"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/javascript": [
"\n",
"(function(root) {\n",
" function now() {\n",
" return new Date();\n",
" }\n",
"\n",
" var force = true;\n",
"\n",
" if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n",
" root._bokeh_onload_callbacks = [];\n",
" root._bokeh_is_loading = undefined;\n",
" }\n",
"\n",
" var JS_MIME_TYPE = 'application/javascript';\n",
" var HTML_MIME_TYPE = 'text/html';\n",
" var EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n",
" var CLASS_NAME = 'output_bokeh rendered_html';\n",
"\n",
" /**\n",
" * Render data to the DOM node\n",
" */\n",
" function render(props, node) {\n",
" var script = document.createElement(\"script\");\n",
" node.appendChild(script);\n",
" }\n",
"\n",
" /**\n",
" * Handle when an output is cleared or removed\n",
" */\n",
" function handleClearOutput(event, handle) {\n",
" var cell = handle.cell;\n",
"\n",
" var id = cell.output_area._bokeh_element_id;\n",
" var server_id = cell.output_area._bokeh_server_id;\n",
" // Clean up Bokeh references\n",
" if (id != null && id in Bokeh.index) {\n",
" Bokeh.index[id].model.document.clear();\n",
" delete Bokeh.index[id];\n",
" }\n",
"\n",
" if (server_id !== undefined) {\n",
" // Clean up Bokeh references\n",
" var cmd = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n",
" cell.notebook.kernel.execute(cmd, {\n",
" iopub: {\n",
" output: function(msg) {\n",
" var id = msg.content.text.trim();\n",
" if (id in Bokeh.index) {\n",
" Bokeh.index[id].model.document.clear();\n",
" delete Bokeh.index[id];\n",
" }\n",
" }\n",
" }\n",
" });\n",
" // Destroy server and session\n",
" var cmd = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n",
" cell.notebook.kernel.execute(cmd);\n",
" }\n",
" }\n",
"\n",
" /**\n",
" * Handle when a new output is added\n",
" */\n",
" function handleAddOutput(event, handle) {\n",
" var output_area = handle.output_area;\n",
" var output = handle.output;\n",
"\n",
" // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n",
" if ((output.output_type != \"display_data\") || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n",
" return\n",
" }\n",
"\n",
" var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n",
"\n",
" if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n",
" toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n",
" // store reference to embed id on output_area\n",
" output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n",
" }\n",
" if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n",
" var bk_div = document.createElement(\"div\");\n",
" bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n",
" var script_attrs = bk_div.children[0].attributes;\n",
" for (var i = 0; i < script_attrs.length; i++) {\n",
" toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n",
" }\n",
" // store reference to server id on output_area\n",
" output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n",
" }\n",
" }\n",
"\n",
" function register_renderer(events, OutputArea) {\n",
"\n",
" function append_mime(data, metadata, element) {\n",
" // create a DOM node to render to\n",
" var toinsert = this.create_output_subarea(\n",
" metadata,\n",
" CLASS_NAME,\n",
" EXEC_MIME_TYPE\n",
" );\n",
" this.keyboard_manager.register_events(toinsert);\n",
" // Render to node\n",
" var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n",
" render(props, toinsert[toinsert.length - 1]);\n",
" element.append(toinsert);\n",
" return toinsert\n",
" }\n",
"\n",
" /* Handle when an output is cleared or removed */\n",
" events.on('clear_output.CodeCell', handleClearOutput);\n",
" events.on('delete.Cell', handleClearOutput);\n",
"\n",
" /* Handle when a new output is added */\n",
" events.on('output_added.OutputArea', handleAddOutput);\n",
"\n",
" /**\n",
" * Register the mime type and append_mime function with output_area\n",
" */\n",
" OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n",
" /* Is output safe? */\n",
" safe: true,\n",
" /* Index of renderer in `output_area.display_order` */\n",
" index: 0\n",
" });\n",
" }\n",
"\n",
" // register the mime type if in Jupyter Notebook environment and previously unregistered\n",
" if (root.Jupyter !== undefined) {\n",
" var events = require('base/js/events');\n",
" var OutputArea = require('notebook/js/outputarea').OutputArea;\n",
"\n",
" if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n",
" register_renderer(events, OutputArea);\n",
" }\n",
" }\n",
"\n",
" \n",
" if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n",
" root._bokeh_timeout = Date.now() + 5000;\n",
" root._bokeh_failed_load = false;\n",
" }\n",
"\n",
" var NB_LOAD_WARNING = {'data': {'text/html':\n",
" \"
\\n\"+\n",
" \"
\\n\"+\n",
" \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n",
" \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n",
" \"
\\n\"+\n",
" \"
\\n\"+\n",
" \"
re-rerun `output_notebook()` to attempt to load from CDN again, or
\"}};\n",
"\n",
" function display_loaded() {\n",
" var el = document.getElementById(\"1001\");\n",
" if (el != null) {\n",
" el.textContent = \"BokehJS is loading...\";\n",
" }\n",
" if (root.Bokeh !== undefined) {\n",
" if (el != null) {\n",
" el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n",
" }\n",
" } else if (Date.now() < root._bokeh_timeout) {\n",
" setTimeout(display_loaded, 100)\n",
" }\n",
" }\n",
"\n",
"\n",
" function run_callbacks() {\n",
" try {\n",
" root._bokeh_onload_callbacks.forEach(function(callback) {\n",
" if (callback != null)\n",
" callback();\n",
" });\n",
" } finally {\n",
" delete root._bokeh_onload_callbacks\n",
" }\n",
" console.debug(\"Bokeh: all callbacks have finished\");\n",
" }\n",
"\n",
" function load_libs(css_urls, js_urls, callback) {\n",
" if (css_urls == null) css_urls = [];\n",
" if (js_urls == null) js_urls = [];\n",
"\n",
" root._bokeh_onload_callbacks.push(callback);\n",
" if (root._bokeh_is_loading > 0) {\n",
" console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
" return null;\n",
" }\n",
" if (js_urls == null || js_urls.length === 0) {\n",
" run_callbacks();\n",
" return null;\n",
" }\n",
" console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
" root._bokeh_is_loading = css_urls.length + js_urls.length;\n",
"\n",
" function on_load() {\n",
" root._bokeh_is_loading--;\n",
" if (root._bokeh_is_loading === 0) {\n",
" console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n",
" run_callbacks()\n",
" }\n",
" }\n",
"\n",
" function on_error() {\n",
" console.error(\"failed to load \" + url);\n",
" }\n",
"\n",
" for (var i = 0; i < css_urls.length; i++) {\n",
" var url = css_urls[i];\n",
" const element = document.createElement(\"link\");\n",
" element.onload = on_load;\n",
" element.onerror = on_error;\n",
" element.rel = \"stylesheet\";\n",
" element.type = \"text/css\";\n",
" element.href = url;\n",
" console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n",
" document.body.appendChild(element);\n",
" }\n",
"\n",
" for (var i = 0; i < js_urls.length; i++) {\n",
" var url = js_urls[i];\n",
" var element = document.createElement('script');\n",
" element.onload = on_load;\n",
" element.onerror = on_error;\n",
" element.async = false;\n",
" element.src = url;\n",
" console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
" document.head.appendChild(element);\n",
" }\n",
" };var element = document.getElementById(\"1001\");\n",
" if (element == null) {\n",
" console.error(\"Bokeh: ERROR: autoload.js configured with elementid '1001' but no matching script tag was found. \")\n",
" return false;\n",
" }\n",
"\n",
" function inject_raw_css(css) {\n",
" const element = document.createElement(\"style\");\n",
" element.appendChild(document.createTextNode(css));\n",
" document.body.appendChild(element);\n",
" }\n",
"\n",
" \n",
" var js_urls = [\"https://cdn.pydata.org/bokeh/release/bokeh-1.4.0.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-widgets-1.4.0.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-tables-1.4.0.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-gl-1.4.0.min.js\"];\n",
" var css_urls = [];\n",
" \n",
"\n",
" var inline_js = [\n",
" function(Bokeh) {\n",
" Bokeh.set_log_level(\"info\");\n",
" },\n",
" function(Bokeh) {\n",
" \n",
" \n",
" }\n",
" ];\n",
"\n",
" function run_inline_js() {\n",
" \n",
" if (root.Bokeh !== undefined || force === true) {\n",
" \n",
" for (var i = 0; i < inline_js.length; i++) {\n",
" inline_js[i].call(root, root.Bokeh);\n",
" }\n",
" if (force === true) {\n",
" display_loaded();\n",
" }} else if (Date.now() < root._bokeh_timeout) {\n",
" setTimeout(run_inline_js, 100);\n",
" } else if (!root._bokeh_failed_load) {\n",
" console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
" root._bokeh_failed_load = true;\n",
" } else if (force !== true) {\n",
" var cell = $(document.getElementById(\"1001\")).parents('.cell').data().cell;\n",
" cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
" }\n",
"\n",
" }\n",
"\n",
" if (root._bokeh_is_loading === 0) {\n",
" console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
" run_inline_js();\n",
" } else {\n",
" load_libs(css_urls, js_urls, function() {\n",
" console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
" run_inline_js();\n",
" });\n",
" }\n",
"}(window));"
],
"application/vnd.bokehjs_load.v0+json": "\n(function(root) {\n function now() {\n return new Date();\n }\n\n var force = true;\n\n if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n root._bokeh_onload_callbacks = [];\n root._bokeh_is_loading = undefined;\n }\n\n \n\n \n if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n var NB_LOAD_WARNING = {'data': {'text/html':\n \"
\\n\"+\n \"
\\n\"+\n \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n \"
\\n\"+\n \"
\\n\"+\n \"
re-rerun `output_notebook()` to attempt to load from CDN again, or
\"}};\n\n function display_loaded() {\n var el = document.getElementById(\"1001\");\n if (el != null) {\n el.textContent = \"BokehJS is loading...\";\n }\n if (root.Bokeh !== undefined) {\n if (el != null) {\n el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n }\n } else if (Date.now() < root._bokeh_timeout) {\n setTimeout(display_loaded, 100)\n }\n }\n\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n\n root._bokeh_onload_callbacks.push(callback);\n if (root._bokeh_is_loading > 0) {\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls == null || js_urls.length === 0) {\n run_callbacks();\n return null;\n }\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n\n function on_error() {\n console.error(\"failed to load \" + url);\n }\n\n for (var i = 0; i < css_urls.length; i++) {\n var url = css_urls[i];\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error;\n element.rel = \"stylesheet\";\n element.type = \"text/css\";\n element.href = url;\n console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n document.body.appendChild(element);\n }\n\n for (var i = 0; i < js_urls.length; i++) {\n var url = js_urls[i];\n var element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error;\n element.async = false;\n element.src = url;\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n };var element = document.getElementById(\"1001\");\n if (element == null) {\n console.error(\"Bokeh: ERROR: autoload.js configured with elementid '1001' but no matching script tag was found. \")\n return false;\n }\n\n function inject_raw_css(css) {\n const element = document.createElement(\"style\");\n element.appendChild(document.createTextNode(css));\n document.body.appendChild(element);\n }\n\n \n var js_urls = [\"https://cdn.pydata.org/bokeh/release/bokeh-1.4.0.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-widgets-1.4.0.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-tables-1.4.0.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-gl-1.4.0.min.js\"];\n var css_urls = [];\n \n\n var inline_js = [\n function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\n function(Bokeh) {\n \n \n }\n ];\n\n function run_inline_js() {\n \n if (root.Bokeh !== undefined || force === true) {\n \n for (var i = 0; i < inline_js.length; i++) {\n inline_js[i].call(root, root.Bokeh);\n }\n if (force === true) {\n display_loaded();\n }} else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n } else if (force !== true) {\n var cell = $(document.getElementById(\"1001\")).parents('.cell').data().cell;\n cell.output_area.append_execute_result(NB_LOAD_WARNING)\n }\n\n }\n\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n run_inline_js();\n } else {\n load_libs(css_urls, js_urls, function() {\n console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n run_inline_js();\n });\n }\n}(window));"
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/javascript": [
"\n",
"(function(root) {\n",
" function now() {\n",
" return new Date();\n",
" }\n",
"\n",
" var force = true;\n",
"\n",
" if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n",
" root._bokeh_onload_callbacks = [];\n",
" root._bokeh_is_loading = undefined;\n",
" }\n",
"\n",
" var JS_MIME_TYPE = 'application/javascript';\n",
" var HTML_MIME_TYPE = 'text/html';\n",
" var EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n",
" var CLASS_NAME = 'output_bokeh rendered_html';\n",
"\n",
" /**\n",
" * Render data to the DOM node\n",
" */\n",
" function render(props, node) {\n",
" var script = document.createElement(\"script\");\n",
" node.appendChild(script);\n",
" }\n",
"\n",
" /**\n",
" * Handle when an output is cleared or removed\n",
" */\n",
" function handleClearOutput(event, handle) {\n",
" var cell = handle.cell;\n",
"\n",
" var id = cell.output_area._bokeh_element_id;\n",
" var server_id = cell.output_area._bokeh_server_id;\n",
" // Clean up Bokeh references\n",
" if (id != null && id in Bokeh.index) {\n",
" Bokeh.index[id].model.document.clear();\n",
" delete Bokeh.index[id];\n",
" }\n",
"\n",
" if (server_id !== undefined) {\n",
" // Clean up Bokeh references\n",
" var cmd = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n",
" cell.notebook.kernel.execute(cmd, {\n",
" iopub: {\n",
" output: function(msg) {\n",
" var id = msg.content.text.trim();\n",
" if (id in Bokeh.index) {\n",
" Bokeh.index[id].model.document.clear();\n",
" delete Bokeh.index[id];\n",
" }\n",
" }\n",
" }\n",
" });\n",
" // Destroy server and session\n",
" var cmd = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n",
" cell.notebook.kernel.execute(cmd);\n",
" }\n",
" }\n",
"\n",
" /**\n",
" * Handle when a new output is added\n",
" */\n",
" function handleAddOutput(event, handle) {\n",
" var output_area = handle.output_area;\n",
" var output = handle.output;\n",
"\n",
" // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n",
" if ((output.output_type != \"display_data\") || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n",
" return\n",
" }\n",
"\n",
" var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n",
"\n",
" if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n",
" toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n",
" // store reference to embed id on output_area\n",
" output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n",
" }\n",
" if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n",
" var bk_div = document.createElement(\"div\");\n",
" bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n",
" var script_attrs = bk_div.children[0].attributes;\n",
" for (var i = 0; i < script_attrs.length; i++) {\n",
" toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n",
" }\n",
" // store reference to server id on output_area\n",
" output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n",
" }\n",
" }\n",
"\n",
" function register_renderer(events, OutputArea) {\n",
"\n",
" function append_mime(data, metadata, element) {\n",
" // create a DOM node to render to\n",
" var toinsert = this.create_output_subarea(\n",
" metadata,\n",
" CLASS_NAME,\n",
" EXEC_MIME_TYPE\n",
" );\n",
" this.keyboard_manager.register_events(toinsert);\n",
" // Render to node\n",
" var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n",
" render(props, toinsert[toinsert.length - 1]);\n",
" element.append(toinsert);\n",
" return toinsert\n",
" }\n",
"\n",
" /* Handle when an output is cleared or removed */\n",
" events.on('clear_output.CodeCell', handleClearOutput);\n",
" events.on('delete.Cell', handleClearOutput);\n",
"\n",
" /* Handle when a new output is added */\n",
" events.on('output_added.OutputArea', handleAddOutput);\n",
"\n",
" /**\n",
" * Register the mime type and append_mime function with output_area\n",
" */\n",
" OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n",
" /* Is output safe? */\n",
" safe: true,\n",
" /* Index of renderer in `output_area.display_order` */\n",
" index: 0\n",
" });\n",
" }\n",
"\n",
" // register the mime type if in Jupyter Notebook environment and previously unregistered\n",
" if (root.Jupyter !== undefined) {\n",
" var events = require('base/js/events');\n",
" var OutputArea = require('notebook/js/outputarea').OutputArea;\n",
"\n",
" if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n",
" register_renderer(events, OutputArea);\n",
" }\n",
" }\n",
"\n",
" \n",
" if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n",
" root._bokeh_timeout = Date.now() + 5000;\n",
" root._bokeh_failed_load = false;\n",
" }\n",
"\n",
" var NB_LOAD_WARNING = {'data': {'text/html':\n",
" \"
\\n\"+\n",
" \"
\\n\"+\n",
" \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n",
" \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n",
" \"
\\n\"+\n",
" \"
\\n\"+\n",
" \"
re-rerun `output_notebook()` to attempt to load from CDN again, or
\"}};\n",
"\n",
" function display_loaded() {\n",
" var el = document.getElementById(null);\n",
" if (el != null) {\n",
" el.textContent = \"BokehJS is loading...\";\n",
" }\n",
" if (root.Bokeh !== undefined) {\n",
" if (el != null) {\n",
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":Points [α*,b*]"
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},
"execution_count": 8,
"metadata": {
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"id": "1004"
}
},
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}
],
"source": [
"points = hv.Points(\n",
" data=bs_reps,\n",
" kdims=[\"α*\", \"b*\"],\n",
").opts(\n",
" size=1,\n",
" alpha=0.5\n",
")\n",
"\n",
"points"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"There is a correlation between our MLE estimates for $\\alpha$ and $b$. We can also visualize the distributions for $f(\\alpha^*,b^*;\\mathbf{n})$ using the `bebi103.viz.corner()` function."
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
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Vkbxx09AsXOhBQ4vT0BZTFYpi2hUQAT3bcBjW09AifC7LJSzTEBS0m3przlSQMHNRRaWyU9An32s9T0VUkA2e92Xm0hQQP0pnBdQlVRAq6cOWjHyT0BOwf0aAuVQQLmg/OLzk1FAPk+lLWAbUEDq+TNqzBRPQKp6ScTblFFAYxrQMOGcUUDyaqaDVjZSQE+sT9i4a1JA63X30vSWT0BNpuMH69BRQKjPvJRR9VFAlK8pdGGqUEBFtb709lVQQE78ib/9ClBAKc1YHri4UECvRI4cxVVQQD2PzwMvElNAUR2PNQBOUED8+JT7maNQQNnpIhdOW1BAy15nuf/BTkBJBMP7CnBTQLeGSh0qJ1FA3eXdjsl0UUC/2EyfukxPQOwoX0oWylBAAmiB07frTkDOY3QlemFPQAE+g0+PxFJAR1rnpunwT0CVLDfuClNRQBxxxki9SVBA4eT1cVQUUkB6ecCU/hBPQJqLN39yTVJAGbb18uoIUECoKgx2jCNSQGJA7ez0NExA8dReStHEUkDlGtVzIiVTQJ2LjQ8pbFBAQ9w3q7AbUkAF3R8t/AxSQBJ0Bj6XC1JAyCZxQgGNUEDM0Qtz9UZSQA41CLwb6FFAK00MDKACUUBvy55HXc9TQEvdhj6CfFBAAInufSdSUEBiE8S7L85NQCLEL9EnGk9AguACkm9AVEA2kURqETlTQK9AsUOwSFNAGzXv0iDST0Dr4OP2K/lPQJlAzFQizVFApJxIDtXyTUAtxl3XbAJPQPnBTKwQYlBAZaBgu13bUUC+iTx0ZUxSQH7wQwPW21JApqVlVKVOUUAdULXtfRBRQDI06Nc4l1BAFxA8Wu7yT0DpnvD2rrlSQJbyCwRA0E9AB6jMqmv6UEBxyoMZoUtTQCkJuMNHSlBAlGPiwPVeUEA3fT4yyuBQQD23OQ/oykxAigxUjhLYUEDZ2EwNiXxSQIJ6kGqcclFAbtOw2/JsUECcCU9Fn2BSQPa5stqpK0tAt8Q1WKbBTkB635/e0YJRQEtUSs0+Ik1AXbrOyZumUkA/zlaIYMdRQP5ZKXFM9FJAlSAJ/8yHUkD8V1egx3NRQP8o4ZIPiE5A22sHaUeiUkCc5Q6ooo5VQL26FrwMf01Agi6gRnyiUUAkrVWQ0IhQQIZvcfHiulBAz0PQ+d+DUEC3RraNcNVQQNz0s6Uaa1BAn/9ZdCEIUkDW6dVm+URSQJL6zKL8kUtArcneURXgU0Cn4WT7k0lQQENZpUIL5E9AfST6zrHhTkCIYFZV1plSQAtBmsMMwVBAtc+Y8TGXUEC69xVXhH1PQNk7uWxC6FFAVU9MnYJ8UkDWKTAJeNxRQA5Fhhqvc1BArb4keNAkUUCPqIV4ayJPQK/Nl9xlm1JA8OddPak4U0AmsaIwzjRSQBCXhlC0FVNAI0+T19APU0BUGfuYyd5PQN9LhRBpM1JAG6CziClwUUAUfRtPEBpSQOjdPrSYM1BADn0zqtKkTkCenLepYPxQQPtXeMndBFBA90bvKIbdUkD/3fZhEC9TQIfNCWmnsVBA04IbNtKSTUD04wiiG11SQDD4zknZoFBAwjx+FeStUEAtfVo7Z8RNQJc3XE1iXVJA3avoQDP0UEBbT1XMlM5QQIkOWWVmK1RANUu+CT80UEC94YX/I7BRQCAE5NxowlJAJer9Hlb0UkBFcjuW4J1TQBUFSyb8xVNACq5Cqy3/UUDZdYknjOBTQBSzePMlQlFA9h3UKfiqTUA0dX4YgiBTQNX8w0WvX1BABk7j/7WRUECD/Ra+WENRQDjWCMpWA1JAks7yslWrUEC/pxCi2AxRQPXJFLKfLlFAFyvEZAPjUECrPtIR0xRSQNT40ZTtbFFAvW7HTIz0UED9qKjGcVJSQBtrwFzgiVdA+kpzLQTxUUA6fmH7MrtSQLpD9GXF41FA03tZnfi6UEALvO9kJb9QQBv3c741XFFA+015MK3DUEDY97A2g2VRQGLVk0qr4VFAjbccVYlMUkDzyyGwyMNPQO1HdulGtVBAhMrHR+zrTEDwRmVhzlJRQNUdr/nwI1FAIY3AYiyJUUDZOaJlFadQQEfUJ5AzO1BAwFcMhIOOUEBW6mdfwfFRQJmSM7ew+1BA28QQLmyuTEDXUA/ipOJQQICKMb9uvlFAcVXDx+9nUEA4RkTk3IJSQGkGYbj8NFJA89JE5idFU0CG24ZbrXtOQHg7IUV6lVdAoypMJYjmUUDPiXkepK5OQHj5KVxHilJAWkOknFIOUkB/Z0E/5FFQQF2uvf6hj1FAF/TLgA3rTkDVL/cT5IVPQEMvJeuFp1JAmk2L/gPLUUDjtsYGrA5QQK25l8kneVVA/P94eKTMUEBvy8+fsOJQQP9X6M/x2lBAr43M/SR9UEB9+28WmDRQQDsO4CvH4EpAwy2BC3ViU0ByOGrjo1xQQI771nM0/1JAkjoXaG/aUkDURm7ehaFQQNVapQGu0lNAozBW5xx3T0BNc01SHndRQKfwdTyos1JALSVVB2TtUEDXGf1ybFZRQJc4M+A/O1JAuMwIE4brT0AMAQV4qwJQQF9OrntDT1BADS8F8pJrUkBieektwSpRQG8pwcGzKE5AN38pzaI/UECPQ0sqcFRMQCvpQPplRlNAgDV8oJX2U0CopjWAzUFSQPCf5BHymFFAnSsYxm8aU0De2Erx13hQQFVGvc3saVBASxogKiGTUEB3thcBc+ZSQDAkLQdSFU9AoWotiLrVVED8tHEu4a9PQMqeR0QmfVRAS/l4zmpbUkBW0ygBqslMQG3VFiQMZlJAHrY3HRmRUUBGMNwQqgJTQDUX4nrkJFJAGIikaRanUUBSTFPh5T5QQIaAFIb+i1FAyHKldTKbUEAKiOiB6L1MQHkPypuSGE9AN6f150p4U0DHWCclyAxSQAC8SNtHWlJAQX50lxloUECduyjfTh5TQN9o1kAYVVRAUC/kGlOiU0BE4Lv2LtdQQFnvizFJBVJAQVDSTe6oTkCT35N5rflNQFzVf1OtAE9Ard7TEdR3TEAkm5T3mNtRQEUbrtIHB1FAmVNH8BhBTUAcV2Zd6KpRQIjFKdL5KlBArhA4PmC9TkC1xPmy3C9TQNXxDXb1t05AwxsQxpzlUEBCAKRhrAtRQJJk2hFCAFJA3T9qC6OhUUAVRDRNeABRQDwDik7sGFJA467ecWXoUEAMN8vohlBQQKxfWNsiGFRAH4Iln89LUkCF83O5pfVTQKqijH9knVFAyBB5uJwoTkAjzAcgaf5RQKmnQYgBR1BAU+Po8Kb0T0AlprMD9MNQQAEzwGmh5lBAAJ4nqQ+JT0Dwd0wIDt1UQDQPhiv7PFNANUWAThkXUECIVJcqr2pRQE5ZobfnIE9AytkN8t47T0A101KgxlVRQEnoj9TcXlRAMxShCR8sUUBxWcsUMq1SQPnwAzVdRk9AkEy8WsMdU0BGKdq1krBSQDG8p4LlS1JAF1G+k1GpUkCSptmZCX5UQKxVzqknTVFAo206NAkHTEBB+6+UvDVSQJgR/nWffVBA/3+tIpflU0AW41AjKTxTQONI+/Lb1UxAOmL9RkgeVEAaSgYUGxxQQEkCIjaZ8lJARYz/8uU5UkBQoaoA1S1SQGZuhbM94FNA+uu02DJGUECP8ayL6LhTQG8yG4Qs9FNAVUj9GootUUBsO91LTvxSQOGWKjTtQlFAnykh6ycdUUDr35Jq5CNQQLMTNrIbhlBAeCKfIVBeUUBOdUySnAhQQFUWPqq8tVFAzRop/awnUUBJDiV/RLZOQFo8UG+uw09AUOOE+Uh6UUDy9Q8qmchRQFmzcZHuDFBAdu07Ogo+UkDjQHnkkDFRQNzsjkAzbFFASQQ/0zhFUEDN74cmhzVSQDTc/96GLlJAqRlg8Cc5TkDPs/PXKxRRQKIr72FdTlFAKvn/omTjUEDd2xNmLX5QQC5yMo0y50xAQyh6F27tTUAzl1p8uxJRQAmSqphH6VFAVpITHGqMUEDkVzwGimRRQDYh3ep+bFFAiT/GMTtfVEAs8qRFzHFRQIlknkT1sVBAF0NFONpeUkDsLJN7uFFQQPxWcp2epE1Arh1sTlLNUEAuLt1m3DtOQMirQClMklFAXpqY664aUkCi2qtEROlQQLhhSL1m7VRA2k96DYdfT0CtHXZDuvNNQDfQ6udB2FJAtYSClMqyU0Crsu5QMjdTQEK4EHckRlFA4yfg0jKeTUApVm3YqRlUQOaCwjIbAU5AgNE2dGTsUkC8DFt3ofNRQHof9nQvv09ArRyzHPXrUkAi1BU9dFBTQFH+VOvQh01AHwhyUoKyUUB3mIiwsFhQQEcEGVyb3lBAgVcO2zdxTUD5JsJg5/9RQBD3ngJmd0xALmJpLIXlUUBrjfBKiaFQQF2hy3JC81FAoh9StYG3UkAiJUos1/dTQIlCqNm+/UxAGFZm1NGFUUDDWswF9Z1PQKnrMiUk21FA2etUNdgcT0BzoEA4J9tSQGEaJxOHo1RA42PaBrf+TkD4To1kR7dQQHwzN9g+iVBA16DO9I6XT0CMlTUOUDJQQAmqk71faVBA9BH1dg/3VEAadkt6wC5RQPwD3WiKRlRAlP25Kgs1UEA3BsTq795OQGLN+5i80k9A/UlIParwTkCuPCZdrhZRQAWj5sXP+VBA2FGEVmgtU0B6OXkP02xQQDfVjh1zjFJAab3cgsB0UEAbDzjBP6xSQOtzqwIzmU9AGd99L3q8UEDNNZ1g1Y1RQG1GDhhaVFFARzSmlEsAUUBgB+G2hBNQQH1QYk5isk1AJ9ceZKbUTkB1k/GS4HJRQIApWcjmuFFA3U+JCH2nUEDzlE2xEVJQQH76sU0tE1RA7IQuBqwTUUBuqftrcXdQQJ7DFFsVE1JAcGfKhxdSUEDMAbtZY1pPQC5yt2vFVFFA7g9LrFn3T0CVF3oP+uJOQO+aZkdnPk5A3iT/zlJVUUBBk3JDKp5MQKGsIOjUF1FAZ4NbddlyUUDqlxgQ2SJPQF4Mm8kt9E1A2UJTt+rLUUDuZBIG8fJMQJRg9DzMVFNAeAjoYQUEUEBk3kjoC/VUQOtMh008nlFAkqMEnByAUUCvfUFTRi5QQLrNbotZd1BA3ysAFM2zUkAewpjkPKBPQFjaMlbku1RAUkCvELkQT0AjyZgAARBSQF0Lkbmis1JAEDz+EukEUkAI14Y7Xg5UQLUIuuST9FBAq8P3640QUEA6LyilKc5SQLGg4URBD1FAzR2KBhngUUDWfbxP8v9QQGRMUetWKFBAIUyMTdB4UUBoaY4ye2xTQOt6kiPnelJAzxdV/ZY8UEARVD8ZZbpRQBdHtnXFOFJAHS1ALRrLU0C4awOgU19RQH9aGh9au1NA5hbhumB3UEBw+k/mLUdRQM/LOAL1zFFAhQ09Ne9kUUAvPoLm/NBUQEBMQkTo2FRAT8+wOa79UkCXSqa50txUQPqNaplMR1JAt95hn1GsUUDl9H2ZVF5QQHWUUJ3FzlFAgThJ6hhmUUCX+nHmYGxSQG/OwOJuQlBAoOgIo+VTUUBL9jHUGH1SQK+C5RYbYFNAEJR/G5PJTkCE1ZOUDapRQNswWyh54FNAkocZsHB/TkCWOTDVm5dQQNOv4Cv18lFAHbJZ7E2nUUDKG7qR3EZOQAuewXDB+VJARnX5zaoLUUDv8YgNjeZQQMnExqtIk1BAJY++ZQViTkDD7J9Q//ROQA4Izgqnn1FABsvqkvCQTkBvXlmC+JRQQBek4eUeNkxAwSEJgCZMU0DdAicO9vdSQEER1q09llFANXWew4ogUEDLU7+8kkZQQG2tdgFXdFFAKiYymtcdUUBowf3VzadQQP4bIfL/rlNAL/77yA+IT0Db6ZwrRMpUQP2BBExqBFBA+otdh9txUUCB/fNhGtVSQCwSswth/FBA3WmTM+CzUED+a3CBFMlJQB9c5JAtG01APC+DcQHmUEASJC51RMVRQAbW54gTmlBAY4TV/YbmT0AepbSfTIVUQMXB7VinaVFAOgSb5BwhU0CnoyZVRM1OQGGBMn16B1NAmTYOCPvjT0Azo1tq5SZTQCoVpdQDXFBAPYO5eIVMUECss4nuXyJRQBMeYXVIzlNAX+FPu5WSUkA2cGNzFKVSQNjZGA9a4FFA3kz4WhK7UkBN9taTUFhRQMTrmwk5RVRAw0wZoxEDUECucxdkbyJSQN/1T/0XrU5A0Yuwkm0sUUBzSETseENRQLjau5TLjlFAxiIqfj1kUEBmmgssMOxSQDNGGdyZFFNA6t1+8oLvUECXiy1DrM1QQMvBN4xn0VBA/fHLTAZ9UUAfxmJiQttSQJ0y43ohU1FAy8aya6T2UkCiP+qBxTdQQMBVujqQzE1ArzqkIS2iUUB2YcffHhJQQDe40GYaGE9Av0Hsw581U0Cgyi8nx31PQLIe1vri+lFAVXbC2nQVT0AEQp+dT81SQPSMBlstKVVAWHiwPPxvUUCfRKhh24RQQLlEkZsA9lJArdzdAKhPUUDfFd/BTFRQQC1dpEm6Rk9AswJLopenTUC4QasZw2ZOQAyQ+Q7RUVBAx9ycmiZkVEDpC7AUSbBRQHhDSOamPlFAe3QUtclGUUBq+q9BvJpOQFqjKtX34FFA5Yl0QrDVUUCxKraLcgFSQEpA3tXerVNAM3X3sRRKUUCpw80OCSRVQIh7oCH6ClJAUrJGBvdvUkChgmJhxIFPQPWAvyyol1BAOkT7z8kBUkCFvLGnT9NNQN0i2znKfVFAdrBPXTPoUECZqnrb6DhQQHiD+i+SJlJAPnXPmuAEU0AvrhYPDLVRQMapgRCzX05A/9OEyhIRTkCaU1cB+gxOQNqQ2L3xQ01A/BeQbk4CUUBIbtZ5E9JTQCYtmirgClFAu950sLRzVkAOdNFY/uZRQBkl2rqWjlRAM2GoAH4mUkDh2f+k5WpQQE60SYCZYVBAmwAxCyImUEDybJMolpFOQCe+0XZDjFNAXwrchmcyVECEwqz4q1JQQBb+sEHt7lRARWP+sOxKTkBrLrBbmB1SQOqWYptLMlFA0YIc1Dr5UEDh+57UAZpQQDOsFMpIPlBAgN/gbyz5TkD13mKMMdFUQAyprUVzrFBAC/wiSe9BUEBHx+HL+CBOQLgFsWpfS1BAF1xJkTsyTkAQPhV9/+tNQC/gHcXdl1BAcF0qVyyQUkA73BcsQzZPQHwi8LkzNU5AFHeqeXIEVECmypheICdTQA3didYUulBArrC8ubWjTUAjHmO4coVSQOOsW623flFADn551VoJUkDI16MKv8ZQQEFx8OW3m1BAIdx6UorOT0D104PZLOJNQAPzg7VLNVVAAksxRuwUUkBKmYeXz99SQO2zwblL+lBAdkoXsZ2YU0DtQe6SZQNQQCMsZFDvHlNA0t0cGuzLUECcmlkUU79PQMfQXhiNOVJAjkLrgL/WT0Bhj5rT6xNQQB9Fd5lgl1FA0l6fkUuUUECrkaGegYBQQHVGRHVR4E5AF3qYhiwtUUDbGkznTCBTQAo4oUy9VVJAvzuW8wddUkCU3LzkgvtRQPRahVNuOVNArMais/lpUkABW89x/GVRQK3NWZjwKlRAWUV0mhKqUUBzXnEVIdVOQCBNyAzOHFJAopNFInezUEAGB+QUhzVTQKNP+zuEr05ASoKO1obXTkAYan8/fVpOQOLVLQ27J01Aa8oSKoRDTkDOlgw6daFOQIUAzd3Rt1FAPfz8/8ZnU0BaiaRmaOFPQOpW7KY3lE1A+nCj4GWxUkBfEAhgx8ZOQKSwdRN6UlFAGhK+otkTUUAojkpQNZJTQJVm7owvtFBAwuEtqYOcUEAk7fcils5QQC8zROvVflBAMiXbdpKrUEBKwvOMdD9NQJ1OSZTRMVNA9n8vGeLpUED4pWMNICdRQJ9HHDNQBVJAgRrBJ67UUUCtwu9VsdBRQPuvJYMk5E5AsNBYGKf6VEDmhm0ZeCZRQFrOU3ewLFBApWxrFhDkUEAextdC51RRQNoQFp0+81JAKK2uLoQcUkAkCgquW99RQC4bCLwHc01AkZxBPS6+UkBY4OAHY1pRQGaletyfQVRALsfoOQt1UEDwccfzLjhQQIRf82kxvFBADA51VLEXUEA2lbBea2hTQMucciUCClFAOw3t0exZUkA/llPu2eJRQC5bggnialFAJuMHIAKwUUAP06Zk+DJQQGuLCD2pilJAd5jfGDWlUECJpDMKr7ROQJkOH5cirVFAMQY4PK9/UEBUDbKT9jVPQN0ALvSpaVJAtfChF/akTUCzV+vKJP9QQI0Bjgdtzk1A7eEfR4gsUUBI2rpusKVQQAZxLKTtvFJAcWz09rPjT0Cljj6kKfdVQEIaUJ+yC1NAmRFKxvzrVECtrWs3qq5QQIA3yhm/QFBAiHY4/+eoT0DO1RffggNTQDPJWyfpw1NAVjeCEToyUEAR4Ob3EaROQHqPOU+2P1FAks/Kov4lUECDQUd5OOJQQMzB0lvj1FJAJi3XbbTSVUAi/ZW7bttQQP+eg++z4E1AhYDA9D4HUUDK55vMAGFSQLx2e2dh0E9AQgzXwnDIT0AtRjYHAPpRQJ5tZ46QC1JA1z84sN1CUECavSYsXAVQQAzrJbhkp1NAnR4iOjT5TkDhfyOt2jxVQEaQmC66f1FA0ZUR2ODZUEA5szenw6pRQLTZmH0AXlBA1g9eSJuIUUAesmIlL99PQKHx2grjZFFAERAP+iwlT0DekUxjnGJRQA5ATmFHek1Ag4/oPtIrUUDqKuVVflhQQBHHUKkN7lBAqiH/b8oUUkBa4BaNEkNQQP5+GWGhbU1AhFz3/lk2VEDu0A64aJ1TQDEPkaXjQ1BAO70j3mGTUUDZ76zJM9tUQEPNTpOJM09Ajeto1UZKU0C2Ve6912BOQEBS8dgaQlJAswF/8BXEU0DOgdiuRi1SQLd6wTo/yVRAEmu80wR6UkABLMeQdRlRQE7/8Ns7jE5AGyPpr9m8UUDL0GP3x3RRQPwBjFWMYFFA3KKcwRWSUkBnq3U2O85OQFiZHfMealFATBTjkzqYUkAZxuSyMHFSQIXL590iyk9AXcsNgFDIUEDB5VWu1XVQQIBaArwXZ1JABsTLlb3UTkDAgSmdcMBSQApRiUnbflBAKlraZAIUTkChRxI0wHhRQJeyFZ7FS1NAuGyMByN3UkD4FT+9ildPQIqU/lf4l1BAznxCushkU0Au/cO9dDtMQIkJ8pRyQ1BAVUNkv8p/UEBd3SQP+Y5QQP1JzycdvVBA5yhEQmYvT0Csr2owbZRQQKtXI3NhjFBAi1qeLtzXUUCWlwkis/9PQExQDpexg1BApKQSUOSMUkCk6LCFwSVTQI9wsYyMZU5ArB1XHVR2UEAEWUARXuJRQLMQY7KJ31FAUH+dEYjTUUA2TEafXupSQAiiqz1c9E1AgwD+EgGjU0BjFt93kKtPQODSWN9Qpk9A4hOAD1+oT0DAlEb+X3xMQCz+iLVpiVJAmFeYFnsVUkCb4Xc8LaBPQOhXW9UthlBApMTVhlGnUEAFSRY4EIBTQJgXpxpLIlBAht7N1oGiT0B+gpQolulOQEIteHC8VVFAyUJ3P1hfUkBej1YDycBRQPIDVkn/PlBA4nP7tTAnVEBhtYy4+YVRQBTMR4gK5VFArITHEOLXUECJYe89Z/ZNQNF4Gxj3UFBAnX4dN90tUECRn2Mx5ihQQGm5s2FC+01A7IeBLm7wUECEuExk4KxPQIYg7eamN1BAlGUfJH2nTkBs+nA7L7RQQBnvKDb0xU5A1rGVL73zUkBSccufR1VOQNcYnQ2HjFRAYS9N33OrUUD1PtG3+udQQEIMnNZOtFFAWf6/bnyrUkDjFwoNFMtQQFyo+zrtg1VAyVK3zVr+T0Bq5/0ftxhRQNe19J2G8VFA8h9oqW4uUEBBJUN1tHxNQJtZpGpK5lBAvmc4yaESUECUAD9ssZ5RQK76GuL9FE9An76lv7jRTUCjzQ5GY4dSQJwnuglkFVBArPEZPTL3UEAIFZuGvGhQQJrEvOBoYFBAKD/npr/gUkAFHxIx4EJSQLHtFSrXmFNAGDGZWmV0TkAdbZNgyVxQQOQj7x0RMVNAfmkq8pJFUUCutC2ACxVUQIFQrhL/rE1AH7Z3/WEIUECqRwxNrLhQQNCJFe8PllFA4IiRnJFZTUBNQoVVkVVQQA6SP0dJn0xAWKGHeJY/UEBvmjmtrSFSQG8KT25fTU9AoOrIDQn2UEBXgPK8KsNPQE53oosNOFVAfV5yKQIBT0CtzSJdqXtPQAnEdU6ZpU1A1D+z5y8SUECdFWlzVhZQQHj6j7uhYk5AtJYgiOGrTUBfAjZi/l5SQGpVkS+/BVBAhsVkrM7cUEBrysywrDxQQB6z/zBBz05A0aa/XOSKU0CMeF8TPpBTQNOxZcT/LlVAk0N/H1s9UkDVr0zpIktQQLBo7C2oHlRAVrW9e6NvUkCOVA+iJw1MQGN1msrzTlFAQe5S5E7UU0DutXdfCdVOQLjQsArQ/1BACUYwnSyKTkBZWXyKQlxTQLTae1Z07VJAcG9lyaU+UkCxpXoFI/pPQHTwtvgoFVFAiIg9HFxhVUAq49NGb+lQQF646m/j3VJARb7PCRrOT0DuWWNpvR5QQAX4lyF3LFBAMDlblSvMU0CuaQ3Fx4FRQEK4gRw0R1BAO4Nzoom+UkDwMCHrO8JUQOiscbsMlFFAfqvBhHVsUUAK43lap1hUQK7RH5gcJU9A5wF13BceT0Bm/Wz07TlNQAvjkJQH7FRArF2N06t2TECTHu5wlU5QQPGgFgHsQVNAU6LBO/IvUUDt3kT2Fq5RQItKmROtolJAs5Ndqy/sUEB4laC7ql5UQBb5rzLly1JAiUylzA93TUCFfEfKZGRUQKNplnrpo1FAnzAgGuuZUUD+Q/NqAspTQN+JrI9HD1FA2pgCdhQbVECJeYtS5yNRQPw384nRIFFA1aOXAQhAVUDOo6hue0tRQP23FSLXNFNAMhriCcjnTkCETijso+NSQMh6d/d+mE5AwY3yDA9STkB3a+/bVvZTQDdxAD7DJlFAyvw5/QYoUUC7ISyaFBZSQNyjvnsns1BANcHscEZ3UUCsr3Su1lFOQMlsBOaE8E5AAve/BtX7T0B2e7HQkBJSQJLpmXsaH1BAeMsnJucyVEB4twH0oFFQQJLVU+1XDFBAvsEiPzbUUUCuncRTGXRRQBSNrKkkoFJAlrLat31ET0CWDHnE/WFPQAx2yIwJe1FAbcb+R8zbUUDe9QcpBbNQQA8SH6/Wv01AHKUXVDreT0CfJzizPO5RQAWv0bmxqVJASmAeF6SbT0DGelTIZtFSQOGrotEpy1JA7G23EZK5UEAbfyUGX89SQDqK+gkS3VJAkwpKj8KgUUAq2/dHxTBTQCaWtltzv1FAqx+JZKZfUkDm0Jij0NlOQBbikOjqP1VAu27pfRETUUCmLOGLuMpQQMxNiO4SXU1AxwhJQIBfUUCxKGKnh59RQPbSxRONLUtA/6d0J1xqTUCIVocIWxJQQOI3nIgpKlBAAxZ27Rx3TkAUSDALltBRQN9gSBfTpExAGiiASO4gVECEGxjd7mtKQDnWoq3qhFBAAA5WsFs4U0BUMdeBvwBRQJfr9iy+blJAVQb2enFUTUB9nI4AZKFOQF3xO+Yqe1BAMLJPs1VDUUCjUeaNmHZNQIyyV1FtN1JALY6ad0tvUUBQIJzaQWVTQPBdHiX0AVRAeA959nFnUEBzZHriXHJQQDXyju/iblBACKBli7J0S0CSjX+nVwFPQAG29L1N7lBAxI2nkHXgUkDYnpU7r4RRQPY28x/GVE5Ak/kBNe5KU0D1rm4Uij1QQIX9xZ2imlBAc/5Lz5eVUkD4Af3OS+ZOQHGqCn5nWlFAj0HclngeTUAK4UWwcFtQQHmP5Wcvt1FAWkQTkeYaUkBGudtFWstPQFag0Hw0ylJA474n3K+wTkALbEV9SBlSQN3tIB3VVlRACtm4HaETTkDmie1xOB1RQCoehv8T8lJA/a47nWUhUUB+X/mZaF9SQOwE0t/BlVFAbGTrc2+WUECqP0XbzGtRQPx1rX0srVBAO2rh55NGUUDg29KAp6ROQGZ8mjM+N09Ap/H0+RdmUEBlWDi0lzdSQErP/ijw7VBA6fnLrtgCT0BOLDigTaBRQKyXiLVFdVFAvnNbsQJPUUCsjPGMjk1RQEGdxYl8ElBAd4wKLlsWUUB4USfE6dFRQIraejZ1x1NAQbzUMzhZUkAVC+0UBsFQQNmMAG3Gh1BAGo7bUF3zT0BXxvj7MxBQQHCPGKQ0i1VA7jl5QdA5UUDg0tS5qk1QQOZH/zKck1BAYEijlKutUUCpiPfYBVZRQAkONbWsTU5ACIzCNrTATUCU9HgT8o1RQEtyHMFg7VBActrlUySsUUATXQa3sVhRQFZ5lNZOOlBAKVz8cpgIUEDWOjntSKtRQPAbEJfofFdAsU5CqiZnUEBUEVgpPRNOQOdw91nZvVFAedEzrgZ9TkBLqHMFmJJOQDWwISTLIlBA9McVgQZRUEA2arNOg3lPQIPw+zCwXVRAANuPvnoRVEDK1Rt2gGlQQPZgxlaKJlNAZJcqCfgtUkC2WW4cvjdNQG9nd9zS5kxAucyPubbFUUBqXCgpDd5RQNO6PmDzkVBAOz7lnUwnU0BIuxa7p2NSQK4MudOCtFNAL9IqPyVXSkCZi7V3YydSQMotIt20GVFA/YsdRCbpT0DGtVR/e9FPQIkalo9TylBA78GwyfKdUUDKmnBYbvhSQIi9zKBYHlBAcQCiWC6ITkAF83idKW1QQM9llboZXk9Azf/dKEx0U0DLXOdbcbFRQHmQMdzMFlFALu9k2fFzUUBE5tBJGjZRQPcQrEvlv1JApgTrzO5/UEDhXTFaAp9VQEukTHNilk9AOK7VFwU/UkB24racrm1QQHyeB4nwhE9A/vdfbZ8QUkCdf0WvLgdQQJzW4TBTy1BAj2sYGNMyUkDlkGNT8BlSQPjvfGdDuFRAvx7QxiV0UkBkye2u6sJLQKq1crEN+1BAtJEOPd46UUAhjExAwuhQQL3TQihgJ1NA5ieFgosKUkBSDQzDoVJSQJFjPp25kFBA5EnXLhZiUEBvXCpYydFRQP6I2aDVl1FArlyeQii7UEADFj6XuuJSQE7062YkuFFAJP6GshqjUUCb9RjbYW1SQLSYDgyc/VJAQKswiwlaTUA5JbL6hghPQFxEOKUie1FAf7I4erd4UECGH5wCp4VLQGfj22HGa09AdjLp9tuAVUAHL8cIcrRPQDf3uEi+805At0buuWGNUkBZD2jOx4RQQBOxI1JLCVBASVF88hNjUEAzxn89om5RQPcaP3Pv81BAebtKXALgUEAXR78P/ZBRQIvqp4bOdFBA0VxVYuQ2TkBFtogNDKVQQOqUUbrsG1JAK1wy0xC7T0DczooLjz1MQFqaAK0g6VBAs6G3CDArUkCOEEsmJfNQQJ8s5W2T2ktABeqNmlDNT0BVXK3kmrpRQHxoO2SfTlBALqRU5vx7UUBXmInOpZBQQOOu0xBQbVFAlRyMg6H5T0AsMJWDkM5QQPgblJ1qnFRAlSoPgAW2UEASqZ5B3+VUQMpN7ZyYRFRAveKW3w9IUUB7TxiNYI9QQFyqabV0NVBAhZ4dIOJ1UECQJd1dTHVSQO47RQAOCVNAsfG0rLe3T0BmsV6TJs1QQM3fHcDEZlJA1J3UfjsjUkColyCprepSQJfZoE1iw1BA+eg4DjYcUEA3FQoZVOxTQBQL/BPdtFBA6YSLE2v8TkBs5HIxNmpUQJYT1OdzgFJAVTolyc6bUED17vO9TARRQL0AjGKifFJA4KSJkzQIU0Cfr2bJOHJPQLahCDziIFBA5h0Ie+OTUUCfntW9BEJOQHPYkK/0XVNA4KbX6j1UUEC99Rt4skNPQEchSBEcwVFAZSutZtIfT0A4wrJys2FVQEQZq7rMr1JA6Yee2wPQUEA86mTUpfdQQB1e7G37ZFRAFiGk0u6BU0Brh2YMPJVTQCm8qMb0GlJAckp5d0XgUUCnUHb2v2VRQGcN5yfRjk9A01EzTckmUECoyRiqwgZRQCyq8ANG1FNA3uqUj8RKUEDkSpyCUixRQK8v2A5Jv05Akh8iDSZ/UkADqC7c1BpTQHD+cZ7TdVFAlyC/tO+3UUCu/50+PQpTQLKBVEkk71FAi29q3t8NU0AiqBS4mP9QQPKz5j73009AlJwfK0oyUEAzNLIUP5BWQKToLyjnBlJABdln38s+TkBLXJWA9R1PQBdMv64ZElBA6toVX6bzUUB54AlRgTpLQOafbgGWc09Ak+a0bMqPUEC2KWT384pUQF4hCR7lL09ApcpQa4CDSkDRwH+QUjFOQEIQqMfFsFRAbnRzjKSeT0ApypDuydtOQFeWaIr7x1BAbnU1SbWNUkCwo1CqyvNQQCk2FLIbJk5AMuRRe0z/TECrRUBeHpNPQLDBQ6csWlBA7mBg0S3OT0AJbqz7WfpSQFIp7pWxL1NAZXg/EX2lUECKBR6bQ+VNQBwMAculklBAPQ1Y3G2CTkByMllex4FRQH0f4Gwl1lBAIkKvNGIhUkAyonkcWqtQQKgzHCbz0FNA363S5qs1UkCQJ6MuZaVTQJRRj+eRi05AttBJCM5xT0AAJzIMxqFRQKIqA3lto1BAbJtwxZ7zVEDF3ngNwhhRQKVU6ixeWVJAyiHdFBXlUkCVdLEUfVRRQC9PVn/UYVRAaDf0n8fOUkBu4iFsmPhNQPWutA5POU1ADQmK8BD+UkBWWkD3ujxQQG7EQC6AJFNAF8vOxWD0UEDAWfpy8llRQOyZXwmYEVJAEkH/tO07UEDYAz50QA9SQAwV8xjQNFNAm++cOoyiUECf3oPpKwVTQJKVJo/9olFAlbWMl0JXVkBAujcfFnlQQID+LRSxiFFAzRi3UiEbUEDWA4OIzC5NQOtLVi3KClRASlUuWulYUkAYfIffBoBSQGb3biuzcE1AAKFoVYBQUUDUKvd6PMRTQNt2Zk076VRAyAv+tvF7TkBf6sqNgjZOQDbML/5tLk1A/abbPxSZUUA89YFIdY9TQFF08KkhJ1NA0JDV4MWZUECUNQxpCpVQQIWTSYMQJVNA9jb4jSBdUUABMV98JxRSQJoyzLSW61FAXhR1k8emUUC1Cenl+RNRQLLCMFQVd1BAM8f7lhNYT0CYXZAJzPBSQOOY0WoL3lJAlHuT1TkZT0C9q13oK6ZSQIwswB1MZ1NAsDE8yofgVECtM3h7v6FRQE0SRzTUsVJA4OLwNeruUkA+2LdNTKdRQJ7z+FCWH1FAEXSCqQJFUUAOLSTx8TtRQFMX/DLkLFNACcLMuqtaUEDx13HYUMxQQNlvBjssmVBAQ7rVxTGlUEC+n3yy1slSQA+zlCGZI0xA4je9nqdoUUCEbfygS95OQIdzqYHh11BAIonWK/OwUkC4nEZ7HupQQNr+GNgUt1JAUZXftIYmU0AsK+eA5M5RQEScGSuta1BA2SM/6CDpTEBZh6eQM5NSQIwlbG+JAk9AZHr1qPkoUEA8oVv/DS9PQCece0pqR1RAIjqxewROT0CrhJowVydQQGPz4lu7cFBA07DMwWSDUUB5npCrxBNSQNlLlvZ5DU5Ae0btdMmbUUCKGuw0cyNTQMoj0DPAd1BAmzKlJfxUTkC7i4VcIAhSQGsI/jGrnlBAiBEwl/tMVEBK1wHglRlRQIf2soifn1BAbDkLys/LUkARL6MqrqNQQCUjN7xgK1BAVZyLEL13TkCOz536E8tPQKKX6t6ruE9AtdwBbx/3UED/u4aRcfZQQL5JT7OwO1BAgXq3HrZ8TkCdGjVA6RtRQJmSyq8BdVBAlXNV9w1EU0AKBVc4D05QQPKzOzSwMVFAtsvZQH6KUEBKFIAE7iBRQBLSeyroalRAxO2G3/CzVEAJ7/ak4DdSQHo4/iGPiFFA1MAn2PkJUkCntXGgbH9TQM8AIlRfVVRAt/0GBNxXUkB0tplqaPFSQN5PmuOoa01AuYVL9CMuUUBnB0SOtb9NQGV881JByFBAgTfsBfqHUkBx8MlJj3RTQFQNwZMdalBAp6mVJ20hTECo59at+TpQQLq0/kcRUVNAVODPizuRUUAx0DB1xAJSQOV36HpO8VBA4SwAQ5HzUEC5siAvaqNRQHAo6Wzk61BAG7MNuN0cUUB9o2aGbYNRQOER102G81JAKRgJWr6MU0CwVtDC1fNRQB4phUorT1RACTGKZEcVUUBfQSgUqhFLQHyKzU03wFFA3QOAOkmvTkAvPYJw4F1QQNlBMSjIVVFAVmdjX3uxUUCiYQ/u1DZUQDieu0FkhlFAMLA8990lUUDeiduXUfpUQBOVI//RMFJA2x91yKnlT0Dx3dMTm21RQIh36aRfHFJAvCXWtOL4TEDHVQT+D/5RQMhbvmUIbFBA88XORSWmUkDVOaezG75PQJyWKfSoVVBAYJFvhtYVUEDwHB24zVdRQNBom71OUFFAw9HfodJaUEC7++/Xzi1RQEfgdr6/a1NAIZkuuzYNUkALLsfa67ZSQFLyduJUnExAFPTeXwEaUEDJkrpU3rRRQCJmhzE/tE5AWOQPOYyjUkDnx8z6WXlTQKs5j3OlhVRAbtvDnC6nT0CLd4OI7wdSQAHRYRTKl09ArXfdL7HcUEBQLcKKDvxSQGyaS9SO+FFAUZ5OzvXrUkAWM8q0eUVSQFm2PJLTm1NAAWcc/SbeVEAqkAlAwTpTQG3P2QUx0k1AgWbMkYF3UECKd2MymOlTQKuzk7g68lNAfBdMdjG6UkArpSXcNExQQGmRanncTVFABQrLig9WUUCsjZM0sB9NQO7rLh6ZLVBA2+DMSlOuTUCOaiTqMFtRQJi7wo/+ik9A3rUJ8+kcUEDKtLwQhsdTQP29EOOjUVBAyjUIrFOnTkAY6nOC6KNRQHVDb7iMs1FAqB7EqFvXUUCjRccaXflQQJeUfD8rIFNAPrDS16JsU0AOWuvmIPpQQIVyh6ZYGlFA8uPozoMxU0De5W0n04tSQHSaRHUqwVBATuFeCkjPUUDAQmCOaF5TQNr0vPu6Q1FAcqjiI9lGUEBB8IRbanlPQA32/nZYZVNArxLCb0SYUkDc1T0NKRlQQCBsD7DsnlJA83dXW857UUDIgOiQY6dPQLZ58bPHyFFAEYJ95X5mUkDk65opC9VVQAdMwWl7DVBAYVFvdZqqUEDOejd7l4NQQH2uzrMb3E5A2JzGE5yzTUAn2UM8yIlPQEOinSSI/VBAy9UnoTDYT0BfYd6AuiRRQD7oLmkGElNAd/H2Dm/xU0AqmpQ2pBtSQNDOdIrhpEtAQZbiQjHAT0AW74vtxv5SQN8l5x91wVBAjEs8yEfTTkDtrRVa0wZQQIxOxj4C9VFAmOO/5corUEAp/RHsZPlRQCZcH44pnFBAjRcJrvyETkCnJP9aNlNSQJCG8hBTclJAyjp8mlwRTkAwnOYD3ztUQON/TUA7OlBAEiaM7b1VUECRKhkOwWpSQNHfZw/jn1JAVKu8Ra4mUUAX2sT9g1FOQPLswqqupk9AMh7dW+1+UkDx4ziMQUxUQJpihzpYYE9Ao2CE8Hs7UkCAH9p++aNLQGyalHgFXFBAJdIFjz87UkClTpAxTn5QQIOKra+pi1FABbTY1OvWUECeKDAzebRUQNfnMgYzc1BAXEwthbB6UEDwwizK2pZQQEmwQBpraFNAdXVgiKx5UEB2ivXdmsxOQHjNruTdPlBAPrq6yCWPVEBWGYjqpLZRQO424vBCLlFA9F2v5a4EUkB17U2XtTFRQPfbcyppflFAFzyfxbVFUkBcncosusBSQEo+YPGA/lBAPvDzVIziUkBMbNwJ4HZQQFV8Hk2ceVRA1KiXtE2cUEA1QfaP06VOQHSBfRVMd1JAXYFgOiFdUUAJnDeG9gBQQEdKmhXWflFAW3XMIIq4UECSJb51AD1SQHI30b5Mj1FAUUdHbPAkUECTFCEmixpTQFg8tR/DeVFAMRhNi2VFTUA0UI6UE3ZRQJvyVq8nGlNASAQ6v1t7UkCo04nHbalPQDTrze7qflBA870Mr0vuUEA6bJ+yb0hQQJILxZAp2k9A7PrvANX+T0DxTbiE1F1RQJ7qSByw5FBANoQE45TDUUA2xqkXn9ZPQMoELbm2ClFAvjSXv3SsUUCa6IpsqOpPQFcYcW/OuVJARwYMfwcOU0Cxq+rMvNVQQMTbNrIaZFBA8jtm/jSOUkB190tuXXlQQKwkgLhMY1BA9wf9KkbPUEBBLduyCb1QQJaq1FR68VBAbMyVoWtET0CyBPn9so5NQGmr0Xc41E5A7osG5HS1UkDCFXoOg2BOQFT5Md3NlVBA6GZjNZIXUkAVkDe4rDVSQKyG8MEWRk5AiXcwvnNFUkB38iBPLd1PQKfDWgCb9VJAImgx+tC3UkCn6uQUPQVTQKHNaQBUJFBAPkwjTmt8UEARa6Mb3g1RQPdFiX7dqlFAGkzG7cSpT0BqAbQ7PaZLQOCaaK6QKlRAeo/33GdhVEBLZWtxIURQQEWXtFpelFFAPUmQai8WT0AZJ/kqxppPQDvjIGWJelFAsZaL/gWgU0APfwfRQVVRQJ6G9bRc/1BAFOCYqaE/VUDf3wuPASFQQP1vlB7tXlJAWzS1w6/LTEBqWV3sz4FSQLFPK8LlHlNAVDHExFxCUEBHxcy9oD5SQPymBzWM+1BAyWzWgMAZUUD+SitV8gdQQDbBYJQaLlFAowhn341KSkCqxvvJ4QRSQNPO8pfIV1BA3ZnAesgLU0BFQEnMFSVTQGrXAX5AN1JAD6tPNVa4UkD1BB3cPrxPQGVpXZlLe09A0G4prU1zU0CYtbL01NpNQFrTMXCc1VJAuuRpkFf3UkBGClAHh4NOQM22NwlVoE5AVVEgmGvmUEC1Np9aQLxQQG/RXL3FIk9AO7BQ1jdJUUBysHAaM4hQQJfi2WtTElFAFqSfPaE4UkAZJg+yZuxMQA17IL0JcU9AO/W11BJOTECFZb60hJ1RQIeFOJaDP1NA2fCrgjIAUkByoilD1TxQQKGz/VG8P1RAXuF6PlmcU0B2Rwh5r21RQIz6H8smeVBAWkCqQXLFU0Cn/9rlEb1PQGKviqt3lVJAndQrhY1sUEAZoCPRZ0lQQA/CJC9pElFAAtw50+MCUEBWeHHnKXxUQALP96apO1FAx1cb/4sUTUBW5hCgo3JPQN8P2BmiE1BAOBLoLcFgUEDsjDoDG4VQQI1KdNwbm09A0tDk5KJrT0C6O1TWzMlSQDFwhtgPrk9ALRg0glH/UEBah0AI06RNQFvsb9ut61FAX+xI5H4wUkAIlGzxt6FSQMFGMbM5AlBAwCocGYNoUUAEvHBtmrZPQLIr2mWCiE9A2UukWlyAUUDdqIV1UMxSQFKaW26F7VFAqMyAZSzZTkA/CXVSGfhRQDAUCy3mJ1JAqzMgooFvUEAiV99kqW5TQN4HgRxFCVFAMjVVA/z8UkBWu1Eai5VRQL55ygv9lEpAA/9grAi4UUARnBVhkktRQOb7RlEKxVRArX+4GLvETkCysW5q+c9RQH2U+x/S/1JAkPkgQeF2UkCoHvWt4n1TQARFYZ1PV1NAt2HksGB2U0AqHt90X4lUQKVDgQSO2lNAm1Hh0bwmUkAXr+RCqmZRQJ7ylTmbmlBAKMhlH4BoUkANH8r4SM5PQKKUMeExM1BAmrnb2/m2UkApKpON44hRQBGKDn3OU09AWNdBL4XZUEAq/h7tRtlUQEVTLRdKIlFAtiZlFgfST0AqPVeNQL9QQDe9tuv1hFBAo2miq4p8UUDYrykwDn5RQMsBltOzvVBA9AN6a604U0DpDA+6ukdTQBKK5QLqf1JA0GSo3sUQVUAUc+X3X2JOQFiMgfKaoE9Ax+DZ0EYFUUC+hGvTEtFQQFB+cbCz6k9AHxdzDWUbUkBOZMaXJuVQQOSVzp77AlBAh99JsriSUECfj9TIAc9RQF2pKSDsR1VAB3vV1POpT0AzRF+p/tNRQLYxJ9zbQFVA5P0dIzaZUUDt9HZt065QQPAototVilNA79AMjfIuU0DqG+HFNkhSQJPsegrvQVFA/nvsAsdYUEB8pukGYbBUQLz58sqIvFJA8Csd2yFKTkAAKTfnf5xPQERY2mYgz1FAzfOuUFrsTUDlKUf2h6NQQHduZa4q/FBA9qQzy4K7UEC5zVPMBcxOQCeoiQrZlVBA0vnBtiXjUkCWfwtTzVZRQNHpgPGxeFBAVYumBrE9UEAJYWmpw3dOQGvcGXM7f1FATYhQ4xFyU0BfdvaDJzpQQM4VA7zKVU1Auglm/gcLT0CrHPYk2RVTQMC7Xwin+1FAWMFP7OXjUUDigVzzPHRSQOrCPnwo0E5AbvO8bH5oUUAWWM9qYcxQQPkr4/1eyFNA+GdduV8/UkBZz018rAZSQGWkBW/x/VJApP5tcBbMUUCQ2g3Obp9PQGJGrSIQklFA/zda7ak0UECK+xU+xF1NQJOlDREOflJAQ1PgMjdYUEBx9Rk+n4tRQBgDl14N/05AljQTLBOkT0CLdfq8httPQClwWlcOI1NAd9Nyzyh1TkDY8rHvnZVQQGaYuBoQd1BAJGaUxnxNUUDkV81Cbr9RQJdkrH3cYVFAdg8qt4nZU0Ct4SYMInxSQNybzGbID0xAG+EiUNu6UkDFsQ9SVVJMQB3QuPins1BAp4hKEr8eVUBWiIrJXwNUQCyhkEo7zlBAJCH5VzxcU0AMFswbZMpRQFzM+h1lW09An6ozy+/MUkC73tlBONNRQItpHkbHC1JAWWvK7+lLUEBY5Q9EPo9RQLtG9KVOiVJATGMNgMPWT0DN5HxrRWNQQP9dtOFaUlRAIKOpZncjUUBwlhw+/qZTQNIFxgczsk5ANGSGTvaUUEB/UCBSlsNSQAFZXfEjaFJAF5Q9T335TUDRS9/qKr1RQDlxBu6EslJACRHoL24KUkDMtNCnVxxRQI6Ox2EFfFFATXJFNQIBUEAVgik7cONRQMDxjIjxRVBAqgX2ZFDJT0CTALFrOtpPQB4VEyxez1BAlAkTysbZUUD22XE0mLVQQDKWTJH951FAK/VleDb/UUDl7havf/ZOQM7/tDcoR1BAvtnoF5ErTkB2Z3ECv7VTQCGJlgQIhFFAB49YEop4UUCRGI2rgfdPQBl+1JtvY1BAQpjVY/wZUkAaKEdw+tROQAuINRlOMFBASPz3ASoQUUDzFp4SpFlTQFyYyFzvVVFAOaO8e0KXUkBT1jM1RjpOQGt3hcKyGFRACOG787Y3T0BwiHUXG9VRQD7g1PVOWEtAwey1VrcJUUBV+FX3aJxPQBCPvwU0glJAXZJIh9LsUEAXAwi+kmhRQHRE7JiAtFJA4jWUZv2XUUBhmwfi9ZBTQNtMa6Ud01BAVajUj99nUUD6Zh8OURRRQDqCRG0gtlFApuPnSdFQU0BZ6KVtahdPQN9QcX1QoE1A/DFWN5phUEC/IbnxpQ9QQKhdDac+ylFAHyRG6bbOU0DfW08+fndQQAgyX3hwI1FApkb2V0ksTUAGjrtXxFxMQI4mvLmCAlFAmJjYyP8NT0DgSgWxFG1TQDKY5S3FklNAaH4hOADNUkCC3qJwFfNRQCc7El0Zd09AGOsU7k10UkDM0Gg5RM9SQAoQNxSeR09AJpiV/DREU0BwTKloHwlMQJmORt2JK1JAGjbdoxFAU0A+sQIiizVQQFBlIMEQ3VFADHCZdUKtUUDR6KE0WbtQQMJarZMJV1FAJqVKGeLLUUDhIAVjK5ZQQGeQByUYQFFA5PcEndmFUEB+NrxFYjdSQKpcybyvElBA9y1t6wUlUkDeh6uuPwdSQMC9g9JvwUxAhKbkvYYtUkAsVKEotBZRQDaL5o2c9VNAaFxpxc2rVEC5OzPooAtPQBzyTHaV7lNA1P3I5lHFTEDjFAX7hKFOQCa9uBNmiFBATMeD96EbUECxPrJuGsBNQLUdSdL6z1NA5RaOSTQNU0BwPN/oPhNSQNiiNcPPjlFANJmmqPAPUkCP/SWGwKxRQLjdig6UD1JAOhtQlfGuT0DX4A/KC8ZPQKcgTE+It0xAdgt3kp+gUUAJcq/gU0FUQCBrF6ztBFFAzv2Q6v8jUkDar2to5plRQLGtO8/3slBA1C/s3m6uUEDy0aVJIYJQQPjkzAfQ71NA0yzntHRhS0BCknMOCH1NQAcW73AUdlFAMNR4VQZnVUBaglHCXytSQAKa2xSZHVNAYdtrQ8dFUEBUxXMVU+ZRQJr6oDjZ4VFAID1Klne5UEDJ1dMwL09WQBHJ544aTlRAWI0CRSPHUEA96YdypuZSQBhvobeIylFAEuUKxySiT0BpAL6aoaBQQO4wv8x0EFRAnXwntd0DUUDm4kFaPlBSQHoHuJJ8mVBAlGSSUuShT0Cqw2FQVGhRQOX8CUdAF1BAOdtxymhRUED6xEeNp75QQHnszhHGkU5AkH63FSxoUUDR2aXlm4NRQKwdb2TP7lFAno33KXTGT0DbczncwZ9TQCi9oHYz91JAN+zBV5OEUECJBy/to1ZPQD56AtY5Ck5AO+s+g3uoT0Ba4jEnCDZPQHuk8Z+L8VFAFEtNdjnrTECkl6hEVn9PQNsHPK6Y51JAQP91ZBa2VUCrSmoKUrRRQJtV3ho+R1BAM4oBrJwvTkCvJU1C5QhQQHM64sOajFFAoaAkCcQ+UUD3LQlVsA1TQHoIfkicRlBAfpnRMfYWUEAgRJyaEBxRQE4blFsX2lJAW7X0lUFnUUAjpLgQCU5QQGgo/KZ3SVNAf7axWvkuUEC7uZfKYbtRQNMUy02NUVBA53jJPZIgU0CASuvcfFJRQHQ3I9K3M1NAQkrK7PclUkCQ6t5gvaJQQFSKFwUHK1VAc0Tu6lKzUUBIU/5gUCVPQK+FjO7EvFFA1qq8jhzXT0Cd8hO6iyBSQEXhASpLXk5A3QuXkNbQTUDh7sA4nEFQQLxCM0TiaVJA2H2jKQoaTkByZyKM2ypQQCe5TavmMFNALgy+gHkZUkBhiSPm5GxQQFGnVN94YVJA/XoMxd1dT0DguSHbLnFTQPmRRhfcGVBAR/RR0k/NT0AwS8xFGjdSQONuJtMr41JASgJnkyA3UkD6exX/mMJTQKBAwKUQmlFA7tLm6LKOUECnV9yO5YlOQKB9Bw0Cx1BAsYN5L9sPUkDQvVMayxFPQNWn3m7BclNAtRT7+Ts5UED2Yb8V54hSQHP/dtsp2k9AjnQ0e9gAU0B8rnG4Cv9SQJtSIf3x8VNAycOVYjpIUkADLCUFloNRQDRVkXkQMlJAygX/U2EkVEA8t5cPIbRSQLKwGIO8MkxAw1LcXK+xU0CA497p+BlRQLBnVPEDAFBAc2FQcwVbU0BCQ+H2OzlRQCwb0oZAq1BADqfh4Sv5T0Bs4SOrcI5RQNm5QCWqS01A+BeSdzFJUEDMkYsPxxJRQHjhfCngGVBAb4MC3iJiUkCM44Y0JVRQQMDm2sjTwVRAtp6xUov7UUAOrR5GtcdQQByB9Tv/g1BAuPWpZal+UUBDymRbSAFQQP2aBREhR1BAgyMQrdNgUEABaZ4AbttTQDJJRaKiZE5AHwv5KBKUTkDlnoCLU95SQPUk2PuYhVFAPQvrbIg3UkAX+2ZB/8pSQIP8oIKV+1FAY88TJL0zU0B1RdWcJq9TQBlwTGUT8E9ARTu9ZXpVUkC46qEQYRdQQJeFVfmVIlJAsJ/XjTP3UUDHkjH/uwVUQEj61fRVT1BAvoQgJ7nxTkAbaSlkAN1QQFvL9vQBBVVA45eqbeFFUEBuB1PHBrZQQF6iYRn6FFFAU9mLah5+UEAURJbTS+hQQLSj/QyuPVFAdiu9AjUnUUDns7arUm5NQDmYW+Uww1NAKnzBE+FpUEDtf4XMn6pSQDyHeMA7KVFArW++vVc0UkCkqvDzGmJOQGUkcgJl/U9ADitcPCtHT0Bgwkmc4YJQQC1quthxjFBAe6UnqVqLU0CnrgN4RYRTQMEI30epmFFAneD/TtfjUkD875JEqtBSQC6Vi3jzBlJAAV1N0MdfUkBvi/Y6OgFQQEboqstJnVBA3knaKaJkTUDLgbrdFuVRQPJMGrdtlVFAVbZRTn0jUkCdwZthRfhQQOwFUvKZN1BAsgeuE62tUkA3pP017FVOQIlk43cbolJAd2FjNJaxUEAEqlqSH2hTQKjV+bil2lFA7yrGrbFkUEBjC5Mtd5lQQH7rebvmj1BA1lGOkemMT0Dj1tTEXi1QQBKikOiDK1BAa3An+9MEUUD3qTdb6GFOQBGp3X7c/VJARot1aer6TkCaVZ6V3YFQQN0EAvdb+VNANjeHEIRdUUDIIhvWpjFOQCgnEurz3VFAlMEhLr5vUEBkZmC/3FpQQNJuEA1CVlJAi/1rFmizT0BZiNCVjnpRQFfk3d2qB1RAG/63ONPeVEAAQ2ANPK1PQCHZcmsPg1JABshiQCdOTkAzRUq7vshQQASwOH2iKVBAcGIhxQqWUkAQvgQM2rdQQLMvEEksBlJAjLf5dSdMUEBId5BKaqhTQPwDM/4ga1BANeEFPQSFUEDMK/h/ErtUQHvbM4TgN1FA5XWr23JtUEDqjsE9Kn9PQHE3H//e50tAsmerf8E5UEB7oYq4p/JNQDoppje9OVBAFjtNYTjyT0AfuKQ680NRQEamwHEf5lJAZhc1P3GdUkAM6RRxNxhUQOKOyk3lZVBAVTbySdcuUEC3Gwf/tPxQQF8JqR7lEFFABF4hjujuUECLWph59wlSQD86vFOcGVFAPEJu35HhTUDY3ZANT3NRQK2dYzgZkE9AQsnp+8b/UEDILn73g1BSQGieTWgZoVBAkckbFDGAT0BBjMWDRidRQJDuTdGS/E5AcZWl6zcAUkCMu0QAAGVTQP7vwI6KtVBAbcWbDEK4UEBAVeeulztPQKz2YmElWFFAzUjzDy+pUkAG3f2JntpPQK+r9f7k81BAjkqr4uvwUUAQpnb/dINTQMd57WqO6lJANtErsD6nUUD2VfwvghRRQJpYcLcy5U1AQWUkIcMmUkA81nqMZAJQQLZgReXO5k5Ag/1ZsWLCUkDVIMyndoFUQAlzRq58Hk9Ait8uc7UBU0DDCUf0aHhSQLGiaOi4f1JAqwJCibEYUECQ04Wb5iBRQBvlvXZz/09AQu2N9OtkUkC8OwRqXB1QQFqfJft55VNAkWKJKGKoUkB/PRJSCWBRQPlaCzRSrlBANuutZn9SUEDbXUw5A2tTQFCkZhvCRVJAKdzQy26LUkBuhSh0geJTQOOrRSaF01BA6NWTk0GST0AWsZoqnA9SQPbCV9QNQFJAhsERa6WDUkAKnk77TU1RQEXTvPba7lFAr8XJ4+BjT0C+UYIykVdMQG1VN4uPfVBAe7h2ZwA6VUAGdMcwz1lRQMAVljR7vFJAEgRdYIBiUEATVBNl16xRQPTmd4OG6k5AGcd/pL2DUEDvIY1ZKwFOQJ2IpAKQIlJA9f5uwpvCUkCwPxcrjVBMQPfCwFb/OFBA6yOHvGBTUUAwunIBM4FQQLQjadPQAVJA3t+6K/xnUUB6DuF/8uhTQNrcAY450VRA8lrPhcVIUUDC+6EOUQ9SQExd8DUz9FBAvwszw7JRTkCwiyGixXtRQGnyeFGSlFJAMCo4stehTkDHbefPRUFQQEgpoSzvnFBAiUmy4FiEUUBGoNRevdRQQOoE2jnPk09Aodq7V+/rUEDDbyh6enRSQHNtK6o4/lBALv84VxcGUkACEkl10T5RQESc6514gVFAuiVrpwj+UUBHuXZ7YnRTQPTD05WaYU5AbIwOLBqHUEAF3d4EKqVSQHPvUOuGhVNAxMuhtbxcUEAT98e10RhVQNM/6eeXWVJArrT3No02UUB3xEU7qSdLQMXysTYuqk9A2Mumv+PwT0AmpfV5/a1QQFwCt2hVOFNApkc64nrjUEBQt9GqMh1OQBe0Hn5qg1BA2u2+y0rCU0BtRLknfzpSQMv0tKvO8VBAS0Ojj59HUEApEWQcF25SQHgMnI4AJVFAGs5pH2ZhUEDi6WyBkx5UQNPmTVpbx1FAUPDtwlI7TED1jyuR2pdMQHjdtUezR1BACXcoY9ToUECO556eO1xRQL0ItRJTUFBADM5aWYcGUED3ViuBLfNQQOVmSiwDA05ANclZGQDGUECaMEqbqqtRQKVW1AvaAFNAxCGlLITPTEDp2aiEZW5OQJ2l4t2Yr1JAStD8uiOEUUAdaFgpzdFRQKF1ryGT31BAn6LiU3OEUEBlIK5BTnVRQAJvhLrRTVBAOccQXnFzUECa4+UmmEFRQHlGjq0PRVNAWoSssOdyUUCJ57fVJZ1OQAQHzH3O4E5AOGttm+K+VUDowTPslQJOQORjf+WeNVJAJ33Xo1J4UECfjlol0ERQQJx931Ovmk9ARCm34dO1U0Df6DqNlY9QQBKUt6yCk05AAFv2jUIuUUDU1MMPGtdLQCn0mGDFv01AxI9e/sB0UEA2/ju4e+lSQIc9COrhNlJA3ZgiXxVPUED6ut+Q1n1QQKoZQuCYQVBAGeSAlE6CUEAZkbCkd/1UQJ9C9yW/TE5AZLgdFeKEUkBimp1ZXLlQQI5D97AkE1BAhiBNu87GUkBMzoIyy/RRQOifltoimlBA2D8b0demT0CCEsQVlL5PQIiOrfy/QlNAm4s90ci7UEAHT6BD5lJRQGl5QY1LU1BAfVrw3hHNUEASs8uHHexRQH0Cc6ji409AANwGZuLmTkBowS0RSsxSQNzLo8Jmp1JAxDnIzP0zUUCYhCx2OGpOQK7nel1RYlBAo5BtDZJHUkAHtzwTWtJQQCLHqCdq8lZAmtIrsJRyUkCpcf9IzghVQNozEnWkmVJA/NvR8zirU0B73llDxIxSQE4yYY0PvVFAHtbuqJPUVECaBBnuaHZQQBytgfkkllBAaauiRDgiUUDUC6jdRF1QQBSevpjGdk5Az46Vy45iT0C4Pt8eDhhTQJEnwR5O/VJA/MXrAgBxUkC7Qozu3wZRQB0GPzRaE1FA+OBUP5GVT0AM+vXCNcJSQNp/UP17NVNAagjFGUcfUED+cQYDwRBUQO5bjZZ5FFNAQHa+snxbUUArIHMYDcdPQEmX4/JqMlJALHC5s2jwUEBNBN+HKLhSQPZQSeF7iVFA+QWaMd2GUEA4xpRKXulPQHOdZT7ZW1FAiO4IVOyUU0DeItleGSFPQNW0eo1Ud1JADnxF7GgeVEDmQxkGL3xRQOLnftFp+FJA2cHisvJeUEAp62EvKptRQBUsJOhBRVBAFeO7CXLpUEBtPrm7rltTQGED6hzGFFBA/XANiEtnVEDSOc0PbuVQQKU3ylsQek9AVRumVoXdUkAD9pOhH9ZOQI55M95ZKVBAc5qB4LvJTEDpoJUkhqlRQFl0v5w/R05APkEt34PgUkAunMPrY6lPQEIxq2xBoExAiVdIYixcU0AhmYBN4jtOQEzg+CxTn01AHSezH8zCUEDtxz4Ie4VQQIgXxLKjkFNA309HpLm3UEByctUeZ99TQGBHlrG3FlJA5AiS1mwxUEAphIhthwRQQGJtuaHO5FFASuputiBdTkD/U+bhqIJRQFW+taSflFFAcR4X0ENYUkD+XWuJPA1QQI1tmoybr1FAm/woElaJTUAgadx6whJSQME3jMnoIFNA7Q4F1rT8UEB4OqZiwwpOQAogpMzvYFBAOJh17HxoUUCq03jKhS9RQPDCJkcWfVFAd3HQe+2sUECY935BFBRRQGkfONVFU0xAQ8cAF0lSUUCNldDCprRRQBtpENrhq1BAuqf4OodIUkDUpc5sljtRQKncmDSVfU5AVdjLEY6+UkA7THVsil5RQC5qT9pQ9k5A7+lHgBetUUB7h7S5VttTQAJHxQBHx1FAEmfsj87uUEBK+AhArYRPQJdifcOKZFNANG5Fnr/qUkAf8o+Lx3xQQA/6Lboe61FA4r2SCi4uUECvKFHd9oFPQBA3NORJA1FAyo8uaKU1UEAGLCwAdoBSQLRzZ39xL1BAKrXZeL8HU0DXwCKticxSQMhq3grhtlBATRfgNCu9U0DYdkUb6UdPQKELTVVPClBAO/hBKdVZU0BFA3dMgI1SQKH4qicaj1BAMtJnretqUEBxRytnRqRUQENl4edO/VFAYgTmeN3cUUDkvPDB4EZRQFWw3wDcAlBAZN5YizbHUkDz2vpXP8NQQL76EIY+AlBA2hcuzyc2TkBpdgRoBwZVQEVkWUp+51FAhlSuLLKjT0D+WX/Nt+FRQF8g8rM/+lFAeQOJpGKyUkAoeba7nfBQQOBGIpJaH09AJiibLsGVTkDW5AaZNuRRQCgPxxdMiFJAXOnEeV26UUCRrqIaMJ5SQFFhI6ib4VJAdfhJitJLUEC+kjTzV8JQQFwPhRdDwFBAAzFvSAzQUkA5wWMVjANOQIa2TtJi2VFAJgp/6wBXUUBopvTIj+xNQDIGUCUf4VFAPK/No20WUkDGLe9woWJRQKKxg22bLVBAsQ/34sLTT0AV/H9ClfNNQLrvkhOdEVNAwUTyV4G8TkDUOXvVIqROQPqtvzNg8E9AmeJ1rWtYUkCPZ1wIbu1SQG31HVR6AVFAUKaCWjlDUECGf9hclklPQA46FpUkfVJA6UKXj/5bUEAFwD9vxfxLQMNLNzND+U9AcBgMoA/hU0ApPIi8HZ1QQH4+RGeClFJAJAkP7U5oTUBk1PKiWUFTQCB61LPRM1JAt/LaaPgUUEDJZwjrz2ZRQH2bcK360VBAbZshbbo0TkBjL5oGEelSQBIL1aasrlBAIDdLLLyTTUBzsLrBqqlRQDsPD5rmaFFAGDmgHea+U0Ce1kuKV9NOQD+HLA+Lw1BAVROncIMyUkD2o8qGE59RQDuS3wSOuFJAlCJcaRQRUkDoYUsV8XVTQLMsOGFM501Am1TTiPNeUUCktvlMsFtSQK3j8wDAeVBAXOJ3BBBsUEDQI5BsNQBTQLrTrX0Io1BAqX8yz5mvT0CshY3bSXxRQB6cMxCdwlRAS3/92ZWMT0AfOSxJz6lQQF6cNb1JB1FALe6OwuGZTkAmRBnYggFQQPAbuob+SVRAVCzWZCiNTUBppDzD4F1QQOHI9SUQpVFAUFHOASzeSkAzNLJqzeFQQOxvhqrW6VFACY6USayVU0DQbylL8lxOQE1zVFnZKlFADcDV65e+UUCSAJxdOodSQLdF/6J4RlJAW851nimvT0Aw3hVgzTtKQA8hzr4O6U5A42Ox2sKYUkAvQQhmzSRRQCH0Rz947E1AGMRWUyIhUEDiMaYMEgBVQLgxsxHpo1JATm0pALWlUUADZ1Y94IdRQCTxbQhHtVBAokaoHHs7UkDyqz4Poo5TQAIABW0fgVFAvNl1C84qUEAZwbk/XIpQQP8VKklzYU1APWyqIkBBT0B9U7XjzOZMQEON30On81FAznf8BSu7TUBaBWIT0nVUQGEzPBlJP1JA/PO3yjGkT0DN+Z357T9SQOdX/Wc6llFAvYxLokdeUEDtvYSEvA5OQIwsmyX8AlRAJohjJkDsUECIH9AnTdFRQChR3GFAFFFAk+1jXwymUUCl6VOUzbtRQFgfeZNHVFBAfYCdyA1/U0AS8B4VdkxRQMkE34ggek5AtUSERcqaUUDW3UyRwt9QQDPZ8yIn+1NAmPr5hv0KUkDDbNqaMA9SQHMtqe/tuk9Aol7Z9nDSUkC8i1J5JmhTQArBfvhN6FFAcdu3Pz+nT0B2KEXJhF1NQOHt7JjonFVAS0QwyPQnUEBuFwezgoxRQIWpuDV7jFFA4TRKgbyJUUA2BBpVIzVUQP7gU7iGqVFAsCZf4mpJUEDCB2jar7VQQGMlQs2ptlJAbSU4TuT4UkDJf4xk5gxTQA7N4Q2n3VBACnQ9udQJUEArpKo6UYNNQAnwzd8ulVFAPiqQ2FSGUkDQkrfIVBFNQCbVavAnelNA/Cy6awlAUUDS1iegQHtQQFmGep/zfFFAIVNk36JxUUAwM+zgnKJMQIokzHcSU05AT4aNuecbUED03Zz7G0lQQNtOak0OTlJAumGckuDHUkDb5qgf8jpRQIr3em+bOFFAEu3w52XiUEDlQ/wjVCZTQIiDZVofO1NAN+k6aYo/UkAwgh+chK5SQEd0EmW1glNACZANa+QxUEAfWpxxV1hRQIk0CDWnzlBAwExfkjKeUkDvyMA//s1OQIKwp0SnME5AFzMzYFoZU0Avfwn+iRpPQPS8EnTNflFAlTrtlRVWUUBC3zVuBwFRQOM7u43aS1JAtUkLUDNWUEDQklLI67dSQMFzU2DxyVFAfWxl6x6fTkD3i4Kbn15QQEnHuNJ2pFFAKfEsFzkNT0BG8ooZjjlQQCgx3bYnWE1AtFqq57L2UEAyBpbN/OJRQH5h1TH7flNAI3GSSPSJUkBE+k5ieJ9TQKP28AkuXVNA/cPn6dFlU0DxchQmIQtTQO1vDrHcVlJAvNaJIJ4ET0DFQXNWPKhLQFAfdqngmlVA4TSyUMubUECTctN0Eg1QQC47GctkEFJArW6uHh1wUUCT3d6aqMdSQLOV663R41NApOcb8M0YUEAqRZZ4QxtQQKHFuNetfFFA9iuc480iUUAxyMullSdSQB8Dx6b2qlBACQD93y1bU0ApgHY2So5OQOmB2cC+AlFAJm9AWiqcUkDV69UUMwdTQBAJbX3AQ1JAfaNd14vlUkAX+dTTaslRQMn7qGR/tlJAh4sk1CwRTkCOvPkt7GFOQBSePSymI1BARoxXfzFdU0CMm54EDEFPQEBG97oq3FBALryT/HeXT0AhQ5lk/7NUQJAFM4DoMFFAKXWlkAbUUUA72DqIEPtRQEogjWkKS1FAUkOB3Tq6UEAKWriAqfNTQMRTSe9yilBAZVz2pZZiUkAT1QKun4pRQBZdn4j1zUxAuk0QShYpUEBsn2pqHF1QQGvYevi2flBA/EvaxuzZUEArxOhJwXVQQLfcJzzmFlNABkj0y/gpUEC20PWXzcdRQH40VVnVPVJAbYF5ALYgUUC6ggJ4H69RQK4yFNh0HVFAbqVrDhE4U0DjUqBBs/lRQM9mioCHN09AaaxwtrBBVEAgVqlcis9SQPFKgs8gflBALVJRLd7sT0DbdL4UmNBQQDm9wzEtjVBAlShsy9pUUEBvgR5pgJhQQLLUzJhwHkxAI1ztOXl4UUBbN5x1Y7hSQPsLMqNLJ1NAK+F/IaFTT0D4V2i171tSQNE2FudztFJAEY7M+ZdaU0Ayq5RsQYRNQFB8gHaHmlBAsu/9T9DVT0CYpG/JlSlRQFa/1v0s+1FAaZBkO8gFT0DulasXWwhSQGiBuWCmbFBAHlZrmcAAVEDarj2iYnZQQAWnjqaDslJAZLhxUWXLTkCgf615jj5RQKfeSHAgP1BAgbS/x/KTU0Dt4AeQzF9RQKdZDgygbVFAYl63Iw9UT0BhVBz4ktxTQA8gRlNZYE1AvT2hdKV3T0Cy+YzcTBpTQHIY4LzRs1BAQQfoQTr1TkD65Ec43G1TQAcGWrwQQFFAJ5aPBuaEUED5+FStiEJSQHerdXrIJVJA9mC9SPOrUUB1NOHTWXJPQNtlskL671BAUL0VcA50UUDbAEzF9g5OQJExceYc4lNAqJ1KApXkT0Do8nEJD89RQBA/sd2N3FBA+GgtY74sUkA4l+uMnlNQQG4wV5KMqk9ACvokuhQsUUB558ZVrU9RQFuzCe0U+k9A6c5zLQtmU0BuzGdagn1RQJqCnCx8plJAV0pNlDafUUD12ZC8u7hSQLuCsTLYN09ArzK/5R+mTUBAT4/I2WZQQJixEsjSTFBA6QvFrFrfUEC2LXSVCNlSQFxpGbOYdVFAL4nYVxLWUUCPa3m8+MtSQH7nAfvNlFRAkf7gJy+hUEC0SHRPhrJQQDvlCwLiWlFAkt7y8U4uUUDZ6jxIgY9OQOcLRkckLVFAIsrFDJ58UED49XSkzBZOQMGJ5L3CVVFAN0i6tTL7UED3HIKMWDNTQGH/5QBBck5A+TbD3Lw0UUBZ6v3fbPVRQLNhUnaTZk9Aj47wXxk/U0AjNFWoqwtRQAt06Md8gVBA9+C4WlCdUkDzVDm95/NPQLIbO2JV01FAlgrRzCaLUEDxtz8j6JtQQMleR4pqqFJAz0JhBTK9UkCUmh6BuelQQGABTdJMrE5A7pIGUaaWUkB24SR5kgFRQLrcdyAdDE9AxoANhiDHUkB4fEtPXOxOQAJ1Ru2EmVJARm71i7hyU0BkGbLiwjFQQFTmCIUZXk9APT501prWT0C+i7/Nx3dOQFiJ1GYo2k1Anc3fMPIbUEDxgMae1YxQQOQcFh3GDk9A5SX7DqSYTkBwBuvrl+xRQDujDKTjdVBAX0xvenjkTED4d61ti/tPQJfyjOp121FAWx/ZD3YeUEDCCpxGPgBQQC22mConMlJA2TcefZZ5UEBlSA+x1N1PQLnMmXq9BVNAz1nOqsXsU0B65a0T4i5TQOzmpFiI3lBAGZFEc1VyUkBvGUMWmI9RQI4H8p7VR1BAuxcZrkVJT0BD/B4j5cBRQALoEFMrsVJA5LExUQ+MTUBMSOedWIJSQBQizF72K1JAnJbGMgYVUECuhRxMSvZSQCubOusW+1NA0HKupm7PVUArjPOb59BRQCFscCrKQVBASZPtP/VRUUDlEgNFyZNPQIETnPizk1NAuL5kcop/UEDREXHrYTVSQFqNyqHULFBAmRt/hLtzUkA66M8dOvFQQOWwbudeDk1AL6mxqNSTUkDxd8YHX7tLQHspwhT62lFAfoxud7B1UEDXoVZFpLxQQCTzAXP4klFAi0M83Wh5U0DVRHHvzspRQOePFt0UV1JAbPdXyuhiUEDF26/Al45SQLPtRBwkpUxA9+6SGc9KUEAFUdfQblpUQDfiLgtvq1RAv5oJAf3oUUCe/TsUgj9TQH0u/oA9s01A01swr6n3UUDR1+lnmKVUQGj6o27GPFBAI3+tVIh2UUC2iYTbx4lQQGqm2V6vBE9ANs+/2pIxU0CRJTYF0otRQOREmiqutlJAVjc005mUUUCzzdUs+7hQQC1N0ElCDVJAsGx4K8z5UUAXbyKkPp1TQG46SFUxi1JAKTJjaB9SUkAeqrEqr1xSQMqiNG5ugFJA1Wl6xtd2T0D0c4bs4gNSQEDYL2Nux1JAmCA9RIgNUEBfctgxQ0ZNQEAEab7saVJAy1FYH5ykUkDMs/PtPXNRQILA14ZG+E9AGPV++b/FT0COMVz0o/hSQJ4H1l0l1lFAoT5TwOsEUUAUlB8mSIpQQCt2yYbIOFNA0WsehnX2UkAIQ5W1HVdRQKxuQY+msVVAaPxi3bLSUUBeV7cLEXBUQGGRvDkrpVFAXvjU2TQNUkA+ZpIqCc1RQMbTb7nEmVBAE04A0HVuUkCfykSvC3lLQK8X9I1aelBAQLYEhr45U0DQRWPdUgNRQCyGk2q9uVBAPA0LT58BUkDbssXu6pZSQA3bERikoVFA7KZzAgNOUEDGiSGEom9QQDuneZ3qF1JAleA3bKHgUUCsU4GIqspMQF7xXj13jUtAWii9YB8SU0COu1UnCjNRQOXQQoTr7FFAvYl7Qu3VUUDloDxApGNSQB3VniBV0lBAyCbUoaNVT0AW/ciJe9hRQPOf5D4LVVNABp04RGv2UUAgOoLZbgJSQB9GJp3DqE9AJy7u4OZbUUDrmvh2xGVRQMeaj2SmlU9AUJvnTcvSUkDfUz7sk6ZTQKF5aHzrOlFAny1Y/p4vTkCsyAv1rzBRQM8ACib8DlNAEv9FPi/vU0D4Bm7qZs5QQDrSErpF5FBAU3m68W0AVEDrjOgvLZ1QQPzT8wNMI1JAjHyJ5KVcUUC6Ke90gnxRQKG+YQ2R+lJAn46W4x2hS0CcBQ52kKtTQEaLhCaRglBAJPsG6lQLUkD9bnjVlUZUQJs5r0qTp09ATgPyyH2XTkDS9JTwVqxTQDivbq8JLlBAzifZ9spzUED8A9dCBzBTQDPaBfUROlFAcMK8B4UOUUDnYcNk/DxNQF9EbVDnJFFAdJUs1+dfUkD3yY8eHkpUQEn5WewO71JAXCaLhXigTkBW0hu8Md9SQJIWqf4JBVFAJt+cJqOkUEA0S6M2+ypRQJNnQ4ycu1BA5bkq7sVjUkAmY03n4RJTQOIl97nKyVBANzUcqTHYTUByXEpe5+dSQPg6FIt9p1BAz0BH3bVOUkBuNFpixnJRQLVMz53m11JAV2/UC7k9UUAH7TLRV5NUQHjvXuRgVE1A1vGME2t/UEAwam+O3PlQQO8L5ioW2k5AoPwZPDt7UEAUFPbUqgdRQPG3rXuL5FFAF4/pb3gLUECtvuUcsARRQAcYyW4RhkhAc7seezFPUUBptS3IbIRSQN86VA5kFlJAnBW6HeA1U0AA7FvSvUhQQNCZi7v11FBAc3d4mMXzT0Ary5BHc5BRQPzSLhSBbFBAoQN/CIegUkBrZuw2LvRQQK8ZDRdra1JAENDZIaHvUUBWNwluuI1QQPmjmceUo1FAnRSVFIpSUkAz0s5Eh8VUQIgMox1TAFRAm5masw5xUEAi82D7eHxWQAyTGdtRY1BAlVvy4BsiUUAVQOqtSA5SQBkZOkpjHVFAWL9YiyDKUUD4cAurS7dMQCxwFG9wI1VAVpMOKgSIUkBF/N6550ZSQFIkCpsHQE9AOvkNMsMlT0C1FFEBV7hTQMw03ZCQoExA5E0I7MA1UECokIqsqqBRQB/tDDFIglFA+D8b08csU0Blb8BWH1hQQLHXN3qxcFNACkIEmmq6UkC1m4VHS+RQQCez8sWzc05Aq9p9cJ9QUECWsZS5shhRQF9R8SDXglJAYYAfAVW+UEAUD4D3hf9QQEblSg0Z1FBAeL+iWa9RUkAMqIMQOzlOQOgWdVIbdFBAcM4dVNxRUUAU0qAtdQhSQGkERPnMxVBAl6SU9jW1UkDQwQsHoQBPQBwwm1dir1JA4P9wBEAdUkCVhrbMWhNTQCXwmCAALVNAz8spxiIOVUAhPKkatDxSQGTA7xT8AFFArKdAc4PiUUAatoKP0F9TQH4KVF5XSFBAK+R5WLBdUUCc4wTqiu5SQPulgWYVjVFAOqPpXv1+UkC8v2qAE8lQQEEM/PUSwFFAdM0IFEboUkBnipk0nf1NQAtxxwCIr1FAOdh7Ir36TkCM+Ak0sGZTQJFsRm1vK1BA7KH/hJaYTkCZ60A86Y5SQKCovPT0/U1Awnh9hTTXUUAg5ecgv6FRQJ4jJQDekE5AMyhwDiB+U0DlS8x7wq5RQFsmNHkR1FBA/pGfCbO4TEDr5itbQeNSQLjf6l31q1FAjN0Gty3FUUD1eb6AmKJQQDD2bEozR1JAVsn9gfUXUkCcKdAYj7ZSQIVZ5vw4P01ANS6m7jdMTkBOilD0BdBNQDWCt+WQzlFAptrGkQWXTUBhGf/tMThVQJisCgdSXk9A3mPg+MBbUEC5J3wo+zRRQENuLW3Q0lBAzAWdeP+QT0B69sJvcIRQQFvEpojpuFFAGAqtW0FjTUCA7Qyg2dxKQMGjUeRThVBA5XQz2VcvUUAJO26ttkdQQIpSQh3gMVBAECV7EULBUkBe087Y37tRQGv6Zait/VBAA5t7okXmTECsHDYDYbVRQGyQC68xbFFAxiXOeKk+UECpqCffxbhPQHbsJKnvuFNAV3Rzgf43TkADicApga1UQMdO5CnLi05Aapr8a8mPTUBhfYgYiuJOQGZRi99DNlJA6y9lNYg4T0DmZ4hqNiVRQDy968Iwe05Av3gY13/iUUAwJhFggsZTQMk4tiGbklNAEjM4NVMEU0BOG97zSxtSQKIvUI3TKlNAokNSiFwpU0CUaae6XSNOQIBRPlw4XE1AjuNbqkI7TkBtrs0hH01TQCRxCCpGj01ASkbMxma9TkBtOLh05oBQQBmv6kFjNk5A/gfKs2leUEAQbrBMKjlTQO+8Pt7OhE9A7Yk9ItXcTECQ+H0GbPZRQLvv+WMecFFAEFeb9ixeUEDMoy9GNQ9QQKwLAZdWv1JAD7AcXjFnUUBAp5O/lE5PQKBeCh9fElFAbhL5V6ucUUBM1bhRhRxSQNo629y3rVFAlFPnxM9lVUD6Wn0PAddTQNpd0iWslVFAACibCiVfUkCID8FVKwFPQHkby3fI9VJAFwuCO21jUEBf9JShiGNRQIR2bpqK9E9AiCLDgoVGUUBV9L0wlZtNQE5ZkPldBFNAdQ7zP7ENUEB73AV7eYhSQNg9b4LV2lFAKO5vTFk0UkDLXNN6g3tSQHlQBVi2SlFANZTajtrGUkBaLtG59G9SQOUySnRIPlJAW5WTCSS0TUBlBvJc7INRQCOSHJn60FJAyvGaAcZCUkD2dvzvpsZSQISE5rkSVVJADdNAkzkDU0AaN+dISABSQKkUeRVh9E1A+r/D0wQ/UkCv0MVLkCBRQNf3A2LVRlBA5ZuMrnYxUkC4U7J16AJSQFp06tfPr1BAPHLbsnRSUUBQTTSqFZVSQJyKgW+F6lBA9ix3Z6LTU0Bo5rFPCDJQQEznCj0wmVNADdxTscNDUECOLr9TafdRQLJqRS1XHkxAwSkORlKHTUCRP7KDCblNQFREAH2+kFBAg6E1hkG+UEB/yMym9EBTQCaAdWLWZFFAQkGx9G1HUkAKZwEbFSVPQLgfE7TNN1JAhn+gCu83TkBU7TvXAQROQI6I1wYPQ0tA1Tt8cCvHTkDnayOIdFFRQDcRD+bJoFBAL0WJTFVVUEDgQ7D7Z7pQQJezrXglC1FAvEUmQn3aTUASuRaJfPxQQJ6kMY1zSVJAvohkAFJ0UUAWLyO5x0ZQQN35SlDA+ExAYloqYJEtUUBZR1XTAkdQQL24O4nSrlBAvi7yuX7kUEAaEJctFZVRQN0wh6EcyVFAlHk71YuoT0BmklesSoJQQAIc0szycE9AM/XaWY8/UUDs94uSHMZUQPMops9iIFJAYOUgEsVDUECdtsUIYddPQAghYTw9qVVAFt6M53chUUCho299XRJQQJAxFInBHVBAiKMQ1y9XUkDZXsttWGxRQKPP+aczI09AjBEPqK9MUkCbHAqfQbRQQAie6mM99lBA6HWx8eqJUEAQFXOCaa9OQAJbpqWc8k5A+oAdRLZ3UUCE6lfIGP9RQIKmycy5hlBAQSJemj5yUUBkn8xCAGZPQOCl4adUvFBAOY8wNllXT0DvV7BSqe9NQO0KGDScklBA51SJfWGvUUDEIvSNCzVRQB8+G8PhbFBAkqddQuHEUUAa11YjoztRQFRdgodRIFFARc69eIzSTUAEwaKG3u1RQANz40yuNFFAe+U6gNwGUEBqYgrzeNBNQEKMfeJ4TkxAJ4iToK3yVUB5tl5JTK9TQE9rm7VLGVJA+fpkw93+UUBWvbrBMtBSQH9oc9z/t1NABuM4KqU2UUDQKI/K2HVRQM8Wb0aIWU9Ag36vQiKHUkCm8BF9My5SQKjOxZCXQ1FARnjHKuXgT0DQj926crBRQHbNfcL+YVNAmBJlSgUwVEBcmf4x8YNQQLt8qjBRmVFA/sYAwSgYUUCbTw/Z8HtQQHLSETUZqlNAlDNK4hjiTUBahfq+UdlSQBLokFyh8VJA0Sndx/8iUUDXZfis4KlRQOYIBh3qv1FADLPsqh8BUUBOdmFldsBSQMMkGuPwv1FAL3/3iCudTkAGF5PtMJhRQKobmw/WBVBAyNN0WOWgUUCNUsEwaMVQQGnactDq5FBAFAXkvLiNUECMp9X5Vi9OQONJixUqkFBAq5Laz53JTUC2zCB/+EFUQMAvOdZ7Q09AH5S6ymSNUUCp+HiOb/RTQEMLPnIwTFFAxUwVWymPUUDV56wSp+BSQBh2GMM5IlBAPgzkMNabUkBPbn2AcYlUQDyWsps4z1FAGpePFDdYUUBm5ecFcj9QQKmT3F1LO1JA0uZTEwkoT0Dl5KQta6ZMQPXgrXjAgEpAVXWmxONeUkCbA0v9ZBJQQB2vMJmIxEtAVhBcmtBCU0Cw4o7wv/hSQEeJFe9hSlJA+wFfa2bKUUDnXrblQCtTQFuji1ZiCk5Arw0H4fEjUUDjBm8fR9VRQI0gDmwLs1FAU+zh6q4nU0Dq9gVn061QQGVM9HjJWlBA5UfWIWUnVEAgKX3HeuFSQP5s8Tj2gE9A7q4Il19cTkAhJkNlGpRUQPcHyBl6sU9A6IAZsfeBUUCb+7rc9zBPQL3KccVvt09AqLYD1jEMUkCP4YINqYhRQGTL9H6FAU1ADky2k/H0T0AC5AaFCgxTQKOFv+W0hVBAPGRQa7AQUEBe+Eh9t75RQBSUFM1XDlJAtn4fE6sOT0B/ZxdP5IZRQKIqg016bU1AAtmvQbqrUUC4VYBWRHlQQIfPYfx1Y1FAEk2M5cULUUDPObZDTZdRQBQGulux6FFAf+L1yD6ZTkCCQHUVu81VQGXT0d0q2VFAhX2Q5T6OU0DRDq9KBp9SQJn9t5NsyE9AQREbxTtXU0CnDo1HQwlSQIupH6TIkFBADuQydz1+UUBjm/VHin9OQFfQo+qyLlFAlAYMzm1mUEBjgL4kXQlRQFjcW+nsIFJAzw7/m44mUkBZEve103BOQE0BULMmWlNAG2YKL+fdUUC+UaoNhWBQQPKPJoClPFBAOUUZTybGUEBTyVl8FEtUQGB2z4sfP1FAxkZTv+wDUkBZ28y1EUhQQMkc9xQmeFBAWw+cvH3tUkAf4HSZTd9RQHTWPLQLxU5Aw5/Z+fZeU0CEpCPvMttNQM7iqD8q6lBAIgpqeJ73U0BiQFRfhn1SQPzhiAyFC1FA2TtkHS3cUEAmNdsbU1dRQAdEqJZPDldAmjxOo05NUEB97iP+zfNWQKnFVC5QBVBAHFRllSpBVEDqR0nB30lRQHir+eaZ8FJA29mqI00IUED1p+jJFFNQQHQ4jqhv4lJA1kLk93YZUUCT6cjx3gFQQLMqYAjMpE5AUYPW4uNvUUBCP87CNYVOQJ9l3NifTlNADM0NJr6PUUDBYipyL+JMQG2c818scE9A+jScfVEeSkAtgAGKbP9SQNdudNFZNE9A+gs1dSc3UUCyi3UEEn9QQCwbXJAA5FFAzJwdk2TyU0AQGku7/JdQQH8mvicg2k9Acp3awTo6UkCOhJor3rxOQLAXjIOQAlRAMBcy+vz6TUACcuE8o4BSQCKQG7ddzFFAyI5xNB9fUEDQaXM13JdNQIJuEHqdA1BAbemnsfunSkCyKWdWSftSQF8ClDnjT1NAyajm+qNUU0A7uWK/Qj9SQJ3EM4F64lFAdjgXHb+dUUDlqq3dNxhVQHmtchTIG1BAjojZv4GWUkDc/woox7NQQKBhycmWJ09AqzXyhJEcUkBpCsmaF2tRQMZxQlPeHFBAS/RIwFnqT0D2voSlHQ5RQLh5pZRfME5ARbWVmPfIUEBQSFM0k0RTQFr8qpR8GFNATW++MA8yUEBXuEMYFo1LQIJBMBjIsVNAoU2CAyNxU0B6tx2atxZUQPjakRVYrVFAFMRI4EQGUkBvLsYhialTQBwG5dZZgE5Af9IA/v+vUkBIdWu4DC1QQKYHkUcYVFFAk7TCLU5nUEAsGp1kFCZRQA4CJot4401ARrZ6Gx5rUUCNkQ/6DJtQQK5An5loz1FAu71UTuCjTUDmJIU8nf5RQKH9jc80SU9AN4VWn4yAUkBJjF+KU7pSQG3SgItQn1BALqqx010XUkB22VXv1ONRQOCg1mV0fVJAESitBqwXTkAGqphSUSROQBpUp7qUfkxAHHMQIxqhUEAqCzy7l7RQQPM2TvUDzlBAzaIfrIHVUkC0NRGZ+dpOQHMVv9sSW1JA9E92MfzOT0AqSzWGCEpPQJjDAk+EiU9AKNz5Lh1fUkD/FmYBGIhMQMQgokIVdFFA+BT7G5XbUUDYzrifZutRQMWlgFhcmFNAQcZH7VsNUECzh71E+/FQQOJKsYeneE9ABNoaf6IyUkAJQChVFohRQH91MP31m0xAoYYAkKQ0UUAYujbaFzFSQA7u5k8vZVBA2A1dy+KFT0C4PgjsBIlQQJ2uxkYTO1JAp6HQpU1bUUBCVPBWnVBRQADMRZRkaFBAfd3AGpxZT0A6zrEMPs5NQCYhObDjZVFAYy20EDW1U0Dup8Gw6+5SQOA44IwW4k5AzqKq5LKfUUA840ovl1xTQIujdldDkVFAUg7XKfINT0B0Mm0UfepQQC4752R0GFFAPHDAXP8+TEDA//S3n/VTQCQjXcMLD1FAajdQZk79UEBprsUanR5QQDYdEHna51BAUJjzODWlTUCb+iFVwjFQQNHQ8M4nelJAR1rrR3eGVEDXoQKxCLpVQD1z/L3OjlRAEYEVTw0lU0DDIG+vHS9SQGT1AfLz5lFAB2irRFFnUECY4BYiohBRQFj3ukv53FFAdCl8LHlPUEDxW5gCVK9OQAdZz+F4U1FAm3ofVuv3UUArj3q8z71PQInaWD+iOlBAfGTsBg8rUkBE2sG9EoFLQAKlyL7q4k9A45KOXmcSUUBHZ6+O/K5OQNg/bEzHw1RAaRWhyR8HUEBELUV/VPhQQGxgfj14wk1A7XTFZZ+6UEA4uiXqcbdRQG0fICsMi09AdyZzdSJZUUAtOWwL9e5QQOC7SIUb5FJAa5E9K0UTUUCmFD+CutJSQKxhYjC/vU1APHqvDfUBUUC5vMuvkBNUQMVIXZv7xFBAbo9hGisSUUDGWaQP1XNSQBJb3aHZgVBA/YBhOOYeUkCQh0HlVv1PQMr5Mm83s1BAaXDm/IFoU0C/jRe0bmZQQDlVnU2OEVNA7shQHpC3UkAIYRFg0H1RQNEbaHpG5VFAK3l8/U3oUEDGeujljgVRQLgdvBLXxVFASEm3fTgDT0BeSBxbuxxTQGLilDamr1BAAwL8+S5GUECuCDdiVQFUQCN+oLhxllJAfkZimIkZUkAAx2LxyJ9RQIxXJ93CSFJAGELkndu4UUB8EAzJ4ClUQKSM5MTnE1BAY5vlXO0TUECPmQizWTRUQM7/cFUdXFBAGeAwF+f7UEDzhJGPumJSQMcxj8iEU1NAg5rxjcbAUEAOaIL0vZNJQIePp/HmBlFALtFcPRydUUDKRVYkaHNSQMWINR973U9AskZDXAxQUUAMh2IqtF9PQIkocpCiFVBAeoWooyL9U0A+2/Lavr9LQE0dBetpmFFAldvwRfPtSkDlyV8O+zJUQNGpnI9CwVFAZwwU+6uuTECktr8weGBTQM/tlQg21U5A92bYrjLrUEDonhCPLtRPQJ9+qIcXNVFAOiKJL/JFUUC1uxMs6NBSQBH6jn9E4k9A5A8bAdP/U0BPmqspmGNPQDrdC5HkEktAp7jHDloRUUDtSbAy3ctRQA+7/8/FIVJAtS+5+DedT0AjswQdim9TQNe9PsIuYk5AtWVQ46CUTkCOIxQD2EZNQAlWs9L8Z1NAmCsukMWuTUC/Z9g/4ZFQQHZ9yCg14FFA1ba2sF4sUECqAPJHgcFSQJx3o2wuXlRAPWxkbSQ+U0AT7FdeShlQQNxA14G+RFBA7UhGbZ7BVEAfOsL3Z8xRQEhrL1IrklFANANb5RohUUCvaquz9slQQKpUJtSy3U9Ac9yC1iEDTUDRxOGzzzBNQKjLbpOY8FBAMJ15fnboUUD/NZ4ZDfBSQFMu6xrIU1JAB8qtjjYRT0DG0AJ5FexPQP6A3TjOB1FA1212+eZAT0Ce8arIEJZRQOxomU7z7E5AoNlvS18BUkCMc6t9t6JQQP31PF01mlFAheInsh/rUkB211YowZJRQAwVLojNrFJAEjoUlnHdUkCg8R6jnWNQQGanTBIuK1JAaNUjqHgBT0AmHAcX8FFTQN8iCasteU5Afp0fuAyTTkB/GNqB8xFQQLGIyF9Oq1BALIBcdXUeUkCv23zGp9xMQEJrre4tV1FARiBiRsa1UEB4gI9adKtPQPmh22TNI1RAPClqNEGjUECwRoURinhPQIm0ymaQok9AHNxgiEzVUUCxD3UVGnxSQJTNYmFQ01FA5TdIunD9UUBaY3JKKbxUQOGW84/5PFNAOBbmbbAIU0AcYJl4ZXBQQDFA43j+S1FAMQt8zHWaTUAZBY2bYN9SQNSacnZIxVFAHFpcDFIoTEDo9ESE50FSQP1U6FAFgVRAJS18eh/SUEDc2L9RIbtRQPZNx0vNx1JAMxEbT9lUUUAmFqEBT8FSQAG/jmpJW1BAC8X6M2uRUUDsWYXHKJ1OQHJTOK4i1lNAU4mTheAWTEANMWHt/FNRQNL+vde9v1RAS4mPAV1aTUActpHzPMVQQNN8y3CvP1FA1tVAeD+iTEBU7pG7A21NQBRSPE0cgFBAX53uHM/nUEDAOeOdk2hMQPzDOR3/TFRAWrH0Q0pSS0CGwm7ziTxRQFpXlr9drVBATIT9dOPNUUBU/YIz8VVRQBRJ77sXaVJALWNW29jGUkBZ/09JmhVQQMfgge8y2lJAwY3u/9sPUUB4gH0MmodNQGH39I7SqlFAfvhQips6TECkhtqXsMtQQBrJ5Cg6I1JAM36/nrJ4UUAwKKGM0hxPQCavOw/FW1BAnjukLHr2T0AhagPpyplQQDwjt1A8D1JAc2P9X1WQUUBZ4ock0FpRQMK53mWBZlRAgqKPwIa7TUAoKk4BaydQQJDkGM1g8E5Ar3h5k8r/UEBKe6QX5eJPQBo3QaovX1BAXOwYB4txT0DJQVMlVnRNQFwosFDMu1BAB56wVO7pT0CfamFm2PVOQPtz3XZJTVBAVDDC9Q71UUBLZjk2VnVSQLy6/3HaqVRAGr1VMpPHUUBWL3DObQZRQEA7uap1nVFADDp2Yqs7UkDbIlui3AdTQC/PgMdRMlRAAptOy+gyTkDn/pub6etRQJ8ASQuz5lBA7VUDVXcnUEDFAJ2FmopQQCa9w60TPFJA3wDh33gpUUB00SmBLQtRQOpR+pJlClJAD9QL88o0UkC0RUJg4IBMQO9Lou6ng05AY1SmtU5OTkB3AWDFTgZLQP+9JGfsuVBA2t0VuIbpUUCV0MOSfYBSQENER2aUHE9Ab5Y+8+UkUkAP6hrXwGVNQEivux9Ms01AWUeJCIDgUECezOZpy4ZPQE2LP5pFYk1AdKmYybsTUUCn1DffaglRQPvESbbpBk5A031834IdUEAIA/IMD9pQQI1fSlANHlFAAmLPPZX7TECAOr4xnrdSQMYtyaxJLFBARwp/x46yUkA4jaR1VY5OQHk3h38AIVFAl1ccxS8KUkCB/XoJ32tOQMjpaLQcrExATWgFxdxXUUAlQXl0cc5QQOG3UuqNPVRAFsEkLSFkUEBKJfo+OTxQQLtls10coVFAPetHHvdkUkCqgvWYQTtRQGEiqmGHIlJABW1XjiiCU0AxjKv7XZNQQBSdqd6Ws1BA5Lb63ljDUkAnjw22UipSQK4VDPbfTlNANAgRcnTqUEDXWhC8pUVRQFOiZ6v6ZlBAmYf8TmF0TkDGS0kOayxTQA5t9zqZelFArmvXinNQU0AirGTmYilUQD2jkWaM0lJA1vNyRwNZUkDEtqH09tdRQB0fyQgOH1NA6XqshDgdUkCr4fPhtqBVQGVAeZ3j6VBAItQxA6XqUUCMwIsHdcVRQL/7eaXND1FAtFxwezGgT0Athn5LfU1PQAVPvXHrkFNAaw5k63vZT0CbVHUT6A1RQAneiQdFdVFAtsMx3AMLUkAOrFHkI8tSQLdk5YTzZlFAJg6lm13gUkCiHRb4gf9QQLBSaxnFYFFAMQNSXbNwUEAzCDT63bRQQBsowoqXBVJAcY514ys+UEAVq8mLJBhPQFuh7KBas01AOIBIwp/DU0As+0voaCVTQIDYCIfID1NAK0J/HtyqUEDYpd0ZrudTQPMosuCw0lBARsKm8U2IVkBKGtPPCklQQFRImYViklJAlUUj5iivUUC5D469i11VQEk1NDnIKlNAXv9Bhpi5UkCH3Wx3Py9QQG1uyVpGiVNAJsK5y6pPUECElRt9U2RRQDeFMYqwAVFAmGU2biEqUED6V7lowmdRQGPfe6c5s05AIFfB9hSOT0B1X3AAk55QQJpWmzDH/1FA8twnlZPvUECOi+q56BtRQOMS6WHKbFFAyqKISjwNU0CNO5eCGllRQGixElKVYFBAmeEoYpK5VEBDdur1RbpQQPbfqDqdlVFA0wSdPO3CUUDYYSaQB45SQGfYiWmko1JAeKu5EfbIUUC3ut+JEYtUQGhDZEQZH09AgVDYb0dIUEDUQfG1bO5QQIanYfUGx1BAHlzoKG+uUUBzHF607r9OQHCNMwzt21NAkUwiMUqkT0BBr9B6lhFSQB2H8/pJEVNAw4NfVdYKTUDWPeVeRGBQQOxaG5U7dEtAY+3PcUa0UUAbNcmVQSVRQP4SRqKd9FBAG1Z8Bs8CU0B6KnnC1u5RQHsPptrkRFBAqPLRnzSCVECwemX/k51RQHoUUaXKE1BADJG39rDnU0AyKcaxjV9QQKy3jzntLlBAKTkHFGsJTkCbBwUjdpdPQGP2hgnrW1BAi0QkSpsJUkA+jxYIb/1SQMMBTue/w09A/oH7eqtwUUAjPCci2khOQB5YjVf4VFJAxVG620ooU0Azt8HPANRSQF45grciA1JAnzGt5f1AU0AA5Qn1wLRRQDtawCh+dk9AzUods41tU0Ak6DleW1VTQB2jc/4qaE5AUNr+sieMUkAB5ukCbadSQGJ5gNKadU1AiJocAp35UkDNlYogxi9UQDHMSq13rFJAHMtDCC6fUUC8YKLkjBhQQPVlpAjgIE9A/OEzOKNKTUCFpLZa3E5VQJ4DGQSN9VBAQkwqeirAUECVBo0KwS5QQBe8czuYFVJACkdXKTGpU0B9CI5pQrpSQNNYvxID71BA1x/8cl9wUkC5phGWiHRSQDH9SzqDiE5Ab2wIiKR+TkBM4ZOirvFQQDGJ6hFK2lFAghDZxhD0UUBC2E73jCFPQBm2yAs/jlBAkh9Ly8NYT0CIUvhDjkxQQM/0jn2nWVRAlhGMK3vYUEBB6j97MklQQNXjWpJZA1JAJIth0ujhUEAmJaX33dpTQDzslVpOCVFAIc0w2+UGUECCyLvoHnZRQILbFXSuv1BAAM+Rj/vTUED1cyOf2RFYQLqgBz/w3VJA+8QJfO2iUkAriY95seNOQJS8eqImnlJABASOE1y1TED+q4bSdiBQQBubyS6Ng1FANxqi+g5QU0B5B7ByF/VPQGMQxXP2WVNA3mbXepiXUEA9iBFpJPZMQDU5hhJ4SFBA2xHeT2UoUEB2BXARLV1SQBWj1MpE3lFAEX7TuQamUECsDO9TjUxTQNjLXE7Twk5A4BxCPGQdUkDV+B/EOK9RQHh/oRZpEVRAgaq7MoSnUECZPfAiT2lQQOnqyisng1JAY6tdwP/BTkA3vdJwXlRSQPSqrpYLp1JAOxqd5JraUUC2wX1avzlPQM9taAuZXE1ADOUVSoAlUEBMCFGlYZNUQJ/YIcaJYFBA6QY6i46lUUD5UMJM1f1PQOrBuvcabFJAJkfVPFAvVEC9XQjYIJNQQKm4jMZOMFFA6FGDRbAXUUBSeNL51kFRQC6h8+/vJlFAfYKFJAQSUkDsFxfug7ZRQNQyJDgvZFFADgbnIbmMU0ApOdEvpPVRQND2wBS7JVFAxcJdDsgvU0Duf83WXwFSQODtr2v1xVFAdxNmtqFZUkDXd/8/tKFRQAPNnq5it1NAPe7D2ctjUEDKDpEIvopSQKl8ryIi1VJABKnFK30aTEBFpHukillRQIz3THvdy0xA6HKoG6SxUkAkTq2Qf0NPQCgLS9HXsFFA423szXFmVEBXPXdpNBdRQM/HDp15lVNAtXvHEQw7UEAQ+K2imTdTQIuMfZFaIFRAOGKV4BkWUkDtaRFlUHdSQBz3Q0l1f1BA4VsTqvR+VECdt5B4gpNQQBTyb4ORz1BApEWdPXhGUkC3nr7px1tRQCKrui+aE1BASxm1o+bQUEB512XRb39RQGsf30xrbE9AUSo/LZuqUkB4RfRepa9RQK3Uu28a/1FAT89cSs2YUkD3LZvNH8pSQHR3gexZO09AG03mVI7ST0A9P88otNNRQEQJqgdvpFNA6xvFpJfNUkC1TOUGEVJQQHVyMXia3k1Afz3/HqRCU0BYWJp1OW9RQEszPCMZwlNAiOKRUBxmUUBQBoebvxVQQGYT0UsWSVBAByiKZKH6U0BLWNO35HlQQEMvO0zC7k9Acdut8mF0UUC99Pbg2mNSQF+VcYWfUFFAXC4gqyEbTkApsM5zpDtUQNVZn0BIyE9A1J/2CrYaUECYFrrSvx5RQGkGNnHDGk9AWCENuUWzT0A154TawY5RQP+xGCDLV09Aozii50K7U0B1izzmi0FVQJtUz1xVzFJA3z6K69fuT0DxXBoueSdQQIiqGT5UBFBAEscWbfOzUUBimSYWQY1QQPnYFYxiiFNAfZYlM4ogU0BmsrJzlUhQQHo/8sll1VBA3dODXL7kT0CDwLfJKGNRQNxzUgpz8EpADZy5UmFEUECWv5CUVENSQPY5aNgPP1FALSWfNoJCT0B7ZW93wW9SQCwIrcArI1JAB6qeK/wZVEDW/++s17tOQE36pNOQY1FA0AC9eXpjT0DgYya5OEBRQAktPaLhRlBAkjd8nacoU0DUOiiwjo1PQAZQeqTtXFFAujLIKotvUkB/DqPlM99NQJEVeeWRSU1Aoxnk5Dd3TECBIvPXpSFTQLnx25Fvp09Aig1tD/cKUUC4TJeUh3lRQI0qBeCWaVJA8y8jW1x1UEC6dyNZFjZSQFE5cE4uAFJApkmyRPVwTED1YhWdR5ZTQJzCx1HNIlBA+bJzDr+WUEBLeQXMCilTQAHzlpoIaFNAAta41NmAUUCFv3RhHcNNQLcxRQZxEVJAGa31bkDkUUBzGJqJSwxUQLagi1HBsE5AUEZ87agdUEARDiaKMoZPQNv8oi2xllFAWQEILkuNSkCZ6K5g9dtQQESV/PyGnVNAaGLtSybqUUCBWlpv9HNPQBwfdiyDF1BA8TWh2jCeUEDmID31ouZQQKZt0mJSvFNAINll0ZEaU0AVjNeLqi1RQJm/N+LOSU9AnelyS4SaU0Blm3Igw59NQMRXYhCa31BAZkNO/EagU0B0wjRW7HxPQH9qukDO709AillasLFiUUA/meLtgcdTQMrj1OtEp09A5Vr43/8AUUDvyYqn5GRSQFoRZS8kgVFARiUbhC2bUUCnj0wrDapPQLV7CHPt0FBAFWyKbBtJUUCHkTi96jxKQFM4GySKGk9AAmW70qfqTkB/H+FDmotTQDUv06E7NFJAV0nL/wy3U0DB5pswAiVSQDKTj0PkqFJAm2Z01vWdUkB7pgrLnMlQQPxFFK2H4VFA2sAPh02IUkBuxbwhVItOQOLj4is6vFFAjLJQyEVEUUAoOsM4UZlQQAyQ60j1gVBAl/RzZFmnUEA/5w5rY+tPQAMg0IjAoVFATLfYtERBUEAlmKPqSz1QQDn3Mb+RWFJAn7rb1rtyUUBPQruZdEdSQGdjgfXDhlJAd8rMjPGVU0Ca+rvzym9SQAnXooPrC1NAdp+5Q4uGUEAMluZn+RhQQIlsZiDT3lFA+SGPe4UzTkAFRToNpNxQQANmmBnwNFBAwGQGfr6TUEAFPn6/6/9QQD1hyKk1/FNAKAl0U80UU0D75pZgz4VTQD+EpltT60pABhGTNoAqU0BerISe0BlRQKrs89GUxk5ARHml4f9SU0D5RSRMQMhQQJZ+J05J41NAAHYGaW2jS0DBWOBFC/BOQNPoX9dPgE5AQn1k6CpPTUChuqNeJ0ZRQOpV4FySfE1AuDQb1wKnUUB28qVc8RRSQOYllBv1eFFAcPDpVTYvUEBbkilBVXhRQB03CBzGhFVA8VmpYUxETkCU31mcvepQQAWxXwaVKk9Ax633uyExUUB4gm7XU1NSQGEu9G5frFFAlQgFwGwHTUCIiz0X1uhSQH4LWqBXrlBAuY9Rr4IpUEBqawxmmOVQQBEcXFxB+kxApPSrGWE6UEASiLaiOk1NQIVSW0fhelNAHfgDyHKlUECovVZxlLpQQHxlGCpbyFBA0jTA8+cmVEBmeqIes7tPQGLJ2haNhVJAEuKeb/s+UEDeWpCdSydNQDCxQdirklNAbjSqcvPAUEDrTLHQwCJQQLK/Qfj4qFFAWXzliOQVTkCkYu3jPvxQQEWbwMerhVJAKzzDS2grU0DRtvkS1e9QQH/xGd4K4lBAOkBexEHlTEBY9iRcpt9TQLl96kQZ+E9AEfxpirRnVEBDfHzA3UVTQEXM50AIxVRA623VJTU5TUB+agSgAfRUQCg5k3ohalFA8B0yvUqdUUBRcv0lGLRPQIOUV101CFJAXm5kSHH+TkDZOLFcUMpOQHEY4SroElBATqLQTWMgUUB7M1Uu4ZFRQOzmx+xusFBAVY+WWNZ4UUC7Y5q7dyxRQDRmag6k8FBAgxqNoBdiUkDB8dTQlIxRQM3Hlp68/lBAqNWG9U4gUkBbc876TwJMQGzvNW/erVNAWkafIJglUUDEoNUyBmxTQEPcePOvllBAbcvabJvdTkBcSM3cI19PQILkElqIvFFAs6nIGmfzUkDGFNFN/CJPQKvtOybQQ05AUjn9pvUnUEDy1t9DojNKQMvCvcYmFlJAHZOQNLvsVECgmXNJKuFRQMYtkQR8mlFApDlP7hxeTUDcf2BwSQpRQIs4flDQ/1BAaxBIfLA2UUAU6BtsNZFQQE9n6jbkP09AVQ/VHkH8TUDPOclnnAJRQP+T62yLXFJA6pnDy882T0Dh6X42LCdSQEjqPUIoDk5Ak1gxpkrWUkDjU2a1S6pRQK279ev2DFRA4wpqcBgkUkCQt6zgE8hQQL7b6O1Bs1FA9uUauMKLVEBqhkDvIrZQQFjK2StzdFFAW8Hh0qGjTED0GttNpJJQQGUEhYeE9VJA2FnBCWdsUUDJ4xsWTbhSQHaBaGfhHFRAJengatqoUUATqFu/Gh9QQNpBfkGIEkxAW+LO2lamT0DsmqBmvEVQQAA6o8P1RlBAGnPr95jSUkD79yXpTc1OQL4lWNTTNFNAkWmX4VQKTEBSoSfk7IdPQElKH9v/BlFAk6TvJk71UkBIi+ayTr1QQMSer8fwRFBAm1LmH2XhT0Df8fr9I3xQQIhZ/Dke1lBAzVCyaWwOUEDCbHZgsABMQBY/OLajs1FAUmZDIEpdT0CmTv33PVZSQJE301cVr01AAGW+r3KCUEDUPakz8KNOQCxeLi7Ltk5Aji7PMqGfUEDQy5j1bqZPQLWZqcJHsFJAxtVh5YN6UECNJ1Eut0xQQO2JQ28xsFJASaI7zI/NT0ALei75a8pMQGiti9NrXlBAnc4040bHUkA1xPnn5WZQQIZRe5FErFBAzHQgDgI6T0DU7ZKtLohPQOAqs1osJ1FAfDeafQsCUEAGFb73LCxSQItJjNKgslFAAR2fJbdSTUC0iZzBdApPQB5yi03z9lJAqCIOXkyNT0DTTQSs6nNSQM3L8js0mFFAm3UPlg+BTEC8t2megXBTQAsvdtNoVVRAotFKyWggVEBkFIm7/eZMQPxPgg6l8k9ARfnTJ2VcVUBFohGfUSlTQMCpEm4KL1BAfnSBRyrSUEA64SHEEuxRQKQpMegcbVBAvxjoQDewUkBa/Nq7DjpSQPo7fKp1e1BAwT2svwiwUUBRuc4OCUZRQGWzWTzU0FBAIyXQTFXcUUADtFDesuhSQJJapp/SI1JAYBThxCI2T0AI9q3re8tQQJqaJf0WCE9A8HVV7/lMT0DkXWoJ+BNQQG0/x6oksFBAObYyIZVVUUAojSdigPBQQCrT0ck6Ak5AsLh7I0+eTkALmWOnwAdSQB/e/CyE70xAaeUBUKJ3T0Cd2YlafCJSQO4H1N2/UVJAfKRK9/5TU0DhEq2ljaJQQO2+kTPET1FAjwj/eTOGUEAHPXLqf39QQNaFTDMwnVNAo9dr68WlUkAwZmjE4dtQQDngI308cFBA9znHhmDGUkAfOq4i23xNQFp/62e3FFJA6cIWwFOUUkBcCXyal+9SQCkqELV5ilBAAoY5POudU0BjQrWMNpNTQCPM6tOK10pAY5sgemr3U0DBU2qv0CJRQCKn6/pwjE5AJgqM6spzTUCZJMu+46tTQJs9GkMJ/lFAhsRY/N0i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{\"attributes\":{\"ticker\":{\"id\":\"1159\",\"type\":\"BasicTicker\"}},\"id\":\"1162\",\"type\":\"Grid\"},{\"attributes\":{\"callback\":null,\"data\":{\"x\":{\"__ndarray__\":\"RDEF6NK17D9EMQXo0rXsP+xxtRtFJ+4/7HG1G0Un7j+VsmVPt5jvP5WyZU+3mO8/nvmKwRSF8D+e+YrBFIXwP/MZY9vNPfE/8xlj28098T9HOjv1hvbxP0c6O/WG9vE/m1oTD0Cv8j+bWhMPQK/yP+966yj5Z/M/73rrKPln8z9Em8NCsiD0P0Sbw0KyIPQ/mLubXGvZ9D+Yu5tca9n0P+zbc3YkkvU/7NtzdiSS9T9A/EuQ3Ur2P0D8S5DdSvY/lBwkqpYD9z+UHCSqlgP3P+g8/MNPvPc/6Dz8w0+89z88XdTdCHX4Pzxd1N0Idfg/kX2s98Et+T+Rfaz3wS35P+WdhBF75vk/5Z2EEXvm+T85vlwrNJ/6Pzm+XCs0n/o/jt40Re1X+z+O3jRF7Vf7P+L+DF+mEPw/4v4MX6YQ/D82H+V4X8n8PzYf5Xhfyfw/\",\"dtype\":\"float64\",\"shape\":[42]},\"y\":{\"__ndarray__\":\"AAAAAAAAAABc6FhXKyqSP1zoWFcrKpI/T+hYVysqsj9P6FhXKyqyP+xAq8jXFc4/7ECryNcVzj/2xB+2eSjjP/bEH7Z5KOM/n68Tsny78j+frxOyfLvyP0oGj7edEAFASgaPt50QAUDq/Blm+/UFQOr8GWb79QVAFEogGnowCUAUSiAaejAJQO69horgyglA7r2GiuDKCUBzIi8ttrQGQHMiLy22tAZAH+Z8MSJtAEAf5nwxIm0AQKlfLB53nfk/qV8sHned+T9xSIovIO7vP3FIii8g7u8/vkVozme25T++RWjOZ7blPwg+iWcf3tM/CD6JZx/e0z+16emHB0bHP7Xp6YcHRsc/oJbb2MvJrz+gltvYy8mvP2RcBQNBP6s/ZFwFA0E/qz9nBUTCcG+kP2cFRMJwb6Q/ilwFA0E/iz+KXAUDQT+LPwAAAAAAAAAA\",\"dtype\":\"float64\",\"shape\":[42]}},\"selected\":{\"id\":\"1241\",\"type\":\"Selection\"},\"selection_policy\":{\"id\":\"1242\",\"type\":\"UnionRenderers\"}},\"id\":\"1144\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"1202\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"1171\",\"type\":\"SaveTool\"},{\"attributes\":{},\"id\":\"1156\",\"type\":\"LinearScale\"},{\"attributes\":{\"text\":\"\",\"text_color\":{\"value\":\"black\"},\"text_font_size\":{\"value\":\"12pt\"}},\"id\":\"1259\",\"type\":\"Title\"},{\"attributes\":{},\"id\":\"1173\",\"type\":\"HelpTool\"},{\"attributes\":{},\"id\":\"1135\",\"type\":\"ResetTool\"},{\"attributes\":{\"line_width\":{\"value\":2},\"xs\":{\"field\":\"xs\"},\"ys\":{\"field\":\"ys\"}},\"id\":\"1193\",\"type\":\"MultiLine\"}],\"root_ids\":[\"1271\"]},\"title\":\"Bokeh Application\",\"version\":\"1.4.0\"}};\n",
" var render_items = [{\"docid\":\"287a9d90-5140-4a56-8aa5-54c39a7b51b3\",\"roots\":{\"1271\":\"1eb7a6df-b0ba-4e3d-88d0-dc343d807af8\"}}];\n",
" root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
"\n",
" }\n",
" if (root.Bokeh !== undefined) {\n",
" embed_document(root);\n",
" } else {\n",
" var attempts = 0;\n",
" var timer = setInterval(function(root) {\n",
" if (root.Bokeh !== undefined) {\n",
" clearInterval(timer);\n",
" embed_document(root);\n",
" } else {\n",
" attempts++;\n",
" if (attempts > 100) {\n",
" clearInterval(timer);\n",
" console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
" }\n",
" }\n",
" }, 10, root)\n",
" }\n",
"})(window);"
],
"application/vnd.bokehjs_exec.v0+json": ""
},
"metadata": {
"application/vnd.bokehjs_exec.v0+json": {
"id": "1271"
}
},
"output_type": "display_data"
}
],
"source": [
"# Package replicates in data frame for plotting\n",
"df_res = pd.DataFrame(data=bs_reps, columns=[\"α*\", \"b*\"])\n",
"\n",
"with warnings.catch_warnings():\n",
" warnings.simplefilter(\"ignore\")\n",
" p = bebi103.viz.corner(\n",
" samples=df_res,\n",
" pars=[\"α*\", \"b*\"],\n",
" show_contours=True,\n",
" levels = [0.95],\n",
" )\n",
"\n",
"bokeh.io.show(p)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The plots on the diagonal contain the histograms of the bootstrap replicates for the MLE estimates. The off-diagonal plot shows a plot of all the bootstrap replicates of the MLE with a contour plot overlaid. By selecting `levels=0.95`, we have asked for a 95% confidence region; approximately 95% of all bootstrap replicates lie within the contour. This is not exact, though, as some smoothing is done to generate the contour, which is necessary for confidence regions in two or more dimensions because we have a finite number of samples.\n",
"\n",
"**An important note**: These are *not* distributions of the true parameters values. In a frequentist setting, that has no meaning. These are distributions of the maximum likelihood estimates for the parameters where we have estimated the generative distribution using the empirical distribution.\n",
"\n",
"It is also useful to note that we can access the contour lines directly using the `bebi103.viz.contour_lines_from_samples()` function and can overlay them on the samples. We may also find such contours useful in other custom visualizations."
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.holoviews_exec.v0+json": "",
"text/html": [
"
\n",
"\n",
"\n",
"\n",
"\n",
"\n",
" \n",
"
\n",
""
],
"text/plain": [
":Overlay\n",
" .Points.I :Points [α*,b*]\n",
" .Path.I :Path [x,y]"
]
},
"execution_count": 10,
"metadata": {
"application/vnd.holoviews_exec.v0+json": {
"id": "1491"
}
},
"output_type": "execute_result"
}
],
"source": [
"# Get contour line\n",
"xs, ys = bebi103.viz.contour_lines_from_samples(bs_reps[:,0], bs_reps[:,1], levels=0.95)\n",
"\n",
"# Overlay with sample\n",
"points * hv.Path(\n",
" data=(xs[0], ys[0])\n",
").opts(\n",
" color='black'\n",
")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Parametric confidence intervals\n",
"\n",
"We repeat the calculation for a parametric confidence interval. As we write a function for this, we need to include an `mle_fun` as for `draw_bs_reps_mle()`, but we also need to provide a function that draws new data sets out of the parametric model."
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [],
"source": [
"def draw_parametric_bs_reps_mle(\n",
" mle_fun, gen_fun, data, args=(), size=1, progress_bar=False\n",
"):\n",
" \"\"\"Draw parametric bootstrap replicates of maximum likelihood estimator.\n",
" \n",
" Parameters\n",
" ----------\n",
" mle_fun : function\n",
" Function with call signature mle_fun(data, *args) that computes\n",
" a MLE for the parameters\n",
" gen_fun : function\n",
" Function to randomly draw a new data set out of the model\n",
" distribution parametrized by the MLE. Must have call\n",
" signature `gen_fun(*params, size)`.\n",
" data : one-dimemsional Numpy array\n",
" Array of measurements\n",
" args : tuple, default ()\n",
" Arguments to be passed to `mle_fun()`.\n",
" size : int, default 1\n",
" Number of bootstrap replicates to draw.\n",
" progress_bar : bool, default False\n",
" Whether or not to display progress bar.\n",
" \n",
" Returns\n",
" -------\n",
" output : numpy array\n",
" Bootstrap replicates of MLEs.\n",
" \"\"\"\n",
" params = mle_fun(data, *args)\n",
"\n",
" if progress_bar:\n",
" iterator = tqdm.tqdm(range(size))\n",
" else:\n",
" iterator = range(size)\n",
"\n",
" return np.array(\n",
" [mle_fun(gen_fun(*params, size=len(data), *args)) for _ in iterator]\n",
" )"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"To draw parametric bootstrap replicates, we need only to provide the function to generate samples from the model distribution. We directly use the Negative Binomial functionality of the Numpy `random` module."
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [],
"source": [
"def gen_nbinom(alpha, b, size):\n",
" return rg.negative_binomial(alpha, 1 / (1 + b), size=size)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Let's draw them for Nanog."
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"100%|██████████| 5000/5000 [03:20<00:00, 24.94it/s]\n"
]
}
],
"source": [
"bs_reps_parametric = draw_parametric_bs_reps_mle(\n",
" mle_iid_nbinom, gen_nbinom, df[\"Nanog\"].values, args=(), size=5000, progress_bar=True\n",
")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Now that we have our samples, we can compute the confidence intervals, as we did in the nonparametric case."
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([[ 1.09260993, 56.53319744],\n",
" [ 1.48980071, 82.94533987]])"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"np.percentile(bs_reps_parametric, [2.5, 97.5], axis=0)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We get very similar confidence intervals as for the nonparametric case. We can also look at the corner plot."
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
" \n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
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Application\",\"version\":\"1.4.0\"}};\n",
" var render_items = [{\"docid\":\"8afb1d65-cc43-4f99-b33d-0bac40f2c8b7\",\"roots\":{\"1852\":\"3c6cda92-7a74-485c-8f2f-38159043b4ad\"}}];\n",
" root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
"\n",
" }\n",
" if (root.Bokeh !== undefined) {\n",
" embed_document(root);\n",
" } else {\n",
" var attempts = 0;\n",
" var timer = setInterval(function(root) {\n",
" if (root.Bokeh !== undefined) {\n",
" clearInterval(timer);\n",
" embed_document(root);\n",
" } else {\n",
" attempts++;\n",
" if (attempts > 100) {\n",
" clearInterval(timer);\n",
" console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
" }\n",
" }\n",
" }, 10, root)\n",
" }\n",
"})(window);"
],
"application/vnd.bokehjs_exec.v0+json": ""
},
"metadata": {
"application/vnd.bokehjs_exec.v0+json": {
"id": "1852"
}
},
"output_type": "display_data"
}
],
"source": [
"# Package replicates in data frame for plotting\n",
"df_res = pd.DataFrame(data=bs_reps_parametric, columns=[\"α*\", \"b*\"])\n",
"\n",
"with warnings.catch_warnings():\n",
" warnings.simplefilter(\"ignore\")\n",
" p = bebi103.viz.corner(\n",
" samples=df_res,\n",
" pars=[\"α*\", \"b*\"],\n",
" show_contours=True,\n",
" levels = [0.95],\n",
" )\n",
"\n",
"bokeh.io.show(p)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The corner plot is indeed similar to the nonparametric case.\n",
"\n",
"We could compute confidence intervals for the other genes, but we will not do that here to save time, since each computation takes about three minutes. In the next lesson, we will parallelize the calculations to make them faster."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Computing environment"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"CPython 3.7.5\n",
"IPython 7.9.0\n",
"\n",
"numpy 1.17.4\n",
"scipy 1.3.1\n",
"pandas 0.24.2\n",
"tqdm 4.39.0\n",
"bokeh 1.4.0\n",
"holoviews 1.12.7\n",
"bebi103 0.0.45\n",
"jupyterlab 1.2.3\n"
]
}
],
"source": [
"%load_ext watermark\n",
"\n",
"%watermark -v -p numpy,scipy,pandas,tqdm,bokeh,holoviews,bebi103,jupyterlab"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.5"
}
},
"nbformat": 4,
"nbformat_minor": 4
}