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"# Balancing a Ball on a Beam with Proportional-Derivative Control\n",
"\n",
"###### The latest version of this Jupyter notebook is available at [http://github.com/jckantor/Ball-and-Beam](http://github.com/jckantor/Ball-and-Beam) for noncommercial use under terms of the [Creative Commons Attribution Noncommericial ShareAlike License](http://creativecommons.org/licenses/by-nc-sa/4.0/).\n",
"\n",
"Jeffrey C. Kantor (Kantor.1@nd.edu)\n",
"\n",
"This notebook illustrates the principles of proportional-derivative feedback through an interactive simulation of a ball on beam apparatus. The task is to choose the control parameters to balance the ball at desired locations on the beam with acceptable dynamics and without rolling off the ends. \n",
"\n",
"![\"Ball](\"ballbeam.png\" "\\"Ball")
\n",
"\n",
"The simulation in intended for use in as in-lecture demonstration on PD control and the dynamics of second order systems, and for out-of-class reinforcement of key concepts in feedback control. Suggested exercises are included.\n",
"\n",
"Everything is included in a single, self-contained Jupyter notebook using standard python libraries.\n",
"\n",
"## Table of Contents\n",
"\n",
"* [Initialization](#Initialization). This section loads needed libraries and defines functions to display and update a diagram of the ball and beam apparatus, and to create plots of the ball position and beam angle. These cells need to be executed for subsequent simulations.\n",
"* [Ball on Beam Dynamics](#Simulation/Animation). This section presents a model for the dynamics of the ball on beam system, and demonstrates the behavior with an open-loop simulation of the device.\n",
"* [Proportional Control](#Proportional Control). This section introduces a proportional feedback control. Simulations can be run for different choices of setpoints and control parameters.\n",
"* [Proportional-Derivative Control](#Proportional-Derivative Control). This section introduces a proportional-derivative feedback control. Simulations can be run for different choices of setpoints and control parameters.\n",
"* [Theory](#Theory). A derivation of an approximate linear model for the dynamics of the ball on beam system under proportional-derivative control.\n",
"* [Exercises](#Exercises). A short set of exercises to reinforce control concepts, and introduce methods to analyze the performance of the ball on beam control system.\n",
"\n",
"## How to Use\n",
"\n",
"This notebook can be downloaded to your laptop and run as a standard Jupyter notebook. This requires prior installation of a Python distribution with standard libraries such as [Anaconda](https://www.continuum.io/) available from Continuum Analytics.\n",
"\n",
"Once the notebook is loaded in an executable environment, either in the cloud or laptop, proceed through the notebook executing each cell, one at a time. You can use either the `run` button in the Jupyter tool bar, or press `shift-enter` for each cell. Be sure to run the Initialization cell first!\n",
"\n",
"This notebook can be run in the cloud from mybinder.org. This can be done from any browser (laptop, tablet, phone), and doesn't require any software installation. Click this button to get started:\n",
"\n",
"[](http://mybinder.org/repo/jckantor/Ball-and-Beam)\n",
"\n",
"Note that as a free service, the mybinder.org site is sometimes overloaded and unresponsive. "
]
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"\n",
"## Initialization (Run this one first!)\n",
"\n",
"The following cell creates utility functions that display and update a figure showing the ball and beam apparatus. This cell must be executed in order to run the control simulations later in this notebook. The detail of these functions can be safely ignored by anyone primarily interested in the subsequent applications of feedback control."
]
},
{
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"%matplotlib notebook\n",
"\n",
"from pylab import *\n",
"import time\n",
"from ipywidgets import interact, interactive\n",
"\n",
"# limit on beam angle in radians\n",
"ulimit = 0.2\n",
"\n",
"def draw_beam(fig,ax):\n",
" # Draw the ball and beam diagram on a given figure and axis\n",
" ax.axis('off')\n",
" ax.axis('equal')\n",
" ax.set(xlim = (-0.2,1.2), ylim = (-0.3,0.3))\n",
" \n",
" # draw ball, beam, and set point patch\n",
" ax.plot(0.5,0.049,'r.',ms=50)\n",
" ax.plot(array([0.0,cos(0.0)]), array([0.0,sin(0.0)]), lw=5)\n",
" ax.add_patch(Polygon([[0.5, -0.01], [0.5-0.03, -0.05], [0.5+0.03, -0.05]]))\n",
"\n",
" # draw pivot patch\n",
" ax.add_patch(Polygon([[0.0,0.0],[0.02,-0.25],[-0.02,-0.25]]))\n",
" \n",
" # beam hi and lo limit patches\n",
" ulimit = 0.2\n",
" xa = cos(ulimit)\n",
" ya = sin(ulimit)\n",
" ax.add_patch(Polygon([[xa-0.05, ya+0.01],[xa+0.05, ya+0.01], \\\n",
" [xa+0.05, ya+0.02],[xa-0.05, ya+0.02]]))\n",
" ax.add_patch(Polygon([[xa-0.05,-ya-0.01],[xa+0.05,-ya-0.01], \\\n",
" [xa+0.05,-ya-0.02],[xa-0.05,-ya-0.02]]))\n",
" fig.canvas.draw()\n",
"\n",
"def update_beam(fig,ax,x,u,SP):\n",
" # Update the ball and beam diagram with current state values.\n",
" \n",
" # Limit beam angle\n",
" u = -ulimit if u < -ulimit else ulimit if u > ulimit else u\n",
" \n",
" # Determine ball position, and if it rolled off the beam\n",
" x = -0.05 if x < 0 else 1.02 if x > 1.0 else x\n",
" y = 0.049/cos(u) + x*sin(u) if x >= 0.0 and x <= 1.0 else -0.2\n",
"\n",
" # update ball, beam, and setpoint positions\n",
" ax.lines[0].set(xdata=x, ydata=y)\n",
" ax.lines[1].set(xdata=[0.0,cos(u)], ydata=[0.0,sin(u)])\n",
" ax.patches[0].set_xy([[SP*cos(u), -0.01 + SP*sin(u)], \\\n",
" [SP*cos(u) - 0.03, -0.05 + SP*sin(u)], \\\n",
" [SP*cos(u) + 0.03, -0.05 + SP*sin(u)]])\n",
" fig.canvas.draw()\n",
" \n",
"def draw_plot(fig,ax,SP):\n",
" \n",
" # set up xplot to display ball position\n",
" xplot = ax\n",
" xplot.set(xlim=(0,tf),ylim=(0,1),xlabel='Time [dimensionless]',ylabel='Position')\n",
" xplot.plot([],[],'b')\n",
" xplot.plot([0,tf],[SP,SP],'b--')\n",
"\n",
" # set up second axist to display beam angle\n",
" uplot = ax.twinx()\n",
" uplot.set(xlim=(0,tf),ylim=(-ulimit,ulimit))\n",
" uplot.set_ylabel('Beam Angle', color='r')\n",
" for tl in uplot.get_yticklabels():\n",
" tl.set_color('r')\n",
" uplot.plot([],[],'r')\n",
" uplot.plot([0,tf],[0,0],'r--')\n",
" \n",
" # return lines for updating\n",
" return xplot,uplot\n",
"\n",
"def update_plot(ax,t,y):\n",
" tdata = append(ax.lines[0].get_xdata(),t)\n",
" ydata = append(ax.lines[0].get_ydata(),y)\n",
" ax.lines[0].set(xdata=tdata, ydata=ydata)\n",
" "
]
},
{
"cell_type": "markdown",
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"source": [
"Run the following cell to see a diagram of the ball and beam apparatus."
]
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{
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" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig[\"handle_\" + msg_type];\n",
" } catch (e) {\n",
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('![](\"')
');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('')\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 = $('');\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 = $('');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('');\n",
" var button = $('');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" // select the cell after this one\n",
" var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
" IPython.notebook.select(index + 1);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
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""
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\")
"
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"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig,ax = subplots(1,1,figsize=(8,3))\n",
"draw_beam(fig,ax)\n",
"update_beam(fig,ax,0.5,0.1,0.5)"
]
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"\n",
"## Ball on Beam Dynamics\n",
"\n",
"We assume that a ball can roll freely and without friction on a tilted beam. The beam angle $u$ is measured in a counterclockwise direction from the horizontal, and is subject to the hard limits indicated by stops on the following diagram. The position of the ball is given by $x$ on a beam of length $L$. The ball can fall of the either end of the beam. There is a triangular marker below the beam to indicate the location of a setpoint."
]
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"The ball dynamics are modeled by a pair of differential equations\n",
"\n",
"\\begin{align}\n",
"\\frac{dx}{dt} & = v(t) \\\\\n",
"(I+1)m\\frac{dv}{dt} & = - m g \\sin(u(t))\n",
"\\end{align}\n",
"\n",
"where $x(t)$ denotes position of the ball on the beam, $v(t)$ is velocity, $u(t)$ is the angle of the beam relative to the horizontal, $m$ is the ball mass, and $g$ is acceleration due to gravity.\n",
"\n",
"The motion of the ball is subject to both linear and rotational inertia. The linear inertia is the product of the ball's mass times acceleration. If the surface of the ball doesn't slip as it rolls on the beam, the rotational inertia can be expressed as a mutiple $I$ of the ball's mass where $I = \\frac{2}{5}$ for a solid sphere, or $I = \\frac{2}{3}$ for a spherical shell. Wrapping these parameters into a single constant $K_b = \\frac{g}{1+I}$ results in a model\n",
"\n",
"\\begin{align}\n",
"\\frac{dx}{dt} & = v(t) \\\\\n",
"\\frac{dv}{dt} & = - K_b \\sin(u(t))\n",
"\\end{align}\n",
"\n",
"where the variables all have common units.\n",
"\n",
"An alternative is create a dimensionless model where a time scale $T$ is defined by\n",
"\n",
"$$T = \\sqrt{\\frac{(1+I)L}{g}}$$\n",
"\n",
"where $L$ is the length of the beam. Dimensionless variables are then given\n",
"\n",
"\\begin{align*}\n",
"\\tilde{x} & = \\frac{x}{L} \\\\\n",
"\\tilde{t} & = \\frac{t}{T} \\\\\n",
"\\tilde{v} & = \\frac{v T}{L}\n",
"\\end{align*}\n",
"\n",
"With these definitions in place, our simulation model becomes dimensionless where\n",
"\n",
"\\begin{align*}\n",
"\\frac{d\\tilde{x}}{d\\tilde{t}} & = \\tilde{v}(\\tilde{t}) \\\\\n",
"\\frac{d\\tilde{v}}{d\\tilde{t}} & = - \\sin(u(\\tilde{t}))\n",
"\\end{align*}\n",
"\n",
"Note the dimensionless model can be formed from the dimensional model with specific choices for $K_b$ and $L$. In other words, there is no loss of generality if we proceed with the dimesional model under the assumption $K_b = 1$ and $L = 1$.\n",
"\n",
"To demonstrate the dynamics, run the following cell so see a simulation of how the ball on beam responds to a programmed change in beam angle. The beam angle is programmed to start level, then begins to move in a oscillatory motion. (Feel free to edit the cell to see how ir responds to an import of your choice!). \n",
"\n",
"The simulation solves the differential equations with an Euler's approximation. The simulation loop includes a `time.sleep(dt)` that inserts a pause in each step of the simulation. (This may be commented out in order to see animation run as quickly as possible.)"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [
{
"data": {
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" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
" return MozWebSocket;\n",
" } else {\n",
" alert('Your browser does not have WebSocket support.' +\n",
" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
" 'Firefox 4 and 5 are also supported but you ' +\n",
" 'have to enable WebSockets in about:config.');\n",
" };\n",
"}\n",
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" if (warnings) {\n",
" warnings.style.display = 'block';\n",
" warnings.textContent = (\n",
" \"This browser does not support binary websocket messages. \" +\n",
" \"Performance may be slow.\");\n",
" }\n",
" }\n",
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" this.context = undefined;\n",
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" if (fig.image_mode == 'full') {\n",
" // Full images could contain transparency (where diff images\n",
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" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
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"\n",
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"\n",
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"\n",
" var canvas_div = $('');\n",
"\n",
" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
"\n",
" function canvas_keyboard_event(event) {\n",
" return fig.key_event(event, event['data']);\n",
" }\n",
"\n",
" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
" this.canvas_div = canvas_div\n",
" this._canvas_extra_style(canvas_div)\n",
" this.root.append(canvas_div);\n",
"\n",
" var canvas = $('');\n",
" canvas.addClass('mpl-canvas');\n",
" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
"\n",
" this.canvas = canvas[0];\n",
" this.context = canvas[0].getContext(\"2d\");\n",
"\n",
" var backingStore = this.context.backingStorePixelRatio ||\n",
"\tthis.context.webkitBackingStorePixelRatio ||\n",
"\tthis.context.mozBackingStorePixelRatio ||\n",
"\tthis.context.msBackingStorePixelRatio ||\n",
"\tthis.context.oBackingStorePixelRatio ||\n",
"\tthis.context.backingStorePixelRatio || 1;\n",
"\n",
" mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
"\n",
" var rubberband = $('');\n",
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
"\n",
" var pass_mouse_events = true;\n",
"\n",
" canvas_div.resizable({\n",
" start: function(event, ui) {\n",
" pass_mouse_events = false;\n",
" },\n",
" resize: function(event, ui) {\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" stop: function(event, ui) {\n",
" pass_mouse_events = true;\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" });\n",
"\n",
" function mouse_event_fn(event) {\n",
" if (pass_mouse_events)\n",
" return fig.mouse_event(event, event['data']);\n",
" }\n",
"\n",
" rubberband.mousedown('button_press', mouse_event_fn);\n",
" rubberband.mouseup('button_release', mouse_event_fn);\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
"\n",
" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
"\n",
" canvas_div.on(\"wheel\", function (event) {\n",
" event = event.originalEvent;\n",
" event['data'] = 'scroll'\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" mouse_event_fn(event);\n",
" });\n",
"\n",
" canvas_div.append(canvas);\n",
" canvas_div.append(rubberband);\n",
"\n",
" this.rubberband = rubberband;\n",
" this.rubberband_canvas = rubberband[0];\n",
" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
" this.rubberband_context.strokeStyle = \"#000000\";\n",
"\n",
" this._resize_canvas = function(width, height) {\n",
" // Keep the size of the canvas, canvas container, and rubber band\n",
" // canvas in synch.\n",
" canvas_div.css('width', width)\n",
" canvas_div.css('height', height)\n",
"\n",
" canvas.attr('width', width * mpl.ratio);\n",
" canvas.attr('height', height * mpl.ratio);\n",
" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
"\n",
" rubberband.attr('width', width);\n",
" rubberband.attr('height', height);\n",
" }\n",
"\n",
" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
" // upon first draw.\n",
" this._resize_canvas(600, 600);\n",
"\n",
" // Disable right mouse context menu.\n",
" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
" return false;\n",
" });\n",
"\n",
" function set_focus () {\n",
" canvas.focus();\n",
" canvas_div.focus();\n",
" }\n",
"\n",
" window.setTimeout(set_focus, 100);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" // put a spacer in here.\n",
" continue;\n",
" }\n",
" var button = $('');\n",
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
" 'ui-button-icon-only');\n",
" button.attr('role', 'button');\n",
" button.attr('aria-disabled', 'false');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
"\n",
" var icon_img = $('');\n",
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
" icon_img.addClass(image);\n",
" icon_img.addClass('ui-corner-all');\n",
"\n",
" var tooltip_span = $('');\n",
" tooltip_span.addClass('ui-button-text');\n",
" tooltip_span.html(tooltip);\n",
"\n",
" button.append(icon_img);\n",
" button.append(tooltip_span);\n",
"\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" var fmt_picker_span = $('');\n",
"\n",
" var fmt_picker = $('');\n",
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
" fmt_picker_span.append(fmt_picker);\n",
" nav_element.append(fmt_picker_span);\n",
" this.format_dropdown = fmt_picker[0];\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = $(\n",
" '', {selected: fmt === mpl.default_extension}).html(fmt);\n",
" fmt_picker.append(option)\n",
" }\n",
"\n",
" // Add hover states to the ui-buttons\n",
" $( \".ui-button\" ).hover(\n",
" function() { $(this).addClass(\"ui-state-hover\");},\n",
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
" );\n",
"\n",
" var status_bar = $('');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"}\n",
"\n",
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
"}\n",
"\n",
"mpl.figure.prototype.send_message = function(type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"}\n",
"\n",
"mpl.figure.prototype.send_draw_message = function() {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
" }\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1]);\n",
" fig.send_message(\"refresh\", {});\n",
" };\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
" var x0 = msg['x0'] / mpl.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
" var x1 = msg['x1'] / mpl.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0, 0, fig.canvas.width, fig.canvas.height);\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
" var cursor = msg['cursor'];\n",
" switch(cursor)\n",
" {\n",
" case 0:\n",
" cursor = 'pointer';\n",
" break;\n",
" case 1:\n",
" cursor = 'default';\n",
" break;\n",
" case 2:\n",
" cursor = 'crosshair';\n",
" break;\n",
" case 3:\n",
" cursor = 'move';\n",
" break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = cursor;\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
" // Request the server to send over a new figure.\n",
" fig.send_draw_message();\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
" fig.image_mode = msg['mode'];\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Called whenever the canvas gets updated.\n",
" this.send_message(\"ack\", {});\n",
"}\n",
"\n",
"// A function to construct a web socket function for onmessage handling.\n",
"// Called in the figure constructor.\n",
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" evt.data.type = \"image/png\";\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src);\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig[\"handle_\" + msg_type];\n",
" } catch (e) {\n",
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('')\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 = $('');\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 = $('');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('');\n",
" var button = $('');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" // select the cell after this one\n",
" var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
" IPython.notebook.select(index + 1);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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\")
"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# simulation parameters\n",
"dt = 0.05\n",
"tf = 10.0\n",
"\n",
"# initialize simulation \n",
"t = 0.0 # initial time\n",
"x = 0.0 # initial ball position\n",
"v = 0.0 # initial ball velocity\n",
"\n",
"# set up figure window with two axes\n",
"fig,ax = subplots(2,1,figsize=(8,6))\n",
"beam_axes = ax[0]\n",
"plot_axes = ax[1]\n",
"\n",
"# draw ball and beam apparatus\n",
"draw_beam(fig,beam_axes)\n",
"update_beam(fig,beam_axes,x,u,0.5)\n",
"\n",
"# draw plotting axes\n",
"xplot,uplot = draw_plot(fig,plot_axes,SP)\n",
"\n",
"# simulation/animation\n",
"for t in linspace(dt,10.0,10.0/dt):\n",
" # beam angle\n",
" u = 0.0 if t <= 1.0 else -0.15*sin(t-1.0)\n",
" \n",
" # update velocity and position\n",
" v += -sin(u)*dt\n",
" x += v*dt\n",
" \n",
" # update plots\n",
" update_beam(fig,beam_axes,x,u,SP)\n",
" update_plot(xplot,t,x)\n",
" update_plot(uplot,t,u)\n",
" \n",
" # pause for time step\n",
" # time.sleep(dt)"
]
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"\n",
"## Proportional Control\n",
"\n",
"The beam angle is primary control input. We choose to adjust the control using proportinal (P) feedback in the form\n",
"\n",
"$$u(t) = K_p (x(t) - x_{SP})$$\n",
"\n",
"where $K_p$ is the parameter determining the proportional control response.\n",
"\n",
"Running the following cell defines a function to perform a closed-loop simulation of PD control for fixed values of the setpoint (`SP`), proportional gain (`Kp`), and then runs the simulation for a choice of these parameters."
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [
{
"data": {
"application/javascript": [
"/* Put everything inside the global mpl namespace */\n",
"window.mpl = {};\n",
"\n",
"\n",
"mpl.get_websocket_type = function() {\n",
" if (typeof(WebSocket) !== 'undefined') {\n",
" return WebSocket;\n",
" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
" return MozWebSocket;\n",
" } else {\n",
" alert('Your browser does not have WebSocket support.' +\n",
" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
" 'Firefox 4 and 5 are also supported but you ' +\n",
" 'have to enable WebSockets in about:config.');\n",
" };\n",
"}\n",
"\n",
"mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
" this.id = figure_id;\n",
"\n",
" this.ws = websocket;\n",
"\n",
" this.supports_binary = (this.ws.binaryType != undefined);\n",
"\n",
" if (!this.supports_binary) {\n",
" var warnings = document.getElementById(\"mpl-warnings\");\n",
" if (warnings) {\n",
" warnings.style.display = 'block';\n",
" warnings.textContent = (\n",
" \"This browser does not support binary websocket messages. \" +\n",
" \"Performance may be slow.\");\n",
" }\n",
" }\n",
"\n",
" this.imageObj = new Image();\n",
"\n",
" this.context = undefined;\n",
" this.message = undefined;\n",
" this.canvas = undefined;\n",
" this.rubberband_canvas = undefined;\n",
" this.rubberband_context = undefined;\n",
" this.format_dropdown = undefined;\n",
"\n",
" this.image_mode = 'full';\n",
"\n",
" this.root = $('');\n",
" this._root_extra_style(this.root)\n",
" this.root.attr('style', 'display: inline-block');\n",
"\n",
" $(parent_element).append(this.root);\n",
"\n",
" this._init_header(this);\n",
" this._init_canvas(this);\n",
" this._init_toolbar(this);\n",
"\n",
" var fig = this;\n",
"\n",
" this.waiting = false;\n",
"\n",
" this.ws.onopen = function () {\n",
" fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
" fig.send_message(\"send_image_mode\", {});\n",
" if (mpl.ratio != 1) {\n",
" fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
" }\n",
" fig.send_message(\"refresh\", {});\n",
" }\n",
"\n",
" this.imageObj.onload = function() {\n",
" if (fig.image_mode == 'full') {\n",
" // Full images could contain transparency (where diff images\n",
" // almost always do), so we need to clear the canvas so that\n",
" // there is no ghosting.\n",
" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
" }\n",
" fig.context.drawImage(fig.imageObj, 0, 0);\n",
" };\n",
"\n",
" this.imageObj.onunload = function() {\n",
" this.ws.close();\n",
" }\n",
"\n",
" this.ws.onmessage = this._make_on_message_function(this);\n",
"\n",
" this.ondownload = ondownload;\n",
"}\n",
"\n",
"mpl.figure.prototype._init_header = function() {\n",
" var titlebar = $(\n",
" '');\n",
" var titletext = $(\n",
" '');\n",
" titlebar.append(titletext)\n",
" this.root.append(titlebar);\n",
" this.header = titletext[0];\n",
"}\n",
"\n",
"\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._init_canvas = function() {\n",
" var fig = this;\n",
"\n",
" var canvas_div = $('');\n",
"\n",
" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
"\n",
" function canvas_keyboard_event(event) {\n",
" return fig.key_event(event, event['data']);\n",
" }\n",
"\n",
" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
" this.canvas_div = canvas_div\n",
" this._canvas_extra_style(canvas_div)\n",
" this.root.append(canvas_div);\n",
"\n",
" var canvas = $('');\n",
" canvas.addClass('mpl-canvas');\n",
" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
"\n",
" this.canvas = canvas[0];\n",
" this.context = canvas[0].getContext(\"2d\");\n",
"\n",
" var backingStore = this.context.backingStorePixelRatio ||\n",
"\tthis.context.webkitBackingStorePixelRatio ||\n",
"\tthis.context.mozBackingStorePixelRatio ||\n",
"\tthis.context.msBackingStorePixelRatio ||\n",
"\tthis.context.oBackingStorePixelRatio ||\n",
"\tthis.context.backingStorePixelRatio || 1;\n",
"\n",
" mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
"\n",
" var rubberband = $('');\n",
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
"\n",
" var pass_mouse_events = true;\n",
"\n",
" canvas_div.resizable({\n",
" start: function(event, ui) {\n",
" pass_mouse_events = false;\n",
" },\n",
" resize: function(event, ui) {\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" stop: function(event, ui) {\n",
" pass_mouse_events = true;\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" });\n",
"\n",
" function mouse_event_fn(event) {\n",
" if (pass_mouse_events)\n",
" return fig.mouse_event(event, event['data']);\n",
" }\n",
"\n",
" rubberband.mousedown('button_press', mouse_event_fn);\n",
" rubberband.mouseup('button_release', mouse_event_fn);\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
"\n",
" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
"\n",
" canvas_div.on(\"wheel\", function (event) {\n",
" event = event.originalEvent;\n",
" event['data'] = 'scroll'\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" mouse_event_fn(event);\n",
" });\n",
"\n",
" canvas_div.append(canvas);\n",
" canvas_div.append(rubberband);\n",
"\n",
" this.rubberband = rubberband;\n",
" this.rubberband_canvas = rubberband[0];\n",
" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
" this.rubberband_context.strokeStyle = \"#000000\";\n",
"\n",
" this._resize_canvas = function(width, height) {\n",
" // Keep the size of the canvas, canvas container, and rubber band\n",
" // canvas in synch.\n",
" canvas_div.css('width', width)\n",
" canvas_div.css('height', height)\n",
"\n",
" canvas.attr('width', width * mpl.ratio);\n",
" canvas.attr('height', height * mpl.ratio);\n",
" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
"\n",
" rubberband.attr('width', width);\n",
" rubberband.attr('height', height);\n",
" }\n",
"\n",
" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
" // upon first draw.\n",
" this._resize_canvas(600, 600);\n",
"\n",
" // Disable right mouse context menu.\n",
" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
" return false;\n",
" });\n",
"\n",
" function set_focus () {\n",
" canvas.focus();\n",
" canvas_div.focus();\n",
" }\n",
"\n",
" window.setTimeout(set_focus, 100);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" // put a spacer in here.\n",
" continue;\n",
" }\n",
" var button = $('');\n",
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
" 'ui-button-icon-only');\n",
" button.attr('role', 'button');\n",
" button.attr('aria-disabled', 'false');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
"\n",
" var icon_img = $('');\n",
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
" icon_img.addClass(image);\n",
" icon_img.addClass('ui-corner-all');\n",
"\n",
" var tooltip_span = $('');\n",
" tooltip_span.addClass('ui-button-text');\n",
" tooltip_span.html(tooltip);\n",
"\n",
" button.append(icon_img);\n",
" button.append(tooltip_span);\n",
"\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" var fmt_picker_span = $('');\n",
"\n",
" var fmt_picker = $('');\n",
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
" fmt_picker_span.append(fmt_picker);\n",
" nav_element.append(fmt_picker_span);\n",
" this.format_dropdown = fmt_picker[0];\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = $(\n",
" '', {selected: fmt === mpl.default_extension}).html(fmt);\n",
" fmt_picker.append(option)\n",
" }\n",
"\n",
" // Add hover states to the ui-buttons\n",
" $( \".ui-button\" ).hover(\n",
" function() { $(this).addClass(\"ui-state-hover\");},\n",
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
" );\n",
"\n",
" var status_bar = $('');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"}\n",
"\n",
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
"}\n",
"\n",
"mpl.figure.prototype.send_message = function(type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"}\n",
"\n",
"mpl.figure.prototype.send_draw_message = function() {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
" }\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1]);\n",
" fig.send_message(\"refresh\", {});\n",
" };\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
" var x0 = msg['x0'] / mpl.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
" var x1 = msg['x1'] / mpl.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0, 0, fig.canvas.width, fig.canvas.height);\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
" var cursor = msg['cursor'];\n",
" switch(cursor)\n",
" {\n",
" case 0:\n",
" cursor = 'pointer';\n",
" break;\n",
" case 1:\n",
" cursor = 'default';\n",
" break;\n",
" case 2:\n",
" cursor = 'crosshair';\n",
" break;\n",
" case 3:\n",
" cursor = 'move';\n",
" break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = cursor;\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
" // Request the server to send over a new figure.\n",
" fig.send_draw_message();\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
" fig.image_mode = msg['mode'];\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Called whenever the canvas gets updated.\n",
" this.send_message(\"ack\", {});\n",
"}\n",
"\n",
"// A function to construct a web socket function for onmessage handling.\n",
"// Called in the figure constructor.\n",
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" evt.data.type = \"image/png\";\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src);\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig[\"handle_\" + msg_type];\n",
" } catch (e) {\n",
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('')\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 = $('');\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 = $('');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('');\n",
" var button = $('');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" // select the cell after this one\n",
" var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
" IPython.notebook.select(index + 1);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
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\")
"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"def ballbeam(IC, SP, Kp, Kd):\n",
" # initialize\n",
" t = 0.0 # time\n",
" x = IC # ball position\n",
" v = 0.0 # ball velocity\n",
" u = 0.0 # beam angle\n",
" \n",
" # initialize graphics\n",
" fig,ax = subplots(2,1,figsize=(8,6))\n",
" draw_beam(fig,ax[0]) \n",
" xplot,uplot = draw_plot(fig,ax[1],SP)\n",
" \n",
" # simulation loop\n",
" while (t < tf) & (x <= 1.0) & (x >= 0.0):\n",
" # calculate control\n",
" u = max(-ulimit,min(ulimit,Kp*(x - SP)))\n",
"\n",
" # update state\n",
" t += dt\n",
" v += -sin(u)*dt\n",
" x += v*dt\n",
" \n",
" # update graphics\n",
" update_beam(fig,ax[0],x,u,SP)\n",
" update_plot(xplot,t,x)\n",
" update_plot(uplot,t,u)\n",
"\n",
"# run simulation for one choice of initial position, setpoint, and control gains\n",
"dt = 0.05\n",
"tf = 20.0\n",
"ballbeam(1.0, 0.5, 2.0, 2.0) "
]
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"\n",
"## Proportional-Derivative Control\n",
"\n",
"The beam angle is primary control input. We choose to adjust the control using proportinal-derivative (PD) feedback in the form\n",
"\n",
"$$u(t) = K_p (x(t) - x_{SP}) + K_d v(t)$$\n",
"\n",
"where $K_p$ and $K_d$ are parameters determining the proportional and derivative control response.\n",
"\n",
"Running the following cell defines a function to perform a closed-loop simulation of PD control for fixed values of the setpoint (`SP`), proportional gain (`Kp`), and derivative gain (`Kd`), and then runs the simulation for one choice of these parameters."
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [
{
"data": {
"application/javascript": [
"/* Put everything inside the global mpl namespace */\n",
"window.mpl = {};\n",
"\n",
"\n",
"mpl.get_websocket_type = function() {\n",
" if (typeof(WebSocket) !== 'undefined') {\n",
" return WebSocket;\n",
" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
" return MozWebSocket;\n",
" } else {\n",
" alert('Your browser does not have WebSocket support.' +\n",
" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
" 'Firefox 4 and 5 are also supported but you ' +\n",
" 'have to enable WebSockets in about:config.');\n",
" };\n",
"}\n",
"\n",
"mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
" this.id = figure_id;\n",
"\n",
" this.ws = websocket;\n",
"\n",
" this.supports_binary = (this.ws.binaryType != undefined);\n",
"\n",
" if (!this.supports_binary) {\n",
" var warnings = document.getElementById(\"mpl-warnings\");\n",
" if (warnings) {\n",
" warnings.style.display = 'block';\n",
" warnings.textContent = (\n",
" \"This browser does not support binary websocket messages. \" +\n",
" \"Performance may be slow.\");\n",
" }\n",
" }\n",
"\n",
" this.imageObj = new Image();\n",
"\n",
" this.context = undefined;\n",
" this.message = undefined;\n",
" this.canvas = undefined;\n",
" this.rubberband_canvas = undefined;\n",
" this.rubberband_context = undefined;\n",
" this.format_dropdown = undefined;\n",
"\n",
" this.image_mode = 'full';\n",
"\n",
" this.root = $('');\n",
" this._root_extra_style(this.root)\n",
" this.root.attr('style', 'display: inline-block');\n",
"\n",
" $(parent_element).append(this.root);\n",
"\n",
" this._init_header(this);\n",
" this._init_canvas(this);\n",
" this._init_toolbar(this);\n",
"\n",
" var fig = this;\n",
"\n",
" this.waiting = false;\n",
"\n",
" this.ws.onopen = function () {\n",
" fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
" fig.send_message(\"send_image_mode\", {});\n",
" if (mpl.ratio != 1) {\n",
" fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
" }\n",
" fig.send_message(\"refresh\", {});\n",
" }\n",
"\n",
" this.imageObj.onload = function() {\n",
" if (fig.image_mode == 'full') {\n",
" // Full images could contain transparency (where diff images\n",
" // almost always do), so we need to clear the canvas so that\n",
" // there is no ghosting.\n",
" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
" }\n",
" fig.context.drawImage(fig.imageObj, 0, 0);\n",
" };\n",
"\n",
" this.imageObj.onunload = function() {\n",
" this.ws.close();\n",
" }\n",
"\n",
" this.ws.onmessage = this._make_on_message_function(this);\n",
"\n",
" this.ondownload = ondownload;\n",
"}\n",
"\n",
"mpl.figure.prototype._init_header = function() {\n",
" var titlebar = $(\n",
" '');\n",
" var titletext = $(\n",
" '');\n",
" titlebar.append(titletext)\n",
" this.root.append(titlebar);\n",
" this.header = titletext[0];\n",
"}\n",
"\n",
"\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._init_canvas = function() {\n",
" var fig = this;\n",
"\n",
" var canvas_div = $('');\n",
"\n",
" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
"\n",
" function canvas_keyboard_event(event) {\n",
" return fig.key_event(event, event['data']);\n",
" }\n",
"\n",
" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
" this.canvas_div = canvas_div\n",
" this._canvas_extra_style(canvas_div)\n",
" this.root.append(canvas_div);\n",
"\n",
" var canvas = $('');\n",
" canvas.addClass('mpl-canvas');\n",
" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
"\n",
" this.canvas = canvas[0];\n",
" this.context = canvas[0].getContext(\"2d\");\n",
"\n",
" var backingStore = this.context.backingStorePixelRatio ||\n",
"\tthis.context.webkitBackingStorePixelRatio ||\n",
"\tthis.context.mozBackingStorePixelRatio ||\n",
"\tthis.context.msBackingStorePixelRatio ||\n",
"\tthis.context.oBackingStorePixelRatio ||\n",
"\tthis.context.backingStorePixelRatio || 1;\n",
"\n",
" mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
"\n",
" var rubberband = $('');\n",
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
"\n",
" var pass_mouse_events = true;\n",
"\n",
" canvas_div.resizable({\n",
" start: function(event, ui) {\n",
" pass_mouse_events = false;\n",
" },\n",
" resize: function(event, ui) {\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" stop: function(event, ui) {\n",
" pass_mouse_events = true;\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" });\n",
"\n",
" function mouse_event_fn(event) {\n",
" if (pass_mouse_events)\n",
" return fig.mouse_event(event, event['data']);\n",
" }\n",
"\n",
" rubberband.mousedown('button_press', mouse_event_fn);\n",
" rubberband.mouseup('button_release', mouse_event_fn);\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
"\n",
" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
"\n",
" canvas_div.on(\"wheel\", function (event) {\n",
" event = event.originalEvent;\n",
" event['data'] = 'scroll'\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" mouse_event_fn(event);\n",
" });\n",
"\n",
" canvas_div.append(canvas);\n",
" canvas_div.append(rubberband);\n",
"\n",
" this.rubberband = rubberband;\n",
" this.rubberband_canvas = rubberband[0];\n",
" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
" this.rubberband_context.strokeStyle = \"#000000\";\n",
"\n",
" this._resize_canvas = function(width, height) {\n",
" // Keep the size of the canvas, canvas container, and rubber band\n",
" // canvas in synch.\n",
" canvas_div.css('width', width)\n",
" canvas_div.css('height', height)\n",
"\n",
" canvas.attr('width', width * mpl.ratio);\n",
" canvas.attr('height', height * mpl.ratio);\n",
" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
"\n",
" rubberband.attr('width', width);\n",
" rubberband.attr('height', height);\n",
" }\n",
"\n",
" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
" // upon first draw.\n",
" this._resize_canvas(600, 600);\n",
"\n",
" // Disable right mouse context menu.\n",
" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
" return false;\n",
" });\n",
"\n",
" function set_focus () {\n",
" canvas.focus();\n",
" canvas_div.focus();\n",
" }\n",
"\n",
" window.setTimeout(set_focus, 100);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" // put a spacer in here.\n",
" continue;\n",
" }\n",
" var button = $('');\n",
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
" 'ui-button-icon-only');\n",
" button.attr('role', 'button');\n",
" button.attr('aria-disabled', 'false');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
"\n",
" var icon_img = $('');\n",
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
" icon_img.addClass(image);\n",
" icon_img.addClass('ui-corner-all');\n",
"\n",
" var tooltip_span = $('');\n",
" tooltip_span.addClass('ui-button-text');\n",
" tooltip_span.html(tooltip);\n",
"\n",
" button.append(icon_img);\n",
" button.append(tooltip_span);\n",
"\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" var fmt_picker_span = $('');\n",
"\n",
" var fmt_picker = $('');\n",
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
" fmt_picker_span.append(fmt_picker);\n",
" nav_element.append(fmt_picker_span);\n",
" this.format_dropdown = fmt_picker[0];\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = $(\n",
" '', {selected: fmt === mpl.default_extension}).html(fmt);\n",
" fmt_picker.append(option)\n",
" }\n",
"\n",
" // Add hover states to the ui-buttons\n",
" $( \".ui-button\" ).hover(\n",
" function() { $(this).addClass(\"ui-state-hover\");},\n",
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
" );\n",
"\n",
" var status_bar = $('');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"}\n",
"\n",
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
"}\n",
"\n",
"mpl.figure.prototype.send_message = function(type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"}\n",
"\n",
"mpl.figure.prototype.send_draw_message = function() {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
" }\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1]);\n",
" fig.send_message(\"refresh\", {});\n",
" };\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
" var x0 = msg['x0'] / mpl.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
" var x1 = msg['x1'] / mpl.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0, 0, fig.canvas.width, fig.canvas.height);\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
" var cursor = msg['cursor'];\n",
" switch(cursor)\n",
" {\n",
" case 0:\n",
" cursor = 'pointer';\n",
" break;\n",
" case 1:\n",
" cursor = 'default';\n",
" break;\n",
" case 2:\n",
" cursor = 'crosshair';\n",
" break;\n",
" case 3:\n",
" cursor = 'move';\n",
" break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = cursor;\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
" // Request the server to send over a new figure.\n",
" fig.send_draw_message();\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
" fig.image_mode = msg['mode'];\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Called whenever the canvas gets updated.\n",
" this.send_message(\"ack\", {});\n",
"}\n",
"\n",
"// A function to construct a web socket function for onmessage handling.\n",
"// Called in the figure constructor.\n",
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" evt.data.type = \"image/png\";\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src);\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig[\"handle_\" + msg_type];\n",
" } catch (e) {\n",
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('')\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 = $('');\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 = $('');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('');\n",
" var button = $('');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" // select the cell after this one\n",
" var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
" IPython.notebook.select(index + 1);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
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AgAABAgQIECAgALEHCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgeIEBCDFLamCCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQGIPUCAAAECBAgQIECAAAECBAgQIECAAAECBAgUJyAAKW5JFUSAAAECBAgQIECAAAECBAgQIECAAAECBAgIQOwBAgQIECBAgAABAgQIECBAgAABAgQIECBAoDgBAUhxS6ogAgQIECBAgAABAgQIECBAgAABAgQIECBAQABiDxAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQLFCQhAiltSBREgQIAAAQIECBAgQIAAAQIECBAgQIAAAQICEHuAAAECBAgQIECAAAECBAgQIECAAAECBAgQKE5AAFLckiqIAAECBAgQIECAAAECBAgQIECAAAECBAgQEIDYAwQIECBAgAABAgQIECBAgAABAgQIECBAgEBxAgKQ4pZUQQQIECBAgAABAgQIECBAgAABAgQIECBAgIAAxB4gQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEihMQgBS3pAoiQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEBCD2AAECBAgQIECAAAECBAgQIECAAAECBAgQIFCcgACkuCVVEAECBAgQIECAAAECBAgQIECAAAECBAgQICAAsQcIECBAgAABAgQIECBAgAABAgQIECBAgACB4gQEIMUtqYIIECBAgAABAgQIECBAgAABAgQIECBAgAABAYg9QIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBQnIAApbkkVRIAAAQIECBAgQIAAAQIECBAgQIAAAQIECAhA7AECBAgQIECAAAECBAgQIECAAAECBAgQIECgOAEBSHFLqiACBAgQIECAAAECBAgQIECAAAECBAgQIEBAAGIPECBAgAABAgQIECBAgAABAgQIECBAgAABAsUJCECKW1IFESBAgAABAgQIECBAgAABAgQIECBAgAABAgIQe4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAoTkAAUtySKogAAQIECBAgQIAAAQIECBAgQIAAAQIECBAQgNgDBAgQIECAAAECBAgQIECAAAECBAgQIECAQHECApDillRBBAgQIECAAAECBAgQIECAAAECBAgQIECAgADEHiBAgAABAgQIECBAgAABAgQIECBAgAABAgSKExCAFLekCiJAgAABAgQIECBAgAABAgQIECBAgAABAgQEIPYAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgUJyAAKS4JVUQAQIECBAgQIAAAQIECBAgQIAAAQIECBAgIACxBwgQIECAAAECBAgQIECAAAECBAgQIECAAIHiBAQgxS2pgggQIECAAAECBAgQIECAAAECBAgQIECAAAEBiD1AgAABAgQIECBAgAABAgQIECBAgAABAgQIFCcgACluSRVEgAABAgQIECBAgAABAgQIECBAgAABAgQICEDsAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKA4AQFIcUuqIAIECBAgQIAAAQIECBAgQIAAAQIECBAgQEAAYg8QIECAAAECBAgQIECAAAECBAgQIECAAAECxQkIQIpbUgURIECAAAECBAgQIECAAAECBAgQIECAAAECAhB7gAABAgQIECBAgAABAgQIECBAgAABAgQIEChOQABS3JIqiAABAgQIECBAgAABAgQIECBAgAABAgQIEBCA2AMECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAcQICkOKWVEEECBAgQIAAAQIECBAgQIAAAQIECBAgQICAAMQeIECAAAECBAgQIECAAAECBAgQIECAAAECBIoTEIAUt6QKIkCAAAECBAgQIECAAAECBAgQIECAAAECBAQg9gABAgQIECBAgAABAgQIECBAgAABAgQIECBQnIAApLglVRABAgQIECBAgAABAgQIECBAgAABAgQIECAgALEHCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgeIEBCDFLamCCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQGIPUCAAAECBAgQIECAAAECBAgQIECAAAECBAgUJyAAKW5JFUSAAAECBAgQIECAAAECBAgQIECAAAECBAgIQOwBAgQIECBAgAABAgQIECBAgAABAgQIECBAoDgBAUhxS6ogAgQIECBAgAABAgQIECBAgAABAgQIECBAQABiDxAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQLFCQhAiltSBREgQIAAAQIECBAgQIAAAQIECBAgQIAAAQICEHuAAAECBAgQIECAAAECBAgQIECAAAECBAgQKE5AAFLckiqIAAECBAgQIECAAAECBAgQIECAAAECBAgQEIDYAwQIECBAgAABAgQIECBAgAABAgQIECBAgEBxAgKQ4pZUQQQIECBAgAABAgQIECBAgAABAgQIECBAgIAAxB4gQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEihMQgBS3pAoiQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEBCD2AAECBAgQIECAAAECBAgQIECAAAECBAgQIFCcgACkuCVVEAECBAgQIECAAAECBAgQIECAAAECBAgQICAAsQcIECBAgAABAgQIECBAgAABAgQIECBAgACB4gQEIMUtqYIIECBAgAABAgQIECBAgAABAgQIECBAgAABAYg9QIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBQnIAApbkkVRIAAAQIECBAgQIAAAQIECBAgQIAAAQIECAhA7AECBAgQIECAAAECBAgQIECAAAECBAgQIECgOAEBSHFLqiACBAgQIECAAAECBAgQIECAAAECBAgQIEBAAGIPECBAgAABAgQIECBAgAABAgQIECBAgAABAsUJCECKW1IFESBAgAABAgQIECBAgAABAgQIECBAgAABAgIQe4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAoTkAAUtySKogAAQIECBAgQIAAAQIECBAgQIAAAQIECBAQgNgDBAgQIECAAAECBAgQIECAAAECBAgQIECAQHECApDillRBBAgQIECAAAECBAgQIECAAAECBAgQIECAgADEHiBAgAABAgQIECBAgAABAgQIECBAgAABAgSKExCAFLekCiJAgAABAgQIECBAgAABAgQIECBAgAABAgQEIPYAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgUJyAAKS4JVUQAQIECBAgQIAAAQIECBAgQIAAAQIECBAgIACxBwgQIECAAAECBAgQIECAAAECBAgQIECAAIHiBAQgxS2pgggQIECAAAECBAgQIECAAAECBAgQIECAAAEBiD1AgAABAgQIECBAgAABAgQIECBAgAABAgQIFCcgACluSRVEgAABAgQIECBAgAABAgQIECBAgAABAgQICEDsAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKA4AQFIcUuqIAIECBAgQIAAAQIECBAgQGARBTorx/MizutKz2ljfdn9qSu9CK5PgACBQgX8C6bQhVUWAQIECBAgQIAAAQIECBAgsFgCApBLr4cAZLH2qdkQIECgJAEBSEmrqRYCBAgQIECAAAECBAgQIEBgYQUEIAKQhd2cJkaAAIFCBQQghS6ssggQIECAAAECBAgQIECAAIHFEhCACEAWa0eaDQECBMoXEICUv8YqJECAAAECBAgQIECAAAECBBZAQAAiAFmAbWgKBAgQaJSAAKRRy61YAgQIECBAgAABAgQIECBA4EoJCEAEIFdq77kuAQIEmiogAGnqyqubAAECBAgQIECAAAECBAgQ2FcBAYgAZF83nIsRIECAQAhAbAICBAgQIECAAAECBAgQIECAAAECBAgQIECgOAEBSHFLqiACBAgQIECAAAECBAgQIECAAAECBAgQIEBAAGIPECBAgAABAgQIECBAgAABAgQIECBAgAABAsUJCECKW1IFESBAgAABAgQIECBAgAABAgQIECBAgAABAgIQe4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAoTkAAUtySKogAAQIECBAgQIAAAQIECBAgQIAAAQIECBAQgNgDBAgQIECAAAECBAgQIECAAAECBAgQIECAQHECApDillRBBAgQIECAAAECBAgQIECAAAECBAgQIECAgADEHiBAgAABAgQIECBAgAABAgQIECBAgAABAgSKExCAFLekCiJAgAABAgQIECBAgAABAgQIECBAgAABAgQEIPYAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgUJyAAKS4JVUQAQIECBAgQIAAAQIECBAgQIAAAQIECBAgIACxBwgQIECAAAECBAgQIECAAAECBAgQIECAAIHiBAQgxS2pgggQIECAAAECBAgQIECAAAECBAgQIECAAAEBiD1AgAABAgQIECBAgAABAgQIECBAgAABAgQIFCcgACluSRVEgAABAgQIECBAgAABAgQIECBAgAABAgQICEDsAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKA4AQFIcUuqIAIECBAgQIAAAQIECBAgQIAAAQIECBAgQEAAYg8QIECAAAECBAgQIECAAAECBAgQIECAAAECxQkIQIpbUgURIECAAAECBAgQIECAAAECBAgQIECAAAECAhB7gAABAgQIECBAgAABAgQIECBAgAABAgQIEChOQABS3JIqiAABAgQIECBAgAABAgQIECBAgAABAgQIEBCA2AMECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAcQICkOKWVEEECBAgQIAAAQIECBAgQIAAAQIECBAgQICAAMQeIECAAAECBAgQIECAAAECBAgQIECAAAECBIoTEIAUt6QKIkCAAAECBAgQIECAAAECBAgQIECAAAECBAQg9gABAgQIECBAgAABAgQIECBAgAABAgQIECBQnIAApLglVRABAgQIECBAgAABAgQIECBAgAABAgQIECAgALEHCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgeIEBCDFLamCCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQGIPUCAAAECBAgQIECAAAECBAgQIECAAAECBAgUJyAAKW5JFUSAAAECBAgQIECAAAECBAgQIECAAAECBAgIQOwBAgQIECBAgAABAgQIECBAgAABAgQIECBAoDgBAUhxS6ogAgQIECBAgAABAgQIECBAgAABAgQIECBAQABiDxAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQLFCQhAiltSBREgQIAAAQIECBAgQIAAAQIECBAgQIAAAQICEHuAAAECBAgQIECAAAECBAgQIECAAAECBAgQKE5AAFLckiqIAAECBAgQIECAAAECBAgQIECAAAECBAgQEIDYAwQIECBAgAABAgQIECBAgAABAgQIECBAgEBxAgKQ4pZUQQQIECBAgAABAgQIECBAgAABAgQIECBAgIAAxB4gQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEihMQgBS3pAoiQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEBCD2AAECBAgQIECAAAECBAgQIECAAAECBAgQIFCcgACkuCVVEAECBAgQIECAAAECBAgQIECAAAECBAgQICAAsQcIECBAgAABAgQIECBAgAABAgQIECBAgACB4gQEIMUtqYIIECBAgAABAgQIECBAgAABAgQIECBAgAABAYg9QIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBQnIAApbkkVRIAAAQIECBAgQIAAAQIECBAgQIAAAQIECAhA7AECBAgQIECAAAECBAgQIECAAAECBAgQIECgOAEBSHFLqiACBAgQIECAAAECBAgQIECAAAECBAgQIEBAAGIPECBAgAABAgQIECBAgAABAgQIECBAgAABAsUJCECKW1IFESBAgAABAgQIECBAgAABAgQIECBAgAABAgIQe4AAAQIECMqmKH4AACAASURBVBAgQIAAAQIECBAgQIAAAQIECBAoTkAAUtySKogAAQIECBAgQIAAAQIECBAgQIAAAQIECBAQgNgDBAgQIECAAAECBAgQIECAAAECBAgQIECAQHECApDillRBBAgQIECAAAECBAgQIECAAAECBAgQIECAgADEHiBAgAABAgQIECBAgAABAgQIECBAgAABAgSKExCAFLekCiJAgAABAgQIECBAgAABAgQIECBAgAABAgQEIPYAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgUJyAAKS4JVUQAQIECBAgQIAAAQIECBAgQIAAAQIECBAgIACxBwgQIECAAAECBAgQIECAAAECBAgQIECAAIHiBAQgxS2pgggQIECAAAECBAgQIECAAAECBAgQIECAAAEBiD1AgAABAgQIECBAgAABAgQIECBAgAABAgQIFCcgACluSRVEgAABAgQIECBAgAABAgQIECBAgAABAgQICEDsAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKA4AQFIcUuqIAIECBAgQIAAAQIECBAgQIAAAQIECBAgQEAAYg8QIECAAAECBAgQIECAAAECBAgQIECAAAECxQkIQIpbUgURIECAAAECBAgQIECAAAECBAgQIECAAAECAhB7gAABAgQIECBAgAABAgQIECBAgAABAgQIEChOQABS3JIqiAABAgQIECBAgAABAgQIECBAgAABAgQIEBCA2AMECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAcQICkOKWVEEECBAgQIAAAQIECBAgQIAAAQIECBAgQICAAMQeIECAAAECBAgQIEBg4QVyxJGIeHtEvDMi/nmM/vmaiLgqIs5ExOmIeCkinouIb0fEn6fRP/tFgAABAgQIECBAgEBDBQQgDV14ZRMgQIAAAQIECBBYVIEccTgi/lVE3DwOPOrQ4+cjoj3BnAcR8d1xGFIHIn8WEc+kiLMTjKEpAQIECBAgQIAAAQIHWEAAcoAXz9QJECBAgAABAgQIlCSQI94YEXdFxMci4g17UNtfR8SxiPhCivirPRjfkAQIECBAgAABAgQILJCAAGSBFsNUCBAgQIAAAQIECDRNIEfUfyf51xHx8Yh4/4Tf8piWq/52yB9ExO9GxB+liDztQPoRIECAAAECBAgQILC4AgKQxV0bMyNAgAABAgQIECBQrECOaEXERyPinoj4l1ew0Gcj4j9GxBdTRHUF5+HSBAgQIECAAAECBAjMWUAAMmdQwxEgQIAAAQIECBAgcHmBHPGzEfFfIuLdC2R1IiL+XYr4ywWak6kQIECAAAECBAgQIDCDgABkBjxdCRAgQIAAAQIECBDYvcD4Wx+/EhG/GRFHdt9z31q+FBH3R8R/8m2QfTN3IQIECBAgQIAAAQJ7JiAA2TNaAxMgQIAAAQIECBAgcE5gQb/1sd0C+TaIrUuAAAECBAgQIECgAAEBSAGLqAQCBAgQIECAAAECiyyQIz5Sf6tiQb/1sR1d/W2QX0kR/3mRbc2NAAECBAgQIECAAIHtBQQgdgcBAgQIECBAgAABAnsikCPqv2+sRsTDe3KB/Rn0gTR6ZZdfBAgQIECAAAECBAgcMAEByAFbMNMlQIAAAQIECBAgcBAExuHHekT86kGY7w5zfKQOclJELqAWJRAgQIAAAQIECBBojIAApDFLrVACBAgQIECAAAEC+yNQWPhxDu2RFLGyP4KuQoAAAQIECBAgQIDAPAQEIPNQNAYBAgQIECBAgAABAucFcsT9B/y1V9ut5v0pYs1SEyBAgAABAgQIECBwMAQEIAdjncySAAECBAgQIECAwIEQGB94/sUDMdnpJvlRB6NPB6cXAQIECBAgQIAAgf0WEIDst7jrESBAgAABAgQIEChUIEe8JSK+ExFHCi2xLuuliHh7ivjLgmtUGgECBAgQIECAAIEiBAQgRSyjIggQIECAAAECBAhcWYEc0YqIb0bEu6/sTPbl6ici4pdSRLUvV3MRAgQIECBAgAABAgSmEhCATMWmEwECBAgQIECAAAECWwVyxN0R8WiDVO5OEb/VoHqVSoAAAQIECBAgQODACQhADtySmTABAgQIECBAgACBxRJoyKuvfhzdq7AWaxuaDQECBAgQIECAAIFXCAhAbAoCBAgQIECAAAECBKYWaNirr37cyauwpt45OhIgQIAAAQIECBDYewEByN4buwIBAgQIECBAgACBYgVyxMci4veLLXDnwo6miGM7N9OCAAECBAgQIECAAIH9FhCA7Le46xEgQIAAAQIECBAoRCBH1H+f+F5EvLWQkqYp49mIuClF5Gk660OAAAECBAgQIECAwN4JCED2ztbIBAgQIECAAAECBIoWyBHviYg/LLrI3RX3nhTxR7trqhUBAgQIECBAgAABAvslIADZL2nXIUCAAAECBAgQIFCYQI54PCJuL6ysacp5PEXcMU1HfQgQIECAAAECBAgQ2DsBAcje2RqZAAECBAgQIECAQLECOeKNEbEREe1ii9x9YYOIuCFFPLf7LloSIECAAAECBAgQILDXAgKQvRY2PgECBAgQIECAAIECBXLEQxHx6wWWNm1JD6WI35i2s34ECBAgQIAAAQIECMxfQAAyf1MjEiBAgAABAgQIEChaIEccHn/74w1FFzpZcfW3P5ZSxNnJumlNgAABAgQIECBAgMBeCQhA9krWuAQIECBAgAABAgQKFcgR74qIPy60vFnK+sUU8SezDKAvAQIECBAgQIAAAQLzExCAzM/SSAQIECBAgAABAgQaIZAjPhERv92IYicr8hMp4ncn66I1AQIECBAgQIAAAQJ7JSAA2StZ4xIgQIAAAQIECBAoVCBHfCkifrnQ8mYp60sp4iOzDKAvAQIECBAgQIAAAQLzExCAzM/SSAQIECBAgAABAgQaIZAjvhMRb29EsZMV+Z0U8QuTddGaAAECBAgQIECAAIG9EhCA7JWscQkQIECAAAECBAgUKJAjjkTE8xHRLrC8WUvajIhXp4jTsw6kPwECBAgQIECAAAECswsIQGY3NAIBAgQIECBAgACBxgg4AH3HpX5XivjTHVtpQIAAAQIECBAgQIDAngsIQPac2AUIECBAgAABAgQIlCOQIz4eEb9TTkVzr+TjKeL35j6qAQkQIECAAAECBAgQmFhAADIxmQ4ECBAgQIAAAQIEmiuQIz4dEZ9srsCOlX86Rfzajq00IECAAAECBAgQIEBgzwUEIHtO7AIECBAgQIAAAQIEyhHIEZ+NiP9QTkVzr+SzKeLeuY9qQAIECBAgQIAAAQIEJhYQgExMpgMBAgQIECBAgACB5grk0euv6tdg+XVpgd9JEf8eDgECBAgQIECAAAECV15AAHLl18AMCBAgQIAAAQIECBwYgRzxhYj46IGZ8P5P9Isp4q79v6wrEiBAgAABAgQIECDw4wICEHuCAAECBAgQIECAAIFdC/gGyI5UvgGyI5EGBAgQIECAAAECBPZHQACyP86uQoAAAQIECBAgQKAIAWeA7LiMzgDZkUgDAgQIECBAgAABAvsjIADZH2dXIUCAAAECBAgQIFCEQI74dER8sohi9qaIT6eIX9uboY1KgAABAgQIECBAgMAkAgKQSbS0JUCAAAECBAgQINBwgTw6AL0+CN2vSwt8PEX8HhwCBAgQIECAAAECBK68gADkyq+BGRAgQIAAAQIECBA4MAI54l0R8ccHZsL7P9F3pYg/3f/LuiIBAgQIECBAgAABAj8uIACxJwgQIECAAAECBAgQ2LVAjjgSEc9HRHvXnZrTcDMiXp0iTjenZJUSIECAAAECBAgQWFwBAcjiro2ZESBAgAABAgQIEFhIgRzxnYh4+0JO7spO6jsp4heu7BRcnQABAgQIECBAgACBcwICEHuBAAECBAgQIECAAIGJBHLElyLilyfq1IzGX0oRH2lGqaokQIAAAQIECBAgsPgCApDFXyMzJECAAAECBAgQILBQAjniExHx2ws1qcWYzCdSxO8uxlTMggABAgQIECBAgAABAYg9QIAAAQIECBAgQIDARAIOQt+W6xdTxJ9MhKkxAQIECBAgQIAAAQJ7JiAA2TNaAxMgQIAAAQIECBAoUyBHHI6IjYh4Q5kVTlXVcxGxlCLOTtVbJwIECBAgQIAAAQIE5i4gAJk7qQEJECBAgAABAgQIlC+QIx6KiF8vv9JdV/hQiviNXbfWkAABAgQIECBAgACBPRcQgOw5sQsQIECAAAECBAgQKE8gR7xx/C2QdnnVTVzRICJuSBH1t0D8IkCAAAECBAgQIEBgQQQEIAuyEKZBgAABAgQIECBA4KAJ5IjHI+L2gzbvPZjv4ynijj0Y15AECBAgQIAAAQIECMwgIACZAU9XAgQIECBAgAABAk0WyBHviYg/bLLBuPb3pIg/4kCAAAECBAgQIECAwGIJCEAWaz3MhgABAgQIECBAgMCBEcgR9d8nvhcRbz0wk57/RJ+NiJtSRJ7/0EYkQIAAAQIECBAgQGAWAQHILHr6EiBAgAABAgQIEGi4QI74WET8foMZjqaIYw2uX+kECBAgQIAAAQIEFlZAALKwS2NiBAgQIECAAAECBBZfIEe0IuKbEfHuxZ/t3Gd4IiJ+KUVUcx/ZgAQIECBAgAABAgQIzCwgAJmZ0AAECBAgQIAAAQIEmi2QI342Iv48Io40SOKliHh7ivjLBtWsVAIECBAgQIAAAQIHSkAAcqCWy2QJECBAgAABAgQILKZAjrg7Ih5dzNntyazuThG/tScjG5QAAQIECBAgQIAAgbkICEDmwmgQAgQIECBAgAABAs0WaNirsLz6qtnbXfUECBAgQIAAAQIHREAAckAWyjQJECBAgAABAgQILLpAQ16F5dVXi74RzY8AAQIECBAgQIDAWEAAYisQIECAAAECBAgQIDA3gRzxkYj44twGXLyBPpoi/vPiTcuMCBBotkBO8dBvpJv/+rb2qTc83z4Tz7de82LVPn0mtwetI61rrqnaZ89W7Spttq66Krc3N69pV7HZqqpoHzqU2zkOtapBbrer3M6palXtaLerQ+0cVSvn3G61op2Hv9dutVq5nasYtmvV/9tqtyNVrVS1Xuivv++pZq+D6gkQIEBg0QQEIIu2IuZDgAABAgQIECBA4IAL5Ij7I+LhA17GpaZ/f4pYK7AuJRGYk0B9E/6b7Z+PH7X+8R+j/fJrov0T8erWy6cH7c2zuX0kXd3avLpqDzZz+6rYbA0GuV0djvbh+uZ7lduDdm4fPlvffD/crv+53a5vzFfDm/TtHO0crVbVyuc/5xzt4c34yK0Ln1ujz3n889S+8Dnqm/bRbkUatskpt1v1zyK1Ikc7pfpzHn0+9/MU7ZRzOyJaOdKwTYyvN/qcWjm2tEmpnfK4Tf3zus1w7qk17tuuXxmYcmrH+Hqj9lvaDOcerRhf7/ychu1Tq25b9xn+fDi/NPp8xX+lZzfWu2+74tMwAQIECBAgsEVAAGI7ECBAgAABAgQIECAwV4EcUf89Yz0ifnWuA1/ZwR5JEStXdgquvrPAFE/B1zfh06BVPwVfPwFfPwlfPwVf1TffU24Nn4Kv/7NZtXb3FHy065vr9Y3xVD81f+5Ge6pv0rfbkXM7jW9c17+Xxje06xvzw58P29c30Uc3t8+3GX+OlFvDm98pDW/K1zfn6xvww+uda3/uJn3985yG49bjj27sj27YD2+cj2/kx+imfasOBM61OX/tdG5O47mOr3f+5v84OBiHAu4x7LxJi22RUvqL/lr354otUGEECBAgcCAF/J+TA7lsJk2AAAECBAgQIEBgsQXGIUj9bYn7Fnumu5rdIxGxmiLyrlrH5Z+Cv+bq3B6kq1r1U/CHB1W7ikGrfgr+0OCqdk6DVv0U/KH6tTLRHj4VP9VT8FV7ePN++BT88Knx+q01+dzN+OHN8NET8q3hTe9pnoIf3eTP52+6R0qjm/Hjp+JHT6hfaDPVU/DDm/YXbuy/8nqjp/hHQcCiPAW/u12iFYHSBFKK7/fXln+2tLrUQ4AAAQIHW0AAcrDXz+wJECBAgAABAgQIXEIgp7jja62bf/rNrfpd8KdfONP+ydZLrfpd8GeP5Pa16ZpW/S74wVW5fXXabA3fBT/rU/D1O+Lrp8lb7fbwffHjJ8vv+tYf/Juf+5sffrBqtWKQWlGN/zto1Z9TVKk9/nmKi9qcb1+3acWgNWqXUxr+b90/1/87/u/w5+M+53++tc3w87jvcJzRGBeP2R7P79w1W/EPR179t39/zWteqF+HM3zCffy6meHnc6+3Gb9OZ8urcfw9y59LAgSaKNDfWF++sYmFq5kAAQIEFlfA/zFf3LUxMwIECBAgQIDAARcYPQX/lr99qX360POt+l3wr3rpp9qb6eVW/S74aZ6Cr98DX78Pvn40vqpvtI8/5/o1M4PW6GDW8XvRR4e0TvEU/LlX15x73Uz9hPvwvfFbXjez41PpOzwFX79uZvh+99F8h6/AOf+qm+F73IdP0Q9/fu6Jek/BH/A/D6ZPgACB0gXS/9pY795QepXqI0CAAIGDJSAAOVjrZbYECBAgQIDARAKzPwVfv4amql9DU7+Spr7pXr81pp3brWp8uGqV26326PUyub45v81T8PUN+osOXd36LvitB6qO3+M+esp8fOjq6Gb5Kw9dHd4439Lmxw9d3fpU+ugmev3Y+2UPeR0eujq+3tZDV4eHvI4Phd3uKfjz77wf3sgfzssvAgQIECBAoCECKdJf9de7/6Ih5SqTAAECBA6IgADkgCyUaRIgQIDAQRbY+Sn4zc36ANarWvW74AeH6hvVVat+F3xVH8gag9bwJvzwhnu7fua9PfNT8PVA4xvawyfn49x74usH63Nr+C74WZ+Cj8sfunr+kNcZnoLf8rqZ+kn54Tvg63fB1++dH96wrw+T9YsAAQIECBAgQGDvBVL8n4215Tfs/YVcgQABAgQI7F5AALJ7Ky0JECBAgEDEHV9td37muh+MXoez5dDV4etwthwEG+cObPUUvG1DgAABAgQIECDQCIG/2Vhffl0jKlUkAQIECBwYAQHIgVkqEyVAgACBxRDIqbPSqxZjLmZBgAABAgQIECBAYDEEUqT/11/v/rPFmI1ZECBAgACBkYAAxE4gQIAAAQITCnRWjucJu2hOgAABAgQIECBAoGyBlP5+Y637U2UXqToCBAgQOGgCApCDtmLmS4AAAQJXXGBptbfpgOcrvgwmQIAAAQIECBAgsEgCKT2/sdZ9zSJNyVwIECBAgIAAxB4gQIAAAQITCnRWei9H5Ksm7KY5AQIECBAgQIAAgWIFUop/6q8tv6rYAhVGgAABAgdSQAByIJfNpAkQIEDgSgp0Vo6/FBHXXMk5uDYBAgQIECBAgACBBRM4vbG+fGTB5mQ6BAgQINBwAQFIwzeA8gkQIEBgcoGl1eMv5BzXTd5TDwIECBAgQIAAAQKTCaRIVU55EDkGo88xiKg/5yrnGEQa/7z+HHmQIqpIaVD/Xqrb5jzsk4a/Pxpr+DmlYf9hm/FYKc61qdvn+jpVTqke80KbYftx38jD6+dIVYo401/rrkxWndYECBAgQGBvBQQge+trdAIECBAoUKCzcvwfIsL7jQtcWyURIECAAAECrxRIKXJ98314k3t4Q73+nOsb3vVN9NGN9sjV6Eb46Gb8sE190z6iSjkNf17fZK/7D2/aj26YD0Y383NV35Cvb7QPP9c/P9fmfPvRjf1hm/H1LgQB5643nsdorhfmNA4O6tBgGATUcz1/vbqmwSBX9bVH9eWqDgXqf66q3IpBqn8vV1XVikFr+PNUVVUaBgcpqqoat0/RqgatzUFrUIcH9ec0aLXreWxWm5tp0Kr7x6Hq0KHTgzNn0uDQoTRox+Hq9OnW4PDh1uCq/GL1j9e2Btf97aHBT7z8uurP3vDfB/HQQ5U9SYAAAQIECEwvIACZ3k5PAgQIEGioQGe193eR8082tHxlEyBAgACBKyJw0VPw4yfOh0/Bj2/GD5+CH91or4ZPwW99Sn2ap+DrG/vDm/cXPeF+4eb/+SCgvpF/oc3w5vzwpv0oEBjNL40/50GVRoHAhSBgdMO/Gt5Mb1UpDwb1Hfm63rrN8Ob6ODgYfW4Nf55ag8Egp6pV34hvRX0HvxreYK/SYDO3qlZ9831wdrA5vOneHv5zfRM+5bNVu50GZw+l0c34l1uD04f/adDOh6urr2kPnn+hPThc/X31mtfE4LvfjUF87Y4qIuUrsuguSoAAAQIECBCYUUAAMiOg7gQIECDQPIGlld6pHPm1zatcxQQIEGi2wPmn4Mevmxk/BX/x62ZmeAp+6+tmRjfRt3+9zdRPwQ9v2o9eoZNyNX4dThqkKgbRrqr6KfjzwcGUT8HXN+E3o6rqp+CHN93rm/HtNGhtpsHZ2BzepG9vpkH7mrOVp+Cb/WdK9QQIECBAgACBvRYQgOy1sPEJECBAoDiBzurx/xs5XldcYQoiQOBACNSvZalfPXP+KfP6yfIJnoI//xqara+bGT6hPn4lzYXXzVx4vc2kT8FvfXXNudfenL/e6In67a6366fgh0/I5xsixcu5yhvDp+JbMaha9RPug+FT8Ztp/OT7lE/BX/OqqwbXxY8qT8EfiD8aJkmAAAECBAgQIEDgFQICEJuCAAECBAhMKNBZPf7XkeP1E3bTnEAxAhM/Bf/jh67WB6fWN+y3Hrp60VPpFw5d3fVT8MPX4eTzQcDokNctB7jW74Lf9nq7ewq+ft1MVb+SZvyE/KB+wr2+CV/FYDB+JU2rGgwGw9fWjN71PulT8KdfToN2vqqq3wX/wpG/GxyKI1X9Lvi/+Okjg4j/UXkX/IU/Rq976KuvOnL62j+LSC+na657V/+hXzpdzB8yhRAgQIAAAQIECBAgMBcBAchcGA1CgAABAk0SWFrp/e8c+Y1NqnkRa33FU/D1TfaUxoeo7nDo6viQ1lccujrJU/DD19PsfOjq+QNVp3kKvn5HfH246vgme2rXh66ODma9+NDVVA1vzteHrk74FPzwtTT5bFW/C759pr75friq3wV/+KU0OPyTV1f1u+A9Bb+IfwLMqbNy/LGI+FAtkVL6Qn+t+zEqBAgQIECAAAECBAgQ2CogALEfCBAgQIDAhAKdld5GRL6hPpy0voE+esp8eFDqoUg5p4h/Gj59Pj4Eddhm/Hqa0VPpeXgg6vDzTk/BnzvktR4rxk+4bz1QdXzI6/Bw1XOHrk74FHxVz6F+Yj1XFw5dHd5kj0E1PnS1nm+VR0+1T/MU/GBQ37AfjA5gPXcY62YabLbPDFJuVfW74M+2W4NWPlMdOpQGnoKfcFNqTqBhAp2V43dFxLGL/2LT+rf99ff914ZRKJcAAQIECBAgQIAAgcsICEBsDwIECBAgMKnAHV9tx9fuqCJS3tp1abV3LHLO/fXlo5MOqT0BAgQI7E7gZ371v7190Gr9SURcc3EAkl5otdI7f/Cb7/ufuxtJKwIECBAgQIAAAQIEShcQgJS+wuojQIAAgX0T6Kz2nogceWO9+4F9u6gLESBAoEEC58/9yPHWS5ad0p87D6RBG0KpBAgQIECAAAECBHYQEIDYIgQIECBAYE4CSyu9E5Ei99e6t8xpSMMQIECAwBaBred+bAfjPBBbhgABAgQIECBAgACBcwICEHuBAAECBAjMSaCzevzZyKn+Bsjb5jSkYQgQIEBgLHCpcz+2DUHCeSA2DgECBAgQIECAAAECEQIQu4AAAQIECMxJYGmld2r8DZDr5zSkYQgQIEAgIrY792P7AMR5IDYOAQIECBAgQIAAAQICEHuAAAECBAjMR+COr7aX3nzt2Xqw/vdfPBxf++BgPgMbhQABAs0W2PHcj21TEOeBNHvnqJ4AAQIECBAgQICAAMQeIECAAAECcxF4ywNPXX9mMPhRPdjZzXz9c5+97dRcBjYIAQIEGi6wm3M/ts9A0hf6a92PNZxQ+QQIECBAgAABAgQaK+AVWI1deoUTIECAwDwFOg88dVMMBt+tx0yRbuqvd783z/GNRYAAgSYKTHLux7YhiPNAmrh11EyAAAECBAgQIEBgKCAAsREIECBAgMAcBG5c7d1S5fzNeqic45aTjyyfmMOwhiBAgEBjBSY992P7AMR5II3dRAonQIAAAQIECBBovIAApPFbAAABAgQIzEOgs/rk7ZGrx+uxUqTb++vdr89jXGMQIECgiQJTn/uxbQriPJAm7iM1EyBAgAABAgQIEBCA2AMECBAgQGAOAjeu9I5WkT9fD5VTHD25tnxsDsMaggABAo0UmOXcj+0zEOeBNHIzKZoAAQIECBAgQKDRAgKQRi+/4gkQIEBgXgKd1d6DkfOn6vFSpAf7693PzGts4xAgQKBJAvM492PbEMR5IE3aSmolQIAAAQIECBAg4AwQe4AAAQIECMxDYGml92iOfPdwrJQe3Vjr3jOPcY1BgACBJgnM69yP7QMQ54E0aT+plQABAgQIECBAgIBvgNgDBAgQIEBgDgJbX9eSUnqsv9b98ByGNQQBAgQaIzD3cz+2TUGcB9KYTaVQAgQIECBAgACBxgsIQBq/BQAQIECAwDwEOiu9pyPye4djpfT0xlr31nmMawwCBAg0RWAvzv3YPgNxHkhT9pU6CRAgQIAAAQIEmi0gAGn2+queAAECBOYk0Fk5/kxEvGOUf6Rn+mvdd85paMMQIECgeIG9PPdj2xDEeSDF7ysFEiBAgAABAgQIEBCA2AMECBAgQGAOAp2V3smI/KbRUOnkxnq3M4dhDUGAAIHiBfb63I/tAxDngRS/uRRIgAABAgQIECDQeAEBSOO3AAACBAgQmIfA0mrvxZzzkWH8kdJL/bXutfMY1xgECBAoWWDfzv3YNgVxHkjJ+0ttBAgQIECAAAECBAQg9gABAgQIEJhR4PX3fuO6q9tnXtg6zNkj1mVZ7AAAIABJREFU+brnHrrtxRmH1p0AAQJFC+znuR/bZyDOAyl6kymOAAECBAgQIECg0QICkEYvv+IJECBAYB4CN97b61Tt3N86Vjty5wfrt52cx/jGIECAQIkCV+Lcj21DEOeBlLjF1ESAAAECBAgQIEAgBCA2AQECBAgQmFHghvuevDml6ltbh8kpbj65tvztGYfWnQABAkUKXKlzP7YPQJwHUuRGUxQBAgQIECBAgEDjBQQgjd8CAAgQIEBgVoGl+3u35io/tXWcVsStP1xffnrWsfUnQIBAaQJX/NyPbVMQ54GUttfUQ4AAAQIECBAgQEAAYg8QIECAAIEZBTr39e6MlL980TAp3bmx1v3KjEPrToAAgeIEFuHcj+0zEOeBFLfhFESAAAECBAgQINBoAQFIo5df8QQIECAwD4Gl1d49OefPbR0rRdzTX19+dB7jG4MAAQKlCCzSuR/bhiDOAyllu6mDAAECBAgQIECAgDNA7AECBAgQIDCrQGe193DkfP/F46SHN9a7n5x1bP0JECBQkkDnvieXc8rXLnJNrUjP99ffd9FrDRd5vuZGgAABAgQIECBAgMD2Ar4BYncQIECAAIEZBZZWe8dyzndtHSZFHOuvLx+dcWjdCRAgQIAAAQIECBAgQIAAAQIEphQQgEwJpxsBAgQIEDgn0FntPRE5v/9ikfTExnr3A5QIECBAgAABAgQIECBAgAABAgSujIAA5Mq4uyoBAgQIFCSwtNI7kSO/e2tJKaUT/bXuLQWVqRQCBAgQIECAAAECBAgQIECAwIESEIAcqOUyWQIECBBYRIHO6vFnI8dbL55benZjvfu2RZyvOREgQIAAAQIECBAgQIAAAQIEmiAgAGnCKquRAAECBPZUYGmldypHfu3Wi6SUTvXXutfv6YUNToAAAQIECBAgQIAAAQIECBAgsK2AAMTmIECAAAECswjc8dX20puvPZtzXPTv1JQi97//4uH42gcHswyvLwECBAgQIECAAAECBAgQIECAwHQCApDp3PQiQIAAAQJDgbc88NT1ZwaDH12K4+xmvv65z952ChUBAgQIECBAgAABAgQIECBAgMD+CwhA9t/cFQkQIECgIIHOA0/dFIPBdy9VUop0U3+9+72CylUKAQIECBAgQIAAAQIECBAgQODACAhADsxSmSgBAgQILKLAjau9W6qcv3mpueUct5x8ZPnEIs7bnAgQIECAAAECBAgQIECAAAECpQsIQEpfYfURIECAwJ4KdFafvD1y9filLpIi3d5f7359TydgcAIECBAgQIAAAQIECBAgQIAAgUsKCEBsDAIECBAgMIPAjSu9o1Xkz19qiJzi6Mm15WMzDK8rAQIECBAgQIAAAQIECBAgQIDAlAICkCnhdCNAgAABArVAZ7X3YOT8qUtppEgP9te7nyFFgAABAgQIECBAgAABAgQIECCw/wICkP03d0UCBAgQKEhgaaX3aI589yVLSunRjbXuPQWVqxQCBAgQIECAAAECBAgQIECAwIEREIAcmKUyUQIECBBYRIHOyvHHIuJDl5pbSumx/lr3w4s4b3MiQIAAAQIECBAgQIAAAQIECJQuIAApfYXVR4AAAQJ7KtBZ6T0dkd97yYuk9PTGWvfWPZ2AwQkQIECAAAECBAgQIECAAAECBC59a4YLAQIECBAgML1AZ+X4MxHxjkuNkFJ6pr/Wfef0o+tJgAABAgQIECBAgAABAgQIECAwrYBvgEwrpx8BAgQIEKgPQV/pnYzIb7o0Rjq5sd7tgCJAgAABAgQIECBAgAABAgQIENh/AQHI/pu7IgECBAgUJLC02nsx53zkUiWllF7qr3WvLahcpRAgQIAAAQIECBAgQIAAAQIEDoyAAOTALJWJEiBAgMCiCbz+3m9cd3X7zAuXm9fZI/m65x667cVFm7v5ECBAgAABAgQIECBAgAABAgRKFxCAlL7C6iNAgACBPRO48d5ep2rn/uUu0I7c+cH6bSf3bBIGJkCAAAECBAgQIECAAAECBAgQuKSAAMTGIECAAAECUwrccN+TN6dUfety3XOKm0+uLX97ykvoRoAAAQIECBAgQIAAAQIECBAgMKWAAGRKON0IECBAgMDS/b1bc5WfupxEK+LWH64vP02LAAECBAgQIECAAAECBAgQIEBgfwUEIPvr7WoECBAgUJBA577enZHyly9bUkp3bqx1v1JQ2UohQIAAAQIECBAgQIAAAQIECBwIAQHIgVgmkyRAgACBRRRYWu3dk3P+3OXmliLu6a8vP7qI8zcnAgQIECBAgAABAgQIECBAgEDJAgKQkldXbQQIECCwpwKd1d7DkfP9l79IenhjvfvJPZ2IwQkQIECAAAECBAgQIECAAAECBF4hIACxKQgQIECAwJQCS6u9Yznnuy7XPUUc668vH53yEroRIECAAAECBAgQIECAAAECBAhMKSAAmRJONwIECBAg0FntPRE5v//yEumJjfXuB2gRIECAAAECBAgQIECAAAECBAjsr4AAZH+9XY0AAQIEChJYWumdyJHffbmSUkon+mvdWwoqWykECBAgQIAAAQIECBAgQIAAgQMhIAA5EMtkkgQIECCwiAKd1ePPRo63Xn5u6dmN9e7bFnH+5kSAAAECBAgQIECAAAECBAgQKFlAAFLy6qqNAAECBPZUYGmldypHfu3lLpJSOtVf616/pxMxOAECBAgQIECAAAECBAgQIECAwCsEBCA2BQECBAgQmEbgjq+2l9587dmc47L/Lk0pcv/7Lx6Or31wMM1l9CFAgAABAgQIECBAgAABAgQIEJhOQAAynZteBAgQINBwgbc88NT1ZwaDH+2G4exmvv65z952ajdttSFAgAABAgQIECBAgAABAgQIEJiPgABkPo5GIUCAAIGGCXQeeOqmGAy+u5uyU6Sb+uvd7+2mrTYECBAgQIAAAQIECBAgQIAAAQLzERCAzMfRKAQIECDQMIEbV3u3VDl/czdl5xy3nHxk+cRu2mpDgAABAgQIECBAgAABAgQIECAwHwEByHwcjUKAAAECDRPorD55e+Tq8d2UnSLd3l/vfn03bbUhQIAAAQIECBAgQIAAAQIECBCYj4AAZD6ORiFAgACBhgncuNI7WkX+/G7KzimOnlxbPrabttoQIECAAAECBAgQIECAAAECBAjMR0AAMh9HoxAgQIBAwwQ6q70HI+dP7absFOnB/nr3M7tpqw0BAgQIECBAgAABAgQIECBAgMB8BAQg83E0CgECBAg0TGBppfdojnz3rspO6dGNte49u2qrEQECBAgQIECAAAECBAgQIECAwFwEBCBzYTQIAQIECDRNoLNy/LGI+NBu6k4pPdZf6354N221IUCAAAECBAgQIECAAAECBAgQmI+AAGQ+jkYhQIAAgYYJdFZ6T0fk9+6q7JSe3ljr3rqrthoRIECAAAECBAgQIECAAAECBAjMRUAAMhdGgxAgQIBA0wQ6K8efiYh37KbulNIz/bXuO3fTVhsCBAgQIECAAAECBAgQIECAAIH5CAhA5uNoFAIECBBomEBnpXcyIr9pd2Wnkxvr3c7u2mpFgAABAgQIECBAgAABAgQIECAwDwEByDwUjUGAAAECjRNYWu29mHM+spvCU0ov9de61+6mrTYECBAgQIAAAQIECBAgQIAAAQLzERCAzMfRKAQIECDQIIHX3/uN665un3lhkpLPHsnXPffQbS9O0kdbAgQIECBAgAABAgQIECBAgACB6QUEINPb6UmAAAECDRW48d5ep2rn/iTltyN3frB+28lJ+mhLgAABAgQIECBAgAABAgQIECAwvYAAZHo7PQkQIECgoQI33PfkzSlV35qk/Jzi5pNry9+epI+2BAgQIECAAAECBAgQIECAAAEC0wsIQKa305MAAQIEGiqwdH/v1lzlpyYpvxVx6w/Xl5+epI+2BAgQIECAAAECBAgQIECAAAEC0wsIQKa305MAAQIEGirQua93Z6T85YnKT+nOjbXuVybqozEBAgQIECBAgAABAgQIECBAgMDUAgKQqel0JECAAIGmCiyt9u7JOX9ukvpTxD399eVHJ+mjLQECBAgQIECAAAECBAgQIECAwPQCApDp7fQkQIAAgYYKdFZ7D0fO909Wfnp4Y737ycn6aE2AAAECBAgQIECAAAECBAgQIDCtgABkWjn9CBAgQKCxAkurvWM557smAUgRx/rry0cn6aMtAQIECBAgQIAAAQIECBAgQIDA9AICkOnt9CRAgACBhgp0VntPRM7vn6z89MTGevcDk/XRmgABAgQIECBAgAABAgQIECBAYFoBAci0cvoRIECAQGMFllZ6J3Lkd08CkFI60V/r3jJJH20JECBAgAABAgQIECBAgAABAgSmFxCATG+nJwECBAg0VKCzevzZyPHWycpPz26sd982WR+tCRAgQIAAAQIECBAgQIAAAQIEphUQgEwrpx8BAgQINFZgaaV3Kkd+7SQAKaVT/bXu9ZP00ZYAAQIECBAgQIAAAQIECBAgQGB6AQHI9HZ6EiBAgEATBe74anvpzdeezTkm+ndoSpH733/xcHztg4MmsqmZAAECBAgQIECAAAECBAgQILDfAhPdvNnvybkeAQIECBBYNIG3PPDU9WcGgx9NM6+zm/n65z5726lp+upDgAABAgQIECBAgAABAgQIECAwmYAAZDIvrQkQIECg4QKdB566KQaD707DkCLd1F/vfm+avvoQIECAAAECBAgQIECAAAECBAhMJiAAmcxLawIECBBouMCNq71bqpy/OQ1DznHLyUeWT0zTVx8CBAgQIECAAAECBAgQIECAAIHJBAQgk3lpTYAAAQINF+isPnl75OrxaRhSpNv7692vT9NXHwIECBAgQIAAAQIECBAgQIAAgckEBCCTeWlNgAABAg0XuHGld7SK/PlpGHKKoyfXlo9N01cfAgQIECBAgAABAgQIECBAgACByQQEIJN5aU2AAAECDRforPYejJw/NQ1DivRgf737mWn66kOAAAECBAgQIECAAAECBAgQIDCZgABkMi+tCRAgQKDhAksrvUdz5LunYkjp0Y217j1T9dWJAAECBAgQIECAAAECBAgQIEBgIgEByERcGhMgQIBA0wU6K8cfi4gPTeOQUnqsv9b98DR99SFAgAABAgQIECBAgAABAgQIEJhMQAAymZfWBAgQINBwgc5K7+mI/N6pGFJ6emOte+tUfXUiQIAAAQIECBAgQIAAAQIECBCYSEAAMhGXxgQIECDQdIHOyvFnIuId0ziklJ7pr3XfOU1ffQgQIECAAAECBAgQIECAAAECBCYTEIBM5qU1AQIECDRcoLPSOxmR3zQdQzq5sd7tTNdXLwIECBAgQIAAAQIECBAgQIAAgUkEBCCTaGlLgAABAo0XWFrtvZhzPjINRErppf5a99pp+upDgAABAgQIECBAgAABAgQIECAwmYAAZDIvrQkQIECgwQKvv/cb113dPvPCLARnj+TrnnvothdnGUNfAgQIECBAgAABAgQIECBAgACBnQUEIDsbaUGAAAECBIYCN97b61Tt3J+Fox2584P1207OMoa+BAgQIECAAAECBAgQIECAAAECOwsIQHY20oIAAQIECAwFbrjvyZtTqr41C0dOcfPJteVvzzKGvgQIECBAgAABAgQIECBAgAABAjsLCEB2NtKCAAECBAgMBZbu792aq/zULBytiFt/uL789Cxj6EuAAAECBAgQIECAAAECBAgQILCzgABkZyMtCBAgQIDAUKBzX+/OSPnLM3GkdOfGWvcrM42hMwECBAgQIECAAAECBAgQIECAwI4CApAdiTQgQIAAAQIjgaXV3j0558/N4pEi7umvLz86yxj6EiBAgAABAgQIECBAgAABAgQI7CwgANnZSAsCBAgQIDAU6Kz2Ho6c75+NIz28sd795Gxj6E2AAAECBAgQIECAAAECBAgQILCTgABkJyG/T4AAAQIExgJLq71jOee7ZgFJEcf668tHZxlDXwIECBAgQIAAAQIECBAgQIAAgZ0FBCA7G2lBgAABAgSGAp3V3hOR8/tn40hPbKx3PzDbGHoTIECAAAECBAgQIECAAAECBAjsJCAA2UnI7xMgQIAAgbHA0krvRI787llAUkon+mvdW2YZQ18CBAgQIECAAAECBAgQIECAAIGdBQQgOxtpQYAAAQIEhgKd1ePPRo63zsaRnt1Y775ttjH0JkCAAAECBAgQIECAAAECBAgQ2ElAALKTkN8nQIAAAQJjgaWV3qkc+bWzgKSUTvXXutfPMoa+BAgQIECAAAECBAgQIEDg/7N3J3CXjgX/wH/Hkq20WFLR8Gr3JgpR0Y6a8RYiKapXpJKlv5ohlXgxI0lvpWixtiGESbTztkqpKBWZmUSWRLYsM+f/uTpnep5nnmfm2c45zzn3+V6fz3zKnPu+lu91m3ncv3NdFwECBEYXEICMbuQKAgQIECCQ7HLW8utvuOpD9Xom9XdnrZb6vOvvWzFn77oQKwECBAgQIECAAAECBAgQIECAQPsEJvUSp33dUjMBAgQIEOgugaceevFaDy5ceGsrevXQw/W1bvroDre3oi51ECBAgAABAgQIECBAgAABAgQIjCwgAPFkECBAgACBMQhMO/TiZ2XhwmvGcOmol9RSe9a8OdN/N+qFLiBAgAABAgQIECBAgAABAgQIEJiwgABkwnRuJECAAIF+Ethg1txtFtXrP2jFmOv1bLPg2BmXt6IudRAgQIAAAQIECBAgQIAAAQIECIwsIADxZBAgQIAAgTEITJv1jZ1TX3TOGC4d9ZJaajvPmzP93FEvdAEBAgQIECBAgAABAgQIECBAgMCEBQQgE6ZzIwECBAj0k8AGM+e+fVHqn2nFmOu1vH3B7Bknt6IudRAgQIAAAQIECBAgQIAAAQIECIwsIADxZBAgQIAAgTEITJs197DU60eO4dJRL6mldti8OdOPGvVCFxAgQIAAAQIECBAgQIAAAQIECExYQAAyYTo3EiBAgEA/Caw/c+4J9dQPaMmYa7UT5s+eflBL6lIJAQIECBAgQIAAAQIECBAgQIDAiAICEA8GAQIECBAYg8C0mRd9McnuY7h01EtqtdoX582e/qZRL3QBAQIECBAgQIAAAQIECBAgQIDAhAUEIBOmcyMBAgQI9JPAtJlzL0nq27ZkzLXaJfNnT9++JXWphAABAgQIECBAgAABAgQIECBAYEQBAYgHgwABAgQIjEFg2syLfpFk0zFcOuoltVrtF/NmT3/eqBe6gAABAgQIECBAgAABAgQIECBAYMICApAJ07mRAAECBPpJYNrMuQuS+nqtGXNtwfw506e1pi61ECBAgAABAgQIECBAgAABAgQIjCQgAPFcECBAgACBMQisP2vuffV6fZUxXDrqJbVa7f55s6evOuqFLiBAgAABAgQIECBAgAABAgQIEJiwgABkwnRuJECAAIF+EVjn4EtXW2n5B+9p5XgfWqW+2k2H73BfK+tUFwECBAgQIECAAAECBAgQIECAwICAAMTTQIAAAQIERhHY4OC50xYtX5/XSqjlU5/2pzk7LGhlneoiQIAAAQIECBAgQIAAAQIECBAQgHgGCBAgQIDAmAWe/L5vbFarLbpizDeM4cJ6LZstmD3jyjFc6hICBAgQIECAAAECBAgQIECAAIEJCFgBMgE0txAgQIBAfwmsf8jc7euL6he3ctTLJdvfMGfGJa2sU10ECBAgQIAAAQIECBAgQIAAAQIDAgIQTwMBAgQIEBhFYNr75u6RWv30lkLVanvMnz39zJbWqTICBAgQIECAAAECBAgQIECAAIF/CwhAPAwECBAgQGAUgfVnzT2oXq8f30qoWnLQvDkzTmhlneoiQIAAAQIECBAgQIAAAQIECBAYEBCAeBoIECBAgMAoAtNmzT069fohrYWqHT1/zvT3t7ZOtREgQIAAAQIECBAgQIAAAQIECCwWEIB4FggQIECAwCgC68+ae3K9Xt+7lVC15OR5c2a8vZV1qosAAQIECBAgQIAAAQIECBAgQGBAQADiaSBAgAABAqMITJs197zU669tLVTtvPlzpu/U2jrVRoAAAQIECBAgQIAAAQIECBAgsFhAAOJZIECAAAECowisP3Pu5fXUX9RKqFqtdvm82dO3aWWd6iJAgAABAgQIECBAgAABAgQIEBgQEIB4GggQIECAwCgC02ZddG3qeXproWrXzp8z/ZmtrVNtBAgQIECAAAECBAgQIECAAAECiwUEIJ4FAgQIECAwisD6M+feXk99jVZC1Wq12+fNnr5WK+tUFwECBAgQIECAAAECBAgQIECAwICAAMTTQIAAAQIEliWwy1nLr7/hqg/V62np35m1Wurzrr9vxZy960ITQIAAAQIECBAgQIAAAQIECBAg0HqBlr7MaX331EiAAAECBKZW4KmHXrzWgwsX3tqOXjz0cH2tmz66w+3tqFudBAgQIECAAAECBAgQIECAAIF+FxCA9PsTYPwECBAgsEyBaYde/KwsXHhNO5hqqT1r3pzpv2tH3eokQIAAAQIECBAgQIAAAQIECPS7gACk358A4ydAgACBZQpsMGvuNovq9R+0g6lezzYLjp1xeTvqVicBAgQIECBAgAABAgQIECBAoN8FBCD9/gQYPwECBAgsU2DarG/snPqic9rBVEtt53lzpp/bjrrVSYAAAQIECBAgQIAAAQIECBDodwEBSL8/AcZPgAABAssU2GDm3LcvSv0z7WCq1/L2BbNnnNyOutVJgAABAgQIECBAgAABAgQIEOh3AQFIvz8Bxk+AAAECyxSYNmvuYanXj2wHUy21w+bNmX5UO+pWJwECBAgQIECAAAECBAgQIECg3wUEIP3+BBg/AQIECCxTYP2Zc0+op35AW5hqtRPmz55+UFvqVikBAgQIECBAgAABAgQIECBAoM8FBCB9/gAYPgECBAgsW2DazIu+mGT3djjVarUvzps9/U3tqFudBAgQIECAAAECBAgQIECAAIF+FxCA9PsTYPwECBAgsEyBaTPnXpLUt20LU612yfzZ07dvS90qJUCAAAECBAgQ6DqBaTMvqnddp7qgQ/PnzPB+qgvmQRcIECBQRQF/wVRxVo2JAAECBFomMG3mRb9IsmnLKhxUUa1W+8W82dOf14661UmAAAECBAgQINB9AgKQkedEANJ9z6oeESBAoCoCApCqzKRxECBAgEBbBKbNnLsgqa/XlspTWzB/zvRp7albrQQIECBAgAABAt0mIAARgHTbM6k/BAgQqLqAAKTqM2x8BAgQIDApgfVnzb2vXq+vMqlKlnJzrVa7f97s6au2o251EiBAgAABAgQIdJ+AAEQA0n1PpR4RIECg2gICkGrPr9ERIECAwCQE1jn40tVWWv7BeyZRxai3PrRKfbWbDt/hvlEvdAEBAgQIECBAgEDPCwhABCA9/xAbAAECBHpMQADSYxOmuwQIECDQOYENDp47bdHy9XntbHH51Kf9ac4OC9rZhroJECBAgAABAgS6Q0AAIgDpjidRLwgQINA/AgKQ/plrIyVAgACBcQo8+X3f2KxWW3TFOG8b1+X1WjZbMHvGleO6ycUECBAgQIAAAQI9KSAAEYD05IOr0wQIEOhhAQFID0+erhMgQIBAewXWP2Tu9vVF9Yvb2cpyyfY3zJlxSTvbUDcBAgQIECBAgAABAgQIECBAoB8FBCD9OOvGTIAAAQJjEpj2vrl7pFY/fUwXT/SiWm2P+bOnnznR291HgAABAgQIECBAgAABAgQIECAwsoAAxJNBgAABAgSWIrD+rLkH1ev149sJVEsOmjdnxgntbEPdBAgQIECAAAECBAgQIECAAIF+FBCA9OOsGzMBAgQIjElg2qy5R6deP2RMF0/4otrR8+dMf/+Eb3cjAQIECBAgQIAAAQIECBAgQIDAiAICEA8GAQIECBBYisD6s+aeXK/X924nUC05ed6cGW9vZxvqJkCAAAECBAgQIECAAAECBAj0o4AApB9n3ZgJECBAYEwC02bNPS/1+mvHdPGEL6qdN3/O9J0mfLsbCRAgQIAAAQIECBAgQIAAAQIERhQQgHgwCBAgQIDAUgTWnzn38nrqL2onUK1Wu3ze7OnbtLMNdRMgQIAAAQIECBAgQIAAAQIE+lFAANKPs27MBAgQIDAmgWmzLro29Tx9TBdP+KLatfPnTH/mhG93IwECBAgQIECAAAECBAgQIECAwIgCAhAPBgECBAgQWIrA+jPn3l5PfY12AtVqtdvnzZ6+VjvbUDcBAgQIECBAgAABAgQIECBAoB8FBCD9OOvGTIAAAQKjC+xy1vLrb7jqQ/V62vp3Za2W+rzr71sxZ++6cPROuYIAAQIECBAgQIAAAQIECBAgQGCsAm19qTPWTriOAAECBAh0m8BTD714rQcXLry1E/166OH6Wjd9dIfbO9GWNggQIECAAAECBAgQIECAAAEC/SIgAOmXmTZOAgQIEBiXwLRDL35WFi68Zlw3TfDiWmrPmjdn+u8meLvbCBAgQIAAAQIECBAgQIAAAQIERhAQgHgsCBAgQIDACAIbzJq7zaJ6/QedwKnXs82CY2dc3om2tEGAAAECBAgQIECAAAECBAgQ6BcBAUi/zLRxEiBAgMC4BKbN+sbOqS86Z1w3TfDiWmo7z5sz/dwJ3u42AgQIECBAgAABAgQIECBAgACBEQQEIB4LAgQIECAwgsAGM+e+fVHqn+kETr2Wty+YPePkTrSlDQIECBAgQIAAAQIECBAgQIBAvwgIQPplpo2TAAECBMYlMG3W3MNSrx85rpsmeHEttcPmzZl+1ARvdxsBAgQIECBAgAABAgQIECBAgMAIAgIQjwUBAgQIEBhBYP2Zc0+op35AR3BqtRPmz55+UEfa0ggBAgQIECBAgAABAgQIECBAoE8EBCB9MtGGSYAAAQLjE5g286IvJtn52lmGAAAgAElEQVR9fHdN7OparfbFebOnv2lid7uLAAECBAgQIECAAAECBAgQIEBgJAEBiOeCAAECBAiMIDBt5txLkvq2HcGp1S6ZP3v69h1pSyMECBAgQIAAAQIECBAgQIAAgT4REID0yUQbJgECBAiMT2DazIt+kWTT8d01satrtdov5s2e/ryJ3e0uAgQIECBAgAABAgQIECBAgACBkQQEIJ4LAgQIECAwgsC0mXMXJPX1OoNTWzB/zvRpnWlLKwQIECBAgAABAgQIECBAgACB/hAQgPTHPBslAQIECIxTYP1Zc++r1+urjPO2CV1eq9Xunzd7+qoTutlNBAgQIECAAAECBAgQIECAAAECIwoIQDwYBAgQIECAAAECBAgQIECAAAECBAgQIECAQOUEBCCVm1IDIkCAAAECBAgQIECAAAECBAgQIECAAAECBAQgngECBAgQIECAAAECBAgQIECAAAECBAgQIECgcgICkMpNqQERIECAAAECBAgQIECAAAECBAgQIECAAAECAhDPAAECBAgQIECAAAECBAgQIECAAAECBAgQIFA5AQFI5abUgAgQIECAAAECBAgQIECAAAECBAgQIECAAAEBiGeAAAECBAgQIECAAAECBAgQIECAAAECBAgQqJyAAKRyU2pABAgQIECAAAECBAgQIECAAAECBAgQIECAgADEM0CAAAECBAgQIECAAAECBAgQIECAAAECBAhUTkAAUrkpNSACBAgQIECAAAECBAgQIECAAAECBAgQIEBAAOIZIECAAAECBAgQIECAAAECBAgQIECAAAECBConIACp3JQaEAECBAgQIECAAAECBAgQIECAAAECBAgQICAA8QwQIECAAAECBAgQIECAAAECBAgQIECAAAEClRMQgFRuSg2IAAECBAgQIECAAAECBAgQIECAAAECBAgQEIB4BggQIECAAAECBAgQIECAAAECBAgQIECAAIHKCQhAKjelBkSAAAECBAgQIECAAAECBAgQIECAAAECBAgIQDwDBAgQIECAAAECBAgQIECAAAECBAgQIECAQOUEBCCVm1IDIkCAAAECBAgQIECAAAECBAgQIECAAAECBAQgngECBAgQIECAAAECBAgQIECAAAECBAgQIECgcgICkMpNqQERIECAAAECBAgQIECAAAECBAgQIECAAAECAhDPAAECBAgQIECAAAECBAgQIECAAAECBAgQIFA5AQFI5abUgAgQIECAAAECBAgQIECAAAECBAgQIECAAAEBiGeAAAECBAgQIECAAAECBAgQIECAAAECBAgQqJyAAKRyU2pABAgQIECAAAECBAgQIECAAAECBAgQIECAgADEM0CAAAECBAgQIECAAAECBAgQIECAAAECBAhUTkAAUrkpNSACBAgQIECAAAECBAgQIECAAAECBAgQIEBAAOIZIECAAAECBAgQIECAAAECBAgQIECAAAECBConIACp3JQaEAECBAgQIECAAAECBAgQIECAAAECBAgQICAA8QwQIECAAAECBAgQIECAAAECBAgQIECAAAEClRMQgFRuSg2IAAECBAgQIECAAAECBAgQIECAAAECBAgQEIB4BggQIECAAAECBAgQIECAAAECBAgQIECAAIHKCQhAKjelBkSAAAECBAgQIECAAAECBAgQIECAAAECBAgIQDwDBAgQIECAAAECBAgQIECAAAECBAgQIECAQOUEBCCVm1IDIkCAAAECBAgQIECAAAECBAgQIECAAAECBAQgngECBAgQIECAAAECBAgQIECAAAECBAgQIECgcgICkMpNqQERIECAAAECBAgQIECAAAECBAgQIECAAAECAhDPAAECBAgQIECAAAECBAgQIECAAAECBAgQIFA5AQFI5abUgAgQIECAAAECBAgQIECAAAECBAgQIECAAAEBiGeAAAECBAgQIECAAAECBAgQIECAAAECBAgQqJyAAKRyU2pABAgQIECAAAECBAgQIECAAAECBAgQIECAgADEM0CAAAECBAgQIECAAAECBAgQIECAAAECBAhUTkAAUrkpNSACBAgQIECAAAECBAgQIECAAAECBAgQIEBAAOIZIECAAAECBAgQIECAAAECBAgQIECAAAECBConIACp3JQaEAECBAgQIECAAAECBAgQIECAAAECBAgQICAA8QwQIECAAAECBAgQIECAAAECBAgQIECAAAEClRMQgFRuSg2IAAECBAgQIECAAAECBAgQIECAAAECBAgQEIB4BggQIECAAAECBAgQIECAAAECBAgQIECAAIHKCQhAKjelBkSAAAECBAgQIECAAAECBAgQIECAAAECBAgIQDwDBAgQIECAAAECBAgQIECAAAECBAgQIECAQOUEBCCVm1IDIkCAAAECBAgQIECAAAECBAgQIECAAAECBAQgngECBAgQIECAAAECBAgQIECAAAECBAgQIECgcgICkMpNqQERIECAAAECBAgQIECAAAECBAgQIECAAAECAhDPAAECBAgQIECAAAECBAgQIECAAAECBAgQIFA5AQFI5abUgAgQIECAAAECBAgQIECAAAECBAgQIECAAAEBiGeAAAECBAgQIECAAAECBAgQIECAAAECBAgQqJyAAKRyU2pABAgQIECAAAECBAgQIECAAAECBAgQIECAgADEM0CAAAECBAgQIECAAAECBAgQIECAAAECBAhUTkAAUrkpNSACBAgQIECAAAECBAgQIECAAAECBAgQIEBAAOIZIECAAAECBAgQIECAAAECBAgQIECAAAECBConIACp3JQaEAECBAgQIECAAAECBAgQIECAAAECBAgQICAA8QwQIECAAAECBAgQIECAAAECBAgQIECAAAEClRMQgFRuSg2IAAECBAgQIECAAAECBAgQIECAAAECBAgQEIB4BggQIECAAAECBAgQIECAAAECBAgQIECAAIHKCQhAKjelBkSAAAECBAgQIECAAAECBAgQIECAAAECBAgIQDwDBAgQIECAAAECBAgQIECAAAECBAgQIECAQOUEBCCVm1IDIkCAAAECBAgQIECAAAECBAgQIECAAAECBAQgngECBAgQIECAAAECBAgQIECAAAECBAgQIECgcgICkMpNqQERIECAAAECBAgQIECAAAECBAgQIECAAAECAhDPAAECBAgQIECAAAECBAgQIECAAAECBAgQIFA5AQFI5abUgAgQIECAAAECBAgQIECAAAECBAgQIECAAAEBiGeAAAECBAgQIECAAAECBAgQIECAAAECBAgQqJyAAKRyU2pABAgQIECAAAECBAgQIECAAAECBAgQIECAgADEM0CAAAECBAgQIECAAAECBAgQIECAAAECBAhUTkAAUrkpNSACBAgQIECAAAECBAgQIECAAAECBAgQIEBAAOIZIECAAAECBAgQIECAAAECBAgQIECAAAECBConIACp3JQaEAECBAgQIECAAAECBAgQIECAAAECBAgQICAA8QwQIECAAAECBAgQIECAAAECBAgQIECAAAEClRMQgFRuSg2IAAECBAgQIECAAAECBAgQIECAAAECBAgQEIB4BggQIECAAAECBAgQIECAAAECBAgQIECAAIHKCQhAKjelBkSAAAECBAgQIECAAAECBAgQIECAAAECBAgIQDwDBAgQIECAAAECBAgQIECAAAECBAgQIECAQOUEBCCVm1IDIkCAAAECBAgQIECAAAECBAgQIECAAAECBAQgngECBAgQIECAAAECBAgQIECAAAECBAgQIECgcgICkMpNqQERIECAAAECBAgQIECAAAECBAgQIECAAAECAhDPAAECBAgQIECAAAECBAgQIECAAAECBAgQIFA5AQFI5abUgAgQIECAAAECBAgQIECAAAECBAgQIECAAAEBiGeAAAECBAgQIECAAAECBAgQIECAAAECBAgQqJyAAKRyU2pABAgQIECAAAECBAgQIECAAAECBAgQIECAgADEM0CAAAECBAgQIECAAAECBAgQIECAAAECBAhUTkAAUrkpNSACBAgQIECAAAECBAgQIECAAAECBAgQIEBAAOIZIECAAAECBAgQIECAAAECBAgQIECAAAECBConIACp3JQaEAECBAgQIECAAAECBAgQIECAAAECBAgQICAA8QwQIECAAAECBAgQIECAAAECBAgQIECAAAEClRMQgFRuSg2IAAECBAgQIECAAAECBAgQIECAAAECBAgQEIB4BggQIECAAAECBAgQIECAAAECBAgQIECAAIHKCQhAKjelBkSAAAECBAgQIECAAAECBAgQIECAAAECBAgIQDwDBAgQIECAAAECBAgQIECAAAECBAgQIECAQOUEBCCVm1IDIkCAAAECBAgQIECAAAECBAgQIECAAAECBAQgngECBAgQIECAAAECBAgQIECAAAECBAgQIECgcgICkMpNqQERIECAAAECBAgQIECAAAECBAgQIECAAAECAhDPAAECBAgQIECAAAECBAgQIECAAAECBAgQIFA5AQFI5abUgAgQIECAAAECBAgQIECAAAECBAgQIECAAAEBiGeAAAECBAgQIECAAAECBAgQIECAAAECBAgQqJyAAKRyU2pABAgQIECAAAECBAgQIECAAAECBAgQIECAgADEM0CAAAECBAgQIECAAAECBAgQIECAAAECBAhUTkAAUrkpNSACBAgQIECAAAECBAgQIECAAAECBAgQIEBAAOIZIECAAAECBAgQIECAAAECBAgQIECAAAECBConIACp3JQaEAECBAgQIECAAAECBAgQIECAAAECBAgQICAA8QwQIECAAAECBAgQIECAAAECBAgQIECAAAEClRMQgFRuSts6oLWTbNH8tXmS8muNZounJXlLG1p/Q5K3Jtk4yWOS3JLk8iSfSvLjNrSnSgIECBAgQIAAAQIECBAgQIAAAQIEekignkxLsn+S6UnWS/JAkuuTnFXeI9aS+yY6nHry6CQzkrwiyXOTrJ9k1SR3Jrk6yUVJPl9r/LPSZQICkC6bkC7vTn0Z/Wt1ALJKknOSvHopbS5KckSSD3e5me4RIECAAAECBAgQIECAAAECBAgQINAmgXqyQ5Izk6y+lCb+UIKRWnLdeLtQT16V5LwkK41y71+T7F5LvjfeNlzfXgEBSHt9q1b74ABkQZJrk2zbHGSrA5AvJ9mtWXf5g+PjSW5K8uwkhybZsPnZ25OcXDVo4yFAgAABAgQIECBAgAABAgQIECBAYNkC9WTTJD9MUr5MfU+SY9IIIco/l3eLezdrKCHIZrXk7vGY1pM3JTkjSfky9reSfDPJr5qrP9ZN8sYkr2/WWVaZvLCWXDWeNlzbXgEBSHt9q1Z7WW1xRfNX2YqqLPe6oQ0ByMuSfKdZ74VJdkyycBDmmkmuTPLk5h82/5Hk71XDNh4CBAgQIECAAAECBAgQIECAAAECBJYuUE8uS7J1koeTbFNbYsv8evLeJMc2a/hwLTl8PJ71Rrjx0iRH15LyhfBhpZ68O8n/Nj/4Xi0p7zaVLhEQgHTJRPRoN9oVgHwjjeVl5Q+uDZLcOIJPSXDLKpFS3pfkIz1qqNsECBAgQIAAAQIECBAgQIAAAQIECIxToN44q/inzdtOqiX7LllFPVmueU7HM5tfpF67ljw0zqZGvbze+NL4Zs2VIo+vJbePepMLOiIgAOkIc2UbaUcA8qg0/oB4RHNJWQlCRirl89uae/uVw9BfUFllAyNAgAABAgQIECBAgAABAgQIECBAYIhAPTk6ySHN39yyNhCGLHndrObWWOX3t6sll7aast74cvbBzXq3qDUCEaULBAQgXTAJPdyFdgQgg7e/Kn+AzV6GzyXNM0jKSpFV04b0tofnRtcJECBAgAABAgQIECBAgAABAgQIVFZg0PZX9yZ5TK2xm8ywUk+2SvKj5gdH1JIPtRql3tgCq2yFVcrzaskvWt2G+iYmIACZmJu7GgLtCED2S/KJJnA5++P8ZWCXg9H3b36+UZLfmhgCBAgQIECAAAECBAgQIECAAAECBKovUG/sDlPOCv5VLdlkaSOuJ49Nckfz87Nrya6t1qk3DkbfuPkF7TVryT9a3Yb6JiYgAJmYm7saAu0IQMqKj5lN4M2T/HwZ2GVZ2eKzP7ZPUlaEjLWsO8qFj2yuLimHq1+f5MGxVuw6AgQIECBAgAABAgQIECBAgAABAgT+tcX9hmkEEGXbqXtGMRnpHOARb6knKye5v/nh3FoyY1l11xttr5bkJ7XGipCWlXoyPclFzQovqiU7tKxyFU1aQAAyacK+rqAdAcinkryzqVoOJ7p2GcLvSHJi8/PXJfnaOGajPo5rXUqAAAECBAgQIECAAAECBAgQIECAQHsFxvyuup6sleTWZne+Wkt2W1bX6sktSdYuB6LXkme3ahj15HFpbHc1LcnCJJvXkl+2qn71TF5gzA/V5JtSQwUF2hGAfD7JfzetSkL8p2W4levK9aXskeTMcRgLQMaB5VICBAgQIECAAAECBAgQIECAAAECbRYY87vqerJekgXN/pxRS/ZcVt/qjWvLPdfXkqe0Yhz1ZPnmyo+yM00pH64lh7eibnW0TmDMD1XrmlRThQTaEYB0agXIaFtgPTfJ18tcnXLKKdloo41Sryf15++QJ/0rMFYIELhvxozc9cEPgiBAgAABAgQIECBAgAABAgQIDBO45ppr8ta3vnXx77+muVJiWVLj2QJryleA1JOTkuzTHFDZAuu1tcYqEKWLBAQgXTQZPdiVdgQgnToDZDTuzZJcUS762c9+ls033/xfAcg1l/0td/19Ue68M7nrruTvf8+//3/5vTvuSG65JfnrX5M77xqtifF//oR1kk02SbbYInn+85PnPCd5RNlNUSHQDoF77kn+8pfGrxtvTC65JPnWtwZaetGLkssvb0fL6iRAgAABAgQIECBAgAABAgR6XOCKK67IFuUlVqOMdtbvuEY71WeA1JNjksxqdrq8HNmuNnAmybjG4uL2CghA2utb9drbEYDsl+QTTbgdk5y/DMSPJ9m/+flGSX7bQvBhAch4677//uTmm5Obbmq8O77hhuT665M//anx689/ThYtGm+tQ69feeVGEFLeQ2+9dfLCFyaPLMe3KwTaIXDBBclryhc2mmWddRoPuUKAAAECBAgQIECAAAECBAgQWEKgnQFIaaqe3J5kjSS/qiWbLG0C6o1D2O9ofn52Ldl1MpNVT2YmKV/iLqWc//HSWvKPydTp3vYJCEDaZ9sPNbcjAHlZku808Q4Z9IfJSJ6XJNk2ycNJVk3yUAvRJx2AjNaXBx9shCK//W1yzTUDv669NnlogiNZccVkq62SV76y8WuzzZLly26ECoFWCJSHdaOSNQ4qd98tdWuFrToIECBAgAABAgQIECBAgEDFBDoQgFyWZOsk9yZ5TK3xjnBYqSdbJflR84MjasmHJkpdT96ZpGzhX8rvkmxTawQxSpcKCEC6dGJ6pFvtCEAelcYfGmVjp28medVSLMrntyVZPcmPk7ygxWZtD0CW1t8Sfvzxj8kvf5n8/OfJlVcmv/hFcm/5o3yc5TGPSV72smT77ZMZM5InPGGcFbicwGCBf/4zWXXV/Gs/uMXlqqsae7EpBAgQIECAAAECBAgQIECAAIFBAh0IQI5OUr5AXcqWteSnI01AvbFVVdmyqpSyVdWlE5moerJHktOSlHfqfyrhSy25aSJ1uadzAgKQzllXsaV2BCDF6RvN4KOkthskGekApN2SfLmJ+r4kH2kx8JQFICONY+HC5Pe/T664IvnJTxrHLpRVI+Mtm2+e7LBD8l//lWy8cVLzJ8B4CV0/bVqyYMGAw9lnJ697HRcCBAgQIECAAAECBAgQIECAwBCBDgQg5YCRxaHHSbVk3yWnoJ4sl+TqJM9McmeStWsT2EWmnuyU5KwkZa+V8q6yhB/zTHn3C3j92f1z1M09nEgA8pYkpzQH9eEkh48wwMHbYF2Qxh8wCwddt2aSK5M8ufkH138k+XuLoboqABlpbOXA9R/9KPm//2sEIj/7WfLwiAv9RpZZb73GcQ677NI4O8RWWS1+gqpa3ctfnnz3uwOjO+aYZNbiM7+qOmjjIkCAAAECBAgQIECAAAECBMYr0O4ApPSnnizeBqu8FSvbUZWdYv5d6sl7kxy7+F1kbYl3kfVkyLvKJT9vtlG24L+wuWPNrc12fj9eD9dPjYAAZGrce7XVFyV5yqDOlyBi8cqLHyb53BIDO3WEgY4lACm3ldUdZZVHKd9LckIaS8qeneT9STZsfvb2JCe3AbTrA5Alx3zPPckPfpB861uNX+W4hrGWsjVW+RL/61/fOENkuZKNKwRGEth33+SkkwY+2Wuv5HNL/quPjgABAgQIECBAgAABAgQIEOh3gQ4FIJsmKe8lV0lyT5KyLVZ5l1j+ubxb3Kc5D39IslktuXvwvIwWgNSTLZvnFS8+f7i82/z1KHN7Y62x2kTpAgEBSBdMQg91oQQabx5Hf0d6vsYagJQ/pM5J8uqltLcoyZFLWUEyji4u9dKeC0CWHMlf/pJ8+9vJxRc3fv3jH2NjedKTGqtC3vSm5LnPtU3W2NT66KrjjkveW7480SwvfnHy/e/3EYChEiBAgAABAgQIECBAgAABAmMR6EQAUvpRT3ZIcmbzrOCRulbCj+m15LolPxxDAFJ2rxnvoelvrSUjfTF8LGyuabGAAKTFoBWvrpMByGLK3dNYilZOWX5MkluSXJ7kk83Dz9tF3vMByGCYBx9sbJN14YXJBRckN9wwNraNNkre/OZGGOIA9bGZVf6q889PdtxxYJhPfGJS0jaFAAECBAgQIECAAAECBAgQIDBIoFMBSGmynkxLckAJOpKsm+TBNAKPs8t7xFpy30iTIwCp/iMrAKn+HBvhxAQqFYAMJqjXG9tjnXtuUs6v/s1vRgcqW2Jtu22y556Nd98rrzz6Pa6oqMDVVyfPLjvRDSpl/7XVVqvogA2LAAECBAgQIECAAAECBAgQmIhAJwOQifTPPf0hIADpj3k2yvELVDYAWZLid79rBCFnnZVcc83oUI97XPKWtyT77JM8/emjX++Kigncf3+yatn2clD59a+HhyIVG7bhECBAgAABAgQIECBAgAABAuMTEICMz8vV7REQgLTHVa29L9A3AcjgqSoByFe+kpxxRjJ//uiT+JKXJOVM7LIq5BGPGP16V1REYL31khtvHBhMWU40eFusigzTMAgQIECAAAECBAgQIECAAIGJCwhAJm7nztYJCEBaZ6mmagn0ZQCyeAoXLUouuyw57bTknHOSssPRsspaayVve1vyrncl5RB1peICL33p0IPP58xJ3ve+ig/a8AgQIECAAAECBAgQIECAAIHxCAhAxqPl2nYJCEDaJaveXhfo6wBk8OTde29y3nnJKack3/3usqd1hRWSXXZJDjww2WKLXn8E9H+pAnvvnXzucwMfl38++WRgBAgQIECAAAECBAgQIECAAIF/CwhAPAzdICAA6YZZ0IduFBCAjDAr113XeM9dwpDbb1/2tG21VSMI2WmnpAQjSoUEjj02mTlzYEBlRcho6ViFhm8oBAgQIECAAAECBAgQIECAwOgCApDRjVzRfgEBSPuNtdCbAgKQZczbAw8k5diHk05KfvCDZU/wk5+cHHxwstdew8/O7s1HQ6//Nfk77zwAUc4EWbAADAECBAgQIECAAAECBAgQIEDg3wICEA9DNwgIQLphFvShGwUEIGOcld/9LvnEJxrnhdx339JvWnPN5IADGueEPPaxY6zcZd0p8OtfJ895ztC+lclfZZXu7K9eESBAgAABAgQIECBAgAABAh0XEIB0nFyDIwgIQDwWBEYWEICM88m4447GsRAlDLnxxqXf/MhHJvvumxx0UPLEJ46zEZd3h0A5GKZM5OBy9dXJRht1R//0ggABAgQIECBAgAABAgQIEJhyAQHIlE+BDiQRgHgMCAhAWvoMPPRQ49D0j30s+clPll71Ix6R7LNPcsghgpCWTkCnKnvSk5Kbbhpo7fzzk9e8plOta4cAAQIECBAgQIAAAQIECBDocgEBSJdPUJ90TwDSJxNtmOMWsAJk3GTDb7j88uSYY5KLL156ZSutlLz97cmsWckTntCCRlXRGYEXvzi57LKBtj7ykcZhLwoBAgQIECBAgAABAgQIECBAIIkAxGPQDQICkG6YBX3oRgEBSAtn5aqrkjlzkrPOShYtGrnilVdubI01c2ayzjotbFxV7REop9p/4QsDdZcU6zOfaU9baiVAgAABAgQIECBAgAABAgR6TkAA0nNTVskOC0AqOa0G1QIBAUgLEJes4rrrkrJQ4JRTkrJV1kilnKO9//6NIMRh6W2YhFZVWZb2HHroQG0vf3ny7W+3qnb1ECBAgAABAgQIECBAgAABAj0uIADp8QmsSPcFIBWZSMNouYAApOWkAxUuWJAcfXRjAcHSgpASfpT36/vtl5TVIUqXCZxzTrLLLgOdmjYtmTevyzqpOwQIECBAgAABAgQIECBAgMBUCQhApkpeu4MFBCCeBwIjCwhAOvBkzJ+fHHVUY0XIww+P3OB66yVHHJHssUey/PId6JQmxiZQ9jXbdNOBa2u15L77pFVj03MVAQIECBAgQIAAAQIECBCovIAApPJT3BMDFID0xDTp5BQICEA6iH7DDY0g5NRTk4ULR254o42SY49NXv3qDnZMU0sXuPvuZPXVh37+298mz3wmNQIECBAgQIAAAQIECBAgQICAQ9A9A10hIADpimnQiS4UEIBMwaT84Q/J+9+flN2Vlla23z756EeTZz1rCjqoyaEC5bT6W24Z+L0LLkh22IESAQIECBAgQIAAAQIECBAgQEAA4hnoCgEBSFdMg050oYAAZAon5Wc/axyC/v3vj9yJshXWO96RHH54ssYaU9jRfm966zxxj5wAACAASURBVK2T//u/AYXjj08OOqjfVYyfAAECBAgQIECAAAECBAgQSAQgnoKuEBCAdMU06EQXCghApnhS6vXkkksaQcivfz1yZ8pB6SUEKWHIiitOcYf7sfm3vrWxb9niUibixBP7UcKYCRAgQIAAAQIECBAgQIAAgSUEnAHikegGAQFIN8yCPnSjgACkS2Zl0aLkjDOSQw5Jbr555E6VYyfKe/eXvKRLOt0v3SgHtxx22MBoX/nK5NJL+2X0xkmAAAECBAgQIECAAAECBAgsQ0AA4vHoBgEBSDfMgj50o4AApMtm5Z57ktmzk+OOSx54YOTO7b574/MnPKHLOl/V7nz1q8luuw2MboMNkj/9qaqjNS4CBAgQIECAAAECBAgQIEBgHAICkHFgubRtAgKQttGquMcFBCBdOoHz5ze2xSrv3kcqq6+eHHFE8q53JSus0KWDqEq3fvGL5HnPGxjNcssl99+fPOIRVRmhcRAgQIAAAQIECBAgQIAAAQITFBCATBDObS0VEIC0lFNlFRIQgHT5ZJaztw84ICnv4Ecqz3lOY1usF7ygywfSy927667kMY8ZOoJrr02e/vReHpW+EyBAgAABAgQIECBAgAABAi0QEIC0AFEVkxYQgEyaUAUVFRCA9MDELlyYnHxycuihyZ13jtzhci73Mcckj350DwyoF7u49trJbbcN9Pyii5Lp03txJPpMgAABAgQIECBAgAABAgQItFBAANJCTFVNWEAAMmE6N1ZcQADSQxN8663J+96XnHbayJ1+4hMbq0Fe85oeGlSvdLUssfnxjwd6e8IJjaU5CgECBAgQIECAAAECBAgQINDXAgKQvp7+rhm8AKRrpkJHukxAANJlEzKW7pRtsd75zuQ3vxn56p13Tj7xCYekj8VyzNe8+c3J6acPXL7ffg1khQABAgQIECBAgAABAgQIEOhrAQFIX09/1wxeANI1U6EjXSYgAOmyCRlrdx56qPH+/QMfSO67b/hdZSusj3wkedvbkpo/AcfKuvTrjjwy+eAHBz7fbrvkm9+cfL1qIECAAAECBAgQIECAAAECBHpaQADS09NXmc57/VeZqTSQFgsIQFoM2unqbrghKed/XHLJyC2/4hXJ5z6XTJvW6Z5VrL0vfznZffeBQW24YXLddRUbpOEQIECAAAECBAgQIECAAAEC4xUQgIxXzPXtEBCAtENVnVUQEIBUYBbr9eSLX0wOPDD529+GD+hRj0qOPz7Zay+rQSY83VdckWyxxcDtyy+f3H9/suKKE67SjQQIECBAgAABAgQIECBAgEDvCwhAen8OqzACAUgVZtEY2iEgAGmH6hTVedttyXvek5x55sgd2H775LOfTdZdd4o62MvN/v3vyeMeN3QEf/xj8pSn9PKo9J0AAQIECBAgQIAAAQIECBCYpIAAZJKAbm+JgACkJYwqqaCAAKSCk1qOpth77+TGG4cPrpwN8vGPJ3vuaTXIuKd+zTWHLrH5xjeSV71q3NW4gQABAgQIECBAgAABAgQIEKiOgACkOnPZyyMRgPTy7Ol7OwUEIO3UncK677yzsRrklFNG7sRrXtM4G6S801fGKLDllslPfzpw8f/+b/Lud4/xZpcRIECAAAECBAgQIECAAAECVRQQgFRxVntvTAKQ3pszPe6MgACkM85T1spFFyX77JPcfPPwLqyzTnLqqcl2201Z93qr4Te9qXHYyuKy//6N5TQKAQIECBAgQIAAAQIECBAg0LcCApC+nfquGrgApKumQ2e6SEAA0kWT0a6u3HFHcsABSz8bpLzHnz07WWWVdvWgIvV++MPJ4YcPDKZsf1W2wVIIECBAgAABAgQIECBAgACBvhUQgPTt1HfVwAUgXTUdOtNFAgKQLpqMdnfl/PMbZ4PcfvvwljbaKPnSl5KNN253L3q4/gL0xjcODKAcgF4OQlcIECBAgAABAgQIECBAgACBvhUQgPTt1HfVwAUgXTUdOtNFAgKQLpqMTnTlr39N/vu/k4svHt7aIx7RWAly4IEOSB9xLq64Itlii4GPll8+uf/+ZMUVOzF12iBAgAABAgQIECBAgAABAgS6UEAA0oWT0oddEoD04aQb8pgEBCBjYqrWRfV6cuKJycEHJ//85/CxzZjROBtkjTWqNe5Jj6acLP/Yxw6t5ve/T572tElXrQICBAgQIECAAAECBAgQIECgNwUEIL05b1XrtQCkajNqPK0SEIC0SrIH6/ntbxs7Ol111fDOr7tuY0usrbfuwYG1s8trr53cdttACxdemJTESCFAgAABAgQIECBAgAABAgT6UkAA0pfT3nWDFoB03ZToUJcICEC6ZCKmqhsPPJB84APJccclZWXI4LLccskRRySzZiVltyclyQtfmPzoRwMUxx+fHHQQGgIECBAgQIAAAQIECBAgQKBPBQQgfTrxXTZsAUiXTYjudI2AAKRrpmJqO/KtbyVvelNy663D+/GKVyRnnJGss87U9rErWn/rWxv7gy0u++6bfPrTXdE1nSBAgAABAgQIECBAgAABAgQ6LyAA6by5FocLCEA8FQRGFhCAeDL+LVAOSC8hyHe+Mxzl8Y9PvvrV5MUv7nOwo49O3v/+AYSXvzz59rf7HMXwCRAgQIAAAQIECBAgQIBA/woIQPp37rtp5AKQbpoNfekmAQFIN81GF/Rl4cJk9uzkgx9MFi0a2qGyDdYxxzQOT6/165+qZ5+d7LrrAMyTn5zMn98FM6cLBAgQIECAAAECBAgQIECAwFQICECmQl2bSwr066s6TwKB0QQEIKMJ9ennl1+evOENyV/+Mhxgxx2TU05JHv3oPsT51a+STTYZOvD77ktWWaUPMQyZAAECBAgQIECAAAECBAgQEIB4BrpBQADSDbOgD90oIADpxlnpkj797W/Jnnsm3/jG8A495SnJ176WbLxxl3S2U924997kkY8c2tpvfpP85392qgfaIUCAAAECBAgQIECAAAECBLpIQADSRZPRx10RgPTx5Bv6MgUEIB6QZQqUbbCOOir50IeSen3opWXRw0knJXvs0WeI6647dGlMSYJ22qnPEAyXAAECBAgQIECAAAECBAgQKAICEM9BNwgIQLphFvShGwUEIN04K13Yp0svTXbfPSmrQpYs+++fHHdcsuKKXdjxdnTppS9Nvv/9gZrLoSkzZ7ajJXUSIECAAAECBAgQIECAAAECXS4gAOnyCeqT7glA+mSiDXPcAgKQcZP17w0LFiS77JL87GfDDUom8NWvJmut1Qc+++yTfPazAwPda6/kc5/rg4EbIgECBAgQIECAAAECBAgQILCkgADEM9ENAgKQbpgFfehGAQFIN85KF/fpgQeS97wnOfHE4Z2cNi05//zhZ4R38XAm1rWy3OW97x24d+utk8sum1hd7iJAgAABAgQIECBAgAABAgR6WkAA0tPTV5nOC0AqM5UG0mIBAUiLQfulutNPT8pCiBKIDC7lXJAvfCHZbbcKS3z968lrXzswwHXWSW6+ucIDNjQCBAgQIECAAAECBAgQIEBgaQICEM9GNwgIQLphFvShGwUEIN04Kz3Sp5//PNlxx+TGG4d3+H3vS44+Oll++R4ZzHi6+dvfJhttNPSOu+5KVl99PLW4lgABAgQIECBAgAABAgQIEKiAgACkApNYgSEIQCowiYbQFgEBSFtY+6fSW25Jdt45+eEPh495+vTky19OHvWoinmUZS9lqUu9PjCwK69Mnvvcig3UcAgQIECAAAECBAgQIECAAIHRBAQgown5vBMCApBOKGujFwUEIL04a13W5wcfTPbfPznppOEde/azkwsvTMr5IJUqG2yQzJs3MKSvfCV5/esrNUSDIUCAAAECBAgQIECAAAECBEYXEICMbuSK9gsIQNpvrIXeFBCA9Oa8dWWvSwDy7ncnDz00tHtrr904HH2rrbqy2xPr1HbbJZdeOnDvEUckH/jAxOpyFwECBAgQIECAAAECBAgQINCzAgKQnp26SnVcAFKp6TSYFgoIQFqIqark8suTnXZKbr99qMZKKzUOR99994oo7bdf8qlPDQxmjz2ScjK8QoAAAQIECEy9QFmeWvbp/OtfB36VH06WWy4pP5Q84hGN/138q3xb4ylPSZ7whMY1CgECBAgQIEBgHAICkHFgubRtAgKQttGquMcFBCA9PoHd2P0//SmZMSP53e+G964skjj88Aq8W/j4x5MDDxwY4POfn/zkJ904HfpEgAABAgSqLXDTTY2/gxf/uuaa5I47JjbmcsbXhhs2fpVA5JnPTLbZpvH/a/6TcmKo7iJAgAABAtUXEIBUf457YYR+Wu2FWdLHqRAQgEyFeh+0edddya67Dt0lavGwy1EZp56arLxyD0NcfHHy6lcPDOBxj0v+9rceHpCuEyBAgACBHhEoqzq+9rXkssuSH/84+fOf29/xsjLkJS9JXvzixq+nP10g0n51LRAgQIAAgZ4REID0zFRVuqMCkEpPr8FNQkAAMgk8ty5b4OGHk4MOSj75yeHXbb1141yQkhv0ZLnuuuSpTx3a9bK1xhpr9ORwdJoAAQIECHS1QPlmxbnnJl/+cvKd7ySLFk1td9dZJ3nta5M3vCF50YsqsLR1ajm1ToAAAQIEel1AANLrM1iN/gtAqjGPRtF6AQFI603VuIRAOSrjgAOShQuHflC+PFkWUmywQQ+SlXSnbJNR/ndxKd9C3XLLHhyMLhMgQIAAgS4UKH/HXnBB8sUvJnPnJg88MP5OrrhiUsKK8muttRqrNko9i3+Vs0Luvz9ZsKDxvxMp666blOWt5aCzTTe1MmQihu4hQIAAAQI9LiAA6fEJrEj3BSAVmUjDaLmAAKTlpCocSeCSS5Jddknuvnvop+XM0fJOY7PyJPZaKQnOH/4w0OtyCHo5DF0hQIAAAQIEJi5QQonTTkuOOSa54Yax1bP66kk5j2urrZIttmh8u6KEHo997NgCiXo9ufnmpKzwXPzr979PfvSjxiHqYy1Pe1ry1rcm++zTw8tcxzpY1xEgQIAAAQKLBQQgnoVuEBCAdMMs6EM3CghAunFWKtqnq65Kpk9Pylmlg8uqqyZf+Uqyww49NvBy0ntJbxaXww5LjjyyxwahuwQIECBAoEsEygqMz38+mTMnufHGZXdqtdWS17wmednLGqHHM57Rnm2oSjDyxz8mP/hB8v3vN/73L38ZHaz8cPOWtzSWwJZQRCFAgAABAgQqLSAAqfT09szgBCA9M1U62mEBAUiHwfu9uXJOaQlBfvOboRLLLdc4K+Qd7+ghofe8J/nYxwY6XLa/KEmOQoAAAQIECIxd4N57k898JjnuuGWvtijbWb3qVY2tpsq3JkrI0OmyOBA555zGeSRXX73sHpQtt8oXJsrPDOXw9PLPCgECBAgQIFA5AQFI5aa0JwfkJ82enDad7oCAAKQDyJoYKlDOMd1558YZpkuWD3wg+fCHe+T9wKc/nbzznQNDeO5zkyuvNN0ECBAgQIDAWAXKSsryd2k5g2NpZfPNG1tK7bRT920rVb7RUYKQ8mvevGWP+nnPS446Ktl22x75QWesk+g6AgQIECBAQADiGegGAQFIN8yCPnSjgACkG2elD/pUtvcu7zLKFt9LlvL7J56YLL98l0N8+9vJK1850MlHPjL5xz+81OjyadM9AgQIEOgCgbIfZtkeqqykWFrZeuukfDPiFa/o/r9by8qQH/+4sZz1rLOShQuXPq6XvKRxvsmWW3bBROgCAQIECBAg0AoBAUgrFNUxWQEByGQF+/f+aUn2TzI9yXpJHkhyfZKzknwqyX0toPnPJPsmeXGS0t7KSe5Kck2SC5J8NskSR0e3oNVGFQKQllGqaLwC5V3B4YcnRxwx/M4dd0y+9KVk5fJvQ7eW8m3VaeVf2UGlHKBaDl1VCBAgQIAAgeECixY1trs65JDGlwZGKuXLBeVcrW226U3Bst9nCUJOOikpy16XVsoZJmVFyEYb9eY49ZoAAQIECBD4t4AAxMPQDQICkG6Yhd7rQzmS+cwkqy+l639oBiPXTWJoM5MclWRZ33X/c5L/SnLVJNpZ2q0CkDagqnJ8AuX9QNn9orwTGVzKVtlf/3ry6EePr76OXV06XA5h/ec/B5osh6P26gubjsFpiAABAgT6UqBsF1WWef7kJyMPv2orI+65Jzn11OSEE5Lry/enRijlTJA990yOPjp54hP78rEwaAIECBAgUAUBAUgVZrH3xyAA6f057PQINk3ywySrJLknyTFJvtf8592S7N3sUAlBSogwkRUab0jypWY9DzZXlHw7ye1JNkxSDhd4UfPzW5I8I8mdLYYQgLQYVHUTEzj33OQNb0jK1liDy3Oek1x8cfKEJ0ys3rbf9exnDz0A9XOfS/baq+3NaoAAAQIECPSMQFnyefLJyf77D/+LvgxijTWSj360EQRU8ZDwhx9Ozjgj+dCHkrI6ZKTyqEclRx6ZvOtdyQor9MzU6igBAgQIECDQEBCAeBK6QUAA0g2z0Ft9uCzJ1kkeTlLW3/94ie6/N8mxzd/7cJLDJzC8q5MsXvM+I8ncEer4WpKdmr9f2jxuAu0s6xYBSItBVTdxge9/Pym7QSy5I8YGGyTf+layYYkFu62UA1nPO2+gVzNnJrNnd1sv9YcAAQIECEyNwH33Je94R3L66SO3/+Y3J8cdl6y55tT0r5OtlhWjn/50Y7XH7eX7TiOUTTZpXON8kE7OjLYIECBAgMCkBQQgkyZUQQsEBCAtQOyjKrZI8tPmeE9qns+x5PCXS1ICjGc2V2WsneShcRiVbbUWbwr8iyTPW8q9Gyf5VfOzc5PsPI42xnKpAGQsSq7pmMBVVyXbb5/cUtY8DSplBUgJQbpum+wSeBy7OAtNUg4vKctZFAIECBAg0O8Cf/xj8rrXJb/+9XCJpz61cUbGS1/af0rlmx7HH99Y9VK2yVqylFUwe+/dOCj9cY/rPx8jJkCAAAECPSggAOnBSatglwUgFZzUNg7p6CSHNOvfclAYsmSTs5pbY5Xf3y7JpePoU/ma223N689JsstS7l2tuQVX+fiiJOVcklYWAUgrNdXVEoE//SnZdtvh22WXdwDf/Gay+eYtaaY1lXz+88nb3jZQ13/+Z1L2OFcIECBAgEA/C5x/flJWd4x00PlBBzVWQay8cj8LJbfempQvUpRzQkYqZVXMxz/e2CO0iluD9ffsGz0BAgQIVExAAFKxCe3R4QhAenTipqjbi7e/ujfJY5rbYI3Ula2S/Kj5wRFJPjTO/v4tSfla11hXgHw0ycHjbGO0ywUgown5fEoEygqQshKkrAgZXMoW2RdemJQD0ruiXHbZ0M6Ulzn33pssVxaJKQQIECBAoM8EFi5MDjkk+chHhg+8/CX+hS80VoUoAwKXX568851DzxQb7FO8yrZY/bBNmOeCAAECBAj0qIAApEcnrmLdFoBUbELbPJyyMqOs0ChbT22yjLYem+SO5udnJ9l1nP06KsmhzXteleSbI9xf6i3/lVjOInl2kmvH2cZolwtARhPy+ZQJ3HlnMn168qPFMWOzJyVj+NrXkle/esq6NtDwX/86/IT2+fOTJz+5CzqnCwQIECBAoIMC5YyLN75x5K0gywrJ8pf3057WwQ71UFMPPdRY7XH44Y0vUixZHv/45LOfTXZo9WLwHjLSVQIECBAg0MUCApAunpw+6poApI8me5JDLWvx72/WUQ4lL4eTL6uUjXvLNlU/SVJWhIynlPvKIedl+6wHknwyyXeSlFMR/yPJO5KU77kvTPKuJOU8kvGWdUe5oZwx8q/D13/2s59l867aW2i8Q3V9FQXKO4ByrEY5/2NwWWGF5Mwzk9e/fopHXa8nq68+dA/vb387efnLp7hjmidAgAABAh0UuPvu5LWvTb773eGNllCknPexWvnRV1mmwJ//nBx44NLPE3vrW5MTTmj87KEQIECAAAECXSMgAOmaqejrjghA+nr6xzX4tZLc2rzjq0l2G+XuclRzOQC9HIheVmiMt6yQZM/mSpANR7i5nKY8O8kV4624eX19rPcJQMYq5bpOCzzwQGP76/POG9py2Q677KTxlrd0ukdLtPfc5ya//OXAb554YvKOkl8qBAgQIECgDwRuu62xLPPnPx862BVXbKxq2HdfZ1iM9zE4++zGzxJ/KzvmLlHKKtPTTkte8pLx1up6AgQIECBAoE0CApA2wap2XAICkHFx9fXF6yVZ0BQ4oxlOLAukXFvuuT7JUyYg94Ik/5Ok/BfMSM/p3Um+lGRmkrsmUL8AZAJobuk+gYcfTv77v5Mzyr+VS5TypdJ99pnCPu+2W/LVkpc2Sznc9fjjp7BDmiZAgAABAh0SWLAg2Xbb5Pe/H9pgOe/j619PXvrSDnWkgs2UbTb33ju56KLhgytnjX3oQ8n7358sv3wFB29IBAgQIECgtwQEIL01X1XtrQCkqjPb+nF1cgVIOdvjzCQrJfl18xD1cgB7CT1KqFI29/lAklWS/C7JK5LcNM4h2wJrnGAu716BRYuS/fdPPvWp4X385CeTd5WN4qaifOADyf+UHLNZysElI72smIq+aZMAAQIECLRL4He/a4QfN944tIW11kq++c2krJBUJidQtto85ZTkgAOGbre5uNay5eYXv5iUM0IUAgQIECBAYMoEBCBTRq/hQQICEI/DWAU6dQZI+a+UsmqkbIZ8TZLnJxnhxMOUgwTK6QflGS7bYe081oGM8TqHoI8RymXdIVDeAxxySDJnzvD+lEUXZfFFx8vppydvfvNAs099avKHP3S8GxokQIAAAQIdE7jyykb4cccdQ5ucNi259FKHnbd6IubNS8r5H9///vCa11kn+dKXrLZptbn6CBAgQIDAOAQEIOPAcmnbBAQgbaOtZMXlEPI1kvwqySbLGOFjkyz+r76zk+w6Do0DkpzQvP6NzW2ulnZ7CUDK6o9FSdZM8vdxtDPapQKQ0YR83nUCJQQpuz4ceeTwrs2encwsG8Z1svzkJ8lWWw20WE5ov+++pOx9rhAgQIAAgaoJ/Pa3ydZbDw8/nvWsRvjxpCdVbcTdMZ6yFPbYY5PDDksWLhzaJ1tidccc6QUBAgQI9K2AAKRvp76rBi4A6arp6PrOlG2otm6uyHhMkoeX0uPyxvNHzc+OaG5hNdbBfSbJ25sXPzPJtcu4sRyCvviV7pZJfjrWRsZwnQBkDEgu6U6BEoB88IPD+3bEEUnZlapj5e9/Tx73uKHNXXtt8vSnd6wLGiJAgAABAh0RuOGG5EUvSm5aYlfWLbdM5s4d/vdhRzrVZ41cfnnyhjckf/nL8IG/4hXJV76SrFG+y6UQIECAAAECnRIQgHRKWjvLEhCAeD7GI3B0kkOaNywrcJiV5JjmddsluXQcjXwyyeITC56d5Opl3PvRJO9pfl4CiyvH0c5olwpARhPyeVcLlK2wZpV/E5coJRj58Ic72PW1105uu22gwQsuSHbYoYMd0BQBAgQIEGizwM03N1Z+XF92cR1UyjkU5cDz1crOrkpHBMrPHHvu2ThrZcmywQbJ+ecnG2/cka5ohAABAgQIEEgEIJ6CbhAQgHTDLPROH7YYtMripCT7jtD15ZqhRVm9cWeStZM8NI4h/r8kxzWvf0eSsiJkaeWKJCWoqCcph7T/bRztjHapAGQ0IZ93vcDHPpa8Z3FEOKi3JQAZaYVIWwZUXgj93/8NVP2RjyQHH9yWplRKgAABAgQ6LlDO+njJS5Lf/GZo02ULyG99S/jR8Qkpm+MuY0usVVdNTjsted3rpqJn2iRAgAABAn0nIADpuynvygELQLpyWrq6U4u3wSrbX22T5MdL9Pa9SY5t/l75nvnhS3z+liSnLOPzZyT5bfNw87J+vRyCPsI69uyTpIQwpZQ+vKDFagKQFoOqbmoEPvWpZL/9hrddtskqW2W3vey1V/KFLww087a3JZ/9bNub1QABAgQIEGi7wD33JK98ZVLOvBpcygqDcij3Y8uxeMqUCZQtsV7/+qSs0FmyvP/9SdkbtJwRohAgQIAAAQJtExCAtI1WxeMQEICMA8ul/xLYNMkPk6yS5J4kZVus7zX/ebfkX8FEKX9ors64ewm30QKQcvnnk/x3876yd045FP3yJKWu9ZKUdnZvfl5OOiwHoX+/xfMjAGkxqOqmTuCkk5J9R1ivddRRyaGHtrlf5VDSwaevlxUhl5UcVSFAgAABAj0s8MADjS0dyyqPweUpT0nKi/d11unhwVWo6+VMlp13Hh5SlSHOmJGceWby6EdXaMCGQoAAAQIEuktAANJd89GvvRGA9OvMT27cZQP/M5OsvpRqSvgxPcl1I3w+lgBkpSSnJXn9KN28txm4fGlywxnxbgFIG1BVOXUCn/lM8o6yqdwSZfbsoflEy3tY9j5/7WsHqn3845O//rXlzaiQAAECBAh0TKBeT3bbLTnrrKFNPulJjW0f11+/Y13R0BgESlj1zncOXZG6+LZnPCO58MKkBFcKAQIECBAg0HIBAUjLSVU4AQEByATQ3PIvgWlJDmgGHesmebAZeJydpBxkft9SnMYSgCy+9aVJyvXlwPUnJSnByD+S/D7Jt5OcnOTGNs2HAKRNsKqdOoGlbYdVFmm8t2xe145y7bXJM8uRQIPKnXf6tmU7rNVJgAABAp0RKPtILnmY1hprNFZ+LPl3Xmd6pJXRBEpoVX4QOvDAZGFZQD6orLlm47D6F7R6R93ROuVzAgQIECBQfQEBSPXnuBdGKADphVnSx6kQEIBMhbo22y7wiU8k++8/vJmPfnTkA9Mn3aEHH0zKgaODXzb89KfJFltMumoVECBAgACBjgucf36y445Dm33Uo5LvfjfZrPz4qHS1QDmbZZddkttvH9rNlVZqHI5ezgxRCBAgQIAAgZYJdDIAqTe+rF3eeJRdacoW+g8kuT5JWbb7qdrSv6w96njryQpJnp2koEofJQAAIABJREFUvMzYvPm/z0qyfPPmDWrJvFErcsGUCAhApoRdoz0gIADpgUnSxYkJfPzjjS9ALllOPHHkbbIm1sqgu5761OS6QTvinX56sscek65WBQQIECBAoKMCV1+dbLVVUg4/X1zKIdrf+Eay3XYd7YrGJiEwf37ymtckv/rV8EqOPjqZNSup+c/kSQi7lQABAgQI/FugUwFIPRnTdv21kbfrH3XG6smHkhy+jAsFIKMqTt0FfrKbOnstd7eAAKS750fvJinwsY+NvOLj1FOTN795kpUveXs5ZHTu3IHfPeywpGwfohAgQIAAgV4R+Nvfks03T264YWiP27aEsldgerSfd9/dWO1x8cXDB7DXXsmnP52suGKPDk63CRAgQIBA9wh0IgCpJ5sm+WGSVZKUb6ock+R7zX/eLcneTZFyZvFmteTu8QrVG+FHCUFK+WeSq5KslWTD5u8JQMaL2sHrBSAdxNZUTwkIQHpqunR2IgLHHTf87I/yRdYvfanFO0D8v/+XHH/8QBfL1hNLHhw7kQG4hwABAgQIdELg4YcbKzzKNleDy557JuWbA1YLdGIWWt9GmdeyL2gJO5Ysr3hFcs45zixrvboaCRAgQKDPBDoUgFyWZOskDyfZppb8eDBzPSmnnh7b/L0P15a9kmPEGaonZbnv+kl+luQ3teThenJqksVfIRWAdPGzLQDp4snRtSkVEIBMKb/GOyVwxBHJhxZ/h6HZ6AorJF/7WvJf/9WiXpx0UrLvvgOVbbzxyNtOtKg51RAgQIAAgZYKHHBA8r//O7TK5z8/KedJrLxyS5tSWYcFyuHoZVnswQcn5f8PLs95TmOFyBOe0OFOaY4AAQIECFRHoN0BSL1xJsdPm2In1ZJBLx8av1tPlktydZJnJrkzydq15KHJKgtAJivYufsFIJ2z1lJvCQhAemu+9HaCAuW/9ctW18cu/i5Es55HPCK58MJk220nWPHg28oLope+dOB3VlmlsX96WW6iECBAgACBbhb4wheSsiXS4FJeiP/858kTn9jNPde38Qice27yxjcm/yw7WgwqG2yQXHJJUs4zUwgQIECAAIFxC3QgADk6ySHNjm1ZGwhDhvS1vPpobo1Vfn+7WnLpuAezxA0CkMkKdu5+AUjnrLXUWwICkN6aL72dhEAJQcoOEJ/85NBKSk7xzW8m22wzicrLrTffPPwlUTmA9MlPnmTFbidAgAABAm0UuOqqpKz0ePDBgUZWWim57LJki/JlQ6VSAj/9aWP56623Dh3WWms1VoI873mVGq7BECBAgACBTgh0IABZvP3VvUkeU7amGmlc9WSrJD9qfnZEbeA8jwkzCEAmTNfxGwUgHSfXYI8ICEB6ZKJ0szUCixYle++dlC+6Di6PfGTyve8lm5V/IyZaSsLy6Ecn5cDRxeXSS5NXvnKiNbqPAAECBAi0V+DeexsvvH//+6HtnH56ssce7W1b7VMncP31jfNeyv8u+QPReecl5WwQhQABAgQIEBizQAcCkNuSrJnkV7Vkk6V1rJ48Nskdzc/PriW7jnkQS7lQADJZwc7dLwDpnLWWektAANJb86W3LRBYuLDxTufLXx5a2ZprJpdfnjzjGZNopCQoV145UMEnPpHst98kKnQrAQIECBBoo8Db3pZ8/vNDGzjooOT449vYqKq7QuCWW5JXvSr55S+HdmfFFZMzzkhe//qu6KZOECBAgACBXhBYIgCZnuTXo/T7xrGOq56Uw9jub14/t5bMWNa99eSeJKsl+UmtsSJkUkUAMim+jt4sAOkot8Z6SEAA0kOTpautE3jooWTXXZPzzx9a57rrJj/84SR2rSr7an/pSwOVlvCjhCAKAQIECBDoNoGzzhr+krsE+eUvwnJIllJ9gX/8I9lpp+Q73xk61lqt8fPLu95VfQMjJECAAAECLRBYIgAZS41jflddT9ZKsnjvyq/Wkt2W1UA9uaUcgF4ORK8lzx5LZ0ap79Qkb25es0EtmTfZOt3fHoExP1TtaV6tBLpWQADStVOjY+0WeOCBZPr04f/N/7SnNVaCrF1+XBhvOeKI5EMfGrirnK5eDhVVCBAgQIBANwnMm5dsskly110DvSr7QZbVAE95Sjf1VF/aLVB+INpzz6QEYkuWo49ODll83mq7O6J+AgQIECDQuwJtDkDWS7KgqXNGLdlzWVL1xrXlnutryaR/sLMCpHeeSwFI78yVnnZWQADSWW+tdZnAPfc0trku54EOLptu2jgTpBzpMa7y1a8muw36Msa0aUl5yaQQIECAAIFuEXj44eTFL05+tPh8zGbHnPvRLTPU+X6UQ9IOOCD55CeHtz1rVlKCkLIqRCFAgAABAgRGFGjzFlhWgHjuxiTgp7UxMbmoDwUEIH046YY8VOBvf2u8B7rmmqG/v802yTe/mayyyjjErroqKenJ4lJeFpQDZsdVyTjacykBAgQIEBivwAc/mBx55NC7yhaOZ5453ppcXyWBer0RdBx22PBRvfOdjS2xlluuSiM2FgIECBAg0DKBdh6C7gyQlk1T5SsSgFR+ig1wggICkAnCua1aAjfdlLzwhcMXa8yYkZx7blLOAx1TKWFH2UJkcPnVr5KNNx7T7S4iQIAAAQJtFfjBD5KXvSwp3/hfXP7jPxpbX62+elubVnmPCJRVIO9+9/DO7rFH8oUvJCus0CMD0U0CBAgQINA5gXYGIGUU9eT2JGsk+VUt2WRpI6snj01yR/Pzs2vJrpNVsAXWZAU7d78ApHPWWuotAQFIb82X3rZR4Lrrkhe9KLmlHBc2qLzlLY3/3h/zzg/rrZfceONADWVP7V12aWPPVU2AAAECBMYg8Pe/NwL5wX9HlZfZ5dDzLbYYQwUu6RuBU09N9tpraFBWBr/jjsmXv5ystFLfUBgoAQIECBAYi0AHApDLkmyd5N4kj6klD4/Ur3qyVZLF+5weUUsGHVI6lpEMv0YAMjG3qbhLADIV6trsBQEBSC/Mkj52TODXv25sh3XnnUObPPTQ5KijxtiNcqjId74zcPH//E/y/veP8WaXESBAgACBNgmURP+004ZWfswxSTnjQSGwpMA55yS775489NDQT7bbLjnvPNt7emIIECBAgMAggQ4EIEcnOaTZ5Ja1ZImTTBuf1JPyg90xzeu2qyWXTnaiBCCTFezc/QKQzllrqbcEBCC9NV962wGBciZsyTDuv39oY2Xr6/32G0MH3vWu5MQTBy4sW0aUg2UVAgQIECAwVQKXXJJsv/3Q1l/+8uTSS53rMFVz0gvtXnxxstNOyT//ObS3ZRu1Cy5IVlutF0ahjwQIECBAoO0CHQhAynLdxaHHSbVk3yUHVU/KYV1XJ3lmkvK1zrVryRLfZBg/hQBk/GZTdYcAZKrktdvtAgKQbp8h/ZsSgYsuSl772mThwoHmyxZYZTer171ulC59/OPJgQcOXFS2FfnpiF/OmJKxaZQAgf/P3lmAyVFlbfjtGCQhgksCLO5OIIElJEDwIIsH18V10V2cRReHH4fF3RcIwT0EdwseIHggJBAi/T/fVFVapmemu6eluvs7z1PP9HRX3Xvue6ul6rvnHBMwgQYjMH48LL00fPFFauCq9/HOO9C3b4PB8HALJqC6MUOHgs6jdFtjDXjgAejRo+AmfYAJmIAJmIAJ1BuBcgsg4pWEKA2W0l8NTMAL6RyTcDhwZvjciQk4Iev1XYBrWnq9pTmxAFI7Z6sFkNqZK3taWQIWQCrL273VEIGrroI99sh0uEsX0CLaQYNaGcjw4bDBBqkdevUC5V3Pu4hIDUGyqyZgAiZgAvEnoILWKmydbpddBnvtFX/f7WE8CLz0Eqy7bvMcoQMGgKJE9FvHZgImYAImYAINTKBCAsgKwHNAV+A3QGmxngj/3xaIftx9CKycgIzVC0loUwBJwkxA9rJP3RlZPZxeiSwqyB7Z6wl4vYGnPlZDtwASq+mwMzEiYAEkRpNhV+JHQOU7jj020y8tmn3mmaCObE779FNYcMHMl1RZfY454jdAe2QCJmACJlDfBJ59FrRSP90GDw5qVVmYr++5L/XoXnstyBH600+ZLSvSVYs/Zp651D26PRMwARMwAROoGQKVEEAEIwlDgRuAni3AkfixUQJGZ7+epwDyF+DTAsA3izQp4FjvWmICFkBKDNTN1Q0BCyB1M5UeSDkIJJOw775w6aWZrc8zD6hWyPzz5+hVebOUE3vSpNSLTz/d/AZUORx2myZgAiZgAiYQEVDdhuWWgw91HRxa167w1luw0ELmZAKFE3jzzUAE+f77zGNXXDGoJzPrrIW36SNMwARMwARMoA4IVEoAEaok6E7EQRI6AOUz/ZNA8LgduCgBE3MhtQBSBydaG0OwAFL/c+wRFkfAAkhx3HxUAxGQnqG6H/fckznoxRcHLazNea2vXOvKrR7ZFVc0z6fVQAw9VBMwARMwgSoQOPpoOP30zI7PPhsOPbQKzrjLuiHw7rugIuiKbk03hcYqsmi22epmqB6ICZiACZiACeRLoJICSL4+eb/GI2ABpPHm3CPOj4AFkPw4ea8GJ/D770Hqawke6abU148+Ct26ZQHaYgu4667Uk//4B5x1VoNT9PBNwARMwAQqRuDVV0GpiaTiR6b/Fb7YsWPF3HBHdUrggw8CEeTrrzMHqIgjiSCOBKnTifewTMAETMAEWiJgAcTnRhwIWACJwyzYhzgSsAASx1mxT7EkoDrmSqOeHtghR4cODbSOTp3S3D7mGDjttNQTm2wC994by3HZKRMwARMwgTojMHlyIH68nlaPsnNnkCiiCEWbCZSCwOjRgQjy5ZeZra2wQiCCuCZIKSi7DRMwARMwgRohYAGkRiaqzt20AFLnE+zhFU3AAkjR6HxgIxLQNf5qq8GYMZmj32MPuPzytHqy114Lu+yS2mmxxeD99xsRmcdsAiZgAiZQaQJnnAFHHZXZ6wknwPHHV9oT91fvBD79FAYNgi++yBzpSisFIbK9e9c7AY/PBEzABEzABJoIWADxiRAHAhZA4jAL9iGOBCyAxHFW7FOsCSgC5K9/hXHjMt087jg48cTwuRdeCJSSyBQeMnEiaAWuzQRMwARMwATKReCrr0Ci+4QJqR4U9fHKK9ClS7l6dbuNTOCTT2DNNZuvDunXDx55BHr1amQ6HrsJmIAJmECDELAA0iATHfNhWgCJ+QTZvaoRsABSNfTuuJYJqBbIkCHwxx+Zo7jkEth7b+Cnn5rnv1a+7EUXreVh23cTMAETMIG4Exg2DG6+OeVlIgEjRwYpsWwmUC4CSoelSBAJcOnWvz88/DD07Fmunt2uCZiACZiACcSCgAWQWExDwzthAaThTwEDaIGABRCfGiZQJIF77gHVOp82LdVAhw5w552w2WbA7LPDDz+kXrz/fth44yJ782EmYAImYAIm0AaBp54KbkKn2557BjkabSZQbgIffRREgnzzTWZPiogdPhx69Ci3B27fBEzABEzABKpGwAJI1dC74zQCFkB8OphAbgIWQHxmmEA7CFx6KeyzT2YDM84Ijz8OAw7/Kzz3XOrF//wHDjusHb35UBMwARMwARNogcCUKbDiivDWW6kdVH/hww8DQd5mApUgoGhXiXBjx2b2ptyhDz0EM81UCS/chwmYgAmYgAlUnIAFkIojd4c5CFgA8WlhArkJWADxmWEC7SSgmrInnZTZyKyzwseDdqfXnVenXvAq3HaS9uEmYAImYAItErjoIjjggMyXL7wQ9t/f0EygsgTeey8QQb77LrPfgQPhwQehe/fK+uPeTMAETMAETKACBCyAVACyu2iTgAWQNhF5hwYlYAGkQSfewy4dgWQSpG1cdVVmm6fPcgZH/nRU6kld+Cs9ic0ETMAETMAESkng+++DGlPjxqVaXWYZePVV6NSplD25LRPIj8A778DgwaBzM9303P/+B9265deO9zIBEzABEzCBGiFgAaRGJqrO3bQAUucT7OEVTcACSNHofKAJpAhMngybbhpkd4hsU+7hHjZPPTHnnM1TQhiiCZiACZiACbSXwF57wRVXZLby5JNBPQabCVSLgNKxrbVWZj00+bLOOnDffdC1a7U8c78mYAImYAImUHICFkBKjtQNFkHAAkgR0HxIQxCwANIQ0+xBVoLAb78F95q04Fa2OO/xHktmdq3Vub16VcId92ECJmACJtAIBF5+GVZZBRSOGNm228LNNzfC6D3GuBN4441ABPnpp0xP110X7r0XVDjNZgImYAImYAJ1QMACSB1MYh0MwQJIHUyih1AWAhZAyoLVjTYqAdX8HDAAPvsMOvMnE+lGJ6amcLz4YnCjymYCJmACJmAC7SUwbRqsvjqMHJlqSamFVIi6b9/2tu7jTaA0BF57DdZeG37+ObO99deHu++2CFIaym7FBEzABEygygQsgFR5AgrsPgkdgMHAAGAuQPk5/5mAb6KmktAFUD7ZqQmYVGAXVdndAkhVsLvTGiBgAaQGJsku1haB99+H1VYLrvPfZzEW48PUAP77X9h559oakL01ARMwAROIJ4Frr4Vddsn07bTT4Ki0+lPx9NxeNRqBV14JUl+l16kRg403hjvvhC66v2AzARMwARMwgdolYAGkduYuCRsDFwDzZ3m9TALejZ5Lwr7AhcBvwDwJmBD3UVoAifsM2b9qEbAAUi3y7reuCTz7bHCdf+ukTdmU+6aP9e2Nj2Lp+0+r67F7cCZgAiZgAhUgMHEiLLIIfP11qjP9r7oLM8xQAQfchQkUSOCll2DIEPjll8wDt9gCbrkFOmmBpc0ETMAETMAEapOABZDamLck7AlcCkRawQ/AbIDyyWYLIFqhMRZQHvOdE3BD3EdpASTuM2T/qkXAAki1yLvfuiegBY0fb3kkR3Dm9LHem9iU7iPuaRJHbCZgAiZgAiZQNAFFehxzTObhDzwAG25YdJM+0ATKTkCpQCWCjB+f2dWwYXDdddCxY9ldcAcmYAImYAImUA4CFkDKQbW0bSZhEeAdQD84ngD2T8D7SZiWSwBR70m4AtgduCEBO5XWo9K3ZgGk9EzdYn0QsABSH/PoUcSUwIhh/2Xdm3ed7p1SYq3S432eeQaWWy6mTtstEzABEzCBeBP44QdYaCH49deUn7qpPGJEvP22dyYgAs89B+utBxOyskjsthtccQV0UEpumwmYgAmYgAnUFgELIPGfryT8H7A38DawcgL+lNdtCCASPf4r4SQBy8R9lBZA4j5D9q9aBCyAVIu8+20MAipMq6rooU2mE92YyBzzdG6qWTvvvI2BwaM0ARMwARMoIYFDD4Vzz81s8NVXYYUVStiJmzKBMhJ44okgWumPPzI72XdfuOgiSPjyvYz03bQJmIAJmEAZCFgAKQPUEjeZVJnWIApkzwRcHTXfhgCyGvAs8GsCepfYpZI3519QJUfqBuuEgAWQOplIDyOmBFTsc+aZM5xbgnd5nyVYailQrZDesf8KjSlbu2UCJmACjUjgs89gscXgz6YFa4EpfdCNNzYiDY+5lgk8/DBssknmuazxHHYYnHWWRZBanlv7bgImYAINSMACSPwnPRkUM+8KrJKAVyKP2xBAlLvjNWBKAlQTJNZmASTW02PnqkjAAkgV4bvrBiEw99wwVnWzAtucu7iHzZseDxoEw4e7Xm2DnAkepgmYgAm0n8COO8INafUXO3eGDz6ABRZof9tuwQQqTeC++0BF0KdMyez5X/+Ck0+utDfuzwRMwARMwASKJmABpGh0FTswCSpC1k23YhLwTNRxGwLIWsCjwI8JmL1izhbZkQWQIsH5sLonYAGk7qfYA6w6gcGD4cknp7txNKdyOkdP/3+77YJ7WU55XfWZsgMmYAImEG8Cr78OK64IyWTKz4MOgvPOi7ff9s4EWiNw++2w7bYwTfVH0+zf/4ZjjjE7EzABEzABE6gJAhZA4j9NaSmwdkvAtZHHbQggxwEnAC8lYNW4j9ICSNxnyP5Vi4AFkGqRd7+NQ0D5rC+5ZPp4b59xR7b+47qM8R95JJx+euMg8UhNwARMwASKILD++qC0QZH16AGffAKzzVZEYz7EBGJEQCtBdtopU9yTe2efDap5YzMBEzABEzCBmBOwABLzCQqKnV8K7AU8mQBFdjRZSwJIEnoB7wFzAmcmSFvJGtPhWgCJ6cTYraoTsABS9SmwA3VP4IILQCt0Q5uwVD/m/GwUEyZkjvzii0Faic0ETMAETMAEmhF47DFYZ53Mp085Bf75T8MygfogcOWVsOeezcfiH0j1Mb8ehQmYgAnUOQELIPGf4CSsALwcerp7Av6rx7kEkCTMCtwBrAlMBhZNwOdxH6UFkLjPkP2rFgELINUi734bh8CIEbDeeqnx9ujB8Ft/YeOhCaZOTT2tFFh33QWbbto4aDxSEzABEzCBPAgoNdAqq8Ar02s1gupLffQRdO+eRwPexQRqhMBFF8EBBzR39qqrYLfdamQQdtMETMAETKARCVgAqY1ZT8I5wMGB7tEkcNwJ3BL+/3dgIrA6MAzoGY7q+AScUgsjtABSC7NkH6tBwAJINai7z8Yi8OWXMN98mWMeM4arH+7D7rtnPt21Kzz+OPTv31iIPFoTMAETMIFWCNx6a1AjId0uuwz2UgS/zQTqjMBZZ8ERR2QOKpEICqYN070ImwmYgAmYgAnEj4AFkPjNSS6PkiCN4CJgn1D0aMnxSEs4LwE1k4/TAkhtnIf2svIELIBUnrl7bDQCWrnbsycZOa8efRTWXpsTToATT8wEolTuL7wACy/caKA8XhMwARMwgWYEpkyBxReHjz9OvbTYYvD229Cpk4GZQH0SOPlkOE41R9OsY0eQGLjFFvU5Zo/KBEzABEygpglYAKmt6UvCEOCoMMVVhyzvFR0yEjglAQ/V0sgsgNTSbNnXShKwAFJJ2u6rcQmstBK8+mpq/BdeCPvvTzJJUxTINddkollooUAEmX32xkXmkZuACZiACQD//S/sumsmCuVL3Hxz4zGB+iWgH0iqb3PaaZlj7NwZ7r4bNtqofsfukZmACZiACdQkAQsgNTltyoPVg6A2yBxAR+BH4PUE/FCLI7IAUouzZp8rQcACSCUouw8T2GEHuPHGFIf99gPluVY1rckwdCg8/HAmJqV7f+IJ6NbN+EzABEzABBqSQK7oD305jBwJSglkM4F6JiAR5NBD4bzzMkc5wwxw//0wRAs3bSZgAiZgAiYQDwIWQOIxD43uha8QGv0M8PhbImABxOeGCVSCwCmnwLHHpnpae21QGqzQxo+HgQPh9dcznZEwooW+znJSiUlyHyZgAiYQMwK5oj8eegjWXz9mjtodEygTAYkg++4Ll16a2YGKpum9sOaaZerYzZqACZiACZhAYQQsgBTGy3uXh4AFkPJwdau1T8ACSO3PoUdQCwTuvBO23DLl6TzzwFdfZXj+zTdB8fMvvsgc0D77wMUXe7FvLUyzfTQBEzCBkhHIFf2x6qpBfkRHf5QMsxuqAQKqpaZ8oRIE022mmWDECBgwoAYGYRdNwARMwATqnYAFkHqf4doYnwWQ2pgne1l5AhZAKs/cPTYigXfegaWXzhz5L78ExdHT7L33YLXVYNy4zF1PPx2OPLIRwXnMJmACJtCgBBz90aAT72HnJDB1Kiid6C23ZL7cqxc8/jisuKLBmYAJmIAJmEBVCVgAqSr+jM6TcFw5vEnASeVot5RtWgApJU23VU8ELIDU02x6LPElMGlSUMxDqxgjGzUK+vVr5vMzz8A668Cff2a+dMMNsP328R2iPTMBEzABEygRAdf+KBFIN1NXBFQ0bZttgiLo6TbLLPDkk7DMMnU1XA/GBEzABEygtghYAInPfCVBN16SpfYoERRJj7VZAIn19Ni5KhKwAFJF+O66wQgsuih89FFq0NdeCzvtlBPCbbcF1/jp1rkzDB8Oa63VYNw8XBMwARNoNAL6fthll8xRP/ggbLBBo5HweE0gk4BWh2y+Oej9kG5zzAFPPQWLL25iJmACJmACJlAVAhZAqoI9Z6ehAFJyhxLQoeSNlrhBCyAlBurm6oaABZC6mUoPJPYENtkE7r8/5ebRR8Opp7bo9jnnwGGHZb6sjFnPPutFjrGfaztoAiZgAsUScPRHseR8XKMQ+OMP2HhjeOyxzBGrvtrTT8NCCzUKCY/TBEzABEwgRgQsgMRoMhrYFQsgDTz5HnqrBCyA+AQxgUoROOIIOOusVG+bbdY8jUOaL8kkHHIInH9+poN9+wY1cPXXZgImYAImUGcEHP1RZxPq4ZSFwIQJQUSU8oam23zzBSLI/POXpVs3agImYAImYAItEbAA4nMjDgQsgMRhFuxDHAlYAInjrNin+iRwzTWw226psSlNg6qet2Kq+bn11nDXXZk7Kc21rvlV+9NmAiZgAiZQJwRyRX+oVtSLL0LClzN1MsseRqkIjB8PQ4YE7490UwSI0mH16VOqntyOCZiACZiACbRJwAJIm4i8QwUI+IqhApDdRU0SsABSk9Nmp2uSgMI2Vlst5XqnTjBxIqi4Ryv2++9BUfTnn8/cSbVAHnoIunSpSRp22gRMwARMIJvAddfBzjtnPvvAA7DhhmZlAiaQi8C4cUFxtNdey3xVi0wkgqg2iM0ETMAETMAEKkDAAkgFILuLNglYAGkTkXdoUAIWQBp04j3sKhD4+WeYZZbMjhUBkkfBzh9/DLSTDz/MPHyHHUD3y7wwuArz6S5NwARMoJQEFP2xxBIwenSqVUd/lJKw26pXAj/8AIMHw9tvZ45Q4bJPPAGzzlqvI/e4TMAETMAEYkTAAkiMJqOBXbEA0sCT76G3SsACiE8QE6gkgbnmgm+/TfV4992gWiB52KefQv/+8N13mTsfcwz8+995NOBdTMAETMAE4kvg5pth2LBM/xz9Ed/5smfxIqDfVgMHNl8pstJK8Oij0Lt3vPy1NyZgAiZgAnVHwAJI/Kc0CZ/08ZfYAAAgAElEQVQU4WUS+AP4BfgIGAncmoCfimir7IdYACk7YndQowQsgNToxNntGiUwaFCQkiGy006Do47KezAvvwxrrhlkzkq3Sy6BvffOuxnvaAImYAImECcCySSssAK88UbKq5VXhlGjHOIXp3myL/Em8NVXgQjySda9jQED4OGHoUePePtv70zABEzABGqagAWQ+E9fEqZleSlxoyXNINdrek42CTg5AafFbdQWQOI2I/YnLgQsgMRlJuxHYxDYZx+49NLUWHfaCa69tqCxP/ggbLIJqEB6ZB06wD33wNChBTXlnU3ABEzABOJAYMQIWG+9TE/uvBP+9rc4eGcfTKB2CHz+OayxBnz5ZabPEkZUOK1bt9oZiz01ARMwAROoKQIWQOI/XUm4JvRyWWCF8PGPwOvA9+H/swPLA8qhKcFDrynPZk9gaWChcD+9dnECDozTyC2AxGk27EucCFgAidNs2Jf6J3D++XDwwalxrrIKvPhiweO+4grYa6/Mw3RNr1TXatJmAiZgAiZQQwTWXhsefzzl8KKLwrvvQseONTQIu2oCMSGgOjoSPL75JtOhIUPgvvtgxhlj4qjdMAETMAETqCcCFkBqYzaTsBNwOTAGOAR4IJEVGZKEDsDGwLlAH2DfBFytESahX3j8cqFAsnoiSIsVC7MAEotpqEkn5idQ8zYC5g3DnD4GbpPSB2Qloil6jDpHtcxvW0CixFzA74CKBbwCPAZcB6St+S66r/QDLYCUBKMbMYE8CSgFw/rrp3bu2RPGjSsqxclxx8HJJ2f2O/vs8MILsFC0JiFPt7ybCZiACZhAlQgot6GKnafb5ZfDnntWySF3awJ1QOC994Kcod9HiznDMW28MSi6qkuXOhikh2ACJmACJhAnAhZA4jQbuX1R0tmwhsdYYKUE/NCa10lQNIjuyc4JSOh4Wfsng+iQN8N7t9cmYLe4jN4CSFxmorb8UDKZG8Iwp1yefxgKI6PbOaz5gBuBv7bRzszAuHb2lX24BZASA3VzJtAqgS++gPmlq6aZclbPM0/B4JQyftddm2fQWnhheP55kBhiMwETMAETiDmBrbaCO+5IOTnXXPDpp16lHvNps3s1QODNN2HwYPgpq0bpFlvALbdAp041MAi7aAImYAImUCsELIDEf6aScD0wDNgvAWm5yVv2PQn7hAvgb0kExzZZEv4FnASMTsCicRm9BZC4zETt+CFV8DmgK/AbQWGbJ8L/FaURLcuTCCIRYXyRQ1NUiSoiLxBGd0hwuR/4nCDkSs+vA2wOLGwBpEjKPswE4kJg2rSgCGd6FfPHHoO11irKwz//BC1mfOSRzMP79wc161TXRWH1QSZgAiZQGQJK1aN0V1K0Izv9dDjyyMr0715MoN4JvPJK8Bvr118zRzpsGFx3ndPM1fv8e3wmYAImUEECFkAqCLvIrpLBvda+wKpRNEdbTSWDe76jlDIrAVrA3mRJGAQoh+1viaA+SCzMAkgspqEgJ5YC1gAWBHoAbSVB1pXj3wvqofWdnw77nwIMBF7I2v1w4MzwuROBE4roW+flk2H7PwMbhqFYuZrSEiWlv0q7Qi6ix+aHOAKkJBjdiAkUQGDFFeG111IHXHQR7LdfAQ1k7qpreqW6fuONzOc32yxYVOwU8kWj9YEmYAImUF4Ce+8Nl12W6kMCuYo39+pV3n7dugk0EgGFxa67LkyYkDnq3XYDFVXroDVnNhMwARMwARNoHwELIO3jV4mjk0GpAeXBHJgIFr23aUlYHXhGJRESwSL5JkuCaoDoxs4fCejWZkMV2sECSIVAl6CbRYAr80gHlaurtkSSfN1TCeGoKrGuSvfOcaB+Kb8NLBFGZcwBTM63g3C/HQjCr2RbAWn5DwpsqfjdLYAUz85HmkBxBLbfHm66KXXs/vvDhRcW11Z41Ndfg6I+dN8s3aSrqOmEvwXbxdcHm4AJmEDJCYwdC3/5C0yalGr68MPhzGh9Tcl7dIMm0LgEnnwSNtgA/vgjk8G++4IWoviHUuOeGx65CZiACZSIgAWQEoEsYzNJ0B0T5R8/OZHnQvZkkOZK6a6+SgS1oZssGSyW16L2LxOQlee8jINoo2nf+qke+0J61kn4KkGRmWjOpM6p7sW0PBqafiLmsW9ru5wKHB3u0D9NDMk+5qgwNZaeXw8YUWC/IxV2BXwALF7gsaXa3QJIqUi6HRPIl4Aql6uCeWTrrNM8h1W+baXt9847sPrq8MsvmQfrXpruqdlMwARMwARiROCYY+A0ZVgNTUWZVfujiJpQMRqVXTGB+BIYMQKGDgXlD023ww6Ds86yCBLfmbNnJmACJlATBCyAxH+aknAdoMXoCgsd3FYarCT0SyuHcGMCdopGmYT9gQuUHisBunccC7MAEotpaNOJiwmKyyjN07XAf4B32zyq9DtE6a/0hugNKA1WLhsAPB++IEXw+AJcUd445Z6TaZzR7cnOQJ8w3dXYIqJKCnChaVcLIIUS8/4m0F4CykuloreR9ekDY8a0t9Wm47XAcb31ml/bK+Bku+1K0oUbMQETMAETaC+B8eNh3nkzFevdd4crFQRtMwETKBuB+++Hv/0NpmRd3v3rX6AFKjYTMAETMAETKJKABZAiwVXwsCSo3IIW3qvMgMKwJWCoFvM7ibDkQDJYkK/9dgQOAGYEtHpi5USQCajJkvAYQR2QsxNwRAWH0WpXFkDiMhOt+/EJQdiQTr6dq+jy98BsgDLqL9+KHzMDP4Wv3w5sXYDPuvt5W7i/xqroES0DVBtR7riJ4fOqMfJ6AW0XsqsFkEJoeV8TKAWBt9+GZZbJbEmFPJT7vQR2yy3NxY7OnUHX/BJHbCZgAiZgAlUmcPbZ8I9/pJxQ+p333oPFFquyY+7eBBqAgBaibLMNTMtKMPDvf4Mis2wmYAImYAImUAQBCyBFQKvCIckgAuSasNZ0VGdZYkh0f3cWYIbQNekJ+sGwayJVwkDix0LAo+E+OyWCGiGxMAsgsZiGNp2IitGsE4YYtXlAGXaQsic/ZA8AG7fRx29A97B4uSJC8jVFi0SF0w8B9Gtbqb9ymWqL7BYKQ/m2H+3Xt40Dlg3HyahRo+jXT9FdNhMwgbISUL73bt0yL7xHjYISvv+UyeGIrDUI6vKRR2C11co6OjduAiZgAibQGgGl31lwQfjqq9Rem20Gd99tbiZgApUicOONsOOOkIzue4QdS5w89NBKeeF+TMAETMAE6oiABZDamcwk6K6IshCpkHlr9iawX74F0+NAwAJIHGahbR++AVRMXFEJr7W9e1n2kAjxXdjyrcC2bfTybeizwqCylnS3euT5wIHhHqrGJ+FFkS9nAB+GYojCrRT90SVMhSWB5ZUCR531q77loy2AFEjWu5tAewgssgiMHp1q4dprYafp6STb03LTsbqeP+ig5rXVe/eGp59uHoDS7g7dgAmYgAmYQH4E9Hm/yy6Z+77wAvSPTerg/MbhvUyg1glcdRXssUfzUago+n771fro7L8JmIAJmECFCVgAqTDwEnSXhFUALcJfGlCWH9nPSokFPJYA1W6uKbMAUhvT9T9gg1B0UEqpapgKqX8Rdnw9aQVuWnBG++qYj4GFC3BYSZ53T9v/6qz/o5eUtf+m8J/hIZ8Cummqp5KXWQDJC5N3MoHSENh0U7jvvlRbRx4Jp59emrbDVpTZQYsbVf8j3eaaC557LliAbDMBEzABE6ggAanTK60Er6Wt8xk4EJ56qoJOuCsTMIHpBC6+GPZXDdMsu/DC3M8bnQmYgAmYgAm0QMACiE+NOBCwABKHWWjbB2Wnf0gqGzCk7d3LskelIkAuUhhVOAJV4VOqKkWT5LKXwqgY5Z2bFRhXwMidAqsAWN7VBCpG4OijMwWPoUMzBZESOTJ5MiizyoMPZjYo8ePZZ2HuuUvUkZsxARMwARNom8Azz4AEj3S7917YZJO2j/UeJmAC5SGQXZMn6uX88+HAKGC/PF27VRMwARMwgfohYAGkfuaylkdiAaR2Zu8s4LAwF5tqY0gcqKRVqgaICp4fFQ7sZaC14hunAP8M91VolgSiUpmLoJeKpNsxgUIIXH99ZsorKRIfK5Cs9DZxYlD8XIJHuqkOuxYdzxwFepa+a7doAiZgAiaQTmDLLeHOO1PP6LP/ww+hY0dzMgETqCaBU0+Ff0aXW2mOnHMOHKJLUpsJmIAJmIAJtE7AAojPkDgQsAASh1lo24dh4S77Aqp3MQZQKqz3gYltHz49VVQeu7a6yw9hpMUbwPKt7Knbhj+Fr8vPrQvoWGNUwR2Zql7+rZVj/w5cGr6ulFi3FNBPW7taAGmLkF83gXIQePXVIA1KZIkE/PZbUBy9DDZuHAwaBG/oUy3NVBBdhdHL1G0ZRuImTcAETKBGCXz2GSy0ECg/YWTnngsHH1yjA7LbJlBnBFoSQf7zHzhM6/NsJmACJmACJtAyAQsgtXV2JKEDsCSg5OA9gDZXJCXguriP0gJI3Gco8E9XhHnXrMgako7rVKJhPg2sAUwAercShSKR5vmwz5OA4wvof03gyXB/FQLYtJVj08WSrYA7CuinrV0tgLRFyK+bQDkIKCxjppmCauWRSRRZYYVy9NbU5tix8Ne/Ng802WADuOce6NKlbF27YRMwARMwgcMPB91IjUzfAWPGQK9eZmMCJhAXAmecAUdFQfppTun5I46Ii5f2wwRMwARMIIYELIDEcFJyuJSErsC/gD3Dxe/5Op5MlO6+c759FryfBZCCkVXlgLQlcQX3r7uIbap1ebZ6KnB0uG9/4MUWjtOvY6Wykql+yYg829du3YHvCd54bwPLtHLs2cCh4eurAS8U0E9bu1oAaYuQXzeBchFQ6pNPP021fsMNsP325eqtqV11JxHk668zu9luO1D3HbQGwmYCJmACJlBaAhMmQN++oHC8yA44AC64oLT9uDUTMIH2E5BQKcEy2xQhohpuNhMwARMwARPIQcACSPxPi1D8eBxYBShUK5AAUqr7zmWDVeigyuaIG26VwELt5FOqBPp6I0Six2XA3jn80m1CCRdLhEXJ5wAmF+j/XcDmYdTLYsBHLfTzISA2SgM2CzCpwH5a290CSAlhuikTKIjAxhvDAw+kDtFFtS6uy2xvvx3U4P3558yO9t0XLroIlI3LZgImYAImUEICl1wC+pCNTB+0H3wAiyxSwk7clAmYQMkIqPZHrrRXJ58M/9KiUZsJmIAJmIAJZBKwABL/MyIJxwCqsyzTPd2LgFfC8gZtLspPwOdxH6Vv58R9huLnX5QGS0XYB+aIutCyoDNDt08ETsgawi7ANa28rpfShZZHgI1yiCj6hX1y2I5qhuxfYlQWQEoM1M2ZQN4EjjwSzow+RpQIb9MgF1UFbORIWHttUCaudDv2WDhJCf1sJmACJmACpSGgmh9LLQXvq6RdaBttBP/7X2nadysmYALlIXDeebkLoJ94Ihx3XHn6dKsmYAImYAI1S8ACSPynLgmqiqoMPCpnsFYC/oy/14V5aAGkMF7eG5SI/7kwRdVvgJZlPxH+vy2wVwhJ0RkSEcZnQctHANEhEjWiJYGjgHMBtTk7sEO4ab8vgRUBFWgvpVkAKSVNt2UChRC49lrYRR8VoWkl8Id6+1fGRowABaFMzopd0/X+QQdVxgf3YgImYAJ1T+Dhh2H99TOHqQ/gIUPqfugeoAnUPIELL4QDD2w+jOOPB20Om635KfYATMAETKBUBCyAlIpk+dpJgu7vqhTB5glQPea6MwsgdTelFRnQUOAGoGcLvelOpaI2Rud4PV8BRPnjrgZ2amVEan9j4IMyjNoCSBmgukkTyIvASy/BKgoEC00FOJQnfsYZ8zq8FDvddhtsu21mLXa1e911sOOOpejBbZiACZhAgxPYcEN46KEUhCWXBOUi9I3TBj8xPPyaIXDxxbB/jiB8pcJS2KzfyzUzlXbUBEzABMpJwAJIOemWpu0k/AT0AlZKwOulaTVerVgAidd85OONamxIgFgHWDqsfaHjdLIqT9ujwP1Amzna8umslX3mB7QWWkJHX4LwKAkSt4e54rISyExvKV8BJDpASwP3AFR0XdEfUiXfAe4EVIfkj3aOo6XDLYCUCaybNYE2Cfz2G/TokbnbG2/Assu2eWgpd7j8cvj73zNb7NgRbr8dNleVIpsJmIAJmEBxBFTnY/HFM4+99NLmH7rFte6jTMAEKkVA79t99mne2zHHwCmnWASp1Dy4HxMwAROIMQELIDGenNC1ZJD6alXd403A8Ph7XLiHFkAKZ1bNIyR6XAHMl+ZENIfJtOdUfGZP4LFqOlvjfVsAqfEJtPs1TuAvf4HP0+po3XQTbLddxQd12mmga/h069wZ7r0XNtig4u64QxMwAROoDwJaNa7V45HNPDOMGQPdutXH+DwKE2gkArlWjGj8qummH1KOBGmks8FjNQETMIFmBCyAxP+kSAblDC5VzeYE7B5/jwv30AJI4cyqdYTu/F0PaM6ieRsDjA0dmiuMxIj8UwTI9sCt1XK4xvu1AFLjE2j3a5xAdmoUpVM4+eSKDyqZhMMPh7PPzuxa2bgeeADWWqviLrlDEzABE6htAuPGQd++QWrDyI44As44o7bHZe9NoJEJXHkl7LVX89yhqhNy7rmgdKY2EzABEzCBhiRgAST+054M7jM/AqypUgQJuDn+XhfmoQWQwnhVa+95wzoXSoCv1FJnAlcCX2c5NHeYLuoIoDvwO7AYIKHEVhgBCyCF8fLeJlBaAv/4R6bq8Le/wZ3KfFd5kwiy996gBY7ppoXKqte7+uqV98k9moAJmEDNEtDN0EMPTbmv3IKffALzpQc41+zo7LgJNC6Bq6+GPfZoLoLsvjtcdhnovW4zARMwARNoOAIWQOI/5ckg05DuIyvr0ICw7MBNwPvhfehWB5GAL+I+SgsgcZ+hwD+tPT4E0FK5QcArbbi9IvAUoDwC5wL/qI1hxspLCyCxmg4703AEdBGtC+bIlCv+vfeqhmHaNNhlF7hecXhpplIljz0G/fpVzTV3bAImYAK1Q0Afpvo8/+ijlM9bbQW33VY7Y7CnJmACLRO49lrYddfmIsi228J114HyiNpMwARMwAQaioAFkPhPdzKoIx2VVpBWkF5moa0BJBPQqa2dqv26BZBqz0B+/au4+RLAScCJ+R3C8dC0qWD4Mnke491SBCyA+GwwgWoSePFF6N8/5YFWDSpdygwzVM2rKVNg2LCgCHq6KXX9E0/AcstVzTV3bAImYAK1QeDRR2HIkExfn34a1lijNvy3lyZgAm0TuOUW2HFH0A+ndNtkE7j1VlAeUZsJmIAJmEDDELAAEv+pDgWQYh2VABL7ME8LIMVOb2WP+zUMRdLV4fN5dr0a8CzwG9Azz2O8W4qABRCfDSZQTQK//gq9emV68NZbsPTS1fSKyZNhiy3g/vsz3Zh9dnjySVhyyaq6585NwARMIN4EttwyM53hUkuBPttdJDne82bvTKBQAvfdB4ru+vPPzCPXWQfuuQe6K8uGzQRMwARMoBEIWACJ/ywnYef2eJmAa9tzfCWOtQBSCcrt70Opr7RURsuhX8qzOSVkeTHM1TZTnsd4txQBCyA+G0yg2gTmnRfGpJUw0qrBrbeutlf88QdsumlQ/yPd5pwziARZQvF6NhMwARMwgUwCX38d1PmYOjX1/IUXwv77m5QJmEA9EnjkEdhsM5ioEpZppuJpDzzQfKFLPTLwmEzABEzABLAA4pMgDgQsgMRhFtr2QYmSFwzrgFzQ9u5NexwInAeMBhbN8xjvliJgAcRngwlUm8B662WqDMcfDyecUG2vmvrXtfyGG8JTqraUZhJBFAmiFPc2EzABEzCBNAInnwzHHZd6ols3kCiSHe1naCbQDgLJJE3RmlqsEG0KQlD5Gb2Wz6buO3UKMjUp86b+Ro9VwsIBSwVM0LPPwkYbgSJ702355WH4cNAPJ5sJmIAJmEBdE7AAUtfTWzODswBSG1N1ObAH8C2gAufftOH2XMCrgH5RXgXsVRvDjJWXFkBiNR12piEJHHoonHtuaugxK5Q7fjxIo3nhhczZmWuuQARZbLGGnDUP2gRMwASaE1AtgAUWyIzq22MPuOIK0zKBDAIKEPrhB/j2W/jxR/jpp+bbL7+AvoOzN5UKk+ghkaNcJvEjEkXS/0rPk5aXvvXu3fL/em2WWaBLl3J5GqN2X345+MGkyUy3hRcGRYn85S8xctaumIAJmIAJlJqABZBSE41He8mg8PlQYKcEbB4Pr1r2wgJI3Gco8G/ZUNDQfCkfzEHAvUD2z3u9vimgO4bzA8oxIMHkrdoYZqy8tAASq+mwMw1J4MorYc89U0NXgY133okVCi1o1DX9yJGZbs09dyCCLOr4u1jNl50xAROoEgHVA1DuwHTTTdGVVqqSQ+620gQkSuj+95dfBpsyXEZ/x44NBA/9lfihaI1GMQkhc8wRbKon1trjWWeFjrEvMdrCzL39Nqj+hyY63eaZJ4j2VT0gmwmYgAmYQF0SsABSX9OahFUlegDbADNrdC6CXl9zXO3RHAucmCZ6/Ai8AnwXPqdoD11Fzhqce02mPAOnVNvxGu3fAkiNTpzdriMCzz8PyhMdmfJRKPeU8k/EyLQSVSLIi6q6lGa6ppcIssgiMXLWrpiACZhANQhssEGQ7iayfv1g1KhqeOI+y0hA0ReffgoffwyffJL597PP4Pffy9h5AzQt8UMLLPr0SW19+2b+r9cUjRJL04kxZEhwkqSbQmEefBBW1f0UmwmYgAmYQL0RsABS+zOahPmAHcMtusMR3XtOWgCp/TmO2whU1+P0sCC6fMsVAaLn/wCOBC6M2wBqyB8LIDU0WXa1Tgn8/HOQHyLd3n03llXGJYKsu27z+3m6ESERRFkebCZgAibQkAR0J1wfgul5ia6+GnbdtSFx1MOgFcmhr+P338/cdF+7VqM3lNoq2jRHSsVVqzbzzIEoInFk/vmDTVmmor9K1dmhQ5VGp7o/WjWiiJB0694d7r47EEhsJmACJmACdUXAAkhtTmcSZgK2CqM91ggX208XPYCXgDuAOxOQtbohfmN2Cqz4zUlbHs0B7A6sAywdhRsBPwP6JfkocHVYL6Sttvx6ywQsgPjsMIE4EFAYxTdpZY/uuAO22CIOnjXzYdy44LpdWV3STUN47DEXRo/lpNkpEzCB8hM46ig444xUP8r589VXMV6mXn4ktdKDiodL5HjrLXjzzdSme9jlNokRWgORa9Mp1KNHsM00U+qx7qF37ZoqWh4VL1edDd3wTxc5sgWP7PFIyNH4J00K6opk/81+TvVHtBhCm34PRI9z/V/tSBjxmG++TFEkEkgWXDCIMimrQKIFLiqMnl1ETRG+118P2yijhs0ETMAETKBeCFgAqZ2ZTAYZhdYLRY9NgK6h95F+8BpwXSh6qERDzZgFkJqZKjtaYQIWQCoM3N2ZQE4CUhQela4b2oknwnHK7hdP0zW9XH5FCQrTbM45g2EsLdnaZgImYAKNQkB3jeedF77/PjXigw6C885rFAI1M87Jk4NF+RLxtel7TKKHni+lSXhQBIJOi2jTDXc9p+9KbXo822ygzJf1aBJWJJKo3sl336U2vU2i/9Mf67dFJU3C0UILBYFb0V891qY5K8m8SDHacsvM1HjRIM89Fw4+uJJDdl8mYAImYAJlJGABpIxwS9R0Mqg9rboewwCVWJBFmsF7wBJhFqLtEnBbibqtaDMWQCqK253VEAELIDU0WXa1jgnoRtkFF6QGqFWBt9wS6wG3JILoZo5EkOWWi7X7ds4ETMAESkfg5pthmK6j0iymqQxLN+j4t6RsZCpArlJbWoQ/ciS88UYQ5VAKUyFvRRLo5rn+RpuiDhQVqQgEW/4EJEJJEFFArIKntKmIfPbj8ePzb7PYPSV+LLBAbnFEUSQzzFBAy1KCdt459++6ww6DM88scyhKAb56VxMwARMwgaIJWAApGl1ZD0wGQsf2YV0PCSCySCcYC+jGyw0JeDUJ0yyAlHU63LgJVI2ABZCqoXfHJpBG4LLLYO+9U08ss0ywJDXmppWd66/fvDC68nKPGAEr6xPGZgImYAL1TmDNNeHpp1OjHDQInnii3kcdu/FNmQKvvQbPPhuIHtram8ZKIsaiiwbpHdM3PafUVLbKE5AAki6OSOT6/HNQAXr91SbNoVym6B6JXFHkiM6FxRYLNokmOSNHVGxFi10uvri5W9tuC//9b4GqSrlG53ZNwARMwASKJWABpFhy5TkuCduG0R4qrdAxTfSYANwj0QN4JBGIHk1mAaQ8c+FWTSAOBCyAxGEW7IMJPPMMDByY4qA7LkqbUJL8C+XF++uvsOGG8Nxzmf307AkPPwz9+5e3f7duAiZgAlUloEiPpZbKdEERfM7vX/ZpUcTAq6/CU0/Bk08Gwkd7ogNUPHvZZTM33eSuga/isrOupQ5U12Ts2ExRROJIJJDor2qblMN0rigiKBJE0sWR2WdLkjjzDDj66OZdDx4cFEfv1ascbrlNEzABEzCBChCwAFIByAV0kSZmKNpjKvAYcD1wdwIm5mrKAkgBgL1rXgQ+DPdKAoulHRE9n1cjWTtlt1VMG414jAWQRpx1jzl+BH78MUgEnm4ffBAsO60B++03GDo0uAGVbira+sADmdpODQzHLpqACZhA/gQOPBAuvDC1v/IiaUm68x/lzzDPPZXS6p134JFHgk1rB/T9U4zpJrWiFKNt+eVBRcdt9U9A55HSbI0endo+/jj1WAs7ymE6v/SzbrdO17HHyN3pOG1KZjdS3x58EPr0KUf3btMETMAETKDMBCyAlBlwgc2niRn6tXgIcG0iEEJaNAsgBUL27m0SiMKLJFooDCmy6WFHbbbQfIfstopooiEPsQDSkNPuQceSgKqhfvttyrW77oLNN4+lq7mcmjgRNtssuCmVbl27goaiVFk2E0Ksz7QAACAASURBVDABE6grAr//HhR7UD7AyLS6+9RT62qY1RyMvhYjwUN/deO6UJtlFhgwINhWXRVWWgmUqtFmAtkEJI5oTUokjqQLI3qsGiWlsCGM4E62oAeZCt7PM/Vl+H7/Y7a1l2sSS1SMvUOHUvToNkzABEzABNpFQGGn+lGiHIzKr6kt6/EXX37J/KlQ1H7Ay+3q0we3i0AoZqgN3S+W/QDcCtyYgBdzNW4BpF3IfXAOAgo5imzHtMfKvxadmMWAS2+rmOMb8RgLII046x5zPAmstVZmzvhTToF//jOevrbglVJKbLFFsIAx3Tp3hptugi23rKnh2FkTMAETaJ2APti2V03F0FQc4JNPQFWSbUURUPqiV14Jogf/97/gcaGmWh1//Sustlqw6UaypsZmAu0l8MsvEIki+vvhh8GmoF0JJ4XYCrzKg2zIXKQtfgHGMxPbcCsPsSFaRLLIIsE5nJ1WyxFLhdD2viZgAibQBoFJk4JciZ9+GvyWi/7qOQkd330HUslbsTHAvKnXLYBU+aRLwvzAzsAOwMKhO9EkfhzWAJEYosdNZgGkypPm7k2gjAQsgJQRrps2gYII7L9/ZnHMYcPgxhsLaiIOO+u3o1Lf33tvpjdawXjllbDrrnHw0j6YgAmYQAkIrL02PP54qqF11mkeBleCbuq9CaWxUs0oiR4S0NODIfMZ+5JLgurOqxa9ymkpoNJmApUmIAEkEkOivxJGPvqo5aLsC/AJw1mfRfkow92pdOAgzudi9m9xGMq2J1EkWxxRejctPLGZgAmYgAmkEZB4IRFDH8rZIocED0V0tCFwtMXTAkhbhKr3ehIGhGLIVkAUBxyJIaPC2iCKDlGsp57fLgG3Vc/j4nv2mp/i2fnI+iZgAaS+59ejqyUCl1wC++6b8lgJyV97rZZGMN1XRQhL6Mil35x3Hhx0UE0Oy06bgAmYQIqALpZ1pzHdbr4Ztt3WlPIg8MMPcN99Qd1npbaSeJ6vzTcfrLsuDBkSCB+6EWwzgbgSmDoVvvgiiBLRli6OjBkDs/Aj97AZa/BssyGcz4EcyjlMy8ga3fpIO3aEBRfMLY5IHHQ0VFzPFPtlAiZQEgL60FXUxnvvwfvvB3+jLT1laUk6y2ykkgJIGN1wILBRGHiiX1KKZNBN+4tbKvJd6LCTsB2gJYzLAqqWprDFZ8I+Xii0vWrvn4QuwFBgJ0BJuqMlAxI9VJxL/+vx9gm4pdr+FtO/BZBiqFX+mHnCLscC+dYDUVbUaJ3X15V3ueZ7tABS81PoAdQNgaeeCu7kRDbjjEF1V13J1qApjcl++8GllzZ3/sQT4dhjfRFeg9Nql03ABCIC+hBTqsLIVFRCqwf12W3LSUA3e1UTSpsKmOt7Ih/r0QMGD06JHkoJ5Ju4+ZDzPnEnMGFCsBj5o7cnsdhZu7Psm80jf+9nY7bjZiYwU7uH07NnEDGSHTWi/7t3b3fzbsAETMAEKkdAK+4kcLz7bqbYIZVZeZnLZQqxU/23Pn2Cv2mP3xg/nuVTCxrLlgIrGdzAVwmBni0M80MJIwkYXSyGJHQF7gA2bKEN/Yo7KQEnFttHtY9LwmzAMEDlFFYK/YmiQiQoqbqpGNyXgF+q7W++/VsAyZdUdffTG0iblMV383RFS+8UM6zjOuV5jHdLEbAA4rPBBOJCQJU1s5ex6qp44ShdZVwczd8PRREfcwycfnrzYw45BP7zHxf3zJ+m9zQBE4gNAa0uVJ0P3dGP7IAD4IILYuNiXByRJnTHHXDbbfDcc/l7pRuyG28MG20U1PPoovV6NhOoZwL60XTSSXDCCc1G+dXsy3HsMvfy7JfzN6Wm10dQqa1v39y1RhRx1clX2aXG7fZMwAQKIaDIjTfeCLbXXw+2d95pOb9gIW1n7zvrrLDAAkEonf5q0wdhJHbodeV2zmEvvfQSq6yySvRKWQSQJKwA6BeVBIrfgNOAJ8L/FYa8Z+iARJCVEyotVYQl4WYgCmtW++cDWnS+DHAMEIVB/z0BlxfRRawOScKSYYosCSJ9QuciMWQyoJy3dyTg6lg5nsMZCyBxn6HAP4kYOsH0hipUANFxtblMurpzYwGkuvzduwlkEph9dlBekMhUSGOTTWqekgSQo49uPowddoCrr3au6pqfYA/ABBqNwEMPwYZZC+J0Mb7cco1GIud4lWJbosettwaRHvmk1NYNVtXwiEQPRXnYTKAhCdxwA+y+e/Mbe/qNeOed/LnqGk3p66OUWulptfTeK7Xpvan7f1qPE23K/qfHet7iZKmJuz0TaGAC+sGgnIGRyBH9VUqrUtkMM6SEjUjk0N/osULlirQKCSBPA2uE6ZoGJiAjDVUSDgfODIdwYgKaq+ptjC8JawGPhbvdD2yegOnSexg58QowHzAOWDABPxeJLVaHJUH6wdphiqzNgfT4yGmJGlh4bwEkVqdUi84UI4BoabSUTUeAFDfHFkCK4+ajTKA8BJQCS6mwIjv11NzKQXl6L2urKnGilFjZN8LWWy+4UTZT+zM7lNV/N24CJmAC0wlsuWXTjcjpttJK8PLLDQ1o4kS45x7QvdsRI/Jbod61K6y/Pmy+eSB8KIuYzQRMQNnVn4HNNoOffsrEITXi//4P9owW+Ga+rEXS6TVGInGkXBlhtAhaC6MlhkSiSCSS6F5it26eTRMwARNohcDYsTBqFLz4YrC98gqUqk6HflQssUTmtvjiMP/8ZUsxXW4BJAkKL3kxJHpZAvbOppsEhae8DSwRihNzJEARDHlbEh4ENghFlgUSkBbyHDSTDKJDFCUiOyIBZ+XdQY3smAzEjy1CMUS5ypWBNfYL7y2A1MYJVowA8ldACqjysfmyqfB5tgBSODMfYQLlIyCFQBe2kQ0blruSePk8KGvLKoq+yy4wReXF0qxfP3jgAdDiRpsJmIAJxJqA0hUq77NyT0emz+199om12+VwTml4Hn88ED1U10Nlq9qyXr1g000D0UOFzH2DtC1ifr1hCSgNqqKAleM+2/R78dxz8w6hVb2dL7/MLY5osXU+UVrFzIMyxqQLIsocqE2RIyrI3kIWmWK68jEmYAJxJ6CVEhI4JHREooc+gNpr886bEjkkcESihy4sK1wwrAICyKlAlFehfyIlhmRQTMJRYWosPb9eAkbkizkJPQClpFDy0eGJQAhpZmEx8e/DOiQvJGC1fPuoxf2SMG9YGD1Hcu94jcgCSLzmoyVvIgFkaeC9NlzWnCrnnJItrw+MAvrXxjBj5aUFkFhNh51peAIKk0gVToNllw1yndaRKXOMFk/rN3C6Kd/7ww8HF8Y2EzABE4gtAd10PPTQlHsqev7NN9C7d2xdLrVjWlV+zTVw/fVB3fe2TEXMJXpssw0MGQLKPmEzARPIg8Avv4AWwzyoxbhZNnhwUFxnNtVwLd5+/z0oxJ6eSitKr6Xuy2VKnaWF2JEoEgkj0f9zzmmBpFzs3a4JlJ2AVFeJtyNHpsSOt97KLzy0JedUfHyppWD55VObUo/G6PdXBQSQKP3VBKB3ArKWFQbwkjAAeD5EqULlx+c751npr45OQIs3/JPwMLBuGCnSrdBIk3x98n6FEbAAUhivSu39Z1ZHKq+mWh75lHXLDjs6EvhPpRyvo36mCyCP3Powyy+jekqF2Ywzd2WmuXLnrhn36c9M+SPnZ3KbnXSasRO9F8gd1PPb2N/44+ff22yjpR1mWyL3MvNJv05i/Fe/Ft1ur/l707lb52bHT/1zKj9/nBXCXkAv3WbvTrfZcseQ//TRj0ybIu2wcOvcvQu95uuV88BfvviFyROy36L59dGhUwdmWWTWnDtP/GEiE7/X93VxNvNCs9CxS/Oow8kTJ/PL50o/WZz16NOTGXrmviPzw3ta2FCcFfr+6PTKSHrvmKr5kezUiR9f/Rw6ZZ5Xtf7+0MIfFbb98UfF6E5lFoL3x+yzwRVXwGKL5c/b748Uq3p/f+R7VtT6+yN9nP7+SNGIxfdHMknvTQfSafQH0x2butW2dLwtygCQeZZW8vuj3O8PRXcMHx5k/nq9BV3+B1K/rxTZocXrEj0GrzaJyT/695XmyL+vUmdqPb0/8nn/FX39MXUq3c4/lW5XXtism6l95mXabXfQebXpRXdTn03tvP7oOlt3fk90Y/Ropm8ffxw8/v79H/llXHHXH3/ShV/Jff3Rk1/oQnD90aVzUHNYAXfRpkLteqzoEek+HdMuCXz9kTo9Cr3+yOf81T7+fZUi5euPrOuPxDR47bUgfZ+2Z58NLvSKtGk9e8Fyy9Nh5RUDsUNChyI7wqJD1f7+UNScAoH/+CPYJCRPTnbivbGj2W238hVBT4JuTEj1fiMBy7eENxlkx4luQN2egK3znYok7A9EXziq/XFPK/2oMPqB4etLJfKv5ZyvO96vCAIWQIqAVoFDivvV1NyxuwjyzxV3p70CA41xF9MFkC+BvkU4+uSKhzDolXNyHvlWjwEs89vIIlqFt2bqzzLjM+o5TW/nyZUOZdCr5xbVbtNBLcR5v3Do7Qw4N+/vhmb9v3XZ8yyzl8T2TPvmpTHMvYoi5oqzJzc5m0H3pq02TWvmm459mXvaV0U1/EKfLRkw5vacx77QdysGfHVHUe1+06EPc09tliayqa0nNz2HQfcdVlS7OuibUV8yd7/mZ+pbl7/AMn8vPuryhUNuY8A5W+X2qx2hs35/pJBmvz+0KEj1P6Z+MYYxTRGlxZnfHylufn8ELPz9kTon/P4o//vjnS2PY6nbT/T3B9CxQ7IpwmOHHYLyBVFtJ/++Sp0e/n2V9lbx76smGO19f0zr1IUOl18Ku+6a8TkU1+uP29mSrcl9/XEbW7EVxV1/fJXow+3njEEiiTLi6K+EEokkvv5I+z3u6/MmGHF9f9Ti9fkf/VZnxndfhwnFL3LM9SOqXNfnd81/CN8ffU6TaKGMBOl/d7tiACtPKe7+1Qv0Z7WmBDXTBZCNgDfbuMLNfdMkx0FJmBGIVgE/kICNW2s7CUpMqhoWIxNBREhelgwiPrTAXNYvAS0WuUvCP0jV/lg/EUSE2KpMwAJIlSeghe5Pznr+n2EEyBUEymZLpiiRP/S9FYZ1pZbhxXOccfbKAkja7LT3AsQCSADTAkjqpLIAkmKR6/3x1VcwbOAYnvrEAohI+QI97XzxBXrweWoBffpJEdv3x8G3MODcbXL/1muwG7xjv0k23XDMNv++ShGxAJJ2djTY+6NcC7CmE91rLzj/fFBavhh/f9zBlmxVBgFkDH2YN6tOr2rGK4pkj/HncOzPXoCl88ILFMPrVf++Ktnvq3Ld7LpsnduYsMFWTbpKtCkaVY9vU0xDkXYOh3AYuRfwPs8ABlAyASQfD/MeSJKmMNvvwkZvTQSLwFu0JHwLzKGC6AlYJh9ntE8SLgb2DfdfIgE5ClEFryZBBfCiAqZbJuDOfPvxfuUjkPdJVT4X3HIeBIopgp5Hs96lFQIWQNLg+AI9BcMX6Gknhi/Qm2CU6/3x/qNjWHyIBRAxju0NXkdIpT4QHEEYfB44gnD6OVGuFYrVENAfWuJQNnjfEbaaXEfYBqe4I2xTH/9xjUDPuM5beWW4446m4hpxFtD/8tLtfPYZfPopTX+jbZ/Ht2LzqcVFgOQSQCI2h3AO51C8AHLfxV+y4MC+qKbyrLOChBW/PzLvMMT1/eEFisE8lXOBYrnutm3FbdxB7gwNSYq/xVvDAogumKOq8dcnYKfW2CeDfXXMxwlYON95SsJVwG7h/gsl4JOWjk0G+2l/2Y4JuCHffrxf+QgU/+4on09uuTmB3cOn9KunjCXXjD6NgAWQNBjlusEb5wsQp8AKToB6uoHlC5DUm9o3sHyBnv2N7/eH3x/Z50Sj3+BV6ofbb4dLLoGtRh7KoVgAabpZ5BSjTW+VRn9/pH9exPX7o9mV7SyzwM03883MSzZUCt5yCiB9+ZKvwmTRWhclEURiSL8pL3DtR07Bq3Mwru8PCyDBJ4RSxN10xpim6IkoiiJ63O/Zczj6++IFwvTPoHdZgmdYo2mbQDfuZouib77VogAyeIYLmDSpbCmwHAFS9NnUWAdaAGms+fZo8yfgIuhprFwEPQXDRTpTLCpdZG2Ge26lxzEHTHdg6rx/4eeHR2W8q+uxCOHUqXDmmXDd9c0/wFZfDc47L5VPPn0PFyFM0XAR9IBFPb4/8v9az9zT74/SvT967TCUzq++OL3BSQPXZvylN9OjT09m6DlDzimq9PdHPudJ9P746CO49FL473/hp7BMZnd+o+v09NKp1uabF7beGjbdNCg83JIVXeS5Dcd7zd+bzt06N9trajuLPPv9Ubr3R0tTWKvvj1zj+W3sb/zxc5R+PZ93W+Y+5Xh/zPDAXcx03CEkpGSmWyLBtCOO4qcdDoCOYbhCgS7H9f0xbVrwmfXtt/DNNzB2bPj42w58+uusfPkljBkTFCiOrCsT6U7x9Ql+YhamkVZxPWy4E5Ppzbi8yM7UHWaeGXr1CraePaHrnD3pOfsMTY/Tn9fjjj9931RHKdpmyP01k7NvF0FPYan294fO10mTUsWyo6LZ6X/1ut7CTc9N68KkGXs11abIFism//ALf/72Z9Pz2j+qXfFn2rne0sk4jQ78xKxpLydZkndZm8dYl4cZyNP0bCoZkb9NoQNvsQxPMoinGMRzrM4PTVmaAivk/ZGr11/pyZ/kPvFnazVjfmZrHTtAt27B1rUrdJypK516z9T0WFv0fNM+k35mxk5TmjIJ6jW97/Q41//R8/qr/br36sToH0ezyirlKYLuGiD5n5uNvqcFkEY/Azz+lghMF0BGjRpFv379TMoETKDaBF59FVZaKeWFlpqNHw/dVcOs/u2CC+Dgg2mWKnu55eD++4PCljYTMAETqCiB0aNhkUUyu7zzTvjb3yrqRns7k9Csz9GLL4ZHH229tQ4dYJNNYJ99YJ11QP/bTMAEYkjg7bdhiy3gww+bO7f66k3RII3240k3nb//PhBCJIhIKIm2r79OPf7uO9C+tWBdugSXAhJE9Dd9y34u+l83cKObtOk3clt6Tn0ovVe0tSMLcFWRak6nTGm+/flnIEakb7mey94n1//pAkSuYtpRcW2JGnGxmfmJITzC+gxnPR5mnqaSuvnbH8zASPrzNAObIjz0+Dd65N9AK3vqXIvO6ZbO5+zzP9/9dF5Xyl566aWyCSAaQxJ+gCYl640ELN/SuJIwMxAub0EVU7bOl0ES9gcuDPffPAH3tNLP+cCB4etLJeDdfPvxfuUjYAGkfGyLaTk9TvT5tAaKjx8NGklvqxi/GvEYCyCNOOsec7wJ6Fe0ftGlX5GNGgUNJFDecw8MGxasbEo3Fde9915ILayJ91TaOxMwgTohcPzxcNJJqcEoDOKrr6CSV9XtQKl0F9dcE9RH/vjj1huae27Yc89g69u3HZ36UBMwgcoR+PVX2GUXuPvu5n0q7EAfAArhsmUQ0E1yCSXpokgUVaLnJZBEf3/8sfHgSfhOF0Q6dsz8P/01PU5/PRJP0kunRY9zPSe6Lb2eS8xo7blaEbXKfUZ1YCor83KT4KFtFUbRkfwVv6l04GVW5rGmOJG1eZ7VYMauzUS4dCGipcdtiRcS62pVcEufxwoIIE8Da0BTSFvvBEzJdR4lYUDa/dGTEnB8vudbEtYCHgv3PzoBp7d0bBIeBtYl8KNbAvKIR8rXE+9XLAELIMWSK89xUbHzZFNkXMqi54vpNbutYtpoxGMsgDTirHvM8Sew2GKZK/muvhp23TX+fpfQwxdfhKFDgwvPdNOqNaVs2WabEnbmpkzABEygJQK6k7LQQkGV3sgOPDBQE2JuWvl80UVw+eUwro0sLYryULSHPnc7N882FfOR2j0TMIGmu8fnnANHHRUsfc+2Aw6As84KcrXYCiYgpD/8kBJEJI6kCyRKy6VNQkn0WFEANhOoJIG5+Ib1EyPYqONw1p46gpmTURBAfl782ndJfl5pbSb2X5spq69J17l7T488UoooiVy2lglUQAA5FTg69KB/AlK5WdPcSsJRwGnhU+slYES+85akKaxHkSaKnRmegA1yHZsMXteVek+VVE0ghcwWBwIWQOIwCykfItlZokX6R2j+cnTz8WS3Fa8Rx9cbCyDxnRt71sgElMrgrrtSBA45JLiobTDTSuUNN8yd1eGEE+C44+pjtVCDTauHawK1ReCZZ2DgwEyfX345M1VhzEYk9/SVcdttoLRXLZlqJUtb//vfm2f4itmQ7I4JmEC+BBQ1vO228OmnzY9YYQW46SZYfPF8W/N+7SCg9EeRGJIukEgk+eWXYFPwTq7Hei6XjtUOd3xoTAhIREivO5FehyL9ca5oimbPzTCF2Ue/wMwjH6T7M8Pp9NbrhY1yvvlg7bWDba21QGGgtqIJVEAAUYGRSPS4LAF7ZzubBCUtfRtYApqKFM1RaGRGEh4kED6kpi+QgDE5+tkWuDl8/ogEnFU0OB9YUgIWQEqKs92NrZ3WQhRapafSny+mk/S2ijm+EY+xANKIs+4xx5+A7u6feGLKzyFDYETeCzfiP74CPPz5Z9hqK3gsxye8ru8VHKOLBZsJmIAJlIWAckFdeWWq6SWXBOXcj1muBgkd990XCB/PPts6ieWXD2otqbC5Pz/Lcta4UROoLgHdPddn1+23N/dDobSKBNl3Xxf3qe4stdq7AnokoEQiiYSS7KLY+j/alOow+38d31IBbj2v+heNahIhFAxV7JZdPDtXQe1c+0j4aHeUpS6Ohg+H//0PHnoI9H++JqcGD4b114f11gtWP8Ts90y+Q4njfuUWQDTmJERpsCRODEzAC+ksknA4cGb43IkJOCHr9V2Aa1p6PewjPQ3WfcDfEjB9SU0SZgNeAeYLRZYFE1DAiVj92QvHsH2YUmxBgsiXtmKckglYqPret+6BBZC4z5D9qxYBCyDVIu9+TaA1AnfcEdz1j0zFL5SUuEFt8mRQxplLL20OYNVVg5TXXrDUoCeHh20C5SSgQkT6/NWdp8hOPx2OPLKcvRbUdlTf47zz4JNPWj5U9zc23hgOPRTWXNP3OwqC7J1NoBYJ6A76FVfAQQcFd9KzTYtrVBukT59aHJ19LgEBZXhMF0j0WGJ6VF8j/XF2zY3WXsuOXEm/vx49zvWchpTrdQkG2fVGivlf7USCR02lctJ7+f33A8FD23PPtR7emX1uaOGGBA9ta6wBEkFtZSFQIQFkBeA5QEsAfwOUFuuJ8H9FZewVDu5DYOUEjE8fbBLaFEC0fzKI7lB7MrV/HvA1sAzwT1JCwN8TcHlZgJap0SRsB1wSih5NHz15diUBpC2RJM+myrdbvoMpnwdu2QTiScACSDznxV41OoEPPmienkDFMFR4t0FNv/0vvBCUDSy7uOE88wQZwySG2EzABEygZARuvTVIJROZ7sx88UUsqoMr9/wFF8DFF7de30OrTVUbWfdAF120ZGTckAmYQK0QUMSaCqe9+25zj3v3hksuyfycq5Vx2U8TqGcCUqOefjolerS2wiGbQ8+eoMJeUZSH0lzZKkKgEgKIBpKEocANYf2NXGOT+LFRAkZnv1iAACKB5Q5gwxbgqYTBydkRJhUB3Y5OwiLvj6SJHp8Db4aRLG2WZUhA7AuzWgBpxwniQ+uagAWQup5eD65mCWjplJK86sdvZE88AYMG1eyQSuW4Ir11HT8+Yy0LdOkSRIg0WK34UmF1OyZgArkIbLQRPKg0yKHphsIjumaqnn3+OfznP3DVVaAAlZZMwrBqHu+1F6jWh80ETKCBCejDQsXRpZrmMgm9UlP9YdHAJ4mHXnUCKhTzwANw773w8MOgEM98bbnlgsKJG2wA/fuXIM9Wvh17v3QClRJA1GcS5gcOktAB9AWU1E6Ch3IfXpSAiblmJ18BJDo2CcMIokaWA3oD3wLPhH1kpN+qhbMhGRSEXycUPLZPwEO14HchPloAKYRWvPdVIZ6tCXLOqbKbkjJLrbMVR8ACSHHcfJQJlJ+AClW+nlbITuEP++9f/n5roId33oGhQ3PX9xQi5cBvd37dGuBgF03ABMpIYOzYINIjvYr4ddfBjjuWsdOWm9bi7TPOCOoXt1YYd8UVgzRXyqIoYdhmAiZgAtMJSMDVSpGvvmoOZc45AxFkiy0MzARMoFIEtKpBgsc99wQRH+m/OVrzQWmsVLhcuS21WGPeeSvlsftphUAlBRBPRHEEkkGtkp7AwQm4sLhW4n2UBZB4z0/knZY23wRoybPy2o3Lcvt44Lis51SIR2qkjrMVTsACSOHMfIQJVIbATjvB9den+tIy3ssuq0zfNdDLDz8EkSCPP97c2YEDg7qfc8xRAwOxiyZgAvEkcO65gZIQWffuIFFE0XkVtFGj4LTTgnsjLZkyc22ySeCu0nu7nmkFJ8hdmUCtEVDB5P32g5uV3j2H/e1vcNFFLq5Wa/Nqf2uDgHL6vvFG8KUu4SN9sVtbI1C9Hgke2tZaC5Tj0hYrAhZAYjUdOZ1Jwi+Afsz3S8Cr8fe4cA8tgBTOrBpHnAn8A7gX2DzLARXa0VLoaC6V/KRHuI8SACwBfFENp2u8TwsgNT6Bdr+OCZx5Zmah3dVWC4re2aYT0CroI44A3afMNi2EUnH0lVYyMBMwARMogkB2FJ5E6WuvLaKhwg/R/ZHHHguEj1wib9SiisAqIEWfg4svXng/PsIETKCBCdxyC+yzT+4iQqoNcvbZQbSIFdUGPkk89JIQmDwZnnkmEDy0KeojH9N7b5VVUqKH0lz5/ZgPuartYwGkaujz7jgZiB5K5zUoEaTyqjuzAFIbU6r8casABwD/l+Wy/t87jApZD3gJ6A88EOahk3hydG0MM1ZeWgCJ1XTYGRNII6BiF8rlGpkK2o0b5x++OU4SBcrsuWdmyRTtNsMMQeH0PfYwNr+3TMAECiDw5pugGw3p9uijQbqJMtq0acGiUAkfL7/cckddCz1c/gAAIABJREFUuwa1PRTx4dqmZZwQN20C9U5AqbD23jsotJzLVPdI0ccLLljvJDw+EygtAdXvUB0Pfamrrocir/IxpbZad13YdNMgtZVS09lqhoAFkPhPVRKOAE4HTk3Av+LvceEeWgApnFk1jlBNj/mAwcDTWQ4ouqOPTlLg2LTXTiI4aV9RCFM1nK7xPi2A1PgE2v06JvDll83vbGnFkO925Zx03SzcfHMYM6b5yzvvDP/3f44Ur+N3i4dmAqUlcPjhQaXxyFQL5LPPoGPH0vYTtqaU37fdBqecAqr10ZJpUbbqHB14IMw+e1lccaMmYAKNRkAhZ7feCgccAMovmm26IXv00UGomR7bTMAEchP49lu4//5A9NCiiUnK7J6HzTprEOWx2WYwZAgo5aatJglYAIn/tCWD9Fcjgb+EUSCtLDmK/3hyeWgBpDbmbQKgX1Wq/5Fe2FxLTkYDSUA37F9LG846wAiCPG4z18YwY+WlBZBYTYedMYE0ArognXlm+EUfb6FpBVF6VIiBZRDQdYcK/yrKPNuWXRbuvBMWXtjQTMAETKAVAsqtpxx6qvcR2VFHBWEZJTZ1pSw0Ej4++KDlxueaK4j2+PvfQcGANhMwARMoOQGJHwcfDDfemLvphRYKwmo32KDkXbtBE6hZAvryjoqYjxwJun7LxxZYIBA8FOmx+uqgnJa2midgAaQ2pjAZLLy/C1gSUDLtW4EPE/BHbYygdS8tgNTGLE5UxhKpcGTmYtsZuCZMfzVL1lCWJ8jhNjk8tjZGGh8vLYDEZy7siQk0J/DXv2bW/Tj99My6IGbWjIDS7B55ZO66ILpxqBT+ut6wmYAJmEBOAsOHN7/B9847sKSukUpjEj50j/Hf/4aPPmq5TWWd0aJrRbF54XVp2LsVEzCBNghosY3SYuUKqdWh+hGl4mt/0eJZmwk0GAHlqhw1KlXE/P338wegwoQSPPQeWnpp5+fNn1zN7GkBpGamSqvrlwIeB2YrwOtkAmKvVloAKWBGq7hrlAJLtT6uSPPjJmBb4EFg4yz/Vg/Fku+Auaroe612bQGkVmfOfjcGAV2AKvdyZDvsACp4YWuTwO23w267gVLwZts//gGnngqdO7fZjHcwARNoNALDhsHNN6dGvfLK8JJKz7XfJNDqI1zCxyeftNzeMssEGWcU0eZFoe3n7hZMwAQKJPDrr/Cvf8HFF4Nu+GabChHpQ+qww5xftEC03r0GCSiV1eOPB6LHffdlRoi2Nhx9gQ8aFAgem2wSRJfa6pqABZDamN4kHAQo120HoBC9QAJIefLhlhBdIQMqYbduqkACutrcJkxxJWFD4UdaWvJOmBrrUOD8rDZ3Aa4OU2YpGsRWGAELIIXx8t4mUFkCuvBUwvfIVJT39dcr60MN96ao9C22AC3ezrZVVw3ucSoC3WYCJmACTQR0008FR/9Ii4C/4IIgN3477M8/g+gzCa8qJdKSLb88HHdcsEC0gy7JbCZgAiZQTQL6zbnffvD887m96NMnUHR33NEfWtWcJ/ddegLjxgXFy5Xe6qGHcq+oytXrTDMF6Yr1Ra6/Kt5laxgCFkDiP9VJ2BD4X+ipFP5ngTfCjEM5FP/MMSXgxLiP0gJI3Gco8C+q56HEiVoXp8LmSoc1B6D0WLpN9X3WUCR+SAS5E9iqNoYZKy8tgMRqOuyMCWQReOqpYOVQZF26wIQJXhJcwIkiXHvtBTcpljDLevWCq64KRBKbCZiACTSpFLvoZ2VoWr359ddFVxzXotFrrgnKh3zxRct8V1wRjj8ehg51RgyfhSZgAjEjoAiQ664L8vF9n30pHvoq9fbss2GttWLmvN0xgQIIfPppEOGh7emnQfkq8zEV6opSWw0eDDMoq7utEQlYAIn/rCfhCWBN4CtgwwS8FX+vC/PQAkhhvKq59wVAtNxZQkg0dwcCF2U5poLpOmklqx8MXFhNx2u0bwsgNTpxdrtBCPz4I8yWlZby3XdhiSUaBEBphql6hJdcAoccAlqJnW377APnnOMc+6Wh7VZMoIYJrLcejBiRGsDGG8P99xc8IH3OSPjQwugvv2z58H79AuFDi0QTvlopmLMPMAETqCCBn3+GY48NflDlSoslVzbaCM48s6Q1kyo4QnfVaAR0Hr/yShDlIdHjrQLug+paLBI99GXusM1GO3tyjtcCSPxPgyT8GN5D3iMR1JquO/MlRW1NqcrTKppDNT2+Aa4D0q5Gpw9G6bLOBtWvYQ2glaQCtQWggt5aAKkgbHdlAkURmGce+EYfhaHddluQGN5WMIFXX4VttoHRo5sfuuyycOutsPjiBTfrA0zABOqBwLffgj5v02/sKU/etipDl59FNT5OPrn1VFf9+wfCh/QWCx/5sfVeJmACMSHwxhugYmqPPprbId0I3n77IJ/fwgvHxGm7YQIhAaW4VD0PiR5a4JB+jdUaJH1ZDxgQ1POQ8LHookZqAs0IWACJ/0mRhHFAD2DlBLwWf48L99ACSOHMfERjELAA0hjz7FHWMoHsFcm6oDwx9qknY0tcKf4V8ZErJVa3bnDuubDnnr4pGdsJtGMmUC4CF14IByrgOLTu3UGiiP62YcqSoc+Uk06Cjz9ueefVVw+Ej3XW8WdMW0z9ugmYQIwJKLR2+PBACFFkci7r2BF22imIGnHBtRhPZgO49v/s3QeUZEW9x/FvL2lZcs4ZRHKSDCIgiICAqEiWIIugyCODICzqAyUoSpCkRJEggiQfOcOSc85LhiXnsPQ7f243d2Z2Qs9Md88N3zqnz+zO3Fu36lN3Z2f6d6tq7NhkP4+Y5XH55clywo2UWMoq/sOO0CPWqIw9wiwK9CJgAJL926MKdwBLA2tV4Jrst7j/LTQA6b+ZZ5RDwACkHONsL/MssMceyfpM9fL978O//53nHg152+P39lieJvaX/+ij8ZsTv+OcfDLMGDtQWRRQoBwC8WTn6NFpX+MJ5jPP7LXv48ZBTMqLTPqxx3o+dNVVYdQoiKXBnfFRjtvJXipQCoFIf//+9yTkeO217rsceylttx3svz/MOWcpWOxkBgSeeCJd2urmm3tetq1rU2Pp4Vj+MmZ5rLVWQw9BZKC3NiEjAgYgGRmIXppRhd2BI2KLhQp0ePIp+21vtIUGII1KZfO4GL/Y5yNKTFeKJa8szREwAGmOo7Uo0DqBeKc+fnGslwUWgMcfb931SlRzPLQYS2I9+OD4nY7wI+hjbX6LAgoUXODpp2G++Tp3Mp4W7eEbQKySdf75SajR08PPUdlKK0Esh2XwUfD7x+4pUHaB996Dww9PptG+/373GhNNBFtumcwaWXjhsovZ/2YLRBh3661wySXJTI9HH238CrGcVQQeG2yQLHMVs5csCgxAwABkAGhtPqUKEwE3AksBP6xA/zf7a3Ob+3s5A5D+ig398bGo4k7At4FYkX1YrUlfAPG/2ZXA8YDvAg5urAxABufn2Qq0XuDOOyE216uXeHw4frmM9ZosgxaIGSAxySb29Oyu7Lxz8ju93IOmtgIFsisQu5UfcEDavummS9YFjzfsOpSYPRbLhscyVvff33N3llsuWQ5r7bWd8ZHdQbdlCijQdIFYaih+aDrmGPjww56rj6m2e+8Nq6zS9CZYYYkEYpnKWIrtssuSpa3eeaexzsfvUvGEQj30WHDBxs7zKAX6EDAAyf4tUoWYijgVcCIQb7KcU3vFe8u9/MeV9K0CY7LeSwOQrI9Q5/b9FtgHiOi9p7GLWSDjgN8DB+are5lqrQFIpobDxijQjUD8Ajn55BDvvNVLhCLLLCNXEwXiYe+YaNPdCg7xe9Fpp8HyyzfxglalgALZEIjvrYssAo88krYnNgo67riv/h6HxPsrsQXT3Xf33Oyll06Cj5g44lJX2RheW6GAAkMgEG9M/+EPydMlsel0TyXehI4gJJYc8qn7IRionF0y1p2M34HiP+R4xZ8bLfEkUzyVEKHHeuvBDDM0eqbHKdCwgAFIw1RDdmAV4qH6+hsr8X5zf1YYqlZgwiFrfIMXNgBpECoDh8VC97t2CD6eAG4DXqm1bWZgOSBmiESJm/XPJOu4WfovYADSfzPPUKD9ArHs1ZNPpteNtZm22ab97Sj4FSP82H77ZPZ81zJsWPI7eix5E3siWhRQoCAC990HSy7ZuTM33vjlk8kRfFxxRRJ83H57z/1dfPFkH5B4X8XgoyD3hd1QQIHBC7z0Ehx6KJx0EnzySc/1zT03/OxnyZMovjE9ePci1fDGG8l/xBF4xGyPmGXUaJl55mTz8ljaas01YdJJGz3T4xQYkIAByIDY2npSLQAZ6DUjAMn8GnkGIAMd3vaetyJwcy3UiK0kfwbc0EMTVgViwZJYQDRCkJWBDjtXtrfhOb6aAUiOB8+ml0ggNj6/8MK0w7Fm0xGxd5el2QLxhueJJ8Juu3W/QXo8KH7qqfCN+O5pUUCB/Avssw8cdljajznnpPr0M1x7/bAvg4/YO7WnEsvYR/Cx8cYQIalFAQUUUKAbgZgREstiHXssvPVWz0QTT5xszhbrj8a0WxPl8t1OEZSNHg1XXZW84umD2Hir0bLEEsk0zHgiIZYQ9j/nRuU8rgkCBiBNQGxxFVX4yWAuUYHTBnN+O841AGmH8uCvETfSVsCzwNK1Dc97q3Ua4C5gLuBMBnkjD775uazBACSXw2ajSycQ78LFTrr1stZaydNQlpYJPPZYsldnd7PrY5WGffeFX//a2SAtGwArVqAdAvGmyjzzwJh0Od/nN9ubrV76A9df33MDYr/UmA22ySau2tKOYfIaCihQEIHYw+5vf4M//rHT991ue7fUUsm03E03hdiXyVJMgfh/+IEH0sDjhht63z+mq8IUU0D8XhShxzrrwGyzFdPJXuVCwAAkF8NU+EYagORjiJ8h2ZAmNj+PDWkaKSNrm6FHaDJvIyd4TCcBAxBvCAXyIHDeeck7bfUy44wQT9NZWirw+efJg+HxRudnn41/qcUWS36P77hHfUsbZOUKKNBcgZtuglVjUnFaluBe7meJbq8z33zJBuibbQYTZn4F4OZSWZsCCijQNIH4oercc+HII+Gee3qvdqKJkj1Ctt46eZM7ZolY8i0QDx3E7I4rr4Srr4bXX+9ff2L6ZdwL8Vp5Ze+J/ul5dAsFDEBaiGvVDQsYgDRMNaQHfgjEyuqxx0fM7GikxC7AdwCxu9qIRk7o5zExu+SXwHrAHEAsXvoUcC5wLBBtbnaZBXgYmLpWcTyD+K1mX6RWnwFIi2CtVoGmCjz+OMRO3B3Lyy9DrG1rabnA/fcnW6509zt6zKzfdddk4+PYq96igAI5EohlVmKT3lp5iIVZlAc7bEWXfCGWp48ZX1ttBfFenEUBBRRQoAkCse7obbfBccfBOefAp5/2XmnMBIkEOl4rrODyRk0YgrZUEYFHPHAQ+2tF4PFEbPPajxJ7d8QeHhF4fPe7yX/KFgUyKGAAksFBKWGTDEDyMehvA1MAq/ey90fXnsRjexEQvNshMGhWb79XW1pryh4qfLwWjHTYmbgpl/4X8IMONRmANIXVShTIscC4cTDllJ2nhMdGgN/5To47la+mx8OKsY9nrEQWM0O6lrnmguOPT2bfWxRQIPsCd43+jPm/OQtTffbGV43dn99xCPt/9fc55oADDkgCUB86zv6Y2kIFFMixQMwC+Pvfkx+mno3FHfoos8wCsUdebMK02mpOy+vLq11fj99ZHnooCTzqr+ef79/VY++XWALt299Ogo9vfhOGD+9fHR6twBAIGIAMAbqXHE/AACQfN0XMf10cOBLYu8Em/wHYC7i3tm9Ig6f1edhStQ3ZJwXeBw4FrgXi75sCO9RqiBAkZlG812eNjR0QoctFwGvAjLVTDEAas/MoBYotEE+6xVNy9fKHP8DejX6rLDZNO3t3773Jm6H33df9VTffHP70J4hVyiwKKJA9gZjJ9eWydhddxmVfTvBNy7w8xTPMy6yzwn77wQ47uM9P9kbQFimgQKEF4g30yy+H00+HCy+E2BS7rzLttMmm1xtsAGuskTw0ZGmPwMcfJxuV18OOW26Bd97p/7XnnTcJPOK1+uow/fT9r8MzFBhiAQOQIR6Afl6+mjyA/234cu3b+KYT7/f2lh9UK7B9Py/T9sMNQNpOPqALHgLsW1tm6rvAdX3U8k3gciAWAo2A4oABXbX7k24AYnZJPOcb17m1y2ERuhxW+9zBwKgmXDsWT4mlr2Kpra2B02t1GoA0AdcqFMi9wI47wokdtkeKd9r/8Y/cdyuPHYjZIEccAQcf3P3v5fF7eOwdsu22rs6Qx/G1zcUUiD1WI/j497+T/p3BlmxJ+j30VlZg45lv/TL4GDnSh02LeRfYKwUUyJXA229D7IMXYUi8wd5IiQ2aVlwxmSW99tqwzDL+MNaIWyPHxJJlTz4Jd9wBd94Jo0fDXXf1vXRZd3XHD8sxuyM2MI+PEYBYFMi5gAFIPgawCsOAXwN7AJM12OrIFSIAmaDB44fsMAOQIaPv14VnAGI5qQgCIniIRZn/DtzfpZaYJbId8LNa+BHLX80PjO3X1Xo+OPYgqT9mfULtOl2Pjn8wsUj0QkAs3RXP+nazRW6/WvQXYJfaTJM14h9X7WwDkH4xerACBRWI9ZF//vO0c4ssAg/GtyHLUAnE1iyRS13XQ1wfv38fe2wyi9+igAJDIxArcURYGe+h1csIPuBVZmJyPvjqc9ds9BdW+McujGjFjnJD03WvqoACChRH4Kmn4Mwzk2/m8Y290RL7hsSskNgse5VVYIklXC6rEbsvvoAwjynPd9+dhh4RSg2kROBRH4OY5bHkkgZTA3H0nEwLGIBkeni+alw1edh8i9psj3FArIcb7+nGe7AvANPU3peOc+Jz8V7zl/s/V2CerPfSACTrI5S2L1ZP/w8QW0zWA4CPajdk/L0+Lal2730ZOmxQmwnSrF7GTJT9apWt0CEM6Vp/zFaJmSdRYiH+KwbRgAhdYpZJBD8R8DxmADIITU9VoIgCN9+c/OJWLxNMAO+/72PKQzzW8TBcLFm9557Q3e+EsUl67LMce4dMPfUQN9bLK1AigUcfhd/8Bs4+G+LfacfyY87mbDZLfxEaNozKSy/BTDOVSMiuKqCAAjkVeOyxZDrf+ecnMxD6UyabDJZfPnkzfqWVkqdUyv69/4034JFHIKZKRuARr/jzB+lDAv0h/vLYeeZJfm+pv77+dQOPfiN6Qt4EDECyP2LV5L3b/9bebz2tNgtkttqD91/N8KjCgsBOQDyB+hSwUQUezX4Pe1/DKw/tL1sblwFOApbso+OxZ8hIoJ8/9fTJWV/+Kv7Hj7erutnu9ss6VgRuqdX2G+CgPmvu/oAJa32I4OO3wIG1w5wBMkBQT1OgkALvvTf+msbxS9/SSxeyu3nr1CuvwK67wrnndt/y2BPk8MNhq60g9na0KKBAawSeeCIJPs46C+IB1u7KxRN9n/U/uzD9UizBccVgnmNpTV+sVQEFFFCgD4HnnoMLLoCLL06Wyfr00/6TzTxzMiOh/opZIvPNBxPFM5kFKeESVk8/DfGEQAQe9VdsQD+YEk/7hFk97IhwabZ4P9GiQLkEDECyP95VOBvYJFb0qSQPn8eT94sAD3S3xFUVYp/mWED3eWCpCgxgk6P2uvhWQ3u9m3W1CBhiQ5pFgWlrlb5ZW3rqqm725WjWdeMngJhpElvc9hbCxLSoaE+UWFgh/hENpNRnksTyX4sBH9cqMQAZiKbnKFBkgfhlLH5xqZeYehAbTVgyIxD7du6yC8SbsN2VeNjwqKNg2WUz02QbokAhBOJbY8y0OuMMiD10uysxC2u/n7/LXkfMSKXjxrp+Ly3EPWAnFFCg5AIxY+H665NN1OMVM0UGWmKm9dxzwwILwNe+lnyM1xxzwKyzwlRTZeuJlnhQ6sUX4YUXko/xeuaZZBmr+A/y+ed7fiqgv0bxVE/8IBuvFVZI9lxx4/n+Knp8AQUMQLI/qFV4trbv8s4ViC0Peg1Aal8/GYg3XUZVkofWM10MQDI9PJlq3HAgltyKcimwfh+te7+2ac7o2oyQ/nZmvlrSOGk3y2g1IwCZvY8GReIZ/eT2229nWd+R6+/4ebwC7RXYeOPkKbd6iSkH8W66JVMC8b5qzPb43/+Fj+uRdpcWbr01HHKID8hlauBsTC4FYi+eQw/tPfiI92V22w3+539g6kv/AVtumfY1nvB99VWYJp5rsSiggAIKFEYgZjxcfXUyMySWko3/MJpVYsOomOUQYUh8jL1G4v+ReEXaXv9zHDfJJOO/ImCJaYrxitS+/ueYqRFBTtdXBByxVNXYscnH+itmb8QSjvH1VpQIO2J2R2wmXw89Zp89W+FPK/ptnQoMQMAAZABobT6lmuzlMUk8bF+Ba+PyVfg68HBtWawRFfikY7OqEFs1XAbcW4HML79hANLmm6qfl1uP5IaaC5gAeAmILWVjIZHBbizez6YQG7G/VjvpHGDTPip4tbZZTuxEHLM3+luurM1y6e5azQhAuqx63XPzDED6O3Qer8AQCMROvqNGpRf+1rfg2i//37ZkUODZZ5NlsS66qPvGxe/E++4Le+yBGy9ncPxsUrYFHnwwCRlj2bmelrqafPIk9IjwI/Zf/bJssEGyVEq9rLsuXPrlsyAWBRRQQIEiC0RYcMstSRgSr3vvhQ+/3NfWEg8DxEyXCDs6vmJ5MIsCCjQkYADSENOQHtQhAFm6kqz6EwFIrNkXS1zF+6dzV5I/f1WqSehxJ/B2JV2daEj70dvFDUCyOTSx02QswBwbgHdXYmrSRrUZEu3qwRzAmNrFzgC27uPCcWycE5vizN/PRkbdsenOuySJ48tdzjcA6SeohytQeIELL4Tvfz/tZjxdFk+AualEpof+kkuSIKTj6mUdGxwP0sUT7Jtv7v6QmR5IG5cJgbvvht/9rvNkuK4Niz1uYym6CBenj0VN6+Xtt5PNbjuuEX/qqfCTn2SibzZCAQUUUKCNAjHz4sknkyCk/rrnnmRWYFFL/O4QS+outFDyWnjh5OO888KEsTWpRQEFBipgADJQufadV4VngDm7zACJb36xuk9s/LRBpbZKTr1VVYg3YM6P7QoqMKJ9rR3YlQxABubWyrNipkdsIN7XKuivkGxMM7aVjelQd7tmgMSv44/U9hrZBTimm/41IwBxCaw23TheRoG2CMRavvELSscyZkyyHrEl0wKxLNbRRyd7FLwbsXc3JR64+/3v4TvfMdPK9GDauCERGD06CT56m6wRs6p22gn23hti1Y7xyumndw47Jp44eaMrliuxKKCAAgooEAJvvZVs5tb1FU+yxINHWS4RcMSSXPGac84k7IjfHeovl3vM8ujZtpwLGIBkfwCrEGszxCpEv6zAsfUWV+HW2sP5F1Tghx17UoUraiv3PFaBhbLeSwOQ7I3QZsA/alOMYvbEobENBfB5bdPzPYAVal8/DNivTV1o1x4gpwNb1aZRLQ980U3/mhGA9MX2DeCOOMglsPqi8usKZECgWk3eqOv4DnpML1gv/g+35EHgtdfgwAPhpJN6XrYnVjaLIGT5+N/BokDJBWI/2wgOYxn3nsoUU8AvfpEsdTVDPMrSU4nvlZfFEr618r3v9bxGXcnd7b4CCiigQDcCsbnbyy8nm4zH3hv1jxGaxCtmGtb/HB8/+qjzrMNGUYcPh5jOWH/Fmo6xlmPsNRJTG+Nj/TXLLOl+JPEkgEUBBYZEwABkSNj7ddEq7A4cAfynkszs+LJU4efA0bX3oM+sbckwGRDTxL9b+/zhFdi3XxccgoMNQIYAvY9Lxi6+G5JMP1om1lLrcnzMELkKWA14egDLSw2mxzHbZDqS9eCW7KWi2C3zzdrXzwM2afCiswIv1o6NcOeeHs77Z+3zMVPkN7U/h9dtDV6nkcMMQBpR8hgFsiSw6qrJZo71Eovg/+pXWWqhbWlA4P77Yffde39TN/a8j+H9eiySaFGgRAKR9V55ZTLj48Ybe+545MGxx0csd/XVHh89HR5vRMW0kM/jWZtaOeOMzhuil8jYriqggAIKtEkg/lOLpRdjOnD9FZ8bNix5xYbo9Y+xDFWEGPE5iwIK5ErAACT7w1WFeWpbGMRG57Hfx5drHlYhlsEaTbLfR9e9lCNTeC6+VoG3st5LA5DsjVDs7xFrtsTyT8f10Lxv1jZDj5sv1iZ4r03duAFYFfigdt0Ovyl3asGKtWW84pMRUBzUYPvmrgU/DR7e6bDYM2SbgZzYwzkGIE3EtCoF2iIQjzkf+9VsTdhkEzjnnLZc2os0VyB+940JPPvtBw891H3d8fvwFlvAAQcke1NaFCiyQGQT//oXHHEE3HVXzz2Nh19jf4+dd4Ypp2xQ5JRTYLvt0oMnmQRiSlbDFTR4HQ9TQAEFFFBAAQUUKJ2AAUg+hrwK8Z5spMwvVeCjequrEA+5/6X2cHvsBxIl3o+O6eM7VeCFPPTQACR7oxThQiw3FSFCLH3VXYn5m7ERTdxwscF4zH5oRzmkw5JbsQxXTzMuYupTLN0V5Tsk68I1UgxAGlHyGAUU6F4g1k4aOTL92oILwqOPqpVjgdiDMx5Ej6Wxnn+++45EELLllkkQssACOe6sTVegG4H334e//Q3+9Cd4Lp6v6qHEKh977ZV8C4xVQfpV1lkHLr88PWWjjXrfSb1flXuwAgoooIACCiigQJkFDECKMfpVmAKI37hjVsiTlXTln1x00AAke8MUe15EsLEY8HAvzasft2ht0/B29GS5DqHHCcDPurnoMOBBkg1wYvmu2GrzsyY3zj1AmgxqdQoUQuD22ztvDhHvjL/3XjJd3pJrgVhW+rjjkmWv3qwvsNilR7EiQj0ImT8eDbAokGOBV16Bo4+Gv/41WTK9pzLHHLDvvskEjlgWvd8lNq2daSaItLFezjoLNost6SwKKKCAAgoooIACCgyXbMvdAAAgAElEQVROwABkcH6e3RwBA5DmODazlv4GIH0FJc1sW9RVXwYrlr+Kpbhu7XKBvYDYvyPKwcCoLl+PZapO6eXrjbTXAKQRJY9RoGwCH34IsePvF/FttFZuuw2Wi+zWUgSBd96Bww6DP/8ZPoj5kt2UyL1+/GPYZx9YYoki9No+lEngkUfgyCOTmU+xLHpPZb75kuBj661h4okHIXTyybDDDmkFkaK8/jrEprIWBRRQQAEFFFBAAQUGKWAAMkhAT2+KgAFIUxibWknWA5ClgJuBSWvLcMWyWNfW/r4pUF9/5nEg9tHouj+JAUhTbxcrU0CBTgKxK/Zjj6WfOvHEzm/uyVUIgbFjkzeJ4wn5noKQ6Oi66yZvEq+yClT8iacQY1/ETsSeN7Gh+eGHJ3vf9FaWXz5Z6ipWqWrKPrBrrQVXXZVe8gc/SDYbsSiggAIKKKCAAgoo0AQBA5AmILaxiirEyj6r17ZmmBmIJTX2r8DL9WZUIR7BiqWwxlUgNk7PfPHtgOwNUT0A+SvwWi/Ni5kVMROir+OiitiIvJnle8CZQE/ba0b4sV6sCdfNRQ1AmjkS1qWAAp0F4tH/c89NP/fzn8Mxx6hUUIF4UD02hY4hjglAPZUVV0yCkPXXh5ghYlEgCwKffZZstRFhXqzg11vZYAPYc88mh3nxD2jmmTvPmjvnHNhkkyzw2AYFFFBAAQUUUECBAggYgORnEKuwfm3D87m6tHqxSodtGqqwM3B07cH4WSvQw/oM2em7AUh2xqLeknoA0syWTdDMymp1xT+GXWtBx+xALNQQgcd5QLzb2NNbUQYgLRgMq1RAgZrAIYfA/vunHPHofzxabSm0QLyPG0/Pxz4hvc0IiU3Sf/lL2GYbV/gp9A2R8c699hrE5LTjj4cXX+y5sbG0VSxxtcceEJPbml5OOAF+1mE7t9gvKRrX713Um94yK1RAAQUUUEABBRQoiIABSD4GsgqxLu7xQD0rGAtMX9+nuksAEjNAXgGmAn5SSR6Sz3QxAMne8HRYvL4pjYtZIq0IQJrSuAxXEst33RHtu/3221l22WUz3FSbpoACXwlcemnymH+9TDklvP226x+V5BaJDdKPPTbZIyT2du6pTDUVbL89/OIXMM88JcGxm0MuELM8Ytm2mKTW2/4e00wDO++c3J8xQaNlZY014NpYxbRWYuZHzACxKKCAAgoooIACCijQJAEDkCZBtrCaKiwAPFR7/zh+QfhFBR6twlfbNHQMQKIpVTgJ2D5WCKrA1i1sXlOqNgBpCmNTK1mtqbUllV3fgjqLXqUBSNFH2P4VU+CFF2COOTr37emnfZe7mKPdY69iFsjf/54sjzVmTM+dj+WwNtwQYqW01Vd3eayS3SZt6W7ci5EpxGSLvpa5mntu2G032G67NsxQeuUVmG22zstfxd4fsQeIRQEFFFBAAQUUUECBJgkYgDQJsoXVVOE4IKaGPxj7OVeSVX4i5OgtAInQ49QITiqwWAub15SqDUCawmglBRQwACngoNqlEgjEbsLTTw8xFaBeYpH92DHYUjqB2GPh7LOT5bEeeKD37s8/P4wcmSyPNcMMpaOyw00WuPfeZJmrM8+E997rvfLYo2bXXZPsYcLYSrAdJdaLi+SvXmLZq1hLbtJJ23F1r6GAAgoooIACCihQEgEDkOwPdBUeJZkFskMF/l5vcR8ByErATcC7FZg66700AMn6CNm+oRIwABkqea+rwGAFui7rMmoUHHTQYGv1/BwLRC4WK/3E0lgXXwzx955K7Luw8caw446w2mqunpbjYW970yPoiOWtYrbHHV8uotlzmWQS2GyzZJmrZZZpe1OTKU/XXZdeOBpz1llD0BAvqYACCiiggAIKKFBkAQOQ7I9uFd4H4kmo5SpwV73FfQQgSwD3AJ9XIPYEyXQxAMn08Ni4IRQwABlCfC+twKAEYg2Zo45Kq/j+9+Hf/x5UlZ5cHIGnnkr2YYglsvp6Mn+++ZJNqLfcEuadtzgG9qR5AuPGwTXXwGmnJd9mPvqo97pjhb7Y3+OnP00mqw1JiY3OZ5ml8/JX0fj4XmlRQAEFFFBAAQUUUKCJAgYgTcRsUVVViDnrI4BvVeDG+mX6CEDWAK4C3qhA5tdQMABp0c1jtbkXMADJ/RDagdIKnHoqbLtt2v145zre9bYo0EHg3XchbpV4Wv/hh/umWXXVJAz50Y8gNlG3lFvg0UeT0COWuIqth3orlQqsuy7ssAOst14bl7nqqVGxNldMcaoXl78q981s7xVQQAEFFFBAgRYKGIC0ELdJVXdYAmu7CpxWr7aPAORAYBRwRwWWb1JTWlaNAUjLaK045wIGIDkfQJtfYoF77oGll+4M8M47MOWUJUax6z0JxHJYt9ySBCGxfNEnn/RuNXw4fO97sMkmyZvaI+I5GUspBJ55JrlH4nX33X13OfYY33775DXnnH0f37YjvvMduOKK9HKR6kWnLAoooIACCiiggAIKNFnAAKTJoC2orgrHAyOB6yoQMzu+LD0FIFWIRwIfAWYCDqvAfi1oVlOrNABpKqeVFUjAAKRAg2lXSiYQ72DHE82xNk293HQTrLxyySDsbn8F3nwTTj892bz6kfhxro8S4UeEIfH+8Xe/axjSl1cevz5mDJx3HpxzTt/7ekT/JpgguRditkcEZG3b1LxR3LjJZ5oJPv88PePss+HHP260Bo9TQAEFFFBAAQUUUKBhAQOQhqmG7MAqLAXcWWvA9hU4Nf7cXQBShemAfwGrAZ8BX6vAc0PW+AYvbADSIJSHlU7AAKR0Q26HCyWw6KLw0ENpl449Nll436JAAwIxKyQ2sY4w5J//hHjPuK8SmVssbxSBSLwBPl38WGjJnUCM/QMPwEUXJa++NjOvd3DJJeEnP4HNN4cZZ8xwt7suERhTmmJPkCmmyHCjbZoCCiiggAIKKKBAXgUMQPIxclX4I/A/Se7xZcBxPnB27e+xfu6HQDxVujlQX17joAr8Lg89NADJwyjZxqEQMAAZCnWvqUCzBLbYAs46K61t5MhkjSOLAv0U+PRTuPTSJAyJj5/FMy59lGHDkglHEYbEa8EFIfaBsGRTIMb4xhvT0OPZZxtrZ0ykiG81EXwsvnhj5wz5UXFDXnJJ2owNN4QLLxzyZtkABRRQQAEFFFBAgWIKGIDkY1yrEL+xHgPsVAs9emp4/Tfboyqwez56l3TOooAC4wsYgHhXKJBngcMOg332SXuw/PIwenSee2TbMyAwdiz8+9/JdgnXXgtffNFYo+abD9ZeG779bVhjDZh66sbO86jWCMQsj8ceS7bBuPJKuO46eP/9xq4VM3t+8INkxajVVkuWvMpNefddmGEGiMSnXiLZ22qr3HTBhiqggAIKKKCAAgrkS8AAJF/jVYW1gH1rS1wN69L6mB0Sb6z8rgL/zVPPDEDyNFq2tZ0CBiDt1PZaCjRbIN7ZjI1+62XSSeG993L2bmWzUayvmQKxatAFFyRhSLyB3mgYErNDvvENWGutJBCJbC5uT0trBZ5/PpnlcfXVSfDxwguNX2+aaWDjjZON71dfHSaaqPFzM3VkzIqLKSv1Eh2JG9lELlPDZGMUUEABBRRQQIEiCRiA5HM0qxBr5MbeILHAbzz29QZwbwXG5rFHBiB5HDXb3A4BA5B2KHsNBVolEG/qxfo0HUvsCbLwwq26ovWWWODVV+E//4GLL4arroKPP24cI96DXmYZWGWV5LXSSslD+paBC8QMj0cfTQKP+uu5fm7LN9dcEKtDbbABrLoqTDzxwNuTmTNj6kpMYaqX2Kzmsssy0zwbooACCiiggAIKKFA8AQOQ4o1pHntkAJLHUbPN7RAwAGmHstdQoJUCc8zR+THvM86ALbds5RWtWwE+/DCZZRBhSGy18PLL/UeJPUOWWy4JRuIVG2xPPnn/6ynDGRF2vPQS3HlnsmF5fIzXG/F8Uj/LsssmgUcEH4suWrB9Wz74IEnWPvooVTn5ZNh++34qebgCCiiggAIKKKCAAo0LGIA0buWRrRMwAGmdrTXnW8AAJN/jZ+sVSN7FvOiiVGK33eCPf1RGgbYJxLJY996b7DMRM0NiNsInn/T/8rGB+kILJWFIbLa9yCLJKzK+Mm2uHjNrYu+OBx9MXg88AHfdBa+80n/TOGO22ZKlyGJ/ljXXhBljcndRy7/+BT/6Udq72Lwk4Kafvqg9tl8KKKCAAgoooIACGRAwAMnAIDShCVWYBpgQGFuB2AskV8UAJFfDZWPbKGAA0kZsL6VASwQOPhhGjUqrjh2LY7MGiwJDJBAP3998cxKGRCgS4Uije4d01+SYFRKrusXr61+HeedNX7FvRR7LuHHJxK2nnkpfTzwBsYJdfByMV2x1EcuMxd4rEXxEqFSaAGmzzeDss9NbIhKfuBEtCiiggAIKKKCAAgq0UMAApIW4g6y6mgQaXwcmAcZU4PWOVVZhOPArYDtgltrXYkr5/wEHVeChQTahbacbgLSN2gvlTMAAJGcDZnMVGE8g1iCK9WzqZcop4a23IHahtiiQAYF334XRo5NQ5Kabkj/HElrNKPFm/zzzwNxzwyyzJK9ZZ03/PPPMECHJJPGjbhtKBBfR3/gnGFv0vPhisnRV/WP8ecwYePZZ+PTT5jRo9tmT/TviFcFHzJop5T//mDoTy1+9/34Ke9xxsNNOzYG2FgUUUEABBRRQQAEFehAwAMnerVGFyAMOBn5Jstl5vdwK7FaBO6oQuyBeCaxS+2LHDCFmgMTOlxtU4Ors9XD8FhmA5GGUbONQCBiADIW611SgmQLxzmq8A9qxxCPk88/fzKtYlwJNE/jss2RWyO23J/tYxPJODz8MMSuiVWXSSSHCkghD4jXVVBCfGz688yuCkggPYs+NKB0/xrJeMbul6ysCjzffTF4RfAxm9kZf/Y988xvfSF6xl0e85pyzRDM8egPqGgbHtJdInCIFsyiggAIKKKCAAgoo0EIBA5AW4g6w6iqcCmxVO71rNvAWsDywM/A/tWPeBJ6oLYG1MDBp7fOvAQtW4J0BNqVtpxmAtI3aC+VMwAAkZwNmcxUYTyDeoY03+OJx83o55xzYZBOxFMiNQIQK992XhCH33JMEIrEcVIQLZS1zzZVsUh6vxRZLwo7INUs5u6ORm+AnP4HTT0+PjCkxN9zQyJkeo4ACCiiggAIKKKDAoAQMQAbF1/STq7A6yayNeLQtdqi8FHgGmAtYn2TZq+OBzYDJgJ8Df6vv+1FNwo+YPbJnrY7dK/Dnpje0yRUagDQZ1OoKI2AAUpihtCOlFvjud+H/YnnKWtlnH/j970tNYufzLxDZXjzAH0FIvCIUefrp5PX8862dMdIuvdjfZL75klfsbRL7dcQSVrHfyRQdJ2m3q0F5vU6sJzbTTPD222kPjjoKdt01rz2y3QoooIACCiiggAI5EjAAydZgVSGejNoSeBVYowKP1FtYTfYDuQaYAYi1ww+vwL7d9aAK/wW+A1xVgbWz1cvxW2MAkvURsn1DJWAAMlTyXleBZgrsvz8cckhaY+x8fMUVzbyCdSmQKYFYRitCkHogEhuKv/xy8orQJD7GpKhWLkfVF8jEEyf7kcRrttk6f4ywI0KP2LKiNBuU9wU2mK9ffjmss07nGmKzlTnmGEytnquAAgoooIACCiigQEMCBiANMbXtoCo8BsS64PtV4LCuF67CXsAfarM7Fu9po/MqbAqcBbxcgdna1oEBXsgAZIBwnlZ4AQOQwg+xHSyFwPnnww9/mHZ1uung9dd9Z7UUg28nexL4/PNkX46YFBB7c9Rf8fd33oHYM7u7V72+ejBR/xiBRuwbMmJE8rH+ipka006bvGJ/kfqfJ5vMf4Jtuzt32AFOPjm93PLLw+jRbbu8F1JAAQUUUEABBRQot4ABSLbGvwrvASOAb1Xgxm4CkNj0PNbLjSWyRlSSZbLGK1VYBrgjltGqpHuCZKuzHVpjAJLZobFhQyxgADLEA+DlFWiKwDPPJOvndCzPPZfsjmxRQAEFiiwwbhzMMksS+tbL4YfDnrFcr0UBBRRQQAEFFFBAgdYLGIC03rg/V6jCF73N7qjCosD9cUwFJuip7iosAjzQ13H9aVsrjzUAaaWudedZwAAkz6Nn2xWoC8RmCfHYecf17y+4ADbaSCMFFFCg2AKx0flqq3Xu41NPjR8KF1vB3imggAIKKKCAAgoMoYAByBDid3PpDgHIYhV4uOshjQYbjR6Xld4bgGRlJGxH1gQMQLI2IrZHgYEKrLkmXBP7eNXKr38Nv/nNQGvzPAUUUCAfArvvDn/6U9rWxReH++7LR9ttpQIKKKCAAgoooEAhBAxAsjWMBiDZGg9bo8BQCxiADPUIeH0FmiWw115wxBFpbeutB5dc0qzarUcBBRTInkDMfovl/559Nm3bQQfBqFHZa6stUkABBRRQQAEFFCisgAFItobWACRb42FrFBhqAQOQoR4Br69AswTOOgu22CKtLdbEf+mlZtVuPQoooED2BO69F5ZaqnO74nNLLJG9ttoiBRRQQAEFFFBAgcIKGIBka2g7BCB/BV7rpnUzAjvX9gk5uJfWf3Vcb3uFZKX3LoGVlZGwHVkTMADJ2ojYHgUGKvDoo7DQQp3PfvllmHnmgdboeQoooEC2BWK2R8el/uaeG55+Gir+6J/tgbN1CiiggAIKKKBAsQQMQLI1nh0CkGY0LH656HWz9GZcpBl1+FtQMxSto4gCBiBFHFX7VE6BceNgqqnggw/S/l92GXz3u+X0sNcKKFB8gZjpcf/9aT932w3++Mfi99seKqCAAgoooIACCmRKwAAkU8NBLQBpZqMMQJqpaV0KtFnAAKTN4F5OgZYKrLIK3Hxzeonf/Q7237+ll7RyBRRQYEgEYqbHfPN1vvQNN8Cqqw5Jc7yoAgoooIACCiigQHkFDECyNfZVWK3ZLarA9c2us9n1OQOk2aLWVxQBA5CijKT9UCAEfvlLOPro1GLjjeH887VRQAEFiidw5JGw555pv2aYAWLZvwkmKF5f7ZECCiiggAIKKKBApgUMQDI9PKVpnAFIaYbajvZTwACkn2AerkCmBU49FbbdNm1irIf/zDOZbrKNU0ABBQYk0HXG209/CiedNKCqPEkBBRRQQAEFFFBAgcEIGIAMRs9zmyVgANIsSespmoABSNFG1P6UWyDWwo818TuWN96Aaactt4u9V0CBYgm8+irMMgtUq2m/LrkE1luvWP20NwoooIACCiiggAK5EDAAycUwFb6RBiCFH2I7OEABA5ABwnmaApkU+OwzmGIK+OSTtHlXXQVrrpnJ5tooBRRQYEACMdNj5Mj01Mknh9dfh+HDB1SdJymggAIKKKCAAgooMBgBA5DB6HluswQMQJolaT1FEzAAKdqI2h8FllsO7rgjdTjsMNhrL10UUECB4gisuy78979pfzbZBM45pzj9sycKKKCAAgoooIACuRIwAMnVcBW2sQYghR1aOzZIAQOQQQJ6ugKZE/jZz+CEE9Jmbbop/POfmWumDVJAAQUGJPDuuxAbnn/6aXp6fI+L73UWBRRQQAEFFFBAAQWGQMAAZAjQveR4AgYg3hQKdC9gAOKdoUDRBE48EXbcMe3V174Gjz1WtF7aHwUUKKtAzPToGHZMNFGy/NVUU5VVxH4roIACCiiggAIKDLGAAcgQD4CX/1LAAMQbQQEDEO8BBcohcOedsOyynfv6zjsw5ZTl6L+9VECBYgtE+NFxuat11um8HFaxe2/vFFBAAQUUUEABBTIoYACSwUEpYZMMQEo46Ha5IQFngDTE5EEK5Ejg44+TjdA//zxt9A03wKqr5qgTNlUBBRToRuCTT5Llr957L/1iLPnXcUN04RRQQAEFFFBAAQUUaLOAAUibwb1ctwIGIN4YCnQvYADinaFAEQWWXBLuuy/t2VFHwa67FrGn9kkBBcokEBufxwbo9VKpwEsvwcwzl0nBviqggAIKKKCAAgpkTMAAJGMDUtLmGICUdODtdp8CBiB9EnmAAjkU2G47OOWUtOFbbw2nnZbDjthkBRRQoINAzPQ46aT0EyutBDffLJECCiiggAIKKKCAAkMqYAAypPxevCZgAOKtoED3AgYg3hkKFFHgmGNgl13Sni26KDzwQBF7ap8UUKAsAuPGwayzwmuvpT0+/HDYc8+yCNhPBRRQQAEFFFBAgYwKGIBkdGBK1iwDkJINuN1tWMAApGEqD1QgRwLxRPQqq6QNHjYsWTN/xIgcdcKmKqCAAh0EbrkFVl65M8kTT8D888ukgAIKKKCAAgoooMCQChQhAKlCvGHwC+BHwHzAJMDzwKXAXyrw3GCRqxA/vC8LLFd7LQVMWqt32wqcOthrlPl8A5Ayj759703AAMT7Q4EiCrz/Pkw1FXzxRdq7CEViuRiLAgookEeBffaBww5LW+7MtjyOom1WQAEFFFBAAQUKKZD3AKQWTFwGLNDDAL0LbFGBSwY6gFVYDbiul/MNQAaKWzvPAGSQgJ5eWAEDkMIOrR0rvcBii8GDD6YMboRe+ltCAAVyLbDQQvDoo2kXfvUr+N//zXWXbLwCCiiggAIKKKBAMQTyHIBUYQrgTuBrtdGITffOBj4CVgf2AyYHPgRWrsC9Axm1KnwLuLZ2bjyt+QjwQW0mSHzaAGQgsB3OMQAZJKCnF1bAAKSwQ2vHSi/QdSP0zTeHf/yj9CwCKKBADgUefxwWXLBzw2+7DZaLmfMWBRRQQAEFFFBAAQWGViDnAchvgF/XBPeuwOEdNasQS0lcD0wYHytJkNHvUk1ml2wI3AHcVYH3q7ANcEqtMgOQfqt2PsEAZJCAnl5YAQOQwg6tHSu9wPHHw047pQwLLADxJqJFAQUUyJtAbHa+995pq2eZBV54AWJ/I4sCCiiggAIKKKCAAkMskNcApAoTAa8DU9VmZCxagQ5raSewVTge2LHGvFwlCTEGXQxABk3YqQIDkOZ6WltxBAxAijOW9kSBzgJ33QXfiH/iHcqbb8I00yilgAIK5Etg1VXhppvSNo8cCSeckK8+2FoFFFBAAQUUUECBwgrkOABZG7i8NjD7VuAP3Q1SFVYAbq197dAK/KoZg2kA0gzFtA4DkOZ6WltxBAxAijOW9kSBzgKffgpTTAHxsV6uuALWWkspBRRQID8Cr78OM88MX3R4EO3SS2HddfPTB1uqgAIKKKCAAgooUGiBHAcgHZe/WrECo3sIQGL5q3eAEcANlWRD80EXA5BBE3aqwACkuZ7WVhwBA5DijKU9UWB8gRVWgFgnv15iw+DYONiigAIK5EXglFMg9jSql8kmg7FjYfjwvPTAdiqggAIKKKCAAgoUXCDHAci/gB/UhmeaCrzd01BV4T5g8VgyqwIzNmNIDUCaoZjWYQDSXE9rK46AAUhxxtKeKDC+wC67wDHHpJ/fcEO48EKlFFBAgfwIbLQR/Oc/aXs33hjOPz8/7belCiiggAIKKKCAAoUX6BKArAfc30enX8gCSjWZ8bE88EEFJu+tTVW4BIi+RRlegU8G2wcDkMEKdj7fAKS5ntZWHAEDkOKMpT1RYHyBM86ArbdOPz/rrPDii0opoIAC+RD46COYbjqIj/Vy2mmdv6/loye2UgEFFFBAAQUUUKDAAl0CkEZ6mon3qqvwELAw8GoFZu6t4VU4B9ikdsz0FXijkY72Uec2wCm1Y7atwKmDrbPM52fipirzANj3zAoYgGR2aGyYAk0QePRRWGihzhW98ALMNlsTKrcKBRRQoMUCF18MG2yQXmTYMHjttSQUsSiggAIKKKCAAgookBGBHAcgTwHzAs9XYM4+worTga1qx8xRgUHPYnEGSHNvYAOQ5npaW3EEDECKM5b2RIHxBWLT4GmmgXffTb92wQUQS8pYFFBAgawL/PSn8Le/pa385jfh+uuz3mrbp4ACCiiggAIKKFAygVYvgVWFahNIx5th4QyQJqhmqAoDkAwNhk3JlIABSKaGw8Yo0AKBNdeEa65JK45N0GMzdIsCCiiQZYEIcGeZJZnxUS9HHgm7757lVts2BRRQQAEFFFBAgRIKtHoT9BYGIO4BUqD71QCkQINpV5oqYADSVE4rUyCDAvvuC3/4Q9qwb38brrwygw21SQoooEAHgVtvhZVW6kzy5JMw33wyKaCAAgoooIACCiiQKYE2BCBfb0KHX67AOx3rqcK/gB/UPjdNBd7u6TpVuA9YHHi9AjM2oT0xrcU9QJoBWavDAKSJmFZVKAEDkEINp51RoBuBf/8bflD/eQaYemp4802o+F+j94sCCmRYoGt4u/DC8FDs0WhRQAEFFFBAAQUUUCBbAq0OQFrV2yr8Bvh1rf4VKxAzQsYrVZiQJByZDLihAqs1o00GIM1QTOvwXZ7melpbcQQMQIozlvZEge4Fnn8e5uyyl9njj8MCCyimgAIKZFcgAo9HHknbt99+cMgh2W2vLVNAAQUUUEABBRQorUCOA5C1gctrA7dvBTosH5EOZxVWAG6tfebQCvyqGYNtANIMRQOQ5ipaWxEFDECKOKr2SYGOAtUqzDorvPJK+tkzz4QtttBJAQUUyKbAE0/A177WuW2xJNYK8XuXRQEFFFBAAQUUUECBbAnkOACZGIhN96YC4umjRSrdbLheheOBHWvqy1XgjmaMgAFIMxQNQJqraG1FFDAAKeKo2icFugpssAFcfHH62V13haOO0kkBBRTIpsARR8Bee6Vtm3lmePFFGDYsm+21VQoooIACCiiggAKlFshrABKD1mUZrL0rcHjHwazCirHsFckyWNdX4FtdB7sKcwPP1D7f7THd3SAGIM39Z+MSWM31tLbiCBiAFGcs7YkCPQv89rdw4IHp11dcEW65RTEFFFAgmwLf/CbceGPath12gBNPzGZbbZUCCiiggAIKKKBA6QVyHoBMAdwJ1Kdgxw/eZwMfAauTLHc1ee3vK1Xg3oEGIBM9brMAACAASURBVFX4Ya2uehWrANvX/vI34KYOdb9Sgf8r/c3VDwADkH5geWipBAxASjXcdra0ApdfDuusk3Z/+HB4912YaKLSkthxBRTIqMDYsTDTTPDFF2kDYwbb+utntME2SwEFFFBAAQUUUKDsAnkOQGLsqjA/cBnQ02ah7wJbVOCS7sa60RkgVXgWmKvB+6XhmSQN1lf4wwxACj/EdnCAAgYgA4TzNAVyJfDGGzD99J2bfM89sOSSueqGjVVAgRIInH46/OQnaUdHjIAIRSadtASdt4sKKKCAAgoooIACeRTIewBSC0EmA34O/IgkEIn9QZ6vBSN/rsBzPY2NAUg27loDkGyMQx5bEankL4H1gDmAT4CngHOBY4EPB9Gp2GAoHmf8NrA0yXp5I4C3gQdJUtWY/hV/b1UxAGmVrPUqkDWB+eeHp+LbV62ccAKMHJm1VtoeBRQou8Amm8B556UKG24IF15YdhX7r4ACCiiggAIKKJBhgSIEIBnmtWkNChiANAjlYZ0EvgecCUzZg8vjtWDkyQG4fRe4AJikj3NfATYHrh3ANRo5xQCkESWPUaAIApttBmfHMp618tOfwkknFaFn9kEBBYoi8OmnyWy1995Le3TyybB9fVngonTUfiiggAIKKKCAAgoUScAApEijmd++GIDkd+yGquVLATcDsd7C+8ChtRAi/r4psEOtYRGCRIjQ4Tf1hpq8JXAGEAtcX0myqc99tdkes8e6esCPazXFLJOV6WaToYau1PtBBiBNQLQKBXIh8Kc/we67p01dfHG4L77tWBRQQIGMCFx9NXw7JsZ2KC+/DDPPnJEG2gwFFFBAAQUUUEABBcYXMADxrsiCgAFIFkYhX224AVgV+Bz4JnBrl+bvBRxW+9zBwKh+di/CjdWBQ4AxPZy7C/CX2tdiBsga/bxGI4cbgDSi5DEKFEHgpptg1fi2VisTTJBshB7r61sUUECBLAjsthscdVTakmWXhdtvz0LLbIMCCiiggAIKKKCAAj0KGIB4c2RBwAAkC6OQnzYsB9xWa+4JwM+6afqw2j4dC9VmbcwIfNaCLt5Rm2ESM0VmAsY2+RoGIE0GtToFMivwwQcw5ZTwRXw7qZUIRVaOCWYWBRRQYIgFqlVYYIHOexUdfDAceOAQN8zLK6CAAgoooIACCijQu4ABiHdIFgQMQLIwCvlpQ8zK2K/W3BU6hCFde7BvbWms+Px3gCta0MXDgT1r9UYwE4FIM4sBSDM1rUuBrAsssQTcf3/ayj/+EeKJa4sCCigw1AKPPgoLxXMlHcpdd8HSSw91y7y+AgoooIACCiiggAK9ChiAeINkQcAAJAujkJ821Je/+gCYurYMVnetXxG4pfaF3wAHtaCLsQRWLIUVZRng7iZfwwCkyaBWp0CmBWLj87/9LW1ibIx+1lmZbrKNU0CBkggccQTsFSuM1sqss8ILL0DFH+NLcgfYTQUUUEABBRRQILcCBiC5HbpCNdzfnAo1nC3vzOvA9LVNyZfs5WrTAG/Wvn4esEkLWhY7FC9eW14r2vRuk69hANJkUKtTINMCJ54IO+6YNnH++eGJJzLdZBungAIlEfjWt+D669POjhwJJ8RKpBYFFFBAAQUUUEABBbItYACS7fEpS+sMQMoy0oPv53Dgo1o1lwLr91Hl+8BkwGggZoQ0s6wHXFKrMD5+bwCVz97HORGuRD+5/fbbWTY2G7UooEBxBe65Z/zlZN54A6adtrh9tmcKKJB9gbfeghlmgHHj0rZedBF8byA/+mS/u7ZQAQUUUEABBRRQoFgCBiDFGs+89sYAJK8j1/52zwC8VrvsOcCmfTThVSA2QH8QWKyJzY13I2O5q7mAeDcgkol7BlB/tdFzDEAalfI4BXIs8NlnyUboH3+cduL//g++E9sYWRRQQIEhEvjnP2HzzdOLDx8OEc6OGDFEDfKyCiiggAIKKKCAAgo0LmAA0riVR7ZOwACkdbZFq3kOYEytU2cAW/fRwTg2znkKmL9JGBPUZn6sU6vvYGDUAOs2ABkgnKcpUFiBlVeGW+rbF8XuRQfBqIF+iymskh1TQIF2CmyxRef9iNZbDy6pT4JtZ0O8lgIKKKCAAgoooIAC/RcwAOm/mWc0X8AApPmmRa0xCzNAYsHrkTXg+O1/o9oskIGYuwTWQNQ8R4EiC8Qmw7HZcL2stRZccUWRe2zfFFAgywKffw4zzgixDFa9/PWv8LOfZbnVtk0BBRRQQAEFFFBAga8EDEC8GbIgYACShVHIRxuGeg+QQ4F9a1Q3ArEuTX1PklYIugl6K1StU4EsC/z73/CDH6QtnGKK5I3HCWLymUUBBRRos8ANN8Bqq3W+6JgxMEdMsLUooIACCiiggAIKKJB9AQOQ7I9RGVpoAFKGUW5eH8cC0wH3AUv2Uu00wJu1r58HbDLIJuwD/L5WR+z/sTrw7iDr7Ot0A5C+hPy6AkUTePllmHXWzr26/35YrJnbGBUNzf4ooEDLBPbeGw4/PK1+ySXhnoFse9ayFlqxAgoooIACCiiggAK9ChiAeINkQcAAJAujkJ823ACsCnwATA183kPTVwTqC+n/JlbSH0QXdwaOrZ3/CPBNIIKYVhcDkFYLW78CWRSYZx549tm0ZccfDzvumMWW2iYFFCi6wMILwyPxo0+tHHAA/Pa3Re+1/VNAAQUUUEABBRQokIABSIEGM8ddMQDJ8eANQdMPAfarXXcF4LYe2hBLVcWSVVFiqaqBLqK/FXAaEPfp07Xw5aU29dsApE3QXkaBTAl03XD4Jz+BU0/NVBNtjAIKlEDgqadg/vk7d3T0aFh++RJ03i4qoIACCiiggAIKFEXAAKQoI5nvfhiA5Hv82t365TqEHrEheXe7cA4DHgQWAt4GZgQ+G0BDNwbOBWLx/Rdq4UeHx7IHUGP/TjEA6Z+XRytQDIFjjoFddkn7ssAC8PjjxeibvVBAgfwI/PnP8D//k7Y3NkOPZfqGxY9ZFgUUUEABBRRQQAEF8iFgAJKPcSp6Kw1Aij7Cze9ffRmsWP4qlqO6tcsl9gIOq33uYGBUl69vA5zSy9fjS2sDFwMTA6/VrvNY87vSa40GIG0G93IKZELg7rthmWU6N+X112H66TPRPBuhgAIlEVhrLbjqqrSz224Lf/97STpvNxVQQAEFFFBAAQWKImAAUpSRzHc/DEDyPX5D0fqlgJuBSYH3gVgW69ra3zcFRtYaFY9MR4jwXj8DkFha62pgRG3mSAQm9/fR0ZghErNNmlkMQJqpaV0K5EXg889hqqngww/TFl90EXzve3npge1UQIG8C7z7bhK6ftZhAu3558PGMTnWooACCiiggAIKKKBAfgQMQPIzVkVuqQFIkUe3dX2LdwLPBKbs4RIRfqwHPNnN1/uaARIzRvq7afq2QLMX6TcAad39Y80KZFtg9dXhuuvSNu63HxwSWa9FAQUUaINAhB0//GF6oYkmgjfegCmmaMPFvYQCCiiggAIKKKCAAs0TMABpnqU1DVzAAGTgdmU/cy5g11rQMTvwaS3wOA84Bujw+HQnKgOQst859l+BrAv86ldw6KFpK1dbrXMgkvX22z4FFMi3wDbbwGmnpX2I5bCuuCLffbL1CiiggAIKKKCAAqUUMAAp5bBnrtMGIJkbEhuUEQFngGRkIGyGAm0XuOSSzktejRgBb78N8RS2RQEFFGilwLhxMMssEHsP1ctf/gK77NLKq1q3AgoooIACCiiggAItETAAaQmrlfZTwACkn2AeXhoBA5DSDLUdVaCLwNixMMMMnT95553jb44unAIKKNBsgdGjYcUVO9f61FMw77zNvpL1KaCAAgoooIACCijQcgEDkJYTe4EGBAxAGkDykFIKGICUctjttAI1gQUXhMdjO6NaOfpo+MUv5FFAAQVaK3DAAfC//5teY+GF4aGHWntNa1dAAQUUUEABBRRQoEUCBiAtgrXafgkYgPSLy4NLJGAAUqLBtqsKjCfQdQ3+zTaDs84SSgEFFGitwBJLwP33p9fYZx/4/e9be01rV0ABBRRQQAEFFFCgRQIGIC2Ctdp+CRiA9IvLg0skYABSosG2qwqMJ3DiibDjjumn554bnnlGKAUUUKB1AmPGwFxzda7/xhthlVVad01rVkABBRRQQAEFFFCghQIGIC3EteqGBQxAGqbywJIJGICUbMDtrgKdBB54ABZfvDPKSy8lmxNbFFBAgVYI/PWvsPPOac3TTguvvgoTTtiKq1mnAgoooIACCiiggAItFzAAaTmxF2hAwACkASQPKaWAAUgph91OK1ATGDcO4s3Hd99NSc4/HzbeWCIFFFCgNQLrrQeXXZbWvcUWcOaZrbmWtSqggAIKKKCAAgoo0AYBA5A2IHuJPgUMQPok8oCSChiAlHTg7bYCXwmsvTZceWUKsscecMQRAimggALNF/jgA5huOvjkk7Tus8+GH/+4+deyRgUUUEABBRRQQAEF2iRgANImaC/Tq4ABiDeIAt0LGIB4ZyhQdoGDDoLf/CZVWGkluPnmsqvYfwUUaIXARRfBhhumNU8wAYwdC1NP3YqrWacCCiiggAIKKKCAAm0RMABpC7MX6UPAAMRbRAEDEO8BBRToTuDyy2GdddKvTDxxsiTWJJPopYACCjRXYORIOOmktM5vfQuuvba517A2BRRQQAEFFFBAAQXaLGAA0mZwL9etgAGIN4YCBiDeAwoo0J3A22/DNNN0/sqtt8IKK+ilgAIKNE/giy9g9tnh5ZfTOmO5vVh2z6KAAgoooIACCiigQI4FDEByPHgFaroBSIEG0640VcAlsJrKaWUK5FRg0UXhoYfSxh95JOy+e047Y7MVUCCTAnfdBd+IHzs6lMceg699LZPNtVEKKKCAAgoooIACCjQqYADSqJTHtVLAAKSVutadZwEDkDyPnm1XoFkCO+wAJ5+c1vbDH8J55zWrdutRQAEF4OCDYdSoVGKBBeDxx5VRQAEFFFBAAQUUUCD3AgYguR/CQnTAAKQQw2gnWiBgANICVKtUIHcCp5wC222XNnvWWeGFF6Dif5+5G0sbrEBWBZZdFu68M23dbrvBH/+Y1dbaLgUUUEABBRRQQAEFGhYwAGmYygNbKOA7OC3EtepcCxiA5Hr4bLwCTRJ49FFYaKHOlT33HMw5Z5MuYDUKKFBqgZdegtlm60xwzTWw+uqlZrHzCiiggAIKKKCAAsUQMAApxjjmvRcGIHkfQdvfKgEDkFbJWq8CeRKIzYlnmAHefDNt9VlnwWab5akXtlUBBbIqEEvsxVJ79TLllDB2LEw0UVZbbLsUUEABBRRQQAEFFGhYwACkYSoPbKGAAUgLca061wIGILkePhuvQBMF1lsPLrssrfDnP4djjmniBaxKAQVKK7DRRvCf/6Td32QTOOec0nLYcQUUUEABBRRQQIFiCRiAFGs889obA5C8jpztbrWAAUirha1fgbwI/P73sN9+aWsXXRQeeCAvrbedCiiQVYGPP4bppoMPP0xbePrpsNVWWW2x7VJAAQUUUEABBRRQoF8CBiD94vLgFgkYgLQI1mpzL2AAkvshtAMKNEng1lthpZU6VxZL1MQblxYFFFBgoAL//S+su2569rBh8OqrMP30A63R8xRQQAEFFFBAAQUUyJSAAUimhqO0jTEAKe3Q2/E+BAxAvEUUUCAR+PRTmHpq+OijVOTCC2HDDRVSQAEFBi4Qy+kdd1x6/sorw003Dbw+z1RAAQUUUEABBRRQIGMCBiAZG5CSNscApKQDb7f7FDAA6ZPIAxQokcCaa8I116Qd3n13OPLIEgHYVQUUaKpAtQrzzgvPPptWe8ghnZfba+oFrUwBBRRQQAEFFFBAgfYLGIC039wrji9gAOJdoUD3AgYg3hkKKJAKHHwwjBqV/n2ZZeDOOxVSQAEFBibw8MOwyCKdz73/flhssYHV51kKKKCAAgoooIACCmRQwAAkg4NSwiYZgJRw0O1yQwIGIA0xeZACJRG47jpYffW0s7FW/1tvwZRTlgTAbiqgQFMFjjgC9torrXL22WHMGKj4o3lTna1MAQUUUEABBRRQYEgFDECGlN+L1wT8LctbQYHuBQxAvDMUUCAViP0/ppoKPvss/VxsYLzOOiopoIAC/ReIQDWC1XrZcUc4/vj+1+MZCiiggAIKKKCAAgpkWMAAJMODU6KmGYCUaLDtar8EDED6xeXBCpRAYJVV4Oab047utx/Emv0WBRRQoD8C77wD008Pn3+envWf/8AGG/SnFo9VQAEFFFBAAQUUUCDzAgYgmR+iUjTQAKQUw2wnByBgADIANE9RoNAC++/fOfBYaaXOgUihO2/nFFCgaQLnnw8//GFa3cQTw5tvwmSTNe0SVqSAAgoooIACCiigQBYEDECyMAq2wQDEe0CB7gUMQLwzFFCgs8Dll3de8mqiieDtt2HECKUUUECBxgW22w5OOSU9fu21Ib6/WBRQQAEFFFBAAQUUKJiAAUjBBjSn3TEAyenA2eyWCxiAtJzYCyiQM4H33oNppoFx49KGX3NN583Rc9Ylm6uAAm0W+OILmG02eOWV9MJHHQW77trmhng5BRRQQAEFFFBAAQVaL2AA0npjr9C3gAFI30YeUU4BA5Byjru9VqB3geWWgzvuSI8ZNQoOOkg1BRRQoDGBu+6Cb8SPGB3KE0/A/PM3dr5HKaCAAgoooIACCiiQIwEDkBwNVoGbagBS4MG1a4MSMAAZFJ8nK1BQgT33hCOPTDu3+uoQs0AsCiigQCMCv/0tHHhgeuQCC8DjjzdypscooIACCiiggAIKKJA7AQOQ3A1ZIRtsAFLIYbVTTRAwAGkColUoUDiBiy6CDTdMuzV8OLzzDsQmxhYFFFCgL4EVV4TRo9OjYumrWALLooACCiiggAIKKKBAAQUMQAo4qDnskgFIDgfNJrdFwACkLcxeRIGcCbz5Jkw/PVSracNvvhlWWilnHbG5CijQdoHXX4eZZur8/eOKK2CttdreFC+ogAIKKKCAAgoooEA7BAxA2qHsNfoSMADpS8ivl1XAAKSsI2+/FehLYIkl4P7706MOPRT23bevs/y6AgqUXeDMM2GrrVKFySaDN96ASSYpu4z9V0ABBRRQQAEFFCiogAFIQQc2Z90yAMnZgNnctgkYgLSN2gspkDOBXXaBY45JG73OOvDf/+asEzZXAQXaLrD55vDPf6aXjeX0Lryw7c3wggoooIACCiiggAIKtEvAAKRd0l6nNwEDEO8PBboXMADxzlBAge4FzjsPNtkk/doUU0AsjTXhhIopoIAC3Qt8/jnMOCO89Vb69RNOgJEjFVNAAQUUUEABBRRQoLACBiCFHdpcdcwAJFfDZWPbKGAA0kZsL6VArgRefRVmnrlzk++8E5ZZJlfdsLEKKNBGgdgraJVVOl9wzBiYY442NsJLKaCAAgoooIACCijQXgEDkPZ6e7XuBQxAvDMU6F7AAMQ7QwEFehb4+tfhscfSrx95JOy+u2IKKKBA9wK/+hXEfkH1svjicN99aimggAIKKKCAAgooUGgBA5BCD29uOmcAkpuhsqFtFjAAaTO4l1MgVwKxbM1JJ6VNdi3/XA2fjVWg7QJLLtk58Nh3386BSNsb5AUVUEABBRRQQAEFFGi9gAFI6429Qt8CBiB9G3lEOQUMQMo57vZagcYE/vEP2HLL9Nhpp4XXX4dhwxo736MUUKA8Ai++CLPP3rm/N944/pJY5RGxpwoooIACCiiggAIlETAAKclAZ7ybBiAZHyCbN2QCBiBDRu+FFciBwPPPw5xzdm7oAw/AoovmoPE2UQEF2ioQs8U6bnY+9dRJYDrhhG1thhdTQAEFFFBAAQUUUKDdAgYg7Rb3et0JGIB4XyjQvYABiHeGAgr0LjDPPPDss+kxxxwDP/+5agoooEBnge9/Hy68MP3cj38MZ5+tkgIKKKCAAgoooIAChRcwACn8EOeigwYguRgmGzkEAgYgQ4DuJRXIlcA228Bpp6VN/uEP4bzzctUFG6uAAi0W+OQTmG46+OCD9EKnnw5bbdXiC1u9AgoooIACCiiggAJDL2AAMvRjYAvAAMS7QIHuBQxAvDMUUKB3gVNOge22S49xHxDvGAUU6Cpw1VWw1lrpZysVePVVmGEGrRRQQAEFFFBAAQUUKLyAAUjhhzgXHTQAycUw2cghEDAAGQJ0L6lArgTGjIG55urc5LvugqWXzlU3bKwCCrRQYPfd4U9/Si+w/PIwenQLL2jVCiiggAIKKKCAAgpkR8AAJDtjUeaWGICUefTte28CBiDeHwoo0LfAggvC44+nx/3hD7D33n2f5xEKKFAOga7fIw4+GA48sBx9t5cKKKCAAgoooIACpRcwACn9LZAJAAOQTAyDjciggAFIBgfFJimQOYHY9Py449JmxVI3V1yRuWbaIAUUGAKBJ5+EBRbofOE77oBvxI8YFgUUUEABBRRQQAEFii9gAFL8Mc5DDw1A8jBKtnEoBAxAhkLdayqQN4ELLoCNN05bPXw4vPUWxEeLAgqUW+Doo+GXv0wNZpoJXnoJhg0rt4u9V0ABBRRQQAEFFCiNgAFIaYY60x01AMn08Ni4IRQwABlCfC+tQG4EIuyYfnr44ou0yVdfDWuskZsu2FAFFGiRwDrrwOWXp5Vvsw2cckqLLma1CiiggAIKKKCAAgpkT8AAJHtjUsYWGYCUcdTtcyMCBiCNKHmMAgpAbGp8++2pxH77wSGHKKOAAmUW+OADmG46+OSTVOHcc+FHPyqzin1XQAEFFFBAAQUUKJmAAUjJBjyj3TUAyejA2KwhFzAAGfIhsAEK5ERg//07Bx7LLts5EMlJN2ymAgo0UeDii2GDDdIKJ5gA3ngDppqqiRexKgUUUEABBRRQQAEFsi1gAJLt8SlL6wxAyjLS9rO/AgYg/RXzeAXKKnDttZ2XvKpUkjc6p5mmrCL2WwEFdtoJjj8+dVhtNbjuOl0UUEABBRRQQAEFFCiVgAFIqYY7s501AMns0NiwIRYwABniAfDyCuRG4OOPYdpp4aOP0iaff37nzdFz0xkbqoACgxaoVmHuuWHMmLSqww6DvfYadNVWoIACCiiggAIKKKBAngQMQPI0WsVtqwFIccfWng1OwABkcH6erUC5BL7zHbjiirTP8fT3cceVy8DeKqBAIvDgg7DYYp014nOLLKKQAgoooIACCiiggAKlEjAAKdVwZ7azBiCZHRobNsQCBiBDPABeXoFcCRx+OOy9d9rk+eeHJ57IVRdsrAIKNEkgZnvss09a2ZxzwrPPQiyPZ1FAAQUUUEABBRRQoEQCBiAlGuwMd9XfxDI8ODZtSAUMQIaU34srkDOBe+6BpZfu3OhnnkmWwbEooEC5BGK/jxtuSPvsjLByjb+9VUABBRRQQAEFFPhKwADEmyELAgYgWRgF25BFAQOQLI6KbVIgqwJffAEzzphsfl4vJ58M22+f1RbbLgUUaIXA22/D9NPDuHFp7RdfDOuv34qrWacCCiiggAIKKKCAApkWMADJ9PCUpnEGIKUZajvaTwEDkH6CebgCpRf48Y/h3HNThk03hX/+s/QsAihQKoHzzoNNNkm7PMkk8OabMGJEqRjsrAIKKKCAAgoooIACIWAA4n2QBQEDkCyMgm3IooABSBZHxTYpkGWBk06CkSPTFs4wA7zyCgwbluVW2zYFFGimwDbbwGmnpTWusw7897/NvIJ1KaCAAgoooIACCiiQGwEDkNwMVaEbagBS6OG1c4MQMAAZBJ6nKlBKgdjzY955O3f93nthiSVKyWGnFSidQCyFN8ss8Npradf/8hfYZZfSUdhhBRRQQAEFFFBAAQVCwADE+yALAgYgWRgF25BFAQOQLI6KbVIg6wLzzQdPP5228ogjYI89st5q26eAAs0QuPNOWHbZzjU99dT4wWgzrmUdCiiggAIKKKCAAgrkQMAAJAeDVIImGoCUYJDt4oAEDEAGxOZJCpRcYMcd4cQTUwSXvyn5DWH3SyVw8MEwalTa5QUXhEcfLRWBnVVAAQUUUEABBRRQoKOAAYj3QxYEDECyMAq2IYsCBiBZHBXbpEDWBbpugBwbH8cGyLERskUBBYotsPzycPvtaR933x2OPLLYfbZ3CiiggAIKKKCAAgr0ImAA4u2RBQEDkCyMgm3IooABSBZHxTYpkHWBsWNhxhmhWk1bet11sNpqWW+57VNAgcEIXH89fOtbnWu46ipYc83B1Oq5CiiggAIKKKCAAgrkWsAAJNfDV5jGG4AUZijb3pG5gF8C6wFzAJ8ATwHnAscCHzapRZsB2wKLA1MDrwI31q5xa5Ou0V01BiAtxLVqBQotsMwycPfdaRcPOAB++9tCd9nOKVBqgU8/haWWgocfThmmmw5efNHZX6W+Mey8AgoooIACCiigQBECkCqMAH4B/AiYD4glHp4HLgX+UoHnBjPSVZgIiCenvgMsD3wNmAr4AIhNRq8G/lpJ/mwZgIAByADQPIXvAWcCU/Zg8XgtGHlyEFaTAv8C1u2hji+A3wAHD+IavZ1qANIiWKtVoPAC++wDhx2WdnPOOeGee2DaaQvfdTuoQCkF4t97/LvvWI49FnbeuZQcdloBBRRQQAEFFFBAgbpA3gOQKswPXAYs0MOovgtsUYFLBjLqVZgBeASYro/zPwX2rsCfB3Kdsp9jAFL2O6D//V8KuBmIgOJ94FDg2trfNwV2qFUZIUiECO/1/xJfnvFPIOqLEvXHP/CXgMWAX9US1/jajkCHHYcHeLXxTzMAaRqlFSlQMoGrr4Zvf7tzp2Mz9EsugQkmKBmG3VWg4AJjxsBCC8GHHSa+xiyw227z33vBh97uKaCAAgoooIACCvQtkOcApApTAHfWZmREZ08CzgY+AlYH9gMmr62Cs3IF7u1bpPMRVZi9NpskvhDn/we4rbYCTswC+S6wCzC8duaOlda8D9rfpufqw7WIwAAAIABJREFUeAOQXA1XJhp7A7Aq8DnwTaDrMlR7AfVHn2N2xqgBtHqN2vSuOPVi4PvAuA71TA/cBcwJvA3MC7w1gOv0dooBSJNBrU6B0gh88QWsuircckvnLrsUVmluATtaIoGNN4YLLkg7XKkk4ceyy5YIwa4qoIACCiiggAIKKNC9QM4DkFh55te1nsXsi8M79rIKKwHXAxPGxwp02RSw77uiCrMBpwAHVmB0d2dUk2Wx6g+fvxNbEVQG/sB5340q4BEGIAUc1BZ2ablaChmXOAH4WTfXGgY8CCxUCydmBD7rZ5tialkknBGyzAO80M35MTskZolE2Zsu34T6eb3uDjcAaQKiVShQWoFY+z+eAn81ti3qUOKN0o02Ki2LHVegUAKXXgrrr9+5SzvtBMcdV6hu2hkFFFBAAQUUUEABBQYqkNcApLYvx+u1vThiiapFKxDL8XcqVTi+tjpNfH65CtwxUKvezqvCEcAetWN+UIF/t+I6Ra3TAKSoI9uafh1Sm94Vta/QIQzperV9a0tjxedjA58r+tGcmF42FpgY+L9aENLd6fH1+EYU+5DELJRIXZtZDECaqWldCpRR4MYbYY014PPIcmtliingjjtgwQXLKGKfFSiOwEcfwSKLwDPPpH2aYQZ47DGYZpri9NOeKKCAAgoooIACCigwCIEcByBrA5fXur5vBf7QHUM1eX+0vjrOoZVk2f6mlyqsR7rPyHizUZp+wYJVaABSsAFtcXfqy199AExdm6HR3SVXBOprv8R0sYP60a6Oy1/FWnq/7+Xc+EYU35Di3cURA5hp0luzDED6MWgeqoACPQj85S+w666dvxj7BcQSORGGWBRQIJ8CBx4Iv/1t57afdhpsvXU++2OrFVBAAQUUUEABBRRogUCOA5COy1+t2MvyVLH8VSxLFe9L3lCB1VrASBU2Bs6v1b1HBf7YiusUtU4DkKKObGv6FTMuYv+N+4Ale7lEPPr4Zu3r5wGb9KM5vwCOrh0fe39c2Mu5sTH6L2tfXwR4uB/X6etQA5C+hPy6Agr0LVCtJm+Innlm52Nj34C//hVivwCLAgrkSyA2Pl9pJfj007Tdse/P9df7bzpfI2lrFVBAAQUUUEABBVoskOMA5F/AD2o801SSPYi7LdXkfdLFY6WaCsRWAE0vVej4Hui6Ffhv0y9S4Ap956XAg9vkrg0HPqrVeSnQZdHr8a72PjAZyQY+MSOk0RIzPvapHRw7iN7Zy4l7dtj7Y50OU9MaudbsfRy0NPCfOOaUU05hkVjmwqKAAgoMRODjj5nupz9l4scfH8jZnqOAAhkXqE4wAa+fcQbj5p8/4y21eQoooIACCiiggAIKtFfgoYceYtttt61fdEPg7j5a0N0+wO1tNMSMi3g/MzYf/6ACk/fWgGqyNFUsURVleAU+aWaDqzAL8BgQy0jEw+lzVuDjZl6j6HUZgBR9hJvXvxmA12rVnQPEJuS9ldj5N1LP2BB9sX4041jg/9u7E7h/qzn/46+bGKGFbH8kspclRlkmKYylxr5M9mxhUPbdEP5MGGqQEQ1ZxhD6TyL8EakwwjBlbUFCCpElW/c83nOf6+Gay3ff7u91fV/n8fDQ7/5eyznPc657OZ/rnM/fleOTSP0bA859AlBlGr1/bSnYKLdbH+Ugj1FAAQUUUEABBRRQQAEFFFBAAQUUUECBhQgsxVz1OpwG7AScuwZXG9Tydcg8abX7zZXW4CezklqHeOQF7XuUax6w9qedc2Z1m85fZykGVeeVu9HA7YHvlaa8Axi2yXWOzTlnAOO8EnkE8Khyn+sCZw7gy3E5PuVhQGOPmYHwBkC6MS5thQIKKKCAAgoooIACCiiggAIKKKBANwSWYq56fWM+c0fg7DW41iDadXh7mZfMYduvwcxWsazD84GXlfsfD9x5DS7uRlcvrhVLMagW11zvNIVA11aADNsCK0GbfGNJuTdwzhR2nqqAAsslkNVp2covJctUq9Vty1VLa6OAApMI+HxPouY5CrRDwOe7Hf1kLRWYRMDnexI1z1GgHQLXqOX33Qs4fUi1xwoerP/PblVTl0euwdvqV1mGFSDr8BAgL6Fn/v4s4HZr8KOpW7uCFzAAsoKdPmGTu5YDZBhDAiRnl4OykmWsb8DDLu7nCiiwqQI+35vK780VmKuAz/dceb24Apsq4PO9qfzeXIG5Cvh8z5XXiyuwqQJzfb7nGADZ1Bwg6xsvax4NXIqNoMfuaxurUiwTCBgAmQBthU85H9gO+AqwywCHKwA/LZ8fVdsHbxS6J/GnvezuU4sS9zr3UOCA8kGylH9tlBuMeMxcv0GPWAcPU0CB+Qj4fM/H1asqsAwCPt/L0AvWQYH5CPh8z8fVqyqwDAI+38vQC9ZBgfkIzPX5XocbzaDaP1yDn9evsw7vA+5XvnaFNbig333WN+ZJb5YE5Wsb+ZCnKuuwJ3BcEqoDPwP2XIOvTnXRFT/ZAMiKD4Axm38CcHvgV8C2wB/6nH9b4OTy2UuAF41xnzsCnyjHPxf4hwHnfhS4S6nHZYHfj3GfYYfO9Rv0sJv7uQIKzFXA53uuvF5cgU0V8PneVH5vrsBcBXy+58rrxRXYVAGf703l9+YKzFWglc/3OmQ+84VF5rZrkBUhf1bWYQs2giOXA05YgztMo7kOu5V50csDvyw5Pz4/zTU9d2MPMYsCowq8HEhQIuU2QL8H8DnAK8pxdwU+NuoNgK2ArDS5NPAR4O59zs3n5wFbA5/NPnhj3GOUQ1v5DXqUhnmMAgrg8+0gUKC7Aj7f3e1bW6aAz7djQIHuCvh8d7dvbZkCrXy+1zdeuM6L1ynPWYODe3Xl+sb8aOYlU16xBs+btMvXN1aRfArIzjoXZU50bePflikFDIBMCbhipycKWQU93gQ8vkf7LwGcCty4RECz9GvclRkfLoGPrDC5Tp/8G/sC7y73fxbwqhn3RSu/Qc/YwMsp0FUBn++u9qztUgADnA4CBTos4M/vDneuTVt5AZ/vlR8CAnRYoJXP9/rGi9k/BrYBvg7svNYj4fo6/DPwuNJ/u63BFybpy3W4QVaQAFct86j3XoPMj1pmIGAAZAaIK3aJahusBCf2qEU5K4ZnAq8s/zgIeHHDZz/grQM+z0f1bbCOAe4L/LF2nSsBXwSuVYIsO5Y98WbZFa38Bj1LAK+lQIcFfL473Lk2beUFfL5XfggI0GEBn+8Od65NW3kBn++VHwICdFigtc93YxusZ601Xr5eh6QAyDxptsH69NpG7o7/Vdbh2sBZ5Yv9jsn85onA9mX+c9+1jRwklhkJGACZEeQKXeYWwEnAlmUvumyLdXz5d1Zl7F8svgXcCriwYTNKACSnZHVHrpeS6x8C/AC4KfB84Lrls0RZD5+Df2u/Qc/Bwksq0DUBn++u9ajtUeBPAj7fjgYFuivg893dvrVlCvh8OwYU6K5Aa5/v9Y1t+k9hY3VGSuYf/w34DbAXG9tdJVdH/n27NfjPZjcOC4Csw3bl5fLrl3PzUvk7hgyHn63BOd0dMrNvmQGQ2ZuuwhXvAbyz5N/o1d4EP/YBTu/x4agBkARYEu3cuw/oxcBLe6wwmZV/a79BzwrA6yjQYQGf7w53rk1beQGf75UfAgJ0WMDnu8Oda9NWXsDne+WHgAAdFmj1870O12NjK6oqQNHsql8AD1mDY3v14QgBkKwayYvf45Qj1yDzq5YRBQyAjAjlYX8msANwYAl05JvZ70rA4yjg9cCv+5iNGgCpTn8wGw/1zYFtgXOBz5R7VEmG7B4FFFBAAQUUUEABBRRQQAEFFFBAAQUUUGCmAutwOeCJwAPYCIgkP8jZJTBy6Bp8t98NDYDMtCsmvpgBkInpPFEBBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQWWVcAAyLL2jPVSQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUECBiQUMgExM54kKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiwrAIGQJa1Z6yXAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKTCxgAGRiOk9UQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUECBZRUwALKsPWO9FFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQYGIBAyAT03miAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKLKuAAZBl7RnrpYACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAhMLGACZmM4TFVBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQYFkFDIAsa89Yr80U2AE4ANgH2B74LXAG8F7gDcCvN7Ny3lsBBcYWuBWwN7A7sBNwZeD3wA+Ak4AjgBPHvqonKKDAsgscDDyrVsm9gE8te6WtnwIK9BW4FvDo8jt6fl/fCjgP+A5wfPld/VT9FFCgVQKXBh4OPAC4GXDF8nv6OcDJwJvL/7eqUVZWgQ4LXAXYrfxvVyD/266090hgvzHbfndg/3Kd/J2en+tfAA4HjhvzWh6uQF8BAyAODgX+t8A9gHcCW/eB+Vb5o+t04RRQoBUCJwC3H6GmbwceC/xuhGM9RAEFll9gl/LH0xa1qhoAWf5+s4YK9BN4MvAK4HIDiA4FniKhAgq0RiCBzA8BOw+p8euAA4H11rTMiirQXYFBz+E4AZBLlCBHXmzoV94CPA64uLuctmxRAgZAFiXtfdogcIvyNviWwC/LH1l5myz/3rdMjqYdCYLkjfIL29Ao66jAigskWHndstrjKOAzwPeASwK3BZ4OXKMYvRt48Ip72XwFuiCQP6g+V94k+zGQN9VSDIB0oXdtwyoKvAB4aWl4fg/PG+F5O/Tn5a3T/A5/H+DzwNNWEcg2K9BCgUsBX64FP74KvAb4ZlndlZXb+T29Cno+F/iHFrbTKivQNYF6ACR/V38DuEtp5DgBkLzU8JxyXr4XvLLsvJK/3bOCOz/bU3Lc87qGaHsWL2AAZPHm3nF5Bao3xf8A7AF8tlHVZ5ZvyvnyQcCLl7cp1kwBBYrAsUBWd7wf+GMPlSuVwOcNymd3APK9wKKAAu0VyBvgry1/kB0NZNIkxQBIe/vUmq+uwJ2Aj5fm5+f5Y8r2OL1EspWOKzlXd6zY8nYJ3B/Iy0kp+bs7K7abv6v/ZfkswZILyja2+VvdooACmyeQubC8hJD/nQtcGzirVGfUAEj+9j4NyErtU8r8229qTbos8Ony4nGe+RsD7sKyeX3eiTsbAOlEN9qIGQhkD8O8NZbyJuDxPa6ZN0qzr3C++eYXsLxRmjwCFgUUaLfA3wAfLE3IEvvkALIooEA7BZIjIH9QXR7YswQ9XlSaYgCknX1qrVdXIL97583S6wNfqU2ErK6ILVegOwJZ7fHU0px71n4Xb7bwA2WFV76eHCH/1R0CW6JAJwQmCYAcBjyhtD67MmTldrPcpvZSco5/Yie0bMSmCRgA2TR6b7xkAi+vvSGab7RVMKRZzSzRyxK8lLsCH1uydlgdBRQYXyBL67PtXcqHS56f8a/iGQoosAwCCWYmqFm9gZbVmgZAlqFnrIMC4wvcrZYANVtUZqtKiwIKdEPg9bUJzZuUlxd6texVwDPKB9mG+ovdaL6tUKAzAuMGQDIP/X3g6uUlh7xg3K/kJYgbAucA25sHqDNjZlMaYgBkU9i96RIKVNtf/QrYFui3tDbR6ZNL/V9Sm1RZwiZZJQUUGFHgisBPyrGZPM1baBYFFGifwAOB9wA/LX8snV+2qzQA0r6+tMYKROAI4FFlwmObWv69/NzervzszvNuUUCB9gk8GfinUu1RVoAk70D+Tv9F+5pqjRXotMC4AZAdS66PoPTbfaUCy+f7l3/kvGqrrU6D2rj5CBgAmY+rV22fwHlAcgFkef0uA6p/hTKxkkOyZ2kmWywKKNBugSROzfL6lCRfe3a7m2PtFVhJgUyKfB24GvBY4C1FwRUgKzkcbHRHBLKd3U5lwiMTH1kFkpw+eVu8KlVS9Gxh+duOtNtmKLAKAvnb+wxg65KPL3n4mjlAkgQ5W+Mkv8+7gIeuAoxtVKBlAuMGQOrbT2cbvEMGtDefZ7u8lH3Kbg0t47G6yyJgAGRZesJ6bKbAZYAq4dKHytYZg+qTrXKyZU5+GcuKEIsCCrRXIPuLJ/Fi8gCluLS+vX1pzVdb4PAS+DipJFLNm6IpBkBWe1zY+vYK5Odzcu3l/5NoNT+rB+XoygrtTI4kT59FAQXaIZCVH9naLgmPv1wmQhPUTB6vvwKeDmwFfAnYuyRcbkfLrKUCqyMwbgAk+XbfWHgeALxvANX9y4vHOSTnZUWIRYGJBAyATMTmSR0TuDLw49KmbJ2x75D2nVsSoCch+k07ZmFzFFg1gfxh9erS6KwCud+qAdheBTogcHvg0+XN0bwtmp/PVTEA0oEOtgkrKVBfdX0RkBeWfgg8s7wBmq/tChwMJH9fytHAfVdSy0Yr0F6BG5VAx6OB5vxU/u5O/s03A79ubxOtuQKdFhg3AJKf49l1IeXuwEcG6OTz5OhMSS6gf+y0pI2bq4ABkLnyevGWCCSZ0vdKXd8BPHxIvXNszsmS3eu1pI1WUwEF/lwgS+0/DmxRgqAJaFbBUL0UUKAdAtkWI9tXZgIliVKf1ai2AZB29KO1VKApcE3g7NoXM/l5S+CbjQO3LKtDbl6+nmDI5+VUQIFWCORneH5OPwbIS4m9yinAS4FjWtEiK6nA6gmMGwB5IZB8uil3Aj45gOyOwCfK5znvZavHa4tnJWAAZFaSXqfNAq4AaXPvWXcFJhPYGfgMkDdM8xbpXYETJruUZymgwCYKVAGOvJyQXAG/atTFAMgmdo63VmAKgeQHSI6+qiRZ8oF9rpetr44tn70WeNoU9/VUBRRYjEC2lD6ubFuZ3B95s/utwJllxdetgb8HdgeyrWXe/q5yASymht5FAQVGERg3AOIKkFFUPWbmAgZAZk7qBVsoYA6QFnaaVVZgCoHrACcCVy9b5mTbq3+f4nqeqoACmyOQVR9Z/ZE3SO/V5+1QAyCb0zfeVYFpBf6ivKBQXSdJU5Orr1fJ7/IXlhWd+fmebfEsCiiw3AJZtZmgRsp+wJE9qptV2h8D9gIuLqvA8nPfooACyyMwbgDEHCDL03crVRMDICvV3TZ2gMD5wHZlImWXAcfV9yM+Cnigqgoo0CqBBD2y8mPH8jZZ/uB6e6taYGUVUKASSCLE/cvbos/vw5LkiVVun2yh8bVy3Ad7rBZRVgEFlksg21JW2+Jki6uvDqhe8oNcrWyRleCoRQEFllcg81D5+/uKwLeBGwyoapKhJ7CZcgjw1OVtljVTYCUFxg2A5IWG/B6ekuc5z3W/ks+rlV9Z7VnlA1lJaBs9nYABkOn8PLs7Atn6Jm+LZeuMbYE/9GnabYGTy2fZt/BF3SGwJQp0XiDbaSRRcrbJSXkS8IbOt9oGKtBdgbcBj5iweVkJ9p0Jz/U0BRRYjMDxwJ7lVsn/8eUBt62CJacBN1lM9byLAgpMKJBgZYKWKe8B9h1wnfpuDUmWnKTIFgUUWB6BcQMgeREx+XRT8jJTVoT0K9XLTvk85521PM22Jm0TMADSth6zvvMSeDnw3HLxQckTnwO8ohyXnAFZkmtRQIHlF9imJFjLBEpKnuWDl7/a1lABBQYIGABxeCjQbYGDSg6AtDKrud7fp7lbAxcA+ds2v5vnd3SLAgosr0A9x0+e6zzf/cpWwC/Kh8n1c4/lbZY1U2AlBcYNgORn9ffLdtTfAG48QO3rQFZ1ngNsX3ZwWElkGz29gAGQ6Q29QjcEdgM+X5rSLwp9CeDU8g06f2RdBfh9N5pvKxTotMBly4RIltCn/F/gBZ1usY1TQIFKwBwgjgUF2itws7I9bVrwLuChfZqSlWAJiKa8EHhZe5tszRVYCYH8Xf0zIMHLTGxmArXfDgz17XJeBxywEkI2UoH2CIwbAEnLDgOeUJqYXVY+16O5eTH5s+XrOf6J7SGxpssoYABkGXvFOm2WQLUNVn752qP2zbaqzzOBV5Z/5I20TKpYFFBguQWSHDl7jN6lVPNQ4CnLXWVrp4ACMxQwADJDTC+lwCYIZL/vbHmTBMj5Wf6JRh2ylc4XgGsCvytbZGRC1aKAAsst8K/Ag0oV87M6f183S/JvJv9HtX2tOzAsd59au9UUmCQAkrw/yct3SeCUMv/2mxrflkDm525VgqP5HpB8QRYFJhYwADIxnSd2UOAWwElAvtn+Esi2WNl7OP/OvqRJtJryrfKN+MIOGtgkBbomkGX19y2N+mQJfqwPaGQmT/KMWxRQoBsCBkC60Y+2YnUFMkmSVdrJ0XdRSZaaoEgmSrKCO1vYJviR8uzay0qrK2bLFWiHQLa1+SKQldopeWHpSOBMIHk/8vZ3Xlq6Vvk8wc87t6Np1lKBTgvsDlyv1sJsafeq8u/Mp72l0fpqhWYTJVvLZ1vqlOT4yvbUyQ1y3fLzPPNzKTnueZ0WtXELETAAshBmb9Iigewp+s6yHLdXtTMxug9weovaZFUVWGWBQcGOXi7fLcvwV9nMtivQJQEDIF3qTduyqgKZbHkfcNU+APlZn+0ts/2VRQEF2iOQgMa7gUygDip5iSl5QrJtlkUBBTZXYNwcfP3mnbMV3puBRw1ozhHlReSsArUoMJWAAZCp+Dy5owI7AAeWQEe1nD4Bj6OA1wO/7mi7bZYCXRQwANLFXrVNCowuYABkdCuPVGCZBbYDngzcG7gOkC0ufwh8CkhegLw9alFAgfYJ5Nl+dNnqbuey2itbUv+obG+XrbKOMflx+zrWGndWYFYBkApo7xLk2LUEQ88vz35y8x7XWUUbtnABAyALJ/eGCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgooMG8BAyDzFvb6CiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoosHABAyALJ/eGCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgooMG8BAyDzFvb6CiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoosHABAyALJ/eGCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgooMG8BAyDzFvb6CiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoosHABAyALJ/eGCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgooMG8BAyDzFvb6CiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoosHABAyALJ/eGCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgooMG8BAyDzFvb6CiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoosHABAyALJ/eGCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgooMG8BAyDzFvb6CiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoosHABAyALJ/eGCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgooMG8BAyDzFvb6CiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoosHABAyALJ/eGCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgooMG8BAyDzFvb6CiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoosHABAyALJ/eGCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgooMG8BAyDzFvb6CiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoosHABAyALJ/eGCiiggAIKKKCAAjMSeDHwonKtVfm9dr2H3aeBPacw/Q6wA3AksF/jOrnu8eVrewGfmuI+nrrRT23xrMbaQUCetS6UawNn9WhIr7HfhfbaBgUUUEABBRRQYOUFVuUPxZXvaAEUUEABBRRQQIElEeg3ATlu9fJ7rAGQDTUDIOOOns073gDI5tnnzgZANtffuyuggAIKKKCAAgsXMACycHJvqIACCiiggAIKrLSAAZDpur96K/+NwGHlUr/q81b7qHdyBcioUtMfZwBkesNprnAp4Ia1C3wUuHqf1U/T3MdzFVBAAQUUUEABBZZEwADIknSE1VBAAQUUUEABBVZEoDkB2Wz2f5UvnAI8coDJqSvi1WzmPLYlGhQAWVFmmw3MY6wtG6xjf9l6xPoooIACCiiggAIzFjAAMmNQL6eAAgoooIACCigwlUA16Trttk5TVWKJT57HpLSTwEvc4ZtYtXmMtU1sTs9bO/aXrUesjwIKKKCAAgooMGMBAyAzBvVyCiiggAIKKKCAAlMJGAAZzDePSWkngacasp09eR5jbdmwHPvL1iPWRwEFFFBAAQUUmLGAAZAZg3o5BRRQQAEFFFBAgakExgmADEuC3pzcvCXwdGAP4ErAOcAxwMuB82u1vh3wVODWwFXKce8DXgZcOKR1lwQeCjwAyP22A34JfB34AJDcHb+ZQmiSSem7A08GdgUuB3wfOBb4x9K2aXKAvA14BPDdkmD6asAzgHsC1wR+BpwEHAScVmt3csE8DbgbsD3wC+DjwN8DZ4zgsxewH3B7IPf8Q6nDR4DXAj/oc43mmLlMsXkQcP1yTvrq7cA/l+v2q84dgccCtyl1SN+cB/wQOBH4MPDJxsmj5gC5PPAk4F4lZ0X6Ldf+HBDz9F+/8ingDkC1iuoaZdynT/LfvwayxdwhwHEDrjPqWMs43x9In+T6+RszYyxtT198a8A9tgWeCPwNcCMg7b6gtPWbwMfKc3Nuj2tM4t+8jAGQER42D1FAAQUUUEABBdosYACkzb1n3RVQQAEFFFBAge4JzCsA8gngLcCle5BlgjYTxj8qk/evLJO4zUO/VI5LQKNXuVYJqNx8QLecDuwzZFJ4UK+OOildXeM1JZjT65qZUN8bSHBnhz6JoIdN2NcDIJmsTwAiAYlmSaL2BDsSGMjEdYJB2/Q4LgGTBDXqwZL6YQlYvBXYdwBS7pWAxgd7HFMPgKSeqe8ufa6V8+/ZijRuAAAUwklEQVQNXNzj80zsP2XI4/eTEmirHzbMM8feogQ4kpy7X4nfQ4CLehxQD4A8H/h/PepRnfZM4NV9bjJsrF2inBuHfn9XJjCVAMfhPe5x4xL0GtTOnJbg3esb50/q36yGAZAhg9iPFVBAAQUUUECBtgsYAGl7D1p/BRRQQAEFFFCgWwLzCID8J7ATkOBDJnuTaH0r4FFltUYE31Um5d9f3rJ/HZA30LNS5IASKMhxBwPP6UGelR5fLqsZfgu8ubyBnwnWvNV+F+BA4LLAmWV1yM8n6Lphk9L1S2ZiOhPFKVkR8QrgP4AEERKEyef5elYXXHnKAEiCKQkMJagR46w++GMJejyvBJ5i8ddAAklp+6uAzwNbAPcr9cnfJ/laVlU0Sz5LUCJ1T8l/v7d4JkixW1npkEDU74C/Kisd6tepB0BOBm5VVnrkWj8tqy1eCGRyPuXxwJsaFclqhSq48tWyqierRtKmrGjYGbhzqU9WRNTLsABIjs/4vEJJQp4A078BCaZkDGcFUxVge0+fQFAVAElg74olgJNAWIJPcdm9rLRJXROgSACoV8Bp2Fh7A/B3pXEnlJUpGdtZYZI6ZnzFIiXBsay2qpesQvlL4PfleclqlAQhE1jJ6qGMgfsAhzYCINP4N8eUAZAeD5pfUkABBRRQQAEFuiRgAKRLvWlbFFBAAQUUUECB9gvMIwASlUx2Z/I9k7P1chRw/zJZnwns44G/Lf+ujsu2Vpk8zoRsJqKrLZfq10kA5cFlG6ZsBXRWj67Im/2fKQGHbLuVt/PHLcMmpavrZeuu1CEBl2xPlbpncrleshLjoyUAka8fWbaVqh8zbMK+WgGSc7KNWO7T3MIqKwCqN/gTKMkWRwlO5L/rJStvsiIhJdsqJaBUL9luKisJMmGe7ZyyeqNZEjiIcSbes/VWJvvrpR4AyXUSmErAoF4SNPgacFUgAY7mip5sj/Ww4nqTEvjpUZX/CT4kqDKOZzUec85jgCMa5/9F2bYqYywlK3ia21hVAZB8nr6PdbZ7q5e4JGiRvwf/qQTnmm0YNNbyLGV7qn71zNcTaPtQWfGTelyvtqXYjrVx0muFR1WX1C+BmqwMqso0/s02GgDpNXL9mgIKKKCAAgoo0CEBAyAd6kybooACCiiggAIKdEBgHgGQXDMT4nlLv1kykVzlaUhwJPkompPWOeeRwL+UkzMhnonxqiSfRVaXJFByjyH5GbKC5Fll5UVzdcAo3TdqACSBhAQUUhLgycqWXuUw4Anlg2kDILlO8mY0y5bFNBPiKclJ0it4cZ2ymiPHZLVMJuarkr9bvg1ct+QuSZ6RfiXXT/6NlBuU86pj6wGQrIrIiopeJatlstIn3gmq1FfrZOI/AYCjgfsOqEevjwYFlLIV1PfKOIpP2tGrZLzFIitn0s5qRUx1bD0AkkBRr63AcuxnS8AqgaYEnJpl0FjLlnIJoGVcZXz1K1lJk2BSSoJN/7/8d/LsJECV0nyehpFO49+8tgGQYdp+roACCiiggAIKtFzAAEjLO9DqK6CAAgoooIACHROYRwDkKwPyPOQt/azqSPn3kvOhF2kmiL9YPsi2PMmrUJVqhUMCKFs3Vo80r5XJ6iqBdfJuZMJ7nDJqACQrOzLhnDfnsxokWx31KtkC6gvlg2kCIKlXtgvrFTzK5RMwummpT7YLq9rRrFOSoWd7smx7VM+xkQDWqeXg25Ztyvq5ZUuvKk9LErRnxUBV6gGQbL+U7bh6lUzqZzVGSlbuZBu1qsTp4WXc3HrEpO3VuYMCIFlBlJVEKQ8ouVn6tTGBjwRIeo25KgCSlTax7pXDJNfNqpyM3Wrrrua9+o21jPGMq2xVlVwr2aJrUMlKn4yNFwEvKQfWg13Zpu1pQ65R/3ga/+ZtDICMAe+hCiiggAIKKKBAGwUMgLSx16yzAgoooIACCijQXYF5BEAykf3APmSZxE2uipTkpMjqjF6lvmVPJr/fUTsoSbn3m6BLMnmenBzjlFEDIMnt8X/K6pY7DbhBVhEkaXiSw08TAMkkdwIt/Uq2W0py8wRbkqujX0lAKKtwstrm0bWDEsjIdlvjlmfXVsLk3HoAJIGS5pZo1fWzuiGrHFL2KNtqVZ/F8+PlH0lCnsBZAk7ZeisrgQaVQQGQbIv23HJy8picPeBCCSakLSnNVS5VAGSYdYIRyXeSAElWLzVLv7F2hx7bho3SL2+s5QzJ8dWYyH9nlUhWk6TunxvQLzl2Gv9mPQ2AjNJzHqOAAgoooIACCrRYwABIizvPqiuggAIKKKCAAh0UmEcApNfEfp1ulKBCth2q8npkO6z6ZHzyHCQXw7gl2281808Mu8Yodc01MjGffBF5Oz9v6Q8qPyx5TaYJgCTHQ4z6lWpSPsnREwToV/pNSNe39BpmVP/8oFqgIF+vB0AG/S00LPdJVk4kYJbtveoluTaywieT/Vl51CyDrpvtwx5XTsh2Yb8d0NAcV203lrwrSRxflVGth1n0G2tZnZLk8+OW5vjKFnAJTmZFT70kN0uCIP9anrOM5WaZ1L95HQMg4/aixyuggAIKKKCAAi0TMADSsg6zugoooIACCiigQMcF2hgASb6Gu5Yk4FVy6lG6KQGVrL4Yp4wbAHl3Sc4+6B5tCIAkH0fycqQkz0omrkcpPwbyv6oMm/SvjhsWAMlxWfGSbauSDySJxrep3Sf9lBUdL2hUctQASIJXvxvQwM0MgOwLZFylpB4nj9IRZdusZjL2nJoVHcmlkpUlO5XE7NUlzyjBxW/1uMck/s3LGAAZsfM8TAEFFFBAAQUUaKuAAZC29pz1VkABBRRQQAEFuinQxgBI8jZkIjxv7GdbpWpLrXn00KgBkCqokQTvi9gCa94rQB4LHF5As5XWiRPizjIAUq9CtlLbBUh+mCcB25YP7122yKqOXeQWWMNW2wyz6DfWEvBJIvKUhwHvnLAvep2WnCV3BvYvSdZzTPKvJA/LoDKqf/MaBkBm2HleSgEFFFBAAQUUWEYBAyDL2CvWSQEFFFBAAQUUWF2BNgZAnlG2Q0qvNbcjmnVPjhoAyQR1JqqTlPyqA5KgJxH4KaWSy7wFVj1Ze1aDHDwh7LBJ/+qyo6wA6VeFWwJfLB9mG6eH1A6cVRL0atu1QUnQ5xUAuTJwblmpkW24njBhXww7LblV7lkOauY5GXTuIP/meQZAhvWCnyuggAIKKKCAAi0XMADS8g60+goooIACCiigQMcE2hgAuSHw9TIhPErOjWm6bNQASJK5V0GCbC90dJ+bvqGWmHqZAyB5wz+rTK4JnAnsXPKcjGu5iABI6pTA0xXKSolsj1aVQQGQqwNJAp+E5McNyCuTBOlJtn4p4MPAPg2EeecAye2y7VVyd/wCuB5w3rgdMcLxBwCHluNuB3x2hHOqQ/r5Ny9hAGQMVA9VQAEFFFBAAQXaKGAApI29Zp0VUEABBRRQQIHuCrQxAJLeeA/wwNItTwdeM6CLrlNWilR5FMbpzVEDIFn1kRwjSdKdSd6sTMlb+/WSnAsfB7YoX1zmAEiqmJUGh5W6Jnl2tl/qlyh8a+DhwOsbbZ5FAORvgWOA3/TpuPpqlTcBj68dN2xlSdp1/3L8fkD6pF4uXYIe1bZme5dgSf2YRQRAct+sQkk5AbgXcEEfj+QzeQxwRC1ole3CUrK9Va+Sv1OzAiT5XjLmkzA927qlTOPfvJcBkD4d4JcVUEABBRRQQIGuCBgA6UpP2g4FFFBAAQUUUKAbAm0NgFwR+AKwY+mGTAq/HTitTNInt8HNgbuV3AZZkVFNdI/Tc6MGQHLNBGJeXS6e5NNJIv4fwGXK6oKnAj8CLgtkW6NlD4Dkb5f3lzwbaVYSZCfAkDb9HEjQ40ZAggzZOuki4EoN3FkEQDJpnoTnmaBPPydBd5LZp493B54MZDwkF0wCT9UWY6nKsABIVrh8taweuRj4lxJc+1lpW7Zbq4IH7y3BgOb4WUQAJPc8BDiw3DzjKNthJTfLT0ounKwMSb6WrEDKapitgF+W4xPceWt5Zj4IfKmMxaxqSYDwkWULtxwe5+RSqco0/k0rAyDjfPfxWAUUUEABBRRQoIUCBkBa2GlWWQEFFFBAAQUU6LBAWwMg6ZKrAZmUzqTvsJLJ30cNO6jH5+MEQHJ6thDKVkK9yvklEJJVBzu0IACSNmSCPG3Kqophf8tkBUwVkKraP6sASLwGlaxMSR3f1jhoWAAkhyfh97FAtsTqVz5QcoskyNMsiwqAxP+F5X/VKqJ+9U2AKEG2atVMFQAZ9ghkq60EsxJUqUoVtJjEv3mOAZBhPeDnCiiggAIKKKBAywWG/dHQ8uZZfQUUUEABBRRQQIGWCbQ5AFJRJyfDg0qOhARFMmmf7YG+XfIYZPukrByYpIwbAMk9sl1RgiC7ltUe3y/bKL0KyH8PmgQeNmGfCf5HlPwc1x7QoFEn5UedkL4p8NiyoiI5MS5fVhck6JEE5MmhkSBCc4usWQRAskIhWzPtASQ5d/o4KxySkDyrUj4BvLHkKmmSDPOsjk97nlRWPiTHTFbpJGD1uRJUyaqJfmVU62EWo461eCTYc8cScMrqmFicDXy55EHJiqcLaxXOtlg5/q/LuMwWV9m2LYGUH5cVIdlWLjl1shKmXqbxb5qNOt4meVY9RwEFFFBAAQUUUGAJBAyALEEnWAUFFFBAAQUUUEABBUYUGHVSesTLeZgCKy1gAGSlu9/GK6CAAgoooMAqCBgAWYVeto0KKKCAAgoooIACXRGoAiBZYVAlBM/2Qln5YFFAgcECWY2VFTVV+WjZaqxX/hstFVBAAQUUUEABBTogYACkA51oExRQQAEFFFBAAQVWRqAKgNQb/OmyFdTKINhQBSYUyDZtvYKFBkAmBPU0BRRQQAEFFFBg2QUMgCx7D1k/BRRQQAEFFFBAAQX+JGAAxNGgwOQCBkAmt/NMBRRQQAEFFFCglQIGQFrZbVZaAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFBgkYAHF8KKCAAgoooIACCiiggAIKKKCAAgoooIACCiigQOcEDIB0rkttkAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACChgAcQwooIACCiiggAIKKKCAAgoooIACCiiggAIKKKBA5wQMgHSuS22QAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKGABxDCiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooEDnBAyAdK5LbZACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoYAHEMKKCAAgoooIACCiiggAIKKKCAAgoooIACCiigQOcEDIB0rkttkAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACChgAcQwooIACCiiggAIKKKCAAgoooIACCiiggAIKKKBA5wQMgHSuS22QAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKGABxDCiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooEDnBAyAdK5LbZACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoYAHEMKKCAAgoooIACCiiggAIKKKCAAgoooIACCiigQOcEDIB0rkttkAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACChgAcQwooIACCiiggAIKKKCAAgoooIACCiiggAIKKKBA5wQMgHSuS22QAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKGABxDCiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooEDnBAyAdK5LbZACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoYAHEMKKCAAgoooIACCiiggAIKKKCAAgoooIACCiigQOcEDIB0rkttkAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACChgAcQwooIACCiiggAIKKKCAAgoooIACCiiggAIKKKBA5wQMgHSuS22QAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKGABxDCiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooEDnBAyAdK5LbZACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoYAHEMKKCAAgoooIACCiiggAIKKKCAAgoooIACCiigQOcEDIB0rkttkAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACChgAcQwooIACCiiggAIKKKCAAgoooIACCiiggAIKKKBA5wQMgHSuS22QAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKGABxDCiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooEDnBAyAdK5LbZACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoYAHEMKKCAAgoooIACCiiggAIKKKCAAgoooIACCiigQOcEDIB0rkttkAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACChgAcQwooIACCiiggAIKKKCAAgoooIACCiiggAIKKKBA5wQMgHSuS22QAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKGABxDCiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooEDnBAyAdK5LbZACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoYAHEMKKCAAgoooIACCiiggAIKKKCAAgoooIACCiigQOcEDIB0rkttkAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACChgAcQwooIACCiiggAIKKKCAAgoooIACCiiggAIKKKBA5wQMgHSuS22QAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKGABxDCiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooEDnBAyAdK5LbZACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoYAHEMKKCAAgoooIACCiiggAIKKKCAAgoooIACCiigQOcEDIB0rkttkAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACChgAcQwooIACCiiggAIKKKCAAgoooIACCiiggAIKKKBA5wQMgHSuS22QAgoooIACCiiggAIKKKCAAgoooIACCiiggAIK/Dd08wMGvEEDfQAAAABJRU5ErkJggg==\")
"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"def ballbeam(IC, SP, Kp, Kd):\n",
" # initialize\n",
" t = 0.0 # time\n",
" x = IC # ball position\n",
" v = 0.0 # ball velocity\n",
" u = 0.0 # beam angle\n",
" \n",
" # initialize graphics\n",
" fig,ax = subplots(2,1,figsize=(8,6))\n",
" draw_beam(fig,ax[0]) \n",
" xplot,uplot = draw_plot(fig,ax[1],SP)\n",
" \n",
" # simulation loop\n",
" while (t < tf) & (x <= 1.0) & (x >= 0.0):\n",
" # calculate control\n",
" u = max(-ulimit,min(ulimit,Kp*(x - SP) + Kd*(v)))\n",
"\n",
" # update state\n",
" t += dt\n",
" v += -sin(u)*dt\n",
" x += v*dt\n",
" \n",
" # update graphics\n",
" update_beam(fig,ax[0],x,u,SP)\n",
" update_plot(xplot,t,x)\n",
" update_plot(uplot,t,u)\n",
"\n",
"# run simulation for one choice of initial position, setpoint, and control gains\n",
"dt = 0.05\n",
"tf = 10.0\n",
"ballbeam(1.0, 0.5, 2.0, 1.0) "
]
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"## Interactive Simulation\n",
"\n",
"Running the following cell will open a set of sliders with which you can adjust the initial position of the ball, the setpoint, and the control parameters $K_p$ and $K_d$. Adjust the sliders, then press the `Run ballbeam` button to perform the simulation. \n",
"\n",
"Try this out! For example, see if you can choose parameters to position the ball on the very tip of the beam without falling off."
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [
{
"data": {
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" alert('Your browser does not have WebSocket support.' +\n",
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" 'Firefox 4 and 5 are also supported but you ' +\n",
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"\n",
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" warnings.textContent = (\n",
" \"This browser does not support binary websocket messages. \" +\n",
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" }\n",
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"\n",
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"\n",
" this.ws.onmessage = this._make_on_message_function(this);\n",
"\n",
" this.ondownload = ondownload;\n",
"}\n",
"\n",
"mpl.figure.prototype._init_header = function() {\n",
" var titlebar = $(\n",
" '');\n",
" var titletext = $(\n",
" '');\n",
" titlebar.append(titletext)\n",
" this.root.append(titlebar);\n",
" this.header = titletext[0];\n",
"}\n",
"\n",
"\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
"\n",
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"\n",
"mpl.figure.prototype._init_canvas = function() {\n",
" var fig = this;\n",
"\n",
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"\n",
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"\n",
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"\n",
" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
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" this.root.append(canvas_div);\n",
"\n",
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" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
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"\tthis.context.webkitBackingStorePixelRatio ||\n",
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"\tthis.context.backingStorePixelRatio || 1;\n",
"\n",
" mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
"\n",
" var rubberband = $('');\n",
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
"\n",
" var pass_mouse_events = true;\n",
"\n",
" canvas_div.resizable({\n",
" start: function(event, ui) {\n",
" pass_mouse_events = false;\n",
" },\n",
" resize: function(event, ui) {\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" stop: function(event, ui) {\n",
" pass_mouse_events = true;\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" });\n",
"\n",
" function mouse_event_fn(event) {\n",
" if (pass_mouse_events)\n",
" return fig.mouse_event(event, event['data']);\n",
" }\n",
"\n",
" rubberband.mousedown('button_press', mouse_event_fn);\n",
" rubberband.mouseup('button_release', mouse_event_fn);\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
"\n",
" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
"\n",
" canvas_div.on(\"wheel\", function (event) {\n",
" event = event.originalEvent;\n",
" event['data'] = 'scroll'\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" mouse_event_fn(event);\n",
" });\n",
"\n",
" canvas_div.append(canvas);\n",
" canvas_div.append(rubberband);\n",
"\n",
" this.rubberband = rubberband;\n",
" this.rubberband_canvas = rubberband[0];\n",
" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
" this.rubberband_context.strokeStyle = \"#000000\";\n",
"\n",
" this._resize_canvas = function(width, height) {\n",
" // Keep the size of the canvas, canvas container, and rubber band\n",
" // canvas in synch.\n",
" canvas_div.css('width', width)\n",
" canvas_div.css('height', height)\n",
"\n",
" canvas.attr('width', width * mpl.ratio);\n",
" canvas.attr('height', height * mpl.ratio);\n",
" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
"\n",
" rubberband.attr('width', width);\n",
" rubberband.attr('height', height);\n",
" }\n",
"\n",
" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
" // upon first draw.\n",
" this._resize_canvas(600, 600);\n",
"\n",
" // Disable right mouse context menu.\n",
" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
" return false;\n",
" });\n",
"\n",
" function set_focus () {\n",
" canvas.focus();\n",
" canvas_div.focus();\n",
" }\n",
"\n",
" window.setTimeout(set_focus, 100);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" // put a spacer in here.\n",
" continue;\n",
" }\n",
" var button = $('');\n",
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
" 'ui-button-icon-only');\n",
" button.attr('role', 'button');\n",
" button.attr('aria-disabled', 'false');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
"\n",
" var icon_img = $('');\n",
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
" icon_img.addClass(image);\n",
" icon_img.addClass('ui-corner-all');\n",
"\n",
" var tooltip_span = $('');\n",
" tooltip_span.addClass('ui-button-text');\n",
" tooltip_span.html(tooltip);\n",
"\n",
" button.append(icon_img);\n",
" button.append(tooltip_span);\n",
"\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" var fmt_picker_span = $('');\n",
"\n",
" var fmt_picker = $('');\n",
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
" fmt_picker_span.append(fmt_picker);\n",
" nav_element.append(fmt_picker_span);\n",
" this.format_dropdown = fmt_picker[0];\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = $(\n",
" '', {selected: fmt === mpl.default_extension}).html(fmt);\n",
" fmt_picker.append(option)\n",
" }\n",
"\n",
" // Add hover states to the ui-buttons\n",
" $( \".ui-button\" ).hover(\n",
" function() { $(this).addClass(\"ui-state-hover\");},\n",
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
" );\n",
"\n",
" var status_bar = $('');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"}\n",
"\n",
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
"}\n",
"\n",
"mpl.figure.prototype.send_message = function(type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"}\n",
"\n",
"mpl.figure.prototype.send_draw_message = function() {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
" }\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1]);\n",
" fig.send_message(\"refresh\", {});\n",
" };\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
" var x0 = msg['x0'] / mpl.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
" var x1 = msg['x1'] / mpl.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0, 0, fig.canvas.width, fig.canvas.height);\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
" var cursor = msg['cursor'];\n",
" switch(cursor)\n",
" {\n",
" case 0:\n",
" cursor = 'pointer';\n",
" break;\n",
" case 1:\n",
" cursor = 'default';\n",
" break;\n",
" case 2:\n",
" cursor = 'crosshair';\n",
" break;\n",
" case 3:\n",
" cursor = 'move';\n",
" break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = cursor;\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
" // Request the server to send over a new figure.\n",
" fig.send_draw_message();\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
" fig.image_mode = msg['mode'];\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Called whenever the canvas gets updated.\n",
" this.send_message(\"ack\", {});\n",
"}\n",
"\n",
"// A function to construct a web socket function for onmessage handling.\n",
"// Called in the figure constructor.\n",
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" evt.data.type = \"image/png\";\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src);\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig[\"handle_\" + msg_type];\n",
" } catch (e) {\n",
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('')\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 = $('');\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 = $('');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('');\n",
" var button = $('');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" // select the cell after this one\n",
" var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
" IPython.notebook.select(index + 1);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
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\")
"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"dt = 0.05\n",
"tf = 20.0\n",
"\n",
"fig,ax = subplots(2,1,figsize=(8,6))\n",
"draw_beam(fig,ax[0])\n",
"update_beam(fig,ax[0],0.5,0.0,0.5)\n",
"draw_plot(fig,ax[1],0.5)\n",
"\n",
"# add sliders and run button\n",
"interactive(ballbeam, __manual=True, \\\n",
" IC = (0.0,1.01,0.01), \\\n",
" SP = (0.0,1.01,0.01), \\\n",
" Kp = (0.0,6.01,0.01), \\\n",
" Kd = (0.0,5.01,0.01))"
]
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"\n",
"## Theory\n",
"\n",
"The purpose of this section is provide a start on the analysis of the closed-loop dynamics of the ball on beam system. You can use this as a start on some exercises intended to introduce and reinforce key concepts of feedback control and the dynamics of second order systems.\n",
"\n",
"The starting point is the model derived above for the ball on beam system\n",
"\n",
"\\begin{align}\n",
"\\frac{dx}{dt} & = v(t) \\\\\n",
"\\frac{dv}{dt} & = - K_b \\sin(u(t))\n",
"\\end{align}\n",
"\n",
"where the beam angle, $u(t)$, is given by a proportional derivative feedback rule where\n",
"\n",
"$$u(t) = K_p (x(t) - x_{SP}) + K_d v(t)$$\n",
"\n",
"The first step of the analysis is to linearize the model for small values of the beam angle. By the Taylor series expansion for $\\sin(u(t))$,\n",
"\n",
"$$\\sin(u) = u - \\frac{u^3}{6} + \\frac{u^5}{120} + \\cdots $$\n",
"\n",
"For small values of $u(t)$, and replacing every instance of ball velocity $v(t)$ by $\\frac{dx}{dt}$ (including inside of the derivative $\\frac{dv}{dt}$), we get\n",
"\n",
"$$ \\frac{d^2x}{dt^2} = K_{b} u$$\n",
"\n",
"where\n",
"\n",
"$$u(t) = K_p (x(t) - x_{SP}) + K_d \\frac{dx}{dt}$$\n",
"\n",
"After some rearrangements, an equation for the closed-loop dynamics of the ball on beam system is given by \n",
"\n",
"$$\\frac{d^2x}{dt^2} + K_b K_d\\frac{dx}{dt} + \\ K_b K_p x = K_b K_p x_{sp}$$\n",
"\n",
"Use this last model in the following exercises."
]
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"\n",
"## Exercises\n",
"\n",
"1. Adjust the setpoint to 1.0 (i.e, the very tip of beam). Adjust the control parameters so that ball settles on the setpoint without falling off the end of the beam.\n",
"2. Using the approximate linear model for the closed-loop dynamics, consider the case of proportinal only control (i.e, $K_d = 0$). Perform a simulation. Use the model to predict the frequency of oscillation that you observe, and compare to your simulation results.\n",
"3. Predict the frequency of oscillation, and verify your results by simulation.\n",
"4. Critical damping correponds to the smallest value of $K_d$ with no overshoot. Use the approximate linear model, and derive and expression for $K_d$ that, for given values of $K_b$ and $K_p$, results in critical damping. Verify your results by simulation.\n",
"5. Choose values for $K_p$ and $K_d$ that provide a damping ratio of $0.7$. Consult a standard textbook for a definition of damping ratio. Verify your result by simulation.\n",
"6. Derive the transfer function from $x_{sp}$ to $x$. "
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