diff --git a/Animation.gif b/Animation.gif new file mode 100644 index 0000000..7a5a19d Binary files /dev/null and b/Animation.gif differ diff --git a/Tutorial_1_ArrayConfig.ipynb b/Tutorial_1_ArrayConfig.ipynb new file mode 100644 index 0000000..fe3bdac --- /dev/null +++ b/Tutorial_1_ArrayConfig.ipynb @@ -0,0 +1,11700 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "%load_ext autoreload\n", + "%autoreload 2\n", + "%matplotlib notebook" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "from ctadiv import *\n", + "from ctadiv.ArrayConfig import *" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Load a CTA configuration" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "# Note that if the radius is in meters, \n", + "# you can set LoadConfig(file, radius=\"meters\")\n", + "# defalut is in degrees\n", + "\n", + "array = LoadConfig(\"./config/layout-3AL4M15-5.txt\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Check configuration table" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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' +\n", + " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n", + " 'Firefox 4 and 5 are also supported but you ' +\n", + " 'have to enable WebSockets in about:config.'\n", + " );\n", + " }\n", + "};\n", + "\n", + "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n", + " this.id = figure_id;\n", + "\n", + " this.ws = websocket;\n", + "\n", + " this.supports_binary = this.ws.binaryType !== undefined;\n", + "\n", + " if (!this.supports_binary) {\n", + " var warnings = document.getElementById('mpl-warnings');\n", + " if (warnings) {\n", + " warnings.style.display = 'block';\n", + " warnings.textContent =\n", + " 'This browser does not support binary websocket messages. 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height: ' + height + 'px;'\n", + " );\n", + "\n", + " rubberband_canvas.setAttribute('width', width);\n", + " rubberband_canvas.setAttribute('height', height);\n", + "\n", + " // And update the size in Python. We ignore the initial 0/0 size\n", + " // that occurs as the element is placed into the DOM, which should\n", + " // otherwise not happen due to the minimum size styling.\n", + " if (width != 0 && height != 0) {\n", + " fig.request_resize(width, height);\n", + " }\n", + " }\n", + " });\n", + " this.resizeObserverInstance.observe(canvas_div);\n", + "\n", + " function on_mouse_event_closure(name) {\n", + " return function (event) {\n", + " return fig.mouse_event(event, name);\n", + " };\n", + " }\n", + "\n", + " rubberband_canvas.addEventListener(\n", + " 'mousedown',\n", + " on_mouse_event_closure('button_press')\n", + " );\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseup',\n", + " on_mouse_event_closure('button_release')\n", + " );\n", + " // Throttle sequential mouse events to 1 every 20ms.\n", + " rubberband_canvas.addEventListener(\n", + " 'mousemove',\n", + " on_mouse_event_closure('motion_notify')\n", + " );\n", + "\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseenter',\n", + " on_mouse_event_closure('figure_enter')\n", + " );\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseleave',\n", + " on_mouse_event_closure('figure_leave')\n", + " );\n", + "\n", + " canvas_div.addEventListener('wheel', function (event) {\n", + " if (event.deltaY < 0) {\n", + " event.step = 1;\n", + " } else {\n", + " event.step = -1;\n", + " }\n", + " on_mouse_event_closure('scroll')(event);\n", + " });\n", + "\n", + " canvas_div.appendChild(canvas);\n", + " canvas_div.appendChild(rubberband_canvas);\n", + "\n", + " this.rubberband_context = rubberband_canvas.getContext('2d');\n", + " this.rubberband_context.strokeStyle = '#000000';\n", + "\n", + " this._resize_canvas = function (width, height, forward) {\n", + " if (forward) {\n", + " canvas_div.style.width = width + 'px';\n", + " canvas_div.style.height = height + 'px';\n", + " }\n", + " };\n", + "\n", + " // Disable right mouse context menu.\n", + " this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n", + " event.preventDefault();\n", + " return false;\n", + " });\n", + "\n", + " function set_focus() {\n", + " canvas.focus();\n", + " canvas_div.focus();\n", + " }\n", + "\n", + " window.setTimeout(set_focus, 100);\n", + "};\n", + "\n", + "mpl.figure.prototype._init_toolbar = function () {\n", + " var fig = this;\n", + "\n", + " var toolbar = document.createElement('div');\n", + " toolbar.classList = 'mpl-toolbar';\n", + " this.root.appendChild(toolbar);\n", + "\n", + " function on_click_closure(name) {\n", + " return function (_event) {\n", + " return fig.toolbar_button_onclick(name);\n", + " };\n", + " }\n", + "\n", + " function on_mouseover_closure(tooltip) {\n", + " return function (event) {\n", + " if (!event.currentTarget.disabled) {\n", + " return fig.toolbar_button_onmouseover(tooltip);\n", + " }\n", + " };\n", + " }\n", + "\n", + " fig.buttons = {};\n", + " var buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'mpl-button-group';\n", + " for (var toolbar_ind in mpl.toolbar_items) {\n", + " var name = mpl.toolbar_items[toolbar_ind][0];\n", + " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", + " var image = mpl.toolbar_items[toolbar_ind][2];\n", + " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", + "\n", + " if (!name) {\n", + " /* Instead of a spacer, we start a new button group. */\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + " buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'mpl-button-group';\n", + " continue;\n", + " }\n", + "\n", + " var button = (fig.buttons[name] = document.createElement('button'));\n", + " button.classList = 'mpl-widget';\n", + " button.setAttribute('role', 'button');\n", + " button.setAttribute('aria-disabled', 'false');\n", + " button.addEventListener('click', on_click_closure(method_name));\n", + " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", + "\n", + " var icon_img = document.createElement('img');\n", + " icon_img.src = '_images/' + image + '.png';\n", + " icon_img.srcset = '_images/' + image + '_large.png 2x';\n", + " icon_img.alt = tooltip;\n", + " button.appendChild(icon_img);\n", + "\n", + " buttonGroup.appendChild(button);\n", + " }\n", + "\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + "\n", + " var fmt_picker = document.createElement('select');\n", + " fmt_picker.classList = 'mpl-widget';\n", + " toolbar.appendChild(fmt_picker);\n", + " this.format_dropdown = fmt_picker;\n", + "\n", + " for (var ind in mpl.extensions) {\n", + " var fmt = mpl.extensions[ind];\n", + " var option = document.createElement('option');\n", + " option.selected = fmt === mpl.default_extension;\n", + " option.innerHTML = fmt;\n", + " fmt_picker.appendChild(option);\n", + " }\n", + "\n", + " var status_bar = document.createElement('span');\n", + " status_bar.classList = 'mpl-message';\n", + " toolbar.appendChild(status_bar);\n", + " this.message = status_bar;\n", + "};\n", + "\n", + "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n", + " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n", + " // which will in turn request a refresh of the image.\n", + " this.send_message('resize', { width: x_pixels, height: y_pixels });\n", + "};\n", + "\n", + "mpl.figure.prototype.send_message = function (type, properties) {\n", + " properties['type'] = type;\n", + " properties['figure_id'] = this.id;\n", + " this.ws.send(JSON.stringify(properties));\n", + "};\n", + "\n", + "mpl.figure.prototype.send_draw_message = function () {\n", + " if (!this.waiting) {\n", + " this.waiting = true;\n", + " this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_save = function (fig, _msg) {\n", + " var format_dropdown = fig.format_dropdown;\n", + " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n", + " fig.ondownload(fig, format);\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_resize = function (fig, msg) {\n", + " var size = msg['size'];\n", + " if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n", + " fig._resize_canvas(size[0], size[1], msg['forward']);\n", + " fig.send_message('refresh', {});\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n", + " var x0 = msg['x0'] / fig.ratio;\n", + " var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n", + " var x1 = msg['x1'] / fig.ratio;\n", + " var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n", + " x0 = Math.floor(x0) + 0.5;\n", + " y0 = Math.floor(y0) + 0.5;\n", + " x1 = Math.floor(x1) + 0.5;\n", + " y1 = Math.floor(y1) + 0.5;\n", + " var min_x = Math.min(x0, x1);\n", + " var min_y = Math.min(y0, y1);\n", + " var width = Math.abs(x1 - x0);\n", + " var height = Math.abs(y1 - y0);\n", + "\n", + " fig.rubberband_context.clearRect(\n", + " 0,\n", + " 0,\n", + " fig.canvas.width / fig.ratio,\n", + " fig.canvas.height / fig.ratio\n", + " );\n", + "\n", + " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n", + " // Updates the figure title.\n", + " fig.header.textContent = msg['label'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n", + " var cursor = msg['cursor'];\n", + " switch (cursor) {\n", + " case 0:\n", + " cursor = 'pointer';\n", + " break;\n", + " case 1:\n", + " cursor = 'default';\n", + " break;\n", + " case 2:\n", + " cursor = 'crosshair';\n", + " break;\n", + " case 3:\n", + " cursor = 'move';\n", + " break;\n", + " }\n", + " fig.rubberband_canvas.style.cursor = cursor;\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_message = function (fig, msg) {\n", + " fig.message.textContent = msg['message'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n", + " // Request the server to send over a new figure.\n", + " fig.send_draw_message();\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n", + " fig.image_mode = msg['mode'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n", + " for (var key in msg) {\n", + " if (!(key in fig.buttons)) {\n", + " continue;\n", + " }\n", + " fig.buttons[key].disabled = !msg[key];\n", + " fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n", + " if (msg['mode'] === 'PAN') {\n", + " fig.buttons['Pan'].classList.add('active');\n", + " fig.buttons['Zoom'].classList.remove('active');\n", + " } else if (msg['mode'] === 'ZOOM') {\n", + " fig.buttons['Pan'].classList.remove('active');\n", + " fig.buttons['Zoom'].classList.add('active');\n", + " } else {\n", + " fig.buttons['Pan'].classList.remove('active');\n", + " fig.buttons['Zoom'].classList.remove('active');\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.updated_canvas_event = function () {\n", + " // Called whenever the canvas gets updated.\n", + " this.send_message('ack', {});\n", + "};\n", + "\n", + "// A function to construct a web socket function for onmessage handling.\n", + "// Called in the figure constructor.\n", + "mpl.figure.prototype._make_on_message_function = function (fig) {\n", + " return function socket_on_message(evt) {\n", + " if (evt.data instanceof Blob) {\n", + " /* 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", + "\n", + " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n", + " evt.data\n", + " );\n", + " fig.updated_canvas_event();\n", + " fig.waiting = false;\n", + " return;\n", + " } else if (\n", + " typeof evt.data === 'string' &&\n", + " evt.data.slice(0, 21) === 'data:image/png;base64'\n", + " ) {\n", + " fig.imageObj.src = evt.data;\n", + " fig.updated_canvas_event();\n", + " fig.waiting = false;\n", + " return;\n", + " }\n", + "\n", + " var msg = JSON.parse(evt.data);\n", + " var msg_type = msg['type'];\n", + "\n", + " // Call the \"handle_{type}\" callback, which takes\n", + " // the figure and JSON message as its only arguments.\n", + " try {\n", + " var callback = fig['handle_' + msg_type];\n", + " } catch (e) {\n", + " console.log(\n", + " \"No handler for the '\" + msg_type + \"' message type: \",\n", + " msg\n", + " );\n", + " return;\n", + " }\n", + "\n", + " if (callback) {\n", + " try {\n", + " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n", + " callback(fig, msg);\n", + " } catch (e) {\n", + " console.log(\n", + " \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n", + " e,\n", + " e.stack,\n", + " msg\n", + " );\n", + " }\n", + " }\n", + " };\n", + "};\n", + "\n", + "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n", + "mpl.findpos = function (e) {\n", + " //this section is from http://www.quirksmode.org/js/events_properties.html\n", + " var targ;\n", + " if (!e) {\n", + " e = window.event;\n", + " }\n", + " if (e.target) {\n", + " targ = e.target;\n", + " } else if (e.srcElement) {\n", + " targ = e.srcElement;\n", + " }\n", + " if (targ.nodeType === 3) {\n", + " // defeat Safari bug\n", + " targ = targ.parentNode;\n", + " }\n", + "\n", + " // pageX,Y are the mouse positions relative to the document\n", + " var boundingRect = targ.getBoundingClientRect();\n", + " var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n", + " var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n", + "\n", + " return { x: x, y: y };\n", + "};\n", + "\n", + "/*\n", + " * return a copy of an object with only non-object keys\n", + " * we need this to avoid circular references\n", + " * http://stackoverflow.com/a/24161582/3208463\n", + " */\n", + "function simpleKeys(original) {\n", + " return Object.keys(original).reduce(function (obj, key) {\n", + " if (typeof original[key] !== 'object') {\n", + " obj[key] = original[key];\n", + " }\n", + " return obj;\n", + " }, {});\n", + "}\n", + "\n", + "mpl.figure.prototype.mouse_event = function (event, name) {\n", + " var canvas_pos = mpl.findpos(event);\n", + "\n", + " if (name === 'button_press') {\n", + " this.canvas.focus();\n", + " this.canvas_div.focus();\n", + " }\n", + "\n", + " var x = canvas_pos.x * this.ratio;\n", + " var y = canvas_pos.y * this.ratio;\n", + "\n", + " this.send_message(name, {\n", + " x: x,\n", + " y: y,\n", + " button: event.button,\n", + " step: event.step,\n", + " guiEvent: simpleKeys(event),\n", + " });\n", + "\n", + " /* This prevents the web browser from automatically changing to\n", + " * the text insertion cursor when the button is pressed. We want\n", + " * to control all of the cursor setting manually through the\n", + " * 'cursor' event from matplotlib */\n", + " event.preventDefault();\n", + " return false;\n", + "};\n", + "\n", + "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n", + " // Handle any extra behaviour associated with a key event\n", + "};\n", + "\n", + "mpl.figure.prototype.key_event = function (event, name) {\n", + " // Prevent repeat events\n", + " if (name === 'key_press') {\n", + " if (event.which === this._key) {\n", + " return;\n", + " } else {\n", + " this._key = event.which;\n", + " }\n", + " }\n", + " if (name === 'key_release') {\n", + " this._key = null;\n", + " }\n", + "\n", + " var value = '';\n", + " if (event.ctrlKey && event.which !== 17) {\n", + " value += 'ctrl+';\n", + " }\n", + " if (event.altKey && event.which !== 18) {\n", + " value += 'alt+';\n", + " }\n", + " if (event.shiftKey && event.which !== 16) {\n", + " value += 'shift+';\n", + " }\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, guiEvent: simpleKeys(event) });\n", + " return false;\n", + "};\n", + "\n", + "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n", + " if (name === 'download') {\n", + " this.handle_save(this, null);\n", + " } else {\n", + " this.send_message('toolbar_button', { name: name });\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n", + " this.message.textContent = tooltip;\n", + "};\n", + "\n", + "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n", + "// prettier-ignore\n", + "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n", + "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n", + "\n", + "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n", + "\n", + "mpl.default_extension = \"png\";/* global mpl */\n", + "\n", + "var comm_websocket_adapter = function (comm) {\n", + " // Create a \"websocket\"-like object which calls the given IPython comm\n", + " // object with the appropriate methods. Currently this is a non binary\n", + " // socket, so there is still some room for performance tuning.\n", + " var ws = {};\n", + "\n", + " ws.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 overridden (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 = document.getElementById(id);\n", + " var ws_proxy = comm_websocket_adapter(comm);\n", + "\n", + " function ondownload(figure, _format) {\n", + " window.open(figure.canvas.toDataURL());\n", + " }\n", + "\n", + " var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n", + "\n", + " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n", + " // web socket which is closed, not our websocket->open comm proxy.\n", + " ws_proxy.onopen();\n", + "\n", + " fig.parent_element = element;\n", + " fig.cell_info = mpl.find_output_cell(\"
\");\n", + " if (!fig.cell_info) {\n", + " console.error('Failed to find cell for figure', id, fig);\n", + " return;\n", + " }\n", + " fig.cell_info[0].output_area.element.on(\n", + " 'cleared',\n", + " { fig: fig },\n", + " fig._remove_fig_handler\n", + " );\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_close = function (fig, msg) {\n", + " var width = fig.canvas.width / fig.ratio;\n", + " fig.cell_info[0].output_area.element.off(\n", + " 'cleared',\n", + " fig._remove_fig_handler\n", + " );\n", + " fig.resizeObserverInstance.unobserve(fig.canvas_div);\n", + "\n", + " // Update the output cell to use the data from the current canvas.\n", + " fig.push_to_output();\n", + " var dataURL = fig.canvas.toDataURL();\n", + " // Re-enable the keyboard manager in IPython - without this line, in FF,\n", + " // the notebook keyboard shortcuts fail.\n", + " IPython.keyboard_manager.enable();\n", + " fig.parent_element.innerHTML =\n", + " '';\n", + " fig.close_ws(fig, msg);\n", + "};\n", + "\n", + "mpl.figure.prototype.close_ws = function (fig, msg) {\n", + " fig.send_message('closing', msg);\n", + " // fig.ws.close()\n", + "};\n", + "\n", + "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n", + " // Turn the data on the canvas into data in the output cell.\n", + " var width = this.canvas.width / this.ratio;\n", + " var dataURL = this.canvas.toDataURL();\n", + " this.cell_info[1]['text/html'] =\n", + " '';\n", + "};\n", + "\n", + "mpl.figure.prototype.updated_canvas_event = function () {\n", + " // Tell IPython that the notebook contents must change.\n", + " IPython.notebook.set_dirty(true);\n", + " this.send_message('ack', {});\n", + " var fig = this;\n", + " // Wait a second, then push the new image to the DOM so\n", + " // that it is saved nicely (might be nice to debounce this).\n", + " setTimeout(function () {\n", + " fig.push_to_output();\n", + " }, 1000);\n", + "};\n", + "\n", + "mpl.figure.prototype._init_toolbar = function () {\n", + " var fig = this;\n", + "\n", + " var toolbar = document.createElement('div');\n", + " toolbar.classList = 'btn-toolbar';\n", + " this.root.appendChild(toolbar);\n", + "\n", + " function on_click_closure(name) {\n", + " return function (_event) {\n", + " return fig.toolbar_button_onclick(name);\n", + " };\n", + " }\n", + "\n", + " function on_mouseover_closure(tooltip) {\n", + " return function (event) {\n", + " if (!event.currentTarget.disabled) {\n", + " return fig.toolbar_button_onmouseover(tooltip);\n", + " }\n", + " };\n", + " }\n", + "\n", + " fig.buttons = {};\n", + " var buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'btn-group';\n", + " var button;\n", + " for (var toolbar_ind in mpl.toolbar_items) {\n", + " var name = mpl.toolbar_items[toolbar_ind][0];\n", + " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", + " var image = mpl.toolbar_items[toolbar_ind][2];\n", + " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", + "\n", + " if (!name) {\n", + " /* Instead of a spacer, we start a new button group. */\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + " buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'btn-group';\n", + " continue;\n", + " }\n", + "\n", + " button = fig.buttons[name] = document.createElement('button');\n", + " button.classList = 'btn btn-default';\n", + " button.href = '#';\n", + " button.title = name;\n", + " button.innerHTML = '';\n", + " button.addEventListener('click', on_click_closure(method_name));\n", + " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", + " buttonGroup.appendChild(button);\n", + " }\n", + "\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + "\n", + " // Add the status bar.\n", + " var status_bar = document.createElement('span');\n", + " status_bar.classList = 'mpl-message pull-right';\n", + " toolbar.appendChild(status_bar);\n", + " this.message = status_bar;\n", + "\n", + " // Add the close button to the window.\n", + " var buttongrp = document.createElement('div');\n", + " buttongrp.classList = 'btn-group inline pull-right';\n", + " button = document.createElement('button');\n", + " button.classList = 'btn btn-mini btn-primary';\n", + " button.href = '#';\n", + " button.title = 'Stop Interaction';\n", + " button.innerHTML = '';\n", + " button.addEventListener('click', function (_evt) {\n", + " fig.handle_close(fig, {});\n", + " });\n", + " button.addEventListener(\n", + " 'mouseover',\n", + " on_mouseover_closure('Stop Interaction')\n", + " );\n", + " buttongrp.appendChild(button);\n", + " var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n", + " titlebar.insertBefore(buttongrp, titlebar.firstChild);\n", + "};\n", + "\n", + "mpl.figure.prototype._remove_fig_handler = function (event) {\n", + " var fig = event.data.fig;\n", + " if (event.target !== this) {\n", + " // Ignore bubbled events from children.\n", + " return;\n", + " }\n", + " fig.close_ws(fig, {});\n", + "};\n", + "\n", + "mpl.figure.prototype._root_extra_style = function (el) {\n", + " el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n", + "};\n", + "\n", + "mpl.figure.prototype._canvas_extra_style = function (el) {\n", + " // this is important to make the div 'focusable\n", + " el.setAttribute('tabindex', 0);\n", + " // reach out to IPython and tell the keyboard manager to turn it's self\n", + " // off when our div gets focus\n", + "\n", + " // location in version 3\n", + " if (IPython.notebook.keyboard_manager) {\n", + " IPython.notebook.keyboard_manager.register_events(el);\n", + " } else {\n", + " // location in version 2\n", + " IPython.keyboard_manager.register_events(el);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype._key_event_extra = function (event, _name) {\n", + " var manager = IPython.notebook.keyboard_manager;\n", + " if (!manager) {\n", + " manager = IPython.keyboard_manager;\n", + " }\n", + "\n", + " // Check for shift+enter\n", + " if (event.shiftKey && event.which === 13) {\n", + " this.canvas_div.blur();\n", + " // select the cell after this one\n", + " var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n", + " IPython.notebook.select(index + 1);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_save = function (fig, _msg) {\n", + " fig.ondownload(fig, null);\n", + "};\n", + "\n", + "mpl.find_output_cell = function (html_output) {\n", + " // Return the cell and output element which can be found *uniquely* in the notebook.\n", + " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n", + " // IPython event is triggered only after the cells have been serialised, which for\n", + " // our purposes (turning an active figure into a static one), is too late.\n", + " var cells = IPython.notebook.get_cells();\n", + " var ncells = cells.length;\n", + " for (var i = 0; i < ncells; i++) {\n", + " var cell = cells[i];\n", + " if (cell.cell_type === 'code') {\n", + " for (var j = 0; j < cell.output_area.outputs.length; j++) {\n", + " var data = cell.output_area.outputs[j];\n", + " if (data.data) {\n", + " // IPython >= 3 moved mimebundle to data attribute of output\n", + " data = data.data;\n", + " }\n", + " if (data['text/html'] === html_output) {\n", + " return [cell, data, j];\n", + " }\n", + " }\n", + " }\n", + " }\n", + "};\n", + "\n", + "// Register the function which deals with the matplotlib target/channel.\n", + "// The kernel may be null if the page has been refreshed.\n", + "if (IPython.notebook.kernel !== null) {\n", + " IPython.notebook.kernel.comm_manager.register_target(\n", + " 'matplotlib',\n", + " mpl.mpl_figure_comm\n", + " );\n", + "}\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "group = {\"LST\": [1,2,3,4],\n", + " \"MST\": np.arange(5, 20)}\n", + "\n", + "sub_groups={'1': [5,17,18], \n", + " '2': [10,11,14],\n", + " '3': [7,15,8], \n", + " '4': [9,13,19],\n", + " '5': [6,12,16],\n", + " 'LST': [1,2,3,4]}\n", + "\n", + "array.display(\"xz\", group=group)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Subarray barycenter" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "from ctadiv.ArrayConfig import visualization as visual" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "application/javascript": [ + "/* Put everything inside the global mpl namespace */\n", + "/* global mpl */\n", + "window.mpl = {};\n", + "\n", + "mpl.get_websocket_type = function () {\n", + " if (typeof WebSocket !== 'undefined') {\n", + " return WebSocket;\n", + " } else if (typeof MozWebSocket !== 'undefined') {\n", + " return MozWebSocket;\n", + " } else {\n", + " alert(\n", + " 'Your browser does not have WebSocket support. ' +\n", + " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n", + " 'Firefox 4 and 5 are also supported but you ' +\n", + " 'have to enable WebSockets in about:config.'\n", + " );\n", + " }\n", + "};\n", + "\n", + "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n", + " this.id = figure_id;\n", + "\n", + " this.ws = websocket;\n", + "\n", + " this.supports_binary = this.ws.binaryType !== undefined;\n", + "\n", + " if (!this.supports_binary) {\n", + " var warnings = document.getElementById('mpl-warnings');\n", + " if (warnings) {\n", + " warnings.style.display = 'block';\n", + " warnings.textContent =\n", + " 'This browser does not support binary websocket messages. ' +\n", + " 'Performance may be slow.';\n", + " }\n", + " }\n", + "\n", + " this.imageObj = new Image();\n", + "\n", + " this.context = undefined;\n", + " this.message = undefined;\n", + " this.canvas = undefined;\n", + " this.rubberband_canvas = undefined;\n", + " this.rubberband_context = undefined;\n", + " this.format_dropdown = undefined;\n", + "\n", + " this.image_mode = 'full';\n", + "\n", + " this.root = document.createElement('div');\n", + " this.root.setAttribute('style', 'display: inline-block');\n", + " this._root_extra_style(this.root);\n", + "\n", + " parent_element.appendChild(this.root);\n", + "\n", + " this._init_header(this);\n", + " this._init_canvas(this);\n", + " this._init_toolbar(this);\n", + "\n", + " var fig = this;\n", + "\n", + " this.waiting = false;\n", + "\n", + " this.ws.onopen = function () {\n", + " fig.send_message('supports_binary', { value: fig.supports_binary });\n", + " fig.send_message('send_image_mode', {});\n", + " if (fig.ratio !== 1) {\n", + " fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n", + " }\n", + " fig.send_message('refresh', {});\n", + " };\n", + "\n", + " this.imageObj.onload = function () {\n", + " if (fig.image_mode === 'full') {\n", + " // Full images could contain transparency (where diff images\n", + " // almost always do), so we need to clear the canvas so that\n", + " // there is no ghosting.\n", + " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n", + " }\n", + " fig.context.drawImage(fig.imageObj, 0, 0);\n", + " };\n", + "\n", + " this.imageObj.onunload = function () {\n", + " fig.ws.close();\n", + " };\n", + "\n", + " this.ws.onmessage = this._make_on_message_function(this);\n", + "\n", + " this.ondownload = ondownload;\n", + "};\n", + "\n", + "mpl.figure.prototype._init_header = function () {\n", + " var titlebar = document.createElement('div');\n", + " titlebar.classList =\n", + " 'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n", + " var titletext = document.createElement('div');\n", + " titletext.classList = 'ui-dialog-title';\n", + " titletext.setAttribute(\n", + " 'style',\n", + " 'width: 100%; text-align: center; padding: 3px;'\n", + " );\n", + " titlebar.appendChild(titletext);\n", + " this.root.appendChild(titlebar);\n", + " this.header = titletext;\n", + "};\n", + "\n", + "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n", + "\n", + "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n", + "\n", + "mpl.figure.prototype._init_canvas = function () {\n", + " var fig = this;\n", + "\n", + " var canvas_div = (this.canvas_div = document.createElement('div'));\n", + " canvas_div.setAttribute(\n", + " 'style',\n", + " 'border: 1px solid #ddd;' +\n", + " 'box-sizing: content-box;' +\n", + " 'clear: both;' +\n", + " 'min-height: 1px;' +\n", + " 'min-width: 1px;' +\n", + " 'outline: 0;' +\n", + " 'overflow: hidden;' +\n", + " 'position: relative;' +\n", + " 'resize: both;'\n", + " );\n", + "\n", + " function on_keyboard_event_closure(name) {\n", + " return function (event) {\n", + " return fig.key_event(event, name);\n", + " };\n", + " }\n", + "\n", + " canvas_div.addEventListener(\n", + " 'keydown',\n", + " on_keyboard_event_closure('key_press')\n", + " );\n", + " canvas_div.addEventListener(\n", + " 'keyup',\n", + " on_keyboard_event_closure('key_release')\n", + " );\n", + "\n", + " this._canvas_extra_style(canvas_div);\n", + " this.root.appendChild(canvas_div);\n", + "\n", + " var canvas = (this.canvas = document.createElement('canvas'));\n", + " canvas.classList.add('mpl-canvas');\n", + " canvas.setAttribute('style', 'box-sizing: content-box;');\n", + "\n", + " this.context = canvas.getContext('2d');\n", + "\n", + " var backingStore =\n", + " this.context.backingStorePixelRatio ||\n", + " this.context.webkitBackingStorePixelRatio ||\n", + " this.context.mozBackingStorePixelRatio ||\n", + " this.context.msBackingStorePixelRatio ||\n", + " this.context.oBackingStorePixelRatio ||\n", + " this.context.backingStorePixelRatio ||\n", + " 1;\n", + "\n", + " this.ratio = (window.devicePixelRatio || 1) / backingStore;\n", + " if (this.ratio !== 1) {\n", + " fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n", + " }\n", + "\n", + " var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n", + " 'canvas'\n", + " ));\n", + " rubberband_canvas.setAttribute(\n", + " 'style',\n", + " 'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n", + " );\n", + "\n", + " // Apply a ponyfill if ResizeObserver is not implemented by browser.\n", + " if (this.ResizeObserver === undefined) {\n", + " if (window.ResizeObserver !== undefined) {\n", + " this.ResizeObserver = window.ResizeObserver;\n", + " } else {\n", + " var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n", + " this.ResizeObserver = obs.ResizeObserver;\n", + " }\n", + " }\n", + "\n", + " this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n", + " var nentries = entries.length;\n", + " for (var i = 0; i < nentries; i++) {\n", + " var entry = entries[i];\n", + " var width, height;\n", + " if (entry.contentBoxSize) {\n", + " if (entry.contentBoxSize instanceof Array) {\n", + " // Chrome 84 implements new version of spec.\n", + " width = entry.contentBoxSize[0].inlineSize;\n", + " height = entry.contentBoxSize[0].blockSize;\n", + " } else {\n", + " // Firefox implements old version of spec.\n", + " width = entry.contentBoxSize.inlineSize;\n", + " height = entry.contentBoxSize.blockSize;\n", + " }\n", + " } else {\n", + " // Chrome <84 implements even older version of spec.\n", + " width = entry.contentRect.width;\n", + " height = entry.contentRect.height;\n", + " }\n", + "\n", + " // Keep the size of the canvas and rubber band canvas in sync with\n", + " // the canvas container.\n", + " if (entry.devicePixelContentBoxSize) {\n", + " // Chrome 84 implements new version of spec.\n", + " canvas.setAttribute(\n", + " 'width',\n", + " entry.devicePixelContentBoxSize[0].inlineSize\n", + " );\n", + " canvas.setAttribute(\n", + " 'height',\n", + " entry.devicePixelContentBoxSize[0].blockSize\n", + " );\n", + " } else {\n", + " canvas.setAttribute('width', width * fig.ratio);\n", + " canvas.setAttribute('height', height * fig.ratio);\n", + " }\n", + " canvas.setAttribute(\n", + " 'style',\n", + " 'width: ' + width + 'px; height: ' + height + 'px;'\n", + " );\n", + "\n", + " rubberband_canvas.setAttribute('width', width);\n", + " rubberband_canvas.setAttribute('height', height);\n", + "\n", + " // And update the size in Python. We ignore the initial 0/0 size\n", + " // that occurs as the element is placed into the DOM, which should\n", + " // otherwise not happen due to the minimum size styling.\n", + " if (width != 0 && height != 0) {\n", + " fig.request_resize(width, height);\n", + " }\n", + " }\n", + " });\n", + " this.resizeObserverInstance.observe(canvas_div);\n", + "\n", + " function on_mouse_event_closure(name) {\n", + " return function (event) {\n", + " return fig.mouse_event(event, name);\n", + " };\n", + " }\n", + "\n", + " rubberband_canvas.addEventListener(\n", + " 'mousedown',\n", + " on_mouse_event_closure('button_press')\n", + " );\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseup',\n", + " on_mouse_event_closure('button_release')\n", + " );\n", + " // Throttle sequential mouse events to 1 every 20ms.\n", + " rubberband_canvas.addEventListener(\n", + " 'mousemove',\n", + " on_mouse_event_closure('motion_notify')\n", + " );\n", + "\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseenter',\n", + " on_mouse_event_closure('figure_enter')\n", + " );\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseleave',\n", + " on_mouse_event_closure('figure_leave')\n", + " );\n", + "\n", + " canvas_div.addEventListener('wheel', function (event) {\n", + " if (event.deltaY < 0) {\n", + " event.step = 1;\n", + " } else {\n", + " event.step = -1;\n", + " }\n", + " on_mouse_event_closure('scroll')(event);\n", + " });\n", + "\n", + " canvas_div.appendChild(canvas);\n", + " canvas_div.appendChild(rubberband_canvas);\n", + "\n", + " this.rubberband_context = rubberband_canvas.getContext('2d');\n", + " this.rubberband_context.strokeStyle = '#000000';\n", + "\n", + " this._resize_canvas = function (width, height, forward) {\n", + " if (forward) {\n", + " canvas_div.style.width = width + 'px';\n", + " canvas_div.style.height = height + 'px';\n", + " }\n", + " };\n", + "\n", + " // Disable right mouse context menu.\n", + " this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n", + " event.preventDefault();\n", + " return false;\n", + " });\n", + "\n", + " function set_focus() {\n", + " canvas.focus();\n", + " canvas_div.focus();\n", + " }\n", + "\n", + " window.setTimeout(set_focus, 100);\n", + "};\n", + "\n", + "mpl.figure.prototype._init_toolbar = function () {\n", + " var fig = this;\n", + "\n", + " var toolbar = document.createElement('div');\n", + " toolbar.classList = 'mpl-toolbar';\n", + " this.root.appendChild(toolbar);\n", + "\n", + " function on_click_closure(name) {\n", + " return function (_event) {\n", + " return fig.toolbar_button_onclick(name);\n", + " };\n", + " }\n", + "\n", + " function on_mouseover_closure(tooltip) {\n", + " return function (event) {\n", + " if (!event.currentTarget.disabled) {\n", + " return fig.toolbar_button_onmouseover(tooltip);\n", + " }\n", + " };\n", + " }\n", + "\n", + " fig.buttons = {};\n", + " var buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'mpl-button-group';\n", + " for (var toolbar_ind in mpl.toolbar_items) {\n", + " var name = mpl.toolbar_items[toolbar_ind][0];\n", + " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", + " var image = mpl.toolbar_items[toolbar_ind][2];\n", + " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", + "\n", + " if (!name) {\n", + " /* Instead of a spacer, we start a new button group. */\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + " buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'mpl-button-group';\n", + " continue;\n", + " }\n", + "\n", + " var button = (fig.buttons[name] = document.createElement('button'));\n", + " button.classList = 'mpl-widget';\n", + " button.setAttribute('role', 'button');\n", + " button.setAttribute('aria-disabled', 'false');\n", + " button.addEventListener('click', on_click_closure(method_name));\n", + " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", + "\n", + " var icon_img = document.createElement('img');\n", + " icon_img.src = '_images/' + image + '.png';\n", + " icon_img.srcset = '_images/' + image + '_large.png 2x';\n", + " icon_img.alt = tooltip;\n", + " button.appendChild(icon_img);\n", + "\n", + " buttonGroup.appendChild(button);\n", + " }\n", + "\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + "\n", + " var fmt_picker = document.createElement('select');\n", + " fmt_picker.classList = 'mpl-widget';\n", + " toolbar.appendChild(fmt_picker);\n", + " this.format_dropdown = fmt_picker;\n", + "\n", + " for (var ind in mpl.extensions) {\n", + " var fmt = mpl.extensions[ind];\n", + " var option = document.createElement('option');\n", + " option.selected = fmt === mpl.default_extension;\n", + " option.innerHTML = fmt;\n", + " fmt_picker.appendChild(option);\n", + " }\n", + "\n", + " var status_bar = document.createElement('span');\n", + " status_bar.classList = 'mpl-message';\n", + " toolbar.appendChild(status_bar);\n", + " this.message = status_bar;\n", + "};\n", + "\n", + "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n", + " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n", + " // which will in turn request a refresh of the image.\n", + " this.send_message('resize', { width: x_pixels, height: y_pixels });\n", + "};\n", + "\n", + "mpl.figure.prototype.send_message = function (type, properties) {\n", + " properties['type'] = type;\n", + " properties['figure_id'] = this.id;\n", + " this.ws.send(JSON.stringify(properties));\n", + "};\n", + "\n", + "mpl.figure.prototype.send_draw_message = function () {\n", + " if (!this.waiting) {\n", + " this.waiting = true;\n", + " this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_save = function (fig, _msg) {\n", + " var format_dropdown = fig.format_dropdown;\n", + " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n", + " fig.ondownload(fig, format);\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_resize = function (fig, msg) {\n", + " var size = msg['size'];\n", + " if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n", + " fig._resize_canvas(size[0], size[1], msg['forward']);\n", + " fig.send_message('refresh', {});\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n", + " var x0 = msg['x0'] / fig.ratio;\n", + " var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n", + " var x1 = msg['x1'] / fig.ratio;\n", + " var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n", + " x0 = Math.floor(x0) + 0.5;\n", + " y0 = Math.floor(y0) + 0.5;\n", + " x1 = Math.floor(x1) + 0.5;\n", + " y1 = Math.floor(y1) + 0.5;\n", + " var min_x = Math.min(x0, x1);\n", + " var min_y = Math.min(y0, y1);\n", + " var width = Math.abs(x1 - x0);\n", + " var height = Math.abs(y1 - y0);\n", + "\n", + " fig.rubberband_context.clearRect(\n", + " 0,\n", + " 0,\n", + " fig.canvas.width / fig.ratio,\n", + " fig.canvas.height / fig.ratio\n", + " );\n", + "\n", + " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n", + " // Updates the figure title.\n", + " fig.header.textContent = msg['label'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n", + " var cursor = msg['cursor'];\n", + " switch (cursor) {\n", + " case 0:\n", + " cursor = 'pointer';\n", + " break;\n", + " case 1:\n", + " cursor = 'default';\n", + " break;\n", + " case 2:\n", + " cursor = 'crosshair';\n", + " break;\n", + " case 3:\n", + " cursor = 'move';\n", + " break;\n", + " }\n", + " fig.rubberband_canvas.style.cursor = cursor;\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_message = function (fig, msg) {\n", + " fig.message.textContent = msg['message'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n", + " // Request the server to send over a new figure.\n", + " fig.send_draw_message();\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n", + " fig.image_mode = msg['mode'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n", + " for (var key in msg) {\n", + " if (!(key in fig.buttons)) {\n", + " continue;\n", + " }\n", + " fig.buttons[key].disabled = !msg[key];\n", + " fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n", + " if (msg['mode'] === 'PAN') {\n", + " fig.buttons['Pan'].classList.add('active');\n", + " fig.buttons['Zoom'].classList.remove('active');\n", + " } else if (msg['mode'] === 'ZOOM') {\n", + " fig.buttons['Pan'].classList.remove('active');\n", + " fig.buttons['Zoom'].classList.add('active');\n", + " } else {\n", + " fig.buttons['Pan'].classList.remove('active');\n", + " fig.buttons['Zoom'].classList.remove('active');\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.updated_canvas_event = function () {\n", + " // Called whenever the canvas gets updated.\n", + " this.send_message('ack', {});\n", + "};\n", + "\n", + "// A function to construct a web socket function for onmessage handling.\n", + "// Called in the figure constructor.\n", + "mpl.figure.prototype._make_on_message_function = function (fig) {\n", + " return function socket_on_message(evt) {\n", + " if (evt.data instanceof Blob) {\n", + " /* 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", + "\n", + " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n", + " evt.data\n", + " );\n", + " fig.updated_canvas_event();\n", + " fig.waiting = false;\n", + " return;\n", + " } else if (\n", + " typeof evt.data === 'string' &&\n", + " evt.data.slice(0, 21) === 'data:image/png;base64'\n", + " ) {\n", + " fig.imageObj.src = evt.data;\n", + " fig.updated_canvas_event();\n", + " fig.waiting = false;\n", + " return;\n", + " }\n", + "\n", + " var msg = JSON.parse(evt.data);\n", + " var msg_type = msg['type'];\n", + "\n", + " // Call the \"handle_{type}\" callback, which takes\n", + " // the figure and JSON message as its only arguments.\n", + " try {\n", + " var callback = fig['handle_' + msg_type];\n", + " } catch (e) {\n", + " console.log(\n", + " \"No handler for the '\" + msg_type + \"' message type: \",\n", + " msg\n", + " );\n", + " return;\n", + " }\n", + "\n", + " if (callback) {\n", + " try {\n", + " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n", + " callback(fig, msg);\n", + " } catch (e) {\n", + " console.log(\n", + " \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n", + " e,\n", + " e.stack,\n", + " msg\n", + " );\n", + " }\n", + " }\n", + " };\n", + "};\n", + "\n", + "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n", + "mpl.findpos = function (e) {\n", + " //this section is from http://www.quirksmode.org/js/events_properties.html\n", + " var targ;\n", + " if (!e) {\n", + " e = window.event;\n", + " }\n", + " if (e.target) {\n", + " targ = e.target;\n", + " } else if (e.srcElement) {\n", + " targ = e.srcElement;\n", + " }\n", + " if (targ.nodeType === 3) {\n", + " // defeat Safari bug\n", + " targ = targ.parentNode;\n", + " }\n", + "\n", + " // pageX,Y are the mouse positions relative to the document\n", + " var boundingRect = targ.getBoundingClientRect();\n", + " var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n", + " var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n", + "\n", + " return { x: x, y: y };\n", + "};\n", + "\n", + "/*\n", + " * return a copy of an object with only non-object keys\n", + " * we need this to avoid circular references\n", + " * http://stackoverflow.com/a/24161582/3208463\n", + " */\n", + "function simpleKeys(original) {\n", + " return Object.keys(original).reduce(function (obj, key) {\n", + " if (typeof original[key] !== 'object') {\n", + " obj[key] = original[key];\n", + " }\n", + " return obj;\n", + " }, {});\n", + "}\n", + "\n", + "mpl.figure.prototype.mouse_event = function (event, name) {\n", + " var canvas_pos = mpl.findpos(event);\n", + "\n", + " if (name === 'button_press') {\n", + " this.canvas.focus();\n", + " this.canvas_div.focus();\n", + " }\n", + "\n", + " var x = canvas_pos.x * this.ratio;\n", + " var y = canvas_pos.y * this.ratio;\n", + "\n", + " this.send_message(name, {\n", + " x: x,\n", + " y: y,\n", + " button: event.button,\n", + " step: event.step,\n", + " guiEvent: simpleKeys(event),\n", + " });\n", + "\n", + " /* This prevents the web browser from automatically changing to\n", + " * the text insertion cursor when the button is pressed. We want\n", + " * to control all of the cursor setting manually through the\n", + " * 'cursor' event from matplotlib */\n", + " event.preventDefault();\n", + " return false;\n", + "};\n", + "\n", + "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n", + " // Handle any extra behaviour associated with a key event\n", + "};\n", + "\n", + "mpl.figure.prototype.key_event = function (event, name) {\n", + " // Prevent repeat events\n", + " if (name === 'key_press') {\n", + " if (event.which === this._key) {\n", + " return;\n", + " } else {\n", + " this._key = event.which;\n", + " }\n", + " }\n", + " if (name === 'key_release') {\n", + " this._key = null;\n", + " }\n", + "\n", + " var value = '';\n", + " if (event.ctrlKey && event.which !== 17) {\n", + " value += 'ctrl+';\n", + " }\n", + " if (event.altKey && event.which !== 18) {\n", + " value += 'alt+';\n", + " }\n", + " if (event.shiftKey && event.which !== 16) {\n", + " value += 'shift+';\n", + " }\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, guiEvent: simpleKeys(event) });\n", + " return false;\n", + "};\n", + "\n", + "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n", + " if (name === 'download') {\n", + " this.handle_save(this, null);\n", + " } else {\n", + " this.send_message('toolbar_button', { name: name });\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n", + " this.message.textContent = tooltip;\n", + "};\n", + "\n", + "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n", + "// prettier-ignore\n", + "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n", + "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n", + "\n", + "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n", + "\n", + "mpl.default_extension = \"png\";/* global mpl */\n", + "\n", + "var comm_websocket_adapter = function (comm) {\n", + " // Create a \"websocket\"-like object which calls the given IPython comm\n", + " // object with the appropriate methods. Currently this is a non binary\n", + " // socket, so there is still some room for performance tuning.\n", + " var ws = {};\n", + "\n", + " ws.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 overridden (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 = document.getElementById(id);\n", + " var ws_proxy = comm_websocket_adapter(comm);\n", + "\n", + " function ondownload(figure, _format) {\n", + " window.open(figure.canvas.toDataURL());\n", + " }\n", + "\n", + " var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n", + "\n", + " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n", + " // web socket which is closed, not our websocket->open comm proxy.\n", + " ws_proxy.onopen();\n", + "\n", + " fig.parent_element = element;\n", + " fig.cell_info = mpl.find_output_cell(\"
\");\n", + " if (!fig.cell_info) {\n", + " console.error('Failed to find cell for figure', id, fig);\n", + " return;\n", + " }\n", + " fig.cell_info[0].output_area.element.on(\n", + " 'cleared',\n", + " { fig: fig },\n", + " fig._remove_fig_handler\n", + " );\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_close = function (fig, msg) {\n", + " var width = fig.canvas.width / fig.ratio;\n", + " fig.cell_info[0].output_area.element.off(\n", + " 'cleared',\n", + " fig._remove_fig_handler\n", + " );\n", + " fig.resizeObserverInstance.unobserve(fig.canvas_div);\n", + "\n", + " // Update the output cell to use the data from the current canvas.\n", + " fig.push_to_output();\n", + " var dataURL = fig.canvas.toDataURL();\n", + " // Re-enable the keyboard manager in IPython - without this line, in FF,\n", + " // the notebook keyboard shortcuts fail.\n", + " IPython.keyboard_manager.enable();\n", + " fig.parent_element.innerHTML =\n", + " '';\n", + " fig.close_ws(fig, msg);\n", + "};\n", + "\n", + "mpl.figure.prototype.close_ws = function (fig, msg) {\n", + " fig.send_message('closing', msg);\n", + " // fig.ws.close()\n", + "};\n", + "\n", + "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n", + " // Turn the data on the canvas into data in the output cell.\n", + " var width = this.canvas.width / this.ratio;\n", + " var dataURL = this.canvas.toDataURL();\n", + " this.cell_info[1]['text/html'] =\n", + " '';\n", + "};\n", + "\n", + "mpl.figure.prototype.updated_canvas_event = function () {\n", + " // Tell IPython that the notebook contents must change.\n", + " IPython.notebook.set_dirty(true);\n", + " this.send_message('ack', {});\n", + " var fig = this;\n", + " // Wait a second, then push the new image to the DOM so\n", + " // that it is saved nicely (might be nice to debounce this).\n", + " setTimeout(function () {\n", + " fig.push_to_output();\n", + " }, 1000);\n", + "};\n", + "\n", + "mpl.figure.prototype._init_toolbar = function () {\n", + " var fig = this;\n", + "\n", + " var toolbar = document.createElement('div');\n", + " toolbar.classList = 'btn-toolbar';\n", + " this.root.appendChild(toolbar);\n", + "\n", + " function on_click_closure(name) {\n", + " return function (_event) {\n", + " return fig.toolbar_button_onclick(name);\n", + " };\n", + " }\n", + "\n", + " function on_mouseover_closure(tooltip) {\n", + " return function (event) {\n", + " if (!event.currentTarget.disabled) {\n", + " return fig.toolbar_button_onmouseover(tooltip);\n", + " }\n", + " };\n", + " }\n", + "\n", + " fig.buttons = {};\n", + " var buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'btn-group';\n", + " var button;\n", + " for (var toolbar_ind in mpl.toolbar_items) {\n", + " var name = mpl.toolbar_items[toolbar_ind][0];\n", + " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", + " var image = mpl.toolbar_items[toolbar_ind][2];\n", + " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", + "\n", + " if (!name) {\n", + " /* Instead of a spacer, we start a new button group. */\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + " buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'btn-group';\n", + " continue;\n", + " }\n", + "\n", + " button = fig.buttons[name] = document.createElement('button');\n", + " button.classList = 'btn btn-default';\n", + " button.href = '#';\n", + " button.title = name;\n", + " button.innerHTML = '';\n", + " button.addEventListener('click', on_click_closure(method_name));\n", + " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", + " buttonGroup.appendChild(button);\n", + " }\n", + "\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + "\n", + " // Add the status bar.\n", + " var status_bar = document.createElement('span');\n", + " status_bar.classList = 'mpl-message pull-right';\n", + " toolbar.appendChild(status_bar);\n", + " this.message = status_bar;\n", + "\n", + " // Add the close button to the window.\n", + " var buttongrp = document.createElement('div');\n", + " buttongrp.classList = 'btn-group inline pull-right';\n", + " button = document.createElement('button');\n", + " button.classList = 'btn btn-mini btn-primary';\n", + " button.href = '#';\n", + " button.title = 'Stop Interaction';\n", + " button.innerHTML = '';\n", + " button.addEventListener('click', function (_evt) {\n", + " fig.handle_close(fig, {});\n", + " });\n", + " button.addEventListener(\n", + " 'mouseover',\n", + " on_mouseover_closure('Stop Interaction')\n", + " );\n", + " buttongrp.appendChild(button);\n", + " var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n", + " titlebar.insertBefore(buttongrp, titlebar.firstChild);\n", + "};\n", + "\n", + "mpl.figure.prototype._remove_fig_handler = function (event) {\n", + " var fig = event.data.fig;\n", + " if (event.target !== this) {\n", + " // Ignore bubbled events from children.\n", + " return;\n", + " }\n", + " fig.close_ws(fig, {});\n", + "};\n", + "\n", + "mpl.figure.prototype._root_extra_style = function (el) {\n", + " el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n", + "};\n", + "\n", + "mpl.figure.prototype._canvas_extra_style = function (el) {\n", + " // this is important to make the div 'focusable\n", + " el.setAttribute('tabindex', 0);\n", + " // reach out to IPython and tell the keyboard manager to turn it's self\n", + " // off when our div gets focus\n", + "\n", + " // location in version 3\n", + " if (IPython.notebook.keyboard_manager) {\n", + " IPython.notebook.keyboard_manager.register_events(el);\n", + " } else {\n", + " // location in version 2\n", + " IPython.keyboard_manager.register_events(el);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype._key_event_extra = function (event, _name) {\n", + " var manager = IPython.notebook.keyboard_manager;\n", + " if (!manager) {\n", + " manager = IPython.keyboard_manager;\n", + " }\n", + "\n", + " // Check for shift+enter\n", + " if (event.shiftKey && event.which === 13) {\n", + " this.canvas_div.blur();\n", + " // select the cell after this one\n", + " var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n", + " IPython.notebook.select(index + 1);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_save = function (fig, _msg) {\n", + " fig.ondownload(fig, null);\n", + "};\n", + "\n", + "mpl.find_output_cell = function (html_output) {\n", + " // Return the cell and output element which can be found *uniquely* in the notebook.\n", + " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n", + " // IPython event is triggered only after the cells have been serialised, which for\n", + " // our purposes (turning an active figure into a static one), is too late.\n", + " var cells = IPython.notebook.get_cells();\n", + " var ncells = cells.length;\n", + " for (var i = 0; i < ncells; i++) {\n", + " var cell = cells[i];\n", + " if (cell.cell_type === 'code') {\n", + " for (var j = 0; j < cell.output_area.outputs.length; j++) {\n", + " var data = cell.output_area.outputs[j];\n", + " if (data.data) {\n", + " // IPython >= 3 moved mimebundle to data attribute of output\n", + " data = data.data;\n", + " }\n", + " if (data['text/html'] === html_output) {\n", + " return [cell, data, j];\n", + " }\n", + " }\n", + " }\n", + " }\n", + "};\n", + "\n", + "// Register the function which deals with the matplotlib target/channel.\n", + "// The kernel may be null if the page has been refreshed.\n", + "if (IPython.notebook.kernel !== null) {\n", + " IPython.notebook.kernel.comm_manager.register_target(\n", + " 'matplotlib',\n", + " mpl.mpl_figure_comm\n", + " );\n", + "}\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "No handles with labels found to put in legend.\n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "groupped_table, labels = array.group_by(sub_groups)\n", + "visual.display_barycenter(groupped_table, proj=\"xz\", labels=labels)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Export cfg file" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "#ifndef TELESCOPE\n", + "\n", + "# define TELESCOPE 0\n", + "\n", + "#endif\n", + "\n", + "#if TELESCOPE == 0\n", + "\n", + " TELESCOPE_THETA=20.00 \n", + "\n", + " TELESCOPE_PHI=180.00 \n", + "\n", + "\n", + "\n", + "% Global and default configuration for things missing in telescope-specific config.\n", + "\n", + "# include \n", + "\n", + "\n", + "\n", + "#elif TELESCOPE == 1\n", + "\n", + "# include \n", + "\n", + " TELESCOPE_THETA=19.96\n", + "\n", + " TELESCOPE_PHI=179.43\n", + "\n", + "\n", + "\n", + "#elif TELESCOPE == 2\n", + "\n", + "# include \n", + "\n", + " TELESCOPE_THETA=19.79\n", + "\n", + " TELESCOPE_PHI=181.43\n", + "\n", + "\n", + "\n", + "#elif TELESCOPE == 3\n", + "\n", + "# include \n", + "\n", + " TELESCOPE_THETA=19.20\n", + "\n", + " TELESCOPE_PHI=181.21\n", + "\n", + "\n", + "\n", + "#elif TELESCOPE == 4\n", + "\n", + "# include \n", + "\n", + " TELESCOPE_THETA=19.43\n", + "\n", + " TELESCOPE_PHI=179.20\n", + "\n", + "\n", + "\n", + "#elif TELESCOPE == 5\n", + "\n", + "# include \n", + "\n", + " TELESCOPE_THETA=20.70\n", + "\n", + " TELESCOPE_PHI=180.39\n", + "\n", + "\n", + "\n", + "#elif TELESCOPE == 6\n", + "\n", + "# include \n", + "\n", + " TELESCOPE_THETA=20.60\n", + "\n", + " TELESCOPE_PHI=183.19\n", + "\n", + "\n", + "\n", + "#elif TELESCOPE == 7\n", + "\n", + "# include \n", + "\n", + " TELESCOPE_THETA=19.53\n", + "\n", + " TELESCOPE_PHI=183.74\n", + "\n", + "\n", + "\n", + "#elif TELESCOPE == 8\n", + "\n", + "# include \n", + "\n", + " TELESCOPE_THETA=18.70\n", + "\n", + " TELESCOPE_PHI=181.83\n", + "\n", + "\n", + "\n", + "#elif TELESCOPE == 9\n", + "\n", + "# include \n", + "\n", + " TELESCOPE_THETA=18.96\n", + "\n", + " TELESCOPE_PHI=177.14\n", + "\n", + "\n", + "\n", + "#elif TELESCOPE == 10\n", + "\n", + "# include \n", + "\n", + " TELESCOPE_THETA=20.01\n", + "\n", + " TELESCOPE_PHI=177.14\n", + "\n", + "\n", + "\n", + "#elif TELESCOPE == 11\n", + "\n", + "# include \n", + "\n", + " TELESCOPE_THETA=20.71\n", + "\n", + " TELESCOPE_PHI=177.60\n", + "\n", + "\n", + "\n", + "#elif TELESCOPE == 12\n", + "\n", + "# include \n", + "\n", + " TELESCOPE_THETA=20.27\n", + "\n", + " TELESCOPE_PHI=185.80\n", + "\n", + "\n", + "\n", + "#elif TELESCOPE == 13\n", + "\n", + "# include \n", + "\n", + " TELESCOPE_THETA=19.52\n", + "\n", + " TELESCOPE_PHI=174.26\n", + "\n", + "\n", + "\n", + "#elif TELESCOPE == 14\n", + "\n", + "# include \n", + "\n", + " TELESCOPE_THETA=20.64\n", + "\n", + " TELESCOPE_PHI=174.89\n", + "\n", + "\n", + "\n", + "#elif TELESCOPE == 15\n", + "\n", + "# include \n", + "\n", + " TELESCOPE_THETA=19.60\n", + "\n", + " TELESCOPE_PHI=180.31\n", + "\n", + "\n", + "\n", + "#elif TELESCOPE == 16\n", + "\n", + "# include \n", + "\n", + " TELESCOPE_THETA=21.40\n", + "\n", + " TELESCOPE_PHI=185.61\n", + "\n", + "\n", + "\n", + "#elif TELESCOPE == 17\n", + "\n", + "# include \n", + "\n", + " TELESCOPE_THETA=21.41\n", + "\n", + " TELESCOPE_PHI=182.30\n", + "\n", + "\n", + "\n", + "#elif TELESCOPE == 18\n", + "\n", + "# include \n", + "\n", + " TELESCOPE_THETA=21.51\n", + "\n", + " TELESCOPE_PHI=179.08\n", + "\n", + "\n", + "\n", + "#elif TELESCOPE == 19\n", + "\n", + "# include \n", + "\n", + " TELESCOPE_THETA=18.55\n", + "\n", + " TELESCOPE_PHI=174.64\n", + "\n", + "#else\n", + "\n", + " Error Invalid telescope for CTA-ULTRA6 La Palma configuration.\n", + "\n", + "#endif\n", + "\n", + "trigger_telescopes = 2 % In contrast to Prod-3 South we apply loose stereo trigger immediately\n", + "\n", + "array_trigger = array_trigger_ultra6_diver-test.dat\n", + "\n" + ] + } + ], + "source": [ + "array.export_cfg(verbose=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Display the telescope pointing" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Simple display" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "application/javascript": [ + "/* Put everything inside the global mpl namespace */\n", + "/* global mpl */\n", + "window.mpl = {};\n", + "\n", + "mpl.get_websocket_type = function () {\n", + " if (typeof WebSocket !== 'undefined') {\n", + " return WebSocket;\n", + " } else if (typeof MozWebSocket !== 'undefined') {\n", + " return MozWebSocket;\n", + " } else {\n", + " alert(\n", + " 'Your browser does not have WebSocket support. ' +\n", + " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n", + " 'Firefox 4 and 5 are also supported but you ' +\n", + " 'have to enable WebSockets in about:config.'\n", + " );\n", + " }\n", + "};\n", + "\n", + "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n", + " this.id = figure_id;\n", + "\n", + " this.ws = websocket;\n", + "\n", + " this.supports_binary = this.ws.binaryType !== undefined;\n", + "\n", + " if (!this.supports_binary) {\n", + " var warnings = document.getElementById('mpl-warnings');\n", + " if (warnings) {\n", + " warnings.style.display = 'block';\n", + " warnings.textContent =\n", + " 'This browser does not support binary websocket messages. ' +\n", + " 'Performance may be slow.';\n", + " }\n", + " }\n", + "\n", + " this.imageObj = new Image();\n", + "\n", + " this.context = undefined;\n", + " this.message = undefined;\n", + " this.canvas = undefined;\n", + " this.rubberband_canvas = undefined;\n", + " this.rubberband_context = undefined;\n", + " this.format_dropdown = undefined;\n", + "\n", + " this.image_mode = 'full';\n", + "\n", + " this.root = document.createElement('div');\n", + " this.root.setAttribute('style', 'display: inline-block');\n", + " this._root_extra_style(this.root);\n", + "\n", + " parent_element.appendChild(this.root);\n", + "\n", + " this._init_header(this);\n", + " this._init_canvas(this);\n", + " this._init_toolbar(this);\n", + "\n", + " var fig = this;\n", + "\n", + " this.waiting = false;\n", + "\n", + " this.ws.onopen = function () {\n", + " fig.send_message('supports_binary', { value: fig.supports_binary });\n", + " fig.send_message('send_image_mode', {});\n", + " if (fig.ratio !== 1) {\n", + " fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n", + " }\n", + " fig.send_message('refresh', {});\n", + " };\n", + "\n", + " this.imageObj.onload = function () {\n", + " if (fig.image_mode === 'full') {\n", + " // Full images could contain transparency (where diff images\n", + " // almost always do), so we need to clear the canvas so that\n", + " // there is no ghosting.\n", + " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n", + " }\n", + " fig.context.drawImage(fig.imageObj, 0, 0);\n", + " };\n", + "\n", + " this.imageObj.onunload = function () {\n", + " fig.ws.close();\n", + " };\n", + "\n", + " this.ws.onmessage = this._make_on_message_function(this);\n", + "\n", + " this.ondownload = ondownload;\n", + "};\n", + "\n", + "mpl.figure.prototype._init_header = function () {\n", + " var titlebar = document.createElement('div');\n", + " titlebar.classList =\n", + " 'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n", + " var titletext = document.createElement('div');\n", + " titletext.classList = 'ui-dialog-title';\n", + " titletext.setAttribute(\n", + " 'style',\n", + " 'width: 100%; text-align: center; padding: 3px;'\n", + " );\n", + " titlebar.appendChild(titletext);\n", + " this.root.appendChild(titlebar);\n", + " this.header = titletext;\n", + "};\n", + "\n", + "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n", + "\n", + "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n", + "\n", + "mpl.figure.prototype._init_canvas = function () {\n", + " var fig = this;\n", + "\n", + " var canvas_div = (this.canvas_div = document.createElement('div'));\n", + " canvas_div.setAttribute(\n", + " 'style',\n", + " 'border: 1px solid #ddd;' +\n", + " 'box-sizing: content-box;' +\n", + " 'clear: both;' +\n", + " 'min-height: 1px;' +\n", + " 'min-width: 1px;' +\n", + " 'outline: 0;' +\n", + " 'overflow: hidden;' +\n", + " 'position: relative;' +\n", + " 'resize: both;'\n", + " );\n", + "\n", + " function on_keyboard_event_closure(name) {\n", + " return function (event) {\n", + " return fig.key_event(event, name);\n", + " };\n", + " }\n", + "\n", + " canvas_div.addEventListener(\n", + " 'keydown',\n", + " on_keyboard_event_closure('key_press')\n", + " );\n", + " canvas_div.addEventListener(\n", + " 'keyup',\n", + " on_keyboard_event_closure('key_release')\n", + " );\n", + "\n", + " this._canvas_extra_style(canvas_div);\n", + " this.root.appendChild(canvas_div);\n", + "\n", + " var canvas = (this.canvas = document.createElement('canvas'));\n", + " canvas.classList.add('mpl-canvas');\n", + " canvas.setAttribute('style', 'box-sizing: content-box;');\n", + "\n", + " this.context = canvas.getContext('2d');\n", + "\n", + " var backingStore =\n", + " this.context.backingStorePixelRatio ||\n", + " this.context.webkitBackingStorePixelRatio ||\n", + " this.context.mozBackingStorePixelRatio ||\n", + " this.context.msBackingStorePixelRatio ||\n", + " this.context.oBackingStorePixelRatio ||\n", + " this.context.backingStorePixelRatio ||\n", + " 1;\n", + "\n", + " this.ratio = (window.devicePixelRatio || 1) / backingStore;\n", + " if (this.ratio !== 1) {\n", + " fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n", + " }\n", + "\n", + " var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n", + " 'canvas'\n", + " ));\n", + " rubberband_canvas.setAttribute(\n", + " 'style',\n", + " 'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n", + " );\n", + "\n", + " // Apply a ponyfill if ResizeObserver is not implemented by browser.\n", + " if (this.ResizeObserver === undefined) {\n", + " if (window.ResizeObserver !== undefined) {\n", + " this.ResizeObserver = window.ResizeObserver;\n", + " } else {\n", + " var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n", + " this.ResizeObserver = obs.ResizeObserver;\n", + " }\n", + " }\n", + "\n", + " this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n", + " var nentries = entries.length;\n", + " for (var i = 0; i < nentries; i++) {\n", + " var entry = entries[i];\n", + " var width, height;\n", + " if (entry.contentBoxSize) {\n", + " if (entry.contentBoxSize instanceof Array) {\n", + " // Chrome 84 implements new version of spec.\n", + " width = entry.contentBoxSize[0].inlineSize;\n", + " height = entry.contentBoxSize[0].blockSize;\n", + " } else {\n", + " // Firefox implements old version of spec.\n", + " width = entry.contentBoxSize.inlineSize;\n", + " height = entry.contentBoxSize.blockSize;\n", + " }\n", + " } else {\n", + " // Chrome <84 implements even older version of spec.\n", + " width = entry.contentRect.width;\n", + " height = entry.contentRect.height;\n", + " }\n", + "\n", + " // Keep the size of the canvas and rubber band canvas in sync with\n", + " // the canvas container.\n", + " if (entry.devicePixelContentBoxSize) {\n", + " // Chrome 84 implements new version of spec.\n", + " canvas.setAttribute(\n", + " 'width',\n", + " entry.devicePixelContentBoxSize[0].inlineSize\n", + " );\n", + " canvas.setAttribute(\n", + " 'height',\n", + " entry.devicePixelContentBoxSize[0].blockSize\n", + " );\n", + " } else {\n", + " canvas.setAttribute('width', width * fig.ratio);\n", + " canvas.setAttribute('height', height * fig.ratio);\n", + " }\n", + " canvas.setAttribute(\n", + " 'style',\n", + " 'width: ' + width + 'px; height: ' + height + 'px;'\n", + " );\n", + "\n", + " rubberband_canvas.setAttribute('width', width);\n", + " rubberband_canvas.setAttribute('height', height);\n", + "\n", + " // And update the size in Python. We ignore the initial 0/0 size\n", + " // that occurs as the element is placed into the DOM, which should\n", + " // otherwise not happen due to the minimum size styling.\n", + " if (width != 0 && height != 0) {\n", + " fig.request_resize(width, height);\n", + " }\n", + " }\n", + " });\n", + " this.resizeObserverInstance.observe(canvas_div);\n", + "\n", + " function on_mouse_event_closure(name) {\n", + " return function (event) {\n", + " return fig.mouse_event(event, name);\n", + " };\n", + " }\n", + "\n", + " rubberband_canvas.addEventListener(\n", + " 'mousedown',\n", + " on_mouse_event_closure('button_press')\n", + " );\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseup',\n", + " on_mouse_event_closure('button_release')\n", + " );\n", + " // Throttle sequential mouse events to 1 every 20ms.\n", + " rubberband_canvas.addEventListener(\n", + " 'mousemove',\n", + " on_mouse_event_closure('motion_notify')\n", + " );\n", + "\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseenter',\n", + " on_mouse_event_closure('figure_enter')\n", + " );\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseleave',\n", + " on_mouse_event_closure('figure_leave')\n", + " );\n", + "\n", + " canvas_div.addEventListener('wheel', function (event) {\n", + " if (event.deltaY < 0) {\n", + " event.step = 1;\n", + " } else {\n", + " event.step = -1;\n", + " }\n", + " on_mouse_event_closure('scroll')(event);\n", + " });\n", + "\n", + " canvas_div.appendChild(canvas);\n", + " canvas_div.appendChild(rubberband_canvas);\n", + "\n", + " this.rubberband_context = rubberband_canvas.getContext('2d');\n", + " this.rubberband_context.strokeStyle = '#000000';\n", + "\n", + " this._resize_canvas = function (width, height, forward) {\n", + " if (forward) {\n", + " canvas_div.style.width = width + 'px';\n", + " canvas_div.style.height = height + 'px';\n", + " }\n", + " };\n", + "\n", + " // Disable right mouse context menu.\n", + " this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n", + " event.preventDefault();\n", + " return false;\n", + " });\n", + "\n", + " function set_focus() {\n", + " canvas.focus();\n", + " canvas_div.focus();\n", + " }\n", + "\n", + " window.setTimeout(set_focus, 100);\n", + "};\n", + "\n", + "mpl.figure.prototype._init_toolbar = function () {\n", + " var fig = this;\n", + "\n", + " var toolbar = document.createElement('div');\n", + " toolbar.classList = 'mpl-toolbar';\n", + " this.root.appendChild(toolbar);\n", + "\n", + " function on_click_closure(name) {\n", + " return function (_event) {\n", + " return fig.toolbar_button_onclick(name);\n", + " };\n", + " }\n", + "\n", + " function on_mouseover_closure(tooltip) {\n", + " return function (event) {\n", + " if (!event.currentTarget.disabled) {\n", + " return fig.toolbar_button_onmouseover(tooltip);\n", + " }\n", + " };\n", + " }\n", + "\n", + " fig.buttons = {};\n", + " var buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'mpl-button-group';\n", + " for (var toolbar_ind in mpl.toolbar_items) {\n", + " var name = mpl.toolbar_items[toolbar_ind][0];\n", + " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", + " var image = mpl.toolbar_items[toolbar_ind][2];\n", + " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", + "\n", + " if (!name) {\n", + " /* Instead of a spacer, we start a new button group. */\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + " buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'mpl-button-group';\n", + " continue;\n", + " }\n", + "\n", + " var button = (fig.buttons[name] = document.createElement('button'));\n", + " button.classList = 'mpl-widget';\n", + " button.setAttribute('role', 'button');\n", + " button.setAttribute('aria-disabled', 'false');\n", + " button.addEventListener('click', on_click_closure(method_name));\n", + " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", + "\n", + " var icon_img = document.createElement('img');\n", + " icon_img.src = '_images/' + image + '.png';\n", + " icon_img.srcset = '_images/' + image + '_large.png 2x';\n", + " icon_img.alt = tooltip;\n", + " button.appendChild(icon_img);\n", + "\n", + " buttonGroup.appendChild(button);\n", + " }\n", + "\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + "\n", + " var fmt_picker = document.createElement('select');\n", + " fmt_picker.classList = 'mpl-widget';\n", + " toolbar.appendChild(fmt_picker);\n", + " this.format_dropdown = fmt_picker;\n", + "\n", + " for (var ind in mpl.extensions) {\n", + " var fmt = mpl.extensions[ind];\n", + " var option = document.createElement('option');\n", + " option.selected = fmt === mpl.default_extension;\n", + " option.innerHTML = fmt;\n", + " fmt_picker.appendChild(option);\n", + " }\n", + "\n", + " var status_bar = document.createElement('span');\n", + " status_bar.classList = 'mpl-message';\n", + " toolbar.appendChild(status_bar);\n", + " this.message = status_bar;\n", + "};\n", + "\n", + "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n", + " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n", + " // which will in turn request a refresh of the image.\n", + " this.send_message('resize', { width: x_pixels, height: y_pixels });\n", + "};\n", + "\n", + "mpl.figure.prototype.send_message = function (type, properties) {\n", + " properties['type'] = type;\n", + " properties['figure_id'] = this.id;\n", + " this.ws.send(JSON.stringify(properties));\n", + "};\n", + "\n", + "mpl.figure.prototype.send_draw_message = function () {\n", + " if (!this.waiting) {\n", + " this.waiting = true;\n", + " this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_save = function (fig, _msg) {\n", + " var format_dropdown = fig.format_dropdown;\n", + " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n", + " fig.ondownload(fig, format);\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_resize = function (fig, msg) {\n", + " var size = msg['size'];\n", + " if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n", + " fig._resize_canvas(size[0], size[1], msg['forward']);\n", + " fig.send_message('refresh', {});\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n", + " var x0 = msg['x0'] / fig.ratio;\n", + " var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n", + " var x1 = msg['x1'] / fig.ratio;\n", + " var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n", + " x0 = Math.floor(x0) + 0.5;\n", + " y0 = Math.floor(y0) + 0.5;\n", + " x1 = Math.floor(x1) + 0.5;\n", + " y1 = Math.floor(y1) + 0.5;\n", + " var min_x = Math.min(x0, x1);\n", + " var min_y = Math.min(y0, y1);\n", + " var width = Math.abs(x1 - x0);\n", + " var height = Math.abs(y1 - y0);\n", + "\n", + " fig.rubberband_context.clearRect(\n", + " 0,\n", + " 0,\n", + " fig.canvas.width / fig.ratio,\n", + " fig.canvas.height / fig.ratio\n", + " );\n", + "\n", + " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n", + " // Updates the figure title.\n", + " fig.header.textContent = msg['label'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n", + " var cursor = msg['cursor'];\n", + " switch (cursor) {\n", + " case 0:\n", + " cursor = 'pointer';\n", + " break;\n", + " case 1:\n", + " cursor = 'default';\n", + " break;\n", + " case 2:\n", + " cursor = 'crosshair';\n", + " break;\n", + " case 3:\n", + " cursor = 'move';\n", + " break;\n", + " }\n", + " fig.rubberband_canvas.style.cursor = cursor;\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_message = function (fig, msg) {\n", + " fig.message.textContent = msg['message'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n", + " // Request the server to send over a new figure.\n", + " fig.send_draw_message();\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n", + " fig.image_mode = msg['mode'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n", + " for (var key in msg) {\n", + " if (!(key in fig.buttons)) {\n", + " continue;\n", + " }\n", + " fig.buttons[key].disabled = !msg[key];\n", + " fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n", + " if (msg['mode'] === 'PAN') {\n", + " fig.buttons['Pan'].classList.add('active');\n", + " fig.buttons['Zoom'].classList.remove('active');\n", + " } else if (msg['mode'] === 'ZOOM') {\n", + " fig.buttons['Pan'].classList.remove('active');\n", + " fig.buttons['Zoom'].classList.add('active');\n", + " } else {\n", + " fig.buttons['Pan'].classList.remove('active');\n", + " fig.buttons['Zoom'].classList.remove('active');\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.updated_canvas_event = function () {\n", + " // Called whenever the canvas gets updated.\n", + " this.send_message('ack', {});\n", + "};\n", + "\n", + "// A function to construct a web socket function for onmessage handling.\n", + "// Called in the figure constructor.\n", + "mpl.figure.prototype._make_on_message_function = function (fig) {\n", + " return function socket_on_message(evt) {\n", + " if (evt.data instanceof Blob) {\n", + " /* 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", + "\n", + " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n", + " evt.data\n", + " );\n", + " fig.updated_canvas_event();\n", + " fig.waiting = false;\n", + " return;\n", + " } else if (\n", + " typeof evt.data === 'string' &&\n", + " evt.data.slice(0, 21) === 'data:image/png;base64'\n", + " ) {\n", + " fig.imageObj.src = evt.data;\n", + " fig.updated_canvas_event();\n", + " fig.waiting = false;\n", + " return;\n", + " }\n", + "\n", + " var msg = JSON.parse(evt.data);\n", + " var msg_type = msg['type'];\n", + "\n", + " // Call the \"handle_{type}\" callback, which takes\n", + " // the figure and JSON message as its only arguments.\n", + " try {\n", + " var callback = fig['handle_' + msg_type];\n", + " } catch (e) {\n", + " console.log(\n", + " \"No handler for the '\" + msg_type + \"' message type: \",\n", + " msg\n", + " );\n", + " return;\n", + " }\n", + "\n", + " if (callback) {\n", + " try {\n", + " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n", + " callback(fig, msg);\n", + " } catch (e) {\n", + " console.log(\n", + " \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n", + " e,\n", + " e.stack,\n", + " msg\n", + " );\n", + " }\n", + " }\n", + " };\n", + "};\n", + "\n", + "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n", + "mpl.findpos = function (e) {\n", + " //this section is from http://www.quirksmode.org/js/events_properties.html\n", + " var targ;\n", + " if (!e) {\n", + " e = window.event;\n", + " }\n", + " if (e.target) {\n", + " targ = e.target;\n", + " } else if (e.srcElement) {\n", + " targ = e.srcElement;\n", + " }\n", + " if (targ.nodeType === 3) {\n", + " // defeat Safari bug\n", + " targ = targ.parentNode;\n", + " }\n", + "\n", + " // pageX,Y are the mouse positions relative to the document\n", + " var boundingRect = targ.getBoundingClientRect();\n", + " var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n", + " var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n", + "\n", + " return { x: x, y: y };\n", + "};\n", + "\n", + "/*\n", + " * return a copy of an object with only non-object keys\n", + " * we need this to avoid circular references\n", + " * http://stackoverflow.com/a/24161582/3208463\n", + " */\n", + "function simpleKeys(original) {\n", + " return Object.keys(original).reduce(function (obj, key) {\n", + " if (typeof original[key] !== 'object') {\n", + " obj[key] = original[key];\n", + " }\n", + " return obj;\n", + " }, {});\n", + "}\n", + "\n", + "mpl.figure.prototype.mouse_event = function (event, name) {\n", + " var canvas_pos = mpl.findpos(event);\n", + "\n", + " if (name === 'button_press') {\n", + " this.canvas.focus();\n", + " this.canvas_div.focus();\n", + " }\n", + "\n", + " var x = canvas_pos.x * this.ratio;\n", + " var y = canvas_pos.y * this.ratio;\n", + "\n", + " this.send_message(name, {\n", + " x: x,\n", + " y: y,\n", + " button: event.button,\n", + " step: event.step,\n", + " guiEvent: simpleKeys(event),\n", + " });\n", + "\n", + " /* This prevents the web browser from automatically changing to\n", + " * the text insertion cursor when the button is pressed. We want\n", + " * to control all of the cursor setting manually through the\n", + " * 'cursor' event from matplotlib */\n", + " event.preventDefault();\n", + " return false;\n", + "};\n", + "\n", + "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n", + " // Handle any extra behaviour associated with a key event\n", + "};\n", + "\n", + "mpl.figure.prototype.key_event = function (event, name) {\n", + " // Prevent repeat events\n", + " if (name === 'key_press') {\n", + " if (event.which === this._key) {\n", + " return;\n", + " } else {\n", + " this._key = event.which;\n", + " }\n", + " }\n", + " if (name === 'key_release') {\n", + " this._key = null;\n", + " }\n", + "\n", + " var value = '';\n", + " if (event.ctrlKey && event.which !== 17) {\n", + " value += 'ctrl+';\n", + " }\n", + " if (event.altKey && event.which !== 18) {\n", + " value += 'alt+';\n", + " }\n", + " if (event.shiftKey && event.which !== 16) {\n", + " value += 'shift+';\n", + " }\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, guiEvent: simpleKeys(event) });\n", + " return false;\n", + "};\n", + "\n", + "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n", + " if (name === 'download') {\n", + " this.handle_save(this, null);\n", + " } else {\n", + " this.send_message('toolbar_button', { name: name });\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n", + " this.message.textContent = tooltip;\n", + "};\n", + "\n", + "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n", + "// prettier-ignore\n", + "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n", + "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n", + "\n", + "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n", + "\n", + "mpl.default_extension = \"png\";/* global mpl */\n", + "\n", + "var comm_websocket_adapter = function (comm) {\n", + " // Create a \"websocket\"-like object which calls the given IPython comm\n", + " // object with the appropriate methods. Currently this is a non binary\n", + " // socket, so there is still some room for performance tuning.\n", + " var ws = {};\n", + "\n", + " ws.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 overridden (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 = document.getElementById(id);\n", + " var ws_proxy = comm_websocket_adapter(comm);\n", + "\n", + " function ondownload(figure, _format) {\n", + " window.open(figure.canvas.toDataURL());\n", + " }\n", + "\n", + " var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n", + "\n", + " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n", + " // web socket which is closed, not our websocket->open comm proxy.\n", + " ws_proxy.onopen();\n", + "\n", + " fig.parent_element = element;\n", + " fig.cell_info = mpl.find_output_cell(\"
\");\n", + " if (!fig.cell_info) {\n", + " console.error('Failed to find cell for figure', id, fig);\n", + " return;\n", + " }\n", + " fig.cell_info[0].output_area.element.on(\n", + " 'cleared',\n", + " { fig: fig },\n", + " fig._remove_fig_handler\n", + " );\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_close = function (fig, msg) {\n", + " var width = fig.canvas.width / fig.ratio;\n", + " fig.cell_info[0].output_area.element.off(\n", + " 'cleared',\n", + " fig._remove_fig_handler\n", + " );\n", + " fig.resizeObserverInstance.unobserve(fig.canvas_div);\n", + "\n", + " // Update the output cell to use the data from the current canvas.\n", + " fig.push_to_output();\n", + " var dataURL = fig.canvas.toDataURL();\n", + " // Re-enable the keyboard manager in IPython - without this line, in FF,\n", + " // the notebook keyboard shortcuts fail.\n", + " IPython.keyboard_manager.enable();\n", + " fig.parent_element.innerHTML =\n", + " '';\n", + " fig.close_ws(fig, msg);\n", + "};\n", + "\n", + "mpl.figure.prototype.close_ws = function (fig, msg) {\n", + " fig.send_message('closing', msg);\n", + " // fig.ws.close()\n", + "};\n", + "\n", + "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n", + " // Turn the data on the canvas into data in the output cell.\n", + " var width = this.canvas.width / this.ratio;\n", + " var dataURL = this.canvas.toDataURL();\n", + " this.cell_info[1]['text/html'] =\n", + " '';\n", + "};\n", + "\n", + "mpl.figure.prototype.updated_canvas_event = function () {\n", + " // Tell IPython that the notebook contents must change.\n", + " IPython.notebook.set_dirty(true);\n", + " this.send_message('ack', {});\n", + " var fig = this;\n", + " // Wait a second, then push the new image to the DOM so\n", + " // that it is saved nicely (might be nice to debounce this).\n", + " setTimeout(function () {\n", + " fig.push_to_output();\n", + " }, 1000);\n", + "};\n", + "\n", + "mpl.figure.prototype._init_toolbar = function () {\n", + " var fig = this;\n", + "\n", + " var toolbar = document.createElement('div');\n", + " toolbar.classList = 'btn-toolbar';\n", + " this.root.appendChild(toolbar);\n", + "\n", + " function on_click_closure(name) {\n", + " return function (_event) {\n", + " return fig.toolbar_button_onclick(name);\n", + " };\n", + " }\n", + "\n", + " function on_mouseover_closure(tooltip) {\n", + " return function (event) {\n", + " if (!event.currentTarget.disabled) {\n", + " return fig.toolbar_button_onmouseover(tooltip);\n", + " }\n", + " };\n", + " }\n", + "\n", + " fig.buttons = {};\n", + " var buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'btn-group';\n", + " var button;\n", + " for (var toolbar_ind in mpl.toolbar_items) {\n", + " var name = mpl.toolbar_items[toolbar_ind][0];\n", + " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", + " var image = mpl.toolbar_items[toolbar_ind][2];\n", + " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", + "\n", + " if (!name) {\n", + " /* Instead of a spacer, we start a new button group. */\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + " buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'btn-group';\n", + " continue;\n", + " }\n", + "\n", + " button = fig.buttons[name] = document.createElement('button');\n", + " button.classList = 'btn btn-default';\n", + " button.href = '#';\n", + " button.title = name;\n", + " button.innerHTML = '';\n", + " button.addEventListener('click', on_click_closure(method_name));\n", + " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", + " buttonGroup.appendChild(button);\n", + " }\n", + "\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + "\n", + " // Add the status bar.\n", + " var status_bar = document.createElement('span');\n", + " status_bar.classList = 'mpl-message pull-right';\n", + " toolbar.appendChild(status_bar);\n", + " this.message = status_bar;\n", + "\n", + " // Add the close button to the window.\n", + " var buttongrp = document.createElement('div');\n", + " buttongrp.classList = 'btn-group inline pull-right';\n", + " button = document.createElement('button');\n", + " button.classList = 'btn btn-mini btn-primary';\n", + " button.href = '#';\n", + " button.title = 'Stop Interaction';\n", + " button.innerHTML = '';\n", + " button.addEventListener('click', function (_evt) {\n", + " fig.handle_close(fig, {});\n", + " });\n", + " button.addEventListener(\n", + " 'mouseover',\n", + " on_mouseover_closure('Stop Interaction')\n", + " );\n", + " buttongrp.appendChild(button);\n", + " var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n", + " titlebar.insertBefore(buttongrp, titlebar.firstChild);\n", + "};\n", + "\n", + "mpl.figure.prototype._remove_fig_handler = function (event) {\n", + " var fig = event.data.fig;\n", + " if (event.target !== this) {\n", + " // Ignore bubbled events from children.\n", + " return;\n", + " }\n", + " fig.close_ws(fig, {});\n", + "};\n", + "\n", + "mpl.figure.prototype._root_extra_style = function (el) {\n", + " el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n", + "};\n", + "\n", + "mpl.figure.prototype._canvas_extra_style = function (el) {\n", + " // this is important to make the div 'focusable\n", + " el.setAttribute('tabindex', 0);\n", + " // reach out to IPython and tell the keyboard manager to turn it's self\n", + " // off when our div gets focus\n", + "\n", + " // location in version 3\n", + " if (IPython.notebook.keyboard_manager) {\n", + " IPython.notebook.keyboard_manager.register_events(el);\n", + " } else {\n", + " // location in version 2\n", + " IPython.keyboard_manager.register_events(el);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype._key_event_extra = function (event, _name) {\n", + " var manager = IPython.notebook.keyboard_manager;\n", + " if (!manager) {\n", + " manager = IPython.keyboard_manager;\n", + " }\n", + "\n", + " // Check for shift+enter\n", + " if (event.shiftKey && event.which === 13) {\n", + " this.canvas_div.blur();\n", + " // select the cell after this one\n", + " var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n", + " IPython.notebook.select(index + 1);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_save = function (fig, _msg) {\n", + " fig.ondownload(fig, null);\n", + "};\n", + "\n", + "mpl.find_output_cell = function (html_output) {\n", + " // Return the cell and output element which can be found *uniquely* in the notebook.\n", + " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n", + " // IPython event is triggered only after the cells have been serialised, which for\n", + " // our purposes (turning an active figure into a static one), is too late.\n", + " var cells = IPython.notebook.get_cells();\n", + " var ncells = cells.length;\n", + " for (var i = 0; i < ncells; i++) {\n", + " var cell = cells[i];\n", + " if (cell.cell_type === 'code') {\n", + " for (var j = 0; j < cell.output_area.outputs.length; j++) {\n", + " var data = cell.output_area.outputs[j];\n", + " if (data.data) {\n", + " // IPython >= 3 moved mimebundle to data attribute of output\n", + " data = data.data;\n", + " }\n", + " if (data['text/html'] === html_output) {\n", + " return [cell, data, j];\n", + " }\n", + " }\n", + " }\n", + " }\n", + "};\n", + "\n", + "// Register the function which deals with the matplotlib target/channel.\n", + "// The kernel may be null if the page has been refreshed.\n", + "if (IPython.notebook.kernel !== null) {\n", + " IPython.notebook.kernel.comm_manager.register_target(\n", + " 'matplotlib',\n", + " mpl.mpl_figure_comm\n", + " );\n", + "}\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# 1D\n", + "array.display(\"y\")" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "application/javascript": [ + "/* Put everything inside the global mpl namespace */\n", + "/* global mpl */\n", + "window.mpl = {};\n", + "\n", + "mpl.get_websocket_type = function () {\n", + " if (typeof WebSocket !== 'undefined') {\n", + " return WebSocket;\n", + " } else if (typeof MozWebSocket !== 'undefined') {\n", + " return MozWebSocket;\n", + " } else {\n", + " alert(\n", + " 'Your browser does not have WebSocket support. ' +\n", + " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n", + " 'Firefox 4 and 5 are also supported but you ' +\n", + " 'have to enable WebSockets in about:config.'\n", + " );\n", + " }\n", + "};\n", + "\n", + "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n", + " this.id = figure_id;\n", + "\n", + " this.ws = websocket;\n", + "\n", + " this.supports_binary = this.ws.binaryType !== undefined;\n", + "\n", + " if (!this.supports_binary) {\n", + " var warnings = document.getElementById('mpl-warnings');\n", + " if (warnings) {\n", + " warnings.style.display = 'block';\n", + " warnings.textContent =\n", + " 'This browser does not support binary websocket messages. ' +\n", + " 'Performance may be slow.';\n", + " }\n", + " }\n", + "\n", + " this.imageObj = new Image();\n", + "\n", + " this.context = undefined;\n", + " this.message = undefined;\n", + " this.canvas = undefined;\n", + " this.rubberband_canvas = undefined;\n", + " this.rubberband_context = undefined;\n", + " this.format_dropdown = undefined;\n", + "\n", + " this.image_mode = 'full';\n", + "\n", + " this.root = document.createElement('div');\n", + " this.root.setAttribute('style', 'display: inline-block');\n", + " this._root_extra_style(this.root);\n", + "\n", + " parent_element.appendChild(this.root);\n", + "\n", + " this._init_header(this);\n", + " this._init_canvas(this);\n", + " this._init_toolbar(this);\n", + "\n", + " var fig = this;\n", + "\n", + " this.waiting = false;\n", + "\n", + " this.ws.onopen = function () {\n", + " fig.send_message('supports_binary', { value: fig.supports_binary });\n", + " fig.send_message('send_image_mode', {});\n", + " if (fig.ratio !== 1) {\n", + " fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n", + " }\n", + " fig.send_message('refresh', {});\n", + " };\n", + "\n", + " this.imageObj.onload = function () {\n", + " if (fig.image_mode === 'full') {\n", + " // Full images could contain transparency (where diff images\n", + " // almost always do), so we need to clear the canvas so that\n", + " // there is no ghosting.\n", + " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n", + " }\n", + " fig.context.drawImage(fig.imageObj, 0, 0);\n", + " };\n", + "\n", + " this.imageObj.onunload = function () {\n", + " fig.ws.close();\n", + " };\n", + "\n", + " this.ws.onmessage = this._make_on_message_function(this);\n", + "\n", + " this.ondownload = ondownload;\n", + "};\n", + "\n", + "mpl.figure.prototype._init_header = function () {\n", + " var titlebar = document.createElement('div');\n", + " titlebar.classList =\n", + " 'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n", + " var titletext = document.createElement('div');\n", + " titletext.classList = 'ui-dialog-title';\n", + " titletext.setAttribute(\n", + " 'style',\n", + " 'width: 100%; text-align: center; padding: 3px;'\n", + " );\n", + " titlebar.appendChild(titletext);\n", + " this.root.appendChild(titlebar);\n", + " this.header = titletext;\n", + "};\n", + "\n", + "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n", + "\n", + "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n", + "\n", + "mpl.figure.prototype._init_canvas = function () {\n", + " var fig = this;\n", + "\n", + " var canvas_div = (this.canvas_div = document.createElement('div'));\n", + " canvas_div.setAttribute(\n", + " 'style',\n", + " 'border: 1px solid #ddd;' +\n", + " 'box-sizing: content-box;' +\n", + " 'clear: both;' +\n", + " 'min-height: 1px;' +\n", + " 'min-width: 1px;' +\n", + " 'outline: 0;' +\n", + " 'overflow: hidden;' +\n", + " 'position: relative;' +\n", + " 'resize: both;'\n", + " );\n", + "\n", + " function on_keyboard_event_closure(name) {\n", + " return function (event) {\n", + " return fig.key_event(event, name);\n", + " };\n", + " }\n", + "\n", + " canvas_div.addEventListener(\n", + " 'keydown',\n", + " on_keyboard_event_closure('key_press')\n", + " );\n", + " canvas_div.addEventListener(\n", + " 'keyup',\n", + " on_keyboard_event_closure('key_release')\n", + " );\n", + "\n", + " this._canvas_extra_style(canvas_div);\n", + " this.root.appendChild(canvas_div);\n", + "\n", + " var canvas = (this.canvas = document.createElement('canvas'));\n", + " canvas.classList.add('mpl-canvas');\n", + " canvas.setAttribute('style', 'box-sizing: content-box;');\n", + "\n", + " this.context = canvas.getContext('2d');\n", + "\n", + " var backingStore =\n", + " this.context.backingStorePixelRatio ||\n", + " this.context.webkitBackingStorePixelRatio ||\n", + " this.context.mozBackingStorePixelRatio ||\n", + " this.context.msBackingStorePixelRatio ||\n", + " this.context.oBackingStorePixelRatio ||\n", + " this.context.backingStorePixelRatio ||\n", + " 1;\n", + "\n", + " this.ratio = (window.devicePixelRatio || 1) / backingStore;\n", + " if (this.ratio !== 1) {\n", + " fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n", + " }\n", + "\n", + " var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n", + " 'canvas'\n", + " ));\n", + " rubberband_canvas.setAttribute(\n", + " 'style',\n", + " 'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n", + " );\n", + "\n", + " // Apply a ponyfill if ResizeObserver is not implemented by browser.\n", + " if (this.ResizeObserver === undefined) {\n", + " if (window.ResizeObserver !== undefined) {\n", + " this.ResizeObserver = window.ResizeObserver;\n", + " } else {\n", + " var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n", + " this.ResizeObserver = obs.ResizeObserver;\n", + " }\n", + " }\n", + "\n", + " this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n", + " var nentries = entries.length;\n", + " for (var i = 0; i < nentries; i++) {\n", + " var entry = entries[i];\n", + " var width, height;\n", + " if (entry.contentBoxSize) {\n", + " if (entry.contentBoxSize instanceof Array) {\n", + " // Chrome 84 implements new version of spec.\n", + " width = entry.contentBoxSize[0].inlineSize;\n", + " height = entry.contentBoxSize[0].blockSize;\n", + " } else {\n", + " // Firefox implements old version of spec.\n", + " width = entry.contentBoxSize.inlineSize;\n", + " height = entry.contentBoxSize.blockSize;\n", + " }\n", + " } else {\n", + " // Chrome <84 implements even older version of spec.\n", + " width = entry.contentRect.width;\n", + " height = entry.contentRect.height;\n", + " }\n", + "\n", + " // Keep the size of the canvas and rubber band canvas in sync with\n", + " // the canvas container.\n", + " if (entry.devicePixelContentBoxSize) {\n", + " // Chrome 84 implements new version of spec.\n", + " canvas.setAttribute(\n", + " 'width',\n", + " entry.devicePixelContentBoxSize[0].inlineSize\n", + " );\n", + " canvas.setAttribute(\n", + " 'height',\n", + " entry.devicePixelContentBoxSize[0].blockSize\n", + " );\n", + " } else {\n", + " canvas.setAttribute('width', width * fig.ratio);\n", + " canvas.setAttribute('height', height * fig.ratio);\n", + " }\n", + " canvas.setAttribute(\n", + " 'style',\n", + " 'width: ' + width + 'px; height: ' + height + 'px;'\n", + " );\n", + "\n", + " rubberband_canvas.setAttribute('width', width);\n", + " rubberband_canvas.setAttribute('height', height);\n", + "\n", + " // And update the size in Python. We ignore the initial 0/0 size\n", + " // that occurs as the element is placed into the DOM, which should\n", + " // otherwise not happen due to the minimum size styling.\n", + " if (width != 0 && height != 0) {\n", + " fig.request_resize(width, height);\n", + " }\n", + " }\n", + " });\n", + " this.resizeObserverInstance.observe(canvas_div);\n", + "\n", + " function on_mouse_event_closure(name) {\n", + " return function (event) {\n", + " return fig.mouse_event(event, name);\n", + " };\n", + " }\n", + "\n", + " rubberband_canvas.addEventListener(\n", + " 'mousedown',\n", + " on_mouse_event_closure('button_press')\n", + " );\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseup',\n", + " on_mouse_event_closure('button_release')\n", + " );\n", + " // Throttle sequential mouse events to 1 every 20ms.\n", + " rubberband_canvas.addEventListener(\n", + " 'mousemove',\n", + " on_mouse_event_closure('motion_notify')\n", + " );\n", + "\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseenter',\n", + " on_mouse_event_closure('figure_enter')\n", + " );\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseleave',\n", + " on_mouse_event_closure('figure_leave')\n", + " );\n", + "\n", + " canvas_div.addEventListener('wheel', function (event) {\n", + " if (event.deltaY < 0) {\n", + " event.step = 1;\n", + " } else {\n", + " event.step = -1;\n", + " }\n", + " on_mouse_event_closure('scroll')(event);\n", + " });\n", + "\n", + " canvas_div.appendChild(canvas);\n", + " canvas_div.appendChild(rubberband_canvas);\n", + "\n", + " this.rubberband_context = rubberband_canvas.getContext('2d');\n", + " this.rubberband_context.strokeStyle = '#000000';\n", + "\n", + " this._resize_canvas = function (width, height, forward) {\n", + " if (forward) {\n", + " canvas_div.style.width = width + 'px';\n", + " canvas_div.style.height = height + 'px';\n", + " }\n", + " };\n", + "\n", + " // Disable right mouse context menu.\n", + " this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n", + " event.preventDefault();\n", + " return false;\n", + " });\n", + "\n", + " function set_focus() {\n", + " canvas.focus();\n", + " canvas_div.focus();\n", + " }\n", + "\n", + " window.setTimeout(set_focus, 100);\n", + "};\n", + "\n", + "mpl.figure.prototype._init_toolbar = function () {\n", + " var fig = this;\n", + "\n", + " var toolbar = document.createElement('div');\n", + " toolbar.classList = 'mpl-toolbar';\n", + " this.root.appendChild(toolbar);\n", + "\n", + " function on_click_closure(name) {\n", + " return function (_event) {\n", + " return fig.toolbar_button_onclick(name);\n", + " };\n", + " }\n", + "\n", + " function on_mouseover_closure(tooltip) {\n", + " return function (event) {\n", + " if (!event.currentTarget.disabled) {\n", + " return fig.toolbar_button_onmouseover(tooltip);\n", + " }\n", + " };\n", + " }\n", + "\n", + " fig.buttons = {};\n", + " var buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'mpl-button-group';\n", + " for (var toolbar_ind in mpl.toolbar_items) {\n", + " var name = mpl.toolbar_items[toolbar_ind][0];\n", + " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", + " var image = mpl.toolbar_items[toolbar_ind][2];\n", + " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", + "\n", + " if (!name) {\n", + " /* Instead of a spacer, we start a new button group. */\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + " buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'mpl-button-group';\n", + " continue;\n", + " }\n", + "\n", + " var button = (fig.buttons[name] = document.createElement('button'));\n", + " button.classList = 'mpl-widget';\n", + " button.setAttribute('role', 'button');\n", + " button.setAttribute('aria-disabled', 'false');\n", + " button.addEventListener('click', on_click_closure(method_name));\n", + " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", + "\n", + " var icon_img = document.createElement('img');\n", + " icon_img.src = '_images/' + image + '.png';\n", + " icon_img.srcset = '_images/' + image + '_large.png 2x';\n", + " icon_img.alt = tooltip;\n", + " button.appendChild(icon_img);\n", + "\n", + " buttonGroup.appendChild(button);\n", + " }\n", + "\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + "\n", + " var fmt_picker = document.createElement('select');\n", + " fmt_picker.classList = 'mpl-widget';\n", + " toolbar.appendChild(fmt_picker);\n", + " this.format_dropdown = fmt_picker;\n", + "\n", + " for (var ind in mpl.extensions) {\n", + " var fmt = mpl.extensions[ind];\n", + " var option = document.createElement('option');\n", + " option.selected = fmt === mpl.default_extension;\n", + " option.innerHTML = fmt;\n", + " fmt_picker.appendChild(option);\n", + " }\n", + "\n", + " var status_bar = document.createElement('span');\n", + " status_bar.classList = 'mpl-message';\n", + " toolbar.appendChild(status_bar);\n", + " this.message = status_bar;\n", + "};\n", + "\n", + "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n", + " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n", + " // which will in turn request a refresh of the image.\n", + " this.send_message('resize', { width: x_pixels, height: y_pixels });\n", + "};\n", + "\n", + "mpl.figure.prototype.send_message = function (type, properties) {\n", + " properties['type'] = type;\n", + " properties['figure_id'] = this.id;\n", + " this.ws.send(JSON.stringify(properties));\n", + "};\n", + "\n", + "mpl.figure.prototype.send_draw_message = function () {\n", + " if (!this.waiting) {\n", + " this.waiting = true;\n", + " this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_save = function (fig, _msg) {\n", + " var format_dropdown = fig.format_dropdown;\n", + " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n", + " fig.ondownload(fig, format);\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_resize = function (fig, msg) {\n", + " var size = msg['size'];\n", + " if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n", + " fig._resize_canvas(size[0], size[1], msg['forward']);\n", + " fig.send_message('refresh', {});\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n", + " var x0 = msg['x0'] / fig.ratio;\n", + " var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n", + " var x1 = msg['x1'] / fig.ratio;\n", + " var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n", + " x0 = Math.floor(x0) + 0.5;\n", + " y0 = Math.floor(y0) + 0.5;\n", + " x1 = Math.floor(x1) + 0.5;\n", + " y1 = Math.floor(y1) + 0.5;\n", + " var min_x = Math.min(x0, x1);\n", + " var min_y = Math.min(y0, y1);\n", + " var width = Math.abs(x1 - x0);\n", + " var height = Math.abs(y1 - y0);\n", + "\n", + " fig.rubberband_context.clearRect(\n", + " 0,\n", + " 0,\n", + " fig.canvas.width / fig.ratio,\n", + " fig.canvas.height / fig.ratio\n", + " );\n", + "\n", + " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n", + " // Updates the figure title.\n", + " fig.header.textContent = msg['label'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n", + " var cursor = msg['cursor'];\n", + " switch (cursor) {\n", + " case 0:\n", + " cursor = 'pointer';\n", + " break;\n", + " case 1:\n", + " cursor = 'default';\n", + " break;\n", + " case 2:\n", + " cursor = 'crosshair';\n", + " break;\n", + " case 3:\n", + " cursor = 'move';\n", + " break;\n", + " }\n", + " fig.rubberband_canvas.style.cursor = cursor;\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_message = function (fig, msg) {\n", + " fig.message.textContent = msg['message'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n", + " // Request the server to send over a new figure.\n", + " fig.send_draw_message();\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n", + " fig.image_mode = msg['mode'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n", + " for (var key in msg) {\n", + " if (!(key in fig.buttons)) {\n", + " continue;\n", + " }\n", + " fig.buttons[key].disabled = !msg[key];\n", + " fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n", + " if (msg['mode'] === 'PAN') {\n", + " fig.buttons['Pan'].classList.add('active');\n", + " fig.buttons['Zoom'].classList.remove('active');\n", + " } else if (msg['mode'] === 'ZOOM') {\n", + " fig.buttons['Pan'].classList.remove('active');\n", + " fig.buttons['Zoom'].classList.add('active');\n", + " } else {\n", + " fig.buttons['Pan'].classList.remove('active');\n", + " fig.buttons['Zoom'].classList.remove('active');\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.updated_canvas_event = function () {\n", + " // Called whenever the canvas gets updated.\n", + " this.send_message('ack', {});\n", + "};\n", + "\n", + "// A function to construct a web socket function for onmessage handling.\n", + "// Called in the figure constructor.\n", + "mpl.figure.prototype._make_on_message_function = function (fig) {\n", + " return function socket_on_message(evt) {\n", + " if (evt.data instanceof Blob) {\n", + " /* 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", + "\n", + " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n", + " evt.data\n", + " );\n", + " fig.updated_canvas_event();\n", + " fig.waiting = false;\n", + " return;\n", + " } else if (\n", + " typeof evt.data === 'string' &&\n", + " evt.data.slice(0, 21) === 'data:image/png;base64'\n", + " ) {\n", + " fig.imageObj.src = evt.data;\n", + " fig.updated_canvas_event();\n", + " fig.waiting = false;\n", + " return;\n", + " }\n", + "\n", + " var msg = JSON.parse(evt.data);\n", + " var msg_type = msg['type'];\n", + "\n", + " // Call the \"handle_{type}\" callback, which takes\n", + " // the figure and JSON message as its only arguments.\n", + " try {\n", + " var callback = fig['handle_' + msg_type];\n", + " } catch (e) {\n", + " console.log(\n", + " \"No handler for the '\" + msg_type + \"' message type: \",\n", + " msg\n", + " );\n", + " return;\n", + " }\n", + "\n", + " if (callback) {\n", + " try {\n", + " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n", + " callback(fig, msg);\n", + " } catch (e) {\n", + " console.log(\n", + " \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n", + " e,\n", + " e.stack,\n", + " msg\n", + " );\n", + " }\n", + " }\n", + " };\n", + "};\n", + "\n", + "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n", + "mpl.findpos = function (e) {\n", + " //this section is from http://www.quirksmode.org/js/events_properties.html\n", + " var targ;\n", + " if (!e) {\n", + " e = window.event;\n", + " }\n", + " if (e.target) {\n", + " targ = e.target;\n", + " } else if (e.srcElement) {\n", + " targ = e.srcElement;\n", + " }\n", + " if (targ.nodeType === 3) {\n", + " // defeat Safari bug\n", + " targ = targ.parentNode;\n", + " }\n", + "\n", + " // pageX,Y are the mouse positions relative to the document\n", + " var boundingRect = targ.getBoundingClientRect();\n", + " var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n", + " var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n", + "\n", + " return { x: x, y: y };\n", + "};\n", + "\n", + "/*\n", + " * return a copy of an object with only non-object keys\n", + " * we need this to avoid circular references\n", + " * http://stackoverflow.com/a/24161582/3208463\n", + " */\n", + "function simpleKeys(original) {\n", + " return Object.keys(original).reduce(function (obj, key) {\n", + " if (typeof original[key] !== 'object') {\n", + " obj[key] = original[key];\n", + " }\n", + " return obj;\n", + " }, {});\n", + "}\n", + "\n", + "mpl.figure.prototype.mouse_event = function (event, name) {\n", + " var canvas_pos = mpl.findpos(event);\n", + "\n", + " if (name === 'button_press') {\n", + " this.canvas.focus();\n", + " this.canvas_div.focus();\n", + " }\n", + "\n", + " var x = canvas_pos.x * this.ratio;\n", + " var y = canvas_pos.y * this.ratio;\n", + "\n", + " this.send_message(name, {\n", + " x: x,\n", + " y: y,\n", + " button: event.button,\n", + " step: event.step,\n", + " guiEvent: simpleKeys(event),\n", + " });\n", + "\n", + " /* This prevents the web browser from automatically changing to\n", + " * the text insertion cursor when the button is pressed. We want\n", + " * to control all of the cursor setting manually through the\n", + " * 'cursor' event from matplotlib */\n", + " event.preventDefault();\n", + " return false;\n", + "};\n", + "\n", + "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n", + " // Handle any extra behaviour associated with a key event\n", + "};\n", + "\n", + "mpl.figure.prototype.key_event = function (event, name) {\n", + " // Prevent repeat events\n", + " if (name === 'key_press') {\n", + " if (event.which === this._key) {\n", + " return;\n", + " } else {\n", + " this._key = event.which;\n", + " }\n", + " }\n", + " if (name === 'key_release') {\n", + " this._key = null;\n", + " }\n", + "\n", + " var value = '';\n", + " if (event.ctrlKey && event.which !== 17) {\n", + " value += 'ctrl+';\n", + " }\n", + " if (event.altKey && event.which !== 18) {\n", + " value += 'alt+';\n", + " }\n", + " if (event.shiftKey && event.which !== 16) {\n", + " value += 'shift+';\n", + " }\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, guiEvent: simpleKeys(event) });\n", + " return false;\n", + "};\n", + "\n", + "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n", + " if (name === 'download') {\n", + " this.handle_save(this, null);\n", + " } else {\n", + " this.send_message('toolbar_button', { name: name });\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n", + " this.message.textContent = tooltip;\n", + "};\n", + "\n", + "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n", + "// prettier-ignore\n", + "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n", + "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n", + "\n", + "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n", + "\n", + "mpl.default_extension = \"png\";/* global mpl */\n", + "\n", + "var comm_websocket_adapter = function (comm) {\n", + " // Create a \"websocket\"-like object which calls the given IPython comm\n", + " // object with the appropriate methods. Currently this is a non binary\n", + " // socket, so there is still some room for performance tuning.\n", + " var ws = {};\n", + "\n", + " ws.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 overridden (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 = document.getElementById(id);\n", + " var ws_proxy = comm_websocket_adapter(comm);\n", + "\n", + " function ondownload(figure, _format) {\n", + " window.open(figure.canvas.toDataURL());\n", + " }\n", + "\n", + " var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n", + "\n", + " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n", + " // web socket which is closed, not our websocket->open comm proxy.\n", + " ws_proxy.onopen();\n", + "\n", + " fig.parent_element = element;\n", + " fig.cell_info = mpl.find_output_cell(\"
\");\n", + " if (!fig.cell_info) {\n", + " console.error('Failed to find cell for figure', id, fig);\n", + " return;\n", + " }\n", + " fig.cell_info[0].output_area.element.on(\n", + " 'cleared',\n", + " { fig: fig },\n", + " fig._remove_fig_handler\n", + " );\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_close = function (fig, msg) {\n", + " var width = fig.canvas.width / fig.ratio;\n", + " fig.cell_info[0].output_area.element.off(\n", + " 'cleared',\n", + " fig._remove_fig_handler\n", + " );\n", + " fig.resizeObserverInstance.unobserve(fig.canvas_div);\n", + "\n", + " // Update the output cell to use the data from the current canvas.\n", + " fig.push_to_output();\n", + " var dataURL = fig.canvas.toDataURL();\n", + " // Re-enable the keyboard manager in IPython - without this line, in FF,\n", + " // the notebook keyboard shortcuts fail.\n", + " IPython.keyboard_manager.enable();\n", + " fig.parent_element.innerHTML =\n", + " '';\n", + " fig.close_ws(fig, msg);\n", + "};\n", + "\n", + "mpl.figure.prototype.close_ws = function (fig, msg) {\n", + " fig.send_message('closing', msg);\n", + " // fig.ws.close()\n", + "};\n", + "\n", + "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n", + " // Turn the data on the canvas into data in the output cell.\n", + " var width = this.canvas.width / this.ratio;\n", + " var dataURL = this.canvas.toDataURL();\n", + " this.cell_info[1]['text/html'] =\n", + " '';\n", + "};\n", + "\n", + "mpl.figure.prototype.updated_canvas_event = function () {\n", + " // Tell IPython that the notebook contents must change.\n", + " IPython.notebook.set_dirty(true);\n", + " this.send_message('ack', {});\n", + " var fig = this;\n", + " // Wait a second, then push the new image to the DOM so\n", + " // that it is saved nicely (might be nice to debounce this).\n", + " setTimeout(function () {\n", + " fig.push_to_output();\n", + " }, 1000);\n", + "};\n", + "\n", + "mpl.figure.prototype._init_toolbar = function () {\n", + " var fig = this;\n", + "\n", + " var toolbar = document.createElement('div');\n", + " toolbar.classList = 'btn-toolbar';\n", + " this.root.appendChild(toolbar);\n", + "\n", + " function on_click_closure(name) {\n", + " return function (_event) {\n", + " return fig.toolbar_button_onclick(name);\n", + " };\n", + " }\n", + "\n", + " function on_mouseover_closure(tooltip) {\n", + " return function (event) {\n", + " if (!event.currentTarget.disabled) {\n", + " return fig.toolbar_button_onmouseover(tooltip);\n", + " }\n", + " };\n", + " }\n", + "\n", + " fig.buttons = {};\n", + " var buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'btn-group';\n", + " var button;\n", + " for (var toolbar_ind in mpl.toolbar_items) {\n", + " var name = mpl.toolbar_items[toolbar_ind][0];\n", + " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", + " var image = mpl.toolbar_items[toolbar_ind][2];\n", + " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", + "\n", + " if (!name) {\n", + " /* Instead of a spacer, we start a new button group. */\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + " buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'btn-group';\n", + " continue;\n", + " }\n", + "\n", + " button = fig.buttons[name] = document.createElement('button');\n", + " button.classList = 'btn btn-default';\n", + " button.href = '#';\n", + " button.title = name;\n", + " button.innerHTML = '';\n", + " button.addEventListener('click', on_click_closure(method_name));\n", + " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", + " buttonGroup.appendChild(button);\n", + " }\n", + "\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + "\n", + " // Add the status bar.\n", + " var status_bar = document.createElement('span');\n", + " status_bar.classList = 'mpl-message pull-right';\n", + " toolbar.appendChild(status_bar);\n", + " this.message = status_bar;\n", + "\n", + " // Add the close button to the window.\n", + " var buttongrp = document.createElement('div');\n", + " buttongrp.classList = 'btn-group inline pull-right';\n", + " button = document.createElement('button');\n", + " button.classList = 'btn btn-mini btn-primary';\n", + " button.href = '#';\n", + " button.title = 'Stop Interaction';\n", + " button.innerHTML = '';\n", + " button.addEventListener('click', function (_evt) {\n", + " fig.handle_close(fig, {});\n", + " });\n", + " button.addEventListener(\n", + " 'mouseover',\n", + " on_mouseover_closure('Stop Interaction')\n", + " );\n", + " buttongrp.appendChild(button);\n", + " var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n", + " titlebar.insertBefore(buttongrp, titlebar.firstChild);\n", + "};\n", + "\n", + "mpl.figure.prototype._remove_fig_handler = function (event) {\n", + " var fig = event.data.fig;\n", + " if (event.target !== this) {\n", + " // Ignore bubbled events from children.\n", + " return;\n", + " }\n", + " fig.close_ws(fig, {});\n", + "};\n", + "\n", + "mpl.figure.prototype._root_extra_style = function (el) {\n", + " el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n", + "};\n", + "\n", + "mpl.figure.prototype._canvas_extra_style = function (el) {\n", + " // this is important to make the div 'focusable\n", + " el.setAttribute('tabindex', 0);\n", + " // reach out to IPython and tell the keyboard manager to turn it's self\n", + " // off when our div gets focus\n", + "\n", + " // location in version 3\n", + " if (IPython.notebook.keyboard_manager) {\n", + " IPython.notebook.keyboard_manager.register_events(el);\n", + " } else {\n", + " // location in version 2\n", + " IPython.keyboard_manager.register_events(el);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype._key_event_extra = function (event, _name) {\n", + " var manager = IPython.notebook.keyboard_manager;\n", + " if (!manager) {\n", + " manager = IPython.keyboard_manager;\n", + " }\n", + "\n", + " // Check for shift+enter\n", + " if (event.shiftKey && event.which === 13) {\n", + " this.canvas_div.blur();\n", + " // select the cell after this one\n", + " var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n", + " IPython.notebook.select(index + 1);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_save = function (fig, _msg) {\n", + " fig.ondownload(fig, null);\n", + "};\n", + "\n", + "mpl.find_output_cell = function (html_output) {\n", + " // Return the cell and output element which can be found *uniquely* in the notebook.\n", + " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n", + " // IPython event is triggered only after the cells have been serialised, which for\n", + " // our purposes (turning an active figure into a static one), is too late.\n", + " var cells = IPython.notebook.get_cells();\n", + " var ncells = cells.length;\n", + " for (var i = 0; i < ncells; i++) {\n", + " var cell = cells[i];\n", + " if (cell.cell_type === 'code') {\n", + " for (var j = 0; j < cell.output_area.outputs.length; j++) {\n", + " var data = cell.output_area.outputs[j];\n", + " if (data.data) {\n", + " // IPython >= 3 moved mimebundle to data attribute of output\n", + " data = data.data;\n", + " }\n", + " if (data['text/html'] === html_output) {\n", + " return [cell, data, j];\n", + " }\n", + " }\n", + " }\n", + " }\n", + "};\n", + "\n", + "// Register the function which deals with the matplotlib target/channel.\n", + "// The kernel may be null if the page has been refreshed.\n", + "if (IPython.notebook.kernel !== null) {\n", + " IPython.notebook.kernel.comm_manager.register_target(\n", + " 'matplotlib',\n", + " mpl.mpl_figure_comm\n", + " );\n", + "}\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# 2D\n", + "array.display(\"xz\", group=group)" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "data": { + "application/javascript": [ + "/* Put everything inside the global mpl namespace */\n", + "/* global mpl */\n", + "window.mpl = {};\n", + "\n", + "mpl.get_websocket_type = function () {\n", + " if (typeof WebSocket !== 'undefined') {\n", + " return WebSocket;\n", + " } else if (typeof MozWebSocket !== 'undefined') {\n", + " return MozWebSocket;\n", + " } else {\n", + " alert(\n", + " 'Your browser does not have WebSocket support. ' +\n", + " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n", + " 'Firefox 4 and 5 are also supported but you ' +\n", + " 'have to enable WebSockets in about:config.'\n", + " );\n", + " }\n", + "};\n", + "\n", + "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n", + " this.id = figure_id;\n", + "\n", + " this.ws = websocket;\n", + "\n", + " this.supports_binary = this.ws.binaryType !== undefined;\n", + "\n", + " if (!this.supports_binary) {\n", + " var warnings = document.getElementById('mpl-warnings');\n", + " if (warnings) {\n", + " warnings.style.display = 'block';\n", + " warnings.textContent =\n", + " 'This browser does not support binary websocket messages. ' +\n", + " 'Performance may be slow.';\n", + " }\n", + " }\n", + "\n", + " this.imageObj = new Image();\n", + "\n", + " this.context = undefined;\n", + " this.message = undefined;\n", + " this.canvas = undefined;\n", + " this.rubberband_canvas = undefined;\n", + " this.rubberband_context = undefined;\n", + " this.format_dropdown = undefined;\n", + "\n", + " this.image_mode = 'full';\n", + "\n", + " this.root = document.createElement('div');\n", + " this.root.setAttribute('style', 'display: inline-block');\n", + " this._root_extra_style(this.root);\n", + "\n", + " parent_element.appendChild(this.root);\n", + "\n", + " this._init_header(this);\n", + " this._init_canvas(this);\n", + " this._init_toolbar(this);\n", + "\n", + " var fig = this;\n", + "\n", + " this.waiting = false;\n", + "\n", + " this.ws.onopen = function () {\n", + " fig.send_message('supports_binary', { value: fig.supports_binary });\n", + " fig.send_message('send_image_mode', {});\n", + " if (fig.ratio !== 1) {\n", + " fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n", + " }\n", + " fig.send_message('refresh', {});\n", + " };\n", + "\n", + " this.imageObj.onload = function () {\n", + " if (fig.image_mode === 'full') {\n", + " // Full images could contain transparency (where diff images\n", + " // almost always do), so we need to clear the canvas so that\n", + " // there is no ghosting.\n", + " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n", + " }\n", + " fig.context.drawImage(fig.imageObj, 0, 0);\n", + " };\n", + "\n", + " this.imageObj.onunload = function () {\n", + " fig.ws.close();\n", + " };\n", + "\n", + " this.ws.onmessage = this._make_on_message_function(this);\n", + "\n", + " this.ondownload = ondownload;\n", + "};\n", + "\n", + "mpl.figure.prototype._init_header = function () {\n", + " var titlebar = document.createElement('div');\n", + " titlebar.classList =\n", + " 'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n", + " var titletext = document.createElement('div');\n", + " titletext.classList = 'ui-dialog-title';\n", + " titletext.setAttribute(\n", + " 'style',\n", + " 'width: 100%; text-align: center; padding: 3px;'\n", + " );\n", + " titlebar.appendChild(titletext);\n", + " this.root.appendChild(titlebar);\n", + " this.header = titletext;\n", + "};\n", + "\n", + "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n", + "\n", + "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n", + "\n", + "mpl.figure.prototype._init_canvas = function () {\n", + " var fig = this;\n", + "\n", + " var canvas_div = (this.canvas_div = document.createElement('div'));\n", + " canvas_div.setAttribute(\n", + " 'style',\n", + " 'border: 1px solid #ddd;' +\n", + " 'box-sizing: content-box;' +\n", + " 'clear: both;' +\n", + " 'min-height: 1px;' +\n", + " 'min-width: 1px;' +\n", + " 'outline: 0;' +\n", + " 'overflow: hidden;' +\n", + " 'position: relative;' +\n", + " 'resize: both;'\n", + " );\n", + "\n", + " function on_keyboard_event_closure(name) {\n", + " return function (event) {\n", + " return fig.key_event(event, name);\n", + " };\n", + " }\n", + "\n", + " canvas_div.addEventListener(\n", + " 'keydown',\n", + " on_keyboard_event_closure('key_press')\n", + " );\n", + " canvas_div.addEventListener(\n", + " 'keyup',\n", + " on_keyboard_event_closure('key_release')\n", + " );\n", + "\n", + " this._canvas_extra_style(canvas_div);\n", + " this.root.appendChild(canvas_div);\n", + "\n", + " var canvas = (this.canvas = document.createElement('canvas'));\n", + " canvas.classList.add('mpl-canvas');\n", + " canvas.setAttribute('style', 'box-sizing: content-box;');\n", + "\n", + " this.context = canvas.getContext('2d');\n", + "\n", + " var backingStore =\n", + " this.context.backingStorePixelRatio ||\n", + " this.context.webkitBackingStorePixelRatio ||\n", + " this.context.mozBackingStorePixelRatio ||\n", + " this.context.msBackingStorePixelRatio ||\n", + " this.context.oBackingStorePixelRatio ||\n", + " this.context.backingStorePixelRatio ||\n", + " 1;\n", + "\n", + " this.ratio = (window.devicePixelRatio || 1) / backingStore;\n", + " if (this.ratio !== 1) {\n", + " fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n", + " }\n", + "\n", + " var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n", + " 'canvas'\n", + " ));\n", + " rubberband_canvas.setAttribute(\n", + " 'style',\n", + " 'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n", + " );\n", + "\n", + " // Apply a ponyfill if ResizeObserver is not implemented by browser.\n", + " if (this.ResizeObserver === undefined) {\n", + " if (window.ResizeObserver !== undefined) {\n", + " this.ResizeObserver = window.ResizeObserver;\n", + " } else {\n", + " var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n", + " this.ResizeObserver = obs.ResizeObserver;\n", + " }\n", + " }\n", + "\n", + " this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n", + " var nentries = entries.length;\n", + " for (var i = 0; i < nentries; i++) {\n", + " var entry = entries[i];\n", + " var width, height;\n", + " if (entry.contentBoxSize) {\n", + " if (entry.contentBoxSize instanceof Array) {\n", + " // Chrome 84 implements new version of spec.\n", + " width = entry.contentBoxSize[0].inlineSize;\n", + " height = entry.contentBoxSize[0].blockSize;\n", + " } else {\n", + " // Firefox implements old version of spec.\n", + " width = entry.contentBoxSize.inlineSize;\n", + " height = entry.contentBoxSize.blockSize;\n", + " }\n", + " } else {\n", + " // Chrome <84 implements even older version of spec.\n", + " width = entry.contentRect.width;\n", + " height = entry.contentRect.height;\n", + " }\n", + "\n", + " // Keep the size of the canvas and rubber band canvas in sync with\n", + " // the canvas container.\n", + " if (entry.devicePixelContentBoxSize) {\n", + " // Chrome 84 implements new version of spec.\n", + " canvas.setAttribute(\n", + " 'width',\n", + " entry.devicePixelContentBoxSize[0].inlineSize\n", + " );\n", + " canvas.setAttribute(\n", + " 'height',\n", + " entry.devicePixelContentBoxSize[0].blockSize\n", + " );\n", + " } else {\n", + " canvas.setAttribute('width', width * fig.ratio);\n", + " canvas.setAttribute('height', height * fig.ratio);\n", + " }\n", + " canvas.setAttribute(\n", + " 'style',\n", + " 'width: ' + width + 'px; height: ' + height + 'px;'\n", + " );\n", + "\n", + " rubberband_canvas.setAttribute('width', width);\n", + " rubberband_canvas.setAttribute('height', height);\n", + "\n", + " // And update the size in Python. We ignore the initial 0/0 size\n", + " // that occurs as the element is placed into the DOM, which should\n", + " // otherwise not happen due to the minimum size styling.\n", + " if (width != 0 && height != 0) {\n", + " fig.request_resize(width, height);\n", + " }\n", + " }\n", + " });\n", + " this.resizeObserverInstance.observe(canvas_div);\n", + "\n", + " function on_mouse_event_closure(name) {\n", + " return function (event) {\n", + " return fig.mouse_event(event, name);\n", + " };\n", + " }\n", + "\n", + " rubberband_canvas.addEventListener(\n", + " 'mousedown',\n", + " on_mouse_event_closure('button_press')\n", + " );\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseup',\n", + " on_mouse_event_closure('button_release')\n", + " );\n", + " // Throttle sequential mouse events to 1 every 20ms.\n", + " rubberband_canvas.addEventListener(\n", + " 'mousemove',\n", + " on_mouse_event_closure('motion_notify')\n", + " );\n", + "\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseenter',\n", + " on_mouse_event_closure('figure_enter')\n", + " );\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseleave',\n", + " on_mouse_event_closure('figure_leave')\n", + " );\n", + "\n", + " canvas_div.addEventListener('wheel', function (event) {\n", + " if (event.deltaY < 0) {\n", + " event.step = 1;\n", + " } else {\n", + " event.step = -1;\n", + " }\n", + " on_mouse_event_closure('scroll')(event);\n", + " });\n", + "\n", + " canvas_div.appendChild(canvas);\n", + " canvas_div.appendChild(rubberband_canvas);\n", + "\n", + " this.rubberband_context = rubberband_canvas.getContext('2d');\n", + " this.rubberband_context.strokeStyle = '#000000';\n", + "\n", + " this._resize_canvas = function (width, height, forward) {\n", + " if (forward) {\n", + " canvas_div.style.width = width + 'px';\n", + " canvas_div.style.height = height + 'px';\n", + " }\n", + " };\n", + "\n", + " // Disable right mouse context menu.\n", + " this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n", + " event.preventDefault();\n", + " return false;\n", + " });\n", + "\n", + " function set_focus() {\n", + " canvas.focus();\n", + " canvas_div.focus();\n", + " }\n", + "\n", + " window.setTimeout(set_focus, 100);\n", + "};\n", + "\n", + "mpl.figure.prototype._init_toolbar = function () {\n", + " var fig = this;\n", + "\n", + " var toolbar = document.createElement('div');\n", + " toolbar.classList = 'mpl-toolbar';\n", + " this.root.appendChild(toolbar);\n", + "\n", + " function on_click_closure(name) {\n", + " return function (_event) {\n", + " return fig.toolbar_button_onclick(name);\n", + " };\n", + " }\n", + "\n", + " function on_mouseover_closure(tooltip) {\n", + " return function (event) {\n", + " if (!event.currentTarget.disabled) {\n", + " return fig.toolbar_button_onmouseover(tooltip);\n", + " }\n", + " };\n", + " }\n", + "\n", + " fig.buttons = {};\n", + " var buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'mpl-button-group';\n", + " for (var toolbar_ind in mpl.toolbar_items) {\n", + " var name = mpl.toolbar_items[toolbar_ind][0];\n", + " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", + " var image = mpl.toolbar_items[toolbar_ind][2];\n", + " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", + "\n", + " if (!name) {\n", + " /* Instead of a spacer, we start a new button group. */\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + " buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'mpl-button-group';\n", + " continue;\n", + " }\n", + "\n", + " var button = (fig.buttons[name] = document.createElement('button'));\n", + " button.classList = 'mpl-widget';\n", + " button.setAttribute('role', 'button');\n", + " button.setAttribute('aria-disabled', 'false');\n", + " button.addEventListener('click', on_click_closure(method_name));\n", + " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", + "\n", + " var icon_img = document.createElement('img');\n", + " icon_img.src = '_images/' + image + '.png';\n", + " icon_img.srcset = '_images/' + image + '_large.png 2x';\n", + " icon_img.alt = tooltip;\n", + " button.appendChild(icon_img);\n", + "\n", + " buttonGroup.appendChild(button);\n", + " }\n", + "\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + "\n", + " var fmt_picker = document.createElement('select');\n", + " fmt_picker.classList = 'mpl-widget';\n", + " toolbar.appendChild(fmt_picker);\n", + " this.format_dropdown = fmt_picker;\n", + "\n", + " for (var ind in mpl.extensions) {\n", + " var fmt = mpl.extensions[ind];\n", + " var option = document.createElement('option');\n", + " option.selected = fmt === mpl.default_extension;\n", + " option.innerHTML = fmt;\n", + " fmt_picker.appendChild(option);\n", + " }\n", + "\n", + " var status_bar = document.createElement('span');\n", + " status_bar.classList = 'mpl-message';\n", + " toolbar.appendChild(status_bar);\n", + " this.message = status_bar;\n", + "};\n", + "\n", + "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n", + " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n", + " // which will in turn request a refresh of the image.\n", + " this.send_message('resize', { width: x_pixels, height: y_pixels });\n", + "};\n", + "\n", + "mpl.figure.prototype.send_message = function (type, properties) {\n", + " properties['type'] = type;\n", + " properties['figure_id'] = this.id;\n", + " this.ws.send(JSON.stringify(properties));\n", + "};\n", + "\n", + "mpl.figure.prototype.send_draw_message = function () {\n", + " if (!this.waiting) {\n", + " this.waiting = true;\n", + " this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_save = function (fig, _msg) {\n", + " var format_dropdown = fig.format_dropdown;\n", + " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n", + " fig.ondownload(fig, format);\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_resize = function (fig, msg) {\n", + " var size = msg['size'];\n", + " if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n", + " fig._resize_canvas(size[0], size[1], msg['forward']);\n", + " fig.send_message('refresh', {});\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n", + " var x0 = msg['x0'] / fig.ratio;\n", + " var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n", + " var x1 = msg['x1'] / fig.ratio;\n", + " var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n", + " x0 = Math.floor(x0) + 0.5;\n", + " y0 = Math.floor(y0) + 0.5;\n", + " x1 = Math.floor(x1) + 0.5;\n", + " y1 = Math.floor(y1) + 0.5;\n", + " var min_x = Math.min(x0, x1);\n", + " var min_y = Math.min(y0, y1);\n", + " var width = Math.abs(x1 - x0);\n", + " var height = Math.abs(y1 - y0);\n", + "\n", + " fig.rubberband_context.clearRect(\n", + " 0,\n", + " 0,\n", + " fig.canvas.width / fig.ratio,\n", + " fig.canvas.height / fig.ratio\n", + " );\n", + "\n", + " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n", + " // Updates the figure title.\n", + " fig.header.textContent = msg['label'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n", + " var cursor = msg['cursor'];\n", + " switch (cursor) {\n", + " case 0:\n", + " cursor = 'pointer';\n", + " break;\n", + " case 1:\n", + " cursor = 'default';\n", + " break;\n", + " case 2:\n", + " cursor = 'crosshair';\n", + " break;\n", + " case 3:\n", + " cursor = 'move';\n", + " break;\n", + " }\n", + " fig.rubberband_canvas.style.cursor = cursor;\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_message = function (fig, msg) {\n", + " fig.message.textContent = msg['message'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n", + " // Request the server to send over a new figure.\n", + " fig.send_draw_message();\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n", + " fig.image_mode = msg['mode'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n", + " for (var key in msg) {\n", + " if (!(key in fig.buttons)) {\n", + " continue;\n", + " }\n", + " fig.buttons[key].disabled = !msg[key];\n", + " fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n", + " if (msg['mode'] === 'PAN') {\n", + " fig.buttons['Pan'].classList.add('active');\n", + " fig.buttons['Zoom'].classList.remove('active');\n", + " } else if (msg['mode'] === 'ZOOM') {\n", + " fig.buttons['Pan'].classList.remove('active');\n", + " fig.buttons['Zoom'].classList.add('active');\n", + " } else {\n", + " fig.buttons['Pan'].classList.remove('active');\n", + " fig.buttons['Zoom'].classList.remove('active');\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.updated_canvas_event = function () {\n", + " // Called whenever the canvas gets updated.\n", + " this.send_message('ack', {});\n", + "};\n", + "\n", + "// A function to construct a web socket function for onmessage handling.\n", + "// Called in the figure constructor.\n", + "mpl.figure.prototype._make_on_message_function = function (fig) {\n", + " return function socket_on_message(evt) {\n", + " if (evt.data instanceof Blob) {\n", + " /* 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", + "\n", + " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n", + " evt.data\n", + " );\n", + " fig.updated_canvas_event();\n", + " fig.waiting = false;\n", + " return;\n", + " } else if (\n", + " typeof evt.data === 'string' &&\n", + " evt.data.slice(0, 21) === 'data:image/png;base64'\n", + " ) {\n", + " fig.imageObj.src = evt.data;\n", + " fig.updated_canvas_event();\n", + " fig.waiting = false;\n", + " return;\n", + " }\n", + "\n", + " var msg = JSON.parse(evt.data);\n", + " var msg_type = msg['type'];\n", + "\n", + " // Call the \"handle_{type}\" callback, which takes\n", + " // the figure and JSON message as its only arguments.\n", + " try {\n", + " var callback = fig['handle_' + msg_type];\n", + " } catch (e) {\n", + " console.log(\n", + " \"No handler for the '\" + msg_type + \"' message type: \",\n", + " msg\n", + " );\n", + " return;\n", + " }\n", + "\n", + " if (callback) {\n", + " try {\n", + " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n", + " callback(fig, msg);\n", + " } catch (e) {\n", + " console.log(\n", + " \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n", + " e,\n", + " e.stack,\n", + " msg\n", + " );\n", + " }\n", + " }\n", + " };\n", + "};\n", + "\n", + "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n", + "mpl.findpos = function (e) {\n", + " //this section is from http://www.quirksmode.org/js/events_properties.html\n", + " var targ;\n", + " if (!e) {\n", + " e = window.event;\n", + " }\n", + " if (e.target) {\n", + " targ = e.target;\n", + " } else if (e.srcElement) {\n", + " targ = e.srcElement;\n", + " }\n", + " if (targ.nodeType === 3) {\n", + " // defeat Safari bug\n", + " targ = targ.parentNode;\n", + " }\n", + "\n", + " // pageX,Y are the mouse positions relative to the document\n", + " var boundingRect = targ.getBoundingClientRect();\n", + " var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n", + " var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n", + "\n", + " return { x: x, y: y };\n", + "};\n", + "\n", + "/*\n", + " * return a copy of an object with only non-object keys\n", + " * we need this to avoid circular references\n", + " * http://stackoverflow.com/a/24161582/3208463\n", + " */\n", + "function simpleKeys(original) {\n", + " return Object.keys(original).reduce(function (obj, key) {\n", + " if (typeof original[key] !== 'object') {\n", + " obj[key] = original[key];\n", + " }\n", + " return obj;\n", + " }, {});\n", + "}\n", + "\n", + "mpl.figure.prototype.mouse_event = function (event, name) {\n", + " var canvas_pos = mpl.findpos(event);\n", + "\n", + " if (name === 'button_press') {\n", + " this.canvas.focus();\n", + " this.canvas_div.focus();\n", + " }\n", + "\n", + " var x = canvas_pos.x * this.ratio;\n", + " var y = canvas_pos.y * this.ratio;\n", + "\n", + " this.send_message(name, {\n", + " x: x,\n", + " y: y,\n", + " button: event.button,\n", + " step: event.step,\n", + " guiEvent: simpleKeys(event),\n", + " });\n", + "\n", + " /* This prevents the web browser from automatically changing to\n", + " * the text insertion cursor when the button is pressed. We want\n", + " * to control all of the cursor setting manually through the\n", + " * 'cursor' event from matplotlib */\n", + " event.preventDefault();\n", + " return false;\n", + "};\n", + "\n", + "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n", + " // Handle any extra behaviour associated with a key event\n", + "};\n", + "\n", + "mpl.figure.prototype.key_event = function (event, name) {\n", + " // Prevent repeat events\n", + " if (name === 'key_press') {\n", + " if (event.which === this._key) {\n", + " return;\n", + " } else {\n", + " this._key = event.which;\n", + " }\n", + " }\n", + " if (name === 'key_release') {\n", + " this._key = null;\n", + " }\n", + "\n", + " var value = '';\n", + " if (event.ctrlKey && event.which !== 17) {\n", + " value += 'ctrl+';\n", + " }\n", + " if (event.altKey && event.which !== 18) {\n", + " value += 'alt+';\n", + " }\n", + " if (event.shiftKey && event.which !== 16) {\n", + " value += 'shift+';\n", + " }\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, guiEvent: simpleKeys(event) });\n", + " return false;\n", + "};\n", + "\n", + "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n", + " if (name === 'download') {\n", + " this.handle_save(this, null);\n", + " } else {\n", + " this.send_message('toolbar_button', { name: name });\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n", + " this.message.textContent = tooltip;\n", + "};\n", + "\n", + "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n", + "// prettier-ignore\n", + "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n", + "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n", + "\n", + "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n", + "\n", + "mpl.default_extension = \"png\";/* global mpl */\n", + "\n", + "var comm_websocket_adapter = function (comm) {\n", + " // Create a \"websocket\"-like object which calls the given IPython comm\n", + " // object with the appropriate methods. Currently this is a non binary\n", + " // socket, so there is still some room for performance tuning.\n", + " var ws = {};\n", + "\n", + " ws.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 overridden (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 = document.getElementById(id);\n", + " var ws_proxy = comm_websocket_adapter(comm);\n", + "\n", + " function ondownload(figure, _format) {\n", + " window.open(figure.canvas.toDataURL());\n", + " }\n", + "\n", + " var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n", + "\n", + " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n", + " // web socket which is closed, not our websocket->open comm proxy.\n", + " ws_proxy.onopen();\n", + "\n", + " fig.parent_element = element;\n", + " fig.cell_info = mpl.find_output_cell(\"
\");\n", + " if (!fig.cell_info) {\n", + " console.error('Failed to find cell for figure', id, fig);\n", + " return;\n", + " }\n", + " fig.cell_info[0].output_area.element.on(\n", + " 'cleared',\n", + " { fig: fig },\n", + " fig._remove_fig_handler\n", + " );\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_close = function (fig, msg) {\n", + " var width = fig.canvas.width / fig.ratio;\n", + " fig.cell_info[0].output_area.element.off(\n", + " 'cleared',\n", + " fig._remove_fig_handler\n", + " );\n", + " fig.resizeObserverInstance.unobserve(fig.canvas_div);\n", + "\n", + " // Update the output cell to use the data from the current canvas.\n", + " fig.push_to_output();\n", + " var dataURL = fig.canvas.toDataURL();\n", + " // Re-enable the keyboard manager in IPython - without this line, in FF,\n", + " // the notebook keyboard shortcuts fail.\n", + " IPython.keyboard_manager.enable();\n", + " fig.parent_element.innerHTML =\n", + " '';\n", + " fig.close_ws(fig, msg);\n", + "};\n", + "\n", + "mpl.figure.prototype.close_ws = function (fig, msg) {\n", + " fig.send_message('closing', msg);\n", + " // fig.ws.close()\n", + "};\n", + "\n", + "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n", + " // Turn the data on the canvas into data in the output cell.\n", + " var width = this.canvas.width / this.ratio;\n", + " var dataURL = this.canvas.toDataURL();\n", + " this.cell_info[1]['text/html'] =\n", + " '';\n", + "};\n", + "\n", + "mpl.figure.prototype.updated_canvas_event = function () {\n", + " // Tell IPython that the notebook contents must change.\n", + " IPython.notebook.set_dirty(true);\n", + " this.send_message('ack', {});\n", + " var fig = this;\n", + " // Wait a second, then push the new image to the DOM so\n", + " // that it is saved nicely (might be nice to debounce this).\n", + " setTimeout(function () {\n", + " fig.push_to_output();\n", + " }, 1000);\n", + "};\n", + "\n", + "mpl.figure.prototype._init_toolbar = function () {\n", + " var fig = this;\n", + "\n", + " var toolbar = document.createElement('div');\n", + " toolbar.classList = 'btn-toolbar';\n", + " this.root.appendChild(toolbar);\n", + "\n", + " function on_click_closure(name) {\n", + " return function (_event) {\n", + " return fig.toolbar_button_onclick(name);\n", + " };\n", + " }\n", + "\n", + " function on_mouseover_closure(tooltip) {\n", + " return function (event) {\n", + " if (!event.currentTarget.disabled) {\n", + " return fig.toolbar_button_onmouseover(tooltip);\n", + " }\n", + " };\n", + " }\n", + "\n", + " fig.buttons = {};\n", + " var buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'btn-group';\n", + " var button;\n", + " for (var toolbar_ind in mpl.toolbar_items) {\n", + " var name = mpl.toolbar_items[toolbar_ind][0];\n", + " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", + " var image = mpl.toolbar_items[toolbar_ind][2];\n", + " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", + "\n", + " if (!name) {\n", + " /* Instead of a spacer, we start a new button group. */\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + " buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'btn-group';\n", + " continue;\n", + " }\n", + "\n", + " button = fig.buttons[name] = document.createElement('button');\n", + " button.classList = 'btn btn-default';\n", + " button.href = '#';\n", + " button.title = name;\n", + " button.innerHTML = '';\n", + " button.addEventListener('click', on_click_closure(method_name));\n", + " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", + " buttonGroup.appendChild(button);\n", + " }\n", + "\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + "\n", + " // Add the status bar.\n", + " var status_bar = document.createElement('span');\n", + " status_bar.classList = 'mpl-message pull-right';\n", + " toolbar.appendChild(status_bar);\n", + " this.message = status_bar;\n", + "\n", + " // Add the close button to the window.\n", + " var buttongrp = document.createElement('div');\n", + " buttongrp.classList = 'btn-group inline pull-right';\n", + " button = document.createElement('button');\n", + " button.classList = 'btn btn-mini btn-primary';\n", + " button.href = '#';\n", + " button.title = 'Stop Interaction';\n", + " button.innerHTML = '';\n", + " button.addEventListener('click', function (_evt) {\n", + " fig.handle_close(fig, {});\n", + " });\n", + " button.addEventListener(\n", + " 'mouseover',\n", + " on_mouseover_closure('Stop Interaction')\n", + " );\n", + " buttongrp.appendChild(button);\n", + " var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n", + " titlebar.insertBefore(buttongrp, titlebar.firstChild);\n", + "};\n", + "\n", + "mpl.figure.prototype._remove_fig_handler = function (event) {\n", + " var fig = event.data.fig;\n", + " if (event.target !== this) {\n", + " // Ignore bubbled events from children.\n", + " return;\n", + " }\n", + " fig.close_ws(fig, {});\n", + "};\n", + "\n", + "mpl.figure.prototype._root_extra_style = function (el) {\n", + " el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n", + "};\n", + "\n", + "mpl.figure.prototype._canvas_extra_style = function (el) {\n", + " // this is important to make the div 'focusable\n", + " el.setAttribute('tabindex', 0);\n", + " // reach out to IPython and tell the keyboard manager to turn it's self\n", + " // off when our div gets focus\n", + "\n", + " // location in version 3\n", + " if (IPython.notebook.keyboard_manager) {\n", + " IPython.notebook.keyboard_manager.register_events(el);\n", + " } else {\n", + " // location in version 2\n", + " IPython.keyboard_manager.register_events(el);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype._key_event_extra = function (event, _name) {\n", + " var manager = IPython.notebook.keyboard_manager;\n", + " if (!manager) {\n", + " manager = IPython.keyboard_manager;\n", + " }\n", + "\n", + " // Check for shift+enter\n", + " if (event.shiftKey && event.which === 13) {\n", + " this.canvas_div.blur();\n", + " // select the cell after this one\n", + " var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n", + " IPython.notebook.select(index + 1);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_save = function (fig, _msg) {\n", + " fig.ondownload(fig, null);\n", + "};\n", + "\n", + "mpl.find_output_cell = function (html_output) {\n", + " // Return the cell and output element which can be found *uniquely* in the notebook.\n", + " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n", + " // IPython event is triggered only after the cells have been serialised, which for\n", + " // our purposes (turning an active figure into a static one), is too late.\n", + " var cells = IPython.notebook.get_cells();\n", + " var ncells = cells.length;\n", + " for (var i = 0; i < ncells; i++) {\n", + " var cell = cells[i];\n", + " if (cell.cell_type === 'code') {\n", + " for (var j = 0; j < cell.output_area.outputs.length; j++) {\n", + " var data = cell.output_area.outputs[j];\n", + " if (data.data) {\n", + " // IPython >= 3 moved mimebundle to data attribute of output\n", + " data = data.data;\n", + " }\n", + " if (data['text/html'] === html_output) {\n", + " return [cell, data, j];\n", + " }\n", + " }\n", + " }\n", + " }\n", + "};\n", + "\n", + "// Register the function which deals with the matplotlib target/channel.\n", + "// The kernel may be null if the page has been refreshed.\n", + "if (IPython.notebook.kernel !== null) {\n", + " IPython.notebook.kernel.comm_manager.register_target(\n", + " 'matplotlib',\n", + " mpl.mpl_figure_comm\n", + " );\n", + "}\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# 3D\n", + "array.display(\"xyz\", group=group)" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "application/javascript": [ + "/* Put everything inside the global mpl namespace */\n", + "/* global mpl */\n", + "window.mpl = {};\n", + "\n", + "mpl.get_websocket_type = function () {\n", + " if (typeof WebSocket !== 'undefined') {\n", + " return WebSocket;\n", + " } else if (typeof MozWebSocket !== 'undefined') {\n", + " return MozWebSocket;\n", + " } else {\n", + " alert(\n", + " 'Your browser does not have WebSocket support. ' +\n", + " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n", + " 'Firefox 4 and 5 are also supported but you ' +\n", + " 'have to enable WebSockets in about:config.'\n", + " );\n", + " }\n", + "};\n", + "\n", + "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n", + " this.id = figure_id;\n", + "\n", + " this.ws = websocket;\n", + "\n", + " this.supports_binary = this.ws.binaryType !== undefined;\n", + "\n", + " if (!this.supports_binary) {\n", + " var warnings = document.getElementById('mpl-warnings');\n", + " if (warnings) {\n", + " warnings.style.display = 'block';\n", + " warnings.textContent =\n", + " 'This browser does not support binary websocket messages. ' +\n", + " 'Performance may be slow.';\n", + " }\n", + " }\n", + "\n", + " this.imageObj = new Image();\n", + "\n", + " this.context = undefined;\n", + " this.message = undefined;\n", + " this.canvas = undefined;\n", + " this.rubberband_canvas = undefined;\n", + " this.rubberband_context = undefined;\n", + " this.format_dropdown = undefined;\n", + "\n", + " this.image_mode = 'full';\n", + "\n", + " this.root = document.createElement('div');\n", + " this.root.setAttribute('style', 'display: inline-block');\n", + " this._root_extra_style(this.root);\n", + "\n", + " parent_element.appendChild(this.root);\n", + "\n", + " this._init_header(this);\n", + " this._init_canvas(this);\n", + " this._init_toolbar(this);\n", + "\n", + " var fig = this;\n", + "\n", + " this.waiting = false;\n", + "\n", + " this.ws.onopen = function () {\n", + " fig.send_message('supports_binary', { value: fig.supports_binary });\n", + " fig.send_message('send_image_mode', {});\n", + " if (fig.ratio !== 1) {\n", + " fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n", + " }\n", + " fig.send_message('refresh', {});\n", + " };\n", + "\n", + " this.imageObj.onload = function () {\n", + " if (fig.image_mode === 'full') {\n", + " // Full images could contain transparency (where diff images\n", + " // almost always do), so we need to clear the canvas so that\n", + " // there is no ghosting.\n", + " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n", + " }\n", + " fig.context.drawImage(fig.imageObj, 0, 0);\n", + " };\n", + "\n", + " this.imageObj.onunload = function () {\n", + " fig.ws.close();\n", + " };\n", + "\n", + " this.ws.onmessage = this._make_on_message_function(this);\n", + "\n", + " this.ondownload = ondownload;\n", + "};\n", + "\n", + "mpl.figure.prototype._init_header = function () {\n", + " var titlebar = document.createElement('div');\n", + " titlebar.classList =\n", + " 'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n", + " var titletext = document.createElement('div');\n", + " titletext.classList = 'ui-dialog-title';\n", + " titletext.setAttribute(\n", + " 'style',\n", + " 'width: 100%; text-align: center; padding: 3px;'\n", + " );\n", + " titlebar.appendChild(titletext);\n", + " this.root.appendChild(titlebar);\n", + " this.header = titletext;\n", + "};\n", + "\n", + "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n", + "\n", + "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n", + "\n", + "mpl.figure.prototype._init_canvas = function () {\n", + " var fig = this;\n", + "\n", + " var canvas_div = (this.canvas_div = document.createElement('div'));\n", + " canvas_div.setAttribute(\n", + " 'style',\n", + " 'border: 1px solid #ddd;' +\n", + " 'box-sizing: content-box;' +\n", + " 'clear: both;' +\n", + " 'min-height: 1px;' +\n", + " 'min-width: 1px;' +\n", + " 'outline: 0;' +\n", + " 'overflow: hidden;' +\n", + " 'position: relative;' +\n", + " 'resize: both;'\n", + " );\n", + "\n", + " function on_keyboard_event_closure(name) {\n", + " return function (event) {\n", + " return fig.key_event(event, name);\n", + " };\n", + " }\n", + "\n", + " canvas_div.addEventListener(\n", + " 'keydown',\n", + " on_keyboard_event_closure('key_press')\n", + " );\n", + " canvas_div.addEventListener(\n", + " 'keyup',\n", + " on_keyboard_event_closure('key_release')\n", + " );\n", + "\n", + " this._canvas_extra_style(canvas_div);\n", + " this.root.appendChild(canvas_div);\n", + "\n", + " var canvas = (this.canvas = document.createElement('canvas'));\n", + " canvas.classList.add('mpl-canvas');\n", + " canvas.setAttribute('style', 'box-sizing: content-box;');\n", + "\n", + " this.context = canvas.getContext('2d');\n", + "\n", + " var backingStore =\n", + " this.context.backingStorePixelRatio ||\n", + " this.context.webkitBackingStorePixelRatio ||\n", + " this.context.mozBackingStorePixelRatio ||\n", + " this.context.msBackingStorePixelRatio ||\n", + " this.context.oBackingStorePixelRatio ||\n", + " this.context.backingStorePixelRatio ||\n", + " 1;\n", + "\n", + " this.ratio = (window.devicePixelRatio || 1) / backingStore;\n", + " if (this.ratio !== 1) {\n", + " fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n", + " }\n", + "\n", + " var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n", + " 'canvas'\n", + " ));\n", + " rubberband_canvas.setAttribute(\n", + " 'style',\n", + " 'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n", + " );\n", + "\n", + " // Apply a ponyfill if ResizeObserver is not implemented by browser.\n", + " if (this.ResizeObserver === undefined) {\n", + " if (window.ResizeObserver !== undefined) {\n", + " this.ResizeObserver = window.ResizeObserver;\n", + " } else {\n", + " var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n", + " this.ResizeObserver = obs.ResizeObserver;\n", + " }\n", + " }\n", + "\n", + " this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n", + " var nentries = entries.length;\n", + " for (var i = 0; i < nentries; i++) {\n", + " var entry = entries[i];\n", + " var width, height;\n", + " if (entry.contentBoxSize) {\n", + " if (entry.contentBoxSize instanceof Array) {\n", + " // Chrome 84 implements new version of spec.\n", + " width = entry.contentBoxSize[0].inlineSize;\n", + " height = entry.contentBoxSize[0].blockSize;\n", + " } else {\n", + " // Firefox implements old version of spec.\n", + " width = entry.contentBoxSize.inlineSize;\n", + " height = entry.contentBoxSize.blockSize;\n", + " }\n", + " } else {\n", + " // Chrome <84 implements even older version of spec.\n", + " width = entry.contentRect.width;\n", + " height = entry.contentRect.height;\n", + " }\n", + "\n", + " // Keep the size of the canvas and rubber band canvas in sync with\n", + " // the canvas container.\n", + " if (entry.devicePixelContentBoxSize) {\n", + " // Chrome 84 implements new version of spec.\n", + " canvas.setAttribute(\n", + " 'width',\n", + " entry.devicePixelContentBoxSize[0].inlineSize\n", + " );\n", + " canvas.setAttribute(\n", + " 'height',\n", + " entry.devicePixelContentBoxSize[0].blockSize\n", + " );\n", + " } else {\n", + " canvas.setAttribute('width', width * fig.ratio);\n", + " canvas.setAttribute('height', height * fig.ratio);\n", + " }\n", + " canvas.setAttribute(\n", + " 'style',\n", + " 'width: ' + width + 'px; height: ' + height + 'px;'\n", + " );\n", + "\n", + " rubberband_canvas.setAttribute('width', width);\n", + " rubberband_canvas.setAttribute('height', height);\n", + "\n", + " // And update the size in Python. We ignore the initial 0/0 size\n", + " // that occurs as the element is placed into the DOM, which should\n", + " // otherwise not happen due to the minimum size styling.\n", + " if (width != 0 && height != 0) {\n", + " fig.request_resize(width, height);\n", + " }\n", + " }\n", + " });\n", + " this.resizeObserverInstance.observe(canvas_div);\n", + "\n", + " function on_mouse_event_closure(name) {\n", + " return function (event) {\n", + " return fig.mouse_event(event, name);\n", + " };\n", + " }\n", + "\n", + " rubberband_canvas.addEventListener(\n", + " 'mousedown',\n", + " on_mouse_event_closure('button_press')\n", + " );\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseup',\n", + " on_mouse_event_closure('button_release')\n", + " );\n", + " // Throttle sequential mouse events to 1 every 20ms.\n", + " rubberband_canvas.addEventListener(\n", + " 'mousemove',\n", + " on_mouse_event_closure('motion_notify')\n", + " );\n", + "\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseenter',\n", + " on_mouse_event_closure('figure_enter')\n", + " );\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseleave',\n", + " on_mouse_event_closure('figure_leave')\n", + " );\n", + "\n", + " canvas_div.addEventListener('wheel', function (event) {\n", + " if (event.deltaY < 0) {\n", + " event.step = 1;\n", + " } else {\n", + " event.step = -1;\n", + " }\n", + " on_mouse_event_closure('scroll')(event);\n", + " });\n", + "\n", + " canvas_div.appendChild(canvas);\n", + " canvas_div.appendChild(rubberband_canvas);\n", + "\n", + " this.rubberband_context = rubberband_canvas.getContext('2d');\n", + " this.rubberband_context.strokeStyle = '#000000';\n", + "\n", + " this._resize_canvas = function (width, height, forward) {\n", + " if (forward) {\n", + " canvas_div.style.width = width + 'px';\n", + " canvas_div.style.height = height + 'px';\n", + " }\n", + " };\n", + "\n", + " // Disable right mouse context menu.\n", + " this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n", + " event.preventDefault();\n", + " return false;\n", + " });\n", + "\n", + " function set_focus() {\n", + " canvas.focus();\n", + " canvas_div.focus();\n", + " }\n", + "\n", + " window.setTimeout(set_focus, 100);\n", + "};\n", + "\n", + "mpl.figure.prototype._init_toolbar = function () {\n", + " var fig = this;\n", + "\n", + " var toolbar = document.createElement('div');\n", + " toolbar.classList = 'mpl-toolbar';\n", + " this.root.appendChild(toolbar);\n", + "\n", + " function on_click_closure(name) {\n", + " return function (_event) {\n", + " return fig.toolbar_button_onclick(name);\n", + " };\n", + " }\n", + "\n", + " function on_mouseover_closure(tooltip) {\n", + " return function (event) {\n", + " if (!event.currentTarget.disabled) {\n", + " return fig.toolbar_button_onmouseover(tooltip);\n", + " }\n", + " };\n", + " }\n", + "\n", + " fig.buttons = {};\n", + " var buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'mpl-button-group';\n", + " for (var toolbar_ind in mpl.toolbar_items) {\n", + " var name = mpl.toolbar_items[toolbar_ind][0];\n", + " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", + " var image = mpl.toolbar_items[toolbar_ind][2];\n", + " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", + "\n", + " if (!name) {\n", + " /* Instead of a spacer, we start a new button group. */\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + " buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'mpl-button-group';\n", + " continue;\n", + " }\n", + "\n", + " var button = (fig.buttons[name] = document.createElement('button'));\n", + " button.classList = 'mpl-widget';\n", + " button.setAttribute('role', 'button');\n", + " button.setAttribute('aria-disabled', 'false');\n", + " button.addEventListener('click', on_click_closure(method_name));\n", + " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", + "\n", + " var icon_img = document.createElement('img');\n", + " icon_img.src = '_images/' + image + '.png';\n", + " icon_img.srcset = '_images/' + image + '_large.png 2x';\n", + " icon_img.alt = tooltip;\n", + " button.appendChild(icon_img);\n", + "\n", + " buttonGroup.appendChild(button);\n", + " }\n", + "\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + "\n", + " var fmt_picker = document.createElement('select');\n", + " fmt_picker.classList = 'mpl-widget';\n", + " toolbar.appendChild(fmt_picker);\n", + " this.format_dropdown = fmt_picker;\n", + "\n", + " for (var ind in mpl.extensions) {\n", + " var fmt = mpl.extensions[ind];\n", + " var option = document.createElement('option');\n", + " option.selected = fmt === mpl.default_extension;\n", + " option.innerHTML = fmt;\n", + " fmt_picker.appendChild(option);\n", + " }\n", + "\n", + " var status_bar = document.createElement('span');\n", + " status_bar.classList = 'mpl-message';\n", + " toolbar.appendChild(status_bar);\n", + " this.message = status_bar;\n", + "};\n", + "\n", + "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n", + " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n", + " // which will in turn request a refresh of the image.\n", + " this.send_message('resize', { width: x_pixels, height: y_pixels });\n", + "};\n", + "\n", + "mpl.figure.prototype.send_message = function (type, properties) {\n", + " properties['type'] = type;\n", + " properties['figure_id'] = this.id;\n", + " this.ws.send(JSON.stringify(properties));\n", + "};\n", + "\n", + "mpl.figure.prototype.send_draw_message = function () {\n", + " if (!this.waiting) {\n", + " this.waiting = true;\n", + " this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_save = function (fig, _msg) {\n", + " var format_dropdown = fig.format_dropdown;\n", + " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n", + " fig.ondownload(fig, format);\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_resize = function (fig, msg) {\n", + " var size = msg['size'];\n", + " if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n", + " fig._resize_canvas(size[0], size[1], msg['forward']);\n", + " fig.send_message('refresh', {});\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n", + " var x0 = msg['x0'] / fig.ratio;\n", + " var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n", + " var x1 = msg['x1'] / fig.ratio;\n", + " var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n", + " x0 = Math.floor(x0) + 0.5;\n", + " y0 = Math.floor(y0) + 0.5;\n", + " x1 = Math.floor(x1) + 0.5;\n", + " y1 = Math.floor(y1) + 0.5;\n", + " var min_x = Math.min(x0, x1);\n", + " var min_y = Math.min(y0, y1);\n", + " var width = Math.abs(x1 - x0);\n", + " var height = Math.abs(y1 - y0);\n", + "\n", + " fig.rubberband_context.clearRect(\n", + " 0,\n", + " 0,\n", + " fig.canvas.width / fig.ratio,\n", + " fig.canvas.height / fig.ratio\n", + " );\n", + "\n", + " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n", + " // Updates the figure title.\n", + " fig.header.textContent = msg['label'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n", + " var cursor = msg['cursor'];\n", + " switch (cursor) {\n", + " case 0:\n", + " cursor = 'pointer';\n", + " break;\n", + " case 1:\n", + " cursor = 'default';\n", + " break;\n", + " case 2:\n", + " cursor = 'crosshair';\n", + " break;\n", + " case 3:\n", + " cursor = 'move';\n", + " break;\n", + " }\n", + " fig.rubberband_canvas.style.cursor = cursor;\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_message = function (fig, msg) {\n", + " fig.message.textContent = msg['message'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n", + " // Request the server to send over a new figure.\n", + " fig.send_draw_message();\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n", + " fig.image_mode = msg['mode'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n", + " for (var key in msg) {\n", + " if (!(key in fig.buttons)) {\n", + " continue;\n", + " }\n", + " fig.buttons[key].disabled = !msg[key];\n", + " fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n", + " if (msg['mode'] === 'PAN') {\n", + " fig.buttons['Pan'].classList.add('active');\n", + " fig.buttons['Zoom'].classList.remove('active');\n", + " } else if (msg['mode'] === 'ZOOM') {\n", + " fig.buttons['Pan'].classList.remove('active');\n", + " fig.buttons['Zoom'].classList.add('active');\n", + " } else {\n", + " fig.buttons['Pan'].classList.remove('active');\n", + " fig.buttons['Zoom'].classList.remove('active');\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.updated_canvas_event = function () {\n", + " // Called whenever the canvas gets updated.\n", + " this.send_message('ack', {});\n", + "};\n", + "\n", + "// A function to construct a web socket function for onmessage handling.\n", + "// Called in the figure constructor.\n", + "mpl.figure.prototype._make_on_message_function = function (fig) {\n", + " return function socket_on_message(evt) {\n", + " if (evt.data instanceof Blob) {\n", + " /* 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", + "\n", + " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n", + " evt.data\n", + " );\n", + " fig.updated_canvas_event();\n", + " fig.waiting = false;\n", + " return;\n", + " } else if (\n", + " typeof evt.data === 'string' &&\n", + " evt.data.slice(0, 21) === 'data:image/png;base64'\n", + " ) {\n", + " fig.imageObj.src = evt.data;\n", + " fig.updated_canvas_event();\n", + " fig.waiting = false;\n", + " return;\n", + " }\n", + "\n", + " var msg = JSON.parse(evt.data);\n", + " var msg_type = msg['type'];\n", + "\n", + " // Call the \"handle_{type}\" callback, which takes\n", + " // the figure and JSON message as its only arguments.\n", + " try {\n", + " var callback = fig['handle_' + msg_type];\n", + " } catch (e) {\n", + " console.log(\n", + " \"No handler for the '\" + msg_type + \"' message type: \",\n", + " msg\n", + " );\n", + " return;\n", + " }\n", + "\n", + " if (callback) {\n", + " try {\n", + " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n", + " callback(fig, msg);\n", + " } catch (e) {\n", + " console.log(\n", + " \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n", + " e,\n", + " e.stack,\n", + " msg\n", + " );\n", + " }\n", + " }\n", + " };\n", + "};\n", + "\n", + "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n", + "mpl.findpos = function (e) {\n", + " //this section is from http://www.quirksmode.org/js/events_properties.html\n", + " var targ;\n", + " if (!e) {\n", + " e = window.event;\n", + " }\n", + " if (e.target) {\n", + " targ = e.target;\n", + " } else if (e.srcElement) {\n", + " targ = e.srcElement;\n", + " }\n", + " if (targ.nodeType === 3) {\n", + " // defeat Safari bug\n", + " targ = targ.parentNode;\n", + " }\n", + "\n", + " // pageX,Y are the mouse positions relative to the document\n", + " var boundingRect = targ.getBoundingClientRect();\n", + " var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n", + " var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n", + "\n", + " return { x: x, y: y };\n", + "};\n", + "\n", + "/*\n", + " * return a copy of an object with only non-object keys\n", + " * we need this to avoid circular references\n", + " * http://stackoverflow.com/a/24161582/3208463\n", + " */\n", + "function simpleKeys(original) {\n", + " return Object.keys(original).reduce(function (obj, key) {\n", + " if (typeof original[key] !== 'object') {\n", + " obj[key] = original[key];\n", + " }\n", + " return obj;\n", + " }, {});\n", + "}\n", + "\n", + "mpl.figure.prototype.mouse_event = function (event, name) {\n", + " var canvas_pos = mpl.findpos(event);\n", + "\n", + " if (name === 'button_press') {\n", + " this.canvas.focus();\n", + " this.canvas_div.focus();\n", + " }\n", + "\n", + " var x = canvas_pos.x * this.ratio;\n", + " var y = canvas_pos.y * this.ratio;\n", + "\n", + " this.send_message(name, {\n", + " x: x,\n", + " y: y,\n", + " button: event.button,\n", + " step: event.step,\n", + " guiEvent: simpleKeys(event),\n", + " });\n", + "\n", + " /* This prevents the web browser from automatically changing to\n", + " * the text insertion cursor when the button is pressed. We want\n", + " * to control all of the cursor setting manually through the\n", + " * 'cursor' event from matplotlib */\n", + " event.preventDefault();\n", + " return false;\n", + "};\n", + "\n", + "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n", + " // Handle any extra behaviour associated with a key event\n", + "};\n", + "\n", + "mpl.figure.prototype.key_event = function (event, name) {\n", + " // Prevent repeat events\n", + " if (name === 'key_press') {\n", + " if (event.which === this._key) {\n", + " return;\n", + " } else {\n", + " this._key = event.which;\n", + " }\n", + " }\n", + " if (name === 'key_release') {\n", + " this._key = null;\n", + " }\n", + "\n", + " var value = '';\n", + " if (event.ctrlKey && event.which !== 17) {\n", + " value += 'ctrl+';\n", + " }\n", + " if (event.altKey && event.which !== 18) {\n", + " value += 'alt+';\n", + " }\n", + " if (event.shiftKey && event.which !== 16) {\n", + " value += 'shift+';\n", + " }\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, guiEvent: simpleKeys(event) });\n", + " return false;\n", + "};\n", + "\n", + "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n", + " if (name === 'download') {\n", + " this.handle_save(this, null);\n", + " } else {\n", + " this.send_message('toolbar_button', { name: name });\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n", + " this.message.textContent = tooltip;\n", + "};\n", + "\n", + "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n", + "// prettier-ignore\n", + "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n", + "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n", + "\n", + "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n", + "\n", + "mpl.default_extension = \"png\";/* global mpl */\n", + "\n", + "var comm_websocket_adapter = function (comm) {\n", + " // Create a \"websocket\"-like object which calls the given IPython comm\n", + " // object with the appropriate methods. Currently this is a non binary\n", + " // socket, so there is still some room for performance tuning.\n", + " var ws = {};\n", + "\n", + " ws.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 overridden (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 = document.getElementById(id);\n", + " var ws_proxy = comm_websocket_adapter(comm);\n", + "\n", + " function ondownload(figure, _format) {\n", + " window.open(figure.canvas.toDataURL());\n", + " }\n", + "\n", + " var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n", + "\n", + " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n", + " // web socket which is closed, not our websocket->open comm proxy.\n", + " ws_proxy.onopen();\n", + "\n", + " fig.parent_element = element;\n", + " fig.cell_info = mpl.find_output_cell(\"
\");\n", + " if (!fig.cell_info) {\n", + " console.error('Failed to find cell for figure', id, fig);\n", + " return;\n", + " }\n", + " fig.cell_info[0].output_area.element.on(\n", + " 'cleared',\n", + " { fig: fig },\n", + " fig._remove_fig_handler\n", + " );\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_close = function (fig, msg) {\n", + " var width = fig.canvas.width / fig.ratio;\n", + " fig.cell_info[0].output_area.element.off(\n", + " 'cleared',\n", + " fig._remove_fig_handler\n", + " );\n", + " fig.resizeObserverInstance.unobserve(fig.canvas_div);\n", + "\n", + " // Update the output cell to use the data from the current canvas.\n", + " fig.push_to_output();\n", + " var dataURL = fig.canvas.toDataURL();\n", + " // Re-enable the keyboard manager in IPython - without this line, in FF,\n", + " // the notebook keyboard shortcuts fail.\n", + " IPython.keyboard_manager.enable();\n", + " fig.parent_element.innerHTML =\n", + " '';\n", + " fig.close_ws(fig, msg);\n", + "};\n", + "\n", + "mpl.figure.prototype.close_ws = function (fig, msg) {\n", + " fig.send_message('closing', msg);\n", + " // fig.ws.close()\n", + "};\n", + "\n", + "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n", + " // Turn the data on the canvas into data in the output cell.\n", + " var width = this.canvas.width / this.ratio;\n", + " var dataURL = this.canvas.toDataURL();\n", + " this.cell_info[1]['text/html'] =\n", + " '';\n", + "};\n", + "\n", + "mpl.figure.prototype.updated_canvas_event = function () {\n", + " // Tell IPython that the notebook contents must change.\n", + " IPython.notebook.set_dirty(true);\n", + " this.send_message('ack', {});\n", + " var fig = this;\n", + " // Wait a second, then push the new image to the DOM so\n", + " // that it is saved nicely (might be nice to debounce this).\n", + " setTimeout(function () {\n", + " fig.push_to_output();\n", + " }, 1000);\n", + "};\n", + "\n", + "mpl.figure.prototype._init_toolbar = function () {\n", + " var fig = this;\n", + "\n", + " var toolbar = document.createElement('div');\n", + " toolbar.classList = 'btn-toolbar';\n", + " this.root.appendChild(toolbar);\n", + "\n", + " function on_click_closure(name) {\n", + " return function (_event) {\n", + " return fig.toolbar_button_onclick(name);\n", + " };\n", + " }\n", + "\n", + " function on_mouseover_closure(tooltip) {\n", + " return function (event) {\n", + " if (!event.currentTarget.disabled) {\n", + " return fig.toolbar_button_onmouseover(tooltip);\n", + " }\n", + " };\n", + " }\n", + "\n", + " fig.buttons = {};\n", + " var buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'btn-group';\n", + " var button;\n", + " for (var toolbar_ind in mpl.toolbar_items) {\n", + " var name = mpl.toolbar_items[toolbar_ind][0];\n", + " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", + " var image = mpl.toolbar_items[toolbar_ind][2];\n", + " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", + "\n", + " if (!name) {\n", + " /* Instead of a spacer, we start a new button group. */\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + " buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'btn-group';\n", + " continue;\n", + " }\n", + "\n", + " button = fig.buttons[name] = document.createElement('button');\n", + " button.classList = 'btn btn-default';\n", + " button.href = '#';\n", + " button.title = name;\n", + " button.innerHTML = '';\n", + " button.addEventListener('click', on_click_closure(method_name));\n", + " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", + " buttonGroup.appendChild(button);\n", + " }\n", + "\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + "\n", + " // Add the status bar.\n", + " var status_bar = document.createElement('span');\n", + " status_bar.classList = 'mpl-message pull-right';\n", + " toolbar.appendChild(status_bar);\n", + " this.message = status_bar;\n", + "\n", + " // Add the close button to the window.\n", + " var buttongrp = document.createElement('div');\n", + " buttongrp.classList = 'btn-group inline pull-right';\n", + " button = document.createElement('button');\n", + " button.classList = 'btn btn-mini btn-primary';\n", + " button.href = '#';\n", + " button.title = 'Stop Interaction';\n", + " button.innerHTML = '';\n", + " button.addEventListener('click', function (_evt) {\n", + " fig.handle_close(fig, {});\n", + " });\n", + " button.addEventListener(\n", + " 'mouseover',\n", + " on_mouseover_closure('Stop Interaction')\n", + " );\n", + " buttongrp.appendChild(button);\n", + " var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n", + " titlebar.insertBefore(buttongrp, titlebar.firstChild);\n", + "};\n", + "\n", + "mpl.figure.prototype._remove_fig_handler = function (event) {\n", + " var fig = event.data.fig;\n", + " if (event.target !== this) {\n", + " // Ignore bubbled events from children.\n", + " return;\n", + " }\n", + " fig.close_ws(fig, {});\n", + "};\n", + "\n", + "mpl.figure.prototype._root_extra_style = function (el) {\n", + " el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n", + "};\n", + "\n", + "mpl.figure.prototype._canvas_extra_style = function (el) {\n", + " // this is important to make the div 'focusable\n", + " el.setAttribute('tabindex', 0);\n", + " // reach out to IPython and tell the keyboard manager to turn it's self\n", + " // off when our div gets focus\n", + "\n", + " // location in version 3\n", + " if (IPython.notebook.keyboard_manager) {\n", + " IPython.notebook.keyboard_manager.register_events(el);\n", + " } else {\n", + " // location in version 2\n", + " IPython.keyboard_manager.register_events(el);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype._key_event_extra = function (event, _name) {\n", + " var manager = IPython.notebook.keyboard_manager;\n", + " if (!manager) {\n", + " manager = IPython.keyboard_manager;\n", + " }\n", + "\n", + " // Check for shift+enter\n", + " if (event.shiftKey && event.which === 13) {\n", + " this.canvas_div.blur();\n", + " // select the cell after this one\n", + " var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n", + " IPython.notebook.select(index + 1);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_save = function (fig, _msg) {\n", + " fig.ondownload(fig, null);\n", + "};\n", + "\n", + "mpl.find_output_cell = function (html_output) {\n", + " // Return the cell and output element which can be found *uniquely* in the notebook.\n", + " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n", + " // IPython event is triggered only after the cells have been serialised, which for\n", + " // our purposes (turning an active figure into a static one), is too late.\n", + " var cells = IPython.notebook.get_cells();\n", + " var ncells = cells.length;\n", + " for (var i = 0; i < ncells; i++) {\n", + " var cell = cells[i];\n", + " if (cell.cell_type === 'code') {\n", + " for (var j = 0; j < cell.output_area.outputs.length; j++) {\n", + " var data = cell.output_area.outputs[j];\n", + " if (data.data) {\n", + " // IPython >= 3 moved mimebundle to data attribute of output\n", + " data = data.data;\n", + " }\n", + " if (data['text/html'] === html_output) {\n", + " return [cell, data, j];\n", + " }\n", + " }\n", + " }\n", + " }\n", + "};\n", + "\n", + "// Register the function which deals with the matplotlib target/channel.\n", + "// The kernel may be null if the page has been refreshed.\n", + "if (IPython.notebook.kernel !== null) {\n", + " IPython.notebook.kernel.comm_manager.register_target(\n", + " 'matplotlib',\n", + " mpl.mpl_figure_comm\n", + " );\n", + "}\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Skymap\n", + "array.display('skymap')" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "application/javascript": [ + "/* Put everything inside the global mpl namespace */\n", + "/* global mpl */\n", + "window.mpl = {};\n", + "\n", + "mpl.get_websocket_type = function () {\n", + " if (typeof WebSocket !== 'undefined') {\n", + " return WebSocket;\n", + " } else if (typeof MozWebSocket !== 'undefined') {\n", + " return MozWebSocket;\n", + " } else {\n", + " alert(\n", + " 'Your browser does not have WebSocket support. ' +\n", + " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n", + " 'Firefox 4 and 5 are also supported but you ' +\n", + " 'have to enable WebSockets in about:config.'\n", + " );\n", + " }\n", + "};\n", + "\n", + "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n", + " this.id = figure_id;\n", + "\n", + " this.ws = websocket;\n", + "\n", + " this.supports_binary = this.ws.binaryType !== undefined;\n", + "\n", + " if (!this.supports_binary) {\n", + " var warnings = document.getElementById('mpl-warnings');\n", + " if (warnings) {\n", + " warnings.style.display = 'block';\n", + " warnings.textContent =\n", + " 'This browser does not support binary websocket messages. ' +\n", + " 'Performance may be slow.';\n", + " }\n", + " }\n", + "\n", + " this.imageObj = new Image();\n", + "\n", + " this.context = undefined;\n", + " this.message = undefined;\n", + " this.canvas = undefined;\n", + " this.rubberband_canvas = undefined;\n", + " this.rubberband_context = undefined;\n", + " this.format_dropdown = undefined;\n", + "\n", + " this.image_mode = 'full';\n", + "\n", + " this.root = document.createElement('div');\n", + " this.root.setAttribute('style', 'display: inline-block');\n", + " this._root_extra_style(this.root);\n", + "\n", + " parent_element.appendChild(this.root);\n", + "\n", + " this._init_header(this);\n", + " this._init_canvas(this);\n", + " this._init_toolbar(this);\n", + "\n", + " var fig = this;\n", + "\n", + " this.waiting = false;\n", + "\n", + " this.ws.onopen = function () {\n", + " fig.send_message('supports_binary', { value: fig.supports_binary });\n", + " fig.send_message('send_image_mode', {});\n", + " if (fig.ratio !== 1) {\n", + " fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n", + " }\n", + " fig.send_message('refresh', {});\n", + " };\n", + "\n", + " this.imageObj.onload = function () {\n", + " if (fig.image_mode === 'full') {\n", + " // Full images could contain transparency (where diff images\n", + " // almost always do), so we need to clear the canvas so that\n", + " // there is no ghosting.\n", + " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n", + " }\n", + " fig.context.drawImage(fig.imageObj, 0, 0);\n", + " };\n", + "\n", + " this.imageObj.onunload = function () {\n", + " fig.ws.close();\n", + " };\n", + "\n", + " this.ws.onmessage = this._make_on_message_function(this);\n", + "\n", + " this.ondownload = ondownload;\n", + "};\n", + "\n", + "mpl.figure.prototype._init_header = function () {\n", + " var titlebar = document.createElement('div');\n", + " titlebar.classList =\n", + " 'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n", + " var titletext = document.createElement('div');\n", + " titletext.classList = 'ui-dialog-title';\n", + " titletext.setAttribute(\n", + " 'style',\n", + " 'width: 100%; text-align: center; padding: 3px;'\n", + " );\n", + " titlebar.appendChild(titletext);\n", + " this.root.appendChild(titlebar);\n", + " this.header = titletext;\n", + "};\n", + "\n", + "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n", + "\n", + "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n", + "\n", + "mpl.figure.prototype._init_canvas = function () {\n", + " var fig = this;\n", + "\n", + " var canvas_div = (this.canvas_div = document.createElement('div'));\n", + " canvas_div.setAttribute(\n", + " 'style',\n", + " 'border: 1px solid #ddd;' +\n", + " 'box-sizing: content-box;' +\n", + " 'clear: both;' +\n", + " 'min-height: 1px;' +\n", + " 'min-width: 1px;' +\n", + " 'outline: 0;' +\n", + " 'overflow: hidden;' +\n", + " 'position: relative;' +\n", + " 'resize: both;'\n", + " );\n", + "\n", + " function on_keyboard_event_closure(name) {\n", + " return function (event) {\n", + " return fig.key_event(event, name);\n", + " };\n", + " }\n", + "\n", + " canvas_div.addEventListener(\n", + " 'keydown',\n", + " on_keyboard_event_closure('key_press')\n", + " );\n", + " canvas_div.addEventListener(\n", + " 'keyup',\n", + " on_keyboard_event_closure('key_release')\n", + " );\n", + "\n", + " this._canvas_extra_style(canvas_div);\n", + " this.root.appendChild(canvas_div);\n", + "\n", + " var canvas = (this.canvas = document.createElement('canvas'));\n", + " canvas.classList.add('mpl-canvas');\n", + " canvas.setAttribute('style', 'box-sizing: content-box;');\n", + "\n", + " this.context = canvas.getContext('2d');\n", + "\n", + " var backingStore =\n", + " this.context.backingStorePixelRatio ||\n", + " this.context.webkitBackingStorePixelRatio ||\n", + " this.context.mozBackingStorePixelRatio ||\n", + " this.context.msBackingStorePixelRatio ||\n", + " this.context.oBackingStorePixelRatio ||\n", + " this.context.backingStorePixelRatio ||\n", + " 1;\n", + "\n", + " this.ratio = (window.devicePixelRatio || 1) / backingStore;\n", + " if (this.ratio !== 1) {\n", + " fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n", + " }\n", + "\n", + " var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n", + " 'canvas'\n", + " ));\n", + " rubberband_canvas.setAttribute(\n", + " 'style',\n", + " 'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n", + " );\n", + "\n", + " // Apply a ponyfill if ResizeObserver is not implemented by browser.\n", + " if (this.ResizeObserver === undefined) {\n", + " if (window.ResizeObserver !== undefined) {\n", + " this.ResizeObserver = window.ResizeObserver;\n", + " } else {\n", + " var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n", + " this.ResizeObserver = obs.ResizeObserver;\n", + " }\n", + " }\n", + "\n", + " this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n", + " var nentries = entries.length;\n", + " for (var i = 0; i < nentries; i++) {\n", + " var entry = entries[i];\n", + " var width, height;\n", + " if (entry.contentBoxSize) {\n", + " if (entry.contentBoxSize instanceof Array) {\n", + " // Chrome 84 implements new version of spec.\n", + " width = entry.contentBoxSize[0].inlineSize;\n", + " height = entry.contentBoxSize[0].blockSize;\n", + " } else {\n", + " // Firefox implements old version of spec.\n", + " width = entry.contentBoxSize.inlineSize;\n", + " height = entry.contentBoxSize.blockSize;\n", + " }\n", + " } else {\n", + " // Chrome <84 implements even older version of spec.\n", + " width = entry.contentRect.width;\n", + " height = entry.contentRect.height;\n", + " }\n", + "\n", + " // Keep the size of the canvas and rubber band canvas in sync with\n", + " // the canvas container.\n", + " if (entry.devicePixelContentBoxSize) {\n", + " // Chrome 84 implements new version of spec.\n", + " canvas.setAttribute(\n", + " 'width',\n", + " entry.devicePixelContentBoxSize[0].inlineSize\n", + " );\n", + " canvas.setAttribute(\n", + " 'height',\n", + " entry.devicePixelContentBoxSize[0].blockSize\n", + " );\n", + " } else {\n", + " canvas.setAttribute('width', width * fig.ratio);\n", + " canvas.setAttribute('height', height * fig.ratio);\n", + " }\n", + " canvas.setAttribute(\n", + " 'style',\n", + " 'width: ' + width + 'px; height: ' + height + 'px;'\n", + " );\n", + "\n", + " rubberband_canvas.setAttribute('width', width);\n", + " rubberband_canvas.setAttribute('height', height);\n", + "\n", + " // And update the size in Python. We ignore the initial 0/0 size\n", + " // that occurs as the element is placed into the DOM, which should\n", + " // otherwise not happen due to the minimum size styling.\n", + " if (width != 0 && height != 0) {\n", + " fig.request_resize(width, height);\n", + " }\n", + " }\n", + " });\n", + " this.resizeObserverInstance.observe(canvas_div);\n", + "\n", + " function on_mouse_event_closure(name) {\n", + " return function (event) {\n", + " return fig.mouse_event(event, name);\n", + " };\n", + " }\n", + "\n", + " rubberband_canvas.addEventListener(\n", + " 'mousedown',\n", + " on_mouse_event_closure('button_press')\n", + " );\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseup',\n", + " on_mouse_event_closure('button_release')\n", + " );\n", + " // Throttle sequential mouse events to 1 every 20ms.\n", + " rubberband_canvas.addEventListener(\n", + " 'mousemove',\n", + " on_mouse_event_closure('motion_notify')\n", + " );\n", + "\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseenter',\n", + " on_mouse_event_closure('figure_enter')\n", + " );\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseleave',\n", + " on_mouse_event_closure('figure_leave')\n", + " );\n", + "\n", + " canvas_div.addEventListener('wheel', function (event) {\n", + " if (event.deltaY < 0) {\n", + " event.step = 1;\n", + " } else {\n", + " event.step = -1;\n", + " }\n", + " on_mouse_event_closure('scroll')(event);\n", + " });\n", + "\n", + " canvas_div.appendChild(canvas);\n", + " canvas_div.appendChild(rubberband_canvas);\n", + "\n", + " this.rubberband_context = rubberband_canvas.getContext('2d');\n", + " this.rubberband_context.strokeStyle = '#000000';\n", + "\n", + " this._resize_canvas = function (width, height, forward) {\n", + " if (forward) {\n", + " canvas_div.style.width = width + 'px';\n", + " canvas_div.style.height = height + 'px';\n", + " }\n", + " };\n", + "\n", + " // Disable right mouse context menu.\n", + " this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n", + " event.preventDefault();\n", + " return false;\n", + " });\n", + "\n", + " function set_focus() {\n", + " canvas.focus();\n", + " canvas_div.focus();\n", + " }\n", + "\n", + " window.setTimeout(set_focus, 100);\n", + "};\n", + "\n", + "mpl.figure.prototype._init_toolbar = function () {\n", + " var fig = this;\n", + "\n", + " var toolbar = document.createElement('div');\n", + " toolbar.classList = 'mpl-toolbar';\n", + " this.root.appendChild(toolbar);\n", + "\n", + " function on_click_closure(name) {\n", + " return function (_event) {\n", + " return fig.toolbar_button_onclick(name);\n", + " };\n", + " }\n", + "\n", + " function on_mouseover_closure(tooltip) {\n", + " return function (event) {\n", + " if (!event.currentTarget.disabled) {\n", + " return fig.toolbar_button_onmouseover(tooltip);\n", + " }\n", + " };\n", + " }\n", + "\n", + " fig.buttons = {};\n", + " var buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'mpl-button-group';\n", + " for (var toolbar_ind in mpl.toolbar_items) {\n", + " var name = mpl.toolbar_items[toolbar_ind][0];\n", + " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", + " var image = mpl.toolbar_items[toolbar_ind][2];\n", + " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", + "\n", + " if (!name) {\n", + " /* Instead of a spacer, we start a new button group. */\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + " buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'mpl-button-group';\n", + " continue;\n", + " }\n", + "\n", + " var button = (fig.buttons[name] = document.createElement('button'));\n", + " button.classList = 'mpl-widget';\n", + " button.setAttribute('role', 'button');\n", + " button.setAttribute('aria-disabled', 'false');\n", + " button.addEventListener('click', on_click_closure(method_name));\n", + " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", + "\n", + " var icon_img = document.createElement('img');\n", + " icon_img.src = '_images/' + image + '.png';\n", + " icon_img.srcset = '_images/' + image + '_large.png 2x';\n", + " icon_img.alt = tooltip;\n", + " button.appendChild(icon_img);\n", + "\n", + " buttonGroup.appendChild(button);\n", + " }\n", + "\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + "\n", + " var fmt_picker = document.createElement('select');\n", + " fmt_picker.classList = 'mpl-widget';\n", + " toolbar.appendChild(fmt_picker);\n", + " this.format_dropdown = fmt_picker;\n", + "\n", + " for (var ind in mpl.extensions) {\n", + " var fmt = mpl.extensions[ind];\n", + " var option = document.createElement('option');\n", + " option.selected = fmt === mpl.default_extension;\n", + " option.innerHTML = fmt;\n", + " fmt_picker.appendChild(option);\n", + " }\n", + "\n", + " var status_bar = document.createElement('span');\n", + " status_bar.classList = 'mpl-message';\n", + " toolbar.appendChild(status_bar);\n", + " this.message = status_bar;\n", + "};\n", + "\n", + "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n", + " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n", + " // which will in turn request a refresh of the image.\n", + " this.send_message('resize', { width: x_pixels, height: y_pixels });\n", + "};\n", + "\n", + "mpl.figure.prototype.send_message = function (type, properties) {\n", + " properties['type'] = type;\n", + " properties['figure_id'] = this.id;\n", + " this.ws.send(JSON.stringify(properties));\n", + "};\n", + "\n", + "mpl.figure.prototype.send_draw_message = function () {\n", + " if (!this.waiting) {\n", + " this.waiting = true;\n", + " this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_save = function (fig, _msg) {\n", + " var format_dropdown = fig.format_dropdown;\n", + " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n", + " fig.ondownload(fig, format);\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_resize = function (fig, msg) {\n", + " var size = msg['size'];\n", + " if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n", + " fig._resize_canvas(size[0], size[1], msg['forward']);\n", + " fig.send_message('refresh', {});\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n", + " var x0 = msg['x0'] / fig.ratio;\n", + " var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n", + " var x1 = msg['x1'] / fig.ratio;\n", + " var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n", + " x0 = Math.floor(x0) + 0.5;\n", + " y0 = Math.floor(y0) + 0.5;\n", + " x1 = Math.floor(x1) + 0.5;\n", + " y1 = Math.floor(y1) + 0.5;\n", + " var min_x = Math.min(x0, x1);\n", + " var min_y = Math.min(y0, y1);\n", + " var width = Math.abs(x1 - x0);\n", + " var height = Math.abs(y1 - y0);\n", + "\n", + " fig.rubberband_context.clearRect(\n", + " 0,\n", + " 0,\n", + " fig.canvas.width / fig.ratio,\n", + " fig.canvas.height / fig.ratio\n", + " );\n", + "\n", + " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n", + " // Updates the figure title.\n", + " fig.header.textContent = msg['label'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n", + " var cursor = msg['cursor'];\n", + " switch (cursor) {\n", + " case 0:\n", + " cursor = 'pointer';\n", + " break;\n", + " case 1:\n", + " cursor = 'default';\n", + " break;\n", + " case 2:\n", + " cursor = 'crosshair';\n", + " break;\n", + " case 3:\n", + " cursor = 'move';\n", + " break;\n", + " }\n", + " fig.rubberband_canvas.style.cursor = cursor;\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_message = function (fig, msg) {\n", + " fig.message.textContent = msg['message'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n", + " // Request the server to send over a new figure.\n", + " fig.send_draw_message();\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n", + " fig.image_mode = msg['mode'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n", + " for (var key in msg) {\n", + " if (!(key in fig.buttons)) {\n", + " continue;\n", + " }\n", + " fig.buttons[key].disabled = !msg[key];\n", + " fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n", + " if (msg['mode'] === 'PAN') {\n", + " fig.buttons['Pan'].classList.add('active');\n", + " fig.buttons['Zoom'].classList.remove('active');\n", + " } else if (msg['mode'] === 'ZOOM') {\n", + " fig.buttons['Pan'].classList.remove('active');\n", + " fig.buttons['Zoom'].classList.add('active');\n", + " } else {\n", + " fig.buttons['Pan'].classList.remove('active');\n", + " fig.buttons['Zoom'].classList.remove('active');\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.updated_canvas_event = function () {\n", + " // Called whenever the canvas gets updated.\n", + " this.send_message('ack', {});\n", + "};\n", + "\n", + "// A function to construct a web socket function for onmessage handling.\n", + "// Called in the figure constructor.\n", + "mpl.figure.prototype._make_on_message_function = function (fig) {\n", + " return function socket_on_message(evt) {\n", + " if (evt.data instanceof Blob) {\n", + " /* 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", + "\n", + " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n", + " evt.data\n", + " );\n", + " fig.updated_canvas_event();\n", + " fig.waiting = false;\n", + " return;\n", + " } else if (\n", + " typeof evt.data === 'string' &&\n", + " evt.data.slice(0, 21) === 'data:image/png;base64'\n", + " ) {\n", + " fig.imageObj.src = evt.data;\n", + " fig.updated_canvas_event();\n", + " fig.waiting = false;\n", + " return;\n", + " }\n", + "\n", + " var msg = JSON.parse(evt.data);\n", + " var msg_type = msg['type'];\n", + "\n", + " // Call the \"handle_{type}\" callback, which takes\n", + " // the figure and JSON message as its only arguments.\n", + " try {\n", + " var callback = fig['handle_' + msg_type];\n", + " } catch (e) {\n", + " console.log(\n", + " \"No handler for the '\" + msg_type + \"' message type: \",\n", + " msg\n", + " );\n", + " return;\n", + " }\n", + "\n", + " if (callback) {\n", + " try {\n", + " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n", + " callback(fig, msg);\n", + " } catch (e) {\n", + " console.log(\n", + " \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n", + " e,\n", + " e.stack,\n", + " msg\n", + " );\n", + " }\n", + " }\n", + " };\n", + "};\n", + "\n", + "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n", + "mpl.findpos = function (e) {\n", + " //this section is from http://www.quirksmode.org/js/events_properties.html\n", + " var targ;\n", + " if (!e) {\n", + " e = window.event;\n", + " }\n", + " if (e.target) {\n", + " targ = e.target;\n", + " } else if (e.srcElement) {\n", + " targ = e.srcElement;\n", + " }\n", + " if (targ.nodeType === 3) {\n", + " // defeat Safari bug\n", + " targ = targ.parentNode;\n", + " }\n", + "\n", + " // pageX,Y are the mouse positions relative to the document\n", + " var boundingRect = targ.getBoundingClientRect();\n", + " var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n", + " var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n", + "\n", + " return { x: x, y: y };\n", + "};\n", + "\n", + "/*\n", + " * return a copy of an object with only non-object keys\n", + " * we need this to avoid circular references\n", + " * http://stackoverflow.com/a/24161582/3208463\n", + " */\n", + "function simpleKeys(original) {\n", + " return Object.keys(original).reduce(function (obj, key) {\n", + " if (typeof original[key] !== 'object') {\n", + " obj[key] = original[key];\n", + " }\n", + " return obj;\n", + " }, {});\n", + "}\n", + "\n", + "mpl.figure.prototype.mouse_event = function (event, name) {\n", + " var canvas_pos = mpl.findpos(event);\n", + "\n", + " if (name === 'button_press') {\n", + " this.canvas.focus();\n", + " this.canvas_div.focus();\n", + " }\n", + "\n", + " var x = canvas_pos.x * this.ratio;\n", + " var y = canvas_pos.y * this.ratio;\n", + "\n", + " this.send_message(name, {\n", + " x: x,\n", + " y: y,\n", + " button: event.button,\n", + " step: event.step,\n", + " guiEvent: simpleKeys(event),\n", + " });\n", + "\n", + " /* This prevents the web browser from automatically changing to\n", + " * the text insertion cursor when the button is pressed. We want\n", + " * to control all of the cursor setting manually through the\n", + " * 'cursor' event from matplotlib */\n", + " event.preventDefault();\n", + " return false;\n", + "};\n", + "\n", + "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n", + " // Handle any extra behaviour associated with a key event\n", + "};\n", + "\n", + "mpl.figure.prototype.key_event = function (event, name) {\n", + " // Prevent repeat events\n", + " if (name === 'key_press') {\n", + " if (event.which === this._key) {\n", + " return;\n", + " } else {\n", + " this._key = event.which;\n", + " }\n", + " }\n", + " if (name === 'key_release') {\n", + " this._key = null;\n", + " }\n", + "\n", + " var value = '';\n", + " if (event.ctrlKey && event.which !== 17) {\n", + " value += 'ctrl+';\n", + " }\n", + " if (event.altKey && event.which !== 18) {\n", + " value += 'alt+';\n", + " }\n", + " if (event.shiftKey && event.which !== 16) {\n", + " value += 'shift+';\n", + " }\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, guiEvent: simpleKeys(event) });\n", + " return false;\n", + "};\n", + "\n", + "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n", + " if (name === 'download') {\n", + " this.handle_save(this, null);\n", + " } else {\n", + " this.send_message('toolbar_button', { name: name });\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n", + " this.message.textContent = tooltip;\n", + "};\n", + "\n", + "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n", + "// prettier-ignore\n", + "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n", + "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n", + "\n", + "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n", + "\n", + "mpl.default_extension = \"png\";/* global mpl */\n", + "\n", + "var comm_websocket_adapter = function (comm) {\n", + " // Create a \"websocket\"-like object which calls the given IPython comm\n", + " // object with the appropriate methods. Currently this is a non binary\n", + " // socket, so there is still some room for performance tuning.\n", + " var ws = {};\n", + "\n", + " ws.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 overridden (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 = document.getElementById(id);\n", + " var ws_proxy = comm_websocket_adapter(comm);\n", + "\n", + " function ondownload(figure, _format) {\n", + " window.open(figure.canvas.toDataURL());\n", + " }\n", + "\n", + " var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n", + "\n", + " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n", + " // web socket which is closed, not our websocket->open comm proxy.\n", + " ws_proxy.onopen();\n", + "\n", + " fig.parent_element = element;\n", + " fig.cell_info = mpl.find_output_cell(\"
\");\n", + " if (!fig.cell_info) {\n", + " console.error('Failed to find cell for figure', id, fig);\n", + " return;\n", + " }\n", + " fig.cell_info[0].output_area.element.on(\n", + " 'cleared',\n", + " { fig: fig },\n", + " fig._remove_fig_handler\n", + " );\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_close = function (fig, msg) {\n", + " var width = fig.canvas.width / fig.ratio;\n", + " fig.cell_info[0].output_area.element.off(\n", + " 'cleared',\n", + " fig._remove_fig_handler\n", + " );\n", + " fig.resizeObserverInstance.unobserve(fig.canvas_div);\n", + "\n", + " // Update the output cell to use the data from the current canvas.\n", + " fig.push_to_output();\n", + " var dataURL = fig.canvas.toDataURL();\n", + " // Re-enable the keyboard manager in IPython - without this line, in FF,\n", + " // the notebook keyboard shortcuts fail.\n", + " IPython.keyboard_manager.enable();\n", + " fig.parent_element.innerHTML =\n", + " '';\n", + " fig.close_ws(fig, msg);\n", + "};\n", + "\n", + "mpl.figure.prototype.close_ws = function (fig, msg) {\n", + " fig.send_message('closing', msg);\n", + " // fig.ws.close()\n", + "};\n", + "\n", + "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n", + " // Turn the data on the canvas into data in the output cell.\n", + " var width = this.canvas.width / this.ratio;\n", + " var dataURL = this.canvas.toDataURL();\n", + " this.cell_info[1]['text/html'] =\n", + " '';\n", + "};\n", + "\n", + "mpl.figure.prototype.updated_canvas_event = function () {\n", + " // Tell IPython that the notebook contents must change.\n", + " IPython.notebook.set_dirty(true);\n", + " this.send_message('ack', {});\n", + " var fig = this;\n", + " // Wait a second, then push the new image to the DOM so\n", + " // that it is saved nicely (might be nice to debounce this).\n", + " setTimeout(function () {\n", + " fig.push_to_output();\n", + " }, 1000);\n", + "};\n", + "\n", + "mpl.figure.prototype._init_toolbar = function () {\n", + " var fig = this;\n", + "\n", + " var toolbar = document.createElement('div');\n", + " toolbar.classList = 'btn-toolbar';\n", + " this.root.appendChild(toolbar);\n", + "\n", + " function on_click_closure(name) {\n", + " return function (_event) {\n", + " return fig.toolbar_button_onclick(name);\n", + " };\n", + " }\n", + "\n", + " function on_mouseover_closure(tooltip) {\n", + " return function (event) {\n", + " if (!event.currentTarget.disabled) {\n", + " return fig.toolbar_button_onmouseover(tooltip);\n", + " }\n", + " };\n", + " }\n", + "\n", + " fig.buttons = {};\n", + " var buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'btn-group';\n", + " var button;\n", + " for (var toolbar_ind in mpl.toolbar_items) {\n", + " var name = mpl.toolbar_items[toolbar_ind][0];\n", + " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", + " var image = mpl.toolbar_items[toolbar_ind][2];\n", + " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", + "\n", + " if (!name) {\n", + " /* Instead of a spacer, we start a new button group. */\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + " buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'btn-group';\n", + " continue;\n", + " }\n", + "\n", + " button = fig.buttons[name] = document.createElement('button');\n", + " button.classList = 'btn btn-default';\n", + " button.href = '#';\n", + " button.title = name;\n", + " button.innerHTML = '';\n", + " button.addEventListener('click', on_click_closure(method_name));\n", + " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", + " buttonGroup.appendChild(button);\n", + " }\n", + "\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + "\n", + " // Add the status bar.\n", + " var status_bar = document.createElement('span');\n", + " status_bar.classList = 'mpl-message pull-right';\n", + " toolbar.appendChild(status_bar);\n", + " this.message = status_bar;\n", + "\n", + " // Add the close button to the window.\n", + " var buttongrp = document.createElement('div');\n", + " buttongrp.classList = 'btn-group inline pull-right';\n", + " button = document.createElement('button');\n", + " button.classList = 'btn btn-mini btn-primary';\n", + " button.href = '#';\n", + " button.title = 'Stop Interaction';\n", + " button.innerHTML = '';\n", + " button.addEventListener('click', function (_evt) {\n", + " fig.handle_close(fig, {});\n", + " });\n", + " button.addEventListener(\n", + " 'mouseover',\n", + " on_mouseover_closure('Stop Interaction')\n", + " );\n", + " buttongrp.appendChild(button);\n", + " var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n", + " titlebar.insertBefore(buttongrp, titlebar.firstChild);\n", + "};\n", + "\n", + "mpl.figure.prototype._remove_fig_handler = function (event) {\n", + " var fig = event.data.fig;\n", + " if (event.target !== this) {\n", + " // Ignore bubbled events from children.\n", + " return;\n", + " }\n", + " fig.close_ws(fig, {});\n", + "};\n", + "\n", + "mpl.figure.prototype._root_extra_style = function (el) {\n", + " el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n", + "};\n", + "\n", + "mpl.figure.prototype._canvas_extra_style = function (el) {\n", + " // this is important to make the div 'focusable\n", + " el.setAttribute('tabindex', 0);\n", + " // reach out to IPython and tell the keyboard manager to turn it's self\n", + " // off when our div gets focus\n", + "\n", + " // location in version 3\n", + " if (IPython.notebook.keyboard_manager) {\n", + " IPython.notebook.keyboard_manager.register_events(el);\n", + " } else {\n", + " // location in version 2\n", + " IPython.keyboard_manager.register_events(el);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype._key_event_extra = function (event, _name) {\n", + " var manager = IPython.notebook.keyboard_manager;\n", + " if (!manager) {\n", + " manager = IPython.keyboard_manager;\n", + " }\n", + "\n", + " // Check for shift+enter\n", + " if (event.shiftKey && event.which === 13) {\n", + " this.canvas_div.blur();\n", + " // select the cell after this one\n", + " var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n", + " IPython.notebook.select(index + 1);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_save = function (fig, _msg) {\n", + " fig.ondownload(fig, null);\n", + "};\n", + "\n", + "mpl.find_output_cell = function (html_output) {\n", + " // Return the cell and output element which can be found *uniquely* in the notebook.\n", + " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n", + " // IPython event is triggered only after the cells have been serialised, which for\n", + " // our purposes (turning an active figure into a static one), is too late.\n", + " var cells = IPython.notebook.get_cells();\n", + " var ncells = cells.length;\n", + " for (var i = 0; i < ncells; i++) {\n", + " var cell = cells[i];\n", + " if (cell.cell_type === 'code') {\n", + " for (var j = 0; j < cell.output_area.outputs.length; j++) {\n", + " var data = cell.output_area.outputs[j];\n", + " if (data.data) {\n", + " // IPython >= 3 moved mimebundle to data attribute of output\n", + " data = data.data;\n", + " }\n", + " if (data['text/html'] === html_output) {\n", + " return [cell, data, j];\n", + " }\n", + " }\n", + " }\n", + " }\n", + "};\n", + "\n", + "// Register the function which deals with the matplotlib target/channel.\n", + "// The kernel may be null if the page has been refreshed.\n", + "if (IPython.notebook.kernel !== null) {\n", + " IPython.notebook.kernel.comm_manager.register_target(\n", + " 'matplotlib',\n", + " mpl.mpl_figure_comm\n", + " );\n", + "}\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Multiplicity plot\n", + "array.multiplicity_plot()" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "application/javascript": [ + "/* Put everything inside the global mpl namespace */\n", + "/* global mpl */\n", + "window.mpl = {};\n", + "\n", + "mpl.get_websocket_type = function () {\n", + " if (typeof WebSocket !== 'undefined') {\n", + " return WebSocket;\n", + " } else if (typeof MozWebSocket !== 'undefined') {\n", + " return MozWebSocket;\n", + " } else {\n", + " alert(\n", + " 'Your browser does not have WebSocket support. ' +\n", + " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n", + " 'Firefox 4 and 5 are also supported but you ' +\n", + " 'have to enable WebSockets in about:config.'\n", + " );\n", + " }\n", + "};\n", + "\n", + "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n", + " this.id = figure_id;\n", + "\n", + " this.ws = websocket;\n", + "\n", + " this.supports_binary = this.ws.binaryType !== undefined;\n", + "\n", + " if (!this.supports_binary) {\n", + " var warnings = document.getElementById('mpl-warnings');\n", + " if (warnings) {\n", + " warnings.style.display = 'block';\n", + " warnings.textContent =\n", + " 'This browser does not support binary websocket messages. ' +\n", + " 'Performance may be slow.';\n", + " }\n", + " }\n", + "\n", + " this.imageObj = new Image();\n", + "\n", + " this.context = undefined;\n", + " this.message = undefined;\n", + " this.canvas = undefined;\n", + " this.rubberband_canvas = undefined;\n", + " this.rubberband_context = undefined;\n", + " this.format_dropdown = undefined;\n", + "\n", + " this.image_mode = 'full';\n", + "\n", + " this.root = document.createElement('div');\n", + " this.root.setAttribute('style', 'display: inline-block');\n", + " this._root_extra_style(this.root);\n", + "\n", + " parent_element.appendChild(this.root);\n", + "\n", + " this._init_header(this);\n", + " this._init_canvas(this);\n", + " this._init_toolbar(this);\n", + "\n", + " var fig = this;\n", + "\n", + " this.waiting = false;\n", + "\n", + " this.ws.onopen = function () {\n", + " fig.send_message('supports_binary', { value: fig.supports_binary });\n", + " fig.send_message('send_image_mode', {});\n", + " if (fig.ratio !== 1) {\n", + " fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n", + " }\n", + " fig.send_message('refresh', {});\n", + " };\n", + "\n", + " this.imageObj.onload = function () {\n", + " if (fig.image_mode === 'full') {\n", + " // Full images could contain transparency (where diff images\n", + " // almost always do), so we need to clear the canvas so that\n", + " // there is no ghosting.\n", + " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n", + " }\n", + " fig.context.drawImage(fig.imageObj, 0, 0);\n", + " };\n", + "\n", + " this.imageObj.onunload = function () {\n", + " fig.ws.close();\n", + " };\n", + "\n", + " this.ws.onmessage = this._make_on_message_function(this);\n", + "\n", + " this.ondownload = ondownload;\n", + "};\n", + "\n", + "mpl.figure.prototype._init_header = function () {\n", + " var titlebar = document.createElement('div');\n", + " titlebar.classList =\n", + " 'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n", + " var titletext = document.createElement('div');\n", + " titletext.classList = 'ui-dialog-title';\n", + " titletext.setAttribute(\n", + " 'style',\n", + " 'width: 100%; text-align: center; padding: 3px;'\n", + " );\n", + " titlebar.appendChild(titletext);\n", + " this.root.appendChild(titlebar);\n", + " this.header = titletext;\n", + "};\n", + "\n", + "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n", + "\n", + "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n", + "\n", + "mpl.figure.prototype._init_canvas = function () {\n", + " var fig = this;\n", + "\n", + " var canvas_div = (this.canvas_div = document.createElement('div'));\n", + " canvas_div.setAttribute(\n", + " 'style',\n", + " 'border: 1px solid #ddd;' +\n", + " 'box-sizing: content-box;' +\n", + " 'clear: both;' +\n", + " 'min-height: 1px;' +\n", + " 'min-width: 1px;' +\n", + " 'outline: 0;' +\n", + " 'overflow: hidden;' +\n", + " 'position: relative;' +\n", + " 'resize: both;'\n", + " );\n", + "\n", + " function on_keyboard_event_closure(name) {\n", + " return function (event) {\n", + " return fig.key_event(event, name);\n", + " };\n", + " }\n", + "\n", + " canvas_div.addEventListener(\n", + " 'keydown',\n", + " on_keyboard_event_closure('key_press')\n", + " );\n", + " canvas_div.addEventListener(\n", + " 'keyup',\n", + " on_keyboard_event_closure('key_release')\n", + " );\n", + "\n", + " this._canvas_extra_style(canvas_div);\n", + " this.root.appendChild(canvas_div);\n", + "\n", + " var canvas = (this.canvas = document.createElement('canvas'));\n", + " canvas.classList.add('mpl-canvas');\n", + " canvas.setAttribute('style', 'box-sizing: content-box;');\n", + "\n", + " this.context = canvas.getContext('2d');\n", + "\n", + " var backingStore =\n", + " this.context.backingStorePixelRatio ||\n", + " this.context.webkitBackingStorePixelRatio ||\n", + " this.context.mozBackingStorePixelRatio ||\n", + " this.context.msBackingStorePixelRatio ||\n", + " this.context.oBackingStorePixelRatio ||\n", + " this.context.backingStorePixelRatio ||\n", + " 1;\n", + "\n", + " this.ratio = (window.devicePixelRatio || 1) / backingStore;\n", + " if (this.ratio !== 1) {\n", + " fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n", + " }\n", + "\n", + " var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n", + " 'canvas'\n", + " ));\n", + " rubberband_canvas.setAttribute(\n", + " 'style',\n", + " 'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n", + " );\n", + "\n", + " // Apply a ponyfill if ResizeObserver is not implemented by browser.\n", + " if (this.ResizeObserver === undefined) {\n", + " if (window.ResizeObserver !== undefined) {\n", + " this.ResizeObserver = window.ResizeObserver;\n", + " } else {\n", + " var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n", + " this.ResizeObserver = obs.ResizeObserver;\n", + " }\n", + " }\n", + "\n", + " this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n", + " var nentries = entries.length;\n", + " for (var i = 0; i < nentries; i++) {\n", + " var entry = entries[i];\n", + " var width, height;\n", + " if (entry.contentBoxSize) {\n", + " if (entry.contentBoxSize instanceof Array) {\n", + " // Chrome 84 implements new version of spec.\n", + " width = entry.contentBoxSize[0].inlineSize;\n", + " height = entry.contentBoxSize[0].blockSize;\n", + " } else {\n", + " // Firefox implements old version of spec.\n", + " width = entry.contentBoxSize.inlineSize;\n", + " height = entry.contentBoxSize.blockSize;\n", + " }\n", + " } else {\n", + " // Chrome <84 implements even older version of spec.\n", + " width = entry.contentRect.width;\n", + " height = entry.contentRect.height;\n", + " }\n", + "\n", + " // Keep the size of the canvas and rubber band canvas in sync with\n", + " // the canvas container.\n", + " if (entry.devicePixelContentBoxSize) {\n", + " // Chrome 84 implements new version of spec.\n", + " canvas.setAttribute(\n", + " 'width',\n", + " entry.devicePixelContentBoxSize[0].inlineSize\n", + " );\n", + " canvas.setAttribute(\n", + " 'height',\n", + " entry.devicePixelContentBoxSize[0].blockSize\n", + " );\n", + " } else {\n", + " canvas.setAttribute('width', width * fig.ratio);\n", + " canvas.setAttribute('height', height * fig.ratio);\n", + " }\n", + " canvas.setAttribute(\n", + " 'style',\n", + " 'width: ' + width + 'px; height: ' + height + 'px;'\n", + " );\n", + "\n", + " rubberband_canvas.setAttribute('width', width);\n", + " rubberband_canvas.setAttribute('height', height);\n", + "\n", + " // And update the size in Python. We ignore the initial 0/0 size\n", + " // that occurs as the element is placed into the DOM, which should\n", + " // otherwise not happen due to the minimum size styling.\n", + " if (width != 0 && height != 0) {\n", + " fig.request_resize(width, height);\n", + " }\n", + " }\n", + " });\n", + " this.resizeObserverInstance.observe(canvas_div);\n", + "\n", + " function on_mouse_event_closure(name) {\n", + " return function (event) {\n", + " return fig.mouse_event(event, name);\n", + " };\n", + " }\n", + "\n", + " rubberband_canvas.addEventListener(\n", + " 'mousedown',\n", + " on_mouse_event_closure('button_press')\n", + " );\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseup',\n", + " on_mouse_event_closure('button_release')\n", + " );\n", + " // Throttle sequential mouse events to 1 every 20ms.\n", + " rubberband_canvas.addEventListener(\n", + " 'mousemove',\n", + " on_mouse_event_closure('motion_notify')\n", + " );\n", + "\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseenter',\n", + " on_mouse_event_closure('figure_enter')\n", + " );\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseleave',\n", + " on_mouse_event_closure('figure_leave')\n", + " );\n", + "\n", + " canvas_div.addEventListener('wheel', function (event) {\n", + " if (event.deltaY < 0) {\n", + " event.step = 1;\n", + " } else {\n", + " event.step = -1;\n", + " }\n", + " on_mouse_event_closure('scroll')(event);\n", + " });\n", + "\n", + " canvas_div.appendChild(canvas);\n", + " canvas_div.appendChild(rubberband_canvas);\n", + "\n", + " this.rubberband_context = rubberband_canvas.getContext('2d');\n", + " this.rubberband_context.strokeStyle = '#000000';\n", + "\n", + " this._resize_canvas = function (width, height, forward) {\n", + " if (forward) {\n", + " canvas_div.style.width = width + 'px';\n", + " canvas_div.style.height = height + 'px';\n", + " }\n", + " };\n", + "\n", + " // Disable right mouse context menu.\n", + " this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n", + " event.preventDefault();\n", + " return false;\n", + " });\n", + "\n", + " function set_focus() {\n", + " canvas.focus();\n", + " canvas_div.focus();\n", + " }\n", + "\n", + " window.setTimeout(set_focus, 100);\n", + "};\n", + "\n", + "mpl.figure.prototype._init_toolbar = function () {\n", + " var fig = this;\n", + "\n", + " var toolbar = document.createElement('div');\n", + " toolbar.classList = 'mpl-toolbar';\n", + " this.root.appendChild(toolbar);\n", + "\n", + " function on_click_closure(name) {\n", + " return function (_event) {\n", + " return fig.toolbar_button_onclick(name);\n", + " };\n", + " }\n", + "\n", + " function on_mouseover_closure(tooltip) {\n", + " return function (event) {\n", + " if (!event.currentTarget.disabled) {\n", + " return fig.toolbar_button_onmouseover(tooltip);\n", + " }\n", + " };\n", + " }\n", + "\n", + " fig.buttons = {};\n", + " var buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'mpl-button-group';\n", + " for (var toolbar_ind in mpl.toolbar_items) {\n", + " var name = mpl.toolbar_items[toolbar_ind][0];\n", + " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", + " var image = mpl.toolbar_items[toolbar_ind][2];\n", + " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", + "\n", + " if (!name) {\n", + " /* Instead of a spacer, we start a new button group. */\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + " buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'mpl-button-group';\n", + " continue;\n", + " }\n", + "\n", + " var button = (fig.buttons[name] = document.createElement('button'));\n", + " button.classList = 'mpl-widget';\n", + " button.setAttribute('role', 'button');\n", + " button.setAttribute('aria-disabled', 'false');\n", + " button.addEventListener('click', on_click_closure(method_name));\n", + " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", + "\n", + " var icon_img = document.createElement('img');\n", + " icon_img.src = '_images/' + image + '.png';\n", + " icon_img.srcset = '_images/' + image + '_large.png 2x';\n", + " icon_img.alt = tooltip;\n", + " button.appendChild(icon_img);\n", + "\n", + " buttonGroup.appendChild(button);\n", + " }\n", + "\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + "\n", + " var fmt_picker = document.createElement('select');\n", + " fmt_picker.classList = 'mpl-widget';\n", + " toolbar.appendChild(fmt_picker);\n", + " this.format_dropdown = fmt_picker;\n", + "\n", + " for (var ind in mpl.extensions) {\n", + " var fmt = mpl.extensions[ind];\n", + " var option = document.createElement('option');\n", + " option.selected = fmt === mpl.default_extension;\n", + " option.innerHTML = fmt;\n", + " fmt_picker.appendChild(option);\n", + " }\n", + "\n", + " var status_bar = document.createElement('span');\n", + " status_bar.classList = 'mpl-message';\n", + " toolbar.appendChild(status_bar);\n", + " this.message = status_bar;\n", + "};\n", + "\n", + "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n", + " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n", + " // which will in turn request a refresh of the image.\n", + " this.send_message('resize', { width: x_pixels, height: y_pixels });\n", + "};\n", + "\n", + "mpl.figure.prototype.send_message = function (type, properties) {\n", + " properties['type'] = type;\n", + " properties['figure_id'] = this.id;\n", + " this.ws.send(JSON.stringify(properties));\n", + "};\n", + "\n", + "mpl.figure.prototype.send_draw_message = function () {\n", + " if (!this.waiting) {\n", + " this.waiting = true;\n", + " this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_save = function (fig, _msg) {\n", + " var format_dropdown = fig.format_dropdown;\n", + " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n", + " fig.ondownload(fig, format);\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_resize = function (fig, msg) {\n", + " var size = msg['size'];\n", + " if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n", + " fig._resize_canvas(size[0], size[1], msg['forward']);\n", + " fig.send_message('refresh', {});\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n", + " var x0 = msg['x0'] / fig.ratio;\n", + " var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n", + " var x1 = msg['x1'] / fig.ratio;\n", + " var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n", + " x0 = Math.floor(x0) + 0.5;\n", + " y0 = Math.floor(y0) + 0.5;\n", + " x1 = Math.floor(x1) + 0.5;\n", + " y1 = Math.floor(y1) + 0.5;\n", + " var min_x = Math.min(x0, x1);\n", + " var min_y = Math.min(y0, y1);\n", + " var width = Math.abs(x1 - x0);\n", + " var height = Math.abs(y1 - y0);\n", + "\n", + " fig.rubberband_context.clearRect(\n", + " 0,\n", + " 0,\n", + " fig.canvas.width / fig.ratio,\n", + " fig.canvas.height / fig.ratio\n", + " );\n", + "\n", + " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n", + " // Updates the figure title.\n", + " fig.header.textContent = msg['label'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n", + " var cursor = msg['cursor'];\n", + " switch (cursor) {\n", + " case 0:\n", + " cursor = 'pointer';\n", + " break;\n", + " case 1:\n", + " cursor = 'default';\n", + " break;\n", + " case 2:\n", + " cursor = 'crosshair';\n", + " break;\n", + " case 3:\n", + " cursor = 'move';\n", + " break;\n", + " }\n", + " fig.rubberband_canvas.style.cursor = cursor;\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_message = function (fig, msg) {\n", + " fig.message.textContent = msg['message'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n", + " // Request the server to send over a new figure.\n", + " fig.send_draw_message();\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n", + " fig.image_mode = msg['mode'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n", + " for (var key in msg) {\n", + " if (!(key in fig.buttons)) {\n", + " continue;\n", + " }\n", + " fig.buttons[key].disabled = !msg[key];\n", + " fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n", + " if (msg['mode'] === 'PAN') {\n", + " fig.buttons['Pan'].classList.add('active');\n", + " fig.buttons['Zoom'].classList.remove('active');\n", + " } else if (msg['mode'] === 'ZOOM') {\n", + " fig.buttons['Pan'].classList.remove('active');\n", + " fig.buttons['Zoom'].classList.add('active');\n", + " } else {\n", + " fig.buttons['Pan'].classList.remove('active');\n", + " fig.buttons['Zoom'].classList.remove('active');\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.updated_canvas_event = function () {\n", + " // Called whenever the canvas gets updated.\n", + " this.send_message('ack', {});\n", + "};\n", + "\n", + "// A function to construct a web socket function for onmessage handling.\n", + "// Called in the figure constructor.\n", + "mpl.figure.prototype._make_on_message_function = function (fig) {\n", + " return function socket_on_message(evt) {\n", + " if (evt.data instanceof Blob) {\n", + " /* 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", + "\n", + " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n", + " evt.data\n", + " );\n", + " fig.updated_canvas_event();\n", + " fig.waiting = false;\n", + " return;\n", + " } else if (\n", + " typeof evt.data === 'string' &&\n", + " evt.data.slice(0, 21) === 'data:image/png;base64'\n", + " ) {\n", + " fig.imageObj.src = evt.data;\n", + " fig.updated_canvas_event();\n", + " fig.waiting = false;\n", + " return;\n", + " }\n", + "\n", + " var msg = JSON.parse(evt.data);\n", + " var msg_type = msg['type'];\n", + "\n", + " // Call the \"handle_{type}\" callback, which takes\n", + " // the figure and JSON message as its only arguments.\n", + " try {\n", + " var callback = fig['handle_' + msg_type];\n", + " } catch (e) {\n", + " console.log(\n", + " \"No handler for the '\" + msg_type + \"' message type: \",\n", + " msg\n", + " );\n", + " return;\n", + " }\n", + "\n", + " if (callback) {\n", + " try {\n", + " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n", + " callback(fig, msg);\n", + " } catch (e) {\n", + " console.log(\n", + " \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n", + " e,\n", + " e.stack,\n", + " msg\n", + " );\n", + " }\n", + " }\n", + " };\n", + "};\n", + "\n", + "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n", + "mpl.findpos = function (e) {\n", + " //this section is from http://www.quirksmode.org/js/events_properties.html\n", + " var targ;\n", + " if (!e) {\n", + " e = window.event;\n", + " }\n", + " if (e.target) {\n", + " targ = e.target;\n", + " } else if (e.srcElement) {\n", + " targ = e.srcElement;\n", + " }\n", + " if (targ.nodeType === 3) {\n", + " // defeat Safari bug\n", + " targ = targ.parentNode;\n", + " }\n", + "\n", + " // pageX,Y are the mouse positions relative to the document\n", + " var boundingRect = targ.getBoundingClientRect();\n", + " var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n", + " var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n", + "\n", + " return { x: x, y: y };\n", + "};\n", + "\n", + "/*\n", + " * return a copy of an object with only non-object keys\n", + " * we need this to avoid circular references\n", + " * http://stackoverflow.com/a/24161582/3208463\n", + " */\n", + "function simpleKeys(original) {\n", + " return Object.keys(original).reduce(function (obj, key) {\n", + " if (typeof original[key] !== 'object') {\n", + " obj[key] = original[key];\n", + " }\n", + " return obj;\n", + " }, {});\n", + "}\n", + "\n", + "mpl.figure.prototype.mouse_event = function (event, name) {\n", + " var canvas_pos = mpl.findpos(event);\n", + "\n", + " if (name === 'button_press') {\n", + " this.canvas.focus();\n", + " this.canvas_div.focus();\n", + " }\n", + "\n", + " var x = canvas_pos.x * this.ratio;\n", + " var y = canvas_pos.y * this.ratio;\n", + "\n", + " this.send_message(name, {\n", + " x: x,\n", + " y: y,\n", + " button: event.button,\n", + " step: event.step,\n", + " guiEvent: simpleKeys(event),\n", + " });\n", + "\n", + " /* This prevents the web browser from automatically changing to\n", + " * the text insertion cursor when the button is pressed. We want\n", + " * to control all of the cursor setting manually through the\n", + " * 'cursor' event from matplotlib */\n", + " event.preventDefault();\n", + " return false;\n", + "};\n", + "\n", + "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n", + " // Handle any extra behaviour associated with a key event\n", + "};\n", + "\n", + "mpl.figure.prototype.key_event = function (event, name) {\n", + " // Prevent repeat events\n", + " if (name === 'key_press') {\n", + " if (event.which === this._key) {\n", + " return;\n", + " } else {\n", + " this._key = event.which;\n", + " }\n", + " }\n", + " if (name === 'key_release') {\n", + " this._key = null;\n", + " }\n", + "\n", + " var value = '';\n", + " if (event.ctrlKey && event.which !== 17) {\n", + " value += 'ctrl+';\n", + " }\n", + " if (event.altKey && event.which !== 18) {\n", + " value += 'alt+';\n", + " }\n", + " if (event.shiftKey && event.which !== 16) {\n", + " value += 'shift+';\n", + " }\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, guiEvent: simpleKeys(event) });\n", + " return false;\n", + "};\n", + "\n", + "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n", + " if (name === 'download') {\n", + " this.handle_save(this, null);\n", + " } else {\n", + " this.send_message('toolbar_button', { name: name });\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n", + " this.message.textContent = tooltip;\n", + "};\n", + "\n", + "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n", + "// prettier-ignore\n", + "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n", + "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n", + "\n", + "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n", + "\n", + "mpl.default_extension = \"png\";/* global mpl */\n", + "\n", + "var comm_websocket_adapter = function (comm) {\n", + " // Create a \"websocket\"-like object which calls the given IPython comm\n", + " // object with the appropriate methods. Currently this is a non binary\n", + " // socket, so there is still some room for performance tuning.\n", + " var ws = {};\n", + "\n", + " ws.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 overridden (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 = document.getElementById(id);\n", + " var ws_proxy = comm_websocket_adapter(comm);\n", + "\n", + " function ondownload(figure, _format) {\n", + " window.open(figure.canvas.toDataURL());\n", + " }\n", + "\n", + " var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n", + "\n", + " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n", + " // web socket which is closed, not our websocket->open comm proxy.\n", + " ws_proxy.onopen();\n", + "\n", + " fig.parent_element = element;\n", + " fig.cell_info = mpl.find_output_cell(\"
\");\n", + " if (!fig.cell_info) {\n", + " console.error('Failed to find cell for figure', id, fig);\n", + " return;\n", + " }\n", + " fig.cell_info[0].output_area.element.on(\n", + " 'cleared',\n", + " { fig: fig },\n", + " fig._remove_fig_handler\n", + " );\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_close = function (fig, msg) {\n", + " var width = fig.canvas.width / fig.ratio;\n", + " fig.cell_info[0].output_area.element.off(\n", + " 'cleared',\n", + " fig._remove_fig_handler\n", + " );\n", + " fig.resizeObserverInstance.unobserve(fig.canvas_div);\n", + "\n", + " // Update the output cell to use the data from the current canvas.\n", + " fig.push_to_output();\n", + " var dataURL = fig.canvas.toDataURL();\n", + " // Re-enable the keyboard manager in IPython - without this line, in FF,\n", + " // the notebook keyboard shortcuts fail.\n", + " IPython.keyboard_manager.enable();\n", + " fig.parent_element.innerHTML =\n", + " '';\n", + " fig.close_ws(fig, msg);\n", + "};\n", + "\n", + "mpl.figure.prototype.close_ws = function (fig, msg) {\n", + " fig.send_message('closing', msg);\n", + " // fig.ws.close()\n", + "};\n", + "\n", + "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n", + " // Turn the data on the canvas into data in the output cell.\n", + " var width = this.canvas.width / this.ratio;\n", + " var dataURL = this.canvas.toDataURL();\n", + " this.cell_info[1]['text/html'] =\n", + " '';\n", + "};\n", + "\n", + "mpl.figure.prototype.updated_canvas_event = function () {\n", + " // Tell IPython that the notebook contents must change.\n", + " IPython.notebook.set_dirty(true);\n", + " this.send_message('ack', {});\n", + " var fig = this;\n", + " // Wait a second, then push the new image to the DOM so\n", + " // that it is saved nicely (might be nice to debounce this).\n", + " setTimeout(function () {\n", + " fig.push_to_output();\n", + " }, 1000);\n", + "};\n", + "\n", + "mpl.figure.prototype._init_toolbar = function () {\n", + " var fig = this;\n", + "\n", + " var toolbar = document.createElement('div');\n", + " toolbar.classList = 'btn-toolbar';\n", + " this.root.appendChild(toolbar);\n", + "\n", + " function on_click_closure(name) {\n", + " return function (_event) {\n", + " return fig.toolbar_button_onclick(name);\n", + " };\n", + " }\n", + "\n", + " function on_mouseover_closure(tooltip) {\n", + " return function (event) {\n", + " if (!event.currentTarget.disabled) {\n", + " return fig.toolbar_button_onmouseover(tooltip);\n", + " }\n", + " };\n", + " }\n", + "\n", + " fig.buttons = {};\n", + " var buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'btn-group';\n", + " var button;\n", + " for (var toolbar_ind in mpl.toolbar_items) {\n", + " var name = mpl.toolbar_items[toolbar_ind][0];\n", + " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", + " var image = mpl.toolbar_items[toolbar_ind][2];\n", + " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", + "\n", + " if (!name) {\n", + " /* Instead of a spacer, we start a new button group. */\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + " buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'btn-group';\n", + " continue;\n", + " }\n", + "\n", + " button = fig.buttons[name] = document.createElement('button');\n", + " button.classList = 'btn btn-default';\n", + " button.href = '#';\n", + " button.title = name;\n", + " button.innerHTML = '';\n", + " button.addEventListener('click', on_click_closure(method_name));\n", + " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", + " buttonGroup.appendChild(button);\n", + " }\n", + "\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + "\n", + " // Add the status bar.\n", + " var status_bar = document.createElement('span');\n", + " status_bar.classList = 'mpl-message pull-right';\n", + " toolbar.appendChild(status_bar);\n", + " this.message = status_bar;\n", + "\n", + " // Add the close button to the window.\n", + " var buttongrp = document.createElement('div');\n", + " buttongrp.classList = 'btn-group inline pull-right';\n", + " button = document.createElement('button');\n", + " button.classList = 'btn btn-mini btn-primary';\n", + " button.href = '#';\n", + " button.title = 'Stop Interaction';\n", + " button.innerHTML = '';\n", + " button.addEventListener('click', function (_evt) {\n", + " fig.handle_close(fig, {});\n", + " });\n", + " button.addEventListener(\n", + " 'mouseover',\n", + " on_mouseover_closure('Stop Interaction')\n", + " );\n", + " buttongrp.appendChild(button);\n", + " var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n", + " titlebar.insertBefore(buttongrp, titlebar.firstChild);\n", + "};\n", + "\n", + "mpl.figure.prototype._remove_fig_handler = function (event) {\n", + " var fig = event.data.fig;\n", + " if (event.target !== this) {\n", + " // Ignore bubbled events from children.\n", + " return;\n", + " }\n", + " fig.close_ws(fig, {});\n", + "};\n", + "\n", + "mpl.figure.prototype._root_extra_style = function (el) {\n", + " el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n", + "};\n", + "\n", + "mpl.figure.prototype._canvas_extra_style = function (el) {\n", + " // this is important to make the div 'focusable\n", + " el.setAttribute('tabindex', 0);\n", + " // reach out to IPython and tell the keyboard manager to turn it's self\n", + " // off when our div gets focus\n", + "\n", + " // location in version 3\n", + " if (IPython.notebook.keyboard_manager) {\n", + " IPython.notebook.keyboard_manager.register_events(el);\n", + " } else {\n", + " // location in version 2\n", + " IPython.keyboard_manager.register_events(el);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype._key_event_extra = function (event, _name) {\n", + " var manager = IPython.notebook.keyboard_manager;\n", + " if (!manager) {\n", + " manager = IPython.keyboard_manager;\n", + " }\n", + "\n", + " // Check for shift+enter\n", + " if (event.shiftKey && event.which === 13) {\n", + " this.canvas_div.blur();\n", + " // select the cell after this one\n", + " var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n", + " IPython.notebook.select(index + 1);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_save = function (fig, _msg) {\n", + " fig.ondownload(fig, null);\n", + "};\n", + "\n", + "mpl.find_output_cell = function (html_output) {\n", + " // Return the cell and output element which can be found *uniquely* in the notebook.\n", + " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n", + " // IPython event is triggered only after the cells have been serialised, which for\n", + " // our purposes (turning an active figure into a static one), is too late.\n", + " var cells = IPython.notebook.get_cells();\n", + " var ncells = cells.length;\n", + " for (var i = 0; i < ncells; i++) {\n", + " var cell = cells[i];\n", + " if (cell.cell_type === 'code') {\n", + " for (var j = 0; j < cell.output_area.outputs.length; j++) {\n", + " var data = cell.output_area.outputs[j];\n", + " if (data.data) {\n", + " // IPython >= 3 moved mimebundle to data attribute of output\n", + " data = data.data;\n", + " }\n", + " if (data['text/html'] === html_output) {\n", + " return [cell, data, j];\n", + " }\n", + " }\n", + " }\n", + " }\n", + "};\n", + "\n", + "// Register the function which deals with the matplotlib target/channel.\n", + "// The kernel may be null if the page has been refreshed.\n", + "if (IPython.notebook.kernel !== null) {\n", + " IPython.notebook.kernel.comm_manager.register_target(\n", + " 'matplotlib',\n", + " mpl.mpl_figure_comm\n", + " );\n", + "}\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "No handles with labels found to put in legend.\n" + ] + } + ], + "source": [ + "# Multiplicity plot\n", + "array.skymap_polar()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Advanced display" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Interactive" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [], + "source": [ + "from ctadiv.ArrayConfig.visualization import *" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "application/javascript": [ + "/* Put everything inside the global mpl namespace */\n", + "/* global mpl */\n", + "window.mpl = {};\n", + "\n", + "mpl.get_websocket_type = function () {\n", + " if (typeof WebSocket !== 'undefined') {\n", + " return WebSocket;\n", + " } else if (typeof MozWebSocket !== 'undefined') {\n", + " return MozWebSocket;\n", + " } else {\n", + " alert(\n", + " 'Your browser does not have WebSocket support. ' +\n", + " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n", + " 'Firefox 4 and 5 are also supported but you ' +\n", + " 'have to enable WebSockets in about:config.'\n", + " );\n", + " }\n", + "};\n", + "\n", + "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n", + " this.id = figure_id;\n", + "\n", + " this.ws = websocket;\n", + "\n", + " this.supports_binary = this.ws.binaryType !== undefined;\n", + "\n", + " if (!this.supports_binary) {\n", + " var warnings = document.getElementById('mpl-warnings');\n", + " if (warnings) {\n", + " warnings.style.display = 'block';\n", + " warnings.textContent =\n", + " 'This browser does not support binary websocket messages. ' +\n", + " 'Performance may be slow.';\n", + " }\n", + " }\n", + "\n", + " this.imageObj = new Image();\n", + "\n", + " this.context = undefined;\n", + " this.message = undefined;\n", + " this.canvas = undefined;\n", + " this.rubberband_canvas = undefined;\n", + " this.rubberband_context = undefined;\n", + " this.format_dropdown = undefined;\n", + "\n", + " this.image_mode = 'full';\n", + "\n", + " this.root = document.createElement('div');\n", + " this.root.setAttribute('style', 'display: inline-block');\n", + " this._root_extra_style(this.root);\n", + "\n", + " parent_element.appendChild(this.root);\n", + "\n", + " this._init_header(this);\n", + " this._init_canvas(this);\n", + " this._init_toolbar(this);\n", + "\n", + " var fig = this;\n", + "\n", + " this.waiting = false;\n", + "\n", + " this.ws.onopen = function () {\n", + " fig.send_message('supports_binary', { value: fig.supports_binary });\n", + " fig.send_message('send_image_mode', {});\n", + " if (fig.ratio !== 1) {\n", + " fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n", + " }\n", + " fig.send_message('refresh', {});\n", + " };\n", + "\n", + " this.imageObj.onload = function () {\n", + " if (fig.image_mode === 'full') {\n", + " // Full images could contain transparency (where diff images\n", + " // almost always do), so we need to clear the canvas so that\n", + " // there is no ghosting.\n", + " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n", + " }\n", + " fig.context.drawImage(fig.imageObj, 0, 0);\n", + " };\n", + "\n", + " this.imageObj.onunload = function () {\n", + " fig.ws.close();\n", + " };\n", + "\n", + " this.ws.onmessage = this._make_on_message_function(this);\n", + "\n", + " this.ondownload = ondownload;\n", + "};\n", + "\n", + "mpl.figure.prototype._init_header = function () {\n", + " var titlebar = document.createElement('div');\n", + " titlebar.classList =\n", + " 'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n", + " var titletext = document.createElement('div');\n", + " titletext.classList = 'ui-dialog-title';\n", + " titletext.setAttribute(\n", + " 'style',\n", + " 'width: 100%; text-align: center; padding: 3px;'\n", + " );\n", + " titlebar.appendChild(titletext);\n", + " this.root.appendChild(titlebar);\n", + " this.header = titletext;\n", + "};\n", + "\n", + "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n", + "\n", + "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n", + "\n", + "mpl.figure.prototype._init_canvas = function () {\n", + " var fig = this;\n", + "\n", + " var canvas_div = (this.canvas_div = document.createElement('div'));\n", + " canvas_div.setAttribute(\n", + " 'style',\n", + " 'border: 1px solid #ddd;' +\n", + " 'box-sizing: content-box;' +\n", + " 'clear: both;' +\n", + " 'min-height: 1px;' +\n", + " 'min-width: 1px;' +\n", + " 'outline: 0;' +\n", + " 'overflow: hidden;' +\n", + " 'position: relative;' +\n", + " 'resize: both;'\n", + " );\n", + "\n", + " function on_keyboard_event_closure(name) {\n", + " return function (event) {\n", + " return fig.key_event(event, name);\n", + " };\n", + " }\n", + "\n", + " canvas_div.addEventListener(\n", + " 'keydown',\n", + " on_keyboard_event_closure('key_press')\n", + " );\n", + " canvas_div.addEventListener(\n", + " 'keyup',\n", + " on_keyboard_event_closure('key_release')\n", + " );\n", + "\n", + " this._canvas_extra_style(canvas_div);\n", + " this.root.appendChild(canvas_div);\n", + "\n", + " var canvas = (this.canvas = document.createElement('canvas'));\n", + " canvas.classList.add('mpl-canvas');\n", + " canvas.setAttribute('style', 'box-sizing: content-box;');\n", + "\n", + " this.context = canvas.getContext('2d');\n", + "\n", + " var backingStore =\n", + " this.context.backingStorePixelRatio ||\n", + " this.context.webkitBackingStorePixelRatio ||\n", + " this.context.mozBackingStorePixelRatio ||\n", + " this.context.msBackingStorePixelRatio ||\n", + " this.context.oBackingStorePixelRatio ||\n", + " this.context.backingStorePixelRatio ||\n", + " 1;\n", + "\n", + " this.ratio = (window.devicePixelRatio || 1) / backingStore;\n", + " if (this.ratio !== 1) {\n", + " fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n", + " }\n", + "\n", + " var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n", + " 'canvas'\n", + " ));\n", + " rubberband_canvas.setAttribute(\n", + " 'style',\n", + " 'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n", + " );\n", + "\n", + " // Apply a ponyfill if ResizeObserver is not implemented by browser.\n", + " if (this.ResizeObserver === undefined) {\n", + " if (window.ResizeObserver !== undefined) {\n", + " this.ResizeObserver = window.ResizeObserver;\n", + " } else {\n", + " var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n", + " this.ResizeObserver = obs.ResizeObserver;\n", + " }\n", + " }\n", + "\n", + " this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n", + " var nentries = entries.length;\n", + " for (var i = 0; i < nentries; i++) {\n", + " var entry = entries[i];\n", + " var width, height;\n", + " if (entry.contentBoxSize) {\n", + " if (entry.contentBoxSize instanceof Array) {\n", + " // Chrome 84 implements new version of spec.\n", + " width = entry.contentBoxSize[0].inlineSize;\n", + " height = entry.contentBoxSize[0].blockSize;\n", + " } else {\n", + " // Firefox implements old version of spec.\n", + " width = entry.contentBoxSize.inlineSize;\n", + " height = entry.contentBoxSize.blockSize;\n", + " }\n", + " } else {\n", + " // Chrome <84 implements even older version of spec.\n", + " width = entry.contentRect.width;\n", + " height = entry.contentRect.height;\n", + " }\n", + "\n", + " // Keep the size of the canvas and rubber band canvas in sync with\n", + " // the canvas container.\n", + " if (entry.devicePixelContentBoxSize) {\n", + " // Chrome 84 implements new version of spec.\n", + " canvas.setAttribute(\n", + " 'width',\n", + " entry.devicePixelContentBoxSize[0].inlineSize\n", + " );\n", + " canvas.setAttribute(\n", + " 'height',\n", + " entry.devicePixelContentBoxSize[0].blockSize\n", + " );\n", + " } else {\n", + " canvas.setAttribute('width', width * fig.ratio);\n", + " canvas.setAttribute('height', height * fig.ratio);\n", + " }\n", + " canvas.setAttribute(\n", + " 'style',\n", + " 'width: ' + width + 'px; height: ' + height + 'px;'\n", + " );\n", + "\n", + " rubberband_canvas.setAttribute('width', width);\n", + " rubberband_canvas.setAttribute('height', height);\n", + "\n", + " // And update the size in Python. We ignore the initial 0/0 size\n", + " // that occurs as the element is placed into the DOM, which should\n", + " // otherwise not happen due to the minimum size styling.\n", + " if (width != 0 && height != 0) {\n", + " fig.request_resize(width, height);\n", + " }\n", + " }\n", + " });\n", + " this.resizeObserverInstance.observe(canvas_div);\n", + "\n", + " function on_mouse_event_closure(name) {\n", + " return function (event) {\n", + " return fig.mouse_event(event, name);\n", + " };\n", + " }\n", + "\n", + " rubberband_canvas.addEventListener(\n", + " 'mousedown',\n", + " on_mouse_event_closure('button_press')\n", + " );\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseup',\n", + " on_mouse_event_closure('button_release')\n", + " );\n", + " // Throttle sequential mouse events to 1 every 20ms.\n", + " rubberband_canvas.addEventListener(\n", + " 'mousemove',\n", + " on_mouse_event_closure('motion_notify')\n", + " );\n", + "\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseenter',\n", + " on_mouse_event_closure('figure_enter')\n", + " );\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseleave',\n", + " on_mouse_event_closure('figure_leave')\n", + " );\n", + "\n", + " canvas_div.addEventListener('wheel', function (event) {\n", + " if (event.deltaY < 0) {\n", + " event.step = 1;\n", + " } else {\n", + " event.step = -1;\n", + " }\n", + " on_mouse_event_closure('scroll')(event);\n", + " });\n", + "\n", + " canvas_div.appendChild(canvas);\n", + " canvas_div.appendChild(rubberband_canvas);\n", + "\n", + " this.rubberband_context = rubberband_canvas.getContext('2d');\n", + " this.rubberband_context.strokeStyle = '#000000';\n", + "\n", + " this._resize_canvas = function (width, height, forward) {\n", + " if (forward) {\n", + " canvas_div.style.width = width + 'px';\n", + " canvas_div.style.height = height + 'px';\n", + " }\n", + " };\n", + "\n", + " // Disable right mouse context menu.\n", + " this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n", + " event.preventDefault();\n", + " return false;\n", + " });\n", + "\n", + " function set_focus() {\n", + " canvas.focus();\n", + " canvas_div.focus();\n", + " }\n", + "\n", + " window.setTimeout(set_focus, 100);\n", + "};\n", + "\n", + "mpl.figure.prototype._init_toolbar = function () {\n", + " var fig = this;\n", + "\n", + " var toolbar = document.createElement('div');\n", + " toolbar.classList = 'mpl-toolbar';\n", + " this.root.appendChild(toolbar);\n", + "\n", + " function on_click_closure(name) {\n", + " return function (_event) {\n", + " return fig.toolbar_button_onclick(name);\n", + " };\n", + " }\n", + "\n", + " function on_mouseover_closure(tooltip) {\n", + " return function (event) {\n", + " if (!event.currentTarget.disabled) {\n", + " return fig.toolbar_button_onmouseover(tooltip);\n", + " }\n", + " };\n", + " }\n", + "\n", + " fig.buttons = {};\n", + " var buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'mpl-button-group';\n", + " for (var toolbar_ind in mpl.toolbar_items) {\n", + " var name = mpl.toolbar_items[toolbar_ind][0];\n", + " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", + " var image = mpl.toolbar_items[toolbar_ind][2];\n", + " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", + "\n", + " if (!name) {\n", + " /* Instead of a spacer, we start a new button group. */\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + " buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'mpl-button-group';\n", + " continue;\n", + " }\n", + "\n", + " var button = (fig.buttons[name] = document.createElement('button'));\n", + " button.classList = 'mpl-widget';\n", + " button.setAttribute('role', 'button');\n", + " button.setAttribute('aria-disabled', 'false');\n", + " button.addEventListener('click', on_click_closure(method_name));\n", + " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", + "\n", + " var icon_img = document.createElement('img');\n", + " icon_img.src = '_images/' + image + '.png';\n", + " icon_img.srcset = '_images/' + image + '_large.png 2x';\n", + " icon_img.alt = tooltip;\n", + " button.appendChild(icon_img);\n", + "\n", + " buttonGroup.appendChild(button);\n", + " }\n", + "\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + "\n", + " var fmt_picker = document.createElement('select');\n", + " fmt_picker.classList = 'mpl-widget';\n", + " toolbar.appendChild(fmt_picker);\n", + " this.format_dropdown = fmt_picker;\n", + "\n", + " for (var ind in mpl.extensions) {\n", + " var fmt = mpl.extensions[ind];\n", + " var option = document.createElement('option');\n", + " option.selected = fmt === mpl.default_extension;\n", + " option.innerHTML = fmt;\n", + " fmt_picker.appendChild(option);\n", + " }\n", + "\n", + " var status_bar = document.createElement('span');\n", + " status_bar.classList = 'mpl-message';\n", + " toolbar.appendChild(status_bar);\n", + " this.message = status_bar;\n", + "};\n", + "\n", + "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n", + " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n", + " // which will in turn request a refresh of the image.\n", + " this.send_message('resize', { width: x_pixels, height: y_pixels });\n", + "};\n", + "\n", + "mpl.figure.prototype.send_message = function (type, properties) {\n", + " properties['type'] = type;\n", + " properties['figure_id'] = this.id;\n", + " this.ws.send(JSON.stringify(properties));\n", + "};\n", + "\n", + "mpl.figure.prototype.send_draw_message = function () {\n", + " if (!this.waiting) {\n", + " this.waiting = true;\n", + " this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_save = function (fig, _msg) {\n", + " var format_dropdown = fig.format_dropdown;\n", + " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n", + " fig.ondownload(fig, format);\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_resize = function (fig, msg) {\n", + " var size = msg['size'];\n", + " if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n", + " fig._resize_canvas(size[0], size[1], msg['forward']);\n", + " fig.send_message('refresh', {});\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n", + " var x0 = msg['x0'] / fig.ratio;\n", + " var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n", + " var x1 = msg['x1'] / fig.ratio;\n", + " var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n", + " x0 = Math.floor(x0) + 0.5;\n", + " y0 = Math.floor(y0) + 0.5;\n", + " x1 = Math.floor(x1) + 0.5;\n", + " y1 = Math.floor(y1) + 0.5;\n", + " var min_x = Math.min(x0, x1);\n", + " var min_y = Math.min(y0, y1);\n", + " var width = Math.abs(x1 - x0);\n", + " var height = Math.abs(y1 - y0);\n", + "\n", + " fig.rubberband_context.clearRect(\n", + " 0,\n", + " 0,\n", + " fig.canvas.width / fig.ratio,\n", + " fig.canvas.height / fig.ratio\n", + " );\n", + "\n", + " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n", + " // Updates the figure title.\n", + " fig.header.textContent = msg['label'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n", + " var cursor = msg['cursor'];\n", + " switch (cursor) {\n", + " case 0:\n", + " cursor = 'pointer';\n", + " break;\n", + " case 1:\n", + " cursor = 'default';\n", + " break;\n", + " case 2:\n", + " cursor = 'crosshair';\n", + " break;\n", + " case 3:\n", + " cursor = 'move';\n", + " break;\n", + " }\n", + " fig.rubberband_canvas.style.cursor = cursor;\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_message = function (fig, msg) {\n", + " fig.message.textContent = msg['message'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n", + " // Request the server to send over a new figure.\n", + " fig.send_draw_message();\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n", + " fig.image_mode = msg['mode'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n", + " for (var key in msg) {\n", + " if (!(key in fig.buttons)) {\n", + " continue;\n", + " }\n", + " fig.buttons[key].disabled = !msg[key];\n", + " fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n", + " if (msg['mode'] === 'PAN') {\n", + " fig.buttons['Pan'].classList.add('active');\n", + " fig.buttons['Zoom'].classList.remove('active');\n", + " } else if (msg['mode'] === 'ZOOM') {\n", + " fig.buttons['Pan'].classList.remove('active');\n", + " fig.buttons['Zoom'].classList.add('active');\n", + " } else {\n", + " fig.buttons['Pan'].classList.remove('active');\n", + " fig.buttons['Zoom'].classList.remove('active');\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.updated_canvas_event = function () {\n", + " // Called whenever the canvas gets updated.\n", + " this.send_message('ack', {});\n", + "};\n", + "\n", + "// A function to construct a web socket function for onmessage handling.\n", + "// Called in the figure constructor.\n", + "mpl.figure.prototype._make_on_message_function = function (fig) {\n", + " return function socket_on_message(evt) {\n", + " if (evt.data instanceof Blob) {\n", + " /* 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", + "\n", + " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n", + " evt.data\n", + " );\n", + " fig.updated_canvas_event();\n", + " fig.waiting = false;\n", + " return;\n", + " } else if (\n", + " typeof evt.data === 'string' &&\n", + " evt.data.slice(0, 21) === 'data:image/png;base64'\n", + " ) {\n", + " fig.imageObj.src = evt.data;\n", + " fig.updated_canvas_event();\n", + " fig.waiting = false;\n", + " return;\n", + " }\n", + "\n", + " var msg = JSON.parse(evt.data);\n", + " var msg_type = msg['type'];\n", + "\n", + " // Call the \"handle_{type}\" callback, which takes\n", + " // the figure and JSON message as its only arguments.\n", + " try {\n", + " var callback = fig['handle_' + msg_type];\n", + " } catch (e) {\n", + " console.log(\n", + " \"No handler for the '\" + msg_type + \"' message type: \",\n", + " msg\n", + " );\n", + " return;\n", + " }\n", + "\n", + " if (callback) {\n", + " try {\n", + " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n", + " callback(fig, msg);\n", + " } catch (e) {\n", + " console.log(\n", + " \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n", + " e,\n", + " e.stack,\n", + " msg\n", + " );\n", + " }\n", + " }\n", + " };\n", + "};\n", + "\n", + "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n", + "mpl.findpos = function (e) {\n", + " //this section is from http://www.quirksmode.org/js/events_properties.html\n", + " var targ;\n", + " if (!e) {\n", + " e = window.event;\n", + " }\n", + " if (e.target) {\n", + " targ = e.target;\n", + " } else if (e.srcElement) {\n", + " targ = e.srcElement;\n", + " }\n", + " if (targ.nodeType === 3) {\n", + " // defeat Safari bug\n", + " targ = targ.parentNode;\n", + " }\n", + "\n", + " // pageX,Y are the mouse positions relative to the document\n", + " var boundingRect = targ.getBoundingClientRect();\n", + " var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n", + " var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n", + "\n", + " return { x: x, y: y };\n", + "};\n", + "\n", + "/*\n", + " * return a copy of an object with only non-object keys\n", + " * we need this to avoid circular references\n", + " * http://stackoverflow.com/a/24161582/3208463\n", + " */\n", + "function simpleKeys(original) {\n", + " return Object.keys(original).reduce(function (obj, key) {\n", + " if (typeof original[key] !== 'object') {\n", + " obj[key] = original[key];\n", + " }\n", + " return obj;\n", + " }, {});\n", + "}\n", + "\n", + "mpl.figure.prototype.mouse_event = function (event, name) {\n", + " var canvas_pos = mpl.findpos(event);\n", + "\n", + " if (name === 'button_press') {\n", + " this.canvas.focus();\n", + " this.canvas_div.focus();\n", + " }\n", + "\n", + " var x = canvas_pos.x * this.ratio;\n", + " var y = canvas_pos.y * this.ratio;\n", + "\n", + " this.send_message(name, {\n", + " x: x,\n", + " y: y,\n", + " button: event.button,\n", + " step: event.step,\n", + " guiEvent: simpleKeys(event),\n", + " });\n", + "\n", + " /* This prevents the web browser from automatically changing to\n", + " * the text insertion cursor when the button is pressed. We want\n", + " * to control all of the cursor setting manually through the\n", + " * 'cursor' event from matplotlib */\n", + " event.preventDefault();\n", + " return false;\n", + "};\n", + "\n", + "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n", + " // Handle any extra behaviour associated with a key event\n", + "};\n", + "\n", + "mpl.figure.prototype.key_event = function (event, name) {\n", + " // Prevent repeat events\n", + " if (name === 'key_press') {\n", + " if (event.which === this._key) {\n", + " return;\n", + " } else {\n", + " this._key = event.which;\n", + " }\n", + " }\n", + " if (name === 'key_release') {\n", + " this._key = null;\n", + " }\n", + "\n", + " var value = '';\n", + " if (event.ctrlKey && event.which !== 17) {\n", + " value += 'ctrl+';\n", + " }\n", + " if (event.altKey && event.which !== 18) {\n", + " value += 'alt+';\n", + " }\n", + " if (event.shiftKey && event.which !== 16) {\n", + " value += 'shift+';\n", + " }\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, guiEvent: simpleKeys(event) });\n", + " return false;\n", + "};\n", + "\n", + "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n", + " if (name === 'download') {\n", + " this.handle_save(this, null);\n", + " } else {\n", + " this.send_message('toolbar_button', { name: name });\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n", + " this.message.textContent = tooltip;\n", + "};\n", + "\n", + "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n", + "// prettier-ignore\n", + "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n", + "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n", + "\n", + "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n", + "\n", + "mpl.default_extension = \"png\";/* global mpl */\n", + "\n", + "var comm_websocket_adapter = function (comm) {\n", + " // Create a \"websocket\"-like object which calls the given IPython comm\n", + " // object with the appropriate methods. Currently this is a non binary\n", + " // socket, so there is still some room for performance tuning.\n", + " var ws = {};\n", + "\n", + " ws.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 overridden (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 = document.getElementById(id);\n", + " var ws_proxy = comm_websocket_adapter(comm);\n", + "\n", + " function ondownload(figure, _format) {\n", + " window.open(figure.canvas.toDataURL());\n", + " }\n", + "\n", + " var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n", + "\n", + " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n", + " // web socket which is closed, not our websocket->open comm proxy.\n", + " ws_proxy.onopen();\n", + "\n", + " fig.parent_element = element;\n", + " fig.cell_info = mpl.find_output_cell(\"
\");\n", + " if (!fig.cell_info) {\n", + " console.error('Failed to find cell for figure', id, fig);\n", + " return;\n", + " }\n", + " fig.cell_info[0].output_area.element.on(\n", + " 'cleared',\n", + " { fig: fig },\n", + " fig._remove_fig_handler\n", + " );\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_close = function (fig, msg) {\n", + " var width = fig.canvas.width / fig.ratio;\n", + " fig.cell_info[0].output_area.element.off(\n", + " 'cleared',\n", + " fig._remove_fig_handler\n", + " );\n", + " fig.resizeObserverInstance.unobserve(fig.canvas_div);\n", + "\n", + " // Update the output cell to use the data from the current canvas.\n", + " fig.push_to_output();\n", + " var dataURL = fig.canvas.toDataURL();\n", + " // Re-enable the keyboard manager in IPython - without this line, in FF,\n", + " // the notebook keyboard shortcuts fail.\n", + " IPython.keyboard_manager.enable();\n", + " fig.parent_element.innerHTML =\n", + " '';\n", + " fig.close_ws(fig, msg);\n", + "};\n", + "\n", + "mpl.figure.prototype.close_ws = function (fig, msg) {\n", + " fig.send_message('closing', msg);\n", + " // fig.ws.close()\n", + "};\n", + "\n", + "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n", + " // Turn the data on the canvas into data in the output cell.\n", + " var width = this.canvas.width / this.ratio;\n", + " var dataURL = this.canvas.toDataURL();\n", + " this.cell_info[1]['text/html'] =\n", + " '';\n", + "};\n", + "\n", + "mpl.figure.prototype.updated_canvas_event = function () {\n", + " // Tell IPython that the notebook contents must change.\n", + " IPython.notebook.set_dirty(true);\n", + " this.send_message('ack', {});\n", + " var fig = this;\n", + " // Wait a second, then push the new image to the DOM so\n", + " // that it is saved nicely (might be nice to debounce this).\n", + " setTimeout(function () {\n", + " fig.push_to_output();\n", + " }, 1000);\n", + "};\n", + "\n", + "mpl.figure.prototype._init_toolbar = function () {\n", + " var fig = this;\n", + "\n", + " var toolbar = document.createElement('div');\n", + " toolbar.classList = 'btn-toolbar';\n", + " this.root.appendChild(toolbar);\n", + "\n", + " function on_click_closure(name) {\n", + " return function (_event) {\n", + " return fig.toolbar_button_onclick(name);\n", + " };\n", + " }\n", + "\n", + " function on_mouseover_closure(tooltip) {\n", + " return function (event) {\n", + " if (!event.currentTarget.disabled) {\n", + " return fig.toolbar_button_onmouseover(tooltip);\n", + " }\n", + " };\n", + " }\n", + "\n", + " fig.buttons = {};\n", + " var buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'btn-group';\n", + " var button;\n", + " for (var toolbar_ind in mpl.toolbar_items) {\n", + " var name = mpl.toolbar_items[toolbar_ind][0];\n", + " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", + " var image = mpl.toolbar_items[toolbar_ind][2];\n", + " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", + "\n", + " if (!name) {\n", + " /* Instead of a spacer, we start a new button group. */\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + " buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'btn-group';\n", + " continue;\n", + " }\n", + "\n", + " button = fig.buttons[name] = document.createElement('button');\n", + " button.classList = 'btn btn-default';\n", + " button.href = '#';\n", + " button.title = name;\n", + " button.innerHTML = '';\n", + " button.addEventListener('click', on_click_closure(method_name));\n", + " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", + " buttonGroup.appendChild(button);\n", + " }\n", + "\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + "\n", + " // Add the status bar.\n", + " var status_bar = document.createElement('span');\n", + " status_bar.classList = 'mpl-message pull-right';\n", + " toolbar.appendChild(status_bar);\n", + " this.message = status_bar;\n", + "\n", + " // Add the close button to the window.\n", + " var buttongrp = document.createElement('div');\n", + " buttongrp.classList = 'btn-group inline pull-right';\n", + " button = document.createElement('button');\n", + " button.classList = 'btn btn-mini btn-primary';\n", + " button.href = '#';\n", + " button.title = 'Stop Interaction';\n", + " button.innerHTML = '';\n", + " button.addEventListener('click', function (_evt) {\n", + " fig.handle_close(fig, {});\n", + " });\n", + " button.addEventListener(\n", + " 'mouseover',\n", + " on_mouseover_closure('Stop Interaction')\n", + " );\n", + " buttongrp.appendChild(button);\n", + " var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n", + " titlebar.insertBefore(buttongrp, titlebar.firstChild);\n", + "};\n", + "\n", + "mpl.figure.prototype._remove_fig_handler = function (event) {\n", + " var fig = event.data.fig;\n", + " if (event.target !== this) {\n", + " // Ignore bubbled events from children.\n", + " return;\n", + " }\n", + " fig.close_ws(fig, {});\n", + "};\n", + "\n", + "mpl.figure.prototype._root_extra_style = function (el) {\n", + " el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n", + "};\n", + "\n", + "mpl.figure.prototype._canvas_extra_style = function (el) {\n", + " // this is important to make the div 'focusable\n", + " el.setAttribute('tabindex', 0);\n", + " // reach out to IPython and tell the keyboard manager to turn it's self\n", + " // off when our div gets focus\n", + "\n", + " // location in version 3\n", + " if (IPython.notebook.keyboard_manager) {\n", + " IPython.notebook.keyboard_manager.register_events(el);\n", + " } else {\n", + " // location in version 2\n", + " IPython.keyboard_manager.register_events(el);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype._key_event_extra = function (event, _name) {\n", + " var manager = IPython.notebook.keyboard_manager;\n", + " if (!manager) {\n", + " manager = IPython.keyboard_manager;\n", + " }\n", + "\n", + " // Check for shift+enter\n", + " if (event.shiftKey && event.which === 13) {\n", + " this.canvas_div.blur();\n", + " // select the cell after this one\n", + " var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n", + " IPython.notebook.select(index + 1);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_save = function (fig, _msg) {\n", + " fig.ondownload(fig, null);\n", + "};\n", + "\n", + "mpl.find_output_cell = function (html_output) {\n", + " // Return the cell and output element which can be found *uniquely* in the notebook.\n", + " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n", + " // IPython event is triggered only after the cells have been serialised, which for\n", + " // our purposes (turning an active figure into a static one), is too late.\n", + " var cells = IPython.notebook.get_cells();\n", + " var ncells = cells.length;\n", + " for (var i = 0; i < ncells; i++) {\n", + " var cell = cells[i];\n", + " if (cell.cell_type === 'code') {\n", + " for (var j = 0; j < cell.output_area.outputs.length; j++) {\n", + " var data = cell.output_area.outputs[j];\n", + " if (data.data) {\n", + " // IPython >= 3 moved mimebundle to data attribute of output\n", + " data = data.data;\n", + " }\n", + " if (data['text/html'] === html_output) {\n", + " return [cell, data, j];\n", + " }\n", + " }\n", + " }\n", + " }\n", + "};\n", + "\n", + "// Register the function which deals with the matplotlib target/channel.\n", + "// The kernel may be null if the page has been refreshed.\n", + "if (IPython.notebook.kernel !== null) {\n", + " IPython.notebook.kernel.comm_manager.register_target(\n", + " 'matplotlib',\n", + " mpl.mpl_figure_comm\n", + " );\n", + "}\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "8bac9563afe44099877af2a4095b9fdb", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(FloatLogSlider(value=0.01, description='Divergence', max=0.0, min=-4.0, step=0.2), FloatSlider(…" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "9065ea6468234b19be6683b8281d8b8a", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "new_array = interactive_polar(array, group=group, overwrite=False)" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "application/javascript": [ + "/* Put everything inside the global mpl namespace */\n", + "/* global mpl */\n", + "window.mpl = {};\n", + "\n", + "mpl.get_websocket_type = function () {\n", + " if (typeof WebSocket !== 'undefined') {\n", + " return WebSocket;\n", + " } else if (typeof MozWebSocket !== 'undefined') {\n", + " return MozWebSocket;\n", + " } else {\n", + " alert(\n", + " 'Your browser does not have WebSocket support. ' +\n", + " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n", + " 'Firefox 4 and 5 are also supported but you ' +\n", + " 'have to enable WebSockets in about:config.'\n", + " );\n", + " }\n", + "};\n", + "\n", + "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n", + " this.id = figure_id;\n", + "\n", + " this.ws = websocket;\n", + "\n", + " this.supports_binary = this.ws.binaryType !== undefined;\n", + "\n", + " if (!this.supports_binary) {\n", + " var warnings = document.getElementById('mpl-warnings');\n", + " if (warnings) {\n", + " warnings.style.display = 'block';\n", + " warnings.textContent =\n", + " 'This browser does not support binary websocket messages. ' +\n", + " 'Performance may be slow.';\n", + " }\n", + " }\n", + "\n", + " this.imageObj = new Image();\n", + "\n", + " this.context = undefined;\n", + " this.message = undefined;\n", + " this.canvas = undefined;\n", + " this.rubberband_canvas = undefined;\n", + " this.rubberband_context = undefined;\n", + " this.format_dropdown = undefined;\n", + "\n", + " this.image_mode = 'full';\n", + "\n", + " this.root = document.createElement('div');\n", + " this.root.setAttribute('style', 'display: inline-block');\n", + " this._root_extra_style(this.root);\n", + "\n", + " parent_element.appendChild(this.root);\n", + "\n", + " this._init_header(this);\n", + " this._init_canvas(this);\n", + " this._init_toolbar(this);\n", + "\n", + " var fig = this;\n", + "\n", + " this.waiting = false;\n", + "\n", + " this.ws.onopen = function () {\n", + " fig.send_message('supports_binary', { value: fig.supports_binary });\n", + " fig.send_message('send_image_mode', {});\n", + " if (fig.ratio !== 1) {\n", + " fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n", + " }\n", + " fig.send_message('refresh', {});\n", + " };\n", + "\n", + " this.imageObj.onload = function () {\n", + " if (fig.image_mode === 'full') {\n", + " // Full images could contain transparency (where diff images\n", + " // almost always do), so we need to clear the canvas so that\n", + " // there is no ghosting.\n", + " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n", + " }\n", + " fig.context.drawImage(fig.imageObj, 0, 0);\n", + " };\n", + "\n", + " this.imageObj.onunload = function () {\n", + " fig.ws.close();\n", + " };\n", + "\n", + " this.ws.onmessage = this._make_on_message_function(this);\n", + "\n", + " this.ondownload = ondownload;\n", + "};\n", + "\n", + "mpl.figure.prototype._init_header = function () {\n", + " var titlebar = document.createElement('div');\n", + " titlebar.classList =\n", + " 'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n", + " var titletext = document.createElement('div');\n", + " titletext.classList = 'ui-dialog-title';\n", + " titletext.setAttribute(\n", + " 'style',\n", + " 'width: 100%; text-align: center; padding: 3px;'\n", + " );\n", + " titlebar.appendChild(titletext);\n", + " this.root.appendChild(titlebar);\n", + " this.header = titletext;\n", + "};\n", + "\n", + "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n", + "\n", + "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n", + "\n", + "mpl.figure.prototype._init_canvas = function () {\n", + " var fig = this;\n", + "\n", + " var canvas_div = (this.canvas_div = document.createElement('div'));\n", + " canvas_div.setAttribute(\n", + " 'style',\n", + " 'border: 1px solid #ddd;' +\n", + " 'box-sizing: content-box;' +\n", + " 'clear: both;' +\n", + " 'min-height: 1px;' +\n", + " 'min-width: 1px;' +\n", + " 'outline: 0;' +\n", + " 'overflow: hidden;' +\n", + " 'position: relative;' +\n", + " 'resize: both;'\n", + " );\n", + "\n", + " function on_keyboard_event_closure(name) {\n", + " return function (event) {\n", + " return fig.key_event(event, name);\n", + " };\n", + " }\n", + "\n", + " canvas_div.addEventListener(\n", + " 'keydown',\n", + " on_keyboard_event_closure('key_press')\n", + " );\n", + " canvas_div.addEventListener(\n", + " 'keyup',\n", + " on_keyboard_event_closure('key_release')\n", + " );\n", + "\n", + " this._canvas_extra_style(canvas_div);\n", + " this.root.appendChild(canvas_div);\n", + "\n", + " var canvas = (this.canvas = document.createElement('canvas'));\n", + " canvas.classList.add('mpl-canvas');\n", + " canvas.setAttribute('style', 'box-sizing: content-box;');\n", + "\n", + " this.context = canvas.getContext('2d');\n", + "\n", + " var backingStore =\n", + " this.context.backingStorePixelRatio ||\n", + " this.context.webkitBackingStorePixelRatio ||\n", + " this.context.mozBackingStorePixelRatio ||\n", + " this.context.msBackingStorePixelRatio ||\n", + " this.context.oBackingStorePixelRatio ||\n", + " this.context.backingStorePixelRatio ||\n", + " 1;\n", + "\n", + " this.ratio = (window.devicePixelRatio || 1) / backingStore;\n", + " if (this.ratio !== 1) {\n", + " fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n", + " }\n", + "\n", + " var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n", + " 'canvas'\n", + " ));\n", + " rubberband_canvas.setAttribute(\n", + " 'style',\n", + " 'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n", + " );\n", + "\n", + " // Apply a ponyfill if ResizeObserver is not implemented by browser.\n", + " if (this.ResizeObserver === undefined) {\n", + " if (window.ResizeObserver !== undefined) {\n", + " this.ResizeObserver = window.ResizeObserver;\n", + " } else {\n", + " var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n", + " this.ResizeObserver = obs.ResizeObserver;\n", + " }\n", + " }\n", + "\n", + " this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n", + " var nentries = entries.length;\n", + " for (var i = 0; i < nentries; i++) {\n", + " var entry = entries[i];\n", + " var width, height;\n", + " if (entry.contentBoxSize) {\n", + " if (entry.contentBoxSize instanceof Array) {\n", + " // Chrome 84 implements new version of spec.\n", + " width = entry.contentBoxSize[0].inlineSize;\n", + " height = entry.contentBoxSize[0].blockSize;\n", + " } else {\n", + " // Firefox implements old version of spec.\n", + " width = entry.contentBoxSize.inlineSize;\n", + " height = entry.contentBoxSize.blockSize;\n", + " }\n", + " } else {\n", + " // Chrome <84 implements even older version of spec.\n", + " width = entry.contentRect.width;\n", + " height = entry.contentRect.height;\n", + " }\n", + "\n", + " // Keep the size of the canvas and rubber band canvas in sync with\n", + " // the canvas container.\n", + " if (entry.devicePixelContentBoxSize) {\n", + " // Chrome 84 implements new version of spec.\n", + " canvas.setAttribute(\n", + " 'width',\n", + " entry.devicePixelContentBoxSize[0].inlineSize\n", + " );\n", + " canvas.setAttribute(\n", + " 'height',\n", + " entry.devicePixelContentBoxSize[0].blockSize\n", + " );\n", + " } else {\n", + " canvas.setAttribute('width', width * fig.ratio);\n", + " canvas.setAttribute('height', height * fig.ratio);\n", + " }\n", + " canvas.setAttribute(\n", + " 'style',\n", + " 'width: ' + width + 'px; height: ' + height + 'px;'\n", + " );\n", + "\n", + " rubberband_canvas.setAttribute('width', width);\n", + " rubberband_canvas.setAttribute('height', height);\n", + "\n", + " // And update the size in Python. We ignore the initial 0/0 size\n", + " // that occurs as the element is placed into the DOM, which should\n", + " // otherwise not happen due to the minimum size styling.\n", + " if (width != 0 && height != 0) {\n", + " fig.request_resize(width, height);\n", + " }\n", + " }\n", + " });\n", + " this.resizeObserverInstance.observe(canvas_div);\n", + "\n", + " function on_mouse_event_closure(name) {\n", + " return function (event) {\n", + " return fig.mouse_event(event, name);\n", + " };\n", + " }\n", + "\n", + " rubberband_canvas.addEventListener(\n", + " 'mousedown',\n", + " on_mouse_event_closure('button_press')\n", + " );\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseup',\n", + " on_mouse_event_closure('button_release')\n", + " );\n", + " // Throttle sequential mouse events to 1 every 20ms.\n", + " rubberband_canvas.addEventListener(\n", + " 'mousemove',\n", + " on_mouse_event_closure('motion_notify')\n", + " );\n", + "\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseenter',\n", + " on_mouse_event_closure('figure_enter')\n", + " );\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseleave',\n", + " on_mouse_event_closure('figure_leave')\n", + " );\n", + "\n", + " canvas_div.addEventListener('wheel', function (event) {\n", + " if (event.deltaY < 0) {\n", + " event.step = 1;\n", + " } else {\n", + " event.step = -1;\n", + " }\n", + " on_mouse_event_closure('scroll')(event);\n", + " });\n", + "\n", + " canvas_div.appendChild(canvas);\n", + " canvas_div.appendChild(rubberband_canvas);\n", + "\n", + " this.rubberband_context = rubberband_canvas.getContext('2d');\n", + " this.rubberband_context.strokeStyle = '#000000';\n", + "\n", + " this._resize_canvas = function (width, height, forward) {\n", + " if (forward) {\n", + " canvas_div.style.width = width + 'px';\n", + " canvas_div.style.height = height + 'px';\n", + " }\n", + " };\n", + "\n", + " // Disable right mouse context menu.\n", + " this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n", + " event.preventDefault();\n", + " return false;\n", + " });\n", + "\n", + " function set_focus() {\n", + " canvas.focus();\n", + " canvas_div.focus();\n", + " }\n", + "\n", + " window.setTimeout(set_focus, 100);\n", + "};\n", + "\n", + "mpl.figure.prototype._init_toolbar = function () {\n", + " var fig = this;\n", + "\n", + " var toolbar = document.createElement('div');\n", + " toolbar.classList = 'mpl-toolbar';\n", + " this.root.appendChild(toolbar);\n", + "\n", + " function on_click_closure(name) {\n", + " return function (_event) {\n", + " return fig.toolbar_button_onclick(name);\n", + " };\n", + " }\n", + "\n", + " function on_mouseover_closure(tooltip) {\n", + " return function (event) {\n", + " if (!event.currentTarget.disabled) {\n", + " return fig.toolbar_button_onmouseover(tooltip);\n", + " }\n", + " };\n", + " }\n", + "\n", + " fig.buttons = {};\n", + " var buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'mpl-button-group';\n", + " for (var toolbar_ind in mpl.toolbar_items) {\n", + " var name = mpl.toolbar_items[toolbar_ind][0];\n", + " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", + " var image = mpl.toolbar_items[toolbar_ind][2];\n", + " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", + "\n", + " if (!name) {\n", + " /* Instead of a spacer, we start a new button group. */\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + " buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'mpl-button-group';\n", + " continue;\n", + " }\n", + "\n", + " var button = (fig.buttons[name] = document.createElement('button'));\n", + " button.classList = 'mpl-widget';\n", + " button.setAttribute('role', 'button');\n", + " button.setAttribute('aria-disabled', 'false');\n", + " button.addEventListener('click', on_click_closure(method_name));\n", + " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", + "\n", + " var icon_img = document.createElement('img');\n", + " icon_img.src = '_images/' + image + '.png';\n", + " icon_img.srcset = '_images/' + image + '_large.png 2x';\n", + " icon_img.alt = tooltip;\n", + " button.appendChild(icon_img);\n", + "\n", + " buttonGroup.appendChild(button);\n", + " }\n", + "\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + "\n", + " var fmt_picker = document.createElement('select');\n", + " fmt_picker.classList = 'mpl-widget';\n", + " toolbar.appendChild(fmt_picker);\n", + " this.format_dropdown = fmt_picker;\n", + "\n", + " for (var ind in mpl.extensions) {\n", + " var fmt = mpl.extensions[ind];\n", + " var option = document.createElement('option');\n", + " option.selected = fmt === mpl.default_extension;\n", + " option.innerHTML = fmt;\n", + " fmt_picker.appendChild(option);\n", + " }\n", + "\n", + " var status_bar = document.createElement('span');\n", + " status_bar.classList = 'mpl-message';\n", + " toolbar.appendChild(status_bar);\n", + " this.message = status_bar;\n", + "};\n", + "\n", + "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n", + " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n", + " // which will in turn request a refresh of the image.\n", + " this.send_message('resize', { width: x_pixels, height: y_pixels });\n", + "};\n", + "\n", + "mpl.figure.prototype.send_message = function (type, properties) {\n", + " properties['type'] = type;\n", + " properties['figure_id'] = this.id;\n", + " this.ws.send(JSON.stringify(properties));\n", + "};\n", + "\n", + "mpl.figure.prototype.send_draw_message = function () {\n", + " if (!this.waiting) {\n", + " this.waiting = true;\n", + " this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_save = function (fig, _msg) {\n", + " var format_dropdown = fig.format_dropdown;\n", + " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n", + " fig.ondownload(fig, format);\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_resize = function (fig, msg) {\n", + " var size = msg['size'];\n", + " if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n", + " fig._resize_canvas(size[0], size[1], msg['forward']);\n", + " fig.send_message('refresh', {});\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n", + " var x0 = msg['x0'] / fig.ratio;\n", + " var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n", + " var x1 = msg['x1'] / fig.ratio;\n", + " var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n", + " x0 = Math.floor(x0) + 0.5;\n", + " y0 = Math.floor(y0) + 0.5;\n", + " x1 = Math.floor(x1) + 0.5;\n", + " y1 = Math.floor(y1) + 0.5;\n", + " var min_x = Math.min(x0, x1);\n", + " var min_y = Math.min(y0, y1);\n", + " var width = Math.abs(x1 - x0);\n", + " var height = Math.abs(y1 - y0);\n", + "\n", + " fig.rubberband_context.clearRect(\n", + " 0,\n", + " 0,\n", + " fig.canvas.width / fig.ratio,\n", + " fig.canvas.height / fig.ratio\n", + " );\n", + "\n", + " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n", + " // Updates the figure title.\n", + " fig.header.textContent = msg['label'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n", + " var cursor = msg['cursor'];\n", + " switch (cursor) {\n", + " case 0:\n", + " cursor = 'pointer';\n", + " break;\n", + " case 1:\n", + " cursor = 'default';\n", + " break;\n", + " case 2:\n", + " cursor = 'crosshair';\n", + " break;\n", + " case 3:\n", + " cursor = 'move';\n", + " break;\n", + " }\n", + " fig.rubberband_canvas.style.cursor = cursor;\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_message = function (fig, msg) {\n", + " fig.message.textContent = msg['message'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n", + " // Request the server to send over a new figure.\n", + " fig.send_draw_message();\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n", + " fig.image_mode = msg['mode'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n", + " for (var key in msg) {\n", + " if (!(key in fig.buttons)) {\n", + " continue;\n", + " }\n", + " fig.buttons[key].disabled = !msg[key];\n", + " fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n", + " if (msg['mode'] === 'PAN') {\n", + " fig.buttons['Pan'].classList.add('active');\n", + " fig.buttons['Zoom'].classList.remove('active');\n", + " } else if (msg['mode'] === 'ZOOM') {\n", + " fig.buttons['Pan'].classList.remove('active');\n", + " fig.buttons['Zoom'].classList.add('active');\n", + " } else {\n", + " fig.buttons['Pan'].classList.remove('active');\n", + " fig.buttons['Zoom'].classList.remove('active');\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.updated_canvas_event = function () {\n", + " // Called whenever the canvas gets updated.\n", + " this.send_message('ack', {});\n", + "};\n", + "\n", + "// A function to construct a web socket function for onmessage handling.\n", + "// Called in the figure constructor.\n", + "mpl.figure.prototype._make_on_message_function = function (fig) {\n", + " return function socket_on_message(evt) {\n", + " if (evt.data instanceof Blob) {\n", + " /* 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", + "\n", + " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n", + " evt.data\n", + " );\n", + " fig.updated_canvas_event();\n", + " fig.waiting = false;\n", + " return;\n", + " } else if (\n", + " typeof evt.data === 'string' &&\n", + " evt.data.slice(0, 21) === 'data:image/png;base64'\n", + " ) {\n", + " fig.imageObj.src = evt.data;\n", + " fig.updated_canvas_event();\n", + " fig.waiting = false;\n", + " return;\n", + " }\n", + "\n", + " var msg = JSON.parse(evt.data);\n", + " var msg_type = msg['type'];\n", + "\n", + " // Call the \"handle_{type}\" callback, which takes\n", + " // the figure and JSON message as its only arguments.\n", + " try {\n", + " var callback = fig['handle_' + msg_type];\n", + " } catch (e) {\n", + " console.log(\n", + " \"No handler for the '\" + msg_type + \"' message type: \",\n", + " msg\n", + " );\n", + " return;\n", + " }\n", + "\n", + " if (callback) {\n", + " try {\n", + " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n", + " callback(fig, msg);\n", + " } catch (e) {\n", + " console.log(\n", + " \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n", + " e,\n", + " e.stack,\n", + " msg\n", + " );\n", + " }\n", + " }\n", + " };\n", + "};\n", + "\n", + "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n", + "mpl.findpos = function (e) {\n", + " //this section is from http://www.quirksmode.org/js/events_properties.html\n", + " var targ;\n", + " if (!e) {\n", + " e = window.event;\n", + " }\n", + " if (e.target) {\n", + " targ = e.target;\n", + " } else if (e.srcElement) {\n", + " targ = e.srcElement;\n", + " }\n", + " if (targ.nodeType === 3) {\n", + " // defeat Safari bug\n", + " targ = targ.parentNode;\n", + " }\n", + "\n", + " // pageX,Y are the mouse positions relative to the document\n", + " var boundingRect = targ.getBoundingClientRect();\n", + " var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n", + " var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n", + "\n", + " return { x: x, y: y };\n", + "};\n", + "\n", + "/*\n", + " * return a copy of an object with only non-object keys\n", + " * we need this to avoid circular references\n", + " * http://stackoverflow.com/a/24161582/3208463\n", + " */\n", + "function simpleKeys(original) {\n", + " return Object.keys(original).reduce(function (obj, key) {\n", + " if (typeof original[key] !== 'object') {\n", + " obj[key] = original[key];\n", + " }\n", + " return obj;\n", + " }, {});\n", + "}\n", + "\n", + "mpl.figure.prototype.mouse_event = function (event, name) {\n", + " var canvas_pos = mpl.findpos(event);\n", + "\n", + " if (name === 'button_press') {\n", + " this.canvas.focus();\n", + " this.canvas_div.focus();\n", + " }\n", + "\n", + " var x = canvas_pos.x * this.ratio;\n", + " var y = canvas_pos.y * this.ratio;\n", + "\n", + " this.send_message(name, {\n", + " x: x,\n", + " y: y,\n", + " button: event.button,\n", + " step: event.step,\n", + " guiEvent: simpleKeys(event),\n", + " });\n", + "\n", + " /* This prevents the web browser from automatically changing to\n", + " * the text insertion cursor when the button is pressed. We want\n", + " * to control all of the cursor setting manually through the\n", + " * 'cursor' event from matplotlib */\n", + " event.preventDefault();\n", + " return false;\n", + "};\n", + "\n", + "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n", + " // Handle any extra behaviour associated with a key event\n", + "};\n", + "\n", + "mpl.figure.prototype.key_event = function (event, name) {\n", + " // Prevent repeat events\n", + " if (name === 'key_press') {\n", + " if (event.which === this._key) {\n", + " return;\n", + " } else {\n", + " this._key = event.which;\n", + " }\n", + " }\n", + " if (name === 'key_release') {\n", + " this._key = null;\n", + " }\n", + "\n", + " var value = '';\n", + " if (event.ctrlKey && event.which !== 17) {\n", + " value += 'ctrl+';\n", + " }\n", + " if (event.altKey && event.which !== 18) {\n", + " value += 'alt+';\n", + " }\n", + " if (event.shiftKey && event.which !== 16) {\n", + " value += 'shift+';\n", + " }\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, guiEvent: simpleKeys(event) });\n", + " return false;\n", + "};\n", + "\n", + "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n", + " if (name === 'download') {\n", + " this.handle_save(this, null);\n", + " } else {\n", + " this.send_message('toolbar_button', { name: name });\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n", + " this.message.textContent = tooltip;\n", + "};\n", + "\n", + "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n", + "// prettier-ignore\n", + "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n", + "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n", + "\n", + "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n", + "\n", + "mpl.default_extension = \"png\";/* global mpl */\n", + "\n", + "var comm_websocket_adapter = function (comm) {\n", + " // Create a \"websocket\"-like object which calls the given IPython comm\n", + " // object with the appropriate methods. Currently this is a non binary\n", + " // socket, so there is still some room for performance tuning.\n", + " var ws = {};\n", + "\n", + " ws.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 overridden (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 = document.getElementById(id);\n", + " var ws_proxy = comm_websocket_adapter(comm);\n", + "\n", + " function ondownload(figure, _format) {\n", + " window.open(figure.canvas.toDataURL());\n", + " }\n", + "\n", + " var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n", + "\n", + " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n", + " // web socket which is closed, not our websocket->open comm proxy.\n", + " ws_proxy.onopen();\n", + "\n", + " fig.parent_element = element;\n", + " fig.cell_info = mpl.find_output_cell(\"
\");\n", + " if (!fig.cell_info) {\n", + " console.error('Failed to find cell for figure', id, fig);\n", + " return;\n", + " }\n", + " fig.cell_info[0].output_area.element.on(\n", + " 'cleared',\n", + " { fig: fig },\n", + " fig._remove_fig_handler\n", + " );\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_close = function (fig, msg) {\n", + " var width = fig.canvas.width / fig.ratio;\n", + " fig.cell_info[0].output_area.element.off(\n", + " 'cleared',\n", + " fig._remove_fig_handler\n", + " );\n", + " fig.resizeObserverInstance.unobserve(fig.canvas_div);\n", + "\n", + " // Update the output cell to use the data from the current canvas.\n", + " fig.push_to_output();\n", + " var dataURL = fig.canvas.toDataURL();\n", + " // Re-enable the keyboard manager in IPython - without this line, in FF,\n", + " // the notebook keyboard shortcuts fail.\n", + " IPython.keyboard_manager.enable();\n", + " fig.parent_element.innerHTML =\n", + " '';\n", + " fig.close_ws(fig, msg);\n", + "};\n", + "\n", + "mpl.figure.prototype.close_ws = function (fig, msg) {\n", + " fig.send_message('closing', msg);\n", + " // fig.ws.close()\n", + "};\n", + "\n", + "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n", + " // Turn the data on the canvas into data in the output cell.\n", + " var width = this.canvas.width / this.ratio;\n", + " var dataURL = this.canvas.toDataURL();\n", + " this.cell_info[1]['text/html'] =\n", + " '';\n", + "};\n", + "\n", + "mpl.figure.prototype.updated_canvas_event = function () {\n", + " // Tell IPython that the notebook contents must change.\n", + " IPython.notebook.set_dirty(true);\n", + " this.send_message('ack', {});\n", + " var fig = this;\n", + " // Wait a second, then push the new image to the DOM so\n", + " // that it is saved nicely (might be nice to debounce this).\n", + " setTimeout(function () {\n", + " fig.push_to_output();\n", + " }, 1000);\n", + "};\n", + "\n", + "mpl.figure.prototype._init_toolbar = function () {\n", + " var fig = this;\n", + "\n", + " var toolbar = document.createElement('div');\n", + " toolbar.classList = 'btn-toolbar';\n", + " this.root.appendChild(toolbar);\n", + "\n", + " function on_click_closure(name) {\n", + " return function (_event) {\n", + " return fig.toolbar_button_onclick(name);\n", + " };\n", + " }\n", + "\n", + " function on_mouseover_closure(tooltip) {\n", + " return function (event) {\n", + " if (!event.currentTarget.disabled) {\n", + " return fig.toolbar_button_onmouseover(tooltip);\n", + " }\n", + " };\n", + " }\n", + "\n", + " fig.buttons = {};\n", + " var buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'btn-group';\n", + " var button;\n", + " for (var toolbar_ind in mpl.toolbar_items) {\n", + " var name = mpl.toolbar_items[toolbar_ind][0];\n", + " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", + " var image = mpl.toolbar_items[toolbar_ind][2];\n", + " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", + "\n", + " if (!name) {\n", + " /* Instead of a spacer, we start a new button group. */\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + " buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'btn-group';\n", + " continue;\n", + " }\n", + "\n", + " button = fig.buttons[name] = document.createElement('button');\n", + " button.classList = 'btn btn-default';\n", + " button.href = '#';\n", + " button.title = name;\n", + " button.innerHTML = '';\n", + " button.addEventListener('click', on_click_closure(method_name));\n", + " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", + " buttonGroup.appendChild(button);\n", + " }\n", + "\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + "\n", + " // Add the status bar.\n", + " var status_bar = document.createElement('span');\n", + " status_bar.classList = 'mpl-message pull-right';\n", + " toolbar.appendChild(status_bar);\n", + " this.message = status_bar;\n", + "\n", + " // Add the close button to the window.\n", + " var buttongrp = document.createElement('div');\n", + " buttongrp.classList = 'btn-group inline pull-right';\n", + " button = document.createElement('button');\n", + " button.classList = 'btn btn-mini btn-primary';\n", + " button.href = '#';\n", + " button.title = 'Stop Interaction';\n", + " button.innerHTML = '';\n", + " button.addEventListener('click', function (_evt) {\n", + " fig.handle_close(fig, {});\n", + " });\n", + " button.addEventListener(\n", + " 'mouseover',\n", + " on_mouseover_closure('Stop Interaction')\n", + " );\n", + " buttongrp.appendChild(button);\n", + " var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n", + " titlebar.insertBefore(buttongrp, titlebar.firstChild);\n", + "};\n", + "\n", + "mpl.figure.prototype._remove_fig_handler = function (event) {\n", + " var fig = event.data.fig;\n", + " if (event.target !== this) {\n", + " // Ignore bubbled events from children.\n", + " return;\n", + " }\n", + " fig.close_ws(fig, {});\n", + "};\n", + "\n", + "mpl.figure.prototype._root_extra_style = function (el) {\n", + " el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n", + "};\n", + "\n", + "mpl.figure.prototype._canvas_extra_style = function (el) {\n", + " // this is important to make the div 'focusable\n", + " el.setAttribute('tabindex', 0);\n", + " // reach out to IPython and tell the keyboard manager to turn it's self\n", + " // off when our div gets focus\n", + "\n", + " // location in version 3\n", + " if (IPython.notebook.keyboard_manager) {\n", + " IPython.notebook.keyboard_manager.register_events(el);\n", + " } else {\n", + " // location in version 2\n", + " IPython.keyboard_manager.register_events(el);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype._key_event_extra = function (event, _name) {\n", + " var manager = IPython.notebook.keyboard_manager;\n", + " if (!manager) {\n", + " manager = IPython.keyboard_manager;\n", + " }\n", + "\n", + " // Check for shift+enter\n", + " if (event.shiftKey && event.which === 13) {\n", + " this.canvas_div.blur();\n", + " // select the cell after this one\n", + " var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n", + " IPython.notebook.select(index + 1);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_save = function (fig, _msg) {\n", + " fig.ondownload(fig, null);\n", + "};\n", + "\n", + "mpl.find_output_cell = function (html_output) {\n", + " // Return the cell and output element which can be found *uniquely* in the notebook.\n", + " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n", + " // IPython event is triggered only after the cells have been serialised, which for\n", + " // our purposes (turning an active figure into a static one), is too late.\n", + " var cells = IPython.notebook.get_cells();\n", + " var ncells = cells.length;\n", + " for (var i = 0; i < ncells; i++) {\n", + " var cell = cells[i];\n", + " if (cell.cell_type === 'code') {\n", + " for (var j = 0; j < cell.output_area.outputs.length; j++) {\n", + " var data = cell.output_area.outputs[j];\n", + " if (data.data) {\n", + " // IPython >= 3 moved mimebundle to data attribute of output\n", + " data = data.data;\n", + " }\n", + " if (data['text/html'] === html_output) {\n", + " return [cell, data, j];\n", + " }\n", + " }\n", + " }\n", + " }\n", + "};\n", + "\n", + "// Register the function which deals with the matplotlib target/channel.\n", + "// The kernel may be null if the page has been refreshed.\n", + "if (IPython.notebook.kernel !== null) {\n", + " IPython.notebook.kernel.comm_manager.register_target(\n", + " 'matplotlib',\n", + " mpl.mpl_figure_comm\n", + " );\n", + "}\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "f8dae332085940b4b06b3a3d71204ec9", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(FloatLogSlider(value=0.01, description='Divergence', max=0.0, min=-4.0, step=0.2), FloatSlider(…" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "a2d53714211f4518b44610c2b4448e29", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "interactive_multiplicity(array, overwrite=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "data": { + "application/javascript": [ + "/* Put everything inside the global mpl namespace */\n", + "/* global mpl */\n", + "window.mpl = {};\n", + "\n", + "mpl.get_websocket_type = function () {\n", + " if (typeof WebSocket !== 'undefined') {\n", + " return WebSocket;\n", + " } else if (typeof MozWebSocket !== 'undefined') {\n", + " return MozWebSocket;\n", + " } else {\n", + " alert(\n", + " 'Your browser does not have WebSocket support. ' +\n", + " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n", + " 'Firefox 4 and 5 are also supported but you ' +\n", + " 'have to enable WebSockets in about:config.'\n", + " );\n", + " }\n", + "};\n", + "\n", + "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n", + " this.id = figure_id;\n", + "\n", + " this.ws = websocket;\n", + "\n", + " this.supports_binary = this.ws.binaryType !== undefined;\n", + "\n", + " if (!this.supports_binary) {\n", + " var warnings = document.getElementById('mpl-warnings');\n", + " if (warnings) {\n", + " warnings.style.display = 'block';\n", + " warnings.textContent =\n", + " 'This browser does not support binary websocket messages. ' +\n", + " 'Performance may be slow.';\n", + " }\n", + " }\n", + "\n", + " this.imageObj = new Image();\n", + "\n", + " this.context = undefined;\n", + " this.message = undefined;\n", + " this.canvas = undefined;\n", + " this.rubberband_canvas = undefined;\n", + " this.rubberband_context = undefined;\n", + " this.format_dropdown = undefined;\n", + "\n", + " this.image_mode = 'full';\n", + "\n", + " this.root = document.createElement('div');\n", + " this.root.setAttribute('style', 'display: inline-block');\n", + " this._root_extra_style(this.root);\n", + "\n", + " parent_element.appendChild(this.root);\n", + "\n", + " this._init_header(this);\n", + " this._init_canvas(this);\n", + " this._init_toolbar(this);\n", + "\n", + " var fig = this;\n", + "\n", + " this.waiting = false;\n", + "\n", + " this.ws.onopen = function () {\n", + " fig.send_message('supports_binary', { value: fig.supports_binary });\n", + " fig.send_message('send_image_mode', {});\n", + " if (fig.ratio !== 1) {\n", + " fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n", + " }\n", + " fig.send_message('refresh', {});\n", + " };\n", + "\n", + " this.imageObj.onload = function () {\n", + " if (fig.image_mode === 'full') {\n", + " // Full images could contain transparency (where diff images\n", + " // almost always do), so we need to clear the canvas so that\n", + " // there is no ghosting.\n", + " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n", + " }\n", + " fig.context.drawImage(fig.imageObj, 0, 0);\n", + " };\n", + "\n", + " this.imageObj.onunload = function () {\n", + " fig.ws.close();\n", + " };\n", + "\n", + " this.ws.onmessage = this._make_on_message_function(this);\n", + "\n", + " this.ondownload = ondownload;\n", + "};\n", + "\n", + "mpl.figure.prototype._init_header = function () {\n", + " var titlebar = document.createElement('div');\n", + " titlebar.classList =\n", + " 'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n", + " var titletext = document.createElement('div');\n", + " titletext.classList = 'ui-dialog-title';\n", + " titletext.setAttribute(\n", + " 'style',\n", + " 'width: 100%; text-align: center; padding: 3px;'\n", + " );\n", + " titlebar.appendChild(titletext);\n", + " this.root.appendChild(titlebar);\n", + " this.header = titletext;\n", + "};\n", + "\n", + "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n", + "\n", + "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n", + "\n", + "mpl.figure.prototype._init_canvas = function () {\n", + " var fig = this;\n", + "\n", + " var canvas_div = (this.canvas_div = document.createElement('div'));\n", + " canvas_div.setAttribute(\n", + " 'style',\n", + " 'border: 1px solid #ddd;' +\n", + " 'box-sizing: content-box;' +\n", + " 'clear: both;' +\n", + " 'min-height: 1px;' +\n", + " 'min-width: 1px;' +\n", + " 'outline: 0;' +\n", + " 'overflow: hidden;' +\n", + " 'position: relative;' +\n", + " 'resize: both;'\n", + " );\n", + "\n", + " function on_keyboard_event_closure(name) {\n", + " return function (event) {\n", + " return fig.key_event(event, name);\n", + " };\n", + " }\n", + "\n", + " canvas_div.addEventListener(\n", + " 'keydown',\n", + " on_keyboard_event_closure('key_press')\n", + " );\n", + " canvas_div.addEventListener(\n", + " 'keyup',\n", + " on_keyboard_event_closure('key_release')\n", + " );\n", + "\n", + " this._canvas_extra_style(canvas_div);\n", + " this.root.appendChild(canvas_div);\n", + "\n", + " var canvas = (this.canvas = document.createElement('canvas'));\n", + " canvas.classList.add('mpl-canvas');\n", + " canvas.setAttribute('style', 'box-sizing: content-box;');\n", + "\n", + " this.context = canvas.getContext('2d');\n", + "\n", + " var backingStore =\n", + " this.context.backingStorePixelRatio ||\n", + " this.context.webkitBackingStorePixelRatio ||\n", + " this.context.mozBackingStorePixelRatio ||\n", + " this.context.msBackingStorePixelRatio ||\n", + " this.context.oBackingStorePixelRatio ||\n", + " this.context.backingStorePixelRatio ||\n", + " 1;\n", + "\n", + " this.ratio = (window.devicePixelRatio || 1) / backingStore;\n", + " if (this.ratio !== 1) {\n", + " fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n", + " }\n", + "\n", + " var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n", + " 'canvas'\n", + " ));\n", + " rubberband_canvas.setAttribute(\n", + " 'style',\n", + " 'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n", + " );\n", + "\n", + " // Apply a ponyfill if ResizeObserver is not implemented by browser.\n", + " if (this.ResizeObserver === undefined) {\n", + " if (window.ResizeObserver !== undefined) {\n", + " this.ResizeObserver = window.ResizeObserver;\n", + " } else {\n", + " var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n", + " this.ResizeObserver = obs.ResizeObserver;\n", + " }\n", + " }\n", + "\n", + " this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n", + " var nentries = entries.length;\n", + " for (var i = 0; i < nentries; i++) {\n", + " var entry = entries[i];\n", + " var width, height;\n", + " if (entry.contentBoxSize) {\n", + " if (entry.contentBoxSize instanceof Array) {\n", + " // Chrome 84 implements new version of spec.\n", + " width = entry.contentBoxSize[0].inlineSize;\n", + " height = entry.contentBoxSize[0].blockSize;\n", + " } else {\n", + " // Firefox implements old version of spec.\n", + " width = entry.contentBoxSize.inlineSize;\n", + " height = entry.contentBoxSize.blockSize;\n", + " }\n", + " } else {\n", + " // Chrome <84 implements even older version of spec.\n", + " width = entry.contentRect.width;\n", + " height = entry.contentRect.height;\n", + " }\n", + "\n", + " // Keep the size of the canvas and rubber band canvas in sync with\n", + " // the canvas container.\n", + " if (entry.devicePixelContentBoxSize) {\n", + " // Chrome 84 implements new version of spec.\n", + " canvas.setAttribute(\n", + " 'width',\n", + " entry.devicePixelContentBoxSize[0].inlineSize\n", + " );\n", + " canvas.setAttribute(\n", + " 'height',\n", + " entry.devicePixelContentBoxSize[0].blockSize\n", + " );\n", + " } else {\n", + " canvas.setAttribute('width', width * fig.ratio);\n", + " canvas.setAttribute('height', height * fig.ratio);\n", + " }\n", + " canvas.setAttribute(\n", + " 'style',\n", + " 'width: ' + width + 'px; height: ' + height + 'px;'\n", + " );\n", + "\n", + " rubberband_canvas.setAttribute('width', width);\n", + " rubberband_canvas.setAttribute('height', height);\n", + "\n", + " // And update the size in Python. We ignore the initial 0/0 size\n", + " // that occurs as the element is placed into the DOM, which should\n", + " // otherwise not happen due to the minimum size styling.\n", + " if (width != 0 && height != 0) {\n", + " fig.request_resize(width, height);\n", + " }\n", + " }\n", + " });\n", + " this.resizeObserverInstance.observe(canvas_div);\n", + "\n", + " function on_mouse_event_closure(name) {\n", + " return function (event) {\n", + " return fig.mouse_event(event, name);\n", + " };\n", + " }\n", + "\n", + " rubberband_canvas.addEventListener(\n", + " 'mousedown',\n", + " on_mouse_event_closure('button_press')\n", + " );\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseup',\n", + " on_mouse_event_closure('button_release')\n", + " );\n", + " // Throttle sequential mouse events to 1 every 20ms.\n", + " rubberband_canvas.addEventListener(\n", + " 'mousemove',\n", + " on_mouse_event_closure('motion_notify')\n", + " );\n", + "\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseenter',\n", + " on_mouse_event_closure('figure_enter')\n", + " );\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseleave',\n", + " on_mouse_event_closure('figure_leave')\n", + " );\n", + "\n", + " canvas_div.addEventListener('wheel', function (event) {\n", + " if (event.deltaY < 0) {\n", + " event.step = 1;\n", + " } else {\n", + " event.step = -1;\n", + " }\n", + " on_mouse_event_closure('scroll')(event);\n", + " });\n", + "\n", + " canvas_div.appendChild(canvas);\n", + " canvas_div.appendChild(rubberband_canvas);\n", + "\n", + " this.rubberband_context = rubberband_canvas.getContext('2d');\n", + " this.rubberband_context.strokeStyle = '#000000';\n", + "\n", + " this._resize_canvas = function (width, height, forward) {\n", + " if (forward) {\n", + " canvas_div.style.width = width + 'px';\n", + " canvas_div.style.height = height + 'px';\n", + " }\n", + " };\n", + "\n", + " // Disable right mouse context menu.\n", + " this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n", + " event.preventDefault();\n", + " return false;\n", + " });\n", + "\n", + " function set_focus() {\n", + " canvas.focus();\n", + " canvas_div.focus();\n", + " }\n", + "\n", + " window.setTimeout(set_focus, 100);\n", + "};\n", + "\n", + "mpl.figure.prototype._init_toolbar = function () {\n", + " var fig = this;\n", + "\n", + " var toolbar = document.createElement('div');\n", + " toolbar.classList = 'mpl-toolbar';\n", + " this.root.appendChild(toolbar);\n", + "\n", + " function on_click_closure(name) {\n", + " return function (_event) {\n", + " return fig.toolbar_button_onclick(name);\n", + " };\n", + " }\n", + "\n", + " function on_mouseover_closure(tooltip) {\n", + " return function (event) {\n", + " if (!event.currentTarget.disabled) {\n", + " return fig.toolbar_button_onmouseover(tooltip);\n", + " }\n", + " };\n", + " }\n", + "\n", + " fig.buttons = {};\n", + " var buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'mpl-button-group';\n", + " for (var toolbar_ind in mpl.toolbar_items) {\n", + " var name = mpl.toolbar_items[toolbar_ind][0];\n", + " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", + " var image = mpl.toolbar_items[toolbar_ind][2];\n", + " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", + "\n", + " if (!name) {\n", + " /* Instead of a spacer, we start a new button group. */\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + " buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'mpl-button-group';\n", + " continue;\n", + " }\n", + "\n", + " var button = (fig.buttons[name] = document.createElement('button'));\n", + " button.classList = 'mpl-widget';\n", + " button.setAttribute('role', 'button');\n", + " button.setAttribute('aria-disabled', 'false');\n", + " button.addEventListener('click', on_click_closure(method_name));\n", + " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", + "\n", + " var icon_img = document.createElement('img');\n", + " icon_img.src = '_images/' + image + '.png';\n", + " icon_img.srcset = '_images/' + image + '_large.png 2x';\n", + " icon_img.alt = tooltip;\n", + " button.appendChild(icon_img);\n", + "\n", + " buttonGroup.appendChild(button);\n", + " }\n", + "\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + "\n", + " var fmt_picker = document.createElement('select');\n", + " fmt_picker.classList = 'mpl-widget';\n", + " toolbar.appendChild(fmt_picker);\n", + " this.format_dropdown = fmt_picker;\n", + "\n", + " for (var ind in mpl.extensions) {\n", + " var fmt = mpl.extensions[ind];\n", + " var option = document.createElement('option');\n", + " option.selected = fmt === mpl.default_extension;\n", + " option.innerHTML = fmt;\n", + " fmt_picker.appendChild(option);\n", + " }\n", + "\n", + " var status_bar = document.createElement('span');\n", + " status_bar.classList = 'mpl-message';\n", + " toolbar.appendChild(status_bar);\n", + " this.message = status_bar;\n", + "};\n", + "\n", + "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n", + " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n", + " // which will in turn request a refresh of the image.\n", + " this.send_message('resize', { width: x_pixels, height: y_pixels });\n", + "};\n", + "\n", + "mpl.figure.prototype.send_message = function (type, properties) {\n", + " properties['type'] = type;\n", + " properties['figure_id'] = this.id;\n", + " this.ws.send(JSON.stringify(properties));\n", + "};\n", + "\n", + "mpl.figure.prototype.send_draw_message = function () {\n", + " if (!this.waiting) {\n", + " this.waiting = true;\n", + " this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_save = function (fig, _msg) {\n", + " var format_dropdown = fig.format_dropdown;\n", + " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n", + " fig.ondownload(fig, format);\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_resize = function (fig, msg) {\n", + " var size = msg['size'];\n", + " if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n", + " fig._resize_canvas(size[0], size[1], msg['forward']);\n", + " fig.send_message('refresh', {});\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n", + " var x0 = msg['x0'] / fig.ratio;\n", + " var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n", + " var x1 = msg['x1'] / fig.ratio;\n", + " var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n", + " x0 = Math.floor(x0) + 0.5;\n", + " y0 = Math.floor(y0) + 0.5;\n", + " x1 = Math.floor(x1) + 0.5;\n", + " y1 = Math.floor(y1) + 0.5;\n", + " var min_x = Math.min(x0, x1);\n", + " var min_y = Math.min(y0, y1);\n", + " var width = Math.abs(x1 - x0);\n", + " var height = Math.abs(y1 - y0);\n", + "\n", + " fig.rubberband_context.clearRect(\n", + " 0,\n", + " 0,\n", + " fig.canvas.width / fig.ratio,\n", + " fig.canvas.height / fig.ratio\n", + " );\n", + "\n", + " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n", + " // Updates the figure title.\n", + " fig.header.textContent = msg['label'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n", + " var cursor = msg['cursor'];\n", + " switch (cursor) {\n", + " case 0:\n", + " cursor = 'pointer';\n", + " break;\n", + " case 1:\n", + " cursor = 'default';\n", + " break;\n", + " case 2:\n", + " cursor = 'crosshair';\n", + " break;\n", + " case 3:\n", + " cursor = 'move';\n", + " break;\n", + " }\n", + " fig.rubberband_canvas.style.cursor = cursor;\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_message = function (fig, msg) {\n", + " fig.message.textContent = msg['message'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n", + " // Request the server to send over a new figure.\n", + " fig.send_draw_message();\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n", + " fig.image_mode = msg['mode'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n", + " for (var key in msg) {\n", + " if (!(key in fig.buttons)) {\n", + " continue;\n", + " }\n", + " fig.buttons[key].disabled = !msg[key];\n", + " fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n", + " if (msg['mode'] === 'PAN') {\n", + " fig.buttons['Pan'].classList.add('active');\n", + " fig.buttons['Zoom'].classList.remove('active');\n", + " } else if (msg['mode'] === 'ZOOM') {\n", + " fig.buttons['Pan'].classList.remove('active');\n", + " fig.buttons['Zoom'].classList.add('active');\n", + " } else {\n", + " fig.buttons['Pan'].classList.remove('active');\n", + " fig.buttons['Zoom'].classList.remove('active');\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.updated_canvas_event = function () {\n", + " // Called whenever the canvas gets updated.\n", + " this.send_message('ack', {});\n", + "};\n", + "\n", + "// A function to construct a web socket function for onmessage handling.\n", + "// Called in the figure constructor.\n", + "mpl.figure.prototype._make_on_message_function = function (fig) {\n", + " return function socket_on_message(evt) {\n", + " if (evt.data instanceof Blob) {\n", + " /* 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", + "\n", + " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n", + " evt.data\n", + " );\n", + " fig.updated_canvas_event();\n", + " fig.waiting = false;\n", + " return;\n", + " } else if (\n", + " typeof evt.data === 'string' &&\n", + " evt.data.slice(0, 21) === 'data:image/png;base64'\n", + " ) {\n", + " fig.imageObj.src = evt.data;\n", + " fig.updated_canvas_event();\n", + " fig.waiting = false;\n", + " return;\n", + " }\n", + "\n", + " var msg = JSON.parse(evt.data);\n", + " var msg_type = msg['type'];\n", + "\n", + " // Call the \"handle_{type}\" callback, which takes\n", + " // the figure and JSON message as its only arguments.\n", + " try {\n", + " var callback = fig['handle_' + msg_type];\n", + " } catch (e) {\n", + " console.log(\n", + " \"No handler for the '\" + msg_type + \"' message type: \",\n", + " msg\n", + " );\n", + " return;\n", + " }\n", + "\n", + " if (callback) {\n", + " try {\n", + " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n", + " callback(fig, msg);\n", + " } catch (e) {\n", + " console.log(\n", + " \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n", + " e,\n", + " e.stack,\n", + " msg\n", + " );\n", + " }\n", + " }\n", + " };\n", + "};\n", + "\n", + "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n", + "mpl.findpos = function (e) {\n", + " //this section is from http://www.quirksmode.org/js/events_properties.html\n", + " var targ;\n", + " if (!e) {\n", + " e = window.event;\n", + " }\n", + " if (e.target) {\n", + " targ = e.target;\n", + " } else if (e.srcElement) {\n", + " targ = e.srcElement;\n", + " }\n", + " if (targ.nodeType === 3) {\n", + " // defeat Safari bug\n", + " targ = targ.parentNode;\n", + " }\n", + "\n", + " // pageX,Y are the mouse positions relative to the document\n", + " var boundingRect = targ.getBoundingClientRect();\n", + " var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n", + " var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n", + "\n", + " return { x: x, y: y };\n", + "};\n", + "\n", + "/*\n", + " * return a copy of an object with only non-object keys\n", + " * we need this to avoid circular references\n", + " * http://stackoverflow.com/a/24161582/3208463\n", + " */\n", + "function simpleKeys(original) {\n", + " return Object.keys(original).reduce(function (obj, key) {\n", + " if (typeof original[key] !== 'object') {\n", + " obj[key] = original[key];\n", + " }\n", + " return obj;\n", + " }, {});\n", + "}\n", + "\n", + "mpl.figure.prototype.mouse_event = function (event, name) {\n", + " var canvas_pos = mpl.findpos(event);\n", + "\n", + " if (name === 'button_press') {\n", + " this.canvas.focus();\n", + " this.canvas_div.focus();\n", + " }\n", + "\n", + " var x = canvas_pos.x * this.ratio;\n", + " var y = canvas_pos.y * this.ratio;\n", + "\n", + " this.send_message(name, {\n", + " x: x,\n", + " y: y,\n", + " button: event.button,\n", + " step: event.step,\n", + " guiEvent: simpleKeys(event),\n", + " });\n", + "\n", + " /* This prevents the web browser from automatically changing to\n", + " * the text insertion cursor when the button is pressed. We want\n", + " * to control all of the cursor setting manually through the\n", + " * 'cursor' event from matplotlib */\n", + " event.preventDefault();\n", + " return false;\n", + "};\n", + "\n", + "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n", + " // Handle any extra behaviour associated with a key event\n", + "};\n", + "\n", + "mpl.figure.prototype.key_event = function (event, name) {\n", + " // Prevent repeat events\n", + " if (name === 'key_press') {\n", + " if (event.which === this._key) {\n", + " return;\n", + " } else {\n", + " this._key = event.which;\n", + " }\n", + " }\n", + " if (name === 'key_release') {\n", + " this._key = null;\n", + " }\n", + "\n", + " var value = '';\n", + " if (event.ctrlKey && event.which !== 17) {\n", + " value += 'ctrl+';\n", + " }\n", + " if (event.altKey && event.which !== 18) {\n", + " value += 'alt+';\n", + " }\n", + " if (event.shiftKey && event.which !== 16) {\n", + " value += 'shift+';\n", + " }\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, guiEvent: simpleKeys(event) });\n", + " return false;\n", + "};\n", + "\n", + "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n", + " if (name === 'download') {\n", + " this.handle_save(this, null);\n", + " } else {\n", + " this.send_message('toolbar_button', { name: name });\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n", + " this.message.textContent = tooltip;\n", + "};\n", + "\n", + "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n", + "// prettier-ignore\n", + "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n", + "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n", + "\n", + "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n", + "\n", + "mpl.default_extension = \"png\";/* global mpl */\n", + "\n", + "var comm_websocket_adapter = function (comm) {\n", + " // Create a \"websocket\"-like object which calls the given IPython comm\n", + " // object with the appropriate methods. Currently this is a non binary\n", + " // socket, so there is still some room for performance tuning.\n", + " var ws = {};\n", + "\n", + " ws.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 overridden (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 = document.getElementById(id);\n", + " var ws_proxy = comm_websocket_adapter(comm);\n", + "\n", + " function ondownload(figure, _format) {\n", + " window.open(figure.canvas.toDataURL());\n", + " }\n", + "\n", + " var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n", + "\n", + " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n", + " // web socket which is closed, not our websocket->open comm proxy.\n", + " ws_proxy.onopen();\n", + "\n", + " fig.parent_element = element;\n", + " fig.cell_info = mpl.find_output_cell(\"
\");\n", + " if (!fig.cell_info) {\n", + " console.error('Failed to find cell for figure', id, fig);\n", + " return;\n", + " }\n", + " fig.cell_info[0].output_area.element.on(\n", + " 'cleared',\n", + " { fig: fig },\n", + " fig._remove_fig_handler\n", + " );\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_close = function (fig, msg) {\n", + " var width = fig.canvas.width / fig.ratio;\n", + " fig.cell_info[0].output_area.element.off(\n", + " 'cleared',\n", + " fig._remove_fig_handler\n", + " );\n", + " fig.resizeObserverInstance.unobserve(fig.canvas_div);\n", + "\n", + " // Update the output cell to use the data from the current canvas.\n", + " fig.push_to_output();\n", + " var dataURL = fig.canvas.toDataURL();\n", + " // Re-enable the keyboard manager in IPython - without this line, in FF,\n", + " // the notebook keyboard shortcuts fail.\n", + " IPython.keyboard_manager.enable();\n", + " fig.parent_element.innerHTML =\n", + " '';\n", + " fig.close_ws(fig, msg);\n", + "};\n", + "\n", + "mpl.figure.prototype.close_ws = function (fig, msg) {\n", + " fig.send_message('closing', msg);\n", + " // fig.ws.close()\n", + "};\n", + "\n", + "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n", + " // Turn the data on the canvas into data in the output cell.\n", + " var width = this.canvas.width / this.ratio;\n", + " var dataURL = this.canvas.toDataURL();\n", + " this.cell_info[1]['text/html'] =\n", + " '';\n", + "};\n", + "\n", + "mpl.figure.prototype.updated_canvas_event = function () {\n", + " // Tell IPython that the notebook contents must change.\n", + " IPython.notebook.set_dirty(true);\n", + " this.send_message('ack', {});\n", + " var fig = this;\n", + " // Wait a second, then push the new image to the DOM so\n", + " // that it is saved nicely (might be nice to debounce this).\n", + " setTimeout(function () {\n", + " fig.push_to_output();\n", + " }, 1000);\n", + "};\n", + "\n", + "mpl.figure.prototype._init_toolbar = function () {\n", + " var fig = this;\n", + "\n", + " var toolbar = document.createElement('div');\n", + " toolbar.classList = 'btn-toolbar';\n", + " this.root.appendChild(toolbar);\n", + "\n", + " function on_click_closure(name) {\n", + " return function (_event) {\n", + " return fig.toolbar_button_onclick(name);\n", + " };\n", + " }\n", + "\n", + " function on_mouseover_closure(tooltip) {\n", + " return function (event) {\n", + " if (!event.currentTarget.disabled) {\n", + " return fig.toolbar_button_onmouseover(tooltip);\n", + " }\n", + " };\n", + " }\n", + "\n", + " fig.buttons = {};\n", + " var buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'btn-group';\n", + " var button;\n", + " for (var toolbar_ind in mpl.toolbar_items) {\n", + " var name = mpl.toolbar_items[toolbar_ind][0];\n", + " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", + " var image = mpl.toolbar_items[toolbar_ind][2];\n", + " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", + "\n", + " if (!name) {\n", + " /* Instead of a spacer, we start a new button group. */\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + " buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'btn-group';\n", + " continue;\n", + " }\n", + "\n", + " button = fig.buttons[name] = document.createElement('button');\n", + " button.classList = 'btn btn-default';\n", + " button.href = '#';\n", + " button.title = name;\n", + " button.innerHTML = '';\n", + " button.addEventListener('click', on_click_closure(method_name));\n", + " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", + " buttonGroup.appendChild(button);\n", + " }\n", + "\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + "\n", + " // Add the status bar.\n", + " var status_bar = document.createElement('span');\n", + " status_bar.classList = 'mpl-message pull-right';\n", + " toolbar.appendChild(status_bar);\n", + " this.message = status_bar;\n", + "\n", + " // Add the close button to the window.\n", + " var buttongrp = document.createElement('div');\n", + " buttongrp.classList = 'btn-group inline pull-right';\n", + " button = document.createElement('button');\n", + " button.classList = 'btn btn-mini btn-primary';\n", + " button.href = '#';\n", + " button.title = 'Stop Interaction';\n", + " button.innerHTML = '';\n", + " button.addEventListener('click', function (_evt) {\n", + " fig.handle_close(fig, {});\n", + " });\n", + " button.addEventListener(\n", + " 'mouseover',\n", + " on_mouseover_closure('Stop Interaction')\n", + " );\n", + " buttongrp.appendChild(button);\n", + " var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n", + " titlebar.insertBefore(buttongrp, titlebar.firstChild);\n", + "};\n", + "\n", + "mpl.figure.prototype._remove_fig_handler = function (event) {\n", + " var fig = event.data.fig;\n", + " if (event.target !== this) {\n", + " // Ignore bubbled events from children.\n", + " return;\n", + " }\n", + " fig.close_ws(fig, {});\n", + "};\n", + "\n", + "mpl.figure.prototype._root_extra_style = function (el) {\n", + " el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n", + "};\n", + "\n", + "mpl.figure.prototype._canvas_extra_style = function (el) {\n", + " // this is important to make the div 'focusable\n", + " el.setAttribute('tabindex', 0);\n", + " // reach out to IPython and tell the keyboard manager to turn it's self\n", + " // off when our div gets focus\n", + "\n", + " // location in version 3\n", + " if (IPython.notebook.keyboard_manager) {\n", + " IPython.notebook.keyboard_manager.register_events(el);\n", + " } else {\n", + " // location in version 2\n", + " IPython.keyboard_manager.register_events(el);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype._key_event_extra = function (event, _name) {\n", + " var manager = IPython.notebook.keyboard_manager;\n", + " if (!manager) {\n", + " manager = IPython.keyboard_manager;\n", + " }\n", + "\n", + " // Check for shift+enter\n", + " if (event.shiftKey && event.which === 13) {\n", + " this.canvas_div.blur();\n", + " // select the cell after this one\n", + " var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n", + " IPython.notebook.select(index + 1);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_save = function (fig, _msg) {\n", + " fig.ondownload(fig, null);\n", + "};\n", + "\n", + "mpl.find_output_cell = function (html_output) {\n", + " // Return the cell and output element which can be found *uniquely* in the notebook.\n", + " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n", + " // IPython event is triggered only after the cells have been serialised, which for\n", + " // our purposes (turning an active figure into a static one), is too late.\n", + " var cells = IPython.notebook.get_cells();\n", + " var ncells = cells.length;\n", + " for (var i = 0; i < ncells; i++) {\n", + " var cell = cells[i];\n", + " if (cell.cell_type === 'code') {\n", + " for (var j = 0; j < cell.output_area.outputs.length; j++) {\n", + " var data = cell.output_area.outputs[j];\n", + " if (data.data) {\n", + " // IPython >= 3 moved mimebundle to data attribute of output\n", + " data = data.data;\n", + " }\n", + " if (data['text/html'] === html_output) {\n", + " return [cell, data, j];\n", + " }\n", + " }\n", + " }\n", + " }\n", + "};\n", + "\n", + "// Register the function which deals with the matplotlib target/channel.\n", + "// The kernel may be null if the page has been refreshed.\n", + "if (IPython.notebook.kernel !== null) {\n", + " IPython.notebook.kernel.comm_manager.register_target(\n", + " 'matplotlib',\n", + " mpl.mpl_figure_comm\n", + " );\n", + "}\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "4e5693867ad7499c97a746a485b70982", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(FloatLogSlider(value=0.01, description='Divergence', max=0.0, min=-4.0, step=0.2), FloatSlider(…" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "a50eb0adce1b454aa80e7cfe2879fead", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "interactive_barycenter(array, \"xy\", group=sub_groups)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.5" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/Tutorial_2_CTA_Info.ipynb b/Tutorial_2_CTA_Info.ipynb new file mode 100644 index 0000000..02b7643 --- /dev/null +++ b/Tutorial_2_CTA_Info.ipynb @@ -0,0 +1,5386 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "%load_ext autoreload\n", + "%autoreload 2\n", + "%matplotlib notebook" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "from ctadiv import *" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Select the CTA location and time of observation" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Observer : CTA North\n", + "Location : Roque de los Muchachos , (5327.28509212, -1718.7771125, 3051.78673275) km\n", + "Observation time : 2020-06-20T00:00:00.000\n" + ] + } + ], + "source": [ + "cta = CTA_Info('north','2020-06-20T00:00')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Set source location" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "source: \n" + ] + } + ], + "source": [ + "#print (\"source:\", cta.source)\n", + "cta.set_source_loc(ra=279.232102, dec=38.782316)\n", + "print (\"source:\", cta.source)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Get locations (sun, moon, source)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Plot the naviation plot (Sun, Moon, and a source)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "application/javascript": [ + "/* Put everything inside the global mpl namespace */\n", + "/* global mpl */\n", + "window.mpl = {};\n", + "\n", + "mpl.get_websocket_type = function () {\n", + " if (typeof WebSocket !== 'undefined') {\n", + " return WebSocket;\n", + " } else if (typeof MozWebSocket !== 'undefined') {\n", + " return MozWebSocket;\n", + " } else {\n", + " alert(\n", + " 'Your browser does not have WebSocket support. ' +\n", + " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n", + " 'Firefox 4 and 5 are also supported but you ' +\n", + " 'have to enable WebSockets in about:config.'\n", + " );\n", + " }\n", + "};\n", + "\n", + "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n", + " this.id = figure_id;\n", + "\n", + " this.ws = websocket;\n", + "\n", + " this.supports_binary = this.ws.binaryType !== undefined;\n", + "\n", + " if (!this.supports_binary) {\n", + " var warnings = document.getElementById('mpl-warnings');\n", + " if (warnings) {\n", + " warnings.style.display = 'block';\n", + " warnings.textContent =\n", + " 'This browser does not support binary websocket messages. ' +\n", + " 'Performance may be slow.';\n", + " }\n", + " }\n", + "\n", + " this.imageObj = new Image();\n", + "\n", + " this.context = undefined;\n", + " this.message = undefined;\n", + " this.canvas = undefined;\n", + " this.rubberband_canvas = undefined;\n", + " this.rubberband_context = undefined;\n", + " this.format_dropdown = undefined;\n", + "\n", + " this.image_mode = 'full';\n", + "\n", + " this.root = document.createElement('div');\n", + " this.root.setAttribute('style', 'display: inline-block');\n", + " this._root_extra_style(this.root);\n", + "\n", + " parent_element.appendChild(this.root);\n", + "\n", + " this._init_header(this);\n", + " this._init_canvas(this);\n", + " this._init_toolbar(this);\n", + "\n", + " var fig = this;\n", + "\n", + " this.waiting = false;\n", + "\n", + " this.ws.onopen = function () {\n", + " fig.send_message('supports_binary', { value: fig.supports_binary });\n", + " fig.send_message('send_image_mode', {});\n", + " if (fig.ratio !== 1) {\n", + " fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n", + " }\n", + " fig.send_message('refresh', {});\n", + " };\n", + "\n", + " this.imageObj.onload = function () {\n", + " if (fig.image_mode === 'full') {\n", + " // Full images could contain transparency (where diff images\n", + " // almost always do), so we need to clear the canvas so that\n", + " // there is no ghosting.\n", + " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n", + " }\n", + " fig.context.drawImage(fig.imageObj, 0, 0);\n", + " };\n", + "\n", + " this.imageObj.onunload = function () {\n", + " fig.ws.close();\n", + " };\n", + "\n", + " this.ws.onmessage = this._make_on_message_function(this);\n", + "\n", + " this.ondownload = ondownload;\n", + "};\n", + "\n", + "mpl.figure.prototype._init_header = function () {\n", + " var titlebar = document.createElement('div');\n", + " titlebar.classList =\n", + " 'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n", + " var titletext = document.createElement('div');\n", + " titletext.classList = 'ui-dialog-title';\n", + " titletext.setAttribute(\n", + " 'style',\n", + " 'width: 100%; text-align: center; padding: 3px;'\n", + " );\n", + " titlebar.appendChild(titletext);\n", + " this.root.appendChild(titlebar);\n", + " this.header = titletext;\n", + "};\n", + "\n", + "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n", + "\n", + "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n", + "\n", + "mpl.figure.prototype._init_canvas = function () {\n", + " var fig = this;\n", + "\n", + " var canvas_div = (this.canvas_div = document.createElement('div'));\n", + " canvas_div.setAttribute(\n", + " 'style',\n", + " 'border: 1px solid #ddd;' +\n", + " 'box-sizing: content-box;' +\n", + " 'clear: both;' +\n", + " 'min-height: 1px;' +\n", + " 'min-width: 1px;' +\n", + " 'outline: 0;' +\n", + " 'overflow: hidden;' +\n", + " 'position: relative;' +\n", + " 'resize: both;'\n", + " );\n", + "\n", + " function on_keyboard_event_closure(name) {\n", + " return function (event) {\n", + " return fig.key_event(event, name);\n", + " };\n", + " }\n", + "\n", + " canvas_div.addEventListener(\n", + " 'keydown',\n", + " on_keyboard_event_closure('key_press')\n", + " );\n", + " canvas_div.addEventListener(\n", + " 'keyup',\n", + " on_keyboard_event_closure('key_release')\n", + " );\n", + "\n", + " this._canvas_extra_style(canvas_div);\n", + " this.root.appendChild(canvas_div);\n", + "\n", + " var canvas = (this.canvas = document.createElement('canvas'));\n", + " canvas.classList.add('mpl-canvas');\n", + " canvas.setAttribute('style', 'box-sizing: content-box;');\n", + "\n", + " this.context = canvas.getContext('2d');\n", + "\n", + " var backingStore =\n", + " this.context.backingStorePixelRatio ||\n", + " this.context.webkitBackingStorePixelRatio ||\n", + " this.context.mozBackingStorePixelRatio ||\n", + " this.context.msBackingStorePixelRatio ||\n", + " this.context.oBackingStorePixelRatio ||\n", + " this.context.backingStorePixelRatio ||\n", + " 1;\n", + "\n", + " this.ratio = (window.devicePixelRatio || 1) / backingStore;\n", + " if (this.ratio !== 1) {\n", + " fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n", + " }\n", + "\n", + " var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n", + " 'canvas'\n", + " ));\n", + " rubberband_canvas.setAttribute(\n", + " 'style',\n", + " 'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n", + " );\n", + "\n", + " // Apply a ponyfill if ResizeObserver is not implemented by browser.\n", + " if (this.ResizeObserver === undefined) {\n", + " if (window.ResizeObserver !== undefined) {\n", + " this.ResizeObserver = window.ResizeObserver;\n", + " } else {\n", + " var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n", + " this.ResizeObserver = obs.ResizeObserver;\n", + " }\n", + " }\n", + "\n", + " this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n", + " var nentries = entries.length;\n", + " for (var i = 0; i < nentries; i++) {\n", + " var entry = entries[i];\n", + " var width, height;\n", + " if (entry.contentBoxSize) {\n", + " if (entry.contentBoxSize instanceof Array) {\n", + " // Chrome 84 implements new version of spec.\n", + " width = entry.contentBoxSize[0].inlineSize;\n", + " height = entry.contentBoxSize[0].blockSize;\n", + " } else {\n", + " // Firefox implements old version of spec.\n", + " width = entry.contentBoxSize.inlineSize;\n", + " height = entry.contentBoxSize.blockSize;\n", + " }\n", + " } else {\n", + " // Chrome <84 implements even older version of spec.\n", + " width = entry.contentRect.width;\n", + " height = entry.contentRect.height;\n", + " }\n", + "\n", + " // Keep the size of the canvas and rubber band canvas in sync with\n", + " // the canvas container.\n", + " if (entry.devicePixelContentBoxSize) {\n", + " // Chrome 84 implements new version of spec.\n", + " canvas.setAttribute(\n", + " 'width',\n", + " entry.devicePixelContentBoxSize[0].inlineSize\n", + " );\n", + " canvas.setAttribute(\n", + " 'height',\n", + " entry.devicePixelContentBoxSize[0].blockSize\n", + " );\n", + " } else {\n", + " canvas.setAttribute('width', width * fig.ratio);\n", + " canvas.setAttribute('height', height * fig.ratio);\n", + " }\n", + " canvas.setAttribute(\n", + " 'style',\n", + " 'width: ' + width + 'px; height: ' + height + 'px;'\n", + " );\n", + "\n", + " rubberband_canvas.setAttribute('width', width);\n", + " rubberband_canvas.setAttribute('height', height);\n", + "\n", + " // And update the size in Python. We ignore the initial 0/0 size\n", + " // that occurs as the element is placed into the DOM, which should\n", + " // otherwise not happen due to the minimum size styling.\n", + " if (width != 0 && height != 0) {\n", + " fig.request_resize(width, height);\n", + " }\n", + " }\n", + " });\n", + " this.resizeObserverInstance.observe(canvas_div);\n", + "\n", + " function on_mouse_event_closure(name) {\n", + " return function (event) {\n", + " return fig.mouse_event(event, name);\n", + " };\n", + " }\n", + "\n", + " rubberband_canvas.addEventListener(\n", + " 'mousedown',\n", + " on_mouse_event_closure('button_press')\n", + " );\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseup',\n", + " on_mouse_event_closure('button_release')\n", + " );\n", + " // Throttle sequential mouse events to 1 every 20ms.\n", + " rubberband_canvas.addEventListener(\n", + " 'mousemove',\n", + " on_mouse_event_closure('motion_notify')\n", + " );\n", + "\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseenter',\n", + " on_mouse_event_closure('figure_enter')\n", + " );\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseleave',\n", + " on_mouse_event_closure('figure_leave')\n", + " );\n", + "\n", + " canvas_div.addEventListener('wheel', function (event) {\n", + " if (event.deltaY < 0) {\n", + " event.step = 1;\n", + " } else {\n", + " event.step = -1;\n", + " }\n", + " on_mouse_event_closure('scroll')(event);\n", + " });\n", + "\n", + " canvas_div.appendChild(canvas);\n", + " canvas_div.appendChild(rubberband_canvas);\n", + "\n", + " this.rubberband_context = rubberband_canvas.getContext('2d');\n", + " this.rubberband_context.strokeStyle = '#000000';\n", + "\n", + " this._resize_canvas = function (width, height, forward) {\n", + " if (forward) {\n", + " canvas_div.style.width = width + 'px';\n", + " canvas_div.style.height = height + 'px';\n", + " }\n", + " };\n", + "\n", + " // Disable right mouse context menu.\n", + " this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n", + " event.preventDefault();\n", + " return false;\n", + " });\n", + "\n", + " function set_focus() {\n", + " canvas.focus();\n", + " canvas_div.focus();\n", + " }\n", + "\n", + " window.setTimeout(set_focus, 100);\n", + "};\n", + "\n", + "mpl.figure.prototype._init_toolbar = function () {\n", + " var fig = this;\n", + "\n", + " var toolbar = document.createElement('div');\n", + " toolbar.classList = 'mpl-toolbar';\n", + " this.root.appendChild(toolbar);\n", + "\n", + " function on_click_closure(name) {\n", + " return function (_event) {\n", + " return fig.toolbar_button_onclick(name);\n", + " };\n", + " }\n", + "\n", + " function on_mouseover_closure(tooltip) {\n", + " return function (event) {\n", + " if (!event.currentTarget.disabled) {\n", + " return fig.toolbar_button_onmouseover(tooltip);\n", + " }\n", + " };\n", + " }\n", + "\n", + " fig.buttons = {};\n", + " var buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'mpl-button-group';\n", + " for (var toolbar_ind in mpl.toolbar_items) {\n", + " var name = mpl.toolbar_items[toolbar_ind][0];\n", + " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", + " var image = mpl.toolbar_items[toolbar_ind][2];\n", + " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", + "\n", + " if (!name) {\n", + " /* Instead of a spacer, we start a new button group. */\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + " buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'mpl-button-group';\n", + " continue;\n", + " }\n", + "\n", + " var button = (fig.buttons[name] = document.createElement('button'));\n", + " button.classList = 'mpl-widget';\n", + " button.setAttribute('role', 'button');\n", + " button.setAttribute('aria-disabled', 'false');\n", + " button.addEventListener('click', on_click_closure(method_name));\n", + " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", + "\n", + " var icon_img = document.createElement('img');\n", + " icon_img.src = '_images/' + image + '.png';\n", + " icon_img.srcset = '_images/' + image + '_large.png 2x';\n", + " icon_img.alt = tooltip;\n", + " button.appendChild(icon_img);\n", + "\n", + " buttonGroup.appendChild(button);\n", + " }\n", + "\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + "\n", + " var fmt_picker = document.createElement('select');\n", + " fmt_picker.classList = 'mpl-widget';\n", + " toolbar.appendChild(fmt_picker);\n", + " this.format_dropdown = fmt_picker;\n", + "\n", + " for (var ind in mpl.extensions) {\n", + " var fmt = mpl.extensions[ind];\n", + " var option = document.createElement('option');\n", + " option.selected = fmt === mpl.default_extension;\n", + " option.innerHTML = fmt;\n", + " fmt_picker.appendChild(option);\n", + " }\n", + "\n", + " var status_bar = document.createElement('span');\n", + " status_bar.classList = 'mpl-message';\n", + " toolbar.appendChild(status_bar);\n", + " this.message = status_bar;\n", + "};\n", + "\n", + "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n", + " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n", + " // which will in turn request a refresh of the image.\n", + " this.send_message('resize', { width: x_pixels, height: y_pixels });\n", + "};\n", + "\n", + "mpl.figure.prototype.send_message = function (type, properties) {\n", + " properties['type'] = type;\n", + " properties['figure_id'] = this.id;\n", + " this.ws.send(JSON.stringify(properties));\n", + "};\n", + "\n", + "mpl.figure.prototype.send_draw_message = function () {\n", + " if (!this.waiting) {\n", + " this.waiting = true;\n", + " this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_save = function (fig, _msg) {\n", + " var format_dropdown = fig.format_dropdown;\n", + " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n", + " fig.ondownload(fig, format);\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_resize = function (fig, msg) {\n", + " var size = msg['size'];\n", + " if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n", + " fig._resize_canvas(size[0], size[1], msg['forward']);\n", + " fig.send_message('refresh', {});\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n", + " var x0 = msg['x0'] / fig.ratio;\n", + " var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n", + " var x1 = msg['x1'] / fig.ratio;\n", + " var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n", + " x0 = Math.floor(x0) + 0.5;\n", + " y0 = Math.floor(y0) + 0.5;\n", + " x1 = Math.floor(x1) + 0.5;\n", + " y1 = Math.floor(y1) + 0.5;\n", + " var min_x = Math.min(x0, x1);\n", + " var min_y = Math.min(y0, y1);\n", + " var width = Math.abs(x1 - x0);\n", + " var height = Math.abs(y1 - y0);\n", + "\n", + " fig.rubberband_context.clearRect(\n", + " 0,\n", + " 0,\n", + " fig.canvas.width / fig.ratio,\n", + " fig.canvas.height / fig.ratio\n", + " );\n", + "\n", + " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n", + " // Updates the figure title.\n", + " fig.header.textContent = msg['label'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n", + " var cursor = msg['cursor'];\n", + " switch (cursor) {\n", + " case 0:\n", + " cursor = 'pointer';\n", + " break;\n", + " case 1:\n", + " cursor = 'default';\n", + " break;\n", + " case 2:\n", + " cursor = 'crosshair';\n", + " break;\n", + " case 3:\n", + " cursor = 'move';\n", + " break;\n", + " }\n", + " fig.rubberband_canvas.style.cursor = cursor;\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_message = function (fig, msg) {\n", + " fig.message.textContent = msg['message'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n", + " // Request the server to send over a new figure.\n", + " fig.send_draw_message();\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n", + " fig.image_mode = msg['mode'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n", + " for (var key in msg) {\n", + " if (!(key in fig.buttons)) {\n", + " continue;\n", + " }\n", + " fig.buttons[key].disabled = !msg[key];\n", + " fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n", + " if (msg['mode'] === 'PAN') {\n", + " fig.buttons['Pan'].classList.add('active');\n", + " fig.buttons['Zoom'].classList.remove('active');\n", + " } else if (msg['mode'] === 'ZOOM') {\n", + " fig.buttons['Pan'].classList.remove('active');\n", + " fig.buttons['Zoom'].classList.add('active');\n", + " } else {\n", + " fig.buttons['Pan'].classList.remove('active');\n", + " fig.buttons['Zoom'].classList.remove('active');\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.updated_canvas_event = function () {\n", + " // Called whenever the canvas gets updated.\n", + " this.send_message('ack', {});\n", + "};\n", + "\n", + "// A function to construct a web socket function for onmessage handling.\n", + "// Called in the figure constructor.\n", + "mpl.figure.prototype._make_on_message_function = function (fig) {\n", + " return function socket_on_message(evt) {\n", + " if (evt.data instanceof Blob) {\n", + " /* 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", + "\n", + " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n", + " evt.data\n", + " );\n", + " fig.updated_canvas_event();\n", + " fig.waiting = false;\n", + " return;\n", + " } else if (\n", + " typeof evt.data === 'string' &&\n", + " evt.data.slice(0, 21) === 'data:image/png;base64'\n", + " ) {\n", + " fig.imageObj.src = evt.data;\n", + " fig.updated_canvas_event();\n", + " fig.waiting = false;\n", + " return;\n", + " }\n", + "\n", + " var msg = JSON.parse(evt.data);\n", + " var msg_type = msg['type'];\n", + "\n", + " // Call the \"handle_{type}\" callback, which takes\n", + " // the figure and JSON message as its only arguments.\n", + " try {\n", + " var callback = fig['handle_' + msg_type];\n", + " } catch (e) {\n", + " console.log(\n", + " \"No handler for the '\" + msg_type + \"' message type: \",\n", + " msg\n", + " );\n", + " return;\n", + " }\n", + "\n", + " if (callback) {\n", + " try {\n", + " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n", + " callback(fig, msg);\n", + " } catch (e) {\n", + " console.log(\n", + " \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n", + " e,\n", + " e.stack,\n", + " msg\n", + " );\n", + " }\n", + " }\n", + " };\n", + "};\n", + "\n", + "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n", + "mpl.findpos = function (e) {\n", + " //this section is from http://www.quirksmode.org/js/events_properties.html\n", + " var targ;\n", + " if (!e) {\n", + " e = window.event;\n", + " }\n", + " if (e.target) {\n", + " targ = e.target;\n", + " } else if (e.srcElement) {\n", + " targ = e.srcElement;\n", + " }\n", + " if (targ.nodeType === 3) {\n", + " // defeat Safari bug\n", + " targ = targ.parentNode;\n", + " }\n", + "\n", + " // pageX,Y are the mouse positions relative to the document\n", + " var boundingRect = targ.getBoundingClientRect();\n", + " var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n", + " var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n", + "\n", + " return { x: x, y: y };\n", + "};\n", + "\n", + "/*\n", + " * return a copy of an object with only non-object keys\n", + " * we need this to avoid circular references\n", + " * http://stackoverflow.com/a/24161582/3208463\n", + " */\n", + "function simpleKeys(original) {\n", + " return Object.keys(original).reduce(function (obj, key) {\n", + " if (typeof original[key] !== 'object') {\n", + " obj[key] = original[key];\n", + " }\n", + " return obj;\n", + " }, {});\n", + "}\n", + "\n", + "mpl.figure.prototype.mouse_event = function (event, name) {\n", + " var canvas_pos = mpl.findpos(event);\n", + "\n", + " if (name === 'button_press') {\n", + " this.canvas.focus();\n", + " this.canvas_div.focus();\n", + " }\n", + "\n", + " var x = canvas_pos.x * this.ratio;\n", + " var y = canvas_pos.y * this.ratio;\n", + "\n", + " this.send_message(name, {\n", + " x: x,\n", + " y: y,\n", + " button: event.button,\n", + " step: event.step,\n", + " guiEvent: simpleKeys(event),\n", + " });\n", + "\n", + " /* This prevents the web browser from automatically changing to\n", + " * the text insertion cursor when the button is pressed. We want\n", + " * to control all of the cursor setting manually through the\n", + " * 'cursor' event from matplotlib */\n", + " event.preventDefault();\n", + " return false;\n", + "};\n", + "\n", + "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n", + " // Handle any extra behaviour associated with a key event\n", + "};\n", + "\n", + "mpl.figure.prototype.key_event = function (event, name) {\n", + " // Prevent repeat events\n", + " if (name === 'key_press') {\n", + " if (event.which === this._key) {\n", + " return;\n", + " } else {\n", + " this._key = event.which;\n", + " }\n", + " }\n", + " if (name === 'key_release') {\n", + " this._key = null;\n", + " }\n", + "\n", + " var value = '';\n", + " if (event.ctrlKey && event.which !== 17) {\n", + " value += 'ctrl+';\n", + " }\n", + " if (event.altKey && event.which !== 18) {\n", + " value += 'alt+';\n", + " }\n", + " if (event.shiftKey && event.which !== 16) {\n", + " value += 'shift+';\n", + " }\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, guiEvent: simpleKeys(event) });\n", + " return false;\n", + "};\n", + "\n", + "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n", + " if (name === 'download') {\n", + " this.handle_save(this, null);\n", + " } else {\n", + " this.send_message('toolbar_button', { name: name });\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n", + " this.message.textContent = tooltip;\n", + "};\n", + "\n", + "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n", + "// prettier-ignore\n", + "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n", + "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n", + "\n", + "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n", + "\n", + "mpl.default_extension = \"png\";/* global mpl */\n", + "\n", + "var comm_websocket_adapter = function (comm) {\n", + " // Create a \"websocket\"-like object which calls the given IPython comm\n", + " // object with the appropriate methods. Currently this is a non binary\n", + " // socket, so there is still some room for performance tuning.\n", + " var ws = {};\n", + "\n", + " ws.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 overridden (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 = document.getElementById(id);\n", + " var ws_proxy = comm_websocket_adapter(comm);\n", + "\n", + " function ondownload(figure, _format) {\n", + " window.open(figure.canvas.toDataURL());\n", + " }\n", + "\n", + " var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n", + "\n", + " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n", + " // web socket which is closed, not our websocket->open comm proxy.\n", + " ws_proxy.onopen();\n", + "\n", + " fig.parent_element = element;\n", + " fig.cell_info = mpl.find_output_cell(\"
\");\n", + " if (!fig.cell_info) {\n", + " console.error('Failed to find cell for figure', id, fig);\n", + " return;\n", + " }\n", + " fig.cell_info[0].output_area.element.on(\n", + " 'cleared',\n", + " { fig: fig },\n", + " fig._remove_fig_handler\n", + " );\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_close = function (fig, msg) {\n", + " var width = fig.canvas.width / fig.ratio;\n", + " fig.cell_info[0].output_area.element.off(\n", + " 'cleared',\n", + " fig._remove_fig_handler\n", + " );\n", + " fig.resizeObserverInstance.unobserve(fig.canvas_div);\n", + "\n", + " // Update the output cell to use the data from the current canvas.\n", + " fig.push_to_output();\n", + " var dataURL = fig.canvas.toDataURL();\n", + " // Re-enable the keyboard manager in IPython - without this line, in FF,\n", + " // the notebook keyboard shortcuts fail.\n", + " IPython.keyboard_manager.enable();\n", + " fig.parent_element.innerHTML =\n", + " '';\n", + " fig.close_ws(fig, msg);\n", + "};\n", + "\n", + "mpl.figure.prototype.close_ws = function (fig, msg) {\n", + " fig.send_message('closing', msg);\n", + " // fig.ws.close()\n", + "};\n", + "\n", + "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n", + " // Turn the data on the canvas into data in the output cell.\n", + " var width = this.canvas.width / this.ratio;\n", + " var dataURL = this.canvas.toDataURL();\n", + " this.cell_info[1]['text/html'] =\n", + " '';\n", + "};\n", + "\n", + "mpl.figure.prototype.updated_canvas_event = function () {\n", + " // Tell IPython that the notebook contents must change.\n", + " IPython.notebook.set_dirty(true);\n", + " this.send_message('ack', {});\n", + " var fig = this;\n", + " // Wait a second, then push the new image to the DOM so\n", + " // that it is saved nicely (might be nice to debounce this).\n", + " setTimeout(function () {\n", + " fig.push_to_output();\n", + " }, 1000);\n", + "};\n", + "\n", + "mpl.figure.prototype._init_toolbar = function () {\n", + " var fig = this;\n", + "\n", + " var toolbar = document.createElement('div');\n", + " toolbar.classList = 'btn-toolbar';\n", + " this.root.appendChild(toolbar);\n", + "\n", + " function on_click_closure(name) {\n", + " return function (_event) {\n", + " return fig.toolbar_button_onclick(name);\n", + " };\n", + " }\n", + "\n", + " function on_mouseover_closure(tooltip) {\n", + " return function (event) {\n", + " if (!event.currentTarget.disabled) {\n", + " return fig.toolbar_button_onmouseover(tooltip);\n", + " }\n", + " };\n", + " }\n", + "\n", + " fig.buttons = {};\n", + " var buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'btn-group';\n", + " var button;\n", + " for (var toolbar_ind in mpl.toolbar_items) {\n", + " var name = mpl.toolbar_items[toolbar_ind][0];\n", + " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", + " var image = mpl.toolbar_items[toolbar_ind][2];\n", + " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", + "\n", + " if (!name) {\n", + " /* Instead of a spacer, we start a new button group. */\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + " buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'btn-group';\n", + " continue;\n", + " }\n", + "\n", + " button = fig.buttons[name] = document.createElement('button');\n", + " button.classList = 'btn btn-default';\n", + " button.href = '#';\n", + " button.title = name;\n", + " button.innerHTML = '';\n", + " button.addEventListener('click', on_click_closure(method_name));\n", + " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", + " buttonGroup.appendChild(button);\n", + " }\n", + "\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + "\n", + " // Add the status bar.\n", + " var status_bar = document.createElement('span');\n", + " status_bar.classList = 'mpl-message pull-right';\n", + " toolbar.appendChild(status_bar);\n", + " this.message = status_bar;\n", + "\n", + " // Add the close button to the window.\n", + " var buttongrp = document.createElement('div');\n", + " buttongrp.classList = 'btn-group inline pull-right';\n", + " button = document.createElement('button');\n", + " button.classList = 'btn btn-mini btn-primary';\n", + " button.href = '#';\n", + " button.title = 'Stop Interaction';\n", + " button.innerHTML = '';\n", + " button.addEventListener('click', function (_evt) {\n", + " fig.handle_close(fig, {});\n", + " });\n", + " button.addEventListener(\n", + " 'mouseover',\n", + " on_mouseover_closure('Stop Interaction')\n", + " );\n", + " buttongrp.appendChild(button);\n", + " var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n", + " titlebar.insertBefore(buttongrp, titlebar.firstChild);\n", + "};\n", + "\n", + "mpl.figure.prototype._remove_fig_handler = function (event) {\n", + " var fig = event.data.fig;\n", + " if (event.target !== this) {\n", + " // Ignore bubbled events from children.\n", + " return;\n", + " }\n", + " fig.close_ws(fig, {});\n", + "};\n", + "\n", + "mpl.figure.prototype._root_extra_style = function (el) {\n", + " el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n", + "};\n", + "\n", + "mpl.figure.prototype._canvas_extra_style = function (el) {\n", + " // this is important to make the div 'focusable\n", + " el.setAttribute('tabindex', 0);\n", + " // reach out to IPython and tell the keyboard manager to turn it's self\n", + " // off when our div gets focus\n", + "\n", + " // location in version 3\n", + " if (IPython.notebook.keyboard_manager) {\n", + " IPython.notebook.keyboard_manager.register_events(el);\n", + " } else {\n", + " // location in version 2\n", + " IPython.keyboard_manager.register_events(el);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype._key_event_extra = function (event, _name) {\n", + " var manager = IPython.notebook.keyboard_manager;\n", + " if (!manager) {\n", + " manager = IPython.keyboard_manager;\n", + " }\n", + "\n", + " // Check for shift+enter\n", + " if (event.shiftKey && event.which === 13) {\n", + " this.canvas_div.blur();\n", + " // select the cell after this one\n", + " var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n", + " IPython.notebook.select(index + 1);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_save = function (fig, _msg) {\n", + " fig.ondownload(fig, null);\n", + "};\n", + "\n", + "mpl.find_output_cell = function (html_output) {\n", + " // Return the cell and output element which can be found *uniquely* in the notebook.\n", + " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n", + " // IPython event is triggered only after the cells have been serialised, which for\n", + " // our purposes (turning an active figure into a static one), is too late.\n", + " var cells = IPython.notebook.get_cells();\n", + " var ncells = cells.length;\n", + " for (var i = 0; i < ncells; i++) {\n", + " var cell = cells[i];\n", + " if (cell.cell_type === 'code') {\n", + " for (var j = 0; j < cell.output_area.outputs.length; j++) {\n", + " var data = cell.output_area.outputs[j];\n", + " if (data.data) {\n", + " // IPython >= 3 moved mimebundle to data attribute of output\n", + " data = data.data;\n", + " }\n", + " if (data['text/html'] === html_output) {\n", + " return [cell, data, j];\n", + " }\n", + " }\n", + " }\n", + " }\n", + "};\n", + "\n", + "// Register the function which deals with the matplotlib target/channel.\n", + "// The kernel may be null if the page has been refreshed.\n", + "if (IPython.notebook.kernel !== null) {\n", + " IPython.notebook.kernel.comm_manager.register_target(\n", + " 'matplotlib',\n", + " mpl.mpl_figure_comm\n", + " );\n", + "}\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cta.navigation_plot(label=\"Vega\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Load array and pointing to a source" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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' +\n", + " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n", + " 'Firefox 4 and 5 are also supported but you ' +\n", + " 'have to enable WebSockets in about:config.'\n", + " );\n", + " }\n", + "};\n", + "\n", + "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n", + " this.id = figure_id;\n", + "\n", + " this.ws = websocket;\n", + "\n", + " this.supports_binary = this.ws.binaryType !== undefined;\n", + "\n", + " if (!this.supports_binary) {\n", + " var warnings = document.getElementById('mpl-warnings');\n", + " if (warnings) {\n", + " warnings.style.display = 'block';\n", + " warnings.textContent =\n", + " 'This browser does not support binary websocket messages. ' +\n", + " 'Performance may be slow.';\n", + " }\n", + " }\n", + "\n", + " this.imageObj = new Image();\n", + "\n", + " this.context = undefined;\n", + " this.message = undefined;\n", + " this.canvas = undefined;\n", + " this.rubberband_canvas = undefined;\n", + " this.rubberband_context = undefined;\n", + " this.format_dropdown = undefined;\n", + "\n", + " this.image_mode = 'full';\n", + "\n", + " this.root = document.createElement('div');\n", + " this.root.setAttribute('style', 'display: inline-block');\n", + " this._root_extra_style(this.root);\n", + "\n", + " parent_element.appendChild(this.root);\n", + "\n", + " this._init_header(this);\n", + " this._init_canvas(this);\n", + " this._init_toolbar(this);\n", + "\n", + " var fig = this;\n", + "\n", + " this.waiting = false;\n", + "\n", + " this.ws.onopen = function () {\n", + " fig.send_message('supports_binary', { value: fig.supports_binary });\n", + " fig.send_message('send_image_mode', {});\n", + " if (fig.ratio !== 1) {\n", + " fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n", + " }\n", + " fig.send_message('refresh', {});\n", + " };\n", + "\n", + " this.imageObj.onload = function () {\n", + " if (fig.image_mode === 'full') {\n", + " // Full images could contain transparency (where diff images\n", + " // almost always do), so we need to clear the canvas so that\n", + " // there is no ghosting.\n", + " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n", + " }\n", + " fig.context.drawImage(fig.imageObj, 0, 0);\n", + " };\n", + "\n", + " this.imageObj.onunload = function () {\n", + " fig.ws.close();\n", + " };\n", + "\n", + " this.ws.onmessage = this._make_on_message_function(this);\n", + "\n", + " this.ondownload = ondownload;\n", + "};\n", + "\n", + "mpl.figure.prototype._init_header = function () {\n", + " var titlebar = document.createElement('div');\n", + " titlebar.classList =\n", + " 'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n", + " var titletext = document.createElement('div');\n", + " titletext.classList = 'ui-dialog-title';\n", + " titletext.setAttribute(\n", + " 'style',\n", + " 'width: 100%; 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position: absolute; left: 0; top: 0; z-index: 1;'\n", + " );\n", + "\n", + " // Apply a ponyfill if ResizeObserver is not implemented by browser.\n", + " if (this.ResizeObserver === undefined) {\n", + " if (window.ResizeObserver !== undefined) {\n", + " this.ResizeObserver = window.ResizeObserver;\n", + " } else {\n", + " var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n", + " this.ResizeObserver = obs.ResizeObserver;\n", + " }\n", + " }\n", + "\n", + " this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n", + " var nentries = entries.length;\n", + " for (var i = 0; i < nentries; i++) {\n", + " var entry = entries[i];\n", + " var width, height;\n", + " if (entry.contentBoxSize) {\n", + " if (entry.contentBoxSize instanceof Array) {\n", + " // Chrome 84 implements new version of spec.\n", + " width = entry.contentBoxSize[0].inlineSize;\n", + " height = entry.contentBoxSize[0].blockSize;\n", + " } else {\n", + " // Firefox implements old version of spec.\n", + " width = entry.contentBoxSize.inlineSize;\n", + " height = entry.contentBoxSize.blockSize;\n", + " }\n", + " } else {\n", + " // Chrome <84 implements even older version of spec.\n", + " width = entry.contentRect.width;\n", + " height = entry.contentRect.height;\n", + " }\n", + "\n", + " // Keep the size of the canvas and rubber band canvas in sync with\n", + " // the canvas container.\n", + " if (entry.devicePixelContentBoxSize) {\n", + " // Chrome 84 implements new version of spec.\n", + " canvas.setAttribute(\n", + " 'width',\n", + " entry.devicePixelContentBoxSize[0].inlineSize\n", + " );\n", + " canvas.setAttribute(\n", + " 'height',\n", + " entry.devicePixelContentBoxSize[0].blockSize\n", + " );\n", + " } else {\n", + " canvas.setAttribute('width', width * fig.ratio);\n", + " canvas.setAttribute('height', height * fig.ratio);\n", + " }\n", + " canvas.setAttribute(\n", + " 'style',\n", + " 'width: ' + width + 'px; 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'mouseenter',\n", + " on_mouse_event_closure('figure_enter')\n", + " );\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseleave',\n", + " on_mouse_event_closure('figure_leave')\n", + " );\n", + "\n", + " canvas_div.addEventListener('wheel', function (event) {\n", + " if (event.deltaY < 0) {\n", + " event.step = 1;\n", + " } else {\n", + " event.step = -1;\n", + " }\n", + " on_mouse_event_closure('scroll')(event);\n", + " });\n", + "\n", + " canvas_div.appendChild(canvas);\n", + " canvas_div.appendChild(rubberband_canvas);\n", + "\n", + " this.rubberband_context = rubberband_canvas.getContext('2d');\n", + " this.rubberband_context.strokeStyle = '#000000';\n", + "\n", + " this._resize_canvas = function (width, height, forward) {\n", + " if (forward) {\n", + " canvas_div.style.width = width + 'px';\n", + " canvas_div.style.height = height + 'px';\n", + " }\n", + " };\n", + "\n", + " // Disable right mouse context menu.\n", + " this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n", + " event.preventDefault();\n", + " return false;\n", + " });\n", + "\n", + " function set_focus() {\n", + " canvas.focus();\n", + " canvas_div.focus();\n", + " }\n", + "\n", + " window.setTimeout(set_focus, 100);\n", + "};\n", + "\n", + "mpl.figure.prototype._init_toolbar = function () {\n", + " var fig = this;\n", + "\n", + " var toolbar = document.createElement('div');\n", + " toolbar.classList = 'mpl-toolbar';\n", + " this.root.appendChild(toolbar);\n", + "\n", + " function on_click_closure(name) {\n", + " return function (_event) {\n", + " return fig.toolbar_button_onclick(name);\n", + " };\n", + " }\n", + "\n", + " function on_mouseover_closure(tooltip) {\n", + " return function (event) {\n", + " if (!event.currentTarget.disabled) {\n", + " return fig.toolbar_button_onmouseover(tooltip);\n", + " }\n", + " };\n", + " }\n", + "\n", + " fig.buttons = {};\n", + " var buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'mpl-button-group';\n", + " for (var toolbar_ind in mpl.toolbar_items) {\n", + " var name = mpl.toolbar_items[toolbar_ind][0];\n", + " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", + " var image = mpl.toolbar_items[toolbar_ind][2];\n", + " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", + "\n", + " if (!name) {\n", + " /* Instead of a spacer, we start a new button group. */\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + " buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'mpl-button-group';\n", + " continue;\n", + " }\n", + "\n", + " var button = (fig.buttons[name] = document.createElement('button'));\n", + " button.classList = 'mpl-widget';\n", + " button.setAttribute('role', 'button');\n", + " button.setAttribute('aria-disabled', 'false');\n", + " button.addEventListener('click', on_click_closure(method_name));\n", + " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", + "\n", + " var icon_img = document.createElement('img');\n", + " icon_img.src = '_images/' + image + '.png';\n", + " icon_img.srcset = '_images/' + image + '_large.png 2x';\n", + " icon_img.alt = tooltip;\n", + " button.appendChild(icon_img);\n", + "\n", + " buttonGroup.appendChild(button);\n", + " }\n", + "\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + "\n", + " var fmt_picker = document.createElement('select');\n", + " fmt_picker.classList = 'mpl-widget';\n", + " toolbar.appendChild(fmt_picker);\n", + " this.format_dropdown = fmt_picker;\n", + "\n", + " for (var ind in mpl.extensions) {\n", + " var fmt = mpl.extensions[ind];\n", + " var option = document.createElement('option');\n", + " option.selected = fmt === mpl.default_extension;\n", + " option.innerHTML = fmt;\n", + " fmt_picker.appendChild(option);\n", + " }\n", + "\n", + " var status_bar = document.createElement('span');\n", + " status_bar.classList = 'mpl-message';\n", + " toolbar.appendChild(status_bar);\n", + " this.message = status_bar;\n", + "};\n", + "\n", + "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n", + " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n", + " // which will in turn request a refresh of the image.\n", + " this.send_message('resize', { width: x_pixels, height: y_pixels });\n", + "};\n", + "\n", + "mpl.figure.prototype.send_message = function (type, properties) {\n", + " properties['type'] = type;\n", + " properties['figure_id'] = this.id;\n", + " this.ws.send(JSON.stringify(properties));\n", + "};\n", + "\n", + "mpl.figure.prototype.send_draw_message = function () {\n", + " if (!this.waiting) {\n", + " this.waiting = true;\n", + " this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_save = function (fig, _msg) {\n", + " var format_dropdown = fig.format_dropdown;\n", + " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n", + " fig.ondownload(fig, format);\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_resize = function (fig, msg) {\n", + " var size = msg['size'];\n", + " if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n", + " fig._resize_canvas(size[0], size[1], msg['forward']);\n", + " fig.send_message('refresh', {});\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n", + " var x0 = msg['x0'] / fig.ratio;\n", + " var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n", + " var x1 = msg['x1'] / fig.ratio;\n", + " var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n", + " x0 = Math.floor(x0) + 0.5;\n", + " y0 = Math.floor(y0) + 0.5;\n", + " x1 = Math.floor(x1) + 0.5;\n", + " y1 = Math.floor(y1) + 0.5;\n", + " var min_x = Math.min(x0, x1);\n", + " var min_y = Math.min(y0, y1);\n", + " var width = Math.abs(x1 - x0);\n", + " var height = Math.abs(y1 - y0);\n", + "\n", + " fig.rubberband_context.clearRect(\n", + " 0,\n", + " 0,\n", + " fig.canvas.width / fig.ratio,\n", + " fig.canvas.height / fig.ratio\n", + " );\n", + "\n", + " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n", + " // Updates the figure title.\n", + " fig.header.textContent = msg['label'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n", + " var cursor = msg['cursor'];\n", + " switch (cursor) {\n", + " case 0:\n", + " cursor = 'pointer';\n", + " break;\n", + " case 1:\n", + " cursor = 'default';\n", + " break;\n", + " case 2:\n", + " cursor = 'crosshair';\n", + " break;\n", + " case 3:\n", + " cursor = 'move';\n", + " break;\n", + " }\n", + " fig.rubberband_canvas.style.cursor = cursor;\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_message = function (fig, msg) {\n", + " fig.message.textContent = msg['message'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n", + " // Request the server to send over a new figure.\n", + " fig.send_draw_message();\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n", + " fig.image_mode = msg['mode'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n", + " for (var key in msg) {\n", + " if (!(key in fig.buttons)) {\n", + " continue;\n", + " }\n", + " fig.buttons[key].disabled = !msg[key];\n", + " fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n", + " if (msg['mode'] === 'PAN') {\n", + " fig.buttons['Pan'].classList.add('active');\n", + " fig.buttons['Zoom'].classList.remove('active');\n", + " } else if (msg['mode'] === 'ZOOM') {\n", + " fig.buttons['Pan'].classList.remove('active');\n", + " fig.buttons['Zoom'].classList.add('active');\n", + " } else {\n", + " fig.buttons['Pan'].classList.remove('active');\n", + " fig.buttons['Zoom'].classList.remove('active');\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.updated_canvas_event = function () {\n", + " // Called whenever the canvas gets updated.\n", + " this.send_message('ack', {});\n", + "};\n", + "\n", + "// A function to construct a web socket function for onmessage handling.\n", + "// Called in the figure constructor.\n", + "mpl.figure.prototype._make_on_message_function = function (fig) {\n", + " return function socket_on_message(evt) {\n", + " if (evt.data instanceof Blob) {\n", + " /* 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", + "\n", + " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n", + " evt.data\n", + " );\n", + " fig.updated_canvas_event();\n", + " fig.waiting = false;\n", + " return;\n", + " } else if (\n", + " typeof evt.data === 'string' &&\n", + " evt.data.slice(0, 21) === 'data:image/png;base64'\n", + " ) {\n", + " fig.imageObj.src = evt.data;\n", + " fig.updated_canvas_event();\n", + " fig.waiting = false;\n", + " return;\n", + " }\n", + "\n", + " var msg = JSON.parse(evt.data);\n", + " var msg_type = msg['type'];\n", + "\n", + " // Call the \"handle_{type}\" callback, which takes\n", + " // the figure and JSON message as its only arguments.\n", + " try {\n", + " var callback = fig['handle_' + msg_type];\n", + " } catch (e) {\n", + " console.log(\n", + " \"No handler for the '\" + msg_type + \"' message type: \",\n", + " msg\n", + " );\n", + " return;\n", + " }\n", + "\n", + " if (callback) {\n", + " try {\n", + " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n", + " callback(fig, msg);\n", + " } catch (e) {\n", + " console.log(\n", + " \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n", + " e,\n", + " e.stack,\n", + " msg\n", + " );\n", + " }\n", + " }\n", + " };\n", + "};\n", + "\n", + "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n", + "mpl.findpos = function (e) {\n", + " //this section is from http://www.quirksmode.org/js/events_properties.html\n", + " var targ;\n", + " if (!e) {\n", + " e = window.event;\n", + " }\n", + " if (e.target) {\n", + " targ = e.target;\n", + " } else if (e.srcElement) {\n", + " targ = e.srcElement;\n", + " }\n", + " if (targ.nodeType === 3) {\n", + " // defeat Safari bug\n", + " targ = targ.parentNode;\n", + " }\n", + "\n", + " // pageX,Y are the mouse positions relative to the document\n", + " var boundingRect = targ.getBoundingClientRect();\n", + " var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n", + " var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n", + "\n", + " return { x: x, y: y };\n", + "};\n", + "\n", + "/*\n", + " * return a copy of an object with only non-object keys\n", + " * we need this to avoid circular references\n", + " * http://stackoverflow.com/a/24161582/3208463\n", + " */\n", + "function simpleKeys(original) {\n", + " return Object.keys(original).reduce(function (obj, key) {\n", + " if (typeof original[key] !== 'object') {\n", + " obj[key] = original[key];\n", + " }\n", + " return obj;\n", + " }, {});\n", + "}\n", + "\n", + "mpl.figure.prototype.mouse_event = function (event, name) {\n", + " var canvas_pos = mpl.findpos(event);\n", + "\n", + " if (name === 'button_press') {\n", + " this.canvas.focus();\n", + " this.canvas_div.focus();\n", + " }\n", + "\n", + " var x = canvas_pos.x * this.ratio;\n", + " var y = canvas_pos.y * this.ratio;\n", + "\n", + " this.send_message(name, {\n", + " x: x,\n", + " y: y,\n", + " button: event.button,\n", + " step: event.step,\n", + " guiEvent: simpleKeys(event),\n", + " });\n", + "\n", + " /* This prevents the web browser from automatically changing to\n", + " * the text insertion cursor when the button is pressed. We want\n", + " * to control all of the cursor setting manually through the\n", + " * 'cursor' event from matplotlib */\n", + " event.preventDefault();\n", + " return false;\n", + "};\n", + "\n", + "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n", + " // Handle any extra behaviour associated with a key event\n", + "};\n", + "\n", + "mpl.figure.prototype.key_event = function (event, name) {\n", + " // Prevent repeat events\n", + " if (name === 'key_press') {\n", + " if (event.which === this._key) {\n", + " return;\n", + " } else {\n", + " this._key = event.which;\n", + " }\n", + " }\n", + " if (name === 'key_release') {\n", + " this._key = null;\n", + " }\n", + "\n", + " var value = '';\n", + " if (event.ctrlKey && event.which !== 17) {\n", + " value += 'ctrl+';\n", + " }\n", + " if (event.altKey && event.which !== 18) {\n", + " value += 'alt+';\n", + " }\n", + " if (event.shiftKey && event.which !== 16) {\n", + " value += 'shift+';\n", + " }\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, guiEvent: simpleKeys(event) });\n", + " return false;\n", + "};\n", + "\n", + "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n", + " if (name === 'download') {\n", + " this.handle_save(this, null);\n", + " } else {\n", + " this.send_message('toolbar_button', { name: name });\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n", + " this.message.textContent = tooltip;\n", + "};\n", + "\n", + "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n", + "// prettier-ignore\n", + "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n", + "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n", + "\n", + "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n", + "\n", + "mpl.default_extension = \"png\";/* global mpl */\n", + "\n", + "var comm_websocket_adapter = function (comm) {\n", + " // Create a \"websocket\"-like object which calls the given IPython comm\n", + " // object with the appropriate methods. Currently this is a non binary\n", + " // socket, so there is still some room for performance tuning.\n", + " var ws = {};\n", + "\n", + " ws.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 overridden (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 = document.getElementById(id);\n", + " var ws_proxy = comm_websocket_adapter(comm);\n", + "\n", + " function ondownload(figure, _format) {\n", + " window.open(figure.canvas.toDataURL());\n", + " }\n", + "\n", + " var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n", + "\n", + " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n", + " // web socket which is closed, not our websocket->open comm proxy.\n", + " ws_proxy.onopen();\n", + "\n", + " fig.parent_element = element;\n", + " fig.cell_info = mpl.find_output_cell(\"
\");\n", + " if (!fig.cell_info) {\n", + " console.error('Failed to find cell for figure', id, fig);\n", + " return;\n", + " }\n", + " fig.cell_info[0].output_area.element.on(\n", + " 'cleared',\n", + " { fig: fig },\n", + " fig._remove_fig_handler\n", + " );\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_close = function (fig, msg) {\n", + " var width = fig.canvas.width / fig.ratio;\n", + " fig.cell_info[0].output_area.element.off(\n", + " 'cleared',\n", + " fig._remove_fig_handler\n", + " );\n", + " fig.resizeObserverInstance.unobserve(fig.canvas_div);\n", + "\n", + " // Update the output cell to use the data from the current canvas.\n", + " fig.push_to_output();\n", + " var dataURL = fig.canvas.toDataURL();\n", + " // Re-enable the keyboard manager in IPython - without this line, in FF,\n", + " // the notebook keyboard shortcuts fail.\n", + " IPython.keyboard_manager.enable();\n", + " fig.parent_element.innerHTML =\n", + " '';\n", + " fig.close_ws(fig, msg);\n", + "};\n", + "\n", + "mpl.figure.prototype.close_ws = function (fig, msg) {\n", + " fig.send_message('closing', msg);\n", + " // fig.ws.close()\n", + "};\n", + "\n", + "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n", + " // Turn the data on the canvas into data in the output cell.\n", + " var width = this.canvas.width / this.ratio;\n", + " var dataURL = this.canvas.toDataURL();\n", + " this.cell_info[1]['text/html'] =\n", + " '';\n", + "};\n", + "\n", + "mpl.figure.prototype.updated_canvas_event = function () {\n", + " // Tell IPython that the notebook contents must change.\n", + " IPython.notebook.set_dirty(true);\n", + " this.send_message('ack', {});\n", + " var fig = this;\n", + " // Wait a second, then push the new image to the DOM so\n", + " // that it is saved nicely (might be nice to debounce this).\n", + " setTimeout(function () {\n", + " fig.push_to_output();\n", + " }, 1000);\n", + "};\n", + "\n", + "mpl.figure.prototype._init_toolbar = function () {\n", + " var fig = this;\n", + "\n", + " var toolbar = document.createElement('div');\n", + " toolbar.classList = 'btn-toolbar';\n", + " this.root.appendChild(toolbar);\n", + "\n", + " function on_click_closure(name) {\n", + " return function (_event) {\n", + " return fig.toolbar_button_onclick(name);\n", + " };\n", + " }\n", + "\n", + " function on_mouseover_closure(tooltip) {\n", + " return function (event) {\n", + " if (!event.currentTarget.disabled) {\n", + " return fig.toolbar_button_onmouseover(tooltip);\n", + " }\n", + " };\n", + " }\n", + "\n", + " fig.buttons = {};\n", + " var buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'btn-group';\n", + " var button;\n", + " for (var toolbar_ind in mpl.toolbar_items) {\n", + " var name = mpl.toolbar_items[toolbar_ind][0];\n", + " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", + " var image = mpl.toolbar_items[toolbar_ind][2];\n", + " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", + "\n", + " if (!name) {\n", + " /* Instead of a spacer, we start a new button group. */\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + " buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'btn-group';\n", + " continue;\n", + " }\n", + "\n", + " button = fig.buttons[name] = document.createElement('button');\n", + " button.classList = 'btn btn-default';\n", + " button.href = '#';\n", + " button.title = name;\n", + " button.innerHTML = '';\n", + " button.addEventListener('click', on_click_closure(method_name));\n", + " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", + " buttonGroup.appendChild(button);\n", + " }\n", + "\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + "\n", + " // Add the status bar.\n", + " var status_bar = document.createElement('span');\n", + " status_bar.classList = 'mpl-message pull-right';\n", + " toolbar.appendChild(status_bar);\n", + " this.message = status_bar;\n", + "\n", + " // Add the close button to the window.\n", + " var buttongrp = document.createElement('div');\n", + " buttongrp.classList = 'btn-group inline pull-right';\n", + " button = document.createElement('button');\n", + " button.classList = 'btn btn-mini btn-primary';\n", + " button.href = '#';\n", + " button.title = 'Stop Interaction';\n", + " button.innerHTML = '';\n", + " button.addEventListener('click', function (_evt) {\n", + " fig.handle_close(fig, {});\n", + " });\n", + " button.addEventListener(\n", + " 'mouseover',\n", + " on_mouseover_closure('Stop Interaction')\n", + " );\n", + " buttongrp.appendChild(button);\n", + " var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n", + " titlebar.insertBefore(buttongrp, titlebar.firstChild);\n", + "};\n", + "\n", + "mpl.figure.prototype._remove_fig_handler = function (event) {\n", + " var fig = event.data.fig;\n", + " if (event.target !== this) {\n", + " // Ignore bubbled events from children.\n", + " return;\n", + " }\n", + " fig.close_ws(fig, {});\n", + "};\n", + "\n", + "mpl.figure.prototype._root_extra_style = function (el) {\n", + " el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n", + "};\n", + "\n", + "mpl.figure.prototype._canvas_extra_style = function (el) {\n", + " // this is important to make the div 'focusable\n", + " el.setAttribute('tabindex', 0);\n", + " // reach out to IPython and tell the keyboard manager to turn it's self\n", + " // off when our div gets focus\n", + "\n", + " // location in version 3\n", + " if (IPython.notebook.keyboard_manager) {\n", + " IPython.notebook.keyboard_manager.register_events(el);\n", + " } else {\n", + " // location in version 2\n", + " IPython.keyboard_manager.register_events(el);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype._key_event_extra = function (event, _name) {\n", + " var manager = IPython.notebook.keyboard_manager;\n", + " if (!manager) {\n", + " manager = IPython.keyboard_manager;\n", + " }\n", + "\n", + " // Check for shift+enter\n", + " if (event.shiftKey && event.which === 13) {\n", + " this.canvas_div.blur();\n", + " // select the cell after this one\n", + " var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n", + " IPython.notebook.select(index + 1);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_save = function (fig, _msg) {\n", + " fig.ondownload(fig, null);\n", + "};\n", + "\n", + "mpl.find_output_cell = function (html_output) {\n", + " // Return the cell and output element which can be found *uniquely* in the notebook.\n", + " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n", + " // IPython event is triggered only after the cells have been serialised, which for\n", + " // our purposes (turning an active figure into a static one), is too late.\n", + " var cells = IPython.notebook.get_cells();\n", + " var ncells = cells.length;\n", + " for (var i = 0; i < ncells; i++) {\n", + " var cell = cells[i];\n", + " if (cell.cell_type === 'code') {\n", + " for (var j = 0; j < cell.output_area.outputs.length; j++) {\n", + " var data = cell.output_area.outputs[j];\n", + " if (data.data) {\n", + " // IPython >= 3 moved mimebundle to data attribute of output\n", + " data = data.data;\n", + " }\n", + " if (data['text/html'] === html_output) {\n", + " return [cell, data, j];\n", + " }\n", + " }\n", + " }\n", + " }\n", + "};\n", + "\n", + "// Register the function which deals with the matplotlib target/channel.\n", + "// The kernel may be null if the page has been refreshed.\n", + "if (IPython.notebook.kernel !== null) {\n", + " IPython.notebook.kernel.comm_manager.register_target(\n", + " 'matplotlib',\n", + " mpl.mpl_figure_comm\n", + " );\n", + "}\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "No handles with labels found to put in legend.\n" + ] + } + ], + "source": [ + "array.skymap_polar()" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "application/javascript": [ + "/* Put everything inside the global mpl namespace */\n", + "/* global mpl */\n", + "window.mpl = {};\n", + "\n", + "mpl.get_websocket_type = function () {\n", + " if (typeof WebSocket !== 'undefined') {\n", + " return WebSocket;\n", + " } else if (typeof MozWebSocket !== 'undefined') {\n", + " return MozWebSocket;\n", + " } else {\n", + " alert(\n", + " 'Your browser does not have WebSocket support. ' +\n", + " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n", + " 'Firefox 4 and 5 are also supported but you ' +\n", + " 'have to enable WebSockets in about:config.'\n", + " );\n", + " }\n", + "};\n", + "\n", + "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n", + " this.id = figure_id;\n", + "\n", + " this.ws = websocket;\n", + "\n", + " this.supports_binary = this.ws.binaryType !== undefined;\n", + "\n", + " if (!this.supports_binary) {\n", + " var warnings = document.getElementById('mpl-warnings');\n", + " if (warnings) {\n", + " warnings.style.display = 'block';\n", + " warnings.textContent =\n", + " 'This browser does not support binary websocket messages. ' +\n", + " 'Performance may be slow.';\n", + " }\n", + " }\n", + "\n", + " this.imageObj = new Image();\n", + "\n", + " this.context = undefined;\n", + " this.message = undefined;\n", + " this.canvas = undefined;\n", + " this.rubberband_canvas = undefined;\n", + " this.rubberband_context = undefined;\n", + " this.format_dropdown = undefined;\n", + "\n", + " this.image_mode = 'full';\n", + "\n", + " this.root = document.createElement('div');\n", + " this.root.setAttribute('style', 'display: inline-block');\n", + " this._root_extra_style(this.root);\n", + "\n", + " parent_element.appendChild(this.root);\n", + "\n", + " this._init_header(this);\n", + " this._init_canvas(this);\n", + " this._init_toolbar(this);\n", + "\n", + " var fig = this;\n", + "\n", + " this.waiting = false;\n", + "\n", + " this.ws.onopen = function () {\n", + " fig.send_message('supports_binary', { value: fig.supports_binary });\n", + " fig.send_message('send_image_mode', {});\n", + " if (fig.ratio !== 1) {\n", + " fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n", + " }\n", + " fig.send_message('refresh', {});\n", + " };\n", + "\n", + " this.imageObj.onload = function () {\n", + " if (fig.image_mode === 'full') {\n", + " // Full images could contain transparency (where diff images\n", + " // almost always do), so we need to clear the canvas so that\n", + " // there is no ghosting.\n", + " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n", + " }\n", + " fig.context.drawImage(fig.imageObj, 0, 0);\n", + " };\n", + "\n", + " this.imageObj.onunload = function () {\n", + " fig.ws.close();\n", + " };\n", + "\n", + " this.ws.onmessage = this._make_on_message_function(this);\n", + "\n", + " this.ondownload = ondownload;\n", + "};\n", + "\n", + "mpl.figure.prototype._init_header = function () {\n", + " var titlebar = document.createElement('div');\n", + " titlebar.classList =\n", + " 'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n", + " var titletext = document.createElement('div');\n", + " titletext.classList = 'ui-dialog-title';\n", + " titletext.setAttribute(\n", + " 'style',\n", + " 'width: 100%; text-align: center; padding: 3px;'\n", + " );\n", + " titlebar.appendChild(titletext);\n", + " this.root.appendChild(titlebar);\n", + " this.header = titletext;\n", + "};\n", + "\n", + "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n", + "\n", + "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n", + "\n", + "mpl.figure.prototype._init_canvas = function () {\n", + " var fig = this;\n", + "\n", + " var canvas_div = (this.canvas_div = document.createElement('div'));\n", + " canvas_div.setAttribute(\n", + " 'style',\n", + " 'border: 1px solid #ddd;' +\n", + " 'box-sizing: content-box;' +\n", + " 'clear: both;' +\n", + " 'min-height: 1px;' +\n", + " 'min-width: 1px;' +\n", + " 'outline: 0;' +\n", + " 'overflow: hidden;' +\n", + " 'position: relative;' +\n", + " 'resize: both;'\n", + " );\n", + "\n", + " function on_keyboard_event_closure(name) {\n", + " return function (event) {\n", + " return fig.key_event(event, name);\n", + " };\n", + " }\n", + "\n", + " canvas_div.addEventListener(\n", + " 'keydown',\n", + " on_keyboard_event_closure('key_press')\n", + " );\n", + " canvas_div.addEventListener(\n", + " 'keyup',\n", + " on_keyboard_event_closure('key_release')\n", + " );\n", + "\n", + " this._canvas_extra_style(canvas_div);\n", + " this.root.appendChild(canvas_div);\n", + "\n", + " var canvas = (this.canvas = document.createElement('canvas'));\n", + " canvas.classList.add('mpl-canvas');\n", + " canvas.setAttribute('style', 'box-sizing: content-box;');\n", + "\n", + " this.context = canvas.getContext('2d');\n", + "\n", + " var backingStore =\n", + " this.context.backingStorePixelRatio ||\n", + " this.context.webkitBackingStorePixelRatio ||\n", + " this.context.mozBackingStorePixelRatio ||\n", + " this.context.msBackingStorePixelRatio ||\n", + " this.context.oBackingStorePixelRatio ||\n", + " this.context.backingStorePixelRatio ||\n", + " 1;\n", + "\n", + " this.ratio = (window.devicePixelRatio || 1) / backingStore;\n", + " if (this.ratio !== 1) {\n", + " fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n", + " }\n", + "\n", + " var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n", + " 'canvas'\n", + " ));\n", + " rubberband_canvas.setAttribute(\n", + " 'style',\n", + " 'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n", + " );\n", + "\n", + " // Apply a ponyfill if ResizeObserver is not implemented by browser.\n", + " if (this.ResizeObserver === undefined) {\n", + " if (window.ResizeObserver !== undefined) {\n", + " this.ResizeObserver = window.ResizeObserver;\n", + " } else {\n", + " var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n", + " this.ResizeObserver = obs.ResizeObserver;\n", + " }\n", + " }\n", + "\n", + " this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n", + " var nentries = entries.length;\n", + " for (var i = 0; i < nentries; i++) {\n", + " var entry = entries[i];\n", + " var width, height;\n", + " if (entry.contentBoxSize) {\n", + " if (entry.contentBoxSize instanceof Array) {\n", + " // Chrome 84 implements new version of spec.\n", + " width = entry.contentBoxSize[0].inlineSize;\n", + " height = entry.contentBoxSize[0].blockSize;\n", + " } else {\n", + " // Firefox implements old version of spec.\n", + " width = entry.contentBoxSize.inlineSize;\n", + " height = entry.contentBoxSize.blockSize;\n", + " }\n", + " } else {\n", + " // Chrome <84 implements even older version of spec.\n", + " width = entry.contentRect.width;\n", + " height = entry.contentRect.height;\n", + " }\n", + "\n", + " // Keep the size of the canvas and rubber band canvas in sync with\n", + " // the canvas container.\n", + " if (entry.devicePixelContentBoxSize) {\n", + " // Chrome 84 implements new version of spec.\n", + " canvas.setAttribute(\n", + " 'width',\n", + " entry.devicePixelContentBoxSize[0].inlineSize\n", + " );\n", + " canvas.setAttribute(\n", + " 'height',\n", + " entry.devicePixelContentBoxSize[0].blockSize\n", + " );\n", + " } else {\n", + " canvas.setAttribute('width', width * fig.ratio);\n", + " canvas.setAttribute('height', height * fig.ratio);\n", + " }\n", + " canvas.setAttribute(\n", + " 'style',\n", + " 'width: ' + width + 'px; height: ' + height + 'px;'\n", + " );\n", + "\n", + " rubberband_canvas.setAttribute('width', width);\n", + " rubberband_canvas.setAttribute('height', height);\n", + "\n", + " // And update the size in Python. We ignore the initial 0/0 size\n", + " // that occurs as the element is placed into the DOM, which should\n", + " // otherwise not happen due to the minimum size styling.\n", + " if (width != 0 && height != 0) {\n", + " fig.request_resize(width, height);\n", + " }\n", + " }\n", + " });\n", + " this.resizeObserverInstance.observe(canvas_div);\n", + "\n", + " function on_mouse_event_closure(name) {\n", + " return function (event) {\n", + " return fig.mouse_event(event, name);\n", + " };\n", + " }\n", + "\n", + " rubberband_canvas.addEventListener(\n", + " 'mousedown',\n", + " on_mouse_event_closure('button_press')\n", + " );\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseup',\n", + " on_mouse_event_closure('button_release')\n", + " );\n", + " // Throttle sequential mouse events to 1 every 20ms.\n", + " rubberband_canvas.addEventListener(\n", + " 'mousemove',\n", + " on_mouse_event_closure('motion_notify')\n", + " );\n", + "\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseenter',\n", + " on_mouse_event_closure('figure_enter')\n", + " );\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseleave',\n", + " on_mouse_event_closure('figure_leave')\n", + " );\n", + "\n", + " canvas_div.addEventListener('wheel', function (event) {\n", + " if (event.deltaY < 0) {\n", + " event.step = 1;\n", + " } else {\n", + " event.step = -1;\n", + " }\n", + " on_mouse_event_closure('scroll')(event);\n", + " });\n", + "\n", + " canvas_div.appendChild(canvas);\n", + " canvas_div.appendChild(rubberband_canvas);\n", + "\n", + " this.rubberband_context = rubberband_canvas.getContext('2d');\n", + " this.rubberband_context.strokeStyle = '#000000';\n", + "\n", + " this._resize_canvas = function (width, height, forward) {\n", + " if (forward) {\n", + " canvas_div.style.width = width + 'px';\n", + " canvas_div.style.height = height + 'px';\n", + " }\n", + " };\n", + "\n", + " // Disable right mouse context menu.\n", + " this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n", + " event.preventDefault();\n", + " return false;\n", + " });\n", + "\n", + " function set_focus() {\n", + " canvas.focus();\n", + " canvas_div.focus();\n", + " }\n", + "\n", + " window.setTimeout(set_focus, 100);\n", + "};\n", + "\n", + "mpl.figure.prototype._init_toolbar = function () {\n", + " var fig = this;\n", + "\n", + " var toolbar = document.createElement('div');\n", + " toolbar.classList = 'mpl-toolbar';\n", + " this.root.appendChild(toolbar);\n", + "\n", + " function on_click_closure(name) {\n", + " return function (_event) {\n", + " return fig.toolbar_button_onclick(name);\n", + " };\n", + " }\n", + "\n", + " function on_mouseover_closure(tooltip) {\n", + " return function (event) {\n", + " if (!event.currentTarget.disabled) {\n", + " return fig.toolbar_button_onmouseover(tooltip);\n", + " }\n", + " };\n", + " }\n", + "\n", + " fig.buttons = {};\n", + " var buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'mpl-button-group';\n", + " for (var toolbar_ind in mpl.toolbar_items) {\n", + " var name = mpl.toolbar_items[toolbar_ind][0];\n", + " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", + " var image = mpl.toolbar_items[toolbar_ind][2];\n", + " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", + "\n", + " if (!name) {\n", + " /* Instead of a spacer, we start a new button group. */\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + " buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'mpl-button-group';\n", + " continue;\n", + " }\n", + "\n", + " var button = (fig.buttons[name] = document.createElement('button'));\n", + " button.classList = 'mpl-widget';\n", + " button.setAttribute('role', 'button');\n", + " button.setAttribute('aria-disabled', 'false');\n", + " button.addEventListener('click', on_click_closure(method_name));\n", + " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", + "\n", + " var icon_img = document.createElement('img');\n", + " icon_img.src = '_images/' + image + '.png';\n", + " icon_img.srcset = '_images/' + image + '_large.png 2x';\n", + " icon_img.alt = tooltip;\n", + " button.appendChild(icon_img);\n", + "\n", + " buttonGroup.appendChild(button);\n", + " }\n", + "\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + "\n", + " var fmt_picker = document.createElement('select');\n", + " fmt_picker.classList = 'mpl-widget';\n", + " toolbar.appendChild(fmt_picker);\n", + " this.format_dropdown = fmt_picker;\n", + "\n", + " for (var ind in mpl.extensions) {\n", + " var fmt = mpl.extensions[ind];\n", + " var option = document.createElement('option');\n", + " option.selected = fmt === mpl.default_extension;\n", + " option.innerHTML = fmt;\n", + " fmt_picker.appendChild(option);\n", + " }\n", + "\n", + " var status_bar = document.createElement('span');\n", + " status_bar.classList = 'mpl-message';\n", + " toolbar.appendChild(status_bar);\n", + " this.message = status_bar;\n", + "};\n", + "\n", + "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n", + " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n", + " // which will in turn request a refresh of the image.\n", + " this.send_message('resize', { width: x_pixels, height: y_pixels });\n", + "};\n", + "\n", + "mpl.figure.prototype.send_message = function (type, properties) {\n", + " properties['type'] = type;\n", + " properties['figure_id'] = this.id;\n", + " this.ws.send(JSON.stringify(properties));\n", + "};\n", + "\n", + "mpl.figure.prototype.send_draw_message = function () {\n", + " if (!this.waiting) {\n", + " this.waiting = true;\n", + " this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_save = function (fig, _msg) {\n", + " var format_dropdown = fig.format_dropdown;\n", + " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n", + " fig.ondownload(fig, format);\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_resize = function (fig, msg) {\n", + " var size = msg['size'];\n", + " if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n", + " fig._resize_canvas(size[0], size[1], msg['forward']);\n", + " fig.send_message('refresh', {});\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n", + " var x0 = msg['x0'] / fig.ratio;\n", + " var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n", + " var x1 = msg['x1'] / fig.ratio;\n", + " var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n", + " x0 = Math.floor(x0) + 0.5;\n", + " y0 = Math.floor(y0) + 0.5;\n", + " x1 = Math.floor(x1) + 0.5;\n", + " y1 = Math.floor(y1) + 0.5;\n", + " var min_x = Math.min(x0, x1);\n", + " var min_y = Math.min(y0, y1);\n", + " var width = Math.abs(x1 - x0);\n", + " var height = Math.abs(y1 - y0);\n", + "\n", + " fig.rubberband_context.clearRect(\n", + " 0,\n", + " 0,\n", + " fig.canvas.width / fig.ratio,\n", + " fig.canvas.height / fig.ratio\n", + " );\n", + "\n", + " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n", + " // Updates the figure title.\n", + " fig.header.textContent = msg['label'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n", + " var cursor = msg['cursor'];\n", + " switch (cursor) {\n", + " case 0:\n", + " cursor = 'pointer';\n", + " break;\n", + " case 1:\n", + " cursor = 'default';\n", + " break;\n", + " case 2:\n", + " cursor = 'crosshair';\n", + " break;\n", + " case 3:\n", + " cursor = 'move';\n", + " break;\n", + " }\n", + " fig.rubberband_canvas.style.cursor = cursor;\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_message = function (fig, msg) {\n", + " fig.message.textContent = msg['message'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n", + " // Request the server to send over a new figure.\n", + " fig.send_draw_message();\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n", + " fig.image_mode = msg['mode'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n", + " for (var key in msg) {\n", + " if (!(key in fig.buttons)) {\n", + " continue;\n", + " }\n", + " fig.buttons[key].disabled = !msg[key];\n", + " fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n", + " if (msg['mode'] === 'PAN') {\n", + " fig.buttons['Pan'].classList.add('active');\n", + " fig.buttons['Zoom'].classList.remove('active');\n", + " } else if (msg['mode'] === 'ZOOM') {\n", + " fig.buttons['Pan'].classList.remove('active');\n", + " fig.buttons['Zoom'].classList.add('active');\n", + " } else {\n", + " fig.buttons['Pan'].classList.remove('active');\n", + " fig.buttons['Zoom'].classList.remove('active');\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.updated_canvas_event = function () {\n", + " // Called whenever the canvas gets updated.\n", + " this.send_message('ack', {});\n", + "};\n", + "\n", + "// A function to construct a web socket function for onmessage handling.\n", + "// Called in the figure constructor.\n", + "mpl.figure.prototype._make_on_message_function = function (fig) {\n", + " return function socket_on_message(evt) {\n", + " if (evt.data instanceof Blob) {\n", + " /* 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", + "\n", + " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n", + " evt.data\n", + " );\n", + " fig.updated_canvas_event();\n", + " fig.waiting = false;\n", + " return;\n", + " } else if (\n", + " typeof evt.data === 'string' &&\n", + " evt.data.slice(0, 21) === 'data:image/png;base64'\n", + " ) {\n", + " fig.imageObj.src = evt.data;\n", + " fig.updated_canvas_event();\n", + " fig.waiting = false;\n", + " return;\n", + " }\n", + "\n", + " var msg = JSON.parse(evt.data);\n", + " var msg_type = msg['type'];\n", + "\n", + " // Call the \"handle_{type}\" callback, which takes\n", + " // the figure and JSON message as its only arguments.\n", + " try {\n", + " var callback = fig['handle_' + msg_type];\n", + " } catch (e) {\n", + " console.log(\n", + " \"No handler for the '\" + msg_type + \"' message type: \",\n", + " msg\n", + " );\n", + " return;\n", + " }\n", + "\n", + " if (callback) {\n", + " try {\n", + " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n", + " callback(fig, msg);\n", + " } catch (e) {\n", + " console.log(\n", + " \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n", + " e,\n", + " e.stack,\n", + " msg\n", + " );\n", + " }\n", + " }\n", + " };\n", + "};\n", + "\n", + "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n", + "mpl.findpos = function (e) {\n", + " //this section is from http://www.quirksmode.org/js/events_properties.html\n", + " var targ;\n", + " if (!e) {\n", + " e = window.event;\n", + " }\n", + " if (e.target) {\n", + " targ = e.target;\n", + " } else if (e.srcElement) {\n", + " targ = e.srcElement;\n", + " }\n", + " if (targ.nodeType === 3) {\n", + " // defeat Safari bug\n", + " targ = targ.parentNode;\n", + " }\n", + "\n", + " // pageX,Y are the mouse positions relative to the document\n", + " var boundingRect = targ.getBoundingClientRect();\n", + " var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n", + " var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n", + "\n", + " return { x: x, y: y };\n", + "};\n", + "\n", + "/*\n", + " * return a copy of an object with only non-object keys\n", + " * we need this to avoid circular references\n", + " * http://stackoverflow.com/a/24161582/3208463\n", + " */\n", + "function simpleKeys(original) {\n", + " return Object.keys(original).reduce(function (obj, key) {\n", + " if (typeof original[key] !== 'object') {\n", + " obj[key] = original[key];\n", + " }\n", + " return obj;\n", + " }, {});\n", + "}\n", + "\n", + "mpl.figure.prototype.mouse_event = function (event, name) {\n", + " var canvas_pos = mpl.findpos(event);\n", + "\n", + " if (name === 'button_press') {\n", + " this.canvas.focus();\n", + " this.canvas_div.focus();\n", + " }\n", + "\n", + " var x = canvas_pos.x * this.ratio;\n", + " var y = canvas_pos.y * this.ratio;\n", + "\n", + " this.send_message(name, {\n", + " x: x,\n", + " y: y,\n", + " button: event.button,\n", + " step: event.step,\n", + " guiEvent: simpleKeys(event),\n", + " });\n", + "\n", + " /* This prevents the web browser from automatically changing to\n", + " * the text insertion cursor when the button is pressed. We want\n", + " * to control all of the cursor setting manually through the\n", + " * 'cursor' event from matplotlib */\n", + " event.preventDefault();\n", + " return false;\n", + "};\n", + "\n", + "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n", + " // Handle any extra behaviour associated with a key event\n", + "};\n", + "\n", + "mpl.figure.prototype.key_event = function (event, name) {\n", + " // Prevent repeat events\n", + " if (name === 'key_press') {\n", + " if (event.which === this._key) {\n", + " return;\n", + " } else {\n", + " this._key = event.which;\n", + " }\n", + " }\n", + " if (name === 'key_release') {\n", + " this._key = null;\n", + " }\n", + "\n", + " var value = '';\n", + " if (event.ctrlKey && event.which !== 17) {\n", + " value += 'ctrl+';\n", + " }\n", + " if (event.altKey && event.which !== 18) {\n", + " value += 'alt+';\n", + " }\n", + " if (event.shiftKey && event.which !== 16) {\n", + " value += 'shift+';\n", + " }\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, guiEvent: simpleKeys(event) });\n", + " return false;\n", + "};\n", + "\n", + "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n", + " if (name === 'download') {\n", + " this.handle_save(this, null);\n", + " } else {\n", + " this.send_message('toolbar_button', { name: name });\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n", + " this.message.textContent = tooltip;\n", + "};\n", + "\n", + "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n", + "// prettier-ignore\n", + "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n", + "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n", + "\n", + "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n", + "\n", + "mpl.default_extension = \"png\";/* global mpl */\n", + "\n", + "var comm_websocket_adapter = function (comm) {\n", + " // Create a \"websocket\"-like object which calls the given IPython comm\n", + " // object with the appropriate methods. Currently this is a non binary\n", + " // socket, so there is still some room for performance tuning.\n", + " var ws = {};\n", + "\n", + " ws.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 overridden (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 = document.getElementById(id);\n", + " var ws_proxy = comm_websocket_adapter(comm);\n", + "\n", + " function ondownload(figure, _format) {\n", + " window.open(figure.canvas.toDataURL());\n", + " }\n", + "\n", + " var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n", + "\n", + " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n", + " // web socket which is closed, not our websocket->open comm proxy.\n", + " ws_proxy.onopen();\n", + "\n", + " fig.parent_element = element;\n", + " fig.cell_info = mpl.find_output_cell(\"
\");\n", + " if (!fig.cell_info) {\n", + " console.error('Failed to find cell for figure', id, fig);\n", + " return;\n", + " }\n", + " fig.cell_info[0].output_area.element.on(\n", + " 'cleared',\n", + " { fig: fig },\n", + " fig._remove_fig_handler\n", + " );\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_close = function (fig, msg) {\n", + " var width = fig.canvas.width / fig.ratio;\n", + " fig.cell_info[0].output_area.element.off(\n", + " 'cleared',\n", + " fig._remove_fig_handler\n", + " );\n", + " fig.resizeObserverInstance.unobserve(fig.canvas_div);\n", + "\n", + " // Update the output cell to use the data from the current canvas.\n", + " fig.push_to_output();\n", + " var dataURL = fig.canvas.toDataURL();\n", + " // Re-enable the keyboard manager in IPython - without this line, in FF,\n", + " // the notebook keyboard shortcuts fail.\n", + " IPython.keyboard_manager.enable();\n", + " fig.parent_element.innerHTML =\n", + " '';\n", + " fig.close_ws(fig, msg);\n", + "};\n", + "\n", + "mpl.figure.prototype.close_ws = function (fig, msg) {\n", + " fig.send_message('closing', msg);\n", + " // fig.ws.close()\n", + "};\n", + "\n", + "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n", + " // Turn the data on the canvas into data in the output cell.\n", + " var width = this.canvas.width / this.ratio;\n", + " var dataURL = this.canvas.toDataURL();\n", + " this.cell_info[1]['text/html'] =\n", + " '';\n", + "};\n", + "\n", + "mpl.figure.prototype.updated_canvas_event = function () {\n", + " // Tell IPython that the notebook contents must change.\n", + " IPython.notebook.set_dirty(true);\n", + " this.send_message('ack', {});\n", + " var fig = this;\n", + " // Wait a second, then push the new image to the DOM so\n", + " // that it is saved nicely (might be nice to debounce this).\n", + " setTimeout(function () {\n", + " fig.push_to_output();\n", + " }, 1000);\n", + "};\n", + "\n", + "mpl.figure.prototype._init_toolbar = function () {\n", + " var fig = this;\n", + "\n", + " var toolbar = document.createElement('div');\n", + " toolbar.classList = 'btn-toolbar';\n", + " this.root.appendChild(toolbar);\n", + "\n", + " function on_click_closure(name) {\n", + " return function (_event) {\n", + " return fig.toolbar_button_onclick(name);\n", + " };\n", + " }\n", + "\n", + " function on_mouseover_closure(tooltip) {\n", + " return function (event) {\n", + " if (!event.currentTarget.disabled) {\n", + " return fig.toolbar_button_onmouseover(tooltip);\n", + " }\n", + " };\n", + " }\n", + "\n", + " fig.buttons = {};\n", + " var buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'btn-group';\n", + " var button;\n", + " for (var toolbar_ind in mpl.toolbar_items) {\n", + " var name = mpl.toolbar_items[toolbar_ind][0];\n", + " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", + " var image = mpl.toolbar_items[toolbar_ind][2];\n", + " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", + "\n", + " if (!name) {\n", + " /* Instead of a spacer, we start a new button group. */\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + " buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'btn-group';\n", + " continue;\n", + " }\n", + "\n", + " button = fig.buttons[name] = document.createElement('button');\n", + " button.classList = 'btn btn-default';\n", + " button.href = '#';\n", + " button.title = name;\n", + " button.innerHTML = '';\n", + " button.addEventListener('click', on_click_closure(method_name));\n", + " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", + " buttonGroup.appendChild(button);\n", + " }\n", + "\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + "\n", + " // Add the status bar.\n", + " var status_bar = document.createElement('span');\n", + " status_bar.classList = 'mpl-message pull-right';\n", + " toolbar.appendChild(status_bar);\n", + " this.message = status_bar;\n", + "\n", + " // Add the close button to the window.\n", + " var buttongrp = document.createElement('div');\n", + " buttongrp.classList = 'btn-group inline pull-right';\n", + " button = document.createElement('button');\n", + " button.classList = 'btn btn-mini btn-primary';\n", + " button.href = '#';\n", + " button.title = 'Stop Interaction';\n", + " button.innerHTML = '';\n", + " button.addEventListener('click', function (_evt) {\n", + " fig.handle_close(fig, {});\n", + " });\n", + " button.addEventListener(\n", + " 'mouseover',\n", + " on_mouseover_closure('Stop Interaction')\n", + " );\n", + " buttongrp.appendChild(button);\n", + " var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n", + " titlebar.insertBefore(buttongrp, titlebar.firstChild);\n", + "};\n", + "\n", + "mpl.figure.prototype._remove_fig_handler = function (event) {\n", + " var fig = event.data.fig;\n", + " if (event.target !== this) {\n", + " // Ignore bubbled events from children.\n", + " return;\n", + " }\n", + " fig.close_ws(fig, {});\n", + "};\n", + "\n", + "mpl.figure.prototype._root_extra_style = function (el) {\n", + " el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n", + "};\n", + "\n", + "mpl.figure.prototype._canvas_extra_style = function (el) {\n", + " // this is important to make the div 'focusable\n", + " el.setAttribute('tabindex', 0);\n", + " // reach out to IPython and tell the keyboard manager to turn it's self\n", + " // off when our div gets focus\n", + "\n", + " // location in version 3\n", + " if (IPython.notebook.keyboard_manager) {\n", + " IPython.notebook.keyboard_manager.register_events(el);\n", + " } else {\n", + " // location in version 2\n", + " IPython.keyboard_manager.register_events(el);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype._key_event_extra = function (event, _name) {\n", + " var manager = IPython.notebook.keyboard_manager;\n", + " if (!manager) {\n", + " manager = IPython.keyboard_manager;\n", + " }\n", + "\n", + " // Check for shift+enter\n", + " if (event.shiftKey && event.which === 13) {\n", + " this.canvas_div.blur();\n", + " // select the cell after this one\n", + " var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n", + " IPython.notebook.select(index + 1);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_save = function (fig, _msg) {\n", + " fig.ondownload(fig, null);\n", + "};\n", + "\n", + "mpl.find_output_cell = function (html_output) {\n", + " // Return the cell and output element which can be found *uniquely* in the notebook.\n", + " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n", + " // IPython event is triggered only after the cells have been serialised, which for\n", + " // our purposes (turning an active figure into a static one), is too late.\n", + " var cells = IPython.notebook.get_cells();\n", + " var ncells = cells.length;\n", + " for (var i = 0; i < ncells; i++) {\n", + " var cell = cells[i];\n", + " if (cell.cell_type === 'code') {\n", + " for (var j = 0; j < cell.output_area.outputs.length; j++) {\n", + " var data = cell.output_area.outputs[j];\n", + " if (data.data) {\n", + " // IPython >= 3 moved mimebundle to data attribute of output\n", + " data = data.data;\n", + " }\n", + " if (data['text/html'] === html_output) {\n", + " return [cell, data, j];\n", + " }\n", + " }\n", + " }\n", + " }\n", + "};\n", + "\n", + "// Register the function which deals with the matplotlib target/channel.\n", + "// The kernel may be null if the page has been refreshed.\n", + "if (IPython.notebook.kernel !== null) {\n", + " IPython.notebook.kernel.comm_manager.register_target(\n", + " 'matplotlib',\n", + " mpl.mpl_figure_comm\n", + " );\n", + "}\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "array.multiplicity_plot()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Shifting the observation time and check how it change" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Observer : CTA North\n", + "Location : Roque de los Muchachos , (5327.28509212, -1718.7771125, 3051.78673275) km\n", + "Observation time : 2020-06-20T00:00:00.000\n", + "Observer : CTA North\n", + "Location : Roque de los Muchachos , (5327.28509212, -1718.7771125, 3051.78673275) km\n", + "Observation time : 2020-06-20T00:05:00.000\n" + ] + } + ], + "source": [ + "array.update_frame(time = '2020-06-20T00:00', verbose=True)\n", + "array.update_frame(delta_t = 5*u.min, verbose=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "text/latex": [ + "$94.069054 \\; \\mathrm{deg^{2}}$" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "array.hFoV(m_cut=3)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "application/javascript": [ + "/* Put everything inside the global mpl namespace */\n", + "/* global mpl */\n", + "window.mpl = {};\n", + "\n", + "mpl.get_websocket_type = function () {\n", + " if (typeof WebSocket !== 'undefined') {\n", + " return WebSocket;\n", + " } else if (typeof MozWebSocket !== 'undefined') {\n", + " return MozWebSocket;\n", + " } else {\n", + " alert(\n", + " 'Your browser does not have WebSocket support. ' +\n", + " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n", + " 'Firefox 4 and 5 are also supported but you ' +\n", + " 'have to enable WebSockets in about:config.'\n", + " );\n", + " }\n", + "};\n", + "\n", + "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n", + " this.id = figure_id;\n", + "\n", + " this.ws = websocket;\n", + "\n", + " this.supports_binary = this.ws.binaryType !== undefined;\n", + "\n", + " if (!this.supports_binary) {\n", + " var warnings = document.getElementById('mpl-warnings');\n", + " if (warnings) {\n", + " warnings.style.display = 'block';\n", + " warnings.textContent =\n", + " 'This browser does not support binary websocket messages. ' +\n", + " 'Performance may be slow.';\n", + " }\n", + " }\n", + "\n", + " this.imageObj = new Image();\n", + "\n", + " this.context = undefined;\n", + " this.message = undefined;\n", + " this.canvas = undefined;\n", + " this.rubberband_canvas = undefined;\n", + " this.rubberband_context = undefined;\n", + " this.format_dropdown = undefined;\n", + "\n", + " this.image_mode = 'full';\n", + "\n", + " this.root = document.createElement('div');\n", + " this.root.setAttribute('style', 'display: inline-block');\n", + " this._root_extra_style(this.root);\n", + "\n", + " parent_element.appendChild(this.root);\n", + "\n", + " this._init_header(this);\n", + " this._init_canvas(this);\n", + " this._init_toolbar(this);\n", + "\n", + " var fig = this;\n", + "\n", + " this.waiting = false;\n", + "\n", + " this.ws.onopen = function () {\n", + " fig.send_message('supports_binary', { value: fig.supports_binary });\n", + " fig.send_message('send_image_mode', {});\n", + " if (fig.ratio !== 1) {\n", + " fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n", + " }\n", + " fig.send_message('refresh', {});\n", + " };\n", + "\n", + " this.imageObj.onload = function () {\n", + " if (fig.image_mode === 'full') {\n", + " // Full images could contain transparency (where diff images\n", + " // almost always do), so we need to clear the canvas so that\n", + " // there is no ghosting.\n", + " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n", + " }\n", + " fig.context.drawImage(fig.imageObj, 0, 0);\n", + " };\n", + "\n", + " this.imageObj.onunload = function () {\n", + " fig.ws.close();\n", + " };\n", + "\n", + " this.ws.onmessage = this._make_on_message_function(this);\n", + "\n", + " this.ondownload = ondownload;\n", + "};\n", + "\n", + "mpl.figure.prototype._init_header = function () {\n", + " var titlebar = document.createElement('div');\n", + " titlebar.classList =\n", + " 'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n", + " var titletext = document.createElement('div');\n", + " titletext.classList = 'ui-dialog-title';\n", + " titletext.setAttribute(\n", + " 'style',\n", + " 'width: 100%; text-align: center; padding: 3px;'\n", + " );\n", + " titlebar.appendChild(titletext);\n", + " this.root.appendChild(titlebar);\n", + " this.header = titletext;\n", + "};\n", + "\n", + "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n", + "\n", + "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n", + "\n", + "mpl.figure.prototype._init_canvas = function () {\n", + " var fig = this;\n", + "\n", + " var canvas_div = (this.canvas_div = document.createElement('div'));\n", + " canvas_div.setAttribute(\n", + " 'style',\n", + " 'border: 1px solid #ddd;' +\n", + " 'box-sizing: content-box;' +\n", + " 'clear: both;' +\n", + " 'min-height: 1px;' +\n", + " 'min-width: 1px;' +\n", + " 'outline: 0;' +\n", + " 'overflow: hidden;' +\n", + " 'position: relative;' +\n", + " 'resize: both;'\n", + " );\n", + "\n", + " function on_keyboard_event_closure(name) {\n", + " return function (event) {\n", + " return fig.key_event(event, name);\n", + " };\n", + " }\n", + "\n", + " canvas_div.addEventListener(\n", + " 'keydown',\n", + " on_keyboard_event_closure('key_press')\n", + " );\n", + " canvas_div.addEventListener(\n", + " 'keyup',\n", + " on_keyboard_event_closure('key_release')\n", + " );\n", + "\n", + " this._canvas_extra_style(canvas_div);\n", + " this.root.appendChild(canvas_div);\n", + "\n", + " var canvas = (this.canvas = document.createElement('canvas'));\n", + " canvas.classList.add('mpl-canvas');\n", + " canvas.setAttribute('style', 'box-sizing: content-box;');\n", + "\n", + " this.context = canvas.getContext('2d');\n", + "\n", + " var backingStore =\n", + " this.context.backingStorePixelRatio ||\n", + " this.context.webkitBackingStorePixelRatio ||\n", + " this.context.mozBackingStorePixelRatio ||\n", + " this.context.msBackingStorePixelRatio ||\n", + " this.context.oBackingStorePixelRatio ||\n", + " this.context.backingStorePixelRatio ||\n", + " 1;\n", + "\n", + " this.ratio = (window.devicePixelRatio || 1) / backingStore;\n", + " if (this.ratio !== 1) {\n", + " fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n", + " }\n", + "\n", + " var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n", + " 'canvas'\n", + " ));\n", + " rubberband_canvas.setAttribute(\n", + " 'style',\n", + " 'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n", + " );\n", + "\n", + " // Apply a ponyfill if ResizeObserver is not implemented by browser.\n", + " if (this.ResizeObserver === undefined) {\n", + " if (window.ResizeObserver !== undefined) {\n", + " this.ResizeObserver = window.ResizeObserver;\n", + " } else {\n", + " var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n", + " this.ResizeObserver = obs.ResizeObserver;\n", + " }\n", + " }\n", + "\n", + " this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n", + " var nentries = entries.length;\n", + " for (var i = 0; i < nentries; i++) {\n", + " var entry = entries[i];\n", + " var width, height;\n", + " if (entry.contentBoxSize) {\n", + " if (entry.contentBoxSize instanceof Array) {\n", + " // Chrome 84 implements new version of spec.\n", + " width = entry.contentBoxSize[0].inlineSize;\n", + " height = entry.contentBoxSize[0].blockSize;\n", + " } else {\n", + " // Firefox implements old version of spec.\n", + " width = entry.contentBoxSize.inlineSize;\n", + " height = entry.contentBoxSize.blockSize;\n", + " }\n", + " } else {\n", + " // Chrome <84 implements even older version of spec.\n", + " width = entry.contentRect.width;\n", + " height = entry.contentRect.height;\n", + " }\n", + "\n", + " // Keep the size of the canvas and rubber band canvas in sync with\n", + " // the canvas container.\n", + " if (entry.devicePixelContentBoxSize) {\n", + " // Chrome 84 implements new version of spec.\n", + " canvas.setAttribute(\n", + " 'width',\n", + " entry.devicePixelContentBoxSize[0].inlineSize\n", + " );\n", + " canvas.setAttribute(\n", + " 'height',\n", + " entry.devicePixelContentBoxSize[0].blockSize\n", + " );\n", + " } else {\n", + " canvas.setAttribute('width', width * fig.ratio);\n", + " canvas.setAttribute('height', height * fig.ratio);\n", + " }\n", + " canvas.setAttribute(\n", + " 'style',\n", + " 'width: ' + width + 'px; height: ' + height + 'px;'\n", + " );\n", + "\n", + " rubberband_canvas.setAttribute('width', width);\n", + " rubberband_canvas.setAttribute('height', height);\n", + "\n", + " // And update the size in Python. We ignore the initial 0/0 size\n", + " // that occurs as the element is placed into the DOM, which should\n", + " // otherwise not happen due to the minimum size styling.\n", + " if (width != 0 && height != 0) {\n", + " fig.request_resize(width, height);\n", + " }\n", + " }\n", + " });\n", + " this.resizeObserverInstance.observe(canvas_div);\n", + "\n", + " function on_mouse_event_closure(name) {\n", + " return function (event) {\n", + " return fig.mouse_event(event, name);\n", + " };\n", + " }\n", + "\n", + " rubberband_canvas.addEventListener(\n", + " 'mousedown',\n", + " on_mouse_event_closure('button_press')\n", + " );\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseup',\n", + " on_mouse_event_closure('button_release')\n", + " );\n", + " // Throttle sequential mouse events to 1 every 20ms.\n", + " rubberband_canvas.addEventListener(\n", + " 'mousemove',\n", + " on_mouse_event_closure('motion_notify')\n", + " );\n", + "\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseenter',\n", + " on_mouse_event_closure('figure_enter')\n", + " );\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseleave',\n", + " on_mouse_event_closure('figure_leave')\n", + " );\n", + "\n", + " canvas_div.addEventListener('wheel', function (event) {\n", + " if (event.deltaY < 0) {\n", + " event.step = 1;\n", + " } else {\n", + " event.step = -1;\n", + " }\n", + " on_mouse_event_closure('scroll')(event);\n", + " });\n", + "\n", + " canvas_div.appendChild(canvas);\n", + " canvas_div.appendChild(rubberband_canvas);\n", + "\n", + " this.rubberband_context = rubberband_canvas.getContext('2d');\n", + " this.rubberband_context.strokeStyle = '#000000';\n", + "\n", + " this._resize_canvas = function (width, height, forward) {\n", + " if (forward) {\n", + " canvas_div.style.width = width + 'px';\n", + " canvas_div.style.height = height + 'px';\n", + " }\n", + " };\n", + "\n", + " // Disable right mouse context menu.\n", + " this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n", + " event.preventDefault();\n", + " return false;\n", + " });\n", + "\n", + " function set_focus() {\n", + " canvas.focus();\n", + " canvas_div.focus();\n", + " }\n", + "\n", + " window.setTimeout(set_focus, 100);\n", + "};\n", + "\n", + "mpl.figure.prototype._init_toolbar = function () {\n", + " var fig = this;\n", + "\n", + " var toolbar = document.createElement('div');\n", + " toolbar.classList = 'mpl-toolbar';\n", + " this.root.appendChild(toolbar);\n", + "\n", + " function on_click_closure(name) {\n", + " return function (_event) {\n", + " return fig.toolbar_button_onclick(name);\n", + " };\n", + " }\n", + "\n", + " function on_mouseover_closure(tooltip) {\n", + " return function (event) {\n", + " if (!event.currentTarget.disabled) {\n", + " return fig.toolbar_button_onmouseover(tooltip);\n", + " }\n", + " };\n", + " }\n", + "\n", + " fig.buttons = {};\n", + " var buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'mpl-button-group';\n", + " for (var toolbar_ind in mpl.toolbar_items) {\n", + " var name = mpl.toolbar_items[toolbar_ind][0];\n", + " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", + " var image = mpl.toolbar_items[toolbar_ind][2];\n", + " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", + "\n", + " if (!name) {\n", + " /* Instead of a spacer, we start a new button group. */\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + " buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'mpl-button-group';\n", + " continue;\n", + " }\n", + "\n", + " var button = (fig.buttons[name] = document.createElement('button'));\n", + " button.classList = 'mpl-widget';\n", + " button.setAttribute('role', 'button');\n", + " button.setAttribute('aria-disabled', 'false');\n", + " button.addEventListener('click', on_click_closure(method_name));\n", + " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", + "\n", + " var icon_img = document.createElement('img');\n", + " icon_img.src = '_images/' + image + '.png';\n", + " icon_img.srcset = '_images/' + image + '_large.png 2x';\n", + " icon_img.alt = tooltip;\n", + " button.appendChild(icon_img);\n", + "\n", + " buttonGroup.appendChild(button);\n", + " }\n", + "\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + "\n", + " var fmt_picker = document.createElement('select');\n", + " fmt_picker.classList = 'mpl-widget';\n", + " toolbar.appendChild(fmt_picker);\n", + " this.format_dropdown = fmt_picker;\n", + "\n", + " for (var ind in mpl.extensions) {\n", + " var fmt = mpl.extensions[ind];\n", + " var option = document.createElement('option');\n", + " option.selected = fmt === mpl.default_extension;\n", + " option.innerHTML = fmt;\n", + " fmt_picker.appendChild(option);\n", + " }\n", + "\n", + " var status_bar = document.createElement('span');\n", + " status_bar.classList = 'mpl-message';\n", + " toolbar.appendChild(status_bar);\n", + " this.message = status_bar;\n", + "};\n", + "\n", + "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n", + " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n", + " // which will in turn request a refresh of the image.\n", + " this.send_message('resize', { width: x_pixels, height: y_pixels });\n", + "};\n", + "\n", + "mpl.figure.prototype.send_message = function (type, properties) {\n", + " properties['type'] = type;\n", + " properties['figure_id'] = this.id;\n", + " this.ws.send(JSON.stringify(properties));\n", + "};\n", + "\n", + "mpl.figure.prototype.send_draw_message = function () {\n", + " if (!this.waiting) {\n", + " this.waiting = true;\n", + " this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_save = function (fig, _msg) {\n", + " var format_dropdown = fig.format_dropdown;\n", + " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n", + " fig.ondownload(fig, format);\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_resize = function (fig, msg) {\n", + " var size = msg['size'];\n", + " if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n", + " fig._resize_canvas(size[0], size[1], msg['forward']);\n", + " fig.send_message('refresh', {});\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n", + " var x0 = msg['x0'] / fig.ratio;\n", + " var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n", + " var x1 = msg['x1'] / fig.ratio;\n", + " var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n", + " x0 = Math.floor(x0) + 0.5;\n", + " y0 = Math.floor(y0) + 0.5;\n", + " x1 = Math.floor(x1) + 0.5;\n", + " y1 = Math.floor(y1) + 0.5;\n", + " var min_x = Math.min(x0, x1);\n", + " var min_y = Math.min(y0, y1);\n", + " var width = Math.abs(x1 - x0);\n", + " var height = Math.abs(y1 - y0);\n", + "\n", + " fig.rubberband_context.clearRect(\n", + " 0,\n", + " 0,\n", + " fig.canvas.width / fig.ratio,\n", + " fig.canvas.height / fig.ratio\n", + " );\n", + "\n", + " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n", + " // Updates the figure title.\n", + " fig.header.textContent = msg['label'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n", + " var cursor = msg['cursor'];\n", + " switch (cursor) {\n", + " case 0:\n", + " cursor = 'pointer';\n", + " break;\n", + " case 1:\n", + " cursor = 'default';\n", + " break;\n", + " case 2:\n", + " cursor = 'crosshair';\n", + " break;\n", + " case 3:\n", + " cursor = 'move';\n", + " break;\n", + " }\n", + " fig.rubberband_canvas.style.cursor = cursor;\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_message = function (fig, msg) {\n", + " fig.message.textContent = msg['message'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n", + " // Request the server to send over a new figure.\n", + " fig.send_draw_message();\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n", + " fig.image_mode = msg['mode'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n", + " for (var key in msg) {\n", + " if (!(key in fig.buttons)) {\n", + " continue;\n", + " }\n", + " fig.buttons[key].disabled = !msg[key];\n", + " fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n", + " if (msg['mode'] === 'PAN') {\n", + " fig.buttons['Pan'].classList.add('active');\n", + " fig.buttons['Zoom'].classList.remove('active');\n", + " } else if (msg['mode'] === 'ZOOM') {\n", + " fig.buttons['Pan'].classList.remove('active');\n", + " fig.buttons['Zoom'].classList.add('active');\n", + " } else {\n", + " fig.buttons['Pan'].classList.remove('active');\n", + " fig.buttons['Zoom'].classList.remove('active');\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.updated_canvas_event = function () {\n", + " // Called whenever the canvas gets updated.\n", + " this.send_message('ack', {});\n", + "};\n", + "\n", + "// A function to construct a web socket function for onmessage handling.\n", + "// Called in the figure constructor.\n", + "mpl.figure.prototype._make_on_message_function = function (fig) {\n", + " return function socket_on_message(evt) {\n", + " if (evt.data instanceof Blob) {\n", + " /* 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", + "\n", + " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n", + " evt.data\n", + " );\n", + " fig.updated_canvas_event();\n", + " fig.waiting = false;\n", + " return;\n", + " } else if (\n", + " typeof evt.data === 'string' &&\n", + " evt.data.slice(0, 21) === 'data:image/png;base64'\n", + " ) {\n", + " fig.imageObj.src = evt.data;\n", + " fig.updated_canvas_event();\n", + " fig.waiting = false;\n", + " return;\n", + " }\n", + "\n", + " var msg = JSON.parse(evt.data);\n", + " var msg_type = msg['type'];\n", + "\n", + " // Call the \"handle_{type}\" callback, which takes\n", + " // the figure and JSON message as its only arguments.\n", + " try {\n", + " var callback = fig['handle_' + msg_type];\n", + " } catch (e) {\n", + " console.log(\n", + " \"No handler for the '\" + msg_type + \"' message type: \",\n", + " msg\n", + " );\n", + " return;\n", + " }\n", + "\n", + " if (callback) {\n", + " try {\n", + " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n", + " callback(fig, msg);\n", + " } catch (e) {\n", + " console.log(\n", + " \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n", + " e,\n", + " e.stack,\n", + " msg\n", + " );\n", + " }\n", + " }\n", + " };\n", + "};\n", + "\n", + "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n", + "mpl.findpos = function (e) {\n", + " //this section is from http://www.quirksmode.org/js/events_properties.html\n", + " var targ;\n", + " if (!e) {\n", + " e = window.event;\n", + " }\n", + " if (e.target) {\n", + " targ = e.target;\n", + " } else if (e.srcElement) {\n", + " targ = e.srcElement;\n", + " }\n", + " if (targ.nodeType === 3) {\n", + " // defeat Safari bug\n", + " targ = targ.parentNode;\n", + " }\n", + "\n", + " // pageX,Y are the mouse positions relative to the document\n", + " var boundingRect = targ.getBoundingClientRect();\n", + " var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n", + " var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n", + "\n", + " return { x: x, y: y };\n", + "};\n", + "\n", + "/*\n", + " * return a copy of an object with only non-object keys\n", + " * we need this to avoid circular references\n", + " * http://stackoverflow.com/a/24161582/3208463\n", + " */\n", + "function simpleKeys(original) {\n", + " return Object.keys(original).reduce(function (obj, key) {\n", + " if (typeof original[key] !== 'object') {\n", + " obj[key] = original[key];\n", + " }\n", + " return obj;\n", + " }, {});\n", + "}\n", + "\n", + "mpl.figure.prototype.mouse_event = function (event, name) {\n", + " var canvas_pos = mpl.findpos(event);\n", + "\n", + " if (name === 'button_press') {\n", + " this.canvas.focus();\n", + " this.canvas_div.focus();\n", + " }\n", + "\n", + " var x = canvas_pos.x * this.ratio;\n", + " var y = canvas_pos.y * this.ratio;\n", + "\n", + " this.send_message(name, {\n", + " x: x,\n", + " y: y,\n", + " button: event.button,\n", + " step: event.step,\n", + " guiEvent: simpleKeys(event),\n", + " });\n", + "\n", + " /* This prevents the web browser from automatically changing to\n", + " * the text insertion cursor when the button is pressed. We want\n", + " * to control all of the cursor setting manually through the\n", + " * 'cursor' event from matplotlib */\n", + " event.preventDefault();\n", + " return false;\n", + "};\n", + "\n", + "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n", + " // Handle any extra behaviour associated with a key event\n", + "};\n", + "\n", + "mpl.figure.prototype.key_event = function (event, name) {\n", + " // Prevent repeat events\n", + " if (name === 'key_press') {\n", + " if (event.which === this._key) {\n", + " return;\n", + " } else {\n", + " this._key = event.which;\n", + " }\n", + " }\n", + " if (name === 'key_release') {\n", + " this._key = null;\n", + " }\n", + "\n", + " var value = '';\n", + " if (event.ctrlKey && event.which !== 17) {\n", + " value += 'ctrl+';\n", + " }\n", + " if (event.altKey && event.which !== 18) {\n", + " value += 'alt+';\n", + " }\n", + " if (event.shiftKey && event.which !== 16) {\n", + " value += 'shift+';\n", + " }\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, guiEvent: simpleKeys(event) });\n", + " return false;\n", + "};\n", + "\n", + "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n", + " if (name === 'download') {\n", + " this.handle_save(this, null);\n", + " } else {\n", + " this.send_message('toolbar_button', { name: name });\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n", + " this.message.textContent = tooltip;\n", + "};\n", + "\n", + "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n", + "// prettier-ignore\n", + "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n", + "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n", + "\n", + "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n", + "\n", + "mpl.default_extension = \"png\";/* global mpl */\n", + "\n", + "var comm_websocket_adapter = function (comm) {\n", + " // Create a \"websocket\"-like object which calls the given IPython comm\n", + " // object with the appropriate methods. Currently this is a non binary\n", + " // socket, so there is still some room for performance tuning.\n", + " var ws = {};\n", + "\n", + " ws.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 overridden (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 = document.getElementById(id);\n", + " var ws_proxy = comm_websocket_adapter(comm);\n", + "\n", + " function ondownload(figure, _format) {\n", + " window.open(figure.canvas.toDataURL());\n", + " }\n", + "\n", + " var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n", + "\n", + " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n", + " // web socket which is closed, not our websocket->open comm proxy.\n", + " ws_proxy.onopen();\n", + "\n", + " fig.parent_element = element;\n", + " fig.cell_info = mpl.find_output_cell(\"
\");\n", + " if (!fig.cell_info) {\n", + " console.error('Failed to find cell for figure', id, fig);\n", + " return;\n", + " }\n", + " fig.cell_info[0].output_area.element.on(\n", + " 'cleared',\n", + " { fig: fig },\n", + " fig._remove_fig_handler\n", + " );\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_close = function (fig, msg) {\n", + " var width = fig.canvas.width / fig.ratio;\n", + " fig.cell_info[0].output_area.element.off(\n", + " 'cleared',\n", + " fig._remove_fig_handler\n", + " );\n", + " fig.resizeObserverInstance.unobserve(fig.canvas_div);\n", + "\n", + " // Update the output cell to use the data from the current canvas.\n", + " fig.push_to_output();\n", + " var dataURL = fig.canvas.toDataURL();\n", + " // Re-enable the keyboard manager in IPython - without this line, in FF,\n", + " // the notebook keyboard shortcuts fail.\n", + " IPython.keyboard_manager.enable();\n", + " fig.parent_element.innerHTML =\n", + " '';\n", + " fig.close_ws(fig, msg);\n", + "};\n", + "\n", + "mpl.figure.prototype.close_ws = function (fig, msg) {\n", + " fig.send_message('closing', msg);\n", + " // fig.ws.close()\n", + "};\n", + "\n", + "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n", + " // Turn the data on the canvas into data in the output cell.\n", + " var width = this.canvas.width / this.ratio;\n", + " var dataURL = this.canvas.toDataURL();\n", + " this.cell_info[1]['text/html'] =\n", + " '';\n", + "};\n", + "\n", + "mpl.figure.prototype.updated_canvas_event = function () {\n", + " // Tell IPython that the notebook contents must change.\n", + " IPython.notebook.set_dirty(true);\n", + " this.send_message('ack', {});\n", + " var fig = this;\n", + " // Wait a second, then push the new image to the DOM so\n", + " // that it is saved nicely (might be nice to debounce this).\n", + " setTimeout(function () {\n", + " fig.push_to_output();\n", + " }, 1000);\n", + "};\n", + "\n", + "mpl.figure.prototype._init_toolbar = function () {\n", + " var fig = this;\n", + "\n", + " var toolbar = document.createElement('div');\n", + " toolbar.classList = 'btn-toolbar';\n", + " this.root.appendChild(toolbar);\n", + "\n", + " function on_click_closure(name) {\n", + " return function (_event) {\n", + " return fig.toolbar_button_onclick(name);\n", + " };\n", + " }\n", + "\n", + " function on_mouseover_closure(tooltip) {\n", + " return function (event) {\n", + " if (!event.currentTarget.disabled) {\n", + " return fig.toolbar_button_onmouseover(tooltip);\n", + " }\n", + " };\n", + " }\n", + "\n", + " fig.buttons = {};\n", + " var buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'btn-group';\n", + " var button;\n", + " for (var toolbar_ind in mpl.toolbar_items) {\n", + " var name = mpl.toolbar_items[toolbar_ind][0];\n", + " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", + " var image = mpl.toolbar_items[toolbar_ind][2];\n", + " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", + "\n", + " if (!name) {\n", + " /* Instead of a spacer, we start a new button group. */\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + " buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'btn-group';\n", + " continue;\n", + " }\n", + "\n", + " button = fig.buttons[name] = document.createElement('button');\n", + " button.classList = 'btn btn-default';\n", + " button.href = '#';\n", + " button.title = name;\n", + " button.innerHTML = '';\n", + " button.addEventListener('click', on_click_closure(method_name));\n", + " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", + " buttonGroup.appendChild(button);\n", + " }\n", + "\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + "\n", + " // Add the status bar.\n", + " var status_bar = document.createElement('span');\n", + " status_bar.classList = 'mpl-message pull-right';\n", + " toolbar.appendChild(status_bar);\n", + " this.message = status_bar;\n", + "\n", + " // Add the close button to the window.\n", + " var buttongrp = document.createElement('div');\n", + " buttongrp.classList = 'btn-group inline pull-right';\n", + " button = document.createElement('button');\n", + " button.classList = 'btn btn-mini btn-primary';\n", + " button.href = '#';\n", + " button.title = 'Stop Interaction';\n", + " button.innerHTML = '';\n", + " button.addEventListener('click', function (_evt) {\n", + " fig.handle_close(fig, {});\n", + " });\n", + " button.addEventListener(\n", + " 'mouseover',\n", + " on_mouseover_closure('Stop Interaction')\n", + " );\n", + " buttongrp.appendChild(button);\n", + " var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n", + " titlebar.insertBefore(buttongrp, titlebar.firstChild);\n", + "};\n", + "\n", + "mpl.figure.prototype._remove_fig_handler = function (event) {\n", + " var fig = event.data.fig;\n", + " if (event.target !== this) {\n", + " // Ignore bubbled events from children.\n", + " return;\n", + " }\n", + " fig.close_ws(fig, {});\n", + "};\n", + "\n", + "mpl.figure.prototype._root_extra_style = function (el) {\n", + " el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n", + "};\n", + "\n", + "mpl.figure.prototype._canvas_extra_style = function (el) {\n", + " // this is important to make the div 'focusable\n", + " el.setAttribute('tabindex', 0);\n", + " // reach out to IPython and tell the keyboard manager to turn it's self\n", + " // off when our div gets focus\n", + "\n", + " // location in version 3\n", + " if (IPython.notebook.keyboard_manager) {\n", + " IPython.notebook.keyboard_manager.register_events(el);\n", + " } else {\n", + " // location in version 2\n", + " IPython.keyboard_manager.register_events(el);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype._key_event_extra = function (event, _name) {\n", + " var manager = IPython.notebook.keyboard_manager;\n", + " if (!manager) {\n", + " manager = IPython.keyboard_manager;\n", + " }\n", + "\n", + " // Check for shift+enter\n", + " if (event.shiftKey && event.which === 13) {\n", + " this.canvas_div.blur();\n", + " // select the cell after this one\n", + " var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n", + " IPython.notebook.select(index + 1);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_save = function (fig, _msg) {\n", + " fig.ondownload(fig, null);\n", + "};\n", + "\n", + "mpl.find_output_cell = function (html_output) {\n", + " // Return the cell and output element which can be found *uniquely* in the notebook.\n", + " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n", + " // IPython event is triggered only after the cells have been serialised, which for\n", + " // our purposes (turning an active figure into a static one), is too late.\n", + " var cells = IPython.notebook.get_cells();\n", + " var ncells = cells.length;\n", + " for (var i = 0; i < ncells; i++) {\n", + " var cell = cells[i];\n", + " if (cell.cell_type === 'code') {\n", + " for (var j = 0; j < cell.output_area.outputs.length; j++) {\n", + " var data = cell.output_area.outputs[j];\n", + " if (data.data) {\n", + " // IPython >= 3 moved mimebundle to data attribute of output\n", + " data = data.data;\n", + " }\n", + " if (data['text/html'] === html_output) {\n", + " return [cell, data, j];\n", + " }\n", + " }\n", + " }\n", + " }\n", + "};\n", + "\n", + "// Register the function which deals with the matplotlib target/channel.\n", + "// The kernel may be null if the page has been refreshed.\n", + "if (IPython.notebook.kernel !== null) {\n", + " IPython.notebook.kernel.comm_manager.register_target(\n", + " 'matplotlib',\n", + " mpl.mpl_figure_comm\n", + " );\n", + "}\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "array.multiplicity_plot()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Get parameters (hFoV, alt, and m) as a function of time" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [], + "source": [ + "array.update_frame(time = '2020-06-20T00:00')\n", + "\n", + "fov, m_ave, m_var = array.hFoV(m_cut=3, return_multiplicity=True)\n", + "hFoV = [fov.value]\n", + "mAve = [m_ave]\n", + "t = [0]\n", + "alt = [array.pointing[\"alt\"].value]\n", + "for i in range(24):\n", + " t.append((i+1)*5)\n", + " array.update_frame(delta_t = 5*u.min)\n", + " fov, m_ave, m_var = array.hFoV(m_cut=3, return_multiplicity=True)\n", + " hFoV.append(fov.value)\n", + " mAve.append(m_ave)\n", + " alt.append(array.pointing[\"alt\"].value)" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "application/javascript": [ + "/* Put everything inside the global mpl namespace */\n", + "/* global mpl */\n", + "window.mpl = {};\n", + "\n", + "mpl.get_websocket_type = function () {\n", + " if (typeof WebSocket !== 'undefined') {\n", + " return WebSocket;\n", + " } else if (typeof MozWebSocket !== 'undefined') {\n", + " return MozWebSocket;\n", + " } else {\n", + " alert(\n", + " 'Your browser does not have WebSocket support. ' +\n", + " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n", + " 'Firefox 4 and 5 are also supported but you ' +\n", + " 'have to enable WebSockets in about:config.'\n", + " );\n", + " }\n", + "};\n", + "\n", + "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n", + " this.id = figure_id;\n", + "\n", + " this.ws = websocket;\n", + "\n", + " this.supports_binary = this.ws.binaryType !== undefined;\n", + "\n", + " if (!this.supports_binary) {\n", + " var warnings = document.getElementById('mpl-warnings');\n", + " if (warnings) {\n", + " warnings.style.display = 'block';\n", + " warnings.textContent =\n", + " 'This browser does not support binary websocket messages. ' +\n", + " 'Performance may be slow.';\n", + " }\n", + " }\n", + "\n", + " this.imageObj = new Image();\n", + "\n", + " this.context = undefined;\n", + " this.message = undefined;\n", + " this.canvas = undefined;\n", + " this.rubberband_canvas = undefined;\n", + " this.rubberband_context = undefined;\n", + " this.format_dropdown = undefined;\n", + "\n", + " this.image_mode = 'full';\n", + "\n", + " this.root = document.createElement('div');\n", + " this.root.setAttribute('style', 'display: inline-block');\n", + " this._root_extra_style(this.root);\n", + "\n", + " parent_element.appendChild(this.root);\n", + "\n", + " this._init_header(this);\n", + " this._init_canvas(this);\n", + " this._init_toolbar(this);\n", + "\n", + " var fig = this;\n", + "\n", + " this.waiting = false;\n", + "\n", + " this.ws.onopen = function () {\n", + " fig.send_message('supports_binary', { value: fig.supports_binary });\n", + " fig.send_message('send_image_mode', {});\n", + " if (fig.ratio !== 1) {\n", + " fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n", + " }\n", + " fig.send_message('refresh', {});\n", + " };\n", + "\n", + " this.imageObj.onload = function () {\n", + " if (fig.image_mode === 'full') {\n", + " // Full images could contain transparency (where diff images\n", + " // almost always do), so we need to clear the canvas so that\n", + " // there is no ghosting.\n", + " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n", + " }\n", + " fig.context.drawImage(fig.imageObj, 0, 0);\n", + " };\n", + "\n", + " this.imageObj.onunload = function () {\n", + " fig.ws.close();\n", + " };\n", + "\n", + " this.ws.onmessage = this._make_on_message_function(this);\n", + "\n", + " this.ondownload = ondownload;\n", + "};\n", + "\n", + "mpl.figure.prototype._init_header = function () {\n", + " var titlebar = document.createElement('div');\n", + " titlebar.classList =\n", + " 'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n", + " var titletext = document.createElement('div');\n", + " titletext.classList = 'ui-dialog-title';\n", + " titletext.setAttribute(\n", + " 'style',\n", + " 'width: 100%; text-align: center; padding: 3px;'\n", + " );\n", + " titlebar.appendChild(titletext);\n", + " this.root.appendChild(titlebar);\n", + " this.header = titletext;\n", + "};\n", + "\n", + "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n", + "\n", + "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n", + "\n", + "mpl.figure.prototype._init_canvas = function () {\n", + " var fig = this;\n", + "\n", + " var canvas_div = (this.canvas_div = document.createElement('div'));\n", + " canvas_div.setAttribute(\n", + " 'style',\n", + " 'border: 1px solid #ddd;' +\n", + " 'box-sizing: content-box;' +\n", + " 'clear: both;' +\n", + " 'min-height: 1px;' +\n", + " 'min-width: 1px;' +\n", + " 'outline: 0;' +\n", + " 'overflow: hidden;' +\n", + " 'position: relative;' +\n", + " 'resize: both;'\n", + " );\n", + "\n", + " function on_keyboard_event_closure(name) {\n", + " return function (event) {\n", + " return fig.key_event(event, name);\n", + " };\n", + " }\n", + "\n", + " canvas_div.addEventListener(\n", + " 'keydown',\n", + " on_keyboard_event_closure('key_press')\n", + " );\n", + " canvas_div.addEventListener(\n", + " 'keyup',\n", + " on_keyboard_event_closure('key_release')\n", + " );\n", + "\n", + " this._canvas_extra_style(canvas_div);\n", + " this.root.appendChild(canvas_div);\n", + "\n", + " var canvas = (this.canvas = document.createElement('canvas'));\n", + " canvas.classList.add('mpl-canvas');\n", + " canvas.setAttribute('style', 'box-sizing: content-box;');\n", + "\n", + " this.context = canvas.getContext('2d');\n", + "\n", + " var backingStore =\n", + " this.context.backingStorePixelRatio ||\n", + " this.context.webkitBackingStorePixelRatio ||\n", + " this.context.mozBackingStorePixelRatio ||\n", + " this.context.msBackingStorePixelRatio ||\n", + " this.context.oBackingStorePixelRatio ||\n", + " this.context.backingStorePixelRatio ||\n", + " 1;\n", + "\n", + " this.ratio = (window.devicePixelRatio || 1) / backingStore;\n", + " if (this.ratio !== 1) {\n", + " fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n", + " }\n", + "\n", + " var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n", + " 'canvas'\n", + " ));\n", + " rubberband_canvas.setAttribute(\n", + " 'style',\n", + " 'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n", + " );\n", + "\n", + " // Apply a ponyfill if ResizeObserver is not implemented by browser.\n", + " if (this.ResizeObserver === undefined) {\n", + " if (window.ResizeObserver !== undefined) {\n", + " this.ResizeObserver = window.ResizeObserver;\n", + " } else {\n", + " var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n", + " this.ResizeObserver = obs.ResizeObserver;\n", + " }\n", + " }\n", + "\n", + " this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n", + " var nentries = entries.length;\n", + " for (var i = 0; i < nentries; i++) {\n", + " var entry = entries[i];\n", + " var width, height;\n", + " if (entry.contentBoxSize) {\n", + " if (entry.contentBoxSize instanceof Array) {\n", + " // Chrome 84 implements new version of spec.\n", + " width = entry.contentBoxSize[0].inlineSize;\n", + " height = entry.contentBoxSize[0].blockSize;\n", + " } else {\n", + " // Firefox implements old version of spec.\n", + " width = entry.contentBoxSize.inlineSize;\n", + " height = entry.contentBoxSize.blockSize;\n", + " }\n", + " } else {\n", + " // Chrome <84 implements even older version of spec.\n", + " width = entry.contentRect.width;\n", + " height = entry.contentRect.height;\n", + " }\n", + "\n", + " // Keep the size of the canvas and rubber band canvas in sync with\n", + " // the canvas container.\n", + " if (entry.devicePixelContentBoxSize) {\n", + " // Chrome 84 implements new version of spec.\n", + " canvas.setAttribute(\n", + " 'width',\n", + " entry.devicePixelContentBoxSize[0].inlineSize\n", + " );\n", + " canvas.setAttribute(\n", + " 'height',\n", + " entry.devicePixelContentBoxSize[0].blockSize\n", + " );\n", + " } else {\n", + " canvas.setAttribute('width', width * fig.ratio);\n", + " canvas.setAttribute('height', height * fig.ratio);\n", + " }\n", + " canvas.setAttribute(\n", + " 'style',\n", + " 'width: ' + width + 'px; height: ' + height + 'px;'\n", + " );\n", + "\n", + " rubberband_canvas.setAttribute('width', width);\n", + " rubberband_canvas.setAttribute('height', height);\n", + "\n", + " // And update the size in Python. We ignore the initial 0/0 size\n", + " // that occurs as the element is placed into the DOM, which should\n", + " // otherwise not happen due to the minimum size styling.\n", + " if (width != 0 && height != 0) {\n", + " fig.request_resize(width, height);\n", + " }\n", + " }\n", + " });\n", + " this.resizeObserverInstance.observe(canvas_div);\n", + "\n", + " function on_mouse_event_closure(name) {\n", + " return function (event) {\n", + " return fig.mouse_event(event, name);\n", + " };\n", + " }\n", + "\n", + " rubberband_canvas.addEventListener(\n", + " 'mousedown',\n", + " on_mouse_event_closure('button_press')\n", + " );\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseup',\n", + " on_mouse_event_closure('button_release')\n", + " );\n", + " // Throttle sequential mouse events to 1 every 20ms.\n", + " rubberband_canvas.addEventListener(\n", + " 'mousemove',\n", + " on_mouse_event_closure('motion_notify')\n", + " );\n", + "\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseenter',\n", + " on_mouse_event_closure('figure_enter')\n", + " );\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseleave',\n", + " on_mouse_event_closure('figure_leave')\n", + " );\n", + "\n", + " canvas_div.addEventListener('wheel', function (event) {\n", + " if (event.deltaY < 0) {\n", + " event.step = 1;\n", + " } else {\n", + " event.step = -1;\n", + " }\n", + " on_mouse_event_closure('scroll')(event);\n", + " });\n", + "\n", + " canvas_div.appendChild(canvas);\n", + " canvas_div.appendChild(rubberband_canvas);\n", + "\n", + " this.rubberband_context = rubberband_canvas.getContext('2d');\n", + " this.rubberband_context.strokeStyle = '#000000';\n", + "\n", + " this._resize_canvas = function (width, height, forward) {\n", + " if (forward) {\n", + " canvas_div.style.width = width + 'px';\n", + " canvas_div.style.height = height + 'px';\n", + " }\n", + " };\n", + "\n", + " // Disable right mouse context menu.\n", + " this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n", + " event.preventDefault();\n", + " return false;\n", + " });\n", + "\n", + " function set_focus() {\n", + " canvas.focus();\n", + " canvas_div.focus();\n", + " }\n", + "\n", + " window.setTimeout(set_focus, 100);\n", + "};\n", + "\n", + "mpl.figure.prototype._init_toolbar = function () {\n", + " var fig = this;\n", + "\n", + " var toolbar = document.createElement('div');\n", + " toolbar.classList = 'mpl-toolbar';\n", + " this.root.appendChild(toolbar);\n", + "\n", + " function on_click_closure(name) {\n", + " return function (_event) {\n", + " return fig.toolbar_button_onclick(name);\n", + " };\n", + " }\n", + "\n", + " function on_mouseover_closure(tooltip) {\n", + " return function (event) {\n", + " if (!event.currentTarget.disabled) {\n", + " return fig.toolbar_button_onmouseover(tooltip);\n", + " }\n", + " };\n", + " }\n", + "\n", + " fig.buttons = {};\n", + " var buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'mpl-button-group';\n", + " for (var toolbar_ind in mpl.toolbar_items) {\n", + " var name = mpl.toolbar_items[toolbar_ind][0];\n", + " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", + " var image = mpl.toolbar_items[toolbar_ind][2];\n", + " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", + "\n", + " if (!name) {\n", + " /* Instead of a spacer, we start a new button group. */\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + " buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'mpl-button-group';\n", + " continue;\n", + " }\n", + "\n", + " var button = (fig.buttons[name] = document.createElement('button'));\n", + " button.classList = 'mpl-widget';\n", + " button.setAttribute('role', 'button');\n", + " button.setAttribute('aria-disabled', 'false');\n", + " button.addEventListener('click', on_click_closure(method_name));\n", + " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", + "\n", + " var icon_img = document.createElement('img');\n", + " icon_img.src = '_images/' + image + '.png';\n", + " icon_img.srcset = '_images/' + image + '_large.png 2x';\n", + " icon_img.alt = tooltip;\n", + " button.appendChild(icon_img);\n", + "\n", + " buttonGroup.appendChild(button);\n", + " }\n", + "\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + "\n", + " var fmt_picker = document.createElement('select');\n", + " fmt_picker.classList = 'mpl-widget';\n", + " toolbar.appendChild(fmt_picker);\n", + " this.format_dropdown = fmt_picker;\n", + "\n", + " for (var ind in mpl.extensions) {\n", + " var fmt = mpl.extensions[ind];\n", + " var option = document.createElement('option');\n", + " option.selected = fmt === mpl.default_extension;\n", + " option.innerHTML = fmt;\n", + " fmt_picker.appendChild(option);\n", + " }\n", + "\n", + " var status_bar = document.createElement('span');\n", + " status_bar.classList = 'mpl-message';\n", + " toolbar.appendChild(status_bar);\n", + " this.message = status_bar;\n", + "};\n", + "\n", + "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n", + " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n", + " // which will in turn request a refresh of the image.\n", + " this.send_message('resize', { width: x_pixels, height: y_pixels });\n", + "};\n", + "\n", + "mpl.figure.prototype.send_message = function (type, properties) {\n", + " properties['type'] = type;\n", + " properties['figure_id'] = this.id;\n", + " this.ws.send(JSON.stringify(properties));\n", + "};\n", + "\n", + "mpl.figure.prototype.send_draw_message = function () {\n", + " if (!this.waiting) {\n", + " this.waiting = true;\n", + " this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_save = function (fig, _msg) {\n", + " var format_dropdown = fig.format_dropdown;\n", + " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n", + " fig.ondownload(fig, format);\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_resize = function (fig, msg) {\n", + " var size = msg['size'];\n", + " if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n", + " fig._resize_canvas(size[0], size[1], msg['forward']);\n", + " fig.send_message('refresh', {});\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n", + " var x0 = msg['x0'] / fig.ratio;\n", + " var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n", + " var x1 = msg['x1'] / fig.ratio;\n", + " var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n", + " x0 = Math.floor(x0) + 0.5;\n", + " y0 = Math.floor(y0) + 0.5;\n", + " x1 = Math.floor(x1) + 0.5;\n", + " y1 = Math.floor(y1) + 0.5;\n", + " var min_x = Math.min(x0, x1);\n", + " var min_y = Math.min(y0, y1);\n", + " var width = Math.abs(x1 - x0);\n", + " var height = Math.abs(y1 - y0);\n", + "\n", + " fig.rubberband_context.clearRect(\n", + " 0,\n", + " 0,\n", + " fig.canvas.width / fig.ratio,\n", + " fig.canvas.height / fig.ratio\n", + " );\n", + "\n", + " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n", + " // Updates the figure title.\n", + " fig.header.textContent = msg['label'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n", + " var cursor = msg['cursor'];\n", + " switch (cursor) {\n", + " case 0:\n", + " cursor = 'pointer';\n", + " break;\n", + " case 1:\n", + " cursor = 'default';\n", + " break;\n", + " case 2:\n", + " cursor = 'crosshair';\n", + " break;\n", + " case 3:\n", + " cursor = 'move';\n", + " break;\n", + " }\n", + " fig.rubberband_canvas.style.cursor = cursor;\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_message = function (fig, msg) {\n", + " fig.message.textContent = msg['message'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n", + " // Request the server to send over a new figure.\n", + " fig.send_draw_message();\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n", + " fig.image_mode = msg['mode'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n", + " for (var key in msg) {\n", + " if (!(key in fig.buttons)) {\n", + " continue;\n", + " }\n", + " fig.buttons[key].disabled = !msg[key];\n", + " fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n", + " if (msg['mode'] === 'PAN') {\n", + " fig.buttons['Pan'].classList.add('active');\n", + " fig.buttons['Zoom'].classList.remove('active');\n", + " } else if (msg['mode'] === 'ZOOM') {\n", + " fig.buttons['Pan'].classList.remove('active');\n", + " fig.buttons['Zoom'].classList.add('active');\n", + " } else {\n", + " fig.buttons['Pan'].classList.remove('active');\n", + " fig.buttons['Zoom'].classList.remove('active');\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.updated_canvas_event = function () {\n", + " // Called whenever the canvas gets updated.\n", + " this.send_message('ack', {});\n", + "};\n", + "\n", + "// A function to construct a web socket function for onmessage handling.\n", + "// Called in the figure constructor.\n", + "mpl.figure.prototype._make_on_message_function = function (fig) {\n", + " return function socket_on_message(evt) {\n", + " if (evt.data instanceof Blob) {\n", + " /* 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", + "\n", + " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n", + " evt.data\n", + " );\n", + " fig.updated_canvas_event();\n", + " fig.waiting = false;\n", + " return;\n", + " } else if (\n", + " typeof evt.data === 'string' &&\n", + " evt.data.slice(0, 21) === 'data:image/png;base64'\n", + " ) {\n", + " fig.imageObj.src = evt.data;\n", + " fig.updated_canvas_event();\n", + " fig.waiting = false;\n", + " return;\n", + " }\n", + "\n", + " var msg = JSON.parse(evt.data);\n", + " var msg_type = msg['type'];\n", + "\n", + " // Call the \"handle_{type}\" callback, which takes\n", + " // the figure and JSON message as its only arguments.\n", + " try {\n", + " var callback = fig['handle_' + msg_type];\n", + " } catch (e) {\n", + " console.log(\n", + " \"No handler for the '\" + msg_type + \"' message type: \",\n", + " msg\n", + " );\n", + " return;\n", + " }\n", + "\n", + " if (callback) {\n", + " try {\n", + " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n", + " callback(fig, msg);\n", + " } catch (e) {\n", + " console.log(\n", + " \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n", + " e,\n", + " e.stack,\n", + " msg\n", + " );\n", + " }\n", + " }\n", + " };\n", + "};\n", + "\n", + "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n", + "mpl.findpos = function (e) {\n", + " //this section is from http://www.quirksmode.org/js/events_properties.html\n", + " var targ;\n", + " if (!e) {\n", + " e = window.event;\n", + " }\n", + " if (e.target) {\n", + " targ = e.target;\n", + " } else if (e.srcElement) {\n", + " targ = e.srcElement;\n", + " }\n", + " if (targ.nodeType === 3) {\n", + " // defeat Safari bug\n", + " targ = targ.parentNode;\n", + " }\n", + "\n", + " // pageX,Y are the mouse positions relative to the document\n", + " var boundingRect = targ.getBoundingClientRect();\n", + " var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n", + " var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n", + "\n", + " return { x: x, y: y };\n", + "};\n", + "\n", + "/*\n", + " * return a copy of an object with only non-object keys\n", + " * we need this to avoid circular references\n", + " * http://stackoverflow.com/a/24161582/3208463\n", + " */\n", + "function simpleKeys(original) {\n", + " return Object.keys(original).reduce(function (obj, key) {\n", + " if (typeof original[key] !== 'object') {\n", + " obj[key] = original[key];\n", + " }\n", + " return obj;\n", + " }, {});\n", + "}\n", + "\n", + "mpl.figure.prototype.mouse_event = function (event, name) {\n", + " var canvas_pos = mpl.findpos(event);\n", + "\n", + " if (name === 'button_press') {\n", + " this.canvas.focus();\n", + " this.canvas_div.focus();\n", + " }\n", + "\n", + " var x = canvas_pos.x * this.ratio;\n", + " var y = canvas_pos.y * this.ratio;\n", + "\n", + " this.send_message(name, {\n", + " x: x,\n", + " y: y,\n", + " button: event.button,\n", + " step: event.step,\n", + " guiEvent: simpleKeys(event),\n", + " });\n", + "\n", + " /* This prevents the web browser from automatically changing to\n", + " * the text insertion cursor when the button is pressed. We want\n", + " * to control all of the cursor setting manually through the\n", + " * 'cursor' event from matplotlib */\n", + " event.preventDefault();\n", + " return false;\n", + "};\n", + "\n", + "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n", + " // Handle any extra behaviour associated with a key event\n", + "};\n", + "\n", + "mpl.figure.prototype.key_event = function (event, name) {\n", + " // Prevent repeat events\n", + " if (name === 'key_press') {\n", + " if (event.which === this._key) {\n", + " return;\n", + " } else {\n", + " this._key = event.which;\n", + " }\n", + " }\n", + " if (name === 'key_release') {\n", + " this._key = null;\n", + " }\n", + "\n", + " var value = '';\n", + " if (event.ctrlKey && event.which !== 17) {\n", + " value += 'ctrl+';\n", + " }\n", + " if (event.altKey && event.which !== 18) {\n", + " value += 'alt+';\n", + " }\n", + " if (event.shiftKey && event.which !== 16) {\n", + " value += 'shift+';\n", + " }\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, guiEvent: simpleKeys(event) });\n", + " return false;\n", + "};\n", + "\n", + "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n", + " if (name === 'download') {\n", + " this.handle_save(this, null);\n", + " } else {\n", + " this.send_message('toolbar_button', { name: name });\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n", + " this.message.textContent = tooltip;\n", + "};\n", + "\n", + "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n", + "// prettier-ignore\n", + "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n", + "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n", + "\n", + "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n", + "\n", + "mpl.default_extension = \"png\";/* global mpl */\n", + "\n", + "var comm_websocket_adapter = function (comm) {\n", + " // Create a \"websocket\"-like object which calls the given IPython comm\n", + " // object with the appropriate methods. Currently this is a non binary\n", + " // socket, so there is still some room for performance tuning.\n", + " var ws = {};\n", + "\n", + " ws.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 overridden (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 = document.getElementById(id);\n", + " var ws_proxy = comm_websocket_adapter(comm);\n", + "\n", + " function ondownload(figure, _format) {\n", + " window.open(figure.canvas.toDataURL());\n", + " }\n", + "\n", + " var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n", + "\n", + " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n", + " // web socket which is closed, not our websocket->open comm proxy.\n", + " ws_proxy.onopen();\n", + "\n", + " fig.parent_element = element;\n", + " fig.cell_info = mpl.find_output_cell(\"
\");\n", + " if (!fig.cell_info) {\n", + " console.error('Failed to find cell for figure', id, fig);\n", + " return;\n", + " }\n", + " fig.cell_info[0].output_area.element.on(\n", + " 'cleared',\n", + " { fig: fig },\n", + " fig._remove_fig_handler\n", + " );\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_close = function (fig, msg) {\n", + " var width = fig.canvas.width / fig.ratio;\n", + " fig.cell_info[0].output_area.element.off(\n", + " 'cleared',\n", + " fig._remove_fig_handler\n", + " );\n", + " fig.resizeObserverInstance.unobserve(fig.canvas_div);\n", + "\n", + " // Update the output cell to use the data from the current canvas.\n", + " fig.push_to_output();\n", + " var dataURL = fig.canvas.toDataURL();\n", + " // Re-enable the keyboard manager in IPython - without this line, in FF,\n", + " // the notebook keyboard shortcuts fail.\n", + " IPython.keyboard_manager.enable();\n", + " fig.parent_element.innerHTML =\n", + " '';\n", + " fig.close_ws(fig, msg);\n", + "};\n", + "\n", + "mpl.figure.prototype.close_ws = function (fig, msg) {\n", + " fig.send_message('closing', msg);\n", + " // fig.ws.close()\n", + "};\n", + "\n", + "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n", + " // Turn the data on the canvas into data in the output cell.\n", + " var width = this.canvas.width / this.ratio;\n", + " var dataURL = this.canvas.toDataURL();\n", + " this.cell_info[1]['text/html'] =\n", + " '';\n", + "};\n", + "\n", + "mpl.figure.prototype.updated_canvas_event = function () {\n", + " // Tell IPython that the notebook contents must change.\n", + " IPython.notebook.set_dirty(true);\n", + " this.send_message('ack', {});\n", + " var fig = this;\n", + " // Wait a second, then push the new image to the DOM so\n", + " // that it is saved nicely (might be nice to debounce this).\n", + " setTimeout(function () {\n", + " fig.push_to_output();\n", + " }, 1000);\n", + "};\n", + "\n", + "mpl.figure.prototype._init_toolbar = function () {\n", + " var fig = this;\n", + "\n", + " var toolbar = document.createElement('div');\n", + " toolbar.classList = 'btn-toolbar';\n", + " this.root.appendChild(toolbar);\n", + "\n", + " function on_click_closure(name) {\n", + " return function (_event) {\n", + " return fig.toolbar_button_onclick(name);\n", + " };\n", + " }\n", + "\n", + " function on_mouseover_closure(tooltip) {\n", + " return function (event) {\n", + " if (!event.currentTarget.disabled) {\n", + " return fig.toolbar_button_onmouseover(tooltip);\n", + " }\n", + " };\n", + " }\n", + "\n", + " fig.buttons = {};\n", + " var buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'btn-group';\n", + " var button;\n", + " for (var toolbar_ind in mpl.toolbar_items) {\n", + " var name = mpl.toolbar_items[toolbar_ind][0];\n", + " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", + " var image = mpl.toolbar_items[toolbar_ind][2];\n", + " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", + "\n", + " if (!name) {\n", + " /* Instead of a spacer, we start a new button group. */\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + " buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'btn-group';\n", + " continue;\n", + " }\n", + "\n", + " button = fig.buttons[name] = document.createElement('button');\n", + " button.classList = 'btn btn-default';\n", + " button.href = '#';\n", + " button.title = name;\n", + " button.innerHTML = '';\n", + " button.addEventListener('click', on_click_closure(method_name));\n", + " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", + " buttonGroup.appendChild(button);\n", + " }\n", + "\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + "\n", + " // Add the status bar.\n", + " var status_bar = document.createElement('span');\n", + " status_bar.classList = 'mpl-message pull-right';\n", + " toolbar.appendChild(status_bar);\n", + " this.message = status_bar;\n", + "\n", + " // Add the close button to the window.\n", + " var buttongrp = document.createElement('div');\n", + " buttongrp.classList = 'btn-group inline pull-right';\n", + " button = document.createElement('button');\n", + " button.classList = 'btn btn-mini btn-primary';\n", + " button.href = '#';\n", + " button.title = 'Stop Interaction';\n", + " button.innerHTML = '';\n", + " button.addEventListener('click', function (_evt) {\n", + " fig.handle_close(fig, {});\n", + " });\n", + " button.addEventListener(\n", + " 'mouseover',\n", + " on_mouseover_closure('Stop Interaction')\n", + " );\n", + " buttongrp.appendChild(button);\n", + " var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n", + " titlebar.insertBefore(buttongrp, titlebar.firstChild);\n", + "};\n", + "\n", + "mpl.figure.prototype._remove_fig_handler = function (event) {\n", + " var fig = event.data.fig;\n", + " if (event.target !== this) {\n", + " // Ignore bubbled events from children.\n", + " return;\n", + " }\n", + " fig.close_ws(fig, {});\n", + "};\n", + "\n", + "mpl.figure.prototype._root_extra_style = function (el) {\n", + " el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n", + "};\n", + "\n", + "mpl.figure.prototype._canvas_extra_style = function (el) {\n", + " // this is important to make the div 'focusable\n", + " el.setAttribute('tabindex', 0);\n", + " // reach out to IPython and tell the keyboard manager to turn it's self\n", + " // off when our div gets focus\n", + "\n", + " // location in version 3\n", + " if (IPython.notebook.keyboard_manager) {\n", + " IPython.notebook.keyboard_manager.register_events(el);\n", + " } else {\n", + " // location in version 2\n", + " IPython.keyboard_manager.register_events(el);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype._key_event_extra = function (event, _name) {\n", + " var manager = IPython.notebook.keyboard_manager;\n", + " if (!manager) {\n", + " manager = IPython.keyboard_manager;\n", + " }\n", + "\n", + " // Check for shift+enter\n", + " if (event.shiftKey && event.which === 13) {\n", + " this.canvas_div.blur();\n", + " // select the cell after this one\n", + " var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n", + " IPython.notebook.select(index + 1);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_save = function (fig, _msg) {\n", + " fig.ondownload(fig, null);\n", + "};\n", + "\n", + "mpl.find_output_cell = function (html_output) {\n", + " // Return the cell and output element which can be found *uniquely* in the notebook.\n", + " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n", + " // IPython event is triggered only after the cells have been serialised, which for\n", + " // our purposes (turning an active figure into a static one), is too late.\n", + " var cells = IPython.notebook.get_cells();\n", + " var ncells = cells.length;\n", + " for (var i = 0; i < ncells; i++) {\n", + " var cell = cells[i];\n", + " if (cell.cell_type === 'code') {\n", + " for (var j = 0; j < cell.output_area.outputs.length; j++) {\n", + " var data = cell.output_area.outputs[j];\n", + " if (data.data) {\n", + " // IPython >= 3 moved mimebundle to data attribute of output\n", + " data = data.data;\n", + " }\n", + " if (data['text/html'] === html_output) {\n", + " return [cell, data, j];\n", + " }\n", + " }\n", + " }\n", + " }\n", + "};\n", + "\n", + "// Register the function which deals with the matplotlib target/channel.\n", + "// The kernel may be null if the page has been refreshed.\n", + "if (IPython.notebook.kernel !== null) {\n", + " IPython.notebook.kernel.comm_manager.register_target(\n", + " 'matplotlib',\n", + " mpl.mpl_figure_comm\n", + " );\n", + "}\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "f, ax = plt.subplots(1, 1, figsize=(5,4))\n", + "p1 = ax.plot(t, hFoV, color=\"b\", label=\"hFoV\")\n", + "p2 = ax.plot(t, alt, label=\"Altitude\")\n", + "ax.set_xlabel(\"Time since T$_{0}$ [min]\")\n", + "ax.set_ylabel(\"Altitude [deg]\\n Field of view (m > 3) [deg$^2$]\", multialignment='center')\n", + "\n", + "ax2 = ax.twinx()\n", + "p3 = ax2.plot(t, mAve, color=\"r\", label=\"m_ave\")\n", + "ax2.set_ylabel(\"Average multiplicity\")\n", + "plt.tight_layout()\n", + "ps = p1+p2+p3\n", + "ax.legend(ps, [p.get_label() for p in ps], loc=5)\n", + "plt.show(block=False)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.5" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/Tutorial_3_Application.ipynb b/Tutorial_3_Application.ipynb new file mode 100644 index 0000000..0de805d --- /dev/null +++ b/Tutorial_3_Application.ipynb @@ -0,0 +1,835 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "%load_ext autoreload\n", + "%autoreload 2\n", + "%matplotlib inline" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "from ctadiv import *\n", + "from tqdm.notebook import tqdm" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Load frame and configuration" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Observer : CTA North\n", + "Location : Roque de los Muchachos , (5327.28509212, -1718.7771125, 3051.78673275) km\n", + "Observation time : 2020-06-20T03:00:00.000\n" + ] + } + ], + "source": [ + "cta = CTA_Info('north','2020-06-20T03:00')\n", + "array = LoadConfig(\"./config/layout-3AL4M15-5.txt\", frame=cta)\n", + "array.divergent_pointing(0)\n", + "default_hFoV = array.hFoV().value" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Calculate the hFoV and multiplicity for a given (RA, DEC)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Observer : CTA North\n", + "Location : Roque de los Muchachos , (5327.28509212, -1718.7771125, 3051.78673275) km\n", + "Observation time : 2020-06-20T03:00:00.000\n" + ] + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "ddea9f0a537844f7abf1d0056624e640", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + " 0%| | 0/26 [00:00" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "test = np.load(filename)\n", + "\n", + "z = []\n", + "for d in dec:\n", + " z.append(test[:,3][test[:,1]==d])\n", + "\n", + "z = np.asarray(z[::-1])\n", + "\n", + "extent = np.min(ra), np.max(ra), np.min(dec), np.max(dec)\n", + "\n", + "img = plt.imshow(z, cmap=plt.cm.viridis, alpha=.9, interpolation='spline36',\n", + " extent=extent)\n", + "plt.colorbar(img, anchor=(0, 0.3), shrink=0.7, label=r\"Multiplicity\")\n", + "plt.xlabel(\"RA [Deg]\")\n", + "plt.ylabel(\"DEC [Deg]\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Dynamical choice of the div parameter" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Load results" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [], + "source": [ + "div1 = np.load(\"./output/test_0h_0.01.npy\")\n", + "div2 = np.load(\"./output/test_0h_0.02.npy\")\n", + "div3 = np.load(\"./output/test_0h_0.03.npy\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Select div based on a criterion (hFoV_ratio > 2)" + ] + }, + { + "cell_type": "code", + "execution_count": 108, + "metadata": {}, + "outputs": [], + "source": [ + "z_h = []\n", + "idx = []\n", + "z_m = []\n", + "for d in dec:\n", + " r1 = div1[:,2][div1[:,1]==d]\n", + " r2 = div2[:,2][div2[:,1]==d]\n", + " r3 = div3[:,2][div3[:,1]==d]\n", + " m1 = div1[:,3][div1[:,1]==d]\n", + " m2 = div2[:,3][div2[:,1]==d]\n", + " m3 = div3[:,3][div3[:,1]==d]\n", + " \n", + " temp1 = []\n", + " temp2 = []\n", + " temp3 = []\n", + " for a, b, c, d, e, f in zip(r1, r2, r3, m1, m2, m3):\n", + " if a/default_hFoV > 2:\n", + " temp1.append(a)\n", + " temp2.append(0.01)\n", + " temp3.append(d)\n", + " elif b/default_hFoV > 2:\n", + " temp1.append(b)\n", + " temp2.append(0.02)\n", + " temp3.append(e)\n", + " else:\n", + " temp1.append(c)\n", + " temp2.append(0.03)\n", + " temp3.append(f)\n", + " z_h.append(temp1)\n", + " idx.append(temp2)\n", + " z_m.append(temp3)\n", + "\n", + "z_h = np.asarray(z_h[::-1])\n", + "idx = np.asarray(idx[::-1])\n", + "z_m = np.asarray(z_m[::-1])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Plot the results" + ] + }, + { + "cell_type": "code", + "execution_count": 109, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0, 0.5, 'DEC [Deg]')" + ] + }, + "execution_count": 109, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "extent = np.min(ra), np.max(ra), np.min(dec), np.max(dec)\n", + "\n", + "img = plt.imshow(z_h/default_hFoV, cmap=plt.cm.viridis, alpha=.9, interpolation='spline36',\n", + " extent=extent)\n", + "plt.colorbar(img, anchor=(0, 0.3), shrink=0.7, label=r\"Ratio\")\n", + "plt.xlabel(\"RA [Deg]\")\n", + "plt.ylabel(\"DEC [Deg]\")" + ] + }, + { + "cell_type": "code", + "execution_count": 106, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0, 0.5, 'DEC [Deg]')" + ] + }, + "execution_count": 106, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "extent = np.min(ra), np.max(ra), np.min(dec), np.max(dec)\n", + "\n", + "img = plt.imshow(z_m, cmap=plt.cm.viridis, alpha=.9, interpolation='spline36',\n", + " extent=extent)\n", + "plt.colorbar(img, anchor=(0, 0.3), shrink=0.7, label=r\"Multiplicity\")\n", + "plt.xlabel(\"RA [Deg]\")\n", + "plt.ylabel(\"DEC [Deg]\")" + ] + }, + { + "cell_type": "code", + "execution_count": 107, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0, 0.5, 'DEC [Deg]')" + ] + }, + "execution_count": 107, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "extent = np.min(ra), np.max(ra), np.min(dec), np.max(dec)\n", + "\n", + "img = plt.imshow(idx, cmap=plt.cm.viridis, alpha=.9, \n", + " extent=extent)\n", + "plt.colorbar(img, anchor=(0, 0.3), shrink=0.7, label=r\"Div\", ticks=[0.01, 0.02, 0.03], boundaries=[0.005, 0.015, 0.025, 0.035])\n", + "plt.xlabel(\"RA [Deg]\")\n", + "plt.ylabel(\"DEC [Deg]\")" + ] + }, + { + "cell_type": "code", + "execution_count": 115, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 115, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "test = np.load(\"./output/test_0h_0.01.npy\")\n", + "\n", + "z = []\n", + "for d in dec:\n", + " z.append(test[:,2][test[:,1]==d])\n", + "\n", + "z1 = np.asarray(z[::-1])\n", + "\n", + "\n", + "test = np.load(\"./output/test_0h_0.02.npy\")\n", + "\n", + "z = []\n", + "for d in dec:\n", + " z.append(test[:,2][test[:,1]==d])\n", + "\n", + "z2 = np.asarray(z[::-1])\n", + "\n", + "\n", + "plt.hist(z1.flatten()/default_hFoV, np.arange(1, 3, step=0.1), label=\"Static_0.01 (ave={:.1f})\".format(np.average(z1.flatten()/default_hFoV)), histtype=\"step\")\n", + "plt.hist(z2.flatten()/default_hFoV, np.arange(1, 3, step=0.1), label=\"Static_0.02 (ave={:.1f})\".format(np.average(z2.flatten()/default_hFoV)), histtype=\"step\")\n", + "plt.hist(z_h.flatten()/default_hFoV, np.arange(1, 3, step=0.1), label=\"Dynamic (ave={:.1f})\".format(np.average(z_h.flatten()/default_hFoV)), histtype=\"step\")\n", + "\n", + "plt.xlabel(r\"Ratio\")\n", + "plt.legend()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.5" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/__init__.py b/__init__.py deleted file mode 100644 index e69de29..0000000 diff --git a/archive/.DS_Store b/archive/.DS_Store new file mode 100644 index 0000000..52e94d6 Binary files /dev/null and b/archive/.DS_Store differ diff --git a/archive/development/__init__.py b/archive/development/__init__.py new file mode 100644 index 0000000..63c7f49 --- /dev/null +++ b/archive/development/__init__.py @@ -0,0 +1,2 @@ +from .load_fov import * + diff --git a/archive/development/load_fov.py b/archive/development/load_fov.py new file mode 100644 index 0000000..3750000 --- /dev/null +++ b/archive/development/load_fov.py @@ -0,0 +1,42 @@ +from astropy.table import Table +import astropy.units as u + +import numpy as np +from ..const import SCRIPT_DIR + +# Load FoV +class loadFov(): + _listOfFoV = ["05", "2", "4"] + + def __init__(self): + self.__loadFov__() + + for mode in self.listOfFoV: + setattr(self, "FoV_"+str(mode), self.__selectFoV__(mode)) + + def __repr__(self): + return self.table.__repr__() + + @property + def table(self): + return self._table + + @property + def listOfFoV(self): + return self._listOfFoV + + def __loadFov__(self): + tels_dict = [] + for mode in self.listOfFoV: + with open(SCRIPT_DIR+"/config/CTA-ULTRA6-LaPalma-divergent_{}_180.cfg".format(mode)) as div: + text = div.read() + text = text.split("#")[1:] + + for line in text: + line_list = line.split("\n") + tels_dict.append([mode, float(line_list[1].split("=")[1]), float(line_list[2].split("=")[1])]) + + self._table = Table(np.asarray(tels_dict), names=["FoV", "Theta", "Phi"], units=["", u.deg, u.deg]) + + def __selectFoV__(self, mode): + return self.table[self.table["FoV"]==mode] \ No newline at end of file diff --git a/divtel/Divergent_subarrays_North.ipynb b/archive/divtel/Divergent_subarrays_North.ipynb similarity index 100% rename from divtel/Divergent_subarrays_North.ipynb rename to archive/divtel/Divergent_subarrays_North.ipynb diff --git a/polar_plot_multiplicity/CTA-ULTRA6-LaPalma-divergent_05_180.cfg b/config/CTA-ULTRA6-LaPalma-divergent_05_180.cfg similarity index 100% rename from polar_plot_multiplicity/CTA-ULTRA6-LaPalma-divergent_05_180.cfg rename to config/CTA-ULTRA6-LaPalma-divergent_05_180.cfg diff --git a/polar_plot_multiplicity/CTA-ULTRA6-LaPalma-divergent_2_180.cfg b/config/CTA-ULTRA6-LaPalma-divergent_2_180.cfg similarity index 100% rename from polar_plot_multiplicity/CTA-ULTRA6-LaPalma-divergent_2_180.cfg rename to config/CTA-ULTRA6-LaPalma-divergent_2_180.cfg diff --git a/polar_plot_multiplicity/CTA-ULTRA6-LaPalma-divergent_3_180.cfg b/config/CTA-ULTRA6-LaPalma-divergent_3_180.cfg similarity index 100% rename from polar_plot_multiplicity/CTA-ULTRA6-LaPalma-divergent_3_180.cfg rename to config/CTA-ULTRA6-LaPalma-divergent_3_180.cfg diff --git a/polar_plot_multiplicity/CTA-ULTRA6-LaPalma-divergent_4_180.cfg b/config/CTA-ULTRA6-LaPalma-divergent_4_180.cfg similarity index 100% rename from polar_plot_multiplicity/CTA-ULTRA6-LaPalma-divergent_4_180.cfg rename to config/CTA-ULTRA6-LaPalma-divergent_4_180.cfg diff --git a/layout-3AL4-BN15-MST.txt b/config/layout-3AL4-BN15-MST.txt similarity index 100% rename from layout-3AL4-BN15-MST.txt rename to config/layout-3AL4-BN15-MST.txt diff --git a/layout-3AL4M15-5.txt b/config/layout-3AL4M15-5.txt similarity index 100% rename from layout-3AL4M15-5.txt rename to config/layout-3AL4M15-5.txt diff --git a/config/layout-corrected.txt b/config/layout-corrected.txt new file mode 100644 index 0000000..c6d30e1 --- /dev/null +++ b/config/layout-corrected.txt @@ -0,0 +1,19 @@ +-70.04 -7.23 54.00 28 1.05 +-34.37 110.98 43.00 28 1.05 +76.18 95.34 39.70 28 1.05 +31.81 -19.70 43.00 28 1.05 +-210.65 50.51 61.3 16 1.0736 +-179.06 223.02 42.1 16 1.0736 +27.96 243.56 23.2 16 1.0736 +176.27 127.90 19.3 16 1.0736 +124.21 -134.56 39.6 16 1.0736 +-74.73 -144.16 53.2 16 1.0736 +-214.79 -122.52 74.1 16 1.0736 +-98.11 376.45 20.7 16 1.0736 +21.08 -307.61 73.3 16 1.0736 +-196.40 -290.24 88.1 16 1.0736 +0.90 44.85 40.0 16 1.0736 +-302.85 384.60 3.3 16 1.0736 +-345.00 175.00 69.0 16 1.0736 +-374.99 -33.39 92.6 16 1.0736 +204.28 -267.84 53.0 16 1.0736 diff --git a/ctadiv/.DS_Store b/ctadiv/.DS_Store new file mode 100644 index 0000000..e3033d4 Binary files /dev/null and b/ctadiv/.DS_Store differ diff --git a/ctadiv/ArrayConfig/.DS_Store b/ctadiv/ArrayConfig/.DS_Store new file mode 100644 index 0000000..5008ddf Binary files /dev/null and b/ctadiv/ArrayConfig/.DS_Store differ diff --git a/ctadiv/ArrayConfig/__init__.py b/ctadiv/ArrayConfig/__init__.py new file mode 100644 index 0000000..6f86b24 --- /dev/null +++ b/ctadiv/ArrayConfig/__init__.py @@ -0,0 +1,5 @@ +from .layout import * + +from . import utils + +__version__ = 0.1 \ No newline at end of file diff --git a/ctadiv/ArrayConfig/array.py b/ctadiv/ArrayConfig/array.py new file mode 100644 index 0000000..d75a888 --- /dev/null +++ b/ctadiv/ArrayConfig/array.py @@ -0,0 +1,508 @@ +import numpy as np +import astropy.units as u +import matplotlib.pyplot as plt +import ipywidgets as widgets + +from astropy.table import Table +import astropy.table as tab + +from . import utils as utils +from . import visualization as visual +from . import pointing + +from ..cta import CTA_Info + +from astropy.coordinates import SkyCoord + +from shapely.ops import unary_union, polygonize +from shapely.geometry import LineString, Point + +import copy + + +class Array: + + """ + Class containing information on array (a set of telescopes) + + Parameters + ---------- + telescope_list: array, class.Telescope + Array containing class.Telescope + frame: class.CTA_Info + CTA Information + kwargs: dict + args for class.CTA_Info + """ + + def __init__(self, telescope_list, frame=None, pointing2src=False, **kwargs): + + self.telescopes = telescope_list + + self._div = 0 + self._pointing = {"az":0*u.deg, "alt":0*u.deg, "ra": 0*u.deg, "dec": 0*u.deg} + + if frame == None: + self._frame = CTA_Info(verbose=False, **kwargs) + else: + self._frame = copy.copy(frame) + if pointing2src and (self.frame.source is not None): + self.set_pointing_coord(ra = self.frame.source.icrs.ra.deg, + dec = self.frame.source.icrs.dec.deg) + + self.__make_table__() + + def __make_table__(self): + + """ + Merge rows from Telescope.table + + Returns + ------- + astropy.table + """ + + table = [] + + for tel in self.telescopes: + + table.append(tel.table) + + units = 'rad' + if hasattr(self, "_table"): + if hasattr(self._table, "units"): + units = self.table.units + + self._table = tab.vstack(table) + + self._table.add_column(self._dist2tel(), name="d_tel") + self._table["d_tel"].unit = u.m + self._table["d_tel"].info.format = "{:.2f}" + + self._table.units = units + + def __convert_units__(self, toDeg=True): + """ + Convert units in the table from deg to rad, and vice versa. + + Parameters + ---------- + toDeg: bool, optional + """ + + self._table = utils.deg2rad(self._table, toDeg) + if toDeg: + self._table.units = 'deg' + else: + self._table.units = 'rad' + + def _dist2tel(self): + """ + Distance to the telescope from the barycenter + + Returns + ------- + float + """ + + dist = np.zeros(self.size_of_array) + for i, axis in enumerate(["x", "y", "z"]): + dist += (self.table[axis] - self.barycenter[i])**2. + dist = np.sqrt(dist) + return dist + + @property + def table(self): + """ + Return astropy table containing all telescope information + An attribute, Array.table.units, determines the units of `az`, `alt`, `zn`, + `radius`, `fov` units (deg or rad) + + Returns + ------- + astropy.table + """ + if hasattr(self._table, "units"): + if (self._table.units == 'deg')*(self._table["az"].unit == u.rad): + self._table = utils.deg2rad(self._table, True) + elif (self._table.units == 'rad')*(self._table["az"].unit == u.deg): + self._table = utils.deg2rad(self._table, False) + return self._table + + @property + def size_of_array(self): + """ + Return the number of telescopes + + Returns + ------- + float + """ + return self._table.__len__() + + @property + def frame(self): + """ + Return a frame + + Returns + ------- + class.CTA_info + """ + return self._frame + + @property + def barycenter(self): + """ + Return a barycenter + + Returns + ------- + array + [b_x, b_y, b_z] + """ + return np.array(utils.calc_mean(self.table, ["x", "y", "z"])) + + @property + def div(self): + """ + Return a divergence parameter + + Returns + ------- + float + """ + return self._div + + @property + def pointing(self): + """ + Return pointing information + + Returns + ------- + dict + keys: `ra`, `dec`, `az`, and `alt` + """ + return self._pointing + + def calc_mean(self, params): + """ + Calculate the mean values of parameters + + Parameters + ---------- + params: str or array + see ArrayConfig.utils.calc_mean + + Returns + ------- + array + """ + return np.array(utils.calc_mean(self.table, params)) + + def hFoV(self, m_cut=0, return_multiplicity=False, full_output=False): + """ + Return a hyper field of view (hFoV) above a given multiplicity. + + Parameters + ---------- + m_cut: float, optional + the minimum multiplicity + return_multiplicity: bool, optional + return average and variance of multiplicity + full_output: bool, optional + return all parameters; multiplicity, overlaps, geoms + Returns + ------- + fov: float + hFoV + m_ave: float + average of multiplicity + m_var: float + variance of multiplicity + multiplicity: array + array containing multiplicity and corresponding hFoV + overlaps: array + array containing the number of overlaps for each patch + geoms: shapely.ops.polygonize + geometry of each patch + """ + if self.table.units == 'rad': + self.__convert_units__(toDeg=True) + + coord = self.get_pointing_coord(icrs=False) + + if max(self.table["az"])-min(self.table["az"]) > 180: + polygons = [] + for az, alt, r in zip(coord.az.degree, coord.alt.degree, self.table["radius"]): + if az < 180: + polygons.append(Point(az, alt).buffer(r)) + else: + polygons.append(Point(az-360, alt).buffer(r)) + else: + polygons = [Point(az, alt).buffer(r) for az, alt, r in zip(coord.az.degree, coord.alt.degree, self.table["radius"])] + + union = unary_union([LineString(list(pol.exterior.coords)) for pol in polygons]) + geoms = [geom for geom in polygonize(union)] + hfov = [geom.area for geom in geoms] + + count_overlaps = np.zeros(len(geoms)) + for i, geom in enumerate(geoms): + count_overlaps[i] = sum([1 for pol in polygons if abs(geom.difference(pol).area)<1e-5]) + + hfov = np.array(hfov) + + # multiplicity associated with each patch + overlaps = np.array(count_overlaps) + multiplicity = np.array([[i, hfov[overlaps==i].sum()] for i in set(overlaps)]) + + fov = sum(multiplicity[:,1][multiplicity[:,0]>=m_cut])*u.deg**2 + + if full_output: + return multiplicity, overlaps, geoms + elif return_multiplicity: + m_ave = np.average(multiplicity[:,0], weights=multiplicity[:,1]) + m_var = np.average((multiplicity[:,0]-m_ave)**2, weights=multiplicity[:,1]) + return fov, m_ave, m_var + else: + return fov + + def update_frame(self, site=None, time=None, delta_t=None, verbose=False): + """ + Update class.CTA_Info parameters (site and/or observation time) + + Parameters + ---------- + site: str, optional + Updated site name + time: str, optional + Updated observation time (yyyy-MM-ddThh:mm:ss) + delta_t: astropy.Quantity, optional + Elapsed time from the original observation time. + e.g., CTA_Info.update(delta_t= -0.5*u.hour) + -> t_new = t_old - 0.5 hour + verbose: optional + """ + + self.frame.update(site=site, time=time, delta_t=delta_t, verbose=verbose) + self.divergent_pointing(self.div, ra=self.pointing["ra"], dec=self.pointing["dec"]) + + def get_pointing_coord(self, icrs=True): + """ + Return pointing coordinates + + Parameters + ---------- + icrs: bool, optional + If True, return (ra, dec). + If False, return (alt, az) + """ + return pointing.pointing_coord(self.table, self.frame, icrs=icrs) + + def set_pointing_coord(self, src=None, ra = None, dec = None, alt=None, az = None, units='deg'): + """ + Set pointing coordinates + + Parameters + ---------- + src: astropy.coordinates.SkyCoord, optional + ra: float, optional + Right ascension of a source + dec: float, optional + Declination of a source + alt: float, optional + Mean altitude of the array + az: float, optional + Mean azumith angle of the array + units: str + Units of RA and DEC; either deg (default) or rad + """ + if type(src) == SkyCoord: + ra = src.icrs.ra.deg + dec = src.icrs.dec.deg + units = 'deg' + + if ra is not None and dec is not None: + src = self.frame.set_source_loc(ra=ra, dec=dec, units=units) + self._pointing["ra"] = src.icrs.ra.value * u.deg + self._pointing["dec"] = src.icrs.dec.value * u.deg + self._pointing["alt"] = src.alt.value * u.deg + self._pointing["az"] = src.az.value * u.deg + elif alt is not None and az is not None: + if units == "deg": + self._pointing["alt"] = alt * u.deg + self._pointing["az"] = az * u.deg + else: + self._pointing["alt"] = alt * u.rad + self._pointing["alt"] = az * u.rad + + for tel in self.telescopes: + tel.__point_to_altaz__(self.pointing["alt"], self.pointing["az"]) + + self.__make_table__() + + def divergent_pointing(self, div, ra=None, dec = None, alt=None, az=None, units="deg"): + """ + Divergent pointing given a parameter div. + Update pointing of all telescopes of the array. + + Parameters + ---------- + div: float between 0 and 1 + ra: float, optioanl + source ra + dec: float, optional + source dec + alt: float, optional + mean alt pointing + az: float, optional + mean az pointing + units: string, optional + either 'deg' (default) or 'rad' + """ + + self.set_pointing_coord(ra=ra, dec = dec, alt=alt, az=az, units=units) + + self._div = div + + if div > 1 or div < 0: + print("[Error] The div value should be between 0 and 1.") + elif div!=0: + G = pointing.pointG_position(self.barycenter, self.div, self.pointing["alt"], self.pointing["az"]) + for tel in self.telescopes: + alt_tel, az_tel = pointing.tel_div_pointing(tel.position, G) + tel.__point_to_altaz__(alt_tel*u.rad, az_tel*u.rad) + + self.__make_table__() + + def group_by(self, group = None): + + if type(group) == dict: + groupping = np.zeros(self.size_of_array) + labels = [] + j = 1 + for key in group.keys(): + labels.append(key) + for i in group[key]: + groupping[i-1] = j + j+=1 + tel_group = self._table.group_by(np.asarray(groupping)) + elif group: + tel_group = self._table.group_by("radius") + labels = ["group_{}".format(i+1) for i in range(len(tel_group.groups))] + else: + tel_group = self._table.group_by(np.zeros(self.size_of_array)) + labels = ["_nolegend_"] + return (tel_group, labels) + + + def display(self, projection, ax=None, group=False, **kwargs): + """ + Display the CTA array + + Parameters + ---------- + projection: str + any combination of `x`, `y`, and `z` or `skymap` + ax: pyplot.axes, optional + group: bool or dict, optional + kwargs: args for `pyplot.scatter` + + Returns + ------- + ax: `matplotlib.pyplot.axes` + """ + tel_group, labels = self.group_by(group) + + if projection == 'skymap': + for i, [table, label] in enumerate(zip(tel_group.groups, labels)): + + ax = visual.display_skymap(table, self.frame, + label=labels[i], ax=ax) + return ax + else: + proj = [] + for axis in ["x", "y", "z"]: + if axis in projection: + proj.append(axis) + + if len(proj) == 1: + ax = visual.display_1d(tel_group, proj, ax=ax, labels=labels, **kwargs) + elif len(proj) == 2: + ax = visual.display_2d(tel_group, proj, ax=ax, labels=labels, **kwargs) + else: + ax = visual.display_3d(tel_group, proj, ax=ax, labels=labels, **kwargs) + + return ax + + def skymap_polar(self, group=None, fig=None, filename=None): + """ + Plot skymap + + Parameters + ---------- + group: bool or dict, optional + fig: pyplot.figure, optional + filemane: str, optional + + """ + return visual.skymap_polar(self, group=group, fig=fig, filename=filename) + + def multiplicity_plot(self, fig=None): + """ + Plot multiplicity + + Parameters + ---------- + fig: pyplot.figure, optional + """ + return visual.multiplicity_plot(self, fig=fig) + + def export_cfg(self, filename=None, outdir="./output/", verbose=False): + """ + Export cfg file. + + Parameters + ---------- + filename: str, optional + A default name is 'CTA-ULTRA6-LaPalma-divX-azX-altX.cfg' + + verbose: bool, optional + """ + + if filename==None: + filename = 'CTA-ULTRA6-LaPalma-div{}-az{}-alt{}.cfg'.format( + str(self.div).replace(".", "_"), + str(self.pointing["az"].value).replace(".", "_"), + str(self.pointing["alt"].value).replace(".", "_")) + + with open(outdir+filename, 'w') as f: + f.write('#ifndef TELESCOPE\n') + f.write('# define TELESCOPE 0\n') + f.write('#endif\n') + f.write('#if TELESCOPE == 0\n') + f.write(' TELESCOPE_THETA={:.2f} \n'.format(90 - self.pointing["alt"].value)) + f.write(' TELESCOPE_PHI={:.2f} \n'.format(self.pointing["az"].value)) + f.write('\n% Global and default configuration for things missing in telescope-specific config.\n') + f.write('# include \n') + for n, tel in enumerate(self.table, 1): + zd = 90 - tel['alt'] + f.write('\n#elif TELESCOPE == {:d}\n'.format(n)) + if n <= 4: + f.write('# include \n') + else: + f.write('# include \n') + f.write(' TELESCOPE_THETA={:.2f}\n'.format(zd)) + f.write(' TELESCOPE_PHI={:.2f}\n'.format(tel["az"])) + f.write('#else\n') + f.write(' Error Invalid telescope for CTA-ULTRA6 La Palma configuration.\n') + f.write('#endif\n') + f.write('trigger_telescopes = 2 % In contrast to Prod-3 South we apply loose stereo trigger immediately\n') + f.write('array_trigger = array_trigger_ultra6_diver-test.dat\n') + + if verbose: + with open(outdir+filename, 'r') as f: + for line in f.readlines(): + print(line) + diff --git a/ctadiv/ArrayConfig/layout.py b/ctadiv/ArrayConfig/layout.py new file mode 100644 index 0000000..b555333 --- /dev/null +++ b/ctadiv/ArrayConfig/layout.py @@ -0,0 +1,49 @@ +from ..const import CONFIG_DIR +from .telescope import Telescope +from .array import Array +import astropy.units as u +import numpy as np + +from . import utils + +def LoadConfig(file, tel_id=-1, radius="degrees", frame=None, **kwargs): + + """ + Load the telescope configuration file + + Parameters + ---------- + file: str + File name + tel_id: int, optional + If you want to load only a single telescope, + you can set this parameter (defalut: -1) + radius: str, optional + Define the unit of camera radius + either `meters` or `degrees` (default: degrees). + frame: class.CTA_Info, optional + kwargs: args for class.Array + + Returns + ------- + class.Array + """ + + with open(file, "r") as f: + + tels = [] + for i, line in enumerate(f.readlines()): + line = np.asarray(line.split()).astype("float") + + if (radius!="meters"): + line[4] = utils.convert_radius(line[4]*u.deg, line[3], toDeg=False) + + coord = [x*u.m for x in line] + + tel = Telescope(i+1, coord[0],coord[1],coord[2],coord[3],coord[4]) + tels.append(tel) + + if tel_id == -1: + return Array(tels, frame=frame, **kwargs) + else: + return tels[tel_id-1] \ No newline at end of file diff --git a/ctadiv/ArrayConfig/pointing.py b/ctadiv/ArrayConfig/pointing.py new file mode 100644 index 0000000..659c5ff --- /dev/null +++ b/ctadiv/ArrayConfig/pointing.py @@ -0,0 +1,127 @@ +""" +Functions to define telescopes pointings +We use the same reference frame as simtel_array: +X is pointing North +Y is pointing East +Z is pointing upward +Az is taken clock-wise from X (towards Y) and between 0 and 180 degrees +Alt is taken from ground (towards Z) and between 0 and 90 degrees +""" + +import numpy as np +import astropy.units as u +from astropy.coordinates import SkyCoord, ICRS + + +def alt_az_to_vector(alt, az): + """ + Compute a pointing vector from an alt,az pointing direction + + Parameters + ---------- + alt: float + angle in rad + az: float + angle in rad + Returns + ------- + array + [x, y, z] + """ + + x = np.cos(alt.to(u.rad)) * np.cos(az.to(u.rad)) + y = -np.cos(alt.to(u.rad)) * np.sin(az.to(u.rad)) + z = np.sin(alt.to(u.rad)) + return np.array([x, y, z]) + +def _norm_div(div, scale=100): + """ + Transformation function from div parameter to norm + to compute the position of G + + Parameters + ---------- + div: float + scale: float + telescope distance from barycenter at which + div = divergence_angle/90deg + + Returns + ------- + float + """ + return scale/np.tan(np.arcsin(div)) + +def pointG_position(barycenter, div, alt_mean, az_mean): + """ + Compute the position of G for the pointing + + Parameters + ---------- + barycenter: np.array([x,y,z]) + position of the barycenter of the array + div: float + alt_mean: astropy.Quantity + mean pointing altitude in radians from which to diverge + az_mean: astropy.Quantity + mean pointing azimuth in radians from which to diverge + + Returns + ------- + array + [Gx, Gy, Gz] + """ + norm = _norm_div(div) + Gx = barycenter[0] - norm * np.cos(alt_mean) * np.cos(az_mean) + Gy = barycenter[1] + norm * np.cos(alt_mean) * np.sin(az_mean) + Gz = barycenter[2] - norm * np.sin(alt_mean) + return np.array([Gx, Gy, Gz]) + +def tel_div_pointing(tel_position, G): + """ + Divergent pointing to a point G. + + Parameters + ---------- + tel_position: array + telescope coordinates, [x, y, z] + G: array + [Gx, Gy, Gz] + + Returns + ------- + alt: float + altitude + az: float + azumith angle + """ + GT = np.sqrt(((tel_position - G) ** 2).sum()) + alt = np.arcsin((tel_position[2] - G[2]) / GT) + az = np.arctan2(-(tel_position[1] - G[1]), (tel_position[0] - G[0])) + return alt, az + + +def pointing_coord(table, frame, icrs=False): + """ + Sky coordinate of each telescope with a given frame. + + Parameters + ---------- + table: astropy.table + table containing `alt` and `az` of each telescope + frame: class.CTA_Info + frame containing information of site and obsrvation time + icrs: bool, optional + If True, it returns ICRS coordinate + + Returns + ------- + astropy.coordinates.SkyCoord + """ + coord = SkyCoord(alt=table["alt"], az=table["az"], frame=frame.altaz, unit=table["alt"].unit) + + if icrs: + return coord.transform_to(ICRS()) + else: + return coord + diff --git a/ctadiv/ArrayConfig/telescope.py b/ctadiv/ArrayConfig/telescope.py new file mode 100644 index 0000000..8e3e586 --- /dev/null +++ b/ctadiv/ArrayConfig/telescope.py @@ -0,0 +1,192 @@ +import numpy as np +import astropy.units as u + +from astropy.table import Table + +from . import utils as utils +from . import pointing + +class Telescope: + """ + Class containing information on a telescope + + Parameters + ---------- + x: float + x position + y: float + y position + z: float + z position + focal: float + focal length + camera_radius: float + camera radius + """ + + + def __init__(self, _id, x, y, z, focal, camera_radius): + + self.id = _id + self.x = x.to(u.m) + self.y = y.to(u.m) + self.z = z.to(u.m) + self.focal = focal.to(u.m) + self.camera_radius = camera_radius.to(u.m) + self.alt = u.Quantity(0, u.rad) + self.az = u.Quantity(0, u.rad) + + self.__make_table__() + + def __convert_units__(self, toDeg=True): + """ + Convert units in the table from deg to rad, and vice versa. + + Parameters + ---------- + toDeg: bool, optional + """ + self._table = utils.deg2rad(self._table, toDeg) + + def __make_table__(self): + """ + Make a table with input parameters + + Returns + ------- + astropy.table + """ + + properties = [[self.id, self.x.value, self.y.value, self.z.value, + self.az.value, self.alt.value, self.zn.value, self.focal.value, + self.camera_radius.value, self.fov.value, *tuple(self.pointing_vector), + ]] + + label = ["id", "x", "y", "z", "az", "alt", "zn", "focal", "radius", "fov", "p_x", "p_y", "p_z"] + units = ["", u.m, u.m, u.m, u.rad, u.rad, u.rad, u.m, u.m, u.rad**2, "", "", ""] + dtype = [np.int] + [np.float for i in range(len(units)-1)] + table = Table(np.asarray(properties, dtype="object"), names=label, units=units, dtype=dtype) + + for col in table.columns[4:]: + table[col].info.format = '{:.3f}' + + table.units = "rad" + self._table = table + + def __update_table__(self, names, values={}): + """ + Update a table with new parameters + + Parameters + ---------- + names: array, str + names of parameters + If it is `pointing`, update `p_x`, `p_y`, and `p_z`. + Otherwise update input parameters + values: dict, optional + values of parameters + If `name` is in `values`, a value in a table is updated with the one + in `values`. Otherwise, the table value matches the one in Class attributes. + e.g., + if name in values.keys(): + Telescope.table[name] = values[name] + else: + Telescope.table[name] = getattr(Telescope, name) + """ + for i, name in enumerate(names): + if name == "pointing": + new_val = self.pointing_vector + for j, v in enumerate(["p_x", "p_y", "p_z"]): + if v in values.keys(): + self._table[v] = values[v] + else: + self._table[v] = new_val[j] + self._table[v].info.format = '{:.3f}' + + else: + if name in values.keys(): + self._table[name] = values[name] + else: + self._table[name] = getattr(self, name) + self._table[name].info.format = '{:.3f}' + + def __point_to_altaz__(self, alt, az): + """ + Make a telescope point to altitude and azumith angle + and then update alt and az columns in a table + + Parameters + ---------- + alt: float + altitude + az: float + azimuth angle + """ + + self.alt = alt.to(u.rad) + self.az = az.to(u.rad) + if self.az < 0: + self.az += 2*np.pi*u.rad + self.__update_table__(["alt", "az", "zn", "pointing"]) + + @property + def table(self): + """ + Return astropy table containing telescope information + + Returns + ------- + astropy.table + """ + return self._table + + @property + def zn(self): + """ + Return zenith angle in rad or deg + + Returns + ------- + astropy.Quantity + """ + if self.alt.unit == u.rad: + return np.pi/2.*u.rad - self.alt + else: + return 90*u.deg - self.alt + + @property + def fov(self): + """ + Return a field of view (fov) in rad^2. + + Returns + ------- + astropy.Quantity + """ + return np.pi * (self.camera_radius / self.focal)**2*u.rad**2 + + @property + def position(self): + """ + Return x, y, and z positions + + Returns + ------- + array + [x, y, z] + """ + return np.array([self.x.to(u.m).value, self.y.to(u.m).value, self.z.to(u.m).value]*u.m) + + @property + def pointing_vector(self): + """ + Return pointing vectors of x, y, and z directions + + Returns + ------- + array + [p_x, p_y, p_z] + """ + + return pointing.alt_az_to_vector(self.alt, self.az) + diff --git a/ctadiv/ArrayConfig/utils.py b/ctadiv/ArrayConfig/utils.py new file mode 100644 index 0000000..d1999e0 --- /dev/null +++ b/ctadiv/ArrayConfig/utils.py @@ -0,0 +1,95 @@ +import numpy as np +import matplotlib.pyplot as plt + +import astropy.units as u + +def calc_mean(table, columns): + """ + Calculate a mean value of columns + + Parameters + ---------- + table: astropy.table + columns: str or array + names of columns + + Returns + ------- + float + """ + + if np.size(columns) == 1: + columns = [columns] + + mean = [] + for column in columns: + if column in ["p_x", "p_y", "p_z"]: + mean.append(np.average(table[column], weights=table["d_tel"])) + else: + mean.append(np.mean(table[column])) + return tuple(mean) + +def deg2rad(table, toDeg=False): + """ + Convert units in a table from rad to deg and vice versa. + `az`, `alt`, `zn`, `radius`, `fov` units are changed. + + Parameters + ---------- + table: astropy.table + toDeg: bool, optional + If True, the output table is in `deg`. Otherwise, in `rad`. + + Returns + ------- + astropy.table + """ + if toDeg: + for par in ["az", "alt", "zn"]: + table[par] = table[par].to(u.deg) + table[par].info.format = '{:.3f}' + + table["radius"] = convert_radius(table["radius"], table["focal"], toDeg=toDeg) + table["radius"].info.format = '{:.3f}' + + table["fov"] = table["fov"].to(u.deg**2) + table["fov"].info.format = '{:.3f}' + else: + for par in ["az", "alt", "zn"]: + table[par] = table[par].to(u.rad) + table[par].info.format = '{:.3f}' + + table["radius"] = convert_radius(table["radius"], table["focal"], toDeg=toDeg) + table["radius"].info.format = '{:.3f}' + + table["fov"] = table["fov"].to(u.rad**2) + table["fov"].info.format = '{:.3f}' + return table + +def convert_radius(radius, focal, toDeg=False): + """ + Convert the unit of camera radius from degree to meter, and vice versa. + + Parameters + ---------- + radius: float, astropy.Quantity + camera radius of a telecope + focal: float, astropy.Quantity + focal length of a telescope + toDeg: bool, optional + If True, the output is in degree. + If False, the output is in meter. + + Returns + ------- + astropy.Quantity + """ + if toDeg and radius.unit == u.m: + temp = np.arctan(np.asarray(radius/focal)) + temp = temp*u.rad + radius = temp.to(u.deg) + elif not(toDeg) and radius.unit == u.deg: + temp = radius.to(u.rad) + radius= np.tan(temp.value)*focal + return radius + diff --git a/ctadiv/ArrayConfig/visualization.py b/ctadiv/ArrayConfig/visualization.py new file mode 100644 index 0000000..b560b5c --- /dev/null +++ b/ctadiv/ArrayConfig/visualization.py @@ -0,0 +1,393 @@ +import numpy as np + +import matplotlib as mpl +import matplotlib.pyplot as plt + +from ipywidgets import widgets +from IPython.display import display + +import copy + +import astropy.units as u +from astropy.coordinates import SkyCoord + +from astroplan.plots import plot_sky +from astroplan import FixedTarget + +from . import utils +from ..const import COLORS +from . import pointing + +import mpl_toolkits.axisartist.angle_helper as angle_helper +from mpl_toolkits.axisartist import SubplotHost, ParasiteAxesAuxTrans +from mpl_toolkits.axisartist.grid_helper_curvelinear import GridHelperCurveLinear + +from matplotlib.projections import PolarAxes +from matplotlib.transforms import Affine2D +from astropy.visualization.wcsaxes import SphericalCircle + +from shapely.geometry import mapping +from descartes import PolygonPatch + +def display_1d(table, proj, ax=None, labels=None, **kwargs): + + xb = utils.calc_mean(table, proj[0]) + + ax = plt.figure().add_subplot(111) if ax is None else ax + + for i, [tels, label] in enumerate(zip(table.groups, labels)): + c = COLORS(i) + for val in tels[proj[0]]: + ax.axvline(val, label=label, color=c, **kwargs) + label='_nolegend_' + + ax.axvline(xb, color="r", label='barycenter', **kwargs) + ax.set_xlabel("{} [m]".format(proj[0])) + ax.set_yticks([0, 1]) + ax.legend(frameon=False) + + return ax + +def display_2d(table, proj, ax=None, labels=None, **kwargs): + + if ax is None: + ax = plt.figure().add_subplot(111) + + scale = 1 + + b_output = utils.calc_mean(table, [proj[0], proj[1], "p_"+proj[0], "p_"+proj[1]]) + + for i, [tels, label] in enumerate(zip(table.groups, labels)): + xx = tels[proj[0]] + yy = tels[proj[1]] + xv = tels["p_"+proj[0]] + yv = tels["p_"+proj[1]] + ids = tels["id"] + + s = ax.scatter(xx, yy, label=label, **kwargs) + ax.quiver(xx, yy, xv, yv, color=s.get_facecolor()) + + for i, x, y in zip(ids, xx, yy): + ax.annotate(i, (x,y)) + + ax.scatter(b_output[0], b_output[1], marker='+', label='barycenter', color="r") + ax.quiver(*b_output, color="r") + ax.set_xlabel("{} [m]".format(proj[0])) + ax.set_ylabel("{} [m]".format(proj[1])) + + ax.grid('on') + ax.axis('equal') + xlim = ax.get_xlim() + ylim = ax.get_ylim() + ax.set_xlim(xlim[0] - 0.25 * np.abs(xlim[0]), xlim[1] + 0.25 * np.abs(xlim[1])) + ax.set_ylim(ylim[0] - 0.25 * np.abs(ylim[0]), ylim[1] + 0.25 * np.abs(ylim[1])) + ax.legend(frameon=False) + + return ax + +def display_3d(table, proj, ax=None, labels=None, **kwargs): + + ax = plt.figure().add_subplot(111, projection='3d') + + scale = 1 + + max_range = [] + for axis in ["x", "y", "z"]: + max_range.append(table[axis].max() - table[axis].min()) + max_range = max(max_range) + + for i, [tels, label] in enumerate(zip(table.groups, labels)): + xx = tels["x"] + yy = tels["y"] + zz = tels["z"] + c = COLORS(i) + ax.quiver(xx, yy, zz, + tels["p_x"], tels["p_y"], tels["p_z"], + length=max_range, + label=label, + color=c, + ) + + Xb = scale * max_range * np.mgrid[-1:2:2, -1:2:2, -1:2:2][0].flatten() + scale * (xx.max() + xx.min()) + Yb = scale * max_range * np.mgrid[-1:2:2, -1:2:2, -1:2:2][1].flatten() + scale * (yy.max() + yy.min()) + Zb = scale * max_range * np.mgrid[-0.01:2:2, -0.01:2:2, -0.01:2:2][2].flatten() + scale * (zz.max() + zz.min()) + + for xb, yb, zb in zip(Xb, Yb, Zb): + ax.plot([xb], [yb], [zb], 'w') + + xx = utils.calc_mean(table, proj[0]) + yy = utils.calc_mean(table, proj[1]) + zz = utils.calc_mean(table, proj[2]) + xbv = utils.calc_mean(table, "p_"+proj[0]) + ybv = utils.calc_mean(table, "p_"+proj[1]) + zbv = utils.calc_mean(table, "p_"+proj[2]) + + ax.quiver(xx, yy, zz, + xbv, ybv, zbv, + color="r", + length=max_range, + label='barycenter', + ) + + ax.set_xlabel('x [m]') + ax.set_ylabel('y [m]') + ax.set_zlabel('z [m]') + ax.legend(frameon=False) + + return ax + +def display_barycenter(table, proj, ax=None, labels=None, fig=None, **kwargs): + + if fig is None: + fig = plt.figure() + + if ax is None: + ax = fig.add_subplot(111) + + scale = 1 + + for i, (tab, label) in enumerate(zip(table.groups, labels)): + output = utils.calc_mean(tab, [proj[0], proj[1], "p_"+proj[0], "p_"+proj[1]]) + s = ax.scatter(output[0], output[1], color=COLORS(i),) + ax.quiver(*output, color=s.get_facecolor()) + + ax.annotate(label, (output[0],output[1])) + + ax.set_xlabel("{} [m]".format(proj[0])) + ax.set_ylabel("{} [m]".format(proj[1])) + + ax.grid('on') + ax.axis('equal') + xlim = ax.get_xlim() + ylim = ax.get_ylim() + ax.set_xlim(xlim[0] - 0.25 * np.abs(xlim[0]), xlim[1] + 0.25 * np.abs(xlim[1])) + ax.set_ylim(ylim[0] - 0.25 * np.abs(ylim[0]), ylim[1] + 0.25 * np.abs(ylim[1])) + ax.legend(frameon=False) + + return ax + +def interactive_barycenter(array, proj="xy", overwrite=True, group=False): + + if overwrite: + new_array = array + else: + new_array = copy.deepcopy(array) + + fig = plt.figure() + + def update(div=0, az=0, alt=0): + + new_array.divergent_pointing(div, az = az, alt = alt, units='deg') + new_array.__convert_units__(toDeg=True) + plt.cla() + groupped_table, labels = new_array.group_by(group) + display_barycenter(groupped_table, proj, labels=labels, fig=fig) + fig.canvas.draw_idle() + + div_s = widgets.FloatLogSlider(value=new_array.div, base=10, min=-4, max =0, step=0.2, description='Divergence') + az_s = widgets.FloatSlider(value=new_array.pointing["az"].value, min=0, max=360, step=0.01, description='Azumith [deg]') + alt_s = widgets.FloatSlider(value=new_array.pointing["alt"].value, min=0, max=90, step=0.01, description='Altitude [deg]') + + ui = widgets.HBox([div_s, alt_s, az_s]) + out = widgets.interactive_output(update, {'div': div_s, 'az': az_s, 'alt': alt_s}) + display(ui, out) + + return new_array + +def display_skymap(table, frame, ax=None, **kwargs): + + ax = plt.figure().add_subplot(111, projection='polar') if ax is None else ax + + radec = pointing.pointing_coord(table, frame, icrs=True) + + point = SkyCoord(ra=radec.ra, dec=radec.dec) + + target = FixedTarget(coord=point, name="source") + + plot_sky(target, frame.observer, frame.t_obs, ax=ax, style_kwargs=kwargs) + + return ax + +def skymap_polar(array, group=False, fig=None, filename=None): + + if fig is None: + fig = plt.figure() + else: + ax = fig.gca() + ax.set_xticklabels([]) + ax.set_yticklabels([]) + + tr = Affine2D().scale(np.pi/180., 1.).translate(+np.pi/2.,0) + PolarAxes.PolarTransform() + + n = 20 + extreme_finder = angle_helper.ExtremeFinderCycle(10, 10, + lon_cycle=360, + lat_cycle=None, + lon_minmax=None, + lat_minmax=(-90, 90), + ) + + grid_locator1 = angle_helper.LocatorDMS(12) + + tick_formatter1 = angle_helper.FormatterDMS() + + grid_helper = GridHelperCurveLinear(tr, + extreme_finder=extreme_finder, + grid_locator1=grid_locator1, + tick_formatter1=tick_formatter1 + ) + + + + ax1 = SubplotHost(fig, 1, 1, 1, grid_helper=grid_helper) + ax1.axis["right"].major_ticklabels.set_visible(False) + ax1.axis["top"].major_ticklabels.set_visible(False) + + fig.add_subplot(ax1) + + ax2 = ParasiteAxesAuxTrans(ax1, tr, "equal") + + ax1.parasites.append(ax2) + + array.__convert_units__(toDeg=True) + tel_group, labels = array.group_by(group) + + for tel_table, label in zip(tel_group.groups, labels): + s = ax1.scatter(tel_table["az"], tel_table["alt"], label=label, + s=20, edgecolor="black", transform=ax2.transData, zorder=10) + + + for tel in tel_table: + r = SphericalCircle((tel["az"] * u.deg, tel["alt"] * u.deg), tel["radius"] * u.deg, + color=s.get_facecolor()[0], alpha=0.1, transform=ax2.transData) + ax1.add_patch(r) + ax2.annotate(tel["id"], (tel["az"], tel["alt"]), fontsize=12, xytext=(4, 4), + color="black", textcoords='offset pixels', zorder=10) + + + ax1.grid(True) + ax1.set_xlabel("Azimuth [deg]", fontsize=20) + ax1.set_ylabel("Altitude [deg]", fontsize=20) + ax1.legend(loc=1) + + + if filename is not None: + plt.savefig(filename) + plt.show(block=False) + +def interactive_polar(array, overwrite=True, group=False): + + if overwrite: + new_array = array + else: + new_array = copy.deepcopy(array) + + fig = plt.figure() + + + def update(div=0, az=0, alt=0): + + new_array.divergent_pointing(div, az = az, alt = alt, units='deg') + new_array.__convert_units__(toDeg=True) + plt.cla() + new_array.skymap_polar(group=group, fig=fig) + fig.canvas.draw_idle() + + div_s = widgets.FloatLogSlider(value=new_array.div, base=10, min=-4, max =0, step=0.2, description='Divergence') + az_s = widgets.FloatSlider(value=new_array.pointing["az"].value, min=0, max=360, step=0.01, description='Azumith [deg]') + alt_s = widgets.FloatSlider(value=new_array.pointing["alt"].value, min=0, max=90, step=0.01, description='Altitude [deg]') + + ui = widgets.HBox([div_s, alt_s, az_s]) + out = widgets.interactive_output(update, {'div': div_s, 'az': az_s, 'alt': alt_s}) + display(ui, out) + + return new_array + + +def multiplicity_plot(array, m_cut = 0, fig=None): + + m, overlaps, geoms = array.hFoV(full_output=True) + max_m = int(array.size_of_array) + ave_multi = np.average(m[:,0], weights=m[:,1]) + var_multi = np.average((m[:,0]-ave_multi)**2, weights=m[:,1]) + + if fig is None: + fig = plt.figure(figsize=(10, 4)) + + cmap = plt.cm.get_cmap('rainbow') + color_list = cmap(np.linspace(0, 1, max_m)) + bounds = np.arange(max_m + 1) + 1 + + gs = mpl.gridspec.GridSpec(1, 2) + + ax = plt.subplot(gs[0]) + ax_cb = fig.add_axes([0.44,0.15,0.01,0.7]) + ax_mul = plt.subplot(gs[1]) + + plt.subplots_adjust(wspace=0.5) + + cmap = plt.cm.get_cmap('rainbow') + color_list = cmap(np.linspace(0, 1, max_m)) + + minmax = [] + for i, pol in enumerate(geoms): + colore = int(overlaps[i]) + pol_map = mapping(pol) + ax.add_patch(PolygonPatch(pol_map, color=color_list[colore-1])) + patch_az = np.asarray(pol_map['coordinates'])[0][:,0] + minmax.append([min(patch_az), max(patch_az)]) + minmax = np.asarray(minmax) + + norm = mpl.colors.BoundaryNorm(bounds, cmap.N) + + cb1 = mpl.colorbar.ColorbarBase(ax_cb, + norm=norm, + cmap=cmap, + boundaries = bounds, + orientation='vertical', + label='Multiplicity') + cb1.set_ticks(np.arange(0, max_m+1, step=2) + 1) + cb1.set_ticklabels(np.arange(0, max_m+1, step=2)) + + ax.set_xlabel("Azimuth [deg]") + ax.set_ylabel("Altitude [deg]") + ax.set_xlim(np.min(minmax[:,0])-5, np.max(minmax[:,1])+5) + ax.set_ylim(np.min(array.table["alt"])-5, np.max(array.table["alt"])+5) + + ax.text(0.9, 0.9, r"Average: {:.1f} $\pm$ {:.1f}".format(ave_multi, np.sqrt(var_multi)), + ha="right", transform=ax.transAxes) + + ax_mul.bar(m[:,0], m[:,1]) + ax_mul.text(0.9, 0.9, "Total hFoV = {:.0f}".format(sum(m[:,1][m[:,0]>=m_cut])), ha="right", transform=ax_mul.transAxes) + ax_mul.set_xticks(np.arange(0, max_m+1, step=2)) + ax_mul.set_xlim(0.5, max_m+0.5) + ax_mul.set_ylabel('HFOV') + ax_mul.set_xlabel('Multiplicity') + + +def interactive_multiplicity(array, overwrite=True): + + if overwrite: + new_array = array + else: + new_array = copy.deepcopy(array) + + fig = plt.figure(figsize=(10, 4)) + + def update(div=0, az=0, alt=0): + + new_array.divergent_pointing(div, az = az, alt = alt, units='deg') + new_array.__convert_units__(toDeg=True) + plt.cla() + new_array.multiplicity_plot(fig=fig) + fig.canvas.draw_idle() + + div_s = widgets.FloatLogSlider(value=new_array.div, base=10, min=-4, max =0, step=0.2, description='Divergence') + az_s = widgets.FloatSlider(value=new_array.pointing["az"].value, min=0, max=360, step=0.01, description='Azumith [deg]') + alt_s = widgets.FloatSlider(value=new_array.pointing["alt"].value, min=0, max=90, step=0.01, description='Altitude [deg]') + + ui = widgets.HBox([div_s, alt_s, az_s]) + out = widgets.interactive_output(update, {'div': div_s, 'az': az_s, 'alt': alt_s}) + display(ui, out) + + return new_array \ No newline at end of file diff --git a/ctadiv/__init__.py b/ctadiv/__init__.py new file mode 100644 index 0000000..f29be69 --- /dev/null +++ b/ctadiv/__init__.py @@ -0,0 +1,17 @@ +import numpy as np +import matplotlib.pyplot as plt + +import astropy.units as u + +from .const import * + +from .cta import CTA_Info + +from .ArrayConfig import LoadConfig + +from astropy.visualization import astropy_mpl_style, quantity_support +plt.style.use(astropy_mpl_style) + +quantity_support() + +__version__ = 0.1 \ No newline at end of file diff --git a/ctadiv/const.py b/ctadiv/const.py new file mode 100644 index 0000000..a355ae0 --- /dev/null +++ b/ctadiv/const.py @@ -0,0 +1,7 @@ +from pathlib import Path +import matplotlib.pyplot as plt + +SCRIPT_DIR = str(Path(__file__).parent.absolute()) +CONFIG_DIR = str(Path(__file__).parent.absolute())+"/config/" + +COLORS = plt.get_cmap("tab10") \ No newline at end of file diff --git a/ctadiv/cta.py b/ctadiv/cta.py new file mode 100644 index 0000000..87c3b07 --- /dev/null +++ b/ctadiv/cta.py @@ -0,0 +1,346 @@ +import numpy as np +import matplotlib.pyplot as plt + +from astropy.coordinates import SkyCoord, EarthLocation, AltAz, ICRS +from astropy.time import Time +from astroplan import Observer + +import astropy.units as u + +from astropy.coordinates import get_moon +from astropy.coordinates import get_sun + + +class CTA_Info: + + """ + CTA frame based on its location and a given observation time. + + Parameters + ---------- + site: str, optional + CTA location; North (default), South, Roque de los Muchachos, or Paranal. + time: str, optional + Observation time (yyyy-MM-ddThh:mm:ss). Default is astropy.time.Time.now() + verbose: bool, optional + + Returns + ------- + class + """ + + def __init__(self, site="North", time = None, verbose=True): + + if time is None: + time = Time.now() + + self._site = site + self.site_def(site) + self._observer = Observer(location=self.loc, name=self.name) + self._t_obs = Time(time, format='isot', scale='utc') + self._source = None + self._timestep = np.linspace(-12, 12, 100)*u.hour + if verbose: + self.info + + @property + def info(self): + """ + Print information + """ + print("Observer : ", self.observer.name) + print("Location : ", self.site, ",", self.loc.to(u.km)) + print("Observation time : ", self.t_obs) + + @property + def loc(self): + """ + Coordinates of observatory + + Returns + ------- + astropy.coordinates.EarthLocation.from_geodetic + """ + + if self.site.lower() in ('north', 'roque de los muchachos'): + site_coords = EarthLocation.from_geodetic('342.1184', '28.7606', 2326. * u.meter) + elif self.site.lower() in ('south', 'paranal'): + site_coords = EarthLocation.from_geodetic('289.5972', '-24.6253', 2635. * u.meter) + else: + raise Warning(f"{site} is not a valid site choice") + return site_coords + + @property + def t_obs(self): + """ + Observation time + + Returns + ------- + astropy.time + """ + return self._t_obs + + @property + def observer(self): + """ + A container class for information about an observer’s location and environment. + + Returns + ------- + astroplan.Observer + """ + return self._observer + + @property + def altaz(self): + """ + An AltAz frame based on the observation time and location. + + Returns + ------- + astropy.astropy.coordinates.AltAz + """ + return AltAz(obstime=self.t_obs, location=self.loc) + + @property + def site(self): + """ + The location of observatory; Roque de los Muchachos or Paranal + + Returns + ------- + str + """ + return self._site + + @property + def name(self): + """ + The name of observatory; CTA North or CTA South + + Returns + ------- + str + """ + return self._name + + @property + def source(self): + """ + Return the sky coordinate of a source, which is defined by + CTA_Info.set_source_loc. + + Returns + ------- + astropy.coordinates.SkyCoord + """ + return self._source + + def _time_bin(self, timestep): + """ + Return an array of time, t_obs+timestep. + + Parameters + ---------- + timestep: array, astropy.Quantity + If timestep does not have an unit, it is assumed to be hour. + default: np.linspace(-12, 12, 100)*u.hour + """ + if timestep is not None: + if type(timestep) != u.Quantity: + print("[Warning] The unit of timestep is assumed to be 'hour'.") + self._timestep = timestep*u.hour + else: + self._timestep = timestep + + time = self.t_obs+self._timestep + return time + + def site_def(self, site): + """ + Define a site of observatory. + + Parameters + ---------- + site: str + CTA location; North (default), South, Roque de los Muchachos, or Paranal. + """ + if self.site.lower() in ('north', 'roque de los muchachos'): + self._site = "Roque de los Muchachos" + self._name = "CTA North" + elif self.site.lower() in ('south', 'paranal'): + self._site = "Paranal" + self._name = "CTA South" + else: + raise Warning(f"{site} is not a valid site choice") + + def get_sun_loc(self, timespan=False, timestep=None): + """ + Return Sun location given time and location. + + Parameters + ---------- + timespan: bool, optional + If True, it returns the location of Moon as a function of time + timestep: array, astropy.Quantity, optional + When timespan is True, timestep can be optioanlly used. + See CTA_Info._time_bin + + Returns + ------- + astropy.coordinates.get_sun + """ + + if timespan: + time = self._time_bin(timestep) + else: + time = self.t_obs + + frame = AltAz(obstime=time, location=self.loc) + return get_sun(time).transform_to(frame) + + def get_moon_loc(self, timespan=False, timestep=None): + """ + Return Moon location given time and location. + + Parameters + ---------- + timespan: bool, optional + If True, it returns the location of Moon as a function of time + timestep: array, astropy.Quantity, optional + When timespan is True, timestep can be optioanlly used. + See CTA_Info._time_bin + + Returns + ------- + astropy.coordinates.get_moon + """ + if timespan: + time = self._time_bin(timestep) + else: + time = self.t_obs + + frame = AltAz(obstime=time, location=self.loc) + return get_moon(time).transform_to(frame) + + def set_source_loc(self, ra, dec, timespan=False, timestep=None, units='deg'): + """ + Set a source location with a given frame. + + Parameters + ---------- + ra: float + Right ascension of a source + dec: float + Declination of a source + units: str + Units of RA and DEC; either deg (default) or rad + timespan: bool, optional + If True, it returns the location of Moon as a function of time + timestep: array, astropy.Quantity, optional + When timespan is True, timestep can be optioanlly used. + See CTA_Info._time_bin + Returns + ------- + astropy.coordinates.SkyCoord + """ + + source_radec = SkyCoord(ra=ra, dec=dec, frame=ICRS, unit=units) + + if timespan: + time = self._time_bin(timestep) + frame = AltAz(obstime=time, location=self.loc) + src = source_radec.transform_to(frame) + else: + src = source_radec.transform_to(self.altaz) + self._source = src + + return src + + def update(self, site=None, time=None, delta_t=None, verbose=False): + """ + Update site and/or observation time. + + Parameters + ---------- + site: str, optional + Updated site name + time: str, optional + Updated observation time (yyyy-MM-ddThh:mm:ss) + delta_t: astropy.Quantity, optional + Elapsed time from the original observation time. + e.g., CTA_Info.update(delta_t= -0.5*u.hour) + -> t_new = t_old - 0.5 hour + verbose: optional + """ + if site is not None: + self._site = site + self.site_def(site) + self._observer = Observer(location=self.loc, name=self.name) + + elif time is not None: + self._t_obs = Time(time, format='isot', scale='utc') + + elif delta_t is not None: + if type(delta_t) != u.Quantity: + print("[Warning] The units of delta_t is assumed to be 'hour'.") + delta_t = delta_t*u.hour + + self._t_obs = Time(self.t_obs+delta_t, format='isot', scale='utc') + + if verbose: + self.info + + def navigation_plot(self, timestep = None, **kwargs): + """ + Navigation plot, which shows azimuth angles of Sun, Moon, and a source as a function of time. + + Parameters + ---------- + timestep: array, astropy.Quantity, optional + When timespan is True, timestep can be optioanlly used. + See CTA_Info._time_bin + kwargs: dict, optional + args for either `CTA_Info.set_source_loc` or `pyplot.scatter`. + """ + if timestep is not None: + if type(timestep) != u.Quantity: + print("[Warning] The unit of timestep is assumed to be 'hour'.") + self._timestep = timestep*u.hour + else: + self._timestep = timestep + + sun = self.get_sun_loc(timespan=True) + moon = self.get_moon_loc(timespan=True) + plt.plot(self._timestep, sun.alt, color='r', label='Sun') + plt.plot(self._timestep, moon.alt, color=[0.75]*3, ls='--', label='Moon') + + ra = kwargs.pop("ra", None) + dec = kwargs.pop("dec", None) + units = kwargs.pop("units", "deg") + if (ra is not None) and (dec is not None): + src = self.set_source_loc(ra=ra, dec=dec, timespan=True, units=units) + else: + src = self.set_source_loc(ra=self.source.icrs.ra, dec=self.source.icrs.dec, + timespan=True, units=units) + + plt.plot(self._timestep, src.alt, lw=0.5, alpha=0.5, color="orange") + plt.scatter(self._timestep, src.alt, + c= src.az, s=8, + cmap='viridis',**kwargs) + + plt.fill_between(self._timestep, 0, 90*u.deg, + sun.alt < -0*u.deg, color='0.5', zorder=0) + plt.fill_between(self._timestep, 0*u.deg, 90*u.deg, + sun.alt < -18*u.deg, color='k', zorder=0) + + plt.colorbar().set_label('Azimuth [deg]') + plt.legend(loc='upper left') + plt.xlim(-12*u.hour, 12*u.hour) + plt.xticks((np.arange(13)*2-12)*u.hour) + plt.ylim(0*u.deg, 90*u.deg) + plt.xlabel('Hours from EDT Midnight') + plt.ylabel('Altitude [deg]') + plt.show(block=False) + return plt diff --git a/divtel/North_layout_test2.ipynb b/divtel/North_layout_test2.ipynb deleted file mode 100644 index 082b1c8..0000000 --- a/divtel/North_layout_test2.ipynb +++ /dev/null @@ -1,544 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "pycharm": { - "name": "#%%\n" - } - }, - "outputs": [], - "source": [ - "import astropy.units as u\n", - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "import matplotlib as mpl\n", - "from divtel.telescope import Telescope, Array" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "pycharm": { - "name": "#%%\n" - } - }, - "outputs": [], - "source": [ - "#La Palma baseline array\n", - "file = open(\"/Users/alicedonini/Lavoro/Divergent/Divergent-Pointing/layout-3AL4M15-5.txt\", \"r\")\n", - "#array = Array()\n", - "tels = []\n", - "for line in file: \n", - " #split the string on whitespace, return a list of numbers as strings\n", - " coord_str = line.split()\n", - " coord_str[0], coord_str[1], coord_str[2] = float(coord_str[0]), float(coord_str[1]), float(coord_str[2]) \n", - " coord = [x*u.m for x in coord_str]\n", - " #print(coord_float)\n", - " tel = Telescope(coord[0],coord[1],coord[2],coord[3],coord[4])\n", - " tels.append(tel)\n", - " \n", - "array = Array(tels)\n", - "\n", - "for tel in array.telescopes:\n", - " #print(tel.fov)\n", - " print(tel.id)\n", - " #print(tel.position)\n", - " #print(tel.camera_radius)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "pycharm": { - "name": "#%%\n" - } - }, - "outputs": [], - "source": [ - "#Define where you want to point (ex. source in the simulation)\n", - "az = 180 * u.deg\n", - "alt = 70 * u.deg\n", - "#Define divergence\n", - "div=0.005\n", - "\n", - "#Divergent part\n", - "np.array(array.divergent_pointing(div, alt, az))\n", - "tels_alt = np.array([tel.alt.value for tel in array.telescopes])\n", - "tels_az = np.array([tel.az.value for tel in array.telescopes])\n", - "print(\"Az: \", np.degrees(tels_az))\n", - "print(\"Alt: \", np.degrees(tels_alt))\n", - "#print(\"barycenter: \", array.barycenter)\n", - "\n", - "#Add 360deg to negative Az value\n", - "#THIS CAN BE ELIMINATED NOW...we should check with the simulations\n", - "for k, i in enumerate(tels_az):\n", - " #print(i)\n", - " if i < 0:\n", - " az_new = i + np.radians(360)\n", - " else:\n", - " az_new = i\n", - " tels_az[k] = az_new\n", - "print(tels_az)\n", - "print(\"Az: \", np.degrees(tels_az))\n", - "\n", - "telescopes_distances = np.sqrt(np.sum((array.positions_array - array.barycenter)**2, axis=1))\n", - "p = np.average(array.pointing_vectors, weights=telescopes_distances, axis=0)\n", - "print(np.degrees(p))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "pycharm": { - "name": "#%%\n" - } - }, - "outputs": [], - "source": [ - "#array layout plot\n", - "plt.scatter(array.positions_array[:,0], array.positions_array[:,1])\n", - "plt.axis('equal')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "pycharm": { - "name": "#%%\n" - } - }, - "outputs": [], - "source": [ - "#2D display\n", - "ax = array.display_2d(projection='xy')\n", - "ax.legend()\n", - "plt.axis('equal')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "pycharm": { - "name": "#%%\n" - } - }, - "outputs": [], - "source": [ - "#3D display\n", - "ax = array.display_3d()\n", - "fig = ax.scatter(array.barycenter[0], array.barycenter[1], array.barycenter[2])\n", - "#plt.savefig(\"3d_0.png\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "pycharm": { - "name": "#%%\n" - } - }, - "outputs": [], - "source": [ - "#tel dictionary with div pointing\n", - "tels_dict = {}\n", - "point_az_dict = {}\n", - "point_alt_dict = {}\n", - "\n", - "for tel_id, tel in enumerate(array.telescopes, 1):\n", - " #tels_dict[ii] = {'THETA': 90-np.rad2deg(tel.alt.value),\n", - " # 'PHI': np.rad2deg(np.mod(tel.az.value, 2*np.pi))}\n", - " tels_dict[tel_id] = {'az': tel.az,\n", - " 'alt': tel.alt}\n", - " point_az_dict[tel_id] = tel.az.value * u.rad\n", - " point_alt_dict[tel_id] = tel.alt.value * u.rad" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "pycharm": { - "name": "#%%\n" - } - }, - "outputs": [], - "source": [ - "from astropy.coordinates import SkyCoord, EarthLocation, AltAz, ICRS\n", - "from astropy.time import Time\n", - "\n", - "#print(tels_az)\n", - "\n", - "location = EarthLocation.of_site('Roque de los Muchachos')\n", - "obstime = Time('2013-11-01T03:00')\n", - "altaz = AltAz(location=location, obstime=obstime)\n", - "\n", - "#Define pointing as a SkyCoord object\n", - "tels_pointing = SkyCoord(alt=tels_alt,az=tels_az, frame=altaz, unit='rad')\n", - "#print(tels_pointing)\n", - "\n", - "array_pointing = SkyCoord(alt=70, az=180, frame=altaz, unit='deg')\n", - "#print(array_pointing)\n", - "\n", - "icrs_point = tels_pointing.transform_to(ICRS())\n", - "#print(tels_pointing.transform_to(ICRS()))\n", - "\n", - "#gal_point = tels_pointing.galactic\n", - "#print(fk5_point)\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "pycharm": { - "name": "#%%\n" - } - }, - "outputs": [], - "source": [ - "#WORKING\n", - "import mpl_toolkits.axisartist.angle_helper as angle_helper\n", - "from mpl_toolkits.axisartist import Subplot\n", - "from mpl_toolkits.axisartist import SubplotHost, ParasiteAxesAuxTrans\n", - "from mpl_toolkits.axisartist.grid_helper_curvelinear import GridHelperCurveLinear\n", - "from matplotlib.projections import PolarAxes\n", - "from matplotlib.transforms import Affine2D\n", - "from astropy.visualization.wcsaxes import SphericalCircle\n", - "\n", - "# PolarAxes.PolarTransform takes radian. However, we want our coordinate\n", - "# system in degree\n", - "tr = Affine2D().scale(np.pi/180., 1.).translate(+np.pi/2.,0) + PolarAxes.PolarTransform()\n", - "\n", - "# polar projection, which involves cycle, and also has limits in\n", - "# its coordinates, needs a special method to find the extremes\n", - "# (min, max of the coordinate within the view).\n", - "\n", - "# 20, 20 : number of sampling points along x, y direction\n", - "n = 20\n", - "extreme_finder = angle_helper.ExtremeFinderCycle(10, 10,\n", - " lon_cycle=360,\n", - " lat_cycle=None,\n", - " lon_minmax=None,\n", - " lat_minmax=(-90, 90),\n", - " )\n", - "\n", - "grid_locator1 = angle_helper.LocatorDMS(12)\n", - "# Find a grid values appropriate for the coordinate (degree,\n", - "# minute, second).\n", - "\n", - "tick_formatter1 = angle_helper.FormatterDMS()\n", - "# And also uses an appropriate formatter. Note that,the\n", - "# acceptable Locator and Formatter class is a bit different than\n", - "# that of mpl's, and you cannot directly use mpl's Locator and\n", - "# Formatter here (but may be possible in the future).\n", - "\n", - "grid_helper = GridHelperCurveLinear(tr,\n", - " extreme_finder=extreme_finder,\n", - " grid_locator1=grid_locator1,\n", - " tick_formatter1=tick_formatter1\n", - " )\n", - "\n", - "fig = plt.figure(figsize=(12,10))\n", - "fig.clf()\n", - "ax1 = SubplotHost(fig, 1, 1, 1, grid_helper=grid_helper)\n", - "\n", - "# make ticklabels of right and top axis visible.\n", - "ax1.axis[\"right\"].major_ticklabels.set_visible(False)\n", - "ax1.axis[\"top\"].major_ticklabels.set_visible(False)\n", - "ax1.axis[\"bottom\"].major_ticklabels.set_visible(True)\n", - "\n", - "# let right axis shows ticklabels for 1st coordinate (angle)\n", - "#ax1.axis[\"right\"].get_helper().nth_coord_ticks = 0\n", - "# let bottom axis shows ticklabels for 2nd coordinate (radius)\n", - "#ax1.axis[\"bottom\"].get_helper().nth_coord_ticks = 1\n", - "\n", - "fig.add_subplot(ax1)\n", - "# A parasite axes with given transform\n", - "ax2 = ParasiteAxesAuxTrans(ax1, tr, \"equal\")\n", - "# note that ax2.transData == tr + ax1.transData\n", - "# Anything you draw in ax2 will match the ticks and grids of ax1.\n", - "ax1.parasites.append(ax2)\n", - "\n", - "for i, tel in enumerate(array.telescopes, 1):\n", - " tel_alt = tel.alt\n", - " tel_az = tel.az\n", - " tels_points = SkyCoord(alt=tel.alt.value,az=tel.az.value, frame=altaz, unit='rad')\n", - " x = tels_points.az.degree\n", - " y = tels_points.alt.degree\n", - " #print(x)\n", - " if i <= 4:\n", - " r = SphericalCircle((x * u.deg, y * u.deg), tel.camera_radius * u.degree, color='black', alpha=0.5, transform=ax2.transData)\n", - " else:\n", - " r = SphericalCircle((x * u.deg, y * u.deg), tel.camera_radius * u.degree, color='r', alpha=0.1, transform=ax2.transData)\n", - " ax1.add_patch(r)\n", - " ax2.annotate(i, (x, y), fontsize=12, xytext=(4, 4), textcoords='offset pixels', zorder=10)\n", - " ax1.scatter(x, y, c = \"black\", s=20, transform=ax2.transData, zorder=10)\n", - "\n", - "ax1.set_xlim(-26,26)\n", - "ax1.set_ylim(-80, -60)\n", - "#ax1.set_xlim(-181, 181)\n", - "#ax1.set_ylim(-91, 91)\n", - "ax1.set_aspect(1.)\n", - "\n", - "ax1.grid(True)\n", - "ax1.set_xlabel(\"Azimuth [deg]\", fontsize=20)\n", - "ax1.set_ylabel(\"Zenith [deg]\", fontsize=20)\n", - "\n", - "\n", - "#plt.savefig(\"skymap_div{}.png\".format(div))\n", - "plt.show()\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "pycharm": { - "name": "#%%\n" - } - }, - "outputs": [], - "source": [ - "#SKYMAP\n", - "from astroplan.plots import plot_sky\n", - "from astroplan import FixedTarget\n", - "from astroplan import Observer\n", - "\n", - "for ii, tel in enumerate(icrs_point, 1):\n", - " #print(tel.ra)\n", - " point = SkyCoord(ra=tel.ra, dec=tel.dec)\n", - " target = FixedTarget(coord=point, name=ii)\n", - " #print(target.coord)\n", - " location = EarthLocation.of_site('Roque de los Muchachos')\n", - " observer = Observer(location=location, name=\"Roque\")\n", - " observe_time = Time('2013-11-01T03:00')\n", - " plot_sky(target, observer, observe_time)\n", - "\n", - "plt.legend(loc='center left', bbox_to_anchor=(1.25, 0.5))\n", - "#plt.savefig(\"astroplan_skymap_div{}.png\".format(div))\n", - "\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "pycharm": { - "name": "#%%\n" - } - }, - "outputs": [], - "source": [ - "from descartes import PolygonPatch\n", - "from shapely.ops import unary_union, polygonize\n", - "from shapely.geometry import mapping, Polygon, Point, LineString\n", - "\n", - "polygons = {}\n", - "for ii, tel in enumerate(array.telescopes, 1):\n", - " #if ii < 5: #LST only\n", - " #if ii > 4: #MST only\n", - " if ii > 0: #all\n", - " tel_alt = tel.alt\n", - " tel_az = tel.az\n", - " tels_points = SkyCoord(alt=tel.alt.value,az=tel.az.value, frame=altaz, unit='rad')\n", - " polygons[ii-1] = Point(tels_points.az.degree, 90-tels_points.alt.degree).buffer(tel.camera_radius)\n", - "\n", - "#for ii, tel in enumerate(tels_pointing, 1):\n", - " #polygons[ii-1] = Point(tel.az.degree, 90-tel.alt.degree).buffer(7.7/2)\n", - "#print(polygons)\n", - "\n", - "xrange = [168, 192]\n", - "yrange = [13, 28]\n", - "\n", - "rings = [LineString(list(pol.exterior.coords)) for pol in polygons.values()]\n", - "union = unary_union(rings)\n", - "result = {counter:geom for counter, geom in enumerate(polygonize(union))}\n", - "\n", - "ori = list(polygons.values())\n", - "res = list(result.values())\n", - "\n", - "dict_count_overlaps = {}\n", - "for i in range(len(res)):\n", - " dict_count_overlaps[i] = 0\n", - " for j in range(len(ori)):\n", - " if np.isclose(res[i].difference(ori[j]).area, 0):\n", - " dict_count_overlaps[i] +=1\n", - " #print(f\"res_{colors[i]}, orig_{j+1}\")\n", - "\n", - "\n", - "max_multiplicity = max(dict_count_overlaps.values())\n", - "#print(max_multiplicity)\n", - "\n", - "cmap = plt.cm.get_cmap('rainbow')\n", - "color_list = cmap(np.linspace(0, 1, max_multiplicity))\n", - "bounds = np.arange(max_multiplicity + 1) + 1\n", - "\n", - "fig = plt.figure()\n", - "gs = mpl.gridspec.GridSpec(1, 2, width_ratios=[0.95, 0.05])\n", - "\n", - "ax = plt.subplot(gs[0])\n", - "ax_cb = plt.subplot(gs[1])\n", - "\n", - "fig.subplots_adjust(top=0.85)\n", - "\n", - "for pol_id, pol in result.items():\n", - " colore = dict_count_overlaps[pol_id]\n", - " ax.add_patch(\n", - " PolygonPatch(mapping(pol), color=color_list[colore-1])\n", - " )\n", - "\n", - "norm = mpl.colors.BoundaryNorm(bounds, cmap.N)\n", - "\n", - "cb1 = mpl.colorbar.ColorbarBase(ax_cb,\n", - " norm=norm,\n", - " cmap=cmap,\n", - " boundaries = bounds,\n", - " orientation='vertical',\n", - " label='Multiplicity')\n", - "cb1.set_ticks(np.arange(max_multiplicity + 1) + 0.5)\n", - "cb1.set_ticklabels(np.arange(max_multiplicity + 1) + 1)\n", - "\n", - "ax.set_xlabel(\"Azimuth [deg]\")\n", - "ax.set_ylabel(\"Altitude [deg]\")\n", - "ax.set_xlim(*xrange)\n", - "ax.set_ylim(*yrange)\n", - "ax.set_aspect(1)\n", - "#plt.savefig(\"multiplicity_plot_all_div{}.png\".format(div))\n", - "#plt.savefig(\"multiplicity_plot_MST_div{}.png\".format(div))\n", - "#plt.savefig(\"multiplicity_plot_LST_div{}.png\".format(div))\n", - "\n", - "plt.show()\n", - "\n", - "hfov = []\n", - "for patchsky in res:\n", - " hfov.append(patchsky.area)\n", - " #print(patchsky.area)\n", - "\n", - "hfov = np.array(hfov)\n", - "# multiplicity associated with each patch\n", - "overlaps = np.array(list(dict_count_overlaps.values()))\n", - "average_overlap = np.average(overlaps, weights=hfov)\n", - "variance = np.average((overlaps-average_overlap)**2, weights=hfov)\n", - "print(average_overlap, variance, np.sqrt(variance))\n", - "print(hfov.sum())\n", - "plt.figure()\n", - "plt.bar(list(set(overlaps)), [hfov[overlaps==i].sum() for i in set(overlaps)])\n", - "plt.ylabel('HFOV')\n", - "plt.xlabel('Multiplicity')\n", - "#plt.savefig(\"multiplicity_chart_all_div{}.png\".format(div))\n", - "#plt.savefig(\"multiplicity_chart_MST_div{}.png\".format(div))\n", - "#plt.savefig(\"multiplicity_chart_LST_div{}.png\".format(div))\n", - "\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "pycharm": { - "name": "#%%\n" - } - }, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "pycharm": { - "name": "#%%\n" - } - }, - "outputs": [], - "source": [ - "#create simtel cfg file\n", - "filename = 'CTA-ULTRA6-LaPalma-div{}.cfg'.format(div)\n", - "with open(filename, 'w') as f:\n", - " f.write(\"\"\"#ifndef TELESCOPE\n", - "# define TELESCOPE 0\n", - "#endif\\n\n", - "#if TELESCOPE == 0\\n\"\"\")\n", - " f.write(' TELESCOPE_THETA={:.2f} \\n'.format(90 - array_pointing.alt.value))\n", - " f.write(' TELESCOPE_PHI={:.2f} \\n'.format(array_pointing.az.value))\n", - " f.write(\"\"\"\\n% Global and default configuration for things missing in telescope-specific config.\n", - "# include \\n\"\"\")\n", - " for n, tel in enumerate(tels_pointing, 1):\n", - " zd = 90 - tel.alt.value\n", - " f.write('\\n#elif TELESCOPE == {:d}\\n'.format(n))\n", - " if n <= 4:\n", - " f.write('# include \\n')\n", - " else:\n", - " f.write('# include \\n')\n", - " f.write(' TELESCOPE_THETA={:.2f}\\n'.format(zd))\n", - " f.write(' TELESCOPE_PHI={:.2f}\\n'.format(tel.az.value))\n", - " f.write(\"\"\"\n", - "#else\\n\n", - " Error Invalid telescope for CTA-ULTRA6 La Palma configuration.\\n\n", - "#endif\\n\n", - "trigger_telescopes = 2 % In contrast to Prod-3 South we apply loose stereo trigger immediately\n", - "array_trigger = array_trigger_ultra6_diver-test.dat\"\"\")\n", - "f.close()\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "pycharm": { - "name": "#%%\n" - } - }, - "outputs": [], - "source": [ - "#check cfg file\n", - "with open(filename, 'r') as f:\n", - " print(f.read())" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "pycharm": { - "name": "#%%\n" - } - }, - "outputs": [], - "source": [ - "\n" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.6.7" - } - }, - "nbformat": 4, - "nbformat_minor": 1 -} \ No newline at end of file diff --git a/divtel/Paranal_test2.ipynb b/divtel/Paranal_test2.ipynb deleted file mode 100644 index 1f5c0c7..0000000 --- a/divtel/Paranal_test2.ipynb +++ /dev/null @@ -1,526 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "pycharm": { - "name": "#%%\n" - } - }, - "outputs": [], - "source": [ - "import astropy.units as u\n", - "import numpy as np\n", - "import pandas as pd\n", - "import matplotlib.pyplot as plt\n", - "import matplotlib as mpl\n", - "from divtel.telescope import Telescope, Array" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "pycharm": { - "name": "#%%\n" - } - }, - "outputs": [], - "source": [ - "#Paranal baseline array\n", - "file = open(\"/Users/alicedonini/Lavoro/Divergent/Divergent-Pointing/layout_Paranal_HB9.lis\", \"r\")\n", - "#array = Array()\n", - "tels = []\n", - "for line in file:\n", - " #split the string on whitespace, return a list of numbers as strings\n", - " coord_str = line.split()\n", - " coord_str[0], coord_str[1], coord_str[2] = float(coord_str[0]), float(coord_str[1]), float(coord_str[2])\n", - " coord = [x*u.m for x in coord_str]\n", - " #print(coord_float)\n", - " tel = Telescope(coord[0],coord[1],coord[2],coord[3],coord[4])\n", - " tels.append(tel)\n", - "\n", - "array = Array(tels)\n", - "\n", - "for tel in array.telescopes:\n", - " #print(tel.fov)\n", - " print(tel.id)\n", - " #print(tel.position)\n", - " #print(tel.camera_radius)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "pycharm": { - "name": "#%%\n" - } - }, - "outputs": [], - "source": [ - "#Define where you want to point (ex. source in the simulation)\n", - "az = 180 * u.deg\n", - "alt = 70 * u.deg\n", - "#Define divergence\n", - "div=0.001\n", - "#Divergent part\n", - "np.array(array.divergent_pointing(div, alt, az))\n", - "tels_alt = np.array([tel.alt.value for tel in array.telescopes])\n", - "tels_az = np.array([tel.az.value for tel in array.telescopes])\n", - "print(\"Az: \", np.degrees(tels_az))\n", - "print(\"Alt: \", np.degrees(tels_alt))\n", - "#print(\"barycenter: \", array.barycenter)\n", - "\n", - "#Add 360deg to negative Az value\n", - "# for k, i in enumerate(tels_az):\n", - "# #print(i)\n", - "# if i < 0:\n", - "# az_new = i + np.radians(360)\n", - "# else:\n", - "# az_new = i\n", - "# tels_az[k] = az_new\n", - "# print(tels_az)\n", - "print(\"Az: \", np.degrees(tels_az))\n", - "\n", - "telescopes_distances = np.sqrt(np.sum((array.positions_array - array.barycenter)**2, axis=1))\n", - "p = np.average(array.pointing_vectors, weights=telescopes_distances, axis=0)\n", - "print(np.degrees(p))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "pycharm": { - "name": "#%%\n" - } - }, - "outputs": [], - "source": [ - "#array layout plot\n", - "plt.scatter(array.positions_array[:,0], array.positions_array[:,1])\n", - "plt.axis('equal')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "pycharm": { - "name": "#%%\n" - } - }, - "outputs": [], - "source": [ - "#2D display\n", - "ax = array.display_2d(projection='xy')\n", - "ax.legend()\n", - "plt.axis('equal')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "pycharm": { - "name": "#%%\n" - } - }, - "outputs": [], - "source": [ - "#3D display\n", - "ax = array.display_3d()\n", - "fig = ax.scatter(array.barycenter[0], array.barycenter[1], array.barycenter[2])\n", - "#plt.savefig(\"3d_0.png\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "pycharm": { - "name": "#%%\n" - } - }, - "outputs": [], - "source": [ - "#tel dictionary with div pointing\n", - "tels_dict = {}\n", - "point_az_dict = {}\n", - "point_alt_dict = {}\n", - "\n", - "for tel_id, tel in enumerate(array.telescopes, 1):\n", - " #tels_dict[ii] = {'THETA': 90-np.rad2deg(tel.alt.value),\n", - " # 'PHI': np.rad2deg(np.mod(tel.az.value, 2*np.pi))}\n", - " tels_dict[tel_id] = {'az': tel.az,\n", - " 'alt': tel.alt}\n", - " point_az_dict[tel_id] = tel.az.value * u.rad\n", - " point_alt_dict[tel_id] = tel.alt.value * u.rad" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "pycharm": { - "name": "#%%\n" - } - }, - "outputs": [], - "source": [ - "from astropy.coordinates import SkyCoord, EarthLocation, AltAz, ICRS\n", - "from astropy.time import Time\n", - "\n", - "#print(tels_az)\n", - "\n", - "location = EarthLocation.of_site('Roque de los Muchachos')\n", - "obstime = Time('2013-11-01T03:00')\n", - "altaz = AltAz(location=location, obstime=obstime)\n", - "\n", - "#Define pointing as a SkyCoord object\n", - "#tels_pointing = {}\n", - "#for tel_id, tel in enumerate(array.telescopes, 1):\n", - "# tels_pointing[tel_id] = SkyCoord(alt=tel.alt,az=tel.az, frame=AltAz())\n", - "#print(tels_pointing)\n", - "\n", - "tels_pointing = SkyCoord(alt=tels_alt,az=tels_az, frame=altaz, unit='rad')\n", - "#print(tels_pointing)\n", - "\n", - "array_pointing = SkyCoord(alt=70, az=180, frame=altaz, unit='deg')\n", - "#print(array_pointing)\n", - "\n", - "icrs_point = tels_pointing.transform_to(ICRS())\n", - "print(tels_pointing.transform_to(ICRS()))\n", - "\n", - "gal_point = tels_pointing.galactic\n", - "#print(fk5_point)\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "pycharm": { - "name": "#%%\n" - } - }, - "outputs": [], - "source": [ - "#WORKING\n", - "import mpl_toolkits.axisartist.angle_helper as angle_helper\n", - "from mpl_toolkits.axisartist import Subplot\n", - "from mpl_toolkits.axisartist import SubplotHost, ParasiteAxesAuxTrans\n", - "from mpl_toolkits.axisartist.grid_helper_curvelinear import GridHelperCurveLinear\n", - "from matplotlib.projections import PolarAxes\n", - "from matplotlib.transforms import Affine2D\n", - "from astropy.visualization.wcsaxes import SphericalCircle\n", - "\n", - "# PolarAxes.PolarTransform takes radian. However, we want our coordinate\n", - "# system in degree\n", - "tr = Affine2D().scale(np.pi/180., 1.).translate(+np.pi/2.,0) + PolarAxes.PolarTransform()\n", - "\n", - "# polar projection, which involves cycle, and also has limits in\n", - "# its coordinates, needs a special method to find the extremes\n", - "# (min, max of the coordinate within the view).\n", - "\n", - "# 20, 20 : number of sampling points along x, y direction\n", - "n = 20\n", - "extreme_finder = angle_helper.ExtremeFinderCycle(10, 10,\n", - " lon_cycle=360,\n", - " lat_cycle=None,\n", - " lon_minmax=None,\n", - " lat_minmax=(-90, 90),\n", - " )\n", - "\n", - "grid_locator1 = angle_helper.LocatorDMS(12)\n", - "# Find a grid values appropriate for the coordinate (degree,\n", - "# minute, second).\n", - "\n", - "tick_formatter1 = angle_helper.FormatterDMS()\n", - "# And also uses an appropriate formatter. Note that,the\n", - "# acceptable Locator and Formatter class is a bit different than\n", - "# that of mpl's, and you cannot directly use mpl's Locator and\n", - "# Formatter here (but may be possible in the future).\n", - "\n", - "grid_helper = GridHelperCurveLinear(tr,\n", - " extreme_finder=extreme_finder,\n", - " grid_locator1=grid_locator1,\n", - " tick_formatter1=tick_formatter1\n", - " )\n", - "\n", - "fig = plt.figure(figsize=(12,10))\n", - "fig.clf()\n", - "ax1 = SubplotHost(fig, 1, 1, 1, grid_helper=grid_helper)\n", - "\n", - "# make ticklabels of right and top axis visible.\n", - "ax1.axis[\"right\"].major_ticklabels.set_visible(False)\n", - "ax1.axis[\"top\"].major_ticklabels.set_visible(False)\n", - "ax1.axis[\"bottom\"].major_ticklabels.set_visible(True)\n", - "\n", - "# let right axis shows ticklabels for 1st coordinate (angle)\n", - "#ax1.axis[\"right\"].get_helper().nth_coord_ticks = 0\n", - "# let bottom axis shows ticklabels for 2nd coordinate (radius)\n", - "#ax1.axis[\"bottom\"].get_helper().nth_coord_ticks = 1\n", - "\n", - "fig.add_subplot(ax1)\n", - "# A parasite axes with given transform\n", - "ax2 = ParasiteAxesAuxTrans(ax1, tr, \"equal\")\n", - "# note that ax2.transData == tr + ax1.transData\n", - "# Anything you draw in ax2 will match the ticks and grids of ax1.\n", - "ax1.parasites.append(ax2)\n", - "\n", - "for i, tel in enumerate(array.telescopes, 1):\n", - " tel_alt = tel.alt\n", - " tel_az = tel.az\n", - " tels_points = SkyCoord(alt=tel.alt.value,az=tel.az.value, frame=altaz, unit='rad')\n", - " x = tels_points.az.degree\n", - " y = tels_points.alt.degree\n", - " #print(x)\n", - " if (i <= 4):\n", - " r = SphericalCircle((x * u.deg, y * u.deg), tel.camera_radius * u.degree, color='black', alpha=0.2, transform=ax2.transData)\n", - " elif (i>= 30):\n", - " r = SphericalCircle((x * u.deg, y * u.deg), tel.camera_radius * u.degree, color='lightblue', alpha=0.3, transform=ax2.transData)\n", - " else:\n", - " r = SphericalCircle((x * u.deg, y * u.deg), tel.camera_radius * u.degree, color='r', alpha=0.4, transform=ax2.transData)\n", - "#for i, tel in enumerate(tels_pointing, 1):\n", - " #x = tel.az.degree\n", - " #print(x)\n", - " #y = tel.alt.degree\n", - " #r = plt.Circle((x,y), 2, facecolor=\"red\")\n", - " #r = SphericalCircle((x * u.deg, y * u.deg), 7.7/2 * u.degree, color='r', alpha=0.1, transform=ax2.transData)\n", - " #TODO!!!!! insert right value of radius of the field of view\n", - " ax1.add_patch(r)\n", - " ax2.annotate(i, (x, y), fontsize=12, xytext=(4, 4), textcoords='offset pixels', zorder=10)\n", - " ax1.scatter(x, y, c = \"black\", s=20, transform=ax2.transData, zorder=10)\n", - "\n", - "#ax1.set_xlim(-26,26)\n", - "#ax1.set_ylim(-80, -60)\n", - "#ax1.set_xlim(-181, 181)\n", - "#ax1.set_ylim(-91, 91)\n", - "ax1.set_aspect(1.)\n", - "\n", - "ax1.grid(True)\n", - "ax1.set_xlabel(\"Azimuth [deg]\", fontsize=20)\n", - "ax1.set_ylabel(\"Zenith [deg]\", fontsize=20)\n", - "\n", - "\n", - "plt.savefig(\"Paranal_skymap_div{}.png\".format(div))\n", - "plt.show()\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "pycharm": { - "name": "#%%\n" - } - }, - "outputs": [], - "source": [ - "#SKYMAP\n", - "from astroplan.plots import plot_sky\n", - "from astroplan import FixedTarget\n", - "from astroplan import Observer\n", - "\n", - "for ii, tel in enumerate(icrs_point, 1):\n", - " #print(tel.ra)\n", - " point = SkyCoord(ra=tel.ra, dec=tel.dec)\n", - " target = FixedTarget(coord=point, name=ii)\n", - " #print(target.coord)\n", - " location = EarthLocation.of_site('Roque de los Muchachos')\n", - " observer = Observer(location=location, name=\"Roque\")\n", - " observe_time = Time('2013-11-01T03:00')\n", - " plot_sky(target, observer, observe_time)\n", - "\n", - "plt.legend(loc='center left', bbox_to_anchor=(1.25, 0.5))\n", - "plt.savefig(\"Paranal_astroplan_skymap_div{}.png\".format(div))\n", - "\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "pycharm": { - "name": "#%%\n" - } - }, - "outputs": [], - "source": [ - "from descartes import PolygonPatch\n", - "from shapely.ops import unary_union, polygonize\n", - "from shapely.geometry import mapping, Polygon, Point, LineString\n", - "\n", - "polygons = {}\n", - "for ii, tel in enumerate(array.telescopes, 1):\n", - " #if ii < 5: #LSTs only\n", - " #if (ii>= 30): #SSTs only\n", - " #if (4 < ii < 30): #MST only\n", - " tel_alt = tel.alt\n", - " tel_az = tel.az\n", - " tels_points = SkyCoord(alt=tel.alt.value,az=tel.az.value, frame=altaz, unit='rad')\n", - " polygons[ii-1] = Point(tels_points.az.degree, 90-tels_points.alt.degree).buffer(tel.camera_radius)\n", - "\n", - "#for ii, tel in enumerate(tels_pointing, 1):\n", - " #polygons[ii-1] = Point(tel.az.degree, 90-tel.alt.degree).buffer(7.7/2)\n", - "#print(polygons)\n", - "\n", - "xrange = [155, 205]\n", - "yrange = [8, 33]\n", - "\n", - "rings = [LineString(list(pol.exterior.coords)) for pol in polygons.values()]\n", - "union = unary_union(rings)\n", - "result = {counter:geom for counter, geom in enumerate(polygonize(union))}\n", - "\n", - "ori = list(polygons.values())\n", - "res = list(result.values())\n", - "\n", - "dict_count_overlaps = {}\n", - "for i in range(len(res)):\n", - " dict_count_overlaps[i] = 0\n", - " for j in range(len(ori)):\n", - " if np.isclose(res[i].difference(ori[j]).area, 0):\n", - " dict_count_overlaps[i] +=1\n", - " #print(f\"res_{colors[i]}, orig_{j+1}\")\n", - "\n", - "\n", - "max_multiplicity = max(dict_count_overlaps.values())\n", - "#print(max_multiplicity)\n", - "\n", - "cmap = plt.cm.get_cmap('rainbow')\n", - "color_list = cmap(np.linspace(0, 1, max_multiplicity))\n", - "bounds = np.arange(max_multiplicity + 1) + 1\n", - "\n", - "fig = plt.figure()\n", - "gs = mpl.gridspec.GridSpec(1, 2, width_ratios=[0.95, 0.05])\n", - "\n", - "ax = plt.subplot(gs[0])\n", - "ax_cb = plt.subplot(gs[1])\n", - "\n", - "fig.subplots_adjust(top=0.85)\n", - "\n", - "for pol_id, pol in result.items():\n", - " colore = dict_count_overlaps[pol_id]\n", - " ax.add_patch(\n", - " PolygonPatch(mapping(pol), color=color_list[colore-1])\n", - " )\n", - "\n", - "norm = mpl.colors.BoundaryNorm(bounds, cmap.N)\n", - "\n", - "cb1 = mpl.colorbar.ColorbarBase(ax_cb,\n", - " norm=norm,\n", - " cmap=cmap,\n", - " boundaries = bounds,\n", - " orientation='vertical',\n", - " label='Multiplicity')\n", - "cb1.set_ticks(np.arange(max_multiplicity + 1) + 0.5)\n", - "cb1.set_ticklabels(np.arange(max_multiplicity + 1) + 1)\n", - "\n", - "ax.set_xlabel(\"Azimuth [deg]\")\n", - "ax.set_ylabel(\"Altitude [deg]\")\n", - "ax.set_xlim(*xrange)\n", - "ax.set_ylim(*yrange)\n", - "ax.set_aspect(1)\n", - "plt.savefig(\"Paranal_multiplicity_plot_div{}.png\".format(div))\n", - "plt.show()\n", - "\n", - "hfov = []\n", - "for patchsky in res:\n", - " hfov.append(patchsky.area)\n", - " #print(patchsky.area)\n", - "\n", - "hfov = np.array(hfov)\n", - "# multiplicity associated with each patch\n", - "overlaps = np.array(list(dict_count_overlaps.values()))\n", - "average_overlap = np.average(overlaps, weights=hfov)\n", - "variance = np.average((overlaps-average_overlap)**2, weights=hfov)\n", - "print(average_overlap, variance, np.sqrt(variance))\n", - "print(hfov.sum())\n", - "plt.figure()\n", - "plt.bar(list(set(overlaps)), [hfov[overlaps==i].sum() for i in set(overlaps)])\n", - "plt.ylabel('HFOV')\n", - "plt.xlabel('Multiplicity')\n", - "#plt.savefig(\"multiplicity_chart_div{}.png\".format(div))\n", - "plt.show()\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "pycharm": { - "name": "#%%\n" - } - }, - "outputs": [], - "source": [ - "filename = 'CTA-ULTRA6-LaPalma-div{}.cfg'.format(div)\n", - "with open(filename, 'w') as f:\n", - " f.write(\"\"\"#ifndef TELESCOPE\n", - "# define TELESCOPE 0\n", - "#endif\\n\n", - "#if TELESCOPE == 0\\n\"\"\")\n", - " f.write(' TELESCOPE_THETA={:.2f} \\n'.format(90 - array_pointing.alt.value))\n", - " f.write(' TELESCOPE_PHI={:.2f} \\n'.format(array_pointing.az.value))\n", - " f.write(\"\"\"\\n% Global and default configuration for things missing in telescope-specific config.\n", - "# include \\n\"\"\")\n", - " for n, tel in enumerate(tels_pointing, 1):\n", - " zd = 90 - tel.alt.value\n", - " f.write('\\n#elif TELESCOPE == {:d}\\n'.format(n))\n", - " if n <= 4:\n", - " f.write('# include \\n')\n", - " else:\n", - " f.write('# include \\n')\n", - " f.write(' TELESCOPE_THETA={:.2f}\\n'.format(zd))\n", - " f.write(' TELESCOPE_PHI={:.2f}\\n'.format(tel.az.value))\n", - " f.write(\"\"\"\n", - "#else\\n\n", - " Error Invalid telescope for CTA-ULTRA6 La Palma configuration.\\n\n", - "#endif\\n\n", - "trigger_telescopes = 2 % In contrast to Prod-3 South we apply loose stereo trigger immediately\n", - "array_trigger = array_trigger_ultra6_diver-test.dat\"\"\")\n", - "f.close()\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "pycharm": { - "name": "#%%\n" - } - }, - "outputs": [], - "source": [ - "#check cfg file\n", - "with open(filename, 'r') as f:\n", - " print(f.read())" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.6.7" - } - }, - "nbformat": 4, - "nbformat_minor": 1 -} \ No newline at end of file diff --git a/divtel/README.md b/divtel/README.md deleted file mode 100644 index 39880c7..0000000 --- a/divtel/README.md +++ /dev/null @@ -1,2 +0,0 @@ -# Divergence Library - diff --git a/divtel/divtel/__init__.py b/divtel/divtel/__init__.py deleted file mode 100644 index e39c62f..0000000 --- a/divtel/divtel/__init__.py +++ /dev/null @@ -1,3 +0,0 @@ -from . import telescope, pointing - -__version__ = 0.1 \ No newline at end of file diff --git a/divtel/divtel/data/dummy_array.txt b/divtel/divtel/data/dummy_array.txt deleted file mode 100644 index 45b51ae..0000000 --- a/divtel/divtel/data/dummy_array.txt +++ /dev/null @@ -1,6 +0,0 @@ -# x, y, z, focal, camera_radius -0, 0, 0, 28, 1 -1, 0, 0, 28, 1 -0, 1, 0, 28, 1 --1, -1, 0, 28, 1 -1, 1, 0, 28, 1 \ No newline at end of file diff --git a/divtel/divtel/pointing.py b/divtel/divtel/pointing.py deleted file mode 100644 index 6e92e77..0000000 --- a/divtel/divtel/pointing.py +++ /dev/null @@ -1,88 +0,0 @@ -""" -Functions to define telescopes pointings -We use the same reference frame as simtel_array: -X is pointing North -Y is pointing West -Z is pointing upward -Az is taken clock-wise from X (towards Y) and between -180 and 180 degrees -Alt is taken from ground (towards Z) and between -90 and 90 degrees -""" - -import numpy as np -import astropy.units as u -# import matplotlib.pyplot as plt - - -def alt_az_to_vector(alt, az): - """ - Compute a pointing vector from an alt,az pointing direction - - Parameters - ---------- - alt: angle in rad - az: angle in rad - - Returns - ------- - np.array([x, y, z]) - """ - x = np.cos(alt.to(u.rad)) * np.cos(az.to(u.rad)) - y = -np.cos(alt.to(u.rad)) * np.sin(az.to(u.rad)) - z = np.sin(alt.to(u.rad)) - return np.array([x, y, z]) - -def _norm_div(div, scale=100): - """ - Transformation function from div parameter to norm to compute the position of G - - Parameters - ---------- - div: float - scale: float - telescope distance from barycenter at which div = divergence_angle/90deg - - Returns - ------- - float - """ - return scale/np.tan(np.arcsin(div)) - -def pointG_position(barycenter, div, alt_mean, az_mean): - """ - Compute the position of G for the pointing - - Parameters - ---------- - barycenter: np.array([x,y,z]) - position of the barycenter of the array - div: float - alt_mean: `astropy.Quantity` - mean pointing altitude in radians from which to diverge - az_mean: `astropy.Quantity` - mean pointing azimuth in radians from which to diverge - - Returns - ------- - Numpy array [Gx, Gy, Gz] - """ - norm = _norm_div(div) - Gx = barycenter[0] - norm * np.cos(alt_mean) * np.cos(az_mean) - Gy = barycenter[1] + norm * np.cos(alt_mean) * np.sin(az_mean) - Gz = barycenter[2] - norm * np.sin(alt_mean) - return np.array([Gx, Gy, Gz]) - -def tel_div_pointing(tel_position, G): - """ - Divergent pointing to a point G. - Update telescope pointing - - Parameters - ---------- - tel_position: np.array([x, y, z]) - telescope coordinates - G: numpy.array([Gx, Gy, Gz]) - """ - GT = np.sqrt(((tel_position - G) ** 2).sum()) - alt_tel = np.arcsin((tel_position[2] - G[2]) / GT) - az_tel = np.arctan2((tel_position[1] - G[1]), (tel_position[0] - G[0])) - return alt_tel, az_tel diff --git a/divtel/divtel/telescope.py b/divtel/divtel/telescope.py deleted file mode 100644 index 63a82b2..0000000 --- a/divtel/divtel/telescope.py +++ /dev/null @@ -1,216 +0,0 @@ -import numpy as np -import astropy.units as u -import matplotlib.pyplot as plt -from mpl_toolkits.mplot3d import Axes3D -from . import pointing - - -class Telescope: - - _id = 0 - def __init__(self, x, y, z, focal, camera_radius): - - self.x = x.to(u.m) - self.y = y.to(u.m) - self.z = z.to(u.m) - self.focal = focal.to(u.m) - self.camera_radius = camera_radius.to(u.m) - self.alt = u.Quantity(0, u.rad) - self.az = u.Quantity(0, u.rad) - Telescope._id += 1 - self.id = Telescope._id - - def point_to_altaz(self, alt, az): - self.alt = alt.to(u.rad) - self.az = az.to(u.rad) - - @property - def zenith(self): - return np.pi/2.*u.rad - self.alt - - @property - def fov(self): - """ - Area of the field of view in rad**2 - """ - return u.Quantity(np.pi * (self.camera_radius / self.focal)**2, u.rad**2) - - @property - def position(self): - return np.array([self.x.to(u.m).value, self.y.to(u.m).value, self.z.to(u.m).value]*u.m) - - def point_to_object(self, object): - """ - Point to object. - - Parameters - ---------- - object: numpy.array([x, y, z]) - """ - GT = np.sqrt(((self.position - object) ** 2).sum()) - alt_tel = np.arcsin((-self.z.value + object[2]) / GT) - az_tel = np.arctan2((- self.y.value + object[1]), (- self.x.value + object[0])) - self.point_to_altaz(alt_tel * u.rad, az_tel * u.rad) - - - @property - def pointing_vector(self): - # return pointing.alt_az_to_vector(self.alt, self.az) - return np.array([np.cos(self.alt.to(u.rad))*np.cos(self.az.to(u.rad)), - -np.cos(self.alt.to(u.rad))*np.sin(self.az.to(u.rad)), - np.sin(self.alt.to(u.rad))]) - - -class Array: - - def __init__(self, telescope_list): - self.telescopes = telescope_list - - @property - def positions_array(self): - return np.array([tel.position for tel in self.telescopes]) - - @property - def pointing_vectors(self): - """ - all telescopes pointing vectors as an array - - Returns - ------- - np.array - """ - return np.array([tel.pointing_vector for tel in self.telescopes]) - - @property - def barycenter(self): - return self.positions_array.mean(axis=0) - - def divergent_pointing(self, div, alt_mean, az_mean): - """ - Divergent pointing given a parameter div. - Update pointing of all telescopes of the array - - Parameters - ---------- - div: float between 0 and 1 - alt_mean: `astropy.Quantity` - mean alt pointing - az_mean: `astropy.Quantity` - mean az pointing - """ - if div==0: - for tel in self.telescopes: - tel.point_to_altaz(alt_mean, az_mean) - else: - G = pointing.pointG_position(self.barycenter, div, alt_mean, az_mean) - for tel in self.telescopes: - alt_tel, az_tel = pointing.tel_div_pointing(tel.position, G) - tel.point_to_altaz(alt_tel*u.rad, az_tel*u.rad) - - def display_2d(self, projection='xy', ax=None, **kwargs): - """ - Display the array - - Parameters - ---------- - projection: str - 'xy', 'xz' or 'yz' - ax: `matplotlib.pyplot.axes` - kwargs: args for `pyplot.scatter` - - Returns - ------- - ax: `matplotlib.pyplot.axes` - """ - ax = plt.gca() if ax is None else ax - if 'color' not in kwargs: - kwargs['color'] = 'black' - - if projection=='xy': - xx = self.positions_array[:, 1] - yy = self.positions_array[:, 0] - xb = self.barycenter[1] - yb = self.barycenter[0] - xv = self.pointing_vectors[:, 1] - yv = self.pointing_vectors[:, 0] - xlabel = 'y [m]' - ylabel = 'x [m]' - - elif projection=='xz': - xx = self.positions_array[:, 0] - yy = self.positions_array[:, 2] - xb = self.barycenter[0] - yb = self.barycenter[2] - xv = self.pointing_vectors[:, 0] - yv = self.pointing_vectors[:, 2] - xlabel = 'x [m]' - ylabel = 'z [m]' - - elif projection=='yz': - xx = self.positions_array[:, 1] - yy = self.positions_array[:, 2] - xb = self.barycenter[1] - yb = self.barycenter[2] - xv = self.pointing_vectors[:, 1] - yv = self.pointing_vectors[:, 2] - xlabel = 'y [m]' - ylabel = 'z [m]' - - else: - breakpoint() - - scale = np.max([xx, yy]) / 10. - - ax.scatter(xx, yy, **kwargs, label='telescopes') - ax.scatter(xb, yb, marker='+', label='barycenter') - ax.quiver(xx, yy, xv, yv, - color=kwargs['color'], - scale=scale, - ) - - ax.set_ylabel(ylabel) - ax.set_xlabel(xlabel) - ax.grid('on') - ax.axis('equal') - xlim = ax.get_xlim() - ylim = ax.get_ylim() - ax.set_xlim(xlim[0] - 0.25 * np.abs(xlim[0]), xlim[1] + 0.25 * np.abs(xlim[1])) - ax.set_ylim(ylim[0] - 0.25 * np.abs(ylim[0]), ylim[1] + 0.25 * np.abs(ylim[1])) - return ax - - def display_3d(self): - #TODO: fix pointing quiver length issue - fig = plt.figure() - ax = fig.add_subplot(111, projection='3d') - - X = self.positions_array[:, 0] - Y = self.positions_array[:, 1] - Z = self.positions_array[:, 2] - max_range = np.array([X.max() - X.min(), Y.max() - Y.min(), Z.max() - Z.min()]).max() - scale = 1 - Xb = scale * max_range * np.mgrid[-1:2:2, -1:2:2, -1:2:2][0].flatten() + scale * (X.max() + X.min()) - Yb = scale * max_range * np.mgrid[-1:2:2, -1:2:2, -1:2:2][1].flatten() + scale * (Y.max() + Y.min()) - Zb = scale * max_range * np.mgrid[-0.01:2:2, -0.01:2:2, -0.01:2:2][2].flatten() + scale * (Z.max() + Z.min()) - # Comment or uncomment following both lines to test the fake bounding box: - for xb, yb, zb in zip(Xb, Yb, Zb): - ax.plot([xb], [yb], [zb], 'w') - - ax.quiver(X, - Y, - Z, - self.pointing_vectors[:, 0], - self.pointing_vectors[:, 1], - self.pointing_vectors[:, 2], - color='black', - length=max_range, - ) - - ax.set_xlabel('x [m]') - ax.set_ylabel('y [m]') - ax.set_zlabel('z [m]') - # ax.axis('equal') - - return ax - - - diff --git a/divtel/divtel/visualization.py b/divtel/divtel/visualization.py deleted file mode 100644 index 151ca5d..0000000 --- a/divtel/divtel/visualization.py +++ /dev/null @@ -1,125 +0,0 @@ -import matplotlib.pyplot as plt -import numpy as np -import mpl_toolkits.axisartist.angle_helper as angle_helper -from mpl_toolkits.axisartist import Subplot -from mpl_toolkits.axisartist import SubplotHost, ParasiteAxesAuxTrans -from mpl_toolkits.axisartist.grid_helper_curvelinear import GridHelperCurveLinear -from matplotlib.projections import PolarAxes -from matplotlib.transforms import Affine2D -import astropy.units as u - - -def display_array_pointing_in_sky(array): - #TODO: take an array class and plot the pointings FoV in the sky - # need to handle projection - pass - - - - -def sky_fov(telescope, ax=None): - """ - Display the telescope FoV in the sky - - Parameters - ---------- - telescope: `Telescope` - ax: `matplotlib.pyplot.axes` - - Returns - ------- - ax: `matplotlib.pyplot.axes` - - """ - - -def polar_stuff(fig, telescope): - # PolarAxes.PolarTransform takes radian. However, we want our coordinate - # system in degree - tr = Affine2D().scale(np.pi/180., 1.).translate(+np.pi/2.,0) + PolarAxes.PolarTransform() - - # polar projection, which involves cycle, and also has limits in - # its coordinates, needs a special method to find the extremes - # (min, max of the coordinate within the view). - - # 20, 20 : number of sampling points along x, y direction - n = 1 - extreme_finder = angle_helper.ExtremeFinderCycle(n, n, - lon_cycle=360, - lat_cycle=None, - lon_minmax=None, - lat_minmax=(-90, 90), - ) - - grid_locator1 = angle_helper.LocatorDMS(12) - # Find a grid values appropriate for the coordinate (degree, - # minute, second). - - tick_formatter1 = angle_helper.FormatterDMS() - # And also uses an appropriate formatter. Note that,the - # acceptable Locator and Formatter class is a bit different than - # that of mpl's, and you cannot directly use mpl's Locator and - # Formatter here (but may be possible in the future). - - grid_helper = GridHelperCurveLinear(tr, - extreme_finder=extreme_finder, - grid_locator1=grid_locator1, - tick_formatter1=tick_formatter1 - ) - - ax1 = SubplotHost(fig, 1, 1, 1, grid_helper=grid_helper) - - # make ticklabels of right and top axis visible. - ax1.axis["right"].major_ticklabels.set_visible(True) - ax1.axis["top"].major_ticklabels.set_visible(True) - - # let right axis shows ticklabels for 1st coordinate (angle) - ax1.axis["right"].get_helper().nth_coord_ticks = 0 - # let bottom axis shows ticklabels for 2nd coordinate (radius) - ax1.axis["bottom"].get_helper().nth_coord_ticks = 1 - - fig.add_subplot(ax1) - - # A parasite axes with given transform - ax2 = ParasiteAxesAuxTrans(ax1, tr, "equal") - # note that ax2.transData == tr + ax1.transData - # Anything you draw in ax2 will match the ticks and grids of ax1. - ax1.parasites.append(ax2) - # intp = cbook.simple_linear_interpolation - #ax2.plot(intp(np.array([0, 30]), 50), - # intp(np.array([10., 10.]), 50), - # linewidth=2.0) - - - - x = np.rad2deg(telescope.az.value) * np.cos(telescope.alt.value) - y = np.rad2deg(telescope.alt.value) - - circle = plt.Circle((np.rad2deg(telescope.az.value - np.pi) * np.sin(telescope.alt.value), - np.rad2deg(-telescope.alt.value * np.cos((telescope.az.value - np.pi)))), - radius=7.7 / 2, - color="red", - alpha=0.2, - ) - - circle = plt.Circle((x, y), - radius=7.7 / 2, - color="red", - alpha=0.2, - ) - ax1.add_artist(circle) - # point = ax1.scatter(x, y, c="b", s=20, zorder=10, transform=ax2.transData) - ax2.annotate(1, (x, y), fontsize=15, xytext=(4, 4), textcoords='offset pixels') - - ax1.set_xlim(-180, 180) - ax1.set_ylim(0, 90) - ax1.set_aspect(1.) - ax1.grid(True, zorder=0) - ax1.set_xlabel("Azimuth in degrees", fontsize=20) - ax1.set_ylabel("Zenith in degrees", fontsize=20) - - plt.show() - return fig - - - diff --git a/divtel/examples/example.py b/divtel/examples/example.py deleted file mode 100644 index 1a5a765..0000000 --- a/divtel/examples/example.py +++ /dev/null @@ -1,108 +0,0 @@ -import astropy.units as u -import numpy as np -import matplotlib.pyplot as plt - -print(np) - -from divtel.telescope import Telescope, Array -from divtel import pointing - -def hess_1(): - tel1 = Telescope(10*u.m, 0*u.m, 0*u.m, 20*u.m, 1*u.m) - tel2 = Telescope(0 * u.m, 10 * u.m, 0 * u.m, 20 * u.m, 1 * u.m) - tel3 = Telescope(-10 * u.m, 0 * u.m, 0 * u.m, 20 * u.m, 1 * u.m) - tel4 = Telescope(0 * u.m, -10 * u.m, 0 * u.m, 20 * u.m, 1 * u.m) - return Array([tel1, tel2, tel3, tel4]) - - -def hess_2(): - tel1 = Telescope(10*u.m, 0*u.m, 0*u.m, 20*u.m, 1*u.m) - tel2 = Telescope(0 * u.m, 10 * u.m, 0 * u.m, 20 * u.m, 1 * u.m) - tel3 = Telescope(-10 * u.m, 0 * u.m, 0 * u.m, 20 * u.m, 1 * u.m) - tel4 = Telescope(0 * u.m, -10 * u.m, 0 * u.m, 20 * u.m, 1 * u.m) - tel5 = Telescope(0 * u.m, 0 * u.m, 0 * u.m, 30 * u.m, 1 * u.m) - return Array([tel1, tel2, tel3, tel4, tel5]) - - -def random_array(n=10): - tels = [Telescope(10*np.random.rand()*u.m, - 10*np.random.rand() * u.m, - 10*np.random.rand() * u.m, - np.random.rand() * u.m, - np.random.rand() * u.m, - ) - for i in range(n) - ] - return Array(tels) - - -def main(): - """ - just to test things - """ - - # print(tel1.position) - # print(tel1.zenith) - - array = hess_1() - # array = random_array() - - for tel in array.telescopes: - tel.point_to_altaz(90*u.deg, 0*u.deg) - - # tel2.point_to_altaz(0*u.deg, -90*u.deg) - # print(array.positions_array) - # print(array.barycenter[0]) - # - # ax = array.display_positions() - # ax.legend() - # plt.show() - - # print(array.pointing_vectors) - - alt = 40 * u.deg - az = 0 * u.deg - # alt = np.random.rand()*u.rad - # az = np.random.rand()*u.rad - - array.divergent_pointing(0.1, alt, az) - ax = array.display_2d(projection='xy') - ax.legend() - plt.show() - - print(array.positions_array) - print(array.barycenter) - - - ax = array.display_3d() - ax.set_zlim(0, 1) - plt.show() - - telescopes_distances = np.sqrt(np.sum((array.positions_array - array.barycenter)**2, axis=1)) - # print(telescopes_distances) - tels_alt = np.array([tel.alt.value for tel in array.telescopes]) - tels_az = np.array([tel.az.value for tel in array.telescopes]) - # print(array.pointing_vectors) - # print(tels_alt, tels_az) - p = np.average(array.pointing_vectors, weights=telescopes_distances, axis=0) - - # print(np.average(tels_alt, weights=telescopes_distances), np.average(tels_az, weights=telescopes_distances)) - - # print(p) - # print(pointing.alt_az_to_vector(alt, az)) - # np.testing.assert_allclose(p, pointing.alt_az_to_vector(alt, az), rtol=1e-2) - - # from visualization import polar_stuff - - # tel1.point_to_altaz(70*u.deg, np.pi*u.rad) - # ax = polar_stuff(plt.figure(), tel1) - # ax.set_xlim(50, 80) - # ax.set_ylim(50, 90) - # plt.show() - - for tel in array.telescopes: - print(tel.id) - -if __name__ == "__main__": - main() - diff --git a/divtel/examples/interactive_display.ipynb b/divtel/examples/interactive_display.ipynb deleted file mode 100644 index b937939..0000000 --- a/divtel/examples/interactive_display.ipynb +++ /dev/null @@ -1,177 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "%load_ext autoreload\n", - "%autoreload 2" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "import astropy.units as u\n", - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "import sys\n", - "from divtel.telescope import Telescope, Array\n", - "from divtel import pointing\n", - "from ipywidgets import interactive, FloatSlider, interact, fixed" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "def hess_1():\n", - " tel1 = Telescope(100*u.m, 0*u.m, 0*u.m, 20*u.m, 1*u.m)\n", - " tel2 = Telescope(0 * u.m, 100 * u.m, 0 * u.m, 20 * u.m, 1 * u.m)\n", - " tel3 = Telescope(-100 * u.m, 0 * u.m, 0 * u.m, 20 * u.m, 1 * u.m)\n", - " tel4 = Telescope(0 * u.m, -100 * u.m, 0 * u.m, 20 * u.m, 1 * u.m)\n", - " return Array([tel1, tel2, tel3, tel4])\n", - "\n", - "def random_array(n=10):\n", - " tels = [Telescope(1000*np.random.rand()*u.m,\n", - " 1000*np.random.rand() * u.m,\n", - " 0 * u.m,\n", - " np.random.rand() * u.m,\n", - " np.random.rand() * u.m,\n", - " )\n", - " for i in range(n)\n", - " ]\n", - " array = Array(tels)\n", - " for tel in array.telescopes:\n", - " tel.x -= array.barycenter[0]*u.m\n", - " tel.y -= array.barycenter[0]*u.m\n", - " tel.z -= array.barycenter[0]*u.m\n", - " return Array(tels)" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "array = hess_1()\n", - "\n", - "for tel in array.telescopes:\n", - " tel.point_to_altaz(90*u.deg, 0*u.deg)" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "bad8d14202dd4decbfe57448f592a5eb", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "interactive(children=(FloatSlider(value=0.0, description='div', max=1.0, step=0.01), IntSlider(value=45, descr…" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "%matplotlib inline\n", - "@interact\n", - "def interactive_2d(div=(0, 1, 0.01), alt=(0,90), az=(0,90)):\n", - " array.divergent_pointing(div, alt*u.deg, az*u.deg)\n", - " fig, axes = plt.subplots(1, 3, figsize=(15,4))\n", - " ax = array.display_2d(projection='xz', ax=axes[0])\n", - " array.display_2d(projection='xy', ax=axes[1])\n", - " array.display_2d(projection='yz', ax=axes[2])\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "065d4b5042e041f881015c33df8000ba", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "interactive(children=(FloatSlider(value=0.0, description='div', max=1.0, step=0.01), IntSlider(value=45, descr…" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "%matplotlib notebook\n", - "@interact(continuous_update=False)\n", - "def interactive_3d(div=(0, 1, 0.01), alt=(0,90), az=(0,90)):\n", - " array.divergent_pointing(div, alt*u.deg, az*u.deg)\n", - " ax = array.display_3d()\n", - " ax.scatter(array.barycenter[0], array.barycenter[1], array.barycenter[2])\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.3" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/divtel/setup.py b/divtel/setup.py deleted file mode 100644 index 4ca0ab5..0000000 --- a/divtel/setup.py +++ /dev/null @@ -1,27 +0,0 @@ -#!/usr/bin/env python -# Licensed under a 3-clause BSD style license - see LICENSE.rst -# import sys -from setuptools import setup, find_packages -import os -import re - - -def get_property(prop, project): - result = re.search(r'{}\s*=\s*[\'"]([^\'"]*)[\'"]'.format(prop), open(project + '/__init__.py').read()) - return result.group(1) - - -setup(name='divtel', - version=0.1, - description="Divergent pointing library", # these should be minimum list of what is needed to run - packages=find_packages(), - install_requires=['astropy', - ], - package_data={}, - tests_require=['pytest', 'pytest-ordering'], - author='T. Vuillaume, A. Donini, T. Gasparetto', - author_email='thomas.vuillaume[at]lapp.in2p3.fr', - license='MIT', - url='', - long_description='', - ) diff --git a/layout_Paranal_HB9.lis b/layout_Paranal_HB9.lis deleted file mode 100644 index a52118d..0000000 --- a/layout_Paranal_HB9.lis +++ /dev/null @@ -1,99 +0,0 @@ --20.000 65.000 16.0 28 2.15 --20.000 -65.000 16.0 28 2.15 -80.000 0.000 16.0 28 2.15 --120.000 0.000 16.0 28 2.15 -0.000 0.000 10.0 16 3.85 -0.000 151.200 10.0 16 3.85 -0.000 -151.200 10.0 16 3.85 -146.656 75.600 10.0 16 3.85 -146.656 -75.600 10.0 16 3.85 --146.656 85.600 10.0 16 3.85 --146.656 -85.600 10.0 16 3.85 -154.205 238.474 10.0 16 3.85 -154.205 -238.474 10.0 16 3.85 -308.410 0.000 10.0 16 3.85 --154.205 238.474 10.0 16 3.85 --154.205 -238.474 10.0 16 3.85 --308.410 0.000 10.0 16 3.85 -0.000 325.242 10.0 16 3.85 -0.000 -325.242 10.0 16 3.85 -315.468 162.621 10.0 16 3.85 -315.468 -162.621 10.0 16 3.85 --315.468 162.621 10.0 16 3.85 --315.468 -162.621 10.0 16 3.85 -291.085 450.155 10.0 16 3.85 -291.085 -450.155 10.0 16 3.85 -582.170 0.000 10.0 16 3.85 --291.085 450.155 10.0 16 3.85 --291.085 -450.155 10.0 16 3.85 --582.170 0.000 10.0 16 3.85 -205.500 158.900 5.0 5.6 4.45 -205.500 -158.900 5.0 5.6 4.45 --205.500 158.900 5.0 5.6 4.45 --205.500 -158.900 5.0 5.6 4.45 -164.823 424.824 5.0 5.6 4.45 -164.823 -424.824 5.0 5.6 4.45 --164.823 424.824 5.0 5.6 4.45 --164.823 -424.824 5.0 5.6 4.45 -494.469 110.000 5.0 5.6 4.45 -494.469 -110.000 5.0 5.6 4.45 --494.469 110.000 5.0 5.6 4.45 --494.469 -110.000 5.0 5.6 4.45 -0.000 519.795 5.0 5.6 4.45 -0.000 -519.795 5.0 5.6 4.45 -391.606 403.739 5.0 5.6 4.45 -391.606 -403.739 5.0 5.6 4.45 --391.606 403.739 5.0 5.6 4.45 --391.606 -403.739 5.0 5.6 4.45 -618.073 318.611 5.0 5.6 4.45 -618.073 -318.611 5.0 5.6 4.45 --618.073 318.611 5.0 5.6 4.45 --618.073 -318.611 5.0 5.6 4.45 -0.000 723.527 5.0 5.6 4.45 -0.000 -723.527 5.0 5.6 4.45 -820.000 0.000 5.0 5.6 4.45 --820.000 0.000 5.0 5.6 4.45 -435.304 673.186 5.0 5.6 4.45 -435.304 -673.186 5.0 5.6 4.45 --435.304 673.186 5.0 5.6 4.45 --435.304 -673.186 5.0 5.6 4.45 -220.844 796.903 5.0 5.6 4.45 -220.844 -796.903 5.0 5.6 4.45 -662.533 569.216 5.0 5.6 4.45 -662.533 -569.216 5.0 5.6 4.45 -883.377 227.687 5.0 5.6 4.45 -883.377 -227.687 5.0 5.6 4.45 --220.844 796.903 5.0 5.6 4.45 --220.844 -796.903 5.0 5.6 4.45 --662.533 569.216 5.0 5.6 4.45 --662.533 -569.216 5.0 5.6 4.45 --883.377 227.687 5.0 5.6 4.45 --883.377 -227.687 5.0 5.6 4.45 -0.000 944.301 5.0 5.6 4.45 -0.000 -944.301 5.0 5.6 4.45 -915.923 472.151 5.0 5.6 4.45 -915.923 -472.151 5.0 5.6 4.45 --915.923 472.151 5.0 5.6 4.45 --915.923 -472.151 5.0 5.6 4.45 -1100.000 0.000 5.0 5.6 4.45 --1100.000 0.000 5.0 5.6 4.45 -471.012 971.210 5.0 5.6 4.45 -471.012 -971.210 5.0 5.6 4.45 -706.518 849.809 5.0 5.6 4.45 -706.518 -849.809 5.0 5.6 4.45 --471.012 971.210 5.0 5.6 4.45 --471.012 -971.210 5.0 5.6 4.45 --706.518 849.809 5.0 5.6 4.45 --706.518 -849.809 5.0 5.6 4.45 -239.197 1109.735 5.0 5.6 4.45 -239.197 -1109.735 5.0 5.6 4.45 -956.787 739.823 5.0 5.6 4.45 -956.787 -739.823 5.0 5.6 4.45 --239.197 1109.735 5.0 5.6 4.45 --239.197 -1109.735 5.0 5.6 4.45 --956.787 739.823 5.0 5.6 4.45 --956.787 -739.823 5.0 5.6 4.45 -1195.984 369.912 5.0 5.6 4.45 -1195.984 -369.912 5.0 5.6 4.45 --1195.984 369.912 5.0 5.6 4.45 --1195.984 -369.912 5.0 5.6 4.45 \ No newline at end of file diff --git a/output/CTA-ULTRA6-LaPalma-div0_01-az180_0-alt70_0.cfg b/output/CTA-ULTRA6-LaPalma-div0_01-az180_0-alt70_0.cfg new file mode 100644 index 0000000..9aed688 --- /dev/null +++ b/output/CTA-ULTRA6-LaPalma-div0_01-az180_0-alt70_0.cfg @@ -0,0 +1,109 @@ +#ifndef TELESCOPE +# define TELESCOPE 0 +#endif +#if TELESCOPE == 0 + TELESCOPE_THETA=20.00 + TELESCOPE_PHI=180.00 + +% Global and default configuration for things missing in telescope-specific config. +# include + +#elif TELESCOPE == 1 +# include + TELESCOPE_THETA=19.96 + TELESCOPE_PHI=179.43 + +#elif TELESCOPE == 2 +# include + TELESCOPE_THETA=19.79 + TELESCOPE_PHI=181.43 + +#elif TELESCOPE == 3 +# include + TELESCOPE_THETA=19.20 + TELESCOPE_PHI=181.21 + +#elif TELESCOPE == 4 +# include + TELESCOPE_THETA=19.43 + TELESCOPE_PHI=179.20 + +#elif TELESCOPE == 5 +# include + TELESCOPE_THETA=20.70 + TELESCOPE_PHI=180.39 + +#elif TELESCOPE == 6 +# include + TELESCOPE_THETA=20.60 + TELESCOPE_PHI=183.19 + +#elif TELESCOPE == 7 +# include + TELESCOPE_THETA=19.53 + TELESCOPE_PHI=183.74 + +#elif TELESCOPE == 8 +# include + TELESCOPE_THETA=18.70 + TELESCOPE_PHI=181.83 + +#elif TELESCOPE == 9 +# include + TELESCOPE_THETA=18.96 + TELESCOPE_PHI=177.14 + +#elif TELESCOPE == 10 +# include + TELESCOPE_THETA=20.01 + TELESCOPE_PHI=177.14 + +#elif TELESCOPE == 11 +# include + TELESCOPE_THETA=20.71 + TELESCOPE_PHI=177.60 + +#elif TELESCOPE == 12 +# include + TELESCOPE_THETA=20.27 + TELESCOPE_PHI=185.80 + +#elif TELESCOPE == 13 +# include + TELESCOPE_THETA=19.52 + TELESCOPE_PHI=174.26 + +#elif TELESCOPE == 14 +# include + TELESCOPE_THETA=20.64 + TELESCOPE_PHI=174.89 + +#elif TELESCOPE == 15 +# include + TELESCOPE_THETA=19.60 + TELESCOPE_PHI=180.31 + +#elif TELESCOPE == 16 +# include + TELESCOPE_THETA=21.40 + TELESCOPE_PHI=185.61 + +#elif TELESCOPE == 17 +# include + TELESCOPE_THETA=21.41 + TELESCOPE_PHI=182.30 + +#elif TELESCOPE == 18 +# include + TELESCOPE_THETA=21.51 + TELESCOPE_PHI=179.08 + +#elif TELESCOPE == 19 +# include + TELESCOPE_THETA=18.55 + TELESCOPE_PHI=174.64 +#else + Error Invalid telescope for CTA-ULTRA6 La Palma configuration. +#endif +trigger_telescopes = 2 % In contrast to Prod-3 South we apply loose stereo trigger immediately +array_trigger = array_trigger_ultra6_diver-test.dat diff --git a/output/test_0h_0.003.npy b/output/test_0h_0.003.npy new file mode 100644 index 0000000..88baf25 Binary files /dev/null and b/output/test_0h_0.003.npy differ diff --git a/output/test_0h_0.01.npy b/output/test_0h_0.01.npy new file mode 100644 index 0000000..12546f0 Binary files /dev/null and b/output/test_0h_0.01.npy differ diff --git a/output/test_0h_0.02.npy 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a/output/test_a6h_0.01.npy b/output/test_a6h_0.01.npy new file mode 100644 index 0000000..38f5101 Binary files /dev/null and b/output/test_a6h_0.01.npy differ diff --git a/output/test_b3h_0.01.npy b/output/test_b3h_0.01.npy new file mode 100644 index 0000000..387734b Binary files /dev/null and b/output/test_b3h_0.01.npy differ diff --git a/polar_plot_multiplicity/produce_multiplicity-shapely-v2.ipynb b/polar_plot_multiplicity/produce_multiplicity-shapely-v2.ipynb deleted file mode 100644 index 790812f..0000000 --- a/polar_plot_multiplicity/produce_multiplicity-shapely-v2.ipynb +++ /dev/null @@ -1,2134 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 572, - "metadata": {}, - "outputs": [], - "source": [ - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "import matplotlib as mpl\n", - "import copy\n", - "import ipywidgets\n", - "import ctaplot" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "from descartes import PolygonPatch\n", - "from shapely.ops import unary_union, polygonize\n", - "from shapely.geometry import mapping, Polygon, Point, LineString\n", - "#from matplotlib.colors import ListedColormap" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[14.0, 10.0]" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "plt.rcParams['figure.figsize'] = (14, 10)\n", - "plt.rcParams['font.size'] = 12\n", - "plt.rcParams['figure.figsize']\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Polar FOVS" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "heading_collapsed": true - }, - "source": [ - "## load fovs" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": { - "hidden": true - }, - "outputs": [], - "source": [ - "# FOV 05\n", - "div_05 = open(\"CTA-ULTRA6-LaPalma-divergent_05_180.cfg\")\n", - "text_05 = div_05.read()\n", - "text_05 = text_05.split(\"#\")[1:]\n", - "\n", - "tels_dict_05 = {}\n", - "for line in text_05:\n", - " line_list = line.split(\"\\n\")\n", - " tels_dict_05[int(line_list[0])] = {\n", - " line_list[1].split(\"=\")[0]: float(line_list[1].split(\"=\")[1]),\n", - " line_list[2].split(\"=\")[0]: float(line_list[2].split(\"=\")[1]),\n", - " }" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "hidden": true - }, - "outputs": [], - "source": [ - "# fov 2\n", - "div_2 = open(\"CTA-ULTRA6-LaPalma-divergent_2_180.cfg\")\n", - "text_2 = div_2.read()\n", - "text_2 = text_2.split(\"#\")[1:]\n", - "\n", - "tels_dict_2 = {}\n", - "for line in text_2:\n", - " line_list = line.split(\"\\n\")\n", - " tels_dict_2[int(line_list[0])] = {\n", - " line_list[1].split(\"=\")[0]: float(line_list[1].split(\"=\")[1]),\n", - " line_list[2].split(\"=\")[0]: float(line_list[2].split(\"=\")[1]),\n", - " }" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "hidden": true - }, - "outputs": [], - "source": [ - "# fov 3\n", - "div_3 = open(\"CTA-ULTRA6-LaPalma-divergent_3_180.cfg\")\n", - "text_3 = div_3.read()\n", - "text_3 = text_3.split(\"#\")[1:]\n", - "\n", - "tels_dict_3 = {}\n", - "for line in text_3:\n", - " line_list = line.split(\"\\n\")\n", - " tels_dict_3[int(line_list[0])] = {\n", - " line_list[1].split(\"=\")[0]: float(line_list[1].split(\"=\")[1]),\n", - " line_list[2].split(\"=\")[0]: float(line_list[2].split(\"=\")[1]),\n", - " }" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": { - "hidden": true - }, - "outputs": [], - "source": [ - "# FOV 4\n", - "div_4 = open(\"CTA-ULTRA6-LaPalma-divergent_4_180.cfg\")\n", - "text_4 = div_4.read()\n", - "text_4 = text_4.split(\"#\")[1:]\n", - "\n", - "tels_dict_4 = {}\n", - "for line in text_4:\n", - " line_list = line.split(\"\\n\")\n", - " tels_dict_4[int(line_list[0])] = {\n", - " line_list[1].split(\"=\")[0]: float(line_list[1].split(\"=\")[1]),\n", - " line_list[2].split(\"=\")[0]: float(line_list[2].split(\"=\")[1]),\n", - " }" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## plot fovs" - ] - }, - { - "cell_type": "code", - "execution_count": 633, - "metadata": { - "code_folding": [] - }, - "outputs": [], - "source": [ - "## import numpy as np\n", - "\n", - "import matplotlib.pyplot as plt\n", - "import matplotlib.cbook as cbook\n", - "\n", - "from mpl_toolkits.axisartist import Subplot\n", - "from mpl_toolkits.axisartist import SubplotHost, ParasiteAxesAuxTrans\n", - "from mpl_toolkits.axisartist.grid_helper_curvelinear import GridHelperCurveLinear\n", - "import mpl_toolkits.axisartist.angle_helper as angle_helper\n", - "from matplotlib.projections import PolarAxes\n", - "from matplotlib.transforms import Affine2D\n", - "\n", - "\n", - "def polar_stuff(fig, data, mean_poiting=None):\n", - " # PolarAxes.PolarTransform takes radian. However, we want our coordinate\n", - " # system in degree\n", - " tr = Affine2D().scale(np.pi/180., 1.).translate(+np.pi/2.,0) + PolarAxes.PolarTransform()\n", - "\n", - " # polar projection, which involves cycle, and also has limits in\n", - " # its coordinates, needs a special method to find the extremes\n", - " # (min, max of the coordinate within the view).\n", - "\n", - " # 20, 20 : number of sampling points along x, y direction\n", - " n = len(data)\n", - " extreme_finder = angle_helper.ExtremeFinderCycle(n, n,\n", - " lon_cycle=360,\n", - " lat_cycle=None,\n", - " lon_minmax=None,\n", - " lat_minmax=(-90, 90),\n", - " )\n", - "\n", - " grid_locator1 = angle_helper.LocatorDMS(12)\n", - " # Find a grid values appropriate for the coordinate (degree,\n", - " # minute, second).\n", - "\n", - " tick_formatter1 = angle_helper.FormatterDMS()\n", - " # And also uses an appropriate formatter. Note that,the\n", - " # acceptable Locator and Formatter class is a bit different than\n", - " # that of mpl's, and you cannot directly use mpl's Locator and\n", - " # Formatter here (but may be possible in the future).\n", - "\n", - " grid_helper = GridHelperCurveLinear(tr,\n", - " extreme_finder=extreme_finder,\n", - " grid_locator1=grid_locator1,\n", - " tick_formatter1=tick_formatter1\n", - " )\n", - "\n", - " ax1 = SubplotHost(fig, 1, 1, 1, grid_helper=grid_helper)\n", - "\n", - " # make ticklabels of right and top axis visible.\n", - " ax1.axis[\"right\"].major_ticklabels.set_visible(True)\n", - " ax1.axis[\"top\"].major_ticklabels.set_visible(True)\n", - "\n", - " # let right axis shows ticklabels for 1st coordinate (angle)\n", - " ax1.axis[\"right\"].get_helper().nth_coord_ticks = 0\n", - " # let bottom axis shows ticklabels for 2nd coordinate (radius)\n", - " ax1.axis[\"bottom\"].get_helper().nth_coord_ticks = 1\n", - "\n", - " fig.add_subplot(ax1)\n", - "\n", - " # A parasite axes with given transform\n", - " ax2 = ParasiteAxesAuxTrans(ax1, tr, \"equal\")\n", - " # note that ax2.transData == tr + ax1.transData\n", - " # Anything you draw in ax2 will match the ticks and grids of ax1.\n", - " ax1.parasites.append(ax2)\n", - " # intp = cbook.simple_linear_interpolation\n", - " #ax2.plot(intp(np.array([0, 30]), 50),\n", - " # intp(np.array([10., 10.]), 50),\n", - " # linewidth=2.0)\n", - "\n", - " for key, value in data.items():\n", - "# if key < 5:\n", - "# continue\n", - " theta = value['THETA']\n", - " phi = value['PHI']\n", - " # point.set_transform(ax2.transData)\n", - " # transform center coordinates: \n", - " # circle1 = plt.Circle(\n", - " # (\n", - " # (phi-180)*(theta/np.cos((phi-180)*np.pi/180))/90*np.pi/2,\n", - " # #(phi-180)*(theta)/(90),\n", - " # -theta*np.cos((phi-180)*np.pi/180)\n", - " # ), \n", - " # 7.7/2, color='r', alpha=0.1\n", - " # )\n", - " circle1 = plt.Circle(\n", - " (\n", - " (phi-180)*np.sin(np.deg2rad(theta)), \n", - " -theta*np.cos(np.deg2rad((phi-180)))\n", - " ), \n", - " radius=7.7/2, \n", - " color=\"red\", alpha=0.2\n", - " )\n", - "\n", - "\n", - " ax1.add_artist(circle1)\n", - " point = ax1.scatter(phi, theta, c = \"b\", s = 20, zorder= 10, transform=ax2.transData)\n", - " # ax2.scatter(phi, theta, c = \"b\", s = 50)\n", - " ax2.annotate((key), (phi, theta), fontsize=15, xytext=(4, 4), textcoords='offset pixels')\n", - "\n", - " if mean_poiting:\n", - " ax1.scatter(mean_poiting[0], mean_poiting[1], label=\"mean\", zorder=20, c=\"green\")\n", - " ax2.annotate(\"m\", (mean_poiting[0], mean_poiting[1]), \n", - " fontsize=30, xytext=(-15, 4), \n", - " textcoords='offset pixels', \n", - " zorder=30, color=\"green\")\n", - "\n", - " theta = np.array([data[i]['THETA'] for i in data])\n", - " phi = np.array([data[i]['PHI'] for i in data])\n", - " print(theta.min(), theta.max())\n", - " print(phi.min(), phi.max())\n", - "# ax1.set_xlim(phi.min()*2,phi.max()*2)\n", - " ax1.set_ylim(-theta.min()/1.4, -theta.max()*1.4)\n", - " ax1.set_xlim(-20,20)\n", - " ax1.set_ylim(-10, 10)\n", - " ax1.set_aspect(1.)\n", - " ax1.grid(True, zorder=0)\n", - " ax1.set_xlabel(\"Azimuth in degrees\", fontsize=20)\n", - " ax1.set_ylabel(\"Zenith in degrees\", fontsize=20)\n", - " return fig, point" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": 571, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{0: {'THETA': 1.6584194253914148, 'PHI': 1.4839569015487445e-29},\n", - " 1: {'THETA': 1.6584194253914148, 'PHI': 90.00000000000013},\n", - " 2: {'THETA': 1.6584194253914148, 'PHI': 180.0},\n", - " 3: {'THETA': 1.6584194253914148, 'PHI': 269.9999999999999},\n", - " 4: {'THETA': 3.31406463024922, 'PHI': 7.419784507743715e-30},\n", - " 5: {'THETA': 3.31406463024922, 'PHI': 90.00000000000006},\n", - " 6: {'THETA': 3.31406463024922, 'PHI': 180.0},\n", - " 7: {'THETA': 3.31406463024922, 'PHI': 269.99999999999994},\n", - " 8: {'THETA': 4.681582347240919, 'PHI': 45.00000000000003},\n", - " 9: {'THETA': 4.681582347240919, 'PHI': 224.99999999999997},\n", - " 10: {'THETA': 4.681582347240919, 'PHI': 314.99999999999994},\n", - " 11: {'THETA': 4.681582347240919, 'PHI': 135.00000000000003}}" - ] - }, - "execution_count": 571, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "test_dict[]" - ] - }, - { - "cell_type": "code", - "execution_count": 161, - "metadata": {}, - "outputs": [], - "source": [ - "tel_fake = {}\n", - "tel_fake[14] = {'PHI':190, 'THETA':30}\n", - "tel_fake[19] = {'PHI':150, 'THETA':12}\n" - ] - }, - { - "cell_type": "code", - "execution_count": 142, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{1: {'THETA': 20.12, 'PHI': 179.1},\n", - " 2: {'THETA': 20.29, 'PHI': 178.36},\n", - " 3: {'THETA': 19.86, 'PHI': 180.21},\n", - " 4: {'THETA': 19.5, 'PHI': 181.82},\n", - " 5: {'THETA': 22.62, 'PHI': 180.66},\n", - " 6: {'THETA': 21.9, 'PHI': 184.6},\n", - " 7: {'THETA': 17.16, 'PHI': 185.07},\n", - " 8: {'THETA': 13.77, 'PHI': 182.43},\n", - " 9: {'THETA': 14.96, 'PHI': 176.43},\n", - " 10: {'THETA': 19.51, 'PHI': 176.21},\n", - " 11: {'THETA': 22.71, 'PHI': 176.7},\n", - " 12: {'THETA': 20.05, 'PHI': 188.11},\n", - " 13: {'THETA': 17.32, 'PHI': 172.47},\n", - " 14: {'THETA': 22.29, 'PHI': 172.87},\n", - " 15: {'THETA': 17.78, 'PHI': 180.53},\n", - " 16: {'THETA': 24.73, 'PHI': 188.29},\n", - " 17: {'THETA': 25.69, 'PHI': 183.5},\n", - " 18: {'THETA': 26.37, 'PHI': 178.74},\n", - " 19: {'THETA': 13.13, 'PHI': 173.38}}" - ] - }, - "execution_count": 142, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "tels_dict_4" - ] - }, - { - "cell_type": "code", - "execution_count": 325, - "metadata": {}, - "outputs": [], - "source": [ - "paranal = np.loadtxt('/Users/thomasvuillaume/Work/Dev/pschitt/share/arrays/paranal.txt',\n", - " skiprows=1,\n", - " delimiter=',',\n", - " usecols=(2,3,4)\n", - " )\n", - "# paranal" - ] - }, - { - "cell_type": "code", - "execution_count": 467, - "metadata": {}, - "outputs": [], - "source": [ - "center = [0,0,0]\n", - "tels =np.array([[1,0,0],\n", - " [0,1,0],\n", - " [-1,0,0],\n", - " [0,-1,0],\n", - " [2,0,0],\n", - " [0,2,0],\n", - " [-2,0,0],\n", - " [0,-2,0],\n", - " [2,2,0],\n", - " [-2,-2,0],\n", - " [2,-2,0],\n", - " [-2,2,0]\n", - " ])\n", - "# tels = np.random.rand(10,3)\n", - "# tels = paranal/1000" - ] - }, - { - "cell_type": "code", - "execution_count": 468, - "metadata": {}, - "outputs": [], - "source": [ - "def array_alt_az_div(div, tels_pos, alt, az):\n", - " B = np.mean(tels_pos, axis=0)\n", - " gb = - np.log(div)\n", - " Gx = B[0] - gb * np.cos(alt)*np.cos(az)\n", - " Gy = B[1] - gb * np.cos(alt)*np.sin(az)\n", - " Gz = B[2] - gb * np.sin(alt)\n", - " G = np.array([Gx, Gy, Gz])\n", - " \n", - "# print(B)\n", - "# print(G)\n", - " tels_dict = {}\n", - " for ii, tel in enumerate(tels_pos):\n", - " gt = np.sqrt(((tel - G)**2).sum())\n", - "# print(\"gt\", gt)\n", - " alt_tel = np.arcsin((tel[2]-Gz)/gt)\n", - " az_tel = np.arctan2((tel[1]-Gy), (tel[0] - Gx))\n", - "# print(\"alt\", np.rad2deg(alt_tel))\n", - "# print(\"az\", az_tel)\n", - " tels_dict[ii] = {'THETA': 90-np.rad2deg(alt_tel),\n", - " 'PHI': np.rad2deg(np.mod(az_tel, 2*np.pi)),\n", - " }\n", - " return tels_dict\n", - " " - ] - }, - { - "cell_type": "code", - "execution_count": 469, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(-2.204224270353303, 2.204224270353303, -2.2060706401766006, 2.2060706401766)" - ] - }, - "execution_count": 469, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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SkitP23ZlkhfPY+2p2/9qbXff293r3b2+b9++RQZljquvWntD27m02d+w+ziu57Cv2QlLxs/TSfZW1c9s2XZ9ksPbrD28+djWdd/v7h8uOA/kloPXZu2yPa/btnbZntxy8NoVTcSFZH/D7uO4nsO+ZicsdrW37n65qg4l+UJV/XZOXu3tV5L8h22WfznJA1X1YJLvJrk9yQNLzQKnnDpB0pVjZrC/YfdxXM9hX7MTFrvaW3Ly7/wkuT/JLyX5YZJbu/vPqupAkm8m+UB3P7e59nNJPp9kLclXk3y6u1852/O72hsAAHA2Z7va26J/56e7/znJTdtsfy4nL3KwdduXknxpydcHAAA4kyXP+QEAALhoiR8AAGAE8QMAAIwgfgAAgBHEDwAAMIL4AQAARhA/AADACOIHAAAYQfwAAAAjiB8AAGAE8QMAAIwgfgAAgBHEDwAAMIL4AQAARhA/AADACOIHAAAYQfwAAAAjiB8AAGAE8QMAAIwgfgAAgBHEDwAAMIL4AQAARhA/AADACOIHAAAYQfwAAAAjiB8AAGAE8QMAAIwgfgAAgBHEDwAAMIL4AQAARhA/AADACOIHAAAYQfwAAAAjiB8AAGAE8QMAAIwgfgAAgBHEDwAAMIL4AQAARhA/AADACOIHAAAYQfwAAAAjiB8AAGAE8QMAAIwgfgAAgBHEDwAAMIL4AQAARhA/AADACOIHAAAYQfwAAAAjiB8AAGAE8QMAAIwgfgAAgBEWiZ+qeldVPVRVL1fVs1X1a2dZ+6mqOlFVL235uHGJOQAAAM5k70LP88dJfpRkf5IPJ/nbqnqiuw+fYf3fdfdHFnptAACAc3rL7/xU1TuSfDLJHd39Unc/muSvk/zGW31uAACApSzxa2/vS3Kiu5/esu2JJNed5XNuqKofVNXTVXVHVS31DhQAAMC2loiOK5IcO23bsSTvPMP6byT5YJJnczKQ/iLJj5Pcvd3iqro5yc1JcuDAgQXGBQAAJjrnOz9V9fWq6jN8PJrkpSRXnvZpVyZ5cbvn6+5vd/d3uvsn3f1kki8k+dUzvX5339vd6929vm/fvvP/lwEAAGxxznd+uvvGsz2+ec7P3qr6me7+h83N1yc508UO/tVLJKnzXAsAAPCmvOVzfrr75SSHknyhqt5RVT+f5FeSfGW79VX18arav3n7/UnuSPJXb3UOAACAs1nqj5z+XpK1JP+U5M+T/O6py1xX1YHNv+Vz6oSdjyX5+6p6OcnXcjKc/mihOQAAALa1yFXWuvufk9x0hseey8mLIpy6//tJfn+J1wUAADhfS73zAwAAcFETPwAAwAjiBwAAGEH8AAAAI4gfAABgBPEDAACMIH4AAIARxA8AADCC+AEAAEYQPwAAwAjiBwAAGEH8AAAAI4gfAABgBPEDAACMIH4AAIARxA8AADCC+AEAAEYQPwAAwAjiBwAAGEH8AAAAI4gfAABgBPEDAACMIH4AAIARxA8AADCC+AEAAEYQPwAAwAjiBwAAGEH8AAAAI4gfAABgBPEDAACMIH4AAIARxA8AADCC+AEAAEYQPwAAwAjiBwAAGEH8AAAAI4gfAABgBPEDAACMIH4AAIARxA8AADCC+AEAAEYQPwAAwAjiBwAAGEH8AAAAI4gfAABgBPEDAACMIH4AAIARxA8AADCC+AEAAEYQPwAAwAjiBwAAGGGR+Kmqz1TVRlW9UlUPnMf6z1bV96rqWFXdX1VvX2IOAACAM9m70PMcTfLFJAeTrJ1tYVUdTHJrko9uft5DSe7a3AYA5+Xhx4/knkeeytEXjufqq9Zyy8Frc9MN16x6LAAuYou889Pdh7r74SQ/PI/lv5nkvu4+3N3/kuQPk3xqiTkAmOHhx4/ktkNP5sgLx9NJjrxwPLcdejIPP35k1aMBcBFbxTk/1yV5Ysv9J5Lsr6p3r2AWAC5B9zzyVI6/euJ1246/eiL3PPLUiiYC4FKwivi5IsmxLfdP3X7ndour6ubN84k2nn/++Qs+HAAXv6MvHH9D2wEgOY/4qaqvV1Wf4ePRN/GaLyW5csv9U7df3G5xd9/b3evdvb5v37438XIA7DZXX7X96aVn2g4AyXnET3ff2N11ho+PvInXPJzk+i33r0/y/e4+n/OFACC3HLw2a5fted22tcv25JaD165oIgAuBUtd6npvVV2eZE+SPVV1eVWd6UpyX07yW1X1gar6N0luT/LAEnMAMMNNN1yTuz/xoVxz1VoqyTVXreXuT3zI1d4AOKvq7rf+JFV3JvmD0zbf1d13VtWBJN9M8oHufm5z/eeSfD4nL4v91SSf7u5XzvU66+vrvbGx8ZbnBQAAdqeqeqy717d9bIn42SniBwAAOJuzxc8qrvYGAACw48QPAAAwgvgBAABGED8AAMAI4gcAABhB/AAAACOIHwAAYATxAwAAjCB+AACAEcQPAAAwgvgBAABGED8AAMAI4gcAABhB/AAAACOIHwAAYATxAwAAjCB+AACAEcQPAAAwgvgBAABGED8AAMAI4gcAABhB/AAAACOIHwAAYATxAwAAjCB+AACAEcQPAAAwgvgBAABGED8AAMAI4gcAABhB/AAAACOIHwAAYATxAwAAjCB+AACAEcQPAAAwgvgBAABGED8AAMAI4gcAABhB/AAAACOIHwAAYATxAwAAjCB+AACAEcQPAAAwgvgBAABGED8AAMAI4gcAABhB/AAAACOIHwAAYATxAwAAjCB+AACAEcQPAAAwgvgBAABGED8AAMAIi8RPVX2mqjaq6pWqeuAcaz9VVSeq6qUtHzcuMQcAAMCZ7F3oeY4m+WKSg0nWzmP933X3RxZ6bQAAgHNaJH66+1CSVNV6kp9a4jkBAACWtKpzfm6oqh9U1dNVdUdVLfUOFAAAwLZWER3fSPLBJM8muS7JXyT5cZK7t1tcVTcnuTlJDhw4sEMjAgAAu8053/mpqq9XVZ/h49E3+oLd/e3u/k53/6S7n0zyhSS/epb193b3enev79u3742+HAAAQJLzeOenu2+8wDN0krrArwEAAAy31KWu91bV5Un2JNlTVZef6Tyeqvp4Ve3fvP3+JHck+asl5gAAADiTpS54cHuS40luTfLrm7dvT5KqOrD5t3xOnbDzsSR/X1UvJ/lakkNJ/mihOQAAALZV3b3qGc7b+vp6b2xsrHoMAADgIlVVj3X3+naPrepS1wAAADtK/AAAACOIHwAAYATxAwAAjCB+AACAEcQPAAAwgvgBAABGED8AAMAI4gcAABhB/AAAACOIHwAAYATxAwAAjCB+AACAEcQPAAAwgvgBAABGED8AAMAI4gcAABhB/AAAACOIHwAAYATxAwAAjCB+AACAEcQPAAAwgvgBAABGED8AAMAI4gcAABhB/AAAACOIHwAAYATxAwAAjCB+AACAEcQPAAAwgvgBAABGED8AAMAI4gcAABhB/AAAACOIHwAAYATxAwAAjCB+AACAEcQPAAAwgvgBAABGED8AAMAI4gcAABhB/AAAACOIHwAAYATxAwAAjCB+AACAEcQPAAAwgvgBAABGED8AAMAI4gcAABhB/AAAACOIHwAAYIS3HD9V9faquq+qnq2qF6vq8ar6+Dk+57NV9b2qOlZV91fV29/qHAAAAGezd6Hn+Mckv5DkuSS/nOQvq+pD3f3M6Yur6mCSW5N8NMnRJA8luWtzGyzu4ceP5J5HnsrRF47n6qvWcsvBa3PTDdeseizgLXJsw+7juOZCe8vx090vJ7lzy6a/qarvJPm5JM9s8ym/meS+7j6cJFX1h0kejPjhAnj48SO57dCTOf7qiSTJkReO57ZDTyaJL6ZwCXNsw+7juGYnLH7OT1XtT/K+JIfPsOS6JE9suf9Ekv1V9e6lZ4F7HnnqtS+ipxx/9UTueeSpFU0ELMGxDbuP45qdsGj8VNVlOfkuzp9297fOsOyKJMe23D91+51neM6bq2qjqjaef/755YZlhKMvHH9D24FLg2Mbdh/HNTvhnPFTVV+vqj7Dx6Nb1r0tyVeS/CjJZ87ylC8luXLL/VO3X9xucXff293r3b2+b9++c/6DYKurr1p7Q9uBS4NjG3YfxzU74Zzx0903dned4eMjSVJVleS+JPuTfLK7Xz3LUx5Ocv2W+9cn+X53//At/DtgW7ccvDZrl+153ba1y/bkloPXrmgiYAmObdh9HNfshCWu9pYkf5LkZ5P8Ynef673JLyd5oKoeTPLdJLcneWChOeB1Tp0g6coxsLs4tmH3cVyzE6q739oTVP10Tl7V7ZUkP97y0O9094NVdSDJN5N8oLuf2/yczyX5fJK1JF9N8unufuVcr7W+vt4bGxtvaV4AAGD3qqrHunt9u8eWuNT1s0nqLI8/l5MXOdi67UtJvvRWXxsAAOB8LX6pawAAgIuR+AEAAEYQPwAAwAjiBwAAGEH8AAAAI4gfAABgBPEDAACMIH4AAIARxA8AADCC+AEAAEYQPwAAwAjiBwAAGEH8AAAAI4gfAABgBPEDAACMIH4AAIARxA8AADCC+AEAAEYQPwAAwAjiBwAAGKG6e9UznLeqej7Jsws/7XuS/GDh5+TiZF/PYn/PYV/PYV/PYV/PcSH29U93977tHrik4udCqKqN7l5f9RxcePb1LPb3HPb1HPb1HPb1HDu9r/3aGwAAMIL4AQAARhA/yb2rHoAdY1/PYn/PYV/PYV/PYV/PsaP7evw5PwAAwAze+QEAAEYQPwAAwAjiZ1NV/c+q+m5V/d+qerqqfnvVM7G8qnp7Vd1XVc9W1YtV9XhVfXzVc3FhVNVnqmqjql6pqgdWPQ/Lqqp3VdVDVfXy5jH9a6ueiQvDsTyD79GzrOpn77078SKXiLuT/FZ3v1JV70/y9ap6vLsfW/VgLGpvkn9M8gtJnkvyy0n+sqo+1N3PrHIwLoijSb6Y5GCStRXPwvL+OMmPkuxP8uEkf1tVT3T34dWOxQXgWJ7B9+hZVvKzt3d+NnX34e5+5dTdzY9/v8KRuAC6++XuvrO7n+nun3T33yT5TpKfW/VsLK+7D3X3w0l+uOpZWFZVvSPJJ5Pc0d0vdfejSf46yW+sdjIuBMfyDL5Hz7Kqn73FzxZV9d+r6v8l+VaS7yb52opH4gKrqv1J3pfE/xTDpeV9SU5099Nbtj2R5LoVzQMszPfo3W8VP3uLny26+/eSvDPJf0xyKMkrZ/8MLmVVdVmSB5P8aXd/a9XzAG/IFUmOnbbtWE5+DQcucb5Hz7CKn71HxE9Vfb2q+gwfj25d290nNn994qeS/O5qJubNOt99XVVvS/KVnDxf4DMrG5g37Y0c1+xKLyW58rRtVyZ5cQWzAAvyPXqWnf7Ze8QFD7r7xjfxaXvjnJ9Lzvns66qqJPfl5EnSv9zdr17ouVjemzyu2T2eTrK3qn6mu/9hc9v18esxcEnzPXq0HfnZe8Q7P+dSVf+2qv5zVV1RVXuq6mCS/5Lkf696Ni6IP0nys0n+U3cfX/UwXDhVtbeqLk+yJ8meqrq8qkb8p89u190v5+SvSHyhqt5RVT+f5Fdy8n+L2WUcy6P4Hj3AKn/2ru6+0K9x0auqfUn+V07+r+Hbkjyb5L919/9Y6WAsrqp+OskzOfk7pT/e8tDvdPeDKxmKC6aq7kzyB6dtvqu779z5aVhaVb0ryf1JfiknrwJ2a3f/2Wqn4kJwLM/ge/Qcq/zZW/wAAAAj+LU3AABgBPEDAACMIH4AAIARxA8AADCC+AEAAEYQPwAAwAjiBwAAGEH8AAAAI4gfAABghP8P6nmuSFDrBAIAAAAASUVORK5CYII=\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "plt.scatter(tels[:,0], tels[:,1])\n", - "plt.axis('equal')" - ] - }, - { - "cell_type": "code", - "execution_count": 600, - "metadata": {}, - "outputs": [], - "source": [ - "test_dict = array_alt_az_div(1e-15, tels, np.deg2rad(90), np.pi)" - ] - }, - { - "cell_type": "code", - "execution_count": 601, - "metadata": {}, - "outputs": [], - "source": [ - "# tels_dict_4" - ] - }, - { - "cell_type": "code", - "execution_count": 602, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{0: {'THETA': 1.6584194253914148, 'PHI': 1.4839569015487445e-29},\n", - " 1: {'THETA': 1.6584194253914148, 'PHI': 90.00000000000013},\n", - " 2: {'THETA': 1.6584194253914148, 'PHI': 180.0},\n", - " 3: {'THETA': 1.6584194253914148, 'PHI': 269.9999999999999},\n", - " 4: {'THETA': 3.31406463024922, 'PHI': 7.419784507743715e-30},\n", - " 5: {'THETA': 3.31406463024922, 'PHI': 90.00000000000006},\n", - " 6: {'THETA': 3.31406463024922, 'PHI': 180.0},\n", - " 7: {'THETA': 3.31406463024922, 'PHI': 269.99999999999994},\n", - " 8: {'THETA': 4.681582347240919, 'PHI': 45.00000000000003},\n", - " 9: {'THETA': 4.681582347240919, 'PHI': 224.99999999999997},\n", - " 10: {'THETA': 4.681582347240919, 'PHI': 314.99999999999994},\n", - " 11: {'THETA': 4.681582347240919, 'PHI': 135.00000000000003}}" - ] - }, - "execution_count": 602, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "test_dict" - ] - }, - { - "cell_type": "code", - "execution_count": 603, - "metadata": {}, - "outputs": [], - "source": [ - "tel_fake[14]['THETA'] = 23.4\n", - "tel_fake[14]['PHI'] = 180" - ] - }, - { - "cell_type": "code", - "execution_count": 604, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "1.6584194253914148 4.681582347240919\n", - "7.419784507743715e-30 314.99999999999994\n" - ] - }, - { - "data": { - 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "fig = polar_stuff(plt.figure(figsize=(10,8)), test_dict)\n", - "#plt.xlabel(\"test\", fontsize=100)\n", - "plt.title(\"Pointing of MSTs: cfg 4\", fontsize=15, y=1.05)\n", - "#plt.title(\"test\",fontsize=50)\n", - "\n", - "# plt.savefig(\"fov-scale-cfg-4_180_sphere.jpg\", bbox_inches='tight')\n", - "plt.draw()\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "DISCLAIMER: this plot is almost ok. There must be some projection that I haven't taken into account when plotting the circle centers. " - ] - }, - { - "cell_type": "code", - "execution_count": 475, - "metadata": {}, - "outputs": [], - "source": [ - "from ipywidgets import interactive, FloatLogSlider, FloatSlider" - ] - }, - { - "cell_type": "code", - "execution_count": 546, - "metadata": {}, - "outputs": [], - "source": [ - "def p(alt, az):\n", - " x = np.cos(alt)*np.cos(az)\n", - " y = np.cos(alt)*np.sin(az)\n", - " z = np.sin(alt)\n", - " return np.array([x, y, z])\n", - "\n", - "def alpha(p1, p2):\n", - " return np.arccos(np.dot(p1, p2))" - ] - }, - { - "cell_type": "code", - "execution_count": 543, - "metadata": {}, - "outputs": [], - "source": [ - "p_mean = p(np.deg2rad(70), np.deg2rad(180))" - ] - }, - { - "cell_type": "code", - "execution_count": 547, - "metadata": {}, - "outputs": [], - "source": [ - "a = [alpha(p_mean, p(np.deg2rad(90-test_dict[t]['THETA']), np.deg2rad(test_dict[t]['PHI']))) for t in test_dict]" - ] - }, - { - "cell_type": "code", - "execution_count": 556, - "metadata": {}, - "outputs": [], - "source": [ - "dist_tels_center = np.sqrt((tels**2).sum(axis=1))" - ] - }, - { - "cell_type": "code", - "execution_count": 561, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0, 0.5, 'alpha')" - ] - }, - "execution_count": 561, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "# plt.hist(a)\n", - "plt.plot(dist_tels_center, a)\n", - "plt.xlabel('distance from tel to center')\n", - "plt.ylabel('alpha')" - ] - }, - { - "cell_type": "code", - "execution_count": 630, - "metadata": {}, - "outputs": [], - "source": [ - "def plot_f(div):\n", - " div = 10**(div)\n", - " \n", - " mean_alt = np.deg2rad(90)\n", - " mean_az = np.pi\n", - " \n", - " test_dict = array_alt_az_div(div, tels, mean_alt, mean_az)\n", - " fig = polar_stuff(plt.figure(figsize=(10,8)), test_dict)\n", - " plt.title(\"Pointing of MSTs: cfg 4\", fontsize=15, y=1.05)\n", - " plt.draw()\n", - " plt.show()\n", - " \n", - " \n", - " dummy_test = test_dict\n", - " # instead of tel_dict_4, you can use tel_dummy\n", - " polygons = {}\n", - " for key, value in dummy_test.items():\n", - " polygons[key-1] = Point(value['PHI'], value['THETA']).buffer(7.7/2)\n", - "\n", - " xrange = [160, 210]\n", - " yrange = [-10, 10]\n", - " \n", - " rings = [LineString(list(pol.exterior.coords)) for pol in polygons.values()]\n", - " union = unary_union(rings)\n", - " result = {counter:geom for counter, geom in enumerate(polygonize(union))}\n", - "\n", - " ori = list(polygons.values())\n", - " res = list(result.values())\n", - " \n", - " dict_count_overlaps = {}\n", - " for i in range(len(res)):\n", - " dict_count_overlaps[i] = 0\n", - " for j in range(len(ori)):\n", - " if np.isclose(res[i].difference(ori[j]).area, 0):\n", - " dict_count_overlaps[i] +=1\n", - " #print(f\"res_{colors[i]}, orig_{j+1}\")\n", - " \n", - " \n", - " max_multiplicity = max(dict_count_overlaps.values())\n", - "\n", - " cmap = plt.cm.get_cmap('rainbow')\n", - " color_list = cmap(np.linspace(0, 1, max_multiplicity))\n", - " bounds = np.arange(max_multiplicity + 1) + 1\n", - " \n", - " fig = plt.figure()\n", - " gs = mpl.gridspec.GridSpec(1, 2, width_ratios=[0.95, 0.05])\n", - "\n", - " ax = plt.subplot(gs[0])\n", - " ax_cb = plt.subplot(gs[1])\n", - "\n", - " fig.subplots_adjust(top=0.85)\n", - "\n", - " for pol_id, pol in result.items():\n", - " colore = dict_count_overlaps[pol_id]\n", - " ax.add_patch(\n", - " PolygonPatch(mapping(pol), color=color_list[colore-1])\n", - " )\n", - "\n", - " norm = mpl.colors.BoundaryNorm(bounds, cmap.N)\n", - "\n", - " cb1 = mpl.colorbar.ColorbarBase(ax_cb, \n", - " norm=norm, \n", - " cmap=cmap, \n", - " boundaries = bounds,\n", - " orientation='vertical')\n", - " cb1.set_ticks(np.arange(max_multiplicity + 1) + 0.5) \n", - " cb1.set_ticklabels(np.arange(max_multiplicity + 1) + 1)\n", - "\n", - " ax.set_xlim(*xrange)\n", - " ax.set_ylim(*yrange)\n", - " ax.set_aspect(1)\n", - " plt.show()\n", - " \n", - " hfov = []\n", - " for patchsky in res:\n", - " hfov.append(patchsky.area)\n", - "\n", - " hfov = np.array(hfov)\n", - " # multiplicity associated with each patch\n", - " overlaps = np.array(list(dict_count_overlaps.values()))\n", - " average_overlap = np.average(overlaps, weights=hfov)\n", - " variance = np.average((overlaps-average_overlap)**2, weights=hfov)\n", - " print(average_overlap, variance, np.sqrt(variance))\n", - " \n", - " plt.figure()\n", - " plt.bar(list(set(overlaps)), [hfov[overlaps==i].sum() for i in set(overlaps)])\n", - " plt.ylabel('HFOV')\n", - " plt.xlabel('multiplicity')\n", - " plt.show()\n", - " \n", - " return hfov, overlaps" - ] - }, - { - "cell_type": "code", - "execution_count": 634, - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "ad71ece0324f43c99d1f40eb98f9abb0", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "interactive(children=(FloatSlider(value=-4.0, description='div', max=-4.0, min=-50.0, step=1.0), Output()), _d…" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "interactive(plot_f, div=FloatSlider(min=-50, max=-4, step=1, continuous_update=True))" - ] - }, - { - "cell_type": "code", - "execution_count": 494, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "data": { - "image/png": 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\n", 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LZy3htC/JQ1d57OQkX1y/cQAAABbPWsLpd5K8saruO72xqu6X5A1JLtuIwQAAABbFWq6q97IkpyT5eFV9OP96Vb3HJPmTyeMAAACb1vCIU3ff1t3/OclTk/xVkpsmfz61u5/a3bdt8IwAAABzNTziVFXf2N3Xd/efZOkIEwAAwJayls84XT19p6ou36BZAAAAFtJawqmW3T9tA+YAAABYWGsJp97wKQAAABbYWq6qt62q/kP+9cjT8vvp7j/diOEAAAAWwVrC6QtZ+r6mA7647H4nOWk9hwIAAFgkw3Dq7h0zmAMAAGBhDT/jVFUfqKo/P9jPWl6oqs6tqt1VdWtVvWnZY6dX1Uer6p+r6n1VdeJB9nNsVb2jqm6qquuq6vvX8voAAAB31lpO1futqduV5KIkL7gTr/W5JK9M8qQk9/jaDquOS3J5kh9O8q4kr0jytiTftsp+LkpyW5LjkzwiyRVVdVV377kTMwEAAAyt5VS9S6fvV9Vrl29bi+6+fPL8nUnuP/XQ9ybZ091vnzy+K8m+qjq5uz+67LWPTHJmkod39/4kH6yqdyZ5VpLz7uhMAAAAa7GWy5FvtFOSXHXgTnfflOQTk+3LPSTJ7d09/aW8V62yFgAAYF0sQjgdleSGZdtuSHLPu7g2VXXO5HNVu/fu3XuXBwUAALam4al6VfUflz9nnb/HaX+So5dtOzrJjXdxbbr74iQXJ8nOnTt9kS8AAHCnrOXiEJcsu7/e3+O0J8lzDtyZfI7pgZPty12dpXB7cHf/38m2U1dZCwAAsC7WcnGIb1qPF6qqbZPXOyzJYVV1RJKvJHlHkl+oqjOTXJHkpUk+svzCEJNZbqqqy5NcWFU/nKWr6j0tyWPXY0YAAICVzPIzTucnuTlLV787e3L7/O7em6Ur5f1ski8neUySZx54UlW9pKqunNrPC7J0OfMvJHlrkue7FDkAALCR1nKq3rro7l1Jdq3y2HuTnLzKY69adv9LSZ6+zuMBAACsahGuqgcAALDQhBMAAMCAcAIAABgQTgAAAAPCCQAAYEA4AQAADAgnAACAAeEEAAAwIJwAAAAGhBMAAMCAcAIAABgQTgAAAAPCCQAAYEA4AQAADAgnAACAAeEEAAAwIJwAAAAGhBMAAMCAcAIAABgQTgAAAAPCCQAAYEA4AQAADAgnAACAAeEEAAAwIJwAAAAGhBMAAMCAcAIAABgQTgAAAAPCCQAAYEA4AQAADAgnAACAAeEEAAAwIJwAAAAGhBMAAMCAcAIAABgQTgAAAAPCCQAAYEA4AQAADAgnAACAAeEEAAAwIJwAAAAGhBMAAMCAcAIAABgQTgAAAAPCCQAAYEA4AQAADAgnAACAAeEEAAAwsG3eA2xFO867Yt4j3CXXvuaMeY8AAAAz5YgTAADAgHACAAAYEE4AAAADwgkAAGBAOAEAAAwsRDhV1f5lP7dX1a+vsva5k8en158245EBAIAtZCEuR97dRx24XVVHJvl8krcf5Cl/2d3fueGDAQAAZEGOOC3zjCRfSPKBeQ8CAACQLGY4PSfJm7u7D7LmkVW1r6qurqoLqmohjpwBAACb00IFR1WdkOQJSX7oIMv+PMnDk1yX5JQkb0vylSSvXmF/5yQ5J0lOOOGE9R4XmNhx3hXzHuEuufY1Z8x7BABgwS3aEadnJ/lgd1+z2oLu/mR3X9PdX+3uf0hyYZZO71tp7cXdvbO7d27fvn2DRgYAADa7RQynS+/gczpJbcAsAAAASRYonKrqsUnul4NfTS9V9eSqOn5y++QkFyT5g42fEAAA2KoWJpyydFGIy7v7xumNVXXC5LuaDnxI6fQkH6mqm5L8UZLLk7xqtqMCAABbycJcHKK7n7fK9k8lOWrq/ouSvGhWcwEAACzSEScAAICFJJwAAAAGhBMAAMCAcAIAABgQTgAAAAPCCQAAYEA4AQAADAgnAACAAeEEAAAwsG3eAwAAzNKO866Y9wh3ybWvOWPeI8CW5IgTAADAgHACAAAYEE4AAAADwgkAAGBAOAEAAAwIJwAAgAGXI4cN4FK3AACbiyNOAAAAA8IJAABgQDgBAAAMCCcAAIABF4dgJlwsAQCAQ5kjTgAAAAPCCQAAYEA4AQAADAgnAACAAReHAIAtzgV8AMYccQIAABgQTgAAAAPCCQAAYEA4AQAADAgnAACAAeEEAAAwIJwAAAAGhBMAAMCAcAIAABgQTgAAAAPCCQAAYEA4AQAADAgnAACAAeEEAAAwIJwAAAAGhBMAAMCAcAIAABgQTgAAAAPCCQAAYEA4AQAADAgnAACAAeEEAAAwIJwAAAAGhBMAAMCAcAIAABgQTgAAAAPCCQAAYGBhwqmq3l9Vt1TV/snPxw6y9ier6vqquqGq3lBVd5/lrAAAwNayMOE0cW53HzX5eehKC6rqSUnOS3J6kh1JTkry8tmNCAAAbDWLFk5r8Zwkl3T3nu7+cpJXJHnufEcCAAA2s0ULp1dX1b6q+lBVnbbKmlOSXDV1/6okx1fVvTd8OgAAYEtapHD6mSyddne/JBcneVdVPXCFdUcluWHq/oHb91y+sKrOqardVbV779696z0vAACwRSxMOHX3h7v7xu6+tbsvTfKhJE9ZYen+JEdP3T9w+8YV9nlxd+/s7p3bt29f/6EBAIAtYWHCaQWdpFbYvifJqVP3T03y+e7+4kymAgAAtpyFCKeqOqaqnlRVR1TVtqo6K8njk7xnheVvTvJDVfXNVXWvJOcnedMMxwUAALaYhQinJIcneWWSvUn2JfmxJE/v7o9V1QmT73U6IUm6+91Jfj7J+5JcN/l52XzGBgAAtoJt8x4gSbp7b5JHr/LYp7J0QYjpba9N8toZjAYAALAwR5wAAAAWlnACAAAYEE4AAAADwgkAAGBAOAEAAAwIJwAAgAHhBAAAMCCcAAAABoQTAADAgHACAAAYEE4AAAADwgkAAGBAOAEAAAwIJwAAgAHhBAAAMCCcAAAABoQTAADAgHACAAAYEE4AAAAD2+Y9AACLbcd5V8x7hLvk2tecMe8RANgEHHECAAAYEE4AAAADTtUDAGDTcHoxG8URJwAAgAHhBAAAMCCcAAAABoQTAADAgHACAAAYEE4AAAADwgkAAGBAOAEAAAwIJwAAgAHhBAAAMCCcAAAABoQTAADAgHACAAAYEE4AAAADwgkAAGBAOAEAAAwIJwAAgAHhBAAAMLBt3gMAHGp2nHfFvEe4S659zRnzHgEADjnCCQBgE/OPPbA+nKoHAAAwIJwAAAAGhBMAAMCAcAIAABgQTgAAAAPCCQAAYEA4AQAADAgnAACAAeEEAAAwIJwAAAAGhBMAAMCAcAIAABhYiHCqqrtX1SVVdV1V3VhVf19VT15l7XOr6vaq2j/1c9qMRwYAALaQbfMeYGJbkk8neUKSTyV5SpLfrapv6e5rV1j/l939nTOcDwAA2MIWIpy6+6Yku6Y2/WFVXZPkUUmuncdMAAAAByzEqXrLVdXxSR6SZM8qSx5ZVfuq6uqquqCqFiIAAQCAzWnhgqOqDk9yWZJLu/ujKyz58yQPT3JdklOSvC3JV5K8eoV9nZPknCQ54YQTNmpkADaRHeddMe8R7rJrX3PGvEcA2HQW6ohTVd0tyVuS3Jbk3JXWdPcnu/ua7v5qd/9DkguTPGOVtRd3987u3rl9+/YNmxsAANjcFuaIU1VVkkuSHJ/kKd39L2t8aiepDRsMAADY8hbpiNPrkzwsyVO7++bVFlXVkyefgUpVnZzkgiR/MJsRAQCArWghwqmqTkzyvCSPSHL91PcznVVVJ0xuH/iQ0ulJPlJVNyX5oySXJ3nVfCYHAAC2goU4Va+7r8vBT7c7amrti5K8aMOHAgAAmFiII04AAACLTDgBAAAMCCcAAIAB4QQAADAgnAAAAAaEEwAAwIBwAgAAGBBOAAAAA8IJAABgQDgBAAAMCCcAAIAB4QQAADAgnAAAAAaEEwAAwIBwAgAAGBBOAAAAA8IJAABgQDgBAAAMCCcAAIAB4QQAADAgnAAAAAaEEwAAwIBwAgAAGBBOAAAAA8IJAABgQDgBAAAMCCcAAIAB4QQAADAgnAAAAAaEEwAAwIBwAgAAGBBOAAAAA8IJAABgQDgBAAAMCCcAAIAB4QQAADAgnAAAAAaEEwAAwIBwAgAAGBBOAAAAA8IJAABgQDgBAAAMCCcAAIAB4QQAADAgnAAAAAaEEwAAwIBwAgAAGBBOAAAAA8IJAABgQDgBAAAMCCcAAIAB4QQAADAgnAAAAAaEEwAAwMDChFNVHVtV76iqm6rquqr6/oOs/cmqur6qbqiqN1TV3Wc5KwAAsLUsTDgluSjJbUmOT3JWktdX1SnLF1XVk5Kcl+T0JDuSnJTk5bMbEwAA2GoWIpyq6sgkZya5oLv3d/cHk7wzybNWWP6cJJd0957u/nKSVyR57syGBQAAtpyFCKckD0lye3dfPbXtqiRfd8Rpsu2qZeuOr6p7b+B8AADAFlbdPe8ZUlWPS/L27v7GqW0/kuSs7j5t2dpPJPnR7n735P7hWTrF75u6+9pla89Jcs7k7kOTfGyjfgfm7rgk++Y9BBvG+7u5eX83P+/x5ub93dy22vt7YndvX+mBbbOeZBX7kxy9bNvRSW5cw9oDt79ubXdfnOTi9RiQxVZVu7t757znYGN4fzc37+/m5z3e3Ly/m5v3918tyql6VyfZVlUPntp2apI9K6zdM3lset3nu/uLGzgfAACwhS1EOHX3TUkuT3JhVR1ZVd+R5GlJ3rLC8jcn+aGq+uaquleS85O8aWbDAgAAW85ChNPEC5LcI8kXkrw1yfO7e09VnVBV+6vqhCSZfLbp55O8L8l1k5+XzWlmFodTMjc37+/m5v3d/LzHm5v3d3Pz/k4sxMUhAAAAFtkiHXECAABYSMIJAABgQDhxyKqqu1fVJVV1XVXdWFV/X1VPnvdcrL+qenBV3VJVvz3vWVhfVfXMqvo/VXVTVX1i8r1+bBJVtaOq/qiqvlxV11fV66pqUb4KhTuoqs6tqt1VdWtVvWnZY6dX1Uer6p+r6n1VdeKcxuROWu39rapvq6o/rqovVdXeqnp7Vd1njqPOjXDiULYtyaeTPCHJv0lyQZLfraodc5yJjXFRkr+Z9xCsr6r67iQ/l+QHktwzyeOTfHKuQ7HefiNLF326T5JHZOm/1y+Y60TcFZ9L8sokb5jeWFXHZenqyBckOTbJ7iRvm/l03FUrvr9J7pWlC0TsSHJilr479Y0znWxB+FcfDlmTy9jvmtr0h1V1TZJHJbl2HjOx/qrqmUn+KclfJHnQnMdhfb08yYXd/VeT+5+d5zBsiG9K8rruviXJ9VX17iSnzHkm7qTuvjxJqmpnkvtPPfS9SfZ099snj+9Ksq+qTu7uj858UO6U1d7f7r5yel1VvS7Jn812usXgiBObRlUdn+QhWfmLkzkEVdXRSS5M8lPznoX1VVWHJdmZZHtVfbyqPjM5jese856NdfWrSZ5ZVd9QVfdL8uQk757zTKy/U5JcdeDO5B82PxGRvFk9Plv0/2sJJzaFqjo8yWVJLvWvW5vKK5Jc0t2fnvcgrLvjkxye5BlJHpel07gemaUvNWfz+LMs/Z/n/5fkM1k6hev35zoRG+GoJDcs23ZDlk7BZROpqm9N8tIkL573LPMgnDjkVdXdkrwlyW1Jzp3zOKyTqnpEku9K8svznoUNcfPkz1/v7n/s7n1JXpvkKXOciXU0+W/ze7L02ZcjkxyXpc9K/Nw852JD7E9y9LJtR2fpszBsElX1oCRXJnlhd39g3vPMg3DikFZVleSSLP3r9Znd/S9zHon1c1qWPoj6qaq6PsmLkpxZVX83z6FYH9395SwdgfAt7JvXsUkekKXPON3a3V/M0gfKxfHmsyfJqQfuVNWRSR6YLXo612Y0uUrie5O8orvfMu955kU4cah7fZKHJXlqd988Wswh5eIs/cX7iMnPbya5IsmT5jkU6+qNSX6sqv5tVd0ryU8k+cM5z8Q6mRxFvCbJ86tqW1Udk+Q5mfosDIeWyft4RJLDkhxWVUdMLi//jiQPr6ozJ4+/NMlHnDp/aFnt/Z18PvFPk1zU3b853ynnq7r9Yx+Hpsm/flyb5FV1FbUAAAPKSURBVNYkX5l66HndfdlchmLDTK7S9KDuPnves7A+Jp9N/NUk35/kliS/m+SnJ1dgYxOYnHL7K1k6GnF7kvcl+dHu/sJcB+NOmfx3+GXLNr+8u3dV1XcleV2WLlf94STP7e5rZzshd8Vq72+WzgzYleSm6Qe6+6iZDLZAhBMAAMCAU/UAAAAGhBMAAMCAcAIAABgQTgAAAAPCCQAAYEA4AQAADAgnAA5pVbWrqn77II+fVVX/c437em5VfXDq/v6qOmnwnBMm6w5b+9QAHGqEEwCbRlXtqKquqm0HtnX3Zd39xDuzv+4+qrs/OVjzqcm62yczvL+qfvjOvB4Ai0s4AQAADAgnAOaiqq6tqhdX1Ueq6qaquqSqjq+qK6vqxqp6b1Xdq6pOq6rPrPDc71pht38++fOfJqfPffsKp991Vf14VX2yqvZV1S9U1Yp/H07WPmhy+x5V9UtVdV1V3VBVH5xs+9pRrqr62SSPS/K6yeu/rqouqqpfWrbfd1XVT9yV//0AmC3hBMA8nZnku5M8JMlTk1yZ5CVJjsvS31E/fgf39/jJn8dMTp/7y1XWfU+SnUn+XZKnJfnBNez7F5M8Ksljkxyb5KeTfHV6QXf/9yQfSHLu5PXPTXJpku87EGdVdVyS05O89Y78YgDMl3ACYJ5+vbs/392fzVJwfLi7/767b03yjiSP3KDX/bnu/lJ3fyrJryT5voMtnkTPDyZ5YXd/trtv7+6/mMx5UN3910luyFIsJckzk7y/uz9/134FAGZJOAEwT9PxcPMK94/aoNf99NTt65Lcd7D+uCRHJPnEnXy9S5OcPbl9dpK33Mn9ADAnwgmARXdTkm84cGdy2e/tq6ztNe7zAVO3T0jyucH6fUluSfLANex7pRl+O8nTqurUJA9L8vtrGRKAxSGcAFh0Vyc5oqrOqKrDk5yf5O6rrN2bpc8dHfS7l5K8eHLhiQckeWGStx1scXd/Nckbkry2qu5bVYdNLjyx0hyfX/763f2ZJH+TpSNNv9fdNw/mA2DBCCcAFlp335DkBUl+K8lns3QE6jOrrP3nJD+b5ENV9U9V9W2r7PYPkvxtkv+V5Iokl6xhlBcl+YcsBdCXkvxcVv579FeTPKOqvlxVvza1/dIk3xKn6QEckqp7rWc1AMChr6o6yYO7++Mzft3HZ+mUvR2TI1gAHEIccQKADTY5xfCFSX5LNAEcmoQTAGygqnpYkn9Kcp8sXfocgEOQU/UAAAAGHHECAAAYEE4AAAADwgkAAGBAOAEAAAwIJwAAgAHhBAAAMPD/AUmeBvvZtEckAAAAAElFTkSuQmCC\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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F/Ffgl4FjwIdIc05bVg1T7v4MSw+JLfjACq/9rau+ngRe1XLvRETa4AnMnoXJJ6E8DrU5qM+lf1anoTrVfMxAXIdcF+R7odgHhQEo9EKuu3m8G3r2wODtUOjb6jtbWVSD+vzle134exKn97JwPwv3lu0AW+n/7lssqsHU0+mjOn3lvVUmL7+HteZciHxv+t4V+qE4cOW9Fvqg/2D6yOS39r5ERGTruPs3SEejADCzfwDe2257rWzaKyJyQ6pMwvjjMPEEjD0KF78O40/A3FkIshBm02DlMSQRxA0ur+xcgYXpay0DQXMydKMCmQL07Yfho7D9Phg8nD4Gbt/4D+hJDLOn03udeAJGvwkXv5EGjfp8Gjzw9L6DDAQh1/4azNPvRxJD0kj/DHNpqOreBduOwsh9MHQkva/+Q5Atbux9ucPMqSXu6ziUJ5qBL2i+hwv9bmWLeK78XliY3nujDB2D6b2N3APbnnP5fezde2OHSxERuX5mdg9pLYeAdNbcDuA97banMCUizxrzF+GZz8FTn4CnPwXzo5AtpB+S6yWuCEpJA1r8zH0NjyGKrz1eb6Qf9ke/Cd/+C8h0pNeMa2nAuv0fw8Hvhd0PpMGrXUkE578KJz4NT/9dGjLmz6fBJ8im14uqS782rqWPVi08vzoFY9+Cb384DTDuafBYGNHZ8x1w8Pth73eloz/tck+D78nPwBMfg9NfSN+/5e6rfh31XpNG+rhaaTR9nPli+j6F+XSEMsjAnu+Ew6+E/S9P31OFKxGRm87rgZ8BssDfA9/n7hs3zU9EZKtcHZ5KY2mgWPwBu1bfmr4lEdRnL3994etw8Vvwlf+aBoLho3D7K+Hg96werhaHpyc+Bucfuhwu4vqVz9toSQS1RfdVmUgf5x+Cr78HGlXo3w+3vQIONcNVfqnNMJquCU//0BwtTCCqLP+6zRJVrwxwxz8Jz/yvdDTMAtj74vR9PPByGLpT4UpE5NnO3X8J+KX1ak9hSkRuKKUxeOSDcOwdMHn82vC0llGXzeaLgsilcPV76RS8Q98Pz//Z9M8we/k+v/U/lglPy4w8bRVPLt/bxBMw+RR8/d3p9Mf+A3D4R+Den4KR56TPufgN+Nq74BvvT+//RglPrVjcz6c+ASc/lwarTCG9x/v++eX7FBGRW5vClIhsuUYZHv+rNECd+XK6xqVRTs/dyOFpNYvD1RN/DSc+7TRKRuNoQuOC0V2FuNwc6rjBwtNqrg5XX34bfP5Bp7rb6Rs1kjnw2DZlNG2jLYSrRikdeXzoD6FzJA3H97wWenZvbf9ERGTrKEyJyJZI4nRa20MPwpMfS0dmFkaglliu9OyXcWoViIvO6YJTfp4TxDBwFvrPBOTLz875Y3HGmR5xpvY7lQ7IRNCYhp7IsMCxFYvBPvskUfqYPgGffUv62HYX3P9zcPSfXd96MhERefZRmBKRTRXX4eH3wWd/Ix3ZqM83TzzLRmZaEjiJQVSEsV3OzA4nWlT1Lwlh/ACM7U3omoVtjwd0zjw7wkcj54zdljCxM614GNvCcTj1HMeOOt3jMHw2oDjRrC7YeHbcW6vi5s/s+YfgE78In/hX8Lw3wnf9MnRt39q+iYjI5lCYEpFNUS/BQ/8N/v630jU0jdJW92gDhU7iMLvDubjfqXUt/9QEIIS5fii9IKFQhpHHA7omuCFHdWpFZ/RwwvRws9w4S48kegizIzA7khA2oP+sMfJ0WofWbrJQBZd/no/9QfpzfvdPwHe/OV1PJiIiNy+FKRHZUJVJ+OLvpmtqFvb5uWll0hA1tScNUdEa955KQih3wzPPTcjWYOQJo/ei3RChqtLljB5JmO0HmiGqhS27AIizML7fmdjr9J01th+HTAwWbf19rbeFAiLfeD986wNp1cOX/yZsu3tr+yUiIhtDYUpENkR1Gj7zG/DV/w748vsi3RSyTuxpYBjf68TZ62suCaHWAWfvcc43nJHHjf7zLYSqwNOhn+By0PHmXxZKehukJxOaQ0ort1npds4fTSh1cylEtcuDNGhO7XZ6L8CO4wGZGgQ3YahaWFv1+EfTioC7H4AffFu6UbCIiNw8FKZEZF15ku5H9Ml/nU7nezZX41tVxokNLh50JvY4Hq5v843QqfY4Y9/rJIFz9/8MGbgYpiHIIOqAWqdTz0GUgSQDcZj+mYR+6WsMghiCCMLYCKLLX2diJ9uAfMnIlCCM0il6jQ7n69/ToNxr5CtGYd7IrFfoMZjZATPbE7omYOdTAbnSzRmqFkrCn/wM/NEDcO/r4Xv/kwpViIjcLBSmRGTdnP8a/OUbYOrpm3xNlKWFJSb2OhcOrl+ISsyp9Djz/Qnz2xLKHU7g6ahSbHDucMzQ6YCR4xksaDd4LDe21DweO7ODMafvjvEMBAYk6fVzdeieDOgcD+icDq4/XBnMD8ETgwk9F2H3twMyCXAThipIQ9XX3wvf+mA6SnXvG7QJsIjIs53ClIhct8oUfOqX4Jt/+uzZmLVdSehU++DUnQn1zutry80pdzulgYS5ReHJw2ZhCq4s7uAZmDiQMLGnzo4nQvovhOu6nqrSlXDmroh60YmD9NhCgQyAWgFqOxOmtyfEXBmuuqYDwnZDkMHsdvj2cMKO48bAM+mMRfzmSxpxc7T242+CL70NXvVe2H7vVvdKRETapTAlIm271ab0RQGcOZowu43Vlhoty3HKPc707pipoQSz5cPTUmKADJy/I2ZiX8LuRzIU54P2OrPQZsa5cHvE1LaEpIVRtqh5uavDVdec0X86pGc8IEjW/g3yEM4ddsZ3OXsfDSjM+k059Q/SkduLD8M7vwPueR1833+CQt9W90pERNZKYUpE2lIagz/7p3DuoVtjSt/4XufidUzpqxUTpnbGTO5IA4tfZzGHOIBKp3P8+Q1GngkZOtneKFWpN+HkPQ3IXg50a7UQruZ6nUp3xGmHvsmAvjMhXVNrr0ZY74Sn7r91pv49/D547CPwmo/Cnu/c6h6JiMhaKEyJyJqd/Bx86MegNgdJY6t7s4EyTi0PJ57b3pS+KOtMjcRM7U6o5R0L2w8sy0lCGN0fMzeYsPcbWTIt7uHkOGMHYkb3xi2NRrVqIVhNDSfMDiTg0H8xoP9MSLG0hhG0hal/Qwl7Hjd6zkMQ35yBKq5BuQbv+154yf8DL/lVsOsbbBQRkU2iMCUiLUti+Ny/hX/4nVtjbdT0TufsEcfX+MG2nnfGD0RMjCQEQVq8Aa5vJGolcQDlXufxB+rs+2aWrumVO9zIOqfubVDtcpIN/NAeN0PaxK6Eye0JHSVj5MkMnTOtX9QzcOoup3fA2fNIQJBwU66lgvS/qc//B3jqk/C/fRg6t211j0REZDUKUyLSkrnz8MF/AqPfvMmDVJBO6zv1nITZkbW9tNqRMHYwZnoowZp7Pa22Bmq9JABZOHlvg22nQ4afXnra31x/wqnnNPDM+o+SLcdJpzXO9zjl+xrkq8bIUyHdE0HLUwBndkClN+HA1wLyVb9pp/01ynD2K/D2O+DH/wIOvHyreyQiIitRmBKRVT31t/DnPw71Eni01b1ZXpxxah3QKELc3GcpCdPjSR6SHMSZ9BEkzX2XGhDUoZZz5oYSMnVjapcD6f5K2SqrfuAvdyeMHoqY6/NLG+Zu1CjUapIQxvbGzA2k0/6y9bTvbs7FQxHju1orMrGR/at0OqeeE5Gpw8jxkL7REFtltCnKOKXtztiPxnSPQa4C5gG9o4bnIc5d3mcrSCBopHtmBTUI6kZ4aZ8tyNSNfAkytdXf262QNKA6BX/6j+GBX4SX/zsItvA9ExGR5SlMiciKvvi78OlfvXFGoxJz6h1Q60w3rK31OdUuqOUgCSD0dL2JWxpoWhl9KXcnnLivgQfpa62ZhhIgMcg1oFAx8rNGpmY08glhw5gbSihftfmqW3NaYNAMVqFDCEnGcXMssXTtTwwW26WLWJJekyDdeyhwSNqoiAfNaX89zhMvqnPwq1nyFePkcxtUuq9vWp9Zek8JXB5yC8CvulcPnSR08HSdkzUf6b2CJUYMJAXj9F0xp++KCSNn+ERIlHfCyHCg0QuVolPPO27pe4ulj8TBHUZOhGw7tdo/ZU5w+aV44rinPyPZOhQqkJ+CQsnIlZpB6wYY+Yoq8OX/Ame+BD/5Mch2bHWPRESuVc7nePjwvq3uxpZRmBKRJbmne0cde8fWBqkkcMq9MDeYML8dqsU0aFhzLdLVI0BrnVY3OxBz6jnRlaM1V32Oruedeh7oW3y19O/lwTrl4YiomJBkve2S6QtNhnUjrAZkqgH5ckCuEmJVwxoGIQSAt1CIwYE4C0++sE62bunITYt9syANL56AB+D5hKiYUOtIiAqXH1zPeisHiyGsBRTHM3RfyHPh9uTyySvuJO34FYOizXsZPRgTF53tj2dWHGW6IlQv6ne9kD7ohxCHOJ3mmWlA9wR0jQZ0TdJyYY/11ijDmS+mJdTf8BkoDmxJN0REZBkKUyJyjSSCj/wUPP7R9MPcpl67GZ7mB535EafSkX72TYLLH7HXax3S5EjE2TviJcqdNyvvJZDknVpvRKU3IirG9G6rsmukTGhQroRQy+DzOeYqGUKD9PN4+5vXxnknzsfUe2Ou+NYnkKkFZMoBHTMhuZkM1jCCYPlwFeUSpm6rMPTtjhWn0Vngl8JG1BNT6o1odMVEhQTfgH8lDAhDJzbIddbp2FMiX2xQq4RcmOrAHLwRkKkE5OZDOqYzhPNBOmqYgC+6lySAyR0JjXzEnm9mVp0uuJIYLm1Q3MjD5E6Y3ZEQ++Vw1T0a0LnJ4Sqqwti34Q+fC//889C7Z9MuLSIiq1CYEpErNMrwgR9Jfxu+WUHKzZkbhKl9CbP9ENjGhKfFxvZGXDxwOUhZ6NeEp3p3fClMFPMRt+8okc/Fl8pWd3TGdHTGMFDDHaq1kLlyhlIzXAUGUZtT9a4RQFRMR4iqgxFQI2gYudlwyXDVKMZMHC3jGRi/q8zgtzsIYgAjCPzS93QhPNV7YqJicn0jayvImBM7FPMx3Z0NujobdBYjgsWjW90RAwN1zo92MDWXo5516j0x8zvr4JAtBeRnM9eEqzgw5gYTTjyvwf6vZdvaMHg5UXNu4NXhqlCB/pNG30XblGCVNGD2bDNQ/S8YPrrhlxQRkRYoTInIJZVJeN/3wNhjEFc39lqOU+mFqb0JU9ua0/aaH6w3sgKe45y7I2JiZwLm6dqcvoi54cYV4WlBGCTs2Vamp6dOsLDoZglmUCzEFAuXw9V8OcPkVIHpUpZwPYNVU5J1qoPRFeEqPxMyECeU9tbxWohjhP11gpeUsS/3kwDTgxHV/o0NTwChpSNeHfmY/t4qfT0NMuHKpTkyGWfPzhIDlSqnz3fRaATpSJ9Boyuh0VW/Ilx1TmQojGchMeZ74bEX1zn8pdyGBZyFcFXphPpdzvk7na5Z6D8Z0DPGuga5q3kMlQn4owfgdZ/QBr8iIjcChSkRAdLfer/7u9I/N3Ij3lqHM7UrYXJ3WtnNw82pfOfmzAzGPPmSCrmZLHFXwty2OtWBaIlpfqmOQsTB3XNkQ1/z1kZm0N0Z0d05z54EZuZzTE7lma9mCIFoA/ZKSrJOdn+JwZ0l+hNjajbH+HSOOw7OgYPvLYNDfjbHyQudbESSCgDMyWYSBvtq9PXUyGXX/g53FmOOHJhhYjrPudEO3O3Kn5NmuJruqsPeOrm5kK7RLIWJLI++pM49n86v0x0tLwYIYK4PyvcknHbom4D+Z9KpgBtVKbA+B+/7PvinH4Qjr9yQS4iISIsUpkSEyiS868Uweyb97fdGKPc6F48kzPeQrkfamMtcI8o4E3tjRndHjB+tUO+MMeokuZU+4DsjA1VGhirptLnr7EMQQH9Pnf6eOlGUhpzJ6QK1RkCyjqGqq6PGwd0lwAkD58iOGR44UCVjMdO1ApPVIpEbfX119gHPXOhat2tnLK1WONhbo7+3no7QXSczGOqv0d3Z4MSZ7sujVNc8Eeo9MZM9MRyssu8LncwNJHROpdMeaaFgx/VaGFWd2gazgwlhA7Y9YfRfsOtax7WcqJxuV/Daj8P+l6178yIi0iKFKZFbXKMM7/1HMHdu/YOU48wPwMU7EqodXKqYt3i1hvUAACAASURBVBkjUY2cM3YgYmJ7ggXO1KEqjd44rU63Qg/CMOHQrnmKhejS2qj1lMk4wwM1hgdqzJczXBwrUqpmrh15WRNnz/Acg4NpvbvdnXP0F2rptMSm7ZkyIx1lSlGGs3Pd9PdBtVHm4sT11dsOzQlCZ2SozEBv/Yprrpd8LuHw/hnOj3YwMZNfOYAG8MxLSkwcqtN/Is/g6QzDp8O0rPomhCpI97qKQzh/t3PhDmfbU8bAWVv3KYBRBf70lfC/fx6237euTYuISIsUpkRuYUkEf/rDMP74+k7tc5zZbXDxSEI9z6ZuElsrOmMHI6aGEoLmFMLZPTWqg9Gqeyx1Fhsc3D1PJlj7tL52dHVEdO2bo1INGR0vMl3KYm5rGLVz+ntqHNg+z51Dk5SjDN3ZBrbCuq6ubMSRgSlG5/OcrHVg5mu8ZipsTuUbGS7T1738NddLEMCu7WU6OxucOt8Fycp9nt/ZINNIS8KP7Y0ZOB8wciJDmDT399oEcQDk4OKdzoXDzvAJY+iUEa7jHlaNUvrLkDceg/6D69asiIi0SGFK5BblDh9+fVq1b72KTTjO9HbnwhEnyV2e+rQZKp0Jo7fFzPan+x856ZqW0kid+e3phrzLc3YMVRgeqK7LtL61KhZi9u2eZ3s9YHS8yORcjoDlS6ybOYN9VXZtq5AJEo70TZIxpyd3OREvbFJ7+W7sik2Mt3XV+IG7z/DN0UHOj3cwvco1L7VrTjEfMzJcprsj2vAQdbW+7gYdhRlOnumiVg9X7O/03jphPaAwnWFid8LEzjp9FwN2nAjJNGzzQpUBGRi/3Rk96AydgW1PBoTrdP3aDLzrJfBzX4PObevSpIiItEhhSuQW9alfgif+av025K12OWfuSah2suoI0HqKMs6FI+lIFFcVsygPNJjdW1sxSJk5h3bN0dURXd8mtOsgn0vYs7PE9kaZi+NFJmevnNJmwL7BWfqGL29fmwtissT0Wp2QhICYACfECXACEgxIMBKMuHkkJiTJGDbs9HX0MFvNcmGiyMR0ATNvjvxcvnZoTj4Xp6NDxSu2z910uWzC7ftnuTBaZGy6sPy0P4OJQ1WGHy+Sm08rG07vSJjentAzHrDz6ZBsdRNDFUAIE/tgcmfCzkeNvgt23YUqPIHyKLznpfAzX4F897p0V0REWqAwJXIL+of/DMfesT77SMWhc+GOhMkdLFsVbyM4zuTOmPO3xZC5djSp1h0xc6i6YpAKgoTb98ylxRI2eYRlOdkgpq+rwe39M9Qaxhef2k6lnmGgu8rz943RV6yTkOa+bJDQS4VdTLfd/T3ZKQ735TnFAMmIMVHO8+2xAaq1DJVaSLUWEiewfbDKcG+NeLOHopZhBjtGKuRyCWdHO5YPVAGMH66w7ZEOMtUg3fDXYHY4YXYoof98wM4n0wqLm7WmKgHIwtnnOBMHnd0PBxRK13ftJIKpE/DHPwA//VkIc+vRUxERWY3ClMgt5sm/gc+8+fpHpBxnaodz/qgvGWY2Urk74cxdEY2CLzkK1ijGTB6prBikMmHC4X2z5LPJpqyPWrYfQUxXtkFftk5nrkFgCQEG5lCAH7nvJFO1PNkgoTvbAIOQNEx1Ur+uILWghxo7meac9THUWeMlneeZq2c5O99FZ7bOzs4yCcZ8I8t8PcdcI0uUBGmJ9y1OoYP9NcJMwqlzXcsGKg9h9M4yI9/qJGyQBioAg6mdCbPDdXYdz9BzISBImic2QRJAuRue/I6EwXMw8vj1Tf2La3Dh6/DX/wJe9d517KiIiCxLYUrkFjJ3Dv7iJ64/SFW6nLNbOKVveihZtqhFEjhTRyorjpLlsjGH9822tX/UesgEMf35KkOFKplgUXi65PLfQ3P2F2bYxgyTdDNFEXcjtJg9TK7bx/4BKlTIM+VFzGBbrsx9A2eZp8Ao3YDRn6/Rn68B0EiCy+GqniPydLraZpW8X6yvu0FmzxxPn+5ePlBlYexomW3f6LzyWw3EWTh1R0Rhl7Hv2xlylc0rUgFp2JvaA1PbE3Z+2+g73/7Uv6gCj/453PYKuPs169xRERG5hsKUyC0iieF//Gha/atdjjN+wLlwyDd1Sh/A9HDMmTsjLLPyHlVzB6v4CntIFfMRt+2dI9ykin0LAkvoy9UYLlbJhdFVAera/qbrnhJ2M0UXdQB2Mc1IPM2od9MfVgivTgXXw537ys/wcGE3xSCizyoY0ME8fVQ4Rx8lcpfWUWWD5IpwVYsDpqrpXlaxG871lHpfu66OiNv3z3L8mW7iJFjy2nHemTpYpf/pArZEmfJqt/P4CxpbMvUvhnTq393O9G5n79eCtqv+NcrwVz8DO18AA4fWtZsiInKVLV5uLSKb5TNvhrFH07UV7YiyzokXJly8bXODVBI4Z482OHM0Isk0P3QuozxYp9wfLfv5t6ujzu37ZglD35SZXIbTk6txqGeauwYm2NNVopCJ0r2YVghChjNAicNcvBSkAMydu2bO8wPTj7K3Mon5+sSVTBxx+/QoI5U5Xj7zBIOUrvj25IjZzwS7mbpU0OJq+TBhe2eZOwcmONQ7zUC+QmAJ4SZGqmI+5vCBWbKZeNl/3KqDEdWhBhYs06/m1L/HvrNOqTfBw82t7ZgEUBqAx1+SUO5t/9pRBT7wSohq69g5ERG5hsKUyC3gxGfgS29rv+BEqc/TD3f9mzutr1ZMePJFdaZHlp/WtyAqJMwcWL5yX7EQcXD3PMEm9D/AGS6UuWtggv3dc3TlGqsGKEjzXUDCXibZwew1/4PeNT9FLokxYEd5hgOzY4RJslqzK+qulTkyfYFi3CDAyScRO+enCJYIar1UuZ0x8qTPXfIeDDqyEbu757l7YIK9PTP05WoYvin/4OSySRqosssHqql9NaJcwkor/eIsHL834sLBiGS54LVBEiDKwfEXJIweSFbcZHo5nsD0M/CJX1z//omIyGUKUyI3udIofOjV7a2TcpyLtyU8fX9CnF15et16mxyJePKFDerF1WdauTmTR8ppZYYl5LMxt+2Z3fAgFVrCjmKJowMT7OwsEwaelhlvQYBToMFhRunh2uGEnmqZvlr5islzXY0ah6fOU4zqS4afFbmzc36KfXOThO4sDhYDtTI9tQpLZYgcMbcxxgClZQPVAjPoyTXY1zPL0YEJhoqlS2XbN1ImdG7bO0sQLvMTG8D4KgVKADAY25Nw/HkNopzDJo9SeQijtzknXpQQZdd+7agCD78PHvvoBnROREQAhSmRm5onaZCqz6/9tY2c8/QDCWMHN39a3+m7G5y7MyYJW6sSOHuwSpxf+vf3+WzEHQdmCDfwHjJBzO7OOY4OTLCto0IY+KqjUIsZziAlDjFGdonImo0j9sxPLhlesp5waOYiw+XZlqf9ZeOIw9MXGawuH4h2z08SJtGSb4ABO5hlD5PLTvu7WiZwdnSWOTowwXBHiXCDpwBms85t+2YJgqUDVVxwpg9U8RZGnSo9zmMP1Jkb2Jppf+W+dNrffH8bgaoMH3k9zJzagM6JiDwLmdl+M/u4mU2Z2QUze7uZtV1HQgUoRG5iD/13OP9VSBpre1210zn+woQkt7klz+sF5+nn1YnzsER9gCuYOQQQbC9RGkpHgHKhEwRO2HzkshEvvf0c83G66Y4DSRKQuBF7QOzW/PvlPx0ImrUhViv7nQlidnWU6MnX0t9M2cJVWrN4Wt/itVFXcE9Hj5abVpekvxXbUZqhq1HlZM8QiRksUQDCgKG5WXbUZwEIEl/odPr9XnS7Ac6B2XGe7BvBl/k+9FDjMKM8wyA1Mi3FqjBwRjoqDBcrTFYLXCx34m7ErbyW9H1PPP0uh+YE5ov+TEcHA0sIgoSwAzoO1jk51kOSBHhsxEn6SBKjMVKnMpOhOJm59J4ny/zgJRk4cXfEwNmAnU9lCFb7AV1HC/tSnXh+ws7HjMEza/s9aKMMH34d/PTn0tFCEZFb3B8Ao8AOoA/4FPALwO+105jClMhNqjwBn/qlta+TKvU5J56fkGzy/x0qnQlPP69Bkr06jjiE6SgbAST5hKiYUCsmxJ0xh54/yUDGr/mQaDi3905TzER0WetVN6LEqMXh5UeUpRqH1JOgGX7SkLWtWGKko7woRK1NAGSIOMj4kqNRC4bmZ+mIagSJ4zhuRjZKyDciipUahXqdMI4Jk4QgcY5mTvPU7u0EzULlCx+7HeiaL3Pw7ChJGNDIhMRBQBIYcRBQz2YpFwvUclnqmQAwOpI6g5U5Jord+DKfwrMkHGKMc/QxTbHFcao0sA4VqwwWqkzV8pwrdeFuJFhztqYTAxlzCmFMIYzIZyLyYUw+jMkGSUvBYKSjzL7+eU7O9S4ZCpND08TzIWeO99CYyZGvBOTKIVY1LDIsTEOWJ+lmv5O7Eyq9DQ5+LUsYw2aWhPQQzt/hRIWEbU+1Xj7d4/SXKo9/FO541QZ3UkTkxncAeLu7V4ELZvYJ4K52G1OYErlJ/e3/CfEygx3LmRlOOHXv5pc9n+9LOHFfo7mG5XJ4SooJld6Iam9MozPGr/o/1s6hMpklK/M5B3tmKWbiNQedTOBkgojO7JUBzD3dW6kUZZmrZxkuVNL1P0ZLoyqLLayP2s/EtSNODqE7iUGhUedljz5CqauDfL1Bvt4g11h5vKwTeO4TJzm+dwfVXO7SuqCB6Tn2XJwgcCeMYrLR8nURHYjDgGouy3Bhkq8fOMB8tkA1kyNwSMyuyBAG7GSaDDHjdLUcqCAdKRkq1OjLV7lQ6qISZ+jJ1ujKNciHcVq44zr15Bvs9jnOzndf07cggKAnZtddMzz6dC/lxecTyFQC8rMhnTMZwrkQDGq9zpP31zn01Ry5yNOgtUmSEMYOOFHB2fmtoOVA1SjBX78RDn0/ZDs2uJMiIje2/wK8xsw+C/QDrwDe3G5jClMiN6Fzx+CRD0G8hrLIk7sSzt65BUGqJ+bp56XBJe6IL4enrnjVjXeHBqpLrvzc1VGiM9tY07ql1ZhBIUwohhXuzZ+nhyoRASXyzFNgnhzRpfGg5QU4ndTYyySXsmMzPGWTmO56la5Glc5Gjb0XxilECR1Ts2vqayZJuP2Zczy9ezulYoHhyWm2T0y3XKTCgEyc0FWp0VWpUYie5PSObUSBUcnkmM8WmMsXqYTZS+EKgxHmyBBznqVHgRa3n05CdDpp0EWVLqtxT9d56oScpZ8K2TWFstUMFGpEScDFcueS7eYyCcP9VcamipcPBhB1JkSdCaUdDXDIlC+HqydfCAcfypKrQrCJI1RJAFM7Icon7Plq0PK16/Pwud+E7/0PG9xBEZGtM2RmxxZ9/aC7P3jVcz4H/AtglnQG+XuBv2z3ggpTIjcZT+Av39B69T7HGTvkjB701aubraeMk8Tp/lXlwRozB+prCHLO/h2lJUcturI1BoqVdV0bYs1rDlBihLlLRRuyJPRRoY/0m90gYIYCU3RRI7wmWAU4vZTZ5TOEnm5r21crXwpPGb/87Hy9wdD07Nqr9C1cy51Dp87RGC3RMzZD9ch2yLaXlPvmyowN1CkX8nRGdTqjOiOVWRK4FK6m853Uw5AhymQs4TT91wSqoLmVbx9l+ilTWGJVWp6YA4wzQ4Fz9OEE61ZFcrhYodTIMd/IXdtmADuGK0zN5oniZf5DsKvC1REYuyPk6Ce66b8QEgBB1HziBksM5obgxAMJ+78SELawuXBUgS//HjzvZ2Dgtg3voojIVhh39/uXO2lmAfBJ4A+B7wS6gHcB/xH4v9u5oMKUyE3mq3+U7i/TCsc5d1fC1M5N2j8qTIsH1LudsR0xU7siLt5TJi6sLTD0dNUpFqJrPrNmLGF/99y6TA1bEOAUabCLKfIrbhmchqshygxRpkbINB1M0kHiRmIBg8yz3Wfoq1UZqM7TGdWW/tjtzt7z49e3Ka87hafG6JwugzvFb52lenQHns+uuSkD9p4f4/H9O3G7/IMSwBXhqhaETOU7CYsxhaTB8XAojU9m9FKlnxKd1FeNGgb0UaWHi1ykmwk6Vxzpavk+DPZ2z/LY1ADJEr85CAz2jpR4+lx3iw1CZTjmoddOM/REkYETWYbOh3SNBWkZ/mhjQ1UCVHrg+HcmHPxSQKax+vXiGnz0/4Cf/qyKUYjILWkA2EO6ZqoG1Mzs3cBbUZgSkcok/O3/la6PaMWFOzcjSDlJAHHeGd+ZMLU9Ji44Ud4Zu7NMkltbYDBz9m4vY9f02TnYM0O4nlP7cEaYZZDSmj/K54kZYY5DlVH2jo5xfNs2tjfm6a2WWS3t9c6VKFZXDx3Lcid3fJxwuowlzTGYekzhkfNUnrOrrRGqQr3B0PQ84309y45g5pOYvTMTvOD40/TPzfONnbv5+wN30puUaWeTrwBnB7P0UuEkg+syShUGzv6eGY7P9F0b0Ay6uhp0FBuUK2sInc19q5JcwvxQFmsYPeMBw+dDClOWvt0btK4qAWod8PQDCYf+YfURKk/g/EMqRiEityZ3HzezE8DPm9nvkI5MvQF4uN02FaZEbiL/81dbLzoxtj9hYvcGBilL1wFV+pxzByIqvWnIMZw464wdLZO0sRHpjsEKmSX2BtpeLFNoo+DEUgIgIGYfk3SwxrryC22401Gr8EMPf518FHH/6ZM4MNnTxYXhfuIwJFkqVLmz++IkgbcfG7KnpshMlS4HKZprlKKY4rfPU7lrJ4Rrf+O3j00y2dtJvMTuyIVanR1j03SXypin17vv7GluH7/IVw8fYqzYTSmbT3uyxveogwZHuMhpBiiRu+61VJ3ZiO0dpSXXTwUB7N9R4tGne1nTD5PB5IEag4lRmMowM5IwM5KQqcHIqZD+s2EaqlqYjrdWDtQ74OQLEw58afU1VI0SfOzn4PArIdCnABG59fwY8Dbgl4EY+Azwr9ttbNV/Tc0sb2bvNLNnzGzOzL5mZq9onnvAzD5lZpNmNmZmf2ZmO1Zo67NmVjWz+ebj8XY7LiJXKo3Bw+9trejE1PaEi7f5xgSpwEkCZ2444ckXNDh+X+NSkAKIQ9oOUmGQLFl0ojNTZ7ijnO49dZ0CnC6qHGa0rSAVuFOIGuyfvsgPfeNh8tHlWn8GDM7Oc/T4afaeGyVfazT3erqsf2ae8Dqm92XOz5Adnb0iSC0wd6waUXj8AiRtfP/d2T42xeJ9cDsqVW47dYHDJ8/RM18maK4FW9BZq/Pcp57m0PRFbp++QE+9kvZjjZcPcfYxwQgzS+ygtXbDxQqd2caS/whmMwm93WsshQlgMHGoSr0rxpqBP8rD2dtjHn1xnYt7Y+LQIbP+u7clQKUbTj8vYentq69UL8E3P7Du3RARueG5+9fd/WXu3u/uQ+7+z9x9tN32WvkolQFOAy8FeklLB37IzPaTlhN8ENgP7APmgHev0t6b3L2r+TjSXrdF5Gpf/M+0tF/s7GDCmbudZL2r9oVpiJrenvD4i+qcuDui1nnVjlGBM360TJxv78PkcH/1mjGR0BL298yuyzopw9nODHtZfpPcJXkaVDoadfbPjnF46jzPPX6qWcb82nYM6Jsvc8eJMxw4c4FipY4lDomzY3yaYIkg1IpwfI7cmcklg9Sla3tCUKqTf2o0rfe+RoMz8+AJXaUKh0+c47ZTF+gsV64JUYt1VWrsOzdKsdFg39w4R6bO01+dx9xZYpBx+b4DQ5Q5xBgZ4pb+AVu2reb6KbMlQmcAu4YrtLVltcH44QqNQnJFuE+ycPFAzKPfVefc/ogou/6hKjGYG4Rzd68eqBrz8Jk3N/dvExGRtq06wO/uJeAtiw59rDnX8Pnu/heLn2tmbyctNygim6g2C195O0TVlZ9X7nFOPXedy583p/NN7ooZ3RsT5ZZ+mgfOxJEKUUd7n97MnOGB6jXrdfZ0zpO5zhGpAAiJ2c8EBVrf4JfmdLauRo2R0jQdcQPc2X92jGKtvmolPgO6y1WOPHOWUiFHKTZ6v3Kc+sFh4r61bQYUTJfJnxhPQ9kqLEkIZyrkTk5Q3z+4pkoEYbXOfR///8hkA+r7h1p+Xd98hejiOGdHhsgRs7s0xfbyDGPFHiaKnThBy9P/ikQcZpQz9DNPvu1pf5nA2d89y4nZ3mvayGQSujoi5strL9jhIYzdWWbbtzrJ1MEX3ZiHML43YXx3nf4LATuezpCJWbfpf4nB1A7IVJ2Rp1ZuszIBT3wMjvzIulxaROSWtOZf7JnZCHAYeGSJ09+9zPHFftvMxs3sC2b2sv+fvTeNkSRN7/t+7xuRZ2XdR9/d0z09szM7y91ZcndpyqAJwSYMyhYsmPogmJZk2TIJC5TtL4YB2pIpyRJgw/AXmaBEgBAogjYswZRtSqQJUxTBwyC518wsZ3emZ6ane7q6u+68zzgef4jMqqysPCIzI6Kqut/foNHTeURE3u8/nuf/f6bdv8FgOMvXf25ykaGdFx5+1Y+0IuVbQmM1qEQ9uz9eSBXvtegsjU/DG8fGSgtrYG2Ytx0WM+25fFIayODwGntTCSktQs51uF/a5W5l/1hI3dw9ZKnenNrztNBsc+ebn6Adj8xHu2Q+2EG1wx2PrrXJfrQbSkj1UL6PfVAj9awc7g6+T2q7SO69bbJHdey9Kqo1XRvkRrnGlcPy8XHa4nOtUeLNo2fHlaqwxSAL4TZHrFM/jqqfhULaYSndOfNjqDXc3GrMvF2xA0HlWSOOTUPxus/3fqjD3i0PX0tkc9F8HQz2Pbw5/j3YqcG//JmZCpQGg8Fg6DKVmFJKpYBfAX5JRD4YuO6LwN8E/qsxm/ivgXvADYL2wF9TSr06Yl8/qZT6hlLqG/v7+9McpsHwUuG24Pf/R3DHrPs8S3j4NR8/KrO5Jbhp4fFbLh+/7eLkRt9UtFC51aa1PkXF5+xWuLI+6JUS7hTmi0HvDdC9x37otj4lYPk+N2pH3C/vkPNOBMXmUYW1cm2m8AhdaR2LJ+ULVqVJ7r0npLaL4/1Njkv2g+dTCanjx+L7pJ4VsQ5rY29nlRrk3nlC6nkghHrtfKGFWB9XDovBc9R3vJYIN+tF7pd2ybnOVMOFr1KZ20d1vVBlmIpLpz3y2dnft35GOPh8E3+UoCKoVO3c83jwgx0aKzL2tlPtW8OzN4T6yvjtlR7BY9NPYjAYDDMTWkx1h1z9MtABfnrguvvAbwD/hYj83qhtiMgfiUhVRNoi8kvAHwB/ZsRtf0FEviIiX9nc3Ax7mAbDS8c7/wj8MQUCQdj+ko+XiWBnKvBF7d3y+N4PdahujBcNSgutDYf61dkS8XqsLrWxB76tNrJNUtbsho9ggG6TOxyG+yLs+qLWWjXeKD5jtd04VRDLN1tcOyjOPGQ3vV08nb4ngvKF1PMyuXeeYJWGqGURsh/tzRQmcbwfX8g83Ee1z75Gqu2Q+WCHzEd7aMc7c3z2QRWc6cSGAm7uHpBrdc7ol5zncL+8w/XaEdr3QxdqNmhwk+LMgiqlhav5+hlBrRXc2Jy9OgXg5nyOXmsiE8xhnRx8/GWHx593cdMCEYgqseDR9/uBP2sETh1++7+Ze1cGg8Hw0hJqDaGUUsAvAleAHxcRp++6O8BvAX9HRH55yv0LSYyKNxheUHwXfudnx8+VOrohVNeZez6PWEK929K3c8+b6LtSCG7ap3gnRLzg+D1zfbNJf1KBpXyuzZHepxHWqHODUqgvoKClr8NrpV1u1Itn0vYsz+Pu9t7MQkrXWujG8OdJ+T7acYPWv4/2wDt5JVNPS+h6Z77hvgAC2Q/7RJkI9m6Z3HvbWJXm6EALpUg9q0y9OwW88nQHa1jiILDWbvBmcbrWvxVavMLhzJOoNnJNLD1wXwW5nEs2PU9VFTrLHo0rneOEv3FUNwda/+ZMLpQUfPbl8YEUz78Nz745124MBoPhpSVsZerngTeBPysizd6FSqkbwG8DPyci/2DcBpRSK0qpf1splVVK2UqpnyDwWP3mjMduMLz0fPz/gNMcfX1rQXj25rwR6EE16snrLp9MaOnrx+8OMp0rcg1YWnCwB4TbrYUaekYhFQziLXONymQhJaDF53rtiPvlXbLekAqbCHeeHmDPmMAHkHpemVhdUr4E7XbvbqPrbXS1Rep5aWxyX1iUCKrtkHpyBK5P5sEe6c+KQUvfGKGmfJ/UXnmmyljK83nl6WifV3/rX8ZzQ6X+FehwjwOsGQSVUnBrsXrGf6UVXN+YkOwSgvKtDk7OD3UCoNf699FXHZzcfFUqH2gsw8Hd0dtwW/D//U8z78JgMBheasLMmboD/BTwNrDTNyPqJ4C/SuCB+u/6Lq/13fdnlFK/0f1nCvjvgX3gAPjrwJ8TETNrymCYkW/+Q+hUh1/na+HRV/z5kvssoZMXHnzNoXQt/AJVtFC828LLzt+qdGWtdeqM/jyhEwrhBiU2mNy6pQUynstrxR3WBlr6+tkoVig0W7NXhzwfq1gP9XB6Varse9tkvzebT2rctlMP98l/69H4atSZO2qs8mytcIuNFptHlbGPI+c5vFZ6zkqrHuo5zuFyn33sGQRVITUkjEJBodCZWbz3b+fg9SbeFCcX2gvCB19zKG/5c3mpfA07rwqN5RHbEPjw/5qcBmowGAyGs0z8WheRxyKiRCTbNx+qICK/IiJ/q3td/+WFvvv+PRH5se7/74vIV0VkUURWRORfE5H/N84HZzC8yLQr8MmYT9DTL/q42dm372uhdMXnw686dPJTpMRpob3m0tqYrzUKQGufXK5/O8LtGUMnNMI1yqwyppTXRYmw2qrxWuk5GX90AmGu1eb6fnGmwIkeVqkRRMeFRQTe20HV2/N2gJ3e5melYLvCVNUu5XnYe+MDLMZx7eCIbMcZ+1g0cLN+xK3qYTCDa8LjTuNxl4OZWv6uF6pnWuI0iqXCDEN8B/DTQvHVyf6pfsSCx2+6bH/ODQTVjKKu55/yRsy20nYQk24wGAyG6ZizAcdgMJwX3/tVsEaMwCle8ylvzuiTUkGifgbZUQAAIABJREFU2JM3XT57w526suWmhKO70ZziXlk8XSVYSDkzhU5ohA1qrE+oSCkB7fvcrhxwo14c+wWpPZ9727sz+6R6pHarKG+KyPgnZVS5BX+8DTs18OZUVI4H7+7Cp0VUw4FHpanfOFa5Ae6M88OAu9s7oQYVr3SavF7aIes5E9v+srjcncFDldLCRnZgOLQWrqzO6/0LaK96NLfC+af6KV31efBVh84cbX9+Gp68Pdw/1anCN35+ps0aDAbDS40RUwbDJeUb/yCYEzOImxaevjWjT8oS2nnhwdc6lK9MvzjuDeaN6ptla7V9als38vWp2616qX1bjOiH7N1OhKzr8Hpph2Vnshi8tXOI5c3pV3I8dG0K4dlw4OFREELhC3xvF767eyqUYirqHfijJ1Bqnmzj4WFw+TRojX00e3Uq7XrcebYXqm0x7Xu8VtphrRdOMYY8DrdmSPnbzDfwB+6TybpYc6RH9lO61cHN+ExbWuzkhQ+/5lC82gunmA4fqK1C6crw+372B9A8mnqzBoPB8FJjxJTBcAmpPoOdd4Zf9/zzPszgkxJLqK31zn5Pf3+lhdr1Dm4umgVnyvZJp08qNjnLIWNP1zrYmyM1KbVPi7DaqnO/vEN6TFtfj3yjxXKtPndVyj6sgQr5NSwCHx6cXX/v1+Hr29DxmMpIVm7BN54G9xusCr2/M1XFa95WP4DlepOlejOUvlDA9XqR25WDiS2WS7S5Tmmqwb4p7bOaaZ96Ni1gdTGa6hQaDu+3kBl+gUXDk895PHvNnU1QaXj2lgwdJqwteP+fTH9MBoPB8DJjxJTBcAn5zv86fA1eXxZKG9O394kV+KMefsGdaYEH4NlC9dr8vpIeq0ttrL7V7PWFxlRfWBrI4nCbo7ESQ4mwVS9zo14MJ0VEuPP8YG4hBZDaq6JCiDcADupQaQWiapCGA3/8BJoOoQTVfh2+/Wx0RavhwE4VJLw40402qjOfT+7mzv5U/rNlp8W90t5EH9UaTTY5m9Q3jq18nf6Nioat1eje327ep7npTN3u1+Pohs/jt2YTVJKC3dfPPs9Ow7T6GQwGw7QYMWUwXEK++Q/BHchR6A3nndbj5Gth/7bHk8+5M099Ey0c3WtF+o2yudo+XstnLJd8qhP6+BRg43bnDo25nQg3q0dstca3APazUayQcqfwOI3ad8tBtUIOM/b8oCo1rp2v48HXn0CtPV4EPa3A+7uT48w/PoBpHqdSWAfzVadSns/V/SJ6ipTCvOfwWmkX2/fGZjNsUmOVRmhBlbF8llLOqbecnfJIp+Z/7XuUb7Xx5pi0WN30efi20036C/+c+cDhjWB0wiAHD6D0aPZjMhgMhpcNI6YMhktG+QlUts9efnhbcKZM7/O18Oy+y85db2YhpZTgLLl0lqNbZGbS3il/yrXcdFUphc8rHGKNWWBq8blT2We1Ez7W23Y9rs2Z3tfDOqoHw43C8KgEYZ5e14dvbAceqMFDFIFHRfjoINxcKE/gw/3QM6SU72MfjpkeHZLNYgV7SrGa8V1eK+2Q9tyRgkoB1yiTwQ39Vr+yUDvlt9IK1pYiavUjSNgrvdIi1BCtETRWhI9+wMFNMVXSn1hB4uewMIoP/s+ZD8dgMBheOoyYMhguGY9+J4gx7sdNCTuvC/4UgsjXwmefdzm6OZ8w8BUcvRLdAhNgcaFz3OKX0t5Uc6V0d5ZUZpT66Cb23SvvseRMd9w3do/mWfeewiq3wkWQNxx4UoKwiX++wLefBq18PSEkAg8O4XFpugG7ezWoh6yeAbrZnj0Mo4sCbj/fm3oYcUp87pd3yLmdka+RAu5wiArZCJuzPRb6fXoKVhfDPx9haK27XZ/h7G+sdkH46KsdnAxTCbNm4WwYhdeCB78286EYDAbDS4c9+SYGg+Ei8dGvn03xe/7WdKETviU8/JJDY2U+ZaC0UL3ewc9ENzwWYLXgHHeqrWdaoc/6aGCZJisMT8hTApZ4vFraI+NP5+/JN4PQiWmT4YYiglWbPO9qZOhEGN7fgfsbcGMRPj4KPFCzCJ3v7sBXbnHKwDYKbaFrLfzl/PT76aPQbLNUb1Eu5KeqmFoi3Cvv8nhpk3oqgz+k8pfC5xZFPmMNCbHxrXydRmUZr3vbVMZDKUGm8JONRcHRvRabf5KfdYQUAE4WHny1w/1vpcg0IcyZlV4YxdKBYPX1G27/IYgfPhvFYDC83DRTad7buHXeh3FumK9Kg+GS8ei3T/+7uThd6ISvhU+/b34hBdGHTgRI36BeYT3XCr2gtnG5TmnUZtHicb+0O7WQQoTbz6IJnQDQjU64Fr+j5ujQiTB8fAD/4kPYLs0Rn94NowjzIng+VjmESAzBzZ3JSX3D0MArlX0KndbIIs0Sbdaph/JPLaScU+1zShT57PwDqftx8z7NrdnDKHp4Kfj4+x2cNKFb/iQFe6+efp6Vht3vzHUoBoPB8NJgxJTBcIkofwbtyunLdj8XPnTC18Ew3vpaBKLAEkp32pF/i2QzfXHotht6rpRCuMPRyMPR4vNqeS9U9PkgS7UG6QhCJ46PpRwuApyHxfna5rYr8IdPYL85VTLf2eM4DNVmqBCscjQDm1Oex+ZhZaZqjQJuVw/Ijmn5u0qFdAj/lFKwlmkd304pYSkfbasfQPlme7Yh2wMEgqqDa0OYN5kPHN7mVFS678KjfxXBwRgMBsNLgBFTBsMl4tHvgOprzm3nhepKuPv6lvD8VXemYbyjttdajfYMPUAh7xx3lG1kWqGqBxrhOiWyDD8eJT73KvtkvRmOV4Tr+6VIQid62GH8UuUWNOao+u3W4IP9IEjinWdQbTNzyojjw264cIkofFM9NovloN9sBjRwt7JHakQoReCfOgrln1rNtk7aOxWsROybAhAbmluduatTELT8ffJlBz/kSRZlBQE2PVzjmzIYDIbQGDFlMFwiPvp1cPr8Unuvh/NKiSUc3vQ4vBXNIldZQvlm+FCIaTjxSwnLIYInFFCgzRrD28uUCHcqh+Td2YRJodEi7US4eBZBV0O0ws1TlSo24Tu7J4N3hWAOVaPDzC/ap0fhwiu6vqkosH2f9VJtZi+RJcKr5V0s3xtapEnjcSPEQN+c7WHrk9ei55uKmsp1Z6p8kHG0CxLEpocQZx6wf1fw+x5TzzdlMBgMhvEYMWUwXCI+7fNLdTKBV2riUskSKls+z+9F16bmKaG5Hn1Vqt8vtZjqhPqCUvjcGOGTUiLcqB2x5My+uL+2X4rMKwVdv5SeIGhqbZjVe1RrwzefnwipHp7AH21D22UmQdV24bA5+b4R+qYArhyWZveMAbb4gaAaoQyWaZHDmfiMrGebx+ct4vBNAfgpob3hRCbUGssSfrCvDcUbfd4w45syGAyGUBgxZTBcEqrPod03W3b/vo+aVJWyhPqKz+M3Zh/IO4jSQvVGJ5Zvj36/1Ga2NbHlSSNcoYI9pFVLi3ClXmatHX6O1CC5VptcO9rYd10J4Zf6tDxbgl/Hg68/G13R6njwR0/AmVFYfzJhcDDR+qYg8E6tVuvzJIeT8T3ulfeGtmoq4AZFJu1gJdPG794mLt8UQPlGJxLvVI/qps+z1yYLKk/B7muCdIWc78Jnvx/hgRgMBsMLihFTBsMl4fBDsDPB/7sp4ejapAQ/wUnBwy9EJ6QgWHQ1NuNZSOYyHhYKjbCQntyWZ+OxzlmxpAVWWnW2WtUh9wrPtf0SKsKqFIBuuuP9Uk0HDmvTV2NE4L3dsxWpM9t34VvPJt9uGA0HKpPFpW5H+/64clCc+3XIeQ53KgdDt5PBY4P62B/EtOWTs7oiVMFiPo7KLHgZobPqRtpGeHTDp3TdA2v8NsU+mTvltmD3vcgOwWAwGF5YjJgyGC4Jhw/A765RD+766AlVKV/Dwy86oZP+wqC0UL/aiXSb/WTSHqKEQrqDmpA+pxBuUjqrEwVSnsv1enG+Y2l3KDSakdvC9KRQiUclZlK/j0pQDhn+UGoFt59lvf7x/mQh5vvgRldfyTgui/XWXNUpgEWnzWajOrRtc4sqetSg5y4r2SZW9yBS6fgMReUbnakGcIfh6X2PTlbGRqZ7GvZeF6T7GPeMmDIYDIaJGDFlMFwS9v4EnAaIEg5uMXbZJ5bw7L5LuxBtVcUHalejnit1wmLWAwVLqc7YM/OKwOuywNlj0fi8Utmb+8vtyoyx3JPQ7THPn+vDbjUQI9NQasEnRzBNfPvHh1CZIZCi2gmqW+PQOvLq1LWDw0iqhFeaZbKuc+a1DRIhy2PDKBZTzvG1tu0zt7obgZv3cQvReRwBRMPD73PwJ3wwnDQ0ugmhR59EeggGg8HwQmLElMFwSdh5N/i7thaYw0diCbU1n6MbUZ85D9qPxJ58y1lJp4MF5GLaGbvGV/hcpXzmci3CzeoRmRlmSZ3avi+sVGsncdhRMalis18DPeXXsuPBt4cEToThW09n8089KU7QEQrVjFZM5doOaXf+1joF3Knuo4b4p5YmhFFkLO+4siMCKTu+6lTlamdiW960dPLw5A0Xf8x2fQuO7gSPq3kEbrSWQYPBYHjhMGLKYLgkHH0c/F284+ON+eS6Fjx+M1qfFAAWVGPySgUIlu1jKR9bj17gWwhXqJIacIxpgeV2k5XO/ElyS/UGoqLPfVctF6wxL96z2nTVJRH4zv74MuU4Oh68M4MQ26uP93R5HroVfQVzvVhBRaBfUr7P7erZStekMAqlYNF2u7dVZGJs9Wsve/OEGI6kfMWnsuWPFWrlTfCVkMpD0VSnDAaDYSxGTBkMlwDfhfpeMCi3vDbmdlr49EsOfgzVIx/oLEXbetSP3V3cLaScCX4pYY364EXYvsuN2mEkx7JRrGFN22oXgkBgjHhsbReqU6bgfVaGYgO8OV6XoyY8mTI90POhNLpkoQDdiD6gYbVSI6rWuiWnxXqrdsY/lcFjhdFeuUK6jYWglZBJx/d5QEN73SGOVsInr7t00jJy20pBdSP4+/BB5Ls3GAyGFwojpgyGS0DpUZDkV96UkV1gYgm79zyai9EvvpQSWhvjW+/mJZP2UKixfikLYZPqmS8uhc8rlf1IvtAsz2OhOXuc+jh00xkdELFbndC/OUC9Aw8Oowl6eHAQbG8atotj4yR1M/r+sJTnkx/nOZuSa/USac8945/apMoooVHo+qZEwUImnkS/HtVNJ5ZfabHg0y+6I/1TnobiKz5OAw4+jH7/BoPB8CJhxJTBcAk4fADaguIrgjdC0HSywv6teM6U+wpqsbb4BWJKI2P9UoKwNhCFrkW4Vi+R9aJZ2C5X6sT11agb7mgf1rNa+AqTCHz3ILqihTB9u99hA0YMwgVQ7XiExnqxjI6oaKiAVyr7DD6RGTwWGS4G+31T+Wx8bX4ATsEPN3B3BtoLwsEdD+zh26+ugIOw+04suzcYDIYXBiOmDIZLQH0PWiLUF4df72vhszh8Ul3EFtx8vAvHdMpHW6P9UhrYoH4cTd0j5Xmst+pD7zMLG6Xa0OGuUaCcEQKj3oHWFGJ1rw6V1vSzqMZRd+BpldBvIgEOxlTwRMCPXggsVxvH0d1RkPY9NhsVBjXLFpWhwrffN2XbMbb5AXRnukU5c6qf3Tse7ogxB1oFM6eqz2PZtcFgMLwwGDFlMFwCOjU4WB3R4mcJ1Ss+zaV4FlxaS1CVirHFD4KhqHnbHemXEoR1aqcuUyLcqh1GdmgpxyXbiS/6fWSL3/MpRIznw3f3I53jdMyD/enS/bbLo6tZSoWbeTUllghL9Sm9ZRPYalbQcvpx53DJM1zgLqTaaKbrypyVxqYb+cypHqLhszecoel+noKjW0K7Es++DQaD4UXBiCmD4RLQrkLpugwNbfOA7fvxeTc8gWbMLX4AKVvIWO7Qs/AaWKOB3VcpUN30vrwbnfhZqdSIUzWqUeJirx5+ttTD0liv0lx4Au/vha8olVujb6sUKoYQD4D1UhkdYdVLAzeqR2fCKK5QGTp3Kmt7KCS2ilE/bs7HT8e3n9q60Fzxhw7zbS1CaT/+x2gwGAxJoZSqDfzxlFJ/f55tGjFlMFwCqjtCa0iLn1jC8/suXiq+fUtK8DLxL6gsLWTt4a2K0g2e6EeJz/V6MdJjWKm1YmvxA4YLpo4HYQfc1jvwqDhdfPq07NagNoV4rowImlDMNvsqBIVGi7GBjzOw7LTIO51TmmKBDhnOnqjIWB4+QfEtrsG9/TRX4kn16/HZ68OrX0pg18yZMhgMLxAiUuj9Aa4ATeCfzrNNI6YMhkvAu38Aasj6uZMVjq7H62WKMw69H62FnDV8X8u0Ts2V0iJcbZSwoxQ+IuRa0baPDaKGVVNKTbBCZNlHHToxjvemCKPYqzJc2ajRlbg50SJkYgi4uFk7ZLDst0XlrE+vm4ChVE9QxUt7xYMR3qYocHIEYRQD7X6+BbX1eL9fDAaD4Rz588Ae8HvzbMSIKYPhEvBZSfAHFlNxh04AKEtorMQb/3y8Lw3pIWLKQlgdmCsVdegEQK7ViWVQ7ymGialiC9wQz/FBI/rQiVHUHXgW0sdVao5uUYypzQ9gqVaPXFgGYRS1U2EUi7TPBF4odSKodExpe/10Ct644MRI2L3j4Q7R9NXNePdrMBgM58hfBv6xyHw/rEZMGQyXgMaynP60KqGxGl/oRA/fh85iMpUp2/KwhnpQhAVOfFFKhJsRhk70KDSaZxLdIkVkuBA6DDHTSgQeHMUTOjGKBwfhotqb7gjflELF1OYHsNhonvE4RcFWs4zqC6NQwAqtM++3bFf4WwmIKbHAjzmGXTQ8e9VF+qPSBd74PYvGkfFNGQyGS8OGUuobfX9+ctiNlFK3gR8BfmneHRoxZTBccNw2+AOeKF/B83vxixxJSazm934WMu6ZNXmwkG2cWshmXYeFCEMneqzUWqhY/VJyttDTcSFMu9pRc7ro9Chw/fBR6UN9UxJbmx/AQrMduW8Kgh/FrYGo9FXqZ2LSs3bweiRRmQJorrjE3eNZ2vLxTp20Cf568Oux7tZgMBii5EBEvtL35xdG3O4vAb8vIp/Ou0MjpgyGC87TPwZ/4JPaXhKaiwm0Fy0nU5WCwNSvBhbuCmG1b0iv9gOvVOQk4JcKlOLA6r/UAjuEGeaTYrJVqeP9HoWLNx/mmxJibUmMyzcFBC2kfcI6h4Me8FJlupWppMRUezle3xQAGnZecc8M8v3w12Ler8FgMCTPXyKCqhQYMWUwXHg+/ZfQP8fWt4Rnd+P3MSlLaCwn45cCyFgueqDNz8Yn15emlvI9Ck708WKJ+KUsdVZcHLVg1CDfHuXW6MS8uOl4QWz7pOpUcYhvSoHoeJ/TOHxTABpho1k9rk4pYJXGqR/MnpiSOMpjQ0jCNwVQvOafjGDoPv5nfxj/fg0GgyEplFJ/CrjBnCl+PYyYMhguOJ/8Jlh9620nJ9RX4j8b7vvJJfkB2Op0G5yGU8ETWoQrjVIseRux+6VgeOxbMYRf6pNSrEEOE/noYHJ1qjXCN2XF+xMTl28KYLNVRfqqUas0TgVR2N0ACj+uiboDJOGb6u1nv5vsp7q7qz1XtKvj72cwGAyXiL8M/KqIRPLNZsSUwXDBOfoYeiF3YgnP73qxJvj1EA1+KjnjuaVPLxQFYaWvxc/yfZY7zVj2vdBy4vVLwdkcbZHJPqhaBw7jqb6EpukGiYOT3nTtAeGtQHS8PzFBRTGebVsirLXqx3OnMnik+8Zm96qoSYkpAKeQzMmNgxvBHC3tBamhdi74HjIYDIYXARH5KRH5i1Ftz4gpg+EC47agWTypTLkpobKRTJVCMslWQwaT/ILFazd+WoStRjk2DZltRx9oMZT+tre2N3lI0acx+MNm4cP9ydWp2kArohC0NsaI7fuoGH1ZW40K/Up2lfrxj+aJmIpt92do5/1EPFq+DYc3PXQvNEXg8EHsuzUYDIZLiRFTBsMF5ugTSOXB6mYjJFWVAnDzyYqpvUaOcjsNBA9xkZMqlBJhtR3tXKl+Uk4ySXnS3/bW6Ixvg+t4sFMdETueMLUOVCcIzspg9UpOP96YSDvxVWtS4rPSbh5Xpwq06Ymr3mVegq+Pm/Vjq8QNsnfLw3IUoqBTh4MPktmvwWAwXDaMmDIYLjCHD4LiRScX/Lu8lYzAUUpo5ZLzSwE0vDTlTgYIAgCChStogfVmNbYvK8vzYq1unKK/7a3pwLiX83k1ds/RVDw6Gn+8jc5p4Sdy+vHGRKYTrxDebJbpCags7kmdqitqdMwhG/24WT8xbe2lQXqK0Yedd5LZr8FgMFw2LtAvtcFgGOTwQ3Aa0MkJ1TUPiTsauYcGN3d+oQc+kCdYJAvCWoxVqUzHid3b00P6297qzvihuE+rEGPVZWr2G4yNk2s4p9MKJZnKVK7ZitVTlvVcUn7wOihgofu+9LoloiT1rpeR8YI2Yg6ve8dP7cH3ktuvwWAwXCaMmDIYLjA774DvAr7w2ReSiyn3Bbzs+bWXZXDR3WVcxnNJ+/GJikzHOTPfKjasPjVcG1NRqXeCPxcJX+BgTABIyx3s8ovdMwWQdZzYkxjX+mLSCzTRgN8VU0nNmQKCUI+EhmgDPHr7pK24/FmsY8MMBoPh0mLElMFwgdl/P/g7X1ETswoixQc34QAKCNbrgV8qMIlpgbVWvJnM2baDilGs9eNn7JN/NMaIpec1UBfw6/lxCbwxK2qn7z1j6ckBGxEQtPnFu8pf7ZzEovd8U253knaiYopk4tGP92XDzqseKEF8aBwktmuDwWC4NFzAX2uDwdCj9JhgIWMpkmz4kpScy7dDx7NP+aUEYaUdTxx6j3zLSaouhZ+zg5ZCX0YP6xWB7cr4FsDzotgcH4jROjlmP5NK4IAg03GJO5085fvk3KCS2PNNtb2gyjg4aDpu2gm231rA7j3Bt8DOikn0MxgMhiEYMWUwXFBEoFMVfA31VUksxQ+SbSXqp+VZp/xSC04HO+b5Tyk3ufZJyaWDao07Jha93J4cQ36ePK8y8s3YPnkuJZ9O5HC0SBDhHTNrraDVr+ebanXFlJfgnCkAJ5tMPDqA8qC1BL4OvJuN/UR2azAYDJcKI6YMhguK0wBQeCloLSrSCVpoxEpeTLmuQlCkxUMTLJDjbvED0AkOCvKzqSDEwZPRYup57WLEoY/iSXm02OtW20Qp/Jw9/DYxoBMw8yx3mn2tfk1abvD4khzaC93PZkK79IFMU1G8IfiOolNLZr8Gg8FwmTBiymC4oHS6OuLoRrB4yjaTW7QllhrYh+8FX0dud50uSljqtGLfb5JiSjJ2IJRcf7iYEoFnlYstpmqdkxdpkE63MqU1fjaZyhQkI6YsEQqdoP00i0vbOy8xFbdD7ARfQaoFR9eCPbYrF/h9aTAYDOeEEVMGwwWldxa4utFNtSsnt2jzz6Ey1dM0vfapguMcJ/rFSRIL8WOUQtL26MpOw0lupTwP+yOi6o9FluDnkvFMAYm0+QGsdOpYAmlxcboBFEm3+SVZNU47oFC0C8G/H/1RYrs2GAyGS4MRUwbDBeX5B8GiqbEU/DtT19gJraPccxFTwaL0CjW0wGKnkch+ExvY20Wy6dFtfoeNRAbdzs1+ffi8I08QUeD5SEIBFJCcmCo4LXyk+19A0nHhvpbE9PZxNbz718e/ntCODQaD4RIx8VdbKZVRSv2iUuqxUqqqlPq2UurH+q7/N5VSHyilGkqpf6WUujNmW2tKqX+mlKp3t/cfRPVADIYXjW//Jmy/4R9/SjMNNXZmanQIXlKqrY/eGf6C7gBCwYm/xU+dQzudl0uNrkwdtUen/F0kik2GltA8HxDEtkAnV7GxEmrVTPk+lvi4ysY6TvFLvs0vKTKVk8dW3vDpmGh0g8FgOEOYU6A28AT4EWAZ+BvAP1FKvaKU2gB+tXvZGvAN4H8fs62fAzrAFeAngJ9XSr01++EbDC8uH/8ulK6fLFgzDRV7BDQEBZPzCKDoiakF3QERMl78okL7PpLoAC+QhXTQDjf4FIvA4Yj2uYuG40NnSHS75wfvn3wm0cOxEkw/LHTatLCx9fkkLooliVTDbIFs7WSJ0CkAKDO412AwGAaYKKZEpC4iPysij0TEF5F/DnwK/ADw7wPvi8g/FZEW8LPAl5RSbwxuRym1APw48DdEpCYivw/838BfjPDxGAwvDOVdOTW31fKSSfQLxFT8+xkkZQeLc1sLC24nkfP9lu8nblHyFrNBO9xgNaV+SfxSPQ6GtGF2B/q6y9lED8VKcCbXYqdJjQxpfT5zwHwtibxPPIGF0skXULPbblz6NP59GwwGw2Vi6uZ8pdQV4HXgfeAt4N3edSJSBz7pXj7I64AnIv1j/94dcVuD4aWmedQVNAOiZvFQxy8yFEhCc2z6sa1AXCjPZ7ET76DeHlrGRJTHRJDo55812xxdEr9Uj70hvqluhchfziV6KEmKqQWnRYPMOVamSERMWS6kWyefDb/7nfDod+Lft8FgMFwmphoEopRKAb8C/JKIfKCUKgCDY/zKwOKQuxe614W5LUqpnwR+EuD27dvTHKbBcOl5/LugPRWEI/St9QsHmtI1HzfuNfc5VEgytssX1opk6h3W2skMtPGVSv6xKgWWBjVQYTi8JH6pHse+qb43aDfBz09oYG8PP0ERKkqjEDz/fISv8gme8pjft4vl049Pe8Hr/OBfwJf/43j3bTAYLhcN0rzLjfM+jHMj9K+BUkoDv0zgefrp7sU1YGngpkvAsEmb09wWEfkFEfmKiHxlc3Mz7GEaDC8ED38LtMuZBdNCWRP7OXg5WTglSaOdxtLCbnqZpIJGfa1Q56Ac3WtL8KXrpy88uiR+qR7uEN9U20XqncSrfZ6VXF9qLZWhQBtPkv+MAChfxZ55YQsU9gfElAtYwuPfjXffBoPBcNkItWJRSingFwmCI35cRJzuVe8DX+q73QLwavfyQR4AtlLqtb7LvjTitgbDS83zb4JEITWHAAAgAElEQVT2zp58tlxFuh3vSsr3QZ2DmOp0y23lVJ7hudvR42udeDQ6gH91CbXa1wrneKMT/i4yNefUP6XSQh0kLwo9K7kqUTWdp0Cbjn8OxkJAecQupjyBheLp59TyAIF2CTqXTPcbDAZDnIT9Bfp54E3gz4pIv5nhnwFfUEr9uFIqC/xN4D0R+WBwA10/1a8Cf1sptaCU+teBf4+g2mUwGPo4+mR4ZQpg8VDFvJZSnIe33u6uTR2lcfVUHcgz4ydcQenhrS0E/5PvzmKqOydPwGWieDqEQimFd3058cPwEmrzE6CWSpPGxT2nNj/txf357/qlBk7aaBfwFXYOjj6O+QAMBoPhEhFmztQd4KeAt4EdpVSt++cnRGSfIKHv7wJF4AeBv9B3359RSv1G3+b+GpAD9oD/DfjPRMRUpgyGPtx2EEBhucNtEYVDjRVzEcM+h8qU1oLyfRZVm2oqoTQ4pRKPRgcCzxTASrc61XASb42LhLoD/e1uAv45iKmkPFMdbYNSWNKfAplsZVMlMB9h0C8FYPedYDl8cOZqg8FgeGmZePpXRB4zpqlARH4LOBOF3r3u7w38+wj4c1Meo8HwUlH8BFJ5cFqn16k9Fkrx+6a0ez5iipbHZq5GNZ1htd1AJ9DuJ0qdTdaLe589MXV1CZ5VoNaBziUKn+jR6AR9oVb3/bKUQdLJV9j8hAYEV9MZQOGjjjMgtA6egqRQXrz5E7YPhb2zYirVfXs6DTg403tiMBgMLy+XKIfXYHg5OHwQFCm0O1xMWZ6iUI138XgeARRaC2Uvi6CopbIk5ps6l8pUN/ZiKQ22hsYlFFLQrah1/9+2kOtLSIJhED2Seg1LmQK+AkfZpK3glIZOeIxA3G1+HrB0cHZpoLv2OPFg950YD8BgMBguGUZMGQwXjIMPg7O/ekxa2Mq2hR2j1jiPAArLEkpu0Pbma009lcysoiRjtXuIpQMRohRsLkC1nfgxRIInx4N68X24snRSpUqQJCpTjtY07cDj1iBFtiumLHUObX4x7nKppLGGfP6tvmr1/vfi27/BYDBcNoyYMhguGLvvgt8tVNjO8Nss7+vjNWwcKOd8xFTZTx9XOg6yC/gJfEUlGat9TK/NTwG3VqA54oW+DLS7TacbBUhpJJ1MeEgPAbwExFQxnadXE6qRI2sFH9LEK1MdFVtboe3Dyvbwz5zdFz1Vfpx4Z6zBYDBcWIyYMhguGHt9kSyZEQUL7SuWi/F9fFXnHIbZAjnLp0Uw8LWWziIJHEQzk4p9H2dQCkl395uzYSWT/DFERa0T/H2tAL6Pn032+XRsO5F4+6PcIr4CD0Ubi6x9Pm1+2YYmrmx0X2DxcMj3ioDd6rudC42DWA7BYDAYLh1GTBkMF4z6zsn/Z4eOtA5Y3baw4kqiUKDPoTqV0h4lApO/KEUlk499n81MCl8l/1Xo5wLRiFLw5WuJ7z8yvO6bcDUHIkgm2cpUO20Td1h4y7JxdFDBbJBGw7Fnyk8gXa8fuxlPJVUBKwd6aHtxqgXS9xGxMlB7HsthGAwGw6XDiCmD4YLh9p0BzpTVyA9poRhf9UgpsFvJfz0oBXUyx9ETh9kF/JgXyu106lzi0f1cKnj5tIKv3Up8/5GxVwfXB62QlJ14xHsSr18xswDHLX4ZPBSWCt6lXpJiSrpV4xjQXnCCZhiZBtB3ldLQqcVyGAaDwXDpMGLKYLhgOH3ehExdoUf4I5QoVvd0LFJDy/mIKYBW38SGhp2OPamtnU6hJMFs6y6SS0HPr6WAQjrxY4iEoyZ8bhMAP5v8Y2hmMkNTL6NCgKPswvE+qgQz0HrBE0lWprQb4wkUD/Ll4Y9l2PeQEVMGg8EQYMSUwXCB8L2T8AkIzgj7YxZPK9sWKoZWP99XpBvn9fWgjn1TKBUsZGOsTnVSyXhuBjnlLXJ9eGU18WOIhJQOQjQIqm1J08zG6zdr2Gmk+1Ppoeh0SzT6HMSU1VLE0ZGqgbUdPbJdMlcH+mfPCbTHtCAbDAbDy4QRUwbDBcKpg+6znKSaMG6tlq9pss14FnPpZrJfD4uqxZV8HeDYNwVwmC3EG0OhFI6drM8HusLD7yphD7i6EAiTy0TKhi9cAUAsC8knL6Y6qXjTGPfyy8fV0Z5fCoJ35/V8FT9BIW63dCw/2uLB+mejPwO52unvGN8zlSmDwWDoccl+uQ2GF5t2Fay+9ahCkZqQmn3lYzuWIAqdcJufJT4ZK+glqvX5phzLppqOd+ZUJ30OiX62deIv8ryg5e/uWvLHMRc+3F4+bj1LOsnPB1wrvvdpy7KppTLH4XlVsscePqVgLdsmyZ/RVFMf6++oUMDqgSY1xouVGhBOvgsdU5kyGAwGwIgpg+FC0amBGjjRnquPv0/hSGF3oj8W5ShI0ErU8U4eeBsbr+/raSe/FGsQRT2TPo8k+BOPUdsFBG6dz9DbmbBPxJ8gQSx6LlnPVDudQsdYGdrNr9BTUgIUyZ16nyQaPgFk6xaRx6L7sPlwdFVKO2ANnNDxHVOZMhgMhh5GTBkMF4hOlTOeiMKOYlwjk0IF1amIhY/SkK4lN9C24/Q/cMUReXoLx7adomHH542p57P4OvmvQ2+lW3HrTWC2raDScxkQPxB/no+yVDCsN+aWu0Fq+SwSU6x9R1tU0tnj4IkamTOeoqST/KyIP48KWCpqMmNahReKwEDBUXxolSI9FIPBYLi0GDFlMFwgnMbZywpHCpnQ2rO8r9ET2gGnRfmQKSe3OK610/QXGYrk8PvqADsL8VWn6vkMyk8+0c9b6omp3r4lqPZc9OKUbcGdVbD1sRD0luNtxRxGZbEQW5LfXm6J/heiSB5v4IVpdJLz2tkxeBiVB1sfj/+MLx0p1JDvlnYl8sMxGAyGxFBK/QWl1PeUUnWl1CdKqR+edVtGTBkMFwg7x5no40z97GWDKBRbD61Iq1Miinw5ucVipZXC71sZO9h0+k6JN1IZ2nY8nhzPsnBSyfum/EK32tZf0bE13FhK/FimwvfhTreC1m1L9JaziR6CAPWYothdpSn2xaH7KCqcfXzlZnJtjZmyFfkP9kJNkauP3+rigWKYYk0XIj4Yg8FgSAil1I8C/wPwV4BF4N8AHs66PSOmDIYLRLoAgxYQhaIQwuy9umMFqXARohs6Md9UtZViUDUekjsVi/48vxxbdaqykEveN9ULT1jPn1ymgNfWkz6S8FgW3FyGdFcA2t3Y8MVkK1PtdCq2Ct5+bulUS1+FzNkfS4FiPTkxtVC2kQjbCrUHWx+PP1miHbCHVMvRkF2J7FAMBoMhaf4W8LdF5A9FxBeRpyLydNaNGTFlMFwgMosMbekrPB/vmwLQorjyabTVqSR9U612isH5vGXyQbhBl1oqg2PFUy2rLuTwdbKeHwiKPOIMvOgX2jvlw92+lfSw6loCVGPyS7lKc5hbODWSoEjhTIufiKLSjHfG1cnOwKpG9/wqINdQLJTHP38LRVBDCrZWCtKLkR2OwWAwJIZSygK+AmwqpT5WSm0rpf4XpdTMZwSNmDIYLhDpxdNDe3uE8U0BrD+1sNvRHU+SvilB0fFOfyV5aJr0LViVYruwEkt1KvBNxZAxPwHxBfX+7ukLNUF16qLNneol+GVPBK1cOZ9+r7j8Us8WVo+H9AK4aOqDCQwEnW+lRjKVqcj9Uh7c+O7kkxKj/FLaNm1+BoPhwrKhlPpG35+fHLj+CkGszp8Hfhh4G/gy8N/OusML9kttMLzcpBfAG7J4CeObAlCiuPndFDoiTZCkb0oBTefsvg7InxJP9VSWWjpH1D1e5+Wbcu+ugz/kxbUteOtK4sczFkudrkoBai0/4sbxIUA9hhj2up2mnMmdEmlFcmdS/AAU0m1NjZ8o/VKWwMaOJjvBKwWj/VJKB1V0g8FguIAciMhX+v78wsD1ze7ff19EnovIAfA/A39m1h0aMWUwXCC0HfwZRKFYDJmetVDWLBV1ZB9u3dCohAo21Xb6jGis9A1K7RFUp6LnPHxTkkvBwjBhILCRh+WEWskmYWl4axN032vR/X9vIdnwiVYMQ5YF2C6sI329pj6wz+LQ95rraySuKMEBIvVLhfBKAVidEX4puu2/pjJlMBguISJSBLYJdYo6HEZMGQwXjFHjlFYe69B+qGvfsyMLo9AaMqX4q1MiUG+nOFtxUuyweCqIwtUWuzEM8i0t5ROfNyVaw/XFoBI1iKXgi9cSPZ6haA1redhcOH15NzjDzyc7rLe4VIjcL3WYXcCxTr8Gxb5ZZ4N0POuMxy8OlAtWJZpWW8uH6x9aWN7kA195roae2OlhPFMGg+ES84+Av66U2lJKrQL/JfDPZ92YEVMGwwXDHtE1tXgwvBtsGClHcTWiqHTxFEt78bcziUClnRr6GEvkz1QH9nOLuBELn3ouew6Jfgq5utw3a2qArH0BwigE3hySMHhrNbjWSu6nRICjlcVI/VKu0uzkV/D71JEAeyyeCZ7oXVntpBIZB5Y9sonqbZ6pK1Z2wwmzjW0FzohHKKYyZTAYLjV/B/g68AD4HvBt4O/OujEjpgyGC8bCxvDLta9YOQi/nfXt6MIorKo11IgeJR6KYj0D6qycERR7FE5Vp1CKJ4tr0VanlOJo+XQVLG4kZUNaw8qIIKHzDqOwLbi3BrkBQW1rWEojSiHp5JL8GtlM5NXDZwurZypdJbKngij6EVEUW5lEKlOL+2kkRCVpEsqDm9+1h/q/BknXITWixQ/A7cDC1tyHZDAYDOeCiDgi8tdEZEVErorIfy4irVm3Z8SUwXDB2Pj86OtWH2uskO17UYZRWBpyR/FXpzptm7Y7fD9HLJypTgVhFNlIxc/RSjwpcaOQtBWU5Ua1+kFw+Xm1+9lnQycA2CoE5hmtA99XQhyuLJ2qIM3LsNCJoCq1NLwqBaCEw+qQ2VMRozsKK0RQxCQsgfWQoRMAa8/VKWvcGQQKV+c+LIPBYHghMGLKYLhgXH0b1Ig19UKRqYboLpQ168/Ce61G4XuKxQRa/Zpti1InNdQW6qM5GuJh2S6sEuEsU1qZNI6dTIIhAEohqVQQNuGPeqEE1rJwaym544IgYOLtqwxdWd9aCaqI4uNnkxFTQuBri0o7e0rxeGnjVOgEQJUM7pjJbo5vUW+ncKN84w0hf2CPFzUhsVtw9aOQ72mBtW0FY6phy7dIpCpnMBgMlwEjpgyGC8bG5yC1MPw6hWLt+XRryasf26QbYZp7xqObGqsV7wqq7WqqnTT+iNJQkKx2Wmm52uJxYT3Sdr+DlQJ+DANhR+Hn0kH5b3OMEUUr+NwGFBIKe7A1vLYBy0OS+rI25LqLc1+QTDLis7IQXSS+AJ8tbuANnLnoVaVGvp8EKu00nbYdu79uYT89d4qf9uCVd1LokNvJlZlYzd54Y65DMhgMhhcKI6YMhgvG+uuMDexceTJdVLkSxZ13U6ghw4CnQSvIH8Rfgai2U0N9UxAM8T1igcEFdS2T4zBXiExQlZYKRJiaOhE/nwr2dq0wutUPAsH1A9eDlL84sazAw3VnRCXs6iK9VARJ24mVKQ5Xl/GjKNUAh9kC9VTmTEtnhSxtRotDEUXFSdFsx+sTsxsa3ZlfSF3/wCIzxdDf9ecKPa6SreDql+c6LIPBYHihMGLKYLhgrN0Htzn6+lxNYXem22a6rbj1vj2Xf0p8xcL+8Ba8qLAUtDqjfVMAuyziDhFNz/PLtC2bKCoXTsqmlUluvpPkUoGAWc0x8QnOpuD7YjasWMD3bY0WSTeX6R2nZJOplHlaUc1HM8+qaaV4vrByxnvlo3jKynhRroS6m6LtxPvzubBvo+f4rFkCy4eatd3wVUPlwfJTxbi+2XTBVKYMBoOhHyOmDIYLRioPmQnWmK2P1dQ+qOVDi7UdjTXHAk27ikwpxjPyAu2OHumbgsA79XRYG5ZSPFraGGf1mIrdtcXEWv2OPUdKwZ2VQFiNRGAzH1Sx4qDnkxqV0Le5cKp65iUUPrG/ukQUQtlTikdLm2d8UhAI9VEJfj0c36LjWkiMJxWUB/m99FxDga023PjudO2X69uKSSn3SnWr5waDwWAAjJgyGC4kK3fHX7/6XM3Utnf1gU2qOYd/ylesbGdiq065omi3LapOemx1oEKONmcX8Y5l81khmrj08uICbkLzk/xs6iR84sYyE1NGtIK3tiAfsZCxLXh1rVshG8H9jeNfDtEWEvUxDMFXir21FWTOl0OA7cI6rj4rFNtYHA5JjBzcQLmdpt3RE0XHPCzspOb6cdYevPJueJ8UAD5sPRwzW6qL0zRiymAwGPoxYspguIBcfXv89UoUm5+oqatMWhR33pnPP6VbmnQ1vupUq23TdO0JA4oVT1geuvCtZvIUs4X549KVYmdjOZnqlK1Pii62hpuTqlME/qmv3Yxu/pRtwXJmeAx6j7Xc6YqVIpEkv8Plbgz7vNvJLlBNZ8/4pAR4yurE94yPotjO0O7EWJ31ofA8M3PwhPbg+kdW6Bj0HqvPwn2fhKmcGwwGw8uEEVMGwwXk3o9CenH8bda3FTKDByrTUtx9Z/b5U8pXrGzH55OptyxEFEet7NgKWJsUxSFhFABPF5Zp2Om5BVVxeTHS2PWRKIW32FcNurUMEqKPM2PDD96aP5DC0kFC39tXx4dJ3N84vS/fwy/E6y0TYHdjFX/OX6tSOsfzhdWhM6oqZGkOqXQO4vmKpmfTaNixxaLn91NjQtnHY/mwsa1ZezZluqLA1YcKNaEqBXDrT814cAaDwfCCYsSUwXABeeVHwJsQMqF9xeYjNdPCa6GiufUnswdSWHULO4JhosMQUbQ7mqN2duJIrR0Whw9WVYqHyxtzB1KIUuxsrCRSnfKWs0g3IY+0BdeWjhPzxhwhLKThqzdnf5hKBdWtr14PqmKjWMrAgD/Kz2VCHON8FJcW8OfcR83O8GRxbahPKlToBIDAYSsLKCr1mE4mCCw9TSMzGP8sH5b3NVc+mT6mfmkPLGfy7ewcvP7vTr15g8FgeKExYspguIAUrkJ+Y/LtNh4r/BkF0fKhxfWPrJkElfJhNabqlAZqjRRtz8b1x0tFH832iJlAojSfLG/izLkQP1pZRBKISfeXcqcF0Z0VwpnTJBA6X74+245tDV+7MTpwosdrm6eqUoLCWxnjrYoAAZ5vrs0Vh960Ujxa2kBGCOLnLE8MnYDAxVZsZ3FchRNVyskA2UN7Op9TF0tgoay48b7N1I5IgWsfa7Q7+X5Kwyt/eurDMxgMhhcaI6YMhgvKvX9r8m0sV7GxPfsHee2ZzdZja/xcmaEo7LKN1Yx+UemKolYPKiAHzSxnDC4DVMhTJagYDOJpi4+Xt3DnqCz5WrO3Fr93ys+nORURl7VhczHcDCcFbOThrSvT7dTqVqQmJfItpM8OC7Y03nK8YqpSyONN8o6NoaMtHi5vjaxslclSIjexAgrgeBYd36LWSGHHoaUElrczTBtHaQGZmuL2u6nphRRQOIJUK9xttWVi0Q0Gg2EQI6YMhgvK/R+b7JsC2HyoYY75UZuPupHpUwoqDaw8iccvU23YiECxk8EPUZ15wjLOiK8zx7L5ZHlzeDtgSA7WluKvTg36pgDuLodv31PA9UKQxhcGS8H3X4PFEK/hG1tnfVkx+6UEeLY1e1XKVZpPlq/gjRDBHSy2w7T3AYhivxXMuKrVUjgx+KWyRzZWCM9SPxqwm3D321Mm9/UQuPFBuKoUwO0fTmw+s8FgMFwajJgyGC4oYXxTAHZHsfWJmnnAp0Jx7QObwtF0gkpEkS7bpCvRJ5v1fFOub9F2J3tABM2njI5Eb9tpPl3enDky3bMsdjZWY69OnfJNAeTTQVR62OqMVnBvFV4Zk8gHgTD6wlaQzjeJjYWzVSni90sdrCzi2NP7fyCYJfXJ8pUgAn3ISy7AY9ZCtfcB+AildiCmqo3o0wuVByuPMmOH5Z65D6A7cO+baayQYmiQ9SeKdMiqlJ2H1/6dmXZjMBgMLzRGTBkMF5SwvimAzUcKuz37vhSK29+xWTqYTlApX7H6MDtxLNK0aE4WrfutbKjhpW1SPBvhnwJopDI8Xpx9BtX+2lLsc6fO+KYA7q5O902tFby2Dm9sDr++J6Suhih7agVvbp6pSomK1y/lWprnM1alHKX5aOUqHcse2SG6wxId7NC1xqaTwhMdm19q6WkaawohpQla8+5/PU2qM9vxWB24+kChQgoxpeCu8UsZDAbDGYyYMhguMPd+NNztlChuvqdnTuc73saf2Kw9m247tqNY2In2bL0rinrXN1VqZyfMnDqhSJ46GUb1xlUzeR7O2vKnFI+vbwyN1o6KM74pCAIiXl9nqimxWgXx6m9fO/1UWBq+/3o4IQVwbx2GVYd0vH6p7a3RgRHjaGubj1av4ujRQqpCpjucN9zr6IvieSMPEItfymop8rvp0HOlLIFMXXH/j9Ok27MfzI0H0yWBagvWPzfz7gwGg+GFZbYeCoPBkAhf/An43v8Bnerk2xaKisUiVDbCZcANQ6G49iCF3XLZvesxIUwPAPEVS08zNDdc/HR0vqJKPYXvg9aK3WaO6/kmqEnbV3zGCq+zR2rEs9BIZfh45Qqvlveww8xy6qOez1FdyLNUa6Di8FAphbdawDqsnl7qbxXgSQWq7bNiaxQa2FoIYtO/+SwQWF+5HiT/hSGXghuLI55zwS9kw21nSurZNOXF3KTckTM07BQPl7aCVswR93XQPAkxnPfUfTxN3Q2EfaWSjtYvJbD+MIv2w31mLYFcRfHKrB6pLrkSLO2o0GEXSsObP278UgaDYThNx+a9/RHdEC8BpjJlMFxgXvnTwUImLNf/RKPmqE712PzM5sYHVuhtaYHVx9GGEWgVCCqAw1YuVBAFBHHpj1gfW3lo2yk+WrmCo62pB/s+ubI29UJ/GpytwtkqlOq22027XwX8wHX46R+EH74dXkgBfP7K0GqYKIW7XgheoIgR4LNrW6d9YyGopDInqX0jDstD8ZCN0D4pCKpST+vBYGjPh1I92gpstmhj18O9By0flg40d781n5BC4Pb7Gj1Fu2IqD9//V2ffpcFgMLzIGDFlMFxgtAVf/A9BhezHSbWDMAorgqLJ6q7Nne+EG+wrokiXog2jcH1FsRhUP3zRHDRzoUtuLVI8ZmWslcuxbB6sXKFt2VMJKjdlxxpG4S9mhwuChSnDKBTw1lW4vQrXl+BH7kEm5H038kNDJ4LtKtzNQrjtTMnhyiJOarqGiWI6z+OlzbGvhw88Yh13Cp8UBO/BqhM8D+Vq+kyg4TwoD1Y+DRc6oX1Ye6a5+R0bNaeSnyZ0okcqDzd/aK7dGgwGwwuLEVMGwwXny/8J2FMUFDYfKawpF0ujWDqyuPetFJYz+csijjCKStPG7Z5B32vmp9p0jRxPWR5bofK0xUcrW9Tt9FTBFHtrS7h2TF+fSuFsLCLDeqrChlFkLPjqLdhcOLl9NgU/eHtygp+t4c0hUehdxFL4C9FHojuWNVUUugA7uSW2F9eGP1d9t/uMNVqkpnr/yLFXKth2sZTFjbDFb3k7XOiE8uDKQ4trD2abI9VPqjld6ASATsHbf8W0+BkMBsMojJgyGC44V9+G3Hr42ytR3PlWNO1+APmq5vU/TJOrqIlJf7ajIm33s4BSJagMeKIptrJTGcJKLLBHYaxQEqV5uLzJUXb87U6hFI+ub8UWRuFuLg6vTtkavnBlfIvdej4QTYXMwDe8BPf/vmvw2sbolsEvXoMR1SFRGndzKfKVtQCf3rwSutrndGdIHeSXJgqpp6xQJzN1iqMnHMehO66i1oqu6pouWeT2xodOaMBy4O67KTY/i8De7MPdd/TUVWttw9v/0fy7NxgMhhcVI6YMhguOUvD9/ylYU2iUXE1x/UOFjqhKlHIU976RYvOxNbbtT3xF9iBF9jCabBtXFMXSyQPfnbI6BbDPIkXy41v5lOJZYYVHi+t4ShHGnNTIZXgeU7uf5NPIqHa31RzcWR3iqwI+twlfuBqIplGq01JBu+BXb0FmYB+3V2ApO/q+SCwtfjsbqzQz6VCesGoqw4PVazTt9EQxu8ciZXLTx+GLYqe/KlVJT5V8Nw7tKNY+zv3/7N15lGTpXd757+/eG3tE7lvta1c13ZK6JZWQAG0gGS0DgzxgLJBAwDDCcMTAMWNjNJKRhUD28ZlzxjYC3DZCAjMYxIh9GMEgiUVbd0vdLfVW+15ZWblnRkTGdu87f9zIqqysXCMjM6sqn8850VUZeeO9783IzrpPvu/7e7EVgpQfQXbaOP7lJPmp9nx/7T5jpMqsay8rgI590PdgW7ogInJfUpgSuQc88kOsu/hAz2WjMNG+/8kNY+B8wKGnV572Nz/dz99A2eaFyjWfWj0+Wz3ymamub3QK4BodzJJadW1UMZXhZNcu5oLEmm7AR3s6KGdWb7cVjf7C8oUYDnbFa5rmw0Q6gG/eH6+NWsvCHo945OrV++L1UQCF1KrTCF06gUu3twhDMZPiRk8nbpXpfQ64lu3iQkc/oeetWgRknCxjq4xKLqfhYKJyazrk5FSaRjuqjjjoO5VZcYTXC2HgvM+hryYI6u35vsqPQs+l9U3vAwgycOIn2tIFEZH7lsKUyD2g6yD0rXOPF8PY+7SHv4HNfJeSm/Y4/qUkuanlp/15DvpOZtqyfsoDJqdvFUO4UsoRrvvG1rhIN3MkVg0+Dd/ndOcAY5nC6jfiZpzf00/YzsoE8/3oyy9fBt0snu7nW7wu6tX7IJdYZ+BuTvt7eAgeHIBHdq24l5XzfOptHpVq+B7n9w6uGqRqns+ZziEmMvkVp/XNGyfL8Crr5ZYTOeNKMX/z+6RS86jW2/NPZeFqkqDsLbkJtQ8ENTj8VIL+i8GG10fNCypw4Ovrq943z0Xw0h9sSzdERO5ba/oXwszeZ2ZPmlnVzD6x4Pl3mVlxwaNsZs7MXrlMO583s8FKVwMAACAASURBVMqC40+26TpE7nuv/QVIrPNe1g/bu35qXtAwDn4twcC5uHz64ts054yg6tF1aePrp0JnjE6mb+aK0HkMl7NL3pCuzDhHLyWSq48kmXE918n5jj5C81Y8PvR9zu8ZbPv6KZcKCDsyyw/CpQLcS4bgpUPr29B3Md9gd4HKw7sIO1YqThHF66XaxAEX9gwSestPoHPARCrLqa4hKkFi1a+xA0YocJ3O1kYLHVQaPtO1W9+34xPrHwldSnLGJz+cXHKanRdCbsI49uUk2Zk2/o7TwaFnvFXXOi7FPDjyFsgPta87IiL3o7X+1L4GfAT4+MInnXO/65zLzz+AnwLOAV9boa33LXiN9lMXWaOHvg9SLdzLZmeMoTPtWz81zzD6LwUcezxJftruWEvlIiMzmiA12YbVJpHdNjo1XslQC9d/0+kwztOz5nU0pWSaF7uHmEmufHwpm2akp7Pt66fqe7uXLDbhzHCeUX/JbmqDnevel+m2toAonSDsylI5PkTl+C6i5O3vmfM86gOdzbVY7XGjp5NSOrXsaNqcn+BM5xDX8j1Ea5jW54BrdLU8tQ/igdSLswXmO9VoGGPT6y9esZhXN3pOp+9YJ+W7eDRq37MBB59OEqxzGt5qhs4a6SLrXicF8RrNb/9wW7sjInJfWtO/jM65Tzvn/hgYX+XQ9wC/7dxyc1NEpFWeD9/+IUjk1v/avgtGbmpz5vWm5oyDX02w77mAoMZt1cIsMnrOZvArG7tJbDjj+lhmwaw341KxQNTSTxrjMp2MkVvTTXLo+Vzs6OVcZz9VL1j2NSN9Xcyl1jDqtQ5RPkWUvX10z3keYSHD3Ev3Ut/XTf1AD1EmgWs1yHlG5dggeB54RtiVYe5l+6jt7r4VYJyjvrtzYxezwGw2zfW+7iWn94VmXM11c6ZrMF67toYRv4i4/PlUK8Um5jljopKmFt0qyjE6kd74/zMR9J5O4y+YZmfEJc/7Lvk8+MUknePtqxQ4r3PY6Luw/nVS83a/CoYeaXOnRETuQ227tzKzA8Drgd9e5dCPmtmYmX3BzN7YrvOL7ASPvGd9e07NM4wDX/VIFTcnUBlG51h8Y9h7ybtt6p+FRv/zWbzaxkJGGHrMFG8VPyg3EsxWUy1OwTJG6GCYjjXffJcTKU52DzGc7STE7gxNZpzbN0A98NsaqGp7u3HEISpK+FSP9lP9pqFbhSDMqDw4hEv6a1pPtJDzjMrxIVxm0Qa9vkd9Tzdzj+6n3pGJS7Un2nPDX04ll1wnNT+l74Xu3Uykm2uj1nA5IcZ5+ii2UP58oYaD4dKtebRhCKOT6RbW5y3goPdsmmTJvzkt1QshP2Uc/0qSwbMBXhv3rpqXH4N9z1pL66Qg/oXNm365zZ0SEblPtfO+6oeBv3fOnV/hmJ8HDgN7gMeAPzOzI0sdaGbvba7TenJ0dLSN3RS5d/nJeO1UkF3/a73IOPS4R1BZd2HAdZ1j6Gwinvo3dWvqn183+l/IYo3W2w6dcX00c1tNhsul/IZudifIcZmude0vNZ4t8GLPriWn/oW+z+kDuwh9a8cyG+q+x+Wjexg7OEBpbw9zj+4j7F5iaDLwqTwUF5BY63mdZ1QP9xMtt07Kg3o6yeP/+Ft5/rUPU0onlz5uHaqJgLP7dxEtmpZYXueUvnl1PM7ST4X1bbq82HzRiYVtjE1tcFTKQffFFKmpABfZbVP6Dn0tSXKDo7XLyczAwae9DYW0nqOw/7Vt7JSIyH2s3WHqkysd4Jz7inNu1jlXdc59EvgC8PZljn3MOXfCOXeiv7+/jd0Uubed+GfxjKxWBHXj8Jc9vFp7+7RYas449LUkB76eIFs0LDT8itH/YnZDFf5qdZ9i+dY0rNaLUdwyQ4bz9BCu42Z84dS/in97GfV6IuD0/l1Eq1SoW0k1EXBpVz/PH9nPWE8np97wUl78todWXBvlkgFzD61cke/msZ5R29dL2LtyRZOx7g4sgmI+y5n9uzl1YA+z2XRLQbHue5w+sJuweQ0OKAYpznQOcnYdU/rmFUlymgFqBBsrGumguqjoRBTBjfGNlUMvXEuQGUngNYygDgOnNm9K37xkCQ4/0VrlvnmJPLzpV9rYKRGR+1xbwpSZfRuwG/jDdb7UsXm/JBe5LyXz8OqfgSDd4uurxpHHPbwNjBKtVWHS4+jjSQ49laAw5RGUfHrOtNhx4tGpkbHbR1LGKxnK9WBDFdfKpDjFwJpKp9/2ukSKU12DnO/soxzcmmZWTSU5u29o3RX+5pIJzu8Z5MVDe5noyOM8uzlKUw8CitmVv3Yuk4yn/K0Q5JznUR/qojG0cjWTyKy5/xNgcQArZ5Kc3zvEi4f2MpXPrvlLHnrGmQO7afg+zmAmkeZ01xAXOvspJ5JrntIH8ds8TAcX6CVk7SNxy/bNGedmO1jYgfHpVOulyR0MPpOmcCVNomrsftHnm/4hSf/VzZnSNy+owtEnPPwNVu7MD8LRt7WnTyIiO8FaS6MHZpYm3grDN7O0mQULDnkP8H8752ZXaKPLzN4y/1ozexfxGqvPbOQCRHaib/nnceniVqVLxqEnvTsq8G2W3IzHoa8lOfpEQD0ZQRTvRdWKciWgPLfwt/vG+dmODW+q2sDnDH2MrrEwxa3TG6VEmjNdA5zpGmA2EU//K2fSXNjdv6Zy3qV0ijP7dnHq4B6m89k4DC16WeQZVwb7Vg0PUT5N9ejAkoHKeR6N3jz1vV2rXtaNns4li1pEnlFNJbi0e4Dnj+xjvCO/4shQZHB23y6qiQST6Swnu3dxqaNvTaXOF5uf1jdBri3r0iIXV+9rRP5tz42MZWisN/hEkLkRcPwvOnnw8xkOfD3gwS8k6bkeYO3Y8HcFXiMOUkED1jxHcgmJXDwq1eYq/yIi97W13o59AJgD/hXw7ubfPwDQDFnfzxJT/Mzs/Wb2l80PE8Tl1UeBMeCngXc457TXlMg6ZXrgjR9urbLfvNy0sf9pa/seVCvJzvq85g8KDH0tR3o0gUWsew+cyBmXh3O3rZ0KnceFmY4Wq/stFBemuLDOaX/zKkGS8519nOoeZCqVY6qQ5/Jgz5KhoZoIuN7bxfNH9nF2/y6K2fSSIWqheiJgvHP1zcbC7hy1g723BSrneYQdGWqHele9W64FPiO9zVGpZUSeUU8EXB3q49ljB7i0q59iJnVb2HPAs4cPcL6nj+d7d3M130PND1rak2umOXpYIbHhUuVx54zJSprZ+u0VXUbH07i1BikHyVmfnrNpdn01z56nMhx4LiBT9ukc89u28e5KvHocpJIVYAPT+zDoexAe+idt65qIyI4QrH4IOOc+BHxomc9VgCV/zemc+5UFfx8FXrXuHorIkl7zM/DEx2BqpZIvq+gY89j/dMTlRx3R5i3luI0fGg9/Ps25Ex7VXIpyd4PKUI1KNsK3td0P1uo+E9NJertuLf4qNZKMlrMMZMsb/s16iRQnGeAgk2Sos95yEjU/waVCD0G2g55sAT9yVJMJ6r5PplxlLp+hmgjAbF0DCZFnXBvopWu2TBCtnEIb/R04jNSFMcAIu7JUj/Svadjh8lD/mkutx2vDjImOPFOFHBZFFGbnaPhGsSPHN3r2gK29qMQd7QPX6WSCbPuqJDqohh5XS7cH01rdGBnPEK3S2aDskRsNyIwl8JxBCB2jPvuf29ypfHf0o9IMUlU2FqSIpw2/4xMalRKR+5+ZfR54DTC/4OHqRva+XVOYEpG7jxfENz+/+zaol1tvp3PMI3jCcf5ERLRFPxESdePo40kuvKKOHybIjicIg4i53jpzQ3UaSYfZ8nuNhs64diNLZ6FOsGBjq+tzWTqSNTJBY8OrMUN8ztLLAEX6Kba0OqfhBwxnuzj9wACDxWmOVUe5kuuiN5pruXvO87g22Mv+4dWrnM7t6uLC/iHS0yWSXWk6y5VVXzObTcdrs9Y7y82MqVSGiXSeqcEMI40CNS8gbxU6rEqyhbG+WVJcpau5NqqN+3c54+xM5x1tXrueW3qanAO/amQmAnKjSbya4TluFj7pueKx+8zWBqlUCY483pzat8HzBml49Edh4CXt6ZuIyD3gfc65/9qOhhSmRO5hB14PR94Kp/4Monrr7eSmjaNf9jj7zRFRckO1HNbMD41DX01w6WV1Sl0OGh75kRT5kRSNdMRcX425vgaNhMMHwsUDJc64fiPD3l0Lk6RxbqaTB7sn8K0dV2HcoMAUGfYyRYb6qqEqxCiRpEiaWVLU8fEMLhV6eaJwGHMRDzRucGxulEJtDjC8ddSjcwaThRx9E9Nkq8uXZawkE5zev4vQ98HAIsfekTF6p4vLviYyuLSrf8UCFjf7AVT8BMVEitlkllIiiTmoeAHn6KOR8HFAmTQjODwceWrkqZBj5XBVw+caXZQ2WPJ8KZGDS8U89UVDsbOlgJlyIn4nmuEpNROQnfIJZnzMGR7cnALomv8ZuuDTd9Hf0iCVmYLDX20Wm2jDeqwgDW/+6Mb7JSKyEylMidzj3v6rcPYzGwtTEBeleOBLHudeHdFIb6iC+Zp5kXHg6QTXHmowORARNQNTUPEoXElTuAKR76h2NKh3hVQ6F4YrY2w6TXdXlVzm1sKvhvO4MFvgUMcMG6hOfpsacUAoMMdepom35XU4oI5PheD28AS3RYWFy9KceZxODFJMpOlzRXL1Gvn6HB21KsmwDnirhitnxqXdAxw/f2XJqFFKp+Jqgp53c4TJNQtY1IOAwfGpJV93o6eL0F/6n4U7w1MCc/H1zN/Pz1n8dYoWRM74SowQY5o0RdJEt4WrObLUSTZnW4yR5wYFWPfkytU5Z0xVUkzXbq+KWG/AxZNdpIs+2WmfYDoOT75BtGD63G39cbDvZEDXiIdtYZDKj8LBZzZW/nyhRA7e+h8gtXJxRxGR+81HzezfAieB/9059/lWG1KYErnHFXbBGz8En//FjU33A0hWjKNf9Dj/zRHV/NYEKsPY/XxAUAkZ3RfesXbLC43MZILMZIIOIAoc1UIcrooDdep1jygVYhgeDudBsZ7iSjHP3nxxw4HKuXhaYTX0mQi7OBX20mgYKT9kIBdP1/Ns+fC0ZJsY1+mkYT4DyVmKyTTXc2AuIlevUahXKNQqcbgyD3NgC98NiwtYjHfm6Vs00jSdy3Bhz8CSe1I5zxjp7aIeBOwdGbstUM0XnYg8qHs+VT9B1Q+o+AkqQZJKEJefXxieFg6KlEhygR6iVeoahc0LWBiuHBGRM0r1BNfKeTJ+g3TQIOWHJP2QpBdtfC2PM2aqCZ4b6aZa86lWfSrVgErdI3UpRd+1FMGi8LTc979FcOi5gNyEh7Up1KxF1zVj73PWvlEwg95j8LIfak9zIiJ3gT4ze3LBx4855x5bdMzPA88DNeCdwJ+Z2aPOubOtnFBhSuQ+8JqfhSd+bWPFKOYFdePIlzwunogodXJztGgzGcbguYCgCsNH7wxUC3mNBeHqfJqal+Pc0TJud41UMiSbCsmlQxqNLIFFTNXSRM7wDDwcvjUfXtScCuiInEfkjLD5iG7+yc11Nb4BDhrNj5NhSC4Zkkk0mmNU6xNhjJGnSsBepuIgaB7FZJpiMs1wDjwXkW7USYV10o062bBBMqwTRCF4xpVd/fTMlDEXT4a7NNjLRPfKQwzOM8a7C4x3F+gZnybhIup+wDd272U6naXhxSNr8aiT3b4cZ+nlREyS4RpdLa1rCgGcT8MZI3NZyo0E5UYCvwpmjsjFocYDPHM3H77RfC8jvOaUzvh98xa8jzT/7tEXFPn883sA72ZABvCqRse1FBbZmn55EFTh8NcTpMtrrJbSBhbBnpNG19U2BimaRSc+qaITInJfGXPOnVjpAOfcVxZ8+Ekz+wHg7cB/auWEClMi9wEvgH/6afjNb4XGXBvai4yDj3uMHnKMHHG4Lar013s1IFX2uPjSOi5Y48hY5FE4k+NGBkppx8SCTz1LJweHSnR11jd839tYlJdqkc+ZmS5yiRp7siVSQSMek1lPdT6MWTKcIslBxklz+07KkXmUEynKidvLd+MciSikozxHtD9iqDhNEEVUEwkqXoLQ9/GieLKd56LmiJIRmdd8xG08+8BDHJgZo+InmMjmb1bwi9Z4HSHGVbqZJdVSkHLOCB0Ml7NMVjK3tRGHrNtHiSJn61/Q5yCMjM+d2kO4OKU76DuTiYtJrKGpwpjH/ucDgoi1l0/foGQZDj3lkdpo6fNFEln41n8Jgy9tW5MiIvcqxwbKVilMidwnhh6FN/9b+Jv3Q7208fYMY+C8kZ9wXHhFXJhiK6b95Sc9jn0pyaVH6lTy7s7CE0vwIug7lWHkJeVFu+d5XLie54hfpJCvb7jC31JK9SSnppNkgjq7s2Wyidq6QlUERPicoZ9dTNNDefWXmlH3A8YLBSbyecZLkzjzuZ7tWPcwwwtduymSpHct511gjoCL9BLir/v7InJGIzKGSzmmaik25Y2BeCQxNF680Em4xBBrx5UkibJ3syrf8h2GPWd9uq/GhSa2okALQOewse85w4toS6GJeV4Ag4/AGz7YtiZFRO4JZtYFvBr4W+LS6P8UeD3ws622uQUTeERkq3zzT8P+14GfbF+b2Wnj+N975Cfi0LIVEnXj8JMJ+i/6eGvYVNhhBFWP7kupJT5rnLuap1wJaEuBv2XMNRKcnenk1FQ309VUvIHwOs43v47q0jo3DG7g8eXsYc7m1raH1EIhxnl6ue46OUs/9TX8k+CAMbLN49cXpCIH1YbPhZkCL0z2MFVLs2lBCggjOH2xg0bjzutKzvjkridXHWFKzMHxJxP0Xtu6in0Wwv5nm0EqtLYGKYBEPh7JXuNWYiIi95ME8BFgFBgDfhp4h3PuZKsN6kepyH3EDL7v9yC95DbarfMbxoEnPIZOGraGcNMO8chYwKGnE/j11X9YuchIjyZITdw5J9FhnLlcoFLzNr3uezUMuFDs4MXJHiYq6Xjd1RpvhiOMImlOMcAciRWPdRhlkpy0AWa8LBfpobGOH+kOuEI3ET7OjAoJTjHADEsF0liIcZFeRrhzj6blTxSvXSrXEpyb7uTFqR5m65s4GtUURXDmcgfV+p3fD17d6DmVWbUKX8cNj+OPJ0mVtm59VKoIx7/o0TVibavYt1CQge//FOSH2t60iMhdzzk36px7lXOu4Jzrcs69xjn31xtpU2FK5D6T7oJ3/ml809ROhtF3yePoVzwSFfC2aK5Tbtrj+JeS5KYMf5VhEIuMnrMZvOqdN6FRZJy62EGl6m/JfMV65HO5VODZ8T4uzBYo1hLN0aqVb5AjoIHPWfoYobBkVyPgBnnONqfZxc95XKJnzVlxgixFUjfbd802LtPDRXruGKWaIcUpBiiRWn3vJxePQtUaPldLWV6Y6OX0TBelRhuHTFc4dxjCmUsdzFWWmMnuoPd0esXvJb8GB54P2P98sCkjQ0uxEIZOx9sTJOeARvvPmcjGo9eH39z2pkVEdiytmRK5D+19NbzhX8PffaQ966cWyswax//OY/SI48ZBB/7mb/IbNIyDX0swORQyfCyEYPny456L10/deEn5jsGPMPI4ebGDo3tnyWUaW/LrJIcxU0sxU0vhWURXskp/pkLSX7lghWtW+5sgy16mKFAlIh5BukwXtUU/vh0wR4Ix8vSz/Ma8ABUChpcZXYqLYqQ5yQCDzNJBhWt0UV5tA10XvzZyMFFJM15JU4u29p8Yc1APjdOXOqjWlq6aUriWJFHylx4tdNBz1WPX2SCOqFsxrc9Bxw3Y+7xHEG3eOc2HvgfhTb+8Kc2LiOxYClMi96lv+5fxZr6XvwRhtb1te84YPGN0X3Fce2lEsWvzS6gbRs/1gM4xn+sPNJgYiJasMuickah4dF1KMnWgtuTnT18ucGhXiY5CbUvXjUTOY6KaYaKaIeGFdKcq9KRqJPwG5gyLN5S6dTxGhM8FepkqBgxkytT8BMslsAhjhAIp6nSw9JvewOMCvStO03PNvj5VHmK2lmJ3vkQ+scSu0M6IcISRx2wtyXg1TbkRLNu/TeWg1vA4dbGD+hJrpACSsz75a8klA0tmxjjwQkCiYlu2d1SyBPtf8EhPsSlT+m47Vx7e+Sdx8QkREWkf/VgVuU+ZF988/ZdXweQ5iBqrv2a9khXj4BM+s72OKy+NCJe+T20rv2HseSFBz+WIKw83qGXurPjnIiNzI0k95SgNLRECMM4P59jb8OjtrmzLQvx65HNjLseNuRyGI5uoU0jU6ErWSfgNaIYrB4zNZRip5LhU6WIwU6Y/W152M2KHcZluDjFOltuvPcQ4Rx8NVq51P11NcqVYiEuXY5yd7iLtNzjWOYWzODwV60mma0lK9QQNt80zxh1Uqj6nLxWWrNoHEJQ9el+8c52UX4O9ZwMKI96WFpgYPGf0XbB4uuwmTyNMZOHdn4GOvZt6GhGRHUlhSuQ+luqAH/k7+M8vh+J1Nm0+XmHcOP63t6b+2RYsS8oUPY5+ZfmpfxYZHZdThAlHpXepJGlcGc1SaxhD/XN425gHHEapnqRUT3K9TByugjpJazBTTVGNAnw/fvOuz+UYq6Q50jlFOlj6qxzhcZ5ejjJKqvlViYCL9FInuO3bYH4D21roc2U6y9yCAhTONT8feljkcbGYp1RLrqvQxaaLoFQJOHO5sGyhD69q9L1we5CyEHqueew6F8RXswVByiLovmoMnbFNndK3UJCB7/tUPPVXRETaT2FK5D6XH4Qf/Xt47ARUpzbvPPNT/3ouO248EDExxKaHqoVT/0aONBgfivC8W4XXLDK6z6UZT8xR61h6ldWNyQy1hsf+XaV4tGcbZqjdNF+4oRZwZrTAbOnWlD4zRyoRkkpG9HfOcTXK0pOrUUjV8ZvVQG6FJMPh8Y1wFwWvRtJCTpa6ma2ncM6I5h/No0tzAcOjWUpzAXsGSpQrAZVqQLXm3TbSk0yE7Ombo1Cobf/XCnARzMwmOT+cW7Yz1oD+F7L4Ybw/lNeAvqs+/Rf9eHxuC6b0eQ3ovRzv2+YBVt+aL1yQgbf/Ghx7+5acTkRkR1KYEtkBeo7Aez4Lv/W69hekWCxRNfY86zN40jF2KGJsfxyqNrOiut8wdp9MMHDWMXagwdjeCGuGKouM3pMZRh8q08gtHe2mZlNUaj5H9hZJBtFWFG+7XTNEVSoBV0YzlOfuLIvunFGpBVRqMF1McoZOAALPgTmGesv0d1cIfIdnDt8cYXOD2VxQZ6qWvm2dlHNQLAdcH80yV/WJmhd9ZSS/bDdrdZ/zw3kSoxFDvXN0d1bxt6bY3e2aX6/L17NMzqSXPczCOEgFNcOrGgOXfXqv+PFI1BaEKL8G/ReNvosWj3xuUYiCeGrf6z8AL/+RLTuliMiOpDAlskPsenm8hur3vhsac5t/vqBuDJ3y6T/rGN/vGD0cV/7bzHvYoGEMnU3Qf8ExsSfkxoEwPidG3wtZRl9SIkwvPdexUg144VwnB3aV6MhvUWGKZigolRNcHc1Qqa7/R3IjioeIro/mGB7LMtBToa+7enNa4Mh4ilI5wcE9RTwvDlFTswlGxrLU6x5hC0mo3vC4PJLj2mgmPl9PBX+rRqqiuNDE2SuFZSv2AdCs6pid9Bi8ENA57MejaVsQohJzMHjB6LrSDFGhbe5vExafPwuP/hi89he27pwiIjuVwpTIDnL4TfA9H4c/+bGtCVQAfhhPb+q76Jjc7bhx1BEG4DaxpLofGv2XAnov+0wOhdw4ElJPGoPP5Ln+8iJRcukzR844fy1Pd0eFfUPlzZvKFsXTH2dmk1wby1BbYmPZ9Wq4eIhodDzDyHiG7kINq8FEJYkZnD3XQb6jxsRMmii0lkLUYmHkMTyWZWQ8Q29XhcHeCr7nsE36ukXNaX0Xr+dW3gg5hAf+ukD/pYD8pLcla6K8OnSOGP1XjeQM8fdOZFuyp9lCQQaOvhXe9h+29rwiIjuVwpTIDvOSd0KjCn/xk1sXqAC8yOi9YvRcccx1wuS+iMnBuOrg4mp8bTunM3qHA3qGfWZ7Iy68rA7O4YcQrpBfJmfSlCsJjuydJRlEbdmPyqJ4cKJaDbgxmWR6NnVzal07xaEKas8VKFxL0e9HEDj8qk8t16Dx4ByuzT/5I2eMTmYYnUyTyzQY6KrG66qw9uzu3BzBuzScY2o2tewxiaJHx/UkD/xdhsKYh7/JAcoiKIxB31UjO2aYv3XroZaSyMKRt8D3/ne2pUKliMhOpDAlsgM9+h7I9sMf/hOol7f23IaRnYbstM/u5xyzvTB5IGKmm9uKR7T7nB3jPi/7nM9DX0xy7XiVc6+tUCmE+Lb0Oas1nxfOd3JgKN6PqqVqf80Q0Gh43JhMMTWTorFZybHJGjDw9Rx+PT5Pfib+s5aCZClg4Nksow/PESU2Y1zQKM0lOD+XwK47OnJ1BrorZDLN+n+tXHoE1Xo8rW+pEbxgziM7GpAdTeDXjUNPJcjNeneUQG8XiyA7Bb3DRsewYd6CALXFo1ALJbLwyI/A2/+TgpSIyFZSmBLZoY69HX74s/DfvhOqs2zenLsVmDM6xqBjzCf0HdMDjqkDjlI+vu92m1ANMKh67P96hr3PpTn1qioTh2vMDdZpJB0+sHC/V+eMC8N5clN1DuwqrT5K1dwzKDJH2PCYnE4yPp2i2oZpfCudM1HySM745CcT+EUfh2PgnEf/5QC/mRQdjmJ3xOVHIlzksDC+6d6swRvnjOlikuliEt+L6CzUGOiqkkyFGHduULyYOQgdXLuRYWwqzfzBXt1IzvhkpwOS0z7WiPdq8mrG0acSpOaWScctsggy03H5/86xeAofQVyhD7e1a6GWE2Tgte+H172feIqliIhsGYUpkR1s76vhx78Cv/V6mJsAt403hn5o9AwbPcPgzDHXAcVux+wuRznX/nDlhcaxx1NcKvrMDKRoJCNqHSH17gaVQkjk3wpXpbkEbZa4aAAAHyRJREFUz5/rpL+7wq7+uVtrqebDE44w9JgtBkyXkhTLwbKbx27YgvCUm0rgF714dCSKA0ymCEeeTN2xAa1hFCZ9Hvp8hr5zARdfXqPaEVLvaVBNR/gOIm9zKvOFkcfEdJqJ6TRmjmy6QT5bp7tQJ5m8Fa4c4CoeLhlRLCW5PJIlqvikF4anelzUwS0ITEEFjn4tSaLGxtKhA78O6SLkJ4zOcSM5TRyewgVtL7UP9DYJMvD2j8HLf3S7eyIisjMpTInscH0Pwk88FZdNn70KYW27exSPWMVTAY2BC3eGq0omXvPkO26WQG9lYM2LjP3PB1yrNZjYC8GYB2MJOuFmuKp0Nqh1hkQ+2Od6GTfIv2KSxGCV0nSCCXyKc+0PTxaCX/EImo902SOY87FKc2qZAzd/cx/GYarnhsfu5wNsleoPA5cSpMoelx9uEF1N4cxRy4fUOkNq3XG48lxcRCFsc+lz5+KpgKW5BCPj3ApXFfC/3HN7P5drY0HoTxWNI08lCOZHitbAa0CyDKmykSpBrhi3E8wRfyP5d294WiiRhe/9fTj+XdvdExGRnUthSkTo2APv/Sr89pth7IWtLUyxFovDFUDkOapZqOagmnVUux2VXLw2KLI4bNwsKme3/mzWZ7j5uSgy9p5KMFeoUcu7+cEmgopHdtYjfTZJasYIA0foO4KqB2cHmNgV4TzIET/CfEiYigj9+LjIh8h3ON/FlQs9h2uOIFloWBiHOQsNrwFBaHih4Ve9ODCFzYIGzIeHBUEhvD08eiH0X/EZOOuvGqTmdY75BE8b5x+p4wIjNRuQmg3gShyuGpmIRjqino6I8hH1TEgj4XDWDLELvpbrHQzy5t8bB2FklMIEqVNpfKB71PDnoJGMj01WjFoBKllHNRmff/69HTjr8a2fSsUZKkn8HgXgReA3wK/HX1sLufmnRc0gGjQr7tW5M4Rt49qntTAfkjl492dg72u2uzciIjubwpSIAJDphh//Enzmn8NTH7/7AtViXhRPacsUAQzO3/pc5DmiIB69igKIfAibf0ZBHHQsikOI1zAsdAy9kCRKwPWjcfjxQlYMJntOxiNm47tDrh0L8Ys+fnHh2igXF62YHzWzeI+n+RaN+GMXzX+0hHDlETcjLjix7/mAzrH1r8vKTXscezzJhUfq1LPu5lIjc0ai7JMo+2RuuyJHFDjCtKORim4GxciLIAEucLjANUMk4OLplBbGf1I3aIAXes2AE4fHgQsBu08mCFaphOeIA2nowe4zxsAZ7+aasFtfkbWxu3S0aTWJLPQ8AD/wp9C5f7t7IyIiClMicpOfhLf/alxe+dPvhnppe9dRtcqLDK+23A+4pW64jY4JwHP0X4ILj0SUelc/jzmj72pA71Wfmf6IkSMhtVQc1sCIlhjhcIv+bJUfQbJsHHgmQbLa+jy8ZMU4+niCkWMNxoeiZt+XZhh+w/CLkCy2XlQjcPH3Vf8ln97L/qJAtPL5E2U49IxHuhiP8O0kQQZe+RPw5n8HfmK7eyMiEpur+Dxzsnu7u7FtFKZE5A7Hvxt+6ln4798D4ye3vnz6tokMP4JDT3mMH3AMH3FrKudtGJ2jPh2jHsVux42jDeaybsVgshFeCD3XPIbOBFgbFjR5zth1MkF2LOTyww0INmemmx/FU+0Gzvn0DPt3FMlYTX4UDnzdw3dsTg39u5QXQCIX7x/1wFu3uzciIrKQwpSILKlzH/wvj8Pf/AI8/rG7f9pfO3mh0XcpLod97tGIRnptr4sr5hmFJ5KUOyJuHGkw2+luFnLYcL9oTut7NqBjov1JrXPcJ/MVj0uP1KlmXVs2UzbiABXU4xDVPeKvPwBGsPu00XM5Xle2kySy0P8SeOcfQWH3dvdGREQWU5gSkWV5Afyjfw+HvxM+9f1xoAqr292rrWENIz3rOP4Fj8sviZgZYD1LcsjOeBx8Kkk96ZgaCJncF1FLOmixvLsfQbpk7H8mQaK2eYEiWTWOPJFg5EiDsT0rT/tbiR8CDnpGPDqv+mSKtubiGLf1pwQHv+6RKu/MaX2v/ln49g+Dt4lblYmISOsUpkRkVUf+EfyvZ+Cvfg6e+4MdNErVnPa3/xselS649FBELbu+JhI1o/9KQP8VqGQjpnaFcSVAPy6IsdraKQ+gAUOn46lxrQSS9TJnDJ1J0DESceXhBvX02kapgijeaLdrwqPrik9+srUABfFo1q6zRs/FeFPeTdkA6y6VyEHXQXjHJ2H3K7e7NyIishKFKRFZk2wvvOMT8M3vgz9+D0xdjAtU7AReaGQnHMe+4DF20DFyuFmtbp3SZY+hsx6DZx3lDsfU3pCp3ojIA9+DxqK84IXQPeoxeCogWPzJLZCd9XjgywkmdocMHw2xABbWI/GIQ08E5ItG92WfjjFv3WuhbuOgYwT2vuARRGxsE957jJ+CIAXf+X/Ay38s3kNNRETubgpTIrIuu0/AT34DvvZf4a//BTSqO2Tqn4tHSAYuQc8V48pD65/6N88wcjNG7nmPPUAt7Sh2RZQGImY6IsIg3lB23wsB2dntvaM2jN5rAZ03fK490GBqV4SFkCsZ+Rse+UkvnsLXhpGjZAn2P++RnmbHrY0KMvCSH4Dv/PeQ6Vn9eBERuTsoTInIupkHr3wvPPR98Jmfg+d+fwdN/WsYAQum/n1TRC23sSaTFaPnuk/fdR/XcHRch/ykURqCUgfUE/FGt55B5G3NnrJBcw+s0OL1T7kZY+8fJ7HQMXHIUU8ZUZty3k6f0td9KJ7St+sV290bERFZL4UpEWlZpgfe8Vvw6p+Gv/rf4MqX41EqtxV3+9vs5tS/L3oUBx3Dhx3VfIttEe+71HMNBk77Nzev7b0Wf96Zo5aBahaqOUe1y1HJQzUVb0ZsUbNqHmA3/xKvx5p/zOceaz7h3II9ryx+LlWDdAlSk0aqFI+OJcvcsQ9U32XH5G7HyDFHlKDlqn9eHfovGX0XDB921JS+ZB7SXfAdvwwve7em9ImI3KsUpkRkw3a9At7zWRj5Bnzug3D2MxA2wDW2u2ebrDn1r2ME8iPGXC9cOxIx17m2l/s3N681es/bsuuizBmpMqTKwJjBxVufizxHGEAUxAUtIp/mx+7m3zHwGvEaLK9h+OHCj8Fv/n2txSIMo+ea0X3NMT3oGDnuqKdY80hVUIWBi0bPJcMz7lwsdh9L5KBjbxyivukfK0SJiNzrFKZEpG0GXwrv/GOYPAd/++F4+p+LIKxtd882WWR4QG7McWTCo1qA4aMRxR6WXFPlO6ABA2eN3su2oYINXmR4NeCOr/EWVP3D6BoxOkccxV4YeTCikmHZcuqJOdh13ui42gxRO2hdVCIL/Q/Dm34FDr2pOYIoIiL3PIUpEWm77sNx5b83fRS+8O/ga/8FsB1Q/c8ZXgiZKTj4tEc9DSOH4tEb58d7RXl1GDxldA0b3n2yNsgwCuNQ+IJPqctx43hEsQDmQ+QgOwUDl4z8jTh07pTpfH4qDk37Xwvf/hHY++rt7pGIiLSbwpSIbJrCLnjr/wnf/kvw4h/Bk78Ow0/FN5iNynb3bnN5DSNVhP3fMKZHIqYHHT1XPHKTa59Ody/KTRmHvuJTzcTrqmZ6HUcf94lXaN2/1z3PfAjSkO6GV/w4PPLDcYEJERG5PylMicimSxXim8pHfhhmh+HZ34MnfwNmrkDUgKi+3T1sr0Quvq4Db4AT/wx2vdLjxU/H1zxduT+veaFkAdK+8bq3GY/+WHy9T33cePb/igtf1Ga3u4ftlyzE659e+i54xf8MQy/XVD4RkZ3AnHOrH7XNTpw44Z588snt7oaItNnYi/D0J+JHdSb+rX69uN29Wj/z4ups9QoMPAQnfiouG5/pvvPY8VPx9T718XjaY30uLkJxr0sW4tB07LvjsvkH3wjeorVTUQPO/Q189T/Dmb8ELwlh5d5cU+cn42l8UR0e+K74mg99x53XLCL3PjP7qnPuxHb3427lH3/EpR/7q+3uBgDlNw5t+XulMCUi2845mLoAFz4Pp/8CLnwuDhnm3aXrrCwebatXoOsAPPA2OPyd8dqY9Bor+TkXl5I/+afxNY+9CIkM1Ir3Rmn5ZCEOQdk+OPxmOPZd8MD/EF/DWoR1GP4anP8snP5zuPbVOKCE1bszXHlJCJrhadeJ+HoPfQfsejl4muMhcl9TmFqZwpTClIjcZZYKV9XZ+EbdRVArcWuTpE3mBXElNhfFAa/7MBx9KxyZD09d7TlPvQyXvwTn/roZrk42w1Xp7hi5SubjAJTtjcPT0bfF0xgLu9rT/sJwderPYfir8Uiln4jD1VZuCh1kmsGuFr/vuxeGp1coPInsNApTK1OYUpgSkXvA3ASMn4aJ0zD6Alx/GsZfjNddmR/f/EJzM9ownlIW1oFlRnksiG/UPb+5109z49r6XBxiOg/CwMMw+Aj0HYfeY3GQCtJbc721Elz5UhywRp6Or3n6YnxdQRqisP2jdkH61tS1sAaF3dBzDIYejUPEwTfEz20FF8Xv7fip+HHjWRj5OkycgfJY/B5Zs67F/Hse1ldei+Yn4yBk8+858evqc5Drh+6jMPRIXMK891j86NijvaBEdjqFqZXt9DCl36+JyD0h0xOXll5cXto5KA7HI1nVmXiaXHU2/rM2C5UpmJuEymQcntLdcVupjniqWjIfT9lLFuI1Tj1H489tt2QuHgE6/Obbny+P3woYo8/DyDMwNx5fc70cPxpz0KgCDrxEXAghasQBLEiBn45H25LZ+PqTHdD/IAy87FaI6Ny3vSHCPOjcHz8Wfw3CWryXWXEkfo8Xvt/V2fi9npuMn0vl4/c83X3rfU413/dkAfJDcUj2E9tznSIisj3M7AHgG8AfOufe3Wo7ClMick8zi0dLtmrEZLtleyH7LbDvW1Y/NqzF4SJqxAEiyNwfFeb8JPQ9GD9ERERa9DHgiY02ojAlInKf8pNx+BIREZFbzOydwBTwReDoRtrSTHAREREREdkRzKwD+DDwc+1ob01hyszeZ2ZPmlnVzD6x4PmDZubMrLjg8cEV2ukxsz8ys5KZXTSzH2zDNYiIiIiIiPQ1M8v8471LHPNLwG865y6344RrneZ3DfgI8BZgqV1EupxzjTW08zGgBgwCjwJ/YWbPOOeeW2M/REREREREljK2UjU/M3sUeDPw8nadcE1hyjn36WYHTgB7WzmRmeWA7wVe4pwrAv9gZn8K/BDwr1ppU0REREREZI3eCBwELllckSkP+Gb2kHPuFa002K41UxfN7IqZ/ZaZ9S1zzDEgdM6dWvDcM8DDSx1sZu+dH6IbHR1tUzdFRERERGSHegw4QjxD7lHgN4C/IJ5915KNhqkx4FXAAeCVQAH43WWOzQPTi56bbr7mDs65x5xzJ5xzJ/r7+zfYTRERERER2cmcc2Xn3PX5B1AEKs65lkduNlQavTld78nmhyNm9j5g2Mw6nHMziw4vAou3wuwAZjfSBxERERERkfVyzn1oo220uzS6a/651LaQp4CgudvwvEcAFZ8QEREREZF7zlpLowdmlgZ84kVa6eZzrzaz42bmmVkv8B+BzzvnFk/nwzlXAj4NfNjMcmb2bcD3AL/TvssRERERERHZGmsdmfoAMEdcde/dzb9/ADgM/L/EU/WeBarAD8y/yMzeb2Z/uaCdnyIurX4D+D3gJ1UWXURERERE7kVrLY3+IeBDy3z691Z43a8s+ngCeMca+yYiIiIiInLXaveaKRERERERkR1BYUpERERERKQFClMiIiIiIiItUJgSERERERFpgcKUiIiIiIhICxSmREREREREWqAwJSIiIiIi0gKFKRERERERkRYoTImIiIiIiLRAYUpERERERKQFClMiIiIiIiItUJgSERERERFpQbDdHRARERERkXtTouSz+yuF7e4GAGe24ZwamRIREREREWmBwpSIiIiIiEgLFKZERERERERaoDAlIiIiIiLSAoUpERERERGRFihMiYiIiIiItEBhSkREREREpAUKUyIiIiIiIi1QmBIREREREWmBwpSIiIiIiEgLFKZERERERERaoDAlIiIiIiLSAoUpERERERGRFihMiYiIiIiItEBhSkREREREpAUKUyIiIiIiIi1QmBIRERERkR3BzP6bmQ2b2YyZnTKzH99IewpTIiIiIiKyU3wUOOic6wD+R+AjZvbKVhtTmBIRERERkR3BOfecc646/2HzcaTV9hSmRERERERkxzCzXzOzMvAiMAz8P622pTAlIiIiIiL3gz4ze3LB471LHeSc+ymgALwO+DRQXeq4tQhafaGIiIiIiMhdZMw5d2ItBzrnQuAfzOzdwE8C/7GVE2pkSkREREREdqoArZkSERERERFZnpkNmNk7zSxvZr6ZvQX4AeCzrbapaX4iIiIiIrITOOIpfb9BPKh0EfhZ59yftNqgwpSIiIiIiNz3nHOjwBva2aam+YmIiIiIiLRAYUpERERERKQFClMiIiIiIiItUJgSERERERFpgcKUiIiIiIhICxSmREREREREWqAwJSIiIiIi0oI1hSkze5+ZPWlmVTP7xILnX2Nmf21mE2Y2amafMrNdK7TzeTOrmFmx+TjZhmsQERERERHZcmsdmboGfAT4+KLnu4HHgIPAAWAW+K1V2nqfcy7ffBxfR19FRERERETuGsFaDnLOfRrAzE4Aexc8/5cLjzOzXwX+tp0dFBERERERuRu1e83U64HnVjnmo2Y2ZmZfMLM3LneQmb23ObXwydHR0bZ2UkREREREZKPaFqbM7GXAvwb+xQqH/TxwGNhDPD3wz8zsyFIHOucec86dcM6d6O/vb1c3RURERERE2qItYcrMjgJ/CfyMc+7vlzvOOfcV59ysc67qnPsk8AXg7e3og4iIiIiIyFbacJgyswPA/wf8knPud9b5cgfYRvsgIiIiIiKy1dZaGj0wszTgA76ZpZvP7QE+C3zMOfcbq7TRZWZvWfDadxGvsfrMRi9CRERERERkq62pmh/wAeAXF3z8buDfEI8sHQZ+0cxuft45lwcws/cDr3POvQ1IEJdXfxAIgReBdzjntNeUiIiIiIjcc9ZaGv1DwIeW+fS/WeF1v7Lg76PAq9bRNxERERERuYtlZj1e9tnUdncDgDPbcM52l0YXERERERHZERSmREREREREWqAwJSIiIiIi0gKFKRERERERkRYoTImIiIiIiLRAYUpERERERKQFClMiIiIiIiItUJgSERERERFpgcKUiIiIiIhICxSmREREREREWqAwJSIiIiIi0gKFKRERERERkRYoTImIiIiIiLRAYUpERERERKQFClMiIiIiIiItUJgSERERERFpgcKUiIiIiIhICxSmRERERETkvmdmKTP7TTO7aGazZvaUmb1tI20qTImIiIiIyE4QAJeBNwCdwAeBPzCzgxtpUERERERE5L7mnCsBH1rw1J+b2XnglcCFVtrUyJSIiIiIiOw4ZjYIHAOea7UNjUyJiIiIiMj9oM/Mnlzw8WPOuceWOtDMEsDvAp90zr3Y6gkVpkRERERE5H4w5pw7sdpBZuYBvwPUgPdt5IQKUyIiIiIisiOYmQG/CQwCb3fO1TfSnsKUiIiIiIjsFL8OfBPwZufc3EYbUwEKERERERG575nZAeAngEeB62ZWbD7e1WqbGpkSEREREZH7nnPuImDtbFMjUyIiIiIiIi1QmBIREREREWmBwpSIiIiIiEgLFKZERERERERaoDAlIiIiIiLSAoUpERERERGRFihMiYiIiIiItEBhSkREREREpAUKUyIiIiIiIi1QmBIREREREWmBwpSIiIiIiEgLFKZERERERERaoDAlIiIiIiLSAoUpERERERGRFihMiYiIiIiItEBhSkREREREpAXBdndARERERETuTZkZeNln/O3uBgCf3oZzamRKRERERESkBQpTIiIiIiIiLVhTmDKz95nZk2ZWNbNPLPrcm8zsRTMrm9nnzOzACu30mNkfmVnJzC6a2Q9usP8iIiIiIiLbYq0jU9eAjwAfX/ikmfURT0/8INADPAn8/grtfAyoAYPAu4BfN7OH19lnERERERGRbbemMOWc+7Rz7o+B8UWf+p+A55xzn3LOVYAPAY+Y2YOL2zCzHPC9wAedc0Xn3D8Afwr80EYuQEREREREZDtsdM3Uw8Az8x8450rA2ebzix0DQufcqQXPPbPMsSIiIiIiIne1jZZGzwOji56bBgrLHDu9xmMxs/cC721+WDWzZzfQT9lefcDYdndCNkTv4b1N79+9T+/hvU3v373t+HZ3QO5eGw1TRaBj0XMdwOwGj8U59xjwGICZPemcO7Gxrsp20ft379N7eG/T+3fv03t4b9P7d28zsye3uw9y99roNL/ngEfmP2iuizrSfH6xU0BgZg8seO6RZY4VERERERG5q621NHpgZmnAB3z7/9u7/1C76zqO488Xu8SyESTiH3MUBBHRKKNLEkPtD4mI/AGWCMnWH7VhRJARWCxbZYKCf/hHUSvCVhmWW0UsLYhwQVFugbNtQqIZJpQzHVuJm/buj+/36tnZPfeO793u+Vz2fMDh7n4/3+8938Nr77O9z+fz/d5kdZIZ4KfA+iTX9uO3APur6tHxn9FfT7UL+EqS1yXZAFwNfP9MvRhJkiRJWi6nOzO1FXgBuBm4of/z1qp6hu4OfV8DngMuAa6fOyjJF5LcP/JzPgm8FvgX8CPgxqo6nZmp7ad5nmqT+a18Zriymd/KZ4Yrm/mtbOaniVJV0z4HSZIkSSvQ2szWFtq4rGwb2bfc1ycu9ZopSZIkSTon2UxJkiRJ0gBTbaaSfCrJ3iQvJrl7bOy8JN9IcjjJkSR7Rsa2JTmR5NjI483L/gLOcZPyS/LRsWz+m6SSvLsfT5LbkzzbP+5Ikqm9kHPYEjK0BhuwyHvodUkOJTma5GCSa0bGrMEGLCE/668Ri2T48SSP9fk8kGTtyJg12IAl5GcN6hXTnpl6GrgV+O48Y9uB84G39V8/MzZ+b1WtGXk8fnZPVfOYN7+q+uFoNnQ3Hnkc+HO/y2bgGrpb478D+BCwZdnOWqOGZgjWYAvmzS/JRcAPgJvofp/f54B7klzY72INtmFofmD9tWJShpcDt9Hdtfh84Am6G2/NsQbbMDQ/sAbVm2ozVVW7qupnwLOj25O8FbgK2FxVz1TVy1W1byonqYkm5TePTcCOevVuJ5uAO6vqqar6B3An8LGzd6aaZAkZqgEL5LcOeL6q7q/ObuA/dL8HEKzBJiwhPzVigQyvBH5SVQeq6jjwVeCyJNZgQ5aQn1aohWYjh5r2zNQklwBPAl9Ot8zvkSTXju1zZZJ/JzmQ5MYpnKNOQ5I3AZcBO0Y2vx14eOT7h/ttatCEDMEabNle4FCSq5Ks6peIvQjs78etwbYtlh9Yf61L/xj9HmB9/9UabNti+YE1uFIttCpukJkz9YPOsHV0f2F3AmuB9wK7kxysqkPAj+mWAf6TrvHameT5qhqfgtX0bQR+V1VPjGxbAxwZ+f4IsCZJnPlo0nwZWoMNq6qXk+wA7gFWA8eBj/S/PB2swaadRn7WX/t+Cdyb5JvAX4FbgALO68etwbYtlp81uEJV1S6AJLN0/caStToz9QJwAri1qo5X1YPAb4H3A1TVwap6ul/+93vgLuDD0ztdLWAj8L2xbcforgOY83rgmP+ANOuUDK3BtiW5ArgDeB/wGuBy4DtJLu53sQYbtlh+1l/7quo3wJfoPhR+EvgbcBR4qt/FGmzYYvlZgxrVajO1f/FdTlKcPB2rBiTZQDezeN/Y0AG6i27nvLPfpsYskOE4a7AtFwN7qmpvVf2vqh4C/ghc0Y9bg21bLL9x1l+DqurrVfWWqrqQ7j/lM8Bf+mFrsHGL5HfK7liDrbigvyZq7rH5bD/htG+NPpNkNbAKWJVkdZIZYA/wd+Dz/T4b6D6h+1V/3NVJ3tDfWvQ9wKeBn0/nVZy7FshvziZgZ1UdHTt0B3BTkov6W41+Frh7WU5aJxmaoTXYhgXyewi4dG4mI8m7gEt59YMqa7ABQ/Oz/toxKcP+6/o+ozfSLQm7q6qe6w+1BhswND9rsGmHq2p25LH9bD/htGemttIt6bsZuKH/89aqOkF3O8oP0q0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\n", 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\n", 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\n", 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\n", 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\n", 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pMzPg18gaR3yNu9cXeejs7/gW+t/N80BkZifc/YXGbQ9x63RBEbkLJXW48hm48Em48lkY/keYOJeFpVxbo6IwA6TLHKd66/U0bgSK4q23X/p7eOb9N49dL0FrL/Qeg92vgD2vgkNfDAP3bY8vz/UyjJ9phMrnslA5/BRMns+CZJjPQsLsv7yeZpc0zi6eQpiDIMrC5o3Q5HMel0DXvixgDr0SBl92M0S09m3VK7/VzHU495dw+dNw5XMw9nxWZQpzWUBKqlloWsrsezJXXGk8b+LW28/+j+wzEuSyIOYpdO3PPhdDr4T9j8LBL4SW7nV9mSIisnEW+r+6AQ82e8CVVqZ+Gbgf+HJ3L984s9lryf738wLQC/y/wCfcff50Ptx9xsw+APx7M/tusm5+bwK+oNnBi8idaTY8nf0YPP9BuPqZLBDUK5DWbn1sdX6Ne52k8a3HLo1kl0t/n1WyLMguB98A93wdHP6SzQlX7lkV7tzHs/fm0j9AZTz7Um8GtVJWebvltSz26605klp2WcrEuexy5v/LqjMWZCEjyMHAvXDi6+Dol8O+12TVnI02G55O/zm8+BfZ9TCfVdvmWsnrb1a9dOv18TPZ5YUPZVW9egV6DsHxr4Zj/yT7vChciYhsmQEzOzXn+mPu/tic688C14F/a2Y/B3wJWcfyjzd7wmXDlJkdAr4XqAJX7eY3ie8l+z3xTwO7gCngL4BvmfPcHwW+0N2/unHT9wO/3ngRo8D3qS26yN1h9Hl4+v03w9NsJWH2C/5yFYXNFJdv/v30h+HcJ+aFq6+Hl70Z2net/VzuMPocnP04vPBBuPDXWZXI01vHMT9AbCi/tZqX1LLwe+1J+Pufz35Wu16ehcwjX7Z+4SquwpmPwHN/kgW6mWsQFm597fOrj1vGb4bxsRfg06fhiffcGq7ue1NW4QzCLR2piMjdZMTdTy52p7vXzewbgf8K/DDZcqXfI8s5TTG/A1bfnjx50k+dOrX8A0VkWyleg8//Njz+KzB5IQsJ8ytPd6KoDTyBvSfh5L+C+74pq+SsVJrA+b+Exx/LwlqaZKEqLi3/3O0kyEGuNQtXex6BV31PFjIL81fHLsFTuPAp+MyvwjMfyALrpgbHjWLZmrQghFd8Gzz8L2H3Q9tj2qiIrI6ZPb7UF/S73avu2+V/9av/dKuHAUDnF/3iqn9WZvY3ZM31fqWZc664AYWIyErUivDMH8Lj74LLjzemipWXf96dZDb0XPwUXHsC/vR7skrEI2/NpsEFC/zL6p499rPvhid/IwtQtSI3V5regdI6VBtT7F7626z5w599Hxz9iuy9OP6V2bS8hQw/nb0Xn3t3Vm2qzXBHvxe38Zuh8B9+OXutbf1Z4HzFt2fVKxER2Xxm9gqyXg4B2ay5PcB7mj2ewpSIrIuLfwuf+k9w5s+zMDG/6cNONfs6n/1DePGjWeXhwW+B1/876D2aVeSeeB985rFsTVZcu33N004x+1688MGs8obDy/5neNV3w/7XZZ31PvOr8OlfhOKVbO3cRq532i48yV775Az81Tvhkz+VNfp49Ifg5d+aNdAQEZFN8+3AdwM54JPAV7i7pvmJyOZzz9a2fOz/hJFnbl+sf7eyCMCpDTnxhNEZ27ZaE7aZLIC0xRnrdgbHjCCAuKy5bpBNAwxb4It+FB753qzJiIhsP5rmt7Q7fZrfWqkyJSKrliZZa/GP/RhMX85+6y43peYkAVwacKbvc9qnYfdzAe0Td1eIqBec4WMpo3shX4HWqtEyCYE5+N31XiykVgSK2X9HH/8JeN3/Do/+ILT0bPXIRERkpRSmRGTFkho88V74xDuyTmZ3y1S+lUojJ87DlePO5JDf2M2i2AOlkymFMgw9F9AxArbgVhc7Q7XNuX4iZWKwsYkyUG2H069OaZ2CPWeMthEIHIUqblZ0P/Uf4W/+E7zqrfCGH842CRYRke1NYUpEluUOT/8+fOgHsg1kVYm6VRo6tXa4cjxleoAFtwRMQyh3wPmHU/Jl2P/5gLbJnRUk4pxz5YGUiQGgEaLmTyQvd8GLDzv5GWfPi0bnVQgMSHbWe9GM2UYtp34pa+Dy6h+AN/7k6jpFiojI5lKYEpEljTwLf/RdWac2hahbpaFT7YJLJ1JKvSt8TgCVdjjz6pSeYdjzdEBUv7ODhOOMHnSunnCIVtaUr9YO51/u5E44u88aPS+pUjVrdu+1f/ilrBL8tb8M979ZbdVFRLYjhSkRWVCtCB9/O5z6lcaGutu/V83miZw4gJfuT5nazYKVqOV4CJNDMDmQMvSc0f+SNT/1L/Sswavd/DH5bFlo9hLcHKdZ46+z98U09yKAUrdz8RUp9ZYsKK5WvQVeut8ZPugceCqgZdoJYqUGyCpVcRn+6F/A3/0cvOnd0H/PVo9KRETmUpgSkVvMTun7s+/LpvTttD2i1sSc1GDsoHPlqOPh2g6XAkRw7X5n7Iiz/8klpv7lHLeszTYpJK1Q63BK7VDPZ9MI0wiS0EmjudcBgyCBIL75Z5hAkFj29zq0lZ1C0YhmIEjBo8b0uxosFLTmTulb6/sAN9dUdV2D/c8ERCmgUAVkFeGX/g7e9Up49fdr6p+IyHaiMCUiN0ycg/d/C1zTlL7bpKFT6YEL96fU1vmLbBJA0gbPfGGChykP/UVEWDNIodoDpQ6n3JE1dqi1Q71As4WkeeaXG7PrYR3yM1AoGS0z0FZ0WiaNoA4WOs+dTJjaA60zhq9nIw2DqSF4ZiBlz4tG33lN/ZvlafaLjdmpf9/w63Dv12/1qERERGFKRAB4+g+ytVFxKfviJg2zU/peljK1i3UKMZk4cop9KTMDKVO9KXEOLIUXH4o58ekcYRqs6/lWKslBuQfKPXPDlhPUnQsPxEwM3fyAdEwbHdcDOsYDWkpNzPNbgEdw+R5nZJ9z8OmAlilN/Zs1O/Xv/W+Bh74TvurnIcxv9ahERO5eClMid7m4Ah96G/zj72jT3fnS0CkOOhdelk2dW5djBs5Uf8rEgYTpLicE4jkZxAOoRfD0F9XZcyak/6VwW7RRL3WmnHuojucb0xMbpnqdmZ6Eq2lCrgZ9l0J6robkamsfc60dTp9M6XvJ2PtcNkVxS9LlNlQvwefeA+c+Ad/yp9B3bKtHJCJyd1KYErmLjT4Pv/11MPWS1kbdwpw0gEv3OeP71955w3Fmep3xfQkT/Smh3QxQ8WLPCeHq8YTiYMqBz+cIt6gy4zgjBxOuHkkWXRuVGBBCtRWuH0u4ejShbcbovRjQPRwSrqXtucHYAWemxzn62YBc3bWWqiEuw+hz8K6H4Bv+Gzz4lq0ekYjI3UdhSuQu9eT74IP/KmsyoU59c0ROLQ9nH06pdqztUJW2lPH9CWO7UwgazSBYPEDNlwYw0+s892iNw0/maJtan2l0KxVHzsVX1Cl1Ob7CUycGGMx0OtX7Ey7dl9A1EdB7IaBzLGi6ylbthGe/IOXgM0bntax5hmRTcusz8Cf/Ek7/edZGPde61aMSEbl7KEyJ3GXiKvzxd8Fzf6xpffOloTO127l4/9o69ZU6U64fj5nu8hub1zYrAcjDmYfrDJ0NGbiwOdP+Sl0pZx+q47lbp/WtRtwIVpN9KcXulLAOu86E9F4PsSaaSniU7U3V0wf7n8m6Dqo5RaZegqd+Fy58Er7tI9B3fKtHJCJyd1CYErmLVKfgff8Erj2paX23ctIQLj7gTO5pLvrMTuW7djym3JYdb11HGMK1owm1Nmfvs9GGBqrJ/oSLD8br+hqSMLtcuT/h6omEXWdD+q6EBOnqX8fEPqfc4xz5bEC+qml/s+IKjJ+Fx07Cd/wP2PvIVo9IRGTn29w5IyKyZYpXsy9ZVz+nIHWLwInz8MKjaVNBynEmBxJeeLTOuVfUmelc/yA1Kw1gYijlwkMxqW3M3MyxvTEX1jlIzZUEEOfh2omEZ95Q4/qhmCRc/WuptsNzr0uZ6QGPNE/1BofqJLzni+HMX2z1YEREdj6FKZG7wNhp+JWHYeIsJNWtHs02Ejq1QhakmlkfNdWX8NwX1HjpwZjKBlSjFpIEUOxLOftIvakQshjHuX445vKJxRtNrKckgCSC4aONUHVk9QHRQzjzcMrULlegmqc+A//9TfD5397qkYiI7Gya5ieyw135DLz3y7LfVt+RjSaCbN0Rlg3f4eZfZi9282KNGV82+7iURleEeSKn0gZnHklJVrFPTxo4pa6Eq/cklNrZmn2gDCpdzplX1zj6eJ6ovrZBOM6V+2LGhlLSTf4V22wnwKuHs46BQ2cC+i9FBDErm8oYwPkHnb0vQN+FRRpT2JzPUONun/8ZahzrxueI+Z8huNPassdl+JPvzqrSr/vftno0IiI7k8KUyA525qPwu9+Y/ZZ6Wwuzhg+egiWQ5KHeDqUOp9oCaQRpCGnkJOHc69nUN0shjLN9iILGn2Fs2fUEChWnrWjkihDWAIfhfSmf/do6uUpAoWS0T9qN9Ttp4FRbnVqbU2lzal1Opd2ptNzsapdGadZcohH2PPTG+Bxza4zDsMaFFEjB0sbfAwgCIAFvoolCAngbvPCaLFAVKs190U/NufjymGLfWoKUE4TZy5rd8NkDsiAcZO+Nz3mP0sAJUiOILQs/Sfa+BJWAq8dSrh6rAZCvQEvFKEwahZns51QoGVFjjZTjVDqccodz5XjK3mcDXvaXOSzNqlb1dqh2OKVWSHM0Pjt+47Mz97NkfvOzk31+sp/f7G25KrTNOPmiEZXJclWUvUTWGGY3UlyGj78dpi/DV/zszV82iIisl1IhzxP3HNrqYWwZhSmRHeq5P4U/+GfbcH2UOR4BMdQ6oNLtzLRBtd2ptkOtlaYmIN/ebnx+Gc6Jc87Zh+oEODOdgEFIStKobjl+oxoSZN3MSYKbR3KcuDth7EiFpLCGMl8KYdWIKgFROaClHBKVA6wSYAlY48u9L9OcIQW8AKdfXePY4zlaSqt741Jzzr2qTrnLFyze3a4RHGcDU8FJWlMqbQlxS0rcmhIX0uzn26wUui7nab+Up9YCtRagx4k8xdOb7eWznxXgRkhW4Ro+lPLCaxPivLP/2RwdE6v8IBUWeL23cXCIqlAoQWHGaJ1x2qaNwiRgjY/vNmqKUS/BqV+G0gi86d0KVCIi60lhSmQHuvg38P63bJMgNS88TQ040/3OTDdr+9K9SknonDlZo956s9W3hU6cguedemdCrZASVQLy5QCvBFmlJsmqLB4640crVHuStQ8mgKTVSVoTqr0JM9Rv3GUJ2RimQtonI8LpMAt9DukC4cqBJAcvvqrOiU/nydVW9k3ZcS6+Il4mSN0MT2lrSrk7ptKdELelpJFvzKy3AKb215gZqNN3roVwOuv4l0ROmoLnnHpbSrU9IXBonYjwcoA1flalnuww5x6qc+SzOdo3Ym8ug7glu8z03YzaOLRMQ8eY0TMKLeNsm3BVL8HTvw8dQ/Dl/9eWDkVEZEdRmBLZYa4/Bb/5VVu8h1TopA5xG0wOOtN93ui6tjXDqeUSnv3CrHbl5njOqXUnlLpjal0Jae72CoQl0JOk9FTg+nSB0p4aQciG72uUTU9LqbenzOypZ1WQckBhck64IpteNnd6YJqHFx+pcfwf8oTLfHGfXSNV7E3nBamFw1O9Y3OaUsyVtjhjLysRjUa0TERUu2JqnSlp/taf1dSBGpZArhjSMhXSOhERlAPS0Dhzss6xx3O0T27SQjCDSle2nm3k8LxwNZKFKwvBtmhaYL0En/6v0LkHXvuDWzIEEZEdR2FKZAeZvJi1RK5Nb8HJAycNsjUoY/ucsb1OrW0LxtHgOMVeZ3xfzJnXzdD3YiuTh6tUeuMFw9NcZs6BvTP0dNcIAugGqrWA8ak8YxMtxInhbpvTz8MgbkuJ2+aEq1JA21hE2/Vcts4rhRQjboWzr6pz9FRuyf2bhg8ntzSbsDCr+tR6Y4qDdWqdmx+eZkVBFsT7Omv09FRpPxGTJMb5yx3Uy9GCYdZDqHUn1LqTG+EqPx3S/1wrqaV4ZNhWVIbmhasghu6rxuAlyE811sxt8rjqJfjo/5FVqB74Z5t6ahGRHUlhSmSHKI3Cu98AlfHNPW+ac9xhcq8zutcpd7FlTc9mGxKM7xM1SykAACAASURBVE0YH0pxc0aPV6j3JVwZKK7oGPlcwvED0+Rz6S2vo5BPGRqosLu/QrkaMj5RYGwqj2HETWw82zSDuD1lqr3G1P4auWJA53COwmiOxKDUAWdO1jj+6fyC3fBG9sVcPZpg5tkUwc6EqV11qj3x1gUocxKgu61Ob0+Vzo46wZyhR5Fz9MA0w2MtXB1pJV2mOughVHsSLr+2yMyeHHufaGPgUkjrhGXVxS2acpdGML7fGd/vRBXovWL0v5Stvwpg4a6TGyAuwx99F7QOwNEv25RTiojsWApTIjtAbQbe+yUwfeVmc4ANFTgpUBp0ru9ziv1s6a51bs74roThown1fPZl2oHigRrVgXjFXep6Oqsc3DOTfZFf5HutGbS1JLQNldi7u0SxFDE23sLETA7zrEK0aQzqnSljnVU4XKUwGdJ1LQ9EfP5Lqxz/dI62YpaQ4sh5/jU14pZs/dfE/iqV/uWrdBspNCefS+nvK9PbWSdcYt8sM9jVX6G9rc7Zlzrx1EhWMOVy8mAdSytMDuUIq0b3tYDByyG5kmWd+DZ42uZi4hYYPuIMH3EKRei7ZPRfJPvsbULYi8vZPlTf9UnY8/CGn05EZMdSmBK5w6UJ/M7XwdgLkNaXf/yaNNZCTe1xrh7d2ml8kLUwH9uTcP1IgkdZ571ZM7tqTA/VbrQyX4qZc3hohs7ObFrfSplBZ3tMZ3uRoVrA8GgLo1OFrAvgZn9JD6DamzDcWyaowtDnOjn9mphCpU6+ZEz3ZQ8bO1aiMrAOTTTWMlRz2goJuwdLdLTFq+ou196acN/RSS5ebqdYyq3ofZ44VCWsGy0TEWP7U8b2p+RLxp5zIZ3Xg+z3AJtZXZyn2gFX7nWuHXP6XjJ2v5itidvoqYn1GXjvl8L3Pg69Rzf0VCIiO5bClMgd7uNvh0ufhriygSdpdFIbP+BcO+zEt7WQ3lxJ6IzuTxg+lGSd8eYFoEp3nalD1RUFqTBIOXFwmpZCsqbpiYV8yv49JXYPlhkea2FkvAVjC0IVkBZg9DWTtL7YwuVDNXY/2U5YDxg9UaLatzVBKiCrIHa1xeweKNHW2vw4otA5vL/I6HiBy8Nty077w2D0WIXBZ1spzISkqVFrc86/LCY6BrvPh/ReDrOq0CZNtVtIGsHIYWf0oNNzyRg6A1GysaGqNgW//bXwvZ+DaIv/uxYRuRMpTIncwc5+DP7u5zewBXrOSTz7gjdy0ElyG3SeFYpzzvChmNF9KRYs/L03yaWMH6+sKEhFUco9B6co5NJ1m+2Vi5y9u8rs7q8wMl7g+lgL5ka8SaGqpRCzf7BMW1udmaEck9c7GHlVkfZ8DB4QxsGmBrzZENXTUWPXQJmWwvrMQzWDgb4quVzK+csdyweqAEbuKbP7yfZbmnPEBbh0T8LVIwmDF0MGLoabun5pIR5kv7gY3+90X4U9Z4JsXdUGhCpPYeI8/PkPwte9a90PLyKy4ylMidyhZq7D7/1PGxSkGmuiRg5mlaitamk+y8kqUVePJVh4c5+ohR43fm8ZixbebnWuQj7hxMEpcqFvyLKZMHR2D1QY7KswPNbCtdFWcFt07Gs+X5ByYHeJrs7ajTVfnb11DtsUw1NtHDmQtXicmslx9XobtfrGh6rAnK72Ont3l7KGHhugu7POsYPTnLnYQbrM4jiPYPTeMgNPt2HzpvUlObh6NOH6wYS+SyG7z4eEzpaGKgwm98DkUErXddj/TECUsO5rquIyPPE+OPaVcP83reuhRUR2PIUpkTuQp/C73wy1lTWoW5U0dEp9cPH+lHrr+h9/tWa6Ul56oE5cYNlGEsUDVeLWdNnA0tYSc+zAFGGw8f0HggB2D1To7a5x+WobU6Xc8lWUVerrrrB/d+m2xhmFMOYLjw1zerKHchzhGN0ddbraJxmdzHP5elsW8NZ5PKE5YZhyYM8Mne3xuh57Ie2tMfccmuL0hS7SJFjy519vT5neX6XrpcKC66TSCEYOJYztS9h3JqT7SkiQwpa1qGycemo3PDOQsvusMXCWdV/nFZfgj74T9rwKeg6t22FFRHY8hSmRO9Bf/RRc/ew6N5yInHoILz2QMj24jsdtUpxzrtwbM9mfkq6gZXe1K6Y4VF92el9ne40j+4qrajSxHvK5lMMHikzPRFy80k6SNFcZMhp7MQFJCmHgDPZUKIQJ+TAlNAgtJbSEgaBIj5d5pKvE8+V+4jTEPTtv50Cd3d0Vzl7tYKqYJ06MwCA0SL25tV4BgDm7+8sM9ldW1VhirVoKKfccnuT0+S6SOCBZIvwUh+q0Tkbkp8JbNj6eK43g4r0Jw/tSDj4TUSiBbWWViqxL5dXj2RYEB58JaB13gnUcU70E//0b4HtOQbjFU3pFRO4UClMid5iLfwN//TPrOL0vcFKD4cPO9cO+ZXsNzZo7pY8lpvTNlUQp4yfKywapG63Pt7CNe2d7zH3HJhkeXX7qXy5w4jRbH1TIpbTkEwotcfZnPqWQjznYOU1fS3VecHGOMEYHNWYnPPa1lzhPPz4vZDw4OEopjrgw1cl0JUelFlGpBdSqEZVqSKUWEKdGFECaLt76/eaUvhnyW9RuPZ9z7jkyxYsXOqnWwsUDocHI8TK7n2hfdh1SpcN5/mSdnqsB+16Itn7qH1BvgzOPpHRehwNPr9/UP09g7DR89IfhK/+ftY9TRORuoDAlcgepTGZ7w6xXkPIo22T3/IPbY0pftdU5/1CdeouveG8ox5m4pwLLhMDO9tqWB6lZgc1O/avy0pUOiuWI1CEXQJxmVayu9jod7XXaW2Oi6NZwYjh9hQp72mcIg9uDSx8ztM0JUgCd1OhnhjHabwtEbVHMvb3jjFUKXC51gAekVG/cn6ZQqkQUSxHFYp6ZaphVsNLsDFHoHNxb3JQpfcuJQuf4oSnOXOiiUl08UHkEo/eUGXj29vVTtzGY2JMyNVhj74shPZfDW5pYbJXpXfBMf8ruF42Bc6zLmOolOPUuOP7VcOwr1j5GEZGdTmFK5A7y0R+G6vT6HCsNnetHs2rUVi4HmTW+K+bS/cmNDXdXamaoRr09WXL5SFtLvCVT+5bTmks5emCKsck8M5Ucne11OtpiokU2rw0Bs5TDXZO05xYOLhEJe5gmWOBdHGKKaVqoLvBPvxn0t1bpLtS4MN1FqZ67MVUuCKCjLaajLYaBCqlDqZyFq4CUgd4auci3pA38QoIAjh6Y5oVzXXg9XLTyV+9MKe6t0XU5j68giKQRvHRPwuhQypEnc0QxW7o/FTSm/p1wpgacw59rVKnWWDmLy9n6qR98EaKW9RmniMhOpTAlcoe49iQ88RuQVJd/7JJCJw7h7MMp5Z51GdqapIFz+f6YiYGVrY2aK4lSpvcvvTFvIZ9w7MDUtglSIZDitIYJfS1lugtVokGnFEecm+oiSRf+8h/gtOfqHOicIlqgGjVrH1MLBinIMvM+xjnLwG3T/WZFgXOka5LhcitXS+0LPi4w6Gqrc9/gOH0tFRwo1nOMV1qZrOUJgXiLE3oYOscOTfH82W7S+RuRzTG9t0bbSI6wsvLxlrucZx+tcfjpiPbxYMvXUgGUeuG516cc/nxA24SveW+qyiR88mfgS35ynQYoIrJDbZOvFyKyFPfsN8Vr3ZjXI6fYB8++YXsEqUpbyvOP1pjctfogBTB9pIot8a9YLko5cTDr2reVjCwM5YOEXW1F7usd40TvOP2tlRvBqC2KubdnnM5c7bYwZDh72osc7ppcMki1UaWDpT8k7dTpprpk1DGDXW1ljndPEFl6y/8oQiAXJBzvycZv1ghX+TqHuqZ4oH+EvZ3TdEZ1DCdcVZ1xfeWibMpfGCyx8s5g/GgFX+J9XUgawYsvj7l8NCZd5XM3SpKHM69KuXrM1zymuAR/87MwcW59xiYislMpTIncAZ78DRh9gdXNf5snDZzLx50XH05Jt7hTl+OMDcWcfnWdWktzs5KqHTHlnnjRWVZhkN7YR2qriiQhTmgpAy0ljveMc3/fGLvayuTDhb/ch4FzqGuSPe1FAhzDG8FlgoHW5brjOQeYWLQqNdceJljJjldtuZj7esfoaAS8AKcrX+He3jFao2Th12DQW6hytGeC+/tG2d1WpCWMVzSujVDIpxw7ME1gi5+/1plQ64mxJR6zIIPRAymnH6lTLzgsMj1zUzWayZx5TUq8xjElNfjTt67j2EREtgEzO2xmHzKzcTO7ama/YGZNz9ZTmBLZ5iqT8OEfhPpMkwcInDjvnH5tyuihrV8f5ea89GDM5XuTpqpRkIWxyWOVRaf3mTknDk5TyKUbvo/UQgKcQpCwr2OaB/pG2dsxs2j4mM8Mhlpn+Iqe0wy2znBfzzht0fKNHfqZIbfCLYEjUnYvMR1wrjBwHui6zivaL7O/Y4qDXdOEK3xPc4Ez2Fbh3t5xjveM052rYYtOMNw4ba0Jh/ctHajGD1ebXv5U6XSee22Nqf4U3w6BCih3w7OvTyn2ZRXpZngCFz8Fp/98nQcnIrK1fgm4DuwBXgl8MfD9zR5MYUpkm/voj0Dc7Dqp0Km1wPOvS6l0reuwmpIGzrmH60wNNjetb1Zpdw3PL/4F8dDQDC2FZNODVIDTFsYc6prk3t4xem9rWb68AnVOMMxgVOJL28/SGtSX/Yc6ImGIaWwV1Z9+SkQsH/C6KHHExniwdYSTLZdYekvcxbVGCYe7G+9LoYLhm/o/oK6OmP1DM4sGqjTnTO2vYk1Oj0sjOPdAzLUjybaZ9pfm4MWHUyaGvOlAVS/BH/8va/g3SERk+zkC/J67V9z9KvDnwAPNHkxhSmQbu/Z5eOK9kDSzVipyyh3w/KMp8TboyBVHzplX1yl1+5qajSVRytSBGov1FOjprNLVWdu0CtzseqjOqMbR7glO9I7Tla83tWFtGzWOMULUCCwRKccYppXb11HNtY/JVU+jM2A/E0sGsH6KHJhz7DbqHGeYcNHdppZXCFMOdE5zf+8Y/S3lTV1X1dddo7ezRrhIoJoZqhOvZY8sg+sHE166d/uso8Lg4suc4UNO2mTVrDKZ7W0nIrJD/BfgLWbWZmb7gK8mC1RNUZgS2cY+8m+aazrhkVPshdOv3vr1UQC1gnP6NTWq7WsLUgCT95YW3Vi4kIs5tHfz9pIKcDpzNY73jHO0Z/F25SvRSZkjjN4WLEKcw4zQQXXBwFSgvmzTicW0U6NzwWYUzhCTDC3QYr1AwgmukyNe0/9AcmHK3o4iL+sbZaC11FgjtvH2Dc0QRYtU1wzGj1Xw1a6dmmdiT8q5l9ebDi/rzuDqcefyvc0FqtlmFJWJDRibiMj6GjCzU3MuC638/EuyStQU8BJwCvijZk+o1ugi29T1p7L1Cqv9pb1HzuSQc+FlW78+CrKOfWceqZPmFn4pQeB4kG0ASwoEZJ3Vwjl/Ro0vge0xQ/dOMTlVwFNI04AkhSQ1HOcL7r3KeNyWVTsM8I1p0R3ihEHKgY5pOvL1NR+vh5klW5oHwEHGuEw3E7TdUhc6mI4RGDd/1n7zt2QGWSvI2StuuGU/h9kpkLuZYpo8N5+VNbLoprJo1SpHynGGOcsA1RWv1FpYFDhD7SX6WipcLnYyXc+toe61uGyPrmwz6CP7pzlzsQv3bE1YGMz+6QSdVdxi0qmIuJwjSIwgNkjINvdNgNSwxou2IHvn0gTm/gdX7HfOPFzn6OdyhPGt922VsQNOnHMOfj5Y9Qa/7vB3/wXe+BMbNDgRkfUx4u4nF7vTzALgI8CvAF8AdAC/DvxH4N81c0KFKZFt6hM/kXXTWo00dEYOOlePb48gNdOVcuZkFjYsyMbkSRaOvMWptyZU21LiluySFJYe96GhIj0ddXo6bw8wB9qn6WupcIAZEjeqSUg1CakkEdU4opKE1NOgMS2vuZCVZRZnV9sMg63lpqbyzbeLaQYpLjtNz4D9PklkCde9Ewy6kzJHyiMU863kkoTQE0JPCdwJPCVs/AmQmpFacOPPxIzEQhILmMwXmAjaid14uHKBWmuBwLNsu9jbFOIcZZjz9FMiv+YAlA9TDndPMl3L8VKxkyQNbmwavBqzlb0EiMxpCRMKYUxLFFMIEwphQi5IOdE/waVi58Lj3jdDHBv/eLqHRd8AhyA2okpAWDby5YBCOSQoB1jdwKDS67xwss6xx3PkE1/RxsAbbWoIzuZTjnwmIFhFmTguw9/+3/D6fwu5tg0coIjIxuoDDgC/4O5VoGpm7wbeicKUyM4xcQ5e+DPwVfzKPw2d68ec60e2x9QiD28GqXpPzEx3TK0rIW5Jm5pgHIUp3V0Lr4XqylfoaalA9h2WyJwoiBvT7m6unHeHehpQjiOma3mm63nqabCiTWYDnK5cnb0d0+QWaW2+WksFqcCzroWBO4UkoSWp0RLXOJwMMx61MtHWzr7SBH3VGQYrxTWNoz+a5mzXIAeK47TXylSrOaphjkoYUYkKVMOIOAgIIAs4jbcqAA4zyiV6maRlXSpKnfk69/aOMVxu5Xpj0+ClPtEhjpNVnTqimI58lfZcnUKYZBW7RfS1VCnW8kzWCguOOwqgt6vK+NQiCw4ta1pRyyXQCeW59zmENSNXDGmbDHk+l3L8H/JEdQi3wQa/M31w+jUpxz+9ukDlKTz+GDz6Qxs4OBGRDeTuI2Z2Fvg+M/vPZJWp7wSeaPaYClMi29BfvXN22tDKeOSM79/iIBU4aWMKWaknZbI/ZXqozPTBeF2qZLv7KoR2+1TBXJBwsKO45BfnWWZZBSQf1uguZGW/ODWK9RzFRcLVek/pm9XLDINevNFdbjY8hZ7SUa/RWSvRXq+SX+CD0Fmv0BbXeODSBa7395KucVfi9rjGI+fOEIRQbm8himu0x7eWRRMzSlGB6VwL0/lWamF4I1zts3ES+iiycDBZrcBgd1uZ3kL1tql/Idn7NDc8debr5INk1ZXCfZ3TzIznqC3UWjJw9g6WGZ8qsOoPsEFScJJCTKU/ZuxolWsPGsc+2UXnaEDneEBYhSAE4q0JV5UuOPuq1VWo6jPwyZ+CV/8AhNtgLaaISJO+Gfh54IfJJjJ8HPg3zR5s2TBlZgWyfuxfTlYaOw38qLt/2MweBf4D8EhjMJ8A/ld3v7LIsT4BPArMrtK+5O73Njt4kZ2oeA0+/1uQrvB7u0fO1KBz6Z4tCFKNNShpBGN7E8YHU6rtjofOxKEK5V3NN2SYKwic/t7Kgq3OD3ZML9qdbSWiwOkp1OiZE66mannGKq3MxDm6CxX2rTCsrdRgMsVQMJ2dP10+PC3k5Zcusmtsis5SjdMHh/A1DHBwdJI9w2PEUcTTx/azUCoJ3emsV+isV6A0QWLGTFSgmGthutDKgWCUF22Qiufw9Zj/SBZ87+0eoVIx/rG4mzBw+lvKdOdrFMLVh6fbXpPB4a5JXpjoXbD9RRRCd0edyWJ+bScCaj3O818xxeA/thMkRlSDzpGAwSsh+WnLPl+bXLWa6YMLD6Yc/MeVB6q4kv379Mp/sbFjExHZKO7+OeCN63W8lVSmIuAi2YZWF4CvAX7PzF4O9AKPkS3kioFfAN4NfNUSx3ubu/+3tQxaZCf7m5+92TNgWZFT6obzD27uGimPnNRhcihhdE9KuXPO+QOnuLe2bkEKYLC30qhI3KozV6Uttz6Vr1lR4PS3VBloKTPkk6QWME47NUIMW1OzBYBd9SkeLl+gmsvTVynSktRXPfwgSRkYn8KA1mqNw5evc3bfrgVD0HJ6JqfZMzJOAERJSlexxFRn+7LPC93pqlfoaoSrugUMtkzz6bYjlMmv6b2KSOihRD9lIhKCFudEYZQL9BPbWhqz3641SugrVJiott6265YFzt7BEpPFHOvxIUtanNH7Sww83UacN8b3pozvTYmq0Hs1pP9yQFS1bBbsJq2vmhqCKzVnz/OsKFDVivDxH4eHviNrviEicrdbNky5+wzwjjk3fbAx1/ARd3//3Mea2S+QtRsUkSZUp+HUuyBZyQaZoVNphRdf2dwapFULswA1M5AyvCeh2Ou3nzdwyoN1pveusnPGEsycXX0VfN65DOdAR3HRTVibFeDkiTnEGHnLvl4PMkOVkHHaGKeNlGBVX+hDnBTYF0/w+skXiHCozTQ9xv6JaSxrz0fgKZ0zFQ5cHePiUN+qAlVnscTBq6MEPjvVMGXPyMSKwtR8OU/ZV57k6ytP8tn+g4x7G+OWvVfLrXua1UaNIaZppUrQeH2zWi1ryX6V7sbPYP3Cxp72GSZqBW77kAG5XEpHW0yxtD7z2urtKaMnyvS/0Jp1BwTiAgwfShg+lFCYMfquBPReCQlTsE2oVo0edHJVGDy/svNVxuG5P4H7vnHDhyYisu2t+iuYme0G7gGeWuDuL1rk9rl+xsxGzOxTZvbG1Z5fZCd75v0r/C5sTj0PZ06m+EavfIycJHIuH054+g01zj4YU+y/PUhZ4FR7YsYPVde1UtTbVV1wGt/u1hK5dd4YNcDpY4bjDJOfV6cokDDENPdxjUOM0kZ9yQ58s53/Oqixj3EeSi7y+snTWZBaC3cGx6dudOmDLAT1ThXZPTK54sO0lqscuXT9RpCaVajVKVSbD8ORpzw0dpF9Psl9XOMII/T+/+y9WawkWXrf9zsnInK/+1b71st0z8KZ4TQ1kAyRD5Ig2JZBwRRgwoQkGDBIWJBsvxkQJFmLJcAvfrAsSCYg2DRBC6YACTAlUDYoEpYoWaRnONOzdldX1151q+6eeXOPiPP5ITLvzXtvLpF5MyOyq88PKFRVZCwnIyMjzz++7/t/1NGYAT84Qokm77DLXfYp0uqs18eUA7hGmRscjClnh+No4Vqx2rd5sNZwbb3RZ6vJaS+HHN5tRtb/52gVhe23o+/a4y8HNBdMIv2qXr0tlK8K4o4+VrsKv/c/znxIFovF8plgrGmYUsoDfg34FRH56NxrPwH8NeBnh+zivwF+BLSBnwd+Qyn1NRH5tM+xfhH4RYBbt26NM0yL5TPLt/5BNFEZRehEDXnDy5dyDEQcIXRh+27A0RXT76H9CUoL7WLI/lvNqacbbq60Lgg3T4dsFOpTO1YkfAw3OWSR4WFBBZRoU2KXOh47LFIlA53oiyYySFiiySYVsoRoMbxT3sEdx55xAPlWGze8WFelxbB1cEQj542MLDlByFvPXl0QUgBKYLVcZXtzdeIxZkzIvfIOny5vUlA+BY64guKAArssAIoQWKTBVY5xO/GruCzRIs8uT1mlhTsVWbWSbbHXKNAIL/4s5nIBjmMIw+mFgJvrAcd+i8Xn2f4pfQqO1wzHa4bCkeLaI5dcWaF7m4RNEwVPvyi81VQUD2Vk/dazfwv1fSisTX8oFovF8lki9i9Dp8nVrxIJob947rW3gd8E/isR+deD9iEivycixyLSEpFfAf4NUQ1Wv3V/WUQ+EJEPNjY24g7TYvnMcvwSXn139HrGEZ581eDnZzMO4wjtguHpewE/+iNtDq8NF1IAoSPsvduYerqh5xoymYvC4VapOrVDKaIanXfYHSmkzlPA5w77vM0uCzTQGJap8gVec5NDsp3o1s3jAzwzHTv11aMqgzIbtQi3t/fw/CH1aiLcfbmLY/rvRCGslqtjFO71Jx/63Kzsozr7cRA2qPGebPPVxhP+xPGPuM0RGcKxhFSXDCH32GWB1kTbn0cpuLlQ6ZuQ6AArC+NdG3GoXvVprgZRD7Yh1JeFB1/3efANn+q6wWhh4EVwGRQ8/glD0Mfc8DzagR/++vSHYLFYLJ81Ys1HlFIK+IfAFvBzIuL3vHYb+C3gb4nIr455fGEuWotaLOnz/f99dEG3uMLBLaG6Pv3jiyO0SobHX/b56Js+5S0T69spWtj/QmMm6YZRit/ZZQtem4LXv9/UuGggQ9A3rS/2PgQKps1P1R7zs4ff5SvNbTISnmSprTSqLLSbMauGRiDCaqU6dF/aCHef7wwUQxsHFQqN1sh9FBqXFw9LfpPVZo2uVij6Tb54+Iov1HbZaFW5WdkjEwZ9I2Rx0MBNDjpphJc/v10zivNfQ9GwuTK9OsBeDu42Cbx4Y28uCA+/EnD/D7Upb3VE1TSuqx5CDx5/vbvvwfh1+PY/mOqhLRaL5TNJ3OnP3wfeB/64iJwkjyulrgO/Dfw9ERl6W1VKLQPfJDKoCID/hKjGyrb/s1iAb//PEAwrzdBCqwAv357yE2lHCBW8eCdK5xtLpGjh+EYLvzidqMt5NpZb5zKahJul46nYlGuEPD632e9bKzOKKDBg2Kgfs944PtlHoXrAeqPC89IayhjuHu4SZKajNEv15uhxIeTaPld3j9jeXDnzWqHRipz7RogXLYa1cpV6YUDD2jG4WjskMHDj+BDlqjOiZ6XdYLnd4NjL8aK0Sqg1ZkxHQkVUR+USssvCpVP+rhZrHLaynH/W6HohGS+k7ccI24yDhv0vNNj4QeHEkGIU7QI8+WJA7qbi1kcu2fp0jSrqy7DzlrD1CNSQPlj796MG48t3pnZoi8Vi+cwxMjLViTz9EvA14JVSqtr58wvAfw7cA/7bnuXVnm3/slLqNzv/9YD/DtgF9oC/BPxpEfl4um/JYvnssfsjqLwYvk6o4dHXp+ncJxgtHFwN+fEfaXN0dTwhpZTgL4RUr0yvkW0vuUyA454VaYuZNu4UTCc0wgIt7rA3oZASFtpN3jt8xVajcmEfuTDg7cNt/tR3/oAvP3zGnee7uMFkka9e1o6q6BjpgloMG4dlSrVTde6EIXefv44VBVLAcqV6kqI3MSJs7R/xp777Hb7+6WOKjYtiUAGLfpMvHL5ko15GiZko2LJJlascXToC6GhhM9+48Jk6CtaWpp/qBxDkDUe3mzDmtd1cEO5/4PPs3YDQFZiiUcXO3ajtwrB9isCH4+ajWCwWyxtGHGv0JwyfYv2NIdv+nZ5/7wI/NdboLJbPCd/9X8EMKXMxjvD0Kwb/8oECoJPSVxCeHLf9lAAAIABJREFUvh/QLE02AQsdYe/txswSddeX2uciUMK1Qg11yVoRjbBCnauUx+/vJIJjQm5WDyj5wyfWt14d4IWR8Fmq1lj4tMb2xgp7K4sT9YNSxrBUrcUesxbhzosdPrp3g8DR3H65hzugTqr/ARUL1QaVhcLYYwUo1hvc2t7DC8yJgLv3/DU/vncD41x8IqCBrcYxK606L4urVDPZsaNUqzRwMTxltW8T3ris5Ru8bpx936JgbbnF9l6eWVz0jc2AQjkgd+Qi4/SYUnB01VBZb3P9ocPStoM2XH6Mnfqp935X4wx4DhC24A9+GX76r0x0SVssFssbgW25Z7GkjEhHTA0I8IgrHN0QjjencDAnsjl/9m7A/Q/8iYWUaGH/3dnUSXWOwMryWYv1oufjOZdLJ9QI6xyPLaSUgBLDZr3Me4fbI4XUcvmY5ePqiX25QnBEuLZ7xHsPX0xkPb5YbYw9Y3U69VNrhxVK9WYU9Ym9rWHt6HjcYaKM4dbLXd569pqsH5yxcHeNcOfl7lBzi4wJuXO8y+3KLt4E9VSLtLjHHvoS7ZVdLaznokbRvWgt5HOXjzAO4uBekyCGNXk/jAfPvhDy4Bs+zQVBphClCjPw+GvDrdkbh/GMcywWi+VNxYopiyVlDh6AP6R/q5+BF+9efmIkjlBbNnz0h8dP6etFaaF6rY2/MJs6KYBCLrgQgbpeqF2qQW+3h9QW1THLwk5T+jYbxyO3df2Amz2NcM/uy5D1fd59/JKVMYXKcrUeK8WvF4WQrze5vnNwRtTEpVRvjOXql221ef/hC5aP6wNs1w2lepOV8mj//wW/xRcOtydK/YtcFg8ulfK3Uahjzm2vFawtzibVD0CcqH6qX/+puHRT/17fDUeaSMShtgoHtwQGiDzjw4N/cenDWCwWy2cWK6YslpR5/DuDXzOO8PTLo63JR2G08PJewKc/ERB6l9tXkBGOr83G2azLQtE/k+KXd3yy7pA8yBFohEWaXKESf6NONOpa9YA7x7t4Jl5E4ubrg6GlLwpwRLj5ep/bL3ZjC6Te+qdxyD7dG1uEnaAUuVaMmjgRVo8qfOHxS7wgGCrctBhu7Bzg9OmVdWFdotS/d4528EwwVklRkTY3OZxYUHnasJJtnRXPChZLs6kR7BIUDPWt9ki79KEo2LkV8ulP+gQZGbsW6zzbbwnBgHtQ2Ib7/+xSu7dYLJbPNFZMWSwp88k/j2yGL+AI1Q2hvtLntbg4gp8VHnzDZ//m5NGoLqKFw3vTb8x7npWSf+YY14r1iW9WmihScYPDMeqNIGMC3jl6zWqr34fTn1KtwUKtHmsCr0VYqtZ57+ELciPS/jw/wJlAEOlKA2/3GOegMZGpg5JOdGrYMULDnRe73Hh9gJZ4lUpK4OruUexx5EKfLxy+YrHVP+I1iCWaXKU8sW36ZqHG+RPnegatZxeVBSjfaBNOIU2vsSh89M021VVzqbQ/ceD5+wYzIDq1/W0IZ6sxLRaLZW6xYspiSRERePz/9H/NAM/fu8wESDheNXz8zTbNhWk0NRXaywHthdnVjECUmpbJnh4jo4OJ+0opINOxP4+7uRJhqVXn3cNX5MIxomEi3Hq1N9ZkX4vBCwLeffyS1cPKwJS6Ur05ugnZeYyQ/XQXZYTsk12YRIyJYak62I4932zx3qPnLNYaY7/v1fIxuWb8lDmNcKu6z7VqJ2Ux5uHWqLNOdSJBlXUMi55/5trRoijlJ4+SxkLD4Z3x3f36YTx4+JWAl/eCS6X9VbaguUjfZsFOJhJUFovF8nnEiimLJUUOPulvPCGu8OptIchOtl+jhRdvBzz6coCZkkmEUXB4Z3b1Il3y+QDVM33dyDcmulEpwCPgLnvxJtLSSUE73udmdX/syffGQQU3GF+wKKIo1Y2dA24PMGdYrDXQMdMMu7ivyqjOeFRgyDzZZxJPhkKjf93UcvmYd55skwnCieqxlAi3t/fHqskCWG3VeefwNZkx0v42OWaJxkSCarNQOxtpVMJScfZhmNZKiF8KL+1eCYCC/ZuGB9/w8bMTWqgrePpFQz+jwbAFj3778sO0WCyWzyJWTFksKfJoQL2Un4G9W5PlZYWu8Ok3fA6uXz6t72S3WqjcaGG8KTcM7sNCwe+ZQAor2dZE70NjuMcebowJtBLIhgHvHL5ipT1+bZLrB51muJOnf0Vpfw3efvrqQo3TuPVSqh2QeXGI6tmPu3uMilP/dGFnF+umNvbL3BpgshF7t0C27ccyozhP1gS8e7jNUqsWu2/WdY4o0hr7Ry/vBji9gkbBwozrprrHObjb7CteJqW5IHz8zTaN0mSCql2Eg9sXzShs3ZTFYvk8MzNjY4vFMpp+9VLGEZ59afzmvEoLvgsPfrJNe7LWQAMJPKE2o+a85+mtlyp6/kT9axTCHfbxYoRitEDeb3G3sjtxbc3N1wf9sp/GRouh0Gzz7uNtPrl1hdB1JqqXyjw+uJAGp4Dspzs0v3iNcw28htKtm2rmMiDCtZ1D1o8qlxJSXbpmFOWFYt/eU0O3BW5WD8gGPq+LS8iIC0UBtzjkEzZoj/HTpxSs5hrsNYp0Y4OuZ3C0ITSzfR4Z5oT6VpvS68x4vaeGYFx48HWfuz90KR5oVDjefrfvCcsv1IUzuP0HUd2Uc0mDG4vF8tmj4WX43vrNtIeRGjYyZbGkhAg8+VfnFiqhti7UVsfcmRZaOeH+T01fSIkWDt+avekEXKyX2sg2xxY4GmGLYwqMFn+R7XmDe5WdiYVUsd6MbToRBy2GbNuPnPF8f+x6KV1r4ZRrqD5ix6m1cA7rY5lRRHVTUarf7Ze7rB8dT0VIdVEC13YPJ95+s3nM9epB3/d7Ho1wewLL9JVc84xNuhZFcdZ1Ux3KN9qEU6id6kU0PPxywNGVcGxjCnHhxXtywYzCzcLLb01zlBaLxfLZwIopiyUlaq+jWoNejIKXb485cXKERqe3zKQ1VoMRgoVw5qYTXfK58KReSiEsjJnip4ic+9YZnTqmRVht1rh1vHcpnXht53Cq4gKi9+4FIV949JLFan2seinv+SGYIU1xn41fp5Rvtnj76WuWqo1LpTL2o2tG4QaTX2OrrTq3K3uxmhLnCLjG0VjiOesYsk7P+JSwmEDdFAAayrdaqCm4+51BwbN3Q3ZvhUOb8vajfEUutFgI21F0ymKxWD5vWDFlsaTE/n1wesWPEhqr0CqNsRNHqK4YHnzdn5rRRC+i4ejG7E0nuuSy4clNaTHTRsl4MkdjuBnDuU+JsFkvc60W3y69H/lmi3xrNudHIbjGsHIQvzeWarRxyo2h70m3ApzyYIe+frjGUKhPX0idotg4KF9qD4t+k7fKnb5dI7TBCg0WxqyfWs02cLo7VlDMJ/OAAaCxFhBOI4/0PApe3Q15+faYTn8q6j0lPTWUQRN2fjD9IVosFsu8Y8WUxZISex+fdfIzGl6+FX+yKo5wuGV4+JXg0k19BxEWDH5ptj11eslnAqQzqdvINcZqXKo6KVyjDCeUCNerB2w2ji81Voh6JcVJL7sM2QevIYz3GWRexBMkmWf7Q6NXZzCCu32E05hdo2YthvXDCjrm+xxEIWjzdvk1roRDa9giQ4pDHOILopVc60wFnuclJ6bQULnenn50qsPBdcPTL40nqI6uCufLrV5/b8oDs1gsls8AVkxZLCmx+8Oz5hOtBWgsx9zYEY7XDM++EMyulklLolEpOH3a7yhD3oufRqURNjmmyPAJvxLhVmVvrEa8g8i22pTqw6NAl8YITqVJ9pPXI/tEqVaAc1CNVzvUaKNrMcSRAXe/hveigm7OTkwBKBTrh/GjcIPIhQHvHL3CNeHQCJWDdPqPxRMQrhaK7mmdlOMIE3VCnpD6pj+G9Bufyobh6ftjCCoNr++djU4dPpjR4CwWi2WOsWLKYkmJVx+e/tu4wvbbMZ/KO0J90fD4izMUUkCYNbQXE3z6DnhedA5Kno+O+eYUkMNnY0SdlBLhRvWAJX+8FLdBXNkrT8XBbxiq5YPWuOUGmUd7Q6NJ3ssjxrkgMk+H7w8BXWmQebiDMiG6MdsaIS2GrYPyGTv3SfGM4a3ya5wRaYl5Aq5Qjl0/tZxrnkQ+RSDrJRe1RUPtSnusaO24VLYM228FsWuoDm7ImUuovh/VTlksFsvnCSumLJaUOPjk9N9BDqpxHPy00MoLn/5EMNtvrxbKN9qJOPidIrhuNDldyrSIr1SEGwyvfdIibNXKrEwhIgXg+QFL1drUHPwGoZs+XW94b6+K9+KovwDyQ9y941gGDF2cagvVHCCQBHStTe7+NopIiOr67N3rlMDq0eXTLwEyJuReeedCz67zrFEnQ7z3VvLaJ6l+GkU2k+zDhuqV9iR9l8di/6Zh/0Y8lz9xYO/Oad8pLw+HD2c8QIvFYpkzrJiyWFLABJGbH0RRqZdvxWiwqwQ/E/WIEWfG43OF5koy1s9dMp45MZkrxUzx08A6NbJDEqAi174qm83pTNIBtvZnH5UCUA3/jHjKvDzE3T3m/Iza2y4zifLNPO1XO6VQLZ/cRy/OvEfVmH3KpxbD1f3y2G6Dg8iHPndGuPwp4AZHsYRxRpvThtJKEhdT4kJjc7bRKYDteyGVTROrse/urdPolNKRsY7FYrF8nrBiymJJgaMnp05+RkNla9QWQthpyHveknjaKEcoXx/PknwaZDMhGoWrooaocdCEbDK4zkaLsNhqcLV2NK1hosPIynvWUSkA3QguCIHM4z2co/qpoBLB26lMlB7nlBuo4Nx2fkDuRy9R4dn3p1vJWIFrEZaOpxNBBCgFLW4eD+9DlcdnmcbIH0SlYKEr9BWUcsmKKYDKNT+2d8jEKHjyXkBtebSgMh4cXZfoYU8jMtaxWCyWzxNWTFksKXD4ELQLOMLhdRkpXIwTRaT83OzHZgw015KNSgFkM9FT/2LMeimNdPoFDXhdoOC3uVkdbZU+DsvH1ZPUu1mj+zjoKSD74BW61urUNU1eA6YAd6dy6qMQGPI/fIH2+4gEkdiugpdBG8P6lFL9uiy3G1ytHQ4VVFcocyHk14eFTOukbiqXTV5MGU8IkqhlVFFj32ZBoi/TEPavCUZH7qS7P5r90CwWi2WesGLKYkmBVhnECAY4uDbiya8WnnwpoFVKwjlM8FeCmacR9iPjGkTBUqY9sl5KEUUTFumfeqYEMqHPncru1ANs60e1kXU400INEC9KIPfxS5Qf4u1ULiVy3L3jSCgZIXf/Fbo1QEgrdTGKNSOKjQZOOF3BsN6ssd44Hthg2UW4QmWkGUXR808kl+MmaEDRw/GmPzOb9F7EgU+/5hOMuB80FqMIFUBjb+bDslgslrnCiimLJQXaVfBrkfHE0Ca9jnB4PeR4PaFJmwPHG8mkc50n43Sd/OLYgQnXh5hOKDHcqezGdmmLi+sH5GbUpLcvQ0SbCoXsj17g7BxfSjDqpo+zd4z34gjneEiUS6mR9uzTQ7NcGe7OOAlX6mXyfnugVl+lTmaEAXlv3VRCAcoLNJeD2af6dQg9ePwVf7hluoKDTqpf8/Lu9haLxfKZwoopiyUFWscgRrF/fdgEJXLue/FWcqlEBmgtJZ+6BFHfnjj1UqNMJ5QIN6v7ZMz038dKpUqSxWSDIlNdnGdHqIdjNODtx8NDcv/ix2RejKorUyPHMy20GNaPpi+mFHD7eA89wJCi28x3WD2cUrDYqZtSSbiQ9ENDazUgqT5X9WVh7/Zwh7+DawKiaBykdE4sFoslJayYslhSoFEWBOHw6uCJh9Hw8Ct+gt9SobXmJ2480cXRQsHzUTJqAIYN+tfUaIHVZo2l9nR6SZ1n/ag6cCI+E0aJpJdVeF6BcouJPriDOjw7gp0qjHpfCgiTmyhn2z6Z9vSjpK4Yblf2BtZPFfBZGJA+2qWYaeMgnchUOuKhuuFDgum4r+6ENBcG10+1CyAIuz9I6QZisVgsKWHFlMWSAk9+BK3lKM2vH0YLT98P8PPJjUl0Z4KWEtoRsk4w9Gm/Btao4fSbwAp4YcDV2uFMxpdttfGCBI05RIZbhPshHHZc776/Df6YY2sH8IPXkWDzDRyPSK8UptJQNy4KxUqlNpN9l4IWG/XB9VObVIZGp7JOeJLip1PSDu2FEJNkZEzBoy/7hENmDfs3bVTKYrF8/rBiymJJgX/3+4an7w+YmDpC+Wqnz0uCiCP4xXQK6gG0EvJOODTAIgjr9J9gazHcrezM7Ka2Wq4m0lvqhFG9ll5Xwem828DAh9vxI0ci8IOds+Z1zw5Hm9kllOYHUd3b2tHx1HpOnWerUSYX+H0DS3kCCgx+sJB1AsKO1tUz7vk0EAWNdT/RVMMgA0++PLh+6uBGtLw1XTNGi8VimWusmLJYEiZsR6YTzcV+rwrtrPD8nWTrlpQS6hvppfhB1PAz5wyOrigigwC3z4xfi3CjejCTOqkuq+VqIr2lTghluMPBXgOCnvdbacGTGIII4FkFjltnDSX26gxNWRMu9J6aNU4YkptRfysF3K7sDkzb3Bri7Of2GFCkJqaA2kaASfg7W10VDm6GfftPtTuR9Cf/KtkxWSwWS1yUUtVzf0Kl1N+9zD6tmLJYEubltyB0+79mNDz5UoAk/M0UDY3l5HtL9aKU4DnDlICw3qdWSgksthostxszG5vnBzgJprhBx3xikJgSgaM+jW0fH8Iga/Mu7QAe7V+MMhmB5pBtxSRmQNFFoSjVZ/i5iuHW8X7f+qkCbTL0Px9KdV39olq/tAjyUTuBpNm+G+L3uYeZTg3Xp/+XTfezWCzziYiUun+ALaAB/OPL7NOKKYslYR799oAXtFC5YmgsJD8REUOqKX4AnmNwBqQsKWCJJpk+YRclhmszqpPqEk3o56iwvtoeLLR++Gp4ut/9AwbOwPeG1yglPXHXYliqzsZMpMui36Tkty4E5RTDo1N5J4oKphmZQkG4kLz7pmh49r6PGeDu9+A3Ex6QxWKxTMafAXaAf32ZnVgxZbEkzP3fgH7ZbKGCF2+lEx0Kiyb1u0HODTADZ+vCJhcb2GgRrtaOcGfssLdYbSbr4geIowfXCx32iUp1qbTgYID4O2rAXnVwv6j9OgPbLCkNOvmLpNBozKxuqsv16kHfFM4FWn3TSgEybpR+aJLOsztHbTlIRdBVV4X6ijnTYNsJQZRw9FTRLCc+JIvFYhmXPw/8byKX+5GxYspiSZCwDa8+jCYdvYgjvHw7IPSSH5NSQj3lFD/oOKQNeK1E+2JfKYFMGLDamo3j25njzzDVbCCOGiwi9pvDzSA+2oHw3PkyAj/eHW63Xm4y0GVDdQRe4ihyrTiNnCcnY0I265ULrt+KyNmvn3tkrvMlTltMtRaDEW2GZ8ezd8/WbOkgilp5OXh6qee8FovFMjHrSqlv9fz5xX4rKaVuAT8D/MplD2jFlMWSIC+/BW4W9Jm5odDOCYfX0kmzEx1NyNIm44R9nckchFUuNnBVCDeO92eefJdGvRQwvF6qPELc+SE8PDhrRvG8DO0R72NU3ZSTvHBQQKk+21Q/gI1GBaePgckSzb6xqWxHTIVpFC31EOYklbopAD8Hu7dPzSh0CKjIze/T/zudMVksls89eyLyQc+fXx6w3p8DfldEHl32gFZMWSwJ8ui3wW+A65/OfoyGp+8HqZXkzEO9FIDbKeg/jyCUzjVRVQLLrQaFcPZ9sVKrl1KqfxOjajtec6Pn5VMzinYAjw4uRqv6MaRuSlJI84vqpmYfGdTAjepFMwqNsMhFMefo6DuTdmQqrbqpLju3T80odBCNB4EH/yK1IVksFksc/hxTiEqBFVMWS6Lc/w0wfvQEVwM4HdOJxfSK2OehXgoYaD6xRPPC8JSYmTXnPU8a9VIn9BNNB/WhDuYnCPCj15EZxSdDTCfOM6xuKpU0Pyg0mjOvmwJY8FuU/NaFTMcV6hdS/XRnpTSCludJq24KOmYU70VmFE4nMgVw9ASaR6kMyWKxWIailPojwHUu6eLXZQ6mUBbL5wMReP296N+6EzAwAi/upZdiNy/1UgDbtSI79fyZZRphhbNmC0mZTnRJpV6qQ99IULkdv3luuRmZVewMMZ3ot01fYStICml+EWpm/abOc716wHm1WqKFnFewJ/9N3+UxzbopgOqa0CoJuifA7uXg5bdTHJTFYrEM5s8D/0REptJi3IopiyUhaq9P/+2ECgOUrxjCTGpDAgf8YprTsFMCcTj2z54MjaHAWfMBLSYR0wkAZQxunNS4WdFPTNVaF5cN49d/cLa57yiM9LdWF0ktMoVS5NqzNaHokjEhK836GT2pgBXOi+qubEi/p1KYk9SH8fJugA7VyVkJfdi/n+qQLBaLpS8i8ksi8mentT8rpiyWhNi/D042+nfXhfPV7XSjQsZAkJuDPKU+RBPY+pnn/lpgs15JLBaQbQeYFOqEuoh77tgi0BwjQtMK4FkZamNGdVp9xJdISm5+oE1INqHIFMBmo8x5dbJC/UzPKdO5CtNs2nuCAsmkO47aiuD4YDq3tKABO99PdUgWi8WSCFZMWSwJsX8/qpcCcAPh459q4eeHbzNzDITZOZgMdjhbzC8sn48GiGG1mUxUCiDb9kkzjcvkz3nlt8PBLn/9eFKO+kN9vDe8ke95qn2iQFqnFplSQCFBMZUxIYvt5pnoVA4fp8fXzzfRuUi1aW8PJu2HIgo+/cBHnNNF3bRmi8VieZOxYspiSYjdH4LfKf/JlRWtYrrjgc7T7PRLPk7wzelMzMOQ4zRypwU2GsdnogOzJttuo/vYZSeFyXtn66bqfnxB44fw9Chy8Dto9I82DaJy0cHQZFNogtbDrHtNnWerfkRvdCqKlNZOzkorjK7VFAOXZ2gWQtLO9Xv5fojfc5kcPEhvLBaLxZIUc/IzYLG8+bz6sPMPJbRWFJnkHrQPJPWn2ecIehznFi7YURvWm1OpFY1NoRWkqjUllzkbiaq36dv0qB9PO1GpLh/vxt+24V9o7iv5NIv7wAuCRBz9uuTCgJLfOqNPSrROxHwriMTUXKT5AX7eoJ3R680So+DleyHiReekvhc1KrdYLJY3GSumLJaE6BZjGw0v3zLkGumHhFr5+RFTxoCgMBI16i31iCktsNqo4SQ4mYbkoyHnMXnvrICoBfF6RYUGHh+dNZ7YqUVpgnGot88cV5TC5N2Yo54dblwXwymxVT9C9aipPP6JHm0GnRDMAEv/pAlyJrZWnhVGwfE6hJ1bm5eHw0u3w7RYLJb5xoopiyUBTHjq5tcuQWMZspV0xZR2BL+Q9vTrlG69VDuMKlOKPS5+grDZqCQ+Js9PN3woGfespXktprh7edy/tuqTvXj9pprnmkhrjUk5MiVKdWrYkqMQ+OSD02NqIN9JPW12aqZSb9rbIcgZ0mqH1sULQCnF63sCnqC0dfSzWCxvPlZMWSwJUHkOTgbEE3ZuRk+yszWNm+JDbcN8OfmJKBRCK3TIEJ42SRVYbjUS6yvVxQlDVMKRsAtohXg9EaF6TDH14jiqmTrP65j9pgQIzJkFJpduzZQSEhdTAFv1Mron5XGBBkhkQCFmfsSUeKRe/5hrRgM4uiaYEPyGcPBJumOyWCyWWWPFlMWSAI0DMKEgIVS2OmKqruLXsMwAEQgz8yOmjFEIilbonE3xQ1hNuFYKwPPD/k1zE0Z6RUwQ4/Nq+HA8oBdVKHBwvhZtAL3uf6FBcumm+SkxeH7yrQRKfpPewqkiLVpGoTtLwzkRU8BJrVJaZI+jcxF60FgF4yvq+6kOyWKxWGZO+jMFi+VzQLsKYUtR2xRMZ06arauT2oJUEM7YGKeNdCaljdClxKkYUGIoBMnXLuk4EZwEMIWe9Lo4Y9quDreYe3IYT8T3iinXSd22TgFuCp+JAlZa9RM9VcCnFbpoFWVSzktkCkCc9MSUI5Ctnl4ju9ejz6p5mNaILBaLJRmsmLJYEqDdCazsXTud7Dg+6PRct0HApDj5Ok/3CX8jcE/qpZTAarOWSvaSI4bU86aAcCGLOE4UShz1cYnA88pZ44nzHNTjibKeKFhYysUb7IxxxumVNUVWmtUTFz8FNAP3RGumnQl6hjR/0Q3ke+pAjzeiv7e/N08nyGKxWKaPFVMWSwK8fiKErnC8drpMoVgop/wVTF8rnNA1qTtTL4Ww0kquSW8vOpS5OD1mIReJn9CM/ryO26Md+wR4HeOcdpzzRDuES3MiplKKFuZD/8yxT65OgXn6EkmKRZgGyFdPz4U4YLTw4t/Mz/mxWCyWWWDFlMWSAP/y14SnP2EufONKuymaUGjmaR5I0Ml5XHJOa3o8E5ILk6+TAdBiSLsJKkSOfuI6UdpdP4e+Xrar8Yb89OhsGl8//K54EMLFfJyhzpy0xJSiE53qBAfzbogiMk2ZJ9KMNJdqCnXufLy+Nx+pshaLxTJLRooppVRWKfUPlVJPlFLHSqnvKKX+/Z7X/5hS6iOlVF0p9TtKqdtD9rWqlPqnSqlaZ3//6bTeiMUyr4jA7nOorl98rXioY2VczQKZk2ajXdphdDvKuZFjmxZYayRvPNHFMTHS6hIiXM5HaXfDxJQIvCjHS+GrtEabWbS7IlaQfLpOfl2chPtM9bLaqiEITTyyToBBzVW9FECYkpjSQPH1xelEfTn6e+cHyY7HYrFYkiROZMoFngE/AywBfxX4daXUHaXUOvBPOstWgW8B/8eQff09oA1sAb8A/H2l1JcmH77FMv+8/hCM07+9T6YJKq354ZzFpdt+5IbhOtETf0FYbtVTG482BpV2454O4VIeMSMiU0fNeD2kujwvMzQ0GQSRW91iYXRELCF0ip9HxoRkw4AqGXI6GkeYqoPMRYKUwtwqhNLRxRtK12zn+/8o4QFZLBZLgoycTolITUT+uog8FhEjIv8MeAR8A/iPgR+KyD8WkSbw14GvKqXeO78fpVQR+Dngr4pIVUR+F/g/gT87xfficr2IAAAgAElEQVRjscwdj34bwgGTHIViMa26qTkTU612NCBxQCkhE4Z4KU6edWjmJgvSLORQgRmulfYbYMaYTO/WT+qi+hJENWPzUi8F6TssrjSrVMidfA4yV+4TXXfO5MdkgPzxxYsz7Iip+7+R7HgsFoslScaeTimltoB3gR8CXwI+7L4mIjXg087y87wLhCLS2w/9wwHrWixvDPd/A2TIN62YUt1UmjbK/Wi1o8lYpjOujEm+QWsvadhwD0IybsfNb8hntt+Il+LXpdIcXjPXOda81EsBqHHE4gwo+C0anFrVz9nzCIyWVBzsS1WF6ncxqWhMex+Bn16Q2WKxWGbKWF0YlVIe8GvAr4jIR0qpErB7brUysNBn81LntTjropT6ReAXAW7dujXOMC2WucGE8Pz3wLk2eJ1St24q6Z5P86MVgKiN0VfWdqP+PbWAW429VMdj5iS1rUtYyOIMElNGoByzGW8XAWoBLAyohypGomFe6qUAZA4+kygBtTMONV8PJNQIvT0LNFDc6a/gdAA44OXh2f8L9/5YokOzWCwJUSfDh1xPexipEfsZllJKA79KVPP0FzuLq8DiuVUXgX5V4+Osi4j8soh8ICIfbGxsxB2mxTJXvP4QtAtOoAZ+2bwmOCn0m1JzVu+RzZgTE4odb5HBZywZQkfPi/8EAGateCJwLnDUBHeC8/WqwqDwlJQ6x5oDAdPFpNw4uJbJUeC0gbQZFnJOAR2o5B0GQ1g8GCCmOve1dg0e/laCY7JYLJYEifVLoJRSwD8kMo74ORHp5t/8EPhqz3pF4K3O8vPcB1yl1Ds9y746YF2L5Y3g0e9A2I4mFYOmOArF6ksn8cDUvEWmshlDq1NkUfHypG2lF2oNan4my/7dNfjgBmT7XCkHjdFW5/3YH1I39f3XNNf7Jg6kRtpi6jBXYoEm0nHxS3k4F3BSeEDi+ZCr9T8RThBpcQnhk3+e8MAsFoslIeL+FPx94H3gPxKRRs/yfwp8WSn1c0qpHPDXgO+JyEfnd9Cpp/onwN9UShWVUv8e8LNE0S6L5Y3k/m9A2BoupgCWtx1MwtEpNWe2zhk3pBFEYqqkWpSzhVTHY7RmPtr2Rki2k5V9pY/A2RuzXqpLpTX0wgzvrg1+MQXSFFNNx6WtHUq0aRgHEBxnvp5IJC2mHIGVF4MfA/Xe92zdlMVieVOJ02fqNvBLwNeAV0qpaufPL4jILpFD398GDoFvAj/fs+1fVkr9Zs/u/gKQB3aAfwT8FyJiI1OWNxITwovfj/6tAzU00JJtKLKthCfu8zUPJOMIrTCamJVos58rkqafntFqrpoad8Mgcn3p7PLQQKXRZ4MYCFDrY/ShFOE7G3MXegl1eh/IYbYIKLIEtEIn6nk9T9cHoBMWU0Zg+dUQMdVz3/Py8OzfJjQwi8ViSZCRBhQi8oQhUwoR+S3gghV657W/c+7/B8CfHnOMFstnktffi+qlIKqJEmHo5HzlmWbn3ZBE50OGubEkcxyh2RFTedrU3QxGKXRK9tOhnq+aKbSKxpNxotqpWqd2p9KKmnP5E4Y2Xx3Dwjpn1L5WBF++cskBT58wJXEnwEGuiHT0dcN3MEQW/vOECkavM03ydUVmyEMgHXJyWbWr8PBfwr0/nszYLBaLJSnmZBplsbx57P6Qk4mEDhhZArSy44zVJujSqBQbBvchElMu78mr6MakVDSBTSk8lHZ9Tl+0iv70RqeqbS4VQqu0LkYpXY25utR39TQJnXQ+k7qbQXrq5zwdXZVRZGp+BFWSpjKuRA+AhuEEQEfji4GX35r9uCwWiyVp5nC2YLG8Gez+OHKxgmhSMWrK5fqKYp/GlzNDJZ8WNAyto9DdYXDaJPYwW0xtqmq0Yp4mygBoHcmmreLpspoP/iVCEnU/mun2HINrC5CScBlG4KRzvR7kFk5STkMUOTegO5QUMw8vkGQdZCiwvDPcNscNoLfT9MH9wetaLBbLZ5X5+7W0WN4QXn+X03qBJsSZ56w8d3ATihYpBdqfn5lgJKbgQAp0Iy0t1yPQifscAhA4DiqlFMNBmGyn55PWsNwRndVLNjdu+OcCW4JsLSBeOud9EEZpAif5MRmgnM2dnKMaGfJOgOn0dOpet3NBgn2uF8pqpOFFvnb29eOXZ3W7xWKxvAlYMWWxzIi9Hk9LbVSsXlJLu3oiU7ZJ0IDbnJ9bgFJRQ9Q6mTNZZ3sppfr5rpN8B9QRmEJHTDkKuk571dbldiqA33PGS1lkKTdw9bQQpWhlkm8gfJzJ06s2q+RwtEQ1U8yPmFJhcml+TgirT0YL20zt3HYZKD+b0aAsFoslJeZnJmWxvEGIQOXF2WW55ujttFFsPHdwEpifmRDcxvzcArQWBIVx1JnkusNcKZ1kO6XwveQn78MwOe+0dmcxCzkXWlNwHWh2lL6j4e4KkvPmLsNRiUlcTAnwurCE6bHtOyaLUpDRBqXBmRMx5TQ1KqHAnduGhQGNek8QcM+ZTGoPDj6Z3bgsFoslDeZnJmWxvEFUX120Tc4ex9t27amTUHRKkavPTypX1xkto4UGmZPlodapGVG0U4iEDEPy3mmRjqPhzup0apu61upZF1bzmJw3d7boSoS2N9KAdqrU3Cxt5/SYIQq/01471+kxNS+RKbepE/mGOAY2P3VQI47mNUHOXUJhC/Zt3ZTFYnnDmK9fS4vlDWH/PjjZs8tyZRXrC+cGivVXOpEvpzNHaX5aR2l+SkGZLL2pVTv5xVQCJfWcN1cBGpPzelIPJTKiWM1ffseVTqrg3WVQClPIwpzZfvuum3hjp1fF5TNRqRqZk+9l1okKlMycNL92mxpJoPG3DkYbTwBk61yIlAXNqGWExWKxvEnMz0zKYnmD2L8P5lwxeLau0DEjTuuP3EQmRqo1vJlw0ridCXyV3Jm6qcBxKGcLiY+nmfGQlAww+iFZjzNhS6Xgp+9cfsfHHTG1WQLAFLNDVk6HdiYzeqUpUnc8Gu7ZyGSFPGFH5OfcKL0ynBMxlatrZt1l2jGw+XB0VAogU1N99bgVUxaL5U3DiimLZQZUnoFfP7ssUyN2HymvrVjZSyZtZ54c/byOS0cbl4CzIuZ1YfHEnjopWhkPmSe1qdVZlz2losiUd8lbec2HvHcS+ZFssul0cagnPKbXheUzqaUGOOLUmCPTuVbnJjLVSED0G1jZjnecfA3oc285X0tqsVgsn3WsmLJYZkDj8OKyTEx79C4bD92ThpezQun5cvTTPY+y9zi1SAdoOy41L1mXuVbGQyVlrxgTyfVEaJSCwMC9tcvtVAE/eT3aPyCXFWdTxihNM5tcZKqlXaqZ7JlAzzE5eh9veJ1aqXkRU6o146iUwOZjBy3xjlOo9l8vqPddbLFYLJ9Z5usX02J5Q2j2EVNKFNkxXKyzDcViebbRKSXg1ufzNlAmjzkXFdouJhudCh0HSbhOZxRhKXMaMREgNHBzYfLolOvAW6uQibY3hQzMl35EFIk6+b0uLF0wPDmkeJLiB6fCP260eZbo9uzTdcXA6ouY0S+BTLn/S36j/3KLxWL5rDKfsyiL5TNO86j/8oW98fZz5WNnptEpMYpiZT5SujL4rOdOZ1oBDi3ORiOaboaGm2w9Tz0/Xz2XwqX8qYOfSCSmHAfe25xshxq4sXi6/8X8qWPgnKCMoZ5LJjLVdFzK2fyZqFSIonruWnSUIecEzLpOKQ6ZY2em5ouOgc1HzsgmvV2ytcFnJbxkWzSLxWKZN6yYslhmQKvSf3lpV+OO8dQ/29Csv9Qz7TvlVJy5MKHwwpClbPvMsj3yFyIEzxaWE41OlUt5jJqfW6Up5aImYdCJTAknzn4LYwpNR8MXN6K/OyGWcLU0D/rgDK1sFknAql2A56W1C9dcmdyFH0ut4O7CgPBLwhTKDjLDhr1OGzaexa/JKu2rgXrchBD6/V+zWCyWpFBK/bxS6sdKqZpS6lOl1B+ddF/zM0OwWN4gBomp4uH4gaatT12YQl/WQSgBp5n+7LkVXJysVchfMIBoOx77uVJifaeqhdw8aM1THI3Jd0WTRDVTAI6Cr16Jvx+lYDkPm8Xo/yYSE6Y4Z721UJSLyUQHy5k8Tde7ICYPKZ1J8esSzEm9VKY8u+iyDuHGjzxUzFopgKUDIOi/vuNBuzqlwVksFssEKKX+BPDfA/8ZsAD8NPBw0v1ZMWWxzAC/1n+5EygyY6a5aKO4/pGLnlG6nwayc5Dq12i7py2UOhg0NS5OpF8VFwkTqmWKjA/mSk4RLuVOxWTYE+rMe3BtId5OFPDF9dPeTUaieqkxJs1JYLSiWpxCL61Rx0HxorR6pq8UgI+mQf/vR8tP3zZf+wo1I0dODSweakpHY0wVBPL7g8ejPWjHbGBusVgsM+JvAH9TRP6diBgReSEiE3uNWjFlscyA9gAxBePXTQEs7WrytTjdXcZHjKJ4lL6YqjQzmD4T+T0KF9L6RGmeFxNK91OKen72k/lxCJcKp3VTvWJKA+9vgDvi1u46cGcFCj1RKCNzWy9Vy8++Tu5VYQnpk865T3FgX6VyI9neV/3IVGZYLxXC1Y/Guzdka8N7KyttI1MWiyU9lFIO8AGwoZR6oJR6rpT6n5RSE//QWzFlscyAYIhjVWlX44zplqZQXP/R7KzSneP066Yq9f4T0ypZgj63qkq2QNNNZjJbLuXmrG4qCyZENJ2aqR5cB94fYUahgXvL53YqhCuFz2W9VNNx2c+XLrQuCFHsU+xvbihwNOCaTZJZ1Ut1TSe89nj7HlYvBZHQGvawyWKxWC7JulLqWz1/fvHc61uAB/wZ4I8CXwO+DvyVSQ84P7MDi+UNwhkyxyoeTuY8navPzoxiHuqmjlvemT5TpyhesXCxRkopnpVWEolOVQv5+cp+69RNKaX6RJJGmFH0mk70bqVVJNLmiCTqpQR40cd0AuCAwsCoFCiqzfTF1KzqpcY1neiydEDfZr29uPNlkGmxWN4s9kTkg54/v3zu9e7j7r8rItsisgf8D8B/MOkBrZiyWGaAVxz8mhMoss3J9rv1qYtuj15vXDSQnWERexyUKHzT/5ZUJt/XAKDlds0oZhy5yHpcKOhKmXC5EP3D6fPeHQU/eTX6+8xyB1YLp6YTPZjNUurRyfMkUS91lCnQ6GM6YYBdFvpedxCZH6ad5qfbs6mXUiHc/OF4phMAykBhSL0URG5+mdJlRmexWCyTIyKHwHOm+ItnxZTFMgMyQ8QUwMoTxSSl69oobn/ooaac7idGsbCXsoub6u/o132xb3SKyIzCn7VttlJUSsW50hrBeuciG1QflfPgK1fPLnOAL2/0LWoJNhaYabOiSRChWphdGKOlHV4srFwwnQA4pMCwnEelhEoj3e9Mft+deombY2DrmUOxPP61sLAb1UQNwwSQjemRYrFYLDPifwH+klJqUym1AvzXwD+bdGdz9stpsbwZZEZMFpZfKcwkuX5Aoaq5+tBBT7j9IHRd47TSy2VTwHF78OT0iELf9EhRmkeL6zNP99tfLmHmSGxIPoO0w5P+UH3WgI08XO1cjFrB169Apo9gVRDMWb2UoDhaLA13M7gEBni8uInp8zMowM6QqBRAKIogTNfNr7SbQaZoz66BXFWx8XCy97X+Qo+MlBnfRqYsFkvq/C3g/wPuAz8GvgP87Ul3Nj8zA4vlDSK7OPx1r60oXMLRau2ZQ6k8WXRrEFpBPsXolAJqLW+gNbeg2KF/f6mW6/G8NFt3v7nrNwXIURNpDmlCphV8aSOqn3prNeor1Y+1Qv90wRQxSrG/PLtZ98viCr7j9hWQR+T6iqxe/NAdrGMTwGko9JQffqgAbn3PG1InNhjtQ2E/3rrOfJXmWSyWzxki4ovIXxCRZRG5IiL/pYhMWIBhxZTFMhNyy6PXWXmsJjaTUChufN9DTbF+SoyitJtu2lKtPXyCesDgVLujXInjTH52zXyV4nCxf6phWphbK6Nrud5dh7/wh+CtlYGryO3VKY/s8hitqOdmM+suZ3Ic5ooX3PugG5VaHC7MBeoDU1KTobjnoaco5nQIt77vju3e12XplULHOCVOdmbBRovFYkkFK6YslhmQGzxvPWF5Z/JUPwA3UNz+3nTrp5SvcOvp3BZE4KiRjawFB2DQ7A6ITgE8W1ghmGEq3sFycb5c/YpZVGmICcJqHm4sw0oB3t/qv46rYS0/VwYbgmJ/aTYpfm3t8Ky0hgzY9wEFghExX0Fx1MqkJ6sFCrseMqWL0TGw/lKzcDi5QNx4oUa6+AF489WyzWKxWC6NFVMWywzIxxBTOlQsHV7uOMWKZuuJM3bfqoFjEijtpBOdEiAINX443FVwlxLBIIe1GddPNbIZAifdiEQv4ii4vhj1ljpP1oEvX4kc/RSwUYStPmlzG8Woj9McqURRcLg8fZcCAR4vbvRtzgsQoHg1KioFCEKlmU0twuJVNXpKvaU0kK0rth5M7ubpNSBzHG9d14opi8XyhmHFlMUyA0pX4tUFrDwZv4HveTYeO5QOp9N/SkSR2/NSscgORREaxVF7+PEFxTMG95dquhleFpdmI6iUYm+5NDcNfCXjIBsLXAhxuhq+ceOsyHIUvLcBy+fc8W6uIP1MKVKk7bm0MtMV9VE/qVXajjtQN75iiTg/i6HRtEOdmpha2PWGBXDHQvtw+7vj26D3srytYhtBFtYnPozFYrHMJfMxI7BY3jDW3o3XmLK0D1wyTU+huPk9l9zxdAwpNJCppDO59tsOx34GM2JiVyNLncFq9SBXimpiZiCoDpcWmJeGTCbnQdaFjZ6UOK0iIZXzuDBOR8NXr0I3NbDgQd6N9jMnhSxGafZmEJXayS9xlC30tUEHaOBxRH50Q22B43aGtu+k8wNqILs/nRQ/HcC9b3sT10l1x7PxVEEQbx9bX5n8UBaLxTKPWDFlscyAtXejfiqjUKLYeHR5EaRFcec7Hl59Cl/qULH8Ip1mpI2WQ933htZNdXnOkOiTUrwoLlPN5KZuGOF7LrX8fDj7mXxHMN1eilL5FPC1a1DIMFDwORq+fh1yLry1Do6KxNTc/BoIh0vTdfHbzxbZLSwMFFICPGc51rUiKCp+hlZbp+LmV9j1ptJbSodw97seuUvWSC69UrGj69qDra9e6nAWi8Uyd8zNz6fF8iaxdBvCVrx1154qJIbwGoUTKu5+O4PTvny7IKfm4NWSvz20fI2gRtZNAfg4Q80oUIonC2vU3czUBdX2xvJAA4MkkawHoYFSFpYL8MUtWMyNFqOehg9uRMYTgJTmo5BFlGZveZFwinVp5UyOl6X+jXm7HJKnTbyaIUGo+h6tlkuYdJ2ZwOKLDHLJeqmuc1+xcsnvuMDVT9XI3lJdvDysfeFyh7RYLJZ5w4opi2UGaAeKA8zTzuOEivVn0/kyer7i3rcz6EuKM2Vg+Xny0anQKMKQkXVTXYaZUQCIUjxaWqfluEyzI209n6OZTSd6dwZHR/VRgLyzhmwWY19IknFo3V5DtMLkJjcfmCaCsLM2oknbGNTcDE8XBjv3AYQotodFOc+vbzShaJqt5FNh8/su+pJNenUI1z52WDy4/PgX9sAdoz2DmChqb7FYLG8SVkxZLDNi7Z34664/0siULM6zDcW9P/DQl9qfwi27OI1kn7y7Glp+vLopGG1GAVENzqdLG/hTtkzf3lgmnAMjCpPNIICs5DHFGIV6XZQiXCvRfP8a4qVvQCEojhZKBO50hF3D8Xg0xLkvOiY8Z4X4CjSqlwJo+gl/9gKLz7NwiaiUNrD1xGH11XTO8dUHGh2zVgrAb8DK3akc2mKxWOaG9GcCFssbyji1Aa6vWH01vS9kvqq5/aF7KUGlBJZfzKZp6sBjAq22Q833Ytck1chySGFoKl+oHR4sbRJMUfwcF/IE/SzJE0SAxkIOBTS/eBX/5kpkcz5qO6UI1kpI1sVfyPFqY5lwGoU4l0AUvFpfmsq+mo7Lw6VNzIhzcUCBKtnRphMdjCgOWlmMgWBK1uRxyR45ODHT6fqhO72kNh5PR0gVDiFTG3ObNXDmIKBrsVgs08SKKYtlRmx8CbzCGOt/Mr3oFMDCkcO973iXSPlTZA5cdCu5SWNgFM2WBhTlVja2ad5LFmmNsPHwHZdPTwTVFN6TUrzcWE7NJl2AZ1fW+fBPfoMf/uw3kaxHuJSPbXPuX18GoJ7P8mp9hft3ruOn1ENLgONigfYU7NDrboYHS1sjo4ZN3LHS+wAMUAs8Wr6Dk/DHvvw8CxOm+OkQth47XLk/Pbv5a5+O3+tq5e2pHd5isVjmBiumLJYZsf4e6DEeAmdaiuW9aVb2QKGieftbHm57si+7Bpa2k3uULEC7FZ20vVZujImu4jGrhCPWb7kenyxv0dZ6KqYU5YUigZN8RMcoeHTjCoeLketdK9f5jJSifWN4dEpQhMsFJBdNrJsZD4Wi7Xl8fPc6LS/5+ilRiu315Uvvp+LleLi0EUWkhnwsBsVj1sa7BgQOmzlA0WrrRH88MxUH3ZzsiN0aqWlFpAByFcgdjb/dFevkZ7FY3kCsmLJYZsS1D8BvjrfN5sf60n2nzpOra975/Qxuc/wvvIgit+slGp2qNaNJXyNwY9VNdfFxecbySAHmOy6fLG/RctzLCyqleLWebHQq1IoHt65xXMwjndS8ZsY7SVULV4vDo1MK2jdXTv5bWSghKkqzCxyHj+9cp56guYYA9VyOZu5yxzzIFniyuB7rs3jBMuGYDQkMcNCKatIaDZfgkkYQsRFYfppFTXA8HcLNH7hTq5HqjufWjzR6zGbjmQW4+8emNwyLxWKZF6yYslhmhJeHjffH2ybbUGw8nf4X02sr3v79DLmqwhmzN44WWH2cXO2UHyr8IGqatN/IjdUf95g8R+RHiqRQO3yyvEnNy15aUB0sLdBOyMDBdzT371ynkcvSqzMVUbpe9B9F697GidDqRbTG31xE8pFwEaDWK2IUGEfz4PZVKoUxzCwugSjFsyurl9rHTm6BF6XVWHb1B+SpkItdJ9UlNJpmx7L/uBa/pu+y5PZd3Mb4dwQdwN3veCztT/faXN5WUa3UmLbwYQvu/MxUh2KxWCxzgRVTFssMeec/BDXmXGbzgUaPYTccFzdQ3PuWR+EofpNNiKJTXsUlU05GMLgKavVo0nrQGn/S+5Il2jGiDqI0DxfXKWfyY9XNXEApnl5dH9rHaBo0Mx4f371By/MuzGONUlQLp72izEKOcKV40clOg98TlWplvL7pcEZrHt3YYn9xus1zLxyn01eqNWEkTIAXxRV2ikuxhFRUJzU6ennxQIq9ZiQujYmaSyeBCmH5cW6sWikFuD68/S3v8n2kzqEDuP6RGsvBr0vpKhTWpzoci8VimQusmLJYZsi9Pw6Z4njbaKO4/gM1dhpN3H3f+a7H6rYey+lPGcXqwxxjK5sJ8I2iWovqedrGwQ/Hm7hKzPopIBJCC6vs50qXElT1fI7yQnEmjXwF2F8q8fGdawSO078WSEX1W720bq+dad4rWkfLepwTjgu5gdbhojXPr6zz+Nom4YyEotHwamOyWqlQKR4vbnCYK8YSsj6aR6xN9DkbhMNOil+t4SZmPrH0LDtWJNkxkKt2otD16Q/y2oPxI9td3vqT0x2LxWKxzAvz0anRYnlDufmHIRizbgpgaVezXwmpLY+V5RYLJYqrH3sU9kKefSkAN55GcgLFwnaG4+szCJudo1LLAHUAdps5bhTrZ4TBKNq4PGKNe+yjR51BpdguLVN3PW5WD0evP4Dnm6ssHtfGrMQZTqgVT69unqmPGkQz42FUlJYJgOfQvrlK5tkhGIMpZAjXzkaauvVSgxCtKC8UqeWz3Hv2inzbv+Q7OsUozbOttZH25f2ouxkeL64TKidWtlmI4iHrY9dJdWkHLr6Jtq3WPMIE6qXcuia/6yExj6VDWH2pufLARY2ZgheHbBWWn6mJHAUzi/C2FVMWyxtLw3f53u5G2sNIDRuZslhmiJuDjS9Otu31703fjKKXpX2Hd3+vU0cVQ02JUZReZhIxozitm4LDVg4zgcBpkOHJiIa+vZRzRe6vXJnYmCJ0HV5urEzNjKKezfDR3RtUSgVMjB5QSqCeO1vbFmwtnphRtO79/+zdeZRk6Vnf+e9zt9hzz6x96aqu6m6pu7V0aSQWgTRwLCOwkTGHVcYajDVgy2fsmfHBZsAIgw1zzpwZ22M8chsMsi3jVWdsMDLYZiSQUKu7pF6k3mrPWrNyXyIjM5Z73/njRlZlVuUaGZmR1fX7nBPdVZERN96IjMq8v3je93kHYFkFxwHzuY2n1zmDehBw7vhBxruLbQn3DljIRPdV0zZzv9FcKW1x720uSCXAZQZoELQ0dueMWwt39zjYlfVSDvouZbFN/Lv0AL8BR78ecOB8uCNBCgdHX/XuBvUtihfh2Le1d0giInuFwpTIDjv13WAt1IAzC8bADjSjWC6qGidfCOm/vrlpf7vVjGL5uqnEeUws5Foq0ZXJcmMLewnV/IBzPfuZzBRamg420dtFbZsb+TpgrKeL88cOUA+DTa/zT7yV66YAMGPh9H5uv/M4jcLK71t1K3s6WTrt7+a+AS4f3rftDX6dGVcP9K8IdxtpmMelriFG85tbHwXpa3mVfqqELc9QbSTGbC0Nnbu1Xupu04n1n6efQG7OOP1cRNfkzo2r55aRKbPlphNLtF5KRN7KFKZEdtiJ74RoC5v3Lrfvgodfbe947mXO2H8h5OgrAX5j/R8KS80oMlM7e0K5fN0UwO2FfMsnw9PkGWXza6KcGTdKvVwtLa272sIJpBlXD7bejKLue1w6vJ9bQ33r7hW1+mPfv24KoFHMcuXJR7i2f+UUjPXWS60l8Yy5Qp7XTxxhPtdaqG6l6UQ5yPBm7wEqYWbTr60jbYE+T9Tye8c541Ylz9J7YDfWS1ljc00nvBgGrvmceCEkrO1ctThYhEOvt9Z0AloZNLwAACAASURBVADTeikReWtTmBLZYUe+BVyL02O8xDj2VQ/bwel+S7qmfE4/F1GctHWrVJYYvRdzeDt4AgcwU47uvG6x85he3Fqb9OXGKDFFfkvT92Yzec717mfRD0i28KOykssy0VPa0nQ/B4z2dvH6ySPMFXKbmta3msUopO7fDbqJGZcODxH7HjPF/IrufBO93S0VGpxBI/C5cOQAVw7uo76FdOGAeuBxa5NNJ2IzbhR6udw9SOx5WxrvKCVm2F6nxthxp/EEwFx5h9dLORi4kFt32q2fQFiF4y+H7LsYYG3d5vseCZx4ydtS9897RUV48ofaNyQRkb1GYUpkh/khvP0HoNWlNPk5Y//5nenud6+wZhx/KeLY10PCKmt27vITGDjf2tS7zUoSo7J4NxiMbKM6BXCTLmbJbilQ1f2Acz37uJXvIsY2fd8bQ31Uw82tvSrnMrx+4ggjg31pM4ZtnRsbU11pdSoxj5H+Hiq5NAw4z7i+v5/FKKQaBlTD7fUfcp4xXcrz+skjjPZ2beqt4My4dHjfhlU3R7oJ7xu9B5nMFrfUJdEBtykxvoVq5BqDZWRZVco5mJjJ7Oh6qeJISDjn41ZJjUZajRq84vPYH0cUp3f+1/eBi0ZmnpaaTizxAu0vJSJvbQpTIrvg3T8BYYtT/QAGho3C9O79gy1Nejz2xxGDV3wsvv/83jkjrHh03Whtf6DNSJwxPXN3Klk98SnXMtsIcMZVepjaarXCjIl8iTf7DjC72T2pzLh8eGjdc9C673P50D4uHjlALQparkYt57x03ZbDqGQjRvu7V37d0mmEk12FLa1XWpOle1KNDPbx+okjlNeZ+peYcX1f34bT+xb9kAvd+7hZ7NtyNWppat+2gxRpVWpy8e4atHIlYJtJd13hvEfpembV4OLF0DXpcfq5iKErAd5ONJm4R2EC+ocNa3V6H+la0Xf8WOsfJImIPAj0I05kFxx6L4Rb3G9qOcM48uLObOa7Fs8ZQ5cDHnsuorTK1D+XGIVbEdHszqyfcsDEbGbFFMmble1Vp8C4QTdjLZxsNzyf4a5+LnUPUvU2nvpXi8JVN/O9O6XvMDPF/IYtz7eqFvhUo4DLh4buD0wGtSDgZn9fq70EVpV4Ri0KuHhn6t/K90RiHrOFApPdpTWPsTSl73zPPhaCaMvrzhJgmP5tT+0DwBljC7kVlcXpmcyOTfGzBvS/mcPuOb6fQFSFY6+EHHspJNqFTpoAQRWOv+zhxdt7vCCCd/14mwYlIrJHbSpMmdknzOysmVXN7DeXXf+jZlZedqmYmTOzZ9Y4zufNbHHZ7d9s0/MQ2dPM0pMKfxuFnKBhHPva7qyfWi6qNqf+vRISLbJi/YQlRt+5HF59Z07yPNJW1EuqcUClFm1zeqExSombdLV00l0JM7zZu59bhY2n/s10FZnqStdPJWaM9ZT4xqNHGRnsb8OUvtUlnseLJ44Tr9FVsBKGvDp0hKkot+rXt2Np6t9rJw9zdf8gtSCdStjwjasHV+/elwATmcLKKX1bfF3SfaQGmSez/SBFWpUaW1aVShKYmtuhKqyD/ktZ/GXBxXfNKX2XfU7/cURpahc/93TwyMsefht+zuQHYd/T2z+OiMhettlJ8zeBXwI+BNz5DeOc+wzwmaW/m9nHgJ8DvrbOsT7hnPu1LY9U5AH3zo/Bc39ve8cozBj7LhujJxzJLteVS1Pp1L/ZwYTbJ2NqGUfip+Gq/3yWsScW2h4OGokxNZ2hq3h3s9ir80Uejya3XVafokADj6NMb32jXjMmciWmM3kOzM/SU51v9v27/zjD+/u51NdPLRdSatR39PuWYIzlikzkSjwxeXPVb8dUtggObpT6yE/dJpM02jsIS6cTTnYXGentpuJCuhsV7J51UjHGZLZwp9V5yx0Q8bjU3EeqHcsKlzr4Je7ueGfLIZ5BsgMLpvKjIdFMgEsM34GLYfCqT/81f0XA2i37LhnZOba1TgrSPfae+Xh7xiQispdtKkw55z4LYGZngMPr3PTPA//MuVZ7l4m8dfWfhu6jMLHNeuzgRWO+zzHfR1tOHrfCMLrHfLrGPMq9jtFHG1QKEM4FdA9nmDne/j7u0/MhhxPutKSuJz7jlTxD+YV0p9ptmCPHZXyOM4HfQrkr9nyul3q5VehicGGOgYUyhmEk1M1jLNfFRK7AUsw6OTNKobEzczUdxkIQcTvfjQdUgui+x3LAVCafrnVyHhe7hzg9PULg2v9Oij3jUs8QNc/HgGK9yr7KDFHcYDxbZDxXAvO2dc6+SMBl+olb+u6trh57TCyurNpNTWdp7MAUv3DWo+dKFnPpxrtDl3z6bvl4O9kxcB3dN43By4a1IcQ5B09/tA2DEhHZ49r2GamZHQO+DfhnG9z0l81s3My+ZGYfaNfjizwIzvwkBNucXWWk7dIzc51b9GgYpSmPky9EnPxqSLYChdsRmR3YONQ3mLlnitXIQp5Gmxb9VIi4yAB1Nt4kdS2x5zNS6OHVvoOcKw7yx8VHeK3vEOO5Es685tQ143LXIAv+FjbL3TSj6gdc7h4AMxKMyez965PKYfbuVDtLx32xe4i4Hc0olkkwLnUNUfcCMMOZMRnm+ULPKX6n/2nO5/fR8LYXpCbJcZFBGm0MUomD4XKJ5e+DRmzMLmyv8+G9LIahr2cZfD1dSHnodZ8nvhgxcCPoWJAqjsOR12zb66SWDL4t/fBIROStrp2/IX4M+CPn3OV1bvPTwGtADfgh4LfN7J3OuYv33tDMPg58HODoUf1ElreGd34M/uB/2/5xvMQ48bzH+W9OqO9sh/IN5ec8Tj+XYfxQnenjHhbHeEDcplzVSIyJqSx93XerLA7j6lyR411zeNusTgFUCTnHEEeZpkB1y9P+avhMkWfKyxNnPRIHfTbPPsp4uDvHSzyPS91DnJoeIUrat/it7nlc7B68u7eVwXQmx/55j3BZ1el2vnvFdDpnUPNDLncNcWLmdlvCuQOudA1SDSJigzmyTFGgbFGzZgeLFpHg6KFKD/MUqG06xsYYN+lhlmxb1kctH/hcNUOlsTLsTs1E+MC2J0MmkJnx6RoNyY+EnHohoh4lZOe9nd0rahNyM3D8pe03nFgSFeFb/2ZbDiUisue184PtHwM+vd4NnHNfcc7NOeeqzrlPA18CPrzGbZ91zp1xzp0ZHBxs4zBFOifbA+/++PYaUSzxG8bJr3j4u9jhbz0DN0Le829KHHi+SPeFHPlpHxK2teHnkoWqz/zCynQ2V8+wUA/aliQTPK7Qu+nGFA08xslzniHOMcQ4Jer46X3NmKTI6+xjmN7miX8aAmPzuNC9j0ab+kU3zONC9xCxd296NcZyXXf+VgkiFoL7q2LOYDGIuFoa2PZL6YCrxX5uh0WGrZfX2M8Nepkjg2sGKaDZuMNjihzD9PM6+7lFF4sbfL63QMB5hphtR8e+eyTOuDZfXHGdc3B7Itd6FdRBOOfRdynDga8W6b+YIzsWcvJrIUEDcvN+x4NUNA8nzrYvSAFkuuGJ72vb4URE9rS2VKbM7FuAg8C/2+JdHTu5cYfIHvStPw1f/VR7jhVWjRNf8bjwTQlJe2citSRX9njk5ZDhp43sdECX51joq1PdV2cxn+ADcQsZInHG7bE8J47Orbh+uFzi8d7tN6O4y5iiQIWIR5gkbEYgmv9dJKBMhjlyVAjxMJbqS6sHEaNMljJZjIQuFhmwCjmvxku9R3ikPEZfrdLyD8EY42L3IHX//m++M5jIFdi3MIPvHLfz3Wt2HkwMylGWG4U+Ds1Pbnk8Dqj6AS90HeeG39MMTl5zjOtLmq07JigySYGAhG4qFKhRoIaHSzfxJc8t1n4O2+GccbOSJ3Yr30mTMxFb7SFvDYjmfPIzAZnJIA0pCYBhMTz6UkhUsy0fdycEVXj0hfZ07lsSFuADn4T7sr2IyFvUpk6/zCxo3tYHfDPLAg3n3NLMhz8P/Hvn3Nw6x+gB3gt8gXTGxA+SrrH6q60PX+TBU9wPb/9BeOUz4NrQSC1bMU6c9bj0noRkD5zAlKZ8Dr8G19/WAIzCeERhPCIOExZ7GtT7GiwU052APQ82+4F4eSFgoeqTy9w982tnM4rlqoS84QbpjheYq0d4WY/YvOZp/PIKy+Y5PGbIM0Me32ICEq519XLSjVNo1CnVKhTrVXKNzU15SzAud6fT6dZieIxnS3TXKpTDzLofXSVmTGfzhEmDfQuzGzwXqHs+5TDLXJSjHGa47RUZoQvXYrR1pJW7Gj5jlJjEkQCBSyjXA2r4FMIGbd6WC9zqTSecg9vjuQ0bT6wITzMBVjU8L+3Kt+IFT+DkKwGZim27U147ePU0SAV12hrsgky6Ua+IyMNis59l/yzw88v+/lHgF4BPNoPVDwB/9t47mdnPAO93zn0XEJK2V3+c9BzkDeAjzjntNSUPnW//W/Dqv4ZGm7pS52eMoy8aw+9yuD0QqHrGfBoXHSMn4zsBz697FMYiGIvoxhFnHYtdDRq9y8KVrV25cs4YHctx7HB5xfUjC3m6M1UyftxynTtOjGrsU419FmOfhUbEfD3AgFxQ42RuFlz7zjljfGLz8XAMWx9HwykqQcSocziD/AbhKsG4WuqjEmbWfZzEYCxXYiGI2MyLk5gxmu8CjKGFmRX3qN0TnhJr9i00mCLHSJurRjGWBh3zWUgirpdLJEDWjymGdTJ+g4wfk/FjAi9ZbQurTUmAS3Ppc15uphwSL+9j78CvGcGCh7/okVnwyMyuHp7cvSk7geOvBeRnt/DpwQ7ya2mQihZpa7AL8/D+n2nPNGYRkQeFPQhdzM+cOePOnj3b6WGItNW/+gic+21oZ1fqcp/jyrv3RoUKYOxYg9vH4w3H45rhqlpqEOcT4kJCLZMQBy5tG938MD8xx9tOzhCFK1+0yIs53TOF7zWn5Ll0amDijLj5/+V/riUe1UbIYuxTjT0cdqeXX2OVQOBbwuHCPF2ZxbZXRjwceeocY2JF4wtzYM6RGIRJQiZukG1UGarMcr40xEImu7RCa30u/fTK38S4E4wqPjXnU2xU6UsWWPRD6n76Gi2Fp+XGKHCbrrZPv3POqMUew3MlFuL713r5pA3nl3JL5CVk/ZgoqJP1Y3xzeM3L8j+nl+bzdcbV2QKj8wWSxEgSI3YQN4zb3+glLHvkFny8BQ+r253Abw6STYYQi+HE1wMKM3sjSIUL8OjzHmGdto8nKsL/MgJRoa2HFek4M/uqc+5Mp8exVxXf8aR7+ve2utJnZ3z5wBMbfq/M7PPA+7jbW+iGc+6xVh9zD6yyEHk4ffAX4eLvQ2OhfccsTqZNKS69J2GV889dNzgc4Ffh5mPrByrDCBaNYHHlR9oOR5xxNLIJjWyC669SmwpISgnmOTzPYeaIzefKbJFyI3vnnulKnLv1Brv7YMTu/u1115uyFzuP4XKJ3GKWY8U5Ij/B2jStMMHutGd/hHGCpTVaRtpSHaj7fnNaXcSr0SEmguKdqYYRMQEOjwSf5M7//eZ1w41uFl3IqXAczIjxmrfymn9Or6vhEWNpo3EzjgUTTMOKis/yZ+yAEbqYpNDeIOXS78/N+QKT1SxrVdTS79fdr1UTn2riQz268xoufdmRBmy34jkYebfIl8/tT2Oi3X2/eFM+vZeyeMnKx+C+Y6zPr8PJl0KyFdsTQSo7Bydf8PAbtH3NVpCF9/01BSkReWB8wjn3a+04kMKUSIfsewqOfBNc+Xx7q1O5OePRL3tcem9CI9PZtukAfSMBft249mRjyxUzwwiqRlD1YAa4HTH/epHb75onCe9/ZscPlOnpqqV7G7HGc9/GC7LQCHljupe+zCIHC/P45trSQichXad1gSFOMEa0ynbMDfO4yAC1YOWP7SoBq22VbEA19nh9po9T3dOMWA/Gxk8/bj6hy9bPcSabbctX3ssB1+90KWzTSblLX4eZaoYb88X7mkFsRWN5ilrrNg3juUsHcEvBetlth65nt73fU1CFU18LCat7Y41UYRIe+Vp7u/YtZx68TyugReQh1Kk9P0UE+O5Pgb/+speWZBaMR//YI6rsjX/k3RM+j7wY4rVhjZgH9F5d/UUbHilQq3s7nCCNyWqO16f6mK5mSbZSqliHAxr4XGDovhbhNXzOM0htC59/OeBGuYRhXCuXSNzWhukwLtPHDNkVlacE4wr9bQ1SiUvXrF2Y7uFquWtbQWpTj5fAxWulVafqZaZ9/Mr2Hj8zb5x+PiJa3BtBqmtkZ4NUWIAP/ALk+nbk8CIiO+GXzWzczL5kZh/YzoH2wnmWyEOr/xS85y9DkNv4tlsV1tJAlZvdG//QC7Mej54NCerbK+Y4Z0STAWH5/mflnKUnybtQjlua+nduupeZaqYtocoBMWkFap4QMBYJOc8gDbZW1putRZTrYdrSPQ6YXsy2MD7jGj2MkyfBaGBcYoAKmbYEqcTBYiPgymyJN6Z7V10b1W4ugZujORaqqwTTBHovZbFtBKDcjN15n7tOtz930H/VOPqNnQtSAIUhVaVEZM8YMLOzyy4fX+U2Pw2cAA4BzwK/bWYnW33AvXCOJfJQ+8And26dgR8bjzzn0T1Kc/1HZ2UrHo8+HxEussVosJIlRt+l1cNBte5zbSRPskvPtxoHXCl38cZUHxOL7alUJXhcYpDxRo7zbuDOnk2bvr+D63PFFYHnRqVA3NLJvTFCNzddF9fpZcGFq0xC3AKXjq9SD7k0082b073M1TPsypaDDuYrAePT2VW/3HUzwt9G6Oi55XHyxbB5jM4GKa8Bj7xiHDhnOxqkwjx85DfB06IBEdkbxp1zZ5Zdnr33Bs65rzjn5pxzVefcp4EvAR9u9QEVpkQ6LCqk0/3CHQpUnjOOvOhz8FXDa+PmnK2Kqsapr0SUxr1tBTy/6pEfXb2SMTWbZXwy29a1aBupJz7X50u8NtnP6EKuGapaOIltho1rcwV+f/okw3PdxFuslIxV8iT3TJVLnMeN+UJr1RIHExS4MN9DPWlxGmXzec3VIs5P93J+pof5xi720HZQrflculFitaDjV43CrQjXQlXKYjj+asCRc8G211q1Q3YWHvuSR2l8Z4OUF8LJD8Gxb9uxhxAR2Q2ObXwCpjAlsgc88X2w/53pIu6d0nfT49Eve0QLnf+H78fGkVcCDp7zWw94idF9NYPVV//yzfEcM7MR2yujbF3sPG5Virw62c/NSo5G4m2+WuWMeuJxfrqXyWqeBI+5WoY3p3tZaGyulleLPUYX8ncaSSw3Vc1SjbcYhpqt5M9N9zKykE7Hm61FJJsMZS4xEgfT1SxvTvVxaa6bxXiXyxgO6g2Pc8OlNcfddzmL10JIzJaNx78S0TXuYZ3u2Oegf9h49Cse4aJBY2fH44fw4V/d0YcQEWkrM+sxsw+ZWdbMAjP7UeDbgN9r9ZidPqcSEdL209/7T3emGcVy2Xnj9Bc9ukc6P+3PMPpuBjx6NiRaBL+FE1kP6Lu6+pQtMK6MFCgvBLseqCCtBI0tFHh1so8LMz1MLmaJm3sZrRZmEgcz1Yg3pvpWhI2YtOp1frqX8YUsG20NeKNcWqdVuTE817XplyNxMFXN8MZUH9XmmBLncXmui+vlwtoh0aUBar4WMlwu8Y2JAYbLJWqd2ADNQSM2zg2XVm7Cu0xm2ieY87dWtXPQdz1dBxgu0vHW514dTrzocfCC7Up1LMynU5RLB3b8oURE2ikEfgkYA8aBvwJ8xDn3ZqsH1CxnkT2i/zS85y/BC/+ovXtP3ctLjCMv+xT3Jdx4yuH8zrZPz857nH4u4sbbGswMJKxxvrsqlzSbUezzqBdXiwjGxeslHjs2Sy4Tt3trnU0yFhoh1xoh1+aLlMI6A9kFilENazYrTxxcLxeZrq3dicRh3JovMlfLcLQ0e2eD4uVmqnebTqxlqRlFX3Zx7UkNzU2Pr5aLzNRWC6vGVDVHpRFyomuG0EtXZyVALQ4YW8gyU8vseFe+zYgdXLhaor5WZa+FphNeA469HlCc9LbVrKJd8lNw/CWPIGbXQl1+CN6rphMi8oBxzo0B72nnMRWmRPaQD/4ivPH/wtQldjzh9N72yM86rr47oZpnSyGm3bzEOPKNkMK+Bjcfj8HffDHJEqPvQo7bT8+vWmt3zjh3tcTjx2fJhEmHAtUSY64eMVeP8HB0ZaoU/DpffGM/5cWQrnyDYrFOMV8nCpMVG+ZC2pa8XE+rV4eKc3RHtTu3qcUeV8ulTXXZu1EpUIpqhP79r7JzRi32uDTbvX4lycFiPeT1yT725edJMKarWeqdqD6tYakF+mJt7V91PdfSphOb/edWGvM48mawq8FlLX4NDr9plG7v7NqoewU5+IF/l07zExF52ClMiewhYQ5+5Hfg2WegXtn5x8ssGI9+yWPqoOPWEw7XmRlxd/TdDijO+Nx4os58l9v0Jr9B3ei7kmXyxOKqX08Sj3PDXTz+yAyB356NdrfDHNQT45UrfUzO3O1kN1WOmKuEJA7MHF35BoVCnUwUk41igsCRWDrV7tpcF5NBg0OlWSIvYXi2G7fJSlDi0rB0qmcKb+m1aG6aO1rJMbqQv3+qoKO5wa2jVg2YmguYq4RUFgOgn1y2wfED5TQEdr4gRZLAlZsFKgtrn/Fnpnxyo5trOhEuwNE3A3IzO9tmfFOaLc8PnLf084NdHE+YTz/0OfjMrj2kiMiepjAlsscMPA7f9avwub+8O4EqXbtkdI86Rh5PmNwProPFhWjReOTFiNm+mBtPNEiijc8VXWJkJgKy3QGL/avvDNyI00B16ugsUeA6U6FqdrSbnYu4dju/6hqextKJvbM0XM2HmKXT1ZyDKEzIRQlRtkE2ihmZy0IFwnyMnwHPuK+idd8wHFTqAVemSxztKuN5jrlaxI35Io3YJ2mGJoC44VGr+8xWfObml8LT/Q+wsBjw+uVu+rqrHBqqEHitNTNshySB4VsFZstrL0L0akbvxdyG0/Qshn3DPgNX/bRBRYf3jspPw9FveIRVdr3hhR/BkW+B9/21XX1YEZE9TWFKZA9618fgwufg3H+ExurFlrbzG8ahb/j0XXFcf0fnp/51TfoUv+wxdixm9GiMbTD1zxKj91KW0cI8cXb1SVu1us8bV7o5fXSWbLS7U/5ckj7+lZuF1TeMXUPDrWxYUa37VOs+zIeEnsOmArovZRh711LydpiBZw7PSNdWGSSJESdpdSnd1Dh98sVMladOTjNZzlFZ9KlU0+Mv1nwaja3ul2RMzmSZmYs4sq9CV6mGt8vvoSSBS9dLlCvrzEFzMHAuh5+sP5t2xZS+Dq+N6tSUvuUy3fD9/2rjsC4i8jBRmBLZo7731+FX3waz13b3cXPl5tS/A45bb3Pgd25piJcY+y4H9N7yuflEnfIGU/+8JD1Jvv1kZc1epXHs8eZwN48emSOfbez8lL8krSrdGM2vmNLXDvGix9D5HF5s9L+eY/rkIgQQexA7SzsBrtJ63nNpuCvdiCiMFLnyxX6mTiyuWdXb8rgSjyu3iuSmdnHqn4M4MS5cLW0YVruuR4QL3prd+7Jl49AFf09M6QuqMDRs9F3d/Sl9K8aRgx/6D5Dr68jDi4jsWQpTIntUVEzXT/3a+3a2u99qDKPvltEz6pg47Bg96dKT9A6dV0aLxvEXI+b6Em6dblDLrB6qHEZQ9ei9mmHqeHXN4yWJcX64xIlDZYqF+s6c6CdpoBkZzzIxnd30vkyb5mDg/N3qSmY2YOilApX9NeYO1jAvDVXLec2pgrmpgOJwBr/u3TlW76Uso8V54kz7Op8sTf3rKtQ5NLRAGMY7U6lyUG8Y5692UauvP0c1mvUpjKy+Tio/Yxy8FJCdsY5P6QsX4MBlo+uGpevaOhjqwjx869+EI9/UsSGIiOxZClMie9i+p+FP/B/wX/767qyfupcXG4PDRv9Vx/QBx+3TjiS8/yR9t5QmPYrPhcz3Om4/2mAhf3+ocomRHQvJdDWo9q29I7DDuHijyNF9FXq7q20LVC5JKyQ3x3JMzWa2tnfRFvRcjQgqK6sr5ozCrQz5kYj5wTrzh2u45gZeDsiPhRRuRHdD1DKeg4E3cow+WWnzmjljdj5i9nJIIdfg8GCFTDZOA0IbXhpzsFjzOH+1i8YGb0yvbvSdu2edlIPiZBqiooo1N5HuXHDJlOHARaM42qxEdXp6YQQH3g3v/5mODkNEZM9SmBLZ4878FIy+Ci//ZmcCFYDn0iYVvTcdM/vSUFXPsOlue+1kGMUpo/hCRKWUMPpog7mudDriUk3FEqPvYo6xTIVGYd2VVly9nafW8BjqX9hW1cQlUG943BzLMT0XsZMn5MWbIfnRaM0TbXNGcTSi63ZIua+OCx358WjdZgvOpVW9wTfzjD6+9jTJ1hnzCyFvXu0ml2lwaHCBfL6+vVCVQKUacP5aKd0Meb1Hj2Hw9WXrpBx0j3ocuOwTVDu3DonmWApTsP+yR26SjlfFlngBdB+FH/4d9kSHRhGRvUhhSmSPM4MP/99QvgUX/vPuT/lbMRaMnttG921HuR/GTiXMl8DzYO0a0M7Jz3kcfzFiMZ8wdjJmuj/Bs3RGlCXGwOt5xp5cuyFFyhiZyDG/6HP8YHlLXegsSZ93tRpwczzL3HzITlc1suMBpRuZdSsWfgLEMDQc8MQfZvBimOtPuP1oTDW79kbNzhnhvMfAhSzjp9bZ1HebFqoBF66XiMKYQwMLlEo1PKyZIjYnSWBiMsuN8RwbDrS5li6oeoTzHn23PPpu+fgJWKODVag56Ltl9N4wvCTdDLjjffuXGOT64WN/CNnuTg9GRGTvUpgSeQCYl3bR+vR3wM0XIF57OdDujAejNAGlCZ9G5Jja75g65qhm2LDr3k7IVjyOfN1jf+SYPhAzeSim3mzmNvhantGnKiTh+ifqc/MRr1/u4eShOXKZeO3KTLO9eaPhMTqVYXo2h9IiOAAAIABJREFUs+H0snbJTPv0Xs6uWmEKXNroojRj9F7zKU14eMtSYdeET9eET6WUMH0oZnIo3RQ4XmWaZDQT0Hulue5sB8/ta3Wfy7eK2Iijq1BnqHeRXK6RvvTrvP5xYly+UVy/Y9+y2+9/JcfghYjBmz7BQmfXIIWL0HPT6L9hBNVmfuzwVL7VZLrgf/gjKB3o9EhERPY2hSmRB4QfwUc/B7/2Xpg4D0m90yNKBTVj8KoxeBWqecfUofQSB7s/DTCsGYPDAYPDAYuFhKmDMWOHYwq3QspHahtWnBoNjzeHuzg4sMBA3+LdaX/NAJUkxuR0honZDNXa7j65sOzRd37leh+ftEKTqxi91zx6xnz8DSot+TmP/BseB950lHsdU4djZnoTfIPG0vNNjNx4SCNyzB2q7dyTanLOmClHzJQjfC+hu1RjX2+VMIrxbVmlMEmrWhevFzcMsBZDdirgid8rMnDNT7+XnQhQDjLzUJww+keMaDat5NLBithGwgL82H+F/lOdHomIyN6nMCXyAImK8Oc/D//4Xem0P7fbJaANZCrG/vPGvvOOhS6YPpQwNwi1THriH3vr7+vTTtl5jwPnPfafD5g6Ylw5A2OnahhppW/V8+oEovmAues9WNig/72TxLExWw2YmI3W3LB2p/kLxuCrBQCC5tTCsAZ9N3x6Rnyi6tbHZM4oTRqlSY/Ec8wMJkwdiZkvOnwHDYzi9Yg4TKgMtadl+mbEicfkTJbJmSxhENPbVaMw51F7vpfEdyyWYoLuhLirgVv+GyyBqOyTmfXJTwd4FY/BKwH91/20Qrdb81Cb4akwafRMQG7SMJdupnwnQO2xf7fLBTn4gc/CwTOdHomIyINBYUrkAVMYhB//Ivzjd8PiVKdHszrDyM9CftaH1yH2HfO9UB7c/XBlGH3XMvTdjJjtizn33hrV7gb1vgaL+QRrnoR3X8/gVzzMS9dCOZdh/EoB8xyNKKF+chGKu38W7MfQfSULQO+YR3HMozDtES22L9R5idF726f3tp9+r7oTyv0Js0MJxZsRC70NCHcvCC+JFwLiNwosTgVYYhiQW/DJT6QVuSRy1HMx2enmdD/PYS6tdPWMeOy/7OPt5BQ6l07by8xDZt7onlwjPD0gghz86X8Cj/6JTo9EROTBoTAl8gDqOZ4Gqt94PyxO770K1b382Ogah67xZrgKHPM9UB5IqPbAYhbqYbp+xDNIvB348D42usYCDn8Dxo/5JDcy+A1HtZSAJeRnfeoBWCMdg2s21XCJ4S/6DLyWp9rfYPpodcP1V60KknQfqNjS1yya9clMBwxeCnjklcyOPOa9/NjomvTpmvQ5eB6mBxo0so5qd4Nab4N65O58n2LboaZzDgq3Q7quZZp7Y919kMAZrpY+brZsZObTUO43IA4MHDzyss/bvxCyUIJqwVHLQdKcdhoH6fd2wwKjSxtC+HHz//W08pqdh3zZiMoQLDaP5acbRj9o4Wm5IAd/8u/BUz/a6ZGIiDxYFKZEHlCDb4P/8UX4p98K5ZG9s4ZqM/zGsnDV5MxRy0K1kK69qvY4FktpyEq89OKay2TMNS/LjrnUTXrpvNuS9ATXSyCsQ7YMfhmGzgfgBYw+slQ+4J4xuPTx845ql6NacCxmHHFoZMdD9o+HjL5zDhelj7nZwoe/NF6XXuLmeIOGEVY9/LKHv+ARLHoECx5+w8OL4dAbPr23O/ejumc84B3/2efiMzWSCBqeI84mNLIJ9WyCK8XUsgmNyOGWnmfzNXGWhuLNBC5zac8Jl8D+s6W7X4ghWzOyFSOaaf6/YmQWDP+euZoOR99149AbHl6cbjrtAsM1X3OS9HFw6XvJeeCaIctcGqQtbgYj1xz3UvCyZk+MOix/51lMZ1pZtlGYh+/7DDz+kU6PRETkwaMwJfIA6z6aBqpPfwAmL0BjsdMjap05I7MAmQUAg6ur3y4xd6fKsPR/i9PKhNesIqRBa50z+MDRMwoXn0mIo3vHkI6DiXse10sD1sShBnEhx2IhwfmQeEk6BS5wuMCR+A5z6eav1jCoGzQML7H0RD02LDaCRQ+/amuO04vh6CsBXVMd2MzrHpkF49TzEZeeqUHO8Co+YcUnt+w2DkcSOBrZhCRstl/309fD+Q6C9DVKAofzHJYYXsPS16gBFtud1yY7n3DwjYhsxcOvb/C9vDsADp336Lu6bM+oxLDa6kUoS0iT3jrLwczxwAeljURF+JHfhWPv7/RIREQeTApTIg+4fD/8hefgX3433Hi+s/tQ7QbPGV6dZoWgRQ0jO+849ZzHxf8uoZ7dxOMmRq5sHH4z4tCbIVP7Ym49FoPf/iZxfgMeeTEkP7d3dkoNa8ajz0dceXedxaK77zkbht8w/PLWx2wAMfSPeOy7ENxXcdpQAsdeNbpG0zAmGzMPsj1pQ5t9T3V6NCLyIFtY9Hn5zd5OD6Nj9s5vahFpWVSAP/df4PT3pFN2ZBNiI6rCqS97ZMpbu6th9N0OePxLEf1X0+l4fhuWUXlAUINHX9hbQWqJHxuPnA0pTFm6MfA2GWlVsWvS49TZkINvhlsOUhbDyRe9NEg9wGuWdpMXQukgfPxrClIiItu1935bi0hL/BC+/1/Du/+iAtWmJZaGl6945Ke3fnc/NvZfDHniixGDl3z8RtpEohW+g3ABTj0fkVnYuz+aPWcceymkZ9RL1xa1cgzSENR72+P08yHHXgrJzm/9Ofs1OPW8R2EaBalNCnLQfzqdHtxzrNOjERF58Gman8hbiFnakevgGfidn4R6hd3vZ/3AMfwGnHjBY+SUY/yYW32RzTr82BgaDhi45jO5P2b0RIwL0i5zm+El0DXhcejVYGdbebeJYRx8LSA3HXPzVLzpzZl9l7Y07x/xGLgcENZaf675aTj+okcQ05nNeB9AYR7e/oPw4V+FMLfx7UVEZGMKUyJvQU9/FA69F/7l98Dstbf+Oqp28BLjwEXonjCuPLWyMcVWjjFwM6D/ls/0UMzoyZh6SNqMYa37xHDwTZ++kQfrx7Fh9N0MyM94XHlHnTizdqYJEkgc9F/3GBgOCLZTRXIwdMUYumAPRPDcC8xLK1Lf++tpmBIRkfZ5sH57i8im9Z+Cn3oFPvdX4OufaVapZF3WMApTjse+5HHlXQmVnhaP44ze2wE9t30qXY7pQzFTgwnm3a1W+S7dp+jYyyHZyt6d1reR7LzH6ecibrytwcxAQtJ8KoGD2EFx1ui95tM14W07/Pg1OP6KR34GTEFqU4Ic9DwCP/Lb0Hui06MREXnrUZgSeQsLMvCnnoWTH4L/8LE0UO31DX47LjaCOJ32N3bScfuRrU/7W2IYhVmjMOtx8A3HXF/C5KGE2f6Erlseh849GNP6NuIlxpFvhBT3Nbj+eExmwei77tEz6m+vCrVMYRKOveSla9I0rW9Tghy868fhQ/8n+C1UWkVEZGMKUyIPgbf9WTj4DPzWn4KpS6pSbYaXGEOXoTRhXH46Ic5s73jmjO4Jn55RnwOvOgyPqeOOSjFtyJB4D+bytqUKVFiDx78U8u7fDrj5JNRzm9/QeF0O9l8yBi4v2z9K1uWFEGThz/wLePxPd3o0IiJvbQpTIg+JnuNpK+Sv/D34/CchrkOynb2aHgLWMPIzjsf/yGPktGPiSOtVKi+G4jQc/LpHVE0P0ncr3Qx4vgfKAwnlIVjM7e1wtRSegjqUpqB42yhM2opmEqe+6Bg76Rg97mCd9WIbyU/D0W94hFW0f9QmBTk49WH48D+E4v5Oj0ZE5K1PYUrkIeKH8M1/HZ76KPzuX4aLv6cq1YZiwwcOnoeBa8bVtycsbGEtle/Aq8Lhr3uUJu8PBF5ilCahNOnDOUh8x3z33XC1kAPPgWdpwNqtWZrWHLtL0ll14Trh6b7n5Ix9F4ze646bTyaUe9h0xz9I10YdftMo3VY1arPCPBT2w0d+E469v9OjERF5eChMiTyESgfgBz8LV76QrqWaH4P6fKdHtbdZw8iU4eRZj7n9juun3bod/5Y2pB1cmqLmNhcKvHhluHI46jmo5qFacFS7HYslqGah4adBy6xZMDNwllaC1gpd3tLYIL2hA+fSKXmWQFSD3DxEU0a2YkTzkKnQ0tquaNE4ftZnrt9xvdkhcd3DOOi/ahw4b+kmiApSG/LC9EOSD/4SvPevgKff6iIiu0o/dkUeYse/HT5xDr7y9+HzP6+pf5vhxUb3CJRGjFtrTP1bbUpfqwwjWoBoIV2/tVziOWo5iENIAoj9tLKVBGklqBE6XAacB14NvFq6p5YX0/y/4TXAa0C0CEF9Z8JLacJ47AveulP/NKVv64I8nPouTekTEekkhSmRh5wfwjf/r/DUj8J/+xvw6r9pTu2qdXpke1icVk4OnofBYePWowkz+9PNdzOLsP+11af0tZuXGNn7Kop7M4gsn/p3+/GE6QEwH6I5OHDRKIxrSt9mhXkYeCLdoPvot3Z6NCIiDzeFKREB0ql/H/k0fMevwJd+Bb76TwAHjcVOj2zvsoYRNRzHXvEZJmbgqkdhWoFgPdGiceQln31Zx+gjCYdf38JiqoeYeeBn4Mg3wX//d+Dw+zo9IhERgXT6vIjIHaUD8Cf/PvzPN+BbfhqiUvpJuKxkftp++vT3GB//Gvzc/+Vz+nFLXyvlqXVFRejtMj7+CZ+/dg2+5W9AWND7bDVLbc4f+wj8xefhx/6bgpSIyF6iypSIrCrXCx/4ZNr972vPwh/+nXTqX22u0yPrrCAHOHji++Hb/xb0n7r7tZ/4Mtx4Af6/n4PhP0xfLxd3bKh7TlSE/EDaLOHJH7zbLOE7fxne/zPwwj+CL/5K+po97O+zMJ9Ot33yR+DbfhZ6H+n0iEREZDXm3F7cyWSlM2fOuLNnz3Z6GCIPtbietlI/+ym49F/TT8zr5U6Pand4YXri330UzvwkPPnDUNy3/n3GXocvfBLe+I/pfR+W1+pefpRW8fofgw/+bTj93emUtbU0qnD+d+Gr/xiufL752j0knSb9KH1t+h6FZ34yDZz5gU6PSkTM7KvOuTOdHsde5T/2Dpd99vc7PQwAKh/Yv+vfK1WmRGRT/BBOf096qc7C65+Fs/8PjLyctuZ+q62tMi+tDoQFeNePwzs/Bv2nN3//wSfg+//1w/Fa3cu8tIKX7YZ3/QS848eg7+Tm7htk4Ik/k14Wp+HVfwtf/RSMvpp+Pa7u3Lg7YTuvlYiIdJ4qUyKyLXM34eufgbPPwuy19NP1B3WKlp9Jx4+Dt/8gvPsn4NB70wDUDstfq7kbkDTeWq3oo1L6Wj31o2kAPfBM+167mWvwyr+Arz4L8yNpxar2gFb7/Cz4QRqknvwRePdfaO9rJSLtpcrU+h7UypSZnQK+Dvw759xHW31MhSkRaZu5m+lGwBc+l04FXJjc2+FqKTwlDTj8Xjj9p+D4B2Hf0+DtcJO5sdfgpd+A1/59GqyCLFTnuH8Dpj1sqWGEH8GJ70wrKye+Y+c3jp25BsNfSKcDXv4DqM7s7XC1FJ6cg8PflFZ3H/kgDD25/pRHEdkbFKbW9wCHqd8HcsCwwpSI7EmzN5onvZ+Dy/8NFibSKU0uhto8uxocgmwanpJGurB/t8PTeioTcPWP4MLvpevS9mq4Wh6ejn07nPruNBT0nuxsVWXmahriz/8uXPmDdHpgkEu/17u93irINQN6s+J4+JsVnkQedApT63sQw5SZ/RDwfcBrwKPbCVNaMyUiO6brEDz1I+kF0tAweR4mzqWVmZGXYeJNmL2eVhaWptglcRq44vrmuuH5UXp/89OTVZdAvQK5vnT9ydDTsO+pdM1T/2noOtLZ8HSvfD88/pH0AivD1fDnYXo4fU5BdncCwvLgGVeheAAOvCsNT8c/mDZI2EtT0rqPwjv+XHoBqIyn77E777OX0j/P3UzX/nkhd95nSaMZsDd6n1nzvsvfZzHUF9ImEau+zw4rPImI7DVm1gX8beA7gL+w3eNtKkyZ2SeAjwFPAb/lnPtY8/rjwGVg+a/2/90594trHKcP+HXgTwDjwN90zv3L1oYuIg+afH96uXefHJekJ7oT52FxKq3I1Mrp9MDF6fS6ham0mUNcg0w3ZHvSsJTthkxXul4nKkKmBD3HofdEGgoeRPeGK+fSqt6qAeFG+nU/TE/yPZ+7+1w1AwPubgBYut4lzTBRhyRJH/NBCJ6bkR9IL0e+eeX1LkmD++SF9P209B6rzqVTBRcmm++3mfR1yXZDtjfdJiDT03yfNd9jUSltV957ovkhgIiI7AUDZrZ8Otuzzrln77nNLwK/7py7Zm34ZHCzlambwC8BHyKdW3ivHudcYxPH+VWgBuwD3gn8JzN72Tn36ibHISJvQealn+J3He70SPYms3UCgkurR7XyyhC6/M9JY2XYXPHnYjp972GooJiXVrG6j3Z6JCIiskPG15vmZ2bvBL4TeFe7HnBTYco599nmAM4ALZ3umFkB+LPAk865MvBFM/uPwJ8D/kYrxxQRediZpRW4IKs9iURERDbwAeA4cLVZlSoCvpm9zTn37lYO2K7PIofN7LqZ/YaZrfXr/DQQO+fOLbvuZeDtq93YzD5uZmfN7OzY2FibhikiIiIiIg+pZ4GTpDPk3gl8CvhPpLPvWrLdMDUOvAc4BjwDlIDPrHHbIjBzz3Uzzfvcxzn3rHPujHPuzODg4DaHKSIiIiIiDzPnXMU5N7J0AcrAonOu5crNtrr5NafrLS3yut1sVHHLzLqcc7P33LwMdN1zXRewR3egERERERGRtyrn3Ce3e4x2Lzle2hFltdYY54CgudvwkncAaj4hIiIiIiIPnE2FKTMLzCwL+KSLtLLN695rZo+ZmWdm/cA/AD7vnLt3Oh/OuXngs8DfNrOCmX0L8L3AP2/f0xEREREREdkdm61M/SywQNp176PNP/8scAL4z6RT9b4BVIEfXrqTmf2MmX1u2XH+Emlr9VHgt4CfUlt0ERERERF5EG22NfongU+u8eXfWud+f/eev08CH9nk2ERERERERPash2CbRhERERERkfZTmBIREREREWmBwpSIiIiIiEgLFKZERERERERaoDAlIiIiIiLSAoUpERERERGRFihMiYiIiIiItEBhSkREREREpAUKUyIiIiIiIi1QmBIREREREWmBwpSIiIiIiEgLFKZERERERERaEHR6ACIiIiIi8mAK530OfqXU6WEAcKEDj6nKlIiIiIiISAsUpkRERERERFqgMCUiIiIiItIChSkREREREZEWKEyJiIiIiIi0QGFKRERERESkBQpTIiIiIiIiLVCYEhERERERaYHClIiIiIiISAsUpkRERERERFqgMCUiIiIiItIChSkREREREZEWKEyJiIiIiIi0QGFKRERERESkBQpTIiIiIiIiLVCYEhERERERaYHClIiIiIiIPBTM7F+Y2S0zmzWzc2b2E9s5nsKUiIiIiIg8LH4ZOO6c6wL+NPBLZvZMqwdTmBIRERERkYeCc+5V51x16a/Ny8lWj6cwJSIiIiIiDw0z+0dmVgHeAG4Bv9vqsRSmRERERETkrWDAzM4uu3x8tRs55/4SUALeD3wWqK52u80IWr2jiIiIiIjIHjLunDuzmRs652Lgi2b2UeCngH/QygOqMiUiIiIiIg+rAK2ZEhERERERWZuZDZnZD5lZ0cx8M/sQ8MPAH7R6TE3zExERERGRh4EjndL3KdKi0jDwV51z/6HVAypMiYiIiIjIW55zbgz49nYeU9P8REREREREWqAwJSIiIiIi0gKFKRERERERkRYoTImIiIiIiLRAYUpERERERKQFClMiIiIiIiItUJgSERERERFpwabClJl9wszOmlnVzH5z2fXvM7P/YmaTZjZmZv/WzA6sc5zPm9mimZWblzfb8BxERERERER23WYrUzeBXwL+6T3X9wLPAseBY8Ac8BsbHOsTzrli8/LYFsYqIiIiIiKyZwSbuZFz7rMAZnYGOLzs+s8tv52Z/UPgC+0coIiIiIiIyF7U7jVT3wa8usFtftnMxs3sS2b2gbVuZGYfb04tPDs2NtbWQYqIiIiIiGxX28KUmT0N/C3gr69zs58GTgCHSKcH/raZnVzths65Z51zZ5xzZwYHB9s1TBERERERkbZoS5gys0eBzwH/k3Puj9a6nXPuK865Oedc1Tn3aeBLwIfbMQYREREREZHdtO0wZWbHgP8K/KJz7p9v8e4OsO2OQUREREREZLdttjV6YGZZwAd8M8s2rzsE/AHwq865T21wjB4z+9Cy+/4o6Rqr39vukxAREREREdltm+rmB/ws8PPL/v5R4BdIK0sngJ83sztfd84VAczsZ4D3O+e+CwhJ26s/DsTAG8BHnHPaa0pERERERB44m22N/kngk2t8+RfWud/fXfbnMeA9WxibiIiIiIjsYbk5j6f/INPpYQBwoQOP2e7W6CIiIiIiIg8FhSkREREREZEWKEyJiIiIiIi0QGFKRERERESkBQpTIiIiIiIiLVCYEhERERERaYHClIiIiIiISAsUpkRERERERFqgMCUiIiIiItIChSkREREREZEWKEyJiIiIiIi0QGFKRERERESkBQpTIiIiIiIiLVCYEhERERERaYHClIiIiIiISAsUpkRERERERFqgMCUiIiIiItIChSkREREREXnLM7OMmf26mQ2b2ZyZvWhm37WdYypMiYiIiIjIwyAArgHfDnQDPwf8GzM7vp0DioiIiIiIvKU55+aBTy676nfM7DLwDHCllWOqMiUiIiIiIg8dM9sHnAZebfUYqkyJiIiIiMhbwYCZnV3292edc8+udkMzC4HPAJ92zr3R6gMqTImIiIiIyFvBuHPuzEY3MjOP/7+9+w+1u67jOP58sUssXUJjKExJKMxEcUYjCVGDJELyB1kiadoftWFIkBFYTFtlgoJ/+IdZq8RmGaZOK0wNQrQoymswdSpm2sKkcqZrU9umvfvjfK8ejzv33r5nu+d73PMBX+7O5/M93/M5vPc+2/t8Pt/PheuBncAFo7ygxZQkSZKkfUKSAN8HDgJOrqpdo1zPYkqSJEnSvuIa4AjgpKp6adSLuQGFJEmSpDe9JIcCq4FjgL8n2d4cZ7e9pjNTkiRJkt70qmozkD15TWemJEmSJKkFiylJkiRJasFiSpIkSZJasJiSJEmSpBYspiRJkiSpBYspSZIkSWrBYkqSJEmSWrCYkiRJkqQWLKYkSZIkqQWLKUmSJElqwWJKkiRJklqwmJIkSZKkFiymJEmSJKkFiylJkiRJasFiSpIkSZJasJiSJEmSpBamxj0ASZIkSZPprf+Go+9aNO5hALBhDK/pzJQkSZIktWAxJUmSJEktzKuYSnJBkukkO5JcN9D3oSSPJnkxyd1JDp3lOkuT3JrkhSSbk3xyxPFLkiRJ0ljMd2bqaeBS4Nr+xiTL6C1PvBhYCkwDN85ynauBncBBwNnANUmO/D/HLEmSJEljN69iqqo2VNVtwLMDXR8DNlXVTVX1H2AtsCLJewavkWR/4Azg4qraXlW/AX4GfGqUNyBJkiRJ4zDqPVNHAhtnHlTVC8Cfm/ZB7wZeqarH+to2DjlXkiRJkjpt1K3RlwDPDLRtBd425Nyt8zyXJKuAVc3DHUkeGmGcGq9lwJZxD0IjMYaTzfhNPmM42YzfZDt83ANQd41aTG0HDhhoOwDYNuK5VNU6YB1AkumqWjnaUDUuxm/yGcPJZvwmnzGcbMZvsiWZHvcY1F2jLvPbBKyYedDcF/Wupn3QY8BUksP62lYMOVeSJEmSOm2+W6NPJVkMLAIWJVmcZAq4FTgqyRlN/yXAA1X16OA1mvupNgBfT7J/kuOA04Dr99SbkSRJkqSFMt+ZqTXAS8BFwDnNn9dU1TP0duj7JvAccCxw1syTknwlyR191/kc8Fbgn8CPgfOraj4zU+vmOU51k/GbfMZwshm/yWcMJ5vxm2zGT0OlqsY9BkmSJEkTaHlW1mq6cVvZWnL/Qt+fOOo9U5IkSZK0T7KYkiRJkqQWxlpMJbkgyXSSHUmuG+jbL8m3kmxJsjXJvX19a5PsSrK973jngr+Bfdyw+CU5eyA2LyapJO9r+pPk8iTPNscVSTK2N7IPGyGG5mAHzPEZemaSR5JsS/JwktP7+szBDhghfuZfR8wRw88kebyJz51Jlvf1mYMdMEL8zEG9atwzU08DlwLX7qZvHbAUOKL5+YWB/huraknf8cTeHap2Y7fxq6of9ceG3sYjTwB/bE5ZBZxOb2v8o4GPAqsXbNTq1zaGYA52wW7jl+Rg4IfAhfR+n9+XgBuSHNicYg52Q9v4gfnXFcNieCJwGb1di5cCT9LbeGuGOdgNbeMH5qAaYy2mqmpDVd0GPNvfnuRw4FRgVVU9U1WvVNX9YxmkhhoWv904D1hfr+12ch5wZVU9VVV/A64EPr33RqphRoihOmCW+B0CPF9Vd1TP7cAL9H4PIJiDnTBC/NQRs8TwFOCmqtpUVTuBbwAnJDEHO2SE+GlCzTYb2da4Z6aGORbYDHwtvWV+DyY5Y+CcU5L8K8mmJOePYYyahySHAicA6/uajwQ29j3e2LSpg4bEEMzBLpsGHklyapJFzRKxHcADTb852G1zxQ/Mv65Lc/Q/Bjiq+WkOdttc8QNzcFLNtiqulak9daE97BB6f2FvAZYDHwBuT/JwVT0C/ITeMsB/0Cu8bknyfFUNTsFq/M4Ffl1VT/a1LQG29j3eCixJEmc+Oml3MTQHO6yqXkmyHrgBWAzsBD7R/PJ0MAc7bR7xM/+67xfAjUm+DfwJuAQoYL+m3xzstrniZw5OqKraAJBkJb16Y2RdnZl6CdgFXFpVO6vqHuBu4MMAVfVwVT3dLP/7LXAV8PHxDVezOBf4wUDbdnr3Acw4ANjuPyCd9YYYmoPdluQk4Argg8BbgBOB7yU5pjnFHOywueJn/nVfVf1tMu9+AAACs0lEQVQK+Cq9L4U3A38BtgFPNaeYgx02V/zMQfXrajH1wNynvE7x+ulYdUCS4+jNLN480LWJ3k23M1Y0beqYWWI4yBzslmOAe6tquqr+W1X3Ab8HTmr6zcFumyt+g8y/Dqqqq6vqsKo6kN5/yqeAh5puc7Dj5ojfG07HHOyKZc09UTPHqr39guPeGn0qyWJgEbAoyeIkU8C9wF+BLzfnHEfvG7q7muedluTtzdai7wc+D/x0PO9i3zVL/GacB9xSVdsGnroeuDDJwc1Wo18ErluQQet12sbQHOyGWeJ3H3D8zExGkvcCx/PaF1XmYAe0jZ/51x3DYtj8PKqJ0TvoLQm7qqqea55qDnZA2/iZg522papW9h3r9vYLjntmag29JX0XAec0f15TVbvobUd5Mr11xN8Fzq2qR5vnnQU8Tm/KdT1weVUNLiXT3rfb+AE0H05n8sYlfgDfAX4OPEjvW57bmzYtvLYxNAe7Ydhn6D3AWuDmJNvofat6WVX9snmeOdgNbeNn/nXHsM/QxfTuedsO/AH4HXBx3/PMwW5oGz9zUK+Ky3MlSZIktbE8K2s10+MeBgBryf1VtXJYfzP7P0XvnrhDgM8CL1fVy21fc9wzU5IkSZK0EIauyGmrq1ujS5IkSdIeU1Vr6S2j3mOcmZIkSZKkFiymJEmSJKkFiylJkiRJasFiSpIkSZJasJiSJEmSpBYspiRJkiSpBYspSZIkSWrBYkqSJEmSWrCYkiRJkqQWLKYkSZIkqQWLKUmSJElqwWJKkiRJklqwmJIkSZKkFiymJEmSJKkFiylJkiRJasFiSpIkSZJaSFWNewySJEmSJlCSO4Fl4x5HY0tVfWQhX9BiSpIkSZJacJmfJEmSJLVgMSVJkiRJLVhMSZIkSVILFlOSJEmS1ILFlCRJkiS18D+0bIi2sBjHSQAAAABJRU5ErkJggg==\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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HeZ9Qdz933SYCAACYs7VcGvfbK76vJG9L8sr5jAMAADB/a7k07pqV21X1ltVrAAAAJ5O13D4bAABgQxFCAADAcNZys4R/sfpnfI4QAABwMlvLzRKuXrXtc4QAAICT2lpulvBdUwwCAAAwlcnfI1RVT62qB6rq2hVrF1bV/qo6UlW3VNVZU88FAACMYxE3S3hbko8f3aiqrUluSHJZkjOS7E1y3QLmAgAABjFpCFXV7iRfSfKBFcsvSrKvu6/v7geS7ElyXlXtmHI2AABgHJOFUFVtSfK6JL+watc5SW49utHdh5PcMVsHAABYd1OeEXp9kqu7+3Or1jcnObhq7WCS01c/QFVdUlV7q2rv0tLSnMYEAAA2uklCqKrOT/L9SX79GLsPJdmyam1LkvtWH9jdV3X3zu7euW3btvUfFAAAGMJaPkdoPVyQZHuSz1ZVsnwW6JSq+u4k70jysqMHVtVpSc5Osm+i2QAAgMFMdWncVVmOm/NnX+9IclOS5ye5Mcm5VbWrqk5NcnmS27p7/0SzAQAAg5nkjFB3H0ly5Oh2VR1K8kB3L822dyW5Msm1ST6WZPcUcwEAAGOa6tK4r9Pde1Zt35zE7bIBAIBJLOIDVQEAABZKCAEAAMMRQgAAwHCEEAAAMBwhBAAADEcIAQAAwxFCAADAcIQQAAAwHCEEAAAMRwgBAADDEUIAAMBwhBAAADAcIQQAAAxHCAEAAMMRQgAAwHCEEAAAMBwhBAAADEcIAQAAwxFCAADAcIQQAAAwHCEEAAAMRwgBAADDEUIAAMBwhBAAADAcIQQAAAxHCAEAAMMRQgAAwHCEEAAAMBwhBAAADEcIAQAAwxFCAADAcIQQAAAwHCEEAAAMRwgBAADDEUIAAMBwhBAAADAcIQQAAAxHCAEAAMMRQgAAwHCEEAAAMBwhBAAADEcIAQAAwxFCAADAcIQQAAAwHCEEAAAMRwgBAADDEUIAAMBwhBAAADAcIQQAAAxHCAEAAMMRQgAAwHCEEAAAMJzJQqiqrq2qe6rqr6vq9qr66RX7Lqyq/VV1pKpuqaqzppoLAAAYz5RnhN6YZHt3b0nyI0neUFXPrKqtSW5IclmSM5LsTXLdhHMBAACD2TTVE3X3vpWbs6+zkzwzyb7uvj5JqmpPkgNVtaO79081HwAAMI5J3yNUVW+vqiNJ9ie5J8kfJTknya1Hj+nuw0numK0DAACsu0lDqLtfmeT0JM/J8uVwDybZnOTgqkMPzo77OlV1SVXtraq9S0tL8x4XAADYoCa/a1x3P9TdH07ypCSvSHIoyZZVh21Jct8xfvaq7t7Z3Tu3bds2/2EBAIANaZG3z96U5fcI7Uty3tHFqjptxToAAMC6mySEqurbq2p3VW2uqlOq6vlJXpLkg0luTHJuVe2qqlOTXJ7kNjdKAAAA5mWqM0Kd5cvg7k5yb5JfTfKq7v6D7l5KsivJFbN9z0qye6K5AACAAU1y++xZ7DzvEfbfnGTHFLMAwFHbX3PTokcgyZ1vumjRIwADWuR7hAAAABZCCAEAAMMRQgAAwHCEEAAAMBwhBAAADEcIAQAAwxFCAADAcIQQAAAwHCEEAAAMRwgBAADDEUIAAMBwhBAAADAcIQQAAAxHCAEAAMMRQgAAwHCEEAAAMBwhBAAADEcIAQAAwxFCAADAcIQQAAAwHCEEAAAMRwgBAADDEUIAAMBwhBAAADAcIQQAAAxHCAEAAMMRQgAAwHCEEAAAMBwhBAAADEcIAQAAwxFCAADAcIQQAAAwHCEEAAAMRwgBAADDEUIAAMBwhBAAADAcIQQAAAxHCAEAAMMRQgAAwHCEEAAAMBwhBAAADEcIAQAAwxFCAADAcIQQAAAwHCEEAAAMRwgBAADDEUIAAMBwhBAAADAcIQQAAAxHCAEAAMMRQgAAwHCEEAAAMJxJQqiqvqWqrq6qu6rqvqr6ZFX98Ir9F1bV/qo6UlW3VNVZU8wFAACMaaozQpuSfC7J85L8gySXJXlvVW2vqq1JbpitnZFkb5LrJpoLAAAY0KYpnqS7DyfZs2LpfVX1mSTPTPJtSfZ19/VJUlV7khyoqh3dvX+K+QAAgLEs5D1CVXVmkqcl2ZfknCS3Ht03i6Y7ZusAAADrbvIQqqpHJ3lPkmtmZ3w2Jzm46rCDSU4/xs9eUlV7q2rv0tLS/IcFAAA2pElDqKoeleTdSb6a5NLZ8qEkW1YduiXJfat/vruv6u6d3b1z27Ztc50VAADYuCYLoaqqJFcnOTPJru7+m9mufUnOW3HcaUnOnq0DAACsuynPCP1WkmckeWF3379i/cYk51bVrqo6NcnlSW5zowQAAGBepvocobOSvDzJ+Um+WFWHZl8v7e6lJLuSXJHk3iTPSrJ7irkAAIAxTXX77LuS1CPsvznJjilmAQAAWMjtswEAABZJCAEAAMMRQgAAwHCEEAAAMBwhBAAADEcIAQAAwxFCAADAcIQQAAAwHCEEAAAMRwgBAADDEUIAAMBwhBAAADAcIQQAAAxHCAEAAMMRQgAAwHCEEAAAMBwhBAAADEcIAQAAwxFCAADAcIQQAAAwHCEEAAAMRwgBAADDEUIAAMBwhBAAADAcIQQAAAxHCAEAAMMRQgAAwHCEEAAAMBwhBAAADEcIAQAAwxFCAADAcIQQAAAwHCEEAAAMRwgBAADDEUIAAMBwhBAAADAcIQQAAAxn06IHAACYt+2vuWnRI5DkzjddtOgR4G85IwQAAAxHCAEAAMMRQgAAwHCEEAAAMBwhBAAADEcIAQAAwxFCAADAcIQQAAAwHCEEAAAMRwgBAADDEUIAAMBwhBAAADAcIQQAAAxHCAEAAMMRQgAAwHAmC6GqurSq9lbVg1X1O6v2XVhV+6vqSFXdUlVnTTUXAAAwninPCH0hyRuSvHPlYlVtTXJDksuSnJFkb5LrJpwLAAAYzKapnqi7b0iSqtqZ5Ekrdr0oyb7uvn62f0+SA1W1o7v3TzUfAAAwjhPhPULnJLn16EZ3H05yx2wdAABg3Z0IIbQ5ycFVaweTnL76wKq6ZPY+o71LS0uTDAcAAGw8J0IIHUqyZdXaliT3rT6wu6/q7p3dvXPbtm2TDAcAAGw8J0II7Uty3tGNqjotydmzdQAAgHU35e2zN1XVqUlOSXJKVZ1aVZuS3Jjk3KraNdt/eZLb3CgBAACYlynPCL02yf1JXpPk4tn3r+3upSS7klyR5N4kz0qye8K5AACAwUx5++w9SfY8zL6bk+yYahYAAGBsJ8J7hAAAACYlhAAAgOEIIQAAYDhCCAAAGI4QAgAAhiOEAACA4QghAABgOEIIAAAYjhACAACGI4QAAIDhCCEAAGA4QggAABiOEAIAAIYjhAAAgOEIIQAAYDhCCAAAGI4QAgAAhiOEAACA4QghAABgOEIIAAAYjhACAACGI4QAAIDhCCEAAGA4QggAABiOEAIAAIYjhAAAgOEIIQAAYDhCCAAAGI4QAgAAhiOEAACA4QghAABgOEIIAAAYjhACAACGI4QAAIDhCCEAAGA4QggAABiOEAIAAIYjhAAAgOEIIQAAYDhCCAAAGI4QAgAAhiOEAACA4QghAABgOEIIAAAYjhACAACGI4QAAIDhCCEAAGA4QggAABiOEAIAAIYjhAAAgOEIIQAAYDibFj0AAACsh+2vuWnRI5DkzjddtOgR1uSEOSNUVWdU1Y1Vdbiq7qqqf7nomQAAgI3pRDoj9LYkX01yZpLzk9xUVbd2977FjgUAAGw0J8QZoao6LcmuJJd196Hu/nCS/5rkXy12MgAAYCM6IUIoydOSPNTdt69YuzXJOQuaBwAA2MCquxc9Q6rqOUmu7+7Hr1j7mSQv7e4LVqxdkuSS2ebTk/zFlHMOYGuSA4segrnzOo/Daz0Gr/M4vNZj8Dqvv7O6e9vqxRPlPUKHkmxZtbYlyX0rF7r7qiRXTTXUaKpqb3fvXPQczJfXeRxe6zF4ncfhtR6D13k6J8qlcbcn2VRVT12xdl4SN0oAAADW3QkRQt19OMkNSV5XVadV1T9L8qNJ3r3YyQAAgI3ohAihmVcmeUySLyX5vSSvcOvsybnscAxe53F4rcfgdR6H13oMXueJnBA3SwAAAJjSiXRGCAAAYBJCCAAAGI4QGlxVXVpVe6vqwar6nUXPw3xU1bdU1dVVdVdV3VdVn6yqH170XMxHVV1bVfdU1V9X1e1V9dOLnon5qaqnVtUDVXXtomdhPqrqQ7PX+NDsy+coblBVtbuq/ryqDlfVHbPP2mROhBBfSPKGJO9c9CDM1aYkn0vyvCT/IMllSd5bVdsXOBPz88Yk27t7S5IfSfKGqnrmgmdift6W5OOLHoK5u7S7N8++nr7oYVh/VfUDSd6c5CeTnJ7kuUk+vdChNjghNLjuvqG7fz/Jlxc9C/PT3Ye7e09339ndX+vu9yX5TBL/cbwBdfe+7n7w6Obs6+wFjsScVNXuJF9J8oFFzwL8vf1Kktd190dnv6s/392fX/RQG5kQggFV1ZlJnhYfWrxhVdXbq+pIkv1J7knyRwseiXVWVVuSvC7JLyx6Fibxxqo6UFUfqaoLFj0M66uqTkmyM8m2qvpUVd1dVVdW1WMWPdtGJoRgMFX16CTvSXJNd+9f9DzMR3e/MsuXVjwnyx9Y/eAj/wQnodcnubq7P7foQZi7X0rylCRPzPJnzPxhVTnLu7GcmeTRSV6c5X9vn5/ke5K8dpFDbXRCCAZSVY9K8u4kX01y6YLHYc66+6Hu/nCSJyV5xaLnYf1U1flJvj/Jry96Fuavuz/W3fd194PdfU2SjyR5waLnYl3dP/vzrd19T3cfSPKWeJ3natOiBwCmUVWV5Oos/63TC7r7bxY8EtPZFO8R2mguSLI9yWeX/6+dzUlOqarv7u7vXeBcTKOT1KKHYP10971VdXeWX1sm4ozQ4KpqU1WdmuSULP8SPbWqBPLG9FtJnpHkhd19//EO5uRUVd8+u/3q5qo6paqen+QlST646NlYV1dlOW7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\n", 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\n", 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\n", 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\n", 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xrBAnMMznLSl4LlagbMXyv4F/AooTcS7rjCsvdF3Df78jdI33x2pca/Ud2vaHGDNLSzAsSGcIBaJvpe/1+gptfyh0fjkRjo26rw3OqR/44Irr+8/AVzfbzwZ9HAz9bcUQ9jeBzO3cM+Ap4EdA9mavTQw+I+v1vdE9jef3Zr1xrbkt3uOK5bmwA5+zetk5S9IHoJdN3CxjZqFatXwEKMaIv5nHiL+5Drx71bEFGPE4DmAIeHsqnssa+31l1bq4ncsG1/gihsthPvSw/slYjmu9a4IRM/ZkqO9x4DOAZat9b3T9gc8BT69xbNR9bXBO92HMUJ0DpjHSZ5Rstp8N+vhkqH078D1g33buGVAdat8dajO8vCOa9rbzGYmi743uaVy+N+uNa6Mxx/v7HONz2XHPWb3snCU8XV2j0Wg0Go1GkwR0zJhGo9FoNBpNEtFiTKPRaDQajSaJaDGm0Wg0Go1Gk0S0GNNoNBqNRqNJIlqMaTQajUaj0SQRXZtyB1OUl6dqdu+OuC0YCLBgt+MPBinOz9+wrbGpKfJzc7FkZkY/gEAA0tPBat14322yuLiIx+OhuLg47n1tBofDgdPpXHdcfr+fiYkJ0tPTKS0txcgpuQmUAofD+H/a7d9PHo+HRaczqvu7XXw+H3NLS5QUFMS1n/HpacqKiuLaRzAQYHJuLu79gJE6KHxOy/c9EDDuo822pTZ9Ph/j4+NkZGRQWlq6bt9jY2OUlpaSnp6+pb7iQXhcRUVFZGRkxLczu934Ny16u4PL7WZ+aYnyKJ81tyYnybHZyFnnfl7u7JxWSqXWw0uTUmgxtoOp2b2bS08/fdf6mZkZ/vof/5Fv/+hH/NOf/ilVZWUbtvXcxYv8+sc/znc++9moH0IATEzA4cNQXr6ZoUeNUoqzZ8/yvve9jy9/+cscO3YsLv1shdHRUZ544gkefvhhfvVXf3XN/ZRSDAwM8PGPf5znnnuOD33oQ7zjHe+IvqOeHujvhxX3xel08vff+ha9ExP8+W//9nZOIyr+68wZPvbVr/LDp56Kaz/Nb35zxM90LFlYWOD173sf//rnfx53IauU4m2PP87bf+ZneMPp07c3TE7CgQNQWRl1W3Nzc3zuc5/jC1/4Au9+97v54Ac/SHZ29rrHPPHEE9jtdj7zmc9s9RTiwte+9jU+8YlP8Oyzz254Dlumv9/47mzieTY8Ps5r3/Me/vGP/5iTR45Edcz17m7e/vu/z3ve/GZ+9Wd/NuI+cvToYNSD0Lwi0W7KewilFMMjI/znmTO8eOMGzzz1VFRCDODhBx7gw+9+Nz/9W7+F2+2OvtP8fOjsBL9/i6Nen56eHj784Q/z+OOPp5QQ8/v9PPPMM/T09PDOd75z3X1FhL179/K5z32O73znOzgcDl588UXm5uY27mh+Hm7cgMLCO1ZPTEzwg5de4hcffXSNA2NLx+AghxoaEtJXvLHabNSWl3P9xo249yUivON1r+ML//Ivd24oKID2dnA61z1eKcXU1BTnzp2jt7eX+++/nx/96Ed87GMfi0rEPP7448uf01TibW97G4899hiPPfYYccl16XZDb6/xfIoSh8PBG9//fv7oPe+JWogBHNi/n2c+9zm+/N3v8n/PnYvqGBHJFJHPi8igiCyJyMsi8voV278iImMisigiPSLya6uOLxCRfxYRR6iNt6/a/noR+YGIrFXjV5NiaMvYPUIwGKS3txelFG99wxt42xvfuGl32Ftf/3r2lJTQ09NDa2sradGY9jMyYGEBRkehunqLo4/M2NgYs7Oz/Omf/ilHjx6Nadvb5caNGwSDQT71qU9Fd50wXswNDQ00NDQwOztLT08PgUCAuro6SkpK7r5fwSBcvw45OXe4WZRSTExNYTabOdLYGMvTiojP52NidvaeEWNmk4m63bu5MTzMjz3wQNz7+/GHHuIz3/gGgUDgtrvQZAKzGTo64P77YdW9DwaDjI2N0d/fj9VqpbW1ldzc1TWoNyYvL48PfvCDXLx4kYYUun8iwhNPPMEXv/hF5ubmKIi1+3tgwLimpuhecT6/n+7ubj73e7/HAwcObLq74oICvv/UU3R3dTEwMEB1dfVGz18TMAw8jJGp/1HgGyJyQCk1gFHS6l1KKY+INALPisjLSqnLoeM/i1HEvBSjksW/ichVpVS4DuZrgZ8D/mzTJ6NJCjoD/w7maHOzuvT00/h8Pjo6OigoKKCysnLzMUmrGBkZYWFhgebm5uja8vthcREeftgQZzFgfn6eK1eucOLECcxmc0zajBUul4sLFy5w+vTpqIXYWiwtLdHX18f8/Dx79+6loqICU/gFMjoK165BSckdx8zPzzM+Pk5jAoQYwNz8PNPT0+yrq9v2Z2sjnvj0p/njD3wgrn0AXLt+nfp9+8jKyop7XwBXrlxhf2MjWRbLnRsmJ+FVr1q2fPp8PoaGhhgaGqKkpITa2tptj9Hn83H27FlOnjyZct8lp9PJhQsXePDBB7HGKvbU4YDnn4eioqhixfx+P21tbVRUVGw7JlUpRV9fH16vl/379y+Lbzl69LJSat1flCJyDfgDpdQ3V63fj1E27LeUUt8QERtGia9WpVRPaJ+ngVGl1AdXHPNR4LtKqS9v66Q0CUG7KXc4TqeTK1eusLuigj179sTkZVlZWYnNZqOruzs6F4LJZFhxhoe33TeA2+3m5Zdf5ujRoyn38gBob2+nubl520IMICcnh/vuu4/jx4/jdrs5c+YM7e3tOBYWoLsb8vLuOmZiYmLdwO1Y47DbybbZ4i7EAN586lTc+wDIyc7GHp4UkQBKS0uZnJi4e0N2NnR1sbiwwNWrV3nhhRcAOHnyJC0tLTERi2azmb1799Lb27vttmKN1Wrl0KFDXLp0CX+sQh36+gyrYxTfz0AgQEdHB6VlZTGZHCQi7Nu3j7y8PK5dvx51yIeIlAINQPuKdU+KiBPoAsaAfw9tagACYSEW4irQEv5DKdWtlHqLFmI7By3GdjABv58XX3qJP/jKVxieno5p29XV1WRmZCy7PjckP9+IbdpMvFkEAoEAFy9e5MCBA/EL7N0GMzMzBAIBSlZZq7ZLZmYm+/fv5+GHHyYvL4+OH/yAjqtXmVpYIBgMLu8XCARYXFoiL4JIixcOhyN2VosUwWaz4QjPtEsARcXFTE1N3fFdCgQCjC0u0n7+PD1nz1JWVsbDDz9MXV1dzH+EVFdXMz09jSOBAjRaCgoKqK2t5fLly9uPH1tchJGRiD9iVhMMBuno7KSoqIjyKGNro2X37t3Mezw88pu/ydjk5Lr7iogZ+CrwJaVUV3i9Uuo9QA5wCvgW4AltygYWVjWzENpXs0PRYmwH43K7efxv/oZ3vP71MY8dCgedp6WlcaOvb+OHZHq68Ut0YGDLfSqlePnll6mqqqIoAWkHNotSivb2dlpaWjbeeYukpaVRUVzMA7t2UX3oEAsLC1x+6SX6+vqw2+3Mzs5SWFCQECtVGKfTiW2LaRhSFZvNhnOD4PlYYjaZsFqtLC4usri4SE9PDy+9/DJut5u6I0c4arNRujL9RYwREZqbm2lvb9945yRQWVlJbm4uHR0d22voxg3IyrorBm81wWCQzs5O8vLy2L1GeqDt8poHH+Sdb3gDj/7WbwFEjN8QkTTgaYz4r/eu3q6UCiilzgKVwG+EVtuB1QGEucBSjIauSQJajO1gXD4ff/n447ztda+LS/siQl1dHSoYpC8aQbZrFwwOgs+3pf66u7uxWCxUx3giQKwYGhqisLAw/ha7wUFQCtuuXezbt48jhw+Tm5vLzYEBuru7ASPHWCJQShEIBG7Hsd0jZGVlJVSMudxuJC2NtrY2RkZGKCoq4uj997O3pgbLrl3GrMqxsbiOoSgk9qampuLaz1ZpbGzE6XQyOLjFLBAOh5FqJ2d9A1FYiOXk5LBnE6lFtsKvvPGN/PUTTwDsWr1NDOX9eYwg/MeUUus9OE1AXej/PYBJROpXbD/EChenZuehxdgOpjg/nwdbW+Pah4hQX1+PUmpjC1l6upGgdAOzfCTCkwbiaXXaDj6fj/7+/vjPSHO7jfxIK9ws6enpFBcXs7+hAYvFQkZGBh0dHVy9epWxsTF8WxS/0Q3HTebqoPN7gLS0NESEQCAQtz7cbjcjIyO8fOUKPd3d7MrNxWw209jYSMFq62Z+vpETK47jAWhpaaGjo+MO13eqICIcPnyYoaEhprcSdnHrlvEMWscqtlKIVVVVbWO00XPMmJ0ZSQH/NdAE/IxSyhVeKSIlIvJWEckWkXQReQR4G/AMgFLKgeG2/EMRsYnICeCNGBY2zQ5FizHNhoSDUolGkOXkGAG0m4j9mJ2dpa+vjyNHjiTU/bYZenp6qK2tjf+EgvFx498IGdMnJycpLSujsrKSw4cP09DQgM/n4/r161y9epVbt25tLkdcFNgdDrLvMRdlGKvVitPl2njHTeByuRgOCbCuLiP8p7mpiUOHDrF7927yCwqYnZ29+8CMDPB4IMaxn6uxWq2UlJRs3foUZ0wmE0ePHuX69eubi2/z+40QiV13GaCWCQaDdHR0kJubmzAhthYiUg38N4y0FOMiYg8t7wAUhktyBGPW5P8G3q+U+tcVTbwHyAImga8Dv7EirYVmB3Jv+R40cSMsyG709dHb20t9fX1k4WSxGJax+fmoEi66XC6uXr3Kgw8+mJIzJwHsdjszMzM0NzfHt6NgEG7eXPOFMjU1dccYsrKyqKqqoqqqCpfbzfT0NF1dXQSDQQoKCpZdqtsRuA67/Z6LFwuTnZ2Nw24nZxtu52AwyOLiIrOzs8zOzpKZmUlhYSHNTU1kRigtVlZaytDQUOSYyOxswyoa55my9fX1nDlzhoqKiviXI9oCWVlZHD58mIsXL0af2mZ62hBka7jTA4EAHZ2d5O3axZ49e2I84s2jlBoE1vtiPrzB8bPAm2I6KE1S0WJMEzUiwr66Om7evElXdzf7Gxoip3fIzIShoQ3FmN/v5+LFixw6dCilZ+uFg/bjbrWbnTXclBGSezqdTkwmU8QXPECWxcKeykr2VFbi8/mYnZ1lZGRk2bKVl59Pfl4elk26HB0OR8rVA40VNpstuioIK1BK4Xa7mZubY25uDqfLRW5ODgUFBVRVVW0YW5ednY3L5cLn92Neva/VavyQWVyM+BmIFSaTiX379tHV1cXBgwfj1s92yMvLo6GhgUuXLvHggw9unEamv3/NWDG/309HRweFhYVUVFTEYbQazfbRYkyzKUSE2tpaBgcH6ezspKmp6e4HZW6uEYy8f79hKYuAUorLly+zd+/e2GffjiGTk5Okp6dTuKocUVwYGFiz6PrExETU6TTMZjOlpaWUlpailMJutzM3N0dPTw9er5fc3Fxyc3PZlZd3dxLSVbhcroQlRk00VquVkZGRdfdRSuFyuVhYWGB+YQG73Y7FYiEvL4/q6mpsm8y/JiKUlJQwPTVFeaR6rmazkZohzlbYyspKBgcHWVxc3FJm/0Swe/du7HY7bW1t64vGxUWjCkiE74fP76e9rY2ysjLKYpy+QqOJJVqMabZEdXU1IyMjtLW10dzcfKdFIPxymp2FNaaNh2M3UsFlsBbhGJNXvepV8e/M4YCpqYgvFKUU0zMzHNlCnIuIkJOTsxywHHarLS4ucqO3F7fHgzUri9zcXHJycsjOzl6+l4FAABGJSXLbVCQzMxOP13vHOp/fz1Lo+izZ7bjdbrIsFnbl5VFZUbFtty9ASUkJXV1dkcXYrl1G8uR9+2JWzSISIkJLSwvt7e0cO3YsZWM16+vreemll7h58yZ79+6NvNPkZMQYS6/XS1tbG3v27LlnrbuaewctxjRbprKyEpPJxPW2NlpbWu6M7bBajdlNEcTY0NAQTqcz5epNrmZgYICysrLEuFBv3Voz3mVhYYGc7OzbdQ23QVpaGnl5ectJY5VSOJ1OFpeWmJycpL+/n2AwiNVqxWw2k56ejsvtxpKZmbIv7K0QdjeiFP39/TidTlxuNyaTiezsbHJzcigtLcViscT8vMNtukJC7w7S0m7PSI5z2oX8/HwyMzOZmJhIWauRiHDfffdx/vx5bDZbZOvw6OhdLkqX2017Wxu1tbUpbXnXaMJoMabZFh7YZH4AACAASURBVGVlZZjNZq5du0ZLS8vtmCSr1Qiq9fkM10uI6elpBgYGeOihh1L65e71ehkcHORUIsrzKGXE2K3hLopn+SMRwWazYbPZlrOQB4NBnE4no6OjgFEU3eN2k5aWRlZW1vJisViWU22k4r1USuHxeHC53bjdbtwuF06nE7fbjVIKi8VipLhIS1uuAZmo8ygpLWVifJyampq7N2ZnG9axOIsxgObmZn70ox9RXFwcE7EfD9LT03nggQc4f/48WVlZ5KwUXg4HuFzGNQtht9vp7Opif0NDyrpgNZrVaDGm2TaFhYXLFrKmxkYjKaqIITIWFoyCvRjB4NevX+fYsWMpn0S0q6uL+vr6xIxzaQm83oiWsXD5o7jnN1tBWlrasruyqqpq2bIQCARwuVzLy8LCAm63G2/I1ZduMpGZkUFGRgZms5mMjAxMZjNmkwlTaEk3mUhPS9u061MptZyA1h8I4Pf7lxef14vX68Xn9+P1ePB6vcv5wzItFiyZmVhCL/GwtSvc/61bt5YtgYmkqKiIq1euUF1dfbcAzMoyLGMejzEZJo5YLBZ2797NzZs3jfQ1KUpmZiZHjhzh8uXLPPTQQ7dngc7O3pFXbG5+nr4bN2hpbk7pSUEazWpS+42o2THs2rWL5qYmOjs7qaurIz8/33iRjI9DURE+n4+LFy9y+PDhlA8ID8dUHTCSNcaf2dmIMS9g1MJMdPmjMA6Hg8oV1pn09HSys7PXrECwLIZ8vmWB5PZ47hBOAb+fQCCwZq46l8vFpUuXIm5LC4m4dJPpDoFnNpux2WyYzOZlMRitiLbZbExEKuAdZ8LlkZaWlta23szPxz3NBUBdXR1nzpyhsrJy07NtE0lubi5NTU1cvHiR48ePG4L61i0IpV6ZmJhgdHSUAwcOrDnrWKNJVbQY08QMm83GgQMH6OjowOPxUFZcDGNjBBsbuXTpEg0NDQktcL0VlFK0tbUlJpVFmJGR5RfKaiYmJ6ldK3A5zni83k3loTKHRNJ2spJdunQpobGEVpstacWzS0tLmZiYiCzGwjGXCRBj6enpNDQ00NnZyeHDh+Pe33YoLS3Fbrdz9epV7mtqQmZnUcXFDA8NsbCwwMGDB1Pe6q7RROLenCalSRqZmZkcOHCAqelpBoaHUX4/HRcuUFhYGLeCvLFkfHycrKwsw7KXCFwuw00ZwSLh9Xrxeb1JSbrq8/kwm0wpGQsWS8wmE/51LHXxJD8/n/n5+ciliaxWY3at35+QsZSXl+NyuZifn09If9uhtrYWEeHm1asElaKnpwe3201LS4sWYpodixZjmphjMplobWnB7/dzva2NwOIi9fX1Gx+YZAKBAN3d3TQ1NSWu07m5NWvpTU5OUhxlbrFYY3c4sMW7IHqKYLFYcCeo8PpK0tLSyM/Pj1weKS3NqFO5uJiQsYgIra2ttLW1JUWYbgYR4eDBg8zevMnVjg6sViv19fX3bAoWzSsD/enVxAURoaCgAK8I/qkpPEl42W2W/v5+KioqEhs3Mz5uBGxHYGpqitIkiTGH3X7P1qRcTbbNhsNuT0rfYVdlRDIyDOtYggjnmgvPok1lHA4HzMzgS0sjLz//nrfgau59tBjTxAWHw0F/fz8HH3iAurw8zp8/n9IuELfbzejoKLW1tYnrVCkjeD+CGHM4HJhMpqTVDnQ4HK+Y2Wi2JMaNZWdn43a78UVyR1osMDOT0PE0NjbS29uLP0Hu0a0wOTnJ5YsXaSwvp+XIEbq7unbEjz2NZj20GNPEHJ/PR2dnJ42NjWRkZ5NnNvOqw4e5evUqw8PDyR5eRDo6Oti/f39icy253UYetgh9Tk5Oxi23WDQ4nc6ULRA+OjlJ9qlTyNGj2J3ObbdntVqTJsZEhOLiYqYjWcAyM414wlCajkSQmZlJVVUVN27cSFif0aKUore3l97eXo7fdx/ZViu2nBxqa2vp6OxcTmei0exEtBjTxJRgMEh7ezs1NTW3UyCIYBPhxIkTjI+Pc/369chBy0libm7OmP2Z6CzkawiJcPmjhNTDXKP/QCCQssHQv/MXf0F2DK12VqsVZwxE3VYpKSlhPJKrMpyrL8Fj27t3L+Pj40m9Jqvx+/1cvnwZt9vN8ePHyVwhvAoKCigpLqanpyfl4900mrXQYkwTM8K/XAuLiigKJXoFjJdKyO129OhRLBYL58+fN8rRJBmlFO3t7YlNZRFmaSmiVWw+huWPtoLb4yEzRfNNnXn5Zf7j/Hn+5y/8QszaTEtLQ0SSZlmxWCwIRgmfu0iCGEtLS6O5uZmOjo6E9rsWdrudF154gZKSEg4cOGAE6i8s3JEkuaKiApPZzODgYBJHqtFsHS3GNDFjZGQEgMqKijs3mM3Ls8JEhPr6eurr6zl//jzT09OJHuYdjI6Okpubm5yyKbOzEVNaTE5MUJrEWoH2FA3eDwQC/PdPfpIP/dqvURTjfHVWqxWnyxXTNjdDaVkZE+Pjd2/IyDBm3CaYkpIS/H4/MwmOWVvNrVu3uHTpEocOHaKqqur2hsXFu6oT1NXWsri4yFQCJz1oNLFCizFNTJienmZmZob6+vq7LUwmk5FPawUlJSUcO3aMrq4uent7k+Je8Pv99Pb20tjYmPC+l4P3V4mxcPmjvF27Ej+mEA67PSXjxZ765jdxezz85lveEvO2bUmcUQlGeaTp6em7vwcWi/E5SQKtra20t7cn5bsZDAZpa2tjeHiYEydO3J0s2um8q3xYWloaTc3NDA0NsZiglCAaTazQYkyzbex2OwMDA7S0tETO9RNBjAFkZWXx0EMP4fF4uHDhQsJnRN24cYPq6urkzFj0+YyEnqtckcksfxQmFYP3Z+bn+V9PPcWnPvABzHGIZUvmjEowks/abDaWlpbu3BAO4k+CIMrOzqawsJChoaGE9ut0Ojl37hyZmZm86lWvwmw2372TyxWxlqvZZKK5uZnuUCJYjWanoMWYZlt4vV66urpoamqK/NAE46G5xoMxLS2N1tZWampqOHfuXMLclk6nk4mJCWpqahLS3134fBFXT0xMJHUWJRjXJtXqh/7ek0/yYGsrj548GZf2ky3GwLAW35VzLBzEn6RUEw0NDfT39+Nb4/Maa27dusWLL75Ic3NzZCs7GLNLAwEjMW4EsrKyqN+3j87OzpRO0aHRrESLMc2WCQQCtHd0UFtbu74lJT0dvF5YZwZlWVkZx44do7u7m66urrjPtmxvb6epqSl5Wbu93girvPh8vqRapQKBACKSUtnM2/v6+MK3v82H3/1u5peWmF9awhkS9wt2e+TA902SmZmJJ8I9SST5+fnMLyxE/uwnSAytxmw2U1tbS09PT1z78fv9XL16ldHRUU6cOEFBQcHaO0dxn/Ly8igrL6e7u1vPsNTsCFLniavZUahQTbiS4uL1H5wr2eCFEnZbigjnzp2Lm6VienqaYDBISZKy2wMRr0Uyyx+FcbpcWFPMRdk7PIzP7+f4r/wK+a95DfmveQ2/+YlPAFD56KP8909+ctt9iAgmkylhFqBIpKWlkZ+Xx0ykGLEkjquqqoqZmRnscYqpm5+f5+zZs+zatYujR4+ubWEPE+W1KC8rw2KxMDAwsP1BajRxJjUTCWlSnqGhIUwmExWrZ06uh9d71wyo1YgI+/fvp7i4mIsXL7J3716qqqpiFkOllKKjo4MjR47EpL0t4/XeVZNycnKS1tbWJA3IIBXLIJ287z7+66mn7lj3H+fP84kvfYl//4u/oHYzn8F1yLbZsDsc5Md4puZmKC0rY2hwkOKVqWEgqWJMRGhpaaG9vZ0HH3wwZu2GU+FMTExw//33k5OTE92Bm7gWtbW1tLe3Mz4+nvg8ghrNJtBiTLNppqamWFhY2Lxw2ITrsaCggJMnT9LW1sbExASHDh0icwMhFw2Dg4MUFhbeTkibLFbNBnM4HJjN5qSVP1o5jvz8/KSOYTVFeXm8+ujRO9YNjI0BcOrw4ZglgA3PqEymGMu22ZbLIy1PVBBJqhgDKCws5ObNm0xOTsbEouxwOLhy5QoFBQWcOHFic27xTeSDExEaGxu5du0aWVlZ7EriLGWNZj20m1KzKZaWlhgaGqKpuXnzcUWbjN0wmUzcd999VFVVce7cuW0XMPb5fNy8eZOGhoZttRMTVs0GS4XAfXhl1aRcjc1mS3rW+XB5pKnJydsr09MhyZMLAJqbm+ns7NxWPKdSiv7+fi5evEhTU1NC4jZNoRmWvb29MYkv1GjigRZjmqhxu910dXfT3Ny8+fQC4VlhW6CsrIwTJ04wMTHBxYsXt5wCo7u7m9ra2o1jUhKBz7c8G0wpxczsbNLKH63E4/XGxAK5FabmTLQPFDM1t/Fn650/8zOoS5diWxYpBWZUgjGrcnKlGEtLS9psypVYrVZKS0u3HIPldDo5f/48TqeTU6dORR9rupotPEcsFgsNDQ10tLdHLsqu0SQZLcY0UeH3++ns7KR+376tpT1Qalu5kjIyMjhy5AiVlZWcO3eOkZGRTc2SstvtzM7O3pnFO5kEg8sxY/MLC+Tm5CSt/FEYn8+HyWRKSo6zr/9HPtU/fYDf/POfovqnD/D1/0y8q9RsMuEPBJI++85isSAit604Ipty8ceTffv2MTg4iHcTM0+VUvT19fHiiy+yf/9+Wltbt/dZV+queMtoyM3NZc+ePXR1dib9Hms0q9FiTLMhSim6u7spKy+/OxN2tIhs6QG6mvLyck6ePMn09DQXLlyI2q3U1tZGa2trUpOp3sGKF8rE+DglKeCitDscSQnen5oz8a6P1uDypOFwZ+LypPGuP6yJykIWaywWC+4EJx+ORElp6e3ySNuwKscak8lEfX09XV1dUe2/uLjI2bNn8Xg8nDp1KjbW321cj5KSErJzcujr69v+ODSaGKLFmGZDBgYGsFgslG93NlKMhJDZbOa+++5j3759vPjii/T19a0bxzIxMYHZbN66WyQehF4mgUCAJbs9qeWPwiSrDNLArQwyzHfeP7MpyMCtxE9myE5yWaQwxavLI6WIZQyMotyLi4vrlhzy+/10dHRw9epVDh48SHNzc+wsv9t8jtRUV+P1ehkLTQLRaFIBLcY06zI+Po7d4aC2tnZ7DW3RtbAeRUVFnDp1Cp/Px9mzZ5mNkJ8pGAzS2dlJc3NzTPveNqFrMTMzQ1FhYUpY7BwOR1LEWM1uL17fnY8inz+Nmt2JT8KaCpn4wbBA2Wy224InhZLwigitra20tbVFdPeNj49z9uxZLBYLJ06cSLkZjOH0OePj48wloQi7RhOJ1PmGa1KOhYUFbt26RVNjY2zEQhxiotLT02lsbOTIkSN0d3dz5cqVO+JZbt68SXl5ecqV9yEtDZRiYmIiuclnV+B0OpOS8LU438/nPzRAVmYQm8VDVmaQz39ogOL8xAdaW63WlBBjAKWlpUYgv1IpJcbAyHCflZXFeNiVCrhcLl588UVGRkY4duwYtbW18ZkpGYPapOnp6TQ3N3Ojry/pM2g1GtBiTLMGLrebnt5empqbMcWqMHMcZzFmZ2dz7NgxiouLeeGFF+jv78flcjE0NERdXV3c+t0yIng9Hvx+f0oU5VZK4Q8E4lKEOxre9sgcg9+9zmff/28Mfvc6b3skORYLq9WKK0JR+2SQl5fH/Pw8wUAg5lblWNDU1ER3dzder5fu7m4uXLhATU0NR48exWKxxK/jGD1HMjMzaWxspKOjI6mVFzQa0GJMEwGf309HezsN9fVkxfKhGueUEiJCRUUFp06dwuPx8Oyzz1JWVhY7MRlLMjKYnJiguLg42SMBwO3xxPcFGgXF+X5aaqaSYhELE7bkxLs2ajSkpaWRn5/P7MwMJDkZcCQyMzPJycnhmWeewWQycfr06cRYeWP4HMnJzqa6poaOjo6UuOeaVy5ajGnuQClFV1cXlZWVsYv18PuNl0mCXC0mk4ndu3djs9lYWlrixRdfjFtdvS2TlcVsCrko7SlYBilZWK1WHCniuiotK2N6bAxSzM0+NzfHuXPnEBEyMjKoqKhIXHH5GP+oKy4qIj8/nxs3buiUF5qkkYImA00y6evrIzs7O7bZ4P1+SKDVRSlFW1sbBw8eJC8vj5mZGV5++WV27drF/v37k5bUdCX2YBBzWlrSyx+FSdZMylQkXBYpJ9klszAsN16fD69SpMInxel00tnZidfrpbW1lV27djE2NpbYeq/p6UbcWCAQszjUPXv20NXdzejoKJWVlTFpU6PZDNoypllmbGwMr9dLTXV1bBv2+xP6y35sbAybzbacE62wsJCTJ09SUFDAuXPn6OnpwZ/kLNyjU1MUrS4GnUScTqcWYyFSZUZlmIKCAsamp5M6Bq/XS3t7OxcvXmTPnj0cP3582XJeVlaGx+NJ7MzErKyYViUQERrq65menmZmZiZm7Wo00aLFmAaAufl5xsfH2b9/f+zTLCRQjAUCAbq7u2lsbLxjvYhQWVnJ6dOnSU9P58yZM/T39yclTkQpxeTcHAUpVJDb6XSm3ozTJJEKNSpXUlxczOjK8kgJxO/3093dzQsvvEBOTk7EuDARoaWlhfb29sS5+WIsxuD2DMubN2+mXliD5p5HizENTqeTGzduxDYx40p8Pthq5v5N0tfXx549e9YMRk9PT6euro6TJ0/i8/l47rnnGBoaSqgom5mZYVdREekpkq4gEAggIomL+UlxMjMzUyILf5jMjAwkIyOh1rpAIEBfXx9nzpzBbDZz+vRpqqqq1vyhlpubS25uLqOjo4kZYF4exOEeZWRk0NjYSFdX16ZKPmk020U/fV/h+Hw+Ojo6aIx3LFUMCzqvhcvl4tatW1ElqDWbzezfv5+HHnoIu93O888/nzBRNjw8zO5Yu4K3gdPlwpqA+7NTEBFMJlNqFJQOJUuurKlhZGQk7t2FRdjzzz9PMBjk1KlT1NbWRvUjrbGxkd7e3sSEAOTmGjFjcSA7O5u9e/fS0dFBIE59aDSr0WLsFUwwGKSjo4PqmhpycnLi21kCXvYdHR00NjZuysKTmZlJc3Mzx48fT4goCwQCzM/PU1hebswwTYEXvg7evxub1ZoSZZHweGDXLsp372ZsbCxubkC/33+XCKuvr99UWpiMjAyqq6vp7e2NyxjvIM7Pk8LCQgqLiujp7dUzLDUJQYuxVzA3btwgPz+f4ngGkns8kJ0dk6zZ6zE7O4vX693yLNCVoszhcPDcc8/R398f81/GY2NjlJWVGe6e/Hxwu2Pa/lZwOBxkp8DMwVQiOzs7NYL43W4oKMBkMpGTkxPzIHmfz0d3dzdnzpwhGAxy8uTJTYuwldTU1DA5ORn/mLusLCNVThwt2ZUVFaSnpTE8PBy3PjSaMFqMvUIZGRkhEAyyZ8+e+HYUepnEE6UU7e3ttLS0bHvyQWZmJk1NTZw8eZJAIMDzzz9PT09PzOJHRkZGbk+dLyxMGTGm3ZR3kjIzKr3e5XjLPXv2xEwYuFwu2tvbeeGFF8jIyOD06dPU19dj3mYOr7S0NJqbm2lvb4/JONdExLgucfz+iAj79u1jbm6OqSTPZtXc+2gxliRE5L0icklEPCLyxVXbnhURt4jYQ0t3LPuenZ1lenqahvr6+Beo9nrjLsZGRkbIy8sjNzc3Zm2azWbq6+s5ffo0GRkZnDt3jmvXrm3rBe3xePD5fLddwtnZRkxQkvF4vSmRey2VsKaKGINll1xxcTGzs7PbcqEvLCxw+fJlLl68yK5duzh9+jR79+6N6cSd4uJigsEg0/EWMEVFcf8xExaXgwMDLKWC21pzz6KTviaPW8DHgEeASDkF3quU+rtYd2q32+nv7+fgwYPxmTm5GqXiGt/h9/u5ceMGJ06ciEv76enp1NTUUF1dzfj4OFeuXMFsNlNbW0thYeGmxOzIyAgVFRW3V1itSRdjPp8Pk8kUf1G+wzCbTPgDAZRSybs2ShlJTUPfHxGhpKSEiYkJysvLN9GMUZC+v79/eTbxZj+7m6WlpYWXXnqJU6dOxa+fOAbxr8RsNhvWvo4ODh44oH+4aOKCFmNJQin1LQAROQokJOWz1+ulq6uLxsbGxGR+D5dBiuPkgJ6eHmpqauJ+PiJCeXk55eXlzM/P09/fT3t7O9XV1VRWVkYVYzM6OsqDDz54e4XFApmZxnVKUv1Mu8OhyyCtgSWU4iKm9Vk3g8djCI4VE1IqKyvp7u6OSox5vV6GhoYYHh6mqKiIAwcOxH+iTojs7GwKCwsZHBykpqYmPp2Ey7WFZpzGE6vVyr66Ojo6OhL3Q1bzikK7KVOXj4vItIi8ICKv3m5jgUCAjo4O9u7dm7hgbbsdysvj9qB0OBxMTU3F72G/Bnl5eRw5coRjx47h9Xo5c+YM165dY3Fxcc1jlpaWyMzMvPtXdUFBUuPG9EzKtQmXRUoaLpcRV7iCXbt24XK51oxhVEoxOzvLSy+9xLlz50hLS+PkyZMJFWJhGhoauHnzJj6fLz4dmM3G9UlQgt78/HxKS0vp7u7WMyw1MUeLsdTkd4FaoAL4G+A7IlK3eqdoHwhKKXp7eyksKqJw1cM9rni9EMsal6tob2+nubk5aW6kzMxMGhoaePWrX01JSQmdnZ2cOXOGoaGhu3ItDQ8PR54sUVZmvHSThC6DtDZJD+L3+Yy4qFVUVFRw69atO9Z5vV76+/t5/vnnuXnzJlVVVTz88MPU1tZuOyh/q4Td+d3dMQ15vZOKioR+f3bv3k1GRgaDg4NRHxM3Maq5p9BiLAVRSl1QSi0ppTxKqS8BLwCPrt7v1uQk3z97dsP2hoeHSUtLo3JlvFK8CQYN90rYlRBjwsHBxcXFcWl/M4gIZWVlPPjggxw9ehSXy8WZM2d4+eWXmZmZIRgMMjExETntRl5eUuPGHA4HVi3GIpJUMRYMGvFiESalVFRUMDIyYpTVmpzk0qVLnD9/HqUUx48f5/7776eoqCgl4gCrqqqYnZ1laWkpPh3k5cU1vUUk6urqWFpaYnKDElVKKQYGBvjOD38IkPwHlSal0WJsZ6CAu56shfn5vP/Tn+br3/3umlayqelp5ubm2LdvX2Ifzk4nFBfHJRZqZSqLVCMrK4v9+/fz6le/mj179jA4OMgzzzyDiOCO5I60WAzBmgRXpVKKQCCAOUnxaqmO1WpNXo1Kh8OwmkaITfL5fDidTp555hnGx8fZt28fp0+fpq6uLjGxoJtARGhtbY1fqgur1YhJTWD5KhGhsamJ4eHhNUMTgsGgkb/tyhU+9vTTAGvHMGg06AD+pCEiJozrnw6ki4gF8APZwIPAc6G/fx44Dbx/dRuWjAy+81d/xaPvex9FOTn8+KlTd2SfX7LbGRwY4NChQ4mvO+hywf79cWl6cHCQ4uLilHaviQhFRUUUFRVx+fJlrFYr165dw+/3s3v3bioqKm7Xz6yshM5OQ5glELfHQ2aig9ODQWPCwsolGDSsg8Eg5rk5mJw04gxFDDFiMt25JOhHRVpaGiJCMBhMzvdnRZC+0+lkZGSEsbExsrKyKCsrw2Qy0dzcnNhxbYGCggLMZvPa1uHtUlEBvb3GZJgEYTaZaG5poa2tjQOtrXfUwvX5/XR2dLDk9fLkv/4r3/vMZyh75JHUKXaqSUm0GEsevw98eMXfvwD8AfBZjJQXjUAA6ALepJSKGHhRXlzMhS9/mYmJCa5fv05zSwtmkwmPx0NXVxctzc2JjxkJBo0XZhzyi3m9Xm7evMmpU6di3nY88Pv9LC4ucuTIEUQEj8fD6Ogoly5duj1DMyeHrAS7WsAI3o/bTEq/37D2ud2wsGBM5vB6jTiotRDBcuvW+vnXRIzA7cxMwyKSk2OIWIslohVpu1itVhxOJzmJrFAQmh3oMJm41dvL2NgYJpOJyspKHnroIcxmM36/n7Nnz9LU1JQS7siNaG5u5sKFCxQXF8de2BYXQ1dXbNuMgiyLhfp9+5ZnWJpMJtxuNx0dHVRWVnKwpITn/uZvyEhSzJ5mZ6HFWJJQSn0E+Mgamx/YTFsZZjN7KiuxWCxcvXJluWDvvrq65GRWX1w0rD1xcJl0d3dTV1e35XItiWZ8fPx2+SOMoP/a2lpqa2txuVyMjY3xUnc3Ob295NvtFJaVJeyeORyO2FkX3W5DcC0sGPd/ZVC12WwsWVmG0FqHQHb2csb5tXcKGGJvchJWBrJbrYbLNzfX6CcGlpLwjMpEiDGlFHaHg9nhYWbsdrx5eZSXl3Ps2LG73I8ryyMVxDmpcizIysqivLycmzdvUld311yk7ZGdbcyqdDggwdbyvLw8du/eTVdXF1VVVXT39FC/bx95oc+wFmKaaNkZbzRNVBQXFWHJzOTKlSuUlZWRn5+fnIF4vYYYizFLS0vMz8/T2toa87bjxcjIyJrjzcrKWhZm7sJCFi5doq+/H4/bTX5+PoWFheTm5sbNReZwOLY+uzYYNOIC5+cNUeRyGVarjAxjiednLz3dWFaKLaUMq9vUFIyNGX/bbMZs3txcQ6htwYJks9mYn5+P4eDvJBAIsLCwwMzMDPMLC9isVopF2P3oo5irqtY9NlweaSeIMTAC38+cOUNlZWXsE6fu3QuXLiVcjAGUlZUxNT1NW1sbhw8fJisrUg5vjWZ9tBi7x5iZmaGoqIilpSXGxsY2lak7JrhcxssvxrMolVK0tbXFpP5konC73fh8vqjyullqarDcvElpSQn+QID5+XkmJibovXGDLIuFwsJC8vPz74hN2S5Op3NzVjilYGkJpqeNxeczRFFWVtxLXm3ISiEYxuOBgQFDOGZmGmkiioqMF3aUnyGbzXZXGontoJTC5XIxOzvL3NwcHo+HXXl5FBYWUldXR5pShsDdvXvDtoqLi2lvb09OTNsWMJlMNDQ00NXVxaFDh2LbeEGBce8TnEBZKWWkuVCKnJwc5hcWtBjTbAktxu4hJicnWVpaorW1dXk2j93hoK62NnEP66UlOHw45s1OTEyQ1NKIFQAAIABJREFUkZGxY6wAYGTcr4g2nUhWlhGwvbCAKSdnOfhfKYXT6WR2bo7u7m58Ph+5ubnk5+eTl5e35XjAYDCIiET3ufD5YHYWRkYMd6TZbFiaUj0LeWbmbeuZ3w8TEzA6aoixykrDHbrBizszlIV/O7jdbubn55mfn2fJbsdisVCQn8++ffvufnHPzkJ1dVSCYqvlkZLJ7t27GRgYYGFhgV2x/MGWnm5Yx27cuCtRbrzw+/309PSQkZFBa2srgUCAa9eukWWxLLsp10JEMoEngZ8ACoAbwBNKqe+tt23F8QXA54HXAtPA/6eU+tqK7a8H/gfQppT6QAxPWxMntBi7R1hcXGR4eJiDhw4hIqSnp9PU1MTQ0BDXr1+nqakp/tPe/X7joRghUeV2CAaDdHV13VlKaAdwV/mjjaiuhgsX7igfJSLYbDZsNht7KisJBAIshty1I6OjBAMBcnNz2bVrF7m5uVFbzhzRWMXsdsMFOTFx2+23g8TwHZhMt3N2eTzQ3W18VsvKDFfmGtYMEcFkMuHz+6NKAaKUMsTXwgKLCwssLS1hNpvJC8V/NeTkrC+A/X5jdmCU7Nmzh66urh0jxkSEltAsxIceeii2Vu7ycuO+JqA8ksvlorOzk/LduykvKwNYnt16va2N1paWjSxkJmAYeBgYwsgj+Q0ROQBMrbVNKTUQOv6zgBcoBe4D/k1EriqlwjlEXgv8HPBnMTtpTVzRYuwewO12093TQ2toJmUYEaG6uprs7GyuXbvG/v3741sSZWHB+HUaYzdBf38/5eXlO8r8v7i4GLn80Xrk5xuiwONZM/g8PT2d/Lw88kO/vP1+P0t2Owvz84yNjeH1+bBZreTk5pKbk0N2dnbEOnrrlkFaXITBQeN+ZmTcVR9xxxO2mAUCMD5uWMvy86GqKuIEA5vVisNuj2jtCF//pcVFFhcXcbndWCwWduXmUlZWRn19ffRWabvdsOpsYrJAbm7ucnmkVMsxthZ5eXnYbDbGxsbYHYU7NmqysgwhOzW18SSQbTA3N8eNvj72NzSQuyopr8ViYX9DgzHD8tChNQW8UsrBnRO4visiN4H7lVLfXGsbMCAiNuAxoFUpZQfOisi3gV8EPhg65ingb4HvbvN0NQlCi7Edjt/v55vf+x4/9ZrXrClWCgsLycrKorOzk8rKyvjk+vH7jV+j1dUxbdbj8TA8PMzp06dj2m68WbP80XqIQF0dtLcb0/WjwGQy3SHOlFI4HA6WlpYYHx/HbrcvW9eys7PJzs5ezix/l7iw22FoyHCVZWUlzN2TNNLTb8c2Ohxw9SqUlBguzBXfpezsbGPmaXY2drt9eXHY7aSlpZGTk0NOTg61tbVkZWVt3drjdMIWEhlXVFQwOjrK3r17t9ZvEmhqauLcuXOUlpbGtuh2XZ0hrsMVQGKIUoqRkRFmZmY4eODAmj+0cnNzqaqqoquzE096OkejyAUnIqVAA3BXdtwI2xqAgFKqZ8VuVzEsaeGxdgNvifLUNCmAFmM7nD/7+7/nv65e5e1vetO6+1mtVg4eOkR3VxeLS0uxjyObm4PGxpins+js7GT//v2xfWDHmXCZmsbGxs0fXFpq5EzaYiCyiCyLrrDryu/343A4sNvtjI+P43A4cDidOBwOFhcXsaWlYZubw7K4SLrVeu+LsEjYbEYc3Nwcvlu38BQWYs/NxeHzsbi4iMPhYHJycvnaVlZWYrNaY/cd8niMXGlbcANXVlZy6dKlHSXGMjMz2bNnD319fTQ0NMSuYZvN+EE4OhpTl7rP76e3pwez2czBgwc3vO/FxcXY7XY+8IlP8K4Nns0iYga+CnxJKdUVxbZsYGFVMwtAYivBa2KKFmM7mLmFBf7hmWc48/nPR/Vr3Gwy0dLSwsjICFevXaOpsTE2s/O8XiOoO8bpLObn53E4HDsmHibM9PQ0+fn/P3tvHtxIm9/3fR807hskCII3wXtIznCO95h33pmxokjaSLEl1e7GcWLHcq12vdJGqfImJUtJSfJGUZXt3ZKiWLYkb0pyXCtlvSl7rajWG9uqVEXD2dn3fed8Z3gNT5AAL4AEiaOBBtDoJ388bF7DA0fjnP5UoUgCYPeDRnc/3+d3uooTkHo9MDjIBJlCfTe1Wi0cDseJgOnHjx9joLcXwtISsn4/dkQRSY6DRCl0Wi1zsRqNMOj10Ov10BsMDdM2iVIKURSRzmSQSaeRzmSQTqeRFgSIuRw4QmDa3obJaERTXx9a+/uxsLSEG2VITDkkGmWJL0WIO6PRCI7jlK0bVwH6+vrw4MEDdHV1KRuC0NfHLLy5nCJJJolEAnNzc+jq6irIq9Db24t/9OUv4+9+4xsAcOYXQwjRAPgWWPzXL+X5WgLA6aaldgBlagCqUgka4+76lpLOZvFnv/M7sBZQnoAQgq6uLthsNryamkJ/X1/pGYp7e8DEhKKxYnL/yfHx8bopZSETCATQU4q7tqMDWFpiWYxlKBqZzWZhTKdhnp+HOZsFhoYORYAsVARBQDqTQSqVwn40ikw6jVwuB4CJO51eD51OB51Wy/7W6aA9+J3juKpYMnO5HERRhJjLQcxmIYoisqKIbDYLMZtFJpM58Rn0BsOh2LRarTAajScFZy7HRNLyMsDzoJSW51xMJlnShsdT9CY6OzsRCASKs8ZWCY1Gg5GREczOzuLmzZvKbdhoZO7K5eWSk4m2trYQDAYxMjKSV4ma4xBCcOPaNfzzX/kVvPfzP//GTZqwk+mPwILwf4pSms3nNQDzALSEkEFK6cLBcxM4w8WpUj+oYqyO8brd6CnSauR0OjFx7RpmZ2cRjcXQ29NT3EQjCMw1cJBRpBQbGxuwWq3Kpr9XAFEUEY1GSxO4Oh3r6/nqVUkT9JmIIlIzM3Ctr7N9nLKkEEKYyNLpzvR5UEoh5nLIZDLIZrPIZrPIHDSuFkXxUAzRY+2diEYDDSHQcBw4jebwbyI/NBrIZ142m8X6+joAQKIUoBT04CFRCimXO/opSaDH2iZpDkSg9phA5LRamIxG9pkMBmgP+k3mBccxV1cyCaffj0xbGwy9vcqX9IjHgffeKynGqa2tDQ8fPsTw8HBdLV5aW1uxsrKCSCSibNmanh5WY65Id38ul8PS0hJEUcTE9etFW4U5jsO7rKZa+IyX/wDAFQA/RilN5fsapZQnhHwXwG8SQr4Ilk35MwDuFDVIlZpAFWNvMXq9HteuXYN/dRWffvopRopxW0ajwDvvKDpB5XI5zM/P486d+ru3bG1toa2trfQJsa2NNT8WBOUaiEejwMIC0pubMHi9RbULIoRAp9UWNDlJkoQcpZBEkQmpAxFF5Z+UQpZUkUgElgMLBAEOhRo5EFEajYYJOo4Dl2+dtFIxm6HzeCAsLMAQjwMDAwVlPF6InEFZYpyeVquF3W6vm/ZIMoQQjI+P48WLF7h7965yQlKvZ4uN6emCFzQ8z2Nubg5erxft7e1lEbeEkB4AXwaQBrB1bB9fBvDwvNcopX968PtXAPwxgBCAXQC/eKyshUodooqxtxxCCHy9vdjb38erqSn4envhzte0v7fHXGoKW28WFxfR3d2tfMuUChAIBHD16tXSN8RxwOgo8OxZ6WJMklgMTTAIWK1I6nRoqmDPUo1GAw2Ql2Df4Dg4a9AaajKbkcxk4MjlWNalz8cEc6kTNc8zF78CE77sqqwnMQYANpsNTqcTwWCw8Azki+jsZIH88fiJ2n3nQSnF1tYWNjY2MDQ8XNZ+pJTSVQAXfekXnhCU0giAizMDVOqKBioepFIKrgO35ebWFhYWFw9ja84lk2E/FY5RkZtn11NmmIwgCBBFseDYknPxeFi9pESi+G1ks6wQplxLy2BgtbDqqGZbLWAymSAIwlEz8uVlFtcnisVvVG57pFBNrJaWFkQikcuv3RpkeHgYi4uLEEs5nqfRaICrV1mLtku2mxVFFrIRjWJiYqIijeFVVI6jijGVQ/R6PcbHxmA0GvHpp58icZ4IoJRZxa5eLcrVdREzMzO4cuVKXfTaO836+jo6lcwoJQQYH2fWk2Im2GSSxZ1Foyz2SaMBpRS5XA66OioVUgsYjUakUgehO3IsWTgMzMwwV3KhZDLMYqngYuZ4e6R6Q6/Xo7e3F/Pz85e/uRCsVmZhjkTOfcv+/j4+ffECzc3NGBkZgbZBsoZV6ov6m/FUygohBF2dnRgaGsL8/DwCweCJIGkAbEXf0cFqYilIJBJBNpstT1HaClBQL8p8sdnYhL27W9j/7e0xdxqlJ5q2pzMZ6OvQ/Vtt5MWBJCcmEMIsWoIAvHxZuPVSXswo2PgdYO2RAoGAotusFL29vQiHw+B5XtkNd3Wx7yp+svKDJElYXl6G3+/H2Ph43d53VBoDVYypnInVasXExAQy6TRevXrFXDQAK04JKO6elEtZjBVRgbwWkNsflaUlTW8vE1T5TvgbGyxw2Wxmj2OkUimYFBYAbwuHrsrj2GwsWPzFC2Ypy4f9fRZvVobJ3263QxAEZOQwgjqCEILR0VFMTysch36Gu5Lnebx48QJarRYTExPqNaFSdVQxpnIuHMehv78fXV1deDU1he2NDVC5ppjC1pVAIACXy1Xe3pllpKj2R/kiTyaXuSspZYH6y8vMEnCGMBRUMVY0RpPpyFV5HIOBHe/Xr1mvy4uQ3ZNXrpStmbXcHqkeaTkodBzOV9jmi9UKXL0KGg4jEAhgbm4Og4OD6O7urqtSICqNiyrGVC7F5XLh+sQE4n4/Pk2nkbafLv5cGtlsFktLSxgeHlZ0u5VCbn9UVjeHzcYm8J2d8wbBmnuvrbFA/XNiwlKpVF01XK8lTCYTUufFh3EcE2SLi8Dm5tnvOR5rWUZB3NnZWbdiDADGxsYwMzNz5BJWCN7lwvNoFLmtLVy/fr1uF34qjYkqxlTyQheLYeBHfgRtd+7g0aNHit7s5+fn4fP5oCtDtflKsLOzg6ampvJXne/pYS2S9vZOPi8LsWCQCbELkh8EQVCmBdZbiOl4EP9ZyIJsaYm5ik+zu8vil8ocmyS3Rzo3AafGsVgsaGlpwerqqiLbo5RieXkZjx8/Ru9P/AR6b94EF1c7B6nUFqoYU7mcaPTQMtPq9eLDDz/E9vY2Hj9+/GYMTYHwPI+dnZ3S2gdVmUAgoGwW5XloNMC1a6yiuBzkLLsmg8HDjMnzkCTpsHCqSuHo9frLY7FkQba8fNJlub8P2O1ldU8ep6urC8FgsOz7KRdDQ0Pw+/0lx77xPI8f/vCHSCaTuHfvHppaWliYhUZzdA2pqNQA6l1Z5WJSKTbhX79+2FZEr9fj5s2b6Orqwg9/+EOsrq6+mXGZJ1NTUxgbG6vbuA1F2h8VgsEA3LrFylZkMqx+WCDALGKXHMOUahUrCUIIOI5D9rIyI8ddlqEQu4aAE9dQufF6vdjc3Cz6uqw2Wq0WAwMDeP36dVH/L0kSFhYW8OTJE4yMjGB8fPzIcm0wsK4hqdRRvUQVlSqjijGV80mnWQbfrVvAGXFGXq8Xd+/eRTQaxQ9/+MOCU9LD4TA0Gk3+Ff9rkM3NTWXaHxWCzQbcvMkm++XlS12TMqlUSi32WiImoxFCMnn5G2VBNjfHXJbvvHPmNVQutFotHA4HIhfU16p1Ojs7sb+/j3iBLsX9/X08fPgQkiQxa9hZCyWbDbhxg9UfU7LQrIpKkahiTOVsMhnmWnnvvQsrhOt0Oly7dg0jIyN48uQJFhYW8gq8lSQJMzMzdVvKQiYYDFbGRXkao5FV15ekvBtMq8H7pWM6L6PyLAhh2a+SxJq/V5h6d1USQjA2Noapqam8LHyiKGJ6ehpTU1O4fv06hoeHL3bJezxMkO3sqIJMpeqoYkzlTWQh9u67LA4pD5qamnD37l1IkoTJyUnsnJf1d4Df74fH44G5gj0SlUbx9kf57xh4+pQ1rG5vv7C6+Ml/E9SyFiWStxiTMyf7+1nA/vPnFZ/w3W533bZHkmlqaoJer7+wqwClFJubm5icnITZbMaHH34Ie74Z3+3tLIZMFWQqVUYVYyonSaeZELt1i2XuFQDHcRgeHsY777yDxcVFPHv2DGm5SOwxMpkMVldXMTg4qNSoq0JVrGJyo2pJAiwWNtm73W9mWJ5BNpMpT1Hatwij2Xx+eQsZSplA7uhg2ZN2OwsWn55mr1WIem6PdJzR0VHMzc2daXFPJpP45JNPsLm5iQ8++AA+n6/wkIHOTlWQqVQdVYypHCEILHPyvfeYCb9ILBYL3n//fXi9Xjx69AgrKysn3Axzc3MYGBio+x5wGxsbyrc/ughKWQzS3t6R65jjmIXM5bpQkGVzOWg4rm4TJWoFHcchl8ud7zaTLWJtbaxzgny8m5tZssXycsXGCtR3eyQZk8mEtrY2LB87drlcDq9fv8bjx4/R39+Pmzdvlpac0tnJEix2dpj7X0WlwqhiTIWRSLAMvdu32cRRIoQQtLe34969e0ilUnjw4AF2dnYQi8UQi8WqE2elIGVtf3Qe29uA388sYcfhOGBw8EJBJiSTMKvxYoqg1+uRPisLT7aIeb2Az/dmdqvbzar052HFVAq73Y50Ol2X7ZGOMzAwgEAggFQqdeiS5DgO9+7dUy4BqKODeQQikaMMWBWVCqGKMRV289FogDt32ISuIFqtFqOjo3jnnXewtLSER48eob+/v+4tNGVtf3QWggC8esVi+M46dlotMDTEhHQk8oY7TA3eV44z48Yk6cg12dd3dlIFxzGX5cuXFXWH1XN7JBmO49Dd3Y0HDx5ga2sLt2/fxsDAgPI187xe4MMPj+JmVVQqhCrG3mYkiVlbmpqYRcxiKduuLBYLenp6YLfb8fr1a8zNzUGs0/iMirQ/OrlDYHaWTfAXWeJkl6XHw4TBsRgbtayFcpiMRgjHxZgoMmtXd/dJ1+SZ/2xiwnpxsezjlOno6KjrrMp0Oo2XL19iY2MDBoMBPp+vvPXyHA62MDWbmduyTmu1qdQXqhh7W8lmWUHKgQGW3l3m1PtcLoe5uTncvHkT9+/fh16vx+TkZEkFY6tFOByuTPsjme1t1u/wghIjh8iCrK+PCYQD91RKEFQxphAmk+mo84QgALEYs0p2d+dXXb+picWOVchdaTQaodVq6649Ui6Xw8LCAh49enSYrX3jxg1MT0+X/55hNLJs8o4Odv3VcUaqSn2girG3kXicmeBv3GCTSAXa4ywvL6O9vR1GoxEajQZ9fX24e/cueJ7HgwcPEAqFyj4GpQgGg5VzUcruyULcx4SwlP2xMYDnQZNJ5HI56ColHhsco9yjMh5ni5pr1wpLeNFoKu6urKdAfkopgsEgHjx4AAC4f/8+Ojs7QQiBw+GA1WrFxlm9P5VGq2XX0NgY6yuqtk9SKSOqGHubEEW2yjMYgLt32YRdAQRBwPr6Ovr7+088r9PpMDo6infffReBQACPHj3CXgWDm4tBFEXEYjG4FI6tO5d83JPn4XIB168jncnAVOcB3LWEhhBwiQQkg4EJMZut8I1U2F3p9XqxtbVV81boUCiEhw8fIhKJ4M6dOxgcHHzDAj0yMoL5+fnK1E8jhLmeP/iA/R0On3D/q6goRX3XFlDJn3icZQiNjjJ3SgWbRc/OzmJoaOhct57ZbMatW7cQjUYxOzsLjUaDK1euwFbMJFdmNjc34fV6K5OAsLfH3JOlxKaZzUj09kKfSLA4MoeDuTJViiObBWIxaL1eJHt6YC0ldqmpCVhZYbXIyhivCZxsj9SsQLa00kQiEczNzcFgMODmzZuwXHA8DAYDuru7sbi4iOHh4coM0OlkcWTLy0xAW61l/85U3i5UMdboiCIzsbtcrD9ehavF7+/vI5VKoa2t7dL3OhwO3L59G7u7u3j58iXMZjOGh4drqkp/MBjEtWvXyr8juaaYAt8Xn8nAOD7Otun3MyubOpEUTjzOrCIjI9DxPPh0GiV9O7LFc2mJWdjKjOyqrCUxFovFMDs7CwAYGxuDw+HI6/98Ph8ePHiA7u7uymUJyxnLHg9zMYfDLHu5ggtblcZFFWONiiQxywqlVbGGASz2Y2pqCteuXSvIktTc3Iw7d+4gFArhyZMncDgcGBwcrLooEwQBuVzuwlW7YuzssLi+EorvyvA8zyZgq5WJ8sVF1UpWCAfWMLS0MJeVwQALIYhGo6Vv2+FgxWB7etjvZcTtdmNqagq5XK5yySfnEIvFMD8/j0wmg5GRkbObeV+AbD2fmZnBrVu3yjTKc5CtZCsr7FrS6dhzdV6uR6W6qGKs0aCUTeLZLCs82dvLMoOqwPr6Omw2W/594o5BCEFra+thO5daEGXBYLAyFfclicWKFXHcziKZTB4dM5OJBSRvbalWsnw4Zg1Dc/PhhGuxWJQJIieEfSfz8yx7r4zI19T29jbaKxQveprjImxoaKikgq2tra1YWVlBJBIpWMyVjFbLCi13dDBBFgyy71Gha1bl7UMVY41ELMbiwjo7Wc/CKk6yoihiYWEBd+7cKWk7hBB4vd7DSeTJkyew2+0YHBysjIXqGBsbG7h9+3b5d7S9zTK3FLCKSZIEQsjJ4pgaDUvecLmYiywSYTWV1CbiR6RS7OF2H1rDjmMwGM7su1oUNhv7ziMRFkdWRjo7OzE7O1txMRaNRrGwsIB0Oo3h4WHFquaPj4/j2bNnuHfvXnUKSZvNzMXc28sE9fY2u+9WOBxEpf5RxVi9k8sxEZbNMjfKrVs1sTpbXFxET08PDKcmsWI5LcqeP38Ok8mEwcHBoixvhRKLxWA0Gsvf/iiXY7Fi+dQUy4MTVrHTyFayaJS5XHZ3mTB4m5uJCwJrC2a3M8vHOUkkhBBwWi2yogidEj1WrVb2vX/wQVndXXJ7pHQ6rdi1eRGRSATz8/MAgMHBQcXj1axWK5qamhAIBNDd3a3otgvCbmcxuXt77HsMhZiAt9tV96VKXqhirJ6RK393dbFHjWQfJpNJbG1t4f79+4pv+7go293dxfT0NDQaDQYHB8vqqggEApXppxkOM0GgkMDkef5iCyIhTPhNTDDLjN/PrHI2G3PFvC1kMswlabEwgepwXDqJWsxmJHk+76DzizdmYRN4NKqYED8PuT1SX19fWbZPKUU4HMbCwgL0ej1GRkbgLONnGh4exsOHD9HW1gZdmYtXX4rLxbqZRKNAIMDiAVUxppIHb9HdtgExGoEf/dGyV88vlJmZGYyOjirfN+4YhBC43W643W7s7+9jYWEBMzMz6OvrQ1tbm6IuC7n90cjIiGLbPJflZUVFdSKRyG8i1GiYS87lYoJwbY2JfZOpsd2XqRSzhBmNLC6sqSnvRBeLxYJEIqGMGAOYJWV1tSJi7PHjx4qLsVwuh/X1daysrMBut2NiYgLWCrjrdDodfD4fFhYWMDo6Wvb9XYq8wHE6mXV1e7vaI1KpA1QxVs/o9TUnxHZ3d5HL5eBRIN4pX5xOJ959913wPI/l5WXMz8+ju7sb3d3d0Cpg3alY+6NYjK2oFTx2yWSysKQDjmPNkt1ulgiyvs4sZjods940Qhq/JAGJBHMJ2+0s0cVuLziz1GKxKNs5wm5ndeWGh8sqgI1GI3Q6HRKJhCJiKZPJwO/3Y319HV6vF++//355e0eeQU9PDyYnJy+3BFcao5FlyqqoXIIqxlQUg1KK6elp3Lx5syr7t1gsuHr1KrLZLPx+PyYnJ+HxeNDb21vSDToQCMDn8yk40nMIBhWP1xKKjQ3Sapkgc7uZcNnePlrhm81vBLTXPJQC6TSzgskJDC0t7LMUicVqBe/3KzdGQthja4sFhJeRzs5OBAIBXLlypehtxGIxrKysYG9vDz09Pbh3754ii59iIIRgdHQUU1NTeP/996syBhWVUlDFmIpirK2tobm5uSKuiYvQ6XQYHBxEf38/Njc38eLFC2i1Wvh8PrS0tBTkwhRFEfF4vPztjzIZFmOiYNxbVhSh1WpLd9larezR3c2C/OXMP0LYyt9orM24GElibki5FZTdzop2ulyKxMPptFqIoghKqXJucYeDJVOUuS6g1+vFwsICRkZGChq7JEnY2trCysoKOI6Dz+cruI5guXC73VhZWUEoFKqoZV5FRQlUMaaiCNlsFsvLy7h79261h3KIRqNBR0cHOjo6EI1GsbKygpmZGXR1daGrqyuvzMiKtT8KhZj1RsEJmE8kYFGyJptOx1yYXi+zMsViLL5sf5+NXadjFjOdrjrijFKWVSwIzAWp0TDh1dLCxGQZskSNByUuFHPL6XQsKScSYVbJMqHVauF0OvNujyQIAtbW1rC+vo6WlpaKxYMVytjYGB4/fgy3213WmFUVFaVRxZiKIszPz6Ovr6/62Uzn4HA4cP36dWQymcOm5Ha7Hb29vXC5XOeKrYq1P/L7Fc+GLWv8jMHARE5LCwv0TySYiIhGmTiT0emOYhuVFGiy8Eqn2f4Btn2zGWhrY8HTFkvZOwyYzWbwPK9sjJTZzBIoyijGgCNX5XliTM6K9Pv9SKfT6O7urqorMh/MZjM8Hg/8fn/ZskVVVMpB7V5VKnVDIpHA7u5ubWQyXYJer0d/fz/6+voQiUSwsrKCV69eobOzE52dnSfiq1KpVGXaH6VSrKyCwq4VnufRWkqT8XzRao+yxwBmlRIE9rlisaPEBEqZYKKUvY8QJpZkCwYh0AgCK60hk8sxd6P8PzKy8GptZSLWaGQCscJtfqxW61G7KaUwm5nFURTLWl7kvPZIqVQKa2tr2NjYQFNTE4aGhspamkJpBgcHMTk5ic7OzvLXBVRRUQhVjKmUzPT0NMbGxmoibiRfCCFobm5Gc3PzobXs448/htFoRFdXF1pbW7G+vl6Z2mJ7e2Vx6/E8D3M1Mss4jlmlLJYj6w6lTFwcf8guxWz28D05i+Wozx8hJ12fWu3RT46riTg1i8WCSCSi7EY1GiZAo1HWgqlMyO2Rtra2Dn+ura2BUorOzs6at4Kdh1bt6G6LAAAgAElEQVSrxcDAAObm5ipj1VZRUYD6u9JUaopQKASO4xSvrF1JZGtZf38/otEoAoEAZmdnkclkcOvWLWUDtM9ifb2krL6zoJRCzOWUqQ6vBLKwusSNndrfBwYGKjSo0jGbzUgmk8pvWK9ncYRlvK4opbBarZiensb8/Dza2towMTFRW6UhiqSzsxOrq6uIxWIV6dCholIqNXKnVqlHJEnCzMwM3nvvvWoPRTEcDgccDgf29vbw6tUrrK6uYnp6Gm1tbejo6FA+aDmbZRmKCscHCek0jPVWfqIO0Wg0oJRCkiRlA8atVmBjgxWiVbiAcSwWQzAYRCgUgtPpBMdx+OCDDypeG6ycEEIwNjaGqakpfPDBB3VltVd5O1HFmErRrKyswOv1nt/7sI7Z2NjA4OAg2traIIoiNjc3MTU1hUwmg/b2drS3tyvzuY/HUikIn0g0hIWjHpCtY4oKda32qEWTApadeDyOjY0NbG5uwmKxoLOzEyMjI+A4DktLS9jY2Gi4gHeXywWj0YitrS20tbVVezgqKheiijGVokin01hbW8O9e/eqPRTFkdsfyQUxtVrtYTmMdDp9WLtMFEW0tbWhvb29eOGztVWWAqo1V4m8gbFYLOB5XnmrKcexEhdFiDFK6aEA29ragslkQnt7Oz788MM3Mp47OzvxySefNJwYA4DR0VF89NFH8Hg85e+goaJSAqoYUymKubk5DA4O1mWA72XI7Y/OcjsZDAb09vait7cXmUwGm5ubePXqFTKZDDweD7xeLxwOR/5ukXBY8XgxgLVBquc4vnrCYrEgFospv2GTiZ0feVbjp5QiEolga2sL4XAYFosF7e3t6O/vv7DkjMFggE6nQzweh03h8irVxmg0oqOjA8vLyxgcHKz2cFRUzqXxZlKVshOLxRCPxxs2Uynf9kd6vR49PT3o6elBNptFKBTC0tISYrEYmpqa4PV64Xa7z1+RZzIsm7AMAcbJZLKh3Mczy8v4777xDfzw5Us4bTZ88Wd/Fv/gS1+qCWuHxWrF5uam8hs2Go8K6p4j7rPZLMLhMLa2thCNRuFyueD1eg9dkPnS2dmJYDBYUnukWqWvrw+Tk5Po6upqqLg4lcZCFWMqBUEpxdTUFMbHxxsyKLbY9kc6ne6w2r8kSYhEItjc3MTs7CyMRiM8Hg88Hs9JV1YyWZbyDJIkAUDDVCDfi8XwY1/5Ckb7+vB///ZvYykYxP/wu78LSZLwW1/5SrWHB6PBACGdVn7DGg0rAZJKHVpPZffj9vY2QqEQRFFES0sLfD4fnE5n0ddkW1tbUe2R6gGO4zA8PIzZ2VncuHGj2sNRUTkTVYypFIQcf1JPRSALYXNzE21tbSVNSBqNBm63G+6DDEme5xEKhTA9PY1kMommpia0tLTAnU5DX4aJr9GsYn/4b/4NUuk0vvv1r8NuteLHAcR4Hl/75jfx9//234a9ym15CCHQchyyoqh8KRFCIEQi2IlEEA6Hsb+/D5vNBo/Hg1u3bilm6eE4Dk6nE7u7u4fnbSPh9XqxsrKC/f39hr13qdQ3qhhTyZtcLofXr1/j9u3b1R5K2QgEApiYmFB0mxaLBT6fDz6f79BqFg6Hsfnxx9BGo7C2tcHpdMLhcCgSg9dowfv/z6NH+Mzt2ydE19/4zGfwK7/3e/jLZ8/w1+7fr+LoGBaLBUmeh8PhKHlb2WwW+9Eo9vf2wAcCyMZisE9MoKenB9evXy+b5aqrqwvBYLAhxRghBOPj43j58iU+/PDDhrP+qdQ/qhhTyZulpSV0dHQ0bNxFKpWCJEllFTInrGZbW8jqdIglk9jb28Pq6ioAwGa3w3lQ76yYdi68QqKgVpjz+/Gj77xz4rlurxdmoxFzfn/NiLFEIlHUcRcEAdFoFNFoFLFY7NBK5Xa70ef1grNYgOHhMoz6JM3NzXj16tUb7ZEaBbvdDpvNVrnOGioqBaCKMZW8EAQBGxsbDVnKQiYYDFbuJn3Q5Fpnt6PZZDrMfMyKIuKxGKKxGNbX1yGKIixWK+w2G+x2OywWy6WxYDzPo729vRKfoiLsxWJwnpHl57LbsRePV2FEb2KxWBAKhS59Xy6XQyKRQCweRzwWA59MwqDXw+FwwOPxoL+//6QQkqSTjdfLyPH2SB0dHRXZZ6W5cuUKfvCDH8Dr9TZkJrhK/aKejSp5MTMzU3CGVr2xsbGBDz74oDI7k/sxnkKn1aKpqQlNTU0AWDA+z/Osavr6OvhEAhzHwWqzwWq1wma1wmw2nxBoQjp9ouF5I3CWW4lSilpxNlmsVvB+/4nncrkckskkEokE4vE4EonEYQsiu92O7u5uWCyWi11mGg1rll7mpuEyXV1dmJmZaVgxJmdALy4uYmRkpNrDUVE5RBVjVYAQ8ksA/g6AqwC+TSn9O8de6wXw+wA+AJAG8K8B/D1KqVjpccrs7e0hnU6jtbW1WkMoO9FoFCaTqSi3YFGcI8ZOo9FoYLPZYLPZIE+PWVFE4mByDwQC4HkeGo0GFovlMHBfFMULa0vVEy67HftnWMCiicSZFrNKQymFlMshLQgIBINIJBJI8jwAwGyxwGa1wuPxoK+vr3hrTDZbETFms9mQyWSQbkBBL9Pb24sHDx6gu7u7oRJdVOobVYxVhw0AvwXgMwBMp177fQAhAG0AnAD+AsBXAPyTSg5QhlKK6elpXLt2raGDXgOBALq6uiq3wzzF2FnotFq4XK4T5TdEUQTP89jZ2QEOvjM5u89itcJsMsFsNsNkMsFgMNTVdznS24u5U1anwNYW+FQKI3kWRFUCSikEQUAymUQylUIqmQSfTEIURRhkEU8pOjs6YDablbUiZ7OsCGwFaG9vx/r6ekNW5AfYAmd0dBQzMzN451QsoopKtVDFWBWglH4XAAgh7wA4HaTkA/BPKaUCgC1CyL8HMFbhIR4SDAZht9thL0Nh0lqBUopwOIzR0dHK7TSbVbTGmFarhcPhQCKRQHt7+6GbKZPJgE8mkUomsbu7i5QgIC0IIITAYDDAZDLBaDQePgwGQ83F0vzknTv4xre+hTjPw3aQXPGdv/gLmAwG/JWbNxXdV1YUkRYEpAQBwrFHWhAAsIrupgNh6/F4YLFaD8tZLC0twWw2l6eKfQnivVAauT2SjMfjwcrKCnZ3d9VOFSo1QW3ddVUA4H8D8DcIIf8fABeAnwTw69UYiCiKWFxcxIcffliN3VeMi9oflY1kkvUeVBie5+HxeA7/1uv10Ov1cJ2qrSRJEtLp9KHYiEajCIVCEAQBuVwOAGuTo9frYTAYDlvm6HQ66PV66HQ6cBxXEQvbL3zuc/gn/+pf4bO//Mv4lZ/7OSyvr+Nr3/wm/vu/+TfzqjFGKYWYyyGbySCbzSKTzSKbySCdySAtCMhkMshkMgAATqs9IU7dbjf7PQ9rotVqBc/z5ZncKyjGGrk90nHGxsbw7Nkz3Lt3r64sxSqNiSrGao+/BPAlADEAHIB/CeDPznpjOp0ua2zHwsICenp6KhdHVSXybX+kKMlkWWKA+GQSljwEikajgclkgukc1xelFOl0+jB+SBZu2WwWmQNRI4s2gIkY7fEHx4HjOGg0GnDHftdoNCAaDTSEgBACotGA4ChAX05YkMdAwS6CP/v61/HLv/d7+Gtf/SrsFgv+7s/8DH7hp38awWAQuVwOkiRBFEX2yOUgiiJyonhifPoDManT66HX6WCzWuFubj4UrKVOyBaLBZFIpKRtnAnHsbZZFUSuOdaI7ZFkrFYrmpubsba2hp6enrLsg+d5hMPhsmxbpbFQxVgNQQjRAPgPAP45gDsArAD+GMA/BvD3T79/b28PX//61/GFL3xB8eynZDKJUCjU0KUsgOLbH5VMJqO4ZYxSygL3FRB5hJBD61Be+z0QQPIjJ4qQJAm5XA65XA6ZTAaSJLEHpQClJ36XyWQyWFtbOzEOQgiazGb88a/+Kggh0HAcuAMrJsdx0Ov10Gg0J8WgVlsxy52M2WxGMplUfsNVEGNerxfz8/MN2R7pOENDQ3j48CHa29sVTXihlMLv92N1dVU+n1sU27hKQ6KKsdqiCUAXWMxYGkCaEPIvwIL93xBjbrcbU1NT+NKXvoSvfvWruHv37rmWjkKZnp7G6Ohow/Q3PI+NjY2S2x8VhSQp3pcynU7DWIUMOEIIdFptySIwvKfFJ9NLGB7rR4urasnDRaPRaFhmpSQpe90QckKwVoJGb48ko9Pp0NfXh/n5eYyNKROaG4/H8fLlS1BK8c1vfhOUfXd7imxcpWFp7Jm2RiGEaAkhRjAPDEcIMRJCtJTSHQArAH7x4D1OAD8H4NOztqPVavGd73wHX/jCFxAIBPDxxx/D7/fLF3/R7OzsQJIktLQ0/mKuooVej0Op4mKsntsgffvfu9DzV6/iv/3d/xw9f/Uqvv0fKmypVIiyWMcIYeK9wnR1dSEQCFR8v5Wmu7sbu7u7SCQSJW1HkiS8fv0az58/x+joKLa3t/HZz34W3/72twGg/lYXKhVFFWPV4dcApAD8KoC/dfD7rx289lkA/xmAMIBFsIv4qxdt7POf/zy+8IUv4O7du0gkEnj06BHiRVYml0tZjI+PF/X/9UQqlQKltDoCpgyTa72KsfCeFj//v/QildaAFwxIpTX4+d/sRXiv/gz3FoulPK7KKoix5uZm7O/vn4gNbEQIIRgbG8P09HTR29jb28Pk5CQIIbh79y5cLhc+97nP4fOf/7yCI1VpZFQxVgUopV+jlJJTj68dvPaCUvojlFIXpdRNKf0vKKWX91kBs5SNj49jdHQUz549w+vXrwu+ka6ursLtdtflpF4owWCwepXGy+AWrVcx5t/QQ687KTZ0Wgn+jfpLHJF7VCpOFeK2jrdHanSam5vBcVxeLa2Ok81m8erVK8zMzODWrVsYGhpq+NAOlfKgnjUNiMvlwr1796DRaDA5OZl3Nk82m8XKygqGhobKPMLqQynFxsZGdcWYwnFAPM/XZUXx3vYMMtmTt6KsqEFve6ZKIyoei9UKXmnLGKWsLVIVeFtclQArdTEzMwMpDyukfP94+PAh7HY77ty5A2seWcwqKuehirEGRaPRYHBwEO+99x6Wl5fx9OlTCJdkZL1+/Rr9/f0N00bnImKxGMxmc/U+q8KTqzyB1OOqvMUl4o9+ww+TQYLFmIbJIOGPfsNfl0H8RoPhsECsYpQhvjBfjrdHanRMJhO8Xi/8p7o9nCaRSOCjjz7C9vY27ty5g56enobOOFWpDPUXlKFSEGazGe+//z62trbw0Ucfobu7Gz6f742bRzwex97enmIZRbVOIBCoTuC+DMexBtAKkUwm69JFKfNffWYPP/ZeHN//f5fwU/9pfWZTAsy1x3HcYSsqRaC0In0pz6OjowPBYBD9/f1VG0OlGBgYwOTkJDo6Ot6o35jL5bC4uIitrS2Mj4+rlftVFKX+ltEqReH1enH37l0IgoDJyUns7u6eeH16ehpjY2NvxQpPkiSEQqHqNj43mQBROcFRry7K47S4RIz1hutWiMlYLJbDRuGKIIpAFb/bzs5OrK+vV23/lUSr1WJwcBBzc3OHz1FKsbW1hcnJSXAch3v37qlCTEVxVMvYW4RWq8Xo6CgSiQSmpqbg9/sxOjqKWCwGnU6Hpqamag+xIoTDYbjd7uq69MxmxcVYI/cPrScsFgt4nofD4VBmg5QCVeyCIbfFavT2SDIdHR3w+/2IxWIghGBqagoGgwG3b9/OqwiyikoxqGLsLcRqteL27dvY3t7Gxx9/DEEQcPfu3WoPq2IEg8HqN0E2GBQN4Od5Hu3t7YptT6V4LBaL8i1wqhzHKQfyj46OVnUclYAQgpGREXz00UcwmUwYGxt7axaqKtVDdVO+xbS2tqKjowN2ux1PnjzBxsZGyQVja51sNot4PA7nqcbZFUfhyVUoY49SlcKwWK1IKOmmBKouxrxeL7a3txv+/kApxerqKl69egWTyYT+/n5ViKlUBNUy9haTTqcRDAZx//59ZLNZzM3NYWVlBaOjo5Xv1VghNjc3q9P+6DQKup2yogitVlv9z6QCANBptRBFEZRSZb4TQqouxjiOg8vlauj2SKFQCLOzs3C73bh79y5yuRw++ugjtLa2glO4j6yKymlUMfYWMzc3h6GhIXAcB47jcP36dcRiMczMzBzGl9V7UPhpgsEgJiYmqj0MRSdXPpGApcG+p3rHoNezXqFKxRjVQLmZzs5OBAKBhhNjsVgM09PT0Ov1ePfddw/veTqdDh0dHVhaWnorai+qVBfVTfmWEo1GkUgk3ogzstvtuH37Nrq7u/H48WNMT08jm81WaZTKUtX2R6fR61mtMQXa3NRr5f1GRg7iL5lMhiV71IDVs9HaIwmCgBcvXuDVq1cYGRnBrVu33lh89vX1YWNjA6lUqkqjVHlbUMXYWwilFFNTUxeWsvB4PLh//z6sVisePnyIhYUFiApm/1WDqjUFPwtCAKcTUKCYpirGag/FxJggADUSs0QIgdfrrfv2SJlMBjMzM4cuyDt37pwblsFxHEZGRjA7O1vhUaq8bahi7C1kc3MTFovl0iB2Qgh6enpw//59EEIwOTmJlZWVvNqF1Bpy+5KayjhsamKTbYnwySQsaiuWmsJitSojxtJpoIbiN2VXZT0iiiLm5+fxgx/8ABaLBffv388rfrS1tRXpdBp7e3sVGqnK24gaM1bPxGLAX/4lc2OYTEc/dTrmBjOb36jcncvl8Pr1a9y5cyfv3XAch4GBAfT09GBpaQkPHjzAwMAAOjo66iZoPBqNVrf90Vk4HECJLmBKKXJKVntXUQSL2YykUj0qa8jqabPZkM1mIQhC3dTckiQJfr8fq6ur6O7uxv379wsKyCeEYGxsDJ9++inu3r375j0vkwFSKfZT/v34Q+n2WCoNiXoHr2e0WlavKp0GeJ4VEc3lTtavsliYBcblAiwWLAaD6OrqKqoMgk6nw8jICHw+HxYWFrC0tITBwcHayE68hODB564pFAi6T6slLWoSjUYDSikkSSq9uHANiTGAFUVdX1+v+fZIkiQhEAhgZWUFbW1tuHv3btGLMbvdDofDgeDyMrqam9n9NhIBdneZ4JLvf4SwVmdaLVsUG4019/2p1CaqGKt3dLqLM60yGSAUAoJBpAUBwuvXuHrnDrOcNTWxG0WBQspgMGB8fBypVAoLCwtYWFioaVEmSRLC4fDlBSspZYI2m2U/KT16EHL00GiOjnspE63JxG7cklT0dtR4sdrFfGAdsxbrQs5k2PVZqtUzl2PndDZ78pyWkc9rWUBotRfeEzo6OvDxxx/XrBg7LsLkmDB9saVkKAXicWBnB1d2dzH9/e+j7epVaOWFsNEIvAVdCVTKjyrGGh29/rCm1fLsLDomJqAhBJidZSLAaAQ6OoCWFsBuZ+IgT0wmE65du1bzoiwcDqO5uZlZKCQJSCbZIxZ7051wepK6rMilXs+OocnEHnY7m0DN5svLEWg0LIhfEIq2kqlirHaxWCylibFUCsi3f2omw87pRII9ksmj87rQxBtCTp7TFgsTHBYLYDLBYDDAYDDUXHskxUSYKALRKFvEbmywY8tx0FmtaBkdRSCVgs/nU/4DqLzVqGLsLSEajSKbzbIGt/LNFmCr5bU1YGmJrYi7u5k4K2ACOUuU9ff3Vz+mjFIgmcTWy5fodTqBjz5iAiyXe9MSILsTCh2vKLJHLMbcFqurRwLOZAKam48skFbrm2LX62XCuAQxplYIr00sFgtisRg8Hk9xG8hkgLP+VxSPRNfuLjvv5KxcuUCsVsseBS6wABxZiGWBt7XF/patwk4nerJZbHz6KYZv3WLneRXJ5XIIBALw+/2libBYDAgG2SOXYwstq/WEZbKtrQ3Pnz+Ht60NpjqJmVOpD1Qx9hZAKcXy8jKGhobeFEc63VG2ligyYba8zEREXx8TEnm60I6LsqWlJSwuLsLn86Gzs7NyFawlid1Uw2FgfR3ZRAKYnoZdnjSampSt2SRPemeRzR6OA5LEJkWvF2hrY8H7squ4hOzUZDLZcIV5GwWL1YrNYstAyIJebjYuCMxas74O7Oywc0ZeVJnNTHQphSzozrLsShKQTqOF57H1/DloPA5is7EFXHMzs6BVaAEmiiL8fj8CgQDa29uLE2GiyI7n8jI7vno9ux+ec8/TaDTo6+vD8tISxsbGFPgUKioMVYy9BWxtb8Nqs13uztJqj2oaJRLA48csLqKvjwmIPAPFTSYTxsfHkclksLy8jAcPHqC7uxs9PT0s1kJpRBHY32cr+M1N9rdWC1it2OF5OAYGQKpRHuD0hJbLMUvGxgb7u7mZHVdCmHArMLhYLjFScoC4SlkwGgwQis2kS6XY4mFriwmw/X12nphMF4qFsqPRACYTOJMJpu5u7Ot0cGk0wMIC8Po1O4fb25lFz+ks3CqXB/J9ZXNzE93d3bh3717h95VUilnA/H52v7DZzrZCnoHL5UJwfR17+/twVbvHrUrDoIqxBkcURQSDQVwvtAWQ1coe2Sy7yS4sAIODQGdn3gHFer0eIyMjGBgYgN/vx+TkJLxeL3w+nzJp8TzPhM3KChM6RiOzJBybAELb2xgaHi59X0rAcUcWDErZhDA1xSaFlRVgeJi9nqdlQbWK1TaEEGg5DtlCSo/kcsyyOzXFxLogsOuwWFdnGWltbcXW1hZcIyNHCzVRZNek38+sTD4fW3Ao4MrkeR7Ly8vY3d2Fz+cruEQFAOZ6XV0FFhfZ9ehwFJUgMdDfj9nZWThv3Kip+FiV+kUVYw3O2toa2tvaiq+vpdMBbje7yc7Nsdiy4WF2g83zRqjVajEwMIC+vj4Eg0F8/PHHsNvt6O/vh71Q94oksRgZv5+5ALXac2+ogiCAUlqbsR2EMPeS2cwmrU8+Aaan2aQmu3wu+c54nlfFWI1jsViQ5Hk4ZHfjeQgCc5fJAeOZDLNI1+K5e4DD4cDC4iLEg0b1ANh1KFuLslkmel6/ZveLnh72WoHiJRKJYGlpCel0Gv39/RgfHy9cAIkiW/QsLLCFUHNzSVY7k8kEp9OJzc3N2iokrVK3qGKsgUmlUtjb28PNmzdL35hWyzIuMxng5UsmykZG2Io9zxujRqNBd3c3urq6EA6HMT09DUII+vv74Xa7L77ByivupaWj7MNLrAWhUAit+WajVROrlblJrFZmGVleZo/WVibMzpmQeZ4vXMyqVBSz2Qz+IjHG88wNGQ4zF6DVygS52VzTQgxglj93czN2d3fPvs50OiZ6KAX29lgIgdkMDA2xc/sCVyulFJubm1heXobBYEB/f39xiSqSxPY7N8fEoctVeqmQA7q6u/HixQu0eDxq0WWVklHPoAZmaWkJfX19yprR9Xp2IxUE4OlTJtDGxgrKBiSEwOPxwOPxIBaLYWlpCTMzM+jp6UFnZ+fJ+A9JAra3WcZhJsNW1nkIEEopQqEQJq5fL+ZTVhaOY8dxd5eJMr2efe7dXRYz1NHB4nBOBSfzPI82dVVe01itVoTD4TdfEARmqdnePgoal6/TaJSFA9QBra2tWFpaunjRQwi7Zu129rlfvGDZxVeuMKv7sftTJpPB2toaAoEA3G43bty4UXzpllgMePWKHU+X643rp1R0Wi06Ozux6vdjYGBA0W2rvH2oYqxBkfuondcAt2SMRvaIRoEHD4DxcSYaChR+drsdN27cQDqdxurqKiYnJ9HS0gJfby8sqRQTYTzPRNhlrp5jJBIJmEym+lmxtrYy4SWj0TBhJq/sNzeBri6WjXnwmYR0Gka1+n5NY7FYsOL3Hz2RyTAL7/r6USbz8WuGUmYddbsrPtZiMJvNEEUx/04Q8n1DEIAnT9g1PTKCKMdhZWUF+/v76O7uLqlaPnI5FsYwP88WiWW0jntbW/Fic1Ot96dSMnUyU6kUgiRJWF5evrzivBI4HMyF+OoVEwwFWslkDAYDhoaGMDAwgO3Xr7H4J38CfTIJz8AAmtrbC7bubW1v14eLUsZiYY90+mTWqlwYNpdjZUc2NoDubmSbmqDlODV4uMbR6XQQRRE0mwXZ3gbkJttO59luumSSufZq3EV5nJaWFoTCYXQVYs0zGiHp9dhdW0Po0SNIbjc67t/HxMREaee0bA2LxUqOC8sHQggrdbG8jKtXr5Z1XyqNjZoT34Bsbm7C5XLBVKlijFoti9+Kx5mVLBi8vHL9WYgiNPPzaFtZwcToKLpu3cIuz+PJ06fw+/15lwmQJAn7+/v1VQyVEOaa4vmzX+c4ZkUxmYClJQhPnsBaqdptKiVhEkVknj5lWXw22/lCDGBivM5czx6PB+FQKO/3J5NJLC0t4emzZ4jlcui7fRtXe3rQ8vo1yMpKcXX3JInFk/7gB2xx6PGUXYjJOBwOaLVa7O7uVmR/Ko2JahlrMLLZLDY2N3GjGrFSspXs009ZXaSRkfyDZff2WGKAILD4KY0GVgBDQ0MQRRHhcBizs7PQ6nRob2tDU1PTuSvovb09OJ3O+qu/JddlyuXOn0gOasGl19bg2tlh7iyvt3p1p1TO5yDppCkQQMrjgeGy8hSZTF32OtTr9dDp9UgkEue2fpIkCTs7O9jc3AQAtLe3w+fzHV2jctul16+Zu/7q1fyPQybDrGHb2+x6qMIixefzYWpqCi6Xq/7uOyo1gSrGGgz/6iq6TgfBVxKtlsVorK8zS9mNGxe7XESRpb8vL7MA3zNiZbRaLdra2tDW1oZ4IoGtzU0sr6zA7XbD29r6hgVwe3sbnXUSAH0CrZaVANjcvDQ+jqcUTS0tLDZmZwcYGCi6pZJKGUgkWMySIEDf2opULodLy4PyPNDfX7EK9kribW1FKBR6Q4wlEglsbW1hb38fzU1NGBoaOt9iz3HMopVIAA8fshI6vb0XLzQSCeDZM2ZRrGJYgtFohNvtxvrGRmHuWhWVA1Qx1kDwPI9EPI6B/v7qDoQQJse+CxEAACAASURBVKr295nb4J13zhYX0SjLrDpmDbsMm9UK2+AgRFHE7u4u5ufnQSlFa2sr3C0tAJgbpJYaGBeEx3Pk5r1gUk4JAoydnWwC43ng+XNWl8rrrcvJvGGQJPb9ra0xS4/LBVMyifj29sX/l8ux87+eXOvHaGpqgn91FT6fD9lsFqFQCKFQCHq9Hq1eL/r6+vK3GFmtzFImW8kmJtixPE04zISY0VgTx62rqwvPnj9Hq8dTXG9MlbcaVYw1CJTS8pSyKAWnk1WZ/8EPgOvXT8bCbG4yIWa1FpU5ptVq0draitbWVqQEAdtbW/j0xQtoNJpzXSV1gcnEVviRyLluGkopcrkcdLI7xmJhE9LSEhNmPl9VXDVvPXKR00jkRMuivNoixeMsW7bYDMIqQwiBXqfDixcvIEkSPK2tGB8fL16UyFayeBx49Ai4detIcFHK4u9mZtg9pkYyijmOQ093N/x+P4aGhqo9HJU6QxVjDcLu7i50Ot3llb4rjcnEJpjnz5kw8/nYhLWwkFeV+bx2YTSit7cXPT09ePr0KSilePL0KVxOJzweD2w2W+0I1Hzo7GTxL5J0prUwk8m8OclxHJusQiF2nIeGamaSeiuQy7BkMm9YaTiOA6UUkiSdbR0SRfY9e70VGqwyUEqxH40itL2NWDwOs8kEiVJcHR9Xbic2G7Ocf/QRy9Tu7GQWs5UVZk2vsUVHS0sLNjY2EE8kYKvnRaFKxVEjDRsASZLg9/vh8/mqPZSzkbMtp6eBP/9zJsQ8HsWtAOl0GlqtFleuXMGtmzfhdDqxvr6Op0+fYsXvB39epmKtYTSymm3x+JkvpwTh7N6ehDCLjCCwJIpEoswDVQHAkk9evGAWm3MWQ0ajEel0+uz/j8VYq6A6qIlHKUU8HsfS0hKePH2K0PY2PK2teOfWLYyOjkIQBIiiqOxOjUa2cHv5Evje95gFuLW15oQYwCyE/QMDWFpcBL0go5wQYiCE/BEhZJUQEieEPCeE/OSx13+JEPKEEJImhPwfZ/x/EyHk3xJC+INt/NenXv9JQshfEEL+VyU/n0r5qP2rX+VS1tfX0dLSokzz7XKRTrP4j1AIGB0tS1zT9rHaYhqNBm63G263+zC+bHllBZl0Gs3NzWhpaantIo3t7ex4nZFZmUqlLi5bYrUeCbLh4bopIFp3UMrc7UtLLPnkApec0Wg8+3vLZJgF8yDesRahlCKRSCAcDiMSicBsNqPF40Fvb+8bjbovbI9UChoNW5wsLzPrmNuteEV9pbBZrTCZTNjZ2UHL+d+rFkAAwF8BsAbgpwD8X4SQq5RSP4ANAL8F4DMAzrrY/xmADIBWANcB/DtCyKeU0umD138CwOcB/LYyn0ql3KhirM5Jp9PY2t7GzRs3qj2U8+F5YGqKiYrubhbcTAiLkVFIlFFKEQ6Hz2x/dDy+LCuKiOzuYmVlBYIgoNntRovbDYvFUluuTL2eTTqBwFHj5QOEVOrynpRGI7O0zM6yTMu2tjIO9i2EUvbdrK4yt+QlwekmsxnJsyyziQQTzDVm5aGUIhaLIRwOY29/H1aLBe6WFvT09LwhwI7T2tqKxcVFZcWYXENsZ4dlV8bj7H4yOlqzxXF9Ph8+ffkSTU1NZx4vSikP4GvHnvoeIWQFwC0AfkrpdwGAEPIOgBPpmYQQC4DPARinlCYAPCSE/DmA/wbArx687Q8B/O8AvqfoB1MpG6oYq3O++x//I7R6Pd6tsZv5IYkEu3Hq9Sx+DGCT1+rqkSBTZDcJmM3mS9sf6Y4JM1EUEYlEsLq6ilQqBafTiWa3Gw67vTZqBXm9rOJ+JnPCCiAIAkz5TEJaLXNbLi0x8VBnxURrFjmAPBjMS4gBYJaS00VB5Yb3NZAJCAC5XA77+/vY3d1FNBaD1WpFi9sNn893oQA7jtlsRi6Xy7890mVQyuLDQiF2LgMsjiyRYGEPY2M1Kcj0ej28ra34P7/3PQzkET5CCGkFMARg+rL3HrwvRymdP/bcp2BWNgAApfQ1gL9e2KhVqokqxgqAEPKfgK1aVgghbQD+EYAcgP+JUrp18X8rTy6Xwz/81rfwr7/xjUrvOj9kIWYwnLxhyin8fj+LG1MgcHlrexuey4pqnkKr1R42LJcnonAohMXFRVgtFjQ3N8PV1FS9/pZaLas7NTvLjhchkCQJlNL8xaJcuX95mVkY1BpIpUEpO2/X1w+/k3ww6PXIHI8ZkyRmMZ6YqGrB3kwmg91IBLs7OxAEAU6nEy0eDwYGBopekHg8nsLbI51HIMBcwaePtdV6ZHEfH69JQdbR0QHLy5f46u/8zoXvI4ToAPwpgH9JKZ3LY9NWANFTz0UB1Gk9HxVAFWOF8vtgPnzgyBcvAvgmgJ+u9GC2d3fx13/8xzHU01PpXV+OfKM0Gs/O6tNomEhYXGTWgcvcbhcgSRL29/bQ39dX9DY4jkNzczOam5sPY2R2dncRDAah0WjQ1NSEpqamyrszm5tZskMkAjgcEM4L3r8I+Vj7/ex31UJWHLJFrEAhBrDAbo7jkJVLkkSjzCpc4Xp4cgB+JBLB3t4eQAiam5rg8/lgNpsVObc9Hg9evXpVuhjb2WEhDaebqctYLDUtyDQaDe6//z6+9/HH+Hhqqvms9xBCNAC+BRb/9Ut5bjoB4PQN0w7g7IwflbpAFWOF0UEpXSOEaMFEWQ/YRbRRjcFwHIff/IVfqMauLyaZPLKIXeSq4Di2wp2dZRaCIm+mkUgETgXbkBBCYLPZYLPZ4OvtRTqdRmRvD2tra+CTSdisVjQ1NcHlckFXibpQvb0sYy+TuTx4/zxkQba8XJdlFGqCQIA9mpuLinU0Go0QUilmaZUzZiuAfP7uRSLgk0lYrVY0NzWho6OjLOevTqe7tD3SpSQSrISFw3Gx5VAWZDMzzGVZY+Vcmpub8etf/CL+xfe//8aHIEz5/hFYEP5PUUqzeW52HoCWEDJIKV04eG4C+bk4VWoUVYwVRuzAtz8OYIZSmiCE6AFUpVJja3Mz7LVWyyaTYeJKnnAuw2BgdZbm5tjqtgiXYCgUQpdCsWdnYTAY0Ob1os3rPQxsjuztYX19HZRSOBwOuFwu2O328rSh0utZEP7sLFKpFCzFfucaDUsGWFhgx12OwVG5nO1tZqUp0CJ2HJPRCIHnYdNq2eKjTO7vrChif38f+/v7iO7vQ6vVoqmpCV3d3bBWyLLrbW3F9vZ2cWIsnWbiymzO7xhZLCyo//VrFtRfQyVCCCHwdXcDQPiMl/8AwBUAP0YpTZ36Py3Y/MwB4AghRgAipVSklPKEkO8C+E1CyBfBsil/BsCdMn4UlTJTO2dtffB7AB4D0AP4ewfPfQggHz9/4yNJzO0oioW5HS0W1jppeRkYHCxossuKIpIHq/1KQAiBw+FgxXV7e5EVRUT39xGJRLCysgINx8HpdMLpdMJus+Ud+HwpB+7KzLNnh22fioLj2HczN8cEgdrP8nJiMSZgL7PSXILJbEZsdRV47z1F3ZNZUUQ8FjsUYPI56m5uRl8BwfdKIrdH6qO0MPGXyzFRRUhhlnKbjd1D/P666O9JCOkB8GUAaQBbx47Rlymlfwrg1wD8g2P/8rcA/M84ysD8CoA/BhACsAvgF4+VtVCpQ1QxVgCU0n9MCPm3YJksSwdPrwP4YhWHVTusrjJ3WjHZYU4ny5gymwsKMt8Jh9HS0lK1shQ6rfawnhnAAqL39/exEw5jeWkJGo0Gdrv9UMCV5Bbq7UXmk09guKCYZF7o9UfWyKtX67YFT0UQBHacrNaSLS4mScIWULJ7Mp1OIxqNIhqLIRaNghACu90Op9OJru7u6iWcHIPjODjsduzv78NViAV2dZW5KIux2jocrDaf2VzzcZGU0lUA5960KKVfw8nSF6dfjwD4WcUHplI1qn/V1h8rAG4TQt6hlH4HTIypbG8fBTYXixxk7nSyyS+v3W5jeGSk+H0qjF6vP8zQBJjVIhaNIhqNIhAMIieKsFqtsNvtsNntsJjNece6ZTUapH0+kGSSCYNSJl2zmVl8FhdZnataKOVRa4gis9JoNKXHIqXT0AGIt7eDctz5s/ApJElCIpFALBZDPB4Hz/OHbc/czc3w9faWxzWuAB6PB5tbW/mLsf19Vsql2HsIIezesbzMyuiobniVOqI2r+IahRByFcCfg5mWOwF8B6y2y88B+C+rOLTqIk/qTmdp7gGNhomExUVmsbnEvZI6aL6cV82tKqHTag+zNAFWjoTnecRiMQQDAfA8D06rhd1mg91uh9VqhdFoPNPSl+R5mFpa2GQ1N3eiGXVR2O3MkhkIsHY8KkdQyib1ZPKNorsFk8sxa8/Vq9CtriKdTp+ZEUspRTKZZOIrHkciHkculzsU751dXQWJ92rjcDiwuLgIURQvF4zZLDA/z9yNpdxDOI5t4/Vr4No11Q2vUjeoYqww/gDAb1BKv0UI2Tt47i/BKh2/nWQyTBhYLMpUETeZWBmHjY1LC8KGjrU/qhc4joPdbj9RQT+bzSIWiyEWj2NrexuCIECn1cJqtR4+zGYzeJ5nLZzcbnZs5My+UnA4WPFSm61mio/WBJubzG1e6vGllFl8BgYAhwMWiwU8z0Ov14PneSQSicNHLpeDyWSC1WqFu7kZvb29NeFyLBZCCJrd7vzaI62uMtGqRIsj2Q0vC7JaLYitonKM+r3Sq8MYgD85+J0CrK0FIaSIWgMNwuoqC9xXMqXc6WTbdbnOdVde1P6o3tDpdCesZwATaPF4HIlEAmtra0gmk0in07BarRBFERazGRarFcZoFOSc5tR5odGwY7y4CFy/XrP9/ipKKnXkLi8RGolAaGpCguPA+/3Y399HKBSCXq+H2WJhwqulBb0+X10Lr/No9Xgub4+0v89ivZRcDJjNzOq7vs5asKmo1DiNd/WXFz9Y77An8hOEkPcALFZrQFVld5fFiiltUcnDXRmPx/Nqf1Sv6HS6w0KzMs+fP0dPTw/S6TSzogHgVlagkSTonE4YjEYYDQYYjUbojUZWXDQf9HoWqO73A0NDZfk8dYOcEazXF2RRyYoiBEGAkE4jIwgQBAHi3h4kkwmSwwEzz8NqscBisSAcDmN0dLSMH6J2uLQ9klLuybNwOI7KkdRaCSAVlVM05kxWPn4dwL8jhPwhAD0h5H8E8AsAvlTdYVWBTIZNWuW4iQJH7srt7TMzo7ZDobpzUZYCpRRiLgfnaWvNyAhyr14hLQhI///svXmUHNld5/u9GRm570vtm6SW1FJ3u9Wtts3YxmPADNsw4xmbGUzb2Lw29HgGhvUZP+xnPPZ4HsecR495LI+lwQYvgD1+QGMwjG2MwQyYbnVLaqm1VEulWlRr7hG5xHbfH7+MrKxSLblErhWfc+IolZUZeTMz8t7v/a1OJ8rlMvKFAiqVCnRdhyAIcLtccLlccLnddNvthksUd8YeBYPklkskjra7cm2NYiB3fQa6rkNRVSiVChRFQUVRoFQqqCgKDMOAUxDg8Xjg9njg8/sRc7ngnpqC44EHdmSr6rqOxcXFbr+rnnJge6SVFevck7sxN3U3b9ruSpu+xxZjTcA5/zPG2HeBSln8DagC/7/lnD/X25H1gDt3KB6mk26tUIjiopLJHQuaYRjIZrNttT8aNCqVCtx7fdYeD4SHHoLvxRfhM7PJ6tB0vSYalGpJhIqiQFUU8GoNKNHlgksUIQJwf+MbYI88AtHvh8vlgiiKPSsb0g0Mw4CqqlBUFWouB/7CC6iIItRCAYqmQav7nOoFbSAQgDsWg8vlureOV6FAm4ldQgygmEHOOQzDGJhA/HbZtz1SqURizAJ38L54vba70mYgsMVYk3DOL4AK7h1dTItVpy0oTie5jVZXd0yk6XQakUjkyCxmALaD9/fC46GF/8oVag1T9zinIMDp88G3T1aZrutQNQ2qokBVVWjpNMovvgh5YgKqqkJVVfBqXTOn0wlRFOF0Ovc9HIIAweGAw+GA4HTWbncKwzCgGwZ0TaPbug5d16Fp2o7DvE9VVaiaBl3TAKAmspyCgMDiIlyMwRsIICiKJFB3WxAPo1CgDcrZs/vWb/P5fNRJYb/vc8jYtz3S0hJ9Rp3+HdvuSpsBwBZjTcAYcwP4AIC3AohzzsOMsX8B4BTn/Fd6O7ouoeuU8t8p9+RuQiHK9hsdrSUJdLr9UT9yoBgDyALw4IPUE3SXIDsIQRAgCAI8ZjxPNEpie3JyRxcF002qKsoOgaOqKiqVCmRZJsGj6zB0fYcw4k0UqS2VSnj22WcPf2AVhyn8qu/DvF0vEN1u947/i6IIQRB2Wvy2tuh9t5M9mcuRMD579kCL8Y7M2CPCPe2RJAnY3OxOLTCHg34fL79M7sohtvTaDC62GGuOpwBMAngcwF9U77tSvf9oiLHNTeod162FxOGgWI+VFeD48a63P+oXZFlG9DBLpMdDguzqVRIGrWRZMkZxNgsLlDxRXbgYYxCdzo4nTDz77LN47LHHOvoa96DrwO3brbco4pw+70AAuP/+Qzsa+AMBSIVCa681oMRiMSwsLOD48eMkghcXaXPVLWHk81HCUTZrF4O16UuOjp/HGv4NgB/gnP8vAAYAcM5XQAJt+NE0WqTbKaXQCoEAuSpLpZ63P+oVxWIRPm8DFVQ8HhJRoRBZelppneT1UhB7Ntv8cweRzU1KSGkl/lHX6XNOJoEzZxpqLRUIBCDJcgsDHVwEQUA4HEYmk6FrK5Pp3obOJBAg0W0Y3X1dG5sGsMVYcyjYZU1kjCVBjVqHn7U1Wty7nZXkcNAit7KC9QEs9NouhmGAc954w2dRJAvN5CQJBV1v/kX9/qOxcGkaWWmaaWxvoigkWI8fp+bUDVoNPW43KtXuEUeJkZERrG9sUPJPIxsLq3G7KWkgne7+a9vYHIItxprjswA+wRg7BgCMsXGQe/IPmjkJY8zNGHuaMXaHMVZgjD1fzdI0//6jjLFnGWMVxtjHrXwDLVOpUMBtq66cdvH7UVleBlPVPVvJDDPFYnHfAPx9cTiAuTmqG5bL0ffXDB4PLVypId9nrK2RIGvW/Vos0vHAA1R6pQlLLWMMgiBAqyYRHBXC4TCKW1vQMpneiDGA5q/bt+k7t7HpI2wx1hw/Byr8ehlABMBNAHcB/Jcmz+MEsATqaxkG1S/7I8bYXPXvdwH8VwC/0+6ALWN1lRacXtXqcTiQyWYx1oAbaNgoFoutB3uPjFDQcqVCmX7NEAiQW3pYFy5Fad4qZrY3AoCHH245/sgM4j9KMMYwAiBXLPZuEKJIhWY3N3s3BhubPbDFWIMwxhwAXgfgZznnAQCjAIKc85/knCvNnItzLnPOP8g5X+CcG5zzPwNwG1TdH5zzz3PO/xj94v5UFOoV2SurGCibL1OpIFapDL/rbBdtZ94FgyQcgkGydDUqrlwuWrgymcMfO4hsbDS3wahUtuPD2mxC7ff7UeylKOkFmoakpiHdaxdtKEQivBX3vY1Nh7DFWINwzg0Af8I5r1T/v8mbydk/AMbYKIBToMzM/sN0VfWwrpdcLMIdCEDUNAoAPkJIsgx/u9mjHg/FkZ06RaUvGrWSeb2UyWrNpd4/6Dq9r0Y+VzNbUlGobMV99zUUqH8Q/kAAkiS1dY6BI5OBx+WCDkBRmtq/Wosg0IYkl+vdGGxsdmGLseb4GmPsm6w8IWNMBPApAJ/gnF9r5rm8GxYiw2h80eog6VQKsXicRMXqak/H0m3K5fJ2HbB2YIzclufONW4l83hIvA2bSy2fbyxWTFHIGpZIAI88Ylmh44Dff7TclJxTzKnfj1g0inSvra3mJqPDcM5RaTZe0+ZIYtcZa447AP6CMfYnoJivmrmAc/6BZk9WdX3+PihL80ebff7q1hbe/7GP4aff8Q5EO9VSJJ/vbl2xPTAMA4VCAVNTUyQo0mlqbH0EAvlVTYNzd4HSdjGtZJubVMAXIHG2n+VTFKnjwjDVdltePjiIXNepMKnDQdYwi7tNiKIIVdNqrZaGHkmihJBYDNFYDPPz8xjrZVa02fu2iQLJzZLJZDD/8sv4q+eeA4BkR17EZmiwLWPN4QXwxyARNgVguu5oCkYz8NOg2LM3c87VZs8xlkhAAfC6J57Ab/3hH3Zmp7262nPRk8vnEQyFqC2NuXAdEVdlsVOV2k0r2SOPAGNjFJSez+/tjvT7SYz10rVkJbJM73UvMWYY5L4qFICpKeDRRzvW9svtcvXWXddNMpmaFVKsdkHoecycIFDcoMXk83lcvHgR/+N//k88+dRTKJMHoz/if236Ftsy1gSc8x+y8HS/DuAMgDdyzkv1f2CMOUHfjQBAYIx5AGic8x0+JYfDgY/++I/jP3//9+OFa9dw4+ZNeD0ezM7NwWuFgDJr8vS4YnU6lcLY2Nj2HT4fWXVGRno3qC4hy3LzZS2awe2mEhhjY2QtWlsj8V0vAE2LWTpNjxt0NjfvDdrnnASYplF9tvHxWvutTuGvuirdHX6dnsM5iZ666zgeiyGVTnf22j6MQIA2GdPTzZc22QNJkrCwsADOOY6fOIGMquKZp57C5MgI/uvTTx+trCObprHFWBMwxo7v86cKgNVqkH8j55kF8GT1eWt1boonOeefAvB+AD9f95S3gcpnfHCv802NjmJqdBScc6RSKVy9cgWhcBgz09PtTfSpFC1aPXSjqLoORVF2TtpuN1lyVLXtQOp+R5ZlJJJd8HB4PBSYPjZGmWapFH3Ofj99/4EAxdiMjg52bz9dJ8FpZgYbBlnKFIXe29RU12pgmWIs1iHLW99QKtHnWyfwQ6EQ7q6u9tZNKwh0PWSzFBPYIqVSCQt37qBcLuPY3Bwi1ZCRN3S7rZfNQGOLseaYx3acGKu7DQAGY+xPAfxHzvn6QSfhnN+pPn+/v38Q+wivg2CMIZFIIB6PY2NjA5cvX0YkEsF0q6JsY6N3xRmrZDMZRKLRnRO2eVuSem616zSSLGNubq57LxgIUIxUoUAu6q2tbTFWqdDC2ktrRrtIEgkwTSMRxhiJsNHRrsdF+gMBLC8vd/U1e0Iud4+AFwQBAb8f+Xwe4W63V6vH46FrvAUxViqVcOfOHZRKJczMzCAWix2N+D+bjmDHjDXHD4MyH08B8AA4DeCTAP4jgIdA4vZXeza6KowxjI6O4vz58wgGg7h8+TLm5+eby+opl2nhbaVfn4WkUynE9hJcLhdNokMM5xyapkHshfUvGKQyGOfPA7OzJMRyucHOZDUz+kx35IkTwGOPUTujHiSo+LxeFI9CRuXm5p6bulg83h9ZlZlMU4WNS6USrl27hmvXriGZTOLcuXOIx+O2ELNpC9sy1hz/BcB9nHOzauE8Y+zdAG5wzn+DMfZOUFX+vsAUZSMjI81byvL5nrujypUKGGN7j9XrJVfa8eO96wrQYSqVCtw9FsNwu6ndz9gYxddsbGxXL/d6yUrWw/pzh6LrZAErl+l6LpdJgMViPb++BUEA5xyGYVByyjBidn7YwxUb8PuxtLgITdfh7NVvmDGylEoScEhGum0Js+kkthhrDgeAOQD19cBmQIH2ACChDz/TvURZOBLB9NTU/n0e99nNdpN0KoVoPL73Hx0OmkRLpeEquVBH25X3rcThoKB2pxN4zWvoc19dJXGm62SpDATuCYT+6taz+JZ/+A8AgJ8/+cP44OkncUO6g4/d/gP81eY/YKW8gYgYxPnwGfwf970Tu6XnF9b/Dr9+53O4mL+JTSWDUXcM3zPyOnzg5Lsw5tnHtaQotLiadcTGx8kNKQhkHdvvmuoBXq8XpVKpf75nqykW9xW9jDGEIxFks1kkevmdiCIlp+wjxmRZxuLSEsq2CLPpIH0nHPqc/w7gK4yx3wXVGZsC8EPV+wHgewD8rx6N7VDqRdnW1hauXr0Kn8+HmZmZnQHyqkouqU7VLmsAzjmy2SxOnj598ANtMdZdOKfP3Iyz0nW6VtbXSZyZpRoYo3icXS1n/sfql/GDL/w8ivp2S5xSpYI/2/hbfGHj7/D+0NvxGB6Damh48vJH8LtLz+x4/mJpDb9+53P4/9b+Gn/7mt/Gfe5xGk+lsl2Ww+ulDNFkklrfmFanhYW+s+KZQfx99z1bhSQdaLmOx+NYWlzsrRgzs7Pn5nZcH4VCAXfu3IGu65ienkZ0d+yqjY2F2GKsCTjnH2WMXQLwfQAeBbAK4AnO+Rerf/9jUB2yvoYxhmQyiUQigUwmgxs3bkAURczMzCAYDNIESg/s2RjlYhFerxfiQe4Ll4vcqd3INuwBsiwj2m+Zdj4fiS6zYKcgkAsqFgPOnCFRVCySayqVAlLbouvC5iX8wvzH4XKI+InJt+CxyBkYDoYvbv0jPrP6V+Dg+G/5T+IHpTfhY7c/g99degavCNyHt41+O2ZdSayXt/Cba3+OF0sLWKuk8M5/eh/+7tFfIUtXPE5xXz7f/nGOfdBJYjf+QABSsw3cB4l8/sC4U4/bDd0woCgKXL1yyZvtkYpFcL8f2VwOS4uLYA4HZqane5tgYHNksMVYk1SF1xd7PQ4rYIwhFoshFoshl8th4c4dcMPADOcIC8L+6Z5dIJ1KHS5EXK6h7i9XLBbh67Gr+B68XrIicL63WHe76YhGgZkZIJoDLtOfnsn+I06E5vCVb/s9zDiiZNEqFvH28OvxgDiB9y3+LnQY+Pf/9B48L7+Md499L37lzE/D4fPT63q9eEL8KXzTn/wrXE5dxdelq/jGKT9eNfmKw8etqiQQ+0y4B/x+rK2t9XoYncEw6DM3y4jsg9keqZcV+TljSC8tYbFSgcftxvHjxxHoM+FuM9zYYqwJGGNuAB8A8FYAcc55mDH2LwCc4pz/Sm9H1x7hcBgPhcOQJAmbX/kK1splJCYmEItGux5cbBgGCpJE7Y8OQhR3xgZ1kfmlJfzi7/0e/uHFF/Hiyy/jm8+dw1d/8zctO79hGOCcQ+i35ASzNlO55wGj7wAAIABJREFU3FJM4Se/7zOYmbq3vetPa6/DL/zi51BQCrggz+OhkYfwyz/8eTgcO79XH4D3/vP34fHPPw4A+Mv5v8SrJl91+Av3utr7Png8HlTK5cMf2EU+96Uv4Zc+/Wlcv3MHcqmE2bExvP27vxvvecc74Goms7dSIUF2yPwRjcUwf/NmT8SYputIp1JIr6zAUyzi/te+Ft5+2wDZHAlsMdYcTwGYBPA4gL+o3nelev9AizGTgNeLQDKJiteLza0tvHTtGmKxGBLJ5MEuQwvJ5fMIBYONi8Byuevupysvv4w///u/xzc9+CAUtelOVodSKpV6W538MIrFpsXY+fHz+KY9hBgAuJ1uPDbxGP564a8BAE+efxJOx97T0+tmXle7fXXramMvbrre+wzGGARBgKZpcHZ5Q7EfqVwO33L+PP73t78dkWAQ33jxRXzwt34La6kUfuVnf7bxEzUoMkWnE6LLBblYhL9L17yiKNjc3EQ2l0MsGsWJs2chalrPk5Zsji798esfHP4NqLSFzBgzAIBzvsIYm+zxuKyjXAY4h9vtxtTkJMbGxpDa2sLN69cRDAaRHBmBp8PtW9KpFMbGxxt7sBlQ3mUx9r2vfz3+9RveAAB4y3veg61s1tLz93VQt8NBsUBNBl2/evLVB/59NLBtGTnI2jXq335cptRgnap0uuPtjVrF5/NBluW+iU168s1v3vH/b3nsMeRlGb/62c/i/3nPexoPYj8keL+eeDyOdDrdcTFWLBaxvrGBcqmExMgIzoyPb2/6isUj0dXDpj+xxVhzKNj1mTHGkhimJrC7drNOQahlYGazWdxZWIDD6cRoMolgMGh5dlGt/VGjO1RRJDHWZTrtupVlmZIp+hGPh4Lzjx1r6mlx38HizS1si6WDHut2bj+urDXo4kun+9bq4ff7USwW+0aM7UU8HG7eAlwsNixswqEQ7t6925H2SIZhIJfLYXNzE8zhwEgyidDs7N6vUy7bYsymJ9hirDk+C+ATjLGfBADG2DiorMUf9HRUVlIo7Bl/xRhDNBpFNBqFXCxiY2MDy8vLSCQSiMbjlrkws+n0ve2PDkIQGnaHDBKSLDduHew2Hg9VLd8viH8fHKxxAdvMYw9FVfu6BIo/EMCWWUi3j9B1HRVVxYVr1/DLf/iHePdb3tKcUCqXG7aMORwOy9sjqaqKra0tpDMZhIJBTM/MwLtfXUWAruVi8dCEAxubTmCLseb4OQAfBeWH+UDV9n8LVJl/ODgkFR0A/D4fjs3NQdU0bG1t4YbpwkwmD57sGiCdTjfXi1EQKFB4yKiUyx13B7dMm0H8XadPg/dNAn4/7iws9HoY9+D/5m9GpVo37ge/53vwiz/+482dQFGa6mMai8extbnZthiTZRkbm5vkikwkcPr06cYq/IsibUZ7mNVpc3SxxVgTcM4VAD8B4Ceq7sktzjk/5GmDRanUcJ8+0enE+NgYxkZHa7V5OOdIJpOIRCJNu/IObH+0H0MoxjRNgyAI/V9gUlUHQ4yZhWj7FFEUoWpaR1x07fD3v/M7KJbL+MaLL+JDv/3b+NGPfhS/9t73NvZksxl7E3NAO+2RNF1HJpNBKpWC0+nESCthFE5nT0IebGwAW4wdCmPs+AF/Dpo/ds75re6MqIPoOh1NToSMMUQjEUQjEZQrFWxtbWF1bQ2hUAiJRKJha9mB7Y/2w+mkQOEmXWb9TF8H79fT5yKnhqL0/bXhdrmgKEpzG5EO8+j99wMAXnfuHBKRCN7xwQ/ip9/2Npw4rOQMQEKsyX0qYwyRJtsjycUitjY3IckyYtEojh871nrxWKdzKEMebAYDW4wdzjwADoBV/0X1Nur+D2z3pxxcNK3tU3iqWZgT4+PI5XJYXlqCYRhIJpMIh8P71s1quP3R3k+msQ9J4K0sy/1d1sKkAyU9OkKp1PfN5M22SP0kxuoxhdntlZXGxVgLxOJxLN65c6AY220FSyYSmJmZad+qKAgk3IdoY2czONhi7BA45zU7O2PshwC8EcAHAdwBMAsqAvvlngzOaiwQYyYOh6MW8F9vLQsGAojH4/D5fDsmT0mWD29/dBBDJsYSfVYp/h4EYXBcOqVS14sCN4uvKsZi/db+qsrXL14EABybbLCKj6a1JGg8bjcMzlGpVHYIU845CpKEVCqFUrGIaLtWsIMYornEZnDo7xmq//gwgJOcc3MVuskYexLADQAf7/ZgVC1q7QktFGP11FvL8oUC1tfXUalUEI3FEItG4XK5kEmn2+vDaBjWDbgBiuUy/vzv/g4AsLK5ibws43Nf+hIA4Ltf9zr42khkkGS5uSSGXjBI8TUDIMYCgQCWl5d7PQwAwHf+2I/hja96FR44fhyCIODrFy/i//7kJ/Hvv/3bG7OKAfR7bDGcNh6LIZPNYmx0FOVKBelUCplsFj6fD4l4HIH9ylJYRUfE2Hh/X4A2Pce+QJrDAWAOwEt1982iRy7Ky/Nfwmf+chVv/Y4GC18eRofEmInD4UAkHEYkHIaqacik07h1+zYEQUCpWMR4o7vuvehyHsVGOo3v2xXMbP7/9p/+KeYmJlo6L+ccmqZB7Ped+aCJsTazfDuNz+tFUZZ7PQwAwCvPnsXHn3kGC6urcAoCjk9O4v/6T/8J/+Etb+nK6wdDIdy8cQO5bJb658bjjWdEWoHF8+BnvhgFcOshS09qM3TYYqw5ngLwFcbY7wJYAjAN4J3V+7sO51488aE5vPFVBSSjFkwgLboWWkF0OjEyMoKRkRGsr69DU1XcuH4dPp8PsWgUoVCo8d1vD+I75iYmwJ991vLzVioVuDvherGaQQp2LpcbzhDuFYIggHMOwzC63gt2Nx9+97vx4Xe/u72TNBl3pes68oUC0qkUKpUKmMOB0bExRLpdCJcxS8XYZsaJJz48h6bSSm2OJLYYawLO+S8yxi4D+D4AjwBYBfC/cc6/2KsxiU4DC3dd1ogxw+iJsJEkCTOzs/B5vZAkCel0GssrKwgGg4jFYvDvii/rJpsZJxbuujA3oVjzGR9CsVgcjExKxijz9hDeMPcG8J9vzGr58Td9HO+MvBNvqLaZOohGzwnOByYg2+v1olQqde377/a1vRvOOQqFAtKZDGRZRigUwtj4OHxeL7K5HAr5fPfFmHm9WMTCXRdcooFSxdZiNgdji7EmqQqvnomv3aiaA3MTFpUY6HLcFQComgZFUWo96YLBIILBIAzDQL5QwObGBhZLJYTDYUSiUfi83q4Js898MYonPjwHl2hAUR14+gML1rmE92FgylowZumi9anLn8L7vvw+LOYWMfPCDD7ybR/B4w89btn5BwEzo7Ib33/Hr+19rg/OOSRZRiaTQaFQQMDvRywWw+yubMhOtkc6FAuv67kJBYpqCzGbw7HF2ADDWAlPf2DVul1tDywI2UwGkei9iQj18WWarqOQz2N9bQ3lchnBUAjRaHTbYtaBcZvuhVLFUdvVWuoS3gdJljHVaJB0r7Fo0frU5U/hR575ERRVqpR/J3cHP/LMjwBA+4JsgGoy+wMBSIVCx1+n29e2mQmZzWRQkCT4fD5EIhFMTU7u65LtRHukhrB4k5GManj6Awv4gfdNGEB/xy3a9BZbsg8wD933xo5bajpNKp1GbA8xVo9TECiV/fhxnD59GoFAAJsbG7j60ktYWlqCJMuwesk13Qv1mC7hTlKU5cabpA8J7/vy+2pCzKSoFvG+L7+vRyPqDQG/H1IXgvi7cW0bnCMvSbhz5w6uXr2KdDqNcDiMM/ffj2Nzc4g20KEjFo8jnU5bNqaG6IB4pzn6+GXLT2wzVNiWsQFGdFosxCzeFR5GuVKBo8n2R4Ig1Kr914J+l5Zw7eJFBONxxONxRKPRfYvLNspe7gVLXcJ7YBgGOOdtj71rWGSNXMwtNnV/UwxArJiJx+NBpQtJEZ26ts0M6VQqheLmJkayWURnZzE9Pd1SUkI77ZFahrEOXTOr3Q/KsxkobMuYzTZdTvhJp1KINdv+qA5TmM1MTeH8q16F0dFR5HI5PP/887j84otYXV1FpcW+laZ7wes2EPJr8LoNPP2BhY66KEul0mBU3gdItFt0vcyEZ5q6f1hhjEEQBGgdLjFj5bVdKpexvLyMixcv4tLFi5CLRUxNTeHRV74S09PTCIVCLWeHmu2RMtlsS89viQFJ9rAZPmzLWBMwxmIAfgbAOQCB+r9xzl/fk0FZicPRNcuY2f7oVCvtj+oxDEAQwJxORCIRRCIRABQIn06ncfWllwDOEY1GEYvFmmoe/NbvyOCNryp0LeNsYNogAXSdWGSt+Mi3fWRHzBgA+EQfPvJtH2n/5IxtX9cDsMj6fD4Ui0WEQqGOvk6r17ZhGMjl88ik08hkMhBFEfF4HKdOn97Zg7aF3pR7YbZHSraxaWuaAbhObIYPW4w1x6cBuAH8EYDiIY8dPLpYaNRsf9S2+0HTgD3cnH6/H36/H9PT01BVFZlMBit370IqFOD3+2vV/w9zkSajWtfS/mVZRiAY7MprtY2mWVa7ywzSr2VThi3OpnS7B6bFjZlR2WkxBjR+bZfKZXI/ptMol8sIh0KIxmKYnpmBuF9nA6dzO+yhDXGzX3ukjtLn3RpshhP7qmuO1wBIcs5b8331O05n1yxjmXTamj58ug4cEvAuimKtwGwttT6dxksvvQRd1xGJRBCtFpp19nAilmQZY2NjPXv9ptC0Qz/3Znj8ocfx+EOP46tf/WpDdcaawuulBtCDIMYCAWxtbfV0DKqmIZfNIpPNIpfNwuVyIRqL4cTx4/A2U1rG7abfZ5u/qXgshnQmg/Fu/TZsMWbTA+yrrjkuAZgC8HKvB9IRujQJGYaBgiRhenq6/ZPp+p6Wsf1gjCEYCCAYCGBmZqa28KTSadyutmYy3Z3txLu0QrlchqfP2/bUsFiMdRS/HygOhiE74PfjzsJCV19T13Xk83lkMhnkcjlwzhGJRBCPxXD82LHWE0rcbhLBbc4rkWgU8zdv2mLMZqixr7rm+AqAL1bbIa3V/4Fz/ju9GZKFdGkSyuXzCDURu3UgmtZW30HR6UQikUAikQAAKIqCbDaLjY0NzM/Pw+VyIRKJIBwOIxAIdCzTUdU0OAWhZ50GmkbX+77fYw2vt+N9V61CFEWomtbRYqeapqFQKCCXyyGbzULXdYTCYUQikYNdj83i8VjSv1R0OuFyuSAXi7Xi0B3BdKnaYsymB9hXXXN8M4BlAN++634OwBZjDZJKpTA+Pm7NyTgHLJygXS5XzaUJULxMLpvF+vo6bt68CcHpRDgUQjgcRigctmzhKg5S8L7JALj9AJAYa6B1U7/gEkUoimJZjJSiKMjl88hls8jn8wCoGXckHMb4+HjnYrFCIWB93ZLYwlg8jnQq1VkxZhh0TQ/KhshmqLDFWBNwzr+l12PoKA4HTUa6blmm3G5UTYNa1/6obTjvqIXG6/HAOzZWi+UyF7ZsNovFxUUYhkEtnEIhhIJB+FrsozkwbZDqGRQxJoqDVYm/GsTfikgyDANysYhCPo98Pg9JkuB0OhEOh6nt0NycdZavw/B6LRM2ZnukjjZS3ycZyMamG9hi7BAYY4xzmskZY/vOApzz7jd27ASmS6dDYmy/9kctUS1r0c0J1OVyIZlIIFl1a2qaBkmSUCgUsLCwgGKpBJcoIhQKIRgMIhQKweU6vLK5LMtIJJOdHr51cA408L76gkEZZxV/IABZlg9NcOHVLMNCoYB8Po98oQBd0+D3+xEMBjExMYFAINDVuMcdeDyWiWCHw4FgIIBCodC59kiaBgxKNrPN0GGLscPJATDzzDXgns47rHrfgJRNP4RQCFhd7ZjASaXTODY3Z83JKhUabw/dCs5d9c1oWBXkqwvkysoKFFWFx+1GIBhEIBBAIBCAx+3eYUGTZBlzVn0unUbTSOAMSszYgLl/A34/lldWdtzHOUepVIIkSTXxb15XwWAQ0WgUMzMzEPvJWul00jWiaZaEQMTicWxubHROjKkqzSc2Nj3AFmOH80Dd7WM9G0W3CAQ6Fl/TSvujA1EUYHTUmnNZiNvtRtLtrlnPOOcoVyq1hXSt2vBcdDoRCATg9/uhVCqDE7xfLgNWWDc1jRZAXScLCucQZBnI57fb0ggCCb92LLVOJ8UtVSoD4YZyuVwo5PNYXV2FJMuQJAm6psHj8SAYDCIcDmNycrJ7dbfaIRQCsllLxJjf58NiqdS59kicD06GsM3QYYuxQ+CcL9XdvtPLsXSFDk5G7bY/ugfDsKzwaCdhjFHsmcdTE2gAxZ9JkoRcPg/DMHDp0iUYhgG3xwO/zwe/3w+f3w+vx9PT+mf3UC4DxxrYlxgGlZQoFgFJosy6+sOo8+xXC4SGrlzZW3gJAllZfD66Rn0++u79/sZik+JxYG2tr8SYqmkoFYuQi0UUZRmyLKOiKHAKAlRVha7rSCQSmOtmnJfVhMPAxoYlv9P69kgdq8g/KNZem6FjQH/hNh3D7e5I+xjL2h/tZoB3si6XqxYXZOg6Tpw4UbOiyZKEYrGIdDqNUqkE3TDgEkV4vV54fT74vF74fD643e7uxwRxThbU3fcVi4AskyUknSYLl65vW7icTgqmF0Va9PYYtxoOA3vFzhkGWdKKRTqvaVEz2x1FIkAsRou/33+vazIWAxYtaDzeJIZhoFQqoVgqoVwqoVgsolgqQauWMvF6vdQRIhqtWbsYY7hy5Qqi0ejgJXXsxuu1NHmiY+2RVJXmvkEVvTYDj33l2ezE4aDFTFEstSJY1v7IpFKhcfaRpaNV6jMp661o9XDOoapqbWHP5XJYXV1FuVwGQLFrXq8XbrcbXq8XHo8HHo8HLpfLevenWU5E10kYbWwAd+/SdwJsi61YzDpB73CQu3KvYHzDoNdeWKBFFaDxTU0BiQQFZXcobswMoi+XyyiVyyjXHbqm0ffp9daO8fFxeL3eQ2O7/H4/isXi4Isxv9/SDG2P2137zC110yoKCXobmx5hizGbewmHLQ/iT6dS1rQ/MimVgNlZ687XQyRZxtTU1IGPYYzB5XLB5XLdE8DMOYemaSiVSqhUKihVxVq5XIaiKAAAQRDgdrvhcrngdrt33BZFsXE3aLlM1qnr16mGlK7TYhsM9i742eEgC0y9lVRRgFu3gBs3aHzJJJDLUaxbA++Vcw5N16EqCiqKAqVSQaVSqd1WFAV6NbbSXRW+Ho8HgUAAiUQCHo+nLdeiPxCAJElIDlKG7V4wRi7iVMqyTMVYJ9ojqSrNezY2PcIWYzb3EgoBy8uWnc4wDEiyjJmZGcvOCc6HZvIsyjJ8bbhbGWMQRfFAa4umaahURUS9YKtUKrX4JPNcLperdj6XywWn0wmxUoGYzUJcXoYjHIYQCsEZiYB1qARK27hcZJkDYKgqtLU1GLdvQ795E8rUFLRwGKrTCU3ToKoqFFWFqihQVRXVSjYQnE64RBEutxvuqnANhkK1253qxgBQRuXa2trhDxwEzHg9i4jEYpi/cQNjo6PWWX0NY+Cybm2GC1uMNQFj7BiAjwA4B2BH0Azn3EKl0WMCAdrRGsaecT3NksvnEQqFrJs4zdIKQzB5GoYBznlHF3aA3JhOp/NQt5dhGFAUhYrzlkrQUilgZQV6LocKYzAUBXIigcrSErTbt2vCxcThcMDhcEBwOiFUbzscDjDGwBjb83a9K1NVVSzVbwQ4B+e89jntddswDOi6Xjt2j4kxBqfTCY/bDV8qBaFchsAYnJEIxMlJBGMxiFULoSiKvavLVYfH40Gl6oIeeCyeT0RBgMvlQrFUsqZ4tFnsdQjmE5vBxRZjzfFpUJPwnwYwGJ2HW8HpJHeOLFsyQVna/gggN9nY2FC0LSmVSvD2URKCw+GARxDg2dykODBdJwvTxARZI7NZ4LHH9nX11QsjwzCgGwZ4VTDtJ6Z2wNg97r17BJzDAWbe73DURF+9ANyTUgl4/vntshzFIsW75XLA5CS5MvtAiAGovVdN0/ork7YVnE66hiyaTwCL2yMVi1QiZwjmE5vBZcB/5V3nAQCvHZpq+weRSFBGXJuTneXtjwASCFZV8e8xfdUGSdNInCwukhUjFNoZdF0uk2v4AHFgWsJaLT66vLxcaz1lOR4PWUBUleLIfD46NA24fZtc87OzdO33gSgzg/hDw1CINJGguDGL5gFL2yNpWs2lbWPTK3o/4wwWXwPwSK8H0RUsCrbNZjKIWjnRmQvp7tIKA4osy/D3+r0YBomwCxcoI9HvJ7G723VaqQDVBuoDCWM0/uIuo7ZpCXa7gZs3yXqWSvW8n6Wv2qNyKIhEtl2VFmC2R8oXCu2dyGyp1i8bIpsji20ZOwTG2Ifq/rsA4C8ZY58HsCMilXP+gW6Oq+OYMRRtVi1PpdM43kiB0EaRJGBuri8sF1YgyXLnLEGHwTmQyZAAK5dJ4B5k0TKMwe/dF4kAS0t7/00UyUJSqQAvvUTv9dixnmWJBvx+bKVSPXlty3E6gfFxEv0WfZ5me6RIO4k8pRJ95/2aiGJzZBiOFa2zTNcdfgDPABB33T/ds9F1ktFRmqxapFypQHA4GmqU3RDmrrquiv2gUy6X4elF1W9FISvQ1askbKPRg4WYWddt0CuU+/208Gra/o9xuykDUNeBS5eoRMZBj+8Qfr8fsiR1/XU7xsiIpZ+j3+dDqVSC2k77tkplqOYTm8HFtowdAuf8h3o9hp4Ri1EsTYvV+FOplLUuymKRgqytEnc9xqzC3tWelJyTC+7ll+n/jVYyl2Xg1KnOjatbOByUjLCycnhpFK+XxOfGBsVPnjzZ1XIqLpcLqqaBcz44fUsPwu8na2O5bImoN9sjZVttj2QWoh2SEjk2g41tGWsCxlh6n/s3uj2WruB2066xhbgVs/1RxMqq1opCWZRDgizL8HUznd60hl27RkKjUXeRuWgNSdIEksnt5uSHwdh20sLly123krlEsVa4dyiYmmrL2r6bWDyOTKuuXEmiLFrbRWnTB9hirDnu8eMwxkQAw/trHh+nRbxJpGohU0vbH/l8QxO4D6C77W7SaQpMz2TIGtZMtqMkkQge9BILJmarpt2B/AfhdtNzNjaAF14A2g0cbxD/MAXxAyRsD3MTN0F9e6Sm4JwE+aB3OLAZGmwx1gCMsb9ljH0NgIcx9rX6A8B1AH/f4yF2jkCArChNTnaWtz+SJGB6eqhqAUndyKTknALWr14lEdJK8LSuD3YW5V6Mjzd9Te+wkl26RO2gOow/EBguMSYI9Du2UMzG4nGkM5nmnmQG7g96DKTN0DAkW92O89sAGIBXAni67n4OYB3AV3oxqK7AGE2eN282nFWp67q17Y/KZYo3GbJaQLIkYa6T/TU1jdxqGxvkYmwlA7VUIgEybNXJQ6GdNceawe0mQXbzJlnXZmc7lt0b8PuxvLLSkXP3jJERqummaZZYWyPRaPPtkcpl4MSJtl/bxsYqbDHWAJzzTwAAY+wfOOfX2jkXY8wN4NcAvBFADMA8gJ/jnP/FrsedBHAZwOc4529r5zXbxlzIzdihQ8hb3f5IloEHHxyachYAxdSpmtZycdRDKZepmXex2HiQ/l6USlTeYdhwOCh+6dat1mLhBIE2B3fv0md08mTzoq4BfD4fSs24UwcBp5ME7MsvWxKHWGuP1KjbX1FIUA9DMV2bocEWY4fAGHs75/z3q/99DWPsNXs9jnP+Ow2e0glgCcA/B7AI4LsB/BFj7CHO+ULd434VwD+1NmqLcTpp4VpaojpNh5BKpzFhVfujYpEsM0OW8aQoCtydygrN5ylI3+Fo6Pval0qFXNRD9tnXSCSo20CrFhrGSJDl8+S2PHPGcguiIAi19lFDkVFpkkjQfKIolmRHx+JxpNPpxsSYJAGnTw/V5s5m8LGvxsN5a93tt+9zNGy54pzLnPMPcs4XOOcG5/zPANwGcN58DGPs+wFkAXzZgvFbg9kL8pCaPmb7I8uyBEslKvI6TAsROtgGKZOhrD+Xq/2q4pJEVrFhXbScTmBmhsRUO5gWlkuX6DOzGK/Xi5KFGYh9gSDQ79qi2LFwKIR8oXBvr9PdmBuMIQt5sBl8bMvYIXDOv7vu9rdYfX7G2CiAUwCuVP8fAvAhAN8G4AmrX69lnE6aPF9++cCJLJNOW1dbTJJoBz3oVd/3QJZl+KwWY6kUVY4Phdp3mRWLdB4rS5P0I8mkNRYas1vF5cvkUrfwmjUzKrtaBqUbxGKUIGRB3bH69kgHVuSXZeDs2eHdYNgMLPYV2QKMsRHG2PH6o8XziAA+BeATdbFoHwbwNOd8n54t26iqinK53MpLt0YySbEWB5S6SGcyiFlRj0rX6XWsSgLoMyRZRsBKMba1RUIsHLYmdmlILZL3IAhk/bPCQuN2k9Xl8uX2rW11+AMBSMOUUWnicNBnL0mW9KyMxeNIH1RzrFQi8dfFDYYsy9jc2ura69kMLrYYawLG2HcyxlZAfSnn646bLZzLAeD3ASgAfrR63zlQYP9TjZwjlcvhJz/6UXz9H/8RhW7UPTJdC/u4YkrlsnXtj3I5mqiHzRpQpWilpSOdphgxs+xCu8gyWS2OSoBzLEYuXSs2NmZP1xdftMwFFxi2tkj1hMMUj5rLtX0qv8+Hcrm8f3ukYrErGwzOOTKZDC5fvox/ev55/NKnPw0AdkEzmwOxxVhz/CrIcuXnnDvqjqYqmzKKxH0awCiAN3PO1eqf3gBgDsAiY2wNwM8AeDNj7MJe5xmNxXD+Fa/Aj37sY3jvL/8yXnjhBWxtbYE3Ulm8VWKxfeuOpa1yUcoyuXmGqNp+PWZAtmBFQdxMhmqIhULWCDHDIFEypBbJPTEtNFZZn0xBduWKJTFkHo+nuxbwbjM9TS7iNt9jrT3SXjXHzA1GB5NRDMPA2toann/+eaytr+MPvvY1/Mxv/Abuo9+SbR6zORBbjDVHFMBvcM7bjab9dQBnAHzvrnP9JoA9cs0KAAAgAElEQVQTAM5Vj/8XwBcAfMdeJ2EOB971pjfhuU9+Ej/7xBM4deoU0uk0nnvuOaysrEDrRNsWhwO47757XAuWtT/SdRJ69903tHEdpVIJXq+3/RPJMrkmg0HryioUCmSpGKJOBw0RDlN8olUWZrebjqtXLREZDoejM7/nfsDppNIgFrgr93RVmiEPc3NtnXs/VFXF4uIinrtwAcViEWfPnsWZ++/Hk29+M77xiU/giTe9CaCalDY2+zKcq13neBpAW43DGWOzAJ4Eia01xphUPR7nnBc552vmAUACUOacbx50TofDgZmxMfh8Ppw6dQoPP/wwNE3D8y+8gPn5eeszsUIhWrDrFi6p6nZru/3RkLsnAYsyKRWFhJjHY13j9Eplu4zJUYMxuu4MgwrBWoEZlH7jRtvtf3w+H4rDVm+sHovclZ5qYeod7ZE6NKcUJAnXr1/HxYsX4XA48Mi5czh+/Dg81e99ZmwMjiHdUNpYj51N2RzfBOA/M8beC4obq8E5f30jJ+Cc3wFV82/ksR9sdoAAIIoiZmdnMT09jVQqhevXr0MQBExOTiIajVpTr2hqirL3KhXA7UY6lUK8XRflkLsnTWRZRqCdbDtdpwXeMNovX2FiGGSZeMUrhqcHZbO43VSV/fr19grl1hMMAtkssLBA527xt2e2RQoNcxzf9DTNKW1mV5o1x8bHx2lOCYeB0VFLhmgYBlKpFFZWViA4nZicmMCpU6eGqwacTU84orNuy/x29RgIHA4HkskkkskkJEnC3bt3cevWLYyOjWFsbAxiO4uu6Vq4dAm6ILTf/qhSIZFx6tTQuidNJFnGWDuC884d2u1bWSvJdE8O82LfCIkEJUTkctaVpwiHgbU1ssxMTLR0ioDfj62DMgWHAacTuP9+4OJFut3i/BSJRnHz+nWMJZNgigI88EDbc4qiKLh79y42t7YQi0Zx+vRpa0INbGyq2GKsCcy2SINIIBDAqVOnoGoa1tbWcPGFFxAKhTA+Po5gq4tO1V2Zv3atvfZHur5tlTkCjXsr5XLNldE06+vUgsdKIXaU3ZO7YYxii55/vrW+lfudMxKh1kteb0stgPx+P+7cudP+WPqdQICq41+71nI/VVEQ4Ha7UVxbg//BB+kzbwHOObK5HNZWV1EsFjExMYFHzp2D86hajm06in1VNUE1C/JdoKr8Cc75Kxhjrwcwxjn/o96OrjFEpxPTU1OYmpxEJpPB4uIiKpUKxsbGkBwZad5aNjWFzLPPtm7p4ZzcOCdPHgmrjKZpEAShNeEqSdScOhKxLj2/XgjbiwzhdlMCybVrJHqt+KwFgSxt168D5841velwuVxQhzWAfzeJBGXzLi627C6OezxIqyr8LbgnVVXF2toa1tfX4Q8EMDExYW2vXRubPbBn3+b4EIBvB/DfQZmOALAMqgs2EGLMhDGGWCyGWCyGSqWCtbU1vPDCCwg3aS1TOUduYgLHGWvNkpDJAJOTlsV09DvFYrG1+mK6TkLM52uoWXtDmEL4xIkjIYSbIpEgS+HKinVWSJeLrJC3blEfyyYXd5coolKpwF0NUh9qpqaoSGsm03w5inIZoWAQ87qOSTSWpbbbCjY6OoqHz51rL5TDxqYJ7CutOd4J4BHO+RZj7Ner990G0FIF/n7B7XZjdnYWMzMzTVvLNjY2kJiepkDyq1fJatOoWMjn6fFHqKZVy5mUKyu0OFnR3cAkm6VkiSFPmGiZmRkqFJrPWydWg0EKUt/cBEZGmnqq2RbpSIgxh4M2CZcuURB+o78ZTQOKRTgefhjhtTVkMhnED7CuKYqC9fV1rK+vI2BbwWx6yHBHSluPACo3AWzXjQnU3TfQmNayBx54AA888AA0TcPFF17ASy+9hHQ6vWcx2Y2NDYyMjJD1YG6OFvhGis4WCmRFO3nSOkvPACDJMvzN1vCSJOqfaGXBSkkiYXDs2PC3PGoVh4OuT1EkIWwVkQj1eG2y/pg/EIA8zOUtduN0kgXRMBr7/A2DEi9OnwYCAYyOjGB9fX2PhxnY3NzE5RdfxJUrV+BwOPDwuXO4//77EQ6HbSFm0xNsMdYcfw7glxhjbqAWQ/ZhAM/0dFQdwO12Y2ZmBufPn8fk5CS2trbw7HPP4datW7V6R8ViEUI1WBbAtrvxsL58skwT7QMPWFcja0CQJam5npSme9LrtS7L1BQBp04dKSHcEqJIGX7lsnX1xwSBjlu3Gtu4VBnqtkj74fVS43VVPVy8ZjJUHiORAAAEg0EUi8VarF2hUMDN+Xk8d+EC8vk8js3N4ZFHHsHk5KTtjrTpOfYV2Bw/BeD3AOQAiCCL2F8BeEcvB9VJGGMIhUIIhULQdR2pVArz8/PQDQNOQUAymax/MFlaSiWyfO0VdybL9LizZylQ+gjBOYeqaRCbiauz2j2pquR6e/jhI/f5t4zPR4KsWTf8QbTgrhz6wq/74fPRxu3FF+n/eyU/5HIkwqana3eZlv4b16+jXM1gHhsbw4njx+1irDZ9hy3GmoBzngfwJsbYCIBZAEvVSvlHAkEQMDIygpGREZTLZVy4cAGKoiCVSmF0dBSxWAyC00lugitX7o31kCRayM6ePRIlLHajKArczVgCSyVyT7bbYspE08hqefbs0Wt31C6xGGVYzs+3XHLhHsJhso5Fow0lvgiCUOtreuRcaYEAWciuXCFrYn25ilyO5plqCzVV07C1tYXNjQ2oqgpN0/Doo482twmyseky9vagARhj72eM1dL9OOcbnPN/MoUYY+zXeje63lAulxGNxXD+/HnMzc2hUCjgwvPP46Vr15CWZRhnztADzebLphB74IEjKcSAFoL3l5ZokbZi4dd1WrTOnLG2RtlRYmwMOH6c3GFt9lAEQK56zoHV1Yaf4vV6rW9vNigEAsBDD9GmwpxXCgXA54N+8iQ2MxlcuXIFF194AZVyGSdPnsT58+fhdruh6Xpvx25jcwi2GGuMDwF4njH2zfv8/W3dHEw/sL6+jrFqOYpAIIDjx4/jsfPnMTE+jlQqheeuXMFNjweSJIGvrJAAe/DBI+0ak2UZvkbFmCSRC8sKC5amUWLF6dPWtfk5qkxMUKKKVYIsGASWl6nkRQOYGZVHFp+PBJnDAWNpCXlFwXWHAxdefBH5fB4zs7O1DaJZIX90dBQbewTy29j0E7YYawwZwP8J4AuMsZ/Z4+9Hymeg6zryhQIiu9xnjDGEw2HakT76KOKjo1gzDLyUTuNlVUW2WNwzI/OoIMly48H7i4skXNt1R6kquSbvvx+oj++zaZ2pqW0LWbsWF0Egy+fKSkMP9/v9kI6wGDMMA+lSCfOVCl5Kp7EFYHRiAo+dP48TJ04gGAjc48JNJJPY3Nw80nOPTf9jx4w1BuecP80YuwDgs4yx1wB4ZzWGDNguc3EkSKfTiB3ScNyhqogZBmL/7t/BiMeR+dKXsHnjBm46HIiEw0gkk4gcsTTyoiw3VvA1n6eFvl13YqVC7hzbNWk9ExMklF9+mWqQtROPFAySq3J8/NDWPX6/f89yDcOMYRjIZDLY3NxEQZIQNwwkTp5E+F3vAltcpGxjTdv3OxCdTvh8PkiS1HrrNxubDmOLsSbgnD/PGDsPyqh8jjH2Zs75pV6Pq9usra/j2Nzc/g+QJEBRgFe/GojH4QAQ/67vQvzSJRgbG8iKIjbW1zE/P49wKIREIoFIJDLUGU6cc3DOIRyWicc5sLDQcj+9GrJMVpuHHrKr63eK8XEqzXL9OrnhW/3OHA4SEouL5Eo+AK/Xi3KT9ckGEU3TkMlmsbW1BUmSEI1EMD4ygtORCNjUFMWeOp1UniUQoObiweC+38Ho6CjW1tdtMWbTt9hirEk45zkA/5ox9l4Af8sY+4lej6mbqKoKVVEQ2CuWyTAoXT8YBB57bGcmpdsNPPooHDduIHbrFmInTsBwOJDL57G1uYmXb92C3+dDPB5HLB4furo/xWKxFsNyIIUCHe1YsnK57Ri9I5os0TXicerree3a/uVcGiEQALa2qOr/AdcJYwwOhwOapg1dw+pKpYJ0Oo2tVAqVchnRaBSTExMIBoNgqgqk02Tl3V2oeGKC5poLF6hsyx79RKPRKG7dvg3DMIZ602czuAzXr7lz3ONL45z/AmPsHwB8BkAL/W0Gk42NDST3qosky3Tcdx/F0+xlARIEmkyDQeDSJTjCYUQjEUQjEXDOIckyUltbuHzpEhwOB+KJBBLxeGMips8pFouNZVKurrae5KDrFKg/MkLfwZAt1n1LIECC7MYNci+30sidMfp9bG4e2h7MrDcWGnCLJ+ccsiwjlUohnU6DMYZ4PI4Tx4/vdOfLMomsV75y/5ps4TDwuteRy/L2bfoO6jYiDocDkUgE6XQaiWpRWBubfsKerRvjyb3u5Jx/lTH2KIB3dXk8PWNjYwNnz57dvsO0hvn9wGte01jLnqkpevyzz1JcUzV2LBgIIBgIYG5uDuVyGel0GvPz81AUBdFoFNFYDOFQaCB3tpIs721NrKdcJutIKwVeFYUsM3Nz1AnhCMXi9QUuF2007twB7t6l30GzYjgQoOdOTBz4XH8gAFmWB1KM6bqOXC6HVDqNXDYLr9eLeDyOBx98cO86YJkMuXBf+9rDrY6iSDX0Rke3e1rWWcnGRkextLRkizGbvsQWYw3AOf/0AX9bBbVEGnruaX8kSbRjPcgath/RKE2wly8DGxs0adYtQB6PBxMTE5iYmKjFj2xubGB+fh5ejwexWAzRWAzeAXHDyZJUKwWyL1tbFD/UjJDinAL+za4GdqB+7xAEcqEFAlQc1ulszm0pCNvWzQMEQ8DvRyqVsmDAnYdzjmKxiHQmg0w6DUVREIlEEI/FcPzYsf1jKBWFhNj4ePPdOuLxnVaycBjwehEIBGrtkYYtDMJm8LGvSJuGWV9fx+joKFlw8nlyBZw713oDa5+PXA/Ly9Rqxu3eM9jc6XQimUggmUiAc45SqYRUOo2bN25AURSEq5N7OBw+PEC+R5Sq7Vj2RdfJKtJMXTHTGjYyQhaxI9bnsy9hjL6PUIgyLVOp5qxkfj/9HuLxfUW53+/HnTt3LBy0taiahmw2i0w6jVw+X9s8nTx1qrHNUzZLFvdHHyUrVytW3nor2ZUrwMYGWDiMZDKJrc1NjI+PN39OG5sOYosxm4bgnCO1tobp2VkSDo89Rrv3dt1hDgfFyMTj1HtuDytZPYwx+Hw++Hw+TE9N7XB73Lp1C06nE5FIBNFoFMFgsC9cmpqmQXA4Di7jkc9TTbBGLCn11rAzZ+xCrv2Ix0NiYGODRFmjVjK3mwLVZXlfYe5yuWrNr/sBXdeRz+eRzWaRzWbBOUckEkFyZAT33Xdf47/BemvYmTPWJJ+YVrL1deDaNYwyhmsrK7YYs+k7bDFmcziahvzCAkKiCOdjj9Fu02qR4/fvtJKJIlkUDhF7giAgFoshVnXPVSoVZLNZrK2t4cbNm3C7XIhGo4hEIgjsURCyGzQUvH/3bmOlESoVcg/b1rD+hzH6rYTD21ayYPDw70wUScQdYCV1iSIURYGrB9+/YRgoFArIZDLIZrPQNA3hcBiRaBRTU1PN94A0DLKGAe1Zw/bD4SCBl0zCc/cunJ//PErLy/COjdlJLjZ9g30l2uyPmSEpilgOBjHy+tfTpNYp6q1k8/NUldznayruxu12Y3R0lNypIPdgNpPB8vIyJFmGx+NBJBxGOBxGIBDoiuXs0DZIqkrlKA5qCK4oJMJ8PipZYVXzcJvOY1rJtraohpwkkRtzPyHg81FW5dzcvpsesy1SN8SY2XEjn8shl8uhoigIBYOIRCIYHx/fjiFtFs7pulcUYHaW4k47GQPqdAIzMwj+y3+J1YUFHM/lSAgGg3YJGJueY4sxm52YDaU1jYLsz5yBHg5j4+tfx9mxse6Mwe8HHn6YgqGvXycXQyCws25Zg3g9HnjHxzE+Pl6LN8vl87h79y4kSYLT6UQ4EkE4FEIoFOpI7SZJlpE4yJUoSfTvXtYATSOXpNtNBUFjMeutkjadhzFqRxWLkdBaXKTvNhS6N/FFEOhvxeK+1jF/IABJlhFtJfP2EFRVRa4qvPKFAgxdRzAYRDgcxujo6MGxj41SKND7m5ykBKAWftutMjE7i68vL+PYa18LtrVFVsuNDbJYhkL278umJ9hizIZ2qGYtH0EApqep/ETVIrV+9y5GR0e77+ILhch1mU5TUc31dRpTIy2F9qA+3my8KiwrlQry+TxS6TQWFhYAAMFgEMFgEKFQCF6vt+33LUsSZg+qHbW1da/rStNIpDkcwIkTtJD3aXKCTRMIAjA2RvGWa2skyhij67r++xUEct3tI8YCfj9WGuxneRBmra9CoVA7HIKAUFV8zczMNO923P/Ftq3tySS5JHtQnkMURQQCAWQlCdHxcfo+8nlgaYnCJAASh16vXSLGpmvYYuyoYi72ikILfjJJrUUSiXt6vC0tLeHMmTM9GijImvDP/hmJlvl52sWK4t5WhSZxu91IJpNIVptoq5oGSZJQyOdx69YtlMpluF0uBEMhhKoCrZnFiXMOVdP2dyfp+nYsEUCCuFwmcTY7S7FhdlzL8OF00oZnZIRE2eoqXQte73ZrpY0NeswemIVfm6VSqSBfKKCQzyOfz0PVNPh9PgRDIYyOjuLEiRPWZyRrGlnbdZ3mmYce6nkJlunpaSwvL5NlkTGK6wuHgZMnaZ65e5f+Bcgq7ffbmyGbjmLP8kcFTaNFvlymOAlRpOKSZoDxPgt+pVJBpVLpfYFJ082TTJKLY3mZrAqcWxrzITqdta4AJuVyGYVCAdlsFotLS9A1DT6fD4FAoHbsJ7YURYHrIPEmy9slKnSdvosTJ2x3yVHB5aI4yYkJsoTdvUuWYFGkZI1yec9rWxAEGIYBzvmellvOOSqVCiRJqh2lchkuUUSo6pKfmprqbMxZqUTXtdNJIQdm26I+IJlM4urVq/e2R3K7yXU6OUm/y1yOhPLaGv0+HQ76Pjwee5NkYyn21TRsaBodqkqTuWGQkHG7aTcai9FCHww2tNivrKxgcnKyCwNvgmCQUt/vu49cl7dukRVBEGiytzgY1+PxwOPx1KxnpmtHkiSk02ksLi5C1TR4PJ4dAs3jdkOW5b0zKU3L5O3b9D3NzJCVpEUXrM2A43SSVTqRoOtifZ2Klt66td2xYpdlxuPxoFQqwev1olQq7RBeFUWB2+WqXYsjIyOWuNwPpVym8RsGzTOPPELvqc+Ei8PhQCKRwMbGBsb2i4V1ubY3gA88QK7MQoEs2ZkM/W7pZDTniCK9T9uCZtMC/fULsWkOTaNg4HpcLnJxRKMkvMzA9xZ3wCsrK3jlK19pwWA7gCjSQjU5uT1JrqyQMGOMhI3PZ3ncB2OstsiZcM5RrlQgFQqQCgWsra6iXKlA1zS4PR4sLy/DL4rwA3AxRt/H+DhN6KdO9Y3FwKYPCAToMAu/xuPA+jq4pqGi6yg6HJAVBaVyGZcvX4YgCLWNQCgUwsTEBNxud3diPA2DXOulElmpIxHaKJlzTx8zPT2Nmzdv7i/G6hEEmlOj0e3eoeUyvXdJImumeVtV6bOwsWkCW4wNMj4f8OpXkygxDwtdW4VCAaIoWpM91UkYo114KETukFKJdq4rK9txH8C2e8GqgOQdQ2CUuWla0HQdKJdx/dIlREURPJdD2jDwst+PoscDIRBAsFJBcmMDbqcTXkGAp1sLqE1fwzlHuVxGUVFQSaWwGY8jL4pAqYRAuYyILMMvCBh3OqEJAuZOn6bruhtubUWh35ei0P8dDrJ83X8/udj7fa6oIxwOQ5ZlqKraWpKCOZ/EYjubuxsGCbL6w8bmEGwxNsg4na01lW6Q5eVlTO0TQNzXeL10TEzQRFi/e02ntwtMArTjdTp3Ho0sapyT4DLdwuZhuoWdTiAWQyaRwH3f+q0QgkGM1hV1VRQFhbt3oQJIZzIora6iUi5Xh++lw+eDr3pbFMUjLdQ++6Uv4fe/8AU8d+0acpKE07Oz+Jm3vQ1v/c7v7PXQWsKM6SqVyyiXSigWiyiWSrVrwOPxUOavrmN6ZATBs2e3BQPnQKkEaWMD8xcukCDIZul6BLavv91HIxjGzutZVek+E7+fsg9jsW3Lc5+5IBuFMYaJiQncvXsXs7Oz1p3Y4aCwkFbrr9kcSQbzV2TTcTjnWFtbw6lTp3o9lPYwK/mHw+TOBLYFWqm0/a95FAo7Fx+AFjfT7WDeNl2NPh9Z5EwB6PHQfR4POIByPg9hZOSeYblcLsQ9HlrYqrFoAFU3L5fLKJVKKJZKWF9fR6lUglrdXbvd7loMW/1hWfmBPuWXPvUpHJuYwFM/9VNIRCL4869/HT/w/vdjK5vFj33/9/d6ePfAOYeqqiiXy/ccStWqZH6XXq8X0WgUE5OT91pHNzdpUa//fqsueP/sLLILC1T+pSrQatm49dd1sbhtyaLBbZ+n3p3GGG1OvN7t0g711/QAC6/9mJ6exoULF6wVYzY2LTBcvywby0in04hEIn3beLst6gXaXmgaWRk43z7MBZIx2vmK4qGxaFKhcHAbpEzmnlg+h8NRq4W2u0ysaU0xF3VZlpFKpVAul6FVexU6nU64PR64XS64XK7abbfbDZfLNbDWtWeeegqJugzXb33lK3F3cxO/9OlPd12MGYYBRVFQqVSgKArKlQqUutt69bswXfzmEQ6H4fF4mvseGCOr7h6lIBhjcDgc0DSNihWbgmkvON+2cpnXtHl+8ziCwedmUkOxWITPTp6x6SG2GLPZk6WlpcF0UVpBM26dAygUCgeXBEmnm4qxYYzVFva94JxD07Qd4kCSJKSr5UmUOuuI0+mEKIpwuVwQRbF22ymKEJ1OOKuHIAh9IeASe7R/euT0afzJ3/xNW+flnEPTdWiaVjtURYGqqlBUdcdtU2QxxuByu7cFr9sNfzRaE79OKz8zj4cSU/YpGhwMBlEoFA6vxG9acm3uYWpqCktLSzh9+nSvh2JzhLHFmM096LqOTCaDhx9+uNdDGWjy+TzC+1nfdJ1coomEZa/HGKsJq4My2UwBoioKFEWBWhUgsixDrRMlmqbVBIh5flOgCU7n/8/em4c5ctX33t9TKu271OptZrp7Vs9m440BGwgkQAhLgEDIAyGBcEnChZCF5CZOeN8QPxBu4CY3cElCCNsNXEgI3EsSYjsbyRvANvbFBntsj2frme7p2brVraW0laSqOu8fR6VW96i7tZT23+d59LRaVSodSaVzvvVbYZMk2Gw2SDZb/fuSBDAGqWLBqXd/s2jhnG8QjeZjBufglbpa5v1vPf44bpqZQSKRgGEYMAwDuq5D13Vx3zCga9qG+5qmQdd18Br3nFwjPmtFqs/ng6NGpFoqshrF5RIW1C0IBAJQFKUjbZFGhampKTz00EM4dOhQX1x4EKMJiTHiBpaXl3vT/mjIUBQFe/bsqb/RFBw9+IwZY7DLMuyy3JRrxhQ7pqAxRY+m6zDM+5qGUuW+YRg3iChwXn0cnG8QRQCgFos4ffr0DePdLOQefeYZPPDww/iDd70LyWQSkiRBqohAm80Gh8NR/b/6uCm4+sTa1xCyLM4Vw6ibWBIIBLC8vNyDgQ0P1fZIqRSJWqJnkBgjbmBpaQlHjx7t9TAGnm3jUAYw3d0UPJ1MFnjsscdwyy23bLvPwtWruOcv/gKve/GLcc/P/3zHxtJXlMt1s/MCgQDOnTvXgwENF3v27MHS0hKJMaJnUL8VYgNm+yO/2SuRaAlN0yBJ0tYWmAEUY/1AIp3GK3/lVzAzOYkvfehDvR5O99jkujVxOp0ompXgiZaJxWJYXV2FsTmTmiC6BIkxYgN92f5oANkxeL9c7omLcpDJqype8773oVQu4/6PfxzemrptQ8824p0EWftIkoTx8XGsrKz0eijEiEJijNjAlStXRjeL0kIURdneuqiq1Ai8CTRNw5vuuQfnLl3CP37iExivU+phqNlGjJlB/ER7mFmVBNELKGaMqGK2P3JS5ei2URRl+553hcLQFdDsJO/56EfxwEMP4X/8l/+ChKLgkaeeqm677aab4Bzmsg2MrTelroPf74eiKNVG9kRrBINB5PP51tsjEUQb0GpAVLl8+fLW2X9EUyiKsn33gkJh5ApstsO/PPIIAOBX/+iPbth28RvfwNz0dLeH1D1kWVTR34JAIICFhYXujWdI6Vh7JIJoABJjBIAhan/UJ5RKpe0tjFuUKhhl4kkZzyzEMLtfRiysbdi28A//0KNR9QGb2xZtwiz8SrTP7t27qT0S0RNoNSAAAGtra8Pb/qjLqKq6s6vXbChOAAD++p/CmH3Nzfilj78as6+5GX/9z1RioApjN/ZLrUGWZRiVWm5Ee9S2RyKIbkJijABALkorURRl+0xKYNvFddSIJ2W880NzKBQl5FQnCkUJ7/zgHOJJMtwD2FGMAYDH40Eul+vSgIYbCuQnegGJMaLa/iga3dyammiFHctaEBtYuOqAw75RbNhlAwtXhzgov1l2sKJSRqV1TE1N4dq1a2RpJLoKXXoOI4YhUuHLZXG/0noGnItJ3bzZbIDdjusrK9T+yEIURcHevXu330mSRH9KAnPTJZTKG68Ly5qEuen6hU5HDvN3uw2mGJse5kSGLmG32+H3+5FKJhH2+cQ8qus7zqOw2yn0gGgZEmODjK4DV6+KhtP5vMjQU9Utq3UDqBsMnD59GnOHDgGKArjdgNcL+P3ir9tNWX9Nkslkdu5gIEnbBmWPErGwhs99YAHv/OAcJFaGwe343AcWbgjiH1k43zHZIxAI4PLly10a0BChaWLuzOfF/FcoAIUC9l65guSjjyK8b9/G/c35s15SBWOAwyHmTPMWCIh5lCB2gMTYIJPNAidPiisyWRY3rxcIBhs+RKlUQtHrhScaFRNTKgXE4+I+ICYYvx+IRIBwWBzf66UrwC3glUbYO2SSx9YAACAASURBVCZCSBLFjdXwllck8bITGTzwb/N41Uv3kxCrpQEx5vV6Keh8JzgXc2YuBySTQCIh/jczm805VJYRmp7G/Ooq5qJR0Zy+UTRtfR5dXaW2Z0TDkBgbZOx2oM1CjysrK4iNj69PRJvhXBScvHIFMGsZOZ3A9DQwPi6u/MhyViWXy8HbyJWw2w2k050f0AARC2s4NhdHLExlBTagaeJ82QbGGCRJgq7rlBFdi6aJ39nyMnDtmvAaSJKYO10uYGys7tMkAOFQCIlEAmNb7FOXreZRgtgBOmu6DGPMCeCTAF4GIALgPID3c87/sbI9u+kpbgCf5Jz/cifGE4/HcezYse0GLCYtl2v9sXIZWFoCLlwQQmxyUtzCYTHJjTANZVICYnGlq2aiETgXF0A7YNYbC4VCXRhUH1MsCsvX1avCym8Ywn3o8zUllCYmJ3FpcbE5MUYQLUJirPvIAJYAvBjAJQCvAvBVxtjNnPMFzrnP3JEx5gWwDOBrnRhILpeDLMtwNNtKxm4XwgsQcWtra8JyZrMBMzPA7t1i4htBGhZjLtfouSlNF07tTVXFOVRJNHFeuSJc4pK07jpyODa4kEbS+tDAb9QM4h9JMca5iPlaWgLM2Dm3e/1cagGf1wtVVVHWNNhH7Xwjug6dYV2Gc54DcG/NQ/cxxi4CuAPAwqbdfxLACoDvdGIsK5Usyraw2YSrMhAQi+rSEnDxopgE9+0Tf0fIbaIoSmON1ofZgmgYQmSpqojJSafF39qsQDP42RRdlcw0eyYjYnnMrDXDEOfV5hhFSRKxjIGAEP5ut7AeDWssYwPnSyAQwPLychcG00domrB+XbggzjOnE4hGLeluwRhDLBZDfGWFslSJjkNirMcwxiYAHALwTJ3NbwfwRd6Bgjecc6yurWFmZsa6g9psQnwBIkj2scfEFf3+/cCuXcMtQCrk8/nGYsaG6bPQ9XXRVSu8OBfv0+EQoqmBBdIws3l33NEQ8T9Xrqx3MzCTTYJBcfN6h6flVINi7Ny5c10YTB9QLAKXLokLP10X33u7F5Z1GB8fx7OnT5MYIzoOibEewhizA/gygC9wzk9v2jYD4cp851bP1zQNpVKpeTcjgFQ6Db/P17lgXzPrUtOA06eB+XngppuAqamhtZRpmgZJkhqr1zboYqxUEqIrHhfxOYYhvlenUwihTluoJOnGWEZToF2+LBZqm01YScbGmo4X6jsaOF+cTieKxWIXBtNDymUhwM+eFf8Hgx39Xl0uFyTGUCgU4N4hiaIeqqqioKodGBkxbAzw7DTYMMYkAP8LQAnAe+vs8jYAD3LOL251jNVUCr9w771488tfjuffdhtCwWDDhVuXr1/HxORkK0NvDlkWGZ/lMvDUU8C5c8CRIyITc1isFhUaqi9mYgroBgp69g2aJoTX8rKIzwHE+/D7++O73CzQDEOMd2VF/B8KifMuFBocYaZpQuA2+Pk6HA4Ui8Wde6MOGrousiHPnBFzSTjcte9wfGICy8vLmJuba2h/wzCQSCRw7do1XLh6Fd984gkAaC/tnRh6BmRGGi6YUEyfAzAB4FWc83ppdW8D8JHtjjMRjeLVP/zD+MOvfAXR++/HPW9+M2KxGCYmJuCqtRhsQtd1ZLJZ3NREPbK2sdvFQqiqwA9+INxWR46suzWHgIaD9wFhtfH7hbtlm++qL8jlhKC5fl2IR7dbCJp+F5GStJ5Iwrk4986eFZ/91JQ4H/v9s1fV9WSZBjCD+GNtlrzpGzgX596pU+ufRZetyrGxMTzxxBOYnZ3d9mI3n89jeXkZq2trCIVC+KOvfQ3X1tbwiz/xE/jTr31ttYtDJgYQEmO94c8BHAHwMs55YfNGxtjdAHZhhyxKxhh+6uUvx0+9/OXIFQpw2O1Yjcfx7OnTsEkSJicnEY1Gb3BFrq2tYSwa7U37I9Nykc8D3/0usHcvcPDg4LvtIMTYZDPWxkhEpN/3oyDQdRH/deWKsILJcsNxX30JY+tV0c3OFZcuie9gerp/35uqikSYBhkqMaaqwLPPCotYMCi+ox4gyzK8Xi8URUFw0wVsWdOwGo/j+vIybJKEiYkJ3D4zA5vNhk/+zu/Au+7apHYbxLaQGOsyjLFZAO8CUARwvUYQvYtz/uXK/bcD+DrnPNPocc0f/dTUFKampqpXaYuXLiEYCGBiYgKBQACMMSwvL2NfExN8R/B4xMJ4+bJwe91yi4jvGWAURcGhQ4caf0IkAiwudm5ArWAYonL4woJwB5nlAYYJm00s7pyL9jenTglBPDsr3ms/Wfw4b6pMTCAQwIJZnHlQ4VzMCU89JQRyBwLzm2ViYgIrKysIBoPgnCOVSuH69evI5XKIxWI4cvjwDd4IbwsxZsToQmKsy3DOFwFsO9tzzt/V7ut4PB7s3bsXc3NzSKVSuHr1Ks6dO4doNIpSqdRYxl+nYUwIMFUFHnlk4K1kpVKpuVgdj6dzg2kWzkV81cKC+D58PuFGHWYYE9+BxyPcxc8+K6wvs7NNtRTrKJw3dZ6YhV8HllprWDjcUH21bhAOh3H+/HlcuHABa4kEgoEApqenqxe4BNEuJMaGHMYYwuEwwuEwypqGs2fOQNM0PPHEE5iYmMDY2BjsvRY/Lpe4+jWtZLfe2lScTD+gqmrzQdPmItvrIP50WljoFEWIsAH77C3B6RS3QgF4+mkREzc729vixWbwfhPnlSzLMAwDnPPBEwkrK8CTT/aNNQwAisUiVuJxrMbj0A0DhmHg9ttuo5ZThOWQGBsh7LKMYrGI2267DbphIL6ygpMnT8LhdGJifLxufFnX2Gwlu/lmUcl/QGgqeN+k10H8qiqKZSaTwh054G5iSzDjynI54IknRJD/3FxvLDSq2pKL2OPxIJfLwTcoXTA4F+fh6dPi/fbYGlbWNKyurmJleRkG54iNjeHYsWMolkq4tLhIQozoCCTGRohcLge73V6tSzYzM4OZmRlks1nE43EsXroEn8+HifFxhEIhSL0IaHa5RLD4k08CmYyoTdaPgdWbyGQyzYsxQCz2CwvdFWNmhtr8vPishy0mzAq8XmG5TCaBVEoULu62WFVV4bZvEjOIfyDEWLksYvauXOlpuRtd15FIJLC8vIxisYixsTEcOnRoQ20xh8Mh2iOVy733JhBDB4mxEWJ5eblu+yOfzwefz4e5uTkoioKVlRXMX7iAYCCA2Ph4U/XLLEGWhZtiYUFYKG6+uSlXTS9QFAV79+5t/omxGHD+vPUD2grTGpZIdLxg5sDDmIghK5VEHFO3rWSGIdylTRIIBAYjbiyfF2VucrmeuCV1XUcymUR8dRXZbBbRSARzc3PbithYLIZ4PE4V+QnLoZl4ROCcYy2RwOzs7Jb7MMYQDAYRDAZhGAbS6TTiKys4f/48An4/YrFY9yxmjInFL5kUbsvbb+/rgPKmCr7WEggIQaTrne1MsNkaRi7JxnE4hPWwm1ayYlGc7y0keQQCAVy5cqUDg7KQZFK0S+vyuajrOhLJJFbjcWRzOYRDIUxPTTUciE/tkYhOQWJsREil0wj4/Q3HO0iSVA3855wjlU5jNR7H/IUL8Pt8iMViCIfDnRdm4bBou/Pd7wLPe17/ZLnVwDmHYRitxZJIkihAurLSufemaUKExeNkDWuVzVay6WkR4N8pAZ3NAgcOtPRUr9eLXC5n8YAsJB4Hvvc9cS52wT2vaZqwgMXjyOfzCIfD2LVrF/x+f9MW/3bbIxHEVtCsPCK00/6IMYZwKIRwKATOORRFQTwex4WLF+HzejEWiyEcCkHu1CLv84lF75FHgBMn+i7bL5fLtVcqZGICWFqybkC1FApCPJRKZA2zAtNKdv26cLMdPNgZF7qui56aLcAYgyRJ0HW9/4LNl5eBxx/veNmKcrmMRCKBeDwOVVURjUaxZ2YGPq+37ZCLiSbbIxFEI5AYGwGsbH9U68rknCOTyWB1dRWLCwtwOp2IRqOIRCLbtmNqCbdbWCcefVRYyPpIkLWUSVmL2VrI6hIX6bQQYrLclxbFgYWxdYvtyZOirZeVwfKatt7zs0XMemOhFmLOOoYpxCKRjtQSLBQKWF1bw9rqKjjnCIfDmJubg9cCAVbLWIPtkQiiGUiMjQCdan/EGEMgEEAgEMC+ffuqk+Hp06dhGAYikQiiY2OWXI0CWHdp/N//KwRZnyw0bYsxu10E8mez1izqnIuimRcuiAW9TwpnDh0+n0iIOHlSZP1aZXnMZIBdu9oS5mZGZd+IsZUV4Pvft1SImVb6tbU1JBKJ6sXg4TrV8K1ku/ZIBNEqJMZGgG61P3K73dizezf27N5ddRMsXbqEXD6PUDCISCSCUCjUnuukVpA9//k961dXi6Io2N1uTbTZWRFH064YMwyRhXrlirDe9JubatgwS7GcOiUyLXfvbt+6WS4LMdYGfr8fKysr7Y3DKlZXhUUsFGpbiJU1DalUCmurq8hks/D7fIiOjWFmZqZzYRJ1MF2VJMYIqyAxNuQUi0Vomtb19kd2ux0TExOYmJiAYRhIpVJIJBK4ePEiHA4HwpEIIuEwPB5P81Yzl0uIju99D3jBC3reaDufz7f/+UYiIvaoXG59wdJ1Eai/uiqsNORC6Q5mrbbFRXFezsy0/tkXCpY0xQ4EAjjfzZIpW5HJiKzJYLAlCy3nHNlcDom1NSSTSRiGgXA4jMnJSdzU7ZI7NYTDYczPz8MwjN7UYySGDhJjQ85KPI5YLNbTMUiShEgkgkiluGhBVZGsCLOCqiIYCCBcsZrZG7269XhEUPoPfgA897k9yxDUNA2SJLW/KEgSsG8fcPZsa+4uXRf1ylZXqYhrL5AkYYlcWhKCbG6uNUGmKKKMS5u4XC4Ui8W2j9MWxaKwiHk8TSU5mFb1RDKJbDYLn9eLcDiMo0ePVgtW9xqzzdxaIoFYi4kWBFELibEhJ76yguPHj/d6GBtwu1xwT09jenpa1DNTFCQTiWqrkVAohHA4DL/fv/1VZygkxMezzwLHj/fEEtRyfbF6TE6KljDNBvKTEOsPJEl8/maNr2YFmaYJq6hFi7vD4UCxWGy+Z6oV6Drw1FPiPe2QbKPrOhRFQSqVQiqVAiAsT7ump1sqP9EtJiYnsbiwQGKMsAQSY0NMLpeD3eHom6vJekiSVC2bAQi3aiqVwrVr13D23Dm4nE6EwmGEQqH6iQDRKHDpkghU70GqedvB+7W4XKLmWCLRuJvKMNZdkyTEeg9j64JMkppzWabTwN69lll5zSD+nljGz54V9cTGx2/YZBgGMpkMUqkUkskkNE1DMBhEKBTC7t27B6bVkN/nQ7FYpPZIhCWQGBtilpeXMdmDNiPt4HQ6q7FmgEhXT6VSuLy0hGwuB4/bXbWcud1uIc5iMRFA7fWK+10kk8nUbTHVMjMzwNWrjYkxzoGLF0mI9Rtm6YulJSHI9uzZ+TmcC2uShZXdeybGLl8WmbyV34UZ95VKpZBKJqEWi/D7fAiFQjhy5EhvLHcWMT4+Tu2RCEsgMTakNNL+aBBwu91wu92YmpoC5xy5yqR+4cIFFFQVHrcbgWAQIbcbvh/8AOxFLxI1ybqEoig42EIz5y0JhdZrWO2UWXntmhBuVMy1/zBjyBYWxPm4kysrlRIZlBYm2gQCASwuLlp2vIZQFBgnTyLjcCC9tIS0okBVVXg9HoTDYRw4cGCoKtfHYjFqj0RYAomxISWVSjXV/mgQYIxVm5rv3r0bnHPk83mk02lcXlmBurwM6coVuO66C9GxMYTD4Y6/f8tjchgDDh8GHn54ezGWTArrQyRCWZP9iiQJcX32rHBBb/V9GobIom2x/dFW+P1+KIpi6THrUS6XkUwmsbaygtK3vw29VIJ3fByBYBAH9u+Hy+Xq27ivdqH2SIRVkBgbUpaXlzHZYvujQYExBq/XC6/XK65MjxxB8dIlJLJZXC2V8Mwzz2zosbnBtWkBxWKxM/F4oZAI5k+l6lfOz+dF0oLfLxZ8on+RZWEZe/ZZ4JZb6mcVJpMiVqyFpuDbv7QMwzDAObfsnDet08lkEslkEqlUqppZOJ7JILR7Nxxt1kgbNCYmJnB9eRl7qT0S0QYkxoYQTdMsa380aDinpjCVSGCq4q40r9qTySSWlpZQKBTgqbhMwpXEgFaDbztagfvgQeDBB2/MrCyXRcal00mV9QcFl0u4nc+eBY4e3ViIV9PEd9yhhdzj8bRVB89MqDF/Q6qqwlspNTE9PY2jR4+KYquKAjz0kLiIGDHM9khz1B6JaAMSY0NIp9ofDQR2u1jsTp0Cbr8ddrsd4+PjGK9kdZmuzWQyievXr+P06dPQdb2azRUMBhEIBBqq5q0oinVlLTbj94vA7+Xl9bZPhiFKWJTLfdF5gGgCn09YwBYXRT05k1RKuCc7VLjYDOJvRIyVy2Wk02mk02mkUilkMhnY7fZqwszs7Gx9V5xZxsLjGcmOD9QeibACEmNDyMrKCvbv39/rYfSOUEiImKtXb2grU+vaNFsYGYZRrXO0tLSEdDoNwzDg9/urTdGDweANLklFUTDXSdfEvn0iM03XxSJ3/booe0GZk4NJKCTOyWBQJF2Uy+J7nZnp2EuaYmxqamrD46qqVoVXOp1GLpeDLMsIBAIIhUI4ePBg4zW+FhaEZaxOGYtRgdojEe1CYmzIMNsfeSyOPxk4IhERpzM+vmN7IUmSEAqFNjRVNgwD2WwW6XQay8vLOHv2LEqlEjweT9V6lkqlOttmyuMR7sqzZ4VlZWGhfgwZMRgwJiye8/PibzIJ3HabZY2z6+Hz+bCwsIDLly9DURQoioJCoQCn01m1Bk9PT8Nbr4ZfI+TzrXeNGCLC4TDmL1yg9khEy5AYGzL6of1RX2C3C4vS0tJGt1CDSJKEQCCAQCCAPZU6UbXZm5lMBoVCAQ8//HDV2hYIBOD3+xEIBFrruVmPuTlhTTl5UsSIjaAbaKhwOABVFW69O++0LMbKMAzkcjlkMhkoioJMJoNcLgfGGHK5HGKxGCKRCPbu3WttduOFC3ReQljcI9QeiWgDEmNDRj+2P+oZoRBw7pwopGlBTE6ti9O0mp04caJqRTOrii8tLSGfz1f3N8tx+Hw+eL3e5hIGbDZRr2ptDRjwmnFEBbdbCOwWypKUSiVks1lks1nkcrnqX0BYwcyLgd27d1etXd/+9rexb98+68u8ZDLiYocu/gAIV+UCtUciWoTE2BCRzWb7vv1RV5FlsdgtLIjaXRZS2wap1oq2qyZGTdd15PP56uK5urqKbDYLTdMgy3JVnPl8Png8Hng8nhuFWjYr4saOHxd/KV5s8FEUUebi/HnR/mpTuYtSqYR8Pr/h3MnlctB1HXa7vSrsI5EI9uzZA4/Hs61rzOfzIZPJbHDDW8K5c2Lso5goVAcftUci2oDE2BCxsrIycO2POk44LFoGzcxYWsepkZ6UNpsNfr+/bsZluVyuLrLpdBrXrl1DPp+HpmlgjAlx5nYjdPYs3ACckQhca2uw5fOW16MiukgmAy0chhoIoHj9OvLf/CZSMzPI5/NQVRWcc9jt9qo49/l8mJiYgNfrbSjDtx5mEL+lYiyVEkkyIxy0Xw9qj0S0ComxIWFY2h9ZjiSJ+LH5eeDmmy07rKIo1WzMVrDb7dVaZ5sxDAOFQgH5hQUYioKU1wt1aQklVYX37FloXi9klwt2ux12ux0Oh2PDfdlmG82yJj2Gcw5N01AqlVAql1EulVAul6v39UIBUrmMwqFDcC4tweVywbOygukjR+CuVKrvRPB3IBDAysqKdQfkXNS6o4uCGxgfH8epZ58lMUY0DYmxIWEY2x9ZRigkXHz791u2gLRTSHMnJEmC1+2Gd3VVZFPWxrsdOAB+5gzKfj9KmoZyZaHPZrNi4S8Woes6ABHjJtvtkGUZsizDXrlvr/xv3uicqQ/nHLphQNO06q2sadDK5fXHKvc55wBEzSm7wwFHRRh7vF6E7HY4bDbIuRzY8ePrdeMAEXe1tiYq8HdIQAcCAZw/f966A6bTIhOUrGI34HQ6YZMkao9ENA2JsSHh+vIypkaw+nVDMCYsZNeuCUHWJpqmQZKkzlqfrl0TZQM2L3jj42D5PBxXrsCxQ/yYYRgol8vQdB1auSyEhKZBVdUNj3PDqD6HSRJkmw0281YRa7LNBkmSINlskBgTfyUJtsr/zGaD3OnPpEEMw4DOOQxNg8E5DMMQN12HwTl0XQc3DGi6Dl3XoWua+Kvr0CrbTKTKZ2Cv3GyyDIfdDq/Hs0HQbmvR4lzUh9u/f6MQA0SJi+Vlsb1D5SGcTieKxaJ1B7x0qX5bJwKAsI5ReySiWUiMDQGapiGXzVLBwe0IhUTs2Nxc22n4mUymc5X3AdEi58yZGxduk5kZoFAQFoptvnNJkuB0OtHMsmmKElOY1IqVUrkMo1jcIGwMXRfixzDAK30Qt4MxBiZJYJX7mymWSjh79uwNjxuV4zb6GpuFo02SwCQJtprHnQ7HDYLTVhGZlpJKiUD9rS6W/H7h9rv77o5YxxhjcDgc1jS1V1XgyhXKoNyGsbEx/IDaIxFNQmJsCFhbW0N0bIx++Nshy6Li+dpa2+6VRoL32+LKFaBU2lpoSZJoofPUU8J6ZmHsjmkR6wSc8+rNEA/csM/ZM2ewt15dOMYgAZ23SFpNJiNaV83NbS20PB5gZUXcOpSAYwbxt12D8Pp1cf4N0nfQZcxMaWqPRDQDlQoeApaXlzFB8Rs74/OJQP42yWQynRNj5bKoaF4nsH8Ddrso11EqAVa6oDqIabGy2Wyw22xV11/tjTFW93F7RSQOlBArFIRwOXhwZ2tsICCsYzUuUisxxVhbGIawLpPA2JGJ8XEsLy/3ehjEAEFibMApVgK2R779USN4PMJllMm0dZiOWsaWl8Wi10gZA48HOHoUyOWEKCP6B1UV38mRI43FV7lcwsqZSHRkOIFAAJk2z3skEuJ9UQ2tHQmHw0grSjWZZjOMMSdj7HOMsUXGWIYx9gPG2CtrtkcYY3/LGMtV9vnpTc/fafsrGWP/yhj7WEfeIGE5JMYGnJV4HONkFWscu11UP28DS2Jv6sG5aC/TTDxaMAgcOyaKw5bL1o+JaJ5iUdyOHweaybj1eESB4g7g9/vbt4xdukTlLBrEbI+U2FpcywCWALwYQBDA7wL4KmNsrrL9zwCUAEwAeCuAP2eMHat5/k7bfxTATwLoYHArYSUkxgac+MoKibFm8PtFTNYOQeBbUSwWO9fhIJUSVq5mhV4oJCwwmQwJsl5TLAr35LFjwi3eDD4fEI+Lc8BiZFkWWaQtnvfQNDG2DpVzGUYmJiZwfQtXJec8xzm/l3O+wDk3OOf3AbgI4A7GmBfAGwH8Luc8yzl/EMA3APwsAOy0vcKnAHwGwLc79f4IayExNsAYuo7f/vSnO1IocmiRZbFgZrMtPb2jQbmLi6330IxEhMtSUchl2StUVdxuvrk562Ytsty25XYrvF4v8vl8a09Op4X7fJBi9nqMz+eDqqp442/+5o77MsYmABwC8Ezlr845r00rfhKAafnaaTs452c45z/FOf9im2+D6BK0ig8wSi4Hn9dLRTubRZJEVmULKIrSmbIWqipqi7Vz7HBYCIFcbmCC+oeGfF6I4OPHm7eI1RIIiCB5TbNubNVDtxHEv7wMUM/bppmcmIAmrNVb+ncZY3YAXwbwBc75aQA+AOlNu6Wx7nLcaTsxgJAYG2ASioJ3vO51vR7G4OHzCVdlC3QseP/aNZFx167lIRgUTajL5bYTFYgGSaeFwL/llvaEGCAsY7oOrK5aM7YaWhZjhiGsde2+txFkfHwcL739dgCoW9GXMSYB+F8Q8V/vrTycBbB5kgkAyDS4nRhASIwNMF63G6+8++5eD2PwcLmEO69QaPqpHSn4yrlwUVp1XJ9PCAOXS8ShtRonRGyPYQgLazAoLJJWtb/xeoGlJWuOVUPLQfxmLGKLjcpHGafTiTe/8pUAoG7exkSdls9BBOG/kXNuBnyeBSAzxg7W7P4cCBdmI9uJAYTE2AAzEY1CpgmyNRgTQqUJeKW1juWfeS4nhKGVbiCnU8SQxWKiJMEWKfZEi2ia6M+4Zw9w003WChWPR4g8i2P/fD4fcq0kB6yttd21YpQZF4V243U2/TmAIwB+nHNevTLknOcAfB3ABxljXsbYCwC8DsKCtuN2YjAhMUaMJi5X066gXC7XmXpuyWRnFjtZFv0Q9+0TwpPiyKxBVYVl9fBhYHZWuCithDFhzUxvDgtq97AMjLEta19tycoKZVFaDGNsFsC7ANwK4DpjLFu5vbWyy3sAuAGsAPhrAO/mnNdavnbaTgwYJMZGjPNLS3jXhz+M57zlLbCdOIGX/OIv3rDPJ7/2Nbz6V38V0Ze+FOzOO/Efjz3Wg5F2GJer6QKbHYsXu3y5c/WbGAOmp0VgeakkFnhyW7aGYQhRaxjAc54DjI117rVcLtF6yGL8fn9zxV8NQwhPagzeEn/3H/+BW978ZgC4nTF2kTH26wDAOV/knDPOuYtz7qu5fbmyPcE5fz3n3Ms5n+Gc/1XtcXfaTgweJMZGjGfm5/HAww/j0MwMDs3M1N3ni/ffj4Si4BXPf36XR9dF7HbhGmyiLldH2iAVi2KBtyreaCtCIeC224SASCTIStYsqiosmFNTQoh1Opjd6xVizOL2SE0H8efzwsVNJS2a5qEnnsAbfvM3ceLYMQA4D+DzAD7KGPu13o6M6EdIjI0YP/5DP4Sl++/H1z76URyr15AZwMOf/zy++z//J97/jnd0eXRdhvOmCmx2xDLWZNxaW9jtosH40aNkJWsU0xrGuRBhc3PdCWS32URcWrtV8zfRkhgjWuKDn/0sXnjrrfjs7/4uACic8w8B+BMAH2CMUZ0QYgMkxkaMRgrEjkwRWcaaEmO5XA5eq2Nnrl/vvFVsM5EIWckaIZ8XQmxqSmSndqK+3HbIsuUllAeb9gAAIABJREFULpoWY6kU1RdrkSfOnsXLTpzY/PC/AAgDuKv7IyL6mRFZdQmiDk3Ejem6Xg2AtpS1te6LMWDdSnb8uPifRNk6xaL4XpxOIcK6ZQ3bjMdjuRhzOp0oNvM9JxKtd4UYcdRiEY4bm6qbH/6RLg+H6HOoLgIxujQhxjoWL1YqiTpVvSIUEoIjkRBNqnM5UQW+z0qmaLqOP3rgAXzuW9/CpbU1xPx+vOnECXzsZ37GuhcplUSbLK9XiNRgsLexUk6n+F4Mw7KMTcYYHA4HSqXSzj1WzeD9SMSS1x41DuzZg+89c0OCo2kqow+V2EB/zbgE0U1keT1uaodFtyPxYrlcf8RsSZJwWYbDwhKzuCiCtn2+vhFl7/jMZ/BvzzyD3/uJn8DhqSksJRI41WIXhRswRZjTKWqGRSLWl6toBcaEICoULC0tYboqx3bKBi2XqR9lG/znN74R7/7IR/CZv/1bALAxxl4B4Dcqm6nwH7GB/phpRwzG2JcAvBSAF8B1AP+Nc/7ZyrYIRFXmHwWwCuB3KG25Q5j1nMrlHeNiFEXB+Pi4ta+fzfbHom9iswETE0A0KmpLXb4sPhuXq3OlNxrgn06exFceeQRPfvjDOLprlzUH5VzEhBWLQoQdOCAEaT8WN83leifGiJb5T699LZ48exbv/shHAFFP7OsA7oEI4l/u5diI/qOPVoKR4g8AzHHOAwBeC+D3GWN3VLb9GUSfsgkAbwXw54yxY70Z5ojQwKLTEcvY2lp/xuPIsqhNduedwLFj6+6ydLonlfw//61v4UeOHrVGiOm6CEpPJoXl7/hx4I47hAjtRyFmWm8tpOEgfhJjbWGz2fCn99yD+L/+KwCcgpjTH6lsfmTLJxIjCVnGesCmSsm8ctvPGDsN4I0AjnPOswAeZIx9A8DPAvjt7o90RGhg0SkWi3BZLZySyf6ubC5JIqYsFBJWpJUVkf2p68KS6HZ3RcA8Oj+P195+O977hS/giw8+CM0w8GO33II/fdvbMB0O73wAXRfjN/sr7tkjrGD9KIQ343YL0X7w4M77NkjDhV9JjFlCWFzEFTjnWcbYewA8zDk/3eNhEX0GibEewRj7JICfg2hp8QMADwA4BEDnnJ+t2fVJAC+26nXzqooHHnwQAHAlHoeSy+F/f/ObAIBXvfCF8LhceOzUKSxcvYqlZWFJ/9b3v4/VVApz09O48+hRq4bSP+yw6BSLxZ2DnZulVOp98H4zeDwiq3D3buFeTSSAeFzUwrLZxPYbM8cs4Xo6jb/8znfwnJkZfOWXfgkZVcVvfeUr+ImPfxyP3Htv/QzXYlHEWhmGEI7j4yImzufrTwvYVjgcTXeK2AlZlqHrOjjn22cHl0oUL9YGjzz1FB584gnceugQAIQYY18D8AoAL+ztyIh+hMRYj+Ccv4cx9ssQ9WZeApHy7AOw2SeRBlC3wJGu6yiXy7A3sQiuJBJ4029vNLKZ/1/8xjcwNz2NP/3qV/GF++6rbr/3058GALz9Na/BX957b8OvNTDs0JC5Iy7KQbU6yPK6tWxubr0W1/KyEGmAsKg5nUJIWBATxzkH5xx//2u/hmil1tdUKIQXf/jD+PdTp/DSw4fXxa3pRvV6Rd/IYFAIxUEVFZIk4ts0zdJkCo/Hg3w+v33dvHy+bxI4BhG7LOMr//zPuPcv/gIA9gI4A+AFnPOnejsyoh+hX1oP4ZzrEK7InwHwbgDfAbB51Q8AqOtTWEkk8LPvfz9e84IX4OV33YVoNAp5h8lzbnoafIdek395773DKbrqIcui1c02kBjbAkkSliafT1jMVFXcsllREkFR1lvpMCYsUrIs/pq3Bgh7vdgXiyHqcFTb87xwfBwOmw2nzp3DS/fsEaJrclIIL7d7+HoplkqWCiMzbmxbMVYokBhrgbKmYTUeh61YxHtf/3p85+mn8fn77rvMOX91r8dG9C/0S+sPZAD7IbIoZcbYQc75ucq25wC4oVgNAEyOjeEdb3gDvnjfffjSv/4rfv8d74DX64Xk2IVUYQL7dpURC2tdegsDCmM7BqUrioK5uTlrX3cYxNhmXC5xC4XE/5wLd6Ep0syb6UKs/Qwqma1yNiti6WoeOzI+jqIp6ny+qtWNMwZpdhY4cWJwLV+NYvH5YoqxqamprXeishYNEU/KOL9kQ8i9DL14GcViEbFYDL/3xS8iHAjgp3/sx/D5++6L93qcRH9DYqzLMMbGAfwIgPsAFAC8DMBbAPw05zzHGPs6gA8yxn4eIh36dQDu3uJYeMVdd+EVd90FXqlX9fm/c+O9f3gTbJIO3bDhf7zvGbzzDUXYBilOptvsUOsrk8nAb3UrnFGIx2FsXaDVwzCE+80wxHfAOXKci1ZN5vMlCa951avwe5/+NFZnZzFWEXrffuwxlDUNzzl6dPg/R8ByMeb3+3Flpzpt/VADr4/RNA2f/boD7/v4scp8exifvOcs3vG6AgDg7/77f7e+YwcxtJAY6z4cwiX5KYjSIosAfo1z/veV7e8B8HkAKwDWALx7U/ZlXRhjiCdl/PIfHYFakmB+tb/6sWOYG/sy9kzaMBaLIRIOkzCrxaw1tgWccxiGsaP7t2nIBSTcnJsSI3Sn84b2UL/4hjfgE3/zN/jx970P73/HO5DJ53HPn/wJXnbiBF54663dHHHvsFiM+Xw+5Hbqy0qWsRsoaxoSa2uIx+O4Fgfe9/G3Qi3JMOfbX/pvh/GaH3oKsbBGQoxoihFfDboP5zyObbIjOecJAK9v5dgLVx1w2A0UiutB0w47EIo9F7t2LSMej2NhYQFejwexWAzhcNh6kTFk5HI5eDpR8JTEWMMEfD78+6c+hV/5wz/Em9//fjjsdrzuxS/Gx37913s9tO5gs4nzxULMPqu6rm99cUZiAkAlBmx1FaurqygVi4hGo5ibm0OBjcPpANSa/B+7bGDhqoPCQ4imodVgiJibLqFU3pi9VtYk7N1VRiAQQCAQwD7Okc3lsBqPY3FxES6XC2NjY4hGo01lZQ4NO7RC6kjwPiDipvqp+n6fc2DPHjzwiU/0ehi9wWbbMeO3Fcx6YyEzxm8zO1iNhxlVVZFIJLC6ugpN0xCNRrF/374NF2Zbzbdz09Z/V8TwQ2JsiIiFNXzuAwt45wfnYJcNlDUJn/vAwoarNMYY/D4f/D4f5ubmkMvlsLa2hqeffhqMMUSjUUSj0c5Yg/qVbURRRxqEAw31wxw14kkZzyzEMLtfJstCLR0SRWYQP4kxEY6QzeWwtrqKRCIBSZIQHRvDwYMH4d7kNjdpZL4liEYhMTZkvOUVSbzsRAYLVx2Ymy5tOzEwxuDz+eDz+TA7O4tisYhEIoH5CxdQVFWEw2FEo1EEg8HhjX/gfNsSC4qiYJdV/RBroXicDfz1P4Xxzg/NQWKHYXzMjs99YAFveUWy18PqD8yG4RYTCAQQj2+T5DfkbnTDMJBKpbC2toZUOg2vx4NoNIqbb765YS9BM/MtQWzHcP/aRpRYWGtpUnA6nZiamsLU1BQ0TUMqlcLy8jLOnTsHn9+PsWgUoXAY9mGapHX9hoDxWnK53Pa1mFplRCwOjRBPynjnh+YqsY6iPtg7PziHl53I0OJm0iExNj8/v/UOTqfIdh0iSqUSEokE1tbWkC8UEAqFMDY2hv3790NqMWyg1fmWIGoZolWVsBJZljE2NoaxsTFwzqEoChKJBJaWlsAkCZFwGJFoFD6vd7CtZpxv2cZH13VIktSZ9zfIn5nF1Es8oUDoTXQgvtDpdELdruCxxzPwYswwDGQyGSQSCSSTSTBJQjgUwuzsLLyDPncRQwWJMWJHGGMIBoMIBoPYu3cvisUikskkLi8tIZvNwuf3C3EWiQxeEgBjW4qxjtQXq31dso4BoEDoHelQfCFjDA6HA6VSqX7vVadzIM9RVVWRTCaRSCSQLxTg9/kQjUaxe/fuwZufiJGBxBjRNE6nE5OTk5icnATnvHrl+fTTTwMAQuEwIuEw/H5/y6b/rrGNZaxjmZQAZVLWUBsILbEyDG6nQOhaOO/Y+WIG8Y+Njd24cUCEi67rVct9KpWCzWZDNBol6xcxUJAYI9qCMVYtmzE3N4dyuYxkMolr167h7LlzcLlcCIVCCIdC/TsxbiPGxsfHO/eaOxXdHCHMQOgH/m0er3rpfhJitRhGx4LpB1GMmReAyWQSqVQK5bIo3ROJRDA7O0u1E4mBhM5awlLsdjvGx8cxPj4OzjlUVUUqlcKlS5eqBVTD4TBCoRDcbndvxZnp/tli8lYUBQcOHOjMa7vdwOpqZ449oMTCGo7NxRELz/Z6KP2Frov4rQ7g9/tx6dKl+hv7RIxxzpHL5ZBMpZBKpaCqKnw+H8KhEG666Sa4tmq3RRADBIkxomMwxuB2u+F2uzE1NbVhUp2/cGHDpBoMheDu9qRaLotFbgtBWCqVOjfRD0FwNNEltnGlt0sgEEAmk6m/0W4X7lHD6KpbnXOOQqGAVEV85fJ5eD0ehEIhHNi/Hy6Xqz8t7ATRBiTGiK5RW9dsz+7dVXdDKpXC+XPnoBaL8Hm9CAQCCAaDnXdrFgrAxETdTcVisbPBvg7HQAZHEz2iXoC9BciyDE3TwDm/8bfGGBAKiW4R25R/aRfDMJDNZpFWFKRTKRRUFW6XC8FQCDMzM/0b3kAQFkJijOgZtfFmwHoVbCWdFm7NfB4up7Oayenz+axtcl4qAeFw3U0dDd4H+sYFRAwIHTxfPB4P8vl8/Xp6kQhw8aKlYkzTNGQyGaTTaaTTaZTLZXh9PoSCQezbt6/34QsE0QNIjBF9Q22rpl27domYs2IR6VQK169fRyaTgU2WEfD7EQgE4Pf723cj+nx1HyYxRvQVHTxfzCD+umIsGBQxay1ixo0qioJMJgNFUcA5r1q/p6am4HQ62xg9QQwHJMaIvoUxBrfLBXeljAYg4rjMif3atWsolkpwu1xCnAUC8Pt8zWVTbREYnclkMDvbwUByEmNEI+yQZGIFphibmpq6cWOT3SfKmoaMolR/o2qxCJfLBb/PJ7Id5+aGq4MHQVgE/SqIgcLhcFQ7AwDrwb6KomA1HsfFCxfAOYfP56tazzwez431zkolsdBsk0nZsYKv4o2Inpi6vm1vTGLEKRaF9baDbrtAIICrV6/W3+h2bxnEr+s68vk8FEWBkskgl83CJsvwV357E5OTcDmd5HIkiAYgMUYMNIwxeDweeDyeqvVM13Vks1komQyWlpaQy+UgSRK8Xm81gcCraZC3aADOOYdhGJ2tV8SYiFfL55u2PhAjhKoC09MdfQmv14vcVjXvKkH85VwO2crvKpvNIl/Z3+v1wu/3Y/euXfB6vf1f5Jkg+hQSY8TQYbPZqkH/JpqmIZfLIZvN4vr16yhduQIll4NLVav7BoNBOBwO5PN5uDuYPVZlbAw4e5bEGLE15bIIou8gZv9VXddhs9mgqmo1uD6dTkObn4f3yhW4d++Gz+cj4UUQHYDEGDESyLK8LtA4B8JhGC95CbLlMlKVBIEzZ86gXC4DEIJucXGx6ursiJXM7xfuH4LYjg4VfC2Xy9XYLk3T8OCDD8IwDDhrMpinpqbgu+kmsIceAjrVjYIgCBJjxAiiqkA4DMntRsDt3pA1yTnHqVOnYLPZoGkaFhcXq4uVu7Kvv5LN6fV62xNpHVpkiSHBrEPX5nlSLpeF274ivDKZDFRVhd1ur57LY2NjCAQC2Lt3b/1xOJ2iSDEF3xNER6BfFjF65HLA0aN1NzHGkM/ncfjw4Q0B/JtT9Ofn55HNZqHrOhwORzUWzby53e6d3TguFwXxE1tTLArraQPnhmEYVTe8+TebzULTNMiyDJ/PB7/fj4mJCRw4cADOTYH1KysriMfj9Q/OGLBrF3D5sigCSxCE5ZAYI0YPw9g2DieXy8G3qf5YbWuniU1V+0ulUnXxW1tbw+LiIvL5PADA7XaLhAGvt5po4Ha7RfFaxsQ4cjmKGyNuRFWFCKqgaRry+TwKhQJyuVxVdBWLRTDGqgkqXq8X0WgUPp+v4S4SgUAA8/PzW+8wPg5cuNDuOyIIYgtIjBGjRakk3D5biB9d18EYayod3+FwIBKJILJJ4JllN0xrRTwery6mhmHAZrMhkMshtLQEx9QUXC4XXC4XnE4nBUePILquo1gsQlVVqKqK8tWrSHCOzMpK9XwxxbzH48HU1BS8Xq8lvRqdTidUVd16h0BAWOi63KeSIEYFEmPEaJHJAPv2bbM5Y1l9sdqyG/XQNA351VVoiQTyuo61tTWoqopisVjtFehwOuFyOuFwOG64T8UzBwPOOTRdR1FVUSqVUCwWUSwWq/dLpRI455AkCU6nU4hyhwP+YBCRO+6AJxCwtg1YHRhjcDgcKJVKcNTrg2mzAZOTwOqqqMpPEISl0GxOjA6ci/isepXGK3S8DVINsiwjMDkJ7NmDiM0mgqRrMAwDxVIJpcriXSyVsJbNikW8VIKuadXj2O12OBwO2O32uvdlWabimxbCOUe5XEa5XEapXEa5VKp7v/Y7claEtNPphNfrRTgcrj52gyU0mxXxYlv0Tu0Efr8fiqJUCyrfwJ49wJUrXRsPQYwSJMaI0SGXA2KxbeOzFEXBeLdT+HftAs6fv0GMSZIk2kFt03/TtLqUSyWUSiWUNQ3lUgm5XK56v1QqQauIAgCwyTLkRm82GyRJqtaiGhbMwr6GYUDTdWiaBq1cFn81TTy2+X9Nq4orAOtC126Ho3Lf5/NV78t2O2SbrbXPrVAAbrrJwne8M2ZbpC3FWCgkfjuqKpJPCIKwDBJjxOiQzwPHjm27i6IoOHDgQJcGVGFsDDhzpqWnMsZgl2XYZXlLd2gtpnjTKyKjbIqNyk1V1Q3/65pWFS2bkSQJNpsNks0GW0WwmaKNMSbuSxJYZd8N9xmr2+KnrGm4dv16vYFXBRRv4L5hGNANo+Hx2zeJULssw+1y3SBOba2Kq2bhvOuZi4FAAJcuXdp6B8aEi//pp0mMEYTFkBgjRoNSSSwgO1QzLxaLcG6yUHUcv1/0quxCHada8dYOG0SPrkPX9er/pijaTjDpug5e/8AbrHjVcWNdPFWFXq3o23Tf3Nc2iJY9VRUB810WPH6/H5lMZvudxseFKKNyLARhKSTGiNFAUYDDh7fNBCsWi3A4HN1ftBkDdu8Glpa6GiPUDoyxqthptHxCIyxfv449u3dbdryBJJPZ0YLbCex2OzRNqyaP1MXhELFjV68OzLlKEIMA5SgTw49hCLfPpvpgm+lm8P4N7Nol+hASo41hCHG+w7naKTweT7VG3pbs2UPnKkFYDIkxYvhJJoG5uR3dPj0VYz4fEI2KJANidFEUYSWtV16iC5hB/Nvi9wuxmE53Z1AEMQKQGCOGG00TVrG5uR13zWQyvRNjALB3L4mxUadUEpanHtGQGAOAgwdFuyZeN/KPIIgmITFGDDeplFg4GgiGVhTFsoKvLRGNivIW5AIaTQoFEbjfwwuCQCCwcxA/IKxje/aQdYwgLILEGDG8lMsi46sBS4OZ7Sf3sqq9JInSAY1YJojhI5MB9u/v6RC8Xi+y2WxjO+/bJyx5dcqGEATRHCTGiOElmRSFMxvI9svn83C73V0Y1A5MTq53CiBGh3JZnKdbFVztEmYJEL2R88/jEYIskej8wAhiyCExRgwnZpXw6emGdlcUBcF+6LnnconYsVSq1yMhuol54dAH/Ub9fn/j1rG5OZH9Wac2HEEQjUNijBg+OBdi5vjxhgtT9jSTcjOzs+IvLXCjQbHY1IVDp2k4iB8QMY5HjgBra50dFEEMOSTGiOEjmRSCJhZr+Ck9D96vxekEDh0S74MYftJpIWj6pKJ9U2IMEKU4YjEK5ieINiAxRgwXqioC4Q8dauppuVwOPp+vQ4NqgV27RAwRZVYON4WCyEzsdnP6bfD7/c2JMcZEx4BSiay5BNEiJMaI4cF0T95yS1NFM3Vdr/Y27BvsdhFDRNax4aaBNl3dxuVyQVXV5p7k8QhBRsH8BNES/TMDEES7tOCeBESx175xUdYyNQV4vcJ6QgwfiiKyJ6PRXo9kA4wx2O12lEql5p64e7d4P+SuJIimITFGDAeFgshEa9I9CfRZ8H4tNhtw881i0aZaTsOFponA/WPHhJuvz2g6bgxYd1eWy8JlSRBEw5AYIwafclkUzLz99pZ6+vW8DdJ2hMNUy2kYSSRE0L7X2+uR1KUlMQYId+Vtt4n3R7XyCKJhSIwRg41hiLT6W28FWqwT1reWMZMDB0TpA3JXDgeKAkQiPe1BuRMtizFAJCMcOQKsrlLvSoJoEBJjxGATj4vek1NTLR9CVVU4nU4LB2UxsiySEshdOfiY7snjx/sqaH8zDfeo3Iq9e0UMGVl0CaIh+nc2IIidSCSAiQlhOWqRUqkEh8PRX5mU9SB35XDQ5+5JE1mWoWkaeKuWLcaAo0fF+6SAfoLYERJjxGCSyQjX3S23tGVh6Ktirztx4ADg84n3TgweyaTI9O1j92QtHo8HhXZc47Is4jg5B/J56wZGEEMIiTFi8MhmxQR/xx0NNQHfjr7pSdkIsiyCo8tlUdyWGByyWXGutnnx0E3aihszcbuB5z5XxDvSOUsQWzIYs8KQwRj7EmPsGmNMYYydZYz9fCPbCIhFTdOAEydE5labDJRlDBDv+Y47hOuHqp0PBqWSECJ33NFStm+vsESMiQOJ32s2S4KMILaAxFhv+AMAc5zzAIDXAvh9xtgdDWwbbbJZYRV63vMsi7np67IWWxGJiPpjlK3W/+i6cE/efrtwMQ8QlokxAAiFSJARxDaQGOsBnPNnOOdF89/Kbf9O20aaTEYsbM9/vmWLGuccmqZBlmVLjtdV9uwRGWvxeK9HQmwF50IwHz7cdFeIfsDr9SKbzVp3wHBYXEhls1SmhSA2QWKsRzDGPskYywM4DeAagAca2TaSpFJiYXve8yy1LuTzeXgscHX2jJtuEos8ZVj2J6ur66J5AJEkCYwx6FYWbw2FxAVVoSBEGUEQAEiM9QzO+XsA+AG8CMDXARQb2bbpIB0fZ08xLQseD3DXXZaXA+j7Yq87YbMBz3kO4PeTIOs34nFRduXo0b5sd9QoPp/PWusYIIoz33WX+FxG4Lw1qDYg0QAkxnoI51znnD8IYDeAdze6zeRqPI43/cZv4K/vvx+ZYbvK1HVgZQXYtUtkY7lclr/EwIsxQGTo3X67EKypVK9HQwDiAiIWE5mTNluvR9MWwWDQurixWnw+YSGLRMTvfMgESz6fx4WLF/Gpv/or/Mz73w8Ag+enJroKibH+QMbWcWFbbpuOxfALP/mT+JdHH8Xrf/3X8fjjj+PiwgIymUzrxRr7gWJRWBaOHhWNhzsU0zUUYgwQGXp33ikE6whYGvqaeBwYGxMWywEXYoDFQfybcThEqZa9e4UgG+DsYM45UqkU5ufn8dhjj2H+wgW894//GCcXF/GuN70JACi4k9iWAYxcHmwYY+MAfgTAfQAKAF4G4C0Afnq7bVscDD9611340bvuAgCUNQ3JRAKXL19GNpdDMBBANBpFKBSCbVAWhkxGlAI4caLjQc+5XA7ePq+E3jBOp7Agfv/7QpBFIr0e0ehhuiaHwCJm4vf7MT8/37kXkCSR4OD3A08+Kf4OSBynpmlIJpNYXVtDNptFwO9HNBrF3NwcbDYbHviTP+n1EIkBgsRY9+EQbsdPQVgmFwH8Guf87xljsa22NXJguyxjfHwc4+PjMAwDaUXB2uoqLl68CJfLhejYGKKRCBz9WOtI10XD72BQWHk6XAZA13UwxiANSAHOhnA4RC2rJ59ct9AMcLzSwGAY4vPetUv0nBwSIQYALpcLajdKUezaJX7zTzwh3LyRSF8Wx1VVFWtra1hbW0O5XEYkEsGu6Wn4/f7+b6lG9DUkxroM5zwO4MXNbmsWSZIQDoUQDoXAOUcul0MikcAzp04BnCMUDiMSDiMQCPR+EslmgVxOuCVnZroyCWcymcEq9toodrtw/Zw5AywsANFox9y8BIQVN5EQ1p19+4ZO/DLGYLfbqz1cO0owCLzgBcD588CFC6JYrNvd2dfcAV3XoSgKEokEUqkUZFlGJBrFwYMH4e7x2IjhgmbpEYAxBp/PB5/Ph5mZGZQ1DalkEteuXcPZc+fg9XgQjkQQCYfhdDq7N7Baa9iLXiRcFF1iaOLF6mGziWbUfj/w1FPi8+1AAsTIk8uJEg133inck0OKGTc2NjbW+ReTZSFsJyaAkyd7YiUrFApIJBJIJJMoqiqCwSDC4TBmZ2cHsyYhMRDQmTWC2GUZsVgMsVisajVLJpM4ffo0NE1DKBRCJBpFMBDonBsvnRaVuI8cAWZnu+6SUBQF4+PjXX3NrsKYqHHl9QKPPy46FwyjJbBXpFLinL377qH/XE0xFo1Gu2dFD4c3Wsm83o6FLmiahnQ6jUQyiXQqBafTiXA4jP379g12HUJioCAxNuLUWs327NkDTdOQSqWwGo9j/vx5OF0uhEMhhEIheL3e9idj0yU5OQkcOtSzFjFf+cpXMD09jfe85z09ef2uEYmIRe0HP+jrWByTr3/nO7jzzjt7PYytMa250ajImOymJblHBAIBfOxjH8OBAwfw9re/vXsvbFrJpqaA06eB5WVLXJecc2SzWSSTSaRSKZTLZQSDQYxFo9i3d+/gJDsRQwWJMWIDsixjbGys6pLI5/NIpVK4dOkScvm8cGmGwwiFQs3FTBQKgKKsL2KhUIfeQWOcOXMGP/zDP9zTMXQNj0d0L+ijWJyt+LvvfAf/9X3v6/Uw6pPNAvm86HwwOztUgfrb4a9kCZ48ebI3AwgGRXZ1IgE8+6wogxEINOx6N63/qVQKyVQKqqrC5/MhFArh0KFDcJELn+gDSIwR2+LxeODxeDA9Pb3u0kylcH5+Hh/47GdxZG4OL3/+83H3bbfVjzcrFES5Cr9fTKjRaM+bxG+aAAAHYElEQVSDnEulEi5evIhbbrmlp+PoKptjcdbWhCuoj61kfYNpDQsEgBe+cOjdkpux2+2YmZnB/fff37tBMCbmjrvvFmLs2WfFxd0Woiyfz+ORJ5/ENx99FM8uLOD3f+EXqq5Ht9vd+6QlgtgEG+jioCMOYywOUf6iVzgh2jb5AWQxWIUNYxis8Y4KYwBWez0Ioi6D9JuJAfAByFRu9VvKdY9ZzjlV4Se2hMQYQRAEQRBEDyEfBUEQBEEQRA8hMUYQBEEQBNFDSIwRBEEQBEH0EBJjBEEQBEEQPYTEGNEUjLEvMcauMcYUxthZxtjPN7KNIAjCamg+IoYFyqYkmoIxdgzAec55kTF2GMB/AHg15/zx7bb1bsQEQQwrNB8RwwJZxoim4Jw/wzk3a/bwym3/TtsIgiCshuYjYlggMUY0DWPsk4yxPIDTAK4BeKCRbQRBEFZD8xExDJCbkmgJxpgNwF0AXgLgo5zzciPbCIIgrIbmI2LQIcsY0RKcc51z/iCA3QDe3eg2giAIq6H5iBh0SIwR7SJj6ziM7bYRBEFYDc1HxEBCYoxoGMbYOGPszYwxH2PMxhh7BYC3APj37bb1dtQEQQwjNB8RwwTFjBENwxiLAfjfAJ4DIeQXAXyCc/6Z7bb1arwEQQwvNB8RwwSJMYIgCIIgiB5CbkqCIAiCIIgeQmKMIAiCIAiih5AYIwiCIAiC6CEkxgiCIAiCIHoIiTGCIAiCIIgeQmKMIAiCIAiih5AYI4ghhzH2VsbYv3Tx9RYYYy9rcF/LxsYYewlj7LIVxyIIgugmJMYIYsBgjP0HYyzJGHM2sj/n/Muc8x/t0Fj+kjH2+60+v5NjIwiCGBRIjBHEAMEYmwPwIgAcwGt7OpgRgTEm93oMBEEMNyTGCGKweBuARwD8JYC3mw8yxqYZY9maW54xxivbfo4x9mDNvpwx9h7G2DnGWIYx9iHG2H7G2HcZYwpj7KuMMUe959Y8/wBj7BcBvBXAb1Ve8x9qdruVMXaSMZZmjP0NY8xV781sMbb/XBlbkjH2Z4wxtsVz3RXLXJIxdgrAczdtn2aM/R/GWJwxdpEx9iubnvuFynOfZYz9Vq2Ls+JqvYcxdhJAjjEm73A8iTH224yxecbYWuUzjFS2uRhjX6o8nmKMfY8xNlHvPREEMZrQFR9BDBZvA/DHAB4F8AhjbIJzvsw5vwrAZ+7EGPsytr/Y+jEAdwDYA+D7AO6GEFZrAL4L0VT5C9sNhHP+acbY3QAuc87/302bf6ryGiqAhwD8HIBPNfgeXwMhrAIAHgfwDwD+qc5+vwdgf+XmBfCP5gbGmFR53t9X3stuAN9kjJ3hnP9z5blzAPZVnvtAneO/BcCrAawCMHY43q8AeD2AFwOIA/gEgD+r7Pt2AEGIz7oI4FYAhQY/C4IgRgCyjBHEgMAYeyGAWQBf5Zw/DmAewE/X2e8eAIcB/KdtDvdRzrnCOX8GwNMA/oVzfoFznoYQNbe1OdxPcM6vcs4TECLm1iae+xHOeYpzfgnA/7fNc38KwIc55wnO+RKEADJ5LoAY5/yDnPMS5/wCgM8AeHPNc/8r5zzJOb+86bm172GJc15o4HjvAvD/cM4vc86LAO4F8JMVF2cZQBTAAc65zjl/nHOuNPF5EAQx5JBljCAGh7dDiKbVyv9/VXnsY+YOjLFXAvhVAM+riIitWK65X6jz/2SbY71ecz8PYLqN5/q22G8awFLN/4s192cBTDPGUjWP2QB8Z4vn1t6v99hOx5sF8LeMMeP/b+cOXmyMwjiOf39N0VhoLIQMstBkkNlgYSF/gMjKirJTrKyUhVG2SkkUWbCYpMjCYpqNYmM3C4TFlFHYaWSl6Vicd+o2zTXGTL2N+/3Urfv2vO85572rp/M853bEZ4FNwAPqrthYkgHgITVx+9XlvST1GJMxaRVI0k/dzelLMpesrAUGkuwvpUwmGaKWFk82O0Ur4SewrmMd85O0skLz/Isv1CTnTXO9vSM2DUyVUnb94dlB4G1zvW2BezrfbbHxpoGzpZRXXeKjwGhzAOM58B641+VeST3GMqW0Opyg7rQMU8t2I8Bu6s7M6STrqf1Ml0spL7uOsnSTwJ4kI00T/pV58W/Uvqs2PAIuJdmQZBC40BF7Dcw0Tfj9SfqS7E1yYIFntwLnF5lrsfFuA9eS7ABIsjHJ8eb70ST7kvQBM9Sy5exK/ACS/g8mY9LqcAa4X0r5VEr5OvcBblIb7w8CQ8D1zlOVy520lPIBuApMAB+B+YnePWC4OSX4dLnzLdEotTQ5BYxTy4EAlFJmgWPUpHWK2oR/l9pID/WdPjexCeAxtbl+QX8x3g3gGTCe5Af1xOuhJra5GX8GeAe8oJYqJQmAlNJmlUGS2pfkHHCqlHKk7bVI6j3ujEnqOUm2JDnc/D/YEHAReNL2uiT1Jhv4JfWiNcAdYCfwHRgDbrW6Ikk9yzKlJElSiyxTSpIktchkTJIkqUUmY5IkSS0yGZMkSWqRyZgkSVKLTMYkSZJa9BvLw0Zc1EhzTAAAAABJRU5ErkJggg==\n", 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trCaESs2fs2US7Pfemj+NJKnODKsshRCKwMXAhTHGRRvc/A7g+hjjw5s4xL8Ac4HtgPOBn4YQBlxXKMZ4foxx/xjj/jNmzBhOTElNIN8Cu54EtR4LV6CTk3gL+/P12j6RRt1M7uI09mEyy8nlyjV9rpCDOa+s6VNIkurQkMtSCCEHXAT0AmcOcJd3ABdu6hgxxltijGtijD0xxguBG4HXDCOvpHFk3/dCy8RaHT3SwhrezlEs4Ke1ehLV2BY8ymlxb2bE+yjUaOGHkIc9ToFcoSaHlyTVsSGVpRBCAC4AZgInxRhLG9x+MLAt8KNhPn+k5p8bS2pU2x8EhQmjf9wQqrTxFO/mQHbgD6P/BBpTbTzNu+PLeAl/oJDrGvXjFybAPn836oeVJDWAoZ5ZOhfYBTg+xjjQK9E7gR/HGNds7AAhhC1DCEeHECaEEAohhFPI5jj9atipJY0LIQd7v2t0P9HP5cpMYjmnsQ9bce/oHVhJFenibdWjmM9PR32lvAlTYJt9R/WQkqQGMZR9lmYBpwF7A0/02yPplL7bJwBvYoAheCGEj4UQftn3ZRH4LLASWAX8PXBijNG9liRt1P6nj15Zyud6mR7v57S4N1uwbHQOqrqRp8xJ1TezH+eNWmEqtsOBH3QjWkkarwZ9CxJjXMomhsrFGLuBLTdy2+f7/X0l8NIRZJQ0jk2ZCzu+Chb/bPNWx8vlKkyJD/F38UBaWTt6AVVXAnB0/EdCiCwM76MUN2+t75CD/d83OtkkSY1n2EuHS9JYO/wzkG8d+eNDqDIxruBd8RCL0jhxVPww88OVFHPdIz5GYQK87IPQ0jGKwSRJDcWyJKnuzdwTtjtg5I9vjc/yt/FgJuKebeNFAF5XfRvbcRP5XM+ID/LyfxzVWJKkBmNZktQQjvh8Nn9kuIqs5Z0czhSWjHom1bccFd5aPZbp8f5h78OUb4F93g1tU2sUTpLUECxLkhrC9gfBtPnDe0yBTt7KcWzNHbUJpbpXpIt3xsOYFJcTQmXIjws5eMVHaxhMktQQLEuSGsYRn4fiEOePFOjkdbyd2fyutqFU99p4mr+LB9MWnyLb3m/TQh52fQNM2rb22SRJ9c2yJKlh7Hg0TNpm8PsVQyeH8ml25bLah1JDmMxy3snhFBl809p8EQ795BiEkiTVPcuSpIYRAhx33qbnLuVyZbYLf+Rg/t/YBVND2Ip7eDUf2OQeTPlW2PNtMHWnMQwmSapbliVJDWXO4TDnCAgb2SWutfoMb6yetPHN4TSu7cMF7Bh+TT7XO+DthVY46r/GOJQkqW5ZliQ1nGPPhULLi68v0MlbOJF2nhr7UGoIATix+nba46oX3VacCEf/N0wYcJt1SdJ4ZFmS1HAmbwev+MQLh+MVQxcHh/9kB25MF0wNoZW1nByPpcALh+NNmQt7vytNJklSfbIsSWpIB30Y2qZlf8/lKswMf+bQ+Om0odQwtuHPHMm//nX+UqENTrwwWzJckqT1fFmQ1JDyLXDCt/r+Xu3mzdUTCUNYFlpa7wD+lx3C9QDs8VbYZp/EgSRJdceyJKlhzToEQqgym6vp4MnUcdRgAvDy6hcB2PMdabNIkuqTZUlSw7r5y5ArBh7mSJZwSOo4ajDdTOYKvgNErvoAxGrqRJKkemNZktSQ1jwGv/s0VHoDZdr5PpezjumpY6lBRODy3CV05aYDgacegDsuTJ1KklRvLEuSGtLPz4BKv61yenOT+WHuMqI7LGkIbuV9PBwPp1ItAlBaB1f9A3Q/kziYJKmuWJYkNZwl18FDv4Fq+fnrqtUCj8X9uDH8a7Jcagwr2J1f8SVKsf0F15e74bf/kiiUJKkuWZYkNZRKCa54F5Q6X3xbKbbzu/gJHuVlY55LjaGXdi4Jv6BM24tuq/TAHRfBE3ckCCZJqkuWJUkN5eb/hs6VG7+9TDvf40q62HLsQqlhXJn7Np1hJmxkuGa5C654J0RXoZckYVmS1EB618HvPzvwWaX+unNT+EHuMqrkxyaYGsKtnMrieCzlassm7/fUg/Dgr8YolCSprlmWJDWMW8+DWBn8fpVqkeUcyE9yF7pNrQBYxHFcxX+/aJ7SQEpr4eqPj0EoSVLdsyxJagiVXrj+84OfVVqvVG3jvvg6rg7/r7bBVPeW8XIu43uUGbworbd6ESz7Qw1DSZIagmVJUkO486JstbLhKMV2/siZ3MIHahNKde9JduW7/IoSE4f1uFInXOPZJUka9yxLkupetQLXfjLbC2e4SrGd3/IF7uGNox9Mde1ZXsK3+R29dIzo8Y/eAivuGuVQkqSGYlmSVPcWXQ49z4788WXauYJv8xCHj14o1bVOpvKtcCPdYSobW/luMJUeuPas0c0lSWosliVJdS1GuPpj0Lt2846zfknxx9hvdIKpbvXQwXfCdawJ2xLjyF/mYjVbFe+pB0cxnCSpoViWJNW1h6+BNY+NzrFKdPBtrvMMUxNbxwy+Ef7EqrCAarWw2cerlOH6z41CMElSQ7IsSaprfzp7ZHOVNqZEB5fyM+7mTaN3UNWFp5nD18OfeSrsTKVaHJVjxjLc830o94zK4SRJDcayJKlu9a6DB345+sct085P+Lar5DWRJ9iL87mVtWxNtTq6mxGHfG3+H0qSxlYIoTWEcEEIYWkIYU0I4fYQwjGbeoxlSVLduv8nkNv8kVQDKtPG1eEL/Cb8lxvXNriHOYxvcgPdTIHNmKO0Mb1rYOHXR/2wkqSxVwCWAYcCWwBnAT8IIcze2AMsS5Lq1sKvb/7CDptSiu38iTO4PHcxVUb3bITGxj28gUv4OaURLg8+VEuug+5navoUkqQaizGuizF+Ksa4JMZYjTH+DHgYNr76k2VJUl1a9yQs/2Ptn6cU27mP13FR7rd0MaX2T6hREQlcz8e4ggsp017z58sV4N4f1fxpJEmbZ3oIYWG/y6mbunMIYSYwD7hnY/exLEmqS3d/D8IY/YYqV9tYxsF8jftZxsvH5kk1YuuYzoW533F9+PiYFCXIFhlZeO6YPJUkaeRWxRj373c5f2N3DCEUgYuBC2OMizZ2P8uSpLq08OtQ7hq756tUi3Qyg+9wNb8PnyCOcCNT1dYSDuFsFrGMl1OKY1OU1nvyHnh22Zg+pSSpBkIIOeAioBc4c1P3tSxJqjtPPwTPPJzmucu0cQMf5du561nHjDQh9CJVclwbPsPF/JIupo3KHkrDFuDuS8f+aSVJoyeEEIALgJnASTHG0qbub1mSVHce/PXYDcEbSCm28ygv42ss4mEOSxdEAKxha76Zu4mbwofHbNjdQCrdsOjyZE8vSRod5wK7AMfHGAcdw2JZklR3Fv8cSp1pM1SrBbqZyiX8nF+F/6Y34Zv08SoCd/NGzuY+HmdfStW21JF4/HaobPIzSElSvQohzAJOA/YGngghrO27nLKxx1iWJNWVGOGR61OneF6ZdhaG0/kKj3Avr3dPpjGyivlckLuZK8O36GHLNMPuBpBvgcdvTZ1CkjQSMcalMcYQY5wQY+zod7l4Y4+xLEmqK6sXQ7WcOsULlautdDGNK8JFfDN3E6uYlzpS0+plIleF/+E8bmd5fCmlODF1pBcod8NDV6dOIUkaK5YlSXVlybVQr6dvSrGd5fEAzuPP/Cp82aF5o2j9kLuv8Ai3htMo0wax/l6iqiVY/NPUKSRJY6X+XokkjWv1MF9pU2LMUaaNheEMvsIj3M2bXGZ8M61gdy7I3cKV4Vt0MZVytTV1pE164s/OW5Kk8cKyJKlu1Nt8pU1ZPzTvyvBNvhIe4XbeSYX6mFfTKJZxIBfmruMb/JHlcf+6G3K3MYVWeGxh6hSSpLFgWZJUN+pxvtJgSnEiz8WXcFXuHL7E49zMBymRftW2ehWBBzmK88OtXMTVLKkeUrdD7jam1AUPO29JksaFxnl1ktT0nrg97f5Km6O32k4X07km9wW+yBNcFz5JN1ukjlU3quS4h5P4WljM98PlPB73pUQ7NOAQxmoJlt2YOoUkaSw4ZkRS3Vi1CHrXpU6xebK9gNq4MXyUP8R/Zo/cJexbPY9tWdiAtWDzPce23MVbuSX8Az1sQW+DDLUbzKr7UyeQJI0Fy5KkuvHEn4Fq6hSjY/0iBbfHv+WucDKtPMe+8f/YiwuZykOJ09VWN5O5j9ezMHcmK6q7EfI5ypWW1LFG1Zrl2Ry7MB4bsCSNI4MOeAkhtIYQLgghLA0hrAkh3B5COKbvttkhhNhv99u1IYSzNnGsqSGEy0MI6/qO99bR/GYkNbZV96VOMPpizFOKE1kbt+HG3Ec5l7s5J9zLLZzJOqanjjdqKhRZxGu5OPdLvsgKfpk/m8eq+1FhQtMVJYCQhzWPpU4hSaq1oZxZKgDLgEOBR4DXAD8IIezR7z5bxhiHMi37bKAXmAnsDfw8hHBHjPGe4cWW1GxihGeXpU5RW5VqESiyMu7C1fn/4jeV/2Kr3H3Mq/6EOVzNdvyRAr2pYw5JBFaxgCUcxuL8CSyt/A0hB73VDgAqlbT5ai3fki1IMnm71EkkSbU0aFmKMa4DPtXvqp+FEB4G9gNuHeoThRAmAicBu8cY1wI3hBCuBN4O/OtwQktqPp0rITbJELyhKFUmAPB4dR9W5PbgZj5MudrCVrl7mFf9CXO5mm35U92UpwisZj4Pcxh/yZ/II5WXU6VAzOcp930vzTKEcigqvVlZmnN46iSSpFoa9pylEMJMYB7Q/2zQ0hBCBH4D/FOMcdUAD50HVGKMi/tddwfZGauBnudU4FSAHXbYYbgxJTWY1YuhMAEqPamTjL1qtUAPkwB4vLovK3J7cjMfoVxtYXpuMVuFu5lZuZXpLGYai5nCQ+Spza6oEVjDdqxmHqvZmSfDHqzI7cOKyu4vLkcATX4GaWPKXfDk3alTSJJqbVhlKYRQBC4GLowxLgohdAAvBf4MTCMbZncxcPQAD+8Ant3gumeh7x3CBmKM5wPnA+y///5xODklNZ5G3GOpVvqXpxXVPVjBHtyTeyPF0E2sQilOoJ3VTMk/zMx4Fx3VZbSyhhbW/vXPln5f5yjTwyR66aC378/+X3cxjSfze7K6ujPPxW3JUSafq1AJLZQrrS8sROO0HA1kxR2pE0iSam3IZSmEkAMuIptzdCZA33C69fuYrwghnAk8HkKYHGN8boNDrAUmb3DdZGDNSIJLai5PPwSlBl82vJayAtXx16/XMZN1lZk8yoFAJJerkA9lAlUC1WxMY4RIjhghFyKEbPm2SI5InmrMU6nmgdwLSlCVFsrjaEjdSD2zJHUCSVKtDakshRACcAHZwgyviTFubPzH+jNAAy2muhgohBB2jjH+pe+6vXjhcD5J41Tn6tQJGlmgWi1Q3dSv9Mjzv6E1Kiz3ktT8Bl06vM+5wC7A8THGrvVXhhBeFkKYH0LIhRCmAV8Frosxbjjcbv1CEZcBnw4hTAwhHAycQHa2StI41/106gTS8JS7UyeQJNXaUPZZmgWcRrbU9xP99lM6BZgLXEU2lO5uoAc4ud9jPxZC+GW/w50BtAFPApcCp7tsuCSA7hd9xCLVt3J3tuS9JKl5DWXp8KUMPKxuvUs38djPb/D1U8CJQ04nadzosSyp0YRsCfFCa+ogkqRaGeowPEmqqV6XelGDyRX8fytJzc6yJKku9DpZXg0mV4DetalTSJJqybIkqS64spgaTS4PPZ5ZkqSmZlmSVBdcWUwNJzgMT5KanWVJUn3wt5EaUG7IW7tLkhpRU/yajzFbkah3TTYkondt9vfetdnXpXWQb4GWSdDSAa19f7ZMyv5ebIfgGzUpqWIb9DyTOoU0dLGavZZISidGqPT0vf/r997vr+8F10Fhwgvf+/31veD694CbWvNZ417DlKVYhWeXwerF2eXJu2DFnfD0g9C5OrtPrtB3yfP8YucRqpWsDP21EMXseNUKVMvZpdgOW+wAM3aBrfeBafNh2jyYuhO0TEzwDUvjjD9najSxkr3ZklRb1TI8s3SA94AP9W1oHiBfzN4Dhhx/fQ8Yq9llo+8BS9mfLR2w5SyYsRtsvXe/94A7ZkVL41tDlKUVd8JnWyHfmv0gVHoGnt9QqWS3jURpHay6L7ss+snzb9xKndmL4ZQdYcdXwdwj4SUHZtqlnFMAACAASURBVJ+CSxo9fkKvRlMt+/9WGm2xCk/eA0uuhb/8PPv7uhXPvwcsdw/8Xq9cGflz9q6BJ+/OLvf9OPsAPcbsPWDblJEfV82hIcpSpQRVshemsRAr0PPc8193Pw2PL4Qnboc/fQ1K3dkZqJ2PtTxJo8VP6NVoKiXLkrS5+pejxT+DZX/IhsVVyy/8YHys3gNWyy98D9i5amyeV/WrIcpSvehfolbckX0C0b887XkK7HEKTNo2bU6pEbVukTqBNDy5fDb0R9LwlLqyYnT7BbDsxuy6DcuRVC8sS5thw/J07f1wzVmw9V6w3/tg15OgdXLajFKjmGBZUoPJO5dBGrJqBZZcB7f9H9x/Zd+mzi69rwZgWRpF6z8RWf5HePJe+PnpMPeIrDjtdHS2Ip+kgU1wXLgaTNGyJG1SjNmHybdfAHd+NytMvWuBmDqZNHSWpRoprc3+/MsvYOn1QIR93wsH/zN0bJ00mlSXJm6VrVYUq6mTSEPjyAFpYJVeuPMi+N1noHMllHuy0ThSI7IsjYH1p5n/dA4sPBd2PxkOOQumzEmbS6on03aG4kSHZahxTJuXOoFUX3rXwa3nwfWfz0bblNalTiRtPsvSGFq/1OWdF8Hdl8JOx8Dhn4atdk+bS6oH0+a5MaAaSMj25JMEXU/DzV+Bm7+cjQ4odaZOJI0ey1IC6zfCvf8n8MBV2dLjR3w++1Mar6bu7AusGkfLRJi+S+oUUlprHocbvpDNSYoRyl2pE0mjz7KUUKxmv1iWXAvfOQLmHAnHngOTt0udTBp7rZOyYXg9z6ZOIg0u5ByGp/Gr0gt/+CJc/7nsw99Kb+pEUu3kUgdQptQJD/wCvjYPbviPbLNDabzZcnbqBNLQlLuzeXbSePPQb+GrO2VFqdRpUVLzsyzVkWo5+8Xz+8/A/+4ED1+bOpE0tpy/p0aRa4G2qalTSGPnuUfhkuPgeyfAc8scNq3xw7JUh0qd8OwjcOlxcOkJ8Nzy1ImksTFzL8gVU6eQBrflDqkTSGOj0gu//yx8bT488CtLksYfy1Id6z80b+G52eRJqZlNnw/FttQppMG5uIPGg8dvz4bc3fCF7D1JLKdOJI09y1KdWz8079cfyU599zyXOpFUO9sdkG1eKNWzQhvMeWXqFFLtxAi3fBW+ebBD7iTLUoModcKDv4avLYDHbk2dRqqNjq2hfXrqFNKmhRzMPjx1Cqk2up+Bi18DV3/UpcAlsCw1lEoPrH0cvvUKuOnLDstTc5p7ZOoE0qaFHExfkDqFNPoevSWbm7TkGs8mSetZlhpQuQuuPQu+ezR0PZU6jTS6djoGWialTiFt3A5/AyGkTiGNnljN5iVdeDise9LlwKX+LEsNqtQJS3+XDctbcWfqNNLomX2oL9SqX4U2mHdc6hTS6OldBxcdla1457A76cUsSw2s0gudK7MJmEt/nzqNNDqct6R65nwlNZPOVfCNl8Ejf3DYnbQxlqUm0LsWLj4G7rs8dRJpdDhvSfUql3e+kprDM0vhvH1g9WKodKdOI9Uvy1KTKHXCZafAn85NnUTafM5bUr3a4RXOV1LjW3EXnL8vrHkMqqXUaaT6ZllqIuUu+M1H4Np/c6U8Nba5RzpvSfWnpQN2fUPqFNLmWXo9fPOgbIGoWE2dRqp/lqUmU+qEm74EV74HqpXUaaSRaZ8G2788dQrphSol2OX1qVNII7foCrj41dnwfUlDY1lqQqVOuOd7cNnbPMOkxrX/6Q7FU32ZexS0Tk6dQhqZ+y6HH7/VhRyk4bIsNalSJyy+En7zT6mTSCMz73iollOnkDItk2D/01KnkEZm6e/h8re5NLg0EpalJlbqhIXnwh++lDqJNHzFNph/fOoUUp8IOx6dOoQ0fCvugkuO9YySNFKWpSZX6oRrz4K7LkmdRBq+fU91KJ7SCznY9U2QL6ZOIg3PM0vgwsOcoyRtDsvSOFDuyhZ8eODXqZNIwzP7sGxfGymlYjvs++7UKaTh6VwF33wFdD+TOonU2CxL40S5C37wenhsYeok0tDl8rDn2yBYmJRQsR1e4uqMaiC9a+Hbh8G6FS4PLm0uy9I4UloH3zky27VbahQvfb/Dn5ROoQ1eeqYb0apxxCpcchw89YAbzkqjwbI0zvSuhUuPz/YLkRrB9AWwwysA36wqgRDgZR9InUIaut9/Fh77E1R6UieRmoNlaZyJFXjqQZcUV2N55eey1fGksZRvhf3eBxO2SJ1EGppHboAb/sOV76TRZFkah8qdcOv5sPgXqZNIQ7PdS2Gr3VOn0HgTAhz8z6lTSEPTuRq+d6J7KUmjzbI0TpW74LKT4bnlqZNIQ/PKz0NxYuoUGi9yRdj9rdAxM3USaXAxwg/fBL1rUieRmo9laRwrdcL3T4RqJXUSaXBzXglbbJ86hcaLXB4OPSt1CmlobvoiLL8FKr2pk0jNx7I0jlXLsPLebNNaqd6FkJ1daulInUTNLuRgp9fAlrNTJ5EGt/xPcO0nsxVvJY0+y9I4V+qEm78Cy25KnUQa3IITYMKU1CnU7PKtcPi/p04hDa7UBd87wXlKUi1ZlkS5C654p8PxVP9CDl5ztnOXVDv5Fph/gguKqDFc/znofiZ1Cqm5DVqWQgitIYQLQghLQwhrQgi3hxCO6bvtwBDCb0IIT4UQVoYQfhhC2GYTx7ouhNAdQljbd7l/NL8Zjdyax2DhOalTSIObfzxsdwCEfOokaka5IhzzP6lTSIN7+iG46cueVZJqbShnlgrAMuBQYAvgLOAHIYTZwBTgfGA2MAtYA3xrkOOdGWPs6LvMH1lsjbbSOrj6Y7BuZeok0uBe+43sDIA0mooT4YjPwcStUieRBnfle13QQRoLg5alGOO6GOOnYoxLYozVGOPPgIeB/WKMv4wx/jDG+FyMsRP4GnBwrUOrNiq9cNUHU6eQBjdlLhz4ISi2p06iZjJpG3jp+1OnkAZ3/09h+c3ZRvOSamvYc5ZCCDOBecA9A9x8yEau7+8LIYRVIYQbQwiHDff5VTuVXlh0BTx6c+ok0uAOOcuV8TR6Cm1w4oWQK6ROIm1auRt++t5sgSZJtTesshRCKAIXAxfGGBdtcNuewL8B/7SJQ/wLMBfYjmz43k9DCDtu5LlODSEsDCEs7MSxYWPFxR7UKIptcNz/udiDNl+umM2F2/6g1Emkwf3+c9Dj5rPSmBlyWQoh5ICLgF7gzA1u2wn4JfDBGOP1GztGjPGWGOOaGGNPjPFC4EbgNRu57/kxxv1jjPu3M2OoMTUKnlsOt349dQppcAteC9u+1MUetHnyLXDM/6ZOIQ3umaVw05eg7FklacwMqSyFEAJwATATOCnGWOp32yzgt8BnYowXDfP5IxCG+RjVWGkdXPtvThxVYzjxW9kQKmkkiu1w9Jdd1EGN4Xf/DtXS4PeTNHqGembpXGAX4PgY418XqQwhbAdcA5wdY9zkuYgQwpYhhKNDCBNCCIUQwilkc5x+NcLsqqFyL9z53dQppMFtORtO+KaLPWj48q2w46tg3/emTiINbu0TcPelUC2nTiKNL0PZZ2kWcBqwN/BEvz2STgHeQzYH6ZP9rl/b77EfCyH8su/LIvBZYCWwCvh74MQYo3st1aHS2uzsknOX1Ah2eyPs9hbPMGl42qfBid+B4PgGNYAb/xNiTJ1CGn8GXfcnxriUTQ+V+/dNPPbz/f6+EnjpsNIpqZ5nYdHlsOsbUieRBnfs2bD09/D0g2QDfKVNKLTByT+D1kmpk0iD634Gbj0PKj2pk0jjz7CXDtf40bsWrvmEn2SpMRQmwFt/lq2SJ21KcSIc8QXYZp/USaShueWrvhZLqViWtElrlsNDv02dQhqa6fPhNec6f0kbl2+BHf4GXvaB1EmkoSl19q2A1zX4fSWNPsuSNql3LVzzsdQppKHb+x0w77XZmSZpQxO2hJMudZ6SGsdt33D+sJSSZUmDWnkvPH5b6hTS0J1wAUzdOdtsVFqvOBFOuQrapqROIg1NrML1n8u29JCUhmVJgyr3ZJ9sSY2i2A7vvBY6toHgbzmRLejwlp84T0mN5ZEbs2F4ktLxbYQGFStw18Xu7aDG0j4N/u56mOBZhHGv0JZtXjz3iNRJpOG57f+g17NKUlKWJQ1JjPDwNalTSMOzxQ7wrt9Bi8tDj1vFdjjyP2C3N6dOIg1PuQfu+zFuhSAlZlnSkPSugVvPT51CGr6tdoNTfgkFV8gbd4rtcMDfu/KdGtMDv4SQT51CkmVJQ/aXXzgcQI1ph4OzFdAK7sE0bhTaYZeTsv2UpEa08OvZB5WS0rIsachyBbj/ytQppJFZ8Fo49hwL03hQaM/mJ53wTZcIV2PqfgaWXJc6hSSwLGkYetdkn3RJjWrvd8FJ37MwNbNiO+z5VnjLFdkHPFIjuvdH/v+V6oVlScOy/Bboejp1CmnkFrwW3v4bF31oRsV2OOif4bjzXTJeje22b7i3klQvfDnRsBRa4ZHrU6eQNs8OB8O7b4K2ab6pbhaFNjj6y3DYJx16p8ZW7oEnbk+dQtJ6vk3QsPSsgQd/nTqFtPm22g1Ouw0mbQe5Yuo02hzFdjjpEtjvtNRJpM332J+gMCF1CknrWZY0PBEeuCp1CGl0bLEDnHY7TF8Aed+cNKSWDjjlKlhwYuok0uh46GoodaVOIWk9y5KG7bllzltS82ifBu+5OZvLVHQvpoZRmABbzob3/BFmvSJ1Gmn0LP4pVEupU0haz7KkYStMcN6SmkuxHd7wfTjma32FyTkvda3Yt4fSGffAjF1Sp5FGT7kHnrwrdQpJ/VmWNGzOW1Kz2udv4dRbYcoclxevSwGKE+G48+D13/VMoJrP8j86X0mqN5YlDZ/zltTEpi+A0++G3d7om/F6UmiDaTtnc8z2fFvqNFJtPHw1lDpTp5DUn2VJI+K8JTWzYhuceCG89hvZmQyXF0+r2J4VpPfdmRUmqVkt/jlUy6lTSOrPtwAakUIbrLovdQqptnY/GU6/E7Y/KCtNGluFNmjfCk76Hhx/frbPm9TMnlqcOoGkDVmWNCLVMqz2l7rGgSlz4V2/h9d9B9pnOJdpLIRc9u/8sg/Ch5bA/ONTJ5Jqr/tZlwyX6pFlSSNSWgcr702dQhobIcAur8/euB9wZvZG3qF5tVFshx1eAaffBUd+IRsSKY0HT/3F/+9SPfLlXiP2xJ9TJ5DGVrEdjvpPeN8dsP3fODRvNBXbYeJW8PpL4J3XwtQdUyeSxtbqxRCrqVNI2pBlSSPmMDyNV9N2hnddly1fPWlbKHakTtS4ChOyM3UHfAA+uAQWnJCdyZPGm5X3Qe+61CkkbaiQOoAa15rHsk/BHI6k8SgEWHAizDse7v0RXPMJWPsElNamTtYYiu3Z746Xfzibm9Q2JXUiKa0n/gzE1CkkbciypBHLF+G5R2GLHVInkdLJ5WH3N8Nub4IHfwVXfwxW3+9eKRtT7MhWtTvk47DvqdDiUEYJgNWLUieQNBDLkkYsV8yG4lmWpOxM006vzi7L/gDXfBwevQUqPc5DAGjpgNYt4PDPwJ6nQL4ldSKpfsQIzy5LnULSQCxLGrFqGZ59JHUKqf5sf1C2SMGKu+BPX4O7Ls2u712TNtdYK07Mfk/s8Ao44P3ZkMVcPnUqqf70PJsVJkn1x7KkEauWodf5GdJGzdwDjjsPjvkaPPRbuO18eOAqyBWa92cn35qdZZs2H/Y/HXZ7I7RNTZ1Kqm89ayBfgGpv6iSSNmRZ0ohVeqHnudQppPqXL8LOx2SX3rVw3+Vw63nw2MJsOGujLwqRb80KYNtU2O9U2PPtsOWs1KmkxtG7BoJnXaW6ZFnSyMVsx3FJQ9fSAXu9PbusXQEP/hr+8gtYck324UMjnHXKt2Zzjqpl2O4AmP9amHskbLWHy35LI9G71pVlpXplWdJm6X4qdQKpcXXMfL44QTYHcMl1WXl6+JrsDVSuAKV1aReJKE7M3sitL0fzjoc5h8PMvZyDJI2GnnE2n1FqJJYlbZbuZ1InkJrHFjvAXu/ILgDPLIXlf4RVi2DFn7NNK59dmpWWwgSoVrIiNRoKE7IzRtVSNsS2Y5ts3tHWe8OMXWHmntnfLUfS6Otdi3ssSXXKsqTN4jA8qXa2nPXiuT8xQtfqbNn+1YuzIrV2BfQ8k/089q7JPqUurYNSF5S7slJVaINiW7avUUsHtEzKlvKesEU212javOcvk7e3FEljqXeNWwxI9cqypM3iAg/S2AoB2qdnl+0PSp1G0mjoXZudMZZUf5xOqM0yWkOAJEkar3rXWZakemVZ0mbJt6ROIElSY8u3uHS4VK8sS9osLZNTJ5AkqbG1dGQrX0qqP5YlbZZWy5IkSZuldZL7LEn1yh9NbZYJW6ZOIElSY2vpsCxJ9cofTW2WNsuSJEmbpWVS6gSSNsaypM0yYWrqBJIkNbaWDtyUVqpTliWNWK7onCVJkjZX66Rs82hJ9ceypBHLFfo+DZMkSSPW0gHRsiTVJcuSRixXhPbpqVNIktTYJkyBSil1CkkDGbQshRBaQwgXhBCWhhDWhBBuDyEc0+/2I0IIi0IInSGEa0MIszZxrKkhhMtDCOv6jvfW0fpGlECEaTunDiFJUmPLF6F9WuoUkgYylDNLBWAZcCiwBXAW8IMQwuwQwnTgsr7rpgILge9v4lhnA73ATOAU4NwQwm4jj6+Uyl0wdafUKSRJanxTfD2V6tKgZSnGuC7G+KkY45IYYzXG+DPgYWA/4PXAPTHGH8YYu4FPAXuFEBZseJwQwkTgJOCsGOPaGOMNwJXA20fx+9EYap0MxfbUKSRJanwz90ydQNJAhj1nKYQwE5gH3APsBtyx/rYY4zrgwb7rNzQPqMQYF/e77o6N3FcNYMu5qRNIktQcZu4BhQmpU0jaUGE4dw4hFIGLgQtjjItCCB3Ayg3u9iww0PZqHX23DeW+hBBOBU4F2IIdhhNTY2TmHqkTSJLUHKbNg3wrlLtTJ5GG5zH2499ZmDpGnzDqRxzymaUQQg64iGzO0Zl9V68FNtxpZzKwZoBDDOe+xBjPjzHuH2Pcv50ZQ42pMZJvha0sS5IkjYpp86DqinhS3RlSWQohBOACsoUZTooxrv9xvgfYq9/9JgI79l2/ocVAIYTQf/20vTZyX9W5wgSYPj91CkmSmsPkl7h8uFSPhnpm6VxgF+D4GGNXv+svB3YPIZwUQpgA/BtwZ4xx0YYH6JvPdBnw6RDCxBDCwcAJZGer1GCqJZhmWZIkaVSEHEzaLnUKSRsayj5Ls4DTgL2BJ0IIa/sup8QYV5KtcPc54GngZcBb+j32YyGEX/Y73BlAG/AkcClweozRM0sNKFeAKS7wIEnSqJl9aOoEkjY06AIPMcalbGK2VIzxt8CLlgrvu+3zG3z9FHDiMDOqDu3wCgijP4dOkqRxa6dj4L7LoHfA2dySUhj20uFSoR12PjZ1CkmSmsvsQ6HSmzqFpP4sSxq2EGDO4alTSJLUXDq2hvbpqVNI6s+ypGHL5V3cQZKkWph7VOoEkvqzLGnYnK8kSVJt7HwMtExKnULSepYlDYvzlSRJqp1ZzluS6oplScMSgNmHpU4hSVJz6pgJE2ekTiFpPcuShmXCljB9wIXiJUnSaNj1jdl+hpLSsyxpyPItsM+7na8kSVIt7f232WuupPQsSxqykIO93pk6hSRJzW3mHjBxZuoUksCypGGYMhem7pg6hSRJzW+/0yA/IXUKSZYlDUmhHfY/PXUKSZLGhz1PSZ1AEliWNESxAru9OXUKSZLGh8kvga12S51CkmVJQ/KSl7mUqSRJY2n/06E4MXUKaXyzLGlQLR2w3/tSp5AkaXzZ9Q1QLadOIY1vliUNKuRhwYmpU0gajkoJup6GZx+Bpx+GdSuh1AUxpk4maagmbAELXpe9DktKwy3PtEmFNjj4n6HYljqJpFiF5x6F1Yuzy4q74Mm7oOsp6F0H5c6sEFV6oFqBfLFvY8uQzTuslLKyVGjJfraLbVDsgNYOmDYPZu4N0+dnf5+yIxRaU3/Hkg77FNx/BZQrqZNI45NlSZsUcnDAmalTSONP19Ow9Pew7EZ44s9ZOVrzWF8BKmaFqNy96WNUerPLhsrd2aX76eeve/w2uPdHUGzPClWpE9qmZlsGzNwTtjsAZh+WlSg3ppbGzvT5MPtweOAqwDPD0pizLGmj8q3w0jOgdXLqJFLz63oaHrk+e0P0wK9gzaNQmAA9a3jBG6RqqXYZqmXoee75rztXZpflt8Bdl2RntgoTstK087F95Wmu5UmqtVd+FpZcB+Wu1Emk8ceypI0KOTjon1KnkJpTtQJLroVFV2QF6bllLy5HA50VSqW0Lvuz3AWLLocHf52Vp2IbzDoMFpwA80/I5lhIGl3b7Avb7APL/pA6iTT+WJY0oFwR9ny7y4VLoynGbEjd7d+EO7+bzSPqXUtdlqPBvKA8XZaVp5+eCnOOgP1Pg51eDfmWtBmlZvLKz8Elxz3/sydpbFiWNKBcHg75eOoUUnN4ZgnccRHc9n/ZYgzl7qwoNZPS2uzPB36RDSeMVdj1jbDve2D7gxyqJ22uWYfClrNh5T2pk0jji2VJLxIKMP+1sMUOqZNIjatSgru/Bzd9CVbfn51VqvSkTjU2etdkf975HbjvR9nKe/u+Fw78kGerpZEKAY74Avz4ZM8uSWPJfZb0IoUWeNWXU6eQGlOpC275X/jydvCLM2DFHdmZpPFSlPqL1WyYYefKrDR+ZRb87LRs7ydJwzfvONhqd8AztdKYsSzpBYrt8IpPwOTtUieRGkv3s/C7z8CXtoarP5oVhN61qVPVj0pPNr/p9m/B1+bDj94MqxalTiU1lhDghG9li8FIGhuWJb1A23Q46MOpU0iNY+0K+PWH4cvbwg1fyJbedojMxlVL2Zm2e38M5+0L3301PLYwdSqpcczYBfZ7r4VJGiuWJf1VsR1O/JYrWElDUeqCqz8O/zMH/nh2tomre6AMXaxk/14P/hq+fSh850h4+uHUqaTGcPhns9dsSbVnWRKQLeow5wiY88rUSaT6FiMs+gn8z2y4+b+zN/zjcT7SqIlZ0VxyHZyzG1zziayIStq41knwmrOhODF1Eqn5WZYEZIs6HHtO6hRSfXvqQbjwcLjsFFj3pGeSRtP6M003/Xd2tu7+n6ZOJNW33d7sYg/SWLAsicL6RR1ekjqJVJ9KnfDbf4Vz94BHbnBOUi2VO2HdCvjxW+DCI+Dph1InkuqTiz1IY8OyNM6FHEyZ46IO0sY88OvsTMctX83OfDTbZrL1qtQJS38H5+wO134Sqv67Sy8yYxc46J+cvyTVkmVpnCu2w8k/dVEHaUPVMvz6I/D9Ex1yl8pfh+Z9Eb5xIDy3PHUiqf4c+m8wc0/IFVInkZqTZWkcK7Znp/CnzEmdRKovzy6D818KC8+1JNWDUies+DOcsyss/kXqNFJ9yeXhzZdDsSN1Eqk5WZbGqUIb7H4y7PqG1Emk+rLoymxVtifvyt6kqz5Uy9keVj98A1z1IaiUUieS6kfH1vDGH2Sv7ZJGl2VpPArZYg6v+VrqIFL9qPTCz8+Ay06G3jXOTapX5S649f/g/P3gmSWp00j1Y8ej4IAznb8kjTbL0jhUbIO3/swVdKT1nn0Evr43/Pnbnk1qBOVOWHlPtjqhS4xLzzvi8zBtPoR86iRS87AsjTPFdjju6zBtXuokUn148m44bx9Yfb/zkxpJrELvWvjRm+HW81KnkepDrgAnXwktblYrjRrL0jhSbIeXngF7vj11Eqk+PHIDXHAQdD2VvflW4yl3wa/+MVtePMbUaaT0Jr8E3vpzh+NJo8WyNE4U2mDBiXDkf6ZOItWHRVfCd4/O5iepsZU6/397dx4mV1nmffx7V1d3Op0QIBBQFtkX2ZUgKsMi6qiggOMuKLgFUdxn3nEYUBwZZ8YZZ9RxQWAEcQUFUUBARQEVRQKaQFgCBCIIZCOEJL1XPe8fpyJN7E6609V1TlV/P9dVV7pOnTr16zx9uuuu8yzZ9OJXvsf1mCSA5/wN/N13nPBBqgeLpUmg3Ak7HgYnfCNb8Vua7G4/Hy57s+OTWslAN9zxXfjeCTDYl3caKX97Hw+v/LxXmKTxslhqcW0dsPVzsz7MLlinyS4luPFTcM2HHJ/Uiga74cHr4aIjs2nGpcnu4Dnw4v9nwSSNh8VSC4s22Gw7ePv12Qx40mSWElz3EfjNZy2UWtlgDzz+R7jgUOhdlXcaKX9HfgL2P9GCSdpUFkutKmDqTHjHr2HqlnmHkfL363/Lut/Z9a71Vfpg5SL45sthsDfvNFK+IrJZcHc52jFM0qawWGpB0QZdW8M7fgUzts87jZS/P1wIN51joTSZVPqzaeEv+TsnfZCiBG/4QTbxQ9krTNKYWCy1mLYO2HxHOPV22HqvvNNI+bv3KvjJ++16NxkN9sDiG+HH73Zacak8BU78CezzOrvkSWNhsdRCyp0wax+Yc3u2zoI02T3yO7jsTRZKk9lAN9x1KfzyrLyTSPkrlbOZcV/wAQsmabQsllpEexfs+DfwzpsdoyQBLLsbvvkKu94p+xn43f/A77+SdxIpfxHwsn+Ho//VMUzSaIyqWIqI0yNibkT0RcRFQ7afGBFrhty6IyJFxMEjHOeGiOgdsv+9dfo+JrX2rmzB2ZOucdY7CWD1Y3DREdDv9NGqGeiGn/093P3DvJNIxfDCD8PxX7dgkjZmtFeWHgXOAb4+dGNK6dsppenrbsD7gEXA7Rs41ulDnuOomnFq74JD3gev/ZbrKEmQDeb/3vHQ+2TeSVQ0gz3ww7fBEw/knUQqhv3eDG+5EtqnAS5aLw1rVMVSSunylNIVwIqN7HoycHFKDqWdcJH9cnv1ufDy/8wuq0uCX34Cli2A6mDeSVREgz3w3VfDYF/eSaRi2PWl8J5bYYuds7HPkp6pbmOWImIn4Ajg4o3sLc7xCAAAIABJREFU+m8RsTwifhMRR9Xr9SeT8lSYuXs2490Bb8s7jVQcD/4yG5viOCWNJFXhycVw7YfzTiIVx6znwvsWwD5vcOIHaX31nODh7cCvUkoPbmCffwR2BbYHzgOujIjdhtsxIubUxknN7WZZHWM2t/aubCXu0+bDVnvmnUYqjrVL4dLXOfOdNm6wB+ZdDPf8KO8kUnG0T4XXXgzHXWC3PGmoehdL39jQDimlW1JKq1NKfSmlbwC/AY4ZYd/zUkqzU0qzu5hVx5jNKUrQMR1OuBiOO99L5dJQqZoVSv1r8k6iZjHYnY1fWvWnvJNIxbLfW+C9f4St9nLyBwnqVCxFxGHAdsAPxvjUhJ9dbFS5C7Z+Lrx3fraYnKRn+tVn4LHboTqQdxI1k4Fu+O5xUPHnRnqGmbtnBdOBb7dbnjTaqcPLEdEJtAFtEdEZEUPnXjsZuCyltHoDx9giIl6x7rkRcSLZGKfrxvMNtLIoZ7+kjvjnbHzSlrvknUgqnj//PiuWHKeksUoVeOI++MUZeSeRiqc8JZtE6k1XwGbbWzRp8hrtlaUzgR7g48BJta/PBKgVUW9kmC54EXFGRFxTu9tONv34MmA58AHghJSSay0No70Ldn8lnH4vHH4GtHXknUgqnmoFLj/JcUradAPd8PsvZYsYS/pru70cPvgA/M3Hs2554TIlmmRG9SOfUjobOHuEx3qBLUZ47DNDvl4GHDLmhJNMexd0bQ3HfT2bzlPSyOZ+BVY/mncKNbvBPvjRO+Bdv3UZBmk45SlwxFlw4Clw1amw+Eav5mvyqOcEDxqHUq3L3eFnwgfus1CSNmbtMrj+DBhYm3cSNb0ES++EBZfmHUQqts13hBN/knXNm7GDXfM0OVgs5azUDm2d8Ny/q3W5+ye73Emjce2HoNKfdwq1ioG18JP3OaOiNBrruuYdcRZMmVGbalxqURZLOWmbkvX9PegU+MC98PpLsk9pJG3cI7+De66wWFJ9DfTAL8/KO4XUHNo6snFMH3scXvpv2RACiya1IoulBitPzX6ZHPpB+PBieM15sPlz8k4lNY9qBa442UkdVH+DPTD3XFh+T95JpObRPhUO/QB89FE49ivZe5qO6XmnkurHYqlBOqbDlM3hiDPhY4/Cyz8L01xrVxqzuV+Fp/6cdwq1qnWTPaSUdxKpubS1Z+syfehBeO23svUh26dB+E5TTc4JICdQuStbx2P7Q2H2e2HvE7JPYCRtmsFe+MWZTuqgCZRgyR3w0A2wy0vyDiM1nyjB3sfDXsfBwzfD7efDXT/ItvePuBqnVFwWS3VW6oBSW7aA7OzTYN83eQVJqpc/fB2qg3mnUKsbWAu/+Gd41815J5GaVwQ857Ds9prz4P5rs26uD/4imwHYD73ULCyW6qA8Nful0LkFPO9dcODJMHO3vFNJraU6CDd+yj+waowl8+DR22C7g/NOIjW/to7sStNex0HvKrj7sqxwWjI/e8wrTioyi6VNUJ6aXU4utcFzDoc9joWdj4Kt93ZBQ2mi3HmJiyCqcQZ6si6fJ12TdxKptXRuDs97Z3Zbuyxb4Pb+a+GBn8LaJdlswRZPKpKmKJZKbdDemc8nym0dWXFUHYCoFUd7Hgu7HA1b7WVxJDVCStmUzq6Bo4ZJsPiGbGa8rffOO4zUmqbNgn1en90A1i6FxTfBfdfAop9lxdO692B5fFhW7syKN1Y1/rVVHE1RLM3cHY75OCxbAI/PgxX3wurHsplXSu3ZSVQdhMoAMMYZjErl7Bil2v/EYE+2wNoWu8K2+8M2+8PWe8FWe8KWu1kcSXm472roXpZ3Ck02lQG44VPw+u/mnUSaHKZts17xtAyW3w0rFg55D7jw6StQpfKQ94CbsO7euvd/pXYgZQXZ1JnZ+71t94dtD4CZe8A/vbKu36aaTFMUSx3Ts8Vbh0pVeOqR7KRZ9afsE+e+p6D3SehdCT1PQt+qbFv/GihPgY4ZWSHUuUV2mzozu98xPVtMbas9s7FG7V25fJuShpESXH+GV5XUeKkC914Bqx6GzXfMO400+Uybld12OuKZ26uV7L3fioXZe8H13wP2rszu9z0F/WuzK0RTNvQecFb2wfiWu2b7SkM1RbE0nChlC5+5oKvU2h7+DaxclHcKTVbVCvz63+HYL+edRNI662Yd3nKXvJNoMnCpMEmF9vsvO7GD8lMdgPnfrHXzliRNOhZLkgprsBfu/RFjHoso1dsDP807gSQpDxZLkgpr4VVPT74i5aV/Ndx2Xt4pJEl5sFiSVFhzv+p6GyqGB66DPn8WJWnSsViSVEg9T8CffpN3CilTaoe7L887hSSp0SyWJBXSgkuyGY+kIhhYA7edm3cKSVKjWSxJKqS55zoLnorlsT9kC6JLkiYPiyVJhfPkYli+MO8U0jNFCe78Xt4pJEmNZLEkqXAW/dwueCqewR6454d5p5AkNZLFkqTCue8qGFibdwrprz16K1QH804hSWoUiyVJhZISPHRT3imk4ZXas7FLkqTJwWJJUqGsXJR1d5KKqNIHD/4i7xSSpEaxWJJUKA/dABF5p5CGV+mHhVflnUKS1CgWS5IK5b6rnDJcxfbYXMctSdJkYbEkqTBSgoduzDuFtGGOW5KkycNiSVJhrFwEg715p5A2bLAPHrw+7xSSpEawWJJUGI/dBqVy3imkDav2w59+lXcKSVIjWCxJKozl9zheSc1h+b15J5AkNYLFkqTCWDIPUiXvFNLGPfVINsZOktTaLJYkFcayu/NOII1OBKxdkncKSdJEs1iSVBirFuedQBqdtimwYmHeKSRJE81iSVIhdK9w7Ro1j8qAxZIkTQYWS5IKYcVCKHfmnUIancFuWHpn3ikkSRPNYklSIaxYCFUnd1ATWTIv7wSSpIlmsSSpEJ64HwbW5p1CGr2Vi/JOIEmaaBZLkgqhZ0XeCaSx6be4l6SWZ7EkqRB6V+adQBqbwZ68E0iSJprFkqRC6H0y7wTS2Az25Z1AkjTRLJYkFULf6rwTSGOULJgkqdVZLEkqhL6n8k4gjU2pHfrX5J1CkjSRLJYkFYIz4anZlMrQ7xVRSWppFkuSCsGZxdRsSm1eWZKkVmexJKkQnFlMTSccaydJrc5iSVIxRN4BpLEL/4pKUksb1a/5iDg9IuZGRF9EXDRk+84RkSJizZDbWRs4zsyI+GFErI2IxRHx1jp8D5JaQHtX3gmksUlV6JiedwpJ0kQqj3K/R4FzgFcAU4d5fIuU0uAojvNloB/YFjgIuDoi5qWUFowyh6QWZbGkZpOqMGWzvFNIkibSqK4spZQuTyldAazY1BeKiGnA64CzUkprUkq/Bn4MvG1TjympdfgJvZpNddCfW0lqdfXqbb04Ih6JiAsjYusR9tkTqKSUFg7ZNg/Yd7idI2JOrevf3GXLltUppqSi6vATejWZSr/FkiS1uvEWS8uBQ4CdgIOBzYBvj7DvdGDVettW1Z7zV1JK56WUZqeUZs+aNWucMSUVXeeMvBNIYxMlaOvIO4UkaSKNdszSsFJKa4C5tbtLIuJ04LGImJFSemq93dcA678dmgE48aokOrfMO4E0NuXOvBNIkiZavSc9TbV/h5sEeCFQjog9hmw7EHByB0l0bpF3AmlsLJYkqfWNdurwckR0Am1AW0R01rYdGhF7RUQpIrYCvgjckFJav7sdKaW1wOXAv0TEtIg4DDge+Gb9vh1JzaprFq61pKbiTHiS1PpGe2XpTKAH+DhwUu3rM4FdgWvJutLdCfQBb1n3pIg4IyKuGXKc95FNPb4U+C5wmtOGSwLYag8Hy6u5zNwz7wSSpIk2qjFLKaWzgbNHePi7G3jeZ9a7/wRwwiizSZpEttoTwitLaiLPOijvBJKkiVbvMUuStElm7gEDPXmnkEanfRrMem7eKSRJE81iSVIhdG7ugHk1j1JbdjVUktTaLJYkFcYWO+edQBqdwT6LJUmaDCyWJBXGrH3yTiCNTqkNpm6VdwpJ0kSzWJJUGM86CErjWipbaowZz3FCEkmaDCyWJBXGVntBe1feKaSN23rvvBNIkhrBYklSYWx/CAz2551C2rByJ+zykrxTSJIawWJJUmHM2AE6t8g7hbRhpTLsbLEkSZOCxZKkQtn16LwTSBuWEmyzb94pJEljFRGnR8TciOiLiItG8xyLJUmFsvsx0DE97xTSyHZ8MYR/PSWpGT0KnAN8fbRPcN4pSYWy85FQGcw7hTS8cifs+eq8U0iSNkVK6XKAiJgN7DCa5/jZmKRCcdySiqxUhl3sKipJRbV1rZvdutuc8R7QK0uSCmfXo+GO7+SdQhqeiydLUmEtTynNrucBvbIkqXAct6SicrySJE0u/sqXVDi7vRwqA3mnkJ6pfRo893V5p5AkNZLd8CQVzrRtYLuD4eGb807SPCIqtJUqBBVKVLL5rUmkFLXHExAQQaJElTaqqY1q1T8Do1UdhH3ekHcKSdKmiogyWf3TBrRFRCcwmFIacWop/0pKKqTZp8GS+dC/Ju8kxRBRob3UA9XEYOpkCqvZovQQ23AXm1X/xJS0io7KGqawmg7W0FH7dwqrCSr0p+n0M51+NqOf6fT95d8ZdMc2LC/ty4rqbqxN29BGP6VSlUGmUKl25P2tF8ZOR8LULfNOIUkahzOBTw65fxLwKeDskZ5gsSSpkPY+Aa58T94p8hFRoSO6GahOYcvSQ2wTC3hWZS5bV+5lKxYyk/tppweqdXrBBFSyL6uUWMVOrKjuyQr2YEnpeSzhAJZV9yYCKtExKQuojs1g9ql5p5AkjUdK6Ww2UBgNx2JJUiF1TIfdXgn3XpF3kok3tDjaurSQPatXsmv6GTvwO9qrPQ3NUqLKljzIljzI7lz3l4IsESxN+/FgOoqFba/lkcoLiEiTpnhKFdjjmLxTSJIazWJJUmEdPAcevB76V+edpP7KbX2kSmKr0gPsUSuOduS3DS+ORitIbMsdbMsdvLDyvySCJWl/HqoVTw9XXkCplOivTss7av0F7P3abEFaSdLkYrEkqbB2e3neCeqrVBqkVO1nRjzKwZWvsD/fZbPq43nH2iRB4lnM51nM54WVLzJAJ/dVj2Vu6f38qfoiSm2JgcrUvGPWRcc0eP4k7RIqSZOdxZKkwiqVYf+3wO0XQKrX+JwGi6jSTjfl1MNB1Qs5iAuZle7JO1bdtdPLPlzGPtXL6GFLFlTewNzS6ayo7k4qlalU2/OOuMnapsBOh+edQpKUB4slSYV2yPth3jdhsJi900bUVuonqoPsG5fx/Oq57MjNRN6hGmQqK5nNecyunseT7MS86tu5ldMZKE2nv9qVd7wxaeuEg091IVpJmqz89S+p0LY9ALabnXeK0Wtv66WdNbyo+jk+wnM4ofp2njOJCqX1bcFijuTTfJTtOLb6braIh+iItXnHGrUIeNFH804hScqLxZKkwjv6X6G94PMGtJe66WQlR1Y+wcd4Ni/lDLpYkXeswihR4QC+ywfTLrwuvYltSnfSXvCiqdQOB50CXVvlnUSSlBe74UkqvJ0Oh5m7ZYvUFk17aS1Tqqs5qvoJDuQblOnPO1KhBbAnV7NH9Wr+xOFcX/oPHq8eyACdFO3zu1IbHH5G3ikkSXkq1l8mSRrB0Z+B9ul5p3haudRPJys5pnoaH2EHDuZ8C6UxCGAnfsU7qy/mFA7nWTGf9ujOO9ZfRFs2XfiMHfJOIknKk8WSpKawxzEwfZu8UwBUKdPD8/g/PsxOHMQ3KVHJO1RT247bmZOex7HpVKbwJG2l/IvOtnY46uy8U0iS8maxJKkpRMBLzoGOHK8utcdanh1/5D0cwjHV9zGFFlwtNycBHMi3agXohZTpAXKaLz5gl6Nhqz3zeXlJUnFYLElqGvu+IZ9iqdzWRycreU16N+9JB7MNCxofYpLo5CleXX0v7+YFPCvm5dI1r30qvOTTDX9ZSVIBWSxJahqlMrzyC42dGa9MNwelC/kwO7E/35u0U4A32rbcyZz0fI5Np9LBU0Q0pqtjqQy7vBSe/fyGvJwkqeAsliQ1lX3eANvsBxNdtZRKg0xhFW/ktRxbPc0udzlY1zXv/ezDttxBe2niVyZu64BjvzrhLyNJahIWS5KaSgQcfyGUOyfuNdpLPTyLP/B+9mYPfjpxL6RRmcGfeU+azSHpS5SZuG557V1wxJkwY/sJewlJUpOxWJLUdGY9Fw6eMzEFU5luXpj+m3dVX8hmPF7/F9AmKVHh5en/8RaOYwpPUirVv1te19bwoo/V/bCSpCZmsSSpKR19TnYloF5KpUGm8gQn8iqOTmdSymsmNm3QrlzP6ezNdsylPerXLa+9K7ti2dZRt0NKklqAxZKkptQxHY75Sn0meyiXetmeW3k/e7EzN43/gJpQ01nCO6ov5kX8Z1265a2b1GGXo+sQTpLUUiyWJDWtfd84/ske2qObPbmak6tHMI3ldcumiVWiykvSJ3kN7xl3wdTWAcd+pU7BJEktxWJJUtOKgNdenK2Lsynao5vncwGvr76eNgbrG04NcQDf4U2cQDtrNun57V1Zl84ZO9Q5mCSpJVgsSWpqW+0Jr/ry2McvlenmyPQpXpk+5NpJTW53fsbJvIQprIIxjDVr64AdD4NDPzxx2SRJzc1iSVLTe94psMex0DbK2fHKdPNqTuUwPjuhudQ42zOX93AI01g26pnypsyA138vu0IpSdJwLJYktYTjvw7Ttt74fu2s5Y28lgP51sSHUkNtxX2cykFsnh6irTSwwX3LU+HNP4KpMxsUTpLUlCyWJLWEjunw1quzN8EjaWctb+elLjTbwjbjceak57Nlun/EK0ztXXD4GbDjixscTpLUdCyWJLWMbQ+Av/2v4acTL9PNG3ktO3BL44OpoTp5ilPSEUxLjxPxzDFMpXZ49vOzYkmSpI2xWJLUUmafBju/BNqmPL0tG6M0h935WX7B1FDTWM4702FMSU8+Y3vHdHjjZRD+9ZMkjYJ/LiS1lAh43bdh8x0h2hLt0c1L+CQH8u28o6nBtmAxp3DUX6YVL3fBW6+CadvkHEyS1DQsliS1nCkz4MRrYWqs5OD0VV7Mf+UdSTnZljt4K8cC2XpKjlOSJI3FqIqliDg9IuZGRF9EXDRk+wsj4mcR8URELIuI70fEszdwnBsiojci1tRu99bhe5CkZ6gMwI/fBV2xgiP5dN5xlLPtuZWDuIAb/wWeeCDvNJKkZjLaK0uPAucAX19v+5bAecDOwE7AauDCjRzr9JTS9NptrzFklaRR+enH4M+/h+UDe3Ax19PPMDM+aFIYiC5+Hf/EH3k3favgmy+Dge68U0mSmsWoiqWU0uUppSuAFettvyal9P2U0lMppW7gS8BhE5BTkkbl3qvg9gtgsCe7/xgHcwmXM8AG5hRXSxqILubH27gpnZltSLDmcbhyTr65JEnNo95jlo4AFmxkn3+LiOUR8ZuIOGqknSJiTq3r39xly5bVNaSk1vTUI/DDE58ulNZZxN/yIy6wYJpEBktTWRQv56rqV4B4ensv3PNDmO+axJKkUahbsRQRBwCfAP5hA7v9I7ArsD1Z970rI2K34XZMKZ2XUpqdUpo9a9asesWU1KKqg/C946F/7fCPL+CtXM+/WzBNAoOlqfyZF3Bp9VKG+zM30A1XvRdW3Nf4bJKk5lKXYikidgeuAT6UUvrVSPullG5JKa1OKfWllL4B/AY4ph4ZJE1u1/8zLL8HUmXkfW7hg1zJ1yyYWthAdHEfx3Jx9WdU6Rh5v274zrHZlSZJkkYy7mIpInYCfg58OqX0zTE+PTG0f4QkbYJFP4ff/+/oBu7fwdv4Hj900ocWNBBd3M67ubR6CVXaN7xzyrptXvOBxmSTJDWn0U4dXo6ITqANaIuIztq27YFfAF9OKZ27kWNsERGvGPLcE8nGOF033m9C0uS1Zglc+oa/Hqe0IYt4Bd/gl/Qyg+TnNS1hgKncyFlcm77AaD8HHOyBO74Dd102sdkkSc1rtFeWzgR6gI8DJ9W+PhN4N9kYpE8OWTtpzbonRcQZEXFN7W472fTjy4DlwAeAE1JKrrUkaZNdfRoMjDBOaUMe5RDO51a6mUW1VK5/MDXMAFO5inP5Tfr42J/bna3J1btqAoJJkpreqN4hpJTOBs4e4eFPbeB5nxny9TLgkDFkk6QNeuhGeOA6qA5s2vOfYE/O5Q+8Ix3B5qWHaav21zegJlw/XVzKD3iAV23yMQb74Of/CK/eYP8ISdJkVO+pwyWpISoD8KNTxr/A6Bq247x0Gw9xFAPhOKZmUSlNYQ3bchE3jatQAqj0wryLYcn8OoWTJLUMiyVJTemWz8PapfU5Vh+b863qtVyfPu1MeU1gILpYxMv4EvfyGAfX5ZiDvXDFyZBSXQ4nSWoRFkuSms7qx+CGT43/qtIzBbfwES7kV6zm2VRKU+p5cNXJAFP5afpPvlO9kj42r9+BU7bu0vyxzukqSWppFkuSms5PTofKBA0veoyD+RL3cD+vYCC6JuZFNGaDpU6eih34P37LXN7HRKw6MbAWrvmQkz1Ikp5msSSpqSy+CR64dtMndRiNfmbwveoVXJv+mwG6sGdWvrKFZl/Nl9LdLOHACX2twV74+dgn1ZMktSiLJUlNIyW48tR6d78bSXA7p3I+t7A0DnDyhxxUSlPoZXN+nL7GpdXvM8D0iX/NXph3EaxcNOEvJUlqAhZLkprGop/DUw839jWXsR/npj9wdfoivWzuWKYGSGRjk/7IKXyexdzJSQ19/eog3Pjphr6kJKmgLJYkNY1fnLFpC9COX4l5vJPP8xDzeBsDTLVr3gQZiGksiYO4gN9xVfXc+k7iMErVQVjwPVjzeMNfWpJUMBZLkprCI7fAsrvyzdDHFlxZPZ//42aWxoF2zaujdV3urkpf5mvpdpZyQK55UhV+/R+5RpAkFYDFkqSm8It/btRYpY1bwkGcm/7AVelL9LAlAyWLpk1VKXUwQOdfutzN52QmYqa7Mefqh9vPg94n804iScqTxZKkwlu6AB6+Oe8U6wvmcwqf4zGurX6O1fFs+ksTPwFBqxgsdTLAVG5Lc/giD+TW5W5DUhV+94W8U0iS8mSxJKnwbvgkVPryTjG8ClO4nVP5n/QwP66ez8rYjf6waBrJYKmLPqZzc/p7/ptHuCb9L2vYLu9Ywxrshd9+rjhXNCVJjWexJKnQnnwI7rs6+5S/yBJtLODNfDHdx/fTpTxeOoh+pjkRRM1AaRo9zOT66r/wOR7nl+nT9DIz71gblSpw29fyTiFJyks57wCStCFzz4VqJe8UYxHcz6u4v/oqduQ3vLD0efaoXk0qlemors47XEMNljqhCstK+3JL9XTu4K1U6cg71pgMdMNv/wcO/TBE/kOpJEkNZrEkqbBSgj9cCNWBvJNsmoc5jIerh1Gmm72qP+aQ0rlsX/0dtLVRrrRm365qlKmkDtbGtsytzmE+J7G6ukPescal5wlYMg+edVDeSSRJjWaxJKmwHvktDLZATTFIFwt4Mwuqb6aLZexbuYRDSueyRXUR0ZYoV3rzjjgu1WhjkC4qqZ0/cjJ/5B0sTfvnHatuBnvhD/8Hr/rfvJNIkhrNYklSYd1+QesNru9mFrdyOrdWT2dLHmCPytXs1XYVO1RuhghKpcHCF0/VaGMgplGu9rK89FzurR7LA7ySP3EYpNYbCpsqMO9b8IrPQ6kt7zSSpEayWJJUSJV+uOv7xZ/YYTxWshu/54P8vvJBoMo2aQE7V37J3m1Xsf1fiqdq7l32KqUOBul8RnH0YHoZj/BCBqtTc83WKKkCD90Au7407ySSpEayWJJUSPdfRxHWJm2gEkvZn6Xs/4ziaYfK75gVC3h2aR4zq/fRlZZQYQqpVKZML23V+sypXo02BkvTSFUop2762YwnS7uylP14vHoAj3NQrTjqqsvrNZv+NdkitRZLkjS5WCxJKqTbvgb9k2vyuPU8XTyRgNqMgMEgW7CYraoL2YqFbFu6g+mxlCk8RUd6inbW0pHWUE49lOmhTB+QqNBBhU4GYioDTGMgptEXM+hnM3rYkqWVfVhR2YsV7MkT7M4A06CFr+qNWYJ7r4SBHmifHBfTJElYLEkqoL6nYNHP805RTIkyK9mNlezG/bxqFAVNqt1KT98d+q9GrVSGe38M+70p7ySSpEZpvZG4kpreouuhrbmW4ymwwF/19dG/GhZcmncKSVIj+RdUUuE8cN1k74Knolp8Q7b+lyRpcrBYklQ4D1yXdwJpeAM98OSDeaeQJDWKxZKkQuleAasfzTuFNLwoZVOIS5ImB4slSYWy+CYod+adQhrewFpYeHXeKSRJjWKxJKlQHrgumw1PKqqHbnDckiRNFhZLkgrF8UoqukovrFyUdwpJUiNYLEkqDMcrqSmE45YkabKwWJJUGH++xfFKKr6BtfDg9XmnkCQ1gsWSpMJYfg8M9uadQtq4pXfmnUCS1AgWS5IKY8l8qPTnnULauFWL804gSWoEiyVJheGn9WoWAz3QuyrvFJKkiWaxJKkwnGFMzaJ9KjxxX94pJEkTzWJJUiEMdEP/6rxTSKOTqrDCYkmSWp7FkqRCeOJ+KE/NO4U0Ov1rYfndeaeQJE00iyVJhbBiIUTknUIapQSP/zHvEJKkiWaxJKkQVizMPq2XmsXye/JOIEmaaBZLkgphzRJIlbxTSKPX+2TeCSRJE81iSVIh9K7MO4E0NoM9eSeQJE00iyVJheCn9Go2g715J5AkTTSLJUmF4AKfajbVClQH804hSZpIFkuSCsE1ltRs2tqhf03eKSRJE8liSVIh+KZTzaZU9udWklqdxZKkQhhw2nA1mWiDPq+ISlJLs1iSVAgD3XknkMYmSl5ZkqRWN6piKSJOj4i5EdEXERet99hLI+KeiOiOiF9GxE4bOM7MiPhhRKyNiMUR8dZx5pfUIqqusaQm5AQPktTaRntl6VHgHOApqQqwAAAHYUlEQVTrQzdGxNbA5cBZwExgLnDJBo7zZaAf2BY4EfhqROw7xsySWlB5at4JpDFK0DEt7xCSpIk0qmIppXR5SukKYMV6D/0dsCCl9P2UUi9wNnBgROy9/jEiYhrwOuCslNKalNKvgR8DbxvPNyCpNbR35Z1AGptqBTqm551CkjSRxjtmaV9g3ro7KaW1wAO17evbE6iklBYO2TZvhH0lTTJ+Qq9mkyrQsVneKSRJE6k8zudPB5att20VMNyfj+m1x0azLxExB5hTu9sXEXeOI6fytTWwPO8QGhfbsLnZfhOhF87cpmGvZhs2N9uvue2VdwDlZ7zF0hpgxnrbZgDDTaY6ln1JKZ0HnAcQEXNTSrPHF1V5sf2an23Y3Gy/5mcbNjfbr7lFxNy8Myg/4+2GtwA4cN2d2rik3Wrb17cQKEfEHkO2HTjCvpIkSZKUq9FOHV6OiE6gDWiLiM6IKAM/BPaLiNfVHv8EMD+ldM/6x6iNZ7oc+JeImBYRhwHHA9+s1zcjSZIkSfUy2itLZwI9wMeBk2pfn5lSWkY2w92/AiuBQ4E3r3tSRJwREdcMOc77gKnAUuC7wGkppdFcWTpvlDlVTLZf87MNm5vt1/xsw+Zm+zU3228Si5RS3hkkSZIkNaHtYnY6lWIM6zqbuK3e4wPHO2ZJkiRJklqSxZIkSZIkDSPXYikiTo+IuRHRFxEXrfdYV0R8JSKWR8SqiLhpyGNnR8RARKwZctu14d/AJDdS+0XEieu1TXdEpIg4uPZ4RMR/RMSK2u2zERG5fSOT2Dja0HOwADbyO/SNEXF3RKyOiLsi4oQhj3kOFsA42s/zryA20obvjoj7a+1zbURsN+Qxz8ECGEf7eQ5OInlfWXoUOAf4+jCPnQfMBJ5b+/cj6z1+SUpp+pDboomNqmEM234ppW8PbRuyiT0WAbfXdpkDnEA2dfwBwKuBUxuWWkNtahuC52ARDNt+EbE98C3go2Tr2f0D8J2IWLeEqudgMWxq+4HnX1GM1IZHAp8hm/V3JvAg2cRW63gOFsOmth94Dk4auRZLKaXLU0pXACuGbo+IvYDjgDkppWUppUpK6bZcQmpEI7XfME4GLk5PzyZyMvC5lNIjKaU/A58DTpm4pBrJONpQBbCB9tsBeDKldE3KXA2sJVsHDzwHC2Ec7aeC2EAbvgb4fkppQUqpH/g0cEREeA4WyDjaT5NI3leWRnIosBj4VK0b3h0R8br19nlNRDwREQsi4rQcMmoUImIn4Ajg4iGb9wXmDbk/r7ZNBTRCG4LnYJHNBe6OiOMioq3WhasPmF973HOw2DbWfuD5V3RRuw29D7Bf7V/PwWLbWPuB5+CkUc47wAh2IPuBvAzYDngRcHVE3JVSuhu4lKyb3hKywuqyiHgypbT+JVLl7+3Ar1JKDw7ZNh1YNeT+KmB6RIRXLgppuDb0HCywlFIlIi4GvgN0Av3AG2qLg4PnYKGNov08/4rvJ8AlEXEucB/wCSABXbXHPQeLbWPt5zk4iRT1ylIPMACck1LqTyndCPwS+FuAlNJdKaVHa93zbga+ALw+v7jagLcD31hv2xqyfvjrzADW+AeisP6qDT0Hiy0iXgZ8FjgK6ACOBC6IiINqu3gOFtjG2s/zr/hSStcDnyT70Hcx8BCwGniktovnYIFtrP08ByeXohZL8ze+yzMknnm5VAUQEYeRXRn8wXoPLSAb1LrOgbVtKpgNtOH6PAeL5SDgppTS3JRSNaV0K3AL8LLa456Dxbax9luf518BpZS+nFLaI6W0Ddmb7jJwZ+1hz8GC20j7/dXueA62rLynDi9HRCfQBrRFRGdElIGbgD8B/1Tb5zCyT9iuqz3v+IjYsjb15guADwI/yue7mLw20H7rnAxcllJavd5TLwY+GhHb16bi/BhwUUNC6xk2tQ09B4thA+13K3D4uisREfE84HCe/iDKc7AANrX9PP+KY6Q2rP27X62NnkPWZesLKaWVtad6DhbApra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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "HFOV = {}\n", - "multi = {}\n", - "DIV = np.arange(-100, -3, step=5, dtype=float) #[-50, -40, -30, -20, -10, -5]\n", - "for div in DIV:\n", - " hfov, mult = plot_f(div)\n", - " HFOV[div] = hfov\n", - " multi[div] = mult" - ] - }, - { - "cell_type": "code", - "execution_count": 498, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([ 1, 2, 2, 2, 2, 1, 2, 2, 5, 4, 4, 3, 3, 2, 1, 1, 3,\n", - " 2, 4, 3, 5, 4, 6, 5, 7, 6, 8, 7, 7, 6, 8, 7, 9, 8,\n", - " 8, 7, 9, 8, 8, 7, 7, 6, 8, 7, 7, 6, 6, 5, 11, 10, 10,\n", - " 9, 9, 8, 8, 7, 7, 6, 6, 5, 5, 4, 4, 3, 3, 1, 3, 2,\n", - " 3, 5, 4, 6, 5, 9, 10, 11, 10, 12, 11, 3, 4, 3, 5, 7, 9,\n", - " 8, 10, 11, 10, 10, 6, 5, 5, 4, 3, 3, 2, 1, 5, 3, 3, 5,\n", - " 5, 5, 4, 6, 5, 6, 6, 5, 5, 4, 5, 7, 7, 6, 5, 3, 3,\n", - " 3, 5, 4, 5, 5, 7, 6, 7, 3, 3, 3, 10, 1, 1])" - ] - }, - "execution_count": 498, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "multi[-50]" - ] - }, - { - "cell_type": "code", - "execution_count": 517, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "1" - ] - }, - "execution_count": 517, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "multi[-100].min()" - ] - }, - { - "cell_type": "code", - "execution_count": 536, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 536, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "fig, ax = plt.subplots()\n", - "ax2 = ax.twinx()\n", - "ax.plot(DIV, [multi[d].max() for d in DIV], color='black')\n", - "ax.set_ylabel('multiplicity max')\n", - "ax2.set_ylabel('HFoV')\n", - "# for i in range(1, len(test_dict)+1):\n", - "for i in range(1,6):\n", - " ax2.plot(DIV, [HFOV[d][multi[d]>=i].sum() for d in DIV], label=f'multi >= {i}')\n", - "ax2.set_yscale('log')\n", - "ax2.set_ylim(10,1000)\n", - "plt.legend()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# shapely" - ] - }, - { - "cell_type": "code", - "execution_count": 427, - "metadata": {}, - "outputs": [], - "source": [ - "# If you use the dummy, you can clearly see the superposition\n", - "\n", - "dummy_test = {}\n", - "dummy_test[1] = {'THETA': 20, 'PHI': 180}\n", - "dummy_test[2] = {'THETA': 20, 'PHI': 184.1}\n", - "dummy_test[3] = {'THETA': 20, 'PHI': 177.9}\n" - ] - }, - { - "cell_type": "code", - "execution_count": 428, - "metadata": {}, - "outputs": [], - "source": [ - "# test_dict.pop(4)\n", - "# test_dict" - ] - }, - { - "cell_type": "code", - "execution_count": 429, - "metadata": {}, - "outputs": [], - "source": [ - "dummy_test = test_dict" - ] - }, - { - "cell_type": "code", - "execution_count": 430, - "metadata": {}, - "outputs": [], - "source": [ - "# instead of tel_dict_4, you can use tel_dummy\n", - "polygons = {}\n", - "for key, value in dummy_test.items():\n", - " polygons[key-1] = Point(value['PHI'], value['THETA']).buffer(7.7/2)\n", - "\n", - "xrange = [165, 195]\n", - "yrange = [10, 30]" - ] - }, - { - "cell_type": "code", - "execution_count": 431, - "metadata": {}, - "outputs": [], - "source": [ - "rings = [LineString(list(pol.exterior.coords)) for pol in polygons.values()]\n", - "union = unary_union(rings)\n", - "result = {counter:geom for counter, geom in enumerate(polygonize(union))}\n", - "\n", - "ori = list(polygons.values())\n", - "res = list(result.values())" - ] - }, - { - "cell_type": "code", - "execution_count": 432, - "metadata": { - "code_folding": [] - }, - "outputs": [], - "source": [ - "dict_count_overlaps = {}\n", - "for i in range(len(res)):\n", - " dict_count_overlaps[i] = 0\n", - " for j in range(len(ori)):\n", - " if np.isclose(res[i].difference(ori[j]).area, 0):\n", - " dict_count_overlaps[i] +=1\n", - " #print(f\"res_{colors[i]}, orig_{j+1}\")" - ] - }, - { - "cell_type": "code", - "execution_count": 433, - "metadata": {}, - "outputs": [], - "source": [ - "max_multiplicity = max(dict_count_overlaps.values())\n", - "\n", - "cmap = plt.cm.get_cmap('rainbow')\n", - "color_list = cmap(np.linspace(0, 1, max_multiplicity))\n", - "bounds = np.arange(max_multiplicity + 1) + 1" - ] - }, - { - "cell_type": "code", - "execution_count": 434, - "metadata": { - "code_folding": [], - "scrolled": false - }, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "fig = plt.figure()\n", - "gs = mpl.gridspec.GridSpec(1, 2, width_ratios=[0.95, 0.05])\n", - "\n", - "ax = plt.subplot(gs[0])\n", - "ax_cb = plt.subplot(gs[1])\n", - "\n", - "fig.subplots_adjust(top=0.85)\n", - "\n", - "for pol_id, pol in result.items():\n", - " colore = dict_count_overlaps[pol_id]\n", - " ax.add_patch(\n", - " PolygonPatch(mapping(pol), color=color_list[colore-1])\n", - " )\n", - "\n", - "norm = mpl.colors.BoundaryNorm(bounds, cmap.N)\n", - "\n", - "cb1 = mpl.colorbar.ColorbarBase(ax_cb, \n", - " norm=norm, \n", - " cmap=cmap, \n", - " boundaries = bounds,\n", - " orientation='vertical')\n", - "cb1.set_ticks(np.arange(max_multiplicity + 1) + 0.5) \n", - "cb1.set_ticklabels(np.arange(max_multiplicity + 1) + 1)\n", - "\n", - "ax.set_xlim(*xrange)\n", - "ax.set_ylim(*yrange)\n", - "ax.set_aspect(1)\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**ori** are the original circles, whereas **res** are the single patches into which we have divided the circles. Each patch have a **.area** attribute\n" - ] - }, - { - "cell_type": "code", - "execution_count": 404, - "metadata": {}, - "outputs": [], - "source": [ - "hfov = []\n", - "for patchsky in res:\n", - " hfov.append(patchsky.area)\n", - " \n", - "hfov = np.array(hfov)" - ] - }, - { - "cell_type": "code", - "execution_count": 405, - "metadata": {}, - "outputs": [], - "source": [ - "# multiplicity associated with each patch\n", - "overlaps = np.array(list(dict_count_overlaps.values()))" - ] - }, - { - "cell_type": "code", - "execution_count": 406, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "2.692997022941306 2.0167715954044865 1.4201308374246673\n" - ] - } - ], - "source": [ - "average_overlap = np.average(overlaps, weights=hfov)\n", - "variance = np.average((overlaps-average_overlap)**2, weights=hfov)\n", - "print(average_overlap, variance, np.sqrt(variance))" - ] - }, - { - "cell_type": "code", - "execution_count": 407, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([2.37078081e+00, 1.83810243e-01, 2.54747799e+00, 3.11910704e+00,\n", - " 5.41758620e+00, 5.32819921e+00, 5.41118228e+00, 2.25343351e-02,\n", - " 1.68332210e+00, 6.77947721e+00, 9.36204002e+00, 5.26164544e+00,\n", - " 9.44144538e+00, 8.00181452e-01, 1.70224346e+00, 1.74442973e-01,\n", - " 2.37132511e+00, 1.05726322e+00, 1.22938669e-01, 9.84282342e+00,\n", - " 5.35033296e-01, 2.96865300e+00, 2.32128995e+00, 9.15138795e-01,\n", - " 3.13895883e-02, 3.56979089e-01, 2.97403172e+00, 2.55828433e+00,\n", - " 2.25766742e+00, 4.66508806e-02, 1.59285879e+00, 2.06711807e+00,\n", - " 2.63045736e+00, 1.91170642e-01, 1.51837648e+00, 2.74808909e+00,\n", - " 4.65200415e+00, 9.05903060e+00, 8.93708274e-01, 3.83225572e+00,\n", - " 4.49271535e-01, 8.66697725e+00, 8.48239501e-01, 7.01434867e-01,\n", - " 9.92233139e-03, 1.01278983e+01, 5.74805480e+00, 2.05706066e+01,\n", - " 6.26784606e+00, 2.09376218e+00, 4.44811465e-03])" - ] - }, - "execution_count": 407, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "hfov" - ] - }, - { - "cell_type": "code", - "execution_count": 445, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "6" - ] - }, - "execution_count": 445, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "overlaps.max()" - ] - }, - { - "cell_type": "code", - "execution_count": 450, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([1.05726322, 0.5350333 , 2.968653 , 2.06711807, 4.65200415])" - ] - }, - "execution_count": 450, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "hfov[overlaps==5]" - ] - }, - { - "cell_type": "code", - "execution_count": 460, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[41.288683562440376,\n", - " 44.04751650672514,\n", - " 44.64363602343846,\n", - " 21.535744058355395,\n", - " 11.280071725148245,\n", - " 9.84282341763381]" - ] - }, - "execution_count": 460, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "[hfov[overlaps==i].sum() for i in set(overlaps)]" - ] - }, - { - "cell_type": "code", - "execution_count": 455, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0.5, 0, 'multiplicity')" - ] - }, - "execution_count": 455, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.3" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/polar_plot_multiplicity/produce_multiplicity-shapely.ipynb b/polar_plot_multiplicity/produce_multiplicity-shapely.ipynb deleted file mode 100644 index e6f93f5..0000000 --- a/polar_plot_multiplicity/produce_multiplicity-shapely.ipynb +++ /dev/null @@ -1,496 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "import matplotlib as mpl\n", - "import copy" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "from descartes import PolygonPatch\n", - "from shapely.ops import unary_union, polygonize\n", - "from shapely.geometry import mapping, Polygon, Point, LineString\n", - "#from matplotlib.colors import ListedColormap" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "plt.rcParams['figure.figsize'] = (14, 10)\n", - "plt.rcParams['font.size'] = 12\n", - "plt.rcParams['figure.figsize']\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Polar FOVS" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "heading_collapsed": true - }, - "source": [ - "## load fovs" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "hidden": true - }, - "outputs": [], - "source": [ - "# FOV 05\n", - "div_05 = open(\"CTA-ULTRA6-LaPalma-divergent_05_180.cfg\")\n", - "text_05 = div_05.read()\n", - "text_05 = text_05.split(\"#\")[1:]\n", - "\n", - "tels_dict_05 = {}\n", - "for line in text_05:\n", - " line_list = line.split(\"\\n\")\n", - " tels_dict_05[int(line_list[0])] = {\n", - " line_list[1].split(\"=\")[0]: float(line_list[1].split(\"=\")[1]),\n", - " line_list[2].split(\"=\")[0]: float(line_list[2].split(\"=\")[1]),\n", - " }" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "hidden": true - }, - "outputs": [], - "source": [ - "# fov 2\n", - "div_2 = open(\"CTA-ULTRA6-LaPalma-divergent_2_180.cfg\")\n", - "text_2 = div_2.read()\n", - "text_2 = text_2.split(\"#\")[1:]\n", - "\n", - "tels_dict_2 = {}\n", - "for line in text_2:\n", - " line_list = line.split(\"\\n\")\n", - " tels_dict_2[int(line_list[0])] = {\n", - " line_list[1].split(\"=\")[0]: float(line_list[1].split(\"=\")[1]),\n", - " line_list[2].split(\"=\")[0]: float(line_list[2].split(\"=\")[1]),\n", - " }" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "hidden": true - }, - "outputs": [], - "source": [ - "# fov 3\n", - "div_3 = open(\"CTA-ULTRA6-LaPalma-divergent_3_180.cfg\")\n", - "text_3 = div_3.read()\n", - "text_3 = text_3.split(\"#\")[1:]\n", - "\n", - "tels_dict_3 = {}\n", - "for line in text_3:\n", - " line_list = line.split(\"\\n\")\n", - " tels_dict_3[int(line_list[0])] = {\n", - " line_list[1].split(\"=\")[0]: float(line_list[1].split(\"=\")[1]),\n", - " line_list[2].split(\"=\")[0]: float(line_list[2].split(\"=\")[1]),\n", - " }" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "hidden": true - }, - "outputs": [], - "source": [ - "# FOV 4\n", - "div_4 = open(\"CTA-ULTRA6-LaPalma-divergent_4_180.cfg\")\n", - "text_4 = div_4.read()\n", - "text_4 = text_4.split(\"#\")[1:]\n", - "\n", - "tels_dict_4 = {}\n", - "for line in text_4:\n", - " line_list = line.split(\"\\n\")\n", - " tels_dict_4[int(line_list[0])] = {\n", - " line_list[1].split(\"=\")[0]: float(line_list[1].split(\"=\")[1]),\n", - " line_list[2].split(\"=\")[0]: float(line_list[2].split(\"=\")[1]),\n", - " }" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## plot fovs" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "code_folding": [] - }, - "outputs": [], - "source": [ - "import numpy as np\n", - "\n", - "import matplotlib.pyplot as plt\n", - "import matplotlib.cbook as cbook\n", - "\n", - "from mpl_toolkits.axisartist import Subplot\n", - "from mpl_toolkits.axisartist import SubplotHost, ParasiteAxesAuxTrans\n", - "from mpl_toolkits.axisartist.grid_helper_curvelinear import GridHelperCurveLinear\n", - "import mpl_toolkits.axisartist.angle_helper as angle_helper\n", - "from matplotlib.projections import PolarAxes\n", - "from matplotlib.transforms import Affine2D\n", - "\n", - "\n", - "def polar_stuff(fig, data):\n", - " # PolarAxes.PolarTransform takes radian. However, we want our coordinate\n", - " # system in degree\n", - " tr = Affine2D().scale(np.pi/180., 1.).translate(+np.pi/2.,0) + PolarAxes.PolarTransform()\n", - "\n", - " # polar projection, which involves cycle, and also has limits in\n", - " # its coordinates, needs a special method to find the extremes\n", - " # (min, max of the coordinate within the view).\n", - "\n", - " # 20, 20 : number of sampling points along x, y direction\n", - " extreme_finder = angle_helper.ExtremeFinderCycle(20, 20,\n", - " lon_cycle=360,\n", - " lat_cycle=None,\n", - " lon_minmax=None,\n", - " lat_minmax=(-90, 90),\n", - " )\n", - "\n", - " grid_locator1 = angle_helper.LocatorDMS(12)\n", - " # Find a grid values appropriate for the coordinate (degree,\n", - " # minute, second).\n", - "\n", - " tick_formatter1 = angle_helper.FormatterDMS()\n", - " # And also uses an appropriate formatter. Note that,the\n", - " # acceptable Locator and Formatter class is a bit different than\n", - " # that of mpl's, and you cannot directly use mpl's Locator and\n", - " # Formatter here (but may be possible in the future).\n", - "\n", - " grid_helper = GridHelperCurveLinear(tr,\n", - " extreme_finder=extreme_finder,\n", - " grid_locator1=grid_locator1,\n", - " tick_formatter1=tick_formatter1\n", - " )\n", - "\n", - " ax1 = SubplotHost(fig, 1, 1, 1, grid_helper=grid_helper)\n", - "\n", - " # make ticklabels of right and top axis visible.\n", - " ax1.axis[\"right\"].major_ticklabels.set_visible(True)\n", - " ax1.axis[\"top\"].major_ticklabels.set_visible(True)\n", - "\n", - " # let right axis shows ticklabels for 1st coordinate (angle)\n", - " ax1.axis[\"right\"].get_helper().nth_coord_ticks = 0\n", - " # let bottom axis shows ticklabels for 2nd coordinate (radius)\n", - " ax1.axis[\"bottom\"].get_helper().nth_coord_ticks = 1\n", - "\n", - " fig.add_subplot(ax1)\n", - "\n", - " # A parasite axes with given transform\n", - " ax2 = ParasiteAxesAuxTrans(ax1, tr, \"equal\")\n", - " # note that ax2.transData == tr + ax1.transData\n", - " # Anything you draw in ax2 will match the ticks and grids of ax1.\n", - " ax1.parasites.append(ax2)\n", - " # intp = cbook.simple_linear_interpolation\n", - " #ax2.plot(intp(np.array([0, 30]), 50),\n", - " # intp(np.array([10., 10.]), 50),\n", - " # linewidth=2.0)\n", - "\n", - " for key, value in data.items():\n", - " if key < 5:\n", - " continue\n", - " theta = value['THETA']\n", - " phi = value['PHI']\n", - " # point.set_transform(ax2.transData)\n", - " # transform center coordinates: \n", - " # circle1 = plt.Circle(\n", - " # (\n", - " # (phi-180)*(theta/np.cos((phi-180)*np.pi/180))/90*np.pi/2,\n", - " # #(phi-180)*(theta)/(90),\n", - " # -theta*np.cos((phi-180)*np.pi/180)\n", - " # ), \n", - " # 7.7/2, color='r', alpha=0.1\n", - " # )\n", - " circle1 = plt.Circle(\n", - " (\n", - " (phi-180)*np.sin(theta*np.pi/180), \n", - " -theta*np.cos((phi-180)*np.pi/180)\n", - " ), \n", - " radius=7.7/2, \n", - " color=\"red\", alpha=0.2\n", - " )\n", - "\n", - "\n", - " ax1.add_artist(circle1)\n", - " point = ax1.scatter(phi, theta, c = \"b\", s = 20, zorder= 10, transform=ax2.transData)\n", - " # ax2.scatter(phi, theta, c = \"b\", s = 50)\n", - " ax2.annotate((key), (phi, theta), fontsize=15, xytext=(4, 4), textcoords='offset pixels')\n", - "\n", - " ax1.scatter(0, -20, label=\"MC\", zorder=20, c=\"green\")\n", - " ax2.annotate(\"MC\", (180, 20), \n", - " fontsize=30, xytext=(-15, 4), \n", - " textcoords='offset pixels', \n", - " zorder=30, color=\"green\")\n", - "\n", - "\n", - " ax1.set_xlim(-10,10)\n", - " ax1.set_ylim(-32, -8)\n", - " ax1.set_aspect(1.)\n", - " ax1.grid(True, zorder=0)\n", - " ax1.set_xlabel(\"Azimuth in degrees\", fontsize=20)\n", - " ax1.set_ylabel(\"Zenith in degrees\", fontsize=20)\n", - " return fig, point" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "tel_fake = {}\n", - "tel_fake[14] = {'PHI':190, 'THETA':30}\n", - "tel_fake[19] = {'PHI':150, 'THETA':12}\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "fig = polar_stuff(plt.figure(figsize=(10,8)), tels_dict_4)\n", - "#plt.xlabel(\"test\", fontsize=100)\n", - "plt.title(\"Pointing of MSTs: cfg 4\", fontsize=15, y=1.05)\n", - "#plt.title(\"test\",fontsize=50)\n", - "\n", - "# plt.savefig(\"fov-scale-cfg-4_180_sphere.jpg\", bbox_inches='tight')\n", - "plt.draw()\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "DISCLAIMER: this plot is almost ok. There must be some projection that I haven't taken into account when plotting the circle centers. " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# shapely" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# If you use the dummy, you can clearly see the superposition\n", - "\n", - "dummy_test = {}\n", - "dummy_test[1] = {'THETA': 20, 'PHI': 180}\n", - "dummy_test[2] = {'THETA': 20, 'PHI': 180.1}\n", - "dummy_test[3] = {'THETA': 20, 'PHI': 179.9}\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# instead of tel_dict_4, you can use tel_dummy\n", - "polygons = {}\n", - "for key, value in dummy_test.items():\n", - " polygons[key-1] = Point(value['PHI'], value['THETA']).buffer(7.7/2)\n", - "\n", - "xrange = [165, 195]\n", - "yrange = [10, 30]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "rings = [LineString(list(pol.exterior.coords)) for pol in polygons.values()]\n", - "union = unary_union(rings)\n", - "result = {counter:geom for counter, geom in enumerate(polygonize(union))}\n", - "\n", - "ori = list(polygons.values())\n", - "res = list(result.values())" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "code_folding": [] - }, - "outputs": [], - "source": [ - "dict_count_overlaps = {}\n", - "for i in range(len(res)):\n", - " dict_count_overlaps[i] = 0\n", - " for j in range(len(ori)):\n", - " if np.isclose(res[i].difference(ori[j]).area, 0):\n", - " dict_count_overlaps[i] +=1\n", - " #print(f\"res_{colors[i]}, orig_{j+1}\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "max_multiplicity = max(dict_count_overlaps.values())\n", - "\n", - "cmap = plt.cm.get_cmap('rainbow')\n", - "color_list = cmap(np.linspace(0, 1, max_multiplicity))\n", - "bounds = np.arange(max_multiplicity + 1) + 1" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "code_folding": [], - "scrolled": false - }, - "outputs": [], - "source": [ - "fig = plt.figure()\n", - "gs = mpl.gridspec.GridSpec(1, 2, width_ratios=[0.95, 0.05])\n", - "\n", - "ax = plt.subplot(gs[0])\n", - "ax_cb = plt.subplot(gs[1])\n", - "\n", - "fig.subplots_adjust(top=0.85)\n", - "\n", - "for pol_id, pol in result.items():\n", - " colore = dict_count_overlaps[pol_id]\n", - " ax.add_patch(\n", - " PolygonPatch(mapping(pol), color=color_list[colore-1])\n", - " )\n", - "\n", - "norm = mpl.colors.BoundaryNorm(bounds, cmap.N)\n", - "\n", - "cb1 = mpl.colorbar.ColorbarBase(ax_cb, \n", - " norm=norm, \n", - " cmap=cmap, \n", - " boundaries = bounds,\n", - " orientation='vertical')\n", - "cb1.set_ticks(np.arange(max_multiplicity + 1) + 0.5) \n", - "cb1.set_ticklabels(np.arange(max_multiplicity + 1) + 1)\n", - "\n", - "ax.set_xlim(*xrange)\n", - "ax.set_ylim(*yrange)\n", - "ax.set_aspect(1)\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**ori** are the original circles, whereas **res** are the single patches into which we have divided the circles. Each patch have a **.area** attribute\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "hfov = []\n", - "for patchsky in res:\n", - " hfov.append(patchsky.area)\n", - " \n", - "hfov = np.array(hfov)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# multiplicity associated with each patch\n", - "overlaps = np.array(list(dict_count_overlaps.values()))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "average_overlap = np.average(overlaps, weights=hfov)\n", - "variance = np.average((overlaps-average_overlap)**2, weights=hfov)\n", - "print(average_overlap, variance, np.sqrt(variance))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.6.9" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/requirements.txt b/requirements.txt new file mode 100644 index 0000000..d2ce1c6 --- /dev/null +++ b/requirements.txt @@ -0,0 +1,8 @@ +astroplan==0.8 +astropy==4.3.1 +descartes==1.1.0 +ipython==8.0.1 +ipywidgets==7.6.3 +matplotlib==3.3.3 +numpy==1.20.0 +Shapely==1.8.0