZO7SfvUP72Tu0n71D+1lC0g8BhNn+K56j/ewd2s/eof3sHdrP3qH9LCIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiK+8TcAOQBqAKQB6HaB7XsD2AKgFsABAAM9N7Sg05J9/UcAawEUAzgNYBOAez08vmDR0q/pM24D0AAg2zPDCjot3c8/BDASwBGYnx85AF7w3PCCRkv389MAtgKoAlAIYBaAn3hwfMGgF4DlAApgpnvp24z36Q39LpQA9iTMF+/zAH4HYDqAUwD+r4ntfwmgEsB4ADcCeBXmF6bC5MJauq8nAHgXQFcA1wEYBaAOQEePjzSwtXQ/n3EZgIMAVkMB2Byt2c9LAaQCuBvALwB0h4luaVpL9/NtACwAXoP5ed0TwA4AMR4faWC7H8AnAB5D8wJQvwsl4KUBmGT3+sUA8gH8o4ntx8D8MLE3H0Bc2w8t6LR0X7uyE8BHbTmoINTa/TwfwAiYub4UgBfW0v18H4BSAJd7eFzBpqX7+W2YP2Ts/R3A0bYfWtBqTgDqd6EEtH+D+YvF+Qs9AuYvdVcSYY5M2XseQFnbDi3otGZfO7sYQC7MX5riWmv38/MA0gH8AArA5mjNfp4CIB7AaJiA2QdgHID/8NAYg0Fr9vNtMGcKHgBwEYArYH5uT/fQGINRcwJQvwsloF0N84Xe3en5sTB/dbqyD8B7Ts89YPs4+kHetNbsa2fvAijBhU9lhrLW7OfrABwH8Fvb62FQAF5Ia/ZzHMw1bCtgrmF7AOa6tm89M8Sg0NqfG/0BlAOot73/MgD/6okBBqnmBKB+F0pAUwB6j7sBOADmepO723hcwaal+/lfAGQAeNnuuTAoAC+kNV/PawBUA/iR3XN/BGCFfnY0pTX7+XcwNzK8A6AdzDVp2wB846ExBiMFoAQ9nQL2HndOAT8Fczffgx4YV7Bp6X6+DOYHdoPdw2r3XB+PjTSwtebrOQLmTkl7N8Ls6+vadHTBozX7eTaARU7P9YTZz1e16eiCl04BS0hIA/CV3esXw1wsfL6bQLY7PTcXuvC1OVq6rwHgTzBHTR714LiCTUv288UAbnJ6TAGwx/byf3l0pIGtpV/Pf4H5Q+YSu+cehbljVUdMmtbS/fwdzM0I9rrDRM3VbT664NTcm0D0u1AC2pMw1+U8B/PX+DSYKQausL39UwCRdtufufV9LIAbALwC3freXC3d1wNgruF5BcCVdg/7U2jSWEv3s7Mw6BRwc7R0P18CIA/AQpjTlL1gTqPN8NJ4A1VL9/NAmJ8bfwXwK5ibQjLQ/GuNQ9UlADrYHgQwxPbyz21v1+9CCUqv4tzErGkAbrF7WziABKftewPIsm1/EJr8siVasq8TYH4QOT/CPT7KwNfSr2l7YVAANldL9/MNMJObV8HE4Hjo6F9ztHQ//x1myqgqmOsBowBc4+lBBrjeOP/P23Dod6GIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIhPJKDxmqBtLQznJqZ9w8Ofy9kv7D63JsiWUNQLwHKYSbWbs0ycK/cCSAVQDqAYZsm+X7TR+ERExAPC4XqFgN/Y3p4A7wTgDpilAP/TzY81EEBpC7b/F9vnHQcFoISm+wF8AuAxtC4AfwmznN8oAL8G0AnARgBb2nCMIiLSxsIBxMJxPeYrYcII8F4AtlV8DUTLAtATYxAJVK4C8IcwfyDlw6wPnAazTNwZj8Osz3yx3XMPA7AC+FdPDVRERNwTDmDJed6eAMcAdPULohTn1gl9FkAFgOvs3j4FwB40fXQvDK7jiwAGA1gBs+7rbgDdYY5OJsD8MkqBOepwxkCcC8BfwPwS6uL0cd+AWXvW/hdWU2MQCSWuvr9nAEgGcDvM99rbMEf8znyP/xJmveBBMH84/gjAAgBrvDBeERFppXC0bQAC5od/OoAfAHgQQB2Azuf5HGFoOgCPAngCwG8BLAZwGMA6mGuObgSwCeYI5hkD4XgEcA2AyU4fdyuAYc0cg0gocf7+/jmABgBXO20XD3PK94w7ABy3bUuYP8wu89wwRUTEXeEwP7Qr7B4L7d6egJYH4I8B5MEc+TsG4P0LjCEMTQfgCLvXb7U994Ldc08BqLZ7fSAcA/AJACUwp7EAc32SFY0vUG9qDCKhxPn7+0HbcxVOj3oA0bZtrgSwD8BYAB1hbipJgInEi7wxaBERablwAGthTqueeVxl9/YEtDwAAeAe27bJcDzV6koYmg7A/nav/9L2XFe75+60PXep7fWBcAzAf4O5K/Ep2+tfwhxBbO4YREKJ8/f3kzB/IF4Px58Rv4EJP8D8kbbZ6eP81PaxbvXkYEVEpPXC0bJTwFaYuwXtVaJxAH4C84vjEID/vsAYwtB0ANr/MvqF7bkOds/1tj135nTTQDS+CWQ8gNUwMXgCwNMtGINIKHH+nvut7bnbz/M+42GmgLF3le39erTp6EREpM2Eo2UBeBzAK3avXwfzg36g3XM9YE4R3Q9gG4CIC4whDJ4NwBsBWGBu/igF8B8tGINIsLsE5nuqA8z30hDbyz+3vT0K5trbP8Iche8G4D2Y08MA0AfmD8OPYH4edAIQByAHrr/XRETED4SjZQE4D8AumGt9usCcTq3DuQD8bwAHYY4KAMDNMHcMPn6ezxEGzwYgYE5F1wKY2sIxiAS73nA9F2i47e3/CnPT1GGY7/UCADEw39tnPAUz718FgCIASwHc4PGRi4hIq4WjZQF4Nczp1AqYC7/vh+M1gLNgjvr90O593gRwEsA1TXyOMLRdAL4Ac5rX2QtofP1gc8YgIiIiIh4QhraLr3/ArCri7EOYMPXGGERERETkAsJgrtGrgOP1hS3xnzDXHu2F4xHLSwDcBHPt4ksu3u/nts9bBwWgiIiIiNdcjnNTS/yolR/jDZj5/hbYPt4Z4TDX/kXj3PJ29n5g97l/1srPLSIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIh71/5R7AssXtm9tAAAAAElFTkSuQmCC\" width=\"640\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
"<matplotlib.legend.Legend at 0x11e4dbdd0>"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Plot the values\n",
"\n",
"f, ax = plt.subplots()\n",
"\n",
"ax.plot(flux_range, tot_none, label=\"No saturation\")\n",
"ax.plot(flux_range, tot_soft, label=\"Soft saturation\")\n",
"ax.plot(flux_range, tot_hard, label=\"Hard saturation\")\n",
"\n",
"ax.set_ylabel(\"Pixels [counts]\")\n",
"ax.set_xlabel(\"Flux [mJy]\")\n",
"ax.legend(loc=0)"
]
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"## Contrast"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [],
"source": [
"import numpy as np\n",
"\n",
"# Load in a calculation file, in this case the MIRI coronagraph\n",
"with open(\"./miri_coro_file.json\") as f:\n",
" coro_data = json.load(f)\n",
" \n",
"# Define some variables for saturation exploration\n",
"flux_range = np.linspace(0.1, 1.0, 10)\n",
"\n",
"# Define some variables for contrast exploration\n",
"tot_cont = []\n",
" \n",
"# Loop over some flux range to discern saturation levels\n",
"for flux in flux_range:\n",
" # Set the flux value\n",
" coro_data['scene'][0]['spectrum']['normalization']['norm_flux'] = flux\n",
" \n",
" # Perform a calculation\n",
" results = perform_calculation(coro_data)\n",
" \n",
" # Get the scalar value of the contrast for the detector plane\n",
" tot_cont.append(results['scalar']['contrast'])"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [
{
"data": {
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" return MozWebSocket;\n",
" } else {\n",
" alert('Your browser does not have WebSocket support.' +\n",
" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
" 'Firefox 4 and 5 are also supported but you ' +\n",
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"\n",
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" 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",
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"\n",
" this.image_mode = 'full';\n",
"\n",
" this.root = $('<div/>');\n",
" this._root_extra_style(this.root)\n",
" this.root.attr('style', 'display: inline-block');\n",
"\n",
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"\n",
" this._init_header(this);\n",
" this._init_canvas(this);\n",
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"\n",
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"\n",
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" fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
" }\n",
" fig.send_message(\"refresh\", {});\n",
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"\n",
" this.imageObj.onload = function() {\n",
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" // Full images could contain transparency (where diff images\n",
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"\n",
" this.ws.onmessage = this._make_on_message_function(this);\n",
"\n",
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"}\n",
"\n",
"mpl.figure.prototype._init_header = function() {\n",
" var titlebar = $(\n",
" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
" 'ui-helper-clearfix\"/>');\n",
" var titletext = $(\n",
" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
" 'text-align: center; padding: 3px;\"/>');\n",
" titlebar.append(titletext)\n",
" this.root.append(titlebar);\n",
" this.header = titletext[0];\n",
"}\n",
"\n",
"\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._init_canvas = function() {\n",
" var fig = this;\n",
"\n",
" var canvas_div = $('<div/>');\n",
"\n",
" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
"\n",
" function canvas_keyboard_event(event) {\n",
" return fig.key_event(event, event['data']);\n",
" }\n",
"\n",
" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
" this.canvas_div = canvas_div\n",
" this._canvas_extra_style(canvas_div)\n",
" this.root.append(canvas_div);\n",
"\n",
" var canvas = $('<canvas/>');\n",
" canvas.addClass('mpl-canvas');\n",
" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
"\n",
" this.canvas = canvas[0];\n",
" this.context = canvas[0].getContext(\"2d\");\n",
"\n",
" var backingStore = this.context.backingStorePixelRatio ||\n",
"\tthis.context.webkitBackingStorePixelRatio ||\n",
"\tthis.context.mozBackingStorePixelRatio ||\n",
"\tthis.context.msBackingStorePixelRatio ||\n",
"\tthis.context.oBackingStorePixelRatio ||\n",
"\tthis.context.backingStorePixelRatio || 1;\n",
"\n",
" mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
"\n",
" var rubberband = $('<canvas/>');\n",
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
"\n",
" var pass_mouse_events = true;\n",
"\n",
" canvas_div.resizable({\n",
" start: function(event, ui) {\n",
" pass_mouse_events = false;\n",
" },\n",
" resize: function(event, ui) {\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" stop: function(event, ui) {\n",
" pass_mouse_events = true;\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" });\n",
"\n",
" function mouse_event_fn(event) {\n",
" if (pass_mouse_events)\n",
" return fig.mouse_event(event, event['data']);\n",
" }\n",
"\n",
" rubberband.mousedown('button_press', mouse_event_fn);\n",
" rubberband.mouseup('button_release', mouse_event_fn);\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
"\n",
" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
"\n",
" canvas_div.on(\"wheel\", function (event) {\n",
" event = event.originalEvent;\n",
" event['data'] = 'scroll'\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" mouse_event_fn(event);\n",
" });\n",
"\n",
" canvas_div.append(canvas);\n",
" canvas_div.append(rubberband);\n",
"\n",
" this.rubberband = rubberband;\n",
" this.rubberband_canvas = rubberband[0];\n",
" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
" this.rubberband_context.strokeStyle = \"#000000\";\n",
"\n",
" this._resize_canvas = function(width, height) {\n",
" // Keep the size of the canvas, canvas container, and rubber band\n",
" // canvas in synch.\n",
" canvas_div.css('width', width)\n",
" canvas_div.css('height', height)\n",
"\n",
" canvas.attr('width', width * mpl.ratio);\n",
" canvas.attr('height', height * mpl.ratio);\n",
" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
"\n",
" rubberband.attr('width', width);\n",
" rubberband.attr('height', height);\n",
" }\n",
"\n",
" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
" // upon first draw.\n",
" this._resize_canvas(600, 600);\n",
"\n",
" // Disable right mouse context menu.\n",
" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
" return false;\n",
" });\n",
"\n",
" function set_focus () {\n",
" canvas.focus();\n",
" canvas_div.focus();\n",
" }\n",
"\n",
" window.setTimeout(set_focus, 100);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" // put a spacer in here.\n",
" continue;\n",
" }\n",
" var button = $('<button/>');\n",
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
" 'ui-button-icon-only');\n",
" button.attr('role', 'button');\n",
" button.attr('aria-disabled', 'false');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
"\n",
" var icon_img = $('<span/>');\n",
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
" icon_img.addClass(image);\n",
" icon_img.addClass('ui-corner-all');\n",
"\n",
" var tooltip_span = $('<span/>');\n",
" tooltip_span.addClass('ui-button-text');\n",
" tooltip_span.html(tooltip);\n",
"\n",
" button.append(icon_img);\n",
" button.append(tooltip_span);\n",
"\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" var fmt_picker_span = $('<span/>');\n",
"\n",
" var fmt_picker = $('<select/>');\n",
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
" fmt_picker_span.append(fmt_picker);\n",
" nav_element.append(fmt_picker_span);\n",
" this.format_dropdown = fmt_picker[0];\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = $(\n",
" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
" fmt_picker.append(option)\n",
" }\n",
"\n",
" // Add hover states to the ui-buttons\n",
" $( \".ui-button\" ).hover(\n",
" function() { $(this).addClass(\"ui-state-hover\");},\n",
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
" );\n",
"\n",
" var status_bar = $('<span class=\"mpl-message\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"}\n",
"\n",
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
"}\n",
"\n",
"mpl.figure.prototype.send_message = function(type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"}\n",
"\n",
"mpl.figure.prototype.send_draw_message = function() {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
" }\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1]);\n",
" fig.send_message(\"refresh\", {});\n",
" };\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
" var x0 = msg['x0'] / mpl.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
" var x1 = msg['x1'] / mpl.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0, 0, fig.canvas.width, fig.canvas.height);\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
" var cursor = msg['cursor'];\n",
" switch(cursor)\n",
" {\n",
" case 0:\n",
" cursor = 'pointer';\n",
" break;\n",
" case 1:\n",
" cursor = 'default';\n",
" break;\n",
" case 2:\n",
" cursor = 'crosshair';\n",
" break;\n",
" case 3:\n",
" cursor = 'move';\n",
" break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = cursor;\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
" // Request the server to send over a new figure.\n",
" fig.send_draw_message();\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
" fig.image_mode = msg['mode'];\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Called whenever the canvas gets updated.\n",
" this.send_message(\"ack\", {});\n",
"}\n",
"\n",
"// A function to construct a web socket function for onmessage handling.\n",
"// Called in the figure constructor.\n",
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" evt.data.type = \"image/png\";\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src);\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig[\"handle_\" + msg_type];\n",
" } catch (e) {\n",
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" // select the cell after this one\n",
" var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
" IPython.notebook.select(index + 1);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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width=\"640\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
"<matplotlib.text.Text at 0x123de9650>"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Plot the values\n",
"\n",
"f, ax = plt.subplots()\n",
"\n",
"ax.plot(flux_range, tot_cont)\n",
"\n",
"ax.set_ylabel(\"Contrast\")\n",
"ax.set_xlabel(\"Flux [mJy]\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 2",
"language": "python",
"name": "python2"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 2
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
"version": "2.7.13"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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