{
“cells”: [
{

“cell_type”: “markdown”, “metadata”: {}, “source”: [

“# Imshow”

]

}, {

“cell_type”: “code”, “execution_count”: 1, “metadata”: {}, “outputs”: [], “source”: [

“%matplotlib notebookn”, “import numpy as npn”, “import matplotlib.pyplot as pltn”, “import animatplot as amp”

]

}, {

“cell_type”: “markdown”, “metadata”: {}, “source”: [

“First we focus on creating the data. An ising model is used to make this data.”

]

}, {

“cell_type”: “code”, “execution_count”: 2, “metadata”: {}, “outputs”: [], “source”: [

“# Define LxL matrixn”, “L = 55n”, “# Initialize as random spinn”, “M = 2 * (np.random.rand(L, L) > 0.5) - 1n”, “J = 1n”, “b = 2.5n”, “n”, “nPer = 100n”, “n”, “images = [M]n”, “for i in range(100):n”, “ M = M.copy()n”, “ for dm in range(nPer):n”, “ jj = int(np.random.rand() * L - 1)n”, “ kk = int(np.random.rand() * L - 1)n”, “ dE = (n”, “ 2n”, “ * Jn”, “ * (M[jj + 1, kk] + M[jj - 1, kk] + M[jj, kk + 1] + M[jj, kk - 1])n”, “ * M[jj, kk]n”, “ )n”, “ if dE <= 0:n”, “ M[jj, kk] *= -1n”, “ else:n”, “ if np.random.rand() < np.exp(-b * dE):n”, “ M[jj, kk] *= -1n”, “ images.append(M)n”, “ M[:, -1] = M[:, 0]n”, “ M[-1, :] = M[0, :]”

]

}, {

“cell_type”: “markdown”, “metadata”: {}, “source”: [

“Now we plot it.”

]

}, {

“cell_type”: “code”, “execution_count”: 3, “metadata”: {}, “outputs”: [

{
“data”: {
“application/javascript”: [

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But how to set the MIME type? It doesn’t seemn”, “ * to be part of the websocket stream /n”, “ evt.data.type = "image/png";n”, “n”, “ / Free the memory for the previous frames /n”, “ if (fig.imageObj.src) {n”, “ (window.URL || window.webkitURL).revokeObjectURL(n”, “ fig.imageObj.src);n”, “ }n”, “n”, “ fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(n”, “ evt.data);n”, “ fig.updated_canvas_event();n”, “ fig.waiting = false;n”, “ return;n”, “ }n”, “ else if (typeof evt.data === ‘string’ && evt.data.slice(0, 21) == "data:image/png;base64") {n”, “ fig.imageObj.src = evt.data;n”, “ fig.updated_canvas_event();n”, “ fig.waiting = false;n”, “ return;n”, “ }n”, “n”, “ var msg = JSON.parse(evt.data);n”, “ var msg_type = msg[‘type’];n”, “n”, “ // Call the "handle_{type}" callback, which takesn”, “ // the figure and JSON message as its only arguments.n”, “ try {n”, “ var callback = fig["handle_" + msg_type];n”, “ } catch (e) {n”, “ console.log("No handler for the ‘" + msg_type + "’ message type: ", msg);n”, “ return;n”, “ }n”, “n”, “ if (callback) {n”, “ try {n”, “ // console.log("Handling ‘" + msg_type + "’ message: ", msg);n”, “ callback(fig, msg);n”, “ } catch (e) {n”, “ console.log("Exception inside the ‘handler_" + msg_type + "’ callback:", e, e.stack, msg);n”, “ }n”, “ }n”, “ };n”, “}n”, “n”, “// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvasn”, “mpl.findpos = function(e) {n”, “ //this section is from http://www.quirksmode.org/js/events_properties.htmln”, “ var targ;n”, “ if (!e)n”, “ e = window.event;n”, “ if (e.target)n”, “ targ = e.target;n”, “ else if (e.srcElement)n”, “ targ = e.srcElement;n”, “ if (targ.nodeType == 3) // defeat Safari bugn”, “ targ = targ.parentNode;n”, “n”, “ // jQuery normalizes the pageX and pageYn”, “ // pageX,Y are the mouse positions relative to the documentn”, “ // offset() returns the position of the element relative to the documentn”, “ var x = e.pageX - $(targ).offset().left;n”, “ var y = e.pageY - $(targ).offset().top;n”, “n”, “ return {"x": x, "y": y};n”, “};n”, “n”, “/n”, “ * return a copy of an object with only non-object keysn”, “ * we need this to avoid circular referencesn”, “ * http://stackoverflow.com/a/24161582/3208463n”, “ /n”, “function simpleKeys (original) {n”, “ return Object.keys(original).reduce(function (obj, key) {n”, “ if (typeof original[key] !== ‘object’)n”, “ obj[key] = original[key]n”, “ return obj;n”, “ }, {});n”, “}n”, “n”, “mpl.figure.prototype.mouse_event = function(event, name) {n”, “ var canvas_pos = mpl.findpos(event)n”, “n”, “ if (name === ‘button_press’)n”, “ {n”, “ this.canvas.focus();n”, “ this.canvas_div.focus();n”, “ }n”, “n”, “ var x = canvas_pos.x * mpl.ratio;n”, “ var y = canvas_pos.y * mpl.ratio;n”, “n”, “ this.send_message(name, {x: x, y: y, button: event.button,n”, “ step: event.step,n”, “ guiEvent: simpleKeys(event)});n”, “n”, “ / This prevents the web browser from automatically changing ton”, “ * the text insertion cursor when the button is pressed. We wantn”, “ * to control all of the cursor setting manually through then”, “ * ‘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 eventn”, “}n”, “n”, “mpl.figure.prototype.key_event = function(event, name) {n”, “n”, “ // Prevent repeat eventsn”, “ if (name == ‘key_press’)n”, “ {n”, “ if (event.which === this._key)n”, “ return;n”, “ elsen”, “ this._key = event.which;n”, “ }n”, “ if (name == ‘key_release’)n”, “ this._key = null;n”, “n”, “ var value = ‘’;n”, “ if (event.ctrlKey && event.which != 17)n”, “ value += "ctrl+";n”, “ if (event.altKey && event.which != 18)n”, “ value += "alt+";n”, “ if (event.shiftKey && event.which != 16)n”, “ value += "shift+";n”, “n”, “ value += ‘k’;n”, “ value += event.which.toString();n”, “n”, “ this._key_event_extra(event, name);n”, “n”, “ this.send_message(name, {key: value,n”, “ guiEvent: simpleKeys(event)});n”, “ return false;n”, “}n”, “n”, “mpl.figure.prototype.toolbar_button_onclick = function(name) {n”, “ if (name == ‘download’) {n”, “ this.handle_save(this, null);n”, “ } else {n”, “ this.send_message("toolbar_button", {name: name});n”, “ }n”, “};n”, “n”, “mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {n”, “ this.message.textContent = tooltip;n”, “};n”, “mpl.toolbar_items = [["Home", "Reset original view", "fa fa-home icon-home", "home"], ["Back", "Back to previous view", "fa fa-arrow-left icon-arrow-left", "back"], ["Forward", "Forward to next view", "fa fa-arrow-right icon-arrow-right", "forward"], ["", "", "", ""], ["Pan", "Pan axes with left mouse, zoom with right", "fa fa-arrows icon-move", "pan"], ["Zoom", "Zoom to rectangle", "fa fa-square-o icon-check-empty", "zoom"], ["", "", "", ""], ["Download", "Download plot", "fa fa-floppy-o icon-save", "download"]];n”, “n”, “mpl.extensions = ["eps", "jpeg", "pdf", "png", "ps", "raw", "svg", "tif"];n”, “n”, “mpl.default_extension = "png";var comm_websocket_adapter = function(comm) {n”, “ // Create a "websocket"-like object which calls the given IPython commn”, “ // object with the appropriate methods. Currently this is a non binaryn”, “ // 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 processn”, “ // 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 Commn”, “ // socket was opened in Python.n”, “ var element = $("#" + id);n”, “ var ws_proxy = comm_websocket_adapter(comm)n”, “n”, “ function ondownload(figure, format) {n”, “ window.open(figure.imageObj.src);n”, “ }n”, “n”, “ var fig = new mpl.figure(id, ws_proxy,n”, “ ondownload,n”, “ element.get(0));n”, “n”, “ // Call onopen now - mpl needs it, as it is assuming we’ve passed it a realn”, “ // web socket which is closed, not our websocket->open comm proxy.n”, “ ws_proxy.onopen();n”, “n”, “ fig.parent_element = element.get(0);n”, “ fig.cell_info = mpl.find_output_cell("<div id=’" + id + "’></div>");n”, “ if (!fig.cell_info) {n”, “ console.error("Failed to find cell for figure", id, fig);n”, “ return;n”, “ }n”, “n”, “ var output_index = fig.cell_info[2]n”, “ var cell = fig.cell_info[0];n”, “n”, “};n”, “n”, “mpl.figure.prototype.handle_close = function(fig, msg) {n”, “ var width = fig.canvas.width/mpl.ration”, “ fig.root.unbind(‘remove’)n”, “n”, “ // Update the output cell to use the data from the current canvas.n”, “ fig.push_to_output();n”, “ var dataURL = fig.canvas.toDataURL();n”, “ // Re-enable the keyboard manager in IPython - without this line, in FF,n”, “ // the notebook keyboard shortcuts fail.n”, “ IPython.keyboard_manager.enable()n”, “ $(fig.parent_element).html(‘<img src="’ + dataURL + ‘" width="’ + width + ‘">’);n”, “ fig.close_ws(fig, msg);n”, “}n”, “n”, “mpl.figure.prototype.close_ws = function(fig, msg){n”, “ fig.send_message(‘closing’, msg);n”, “ // fig.ws.close()n”, “}n”, “n”, “mpl.figure.prototype.push_to_output = function(remove_interactive) {n”, “ // Turn the data on the canvas into data in the output cell.n”, “ var width = this.canvas.width/mpl.ration”, “ var dataURL = this.canvas.toDataURL();n”, “ this.cell_info[1][‘text/html’] = ‘<img src="’ + dataURL + ‘" width="’ + width + ‘">’;n”, “}n”, “n”, “mpl.figure.prototype.updated_canvas_event = function() {n”, “ // Tell IPython that the notebook contents must change.n”, “ IPython.notebook.set_dirty(true);n”, “ this.send_message("ack", {});n”, “ var fig = this;n”, “ // Wait a second, then push the new image to the DOM son”, “ // that it is saved nicely (might be nice to debounce this).n”, “ setTimeout(function () { fig.push_to_output() }, 1000);n”, “}n”, “n”, “mpl.figure.prototype._init_toolbar = function() {n”, “ var fig = this;n”, “n”, “ var nav_element = $(‘<div/>’)n”, “ nav_element.attr(‘style’, ‘width: 100%’);n”, “ this.root.append(nav_element);n”, “n”, “ // Define a callback function for later on.n”, “ function toolbar_event(event) {n”, “ return fig.toolbar_button_onclick(event[‘data’]);n”, “ }n”, “ function toolbar_mouse_event(event) {n”, “ return fig.toolbar_button_onmouseover(event[‘data’]);n”, “ }n”, “n”, “ for(var toolbar_ind in mpl.toolbar_items){n”, “ var name = mpl.toolbar_items[toolbar_ind][0];n”, “ var tooltip = mpl.toolbar_items[toolbar_ind][1];n”, “ var image = mpl.toolbar_items[toolbar_ind][2];n”, “ var method_name = mpl.toolbar_items[toolbar_ind][3];n”, “n”, “ if (!name) { continue; };n”, “n”, “ var button = $(‘<button class="btn btn-default" href="#" title="’ + name + ‘"><i class="fa ‘ + image + ‘ fa-lg"></i></button>’);n”, “ button.click(method_name, toolbar_event);n”, “ button.mouseover(tooltip, toolbar_mouse_event);n”, “ nav_element.append(button);n”, “ }n”, “n”, “ // Add the status bar.n”, “ var status_bar = $(‘<span class="mpl-message" style="text-align:right; float: right;"/>’);n”, “ nav_element.append(status_bar);n”, “ this.message = status_bar[0];n”, “n”, “ // Add the close button to the window.n”, “ var buttongrp = $(‘<div class="btn-group inline pull-right"></div>’);n”, “ var button = $(‘<button class="btn btn-mini btn-primary" href="#" title="Stop Interaction"><i class="fa fa-power-off icon-remove icon-large"></i></button>’);n”, “ button.click(function (evt) { fig.handle_close(fig, {}); } );n”, “ button.mouseover(‘Stop Interaction’, toolbar_mouse_event);n”, “ buttongrp.append(button);n”, “ var titlebar = this.root.find($(‘.ui-dialog-titlebar’));n”, “ titlebar.prepend(buttongrp);n”, “}n”, “n”, “mpl.figure.prototype._root_extra_style = function(el){n”, “ var fig = thisn”, “ el.on("remove", function(){n”, “tfig.close_ws(fig, {});n”, “ });n”, “}n”, “n”, “mpl.figure.prototype._canvas_extra_style = function(el){n”, “ // this is important to make the div ‘focusablen”, “ el.attr(‘tabindex’, 0)n”, “ // reach out to IPython and tell the keyboard manager to turn it’s selfn”, “ // off when our div gets focusn”, “n”, “ // location in version 3n”, “ if (IPython.notebook.keyboard_manager) {n”, “ IPython.notebook.keyboard_manager.register_events(el);n”, “ }n”, “ else {n”, “ // location in version 2n”, “ IPython.keyboard_manager.register_events(el);n”, “ }n”, “n”, “}n”, “n”, “mpl.figure.prototype._key_event_extra = function(event, name) {n”, “ var manager = IPython.notebook.keyboard_manager;n”, “ if (!manager)n”, “ manager = IPython.keyboard_manager;n”, “n”, “ // Check for shift+entern”, “ if (event.shiftKey && event.which == 13) {n”, “ this.canvas_div.blur();n”, “ event.shiftKey = false;n”, “ // Send a "J" for go to next celln”, “ event.which = 74;n”, “ event.keyCode = 74;n”, “ manager.command_mode();n”, “ manager.handle_keydown(event);n”, “ }n”, “}n”, “n”, “mpl.figure.prototype.handle_save = function(fig, msg) {n”, “ fig.ondownload(fig, null);n”, “}n”, “n”, “n”, “mpl.find_output_cell = function(html_output) {n”, “ // Return the cell and output element which can be found *uniquely in the notebook.n”, “ // Note - this is a bit hacky, but it is done because the "notebook_saving.Notebook"n”, “ // IPython event is triggered only after the cells have been serialised, which forn”, “ // 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 outputn”, “ data = data.data;n”, “ }n”, “ if (data[‘text/html’] == html_output) {n”, “ return [cell, data, j];n”, “ }n”, “ }n”, “ }n”, “ }n”, “}n”, “n”, “// Register the function which deals with the matplotlib target/channel.n”, “// The kernel may be null if the page has been refreshed.n”, “if (IPython.notebook.kernel != null) {n”, “ IPython.notebook.kernel.comm_manager.register_target(‘matplotlib’, mpl.mpl_figure_comm);n”, “}n”

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PgewD4x+Y4JHbvV+r75IIBaUghgcWLMtCSAAFrSbPhaTzzxhEyfPl0WLFggS5YskbvvvlsmTZrUnfWqVatk6tSpcsMNN8jSpUtl9913l+uuu07GjRvnTQYBRAB9msVKchBAH9p+Y7QsrWroF12co3yZcQUwzvqlHhUCmHoFK4z/oYcekqefflp22WUX+elPf7qGAF5xxRVy6aWXyuzZs2WbbbaRSy65RJw0vvrqqzJ48GCvSC0FUHvA+P4y9kqk5CBt7NrtYspVG7sbb8VHw0H7lTp1xFiEjdXDJBqWReIs0iexz/FlhgDGXsk040MA06xb7VEPGDBgNQF0V/9GjRolZ555ppx33nlZfCtWrJCNN95YnBiefPLJXjEjgFwB9GmUOuQKAey/Mr4y07WKVQ19+iXWMb7MEMBYK5h2XAhg2vWrLfreAvj666/L2LFj5fnnn5edd965O66JEyfKsGHDZM6cOV6xIoAIoE+jWMmD7wHc3xUrqytonfLWxFjkyppV/KHj9OmL1Mb4MkMAU6tsGvEigGnUKbooewvgM888I3vvvbe888472ZXArtdJJ50kb775pjzyyCN95uCuErr/ul5OAMeMGSNLf7WlDBk8sFTeWknw/WVcKijPydrYPZftHhZTrtrYi0iOhVxxBbD/Sml7KnSPF+mrquf4MkMAq65MO/ZDANtRZ/MsOwng4sWLZZNNNune78QTT5RFixbJww8/3GcMU6ZMyR4c6f1CAHcyr1nPBX0PnqBBlFjcSh40HBBABLBEy/Y51bf/EEBr8qznCCCA9EEhAla3gLkC2Dd+K8GxuPJVqEECT7Li43sA93fV0eoWqlWttGys4tewtLyKG7jVgi7vywwBDFqG1i6OALa29OUS7/QQyFlnnSXnnntutvjKlStlo402KvQQyH4yUdYasHa5IGua7ftLvb/wtIe4NlWLGLV7VpFvTHmFrmFdwmhZd9byI/D1ql/LPLlXli1bJkOGDPGbxCgI5BBAAGkRbwKfffaZvPbaa9l496DHVVddJfvvv7+MGDFCNttss0z0pk2bJjfffLNsvfXWctlll8m8efMKfQ0MAtiuW8BWsoQAimgZWLH3/kXCQDUBBFCNjAkeBBBAD0gM+Y6AkzknfL1fxx57bPbdf11fBD1r1qzVvgh6/Pjx3gi7ngJGABFA76bpMVArP0X28J1Tl1hpGdQVpy9HxokggHRBCAIIYAiqrFmYAAL4HbrQh7JWEgoX1HOiVb4x5WWVkyfC7mFaBnXFqc2rzeMRwDZXP1zuCGA4tqxcgAACiAAWaJvC8lNmr7y5dYkVAphXmfR+jgCmV7MUIkYAU6hSi2JEABHAMu2ulZ8ye+XNRQDzCPFzXwIIoC8pxmkIIIAaWowNTqAJAtgXJK2Y1CUPnQqsjV/bKFb5auPUfrdfX3lZxa5lZlUrbfxWXxtjlW8b1kEA21Dl6nNEAKtnzo79EEAAq7kCqG1CrVhp19dKSGj50eRrFbuWWWgG2vVj42DFM4Z1EMAYqtC8GBDA5tU06YwQQASwTANrxM3twxVA/QNHXAEs06HF5iKAxbgxq38CCCAdEhUBBBABLNOQCGD47wFEAMt0aLG5CGAxbsxCAOmBhAgggAhgmXZFABHAMv0T61wEMNbKpB0XVwDTrl/jokcAEcAyTY0AIoBl+ifWuQhgrJVJOy4EMO36NS76pgpg6oXSipU2X6sHCELH2VdeVrFrmXUaXwcDF0tsHKx4atbRsvdlhgBqqsBYXwIIoC8pxlVCAAGsBLN6E+3Bpt3A9yDMWzd0nAhg5wpY1TCvxjH/XNt/vswQwJirnm5sCGC6tWtk5AhgnGXVHmzaLHwPwrx1Q8eJACKA/fWgtv98+x4BzHvn8/MiBBDAItSYE4wAAhgMbamFtQebdjPfgzBv3dBxIoAIIAKY9y7k56kQQABTqVRL4kQA4yx0aLFCAO3qHrpWnSK1qqEdiepX0rL3ZcYVwOpr2YYdEcA2VDmhHBHAOIulPdi0WfgehHnrho6TK4BcAeQKYN67kJ+nQgABTKVSLYkTAey/0HV9CW8dYuVIaMWwjji1MYZ+K4dm0MR8tTlpGWvX790jXAEM/a5p5/oIYDvrHm3WCCAC2JOA9uDUHswWbwRtjBZ7Wl6F0sbTxHy1OWn7TLs+AqjtSsYXIYAAFqHGnGAEEEAEEAEs9/bSyol2t7Iyo90vb7xFvtqctHtq10cA86rOzy0IIIAWFFnDjAACiAAigOXeTlo50e5WVma0++WNt8hXm5N2T+36CGBe1fm5BQEE0IIia5gRQAARQASw3NtJKyfa3crKjHa/vPEW+Wpz0u6pXR8BzKs6P7cggABaUGQNMwIIIAKIAJZ7O2nlRLtbWZnR7pc33iJfbU7aPbXrI4B5VefnFgQQQAuKrGFGoE4BrOsJWzN4ARfSHnhWoWgPzpBxamOxYqBdJyQDF0toDqHj1/DslGvVvyt4ClhTNcb6EkAAfUkxrhICCGAlmNWb1HUoa2UjZJzaWNSQjSaEZIAAflckBNCoWVmmVgIIYK342bw3AQQwzp4ILRWdstZKV8g4tbHUVcmQDBBABLCuvmZfewIIoD1TVixBAAEsAS/g1NBSgQDaFS90rUKLcOj4NaS5BayhxdjUCCCAqVWs4fEigHEWuK5DWSsbIePUxlJXJUMy4AogVwDr6mv2tSeAANozZcUSBBDAEvACTg0tFVwBtCte6FqFFuHQ8WtIcwVQQ4uxqRFAAFOrWMPjLSKAoQ+M0Adew0u6WnpWtdIezCEZp9IfodlrGVvFo91XMz6W2vIUsKZqjPUlgAD6kmJcJQQQwEow17aJ1aGPAOpLGJq9NiKreLT7asYjgBpajE2NAAKYWsUaHi8C2OwCWx36CKC+T0Kz10ZkFY92X814BFBDi7GpEUAAU6tYw+NFAJtdYKtDHwHU90lo9tqIrOLR7qsZjwBqaDE2NQIIYGoVa3i8CGCzC2x16COA+j4JzV4bkVU82n014xFADS3GpkYAAUytYg2PFwFsdoGtDn0EUN8nodlrI7KKR7uvZjwCqKHF2NQIIICpVazh8dYpgLH8sm9yiUP/Ca06pCKVvgnNPnTftrm2PAUcurvauT4C2M66R5s1AhhtaUwCCy0hbZaEvAKFZp+3f9mft7m2CGDZ7mF+XwQQQPoiKgIIYFTlMA8mtIS0WRLyihWafd7+ZX/e5toigGW7h/kIID0QPQEEMPoSlQowtIS0WRLyChOafd7+ZX/e5toigGW7h/kIID0QPQEEMPoSlQowtIS0WRLyChOafd7+ZX/e5toigGW7h/kIID0QPQEEMPoSlQowtIS0WRLyChOafd7+ZX/e5toigGW7h/kIID0QPYEiAtgpKe2BUcfTnNoYO+VaR+xFmskq3yJ7h5rTNvZ15VtH79SVa+9eRQBDvXvbvS4PgbS7/tFljwAWK0ksB1Ve9HUc4nkxlf1529jXlW8dvVNXrghg2Xcl830IIIA+lBhTGQEEsBjqWA6qvOjrOMTzYir787axryvfOnqnrlwRwLLvSub7EEAAfSgxpjICCGAx1LEcVHnR13GI58VU9udtY19XvnX0Tl25IoBl35XM9yGAAPpQYkxlBBDAYqhjOajyoq/jEM+LqezP28a+rnzr6J26ckUAy74rme9DAAH0ocSYyggggMVQx3JQ5UVfxyGeF1PZn7eNfV351tE7deWKAJZ9VzLfhwAC6EOJMZURqFMArZLUHBp1HGouT02M/XGpK36rWlmsY8XSIpYqaqXNN/TXz4TsQW2uoWrIU8ChyLZ7XQSw3fWPLnsEsJqSWB1sIQ/fakiU38WKZflI+l/BqlbafBHA8pVFAMszZIU1CSCAdEVUBBDAasqhPcQ7RWUlFdVkHWYXK5ZhovvNqla10uaLAJavLAJYniErIID0QOQEEMBqCqQ9xBHAznWxYhm68gignnAstUUA9bVjRj4BrgDmM2JEhQQQwGpgWx1sVlJRTdZhdrFiGSY6rgCW4RpLbRHAMlVkbicCCCC94U1g2rRpctddd8krr7wi6667ruy1115yxRVXyLbbbtu9xooVK+Scc86R2267Tb788ks54IADZMaMGTJ69GivfRBAL0ylB1kdbAig3QM1pYuas4BVrbS9wy3g8pVFAMszZIU1CSCAdIU3gUMOOUSOPvpo2W233eTrr7+WCy64QF588UV5+eWXZf3118/WOeWUU+S+++6T2bNny4Ybbihnn322fPzxx7JgwQIZNGhQ7l5FBNDqYMsNznOA9oDsa9nYcvJMvZXDLOpdBbjYesqKW8i8rGIsW18EsCxB5vdFAAGkLwoT+OCDD2SjjTaS+fPny7777ivLli2TkSNHyty5c+Woo47K1l28eLGMGTNGHnzwQTn44INz90IAv0MU8lDLLQIDVARikYS8oGPrKStuIfOyijGvNnk/RwDzCPHzIgQQwCLUmJMReO2112TrrbfOrgKOHz9eHn/88eyWr7viN3z48G5KO+64o0yaNEmmTp26Bjl3y9j91/VyAuiEcT+ZKGsNWNuLdMgDwCuAXoMsDo3YcirCoS1zLOpdBavYesqKW8i8rGIsW18EsCxB5vdFAAGkLwoRWLVqlUycOFGWLl0qTz75ZLbGrbfeKscff/xqQuf+94MOOki22GILmTVr1hp7TZkypU8xRAAXFqoLk6onEIsk5GUeUpTy9u7r51bcQuZlFWMRPj3nIIBlCTIfAaQHzAicdtpp8sADD8hTTz3V/YBHJwGcMGGCjB07VmbOnMkVQM8KhDzUPENgmCeBWCQhL9zYesqKW8i8rGLMq03ezxHAPEL8vAgBrgAWodbyOaeffrrcc8898sQTT2RX9rpeRW4B90bJZwC/IxLyUGt5+5qnH4sk5CUWW09ZcQuZl1WMebXJ+zkCmEeInxchgAAWodbSOe62r5O/u+++W+bNm5d9/q/nq+shkFtuuUWOPPLI7EdLlizJrhCGfAgkdDm0B4zFoaHdMzSDTut3yjV0/FrGFvFo96yrJha51hV7f/vW1WsaFqF6BAHUVIGxvgQQQF9SjJNTTz01+5zfvffeu9p3/w0dOjT7XkD3cl8Dc//992dfAzNixIjsOwE/+uijoF8DE7o02gPV4hDQ7hmaAQLYvu/7q6unYus1DQeL935f+yGAmiow1pcAAuhLinEyYMCAPincfPPNctxxx2U/++qrr2Ty5MmZKPb8Imj3ZK/Pq8gtYJ91y4zRypjFIaDds0x+ZebWdVVGy9iCp3bPMlzLzLXItcz+oebW1WuafEL1CAKoqQJjfQkggL6kGFcJAQTwO8ypHOJ1Hcrag9aCp3bPSt4wfWxikWtdsfe3b129pmERqkcQQE0VGOtLAAH0JcW4SggggAigT6NpD1oLKdLu6ZNHiDEWuYaIq+yaCOC92ZftDxkypCxK5kMgI4AA0ghREUAAEUCfhtTKmIUUaff0ySPEGItcQ8RVdk0EEAEs20PMX50AAkhHREWgbQIY+rBORVo6NaGWT0hJSIWllpnVL4AU+IRmE4oBt4CtupR1ehJAAOmHqAgggLblCHUg2UbZeTXtgY0A1vf50RR6TdtP2j4PxQAB1FaC8T4EEEAfSoypjAACaIs61IFkGyUCaMkztOR0ijWFXgvNJhQDBNDyHcJaXQQQQHohKgIIoG05Qh1ItlEigJY8Q0sOAti5WqHebwig5TuEtRBAeiBKAgigbVlCHUi2USKAljwRQLt+0tYl1PsNAdRWgvE+BLgC6EOJMZURQABtUYc6kGyjtDuw+QwgnwHsrzdDy3Go9xsCWNVvnHbtgwC2q97RZxujAIaEZnUghTp4QuZeZm0rbinfzuwUO2z0nWXFLNT7EAHU15QZ+QQQwHxGjKiQAAJYDHaog6dYNOFnWR3YCKC+Vk3sNat+CsUGAdT3KTPyCSCA+YwYUSEBBLAY7FAHT7Fows+yOrARQH2tmthrVv0Uig0CqO9TZuQTQADzGTGiQgIIYDHYocz9N44AACAASURBVA6eYtGEn2V1YCOA+lo1sdes+ikUGwRQ36fMyCeAAOYzYkSFBBDAYrBDHTzFogk/y+rARgD1tWpir1n1Uyg2CKC+T5mRTwABzGfEiAoJIIDFYIc6eIpFE36W1YGNAOpr1cRes+qnUGwQQH2fMiOfAAKYz4gRFRJAAIvBDnXwdEVjdUBaCVds8RSrWphZsNFztWIW6n2IAOpryox8AghgPiNGVEgAASwGO9TBgwAWq0eds6xkxkrW62Thu7cVs1DvQwTQt5KM0xBAADW0GBucAAJYDHGogwcBLFaPOmdZyQwCqK9iqPchAqivBTPyCSCA+YwYUSEBBLAY7FAHDwJYrB51zkIA9fStmIV6HyKA+poyI58AApjPiBEVEkAAi8EOdfAggMXqUecsK5nhCqC+iqHehwigvhbMyCeAAOYzYkSFBBDAYrBDHTwIYLF61DkLAdTTt2IW6n2IAOpryox8AghgPiNGVEgAAawQdkRbWR2csR/kVSC3YqCN1aqGnfbV5KWNRbO2losbr42n9x4IYBHqzMkjgADmEeLnlRJAACvFHc1mZQ9I6yuVVvHUATi0zHTKKTQzTV7aWDRrF6mpNh4EsAhl5mgJIIBaYowPSgABDIo32sXLHpAI4G9KG1pmEED926hsf3MFUM+cGfkEEMB8RoyokAACWCHsiLYqe0AigAhgz3bW9lNoadbGwxXAiH45NTgUBLDBxU0xNQQwxaqVj7nsAYkAIoAIYPn3ISu0iwAC2K56R58tAhh9iYIEiADaYQ19NYtbwPpale1vbgHrmTMjnwACmM+IERUSaKoA1nUoV1g6r63KHoRem7R8UGy9ZlVzTV5We8bSSghgLJVoVhwIYLPqmXw2CGDyJew3gaYdzDFWSyNKVcRvVXNNXlZ7VsHHZw8E0IcSY7QEEEAtMcYHJYAABsVb++JNO5hrB9pHABpRqiJ+q5pr8rLaswo+PnsggD6UGKMlgABqiTE+KAEEMCje2hdv2sFcO1AEsM8SNK3PEMAY32npx4QApl/DRmWAADaqnGsk07SDOcZqaa6UVRG/Vc01eVntWQUfnz0QQB9KjNESQAC1xBgflAACGBRv7Ys37WCuHShXALkCGGMTElMSBBDAJMrUniARwGbUGtGLr46aK2iW0Wt7wSJO7Z6W+YZYiyuAIaiyJgJID0RFAAGMqhyFg2naAVwYREQTLcSqSDraXrCIU7tnkbyqnIMAVkm7PXshgO2pdRKZIoBJlCk3yKYdwLkJJzDAQqyKpKntBYs4tXsWyavKOQhglbTbsxcC2J5aJ5EpAphEmXKDbNoBnJtwAgMsxKpImtpesIhTu2eRvKqcgwBWSbs9eyGA7al1EpkigEmUKTfIph3AuQknMMBCrIqkqe0Fizi1exbJq8o5CGCVtNuzFwLYnlonkWkTBNDiAEuiWAWCbNrBXABBxynavtGy1K5vmVvVa6XOpnf8CGDVHdSO/RDAdtQ5mSwRwGRKVShQ7cFcaJNEJ2kFTctSu36iGLOwU2eDAKbcfenEjgCmU6tWRIoANrvM2oO52TRWz04raFqW2vVTZp86GwQw5e5LJ3YEMJ1atSJSBLDZZdYezM2mgQCGqq+2z2KTYwQwVGewbk8CCCD9EBUBBDCqcpgHoz2YzQOIeEGthGhZatePGFVuaKmzQQBzS8wAAwIIoAFElrAjgADasYxxJe3BHGMOoWLSCpqWpXb9UHlWsW7qbBDAKrqEPRBAeiAqAl0CuPRXW8qQwQO9YtP+svda1GNQmw5UDxxBhtRV2yDJ5CzaqZ9CM6irj7V51RVnHb3Qe89Pl38rw7d5XZYtWyZDhgyJISRiaAABBLABRWxSCghgk6pZPhetJJTfsb4VEMD+2SOACGB9785m7owANrOuyWaFACZbuiCBI4D6rzTRFqIusdLWtq44tTxDjOcKYAiqrIkA0gNREUAAoypH7cFoJaH2gEsEwBVArgB2IoAAlnhjMbUjAQSQ5oiKAAIYVTlqDwYB5ApgVxNyBZBbwLX/QmpYAAhgwwoaMp3rr79e3H9vvPFGts24cePkoosukkMPPTT7v1esWCHnnHOO3HbbbfLll1/KAQccIDNmzJDRo0d7h4UAeqNqxUAEEAFEAEW4AtiKX3eVJ4kAVo483Q3vu+8+GTRokGy11VZZEnPmzJHp06fLCy+8kMngKaecIm7M7NmzZcMNN5Szzz5bPv74Y1mwYEE2z+eVkgD65JM3RntVoy4h0saZl3fvn4fOSxt/6Hi0fEKO17KxikXLuK44rfItsw4CWIYeczsRQADpjVIERowYkUngEUccISNHjpS5c+fKUUcdla25ePFiGTNmjDz44INy8MEHe+2DAPaPSXtoekH3GBT68A2dlzb+0PF4IK9siJaNVWBaxnXFaZVvmXUQwDL0mIsA0gOmBL755hu588475dhjj82uAL777rvZLV93xW/48OHde+24444yadIkmTp1qtf+CCAC6NUoykFaedDKiTKcqIZr2VgFr2VcV5xW+ZZZBwEsQ4+5CCA9YELgxRdflD333FO++uor2WCDDeTWW2+Vww47LPt/jz/++OxzgD1fBx10kGyxxRYya9asPvd343vOcQLorhqm8EXQFkC1h5r20LSI0a2hjVO7b+i8tPGHjkfLJ+R4LRurWLSM64rTKt8y6yCAZegxFwGkB0wIrFy5Ut566y355JNP5Be/+IXcdNNNMn/+fFm4cGGfAjhhwgQZO3aszJw5s8/9p0yZ0ufVQQSw73JpD02ToiOAVhijXKcusdL2cl1xxlA0BDCGKjQvBj4D2LyaVprRgQcemAme+9xfkVvAXAFcqKqX9tBULd7P4NCHb+i8tPGHjseqLhbraNlY7OnW0DKuK06rfMusgwCWocdcrgDSA0EIOOlzt2yvvfba7CGQW265RY488shsryVLlmRfAcNDIJ3Raw817aFpVXRtnNp9Q+dlEX/oGLXMLHLqT8Ss1u+Ul5Zn6Hi0/KscjwBWSbs9e3EFsD21Lp3p+eefn33nnxO+5cuXy+233y6XX365PPzww+Ju9bqvgbn//vuzr4FxTwe77wT86KOP+BoYwytr2kOzdNH/b4HQh2/ovCziDx2jtlYWOSGAWur1jEcA6+He9F0RwKZX2DC/E044QX75y19mV/aGDh0qO+ywg5x33nmZ/LmXezBk8uTJ2QMhPb8I2gmj74ungPsnVZeEWMmG1dUg337qGmcRf13sO+VqkRMCqO2kesYjgPVwb/quCGDTK5xYfgggAhiiZS1kCQG0rYyWp0UNbTOobjUEsDrWbdoJAWxTtRPIFQFEAEO0qYU8aIUlRB4917TIiSuAoatksz4CaMORVVYngADSEVERQAARwBANaSFLCKBtZbQ8LWpom0F1qyGA1bFu004IYJuqnUCuCGC9RarrUNbuq6VkIQ+hY+yUk0XsWl6W40Nz0/DpFItmDUs2vmshgL6kGKchgABqaDE2OAEEMDjifjfQHtZWB6d2Xy0lizhDx4gAaqv63XhNbRHAYoyZ1UwCCGAz65psVghgvaXTSo7m8O0vM+2+WkoWcYaOEQHUVhUBLEaMWRD4jgACSCdERQABrLccWsmxECuXsXZfLSWLOEPHiABqq4oAFiPGLAgggPRAhAQQwHqLopUcC7FCAPuvuRXjujpL21PaODV8uAWspcv4JhPgCmCTq5tgbghgvUXTHtaaw7e/zLT7ailZxBk6Rq4AaqvKFcBixJgFAa4A0gMREkAAIyxKBSGlIFcpxFhBqdRb1MHNQvjViQacwFPAAeG2eGmuALa4+DGmjgDGWJXwMdUhCS4rjSikEGP4Sul3qIObpq76jKqfgQBWz7wNOyKAbahyQjkigAkVyzDUOiQBATQsYD9L1VFbBLCa2rJL2gQQwLTr17joEcDGldQroTokAQH0Kk3pQXXUFgEsXTYWaAEBBLAFRU4pRQQwpWrZxVqHJCCAdvXrb6U6aosAVlNbdkmbAAKYdv0aFz0C2LiSeiVUhyQggF6lKT2ojtoigKXLxgItIIAAtqDIKaUYowA27TCpsx/qkIH+8tXUNnTsmliquOIWWzyavg0du9X6vjnxEIgvKcZpCCCAGlqMDU4AAQyOuNYNQkuUNjnNQR46dk0sCGD/lQ7N0mp9335FAH1JMU5DAAHU0GJscAIIYHDEtW4QWqK0yWkO8tCxa2JBABFAba8zHgK9CSCA9ERUBBDAqMphHkxoidIGrJGu0LFrYkEAEUBtrzMeAgggPRA1AQQw6vKUDi60RGkD1EhX6Ng1sSCACKC21xkPAQSQHoiaAAIYdXlKBxdaorQBaqQrdOyaWBBABFDb64yHAAJID0RNoEsA95OJstaAtaOI1epgjiKZmoMILVFW6fVV81Rit2LQaZ1O74eU+cT2Hu/N8utVv5Z5cq8sW7ZMhgwZErrErN8SAnwGsCWFTiVNBDCVShWLMxVJQAA71xcBLNb7mlkIoIYWY4sSQACLkmNeEAIIYBCs0SyKAEZTisKBIICF0XlPRAC9UTGwBAEEsAQ8ptoTQADtmca0IgIYUzWKxYIAFuOmmYUAamgxtigBBLAoOeYFIYAABsEazaIIYDSlKBwIAlgYnfdEBNAbFQNLEEAAS8Bjqj0BBNCeaUwrIoAxVaNYLAhgMW6aWQighhZjixJAAIuSY14QApYCGNuTfX0B6yREdcUeOp6UBbBTw9eVU2gR0/Zg6N6x4K/NKcgvOY9FEUAPSAwpTQABLI2QBSwJIIDf0azroAp9iNclS9oe1fCvKycE8Luqavhr6qrtGcvxCKAlTdbqRAABpDeiIoAAIoAxNKRGFDQCYpkbAogAWvYTa7WPAALYvppHnTECiADG0KAIoP4qdOirx536QiPgmrrW2YdcAayTfnv2RgDbU+skMkUAEcAYGlUjChoBscyNK4BcAbTsJ9ZqHwEEsH01jzpjBBABjKFBEUCuANbZh1wBrJN+e/ZGANtT6yQyLSKAmsM6CQgJBVnX1S8rRE3sHW1NrBjUta9VL2jW0eaqWbuvsfwt4LIEmd8XAQSQvoiKAAIYVTlyg6n6IMwNSDnASn6U2wYdrq2JFYO69g0Ks8Pi2lzLxogAliXIfASQHoieAAIYfYlWC7Dqg9CajpX8WMdVZj1tTawY1LVvGVZF52pzLbpP1zwEsCxB5iOA9ED0BBDA6EuEAEZeIq2cIID6gmoZ63dYfQYCWJYg8xFAeiB6Aghg9CVCACMvkVZOEEB9QbWM9TsggGWZMT+fAJ8BzGfEiAoJIIAVwjbYquqD0CDk1Zawkh/ruMqsp62JFYO69i3Dquhcba5F9+maxxXAsgSZzxVAeiB6AghgnCUKfeCF/k47LVUrKdLuG9P4umoeE4NOsYRm03tfBDCFrkgvRq4AplezRkeMAMZZ3tAHHgIYX93rqnl8JNaMKDQbBDCFLkg/RgQw/Ro2KgMEMM5yhj7wEMD46l5XzeMjgQCmUBNi1BNAAPXMmBGQAAIYEG6JpeuSgdD7dkLCLWCR0OxTZhyaDVcAS/yyYqo3AQTQGxUDqyCAAFZBWb9H6AOPK4D6moSeUVfNQ+dlsX5oNgigRZVYI48AAphHiJ9XSgABrBS392ahDzwE0LsUlQ2sq+aVJVhio9BsEMASxWGqNwEE0BsVA6sggABWQVm/h9WBZ3XbTxuPVjCt4tSTDjdDyyxcJN+tbMU4trxCcOMp4BBUWRMBpAeiIoAARlWO7mCsDtm6Dn0EMPxn+rSdW1cvaOOMYTwCGEMVmhcDAti8miadEQIYZ/kQwDjroonKqoaaPfsbiwD6k0QA/Vkx0p8AAujPipEVEEAAK4BcYAsreajr0OcKIFcAC7R9NFMQwGhK0ahAEMBGlbO6ZKZNmybnn3++nHHGGXLNNddkG69YsULOOeccue222+TLL7+UAw44QGbMmCGjR4/2DgwB9EZV6UAEsFLcQTazqqFVcHX9Y8Aq/irXQQCrpN2evRDA9tTaLNNnn31WjjzySBkyZIjsv//+3QJ4yimnyH333SezZ8+WDTfcUM4++2z5+OOPZcGCBTJo0CCv/RFAL0yVD7KSh7oOfa4AcgWw8jeN4YYIoCFMluomgADSDCoCn332meyyyy7Zlb1LLrlEdtppp0wAly1bJiNHjpS5c+fKUUcdla25ePFiGTNmjDz44INy8MEHe+0TowBayA8C4lV+70GdamIlmN6B9DMwhRgt8sxbIzQHi/dnXg51/xwBrLsCzdwfAWxmXYNldeyxx8qIESPk6quvlv32269bAB9//PHslq+74jd8+PDu/XfccUeZNGmSTJ061SsmBPA7TDGJjFfhKh4UWios0kkhRos889YIzQEBzKsAP4dA3wQQQDrDm8Dtt9+eXfV77rnn5Hvf+95qAnjrrbfK8ccfn30OsOfroIMOki222EJmzZrV5z5ufM85TgDdVcP9ZKKsNWBtr9hCy5LFAcMVQK9Seg8KLRXegXAFMBdV6FpZvD9zk6h5AFcAay5AQ7dHABtaWOu0Fi1aJD/4wQ/k0UcfFXdVz716XgHsJIATJkyQsWPHysyZM/sMacqUKX1eHUQAF1qXsFHrhZYKC1gpxGiRZ94aoTkggHkV4OcQ4AogPVCCwD333COHH374ag9zfPPNNzJgwAAZOHCgPPLII3LggQeqbwFzBXCnPqsS+qpmiVaIYmpoqbBIMoUYLfLMWyM0BwQwrwL8HAIIID1QgsDy5cvlzTffXG0Fd8v3+9//vpx33nnZbVv3EMgtt9ySPSHsXkuWLMm+AoaHQDp/pi/04Vii5FFPTYFbCjFWUeTQHBDAKqrIHk0kwC3gJla1opx63gJ2W7qvgbn//vuzr4FxD4q47wT86KOPgn8NTKd0Q19Fszh4YovRKh4tG6t9Q7a+NidtLFYMtHFa7avNt47xWjZ1xNjXnnwGMJZKNCsOBLBZ9aw0m94C+NVXX8nkyZPFfR6w5xdBu6uDvq8iTwEjgJ3pag88Kxmoa1/fPisyTpuTdg/Ya4npx4euoT4ivxkIoB8nRukIIIA6XowOTAABtAWsPfCQEDuZ1lYS9lpi+vHa94N+hzAzEMAwXNu+KgLY9g6ILH8E0LYg2gMPCUEAbTswrtW074dYokcAY6lEs+JAAJtVz+SzQQBtS6g98BBABNC2A+NaTft+iCV6BDCWSjQrDgSwWfVMPhsE0LaE2gMPAUQAbTswrtW074dYokcAY6lEs+JAAJtVz+SzQQCLlTD0V20Uiyr+WSkIgVbKtTlp14+/qiJaBrHnhADGXqE040MA06xbY6NGAIuVFgG05VZstTCztIKmlR/t+mGytF1Vy8B2d/vVEEB7pqwoggDSBVERQACLlQMBtOVWbLUws7SCppUf7fphsrRdVcvAdnf71RBAe6asiADSA5ERQACLFQQBtOVWbLUws7SCppUf7fphsrRdVcvAdnf71RBAe6asiADSA5ERQACLFQQBtOVWbLUws7SCppUf7fphsrRdVcvAdnf71RBAe6asiADSA5ERQACLFQQBtOVWbLUws7SCppUf7fphsrRdVcvAdnf71RBAe6asiADSA5ERiFEAQx4mTTx8I2upfsOJqbYhY+kPQugerCuvOvrQimVvZghgHdVs/p48BNL8GieVIQKYVLmSDzaknGhlIGQsCGA1raqteaeoEMBq6tX2XRDAtndAZPkjgJEVpOHhhJQurQyEjAUBrKaRtTVHAKupC7v0TQABpDOiIoAARlWOxgcTUrq0MhAyFgSwmlbW1hwBrKYu7IIA0gMJEEAAEyhSg0IMKV1aGQgZCwJYTdNqa44AVlMXdkEA6YEECCCACRSpQSGGlC6tDISMBQGspmm1NUcAq6kLuyCA9EACBCwFMIF0xerASCHXGGOsS7piYhG6B9vE2IolD4HE9A5pbix8BrC5tU0yMwQwybIlG3Sb5KRTkaykxfdqVrLN4hG4FUsE0AM2Q0oTQABLI2QBSwIIoCVN1sojgABK8KvQbWKMAOa94/h5TAQQwJiqQSyCANIEVRJok5xwBTB8ZyGA4Rmzgx0BBNCOJSsZEEAADSCyhDcBBJArgN7N4jEQAfSAxJBoCCCA0ZSCQBwBBJA+qJIAAogAWvYbAmhJk7VCE0AAQxNmfRWBtgmgCo7hYKuDyjCkWpYKKYCdGIfc00HU7hu6F0LnW0vjdNjUiiUPgcRU1ebGggA2t7ZJZoYAVlM2q4OqmmjD7RJSTrQiZpWldt/QvRCSsRUzq3WsWCKAVhVhnf4IIID0R1QEEMBqymF1UFUTbbhdQsqJVsSsstTuG7oXQjK2Yma1jhVLBNCqIqyDANIDyRBAAKspldVBVU204XYJKSdaEbPKUrtv6F4IydiKmdU6ViwRQKuKsA4CSA8kQwABrKZUVgdVNdGG2yWknGhFzCpL7b6heyEkYytmVutYsUQArSrCOgggPZAMgRgF0OqXel9FqOtwtMpJG7/VvtqG1sbZ1/pWsVvE0l/+CKC2O+zGW7FHAO1qwkqdCfAZQLojKgIIYDXlqEtmrPbVUrKQLqvYLWJBALUdUM14BLAazuxiQwABtOHIKkYEEEAjkDnL1CUzVvtqKVlIl1XsFrEggNoOqGY8AlgNZ3axIYAA2nBkFSMCCKARSARwNQIW0oUAFutNC/bFdq5+FgJYPXN2LE4AASzOjpkBCCCAAaD2sWRdMmO1r5aShYRYxW4RC1cAtR1QzXgEsBrO7GJDAAG04cgqRgQQQCOQXAHkCmCvHugknlZi26nlQgtvNe8Yv10QQD9OjIqDAAIYRx2I4v8IIIDVtILVoV/X4a6N3yLOOvasohu0eWljshJPixpqY9eOt2LJU8Ba8owvQgABLEKNOcEIIIDB0K62cKiDqproO/+925BXobTMUhAWx0ubl7bGCKCWmAgCqGfGDD0BBFDPjBkBCSCAAeH2WNrq0K9LcrTxW8RZx55VdIM2L21MCKCWGAKoJ8aMIgQQwCLUmBOMAAIYDC1XAEui1YqShXSWDNlrujYvr0V7DEIAtcQQQD0xZhQhgAAWocacYAQQwGBoEcCSaLWihAB+BxwB1Dcet4D1zJihJ4AA6pkxIyABBDAg3B5La2WmU1R1SY42fos469izim7Q5qWNCQHUEuMKoJ4YM4oQQACLUGNOMAJdArj0V1vKkMEDS+1jdfDEJj+loORMtpIBC+FyocYUjzYWKwZW9dbGb7Vv6HVi4hyK8afLv5Xh27wuy5YtkyFDhoRGyvotIYAAtqTQqaSJANZbKasDzOpQjikebSxWDKw6Qhu/1b6h14mJcyjGCGDoLmrn+ghgO+sebdYIYL2lsTrArA7lmOLRxmLFwKojtPFb7Rt6nZg4h2KMAIbuonaujwC2s+7RZo0A1lsaqwPM6lCOKR5tLFYMrDpCG7/VvqHXiYlzKMYIYOguauf6CGA76x5t1ghgvaWxOsCsDuWY4tHGYsXAqiO08VvtG3qdmDiHYowAhu6idq6PALaz7tFmjQDWWxqrA8zqUI4pHm0sVgysOkIbv9W+odeJiXMoxghg6C5q5/oIYDvrHm3WRQQwpgMgWrAEVpqA1eEeul+t4iwNrOAC2qf3Q/PsK42qGSOABZuJaf0SQABpkKgIIIBRlYNgehCwOvRDC4tVnHUVHwFckzwCWFc3NntfBLDZ9U0uOwQwuZK1JmArsUIA+28ZBBABbM0vlZoTRQBrLgDbr04AAaQjYiWAAFZTGQQQAaym09gFAaQHoiKAAEZVDoLhFnDlPYAAIoCVN11LN0QAW1r4ImlPmTJFpk6dutrUjTfeWN59993sf1u1alX28xtuuEGWLl0qu+++u1x33XUybtw47+0QQG9UDKyYAFcAqwGOACKA1XQauyCA9IA3ASeAP//5z+Wxxx7rnjNo0CAZOXJk9n9fccUVcumll8rs2bNlm222kUsuuUSeeOIJefXVV2Xw4MFe+zRBAPsShdCf+/KCy6BSBGITQKt4SkEJMFkrgBYhaN+fVbPnIRCLKrNGbwIIID3hTcAJ4D333CMLFy5cY467+jdq1Cg588wz5bzzzst+vmLFCnFXCJ0YnnzyyV77IIBemBhUAwGrQ18rG51StYqnBpT9bokAcgUwtp5sajwIYFMrGyAvJ4DTp0+XoUOHyjrrrJPd4r3ssstkyy23lNdff13Gjh0rzz//vOy8887du0+cOFGGDRsmc+bM6TMiJ4nuv66XE8AxY8bI0l9tKUMGD/TKwupA9drMYxBXAD0gJTjESris+tUqnthKgQAigLH1ZFPjQQCbWtkAeT300EPyxRdfZLd333vvvewW7yuvvCIvvfRSdpt37733lnfeeSe7Etj1Oumkk+TNN9+URx55pM+I+vpcoRuIAAYoIEuWImAlXAhg/2VAABHAUm9UJnsTQAC9UTGwN4HPP/88u+p37rnnyh577JEJ4OLFi2WTTTbpHnriiSfKokWL5OGHH+YKIC2UNAEEsJryIYAIYDWdxi4IID1QisCECRNkq622ksmTJxe6Bdx7cz4DWKocTA5IAAEMCLfH0gggAlhNp7ELAkgPFCbgPrvnrgC627wXXnhhduv3rLPOyq4IutfKlStlo402at1DIIWBRjDRSnK0qXBbtDMxKzbamnQaH7pH6hBAKzbadXxz5SlgLVnG+xBAAH0oMSYjcM4558hPfvIT2WyzzeT999/PPgM4f/58efHFF2XzzTfPRG/atGly8803y9Zbb509IDJv3rzWfQ1Myu0S+nDvxMZKcuqKP2TNrdhYxRiasa8UWeVT5zq+uSKAdVapuXsjgM2trXlmRx99dPa9fh9++GH23X/uc38XX3yxbL/99tleXV8EPWvWrNW+CHr8+PHesTThFrB3shEODH24I4D6oiOA3zGrqzf1FfOfgQD6s2KkPQEE0J4pK5YggACWgGcwta5D1kpy6orfnCUXyQAAGaxJREFUAH3HJazYWMUYmrGvFFnlU+c6vrlyBbDOKjV3bwSwubVNMjMEsN6yhT7cuQKory8CyBVABFD/vmFGPgEEMJ8RIyokgABWCLuPrRDAevn3tTsCiAAigPG9L5sQEQLYhCo2KAcEsN5ipiKAdcVpIWhWsfvePqy3o9jdggACaEGRNXoTQADpiagIIID1lsNKTrRZaK9y1RUnAqitLOMtCCCAFhRZAwGkB6ImgADWW566xAoB1NedK4B6ZqnOQABTrVzccXMFMO76tC46BLDekiOAev51ySsCqK9VqjMQwFQrF3fcCGDc9WlddAhgvSVHAPX8EUA9M2boCCCAOl6M9iOAAPpxYlRFBBDAikB32AYB1PNHAPXMmKEjgADqeDHajwAC6MeJURUR6BLA/WSirDVg7Yp2rW+bTsKllYpOGVitbyWGofOyqqRVnH3FY8XSKlfWiY9A7/77etWvZZ7cK8uWLZMhQ4bEFzARJUkAAUyybM0NGgH8rrZWAoIAFnuvWPFHAIvxb/ssBLDtHVBN/ghgNZzZxZMAAogA+rRK6KtoCKBPFRgTigACGIos6/YkgADSD1ERQAARQJ+GRAB9KDEmVQIIYKqVSytuBDCtejU+WgQQAfRpcgTQhxJjUiWAAKZaubTiRgDTqlfjo0UAEUCfJkcAfSgxJlUCCGCqlUsrbgQwrXo1Ptq2CWAqBdUKV8jP0Dlm2ng6cQ4dZ1/7WsVu1TuhGcSWrxU3zTplGfMUsIY2Y30JIIC+pBhXCQEEsBLM6k20h3jZAy8vQG08CGBnoqnUKq8nYv55WcYIYMzVTTc2BDDd2jUycgQwzrJqhavsgZdHQRsPAogA5vVUyJ+XfT8ggCGr0961EcD21j7KzBHAKMuivuVa9sDLo4AA5hHy/3kqtfLPKL6RZRkjgPHVtAkRIYBNqGKDckAA4yymVrjKHnh5FLTxcAWQK4B5PRXy52XfDwhgyOq0d20EsL21jzJz96eOhg0bJj+Uw2Qtaf6fgouyCH0EdfevXlSFevg2/081XjtYG0+n9UPH2de+VrFrmdXFILZ8rbhp1inbZ1/Lr+UpeVA++eQTGTp0qGZrxkKgIwEEkOaIisDbb78tY8aMiSomgoEABCAQA4FFixbJ6NGjYwiFGBpAAAFsQBGblMK3334rixcvlsGDB8vy5cszGXS/9Jr+B9DdrW9ybVIn/yYXaktdyxJYtWpV9vtw1KhRMnDgwLLLMR8CGQEEkEaIlkDX5wHdbeE2CKC7tUOu0bZj4cDo48Loop7YprpGXQiCK0wAASyMjomhCbTpFyy5hu6m+tantvWxD7lzm+oakiNr10cAAayPPTvnEGjTL1hybe7bgdo2s7ZtqmszK0hWCCA9EC2BFStWyLRp0+RnP/uZrLPOOtHGaREYuVpQjHMNahtnXcpG1aa6lmXF/DgJIIBx1oWoIAABCEAAAhCAQDACCGAwtCwMAQhAAAIQgAAE4iSAAMZZF6KCAAQgAAEIQAACwQgggMHQsjAEIAABCEAAAhCIkwACGGddiAoCEIAABCAAAQgEI4AABkPLwmUIzJgxQ6ZPny5LliyRcePGyTXXXCP77LNPmSWjmPvEE09keS1YsCDL7e6775ZJkyZ1x+a+8X/q1Klyww03yNKlS2X33XeX6667LmOQ2ss9wX3XXXfJK6+8Iuuuu67stddecsUVV8i2227bnYp7kvKcc86R2267Tb788ks54IADxNU+tT93df3114v774033shyc/W66KKL5NBDD83+76bk2VcPujqff/75csYZZ2Tv06blO2XKlOw92fO18cYby7vvvpv9T016z6b2O4Z4yxFAAMvxY3YAAnfccYccc8wxmQjsvffeMmvWLLnpppvk5Zdfls022yzAjtUt+dBDD8nTTz8tu+yyi/z0pz9dQwCdIF166aUye/Zs2WabbeSSSy4RJ42vvvpq9ufxUnodcsghcvTRR8tuu+0mX3/9tVxwwQXy4osvZnVcf/31s1ROOeUUue+++7J8N9xwQzn77LPl448/zgR50KBByaTrcnDxbrXVVlnMc+bMyUT/hRdeyGSwKXn2Lsizzz4rRx55ZPaXevbff/9uAWxSvk4Af/7zn8tjjz3Wnb6r9ciRI7P/u0nv2WTecARqQgABNMHIIpYE3FUvJ0juikrXa7vttsuulLmrDU15DRgwYDUBdFcS3N/6PPPMM+W8887L0nRXjtzVBnfInHzyyUmn/sEHH8hGG20k8+fPl3333Tf7s3fuEJ07d64cddRRWW7u70C7v4n84IMPysEHH5x0viNGjMgk8Igjjmhknp999ln2PnX/UHP/UNlpp50yAWxaXZ0A3nPPPbJw4cI1+rHp79mk34AEn0sAAcxFxIAqCaxcuVLWW289ufPOO+Xwww/v3trdXnK/gJ08NOXVWwBff/11GTt2rDz//POy8847d6c5ceJEGTZsWHZVKeXXa6+9JltvvXV2FXD8+PHy+OOPZ7d83RW/4cOHd6e24447ZrLf+7ZbKrl/8803Wf8ee+yx2RVAd6uwiXm6/JzkXn311bLffvt1C2DT6uoE0Im8+1vd7gvp3T9QL7vsMtlyyy2l6e/ZVN5zxFmMAAJYjBuzAhFwV4A23XTT7Dap+8xY18v9wnUC5G6FNuXVWwCfeeaZ7Jb3O++8k10J7HqddNJJ8uabb8ojjzySbOruSokTWfe5xieffDLL49Zbb5Xjjz8+u8rZ83XQQQfJFltskd36T+nlxHbPPfeUr776SjbYYIMsv8MOO6xxebqa3H777dlVv+eee06+973vrSaATaur+9jGF198kX0k47333svydp9rfemll7LfR019z6b03iPWYgQQwGLcmBWIQJcAOhlyh2nXy30uzt0qdL94m/LqJICOwSabbNKd5oknniiLFi2Shx9+ONnUTzvtNHnggQfkqaee6n7Ao5MoTJgwIbsSOnPmzKTydVev33rrLfnkk0/kF7/4Rfa5VXfF2l257kt0U83T9eIPfvADefTRR8VdrXWvnlcAm1bX3k34+eefZ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" 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}, “metadata”: {}, “output_type”: “display_data”

}

], “source”: [

“block = amp.blocks.Imshow(images)n”, “anim = amp.Animation([block])n”, “n”, “anim.controls()n”, “anim.save_gif("ising")n”, “plt.show()”

]

}, {

“cell_type”: “raw”, “metadata”: {

“raw_mimetype”: “text/restructuredtext”

}, “source”: [

“.. image:: ising.gif”

]

}

], “metadata”: {

“celltoolbar”: “Raw Cell Format”, “kernelspec”: {

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}, “language_info”: {

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“name”: “ipython”, “version”: 3

}, “file_extension”: “.py”, “mimetype”: “text/x-python”, “name”: “python”, “nbconvert_exporter”: “python”, “pygments_lexer”: “ipython3”, “version”: “3.6.5”

}

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}