{ "cells": [ { "cell_type": "markdown", "id": "91784ee8", "metadata": { "ExecuteTime": { "end_time": "2023-05-22T02:13:15.533248Z", "start_time": "2023-05-22T02:13:15.401697Z" } }, "source": [ "# 3D Gene Regulatory Network" ] }, { "cell_type": "markdown", "id": "59b83035", "metadata": {}, "source": [ "Gene regulatory networks (GRNs) are intricate systems that govern the complex interactions between genes and their regulatory elements, playing a fundamental role in controlling gene expression patterns within cells. These networks consist of genes, transcription factors, and other regulatory molecules that work in concert to determine when and to what extent genes are activated or repressed [[VandeSande20](https://www.nature.com/articles/s41596-020-0336-2)]. \n", "\n", "Here, in Stereopy, we provide a computational tool specifically designed for inferring TF-centered, spatial GRNs using spatially resolved transcriptomics (SRT) data. To ensure accurate GRN inference, we employ pre-defined transcription factors (TFs) and utilize cis-regulatory element activity inference (CIS) as part of the methodology. This approach allows us to capture the regulatory interactions and dynamics of gene expression at a spatial level, providing valuable insights into the organization and control of gene regulatory networks in complex biological systems [[Fang23]](https://doi.org/10.1101/2023.12.04.569485).\n", "\n", "It is important to note that the GRN analysis discussed here forms a crucial segment of the comprehensive NicheReg3D pipeline.\n", "\n", "This part shows how to perform the function of Gene Regulatory Network on 3D data (several samples)." ] }, { "cell_type": "markdown", "id": "ad6b2cb8-aa8a-4e1f-8b11-fb958d7904f0", "metadata": {}, "source": [ "## MSData construction" ] }, { "cell_type": "markdown", "id": "96736dad", "metadata": {}, "source": [ "We use *Drosophila melanogaster* data to simulate a 3D model. Download the [example data](http://upload.dcs.cloud:8090/share/bb6fab82-2c16-46b2-a95e-6931338f31bf) first." ] }, { "cell_type": "code", "execution_count": 1, "id": "cd19767b", "metadata": { "ExecuteTime": { "end_time": "2023-05-26T01:45:01.688413Z", "start_time": "2023-05-26T01:44:58.145173Z" }, "execution": { "iopub.execute_input": "2023-11-15T05:57:44.584265Z", "iopub.status.busy": "2023-11-15T05:57:44.583685Z", "iopub.status.idle": "2023-11-15T05:58:00.836398Z", "shell.execute_reply": "2023-11-15T05:58:00.835723Z", "shell.execute_reply.started": "2023-11-15T05:57:44.584217Z" }, "tags": [] }, "outputs": [ { "data": { "application/javascript": "(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 if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\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, js_modules, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n if (js_modules == null) js_modules = [];\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.length === 0 && js_modules.length === 0) {\n run_callbacks();\n return null;\n }\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all 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}, function(Bokeh) {\n inject_raw_css(\".bk.pn-loading:before {\\n position: absolute;\\n height: 100%;\\n width: 100%;\\n content: '';\\n z-index: 1000;\\n background-color: rgb(255,255,255,0.50);\\n border-color: lightgray;\\n background-repeat: no-repeat;\\n background-position: center;\\n background-size: auto 50%;\\n border-width: 1px;\\n cursor: progress;\\n}\\n.bk.pn-loading.arcs:hover:before {\\n cursor: progress;\\n}\\n\");\n }, function(Bokeh) {\n inject_raw_css(\".bk.debugger-card {\\n border: 1px solid rgba(0,0,0,1);\\n color: rgba(255,255,255,1);\\n background-color: rgba(0,0,0,1);\\n border-radius: 0rem;\\n}\\n.bk.debugger-card-header {\\n align-items: center;\\n text-align: left;\\n background-color: rgba(0, 0, 0, 1)!important;\\n color: rgba(255, 255, 255, 1);\\n border-radius: 0rem;\\n display: inline-flex;\\n justify-content: start;\\n width: 100%;\\n}\\n.bk.debugger-card-button {\\n background-color: transparent;\\n color: rgba(255, 255, 255, 1);\\n margin-left: 0.5em;\\n}\\n.bk.debugger-card-title {\\n align-items: center;\\n text-align: left;\\n color: rgba(255, 255, 255, 1);\\n font-size: 1em;\\n overflow-wrap: break-word;\\n}\\n\\n/* Special debugger buttons for clearing and saving */\\n.bk button.special_btn {\\n width: 25px;\\n height: 25px;\\n background-color: black;\\n color: white;\\n display: inline-block;\\n}\\n\\n\\n.bk button.special_btn .tooltiptext {\\n visibility: hidden;\\n width: 100px;\\n background-color: darkgray;\\n color: #fff;\\n text-align: center;\\n border-radius: 6px;\\n padding: 5px 0;\\n\\n /* Position the tooltip */\\n position: relative;\\n z-index: 1;\\n top: 100%;\\n left: 100%;\\n margin-left: -100px;\\n display: block;\\n}\\n\\n.bk button.special_btn:hover .tooltiptext {\\n visibility: visible;\\n}\\n\\n\\n\\n.bk button.clear_btn:hover .shown { display: none;}\\n.bk button.clear_btn:hover:before { content: \\\"\\u2611\\\"; }\\n\");\n }, function(Bokeh) {\n inject_raw_css(\"table.panel-df {\\n margin-left: auto;\\n margin-right: auto;\\n border: none;\\n border-collapse: collapse;\\n border-spacing: 0;\\n color: black;\\n font-size: 12px;\\n table-layout: fixed;\\n width: 100%;\\n}\\n\\n.panel-df tr, .panel-df th, .panel-df td {\\n text-align: right;\\n vertical-align: middle;\\n padding: 0.5em 0.5em !important;\\n line-height: normal;\\n white-space: normal;\\n max-width: none;\\n border: none;\\n}\\n\\n.panel-df tbody {\\n display: table-row-group;\\n vertical-align: middle;\\n border-color: inherit;\\n}\\n\\n.panel-df tbody tr:nth-child(odd) {\\n background: #f5f5f5;\\n}\\n\\n.panel-df thead {\\n border-bottom: 1px solid black;\\n vertical-align: bottom;\\n}\\n\\n.panel-df tr:hover {\\n background: lightblue !important;\\n cursor: pointer;\\n}\\n\");\n }, function(Bokeh) {\n inject_raw_css(\".bk.panel-widget-box {\\n min-height: 20px;\\n background-color: #f5f5f5;\\n border: 1px solid #e3e3e3;\\n border-radius: 4px;\\n -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.05);\\n box-shadow: inset 0 1px 1px rgba(0,0,0,.05);\\n overflow-x: hidden;\\n overflow-y: hidden;\\n}\\n\\n.scrollable {\\n overflow: scroll;\\n}\\n\\nprogress {\\n appearance: none;\\n -moz-appearance: none;\\n -webkit-appearance: none;\\n border: none;\\n height: 20px;\\n background-color: whiteSmoke;\\n border-radius: 3px;\\n box-shadow: 0 2px 3px rgba(0,0,0,.5) inset;\\n color: royalblue;\\n position: relative;\\n margin: 0 0 1.5em;\\n}\\n\\nprogress[value]::-webkit-progress-bar {\\n background-color: whiteSmoke;\\n border-radius: 3px;\\n box-shadow: 0 2px 3px rgba(0,0,0,.5) inset;\\n}\\n\\nprogress[value]::-webkit-progress-value {\\n position: relative;\\n background-size: 35px 20px, 100% 100%, 100% 100%;\\n border-radius:3px;\\n}\\n\\nprogress.active:not([value])::before {\\n background-position: 10%;\\n animation-name: stripes;\\n animation-duration: 3s;\\n animation-timing-function: linear;\\n animation-iteration-count: infinite;\\n}\\n\\nprogress[value]::-moz-progress-bar {\\n background-size: 35px 20px, 100% 100%, 100% 100%;\\n border-radius:3px;\\n}\\n\\nprogress:not([value])::-moz-progress-bar {\\n border-radius:3px;\\n background: linear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n}\\n\\nprogress.active:not([value])::-moz-progress-bar {\\n background-position: 10%;\\n animation-name: stripes;\\n animation-duration: 3s;\\n animation-timing-function: linear;\\n animation-iteration-count: infinite;\\n}\\n\\nprogress.active:not([value])::-webkit-progress-bar {\\n background-position: 10%;\\n animation-name: stripes;\\n animation-duration: 3s;\\n animation-timing-function: linear;\\n animation-iteration-count: infinite;\\n}\\n\\nprogress.primary[value]::-webkit-progress-value { background-color: #007bff; }\\nprogress.primary:not([value])::before { background-color: #007bff; }\\nprogress.primary:not([value])::-webkit-progress-bar { background-color: #007bff; }\\nprogress.primary::-moz-progress-bar { background-color: #007bff; }\\n\\nprogress.secondary[value]::-webkit-progress-value { background-color: #6c757d; }\\nprogress.secondary:not([value])::before { background-color: #6c757d; }\\nprogress.secondary:not([value])::-webkit-progress-bar { background-color: #6c757d; }\\nprogress.secondary::-moz-progress-bar { background-color: #6c757d; }\\n\\nprogress.success[value]::-webkit-progress-value { background-color: #28a745; }\\nprogress.success:not([value])::before { background-color: #28a745; }\\nprogress.success:not([value])::-webkit-progress-bar { background-color: #28a745; }\\nprogress.success::-moz-progress-bar { background-color: #28a745; }\\n\\nprogress.danger[value]::-webkit-progress-value { background-color: #dc3545; }\\nprogress.danger:not([value])::before { background-color: #dc3545; }\\nprogress.danger:not([value])::-webkit-progress-bar { background-color: #dc3545; }\\nprogress.danger::-moz-progress-bar { background-color: #dc3545; }\\n\\nprogress.warning[value]::-webkit-progress-value { background-color: #ffc107; }\\nprogress.warning:not([value])::before { background-color: #ffc107; }\\nprogress.warning:not([value])::-webkit-progress-bar { background-color: #ffc107; }\\nprogress.warning::-moz-progress-bar { background-color: #ffc107; }\\n\\nprogress.info[value]::-webkit-progress-value { background-color: #17a2b8; }\\nprogress.info:not([value])::before { background-color: #17a2b8; }\\nprogress.info:not([value])::-webkit-progress-bar { background-color: #17a2b8; }\\nprogress.info::-moz-progress-bar { background-color: #17a2b8; }\\n\\nprogress.light[value]::-webkit-progress-value { background-color: #f8f9fa; }\\nprogress.light:not([value])::before { background-color: #f8f9fa; }\\nprogress.light:not([value])::-webkit-progress-bar { background-color: #f8f9fa; }\\nprogress.light::-moz-progress-bar { background-color: #f8f9fa; }\\n\\nprogress.dark[value]::-webkit-progress-value { background-color: #343a40; 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linear-gradient(45deg, #0f0f0f 50%, #f8f9fa 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.dark-dark::after {\\n background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #343a40 50%);\\n}\\n\\n/* Safari */\\n@-webkit-keyframes spin {\\n 0% { -webkit-transform: rotate(0deg); }\\n 100% { -webkit-transform: rotate(360deg); }\\n}\\n\\n@keyframes spin {\\n 0% { transform: rotate(0deg); }\\n 100% { transform: rotate(360deg); }\\n}\\n\\n.dot div {\\n height: 100%;\\n width: 100%;\\n border: 1px solid #000 !important;\\n background-color: #fff;\\n border-radius: 50%;\\n display: inline-block;\\n}\\n\\n.dot-filled div {\\n height: 100%;\\n width: 100%;\\n border: 1px solid #000 !important;\\n border-radius: 50%;\\n display: inline-block;\\n}\\n\\n.dot-filled.primary div {\\n background-color: #007bff;\\n}\\n\\n.dot-filled.secondary div {\\n background-color: #6c757d;\\n}\\n\\n.dot-filled.success div {\\n background-color: #28a745;\\n}\\n\\n.dot-filled.danger div {\\n background-color: #dc3545;\\n}\\n\\n.dot-filled.warning div {\\n background-color: #ffc107;\\n}\\n\\n.dot-filled.info div {\\n background-color: #17a2b8;\\n}\\n\\n.dot-filled.dark div {\\n background-color: #343a40;\\n}\\n\\n.dot-filled.light div {\\n background-color: #f8f9fa;\\n}\\n\\n/* Slider editor */\\n.slider-edit .bk-input-group .bk-input {\\n border: 0;\\n border-radius: 0;\\n min-height: 0;\\n padding-left: 0;\\n padding-right: 0;\\n font-weight: bold;\\n}\\n\\n.slider-edit .bk-input-group .bk-spin-wrapper {\\n display: contents;\\n}\\n\\n.slider-edit .bk-input-group .bk-spin-wrapper .bk.bk-spin-btn-up {\\n top: -6px;\\n}\\n\\n.slider-edit .bk-input-group .bk-spin-wrapper .bk.bk-spin-btn-down {\\n bottom: 3px;\\n}\\n\\n/* JSON Pane */\\n.bk-root .json-formatter-row .json-formatter-string, .bk-root .json-formatter-row .json-formatter-stringifiable {\\n white-space: pre-wrap;\\n}\\n\\n.ql-bubble .ql-editor {\\n border: 1px solid #ccc;\\n}\\n\");\n }, function(Bokeh) {\n inject_raw_css(\".json-formatter-row {\\n font-family: monospace;\\n}\\n.json-formatter-row,\\n.json-formatter-row a,\\n.json-formatter-row a:hover {\\n color: black;\\n text-decoration: none;\\n}\\n.json-formatter-row .json-formatter-row {\\n margin-left: 1rem;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty {\\n opacity: 0.5;\\n margin-left: 1rem;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty:after {\\n display: none;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-object:after {\\n content: \\\"No properties\\\";\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-array:after {\\n content: \\\"[]\\\";\\n}\\n.json-formatter-row .json-formatter-string,\\n.json-formatter-row .json-formatter-stringifiable {\\n color: green;\\n white-space: pre;\\n word-wrap: break-word;\\n}\\n.json-formatter-row .json-formatter-number {\\n color: blue;\\n}\\n.json-formatter-row .json-formatter-boolean {\\n color: red;\\n}\\n.json-formatter-row .json-formatter-null {\\n color: #855A00;\\n}\\n.json-formatter-row .json-formatter-undefined {\\n color: #ca0b69;\\n}\\n.json-formatter-row .json-formatter-function {\\n color: #FF20ED;\\n}\\n.json-formatter-row .json-formatter-date {\\n background-color: rgba(0, 0, 0, 0.05);\\n}\\n.json-formatter-row .json-formatter-url {\\n text-decoration: underline;\\n color: blue;\\n cursor: pointer;\\n}\\n.json-formatter-row .json-formatter-bracket {\\n color: blue;\\n}\\n.json-formatter-row .json-formatter-key {\\n color: #00008B;\\n padding-right: 0.2rem;\\n}\\n.json-formatter-row .json-formatter-toggler-link {\\n cursor: pointer;\\n}\\n.json-formatter-row .json-formatter-toggler {\\n line-height: 1.2rem;\\n font-size: 0.7rem;\\n vertical-align: middle;\\n opacity: 0.6;\\n cursor: pointer;\\n padding-right: 0.2rem;\\n}\\n.json-formatter-row .json-formatter-toggler:after {\\n display: inline-block;\\n transition: transform 100ms ease-in;\\n content: \\\"\\\\25BA\\\";\\n}\\n.json-formatter-row > a > .json-formatter-preview-text {\\n opacity: 0;\\n transition: opacity 0.15s ease-in;\\n font-style: italic;\\n}\\n.json-formatter-row:hover > a > .json-formatter-preview-text {\\n opacity: 0.6;\\n}\\n.json-formatter-row.json-formatter-open > .json-formatter-toggler-link .json-formatter-toggler:after {\\n transform: rotate(90deg);\\n}\\n.json-formatter-row.json-formatter-open > .json-formatter-children:after {\\n display: inline-block;\\n}\\n.json-formatter-row.json-formatter-open > a > .json-formatter-preview-text {\\n display: none;\\n}\\n.json-formatter-row.json-formatter-open.json-formatter-empty:after {\\n display: block;\\n}\\n.json-formatter-dark.json-formatter-row {\\n font-family: monospace;\\n}\\n.json-formatter-dark.json-formatter-row,\\n.json-formatter-dark.json-formatter-row a,\\n.json-formatter-dark.json-formatter-row a:hover {\\n color: white;\\n text-decoration: none;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-row {\\n margin-left: 1rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty {\\n opacity: 0.5;\\n margin-left: 1rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty:after {\\n display: none;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-object:after {\\n content: \\\"No properties\\\";\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-array:after {\\n content: \\\"[]\\\";\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-string,\\n.json-formatter-dark.json-formatter-row .json-formatter-stringifiable {\\n color: #31F031;\\n white-space: pre;\\n word-wrap: break-word;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-number {\\n color: #66C2FF;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-boolean {\\n color: #EC4242;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-null {\\n color: #EEC97D;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-undefined {\\n color: #ef8fbe;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-function {\\n color: #FD48CB;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-date {\\n background-color: rgba(255, 255, 255, 0.05);\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-url {\\n text-decoration: underline;\\n color: #027BFF;\\n cursor: pointer;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-bracket {\\n color: #9494FF;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-key {\\n color: #23A0DB;\\n padding-right: 0.2rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler-link {\\n cursor: pointer;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler {\\n line-height: 1.2rem;\\n font-size: 0.7rem;\\n vertical-align: middle;\\n opacity: 0.6;\\n cursor: pointer;\\n padding-right: 0.2rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler:after {\\n display: inline-block;\\n transition: transform 100ms ease-in;\\n content: \\\"\\\\25BA\\\";\\n}\\n.json-formatter-dark.json-formatter-row > a > .json-formatter-preview-text {\\n opacity: 0;\\n transition: opacity 0.15s ease-in;\\n font-style: italic;\\n}\\n.json-formatter-dark.json-formatter-row:hover > a > .json-formatter-preview-text {\\n opacity: 0.6;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > .json-formatter-toggler-link .json-formatter-toggler:after {\\n transform: rotate(90deg);\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > .json-formatter-children:after {\\n display: inline-block;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > a > .json-formatter-preview-text {\\n display: none;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open.json-formatter-empty:after {\\n display: block;\\n}\\n\");\n }, function(Bokeh) {\n inject_raw_css(\".codehilite .hll { background-color: #ffffcc }\\n.codehilite { background: #f8f8f8; }\\n.codehilite .c { color: #408080; font-style: italic } /* Comment */\\n.codehilite .err { border: 1px solid #FF0000 } /* Error */\\n.codehilite .k { color: #008000; font-weight: bold } /* Keyword */\\n.codehilite .o { color: #666666 } /* Operator */\\n.codehilite .ch { color: #408080; font-style: italic } /* Comment.Hashbang */\\n.codehilite .cm { color: #408080; font-style: italic } /* Comment.Multiline */\\n.codehilite .cp { color: #BC7A00 } /* Comment.Preproc */\\n.codehilite .cpf { color: #408080; font-style: italic } /* Comment.PreprocFile */\\n.codehilite .c1 { color: #408080; font-style: italic } /* Comment.Single */\\n.codehilite .cs { color: #408080; font-style: italic } /* Comment.Special */\\n.codehilite .gd { color: #A00000 } /* Generic.Deleted */\\n.codehilite .ge { font-style: italic } /* Generic.Emph */\\n.codehilite .gr { color: #FF0000 } /* Generic.Error */\\n.codehilite .gh { color: #000080; font-weight: bold } /* Generic.Heading */\\n.codehilite .gi { color: #00A000 } /* Generic.Inserted */\\n.codehilite .go { color: #888888 } /* Generic.Output */\\n.codehilite .gp { color: #000080; font-weight: bold } /* Generic.Prompt */\\n.codehilite .gs { font-weight: bold } /* Generic.Strong */\\n.codehilite .gu { color: #800080; font-weight: bold } /* Generic.Subheading */\\n.codehilite .gt { color: #0044DD } /* Generic.Traceback */\\n.codehilite .kc { color: #008000; font-weight: bold } /* Keyword.Constant */\\n.codehilite .kd { color: #008000; font-weight: bold } /* Keyword.Declaration */\\n.codehilite .kn { color: #008000; font-weight: bold } /* Keyword.Namespace */\\n.codehilite .kp { color: #008000 } /* Keyword.Pseudo */\\n.codehilite .kr { color: #008000; font-weight: bold } /* Keyword.Reserved */\\n.codehilite .kt { color: #B00040 } /* Keyword.Type */\\n.codehilite .m { color: #666666 } /* Literal.Number */\\n.codehilite .s { color: #BA2121 } /* Literal.String */\\n.codehilite .na { color: #7D9029 } /* Name.Attribute */\\n.codehilite .nb { color: #008000 } /* Name.Builtin */\\n.codehilite .nc { color: #0000FF; font-weight: bold } /* Name.Class */\\n.codehilite .no { color: #880000 } /* Name.Constant */\\n.codehilite .nd { color: #AA22FF } /* Name.Decorator */\\n.codehilite .ni { color: #999999; font-weight: bold } /* Name.Entity */\\n.codehilite .ne { color: #D2413A; font-weight: bold } /* Name.Exception */\\n.codehilite .nf { color: #0000FF } /* Name.Function */\\n.codehilite .nl { color: #A0A000 } /* Name.Label */\\n.codehilite .nn { color: #0000FF; font-weight: bold } /* Name.Namespace */\\n.codehilite .nt { color: #008000; font-weight: bold } /* Name.Tag */\\n.codehilite .nv { color: #19177C } /* Name.Variable */\\n.codehilite .ow { color: #AA22FF; font-weight: bold } /* Operator.Word */\\n.codehilite .w { color: #bbbbbb } /* Text.Whitespace */\\n.codehilite .mb { color: #666666 } /* Literal.Number.Bin */\\n.codehilite .mf { color: #666666 } /* Literal.Number.Float */\\n.codehilite .mh { color: #666666 } /* Literal.Number.Hex */\\n.codehilite .mi { color: #666666 } /* Literal.Number.Integer */\\n.codehilite .mo { color: #666666 } /* Literal.Number.Oct */\\n.codehilite .sa { color: #BA2121 } /* Literal.String.Affix */\\n.codehilite .sb { color: #BA2121 } /* Literal.String.Backtick */\\n.codehilite .sc { color: #BA2121 } /* Literal.String.Char */\\n.codehilite .dl { color: #BA2121 } /* Literal.String.Delimiter */\\n.codehilite .sd { color: #BA2121; font-style: italic } /* Literal.String.Doc */\\n.codehilite .s2 { color: #BA2121 } /* Literal.String.Double */\\n.codehilite .se { color: #BB6622; font-weight: bold } /* Literal.String.Escape */\\n.codehilite .sh { color: #BA2121 } /* Literal.String.Heredoc */\\n.codehilite .si { color: #BB6688; font-weight: bold } /* Literal.String.Interpol */\\n.codehilite .sx { color: #008000 } /* Literal.String.Other */\\n.codehilite .sr { color: #BB6688 } /* Literal.String.Regex */\\n.codehilite .s1 { color: #BA2121 } /* Literal.String.Single */\\n.codehilite .ss { color: #19177C } /* Literal.String.Symbol */\\n.codehilite .bp { color: #008000 } /* Name.Builtin.Pseudo */\\n.codehilite .fm { color: #0000FF } /* Name.Function.Magic */\\n.codehilite .vc { color: #19177C } /* Name.Variable.Class */\\n.codehilite .vg { color: #19177C } /* Name.Variable.Global */\\n.codehilite .vi { color: #19177C } /* Name.Variable.Instance */\\n.codehilite .vm { color: #19177C } /* Name.Variable.Magic */\\n.codehilite .il { color: #666666 } /* Literal.Number.Integer.Long */\\n\\n.markdown h1 { margin-block-start: 0.34em }\\n.markdown h2 { margin-block-start: 0.42em }\\n.markdown h3 { margin-block-start: 0.5em }\\n.markdown h4 { margin-block-start: 0.67em }\\n.markdown h5 { margin-block-start: 0.84em }\\n.markdown h6 { margin-block-start: 1.17em }\\n.markdown ul { padding-inline-start: 2em }\\n.markdown ol { padding-inline-start: 2em }\\n.markdown strong { font-weight: 600 }\\n.markdown a { color: -webkit-link }\\n.markdown a { color: -moz-hyperlinkText }\\n\");\n }, function(Bokeh) {\n inject_raw_css(\".bk.alert {\\n padding: 0.75rem 1.25rem;\\n border: 1px solid transparent;\\n border-radius: 0.25rem;\\n /* Don't set margin because that will not render correctly! */\\n /* margin-bottom: 1rem; */\\n margin-top: 15px;\\n margin-bottom: 15px;\\n}\\n.bk.alert a {\\n color: rgb(11, 46, 19); /* #002752; */\\n font-weight: 700;\\n text-decoration: rgb(11, 46, 19);\\n text-decoration-color: rgb(11, 46, 19);\\n text-decoration-line: none;\\n text-decoration-style: solid;\\n text-decoration-thickness: auto;\\n }\\n.bk.alert a:hover {\\n color: rgb(11, 46, 19);\\n font-weight: 700;\\n text-decoration: underline;\\n}\\n\\n.bk.alert-primary {\\n color: #004085;\\n background-color: #cce5ff;\\n border-color: #b8daff;\\n}\\n.bk.alert-primary hr {\\n border-top-color: #9fcdff;\\n}\\n\\n.bk.alert-secondary {\\n color: #383d41;\\n background-color: #e2e3e5;\\n border-color: #d6d8db;\\n }\\n.bk.alert-secondary hr {\\n border-top-color: #c8cbcf;\\n}\\n\\n.bk.alert-success {\\n color: #155724;\\n background-color: #d4edda;\\n border-color: #c3e6cb;\\n }\\n\\n.bk.alert-success hr {\\n border-top-color: #b1dfbb;\\n}\\n\\n.bk.alert-info {\\n color: #0c5460;\\n background-color: #d1ecf1;\\n border-color: #bee5eb;\\n }\\n.bk.alert-info hr {\\n border-top-color: #abdde5;\\n}\\n\\n.bk.alert-warning {\\n color: #856404;\\n background-color: #fff3cd;\\n border-color: #ffeeba;\\n }\\n\\n.bk.alert-warning hr {\\n border-top-color: #ffe8a1;\\n}\\n\\n.bk.alert-danger {\\n color: #721c24;\\n background-color: #f8d7da;\\n border-color: #f5c6cb;\\n}\\n.bk.alert-danger hr {\\n border-top-color: #f1b0b7;\\n}\\n\\n.bk.alert-light {\\n color: #818182;\\n background-color: #fefefe;\\n border-color: #fdfdfe;\\n }\\n.bk.alert-light hr {\\n border-top-color: #ececf6;\\n}\\n\\n.bk.alert-dark {\\n color: #1b1e21;\\n background-color: #d6d8d9;\\n border-color: #c6c8ca;\\n }\\n.bk.alert-dark hr {\\n border-top-color: #b9bbbe;\\n}\\n\\n\\n/* adjf\\u00e6l */\\n\\n.bk.alert-primary a {\\n color: #002752;\\n}\\n\\n.bk.alert-secondary a {\\n color: #202326;\\n}\\n\\n\\n.bk.alert-success a {\\n color: #0b2e13;\\n}\\n\\n\\n.bk.alert-info a {\\n color: #062c33;\\n}\\n\\n\\n.bk.alert-warning a {\\n color: #533f03;\\n}\\n\\n\\n.bk.alert-danger a {\\n color: #491217;\\n}\\n\\n.bk.alert-light a {\\n color: #686868;\\n}\\n\\n.bk.alert-dark a {\\n color: #040505;\\n}\\n\");\n }, function(Bokeh) {\n inject_raw_css(\"\\n .bk.pn-loading.arcs:before {\\n background-image: url(\\\"data:image/svg+xml;base64,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\\\");\\n background-size: auto calc(min(50%, 400px));\\n }\\n \");\n }, function(Bokeh) {\n /* BEGIN bokeh.min.js */\n /*!\n * Copyright (c) 2012 - 2022, Anaconda, Inc., and Bokeh Contributors\n * All rights reserved.\n * \n * Redistribution and use in source and binary forms, with or without modification,\n * are permitted provided that the following conditions are met:\n * \n * Redistributions of source code must retain the above copyright notice,\n * this list of conditions and the following disclaimer.\n * \n * Redistributions in binary form must reproduce the above copyright notice,\n * this list of conditions and the following disclaimer in the documentation\n * and/or other materials provided with the distribution.\n * \n * Neither the name of Anaconda nor the names of any contributors\n * may be used to endorse or promote products derived from this software\n * without specific prior written permission.\n * \n * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n * THE POSSIBILITY OF SUCH DAMAGE.\n */\n (function(root, factory) {\n const bokeh = factory();\n bokeh.__bokeh__ = true;\n if (typeof root.Bokeh === \"undefined\" || typeof root.Bokeh.__bokeh__ === \"undefined\") {\n root.Bokeh = bokeh;\n }\n const Bokeh = root.Bokeh;\n Bokeh[bokeh.version] = bokeh;\n })(this, function() {\n let define;\n const parent_require = typeof require === \"function\" && require\n return (function(modules, entry, aliases, externals) {\n if (aliases === undefined) aliases = {};\n if (externals === undefined) externals = {};\n\n const cache = {};\n\n const normalize = function(name) {\n if (typeof name === \"number\")\n return name;\n\n if (name === \"bokehjs\")\n return entry;\n\n if (!externals[name]) {\n const prefix = \"@bokehjs/\"\n if (name.slice(0, prefix.length) === prefix)\n name = name.slice(prefix.length)\n }\n\n const alias = aliases[name]\n if (alias != null)\n return alias;\n\n const trailing = name.length > 0 && name[name.lenght-1] === \"/\";\n const index = aliases[name + (trailing ? \"\" : \"/\") + \"index\"];\n if (index != null)\n return index;\n\n return name;\n }\n\n const require = function(name) {\n let mod = cache[name];\n if (!mod) {\n const id = normalize(name);\n\n mod = cache[id];\n if (!mod) {\n if (!modules[id]) {\n if (externals[id] === false || (externals[id] == true && parent_require)) {\n try {\n mod = {exports: externals[id] ? parent_require(id) : {}};\n cache[id] = cache[name] = mod;\n return mod.exports;\n } catch (e) {}\n }\n\n const err = new Error(\"Cannot find module '\" + name + \"'\");\n err.code = 'MODULE_NOT_FOUND';\n throw err;\n }\n\n mod = {exports: {}};\n cache[id] = cache[name] = mod;\n\n function __esModule() {\n Object.defineProperty(mod.exports, \"__esModule\", {value: true});\n }\n\n function __esExport(name, value) {\n Object.defineProperty(mod.exports, name, {\n enumerable: true, get: function () { return value; }\n });\n }\n\n modules[id].call(mod.exports, require, mod, mod.exports, __esModule, __esExport);\n } else {\n cache[name] = mod;\n }\n }\n\n return mod.exports;\n }\n require.resolve = function(name) {\n return \"\"\n }\n\n const main = require(entry);\n main.require = require;\n\n if (typeof Proxy !== \"undefined\") {\n // allow Bokeh.loader[\"@bokehjs/module/name\"] syntax\n main.loader = new Proxy({}, {\n get: function(_obj, module) {\n return require(module);\n }\n });\n }\n\n main.register_plugin = function(plugin_modules, plugin_entry, plugin_aliases, 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null==this._interactive_timestamp?-1:Date.now()-this._interactive_timestamp}destructively_move(e){if(e===this)throw new Error(\"Attempted to overwrite a document with itself\");e.clear();const t=(0,g.copy)(this._roots);this.clear();for(const e of t)if(null!=e.document)throw new Error(`Somehow we didn't detach ${e}`);if(0!=this._all_models.size)throw new Error(`this._all_models still had stuff in it: ${this._all_models}`);for(const s of t)e.add_root(s);e.set_title(this._title)}_push_all_models_freeze(){this._all_models_freeze_count+=1}_pop_all_models_freeze(){this._all_models_freeze_count-=1,0===this._all_models_freeze_count&&this._recompute_all_models()}_invalidate_all_models(){_.logger.debug(\"invalidating document models\"),0===this._all_models_freeze_count&&this._recompute_all_models()}_recompute_all_models(){let e=new Set;for(const t of this._roots)e=p.union(e,t.references());const t=new Set(this._all_models.values()),s=p.difference(t,e),o=p.difference(e,t),n=new Map;for(const t of e)n.set(t.id,t);for(const e of s)e.detach_document();for(const e of o)e.attach_document(this);this._all_models=n}roots(){return this._roots}add_root(e,t){if(_.logger.debug(`Adding root: ${e}`),!(0,g.includes)(this._roots,e)){this._push_all_models_freeze();try{this._roots.push(e)}finally{this._pop_all_models_freeze()}this._trigger_on_change(new z.RootAddedEvent(this,e,t))}}remove_root(e,t){const s=this._roots.indexOf(e);if(!(s<0)){this._push_all_models_freeze();try{this._roots.splice(s,1)}finally{this._pop_all_models_freeze()}this._trigger_on_change(new z.RootRemovedEvent(this,e,t))}}title(){return this._title}set_title(e,t){e!==this._title&&(this._title=e,this._trigger_on_change(new z.TitleChangedEvent(this,e,t)))}get_model_by_id(e){var t;return null!==(t=this._all_models.get(e))&&void 0!==t?t:null}get_model_by_name(e){const t=[];for(const s of this._all_models.values())s instanceof M.Model&&s.name==e&&t.push(s);switch(t.length){case 0:return null;case 1:return t[0];default:throw new Error(`Multiple models are named '${e}'`)}}on_message(e,t){const s=this._message_callbacks.get(e);null==s?this._message_callbacks.set(e,new Set([t])):s.add(t)}remove_on_message(e,t){var s;null===(s=this._message_callbacks.get(e))||void 0===s||s.delete(t)}_trigger_on_message(e,t){const s=this._message_callbacks.get(e);if(null!=s)for(const e of s)e(t)}on_change(e,t=!1){this._callbacks.has(e)||this._callbacks.set(e,t)}remove_on_change(e){this._callbacks.delete(e)}_trigger_on_change(e){for(const[t,s]of this._callbacks)if(!s&&e instanceof z.DocumentEventBatch)for(const s of e.events)t(s);else t(e)}_notify_change(e,t,s,o,n){this._trigger_on_change(new z.ModelChangedEvent(this,e,t,s,o,null==n?void 0:n.setter_id,null==n?void 0:n.hint))}static _instantiate_object(e,t,s,o){const n=Object.assign(Object.assign({},s),{id:e,__deferred__:!0});return new(o.get(t))(n)}static _instantiate_references_json(e,t,s){var o;const n=new Map;for(const i of e){const e=i.id,r=i.type,l=null!==(o=i.attributes)&&void 0!==o?o:{};let _=t.get(e);null==_&&(_=E._instantiate_object(e,r,l,s),null!=i.subtype&&_.set_subtype(i.subtype)),n.set(_.id,_)}return n}static _resolve_refs(e,t,s,o){function n(e){var i;if((0,f.is_ref)(e)){const o=null!==(i=t.get(e.id))&&void 0!==i?i:s.get(e.id);if(null!=o)return o;throw new Error(`reference ${JSON.stringify(e)} isn't known (not in Document?)`)}if((0,u.is_NDArray_ref)(e)){const{buffer:t,dtype:s,shape:n}=(0,u.decode_NDArray)(e,o);return(0,m.ndarray)(t,{dtype:s,shape:n})}return(0,b.isArray)(e)?function(e){const t=[];for(const s of e)t.push(n(s));return t}(e):(0,b.isPlainObject)(e)?function(e){const t={};for(const[s,o]of(0,v.entries)(e))t[s]=n(o);return t}(e):e}return n(e)}static _initialize_references_json(e,t,s,o){const n=new Map;for(const{id:i,attributes:r}of e){const e=!t.has(i),l=e?s.get(i):t.get(i),_=E._resolve_refs(r,t,s,o);l.setv(_,{silent:!0}),n.set(i,{instance:l,is_new:e})}const i=[],r=new Set;function l(e){if(e instanceof c.HasProps){if(n.has(e.id)&&!r.has(e.id)){r.add(e.id);const{instance:t,is_new:s}=n.get(e.id),{attributes:o}=t;for(const e of(0,v.values)(o))l(e);s&&(t.finalize(),i.push(t))}}else if((0,b.isArray)(e))for(const t of e)l(t);else if((0,b.isPlainObject)(e))for(const t of(0,v.values)(e))l(t)}for(const e of n.values())l(e.instance);for(const e of i)e.connect_signals()}static _event_for_attribute_change(e,t,s,o,n){if(o.get_model_by_id(e.id).property(t).syncable){const i={kind:\"ModelChanged\",model:{id:e.id},attr:t,new:s};return c.HasProps._json_record_references(o,s,n,{recursive:!0}),i}return null}static _events_to_sync_objects(e,t,s,o){const n=Object.keys(e.attributes),i=Object.keys(t.attributes),r=(0,g.difference)(n,i),l=(0,g.difference)(i,n),a=(0,g.intersection)(n,i),c=[];for(const e of r)_.logger.warn(`Server sent key ${e} but we don't seem to have it in our JSON`);for(const n of l){const i=t.attributes[n];c.push(E._event_for_attribute_change(e,n,i,s,o))}for(const n of a){const i=e.attributes[n],r=t.attributes[n];null==i&&null==r||(null==i||null==r?c.push(E._event_for_attribute_change(e,n,r,s,o)):\"data\"==n||(0,w.is_equal)(i,r)||c.push(E._event_for_attribute_change(e,n,r,s,o)))}return c.filter((e=>null!=e))}static _compute_patch_since_json(e,t){const s=t.to_json(!1);function o(e){const t=new Map;for(const s of e.roots.references)t.set(s.id,s);return t}const n=o(e),i=new Map,r=[];for(const t of e.roots.root_ids)i.set(t,n.get(t)),r.push(t);const l=o(s),_=new Map,a=[];for(const e of s.roots.root_ids)_.set(e,l.get(e)),a.push(e);if(r.sort(),a.sort(),(0,g.difference)(r,a).length>0||(0,g.difference)(a,r).length>0)throw new Error(\"Not implemented: computing add/remove of document roots\");const c=new Set;let h=[];for(const e of t._all_models.keys())if(n.has(e)){const s=E._events_to_sync_objects(n.get(e),l.get(e),t,c);h=h.concat(s)}const f=new d.Serializer({include_defaults:!1});return f.to_serializable([...c]),{references:[...f.definitions],events:h}}to_json_string(e=!0){return JSON.stringify(this.to_json(e))}to_json(e=!0){const t=new d.Serializer({include_defaults:e}),s=t.to_serializable(this._roots);return{version:l.version,title:this._title,roots:{root_ids:s.map((e=>e.id)),references:[...t.definitions]}}}static from_json_string(e){const t=JSON.parse(e);return E.from_json(t)}static from_json(e){_.logger.debug(\"Creating Document from JSON\");const t=e.version,s=-1!==t.indexOf(\"+\")||-1!==t.indexOf(\"-\"),o=`Library versions: JS (${l.version}) / Python (${t})`;s||l.version.replace(/-(dev|rc)\\./,\"$1\")==t?_.logger.debug(o):(_.logger.warn(\"JS/Python version mismatch\"),_.logger.warn(o));const n=new r.ModelResolver;null!=e.defs&&(0,j.resolve_defs)(e.defs,n);const i=e.roots,a=i.root_ids,c=i.references,d=E._instantiate_references_json(c,new Map,n);E._initialize_references_json(c,new Map,d,new Map);const h=new E({resolver:n});h._push_all_models_freeze();for(const e of a){const t=d.get(e);null!=t&&h.add_root(t)}return h._pop_all_models_freeze(),h.set_title(e.title),h}replace_with_json(e){E.from_json(e).destructively_move(this)}create_json_patch_string(e){return JSON.stringify(this.create_json_patch(e))}create_json_patch(e){for(const t of e)if(t.document!=this)throw new Error(\"Cannot create a patch using events from a different document\");const t=new d.Serializer,s=t.to_serializable(e);for(const e of this._all_models.values())t.remove_def(e);return{events:s,references:[...t.definitions]}}apply_json_patch(e,t=new Map,s){const o=e.references,n=e.events,i=E._instantiate_references_json(o,this._all_models,this._resolver);t instanceof Map||(t=new Map(t));for(const e of n)switch(e.kind){case\"RootAdded\":case\"RootRemoved\":case\"ModelChanged\":{const t=e.model.id,s=this._all_models.get(t);if(null!=s)i.set(t,s);else if(!i.has(t))throw _.logger.warn(`Got an event for unknown model ${e.model}\"`),new Error(\"event model wasn't known\");break}}const r=new Map(this._all_models),l=new Map;for(const[e,t]of i)r.has(e)||l.set(e,t);E._initialize_references_json(o,r,l,t);for(const e of n)switch(e.kind){case\"MessageSent\":{const{msg_type:s,msg_data:o}=e;let n;if(void 0===o){if(1!=t.size)throw new Error(\"expected exactly one buffer\");{const[[,e]]=t;n=e}}else n=E._resolve_refs(o,r,l,t);this._trigger_on_message(s,n);break}case\"ModelChanged\":{const o=e.model.id,n=this._all_models.get(o);if(null==n)throw new Error(`Cannot apply patch to ${o} which is not in the document`);const i=e.attr,_=E._resolve_refs(e.new,r,l,t);n.setv({[i]:_},{setter_id:s});break}case\"ColumnDataChanged\":{const o=e.column_source.id,n=this._all_models.get(o);if(null==n)throw new Error(`Cannot stream to ${o} which is not in the document`);const i=E._resolve_refs(e.new,new Map,new Map,t);if(null!=e.cols)for(const e in n.data)e in i||(i[e]=n.data[e]);n.setv({data:i},{setter_id:s,check_eq:!1});break}case\"ColumnsStreamed\":{const 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extends((0,c.Signalable)()){constructor(e={}){var t,s;super(),this._subtype=void 0,this.document=null,this.destroyed=new c.Signal0(this,\"destroyed\"),this.change=new c.Signal0(this,\"change\"),this.transformchange=new c.Signal0(this,\"transformchange\"),this.exprchange=new c.Signal0(this,\"exprchange\"),this.properties={},this._watchers=new WeakMap,this._pending=!1,this._changing=!1;const n=e instanceof Map?e.get.bind(e):t=>e[t];this.id=null!==(t=n(\"id\"))&&void 0!==t?t:(0,u.uniqueId)();for(const[e,{type:t,default_value:s,options:r}]of(0,l.entries)(this._props)){let i;t instanceof _.PropertyAlias?Object.defineProperty(this.properties,e,{get:()=>this.properties[t.attr],configurable:!1,enumerable:!1}):(i=t instanceof h.Kind?new _.PrimitiveProperty(this,e,t,s,n(e),r):new t(this,e,h.Any,s,n(e),r),this.properties[e]=i)}null!==(s=n(\"__deferred__\"))&&void 0!==s&&s||(this.finalize(),this.connect_signals())}get is_syncable(){return!0}set type(e){console.warn(\"prototype.type = 'ModelName' 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r=Object.assign({},this.prototype._props);r[t]=Object.assign(Object.assign({},n),{default_value:e}),this.prototype._props=r}}toString(){return`${this.type}(${this.id})`}property(e){const t=this.properties[e];if(null!=t)return t;throw new Error(`unknown property ${this.type}.${e}`)}get attributes(){const e={};for(const t of this)e[t.attr]=t.get_value();return e}[m.clone](e){const t=new Map;for(const s of this)s.dirty&&t.set(s.attr,e.clone(s.get_value()));return new this.constructor(t)}[y.equals](e,t){for(const s of this){const n=e.property(s.attr);if(!t.eq(s.get_value(),n.get_value()))return!1}return!0}[v.pretty](e){const t=e.token,s=[];for(const n of this)if(n.dirty){const r=n.get_value();s.push(`${n.attr}${t(\":\")} ${e.to_string(r)}`)}return`${this.constructor.__qualified__}${t(\"(\")}${t(\"{\")}${s.join(`${t(\",\")} `)}${t(\"}\")}${t(\")\")}`}[d.serialize](e){const t=this.ref();e.add_ref(this,t);const s=this.struct();for(const t of 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w._value_record_references(this,e,{recursive:!0}),e}_doc_attached(){}_doc_detached(){}attach_document(e){if(null!=this.document&&this.document!=e)throw new Error(\"models must be owned by only a single document\");this.document=e,this._doc_attached()}detach_document(){this._doc_detached(),this.document=null}_needs_invalidate(e,t){const s=new Set;w._value_record_references(t,s,{recursive:!1});const n=new Set;w._value_record_references(e,n,{recursive:!1});for(const e of s)if(!n.has(e))return!0;for(const e of n)if(!s.has(e))return!0;return!1}_push_changes(e,t={}){if(!this.is_syncable)return;const{document:s}=this;if(null==s)return;const{setter_id:n}=t,r=[];for(const[t,i,o]of e)t.syncable&&r.push(new g.ModelChangedEvent(s,this,t.attr,i,o,n));if(0!=r.length){let e;1==r.length?[e]=r:e=new g.DocumentEventBatch(s,r,n),s._trigger_on_change(e)}}on_change(e,t){for(const s of(0,f.isArray)(e)?e:[e])this.connect(s.change,t)}}s.HasProps=w,(o=w).prototype._props={},o.prototype._mixins=[]},\n function 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n[r.clone](this);if((0,i.isArray)(n)){const o=n.length,r=new Array(o);for(let e=0;e{null!=this.layout&&(this.layout.visible=this.model.visible,this.plot_view.request_layout())}))}get needs_clip(){return null==this.layout}serializable_state(){const t=super.serializable_state();return null==this.layout?t:Object.assign(Object.assign({},t),{bbox:this.layout.bbox.box})}}i.AnnotationView=r,r.__name__=\"AnnotationView\";class a extends l.Renderer{constructor(t){super(t)}}i.Annotation=a,o=a,a.__name__=\"Annotation\",o.override({level:\"annotation\"})},\n function _(e,i,t,n,s){n();const r=e(1);var o,a;const _=e(42),l=(0,r.__importStar)(e(45)),d=e(20),h=e(53),u=e(54);class c extends h.Model{constructor(e){super(e)}}t.RendererGroup=c,o=c,c.__name__=\"RendererGroup\",o.define((({Boolean:e})=>({visible:[e,!0]})));class p extends _.View{get coordinates(){const{_coordinates:e}=this;return null!=e?e:this._coordinates=this._initialize_coordinates()}initialize(){super.initialize(),this.visuals=new 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this.plot_view.canvas_view}request_render(){this.request_paint()}request_paint(){this.plot_view.request_paint(this)}request_layout(){this.plot_view.request_layout()}notify_finished(){this.plot_view.notify_finished()}notify_finished_after_paint(){this.plot_view.notify_finished_after_paint()}get needs_clip(){return!1}get has_webgl(){return!1}render(){this.model.visible&&this._render(),this._has_finished=!0}renderer_view(e){}}t.RendererView=p,p.__name__=\"RendererView\";class g extends h.Model{constructor(e){super(e)}}t.Renderer=g,a=g,g.__name__=\"Renderer\",a.define((({Boolean:e,String:i,Ref:t,Nullable:n})=>({group:[n(t(c)),null],level:[d.RenderLevel,\"image\"],visible:[e,!0],x_range_name:[i,\"default\"],y_range_name:[i,\"default\"],coordinates:[n(t(u.CoordinateMapping)),null]})))},\n function _(t,e,s,i,n){i();const o=t(1),h=t(15),r=t(43),l=t(8),_=(0,o.__importDefault)(t(44));class d{constructor(t){this.removed=new h.Signal0(this,\"removed\"),this._ready=Promise.resolve(void 0),this._slots=new WeakMap,this._idle_notified=!1;const{model:e,parent:s}=t;this.model=e,this.parent=s,this.root=null==s?this:s.root,this.removed.emit()}get ready(){return this._ready}connect(t,e){let s=this._slots.get(e);return null==s&&(s=(t,s)=>{const i=Promise.resolve(e.call(this,t,s));this._ready=this._ready.then((()=>i))},this._slots.set(e,s)),t.connect(s,this)}disconnect(t,e){return t.disconnect(e,this)}initialize(){this._has_finished=!1,this.is_root&&(this._stylesheet=r.stylesheet);for(const t of this.styles())this.stylesheet.append(t)}async lazy_initialize(){}remove(){this.disconnect_signals(),this.removed.emit()}toString(){return`${this.model.type}View(${this.model.id})`}serializable_state(){return{type:this.model.type}}get is_root(){return null==this.parent}has_finished(){return this._has_finished}get is_idle(){return this.has_finished()}connect_signals(){}disconnect_signals(){h.Signal.disconnect_receiver(this)}on_change(t,e){for(const s of(0,l.isArray)(t)?t:[t])this.connect(s.change,e)}cursor(t,e){return null}get stylesheet(){return this.is_root?this._stylesheet:this.root.stylesheet}styles(){return[_.default]}notify_finished(){this.is_root?!this._idle_notified&&this.has_finished()&&null!=this.model.document&&(this._idle_notified=!0,this.model.document.notify_idle(this.model)):this.root.notify_finished()}}s.View=d,d.__name__=\"View\"},\n function _(t,e,n,i,o){i();const s=t(8),l=t(13),r=t=>(e={},...n)=>{const i=document.createElement(t);i.classList.add(\"bk\"),(0,s.isPlainObject)(e)||(n=[e,...n],e={});for(let[t,n]of(0,l.entries)(e))if(null!=n&&(!(0,s.isBoolean)(n)||n))if(\"class\"===t&&((0,s.isString)(n)&&(n=n.split(/\\s+/)),(0,s.isArray)(n)))for(const t of n)null!=t&&i.classList.add(t);else if(\"style\"===t&&(0,s.isPlainObject)(n))for(const[t,e]of(0,l.entries)(n))i.style[t]=e;else if(\"data\"===t&&(0,s.isPlainObject)(n))for(const[t,e]of(0,l.entries)(n))i.dataset[t]=e;else i.setAttribute(t,n);function o(t){if((0,s.isString)(t))i.appendChild(document.createTextNode(t));else if(t instanceof Node)i.appendChild(t);else if(t instanceof NodeList||t instanceof HTMLCollection)for(const e of t)i.appendChild(e);else if(null!=t&&!1!==t)throw new Error(`expected a DOM element, string, false or null, got ${JSON.stringify(t)}`)}for(const t of n)if((0,s.isArray)(t))for(const e of t)o(e);else o(t);return i};function a(t){const e=t.parentNode;null!=e&&e.removeChild(t)}function c(t,...e){const n=t.firstChild;for(const i of e)t.insertBefore(i,n)}function d(t,e){var n,i,o;const s=Element.prototype;return(null!==(o=null!==(i=null!==(n=s.matches)&&void 0!==n?n:s.webkitMatchesSelector)&&void 0!==i?i:s.mozMatchesSelector)&&void 0!==o?o:s.msMatchesSelector).call(t,e)}function h(t){return parseFloat(t)||0}function f(t){const e=getComputedStyle(t);return{border:{top:h(e.borderTopWidth),bottom:h(e.borderBottomWidth),left:h(e.borderLeftWidth),right:h(e.borderRightWidth)},margin:{top:h(e.marginTop),bottom:h(e.marginBottom),left:h(e.marginLeft),right:h(e.marginRight)},padding:{top:h(e.paddingTop),bottom:h(e.paddingBottom),left:h(e.paddingLeft),right:h(e.paddingRight)}}}function u(t){const e=t.getBoundingClientRect();return{width:Math.ceil(e.width),height:Math.ceil(e.height)}}n.createElement=function(t,e,...n){return r(t)(e,...n)},n.div=r(\"div\"),n.span=r(\"span\"),n.canvas=r(\"canvas\"),n.link=r(\"link\"),n.style=r(\"style\"),n.a=r(\"a\"),n.p=r(\"p\"),n.i=r(\"i\"),n.pre=r(\"pre\"),n.button=r(\"button\"),n.label=r(\"label\"),n.input=r(\"input\"),n.select=r(\"select\"),n.option=r(\"option\"),n.optgroup=r(\"optgroup\"),n.textarea=r(\"textarea\"),n.createSVGElement=function(t,e,...n){const i=document.createElementNS(\"http://www.w3.org/2000/svg\",t);for(const[t,n]of(0,l.entries)(null!=e?e:{}))null==n||(0,s.isBoolean)(n)&&!n||i.setAttribute(t,n);function o(t){if((0,s.isString)(t))i.appendChild(document.createTextNode(t));else if(t instanceof Node)i.appendChild(t);else if(t instanceof NodeList||t instanceof HTMLCollection)for(const e of t)i.appendChild(e);else if(null!=t&&!1!==t)throw new Error(`expected a DOM element, string, false or null, got ${JSON.stringify(t)}`)}for(const t of n)if((0,s.isArray)(t))for(const e of t)o(e);else o(t);return i},n.nbsp=function(){return document.createTextNode(\"\\xa0\")},n.append=function(t,...e){for(const n of e)t.appendChild(n)},n.remove=a,n.removeElement=a,n.replaceWith=function(t,e){const n=t.parentNode;null!=n&&n.replaceChild(e,t)},n.prepend=c,n.empty=function(t,e=!1){let n;for(;n=t.firstChild;)t.removeChild(n);if(e&&t instanceof Element)for(const e of t.attributes)t.removeAttributeNode(e)},n.display=function(t){t.style.display=\"\"},n.undisplay=function(t){t.style.display=\"none\"},n.show=function(t){t.style.visibility=\"\"},n.hide=function(t){t.style.visibility=\"hidden\"},n.offset=function(t){const e=t.getBoundingClientRect();return{top:e.top+window.pageYOffset-document.documentElement.clientTop,left:e.left+window.pageXOffset-document.documentElement.clientLeft}},n.matches=d,n.parent=function(t,e){let n=t;for(;n=n.parentElement;)if(d(n,e))return n;return null},n.extents=f,n.size=u,n.scroll_size=function(t){return{width:Math.ceil(t.scrollWidth),height:Math.ceil(t.scrollHeight)}},n.outer_size=function(t){const{margin:{left:e,right:n,top:i,bottom:o}}=f(t),{width:s,height:l}=u(t);return{width:Math.ceil(s+e+n),height:Math.ceil(l+i+o)}},n.content_size=function(t){const{left:e,top:n}=t.getBoundingClientRect(),{padding:i}=f(t);let o=0,s=0;for(const l of t.children){const t=l.getBoundingClientRect();o=Math.max(o,Math.ceil(t.left-e-i.left+t.width)),s=Math.max(s,Math.ceil(t.top-n-i.top+t.height))}return{width:o,height:s}},n.position=function(t,e,n){const{style:i}=t;if(i.left=`${e.x}px`,i.top=`${e.y}px`,i.width=`${e.width}px`,i.height=`${e.height}px`,null==n)i.margin=\"\";else{const{top:t,right:e,bottom:o,left:s}=n;i.margin=`${t}px ${e}px ${o}px ${s}px`}},n.children=function(t){return Array.from(t.children)};class p{constructor(t){this.el=t,this.classList=t.classList}get values(){const t=[];for(let e=0;e{document.addEventListener(\"DOMContentLoaded\",(()=>t()),{once:!0})}))}},\n function _(o,i,t,e,r){e(),t.root=\"bk-root\",t.default=\".bk-root{position:relative;width:auto;height:auto;box-sizing:border-box;font-family:Helvetica, Arial, sans-serif;font-size:13px;}.bk-root .bk,.bk-root .bk:before,.bk-root .bk:after{box-sizing:inherit;margin:0;border:0;padding:0;background-image:none;font-family:inherit;font-size:100%;line-height:1.42857143;}.bk-root pre.bk{font-family:Courier, monospace;}\"},\n function _(e,t,r,a,c){a();const n=e(1),l=e(46);c(\"Line\",l.Line),c(\"LineScalar\",l.LineScalar),c(\"LineVector\",l.LineVector);const i=e(49);c(\"Fill\",i.Fill),c(\"FillScalar\",i.FillScalar),c(\"FillVector\",i.FillVector);const s=e(50);c(\"Text\",s.Text),c(\"TextScalar\",s.TextScalar),c(\"TextVector\",s.TextVector);const o=e(51);c(\"Hatch\",o.Hatch),c(\"HatchScalar\",o.HatchScalar),c(\"HatchVector\",o.HatchVector);const u=(0,n.__importStar)(e(48)),V=e(47);c(\"VisualProperties\",V.VisualProperties),c(\"VisualUniforms\",V.VisualUniforms);class h{constructor(e){this._visuals=[];for(const[t,r]of e.model._mixins){const a=(()=>{switch(r){case u.Line:return new l.Line(e,t);case u.LineScalar:return new l.LineScalar(e,t);case u.LineVector:return new l.LineVector(e,t);case u.Fill:return new i.Fill(e,t);case u.FillScalar:return new i.FillScalar(e,t);case u.FillVector:return new i.FillVector(e,t);case u.Text:return new s.Text(e,t);case u.TextScalar:return new s.TextScalar(e,t);case u.TextVector:return new s.TextVector(e,t);case u.Hatch:return new o.Hatch(e,t);case u.HatchScalar:return new o.HatchScalar(e,t);case u.HatchVector:return new o.HatchVector(e,t);default:throw new Error(\"unknown visual\")}})();a instanceof V.VisualProperties&&a.update(),this._visuals.push(a),Object.defineProperty(this,t+a.type,{get:()=>a,configurable:!1,enumerable:!0})}}*[Symbol.iterator](){yield*this._visuals}}r.Visuals=h,h.__name__=\"Visuals\"},\n function _(e,t,i,l,s){l();const a=e(1),n=e(47),h=(0,a.__importStar)(e(48)),o=e(22),_=e(8);function r(e){if((0,_.isArray)(e))return e;switch(e){case\"solid\":return[];case\"dashed\":return[6];case\"dotted\":return[2,4];case\"dotdash\":return[2,4,6,4];case\"dashdot\":return[6,4,2,4];default:return e.split(\" \").map(Number).filter(_.isInteger)}}i.resolve_line_dash=r;class u extends n.VisualProperties{get doit(){const e=this.line_color.get_value(),t=this.line_alpha.get_value(),i=this.line_width.get_value();return!(null==e||0==t||0==i)}apply(e){const{doit:t}=this;return t&&(this.set_value(e),e.stroke()),t}values(){return{color:this.line_color.get_value(),alpha:this.line_alpha.get_value(),width:this.line_width.get_value(),join:this.line_join.get_value(),cap:this.line_cap.get_value(),dash:this.line_dash.get_value(),offset:this.line_dash_offset.get_value()}}set_value(e){const t=this.line_color.get_value(),i=this.line_alpha.get_value();e.strokeStyle=(0,o.color2css)(t,i),e.lineWidth=this.line_width.get_value(),e.lineJoin=this.line_join.get_value(),e.lineCap=this.line_cap.get_value(),e.lineDash=r(this.line_dash.get_value()),e.lineDashOffset=this.line_dash_offset.get_value()}}i.Line=u,u.__name__=\"Line\";class c extends n.VisualUniforms{get doit(){const e=this.line_color.value,t=this.line_alpha.value,i=this.line_width.value;return!(0==e||0==t||0==i)}apply(e){const{doit:t}=this;return t&&(this.set_value(e),e.stroke()),t}values(){return{color:this.line_color.value,alpha:this.line_alpha.value,width:this.line_width.value,join:this.line_join.value,cap:this.line_cap.value,dash:this.line_dash.value,offset:this.line_dash_offset.value}}set_value(e){const t=this.line_color.value,i=this.line_alpha.value;e.strokeStyle=(0,o.color2css)(t,i),e.lineWidth=this.line_width.value,e.lineJoin=this.line_join.value,e.lineCap=this.line_cap.value,e.lineDash=r(this.line_dash.value),e.lineDashOffset=this.line_dash_offset.value}}i.LineScalar=c,c.__name__=\"LineScalar\";class d extends n.VisualUniforms{get doit(){const{line_color:e}=this;if(e.is_Scalar()&&0==e.value)return!1;const{line_alpha:t}=this;if(t.is_Scalar()&&0==t.value)return!1;const{line_width:i}=this;return!i.is_Scalar()||0!=i.value}apply(e,t){const{doit:i}=this;return i&&(this.set_vectorize(e,t),e.stroke()),i}values(e){return{color:this.line_color.get(e),alpha:this.line_alpha.get(e),width:this.line_width.get(e),join:this.line_join.get(e),cap:this.line_cap.get(e),dash:this.line_dash.get(e),offset:this.line_dash_offset.get(e)}}set_vectorize(e,t){const i=this.line_color.get(t),l=this.line_alpha.get(t),s=this.line_width.get(t),a=this.line_join.get(t),n=this.line_cap.get(t),h=this.line_dash.get(t),_=this.line_dash_offset.get(t);e.strokeStyle=(0,o.color2css)(i,l),e.lineWidth=s,e.lineJoin=a,e.lineCap=n,e.lineDash=r(h),e.lineDashOffset=_}}i.LineVector=d,d.__name__=\"LineVector\",u.prototype.type=\"line\",u.prototype.attrs=Object.keys(h.Line),c.prototype.type=\"line\",c.prototype.attrs=Object.keys(h.LineScalar),d.prototype.type=\"line\",d.prototype.attrs=Object.keys(h.LineVector)},\n function _(t,s,o,i,r){i();class e{constructor(t,s=\"\"){this.obj=t,this.prefix=s;const o=this;this._props=[];for(const i of this.attrs){const r=t.model.properties[s+i];r.change.connect((()=>this.update())),o[i]=r,this._props.push(r)}}*[Symbol.iterator](){yield*this._props}update(){}}o.VisualProperties=e,e.__name__=\"VisualProperties\";class p{constructor(t,s=\"\"){this.obj=t,this.prefix=s;for(const o of this.attrs)Object.defineProperty(this,o,{get:()=>t[s+o]})}*[Symbol.iterator](){for(const t of this.attrs)yield this.obj.model.properties[this.prefix+t]}update(){}}o.VisualUniforms=p,p.__name__=\"VisualUniforms\"},\n function _(e,l,t,a,c){a();const r=e(1),o=(0,r.__importStar)(e(18)),n=e(20),i=(0,r.__importStar)(e(21)),_=e(13);t.Line={line_color:[i.Nullable(i.Color),\"black\"],line_alpha:[i.Alpha,1],line_width:[i.Number,1],line_join:[n.LineJoin,\"bevel\"],line_cap:[n.LineCap,\"butt\"],line_dash:[i.Or(n.LineDash,i.Array(i.Number)),[]],line_dash_offset:[i.Number,0]},t.Fill={fill_color:[i.Nullable(i.Color),\"gray\"],fill_alpha:[i.Alpha,1]},t.Hatch={hatch_color:[i.Nullable(i.Color),\"black\"],hatch_alpha:[i.Alpha,1],hatch_scale:[i.Number,12],hatch_pattern:[i.Nullable(i.Or(n.HatchPatternType,i.String)),null],hatch_weight:[i.Number,1],hatch_extra:[i.Dict(i.AnyRef()),{}]},t.Text={text_color:[i.Nullable(i.Color),\"#444444\"],text_alpha:[i.Alpha,1],text_font:[o.Font,\"helvetica\"],text_font_size:[i.FontSize,\"16px\"],text_font_style:[n.FontStyle,\"normal\"],text_align:[n.TextAlign,\"left\"],text_baseline:[n.TextBaseline,\"bottom\"],text_line_height:[i.Number,1.2]},t.LineScalar={line_color:[o.ColorScalar,\"black\"],line_alpha:[o.NumberScalar,1],line_width:[o.NumberScalar,1],line_join:[o.LineJoinScalar,\"bevel\"],line_cap:[o.LineCapScalar,\"butt\"],line_dash:[o.LineDashScalar,[]],line_dash_offset:[o.NumberScalar,0]},t.FillScalar={fill_color:[o.ColorScalar,\"gray\"],fill_alpha:[o.NumberScalar,1]},t.HatchScalar={hatch_color:[o.ColorScalar,\"black\"],hatch_alpha:[o.NumberScalar,1],hatch_scale:[o.NumberScalar,12],hatch_pattern:[o.NullStringScalar,null],hatch_weight:[o.NumberScalar,1],hatch_extra:[o.AnyScalar,{}]},t.TextScalar={text_color:[o.ColorScalar,\"#444444\"],text_alpha:[o.NumberScalar,1],text_font:[o.FontScalar,\"helvetica\"],text_font_size:[o.FontSizeScalar,\"16px\"],text_font_style:[o.FontStyleScalar,\"normal\"],text_align:[o.TextAlignScalar,\"left\"],text_baseline:[o.TextBaselineScalar,\"bottom\"],text_line_height:[o.NumberScalar,1.2]},t.LineVector={line_color:[o.ColorSpec,\"black\"],line_alpha:[o.NumberSpec,1],line_width:[o.NumberSpec,1],line_join:[o.LineJoinSpec,\"bevel\"],line_cap:[o.LineCapSpec,\"butt\"],line_dash:[o.LineDashSpec,[]],line_dash_offset:[o.NumberSpec,0]},t.FillVector={fill_color:[o.ColorSpec,\"gray\"],fill_alpha:[o.NumberSpec,1]},t.HatchVector={hatch_color:[o.ColorSpec,\"black\"],hatch_alpha:[o.NumberSpec,1],hatch_scale:[o.NumberSpec,12],hatch_pattern:[o.NullStringSpec,null],hatch_weight:[o.NumberSpec,1],hatch_extra:[o.AnyScalar,{}]},t.TextVector={text_color:[o.ColorSpec,\"#444444\"],text_alpha:[o.NumberSpec,1],text_font:[o.FontSpec,\"helvetica\"],text_font_size:[o.FontSizeSpec,\"16px\"],text_font_style:[o.FontStyleSpec,\"normal\"],text_align:[o.TextAlignSpec,\"left\"],text_baseline:[o.TextBaselineSpec,\"bottom\"],text_line_height:[o.NumberSpec,1.2]},t.attrs_of=function(e,l,t,a=!1){const c={};for(const r of(0,_.keys)(t)){const t=`${l}${r}`,o=e[t];c[a?t:r]=o}return c}},\n function _(l,t,e,i,s){i();const a=l(1),o=l(47),r=(0,a.__importStar)(l(48)),_=l(22);class c extends o.VisualProperties{get doit(){const l=this.fill_color.get_value(),t=this.fill_alpha.get_value();return!(null==l||0==t)}apply(l,t){const{doit:e}=this;return e&&(this.set_value(l),l.fill(t)),e}values(){return{color:this.fill_color.get_value(),alpha:this.fill_alpha.get_value()}}set_value(l){const t=this.fill_color.get_value(),e=this.fill_alpha.get_value();l.fillStyle=(0,_.color2css)(t,e)}}e.Fill=c,c.__name__=\"Fill\";class h extends o.VisualUniforms{get doit(){const l=this.fill_color.value,t=this.fill_alpha.value;return!(0==l||0==t)}apply(l,t){const{doit:e}=this;return e&&(this.set_value(l),l.fill(t)),e}values(){return{color:this.fill_color.value,alpha:this.fill_alpha.value}}set_value(l){const t=this.fill_color.value,e=this.fill_alpha.value;l.fillStyle=(0,_.color2css)(t,e)}}e.FillScalar=h,h.__name__=\"FillScalar\";class u extends o.VisualUniforms{get doit(){const{fill_color:l}=this;if(l.is_Scalar()&&0==l.value)return!1;const{fill_alpha:t}=this;return!t.is_Scalar()||0!=t.value}apply(l,t,e){const{doit:i}=this;return i&&(this.set_vectorize(l,t),l.fill(e)),i}values(l){return{color:this.fill_color.get(l),alpha:this.fill_alpha.get(l)}}set_vectorize(l,t){const e=this.fill_color.get(t),i=this.fill_alpha.get(t);l.fillStyle=(0,_.color2css)(e,i)}}e.FillVector=u,u.__name__=\"FillVector\",c.prototype.type=\"fill\",c.prototype.attrs=Object.keys(r.Fill),h.prototype.type=\"fill\",h.prototype.attrs=Object.keys(r.FillScalar),u.prototype.type=\"fill\",u.prototype.attrs=Object.keys(r.FillVector)},\n function _(t,e,l,s,_){s();const i=t(1),a=t(47),o=(0,i.__importStar)(t(48)),n=t(22);class h extends a.VisualProperties{get doit(){const t=this.text_color.get_value(),e=this.text_alpha.get_value();return!(null==t||0==e)}values(){return{color:this.text_color.get_value(),alpha:this.text_alpha.get_value(),font:this.text_font.get_value(),font_size:this.text_font_size.get_value(),font_style:this.text_font_style.get_value(),align:this.text_align.get_value(),baseline:this.text_baseline.get_value(),line_height:this.text_line_height.get_value()}}set_value(t){const e=this.text_color.get_value(),l=this.text_alpha.get_value();t.fillStyle=(0,n.color2css)(e,l),t.font=this.font_value(),t.textAlign=this.text_align.get_value(),t.textBaseline=this.text_baseline.get_value()}font_value(){return`${this.text_font_style.get_value()} ${this.text_font_size.get_value()} ${this.text_font.get_value()}`}}l.Text=h,h.__name__=\"Text\";class x extends a.VisualUniforms{get doit(){const t=this.text_color.value,e=this.text_alpha.value;return!(0==t||0==e)}values(){return{color:this.text_color.value,alpha:this.text_alpha.value,font:this.text_font.value,font_size:this.text_font_size.value,font_style:this.text_font_style.value,align:this.text_align.value,baseline:this.text_baseline.value,line_height:this.text_line_height.value}}set_value(t){const e=this.text_color.value,l=this.text_alpha.value,s=this.font_value(),_=this.text_align.value,i=this.text_baseline.value;t.fillStyle=(0,n.color2css)(e,l),t.font=s,t.textAlign=_,t.textBaseline=i}font_value(){return`${this.text_font_style.value} ${this.text_font_size.value} ${this.text_font.value}`}}l.TextScalar=x,x.__name__=\"TextScalar\";class u extends a.VisualUniforms{values(t){return{color:this.text_color.get(t),alpha:this.text_alpha.get(t),font:this.text_font.get(t),font_size:this.text_font_size.get(t),font_style:this.text_font_style.get(t),align:this.text_align.get(t),baseline:this.text_baseline.get(t),line_height:this.text_line_height.get(t)}}get doit(){const{text_color:t}=this;if(t.is_Scalar()&&0==t.value)return!1;const{text_alpha:e}=this;return!e.is_Scalar()||0!=e.value}set_vectorize(t,e){const l=this.text_color.get(e),s=this.text_alpha.get(e),_=this.font_value(e),i=this.text_align.get(e),a=this.text_baseline.get(e);t.fillStyle=(0,n.color2css)(l,s),t.font=_,t.textAlign=i,t.textBaseline=a}font_value(t){return`${this.text_font_style.get(t)} ${this.text_font_size.get(t)} ${this.text_font.get(t)}`}}l.TextVector=u,u.__name__=\"TextVector\",h.prototype.type=\"text\",h.prototype.attrs=Object.keys(o.Text),x.prototype.type=\"text\",x.prototype.attrs=Object.keys(o.TextScalar),u.prototype.type=\"text\",u.prototype.attrs=Object.keys(o.TextVector)},\n function _(t,e,a,r,i){r();const h=t(1),s=t(47),n=t(52),c=(0,h.__importStar)(t(18)),_=(0,h.__importStar)(t(48));class l extends s.VisualProperties{constructor(){super(...arguments),this._update_iteration=0}update(){if(this._update_iteration++,this._hatch_image=null,!this.doit)return;const t=this.hatch_color.get_value(),e=this.hatch_alpha.get_value(),a=this.hatch_scale.get_value(),r=this.hatch_pattern.get_value(),i=this.hatch_weight.get_value(),h=t=>{this._hatch_image=t},s=this.hatch_extra.get_value()[r];if(null!=s){const r=s.get_pattern(t,e,a,i);if(r instanceof Promise){const{_update_iteration:t}=this;r.then((e=>{this._update_iteration==t&&(h(e),this.obj.request_render())}))}else h(r)}else{const s=this.obj.canvas.create_layer(),c=(0,n.get_pattern)(s,r,t,e,a,i);h(c)}}get doit(){const t=this.hatch_color.get_value(),e=this.hatch_alpha.get_value(),a=this.hatch_pattern.get_value();return!(null==t||0==e||\" \"==a||\"blank\"==a||null==a)}apply(t,e){const{doit:a}=this;return a&&(this.set_value(t),t.layer.undo_transform((()=>t.fill(e)))),a}set_value(t){const e=this.pattern(t);t.fillStyle=null!=e?e:\"transparent\"}pattern(t){const e=this._hatch_image;return null==e?null:t.createPattern(e,this.repetition())}repetition(){const t=this.hatch_pattern.get_value(),e=this.hatch_extra.get_value()[t];if(null==e)return\"repeat\";switch(e.repetition){case\"repeat\":return\"repeat\";case\"repeat_x\":return\"repeat-x\";case\"repeat_y\":return\"repeat-y\";case\"no_repeat\":return\"no-repeat\"}}}a.Hatch=l,l.__name__=\"Hatch\";class o extends s.VisualUniforms{constructor(){super(...arguments),this._static_doit=!1,this._update_iteration=0}_compute_static_doit(){const t=this.hatch_color.value,e=this.hatch_alpha.value,a=this.hatch_pattern.value;return!(null==t||0==e||\" \"==a||\"blank\"==a||null==a)}update(){this._update_iteration++;const t=this.hatch_color.length;if(this._hatch_image=new c.UniformScalar(null,t),this._static_doit=this._compute_static_doit(),!this._static_doit)return;const e=this.hatch_color.value,a=this.hatch_alpha.value,r=this.hatch_scale.value,i=this.hatch_pattern.value,h=this.hatch_weight.value,s=e=>{this._hatch_image=new c.UniformScalar(e,t)},_=this.hatch_extra.value[i];if(null!=_){const t=_.get_pattern(e,a,r,h);if(t instanceof Promise){const{_update_iteration:e}=this;t.then((t=>{this._update_iteration==e&&(s(t),this.obj.request_render())}))}else s(t)}else{const t=this.obj.canvas.create_layer(),c=(0,n.get_pattern)(t,i,e,a,r,h);s(c)}}get doit(){return this._static_doit}apply(t,e){const{doit:a}=this;return a&&(this.set_value(t),t.layer.undo_transform((()=>t.fill(e)))),a}set_value(t){var e;t.fillStyle=null!==(e=this.pattern(t))&&void 0!==e?e:\"transparent\"}pattern(t){const e=this._hatch_image.value;return null==e?null:t.createPattern(e,this.repetition())}repetition(){const t=this.hatch_pattern.value,e=this.hatch_extra.value[t];if(null==e)return\"repeat\";switch(e.repetition){case\"repeat\":return\"repeat\";case\"repeat_x\":return\"repeat-x\";case\"repeat_y\":return\"repeat-y\";case\"no_repeat\":return\"no-repeat\"}}}a.HatchScalar=o,o.__name__=\"HatchScalar\";class u extends s.VisualUniforms{constructor(){super(...arguments),this._static_doit=!1,this._update_iteration=0}_compute_static_doit(){const{hatch_color:t}=this;if(t.is_Scalar()&&0==t.value)return!1;const{hatch_alpha:e}=this;if(e.is_Scalar()&&0==e.value)return!1;const{hatch_pattern:a}=this;if(a.is_Scalar()){const t=a.value;if(\" \"==t||\"blank\"==t||null==t)return!1}return!0}update(){this._update_iteration++;const t=this.hatch_color.length;if(this._hatch_image=new c.UniformScalar(null,t),this._static_doit=this._compute_static_doit(),!this._static_doit)return;const e=(t,e,a,r,i,h)=>{const s=this.hatch_extra.value[t];if(null!=s){const t=s.get_pattern(e,a,r,i);if(t instanceof Promise){const{_update_iteration:e}=this;t.then((t=>{this._update_iteration==e&&(h(t),this.obj.request_render())}))}else h(t)}else{const s=this.obj.canvas.create_layer(),c=(0,n.get_pattern)(s,t,e,a,r,i);h(c)}};if(this.hatch_color.is_Scalar()&&this.hatch_alpha.is_Scalar()&&this.hatch_scale.is_Scalar()&&this.hatch_pattern.is_Scalar()&&this.hatch_weight.is_Scalar()){const a=this.hatch_color.value,r=this.hatch_alpha.value,i=this.hatch_scale.value;e(this.hatch_pattern.value,a,r,i,this.hatch_weight.value,(e=>{this._hatch_image=new c.UniformScalar(e,t)}))}else{const a=new Array(t);a.fill(null),this._hatch_image=new c.UniformVector(a);for(let r=0;r{a[r]=t}))}}}get doit(){return this._static_doit}apply(t,e,a){const{doit:r}=this;return r&&(this.set_vectorize(t,e),t.layer.undo_transform((()=>t.fill(a)))),r}set_vectorize(t,e){var a;t.fillStyle=null!==(a=this.pattern(t,e))&&void 0!==a?a:\"transparent\"}pattern(t,e){const a=this._hatch_image.get(e);return null==a?null:t.createPattern(a,this.repetition(e))}repetition(t){const e=this.hatch_pattern.get(t),a=this.hatch_extra.value[e];if(null==a)return\"repeat\";switch(a.repetition){case\"repeat\":return\"repeat\";case\"repeat_x\":return\"repeat-x\";case\"repeat_y\":return\"repeat-y\";case\"no_repeat\":return\"no-repeat\"}}}a.HatchVector=u,u.__name__=\"HatchVector\",l.prototype.type=\"hatch\",l.prototype.attrs=Object.keys(_.Hatch),o.prototype.type=\"hatch\",o.prototype.attrs=Object.keys(_.HatchScalar),u.prototype.type=\"hatch\",u.prototype.attrs=Object.keys(_.HatchVector)},\n function _(e,o,a,s,r){s();const i=e(22);function l(e,o,a){e.moveTo(0,a+.5),e.lineTo(o,a+.5),e.stroke()}function n(e,o,a){e.moveTo(a+.5,0),e.lineTo(a+.5,o),e.stroke()}function t(e,o){e.moveTo(0,o),e.lineTo(o,0),e.stroke(),e.moveTo(0,0),e.lineTo(o,o),e.stroke()}a.hatch_aliases={\" \":\"blank\",\".\":\"dot\",o:\"ring\",\"-\":\"horizontal_line\",\"|\":\"vertical_line\",\"+\":\"cross\",'\"':\"horizontal_dash\",\":\":\"vertical_dash\",\"@\":\"spiral\",\"/\":\"right_diagonal_line\",\"\\\\\":\"left_diagonal_line\",x:\"diagonal_cross\",\",\":\"right_diagonal_dash\",\"`\":\"left_diagonal_dash\",v:\"horizontal_wave\",\">\":\"vertical_wave\",\"*\":\"criss_cross\"},a.get_pattern=function(e,o,s,r,c,k){return e.resize(c,c),e.prepare(),function(e,o,s,r,c,k){var _;const T=c,v=T/2,h=v/2,d=(0,i.color2css)(s,r);switch(e.strokeStyle=d,e.fillStyle=d,e.lineCap=\"square\",e.lineWidth=k,null!==(_=a.hatch_aliases[o])&&void 0!==_?_:o){case\"blank\":break;case\"dot\":e.arc(v,v,v/2,0,2*Math.PI,!0),e.fill();break;case\"ring\":e.arc(v,v,v/2,0,2*Math.PI,!0),e.stroke();break;case\"horizontal_line\":l(e,T,v);break;case\"vertical_line\":n(e,T,v);break;case\"cross\":l(e,T,v),n(e,T,v);break;case\"horizontal_dash\":l(e,v,v);break;case\"vertical_dash\":n(e,v,v);break;case\"spiral\":{const o=T/30;e.moveTo(v,v);for(let a=0;a<360;a++){const s=.1*a,r=v+o*s*Math.cos(s),i=v+o*s*Math.sin(s);e.lineTo(r,i)}e.stroke();break}case\"right_diagonal_line\":e.moveTo(.5-h,T),e.lineTo(h+.5,0),e.stroke(),e.moveTo(h+.5,T),e.lineTo(3*h+.5,0),e.stroke(),e.moveTo(3*h+.5,T),e.lineTo(5*h+.5,0),e.stroke(),e.stroke();break;case\"left_diagonal_line\":e.moveTo(h+.5,T),e.lineTo(.5-h,0),e.stroke(),e.moveTo(3*h+.5,T),e.lineTo(h+.5,0),e.stroke(),e.moveTo(5*h+.5,T),e.lineTo(3*h+.5,0),e.stroke(),e.stroke();break;case\"diagonal_cross\":t(e,T);break;case\"right_diagonal_dash\":e.moveTo(h+.5,3*h+.5),e.lineTo(3*h+.5,h+.5),e.stroke();break;case\"left_diagonal_dash\":e.moveTo(h+.5,h+.5),e.lineTo(3*h+.5,3*h+.5),e.stroke();break;case\"horizontal_wave\":e.moveTo(0,h),e.lineTo(v,3*h),e.lineTo(T,h),e.stroke();break;case\"vertical_wave\":e.moveTo(h,0),e.lineTo(3*h,v),e.lineTo(h,T),e.stroke();break;case\"criss_cross\":t(e,T),l(e,T,v),n(e,T,v)}}(e.ctx,o,s,r,c,k),e.canvas}},\n function _(e,t,s,n,c){var a;n();const i=e(14),r=e(8),l=e(13),o=e(26),_=e(19);class h extends i.HasProps{constructor(e){super(e)}get is_syncable(){return this.syncable}[o.equals](e,t){return t.eq(this.id,e.id)&&super[o.equals](e,t)}initialize(){super.initialize(),this._js_callbacks=new Map}connect_signals(){super.connect_signals(),this._update_property_callbacks(),this.connect(this.properties.js_property_callbacks.change,(()=>this._update_property_callbacks())),this.connect(this.properties.js_event_callbacks.change,(()=>this._update_event_callbacks())),this.connect(this.properties.subscribed_events.change,(()=>this._update_event_callbacks()))}_process_event(e){var t;for(const s of null!==(t=this.js_event_callbacks[e.event_name])&&void 0!==t?t:[])s.execute(e);null!=this.document&&this.subscribed_events.some((t=>t==e.event_name))&&this.document.event_manager.send_event(e)}trigger_event(e){null!=this.document&&(e.origin=this,this.document.event_manager.trigger(e))}_update_event_callbacks(){null!=this.document?this.document.event_manager.subscribed_models.add(this):_.logger.warn(\"WARNING: Document not defined for updating event callbacks\")}_update_property_callbacks(){const e=e=>{const[t,s=null]=e.split(\":\");return null!=s?this.properties[s][t]:this[t]};for(const[t,s]of this._js_callbacks){const n=e(t);for(const e of s)this.disconnect(n,e)}this._js_callbacks.clear();for(const[t,s]of(0,l.entries)(this.js_property_callbacks)){const n=s.map((e=>()=>e.execute(this)));this._js_callbacks.set(t,n);const c=e(t);for(const e of n)this.connect(c,e)}}_doc_attached(){(0,l.isEmpty)(this.js_event_callbacks)&&0==this.subscribed_events.length||this._update_event_callbacks()}_doc_detached(){this.document.event_manager.subscribed_models.delete(this)}select(e){if((0,r.isString)(e))return[...this.references()].filter((t=>t instanceof h&&t.name===e));if(e.prototype instanceof i.HasProps)return[...this.references()].filter((t=>t instanceof e));throw new Error(\"invalid selector\")}select_one(e){const t=this.select(e);switch(t.length){case 0:return null;case 1:return t[0];default:throw new Error(\"found more than one object matching given selector\")}}}s.Model=h,a=h,h.__name__=\"Model\",a.define((({Any:e,Unknown:t,Boolean:s,String:n,Array:c,Dict:a,Nullable:i})=>({tags:[c(t),[]],name:[i(n),null],js_property_callbacks:[a(c(e)),{}],js_event_callbacks:[a(c(e)),{}],subscribed_events:[c(n),[]],syncable:[s,!0]})))},\n function _(e,t,s,a,r){var c,n;a();const _=e(12),o=e(53),i=e(55),l=e(59),u=e(61),g=e(62),h=e(57),p=e(63),m=e(67);class x{constructor(e,t){this.x_scale=e,this.y_scale=t,this.x_source=this.x_scale.source_range,this.y_source=this.y_scale.source_range,this.ranges=[this.x_source,this.y_source],this.scales=[this.x_scale,this.y_scale]}map_to_screen(e,t){return[this.x_scale.v_compute(e),this.y_scale.v_compute(t)]}map_from_screen(e,t){return[this.x_scale.v_invert(e),this.y_scale.v_invert(t)]}}s.CoordinateTransform=x,x.__name__=\"CoordinateTransform\";class y extends o.Model{constructor(e){super(e)}get x_ranges(){return new Map([[\"default\",this.x_source]])}get y_ranges(){return new Map([[\"default\",this.y_source]])}_get_scale(e,t,s){if(e instanceof m.FactorRange!=t instanceof g.CategoricalScale)throw new Error(`Range ${e.type} is incompatible is Scale ${t.type}`);t instanceof u.LogScale&&e instanceof p.DataRange1d&&(e.scale_hint=\"log\");const a=t.clone();return a.setv({source_range:e,target_range:s}),a}get_transform(e){const{x_source:t,x_scale:s,x_target:a}=this,r=this._get_scale(t,s,a),{y_source:c,y_scale:n,y_target:_}=this,o=this._get_scale(c,n,_),i=new v({source_scale:r,source_range:r.source_range,target_scale:e.x_scale,target_range:e.x_target}),l=new v({source_scale:o,source_range:o.source_range,target_scale:e.y_scale,target_range:e.y_target});return new x(i,l)}}s.CoordinateMapping=y,c=y,y.__name__=\"CoordinateMapping\",c.define((({Ref:e})=>({x_source:[e(h.Range),()=>new p.DataRange1d],y_source:[e(h.Range),()=>new p.DataRange1d],x_scale:[e(i.Scale),()=>new l.LinearScale],y_scale:[e(i.Scale),()=>new l.LinearScale],x_target:[e(h.Range)],y_target:[e(h.Range)]})));class v extends i.Scale{constructor(e){super(e)}get s_compute(){const e=this.source_scale.s_compute,t=this.target_scale.s_compute;return s=>t(e(s))}get s_invert(){const e=this.source_scale.s_invert,t=this.target_scale.s_invert;return s=>e(t(s))}compute(e){return this.s_compute(e)}v_compute(e){const{s_compute:t}=this;return(0,_.map)(e,t)}invert(e){return this.s_invert(e)}v_invert(e){const{s_invert:t}=this;return(0,_.map)(e,t)}}s.CompositeScale=v,n=v,v.__name__=\"CompositeScale\",n.internal((({Ref:e})=>({source_scale:[e(i.Scale)],target_scale:[e(i.Scale)]})))},\n function _(e,t,r,n,s){var _;n();const a=e(56),c=e(57),o=e(58),i=e(24);class u extends a.Transform{constructor(e){super(e)}compute(e){return this.s_compute(e)}v_compute(e){const t=new i.ScreenArray(e.length),{s_compute:r}=this;for(let n=0;n({source_range:[e(c.Range)],target_range:[e(o.Range1d)]})))},\n function _(n,s,o,r,c){r();const e=n(53);class t extends e.Model{constructor(n){super(n)}}o.Transform=t,t.__name__=\"Transform\"},\n function _(e,t,n,i,s){var r;i();const a=e(53);class l extends a.Model{constructor(e){super(e),this.have_updated_interactively=!1}get is_reversed(){return this.start>this.end}get is_valid(){return isFinite(this.min)&&isFinite(this.max)}get span(){return Math.abs(this.end-this.start)}}n.Range=l,r=l,l.__name__=\"Range\",r.define((({Number:e,Tuple:t,Or:n,Auto:i,Nullable:s})=>({bounds:[s(n(t(s(e),s(e)),i)),null],min_interval:[s(e),null],max_interval:[s(e),null]}))),r.internal((({Array:e,AnyRef:t})=>({plots:[e(t()),[]]})))},\n function _(t,e,s,n,r){var a;n();const i=t(57);class _ extends i.Range{constructor(t){super(t)}_set_auto_bounds(){if(\"auto\"==this.bounds){const t=Math.min(this._reset_start,this._reset_end),e=Math.max(this._reset_start,this._reset_end);this.setv({bounds:[t,e]},{silent:!0})}}initialize(){super.initialize(),this._set_auto_bounds()}get min(){return Math.min(this.start,this.end)}get max(){return Math.max(this.start,this.end)}reset(){this._set_auto_bounds();const{_reset_start:t,_reset_end:e}=this;this.start!=t||this.end!=e?this.setv({start:t,end:e}):this.change.emit()}map(t){return new _({start:t(this.start),end:t(this.end)})}widen(t){let{start:e,end:s}=this;return this.is_reversed?(e+=t,s-=t):(e-=t,s+=t),new _({start:e,end:s})}}s.Range1d=_,a=_,_.__name__=\"Range1d\",a.define((({Number:t,Nullable:e})=>({start:[t,0],end:[t,1],reset_start:[e(t),null,{on_update(t,e){e._reset_start=null!=t?t:e.start}}],reset_end:[e(t),null,{on_update(t,e){e._reset_end=null!=t?t:e.end}}]})))},\n function _(t,e,n,r,s){r();const a=t(60);class _ extends a.ContinuousScale{constructor(t){super(t)}get s_compute(){const[t,e]=this._linear_compute_state();return n=>t*n+e}get s_invert(){const[t,e]=this._linear_compute_state();return n=>(n-e)/t}_linear_compute_state(){const t=this.source_range.start,e=this.source_range.end,n=this.target_range.start,r=(this.target_range.end-n)/(e-t);return[r,-r*t+n]}}n.LinearScale=_,_.__name__=\"LinearScale\"},\n function _(n,c,o,s,e){s();const t=n(55);class u extends t.Scale{constructor(n){super(n)}}o.ContinuousScale=u,u.__name__=\"ContinuousScale\"},\n function _(t,e,a,o,s){o();const r=t(60);class n extends r.ContinuousScale{constructor(t){super(t)}get s_compute(){const[t,e,a,o]=this._compute_state();return s=>{if(0==a)return 0;{const r=(Math.log(s)-o)/a;return isFinite(r)?r*t+e:NaN}}}get s_invert(){const[t,e,a,o]=this._compute_state();return s=>{const r=(s-e)/t;return Math.exp(a*r+o)}}_get_safe_factor(t,e){let a=t<0?0:t,o=e<0?0:e;if(a==o)if(0==a)[a,o]=[1,10];else{const t=Math.log(a)/Math.log(10);a=10**Math.floor(t),o=Math.ceil(t)!=Math.floor(t)?10**Math.ceil(t):10**(Math.ceil(t)+1)}return[a,o]}_compute_state(){const t=this.source_range.start,e=this.source_range.end,a=this.target_range.start,o=this.target_range.end-a,[s,r]=this._get_safe_factor(t,e);let n,c;0==s?(n=Math.log(r),c=0):(n=Math.log(r)-Math.log(s),c=Math.log(s));return[o,a,n,c]}}a.LogScale=n,n.__name__=\"LogScale\"},\n function _(t,e,c,a,s){a();const n=t(55),r=t(59),{_linear_compute_state:o}=r.LinearScale.prototype;class l extends n.Scale{constructor(t){super(t)}get s_compute(){const[t,e]=o.call(this),c=this.source_range;return a=>t*c.synthetic(a)+e}get s_invert(){const[t,e]=o.call(this);return c=>(c-e)/t}}c.CategoricalScale=l,l.__name__=\"CategoricalScale\"},\n function _(t,i,n,e,a){e();const s=t(1);var l;const _=t(64),o=t(20),r=t(9),h=t(19),d=(0,s.__importStar)(t(65)),u=t(66);class g extends _.DataRange{constructor(t){super(t),this.have_updated_interactively=!1}initialize(){super.initialize(),this._initial_start=this.start,this._initial_end=this.end,this._initial_range_padding=this.range_padding,this._initial_range_padding_units=this.range_padding_units,this._initial_follow=this.follow,this._initial_follow_interval=this.follow_interval,this._initial_default_span=this.default_span,this._plot_bounds=new Map}get min(){return Math.min(this.start,this.end)}get max(){return Math.max(this.start,this.end)}computed_renderers(){const{renderers:t,names:i}=this,n=(0,r.concat)(this.plots.map((t=>t.data_renderers)));return(0,u.compute_renderers)(0==t.length?\"auto\":t,n,i)}_compute_plot_bounds(t,i){let n=d.empty();for(const e of t){const t=i.get(e);null==t||!e.visible&&this.only_visible||(n=d.union(n,t))}return n}adjust_bounds_for_aspect(t,i){const n=d.empty();let e=t.x1-t.x0;e<=0&&(e=1);let a=t.y1-t.y0;a<=0&&(a=1);const s=.5*(t.x1+t.x0),l=.5*(t.y1+t.y0);return el&&(\"start\"==this.follow?a=e+s*l:\"end\"==this.follow&&(e=a-s*l)),[e,a]}update(t,i,n,e){if(this.have_updated_interactively)return;const a=this.computed_renderers();let s=this._compute_plot_bounds(a,t);null!=e&&(s=this.adjust_bounds_for_aspect(s,e)),this._plot_bounds.set(n,s);const[l,_]=this._compute_min_max(this._plot_bounds.entries(),i);let[o,r]=this._compute_range(l,_);null!=this._initial_start&&(\"log\"==this.scale_hint?this._initial_start>0&&(o=this._initial_start):o=this._initial_start),null!=this._initial_end&&(\"log\"==this.scale_hint?this._initial_end>0&&(r=this._initial_end):r=this._initial_end);let h=!1;\"auto\"==this.bounds&&(this.setv({bounds:[o,r]},{silent:!0}),h=!0);const[d,u]=[this.start,this.end];if(o!=d||r!=u){const t={};o!=d&&(t.start=o),r!=u&&(t.end=r),this.setv(t),h=!1}h&&this.change.emit()}reset(){this.have_updated_interactively=!1,this.setv({range_padding:this._initial_range_padding,range_padding_units:this._initial_range_padding_units,follow:this._initial_follow,follow_interval:this._initial_follow_interval,default_span:this._initial_default_span},{silent:!0}),this.change.emit()}}n.DataRange1d=g,l=g,g.__name__=\"DataRange1d\",l.define((({Boolean:t,Number:i,Nullable:n})=>({start:[i],end:[i],range_padding:[i,.1],range_padding_units:[o.PaddingUnits,\"percent\"],flipped:[t,!1],follow:[n(o.StartEnd),null],follow_interval:[n(i),null],default_span:[i,2],only_visible:[t,!1]}))),l.internal((({Enum:t})=>({scale_hint:[t(\"log\",\"auto\"),\"auto\"]})))},\n function _(e,n,a,r,s){var t;r();const c=e(57);class _ extends c.Range{constructor(e){super(e)}}a.DataRange=_,t=_,_.__name__=\"DataRange\",t.define((({String:e,Array:n,AnyRef:a})=>({names:[n(e),[]],renderers:[n(a()),[]]})))},\n function _(t,i,e,h,r){h();const s=t(24),n=t(26),{min:x,max:y}=Math;e.empty=function(){return{x0:1/0,y0:1/0,x1:-1/0,y1:-1/0}},e.positive_x=function(){return{x0:Number.MIN_VALUE,y0:-1/0,x1:1/0,y1:1/0}},e.positive_y=function(){return{x0:-1/0,y0:Number.MIN_VALUE,x1:1/0,y1:1/0}},e.union=function(t,i){return{x0:x(t.x0,i.x0),x1:y(t.x1,i.x1),y0:x(t.y0,i.y0),y1:y(t.y1,i.y1)}};class o{constructor(t){if(null==t)this.x0=0,this.y0=0,this.x1=0,this.y1=0;else if(\"x0\"in t){const{x0:i,y0:e,x1:h,y1:r}=t;if(!(i<=h&&e<=r))throw new Error(`invalid bbox {x0: ${i}, y0: ${e}, x1: ${h}, y1: ${r}}`);this.x0=i,this.y0=e,this.x1=h,this.y1=r}else if(\"x\"in t){const{x:i,y:e,width:h,height:r}=t;if(!(h>=0&&r>=0))throw new Error(`invalid bbox {x: ${i}, y: ${e}, width: ${h}, height: ${r}}`);this.x0=i,this.y0=e,this.x1=i+h,this.y1=e+r}else{let i,e,h,r;if(\"width\"in t)if(\"left\"in t)i=t.left,e=i+t.width;else if(\"right\"in t)e=t.right,i=e-t.width;else{const h=t.width/2;i=t.hcenter-h,e=t.hcenter+h}else i=t.left,e=t.right;if(\"height\"in t)if(\"top\"in t)h=t.top,r=h+t.height;else if(\"bottom\"in t)r=t.bottom,h=r-t.height;else{const i=t.height/2;h=t.vcenter-i,r=t.vcenter+i}else h=t.top,r=t.bottom;if(!(i<=e&&h<=r))throw new Error(`invalid bbox {left: ${i}, top: ${h}, right: ${e}, bottom: ${r}}`);this.x0=i,this.y0=h,this.x1=e,this.y1=r}}static from_rect({left:t,right:i,top:e,bottom:h}){return new o({x0:Math.min(t,i),y0:Math.min(e,h),x1:Math.max(t,i),y1:Math.max(e,h)})}equals(t){return this.x0==t.x0&&this.y0==t.y0&&this.x1==t.x1&&this.y1==t.y1}[n.equals](t,i){return i.eq(this.x0,t.x0)&&i.eq(this.y0,t.y0)&&i.eq(this.x1,t.x1)&&i.eq(this.y1,t.y1)}toString(){return`BBox({left: ${this.left}, top: ${this.top}, width: ${this.width}, height: ${this.height}})`}get left(){return this.x0}get top(){return this.y0}get right(){return this.x1}get bottom(){return this.y1}get p0(){return[this.x0,this.y0]}get p1(){return[this.x1,this.y1]}get x(){return this.x0}get y(){return this.y0}get width(){return this.x1-this.x0}get height(){return this.y1-this.y0}get size(){return{width:this.width,height:this.height}}get rect(){const{x0:t,y0:i,x1:e,y1:h}=this;return{p0:{x:t,y:i},p1:{x:e,y:i},p2:{x:e,y:h},p3:{x:t,y:h}}}get box(){const{x:t,y:i,width:e,height:h}=this;return{x:t,y:i,width:e,height:h}}get h_range(){return{start:this.x0,end:this.x1}}get v_range(){return{start:this.y0,end:this.y1}}get ranges(){return[this.h_range,this.v_range]}get aspect(){return this.width/this.height}get hcenter(){return(this.left+this.right)/2}get vcenter(){return(this.top+this.bottom)/2}get area(){return this.width*this.height}relative(){const{width:t,height:i}=this;return new o({x:0,y:0,width:t,height:i})}translate(t,i){const{x:e,y:h,width:r,height:s}=this;return new o({x:t+e,y:i+h,width:r,height:s})}relativize(t,i){return[t-this.x,i-this.y]}contains(t,i){return this.x0<=t&&t<=this.x1&&this.y0<=i&&i<=this.y1}clip(t,i){return tthis.x1&&(t=this.x1),ithis.y1&&(i=this.y1),[t,i]}grow_by(t){return new o({left:this.left-t,right:this.right+t,top:this.top-t,bottom:this.bottom+t})}shrink_by(t){return new o({left:this.left+t,right:this.right-t,top:this.top+t,bottom:this.bottom-t})}union(t){return new o({x0:x(this.x0,t.x0),y0:x(this.y0,t.y0),x1:y(this.x1,t.x1),y1:y(this.y1,t.y1)})}intersection(t){return this.intersects(t)?new o({x0:y(this.x0,t.x0),y0:y(this.y0,t.y0),x1:x(this.x1,t.x1),y1:x(this.y1,t.y1)}):null}intersects(t){return!(t.x1this.x1||t.y1this.y1)}get xview(){return{compute:t=>this.left+t,v_compute:t=>{const i=new s.ScreenArray(t.length),e=this.left;for(let h=0;hthis.bottom-t,v_compute:t=>{const i=new s.ScreenArray(t.length),e=this.bottom;for(let h=0;h0&&(r=r.filter((n=>(0,l.includes)(t,n.name)))),r}},\n function _(t,n,e,i,s){var r;i();const a=t(57),o=t(20),g=t(21),p=t(24),c=t(9),l=t(8),u=t(11);function h(t,n,e=0){const i=new Map;for(let s=0;sa.get(t).value)));r.set(t,{value:l/s,mapping:a}),o+=s+n+p}return[r,(a.size-1)*n+g]}function _(t,n,e,i,s=0){var r;const a=new Map,o=new Map;for(const[n,e,i]of t){const t=null!==(r=o.get(n))&&void 0!==r?r:[];o.set(n,[...t,[e,i]])}let g=s,p=0;for(const[t,s]of o){const r=s.length,[o,l]=d(s,e,i,g);p+=l;const u=(0,c.sum)(s.map((([t])=>o.get(t).value)));a.set(t,{value:u/r,mapping:o}),g+=r+n+l}return[a,(o.size-1)*n+p]}e.Factor=(0,g.Or)(g.String,(0,g.Tuple)(g.String,g.String),(0,g.Tuple)(g.String,g.String,g.String)),e.FactorSeq=(0,g.Or)((0,g.Array)(g.String),(0,g.Array)((0,g.Tuple)(g.String,g.String)),(0,g.Array)((0,g.Tuple)(g.String,g.String,g.String))),e.map_one_level=h,e.map_two_levels=d,e.map_three_levels=_;class f extends a.Range{constructor(t){super(t)}get min(){return this.start}get max(){return this.end}initialize(){super.initialize(),this._init(!0)}connect_signals(){super.connect_signals(),this.connect(this.properties.factors.change,(()=>this.reset())),this.connect(this.properties.factor_padding.change,(()=>this.reset())),this.connect(this.properties.group_padding.change,(()=>this.reset())),this.connect(this.properties.subgroup_padding.change,(()=>this.reset())),this.connect(this.properties.range_padding.change,(()=>this.reset())),this.connect(this.properties.range_padding_units.change,(()=>this.reset()))}reset(){this._init(!1),this.change.emit()}_lookup(t){switch(t.length){case 1:{const[n]=t,e=this._mapping.get(n);return null!=e?e.value:NaN}case 2:{const[n,e]=t,i=this._mapping.get(n);if(null!=i){const t=i.mapping.get(e);if(null!=t)return t.value}return NaN}case 3:{const[n,e,i]=t,s=this._mapping.get(n);if(null!=s){const t=s.mapping.get(e);if(null!=t){const n=t.mapping.get(i);if(null!=n)return n.value}}return NaN}default:(0,u.unreachable)()}}synthetic(t){if((0,l.isNumber)(t))return t;if((0,l.isString)(t))return this._lookup([t]);let n=0;const e=t[t.length-1];return(0,l.isNumber)(e)&&(n=e,t=t.slice(0,-1)),this._lookup(t)+n}v_synthetic(t){const n=t.length,e=new p.ScreenArray(n);for(let i=0;i{if((0,c.every)(this.factors,l.isString)){const t=this.factors,[n,e]=h(t,this.factor_padding);return{levels:1,mapping:n,tops:null,mids:null,inside_padding:e}}if((0,c.every)(this.factors,(t=>(0,l.isArray)(t)&&2==t.length&&(0,l.isString)(t[0])&&(0,l.isString)(t[1])))){const t=this.factors,[n,e]=d(t,this.group_padding,this.factor_padding),i=[...n.keys()];return{levels:2,mapping:n,tops:i,mids:null,inside_padding:e}}if((0,c.every)(this.factors,(t=>(0,l.isArray)(t)&&3==t.length&&(0,l.isString)(t[0])&&(0,l.isString)(t[1])&&(0,l.isString)(t[2])))){const t=this.factors,[n,e]=_(t,this.group_padding,this.subgroup_padding,this.factor_padding),i=[...n.keys()],s=[];for(const[t,e]of n)for(const n of e.mapping.keys())s.push([t,n]);return{levels:3,mapping:n,tops:i,mids:s,inside_padding:e}}(0,u.unreachable)()})();this._mapping=e,this.tops=i,this.mids=s;let a=0,o=this.factors.length+r;if(\"percent\"==this.range_padding_units){const t=(o-a)*this.range_padding/2;a-=t,o+=t}else a-=this.range_padding,o+=this.range_padding;this.setv({start:a,end:o,levels:n},{silent:t}),\"auto\"==this.bounds&&this.setv({bounds:[a,o]},{silent:!0})}}e.FactorRange=f,r=f,f.__name__=\"FactorRange\",r.define((({Number:t})=>({factors:[e.FactorSeq,[]],factor_padding:[t,0],subgroup_padding:[t,.8],group_padding:[t,1.4],range_padding:[t,0],range_padding_units:[o.PaddingUnits,\"percent\"],start:[t],end:[t]}))),r.internal((({Number:t,String:n,Array:e,Tuple:i,Nullable:s})=>({levels:[t],mids:[s(e(i(n,n))),null],tops:[s(e(n)),null]})))},\n function _(t,e,s,a,i){a();const n=t(1);var _;const r=t(69),o=t(112),l=t(48),d=t(20),h=t(24),c=t(113),u=(0,n.__importStar)(t(18)),v=t(10);class p extends r.DataAnnotationView{async lazy_initialize(){await super.lazy_initialize();const{start:t,end:e}=this.model;null!=t&&(this.start=await(0,c.build_view)(t,{parent:this})),null!=e&&(this.end=await(0,c.build_view)(e,{parent:this}))}set_data(t){var e,s;super.set_data(t),null===(e=this.start)||void 0===e||e.set_data(t),null===(s=this.end)||void 0===s||s.set_data(t)}remove(){var t,e;null===(t=this.start)||void 0===t||t.remove(),null===(e=this.end)||void 0===e||e.remove(),super.remove()}map_data(){const{frame:t}=this.plot_view;\"data\"==this.model.start_units?(this._sx_start=this.coordinates.x_scale.v_compute(this._x_start),this._sy_start=this.coordinates.y_scale.v_compute(this._y_start)):(this._sx_start=t.bbox.xview.v_compute(this._x_start),this._sy_start=t.bbox.yview.v_compute(this._y_start)),\"data\"==this.model.end_units?(this._sx_end=this.coordinates.x_scale.v_compute(this._x_end),this._sy_end=this.coordinates.y_scale.v_compute(this._y_end)):(this._sx_end=t.bbox.xview.v_compute(this._x_end),this._sy_end=t.bbox.yview.v_compute(this._y_end));const{_sx_start:e,_sy_start:s,_sx_end:a,_sy_end:i}=this,n=e.length,_=this._angles=new h.ScreenArray(n);for(let t=0;t({x_start:[u.XCoordinateSpec,{field:\"x_start\"}],y_start:[u.YCoordinateSpec,{field:\"y_start\"}],start_units:[d.SpatialUnits,\"data\"],start:[e(t(o.ArrowHead)),null],x_end:[u.XCoordinateSpec,{field:\"x_end\"}],y_end:[u.YCoordinateSpec,{field:\"y_end\"}],end_units:[d.SpatialUnits,\"data\"],end:[e(t(o.ArrowHead)),()=>new o.OpenHead]})))},\n function _(t,e,n,s,a){s();const o=t(1);var i;const c=t(40),r=t(70),_=t(75),l=t(78),h=(0,o.__importStar)(t(18));class d extends c.AnnotationView{constructor(){super(...arguments),this._initial_set_data=!1}connect_signals(){super.connect_signals();const t=()=>{this.set_data(this.model.source),this._rerender()};this.connect(this.model.change,t),this.connect(this.model.source.streaming,t),this.connect(this.model.source.patching,t),this.connect(this.model.source.change,t)}_rerender(){this.request_render()}set_data(t){const e=this;for(const n of this.model)if(n instanceof h.VectorSpec||n instanceof h.ScalarSpec)if(n instanceof h.BaseCoordinateSpec){const s=n.array(t);e[`_${n.attr}`]=s}else{const s=n.uniform(t);e[`${n.attr}`]=s}this.plot_model.use_map&&(null!=e._x&&l.inplace.project_xy(e._x,e._y),null!=e._xs&&l.inplace.project_xsys(e._xs,e._ys));for(const t of this.visuals)t.update()}_render(){this._initial_set_data||(this.set_data(this.model.source),this._initial_set_data=!0),this.map_data(),this.paint(this.layer.ctx)}}n.DataAnnotationView=d,d.__name__=\"DataAnnotationView\";class u extends c.Annotation{constructor(t){super(t)}}n.DataAnnotation=u,i=u,u.__name__=\"DataAnnotation\",i.define((({Ref:t})=>({source:[t(r.ColumnarDataSource),()=>new _.ColumnDataSource]})))},\n function _(t,e,n,s,a){var i;s();const r=t(71),l=t(15),c=t(19),o=t(73),h=t(8),u=t(9),g=t(13),d=t(72),_=t(74),m=t(29);class w extends r.DataSource{constructor(t){super(t),this.selection_manager=new o.SelectionManager(this)}get_array(t){let e=this.data[t];return null==e?this.data[t]=e=[]:(0,h.isArray)(e)||(this.data[t]=e=Array.from(e)),e}initialize(){super.initialize(),this._select=new l.Signal0(this,\"select\"),this.inspect=new l.Signal(this,\"inspect\"),this.streaming=new l.Signal0(this,\"streaming\"),this.patching=new l.Signal(this,\"patching\")}get_column(t){const e=this.data[t];return null!=e?e:null}columns(){return(0,g.keys)(this.data)}get_length(t=!0){const e=(0,u.uniq)((0,g.values)(this.data).map((t=>(0,m.is_NDArray)(t)?t.shape[0]:t.length)));switch(e.length){case 0:return null;case 1:return e[0];default:{const n=\"data source has columns of inconsistent lengths\";if(t)return c.logger.warn(n),e.sort()[0];throw new Error(n)}}}get length(){var t;return null!==(t=this.get_length())&&void 0!==t?t:0}clear(){const t={};for(const e of this.columns())t[e]=new this.data[e].constructor(0);this.data=t}}n.ColumnarDataSource=w,i=w,w.__name__=\"ColumnarDataSource\",i.define((({Ref:t})=>({selection_policy:[t(_.SelectionPolicy),()=>new _.UnionRenderers]}))),i.internal((({AnyRef:t})=>({inspected:[t(),()=>new d.Selection]})))},\n function _(e,c,n,t,o){var a;t();const s=e(53),r=e(72);class l extends s.Model{constructor(e){super(e)}}n.DataSource=l,a=l,l.__name__=\"DataSource\",a.define((({Ref:e})=>({selected:[e(r.Selection),()=>new r.Selection]})))},\n function _(i,e,s,t,n){var l;t();const c=i(53),d=i(9),h=i(13);class _ extends c.Model{constructor(i){super(i)}get_view(){return this.view}get selected_glyph(){return this.selected_glyphs.length>0?this.selected_glyphs[0]:null}add_to_selected_glyphs(i){this.selected_glyphs.push(i)}update(i,e=!0,s=\"replace\"){switch(s){case\"replace\":this.indices=i.indices,this.line_indices=i.line_indices,this.multiline_indices=i.multiline_indices,this.image_indices=i.image_indices,this.view=i.view,this.selected_glyphs=i.selected_glyphs;break;case\"append\":this.update_through_union(i);break;case\"intersect\":this.update_through_intersection(i);break;case\"subtract\":this.update_through_subtraction(i)}}clear(){this.indices=[],this.line_indices=[],this.multiline_indices={},this.image_indices=[],this.view=null,this.selected_glyphs=[]}map(i){return new _(Object.assign(Object.assign({},this.attributes),{indices:this.indices.map(i),multiline_indices:(0,h.to_object)((0,h.entries)(this.multiline_indices).map((([e,s])=>[i(Number(e)),s]))),image_indices:this.image_indices.map((e=>Object.assign(Object.assign({},e),{index:i(e.index)})))}))}is_empty(){return 0==this.indices.length&&0==this.line_indices.length&&0==this.image_indices.length}update_through_union(i){this.indices=(0,d.union)(this.indices,i.indices),this.selected_glyphs=(0,d.union)(i.selected_glyphs,this.selected_glyphs),this.line_indices=(0,d.union)(i.line_indices,this.line_indices),this.view=i.view,this.multiline_indices=(0,h.merge)(i.multiline_indices,this.multiline_indices)}update_through_intersection(i){this.indices=(0,d.intersection)(this.indices,i.indices),this.selected_glyphs=(0,d.union)(i.selected_glyphs,this.selected_glyphs),this.line_indices=(0,d.union)(i.line_indices,this.line_indices),this.view=i.view,this.multiline_indices=(0,h.merge)(i.multiline_indices,this.multiline_indices)}update_through_subtraction(i){this.indices=(0,d.difference)(this.indices,i.indices),this.selected_glyphs=(0,d.union)(i.selected_glyphs,this.selected_glyphs),this.line_indices=(0,d.union)(i.line_indices,this.line_indices),this.view=i.view,this.multiline_indices=(0,h.merge)(i.multiline_indices,this.multiline_indices)}}s.Selection=_,l=_,_.__name__=\"Selection\",l.define((({Int:i,Array:e,Dict:s})=>({indices:[e(i),[]],line_indices:[e(i),[]],multiline_indices:[s(e(i)),{}]}))),l.internal((({Int:i,Array:e,AnyRef:s,Struct:t,Nullable:n})=>({selected_glyphs:[e(s()),[]],view:[n(s()),null],image_indices:[e(t({index:i,dim1:i,dim2:i,flat_index:i})),[]]})))},\n function _(e,t,o,s,c){s();const n=e(72);function i(e){return\"GlyphRenderer\"==e.model.type}function l(e){return\"GraphRenderer\"==e.model.type}class r{constructor(e){this.source=e,this.inspectors=new Map}select(e,t,o,s=\"replace\"){const c=[],n=[];for(const t of e)i(t)?c.push(t):l(t)&&n.push(t);let r=!1;for(const e of n){const c=e.model.selection_policy.hit_test(t,e);r=r||e.model.selection_policy.do_selection(c,e.model,o,s)}if(c.length>0){const e=this.source.selection_policy.hit_test(t,c);r=r||this.source.selection_policy.do_selection(e,this.source,o,s)}return r}inspect(e,t){let o=!1;if(i(e)){const s=e.hit_test(t);if(null!=s){o=!s.is_empty();const c=this.get_or_create_inspector(e.model);c.update(s,!0,\"replace\"),this.source.setv({inspected:c},{silent:!0}),this.source.inspect.emit([e.model,{geometry:t}])}}else if(l(e)){const s=e.model.inspection_policy.hit_test(t,e);o=o||e.model.inspection_policy.do_inspection(s,t,e,!1,\"replace\")}return o}clear(e){this.source.selected.clear(),null!=e&&this.get_or_create_inspector(e.model).clear()}get_or_create_inspector(e){let t=this.inspectors.get(e);return null==t&&(t=new n.Selection,this.inspectors.set(e,t)),t}}o.SelectionManager=r,r.__name__=\"SelectionManager\"},\n function _(e,t,n,s,o){s();const r=e(53);class c extends r.Model{do_selection(e,t,n,s){return null!=e&&(t.selected.update(e,n,s),t._select.emit(),!t.selected.is_empty())}}n.SelectionPolicy=c,c.__name__=\"SelectionPolicy\";class l extends c{hit_test(e,t){const n=[];for(const s of t){const t=s.hit_test(e);null!=t&&n.push(t)}if(n.length>0){const e=n[0];for(const t of n)e.update_through_intersection(t);return e}return null}}n.IntersectRenderers=l,l.__name__=\"IntersectRenderers\";class _ extends c{hit_test(e,t){const n=[];for(const s of t){const t=s.hit_test(e);null!=t&&n.push(t)}if(n.length>0){const e=n[0];for(const t of n)e.update_through_union(t);return e}return null}}n.UnionRenderers=_,_.__name__=\"UnionRenderers\"},\n function _(t,n,e,s,o){s();const r=t(1);var l;const c=t(70),i=t(8),a=t(13),u=(0,r.__importStar)(t(76)),h=t(77),d=t(35);function f(t,n,e){if((0,i.isArray)(t)){const s=t.concat(n);return null!=e&&s.length>e?s.slice(-e):s}if((0,i.isTypedArray)(t)){const s=t.length+n.length;if(null!=e&&s>e){const o=s-e,r=t.length;let l;t.length({data:[t(n),{}]})))},\n function _(t,n,o,e,c){e(),o.concat=function(t,...n){let o=t.length;for(const t of n)o+=t.length;const e=new t.constructor(o);e.set(t,0);let c=t.length;for(const t of n)e.set(t,c),c+=t.length;return e}},\n function _(n,o,t,e,f){function c(...n){const o=new Set;for(const t of n)for(const n of t)o.add(n);return o}e(),t.union=c,t.intersection=function(n,...o){const t=new Set;n:for(const e of n){for(const n of o)if(!n.has(e))continue n;t.add(e)}return t},t.difference=function(n,...o){const t=new Set(n);for(const n of c(...o))t.delete(n);return t}},\n function _(n,t,e,o,r){o();const c=n(1),l=(0,c.__importDefault)(n(79)),i=(0,c.__importDefault)(n(80)),u=n(24),a=new i.default(\"GOOGLE\"),s=new i.default(\"WGS84\"),f=(0,l.default)(s,a);e.wgs84_mercator={compute:(n,t)=>isFinite(n)&&isFinite(t)?f.forward([n,t]):[NaN,NaN],invert:(n,t)=>isFinite(n)&&isFinite(t)?f.inverse([n,t]):[NaN,NaN]};const _={lon:[-20026376.39,20026376.39],lat:[-20048966.1,20048966.1]},p={lon:[-180,180],lat:[-85.06,85.06]},{min:g,max:h}=Math;function m(n,t){const o=g(n.length,t.length),r=(0,u.infer_type)(n,t),c=new r(o),l=new r(o);return e.inplace.project_xy(n,t,c,l),[c,l]}e.clip_mercator=function(n,t,e){const[o,r]=_[e];return[h(n,o),g(t,r)]},e.in_bounds=function(n,t){const[e,o]=p[t];return e2?void 0!==e.name&&\"geocent\"===e.name||void 0!==n.name&&\"geocent\"===n.name?\"number\"==typeof o.z?[o.x,o.y,o.z].concat(t.splice(3)):[o.x,o.y,t[2]].concat(t.splice(3)):[o.x,o.y].concat(t.splice(2)):[o.x,o.y]):(a=(0,c.default)(e,n,t,r),2===(i=Object.keys(t)).length||i.forEach((function(r){if(void 0!==e.name&&\"geocent\"===e.name||void 0!==n.name&&\"geocent\"===n.name){if(\"x\"===r||\"y\"===r||\"z\"===r)return}else if(\"x\"===r||\"y\"===r)return;a[r]=t[r]})),a)}function l(e){return e instanceof i.default?e:e.oProj?e.oProj:(0,i.default)(e)}t.default=function(e,n,t){e=l(e);var r,o=!1;return void 0===n?(n=e,e=u,o=!0):(void 0!==n.x||Array.isArray(n))&&(t=n,n=e,e=u,o=!0),n=l(n),t?f(e,n,t):(r={forward:function(t,r){return f(e,n,t,r)},inverse:function(t,r){return f(n,e,t,r)}},o&&(r.oProj=n),r)}},\n function _(t,e,a,s,i){s();const l=t(1),u=(0,l.__importDefault)(t(81)),r=(0,l.__importDefault)(t(92)),d=(0,l.__importDefault)(t(93)),o=t(101),f=(0,l.__importDefault)(t(103)),p=(0,l.__importDefault)(t(104)),m=(0,l.__importDefault)(t(88)),n=t(105);function h(t,e){if(!(this instanceof h))return new h(t);e=e||function(t){if(t)throw t};var a=(0,u.default)(t);if(\"object\"==typeof a){var s=h.projections.get(a.projName);if(s){if(a.datumCode&&\"none\"!==a.datumCode){var i=(0,m.default)(f.default,a.datumCode);i&&(a.datum_params=a.datum_params||(i.towgs84?i.towgs84.split(\",\"):null),a.ellps=i.ellipse,a.datumName=i.datumName?i.datumName:a.datumCode)}a.k0=a.k0||1,a.axis=a.axis||\"enu\",a.ellps=a.ellps||\"wgs84\",a.lat1=a.lat1||a.lat0;var l=(0,o.sphere)(a.a,a.b,a.rf,a.ellps,a.sphere),d=(0,o.eccentricity)(l.a,l.b,l.rf,a.R_A),_=(0,n.getNadgrids)(a.nadgrids),c=a.datum||(0,p.default)(a.datumCode,a.datum_params,l.a,l.b,d.es,d.ep2,_);(0,r.default)(this,a),(0,r.default)(this,s),this.a=l.a,this.b=l.b,this.rf=l.rf,this.sphere=l.sphere,this.es=d.es,this.e=d.e,this.ep2=d.ep2,this.datum=c,this.init(),e(null,this)}else e(t)}else e(t)}h.projections=d.default,h.projections.start(),a.default=h},\n function _(t,r,n,u,e){u();const f=t(1),i=(0,f.__importDefault)(t(82)),a=(0,f.__importDefault)(t(89)),o=(0,f.__importDefault)(t(84)),l=(0,f.__importDefault)(t(88));var C=[\"PROJECTEDCRS\",\"PROJCRS\",\"GEOGCS\",\"GEOCCS\",\"PROJCS\",\"LOCAL_CS\",\"GEODCRS\",\"GEODETICCRS\",\"GEODETICDATUM\",\"ENGCRS\",\"ENGINEERINGCRS\"];var d=[\"3857\",\"900913\",\"3785\",\"102113\"];n.default=function(t){if(!function(t){return\"string\"==typeof t}(t))return t;if(function(t){return t in i.default}(t))return i.default[t];if(function(t){return C.some((function(r){return t.indexOf(r)>-1}))}(t)){var r=(0,a.default)(t);if(function(t){var r=(0,l.default)(t,\"authority\");if(r){var n=(0,l.default)(r,\"epsg\");return n&&d.indexOf(n)>-1}}(r))return i.default[\"EPSG:3857\"];var n=function(t){var r=(0,l.default)(t,\"extension\");if(r)return(0,l.default)(r,\"proj4\")}(r);return n?(0,o.default)(n):r}return function(t){return\"+\"===t[0]}(t)?(0,o.default)(t):void 0}},\n function _(t,r,i,e,n){e();const f=t(1),a=(0,f.__importDefault)(t(83)),l=(0,f.__importDefault)(t(84)),u=(0,f.__importDefault)(t(89));function o(t){var r=this;if(2===arguments.length){var i=arguments[1];\"string\"==typeof i?\"+\"===i.charAt(0)?o[t]=(0,l.default)(arguments[1]):o[t]=(0,u.default)(arguments[1]):o[t]=i}else if(1===arguments.length){if(Array.isArray(t))return t.map((function(t){Array.isArray(t)?o.apply(r,t):o(t)}));if(\"string\"==typeof t){if(t in o)return o[t]}else\"EPSG\"in t?o[\"EPSG:\"+t.EPSG]=t:\"ESRI\"in t?o[\"ESRI:\"+t.ESRI]=t:\"IAU2000\"in t?o[\"IAU2000:\"+t.IAU2000]=t:console.log(t);return}}(0,a.default)(o),i.default=o},\n function _(t,l,G,S,e){S(),G.default=function(t){t(\"EPSG:4326\",\"+title=WGS 84 (long/lat) +proj=longlat +ellps=WGS84 +datum=WGS84 +units=degrees\"),t(\"EPSG:4269\",\"+title=NAD83 (long/lat) +proj=longlat +a=6378137.0 +b=6356752.31414036 +ellps=GRS80 +datum=NAD83 +units=degrees\"),t(\"EPSG:3857\",\"+title=WGS 84 / Pseudo-Mercator +proj=merc +a=6378137 +b=6378137 +lat_ts=0.0 +lon_0=0.0 +x_0=0.0 +y_0=0 +k=1.0 +units=m +nadgrids=@null +no_defs\"),t.WGS84=t[\"EPSG:4326\"],t[\"EPSG:3785\"]=t[\"EPSG:3857\"],t.GOOGLE=t[\"EPSG:3857\"],t[\"EPSG:900913\"]=t[\"EPSG:3857\"],t[\"EPSG:102113\"]=t[\"EPSG:3857\"]}},\n function _(t,n,o,a,u){a();const e=t(1),r=t(85),i=(0,e.__importDefault)(t(86)),f=(0,e.__importDefault)(t(87)),l=(0,e.__importDefault)(t(88));o.default=function(t){var n,o,a,u={},e=t.split(\"+\").map((function(t){return t.trim()})).filter((function(t){return t})).reduce((function(t,n){var o=n.split(\"=\");return o.push(!0),t[o[0].toLowerCase()]=o[1],t}),{}),c={proj:\"projName\",datum:\"datumCode\",rf:function(t){u.rf=parseFloat(t)},lat_0:function(t){u.lat0=t*r.D2R},lat_1:function(t){u.lat1=t*r.D2R},lat_2:function(t){u.lat2=t*r.D2R},lat_ts:function(t){u.lat_ts=t*r.D2R},lon_0:function(t){u.long0=t*r.D2R},lon_1:function(t){u.long1=t*r.D2R},lon_2:function(t){u.long2=t*r.D2R},alpha:function(t){u.alpha=parseFloat(t)*r.D2R},gamma:function(t){u.rectified_grid_angle=parseFloat(t)},lonc:function(t){u.longc=t*r.D2R},x_0:function(t){u.x0=parseFloat(t)},y_0:function(t){u.y0=parseFloat(t)},k_0:function(t){u.k0=parseFloat(t)},k:function(t){u.k0=parseFloat(t)},a:function(t){u.a=parseFloat(t)},b:function(t){u.b=parseFloat(t)},r_a:function(){u.R_A=!0},zone:function(t){u.zone=parseInt(t,10)},south:function(){u.utmSouth=!0},towgs84:function(t){u.datum_params=t.split(\",\").map((function(t){return parseFloat(t)}))},to_meter:function(t){u.to_meter=parseFloat(t)},units:function(t){u.units=t;var n=(0,l.default)(f.default,t);n&&(u.to_meter=n.to_meter)},from_greenwich:function(t){u.from_greenwich=t*r.D2R},pm:function(t){var n=(0,l.default)(i.default,t);u.from_greenwich=(n||parseFloat(t))*r.D2R},nadgrids:function(t){\"@null\"===t?u.datumCode=\"none\":u.nadgrids=t},axis:function(t){var n=\"ewnsud\";3===t.length&&-1!==n.indexOf(t.substr(0,1))&&-1!==n.indexOf(t.substr(1,1))&&-1!==n.indexOf(t.substr(2,1))&&(u.axis=t)},approx:function(){u.approx=!0}};for(n in e)o=e[n],n in c?\"function\"==typeof(a=c[n])?a(o):u[a]=o:u[n]=o;return\"string\"==typeof u.datumCode&&\"WGS84\"!==u.datumCode&&(u.datumCode=u.datumCode.toLowerCase()),u}},\n function _(S,_,P,R,I){R(),P.PJD_3PARAM=1,P.PJD_7PARAM=2,P.PJD_GRIDSHIFT=3,P.PJD_WGS84=4,P.PJD_NODATUM=5,P.SRS_WGS84_SEMIMAJOR=6378137,P.SRS_WGS84_SEMIMINOR=6356752.314,P.SRS_WGS84_ESQUARED=.0066943799901413165,P.SEC_TO_RAD=484813681109536e-20,P.HALF_PI=Math.PI/2,P.SIXTH=.16666666666666666,P.RA4=.04722222222222222,P.RA6=.022156084656084655,P.EPSLN=1e-10,P.D2R=.017453292519943295,P.R2D=57.29577951308232,P.FORTPI=Math.PI/4,P.TWO_PI=2*Math.PI,P.SPI=3.14159265359},\n function _(o,r,a,e,s){e();var n={};a.default=n,n.greenwich=0,n.lisbon=-9.131906111111,n.paris=2.337229166667,n.bogota=-74.080916666667,n.madrid=-3.687938888889,n.rome=12.452333333333,n.bern=7.439583333333,n.jakarta=106.807719444444,n.ferro=-17.666666666667,n.brussels=4.367975,n.stockholm=18.058277777778,n.athens=23.7163375,n.oslo=10.722916666667},\n function _(t,e,f,o,u){o(),f.default={ft:{to_meter:.3048},\"us-ft\":{to_meter:1200/3937}}},\n function _(e,r,t,a,n){a();var o=/[\\s_\\-\\/\\(\\)]/g;t.default=function(e,r){if(e[r])return e[r];for(var t,a=Object.keys(e),n=r.toLowerCase().replace(o,\"\"),f=-1;++f0?90:-90),e.lat_ts=e.lat1)}(n),n}},\n function _(t,e,r,i,s){i(),r.default=function(t){return new d(t).output()};var h=/\\s/,o=/[A-Za-z]/,n=/[A-Za-z84]/,a=/[,\\]]/,u=/[\\d\\.E\\-\\+]/;function d(t){if(\"string\"!=typeof t)throw new Error(\"not a string\");this.text=t.trim(),this.level=0,this.place=0,this.root=null,this.stack=[],this.currentObject=null,this.state=1}d.prototype.readCharicter=function(){var t=this.text[this.place++];if(4!==this.state)for(;h.test(t);){if(this.place>=this.text.length)return;t=this.text[this.place++]}switch(this.state){case 1:return this.neutral(t);case 2:return this.keyword(t);case 4:return this.quoted(t);case 5:return this.afterquote(t);case 3:return this.number(t);case-1:return}},d.prototype.afterquote=function(t){if('\"'===t)return this.word+='\"',void(this.state=4);if(a.test(t))return this.word=this.word.trim(),void this.afterItem(t);throw new Error(\"havn't handled \\\"\"+t+'\" in afterquote yet, index '+this.place)},d.prototype.afterItem=function(t){return\",\"===t?(null!==this.word&&this.currentObject.push(this.word),this.word=null,void(this.state=1)):\"]\"===t?(this.level--,null!==this.word&&(this.currentObject.push(this.word),this.word=null),this.state=1,this.currentObject=this.stack.pop(),void(this.currentObject||(this.state=-1))):void 0},d.prototype.number=function(t){if(!u.test(t)){if(a.test(t))return this.word=parseFloat(this.word),void this.afterItem(t);throw new Error(\"havn't handled \\\"\"+t+'\" in number yet, index '+this.place)}this.word+=t},d.prototype.quoted=function(t){'\"'!==t?this.word+=t:this.state=5},d.prototype.keyword=function(t){if(n.test(t))this.word+=t;else{if(\"[\"===t){var e=[];return e.push(this.word),this.level++,null===this.root?this.root=e:this.currentObject.push(e),this.stack.push(this.currentObject),this.currentObject=e,void(this.state=1)}if(!a.test(t))throw new Error(\"havn't handled \\\"\"+t+'\" in keyword yet, index '+this.place);this.afterItem(t)}},d.prototype.neutral=function(t){if(o.test(t))return this.word=t,void(this.state=2);if('\"'===t)return this.word=\"\",void(this.state=4);if(u.test(t))return this.word=t,void(this.state=3);if(!a.test(t))throw new Error(\"havn't handled \\\"\"+t+'\" in neutral yet, index '+this.place);this.afterItem(t)},d.prototype.output=function(){for(;this.place90&&a*o.R2D<-90&&h*o.R2D>180&&h*o.R2D<-180)return null;if(Math.abs(Math.abs(a)-o.HALF_PI)<=o.EPSLN)return null;if(this.sphere)i=this.x0+this.a*this.k0*(0,n.default)(h-this.long0),s=this.y0+this.a*this.k0*Math.log(Math.tan(o.FORTPI+.5*a));else{var e=Math.sin(a),r=(0,l.default)(this.e,a,e);i=this.x0+this.a*this.k0*(0,n.default)(h-this.long0),s=this.y0-this.a*this.k0*Math.log(r)}return t.x=i,t.y=s,t}function M(t){var i,s,h=t.x-this.x0,a=t.y-this.y0;if(this.sphere)s=o.HALF_PI-2*Math.atan(Math.exp(-a/(this.a*this.k0)));else{var e=Math.exp(-a/(this.a*this.k0));if(-9999===(s=(0,u.default)(this.e,e)))return null}return i=(0,n.default)(this.long0+h/(this.a*this.k0)),t.x=i,t.y=s,t}s.init=f,s.forward=_,s.inverse=M,s.names=[\"Mercator\",\"Popular Visualisation Pseudo Mercator\",\"Mercator_1SP\",\"Mercator_Auxiliary_Sphere\",\"merc\"],s.default={init:f,forward:_,inverse:M,names:s.names}},\n function _(t,n,r,u,a){u(),r.default=function(t,n,r){var u=t*n;return r/Math.sqrt(1-u*u)}},\n function _(t,n,u,a,f){a();const e=t(1),o=t(85),_=(0,e.__importDefault)(t(97));u.default=function(t){return Math.abs(t)<=o.SPI?t:t-(0,_.default)(t)*o.TWO_PI}},\n function _(n,t,u,f,c){f(),u.default=function(n){return n<0?-1:1}},\n function _(t,n,a,o,u){o();const c=t(85);a.default=function(t,n,a){var o=t*a,u=.5*t;return o=Math.pow((1-o)/(1+o),u),Math.tan(.5*(c.HALF_PI-n))/o}},\n function _(t,a,n,r,f){r();const h=t(85);n.default=function(t,a){for(var n,r,f=.5*t,o=h.HALF_PI-2*Math.atan(a),u=0;u<=15;u++)if(n=t*Math.sin(o),o+=r=h.HALF_PI-2*Math.atan(a*Math.pow((1-n)/(1+n),f))-o,Math.abs(r)<=1e-10)return o;return-9999}},\n function _(n,i,e,t,r){function a(){}function f(n){return n}t(),e.init=a,e.forward=f,e.inverse=f,e.names=[\"longlat\",\"identity\"],e.default={init:a,forward:f,inverse:f,names:e.names}},\n function _(t,r,e,a,n){a();const f=t(1),i=t(85),u=(0,f.__importStar)(t(102)),c=(0,f.__importDefault)(t(88));e.eccentricity=function(t,r,e,a){var n=t*t,f=r*r,u=(n-f)/n,c=0;return a?(n=(t*=1-u*(i.SIXTH+u*(i.RA4+u*i.RA6)))*t,u=0):c=Math.sqrt(u),{es:u,e:c,ep2:(n-f)/f}},e.sphere=function(t,r,e,a,n){if(!t){var f=(0,c.default)(u.default,a);f||(f=u.WGS84),t=f.a,r=f.b,e=f.rf}return e&&!r&&(r=(1-1/e)*t),(0===e||Math.abs(t-r)3&&(0===s.datum_params[3]&&0===s.datum_params[4]&&0===s.datum_params[5]&&0===s.datum_params[6]||(s.datum_type=d.PJD_7PARAM,s.datum_params[3]*=d.SEC_TO_RAD,s.datum_params[4]*=d.SEC_TO_RAD,s.datum_params[5]*=d.SEC_TO_RAD,s.datum_params[6]=s.datum_params[6]/1e6+1))),r&&(s.datum_type=d.PJD_GRIDSHIFT,s.grids=r),s.a=_,s.b=t,s.es=u,s.ep2=p,s}},\n function _(t,e,n,r,i){r();var u={};function l(t){if(0===t.length)return null;var e=\"@\"===t[0];return e&&(t=t.slice(1)),\"null\"===t?{name:\"null\",mandatory:!e,grid:null,isNull:!0}:{name:t,mandatory:!e,grid:u[t]||null,isNull:!1}}function o(t){return t/3600*Math.PI/180}function a(t,e,n){return String.fromCharCode.apply(null,new Uint8Array(t.buffer.slice(e,n)))}function d(t){return t.map((function(t){return[o(t.longitudeShift),o(t.latitudeShift)]}))}function g(t,e,n){return{name:a(t,e+8,e+16).trim(),parent:a(t,e+24,e+24+8).trim(),lowerLatitude:t.getFloat64(e+72,n),upperLatitude:t.getFloat64(e+88,n),lowerLongitude:t.getFloat64(e+104,n),upperLongitude:t.getFloat64(e+120,n),latitudeInterval:t.getFloat64(e+136,n),longitudeInterval:t.getFloat64(e+152,n),gridNodeCount:t.getInt32(e+168,n)}}function s(t,e,n,r){for(var i=e+176,u=[],l=0;l1&&console.log(\"Only single NTv2 subgrids are currently supported, subsequent sub grids are ignored\");var l=function(t,e,n){for(var r=176,i=[],u=0;ua.y||f>a.x||N1e-12&&Math.abs(n.y)>1e-12);if(d<0)return console.log(\"Inverse grid shift iterator failed to converge.\"),a;a.x=(0,u.default)(l.x+t.ll[0]),a.y=l.y+t.ll[1]}else isNaN(l.x)||(a.x=r.x+l.x,a.y=r.y+l.y);return a}function f(r,e){var t,a={x:r.x/e.del[0],y:r.y/e.del[1]},i=Math.floor(a.x),l=Math.floor(a.y),n=a.x-1*i,o=a.y-1*l,u={x:Number.NaN,y:Number.NaN};if(i<0||i>=e.lim[0])return u;if(l<0||l>=e.lim[1])return u;t=l*e.lim[0]+i;var d=e.cvs[t][0],s=e.cvs[t][1];t++;var y=e.cvs[t][0],f=e.cvs[t][1];t+=e.lim[0];var x=e.cvs[t][0],m=e.cvs[t][1];t--;var N=e.cvs[t][0],c=e.cvs[t][1],_=n*o,g=n*(1-o),v=(1-n)*(1-o),S=(1-n)*o;return u.x=v*d+g*y+S*N+_*x,u.y=v*s+g*f+S*c+_*m,u}t.default=function(r,e,t){if((0,o.compareDatums)(r,e))return t;if(r.datum_type===n.PJD_NODATUM||e.datum_type===n.PJD_NODATUM)return t;var a=r.a,i=r.es;if(r.datum_type===n.PJD_GRIDSHIFT){if(0!==s(r,!1,t))return;a=n.SRS_WGS84_SEMIMAJOR,i=n.SRS_WGS84_ESQUARED}var l=e.a,u=e.b,y=e.es;if(e.datum_type===n.PJD_GRIDSHIFT&&(l=n.SRS_WGS84_SEMIMAJOR,u=n.SRS_WGS84_SEMIMINOR,y=n.SRS_WGS84_ESQUARED),i===y&&a===l&&!d(r.datum_type)&&!d(e.datum_type))return t;if(t=(0,o.geodeticToGeocentric)(t,i,a),d(r.datum_type)&&(t=(0,o.geocentricToWgs84)(t,r.datum_type,r.datum_params)),d(e.datum_type)&&(t=(0,o.geocentricFromWgs84)(t,e.datum_type,e.datum_params)),t=(0,o.geocentricToGeodetic)(t,y,l,u),e.datum_type===n.PJD_GRIDSHIFT&&0!==s(e,!0,t))return;return t},t.applyGridShift=s},\n function _(a,t,r,m,s){m();const u=a(85);r.compareDatums=function(a,t){return a.datum_type===t.datum_type&&(!(a.a!==t.a||Math.abs(a.es-t.es)>5e-11)&&(a.datum_type===u.PJD_3PARAM?a.datum_params[0]===t.datum_params[0]&&a.datum_params[1]===t.datum_params[1]&&a.datum_params[2]===t.datum_params[2]:a.datum_type!==u.PJD_7PARAM||a.datum_params[0]===t.datum_params[0]&&a.datum_params[1]===t.datum_params[1]&&a.datum_params[2]===t.datum_params[2]&&a.datum_params[3]===t.datum_params[3]&&a.datum_params[4]===t.datum_params[4]&&a.datum_params[5]===t.datum_params[5]&&a.datum_params[6]===t.datum_params[6]))},r.geodeticToGeocentric=function(a,t,r){var m,s,_,e,n=a.x,d=a.y,i=a.z?a.z:0;if(d<-u.HALF_PI&&d>-1.001*u.HALF_PI)d=-u.HALF_PI;else if(d>u.HALF_PI&&d<1.001*u.HALF_PI)d=u.HALF_PI;else{if(d<-u.HALF_PI)return{x:-1/0,y:-1/0,z:a.z};if(d>u.HALF_PI)return{x:1/0,y:1/0,z:a.z}}return n>Math.PI&&(n-=2*Math.PI),s=Math.sin(d),e=Math.cos(d),_=s*s,{x:((m=r/Math.sqrt(1-t*_))+i)*e*Math.cos(n),y:(m+i)*e*Math.sin(n),z:(m*(1-t)+i)*s}},r.geocentricToGeodetic=function(a,t,r,m){var s,_,e,n,d,i,p,P,y,z,M,o,A,c,x,h=1e-12,f=a.x,I=a.y,F=a.z?a.z:0;if(s=Math.sqrt(f*f+I*I),_=Math.sqrt(f*f+I*I+F*F),s/r1e-24&&A<30);return{x:c,y:Math.atan(M/Math.abs(z)),z:x}},r.geocentricToWgs84=function(a,t,r){if(t===u.PJD_3PARAM)return{x:a.x+r[0],y:a.y+r[1],z:a.z+r[2]};if(t===u.PJD_7PARAM){var m=r[0],s=r[1],_=r[2],e=r[3],n=r[4],d=r[5],i=r[6];return{x:i*(a.x-d*a.y+n*a.z)+m,y:i*(d*a.x+a.y-e*a.z)+s,z:i*(-n*a.x+e*a.y+a.z)+_}}},r.geocentricFromWgs84=function(a,t,r){if(t===u.PJD_3PARAM)return{x:a.x-r[0],y:a.y-r[1],z:a.z-r[2]};if(t===u.PJD_7PARAM){var m=r[0],s=r[1],_=r[2],e=r[3],n=r[4],d=r[5],i=r[6],p=(a.x-m)/i,P=(a.y-s)/i,y=(a.z-_)/i;return{x:p+d*P-n*y,y:-d*p+P+e*y,z:n*p-e*P+y}}}},\n function _(e,a,i,r,s){r(),i.default=function(e,a,i){var r,s,n,c=i.x,d=i.y,f=i.z||0,u={};for(n=0;n<3;n++)if(!a||2!==n||void 0!==i.z)switch(0===n?(r=c,s=-1!==\"ew\".indexOf(e.axis[n])?\"x\":\"y\"):1===n?(r=d,s=-1!==\"ns\".indexOf(e.axis[n])?\"y\":\"x\"):(r=f,s=\"z\"),e.axis[n]){case\"e\":u[s]=r;break;case\"w\":u[s]=-r;break;case\"n\":u[s]=r;break;case\"s\":u[s]=-r;break;case\"u\":void 0!==i[s]&&(u.z=r);break;case\"d\":void 0!==i[s]&&(u.z=-r);break;default:return null}return u}},\n function _(n,t,e,u,f){u(),e.default=function(n){var t={x:n[0],y:n[1]};return n.length>2&&(t.z=n[2]),n.length>3&&(t.m=n[3]),t}},\n function _(e,i,n,t,r){function o(e){if(\"function\"==typeof Number.isFinite){if(Number.isFinite(e))return;throw new TypeError(\"coordinates must be finite numbers\")}if(\"number\"!=typeof e||e!=e||!isFinite(e))throw new TypeError(\"coordinates must be finite numbers\")}t(),n.default=function(e){o(e.x),o(e.y)}},\n function _(e,i,s,t,o){t();const n=e(1);var l,a,r,_,c;const d=e(53),v=e(42),u=(0,n.__importStar)(e(45)),h=e(48),m=(0,n.__importStar)(e(18));class T extends v.View{initialize(){super.initialize(),this.visuals=new u.Visuals(this)}request_render(){this.parent.request_render()}get canvas(){return this.parent.canvas}set_data(e){const i=this;for(const s of this.model){if(!(s instanceof m.VectorSpec||s instanceof m.ScalarSpec))continue;const t=s.uniform(e);i[`${s.attr}`]=t}}}s.ArrowHeadView=T,T.__name__=\"ArrowHeadView\";class p extends d.Model{constructor(e){super(e)}}s.ArrowHead=p,l=p,p.__name__=\"ArrowHead\",l.define((()=>({size:[m.NumberSpec,25]})));class V extends T{clip(e,i){this.visuals.line.set_vectorize(e,i);const s=this.size.get(i);e.moveTo(.5*s,s),e.lineTo(.5*s,-2),e.lineTo(-.5*s,-2),e.lineTo(-.5*s,s),e.lineTo(0,0),e.lineTo(.5*s,s)}render(e,i){if(this.visuals.line.doit){this.visuals.line.set_vectorize(e,i);const s=this.size.get(i);e.beginPath(),e.moveTo(.5*s,s),e.lineTo(0,0),e.lineTo(-.5*s,s),e.stroke()}}}s.OpenHeadView=V,V.__name__=\"OpenHeadView\";class f extends p{constructor(e){super(e)}}s.OpenHead=f,a=f,f.__name__=\"OpenHead\",a.prototype.default_view=V,a.mixins(h.LineVector);class w extends T{clip(e,i){this.visuals.line.set_vectorize(e,i);const s=this.size.get(i);e.moveTo(.5*s,s),e.lineTo(.5*s,-2),e.lineTo(-.5*s,-2),e.lineTo(-.5*s,s),e.lineTo(.5*s,s)}render(e,i){this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,i),this._normal(e,i),e.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,i),this._normal(e,i),e.stroke())}_normal(e,i){const s=this.size.get(i);e.beginPath(),e.moveTo(.5*s,s),e.lineTo(0,0),e.lineTo(-.5*s,s),e.closePath()}}s.NormalHeadView=w,w.__name__=\"NormalHeadView\";class H extends p{constructor(e){super(e)}}s.NormalHead=H,r=H,H.__name__=\"NormalHead\",r.prototype.default_view=w,r.mixins([h.LineVector,h.FillVector]),r.override({fill_color:\"black\"});class z extends T{clip(e,i){this.visuals.line.set_vectorize(e,i);const s=this.size.get(i);e.moveTo(.5*s,s),e.lineTo(.5*s,-2),e.lineTo(-.5*s,-2),e.lineTo(-.5*s,s),e.lineTo(0,.5*s),e.lineTo(.5*s,s)}render(e,i){this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,i),this._vee(e,i),e.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,i),this._vee(e,i),e.stroke())}_vee(e,i){const s=this.size.get(i);e.beginPath(),e.moveTo(.5*s,s),e.lineTo(0,0),e.lineTo(-.5*s,s),e.lineTo(0,.5*s),e.closePath()}}s.VeeHeadView=z,z.__name__=\"VeeHeadView\";class x extends p{constructor(e){super(e)}}s.VeeHead=x,_=x,x.__name__=\"VeeHead\",_.prototype.default_view=z,_.mixins([h.LineVector,h.FillVector]),_.override({fill_color:\"black\"});class g extends T{render(e,i){if(this.visuals.line.doit){this.visuals.line.set_vectorize(e,i);const s=this.size.get(i);e.beginPath(),e.moveTo(.5*s,0),e.lineTo(-.5*s,0),e.stroke()}}clip(e,i){}}s.TeeHeadView=g,g.__name__=\"TeeHeadView\";class b extends p{constructor(e){super(e)}}s.TeeHead=b,c=b,b.__name__=\"TeeHead\",c.prototype.default_view=g,c.mixins(h.LineVector)},\n function _(n,e,t,i,o){i();const s=n(9);async function c(n,e,t){const i=new n(Object.assign(Object.assign({},t),{model:e}));return i.initialize(),await i.lazy_initialize(),i}t.build_view=async function(n,e={parent:null},t=(n=>n.default_view)){const i=await c(t(n),n,e);return i.connect_signals(),i},t.build_views=async function(n,e,t={parent:null},i=(n=>n.default_view)){const o=(0,s.difference)([...n.keys()],e);for(const e of o)n.get(e).remove(),n.delete(e);const a=[],f=e.filter((e=>!n.has(e)));for(const e of f){const o=await c(i(e),e,t);n.set(e,o),a.push(o)}for(const n of a)n.connect_signals();return a},t.remove_views=function(n){for(const[e,t]of n)t.remove(),n.delete(e)}},\n function _(e,s,_,i,l){i();const t=e(1);var o;const r=e(115),p=(0,t.__importStar)(e(48));class h extends r.UpperLowerView{paint(e){e.beginPath(),e.moveTo(this._lower_sx[0],this._lower_sy[0]);for(let s=0,_=this._lower_sx.length;s<_;s++)e.lineTo(this._lower_sx[s],this._lower_sy[s]);for(let s=this._upper_sx.length-1;s>=0;s--)e.lineTo(this._upper_sx[s],this._upper_sy[s]);e.closePath(),this.visuals.fill.apply(e),e.beginPath(),e.moveTo(this._lower_sx[0],this._lower_sy[0]);for(let s=0,_=this._lower_sx.length;s<_;s++)e.lineTo(this._lower_sx[s],this._lower_sy[s]);this.visuals.line.apply(e),e.beginPath(),e.moveTo(this._upper_sx[0],this._upper_sy[0]);for(let s=0,_=this._upper_sx.length;s<_;s++)e.lineTo(this._upper_sx[s],this._upper_sy[s]);this.visuals.line.apply(e)}}_.BandView=h,h.__name__=\"BandView\";class n extends r.UpperLower{constructor(e){super(e)}}_.Band=n,o=n,n.__name__=\"Band\",o.prototype.default_view=h,o.mixins([p.Line,p.Fill]),o.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})},\n function _(e,t,i,s,o){s();const r=e(1);var n;const p=e(69),a=e(20),_=(0,r.__importStar)(e(18));class h extends p.DataAnnotationView{map_data(){const{frame:e}=this.plot_view,t=this.model.dimension,i=this.coordinates.x_scale,s=this.coordinates.y_scale,o=\"height\"==t?s:i,r=\"height\"==t?i:s,n=\"height\"==t?e.bbox.yview:e.bbox.xview,p=\"height\"==t?e.bbox.xview:e.bbox.yview;let a,_,h;a=\"data\"==this.model.properties.lower.units?o.v_compute(this._lower):n.v_compute(this._lower),_=\"data\"==this.model.properties.upper.units?o.v_compute(this._upper):n.v_compute(this._upper),h=\"data\"==this.model.properties.base.units?r.v_compute(this._base):p.v_compute(this._base);const[d,c]=\"height\"==t?[1,0]:[0,1],u=[a,h],l=[_,h];this._lower_sx=u[d],this._lower_sy=u[c],this._upper_sx=l[d],this._upper_sy=l[c]}}i.UpperLowerView=h,h.__name__=\"UpperLowerView\";class d extends _.CoordinateSpec{get dimension(){return\"width\"==this.obj.dimension?\"x\":\"y\"}get units(){var e;return null!==(e=this.spec.units)&&void 0!==e?e:\"data\"}}i.XOrYCoordinateSpec=d,d.__name__=\"XOrYCoordinateSpec\";class c extends p.DataAnnotation{constructor(e){super(e)}}i.UpperLower=c,n=c,c.__name__=\"UpperLower\",n.define((()=>({dimension:[a.Dimension,\"height\"],lower:[d,{field:\"lower\"}],upper:[d,{field:\"upper\"}],base:[d,{field:\"base\"}]})))},\n function _(t,o,i,n,e){n();const s=t(1);var l;const r=t(40),a=(0,s.__importStar)(t(48)),c=t(20),h=t(65);i.EDGE_TOLERANCE=2.5;class b extends r.AnnotationView{constructor(){super(...arguments),this.bbox=new h.BBox}connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.request_render()))}_render(){const{left:t,right:o,top:i,bottom:n}=this.model;if(null==t&&null==o&&null==i&&null==n)return;const{frame:e}=this.plot_view,s=this.coordinates.x_scale,l=this.coordinates.y_scale,r=(t,o,i,n,e)=>{let s;return s=null!=t?this.model.screen?t:\"data\"==o?i.compute(t):n.compute(t):e,s};this.bbox=h.BBox.from_rect({left:r(t,this.model.left_units,s,e.bbox.xview,e.bbox.left),right:r(o,this.model.right_units,s,e.bbox.xview,e.bbox.right),top:r(i,this.model.top_units,l,e.bbox.yview,e.bbox.top),bottom:r(n,this.model.bottom_units,l,e.bbox.yview,e.bbox.bottom)}),this._paint_box()}_paint_box(){const{ctx:t}=this.layer;t.save();const{left:o,top:i,width:n,height:e}=this.bbox;t.beginPath(),t.rect(o,i,n,e),this.visuals.fill.apply(t),this.visuals.hatch.apply(t),this.visuals.line.apply(t),t.restore()}interactive_bbox(){const t=this.model.line_width+i.EDGE_TOLERANCE;return this.bbox.grow_by(t)}interactive_hit(t,o){if(null==this.model.in_cursor)return!1;return this.interactive_bbox().contains(t,o)}cursor(t,o){const{left:i,right:n,bottom:e,top:s}=this.bbox;return Math.abs(t-i)<3||Math.abs(t-n)<3?this.model.ew_cursor:Math.abs(o-e)<3||Math.abs(o-s)<3?this.model.ns_cursor:this.bbox.contains(t,o)?this.model.in_cursor:null}}i.BoxAnnotationView=b,b.__name__=\"BoxAnnotationView\";class u extends r.Annotation{constructor(t){super(t)}update({left:t,right:o,top:i,bottom:n}){this.setv({left:t,right:o,top:i,bottom:n,screen:!0})}}i.BoxAnnotation=u,l=u,u.__name__=\"BoxAnnotation\",l.prototype.default_view=b,l.mixins([a.Line,a.Fill,a.Hatch]),l.define((({Number:t,Nullable:o})=>({top:[o(t),null],top_units:[c.SpatialUnits,\"data\"],bottom:[o(t),null],bottom_units:[c.SpatialUnits,\"data\"],left:[o(t),null],left_units:[c.SpatialUnits,\"data\"],right:[o(t),null],right_units:[c.SpatialUnits,\"data\"],render_mode:[c.RenderMode,\"canvas\"]}))),l.internal((({Boolean:t,String:o,Nullable:i})=>({screen:[t,!1],ew_cursor:[i(o),null],ns_cursor:[i(o),null],in_cursor:[i(o),null]}))),l.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})},\n function _(t,e,i,o,n){o();const a=t(1);var r;const s=t(40),l=t(118),_=t(126),c=t(127),h=t(130),u=t(168),p=t(131),m=t(192),g=t(132),d=t(173),f=t(172),w=t(196),b=t(204),v=t(206),x=t(133),y=t(20),k=(0,a.__importStar)(t(48)),z=t(9),j=t(207),C=t(208),L=t(211),B=t(123),S=t(11),M=t(113),T=t(65),A=t(8);class O extends s.AnnotationView{get orientation(){return this._orientation}initialize(){super.initialize();const{ticker:t,formatter:e,color_mapper:i}=this.model;this._ticker=\"auto\"!=t?t:(()=>{switch(!0){case i instanceof w.LogColorMapper:return new u.LogTicker;case i instanceof w.ScanningColorMapper:return new u.BinnedTicker({mapper:i});case i instanceof w.CategoricalColorMapper:return new u.CategoricalTicker;default:return new u.BasicTicker}})(),this._formatter=\"auto\"!=e?e:(()=>{switch(!0){case this._ticker instanceof u.LogTicker:return new m.LogTickFormatter;case i instanceof w.CategoricalColorMapper:return new m.CategoricalTickFormatter;default:return new m.BasicTickFormatter}})(),this._major_range=(()=>{if(i instanceof w.CategoricalColorMapper){const{factors:t}=i;return new v.FactorRange({factors:t})}if(i instanceof f.ContinuousColorMapper){const{min:t,max:e}=i.metrics;return new v.Range1d({start:t,end:e})}(0,S.unreachable)()})(),this._major_scale=(()=>{if(i instanceof w.LinearColorMapper)return new b.LinearScale;if(i instanceof w.LogColorMapper)return new b.LogScale;if(i instanceof w.ScanningColorMapper){const{binning:t}=i.metrics;return new b.LinearInterpolationScale({binning:t})}if(i instanceof w.CategoricalColorMapper)return new b.CategoricalScale;(0,S.unreachable)()})(),this._minor_range=new v.Range1d({start:0,end:1}),this._minor_scale=new b.LinearScale;const o=k.attrs_of(this.model,\"major_label_\",k.Text,!0),n=k.attrs_of(this.model,\"major_tick_\",k.Line,!0),a=k.attrs_of(this.model,\"minor_tick_\",k.Line,!0),r=k.attrs_of(this.model,\"title_\",k.Text),s=i instanceof w.CategoricalColorMapper?c.CategoricalAxis:i instanceof w.LogColorMapper?c.LogAxis:c.LinearAxis;this._axis=new s(Object.assign(Object.assign(Object.assign({ticker:this._ticker,formatter:this._formatter,major_tick_in:this.model.major_tick_in,major_tick_out:this.model.major_tick_out,minor_tick_in:this.model.minor_tick_in,minor_tick_out:this.model.minor_tick_out,major_label_standoff:this.model.label_standoff,major_label_overrides:this.model.major_label_overrides,major_label_policy:this.model.major_label_policy,axis_line_color:null},o),n),a));const{title:_}=this.model;_&&(this._title=new l.Title(Object.assign({text:_,standoff:this.model.title_standoff},r)))}async lazy_initialize(){await super.lazy_initialize();const t=this,e={get parent(){return t.parent},get root(){return t.root},get frame(){return t._frame},get canvas_view(){return t.parent.canvas_view},request_layout(){t.parent.request_layout()}};this._axis_view=await(0,M.build_view)(this._axis,{parent:e}),null!=this._title&&(this._title_view=await(0,M.build_view)(this._title,{parent:e}))}remove(){var t;null===(t=this._title_view)||void 0===t||t.remove(),this._axis_view.remove(),super.remove()}connect_signals(){super.connect_signals(),this.connect(this._ticker.change,(()=>this.request_render())),this.connect(this._formatter.change,(()=>this.request_render())),this.connect(this.model.color_mapper.metrics_change,(()=>{const t=this._major_range,e=this._major_scale,{color_mapper:i}=this.model;if(i instanceof f.ContinuousColorMapper&&t instanceof v.Range1d){const{min:e,max:o}=i.metrics;t.setv({start:e,end:o})}if(i instanceof w.ScanningColorMapper&&e instanceof b.LinearInterpolationScale){const{binning:t}=i.metrics;e.binning=t}this._set_canvas_image(),this.plot_view.request_layout()}))}_set_canvas_image(){const{orientation:t}=this,e=(()=>{const{palette:e}=this.model.color_mapper;return\"vertical\"==t?(0,z.reversed)(e):e})(),[i,o]=\"vertical\"==t?[1,e.length]:[e.length,1],n=this._image=document.createElement(\"canvas\");n.width=i,n.height=o;const a=n.getContext(\"2d\"),r=a.getImageData(0,0,i,o),s=new w.LinearColorMapper({palette:e}).rgba_mapper.v_compute((0,z.range)(0,e.length));r.data.set(s),a.putImageData(r,0,0)}update_layout(){const{location:t,width:e,height:i,padding:o,margin:n}=this.model,[a,r]=(()=>{if(!(0,A.isString)(t))return[\"end\",\"start\"];switch(t){case\"top_left\":return[\"start\",\"start\"];case\"top\":case\"top_center\":return[\"start\",\"center\"];case\"top_right\":return[\"start\",\"end\"];case\"bottom_left\":return[\"end\",\"start\"];case\"bottom\":case\"bottom_center\":return[\"end\",\"center\"];case\"bottom_right\":return[\"end\",\"end\"];case\"left\":case\"center_left\":return[\"center\",\"start\"];case\"center\":case\"center_center\":return[\"center\",\"center\"];case\"right\":case\"center_right\":return[\"center\",\"end\"]}})(),s=this._orientation=(()=>{const{orientation:t}=this.model;return\"auto\"==t?null!=this.panel?this.panel.is_horizontal?\"horizontal\":\"vertical\":\"start\"==r||\"end\"==r||\"center\"==r&&\"center\"==a?\"vertical\":\"horizontal\":t})(),l=new C.NodeLayout,c=new C.VStack,h=new C.VStack,u=new C.HStack,p=new C.HStack;l.absolute=!0,c.absolute=!0,h.absolute=!0,u.absolute=!0,p.absolute=!0;const[m,g,d,f]=(()=>\"horizontal\"==s?[this._major_scale,this._minor_scale,this._major_range,this._minor_range]:[this._minor_scale,this._major_scale,this._minor_range,this._major_range])();this._frame=new _.CartesianFrame(m,g,d,f),l.on_resize((t=>this._frame.set_geometry(t)));const w=new L.BorderLayout;this._inner_layout=w,w.absolute=!0,w.center_panel=l,w.top_panel=c,w.bottom_panel=h,w.left_panel=u,w.right_panel=p;const b={left:o,right:o,top:o,bottom:o},v=(()=>{if(null==this.panel){if((0,A.isString)(t))return{left:n,right:n,top:n,bottom:n};{const[e,i]=t;return{left:e,right:n,top:n,bottom:i}}}if(!(0,A.isString)(t)){const[e,i]=t;return w.fixup_geometry=(t,o)=>{const n=t,a=this.layout.bbox,{width:r,height:s}=t;if(t=new T.BBox({left:a.left+e,bottom:a.bottom-i,width:r,height:s}),null!=o){const e=t.left-n.left,i=t.top-n.top,{left:a,top:r,width:s,height:l}=o;o=new T.BBox({left:a+e,top:r+i,width:s,height:l})}return[t,o]},{left:e,right:0,top:0,bottom:i}}w.fixup_geometry=(t,e)=>{const i=t;if(\"horizontal\"==s){const{top:e,width:i,height:o}=t;if(\"end\"==r){const{right:n}=this.layout.bbox;t=new T.BBox({right:n,top:e,width:i,height:o})}else if(\"center\"==r){const{hcenter:n}=this.layout.bbox;t=new T.BBox({hcenter:Math.round(n),top:e,width:i,height:o})}}else{const{left:e,width:i,height:o}=t;if(\"end\"==a){const{bottom:n}=this.layout.bbox;t=new T.BBox({left:e,bottom:n,width:i,height:o})}else if(\"center\"==a){const{vcenter:n}=this.layout.bbox;t=new T.BBox({left:e,vcenter:Math.round(n),width:i,height:o})}}if(null!=e){const o=t.left-i.left,n=t.top-i.top,{left:a,top:r,width:s,height:l}=e;e=new T.BBox({left:a+o,top:r+n,width:s,height:l})}return[t,e]}})();let x,y,k,z;if(w.padding=b,null!=this.panel?(x=\"max\",y=void 0,k=void 0,z=void 0):\"auto\"==(\"horizontal\"==s?e:i)?(x=\"fixed\",y=25*this.model.color_mapper.palette.length,k={percent:.3},z={percent:.8}):(x=\"fit\",y=void 0),\"horizontal\"==s){const t=\"auto\"==e?void 0:e,o=\"auto\"==i?25:i;w.set_sizing({width_policy:x,height_policy:\"min\",width:y,min_width:k,max_width:z,halign:r,valign:a,margin:v}),w.center_panel.set_sizing({width_policy:\"auto\"==e?\"fit\":\"fixed\",height_policy:\"fixed\",width:t,height:o})}else{const t=\"auto\"==e?25:e,o=\"auto\"==i?void 0:i;w.set_sizing({width_policy:\"min\",height_policy:x,height:y,min_height:k,max_height:z,halign:r,valign:a,margin:v}),w.center_panel.set_sizing({width_policy:\"fixed\",height_policy:\"auto\"==i?\"fit\":\"fixed\",width:t,height:o})}c.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),h.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),u.set_sizing({width_policy:\"min\",height_policy:\"fit\"}),p.set_sizing({width_policy:\"min\",height_policy:\"fit\"});const{_title_view:S}=this;null!=S&&(\"horizontal\"==s?(S.panel=new B.Panel(\"above\"),S.update_layout(),c.children.push(S.layout)):(S.panel=new B.Panel(\"left\"),S.update_layout(),u.children.push(S.layout)));const{panel:M}=this,O=null!=M&&s==M.orientation?M.side:\"horizontal\"==s?\"below\":\"right\",R=(()=>{switch(O){case\"above\":return c;case\"below\":return h;case\"left\":return u;case\"right\":return p}})(),{_axis_view:F}=this;if(F.panel=new B.Panel(O),F.update_layout(),R.children.push(F.layout),null!=this.panel){const t=new j.Grid([{layout:w,row:0,col:0}]);t.absolute=!0,\"horizontal\"==s?t.set_sizing({width_policy:\"max\",height_policy:\"min\"}):t.set_sizing({width_policy:\"min\",height_policy:\"max\"}),this.layout=t}else this.layout=this._inner_layout;const{visible:I}=this.model;this.layout.sizing.visible=I,this._set_canvas_image()}_render(){var t;const{ctx:e}=this.layer;e.save(),this._paint_bbox(e,this._inner_layout.bbox),this._paint_image(e,this._inner_layout.center_panel.bbox),null===(t=this._title_view)||void 0===t||t.render(),this._axis_view.render(),e.restore()}_paint_bbox(t,e){const{x:i,y:o}=e;let{width:n,height:a}=e;i+n>=this.parent.canvas_view.bbox.width&&(n-=1),o+a>=this.parent.canvas_view.bbox.height&&(a-=1),t.save(),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(t),t.fillRect(i,o,n,a)),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(t),t.strokeRect(i,o,n,a)),t.restore()}_paint_image(t,e){const{x:i,y:o,width:n,height:a}=e;t.save(),t.setImageSmoothingEnabled(!1),t.globalAlpha=this.model.scale_alpha,t.drawImage(this._image,i,o,n,a),this.visuals.bar_line.doit&&(this.visuals.bar_line.set_value(t),t.strokeRect(i,o,n,a)),t.restore()}serializable_state(){const t=super.serializable_state(),{children:e=[]}=t,i=(0,a.__rest)(t,[\"children\"]);return null!=this._title_view&&e.push(this._title_view.serializable_state()),e.push(this._axis_view.serializable_state()),Object.assign(Object.assign({},i),{children:e})}}i.ColorBarView=O,O.__name__=\"ColorBarView\";class R extends s.Annotation{constructor(t){super(t)}}i.ColorBar=R,r=R,R.__name__=\"ColorBar\",r.prototype.default_view=O,r.mixins([[\"major_label_\",k.Text],[\"title_\",k.Text],[\"major_tick_\",k.Line],[\"minor_tick_\",k.Line],[\"border_\",k.Line],[\"bar_\",k.Line],[\"background_\",k.Fill]]),r.define((({Alpha:t,Number:e,String:i,Tuple:o,Dict:n,Or:a,Ref:r,Auto:s,Nullable:l})=>({location:[a(y.Anchor,o(e,e)),\"top_right\"],orientation:[a(y.Orientation,s),\"auto\"],title:[l(i),null],title_standoff:[e,2],width:[a(e,s),\"auto\"],height:[a(e,s),\"auto\"],scale_alpha:[t,1],ticker:[a(r(h.Ticker),s),\"auto\"],formatter:[a(r(p.TickFormatter),s),\"auto\"],major_label_overrides:[n(a(i,r(x.BaseText))),{}],major_label_policy:[r(g.LabelingPolicy),()=>new g.NoOverlap],color_mapper:[r(d.ColorMapper)],label_standoff:[e,5],margin:[e,30],padding:[e,10],major_tick_in:[e,5],major_tick_out:[e,0],minor_tick_in:[e,0],minor_tick_out:[e,0]}))),r.override({background_fill_color:\"#ffffff\",background_fill_alpha:.95,bar_line_color:null,border_line_color:null,major_label_text_font_size:\"11px\",major_tick_line_color:\"#ffffff\",minor_tick_line_color:null,title_text_font_size:\"13px\",title_text_font_style:\"italic\"})},\n function _(t,e,i,s,l){s();const o=t(1);var a;const n=t(119),r=t(20),c=t(120),h=(0,o.__importStar)(t(48));class _ extends n.TextAnnotationView{_get_location(){const t=this.model.offset,e=this.model.standoff/2;let i,s;const{bbox:l}=this.layout;switch(this.panel.side){case\"above\":case\"below\":switch(this.model.vertical_align){case\"top\":s=l.top+e;break;case\"middle\":s=l.vcenter;break;case\"bottom\":s=l.bottom-e}switch(this.model.align){case\"left\":i=l.left+t;break;case\"center\":i=l.hcenter;break;case\"right\":i=l.right-t}break;case\"left\":switch(this.model.vertical_align){case\"top\":i=l.left+e;break;case\"middle\":i=l.hcenter;break;case\"bottom\":i=l.right-e}switch(this.model.align){case\"left\":s=l.bottom-t;break;case\"center\":s=l.vcenter;break;case\"right\":s=l.top+t}break;case\"right\":switch(this.model.vertical_align){case\"top\":i=l.right-e;break;case\"middle\":i=l.hcenter;break;case\"bottom\":i=l.left+e}switch(this.model.align){case\"left\":s=l.top+t;break;case\"center\":s=l.vcenter;break;case\"right\":s=l.bottom-t}}return[i,s]}_render(){const{text:t}=this.model;if(null==t||0==t.length)return;this.model.text_baseline=this.model.vertical_align,this.model.text_align=this.model.align;const[e,i]=this._get_location(),s=this.panel.get_label_angle_heuristic(\"parallel\");(\"canvas\"==this.model.render_mode?this._canvas_text.bind(this):this._css_text.bind(this))(this.layer.ctx,t,e,i,s)}_get_size(){const{text:t}=this.model,e=new c.TextBox({text:t});e.visuals=this.visuals.text.values();const{width:i,height:s}=e.size();return{width:i,height:0==s?0:2+s+this.model.standoff}}}i.TitleView=_,_.__name__=\"TitleView\";class d extends n.TextAnnotation{constructor(t){super(t)}}i.Title=d,a=d,d.__name__=\"Title\",a.prototype.default_view=_,a.mixins([h.Text,[\"border_\",h.Line],[\"background_\",h.Fill]]),a.define((({Number:t,String:e})=>({text:[e,\"\"],vertical_align:[r.VerticalAlign,\"bottom\"],align:[r.TextAlign,\"left\"],offset:[t,0],standoff:[t,10]}))),a.prototype._props.text_align.options.internal=!0,a.prototype._props.text_baseline.options.internal=!0,a.override({text_font_size:\"13px\",text_font_style:\"bold\",text_line_height:1,background_fill_color:null,border_line_color:null})},\n function _(e,t,s,i,l){var n;i();const o=e(40),a=e(43),r=e(20),d=e(120),u=e(123),c=e(11);class h extends o.AnnotationView{update_layout(){const{panel:e}=this;this.layout=null!=e?new u.SideLayout(e,(()=>this.get_size()),!0):void 0}initialize(){super.initialize(),\"css\"==this.model.render_mode&&(this.el=(0,a.div)(),this.plot_view.canvas_view.add_overlay(this.el))}remove(){null!=this.el&&(0,a.remove)(this.el),super.remove()}connect_signals(){super.connect_signals(),\"css\"==this.model.render_mode?this.connect(this.model.change,(()=>this.render())):this.connect(this.model.change,(()=>this.request_render()))}render(){this.model.visible||\"css\"!=this.model.render_mode||(0,a.undisplay)(this.el),super.render()}_canvas_text(e,t,s,i,l){const n=new d.TextBox({text:t});n.angle=l,n.position={sx:s,sy:i},n.visuals=this.visuals.text.values();const{background_fill:o,border_line:a}=this.visuals;if(o.doit||a.doit){const{p0:t,p1:s,p2:i,p3:l}=n.rect();e.beginPath(),e.moveTo(t.x,t.y),e.lineTo(s.x,s.y),e.lineTo(i.x,i.y),e.lineTo(l.x,l.y),e.closePath(),this.visuals.background_fill.apply(e),this.visuals.border_line.apply(e)}this.visuals.text.doit&&n.paint(e)}_css_text(e,t,s,i,l){const{el:n}=this;(0,c.assert)(null!=n),(0,a.undisplay)(n),n.textContent=t,this.visuals.text.set_value(e),n.style.position=\"absolute\",n.style.left=`${s}px`,n.style.top=`${i}px`,n.style.color=e.fillStyle,n.style.font=e.font,n.style.lineHeight=\"normal\",n.style.whiteSpace=\"pre\";const[o,r]=(()=>{switch(this.visuals.text.text_align.get_value()){case\"left\":return[\"left\",\"0%\"];case\"center\":return[\"center\",\"-50%\"];case\"right\":return[\"right\",\"-100%\"]}})(),[d,u]=(()=>{switch(this.visuals.text.text_baseline.get_value()){case\"top\":return[\"top\",\"0%\"];case\"middle\":return[\"center\",\"-50%\"];case\"bottom\":return[\"bottom\",\"-100%\"];default:return[\"center\",\"-50%\"]}})();let h=`translate(${r}, ${u})`;l&&(h+=`rotate(${l}rad)`),n.style.transformOrigin=`${o} ${d}`,n.style.transform=h,this.layout,this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(e),n.style.backgroundColor=e.fillStyle),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(e),n.style.borderStyle=e.lineDash.length<2?\"solid\":\"dashed\",n.style.borderWidth=`${e.lineWidth}px`,n.style.borderColor=e.strokeStyle),(0,a.display)(n)}}s.TextAnnotationView=h,h.__name__=\"TextAnnotationView\";class _ extends o.Annotation{constructor(e){super(e)}}s.TextAnnotation=_,n=_,_.__name__=\"TextAnnotation\",n.define((()=>({render_mode:[r.RenderMode,\"canvas\"]})))},\n function _(t,e,s,i,n){i();const h=t(65),o=t(121),r=t(9),a=t(8),c=t(122),_=t(22);s.text_width=(()=>{const t=document.createElement(\"canvas\").getContext(\"2d\");let e=\"\";return(s,i)=>(i!=e&&(e=i,t.font=i),t.measureText(s).width)})();class l{constructor(){this._position={sx:0,sy:0},this.font_size_scale=1,this.align=\"left\",this._base_font_size=13,this._x_anchor=\"left\",this._y_anchor=\"center\"}set base_font_size(t){null!=t&&(this._base_font_size=t)}get base_font_size(){return this._base_font_size}set position(t){this._position=t}get position(){return this._position}infer_text_height(){return\"ascent_descent\"}bbox(){const{p0:t,p1:e,p2:s,p3:i}=this.rect(),n=Math.min(t.x,e.x,s.x,i.x),o=Math.min(t.y,e.y,s.y,i.y),r=Math.max(t.x,e.x,s.x,i.x),a=Math.max(t.y,e.y,s.y,i.y);return new h.BBox({left:n,right:r,top:o,bottom:a})}size(){const{width:t,height:e}=this._size(),{angle:s}=this;if(s){const i=Math.cos(Math.abs(s)),n=Math.sin(Math.abs(s));return{width:Math.abs(t*i+e*n),height:Math.abs(t*n+e*i)}}return{width:t,height:e}}rect(){const t=this._rect(),{angle:e}=this;if(e){const{sx:s,sy:i}=this.position,n=new c.AffineTransform;return n.translate(s,i),n.rotate(e),n.translate(-s,-i),n.apply_rect(t)}return t}paint_rect(t){const{p0:e,p1:s,p2:i,p3:n}=this.rect();t.save(),t.strokeStyle=\"red\",t.lineWidth=1,t.beginPath();const{round:h}=Math;t.moveTo(h(e.x),h(e.y)),t.lineTo(h(s.x),h(s.y)),t.lineTo(h(i.x),h(i.y)),t.lineTo(h(n.x),h(n.y)),t.closePath(),t.stroke(),t.restore()}paint_bbox(t){const{x:e,y:s,width:i,height:n}=this.bbox();t.save(),t.strokeStyle=\"blue\",t.lineWidth=1,t.beginPath();const{round:h}=Math;t.moveTo(h(e),h(s)),t.lineTo(h(e),h(s+n)),t.lineTo(h(e+i),h(s+n)),t.lineTo(h(e+i),h(s)),t.closePath(),t.stroke(),t.restore()}}s.GraphicsBox=l,l.__name__=\"GraphicsBox\";class x extends l{constructor({text:t}){super(),this.text=t}set visuals(t){const e=t.color,s=t.alpha,i=t.font_style;let n=t.font_size;const h=t.font,{font_size_scale:r,base_font_size:a}=this,c=(0,o.parse_css_font_size)(n);if(null!=c){let{value:t,unit:e}=c;t*=r,\"em\"==e&&a&&(t*=a,e=\"px\"),n=`${t}${e}`}const l=`${i} ${n} ${h}`;this.font=l,this.color=(0,_.color2css)(e,s),this.line_height=t.line_height;const x=t.align;this._x_anchor=x;const u=t.baseline;this._y_anchor=(()=>{switch(u){case\"top\":return\"top\";case\"middle\":return\"center\";case\"bottom\":return\"bottom\";default:return\"baseline\"}})()}infer_text_height(){if(this.text.includes(\"\\n\"))return\"ascent_descent\";{function t(t){for(const e of new Set(t))if(!(\"0\"<=e&&e<=\"9\"))switch(e){case\",\":case\".\":case\"+\":case\"-\":case\"\\u2212\":case\"e\":continue;default:return!1}return!0}return t(this.text)?\"cap\":\"ascent_descent\"}}_text_line(t){var e;const s=null!==(e=this.text_height_metric)&&void 0!==e?e:this.infer_text_height(),i=(()=>{switch(s){case\"x\":case\"x_descent\":return t.x_height;case\"cap\":case\"cap_descent\":return t.cap_height;case\"ascent\":case\"ascent_descent\":return t.ascent}})(),n=(()=>{switch(s){case\"x\":case\"cap\":case\"ascent\":return 0;case\"x_descent\":case\"cap_descent\":case\"ascent_descent\":return t.descent}})();return{height:i+n,ascent:i,descent:n}}get nlines(){return this.text.split(\"\\n\").length}_size(){var t,e;const{font:i}=this,n=(0,o.font_metrics)(i),h=(this.line_height-1)*n.height,a=\"\"==this.text,c=this.text.split(\"\\n\"),_=c.length,l=c.map((t=>(0,s.text_width)(t,i))),x=this._text_line(n).height*_,u=\"%\"==(null===(t=this.width)||void 0===t?void 0:t.unit)?this.width.value:1,p=\"%\"==(null===(e=this.height)||void 0===e?void 0:e.unit)?this.height.value:1;return{width:(0,r.max)(l)*u,height:a?0:(x+h*(_-1))*p,metrics:n}}_computed_position(t,e,s){const{width:i,height:n}=t,{sx:h,sy:o,x_anchor:r=this._x_anchor,y_anchor:c=this._y_anchor}=this.position;return{x:h-(()=>{if((0,a.isNumber)(r))return r*i;switch(r){case\"left\":return 0;case\"center\":return.5*i;case\"right\":return i}})(),y:o-(()=>{var t;if((0,a.isNumber)(c))return c*n;switch(c){case\"top\":return 0;case\"center\":return.5*n;case\"bottom\":return n;case\"baseline\":if(1!=s)return.5*n;switch(null!==(t=this.text_height_metric)&&void 0!==t?t:this.infer_text_height()){case\"x\":case\"x_descent\":return e.x_height;case\"cap\":case\"cap_descent\":return e.cap_height;case\"ascent\":case\"ascent_descent\":return e.ascent}}})()}}_rect(){const{width:t,height:e,metrics:s}=this._size(),i=this.text.split(\"\\n\").length,{x:n,y:o}=this._computed_position({width:t,height:e},s,i);return new h.BBox({x:n,y:o,width:t,height:e}).rect}paint(t){var e,i;const{font:n}=this,h=(0,o.font_metrics)(n),a=(this.line_height-1)*h.height,c=this.text.split(\"\\n\"),_=c.length,l=c.map((t=>(0,s.text_width)(t,n))),x=this._text_line(h),u=x.height*_,p=\"%\"==(null===(e=this.width)||void 0===e?void 0:e.unit)?this.width.value:1,f=\"%\"==(null===(i=this.height)||void 0===i?void 0:i.unit)?this.height.value:1,g=(0,r.max)(l)*p,d=(u+a*(_-1))*f;t.save(),t.fillStyle=this.color,t.font=this.font,t.textAlign=\"left\",t.textBaseline=\"alphabetic\";const{sx:b,sy:m}=this.position,{align:y}=this,{angle:w}=this;w&&(t.translate(b,m),t.rotate(w),t.translate(-b,-m));let{x:v,y:z}=this._computed_position({width:g,height:d},h,_);if(\"justify\"==y)for(let e=0;e<_;e++){let i=v;const h=c[e].split(\" \"),o=h.length,_=h.map((t=>(0,s.text_width)(t,n))),l=(g-(0,r.sum)(_))/(o-1);for(let e=0;e{switch(y){case\"left\":return 0;case\"center\":return.5*(g-l[e]);case\"right\":return g-l[e]}})();t.fillStyle=this.color,t.fillText(c[e],s,z+x.ascent),z+=x.height+a}t.restore()}}s.TextBox=x,x.__name__=\"TextBox\";class u extends l{constructor(t,e){super(),this.base=t,this.expo=e}get children(){return[this.base,this.expo]}set base_font_size(t){super.base_font_size=t,this.base.base_font_size=t,this.expo.base_font_size=t}set position(t){this._position=t;const e=this.base.size(),s=this.expo.size(),i=this._shift_scale()*e.height,n=Math.max(e.height,i+s.height);this.base.position={sx:0,x_anchor:\"left\",sy:n,y_anchor:\"bottom\"},this.expo.position={sx:e.width,x_anchor:\"left\",sy:i,y_anchor:\"bottom\"}}get position(){return this._position}set visuals(t){this.expo.font_size_scale=.7,this.base.visuals=t,this.expo.visuals=t}_shift_scale(){if(this.base instanceof x&&1==this.base.nlines){const{x_height:t,cap_height:e}=(0,o.font_metrics)(this.base.font);return t/e}return 2/3}infer_text_height(){return this.base.infer_text_height()}_rect(){const t=this.base.bbox(),e=this.expo.bbox(),s=t.union(e),{x:i,y:n}=this._computed_position();return s.translate(i,n).rect}_size(){const t=this.base.size(),e=this.expo.size();return{width:t.width+e.width,height:Math.max(t.height,this._shift_scale()*t.height+e.height)}}paint(t){t.save();const{angle:e}=this;if(e){const{sx:s,sy:i}=this.position;t.translate(s,i),t.rotate(e),t.translate(-s,-i)}const{x:s,y:i}=this._computed_position();t.translate(s,i),this.base.paint(t),this.expo.paint(t),t.restore()}paint_bbox(t){super.paint_bbox(t);const{x:e,y:s}=this._computed_position();t.save(),t.translate(e,s);for(const e of this.children)e.paint_bbox(t);t.restore()}_computed_position(){const{width:t,height:e}=this._size(),{sx:s,sy:i,x_anchor:n=this._x_anchor,y_anchor:h=this._y_anchor}=this.position;return{x:s-(()=>{if((0,a.isNumber)(n))return n*t;switch(n){case\"left\":return 0;case\"center\":return.5*t;case\"right\":return t}})(),y:i-(()=>{if((0,a.isNumber)(h))return h*e;switch(h){case\"top\":return 0;case\"center\":return.5*e;case\"bottom\":return e;case\"baseline\":return.5*e}})()}}}s.BaseExpo=u,u.__name__=\"BaseExpo\";class p{constructor(t){this.items=t}set base_font_size(t){for(const e of this.items)e.base_font_size=t}get length(){return this.items.length}set visuals(t){for(const e of this.items)e.visuals=t;const e={x:0,cap:1,ascent:2,x_descent:3,cap_descent:4,ascent_descent:5},s=(0,r.max_by)(this.items.map((t=>t.infer_text_height())),(t=>e[t]));for(const t of this.items)t.text_height_metric=s}set angle(t){for(const e of this.items)e.angle=t}max_size(){let t=0,e=0;for(const s of this.items){const i=s.size();t=Math.max(t,i.width),e=Math.max(e,i.height)}return{width:t,height:e}}}s.GraphicsBoxes=p,p.__name__=\"GraphicsBoxes\"},\n function _(t,e,n,r,l){r();const a=t(11),c=(()=>{try{return\"undefined\"!=typeof OffscreenCanvas&&null!=new OffscreenCanvas(0,0).getContext(\"2d\")}catch(t){return!1}})()?(t,e)=>new OffscreenCanvas(t,e):(t,e)=>{const n=document.createElement(\"canvas\");return n.width=t,n.height=e,n},o=(()=>{const t=c(0,0).getContext(\"2d\");return e=>{t.font=e;const n=t.measureText(\"M\"),r=t.measureText(\"x\"),l=t.measureText(\"\\xc5\\u015ag|\"),c=l.fontBoundingBoxAscent,o=l.fontBoundingBoxDescent;if(null!=c&&null!=o)return{height:c+o,ascent:c,descent:o,cap_height:n.actualBoundingBoxAscent,x_height:r.actualBoundingBoxAscent};const s=l.actualBoundingBoxAscent,u=l.actualBoundingBoxDescent;if(null!=s&&null!=u)return{height:s+u,ascent:s,descent:u,cap_height:n.actualBoundingBoxAscent,x_height:r.actualBoundingBoxAscent};(0,a.unreachable)()}})(),s=(()=>{const t=c(0,0).getContext(\"2d\");return(e,n)=>{t.font=n;const r=t.measureText(e),l=r.actualBoundingBoxAscent,c=r.actualBoundingBoxDescent;if(null!=l&&null!=c)return{width:r.width,height:l+c,ascent:l,descent:c};(0,a.unreachable)()}})(),u=(()=>{const t=document.createElement(\"canvas\"),e=t.getContext(\"2d\");let n=-1,r=-1;return(l,a=1)=>{e.font=l;const{width:c}=e.measureText(\"M\"),o=c*a,s=Math.ceil(o),u=Math.ceil(2*o),i=Math.ceil(1.5*o);n{let e=0;for(let n=0;n<=i;n++)for(let r=0;r{let e=t.length-4;for(let n=u;n>=i;n--)for(let r=0;r{const t=document.createElement(\"canvas\"),e=t.getContext(\"2d\");let n=-1,r=-1;return(l,a,c=1)=>{e.font=a;const{width:o}=e.measureText(\"M\"),s=o*c,u=Math.ceil(s),i=Math.ceil(2*s),f=Math.ceil(1.5*s);(n{let e=0;for(let n=0;n<=f;n++)for(let r=0;r{let e=t.length-4;for(let n=i;n>=f;n--)for(let r=0;r{try{return o(\"normal 10px sans-serif\"),o}catch(t){return u}})(),h=(()=>{try{return s(\"A\",\"normal 10px sans-serif\"),s}catch(t){return i}})(),g=new Map;function d(t){let e=g.get(t);return null==e&&(e={font:f(t),glyphs:new Map},g.set(t,e)),e.font}n.font_metrics=d,n.glyph_metrics=function(t,e){let n=g.get(e);null==n&&(d(e),n=g.get(e));let r=n.glyphs.get(t);return null==r&&(r=h(t,e),n.glyphs.set(t,r)),r},n.parse_css_font_size=function(t){const e=t.match(/^\\s*(\\d+(\\.\\d+)?)(\\w+)\\s*$/);if(null!=e){const[,t,,n]=e,r=Number(t);if(isFinite(r))return{value:r,unit:n}}return null}},\n function _(t,s,r,n,i){n();const{sin:e,cos:a}=Math;class h{constructor(t=1,s=0,r=0,n=1,i=0,e=0){this.a=t,this.b=s,this.c=r,this.d=n,this.e=i,this.f=e}toString(){const{a:t,b:s,c:r,d:n,e:i,f:e}=this;return`matrix(${t}, ${s}, ${r}, ${n}, ${i}, ${e})`}static from_DOMMatrix(t){const{a:s,b:r,c:n,d:i,e,f:a}=t;return new h(s,r,n,i,e,a)}to_DOMMatrix(){const{a:t,b:s,c:r,d:n,e:i,f:e}=this;return new DOMMatrix([t,s,r,n,i,e])}clone(){const{a:t,b:s,c:r,d:n,e:i,f:e}=this;return new h(t,s,r,n,i,e)}get is_identity(){const{a:t,b:s,c:r,d:n,e:i,f:e}=this;return 1==t&&0==s&&0==r&&1==n&&0==i&&0==e}apply_point(t){const[s,r]=this.apply(t.x,t.y);return{x:s,y:r}}apply_rect(t){return{p0:this.apply_point(t.p0),p1:this.apply_point(t.p1),p2:this.apply_point(t.p2),p3:this.apply_point(t.p3)}}apply(t,s){const{a:r,b:n,c:i,d:e,e:a,f:h}=this;return[r*t+i*s+a,n*t+e*s+h]}iv_apply(t,s){const{a:r,b:n,c:i,d:e,e:a,f:h}=this,c=t.length;for(let o=0;o{const h={max:4,fit:3,min:2,fixed:1};return h[i]>h[t]};if(\"fixed\"!=n&&\"fixed\"!=s)if(n==s){const n=t,s=_(t/e),r=_(h*e),g=h;Math.abs(i.width-n)+Math.abs(i.height-s)<=Math.abs(i.width-r)+Math.abs(i.height-g)?(t=n,h=s):(t=r,h=g)}else r(n,s)?h=_(t/e):t=_(h*e);else\"fixed\"==n?h=_(t/e):\"fixed\"==s&&(t=_(h*e))}return{width:t,height:h}}measure(i){if(!this.sizing.visible)return{width:0,height:0};const t=i=>\"fixed\"==this.sizing.width_policy&&null!=this.sizing.width?this.sizing.width:i,h=i=>\"fixed\"==this.sizing.height_policy&&null!=this.sizing.height?this.sizing.height:i,e=new s.Sizeable(i).shrink_by(this.sizing.margin).map(t,h),n=this._measure(e),r=this.clip_size(n,e),g=t(r.width),l=h(r.height),a=this.apply_aspect(e,{width:g,height:l});return Object.assign(Object.assign({},n),a)}compute(i={}){const t=this.measure({width:null!=i.width&&this.is_width_expanding()?i.width:1/0,height:null!=i.height&&this.is_height_expanding()?i.height:1/0}),{width:h,height:e}=t,n=new r.BBox({left:0,top:0,width:h,height:e});let s;if(null!=t.inner){const{left:i,top:n,right:g,bottom:l}=t.inner;s=new r.BBox({left:i,top:n,right:h-g,bottom:e-l})}this.set_geometry(n,s)}get xview(){return this.bbox.xview}get yview(){return this.bbox.yview}clip_size(i,t){function h(i,t,h,e){return null==h?h=0:(0,g.isNumber)(h)||(h=Math.round(h.percent*t)),null==e?e=1/0:(0,g.isNumber)(e)||(e=Math.round(e.percent*t)),a(h,l(i,e))}return{width:h(i.width,t.width,this.sizing.min_width,this.sizing.max_width),height:h(i.height,t.height,this.sizing.min_height,this.sizing.max_height)}}has_size_changed(){const{_dirty:i}=this;return this._dirty=!1,i}}h.Layoutable=o,o.__name__=\"Layoutable\";class d extends o{_measure(i){const{width_policy:t,height_policy:h}=this.sizing;return{width:(()=>{const{width:h}=this.sizing;if(i.width==1/0)return null!=h?h:0;switch(t){case\"fixed\":return null!=h?h:0;case\"min\":return null!=h?l(i.width,h):0;case\"fit\":return null!=h?l(i.width,h):i.width;case\"max\":return null!=h?a(i.width,h):i.width}})(),height:(()=>{const{height:t}=this.sizing;if(i.height==1/0)return null!=t?t:0;switch(h){case\"fixed\":return null!=t?t:0;case\"min\":return null!=t?l(i.height,t):0;case\"fit\":return null!=t?l(i.height,t):i.height;case\"max\":return null!=t?a(i.height,t):i.height}})()}}}h.LayoutItem=d,d.__name__=\"LayoutItem\";class u extends o{_measure(i){const t=this._content_size(),h=i.bounded_to(this.sizing.size).bounded_to(t);return{width:(()=>{switch(this.sizing.width_policy){case\"fixed\":return null!=this.sizing.width?this.sizing.width:t.width;case\"min\":return t.width;case\"fit\":return h.width;case\"max\":return Math.max(t.width,h.width)}})(),height:(()=>{switch(this.sizing.height_policy){case\"fixed\":return null!=this.sizing.height?this.sizing.height:t.height;case\"min\":return t.height;case\"fit\":return h.height;case\"max\":return Math.max(t.height,h.height)}})()}}}h.ContentLayoutable=u,u.__name__=\"ContentLayoutable\"},\n function _(e,t,s,a,_){a();const r=e(62),n=e(61),g=e(58),i=e(63),c=e(67),h=e(65),l=e(13),o=e(11);class x{constructor(e,t,s,a,_={},r={},n={},g={}){this.in_x_scale=e,this.in_y_scale=t,this.x_range=s,this.y_range=a,this.extra_x_ranges=_,this.extra_y_ranges=r,this.extra_x_scales=n,this.extra_y_scales=g,this._bbox=new h.BBox,(0,o.assert)(null==e.source_range&&null==e.target_range),(0,o.assert)(null==t.source_range&&null==t.target_range),this._configure_scales()}get bbox(){return this._bbox}_get_ranges(e,t){return new Map((0,l.entries)(Object.assign(Object.assign({},t),{default:e})))}_get_scales(e,t,s,a){var _;const g=new Map((0,l.entries)(Object.assign(Object.assign({},t),{default:e}))),h=new Map;for(const[t,l]of s){if(l instanceof c.FactorRange!=e instanceof r.CategoricalScale)throw new Error(`Range ${l.type} is incompatible is Scale ${e.type}`);e instanceof n.LogScale&&l instanceof i.DataRange1d&&(l.scale_hint=\"log\");const s=(null!==(_=g.get(t))&&void 0!==_?_:e).clone();s.setv({source_range:l,target_range:a}),h.set(t,s)}return h}_configure_frame_ranges(){const{bbox:e}=this;this._x_target=new g.Range1d({start:e.left,end:e.right}),this._y_target=new g.Range1d({start:e.bottom,end:e.top})}_configure_scales(){this._configure_frame_ranges(),this._x_ranges=this._get_ranges(this.x_range,this.extra_x_ranges),this._y_ranges=this._get_ranges(this.y_range,this.extra_y_ranges),this._x_scales=this._get_scales(this.in_x_scale,this.extra_x_scales,this._x_ranges,this._x_target),this._y_scales=this._get_scales(this.in_y_scale,this.extra_y_scales,this._y_ranges,this._y_target)}_update_scales(){this._configure_frame_ranges();for(const[,e]of this._x_scales)e.target_range=this._x_target;for(const[,e]of this._y_scales)e.target_range=this._y_target}set_geometry(e){this._bbox=e,this._update_scales()}get x_target(){return this._x_target}get y_target(){return this._y_target}get x_ranges(){return this._x_ranges}get y_ranges(){return this._y_ranges}get x_scales(){return this._x_scales}get y_scales(){return this._y_scales}get x_scale(){return this._x_scales.get(\"default\")}get y_scale(){return this._y_scales.get(\"default\")}get xscales(){return(0,l.to_object)(this.x_scales)}get yscales(){return(0,l.to_object)(this.y_scales)}}s.CartesianFrame=x,x.__name__=\"CartesianFrame\"},\n function _(i,s,x,A,o){A(),o(\"Axis\",i(128).Axis),o(\"CategoricalAxis\",i(140).CategoricalAxis),o(\"ContinuousAxis\",i(143).ContinuousAxis),o(\"DatetimeAxis\",i(144).DatetimeAxis),o(\"LinearAxis\",i(145).LinearAxis),o(\"LogAxis\",i(162).LogAxis),o(\"MercatorAxis\",i(165).MercatorAxis)},\n function _(t,e,i,s,a){s();const o=t(1);var l;const n=t(129),_=t(130),r=t(131),h=t(132),c=(0,o.__importStar)(t(48)),b=t(20),u=t(24),m=t(123),d=t(9),x=t(13),f=t(8),g=t(120),p=t(67),v=t(133),w=t(113),j=t(11),k=t(8),y=t(134),{abs:z}=Math;class M extends n.GuideRendererView{constructor(){super(...arguments),this._axis_label_view=null,this._major_label_views=new Map}async lazy_initialize(){await super.lazy_initialize(),await this._init_axis_label(),await this._init_major_labels()}async _init_axis_label(){const{axis_label:t}=this.model;if(null!=t){const e=(0,k.isString)(t)?(0,y.parse_delimited_string)(t):t;this._axis_label_view=await(0,w.build_view)(e,{parent:this})}else this._axis_label_view=null}async _init_major_labels(){const{major_label_overrides:t}=this.model;for(const[e,i]of(0,x.entries)(t)){const t=(0,k.isString)(i)?(0,y.parse_delimited_string)(i):i;this._major_label_views.set(e,await(0,w.build_view)(t,{parent:this}))}}update_layout(){this.layout=new m.SideLayout(this.panel,(()=>this.get_size()),!0),this.layout.on_resize((()=>this._coordinates=void 0))}get_size(){const{visible:t,fixed_location:e}=this.model;if(t&&null==e&&this.is_renderable){const{extents:t}=this;return{width:0,height:Math.round(t.tick+t.tick_label+t.axis_label)}}return{width:0,height:0}}get is_renderable(){const[t,e]=this.ranges;return t.is_valid&&e.is_valid}_render(){var t;if(!this.is_renderable)return;const{tick_coords:e,extents:i}=this,s=this.layer.ctx;s.save(),this._draw_rule(s,i),this._draw_major_ticks(s,i,e),this._draw_minor_ticks(s,i,e),this._draw_major_labels(s,i,e),this._draw_axis_label(s,i,e),null===(t=this._paint)||void 0===t||t.call(this,s,i,e),s.restore()}connect_signals(){super.connect_signals();const{axis_label:t,major_label_overrides:e}=this.model.properties;this.on_change(t,(async()=>{var t;null===(t=this._axis_label_view)||void 0===t||t.remove(),await this._init_axis_label()})),this.on_change(e,(async()=>{for(const t of this._major_label_views.values())t.remove();await this._init_major_labels()})),this.connect(this.model.change,(()=>this.plot_view.request_layout()))}get needs_clip(){return null!=this.model.fixed_location}_draw_rule(t,e){if(!this.visuals.axis_line.doit)return;const[i,s]=this.rule_coords,[a,o]=this.coordinates.map_to_screen(i,s),[l,n]=this.normals,[_,r]=this.offsets;this.visuals.axis_line.set_value(t),t.beginPath();for(let e=0;e0?s+i+3:0}_draw_axis_label(t,e,i){if(null==this._axis_label_view||null!=this.model.fixed_location)return;const[s,a]=(()=>{const{bbox:t}=this.layout;switch(this.panel.side){case\"above\":return[t.hcenter,t.bottom];case\"below\":return[t.hcenter,t.top];case\"left\":return[t.right,t.vcenter];case\"right\":return[t.left,t.vcenter]}})(),[o,l]=this.normals,n=e.tick+e.tick_label+this.model.axis_label_standoff,{vertical_align:_,align:r}=this.panel.get_label_text_heuristics(\"parallel\"),h={sx:s+o*n,sy:a+l*n,x_anchor:r,y_anchor:_},c=this._axis_label_view.graphics();c.visuals=this.visuals.axis_label_text.values(),c.angle=this.panel.get_label_angle_heuristic(\"parallel\"),this.plot_view.base_font_size&&(c.base_font_size=this.plot_view.base_font_size),c.position=h,c.align=r,c.paint(t)}_draw_ticks(t,e,i,s,a){if(!a.doit)return;const[o,l]=e,[n,_]=this.coordinates.map_to_screen(o,l),[r,h]=this.normals,[c,b]=this.offsets,[u,m]=[r*(c-i),h*(b-i)],[d,x]=[r*(c+s),h*(b+s)];a.set_value(t),t.beginPath();for(let e=0;et.bbox())),M=(()=>{const[t]=this.ranges;return t.is_reversed?0==this.dimension?(t,e)=>z[t].left-z[e].right:(t,e)=>z[e].top-z[t].bottom:0==this.dimension?(t,e)=>z[e].left-z[t].right:(t,e)=>z[t].top-z[e].bottom})(),{major_label_policy:O}=this.model,T=O.filter(k,z,M),A=[...T.ones()];if(0!=A.length){const t=this.parent.canvas_view.bbox,e=e=>{const i=z[e];if(i.left<0){const t=-i.left,{position:s}=y[e];y[e].position=Object.assign(Object.assign({},s),{sx:s.sx+t})}else if(i.right>t.width){const s=i.right-t.width,{position:a}=y[e];y[e].position=Object.assign(Object.assign({},a),{sx:a.sx-s})}},i=e=>{const i=z[e];if(i.top<0){const t=-i.top,{position:s}=y[e];y[e].position=Object.assign(Object.assign({},s),{sy:s.sy+t})}else if(i.bottom>t.height){const s=i.bottom-t.height,{position:a}=y[e];y[e].position=Object.assign(Object.assign({},a),{sy:a.sy-s})}},s=A[0],a=A[A.length-1];0==this.dimension?(e(s),e(a)):(i(s),i(a))}for(const e of T){y[e].paint(t)}}_tick_extent(){return this.model.major_tick_out}_tick_label_extents(){const t=this.tick_coords.major,e=this.compute_labels(t[this.dimension]),i=this.model.major_label_orientation,s=this.model.major_label_standoff,a=this.visuals.major_label_text;return[this._oriented_labels_extent(e,i,s,a)]}get extents(){const t=this._tick_label_extents();return{tick:this._tick_extent(),tick_labels:t,tick_label:(0,d.sum)(t),axis_label:this._axis_label_extent()}}_oriented_labels_extent(t,e,i,s){if(0==t.length||!s.doit)return 0;const a=this.panel.get_label_angle_heuristic(e);t.visuals=s.values(),t.angle=a,t.base_font_size=this.plot_view.base_font_size;const o=t.max_size(),l=0==this.dimension?o.height:o.width;return l>0?i+l+3:0}get normals(){return this.panel.normals}get dimension(){return this.panel.dimension}compute_labels(t){const e=this.model.formatter.format_graphics(t,this),{_major_label_views:i}=this,s=new Set;for(let a=0;az(l-n)?(t=r(_(a,o),l),s=_(r(a,o),n)):(t=_(a,o),s=r(a,o)),[t,s]}}get rule_coords(){const t=this.dimension,e=(t+1)%2,[i]=this.ranges,[s,a]=this.computed_bounds,o=[new Array(2),new Array(2)];return o[t][0]=Math.max(s,i.min),o[t][1]=Math.min(a,i.max),o[t][0]>o[t][1]&&(o[t][0]=o[t][1]=NaN),o[e][0]=this.loc,o[e][1]=this.loc,o}get tick_coords(){const t=this.dimension,e=(t+1)%2,[i]=this.ranges,[s,a]=this.computed_bounds,o=this.model.ticker.get_ticks(s,a,i,this.loc),l=o.major,n=o.minor,_=[[],[]],r=[[],[]],[h,c]=[i.min,i.max];for(let i=0;ic||(_[t].push(l[i]),_[e].push(this.loc));for(let i=0;ic||(r[t].push(n[i]),r[e].push(this.loc));return{major:_,minor:r}}get loc(){const{fixed_location:t}=this.model;if(null!=t){if((0,f.isNumber)(t))return t;const[,e]=this.ranges;if(e instanceof p.FactorRange)return e.synthetic(t);(0,j.unreachable)()}const[,e]=this.ranges;switch(this.panel.side){case\"left\":case\"below\":return e.start;case\"right\":case\"above\":return e.end}}serializable_state(){return Object.assign(Object.assign({},super.serializable_state()),{bbox:this.layout.bbox.box})}remove(){var t;null===(t=this._axis_label_view)||void 0===t||t.remove();for(const t of this._major_label_views.values())t.remove();super.remove()}has_finished(){if(!super.has_finished())return!1;if(null!=this._axis_label_view&&!this._axis_label_view.has_finished())return!1;for(const t of this._major_label_views.values())if(!t.has_finished())return!1;return!0}}i.AxisView=M,M.__name__=\"AxisView\";class O extends n.GuideRenderer{constructor(t){super(t)}}i.Axis=O,l=O,O.__name__=\"Axis\",l.prototype.default_view=M,l.mixins([[\"axis_\",c.Line],[\"major_tick_\",c.Line],[\"minor_tick_\",c.Line],[\"major_label_\",c.Text],[\"axis_label_\",c.Text]]),l.define((({Any:t,Int:e,Number:i,String:s,Ref:a,Dict:o,Tuple:l,Or:n,Nullable:c,Auto:u})=>({bounds:[n(l(i,i),u),\"auto\"],ticker:[a(_.Ticker)],formatter:[a(r.TickFormatter)],axis_label:[c(n(s,a(v.BaseText))),null],axis_label_standoff:[e,5],major_label_standoff:[e,5],major_label_orientation:[n(b.TickLabelOrientation,i),\"horizontal\"],major_label_overrides:[o(n(s,a(v.BaseText))),{}],major_label_policy:[a(h.LabelingPolicy),()=>new h.AllLabels],major_tick_in:[i,2],major_tick_out:[i,6],minor_tick_in:[i,0],minor_tick_out:[i,4],fixed_location:[c(n(i,t)),null]}))),l.override({axis_line_color:\"black\",major_tick_line_color:\"black\",minor_tick_line_color:\"black\",major_label_text_font_size:\"11px\",major_label_text_align:\"center\",major_label_text_baseline:\"alphabetic\",axis_label_text_font_size:\"13px\",axis_label_text_font_style:\"italic\"})},\n function _(e,r,d,n,i){var s;n();const _=e(41);class u extends _.RendererView{}d.GuideRendererView=u,u.__name__=\"GuideRendererView\";class c extends _.Renderer{constructor(e){super(e)}}d.GuideRenderer=c,s=c,c.__name__=\"GuideRenderer\",s.override({level:\"guide\"})},\n function _(c,e,n,s,o){s();const r=c(53);class t extends r.Model{constructor(c){super(c)}}n.Ticker=t,t.__name__=\"Ticker\"},\n function _(t,o,r,e,c){e();const n=t(53),a=t(120);class m extends n.Model{constructor(t){super(t)}format_graphics(t,o){return this.doFormat(t,o).map((t=>new a.TextBox({text:t})))}compute(t,o){return this.doFormat([t],null!=o?o:{loc:0})[0]}v_compute(t,o){return this.doFormat(t,null!=o?o:{loc:0})}}r.TickFormatter=m,m.__name__=\"TickFormatter\"},\n function _(e,n,s,t,i){var c,r;t();const l=e(53),o=e(13),a=e(34),u=e(8),d=e(24);class _ extends l.Model{constructor(e){super(e)}}s.LabelingPolicy=_,_.__name__=\"LabelingPolicy\";class f extends _{constructor(e){super(e)}filter(e,n,s){return e}}s.AllLabels=f,f.__name__=\"AllLabels\";class m extends _{constructor(e){super(e)}filter(e,n,s){const{min_distance:t}=this;let i=null;for(const n of e)null!=i&&s(i,n)({min_distance:[e,5]})));class b extends _{constructor(e){super(e)}get names(){return(0,o.keys)(this.args)}get values(){return(0,o.values)(this.args)}get func(){const e=(0,a.use_strict)(this.code);return new d.GeneratorFunction(\"indices\",\"bboxes\",\"distance\",...this.names,e)}filter(e,n,s){const t=Object.create(null),i=this.func.call(t,e,n,s,...this.values);let c=i.next();if(c.done&&void 0!==c.value){const{value:n}=c;return n instanceof d.Indices?n:void 0===n?e:(0,u.isIterable)(n)?d.Indices.from_indices(e.size,n):d.Indices.all_unset(e.size)}{const n=[];do{n.push(c.value),c=i.next()}while(!c.done);return d.Indices.from_indices(e.size,n)}}}s.CustomLabelingPolicy=b,r=b,b.__name__=\"CustomLabelingPolicy\",r.define((({Unknown:e,String:n,Dict:s})=>({args:[s(e),{}],code:[n,\"\"]})))},\n function _(e,s,t,n,a){var _;n();const x=e(53),c=e(42);class i extends c.View{}t.BaseTextView=i,i.__name__=\"BaseTextView\";class o extends x.Model{constructor(e){super(e)}}t.BaseText=o,_=o,o.__name__=\"BaseText\",_.define((({String:e})=>({text:[e]})))},\n function _(n,e,t,i,r){i();const s=n(135),l=n(139),d=[{start:\"$$\",end:\"$$\",inline:!1},{start:\"\\\\[\",end:\"\\\\]\",inline:!1},{start:\"\\\\(\",end:\"\\\\)\",inline:!0}];t.parse_delimited_string=function(n){for(const e of d){const t=n.indexOf(e.start),i=t+e.start.length;if(0==t){const t=n.indexOf(e.end,i),r=t;if(t==n.length-e.end.length)return new s.TeX({text:n.slice(i,r),inline:e.inline});break}}return new l.PlainText({text:n})}},\n function _(t,e,s,i,n){var o,r,a;i();const h=t(8),_=t(136),l=t(22),c=t(120),d=t(121),u=t(122),g=t(65),p=t(133),x=t(137);class m extends p.BaseTextView{constructor(){super(...arguments),this._position={sx:0,sy:0},this.align=\"left\",this._x_anchor=\"left\",this._y_anchor=\"center\",this._base_font_size=13,this.font_size_scale=1,this.svg_image=null}graphics(){return this}infer_text_height(){return\"ascent_descent\"}set base_font_size(t){null!=t&&(this._base_font_size=t)}get base_font_size(){return this._base_font_size}get has_image_loaded(){return null!=this.svg_image}_rect(){const{width:t,height:e}=this._size(),{x:s,y:i}=this._computed_position();return new g.BBox({x:s,y:i,width:t,height:e}).rect}set position(t){this._position=t}get position(){return this._position}get text(){return this.model.text}get provider(){return x.default_provider}async lazy_initialize(){await super.lazy_initialize(),\"not_started\"==this.provider.status&&await this.provider.fetch(),\"not_started\"!=this.provider.status&&\"loading\"!=this.provider.status||this.provider.ready.connect((()=>this.load_image())),\"loaded\"==this.provider.status&&await this.load_image()}connect_signals(){super.connect_signals(),this.on_change(this.model.properties.text,(()=>this.load_image()))}set visuals(t){const e=t.color,s=t.alpha,i=t.font_style;let n=t.font_size;const o=t.font,{font_size_scale:r,_base_font_size:a}=this,h=(0,d.parse_css_font_size)(n);if(null!=h){let{value:t,unit:e}=h;t*=r,\"em\"==e&&a&&(t*=a,e=\"px\"),n=`${t}${e}`}const _=`${i} ${n} ${o}`;this.font=_,this.color=(0,l.color2css)(e,s)}_computed_position(){const{width:t,height:e}=this._size(),{sx:s,sy:i,x_anchor:n=this._x_anchor,y_anchor:o=this._y_anchor}=this.position;return{x:s-(()=>{if((0,h.isNumber)(n))return n*t;switch(n){case\"left\":return 0;case\"center\":return.5*t;case\"right\":return t}})(),y:i-(()=>{if((0,h.isNumber)(o))return o*e;switch(o){case\"top\":return 0;case\"center\":return.5*e;case\"bottom\":return e;case\"baseline\":return.5*e}})()}}size(){const{width:t,height:e}=this._size(),{angle:s}=this;if(s){const i=Math.cos(Math.abs(s)),n=Math.sin(Math.abs(s));return{width:Math.abs(t*i+e*n),height:Math.abs(t*n+e*i)}}return{width:t,height:e}}get_text_dimensions(){return{width:(0,c.text_width)(this.model.text,this.font),height:(0,d.font_metrics)(this.font).height}}get_image_dimensions(){var t,e,s,i;const n=parseFloat(null!==(e=null===(t=this.svg_element.getAttribute(\"height\"))||void 0===t?void 0:t.replace(/([A-z])/g,\"\"))&&void 0!==e?e:\"0\"),o=parseFloat(null!==(i=null===(s=this.svg_element.getAttribute(\"width\"))||void 0===s?void 0:s.replace(/([A-z])/g,\"\"))&&void 0!==i?i:\"0\");return{width:(0,d.font_metrics)(this.font).x_height*o,height:(0,d.font_metrics)(this.font).x_height*n}}_size(){return this.has_image_loaded?this.get_image_dimensions():this.get_text_dimensions()}bbox(){const{p0:t,p1:e,p2:s,p3:i}=this.rect(),n=Math.min(t.x,e.x,s.x,i.x),o=Math.min(t.y,e.y,s.y,i.y),r=Math.max(t.x,e.x,s.x,i.x),a=Math.max(t.y,e.y,s.y,i.y);return new g.BBox({left:n,right:r,top:o,bottom:a})}rect(){const t=this._rect(),{angle:e}=this;if(e){const{sx:s,sy:i}=this.position,n=new u.AffineTransform;return n.translate(s,i),n.rotate(e),n.translate(-s,-i),n.apply_rect(t)}return t}paint_rect(t){const{p0:e,p1:s,p2:i,p3:n}=this.rect();t.save(),t.strokeStyle=\"red\",t.lineWidth=1,t.beginPath();const{round:o}=Math;t.moveTo(o(e.x),o(e.y)),t.lineTo(o(s.x),o(s.y)),t.lineTo(o(i.x),o(i.y)),t.lineTo(o(n.x),o(n.y)),t.closePath(),t.stroke(),t.restore()}paint_bbox(t){const{x:e,y:s,width:i,height:n}=this.bbox();t.save(),t.strokeStyle=\"blue\",t.lineWidth=1,t.beginPath();const{round:o}=Math;t.moveTo(o(e),o(s)),t.lineTo(o(e),o(s+n)),t.lineTo(o(e+i),o(s+n)),t.lineTo(o(e+i),o(s)),t.closePath(),t.stroke(),t.restore()}async load_image(){if(null==this.provider.MathJax)return null;const t=this._process_text(this.model.text);if(null==t)return this._has_finished=!0,null;const e=t.children[0];this.svg_element=e,e.setAttribute(\"font\",this.font),e.setAttribute(\"stroke\",this.color);const s=e.outerHTML,i=new Blob([s],{type:\"image/svg+xml\"}),n=URL.createObjectURL(i);try{this.svg_image=await(0,_.load_image)(n)}finally{URL.revokeObjectURL(n)}return this.parent.request_layout(),this.svg_image}paint(t){t.save();const{sx:e,sy:s}=this.position;this.angle&&(t.translate(e,s),t.rotate(this.angle),t.translate(-e,-s));const{x:i,y:n}=this._computed_position();if(null!=this.svg_image){const{width:e,height:s}=this.get_image_dimensions();t.drawImage(this.svg_image,i,n,e,s)}else t.fillStyle=this.color,t.font=this.font,t.textAlign=\"left\",t.textBaseline=\"alphabetic\",t.fillText(this.model.text,i,n+(0,d.font_metrics)(this.font).ascent);t.restore(),this._has_finished||\"failed\"!=this.provider.status&&!this.has_image_loaded||(this._has_finished=!0,this.parent.notify_finished_after_paint())}}s.MathTextView=m,m.__name__=\"MathTextView\";class f extends p.BaseText{constructor(t){super(t)}}s.MathText=f,f.__name__=\"MathText\";class v extends m{_process_text(t){}}s.AsciiView=v,v.__name__=\"AsciiView\";class y extends f{constructor(t){super(t)}}s.Ascii=y,o=y,y.__name__=\"Ascii\",o.prototype.default_view=v;class w extends m{_process_text(t){var e;return null===(e=this.provider.MathJax)||void 0===e?void 0:e.mathml2svg(t.trim())}}s.MathMLView=w,w.__name__=\"MathMLView\";class b extends f{constructor(t){super(t)}}s.MathML=b,r=b,b.__name__=\"MathML\",r.prototype.default_view=w;class M extends m{_process_text(t){var e;return null===(e=this.provider.MathJax)||void 0===e?void 0:e.tex2svg(t,void 0,this.model.macros)}}s.TeXView=M,M.__name__=\"TeXView\";class T extends f{constructor(t){super(t)}}s.TeX=T,a=T,T.__name__=\"TeX\",a.prototype.default_view=M,a.define((({Boolean:t,Number:e,String:s,Dict:i,Tuple:n,Or:o})=>({macros:[i(o(s,n(s,e))),{}],inline:[t,!1]})))},\n function _(i,e,t,s,o){s();const a=i(19);t.load_image=async function(i,e){return new n(i,e).promise};class n{constructor(i,e={}){this._image=new Image,this._finished=!1;const{attempts:t=1,timeout:s=1}=e;this.promise=new Promise(((o,n)=>{this._image.crossOrigin=\"anonymous\";let r=0;this._image.onerror=()=>{if(++r==t){const s=`unable to load ${i} image after ${t} 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N(t){return new Date(t.getTime())}function O(t){const n=N(t);return n.setUTCDate(1),n.setUTCHours(0),n.setUTCMinutes(0),n.setUTCSeconds(0),n.setUTCMilliseconds(0),n}_(),e.ONE_MILLI=1,e.ONE_SECOND=1e3,e.ONE_MINUTE=60*e.ONE_SECOND,e.ONE_HOUR=60*e.ONE_MINUTE,e.ONE_DAY=24*e.ONE_HOUR,e.ONE_MONTH=30*e.ONE_DAY,e.ONE_YEAR=365*e.ONE_DAY,e.copy_date=N,e.last_month_no_later_than=O,e.last_year_no_later_than=function(t){const n=O(t);return n.setUTCMonth(0),n}},\n function _(t,e,n,a,r){var s;a();const i=t(158),o=t(159),l=t(9);class _ extends i.SingleIntervalTicker{constructor(t){super(t)}initialize(){super.initialize();const t=this.months;t.length>1?this.interval=(t[1]-t[0])*o.ONE_MONTH:this.interval=12*o.ONE_MONTH}get_ticks_no_defaults(t,e,n,a){const r=function(t,e){const n=(0,o.last_year_no_later_than)(new Date(t)),a=(0,o.last_year_no_later_than)(new Date(e));a.setUTCFullYear(a.getUTCFullYear()+1);const r=[],s=n;for(;r.push((0,o.copy_date)(s)),s.setUTCFullYear(s.getUTCFullYear()+1),!(s>a););return r}(t,e),s=this.months;return{major:(0,l.concat)(r.map((t=>s.map((e=>{const n=(0,o.copy_date)(t);return n.setUTCMonth(e),n}))))).map((t=>t.getTime())).filter((n=>t<=n&&n<=e)),minor:[]}}}n.MonthsTicker=_,s=_,_.__name__=\"MonthsTicker\",s.define((({Int:t,Array:e})=>({months:[e(t),[]]})))},\n function _(e,t,a,i,r){i();const n=e(147),_=e(158),s=e(159);class c extends _.SingleIntervalTicker{constructor(e){super(e)}initialize(){super.initialize(),this.interval=s.ONE_YEAR,this.basic_ticker=new n.BasicTicker({num_minor_ticks:0})}get_ticks_no_defaults(e,t,a,i){const r=(0,s.last_year_no_later_than)(new Date(e)).getUTCFullYear(),n=(0,s.last_year_no_later_than)(new Date(t)).getUTCFullYear();return{major:this.basic_ticker.get_ticks_no_defaults(r,n,a,i).major.map((e=>Date.UTC(e,0,1))).filter((a=>e<=a&&a<=t)),minor:[]}}}a.YearsTicker=c,c.__name__=\"YearsTicker\"},\n function _(e,o,i,s,t){var n;s();const r=e(143),_=e(163),c=e(164);class a extends r.ContinuousAxisView{}i.LogAxisView=a,a.__name__=\"LogAxisView\";class u extends r.ContinuousAxis{constructor(e){super(e)}}i.LogAxis=u,n=u,u.__name__=\"LogAxis\",n.prototype.default_view=a,n.override({ticker:()=>new c.LogTicker,formatter:()=>new _.LogTickFormatter})},\n function _(e,t,n,o,r){var i;o();const a=e(131),s=e(146),c=e(164),l=e(120),{abs:u,log:x,round:_}=Math;class p extends a.TickFormatter{constructor(e){super(e)}initialize(){super.initialize(),this.basic_formatter=new s.BasicTickFormatter}format_graphics(e,t){var n,o;if(0==e.length)return[];const r=null!==(o=null===(n=this.ticker)||void 0===n?void 0:n.base)&&void 0!==o?o:10,i=this._exponents(e,r);return null==i?this.basic_formatter.format_graphics(e,t):i.map((e=>{if(u(e)u(e)({ticker:[n(t(c.LogTicker)),null],min_exponent:[e,0]})))},\n function _(t,o,e,s,n){var r;s();const i=t(148),a=t(9);class c extends i.AdaptiveTicker{constructor(t){super(t)}get_ticks_no_defaults(t,o,e,s){const n=this.num_minor_ticks,r=[],i=this.base,c=Math.log(t)/Math.log(i),f=Math.log(o)/Math.log(i),l=f-c;let h;if(isFinite(l))if(l<2){const e=this.get_interval(t,o,s),i=Math.floor(t/e),c=Math.ceil(o/e);if(h=(0,a.range)(i,c+1).filter((t=>0!=t)).map((t=>t*e)).filter((e=>t<=e&&e<=o)),n>0&&h.length>0){const t=e/n,o=(0,a.range)(0,n).map((o=>o*t));for(const t of o.slice(1))r.push(h[0]-t);for(const t of h)for(const e of o)r.push(t+e)}}else{const t=Math.ceil(.999999*c),o=Math.floor(1.000001*f),e=Math.ceil((o-t)/9);if(h=(0,a.range)(t-1,o+1,e).map((t=>i**t)),n>0&&h.length>0){const t=i**e/n,o=(0,a.range)(1,n+1).map((o=>o*t));for(const t of o)r.push(h[0]/t);r.push(h[0]);for(const t of h)for(const e of o)r.push(t*e)}}else h=[];return{major:h.filter((e=>t<=e&&e<=o)),minor:r.filter((e=>t<=e&&e<=o))}}}e.LogTicker=c,r=c,c.__name__=\"LogTicker\",r.override({mantissas:[1,5]})},\n function _(e,r,t,i,a){var o;i();const s=e(128),c=e(145),n=e(166),_=e(167);class x extends s.AxisView{}t.MercatorAxisView=x,x.__name__=\"MercatorAxisView\";class d extends c.LinearAxis{constructor(e){super(e)}}t.MercatorAxis=d,o=d,d.__name__=\"MercatorAxis\",o.prototype.default_view=x,o.override({ticker:()=>new _.MercatorTicker({dimension:\"lat\"}),formatter:()=>new n.MercatorTickFormatter({dimension:\"lat\"})})},\n function _(r,t,e,o,n){var i;o();const c=r(146),s=r(20),a=r(78);class l extends c.BasicTickFormatter{constructor(r){super(r)}doFormat(r,t){if(null==this.dimension)throw new Error(\"MercatorTickFormatter.dimension not configured\");if(0==r.length)return[];const e=r.length,o=new Array(e);if(\"lon\"==this.dimension)for(let n=0;n({dimension:[r(s.LatLon),null]})))},\n function _(t,o,n,s,r){var e;s();const i=t(147),c=t(20),_=t(78);class a extends i.BasicTicker{constructor(t){super(t)}get_ticks_no_defaults(t,o,n,s){if(null==this.dimension)throw new Error(`${this}.dimension wasn't configured`);return[t,o]=(0,_.clip_mercator)(t,o,this.dimension),\"lon\"==this.dimension?this._get_ticks_lon(t,o,n,s):this._get_ticks_lat(t,o,n,s)}_get_ticks_lon(t,o,n,s){const[r]=_.wgs84_mercator.invert(t,n),[e,i]=_.wgs84_mercator.invert(o,n),c=super.get_ticks_no_defaults(r,e,n,s),a=[];for(const t of c.major)if((0,_.in_bounds)(t,\"lon\")){const[o]=_.wgs84_mercator.compute(t,i);a.push(o)}const m=[];for(const t of c.minor)if((0,_.in_bounds)(t,\"lon\")){const[o]=_.wgs84_mercator.compute(t,i);m.push(o)}return{major:a,minor:m}}_get_ticks_lat(t,o,n,s){const[,r]=_.wgs84_mercator.invert(n,t),[e,i]=_.wgs84_mercator.invert(n,o),c=super.get_ticks_no_defaults(r,i,n,s),a=[];for(const t of c.major)if((0,_.in_bounds)(t,\"lat\")){const[,o]=_.wgs84_mercator.compute(e,t);a.push(o)}const m=[];for(const t of c.minor)if((0,_.in_bounds)(t,\"lat\")){const[,o]=_.wgs84_mercator.compute(e,t);m.push(o)}return{major:a,minor:m}}}n.MercatorTicker=a,e=a,a.__name__=\"MercatorTicker\",e.define((({Nullable:t})=>({dimension:[t(c.LatLon),null]})))},\n function _(e,i,r,c,k){c(),k(\"AdaptiveTicker\",e(148).AdaptiveTicker),k(\"BasicTicker\",e(147).BasicTicker),k(\"CategoricalTicker\",e(141).CategoricalTicker),k(\"CompositeTicker\",e(156).CompositeTicker),k(\"ContinuousTicker\",e(149).ContinuousTicker),k(\"DatetimeTicker\",e(155).DatetimeTicker),k(\"DaysTicker\",e(157).DaysTicker),k(\"FixedTicker\",e(169).FixedTicker),k(\"LogTicker\",e(164).LogTicker),k(\"MercatorTicker\",e(167).MercatorTicker),k(\"MonthsTicker\",e(160).MonthsTicker),k(\"SingleIntervalTicker\",e(158).SingleIntervalTicker),k(\"Ticker\",e(130).Ticker),k(\"YearsTicker\",e(161).YearsTicker),k(\"BinnedTicker\",e(170).BinnedTicker)},\n function _(r,t,e,i,n){var s;i();const _=r(149);class c extends _.ContinuousTicker{constructor(r){super(r)}get_ticks_no_defaults(r,t,e,i){return{major:this.ticks,minor:this.minor_ticks}}get_interval(r,t,e){return 0}get_min_interval(){return 0}get_max_interval(){return 0}}e.FixedTicker=c,s=c,c.__name__=\"FixedTicker\",s.define((({Number:r,Array:t})=>({ticks:[t(r),[]],minor_ticks:[t(r),[]]})))},\n function _(e,n,t,r,i){var o;r();const a=e(130),s=e(171),c=e(12);class m extends a.Ticker{constructor(e){super(e)}get_ticks(e,n,t,r){const{binning:i}=this.mapper.metrics,o=Math.max(0,(0,c.left_edge_index)(e,i)),a=Math.min((0,c.left_edge_index)(n,i)+1,i.length-1),s=[];for(let e=o;e<=a;e++)s.push(i[e]);const{num_major_ticks:m}=this,_=[],h=\"auto\"==m?s.length:m,l=Math.max(1,Math.floor(s.length/h));for(let e=0;e({mapper:[n(s.ScanningColorMapper)],num_major_ticks:[t(e,r),8]})))},\n function _(n,e,i,r,o){r();const t=n(172),a=n(12);class c extends t.ContinuousColorMapper{constructor(n){super(n)}cmap(n,e,i,r,o){if(no.binning[o.binning.length-1])return r;return e[(0,a.left_edge_index)(n,o.binning)]}}i.ScanningColorMapper=c,c.__name__=\"ScanningColorMapper\"},\n function _(t,e,o,n,s){var l;n();const c=t(173),i=t(175),a=t(9),h=t(8);class r extends c.ColorMapper{constructor(t){super(t),this._scan_data=null}connect_signals(){super.connect_signals();const t=()=>{for(const[t]of this.domain)this.connect(t.view.change,(()=>this.update_data())),this.connect(t.data_source.selected.change,(()=>this.update_data()))};this.connect(this.properties.domain.change,(()=>t())),t()}update_data(){const{domain:t,palette:e}=this,o=[...this._collect(t)];this._scan_data=this.scan(o,e.length),this.metrics_change.emit(),this.change.emit()}get metrics(){return null==this._scan_data&&this.update_data(),this._scan_data}*_collect(t){for(const[e,o]of t)for(const t of(0,h.isArray)(o)?o:[o]){let o=e.data_source.get_column(t);o=e.view.indices.select(o);const n=e.view.masked,s=e.data_source.selected.indices;let l;if(null!=n&&s.length>0?l=(0,a.intersection)([...n],s):null!=n?l=[...n]:s.length>0&&(l=s),null!=l&&(o=(0,a.map)(l,(t=>o[t]))),o.length>0&&!(0,h.isNumber)(o[0]))for(const t of o)yield*t;else yield*o}}_v_compute(t,e,o,n){const{nan_color:s}=n;let{low_color:l,high_color:c}=n;null==l&&(l=o[0]),null==c&&(c=o[o.length-1]);const{domain:i}=this,h=(0,a.is_empty)(i)?t:[...this._collect(i)];this._scan_data=this.scan(h,o.length),this.metrics_change.emit();for(let n=0,i=t.length;n({high:[a(t),null],low:[a(t),null],high_color:[a(n),null],low_color:[a(n),null],domain:[c(l(o(i.GlyphRenderer),s(e,c(e)))),[]]})))},\n function _(e,r,t,n,o){var a;n();const c=e(174),i=e(15),_=e(24),l=e(22),s=e(27);function p(e){return(0,l.encode_rgba)((0,l.color2rgba)(e))}function u(e){const r=new Uint32Array(e.length);for(let t=0,n=e.length;te))),r}get rgba_mapper(){const e=this,r=u(this.palette),t=this._colors(p);return{v_compute(n){const o=new _.ColorArray(n.length);return e._v_compute(n,o,r,t),new Uint8ClampedArray((0,s.to_big_endian)(o).buffer)}}}_colors(e){return{nan_color:e(this.nan_color)}}}t.ColorMapper=h,a=h,h.__name__=\"ColorMapper\",a.define((({Color:e,Array:r})=>({palette:[r(e)],nan_color:[e,\"gray\"]})))},\n function _(r,e,n,s,o){s();const p=r(56);class t extends p.Transform{constructor(r){super(r)}compute(r){throw new Error(\"mapping single values is not supported\")}}n.Mapper=t,t.__name__=\"Mapper\"},\n function _(e,t,i,s,l){var h;s();const n=e(176),o=e(177),a=e(186),c=e(187),_=e(189),r=e(179),d=e(70),p=e(190),g=e(24),u=e(12),y=e(13),m=e(113),v=e(67),f={fill:{},line:{}},w={fill:{fill_alpha:.3,fill_color:\"grey\"},line:{line_alpha:.3,line_color:\"grey\"}},b={fill:{fill_alpha:.2},line:{}},V={fill:{fill_alpha:.2},line:{}};class x extends n.DataRendererView{get glyph_view(){return this.glyph}async lazy_initialize(){var e;await super.lazy_initialize();const t=this.model.glyph;this.glyph=await this.build_glyph_view(t);const i=\"fill\"in this.glyph.visuals,s=\"line\"in this.glyph.visuals,l=Object.assign({},t.attributes);function h(e){const h=(0,y.clone)(l);return i&&(0,y.extend)(h,e.fill),s&&(0,y.extend)(h,e.line),new t.constructor(h)}function n(e,t){return t instanceof r.Glyph?t:h(\"auto\"==t?e:{fill:{},line:{}})}delete l.id;let{selection_glyph:o,nonselection_glyph:a,hover_glyph:c,muted_glyph:_}=this.model;o=n(f,o),this.selection_glyph=await this.build_glyph_view(o),a=n(b,a),this.nonselection_glyph=await this.build_glyph_view(a),null!=c&&(this.hover_glyph=await this.build_glyph_view(c)),_=n(V,_),this.muted_glyph=await this.build_glyph_view(_);const d=n(w,\"auto\");this.decimated_glyph=await this.build_glyph_view(d),this.selection_glyph.set_base(this.glyph),this.nonselection_glyph.set_base(this.glyph),null===(e=this.hover_glyph)||void 0===e||e.set_base(this.glyph),this.muted_glyph.set_base(this.glyph),this.decimated_glyph.set_base(this.glyph),this.set_data()}async build_glyph_view(e){return(0,m.build_view)(e,{parent:this})}remove(){var e;this.glyph.remove(),this.selection_glyph.remove(),this.nonselection_glyph.remove(),null===(e=this.hover_glyph)||void 0===e||e.remove(),this.muted_glyph.remove(),this.decimated_glyph.remove(),super.remove()}connect_signals(){super.connect_signals();const e=()=>this.request_render(),t=()=>this.update_data();this.connect(this.model.change,e),this.connect(this.glyph.model.change,t),this.connect(this.selection_glyph.model.change,t),this.connect(this.nonselection_glyph.model.change,t),null!=this.hover_glyph&&this.connect(this.hover_glyph.model.change,t),this.connect(this.muted_glyph.model.change,t),this.connect(this.decimated_glyph.model.change,t),this.connect(this.model.data_source.change,t),this.connect(this.model.data_source.streaming,t),this.connect(this.model.data_source.patching,(e=>this.update_data(e))),this.connect(this.model.data_source.selected.change,e),this.connect(this.model.data_source._select,e),null!=this.hover_glyph&&this.connect(this.model.data_source.inspect,e),this.connect(this.model.properties.view.change,t),this.connect(this.model.view.properties.indices.change,t),this.connect(this.model.view.properties.masked.change,(()=>this.set_visuals())),this.connect(this.model.properties.visible.change,(()=>this.plot_view.invalidate_dataranges=!0));const{x_ranges:i,y_ranges:s}=this.plot_view.frame;for(const[,e]of i)e instanceof v.FactorRange&&this.connect(e.change,t);for(const[,e]of s)e instanceof v.FactorRange&&this.connect(e.change,t);const{transformchange:l,exprchange:h}=this.model.glyph;this.connect(l,t),this.connect(h,t)}_update_masked_indices(){const e=this.glyph.mask_data();return this.model.view.masked=e,e}update_data(e){this.set_data(e),this.request_render()}set_data(e){const t=this.model.data_source;this.all_indices=this.model.view.indices;const{all_indices:i}=this;this.glyph.set_data(t,i,e),this.set_visuals(),this._update_masked_indices();const{lod_factor:s}=this.plot_model,l=this.all_indices.count;this.decimated=new g.Indices(l);for(let e=0;e!n||n.is_empty()?[]:n.selected_glyph?this.model.view.convert_indices_from_subset(i):n.indices.length>0?n.indices:Object.keys(n.multiline_indices).map((e=>parseInt(e))))()),d=(0,u.filter)(i,(e=>r.has(t[e]))),{lod_threshold:p}=this.plot_model;let g,y,m;if(null!=this.model.document&&this.model.document.interactive_duration()>0&&!e&&null!=p&&t.length>p?(i=[...this.decimated],g=this.decimated_glyph,y=this.decimated_glyph,m=this.selection_glyph):(g=this.model.muted?this.muted_glyph:this.glyph,y=this.nonselection_glyph,m=this.selection_glyph),null!=this.hover_glyph&&d.length){const e=new Set(i);for(const t of d)e.delete(t);i=[...e]}if(h.length){const e={};for(const t of h)e[t]=!0;const l=new Array,n=new Array;if(this.glyph instanceof o.LineView)for(const i of t)null!=e[i]?l.push(i):n.push(i);else for(const s of i)null!=e[t[s]]?l.push(s):n.push(s);y.render(s,n),m.render(s,l),null!=this.hover_glyph&&(this.glyph instanceof o.LineView?this.hover_glyph.render(s,this.model.view.convert_indices_from_subset(d)):this.hover_glyph.render(s,d))}else if(this.glyph instanceof o.LineView)this.hover_glyph&&d.length?this.hover_glyph.render(s,this.model.view.convert_indices_from_subset(d)):g.render(s,t);else if(this.glyph instanceof a.PatchView||this.glyph instanceof c.HAreaView||this.glyph instanceof _.VAreaView)if(0==n.selected_glyphs.length||null==this.hover_glyph)g.render(s,t);else for(const e of n.selected_glyphs)e==this.glyph.model&&this.hover_glyph.render(s,t);else g.render(s,i),this.hover_glyph&&d.length&&this.hover_glyph.render(s,d);s.restore()}draw_legend(e,t,i,s,l,h,n,o){0!=this.glyph.data_size&&(null==o&&(o=this.model.get_reference_point(h,n)),this.glyph.draw_legend_for_index(e,{x0:t,x1:i,y0:s,y1:l},o))}hit_test(e){if(!this.model.visible)return null;const t=this.glyph.hit_test(e);return null==t?null:this.model.view.convert_selection_from_subset(t)}}i.GlyphRendererView=x,x.__name__=\"GlyphRendererView\";class G extends n.DataRenderer{constructor(e){super(e)}initialize(){super.initialize(),this.view.source!=this.data_source&&(this.view.source=this.data_source,this.view.compute_indices())}get_reference_point(e,t){if(null!=e){const i=this.data_source.get_column(e);if(null!=i)for(const[e,s]of Object.entries(this.view.indices_map))if(i[parseInt(e)]==t)return s}return 0}get_selection_manager(){return this.data_source.selection_manager}}i.GlyphRenderer=G,h=G,G.__name__=\"GlyphRenderer\",h.prototype.default_view=x,h.define((({Boolean:e,Auto:t,Or:i,Ref:s,Null:l,Nullable:h})=>({data_source:[s(d.ColumnarDataSource)],view:[s(p.CDSView),e=>new p.CDSView({source:e.data_source})],glyph:[s(r.Glyph)],hover_glyph:[h(s(r.Glyph)),null],nonselection_glyph:[i(s(r.Glyph),t,l),\"auto\"],selection_glyph:[i(s(r.Glyph),t,l),\"auto\"],muted_glyph:[i(s(r.Glyph),t,l),\"auto\"],muted:[e,!1]})))},\n function _(e,r,t,a,n){var s;a();const c=e(41);class _ extends c.RendererView{get xscale(){return this.coordinates.x_scale}get yscale(){return this.coordinates.y_scale}}t.DataRendererView=_,_.__name__=\"DataRendererView\";class i extends c.Renderer{constructor(e){super(e)}get selection_manager(){return this.get_selection_manager()}}t.DataRenderer=i,s=i,i.__name__=\"DataRenderer\",s.override({level:\"glyph\"})},\n function _(e,t,i,s,n){s();const l=e(1);var _;const r=e(178),o=e(184),a=(0,l.__importStar)(e(48)),h=(0,l.__importStar)(e(185)),c=e(72);class d extends r.XYGlyphView{async lazy_initialize(){await super.lazy_initialize();const{webgl:t}=this.renderer.plot_view.canvas_view;if(null==t?void 0:t.regl_wrapper.has_webgl){const{LineGL:i}=await Promise.resolve().then((()=>(0,l.__importStar)(e(426))));this.glglyph=new i(t.regl_wrapper,this)}}_render(e,t,i){const{sx:s,sy:n}=null!=i?i:this;let l=null;const _=e=>null!=l&&e-l!=1;let r=!0;e.beginPath();for(const i of t){const t=s[i],o=n[i];isFinite(t+o)?r||_(i)?(e.moveTo(t,o),r=!1):e.lineTo(t,o):r=!0,l=i}this.visuals.line.set_value(e),e.stroke()}_hit_point(e){const t=new c.Selection,i={x:e.sx,y:e.sy};let s=9999;const n=Math.max(2,this.line_width.value/2);for(let e=0,l=this.sx.length-1;e({x:[c.XCoordinateSpec,{field:\"x\"}],y:[c.YCoordinateSpec,{field:\"y\"}]})))},\n function _(e,t,s,i,n){i();const r=e(1),a=(0,r.__importStar)(e(18)),o=(0,r.__importStar)(e(65)),_=(0,r.__importStar)(e(45)),l=e(42),c=e(53),h=e(19),d=e(24),u=e(8),f=e(180),p=e(12),g=e(26),y=e(181),x=e(67),v=e(72),{abs:b,ceil:m}=Math;class w extends l.View{constructor(){super(...arguments),this._index=null,this._data_size=null,this._nohit_warned=new Set}get renderer(){return this.parent}get has_webgl(){return null!=this.glglyph}get index(){const{_index:e}=this;if(null!=e)return e;throw new Error(`${this}.index_data() wasn't called`)}get data_size(){const{_data_size:e}=this;if(null!=e)return e;throw new Error(`${this}.set_data() wasn't called`)}initialize(){super.initialize(),this.visuals=new _.Visuals(this)}request_render(){this.parent.request_render()}get canvas(){return this.renderer.parent.canvas_view}render(e,t,s){var i;null!=this.glglyph&&(this.renderer.needs_webgl_blit=this.glglyph.render(e,t,null!==(i=this.base)&&void 0!==i?i:this),this.renderer.needs_webgl_blit)||this._render(e,t,null!=s?s:this.base)}has_finished(){return!0}notify_finished(){this.renderer.notify_finished()}_bounds(e){return e}bounds(){return this._bounds(this.index.bbox)}log_bounds(){const{x0:e,x1:t}=this.index.bounds(o.positive_x()),{y0:s,y1:i}=this.index.bounds(o.positive_y());return this._bounds({x0:e,y0:s,x1:t,y1:i})}get_anchor_point(e,t,[s,i]){switch(e){case\"center\":case\"center_center\":{const[e,n]=this.scenterxy(t,s,i);return{x:e,y:n}}default:return null}}scenterx(e,t,s){return this.scenterxy(e,t,s)[0]}scentery(e,t,s){return this.scenterxy(e,t,s)[1]}sdist(e,t,s,i=\"edge\",n=!1){const r=t.length,a=new d.ScreenArray(r),o=e.s_compute;if(\"center\"==i)for(let e=0;em(e))),a}draw_legend_for_index(e,t,s){}hit_test(e){switch(e.type){case\"point\":if(null!=this._hit_point)return this._hit_point(e);break;case\"span\":if(null!=this._hit_span)return this._hit_span(e);break;case\"rect\":if(null!=this._hit_rect)return this._hit_rect(e);break;case\"poly\":if(null!=this._hit_poly)return this._hit_poly(e)}return this._nohit_warned.has(e.type)||(h.logger.debug(`'${e.type}' selection not available for ${this.model.type}`),this._nohit_warned.add(e.type)),null}_hit_rect_against_index(e){const{sx0:t,sx1:s,sy0:i,sy1:n}=e,[r,a]=this.renderer.coordinates.x_scale.r_invert(t,s),[o,_]=this.renderer.coordinates.y_scale.r_invert(i,n),l=[...this.index.indices({x0:r,x1:a,y0:o,y1:_})];return new v.Selection({indices:l})}_project_data(){}*_iter_visuals(){for(const e of this.visuals)for(const t of e)(t instanceof a.VectorSpec||t instanceof a.ScalarSpec)&&(yield t)}set_base(e){e!=this&&e instanceof this.constructor&&(this.base=e)}_configure(e,t){Object.defineProperty(this,(0,u.isString)(e)?e:e.attr,Object.assign({configurable:!0,enumerable:!0},t))}set_visuals(e,t){var s;for(const s of this._iter_visuals()){const{base:i}=this;if(null!=i){const e=i.model.properties[s.attr];if(null!=e&&(0,g.is_equal)(s.get_value(),e.get_value())){this._configure(s,{get:()=>i[`${s.attr}`]});continue}}const n=s.uniform(e).select(t);this._configure(s,{value:n})}for(const e of this.visuals)e.update();null===(s=this.glglyph)||void 0===s||s.set_visuals_changed()}set_data(e,t,s){var i;const{x_source:n,y_source:r}=this.renderer.coordinates,o=new Set(this._iter_visuals());this._data_size=t.count;for(const s of this.model)if((s instanceof a.VectorSpec||s instanceof a.ScalarSpec)&&!o.has(s))if(s instanceof a.BaseCoordinateSpec){const i=s.array(e);let o=t.select(i);const _=\"x\"==s.dimension?n:r;if(_ instanceof x.FactorRange)if(s instanceof a.CoordinateSpec)o=_.v_synthetic(o);else if(s instanceof a.CoordinateSeqSpec)for(let e=0;e{const s=new Uint32Array(r);for(let a=0;a>1;t[s]>i?e=s:n=s+1}return t[n]}class r extends d.default{get boxes(){return this._boxes}search_indices(i,t,n,e){if(this._pos!==this._boxes.length)throw new Error(\"Data not yet indexed - call index.finish().\");let s=this._boxes.length-4;const d=[],x=new o.Indices(this.numItems);for(;void 0!==s;){const o=Math.min(s+4*this.nodeSize,h(s,this._levelBounds));for(let h=s;h>2],r=this._boxes[h+0],l=this._boxes[h+1],a=this._boxes[h+2],_=this._boxes[h+3];na||t>_||(s<4*this.numItems?x.set(o):d.push(o)))}s=d.pop()}return x}}r.__name__=\"_FlatBush\";class l{constructor(i){this.index=null,i>0&&(this.index=new r(i))}add_rect(i,t,n,e){var s;isFinite(i+t+n+e)?null===(s=this.index)||void 0===s||s.add(i,t,n,e):this.add_empty()}add_point(i,t){var n;isFinite(i+t)?null===(n=this.index)||void 0===n||n.add(i,t,i,t):this.add_empty()}add_empty(){var i;null===(i=this.index)||void 0===i||i.add(1/0,1/0,-1/0,-1/0)}finish(){var i;null===(i=this.index)||void 0===i||i.finish()}_normalize(i){let{x0:t,y0:n,x1:e,y1:s}=i;return t>e&&([t,e]=[e,t]),n>s&&([n,s]=[s,n]),{x0:t,y0:n,x1:e,y1:s}}get bbox(){if(null==this.index)return(0,x.empty)();{const{minX:i,minY:t,maxX:n,maxY:e}=this.index;return{x0:i,y0:t,x1:n,y1:e}}}indices(i){if(null==this.index)return new o.Indices(0);{const{x0:t,y0:n,x1:e,y1:s}=this._normalize(i);return this.index.search_indices(t,n,e,s)}}bounds(i){const t=(0,x.empty)();if(null==this.index)return t;const{boxes:n}=this.index;for(const e of this.indices(i)){const s=n[4*e+0],d=n[4*e+1],o=n[4*e+2],x=n[4*e+3];s>=i.x0&&st.x1&&(t.x1=o),d>=i.y0&&dt.y1&&(t.y1=x)}return t}}n.SpatialIndex=l,l.__name__=\"SpatialIndex\"},\n function _(t,s,i,e,h){e();const n=(0,t(1).__importDefault)(t(183)),o=[Int8Array,Uint8Array,Uint8ClampedArray,Int16Array,Uint16Array,Int32Array,Uint32Array,Float32Array,Float64Array];class r{static from(t){if(!(t instanceof ArrayBuffer))throw new Error(\"Data must be an instance of ArrayBuffer.\");const[s,i]=new Uint8Array(t,0,2);if(251!==s)throw new Error(\"Data does not appear to be in a Flatbush format.\");if(i>>4!=3)throw new Error(`Got v${i>>4} 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ArrayBuffer(8+_+r*this.IndexArrayType.BYTES_PER_ELEMENT),this._boxes=new this.ArrayType(this.data,8,4*r),this._indices=new this.IndexArrayType(this.data,8+_,r),this._pos=0,this.minX=1/0,this.minY=1/0,this.maxX=-1/0,this.maxY=-1/0,new Uint8Array(this.data,0,2).set([251,48+a]),new Uint16Array(this.data,2,1)[0]=s,new Uint32Array(this.data,4,1)[0]=t),this._queue=new n.default}add(t,s,i,e){const h=this._pos>>2;return this._indices[h]=h,this._boxes[this._pos++]=t,this._boxes[this._pos++]=s,this._boxes[this._pos++]=i,this._boxes[this._pos++]=e,tthis.maxX&&(this.maxX=i),e>this.maxY&&(this.maxY=e),h}finish(){if(this._pos>>2!==this.numItems)throw new Error(`Added ${this._pos>>2} items when expected ${this.numItems}.`);if(this.numItems<=this.nodeSize)return this._boxes[this._pos++]=this.minX,this._boxes[this._pos++]=this.minY,this._boxes[this._pos++]=this.maxX,void(this._boxes[this._pos++]=this.maxY);const t=this.maxX-this.minX,s=this.maxY-this.minY,i=new Uint32Array(this.numItems);for(let e=0;e>2]=t,this._boxes[this._pos++]=e,this._boxes[this._pos++]=h,this._boxes[this._pos++]=n,this._boxes[this._pos++]=o}}}search(t,s,i,e,h){if(this._pos!==this._boxes.length)throw new Error(\"Data not yet indexed - call index.finish().\");let n=this._boxes.length-4;const o=[],r=[];for(;void 0!==n;){const a=Math.min(n+4*this.nodeSize,_(n,this._levelBounds));for(let _=n;_>2];ithis._boxes[_+2]||s>this._boxes[_+3]||(n<4*this.numItems?(void 0===h||h(a))&&r.push(a):o.push(a)))}n=o.pop()}return r}neighbors(t,s,i=1/0,e=1/0,h){if(this._pos!==this._boxes.length)throw new Error(\"Data not yet indexed - call index.finish().\");let n=this._boxes.length-4;const o=this._queue,r=[],x=e*e;for(;void 0!==n;){const e=Math.min(n+4*this.nodeSize,_(n,this._levelBounds));for(let i=n;i>2],r=a(t,this._boxes[i],this._boxes[i+2]),_=a(s,this._boxes[i+1],this._boxes[i+3]),x=r*r+_*_;n<4*this.numItems?(void 0===h||h(e))&&o.push(-e-1,x):o.push(e,x)}for(;o.length&&o.peek()<0;){if(o.peekValue()>x)return 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r(e,n,{x0:a,x1:t,y0:i,y1:l},r){n.save(),n.beginPath(),n.moveTo(a,(i+l)/2),n.lineTo(t,(i+l)/2),e.line.apply(n,r),n.restore()}function c(e,n,{x0:a,x1:t,y0:i,y1:l},r){var c,o;const _=.1*Math.abs(t-a),s=.1*Math.abs(l-i),y=a+_,p=t-_,g=i+s,h=l-s;n.beginPath(),n.rect(y,g,p-y,h-g),e.fill.apply(n,r),null===(c=e.hatch)||void 0===c||c.apply(n,r),null===(o=e.line)||void 0===o||o.apply(n,r)}a.generic_line_scalar_legend=function(e,n,{x0:a,x1:t,y0:i,y1:l}){n.save(),n.beginPath(),n.moveTo(a,(i+l)/2),n.lineTo(t,(i+l)/2),e.line.apply(n),n.restore()},a.generic_line_vector_legend=r,a.generic_line_legend=r,a.generic_area_scalar_legend=function(e,n,{x0:a,x1:t,y0:i,y1:l}){var r,c;const o=.1*Math.abs(t-a),_=.1*Math.abs(l-i),s=a+o,y=t-o,p=i+_,g=l-_;n.beginPath(),n.rect(s,p,y-s,g-p),e.fill.apply(n),null===(r=e.hatch)||void 0===r||r.apply(n),null===(c=e.line)||void 0===c||c.apply(n)},a.generic_area_vector_legend=c,a.generic_area_legend=c,a.line_interpolation=function(e,n,a,t,i,r){const{sx:c,sy:o}=n;let _,s,y,p;\"point\"==n.type?([y,p]=e.yscale.r_invert(o-1,o+1),[_,s]=e.xscale.r_invert(c-1,c+1)):\"v\"==n.direction?([y,p]=e.yscale.r_invert(o,o),[_,s]=[Math.min(a-1,i-1),Math.max(a+1,i+1)]):([_,s]=e.xscale.r_invert(c,c),[y,p]=[Math.min(t-1,r-1),Math.max(t+1,r+1)]);const{x:g,y:h}=l.check_2_segments_intersect(_,y,s,p,a,t,i,r);return[g,h]}},\n function _(t,n,e,i,r){function s(t,n){return(t.x-n.x)**2+(t.y-n.y)**2}function o(t,n,e){const i=s(n,e);if(0==i)return s(t,n);const r=((t.x-n.x)*(e.x-n.x)+(t.y-n.y)*(e.y-n.y))/i;if(r<0)return s(t,n);if(r>1)return s(t,e);return s(t,{x:n.x+r*(e.x-n.x),y:n.y+r*(e.y-n.y)})}i(),e.point_in_poly=function(t,n,e,i){let r=!1,s=e[e.length-1],o=i[i.length-1];for(let u=0;u0&&_<1&&h>0&&h<1,x:t+_*(e-t),y:n+_*(i-n)}}}},\n function _(t,s,e,i,a){i();const l=t(1);var n;const _=t(178),o=t(184),c=(0,l.__importStar)(t(185)),h=(0,l.__importStar)(t(48)),r=t(72);class p extends _.XYGlyphView{_render(t,s,e){const{sx:i,sy:a}=null!=e?e:this;let l=!0;t.beginPath();for(const e of s){const s=i[e],n=a[e];isFinite(s+n)?l?(t.moveTo(s,n),l=!1):t.lineTo(s,n):(t.closePath(),l=!0)}t.closePath(),this.visuals.fill.apply(t),this.visuals.hatch.apply(t),this.visuals.line.apply(t)}draw_legend_for_index(t,s,e){(0,o.generic_area_scalar_legend)(this.visuals,t,s)}_hit_point(t){const s=new r.Selection;return c.point_in_poly(t.sx,t.sy,this.sx,this.sy)&&(s.add_to_selected_glyphs(this.model),s.view=this),s}}e.PatchView=p,p.__name__=\"PatchView\";class d extends _.XYGlyph{constructor(t){super(t)}}e.Patch=d,n=d,d.__name__=\"Patch\",n.prototype.default_view=p,n.mixins([h.LineScalar,h.FillScalar,h.HatchScalar])},\n function _(t,s,e,i,n){i();const h=t(1);var r;const a=t(188),_=(0,h.__importStar)(t(185)),o=(0,h.__importStar)(t(18)),l=t(72);class c extends a.AreaView{_index_data(t){const{min:s,max:e}=Math,{data_size:i}=this;for(let n=0;n=0;s--)t.lineTo(n[s],h[s]);t.closePath(),this.visuals.fill.apply(t),this.visuals.hatch.apply(t)}_hit_point(t){const s=this.sy.length,e=new l.Selection;for(let i=0,n=s-1;i({x1:[o.XCoordinateSpec,{field:\"x1\"}],x2:[o.XCoordinateSpec,{field:\"x2\"}],y:[o.YCoordinateSpec,{field:\"y\"}]})))},\n function _(e,a,r,_,s){_();const n=e(1);var c;const i=e(179),l=e(184),t=(0,n.__importStar)(e(48));class o extends i.GlyphView{draw_legend_for_index(e,a,r){(0,l.generic_area_scalar_legend)(this.visuals,e,a)}}r.AreaView=o,o.__name__=\"AreaView\";class d extends i.Glyph{constructor(e){super(e)}}r.Area=d,c=d,d.__name__=\"Area\",c.mixins([t.FillScalar,t.HatchScalar])},\n function _(t,s,e,i,n){i();const h=t(1);var r;const a=t(188),_=(0,h.__importStar)(t(185)),o=(0,h.__importStar)(t(18)),l=t(72);class c extends a.AreaView{_index_data(t){const{min:s,max:e}=Math,{data_size:i}=this;for(let n=0;n=0;s--)t.lineTo(i[s],h[s]);t.closePath(),this.visuals.fill.apply(t),this.visuals.hatch.apply(t)}scenterxy(t){return[this.sx[t],(this.sy1[t]+this.sy2[t])/2]}_hit_point(t){const s=this.sx.length,e=new l.Selection;for(let i=0,n=s-1;i({x:[o.XCoordinateSpec,{field:\"x\"}],y1:[o.YCoordinateSpec,{field:\"y1\"}],y2:[o.YCoordinateSpec,{field:\"y2\"}]})))},\n function _(e,i,s,t,n){var c;t();const o=e(53),r=e(24),u=e(191),_=e(70);class a extends o.Model{constructor(e){super(e)}initialize(){super.initialize(),this.compute_indices()}connect_signals(){super.connect_signals(),this.connect(this.properties.filters.change,(()=>this.compute_indices()));const e=()=>{const e=()=>this.compute_indices();null!=this.source&&(this.connect(this.source.change,e),this.source instanceof _.ColumnarDataSource&&(this.connect(this.source.streaming,e),this.connect(this.source.patching,e)))};let i=null!=this.source;i?e():this.connect(this.properties.source.change,(()=>{i||(e(),i=!0)}))}compute_indices(){var e;const{source:i}=this;if(null==i)return;const s=null!==(e=i.get_length())&&void 0!==e?e:1,t=r.Indices.all_set(s);for(const e of this.filters)t.intersect(e.compute_indices(i));this.indices=t,this._indices=[...t],this.indices_map_to_subset()}indices_map_to_subset(){this.indices_map={};for(let e=0;ethis._indices[e]))}convert_selection_to_subset(e){return e.map((e=>this.indices_map[e]))}convert_indices_from_subset(e){return e.map((e=>this._indices[e]))}}s.CDSView=a,c=a,a.__name__=\"CDSView\",c.define((({Array:e,Ref:i})=>({filters:[e(i(u.Filter)),[]],source:[i(_.ColumnarDataSource)]}))),c.internal((({Int:e,Dict:i,Ref:s,Nullable:t})=>({indices:[s(r.Indices)],indices_map:[i(e),{}],masked:[t(s(r.Indices)),null]})))},\n function _(e,t,n,s,c){s();const o=e(53);class r extends o.Model{constructor(e){super(e)}}n.Filter=r,r.__name__=\"Filter\"},\n function _(t,r,a,e,c){e(),c(\"BasicTickFormatter\",t(146).BasicTickFormatter),c(\"CategoricalTickFormatter\",t(142).CategoricalTickFormatter),c(\"DatetimeTickFormatter\",t(150).DatetimeTickFormatter),c(\"FuncTickFormatter\",t(193).FuncTickFormatter),c(\"LogTickFormatter\",t(163).LogTickFormatter),c(\"MercatorTickFormatter\",t(166).MercatorTickFormatter),c(\"NumeralTickFormatter\",t(194).NumeralTickFormatter),c(\"PrintfTickFormatter\",t(195).PrintfTickFormatter),c(\"TickFormatter\",t(131).TickFormatter)},\n function _(t,e,n,s,r){var c;s();const i=t(131),a=t(13),u=t(34);class o extends i.TickFormatter{constructor(t){super(t)}get names(){return(0,a.keys)(this.args)}get values(){return(0,a.values)(this.args)}_make_func(){const t=(0,u.use_strict)(this.code);return new Function(\"tick\",\"index\",\"ticks\",...this.names,t)}doFormat(t,e){const n=this._make_func().bind({});return t.map(((t,e,s)=>`${n(t,e,s,...this.values)}`))}}n.FuncTickFormatter=o,c=o,o.__name__=\"FuncTickFormatter\",c.define((({Unknown:t,String:e,Dict:n})=>({args:[n(t),{}],code:[e,\"\"]})))},\n function _(r,n,t,o,e){o();var a;const u=(0,r(1).__importStar)(r(153)),c=r(131),i=r(20);class s extends c.TickFormatter{constructor(r){super(r)}get _rounding_fn(){switch(this.rounding){case\"round\":case\"nearest\":return Math.round;case\"floor\":case\"rounddown\":return Math.floor;case\"ceil\":case\"roundup\":return Math.ceil}}doFormat(r,n){const{format:t,language:o,_rounding_fn:e}=this;return r.map((r=>u.format(r,t,o,e)))}}t.NumeralTickFormatter=s,a=s,s.__name__=\"NumeralTickFormatter\",a.define((({String:r})=>({format:[r,\"0,0\"],language:[r,\"en\"],rounding:[i.RoundingFunction,\"round\"]})))},\n function _(t,r,n,o,a){var e;o();const i=t(131),s=t(152);class c extends i.TickFormatter{constructor(t){super(t)}doFormat(t,r){return t.map((t=>(0,s.sprintf)(this.format,t)))}}n.PrintfTickFormatter=c,e=c,c.__name__=\"PrintfTickFormatter\",e.define((({String:t})=>({format:[t,\"%s\"]})))},\n function _(r,o,a,p,e){p(),e(\"CategoricalColorMapper\",r(197).CategoricalColorMapper),e(\"CategoricalMarkerMapper\",r(199).CategoricalMarkerMapper),e(\"CategoricalPatternMapper\",r(200).CategoricalPatternMapper),e(\"ContinuousColorMapper\",r(172).ContinuousColorMapper),e(\"ColorMapper\",r(173).ColorMapper),e(\"LinearColorMapper\",r(201).LinearColorMapper),e(\"LogColorMapper\",r(202).LogColorMapper),e(\"ScanningColorMapper\",r(171).ScanningColorMapper),e(\"EqHistColorMapper\",r(203).EqHistColorMapper)},\n function _(t,o,r,a,e){var c;a();const s=t(198),l=t(173),n=t(67);class _ extends l.ColorMapper{constructor(t){super(t)}_v_compute(t,o,r,{nan_color:a}){(0,s.cat_v_compute)(t,this.factors,r,o,this.start,this.end,a)}}r.CategoricalColorMapper=_,c=_,_.__name__=\"CategoricalColorMapper\",c.define((({Number:t,Nullable:o})=>({factors:[n.FactorSeq],start:[t,0],end:[o(t),null]})))},\n function _(n,t,e,l,i){l();const c=n(12),u=n(8);function f(n,t){if(n.length!=t.length)return!1;for(let e=0,l=n.length;ef(n,h)))),s=_<0||_>=e.length?r:e[_],l[g]=s}}},\n function _(e,r,a,t,s){var c;t();const l=e(198),n=e(67),u=e(174),o=e(20);class p extends u.Mapper{constructor(e){super(e)}v_compute(e){const r=new Array(e.length);return(0,l.cat_v_compute)(e,this.factors,this.markers,r,this.start,this.end,this.default_value),r}}a.CategoricalMarkerMapper=p,c=p,p.__name__=\"CategoricalMarkerMapper\",c.define((({Number:e,Array:r,Nullable:a})=>({factors:[n.FactorSeq],markers:[r(o.MarkerType)],start:[e,0],end:[a(e),null],default_value:[o.MarkerType,\"circle\"]})))},\n function _(t,e,a,r,n){var s;r();const c=t(198),l=t(67),p=t(174),u=t(20);class o extends p.Mapper{constructor(t){super(t)}v_compute(t){const e=new Array(t.length);return(0,c.cat_v_compute)(t,this.factors,this.patterns,e,this.start,this.end,this.default_value),e}}a.CategoricalPatternMapper=o,s=o,o.__name__=\"CategoricalPatternMapper\",s.define((({Number:t,Array:e,Nullable:a})=>({factors:[l.FactorSeq],patterns:[e(u.HatchPatternType)],start:[t,0],end:[a(t),null],default_value:[u.HatchPatternType,\" \"]})))},\n function _(n,r,o,t,a){t();const e=n(172),i=n(12);class s extends e.ContinuousColorMapper{constructor(n){super(n)}scan(n,r){const o=null!=this.low?this.low:(0,i.min)(n),t=null!=this.high?this.high:(0,i.max)(n);return{max:t,min:o,norm_factor:1/(t-o),normed_interval:1/r}}cmap(n,r,o,t,a){const e=r.length-1;if(n==a.max)return r[e];const i=(n-a.min)*a.norm_factor,s=Math.floor(i/a.normed_interval);return s<0?o:s>e?t:r[s]}}o.LinearColorMapper=s,s.__name__=\"LinearColorMapper\"},\n function _(o,t,n,r,l){r();const a=o(172),s=o(12);class e extends a.ContinuousColorMapper{constructor(o){super(o)}scan(o,t){const n=null!=this.low?this.low:(0,s.min)(o),r=null!=this.high?this.high:(0,s.max)(o);return{max:r,min:n,scale:t/(Math.log(r)-Math.log(n))}}cmap(o,t,n,r,l){const a=t.length-1;if(o>l.max)return r;if(o==l.max)return t[a];if(oa&&(e=a),t[e]}}n.LogColorMapper=e,e.__name__=\"LogColorMapper\"},\n function _(e,n,s,t,l){var i;t();const r=e(171),o=e(12),c=e(9);class a extends r.ScanningColorMapper{constructor(e){super(e)}scan(e,n){let s=null!=this.low?this.low:(0,o.min)(e);const t=null!=this.high?this.high:(0,o.max)(e),l=this.bins,i=(0,c.linspace)(s,t,l+1),r=(0,o.bin_counts)(e,i);let a=0;for(let e=0;e1&&(f=1-n)}const d=(0,c.linspace)(f,1,n+1),g=(0,o.interpolate)(d,p,_);return this.rescale_discrete_levels?s=g[0]:g[0]=s,g[g.length-1]=t,{min:s,max:t,binning:g}}}s.EqHistColorMapper=a,i=a,a.__name__=\"EqHistColorMapper\",i.define((({Boolean:e,Int:n})=>({bins:[n,65536],rescale_discrete_levels:[e,!1]})))},\n function _(a,e,l,c,n){c(),n(\"CategoricalScale\",a(62).CategoricalScale),n(\"ContinuousScale\",a(60).ContinuousScale),n(\"LinearScale\",a(59).LinearScale),n(\"LinearInterpolationScale\",a(205).LinearInterpolationScale),n(\"LogScale\",a(61).LogScale),n(\"Scale\",a(55).Scale)},\n function _(e,r,n,t,a){var i;t();const s=e(55),o=e(59),c=e(12);class _ extends s.Scale{constructor(e){super(e)}connect_signals(){super.connect_signals();const{source_range:e,target_range:r}=this.properties;this.on_change([e,r],(()=>{this.linear_scale=new o.LinearScale({source_range:this.source_range,target_range:this.target_range})}))}get s_compute(){throw new Error(\"not implemented\")}get s_invert(){throw new Error(\"not implemented\")}compute(e){return e}v_compute(e){const{binning:r}=this,{start:n,end:t}=this.source_range,a=n,i=t,s=r.length,o=(t-n)/(s-1),_=new Float64Array(s);for(let e=0;e{if(ei)return i;const n=(0,c.left_edge_index)(e,r);if(-1==n)return a;if(n>=s-1)return i;const t=r[n],o=(e-t)/(r[n+1]-t),l=_[n];return l+o*(_[n+1]-l)}));return this.linear_scale.v_compute(l)}invert(e){return e}v_invert(e){return new Float64Array(e)}}n.LinearInterpolationScale=_,i=_,_.__name__=\"LinearInterpolationScale\",i.internal((({Arrayable:e,Ref:r})=>({binning:[e],linear_scale:[r(o.LinearScale),e=>new o.LinearScale({source_range:e.source_range,target_range:e.target_range})]})))},\n function _(a,n,e,g,R){g(),R(\"DataRange\",a(64).DataRange),R(\"DataRange1d\",a(63).DataRange1d),R(\"FactorRange\",a(67).FactorRange),R(\"Range\",a(57).Range),R(\"Range1d\",a(58).Range1d)},\n function _(a,o,i,t,e){t();var n=a(124);e(\"Sizeable\",n.Sizeable),e(\"SizingPolicy\",n.SizingPolicy);var c=a(125);e(\"Layoutable\",c.Layoutable),e(\"LayoutItem\",c.LayoutItem);var r=a(208);e(\"HStack\",r.HStack),e(\"VStack\",r.VStack);var l=a(209);e(\"Grid\",l.Grid),e(\"Row\",l.Row),e(\"Column\",l.Column);var S=a(210);e(\"ContentBox\",S.ContentBox),e(\"VariadicBox\",S.VariadicBox)},\n function _(t,e,h,i,r){i();const n=t(125),o=t(65);class s extends n.Layoutable{constructor(){super(...arguments),this.children=[]}*[Symbol.iterator](){yield*this.children}}h.Stack=s,s.__name__=\"Stack\";class c extends s{_measure(t){let e=0,h=0;for(const t of this.children){const i=t.measure({width:0,height:0});e+=i.width,h=Math.max(h,i.height)}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);const h=this.absolute?t.top:0;let i=this.absolute?t.left:0;const{height:r}=t;for(const t of this.children){const{width:e}=t.measure({width:0,height:0});t.set_geometry(new o.BBox({left:i,width:e,top:h,height:r})),i+=e}}}h.HStack=c,c.__name__=\"HStack\";class a extends s{_measure(t){let e=0,h=0;for(const t of this.children){const i=t.measure({width:0,height:0});e=Math.max(e,i.width),h+=i.height}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);const h=this.absolute?t.left:0;let i=this.absolute?t.top:0;const{width:r}=t;for(const t of this.children){const{height:e}=t.measure({width:0,height:0});t.set_geometry(new o.BBox({top:i,height:e,left:h,width:r})),i+=e}}}h.VStack=a,a.__name__=\"VStack\";class l extends n.Layoutable{constructor(){super(...arguments),this.children=[]}*[Symbol.iterator](){yield*this.children}_measure(t){const{width_policy:e,height_policy:h}=this.sizing,{min:i,max:r}=Math;let n=0,o=0;for(const e of this.children){const{width:h,height:i}=e.measure(t);n=r(n,h),o=r(o,i)}return{width:(()=>{const{width:h}=this.sizing;if(t.width==1/0)return\"fixed\"==e&&null!=h?h:n;switch(e){case\"fixed\":return null!=h?h:n;case\"min\":return n;case\"fit\":return null!=h?i(t.width,h):t.width;case\"max\":return null!=h?r(t.width,h):t.width}})(),height:(()=>{const{height:e}=this.sizing;if(t.height==1/0)return\"fixed\"==h&&null!=e?e:o;switch(h){case\"fixed\":return null!=e?e:o;case\"min\":return o;case\"fit\":return null!=e?i(t.height,e):t.height;case\"max\":return null!=e?r(t.height,e):t.height}})()}}_set_geometry(t,e){super._set_geometry(t,e);const h=this.absolute?t:t.relative(),{left:i,right:r,top:n,bottom:s}=h,c=Math.round(h.vcenter),a=Math.round(h.hcenter);for(const e of this.children){const{margin:h,halign:l,valign:d}=e.sizing,{width:u,height:g,inner:_}=e.measure(t),w=(()=>{switch(`${d}_${l}`){case\"start_start\":return new o.BBox({left:i+h.left,top:n+h.top,width:u,height:g});case\"start_center\":return new o.BBox({hcenter:a,top:n+h.top,width:u,height:g});case\"start_end\":return new o.BBox({right:r-h.right,top:n+h.top,width:u,height:g});case\"center_start\":return new o.BBox({left:i+h.left,vcenter:c,width:u,height:g});case\"center_center\":return new o.BBox({hcenter:a,vcenter:c,width:u,height:g});case\"center_end\":return new o.BBox({right:r-h.right,vcenter:c,width:u,height:g});case\"end_start\":return new o.BBox({left:i+h.left,bottom:s-h.bottom,width:u,height:g});case\"end_center\":return new o.BBox({hcenter:a,bottom:s-h.bottom,width:u,height:g});case\"end_end\":return new o.BBox({right:r-h.right,bottom:s-h.bottom,width:u,height:g})}})(),m=null==_?w:new o.BBox({left:w.left+_.left,top:w.top+_.top,right:w.right-_.right,bottom:w.bottom-_.bottom});e.set_geometry(w,m)}}}h.NodeLayout=l,l.__name__=\"NodeLayout\"},\n function _(t,i,s,e,o){e();const n=t(124),l=t(125),r=t(8),h=t(65),c=t(9),{max:a,round:g}=Math;class p{constructor(t){this.def=t,this._map=new Map}get(t){let i=this._map.get(t);return void 0===i&&(i=this.def(),this._map.set(t,i)),i}apply(t,i){const s=this.get(t);this._map.set(t,i(s))}}p.__name__=\"DefaultMap\";class f{constructor(){this._items=[],this._nrows=0,this._ncols=0}get nrows(){return this._nrows}get ncols(){return this._ncols}add(t,i){const{r1:s,c1:e}=t;this._nrows=a(this._nrows,s+1),this._ncols=a(this._ncols,e+1),this._items.push({span:t,data:i})}at(t,i){return this._items.filter((({span:s})=>s.r0<=t&&t<=s.r1&&s.c0<=i&&i<=s.c1)).map((({data:t})=>t))}row(t){return this._items.filter((({span:i})=>i.r0<=t&&t<=i.r1)).map((({data:t})=>t))}col(t){return this._items.filter((({span:i})=>i.c0<=t&&t<=i.c1)).map((({data:t})=>t))}foreach(t){for(const{span:i,data:s}of this._items)t(i,s)}map(t){const i=new f;for(const{span:s,data:e}of this._items)i.add(s,t(s,e));return i}}f.__name__=\"Container\";class _ extends l.Layoutable{constructor(t=[]){super(),this.items=t,this.rows=\"auto\",this.cols=\"auto\",this.spacing=0}*[Symbol.iterator](){for(const{layout:t}of this.items)yield t}is_width_expanding(){if(super.is_width_expanding())return!0;if(\"fixed\"==this.sizing.width_policy)return!1;const{cols:t}=this._state;return(0,c.some)(t,(t=>\"max\"==t.policy))}is_height_expanding(){if(super.is_height_expanding())return!0;if(\"fixed\"==this.sizing.height_policy)return!1;const{rows:t}=this._state;return(0,c.some)(t,(t=>\"max\"==t.policy))}_init(){var t,i,s,e;super._init();const o=new f;for(const{layout:t,row:i,col:s,row_span:e,col_span:n}of this.items)if(t.sizing.visible){const l=i,r=s,h=i+(null!=e?e:1)-1,c=s+(null!=n?n:1)-1;o.add({r0:l,c0:r,r1:h,c1:c},t)}const{nrows:n,ncols:l}=o,h=new Array(n);for(let s=0;s{var t;const i=(0,r.isPlainObject)(this.rows)?null!==(t=this.rows[s])&&void 0!==t?t:this.rows[\"*\"]:this.rows;return null==i?{policy:\"auto\"}:(0,r.isNumber)(i)?{policy:\"fixed\",height:i}:(0,r.isString)(i)?{policy:i}:i})(),n=null!==(t=e.align)&&void 0!==t?t:\"auto\";if(\"fixed\"==e.policy)h[s]={policy:\"fixed\",height:e.height,align:n};else if(\"min\"==e.policy)h[s]={policy:\"min\",align:n};else if(\"fit\"==e.policy||\"max\"==e.policy)h[s]={policy:e.policy,flex:null!==(i=e.flex)&&void 0!==i?i:1,align:n};else{if(\"auto\"!=e.policy)throw new Error(\"unrechable\");(0,c.some)(o.row(s),(t=>t.is_height_expanding()))?h[s]={policy:\"max\",flex:1,align:n}:h[s]={policy:\"min\",align:n}}}const a=new Array(l);for(let t=0;t{var i;const s=(0,r.isPlainObject)(this.cols)?null!==(i=this.cols[t])&&void 0!==i?i:this.cols[\"*\"]:this.cols;return null==s?{policy:\"auto\"}:(0,r.isNumber)(s)?{policy:\"fixed\",width:s}:(0,r.isString)(s)?{policy:s}:s})(),n=null!==(s=i.align)&&void 0!==s?s:\"auto\";if(\"fixed\"==i.policy)a[t]={policy:\"fixed\",width:i.width,align:n};else if(\"min\"==i.policy)a[t]={policy:\"min\",align:n};else if(\"fit\"==i.policy||\"max\"==i.policy)a[t]={policy:i.policy,flex:null!==(e=i.flex)&&void 0!==e?e:1,align:n};else{if(\"auto\"!=i.policy)throw new Error(\"unrechable\");(0,c.some)(o.col(t),(t=>t.is_width_expanding()))?a[t]={policy:\"max\",flex:1,align:n}:a[t]={policy:\"min\",align:n}}}const[g,p]=(0,r.isNumber)(this.spacing)?[this.spacing,this.spacing]:this.spacing;this._state={items:o,nrows:n,ncols:l,rows:h,cols:a,rspacing:g,cspacing:p}}_measure_totals(t,i){const{nrows:s,ncols:e,rspacing:o,cspacing:n}=this._state;return{height:(0,c.sum)(t)+(s-1)*o,width:(0,c.sum)(i)+(e-1)*n}}_measure_cells(t){const{items:i,nrows:s,ncols:e,rows:o,cols:l,rspacing:r,cspacing:h}=this._state,c=new Array(s);for(let t=0;t{const{r0:e,c0:f,r1:d,c1:u}=i,w=(d-e)*r,m=(u-f)*h;let y=0;for(let i=e;i<=d;i++)y+=t(i,f).height;y+=w;let x=0;for(let i=f;i<=u;i++)x+=t(e,i).width;x+=m;const b=s.measure({width:x,height:y});_.add(i,{layout:s,size_hint:b});const z=new n.Sizeable(b).grow_by(s.sizing.margin);z.height-=w,z.width-=m;const v=[];for(let t=e;t<=d;t++){const i=o[t];\"fixed\"==i.policy?z.height-=i.height:v.push(t)}if(z.height>0){const t=g(z.height/v.length);for(const i of v)c[i]=a(c[i],t)}const j=[];for(let t=f;t<=u;t++){const i=l[t];\"fixed\"==i.policy?z.width-=i.width:j.push(t)}if(z.width>0){const t=g(z.width/j.length);for(const i of j)p[i]=a(p[i],t)}}));return{size:this._measure_totals(c,p),row_heights:c,col_widths:p,size_hints:_}}_measure_grid(t){const{nrows:i,ncols:s,rows:e,cols:o,rspacing:n,cspacing:l}=this._state,r=this._measure_cells(((t,i)=>{const s=e[t],n=o[i];return{width:\"fixed\"==n.policy?n.width:1/0,height:\"fixed\"==s.policy?s.height:1/0}}));let h;h=\"fixed\"==this.sizing.height_policy&&null!=this.sizing.height?this.sizing.height:t.height!=1/0&&this.is_height_expanding()?t.height:r.size.height;let c,p=0;for(let t=0;t0)for(let t=0;ti?i:e,t--}}}c=\"fixed\"==this.sizing.width_policy&&null!=this.sizing.width?this.sizing.width:t.width!=1/0&&this.is_width_expanding()?t.width:r.size.width;let f=0;for(let t=0;t0)for(let t=0;ts?s:o,t--}}}const{row_heights:_,col_widths:d,size_hints:u}=this._measure_cells(((t,i)=>({width:r.col_widths[i],height:r.row_heights[t]})));return{size:this._measure_totals(_,d),row_heights:_,col_widths:d,size_hints:u}}_measure(t){const{size:i}=this._measure_grid(t);return i}_set_geometry(t,i){super._set_geometry(t,i);const{nrows:s,ncols:e,rspacing:o,cspacing:n}=this._state,{row_heights:l,col_widths:r,size_hints:c}=this._measure_grid(t),f=this._state.rows.map(((t,i)=>Object.assign(Object.assign({},t),{top:0,height:l[i],get bottom(){return this.top+this.height}}))),_=this._state.cols.map(((t,i)=>Object.assign(Object.assign({},t),{left:0,width:r[i],get right(){return this.left+this.width}}))),d=c.map(((t,i)=>Object.assign(Object.assign({},i),{outer:new h.BBox,inner:new h.BBox})));for(let i=0,e=this.absolute?t.top:0;i{const{layout:r,size_hint:c}=l,{sizing:a}=r,{width:p,height:d}=c,u=function(t,i){let s=(i-t)*n;for(let e=t;e<=i;e++)s+=_[e].width;return s}(i,e),w=function(t,i){let s=(i-t)*o;for(let e=t;e<=i;e++)s+=f[e].height;return s}(t,s),m=i==e&&\"auto\"!=_[i].align?_[i].align:a.halign,y=t==s&&\"auto\"!=f[t].align?f[t].align:a.valign;let x=_[i].left;\"start\"==m?x+=a.margin.left:\"center\"==m?x+=g((u-p)/2):\"end\"==m&&(x+=u-a.margin.right-p);let b=f[t].top;\"start\"==y?b+=a.margin.top:\"center\"==y?b+=g((w-d)/2):\"end\"==y&&(b+=w-a.margin.bottom-d),l.outer=new h.BBox({left:x,top:b,width:p,height:d})}));const u=f.map((()=>({start:new p((()=>0)),end:new p((()=>0))}))),w=_.map((()=>({start:new p((()=>0)),end:new p((()=>0))})));d.foreach((({r0:t,c0:i,r1:s,c1:e},{size_hint:o,outer:n})=>{const{inner:l}=o;null!=l&&(u[t].start.apply(n.top,(t=>a(t,l.top))),u[s].end.apply(f[s].bottom-n.bottom,(t=>a(t,l.bottom))),w[i].start.apply(n.left,(t=>a(t,l.left))),w[e].end.apply(_[e].right-n.right,(t=>a(t,l.right))))})),d.foreach((({r0:t,c0:i,r1:s,c1:e},o)=>{const{size_hint:n,outer:l}=o,r=t=>{const i=this.absolute?l:l.relative(),s=i.left+t.left,e=i.top+t.top,o=i.right-t.right,n=i.bottom-t.bottom;return new h.BBox({left:s,top:e,right:o,bottom:n})};if(null!=n.inner){let h=r(n.inner);if(!1!==n.align){const o=u[t].start.get(l.top),n=u[s].end.get(f[s].bottom-l.bottom),c=w[i].start.get(l.left),a=w[e].end.get(_[e].right-l.right);try{h=r({top:o,bottom:n,left:c,right:a})}catch(t){}}o.inner=h}else o.inner=l})),d.foreach(((t,{layout:i,outer:s,inner:e})=>{i.set_geometry(s,e)}))}}s.Grid=_,_.__name__=\"Grid\";class d extends _{constructor(t){super(),this.items=t.map(((t,i)=>({layout:t,row:0,col:i}))),this.rows=\"fit\"}}s.Row=d,d.__name__=\"Row\";class u extends _{constructor(t){super(),this.items=t.map(((t,i)=>({layout:t,row:i,col:0}))),this.cols=\"fit\"}}s.Column=u,u.__name__=\"Column\"},\n function _(e,t,s,n,i){n();const a=e(125),c=e(124),o=e(43);class r extends a.ContentLayoutable{constructor(e){super(),this.content_size=(0,o.unsized)(e,(()=>new c.Sizeable((0,o.size)(e))))}_content_size(){return this.content_size}}s.ContentBox=r,r.__name__=\"ContentBox\";class _ extends a.Layoutable{constructor(e){super(),this.el=e}_measure(e){const t=new c.Sizeable(e).bounded_to(this.sizing.size);return(0,o.sized)(this.el,t,(()=>{const e=new c.Sizeable((0,o.content_size)(this.el)),{border:t,padding:s}=(0,o.extents)(this.el);return e.grow_by(t).grow_by(s).map(Math.ceil)}))}}s.VariadicBox=_,_.__name__=\"VariadicBox\";class h extends _{constructor(e){super(e),this._cache=new Map}_measure(e){const{width:t,height:s}=e,n=`${t},${s}`;let i=this._cache.get(n);return null==i&&(i=super._measure(e),this._cache.set(n,i)),i}invalidate_cache(){this._cache.clear()}}s.CachedVariadicBox=h,h.__name__=\"CachedVariadicBox\"},\n function _(t,e,i,h,o){h();const s=t(124),r=t(125),n=t(65);class g extends r.Layoutable{constructor(){super(...arguments),this.min_border={left:0,top:0,right:0,bottom:0},this.padding={left:0,top:0,right:0,bottom:0}}*[Symbol.iterator](){yield this.top_panel,yield this.bottom_panel,yield this.left_panel,yield this.right_panel,yield this.center_panel}_measure(t){t=new s.Sizeable({width:\"fixed\"==this.sizing.width_policy||t.width==1/0?this.sizing.width:t.width,height:\"fixed\"==this.sizing.height_policy||t.height==1/0?this.sizing.height:t.height});const e=this.left_panel.measure({width:0,height:t.height}),i=Math.max(e.width,this.min_border.left)+this.padding.left,h=this.right_panel.measure({width:0,height:t.height}),o=Math.max(h.width,this.min_border.right)+this.padding.right,r=this.top_panel.measure({width:t.width,height:0}),n=Math.max(r.height,this.min_border.top)+this.padding.top,g=this.bottom_panel.measure({width:t.width,height:0}),a=Math.max(g.height,this.min_border.bottom)+this.padding.bottom,d=new s.Sizeable(t).shrink_by({left:i,right:o,top:n,bottom:a}),l=this.center_panel.measure(d);return{width:i+l.width+o,height:n+l.height+a,inner:{left:i,right:o,top:n,bottom:a},align:(()=>{const{width_policy:t,height_policy:e}=this.center_panel.sizing;return\"fixed\"!=t&&\"fixed\"!=e})()}}_set_geometry(t,e){super._set_geometry(t,e),this.center_panel.set_geometry(e);const i=this.left_panel.measure({width:0,height:t.height}),h=this.right_panel.measure({width:0,height:t.height}),o=this.top_panel.measure({width:t.width,height:0}),s=this.bottom_panel.measure({width:t.width,height:0}),{left:r,top:g,right:a,bottom:d}=e;this.top_panel.set_geometry(new n.BBox({left:r,right:a,bottom:g,height:o.height})),this.bottom_panel.set_geometry(new n.BBox({left:r,right:a,top:d,height:s.height})),this.left_panel.set_geometry(new n.BBox({top:g,bottom:d,right:r,width:i.width})),this.right_panel.set_geometry(new n.BBox({top:g,bottom:d,left:a,width:h.width}))}}i.BorderLayout=g,g.__name__=\"BorderLayout\"},\n function _(t,e,i,s,l){s();const n=t(1);var o;const a=t(119),_=t(10),d=t(20),h=t(120),r=t(123),u=(0,n.__importStar)(t(48));class c extends a.TextAnnotationView{update_layout(){const{panel:t}=this;this.layout=null!=t?new r.SideLayout(t,(()=>this.get_size()),!1):void 0}_get_size(){const{text:t}=this.model,e=new h.TextBox({text:t}),{angle:i,angle_units:s}=this.model;e.angle=(0,_.resolve_angle)(i,s),e.visuals=this.visuals.text.values();const{width:l,height:n}=e.size();return{width:l,height:n}}_render(){const{angle:t,angle_units:e}=this.model,i=(0,_.resolve_angle)(t,e),s=null!=this.layout?this.layout:this.plot_view.frame,l=this.coordinates.x_scale,n=this.coordinates.y_scale;let o=\"data\"==this.model.x_units?l.compute(this.model.x):s.bbox.xview.compute(this.model.x),a=\"data\"==this.model.y_units?n.compute(this.model.y):s.bbox.yview.compute(this.model.y);o+=this.model.x_offset,a-=this.model.y_offset;(\"canvas\"==this.model.render_mode?this._canvas_text.bind(this):this._css_text.bind(this))(this.layer.ctx,this.model.text,o,a,i)}}i.LabelView=c,c.__name__=\"LabelView\";class x extends a.TextAnnotation{constructor(t){super(t)}}i.Label=x,o=x,x.__name__=\"Label\",o.prototype.default_view=c,o.mixins([u.Text,[\"border_\",u.Line],[\"background_\",u.Fill]]),o.define((({Number:t,String:e,Angle:i})=>({x:[t],x_units:[d.SpatialUnits,\"data\"],y:[t],y_units:[d.SpatialUnits,\"data\"],text:[e,\"\"],angle:[i,0],angle_units:[d.AngleUnits,\"rad\"],x_offset:[t,0],y_offset:[t,0]}))),o.override({background_fill_color:null,border_line_color:null})},\n function _(t,e,s,i,l){i();const o=t(1);var a;const r=t(69),n=(0,o.__importStar)(t(48)),d=t(20),_=t(43),c=t(120),h=(0,o.__importStar)(t(18)),u=t(11);class v extends r.DataAnnotationView{set_data(t){var e;if(super.set_data(t),null===(e=this.els)||void 0===e||e.forEach((t=>(0,_.remove)(t))),\"css\"==this.model.render_mode){const t=this.els=[...this.text].map((()=>(0,_.div)({style:{display:\"none\"}})));for(const e of t)this.plot_view.canvas_view.add_overlay(e)}else delete this.els}remove(){var t;null===(t=this.els)||void 0===t||t.forEach((t=>(0,_.remove)(t))),super.remove()}_rerender(){\"css\"==this.model.render_mode?this.render():this.request_render()}map_data(){const{x_scale:t,y_scale:e}=this.coordinates,s=null!=this.layout?this.layout:this.plot_view.frame;this.sx=\"data\"==this.model.x_units?t.v_compute(this._x):s.bbox.xview.v_compute(this._x),this.sy=\"data\"==this.model.y_units?e.v_compute(this._y):s.bbox.yview.v_compute(this._y)}paint(){const t=\"canvas\"==this.model.render_mode?this._v_canvas_text.bind(this):this._v_css_text.bind(this),{ctx:e}=this.layer;for(let s=0,i=this.text.length;s{switch(this.visuals.text.text_align.get(e)){case\"left\":return[\"left\",\"0%\"];case\"center\":return[\"center\",\"-50%\"];case\"right\":return[\"right\",\"-100%\"]}})(),[d,c]=(()=>{switch(this.visuals.text.text_baseline.get(e)){case\"top\":return[\"top\",\"0%\"];case\"middle\":return[\"center\",\"-50%\"];case\"bottom\":return[\"bottom\",\"-100%\"];default:return[\"center\",\"-50%\"]}})();let h=`translate(${n}, ${c})`;o&&(h+=`rotate(${o}rad)`),a.style.transformOrigin=`${r} ${d}`,a.style.transform=h,this.layout,this.visuals.background_fill.doit&&(this.visuals.background_fill.set_vectorize(t,e),a.style.backgroundColor=t.fillStyle),this.visuals.border_line.doit&&(this.visuals.border_line.set_vectorize(t,e),a.style.borderStyle=t.lineDash.length<2?\"solid\":\"dashed\",a.style.borderWidth=`${t.lineWidth}px`,a.style.borderColor=t.strokeStyle),(0,_.display)(a)}}s.LabelSetView=v,v.__name__=\"LabelSetView\";class x extends r.DataAnnotation{constructor(t){super(t)}}s.LabelSet=x,a=x,x.__name__=\"LabelSet\",a.prototype.default_view=v,a.mixins([n.TextVector,[\"border_\",n.LineVector],[\"background_\",n.FillVector]]),a.define((()=>({x:[h.XCoordinateSpec,{field:\"x\"}],y:[h.YCoordinateSpec,{field:\"y\"}],x_units:[d.SpatialUnits,\"data\"],y_units:[d.SpatialUnits,\"data\"],text:[h.StringSpec,{field:\"text\"}],angle:[h.AngleSpec,0],x_offset:[h.NumberSpec,{value:0}],y_offset:[h.NumberSpec,{value:0}],render_mode:[d.RenderMode,\"canvas\"]}))),a.override({background_fill_color:null,border_line_color:null})},\n function _(t,e,i,l,s){l();const n=t(1);var o;const h=t(40),a=t(215),_=t(20),r=(0,n.__importStar)(t(48)),d=t(15),c=t(123),g=t(121),m=t(65),b=t(9),f=t(8),u=t(11);class x extends h.AnnotationView{update_layout(){const{panel:t}=this;this.layout=null!=t?new c.SideLayout(t,(()=>this.get_size())):void 0}cursor(t,e){return\"none\"==this.model.click_policy?null:\"pointer\"}get legend_padding(){return null!=this.model.border_line_color?this.model.padding:0}connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.request_render())),this.connect(this.model.item_change,(()=>this.request_render()))}compute_legend_bbox(){const t=this.model.get_legend_names(),{glyph_height:e,glyph_width:i}=this.model,{label_height:l,label_width:s}=this.model;this.max_label_height=(0,b.max)([(0,g.font_metrics)(this.visuals.label_text.font_value()).height,l,e]);const{ctx:n}=this.layer;n.save(),this.visuals.label_text.set_value(n),this.text_widths=new Map;for(const e of t)this.text_widths.set(e,(0,b.max)([n.measureText(e).width,s]));this.visuals.title_text.set_value(n),this.title_height=this.model.title?(0,g.font_metrics)(this.visuals.title_text.font_value()).height+this.model.title_standoff:0,this.title_width=this.model.title?n.measureText(this.model.title).width:0,n.restore();const o=Math.max((0,b.max)([...this.text_widths.values()]),0),h=this.model.margin,{legend_padding:a}=this,_=this.model.spacing,{label_standoff:r}=this.model;let d,c;if(\"vertical\"==this.model.orientation)d=t.length*this.max_label_height+Math.max(t.length-1,0)*_+2*a+this.title_height,c=(0,b.max)([o+i+r+2*a,this.title_width+2*a]);else{let e=2*a+Math.max(t.length-1,0)*_;for(const[,t]of this.text_widths)e+=(0,b.max)([t,s])+i+r;c=(0,b.max)([this.title_width+2*a,e]),d=this.max_label_height+this.title_height+2*a}const x=null!=this.layout?this.layout:this.plot_view.frame,[p,w]=x.bbox.ranges,{location:v}=this.model;let y,k;if((0,f.isString)(v))switch(v){case\"top_left\":y=p.start+h,k=w.start+h;break;case\"top\":case\"top_center\":y=(p.end+p.start)/2-c/2,k=w.start+h;break;case\"top_right\":y=p.end-h-c,k=w.start+h;break;case\"bottom_right\":y=p.end-h-c,k=w.end-h-d;break;case\"bottom\":case\"bottom_center\":y=(p.end+p.start)/2-c/2,k=w.end-h-d;break;case\"bottom_left\":y=p.start+h,k=w.end-h-d;break;case\"left\":case\"center_left\":y=p.start+h,k=(w.end+w.start)/2-d/2;break;case\"center\":case\"center_center\":y=(p.end+p.start)/2-c/2,k=(w.end+w.start)/2-d/2;break;case\"right\":case\"center_right\":y=p.end-h-c,k=(w.end+w.start)/2-d/2}else if((0,f.isArray)(v)&&2==v.length){const[t,e]=v;y=x.bbox.xview.compute(t),k=x.bbox.yview.compute(e)-d}else(0,u.unreachable)();return new m.BBox({left:y,top:k,width:c,height:d})}interactive_bbox(){return this.compute_legend_bbox()}interactive_hit(t,e){return this.interactive_bbox().contains(t,e)}on_hit(t,e){let i;const{glyph_width:l}=this.model,{legend_padding:s}=this,n=this.model.spacing,{label_standoff:o}=this.model;let h=i=s;const a=this.compute_legend_bbox(),_=\"vertical\"==this.model.orientation;for(const r of this.model.items){const d=r.get_labels_list_from_label_prop();for(const c of d){const d=a.x+h,g=a.y+i+this.title_height;let b,f;[b,f]=_?[a.width-2*s,this.max_label_height]:[this.text_widths.get(c)+l+o,this.max_label_height];if(new m.BBox({left:d,top:g,width:b,height:f}).contains(t,e)){switch(this.model.click_policy){case\"hide\":for(const t of r.renderers)t.visible=!t.visible;break;case\"mute\":for(const t of r.renderers)t.muted=!t.muted}return!0}_?i+=this.max_label_height+n:h+=this.text_widths.get(c)+l+o+n}}return!1}_render(){if(0==this.model.items.length)return;if(!(0,b.some)(this.model.items,(t=>t.visible)))return;for(const t of this.model.items)t.legend=this.model;const{ctx:t}=this.layer,e=this.compute_legend_bbox();t.save(),this._draw_legend_box(t,e),this._draw_legend_items(t,e),this._draw_title(t,e),t.restore()}_draw_legend_box(t,e){t.beginPath(),t.rect(e.x,e.y,e.width,e.height),this.visuals.background_fill.apply(t),this.visuals.border_line.apply(t)}_draw_legend_items(t,e){const{glyph_width:i,glyph_height:l}=this.model,{legend_padding:s}=this,n=this.model.spacing,{label_standoff:o}=this.model;let h=s,a=s;const _=\"vertical\"==this.model.orientation;for(const r of this.model.items){if(!r.visible)continue;const d=r.get_labels_list_from_label_prop(),c=r.get_field_from_label_prop();if(0==d.length)continue;const g=(()=>{switch(this.model.click_policy){case\"none\":return!0;case\"hide\":return(0,b.every)(r.renderers,(t=>t.visible));case\"mute\":return(0,b.every)(r.renderers,(t=>!t.muted))}})();for(const m of d){const d=e.x+h,b=e.y+a+this.title_height,f=d+i,u=b+l;_?a+=this.max_label_height+n:h+=this.text_widths.get(m)+i+o+n,this.visuals.label_text.set_value(t),t.fillText(m,f+o,b+this.max_label_height/2);for(const e of r.renderers){const i=this.plot_view.renderer_view(e);null==i||i.draw_legend(t,d,f,b,u,c,m,r.index)}if(!g){let l,n;[l,n]=_?[e.width-2*s,this.max_label_height]:[this.text_widths.get(m)+i+o,this.max_label_height],t.beginPath(),t.rect(d,b,l,n),this.visuals.inactive_fill.set_value(t),t.fill()}}}}_draw_title(t,e){const{title:i}=this.model;i&&this.visuals.title_text.doit&&(t.save(),t.translate(e.x0,e.y0+this.title_height),this.visuals.title_text.set_value(t),t.fillText(i,this.legend_padding,this.legend_padding-this.model.title_standoff),t.restore())}_get_size(){const{width:t,height:e}=this.compute_legend_bbox();return{width:t+2*this.model.margin,height:e+2*this.model.margin}}}i.LegendView=x,x.__name__=\"LegendView\";class p extends h.Annotation{constructor(t){super(t)}initialize(){super.initialize(),this.item_change=new d.Signal0(this,\"item_change\")}get_legend_names(){const t=[];for(const e of this.items){const i=e.get_labels_list_from_label_prop();t.push(...i)}return t}}i.Legend=p,o=p,p.__name__=\"Legend\",o.prototype.default_view=x,o.mixins([[\"label_\",r.Text],[\"title_\",r.Text],[\"inactive_\",r.Fill],[\"border_\",r.Line],[\"background_\",r.Fill]]),o.define((({Number:t,String:e,Array:i,Tuple:l,Or:s,Ref:n,Nullable:o})=>({orientation:[_.Orientation,\"vertical\"],location:[s(_.LegendLocation,l(t,t)),\"top_right\"],title:[o(e),null],title_standoff:[t,5],label_standoff:[t,5],glyph_height:[t,20],glyph_width:[t,20],label_height:[t,20],label_width:[t,20],margin:[t,10],padding:[t,10],spacing:[t,3],items:[i(n(a.LegendItem)),[]],click_policy:[_.LegendClickPolicy,\"none\"]}))),o.override({border_line_color:\"#e5e5e5\",border_line_alpha:.5,border_line_width:1,background_fill_color:\"#ffffff\",background_fill_alpha:.95,inactive_fill_color:\"white\",inactive_fill_alpha:.7,label_text_font_size:\"13px\",label_text_baseline:\"middle\",title_text_font_size:\"13px\",title_text_font_style:\"italic\"})},\n function _(e,r,l,n,t){n();const i=e(1);var s;const o=e(53),a=e(175),_=e(70),u=e(216),d=(0,i.__importStar)(e(18)),c=e(19),f=e(9);class h extends o.Model{constructor(e){super(e)}_check_data_sources_on_renderers(){if(null!=this.get_field_from_label_prop()){if(this.renderers.length<1)return!1;const e=this.renderers[0].data_source;if(null!=e)for(const r of this.renderers)if(r.data_source!=e)return!1}return!0}_check_field_label_on_data_source(){const e=this.get_field_from_label_prop();if(null!=e){if(this.renderers.length<1)return!1;const r=this.renderers[0].data_source;if(null!=r&&!(0,f.includes)(r.columns(),e))return!1}return!0}initialize(){super.initialize(),this.legend=null,this.connect(this.change,(()=>{var e;return null===(e=this.legend)||void 0===e?void 0:e.item_change.emit()}));this._check_data_sources_on_renderers()||c.logger.error(\"Non matching data sources on legend item renderers\");this._check_field_label_on_data_source()||c.logger.error(`Bad column name on label: ${this.label}`)}get_field_from_label_prop(){const{label:e}=this;return(0,u.isField)(e)?e.field:null}get_labels_list_from_label_prop(){if(!this.visible)return[];if((0,u.isValue)(this.label)){const{value:e}=this.label;return null!=e?[e]:[]}const e=this.get_field_from_label_prop();if(null!=e){let r;if(!this.renderers[0]||null==this.renderers[0].data_source)return[\"No source found\"];if(r=this.renderers[0].data_source,r instanceof _.ColumnarDataSource){const l=r.get_column(e);return null!=l?(0,f.uniq)(Array.from(l)):[\"Invalid field\"]}}return[]}}l.LegendItem=h,s=h,h.__name__=\"LegendItem\",s.define((({Boolean:e,Int:r,Array:l,Ref:n,Nullable:t})=>({label:[d.NullStringSpec,null],renderers:[l(n(a.GlyphRenderer)),[]],index:[t(r),null],visible:[e,!0]})))},\n function _(i,n,e,t,u){t();const c=i(8);e.isValue=function(i){return(0,c.isPlainObject)(i)&&\"value\"in i},e.isField=function(i){return(0,c.isPlainObject)(i)&&\"field\"in i},e.isExpr=function(i){return(0,c.isPlainObject)(i)&&\"expr\"in i}},\n function _(t,n,e,s,i){s();const o=t(1);var a;const l=t(40),c=(0,o.__importStar)(t(48)),r=t(20);class _ extends l.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.request_render()))}_render(){const{xs:t,ys:n}=this.model;if(t.length!=n.length)return;const e=t.length;if(e<3)return;const{frame:s}=this.plot_view,{ctx:i}=this.layer,o=this.coordinates.x_scale,a=this.coordinates.y_scale,{screen:l}=this.model;function c(t,n,e,s){return l?t:\"data\"==n?e.v_compute(t):s.v_compute(t)}const r=c(t,this.model.xs_units,o,s.bbox.xview),_=c(n,this.model.ys_units,a,s.bbox.yview);i.beginPath();for(let t=0;t({xs:[n(t),[]],xs_units:[r.SpatialUnits,\"data\"],ys:[n(t),[]],ys_units:[r.SpatialUnits,\"data\"]}))),a.internal((({Boolean:t})=>({screen:[t,!1]}))),a.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})},\n function _(e,t,n,o,i){o();const s=e(1);var l;const r=e(40),c=(0,s.__importStar)(e(48));class a extends r.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.request_render()))}_render(){const{gradient:e,y_intercept:t}=this.model;if(null==e||null==t)return;const{frame:n}=this.plot_view,o=this.coordinates.x_scale,i=this.coordinates.y_scale;let s,l,r,c;if(0==e)s=i.compute(t),l=s,r=n.bbox.left,c=r+n.bbox.width;else{s=n.bbox.top,l=s+n.bbox.height;const a=(i.invert(s)-t)/e,_=(i.invert(l)-t)/e;r=o.compute(a),c=o.compute(_)}const{ctx:a}=this.layer;a.save(),a.beginPath(),this.visuals.line.set_value(a),a.moveTo(r,s),a.lineTo(c,l),a.stroke(),a.restore()}}n.SlopeView=a,a.__name__=\"SlopeView\";class _ extends r.Annotation{constructor(e){super(e)}}n.Slope=_,l=_,_.__name__=\"Slope\",l.prototype.default_view=a,l.mixins(c.Line),l.define((({Number:e,Nullable:t})=>({gradient:[t(e),null],y_intercept:[t(e),null]}))),l.override({line_color:\"black\"})},\n function _(e,t,i,o,n){o();const s=e(1);var l;const a=e(40),r=(0,s.__importStar)(e(48)),c=e(20);class d extends a.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.plot_view.request_paint(this)))}_render(){const{location:e}=this.model;if(null==e)return;const{frame:t}=this.plot_view,i=this.coordinates.x_scale,o=this.coordinates.y_scale,n=(t,i)=>\"data\"==this.model.location_units?t.compute(e):this.model.for_hover?e:i.compute(e);let s,l,a,r;\"width\"==this.model.dimension?(a=n(o,t.bbox.yview),l=t.bbox.left,r=t.bbox.width,s=this.model.line_width):(a=t.bbox.top,l=n(i,t.bbox.xview),r=this.model.line_width,s=t.bbox.height);const{ctx:c}=this.layer;c.save(),c.beginPath(),this.visuals.line.set_value(c),c.moveTo(l,a),\"width\"==this.model.dimension?c.lineTo(l+r,a):c.lineTo(l,a+s),c.stroke(),c.restore()}}i.SpanView=d,d.__name__=\"SpanView\";class _ extends a.Annotation{constructor(e){super(e)}}i.Span=_,l=_,_.__name__=\"Span\",l.prototype.default_view=d,l.mixins(r.Line),l.define((({Number:e,Nullable:t})=>({render_mode:[c.RenderMode,\"canvas\"],location:[t(e),null],location_units:[c.SpatialUnits,\"data\"],dimension:[c.Dimension,\"width\"]}))),l.internal((({Boolean:e})=>({for_hover:[e,!1]}))),l.override({line_color:\"black\"})},\n function _(i,e,t,o,l){var s;o();const a=i(40),_=i(221),n=i(113),r=i(43),h=i(123),b=i(65);class v extends a.AnnotationView{constructor(){super(...arguments),this._invalidate_toolbar=!0,this._previous_bbox=new b.BBox}update_layout(){this.layout=new h.SideLayout(this.panel,(()=>this.get_size()),!0)}initialize(){super.initialize(),this.el=(0,r.div)(),this.plot_view.canvas_view.add_event(this.el)}async lazy_initialize(){await super.lazy_initialize(),this._toolbar_view=await(0,n.build_view)(this.model.toolbar,{parent:this}),this.plot_view.visibility_callbacks.push((i=>this._toolbar_view.set_visibility(i)))}remove(){this._toolbar_view.remove(),(0,r.remove)(this.el),super.remove()}render(){this.model.visible||(0,r.undisplay)(this.el),super.render()}_render(){const{bbox:i}=this.layout;this._previous_bbox.equals(i)||((0,r.position)(this.el,i),this._previous_bbox=i,this._invalidate_toolbar=!0),this._invalidate_toolbar&&(this.el.style.position=\"absolute\",this.el.style.overflow=\"hidden\",(0,r.empty)(this.el),this.el.appendChild(this._toolbar_view.el),this._toolbar_view.layout.bbox=i,this._toolbar_view.render(),this._invalidate_toolbar=!1),(0,r.display)(this.el)}_get_size(){const{tools:i,logo:e}=this.model.toolbar;return{width:30*i.length+(null!=e?25:0)+15,height:30}}}t.ToolbarPanelView=v,v.__name__=\"ToolbarPanelView\";class d extends a.Annotation{constructor(i){super(i)}}t.ToolbarPanel=d,s=d,d.__name__=\"ToolbarPanel\",s.prototype.default_view=v,s.define((({Ref:i})=>({toolbar:[i(_.Toolbar)]})))},\n function _(t,e,s,i,o){var c;i();const n=t(8),a=t(9),l=t(13),r=t(222),_=t(223),u=t(232),p=t(233);function v(t){switch(t){case\"tap\":return\"active_tap\";case\"pan\":return\"active_drag\";case\"pinch\":case\"scroll\":return\"active_scroll\";case\"multi\":return\"active_multi\"}return null}function h(t){return\"tap\"==t||\"pan\"==t}s.Drag=r.Tool,s.Inspection=r.Tool,s.Scroll=r.Tool,s.Tap=r.Tool;class f extends p.ToolbarBase{constructor(t){super(t)}connect_signals(){super.connect_signals();const{tools:t,active_drag:e,active_inspect:s,active_scroll:i,active_tap:o,active_multi:c}=this.properties;this.on_change([t,e,s,i,o,c],(()=>this._init_tools()))}_init_tools(){if(super._init_tools(),\"auto\"==this.active_inspect);else if(this.active_inspect instanceof u.InspectTool){let t=!1;for(const e of this.inspectors)e!=this.active_inspect?e.active=!1:t=!0;t||(this.active_inspect=null)}else if((0,n.isArray)(this.active_inspect)){const t=(0,a.intersection)(this.active_inspect,this.inspectors);t.length!=this.active_inspect.length&&(this.active_inspect=t);for(const t of this.inspectors)(0,a.includes)(this.active_inspect,t)||(t.active=!1)}else if(null==this.active_inspect)for(const t of this.inspectors)t.active=!1;const t=t=>{t.active?this._active_change(t):t.active=!0};for(const t of(0,l.values)(this.gestures)){t.tools=(0,a.sort_by)(t.tools,(t=>t.default_order));for(const e of t.tools)this.connect(e.properties.active.change,(()=>this._active_change(e)))}for(const[e,s]of(0,l.entries)(this.gestures)){const i=v(e);if(i){const o=this[i];\"auto\"==o?0!=s.tools.length&&h(e)&&t(s.tools[0]):null!=o&&((0,a.includes)(this.tools,o)?t(o):this[i]=null)}}}}s.Toolbar=f,c=f,f.__name__=\"Toolbar\",c.prototype.default_view=p.ToolbarBaseView,c.define((({Or:t,Ref:e,Auto:i,Null:o})=>({active_drag:[t(e(s.Drag),i,o),\"auto\"],active_inspect:[t(e(s.Inspection),i,o),\"auto\"],active_scroll:[t(e(s.Scroll),i,o),\"auto\"],active_tap:[t(e(s.Tap),i,o),\"auto\"],active_multi:[t(e(_.GestureTool),i,o),\"auto\"]})))},\n function _(t,e,n,o,s){var i;o();const a=t(42),r=t(9),l=t(53);class c extends a.View{get plot_view(){return this.parent}get plot_model(){return this.parent.model}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,(()=>{this.model.active?this.activate():this.deactivate()}))}activate(){}deactivate(){}}n.ToolView=c,c.__name__=\"ToolView\";class _ extends l.Model{constructor(t){super(t)}get synthetic_renderers(){return[]}_get_dim_limits([t,e],[n,o],s,i){const a=s.bbox.h_range;let l;\"width\"==i||\"both\"==i?(l=[(0,r.min)([t,n]),(0,r.max)([t,n])],l=[(0,r.max)([l[0],a.start]),(0,r.min)([l[1],a.end])]):l=[a.start,a.end];const c=s.bbox.v_range;let _;return\"height\"==i||\"both\"==i?(_=[(0,r.min)([e,o]),(0,r.max)([e,o])],_=[(0,r.max)([_[0],c.start]),(0,r.min)([_[1],c.end])]):_=[c.start,c.end],[l,_]}static register_alias(t,e){this.prototype._known_aliases.set(t,e)}static from_string(t){const e=this.prototype._known_aliases.get(t);if(null!=e)return e();{const e=[...this.prototype._known_aliases.keys()];throw new Error(`unexpected tool name '${t}', possible tools are ${e.join(\", \")}`)}}}n.Tool=_,i=_,_.__name__=\"Tool\",i.prototype._known_aliases=new Map,i.define((({String:t,Nullable:e})=>({description:[e(t),null]}))),i.internal((({Boolean:t})=>({active:[t,!1]})))},\n function _(e,o,t,s,n){s();const u=e(224),_=e(231);class l extends u.ButtonToolView{}t.GestureToolView=l,l.__name__=\"GestureToolView\";class i extends u.ButtonTool{constructor(e){super(e),this.button_view=_.OnOffButtonView}}t.GestureTool=i,i.__name__=\"GestureTool\"},\n function _(t,e,o,s,i){s();const n=t(1);var l;const r=(0,n.__importDefault)(t(225)),a=t(226),u=t(222),h=t(43),_=t(34),d=t(8),c=t(9),m=(0,n.__importStar)(t(227)),p=m,v=(0,n.__importDefault)(t(228)),f=(0,n.__importDefault)(t(229)),g=t(230);class b extends a.DOMView{initialize(){super.initialize();const t=this.model.menu;if(null!=t){const e=this.parent.model.toolbar_location,o=\"left\"==e||\"above\"==e,s=this.parent.model.horizontal?\"vertical\":\"horizontal\";this._menu=new g.ContextMenu(o?(0,c.reversed)(t):t,{orientation:s,prevent_hide:t=>t.target==this.el})}this._hammer=new r.default(this.el,{touchAction:\"auto\",inputClass:r.default.TouchMouseInput}),this.connect(this.model.change,(()=>this.render())),this._hammer.on(\"tap\",(t=>{var e;(null===(e=this._menu)||void 0===e?void 0:e.is_open)?this._menu.hide():t.target==this.el&&this._clicked()})),this._hammer.on(\"press\",(()=>this._pressed())),this.el.addEventListener(\"keydown\",(t=>{t.keyCode==h.Keys.Enter&&this._clicked()}))}remove(){var t;this._hammer.destroy(),null===(t=this._menu)||void 0===t||t.remove(),super.remove()}styles(){return[...super.styles(),m.default,v.default,f.default]}css_classes(){return super.css_classes().concat(p.toolbar_button)}render(){(0,h.empty)(this.el);const t=this.model.computed_icon;(0,d.isString)(t)&&((0,_.startsWith)(t,\"data:image\")?this.el.style.backgroundImage=`url(\"${t}\")`:this.el.classList.add(t)),this.el.title=this.model.tooltip,this.el.tabIndex=0,null!=this._menu&&this.root.el.appendChild(this._menu.el)}_pressed(){var t;const e=(()=>{switch(this.parent.model.toolbar_location){case\"right\":return{left_of:this.el};case\"left\":return{right_of:this.el};case\"above\":return{below:this.el};case\"below\":return{above:this.el}}})();null===(t=this._menu)||void 0===t||t.toggle(e)}}o.ButtonToolButtonView=b,b.__name__=\"ButtonToolButtonView\";class w extends u.ToolView{}o.ButtonToolView=w,w.__name__=\"ButtonToolView\";class y extends u.Tool{constructor(t){super(t)}_get_dim_tooltip(t){const{description:e,tool_name:o}=this;return null!=e?e:\"both\"==t?o:`${o} (${\"width\"==t?\"x\":\"y\"}-axis)`}get tooltip(){var t;return null!==(t=this.description)&&void 0!==t?t:this.tool_name}get computed_icon(){return this.icon}get menu(){return null}}o.ButtonTool=y,l=y,y.__name__=\"ButtonTool\",l.internal((({Boolean:t})=>({disabled:[t,!1]})))},\n function _(t,e,i,n,r){\n /*! 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pointercancel\";function it(){this.evEl=tt,this.evWin=et,q.apply(this,arguments),this.store=this.manager.session.pointerEvents=[]}t.MSPointerEvent&&!t.PointerEvent&&(tt=\"MSPointerDown\",et=\"MSPointerMove MSPointerUp MSPointerCancel\"),g(it,q,{handler:function(t){var e=this.store,i=!1,n=t.type.toLowerCase().replace(\"ms\",\"\"),r=K[n],s=Q[t.pointerType]||t.pointerType,o=s==N,a=b(e,t.pointerId,\"pointerId\");1&r&&(0===t.button||o)?a<0&&(e.push(t),a=e.length-1):12&r&&(i=!0),a<0||(e[a]=t,this.callback(this.manager,r,{pointers:e,changedPointers:[t],pointerType:s,srcEvent:t}),i&&e.splice(a,1))}});var nt={touchstart:1,touchmove:2,touchend:4,touchcancel:8},rt=\"touchstart\",st=\"touchstart touchmove touchend touchcancel\";function ot(){this.evTarget=rt,this.evWin=st,this.started=!1,q.apply(this,arguments)}function at(t,e){var i=P(t.touches),n=P(t.changedTouches);return 12&e&&(i=D(i.concat(n),\"identifier\",!0)),[i,n]}g(ot,q,{handler:function(t){var e=nt[t.type];if(1===e&&(this.started=!0),this.started){var i=at.call(this,t,e);12&e&&i[0].length-i[1].length==0&&(this.started=!1),this.callback(this.manager,e,{pointers:i[0],changedPointers:i[1],pointerType:N,srcEvent:t})}}});var ht={touchstart:1,touchmove:2,touchend:4,touchcancel:8},ut=\"touchstart touchmove touchend touchcancel\";function ct(){this.evTarget=ut,this.targetIds={},q.apply(this,arguments)}function lt(t,e){var i=P(t.touches),n=this.targetIds;if(3&e&&1===i.length)return n[i[0].identifier]=!0,[i,i];var r,s,o=P(t.changedTouches),a=[],h=this.target;if(s=i.filter((function(t){return _(t.target,h)})),1===e)for(r=0;r-1&&n.splice(t,1)}),2500)}}function dt(t){for(var e=t.srcEvent.clientX,i=t.srcEvent.clientY,n=0;n-1&&this.requireFail.splice(e,1),this},hasRequireFailures:function(){return this.requireFail.length>0},canRecognizeWith:function(t){return!!this.simultaneous[t.id]},emit:function(t){var e=this,i=this.state;function n(i){e.manager.emit(i,t)}i<8&&n(e.options.event+Dt(i)),n(e.options.event),t.additionalEvent&&n(t.additionalEvent),i>=8&&n(e.options.event+Dt(i))},tryEmit:function(t){if(this.canEmit())return this.emit(t);this.state=bt},canEmit:function(){for(var t=0;te.threshold&&r&e.direction},attrTest:function(t){return Ot.prototype.attrTest.call(this,t)&&(2&this.state||!(2&this.state)&&this.directionTest(t))},emit:function(t){this.pX=t.deltaX,this.pY=t.deltaY;var e=xt(t.direction);e&&(t.additionalEvent=this.options.event+e),this._super.emit.call(this,t)}}),g(Mt,Ot,{defaults:{event:\"pinch\",threshold:0,pointers:2},getTouchAction:function(){return[It]},attrTest:function(t){return this._super.attrTest.call(this,t)&&(Math.abs(t.scale-1)>this.options.threshold||2&this.state)},emit:function(t){if(1!==t.scale){var e=t.scale<1?\"in\":\"out\";t.additionalEvent=this.options.event+e}this._super.emit.call(this,t)}}),g(zt,Pt,{defaults:{event:\"press\",pointers:1,time:251,threshold:9},getTouchAction:function(){return[yt]},process:function(t){var e=this.options,i=t.pointers.length===e.pointers,n=t.distancee.time;if(this._input=t,!n||!i||12&t.eventType&&!r)this.reset();else if(1&t.eventType)this.reset(),this._timer=l((function(){this.state=8,this.tryEmit()}),e.time,this);else if(4&t.eventType)return 8;return bt},reset:function(){clearTimeout(this._timer)},emit:function(t){8===this.state&&(t&&4&t.eventType?this.manager.emit(this.options.event+\"up\",t):(this._input.timeStamp=c(),this.manager.emit(this.options.event,this._input)))}}),g(Nt,Ot,{defaults:{event:\"rotate\",threshold:0,pointers:2},getTouchAction:function(){return[It]},attrTest:function(t){return this._super.attrTest.call(this,t)&&(Math.abs(t.rotation)>this.options.threshold||2&this.state)}}),g(Xt,Ot,{defaults:{event:\"swipe\",threshold:10,velocity:.3,direction:30,pointers:1},getTouchAction:function(){return Rt.prototype.getTouchAction.call(this)},attrTest:function(t){var e,i=this.options.direction;return 30&i?e=t.overallVelocity:6&i?e=t.overallVelocityX:i&Y&&(e=t.overallVelocityY),this._super.attrTest.call(this,t)&&i&t.offsetDirection&&t.distance>this.options.threshold&&t.maxPointers==this.options.pointers&&u(e)>this.options.velocity&&4&t.eventType},emit:function(t){var e=xt(t.offsetDirection);e&&this.manager.emit(this.options.event+e,t),this.manager.emit(this.options.event,t)}}),g(Yt,Pt,{defaults:{event:\"tap\",pointers:1,taps:1,interval:300,time:250,threshold:9,posThreshold:10},getTouchAction:function(){return[Et]},process:function(t){var e=this.options,i=t.pointers.length===e.pointers,n=t.distance .bk-divider{cursor:default;overflow:hidden;background-color:#e5e5e5;}.bk-root .bk-context-menu.bk-horizontal > .bk-divider{width:1px;margin:5px 0;}.bk-root .bk-context-menu.bk-vertical > .bk-divider{height:1px;margin:0 5px;}.bk-root .bk-context-menu > :not(.bk-divider){border:1px solid transparent;}.bk-root .bk-context-menu > :not(.bk-divider).bk-active{border-color:#26aae1;}.bk-root .bk-context-menu > :not(.bk-divider):hover{background-color:#f9f9f9;}.bk-root .bk-context-menu > :not(.bk-divider):focus,.bk-root .bk-context-menu > :not(.bk-divider):focus-visible{outline:1px dotted #26aae1;outline-offset:-1px;}.bk-root .bk-context-menu > :not(.bk-divider)::-moz-focus-inner{border:0;}.bk-root .bk-context-menu.bk-horizontal > :not(.bk-divider):first-child{border-top-left-radius:4px;border-bottom-left-radius:4px;}.bk-root .bk-context-menu.bk-horizontal > :not(.bk-divider):last-child{border-top-right-radius:4px;border-bottom-right-radius:4px;}.bk-root .bk-context-menu.bk-vertical > :not(.bk-divider):first-child{border-top-left-radius:4px;border-top-right-radius:4px;}.bk-root .bk-context-menu.bk-vertical > :not(.bk-divider):last-child{border-bottom-left-radius:4px;border-bottom-right-radius:4px;}.bk-root .bk-menu{position:absolute;left:0;width:100%;z-index:100;cursor:pointer;font-size:12px;background-color:#fff;border:1px solid #ccc;border-radius:4px;box-shadow:0 6px 12px rgba(0, 0, 0, 0.175);}.bk-root .bk-menu.bk-above{bottom:100%;}.bk-root .bk-menu.bk-below{top:100%;}.bk-root .bk-menu > .bk-divider{height:1px;margin:7.5px 0;overflow:hidden;background-color:#e5e5e5;}.bk-root .bk-menu > :not(.bk-divider){padding:6px 12px;}.bk-root .bk-menu > :not(.bk-divider):hover,.bk-root .bk-menu > :not(.bk-divider).bk-active{background-color:#e6e6e6;}.bk-root .bk-caret{display:inline-block;vertical-align:middle;width:0;height:0;margin:0 5px;}.bk-root .bk-caret.bk-down{border-top:4px solid;}.bk-root .bk-caret.bk-up{border-bottom:4px solid;}.bk-root .bk-caret.bk-down,.bk-root .bk-caret.bk-up{border-right:4px solid transparent;border-left:4px solid transparent;}.bk-root .bk-caret.bk-left{border-right:4px solid;}.bk-root .bk-caret.bk-right{border-left:4px solid;}.bk-root .bk-caret.bk-left,.bk-root .bk-caret.bk-right{border-top:4px solid transparent;border-bottom:4px solid transparent;}\"},\n function _(t,e,i,n,o){n();const s=t(1),l=t(43),h=t(9),r=(0,s.__importStar)(t(229));class d{constructor(t,e={}){var i,n;this.items=t,this.el=(0,l.div)(),this._open=!1,this._item_click=t=>{var e;null===(e=t.handler)||void 0===e||e.call(t),this.hide()},this._on_mousedown=t=>{var e;const{target:i}=t;i instanceof Node&&this.el.contains(i)||(null===(e=this.prevent_hide)||void 0===e?void 0:e.call(this,t))||this.hide()},this._on_keydown=t=>{t.keyCode==l.Keys.Esc&&this.hide()},this._on_blur=()=>{this.hide()},this.orientation=null!==(i=e.orientation)&&void 0!==i?i:\"vertical\",this.reversed=null!==(n=e.reversed)&&void 0!==n&&n,this.prevent_hide=e.prevent_hide,(0,l.undisplay)(this.el)}get is_open(){return this._open}get can_open(){return 0!=this.items.length}remove(){(0,l.remove)(this.el),this._unlisten()}_listen(){document.addEventListener(\"mousedown\",this._on_mousedown),document.addEventListener(\"keydown\",this._on_keydown),window.addEventListener(\"blur\",this._on_blur)}_unlisten(){document.removeEventListener(\"mousedown\",this._on_mousedown),document.removeEventListener(\"keydown\",this._on_keydown),window.removeEventListener(\"blur\",this._on_blur)}_position(t){const e=this.el.parentElement;if(null!=e){const i=(()=>{if(\"left_of\"in t){const{left:e,top:i}=t.left_of.getBoundingClientRect();return{right:e,top:i}}if(\"right_of\"in t){const{top:e,right:i}=t.right_of.getBoundingClientRect();return{left:i,top:e}}if(\"below\"in t){const{left:e,bottom:i}=t.below.getBoundingClientRect();return{left:e,top:i}}if(\"above\"in t){const{left:e,top:i}=t.above.getBoundingClientRect();return{left:e,bottom:i}}return t})(),n=e.getBoundingClientRect();this.el.style.left=null!=i.left?i.left-n.left+\"px\":\"\",this.el.style.top=null!=i.top?i.top-n.top+\"px\":\"\",this.el.style.right=null!=i.right?n.right-i.right+\"px\":\"\",this.el.style.bottom=null!=i.bottom?n.bottom-i.bottom+\"px\":\"\"}}render(){var t;(0,l.empty)(this.el,!0),(0,l.classes)(this.el).add(\"bk-context-menu\",`bk-${this.orientation}`);const e=this.reversed?(0,h.reversed)(this.items):this.items;for(const i of e){let e;if(null==i)e=(0,l.div)({class:r.divider});else{if(null!=i.if&&!i.if())continue;if(null!=i.content)e=i.content;else{const n=null!=i.icon?(0,l.div)({class:[\"bk-menu-icon\",i.icon]}):null,o=[(null===(t=i.active)||void 0===t?void 0:t.call(i))?\"bk-active\":null,i.class];e=(0,l.div)({class:o,title:i.tooltip,tabIndex:0},n,i.label,i.content),e.addEventListener(\"click\",(()=>{this._item_click(i)})),e.addEventListener(\"keydown\",(t=>{t.keyCode==l.Keys.Enter&&this._item_click(i)}))}}this.el.appendChild(e)}}show(t){if(0!=this.items.length&&!this._open){if(this.render(),0==this.el.children.length)return;this._position(null!=t?t:{left:0,top:0}),(0,l.display)(this.el),this._listen(),this._open=!0}}hide(){this._open&&(this._open=!1,this._unlisten(),(0,l.undisplay)(this.el))}toggle(t){this._open?this.hide():this.show(t)}}i.ContextMenu=d,d.__name__=\"ContextMenu\"},\n function _(t,e,i,n,o){n();const s=t(1),c=t(224),l=(0,s.__importStar)(t(227)),a=t(43);class _ extends c.ButtonToolButtonView{render(){super.render(),(0,a.classes)(this.el).toggle(l.active,this.model.active)}_clicked(){const{active:t}=this.model;this.model.active=!t}}i.OnOffButtonView=_,_.__name__=\"OnOffButtonView\"},\n function _(e,o,t,n,s){var c;n();const l=e(224),_=e(231);class i extends l.ButtonToolView{}t.InspectToolView=i,i.__name__=\"InspectToolView\";class a extends l.ButtonTool{constructor(e){super(e),this.event_type=\"move\"}}t.InspectTool=a,c=a,a.__name__=\"InspectTool\",c.prototype.button_view=_.OnOffButtonView,c.define((({Boolean:e})=>({toggleable:[e,!0]}))),c.override({active:!0})},\n function _(t,o,e,l,i){l();const s=t(1);var n,a;const r=t(19),c=t(43),h=t(113),_=t(226),u=t(20),v=t(9),d=t(234),p=t(13),b=t(8),g=t(235),f=t(65),m=t(53),w=t(222),y=t(223),T=t(238),z=t(239),x=t(232),B=t(230),C=(0,s.__importStar)(t(227)),k=C,L=(0,s.__importStar)(t(240)),M=L;class S extends m.Model{constructor(t){super(t)}get visible(){var t;return!this.autohide||null!==(t=this._visible)&&void 0!==t&&t}}e.ToolbarViewModel=S,n=S,S.__name__=\"ToolbarViewModel\",n.define((({Boolean:t})=>({autohide:[t,!1]}))),n.internal((({Boolean:t,Nullable:o})=>({_visible:[o(t),null]})));class $ extends _.DOMView{constructor(){super(...arguments),this.layout={bbox:new f.BBox}}initialize(){super.initialize(),this._tool_button_views=new Map,this._toolbar_view_model=new S({autohide:this.model.autohide});const{toolbar_location:t}=this.model,o=\"left\"==t||\"above\"==t,e=this.model.horizontal?\"vertical\":\"horizontal\";this._overflow_menu=new B.ContextMenu([],{orientation:e,reversed:o})}async lazy_initialize(){await super.lazy_initialize(),await this._build_tool_button_views()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.tools.change,(async()=>{await this._build_tool_button_views(),this.render()})),this.connect(this.model.properties.autohide.change,(()=>{this._toolbar_view_model.autohide=this.model.autohide,this._on_visible_change()})),this.connect(this._toolbar_view_model.properties._visible.change,(()=>this._on_visible_change()))}styles(){return[...super.styles(),C.default,L.default]}remove(){(0,h.remove_views)(this._tool_button_views),super.remove()}async _build_tool_button_views(){const t=null!=this.model._proxied_tools?this.model._proxied_tools:this.model.tools;await(0,h.build_views)(this._tool_button_views,t,{parent:this},(t=>t.button_view))}set_visibility(t){t!=this._toolbar_view_model._visible&&(this._toolbar_view_model._visible=t)}_on_visible_change(){const{visible:t}=this._toolbar_view_model;(0,c.classes)(this.el).toggle(k.toolbar_hidden,!t)}render(){(0,c.empty)(this.el),this.el.classList.add(k.toolbar),this.el.classList.add(k[this.model.toolbar_location]),this._toolbar_view_model.autohide=this.model.autohide,this._on_visible_change();const{horizontal:t}=this.model;let o=0;if(null!=this.model.logo){const e=\"grey\"===this.model.logo?M.grey:null,l=(0,c.a)({href:\"https://bokeh.org/\",target:\"_blank\",class:[M.logo,M.logo_small,e]});this.el.appendChild(l);const{width:i,height:s}=l.getBoundingClientRect();o+=t?i:s}for(const[,t]of this._tool_button_views)t.render();const e=[],l=t=>this._tool_button_views.get(t).el,{gestures:i}=this.model;for(const t of(0,p.values)(i))e.push(t.tools.map(l));e.push(this.model.actions.map(l)),e.push(this.model.inspectors.filter((t=>t.toggleable)).map(l));const s=e.filter((t=>0!=t.length)),n=()=>(0,c.div)({class:k.divider}),{bbox:a}=this.layout;let r=!1;this.root.el.appendChild(this._overflow_menu.el);const h=(0,c.div)({class:k.tool_overflow,tabIndex:0},t?\"\\u22ee\":\"\\u22ef\"),_=()=>{const t=(()=>{switch(this.model.toolbar_location){case\"right\":return{left_of:h};case\"left\":return{right_of:h};case\"above\":return{below:h};case\"below\":return{above:h}}})();this._overflow_menu.toggle(t)};h.addEventListener(\"click\",(()=>{_()})),h.addEventListener(\"keydown\",(t=>{t.keyCode==c.Keys.Enter&&_()}));for(const e of(0,d.join)(s,n))if(r)this._overflow_menu.items.push({content:e,class:t?k.right:k.above});else{this.el.appendChild(e);const{width:l,height:i}=e.getBoundingClientRect();if(o+=t?l:i,r=t?o>a.width-15:o>a.height-15,r){this.el.removeChild(e),this.el.appendChild(h);const{items:t}=this._overflow_menu;t.splice(0,t.length),t.push({content:e})}}}update_layout(){}update_position(){}after_layout(){this._has_finished=!0}export(t,o=!0){const e=\"png\"==t?\"canvas\":\"svg\",l=new g.CanvasLayer(e,o);return l.resize(0,0),l}}function V(){return{pan:{tools:[],active:null},scroll:{tools:[],active:null},pinch:{tools:[],active:null},tap:{tools:[],active:null},doubletap:{tools:[],active:null},press:{tools:[],active:null},pressup:{tools:[],active:null},rotate:{tools:[],active:null},move:{tools:[],active:null},multi:{tools:[],active:null}}}e.ToolbarBaseView=$,$.__name__=\"ToolbarBaseView\";class A extends m.Model{constructor(t){super(t)}initialize(){super.initialize(),this._init_tools()}_init_tools(){const t=function(t,o){if(t.length!=o.length)return!0;const e=new Set(o.map((t=>t.id)));return(0,v.some)(t,(t=>!e.has(t.id)))},o=this.tools.filter((t=>t instanceof x.InspectTool));t(this.inspectors,o)&&(this.inspectors=o);const e=this.tools.filter((t=>t instanceof z.HelpTool));t(this.help,e)&&(this.help=e);const l=this.tools.filter((t=>t instanceof T.ActionTool));t(this.actions,l)&&(this.actions=l);const i=(t,o)=>{t in this.gestures||r.logger.warn(`Toolbar: unknown event type '${t}' for tool: ${o}`)},s={pan:{tools:[],active:null},scroll:{tools:[],active:null},pinch:{tools:[],active:null},tap:{tools:[],active:null},doubletap:{tools:[],active:null},press:{tools:[],active:null},pressup:{tools:[],active:null},rotate:{tools:[],active:null},move:{tools:[],active:null},multi:{tools:[],active:null}};for(const t of this.tools)if(t instanceof y.GestureTool&&t.event_type)if((0,b.isString)(t.event_type))s[t.event_type].tools.push(t),i(t.event_type,t);else{s.multi.tools.push(t);for(const o of t.event_type)i(o,t)}for(const o of Object.keys(s)){const e=this.gestures[o];t(e.tools,s[o].tools)&&(e.tools=s[o].tools),e.active&&(0,v.every)(e.tools,(t=>t.id!=e.active.id))&&(e.active=null)}}get horizontal(){return\"above\"===this.toolbar_location||\"below\"===this.toolbar_location}get vertical(){return\"left\"===this.toolbar_location||\"right\"===this.toolbar_location}_active_change(t){const{event_type:o}=t;if(null==o)return;const e=(0,b.isString)(o)?[o]:o;for(const o of e)if(t.active){const e=this.gestures[o].active;null!=e&&t!=e&&(r.logger.debug(`Toolbar: deactivating tool: ${e} for event type '${o}'`),e.active=!1),this.gestures[o].active=t,r.logger.debug(`Toolbar: activating tool: ${t} for event type '${o}'`)}else this.gestures[o].active=null}}e.ToolbarBase=A,a=A,A.__name__=\"ToolbarBase\",a.prototype.default_view=$,a.define((({Boolean:t,Array:o,Ref:e,Nullable:l})=>({tools:[o(e(w.Tool)),[]],logo:[l(u.Logo),\"normal\"],autohide:[t,!1]}))),a.internal((({Array:t,Struct:o,Ref:e,Nullable:l})=>{const i=o({tools:t(e(y.GestureTool)),active:l(e(w.Tool))});return{gestures:[o({pan:i,scroll:i,pinch:i,tap:i,doubletap:i,press:i,pressup:i,rotate:i,move:i,multi:i}),V],actions:[t(e(T.ActionTool)),[]],inspectors:[t(e(x.InspectTool)),[]],help:[t(e(z.HelpTool)),[]],toolbar_location:[u.Location,\"right\"]}}))},\n function _(n,o,e,t,f){t();const r=n(9);function*i(n,o){const e=n.length;if(o>e)return;const t=(0,r.range)(o);for(yield t.map((o=>n[o]));;){let f;for(const n of(0,r.reversed)((0,r.range)(o)))if(t[n]!=n+e-o){f=n;break}if(null==f)return;t[f]+=1;for(const n of(0,r.range)(f+1,o))t[n]=t[n-1]+1;yield t.map((o=>n[o]))}}e.enumerate=function*(n){let o=0;for(const e of n)yield[e,o++]},e.join=function*(n,o){let 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t({attachment:[h.TooltipAttachment,\"horizontal\"],inner_only:[e,!0],show_arrow:[e,!0]}))),n.internal((({Boolean:e,Number:t,Tuple:s,Ref:i,Nullable:l})=>({position:[l(s(t,t)),null],content:[i(HTMLElement),()=>(0,r.div)()],custom:[e]}))),n.override({level:\"overlay\"})},\n function _(o,t,r,e,l){e(),r.root=\"bk-root\",r.tooltip=\"bk-tooltip\",r.left=\"bk-left\",r.tooltip_arrow=\"bk-tooltip-arrow\",r.right=\"bk-right\",r.above=\"bk-above\",r.below=\"bk-below\",r.tooltip_row_label=\"bk-tooltip-row-label\",r.tooltip_row_value=\"bk-tooltip-row-value\",r.tooltip_color_block=\"bk-tooltip-color-block\",r.default='.bk-root{}.bk-root .bk-tooltip{font-weight:300;font-size:12px;position:absolute;padding:5px;border:1px solid #e5e5e5;color:#2f2f2f;background-color:white;pointer-events:none;opacity:0.95;z-index:100;}.bk-root .bk-tooltip > div:not(:first-child){margin-top:5px;border-top:#e5e5e5 1px dashed;}.bk-root .bk-tooltip.bk-left.bk-tooltip-arrow::before{position:absolute;margin:-7px 0 0 0;top:50%;width:0;height:0;border-style:solid;border-width:7px 0 7px 0;border-color:transparent;content:\" \";display:block;left:-10px;border-right-width:10px;border-right-color:#909599;}.bk-root .bk-tooltip.bk-left::before{left:-10px;border-right-width:10px;border-right-color:#909599;}.bk-root .bk-tooltip.bk-right.bk-tooltip-arrow::after{position:absolute;margin:-7px 0 0 0;top:50%;width:0;height:0;border-style:solid;border-width:7px 0 7px 0;border-color:transparent;content:\" \";display:block;right:-10px;border-left-width:10px;border-left-color:#909599;}.bk-root .bk-tooltip.bk-right::after{right:-10px;border-left-width:10px;border-left-color:#909599;}.bk-root .bk-tooltip.bk-above::before{position:absolute;margin:0 0 0 -7px;left:50%;width:0;height:0;border-style:solid;border-width:0 7px 0 7px;border-color:transparent;content:\" \";display:block;top:-10px;border-bottom-width:10px;border-bottom-color:#909599;}.bk-root .bk-tooltip.bk-below::after{position:absolute;margin:0 0 0 -7px;left:50%;width:0;height:0;border-style:solid;border-width:0 7px 0 7px;border-color:transparent;content:\" \";display:block;bottom:-10px;border-top-width:10px;border-top-color:#909599;}.bk-root .bk-tooltip-row-label{text-align:right;color:#26aae1;}.bk-root .bk-tooltip-row-value{color:default;}.bk-root .bk-tooltip-color-block{width:12px;height:12px;margin-left:5px;margin-right:5px;outline:#dddddd solid 1px;display:inline-block;}'},\n function _(e,t,s,i,r){var a;i();const l=e(115),_=e(112),h=e(113),o=e(48);class n extends l.UpperLowerView{async lazy_initialize(){await super.lazy_initialize();const{lower_head:e,upper_head:t}=this.model;null!=e&&(this.lower_head=await(0,h.build_view)(e,{parent:this})),null!=t&&(this.upper_head=await(0,h.build_view)(t,{parent:this}))}set_data(e){var t,s;super.set_data(e),null===(t=this.lower_head)||void 0===t||t.set_data(e),null===(s=this.upper_head)||void 0===s||s.set_data(e)}paint(e){if(this.visuals.line.doit)for(let t=0,s=this._lower_sx.length;t({lower_head:[t(e(_.ArrowHead)),()=>new _.TeeHead({size:10})],upper_head:[t(e(_.ArrowHead)),()=>new _.TeeHead({size:10})]}))),a.override({level:\"underlay\"})},\n function _(n,o,t,u,e){u(),e(\"CustomJS\",n(245).CustomJS),e(\"OpenURL\",n(247).OpenURL)},\n function _(t,e,s,n,c){var a;n();const r=t(246),u=t(13),o=t(34);class i extends r.Callback{constructor(t){super(t)}get names(){return(0,u.keys)(this.args)}get values(){return(0,u.values)(this.args)}get func(){const t=(0,o.use_strict)(this.code);return new Function(...this.names,\"cb_obj\",\"cb_data\",t)}execute(t,e={}){return this.func.apply(t,this.values.concat(t,e))}}s.CustomJS=i,a=i,i.__name__=\"CustomJS\",a.define((({Unknown:t,String:e,Dict:s})=>({args:[s(t),{}],code:[e,\"\"]})))},\n function _(c,a,l,n,s){n();const e=c(53);class o extends e.Model{constructor(c){super(c)}}l.Callback=o,o.__name__=\"Callback\"},\n function _(e,t,n,o,i){var s;o();const c=e(246),r=e(152),a=e(8);class d extends c.Callback{constructor(e){super(e)}navigate(e){this.same_tab?window.location.href=e:window.open(e)}execute(e,{source:t}){const n=e=>{const n=(0,r.replace_placeholders)(this.url,t,e,void 0,void 0,encodeURI);if(!(0,a.isString)(n))throw new Error(\"HTML output is not supported in this context\");this.navigate(n)},{selected:o}=t;for(const e of o.indices)n(e);for(const e of o.line_indices)n(e)}}n.OpenURL=d,s=d,d.__name__=\"OpenURL\",s.define((({Boolean:e,String:t})=>({url:[t,\"http://\"],same_tab:[e,!1]})))},\n function _(a,n,i,e,r){e(),r(\"Canvas\",a(249).Canvas),r(\"CartesianFrame\",a(126).CartesianFrame),r(\"CoordinateMapping\",a(54).CoordinateMapping)},\n function _(e,t,i,s,a){var l,r=this&&this.__createBinding||(Object.create?function(e,t,i,s){void 0===s&&(s=i),Object.defineProperty(e,s,{enumerable:!0,get:function(){return t[i]}})}:function(e,t,i,s){void 0===s&&(s=i),e[s]=t[i]}),n=this&&this.__setModuleDefault||(Object.create?function(e,t){Object.defineProperty(e,\"default\",{enumerable:!0,value:t})}:function(e,t){e.default=t}),o=this&&this.__importStar||function(e){if(e&&e.__esModule)return e;var t={};if(null!=e)for(var i in e)\"default\"!==i&&Object.prototype.hasOwnProperty.call(e,i)&&r(t,e,i);return n(t,e),t};s();const h=e(14),c=e(28),u=e(226),_=e(19),d=e(43),p=e(20),b=e(13),v=e(250),g=e(65),w=e(138),y=e(235);const f=(()=>{let t;return async()=>void 0!==t?t:t=await async function(){const t=document.createElement(\"canvas\"),i=t.getContext(\"webgl\",{premultipliedAlpha:!0});if(null!=i){const s=await(0,w.load_module)(Promise.resolve().then((()=>o(e(410)))));if(null!=s){const e=s.get_regl(i);if(e.has_webgl)return{canvas:t,regl_wrapper:e};_.logger.trace(\"WebGL is supported, but not the required extensions\")}else _.logger.trace(\"WebGL is supported, but bokehjs(.min).js bundle is not available\")}else _.logger.trace(\"WebGL is not supported\");return null}()})(),m={position:\"absolute\",top:\"0\",left:\"0\",width:\"100%\",height:\"100%\"};class x extends u.DOMView{constructor(){super(...arguments),this.bbox=new g.BBox,this.webgl=null}initialize(){super.initialize(),this.underlays_el=(0,d.div)({style:m}),this.primary=this.create_layer(),this.overlays=this.create_layer(),this.overlays_el=(0,d.div)({style:m}),this.events_el=(0,d.div)({class:\"bk-canvas-events\",style:m});const e=[this.underlays_el,this.primary.el,this.overlays.el,this.overlays_el,this.events_el];(0,b.extend)(this.el.style,m),(0,d.append)(this.el,...e),this.ui_event_bus=new v.UIEventBus(this)}async lazy_initialize(){if(await super.lazy_initialize(),\"webgl\"==this.model.output_backend&&(this.webgl=await f(),c.settings.force_webgl&&null==this.webgl))throw new Error(\"webgl is not available\")}remove(){this.ui_event_bus.destroy(),super.remove()}add_underlay(e){this.underlays_el.appendChild(e)}add_overlay(e){this.overlays_el.appendChild(e)}add_event(e){this.events_el.appendChild(e)}get pixel_ratio(){return this.primary.pixel_ratio}resize(e,t){this.bbox=new g.BBox({left:0,top:0,width:e,height:t}),this.primary.resize(e,t),this.overlays.resize(e,t)}prepare_webgl(e){const{webgl:t}=this;if(null!=t){const{width:i,height:s}=this.bbox;t.canvas.width=this.pixel_ratio*i,t.canvas.height=this.pixel_ratio*s;const[a,l,r,n]=e,{xview:o,yview:h}=this.bbox,c=o.compute(a),u=h.compute(l+n),_=this.pixel_ratio;t.regl_wrapper.set_scissor(_*c,_*u,_*r,_*n),this._clear_webgl()}}blit_webgl(e){const{webgl:t}=this;if(null!=t){if(_.logger.debug(\"Blitting WebGL canvas\"),e.restore(),e.drawImage(t.canvas,0,0),e.save(),this.model.hidpi){const t=this.pixel_ratio;e.scale(t,t),e.translate(.5,.5)}this._clear_webgl()}}_clear_webgl(){const{webgl:e}=this;if(null!=e){const{regl_wrapper:t,canvas:i}=e;t.clear(i.width,i.height)}}compose(){const e=this.create_layer(),{width:t,height:i}=this.bbox;return e.resize(t,i),e.ctx.drawImage(this.primary.canvas,0,0),e.ctx.drawImage(this.overlays.canvas,0,0),e}create_layer(){const{output_backend:e,hidpi:t}=this.model;return new y.CanvasLayer(e,t)}to_blob(){return this.compose().to_blob()}}i.CanvasView=x,x.__name__=\"CanvasView\";class z extends h.HasProps{constructor(e){super(e)}}i.Canvas=z,l=z,z.__name__=\"Canvas\",l.prototype.default_view=x,l.internal((({Boolean:e})=>({hidpi:[e,!0],output_backend:[p.OutputBackend,\"canvas\"]})))},\n function _(t,e,s,n,i){n();const r=t(1),a=(0,r.__importDefault)(t(225)),_=t(15),h=t(19),o=t(43),l=(0,r.__importStar)(t(251)),c=t(252),p=t(9),u=t(8),v=t(27),d=t(230);class g{constructor(t){this.canvas_view=t,this.pan_start=new _.Signal(this,\"pan:start\"),this.pan=new _.Signal(this,\"pan\"),this.pan_end=new _.Signal(this,\"pan:end\"),this.pinch_start=new _.Signal(this,\"pinch:start\"),this.pinch=new _.Signal(this,\"pinch\"),this.pinch_end=new _.Signal(this,\"pinch:end\"),this.rotate_start=new _.Signal(this,\"rotate:start\"),this.rotate=new _.Signal(this,\"rotate\"),this.rotate_end=new _.Signal(this,\"rotate:end\"),this.tap=new _.Signal(this,\"tap\"),this.doubletap=new _.Signal(this,\"doubletap\"),this.press=new _.Signal(this,\"press\"),this.pressup=new _.Signal(this,\"pressup\"),this.move_enter=new _.Signal(this,\"move:enter\"),this.move=new _.Signal(this,\"move\"),this.move_exit=new _.Signal(this,\"move:exit\"),this.scroll=new _.Signal(this,\"scroll\"),this.keydown=new _.Signal(this,\"keydown\"),this.keyup=new _.Signal(this,\"keyup\"),this.hammer=new a.default(this.hit_area,{touchAction:\"auto\",inputClass:a.default.TouchMouseInput}),this._prev_move=null,this._curr_pan=null,this._curr_pinch=null,this._curr_rotate=null,this._configure_hammerjs(),this.hit_area.addEventListener(\"mousemove\",(t=>this._mouse_move(t))),this.hit_area.addEventListener(\"mouseenter\",(t=>this._mouse_enter(t))),this.hit_area.addEventListener(\"mouseleave\",(t=>this._mouse_exit(t))),this.hit_area.addEventListener(\"contextmenu\",(t=>this._context_menu(t))),this.hit_area.addEventListener(\"wheel\",(t=>this._mouse_wheel(t))),document.addEventListener(\"keydown\",this),document.addEventListener(\"keyup\",this),this.menu=new d.ContextMenu([],{prevent_hide:t=>2==t.button&&t.target==this.hit_area}),this.hit_area.appendChild(this.menu.el)}get hit_area(){return this.canvas_view.events_el}destroy(){this.menu.remove(),this.hammer.destroy(),document.removeEventListener(\"keydown\",this),document.removeEventListener(\"keyup\",this)}handleEvent(t){\"keydown\"==t.type?this._key_down(t):\"keyup\"==t.type&&this._key_up(t)}_configure_hammerjs(){this.hammer.get(\"doubletap\").recognizeWith(\"tap\"),this.hammer.get(\"tap\").requireFailure(\"doubletap\"),this.hammer.get(\"doubletap\").dropRequireFailure(\"tap\"),this.hammer.on(\"doubletap\",(t=>this._doubletap(t))),this.hammer.on(\"tap\",(t=>this._tap(t))),this.hammer.on(\"press\",(t=>this._press(t))),this.hammer.on(\"pressup\",(t=>this._pressup(t))),this.hammer.get(\"pan\").set({direction:a.default.DIRECTION_ALL}),this.hammer.on(\"panstart\",(t=>this._pan_start(t))),this.hammer.on(\"pan\",(t=>this._pan(t))),this.hammer.on(\"panend\",(t=>this._pan_end(t))),this.hammer.get(\"pinch\").set({enable:!0}),this.hammer.on(\"pinchstart\",(t=>this._pinch_start(t))),this.hammer.on(\"pinch\",(t=>this._pinch(t))),this.hammer.on(\"pinchend\",(t=>this._pinch_end(t))),this.hammer.get(\"rotate\").set({enable:!0}),this.hammer.on(\"rotatestart\",(t=>this._rotate_start(t))),this.hammer.on(\"rotate\",(t=>this._rotate(t))),this.hammer.on(\"rotateend\",(t=>this._rotate_end(t)))}register_tool(t){const e=t.model.event_type;null!=e&&((0,u.isString)(e)?this._register_tool(t,e):e.forEach(((e,s)=>this._register_tool(t,e,s<1))))}_register_tool(t,e,s=!0){const n=t,{id:i}=n.model,r=t=>e=>{e.id==i&&t(e.e)},a=t=>e=>{t(e.e)};switch(e){case\"pan\":null!=n._pan_start&&n.connect(this.pan_start,r(n._pan_start.bind(n))),null!=n._pan&&n.connect(this.pan,r(n._pan.bind(n))),null!=n._pan_end&&n.connect(this.pan_end,r(n._pan_end.bind(n)));break;case\"pinch\":null!=n._pinch_start&&n.connect(this.pinch_start,r(n._pinch_start.bind(n))),null!=n._pinch&&n.connect(this.pinch,r(n._pinch.bind(n))),null!=n._pinch_end&&n.connect(this.pinch_end,r(n._pinch_end.bind(n)));break;case\"rotate\":null!=n._rotate_start&&n.connect(this.rotate_start,r(n._rotate_start.bind(n))),null!=n._rotate&&n.connect(this.rotate,r(n._rotate.bind(n))),null!=n._rotate_end&&n.connect(this.rotate_end,r(n._rotate_end.bind(n)));break;case\"move\":null!=n._move_enter&&n.connect(this.move_enter,r(n._move_enter.bind(n))),null!=n._move&&n.connect(this.move,r(n._move.bind(n))),null!=n._move_exit&&n.connect(this.move_exit,r(n._move_exit.bind(n)));break;case\"tap\":null!=n._tap&&n.connect(this.tap,r(n._tap.bind(n))),null!=n._doubletap&&n.connect(this.doubletap,r(n._doubletap.bind(n)));break;case\"press\":null!=n._press&&n.connect(this.press,r(n._press.bind(n))),null!=n._pressup&&n.connect(this.pressup,r(n._pressup.bind(n)));break;case\"scroll\":null!=n._scroll&&n.connect(this.scroll,r(n._scroll.bind(n)));break;default:throw new Error(`unsupported event_type: ${e}`)}s&&(null!=n._keydown&&n.connect(this.keydown,a(n._keydown.bind(n))),null!=n._keyup&&n.connect(this.keyup,a(n._keyup.bind(n))),v.is_mobile&&null!=n._scroll&&\"pinch\"==e&&(h.logger.debug(\"Registering scroll on touch screen\"),n.connect(this.scroll,r(n._scroll.bind(n)))))}_hit_test_renderers(t,e,s){var n;const i=t.get_renderer_views();for(const t of(0,p.reversed)(i))if(null===(n=t.interactive_hit)||void 0===n?void 0:n.call(t,e,s))return t;return null}set_cursor(t=\"default\"){this.hit_area.style.cursor=t}_hit_test_frame(t,e,s){return t.frame.bbox.contains(e,s)}_hit_test_canvas(t,e,s){return t.layout.bbox.contains(e,s)}_hit_test_plot(t,e){for(const s of this.canvas_view.plot_views)if(s.layout.bbox.relative().contains(t,e))return s;return null}_trigger(t,e,s){var n;const{sx:i,sy:r}=e,a=this._hit_test_plot(i,r),_=t=>{const[s,n]=[i,r];return Object.assign(Object.assign({},e),{sx:s,sy:n})};if(\"panstart\"==e.type||\"pan\"==e.type||\"panend\"==e.type){let n;if(\"panstart\"==e.type&&null!=a?(this._curr_pan={plot_view:a},n=a):\"pan\"==e.type&&null!=this._curr_pan?n=this._curr_pan.plot_view:\"panend\"==e.type&&null!=this._curr_pan?(n=this._curr_pan.plot_view,this._curr_pan=null):n=null,null!=n){const e=_();this.__trigger(n,t,e,s)}}else if(\"pinchstart\"==e.type||\"pinch\"==e.type||\"pinchend\"==e.type){let n;if(\"pinchstart\"==e.type&&null!=a?(this._curr_pinch={plot_view:a},n=a):\"pinch\"==e.type&&null!=this._curr_pinch?n=this._curr_pinch.plot_view:\"pinchend\"==e.type&&null!=this._curr_pinch?(n=this._curr_pinch.plot_view,this._curr_pinch=null):n=null,null!=n){const e=_();this.__trigger(n,t,e,s)}}else if(\"rotatestart\"==e.type||\"rotate\"==e.type||\"rotateend\"==e.type){let n;if(\"rotatestart\"==e.type&&null!=a?(this._curr_rotate={plot_view:a},n=a):\"rotate\"==e.type&&null!=this._curr_rotate?n=this._curr_rotate.plot_view:\"rotateend\"==e.type&&null!=this._curr_rotate?(n=this._curr_rotate.plot_view,this._curr_rotate=null):n=null,null!=n){const e=_();this.__trigger(n,t,e,s)}}else if(\"mouseenter\"==e.type||\"mousemove\"==e.type||\"mouseleave\"==e.type){const h=null===(n=this._prev_move)||void 0===n?void 0:n.plot_view;if(null!=h&&(\"mouseleave\"==e.type||h!=a)){const{sx:t,sy:e}=_();this.__trigger(h,this.move_exit,{type:\"mouseleave\",sx:t,sy:e,shiftKey:!1,ctrlKey:!1},s)}if(null!=a&&(\"mouseenter\"==e.type||h!=a)){const{sx:t,sy:e}=_();this.__trigger(a,this.move_enter,{type:\"mouseenter\",sx:t,sy:e,shiftKey:!1,ctrlKey:!1},s)}if(null!=a&&\"mousemove\"==e.type){const e=_();this.__trigger(a,t,e,s)}this._prev_move={sx:i,sy:r,plot_view:a}}else if(null!=a){const e=_();this.__trigger(a,t,e,s)}}__trigger(t,e,s,n){var i,r,a;const _=t.model.toolbar.gestures,h=e.name.split(\":\")[0],o=this._hit_test_renderers(t,s.sx,s.sy),l=this._hit_test_canvas(t,s.sx,s.sy);switch(h){case\"move\":{const n=_.move.active;null!=n&&this.trigger(e,s,n.id);const r=t.model.toolbar.inspectors.filter((t=>t.active));let a=\"default\";null!=o?(a=null!==(i=o.cursor(s.sx,s.sy))&&void 0!==i?i:a,(0,p.is_empty)(r)||(e=this.move_exit)):this._hit_test_frame(t,s.sx,s.sy)&&((0,p.is_empty)(r)||(a=\"crosshair\")),this.set_cursor(a),t.set_toolbar_visibility(l),r.map((t=>this.trigger(e,s,t.id)));break}case\"tap\":{const{target:i}=n;if(null!=i&&i!=this.hit_area)return;if(null===(r=null==o?void 0:o.on_hit)||void 0===r||r.call(o,s.sx,s.sy),this._hit_test_frame(t,s.sx,s.sy)){const t=_.tap.active;null!=t&&this.trigger(e,s,t.id)}break}case\"doubletap\":if(this._hit_test_frame(t,s.sx,s.sy)){const t=null!==(a=_.doubletap.active)&&void 0!==a?a:_.tap.active;null!=t&&this.trigger(e,s,t.id)}break;case\"scroll\":{const t=_[v.is_mobile?\"pinch\":\"scroll\"].active;null!=t&&(n.preventDefault(),n.stopPropagation(),this.trigger(e,s,t.id));break}case\"pan\":{const t=_.pan.active;null!=t&&(n.preventDefault(),this.trigger(e,s,t.id));break}default:{const t=_[h].active;null!=t&&this.trigger(e,s,t.id)}}this._trigger_bokeh_event(t,s)}trigger(t,e,s=null){t.emit({id:s,e})}_trigger_bokeh_event(t,e){const s=(()=>{const{sx:s,sy:n}=e,i=t.frame.x_scale.invert(s),r=t.frame.y_scale.invert(n);switch(e.type){case\"wheel\":return new l.MouseWheel(s,n,i,r,e.delta);case\"mousemove\":return new l.MouseMove(s,n,i,r);case\"mouseenter\":return new l.MouseEnter(s,n,i,r);case\"mouseleave\":return new l.MouseLeave(s,n,i,r);case\"tap\":return new l.Tap(s,n,i,r);case\"doubletap\":return new l.DoubleTap(s,n,i,r);case\"press\":return new l.Press(s,n,i,r);case\"pressup\":return new l.PressUp(s,n,i,r);case\"pan\":return new l.Pan(s,n,i,r,e.deltaX,e.deltaY);case\"panstart\":return new l.PanStart(s,n,i,r);case\"panend\":return new l.PanEnd(s,n,i,r);case\"pinch\":return new l.Pinch(s,n,i,r,e.scale);case\"pinchstart\":return new l.PinchStart(s,n,i,r);case\"pinchend\":return new l.PinchEnd(s,n,i,r);case\"rotate\":return new l.Rotate(s,n,i,r,e.rotation);case\"rotatestart\":return new l.RotateStart(s,n,i,r);case\"rotateend\":return new l.RotateEnd(s,n,i,r);default:return}})();null!=s&&t.model.trigger_event(s)}_get_sxy(t){const{pageX:e,pageY:s}=function(t){return\"undefined\"!=typeof TouchEvent&&t instanceof TouchEvent}(t)?(0!=t.touches.length?t.touches:t.changedTouches)[0]:t,{left:n,top:i}=(0,o.offset)(this.hit_area);return{sx:e-n,sy:s-i}}_pan_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{deltaX:t.deltaX,deltaY:t.deltaY,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_pinch_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{scale:t.scale,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_rotate_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{rotation:t.rotation,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_tap_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_move_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t)),{shiftKey:t.shiftKey,ctrlKey:t.ctrlKey})}_scroll_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t)),{delta:(0,c.getDeltaY)(t),shiftKey:t.shiftKey,ctrlKey:t.ctrlKey})}_key_event(t){return{type:t.type,keyCode:t.keyCode}}_pan_start(t){const 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p=g-l;e.translate(s,u),e.rotate(l),e.beginPath(),e.moveTo(c,0),e.arc(0,0,c,0,p,d),e.rotate(p),e.lineTo(h,0),e.arc(0,0,h,0,-p,!d),e.closePath(),e.rotate(-p-l),e.translate(-s,-u),this.visuals.fill.apply(e,t),this.visuals.hatch.apply(e,t),this.visuals.line.apply(e,t)}}_hit_point(e){const{sx:s,sy:t}=e,i=this.renderer.xscale.invert(s),r=this.renderer.yscale.invert(t),n=s-this.max_souter_radius,a=s+this.max_souter_radius,[_,o]=this.renderer.xscale.r_invert(n,a),d=t-this.max_souter_radius,u=t+this.max_souter_radius,[h,c]=this.renderer.yscale.r_invert(d,u),p=[];for(const e of this.index.indices({x0:_,x1:o,y0:h,y1:c})){const s=this.souter_radius[e]**2,t=this.sinner_radius[e]**2,[n,a]=this.renderer.xscale.r_compute(i,this._x[e]),[_,o]=this.renderer.yscale.r_compute(r,this._y[e]),d=(n-a)**2+(_-o)**2;d<=s&&d>=t&&p.push(e)}const x=\"anticlock\"==this.model.direction,m=[];for(const e of p){const i=Math.atan2(t-this.sy[e],s-this.sx[e]);(0,l.angle_between)(-i,-this.start_angle.get(e),-this.end_angle.get(e),x)&&m.push(e)}return new g.Selection({indices:m})}draw_legend_for_index(e,s,t){(0,o.generic_area_vector_legend)(this.visuals,e,s,t)}scenterxy(e){const s=(this.sinner_radius[e]+this.souter_radius[e])/2,t=(this.start_angle.get(e)+this.end_angle.get(e))/2;return[this.sx[e]+s*Math.cos(t),this.sy[e]+s*Math.sin(t)]}}t.AnnularWedgeView=x,x.__name__=\"AnnularWedgeView\";class m extends _.XYGlyph{constructor(e){super(e)}}t.AnnularWedge=m,a=m,m.__name__=\"AnnularWedge\",a.prototype.default_view=x,a.mixins([d.LineVector,d.FillVector,d.HatchVector]),a.define((({})=>({direction:[h.Direction,\"anticlock\"],inner_radius:[c.DistanceSpec,{field:\"inner_radius\"}],outer_radius:[c.DistanceSpec,{field:\"outer_radius\"}],start_angle:[c.AngleSpec,{field:\"start_angle\"}],end_angle:[c.AngleSpec,{field:\"end_angle\"}]})))},\n function _(s,e,i,r,t){r();const n=s(1);var a;const u=s(178),o=s(24),_=s(48),d=(0,n.__importStar)(s(18)),h=s(27),c=s(72);class l extends u.XYGlyphView{_map_data(){\"data\"==this.model.properties.inner_radius.units?this.sinner_radius=this.sdist(this.renderer.xscale,this._x,this.inner_radius):this.sinner_radius=(0,o.to_screen)(this.inner_radius),\"data\"==this.model.properties.outer_radius.units?this.souter_radius=this.sdist(this.renderer.xscale,this._x,this.outer_radius):this.souter_radius=(0,o.to_screen)(this.outer_radius)}_render(s,e,i){const{sx:r,sy:t,sinner_radius:n,souter_radius:a}=null!=i?i:this;for(const i of e){const e=r[i],u=t[i],o=n[i],_=a[i];if(isFinite(e+u+o+_)){if(s.beginPath(),h.is_ie)for(const i of[!1,!0])s.moveTo(e,u),s.arc(e,u,o,0,Math.PI,i),s.moveTo(e+_,u),s.arc(e,u,_,Math.PI,0,!i);else s.arc(e,u,o,0,2*Math.PI,!0),s.moveTo(e+_,u),s.arc(e,u,_,2*Math.PI,0,!1);this.visuals.fill.apply(s,i),this.visuals.hatch.apply(s,i),this.visuals.line.apply(s,i)}}}_hit_point(s){const{sx:e,sy:i}=s,r=this.renderer.xscale.invert(e),t=this.renderer.yscale.invert(i);let n,a,u,o;if(\"data\"==this.model.properties.outer_radius.units)n=r-this.max_outer_radius,u=r+this.max_outer_radius,a=t-this.max_outer_radius,o=t+this.max_outer_radius;else{const s=e-this.max_outer_radius,r=e+this.max_outer_radius;[n,u]=this.renderer.xscale.r_invert(s,r);const t=i-this.max_outer_radius,_=i+this.max_outer_radius;[a,o]=this.renderer.yscale.r_invert(t,_)}const _=[];for(const s of this.index.indices({x0:n,x1:u,y0:a,y1:o})){const e=this.souter_radius[s]**2,i=this.sinner_radius[s]**2,[n,a]=this.renderer.xscale.r_compute(r,this._x[s]),[u,o]=this.renderer.yscale.r_compute(t,this._y[s]),d=(n-a)**2+(u-o)**2;d<=e&&d>=i&&_.push(s)}return new c.Selection({indices:_})}draw_legend_for_index(s,{x0:e,y0:i,x1:r,y1:t},n){const a=n+1,u=new Array(a);u[n]=(e+r)/2;const o=new Array(a);o[n]=(i+t)/2;const _=.5*Math.min(Math.abs(r-e),Math.abs(t-i)),d=new Array(a);d[n]=.4*_;const h=new Array(a);h[n]=.8*_,this._render(s,[n],{sx:u,sy:o,sinner_radius:d,souter_radius:h})}}i.AnnulusView=l,l.__name__=\"AnnulusView\";class x extends u.XYGlyph{constructor(s){super(s)}}i.Annulus=x,a=x,x.__name__=\"Annulus\",a.prototype.default_view=l,a.mixins([_.LineVector,_.FillVector,_.HatchVector]),a.define((({})=>({inner_radius:[d.DistanceSpec,{field:\"inner_radius\"}],outer_radius:[d.DistanceSpec,{field:\"outer_radius\"}]})))},\n function _(e,i,s,t,n){t();const r=e(1);var a;const c=e(178),d=e(184),l=e(48),_=e(24),o=e(20),u=(0,r.__importStar)(e(18));class h extends c.XYGlyphView{_map_data(){\"data\"==this.model.properties.radius.units?this.sradius=this.sdist(this.renderer.xscale,this._x,this.radius):this.sradius=(0,_.to_screen)(this.radius)}_render(e,i,s){if(this.visuals.line.doit){const{sx:t,sy:n,sradius:r,start_angle:a,end_angle:c}=null!=s?s:this,d=\"anticlock\"==this.model.direction;for(const s of i){const i=t[s],l=n[s],_=r[s],o=a.get(s),u=c.get(s);isFinite(i+l+_+o+u)&&(e.beginPath(),e.arc(i,l,_,o,u,d),this.visuals.line.set_vectorize(e,s),e.stroke())}}}draw_legend_for_index(e,i,s){(0,d.generic_line_vector_legend)(this.visuals,e,i,s)}}s.ArcView=h,h.__name__=\"ArcView\";class g extends c.XYGlyph{constructor(e){super(e)}}s.Arc=g,a=g,g.__name__=\"Arc\",a.prototype.default_view=h,a.mixins(l.LineVector),a.define((({})=>({direction:[o.Direction,\"anticlock\"],radius:[u.DistanceSpec,{field:\"radius\"}],start_angle:[u.AngleSpec,{field:\"start_angle\"}],end_angle:[u.AngleSpec,{field:\"end_angle\"}]})))},\n function _(e,t,i,n,s){n();const o=e(1);var c;const r=e(48),a=e(179),_=e(184),d=e(78),l=(0,o.__importStar)(e(18));function x(e,t,i,n,s,o,c,r){const a=[],_=[[],[]];for(let _=0;_<=2;_++){let d,l,x;if(0===_?(l=6*e-12*i+6*s,d=-3*e+9*i-9*s+3*c,x=3*i-3*e):(l=6*t-12*n+6*o,d=-3*t+9*n-9*o+3*r,x=3*n-3*t),Math.abs(d)<1e-12){if(Math.abs(l)<1e-12)continue;const e=-x/l;0({x0:[l.XCoordinateSpec,{field:\"x0\"}],y0:[l.YCoordinateSpec,{field:\"y0\"}],x1:[l.XCoordinateSpec,{field:\"x1\"}],y1:[l.YCoordinateSpec,{field:\"y1\"}],cx0:[l.XCoordinateSpec,{field:\"cx0\"}],cy0:[l.YCoordinateSpec,{field:\"cy0\"}],cx1:[l.XCoordinateSpec,{field:\"cx1\"}],cy1:[l.YCoordinateSpec,{field:\"cy1\"}]}))),c.mixins(r.LineVector)},\n function _(s,i,e,t,r){t();const a=s(1);var n;const h=s(178),d=s(48),l=s(24),_=s(20),c=(0,a.__importStar)(s(185)),u=(0,a.__importStar)(s(18)),o=s(9),x=s(12),m=s(72);class p extends h.XYGlyphView{async lazy_initialize(){await super.lazy_initialize();const{webgl:i}=this.renderer.plot_view.canvas_view;if(null!=i&&i.regl_wrapper.has_webgl){const{CircleGL:e}=await Promise.resolve().then((()=>(0,a.__importStar)(s(423))));this.glglyph=new e(i.regl_wrapper,this)}}get use_radius(){return!(this.radius.is_Scalar()&&isNaN(this.radius.value))}_set_data(s){super._set_data(s);const i=(()=>{if(this.use_radius)return 2*this.max_radius;{const{size:s}=this;return s.is_Scalar()?s.value:(0,x.max)(s.array)}})();this._configure(\"max_size\",{value:i})}_map_data(){if(this.use_radius)if(\"data\"==this.model.properties.radius.units)switch(this.model.radius_dimension){case\"x\":this.sradius=this.sdist(this.renderer.xscale,this._x,this.radius);break;case\"y\":this.sradius=this.sdist(this.renderer.yscale,this._y,this.radius);break;case\"max\":{const s=this.sdist(this.renderer.xscale,this._x,this.radius),i=this.sdist(this.renderer.yscale,this._y,this.radius);this.sradius=(0,x.map)(s,((s,e)=>Math.max(s,i[e])));break}case\"min\":{const s=this.sdist(this.renderer.xscale,this._x,this.radius),i=this.sdist(this.renderer.yscale,this._y,this.radius);this.sradius=(0,x.map)(s,((s,e)=>Math.min(s,i[e])));break}}else this.sradius=(0,l.to_screen)(this.radius);else{const s=l.ScreenArray.from(this.size);this.sradius=(0,x.map)(s,(s=>s/2))}}_mask_data(){const{frame:s}=this.renderer.plot_view,i=s.x_target,e=s.y_target;let t,r;return this.use_radius&&\"data\"==this.model.properties.radius.units?(t=i.map((s=>this.renderer.xscale.invert(s))).widen(this.max_radius),r=e.map((s=>this.renderer.yscale.invert(s))).widen(this.max_radius)):(t=i.widen(this.max_size).map((s=>this.renderer.xscale.invert(s))),r=e.widen(this.max_size).map((s=>this.renderer.yscale.invert(s)))),this.index.indices({x0:t.start,x1:t.end,y0:r.start,y1:r.end})}_render(s,i,e){const{sx:t,sy:r,sradius:a}=null!=e?e:this;for(const e of i){const i=t[e],n=r[e],h=a[e];isFinite(i+n+h)&&(s.beginPath(),s.arc(i,n,h,0,2*Math.PI,!1),this.visuals.fill.apply(s,e),this.visuals.hatch.apply(s,e),this.visuals.line.apply(s,e))}}_hit_point(s){const{sx:i,sy:e}=s,t=this.renderer.xscale.invert(i),r=this.renderer.yscale.invert(e),{hit_dilation:a}=this.model;let n,h,d,l;if(this.use_radius&&\"data\"==this.model.properties.radius.units)n=t-this.max_radius*a,h=t+this.max_radius*a,d=r-this.max_radius*a,l=r+this.max_radius*a;else{const s=i-this.max_size*a,t=i+this.max_size*a;[n,h]=this.renderer.xscale.r_invert(s,t);const r=e-this.max_size*a,_=e+this.max_size*a;[d,l]=this.renderer.yscale.r_invert(r,_)}const _=this.index.indices({x0:n,x1:h,y0:d,y1:l}),c=[];if(this.use_radius&&\"data\"==this.model.properties.radius.units)for(const s of _){const i=(this.sradius[s]*a)**2,[e,n]=this.renderer.xscale.r_compute(t,this._x[s]),[h,d]=this.renderer.yscale.r_compute(r,this._y[s]);(e-n)**2+(h-d)**2<=i&&c.push(s)}else for(const s of _){const t=(this.sradius[s]*a)**2;(this.sx[s]-i)**2+(this.sy[s]-e)**2<=t&&c.push(s)}return new m.Selection({indices:c})}_hit_span(s){const{sx:i,sy:e}=s,t=this.bounds();let r,a,n,h;if(\"h\"==s.direction){let s,e;if(n=t.y0,h=t.y1,this.use_radius&&\"data\"==this.model.properties.radius.units)s=i-this.max_radius,e=i+this.max_radius,[r,a]=this.renderer.xscale.r_invert(s,e);else{const t=this.max_size/2;s=i-t,e=i+t,[r,a]=this.renderer.xscale.r_invert(s,e)}}else{let s,i;if(r=t.x0,a=t.x1,this.use_radius&&\"data\"==this.model.properties.radius.units)s=e-this.max_radius,i=e+this.max_radius,[n,h]=this.renderer.yscale.r_invert(s,i);else{const t=this.max_size/2;s=e-t,i=e+t,[n,h]=this.renderer.yscale.r_invert(s,i)}}const d=[...this.index.indices({x0:r,x1:a,y0:n,y1:h})];return new m.Selection({indices:d})}_hit_rect(s){const{sx0:i,sx1:e,sy0:t,sy1:r}=s,[a,n]=this.renderer.xscale.r_invert(i,e),[h,d]=this.renderer.yscale.r_invert(t,r),l=[...this.index.indices({x0:a,x1:n,y0:h,y1:d})];return new m.Selection({indices:l})}_hit_poly(s){const{sx:i,sy:e}=s,t=(0,o.range)(0,this.sx.length),r=[];for(let s=0,a=t.length;s({angle:[u.AngleSpec,0],size:[u.ScreenSizeSpec,{value:4}],radius:[u.NullDistanceSpec,null],radius_dimension:[_.RadiusDimension,\"x\"],hit_dilation:[s,1]})))},\n function _(e,l,s,i,_){var p;i();const t=e(274);class a extends t.EllipseOvalView{}s.EllipseView=a,a.__name__=\"EllipseView\";class n extends t.EllipseOval{constructor(e){super(e)}}s.Ellipse=n,p=n,n.__name__=\"Ellipse\",p.prototype.default_view=a},\n function _(t,s,e,i,h){i();const n=t(1),r=t(275),a=(0,n.__importStar)(t(185)),l=t(24),_=t(72),o=(0,n.__importStar)(t(18));class d extends r.CenterRotatableView{_map_data(){\"data\"==this.model.properties.width.units?this.sw=this.sdist(this.renderer.xscale,this._x,this.width,\"center\"):this.sw=(0,l.to_screen)(this.width),\"data\"==this.model.properties.height.units?this.sh=this.sdist(this.renderer.yscale,this._y,this.height,\"center\"):this.sh=(0,l.to_screen)(this.height)}_render(t,s,e){const{sx:i,sy:h,sw:n,sh:r,angle:a}=null!=e?e:this;for(const e of s){const s=i[e],l=h[e],_=n[e],o=r[e],d=a.get(e);isFinite(s+l+_+o+d)&&(t.beginPath(),t.ellipse(s,l,_/2,o/2,d,0,2*Math.PI),this.visuals.fill.apply(t,e),this.visuals.hatch.apply(t,e),this.visuals.line.apply(t,e))}}_hit_point(t){let s,e,i,h,n,r,l,o,d;const{sx:c,sy:p}=t,w=this.renderer.xscale.invert(c),x=this.renderer.yscale.invert(p);\"data\"==this.model.properties.width.units?(s=w-this.max_width,e=w+this.max_width):(r=c-this.max_width,l=c+this.max_width,[s,e]=this.renderer.xscale.r_invert(r,l)),\"data\"==this.model.properties.height.units?(i=x-this.max_height,h=x+this.max_height):(o=p-this.max_height,d=p+this.max_height,[i,h]=this.renderer.yscale.r_invert(o,d));const m=this.index.indices({x0:s,x1:e,y0:i,y1:h}),y=[];for(const t of m)n=a.point_in_ellipse(c,p,this.angle.get(t),this.sh[t]/2,this.sw[t]/2,this.sx[t],this.sy[t]),n&&y.push(t);return new _.Selection({indices:y})}draw_legend_for_index(t,{x0:s,y0:e,x1:i,y1:h},n){const r=n+1,a=new Array(r);a[n]=(s+i)/2;const l=new Array(r);l[n]=(e+h)/2;const _=this.sw[n]/this.sh[n],d=.8*Math.min(Math.abs(i-s),Math.abs(h-e)),c=new Array(r),p=new Array(r);_>1?(c[n]=d,p[n]=d/_):(c[n]=d*_,p[n]=d);const w=new o.UniformScalar(0,r);this._render(t,[n],{sx:a,sy:l,sw:c,sh:p,angle:w})}}e.EllipseOvalView=d,d.__name__=\"EllipseOvalView\";class c extends r.CenterRotatable{constructor(t){super(t)}}e.EllipseOval=c,c.__name__=\"EllipseOval\"},\n function _(e,t,i,a,n){a();const s=e(1);var r;const h=e(178),o=e(48),_=(0,s.__importStar)(e(18));class c extends h.XYGlyphView{get max_w2(){return\"data\"==this.model.properties.width.units?this.max_width/2:0}get max_h2(){return\"data\"==this.model.properties.height.units?this.max_height/2:0}_bounds({x0:e,x1:t,y0:i,y1:a}){const{max_w2:n,max_h2:s}=this;return{x0:e-n,x1:t+n,y0:i-s,y1:a+s}}}i.CenterRotatableView=c,c.__name__=\"CenterRotatableView\";class l extends h.XYGlyph{constructor(e){super(e)}}i.CenterRotatable=l,r=l,l.__name__=\"CenterRotatable\",r.mixins([o.LineVector,o.FillVector,o.HatchVector]),r.define((({})=>({angle:[_.AngleSpec,0],width:[_.DistanceSpec,{field:\"width\"}],height:[_.DistanceSpec,{field:\"height\"}]})))},\n function _(t,e,s,i,r){i();const h=t(1);var a;const n=t(277),_=t(24),o=(0,h.__importStar)(t(18));class l extends n.BoxView{async lazy_initialize(){await super.lazy_initialize();const{webgl:e}=this.renderer.plot_view.canvas_view;if(null!=e&&e.regl_wrapper.has_webgl){const{LRTBGL:s}=await Promise.resolve().then((()=>(0,h.__importStar)(t(427))));this.glglyph=new s(e.regl_wrapper,this)}}scenterxy(t){return[(this.sleft[t]+this.sright[t])/2,this.sy[t]]}_lrtb(t){const e=this._left[t],s=this._right[t],i=this._y[t],r=this.height.get(t)/2;return[Math.min(e,s),Math.max(e,s),i+r,i-r]}_map_data(){this.sy=this.renderer.yscale.v_compute(this._y),this.sh=this.sdist(this.renderer.yscale,this._y,this.height,\"center\"),this.sleft=this.renderer.xscale.v_compute(this._left),this.sright=this.renderer.xscale.v_compute(this._right);const t=this.sy.length;this.stop=new _.ScreenArray(t),this.sbottom=new _.ScreenArray(t);for(let e=0;e({left:[o.XCoordinateSpec,{value:0}],y:[o.YCoordinateSpec,{field:\"y\"}],height:[o.NumberSpec,{value:1}],right:[o.XCoordinateSpec,{field:\"right\"}]})))},\n function _(t,e,s,r,i){var n;r();const a=t(48),h=t(179),o=t(184),c=t(72);class _ extends h.GlyphView{get_anchor_point(t,e,s){const r=Math.min(this.sleft[e],this.sright[e]),i=Math.max(this.sright[e],this.sleft[e]),n=Math.min(this.stop[e],this.sbottom[e]),a=Math.max(this.sbottom[e],this.stop[e]);switch(t){case\"top_left\":return{x:r,y:n};case\"top\":case\"top_center\":return{x:(r+i)/2,y:n};case\"top_right\":return{x:i,y:n};case\"bottom_left\":return{x:r,y:a};case\"bottom\":case\"bottom_center\":return{x:(r+i)/2,y:a};case\"bottom_right\":return{x:i,y:a};case\"left\":case\"center_left\":return{x:r,y:(n+a)/2};case\"center\":case\"center_center\":return{x:(r+i)/2,y:(n+a)/2};case\"right\":case\"center_right\":return{x:i,y:(n+a)/2}}}_index_data(t){const{min:e,max:s}=Math,{data_size:r}=this;for(let i=0;i(0,n.__importStar)(e(425))));this.glglyph=new s(t.regl_wrapper,this)}}scenterxy(e){return[this.sx[e],this.sy[e]]}_set_data(){const{orientation:e,size:t,aspect_scale:s}=this.model,{q:i,r}=this,n=this.q.length;this._x=new Float64Array(n),this._y=new Float64Array(n);const{_x:a,_y:l}=this,o=Math.sqrt(3);if(\"pointytop\"==e)for(let e=0;e({r:[c.NumberSpec,{field:\"r\"}],q:[c.NumberSpec,{field:\"q\"}],scale:[c.NumberSpec,1],size:[e,1],aspect_scale:[e,1],orientation:[_.HexTileOrientation,\"pointytop\"]}))),a.override({line_color:null})},\n function _(e,a,t,_,r){var n;_();const s=e(280),o=e(173),i=e(201);class p extends s.ImageBaseView{connect_signals(){super.connect_signals(),this.connect(this.model.color_mapper.change,(()=>this._update_image()))}_update_image(){null!=this.image_data&&(this._set_data(null),this.renderer.request_render())}_flat_img_to_buf8(e){return this.model.color_mapper.rgba_mapper.v_compute(e)}}t.ImageView=p,p.__name__=\"ImageView\";class m extends s.ImageBase{constructor(e){super(e)}}t.Image=m,n=m,m.__name__=\"Image\",n.prototype.default_view=p,n.define((({Ref:e})=>({color_mapper:[e(o.ColorMapper),()=>new i.LinearColorMapper({palette:[\"#000000\",\"#252525\",\"#525252\",\"#737373\",\"#969696\",\"#bdbdbd\",\"#d9d9d9\",\"#f0f0f0\",\"#ffffff\"]})]})))},\n function _(e,t,i,s,a){s();const h=e(1);var n;const r=e(178),_=e(24),d=(0,h.__importStar)(e(18)),l=e(72),g=e(9),o=e(29),c=e(11);class m extends r.XYGlyphView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.global_alpha.change,(()=>this.renderer.request_render()))}_render(e,t,i){const{image_data:s,sx:a,sy:h,sw:n,sh:r,global_alpha:_}=null!=i?i:this,d=e.getImageSmoothingEnabled();e.setImageSmoothingEnabled(!1);const l=_.is_Scalar();l&&(e.globalAlpha=_.value);for(const i of t){const t=s[i],_=a[i],d=h[i],g=n[i],o=r[i],c=this.global_alpha.get(i);if(null==t||!isFinite(_+d+g+o+c))continue;l||(e.globalAlpha=c);const m=d;e.translate(0,m),e.scale(1,-1),e.translate(0,-m),e.drawImage(t,0|_,0|d,g,o),e.translate(0,m),e.scale(1,-1),e.translate(0,-m)}e.setImageSmoothingEnabled(d)}_set_data(e){this._set_width_heigh_data();for(let t=0,i=this.image.length;t({image:[d.NDArraySpec,{field:\"image\"}],dw:[d.DistanceSpec,{field:\"dw\"}],dh:[d.DistanceSpec,{field:\"dh\"}],global_alpha:[d.NumberSpec,{value:1}],dilate:[e,!1]})))},\n function _(e,a,t,r,_){var n;r();const s=e(280),m=e(8);class i extends s.ImageBaseView{_flat_img_to_buf8(e){let a;return a=(0,m.isArray)(e)?new Uint32Array(e):e,new Uint8ClampedArray(a.buffer)}}t.ImageRGBAView=i,i.__name__=\"ImageRGBAView\";class g extends s.ImageBase{constructor(e){super(e)}}t.ImageRGBA=g,n=g,g.__name__=\"ImageRGBA\",n.prototype.default_view=i},\n function _(e,t,s,r,a){r();const i=e(1);var n;const o=e(178),c=e(24),_=e(20),h=(0,i.__importStar)(e(18)),l=e(12),d=e(136);class m extends o.XYGlyphView{constructor(){super(...arguments),this._images_rendered=!1,this._set_data_iteration=0}connect_signals(){super.connect_signals(),this.connect(this.model.properties.global_alpha.change,(()=>this.renderer.request_render()))}_index_data(e){const{data_size:t}=this;for(let s=0;s{this._set_data_iteration==r&&(this.image[a]=e,this.renderer.request_render())},attempts:t+1,timeout:s})}const a=\"data\"==this.model.properties.w.units,i=\"data\"==this.model.properties.h.units,n=this._x.length,o=new c.ScreenArray(a?2*n:n),_=new c.ScreenArray(i?2*n:n),{anchor:h}=this.model;function m(e,t){switch(h){case\"top_left\":case\"bottom_left\":case\"left\":case\"center_left\":return[e,e+t];case\"top\":case\"top_center\":case\"bottom\":case\"bottom_center\":case\"center\":case\"center_center\":return[e-t/2,e+t/2];case\"top_right\":case\"bottom_right\":case\"right\":case\"center_right\":return[e-t,e]}}function g(e,t){switch(h){case\"top_left\":case\"top\":case\"top_center\":case\"top_right\":return[e,e-t];case\"bottom_left\":case\"bottom\":case\"bottom_center\":case\"bottom_right\":return[e+t,e];case\"left\":case\"center_left\":case\"center\":case\"center_center\":case\"right\":case\"center_right\":return[e+t/2,e-t/2]}}if(a)for(let e=0;e({url:[h.StringSpec,{field:\"url\"}],anchor:[_.Anchor,\"top_left\"],global_alpha:[h.NumberSpec,{value:1}],angle:[h.AngleSpec,0],w:[h.NullDistanceSpec,null],h:[h.NullDistanceSpec,null],dilate:[e,!1],retry_attempts:[t,0],retry_timeout:[t,0]})))},\n function _(e,t,s,i,n){i();const o=e(1);var r;const l=e(78),_=e(48),c=(0,o.__importStar)(e(185)),h=(0,o.__importStar)(e(18)),a=e(12),d=e(13),x=e(179),y=e(184),g=e(72);class p extends x.GlyphView{_project_data(){l.inplace.project_xy(this._xs.array,this._ys.array)}_index_data(e){const{data_size:t}=this;for(let s=0;s0&&o.set(e,s)}return new g.Selection({indices:[...o.keys()],multiline_indices:(0,d.to_object)(o)})}get_interpolation_hit(e,t,s){const i=this._xs.get(e),n=this._ys.get(e),o=i[t],r=n[t],l=i[t+1],_=n[t+1];return(0,y.line_interpolation)(this.renderer,s,o,r,l,_)}draw_legend_for_index(e,t,s){(0,y.generic_line_vector_legend)(this.visuals,e,t,s)}scenterxy(){throw new Error(`${this}.scenterxy() is not implemented`)}}s.MultiLineView=p,p.__name__=\"MultiLineView\";class u extends x.Glyph{constructor(e){super(e)}}s.MultiLine=u,r=u,u.__name__=\"MultiLine\",r.prototype.default_view=p,r.define((({})=>({xs:[h.XCoordinateSeqSpec,{field:\"xs\"}],ys:[h.YCoordinateSeqSpec,{field:\"ys\"}]}))),r.mixins(_.LineVector)},\n function _(t,e,s,n,i){n();const o=t(1);var r;const l=t(181),h=t(179),a=t(184),_=t(12),c=t(12),d=t(48),x=(0,o.__importStar)(t(185)),y=(0,o.__importStar)(t(18)),f=t(72),g=t(11);class p extends h.GlyphView{_project_data(){}_index_data(t){const{min:e,max:s}=Math,{data_size:n}=this;for(let i=0;i1&&c.length>1)for(let s=1,n=i.length;s1){let r=!1;for(let t=1;t({xs:[y.XCoordinateSeqSeqSeqSpec,{field:\"xs\"}],ys:[y.YCoordinateSeqSeqSeqSpec,{field:\"ys\"}]}))),r.mixins([d.LineVector,d.FillVector,d.HatchVector])},\n function _(a,e,l,s,_){var t;s();const i=a(274),n=a(12);class p extends i.EllipseOvalView{_map_data(){super._map_data(),(0,n.mul)(this.sw,.75)}}l.OvalView=p,p.__name__=\"OvalView\";class v extends i.EllipseOval{constructor(a){super(a)}}l.Oval=v,t=v,v.__name__=\"Oval\",t.prototype.default_view=p},\n function _(e,t,s,i,n){i();const r=e(1);var a;const o=e(179),c=e(184),_=e(12),h=e(48),l=(0,r.__importStar)(e(185)),d=(0,r.__importStar)(e(18)),y=e(72),p=e(11),x=e(78);class f extends o.GlyphView{_project_data(){x.inplace.project_xy(this._xs.array,this._ys.array)}_index_data(e){const{data_size:t}=this;for(let s=0;s({xs:[d.XCoordinateSeqSpec,{field:\"xs\"}],ys:[d.YCoordinateSeqSpec,{field:\"ys\"}]}))),a.mixins([h.LineVector,h.FillVector,h.HatchVector])},\n function _(t,e,i,o,r){o();const s=t(1);var a;const n=t(277),l=(0,s.__importStar)(t(18));class _ extends n.BoxView{async lazy_initialize(){await super.lazy_initialize();const{webgl:e}=this.renderer.plot_view.canvas_view;if(null!=e&&e.regl_wrapper.has_webgl){const{LRTBGL:i}=await Promise.resolve().then((()=>(0,s.__importStar)(t(427))));this.glglyph=new i(e.regl_wrapper,this)}}scenterxy(t){return[this.sleft[t]/2+this.sright[t]/2,this.stop[t]/2+this.sbottom[t]/2]}_lrtb(t){return[this._left[t],this._right[t],this._top[t],this._bottom[t]]}}i.QuadView=_,_.__name__=\"QuadView\";class p extends n.Box{constructor(t){super(t)}}i.Quad=p,a=p,p.__name__=\"Quad\",a.prototype.default_view=_,a.define((({})=>({right:[l.XCoordinateSpec,{field:\"right\"}],bottom:[l.YCoordinateSpec,{field:\"bottom\"}],left:[l.XCoordinateSpec,{field:\"left\"}],top:[l.YCoordinateSpec,{field:\"top\"}]})))},\n function _(e,t,i,n,s){n();const c=e(1);var o;const r=e(48),a=e(78),_=e(179),d=e(184),l=(0,c.__importStar)(e(18));function x(e,t,i){if(t==(e+i)/2)return[e,i];{const n=(e-t)/(e-2*t+i),s=e*(1-n)**2+2*t*(1-n)*n+i*n**2;return[Math.min(e,i,s),Math.max(e,i,s)]}}class y extends _.GlyphView{_project_data(){a.inplace.project_xy(this._x0,this._y0),a.inplace.project_xy(this._x1,this._y1)}_index_data(e){const{_x0:t,_x1:i,_y0:n,_y1:s,_cx:c,_cy:o,data_size:r}=this;for(let a=0;a({x0:[l.XCoordinateSpec,{field:\"x0\"}],y0:[l.YCoordinateSpec,{field:\"y0\"}],x1:[l.XCoordinateSpec,{field:\"x1\"}],y1:[l.YCoordinateSpec,{field:\"y1\"}],cx:[l.XCoordinateSpec,{field:\"cx\"}],cy:[l.YCoordinateSpec,{field:\"cy\"}]}))),o.mixins(r.LineVector)},\n function _(e,t,s,i,n){i();const l=e(1);var a;const r=e(178),o=e(184),h=e(48),_=e(24),c=(0,l.__importStar)(e(18));class g extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.length.units?this.slength=this.sdist(this.renderer.xscale,this._x,this.length):this.slength=(0,_.to_screen)(this.length);const{width:e,height:t}=this.renderer.plot_view.frame.bbox,s=2*(e+t),{slength:i}=this;for(let e=0,t=i.length;e({length:[c.DistanceSpec,0],angle:[c.AngleSpec,0]})))},\n function _(t,e,s,i,r){var n,h=this&&this.__createBinding||(Object.create?function(t,e,s,i){void 0===i&&(i=s),Object.defineProperty(t,i,{enumerable:!0,get:function(){return e[s]}})}:function(t,e,s,i){void 0===i&&(i=s),t[i]=e[s]}),a=this&&this.__setModuleDefault||(Object.create?function(t,e){Object.defineProperty(t,\"default\",{enumerable:!0,value:e})}:function(t,e){t.default=e}),l=this&&this.__importStar||function(t){if(t&&t.__esModule)return t;var e={};if(null!=t)for(var s in t)\"default\"!==s&&Object.prototype.hasOwnProperty.call(t,s)&&h(e,t,s);return a(e,t),e};i();const o=t(275),c=t(184),_=t(24),d=t(12),f=t(72);class y extends o.CenterRotatableView{async lazy_initialize(){await super.lazy_initialize();const{webgl:e}=this.renderer.plot_view.canvas_view;if(null==e?void 0:e.regl_wrapper.has_webgl){const{RectGL:s}=await Promise.resolve().then((()=>l(t(429))));this.glglyph=new s(e.regl_wrapper,this)}}_map_data(){if(\"data\"==this.model.properties.width.units)[this.sw,this.sx0]=this._map_dist_corner_for_data_side_length(this._x,this.width,this.renderer.xscale);else{this.sw=(0,_.to_screen)(this.width);const t=this.sx.length;this.sx0=new _.ScreenArray(t);for(let e=0;e({dilate:[t,!1]})))},\n function _(e,t,r,a,s){a();const i=e(1);var n;const l=e(292),_=e(293),c=(0,i.__importStar)(e(18));class o extends l.MarkerView{async lazy_initialize(){await super.lazy_initialize();const{webgl:t}=this.renderer.plot_view.canvas_view;if(null!=t&&t.regl_wrapper.has_webgl){const{MultiMarkerGL:r}=await Promise.resolve().then((()=>(0,i.__importStar)(e(428))));this.glglyph=new r(t.regl_wrapper,this)}}_render(e,t,r){const{sx:a,sy:s,size:i,angle:n,marker:l}=null!=r?r:this;for(const r of t){const t=a[r],c=s[r],o=i.get(r),g=n.get(r),w=l.get(r);if(!isFinite(t+c+o+g)||null==w)continue;const p=o/2;e.beginPath(),e.translate(t,c),g&&e.rotate(g),_.marker_funcs[w](e,r,p,this.visuals),g&&e.rotate(-g),e.translate(-t,-c)}}draw_legend_for_index(e,{x0:t,x1:r,y0:a,y1:s},i){const n=i+1,l=this.marker.get(i),_=Object.assign(Object.assign({},this._get_legend_args({x0:t,x1:r,y0:a,y1:s},i)),{marker:new c.UniformScalar(l,n)});this._render(e,[i],_)}}r.ScatterView=o,o.__name__=\"ScatterView\";class g extends l.Marker{constructor(e){super(e)}}r.Scatter=g,n=g,g.__name__=\"Scatter\",n.prototype.default_view=o,n.define((()=>({marker:[c.MarkerSpec,{value:\"circle\"}]})))},\n function _(e,t,s,n,i){n();const r=e(1);var a;const c=e(178),o=e(48),_=(0,r.__importStar)(e(185)),h=(0,r.__importStar)(e(18)),l=e(9),x=e(72);class d extends c.XYGlyphView{_render(e,t,s){const{sx:n,sy:i,size:r,angle:a}=null!=s?s:this;for(const s of t){const t=n[s],c=i[s],o=r.get(s),_=a.get(s);if(!isFinite(t+c+o+_))continue;const h=o/2;e.beginPath(),e.translate(t,c),_&&e.rotate(_),this._render_one(e,s,h,this.visuals),_&&e.rotate(-_),e.translate(-t,-c)}}_mask_data(){const{x_target:e,y_target:t}=this.renderer.plot_view.frame,s=e.widen(this.max_size).map((e=>this.renderer.xscale.invert(e))),n=t.widen(this.max_size).map((e=>this.renderer.yscale.invert(e)));return this.index.indices({x0:s.start,x1:s.end,y0:n.start,y1:n.end})}_hit_point(e){const{sx:t,sy:s}=e,{max_size:n}=this,{hit_dilation:i}=this.model,r=t-n*i,a=t+n*i,[c,o]=this.renderer.xscale.r_invert(r,a),_=s-n*i,h=s+n*i,[l,d]=this.renderer.yscale.r_invert(_,h),y=this.index.indices({x0:c,x1:o,y0:l,y1:d}),g=[];for(const e of y){const n=this.size.get(e)/2*i;Math.abs(this.sx[e]-t)<=n&&Math.abs(this.sy[e]-s)<=n&&g.push(e)}return new x.Selection({indices:g})}_hit_span(e){const{sx:t,sy:s}=e,n=this.bounds(),i=this.max_size/2;let r,a,c,o;if(\"h\"==e.direction){c=n.y0,o=n.y1;const e=t-i,s=t+i;[r,a]=this.renderer.xscale.r_invert(e,s)}else{r=n.x0,a=n.x1;const e=s-i,t=s+i;[c,o]=this.renderer.yscale.r_invert(e,t)}const _=[...this.index.indices({x0:r,x1:a,y0:c,y1:o})];return new x.Selection({indices:_})}_hit_rect(e){const{sx0:t,sx1:s,sy0:n,sy1:i}=e,[r,a]=this.renderer.xscale.r_invert(t,s),[c,o]=this.renderer.yscale.r_invert(n,i),_=[...this.index.indices({x0:r,x1:a,y0:c,y1:o})];return new x.Selection({indices:_})}_hit_poly(e){const{sx:t,sy:s}=e,n=(0,l.range)(0,this.sx.length),i=[];for(let e=0,r=n.length;e({size:[h.ScreenSizeSpec,{value:4}],angle:[h.AngleSpec,0],hit_dilation:[e,1]})))},\n function _(l,o,n,t,i){t();const e=Math.sqrt(3),a=Math.sqrt(5),c=(a+1)/4,p=Math.sqrt((5-a)/8),r=(a-1)/4,h=Math.sqrt((5+a)/8);function u(l,o){l.rotate(Math.PI/4),s(l,o),l.rotate(-Math.PI/4)}function f(l,o){const 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i=2*n;l.rect(-n,-n,i,i),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)}function q(l,o,n,t){!function(l,o){const n=Math.sqrt(5-2*a)*o;l.moveTo(0,-o),l.lineTo(n*r,n*h-o),l.lineTo(n*(1+r),n*h-o),l.lineTo(n*(1+r-c),n*(h+p)-o),l.lineTo(n*(1+2*r-c),n*(2*h+p)-o),l.lineTo(0,2*n*h-o),l.lineTo(-n*(1+2*r-c),n*(2*h+p)-o),l.lineTo(-n*(1+r-c),n*(h+p)-o),l.lineTo(-n*(1+r),n*h-o),l.lineTo(-n*r,n*h-o),l.closePath()}(l,n),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)}function M(l,o,n,t){y(l,n),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)}n.marker_funcs={asterisk:function(l,o,n,t){s(l,n),u(l,n),t.line.apply(l,o)},circle:v,circle_cross:function(l,o,n,t){l.arc(0,0,n,0,2*Math.PI,!1),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.doit&&(t.line.set_vectorize(l,o),s(l,n),l.stroke())},circle_dot:function(l,o,n,t){v(l,o,n,t),_(l,o,n,t)},circle_y:function(l,o,n,t){l.arc(0,0,n,0,2*Math.PI,!1),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.doit&&(t.line.set_vectorize(l,o),f(l,n),l.stroke())},circle_x:function(l,o,n,t){l.arc(0,0,n,0,2*Math.PI,!1),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.doit&&(t.line.set_vectorize(l,o),u(l,n),l.stroke())},cross:function(l,o,n,t){s(l,n),t.line.apply(l,o)},diamond:d,diamond_dot:function(l,o,n,t){d(l,o,n,t),_(l,o,n,t)},diamond_cross:function(l,o,n,t){T(l,n),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.doit&&(t.line.set_vectorize(l,o),l.moveTo(0,n),l.lineTo(0,-n),l.moveTo(-n/1.5,0),l.lineTo(n/1.5,0),l.stroke())},dot:_,hex:P,hex_dot:function(l,o,n,t){P(l,o,n,t),_(l,o,n,t)},inverted_triangle:function(l,o,n,t){l.rotate(Math.PI),y(l,n),l.rotate(-Math.PI),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)},plus:function(l,o,n,t){const i=3*n/8,e=[i,i,n,n,i,i,-i,-i,-n,-n,-i,-i],a=[n,i,i,-i,-i,-n,-n,-i,-i,i,i,n];l.beginPath();for(let o=0;o<12;o++)l.lineTo(e[o],a[o]);l.closePath(),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)},square:m,square_cross:function(l,o,n,t){const i=2*n;l.rect(-n,-n,i,i),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.doit&&(t.line.set_vectorize(l,o),s(l,n),l.stroke())},square_dot:function(l,o,n,t){m(l,o,n,t),_(l,o,n,t)},square_pin:function(l,o,n,t){const i=3*n/8;l.moveTo(-n,-n),l.quadraticCurveTo(0,-i,n,-n),l.quadraticCurveTo(i,0,n,n),l.quadraticCurveTo(0,i,-n,n),l.quadraticCurveTo(-i,0,-n,-n),l.closePath(),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)},square_x:function(l,o,n,t){const i=2*n;l.rect(-n,-n,i,i),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.doit&&(t.line.set_vectorize(l,o),l.moveTo(-n,n),l.lineTo(n,-n),l.moveTo(-n,-n),l.lineTo(n,n),l.stroke())},star:q,star_dot:function(l,o,n,t){q(l,o,n,t),_(l,o,n,t)},triangle:M,triangle_dot:function(l,o,n,t){M(l,o,n,t),_(l,o,n,t)},triangle_pin:function(l,o,n,t){const i=n*e,a=i/3,c=3*a/8;l.moveTo(-n,a),l.quadraticCurveTo(0,c,n,a),l.quadraticCurveTo(e*c/2,c/2,0,a-i),l.quadraticCurveTo(-e*c/2,c/2,-n,a),l.closePath(),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)},dash:function(l,o,n,t){!function(l,o){l.moveTo(-o,0),l.lineTo(o,0)}(l,n),t.line.apply(l,o)},x:function(l,o,n,t){u(l,n),t.line.apply(l,o)},y:function(l,o,n,t){f(l,n),t.line.apply(l,o)}}},\n function _(e,t,s,i,n){i();const r=e(1);var o;const _=(0,r.__importStar)(e(185)),h=(0,r.__importStar)(e(18)),c=e(48),a=e(78),d=e(179),x=e(184),l=e(72);class y extends d.GlyphView{_project_data(){a.inplace.project_xy(this._x0,this._y0),a.inplace.project_xy(this._x1,this._y1)}_index_data(e){const{min:t,max:s}=Math,{_x0:i,_x1:n,_y0:r,_y1:o,data_size:_}=this;for(let h=0;h<_;h++){const _=i[h],c=n[h],a=r[h],d=o[h];e.add_rect(t(_,c),t(a,d),s(_,c),s(a,d))}}_render(e,t,s){if(this.visuals.line.doit){const{sx0:i,sy0:n,sx1:r,sy1:o}=null!=s?s:this;for(const s of t){const t=i[s],_=n[s],h=r[s],c=o[s];isFinite(t+_+h+c)&&(e.beginPath(),e.moveTo(t,_),e.lineTo(h,c),this.visuals.line.set_vectorize(e,s),e.stroke())}}}_hit_point(e){const{sx:t,sy:s}=e,i={x:t,y:s},[n,r]=this.renderer.xscale.r_invert(t-2,t+2),[o,h]=this.renderer.yscale.r_invert(s-2,s+2),c=this.index.indices({x0:n,y0:o,x1:r,y1:h}),a=[];for(const e of c){const t=Math.max(2,this.line_width.get(e)/2)**2,s={x:this.sx0[e],y:this.sy0[e]},n={x:this.sx1[e],y:this.sy1[e]};_.dist_to_segment_squared(i,s,n)({x0:[h.XCoordinateSpec,{field:\"x0\"}],y0:[h.YCoordinateSpec,{field:\"y0\"}],x1:[h.XCoordinateSpec,{field:\"x1\"}],y1:[h.YCoordinateSpec,{field:\"y1\"}]}))),o.mixins(c.LineVector)},\n function _(t,e,s,i,n){i();const o=t(1);var _;const l=t(178),a=(0,o.__importStar)(t(48)),c=t(296);class r extends l.XYGlyphView{_set_data(){const{tension:t,closed:e}=this.model;[this._xt,this._yt]=(0,c.catmullrom_spline)(this._x,this._y,20,t,e)}_map_data(){const{x_scale:t,y_scale:e}=this.renderer.coordinates;this.sxt=t.v_compute(this._xt),this.syt=e.v_compute(this._yt)}_render(t,e,s){const{sxt:i,syt:n}=null!=s?s:this;let o=!0;t.beginPath();const _=i.length;for(let e=0;e<_;e++){const s=i[e],_=n[e];isFinite(s+_)?o?(t.moveTo(s,_),o=!1):t.lineTo(s,_):o=!0}this.visuals.line.set_value(t),t.stroke()}}s.SplineView=r,r.__name__=\"SplineView\";class h extends l.XYGlyph{constructor(t){super(t)}}s.Spline=h,_=h,h.__name__=\"Spline\",_.prototype.default_view=r,_.mixins(a.LineScalar),_.define((({Boolean:t,Number:e})=>({tension:[e,.5],closed:[t,!1]})))},\n function _(n,t,e,o,s){o();const c=n(24),l=n(11);e.catmullrom_spline=function(n,t,e=10,o=.5,s=!1){(0,l.assert)(n.length==t.length);const r=n.length,f=s?r+1:r,w=(0,c.infer_type)(n,t),i=new w(f+2),u=new w(f+2);i.set(n,1),u.set(t,1),s?(i[0]=n[r-1],u[0]=t[r-1],i[f]=n[0],u[f]=t[0],i[f+1]=n[1],u[f+1]=t[1]):(i[0]=n[0],u[0]=t[0],i[f+1]=n[r-1],u[f+1]=t[r-1]);const g=new w(4*(e+1));for(let n=0,t=0;n<=e;n++){const o=n/e,s=o**2,c=o*s;g[t++]=2*c-3*s+1,g[t++]=-2*c+3*s,g[t++]=c-2*s+o,g[t++]=c-s}const h=new w((f-1)*(e+1)),_=new w((f-1)*(e+1));for(let n=1,t=0;n1&&(e.stroke(),o=!1)}o?(e.lineTo(t,r),e.lineTo(a,c)):(e.beginPath(),e.moveTo(s[n],i[n]),o=!0),l=n}e.lineTo(s[a-1],i[a-1]),e.stroke()}}draw_legend_for_index(e,t,n){(0,r.generic_line_scalar_legend)(this.visuals,e,t)}}n.StepView=f,f.__name__=\"StepView\";class u extends a.XYGlyph{constructor(e){super(e)}}n.Step=u,l=u,u.__name__=\"Step\",l.prototype.default_view=f,l.mixins(c.LineScalar),l.define((()=>({mode:[_.StepMode,\"before\"]})))},\n function _(t,e,s,i,n){i();const o=t(1);var _;const h=t(178),l=t(48),r=(0,o.__importStar)(t(185)),a=(0,o.__importStar)(t(18)),c=t(121),x=t(11),u=t(72);class f extends h.XYGlyphView{_rotate_point(t,e,s,i,n){return[(t-s)*Math.cos(n)-(e-i)*Math.sin(n)+s,(t-s)*Math.sin(n)+(e-i)*Math.cos(n)+i]}_text_bounds(t,e,s,i){return[[t,t+s,t+s,t,t],[e,e,e-i,e-i,e]]}_render(t,e,s){const{sx:i,sy:n,x_offset:o,y_offset:_,angle:h,text:l}=null!=s?s:this;this._sys=[],this._sxs=[];for(const s of e){const e=this._sxs[s]=[],r=this._sys[s]=[],a=i[s],x=n[s],u=o.get(s),f=_.get(s),p=h.get(s),g=l.get(s);if(isFinite(a+x+u+f+p)&&null!=g&&this.visuals.text.doit){const i=`${g}`;t.save(),t.translate(a+u,x+f),t.rotate(p),this.visuals.text.set_vectorize(t,s);const n=this.visuals.text.font_value(s),{height:o}=(0,c.font_metrics)(n),_=this.text_line_height.get(s)*o;if(-1==i.indexOf(\"\\n\")){t.fillText(i,0,0);const s=a+u,n=x+f,o=t.measureText(i).width,[h,l]=this._text_bounds(s,n,o,_);e.push(h),r.push(l)}else{const n=i.split(\"\\n\"),o=_*n.length,h=this.text_baseline.get(s);let l;switch(h){case\"top\":l=0;break;case\"middle\":l=-o/2+_/2;break;case\"bottom\":l=-o+_;break;default:l=0,console.warn(`'${h}' baseline not supported with multi line text`)}for(const s of n){t.fillText(s,0,l);const i=a+u,n=l+x+f,o=t.measureText(s).width,[h,c]=this._text_bounds(i,n,o,_);e.push(h),r.push(c),l+=_}}t.restore()}}}_hit_point(t){const{sx:e,sy:s}=t,i=[];for(let t=0;t({text:[a.NullStringSpec,{field:\"text\"}],angle:[a.AngleSpec,0],x_offset:[a.NumberSpec,0],y_offset:[a.NumberSpec,0]})))},\n function _(t,e,s,i,r){i();const h=t(1);var o;const a=t(277),n=t(24),_=(0,h.__importStar)(t(18));class l extends a.BoxView{async lazy_initialize(){await super.lazy_initialize();const{webgl:e}=this.renderer.plot_view.canvas_view;if(null!=e&&e.regl_wrapper.has_webgl){const{LRTBGL:s}=await Promise.resolve().then((()=>(0,h.__importStar)(t(427))));this.glglyph=new s(e.regl_wrapper,this)}}scenterxy(t){return[this.sx[t],(this.stop[t]+this.sbottom[t])/2]}_lrtb(t){const e=this.width.get(t)/2,s=this._x[t],i=this._top[t],r=this._bottom[t];return[s-e,s+e,Math.max(i,r),Math.min(i,r)]}_map_data(){this.sx=this.renderer.xscale.v_compute(this._x),this.sw=this.sdist(this.renderer.xscale,this._x,this.width,\"center\"),this.stop=this.renderer.yscale.v_compute(this._top),this.sbottom=this.renderer.yscale.v_compute(this._bottom);const t=this.sx.length;this.sleft=new n.ScreenArray(t),this.sright=new n.ScreenArray(t);for(let e=0;e({x:[_.XCoordinateSpec,{field:\"x\"}],bottom:[_.YCoordinateSpec,{value:0}],width:[_.NumberSpec,{value:1}],top:[_.YCoordinateSpec,{field:\"top\"}]})))},\n function _(e,s,t,i,n){i();const r=e(1);var a;const c=e(178),d=e(184),l=e(48),h=e(24),o=e(20),_=(0,r.__importStar)(e(18)),u=e(10),g=e(72),x=e(12);class p extends c.XYGlyphView{_map_data(){\"data\"==this.model.properties.radius.units?this.sradius=this.sdist(this.renderer.xscale,this._x,this.radius):this.sradius=(0,h.to_screen)(this.radius),this.max_sradius=(0,x.max)(this.sradius)}_render(e,s,t){const{sx:i,sy:n,sradius:r,start_angle:a,end_angle:c}=null!=t?t:this,d=\"anticlock\"==this.model.direction;for(const t of s){const s=i[t],l=n[t],h=r[t],o=a.get(t),_=c.get(t);isFinite(s+l+h+o+_)&&(e.beginPath(),e.arc(s,l,h,o,_,d),e.lineTo(s,l),e.closePath(),this.visuals.fill.apply(e,t),this.visuals.hatch.apply(e,t),this.visuals.line.apply(e,t))}}_hit_point(e){let s,t,i,n,r;const{sx:a,sy:c}=e,d=this.renderer.xscale.invert(a),l=this.renderer.yscale.invert(c);t=a-this.max_sradius,i=a+this.max_sradius;const[h,o]=this.renderer.xscale.r_invert(t,i);n=c-this.max_sradius,r=c+this.max_sradius;const[_,x]=this.renderer.yscale.r_invert(n,r),p=[];for(const e of this.index.indices({x0:h,x1:o,y0:_,y1:x})){const a=this.sradius[e]**2;[t,i]=this.renderer.xscale.r_compute(d,this._x[e]),[n,r]=this.renderer.yscale.r_compute(l,this._y[e]),s=(t-i)**2+(n-r)**2,s<=a&&p.push(e)}const y=\"anticlock\"==this.model.direction,m=[];for(const e of p){const s=Math.atan2(c-this.sy[e],a-this.sx[e]);(0,u.angle_between)(-s,-this.start_angle.get(e),-this.end_angle.get(e),y)&&m.push(e)}return new g.Selection({indices:m})}draw_legend_for_index(e,s,t){(0,d.generic_area_vector_legend)(this.visuals,e,s,t)}scenterxy(e){const s=this.sradius[e]/2,t=(this.start_angle.get(e)+this.end_angle.get(e))/2;return[this.sx[e]+s*Math.cos(t),this.sy[e]+s*Math.sin(t)]}}t.WedgeView=p,p.__name__=\"WedgeView\";class y extends c.XYGlyph{constructor(e){super(e)}}t.Wedge=y,a=y,y.__name__=\"Wedge\",a.prototype.default_view=p,a.mixins([l.LineVector,l.FillVector,l.HatchVector]),a.define((({})=>({direction:[o.Direction,\"anticlock\"],radius:[_.DistanceSpec,{field:\"radius\"}],start_angle:[_.AngleSpec,{field:\"start_angle\"}],end_angle:[_.AngleSpec,{field:\"end_angle\"}]})))},\n function _(t,_,r,o,a){o();const e=t(1);(0,e.__exportStar)(t(302),r),(0,e.__exportStar)(t(303),r),(0,e.__exportStar)(t(304),r)},\n function _(e,t,d,n,s){n();const o=e(53),r=e(12),_=e(9),i=e(72);class c extends o.Model{constructor(e){super(e)}_hit_test(e,t,d){if(!t.model.visible)return null;const n=d.glyph.hit_test(e);return null==n?null:d.model.view.convert_selection_from_subset(n)}}d.GraphHitTestPolicy=c,c.__name__=\"GraphHitTestPolicy\";class a extends c{constructor(e){super(e)}hit_test(e,t){return this._hit_test(e,t,t.edge_view)}do_selection(e,t,d,n){if(null==e)return!1;const s=t.edge_renderer.data_source.selected;return s.update(e,d,n),t.edge_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,d,n,s){if(null==e)return!1;const{edge_renderer:o}=d.model,r=o.get_selection_manager().get_or_create_inspector(d.edge_view.model);return r.update(e,n,s),d.edge_view.model.data_source.setv({inspected:r},{silent:!0}),d.edge_view.model.data_source.inspect.emit([d.edge_view.model,{geometry:t}]),!r.is_empty()}}d.EdgesOnly=a,a.__name__=\"EdgesOnly\";class l extends c{constructor(e){super(e)}hit_test(e,t){return this._hit_test(e,t,t.node_view)}do_selection(e,t,d,n){if(null==e)return!1;const s=t.node_renderer.data_source.selected;return s.update(e,d,n),t.node_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,d,n,s){if(null==e)return!1;const{node_renderer:o}=d.model,r=o.get_selection_manager().get_or_create_inspector(d.node_view.model);return r.update(e,n,s),d.node_view.model.data_source.setv({inspected:r},{silent:!0}),d.node_view.model.data_source.inspect.emit([d.node_view.model,{geometry:t}]),!r.is_empty()}}d.NodesOnly=l,l.__name__=\"NodesOnly\";class u extends c{constructor(e){super(e)}hit_test(e,t){return this._hit_test(e,t,t.node_view)}get_linked_edges(e,t,d){let n=[];\"selection\"==d?n=e.selected.indices.map((t=>e.data.index[t])):\"inspection\"==d&&(n=e.inspected.indices.map((t=>e.data.index[t])));const s=[];for(let e=0;e(0,r.indexOf)(e.data.index,t)));return new i.Selection({indices:o})}do_selection(e,t,d,n){if(null==e)return!1;const s=t.edge_renderer.data_source.selected;s.update(e,d,n);const o=t.node_renderer.data_source.selected,r=this.get_linked_nodes(t.node_renderer.data_source,t.edge_renderer.data_source,\"selection\");return o.update(r,d,n),t.edge_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,d,n,s){if(null==e)return!1;const o=d.edge_view.model.data_source.selection_manager.get_or_create_inspector(d.edge_view.model);o.update(e,n,s),d.edge_view.model.data_source.setv({inspected:o},{silent:!0});const r=d.node_view.model.data_source.selection_manager.get_or_create_inspector(d.node_view.model),_=this.get_linked_nodes(d.node_view.model.data_source,d.edge_view.model.data_source,\"inspection\");return r.update(_,n,s),d.node_view.model.data_source.setv({inspected:r},{silent:!0}),d.edge_view.model.data_source.inspect.emit([d.edge_view.model,{geometry:t}]),!o.is_empty()}}d.EdgesAndLinkedNodes=m,m.__name__=\"EdgesAndLinkedNodes\"},\n function _(e,o,t,r,n){var s;r();const a=e(53),d=e(260);class _ extends a.Model{constructor(e){super(e)}get node_coordinates(){return new u({layout:this})}get edge_coordinates(){return new i({layout:this})}}t.LayoutProvider=_,_.__name__=\"LayoutProvider\";class c extends d.CoordinateTransform{constructor(e){super(e)}}t.GraphCoordinates=c,s=c,c.__name__=\"GraphCoordinates\",s.define((({Ref:e})=>({layout:[e(_)]})));class u extends c{constructor(e){super(e)}_v_compute(e){const[o,t]=this.layout.get_node_coordinates(e);return{x:o,y:t}}}t.NodeCoordinates=u,u.__name__=\"NodeCoordinates\";class i extends c{constructor(e){super(e)}_v_compute(e){const[o,t]=this.layout.get_edge_coordinates(e);return{x:o,y:t}}}t.EdgeCoordinates=i,i.__name__=\"EdgeCoordinates\"},\n function _(t,a,l,e,n){var o;e();const r=t(303);class u extends r.LayoutProvider{constructor(t){super(t)}get_node_coordinates(t){var a;const l=null!==(a=t.data.index)&&void 0!==a?a:[],e=l.length,n=new Float64Array(e),o=new Float64Array(e);for(let t=0;t({graph_layout:[l(a(t,t)),{}]})))},\n function _(i,d,n,r,G){r(),G(\"Grid\",i(306).Grid)},\n function _(i,e,n,s,t){s();const r=i(1);var o;const d=i(127),_=i(129),a=i(130),l=(0,r.__importStar)(i(48)),h=i(8);class c extends _.GuideRendererView{_render(){const i=this.layer.ctx;i.save(),this._draw_regions(i),this._draw_minor_grids(i),this._draw_grids(i),i.restore()}connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.request_render()))}_draw_regions(i){if(!this.visuals.band_fill.doit&&!this.visuals.band_hatch.doit)return;const[e,n]=this.grid_coords(\"major\",!1);for(let s=0;sn[1]&&(t=n[1]);else{[s,t]=n;for(const i of this.plot_view.axis_views)i.dimension==this.model.dimension&&i.model.x_range_name==this.model.x_range_name&&i.model.y_range_name==this.model.y_range_name&&([s,t]=i.computed_bounds)}return[s,t]}grid_coords(i,e=!0){const n=this.model.dimension,s=(n+1)%2,[t,r]=this.ranges();let[o,d]=this.computed_bounds();[o,d]=[Math.min(o,d),Math.max(o,d)];const _=[[],[]],a=this.model.get_ticker();if(null==a)return _;const l=a.get_ticks(o,d,t,r.min)[i],h=t.min,c=t.max,u=r.min,m=r.max;e||(l[0]!=h&&l.splice(0,0,h),l[l.length-1]!=c&&l.push(c));for(let i=0;i({bounds:[r(t(i,i),e),\"auto\"],dimension:[n(0,1),0],axis:[o(s(d.Axis)),null],ticker:[o(s(a.Ticker)),null]}))),o.override({level:\"underlay\",band_fill_color:null,band_fill_alpha:0,grid_line_color:\"#e5e5e5\",minor_grid_line_color:null})},\n function _(o,a,x,B,e){B(),e(\"Box\",o(308).Box),e(\"Column\",o(310).Column),e(\"GridBox\",o(311).GridBox),e(\"HTMLBox\",o(312).HTMLBox),e(\"LayoutDOM\",o(309).LayoutDOM),e(\"Panel\",o(313).Panel),e(\"Row\",o(314).Row),e(\"Spacer\",o(315).Spacer),e(\"Tabs\",o(316).Tabs),e(\"WidgetBox\",o(319).WidgetBox)},\n function _(e,n,s,t,c){var i;t();const o=e(309);class r extends o.LayoutDOMView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.children.change,(()=>this.rebuild()))}get child_models(){return this.model.children}}s.BoxView=r,r.__name__=\"BoxView\";class a extends o.LayoutDOM{constructor(e){super(e)}}s.Box=a,i=a,a.__name__=\"Box\",i.define((({Number:e,Array:n,Ref:s})=>({children:[n(s(o.LayoutDOM)),[]],spacing:[e,0]})))},\n function _(t,i,e,s,o){var l;s();const n=t(53),h=t(20),a=t(43),r=t(19),_=t(8),c=t(22),u=t(121),d=t(113),p=t(226),m=t(207),g=t(44),w=t(235);class f extends p.DOMView{constructor(){super(...arguments),this._offset_parent=null,this._viewport={}}get is_layout_root(){return this.is_root||!(this.parent instanceof f)}get base_font_size(){const t=getComputedStyle(this.el).fontSize,i=(0,u.parse_css_font_size)(t);if(null!=i){const{value:t,unit:e}=i;if(\"px\"==e)return t}return null}initialize(){super.initialize(),this.el.style.position=this.is_layout_root?\"relative\":\"absolute\",this._child_views=new Map}async lazy_initialize(){await super.lazy_initialize(),await this.build_child_views()}remove(){for(const t of this.child_views)t.remove();this._child_views.clear(),super.remove()}connect_signals(){super.connect_signals(),this.is_layout_root&&(this._on_resize=()=>this.resize_layout(),window.addEventListener(\"resize\",this._on_resize),this._parent_observer=setInterval((()=>{const t=this.el.offsetParent;this._offset_parent!=t&&(this._offset_parent=t,null!=t&&(this.compute_viewport(),this.invalidate_layout()))}),250));const t=this.model.properties;this.on_change([t.width,t.height,t.min_width,t.min_height,t.max_width,t.max_height,t.margin,t.width_policy,t.height_policy,t.sizing_mode,t.aspect_ratio,t.visible],(()=>this.invalidate_layout())),this.on_change([t.background,t.css_classes],(()=>this.invalidate_render()))}disconnect_signals(){null!=this._parent_observer&&clearTimeout(this._parent_observer),null!=this._on_resize&&window.removeEventListener(\"resize\",this._on_resize),super.disconnect_signals()}css_classes(){return super.css_classes().concat(this.model.css_classes)}get child_views(){return this.child_models.map((t=>this._child_views.get(t)))}async build_child_views(){await(0,d.build_views)(this._child_views,this.child_models,{parent:this})}render(){super.render(),(0,a.empty)(this.el);const{background:t}=this.model;this.el.style.backgroundColor=null!=t?(0,c.color2css)(t):\"\",(0,a.classes)(this.el).clear().add(...this.css_classes());for(const t of this.child_views)this.el.appendChild(t.el),t.render()}update_layout(){for(const t of this.child_views)t.update_layout();this._update_layout()}update_position(){this.el.style.display=this.model.visible?\"block\":\"none\";const t=this.is_layout_root?this.layout.sizing.margin:void 0;(0,a.position)(this.el,this.layout.bbox,t);for(const t of this.child_views)t.update_position()}after_layout(){for(const t of this.child_views)t.after_layout();this._has_finished=!0}compute_viewport(){this._viewport=this._viewport_size()}renderTo(t){t.appendChild(this.el),this._offset_parent=this.el.offsetParent,this.compute_viewport(),this.build(),this.notify_finished()}build(){if(!this.is_layout_root)throw new Error(`${this.toString()} is not a root layout`);return this.render(),this.update_layout(),this.compute_layout(),this}async rebuild(){await this.build_child_views(),this.invalidate_render()}compute_layout(){const t=Date.now();this.layout.compute(this._viewport),this.update_position(),this.after_layout(),r.logger.debug(`layout computed in ${Date.now()-t} ms`)}resize_layout(){this.root.compute_viewport(),this.root.compute_layout()}invalidate_layout(){this.root.update_layout(),this.root.compute_layout()}invalidate_render(){this.render(),this.invalidate_layout()}has_finished(){if(!super.has_finished())return!1;for(const t of this.child_views)if(!t.has_finished())return!1;return!0}_width_policy(){return null!=this.model.width?\"fixed\":\"fit\"}_height_policy(){return null!=this.model.height?\"fixed\":\"fit\"}box_sizing(){let{width_policy:t,height_policy:i,aspect_ratio:e}=this.model;\"auto\"==t&&(t=this._width_policy()),\"auto\"==i&&(i=this._height_policy());const{sizing_mode:s}=this.model;if(null!=s)if(\"fixed\"==s)t=i=\"fixed\";else if(\"stretch_both\"==s)t=i=\"max\";else if(\"stretch_width\"==s)t=\"max\";else if(\"stretch_height\"==s)i=\"max\";else switch(null==e&&(e=\"auto\"),s){case\"scale_width\":t=\"max\",i=\"min\";break;case\"scale_height\":t=\"min\",i=\"max\";break;case\"scale_both\":t=\"max\",i=\"max\"}const o={width_policy:t,height_policy:i},{min_width:l,min_height:n}=this.model;null!=l&&(o.min_width=l),null!=n&&(o.min_height=n);const{width:h,height:a}=this.model;null!=h&&(o.width=h),null!=a&&(o.height=a);const{max_width:r,max_height:c}=this.model;null!=r&&(o.max_width=r),null!=c&&(o.max_height=c),\"auto\"==e&&null!=h&&null!=a?o.aspect=h/a:(0,_.isNumber)(e)&&(o.aspect=e);const{margin:u}=this.model;if(null!=u)if((0,_.isNumber)(u))o.margin={top:u,right:u,bottom:u,left:u};else if(2==u.length){const[t,i]=u;o.margin={top:t,right:i,bottom:t,left:i}}else{const[t,i,e,s]=u;o.margin={top:t,right:i,bottom:e,left:s}}o.visible=this.model.visible;const{align:d}=this.model;return(0,_.isArray)(d)?[o.halign,o.valign]=d:o.halign=o.valign=d,o}_viewport_size(){return(0,a.undisplayed)(this.el,(()=>{let t=this.el;for(;t=t.parentElement;){if(t.classList.contains(g.root))continue;if(t==document.body){const{margin:{left:t,right:i,top:e,bottom:s}}=(0,a.extents)(document.body);return{width:Math.ceil(document.documentElement.clientWidth-t-i),height:Math.ceil(document.documentElement.clientHeight-e-s)}}const{padding:{left:i,right:e,top:s,bottom:o}}=(0,a.extents)(t),{width:l,height:n}=t.getBoundingClientRect(),h=Math.ceil(l-i-e),r=Math.ceil(n-s-o);if(h>0||r>0)return{width:h>0?h:void 0,height:r>0?r:void 0}}return{}}))}export(t,i=!0){const e=\"png\"==t?\"canvas\":\"svg\",s=new w.CanvasLayer(e,i),{width:o,height:l}=this.layout.bbox;s.resize(o,l);for(const e of this.child_views){const o=e.export(t,i),{x:l,y:n}=e.layout.bbox;s.ctx.drawImage(o.canvas,l,n)}return s}serializable_state(){return Object.assign(Object.assign({},super.serializable_state()),{bbox:this.layout.bbox.box,children:this.child_views.map((t=>t.serializable_state()))})}}e.LayoutDOMView=f,f.__name__=\"LayoutDOMView\";class y extends n.Model{constructor(t){super(t)}}e.LayoutDOM=y,l=y,y.__name__=\"LayoutDOM\",l.define((t=>{const{Boolean:i,Number:e,String:s,Auto:o,Color:l,Array:n,Tuple:a,Or:r,Null:_,Nullable:c}=t,u=a(e,e),d=a(e,e,e,e);return{width:[c(e),null],height:[c(e),null],min_width:[c(e),null],min_height:[c(e),null],max_width:[c(e),null],max_height:[c(e),null],margin:[c(r(e,u,d)),[0,0,0,0]],width_policy:[r(m.SizingPolicy,o),\"auto\"],height_policy:[r(m.SizingPolicy,o),\"auto\"],aspect_ratio:[r(e,o,_),null],sizing_mode:[c(h.SizingMode),null],visible:[i,!0],disabled:[i,!1],align:[r(h.Align,a(h.Align,h.Align)),\"start\"],background:[c(l),null],css_classes:[n(s),[]]}}))},\n function _(o,s,t,i,e){var n;i();const a=o(308),l=o(209);class u extends a.BoxView{_update_layout(){const o=this.child_views.map((o=>o.layout));this.layout=new l.Column(o),this.layout.rows=this.model.rows,this.layout.spacing=[this.model.spacing,0],this.layout.set_sizing(this.box_sizing())}}t.ColumnView=u,u.__name__=\"ColumnView\";class _ extends a.Box{constructor(o){super(o)}}t.Column=_,n=_,_.__name__=\"Column\",n.prototype.default_view=u,n.define((({Any:o})=>({rows:[o,\"auto\"]})))},\n function _(s,o,t,i,e){var n;i();const l=s(309),a=s(209);class r extends l.LayoutDOMView{connect_signals(){super.connect_signals();const{children:s,rows:o,cols:t,spacing:i}=this.model.properties;this.on_change([s,o,t,i],(()=>this.rebuild()))}get child_models(){return this.model.children.map((([s])=>s))}_update_layout(){this.layout=new a.Grid,this.layout.rows=this.model.rows,this.layout.cols=this.model.cols,this.layout.spacing=this.model.spacing;for(const[s,o,t,i,e]of this.model.children){const n=this._child_views.get(s);this.layout.items.push({layout:n.layout,row:o,col:t,row_span:i,col_span:e})}this.layout.set_sizing(this.box_sizing())}}t.GridBoxView=r,r.__name__=\"GridBoxView\";class c extends l.LayoutDOM{constructor(s){super(s)}}t.GridBox=c,n=c,c.__name__=\"GridBox\",n.prototype.default_view=r,n.define((({Any:s,Int:o,Number:t,Tuple:i,Array:e,Ref:n,Or:a,Opt:r})=>({children:[e(i(n(l.LayoutDOM),o,o,r(o),r(o))),[]],rows:[s,\"auto\"],cols:[s,\"auto\"],spacing:[a(t,i(t,t)),0]})))},\n function _(t,e,o,s,n){s();const _=t(309),i=t(207);class a extends _.LayoutDOMView{get child_models(){return[]}_update_layout(){this.layout=new i.ContentBox(this.el),this.layout.set_sizing(this.box_sizing())}}o.HTMLBoxView=a,a.__name__=\"HTMLBoxView\";class u extends _.LayoutDOM{constructor(t){super(t)}}o.HTMLBox=u,u.__name__=\"HTMLBox\"},\n function _(e,n,l,a,o){var t;a();const s=e(53),c=e(309);class d extends s.Model{constructor(e){super(e)}}l.Panel=d,t=d,d.__name__=\"Panel\",t.define((({Boolean:e,String:n,Ref:l})=>({title:[n,\"\"],child:[l(c.LayoutDOM)],closable:[e,!1],disabled:[e,!1]})))},\n function _(o,s,t,i,e){var a;i();const n=o(308),l=o(209);class _ extends n.BoxView{_update_layout(){const o=this.child_views.map((o=>o.layout));this.layout=new l.Row(o),this.layout.cols=this.model.cols,this.layout.spacing=[0,this.model.spacing],this.layout.set_sizing(this.box_sizing())}}t.RowView=_,_.__name__=\"RowView\";class c extends n.Box{constructor(o){super(o)}}t.Row=c,a=c,c.__name__=\"Row\",a.prototype.default_view=_,a.define((({Any:o})=>({cols:[o,\"auto\"]})))},\n function _(e,t,a,s,_){var o;s();const i=e(309),n=e(207);class u extends i.LayoutDOMView{get child_models(){return[]}_update_layout(){this.layout=new n.LayoutItem,this.layout.set_sizing(this.box_sizing())}}a.SpacerView=u,u.__name__=\"SpacerView\";class c extends i.LayoutDOM{constructor(e){super(e)}}a.Spacer=c,o=c,c.__name__=\"Spacer\",o.prototype.default_view=u},\n function _(e,t,s,i,l){i();const h=e(1);var a;const o=e(207),d=e(43),r=e(9),c=e(10),n=e(20),_=e(309),p=e(313),b=(0,h.__importStar)(e(317)),m=b,u=(0,h.__importStar)(e(318)),g=u,v=(0,h.__importStar)(e(229)),w=v;class f extends _.LayoutDOMView{constructor(){super(...arguments),this._scroll_index=0}connect_signals(){super.connect_signals(),this.connect(this.model.properties.tabs.change,(()=>this.rebuild())),this.connect(this.model.properties.active.change,(()=>this.on_active_change()))}styles(){return[...super.styles(),u.default,v.default,b.default]}get child_models(){return this.model.tabs.map((e=>e.child))}_update_layout(){const e=this.model.tabs_location,t=\"above\"==e||\"below\"==e,{scroll_el:s,headers_el:i}=this;this.header=new class extends o.ContentBox{_measure(e){const l=(0,d.size)(s),h=(0,d.children)(i).slice(0,3).map((e=>(0,d.size)(e))),{width:a,height:o}=super._measure(e);if(t){const t=l.width+(0,r.sum)(h.map((e=>e.width)));return{width:e.width!=1/0?e.width:t,height:o}}{const t=l.height+(0,r.sum)(h.map((e=>e.height)));return{width:a,height:e.height!=1/0?e.height:t}}}}(this.header_el),t?this.header.set_sizing({width_policy:\"fit\",height_policy:\"fixed\"}):this.header.set_sizing({width_policy:\"fixed\",height_policy:\"fit\"});let l=1,h=1;switch(e){case\"above\":l-=1;break;case\"below\":l+=1;break;case\"left\":h-=1;break;case\"right\":h+=1}const a={layout:this.header,row:l,col:h},c=this.child_views.map((e=>({layout:e.layout,row:1,col:1})));this.layout=new o.Grid([a,...c]),this.layout.set_sizing(this.box_sizing())}update_position(){super.update_position(),this.header_el.style.position=\"absolute\",(0,d.position)(this.header_el,this.header.bbox);const e=this.model.tabs_location,t=\"above\"==e||\"below\"==e,s=(0,d.size)(this.scroll_el),i=(0,d.scroll_size)(this.headers_el);if(t){const{width:e}=this.header.bbox;i.width>e?(this.wrapper_el.style.maxWidth=e-s.width+\"px\",(0,d.display)(this.scroll_el),this.do_scroll(this.model.active)):(this.wrapper_el.style.maxWidth=\"\",(0,d.undisplay)(this.scroll_el))}else{const{height:e}=this.header.bbox;i.height>e?(this.wrapper_el.style.maxHeight=e-s.height+\"px\",(0,d.display)(this.scroll_el),this.do_scroll(this.model.active)):(this.wrapper_el.style.maxHeight=\"\",(0,d.undisplay)(this.scroll_el))}const{child_views:l}=this;for(const e of l)(0,d.hide)(e.el);const h=l[this.model.active];null!=h&&(0,d.show)(h.el)}render(){super.render();const{active:e}=this.model,t=this.model.tabs.map(((t,s)=>{const i=(0,d.div)({class:[m.tab,s==e?m.active:null]},t.title);if(i.addEventListener(\"click\",(e=>{this.model.disabled||e.target==e.currentTarget&&this.change_active(s)})),t.closable){const e=(0,d.div)({class:m.close});e.addEventListener(\"click\",(e=>{if(e.target==e.currentTarget){this.model.tabs=(0,r.remove_at)(this.model.tabs,s);const e=this.model.tabs.length;this.model.active>e-1&&(this.model.active=e-1)}})),i.appendChild(e)}return(this.model.disabled||t.disabled)&&i.classList.add(m.disabled),i}));this.headers_el=(0,d.div)({class:[m.headers]},t),this.wrapper_el=(0,d.div)({class:m.headers_wrapper},this.headers_el),this.left_el=(0,d.div)({class:[g.btn,g.btn_default],disabled:\"\"},(0,d.div)({class:[w.caret,m.left]})),this.right_el=(0,d.div)({class:[g.btn,g.btn_default]},(0,d.div)({class:[w.caret,m.right]})),this.left_el.addEventListener(\"click\",(()=>this.do_scroll(\"left\"))),this.right_el.addEventListener(\"click\",(()=>this.do_scroll(\"right\"))),this.scroll_el=(0,d.div)({class:g.btn_group},this.left_el,this.right_el);const s=this.model.tabs_location;this.header_el=(0,d.div)({class:[m.tabs_header,m[s]]},this.scroll_el,this.wrapper_el),this.el.appendChild(this.header_el)}do_scroll(e){const t=this.model.tabs.length;\"left\"==e?this._scroll_index-=1:\"right\"==e?this._scroll_index+=1:this._scroll_index=e,this._scroll_index=(0,c.clamp)(this._scroll_index,0,t-1),0==this._scroll_index?this.left_el.setAttribute(\"disabled\",\"\"):this.left_el.removeAttribute(\"disabled\"),this._scroll_index==t-1?this.right_el.setAttribute(\"disabled\",\"\"):this.right_el.removeAttribute(\"disabled\");const s=(0,d.children)(this.headers_el).slice(0,this._scroll_index).map((e=>e.getBoundingClientRect())),i=this.model.tabs_location;if(\"above\"==i||\"below\"==i){const e=-(0,r.sum)(s.map((e=>e.width)));this.headers_el.style.left=`${e}px`}else{const e=-(0,r.sum)(s.map((e=>e.height)));this.headers_el.style.top=`${e}px`}}change_active(e){e!=this.model.active&&(this.model.active=e)}on_active_change(){const e=this.model.active,t=(0,d.children)(this.headers_el);for(const e of t)e.classList.remove(m.active);t[e].classList.add(m.active);const{child_views:s}=this;for(const e of s)(0,d.hide)(e.el);(0,d.show)(s[e].el)}}s.TabsView=f,f.__name__=\"TabsView\";class x extends _.LayoutDOM{constructor(e){super(e)}}s.Tabs=x,a=x,x.__name__=\"Tabs\",a.prototype.default_view=f,a.define((({Int:e,Array:t,Ref:s})=>({tabs:[t(s(p.Panel)),[]],tabs_location:[n.Location,\"above\"],active:[e,0]})))},\n function _(e,r,b,o,t){o(),b.root=\"bk-root\",b.tabs_header=\"bk-tabs-header\",b.btn_group=\"bk-btn-group\",b.btn=\"bk-btn\",b.headers_wrapper=\"bk-headers-wrapper\",b.above=\"bk-above\",b.right=\"bk-right\",b.below=\"bk-below\",b.left=\"bk-left\",b.headers=\"bk-headers\",b.tab=\"bk-tab\",b.active=\"bk-active\",b.close=\"bk-close\",b.disabled=\"bk-disabled\",b.default='.bk-root .bk-tabs-header{display:flex;flex-wrap:nowrap;align-items:center;overflow:hidden;user-select:none;-ms-user-select:none;-moz-user-select:none;-webkit-user-select:none;}.bk-root .bk-tabs-header .bk-btn-group{height:auto;margin-right:5px;}.bk-root .bk-tabs-header .bk-btn-group > .bk-btn{flex-grow:0;height:auto;padding:4px 4px;}.bk-root .bk-tabs-header .bk-headers-wrapper{flex-grow:1;overflow:hidden;color:#666666;}.bk-root .bk-tabs-header.bk-above .bk-headers-wrapper{border-bottom:1px solid #e6e6e6;}.bk-root .bk-tabs-header.bk-right .bk-headers-wrapper{border-left:1px solid #e6e6e6;}.bk-root .bk-tabs-header.bk-below .bk-headers-wrapper{border-top:1px solid #e6e6e6;}.bk-root .bk-tabs-header.bk-left .bk-headers-wrapper{border-right:1px solid #e6e6e6;}.bk-root .bk-tabs-header.bk-above,.bk-root .bk-tabs-header.bk-below{flex-direction:row;}.bk-root .bk-tabs-header.bk-above .bk-headers,.bk-root .bk-tabs-header.bk-below .bk-headers{flex-direction:row;}.bk-root .bk-tabs-header.bk-left,.bk-root .bk-tabs-header.bk-right{flex-direction:column;}.bk-root .bk-tabs-header.bk-left .bk-headers,.bk-root .bk-tabs-header.bk-right .bk-headers{flex-direction:column;}.bk-root .bk-tabs-header .bk-headers{position:relative;display:flex;flex-wrap:nowrap;align-items:center;}.bk-root .bk-tabs-header .bk-tab{padding:4px 8px;border:solid transparent;white-space:nowrap;cursor:pointer;}.bk-root .bk-tabs-header .bk-tab:hover{background-color:#f2f2f2;}.bk-root .bk-tabs-header .bk-tab.bk-active{color:#4d4d4d;background-color:white;border-color:#e6e6e6;}.bk-root .bk-tabs-header .bk-tab .bk-close{margin-left:10px;}.bk-root .bk-tabs-header .bk-tab.bk-disabled{cursor:not-allowed;pointer-events:none;opacity:0.65;}.bk-root .bk-tabs-header.bk-above .bk-tab{border-width:3px 1px 0px 1px;border-radius:4px 4px 0 0;}.bk-root .bk-tabs-header.bk-right .bk-tab{border-width:1px 3px 1px 0px;border-radius:0 4px 4px 0;}.bk-root .bk-tabs-header.bk-below .bk-tab{border-width:0px 1px 3px 1px;border-radius:0 0 4px 4px;}.bk-root .bk-tabs-header.bk-left .bk-tab{border-width:1px 0px 1px 3px;border-radius:4px 0 0 4px;}.bk-root .bk-close{display:inline-block;width:10px;height:10px;vertical-align:middle;background-image:url(\\'data:image/svg+xml;utf8, \\');}.bk-root .bk-close:hover{background-image:url(\\'data:image/svg+xml;utf8, \\');}'},\n function _(o,b,r,t,e){t(),r.root=\"bk-root\",r.btn=\"bk-btn\",r.active=\"bk-active\",r.btn_default=\"bk-btn-default\",r.btn_primary=\"bk-btn-primary\",r.btn_success=\"bk-btn-success\",r.btn_warning=\"bk-btn-warning\",r.btn_danger=\"bk-btn-danger\",r.btn_light=\"bk-btn-light\",r.btn_group=\"bk-btn-group\",r.vertical=\"bk-vertical\",r.horizontal=\"bk-horizontal\",r.dropdown_toggle=\"bk-dropdown-toggle\",r.default=\".bk-root .bk-btn{height:100%;display:inline-block;text-align:center;vertical-align:middle;white-space:nowrap;cursor:pointer;padding:6px 12px;font-size:12px;border:1px solid transparent;border-radius:4px;outline:0;user-select:none;-ms-user-select:none;-moz-user-select:none;-webkit-user-select:none;}.bk-root .bk-btn:hover,.bk-root .bk-btn:focus{text-decoration:none;}.bk-root .bk-btn:active,.bk-root .bk-btn.bk-active{background-image:none;box-shadow:inset 0 3px 5px rgba(0, 0, 0, 0.125);}.bk-root .bk-btn[disabled]{cursor:not-allowed;pointer-events:none;opacity:0.65;box-shadow:none;}.bk-root .bk-btn-default{color:#333;background-color:#fff;border-color:#ccc;}.bk-root .bk-btn-default:hover{background-color:#f5f5f5;border-color:#b8b8b8;}.bk-root .bk-btn-default.bk-active{background-color:#ebebeb;border-color:#adadad;}.bk-root .bk-btn-default[disabled],.bk-root .bk-btn-default[disabled]:hover,.bk-root .bk-btn-default[disabled]:focus,.bk-root .bk-btn-default[disabled]:active,.bk-root .bk-btn-default[disabled].bk-active{background-color:#e6e6e6;border-color:#ccc;}.bk-root .bk-btn-primary{color:#fff;background-color:#428bca;border-color:#357ebd;}.bk-root .bk-btn-primary:hover{background-color:#3681c1;border-color:#2c699e;}.bk-root .bk-btn-primary.bk-active{background-color:#3276b1;border-color:#285e8e;}.bk-root .bk-btn-primary[disabled],.bk-root .bk-btn-primary[disabled]:hover,.bk-root .bk-btn-primary[disabled]:focus,.bk-root .bk-btn-primary[disabled]:active,.bk-root .bk-btn-primary[disabled].bk-active{background-color:#506f89;border-color:#357ebd;}.bk-root .bk-btn-success{color:#fff;background-color:#5cb85c;border-color:#4cae4c;}.bk-root .bk-btn-success:hover{background-color:#4eb24e;border-color:#409240;}.bk-root .bk-btn-success.bk-active{background-color:#47a447;border-color:#398439;}.bk-root .bk-btn-success[disabled],.bk-root .bk-btn-success[disabled]:hover,.bk-root .bk-btn-success[disabled]:focus,.bk-root .bk-btn-success[disabled]:active,.bk-root .bk-btn-success[disabled].bk-active{background-color:#667b66;border-color:#4cae4c;}.bk-root .bk-btn-warning{color:#fff;background-color:#f0ad4e;border-color:#eea236;}.bk-root .bk-btn-warning:hover{background-color:#eea43b;border-color:#e89014;}.bk-root .bk-btn-warning.bk-active{background-color:#ed9c28;border-color:#d58512;}.bk-root .bk-btn-warning[disabled],.bk-root .bk-btn-warning[disabled]:hover,.bk-root .bk-btn-warning[disabled]:focus,.bk-root .bk-btn-warning[disabled]:active,.bk-root .bk-btn-warning[disabled].bk-active{background-color:#c89143;border-color:#eea236;}.bk-root .bk-btn-danger{color:#fff;background-color:#d9534f;border-color:#d43f3a;}.bk-root .bk-btn-danger:hover{background-color:#d5433e;border-color:#bd2d29;}.bk-root .bk-btn-danger.bk-active{background-color:#d2322d;border-color:#ac2925;}.bk-root .bk-btn-danger[disabled],.bk-root .bk-btn-danger[disabled]:hover,.bk-root .bk-btn-danger[disabled]:focus,.bk-root .bk-btn-danger[disabled]:active,.bk-root .bk-btn-danger[disabled].bk-active{background-color:#a55350;border-color:#d43f3a;}.bk-root .bk-btn-light{color:#333;background-color:#fff;border-color:#ccc;border-color:transparent;}.bk-root .bk-btn-light:hover{background-color:#f5f5f5;border-color:#b8b8b8;}.bk-root .bk-btn-light.bk-active{background-color:#ebebeb;border-color:#adadad;}.bk-root .bk-btn-light[disabled],.bk-root .bk-btn-light[disabled]:hover,.bk-root .bk-btn-light[disabled]:focus,.bk-root .bk-btn-light[disabled]:active,.bk-root .bk-btn-light[disabled].bk-active{background-color:#e6e6e6;border-color:#ccc;}.bk-root .bk-btn-group{height:100%;display:flex;flex-wrap:nowrap;align-items:center;}.bk-root .bk-btn-group:not(.bk-vertical),.bk-root .bk-btn-group.bk-horizontal{flex-direction:row;}.bk-root .bk-btn-group.bk-vertical{flex-direction:column;}.bk-root .bk-btn-group > .bk-btn{flex-grow:1;}.bk-root .bk-btn-group:not(.bk-vertical) > .bk-btn + .bk-btn{margin-left:-1px;}.bk-root .bk-btn-group.bk-vertical > .bk-btn + .bk-btn{margin-top:-1px;}.bk-root .bk-btn-group:not(.bk-vertical) > .bk-btn:first-child:not(:last-child){border-bottom-right-radius:0;border-top-right-radius:0;}.bk-root .bk-btn-group.bk-vertical > .bk-btn:first-child:not(:last-child){border-bottom-left-radius:0;border-bottom-right-radius:0;}.bk-root .bk-btn-group:not(.bk-vertical) > .bk-btn:not(:first-child):last-child{border-bottom-left-radius:0;border-top-left-radius:0;}.bk-root .bk-btn-group.bk-vertical > .bk-btn:not(:first-child):last-child{border-top-left-radius:0;border-top-right-radius:0;}.bk-root .bk-btn-group > .bk-btn:not(:first-child):not(:last-child){border-radius:0;}.bk-root .bk-btn-group.bk-vertical > .bk-btn{width:100%;}.bk-root .bk-btn-group .bk-dropdown-toggle{flex:0 0 0;padding:6px 6px;}\"},\n function _(e,t,o,n,_){var i;n();const s=e(310);class d extends s.ColumnView{}o.WidgetBoxView=d,d.__name__=\"WidgetBoxView\";class a extends s.Column{constructor(e){super(e)}}o.WidgetBox=a,i=a,a.__name__=\"WidgetBox\",i.prototype.default_view=d},\n function _(t,a,i,e,M){e();var T=t(135);M(\"MathText\",T.MathText),M(\"Ascii\",T.Ascii),M(\"MathML\",T.MathML),M(\"TeX\",T.TeX),M(\"PlainText\",t(139).PlainText)},\n function _(r,o,t,e,n){e(),n(\"CustomJSTransform\",r(322).CustomJSTransform),n(\"Dodge\",r(323).Dodge),n(\"Interpolator\",r(325).Interpolator),n(\"Jitter\",r(326).Jitter),n(\"LinearInterpolator\",r(327).LinearInterpolator),n(\"StepInterpolator\",r(328).StepInterpolator),n(\"Transform\",r(56).Transform)},\n function _(r,t,s,n,e){var a;n();const u=r(56),o=r(13),m=r(34);class _ extends u.Transform{constructor(r){super(r)}get names(){return(0,o.keys)(this.args)}get values(){return(0,o.values)(this.args)}_make_transform(r,t){return new Function(...this.names,r,(0,m.use_strict)(t))}get scalar_transform(){return this._make_transform(\"x\",this.func)}get vector_transform(){return this._make_transform(\"xs\",this.v_func)}compute(r){return this.scalar_transform(...this.values,r)}v_compute(r){return this.vector_transform(...this.values,r)}}s.CustomJSTransform=_,a=_,_.__name__=\"CustomJSTransform\",a.define((({Unknown:r,String:t,Dict:s})=>({args:[s(r),{}],func:[t,\"\"],v_func:[t,\"\"]})))},\n function _(e,n,r,o,s){var t;o();const u=e(324);class a extends u.RangeTransform{constructor(e){super(e)}_compute(e){return e+this.value}}r.Dodge=a,t=a,a.__name__=\"Dodge\",t.define((({Number:e})=>({value:[e,0]})))},\n function _(e,n,t,r,a){var s;r();const c=e(56),o=e(57),i=e(67),u=e(24),h=e(8),l=e(11);class g extends c.Transform{constructor(e){super(e)}v_compute(e){let n;this.range instanceof i.FactorRange?n=this.range.v_synthetic(e):(0,h.isArrayableOf)(e,h.isNumber)?n=e:(0,l.unreachable)();const t=new((0,u.infer_type)(n))(n.length);for(let e=0;e({range:[n(e(o.Range)),null]})))},\n function _(t,e,r,n,s){var o;n();const i=t(56),a=t(70),h=t(24),l=t(9),d=t(8);class c extends i.Transform{constructor(t){super(t),this._sorted_dirty=!0}connect_signals(){super.connect_signals(),this.connect(this.change,(()=>this._sorted_dirty=!0))}v_compute(t){const e=new((0,h.infer_type)(t))(t.length);for(let r=0;ro*(e[t]-e[r]))),this._x_sorted=new((0,h.infer_type)(e))(n),this._y_sorted=new((0,h.infer_type)(r))(n);for(let t=0;t({x:[o(r,s(e))],y:[o(r,s(e))],data:[i(n(a.ColumnarDataSource)),null],clip:[t,!0]})))},\n function _(t,s,e,i,r){i();const n=t(1);var o;const a=t(324),u=t(67),h=t(20),c=t(8),m=t(12),f=(0,n.__importStar)(t(10)),_=t(11);class p extends a.RangeTransform{constructor(t){super(t)}v_compute(t){var s;let e;this.range instanceof u.FactorRange?e=this.range.v_synthetic(t):(0,c.isArrayableOf)(t,c.isNumber)?e=t:(0,_.unreachable)();const i=e.length;(null===(s=this.previous_offsets)||void 0===s?void 0:s.length)!=i&&(this.previous_offsets=new Array(i),this.previous_offsets=(0,m.map)(this.previous_offsets,(()=>this._compute())));const r=this.previous_offsets;return(0,m.map)(e,((t,s)=>r[s]+t))}_compute(){switch(this.distribution){case\"uniform\":return this.mean+(f.random()-.5)*this.width;case\"normal\":return f.rnorm(this.mean,this.width)}}}e.Jitter=p,o=p,p.__name__=\"Jitter\",o.define((({Number:t})=>({mean:[t,0],width:[t,1],distribution:[h.Distribution,\"uniform\"]})))},\n function _(t,s,_,r,e){r();const i=t(9),o=t(325);class n extends o.Interpolator{constructor(t){super(t)}compute(t){if(this.sort(!1),this.clip){if(tthis._x_sorted[this._x_sorted.length-1])return NaN}else{if(tthis._x_sorted[this._x_sorted.length-1])return this._y_sorted[this._y_sorted.length-1]}if(t==this._x_sorted[0])return this._y_sorted[0];const s=(0,i.find_last_index)(this._x_sorted,(s=>sthis._x_sorted[this._x_sorted.length-1])return NaN}else{if(tthis._x_sorted[this._x_sorted.length-1])return this._y_sorted[this._y_sorted.length-1]}let e;switch(this.mode){case\"after\":e=(0,d.find_last_index)(this._x_sorted,(e=>t>=e));break;case\"before\":e=(0,d.find_index)(this._x_sorted,(e=>t<=e));break;case\"center\":{const s=(0,d.map)(this._x_sorted,(e=>Math.abs(e-t))),r=(0,d.min)(s);e=(0,d.find_index)(s,(t=>r===t));break}default:throw new Error(`unknown mode: ${this.mode}`)}return-1!=e?this._y_sorted[e]:NaN}}s.StepInterpolator=h,_=h,h.__name__=\"StepInterpolator\",_.define((()=>({mode:[n.StepMode,\"after\"]})))},\n function _(p,o,t,a,n){a(),n(\"MapOptions\",p(330).MapOptions),n(\"GMapOptions\",p(330).GMapOptions),n(\"GMapPlot\",p(330).GMapPlot),n(\"Plot\",p(331).Plot)},\n function _(e,t,n,o,a){var s,p,_;o();const i=e(331),r=e(53),l=e(58),c=e(336);a(\"GMapPlotView\",c.GMapPlotView);class d extends r.Model{constructor(e){super(e)}}n.MapOptions=d,s=d,d.__name__=\"MapOptions\",s.define((({Int:e,Number:t})=>({lat:[t],lng:[t],zoom:[e,12]})));class u extends d{constructor(e){super(e)}}n.GMapOptions=u,p=u,u.__name__=\"GMapOptions\",p.define((({Boolean:e,Int:t,String:n})=>({map_type:[n,\"roadmap\"],scale_control:[e,!1],styles:[n],tilt:[t,45]})));class M extends i.Plot{constructor(e){super(e),this.use_map=!0}}n.GMapPlot=M,_=M,M.__name__=\"GMapPlot\",_.prototype.default_view=c.GMapPlotView,_.define((({String:e,Ref:t})=>({map_options:[t(u)],api_key:[e],api_version:[e,\"weekly\"]}))),_.override({x_range:()=>new l.Range1d,y_range:()=>new l.Range1d})},\n function _(e,t,r,n,i){n();const o=e(1);var a;const s=(0,o.__importStar)(e(48)),l=(0,o.__importStar)(e(18)),_=e(15),c=e(20),h=e(9),d=e(13),u=e(8),g=e(309),p=e(128),f=e(306),b=e(40),w=e(118),y=e(59),m=e(221),x=e(57),v=e(55),A=e(75),S=e(41),R=e(176),D=e(175),L=e(63),P=e(332);i(\"PlotView\",P.PlotView);class k extends g.LayoutDOM{constructor(e){super(e),this.use_map=!1}_doc_attached(){super._doc_attached(),this._push_changes([[this.properties.inner_height,null,this.inner_height],[this.properties.inner_width,null,this.inner_width]])}initialize(){super.initialize(),this.reset=new _.Signal0(this,\"reset\");for(const e of(0,d.values)(this.extra_x_ranges).concat(this.x_range)){let t=e.plots;(0,u.isArray)(t)&&(t=t.concat(this),e.setv({plots:t},{silent:!0}))}for(const e of(0,d.values)(this.extra_y_ranges).concat(this.y_range)){let t=e.plots;(0,u.isArray)(t)&&(t=t.concat(this),e.setv({plots:t},{silent:!0}))}}add_layout(e,t=\"center\"){const r=this.properties[t].get_value();this.setv({[t]:[...r,e]})}remove_layout(e){const t=t=>{(0,h.remove_by)(t,(t=>t==e))};t(this.left),t(this.right),t(this.above),t(this.below),t(this.center)}get data_renderers(){return this.renderers.filter((e=>e instanceof R.DataRenderer))}add_renderers(...e){this.renderers=this.renderers.concat(e)}add_glyph(e,t=new A.ColumnDataSource,r={}){const n=new D.GlyphRenderer(Object.assign(Object.assign({},r),{data_source:t,glyph:e}));return this.add_renderers(n),n}add_tools(...e){this.toolbar.tools=this.toolbar.tools.concat(e)}get panels(){return[...this.side_panels,...this.center]}get side_panels(){const{above:e,below:t,left:r,right:n}=this;return(0,h.concat)([e,t,r,n])}}r.Plot=k,a=k,k.__name__=\"Plot\",a.prototype.default_view=P.PlotView,a.mixins([[\"outline_\",s.Line],[\"background_\",s.Fill],[\"border_\",s.Fill]]),a.define((({Boolean:e,Number:t,String:r,Array:n,Dict:i,Or:o,Ref:a,Null:s,Nullable:_})=>({toolbar:[a(m.Toolbar),()=>new m.Toolbar],toolbar_location:[_(c.Location),\"right\"],toolbar_sticky:[e,!0],plot_width:[l.Alias(\"width\")],plot_height:[l.Alias(\"height\")],frame_width:[_(t),null],frame_height:[_(t),null],title:[o(a(w.Title),r,s),\"\",{convert:e=>(0,u.isString)(e)?new w.Title({text:e}):e}],title_location:[_(c.Location),\"above\"],above:[n(o(a(b.Annotation),a(p.Axis))),[]],below:[n(o(a(b.Annotation),a(p.Axis))),[]],left:[n(o(a(b.Annotation),a(p.Axis))),[]],right:[n(o(a(b.Annotation),a(p.Axis))),[]],center:[n(o(a(b.Annotation),a(f.Grid))),[]],renderers:[n(a(S.Renderer)),[]],x_range:[a(x.Range),()=>new L.DataRange1d],y_range:[a(x.Range),()=>new L.DataRange1d],x_scale:[a(v.Scale),()=>new y.LinearScale],y_scale:[a(v.Scale),()=>new y.LinearScale],extra_x_ranges:[i(a(x.Range)),{}],extra_y_ranges:[i(a(x.Range)),{}],extra_x_scales:[i(a(v.Scale)),{}],extra_y_scales:[i(a(v.Scale)),{}],lod_factor:[t,10],lod_interval:[t,300],lod_threshold:[_(t),2e3],lod_timeout:[t,500],hidpi:[e,!0],output_backend:[c.OutputBackend,\"canvas\"],min_border:[_(t),5],min_border_top:[_(t),null],min_border_left:[_(t),null],min_border_bottom:[_(t),null],min_border_right:[_(t),null],inner_width:[t,0],inner_height:[t,0],outer_width:[t,0],outer_height:[t,0],match_aspect:[e,!1],aspect_scale:[t,1],reset_policy:[c.ResetPolicy,\"standard\"]}))),a.override({width:600,height:600,outline_line_color:\"#e5e5e5\",border_fill_color:\"#ffffff\",background_fill_color:\"#ffffff\"})},\n function _(e,t,i,s,a){s();const n=e(1),o=e(126),l=e(249),r=e(309),_=e(40),h=e(118),d=e(128),u=e(220),c=e(251),p=e(113),v=e(45),g=e(19),b=e(251),m=e(333),y=e(8),w=e(9),f=e(235),x=e(208),z=e(211),k=e(209),q=e(123),M=e(65),R=e(334),V=e(335),S=e(28);class O extends r.LayoutDOMView{constructor(){super(...arguments),this._outer_bbox=new M.BBox,this._inner_bbox=new M.BBox,this._needs_paint=!0,this._needs_layout=!1,this._invalidated_painters=new Set,this._invalidate_all=!0,this._needs_notify=!1}get canvas(){return this.canvas_view}get state(){return this._state_manager}set invalidate_dataranges(e){this._range_manager.invalidate_dataranges=e}renderer_view(e){const t=this.renderer_views.get(e);if(null==t)for(const[,t]of this.renderer_views){const i=t.renderer_view(e);if(null!=i)return i}return t}get is_paused(){return null!=this._is_paused&&0!==this._is_paused}get child_models(){return[]}pause(){null==this._is_paused?this._is_paused=1:this._is_paused+=1}unpause(e=!1){if(null==this._is_paused)throw new Error(\"wasn't paused\");this._is_paused-=1,0!=this._is_paused||e||this.request_paint(\"everything\")}notify_finished_after_paint(){this._needs_notify=!0}request_render(){this.request_paint(\"everything\")}request_paint(e){this.invalidate_painters(e),this.schedule_paint()}invalidate_painters(e){if(\"everything\"==e)this._invalidate_all=!0;else if((0,y.isArray)(e))for(const t of e)this._invalidated_painters.add(t);else this._invalidated_painters.add(e)}schedule_paint(){if(!this.is_paused){const e=this.throttled_paint();this._ready=this._ready.then((()=>e))}}request_layout(){this._needs_layout=!0,this.request_paint(\"everything\")}reset(){\"standard\"==this.model.reset_policy&&(this.state.clear(),this.reset_range(),this.reset_selection()),this.model.trigger_event(new c.Reset)}remove(){(0,p.remove_views)(this.renderer_views),(0,p.remove_views)(this.tool_views),this.canvas_view.remove(),super.remove()}render(){super.render(),this.el.appendChild(this.canvas_view.el),this.canvas_view.render()}initialize(){this.pause(),super.initialize(),this.lod_started=!1,this.visuals=new v.Visuals(this),this._initial_state={selection:new Map,dimensions:{width:0,height:0}},this.visibility_callbacks=[],this.renderer_views=new Map,this.tool_views=new Map,this.frame=new o.CartesianFrame(this.model.x_scale,this.model.y_scale,this.model.x_range,this.model.y_range,this.model.extra_x_ranges,this.model.extra_y_ranges,this.model.extra_x_scales,this.model.extra_y_scales),this._range_manager=new R.RangeManager(this),this._state_manager=new V.StateManager(this,this._initial_state),this.throttled_paint=(0,m.throttle)((()=>this.repaint()),1e3/60);const{title_location:e,title:t}=this.model;null!=e&&null!=t&&(this._title=t instanceof h.Title?t:new h.Title({text:t}));const{toolbar_location:i,toolbar:s}=this.model;null!=i&&null!=s&&(this._toolbar=new u.ToolbarPanel({toolbar:s}),s.toolbar_location=i)}async lazy_initialize(){await super.lazy_initialize();const{hidpi:e,output_backend:t}=this.model,i=new l.Canvas({hidpi:e,output_backend:t});this.canvas_view=await(0,p.build_view)(i,{parent:this}),this.canvas_view.plot_views=[this],await this.build_renderer_views(),await this.build_tool_views(),this._range_manager.update_dataranges(),this.unpause(!0),g.logger.debug(\"PlotView initialized\")}_width_policy(){return null==this.model.frame_width?super._width_policy():\"min\"}_height_policy(){return null==this.model.frame_height?super._height_policy():\"min\"}_update_layout(){var e,t,i,s,a;this.layout=new z.BorderLayout,this.layout.set_sizing(this.box_sizing());const n=(0,w.copy)(this.model.above),o=(0,w.copy)(this.model.below),l=(0,w.copy)(this.model.left),r=(0,w.copy)(this.model.right),d=e=>{switch(e){case\"above\":return n;case\"below\":return o;case\"left\":return l;case\"right\":return r}},{title_location:c,title:p}=this.model;null!=c&&null!=p&&d(c).push(this._title);const{toolbar_location:v,toolbar:g}=this.model;if(null!=v&&null!=g){const e=d(v);let t=!0;if(this.model.toolbar_sticky)for(let i=0;i{var i;const s=this.renderer_view(t);return s.panel=new q.Panel(e),null===(i=s.update_layout)||void 0===i||i.call(s),s.layout},m=(e,t)=>{const i=\"above\"==e||\"below\"==e,s=[];for(const a of t)if((0,y.isArray)(a)){const t=a.map((t=>{const s=b(e,t);if(t instanceof u.ToolbarPanel){const e=i?\"width_policy\":\"height_policy\";s.set_sizing(Object.assign(Object.assign({},s.sizing),{[e]:\"min\"}))}return s}));let n;i?(n=new k.Row(t),n.set_sizing({width_policy:\"max\",height_policy:\"min\"})):(n=new k.Column(t),n.set_sizing({width_policy:\"min\",height_policy:\"max\"})),n.absolute=!0,s.push(n)}else s.push(b(e,a));return s},f=null!==(e=this.model.min_border)&&void 0!==e?e:0;this.layout.min_border={left:null!==(t=this.model.min_border_left)&&void 0!==t?t:f,top:null!==(i=this.model.min_border_top)&&void 0!==i?i:f,right:null!==(s=this.model.min_border_right)&&void 0!==s?s:f,bottom:null!==(a=this.model.min_border_bottom)&&void 0!==a?a:f};const M=new x.NodeLayout,R=new x.VStack,V=new x.VStack,S=new x.HStack,O=new x.HStack;M.absolute=!0,R.absolute=!0,V.absolute=!0,S.absolute=!0,O.absolute=!0,M.children=this.model.center.filter((e=>e instanceof _.Annotation)).map((e=>{var t;const i=this.renderer_view(e);return null===(t=i.update_layout)||void 0===t||t.call(i),i.layout})).filter((e=>null!=e));const{frame_width:P,frame_height:j}=this.model;M.set_sizing(Object.assign(Object.assign({},null!=P?{width_policy:\"fixed\",width:P}:{width_policy:\"fit\"}),null!=j?{height_policy:\"fixed\",height:j}:{height_policy:\"fit\"})),M.on_resize((e=>this.frame.set_geometry(e))),R.children=(0,w.reversed)(m(\"above\",n)),V.children=m(\"below\",o),S.children=(0,w.reversed)(m(\"left\",l)),O.children=m(\"right\",r),R.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),V.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),S.set_sizing({width_policy:\"min\",height_policy:\"fit\"}),O.set_sizing({width_policy:\"min\",height_policy:\"fit\"}),this.layout.center_panel=M,this.layout.top_panel=R,this.layout.bottom_panel=V,this.layout.left_panel=S,this.layout.right_panel=O}get axis_views(){const e=[];for(const[,t]of this.renderer_views)t instanceof d.AxisView&&e.push(t);return e}set_toolbar_visibility(e){for(const t of this.visibility_callbacks)t(e)}update_range(e,t){this.pause(),this._range_manager.update(e,t),this.unpause()}reset_range(){this.update_range(null),this.trigger_ranges_update_event()}trigger_ranges_update_event(){const{x_range:e,y_range:t}=this.model;this.model.trigger_event(new b.RangesUpdate(e.start,e.end,t.start,t.end))}get_selection(){const e=new Map;for(const t of this.model.data_renderers){const{selected:i}=t.selection_manager.source;e.set(t,i)}return e}update_selection(e){for(const t of this.model.data_renderers){const i=t.selection_manager.source;if(null!=e){const s=e.get(t);null!=s&&i.selected.update(s,!0)}else i.selection_manager.clear()}}reset_selection(){this.update_selection(null)}_invalidate_layout(){(()=>{var e;for(const t of this.model.side_panels){const i=this.renderer_views.get(t);if(null===(e=i.layout)||void 0===e?void 0:e.has_size_changed())return this.invalidate_painters(i),!0}return!1})()&&this.root.compute_layout()}get_renderer_views(){return this.computed_renderers.map((e=>this.renderer_views.get(e)))}*_compute_renderers(){const{above:e,below:t,left:i,right:s,center:a,renderers:n}=this.model;yield*n,yield*e,yield*t,yield*i,yield*s,yield*a,null!=this._title&&(yield this._title),null!=this._toolbar&&(yield this._toolbar);for(const e of this.model.toolbar.tools)null!=e.overlay&&(yield e.overlay),yield*e.synthetic_renderers}async build_renderer_views(){this.computed_renderers=[...this._compute_renderers()],await(0,p.build_views)(this.renderer_views,this.computed_renderers,{parent:this})}async build_tool_views(){const e=this.model.toolbar.tools;(await(0,p.build_views)(this.tool_views,e,{parent:this})).map((e=>this.canvas_view.ui_event_bus.register_tool(e)))}connect_signals(){super.connect_signals();const{x_ranges:e,y_ranges:t}=this.frame;for(const[,t]of e)this.connect(t.change,(()=>{this._needs_layout=!0,this.request_paint(\"everything\")}));for(const[,e]of t)this.connect(e.change,(()=>{this._needs_layout=!0,this.request_paint(\"everything\")}));const{above:i,below:s,left:a,right:n,center:o,renderers:l}=this.model.properties;this.on_change([i,s,a,n,o,l],(async()=>await this.build_renderer_views())),this.connect(this.model.toolbar.properties.tools.change,(async()=>{await this.build_renderer_views(),await this.build_tool_views()})),this.connect(this.model.change,(()=>this.request_paint(\"everything\"))),this.connect(this.model.reset,(()=>this.reset()))}has_finished(){if(!super.has_finished())return!1;if(this.model.visible)for(const[,e]of this.renderer_views)if(!e.has_finished())return!1;return!0}after_layout(){var e;super.after_layout();for(const[,t]of this.renderer_views)t instanceof _.AnnotationView&&(null===(e=t.after_layout)||void 0===e||e.call(t));if(this._needs_layout=!1,this.model.setv({inner_width:Math.round(this.frame.bbox.width),inner_height:Math.round(this.frame.bbox.height),outer_width:Math.round(this.layout.bbox.width),outer_height:Math.round(this.layout.bbox.height)},{no_change:!0}),!1!==this.model.match_aspect&&(this.pause(),this._range_manager.update_dataranges(),this.unpause(!0)),!this._outer_bbox.equals(this.layout.bbox)){const{width:e,height:t}=this.layout.bbox;this.canvas_view.resize(e,t),this._outer_bbox=this.layout.bbox,this._invalidate_all=!0,this._needs_paint=!0}const{inner_bbox:t}=this.layout;this._inner_bbox.equals(t)||(this._inner_bbox=t,this._needs_paint=!0),this._needs_paint&&this.paint()}repaint(){this._needs_layout&&this._invalidate_layout(),this.paint()}paint(){this.is_paused||(this.model.visible&&(g.logger.trace(`${this.toString()}.paint()`),this._actual_paint()),this._needs_notify&&(this._needs_notify=!1,this.notify_finished()))}_actual_paint(){var e;const{document:t}=this.model;if(null!=t){const e=t.interactive_duration();e>=0&&e{t.interactive_duration()>this.model.lod_timeout&&t.interactive_stop(),this.request_paint(\"everything\")}),this.model.lod_timeout):t.interactive_stop()}this._range_manager.invalidate_dataranges&&(this._range_manager.update_dataranges(),this._invalidate_layout());let i=!1,s=!1;if(this._invalidate_all)i=!0,s=!0;else for(const e of this._invalidated_painters){const{level:t}=e.model;if(\"overlay\"!=t?i=!0:s=!0,i&&s)break}this._invalidated_painters.clear(),this._invalidate_all=!1;const a=[this.frame.bbox.left,this.frame.bbox.top,this.frame.bbox.width,this.frame.bbox.height],{primary:n,overlays:o}=this.canvas_view;i&&(n.prepare(),this.canvas_view.prepare_webgl(a),this._map_hook(n.ctx,a),this._paint_empty(n.ctx,a),this._paint_outline(n.ctx,a),this._paint_levels(n.ctx,\"image\",a,!0),this._paint_levels(n.ctx,\"underlay\",a,!0),this._paint_levels(n.ctx,\"glyph\",a,!0),this._paint_levels(n.ctx,\"guide\",a,!1),this._paint_levels(n.ctx,\"annotation\",a,!1),n.finish()),(s||S.settings.wireframe)&&(o.prepare(),this._paint_levels(o.ctx,\"overlay\",a,!1),S.settings.wireframe&&this._paint_layout(o.ctx,this.layout),o.finish()),null==this._initial_state.range&&(this._initial_state.range=null!==(e=this._range_manager.compute_initial())&&void 0!==e?e:void 0),this._needs_paint=!1}_paint_levels(e,t,i,s){for(const a of this.computed_renderers){if(a.level!=t)continue;const n=this.renderer_views.get(a);e.save(),(s||n.needs_clip)&&(e.beginPath(),e.rect(...i),e.clip()),n.render(),e.restore(),n.has_webgl&&n.needs_webgl_blit&&this.canvas_view.blit_webgl(e)}}_paint_layout(e,t){const{x:i,y:s,width:a,height:n}=t.bbox;e.strokeStyle=\"blue\",e.strokeRect(i,s,a,n);for(const a of t)e.save(),t.absolute||e.translate(i,s),this._paint_layout(e,a),e.restore()}_map_hook(e,t){}_paint_empty(e,t){const[i,s,a,n]=[0,0,this.layout.bbox.width,this.layout.bbox.height],[o,l,r,_]=t;this.visuals.border_fill.doit&&(this.visuals.border_fill.set_value(e),e.fillRect(i,s,a,n),e.clearRect(o,l,r,_)),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(e),e.fillRect(o,l,r,_))}_paint_outline(e,t){if(this.visuals.outline_line.doit){e.save(),this.visuals.outline_line.set_value(e);let[i,s,a,n]=t;i+a==this.layout.bbox.width&&(a-=1),s+n==this.layout.bbox.height&&(n-=1),e.strokeRect(i,s,a,n),e.restore()}}to_blob(){return this.canvas_view.to_blob()}export(e,t=!0){const i=\"png\"==e?\"canvas\":\"svg\",s=new f.CanvasLayer(i,t),{width:a,height:n}=this.layout.bbox;s.resize(a,n);const{canvas:o}=this.canvas_view.compose();return s.ctx.drawImage(o,0,0),s}serializable_state(){const e=super.serializable_state(),{children:t}=e,i=(0,n.__rest)(e,[\"children\"]),s=this.get_renderer_views().map((e=>e.serializable_state())).filter((e=>null!=e.bbox));return Object.assign(Object.assign({},i),{children:[...null!=t?t:[],...s]})}}i.PlotView=O,O.__name__=\"PlotView\"},\n function _(t,n,e,o,u){o(),e.throttle=function(t,n){let e=null,o=0,u=!1;return function(){return new Promise(((r,i)=>{const l=function(){o=Date.now(),e=null,u=!1;try{t(),r()}catch(t){i(t)}},a=Date.now(),c=n-(a-o);c<=0&&!u?(null!=e&&clearTimeout(e),u=!0,requestAnimationFrame(l)):e||u?r():e=setTimeout((()=>requestAnimationFrame(l)),c)}))}}},\n function _(t,n,e,a,s){a();const o=t(63),r=t(19);class l{constructor(t){this.parent=t,this.invalidate_dataranges=!0}get frame(){return this.parent.frame}update(t,n){const{x_ranges:e,y_ranges:a}=this.frame;if(null==t){for(const[,t]of e)t.reset();for(const[,t]of a)t.reset();this.update_dataranges()}else{const s=[];for(const[n,a]of e)s.push([a,t.xrs.get(n)]);for(const[n,e]of a)s.push([e,t.yrs.get(n)]);(null==n?void 0:n.scrolling)&&this._update_ranges_together(s),this._update_ranges_individually(s,n)}}reset(){this.update(null)}_update_dataranges(t){const n=new Map,e=new Map;let a=!1;for(const[,n]of t.x_ranges)n instanceof o.DataRange1d&&\"log\"==n.scale_hint&&(a=!0);for(const[,n]of t.y_ranges)n instanceof o.DataRange1d&&\"log\"==n.scale_hint&&(a=!0);for(const t of this.parent.model.data_renderers){const s=this.parent.renderer_view(t);if(null==s)continue;const o=s.glyph_view.bounds();if(null!=o&&n.set(t,o),a){const n=s.glyph_view.log_bounds();null!=n&&e.set(t,n)}}let s=!1,l=!1;const i=t.x_target.span,d=t.y_target.span;let u;!1!==this.parent.model.match_aspect&&0!=i&&0!=d&&(u=1/this.parent.model.aspect_scale*(i/d));for(const[,a]of t.x_ranges){if(a instanceof o.DataRange1d){const t=\"log\"==a.scale_hint?e:n;a.update(t,0,this.parent.model,u),a.follow&&(s=!0)}null!=a.bounds&&(l=!0)}for(const[,a]of t.y_ranges){if(a instanceof o.DataRange1d){const t=\"log\"==a.scale_hint?e:n;a.update(t,1,this.parent.model,u),a.follow&&(s=!0)}null!=a.bounds&&(l=!0)}if(s&&l){r.logger.warn(\"Follow enabled so bounds are unset.\");for(const[,n]of t.x_ranges)n.bounds=null;for(const[,n]of t.y_ranges)n.bounds=null}}update_dataranges(){this._update_dataranges(this.frame);for(const t of this.parent.model.renderers){const{coordinates:n}=t;null!=n&&this._update_dataranges(n)}null!=this.compute_initial()&&(this.invalidate_dataranges=!1)}compute_initial(){let t=!0;const{x_ranges:n,y_ranges:e}=this.frame,a=new Map,s=new Map;for(const[e,s]of n){const{start:n,end:o}=s;if(null==n||null==o||isNaN(n+o)){t=!1;break}a.set(e,{start:n,end:o})}if(t)for(const[n,a]of e){const{start:e,end:o}=a;if(null==e||null==o||isNaN(e+o)){t=!1;break}s.set(n,{start:e,end:o})}return t?{xrs:a,yrs:s}:(r.logger.warn(\"could not set initial ranges\"),null)}_update_ranges_together(t){let n=1;for(const[e,a]of t)n=Math.min(n,this._get_weight_to_constrain_interval(e,a));if(n<1)for(const[e,a]of t)a.start=n*a.start+(1-n)*e.start,a.end=n*a.end+(1-n)*e.end}_update_ranges_individually(t,n){const e=!!(null==n?void 0:n.panning),a=!!(null==n?void 0:n.scrolling);let s=!1;for(const[n,o]of t){if(!a){const t=this._get_weight_to_constrain_interval(n,o);t<1&&(o.start=t*o.start+(1-t)*n.start,o.end=t*o.end+(1-t)*n.end)}if(null!=n.bounds&&\"auto\"!=n.bounds){const[t,r]=n.bounds,l=Math.abs(o.end-o.start);n.is_reversed?(null!=t&&t>o.end&&(s=!0,o.end=t,(e||a)&&(o.start=t+l)),null!=r&&ro.start&&(s=!0,o.start=t,(e||a)&&(o.end=t+l)),null!=r&&r0&&r0&&r>a&&(s=(a-o)/(r-o)),s=Math.max(0,Math.min(1,s))}return s}}e.RangeManager=l,l.__name__=\"RangeManager\"},\n function _(t,i,s,e,n){e();const h=t(15);class a{constructor(t,i){this.parent=t,this.initial_state=i,this.changed=new h.Signal0(this.parent,\"state_changed\"),this.history=[],this.index=-1}_do_state_change(t){const i=null!=this.history[t]?this.history[t].state:this.initial_state;return null!=i.range&&this.parent.update_range(i.range),null!=i.selection&&this.parent.update_selection(i.selection),i}push(t,i){const{history:s,index:e}=this,n=null!=s[e]?s[e].state:{},h=Object.assign(Object.assign(Object.assign({},this.initial_state),n),i);this.history=this.history.slice(0,this.index+1),this.history.push({type:t,state:h}),this.index=this.history.length-1,this.changed.emit()}clear(){this.history=[],this.index=-1,this.changed.emit()}undo(){if(this.can_undo){this.index-=1;const t=this._do_state_change(this.index);return this.changed.emit(),t}return null}redo(){if(this.can_redo){this.index+=1;const t=this._do_state_change(this.index);return this.changed.emit(),t}return null}get can_undo(){return this.index>=0}get can_redo(){return this.indexm.emit();const s=encodeURIComponent,o=document.createElement(\"script\");o.type=\"text/javascript\",o.src=`https://maps.googleapis.com/maps/api/js?v=${s(e)}&key=${s(t)}&callback=_bokeh_gmaps_callback`,document.body.appendChild(o)}(t,e)}m.connect((()=>this.request_paint(\"everything\")))}this.unpause()}remove(){(0,p.remove)(this.map_el),super.remove()}update_range(t,e){var s,o;if(null==t)this.map.setCenter({lat:this.initial_lat,lng:this.initial_lng}),this.map.setOptions({zoom:this.initial_zoom}),super.update_range(null,e);else if(null!=t.sdx||null!=t.sdy)this.map.panBy(null!==(s=t.sdx)&&void 0!==s?s:0,null!==(o=t.sdy)&&void 0!==o?o:0),super.update_range(t,e);else if(null!=t.factor){if(10!==this.zoom_count)return void(this.zoom_count+=1);this.zoom_count=0,this.pause(),super.update_range(t,e);const s=t.factor<0?-1:1,o=this.map.getZoom();if(null!=o){const t=o+s;if(t>=2){this.map.setZoom(t);const[e,s]=this._get_projected_bounds();s-e<0&&this.map.setZoom(o)}}this.unpause()}this._set_bokeh_ranges()}_build_map(){const{maps:t}=google;this.map_types={satellite:t.MapTypeId.SATELLITE,terrain:t.MapTypeId.TERRAIN,roadmap:t.MapTypeId.ROADMAP,hybrid:t.MapTypeId.HYBRID};const e=this.model.map_options,s={center:new t.LatLng(e.lat,e.lng),zoom:e.zoom,disableDefaultUI:!0,mapTypeId:this.map_types[e.map_type],scaleControl:e.scale_control,tilt:e.tilt};null!=e.styles&&(s.styles=JSON.parse(e.styles)),this.map_el=(0,p.div)({style:{position:\"absolute\"}}),this.canvas_view.add_underlay(this.map_el),this.map=new t.Map(this.map_el,s),t.event.addListener(this.map,\"idle\",(()=>this._set_bokeh_ranges())),t.event.addListener(this.map,\"bounds_changed\",(()=>this._set_bokeh_ranges())),t.event.addListenerOnce(this.map,\"tilesloaded\",(()=>this._render_finished())),this.connect(this.model.properties.map_options.change,(()=>this._update_options())),this.connect(this.model.map_options.properties.styles.change,(()=>this._update_styles())),this.connect(this.model.map_options.properties.lat.change,(()=>this._update_center(\"lat\"))),this.connect(this.model.map_options.properties.lng.change,(()=>this._update_center(\"lng\"))),this.connect(this.model.map_options.properties.zoom.change,(()=>this._update_zoom())),this.connect(this.model.map_options.properties.map_type.change,(()=>this._update_map_type())),this.connect(this.model.map_options.properties.scale_control.change,(()=>this._update_scale_control())),this.connect(this.model.map_options.properties.tilt.change,(()=>this._update_tilt()))}_render_finished(){this._tiles_loaded=!0,this.notify_finished()}has_finished(){return super.has_finished()&&!0===this._tiles_loaded}_get_latlon_bounds(){const t=this.map.getBounds(),e=t.getNorthEast(),s=t.getSouthWest();return[s.lng(),e.lng(),s.lat(),e.lat()]}_get_projected_bounds(){const[t,e,s,o]=this._get_latlon_bounds(),[i,a]=l.wgs84_mercator.compute(t,s),[n,p]=l.wgs84_mercator.compute(e,o);return[i,n,a,p]}_set_bokeh_ranges(){const[t,e,s,o]=this._get_projected_bounds();this.frame.x_range.setv({start:t,end:e}),this.frame.y_range.setv({start:s,end:o})}_update_center(t){var e;const s=null===(e=this.map.getCenter())||void 0===e?void 0:e.toJSON();null!=s&&(s[t]=this.model.map_options[t],this.map.setCenter(s),this._set_bokeh_ranges())}_update_map_type(){this.map.setOptions({mapTypeId:this.map_types[this.model.map_options.map_type]})}_update_scale_control(){this.map.setOptions({scaleControl:this.model.map_options.scale_control})}_update_tilt(){this.map.setOptions({tilt:this.model.map_options.tilt})}_update_options(){this._update_styles(),this._update_center(\"lat\"),this._update_center(\"lng\"),this._update_zoom(),this._update_map_type()}_update_styles(){this.map.setOptions({styles:JSON.parse(this.model.map_options.styles)})}_update_zoom(){this.map.setOptions({zoom:this.model.map_options.zoom}),this._set_bokeh_ranges()}_map_hook(t,e){if(null==this.map&&\"undefined\"!=typeof google&&null!=google.maps&&this._build_map(),null!=this.map_el){const[t,s,o,i]=e;this.map_el.style.top=`${s}px`,this.map_el.style.left=`${t}px`,this.map_el.style.width=`${o}px`,this.map_el.style.height=`${i}px`}}_paint_empty(t,e){const s=this.layout.bbox.width,o=this.layout.bbox.height,[i,a,n,p]=e;t.clearRect(0,0,s,o),t.beginPath(),t.moveTo(0,0),t.lineTo(0,o),t.lineTo(s,o),t.lineTo(s,0),t.lineTo(0,0),t.moveTo(i,a),t.lineTo(i+n,a),t.lineTo(i+n,a+p),t.lineTo(i,a+p),t.lineTo(i,a),t.closePath(),null!=this.model.border_fill_color&&(t.fillStyle=(0,_.color2css)(this.model.border_fill_color),t.fill())}}s.GMapPlotView=d,d.__name__=\"GMapPlotView\"},\n function _(t,_,n,o,r){o();(0,t(1).__exportStar)(t(132),n)},\n function _(e,r,d,n,R){n(),R(\"GlyphRenderer\",e(175).GlyphRenderer),R(\"GraphRenderer\",e(339).GraphRenderer),R(\"GuideRenderer\",e(129).GuideRenderer);var G=e(41);R(\"Renderer\",G.Renderer),R(\"RendererGroup\",G.RendererGroup)},\n function _(e,r,i,n,t){var o;n();const s=e(176),d=e(175),a=e(303),p=e(302),l=e(113),_=e(178),h=e(283),y=e(286);class c extends s.DataRendererView{get glyph_view(){return this.node_view.glyph}async lazy_initialize(){await super.lazy_initialize(),this.apply_coordinates();const{parent:e}=this,{edge_renderer:r,node_renderer:i}=this.model;this.edge_view=await(0,l.build_view)(r,{parent:e}),this.node_view=await(0,l.build_view)(i,{parent:e})}connect_signals(){super.connect_signals(),this.connect(this.model.layout_provider.change,(()=>{this.apply_coordinates(),this.edge_view.set_data(),this.node_view.set_data(),this.request_render()}))}apply_coordinates(){const{edge_renderer:e,node_renderer:r}=this.model;if(!(e.glyph instanceof h.MultiLine||e.glyph instanceof y.Patches))throw new Error(`${this}.edge_renderer.glyph must be a MultiLine glyph`);if(!(r.glyph instanceof _.XYGlyph))throw new Error(`${this}.node_renderer.glyph must be a XYGlyph glyph`);const i=this.model.layout_provider.edge_coordinates,n=this.model.layout_provider.node_coordinates;e.glyph.properties.xs.internal=!0,e.glyph.properties.ys.internal=!0,r.glyph.properties.x.internal=!0,r.glyph.properties.y.internal=!0,e.glyph.xs={expr:i.x},e.glyph.ys={expr:i.y},r.glyph.x={expr:n.x},r.glyph.y={expr:n.y}}remove(){this.edge_view.remove(),this.node_view.remove(),super.remove()}_render(){this.edge_view.render(),this.node_view.render()}renderer_view(e){if(e instanceof d.GlyphRenderer){if(e==this.edge_view.model)return this.edge_view;if(e==this.node_view.model)return this.node_view}return super.renderer_view(e)}}i.GraphRendererView=c,c.__name__=\"GraphRendererView\";class g extends s.DataRenderer{constructor(e){super(e)}get_selection_manager(){return this.node_renderer.data_source.selection_manager}}i.GraphRenderer=g,o=g,g.__name__=\"GraphRenderer\",o.prototype.default_view=c,o.define((({Ref:e})=>({layout_provider:[e(a.LayoutProvider)],node_renderer:[e(d.GlyphRenderer)],edge_renderer:[e(d.GlyphRenderer)],selection_policy:[e(p.GraphHitTestPolicy),()=>new p.NodesOnly],inspection_policy:[e(p.GraphHitTestPolicy),()=>new p.NodesOnly]})))},\n function _(e,t,n,o,c){o();(0,e(1).__exportStar)(e(74),n),c(\"Selection\",e(72).Selection)},\n function _(a,e,S,o,r){o(),r(\"ServerSentDataSource\",a(342).ServerSentDataSource),r(\"AjaxDataSource\",a(344).AjaxDataSource),r(\"ColumnDataSource\",a(75).ColumnDataSource),r(\"ColumnarDataSource\",a(70).ColumnarDataSource),r(\"CDSView\",a(190).CDSView),r(\"DataSource\",a(71).DataSource),r(\"GeoJSONDataSource\",a(345).GeoJSONDataSource),r(\"WebDataSource\",a(343).WebDataSource)},\n function _(e,t,i,a,s){a();const n=e(343);class r extends n.WebDataSource{constructor(e){super(e),this.initialized=!1}setup(){if(!this.initialized){this.initialized=!0;new EventSource(this.data_url).onmessage=e=>{var t;this.load_data(JSON.parse(e.data),this.mode,null!==(t=this.max_size)&&void 0!==t?t:void 0)}}}}i.ServerSentDataSource=r,r.__name__=\"ServerSentDataSource\"},\n function _(e,t,a,n,r){var s;n();const l=e(75),o=e(20);class c extends l.ColumnDataSource{constructor(e){super(e)}get_column(e){const t=this.data[e];return null!=t?t:[]}get_length(){var e;return null!==(e=super.get_length())&&void 0!==e?e:0}initialize(){super.initialize(),this.setup()}load_data(e,t,a){const{adapter:n}=this;let r;switch(r=null!=n?n.execute(this,{response:e}):e,t){case\"replace\":this.data=r;break;case\"append\":{const e=this.data;for(const t of this.columns()){const n=Array.from(e[t]),s=Array.from(r[t]),l=n.concat(s);r[t]=null!=a?l.slice(-a):l}this.data=r;break}}}}a.WebDataSource=c,s=c,c.__name__=\"WebDataSource\",s.define((({Any:e,Int:t,String:a,Nullable:n})=>({max_size:[n(t),null],mode:[o.UpdateMode,\"replace\"],adapter:[n(e),null],data_url:[a]})))},\n function _(t,e,i,s,a){var n;s();const r=t(343),o=t(20),l=t(19),d=t(13);class h extends r.WebDataSource{constructor(t){super(t),this.interval=null,this.initialized=!1}destroy(){null!=this.interval&&clearInterval(this.interval),super.destroy()}setup(){if(!this.initialized&&(this.initialized=!0,this.get_data(this.mode),null!=this.polling_interval)){const t=()=>this.get_data(this.mode,this.max_size,this.if_modified);this.interval=setInterval(t,this.polling_interval)}}get_data(t,e=null,i=!1){const s=this.prepare_request();s.addEventListener(\"load\",(()=>this.do_load(s,t,null!=e?e:void 0))),s.addEventListener(\"error\",(()=>this.do_error(s))),s.send()}prepare_request(){const t=new XMLHttpRequest;t.open(this.method,this.data_url,!0),t.withCredentials=!1,t.setRequestHeader(\"Content-Type\",this.content_type);const e=this.http_headers;for(const[i,s]of(0,d.entries)(e))t.setRequestHeader(i,s);return t}do_load(t,e,i){if(200===t.status){const s=JSON.parse(t.responseText);this.load_data(s,e,i)}}do_error(t){l.logger.error(`Failed to fetch JSON from ${this.data_url} with code ${t.status}`)}}i.AjaxDataSource=h,n=h,h.__name__=\"AjaxDataSource\",n.define((({Boolean:t,Int:e,String:i,Dict:s,Nullable:a})=>({polling_interval:[a(e),null],content_type:[i,\"application/json\"],http_headers:[s(i),{}],method:[o.HTTPMethod,\"POST\"],if_modified:[t,!1]})))},\n function _(e,t,o,r,n){var s;r();const a=e(70),i=e(19),l=e(9),c=e(13);function _(e){return null!=e?e:NaN}const{hasOwnProperty:g}=Object.prototype;class u extends a.ColumnarDataSource{constructor(e){super(e)}initialize(){super.initialize(),this._update_data()}connect_signals(){super.connect_signals(),this.connect(this.properties.geojson.change,(()=>this._update_data()))}_update_data(){this.data=this.geojson_to_column_data()}_get_new_list_array(e){return(0,l.range)(0,e).map((e=>[]))}_get_new_nan_array(e){return(0,l.range)(0,e).map((e=>NaN))}_add_properties(e,t,o,r){var n;const s=null!==(n=e.properties)&&void 0!==n?n:{};for(const[e,n]of(0,c.entries)(s))g.call(t,e)||(t[e]=this._get_new_nan_array(r)),t[e][o]=_(n)}_add_geometry(e,t,o){function r(e,t){return e.concat([[NaN,NaN,NaN]]).concat(t)}switch(e.type){case\"Point\":{const[r,n,s]=e.coordinates;t.x[o]=r,t.y[o]=n,t.z[o]=_(s);break}case\"LineString\":{const{coordinates:r}=e;for(let e=0;e1&&i.logger.warn(\"Bokeh does not support Polygons with holes in, only exterior ring used.\");const r=e.coordinates[0];for(let e=0;e1&&i.logger.warn(\"Bokeh does not support Polygons with holes in, only exterior ring used.\"),n.push(t[0]);const s=n.reduce(r);for(let e=0;e({geojson:[e]}))),s.internal((({Dict:e,Arrayable:t})=>({data:[e(t),{}]})))},\n function _(e,r,T,o,S){o(),S(\"BBoxTileSource\",e(347).BBoxTileSource),S(\"MercatorTileSource\",e(348).MercatorTileSource),S(\"QUADKEYTileSource\",e(351).QUADKEYTileSource),S(\"TileRenderer\",e(352).TileRenderer),S(\"TileSource\",e(349).TileSource),S(\"TMSTileSource\",e(355).TMSTileSource),S(\"WMTSTileSource\",e(353).WMTSTileSource)},\n function _(e,t,r,o,l){var i;o();const n=e(348);class s extends n.MercatorTileSource{constructor(e){super(e)}get_image_url(e,t,r){const o=this.string_lookup_replace(this.url,this.extra_url_vars);let l,i,n,s;return this.use_latlon?[i,s,l,n]=this.get_tile_geographic_bounds(e,t,r):[i,s,l,n]=this.get_tile_meter_bounds(e,t,r),o.replace(\"{XMIN}\",i.toString()).replace(\"{YMIN}\",s.toString()).replace(\"{XMAX}\",l.toString()).replace(\"{YMAX}\",n.toString())}}r.BBoxTileSource=s,i=s,s.__name__=\"BBoxTileSource\",i.define((({Boolean:e})=>({use_latlon:[e,!1]})))},\n function _(t,e,i,_,s){var r;_();const o=t(349),n=t(9),l=t(350);class u extends o.TileSource{constructor(t){super(t)}initialize(){super.initialize(),this._resolutions=(0,n.range)(this.min_zoom,this.max_zoom+1).map((t=>this.get_resolution(t)))}_computed_initial_resolution(){return null!=this.initial_resolution?this.initial_resolution:2*Math.PI*6378137/this.tile_size}is_valid_tile(t,e,i){return!(!this.wrap_around&&(t<0||t>=2**i))&&!(e<0||e>=2**i)}parent_by_tile_xyz(t,e,i){const _=this.tile_xyz_to_quadkey(t,e,i),s=_.substring(0,_.length-1);return this.quadkey_to_tile_xyz(s)}get_resolution(t){return this._computed_initial_resolution()/2**t}get_resolution_by_extent(t,e,i){return[(t[2]-t[0])/i,(t[3]-t[1])/e]}get_level_by_extent(t,e,i){const _=(t[2]-t[0])/i,s=(t[3]-t[1])/e,r=Math.max(_,s);let o=0;for(const t of this._resolutions){if(r>t){if(0==o)return 0;if(o>0)return o-1}o+=1}return o-1}get_closest_level_by_extent(t,e,i){const _=(t[2]-t[0])/i,s=(t[3]-t[1])/e,r=Math.max(_,s),o=this._resolutions.reduce((function(t,e){return Math.abs(e-r)e?(u=o-s,a*=t):(u*=e,a=n-r)}const h=(u-(o-s))/2,c=(a-(n-r))/2;return[s-h,r-c,o+h,n+c]}tms_to_wmts(t,e,i){return[t,2**i-1-e,i]}wmts_to_tms(t,e,i){return[t,2**i-1-e,i]}pixels_to_meters(t,e,i){const _=this.get_resolution(i);return[t*_-this.x_origin_offset,e*_-this.y_origin_offset]}meters_to_pixels(t,e,i){const _=this.get_resolution(i);return[(t+this.x_origin_offset)/_,(e+this.y_origin_offset)/_]}pixels_to_tile(t,e){let i=Math.ceil(t/this.tile_size);i=0===i?i:i-1;return[i,Math.max(Math.ceil(e/this.tile_size)-1,0)]}pixels_to_raster(t,e,i){return[t,(this.tile_size<=l;t--)for(let i=n;i<=u;i++)this.is_valid_tile(i,t,e)&&h.push([i,t,e,this.get_tile_meter_bounds(i,t,e)]);return this.sort_tiles_from_center(h,[n,l,u,a]),h}quadkey_to_tile_xyz(t){let e=0,i=0;const _=t.length;for(let s=_;s>0;s--){const r=1<0;s--){const i=1<0;)if(s=s.substring(0,s.length-1),[t,e,i]=this.quadkey_to_tile_xyz(s),[t,e,i]=this.denormalize_xyz(t,e,i,_),this.tiles.has(this.tile_xyz_to_key(t,e,i)))return[t,e,i];return[0,0,0]}normalize_xyz(t,e,i){if(this.wrap_around){const _=2**i;return[(t%_+_)%_,e,i]}return[t,e,i]}denormalize_xyz(t,e,i,_){return[t+_*2**i,e,i]}denormalize_meters(t,e,i,_){return[t+2*_*Math.PI*6378137,e]}calculate_world_x_by_tile_xyz(t,e,i){return Math.floor(t/2**i)}}i.MercatorTileSource=u,r=u,u.__name__=\"MercatorTileSource\",r.define((({Boolean:t})=>({snap_to_zoom:[t,!1],wrap_around:[t,!0]}))),r.override({x_origin_offset:20037508.34,y_origin_offset:20037508.34,initial_resolution:156543.03392804097})},\n function _(e,t,r,i,n){var l;i();const a=e(53),s=e(13);class c extends a.Model{constructor(e){super(e)}initialize(){super.initialize(),this.tiles=new Map,this._normalize_case()}connect_signals(){super.connect_signals(),this.connect(this.change,(()=>this._clear_cache()))}string_lookup_replace(e,t){let r=e;for(const[e,i]of(0,s.entries)(t))r=r.replace(`{${e}}`,i);return r}_normalize_case(){const e=this.url.replace(\"{x}\",\"{X}\").replace(\"{y}\",\"{Y}\").replace(\"{z}\",\"{Z}\").replace(\"{q}\",\"{Q}\").replace(\"{xmin}\",\"{XMIN}\").replace(\"{ymin}\",\"{YMIN}\").replace(\"{xmax}\",\"{XMAX}\").replace(\"{ymax}\",\"{YMAX}\");this.url=e}_clear_cache(){this.tiles=new Map}tile_xyz_to_key(e,t,r){return`${e}:${t}:${r}`}key_to_tile_xyz(e){const[t,r,i]=e.split(\":\").map((e=>parseInt(e)));return[t,r,i]}sort_tiles_from_center(e,t){const[r,i,n,l]=t,a=(n-r)/2+r,s=(l-i)/2+i;e.sort((function(e,t){return Math.sqrt((a-e[0])**2+(s-e[1])**2)-Math.sqrt((a-t[0])**2+(s-t[1])**2)}))}get_image_url(e,t,r){return this.string_lookup_replace(this.url,this.extra_url_vars).replace(\"{X}\",e.toString()).replace(\"{Y}\",t.toString()).replace(\"{Z}\",r.toString())}}r.TileSource=c,l=c,c.__name__=\"TileSource\",l.define((({Number:e,String:t,Dict:r,Nullable:i})=>({url:[t,\"\"],tile_size:[e,256],max_zoom:[e,30],min_zoom:[e,0],extra_url_vars:[r(t),{}],attribution:[t,\"\"],x_origin_offset:[e],y_origin_offset:[e],initial_resolution:[i(e),null]})))},\n function _(t,e,r,n,o){n();const c=t(78);function _(t,e){return c.wgs84_mercator.compute(t,e)}function g(t,e){return c.wgs84_mercator.invert(t,e)}r.geographic_to_meters=_,r.meters_to_geographic=g,r.geographic_extent_to_meters=function(t){const[e,r,n,o]=t,[c,g]=_(e,r),[i,u]=_(n,o);return[c,g,i,u]},r.meters_extent_to_geographic=function(t){const[e,r,n,o]=t,[c,_]=g(e,r),[i,u]=g(n,o);return[c,_,i,u]}},\n function _(e,t,r,s,_){s();const o=e(348);class c extends o.MercatorTileSource{constructor(e){super(e)}get_image_url(e,t,r){const s=this.string_lookup_replace(this.url,this.extra_url_vars),[_,o,c]=this.tms_to_wmts(e,t,r),i=this.tile_xyz_to_quadkey(_,o,c);return s.replace(\"{Q}\",i)}}r.QUADKEYTileSource=c,c.__name__=\"QUADKEYTileSource\"},\n function _(t,e,i,s,_){s();const n=t(1);var a;const o=t(349),r=t(353),h=t(41),l=t(58),d=t(43),m=t(136),c=t(9),u=t(8),p=(0,n.__importStar)(t(354));class g extends h.RendererView{initialize(){this._tiles=[],super.initialize()}connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.request_render())),this.connect(this.model.tile_source.change,(()=>this.request_render()))}remove(){null!=this.attribution_el&&(0,d.removeElement)(this.attribution_el),super.remove()}styles(){return[...super.styles(),p.default]}get_extent(){return[this.x_range.start,this.y_range.start,this.x_range.end,this.y_range.end]}get map_plot(){return this.plot_model}get map_canvas(){return this.layer.ctx}get map_frame(){return this.plot_view.frame}get x_range(){return this.map_plot.x_range}get y_range(){return this.map_plot.y_range}_set_data(){this.extent=this.get_extent(),this._last_height=void 0,this._last_width=void 0}_update_attribution(){null!=this.attribution_el&&(0,d.removeElement)(this.attribution_el);const{attribution:t}=this.model.tile_source;if((0,u.isString)(t)&&t.length>0){const{layout:e,frame:i}=this.plot_view,s=e.bbox.width-i.bbox.right,_=e.bbox.height-i.bbox.bottom,n=i.bbox.width;this.attribution_el=(0,d.div)({class:p.tile_attribution,style:{position:\"absolute\",right:`${s}px`,bottom:`${_}px`,\"max-width\":n-4+\"px\",padding:\"2px\",\"background-color\":\"rgba(255,255,255,0.5)\",\"font-size\":\"9px\",\"line-height\":\"1.05\",\"white-space\":\"nowrap\",overflow:\"hidden\",\"text-overflow\":\"ellipsis\"}}),this.plot_view.canvas_view.add_event(this.attribution_el),this.attribution_el.innerHTML=t,this.attribution_el.title=this.attribution_el.textContent.replace(/\\s*\\n\\s*/g,\" \")}}_map_data(){this.initial_extent=this.get_extent();const t=this.model.tile_source.get_level_by_extent(this.initial_extent,this.map_frame.bbox.height,this.map_frame.bbox.width),e=this.model.tile_source.snap_to_zoom_level(this.initial_extent,this.map_frame.bbox.height,this.map_frame.bbox.width,t);this.x_range.start=e[0],this.y_range.start=e[1],this.x_range.end=e[2],this.y_range.end=e[3],this.x_range instanceof l.Range1d&&(this.x_range.reset_start=e[0],this.x_range.reset_end=e[2]),this.y_range instanceof l.Range1d&&(this.y_range.reset_start=e[1],this.y_range.reset_end=e[3]),this._update_attribution()}_create_tile(t,e,i,s,_=!1){const n=this.model.tile_source.tile_xyz_to_quadkey(t,e,i),a=this.model.tile_source.tile_xyz_to_key(t,e,i);if(this.model.tile_source.tiles.has(a))return;const[o,r,h]=this.model.tile_source.normalize_xyz(t,e,i),l=this.model.tile_source.get_image_url(o,r,h),d={img:void 0,tile_coords:[t,e,i],normalized_coords:[o,r,h],quadkey:n,cache_key:a,bounds:s,loaded:!1,finished:!1,x_coord:s[0],y_coord:s[3]};this.model.tile_source.tiles.set(a,d),this._tiles.push(d),new m.ImageLoader(l,{loaded:t=>{Object.assign(d,{img:t,loaded:!0}),_?(d.finished=!0,this.notify_finished()):this.request_render()},failed(){d.finished=!0}})}_enforce_aspect_ratio(){if(this._last_height!==this.map_frame.bbox.height||this._last_width!==this.map_frame.bbox.width){const t=this.get_extent(),e=this.model.tile_source.get_level_by_extent(t,this.map_frame.bbox.height,this.map_frame.bbox.width),i=this.model.tile_source.snap_to_zoom_level(t,this.map_frame.bbox.height,this.map_frame.bbox.width,e);this.x_range.setv({start:i[0],end:i[2]}),this.y_range.setv({start:i[1],end:i[3]}),this.extent=i,this._last_height=this.map_frame.bbox.height,this._last_width=this.map_frame.bbox.width}}has_finished(){if(!super.has_finished())return!1;if(0==this._tiles.length)return!1;for(const t of this._tiles)if(!t.finished)return!1;return!0}_render(){null==this.map_initialized&&(this._set_data(),this._map_data(),this.map_initialized=!0),this._enforce_aspect_ratio(),this._update(),null!=this.prefetch_timer&&clearTimeout(this.prefetch_timer),this.prefetch_timer=setTimeout(this._prefetch_tiles.bind(this),500),this.has_finished()&&this.notify_finished()}_draw_tile(t){const e=this.model.tile_source.tiles.get(t);if(null!=e&&e.loaded){const[[t],[i]]=this.coordinates.map_to_screen([e.bounds[0]],[e.bounds[3]]),[[s],[_]]=this.coordinates.map_to_screen([e.bounds[2]],[e.bounds[1]]),n=s-t,a=_-i,o=t,r=i,h=this.map_canvas.getImageSmoothingEnabled();this.map_canvas.setImageSmoothingEnabled(this.model.smoothing),this.map_canvas.drawImage(e.img,o,r,n,a),this.map_canvas.setImageSmoothingEnabled(h),e.finished=!0}}_set_rect(){const t=this.plot_model.outline_line_width,e=this.map_frame.bbox.left+t/2,i=this.map_frame.bbox.top+t/2,s=this.map_frame.bbox.width-t,_=this.map_frame.bbox.height-t;this.map_canvas.rect(e,i,s,_),this.map_canvas.clip()}_render_tiles(t){this.map_canvas.save(),this._set_rect(),this.map_canvas.globalAlpha=this.model.alpha;for(const e of t)this._draw_tile(e);this.map_canvas.restore()}_prefetch_tiles(){const{tile_source:t}=this.model,e=this.get_extent(),i=this.map_frame.bbox.height,s=this.map_frame.bbox.width,_=this.model.tile_source.get_level_by_extent(e,i,s),n=this.model.tile_source.get_tiles_by_extent(e,_);for(let e=0,i=Math.min(10,n.length);ei&&(s=this.extent,o=i,r=!0),r&&(this.x_range.setv({start:s[0],end:s[2]}),this.y_range.setv({start:s[1],end:s[3]})),this.extent=s;const h=t.get_tiles_by_extent(s,o),l=[],d=[],m=[],u=[];for(const e of h){const[i,s,n]=e,a=t.tile_xyz_to_key(i,s,n),o=t.tiles.get(a);if(null!=o&&o.loaded)d.push(a);else if(this.model.render_parents){const[e,a,o]=t.get_closest_parent_by_tile_xyz(i,s,n),r=t.tile_xyz_to_key(e,a,o),h=t.tiles.get(r);if(null!=h&&h.loaded&&!(0,c.includes)(m,r)&&m.push(r),_){const e=t.children_by_tile_xyz(i,s,n);for(const[i,s,_]of e){const e=t.tile_xyz_to_key(i,s,_);t.tiles.has(e)&&u.push(e)}}}null==o&&l.push(e)}this._render_tiles(m),this._render_tiles(u),this._render_tiles(d),null!=this.render_timer&&clearTimeout(this.render_timer),this.render_timer=setTimeout((()=>this._fetch_tiles(l)),65)}}i.TileRendererView=g,g.__name__=\"TileRendererView\";class b extends h.Renderer{constructor(t){super(t)}}i.TileRenderer=b,a=b,b.__name__=\"TileRenderer\",a.prototype.default_view=g,a.define((({Boolean:t,Number:e,Ref:i})=>({alpha:[e,1],smoothing:[t,!0],tile_source:[i(o.TileSource),()=>new r.WMTSTileSource],render_parents:[t,!0]}))),a.override({level:\"image\"})},\n function _(t,e,r,o,s){o();const c=t(348);class i extends c.MercatorTileSource{constructor(t){super(t)}get_image_url(t,e,r){const o=this.string_lookup_replace(this.url,this.extra_url_vars),[s,c,i]=this.tms_to_wmts(t,e,r);return o.replace(\"{X}\",s.toString()).replace(\"{Y}\",c.toString()).replace(\"{Z}\",i.toString())}}r.WMTSTileSource=i,i.__name__=\"WMTSTileSource\"},\n function _(t,o,i,b,r){b(),i.root=\"bk-root\",i.tile_attribution=\"bk-tile-attribution\",i.default=\".bk-root .bk-tile-attribution a{color:black;}\"},\n function _(e,r,t,c,o){c();const i=e(348);class l extends i.MercatorTileSource{constructor(e){super(e)}get_image_url(e,r,t){return this.string_lookup_replace(this.url,this.extra_url_vars).replace(\"{X}\",e.toString()).replace(\"{Y}\",r.toString()).replace(\"{Z}\",t.toString())}}t.TMSTileSource=l,l.__name__=\"TMSTileSource\"},\n function _(e,t,u,a,r){a(),r(\"CanvasTexture\",e(357).CanvasTexture),r(\"ImageURLTexture\",e(359).ImageURLTexture),r(\"Texture\",e(358).Texture)},\n function _(t,e,n,c,s){var r;c();const o=t(358),a=t(34);class u extends o.Texture{constructor(t){super(t)}get func(){const t=(0,a.use_strict)(this.code);return new Function(\"ctx\",\"color\",\"scale\",\"weight\",t)}get_pattern(t,e,n){const c=document.createElement(\"canvas\");c.width=e,c.height=e;const s=c.getContext(\"2d\");return this.func.call(this,s,t,e,n),c}}n.CanvasTexture=u,r=u,u.__name__=\"CanvasTexture\",r.define((({String:t})=>({code:[t]})))},\n function _(e,t,n,r,o){var i;r();const s=e(53),u=e(20);class c extends s.Model{constructor(e){super(e)}}n.Texture=c,i=c,c.__name__=\"Texture\",i.define((()=>({repetition:[u.TextureRepetition,\"repeat\"]})))},\n function _(e,t,i,r,n){var a;r();const s=e(358),o=e(136);class u extends s.Texture{constructor(e){super(e)}initialize(){super.initialize(),this._loader=new o.ImageLoader(this.url)}get_pattern(e,t,i){const{_loader:r}=this;return this._loader.finished?r.image:r.promise}}i.ImageURLTexture=u,a=u,u.__name__=\"ImageURLTexture\",a.define((({String:e})=>({url:[e]})))},\n function _(o,l,T,e,t){e(),t(\"ActionTool\",o(238).ActionTool),t(\"CustomAction\",o(361).CustomAction),t(\"HelpTool\",o(239).HelpTool),t(\"RedoTool\",o(362).RedoTool),t(\"ResetTool\",o(363).ResetTool),t(\"SaveTool\",o(364).SaveTool),t(\"UndoTool\",o(365).UndoTool),t(\"ZoomInTool\",o(366).ZoomInTool),t(\"ZoomOutTool\",o(369).ZoomOutTool),t(\"ButtonTool\",o(224).ButtonTool),t(\"EditTool\",o(370).EditTool),t(\"BoxEditTool\",o(371).BoxEditTool),t(\"FreehandDrawTool\",o(372).FreehandDrawTool),t(\"PointDrawTool\",o(373).PointDrawTool),t(\"PolyDrawTool\",o(374).PolyDrawTool),t(\"PolyTool\",o(375).PolyTool),t(\"PolyEditTool\",o(376).PolyEditTool),t(\"BoxSelectTool\",o(377).BoxSelectTool),t(\"BoxZoomTool\",o(379).BoxZoomTool),t(\"GestureTool\",o(223).GestureTool),t(\"LassoSelectTool\",o(380).LassoSelectTool),t(\"LineEditTool\",o(382).LineEditTool),t(\"PanTool\",o(384).PanTool),t(\"PolySelectTool\",o(381).PolySelectTool),t(\"RangeTool\",o(385).RangeTool),t(\"SelectTool\",o(378).SelectTool),t(\"TapTool\",o(386).TapTool),t(\"WheelPanTool\",o(387).WheelPanTool),t(\"WheelZoomTool\",o(388).WheelZoomTool),t(\"CrosshairTool\",o(389).CrosshairTool),t(\"CustomJSHover\",o(390).CustomJSHover),t(\"HoverTool\",o(391).HoverTool),t(\"InspectTool\",o(232).InspectTool),t(\"Tool\",o(222).Tool),t(\"ToolProxy\",o(394).ToolProxy),t(\"Toolbar\",o(221).Toolbar),t(\"ToolbarBase\",o(233).ToolbarBase),t(\"ProxyToolbar\",o(395).ProxyToolbar),t(\"ToolbarBox\",o(395).ToolbarBox)},\n function _(t,o,e,s,n){var c;s();const i=t(238);class u extends i.ActionToolButtonView{css_classes(){return super.css_classes().concat(\"bk-toolbar-button-custom-action\")}}e.CustomActionButtonView=u,u.__name__=\"CustomActionButtonView\";class l extends i.ActionToolView{doit(){var t;null===(t=this.model.callback)||void 0===t||t.execute(this.model)}}e.CustomActionView=l,l.__name__=\"CustomActionView\";class a extends i.ActionTool{constructor(t){super(t),this.tool_name=\"Custom Action\",this.button_view=u}}e.CustomAction=a,c=a,a.__name__=\"CustomAction\",c.prototype.default_view=l,c.define((({Any:t,String:o,Nullable:e})=>({callback:[e(t)],icon:[o]}))),c.override({description:\"Perform a Custom Action\"})},\n function _(e,o,t,i,s){var n;i();const l=e(238),_=e(228);class d extends l.ActionToolView{connect_signals(){super.connect_signals(),this.connect(this.plot_view.state.changed,(()=>this.model.disabled=!this.plot_view.state.can_redo))}doit(){const e=this.plot_view.state.redo();null!=(null==e?void 0:e.range)&&this.plot_view.trigger_ranges_update_event()}}t.RedoToolView=d,d.__name__=\"RedoToolView\";class a extends l.ActionTool{constructor(e){super(e),this.tool_name=\"Redo\",this.icon=_.tool_icon_redo}}t.RedoTool=a,n=a,a.__name__=\"RedoTool\",n.prototype.default_view=d,n.override({disabled:!0}),n.register_alias(\"redo\",(()=>new a))},\n function _(e,o,t,s,i){var _;s();const n=e(238),l=e(228);class c extends n.ActionToolView{doit(){this.plot_view.reset()}}t.ResetToolView=c,c.__name__=\"ResetToolView\";class r extends n.ActionTool{constructor(e){super(e),this.tool_name=\"Reset\",this.icon=l.tool_icon_reset}}t.ResetTool=r,_=r,r.__name__=\"ResetTool\",_.prototype.default_view=c,_.register_alias(\"reset\",(()=>new r))},\n function _(e,o,t,a,i){var s;a();const c=e(238),n=e(228);class l extends c.ActionToolView{async copy(){const e=await this.plot_view.to_blob(),o=new ClipboardItem({[e.type]:Promise.resolve(e)});await navigator.clipboard.write([o])}async save(e){const o=await this.plot_view.to_blob(),t=document.createElement(\"a\");t.href=URL.createObjectURL(o),t.download=e,t.target=\"_blank\",t.dispatchEvent(new MouseEvent(\"click\"))}doit(e=\"save\"){switch(e){case\"save\":this.save(\"bokeh_plot\");break;case\"copy\":this.copy()}}}t.SaveToolView=l,l.__name__=\"SaveToolView\";class r extends c.ActionTool{constructor(e){super(e),this.tool_name=\"Save\",this.icon=n.tool_icon_save}get menu(){return[{icon:\"bk-tool-icon-copy-to-clipboard\",tooltip:\"Copy image to clipboard\",if:()=>\"undefined\"!=typeof ClipboardItem,handler:()=>{this.do.emit(\"copy\")}}]}}t.SaveTool=r,s=r,r.__name__=\"SaveTool\",s.prototype.default_view=l,s.register_alias(\"save\",(()=>new r))},\n function _(o,e,t,n,i){var s;n();const l=o(238),_=o(228);class d extends l.ActionToolView{connect_signals(){super.connect_signals(),this.connect(this.plot_view.state.changed,(()=>this.model.disabled=!this.plot_view.state.can_undo))}doit(){const o=this.plot_view.state.undo();null!=(null==o?void 0:o.range)&&this.plot_view.trigger_ranges_update_event()}}t.UndoToolView=d,d.__name__=\"UndoToolView\";class a extends l.ActionTool{constructor(o){super(o),this.tool_name=\"Undo\",this.icon=_.tool_icon_undo}}t.UndoTool=a,s=a,a.__name__=\"UndoTool\",s.prototype.default_view=d,s.override({disabled:!0}),s.register_alias(\"undo\",(()=>new a))},\n function _(o,n,e,i,s){var t;i();const _=o(367),m=o(228);class a extends _.ZoomBaseToolView{}e.ZoomInToolView=a,a.__name__=\"ZoomInToolView\";class l extends _.ZoomBaseTool{constructor(o){super(o),this.sign=1,this.tool_name=\"Zoom In\",this.icon=m.tool_icon_zoom_in}}e.ZoomInTool=l,t=l,l.__name__=\"ZoomInTool\",t.prototype.default_view=a,t.register_alias(\"zoom_in\",(()=>new l({dimensions:\"both\"}))),t.register_alias(\"xzoom_in\",(()=>new l({dimensions:\"width\"}))),t.register_alias(\"yzoom_in\",(()=>new l({dimensions:\"height\"})))},\n function _(o,t,e,i,s){var n;i();const a=o(238),_=o(20),l=o(368);class m extends a.ActionToolView{doit(){var o;const t=this.plot_view.frame,e=this.model.dimensions,i=\"width\"==e||\"both\"==e,s=\"height\"==e||\"both\"==e,n=(0,l.scale_range)(t,this.model.sign*this.model.factor,i,s);this.plot_view.state.push(\"zoom_out\",{range:n}),this.plot_view.update_range(n,{scrolling:!0,maintain_focus:this.model.maintain_focus}),null===(o=this.model.document)||void 0===o||o.interactive_start(this.plot_model),this.plot_view.trigger_ranges_update_event()}}e.ZoomBaseToolView=m,m.__name__=\"ZoomBaseToolView\";class h extends a.ActionTool{constructor(o){super(o),this.maintain_focus=!0}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}e.ZoomBaseTool=h,n=h,h.__name__=\"ZoomBaseTool\",n.define((({Percent:o})=>({factor:[o,.1],dimensions:[_.Dimensions,\"both\"]})))},\n function _(n,t,o,r,s){r();const c=n(10);function e(n,t,o){const[r,s]=[n.start,n.end],c=null!=o?o:(s+r)/2;return[r-(r-c)*t,s-(s-c)*t]}function a(n,[t,o]){const r=new Map;for(const[s,c]of n){const[n,e]=c.r_invert(t,o);r.set(s,{start:n,end:e})}return r}o.scale_highlow=e,o.get_info=a,o.scale_range=function(n,t,o=!0,r=!0,s){t=(0,c.clamp)(t,-.9,.9);const l=o?t:0,[u,i]=e(n.bbox.h_range,l,null!=s?s.x:void 0),_=a(n.x_scales,[u,i]),f=r?t:0,[g,x]=e(n.bbox.v_range,f,null!=s?s.y:void 0);return{xrs:_,yrs:a(n.y_scales,[g,x]),factor:t}}},\n function _(o,e,t,i,s){var n;i();const _=o(367),a=o(228);class m extends _.ZoomBaseToolView{}t.ZoomOutToolView=m,m.__name__=\"ZoomOutToolView\";class l extends _.ZoomBaseTool{constructor(o){super(o),this.sign=-1,this.tool_name=\"Zoom Out\",this.icon=a.tool_icon_zoom_out}}t.ZoomOutTool=l,n=l,l.__name__=\"ZoomOutTool\",n.prototype.default_view=m,n.define((({Boolean:o})=>({maintain_focus:[o,!0]}))),n.register_alias(\"zoom_out\",(()=>new l({dimensions:\"both\"}))),n.register_alias(\"xzoom_out\",(()=>new l({dimensions:\"width\"}))),n.register_alias(\"yzoom_out\",(()=>new l({dimensions:\"height\"})))},\n function _(e,t,s,o,n){var r;o();const i=e(9),c=e(8),a=e(11),_=e(175),l=e(223);class d extends l.GestureToolView{constructor(){super(...arguments),this._mouse_in_frame=!0}_select_mode(e){const{shiftKey:t,ctrlKey:s}=e;return t||s?t&&!s?\"append\":!t&&s?\"intersect\":t&&s?\"subtract\":void(0,a.unreachable)():\"replace\"}_move_enter(e){this._mouse_in_frame=!0}_move_exit(e){this._mouse_in_frame=!1}_map_drag(e,t,s){if(!this.plot_view.frame.bbox.contains(e,t))return null;const o=this.plot_view.renderer_view(s);if(null==o)return null;return[o.coordinates.x_scale.invert(e),o.coordinates.y_scale.invert(t)]}_delete_selected(e){const t=e.data_source,s=t.selected.indices;s.sort();for(const e of t.columns()){const o=t.get_array(e);for(let e=0;e({custom_icon:[n(t),null],empty_value:[e],renderers:[s(o(_.GlyphRenderer)),[]]})))},\n function _(e,t,s,i,_){var o;i();const n=e(43),a=e(20),d=e(370),l=e(228);class r extends d.EditToolView{_tap(e){null==this._draw_basepoint&&null==this._basepoint&&this._select_event(e,this._select_mode(e),this.model.renderers)}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)if(e.keyCode===n.Keys.Backspace)this._delete_selected(t);else if(e.keyCode==n.Keys.Esc){t.data_source.selection_manager.clear()}}_set_extent([e,t],[s,i],_,o=!1){const n=this.model.renderers[0],a=this.plot_view.renderer_view(n);if(null==a)return;const d=n.glyph,l=n.data_source,[r,h]=a.coordinates.x_scale.r_invert(e,t),[p,u]=a.coordinates.y_scale.r_invert(s,i),[c,m]=[(r+h)/2,(p+u)/2],[f,b]=[h-r,u-p],[y,x]=[d.x.field,d.y.field],[w,v]=[d.width.field,d.height.field];if(_)this._pop_glyphs(l,this.model.num_objects),y&&l.get_array(y).push(c),x&&l.get_array(x).push(m),w&&l.get_array(w).push(f),v&&l.get_array(v).push(b),this._pad_empty_columns(l,[y,x,w,v]);else{const e=l.data[y].length-1;y&&(l.data[y][e]=c),x&&(l.data[x][e]=m),w&&(l.data[w][e]=f),v&&(l.data[v][e]=b)}this._emit_cds_changes(l,!0,!1,o)}_update_box(e,t=!1,s=!1){if(null==this._draw_basepoint)return;const i=[e.sx,e.sy],_=this.plot_view.frame,o=this.model.dimensions,n=this.model._get_dim_limits(this._draw_basepoint,i,_,o);if(null!=n){const[e,i]=n;this._set_extent(e,i,t,s)}}_doubletap(e){this.model.active&&(null!=this._draw_basepoint?(this._update_box(e,!1,!0),this._draw_basepoint=null):(this._draw_basepoint=[e.sx,e.sy],this._select_event(e,\"append\",this.model.renderers),this._update_box(e,!0,!1)))}_move(e){this._update_box(e,!1,!1)}_pan_start(e){if(e.shiftKey){if(null!=this._draw_basepoint)return;this._draw_basepoint=[e.sx,e.sy],this._update_box(e,!0,!1)}else{if(null!=this._basepoint)return;this._select_event(e,\"append\",this.model.renderers),this._basepoint=[e.sx,e.sy]}}_pan(e,t=!1,s=!1){if(e.shiftKey){if(null==this._draw_basepoint)return;this._update_box(e,t,s)}else{if(null==this._basepoint)return;this._drag_points(e,this.model.renderers)}}_pan_end(e){if(this._pan(e,!1,!0),e.shiftKey)this._draw_basepoint=null;else{this._basepoint=null;for(const e of this.model.renderers)this._emit_cds_changes(e.data_source,!1,!0,!0)}}}s.BoxEditToolView=r,r.__name__=\"BoxEditToolView\";class h extends d.EditTool{constructor(e){super(e),this.tool_name=\"Box Edit Tool\",this.icon=l.tool_icon_box_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=1}}s.BoxEditTool=h,o=h,h.__name__=\"BoxEditTool\",o.prototype.default_view=r,o.define((({Int:e})=>({dimensions:[a.Dimensions,\"both\"],num_objects:[e,0]})))},\n function _(e,t,a,s,r){var _;s();const d=e(43),o=e(8),n=e(370),i=e(228);class l extends n.EditToolView{_draw(e,t,a=!1){if(!this.model.active)return;const s=this.model.renderers[0],r=this._map_drag(e.sx,e.sy,s);if(null==r)return;const[_,d]=r,n=s.data_source,i=s.glyph,[l,h]=[i.xs.field,i.ys.field];if(\"new\"==t)this._pop_glyphs(n,this.model.num_objects),l&&n.get_array(l).push([_]),h&&n.get_array(h).push([d]),this._pad_empty_columns(n,[l,h]);else if(\"add\"==t){if(l){const e=n.data[l].length-1;let t=n.get_array(l)[e];(0,o.isArray)(t)||(t=Array.from(t),n.data[l][e]=t),t.push(_)}if(h){const e=n.data[h].length-1;let t=n.get_array(h)[e];(0,o.isArray)(t)||(t=Array.from(t),n.data[h][e]=t),t.push(d)}}this._emit_cds_changes(n,!0,!0,a)}_pan_start(e){this._draw(e,\"new\")}_pan(e){this._draw(e,\"add\")}_pan_end(e){this._draw(e,\"add\",!0)}_tap(e){this._select_event(e,this._select_mode(e),this.model.renderers)}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)e.keyCode===d.Keys.Esc?t.data_source.selection_manager.clear():e.keyCode===d.Keys.Backspace&&this._delete_selected(t)}}a.FreehandDrawToolView=l,l.__name__=\"FreehandDrawToolView\";class h extends n.EditTool{constructor(e){super(e),this.tool_name=\"Freehand Draw Tool\",this.icon=i.tool_icon_freehand_draw,this.event_type=[\"pan\",\"tap\"],this.default_order=3}}a.FreehandDrawTool=h,_=h,h.__name__=\"FreehandDrawTool\",_.prototype.default_view=l,_.define((({Int:e})=>({num_objects:[e,0]}))),_.register_alias(\"freehand_draw\",(()=>new h))},\n function _(e,t,s,o,a){var i;o();const n=e(43),_=e(370),r=e(228);class d extends _.EditToolView{_tap(e){if(this._select_event(e,this._select_mode(e),this.model.renderers).length||!this.model.add)return;const t=this.model.renderers[0],s=this._map_drag(e.sx,e.sy,t);if(null==s)return;const o=t.glyph,a=t.data_source,[i,n]=[o.x.field,o.y.field],[_,r]=s;this._pop_glyphs(a,this.model.num_objects),i&&a.get_array(i).push(_),n&&a.get_array(n).push(r),this._pad_empty_columns(a,[i,n]),a.change.emit(),a.data=a.data,a.properties.data.change.emit()}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)e.keyCode===n.Keys.Backspace?this._delete_selected(t):e.keyCode==n.Keys.Esc&&t.data_source.selection_manager.clear()}_pan_start(e){this.model.drag&&(this._select_event(e,\"append\",this.model.renderers),this._basepoint=[e.sx,e.sy])}_pan(e){this.model.drag&&null!=this._basepoint&&this._drag_points(e,this.model.renderers)}_pan_end(e){if(this.model.drag){this._pan(e);for(const e of this.model.renderers)this._emit_cds_changes(e.data_source,!1,!0,!0);this._basepoint=null}}}s.PointDrawToolView=d,d.__name__=\"PointDrawToolView\";class l extends _.EditTool{constructor(e){super(e),this.tool_name=\"Point Draw Tool\",this.icon=r.tool_icon_point_draw,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=2}}s.PointDrawTool=l,i=l,l.__name__=\"PointDrawTool\",i.prototype.default_view=d,i.define((({Boolean:e,Int:t})=>({add:[e,!0],drag:[e,!0],num_objects:[t,0]})))},\n function _(e,t,s,i,a){var r;i();const o=e(43),n=e(8),d=e(375),_=e(228);class h extends d.PolyToolView{constructor(){super(...arguments),this._drawing=!1,this._initialized=!1}_tap(e){this._drawing?this._draw(e,\"add\",!0):this._select_event(e,this._select_mode(e),this.model.renderers)}_draw(e,t,s=!1){const i=this.model.renderers[0],a=this._map_drag(e.sx,e.sy,i);if(this._initialized||this.activate(),null==a)return;const[r,o]=this._snap_to_vertex(e,...a),d=i.data_source,_=i.glyph,[h,l]=[_.xs.field,_.ys.field];if(\"new\"==t)this._pop_glyphs(d,this.model.num_objects),h&&d.get_array(h).push([r,r]),l&&d.get_array(l).push([o,o]),this._pad_empty_columns(d,[h,l]);else if(\"edit\"==t){if(h){const e=d.data[h][d.data[h].length-1];e[e.length-1]=r}if(l){const e=d.data[l][d.data[l].length-1];e[e.length-1]=o}}else if(\"add\"==t){if(h){const e=d.data[h].length-1;let t=d.get_array(h)[e];const s=t[t.length-1];t[t.length-1]=r,(0,n.isArray)(t)||(t=Array.from(t),d.data[h][e]=t),t.push(s)}if(l){const e=d.data[l].length-1;let t=d.get_array(l)[e];const s=t[t.length-1];t[t.length-1]=o,(0,n.isArray)(t)||(t=Array.from(t),d.data[l][e]=t),t.push(s)}}this._emit_cds_changes(d,!0,!1,s)}_show_vertices(){if(!this.model.active)return;const e=[],t=[];for(let s=0;sthis._show_vertices()))}this._initialized=!0}}deactivate(){this._drawing&&(this._remove(),this._drawing=!1),this.model.vertex_renderer&&this._hide_vertices()}}s.PolyDrawToolView=h,h.__name__=\"PolyDrawToolView\";class l extends d.PolyTool{constructor(e){super(e),this.tool_name=\"Polygon Draw Tool\",this.icon=_.tool_icon_poly_draw,this.event_type=[\"pan\",\"tap\",\"move\"],this.default_order=3}}s.PolyDrawTool=l,r=l,l.__name__=\"PolyDrawTool\",r.prototype.default_view=h,r.define((({Boolean:e,Int:t})=>({drag:[e,!0],num_objects:[t,0]})))},\n function _(e,r,t,s,o){var _;s();const d=e(8),i=e(370);class l extends i.EditToolView{_set_vertices(e,r){const t=this.model.vertex_renderer.glyph,s=this.model.vertex_renderer.data_source,[o,_]=[t.x.field,t.y.field];o&&((0,d.isArray)(e)?s.data[o]=e:t.x={value:e}),_&&((0,d.isArray)(r)?s.data[_]=r:t.y={value:r}),this._emit_cds_changes(s,!0,!0,!1)}_hide_vertices(){this._set_vertices([],[])}_snap_to_vertex(e,r,t){if(this.model.vertex_renderer){const s=this._select_event(e,\"replace\",[this.model.vertex_renderer]),o=this.model.vertex_renderer.data_source,_=this.model.vertex_renderer.glyph,[d,i]=[_.x.field,_.y.field];if(s.length){const e=o.selected.indices[0];d&&(r=o.data[d][e]),i&&(t=o.data[i][e]),o.selection_manager.clear()}}return[r,t]}}t.PolyToolView=l,l.__name__=\"PolyToolView\";class n extends i.EditTool{constructor(e){super(e)}}t.PolyTool=n,_=n,n.__name__=\"PolyTool\",_.define((({AnyRef:e})=>({vertex_renderer:[e()]})))},\n function _(e,t,s,r,i){var _;r();const d=e(43),n=e(8),l=e(375),a=e(228);class c extends l.PolyToolView{constructor(){super(...arguments),this._drawing=!1,this._cur_index=null}_doubletap(e){if(!this.model.active)return;const t=this._map_drag(e.sx,e.sy,this.model.vertex_renderer);if(null==t)return;const[s,r]=t,i=this._select_event(e,\"replace\",[this.model.vertex_renderer]),_=this.model.vertex_renderer.data_source,d=this.model.vertex_renderer.glyph,[n,l]=[d.x.field,d.y.field];if(i.length&&null!=this._selected_renderer){const e=_.selected.indices[0];this._drawing?(this._drawing=!1,_.selection_manager.clear()):(_.selected.indices=[e+1],n&&_.get_array(n).splice(e+1,0,s),l&&_.get_array(l).splice(e+1,0,r),this._drawing=!0),_.change.emit(),this._emit_cds_changes(this._selected_renderer.data_source)}else this._show_vertices(e)}_show_vertices(e){if(!this.model.active)return;const t=this.model.renderers[0],s=()=>this._update_vertices(t),r=null==t?void 0:t.data_source,i=this._select_event(e,\"replace\",this.model.renderers);if(!i.length)return this._set_vertices([],[]),this._selected_renderer=null,this._drawing=!1,this._cur_index=null,void(null!=r&&r.disconnect(r.properties.data.change,s));null!=r&&r.connect(r.properties.data.change,s),this._cur_index=i[0].data_source.selected.indices[0],this._update_vertices(i[0])}_update_vertices(e){const t=e.glyph,s=e.data_source,r=this._cur_index,[i,_]=[t.xs.field,t.ys.field];if(this._drawing)return;if(null==r&&(i||_))return;let d,l;i&&null!=r?(d=s.data[i][r],(0,n.isArray)(d)||(s.data[i][r]=d=Array.from(d))):d=t.xs.value,_&&null!=r?(l=s.data[_][r],(0,n.isArray)(l)||(s.data[_][r]=l=Array.from(l))):l=t.ys.value,this._selected_renderer=e,this._set_vertices(d,l)}_move(e){if(this._drawing&&null!=this._selected_renderer){const t=this.model.vertex_renderer,s=t.data_source,r=t.glyph,i=this._map_drag(e.sx,e.sy,t);if(null==i)return;let[_,d]=i;const n=s.selected.indices;[_,d]=this._snap_to_vertex(e,_,d),s.selected.indices=n;const[l,a]=[r.x.field,r.y.field],c=n[0];l&&(s.data[l][c]=_),a&&(s.data[a][c]=d),s.change.emit(),this._selected_renderer.data_source.change.emit()}}_tap(e){const t=this.model.vertex_renderer,s=this._map_drag(e.sx,e.sy,t);if(null==s)return;if(this._drawing&&this._selected_renderer){let[r,i]=s;const _=t.data_source,d=t.glyph,[n,l]=[d.x.field,d.y.field],a=_.selected.indices;[r,i]=this._snap_to_vertex(e,r,i);const c=a[0];if(_.selected.indices=[c+1],n){const e=_.get_array(n),t=e[c];e[c]=r,e.splice(c+1,0,t)}if(l){const e=_.get_array(l),t=e[c];e[c]=i,e.splice(c+1,0,t)}return _.change.emit(),void this._emit_cds_changes(this._selected_renderer.data_source,!0,!1,!0)}const r=this._select_mode(e);this._select_event(e,r,[t]),this._select_event(e,r,this.model.renderers)}_remove_vertex(){if(!this._drawing||!this._selected_renderer)return;const e=this.model.vertex_renderer,t=e.data_source,s=e.glyph,r=t.selected.indices[0],[i,_]=[s.x.field,s.y.field];i&&t.get_array(i).splice(r,1),_&&t.get_array(_).splice(r,1),t.change.emit(),this._emit_cds_changes(this._selected_renderer.data_source)}_pan_start(e){this._select_event(e,\"append\",[this.model.vertex_renderer]),this._basepoint=[e.sx,e.sy]}_pan(e){null!=this._basepoint&&(this._drag_points(e,[this.model.vertex_renderer]),this._selected_renderer&&this._selected_renderer.data_source.change.emit())}_pan_end(e){null!=this._basepoint&&(this._drag_points(e,[this.model.vertex_renderer]),this._emit_cds_changes(this.model.vertex_renderer.data_source,!1,!0,!0),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source),this._basepoint=null)}_keyup(e){if(!this.model.active||!this._mouse_in_frame)return;let t;t=this._selected_renderer?[this.model.vertex_renderer]:this.model.renderers;for(const s of t)e.keyCode===d.Keys.Backspace?(this._delete_selected(s),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source)):e.keyCode==d.Keys.Esc&&(this._drawing?(this._remove_vertex(),this._drawing=!1):this._selected_renderer&&this._hide_vertices(),s.data_source.selection_manager.clear())}deactivate(){this._selected_renderer&&(this._drawing&&(this._remove_vertex(),this._drawing=!1),this._hide_vertices())}}s.PolyEditToolView=c,c.__name__=\"PolyEditToolView\";class o extends l.PolyTool{constructor(e){super(e),this.tool_name=\"Poly Edit Tool\",this.icon=a.tool_icon_poly_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=4}}s.PolyEditTool=o,_=o,o.__name__=\"PolyEditTool\",_.prototype.default_view=c},\n function _(e,t,o,s,i){var l;s();const n=e(378),_=e(116),c=e(20),r=e(228);class a extends n.SelectToolView{_compute_limits(e){const t=this.plot_view.frame,o=this.model.dimensions;let s=this._base_point;if(\"center\"==this.model.origin){const[t,o]=s,[i,l]=e;s=[t-(i-t),o-(l-o)]}return this.model._get_dim_limits(s,e,t,o)}_pan_start(e){const{sx:t,sy:o}=e;this._base_point=[t,o]}_pan(e){const{sx:t,sy:o}=e,s=[t,o],[i,l]=this._compute_limits(s);this.model.overlay.update({left:i[0],right:i[1],top:l[0],bottom:l[1]}),this.model.select_every_mousemove&&this._do_select(i,l,!1,this._select_mode(e))}_pan_end(e){const{sx:t,sy:o}=e,s=[t,o],[i,l]=this._compute_limits(s);this._do_select(i,l,!0,this._select_mode(e)),this.model.overlay.update({left:null,right:null,top:null,bottom:null}),this._base_point=null,this.plot_view.state.push(\"box_select\",{selection:this.plot_view.get_selection()})}_do_select([e,t],[o,s],i,l=\"replace\"){const n={type:\"rect\",sx0:e,sx1:t,sy0:o,sy1:s};this._select(n,i,l)}}o.BoxSelectToolView=a,a.__name__=\"BoxSelectToolView\";const h=()=>new _.BoxAnnotation({level:\"overlay\",top_units:\"screen\",left_units:\"screen\",bottom_units:\"screen\",right_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class m extends n.SelectTool{constructor(e){super(e),this.tool_name=\"Box Select\",this.icon=r.tool_icon_box_select,this.event_type=\"pan\",this.default_order=30}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}o.BoxSelectTool=m,l=m,m.__name__=\"BoxSelectTool\",l.prototype.default_view=a,l.define((({Boolean:e,Ref:t})=>({dimensions:[c.Dimensions,\"both\"],select_every_mousemove:[e,!1],overlay:[t(_.BoxAnnotation),h],origin:[c.BoxOrigin,\"corner\"]}))),l.register_alias(\"box_select\",(()=>new m)),l.register_alias(\"xbox_select\",(()=>new m({dimensions:\"width\"}))),l.register_alias(\"ybox_select\",(()=>new m({dimensions:\"height\"})))},\n function _(e,t,s,n,r){var o;n();const c=e(223),i=e(175),a=e(339),l=e(176),d=e(66),_=e(20),h=e(43),p=e(251),u=e(15),m=e(11);class v extends c.GestureToolView{connect_signals(){super.connect_signals(),this.model.clear.connect((()=>this._clear()))}get computed_renderers(){const{renderers:e,names:t}=this.model,s=this.plot_model.data_renderers;return(0,d.compute_renderers)(e,s,t)}_computed_renderers_by_data_source(){var e;const t=new Map;for(const s of this.computed_renderers){let n;if(s instanceof i.GlyphRenderer)n=s.data_source;else{if(!(s instanceof a.GraphRenderer))continue;n=s.node_renderer.data_source}const r=null!==(e=t.get(n))&&void 0!==e?e:[];t.set(n,[...r,s])}return t}_select_mode(e){const{shiftKey:t,ctrlKey:s}=e;return t||s?t&&!s?\"append\":!t&&s?\"intersect\":t&&s?\"subtract\":void(0,m.unreachable)():this.model.mode}_keyup(e){e.keyCode==h.Keys.Esc&&this._clear()}_clear(){for(const e of this.computed_renderers)e.get_selection_manager().clear();const e=this.computed_renderers.map((e=>this.plot_view.renderer_view(e)));this.plot_view.request_paint(e)}_select(e,t,s){const n=this._computed_renderers_by_data_source();for(const[,r]of n){const n=r[0].get_selection_manager(),o=[];for(const e of r){const t=this.plot_view.renderer_view(e);null!=t&&o.push(t)}n.select(o,e,t,s)}null!=this.model.callback&&this._emit_callback(e),this._emit_selection_event(e,t)}_emit_selection_event(e,t=!0){const{x_scale:s,y_scale:n}=this.plot_view.frame;let r;switch(e.type){case\"point\":{const{sx:t,sy:o}=e,c=s.invert(t),i=n.invert(o);r=Object.assign(Object.assign({},e),{x:c,y:i});break}case\"span\":{const{sx:t,sy:o}=e,c=s.invert(t),i=n.invert(o);r=Object.assign(Object.assign({},e),{x:c,y:i});break}case\"rect\":{const{sx0:t,sx1:o,sy0:c,sy1:i}=e,[a,l]=s.r_invert(t,o),[d,_]=n.r_invert(c,i);r=Object.assign(Object.assign({},e),{x0:a,y0:d,x1:l,y1:_});break}case\"poly\":{const{sx:t,sy:o}=e,c=s.v_invert(t),i=n.v_invert(o);r=Object.assign(Object.assign({},e),{x:c,y:i});break}}this.plot_model.trigger_event(new p.SelectionGeometry(r,t))}}s.SelectToolView=v,v.__name__=\"SelectToolView\";class b extends c.GestureTool{constructor(e){super(e)}initialize(){super.initialize(),this.clear=new u.Signal0(this,\"clear\")}get menu(){return[{icon:\"bk-tool-icon-replace-mode\",tooltip:\"Replace the current selection\",active:()=>\"replace\"==this.mode,handler:()=>{this.mode=\"replace\",this.active=!0}},{icon:\"bk-tool-icon-append-mode\",tooltip:\"Append to the current selection (Shift)\",active:()=>\"append\"==this.mode,handler:()=>{this.mode=\"append\",this.active=!0}},{icon:\"bk-tool-icon-intersect-mode\",tooltip:\"Intersect with the current selection (Ctrl)\",active:()=>\"intersect\"==this.mode,handler:()=>{this.mode=\"intersect\",this.active=!0}},{icon:\"bk-tool-icon-subtract-mode\",tooltip:\"Subtract from the current selection (Shift+Ctrl)\",active:()=>\"subtract\"==this.mode,handler:()=>{this.mode=\"subtract\",this.active=!0}},null,{icon:\"bk-tool-icon-clear-selection\",tooltip:\"Clear the current selection (Esc)\",handler:()=>{this.clear.emit()}}]}}s.SelectTool=b,o=b,b.__name__=\"SelectTool\",o.define((({String:e,Array:t,Ref:s,Or:n,Auto:r})=>({renderers:[n(t(s(l.DataRenderer)),r),\"auto\"],names:[t(e),[]],mode:[_.SelectionMode,\"replace\"]})))},\n function _(t,o,e,s,i){var n;s();const _=t(223),a=t(116),l=t(20),r=t(228);class h extends _.GestureToolView{_match_aspect(t,o,e){const s=e.bbox.aspect,i=e.bbox.h_range.end,n=e.bbox.h_range.start,_=e.bbox.v_range.end,a=e.bbox.v_range.start;let l=Math.abs(t[0]-o[0]),r=Math.abs(t[1]-o[1]);const h=0==r?0:l/r,[c]=h>=s?[1,h/s]:[s/h,1];let m,p,d,b;return t[0]<=o[0]?(m=t[0],p=t[0]+l*c,p>i&&(p=i)):(p=t[0],m=t[0]-l*c,m_&&(d=_)):(d=t[1],b=t[1]-l/s,bnew a.BoxAnnotation({level:\"overlay\",top_units:\"screen\",left_units:\"screen\",bottom_units:\"screen\",right_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class m extends _.GestureTool{constructor(t){super(t),this.tool_name=\"Box Zoom\",this.icon=r.tool_icon_box_zoom,this.event_type=\"pan\",this.default_order=20}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}e.BoxZoomTool=m,n=m,m.__name__=\"BoxZoomTool\",n.prototype.default_view=h,n.define((({Boolean:t,Ref:o})=>({dimensions:[l.Dimensions,\"both\"],overlay:[o(a.BoxAnnotation),c],match_aspect:[t,!1],origin:[l.BoxOrigin,\"corner\"]}))),n.register_alias(\"box_zoom\",(()=>new m({dimensions:\"both\"}))),n.register_alias(\"xbox_zoom\",(()=>new m({dimensions:\"width\"}))),n.register_alias(\"ybox_zoom\",(()=>new m({dimensions:\"height\"})))},\n function _(s,e,t,o,_){var l;o();const i=s(378),a=s(217),c=s(381),n=s(43),h=s(228);class r extends i.SelectToolView{constructor(){super(...arguments),this.sxs=[],this.sys=[]}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,(()=>this._active_change()))}_active_change(){this.model.active||this._clear_overlay()}_keyup(s){s.keyCode==n.Keys.Enter&&this._clear_overlay()}_pan_start(s){this.sxs=[],this.sys=[];const{sx:e,sy:t}=s;this._append_overlay(e,t)}_pan(s){const[e,t]=this.plot_view.frame.bbox.clip(s.sx,s.sy);this._append_overlay(e,t),this.model.select_every_mousemove&&this._do_select(this.sxs,this.sys,!1,this._select_mode(s))}_pan_end(s){const{sxs:e,sys:t}=this;this._clear_overlay(),this._do_select(e,t,!0,this._select_mode(s)),this.plot_view.state.push(\"lasso_select\",{selection:this.plot_view.get_selection()})}_append_overlay(s,e){const{sxs:t,sys:o}=this;t.push(s),o.push(e),this.model.overlay.update({xs:t,ys:o})}_clear_overlay(){this.sxs=[],this.sys=[],this.model.overlay.update({xs:this.sxs,ys:this.sys})}_do_select(s,e,t,o){const _={type:\"poly\",sx:s,sy:e};this._select(_,t,o)}}t.LassoSelectToolView=r,r.__name__=\"LassoSelectToolView\";class y extends i.SelectTool{constructor(s){super(s),this.tool_name=\"Lasso Select\",this.icon=h.tool_icon_lasso_select,this.event_type=\"pan\",this.default_order=12}}t.LassoSelectTool=y,l=y,y.__name__=\"LassoSelectTool\",l.prototype.default_view=r,l.define((({Boolean:s,Ref:e})=>({select_every_mousemove:[s,!0],overlay:[e(a.PolyAnnotation),c.DEFAULT_POLY_OVERLAY]}))),l.register_alias(\"lasso_select\",(()=>new y))},\n function _(e,t,s,l,o){var i;l();const a=e(378),_=e(217),c=e(43),n=e(9),h=e(228);class y extends a.SelectToolView{initialize(){super.initialize(),this.data={sx:[],sy:[]}}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,(()=>this._active_change()))}_active_change(){this.model.active||this._clear_data()}_keyup(e){e.keyCode==c.Keys.Enter&&this._clear_data()}_doubletap(e){this._do_select(this.data.sx,this.data.sy,!0,this._select_mode(e)),this.plot_view.state.push(\"poly_select\",{selection:this.plot_view.get_selection()}),this._clear_data()}_clear_data(){this.data={sx:[],sy:[]},this.model.overlay.update({xs:[],ys:[]})}_tap(e){const{sx:t,sy:s}=e;this.plot_view.frame.bbox.contains(t,s)&&(this.data.sx.push(t),this.data.sy.push(s),this.model.overlay.update({xs:(0,n.copy)(this.data.sx),ys:(0,n.copy)(this.data.sy)}))}_do_select(e,t,s,l){const o={type:\"poly\",sx:e,sy:t};this._select(o,s,l)}}s.PolySelectToolView=y,y.__name__=\"PolySelectToolView\";s.DEFAULT_POLY_OVERLAY=()=>new _.PolyAnnotation({level:\"overlay\",xs_units:\"screen\",ys_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class d extends a.SelectTool{constructor(e){super(e),this.tool_name=\"Poly Select\",this.icon=h.tool_icon_polygon_select,this.event_type=\"tap\",this.default_order=11}}s.PolySelectTool=d,i=d,d.__name__=\"PolySelectTool\",i.prototype.default_view=y,i.define((({Ref:e})=>({overlay:[e(_.PolyAnnotation),s.DEFAULT_POLY_OVERLAY]}))),i.register_alias(\"poly_select\",(()=>new d))},\n function _(e,t,s,i,r){var n;i();const _=e(20),d=e(383),o=e(228);class l extends d.LineToolView{constructor(){super(...arguments),this._drawing=!1}_doubletap(e){if(!this.model.active)return;const t=this.model.renderers;for(const s of t){1==this._select_event(e,\"replace\",[s]).length&&(this._selected_renderer=s)}this._show_intersections(),this._update_line_cds()}_show_intersections(){if(!this.model.active)return;if(null==this._selected_renderer)return;if(!this.model.renderers.length)return this._set_intersection([],[]),this._selected_renderer=null,void(this._drawing=!1);const e=this._selected_renderer.data_source,t=this._selected_renderer.glyph,[s,i]=[t.x.field,t.y.field],r=e.get_array(s),n=e.get_array(i);this._set_intersection(r,n)}_tap(e){const t=this.model.intersection_renderer;if(null==this._map_drag(e.sx,e.sy,t))return;if(this._drawing&&this._selected_renderer){const s=this._select_mode(e);if(0==this._select_event(e,s,[t]).length)return}const s=this._select_mode(e);this._select_event(e,s,[t]),this._select_event(e,s,this.model.renderers)}_update_line_cds(){if(null==this._selected_renderer)return;const e=this.model.intersection_renderer.glyph,t=this.model.intersection_renderer.data_source,[s,i]=[e.x.field,e.y.field];if(s&&i){const e=t.data[s],r=t.data[i];this._selected_renderer.data_source.data[s]=e,this._selected_renderer.data_source.data[i]=r}this._emit_cds_changes(this._selected_renderer.data_source,!0,!0,!1)}_pan_start(e){this._select_event(e,\"append\",[this.model.intersection_renderer]),this._basepoint=[e.sx,e.sy]}_pan(e){null!=this._basepoint&&(this._drag_points(e,[this.model.intersection_renderer],this.model.dimensions),this._selected_renderer&&this._selected_renderer.data_source.change.emit())}_pan_end(e){null!=this._basepoint&&(this._drag_points(e,[this.model.intersection_renderer]),this._emit_cds_changes(this.model.intersection_renderer.data_source,!1,!0,!0),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source),this._basepoint=null)}activate(){this._drawing=!0}deactivate(){this._selected_renderer&&(this._drawing&&(this._drawing=!1),this._hide_intersections())}}s.LineEditToolView=l,l.__name__=\"LineEditToolView\";class h extends d.LineTool{constructor(e){super(e),this.tool_name=\"Line Edit Tool\",this.icon=o.tool_icon_line_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=4}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}s.LineEditTool=h,n=h,h.__name__=\"LineEditTool\",n.prototype.default_view=l,n.define((()=>({dimensions:[_.Dimensions,\"both\"]})))},\n function _(e,i,n,t,s){var o;t();const r=e(8),_=e(370);class d extends _.EditToolView{_set_intersection(e,i){const n=this.model.intersection_renderer.glyph,t=this.model.intersection_renderer.data_source,[s,o]=[n.x.field,n.y.field];s&&((0,r.isArray)(e)?t.data[s]=e:n.x={value:e}),o&&((0,r.isArray)(i)?t.data[o]=i:n.y={value:i}),this._emit_cds_changes(t,!0,!0,!1)}_hide_intersections(){this._set_intersection([],[])}}n.LineToolView=d,d.__name__=\"LineToolView\";class a extends _.EditTool{constructor(e){super(e)}}n.LineTool=a,o=a,a.__name__=\"LineTool\",o.define((({AnyRef:e})=>({intersection_renderer:[e()]})))},\n function _(t,s,n,e,i){e();const o=t(1);var a;const _=t(223),l=t(20),r=(0,o.__importStar)(t(228));function h(t,s,n){const e=new Map;for(const[i,o]of t){const[t,a]=o.r_invert(s,n);e.set(i,{start:t,end:a})}return e}n.update_ranges=h;class d extends _.GestureToolView{_pan_start(t){var s;this.last_dx=0,this.last_dy=0;const{sx:n,sy:e}=t,i=this.plot_view.frame.bbox;if(!i.contains(n,e)){const t=i.h_range,s=i.v_range;(nt.end)&&(this.v_axis_only=!0),(es.end)&&(this.h_axis_only=!0)}null===(s=this.model.document)||void 0===s||s.interactive_start(this.plot_model)}_pan(t){var s;this._update(t.deltaX,t.deltaY),null===(s=this.model.document)||void 0===s||s.interactive_start(this.plot_model)}_pan_end(t){this.h_axis_only=!1,this.v_axis_only=!1,null!=this.pan_info&&this.plot_view.state.push(\"pan\",{range:this.pan_info}),this.plot_view.trigger_ranges_update_event()}_update(t,s){const n=this.plot_view.frame,e=t-this.last_dx,i=s-this.last_dy,o=n.bbox.h_range,a=o.start-e,_=o.end-e,l=n.bbox.v_range,r=l.start-i,d=l.end-i,p=this.model.dimensions;let c,u,m,v,x,g;\"width\"!=p&&\"both\"!=p||this.v_axis_only?(c=o.start,u=o.end,m=0):(c=a,u=_,m=-e),\"height\"!=p&&\"both\"!=p||this.h_axis_only?(v=l.start,x=l.end,g=0):(v=r,x=d,g=-i),this.last_dx=t,this.last_dy=s;const{x_scales:w,y_scales:y}=n,f=h(w,c,u),b=h(y,v,x);this.pan_info={xrs:f,yrs:b,sdx:m,sdy:g},this.plot_view.update_range(this.pan_info,{panning:!0})}}n.PanToolView=d,d.__name__=\"PanToolView\";class p extends _.GestureTool{constructor(t){super(t),this.tool_name=\"Pan\",this.event_type=\"pan\",this.default_order=10}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}n.PanTool=p,a=p,p.__name__=\"PanTool\",a.prototype.default_view=d,a.define((()=>({dimensions:[l.Dimensions,\"both\",{on_update(t,s){switch(t){case\"both\":s.icon=r.tool_icon_pan;break;case\"width\":s.icon=r.tool_icon_xpan;break;case\"height\":s.icon=r.tool_icon_ypan}}}]}))),a.register_alias(\"pan\",(()=>new p({dimensions:\"both\"}))),a.register_alias(\"xpan\",(()=>new p({dimensions:\"width\"}))),a.register_alias(\"ypan\",(()=>new p({dimensions:\"height\"})))},\n function _(e,t,i,s,n){var l;s();const a=e(116),r=e(58),o=e(19),_=e(223),h=e(228);function d(e){switch(e){case 1:return 2;case 2:return 1;case 4:return 5;case 5:return 4;default:return e}}function u(e,t,i,s){if(null==t)return!1;const n=i.compute(t);return Math.abs(e-n)n.right)&&(l=!1)}if(null!=n.bottom&&null!=n.top){const e=s.invert(t);(en.top)&&(l=!1)}return l}function g(e,t,i){let s=0;return e>=i.start&&e<=i.end&&(s+=1),t>=i.start&&t<=i.end&&(s+=1),s}function y(e,t,i,s){const n=t.compute(e),l=t.invert(n+i);return l>=s.start&&l<=s.end?l:e}function f(e,t,i){return e>t.start?(t.end=e,i):(t.end=t.start,t.start=e,d(i))}function v(e,t,i){return e=o&&(e.start=a,e.end=r)}i.flip_side=d,i.is_near=u,i.is_inside=c,i.sides_inside=g,i.compute_value=y,i.update_range_end_side=f,i.update_range_start_side=v,i.update_range=m;class p extends _.GestureToolView{initialize(){super.initialize(),this.side=0,this.model.update_overlay_from_ranges()}connect_signals(){super.connect_signals(),null!=this.model.x_range&&this.connect(this.model.x_range.change,(()=>this.model.update_overlay_from_ranges())),null!=this.model.y_range&&this.connect(this.model.y_range.change,(()=>this.model.update_overlay_from_ranges()))}_pan_start(e){this.last_dx=0,this.last_dy=0;const t=this.model.x_range,i=this.model.y_range,{frame:s}=this.plot_view,n=s.x_scale,l=s.y_scale,r=this.model.overlay,{left:o,right:_,top:h,bottom:d}=r,g=this.model.overlay.line_width+a.EDGE_TOLERANCE;null!=t&&this.model.x_interaction&&(u(e.sx,o,n,g)?this.side=1:u(e.sx,_,n,g)?this.side=2:c(e.sx,e.sy,n,l,r)&&(this.side=3)),null!=i&&this.model.y_interaction&&(0==this.side&&u(e.sy,d,l,g)&&(this.side=4),0==this.side&&u(e.sy,h,l,g)?this.side=5:c(e.sx,e.sy,n,l,this.model.overlay)&&(3==this.side?this.side=7:this.side=6))}_pan(e){const t=this.plot_view.frame,i=e.deltaX-this.last_dx,s=e.deltaY-this.last_dy,n=this.model.x_range,l=this.model.y_range,a=t.x_scale,r=t.y_scale;if(null!=n)if(3==this.side||7==this.side)m(n,a,i,t.x_range);else if(1==this.side){const e=y(n.start,a,i,t.x_range);this.side=v(e,n,this.side)}else if(2==this.side){const e=y(n.end,a,i,t.x_range);this.side=f(e,n,this.side)}if(null!=l)if(6==this.side||7==this.side)m(l,r,s,t.y_range);else if(4==this.side){const e=y(l.start,r,s,t.y_range);this.side=v(e,l,this.side)}else if(5==this.side){const e=y(l.end,r,s,t.y_range);this.side=f(e,l,this.side)}this.last_dx=e.deltaX,this.last_dy=e.deltaY}_pan_end(e){this.side=0,this.plot_view.trigger_ranges_update_event()}}i.RangeToolView=p,p.__name__=\"RangeToolView\";const x=()=>new a.BoxAnnotation({level:\"overlay\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:.5,line_dash:[2,2]});class w extends _.GestureTool{constructor(e){super(e),this.tool_name=\"Range Tool\",this.icon=h.tool_icon_range,this.event_type=\"pan\",this.default_order=1}initialize(){super.initialize(),this.overlay.in_cursor=\"grab\",this.overlay.ew_cursor=null!=this.x_range&&this.x_interaction?\"ew-resize\":null,this.overlay.ns_cursor=null!=this.y_range&&this.y_interaction?\"ns-resize\":null}update_overlay_from_ranges(){null==this.x_range&&null==this.y_range&&(this.overlay.left=null,this.overlay.right=null,this.overlay.bottom=null,this.overlay.top=null,o.logger.warn(\"RangeTool not configured with any Ranges.\")),null==this.x_range?(this.overlay.left=null,this.overlay.right=null):(this.overlay.left=this.x_range.start,this.overlay.right=this.x_range.end),null==this.y_range?(this.overlay.bottom=null,this.overlay.top=null):(this.overlay.bottom=this.y_range.start,this.overlay.top=this.y_range.end)}}i.RangeTool=w,l=w,w.__name__=\"RangeTool\",l.prototype.default_view=p,l.define((({Boolean:e,Ref:t,Nullable:i})=>({x_range:[i(t(r.Range1d)),null],x_interaction:[e,!0],y_range:[i(t(r.Range1d)),null],y_interaction:[e,!0],overlay:[t(a.BoxAnnotation),x]})))},\n function _(e,t,s,o,i){var l;o();const a=e(378),n=e(20),c=e(228);class _ extends a.SelectToolView{_tap(e){\"tap\"==this.model.gesture&&this._handle_tap(e)}_doubletap(e){\"doubletap\"==this.model.gesture&&this._handle_tap(e)}_handle_tap(e){const{sx:t,sy:s}=e,o={type:\"point\",sx:t,sy:s};this._select(o,!0,this._select_mode(e))}_select(e,t,s){const{callback:o}=this.model;if(\"select\"==this.model.behavior){const i=this._computed_renderers_by_data_source();for(const[,l]of i){const i=l[0].get_selection_manager(),a=l.map((e=>this.plot_view.renderer_view(e))).filter((e=>null!=e));if(i.select(a,e,t,s)&&null!=o){const t=a[0].coordinates.x_scale.invert(e.sx),s=a[0].coordinates.y_scale.invert(e.sy),l={geometries:Object.assign(Object.assign({},e),{x:t,y:s}),source:i.source};o.execute(this.model,l)}}this._emit_selection_event(e),this.plot_view.state.push(\"tap\",{selection:this.plot_view.get_selection()})}else for(const t of this.computed_renderers){const s=this.plot_view.renderer_view(t);if(null==s)continue;const i=t.get_selection_manager();if(i.inspect(s,e)&&null!=o){const t=s.coordinates.x_scale.invert(e.sx),l=s.coordinates.y_scale.invert(e.sy),a={geometries:Object.assign(Object.assign({},e),{x:t,y:l}),source:i.source};o.execute(this.model,a)}}}}s.TapToolView=_,_.__name__=\"TapToolView\";class r extends a.SelectTool{constructor(e){super(e),this.tool_name=\"Tap\",this.icon=c.tool_icon_tap_select,this.event_type=\"tap\",this.default_order=10}}s.TapTool=r,l=r,r.__name__=\"TapTool\",l.prototype.default_view=_,l.define((({Any:e,Enum:t,Nullable:s})=>({behavior:[n.TapBehavior,\"select\"],gesture:[t(\"tap\",\"doubletap\"),\"tap\"],callback:[s(e)]}))),l.register_alias(\"click\",(()=>new r({behavior:\"inspect\"}))),l.register_alias(\"tap\",(()=>new r)),l.register_alias(\"doubletap\",(()=>new r({gesture:\"doubletap\"})))},\n function _(e,t,s,n,i){var a;n();const o=e(223),l=e(20),_=e(228),r=e(384);class h extends o.GestureToolView{_scroll(e){let t=this.model.speed*e.delta;t>.9?t=.9:t<-.9&&(t=-.9),this._update_ranges(t)}_update_ranges(e){var t;const{frame:s}=this.plot_view,n=s.bbox.h_range,i=s.bbox.v_range,[a,o]=[n.start,n.end],[l,_]=[i.start,i.end];let h,d,p,c;switch(this.model.dimension){case\"height\":{const t=Math.abs(_-l);h=a,d=o,p=l-t*e,c=_-t*e;break}case\"width\":{const t=Math.abs(o-a);h=a-t*e,d=o-t*e,p=l,c=_;break}}const{x_scales:g,y_scales:u}=s,w={xrs:(0,r.update_ranges)(g,h,d),yrs:(0,r.update_ranges)(u,p,c),factor:e};this.plot_view.state.push(\"wheel_pan\",{range:w}),this.plot_view.update_range(w,{scrolling:!0}),null===(t=this.model.document)||void 0===t||t.interactive_start(this.plot_model,(()=>this.plot_view.trigger_ranges_update_event()))}}s.WheelPanToolView=h,h.__name__=\"WheelPanToolView\";class d extends o.GestureTool{constructor(e){super(e),this.tool_name=\"Wheel Pan\",this.icon=_.tool_icon_wheel_pan,this.event_type=\"scroll\",this.default_order=12}get tooltip(){return this._get_dim_tooltip(this.dimension)}}s.WheelPanTool=d,a=d,d.__name__=\"WheelPanTool\",a.prototype.default_view=h,a.define((()=>({dimension:[l.Dimension,\"width\"]}))),a.internal((({Number:e})=>({speed:[e,.001]}))),a.register_alias(\"xwheel_pan\",(()=>new d({dimension:\"width\"}))),a.register_alias(\"ywheel_pan\",(()=>new d({dimension:\"height\"})))},\n function _(e,o,t,s,i){var n;s();const l=e(223),_=e(368),h=e(20),a=e(27),r=e(228);class m extends l.GestureToolView{_pinch(e){const{sx:o,sy:t,scale:s,ctrlKey:i,shiftKey:n}=e;let l;l=s>=1?20*(s-1):-20/s,this._scroll({type:\"wheel\",sx:o,sy:t,delta:l,ctrlKey:i,shiftKey:n})}_scroll(e){var o;const{frame:t}=this.plot_view,s=t.bbox.h_range,i=t.bbox.v_range,{sx:n,sy:l}=e,h=this.model.dimensions,a=(\"width\"==h||\"both\"==h)&&s.startthis.plot_view.trigger_ranges_update_event()))}}t.WheelZoomToolView=m,m.__name__=\"WheelZoomToolView\";class d extends l.GestureTool{constructor(e){super(e),this.tool_name=\"Wheel Zoom\",this.icon=r.tool_icon_wheel_zoom,this.event_type=a.is_mobile?\"pinch\":\"scroll\",this.default_order=10}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}t.WheelZoomTool=d,n=d,d.__name__=\"WheelZoomTool\",n.prototype.default_view=m,n.define((({Boolean:e,Number:o})=>({dimensions:[h.Dimensions,\"both\"],maintain_focus:[e,!0],zoom_on_axis:[e,!0],speed:[o,1/600]}))),n.register_alias(\"wheel_zoom\",(()=>new d({dimensions:\"both\"}))),n.register_alias(\"xwheel_zoom\",(()=>new d({dimensions:\"width\"}))),n.register_alias(\"ywheel_zoom\",(()=>new d({dimensions:\"height\"})))},\n function _(i,e,s,t,o){var n;t();const l=i(232),a=i(219),h=i(20),r=i(13),_=i(228);class c extends l.InspectToolView{_move(i){if(!this.model.active)return;const{sx:e,sy:s}=i;this.plot_view.frame.bbox.contains(e,s)?this._update_spans(e,s):this._update_spans(null,null)}_move_exit(i){this._update_spans(null,null)}_update_spans(i,e){const s=this.model.dimensions;\"width\"!=s&&\"both\"!=s||(this.model.spans.width.location=e),\"height\"!=s&&\"both\"!=s||(this.model.spans.height.location=i)}}s.CrosshairToolView=c,c.__name__=\"CrosshairToolView\";class p extends l.InspectTool{constructor(i){super(i),this.tool_name=\"Crosshair\",this.icon=_.tool_icon_crosshair}get tooltip(){return this._get_dim_tooltip(this.dimensions)}get synthetic_renderers(){return(0,r.values)(this.spans)}}s.CrosshairTool=p,n=p,p.__name__=\"CrosshairTool\",(()=>{function i(i,e){return new a.Span({for_hover:!0,dimension:e,location_units:\"screen\",level:\"overlay\",line_color:i.line_color,line_width:i.line_width,line_alpha:i.line_alpha})}n.prototype.default_view=c,n.define((({Alpha:i,Number:e,Color:s})=>({dimensions:[h.Dimensions,\"both\"],line_color:[s,\"black\"],line_width:[e,1],line_alpha:[i,1]}))),n.internal((({Struct:e,Ref:s})=>({spans:[e({width:s(a.Span),height:s(a.Span)}),e=>({width:i(e,\"width\"),height:i(e,\"height\")})]}))),n.register_alias(\"crosshair\",(()=>new p))})()},\n function _(e,s,t,r,n){var o;r();const a=e(53),u=e(13),c=e(34);class i extends a.Model{constructor(e){super(e)}get values(){return(0,u.values)(this.args)}_make_code(e,s,t,r){return new Function(...(0,u.keys)(this.args),e,s,t,(0,c.use_strict)(r))}format(e,s,t){return this._make_code(\"value\",\"format\",\"special_vars\",this.code)(...this.values,e,s,t)}}t.CustomJSHover=i,o=i,i.__name__=\"CustomJSHover\",o.define((({Unknown:e,String:s,Dict:t})=>({args:[t(e),{}],code:[s,\"\"]})))},\n function _(e,t,n,s,i){s();const o=e(1);var r;const l=e(232),a=e(390),c=e(241),_=e(175),d=e(339),p=e(176),h=e(177),u=e(283),m=e(186),y=e(187),f=e(189),x=(0,o.__importStar)(e(185)),v=e(152),w=e(43),g=e(22),b=e(13),k=e(234),C=e(8),S=e(113),T=e(20),$=e(228),R=e(15),A=e(66),M=(0,o.__importStar)(e(242)),V=e(392);function G(e,t,n,s,i,o){const r={x:i[e],y:o[e]},l={x:i[e+1],y:o[e+1]};let a,c;if(\"span\"==t.type)\"h\"==t.direction?(a=Math.abs(r.x-n),c=Math.abs(l.x-n)):(a=Math.abs(r.y-s),c=Math.abs(l.y-s));else{const e={x:n,y:s};a=x.dist_2_pts(r,e),c=x.dist_2_pts(l,e)}return adelete this._template_el)),this.on_change([e,t,n],(async()=>await this._update_ttmodels()))}async _update_ttmodels(){const{_ttmodels:e,computed_renderers:t}=this;e.clear();const{tooltips:n}=this.model;if(null!=n)for(const t of this.computed_renderers){const s=new c.Tooltip({custom:(0,C.isString)(n)||(0,C.isFunction)(n),attachment:this.model.attachment,show_arrow:this.model.show_arrow});t instanceof _.GlyphRenderer?e.set(t,s):t instanceof d.GraphRenderer&&(e.set(t.node_renderer,s),e.set(t.edge_renderer,s))}const s=await(0,S.build_views)(this._ttviews,[...e.values()],{parent:this.plot_view});for(const e of s)e.render();const i=[...function*(){for(const e of t)e instanceof _.GlyphRenderer?yield e:e instanceof d.GraphRenderer&&(yield e.node_renderer,yield e.edge_renderer)}()],o=this._slots.get(this._update);if(null!=o){const e=new Set(i.map((e=>e.data_source)));R.Signal.disconnect_receiver(this,o,e)}for(const e of i)this.connect(e.data_source.inspect,this._update)}get computed_renderers(){const{renderers:e,names:t}=this.model,n=this.plot_model.data_renderers;return(0,A.compute_renderers)(e,n,t)}get ttmodels(){return this._ttmodels}_clear(){this._inspect(1/0,1/0);for(const[,e]of this.ttmodels)e.clear()}_move(e){if(!this.model.active)return;const{sx:t,sy:n}=e;this.plot_view.frame.bbox.contains(t,n)?this._inspect(t,n):this._clear()}_move_exit(){this._clear()}_inspect(e,t){let n;if(\"mouse\"==this.model.mode)n={type:\"point\",sx:e,sy:t};else{n={type:\"span\",direction:\"vline\"==this.model.mode?\"h\":\"v\",sx:e,sy:t}}for(const e of this.computed_renderers){const t=e.get_selection_manager(),s=this.plot_view.renderer_view(e);null!=s&&t.inspect(s,n)}this._emit_callback(n)}_update([e,{geometry:t}]){var n,s;if(!this.model.active)return;if(\"point\"!=t.type&&\"span\"!=t.type)return;if(!(e instanceof _.GlyphRenderer))return;if(\"ignore\"==this.model.muted_policy&&e.muted)return;const i=this.ttmodels.get(e);if(null==i)return;const o=e.get_selection_manager(),r=o.inspectors.get(e),l=e.view.convert_selection_to_subset(r);if(r.is_empty()&&null==r.view)return void i.clear();const a=o.source,c=this.plot_view.renderer_view(e);if(null==c)return;const{sx:d,sy:p}=t,x=c.coordinates.x_scale,v=c.coordinates.y_scale,g=x.invert(d),k=v.invert(p),{glyph:C}=c,S=[];if(C instanceof m.PatchView){const[t,n]=[d,p],s={x:g,y:k,sx:d,sy:p,rx:t,ry:n,name:e.name};S.push([t,n,this._render_tooltips(a,-1,s)])}if(C instanceof y.HAreaView)for(const t of l.line_indices){const n=C._x1,s=C._x2,i=C._y,[o,r]=[d,p],c={index:t,x:g,y:k,sx:d,sy:p,data_x1:n,data_x2:s,data_y:i,rx:o,ry:r,indices:l.line_indices,name:e.name};S.push([o,r,this._render_tooltips(a,t,c)])}if(C instanceof f.VAreaView)for(const t of l.line_indices){const n=C._x,s=C._y1,i=C._y2,[o,r]=[d,p],c={index:t,x:g,y:k,sx:d,sy:p,data_x:n,data_y1:s,data_y2:i,rx:o,ry:r,indices:l.line_indices,name:e.name};S.push([o,r,this._render_tooltips(a,t,c)])}if(C instanceof h.LineView)for(const n of l.line_indices){let s,i,o=C._x[n+1],r=C._y[n+1],c=n;switch(this.model.line_policy){case\"interp\":[o,r]=C.get_interpolation_hit(n,t),s=x.compute(o),i=v.compute(r);break;case\"prev\":[[s,i],c]=H(C.sx,C.sy,n);break;case\"next\":[[s,i],c]=H(C.sx,C.sy,n+1);break;case\"nearest\":[[s,i],c]=G(n,t,d,p,C.sx,C.sy),o=C._x[c],r=C._y[c];break;default:[s,i]=[d,p]}const _={index:c,x:g,y:k,sx:d,sy:p,data_x:o,data_y:r,rx:s,ry:i,indices:l.line_indices,name:e.name};S.push([s,i,this._render_tooltips(a,c,_)])}for(const t of r.image_indices){const n={index:t.index,x:g,y:k,sx:d,sy:p,name:e.name},s=this._render_tooltips(a,t,n);S.push([d,p,s])}for(const i of l.indices)if(C instanceof u.MultiLineView&&!(0,b.isEmpty)(l.multiline_indices))for(const n of l.multiline_indices[i.toString()]){let s,o,r,c=C._xs.get(i)[n],h=C._ys.get(i)[n],u=n;switch(this.model.line_policy){case\"interp\":[c,h]=C.get_interpolation_hit(i,n,t),s=x.compute(c),o=v.compute(h);break;case\"prev\":[[s,o],u]=H(C.sxs.get(i),C.sys.get(i),n);break;case\"next\":[[s,o],u]=H(C.sxs.get(i),C.sys.get(i),n+1);break;case\"nearest\":[[s,o],u]=G(n,t,d,p,C.sxs.get(i),C.sys.get(i)),c=C._xs.get(i)[u],h=C._ys.get(i)[u];break;default:throw new Error(\"shouldn't have happened\")}r=e instanceof _.GlyphRenderer?e.view.convert_indices_from_subset([i])[0]:i;const m={index:r,x:g,y:k,sx:d,sy:p,data_x:c,data_y:h,segment_index:u,indices:l.multiline_indices,name:e.name};S.push([s,o,this._render_tooltips(a,r,m)])}else{const t=null===(n=C._x)||void 0===n?void 0:n[i],o=null===(s=C._y)||void 0===s?void 0:s[i];let r,c,h;if(\"snap_to_data\"==this.model.point_policy){let e=C.get_anchor_point(this.model.anchor,i,[d,p]);if(null==e&&(e=C.get_anchor_point(\"center\",i,[d,p]),null==e))continue;r=e.x,c=e.y}else[r,c]=[d,p];h=e instanceof _.GlyphRenderer?e.view.convert_indices_from_subset([i])[0]:i;const u={index:h,x:g,y:k,sx:d,sy:p,data_x:t,data_y:o,indices:l.indices,name:e.name};S.push([r,c,this._render_tooltips(a,h,u)])}if(0==S.length)i.clear();else{const{content:e}=i;(0,w.empty)(i.content);for(const[,,t]of S)null!=t&&e.appendChild(t);const[t,n]=S[S.length-1];i.setv({position:[t,n]},{check_eq:!1})}}_emit_callback(e){const{callback:t}=this.model;if(null!=t)for(const n of this.computed_renderers){if(!(n instanceof _.GlyphRenderer))continue;const s=this.plot_view.renderer_view(n);if(null==s)continue;const{x_scale:i,y_scale:o}=s.coordinates,r=i.invert(e.sx),l=o.invert(e.sy),a=n.data_source.inspected;t.execute(this.model,{geometry:Object.assign({x:r,y:l},e),renderer:n,index:a})}}_create_template(e){const t=(0,w.div)({style:{display:\"table\",borderSpacing:\"2px\"}});for(const[n]of e){const e=(0,w.div)({style:{display:\"table-row\"}});t.appendChild(e);const s=(0,w.div)({style:{display:\"table-cell\"},class:M.tooltip_row_label},0!=n.length?`${n}: `:\"\");e.appendChild(s);const i=(0,w.span)();i.dataset.value=\"\";const o=(0,w.span)({class:M.tooltip_color_block},\" \");o.dataset.swatch=\"\",(0,w.undisplay)(o);const r=(0,w.div)({style:{display:\"table-cell\"},class:M.tooltip_row_value},i,o);e.appendChild(r)}return t}_render_template(e,t,n,s,i){const o=e.cloneNode(!0),r=o.querySelectorAll(\"[data-value]\"),l=o.querySelectorAll(\"[data-swatch]\"),a=/\\$color(\\[.*\\])?:(\\w*)/,c=/\\$swatch:(\\w*)/;for(const[[,e],o]of(0,k.enumerate)(t)){const t=e.match(c),_=e.match(a);if(null!=t||null!=_){if(null!=t){const[,e]=t,i=n.get_column(e);if(null==i)r[o].textContent=`${e} unknown`;else{const e=(0,C.isNumber)(s)?i[s]:null;null!=e&&(l[o].style.backgroundColor=(0,g.color2css)(e),(0,w.display)(l[o]))}}if(null!=_){const[,e=\"\",t]=_,i=n.get_column(t);if(null==i){r[o].textContent=`${t} unknown`;continue}const a=e.indexOf(\"hex\")>=0,c=e.indexOf(\"swatch\")>=0,d=(0,C.isNumber)(s)?i[s]:null;if(null==d){r[o].textContent=\"(null)\";continue}r[o].textContent=a?(0,g.color2hex)(d):(0,g.color2css)(d),c&&(l[o].style.backgroundColor=(0,g.color2css)(d),(0,w.display)(l[o]))}}else{const t=(0,v.replace_placeholders)(e.replace(\"$~\",\"$data_\"),n,s,this.model.formatters,i);if((0,C.isString)(t))r[o].textContent=t;else for(const e of t)r[o].appendChild(e)}}return o}_render_tooltips(e,t,n){var s;const{tooltips:i}=this.model;if((0,C.isString)(i)){const s=(0,v.replace_placeholders)({html:i},e,t,this.model.formatters,n);return(0,w.div)(s)}if((0,C.isFunction)(i))return i(e,n);if(i instanceof V.Template)return this._template_view.update(e,t,n),this._template_view.el;if(null!=i){const o=null!==(s=this._template_el)&&void 0!==s?s:this._template_el=this._create_template(i);return this._render_template(o,i,e,t,n)}return null}}n.HoverToolView=z,z.__name__=\"HoverToolView\";class P extends l.InspectTool{constructor(e){super(e),this.tool_name=\"Hover\",this.icon=$.tool_icon_hover}}n.HoverTool=P,r=P,P.__name__=\"HoverTool\",r.prototype.default_view=z,r.define((({Any:e,Boolean:t,String:n,Array:s,Tuple:i,Dict:o,Or:r,Ref:l,Function:c,Auto:_,Nullable:d})=>({tooltips:[d(r(l(V.Template),n,s(i(n,n)),c())),[[\"index\",\"$index\"],[\"data (x, y)\",\"($x, $y)\"],[\"screen (x, y)\",\"($sx, $sy)\"]]],formatters:[o(r(l(a.CustomJSHover),v.FormatterType)),{}],renderers:[r(s(l(p.DataRenderer)),_),\"auto\"],names:[s(n),[]],mode:[T.HoverMode,\"mouse\"],muted_policy:[T.MutedPolicy,\"show\"],point_policy:[T.PointPolicy,\"snap_to_data\"],line_policy:[T.LinePolicy,\"nearest\"],show_arrow:[t,!0],anchor:[T.Anchor,\"center\"],attachment:[T.TooltipAttachment,\"horizontal\"],callback:[d(e)]}))),r.register_alias(\"hover\",(()=>new P))},\n function _(e,t,s,n,a){n();const l=e(1);var i,_,o,r,c,d,p,u,m,w,f,h,x;const v=e(53),y=e(309),V=e(393);a(\"Styles\",V.Styles);const g=e(43),T=e(42),b=e(226),R=e(113),D=e(8),M=e(13),S=(0,l.__importStar)(e(242)),O=e(152);class C extends b.DOMView{}s.DOMNodeView=C,C.__name__=\"DOMNodeView\";class z extends v.Model{constructor(e){super(e)}}s.DOMNode=z,z.__name__=\"DOMNode\",z.__module__=\"bokeh.models.dom\";class P extends C{render(){super.render(),this.el.textContent=this.model.content}_createElement(){return document.createTextNode(\"\")}}s.TextView=P,P.__name__=\"TextView\";class A extends z{constructor(e){super(e)}}s.Text=A,i=A,A.__name__=\"Text\",i.prototype.default_view=P,i.define((({String:e})=>({content:[e,\"\"]})));class N extends C{}s.PlaceholderView=N,N.__name__=\"PlaceholderView\",N.tag_name=\"span\";class E extends z{constructor(e){super(e)}}s.Placeholder=E,_=E,E.__name__=\"Placeholder\",_.define((({})=>({})));class G extends N{update(e,t,s){this.el.textContent=t.toString()}}s.IndexView=G,G.__name__=\"IndexView\";class I extends E{constructor(e){super(e)}}s.Index=I,o=I,I.__name__=\"Index\",o.prototype.default_view=G,o.define((({})=>({})));class k extends N{update(e,t,s){const n=(0,O._get_column_value)(this.model.field,e,t),a=null==n?\"???\":`${n}`;this.el.textContent=a}}s.ValueRefView=k,k.__name__=\"ValueRefView\";class $ extends E{constructor(e){super(e)}}s.ValueRef=$,r=$,$.__name__=\"ValueRef\",r.prototype.default_view=k,r.define((({String:e})=>({field:[e]})));class B extends k{render(){super.render(),this.value_el=(0,g.span)(),this.swatch_el=(0,g.span)({class:S.tooltip_color_block},\" \"),this.el.appendChild(this.value_el),this.el.appendChild(this.swatch_el)}update(e,t,s){const n=(0,O._get_column_value)(this.model.field,e,t),a=null==n?\"???\":`${n}`;this.el.textContent=a}}s.ColorRefView=B,B.__name__=\"ColorRefView\";class L extends ${constructor(e){super(e)}}s.ColorRef=L,c=L,L.__name__=\"ColorRef\",c.prototype.default_view=B,c.define((({Boolean:e})=>({hex:[e,!0],swatch:[e,!0]})));class j extends C{constructor(){super(...arguments),this.child_views=new Map}async lazy_initialize(){await super.lazy_initialize();const e=this.model.children.filter((e=>e instanceof v.Model));await(0,R.build_views)(this.child_views,e,{parent:this})}render(){super.render();const{style:e}=this.model;if(null!=e)if(e instanceof V.Styles)for(const t of e){const e=t.get_value();if((0,D.isString)(e)){const s=t.attr.replace(/_/g,\"-\");this.el.style.hasOwnProperty(s)&&this.el.style.setProperty(s,e)}}else for(const[t,s]of(0,M.entries)(e)){const e=t.replace(/_/g,\"-\");this.el.style.hasOwnProperty(e)&&this.el.style.setProperty(e,s)}for(const e of this.model.children)if((0,D.isString)(e)){const t=document.createTextNode(e);this.el.appendChild(t)}else{this.child_views.get(e).renderTo(this.el)}}}s.DOMElementView=j,j.__name__=\"DOMElementView\";class q extends z{constructor(e){super(e)}}s.DOMElement=q,d=q,q.__name__=\"DOMElement\",d.define((({String:e,Array:t,Dict:s,Or:n,Nullable:a,Ref:l})=>({style:[a(n(l(V.Styles),s(e))),null],children:[t(n(e,l(z),l(y.LayoutDOM))),[]]})));class F extends T.View{}s.ActionView=F,F.__name__=\"ActionView\";class H extends v.Model{constructor(e){super(e)}}s.Action=H,p=H,H.__name__=\"Action\",H.__module__=\"bokeh.models.dom\",p.define((({})=>({})));class J extends j{constructor(){super(...arguments),this.action_views=new Map}async lazy_initialize(){await super.lazy_initialize(),await(0,R.build_views)(this.action_views,this.model.actions,{parent:this})}remove(){(0,R.remove_views)(this.action_views),super.remove()}update(e,t,s={}){!function n(a){for(const l of a.child_views.values())l instanceof N?l.update(e,t,s):l instanceof j&&n(l)}(this);for(const n of this.action_views.values())n.update(e,t,s)}}s.TemplateView=J,J.__name__=\"TemplateView\",J.tag_name=\"div\";class K extends q{}s.Template=K,u=K,K.__name__=\"Template\",u.prototype.default_view=J,u.define((({Array:e,Ref:t})=>({actions:[e(t(H)),[]]})));class Q extends j{}s.SpanView=Q,Q.__name__=\"SpanView\",Q.tag_name=\"span\";class U extends q{}s.Span=U,m=U,U.__name__=\"Span\",m.prototype.default_view=Q;class W extends j{}s.DivView=W,W.__name__=\"DivView\",W.tag_name=\"div\";class X extends q{}s.Div=X,w=X,X.__name__=\"Div\",w.prototype.default_view=W;class Y extends j{}s.TableView=Y,Y.__name__=\"TableView\",Y.tag_name=\"table\";class Z extends q{}s.Table=Z,f=Z,Z.__name__=\"Table\",f.prototype.default_view=Y;class ee extends j{}s.TableRowView=ee,ee.__name__=\"TableRowView\",ee.tag_name=\"tr\";class te extends q{}s.TableRow=te,h=te,te.__name__=\"TableRow\",h.prototype.default_view=ee;const se=e(41),ne=e(234);class ae extends F{update(e,t,s){for(const[e,s]of(0,ne.enumerate)(this.model.groups))e.visible=t==s}}s.ToggleGroupView=ae,ae.__name__=\"ToggleGroupView\";class le extends H{constructor(e){super(e)}}s.ToggleGroup=le,x=le,le.__name__=\"ToggleGroup\",x.prototype.default_view=ae,x.define((({Array:e,Ref:t})=>({groups:[e(t(se.RendererGroup)),[]]})))},\n function _(l,n,u,_,e){var t;_();const o=l(53);class r extends 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function _(t,o,e,n,s){var i;n();const l=t(15),c=t(53),r=t(224),a=t(232),u=t(234);class h extends c.Model{constructor(t){super(t)}get button_view(){return this.tools[0].button_view}get event_type(){return this.tools[0].event_type}get tooltip(){return this.tools[0].tooltip}get tool_name(){return this.tools[0].tool_name}get icon(){return this.tools[0].computed_icon}get computed_icon(){return this.icon}get toggleable(){const t=this.tools[0];return t instanceof a.InspectTool&&t.toggleable}initialize(){super.initialize(),this.do=new l.Signal0(this,\"do\")}connect_signals(){super.connect_signals(),this.connect(this.do,(()=>this.doit())),this.connect(this.properties.active.change,(()=>this.set_active()));for(const t of this.tools)this.connect(t.properties.active.change,(()=>{this.active=t.active}))}doit(){for(const t of this.tools)t.do.emit()}set_active(){for(const t of this.tools)t.active=this.active}get menu(){const{menu:t}=this.tools[0];if(null==t)return null;const o=[];for(const[e,n]of(0,u.enumerate)(t))if(null==e)o.push(null);else{const t=()=>{var t,o,e;for(const s of this.tools)null===(e=null===(o=null===(t=s.menu)||void 0===t?void 0:t[n])||void 0===o?void 0:o.handler)||void 0===e||e.call(o)};o.push(Object.assign(Object.assign({},e),{handler:t}))}return o}}e.ToolProxy=h,i=h,h.__name__=\"ToolProxy\",i.define((({Boolean:t,Array:o,Ref:e})=>({tools:[o(e(r.ButtonTool)),[]],active:[t,!1],disabled:[t,!1]})))},\n function _(o,t,s,e,i){var n,r;e();const l=o(20),c=o(9),h=o(13),a=o(233),_=o(221),p=o(394),u=o(309),f=o(207);class y extends a.ToolbarBase{constructor(o){super(o)}initialize(){super.initialize(),this._merge_tools()}_merge_tools(){this._proxied_tools=[];const o={},t={},s={},e=[],i=[];for(const o of this.help)(0,c.includes)(i,o.redirect)||(e.push(o),i.push(o.redirect));this._proxied_tools.push(...e),this.help=e;for(const[o,t]of(0,h.entries)(this.gestures)){o in s||(s[o]={});for(const e of t.tools)e.type in s[o]||(s[o][e.type]=[]),s[o][e.type].push(e)}for(const t of this.inspectors)t.type in o||(o[t.type]=[]),o[t.type].push(t);for(const o of this.actions)o.type in t||(t[o.type]=[]),t[o.type].push(o);const n=(o,t=!1)=>{const s=new p.ToolProxy({tools:o,active:t});return this._proxied_tools.push(s),s};for(const o of(0,h.keys)(s)){const t=this.gestures[o];t.tools=[];for(const e of(0,h.keys)(s[o])){const i=s[o][e];if(i.length>0)if(\"multi\"==o)for(const o of i){const s=n([o]);t.tools.push(s),this.connect(s.properties.active.change,(()=>this._active_change(s)))}else{const o=n(i);t.tools.push(o),this.connect(o.properties.active.change,(()=>this._active_change(o)))}}}this.actions=[];for(const[o,s]of(0,h.entries)(t))if(\"CustomAction\"==o)for(const o of s)this.actions.push(n([o]));else s.length>0&&this.actions.push(n(s));this.inspectors=[];for(const t of(0,h.values)(o))t.length>0&&this.inspectors.push(n(t,!0));for(const[o,t]of(0,h.entries)(this.gestures))0!=t.tools.length&&(t.tools=(0,c.sort_by)(t.tools,(o=>o.default_order)),\"pinch\"!=o&&\"scroll\"!=o&&\"multi\"!=o&&(t.tools[0].active=!0))}}s.ProxyToolbar=y,n=y,y.__name__=\"ProxyToolbar\",n.define((({Array:o,Ref:t})=>({toolbars:[o(t(_.Toolbar)),[]]})));class d extends u.LayoutDOMView{initialize(){this.model.toolbar.toolbar_location=this.model.toolbar_location,super.initialize()}get child_models(){return[this.model.toolbar]}_update_layout(){this.layout=new f.ContentBox(this.child_views[0].el);const{toolbar:o}=this.model;o.horizontal?this.layout.set_sizing({width_policy:\"fit\",min_width:100,height_policy:\"fixed\"}):this.layout.set_sizing({width_policy:\"fixed\",height_policy:\"fit\",min_height:100})}after_layout(){super.after_layout();const o=this.child_views[0];o.layout.bbox=this.layout.bbox,o.render()}}s.ToolbarBoxView=d,d.__name__=\"ToolbarBoxView\";class b extends u.LayoutDOM{constructor(o){super(o)}}s.ToolbarBox=b,r=b,b.__name__=\"ToolbarBox\",r.prototype.default_view=d,r.define((({Ref:o})=>({toolbar:[o(a.ToolbarBase)],toolbar_location:[l.Location,\"right\"]})))},\n function _(e,n,r,t,o){t();const s=e(1),u=e(53),c=(0,s.__importStar)(e(21)),a=e(8),l=e(13);r.resolve_defs=function(e,n){var r,t,o,s;function i(e){return null!=e.module?`${e.module}.${e.name}`:e.name}function f(e){if((0,a.isString)(e))switch(e){case\"Any\":return c.Any;case\"Unknown\":return c.Unknown;case\"Boolean\":return c.Boolean;case\"Number\":return c.Number;case\"Int\":return c.Int;case\"String\":return c.String;case\"Null\":return c.Null}else switch(e[0]){case\"Nullable\":{const[,n]=e;return c.Nullable(f(n))}case\"Or\":{const[,...n]=e;return c.Or(...n.map(f))}case\"Tuple\":{const[,n,...r]=e;return c.Tuple(f(n),...r.map(f))}case\"Array\":{const[,n]=e;return c.Array(f(n))}case\"Struct\":{const[,...n]=e,r=n.map((([e,n])=>[e,f(n)]));return c.Struct((0,l.to_object)(r))}case\"Dict\":{const[,n]=e;return c.Dict(f(n))}case\"Map\":{const[,n,r]=e;return c.Map(f(n),f(r))}case\"Enum\":{const[,...n]=e;return c.Enum(...n)}case\"Ref\":{const[,r]=e,t=n.get(i(r));if(null!=t)return c.Ref(t);throw new Error(`${i(r)} wasn't defined before referencing it`)}case\"AnyRef\":return c.AnyRef()}}for(const c of e){const e=(()=>{if(null==c.extends)return u.Model;{const e=n.get(i(c.extends));if(null!=e)return e;throw new Error(`base model ${i(c.extends)} of ${i(c)} is not defined`)}})(),a=((s=class extends e{}).__name__=c.name,s.__module__=c.module,s);for(const e of null!==(r=c.properties)&&void 0!==r?r:[]){const n=f(null!==(t=e.kind)&&void 0!==t?t:\"Unknown\");a.define({[e.name]:[n,e.default]})}for(const e of null!==(o=c.overrides)&&void 0!==o?o:[])a.override({[e.name]:e.default});n.register(a)}}},\n function _(n,e,t,o,i){o();const d=n(5),c=n(226),s=n(113),a=n(43),l=n(398);t.index={},t.add_document_standalone=async function(n,e,o=[],i=!1){const u=new Map;async function f(i){let d;const f=n.roots().indexOf(i),r=o[f];null!=r?d=r:e.classList.contains(l.BOKEH_ROOT)?d=e:(d=(0,a.div)({class:l.BOKEH_ROOT}),e.appendChild(d));const w=await(0,s.build_view)(i,{parent:null});return w instanceof c.DOMView&&w.renderTo(d),u.set(i,w),t.index[i.id]=w,w}for(const e of n.roots())await f(e);return i&&(window.document.title=n.title()),n.on_change((n=>{n instanceof d.RootAddedEvent?f(n.model):n instanceof d.RootRemovedEvent?function(n){const e=u.get(n);null!=e&&(e.remove(),u.delete(n),delete t.index[n.id])}(n.model):i&&n instanceof d.TitleChangedEvent&&(window.document.title=n.title)})),[...u.values()]}},\n function _(o,e,n,t,r){t();const l=o(43),d=o(44);function u(o){let e=document.getElementById(o);if(null==e)throw new Error(`Error rendering Bokeh model: could not find #${o} HTML tag`);if(!document.body.contains(e))throw new Error(`Error rendering Bokeh model: element #${o} must be under `);if(\"SCRIPT\"==e.tagName){const o=(0,l.div)({class:n.BOKEH_ROOT});(0,l.replaceWith)(e,o),e=o}return e}n.BOKEH_ROOT=d.root,n._resolve_element=function(o){const{elementid:e}=o;return null!=e?u(e):document.body},n._resolve_root_elements=function(o){const e=[];if(null!=o.root_ids&&null!=o.roots)for(const n of o.root_ids)e.push(u(o.roots[n]));return e}},\n function _(n,o,t,s,e){s();const c=n(400),r=n(19),a=n(397);t._get_ws_url=function(n,o){let t,s=\"ws:\";return\"https:\"==window.location.protocol&&(s=\"wss:\"),null!=o?(t=document.createElement(\"a\"),t.href=o):t=window.location,null!=n?\"/\"==n&&(n=\"\"):n=t.pathname.replace(/\\/+$/,\"\"),`${s}//${t.host}${n}/ws`};const i={};t.add_document_from_session=async function(n,o,t,s=[],e=!1){const l=window.location.search.substr(1);let d;try{d=await function(n,o,t){const s=(0,c.parse_token)(o).session_id;n in i||(i[n]={});const e=i[n];return s in e||(e[s]=(0,c.pull_session)(n,o,t)),e[s]}(n,o,l)}catch(n){const t=(0,c.parse_token)(o).session_id;throw r.logger.error(`Failed to load Bokeh session ${t}: ${n}`),n}return(0,a.add_document_standalone)(d.document,t,s,e)}},\n function _(e,s,n,t,o){t();const r=e(19),i=e(5),c=e(401),l=e(402),_=e(403);n.DEFAULT_SERVER_WEBSOCKET_URL=\"ws://localhost:5006/ws\",n.DEFAULT_TOKEN=\"eyJzZXNzaW9uX2lkIjogImRlZmF1bHQifQ\";let h=0;function a(e){let s=e.split(\".\")[0];const n=s.length%4;return 0!=n&&(s+=\"=\".repeat(4-n)),JSON.parse(atob(s.replace(/_/g,\"/\").replace(/-/g,\"+\")))}n.parse_token=a;class d{constructor(e=n.DEFAULT_SERVER_WEBSOCKET_URL,s=n.DEFAULT_TOKEN,t=null){this.url=e,this.token=s,this.args_string=t,this._number=h++,this.socket=null,this.session=null,this.closed_permanently=!1,this._current_handler=null,this._pending_replies=new Map,this._pending_messages=[],this._receiver=new l.Receiver,this.id=a(s).session_id.split(\".\")[0],r.logger.debug(`Creating websocket ${this._number} to '${this.url}' session '${this.id}'`)}async connect(){if(this.closed_permanently)throw new Error(\"Cannot connect() a closed ClientConnection\");if(null!=this.socket)throw new Error(\"Already connected\");this._current_handler=null,this._pending_replies.clear(),this._pending_messages=[];try{let e=`${this.url}`;return null!=this.args_string&&this.args_string.length>0&&(e+=`?${this.args_string}`),this.socket=new WebSocket(e,[\"bokeh\",this.token]),new Promise(((e,s)=>{this.socket.binaryType=\"arraybuffer\",this.socket.onopen=()=>this._on_open(e,s),this.socket.onmessage=e=>this._on_message(e),this.socket.onclose=e=>this._on_close(e,s),this.socket.onerror=()=>this._on_error(s)}))}catch(e){throw r.logger.error(`websocket creation failed to url: ${this.url}`),r.logger.error(` - ${e}`),e}}close(){this.closed_permanently||(r.logger.debug(`Permanently closing websocket connection ${this._number}`),this.closed_permanently=!0,null!=this.socket&&this.socket.close(1e3,`close method called on ClientConnection ${this._number}`),this.session._connection_closed())}_schedule_reconnect(e){setTimeout((()=>{this.closed_permanently||r.logger.info(`Websocket connection ${this._number} disconnected, will not attempt to reconnect`)}),e)}send(e){if(null==this.socket)throw new Error(`not connected so cannot send ${e}`);e.send(this.socket)}async send_with_reply(e){const s=await new Promise(((s,n)=>{this._pending_replies.set(e.msgid(),{resolve:s,reject:n}),this.send(e)}));if(\"ERROR\"===s.msgtype())throw new Error(`Error reply ${s.content.text}`);return s}async _pull_doc_json(){const e=c.Message.create(\"PULL-DOC-REQ\",{}),s=await this.send_with_reply(e);if(!(\"doc\"in s.content))throw new Error(\"No 'doc' field in PULL-DOC-REPLY\");return s.content.doc}async _repull_session_doc(e,s){var n;r.logger.debug(this.session?\"Repulling session\":\"Pulling session for first time\");try{const n=await this._pull_doc_json();if(null==this.session)if(this.closed_permanently)r.logger.debug(\"Got new document after connection was already closed\"),s(new Error(\"The connection has been closed\"));else{const s=i.Document.from_json(n),t=i.Document._compute_patch_since_json(n,s);if(t.events.length>0){r.logger.debug(`Sending ${t.events.length} changes from model construction back to server`);const e=c.Message.create(\"PATCH-DOC\",{},t);this.send(e)}this.session=new _.ClientSession(this,s,this.id);for(const e of this._pending_messages)this.session.handle(e);this._pending_messages=[],r.logger.debug(\"Created a new session from new pulled doc\"),e(this.session)}else this.session.document.replace_with_json(n),r.logger.debug(\"Updated existing session with new pulled doc\")}catch(e){null===(n=console.trace)||void 0===n||n.call(console,e),r.logger.error(`Failed to repull session ${e}`),s(e instanceof Error?e:`${e}`)}}_on_open(e,s){r.logger.info(`Websocket connection ${this._number} is now 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t.def(e.shared.vao,\".currentVAO?\",e.shared.vao,\".currentVAO.count:-1\")}));return m}return null}(),h=l(br,!1);return{elements:s,primitive:m,count:p,instances:h,offset:d,vao:f,vaoActive:i,elementsActive:u,static:a}}(e,d),A=function(e,t){var r=e.static,n=e.dynamic,i={};return k.forEach((function(e){var o=E(e);function f(t,a){if(e in r){var f=t(r[e]);i[o]=an((function(){return f}))}else if(e in n){var u=n[e];i[o]=on(u,(function(e,t){return a(e,t,e.invoke(t,u))}))}}switch(e){case Nt:case It:case Vt:case er:case Mt:case ir:case Xt:case Kt:case Jt:case Gt:return f((function(r){return _.commandType(r,\"boolean\",e,t.commandStr),r}),(function(t,r,n){return _.optional((function(){t.assert(r,\"typeof \"+n+'===\"boolean\"',\"invalid flag \"+e,t.commandStr)})),n}));case Wt:return f((function(r){return _.commandParameter(r,$r,\"invalid \"+e,t.commandStr),$r[r]}),(function(t,r,n){var a=t.constants.compareFuncs;return _.optional((function(){t.assert(r,n+\" in \"+a,\"invalid \"+e+\", must be one of 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_.optional((function(){e.assert(t,e.shared.isArrayLike+\"(\"+r+\")&&\"+r+\".length===4\",\"blend.color must be a 4d array\")})),V(4,(function(e){return t.def(\"+\",r,\"[\",e,\"]\")}))}));case tr:return f((function(e){return _.commandType(e,\"number\",o,t.commandStr),0|e}),(function(e,t,r){return _.optional((function(){e.assert(t,\"typeof \"+r+'===\"number\"',\"invalid stencil.mask\")})),t.def(r,\"|0\")}));case rr:return f((function(r){_.commandType(r,\"object\",o,t.commandStr);var n=r.cmp||\"keep\",a=r.ref||0,i=\"mask\"in r?r.mask:-1;return _.commandParameter(n,$r,e+\".cmp\",t.commandStr),_.commandType(a,\"number\",e+\".ref\",t.commandStr),_.commandType(i,\"number\",e+\".mask\",t.commandStr),[$r[n],a,i]}),(function(e,t,r){var n=e.constants.compareFuncs;return _.optional((function(){function a(){e.assert(t,Array.prototype.join.call(arguments,\"\"),\"invalid stencil.func\")}a(r+\"&&typeof \",r,'===\"object\"'),a('!(\"cmp\" in ',r,\")||(\",r,\".cmp in \",n,\")\")})),[t.def('\"cmp\" in 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_.commandType(r,\"number\",o+\".factor\",t.commandStr),_.commandType(n,\"number\",o+\".units\",t.commandStr),[r,n]}),(function(t,r,n){return _.optional((function(){t.assert(r,n+\"&&typeof \"+n+'===\"object\"',\"invalid \"+e)})),[r.def(n,\".factor|0\"),r.def(n,\".units|0\")]}));case qt:return f((function(e){var r=0;return\"front\"===e?r=Hr:\"back\"===e&&(r=Nr),_.command(!!r,o,t.commandStr),r}),(function(e,t,r){return _.optional((function(){e.assert(t,r+'===\"front\"||'+r+'===\"back\"',\"invalid cull.face\")})),t.def(r,'===\"front\"?',Hr,\":\",Nr)}));case Yt:return f((function(e){return _.command(\"number\"==typeof e&&e>=a.lineWidthDims[0]&&e<=a.lineWidthDims[1],\"invalid line width, must be a positive number between \"+a.lineWidthDims[0]+\" and \"+a.lineWidthDims[1],t.commandStr),e}),(function(e,t,r){return _.optional((function(){e.assert(t,\"typeof \"+r+'===\"number\"&&'+r+\">=\"+a.lineWidthDims[0]+\"&&\"+r+\"<=\"+a.lineWidthDims[1],\"invalid line width\")})),r}));case Qt:return f((function(e){return _.commandParameter(e,Zr,o,t.commandStr),Zr[e]}),(function(e,t,r){return _.optional((function(){e.assert(t,r+'===\"cw\"||'+r+'===\"ccw\"',\"invalid frontFace, must be one of cw,ccw\")})),t.def(r+'===\"cw\"?2304:'+qr)}));case Ht:return f((function(e){return _.command(me(e)&&4===e.length,\"color.mask must be length 4 array\",t.commandStr),e.map((function(e){return!!e}))}),(function(e,t,r){return _.optional((function(){e.assert(t,e.shared.isArrayLike+\"(\"+r+\")&&\"+r+\".length===4\",\"invalid color.mask\")})),V(4,(function(e){return\"!!\"+r+\"[\"+e+\"]\"}))}));case Zt:return f((function(e){_.command(\"object\"==typeof e&&e,o,t.commandStr);var r=\"value\"in e?e.value:1,n=!!e.invert;return _.command(\"number\"==typeof r&&r>=0&&r<=1,\"sample.coverage.value must be a number between 0 and 1\",t.commandStr),[r,n]}),(function(e,t,r){return _.optional((function(){e.assert(t,r+\"&&typeof \"+r+'===\"object\"',\"invalid sample.coverage\")})),[t.def('\"value\" in 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t=x[e];t&&(A[e]=t)}O(fr),O(E(or));var T=Object.keys(A).length>0,D={framebuffer:y,draw:w,shader:S,state:A,dirty:T,scopeVAO:null,drawVAO:null,useVAO:!1,attributes:{}};if(D.profile=function(e){var t,r=e.static,n=e.dynamic;if(ur in r){var a=!!r[ur];(t=an((function(e,t){return a}))).enable=a}else if(ur in n){var i=n[ur];t=on(i,(function(e,t){return e.invoke(t,i)}))}return t}(e),D.uniforms=function(e,t){var r=e.static,n=e.dynamic,a={};return Object.keys(r).forEach((function(e){var n,i=r[e];if(\"number\"==typeof i||\"boolean\"==typeof i)n=an((function(){return i}));else if(\"function\"==typeof i){var o=i._reglType;\"texture2d\"===o||\"textureCube\"===o?n=an((function(e){return e.link(i)})):\"framebuffer\"===o||\"framebufferCube\"===o?(_.command(i.color.length>0,'missing color attachment for framebuffer sent to uniform \"'+e+'\"',t.commandStr),n=an((function(e){return e.link(i.color[0])}))):_.commandRaise('invalid data for uniform \"'+e+'\"',t.commandStr)}else me(i)?n=an((function(t){return 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a=this._map.get(e);if(null==a){const s=(0,n.gcd)(t);if(s>1){t=(0,o.map)(t,(t=>t/s)),a=this._get_or_create(t);const[r,n,_]=a;a=[r,n,s],this._map.set(e,a)}else{const[r,n]=this._create_texture(t);a=[r,n,s],this._map.set(e,a)}}return a}get(t){return t.length%2==1&&(t=(0,_.concat)([t,t])),this._get_or_create(t)}}a.DashCache=c,c.__name__=\"DashCache\"},\n 414: function _(n,t,e,r,o){function u(n,t){let e,r;n>t?(e=n,r=t):(e=t,r=n);let o=e%r;for(;0!=o;)e=r,r=o,o=e%r;return r}r(),e.gcd=function(n){let t=n[0];for(let e=1;e= 0.0 ? 1.0 : -1.0;\\n}\\n\\nvoid main()\\n{\\n if (a_show_curr < 0.5) {\\n // Line segment has non-finite value at one or both ends, do not render.\\n gl_Position = vec4(-2.0, -2.0, 0.0, 1.0);\\n return;\\n }\\n\\n const float min_miter_factor_round_join_mesh = sqrt(2.0);\\n\\n int join_type = int(u_line_join + 0.5);\\n int cap_type = int(u_line_cap + 0.5);\\n float halfwidth = 0.5*(u_linewidth + u_antialias);\\n vec2 segment_along = normalize(a_point_end - a_point_start); // unit vector.\\n v_segment_length = length(a_point_end - a_point_start);\\n vec2 segment_right = right_vector(segment_along); // unit vector.\\n vec2 xy;\\n\\n bool miter_too_large_start = false;\\n bool miter_too_large_end = false;\\n\\n v_coords.y = a_position.y*halfwidth; // Overwritten later for end points.\\n\\n bool has_start_cap = a_show_prev < 0.5;\\n bool has_end_cap = a_show_next < 0.5;\\n\\n vec2 point_normal_start;\\n float cos_theta_start;\\n float turn_right_start;\\n if (has_start_cap)\\n point_normal_start = segment_right;\\n else {\\n vec2 prev_right = right_vector(normalize(a_point_start - a_point_prev));\\n point_normal_start = normalize(segment_right + prev_right);\\n cos_theta_start = dot(segment_right, point_normal_start); // Always +ve\\n turn_right_start = sign_no_zero(dot(segment_right, a_point_prev - a_point_start));\\n }\\n\\n vec2 point_normal_end;\\n float cos_theta_end;\\n float turn_right_end;\\n if (has_end_cap)\\n point_normal_end = segment_right;\\n else {\\n vec2 next_right = right_vector(normalize(a_point_next - a_point_end));\\n point_normal_end = normalize(segment_right + next_right);\\n cos_theta_end = dot(segment_right, point_normal_end); // Always +ve\\n turn_right_end = sign_no_zero(dot(segment_right, a_point_next - a_point_end));\\n }\\n\\n float miter_factor_start = 1.0 / dot(segment_right, point_normal_start);\\n float miter_factor_end = 1.0 / dot(segment_right, point_normal_end);\\n if (join_type == miter_join) {\\n // If miter too large, use bevel join instead.\\n miter_too_large_start = (miter_factor_start > u_miter_limit);\\n miter_too_large_end = (miter_factor_end > u_miter_limit);\\n }\\n\\n float sign_at_start = -sign(a_position.x); // +ve at segment start, -ve end.\\n vec2 point = sign_at_start > 0.0 ? a_point_start : a_point_end;\\n vec2 adjacent_point =\\n sign_at_start > 0.0 ? (has_start_cap ? a_point_start : a_point_prev)\\n : (has_end_cap ? a_point_end : a_point_next);\\n\\n if ( (has_start_cap && sign_at_start > 0.0) ||\\n (has_end_cap && sign_at_start < 0.0) ) {\\n // Cap.\\n xy = point - segment_right*(halfwidth*a_position.y);\\n if (cap_type == butt_cap)\\n xy -= sign_at_start*0.5*u_antialias*segment_along;\\n else\\n xy -= sign_at_start*halfwidth*segment_along;\\n }\\n else { // Join.\\n // +ve if turning to right, -ve if to left.\\n float turn_sign = sign_at_start > 0.0 ? turn_right_start : turn_right_end;\\n\\n vec2 adjacent_right = sign_at_start*normalize(right_vector(point - adjacent_point));\\n vec2 point_right = normalize(segment_right + adjacent_right);\\n float miter_factor = sign_at_start > 0.0 ? miter_factor_start : miter_factor_end;\\n bool miter_too_large = sign_at_start > 0.0 ? miter_too_large_start : miter_too_large_end;\\n\\n if (abs(a_position.x) > 1.5) {\\n // Outer point, meets prev/next segment.\\n float factor; // multiplied by halfwidth...\\n\\n if (join_type == bevel_join || (join_type == miter_join && miter_too_large))\\n factor = 1.0 / miter_factor; // cos_theta.\\n else if (join_type == round_join &&\\n miter_factor > min_miter_factor_round_join_mesh)\\n factor = 1.0;\\n else // miter, or round (small angle only).\\n factor = miter_factor;\\n\\n xy = point - point_right*(halfwidth*turn_sign*factor);\\n v_coords.y = turn_sign*halfwidth*factor / miter_factor;\\n }\\n else if (turn_sign*a_position.y < 0.0) {\\n // Inner point, meets prev/next segment.\\n float len = halfwidth*miter_factor;\\n float segment_len = v_segment_length;\\n float adjacent_len = distance(point, adjacent_point);\\n\\n if (len <= min(segment_len, adjacent_len))\\n // Normal behaviour.\\n xy = point - point_right*(len*a_position.y);\\n else\\n // For short wide line segments the inner point using the above\\n // calculation can be outside of the line. Here clipping it.\\n xy = point + segment_right*(halfwidth*turn_sign);\\n }\\n else {\\n // Point along outside edge.\\n xy = point - segment_right*(halfwidth*a_position.y);\\n if (join_type == round_join &&\\n miter_factor > min_miter_factor_round_join_mesh) {\\n xy = line_intersection(xy, segment_along,\\n point - turn_sign*point_right*halfwidth,\\n right_vector(point_right));\\n }\\n }\\n }\\n\\n vec2 pos = xy + 0.5; // Bokeh's offset.\\n pos /= u_canvas_size / u_pixel_ratio; // in 0..1\\n gl_Position = vec4(2.0*pos.x - 1.0, 1.0 - 2.0*pos.y, 0.0, 1.0);\\n\\n v_coords.x = dot(xy - a_point_start, segment_along);\\n v_flags = float(int(has_start_cap) +\\n 2*int(has_end_cap) +\\n 4*int(miter_too_large_start) +\\n 8*int(miter_too_large_end));\\n v_cos_theta_turn_right_start = cos_theta_start*turn_right_start;\\n v_cos_theta_turn_right_end = cos_theta_end*turn_right_end;\\n\\n#ifdef DASHED\\n v_length_so_far = a_length_so_far;\\n#endif\\n}\\n\"},\n 416: function _(n,t,a,i,e){i();a.default=\"\\nprecision mediump float;\\n\\nconst int butt_cap = 0;\\nconst int round_cap = 1;\\nconst int square_cap = 2;\\n\\nconst int miter_join = 0;\\nconst int round_join = 1;\\nconst int bevel_join = 2;\\n\\nuniform float u_linewidth;\\nuniform float u_antialias;\\nuniform float u_line_join;\\nuniform float u_line_cap;\\nuniform vec4 u_line_color;\\n#ifdef DASHED\\nuniform sampler2D u_dash_tex;\\nuniform vec4 u_dash_tex_info;\\nuniform float u_dash_scale;\\nuniform float u_dash_offset;\\n#endif\\n\\nvarying float v_segment_length;\\nvarying vec2 v_coords;\\nvarying float v_flags;\\nvarying float v_cos_theta_turn_right_start;\\nvarying float v_cos_theta_turn_right_end;\\n#ifdef DASHED\\nvarying float v_length_so_far;\\n#endif\\n\\nfloat cross_z(in vec2 v0, in vec2 v1)\\n{\\n return v0.x*v1.y - v0.y*v1.x;\\n}\\n\\nfloat point_line_side(in vec2 point, in vec2 start, in vec2 end)\\n{\\n // +ve if point to right of line.\\n // Alternatively could do dot product with right_vector.\\n return cross_z(point - start, end - start);\\n}\\n\\nfloat point_line_distance(in vec2 point, in vec2 start, in vec2 end)\\n{\\n return point_line_side(point, start, end) / distance(start, end);\\n}\\n\\nvec2 right_vector(in vec2 v)\\n{\\n return vec2(v.y, -v.x);\\n}\\n\\nfloat bevel_join_distance(in float sign_start, in float halfwidth)\\n{\\n float cos_theta_turn_right = sign_start > 0.0 ? v_cos_theta_turn_right_start\\n : v_cos_theta_turn_right_end;\\n float cos_theta = abs(cos_theta_turn_right);\\n float turn_right = sign(cos_theta_turn_right);\\n float distance_along = sign_start > 0.0 ? 0.0 : v_segment_length;\\n\\n // In v_coords reference frame (x is along segment, y across).\\n vec2 line_start = vec2(distance_along, halfwidth*turn_right);\\n float sin_alpha = cos_theta;\\n float cos_alpha = sqrt(1.0 - sin_alpha*sin_alpha);\\n vec2 line_along = vec2(-sign_start*turn_right*sin_alpha, -cos_alpha);\\n\\n return halfwidth + sign_start*point_line_distance(\\n v_coords, line_start, line_start+line_along);\\n}\\n\\nfloat cap(in int cap_type, in float x, in float y)\\n{\\n // x is distance along segment in direction away from end of segment,\\n // y is distance across segment.\\n if (cap_type == butt_cap)\\n return max(0.5*u_linewidth - x, abs(y));\\n else if (cap_type == square_cap)\\n return max(-x, abs(y));\\n else // cap_type == round_cap\\n return distance(vec2(min(x, 0.0), y), vec2(0.0, 0.0));\\n}\\n\\nfloat distance_to_alpha(in float dist)\\n{\\n return 1.0 - smoothstep(0.5*(u_linewidth - u_antialias),\\n 0.5*(u_linewidth + u_antialias), dist);\\n}\\n\\n#ifdef DASHED\\nfloat dash_distance(in float x)\\n{\\n // x is in direction of v_coords.x, i.e. along segment.\\n float tex_length = u_dash_tex_info.x;\\n float tex_offset = u_dash_tex_info.y;\\n float tex_dist_min = u_dash_tex_info.z;\\n float tex_dist_max = u_dash_tex_info.w;\\n\\n // Apply offset.\\n x += v_length_so_far - u_dash_scale*tex_offset + u_dash_offset;\\n\\n // Interpolate within texture to obtain distance to dash.\\n float dist = texture2D(u_dash_tex,\\n vec2(x / (tex_length*u_dash_scale), 0.0)).a;\\n\\n // Scale distance within min and max limits.\\n dist = tex_dist_min + dist*(tex_dist_max - tex_dist_min);\\n\\n return u_dash_scale*dist;\\n}\\n\\nfloat clip_dash_distance(in float x, in float offset, in float sign_along)\\n{\\n // Return clipped dash distance, sign_along is +1.0 if looking forward\\n // into next segment and -1.0 if looking backward into previous segment.\\n float half_antialias = 0.5*u_antialias;\\n\\n if (sign_along*x > half_antialias) {\\n // Outside antialias region, use usual dash distance.\\n return dash_distance(offset + x);\\n }\\n else {\\n // Inside antialias region.\\n // Dash distance at edge of antialias region clipped to half_antialias.\\n float edge_dist = min(dash_distance(offset + sign_along*half_antialias), half_antialias);\\n\\n // Physical distance from dash distance at edge of antialias region.\\n return edge_dist + sign_along*x - half_antialias;\\n }\\n}\\n\\nmat2 rotation_matrix(in float sign_start)\\n{\\n // Rotation matrix for v_coords from this segment to prev or next segment.\\n float cos_theta_turn_right = sign_start > 0.0 ? v_cos_theta_turn_right_start\\n : v_cos_theta_turn_right_end;\\n float cos_theta = abs(cos_theta_turn_right);\\n float turn_right = sign(cos_theta_turn_right);\\n\\n float sin_theta = sqrt(1.0 - cos_theta*cos_theta)*sign_start*turn_right;\\n float cos_2theta = 2.0*cos_theta*cos_theta - 1.0;\\n float sin_2theta = 2.0*sin_theta*cos_theta;\\n return mat2(cos_2theta, -sin_2theta, sin_2theta, cos_2theta);\\n}\\n#endif\\n\\nvoid main()\\n{\\n int join_type = int(u_line_join + 0.5);\\n int cap_type = int(u_line_cap + 0.5);\\n float halfwidth = 0.5*(u_linewidth + u_antialias);\\n float half_antialias = 0.5*u_antialias;\\n\\n // Extract flags.\\n int flags = int(v_flags + 0.5);\\n bool miter_too_large_end = (flags / 8 > 0);\\n flags -= 8*int(miter_too_large_end);\\n bool miter_too_large_start = (flags / 4 > 0);\\n flags -= 4*int(miter_too_large_start);\\n bool has_end_cap = (flags / 2 > 0);\\n flags -= 2*int(has_end_cap);\\n bool has_start_cap = flags > 0;\\n\\n float dist = v_coords.y; // For straight segment, and miter join.\\n\\n // Along-segment coords with respect to end of segment, +ve inside segment\\n // so equivalent to v_coords.x at start of segment.\\n float end_coords_x = v_segment_length - v_coords.x;\\n\\n if (v_coords.x <= half_antialias) {\\n // At start of segment, either cap or join.\\n if (has_start_cap)\\n dist = cap(cap_type, v_coords.x, v_coords.y);\\n else if (join_type == round_join)\\n dist = distance(v_coords, vec2(0.0, 0.0));\\n else if (join_type == bevel_join ||\\n (join_type == miter_join && miter_too_large_start))\\n dist = max(abs(dist), bevel_join_distance(1.0, halfwidth));\\n // else a miter join which uses the default dist calculation.\\n }\\n else if (end_coords_x <= half_antialias) {\\n // At end of segment, either cap or join.\\n if (has_end_cap)\\n dist = cap(cap_type, end_coords_x, v_coords.y);\\n else if (join_type == round_join)\\n dist = distance(v_coords, vec2(v_segment_length, 0));\\n else if ((join_type == bevel_join ||\\n (join_type == miter_join && miter_too_large_end)))\\n dist = max(abs(dist), bevel_join_distance(-1.0, halfwidth));\\n // else a miter join which uses the default dist calculation.\\n }\\n\\n float alpha = distance_to_alpha(abs(dist));\\n\\n#ifdef DASHED\\n if (u_dash_tex_info.x >= 0.0) {\\n // Dashes in straight segments (outside of joins) are easily calculated.\\n dist = dash_distance(v_coords.x);\\n\\n if (!has_start_cap && cap_type == butt_cap) {\\n if (v_coords.x < half_antialias) {\\n // Outer of start join rendered solid color or not at all\\n // depending on whether corner point is in dash or gap, with\\n // antialiased ends.\\n if (dash_distance(0.0) > 0.0) {\\n // Corner is solid color.\\n dist = max(dist, min(half_antialias, -v_coords.x));\\n // Avoid visible antialiasing band between corner and dash.\\n dist = max(dist, dash_distance(half_antialias));\\n }\\n else {\\n // Use large negative value so corner not colored.\\n dist = -halfwidth;\\n\\n if (v_coords.x > -half_antialias) {\\n // Consider antialias region of dash after start region.\\n float edge_dist = min(dash_distance(half_antialias), half_antialias);\\n dist = max(dist, edge_dist + v_coords.x - half_antialias);\\n }\\n }\\n }\\n\\n vec2 prev_coords = rotation_matrix(1.0)*v_coords;\\n\\n if (abs(prev_coords.y) < halfwidth && prev_coords.x < half_antialias) {\\n // Extend dashes across from end of previous segment, with antialiased end.\\n float new_dist = clip_dash_distance(prev_coords.x, 0.0, -1.0);\\n new_dist = min(new_dist, 0.5*u_linewidth - abs(prev_coords.y));\\n dist = max(dist, new_dist);\\n }\\n }\\n\\n if (!has_end_cap && cap_type == butt_cap) {\\n if (end_coords_x < half_antialias) {\\n // Similar for end join.\\n if (dash_distance(v_segment_length) > 0.0) {\\n // Corner is solid color.\\n dist = max(dist, min(half_antialias, -end_coords_x));\\n // Avoid visible antialiasing band between corner and dash.\\n dist = max(dist, dash_distance(v_segment_length - half_antialias));\\n }\\n else {\\n // Use large negative value so corner not colored.\\n dist = -halfwidth;\\n\\n if (end_coords_x > -half_antialias) {\\n // Consider antialias region of dash before end region.\\n float edge_dist = min(dash_distance(v_segment_length - half_antialias),\\n half_antialias);\\n dist = max(dist, edge_dist + end_coords_x - half_antialias);\\n }\\n }\\n }\\n\\n vec2 next_coords = rotation_matrix(-1.0)*(v_coords - vec2(v_segment_length, 0.0));\\n\\n if (abs(next_coords.y) < halfwidth && next_coords.x > -half_antialias) {\\n // Extend dashes across from next segment, with antialiased end.\\n float new_dist = clip_dash_distance(next_coords.x, v_segment_length, 1.0);\\n new_dist = min(new_dist, 0.5*u_linewidth - abs(next_coords.y));\\n dist = max(dist, new_dist);\\n }\\n }\\n\\n dist = cap(cap_type, dist, v_coords.y);\\n\\n float dash_alpha = distance_to_alpha(dist);\\n alpha = min(alpha, dash_alpha);\\n }\\n#endif\\n\\n alpha = u_line_color.a*alpha;\\n gl_FragColor = vec4(u_line_color.rgb*alpha, alpha); // Premultiplied alpha.\\n}\\n\"},\n 417: function _(n,i,e,t,a){t();e.default=\"\\nprecision mediump float;\\n\\nattribute vec2 a_position;\\nattribute vec2 a_center;\\nattribute float a_width;\\nattribute float a_height;\\nattribute float a_angle; // In radians\\nattribute float a_linewidth;\\nattribute vec4 a_line_color;\\nattribute vec4 a_fill_color;\\nattribute float a_line_cap;\\nattribute float a_line_join;\\nattribute float a_show;\\n#ifdef HATCH\\nattribute float a_hatch_pattern;\\nattribute float a_hatch_scale;\\nattribute float a_hatch_weight;\\nattribute vec4 a_hatch_color;\\n#endif\\n\\nuniform float u_pixel_ratio;\\nuniform vec2 u_canvas_size;\\nuniform float u_antialias;\\nuniform float u_size_hint;\\n\\nvarying float v_linewidth;\\nvarying vec2 v_size; // 2D size for rects compared to 1D for markers.\\nvarying vec4 v_line_color;\\nvarying vec4 v_fill_color;\\nvarying float v_line_cap;\\nvarying float v_line_join;\\nvarying vec2 v_coords;\\n#ifdef HATCH\\nvarying float v_hatch_pattern;\\nvarying float v_hatch_scale;\\nvarying float v_hatch_weight;\\nvarying vec4 v_hatch_color;\\nvarying vec2 v_hatch_coords;\\n#endif\\n\\nvoid main()\\n{\\n if (a_show < 0.5) {\\n // Do not show this rect.\\n gl_Position = vec4(-2.0, -2.0, 0.0, 1.0);\\n return;\\n }\\n\\n v_size = vec2(a_width, a_height);\\n v_linewidth = a_linewidth;\\n v_line_color = a_line_color;\\n v_fill_color = a_fill_color;\\n v_line_cap = a_line_cap;\\n v_line_join = a_line_join;\\n\\n if (v_linewidth < 1.0) {\\n // Linewidth less than 1 is implemented as 1 but with reduced alpha.\\n v_line_color.a *= v_linewidth;\\n v_linewidth = 1.0;\\n }\\n\\n#ifdef HATCH\\n v_hatch_pattern = a_hatch_pattern;\\n v_hatch_scale = a_hatch_scale;\\n v_hatch_weight = a_hatch_weight;\\n v_hatch_color = a_hatch_color;\\n#endif\\n\\n vec2 enclosing_size;\\n // Need extra size of (v_linewidth+u_antialias) if edge of marker parallel to\\n // edge of bounding box. If symmetric spike towards edge then multiply by\\n // 1/cos(theta) where theta is angle between spike and bbox edges.\\n int size_hint = int(u_size_hint + 0.5);\\n if (size_hint == 1) // Dash\\n enclosing_size = vec2(v_size.x + v_linewidth + u_antialias,\\n v_linewidth + u_antialias);\\n else if (size_hint == 2) // Dot\\n enclosing_size = 0.25*v_size + u_antialias;\\n else if (size_hint == 3) // Diamond\\n enclosing_size = vec2(v_size.x*(2.0/3.0) + (v_linewidth + u_antialias)*1.20185,\\n v_size.y + (v_linewidth + u_antialias)*1.80278);\\n else if (size_hint == 4) // Hex\\n enclosing_size = v_size + (v_linewidth + u_antialias)*vec2(2.0/sqrt(3.0), 1.0);\\n else if (size_hint == 5) // Square pin\\n enclosing_size = v_size + (v_linewidth + u_antialias)*3.1;\\n else if (size_hint == 6) // Triangle\\n enclosing_size = vec2(v_size.x + (v_linewidth + u_antialias)*sqrt(3.0),\\n v_size.y*(2.0/sqrt(3.0)) + (v_linewidth + u_antialias)*2.0);\\n else if (size_hint == 7) // Triangle pin\\n enclosing_size = v_size + (v_linewidth + u_antialias)*vec2(4.8, 6.0);\\n else if (size_hint == 8) // Star\\n enclosing_size = vec2(v_size.x*0.95106 + (v_linewidth + u_antialias)*3.0,\\n v_size.y + (v_linewidth + u_antialias)*3.2);\\n else\\n enclosing_size = v_size + v_linewidth + u_antialias;\\n\\n // Coordinates in rotated frame with respect to center of marker, used for\\n // distance functions in fragment shader.\\n v_coords = a_position*enclosing_size;\\n\\n float c = cos(-a_angle);\\n float s = sin(-a_angle);\\n mat2 rotation = mat2(c, -s, s, c);\\n\\n vec2 pos = a_center + rotation*v_coords;\\n#ifdef HATCH\\n // Coordinates for hatching in unrotated frame of reference.\\n v_hatch_coords = pos - 0.5;\\n#endif\\n pos += 0.5; // Make up for Bokeh's offset.\\n pos /= u_canvas_size / u_pixel_ratio; // 0 to 1.\\n gl_Position = vec4(2.0*pos.x - 1.0, 1.0 - 2.0*pos.y, 0.0, 1.0);\\n}\\n\"},\n 418: function _(n,i,e,t,a){t();e.default=\"\\nprecision mediump float;\\n\\nconst float SQRT2 = sqrt(2.0);\\nconst float SQRT3 = sqrt(3.0);\\nconst float PI = 3.14159265358979323846;\\n\\nconst int butt_cap = 0;\\nconst int round_cap = 1;\\nconst int square_cap = 2;\\n\\nconst int miter_join = 0;\\nconst int round_join = 1;\\nconst int bevel_join = 2;\\n\\n#ifdef HATCH\\nconst int hatch_dot = 1;\\nconst int hatch_ring = 2;\\nconst int hatch_horizontal_line = 3;\\nconst int hatch_vertical_line = 4;\\nconst int hatch_cross = 5;\\nconst int hatch_horizontal_dash = 6;\\nconst int hatch_vertical_dash = 7;\\nconst int hatch_spiral = 8;\\nconst int hatch_right_diagonal_line = 9;\\nconst int hatch_left_diagonal_line = 10;\\nconst int hatch_diagonal_cross = 11;\\nconst int hatch_right_diagonal_dash = 12;\\nconst int hatch_left_diagonal_dash = 13;\\nconst int hatch_horizontal_wave = 14;\\nconst int hatch_vertical_wave = 15;\\nconst int hatch_criss_cross = 16;\\n#endif\\n\\nuniform float u_antialias;\\n\\nvarying float v_linewidth;\\nvarying vec2 v_size;\\nvarying vec4 v_line_color;\\nvarying vec4 v_fill_color;\\nvarying float v_line_cap;\\nvarying float v_line_join;\\nvarying vec2 v_coords;\\n#ifdef HATCH\\nvarying float v_hatch_pattern;\\nvarying float v_hatch_scale;\\nvarying float v_hatch_weight;\\nvarying vec4 v_hatch_color;\\nvarying vec2 v_hatch_coords;\\n#endif\\n\\n// Lines within the marker (dot, cross, x and y) are added at the end as they are\\n// on top of the fill rather than astride it.\\n#if defined(USE_CIRCLE_DOT) || defined(USE_DIAMOND_DOT) || defined(USE_DOT) || defined(USE_HEX_DOT) || defined(USE_SQUARE_DOT) || defined(USE_STAR_DOT) || defined(USE_TRIANGLE_DOT)\\n #define APPEND_DOT\\n#endif\\n\\n#if defined(USE_CIRCLE_CROSS) || defined(USE_SQUARE_CROSS)\\n #define APPEND_CROSS\\n#endif\\n\\n#ifdef USE_DIAMOND_CROSS\\n #define APPEND_CROSS_2\\n#endif\\n\\n#ifdef USE_CIRCLE_X\\n #define APPEND_X\\n #define APPEND_X_LEN (0.5*v_size.x)\\n#endif\\n\\n#ifdef USE_SQUARE_X\\n #define APPEND_X\\n #define APPEND_X_LEN (v_size.x/SQRT2)\\n#endif\\n\\n#ifdef USE_CIRCLE_Y\\n #define APPEND_Y\\n#endif\\n\\n#if defined(USE_ASTERISK) || defined(USE_CROSS) || defined(USE_DASH) || defined(USE_DOT) || defined(USE_X) || defined(USE_Y)\\n // No fill.\\n #define LINE_ONLY\\n#endif\\n\\n#if defined(LINE_ONLY) || defined(APPEND_CROSS) || defined(APPEND_CROSS_2) || defined(APPEND_X) || defined(APPEND_Y)\\nfloat end_cap_distance(in vec2 p, in vec2 end_point, in vec2 unit_direction, in int line_cap)\\n{\\n vec2 offset = p - end_point;\\n if (line_cap == butt_cap)\\n return dot(offset, unit_direction) + 0.5*v_linewidth;\\n else if (line_cap == square_cap)\\n return dot(offset, unit_direction);\\n else if (line_cap == round_cap && dot(offset, unit_direction) > 0.0)\\n return length(offset);\\n else\\n // Default is outside of line and should be -0.5*(v_linewidth+u_antialias) or less,\\n // so here avoid the multiplication.\\n return -v_linewidth-u_antialias;\\n}\\n#endif\\n\\n#if !(defined(LINE_ONLY) || defined(USE_SQUARE_PIN) || defined(USE_TRIANGLE_PIN))\\n// For line join at a vec2 corner where 2 line segments meet, consider bevel points which are the 2\\n// points obtained by moving half a linewidth away from the corner point in the directions normal to\\n// the line segments. The line through these points is the bevel line, characterised by a vec2\\n// unit_normal and offset distance from the corner point. Edge of bevel join straddles this line,\\n// round join occurs outside of this line centred on the corner point. In general\\n// offset = (linewidth/2)*sin(alpha/2)\\n// where alpha is the angle between the 2 line segments at the corner.\\nfloat line_join_distance_no_miter(\\n in vec2 p, in vec2 corner, in vec2 unit_normal, in float offset, in int line_join)\\n{\\n // Simplified version of line_join_distance ignoring miter which most markers do implicitly\\n // as they are composed of straight line segments.\\n float dist_outside = dot((p - corner), unit_normal) - offset;\\n\\n if (line_join == bevel_join && dist_outside > -0.5*u_antialias)\\n return dist_outside + 0.5*v_linewidth;\\n else if (dist_outside > 0.0) // round_join\\n return distance(p, corner);\\n else\\n // Default is outside of line and should be -0.5*(v_linewidth+u_antialias) or less,\\n // so here avoid the multiplication.\\n return -v_linewidth-u_antialias;\\n}\\n#endif\\n\\n#if defined(USE_SQUARE_PIN) || defined(USE_TRIANGLE_PIN)\\n// Line join distance including miter but only one-sided check as assuming use of symmetry in\\n// calling function.\\nfloat line_join_distance_incl_miter(\\n in vec2 p, in vec2 corner, in vec2 unit_normal, in float offset, in int line_join,\\n vec2 miter_unit_normal)\\n{\\n float dist_outside = dot((p - corner), unit_normal) - offset;\\n\\n if (line_join == miter_join && dist_outside > 0.0)\\n return dot((p - corner), miter_unit_normal);\\n else if (line_join == bevel_join && dist_outside > -0.5*u_antialias)\\n return dist_outside + 0.5*v_linewidth;\\n else if (dist_outside > 0.0) // round_join\\n return distance(p, corner);\\n else\\n return -v_linewidth-u_antialias;\\n}\\n#endif\\n\\n#if defined(APPEND_CROSS) || defined(APPEND_X) || defined(USE_ASTERISK) || defined(USE_CROSS) || defined(USE_X)\\nfloat one_cross(in vec2 p, in int line_cap, in float len)\\n{\\n p = abs(p);\\n p = (p.y > p.x) ? p.yx : p.xy;\\n float dist = p.y;\\n float end_dist = end_cap_distance(p, vec2(len, 0.0), vec2(1.0, 0.0), line_cap);\\n return max(dist, end_dist);\\n}\\n#endif\\n\\n#ifdef APPEND_CROSS_2\\nfloat one_cross_2(in vec2 p, in int line_cap, in vec2 lengths)\\n{\\n // Cross with different length in x and y directions.\\n p = abs(p);\\n bool switch_xy = (p.y > p.x);\\n p = switch_xy ? p.yx : p.xy;\\n float len = switch_xy ? lengths.y : lengths.x;\\n float dist = p.y;\\n float end_dist = end_cap_distance(p, vec2(len, 0.0), vec2(1.0, 0.0), line_cap);\\n return max(dist, end_dist);\\n}\\n#endif\\n\\n#if defined(APPEND_Y) || defined(USE_Y)\\nfloat one_y(in vec2 p, in int line_cap, in float len)\\n{\\n p = vec2(abs(p.x), -p.y);\\n\\n // End point of line to right is (1/2, 1/3)*len*SQRT3.\\n // Unit vector along line is (1/2, 1/3)*k where k = 6/SQRT13.\\n const float k = 6.0/sqrt(13.0);\\n vec2 unit_along = vec2(0.5*k, k/3.0);\\n vec2 end_point = vec2(0.5*len*SQRT3, len*SQRT3/3.0);\\n float dist = max(abs(dot(p, vec2(-unit_along.y, unit_along.x))),\\n end_cap_distance(p, end_point, unit_along, line_cap));\\n\\n if (p.y < 0.0) {\\n // Vertical line.\\n float vert_dist = max(p.x,\\n end_cap_distance(p, vec2(0.0, -len), vec2(0.0, -1.0), line_cap));\\n dist = min(dist, vert_dist);\\n }\\n return dist;\\n}\\n#endif\\n\\n// One marker_distance function per marker type.\\n// Distance is zero on edge of marker, +ve outside and -ve inside.\\n\\n#ifdef USE_ASTERISK\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n // Assuming v_size.x == v.size_y\\n vec2 p_diag = vec2((p.x + p.y)/SQRT2, (p.x - p.y)/SQRT2);\\n float len = 0.5*v_size.x;\\n return min(one_cross(p, line_cap, len), // cross\\n one_cross(p_diag, line_cap, len)); // x\\n}\\n#endif\\n\\n#if defined(USE_CIRCLE) || defined(USE_CIRCLE_CROSS) || defined(USE_CIRCLE_DOT) || defined(USE_CIRCLE_X) || defined(USE_CIRCLE_Y)\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n // Assuming v_size.x == v.size_y\\n return length(p) - 0.5*v_size.x;\\n}\\n#endif\\n\\n#ifdef USE_CROSS\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n // Assuming v_size.x == v.size_y\\n return one_cross(p, line_cap, 0.5*v_size.x);\\n}\\n#endif\\n\\n#ifdef USE_DASH\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n p = abs(p);\\n float dist = p.y;\\n float end_dist = end_cap_distance(p, vec2(0.5*v_size.x, 0.0), vec2(1.0, 0.0), line_cap);\\n return max(dist, end_dist);\\n}\\n#endif\\n\\n#if defined(USE_DIAMOND) || defined(USE_DIAMOND_CROSS) || defined(USE_DIAMOND_DOT)\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n // Assuming v_size.x == v.size_y\\n // Only need to consider +ve quadrant, the 2 end points are (2r/3, 0) and (0, r)\\n // where r = radius = v_size.x/2.\\n // Line has outward-facing unit normal vec2(1, 2/3)/k where k = SQRT13/3\\n // hence vec2(3, 2)/SQRT13, and distance from origin of 2r/(3k) = 2r/SQRT13.\\n p = abs(p);\\n float r = 0.5*v_size.x;\\n const float SQRT13 = sqrt(13.0);\\n float dist = dot(p, vec2(3.0, 2.0))/SQRT13 - 2.0*r/SQRT13;\\n\\n if (line_join != miter_join) {\\n dist = max(dist, line_join_distance_no_miter(\\n p, vec2(0.0, r), vec2(0.0, 1.0), v_linewidth/SQRT13, line_join));\\n\\n dist = max(dist, line_join_distance_no_miter(\\n p, vec2(r*2.0/3.0, 0.0), vec2(1.0, 0.0), v_linewidth*(1.5/SQRT13), line_join));\\n }\\n\\n return dist;\\n}\\n#endif\\n\\n#ifdef USE_DOT\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n // Dot is always appended.\\n return v_linewidth+u_antialias;\\n}\\n#endif\\n\\n#if defined(USE_HEX) || defined(USE_HEX_DOT)\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n // A regular hexagon has v_size.x == v.size_y = r where r is the length of\\n // each of the 3 sides of the 6 equilateral triangles that comprise the hex.\\n // Only consider +ve quadrant, the 3 corners are at (0, h), (rx/2, h), (rx, 0)\\n // where rx = 0.5*v_size.x, ry = 0.5*v_size.y and h = ry*SQRT3/2.\\n // Sloping line has outward normal vec2(h, rx/2). Length of this is\\n // len = sqrt(h**2 + rx**2/4) to give unit normal (h, rx/2)/len and distance\\n // from origin of this line is rx*h/len.\\n p = abs(p);\\n float rx = v_size.x/2.0;\\n float h = v_size.y*(SQRT3/4.0);\\n float len_normal = sqrt(h*h + 0.25*rx*rx);\\n vec2 unit_normal = vec2(h, 0.5*rx) / len_normal;\\n float dist = max(dot(p, unit_normal) - rx*h/len_normal, // Distance from sloping line.\\n p.y - h); // Distance from horizontal line.\\n\\n if (line_join != miter_join) {\\n dist = max(dist, line_join_distance_no_miter(\\n p, vec2(rx, 0.0), vec2(1.0, 0.0), 0.5*v_linewidth*unit_normal.x, line_join));\\n\\n unit_normal = normalize(unit_normal + vec2(0.0, 1.0)); // At (rx/2, h) corner.\\n dist = max(dist, line_join_distance_no_miter(\\n p, vec2(0.5*rx, h), unit_normal, 0.5*v_linewidth*unit_normal.y, line_join));\\n }\\n return dist;\\n}\\n#endif\\n\\n#ifdef USE_PLUS\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n // Assuming v_size.x == v.size_y\\n // Only need to consider one octant, the +ve quadrant with x >= y.\\n p = abs(p);\\n p = (p.y > p.x) ? p.yx : p.xy;\\n\\n // 3 corners are (r, 0), (r, 3r/8) and (3r/8, 3r/8).\\n float r = 0.5*v_size.x;\\n p = p - vec2(r, 0.375*r); // Distance with respect to outside corner\\n float dist = max(p.x, p.y);\\n\\n if (line_join != miter_join) {\\n // Outside corner\\n dist = max(dist, line_join_distance_no_miter(\\n p, vec2(0.0, 0.0), vec2(1.0/SQRT2, 1.0/SQRT2), v_linewidth/(2.0*SQRT2), line_join));\\n\\n // Inside corner\\n dist = min(dist, -line_join_distance_no_miter(\\n p, vec2(-5.0*r/8.0, 0.0), vec2(-1.0/SQRT2, -1.0/SQRT2), v_linewidth/(2.0*SQRT2), line_join));\\n }\\n\\n return dist;\\n}\\n#endif\\n\\n#if defined(USE_SQUARE) || defined(USE_SQUARE_CROSS) || defined(USE_SQUARE_DOT) || defined(USE_SQUARE_X)\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n vec2 p2 = abs(p) - v_size/2.0; // Offset from corner\\n float dist = max(p2.x, p2.y);\\n\\n if (line_join != miter_join)\\n dist = max(dist, line_join_distance_no_miter(\\n p2, vec2(0.0, 0.0), vec2(1.0/SQRT2, 1.0/SQRT2), v_linewidth/(2.0*SQRT2), line_join));\\n\\n return dist;\\n}\\n#endif\\n\\n#ifdef USE_SQUARE_PIN\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n // Assuming v_size.x == v.size_y\\n p = abs(p);\\n p = (p.y > p.x) ? p.yx : p.xy;\\n // p is in octant between y=0 and y=x.\\n // Quadratic bezier curve passes through (r, r), (11r/16, 0) and (r, -r).\\n // Circular arc that passes through the same points has center at\\n // x = r + 231r/160 = 2.44275r and y = 0 and hence radius is\\n // x - 11r/16 = 1.75626 precisely.\\n float r = 0.5*v_size.x;\\n float center_x = r*2.44375;\\n float radius = r*1.75626;\\n float dist = radius - distance(p, vec2(center_x, 0.0));\\n\\n // Magic number is 0.5*sin(atan(8/5) - pi/4)\\n dist = max(dist, line_join_distance_incl_miter(\\n p, vec2(r, r), vec2(1.0/SQRT2, 1.0/SQRT2), v_linewidth*0.1124297533493792, line_join,\\n vec2(8.0/sqrt(89.0), -5.0/sqrt(89.0))));\\n\\n return dist;\\n}\\n#endif\\n\\n#if defined(USE_STAR) || defined(USE_STAR_DOT)\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n // Assuming v_size.x == v.size_y\\n const float SQRT5 = sqrt(5.0);\\n const float COS72 = 0.25*(SQRT5 - 1.0);\\n const float SIN72 = sqrt((5.0+SQRT5) / 8.0);\\n\\n float angle = atan(p.x, p.y); // In range -pi to +pi clockwise from +y direction.\\n angle = mod(angle, 0.4*PI) - 0.2*PI; // In range -pi/5 to +pi/5 clockwise from +y direction.\\n p = length(p)*vec2(cos(angle), abs(sin(angle))); // (x,y) in pi/10 (36 degree) sector.\\n\\n // 2 corners are at (r, 0) and (r-a*SIN72, a*COS72) where a = r sqrt(5-2*sqrt(5)).\\n // Line has outward-facing unit normal vec2(COS72, SIN72) and distance from\\n // origin of dot(vec2(r, 0), vec2(COS72, SIN72)) = r*COS72\\n float r = 0.5*v_size.x;\\n float a = r*sqrt(5.0 - 2.0*SQRT5);\\n float dist = dot(p, vec2(COS72, SIN72)) - r*COS72;\\n\\n if (line_join != miter_join) {\\n // Outside corner\\n dist = max(dist, line_join_distance_no_miter(\\n p, vec2(r, 0.0), vec2(1.0, 0.0), v_linewidth*(0.5*COS72), line_join));\\n\\n // Inside corner\\n const float COS36 = sqrt(0.5 + COS72/2.0);\\n const float SIN36 = sqrt(0.5 - COS72/2.0);\\n dist = min(dist, -line_join_distance_no_miter(\\n p, vec2(r-a*SIN72, a*COS72), vec2(-COS36, -SIN36), v_linewidth*(0.5*COS36), line_join));\\n }\\n\\n return dist;\\n}\\n#endif\\n\\n#if defined(USE_TRIANGLE) || defined(USE_TRIANGLE_DOT) || defined(USE_INVERTED_TRIANGLE)\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n // Assuming v_size.x == v.size_y\\n // For normal triangle 3 corners are at (-r, a), (r, a), (0, a-h)=(0, -2h/3)\\n // given r = radius = v_size.x/2, h = SQRT3*r, a = h/3.\\n // Sloping line has outward-facing unit normal vec2(h, -r)/2r = vec2(SQRT3, -1)/2\\n // and distance from origin of a. Horizontal line has outward-facing unit normal\\n // vec2(0, 1) and distance from origin of a.\\n float r = 0.5*v_size.x;\\n float a = r*SQRT3/3.0;\\n\\n // Only need to consider +ve x.\\n#ifdef USE_INVERTED_TRIANGLE\\n p = vec2(abs(p.x), -p.y);\\n#else\\n p = vec2(abs(p.x), p.y);\\n#endif\\n\\n float dist = max(0.5*dot(p, vec2(SQRT3, -1.0)) - a, // Distance from sloping line.\\n p.y - a); // Distance from horizontal line.\\n\\n if (line_join != miter_join) {\\n dist = max(dist, line_join_distance_no_miter(\\n p, vec2(0.0, -(2.0/SQRT3)*r), vec2(0.0, -1.0), v_linewidth*0.25, line_join));\\n\\n dist = max(dist, line_join_distance_no_miter(\\n p, vec2(r, a), vec2(SQRT3/2.0, 0.5), v_linewidth*0.25, line_join));\\n }\\n\\n return dist;\\n}\\n#endif\\n\\n#ifdef USE_TRIANGLE_PIN\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n // Assuming v_size.x == v.size_y\\n float angle = atan(p.x, -p.y); // In range -pi to +pi.\\n angle = mod(angle, PI*2.0/3.0) - PI/3.0; // In range -pi/3 to pi/3.\\n p = length(p)*vec2(cos(angle), abs(sin(angle))); // (x,y) in range 0 to pi/3.\\n // Quadratic bezier curve passes through (a, r), ((a+b)/2, 0) and (a, -r) where\\n // a = r/SQRT3, b = 3a/8 = r SQRT3/8. Circular arc that passes through the same points has\\n // center at (a+x, 0) and radius x+c where c = (a-b)/2 and x = (r**2 - c**2) / (2c).\\n // Ignore r factor until the end so can use const.\\n const float a = 1.0/SQRT3;\\n const float b = SQRT3/8.0;\\n const float c = (a-b)/2.0;\\n const float x = (1.0 - c*c) / (2.0*c);\\n const float center_x = x + a;\\n const float radius = x + c;\\n float r = 0.5*v_size.x;\\n float dist = r*radius - distance(p, vec2(r*center_x, 0.0));\\n\\n // Magic number is 0.5*sin(atan(8*sqrt(3)/5) - pi/3)\\n dist = max(dist, line_join_distance_incl_miter(\\n p, vec2(a*r, r), vec2(0.5, 0.5*SQRT3), v_linewidth*0.0881844526878324, line_join,\\n vec2(8.0*SQRT3, -5.0)/sqrt(217.0)));\\n\\n return dist;\\n}\\n#endif\\n\\n#ifdef USE_X\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n // Assuming v_size.x == v.size_y\\n p = vec2((p.x + p.y)/SQRT2, (p.x - p.y)/SQRT2);\\n return one_cross(p, line_cap, 0.5*v_size.x);\\n}\\n#endif\\n\\n#ifdef USE_Y\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n // Assuming v_size.x == v.size_y\\n return one_y(p, line_cap, 0.5*v_size.x);\\n}\\n#endif\\n\\n// Convert distance from edge of marker to fraction in range 0 to 1, depending\\n// on antialiasing width.\\nfloat distance_to_fraction(in float dist)\\n{\\n return 1.0 - smoothstep(-0.5*u_antialias, 0.5*u_antialias, dist);\\n}\\n\\n// Return fraction from 0 (no fill color) to 1 (full fill color).\\nfloat fill_fraction(in float dist)\\n{\\n return distance_to_fraction(dist);\\n}\\n\\n// Return fraction in range 0 (no line color) to 1 (full line color).\\nfloat line_fraction(in float dist)\\n{\\n return distance_to_fraction(abs(dist) - 0.5*v_linewidth);\\n}\\n\\n// Return fraction (in range 0 to 1) of a color, with premultiplied alpha.\\nvec4 fractional_color(in vec4 color, in float fraction)\\n{\\n color.a *= fraction;\\n color.rgb *= color.a;\\n return color;\\n}\\n\\n// Blend colors that have premultiplied alpha.\\nvec4 blend_colors(in vec4 src, in vec4 dest)\\n{\\n return (1.0 - src.a)*dest + src;\\n}\\n\\n#ifdef APPEND_DOT\\nfloat dot_fraction(in vec2 p)\\n{\\n // Assuming v_size.x == v_size.y\\n float radius = 0.125*v_size.x;\\n float dot_distance = max(length(p) - radius, -0.5*u_antialias);\\n return fill_fraction(dot_distance);\\n}\\n#endif\\n\\n#ifdef HATCH\\n// Wrap coordinate(s) by removing integer part to give distance from center of\\n// repeat, in the range -0.5 to +0.5.\\nfloat wrap(in float x)\\n{\\n return fract(x) - 0.5;\\n}\\n\\nvec2 wrap(in vec2 xy)\\n{\\n return fract(xy) - 0.5;\\n}\\n\\n// Return fraction from 0 (no hatch color) to 1 (full hatch color).\\nfloat hatch_fraction(in vec2 coords, in int hatch_pattern)\\n{\\n float scale = v_hatch_scale; // Hatch repeat distance.\\n\\n // Coordinates and linewidth/halfwidth are scaled to hatch repeat distance.\\n coords = coords / scale;\\n float halfwidth = 0.5*v_hatch_weight / scale; // Half the hatch linewidth.\\n\\n // Default is to return fraction of zero, i.e. no pattern.\\n float dist = u_antialias;\\n\\n if (hatch_pattern == hatch_dot) {\\n const float dot_radius = 0.25;\\n dist = length(wrap(coords)) - dot_radius;\\n }\\n else if (hatch_pattern == hatch_ring) {\\n const float ring_radius = 0.25;\\n dist = abs(length(wrap(coords)) - ring_radius) - halfwidth;\\n }\\n else if (hatch_pattern == hatch_horizontal_line) {\\n dist = abs(wrap(coords.y)) - halfwidth;\\n }\\n else if (hatch_pattern == hatch_vertical_line) {\\n dist = abs(wrap(coords.x)) - halfwidth;\\n }\\n else if (hatch_pattern == hatch_cross) {\\n dist = min(abs(wrap(coords.x)), abs(wrap(coords.y))) - halfwidth;\\n }\\n else if (hatch_pattern == hatch_horizontal_dash) {\\n // Dashes have square caps.\\n const float halflength = 0.25;\\n dist = max(abs(wrap(coords.y)),\\n abs(wrap(coords.x) + 0.25) - halflength) - halfwidth;\\n }\\n else if (hatch_pattern == hatch_vertical_dash) {\\n const float halflength = 0.25;\\n dist = max(abs(wrap(coords.x)),\\n abs(wrap(coords.y) + 0.25) - halflength) - halfwidth;\\n }\\n else if (hatch_pattern == hatch_spiral) {\\n vec2 wrap2 = wrap(coords);\\n float angle = wrap(atan(wrap2.y, wrap2.x) / (2.0*PI));\\n // Canvas spiral radius increases by scale*pi/15 each rotation.\\n const float dr = PI/15.0;\\n float radius = length(wrap2);\\n // At any angle, spiral lines are equally spaced dr apart.\\n // Find distance to nearest of these lines.\\n float frac = fract((radius - dr*angle) / dr); // 0 to 1.\\n dist = dr*(abs(frac - 0.5));\\n dist = min(dist, radius) - halfwidth; // Consider center point also.\\n }\\n else if (hatch_pattern == hatch_right_diagonal_line) {\\n dist = abs(wrap(2.0*coords.x + coords.y))/sqrt(5.0) - halfwidth;\\n }\\n else if (hatch_pattern == hatch_left_diagonal_line) {\\n dist = abs(wrap(2.0*coords.x - coords.y))/sqrt(5.0) - halfwidth;\\n }\\n else if (hatch_pattern == hatch_diagonal_cross) {\\n coords = vec2(coords.x + coords.y + 0.5, coords.x - coords.y + 0.5);\\n dist = min(abs(wrap(coords.x)), abs(wrap(coords.y))) / SQRT2 - halfwidth;\\n }\\n else if (hatch_pattern == hatch_right_diagonal_dash) {\\n float across = coords.x + coords.y + 0.5;\\n dist = abs(wrap(across)) / SQRT2; // Distance to nearest solid line.\\n\\n across = floor(across); // Offset for dash.\\n float along = wrap(0.5*(coords.x - coords.y + across));\\n const float halflength = 0.25;\\n along = abs(along) - halflength; // Distance along line.\\n\\n dist = max(dist, along) - halfwidth;\\n }\\n else if (hatch_pattern == hatch_left_diagonal_dash) {\\n float across = coords.x - coords.y + 0.5;\\n dist = abs(wrap(across)) / SQRT2; // Distance to nearest solid line.\\n\\n across = floor(across); // Offset for dash.\\n float along = wrap(0.5*(coords.x + coords.y + across));\\n const float halflength = 0.25;\\n along = abs(along) - halflength; // Distance along line.\\n\\n dist = max(dist, along) - halfwidth;\\n }\\n else if (hatch_pattern == hatch_horizontal_wave) {\\n float wrapx = wrap(coords.x);\\n float wrapy = wrap(coords.y - 0.25 + abs(wrapx));\\n dist = abs(wrapy) / SQRT2 - halfwidth;\\n }\\n else if (hatch_pattern == hatch_vertical_wave) {\\n float wrapy = wrap(coords.y);\\n float wrapx = wrap(coords.x - 0.25 + abs(wrapy));\\n dist = abs(wrapx) / SQRT2 - halfwidth;\\n }\\n else if (hatch_pattern == hatch_criss_cross) {\\n float plus = min(abs(wrap(coords.x)), abs(wrap(coords.y)));\\n\\n coords = vec2(coords.x + coords.y + 0.5, coords.x - coords.y + 0.5);\\n float X = min(abs(wrap(coords.x)), abs(wrap(coords.y))) / SQRT2;\\n\\n dist = min(plus, X) - halfwidth;\\n }\\n\\n return distance_to_fraction(dist*scale);\\n}\\n#endif\\n\\nvoid main()\\n{\\n int line_cap = int(v_line_cap + 0.5);\\n int line_join = int(v_line_join + 0.5);\\n#ifdef HATCH\\n int hatch_pattern = int(v_hatch_pattern + 0.5);\\n#endif\\n\\n float dist = marker_distance(v_coords, line_cap, line_join);\\n\\n#ifdef LINE_ONLY\\n vec4 color = vec4(0.0, 0.0, 0.0, 0.0);\\n#else\\n float fill_frac = fill_fraction(dist);\\n vec4 color = fractional_color(v_fill_color, fill_frac);\\n#endif\\n\\n#if defined(HATCH) && !defined(LINE_ONLY)\\n if (hatch_pattern > 0 && fill_frac > 0.0) {\\n float hatch_frac = hatch_fraction(v_hatch_coords, hatch_pattern);\\n vec4 hatch_color = fractional_color(v_hatch_color, hatch_frac*fill_frac);\\n color = blend_colors(hatch_color, color);\\n }\\n#endif\\n\\n float line_frac = line_fraction(dist);\\n\\n#ifdef APPEND_DOT\\n line_frac = max(line_frac, dot_fraction(v_coords));\\n#endif\\n#ifdef APPEND_CROSS\\n line_frac = max(line_frac, line_fraction(one_cross(v_coords, line_cap, 0.5*v_size.x)));\\n#endif\\n#ifdef APPEND_CROSS_2\\n vec2 lengths = vec2(v_size.x/3.0, v_size.x/2.0);\\n line_frac = max(line_frac, line_fraction(one_cross_2(v_coords, line_cap, lengths)));\\n#endif\\n#ifdef APPEND_X\\n vec2 p = vec2((v_coords.x + v_coords.y)/SQRT2, (v_coords.x - v_coords.y)/SQRT2);\\n line_frac = max(line_frac, line_fraction(one_cross(p, line_cap, APPEND_X_LEN)));\\n#endif\\n#ifdef APPEND_Y\\n line_frac = max(line_frac, line_fraction(one_y(v_coords, line_cap, 0.5*v_size.x)));\\n#endif\\n\\n if (line_frac > 0.0) {\\n vec4 line_color = fractional_color(v_line_color, line_frac);\\n color = blend_colors(line_color, color);\\n }\\n\\n gl_FragColor = color;\\n}\\n\"},\n 419: function _(t,_,i,h,e){h();const s=t(420),a=t(421),r=t(422);class l extends s.BaseGLGlyph{constructor(t,_){super(t,_),this.glyph=_,this._antialias=1.5,this._show_all=!1}_draw_one_marker_type(t,_,i){const h={scissor:this.regl_wrapper.scissor,viewport:this.regl_wrapper.viewport,canvas_size:[_.width,_.height],pixel_ratio:_.pixel_ratio,center:i._centers,width:i._widths,height:i._heights,angle:i._angles,size_hint:(0,r.marker_type_to_size_hint)(t),nmarkers:i.nvertices,antialias:this._antialias,linewidth:this._linewidths,line_color:this._line_rgba,fill_color:this._fill_rgba,line_cap:this._line_caps,line_join:this._line_joins,show:this._show};if(this._have_hatch){const _=Object.assign(Object.assign({},h),{hatch_pattern:this._hatch_patterns,hatch_scale:this._hatch_scales,hatch_weight:this._hatch_weights,hatch_color:this._hatch_rgba});this.regl_wrapper.marker_hatch(t)(_)}else this.regl_wrapper.marker_no_hatch(t)(h)}_set_visuals(){const t=this._get_visuals(),_=t.fill,i=t.line;if(null==this._linewidths&&(this._linewidths=new a.Float32Buffer(this.regl_wrapper),this._line_caps=new a.Uint8Buffer(this.regl_wrapper),this._line_joins=new a.Uint8Buffer(this.regl_wrapper),this._line_rgba=new a.NormalizedUint8Buffer(this.regl_wrapper),this._fill_rgba=new a.NormalizedUint8Buffer(this.regl_wrapper)),this._linewidths.set_from_prop(i.line_width),this._line_caps.set_from_line_cap(i.line_cap),this._line_joins.set_from_line_join(i.line_join),this._line_rgba.set_from_color(i.line_color,i.line_alpha),this._fill_rgba.set_from_color(_.fill_color,_.fill_alpha),this._have_hatch=t.hatch.doit,this._have_hatch){const _=t.hatch;null==this._hatch_patterns&&(this._hatch_patterns=new a.Uint8Buffer(this.regl_wrapper),this._hatch_scales=new a.Float32Buffer(this.regl_wrapper),this._hatch_weights=new a.Float32Buffer(this.regl_wrapper),this._hatch_rgba=new a.NormalizedUint8Buffer(this.regl_wrapper)),this._hatch_patterns.set_from_hatch_pattern(_.hatch_pattern),this._hatch_scales.set_from_prop(_.hatch_scale),this._hatch_weights.set_from_prop(_.hatch_weight),this._hatch_rgba.set_from_color(_.hatch_color,_.hatch_alpha)}}}i.BaseMarkerGL=l,l.__name__=\"BaseMarkerGL\",l.missing_point=-1e4},\n 420: function _(e,t,s,i,h){i();class a{constructor(e,t){this.glyph=t,this.nvertices=0,this.size_changed=!1,this.data_changed=!1,this.visuals_changed=!1,this.regl_wrapper=e}set_data_changed(){const{data_size:e}=this.glyph;e!=this.nvertices&&(this.nvertices=e,this.size_changed=!0),this.data_changed=!0}set_visuals_changed(){this.visuals_changed=!0}render(e,t,s){if(0==t.length)return!0;const{width:i,height:h}=this.glyph.renderer.plot_view.canvas_view.webgl.canvas,a={pixel_ratio:this.glyph.renderer.plot_view.canvas_view.pixel_ratio,width:i,height:h};return this.draw(t,s,a),!0}}s.BaseGLGlyph=a,a.__name__=\"BaseGLGlyph\"},\n 421: function _(r,t,a,e,s){e();const i=r(422),_=r(22);class n{constructor(r){this.regl_wrapper=r,this.is_scalar=!0}get_sized_array(r){return null!=this.array&&this.array.length==r||(this.array=this.new_array(r)),this.array}is_normalized(){return!1}get length(){return null!=this.array?this.array.length:0}set_from_array(r){const t=r.length,a=this.get_sized_array(t);for(let e=0;e0}_set_data(){const s=this.glyph.sx.length,i=s-1;this._is_closed=s>2&&this.glyph.sx[0]==this.glyph.sx[s-1]&&this.glyph.sy[0]==this.glyph.sy[s-1]&&isFinite(this.glyph.sx[0])&&isFinite(this.glyph.sy[0]),null==this._points&&(this._points=new o.Float32Buffer(this.regl_wrapper));const t=this._points.get_sized_array(2*(s+2));for(let i=1;is/255)),this._linewidth=s.line_width.value,this._linewidth<1&&(this._color[3]*=this._linewidth,this._linewidth=1),this._line_dash=(0,a.resolve_line_dash)(s.line_dash.value),this._is_dashed()&&([this._dash_tex_info,this._dash_tex,this._dash_scale]=this.regl_wrapper.get_dash(this._line_dash),this._dash_offset=s.line_dash_offset.value)}}t.LineGL=r,r.__name__=\"LineGL\"},\n 427: function _(s,t,i,e,r){e();const h=s(421),a=s(424);class n extends a.SingleMarkerGL{constructor(s,t){super(s,t),this.glyph=t}draw(s,t,i){this._draw_impl(s,i,t.glglyph,\"square\")}_get_visuals(){return this.glyph.visuals}_set_data(){const s=this.nvertices;null==this._centers&&(this._centers=new h.Float32Buffer(this.regl_wrapper),this._widths=new h.Float32Buffer(this.regl_wrapper),this._heights=new h.Float32Buffer(this.regl_wrapper),this._angles=new h.Float32Buffer(this.regl_wrapper),this._angles.set_from_scalar(0));const t=this._centers.get_sized_array(2*s),i=this._heights.get_sized_array(s),e=this._widths.get_sized_array(s);for(let r=0;r1||s.length<_){this._show_all=!1,n.fill(0),r=0;for(const e of s)1!=h&&i._marker_types.get(e)!=t||(n[e]=255,r++)}else this._show_all&&a==_||(this._show_all=!0,n.fill(255));this._show.update(),0!=r&&this._draw_one_marker_type(t,e,i)}}_get_visuals(){return this.glyph.visuals}_set_data(){const s=this.nvertices;null==this._centers&&(this._centers=new r.Float32Buffer(this.regl_wrapper),this._widths=new r.Float32Buffer(this.regl_wrapper),this._heights=this._widths,this._angles=new r.Float32Buffer(this.regl_wrapper));const t=this._centers.get_sized_array(2*s);for(let e=0;ethis.render()))}remove(){null!=this.icon_view&&this.icon_view.remove(),super.remove()}styles(){return[...super.styles(),d.default]}_render_button(...t){return(0,c.button)({type:\"button\",disabled:this.model.disabled,class:[h.btn,h[`btn_${this.model.button_type}`]]},...t)}render(){super.render(),this.button_el=this._render_button(this.model.label),this.button_el.addEventListener(\"click\",(()=>this.click())),null!=this.icon_view&&(\"\"!=this.model.label?(0,c.prepend)(this.button_el,this.icon_view.el,(0,c.nbsp)()):(0,c.prepend)(this.button_el,this.icon_view.el),this.icon_view.render()),this.group_el=(0,c.div)({class:h.btn_group},this.button_el),this.el.appendChild(this.group_el)}click(){}}n.AbstractButtonView=b,b.__name__=\"AbstractButtonView\";class p extends _.Control{constructor(t){super(t)}}n.AbstractButton=p,o=p,p.__name__=\"AbstractButton\",o.define((({String:t,Ref:e,Nullable:n})=>({label:[t,\"Button\"],icon:[n(e(a.AbstractIcon)),null],button_type:[r.ButtonType,\"default\"]})))},\n 442: function _(t,e,o,s,n){s();const i=t(512),l=t(43);class c extends i.WidgetView{connect_signals(){super.connect_signals();const t=this.model.properties;this.on_change(t.disabled,(()=>{for(const t of this.controls())(0,l.toggle_attribute)(t,\"disabled\",this.model.disabled)}))}}o.ControlView=c,c.__name__=\"ControlView\";class r extends i.Widget{constructor(t){super(t)}}o.Control=r,r.__name__=\"Control\"},\n 512: function _(i,e,t,n,o){var r;n();const s=i(312);class _ extends s.HTMLBoxView{get orientation(){return\"horizontal\"}get default_size(){return this.model.default_size}_width_policy(){return\"horizontal\"==this.orientation?super._width_policy():\"fixed\"}_height_policy(){return\"horizontal\"==this.orientation?\"fixed\":super._height_policy()}box_sizing(){const i=super.box_sizing();return\"horizontal\"==this.orientation?null==i.width&&(i.width=this.default_size):null==i.height&&(i.height=this.default_size),i}}t.WidgetView=_,_.__name__=\"WidgetView\";class h extends s.HTMLBox{constructor(i){super(i)}}t.Widget=h,r=h,h.__name__=\"Widget\",r.define((({Number:i})=>({default_size:[i,300]}))),r.override({margin:[5,5,5,5]})},\n 444: function _(c,t,s,n,e){n();const o=c(53),_=c(226);class a extends _.DOMView{}s.AbstractIconView=a,a.__name__=\"AbstractIconView\";class r extends o.Model{constructor(c){super(c)}}s.AbstractIcon=r,r.__name__=\"AbstractIcon\"},\n 445: function _(e,t,n,s,i){s();const h=e(1);var o;const _=e(446),u=e(43),r=e(10),c=(0,h.__importStar)(e(229)),a=c;class l extends _.TextInputView{constructor(){super(...arguments),this._open=!1,this._last_value=\"\",this._hover_index=0}styles(){return[...super.styles(),c.default]}render(){super.render(),this.input_el.addEventListener(\"keydown\",(e=>this._keydown(e))),this.input_el.addEventListener(\"keyup\",(e=>this._keyup(e))),this.menu=(0,u.div)({class:[a.menu,a.below]}),this.menu.addEventListener(\"click\",(e=>this._menu_click(e))),this.menu.addEventListener(\"mouseover\",(e=>this._menu_hover(e))),this.el.appendChild(this.menu),(0,u.undisplay)(this.menu)}change_input(){this._open&&this.menu.children.length>0?(this.model.value=this.menu.children[this._hover_index].textContent,this.input_el.focus(),this._hide_menu()):this.model.restrict||super.change_input()}_update_completions(e){(0,u.empty)(this.menu);for(const t of e){const e=(0,u.div)(t);this.menu.appendChild(e)}e.length>0&&this.menu.children[0].classList.add(a.active)}_show_menu(){if(!this._open){this._open=!0,this._hover_index=0,this._last_value=this.model.value,(0,u.display)(this.menu);const e=t=>{const{target:n}=t;n instanceof HTMLElement&&!this.el.contains(n)&&(document.removeEventListener(\"click\",e),this._hide_menu())};document.addEventListener(\"click\",e)}}_hide_menu(){this._open&&(this._open=!1,(0,u.undisplay)(this.menu))}_menu_click(e){e.target!=e.currentTarget&&e.target instanceof Element&&(this.model.value=e.target.textContent,this.input_el.focus(),this._hide_menu())}_menu_hover(e){if(e.target!=e.currentTarget&&e.target instanceof Element){let t=0;for(t=0;t0&&(this.menu.children[this._hover_index].classList.remove(a.active),this._hover_index=(0,r.clamp)(e,0,t-1),this.menu.children[this._hover_index].classList.add(a.active))}_keydown(e){}_keyup(e){switch(e.keyCode){case u.Keys.Enter:this.change_input();break;case u.Keys.Esc:this._hide_menu();break;case u.Keys.Up:this._bump_hover(this._hover_index-1);break;case u.Keys.Down:this._bump_hover(this._hover_index+1);break;default:{const e=this.input_el.value;if(e.lengthe:e=>e.toLowerCase();for(const n of this.model.completions)s(n).startsWith(s(e))&&t.push(n);this._update_completions(t),0==t.length?this._hide_menu():this._show_menu()}}}}n.AutocompleteInputView=l,l.__name__=\"AutocompleteInputView\";class d extends _.TextInput{constructor(e){super(e)}}n.AutocompleteInput=d,o=d,d.__name__=\"AutocompleteInput\",o.prototype.default_view=l,o.define((({Boolean:e,Int:t,String:n,Array:s})=>({completions:[s(n),[]],min_characters:[t,2],case_sensitive:[e,!0],restrict:[e,!0]})))},\n 446: function _(t,e,n,p,_){p();const u=t(1);var i;const s=t(447),r=t(43),x=(0,u.__importStar)(t(449));class a extends s.TextLikeInputView{_render_input(){this.input_el=(0,r.input)({type:\"text\",class:x.input})}}n.TextInputView=a,a.__name__=\"TextInputView\";class c extends s.TextLikeInput{constructor(t){super(t)}}n.TextInput=c,i=c,c.__name__=\"TextInput\",i.prototype.default_view=a},\n 447: function _(e,t,n,i,l){var s;i();const h=e(448);class a extends h.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,(()=>{var e;return this.input_el.name=null!==(e=this.model.name)&&void 0!==e?e:\"\"})),this.connect(this.model.properties.value.change,(()=>this.input_el.value=this.model.value)),this.connect(this.model.properties.value_input.change,(()=>this.input_el.value=this.model.value_input)),this.connect(this.model.properties.disabled.change,(()=>this.input_el.disabled=this.model.disabled)),this.connect(this.model.properties.placeholder.change,(()=>this.input_el.placeholder=this.model.placeholder)),this.connect(this.model.properties.max_length.change,(()=>{const{max_length:e}=this.model;null!=e?this.input_el.maxLength=e:this.input_el.removeAttribute(\"maxLength\")}))}render(){var e;super.render(),this._render_input();const{input_el:t}=this;t.name=null!==(e=this.model.name)&&void 0!==e?e:\"\",t.value=this.model.value,t.disabled=this.model.disabled,t.placeholder=this.model.placeholder,null!=this.model.max_length&&(t.maxLength=this.model.max_length),t.addEventListener(\"change\",(()=>this.change_input())),t.addEventListener(\"input\",(()=>this.change_input_value())),this.group_el.appendChild(t)}change_input(){this.model.value=this.input_el.value,super.change_input()}change_input_value(){this.model.value_input=this.input_el.value,super.change_input()}}n.TextLikeInputView=a,a.__name__=\"TextLikeInputView\";class u extends h.InputWidget{constructor(e){super(e)}}n.TextLikeInput=u,s=u,u.__name__=\"TextLikeInput\",s.define((({Int:e,String:t,Nullable:n})=>({value:[t,\"\"],value_input:[t,\"\"],placeholder:[t,\"\"],max_length:[n(e),null]})))},\n 448: function _(e,t,n,s,l){s();const i=e(1);var o;const r=e(442),_=e(43),p=(0,i.__importStar)(e(449)),a=p;class c extends r.ControlView{*controls(){yield this.input_el}connect_signals(){super.connect_signals(),this.connect(this.model.properties.title.change,(()=>{this.label_el.textContent=this.model.title}))}styles(){return[...super.styles(),p.default]}render(){super.render();const{title:e}=this.model;this.label_el=(0,_.label)({style:{display:0==e.length?\"none\":\"\"}},e),this.group_el=(0,_.div)({class:a.input_group},this.label_el),this.el.appendChild(this.group_el)}change_input(){}}n.InputWidgetView=c,c.__name__=\"InputWidgetView\";class d extends r.Control{constructor(e){super(e)}}n.InputWidget=d,o=d,d.__name__=\"InputWidget\",o.define((({String:e})=>({title:[e,\"\"]})))},\n 449: function _(o,p,t,n,i){n(),t.root=\"bk-root\",t.input=\"bk-input\",t.input_group=\"bk-input-group\",t.inline=\"bk-inline\",t.spin_wrapper=\"bk-spin-wrapper\",t.spin_btn=\"bk-spin-btn\",t.spin_btn_up=\"bk-spin-btn-up\",t.spin_btn_down=\"bk-spin-btn-down\",t.default='.bk-root .bk-input{display:inline-block;width:100%;flex-grow:1;min-height:31px;padding:0 12px;background-color:#fff;border:1px solid #ccc;border-radius:4px;}.bk-root .bk-input:focus{border-color:#66afe9;outline:0;box-shadow:inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 8px rgba(102, 175, 233, 0.6);}.bk-root .bk-input::placeholder,.bk-root .bk-input:-ms-input-placeholder,.bk-root .bk-input::-moz-placeholder,.bk-root .bk-input::-webkit-input-placeholder{color:#999;opacity:1;}.bk-root .bk-input[disabled]{cursor:not-allowed;background-color:#eee;opacity:1;}.bk-root select:not([multiple]).bk-input,.bk-root select:not([size]).bk-input{height:auto;appearance:none;-webkit-appearance:none;background-image:url(\\'data:image/svg+xml;utf8,\\');background-position:right 0.5em center;background-size:8px 6px;background-repeat:no-repeat;}.bk-root select[multiple].bk-input,.bk-root select[size].bk-input,.bk-root textarea.bk-input{height:auto;}.bk-root .bk-input-group{width:100%;height:100%;display:inline-flex;flex-wrap:nowrap;align-items:start;flex-direction:column;white-space:nowrap;}.bk-root .bk-input-group.bk-inline{flex-direction:row;}.bk-root .bk-input-group.bk-inline > *:not(:first-child){margin-left:5px;}.bk-root .bk-input-group input[type=\"checkbox\"] + span,.bk-root .bk-input-group input[type=\"radio\"] + span{position:relative;top:-2px;margin-left:3px;}.bk-root .bk-input-group > .bk-spin-wrapper{display:inherit;width:inherit;height:inherit;position:relative;overflow:hidden;padding:0;vertical-align:middle;}.bk-root .bk-input-group > .bk-spin-wrapper input{padding-right:20px;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn{position:absolute;display:block;height:50%;min-height:0;min-width:0;width:30px;padding:0;margin:0;right:0;border:none;background:none;cursor:pointer;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn:before{content:\"\";display:inline-block;transform:translateY(-50%);border-left:5px solid transparent;border-right:5px solid transparent;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-up{top:0;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-up:before{border-bottom:5px solid black;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-up:disabled:before{border-bottom-color:grey;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-down{bottom:0;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-down:before{border-top:5px solid black;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-down:disabled:before{border-top-color:grey;}'},\n 450: function _(t,e,n,o,c){var s;o();const u=t(441),r=t(251);class i extends u.AbstractButtonView{click(){this.model.trigger_event(new r.ButtonClick),super.click()}}n.ButtonView=i,i.__name__=\"ButtonView\";class _ extends u.AbstractButton{constructor(t){super(t)}}n.Button=_,s=_,_.__name__=\"Button\",s.prototype.default_view=i,s.override({label:\"Button\"})},\n 451: function _(t,e,o,c,a){c();const s=t(1);var n;const i=t(452),r=t(43),u=(0,s.__importStar)(t(318));class _ extends i.ButtonGroupView{get active(){return new Set(this.model.active)}change_active(t){const{active:e}=this;e.has(t)?e.delete(t):e.add(t),this.model.active=[...e].sort()}_update_active(){const{active:t}=this;this._buttons.forEach(((e,o)=>{(0,r.classes)(e).toggle(u.active,t.has(o))}))}}o.CheckboxButtonGroupView=_,_.__name__=\"CheckboxButtonGroupView\";class h extends i.ButtonGroup{constructor(t){super(t)}}o.CheckboxButtonGroup=h,n=h,h.__name__=\"CheckboxButtonGroup\",n.prototype.default_view=_,n.define((({Int:t,Array:e})=>({active:[e(t),[]]})))},\n 452: function _(t,e,n,s,i){s();const o=t(1);var r;const a=t(453),l=t(20),d=t(43),u=(0,o.__importStar)(t(318)),_=u;class c extends a.OrientedControlView{get default_size(){return\"horizontal\"==this.orientation?this.model.default_size:void 0}*controls(){yield*this._buttons}connect_signals(){super.connect_signals();const t=this.model.properties;this.on_change(t.button_type,(()=>this.render())),this.on_change(t.labels,(()=>this.render())),this.on_change(t.active,(()=>this._update_active()))}styles(){return[...super.styles(),u.default]}render(){super.render(),this._buttons=this.model.labels.map(((t,e)=>{const n=(0,d.div)({class:[_.btn,_[`btn_${this.model.button_type}`]],disabled:this.model.disabled},t);return n.addEventListener(\"click\",(()=>this.change_active(e))),n})),this._update_active();const t=\"horizontal\"==this.model.orientation?_.horizontal:_.vertical,e=(0,d.div)({class:[_.btn_group,t]},this._buttons);this.el.appendChild(e)}}n.ButtonGroupView=c,c.__name__=\"ButtonGroupView\";class h extends a.OrientedControl{constructor(t){super(t)}}n.ButtonGroup=h,r=h,h.__name__=\"ButtonGroup\",r.define((({String:t,Array:e})=>({labels:[e(t),[]],button_type:[l.ButtonType,\"default\"]})))},\n 453: function _(n,t,e,o,r){var i;o();const a=n(442),l=n(20);class s extends a.ControlView{get orientation(){return this.model.orientation}}e.OrientedControlView=s,s.__name__=\"OrientedControlView\";class _ extends a.Control{constructor(n){super(n)}}e.OrientedControl=_,i=_,_.__name__=\"OrientedControl\",i.define((()=>({orientation:[l.Orientation,\"horizontal\"]})))},\n 454: function _(e,t,n,i,s){i();const o=e(1);var a;const c=e(455),l=e(43),d=e(9),p=(0,o.__importStar)(e(449));class r extends c.InputGroupView{render(){super.render();const e=(0,l.div)({class:[p.input_group,this.model.inline?p.inline:null]});this.el.appendChild(e);const{active:t,labels:n}=this.model;this._inputs=[];for(let i=0;ithis.change_active(i))),this._inputs.push(s),this.model.disabled&&(s.disabled=!0),(0,d.includes)(t,i)&&(s.checked=!0);const o=(0,l.label)(s,(0,l.span)(n[i]));e.appendChild(o)}}change_active(e){const t=new Set(this.model.active);t.has(e)?t.delete(e):t.add(e),this.model.active=[...t].sort()}}n.CheckboxGroupView=r,r.__name__=\"CheckboxGroupView\";class h extends c.InputGroup{constructor(e){super(e)}}n.CheckboxGroup=h,a=h,h.__name__=\"CheckboxGroup\",a.prototype.default_view=r,a.define((({Boolean:e,Int:t,String:n,Array:i})=>({active:[i(t),[]],labels:[i(n),[]],inline:[e,!1]})))},\n 455: function _(n,t,e,s,o){s();const r=n(1),u=n(442),c=(0,r.__importDefault)(n(449));class _ extends u.ControlView{*controls(){yield*this._inputs}connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.render()))}styles(){return[...super.styles(),c.default]}}e.InputGroupView=_,_.__name__=\"InputGroupView\";class i extends u.Control{constructor(n){super(n)}}e.InputGroup=i,i.__name__=\"InputGroup\"},\n 456: function _(e,t,i,n,o){n();const s=e(1);var l;const r=e(448),c=e(43),a=e(22),d=(0,s.__importStar)(e(449));class h extends r.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,(()=>{var e;return this.input_el.name=null!==(e=this.model.name)&&void 0!==e?e:\"\"})),this.connect(this.model.properties.color.change,(()=>this.input_el.value=(0,a.color2hexrgb)(this.model.color))),this.connect(this.model.properties.disabled.change,(()=>this.input_el.disabled=this.model.disabled))}render(){super.render(),this.input_el=(0,c.input)({type:\"color\",class:d.input,name:this.model.name,value:this.model.color,disabled:this.model.disabled}),this.input_el.addEventListener(\"change\",(()=>this.change_input())),this.group_el.appendChild(this.input_el)}change_input(){this.model.color=this.input_el.value,super.change_input()}}i.ColorPickerView=h,h.__name__=\"ColorPickerView\";class p extends r.InputWidget{constructor(e){super(e)}}i.ColorPicker=p,l=p,p.__name__=\"ColorPicker\",l.prototype.default_view=h,l.define((({Color:e})=>({color:[e,\"#000000\"]})))},\n 457: function _(e,t,i,n,s){n();const a=e(1);var l;const o=(0,a.__importDefault)(e(458)),d=e(448),r=e(43),c=e(20),u=e(8),h=(0,a.__importStar)(e(449)),_=(0,a.__importDefault)(e(459));function p(e){const t=[];for(const i of e)if((0,u.isString)(i))t.push(i);else{const[e,n]=i;t.push({from:e,to:n})}return t}class m extends d.InputWidgetView{connect_signals(){super.connect_signals();const{value:e,min_date:t,max_date:i,disabled_dates:n,enabled_dates:s,position:a,inline:l}=this.model.properties;this.connect(e.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.setDate(this.model.value)})),this.connect(t.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"minDate\",this.model.min_date)})),this.connect(i.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"maxDate\",this.model.max_date)})),this.connect(n.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"disable\",this.model.disabled_dates)})),this.connect(s.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"enable\",this.model.enabled_dates)})),this.connect(a.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"position\",this.model.position)})),this.connect(l.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"inline\",this.model.inline)}))}remove(){var e;null===(e=this._picker)||void 0===e||e.destroy(),super.remove()}styles(){return[...super.styles(),_.default]}render(){var e,t;null==this._picker&&(super.render(),this.input_el=(0,r.input)({type:\"text\",class:h.input,disabled:this.model.disabled}),this.group_el.appendChild(this.input_el),this._picker=(0,o.default)(this.input_el,{defaultDate:this.model.value,minDate:null!==(e=this.model.min_date)&&void 0!==e?e:void 0,maxDate:null!==(t=this.model.max_date)&&void 0!==t?t:void 0,inline:this.model.inline,position:this.model.position,disable:p(this.model.disabled_dates),enable:p(this.model.enabled_dates),onChange:(e,t,i)=>this._on_change(e,t,i)}))}_on_change(e,t,i){this.model.value=t,this.change_input()}}i.DatePickerView=m,m.__name__=\"DatePickerView\";class v extends d.InputWidget{constructor(e){super(e)}}i.DatePicker=v,l=v,v.__name__=\"DatePicker\",l.prototype.default_view=m,l.define((({Boolean:e,String:t,Array:i,Tuple:n,Or:s,Nullable:a})=>{const l=i(s(t,n(t,t)));return{value:[t],min_date:[a(t),null],max_date:[a(t),null],disabled_dates:[l,[]],enabled_dates:[l,[]],position:[c.CalendarPosition,\"auto\"],inline:[e,!1]}}))},\n 458: function _(e,n,t,a,i){\n /* flatpickr v4.6.6, @license MIT */var o,r;o=this,r=function(){\"use strict\";\n /*! *****************************************************************************\n Copyright (c) Microsoft Corporation.\n \n Permission to use, copy, modify, and/or distribute this software for any\n purpose with or without fee is hereby granted.\n \n THE SOFTWARE IS PROVIDED \"AS IS\" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH\n REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY\n AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT,\n INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM\n LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR\n OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR\n PERFORMANCE OF THIS SOFTWARE.\n ***************************************************************************** */var e=function(){return e=Object.assign||function(e){for(var n,t=1,a=arguments.length;t\",noCalendar:!1,now:new Date,onChange:[],onClose:[],onDayCreate:[],onDestroy:[],onKeyDown:[],onMonthChange:[],onOpen:[],onParseConfig:[],onReady:[],onValueUpdate:[],onYearChange:[],onPreCalendarPosition:[],plugins:[],position:\"auto\",positionElement:void 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0,!0).getTime(),a=Math.min(n,w.selectedDates[0].getTime()),i=Math.max(n,w.selectedDates[0].getTime()),o=!1,r=0,l=0,c=a;ca&&cr)?r=c:c>t&&(!l||c0&&m0&&m>l;return g?(f.classList.add(\"notAllowed\"),[\"inRange\",\"startRange\",\"endRange\"].forEach((function(e){f.classList.remove(e)})),\"continue\"):o&&!g?\"continue\":([\"startRange\",\"inRange\",\"endRange\",\"notAllowed\"].forEach((function(e){f.classList.remove(e)})),void(void 0!==e&&(e.classList.add(n<=w.selectedDates[0].getTime()?\"startRange\":\"endRange\"),tn&&m===t&&f.classList.add(\"endRange\"),m>=r&&(0===l||m<=l)&&(d=t,u=n,(c=m)>Math.min(d,u)&&c0||t.getMinutes()>0||t.getSeconds()>0),w.selectedDates&&(w.selectedDates=w.selectedDates.filter((function(e){return X(e)})),w.selectedDates.length||\"min\"!==e||S(t),be()),w.daysContainer&&(de(),void 0!==t?w.currentYearElement[e]=t.getFullYear().toString():w.currentYearElement.removeAttribute(e),w.currentYearElement.disabled=!!a&&void 0!==t&&a.getFullYear()===t.getFullYear())}}function re(){return w.config.wrap?p.querySelector(\"[data-input]\"):p}function le(){\"object\"!=typeof w.config.locale&&void 0===k.l10ns[w.config.locale]&&w.config.errorHandler(new Error(\"flatpickr: invalid locale \"+w.config.locale)),w.l10n=e(e({},k.l10ns.default),\"object\"==typeof w.config.locale?w.config.locale:\"default\"!==w.config.locale?k.l10ns[w.config.locale]:void 0),D.K=\"(\"+w.l10n.amPM[0]+\"|\"+w.l10n.amPM[1]+\"|\"+w.l10n.amPM[0].toLowerCase()+\"|\"+w.l10n.amPM[1].toLowerCase()+\")\",void 0===e(e({},v),JSON.parse(JSON.stringify(p.dataset||{}))).time_24hr&&void 0===k.defaultConfig.time_24hr&&(w.config.time_24hr=w.l10n.time_24hr),w.formatDate=b(w),w.parseDate=C({config:w.config,l10n:w.l10n})}function ce(e){if(void 0!==w.calendarContainer){pe(\"onPreCalendarPosition\");var n=e||w._positionElement,t=Array.prototype.reduce.call(w.calendarContainer.children,(function(e,n){return e+n.offsetHeight}),0),a=w.calendarContainer.offsetWidth,i=w.config.position.split(\" \"),o=i[0],r=i.length>1?i[1]:null,l=n.getBoundingClientRect(),c=window.innerHeight-l.bottom,s=\"above\"===o||\"below\"!==o&&ct,u=window.pageYOffset+l.top+(s?-t-2:n.offsetHeight+2);if(d(w.calendarContainer,\"arrowTop\",!s),d(w.calendarContainer,\"arrowBottom\",s),!w.config.inline){var f=window.pageXOffset+l.left,m=!1,g=!1;\"center\"===r?(f-=(a-l.width)/2,m=!0):\"right\"===r&&(f-=a-l.width,g=!0),d(w.calendarContainer,\"arrowLeft\",!m&&!g),d(w.calendarContainer,\"arrowCenter\",m),d(w.calendarContainer,\"arrowRight\",g);var p=window.document.body.offsetWidth-(window.pageXOffset+l.right),h=f+a>window.document.body.offsetWidth,v=p+a>window.document.body.offsetWidth;if(d(w.calendarContainer,\"rightMost\",h),!w.config.static)if(w.calendarContainer.style.top=u+\"px\",h)if(v){var D=function(){for(var e=null,n=0;nw.currentMonth+w.config.showMonths-1)&&\"range\"!==w.config.mode;if(w.selectedDateElem=t,\"single\"===w.config.mode)w.selectedDates=[a];else if(\"multiple\"===w.config.mode){var o=ve(a);o?w.selectedDates.splice(parseInt(o),1):w.selectedDates.push(a)}else\"range\"===w.config.mode&&(2===w.selectedDates.length&&w.clear(!1,!1),w.latestSelectedDateObj=a,w.selectedDates.push(a),0!==M(a,w.selectedDates[0],!0)&&w.selectedDates.sort((function(e,n){return e.getTime()-n.getTime()})));if(I(),i){var r=w.currentYear!==a.getFullYear();w.currentYear=a.getFullYear(),w.currentMonth=a.getMonth(),r&&(pe(\"onYearChange\"),K()),pe(\"onMonthChange\")}if(De(),J(),be(),i||\"range\"===w.config.mode||1!==w.config.showMonths?void 0!==w.selectedDateElem&&void 0===w.hourElement&&w.selectedDateElem&&w.selectedDateElem.focus():L(t),void 0!==w.hourElement&&void 0!==w.hourElement&&w.hourElement.focus(),w.config.closeOnSelect){var l=\"single\"===w.config.mode&&!w.config.enableTime,c=\"range\"===w.config.mode&&2===w.selectedDates.length&&!w.config.enableTime;(l||c)&&se()}A()}}w.parseDate=C({config:w.config,l10n:w.l10n}),w._handlers=[],w.pluginElements=[],w.loadedPlugins=[],w._bind=N,w._setHoursFromDate=S,w._positionCalendar=ce,w.changeMonth=G,w.changeYear=Q,w.clear=function(e,n){if(void 0===e&&(e=!0),void 0===n&&(n=!0),w.input.value=\"\",void 0!==w.altInput&&(w.altInput.value=\"\"),void 0!==w.mobileInput&&(w.mobileInput.value=\"\"),w.selectedDates=[],w.latestSelectedDateObj=void 0,!0===n&&(w.currentYear=w._initialDate.getFullYear(),w.currentMonth=w._initialDate.getMonth()),!0===w.config.enableTime){var t=_(),a=t.hours,i=t.minutes,o=t.seconds;O(a,i,o)}w.redraw(),e&&pe(\"onChange\")},w.close=function(){w.isOpen=!1,w.isMobile||(void 0!==w.calendarContainer&&w.calendarContainer.classList.remove(\"open\"),void 0!==w._input&&w._input.classList.remove(\"active\")),pe(\"onClose\")},w._createElement=s,w.destroy=function(){void 0!==w.config&&pe(\"onDestroy\");for(var e=w._handlers.length;e--;){var n=w._handlers[e];n.element.removeEventListener(n.event,n.handler,n.options)}if(w._handlers=[],w.mobileInput)w.mobileInput.parentNode&&w.mobileInput.parentNode.removeChild(w.mobileInput),w.mobileInput=void 0;else if(w.calendarContainer&&w.calendarContainer.parentNode)if(w.config.static&&w.calendarContainer.parentNode){var t=w.calendarContainer.parentNode;if(t.lastChild&&t.removeChild(t.lastChild),t.parentNode){for(;t.firstChild;)t.parentNode.insertBefore(t.firstChild,t);t.parentNode.removeChild(t)}}else w.calendarContainer.parentNode.removeChild(w.calendarContainer);w.altInput&&(w.input.type=\"text\",w.altInput.parentNode&&w.altInput.parentNode.removeChild(w.altInput),delete w.altInput),w.input&&(w.input.type=w.input._type,w.input.classList.remove(\"flatpickr-input\"),w.input.removeAttribute(\"readonly\")),[\"_showTimeInput\",\"latestSelectedDateObj\",\"_hideNextMonthArrow\",\"_hidePrevMonthArrow\",\"__hideNextMonthArrow\",\"__hidePrevMonthArrow\",\"isMobile\",\"isOpen\",\"selectedDateElem\",\"minDateHasTime\",\"maxDateHasTime\",\"days\",\"daysContainer\",\"_input\",\"_positionElement\",\"innerContainer\",\"rContainer\",\"monthNav\",\"todayDateElem\",\"calendarContainer\",\"weekdayContainer\",\"prevMonthNav\",\"nextMonthNav\",\"monthsDropdownContainer\",\"currentMonthElement\",\"currentYearElement\",\"navigationCurrentMonth\",\"selectedDateElem\",\"config\"].forEach((function(e){try{delete w[e]}catch(e){}}))},w.isEnabled=X,w.jumpToDate=P,w.open=function(e,n){if(void 0===n&&(n=w._positionElement),!0===w.isMobile){if(e){e.preventDefault();var t=g(e);t&&t.blur()}return void 0!==w.mobileInput&&(w.mobileInput.focus(),w.mobileInput.click()),void pe(\"onOpen\")}if(!w._input.disabled&&!w.config.inline){var a=w.isOpen;w.isOpen=!0,a||(w.calendarContainer.classList.add(\"open\"),w._input.classList.add(\"active\"),pe(\"onOpen\"),ce(n)),!0===w.config.enableTime&&!0===w.config.noCalendar&&(!1!==w.config.allowInput||void 0!==e&&w.timeContainer.contains(e.relatedTarget)||setTimeout((function(){return w.hourElement.select()}),50))}},w.redraw=de,w.set=function(e,n){if(null!==e&&\"object\"==typeof e)for(var a in Object.assign(w.config,e),e)void 0!==fe[a]&&fe[a].forEach((function(e){return e()}));else w.config[e]=n,void 0!==fe[e]?fe[e].forEach((function(e){return e()})):t.indexOf(e)>-1&&(w.config[e]=c(n));w.redraw(),be(!0)},w.setDate=function(e,n,t){if(void 0===n&&(n=!1),void 0===t&&(t=w.config.dateFormat),0!==e&&!e||e instanceof Array&&0===e.length)return w.clear(n);me(e,t),w.latestSelectedDateObj=w.selectedDates[w.selectedDates.length-1],w.redraw(),P(void 0,n),S(),0===w.selectedDates.length&&w.clear(!1),be(n),n&&pe(\"onChange\")},w.toggle=function(e){if(!0===w.isOpen)return w.close();w.open(e)};var fe={locale:[le,z],showMonths:[q,E,$],minDate:[P],maxDate:[P]};function me(e,n){var t=[];if(e instanceof Array)t=e.map((function(e){return w.parseDate(e,n)}));else if(e instanceof Date||\"number\"==typeof e)t=[w.parseDate(e,n)];else if(\"string\"==typeof e)switch(w.config.mode){case\"single\":case\"time\":t=[w.parseDate(e,n)];break;case\"multiple\":t=e.split(w.config.conjunction).map((function(e){return w.parseDate(e,n)}));break;case\"range\":t=e.split(w.l10n.rangeSeparator).map((function(e){return w.parseDate(e,n)}))}else w.config.errorHandler(new Error(\"Invalid date supplied: \"+JSON.stringify(e)));w.selectedDates=w.config.allowInvalidPreload?t:t.filter((function(e){return e instanceof Date&&X(e,!1)})),\"range\"===w.config.mode&&w.selectedDates.sort((function(e,n){return e.getTime()-n.getTime()}))}function ge(e){return e.slice().map((function(e){return\"string\"==typeof e||\"number\"==typeof e||e instanceof Date?w.parseDate(e,void 0,!0):e&&\"object\"==typeof e&&e.from&&e.to?{from:w.parseDate(e.from,void 0),to:w.parseDate(e.to,void 0)}:e})).filter((function(e){return e}))}function pe(e,n){if(void 0!==w.config){var t=w.config[e];if(void 0!==t&&t.length>0)for(var a=0;t[a]&&a1||\"static\"===w.config.monthSelectorType?w.monthElements[n].textContent=h(t.getMonth(),w.config.shorthandCurrentMonth,w.l10n)+\" \":w.monthsDropdownContainer.value=t.getMonth().toString(),e.value=t.getFullYear().toString()})),w._hidePrevMonthArrow=void 0!==w.config.minDate&&(w.currentYear===w.config.minDate.getFullYear()?w.currentMonth<=w.config.minDate.getMonth():w.currentYearw.config.maxDate.getMonth():w.currentYear>w.config.maxDate.getFullYear()))}function we(e){return w.selectedDates.map((function(n){return w.formatDate(n,e)})).filter((function(e,n,t){return\"range\"!==w.config.mode||w.config.enableTime||t.indexOf(e)===n})).join(\"range\"!==w.config.mode?w.config.conjunction:w.l10n.rangeSeparator)}function be(e){void 0===e&&(e=!0),void 0!==w.mobileInput&&w.mobileFormatStr&&(w.mobileInput.value=void 0!==w.latestSelectedDateObj?w.formatDate(w.latestSelectedDateObj,w.mobileFormatStr):\"\"),w.input.value=we(w.config.dateFormat),void 0!==w.altInput&&(w.altInput.value=we(w.config.altFormat)),!1!==e&&pe(\"onValueUpdate\")}function Ce(e){var n=g(e),t=w.prevMonthNav.contains(n),a=w.nextMonthNav.contains(n);t||a?G(t?-1:1):w.yearElements.indexOf(n)>=0?n.select():n.classList.contains(\"arrowUp\")?w.changeYear(w.currentYear+1):n.classList.contains(\"arrowDown\")&&w.changeYear(w.currentYear-1)}return function(){w.element=w.input=p,w.isOpen=!1,function(){var n=[\"wrap\",\"weekNumbers\",\"allowInput\",\"allowInvalidPreload\",\"clickOpens\",\"time_24hr\",\"enableTime\",\"noCalendar\",\"altInput\",\"shorthandCurrentMonth\",\"inline\",\"static\",\"enableSeconds\",\"disableMobile\"],i=e(e({},JSON.parse(JSON.stringify(p.dataset||{}))),v),o={};w.config.parseDate=i.parseDate,w.config.formatDate=i.formatDate,Object.defineProperty(w.config,\"enable\",{get:function(){return w.config._enable},set:function(e){w.config._enable=ge(e)}}),Object.defineProperty(w.config,\"disable\",{get:function(){return w.config._disable},set:function(e){w.config._disable=ge(e)}});var r=\"time\"===i.mode;if(!i.dateFormat&&(i.enableTime||r)){var l=k.defaultConfig.dateFormat||a.dateFormat;o.dateFormat=i.noCalendar||r?\"H:i\"+(i.enableSeconds?\":S\":\"\"):l+\" H:i\"+(i.enableSeconds?\":S\":\"\")}if(i.altInput&&(i.enableTime||r)&&!i.altFormat){var d=k.defaultConfig.altFormat||a.altFormat;o.altFormat=i.noCalendar||r?\"h:i\"+(i.enableSeconds?\":S K\":\" K\"):d+\" h:i\"+(i.enableSeconds?\":S\":\"\")+\" K\"}Object.defineProperty(w.config,\"minDate\",{get:function(){return w.config._minDate},set:oe(\"min\")}),Object.defineProperty(w.config,\"maxDate\",{get:function(){return w.config._maxDate},set:oe(\"max\")});var s=function(e){return function(n){w.config[\"min\"===e?\"_minTime\":\"_maxTime\"]=w.parseDate(n,\"H:i:S\")}};Object.defineProperty(w.config,\"minTime\",{get:function(){return w.config._minTime},set:s(\"min\")}),Object.defineProperty(w.config,\"maxTime\",{get:function(){return w.config._maxTime},set:s(\"max\")}),\"time\"===i.mode&&(w.config.noCalendar=!0,w.config.enableTime=!0),Object.assign(w.config,o,i);for(var u=0;u-1?w.config[m]=c(f[m]).map(x).concat(w.config[m]):void 0===i[m]&&(w.config[m]=f[m])}i.altInputClass||(w.config.altInputClass=re().className+\" \"+w.config.altInputClass),pe(\"onParseConfig\")}(),le(),w.input=re(),w.input?(w.input._type=w.input.type,w.input.type=\"text\",w.input.classList.add(\"flatpickr-input\"),w._input=w.input,w.config.altInput&&(w.altInput=s(w.input.nodeName,w.config.altInputClass),w._input=w.altInput,w.altInput.placeholder=w.input.placeholder,w.altInput.disabled=w.input.disabled,w.altInput.required=w.input.required,w.altInput.tabIndex=w.input.tabIndex,w.altInput.type=\"text\",w.input.setAttribute(\"type\",\"hidden\"),!w.config.static&&w.input.parentNode&&w.input.parentNode.insertBefore(w.altInput,w.input.nextSibling)),w.config.allowInput||w._input.setAttribute(\"readonly\",\"readonly\"),w._positionElement=w.config.positionElement||w._input):w.config.errorHandler(new Error(\"Invalid input element specified\")),function(){w.selectedDates=[],w.now=w.parseDate(w.config.now)||new Date;var e=w.config.defaultDate||(\"INPUT\"!==w.input.nodeName&&\"TEXTAREA\"!==w.input.nodeName||!w.input.placeholder||w.input.value!==w.input.placeholder?w.input.value:null);e&&me(e,w.config.dateFormat),w._initialDate=w.selectedDates.length>0?w.selectedDates[0]:w.config.minDate&&w.config.minDate.getTime()>w.now.getTime()?w.config.minDate:w.config.maxDate&&w.config.maxDate.getTime()0&&(w.latestSelectedDateObj=w.selectedDates[0]),void 0!==w.config.minTime&&(w.config.minTime=w.parseDate(w.config.minTime,\"H:i\")),void 0!==w.config.maxTime&&(w.config.maxTime=w.parseDate(w.config.maxTime,\"H:i\")),w.minDateHasTime=!!w.config.minDate&&(w.config.minDate.getHours()>0||w.config.minDate.getMinutes()>0||w.config.minDate.getSeconds()>0),w.maxDateHasTime=!!w.config.maxDate&&(w.config.maxDate.getHours()>0||w.config.maxDate.getMinutes()>0||w.config.maxDate.getSeconds()>0)}(),w.utils={getDaysInMonth:function(e,n){return void 0===e&&(e=w.currentMonth),void 0===n&&(n=w.currentYear),1===e&&(n%4==0&&n%100!=0||n%400==0)?29:w.l10n.daysInMonth[e]}},w.isMobile||function(){var e=window.document.createDocumentFragment();if(w.calendarContainer=s(\"div\",\"flatpickr-calendar\"),w.calendarContainer.tabIndex=-1,!w.config.noCalendar){if(e.appendChild((w.monthNav=s(\"div\",\"flatpickr-months\"),w.yearElements=[],w.monthElements=[],w.prevMonthNav=s(\"span\",\"flatpickr-prev-month\"),w.prevMonthNav.innerHTML=w.config.prevArrow,w.nextMonthNav=s(\"span\",\"flatpickr-next-month\"),w.nextMonthNav.innerHTML=w.config.nextArrow,q(),Object.defineProperty(w,\"_hidePrevMonthArrow\",{get:function(){return w.__hidePrevMonthArrow},set:function(e){w.__hidePrevMonthArrow!==e&&(d(w.prevMonthNav,\"flatpickr-disabled\",e),w.__hidePrevMonthArrow=e)}}),Object.defineProperty(w,\"_hideNextMonthArrow\",{get:function(){return w.__hideNextMonthArrow},set:function(e){w.__hideNextMonthArrow!==e&&(d(w.nextMonthNav,\"flatpickr-disabled\",e),w.__hideNextMonthArrow=e)}}),w.currentYearElement=w.yearElements[0],De(),w.monthNav)),w.innerContainer=s(\"div\",\"flatpickr-innerContainer\"),w.config.weekNumbers){var n=function(){w.calendarContainer.classList.add(\"hasWeeks\");var e=s(\"div\",\"flatpickr-weekwrapper\");e.appendChild(s(\"span\",\"flatpickr-weekday\",w.l10n.weekAbbreviation));var n=s(\"div\",\"flatpickr-weeks\");return e.appendChild(n),{weekWrapper:e,weekNumbers:n}}(),t=n.weekWrapper,a=n.weekNumbers;w.innerContainer.appendChild(t),w.weekNumbers=a,w.weekWrapper=t}w.rContainer=s(\"div\",\"flatpickr-rContainer\"),w.rContainer.appendChild($()),w.daysContainer||(w.daysContainer=s(\"div\",\"flatpickr-days\"),w.daysContainer.tabIndex=-1),J(),w.rContainer.appendChild(w.daysContainer),w.innerContainer.appendChild(w.rContainer),e.appendChild(w.innerContainer)}w.config.enableTime&&e.appendChild(function(){w.calendarContainer.classList.add(\"hasTime\"),w.config.noCalendar&&w.calendarContainer.classList.add(\"noCalendar\"),w.timeContainer=s(\"div\",\"flatpickr-time\"),w.timeContainer.tabIndex=-1;var e=s(\"span\",\"flatpickr-time-separator\",\":\"),n=m(\"flatpickr-hour\",{\"aria-label\":w.l10n.hourAriaLabel});w.hourElement=n.getElementsByTagName(\"input\")[0];var t=m(\"flatpickr-minute\",{\"aria-label\":w.l10n.minuteAriaLabel});if(w.minuteElement=t.getElementsByTagName(\"input\")[0],w.hourElement.tabIndex=w.minuteElement.tabIndex=-1,w.hourElement.value=o(w.latestSelectedDateObj?w.latestSelectedDateObj.getHours():w.config.time_24hr?w.config.defaultHour:function(e){switch(e%24){case 0:case 12:return 12;default:return e%12}}(w.config.defaultHour)),w.minuteElement.value=o(w.latestSelectedDateObj?w.latestSelectedDateObj.getMinutes():w.config.defaultMinute),w.hourElement.setAttribute(\"step\",w.config.hourIncrement.toString()),w.minuteElement.setAttribute(\"step\",w.config.minuteIncrement.toString()),w.hourElement.setAttribute(\"min\",w.config.time_24hr?\"0\":\"1\"),w.hourElement.setAttribute(\"max\",w.config.time_24hr?\"23\":\"12\"),w.minuteElement.setAttribute(\"min\",\"0\"),w.minuteElement.setAttribute(\"max\",\"59\"),w.timeContainer.appendChild(n),w.timeContainer.appendChild(e),w.timeContainer.appendChild(t),w.config.time_24hr&&w.timeContainer.classList.add(\"time24hr\"),w.config.enableSeconds){w.timeContainer.classList.add(\"hasSeconds\");var a=m(\"flatpickr-second\");w.secondElement=a.getElementsByTagName(\"input\")[0],w.secondElement.value=o(w.latestSelectedDateObj?w.latestSelectedDateObj.getSeconds():w.config.defaultSeconds),w.secondElement.setAttribute(\"step\",w.minuteElement.getAttribute(\"step\")),w.secondElement.setAttribute(\"min\",\"0\"),w.secondElement.setAttribute(\"max\",\"59\"),w.timeContainer.appendChild(s(\"span\",\"flatpickr-time-separator\",\":\")),w.timeContainer.appendChild(a)}return w.config.time_24hr||(w.amPM=s(\"span\",\"flatpickr-am-pm\",w.l10n.amPM[r((w.latestSelectedDateObj?w.hourElement.value:w.config.defaultHour)>11)]),w.amPM.title=w.l10n.toggleTitle,w.amPM.tabIndex=-1,w.timeContainer.appendChild(w.amPM)),w.timeContainer}()),d(w.calendarContainer,\"rangeMode\",\"range\"===w.config.mode),d(w.calendarContainer,\"animate\",!0===w.config.animate),d(w.calendarContainer,\"multiMonth\",w.config.showMonths>1),w.calendarContainer.appendChild(e);var i=void 0!==w.config.appendTo&&void 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tt(t,e){e.handle&&(d(e.handle,r.cssClasses.active),M-=1),e.listeners.forEach((function(t){D.removeEventListener(t[0],t[1])})),0===M&&(d(w,r.cssClasses.drag),pt(),t.cursor&&(O.style.cursor=\"\",O.removeEventListener(\"selectstart\",s))),e.handleNumbers.forEach((function(t){st(\"change\",t),st(\"set\",t),st(\"end\",t)}))}function et(t,e){if(!e.handleNumbers.some(R)){var n;1===e.handleNumbers.length&&(n=p[e.handleNumbers[0]].children[0],M+=1,f(n,r.cssClasses.active)),t.stopPropagation();var 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at(t,e,n,i,o,s){var a;return p.length>1&&!r.events.unconstrained&&(i&&e>0&&(a=C.getAbsoluteDistance(t[e-1],r.margin,!1),n=Math.max(n,a)),o&&e1&&r.limit&&(i&&e>0&&(a=C.getAbsoluteDistance(t[e-1],r.limit,!1),n=Math.min(n,a)),o&&e1?n.forEach((function(t,r){var n=at(o,t,o[t]+e,a[r],l[r],!1);!1===n?e=0:(e=n-o[t],o[t]=n)})):a=l=[!0];var u=!1;n.forEach((function(t,n){u=ft(t,r[t]+e,a[n],l[n])||u})),u&&(n.forEach((function(t){st(\"update\",t),st(\"slide\",t)})),null!=i&&st(\"drag\",s))}function ct(t,e){return r.dir?100-t-e:t}function pt(){k.forEach((function(t){var e=V[t]>50?-1:1,r=3+(p.length+e*t);p[t].style.zIndex=String(r)}))}function ft(t,e,n,i,o){return o||(e=at(V,t,e,n,i,!1)),!1!==e&&(function(t,e){V[t]=e,N[t]=C.fromStepping(e);var n=\"translate(\"+lt(10*(ct(e,0)-L)+\"%\",\"0\")+\")\";p[t].style[r.transformRule]=n,dt(t),dt(t+1)}(t,e),!0)}function dt(t){if(m[t]){var e=0,n=100;0!==t&&(e=V[t-1]),t!==m.length-1&&(n=V[t]);var 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null!==o&&!1!==o&&(o=Number(o.toFixed(a))),null!==s&&!1!==s&&(s=Number(s.toFixed(a))),[s,o]}f(b=w,r.cssClasses.target),0===r.dir?f(b,r.cssClasses.ltr):f(b,r.cssClasses.rtl),0===r.ort?f(b,r.cssClasses.horizontal):f(b,r.cssClasses.vertical),f(b,\"rtl\"===getComputedStyle(b).direction?r.cssClasses.textDirectionRtl:r.cssClasses.textDirectionLtr),a=T(b,r.cssClasses.base),function(t,e){var n=T(e,r.cssClasses.connects);p=[],(m=[]).push(z(n,t[0]));for(var i=0;i=0&&t .noUi-tooltip{-webkit-transform:translate(50%, 0);transform:translate(50%, 0);left:auto;bottom:10px;}.bk-root .noUi-vertical .noUi-origin > .noUi-tooltip{-webkit-transform:translate(0, -18px);transform:translate(0, -18px);top:auto;right:28px;}.bk-root .noUi-handle{cursor:grab;cursor:-webkit-grab;}.bk-root .noUi-handle.noUi-active{cursor:grabbing;cursor:-webkit-grabbing;}.bk-root .noUi-handle:after,.bk-root .noUi-handle:before{display:none;}.bk-root .noUi-tooltip{display:none;white-space:nowrap;}.bk-root .noUi-handle:hover .noUi-tooltip{display:block;}.bk-root .noUi-horizontal{width:100%;height:10px;}.bk-root .noUi-vertical{width:10px;height:100%;}.bk-root .noUi-horizontal .noUi-handle{width:14px;height:18px;right:-7px;top:-5px;}.bk-root .noUi-vertical .noUi-handle{width:18px;height:14px;right:-5px;top:-7px;}.bk-root .noUi-target.noUi-horizontal{margin:5px 0px;}.bk-root .noUi-target.noUi-vertical{margin:0px 5px;}'},\n 465: function _(e,t,r,a,i){a();var s;const d=(0,e(1).__importDefault)(e(151)),o=e(461),_=e(8);class n extends o.AbstractSliderView{}r.DateSliderView=n,n.__name__=\"DateSliderView\";class c extends o.AbstractSlider{constructor(e){super(e),this.behaviour=\"tap\",this.connected=[!0,!1]}_formatter(e,t){return(0,_.isString)(t)?(0,d.default)(e,t):t.compute(e)}}r.DateSlider=c,s=c,c.__name__=\"DateSlider\",s.prototype.default_view=n,s.override({format:\"%d %b %Y\"})},\n 466: function _(e,t,r,a,i){a();var n;const s=(0,e(1).__importDefault)(e(151)),d=e(461),o=e(8);class _ extends d.AbstractRangeSliderView{}r.DatetimeRangeSliderView=_,_.__name__=\"DatetimeRangeSliderView\";class c extends d.AbstractSlider{constructor(e){super(e),this.behaviour=\"drag\",this.connected=[!1,!0,!1]}_formatter(e,t){return(0,o.isString)(t)?(0,s.default)(e,t):t.compute(e)}}r.DatetimeRangeSlider=c,n=c,c.__name__=\"DatetimeRangeSlider\",n.prototype.default_view=_,n.override({format:\"%d %b %Y %H:%M:%S\",step:36e5})},\n 467: function _(e,t,s,r,i){var _;r();const n=e(468);class a extends n.MarkupView{render(){super.render(),this.model.render_as_text?this.markup_el.textContent=this.model.text:this.markup_el.innerHTML=this.has_math_disabled()?this.model.text:this.process_tex()}}s.DivView=a,a.__name__=\"DivView\";class d extends n.Markup{constructor(e){super(e)}}s.Div=d,_=d,d.__name__=\"Div\",_.prototype.default_view=a,_.define((({Boolean:e})=>({render_as_text:[e,!1]})))},\n 468: function _(t,e,s,i,r){i();const a=t(1);var n;const o=t(210),d=t(43),h=t(137),l=t(512),_=(0,a.__importStar)(t(469));class u extends l.WidgetView{get provider(){return h.default_provider}async lazy_initialize(){await super.lazy_initialize(),\"not_started\"==this.provider.status&&await this.provider.fetch(),\"not_started\"!=this.provider.status&&\"loading\"!=this.provider.status||this.provider.ready.connect((()=>{this.contains_tex_string()&&this.rerender()}))}after_layout(){super.after_layout(),\"loading\"===this.provider.status&&(this._has_finished=!1)}rerender(){this.layout.invalidate_cache(),this.render(),this.root.compute_layout()}connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>{this.rerender()}))}styles(){return[...super.styles(),_.default]}_update_layout(){this.layout=new o.CachedVariadicBox(this.el),this.layout.set_sizing(this.box_sizing())}render(){super.render();const t=Object.assign(Object.assign({},this.model.style),{display:\"inline-block\"});this.markup_el=(0,d.div)({class:_.clearfix,style:t}),this.el.appendChild(this.markup_el),\"failed\"!=this.provider.status&&\"loaded\"!=this.provider.status||(this._has_finished=!0)}has_math_disabled(){return this.model.disable_math||!this.contains_tex_string()}process_tex(){if(!this.provider.MathJax)return this.model.text;const{text:t}=this.model,e=this.provider.MathJax.find_tex(t),s=[];let i=0;for(const r of e)s.push(t.slice(i,r.start.n)),s.push(this.provider.MathJax.tex2svg(r.math,{display:r.display}).outerHTML),i=r.end.n;return i0}}s.MarkupView=u,u.__name__=\"MarkupView\";class p extends l.Widget{constructor(t){super(t)}}s.Markup=p,n=p,p.__name__=\"Markup\",n.define((({Boolean:t,String:e,Dict:s})=>({text:[e,\"\"],style:[s(e),{}],disable_math:[t,!1]})))},\n 469: function _(o,r,e,t,a){t(),e.root=\"bk-root\",e.clearfix=\"bk-clearfix\",e.default='.bk-root .bk-clearfix:before,.bk-root 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n.addEventListener(\"click\",(()=>this._item_click(t))),n}}));this.menu=(0,_.div)({class:[m.menu,m.below]},t),this.el.appendChild(this.menu),(0,_.undisplay)(this.menu)}_show_menu(){if(!this._open){this._open=!0,(0,_.display)(this.menu);const e=t=>{const{target:i}=t;i instanceof HTMLElement&&!this.el.contains(i)&&(document.removeEventListener(\"click\",e),this._hide_menu())};document.addEventListener(\"click\",e)}}_hide_menu(){this._open&&(this._open=!1,(0,_.undisplay)(this.menu))}_toggle_menu(){this._open?this._hide_menu():this._show_menu()}click(){this.model.is_split?(this._hide_menu(),this.model.trigger_event(new d.ButtonClick),super.click()):this._toggle_menu()}_item_click(e){this._hide_menu();const t=this.model.menu[e];if(null!=t){const i=(0,u.isString)(t)?t:t[1];(0,u.isString)(i)?this.model.trigger_event(new d.MenuItemClick(i)):i.execute(this.model,{index:e})}}}i.DropdownView=p,p.__name__=\"DropdownView\";class a extends r.AbstractButton{constructor(e){super(e)}get is_split(){return this.split}}i.Dropdown=a,l=a,a.__name__=\"Dropdown\",l.prototype.default_view=p,l.define((({Null:e,Boolean:t,String:i,Array:n,Tuple:s,Or:o})=>({split:[t,!1],menu:[n(o(i,s(i,o(i)),e)),[]]}))),l.override({label:\"Dropdown\"})},\n 471: function _(e,l,i,t,s){var n;t();const a=e(43),o=e(512);class d extends o.WidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.render()))}render(){const{multiple:e,accept:l,disabled:i,width:t}=this.model;null==this.dialog_el&&(this.dialog_el=(0,a.input)({type:\"file\",multiple:e}),this.dialog_el.onchange=()=>{const{files:e}=this.dialog_el;null!=e&&this.load_files(e)},this.el.appendChild(this.dialog_el)),null!=l&&\"\"!=l&&(this.dialog_el.accept=l),this.dialog_el.style.width=`${t}px`,this.dialog_el.disabled=i}async load_files(e){const l=[],i=[],t=[];for(const s of e){const e=await this._read_file(s),[,n=\"\",,a=\"\"]=e.split(/[:;,]/,4);l.push(a),i.push(s.name),t.push(n)}this.model.multiple?this.model.setv({value:l,filename:i,mime_type:t}):this.model.setv({value:l[0],filename:i[0],mime_type:t[0]})}_read_file(e){return new Promise(((l,i)=>{const t=new FileReader;t.onload=()=>{var s;const{result:n}=t;null!=n?l(n):i(null!==(s=t.error)&&void 0!==s?s:new Error(`unable to read '${e.name}'`))},t.readAsDataURL(e)}))}}i.FileInputView=d,d.__name__=\"FileInputView\";class r extends o.Widget{constructor(e){super(e)}}i.FileInput=r,n=r,r.__name__=\"FileInput\",n.prototype.default_view=d,n.define((({Boolean:e,String:l,Array:i,Or:t})=>({value:[t(l,i(l)),\"\"],mime_type:[t(l,i(l)),\"\"],filename:[t(l,i(l)),\"\"],accept:[l,\"\"],multiple:[e,!1]})))},\n 472: function _(e,t,i,s,n){s();const l=e(1);var o;const r=e(43),c=e(8),h=e(448),p=(0,l.__importStar)(e(449));class d extends h.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.value.change,(()=>this.render_selection())),this.connect(this.model.properties.options.change,(()=>this.render())),this.connect(this.model.properties.name.change,(()=>this.render())),this.connect(this.model.properties.title.change,(()=>this.render())),this.connect(this.model.properties.size.change,(()=>this.render())),this.connect(this.model.properties.disabled.change,(()=>this.render()))}render(){super.render();const e=this.model.options.map((e=>{let t,i;return(0,c.isString)(e)?t=i=e:[t,i]=e,(0,r.option)({value:t},i)}));this.input_el=(0,r.select)({multiple:!0,class:p.input,name:this.model.name,disabled:this.model.disabled},e),this.input_el.addEventListener(\"change\",(()=>this.change_input())),this.group_el.appendChild(this.input_el),this.render_selection()}render_selection(){const e=new Set(this.model.value);for(const t of 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p.Markup{constructor(e){super(e)}}r.Paragraph=h,n=h,h.__name__=\"Paragraph\",n.prototype.default_view=i},\n 474: function _(e,s,t,n,r){var p;n();const u=e(446);class a extends u.TextInputView{render(){super.render(),this.input_el.type=\"password\"}}t.PasswordInputView=a,a.__name__=\"PasswordInputView\";class o extends u.TextInput{constructor(e){super(e)}}t.PasswordInput=o,p=o,o.__name__=\"PasswordInput\",p.prototype.default_view=a},\n 475: function _(e,t,i,l,s){l();const o=e(1);var n;const h=(0,o.__importDefault)(e(476)),a=e(43),u=e(8),c=e(210),_=(0,o.__importStar)(e(449)),d=(0,o.__importDefault)(e(477)),r=e(448);class m extends r.InputWidgetView{constructor(){super(...arguments),this._last_height=null}connect_signals(){super.connect_signals(),this.connect(this.model.properties.disabled.change,(()=>this.set_disabled()));const{value:e,max_items:t,option_limit:i,search_option_limit:l,delete_button:s,placeholder:o,options:n,name:h,title:a}=this.model.properties;this.on_change([e,t,i,l,s,o,n,h,a],(()=>this.render()))}styles(){return[...super.styles(),d.default]}_update_layout(){this.layout=new c.CachedVariadicBox(this.el),this.layout.set_sizing(this.box_sizing())}render(){super.render(),this.input_el=(0,a.select)({multiple:!0,class:_.input,name:this.model.name,disabled:this.model.disabled}),this.group_el.appendChild(this.input_el);const e=new Set(this.model.value),t=this.model.options.map((t=>{let i,l;return(0,u.isString)(t)?i=l=t:[i,l]=t,{value:i,label:l,selected:e.has(i)}})),i=this.model.solid?\"solid\":\"light\",l=`choices__item ${i}`,s=`choices__button ${i}`,o={choices:t,duplicateItemsAllowed:!1,removeItemButton:this.model.delete_button,classNames:{item:l,button:s}};null!=this.model.placeholder&&(o.placeholderValue=this.model.placeholder),null!=this.model.max_items&&(o.maxItemCount=this.model.max_items),null!=this.model.option_limit&&(o.renderChoiceLimit=this.model.option_limit),null!=this.model.search_option_limit&&(o.searchResultLimit=this.model.search_option_limit),this.choice_el=new h.default(this.input_el,o);const n=()=>this.choice_el.containerOuter.element.getBoundingClientRect().height;null!=this._last_height&&this._last_height!=n()&&this.root.invalidate_layout(),this._last_height=n(),this.input_el.addEventListener(\"change\",(()=>this.change_input()))}set_disabled(){this.model.disabled?this.choice_el.disable():this.choice_el.enable()}change_input(){const e=null!=this.el.querySelector(\"select:focus\"),t=[];for(const e of this.el.querySelectorAll(\"option\"))e.selected&&t.push(e.value);this.model.value=t,super.change_input(),e&&this.input_el.focus()}}i.MultiChoiceView=m,m.__name__=\"MultiChoiceView\";class p extends r.InputWidget{constructor(e){super(e)}}i.MultiChoice=p,n=p,p.__name__=\"MultiChoice\",n.prototype.default_view=m,n.define((({Boolean:e,Int:t,String:i,Array:l,Tuple:s,Or:o,Nullable:n})=>({value:[l(i),[]],options:[l(o(i,s(i,i))),[]],max_items:[n(t),null],delete_button:[e,!0],placeholder:[n(i),null],option_limit:[n(t),null],search_option_limit:[n(t),null],solid:[e,!0]})))},\n 476: function _(e,t,i,n,s){\n /*! choices.js v9.0.1 | © 2019 Josh Johnson | https://github.com/jshjohnson/Choices#readme */\n var r,o;r=window,o=function(){return function(e){var t={};function i(n){if(t[n])return t[n].exports;var s=t[n]={i:n,l:!1,exports:{}};return e[n].call(s.exports,s,s.exports,i),s.l=!0,s.exports}return i.m=e,i.c=t,i.d=function(e,t,n){i.o(e,t)||Object.defineProperty(e,t,{enumerable:!0,get:n})},i.r=function(e){\"undefined\"!=typeof Symbol&&Symbol.toStringTag&&Object.defineProperty(e,Symbol.toStringTag,{value:\"Module\"}),Object.defineProperty(e,\"__esModule\",{value:!0})},i.t=function(e,t){if(1&t&&(e=i(e)),8&t)return e;if(4&t&&\"object\"==typeof e&&e&&e.__esModule)return e;var n=Object.create(null);if(i.r(n),Object.defineProperty(n,\"default\",{enumerable:!0,value:e}),2&t&&\"string\"!=typeof e)for(var s in e)i.d(n,s,function(t){return e[t]}.bind(null,s));return n},i.n=function(e){var t=e&&e.__esModule?function(){return e.default}:function(){return e};return i.d(t,\"a\",t),t},i.o=function(e,t){return Object.prototype.hasOwnProperty.call(e,t)},i.p=\"/public/assets/scripts/\",i(i.s=4)}([function(e,t,i){\"use strict\";var n=function(e){return function(e){return!!e&&\"object\"==typeof e}(e)&&!function(e){var t=Object.prototype.toString.call(e);return\"[object RegExp]\"===t||\"[object Date]\"===t||function(e){return e.$$typeof===s}(e)}(e)},s=\"function\"==typeof Symbol&&Symbol.for?Symbol.for(\"react.element\"):60103;function r(e,t){return!1!==t.clone&&t.isMergeableObject(e)?l((i=e,Array.isArray(i)?[]:{}),e,t):e;var i}function o(e,t,i){return e.concat(t).map((function(e){return r(e,i)}))}function a(e){return Object.keys(e).concat(function(e){return Object.getOwnPropertySymbols?Object.getOwnPropertySymbols(e).filter((function(t){return e.propertyIsEnumerable(t)})):[]}(e))}function c(e,t,i){var n={};return i.isMergeableObject(e)&&a(e).forEach((function(t){n[t]=r(e[t],i)})),a(t).forEach((function(s){(function(e,t){try{return t in e&&!(Object.hasOwnProperty.call(e,t)&&Object.propertyIsEnumerable.call(e,t))}catch(e){return!1}})(e,s)||(i.isMergeableObject(t[s])&&e[s]?n[s]=function(e,t){if(!t.customMerge)return l;var i=t.customMerge(e);return\"function\"==typeof i?i:l}(s,i)(e[s],t[s],i):n[s]=r(t[s],i))})),n}function l(e,t,i){(i=i||{}).arrayMerge=i.arrayMerge||o,i.isMergeableObject=i.isMergeableObject||n,i.cloneUnlessOtherwiseSpecified=r;var s=Array.isArray(t);return s===Array.isArray(e)?s?i.arrayMerge(e,t,i):c(e,t,i):r(t,i)}l.all=function(e,t){if(!Array.isArray(e))throw new Error(\"first argument should be an array\");return e.reduce((function(e,i){return l(e,i,t)}),{})};var h=l;e.exports=h},function(e,t,i){\"use strict\";(function(e,n){var s,r=i(3);s=\"undefined\"!=typeof self?self:\"undefined\"!=typeof window?window:void 0!==e?e:n;var o=Object(r.a)(s);t.a=o}).call(this,i(5),i(6)(e))},function(e,t,i){\n /*!\n * Fuse.js v3.4.5 - Lightweight fuzzy-search (http://fusejs.io)\n *\n * Copyright (c) 2012-2017 Kirollos Risk (http://kiro.me)\n * All Rights Reserved. Apache Software License 2.0\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n */\n e.exports=function(e){var t={};function i(n){if(t[n])return t[n].exports;var s=t[n]={i:n,l:!1,exports:{}};return e[n].call(s.exports,s,s.exports,i),s.l=!0,s.exports}return i.m=e,i.c=t,i.d=function(e,t,n){i.o(e,t)||Object.defineProperty(e,t,{enumerable:!0,get:n})},i.r=function(e){\"undefined\"!=typeof Symbol&&Symbol.toStringTag&&Object.defineProperty(e,Symbol.toStringTag,{value:\"Module\"}),Object.defineProperty(e,\"__esModule\",{value:!0})},i.t=function(e,t){if(1&t&&(e=i(e)),8&t)return e;if(4&t&&\"object\"==typeof e&&e&&e.__esModule)return e;var n=Object.create(null);if(i.r(n),Object.defineProperty(n,\"default\",{enumerable:!0,value:e}),2&t&&\"string\"!=typeof e)for(var s in e)i.d(n,s,function(t){return e[t]}.bind(null,s));return n},i.n=function(e){var t=e&&e.__esModule?function(){return e.default}:function(){return e};return i.d(t,\"a\",t),t},i.o=function(e,t){return Object.prototype.hasOwnProperty.call(e,t)},i.p=\"\",i(i.s=1)}([function(e,t){e.exports=function(e){return Array.isArray?Array.isArray(e):\"[object Array]\"===Object.prototype.toString.call(e)}},function(e,t,i){function n(e){return(n=\"function\"==typeof Symbol&&\"symbol\"==typeof Symbol.iterator?function(e){return typeof e}:function(e){return e&&\"function\"==typeof Symbol&&e.constructor===Symbol&&e!==Symbol.prototype?\"symbol\":typeof e})(e)}function s(e,t){for(var i=0;i1&&void 0!==arguments[1]?arguments[1]:{limit:!1};this._log('---------\\nSearch pattern: \"'.concat(e,'\"'));var i=this._prepareSearchers(e),n=i.tokenSearchers,s=i.fullSearcher,r=this._search(n,s),o=r.weights,a=r.results;return this._computeScore(o,a),this.options.shouldSort&&this._sort(a),t.limit&&\"number\"==typeof t.limit&&(a=a.slice(0,t.limit)),this._format(a)}},{key:\"_prepareSearchers\",value:function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:\"\",t=[];if(this.options.tokenize)for(var i=e.split(this.options.tokenSeparator),n=0,s=i.length;n0&&void 0!==arguments[0]?arguments[0]:[],t=arguments.length>1?arguments[1]:void 0,i=this.list,n={},s=[];if(\"string\"==typeof i[0]){for(var r=0,o=i.length;r1)throw new Error(\"Key weight has to be > 0 and <= 1\");p=p.name}else a[p]={weight:1};this._analyze({key:p,value:this.options.getFn(h,p),record:h,index:c},{resultMap:n,results:s,tokenSearchers:e,fullSearcher:t})}return{weights:a,results:s}}},{key:\"_analyze\",value:function(e,t){var i=e.key,n=e.arrayIndex,s=void 0===n?-1:n,r=e.value,o=e.record,c=e.index,l=t.tokenSearchers,h=void 0===l?[]:l,u=t.fullSearcher,d=void 0===u?[]:u,p=t.resultMap,m=void 0===p?{}:p,f=t.results,v=void 0===f?[]:f;if(null!=r){var g=!1,_=-1,b=0;if(\"string\"==typeof r){this._log(\"\\nKey: \".concat(\"\"===i?\"-\":i));var y=d.search(r);if(this._log('Full text: \"'.concat(r,'\", score: ').concat(y.score)),this.options.tokenize){for(var E=r.split(this.options.tokenSeparator),I=[],S=0;S-1&&(P=(P+_)/2),this._log(\"Score average:\",P);var D=!this.options.tokenize||!this.options.matchAllTokens||b>=h.length;if(this._log(\"\\nCheck Matches: \".concat(D)),(g||y.isMatch)&&D){var M=m[c];M?M.output.push({key:i,arrayIndex:s,value:r,score:P,matchedIndices:y.matchedIndices}):(m[c]={item:o,output:[{key:i,arrayIndex:s,value:r,score:P,matchedIndices:y.matchedIndices}]},v.push(m[c]))}}else if(a(r))for(var N=0,F=r.length;N-1&&(o.arrayIndex=r.arrayIndex),t.matches.push(o)}}})),this.options.includeScore&&s.push((function(e,t){t.score=e.score}));for(var r=0,o=e.length;ri)return s(e,this.pattern,n);var o=this.options,a=o.location,c=o.distance,l=o.threshold,h=o.findAllMatches,u=o.minMatchCharLength;return r(e,this.pattern,this.patternAlphabet,{location:a,distance:c,threshold:l,findAllMatches:h,minMatchCharLength:u})}}])&&n(t.prototype,i),a&&n(t,a),e}();e.exports=a},function(e,t){var i=/[\\-\\[\\]\\/\\{\\}\\(\\)\\*\\+\\?\\.\\\\\\^\\$\\|]/g;e.exports=function(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:/ +/g,s=new RegExp(t.replace(i,\"\\\\$&\").replace(n,\"|\")),r=e.match(s),o=!!r,a=[];if(o)for(var c=0,l=r.length;c=P;N-=1){var F=N-1,j=i[e.charAt(F)];if(j&&(E[F]=1),M[N]=(M[N+1]<<1|1)&j,0!==T&&(M[N]|=(O[N+1]|O[N])<<1|1|O[N+1]),M[N]&L&&(C=n(t,{errors:T,currentLocation:F,expectedLocation:v,distance:l}))<=_){if(_=C,(b=F)<=v)break;P=Math.max(1,2*v-b)}}if(n(t,{errors:T+1,currentLocation:v,expectedLocation:v,distance:l})>_)break;O=M}return{isMatch:b>=0,score:0===C?.001:C,matchedIndices:s(E,f)}}},function(e,t){e.exports=function(e,t){var i=t.errors,n=void 0===i?0:i,s=t.currentLocation,r=void 0===s?0:s,o=t.expectedLocation,a=void 0===o?0:o,c=t.distance,l=void 0===c?100:c,h=n/e.length,u=Math.abs(a-r);return l?h+u/l:u?1:h}},function(e,t){e.exports=function(){for(var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:[],t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:1,i=[],n=-1,s=-1,r=0,o=e.length;r=t&&i.push([n,s]),n=-1)}return e[r-1]&&r-n>=t&&i.push([n,r-1]),i}},function(e,t){e.exports=function(e){for(var t={},i=e.length,n=0;n/g,\"&rt;\").replace(/-1?e.map((function(e){var i=e;return i.id===parseInt(t.choiceId,10)&&(i.selected=!0),i})):e;case\"REMOVE_ITEM\":return t.choiceId>-1?e.map((function(e){var i=e;return i.id===parseInt(t.choiceId,10)&&(i.selected=!1),i})):e;case\"FILTER_CHOICES\":return e.map((function(e){var i=e;return i.active=t.results.some((function(e){var t=e.item,n=e.score;return t.id===i.id&&(i.score=n,!0)})),i}));case\"ACTIVATE_CHOICES\":return e.map((function(e){var i=e;return i.active=t.active,i}));case\"CLEAR_CHOICES\":return v;default:return e}},general:_}),A=function(e,t){var i=e;if(\"CLEAR_ALL\"===t.type)i=void 0;else if(\"RESET_TO\"===t.type)return O(t.state);return C(i,t)};function L(e,t){for(var i=0;i\"'+I(e)+'\"'},maxItemText:function(e){return\"Only \"+e+\" values can be added\"},valueComparer:function(e,t){return e===t},fuseOptions:{includeScore:!0},callbackOnInit:null,callbackOnCreateTemplates:null,classNames:{containerOuter:\"choices\",containerInner:\"choices__inner\",input:\"choices__input\",inputCloned:\"choices__input--cloned\",list:\"choices__list\",listItems:\"choices__list--multiple\",listSingle:\"choices__list--single\",listDropdown:\"choices__list--dropdown\",item:\"choices__item\",itemSelectable:\"choices__item--selectable\",itemDisabled:\"choices__item--disabled\",itemChoice:\"choices__item--choice\",placeholder:\"choices__placeholder\",group:\"choices__group\",groupHeading:\"choices__heading\",button:\"choices__button\",activeState:\"is-active\",focusState:\"is-focused\",openState:\"is-open\",disabledState:\"is-disabled\",highlightedState:\"is-highlighted\",selectedState:\"is-selected\",flippedState:\"is-flipped\",loadingState:\"is-loading\",noResults:\"has-no-results\",noChoices:\"has-no-choices\"}},D=\"showDropdown\",M=\"hideDropdown\",N=\"change\",F=\"choice\",j=\"search\",K=\"addItem\",R=\"removeItem\",H=\"highlightItem\",B=\"highlightChoice\",V=\"ADD_CHOICE\",G=\"FILTER_CHOICES\",q=\"ACTIVATE_CHOICES\",U=\"CLEAR_CHOICES\",z=\"ADD_GROUP\",W=\"ADD_ITEM\",X=\"REMOVE_ITEM\",$=\"HIGHLIGHT_ITEM\",J=46,Y=8,Z=13,Q=65,ee=27,te=38,ie=40,ne=33,se=34,re=\"text\",oe=\"select-one\",ae=\"select-multiple\",ce=function(){function e(e){var t=e.element,i=e.type,n=e.classNames,s=e.position;this.element=t,this.classNames=n,this.type=i,this.position=s,this.isOpen=!1,this.isFlipped=!1,this.isFocussed=!1,this.isDisabled=!1,this.isLoading=!1,this._onFocus=this._onFocus.bind(this),this._onBlur=this._onBlur.bind(this)}var t=e.prototype;return t.addEventListeners=function(){this.element.addEventListener(\"focus\",this._onFocus),this.element.addEventListener(\"blur\",this._onBlur)},t.removeEventListeners=function(){this.element.removeEventListener(\"focus\",this._onFocus),this.element.removeEventListener(\"blur\",this._onBlur)},t.shouldFlip=function(e){if(\"number\"!=typeof e)return!1;var t=!1;return\"auto\"===this.position?t=!window.matchMedia(\"(min-height: \"+(e+1)+\"px)\").matches:\"top\"===this.position&&(t=!0),t},t.setActiveDescendant=function(e){this.element.setAttribute(\"aria-activedescendant\",e)},t.removeActiveDescendant=function(){this.element.removeAttribute(\"aria-activedescendant\")},t.open=function(e){this.element.classList.add(this.classNames.openState),this.element.setAttribute(\"aria-expanded\",\"true\"),this.isOpen=!0,this.shouldFlip(e)&&(this.element.classList.add(this.classNames.flippedState),this.isFlipped=!0)},t.close=function(){this.element.classList.remove(this.classNames.openState),this.element.setAttribute(\"aria-expanded\",\"false\"),this.removeActiveDescendant(),this.isOpen=!1,this.isFlipped&&(this.element.classList.remove(this.classNames.flippedState),this.isFlipped=!1)},t.focus=function(){this.isFocussed||this.element.focus()},t.addFocusState=function(){this.element.classList.add(this.classNames.focusState)},t.removeFocusState=function(){this.element.classList.remove(this.classNames.focusState)},t.enable=function(){this.element.classList.remove(this.classNames.disabledState),this.element.removeAttribute(\"aria-disabled\"),this.type===oe&&this.element.setAttribute(\"tabindex\",\"0\"),this.isDisabled=!1},t.disable=function(){this.element.classList.add(this.classNames.disabledState),this.element.setAttribute(\"aria-disabled\",\"true\"),this.type===oe&&this.element.setAttribute(\"tabindex\",\"-1\"),this.isDisabled=!0},t.wrap=function(e){!function(e,t){void 0===t&&(t=document.createElement(\"div\")),e.nextSibling?e.parentNode.insertBefore(t,e.nextSibling):e.parentNode.appendChild(t),t.appendChild(e)}(e,this.element)},t.unwrap=function(e){this.element.parentNode.insertBefore(e,this.element),this.element.parentNode.removeChild(this.element)},t.addLoadingState=function(){this.element.classList.add(this.classNames.loadingState),this.element.setAttribute(\"aria-busy\",\"true\"),this.isLoading=!0},t.removeLoadingState=function(){this.element.classList.remove(this.classNames.loadingState),this.element.removeAttribute(\"aria-busy\"),this.isLoading=!1},t._onFocus=function(){this.isFocussed=!0},t._onBlur=function(){this.isFocussed=!1},e}();function le(e,t){for(var i=0;i0?this.element.scrollTop+o-s:e.offsetTop;requestAnimationFrame((function(){i._animateScroll(a,t)}))}},t._scrollDown=function(e,t,i){var n=(i-e)/t,s=n>1?n:1;this.element.scrollTop=e+s},t._scrollUp=function(e,t,i){var n=(e-i)/t,s=n>1?n:1;this.element.scrollTop=e-s},t._animateScroll=function(e,t){var i=this,n=this.element.scrollTop,s=!1;t>0?(this._scrollDown(n,4,e),ne&&(s=!0)),s&&requestAnimationFrame((function(){i._animateScroll(e,t)}))},e}();function de(e,t){for(var i=0;i0?\"treeitem\":\"option\"),Object.assign(g.dataset,{choice:\"\",id:l,value:h,selectText:i}),m?(g.classList.add(a),g.dataset.choiceDisabled=\"\",g.setAttribute(\"aria-disabled\",\"true\")):(g.classList.add(r),g.dataset.choiceSelectable=\"\"),g},input:function(e,t){var i=e.input,n=e.inputCloned,s=Object.assign(document.createElement(\"input\"),{type:\"text\",className:i+\" \"+n,autocomplete:\"off\",autocapitalize:\"off\",spellcheck:!1});return s.setAttribute(\"role\",\"textbox\"),s.setAttribute(\"aria-autocomplete\",\"list\"),s.setAttribute(\"aria-label\",t),s},dropdown:function(e){var t=e.list,i=e.listDropdown,n=document.createElement(\"div\");return n.classList.add(t,i),n.setAttribute(\"aria-expanded\",\"false\"),n},notice:function(e,t,i){var n=e.item,s=e.itemChoice,r=e.noResults,o=e.noChoices;void 0===i&&(i=\"\");var a=[n,s];return\"no-choices\"===i?a.push(o):\"no-results\"===i&&a.push(r),Object.assign(document.createElement(\"div\"),{innerHTML:t,className:a.join(\" \")})},option:function(e){var t=e.label,i=e.value,n=e.customProperties,s=e.active,r=e.disabled,o=new Option(t,i,!1,s);return n&&(o.dataset.customProperties=n),o.disabled=r,o}},be=function(e){return void 0===e&&(e=!0),{type:q,active:e}},ye=function(e,t){return{type:$,id:e,highlighted:t}},Ee=function(e){var t=e.value,i=e.id,n=e.active,s=e.disabled;return{type:z,value:t,id:i,active:n,disabled:s}},Ie=function(e){return{type:\"SET_IS_LOADING\",isLoading:e}};function Se(e,t){for(var i=0;i=0?this._store.getGroupById(s):null;return this._store.dispatch(ye(i,!0)),t&&this.passedElement.triggerEvent(H,{id:i,value:o,label:c,groupValue:l&&l.value?l.value:null}),this},r.unhighlightItem=function(e){if(!e)return this;var t=e.id,i=e.groupId,n=void 0===i?-1:i,s=e.value,r=void 0===s?\"\":s,o=e.label,a=void 0===o?\"\":o,c=n>=0?this._store.getGroupById(n):null;return this._store.dispatch(ye(t,!1)),this.passedElement.triggerEvent(H,{id:t,value:r,label:a,groupValue:c&&c.value?c.value:null}),this},r.highlightAll=function(){var e=this;return this._store.items.forEach((function(t){return e.highlightItem(t)})),this},r.unhighlightAll=function(){var e=this;return this._store.items.forEach((function(t){return e.unhighlightItem(t)})),this},r.removeActiveItemsByValue=function(e){var t=this;return this._store.activeItems.filter((function(t){return t.value===e})).forEach((function(e){return t._removeItem(e)})),this},r.removeActiveItems=function(e){var t=this;return this._store.activeItems.filter((function(t){return t.id!==e})).forEach((function(e){return t._removeItem(e)})),this},r.removeHighlightedItems=function(e){var t=this;return void 0===e&&(e=!1),this._store.highlightedActiveItems.forEach((function(i){t._removeItem(i),e&&t._triggerChange(i.value)})),this},r.showDropdown=function(e){var t=this;return this.dropdown.isActive||requestAnimationFrame((function(){t.dropdown.show(),t.containerOuter.open(t.dropdown.distanceFromTopWindow),!e&&t._canSearch&&t.input.focus(),t.passedElement.triggerEvent(D,{})})),this},r.hideDropdown=function(e){var t=this;return this.dropdown.isActive?(requestAnimationFrame((function(){t.dropdown.hide(),t.containerOuter.close(),!e&&t._canSearch&&(t.input.removeActiveDescendant(),t.input.blur()),t.passedElement.triggerEvent(M,{})})),this):this},r.getValue=function(e){void 0===e&&(e=!1);var t=this._store.activeItems.reduce((function(t,i){var n=e?i.value:i;return t.push(n),t}),[]);return this._isSelectOneElement?t[0]:t},r.setValue=function(e){var t=this;return this.initialised?(e.forEach((function(e){return t._setChoiceOrItem(e)})),this):this},r.setChoiceByValue=function(e){var t=this;return!this.initialised||this._isTextElement||(Array.isArray(e)?e:[e]).forEach((function(e){return t._findAndSelectChoiceByValue(e)})),this},r.setChoices=function(e,t,i,n){var s=this;if(void 0===e&&(e=[]),void 0===t&&(t=\"value\"),void 0===i&&(i=\"label\"),void 0===n&&(n=!1),!this.initialised)throw new ReferenceError(\"setChoices was called on a non-initialized instance of Choices\");if(!this._isSelectElement)throw new TypeError(\"setChoices can't be used with INPUT based Choices\");if(\"string\"!=typeof t||!t)throw new TypeError(\"value parameter must be a name of 'value' field in passed objects\");if(n&&this.clearChoices(),\"function\"==typeof e){var r=e(this);if(\"function\"==typeof Promise&&r instanceof Promise)return new Promise((function(e){return requestAnimationFrame(e)})).then((function(){return s._handleLoadingState(!0)})).then((function(){return r})).then((function(e){return s.setChoices(e,t,i,n)})).catch((function(e){s.config.silent||console.error(e)})).then((function(){return s._handleLoadingState(!1)})).then((function(){return s}));if(!Array.isArray(r))throw new TypeError(\".setChoices first argument function must return either array of choices or Promise, got: \"+typeof r);return this.setChoices(r,t,i,!1)}if(!Array.isArray(e))throw new TypeError(\".setChoices must be called either with array of choices with a function resulting into Promise of array of choices\");return this.containerOuter.removeLoadingState(),this._startLoading(),e.forEach((function(e){e.choices?s._addGroup({id:parseInt(e.id,10)||null,group:e,valueKey:t,labelKey:i}):s._addChoice({value:e[t],label:e[i],isSelected:e.selected,isDisabled:e.disabled,customProperties:e.customProperties,placeholder:e.placeholder})})),this._stopLoading(),this},r.clearChoices=function(){return this._store.dispatch({type:U}),this},r.clearStore=function(){return this._store.dispatch({type:\"CLEAR_ALL\"}),this},r.clearInput=function(){var e=!this._isSelectOneElement;return this.input.clear(e),!this._isTextElement&&this._canSearch&&(this._isSearching=!1,this._store.dispatch(be(!0))),this},r._render=function(){if(!this._store.isLoading()){this._currentState=this._store.state;var e=this._currentState.choices!==this._prevState.choices||this._currentState.groups!==this._prevState.groups||this._currentState.items!==this._prevState.items,t=this._isSelectElement,i=this._currentState.items!==this._prevState.items;e&&(t&&this._renderChoices(),i&&this._renderItems(),this._prevState=this._currentState)}},r._renderChoices=function(){var e=this,t=this._store,i=t.activeGroups,n=t.activeChoices,s=document.createDocumentFragment();if(this.choiceList.clear(),this.config.resetScrollPosition&&requestAnimationFrame((function(){return e.choiceList.scrollToTop()})),i.length>=1&&!this._isSearching){var r=n.filter((function(e){return!0===e.placeholder&&-1===e.groupId}));r.length>=1&&(s=this._createChoicesFragment(r,s)),s=this._createGroupsFragment(i,n,s)}else n.length>=1&&(s=this._createChoicesFragment(n,s));if(s.childNodes&&s.childNodes.length>0){var o=this._store.activeItems,a=this._canAddItem(o,this.input.value);a.response?(this.choiceList.append(s),this._highlightChoice()):this.choiceList.append(this._getTemplate(\"notice\",a.notice))}else{var c,l;this._isSearching?(l=\"function\"==typeof this.config.noResultsText?this.config.noResultsText():this.config.noResultsText,c=this._getTemplate(\"notice\",l,\"no-results\")):(l=\"function\"==typeof this.config.noChoicesText?this.config.noChoicesText():this.config.noChoicesText,c=this._getTemplate(\"notice\",l,\"no-choices\")),this.choiceList.append(c)}},r._renderItems=function(){var e=this._store.activeItems||[];this.itemList.clear();var t=this._createItemsFragment(e);t.childNodes&&this.itemList.append(t)},r._createGroupsFragment=function(e,t,i){var n=this;return void 0===i&&(i=document.createDocumentFragment()),this.config.shouldSort&&e.sort(this.config.sorter),e.forEach((function(e){var s=function(e){return t.filter((function(t){return n._isSelectOneElement?t.groupId===e.id:t.groupId===e.id&&(\"always\"===n.config.renderSelectedChoices||!t.selected)}))}(e);if(s.length>=1){var r=n._getTemplate(\"choiceGroup\",e);i.appendChild(r),n._createChoicesFragment(s,i,!0)}})),i},r._createChoicesFragment=function(e,t,i){var n=this;void 0===t&&(t=document.createDocumentFragment()),void 0===i&&(i=!1);var s=this.config,r=s.renderSelectedChoices,o=s.searchResultLimit,a=s.renderChoiceLimit,c=this._isSearching?w:this.config.sorter,l=function(e){if(\"auto\"!==r||n._isSelectOneElement||!e.selected){var i=n._getTemplate(\"choice\",e,n.config.itemSelectText);t.appendChild(i)}},h=e;\"auto\"!==r||this._isSelectOneElement||(h=e.filter((function(e){return!e.selected})));var u=h.reduce((function(e,t){return t.placeholder?e.placeholderChoices.push(t):e.normalChoices.push(t),e}),{placeholderChoices:[],normalChoices:[]}),d=u.placeholderChoices,p=u.normalChoices;(this.config.shouldSort||this._isSearching)&&p.sort(c);var m=h.length,f=this._isSelectOneElement?[].concat(d,p):p;this._isSearching?m=o:a&&a>0&&!i&&(m=a);for(var v=0;v=n){var o=s?this._searchChoices(e):0;this.passedElement.triggerEvent(j,{value:e,resultCount:o})}else r&&(this._isSearching=!1,this._store.dispatch(be(!0)))}},r._canAddItem=function(e,t){var i=!0,n=\"function\"==typeof this.config.addItemText?this.config.addItemText(t):this.config.addItemText;if(!this._isSelectOneElement){var s=function(e,t,i){return void 0===i&&(i=\"value\"),e.some((function(e){return\"string\"==typeof t?e[i]===t.trim():e[i]===t}))}(e,t);this.config.maxItemCount>0&&this.config.maxItemCount<=e.length&&(i=!1,n=\"function\"==typeof this.config.maxItemText?this.config.maxItemText(this.config.maxItemCount):this.config.maxItemText),!this.config.duplicateItemsAllowed&&s&&i&&(i=!1,n=\"function\"==typeof this.config.uniqueItemText?this.config.uniqueItemText(t):this.config.uniqueItemText),this._isTextElement&&this.config.addItems&&i&&\"function\"==typeof this.config.addItemFilter&&!this.config.addItemFilter(t)&&(i=!1,n=\"function\"==typeof this.config.customAddItemText?this.config.customAddItemText(t):this.config.customAddItemText)}return{response:i,notice:n}},r._searchChoices=function(e){var t=\"string\"==typeof e?e.trim():e,i=\"string\"==typeof this._currentValue?this._currentValue.trim():this._currentValue;if(t.length<1&&t===i+\" \")return 0;var n=this._store.searchableChoices,r=t,o=[].concat(this.config.searchFields),a=Object.assign(this.config.fuseOptions,{keys:o}),c=new s.a(n,a).search(r);return this._currentValue=t,this._highlightPosition=0,this._isSearching=!0,this._store.dispatch(function(e){return{type:G,results:e}}(c)),c.length},r._addEventListeners=function(){var e=document.documentElement;e.addEventListener(\"touchend\",this._onTouchEnd,!0),this.containerOuter.element.addEventListener(\"keydown\",this._onKeyDown,!0),this.containerOuter.element.addEventListener(\"mousedown\",this._onMouseDown,!0),e.addEventListener(\"click\",this._onClick,{passive:!0}),e.addEventListener(\"touchmove\",this._onTouchMove,{passive:!0}),this.dropdown.element.addEventListener(\"mouseover\",this._onMouseOver,{passive:!0}),this._isSelectOneElement&&(this.containerOuter.element.addEventListener(\"focus\",this._onFocus,{passive:!0}),this.containerOuter.element.addEventListener(\"blur\",this._onBlur,{passive:!0})),this.input.element.addEventListener(\"keyup\",this._onKeyUp,{passive:!0}),this.input.element.addEventListener(\"focus\",this._onFocus,{passive:!0}),this.input.element.addEventListener(\"blur\",this._onBlur,{passive:!0}),this.input.element.form&&this.input.element.form.addEventListener(\"reset\",this._onFormReset,{passive:!0}),this.input.addEventListeners()},r._removeEventListeners=function(){var e=document.documentElement;e.removeEventListener(\"touchend\",this._onTouchEnd,!0),this.containerOuter.element.removeEventListener(\"keydown\",this._onKeyDown,!0),this.containerOuter.element.removeEventListener(\"mousedown\",this._onMouseDown,!0),e.removeEventListener(\"click\",this._onClick),e.removeEventListener(\"touchmove\",this._onTouchMove),this.dropdown.element.removeEventListener(\"mouseover\",this._onMouseOver),this._isSelectOneElement&&(this.containerOuter.element.removeEventListener(\"focus\",this._onFocus),this.containerOuter.element.removeEventListener(\"blur\",this._onBlur)),this.input.element.removeEventListener(\"keyup\",this._onKeyUp),this.input.element.removeEventListener(\"focus\",this._onFocus),this.input.element.removeEventListener(\"blur\",this._onBlur),this.input.element.form&&this.input.element.form.removeEventListener(\"reset\",this._onFormReset),this.input.removeEventListeners()},r._onKeyDown=function(e){var t,i=e.target,n=e.keyCode,s=e.ctrlKey,r=e.metaKey,o=this._store.activeItems,a=this.input.isFocussed,c=this.dropdown.isActive,l=this.itemList.hasChildren(),h=String.fromCharCode(n),u=J,d=Y,p=Z,m=Q,f=ee,v=te,g=ie,_=ne,b=se,y=s||r;!this._isTextElement&&/[a-zA-Z0-9-_ ]/.test(h)&&this.showDropdown();var E=((t={})[m]=this._onAKey,t[p]=this._onEnterKey,t[f]=this._onEscapeKey,t[v]=this._onDirectionKey,t[_]=this._onDirectionKey,t[g]=this._onDirectionKey,t[b]=this._onDirectionKey,t[d]=this._onDeleteKey,t[u]=this._onDeleteKey,t);E[n]&&E[n]({event:e,target:i,keyCode:n,metaKey:r,activeItems:o,hasFocusedInput:a,hasActiveDropdown:c,hasItems:l,hasCtrlDownKeyPressed:y})},r._onKeyUp=function(e){var t=e.target,i=e.keyCode,n=this.input.value,s=this._store.activeItems,r=this._canAddItem(s,n),o=J,a=Y;if(this._isTextElement)if(r.notice&&n){var c=this._getTemplate(\"notice\",r.notice);this.dropdown.element.innerHTML=c.outerHTML,this.showDropdown(!0)}else this.hideDropdown(!0);else{var l=(i===o||i===a)&&!t.value,h=!this._isTextElement&&this._isSearching,u=this._canSearch&&r.response;l&&h?(this._isSearching=!1,this._store.dispatch(be(!0))):u&&this._handleSearch(this.input.value)}this._canSearch=this.config.searchEnabled},r._onAKey=function(e){var t=e.hasItems;e.hasCtrlDownKeyPressed&&t&&(this._canSearch=!1,this.config.removeItems&&!this.input.value&&this.input.element===document.activeElement&&this.highlightAll())},r._onEnterKey=function(e){var t=e.event,i=e.target,n=e.activeItems,s=e.hasActiveDropdown,r=Z,o=i.hasAttribute(\"data-button\");if(this._isTextElement&&i.value){var a=this.input.value;this._canAddItem(n,a).response&&(this.hideDropdown(!0),this._addItem({value:a}),this._triggerChange(a),this.clearInput())}if(o&&(this._handleButtonAction(n,i),t.preventDefault()),s){var c=this.dropdown.getChild(\".\"+this.config.classNames.highlightedState);c&&(n[0]&&(n[0].keyCode=r),this._handleChoiceAction(n,c)),t.preventDefault()}else this._isSelectOneElement&&(this.showDropdown(),t.preventDefault())},r._onEscapeKey=function(e){e.hasActiveDropdown&&(this.hideDropdown(!0),this.containerOuter.focus())},r._onDirectionKey=function(e){var t,i,n,s=e.event,r=e.hasActiveDropdown,o=e.keyCode,a=e.metaKey,c=ie,l=ne,h=se;if(r||this._isSelectOneElement){this.showDropdown(),this._canSearch=!1;var u,d=o===c||o===h?1:-1,p=\"[data-choice-selectable]\";if(a||o===h||o===l)u=d>0?this.dropdown.element.querySelector(\"[data-choice-selectable]:last-of-type\"):this.dropdown.element.querySelector(p);else{var m=this.dropdown.element.querySelector(\".\"+this.config.classNames.highlightedState);u=m?function(e,t,i){if(void 0===i&&(i=1),e instanceof Element&&\"string\"==typeof t){for(var n=(i>0?\"next\":\"previous\")+\"ElementSibling\",s=e[n];s;){if(s.matches(t))return s;s=s[n]}return s}}(m,p,d):this.dropdown.element.querySelector(p)}u&&(t=u,i=this.choiceList.element,void 0===(n=d)&&(n=1),t&&(n>0?i.scrollTop+i.offsetHeight>=t.offsetTop+t.offsetHeight:t.offsetTop>=i.scrollTop)||this.choiceList.scrollToChildElement(u,d),this._highlightChoice(u)),s.preventDefault()}},r._onDeleteKey=function(e){var t=e.event,i=e.target,n=e.hasFocusedInput,s=e.activeItems;!n||i.value||this._isSelectOneElement||(this._handleBackspace(s),t.preventDefault())},r._onTouchMove=function(){this._wasTap&&(this._wasTap=!1)},r._onTouchEnd=function(e){var t=(e||e.touches[0]).target;this._wasTap&&this.containerOuter.element.contains(t)&&((t===this.containerOuter.element||t===this.containerInner.element)&&(this._isTextElement?this.input.focus():this._isSelectMultipleElement&&this.showDropdown()),e.stopPropagation()),this._wasTap=!0},r._onMouseDown=function(e){var t=e.target;if(t instanceof HTMLElement){if(we&&this.choiceList.element.contains(t)){var i=this.choiceList.element.firstElementChild,n=\"ltr\"===this._direction?e.offsetX>=i.offsetWidth:e.offsetX0&&this.unhighlightAll(),this.containerOuter.removeFocusState(),this.hideDropdown(!0))},r._onFocus=function(e){var t,i=this,n=e.target;this.containerOuter.element.contains(n)&&((t={}).text=function(){n===i.input.element&&i.containerOuter.addFocusState()},t[\"select-one\"]=function(){i.containerOuter.addFocusState(),n===i.input.element&&i.showDropdown(!0)},t[\"select-multiple\"]=function(){n===i.input.element&&(i.showDropdown(!0),i.containerOuter.addFocusState())},t)[this.passedElement.element.type]()},r._onBlur=function(e){var t=this,i=e.target;if(this.containerOuter.element.contains(i)&&!this._isScrollingOnIe){var n,s=this._store.activeItems.some((function(e){return e.highlighted}));((n={}).text=function(){i===t.input.element&&(t.containerOuter.removeFocusState(),s&&t.unhighlightAll(),t.hideDropdown(!0))},n[\"select-one\"]=function(){t.containerOuter.removeFocusState(),(i===t.input.element||i===t.containerOuter.element&&!t._canSearch)&&t.hideDropdown(!0)},n[\"select-multiple\"]=function(){i===t.input.element&&(t.containerOuter.removeFocusState(),t.hideDropdown(!0),s&&t.unhighlightAll())},n)[this.passedElement.element.type]()}else this._isScrollingOnIe=!1,this.input.element.focus()},r._onFormReset=function(){this._store.dispatch({type:\"RESET_TO\",state:this._initialState})},r._highlightChoice=function(e){var t=this;void 0===e&&(e=null);var i=Array.from(this.dropdown.element.querySelectorAll(\"[data-choice-selectable]\"));if(i.length){var n=e;Array.from(this.dropdown.element.querySelectorAll(\".\"+this.config.classNames.highlightedState)).forEach((function(e){e.classList.remove(t.config.classNames.highlightedState),e.setAttribute(\"aria-selected\",\"false\")})),n?this._highlightPosition=i.indexOf(n):(n=i.length>this._highlightPosition?i[this._highlightPosition]:i[i.length-1])||(n=i[0]),n.classList.add(this.config.classNames.highlightedState),n.setAttribute(\"aria-selected\",\"true\"),this.passedElement.triggerEvent(B,{el:n}),this.dropdown.isActive&&(this.input.setActiveDescendant(n.id),this.containerOuter.setActiveDescendant(n.id))}},r._addItem=function(e){var t=e.value,i=e.label,n=void 0===i?null:i,s=e.choiceId,r=void 0===s?-1:s,o=e.groupId,a=void 0===o?-1:o,c=e.customProperties,l=void 0===c?null:c,h=e.placeholder,u=void 0!==h&&h,d=e.keyCode,p=void 0===d?null:d,m=\"string\"==typeof t?t.trim():t,f=p,v=l,g=this._store.items,_=n||m,b=r||-1,y=a>=0?this._store.getGroupById(a):null,E=g?g.length+1:1;return this.config.prependValue&&(m=this.config.prependValue+m.toString()),this.config.appendValue&&(m+=this.config.appendValue.toString()),this._store.dispatch(function(e){var t=e.value,i=e.label,n=e.id,s=e.choiceId,r=e.groupId,o=e.customProperties,a=e.placeholder,c=e.keyCode;return{type:W,value:t,label:i,id:n,choiceId:s,groupId:r,customProperties:o,placeholder:a,keyCode:c}}({value:m,label:_,id:E,choiceId:b,groupId:a,customProperties:l,placeholder:u,keyCode:f})),this._isSelectOneElement&&this.removeActiveItems(E),this.passedElement.triggerEvent(K,{id:E,value:m,label:_,customProperties:v,groupValue:y&&y.value?y.value:void 0,keyCode:f}),this},r._removeItem=function(e){if(!e||!E(\"Object\",e))return this;var t=e.id,i=e.value,n=e.label,s=e.choiceId,r=e.groupId,o=r>=0?this._store.getGroupById(r):null;return this._store.dispatch(function(e,t){return{type:X,id:e,choiceId:t}}(t,s)),o&&o.value?this.passedElement.triggerEvent(R,{id:t,value:i,label:n,groupValue:o.value}):this.passedElement.triggerEvent(R,{id:t,value:i,label:n}),this},r._addChoice=function(e){var t=e.value,i=e.label,n=void 0===i?null:i,s=e.isSelected,r=void 0!==s&&s,o=e.isDisabled,a=void 0!==o&&o,c=e.groupId,l=void 0===c?-1:c,h=e.customProperties,u=void 0===h?null:h,d=e.placeholder,p=void 0!==d&&d,m=e.keyCode,f=void 0===m?null:m;if(null!=t){var v=this._store.choices,g=n||t,_=v?v.length+1:1,b=this._baseId+\"-\"+this._idNames.itemChoice+\"-\"+_;this._store.dispatch(function(e){var t=e.value,i=e.label,n=e.id,s=e.groupId,r=e.disabled,o=e.elementId,a=e.customProperties,c=e.placeholder,l=e.keyCode;return{type:V,value:t,label:i,id:n,groupId:s,disabled:r,elementId:o,customProperties:a,placeholder:c,keyCode:l}}({id:_,groupId:l,elementId:b,value:t,label:g,disabled:a,customProperties:u,placeholder:p,keyCode:f})),r&&this._addItem({value:t,label:g,choiceId:_,customProperties:u,placeholder:p,keyCode:f})}},r._addGroup=function(e){var t=this,i=e.group,n=e.id,s=e.valueKey,r=void 0===s?\"value\":s,o=e.labelKey,a=void 0===o?\"label\":o,c=E(\"Object\",i)?i.choices:Array.from(i.getElementsByTagName(\"OPTION\")),l=n||Math.floor((new Date).valueOf()*Math.random()),h=!!i.disabled&&i.disabled;c?(this._store.dispatch(Ee({value:i.label,id:l,active:!0,disabled:h})),c.forEach((function(e){var i=e.disabled||e.parentNode&&e.parentNode.disabled;t._addChoice({value:e[r],label:E(\"Object\",e)?e[a]:e.innerHTML,isSelected:e.selected,isDisabled:i,groupId:l,customProperties:e.customProperties,placeholder:e.placeholder})}))):this._store.dispatch(Ee({value:i.label,id:i.id,active:!1,disabled:i.disabled}))},r._getTemplate=function(e){var t;if(!e)return null;for(var i=this.config.classNames,n=arguments.length,s=new Array(n>1?n-1:0),r=1;r{var e;return this.input_el.name=null!==(e=this.model.name)&&void 0!==e?e:\"\"})),this.connect(this.model.properties.value.change,(()=>{this.input_el.value=this.format_value,this.old_value=this.input_el.value})),this.connect(this.model.properties.low.change,(()=>{const{value:e,low:t,high:l}=this.model;null!=t&&null!=l&&(0,p.assert)(t<=l,\"Invalid bounds, low must be inferior to high\"),null!=e&&null!=t&&e{const{value:e,low:t,high:l}=this.model;null!=t&&null!=l&&(0,p.assert)(l>=t,\"Invalid bounds, high must be superior to low\"),null!=e&&null!=l&&e>l&&(this.model.value=l)})),this.connect(this.model.properties.high.change,(()=>this.input_el.placeholder=this.model.placeholder)),this.connect(this.model.properties.disabled.change,(()=>this.input_el.disabled=this.model.disabled)),this.connect(this.model.properties.placeholder.change,(()=>this.input_el.placeholder=this.model.placeholder))}get format_value(){return null!=this.model.value?this.model.pretty(this.model.value):\"\"}_set_input_filter(e){this.input_el.addEventListener(\"input\",(()=>{const{selectionStart:t,selectionEnd:l}=this.input_el;if(e(this.input_el.value))this.old_value=this.input_el.value;else{const e=this.old_value.length-this.input_el.value.length;this.input_el.value=this.old_value,t&&l&&this.input_el.setSelectionRange(t-1,l+e)}}))}render(){super.render(),this.input_el=(0,r.input)({type:\"text\",class:_.input,name:this.model.name,value:this.format_value,disabled:this.model.disabled,placeholder:this.model.placeholder}),this.old_value=this.format_value,this.set_input_filter(),this.input_el.addEventListener(\"change\",(()=>this.change_input())),this.input_el.addEventListener(\"focusout\",(()=>this.input_el.value=this.format_value)),this.group_el.appendChild(this.input_el)}set_input_filter(){\"int\"==this.model.mode?this._set_input_filter((e=>m.test(e))):\"float\"==this.model.mode&&this._set_input_filter((e=>c.test(e)))}bound_value(e){let t=e;const{low:l,high:i}=this.model;return t=null!=l?Math.max(l,t):t,t=null!=i?Math.min(i,t):t,t}get value(){let e=\"\"!=this.input_el.value?Number(this.input_el.value):null;return null!=e&&(e=this.bound_value(e)),e}change_input(){null==this.value?this.model.value=null:Number.isNaN(this.value)||(this.model.value=this.value)}}l.NumericInputView=v,v.__name__=\"NumericInputView\";class g extends o.InputWidget{constructor(e){super(e)}_formatter(e,t){return(0,d.isString)(t)?h.format(e,t):t.doFormat([e],{loc:0})[0]}pretty(e){return null!=this.format?this._formatter(e,this.format):`${e}`}}l.NumericInput=g,u=g,g.__name__=\"NumericInput\",u.prototype.default_view=v,u.define((({Number:e,String:t,Enum:l,Ref:i,Or:n,Nullable:s})=>({value:[s(e),null],placeholder:[t,\"\"],mode:[l(\"int\",\"float\"),\"int\"],format:[s(n(t,i(a.TickFormatter))),null],low:[s(e),null],high:[s(e),null]})))},\n 479: function _(e,t,r,s,n){var a;s();const o=e(468),_=e(43);class p extends o.MarkupView{render(){super.render();const e=(0,_.pre)({style:{overflow:\"auto\"}},this.model.text);this.markup_el.appendChild(e)}}r.PreTextView=p,p.__name__=\"PreTextView\";class u extends o.Markup{constructor(e){super(e)}}r.PreText=u,a=u,u.__name__=\"PreText\",a.prototype.default_view=p},\n 480: function _(t,o,e,a,i){a();const n=t(1);var u;const s=t(452),c=t(43),_=(0,n.__importStar)(t(318));class r extends s.ButtonGroupView{change_active(t){this.model.active!==t&&(this.model.active=t)}_update_active(){const{active:t}=this.model;this._buttons.forEach(((o,e)=>{(0,c.classes)(o).toggle(_.active,t===e)}))}}e.RadioButtonGroupView=r,r.__name__=\"RadioButtonGroupView\";class l extends s.ButtonGroup{constructor(t){super(t)}}e.RadioButtonGroup=l,u=l,l.__name__=\"RadioButtonGroup\",u.prototype.default_view=r,u.define((({Int:t,Nullable:o})=>({active:[o(t),null]})))},\n 481: function _(e,n,i,t,a){t();const s=e(1);var l;const o=e(43),d=e(34),p=e(455),r=(0,s.__importStar)(e(449));class u extends p.InputGroupView{render(){super.render();const e=(0,o.div)({class:[r.input_group,this.model.inline?r.inline:null]});this.el.appendChild(e);const n=(0,d.uniqueId)(),{active:i,labels:t}=this.model;this._inputs=[];for(let a=0;athis.change_active(a))),this._inputs.push(s),this.model.disabled&&(s.disabled=!0),a==i&&(s.checked=!0);const l=(0,o.label)(s,(0,o.span)(t[a]));e.appendChild(l)}}change_active(e){this.model.active=e}}i.RadioGroupView=u,u.__name__=\"RadioGroupView\";class c extends p.InputGroup{constructor(e){super(e)}}i.RadioGroup=c,l=c,c.__name__=\"RadioGroup\",l.prototype.default_view=u,l.define((({Boolean:e,Int:n,String:i,Array:t,Nullable:a})=>({active:[a(n),null],labels:[t(i),[]],inline:[e,!1]})))},\n 482: function _(e,r,t,a,i){a();var n;const o=(0,e(1).__importStar)(e(153)),s=e(461),_=e(8);class d extends s.AbstractRangeSliderView{}t.RangeSliderView=d,d.__name__=\"RangeSliderView\";class c extends s.AbstractSlider{constructor(e){super(e),this.behaviour=\"drag\",this.connected=[!1,!0,!1]}_formatter(e,r){return(0,_.isString)(r)?o.format(e,r):r.compute(e)}}t.RangeSlider=c,n=c,c.__name__=\"RangeSlider\",n.prototype.default_view=d,n.override({format:\"0[.]00\"})},\n 483: function _(e,t,n,s,i){s();const l=e(1);var u;const a=e(43),o=e(8),p=e(13),_=e(448),r=(0,l.__importStar)(e(449));class c extends _.InputWidgetView{constructor(){super(...arguments),this._known_values=new Set}connect_signals(){super.connect_signals();const{value:e,options:t}=this.model.properties;this.on_change(e,(()=>{this._update_value()})),this.on_change(t,(()=>{(0,a.empty)(this.input_el),(0,a.append)(this.input_el,...this.options_el()),this._update_value()}))}options_el(){const{_known_values:e}=this;function t(t){return t.map((t=>{let n,s;return(0,o.isString)(t)?n=s=t:[n,s]=t,e.add(n),(0,a.option)({value:n},s)}))}e.clear();const{options:n}=this.model;return(0,o.isArray)(n)?t(n):(0,p.entries)(n).map((([e,n])=>(0,a.optgroup)({label:e},t(n))))}render(){super.render(),this.input_el=(0,a.select)({class:r.input,name:this.model.name,disabled:this.model.disabled},this.options_el()),this._update_value(),this.input_el.addEventListener(\"change\",(()=>this.change_input())),this.group_el.appendChild(this.input_el)}change_input(){const e=this.input_el.value;this.model.value=e,super.change_input()}_update_value(){const{value:e}=this.model;this._known_values.has(e)?this.input_el.value=e:this.input_el.removeAttribute(\"value\")}}n.SelectView=c,c.__name__=\"SelectView\";class h extends _.InputWidget{constructor(e){super(e)}}n.Select=h,u=h,h.__name__=\"Select\",u.prototype.default_view=c,u.define((({String:e,Array:t,Tuple:n,Dict:s,Or:i})=>{const l=t(i(e,n(e,e)));return{value:[e,\"\"],options:[i(l,s(l)),[]]}}))},\n 484: function _(e,t,r,i,a){i();var o;const s=(0,e(1).__importStar)(e(153)),_=e(461),n=e(8);class c extends _.AbstractSliderView{}r.SliderView=c,c.__name__=\"SliderView\";class d extends _.AbstractSlider{constructor(e){super(e),this.behaviour=\"tap\",this.connected=[!0,!1]}_formatter(e,t){return(0,n.isString)(t)?s.format(e,t):t.compute(e)}}r.Slider=d,o=d,d.__name__=\"Slider\",o.prototype.default_view=c,o.override({format:\"0[.]00\"})},\n 485: function _(e,t,i,n,s){var l;n();const o=e(478),r=e(43),{min:a,max:h,floor:_,abs:u}=Math;function d(e){return _(e)!==e?e.toFixed(16).replace(/0+$/,\"\").split(\".\")[1].length:0}class p extends o.NumericInputView{*buttons(){yield this.btn_up_el,yield this.btn_down_el}initialize(){super.initialize(),this._handles={interval:void 0,timeout:void 0},this._interval=200}connect_signals(){super.connect_signals();const e=this.model.properties;this.on_change(e.disabled,(()=>{for(const e of this.buttons())(0,r.toggle_attribute)(e,\"disabled\",this.model.disabled)}))}render(){super.render(),this.wrapper_el=(0,r.div)({class:\"bk-spin-wrapper\"}),this.group_el.replaceChild(this.wrapper_el,this.input_el),this.btn_up_el=(0,r.button)({class:\"bk-spin-btn bk-spin-btn-up\"}),this.btn_down_el=(0,r.button)({class:\"bk-spin-btn bk-spin-btn-down\"}),this.wrapper_el.appendChild(this.input_el),this.wrapper_el.appendChild(this.btn_up_el),this.wrapper_el.appendChild(this.btn_down_el);for(const e of this.buttons())(0,r.toggle_attribute)(e,\"disabled\",this.model.disabled),e.addEventListener(\"mousedown\",(e=>this._btn_mouse_down(e))),e.addEventListener(\"mouseup\",(()=>this._btn_mouse_up())),e.addEventListener(\"mouseleave\",(()=>this._btn_mouse_leave()));this.input_el.addEventListener(\"keydown\",(e=>this._input_key_down(e))),this.input_el.addEventListener(\"keyup\",(()=>this.model.value_throttled=this.model.value)),this.input_el.addEventListener(\"wheel\",(e=>this._input_mouse_wheel(e))),this.input_el.addEventListener(\"wheel\",function(e,t,i=!1){let n;return function(...s){const l=this,o=i&&void 0===n;void 0!==n&&clearTimeout(n),n=setTimeout((function(){n=void 0,i||e.apply(l,s)}),t),o&&e.apply(l,s)}}((()=>{this.model.value_throttled=this.model.value}),this.model.wheel_wait,!1))}get precision(){const{low:e,high:t,step:i}=this.model,n=d;return h(n(u(null!=e?e:0)),n(u(null!=t?t:0)),n(u(i)))}remove(){this._stop_incrementation(),super.remove()}_start_incrementation(e){clearInterval(this._handles.interval),this._counter=0;const{step:t}=this.model,i=e=>{if(this._counter+=1,this._counter%5==0){const t=Math.floor(this._counter/5);t<10?(clearInterval(this._handles.interval),this._handles.interval=setInterval((()=>i(e)),this._interval/(t+1))):t>=10&&t<=13&&(clearInterval(this._handles.interval),this._handles.interval=setInterval((()=>i(2*e)),this._interval/10))}this.increment(e)};this._handles.interval=setInterval((()=>i(e*t)),this._interval)}_stop_incrementation(){clearTimeout(this._handles.timeout),this._handles.timeout=void 0,clearInterval(this._handles.interval),this._handles.interval=void 0,this.model.value_throttled=this.model.value}_btn_mouse_down(e){e.preventDefault();const t=e.currentTarget===this.btn_up_el?1:-1;this.increment(t*this.model.step),this.input_el.focus(),this._handles.timeout=setTimeout((()=>this._start_incrementation(t)),this._interval)}_btn_mouse_up(){this._stop_incrementation()}_btn_mouse_leave(){this._stop_incrementation()}_input_mouse_wheel(e){if(document.activeElement===this.input_el){e.preventDefault();const t=e.deltaY>0?-1:1;this.increment(t*this.model.step)}}_input_key_down(e){switch(e.keyCode){case r.Keys.Up:return e.preventDefault(),this.increment(this.model.step);case r.Keys.Down:return e.preventDefault(),this.increment(-this.model.step);case r.Keys.PageUp:return e.preventDefault(),this.increment(this.model.page_step_multiplier*this.model.step);case r.Keys.PageDown:return e.preventDefault(),this.increment(-this.model.page_step_multiplier*this.model.step)}}adjust_to_precision(e){return this.bound_value(Number(e.toFixed(this.precision)))}increment(e){const{low:t,high:i}=this.model;null==this.model.value?e>0?this.model.value=null!=t?t:null!=i?a(0,i):0:e<0&&(this.model.value=null!=i?i:null!=t?h(t,0):0):this.model.value=this.adjust_to_precision(this.model.value+e)}change_input(){super.change_input(),this.model.value_throttled=this.model.value}}i.SpinnerView=p,p.__name__=\"SpinnerView\";class m extends o.NumericInput{constructor(e){super(e)}}i.Spinner=m,l=m,m.__name__=\"Spinner\",l.prototype.default_view=p,l.define((({Number:e,Nullable:t})=>({value_throttled:[t(e),null],step:[e,1],page_step_multiplier:[e,10],wheel_wait:[e,100]}))),l.override({mode:\"float\"})},\n 486: function _(e,t,s,n,i){n();const o=e(1);var r;const c=e(447),l=e(43),p=(0,o.__importStar)(e(449));class _ extends c.TextLikeInputView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.rows.change,(()=>this.input_el.rows=this.model.rows)),this.connect(this.model.properties.cols.change,(()=>this.input_el.cols=this.model.cols))}_render_input(){this.input_el=(0,l.textarea)({class:p.input})}render(){super.render(),this.input_el.cols=this.model.cols,this.input_el.rows=this.model.rows}}s.TextAreaInputView=_,_.__name__=\"TextAreaInputView\";class a extends c.TextLikeInput{constructor(e){super(e)}}s.TextAreaInput=a,r=a,a.__name__=\"TextAreaInput\",r.prototype.default_view=_,r.define((({Int:e})=>({cols:[e,20],rows:[e,2]}))),r.override({max_length:500})},\n 487: function _(e,t,s,c,i){c();const o=e(1);var a;const n=e(441),l=e(43),_=(0,o.__importStar)(e(318));class r extends n.AbstractButtonView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,(()=>this._update_active()))}render(){super.render(),this._update_active()}click(){this.model.active=!this.model.active,super.click()}_update_active(){(0,l.classes)(this.button_el).toggle(_.active,this.model.active)}}s.ToggleView=r,r.__name__=\"ToggleView\";class g extends n.AbstractButton{constructor(e){super(e)}}s.Toggle=g,a=g,g.__name__=\"Toggle\",a.prototype.default_view=r,a.define((({Boolean:e})=>({active:[e,!1]}))),a.override({label:\"Toggle\"})},\n }, 439, {\"models/widgets/main\":439,\"models/widgets/index\":440,\"models/widgets/abstract_button\":441,\"models/widgets/control\":442,\"models/widgets/widget\":512,\"models/widgets/abstract_icon\":444,\"models/widgets/autocomplete_input\":445,\"models/widgets/text_input\":446,\"models/widgets/text_like_input\":447,\"models/widgets/input_widget\":448,\"styles/widgets/inputs.css\":449,\"models/widgets/button\":450,\"models/widgets/checkbox_button_group\":451,\"models/widgets/button_group\":452,\"models/widgets/oriented_control\":453,\"models/widgets/checkbox_group\":454,\"models/widgets/input_group\":455,\"models/widgets/color_picker\":456,\"models/widgets/date_picker\":457,\"styles/widgets/flatpickr.css\":459,\"models/widgets/date_range_slider\":460,\"models/widgets/abstract_slider\":461,\"styles/widgets/sliders.css\":463,\"styles/widgets/nouislider.css\":464,\"models/widgets/date_slider\":465,\"models/widgets/datetime_range_slider\":466,\"models/widgets/div\":467,\"models/widgets/markup\":468,\"styles/clearfix.css\":469,\"models/widgets/dropdown\":470,\"models/widgets/file_input\":471,\"models/widgets/multiselect\":472,\"models/widgets/paragraph\":473,\"models/widgets/password_input\":474,\"models/widgets/multichoice\":475,\"styles/widgets/choices.css\":477,\"models/widgets/numeric_input\":478,\"models/widgets/pretext\":479,\"models/widgets/radio_button_group\":480,\"models/widgets/radio_group\":481,\"models/widgets/range_slider\":482,\"models/widgets/selectbox\":483,\"models/widgets/slider\":484,\"models/widgets/spinner\":485,\"models/widgets/textarea_input\":486,\"models/widgets/toggle\":487}, {});});\n\n /* END bokeh-widgets.min.js */\n },\n function(Bokeh) {\n /* BEGIN bokeh-tables.min.js */\n /*!\n * Copyright (c) 2012 - 2022, Anaconda, Inc., and Bokeh Contributors\n * All rights reserved.\n * \n * Redistribution and use in source and binary forms, with or without modification,\n * are permitted provided that the following conditions are met:\n * \n * Redistributions of source code must retain the above copyright notice,\n * this list of conditions and the following disclaimer.\n * \n * Redistributions in binary form must reproduce the above copyright notice,\n * this list of conditions and the following disclaimer in the documentation\n * and/or other materials provided with the distribution.\n * \n * Neither the name of Anaconda nor the names of any contributors\n * may be used to endorse or promote products derived from this software\n * without specific prior written permission.\n * \n * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n * THE POSSIBILITY OF SUCH DAMAGE.\n */\n (function(root, factory) {\n factory(root[\"Bokeh\"], \"2.4.3\");\n })(this, function(Bokeh, version) {\n let define;\n return (function(modules, entry, aliases, externals) {\n const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? Bokeh[version] : Bokeh);\n if (bokeh != null) {\n return bokeh.register_plugin(modules, entry, aliases);\n } else {\n throw new Error(\"Cannot find Bokeh \" + version + \". You have to load it prior to loading plugins.\");\n }\n })\n ({\n 488: function _(t,e,o,r,s){r();const _=(0,t(1).__importStar)(t(489));o.Tables=_;(0,t(7).register_models)(_)},\n 489: function _(g,a,r,e,t){e();const o=g(1);(0,o.__exportStar)(g(490),r),(0,o.__exportStar)(g(493),r),t(\"DataTable\",g(496).DataTable),t(\"TableColumn\",g(514).TableColumn),t(\"TableWidget\",g(513).TableWidget);var n=g(516);t(\"AvgAggregator\",n.AvgAggregator),t(\"MinAggregator\",n.MinAggregator),t(\"MaxAggregator\",n.MaxAggregator),t(\"SumAggregator\",n.SumAggregator);var A=g(517);t(\"GroupingInfo\",A.GroupingInfo),t(\"DataCube\",A.DataCube)},\n 490: function _(e,t,i,s,a){s();const r=e(1);var l,n,u,d,o,p,_,c,h;const E=e(43),V=e(226),m=e(53),f=e(491),v=(0,r.__importStar)(e(492));class w extends V.DOMView{constructor(e){const{model:t,parent:i}=e.column;super(Object.assign({model:t,parent:i},e)),this.args=e,this.initialize(),this.render()}get emptyValue(){return null}initialize(){super.initialize(),this.inputEl=this._createInput(),this.defaultValue=null}async lazy_initialize(){throw new Error(\"unsupported\")}css_classes(){return super.css_classes().concat(v.cell_editor)}render(){super.render(),this.args.container.append(this.el),this.el.appendChild(this.inputEl),this.renderEditor(),this.disableNavigation()}renderEditor(){}disableNavigation(){this.inputEl.addEventListener(\"keydown\",(e=>{switch(e.keyCode){case E.Keys.Left:case E.Keys.Right:case E.Keys.Up:case E.Keys.Down:case E.Keys.PageUp:case E.Keys.PageDown:e.stopImmediatePropagation()}}))}destroy(){this.remove()}focus(){this.inputEl.focus()}show(){}hide(){}position(){}getValue(){return this.inputEl.value}setValue(e){this.inputEl.value=e}serializeValue(){return this.getValue()}isValueChanged(){return!(\"\"==this.getValue()&&null==this.defaultValue)&&this.getValue()!==this.defaultValue}applyValue(e,t){const i=this.args.grid.getData(),s=i.index.indexOf(e[f.DTINDEX_NAME]);i.setField(s,this.args.column.field,t)}loadValue(e){const t=e[this.args.column.field];this.defaultValue=null!=t?t:this.emptyValue,this.setValue(this.defaultValue)}validateValue(e){if(this.args.column.validator){const t=this.args.column.validator(e);if(!t.valid)return t}return{valid:!0,msg:null}}validate(){return this.validateValue(this.getValue())}}i.CellEditorView=w,w.__name__=\"CellEditorView\";class g extends m.Model{}i.CellEditor=g,g.__name__=\"CellEditor\";class x extends w{get emptyValue(){return\"\"}_createInput(){return(0,E.input)({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}}i.StringEditorView=x,x.__name__=\"StringEditorView\";class y extends g{}i.StringEditor=y,l=y,y.__name__=\"StringEditor\",l.prototype.default_view=x,l.define((({String:e,Array:t})=>({completions:[t(e),[]]})));class I extends w{_createInput(){return(0,E.textarea)()}renderEditor(){this.inputEl.focus(),this.inputEl.select()}}i.TextEditorView=I,I.__name__=\"TextEditorView\";class b extends g{}i.TextEditor=b,n=b,b.__name__=\"TextEditor\",n.prototype.default_view=I;class N extends w{_createInput(){return(0,E.select)()}renderEditor(){for(const e of this.model.options)this.inputEl.appendChild((0,E.option)({value:e},e));this.focus()}}i.SelectEditorView=N,N.__name__=\"SelectEditorView\";class C extends g{}i.SelectEditor=C,u=C,C.__name__=\"SelectEditor\",u.prototype.default_view=N,u.define((({String:e,Array:t})=>({options:[t(e),[]]})));class D extends w{_createInput(){return(0,E.input)({type:\"text\"})}}i.PercentEditorView=D,D.__name__=\"PercentEditorView\";class S extends g{}i.PercentEditor=S,d=S,S.__name__=\"PercentEditor\",d.prototype.default_view=D;class k extends w{_createInput(){return(0,E.input)({type:\"checkbox\"})}renderEditor(){this.focus()}loadValue(e){this.defaultValue=!!e[this.args.column.field],this.inputEl.checked=this.defaultValue}serializeValue(){return this.inputEl.checked}}i.CheckboxEditorView=k,k.__name__=\"CheckboxEditorView\";class z extends g{}i.CheckboxEditor=z,o=z,z.__name__=\"CheckboxEditor\",o.prototype.default_view=k;class P extends w{_createInput(){return(0,E.input)({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}remove(){super.remove()}serializeValue(){var e;return null!==(e=parseInt(this.getValue(),10))&&void 0!==e?e:0}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}validateValue(e){return isNaN(e)?{valid:!1,msg:\"Please enter a valid integer\"}:super.validateValue(e)}}i.IntEditorView=P,P.__name__=\"IntEditorView\";class T extends g{}i.IntEditor=T,p=T,T.__name__=\"IntEditor\",p.prototype.default_view=P,p.define((({Int:e})=>({step:[e,1]})));class K extends w{_createInput(){return(0,E.input)({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}remove(){super.remove()}serializeValue(){var e;return null!==(e=parseFloat(this.getValue()))&&void 0!==e?e:0}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}validateValue(e){return isNaN(e)?{valid:!1,msg:\"Please enter a valid number\"}:super.validateValue(e)}}i.NumberEditorView=K,K.__name__=\"NumberEditorView\";class A extends g{}i.NumberEditor=A,_=A,A.__name__=\"NumberEditor\",_.prototype.default_view=K,_.define((({Number:e})=>({step:[e,.01]})));class M extends w{_createInput(){return(0,E.input)({type:\"text\"})}}i.TimeEditorView=M,M.__name__=\"TimeEditorView\";class O extends g{}i.TimeEditor=O,c=O,O.__name__=\"TimeEditor\",c.prototype.default_view=M;class F extends w{_createInput(){return(0,E.input)({type:\"text\"})}get emptyValue(){return new Date}renderEditor(){this.inputEl.focus(),this.inputEl.select()}destroy(){super.destroy()}show(){super.show()}hide(){super.hide()}position(){return super.position()}getValue(){}setValue(e){}}i.DateEditorView=F,F.__name__=\"DateEditorView\";class L extends g{}i.DateEditor=L,h=L,L.__name__=\"DateEditor\",h.prototype.default_view=F},\n 491: function _(_,n,i,t,d){t(),i.DTINDEX_NAME=\"__bkdt_internal_index__\"},\n 492: function _(e,l,o,t,r){t(),o.root=\"bk-root\",o.data_table=\"bk-data-table\",o.cell_special_defaults=\"bk-cell-special-defaults\",o.cell_select=\"bk-cell-select\",o.cell_index=\"bk-cell-index\",o.header_index=\"bk-header-index\",o.cell_editor=\"bk-cell-editor\",o.cell_editor_completion=\"bk-cell-editor-completion\",o.default='.bk-root .bk-data-table{box-sizing:content-box;font-size:11px;}.bk-root .bk-data-table input[type=\"checkbox\"]{margin-left:4px;margin-right:4px;}.bk-root 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "ms_data.plt.spatial_scatter(\n", " scope=slice_generator[:],\n", " mode='integrate',\n", " plotting_scale_width=2, # the width of scale\n", " reorganize_coordinate=8, # the number of plots in each row\n", " # horizontal_offset_additional=20, # adjustment for horizontal distance\n", " # vertical_offset_additional=20 # adjustment for vertical distance\n", " )" ] }, { "cell_type": "markdown", "id": "2345b93e", "metadata": {}, "source": [ "## Preparation of Input" ] }, { "cell_type": "markdown", "id": "b58ca6b7", "metadata": {}, "source": [ "Before performing the function, make sure the preparation of following input files: \n", "\n", "1. Spatially resolved transcriptomics data: the matrix of gene expression for each single cell. Each column represents a gene, and each row represents a SRT sample. Values in the matrix are typically gene expression levels, either raw counts or normalized expression (raw counts prefered). SRT expression matrix of bin200 in the mouse brain generated by Stereo-seq is used here, through \n", " **[example data](http://upload.dcs.cloud:8090/share/bb6fab82-2c16-46b2-a95e-6931338f31bf)**.\n", "\n", "2. Transcription factor gene list: a list of transcription factors of interest. This list is requried for the network inference step. Data can be downloaded through\n", " **[pySCENIC_TF_list](https://github.com/aertslab/pySCENIC/tree/master/resources)** and\n", " **[TF_lists](https://resources.aertslab.org/cistarget/tf_lists/)**.\n", "\n", "3. Ranked whole genome databases: Databases ranking the whole genome of species of interest based on transcription factors in feather v2 format. Data can typically be downloaded from public databases, through \n", " **[cisTarget databases](https://resources.aertslab.org/cistarget/databases/)**.\n", "\n", "4. Motif to TF annotation databases: Motif databases (in tbl format) serve as a reference for identifying potential TF binding sites in the genome and inferring the regulatory relationships between TFs and target genes. Data can be downloaded through \n", " **[Motif2TF annotations](https://resources.aertslab.org/cistarget/motif2tf/)**." ] }, { "cell_type": "markdown", "id": "a58172fd", "metadata": {}, "source": [ "
\n", " \n", "**Note**\n", " \n", "Please note that in the 3D gene regulatory network, the z coordinate information added in the calculation can only be used to calculate the TF-gene-importance results using the `hotspot` method [[DeTomaso21](https://doi.org/10.1016/j.cels.2021.04.005)].\n", " \n", "
" ] }, { "cell_type": "code", "execution_count": 6, "id": "d8cee515", "metadata": { "ExecuteTime": { "end_time": "2023-05-26T03:00:59.978993Z", "start_time": "2023-05-26T01:47:40.960980Z" }, "execution": { "iopub.execute_input": "2023-11-15T05:58:14.468766Z", "iopub.status.busy": "2023-11-15T05:58:14.468226Z", "iopub.status.idle": "2023-11-15T07:02:23.463731Z", "shell.execute_reply": "2023-11-15T07:02:23.462407Z", "shell.execute_reply.started": "2023-11-15T05:58:14.468745Z" }, "tags": [] }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "[2023-11-15 13:58:14][Stereo][39122][MainThread][140302246872896][ms_pipeline][121][INFO]: register algorithm regulatory_network_inference to -140302023674512\n", "[2023-11-15 13:58:14][Stereo][39122][MainThread][140302246872896][main][96][INFO]: the raw expression matrix will be used.\n", "[2023-11-15 13:59:19][Stereo][39122][MainThread][140302246872896][main][386][INFO]: Loading ranked database...\n", "[2023-11-15 13:59:19][Stereo][39122][MainThread][140302246872896][main][125][INFO]: If data belongs to 3D, it only can be runned as hotspot method now\n", "[2023-11-15 13:59:19][Stereo][39122][MainThread][140302246872896][main][229][INFO]: cached file not found, running hotspot now\n", "[2023-11-15 14:04:08][Stereo][39122][MainThread][140302246872896][main][254][INFO]: compute_autocorrelations()\n", "100%|██████████| 14405/14405 [01:33<00:00, 154.04it/s]\n", "[2023-11-15 14:05:57][Stereo][39122][MainThread][140302246872896][main][256][INFO]: compute_autocorrelations() done\n", "[2023-11-15 14:05:57][Stereo][39122][MainThread][140302246872896][main][259][INFO]: compute_local_correlations\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Computing pair-wise local correlation on 2513 features...\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 2513/2513 [00:27<00:00, 90.55it/s]\n", "100%|██████████| 3156328/3156328 [25:20<00:00, 2075.74it/s]\n", "[2023-11-15 14:33:07][Stereo][39122][MainThread][140302246872896][main][262][INFO]: Network Inference DONE\n", "[2023-11-15 14:33:07][Stereo][39122][MainThread][140302246872896][main][263][INFO]: Hotspot: create 2513 features\n", "[2023-11-15 14:33:07][Stereo][39122][MainThread][140302246872896][main][264][INFO]: (2513, 2513)\n", "[2023-11-15 14:33:07][Stereo][39122][MainThread][140302246872896][main][269][INFO]: detected 63 predefined TF in data\n", "\n", "2023-11-15 14:33:36,688 - pyscenic.utils - INFO - Calculating Pearson correlations.\n", "INFO:pyscenic.utils:Calculating Pearson correlations.\n", "\n", "2023-11-15 14:33:37,447 - pyscenic.utils - WARNING - Note on correlation calculation: the default behaviour for calculating the correlations has changed after pySCENIC verion 0.9.16. Previously, the default was to calculate the correlation between a TF and target gene using only cells with non-zero expression values (mask_dropouts=True). The current default is now to use all cells to match the behavior of the R verision of SCENIC. The original settings can be retained by setting 'rho_mask_dropouts=True' in the modules_from_adjacencies function, or '--mask_dropouts' from the CLI.\n", "\tDropout masking is currently set to [False].\n", "WARNING:pyscenic.utils:Note on correlation calculation: the default behaviour for calculating the correlations has changed after pySCENIC verion 0.9.16. Previously, the default was to calculate the correlation between a TF and target gene using only cells with non-zero expression values (mask_dropouts=True). The current default is now to use all cells to match the behavior of the R verision of SCENIC. The original settings can be retained by setting 'rho_mask_dropouts=True' in the modules_from_adjacencies function, or '--mask_dropouts' from the CLI.\n", "\tDropout masking is currently set to [False].\n", "\n", "2023-11-15 14:34:08,578 - pyscenic.utils - INFO - Creating modules.\n", "INFO:pyscenic.utils:Creating modules.\n", "[2023-11-15 14:34:22][Stereo][39122][MainThread][140302246872896][main][439][INFO]: cached file not found, running prune modules now\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "[########################################] | 100% Completed | 423.25 s\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "[2023-11-15 14:41:27][Stereo][39122][MainThread][140302246872896][main][483][INFO]: cached file not found, calculating auc_activity_level now\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Create regulons from a dataframe of enriched features.\n", "Additional columns saved: []\n" ] } ], "source": [ "tfs_fn = '../data/grn/test_mm_mgi_tfs.txt'\n", "database_fn = '../data/grn/mm10_10kbp_up_10kbp_down_full_tx_v10_clust.genes_vs_motifs.rankings.feather'\n", "motif_anno_fn = '../data/grn/motifs-v10nr_clust-nr.mgi-m0.001-o0.0.tbl'\n", "\n", "# ms_data.tl.regulatory_network_inference(database_fn, motif_anno_fn, tfs_fn, save=True, num_workers=10, method='hotspot', ThreeD_slice=True, auc_threshold=0.05, prune_kwargs={'rank_threshold': 8000, 'auc_threshold': 0.05}, mode='integrate')\n", "ms_data.tl.regulatory_network_inference(\n", " database_fn, \n", " motif_anno_fn, \n", " tfs_fn, \n", " save_regulons=True, \n", " num_workers=20, \n", " method='hotspot', \n", " ThreeD_slice=True,\n", " use_raw=True,\n", " mode='integrate'\n", " )" ] }, { "cell_type": "markdown", "id": "86cfba6a", "metadata": {}, "source": [ "
\n", " \n", "**Note**\n", "\n", "If `AssertionError: assert maxauc > 0` is thrown, it may be due to most of the genes are not mapped to the genome ranking databases or the majority of regulons' target genes have low weights, you can try to set `auc_threshold` to lower and/or `rank_threshold` to higher to avoid this error.\n", "\n", "For example:\n", "\n", " ms_data.tl.regulatory_network_inference(database_fn, motif_anno_fn, tfs_fn, save=True, num_workers=10, method='hotspot', ThreeD_slice=True, auc_threshold=0.1, prune_kwargs={'rank_threshold': 4000, 'auc_threshold': 0.1}, mode='integrate')\n", " \n", "
" ] }, { "cell_type": "markdown", "id": "566af83e", "metadata": {}, "source": [ "## Observation of results" ] }, { "cell_type": "code", "execution_count": 7, "id": "e7ce5ef2-ec07-4f79-a90c-8dc9f2c90f11", "metadata": { "execution": { "iopub.execute_input": "2023-11-15T07:02:23.468913Z", "iopub.status.busy": "2023-11-15T07:02:23.468635Z", "iopub.status.idle": "2023-11-15T07:02:23.495123Z", "shell.execute_reply": "2023-11-15T07:02:23.494316Z", "shell.execute_reply.started": "2023-11-15T07:02:23.468880Z" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "ms_data: {'0': (870, 30254), '1': (344, 30254), '2': (195, 30254), '3': (190, 30254), '4': (34, 30254), '5': (493, 30254), '6': (285, 30254), '7': (753, 30254), '8': (731, 30254), '9': (412, 30254), '10': (541, 30254), '11': (1103, 30254), '12': (1051, 30254), '13': (1293, 30254), '14': (1269, 30254), '15': (1503, 30254), '16': (1872, 30254), '17': (2071, 30254), '18': (2124, 30254), '19': (2221, 30254), '20': (2198, 30254), '21': (1992, 30254), '22': (1837, 30254), '23': (2010, 30254), '24': (1977, 30254), '25': (2078, 30254), '26': (2255, 30254), '27': (664, 30254), '28': (2343, 30254), '29': (2168, 30254), '30': (895, 30254), '31': (1478, 30254), '32': (1691, 30254), '33': (1370, 30254), '34': (2911, 30254), '35': (2501, 30254), '36': (2194, 30254), '37': (2023, 30254), '38': (1443, 30254), '39': (1190, 30254), '40': (1461, 30254), '41': (2760, 30254), '42': (2662, 30254), '43': (2391, 30254), '44': (2490, 30254), '45': (2104, 30254), '46': (1557, 30254), '47': (2253, 30254), '48': (1969, 30254), '49': (2448, 30254), '50': (2487, 30254), '51': (2226, 30254), '52': (2124, 30254), '53': (1282, 30254), '54': (1098, 30254), '55': (873, 30254), '56': (661, 30254), '57': (454, 30254), '58': (423, 30254)}\n", "num_slice: 59\n", "names: ['0', '1', '2', '3', '4', '5', '6', '7', '8', '9', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '50', '51', '52', '53', '54', '55', '56', '57', '58']\n", "obs: ['batch', 'total_counts', 'n_genes_by_counts', 'pct_counts_mt']\n", "var: ['n_cells', 'n_counts', 'mean_umi']\n", "relationship: continuous\n", "var_type: intersect to 30254\n", "mss: [\"scope_[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58]:['regulatory_network_inference']\"]" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ms_data" ] }, { "cell_type": "markdown", "id": "26f330c4", "metadata": {}, "source": [ "AUCell enrichment scores quantify activity of each regulon (a gene set) in each cell. In other words, the AUC represents the proportion of expressed genes in the signature and their relative expression values compared to the other genes within the cell." ] }, { "cell_type": "code", "execution_count": null, "id": "8a975d25-4a1c-4b0f-b078-5259d899fdf9", "metadata": { "execution": { "iopub.status.busy": "2023-11-15T08:44:02.295606Z", "iopub.status.idle": "2023-11-15T08:44:02.296261Z", "shell.execute_reply": "2023-11-15T08:44:02.296097Z", "shell.execute_reply.started": "2023-11-15T08:44:02.296077Z" } }, "outputs": [], "source": [ "scope_key = 'scope_[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58]'" ] }, { "cell_type": "code", "execution_count": null, "id": "560b3048", "metadata": { "ExecuteTime": { "end_time": "2023-05-26T03:01:01.276860Z", "start_time": "2023-05-26T03:01:01.218009Z" }, "execution": { "iopub.status.busy": "2023-11-15T08:44:02.316360Z", "iopub.status.idle": "2023-11-15T08:44:02.316768Z", "shell.execute_reply": "2023-11-15T08:44:02.316613Z", "shell.execute_reply.started": "2023-11-15T08:44:02.316595Z" }, "tags": [] }, "outputs": [], "source": [ "ms_data.mss[scope_key]['regulatory_network_inference']['auc_matrix']" ] }, { "cell_type": "markdown", "id": "8c3908f0", "metadata": {}, "source": [ "Index of relative importance between TFs and their target genes." ] }, { "cell_type": "code", "execution_count": null, "id": "67e398b0", "metadata": { "ExecuteTime": { "end_time": "2023-05-26T03:01:01.298152Z", "start_time": "2023-05-26T03:01:01.283584Z" }, "execution": { "iopub.status.busy": "2023-11-15T08:44:02.351289Z", "iopub.status.idle": "2023-11-15T08:44:02.351852Z", "shell.execute_reply": "2023-11-15T08:44:02.351695Z", "shell.execute_reply.started": "2023-11-15T08:44:02.351678Z" }, "tags": [] }, "outputs": [], "source": [ "ms_data.mss[scope_key]['regulatory_network_inference']['adjacencies']" ] }, { "cell_type": "markdown", "id": "4f424561", "metadata": {}, "source": [ "
\n", " \n", "**Note**\n", " \n", "Please note that for multi samples, batch correction can be performed before clustering if necessary.\n", " \n", "
" ] }, { "cell_type": "markdown", "id": "a916545f-fcd5-47e2-a857-021d4440ba99", "metadata": {}, "source": [ "## Clustering" ] }, { "cell_type": "code", "execution_count": 10, "id": "f213300d", "metadata": { "execution": { "iopub.execute_input": "2023-11-15T07:02:23.516137Z", "iopub.status.busy": "2023-11-15T07:02:23.515537Z", "iopub.status.idle": "2023-11-15T08:04:26.424952Z", "shell.execute_reply": "2023-11-15T08:04:26.423567Z", "shell.execute_reply.started": "2023-11-15T07:02:23.516113Z" } }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "[2023-11-15 15:02:23][Stereo][39122][MainThread][140302246872896][ms_pipeline][131][INFO]: data_obj(idx=0) in ms_data start to run normalize_total\n", "[2023-11-15 15:02:23][Stereo][39122][MainThread][140302246872896][st_pipeline][41][INFO]: start to run normalize_total...\n", "[2023-11-15 15:02:23][Stereo][39122][MainThread][140302246872896][st_pipeline][44][INFO]: normalize_total end, consume time 0.3283s.\n", "[2023-11-15 15:02:23][Stereo][39122][MainThread][140302246872896][ms_pipeline][131][INFO]: data_obj(idx=0) in ms_data start to run log1p\n", "[2023-11-15 15:02:23][Stereo][39122][MainThread][140302246872896][st_pipeline][41][INFO]: start to run log1p...\n", "[2023-11-15 15:02:25][Stereo][39122][MainThread][140302246872896][st_pipeline][44][INFO]: log1p end, consume time 1.6346s.\n", "[2023-11-15 15:02:25][Stereo][39122][MainThread][140302246872896][ms_pipeline][131][INFO]: data_obj(idx=0) in ms_data start to run scale\n", "[2023-11-15 15:02:25][Stereo][39122][MainThread][140302246872896][st_pipeline][41][INFO]: start to run scale...\n", "[2023-11-15 15:03:23][Stereo][39122][MainThread][140302246872896][scale][53][INFO]: Truncate at max_value 10\n", "[2023-11-15 15:03:31][Stereo][39122][MainThread][140302246872896][st_pipeline][44][INFO]: scale end, consume time 65.7160s.\n", "[2023-11-15 15:03:31][Stereo][39122][MainThread][140302246872896][ms_pipeline][131][INFO]: data_obj(idx=0) in ms_data start to run pca\n", "[2023-11-15 15:03:31][Stereo][39122][MainThread][140302246872896][st_pipeline][41][INFO]: start to run pca...\n", "[2023-11-15 15:05:30][Stereo][39122][MainThread][140302246872896][st_pipeline][44][INFO]: pca end, consume time 119.4342s.\n", "[2023-11-15 15:05:30][Stereo][39122][MainThread][140302246872896][ms_pipeline][131][INFO]: data_obj(idx=0) in ms_data start to run batches_integrate\n", "[2023-11-15 15:05:30][Stereo][39122][MainThread][140302246872896][st_pipeline][41][INFO]: start to run batches_integrate...\n", "2023-11-15 15:06:03,415 - harmonypy - INFO - Iteration 1 of 10\n", "INFO:harmonypy:Iteration 1 of 10\n", "2023-11-15 15:25:25,651 - harmonypy - INFO - Iteration 2 of 10\n", "INFO:harmonypy:Iteration 2 of 10\n", "2023-11-15 15:44:00,561 - harmonypy - INFO - Iteration 3 of 10\n", "INFO:harmonypy:Iteration 3 of 10\n", "2023-11-15 16:02:32,327 - harmonypy - INFO - Converged after 3 iterations\n", "INFO:harmonypy:Converged after 3 iterations\n", "[2023-11-15 16:02:32][Stereo][39122][MainThread][140302246872896][st_pipeline][44][INFO]: batches_integrate end, consume time 3421.7228s.\n", "[2023-11-15 16:02:32][Stereo][39122][MainThread][140302246872896][ms_pipeline][131][INFO]: data_obj(idx=0) in ms_data start to run neighbors\n", "[2023-11-15 16:02:32][Stereo][39122][MainThread][140302246872896][st_pipeline][41][INFO]: start to run neighbors...\n", "[2023-11-15 16:03:14][Stereo][39122][MainThread][140302246872896][st_pipeline][44][INFO]: neighbors end, consume time 41.9798s.\n", "[2023-11-15 16:03:14][Stereo][39122][MainThread][140302246872896][ms_pipeline][131][INFO]: data_obj(idx=0) in ms_data start to run leiden\n", "[2023-11-15 16:03:14][Stereo][39122][MainThread][140302246872896][st_pipeline][41][INFO]: start to run leiden...\n", "[2023-11-15 16:04:26][Stereo][39122][MainThread][140302246872896][st_pipeline][44][INFO]: leiden end, consume time 71.9816s.\n" ] } ], "source": [ "# normalization\n", "ms_data.tl.normalize_total(scope=slice_generator[:],mode='integrate', target_sum=10000)\n", "ms_data.tl.log1p(scope=slice_generator[:],mode='integrate')\n", "ms_data.tl.scale(scope=slice_generator[:],mode='integrate', max_value=10, zero_center=True)\n", "\n", "# embedding\n", "ms_data.tl.pca(scope=slice_generator[:],mode='integrate', use_highly_genes=False, n_pcs=30, res_key='pca')\n", "\n", "# batch correction\n", "ms_data.tl.batches_integrate(scope=slice_generator[:],mode='integrate', pca_res_key='pca', res_key='pca_integrated')\n", "\n", "# clustering\n", "ms_data.tl.neighbors(scope=slice_generator[:],mode='integrate', pca_res_key='pca_integrated', n_pcs=30, res_key='neighbors_integrated')\n", "ms_data.tl.leiden(scope=slice_generator[:],mode='integrate', neighbors_res_key='neighbors_integrated', res_key='leiden')" ] }, { "cell_type": "markdown", "id": "f9fae4c4-7b9d-4a35-bd18-4448ae6e642f", "metadata": {}, "source": [ "Display the visualization of clustering." ] }, { "cell_type": "code", "execution_count": 11, "id": "9226960e", "metadata": { "execution": { "iopub.execute_input": "2023-11-15T08:04:26.428450Z", "iopub.status.busy": "2023-11-15T08:04:26.426381Z", "iopub.status.idle": "2023-11-15T08:04:30.488520Z", "shell.execute_reply": "2023-11-15T08:04:30.487790Z", "shell.execute_reply.started": "2023-11-15T08:04:26.428406Z" } }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "[2023-11-15 16:04:26][Stereo][39122][MainThread][140302246872896][ms_pipeline][131][INFO]: data_obj(idx=0) in ms_data start to run cluster_scatter\n" ] }, { "data": {}, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.holoviews_exec.v0+json": "", "text/html": [ "
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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "ms_data.plt.cluster_scatter( \n", " scope=slice_generator[:],\n", " mode='integrate', \n", " res_key='leiden', \n", " dot_size=4, \n", " plotting_scale_width=2, \n", " reorganize_coordinate=8, \n", " # horizontal_offset_additional=20, \n", " # vertical_offset_additional=30\n", ")" ] }, { "cell_type": "markdown", "id": "c29afc9a", "metadata": {}, "source": [ "## Visualization of network" ] }, { "cell_type": "code", "execution_count": 12, "id": "497458dc", "metadata": { "execution": { "iopub.execute_input": "2023-11-15T08:04:30.490127Z", "iopub.status.busy": "2023-11-15T08:04:30.489724Z", "iopub.status.idle": "2023-11-15T08:05:19.567704Z", "shell.execute_reply": "2023-11-15T08:05:19.566903Z", "shell.execute_reply.started": "2023-11-15T08:04:30.490101Z" } }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "[2023-11-15 16:04:30][Stereo][39122][MainThread][140302246872896][ms_pipeline][128][INFO]: register plot_func grn_dotplot to -140302023674512\n", "INFO:matplotlib.category:Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n", "INFO:matplotlib.category:Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n" ] }, { "data": {}, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.holoviews_exec.v0+json": "", "text/html": [ "
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\n", "" ], "text/plain": [ "Column\n", " [0] Markdown(str)\n", " [1] Row\n", " [0] TextInput(name='file name', placeholder='Enter a file name...', width=200)\n", " [1] Select(name='file format', options=['png', 'pdf'], value='png', width=60)\n", " [2] IntInput(name='dpi', placeholder='Enter the dip...', start=0, value=100, width=200)\n", " [2] Row\n", " [0] Button(button_type='primary', name='export', width=100)\n", " [1] StaticText(width=800)" ] }, "execution_count": 12, "metadata": { "application/vnd.holoviews_exec.v0+json": { "id": "1023" } }, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "ms_data.plt.grn_dotplot( \n", " scope=slice_generator[:],\n", " mode='integrate', \n", " cluster_res_key='leiden', \n", " network_res_key='regulatory_network_inference'\n", ")" ] }, { "cell_type": "code", "execution_count": 13, "id": "bc0c800c", "metadata": { "ExecuteTime": { "end_time": "2023-05-26T03:01:20.356033Z", "start_time": "2023-05-26T03:01:01.304654Z" }, "execution": { "iopub.execute_input": "2023-11-15T08:05:19.569522Z", "iopub.status.busy": "2023-11-15T08:05:19.569102Z", "iopub.status.idle": "2023-11-15T08:24:58.693439Z", "shell.execute_reply": "2023-11-15T08:24:58.692597Z", "shell.execute_reply.started": "2023-11-15T08:05:19.569493Z" }, "tags": [] }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "[2023-11-15 16:05:19][Stereo][39122][MainThread][140302246872896][ms_pipeline][128][INFO]: register plot_func auc_heatmap to -140302023674512\n", "[2023-11-15 16:05:19][Stereo][39122][MainThread][140302246872896][plot_grn][263][INFO]: Generating auc heatmap plot\n" ] }, { "data": { "text/plain": [ "" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "ms_data.plt.auc_heatmap(\n", " scope=slice_generator[:],\n", " mode='integrate',\n", " network_res_key='regulatory_network_inference',\n", " width=28,\n", " height=28\n", ")" ] }, { "cell_type": "code", "execution_count": 14, "id": "f89d31e6", "metadata": { "execution": { "iopub.execute_input": "2023-11-15T08:24:58.701755Z", "iopub.status.busy": "2023-11-15T08:24:58.694628Z", "iopub.status.idle": "2023-11-15T08:43:51.458022Z", "shell.execute_reply": "2023-11-15T08:43:51.456649Z", "shell.execute_reply.started": "2023-11-15T08:24:58.701721Z" }, "tags": [] }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "[2023-11-15 16:24:58][Stereo][39122][MainThread][140302246872896][ms_pipeline][128][INFO]: register plot_func auc_heatmap_by_group to -140302023674512\n" ] }, { "data": { "text/plain": [ "" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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pBPXLoz3rEsri4AQm2kZELE2g5XRExLBEZvNNj0VZl7DNva4wbMM3qgArEvnbfDoqf0woIuLap36adQnQr1mBDRWkWCxGfX19RESv1dira2xsjIaGhl4tR7r3w37ssceie05Le3t7mN/SP4yvSeML9tz2lqxLKItvdVT+6qqIiD1rK3918v4daexd9ffqNL54bpfIJJohiQzy3VdYmnUJZVFIJKivKqx7H7JKsriq8leqjE2kde8OiQzFPFGVxor6zkS+N6cyPrCkKo3JXxMS2aLr0Zo0Jl6c2F754W4af5kRT9SkcaRvbBuYdQlAP5DGtyZIRGNjY8//dwfZ67pd921Xbyfevep69uzZ8cILL2zbYnPkr60Lsi5hi/yzNCrrEsrikpolWZdQFqeXKn9wOiLiumLlD5isSCM3ihkrns26hLI4buAuWZdQFs8kEjZUd1X+e1BERLGQxnH+Z3saq1k7EliBfdOAyj/GiIjlkcb53utb05jMd3ttW9YlsBXtszKNk/iH6tIIyY5K5EvZYwm83T5TlcZkhH3a0ohrlqTRQIn1WLZsWSxfvuEuNqNGpTHuzdql8Y4ICVq0aFEce+yx0dn58peShQsXZlgR28qgQhon8V9sT+OEpZTIarndOyt/hdXgNMaE4vTiblmXUBYdaSw6it0jjXavqbTNXJZISBaJtLX9XW3lr1SZ25VGK+bmRPaGbq5JozvCwESG1gqJ7IF9y4A0/j4P6ByUdQll8bdiGud8zxYqvyvWgEQ6Yj1Sm8b5+7+6lmVdQll8OOsCcuwHP/hBfOMb39jg7R599NEyVENepXGWDQnacccdIyJ69rFetGhR7L333hFRuftZp2rK4Wmslj/xz2lMz3xf145Zl1AW9yewV+Ae1ZUfNEREIjsmRyI7YKcT7KYx/BWxNJEA+ytpnCLEoELlrzSfFGl8dq5IZALquKrK3zImImJhVxrdS17XlcbWVY8n0o1mZBpvQ1GoTmPixZzOyt8e56Dq4VmXUBYtiTRL3z6RbWNYt5NOOikOPPDArMsg5wTYUKFWbyce0btV+JQpU2LWrFm9rh8+fHgsXbq0Z1+rtjZt0PqLH/51fNYllEVrVxptit84aW7WJZTFH+aNyLqEbW5ERxqDJS9UpRF4jkhkb+hxiRznKzoqf5VKRMT9tWmsqG9JZEbCXqXKH9BM4xMl4h8DKv+5jIiY37Ui6xLKYudCGitZnyikEexWJ9IRa2BnGu+4LYmMfB9RGJl1CdvcsDTmZcaiqjRObLsSmTjNuk2YMCEmTJiQdRnkXCIf48CagXbEy6F2anteV5rt0hj/isMGpLEy+RfPpLGMbP8ExoW+1/5U1iWUxZia7bMuoSxWdKUxsWt5Isd5cHFs1iWUxaJE2jG/rjONVZ7fql2UdQnb3Fuj8ie4RUQMKaTRWntUIYFNWSNiflfld0eIiCglsl3DsERet7+sS2My35hI4/32/s6WrEvY5t7RMTTrEsriJ13zsy6hLDq7BNjAhgmwoZ9YfQV1c3PzVrm/efPmxbBhw4TX/dzd1WkMTn/rpDRCle9N2yHrEsriG8sfzrqEbe6Txb2yLqEsmlofz7qEsti5Lo1QZXBVGoO2zyayKrC1K42lKvdWp7FSZUhX5Q/Cv5jIGuxSIu39X0yktfYrE2l9/0BUfoviiIgXOtMIdsdWpfG6XRBpvA8t7az841yexule1BTSWNRQW0jkCQW2iAAb+olSqRRNTU0REVFfX79V7u///b//1+fyhoaGmDNnTkycOLEnMO/24IMPRk3NqreNhQsXbnENbB1Pt7+UdQllccnPR2ddQllUV6UxoLnbwMp/Pv9Uncbg18E1aWxjsF2kMZDQnkh4NK8zjQB7WQKDmRERKxNZLfeqGJx1CdtcKgHZo6UFWZdQFgOrKn/SRUREDBiVdQVl0ZXIOcLEqjRawm8XwqNKUldV+UP8dxQqf5V5RER1Zxp/m6lMtAW2TOV/ugGbpLGxsSfEnjp1aq+V3zvuuONag+177rkni1K3mjPeNzPrErbIoKpTsi6hLGoT2YtsZaTRE35JAvvPzupIIyArJRKQFRJ5D6pK5Dhbu9Jog5qKEdVprCIb1175f5+zair/GCPS+Uzp6ErjvDYVqbxun+pMYyJNRyITElJ53S5K4LtndSoddxKZ/PWXlieyLgHoBwTYkJjuQHp9bci7Q+z6+vpobm6OqVOn9vxsd9vxbv09vI6I+MnVB2Vdwhb531funnUJZXH0ijRmZ7Yl8gX7lo4lWZewzR02eJesSyiL5o40tjEYkkhr7UGFNL4epDJouySRCSb7xfZZl1AWAzsr/3W7uDONvYT3KY7NuoSyWJ7IZKHORD5TUvnsrE6kre24QjHrEsoildftQYXK34psTiGN89rmRDpFXbD9q7IuAegH0hihAnp0tyKvr6/vtbo6ImLRokW9wumIiBdffDHe9KY3RUTltg1/7YAxWZewRcasfD7rEsri0zVpzEI9o3pc1iWUxdur9si6hG1ublcag/DPtC7KuoSyeEVdGu1BU9GWSLeLoYms4Li3M43tVCZH5Q9OD0hk38cpkUaL4gcKaaxkPaojjefzF1VpvNce1VX577UREU9VpzFBfEJnGp8rKUwX2r8zjQnFnZHGce61Mo0JCVtTZ2dnnHHGGfHggw/GIYcc0mdr0JkzZ8bVV18dDz74YLS2tsakSZPi9NNPj3e+851RVdV3clZnZ2fcdNNN8dOf/jT+9a9/RcSq7qtHHnlk/O///m/P7R5++OG4/fbbY8aMGfHss89Ga2trjB8/Po466qg499xzY8iQIb3ud9q0adHQ0LDWY9h7771j2rRpm3zsd955Z0yfPj0eeOCBmDt3btTV1cWkSZPitNNOi5NOOqlny9Nuf/rTn+KOO+6I2bNnx6OPPhqlUikuu+yyOPHEEzfpcbsX9j388MMxe/bseP7559f6u1/TX/7yl7jmmmviwQcfjOXLl8fIkSNj3333jS9+8YsxeHDlbwu1NQmwIWGlUimKxWJPiD1//vyYO3duxQbV6/L4VY9mXcIWeXN15QeBERE1icyEv7eQxmrWmgRWmtcWKv8YUzK4UJt1CWWRyiqVUiJtbZdHGoPTe1UN2fCNKkBnAh8ro6rSWBF4b2fld6KJiNixKo32/t/tfDbrEsripdY0vqcMGJhG4DmgK43v188V0jjnW5pAx4sx1WmcI7yYSDeaG2vS+Ew5cive17XXXtsTNK/pl7/8ZfzP//xPDBs2LM4+++wYNmxY/PnPf47Pf/7z8cQTT8RnP/vZXrdvb2+PD37wg3H33XfHW97yljj55JOjUCjEc889F88991yv2373u9+NP/3pT3HUUUfFKaecEoVCIWbMmBFXXXVV3HrrrXHTTTfFiBEj+tT0/ve/P3bddddelw0dOnSzjv2iiy6KgQMHxtFHHx277bZbtLS0xO233x6f+tSn4o477oirr746CquNwd12221x2223xW677RaTJ0+Ohx56aLMe98knn4xvf/vbMWbMmNhnn33izjvv3ODPfPe7343LL788Xvva18b73//+GDx4cDz//PNx//33x4oVKwTYm0iADYnrXpG9PutaqV0J7cMjIl58z9CsS9gi1V9OYDQzIXWJBPWv7qj8L58zqyt/n++IiIMHjs+6hLJYmUjguUMiQf3esV3WJbAV7Z/INiOzipX/9X1QIkMUOyWyLcXKRLpdnFCbRgel+2tbsi6hLMYU0vj7bE9k0uLBbWl0o5leW/ltp1/ZWfljCBERf4g0xhFKCUy62JqeeeaZuOKKK6K+vj6+9KUv9bquvb09Pv/5z8eAAQPihhtuiAkTJkRExJlnnhmf+cxn4rrrrosTTjghDjjggJ6fufrqq+MPf/hDfOc734nDDz98vY/9rne9KxobG6NYfPlv8J3vfGd87Wtfi6uvvjq+//3vx8c+9rE+P3fooYfGa1/72i057B6XX355HHzwwb1C6ne/+91x1llnxV133RV33313vOENb+i5rr6+Pi655JKoq6uLadOmbXaAvffee8ef//znnoB+jz3Wv4hs5syZ8dWvfjXe//73R319/WY9Jr2l8e0Q6KNYLMacOXNi9OjRG7ztmiF3917YI0eOjM7Ozmhra4uWlv77ZXbf4hVZl7BFDi5cnnUJZbEkkVmohQRWJkdEPFhd+e2i7ivNzbqEsjiwuFPWJZTF0q62rEtgK5rRlcaM/xS6XUREDBmQRrvXB2JZ1iVsc3t2pTG5ZE4hjfPaVLp6PJNIUL9TIY0V9dWJfHbu1JXGpMX5iYx8L0xgvOSBQhqfKeMLaZwLjR2QxmfK1vLpT386dt999zjrrLP6BNiPPfZYLFy4MA477LCe8LrbySefHDfccEP89Kc/7QmwV6xYEddcc00cccQRcfjhh0dXV1csW7YsBg0a1Csg7nbggQeutabjjjsurr766nj00XV3Nl22bFnU1tbGgAFbNpnokEMO6XNZdXV1HHvssXHffffFo48+2ivAHjNm62wXOnjw4E1aMX3VVVfFsGHD4sILL4yIVcdfV1fXp8U5G89vDhLV2Ni4zplAa664bm5u7vOz3XtZzJo1a9sVWSbPffPdWZewRd5bdVDWJZTFikTCo7NLaXwpu6ZY+cf5quKOWZdQFvM6Kj9QiYgoFtI4bV6RxA56EQva++/Eu00xJJFWizukkR1FbXXld2n5RWsarZgvLEzY8I0qwEuV/5KNiIjFVZV/XhsRsSCRc4SViWy/8UIi2x11JjKRpi4q/w03le4I/+hYnHUJZTE6kW1GjjrqqPVeP3369A3ex4033hj33ntv/PSnP13rXtatrasWiAwc2Pd32n3Zgw8+2HPZfffdFy0tLbHvvvvGl7/85bjpppuipaUlBg0aFG9+85vjYx/7WAwbNmyDdS1YsCAiIkaOHLnW6z/wgQ/E0qVLIyJ69qs+55xztmqY213D2lqYl9uKFSti5syZcfjhh8ctt9wS3/rWt+K5556LmpqaOOigg+LjH/947LnnnlmX2e+kMRIHbJI1V1yvHnR3h9vdbcQPP/zwmD17dnR2dvbbvbN3/6/+vYf0bpe+lHUJZVGdyBfsR2rSCBs6E2iLVflDCKs807oo6xLKYljNoKxLKItU3mtH16Sx79TSBFbjRES0pfGyjVNLld8G9dORxoTFa2oWZF1CWbzUXvktbSMi9hqw4a5mlSCVdq8dXWkEnosLaez1PSqR0HNEAsf5YlR+F7eIdILdYiLvQVtqwYIFcdlll8U555yzzvBz1113jerq6njggQeiVCr1avU9Y8aMiIiYO/flDoFPPPFERKzaU7u6ujo+/OEPx+jRo+N3v/tdTJs2LWbNmhU333xz1NWt+32lvb09vvnNb0bEqlXeqysWi/GWt7wlDj300Bg1alQsWLAgbrnllrj88svjvvvui29961trDeI31fz58+OGG26IHXbYYYMTBcrh6aefjvb29njwwQfjj3/8Y7znPe+JKVOmxMMPPxzf/e534z/+4z/ipz/9aZ99wVk/ATYkrLuN+OoaGhr6rLguFos9IXZzc3NMnDgx5s+f3/Ph19bWFrW1/bf91F9b+/cA0sdrXpF1CWUxtyON1XJP16QxYPKvtsoPPZclEhxNGLDhmbmVYFBV//2c2xTViUy9GFGo/CAwIqKmKo2g/sFEQs+amspP6vftGpt1CWWRyiqysVVpDE4/EGlsS5GKAYmEKpMSaQlfTOTc9rbSU1mXsM2NT+R75+Ol5g3fqAJUF9L425w1fcYW/fzFF1/cqyX12gwZMiROPfXUuOGGG+LCCy+MD33oQzFs2LD4y1/+EldeeWXU1NT06rS6bNmqLnovvfRS3HrrrbH77rtHRMSb3/zmiIi49dZb4+c//3mcfvrp63zMSy65JB588MH4z//8zzj44IN7XXfcccfFcccd1+uy008/Pf7nf/4nbr/99vjVr34Vxx9//Kb9ItawbNmynhXeV155ZQwdOnSL7m9r6F5tvnDhwvjc5z7X8/s75phjYqeddopPf/rT8c1vfjO++tWvZllmvyPAhn5o9UA5om+L7421tjbipVKpz77YjY2NPf/fvf/1K1/5yl63ueeee9b5OIVCIboSmcWchXkdS7MuoSxSCVUWJtKab6/a4VmXsM3dt3J+1iWwFQ1M5LR5cCKt0h/vWJJ1CWUxMJHn881dQ7MuoSz+UV35K49aE9lL+Fcr/p11CWVRk0gQuE9dGhMvUpHKHtjLE3m/TSXArktgsm1LZ+V3cYuI2L2YRlePVLZ02hK333573HnnnXHNNdf0WlW9Np/+9KejpqYmbrzxxp4x+sGDB0dDQ0N89atfjY6Ol7fH6L6vfffdtye87vb2t789br311pgxY8Y6A+zGxsa48cYb461vfWt84hOf2KhjKRQKccEFF8Ttt98ev//977cowF62bFm8973vjYcffjguuuiiOOaYYzb7viIinn/++V7/rq6ujuHDN33Msvv3WlVV1WdV+kknnRSf/exne1bEs/HSGNGACrN6oBwR69zLelN0twbvXmH96le/utf1w4cP3+wW4cJr2HipfMHev73yv2BPqZmUdQllcXXr41mXUBbjB6axkvWFrjQ6B0yu3iHrEsriiUSC+us752VdQlmMTWBF/ROtL2ZdQlmMH1D5E/kiIl5sT2OiLZVleCJdWloSmTj9VGca70NjEtgep5jIxMxUurS8UFiWdQm51traGl/4whfisMMOi3HjxsXTTz/d6/pSqRRPP/10DBo0KEaOHBkDBgyIz3zmM/GRj3wk/vWvf0WhUIg999wzOjo64tOf/nS86lWv6vnZsWNXTbxbcwFbRMSoUaMiYtXq7LX5whe+ED/60Y/ibW97W1x66aVRXb3xkxUnTJgQEbFFW5AuXbo0zj///Lj//vvj4osvjjPOOGOz76vbYYcd1uvf48aNizvvvHOT72fHHXeMiFUr4gcM6H0uUVtbG8OGDVvn75V1S+OdHxLUHUivaV2rtbv3ve4Oww8//PCe67r3uO6efbR06dJoba2cFSAjvr846xK2SKlrVNYllEVtIsHu7h1prFS5t6Zy3kPWJZUgMBUP9PPtJjbWDtVptJN8tjONYHdkdRp7t+9Qvf4VCZVix0LlH+f7O8dlXUJZ3JLG6V6MqUojqG8udGz4RhXgmUT2wH6uM42W8J2RxkKDXROY/BURsTKBFfWva0sj2J1RW/ljJRHpTEjYXKVSKRYuXBh//OMf401velOf6++///5405veFMcdd1w0NTX1XD548ODYf//9e/7961//Orq6uuINb3hDz2X77bdfRETMm9d3EvD8+as6CY4YMaLX5V1dXfG5z30urrvuujjllFPii1/84ibvY/3kk09GRMTIkSM36ee6tbS0xHnnnRcPPfRQfOELX4hTTz11s+5nTddcc02vf69v7+/1GTFiRIwfPz6ee+65WLFiRQwc+PLYysqVK2PhwoVrnTTA+nmngArVHUivac3V2t3tyLuD7e59sadOndrrdqsH4s3NzT3Xn3322TFs2LD1thDPu3EXXJt1CVtkvy83bvhGFSCVFuJ1lf+9MyIiBlZX/vP5dNvirEsoi3cUd8u6hLJ4rpDGQMLCrjSOc1x1GoOZHYl0wTm8Y7usSyiLW2LzVyv0F7cOHJJ1CWXRksi+7Yl0Yo6FXWk8n2/oSuPv8w+RxuqoFYlMSFiUyN/ndgls2XBPbRoTxB9vX5x1CWUxtKryJ2ZuiYEDB8YVV1yx1us+/OEPx+TJk+OCCy7oWfW7NosWLYqmpqYYPnx4r5XK48aNi4MOOij+9re/xUMPPRT77rtvz3XXXXddREQcccQRPZd1dXXFZz/72bjhhhvi9NNPj0suuSQKhXWf5C1atCiGDeu9Z317e3t87Wtfi4iIo48+ej1HvnYtLS1x7rnnxj//+c9obGyMk046aZPvY10OPfTQrXZfJ598clx55ZVx3XXXxXve856ey6+//vro7OyMN77xjVvtsVIhwIbEdbcj7w62Gxsbo6GhoU/QvXpo3dDQ0KfFeH82sPNLWZewRTrSGJuOQiGNA11S+d87IyJiWVT+SpUpA9LojnDjiieyLqEsRtVun3UJZbG4PY1VR4MTWbG7tCONvQLn1aSx0ryto/I/O//QOifrEspi77oxWZdQFou70vhMGVSo/K1xIiLuKaTRvWRoIi3EJ0Yan51zOtNoU1xXqPwJ4q/sTOP8fYeazVud2t8sTmUy32aqra2NY489dp3Xjxgxotf1v/jFL+JnP/tZHHTQQTFixIh49tln4+abb45ly5bFVVdd1SdQvuiii+Kd73xnnHPOOfGud70rRo8eHXfeeWf88Y9/jMMPP7zXfV922WVxww03xC677BIHHHBA3Hrrrb3ua+TIkfG6172u598nnHBCHHjggTF58uQYPXp0LFiwIH75y1/GE088Eccff/xm7Vl99tlnx6xZs+Koo46KQqEQt9xyS6/r99hjj9hzzz17/v3II4/0tAGfPXt2RERMnz49nnvuuYiIOPLII3vdfn2+9a1v9fr3c88913PZTjvt1CtMP/fcc+OOO+6Ir3zlK/Hkk0/G3nvvHbNnz46bbropdtxxx/jgBz+4aQeOABvobc3W46uvrK6k0Hp1f+3nbWHPjDQGwFKRxjz4iIfbKn8V2a61Q7MuoSxSWYH9TCIrsFtr0lhdtSyR1ThjEgl2V3al0b5kVAIrVfasWfcqkkryy475WZdQFoOr0mj3mkor5lTMaW/JuoSyOCSRkGxCVRpdWl5IoItSc1XlT+SLiBjWVfmTESIi/tq+KOsSKsrOO+8cnZ2dce2118aSJUti2LBhcfjhh8f73//+mDRpUp/bT548OW644Ya44oor4ic/+UksW7Ysxo0bFx/60Ifi/PPP79UefNasWRGxqgX4xz/+8T73ddBBB/UJsGfOnBkzZsyIpUuXxsCBA2OPPfaIxsbGOPnkk9e7entdumuYPn16TJ8+vc/1F154Ya9A+uGHH+6zgv03v/lN/OY3v4mIVfuAb2yAveb9zJkzp+eygw46qFeAvd1228WPf/zj+MY3vhF33HFH/PznP4+hQ4fG29/+9vjQhz602e3TUybABiLi5Vbi3W0+Vg+uu/e+jli1/3VXV1e0taUx8Avldv6b175PfaV58reVf9K2PIFV5hERN5bSWIG9bzGNUGVxInu3D09gL+GIiIEJtJOMiNi/M42Q7O9R+Svqq+WAFWVuWxqtmIcOsJ9hJdm9ZoesSyiL5QnsmRwRsX2kcS70cAJ7t09IpIPSQ5FG14CBVWl0L9kWHn300T6XTZkypc9ezhuy2267xf/93/9t8HY/+tGPNul+1xZyb6m1HfP6nHLKKXHKKadk8thDhgyJT37yk/HJT35yqzx+6gTYQES83Eq8W/dK7NmzZ0dn58tfbOrq6qK2tjYWLqyc1ZP7Fte+p0h/8d7a72VdQln8tf35rEsoiwduG5p1CWWxslj5Ayb3l+ZlXUJZnJ7ICuy/di3OuoSyGJFIsJtCm8WIiBcTmZBwfWflnJeuz2urKz8k26k9jQR7WM3ArEsoiyWJbGNAZdkhkaHS3drTCHZ/U51G6/thCXRpmZzIa/aItsp/LiMirk3jMIEtlMZZGdDL6m3Cu1dcR0SvsLqSAuoNeaj04axL2CJ/bN0v6xLK4t6qNMKGQiItCJ/uWJp1Cdvc/oms2L0hkT2w9y/ulHUJZVGzGe28+qMhiXwN6iik8ZlSlUir9AUJTEj4y4A0VuM8tiKNjju71FV+x52IiBGJ7Jk8tyuN7kJ/a38h6xLK4oVEVpqPjzQmDN3XVvkT/h+vTeN874bC4qxLKIsFK9OYXMK6LV68eIMdXmtra2Po0KHlKYhcSmPkBuilVCpFU1NTRPQOs8eOHRsR0RNod1u9nTj50xlphA2p7C33z9o0pqHumECP0H+0pjE4nYraRFbstiayl/ATXZU/iSYinb2+x1alMaDZkcC50D2lZ7MuoSwm11X+avqUvJjA3rMREV0JvAdFRLQnci6UykrzVEyuHbbhG/Vzg7uMfVWSIdVpTC5h3T74wQ/GzJkz13ubgw46aJNbmFNZnK1A4tbVOnx1U6ZM6RVqC7Tz5cpIY6BvTNXgrEsoi8kr0xgAm1qzOOsStrmTaidkXUJZXN+RxgrsFV3tWZfAVvSO9qFZl1AWT9SmMQDWmshK87OKi7IuYZu7rWuXrEsoixer0gjIdm9PY/LX76srf+/ZiIidCmmEDW3Vafx9DutKox1zbSIT/h/ufCnrEra5pVVpfB/buXr7rEsoi8c6K/+8lvX7+Mc/HkuWrH8l/pAhQ8pUDXklwIbEFIvFmDFjRtTX16/1euF0/1NIpN3roo4VWZdQFvu9uiXrEsrjgco/BXmskMa+jxMGVP5s/4iIlxJZXVUsVP7fZkREcxqHGY9FGp+dAyKNkOwXy0dkXQJbyfyo/HbwERG/6ViQdQllsVcC+9NHRDzblcZnyk5V22VdQlls35nGOMKMQhpdd95UqPxzhAFpzC2JYhrzMqOlJo2gnnWbMmVK1iXQDyQydAN0a2xsjDe96U09LcTXVF9f3+e6hoaG+O1vf1uO8jLx2gFjsi5hi4xLpD1oVSJBfctzaeyht3MCX1Z270qjHfz8SGPV0Smdw7MuoSyeq0ljxKQzjcOMKZHGIPzCSGNf1keqKj/0TGMqQsTKRFoUT6gdmnUJZZFKu9dUDE9kqDSRU77YqSqN72QpPJ/bJXCMERHPJLDdWkTEroU0vqcAWyaNszJIxOrtv5ubN27v1TVbhq/t5xobG9faanzevHkxbNiwfr9q+6+t/XtlwDsL/TuA31jViQTY019I4/l8qmte1iVsc7W1aQzDv64qjWD30UIaLesGJhIftSXymTKnkEbngGGJfK19W6nyj/PaumVZl1AWAyKN1r2pqEqkRXEaZwgRLYlMiipWpfG6HZ5Iq/R7C5U/qbhUncbfZl0i5wgtnWl8TwG2TOV/A4aElEqlntXT62oRHhExatSotf5MRMSxxx4b9fX1sWjRohg2bFjMnj07Ojv7rhBYuHDhVqycLZFKsHtQzagN36gC1KaxoD72qx2ZdQnb3P7ttVmXUBZ/qUmjVXpHIqurWhIZnn480niz3S6RAbAjVqbxfpvCq7ZoiKKijEukFfPOXWl0UJoZ69+nslI82pHGcc6tSuOzc4/C4KxLKIsXEthy7cyOym+THhFxQ83irEsoixc60pi0CGwZ3w4hQaNHr3uPrs7OzmhqaupZmT127NiKWGVdyfaqSWP149/aX8i6hLL43z3TmIV69xOVPyHhTzVpzBCfl8gXz2GJtB9cGmmsNB+cyF7fCzorfzAzImJ4ZxrP5+jtKn911YSuyt9iJCLiH50vZV1CWSxLZKujJYl0aUnF0Kq6rEsoi2IhjUluqRhRNTDrEra5W6pasi6hLOoSmVC8sjONcwRgy6TxTR/YaKNGjerVVnzYsGERETFy5Mh44YU0AsT+5sG2NJ6X2kIaJ/H/np3GrOJHC4uyLmGb2z2RfR/HVQ/KuoSyeCaRoH67RILdVIL65Ym05rul8sdsIyLioyMrP8C+/Zk0zmtPKO6SdQllsSDSeA8qJbKn+dhCGm+2LyUy8WJSpDE5c1ZXGqHnmELlP58ru9KYIL4ykc+UVwyo/K58wJZLY4QK6KVYLPa0GF9zz+uJEyfGnDlzYuLEib32xh47dmzPauzV3XPPPTFgwIAYPHhVWyatxcuvmEjYUEikVfpjhTRaLdYUKn8goTqR/RBTMaQqjfagqey5NqqQxvPZUZ1G6/unO9OYYPLXZ8dmXcI2t19dGl0DHu1amnUJZbFzIY1Jbnt0pPHZeUd15Z+/R0QsTKAVc0TEggT2TI6ImFSdRmePR9orf4L4m6rHZF1CWTxUSOMc4fE248fAhqWRegC9NDY29vz/mntlNzY2RkNDQ8yZMyemTp3a67ruldlrthNvbW0VXGdox+o09nR6NpG9yE48cl7WJZTFPfdUfuv79khj5vTfVjyXdQllsUtdGjPEVySyMrkzkT3NOxJZwTGpKo2QbPcBlR8eLUpkddWwQhotiu9tfz7rEspibiIBWQorPCMidq1JY0LxkK40OpzVdiUyqbhmaNYVbHPFNE5ro7kzjcklO9UMybqE3Fu4cGFceeWV8Yc//CGef/75GDp0aLzxjW+MD3/4wzFq1Mvb8k2bNi0aGhrWeh977713TJs2rc/ld955Z1x77bXx+OOPx9KlS2PMmDFx6KGHxnnnnRfjx4/frDrWZvbs2XHqqadGe3t7XHbZZXHiiSdu8u/hlltuiVtvvTUef/zxWLRoURSLxRg/fny87W1vizPOOCOKxd7nJ2eddVbMnDlzrfd10UUXxbve9a6Netw777wzpk+fHg888EDMnTs36urqYtKkSXHaaafFSSedFDU1faPVm266Ka6//vp44oknorq6Ovbee+943/veF4cddtgmHzerCLChAnSvqF5zNfXm6g6xu8PtRYsWxfz586Ozc9XZ4vDhw6OtrS1qa2sjwqrrrM1pT2MPvepEWoj/5PeVv7oqImJWV+WHnq+sTaMd/MEDx2/4RhVgRNRmXUJZpBEdRbQmMsEkle03UlmBfX575U/m27l22IZvVAGGFdL4TFmUyF7CqZjflcbK5D0LaUwQnxVpfHZOSKT1/dIEWt8/U5VGt4vPtu6QdQllcVVd5b9mt8TChQvjtNNOi+eeey5OOumkeNWrXhXPPvtsTJ06Nf785z/HTTfdFCNG9B5zev/73x+77rprr8uGDh3a576vvfba+NKXvhR77713nHfeeTFo0KCYPXt23HzzzfHrX/86brvttp5genPq6Nbe3h6f+tSnYsCAAdHevvkT5R9++OHYfvvt4z/+4z9ixIgRUSqV4m9/+1s0NjbG9OnT49prr42qqt7fe4cNG7bWUH/ffffd6Me96KKLYuDAgXH00UfHbrvtFi0tLXH77bfHpz71qbjjjjvi6quv7tUt9JJLLonrrrsu9tprr/jv//7viIi49dZb47zzzouvfe1rcdxxx23eLyBxAmyoAN0rqtdcTb017jMiet7wV28fvuYq7P5s/NDHsi5hi3SNSqONUioeqEljr8DmpZU/8eJtNeOyLqEsppYez7qEsjhk4ISsSyiLxV1pvAdNSmS7hrGRRqv0F6O04RtVgKuqKr97ya2JtJy+u31B1iWUxZKONP42hw4YnXUJbEVzE9m7PRXPJDLxYmHnyqxL2OaGVKcx+euOYhrH+VIiE1A317e//e149tln4yMf+Ui8733v67n8yCOPjHe+853x9a9/PT7/+c/3+plDDz00Xvva127wvr///e/HmDFj4vrrr4+6upcnG06cODEuvfTSuOOOO+LMM8/c7Dq6/eAHP4innnoqzj///Ljiiis26fhXt7Yg+qyzzoqLL744rr/++rjvvvviNa95Ta/rt9tuu81a7b26yy+/PA4++OBeIfW73/3uOOuss+Kuu+6Ku+++O97whjdERMQjjzwS1113XUyePDluvPHGnkV/73rXu+KUU06JSy65JF7/+tf3bMHKxhNgQ+JW3w87ovdq69VXWUdEzJo1K4sSt7nhpV9lXcIWOXaXK7MuoSze0JnGh3xbIssf2wfvlnUJ29zwNDoxx4QBaayWm9+ZxuBXXSordrvSaM2Xyp7mry0MzbqEsmhP4H3o3s7K38MzImL/mjS2pUhlxOn5RCZ/FSKNVsylRLYymJjIyuRBibRK70xgO5X2RLYAergrjT2whyayncrmmjFjRkREnHLKKb0uP+CAA2LSpEnxi1/8Ij796U/3CqAjIpYtWxa1tbUxYMC6JzK3tLTE+PHj+/zsmDGrFkit3pJ7c+t48skn4xvf+EZ89KMfjUGDts3707hxqxaNLFmy9i5VnZ2dsWzZshg0aFCfFdob45BDDulzWXV1dRx77LFx3333xaOPPtoTYHf/nk444YReWUptbW289a1vja997Wsxffr0LQ7VU5TI1wlgXVZfaR2xalZTW1tbTJw4Me6///5eQXZNTc0WtfzIq4dKH866hC3yv7F71iWUxSta02gvNC+RWcX3t8/PuoRtrrUujdU446LyB0siIvbrSGPfx8r7lF+7x6pSCRvS0JHGeGZMr638sGGHRNr7/6W18s+DIiJau9L4VNkrkRXYHYmERwckcm67Yxpfr6MmjZdt3Deg8t9vlyey2dE7W7fPuoSy+GVd5XcNiIg46qij1nv99OnT13p5a+uq76sDB/Y9/x84cGAsX748Hnvssdhnn316Lv/ABz4QS5eumgDRvVfzOeec02ev5sMPPzx+85vfxKWXXhqnnnpqDB48OB5++OG4/PLLY4899ujV6npz6ujq6opPfepTseeee8aZZ54ZP//5z9f7O9hYLS0t0dbWFkuXLo2///3v8b3vfS+GDBkSBxxwQJ/bLliwIA444IBYsWJF1NbWxoEHHhgXXHBBHHTQQVtcx4IFqzoprd46vfv3tOZ+3Ktf9uCDDwqwN4MAG+ile//refPmxStf+cqIqKx24ZXo6bbFWZdQFrMHpLHP7gHtlb+6KiJizwGjsi6BrWRSVxozp2dVp/EFe+dEns9XtafRWntBdRqjtu2JJPVv6aj8FTnXt6bRWvuogTtnXUJZ3LPy2axLKIvORILdVMwppDHJbd/2NLq03FdMYwX2+M7KH+J/IJG/zccHpHFiO7krjQniT2/mz73iFa+IJ598MmbMmBFHH310z+XNzc3x73//OyIi5s2bF/vss08Ui8V4y1veEoceemiMGjUqFixYELfccktcfvnlcd9998W3vvWtXiuQL7nkkujs7Iwf/vCHcc011/Rc/qY3vSkuvfTSXmH1ptTR7brrrouHHnoofvrTn27Wyud1+cAHPhAzZ87s+fd+++0Xn/70p3tteRqxamX2fvvtF3vssUcMHDgwHn300fjhD38Y7373u+Pyyy+P448/frNrmD9/ftxwww2xww479JqcsPvuqxaXzZgxI/7zP/+z18/89a9/jYiIuXPnbvbjpqzyP90gQQ0NDTF79ux405veFAsXLsy6nNx77YD+vYf0LoU0Bkxu7kpjpcqgqrFZl1AWhaj89r2HtVf+SrmIiCva0tgD+xV1aUy6mJNIy7oda9JYXVWMNAZtaxM5zmnVlf+6/UR1Gp2FlqaxiCza6nbKuoSyWJLISvNU3mtT2TZmdt0OWZdQFoVEJph0JJB5vqpru6xLKIu7Y3HWJZTF6Ko0xkvWtcJ6Q84+++yYPn16XHzxxdHa2hr77bdfzJ07Ny677LLo7FzVsWjFilWfV8cdd1yvVdMREaeffnr8z//8T9x+++3xq1/9qldoO2DAgBg/fny85jWvibe+9a0xdOjQ+Pvf/x4/+tGP4r//+7/jm9/8Zk8L8k2pI2JVSPvVr341zj333Nhjjz0269jX5eMf/3gsWbIkXnjhhfjzn/8c//73v9faPvzSSy/t9e+jjz46Tj311Hjb294Wn/vc5+LII49c64ryDVm2bFnPKvcrr7wyhg4d2nPd61//+pg8eXJMnz49Lrvssnj7298eERHTpk2Lu+++OyIiSqXSJj8mAmyoKN37WTc3N8evf/3riFgVZq/rDXL1/a4jItra2qKlpaVs9ebFudG/99p7umbnrEsoi2c70nhtjm9Po5fbv7oqf3LN7K7nsy6hLFLZA3tEVRorkxd3JTD6FRH/bl+cdQllMTiR1+2eVUOyLqEsjl5R+ecI0wamEZA90vFS1iWUxZFdaez1PSuRDTgO7RqcdQllcW+h8ifaRqSzbcyiQhozhp7orPxJqJMS2Oc7IuKx5c1Zl1AWE7bbJesScu3AAw+MK664Ij7/+c9HfX19REQUCoV485vfHFOmTInrrrsuBg9e9+dyoVCICy64IG6//fb4/e9/3xNgd3Z2xnve8554/vnn4/bbb+9pb33MMcfExIkT4+KLL46bbropzjzzzM2q4zOf+UyMHDkyLrjggq3+O5kyZUrP/7/tbW+LH/zgB3H++efH1KlT19pGfHVjxoyJ0047Lb773e/G/fffH4ceemh0dHT0WfhXW1vbK5jutmzZsnjve98bDz/8cFx00UVxzDHH9Lq+pqYmvvvd78YnP/nJ+P73vx/f//73IyJ6fqef+tSn1vt8sW4CbKgg3ftZNzQ09HyoNDc3x9SpU3tus3qgPX/+/Fi5cmXU1q7ac7f7v6l5X2v/bkN0R0cas1Cv7UpjoO+gY1/IuoSy2Ouuyh/QTGWfwPtWPJd1CWWxpCaNFuJtXWkM8tUW0mibuaA9jclfpxbSmEhzX13lv24vHJjGedCJL1b+RL6IiPsGpjGJJpWVyXcV+q5yqkSDEhkqHZbGKV9EdRrPZ0sCq1kHReWfB0VEnLbdK7IuoSz+3ZVGt4stccwxx8SRRx4Zjz/+eCxZsiQmTpwYY8aMiQ9/+MMREbHbbrut9+cnTJgQEdErpL3vvvvi/vvvj3e961199ms+9thj4+KLL46//vWvPQH2ptTx29/+Nu6555743Oc+F/Pnv9xF88UXX+z579NPPx2jR4/erBXQazrppJPiy1/+ctx4440bDLAjIsaPH9+rnnnz5vXZo/yggw6KH/3oR70uW7p0aZx//vlx//33x8UXXxxnnHHGWu9/7Nix8YMf/CAWLFgQzzzzTAwePDj22GOPnhXYG3q+WLs0PsUhMd1BdkTvMDti1arr7r0huve4Xv2yNaWw//W+xSuyLmGL3ND23axLKIvW6jS+YdcnEOxGRLy+rfL3O7qjZlnWJbAV7VSzfdYlsBUNL6SxB/bCrv49SW9j1VT+wuSIiHiyqvIPdMGiNFYm7JLInqz7RhrP5+wEtsaJiDilLY1uF0/XpjEJtS6Nw0zmOHeOyj+3rY00OkUl8hYUxa24N3Ilq66u7tWKu7W1NWbMmBE777xz7Lzzzuv92SeffDIiIkaOfHmcccGCBRER0dHRd4y1+7K1XbcxdTz33KrFDZ/5zGfWWs+Xv/zl+PKXvxzf/e534/Wvf/16a98YK1euWmTw0ksbt+DpqaeeioiXfx+jRo3qtQd4RMSQIb3PdVpaWuK8886Lhx56KL7whS/EqaeeusHHGTNmTIwZ8/J2pXfddVdExFY55hQJsKEfWl9b8G4pBM9by0OlD2ddwhZ5R00a+7K+q2p81iWUxZ+70gg9Z9ZWfqjyyMo0WoinYllX5QdHERHFQhpfD2a3pbH6MZHxr6hLpK3toARWeU4rpjE4Pbyr8ifyRaQT7KZixoA0zoVGdqVxLjQvjcOMHRPplT4jgcnTCzoqv016RMRx1WOzLqEshoilNsvXvva1WLx4cTQ0NPRctraFae3t7fG1r30tIlbtAd1t9913j4iI3/3ud/GRj3ykV2A7bdq0iIjYb7/9NquOI444IsaO7fv6nTlzZkydOjXOOuusePWrXx177bXXxhxqz3G0tLSsdeHdtddeGxER+++/f89lS5YsiUGDBkV1de+ODU8++WTccMMNMWLEiJ7V2nV1dXHooYeu87FbWlri3HPPjX/+85/R2NgYJ5100kbX3e2hhx6Km266KV772tfGgQceuMk/jwAb+qVSqRRNTU1b9T7XFYp375P9wguV286vv6/AfkvNN7IuoSxqOrOuoDyGFtJo5b8iKn9F/X9V75x1CWUxrebFrEsoix0SWbE7MJEAe1kCK1kjIl5VPTTrEsqiupRGVL8iKv9kaMeuNM6DVhYq/7mMiJjXmUZ70EGJnL/PT6Tda0siz+feXZXfcjoioqXy535FRMQrCpW/tdykmjRes4sSON+LiPhXAvu2b6ljjz02jjzyyJg0aVKUSqX43e9+FzNnzox3vvOdvcLUE044IQ488MCYPHlyjB49OhYsWBC//OUv44knnojjjz++137Ne+65Zxx77LHx61//Ok466aR4xzveETvssEP8/e9/j9tuuy0mTpzYp0X2xtYxadKkmDRpUp/jWL581YTGffbZJ4499thN+h0sX7483vCGN8TRRx8dr3jFK2LkyJGxcOHC+MMf/hB///vfY6+99op3vetdPbefOXNmfOlLX4ojjjgiJkyYEMViMR577LGYNm1atLe3x+WXXx51dRu3xc3ZZ58ds2bNiqOOOioKhULccsstva7fY489Ys899+z59xe/+MVYtGhRTJkyJQYNGhSzZs2Kn/3sZ7HTTjvFV77ylU06bl6WxggVsEFrhuLdgfaa7cYj+q7urq2tjba2/jsQPLDzS1mXsEWebE/j5Pa89jQGEm4ekMZe36dE5XcO+Eb7v7MuoSzeXrdL1iWUxT8ijS/YixNpOd2eyF7fD3UszrqEsqgtprEH9soEBjT/Fmnssbu0I4332hWd/fc74qYYWJNGa+3KfwdaZZdEOiQ8lEiHhIHVaeybPDyBIf6VifQW2rErjdfsXlW26NqQV73qVfHb3/42FixYELW1tbHXXnvF17/+9XjLW97S63YnnHBCzJw5M2bMmBFLly6NgQMHxh577BGNjY1x8sknR6HQu8PR5ZdfHq961avi1ltvjauuuio6Ojpi9OjRceaZZ8YFF1zQp432xtaxLRSLxTjzzDPj3nvvjT//+c/R0tISxWIxdtttt/jYxz4WZ555Zq+9vHfZZZfYd99945577onnn38+2traYsSIEXH00UfHeeed1ytw3pBZs2ZFRMT06dNj+vTpfa6/8MILe93flClT4kc/+lHcddddUSqVYty4cXHOOefE+eefH4MHp9ExbFsodHV1pfHuD5ugvr5+q69w3lKr17Qt6uu+z+7gurm5OSZOnLjOVuWV0qL83nvvjWeWT8m6jC3y9t1HZF1CWZxVPSHrEsri6UT2+t65o/K/lL1UlcYp1h8702jFXFOo/NdsRMTgRFZgL+5cmXUJZTGoKo3JX0d3phEe3Vdd+a/bN7Zu3IqI/u4nNYuzLqEsRlWlEQSu6EqjR3Epkclf+xfS+ExZlkgniEkJfO+MiPh9VUvWJWxzryykEQA9G5V/vhcRMTSBSRcREV976idZlwD9WhrvFMA6rR5YR7y8EruhoSHmzZvXswK7ez+N2bNnV1w78f7eQnyfQv9eQb6xnkkk2G1NZG3DqPbK7+X2g3g66xLKorUzjUHbgdVptBAfVJXGcc5vTaPbxS51I7MuoSyWpbFtcixLICSbU5tGgL1/YYesSyiLhVH5r9mIiJGJtJwel8iqwH8V0ugckEJXj4iIxdVpvA8Njco/h9+jNY0TvpYBacQ1zySyLQWwZdJ4RwTWqTuwrq+v73V5Y2Njr393B92tra0xfPjwiIhYuLAyVt319xbiHYm0UTqhlMZAwkerKmuCyLp01o3JuoRtL42J08mYVDs06xLKoq0rjcHMwcU0QrIhiezdPjSNOW4RCWRH26fxFhTPVKdxXlsXlT9hMSJi+640jvOuQhot/l8Rg7IuoSweSWSbkddWp9Gx7qWo/JOhm2vSmID6ikhjpfneiRwna7dw4cLo6Fj/+1axWIztt9dqPnUCbGCDusPriIiJEyf27AERETF8+PB+H2SvqPpk1iVskfE1V2ZdQlk8UkijBWFtIisb9uqo/JUqdyfSZnHCgDT2nh1RSCPwbElktdzesV3WJZTFkkTag7alsSAnCWlMy4xY1JXGHthDE5lEM9usxYoyPpGW00uq0+gEsXMCnb8iIh6uqfxzvhFVaXwfm9eVxmfK5BiYdQlk6NRTT43nnntuvbc5+eST49JLLy1TReSVABuIiFWzmurr63taia+ue5X2mrqD7SeffDJKpVJ0dq46YV66dGm0tvafQZn+vgJ7bhpZQ0Qi+x3tU5vGDPH7ExjoG9CexmnWM62Lsi6hLKrr0hj8WtbZfz6/t0RzYXnWJZTF9omER/8opDFhaGhU/sDt99r+nXUJZbFn3eisSyiLv66cm3UJZbHXgDSezzTOhCIeqq787ykREcMSGRK+vyaNc9sUDI/KnwQfEXFfx4tZl1AWk6sF2Cn7yle+EitXrv/zdvToNM6vWL80zlaADepuGV5fX99rxXVErDXUXv1nVt8v+5577omIiEKhEF1d/WMNxbnRv8OXPxaGZ11CWfyrJo3B6b+3rv3vrdIcNWCnrEvY5mqr0jjNGlWTxuSS+W1ptM1MxYpEgvr5kcbS5NcNnJB1CWVx38r5WZewzVUl8potJbCfeUTEDokMTu+USJeWUiLh0bOJ7Ms6P5HjrEnkc6W6UPnH2ZbIe20qE4r/UtW/x2LZMgceeGDWJdBPpDGyCmySNVdcr7k/9prWtV9298rsJUuWRFdXV7S15XOvt29WfSXrErbIW6u/mXUJZZHKHth/qOofEz+21ISOyl/DsXtNGq21X+hMY/BraE0aLaerE1lfNagqjUH4ZZ1pfHYe0pbGgObsqspfUZ9KsPuKqjT283sikeBobiLtXkuJbDMyNpGtq5qjtOEbVYBUtgHasavyzxFeSOQ9qJDAZISIiLpIY7sGYMsIsIGN0h1KL1q0KIYN6x3KdK+67q8eKn046xK2yH927Jh1CWXxePWYrEsoi0GJtHudWV35AyapzPY/pCqNLhCzY1nWJZTFS4nsyzooka9BKyKNAHtpGvMu4q1VlX/Od/3KJ7MuoSwe6khj1dGgQhqThagsj7YvzrqEstipOo0uSsu70ujkNitasi5hmyt0pfH9erdEJsLPaX8p6xKAfiCNkRugT1vwbmu2By8WizFnzpy1XjZ16tQ+97N6eD18+PBoa2uLlpb+deJ89YA0AsP+bo9EVnmmMgl1uwQOdEYi+z5W16UxueS5tv712ba5BiTS+n5BVxp7YKfSgvAftWmsfkyhhXgqColMcnumbXHWJZTFngNGZV1CWaTyul3YnsakxWHVaaw0H5jI0HcKxzm3Y2nWJZTF4AQ67kREVBcSmYEKbJHK/3QDIqJvW/Bua7YHb2xsXOtlDQ0N8epXv3q9j7Fw4cItLzQD/b2F+F5dX8y6hLK4qS6NFRyvjDRm2y6PNGbCp2DGimezLqEsThy4a9YllMXy6My6hLK4v/2FrEsoi51q0mhT/Lr/z955B0ZRde//me2pZNNDGoQQokR6EQQEQlF6U9TQRVRANPq1RNEXsQQRRXxFVBTkxYBIDYIKCIggQpQSigGlhvS2IXWzbX5/5Ldrlk1InyFz7ucfZfbu7jPZ3Zl77znnOUQsxItV3mJLaHY0nPQT3ADgkpFGBbavksY1yIuIg1I6keSvjkSSMzVEgketQWOOsM8o/eTp4YrWYksQhPOgEag3EHFHYDAYjYMFsBkMhgMajQYPPPAALBZLiw1KU2I0kUn8PlNO7YMYLYZVbtLfMIkx0KhSocK2sktiSxAEM08jgO2ucBJbgiDkGWlsgHXX0AiSGQkkmFyoyBVbgiDcrfIVW4IglPI02hjkE2m/QYV8Is5fhRbpt3QCgJsKd7ElCEIfpfQTL9JB41pbaqFx7ywgsk5hMBiNgwWwGQwGAEeLcX9/f2RlZdlswZVKJQtm36F8b5J+pi0A9FbS2OjTE9icBgDdTZPYEpqdu1UuYksQhBPl6WJLEIS2GulXPgKAF0fDTrKISLCBSmVDZAWNe+cljfTdaO5V00jM9Oel/1kCQD4RG9QAnsbW2p8oEluCIETIW4ktQRDyZTSS+TqAxnle5KWfeDHaQOOzzFfQcA3YSKQFUGMoKSnBunXr8NNPPyEtLQ0qlQpBQUGYMGECHn74YSiVlfPJbdu2IS4urtrX6NixI7Zt22b7d1paGqKjo2/7vs899xyefvrpGh9fsGAB9uzZg5CQEOzbt8/hcZPJhDVr1mDr1q1IT0+Hh4cHoqOj8dxzz0Grrb/r5JkzZ/Dll1/iwoULyMvLg8ViQUBAAAYMGIBZs2bBz+/fBB6e5/H999/j0KFDOHfuHLKzs+Hq6oq2bdti2rRpGDJkCDiubsUmf/31F3bv3o1jx44hLS0NBoMBQUFBiI6OxqxZs+DuXn2C1Pnz5/H555/jxIkTuHnzJrRaLTp27IiFCxciKCio3udPHRqzbAaDUSvVWYzHxsY6HLMGuqv2vm7ppK+cLraERvG1bKDYEgRhozFTbAmCoCJinXlCLv2EhFP6y2JLYDQhN800qlSKQWMjIctQKLYEQfAiYt+bpfQSW4IgZFikb987gvcUW4Ig/COXfiIfAKiJ9Ew+Axo9k6nQ3UhjqzRLQeM8aaTyAb4EWhnsUdNYp4zX00hy66uR/p5QYzCZTJg+fTr++usvjBs3DjExMTAYDNi7dy8WL16MU6dOYdmyZXbPeeqppxAWZt/6zMPDw+7fnp6eWLp0abXv+dFHHyEjIwODBw+uUde+ffvw888/Q6OpOfE9Li4OO3fuxKBBg/D4448jLS0N69atw8mTJ7Fp0yY4OzvXcvb2XLt2DaWlpRg5ciR8fHwgk8lw8eJFbNq0Cbt27cK2bdtsQWyDwYAXX3wRHTp0wPDhwxEcHAydToetW7di/vz5ePTRR7Fo0aI6ve/q1avx22+/ITo6GhMmTADHcTh27BhWrVqFnTt3YvPmzfDysl+H7tq1Cy+99BIiIyMxffp0eHp6oqCgAGfPnsXNmzdZALsB0JitMBiMRlG1OjsnJwcJCQl2x5KTk1FU1HKzscOf7iC2hEbh985VsSUIgkYu/QUZAHgQyYT3MfJiS2h2OqkDxJYgCKf1NFwg2io8xJYgCC5EkmiciVQFuslobIDlQ/r3FAAI46SfkPAdkYTFAXLpW70CQDERZ6EBFhquO3u4m2JLEIQy6Xc6AgA40/h5EpkhADkEpvAa0PhxnlHTOM9B5VTSSxpGUlISzp07h1mzZuHll1+2HY+JicHEiROxe/duLFq0CK6urrbH+vbti969e9/2dZ2dnTF27FiH49evX0dmZia6dOmCDh2q3ycvKirCm2++iSlTpuDnn3+udszvv/+OnTt3YvDgwVi1apXteMeOHbFgwQKsWbMG8+fPv63GWxkzZgzGjBnjcLxnz56IjY3F5s2bba8pl8uxbt063HvvvXZjp0yZgvHjx2Pjxo2IiYlB+/bta33fKVOmID4+3i5Y/9hjj+HDDz/E559/jq+++govvfSS7bGrV6/i1VdfxahRo7BkyRLIZDR+y80NC2AzGIxaqVqdHRcXh9jYWOTk5CAkJAR6vR4hISEoLCxE27ZtkZKSwnpnCwyVwK6SyGKl0Cx96y8AyCUSDKTAvU40MkizifQJNBNZHlBxu6DSQ+8uAklRAJBNwOE/hqOR/FVGJHBkkNH4beYTOU85kYr6XI7G55nH0QgetbHQmNv6EmhlkM7RmNemcjRaHWU70djje6CBzysuLgYA+PraV6rL5XJ4e3vj0qVLUKkc94NLS0uhVCqrfex2bN68GTzP46GHHqpxTHx8PJRKJZ577rkaA9iJiYkAgJkzZ9odHz58OAIDA5GYmFjvAHZNWKuZrX8rAFAoFA7Ba6AycD9w4EB8/fXX+Pvvv+sUwO7evXu1x0eMGIHPP/8cFy9etDv+1VdfwWw245VXXoFMJkN5eTnkcnm9PwuGPdK/uzEYjNui0WhsAWnAsdr6VuLj4wFU2ovfGtjW6/Xw9/eHVquFTqdDVlYW8vLyBDoTuph5GjtgCo7G5LaNgkbPNS+D9DeG5Goam3w3zDRsM01EegkbiGxmmolUBbrLaPTQM9axj1lLp4yAEWqirLj2QRKgs8xDbAmCcNFC4/N04Wi4XURB+i4QAJBJJEhGJUH8JpGEhBJO+nPb7kYa19od8kKxJQjCEN5DbAl3NN26dYOzszO++OIL+Pn5oUuXLqioqMCPP/6II0eOYMGCBQ6B0blz56KkpAQAEBoaioceeggzZ86EopaWESaTCTt27ICrqytGjBhR7ZjffvsN27Ztw+eff35bC/Dk5GTIZDJ06dLF4bGuXbti165dKCwsdLA2rwvl5eUoLy9HRUUFLl26hA8++AAAMHDgwDo9Pzs7GwAcbL/ri/V1vL297Y7/8ssvCAsLQ3JyMt5//31cvnwZMpkMnTp1wvPPP19rdTyjelgAm8EgTtWANGBfbR0bG4u4uLhqA9kajQapqakOr2MlLi4ORqMRP/30E0aOHImysjK7jKg7iXLZq2JLaBQa7l2xJQiCnEgA+4a55drx1wcZaFilU4DGL5OO5TSVQL0LlcAukSS3XAWNAHaquURsCc2OO5Fr7V8WGvO9G8ZCsSUIwhB1sNgSBOEcf2eu55uaYNSvN2dLpYJIMp8XkQrsCrn050K/KGm41d0Nd7ElCMKPFhrOnTuio2/7+P79+6s97uPjg08//RSLFi2y7dkDgFqtxjvvvIOJEyfajmk0Gjz44IPo27cvfHx8kJ2djcTERCxbtgwnTpzAp59+els764MHDyI3NxePPPJItcHpsrIyvP766xgxYkStweKsrCxotdpqq46tfaqzsrIaFMD+8ssv8cknn9j+HRQUhPfeew99+vSp9bnnz5/Hvn37EBoaWmNldV0wmUxYuXIlAGD8+PG248XFxcjNzYXRaMT8+fMxefJkxMbG4tq1a/jss88wa9YsrF27Fr169Wrwe1OFxl2cwWA0GL1e72BXAlQGrK030KpV24cPH7Yb16NHj+YX2UicLC07AGwm0tVJRuQ8Sy007KIOqqVf2XC+wjH5R4roiVgUU3G7oIJSRsNCXG+m8fucoPIQW4IguCtoBHcpECijESCTKaUfUAFAJAxIh7tNNLZKD8ilnxQFANlyGp9nAaQ/5yuwVIgtQRiIZIi3l9EI1J9DboOf6+rqirZt26JXr1647777oNfrsX37drz++uvgOA4TJkwAUGlpfWvl9OTJk/HCCy9g9+7d+PHHHzFy5Mga3+e7774DADz88MPVPv7hhx+ipKQEr732Wq2a9Xo9WrWq3llSrVbbxjSEcePGoXv37igpKcH58+dx4MABFBYW1vq8nJwczJ8/HzKZDO+//z6Uyoa7Obz55ptITk7GtGnT7KzKS0srnQkLCwvx5JNP4vnnn7c9FhUVhRkzZuDDDz/Et99+2+D3pgqNuziDwWgQ1irr6gLY1sdjY2NtQWtPT0+4ublBqVS2qB7Yl1ZdrH3QHcwD6CC2BEHgiPRcG6wKFFuCIISapR88OkYk6YIK/ioa9v5UAvVGIuGGAKWH2BIEIZfIRh8FyMz3KmjYoCYQqZZjSIt86S9TANC53maBRoJ4O14jtoRmxyyjsb6m0qILchrJfDVVWNfGhQsX8Nhjj2H69On4v//7P9vxMWPG4NFHH8XixYsxcOBAeHp6Vvt8juMwb9487N69GwcPHqwxgJ2ZmYkjR46gY8eO6Nixo8PjJ0+eREJCAhYvXuxgmV0dGo0GBkP1192KigrbmIYQHByM4OBK15thw4YhOjoajzzyCAwGA+bMmVPtc3JzczFjxgzk5ubio48+QufOne0eLygogNls70Ln4+NT7WvFx8fju+++w6hRo/DKK6/YPWYNzgOwJRZY6dOnD1q3bo3k5GSUl5fDyYk5UtYHFsBmMBgAHHthA/9WWVsf0+l00Gq1ABwrrQG0qKB1VfIf9xBbQqMofKdMbAmCoCFiKZlLIHMaALqZpB9tmK5sI7YEQVhdcUlsCYLgTWSB7czRWB6kmWjYoIbJafQr9TKJrUAYZhmlfx3SE2kZc0xDI4mG42kEyDL4hlUStTR8OekHyAAgiEa8EyUqGhvoaiLXoROQfmuKu0FjXtsFNK61N0CjdVVDWbduHQwGAx544AG74zKZDMOHD8fp06dx5syZ21p6W4O9t9uv37p1KywWS43V14sWLUJ4eDh69uyJ69ev246bTCbwPI/r169DrVbD398fAODv749r167BYDA42Ihbe0dbxzaWTp06ISwsDN9++221Aezs7GxMnz4d6enp+PjjjzF48GCHMZMmTUJ6errdsYsXHQvd3n77baxfvx5jxozBkiVLIJfbZ7t5eHjA2dkZZWVl1QbAfXx8kJGRgaKiIhbAric0dqgYDEat3NoLu7rH4uLisG/fPkF1CUFvlZ/YEhrFTE3L1l9XfjPRsGOmwgG19HeGkvQZYktgNCEmIpXJxUSSaKhw3pgvtgRBcFJWnyUvPaS/fP/YdEVsCYJwP2j0TJ5gpGEPel1JoyrwFJEe2L/RyJvGTZ7GnK81kcQLHwJBzzTQsBC/JKMR2JUTSS5pKNYCM4vFcR/CZDLZ/bcmrl69CgA1Vk5bLBZs3boVzs7OGDVqVLVjMjIyUFxcjOHDh1f7+LBhw9C5c2ebDXmnTp1w5coVJCcno2fPnnZjT506hZCQkAb1v64JvV6PmzdvOhzPysrC9OnTkZmZiZUrV2LAgAHVPv/999+3VYZXB8/zWLx4MTZs2IAJEybgnXfeqbafOMdxuOeee3D8+HFkZWWhXbt2do9nZmZCoVA06blTQforYAaD0Sg0Gk2L6GNNmV+MWWJLEAQlkYocNyK35i5G6Z9nqZpGckm+hYY9aAWRDHE1T8M300lGw75XTeSeEl1OYwNsh5P0N24DZR5iSxCEEjL3FBrXIBopbsB9PI2EhGscDVsPDUdjzqcmYpVOwXT6bov0g/QAkGC4KrYEQbhXQ6N9XkMJDw/HkSNHsG3bNnTq1Ml23Gg0YteuXZDL5bjnnnsAwM4x1YrJZMKHH34IABgyZEi173HkyBFkZGRg4sSJcHV1rXbMe++9B6PRMeHpzTffhFwux8KFC+2CsmPHjsWOHTuwZs0auwD23r17kZ6ejmeeeaZuf4Aq5ObmVlvVvH//fty4cQP9+vWzO56ZmYlp06YhNzcXn332Gfr27Vvja3fv3r3Gx3iex3/+8x9s2rQJkydPxptvvgmOq/meMn78eBw/fhwJCQl44403bMd//vln5OTkoH///nZW44y6QWM1wWAw6kVcXBz0+n9t0Pr37w8ASElJQV5enliymo1y2atiS2gk74gtgNGEmIn0Ta4gkI9AY6uEDlQqsAvMNNpS3K2qvX+XFLhqcsxGlyJXVTQ24QHpB1V6yLS1D5IAl3ga19oSGY3ZUC5Ho5L1FGgkLRqrqXaTInfLaNgxu/IEFp4AAizStw5Q09gqQaSahrNQAS99V77GMH36dCQmJmLjxo3IyspC//79UV5ejp07d+LixYuYOXMm/PwqiyZGjx6N7t27IyIiAr6+vsjOzsYPP/yAy5cvY+TIkRg6dGi177F582YAwOTJk2vUER0dXe3xpUuXQi6XO1ic9+3bF6NGjcKuXbvw1FNPITo6Gmlpafj6668RHh6OmTNn1vtvMWfOHLi7u6Nr165o3bo1ysrKkJycjD179sDDwwMvv/yybWxJSQmmTp2KGzdu4KGHHkJubi4SExPtXq9bt242e/XbsXTpUmzatAlt27ZFt27dsHPnTrvHvb29cd9999n+PXbsWHz//fdISEhAfn4+evfujRs3buCbb76Bm5ubQ99sRt1gAWwGg+GAXq+HRqNBZmYmsrKybHYlRqMRnp6etnElJSUwGFr+hOOM/lmxJTSKGNCo8uSIhAOTDDQq6i0t3Lq/LpyvoGF7b7BIP6ACALLbZNpKCQWRapyjZddrHyQBXOU0KlVcaexNQyuX/vL9H55CDRlwN1zEliAIvyqJBDx5GlGVUM5ZbAmCoOdoBLD/tpSILUEQnDjp3zsB4B6Z9O8r+/hCsSUIghw0JrYenPSTLhpD69atsWXLFnz66ac4evQoDh8+DKVSifbt2+Ptt9/GpEmTbGNHjx6NpKQkHDt2DCUlJXByckKHDh0QHx+P8ePHV1s1nJeXh4MHDyIiIgKdO3duUu1LlixBREQEtm3bhjfffBMeHh4YO3YsnnvuObi41P9a9dBDD2Hfvn3YsmULCgsLIZfLERgYiClTpuDxxx+3BfIBoLCwEDdu3ABQGaC3BumrEh8fX6cA9rlz5wBUWrFXDZJb6dWrl10AWyaTYdWqVVi9ejV27tyJ/fv3w8XFBUOGDMGCBQvQtm3bep87gwWwGQzGLWg0GqSmpsLX1xcBAQEwGo1ISEiwPV61OjsnJ6fGx06fPg2lUomCggJhT6ABtPQe2G2JVOzKiJynhsgCO8os/cVKPpEKzyKL9C1tASDPTCOo0kruJLYEQZATaUtBJSEhj8Zp4gYv/WCgC5F5kJOFRlJUNwuNe8pxGY2K+r4VNC6254m4emiq6eEpRWikIwCFBFpT+BDpZ36ZiINSe4X0ky4aS1BQEN59991ax1UXXK0Nb29vW4C2IRw4cKDGx5RKJZ588kk8+eSTDX79qjz22GN47LHH6jQ2KCgIFy9ebJL3Xb9+fb2fo1arMX/+fMyfP79JNDBYAJvBYNxCfHw84uLikJqaioSEBMTFxSE2Ntb2eNWgtfWxw4cPA6jMNJLL5dX2xriTYRbijDsJbyqTeAI7CSoimdNUcJfR2DChUlGvIhIkKzPTSDBJV9L43uaapR/A9pfTsBBPl9H4zsqJOCgRybPFUbX0A2QAnZZOBXzL2rdpKJ6cUmwJglBK4HvrB+knwQNAKpEE1Bu8vvZBDAaDPDR2bhgMRr2Ij4+3Ba3j4+PtHqsazL71scGDB6OoqKj5BTLsoLIxRMVCPM1II9u2QuEutoRmh4rl9A2DTmwJguCvaiW2BEGgYlnXVeEltgRBKFC0/FYvdcENNDb6TLz0g0e5RPohKonMER4qpxE4uqGkYa29T05jra8ncK0FABWRIBmV/RILgVYGbXgi95SKO9/JsilQaGg41jGqp7i42ObiWhNyudyulSmDJiyAzWAwHIiLi8Phw4fRo0ePah+v6ThDHJ7kA8SWIAhfctliSxAEZxmNRVk/AnbMW8w0khHudQoSW4Ig5FpoZIgbCNgPAkAZkfMsBY0qz0Ii55lRUSi2hGant4uP2BIEoZSCFQ2A7U40rrXlRBIvqEAl4KkhkvxFJSEhh8D6uq2CRluKHkTW12cqssSWwBCRd955B9u3b7/tmMDAwNtalTNowALYDAbDhrWHtU6nQ//+/W3W4DXB/f/KAZ5ApuedzEUVjb9/F9ColqOxnQn8YZb+FCRMRmPz61h5mtgSBMGNyIaJBxGr9HPGPLElCIKZp3FX6amUvqsHADzg0k5sCc3OcVOu2BIEgUobgzxTidgSBCFSRSPxgsYdBdAQ+X22ImKt7QMa59lRLv1WZDlEEha78DRcPUrVrAKbMrNnz8aYMWNuO0atVgukhnEnQ2NWxmAwHLAGq6ty+vRpdOnSBVptZe+52oLYUglcp6+cLraERrG74n6xJQjCxzIaG5phSg+xJQjCLk76FoRpFTSstamQbygWW4Iw0GgtRwY5R8MS/hhfKLYEQbhhKBRbQrPzBh8itgRBSFPS+G16cTQSUL9HmdgSBKE1RyOZL4iITXEeETcamTS2rWqlgpP+iQbwNMIYaTIagfpg0AjUM6onPDwc4eHhYstgtABoXPkZDIYDer0ey5cvtzs2Y8YM2//rdDpotVp4e3vDYvk317qggEYvlpZECZEqTxpnCXTkaWwMXZVJ37Iui0CQHgAMPI0Fth+RHthUrrWFZhrBBioMlAeKLUEQfiEQU/kfR6NitxPcxJYgCBfkNOYIkH7cCADQzkLgIgTgJEdjjuBJJGvxOkejDRAFh4RWRNwR/jIXii1BENrKaTgoMRiMxkHjys9gMOrE119/bft/a4W2v7+/rSLbijW4nZycDIWi8jJiNBpRXNwyq9PCn+4gtoRGEb2MxgJbbqZRqXKByALbTGCn7x61n9gSBOFEebrYEgShlZyGtXaphUYfT38ljYSEVjIatms/WmhYwlOgo8xDbAmCcJkvF1uCILQiYt0rI5P+RYMiIj3NtUQsxI0ScQ6sDU8Cn+eIchrX2gsqGudZSORay2AwGgcLYDMYhKlqI24NSltJSUmxVV6fO3fOdlypVMJkqsykl4yFuPPte33f6RQM7yO2BEF452yA2BIE4aSJxiY8hSCZVK6RtXGvU5DYEgSho4VGADtTQcNOMhvSvwYBQGvQCGCf5WhUeWo46buX5BHZzGzN0fhtZhG51lLhqswotgRB8CRy78zlK8SWIAhy0EiEz+Slnwi/Sk1jnRIuo1GZXMjTuKcwGIzGwQLYDAZhqtqI39oT21p5nZKSYvcco1F6E4zAsv5iS2gUb7ahEdjtKLYAgThikd5vrDo0BDLE9aDxWR4rTxNbgiBcVtKwezWYaWwMlZilv8kHAAUqT7ElCMK1inyxJQiCRib9e2d/NQ07+OOmXLElCEKJmUaALFLlI7YEQcgg4hzgRGSr9KKBRuK0iojtdHul9Od8JhJG6UA5kf70HgT2hBgMRuOhcRdnMBi1Eh8fX+3x2NhYh17ZgGPAG6i5ivtO75s9CzqxJTSKmzIaAewcGY1J/F3wFluCIBwpuSq2hGbnftcwsSUIQhKRAHaBqVRsCYJAxQbVWU6juirPTON7G6KW/qYtAHhx0neCoFKB7S13FluCIFAJYFOBIzJHMBAJknkrXMWWwGhCFJz0f58KItX0uRYaibZmnsa1lsFgNA4WwGYwGHbcGpjOycmp9rGcnBwkJCQ4PHffvn3CCG1C1kBb+6A7mKU0XDPRjUhV4C4nGlmoD7tGii2h2flBf01sCYwmxE9Jw8qNClQ2TCi0awCA9kSsFinYvQYRCNIDQBqRNiOBylZiSxAEC2h8nmYi53kPaAR2f4P07ykA4CmjkbToAenvI3hxKrElCIKZo3GtVRFJimIwGI2DBbAZDIYdVW3FgcqgdGxsLAD7oHXV44cPt+we0vqfvxdbQqO4rnxCbAmCUCGjsVg5ZcoWW4IgpOqlb/fKKrClhYpA71mAznlS6VGvldMIBlKxtS0l0CswpSKn9kESIETVshNo6wqVwJEPaKxT9EQqk4+Ypb9OAYB2chrJX6156Qd2AaCMQILJaXPLdk+sK53kHmJLEITLPA2nqMZQUFCA999/H+fPn0d2djbKysrg4+ODzp07Y/bs2ejY0b7Zoslkwpo1a7B161akp6fDw8MD0dHReO655+wcU6vy+++/Y+3atUhOTkZZWRm8vb3RqVMnvPPOO3B1/Tehq6ysDJ999hl++uknZGRkwNXVFffeey+ee+45tGnTxu41jx8/jmnTplX7fh4eHjh+/Hi9/xZnzpzBl19+iQsXLiAvLw8WiwUBAQEYMGAAZs2aBT8/P4fn7Nu3D2vXrkVKSgp4nkf79u0xffp0jBo1qtneNzExETt37sSlS5eg0+mg0WgQFBSEMWPG4JFHHoFGQ2N93pSwADaDwbgtVa3FY2Njq7UO79+/f4sOYqf9EyG2hEax23C/2BIEoYSGWxTaEKnyLFVJvyqQJ7CJAAAPa9qJLUEQsjjpB44AQE3Ems+Fo3GeVCzhMyH9ewoAaCD9BBM3NY1AYCCRSnMdaNw7Mwi4IwB0qh9diPRlvWIuFluCIKQRSc5sy7mILaHZcSeSFFVMpAd2qYXGHKExFBcX4+rVq+jbty9at24NJycnpKenY/v27Xj44Yfx2WefoX///rbxcXFx2LlzJwYNGoTHH38caWlpWLduHU6ePIlNmzbB2dm+hc3q1auxbNky9O7dG0899RRcXV2Rm5uLU6dOoby83BbA1uv1mDp1Ks6dO4chQ4Zg+vTp0Ol02LBhAyZPnoyNGzciLMyxgGPy5Mno3r273TG1umG/42vXrqG0tBQjR46Ej48PZDIZLl68iE2bNmHXrl3Ytm2bXTD5yy+/xPvvv4/g4GA8/fTTcHJywt69e/HCCy8gKysLs2fPbpb3/euvv+Dm5oZHH30UXl5e0Ov1+OOPPxAfH4/9+/dj3bp1kMlo7EU0FSyAzWAQwxqAzsnJga+vr90xwN4y/FY0Gg0yMzMBwJa5Ze1z3ZIJf7qD2BIaxbZ4GlVHp2U0egWeN+SJLUEQOqt8xZbQ7JyqyBJbgiDI1Y6ZrlIkm0gvMg8im9OXiPTZNfE0NsCKLDSCRzdNZWJLaHbaqb3FliAIN0Bj/p5nlv53FgAC5W5iSxAEKsmZhUTmfFSCgWSS+Xjpf2+pfJbnjDRcIAIVNO6djSE0NBTffvutw/FHH30UgwYNwurVq20B7N9//x07d+7E4MGDsWrVKtvYjh07YsGCBVizZg3mz59vO56UlIQPPvgATz31lM1htSY2bdqEc+fOYfLkyVi8eLHt+NixYzFq1Ci8/fbbWLNmjcPzunTpgrFjx9b7vKtjzJgxGDNmjMPxnj17IjY2Fps3b7adX35+PlasWAFvb29s27YN7u6VhUJTpkzBE088gY8++ggPPPAAgoKCmvR9gcoYy61MnToVixYtwsaNG3HixAn07NmzzufNYAFsBoMcVovwqjenqrbht7tpWauxqwa8vby87GzF9Xq9LahdUFDQXKfBqMJ5IoHdSAONzWmNgsatOcci/Y1bKj12Q3gam196jsbnSQUDkcAulWCDp5zGXMibwHlerqCRyDfWiUabkVIZjeoqXyLJX9d4GgkJXnInsSUIQnuORq/vNAKBXQBw46S/j3DNUiK2BEGQE3GKupencQ1qDry9vaFWq1Fc/K+TRmJiIgBg5syZdmOHDx+OwMBAJCYm2gVaV61aBa1WaztWWloKtVoNRTV7kseOHQMATJgwwe54cHAwevTogd9++w2ZmZkICAhweG55eTk4jms262xrELrq3+LkyZMwGAyIjo62Ba8BgOM4jBs3DocPH8bOnTsxd+7cJn3f2xEYGAgAKCoqavB7UkX6dzcGg9FkVA1c63Q6aLVa5Ofno0ePHiIraxzlslfFltAoXM2OWW5S5AcnGrcsuYnGYmUgPMSW0Oxc1kjfxg0Aviu/LLYEQfBXtRJbgiBUWExiSxAEtYzGPcVLRmMTvg1H4zz3V6SJLaHZGegUKrYEQfjLQsO6N0xGo7oqh4irh5xI9eMN402xJQhCvkz6CcUA4C+nsSYzE0ha7M95ii1BEL41XRFbgiB8BRr7CDujo2/7+P79+2t9DaPRiOLiYpjNZmRmZmLNmjUoKyvDwIEDbWOSk5Mhk8nQpUsXh+d37doVu3btQmFhITw8PFBeXo6kpCT0798fiYmJ+PTTT5Geng6FQoFevXrh5ZdfRmRkpO35BkPlPKe6ILRGowHP80hOTnYIYL/zzju2imR/f3+MGTMGc+fOhZNTw9du5eXlKC8vR0VFBS5duoQPPvgAAOz+Fla91b2P9RySk5Ob/H2rUlxcDKPRiJKSEpw8eRJffvkl3N3d0a1bt3q9L4MFsBkMxi1oNBpbFXZL7mtdHwo0D4otoVFs8H5YbAmC8IeJRkVOWwWNINlpAtaZNFIRgHudarddkgJBRCrNb8ppVCZHmmgsg8qkv5cJADjAF4otQRCcZdKv8rxgLhRbgiAEyGgEVIpBIymKCgFEereDRgtslPM0fp8aIj2wSwm4C/nT+MoiUOUhtgRB8CfiJnkduka/xsmTJzFt2jTbv93c3PDEE09g3rx5tmNZWVnQarVQqRzXC9YezVlZWfDw8MD169dhMpmQnJyMI0eO4PHHH0dUVBT++usvrF69Go8++ii2bt1q62vdvn17HDlyBMeOHbMLbJeXl9sCwdaWowCgUCgwcOBADBgwAAEBASgoKMDPP/+ML774AkePHsU333zT4CD2l19+iU8++cT276CgILz33nvo06eP7Vh4eDiASpt0nufBcf8m4B0/fhwAkJGR0eTvW5W5c+ciKSnJ9u/OnTtj4cKFtpasjLpDY+eGwWDUGatNuJVbq66Byv7XVptwaxZYSyatMEJsCY0jXGwBwkDFBlVJpLLBh8DO0Eg9jRX2XP6G2BIEYRwRu9c8IlVklxU0rrUBFhqbtlQShjoopV951IrIFsWfplyxJQhCkZmGde/dKl+xJQhCR5P05+8AkCkn8r2Vudc+SAI48zRmCb9bpN/CL1dBI+BpstBoXXXFVCi2BEH4pQ4V1rURGRmJtWvXwmAw4Nq1a0hMTERpaSkMBoPN8luv16NVq+oLYtRqtW0MAJSUVNrxFxQUYPHixZg8eTIAYOjQoWjdujUWLlyIlStX2qqMH3vsMWzatAkff/wxnJ2d0adPH+h0Ovz3v/9FYWEhgMpgtpXu3bvj888/t9MwadIkLFu2DKtXr8b69esxZ86cBv0txo0bh+7du6OkpATnz5/HgQMHbBqsdOjQAf369cORI0fwyiuvYObMmXBycsLevXuxZcsWu79FU75vVV5++WUUFRUhLy8PR48exZUrV5h9eAOhsTpkMBj1xhq4zsnJsetxvW/fPpGVNT1BHn+LLaFRBHveJbYEYaCx7kSKUfoLTwAk0hHCFI79fyQJjfaWUPE0Ap4+RPp46ohUBRYQ6T+r4mkE6sMIOEH4Sr+ADACQT8Rxx0kh/aQLACgiUsm6T05j49WDyFzIRGJFBpRxNIKBHeTST0j4g2/ZxTN1ZYrFW2wJgvCbskJsCS2GVq1aoW/fvrZ/jx8/HmPHjsWNGzfw5ZdfAqh0VLVaZ99KRUWFbUzV/8pkMowfP95u7Lhx4/Cf//zH1vcaAEJCQrB69Wq89tpreP31123H7733XsyZMwcrV66Eq2vtPc3nzp2Lr776CgcPHmxwADs4OBjBwcEAgGHDhiE6OhqPPPIIDAaD3WsuX74c//nPf5CYmIgdO3YAqOwd/s477yA2NtZOb26ufWKpXC6Hp6f9HLau72slKirK9v9jxozBmjVr8MQTTyAhIYHZiNcTFsBmMBjVotfrsXz5cpudOACcOnUK/fv3BwBbBbaVggIaQbc7kfVEnNwsRhoLbFe59DenAaDYLP3FSgmRpIvJmnZiSxCEEiKbXwoiLhAhPI3N6WyORlAl1VIitgRBuCaX/vc2U0Hj5nnZWCi2BEEosUh/vgfQqcDuBCI9zYkkuTkRyRCnkrRIIZGmyELDKSqLSLTGm4ArX3PRqlUrDB48GAkJCUhLS0NQUBD8/f1x7do1GAwGBxvx7OxsAJV9qAHYelW7u7s7jFUqldBqtbh586bd8R49euCnn37ClStXUFBQAH9/fwQHB2Pp0qUAgHbtat8XcnZ2hpeXV5PGEDp16oSwsDB8++23doFkd3d3LF++HK+//jquXLkCtVqNyMhIXL9+HQBs9ugA0K9fP7vXDAwMxIEDBxr0vjUxbtw4vPfee/juu+9YALueELkkMhiMhlK1J3Z5eTmWL19e49jY2Fjb49YK7pbQRzuwrL/YEhrFY+E0LuU0wtfATSpWi0ovsSU0Oy5EqshSZDQ2p+VEArtUyCaSkFBGYDMToPP7VBIINqgInCMA9FLSCHieNtNIcvbnaCSg5oPG5DbKTCOoQmOGAMjlND5PIyf9HRNfWcN65rY0rnI0AvVdTNJPzGxOrBbYVlvqTp064cqVK0hOTkbPnj3txp46dQohISHw8PAAAHh5eSEoKAjp6ekoLy+360ddUVGBgoIC+Po6zlU5jkO7du3sgtWHDx+Gm5tbnYKyJSUlyMvLQ2hoaL3P93bo9XqHgLsVT09Pu2rqQ4cOAQDuv/9+27G1a9faPcdqud6Y970VaxV8Xccz/oVG1IPBYDSYqj2xhw0b5vB41R7Zp0+ftgW7rdbjM2bMgFarbRGB7JbKqHIaS88kIncsrZzGokzPS38D7Hd5ee2DJECOuUxsCYIQIq/dEksK0Ajr0sFA4FoLAP5yGj0RKwj8Qgt4Gpu2ORYa904XjkbgKIunkcynJxLyLCXgdgEAzqDRfsOFyHlSaDNyg0hgt5RIstBlBY3zbAx5eXnw9na0lE9LS8P+/fvh5uZmCyaPHTsWO3bswJo1a+wC2Hv37kV6ejqeeeYZu9cYP348/vvf/2LDhg14/PHHbcc3btwIi8WCgQMH1qrvf//7H/7++28888wzdkFwnU4HrVZrN5bneSxduhQ8z2PIkCF1Ov+q5ObmwsfHx+H4/v37cePGDYcq6uq4ceMGVq9ejbCwMDzwwAO241Xt2RvzviaTCcXFxQ7nDgDr1q0DAHTt2rVWnQx7iIQDGAzGrWg0GqSmptbrOVUv2NX1yI6JibFVYPfo0QM9evQAAKhUKiiVShiNNPowCs0/SukvVABARqS6KttEo6+TRSH9DHEv0PD37yuj0d9ST8QHwplIr+8SAlUqAOApoxE8KgSNOaaBQAD7kpFGxe5dKhr9La+baFSZuBEJePpzNBJtqSTSuHE0toTNRObwqQSCuyVEnIXyLDQS4ZVyGuvOxvD555/j6NGjGDBgAIKCggAAV65cwY4dO1BWVoYlS5bYqoX79u2LUaNGYdeuXXjqqacQHR2NtLQ0fP311wgPD8fMmTPtXnvWrFnYu3cv3n//fVy9ehUdO3ZESkoKNm/ejICAAIeAd0xMDO666y6EhYWB53kcOXIEBw4cQHR0NJ566im7sbNnz4a3tzeioqLg7++PgoIC7N+/31YdHhMTU++/xZw5c+Du7o6uXbuidevWKCsrQ3JyMvbs2QMPDw+8/PLLduO//PJLnD59Gl26dEGrVq1w5coVbN68GSqVCitWrHCwTm+K9y0rK8P999+PIUOGoH379vD29kZBQQF++eUXnDx5EnfffTemTJlS73OnDo3ZCoPBcCA+Pt6uv3VdqGofUrVHtjWYnZ+fj0GDBkGptN8sNRju7In0pVUXxZbQKP400QgecQoak1sXGY0NMC9O+sFdE4FAAwBc52hUHVGxKHbhaFSpUKlsoHEVAow8jc1pCtWPo5RBYksQhJ+NWWJLEIQoAi1jAMCVSIXnFb5UbAmCICfSyiCLp9G6ypWIE4SOgBMEld9mG7mb2BIEgUpCQmMYNGgQsrOzsWfPHhQUFMBkMsHX1xcDBw7E9OnT0alTJ7vxS5YsQUREBLZt24Y333wTHh4eGDt2LJ577jm4uLjYjXV2dsY333yDTz75BHv37sWOHTvg4eGBiRMnYsGCBQ6V3126dMGBAwewZcsWcByH8PBwLF68GA899BBkMvvf5vDhw3Hw4EFs3LgRRUVFUCqVaNeuHeLi4hATE+MQN6gLDz30EPbt24ctW7agsLAQcrkcgYGBmDJlCh5//HH4+fnZje/QoQMOHjyI1atXo7S0FL6+vhg7diyeeuqpaiuqm+J9NRoNYmJi8Oeff+Lo0aMoLi6GRqNBu3bt8NJLLyEmJgYajfT3QpsaFsBmMBh1pmo/7JycHNuxzMxMaLVa3HXXXXZW4S2l6trphRyxJTSKyz40KrBNPI1t+B7Kuk+kWjJ5BCobVEQCgVSgYj8YbKGxPCgh8vuksc0HnAONoAqF6sccAkF6APBVuNQ+SAKkM6t0SUFjNQa4E6lMbkfAchoAUiH9dScAdOCk3+4oykAjofgKjVsK8jkqK5WG07dv39vaW9+KUqnEk08+iSeffLJO493d3fHqq6/i1VdfrXXsiy++iBdffLFOrztnzhzMmTOnTmPrymOPPYbHHnuszuP79++P/v37C/q+KpXKoRKc0XhozMoYDEaTULUfdtXKa2tvh1v7XLeE4LUUSFHSqCKTm2gsVs6bC8WWIAg6An2To1Q0khHSzTQCR35yxz5GUiRTRuOeoiMSJAvhabh6mIjYg1LogU3F6rXQIv1KOQCIkLcSW4IgFBGpIqMSasi10KhMpvKBaoicaCaBQP3fShp7jBoiidNEpnwMBqORsAA2g8FoENYe2gkJCbZAdv/+/R2C2Izmp7OBxuT2DxmNAHahmUa/I63cWWwJzU4/k/Qr5QDgdyL2/kYiK2w3nsYmn5FIBbaSiPX9TSLBQE8CfXb/1GeKLUEQDEQCnoUy6ScsAkAEkZ7mVGgro+GQQIVsAtbaAI2e5kUW6QfpAUBHIGERANxlNFwgGDVTXFwMvf72SWNyuRyenjRaZzKqR/p3NwaDUS+swWirRXhNxMfHIy4uDrGxscjJyUFISAhOnToFT09PFBQUCKSWAdBJWvSQ0egTwhP5REMJ9HU6AhrJCFR6Q/tZaAQ8Szka1yBfnsYyKIejESQLkNMINqgJVJEFqjzEliAISgKfJQAYiWzCU8GXo7EeS+NpzOGDCLSlAIBQIueZS6AC21dG47MMIXKtTeFLxJbAEJl33nkH27dvv+2YwMBAHDhwQCBFjDsRGjs3DAajzuj1eixfvtzW6/p2WC3F4+LikJmZCS8vL4SEhDhkT93pVdmvl0WJLaFR3BNMI9hQSMTKTUtkUXbWkCu2hGbnblaNIykuyGhUb7gSsaxrxdM4zyIiVulUKs3LIH2L/3RDodgSBIFKBbaCiNvFPWp/sSUIQg5PYz3mw9GoCtTxNOyYlUT67LblpR/0PGLJF1uCIOiJtHSi8ctk3I7Zs2djzJgxtx2jVtO4JzNqhgWwGQxGo7k1kG3tia3T6aDVapm1eDPjZiEyuZXT2Jwu5qWfOQ0AreTSD9RT6bdmIFJdZSJynnIiy4Myjsbn6Q/pW04DwF5DutgSBMFbIf1Kc46jMd9zJ9BKBQACFNJ33GFIjywLjQpsZwKW0wDQCkqxJQjCbxbpOyG2ImI5nWEqFluCIAQp3MWWwBCZ8PBwhIeHiy2DcYdDY7bCYDAahNVOHPg3GG0lJSUFFkvl5m9LtwxfA23tg+5gIuU0LuVmIsGjMjONTHg1gQ0Ts5yGO8Kx8jSxJQiCs5zGhokfkWCDgkjFLhX3kntVNKofKcyE3iSyOb1NKf1EPgC4YKGxCe9P5HtrJJIUpedoJIjrSdxVgCCeRgA7ROYltoRm5x+OhiNWJ0WA2BIE4SqRz5PBYDQO6e8eMxiMBmO1Ewfsg9kA4O/vj3PnzoklrUk5bsgWW0Kj+EZJY3IrN9OoZu2s8hVbgiBQqNo1E+lnHqxq2UlAdSXfXCa2BEEoJhLwtPA0fp8aGY1N2wIiNqhuBJK/Niulb4EKAD+UXxFbgiC0VdNop5LF09iEryDQxgAAXAlcawHAhUjbmJtEXHcoJAx1Bo2K3b9BwwXifEWO2BIYDEYLgMasjMFgNJhbA9dStALvrfITW0KjWEKjhR7MRBae/5h0YksQBArBozILDTt4vYVG4MhVTiOoQoVCIgkJCguNzWknJY1lbSmBQH0EWoktQRACiSR/VRDp9Q2ORmUyFVRE2gA5Ewlge1tofJ7uMulfh05ZbootQRDayFzFliAI3dU0inEYDEbjoLHSZzAYDaZqFXZVqga2bw1qK5VKGI0tZ4NtFlp2wHC/0kNsCYKgMNNYYLeV08gqPt3CnQ/qQhd1y06OqStULMTLLDSqqwpNpWJLEAStksbGUAWRBJMiIr/PNgR6BZ4mUnXUGjR6YF8zFYktgdGEBHA0kvmoBLDTeRrX22IibjRZBJIzw+Q0Wh2lmAvFliAITkTcLhgMRuNgVwoGg9Egbg1sWwPaKSkpqKiogEajgVKpRElJCfj/X2l5pwa133Ju2VboG7zvFluCIHwpo7EBdsVEI6uYglW6ksjmFxW6a1qLLUEQQnkam9NJfMtOXqsrdytp9IYuI2Jrm2mRfrCBQgUZAKSbaSQLRSg8xJYgCKU8jWtQBpGAZxkR54BgmYvYEgSBho8bIOc4sSU0OxVEPs0ouYfYEgQhlZd+0gWDwWg8LIDNYDCahFv7ZZ86dQoWiwUGw51voZtWGCG2hEZx7S7pWzEDAJG9afRS0OgVuN+QLraEZidK5SO2BEYTYiJgew8A2dydmWzW1Ch5GgkmZ4lUcATLaWzCe8nUYktodk7oM8WWIAgdibi0pFtobE57cNL/bQKAL5EKbB3u/D2MpiCfSO92f85JbAmC4Eng91nI0/htFhG5Bl2uyBdbAoPBaAGwADaDQRiNRoPY2Fjk5ORU+1hqaip8fauvkrQ+x1p5nZOTY2crrtFo0LZtWwB3ft/sz1Utu9LDBdLPtAUAGZHzPGbKFVuCIOQbisWW0OwoCVSZUyKHQOUjAOiJVD/mEKl+NFpoVJF5EAjsAoAHJ30bVI5ABRkAaDgaSTRUkoWokMPrxZYgCCoivaGpuEXlkgnUSz+AXUHE7SKNSPuNXkQczhpLSUkJVq9ejb179yI9PR0ajQahoaGYMmUKxo4dCwA4dOgQvv32W1y8eBE6nQ4cxyEwMBDDhw/HtGnT4O5u34bot99+w969e5GSkoKLFy9Cr9dj6dKltte7FYPBgE2bNmH79u1ITU0Fz/No3bo1Ro0ahSlTpsDFxTGZ+Pr16/jss8/w22+/oaCgAO7u7oiMjMTzzz+PqKioRv1NUlJSMGnSJJhMphp1X7hwAR999BFOnDgBo9GIiIgIzJkzB0OGDKnz+9T373orCQkJWLx4se21/P1puKM1NSyAzWAQJj4+HgAQGxtb7WPVHbeSm1sZZLNWXsfFxSE1NRUJCQkA/g1s3+nBawBYA63YEhrFHNCoCjQSWaxQoY9LG7ElNDtU7CR7OQWJLUEQ0swlYksQBD2R722AgkYPPT0RG1Q5kSQ3CsaZYSpPsSUIgj9oJAvlg0bgiAqdQOPeqSRyT7nM0UhI0PMU7p40vrd+BIL0AMhEa6jM3xtDdnY2pk2bBp1Oh/HjxyM8PBzl5eW4du0aMjIybOP++ecfAMCECRPg6+sLo9GIs2fPYtWqVdi9eze2bt0KZ2dn2/jvv/8e33//Pdq1a4eIiAicOXPmtjpiY2Px888/Y9iwYZg4cSIA4MiRI/jwww9x6NAhbNiwwW78sWPH8PTTT8PX1xeTJ0+Gv78/bt68ifPnz9viCQ3FZDLhtddeg0qlgslU/Vr3woULePTRR6FSqTBz5kxotVrs3LkT8+bNQ3x8PCZMmFCn96rv37UqGRkZWLZsGZydnVFWRsORqLkgcklkMBhNjUwms6verhrwrlqJbcXNzQ1KpRIFBQWCa5U67Y00Jn2/yGicp4qjcWtOM0s/q7itopXYEgQhqTxNbAmC4KmgYVEsJ3KtdSVyrS2w0LAgbK+4ffa7VOAJJC3S6E4PXCHSS7gNkR67uURsbc9A+g5KANCBcxVbAqMJ8eVoJAxRIJuIC4Qnke+shogLRGN46aWXUFpaisTERAQEBNQ4bvbs2Zg9e7bD8Xbt2mHZsmXYu3cvxo0bZzseGxuLN998E2q1Gtu2bbttAPv69ev4+eefMXz4cHz88ce24zExMXjqqadw8OBB/PPPP2jfvj0AQKfTITY2Fp06dcIXX3wBtbppnbLWrFmDa9eu4YknnsCKFSuqHfPWW2+hvLwc//vf/3DPPfcAACZNmoSHH34Y8fHxGDZsGFxda7/X1/fvWpU33ngDYWFhCAsLw86dO+t+ggwHaOzcMBiMJsManPby8sLy5cvtqrSrWpKHhIRAr9cjKioK586dQ3ExjcWuGARbiFQ2EJnb6i00+s+2kku/FxmNXH8gWNWyXSzqipyI3SuVTHgjkV+oMxFL+FQLDUt4b5n0K4+oWPdSuQadNxeKLUEQfGXVV98wWiZGAslCAJ3zzAeN9XU7XvpzhCIiiZk+chqtcdx5GnO+hnLixAkcO3YMcXFxCAgIgNlshl6vr9auuyYCAwMBAEVF9gUkfn5+dX4N635+dS1Gra+j0fx7/fn2229RUFCAV155BWq1GhUVFeA4DqomaN959epVfPLJJ3jxxRdr/DukpaXhzz//RK9evWzBawBQKpWYOnUq4uLisH///hrt0utCTX9XKzt27MDRo0exZcsW/O9//2vw+zAqYQFsBoNRL6yW4TXZjgOVQe7MzEwAQFZWlqD6GNLFwtNYYFOh0Cz9yqNUAw3HCTMRW757NDT6FXlxNDZMbhAJeHoRsVo0E9mELyVgCS8jkkRDpfesC4G+7QDgT+TeeY3ANQigk4RK4yoEqIicaSkn/W+uiqMR8CzkaSRd3G2hkWgbHR1928f3799f7fFDhw4BAEJCQvDMM8/g4MGDMBqN8PHxwWOPPYYnn3wScrn9b6K0tBQVFRUoKyvDX3/9hWXLlkGpVOK+++5rsP727dvDz88PmzdvRkREBPr06QMAOHz4MLZt24aHHnoIwcHBdrpdXFyg1+sxadIknD17FgAQERGB+fPnY/jw4Q3SwfM8XnvtNURGRiImJgY7duyodpy1mrxbt24Oj3Xt2hUAcPbs2XoFsOvzd83Ly0N8fDymT5+Ou+++u87vwagZFsBmMBg1otFokJqaWuuYHj16AABUKhX4KkFGo7FlTLpmtXCzwqPqmm1kpITKQuOWFSGnYTtNoVqugsgmXyeVj9gSBOGSqVBsCYJQyNFw9aAS8KSChoglfBgn/SrP60SstTPNJWJLEIRiMw27VxcVjUA9RyTB5CwR54DWcunfUwDgMoHWVQDgI5O+w5kzkfne+YpssSUIQrHKU2wJdzSXL18GALz22msICgrC22+/DQDYuHEjVqxYgczMTLz11lt2z3nrrbewfft227/bt2+PTz/9FO3atWuwDrVajc8//xyvvvoqXn/9ddtxmUyGBQsW4Omnn3bQbbFYMGvWLAwePBizZ89Gfn4+Vq1ahQULFuD999/HmDFj6q1jw4YNOHPmDLZu3QqZrObEJGshXXVV5v7+/nZj6kp9/q6LFy+Gq6srFixYUK/3YNQMjSs/g8FoEFX7Wt9KSkqK7bH+/fvj8OHDMBhapp3PGrRs+9slNGJkMHFmsSUIwjljvtgSBKGP0tF+SGqkWwrFliAI6WbpJyMAQImZRmCXiHsvsgw3xZYgCFSCDf2cQ8WWIAg3CPR+NIDGfK+tgkbCoo6A7T1Dejxi8RJbgiCckLeMgoPG0k1OI0imJWDHfJmT/jwIAB5Vh4ktQRD0RBKKF+3f1aDnlZZW7rM4OTkhISHBZsE9YsQIjBw5Eps3b8bMmTMRFvbv92X27NkYM2YMCgsLcfLkSfz5558oLCxs9Dm4uLggNDQUbdu2tVWU79mzBx999BF4nsfcuXPtdJvNZowaNQoffPCB7XifPn0wevRoLFu2DKNHjwbH1X2dmpGRgQ8++ACzZs1Chw4dbju2vLwyGbY6y3JrP27rmLpS17/rvn37sGfPHnz11VdwcpJ+UpFQsAA2g8GoFWvfawDIyckBAFsP7KqP3YpSqWwRVdh/RO4WW0KjWK+YLbYEYaCxnwlZPSZxLZkiAh8olZ7JNwwt28WirviraAQbqNi9FshoJF6oZTQ+z7+IJH/5yuve866lYiGymelD5Forl9GY14bwNGxQszkamdPfymjcU7rAQ2wJgnDWQiNpkULbGD0v/T0EADhBpG87T2TO11CsfaVHjx5tF4xVqVQYPXo0Vq5ciePHj9sFsMPDwxEeHg6gMtC9Z88eLFiwAHK5HCNHjmyQjuzsbDz00EPo27cvPvzwQ9vxkSNHIjY2Fh9//DGGDBmCiIgIAJVB4rKyMkyYMMHudcLCwtC1a1f88ccfuHLlSr2qwt944w14e3tj3rx5tY61Bo6rK7KrqKiwG2M2m1FQYN/6T6lUwsPDw+5YXf6uRUVFePPNNzF69Gj069evzufGqB0WwGYwGLVi7XsNwFZ1HRISgtjYWOh0Omi11Vcwt4TgNQD0vNCwm/idwqagll1BXld+InLH6qzwFluCIJw05ootgdFEBKtoXIPKifQiA5GgirOMRr/SEiL2va3V7mJLEAQnAtaZbTka1QqZaJnOVfUl30LjGlROxClKT6Q9The5h9gSBKGUSLfvMJmb2BIEoRUBG6U00HDEusdCYy5EI8Wt4Vjtrn18HFu2WY/dvHn7BJ1hw4bBxcUF3377bYMD2Js3b0ZhYSEeeOABh8ceeOAB/PDDD/jjjz9sAeyAgABcvny5Ubqrsm/fPhw+fBiLFy+2s/7Oz8+3/ff69evw9fWFk5OT7e+Wne1oxW99vnVMZmamQ4/yXr16Yf369bfVVN3f9eOPP0ZxcTFiYmJw/fp121hrJX1aWhoqKioQEhJSr+pzBgtgMxiMRlJT8JohHIkaGsEGi5FGdiaVwG6kUvpWbicqMsWWIAi9ZdL/LAGggEjVkQ9PY3lwUUmjWi5HXia2BEGg4hygJ+Beklh+RWwJgnCXxrEvnxS5YSwUW4IgRKocN2mlCJW2FF4ErJgBQEFkAz2PSDVrGqS/VikjkkRzTUbjOxvC05i/N5QuXbpg48aNyMx03FeyBmK9vG7f8sJsNsNoNNYrYHwrVidWs9lxHWI9ZjL9+9vs3LkzLl++jMzMTFtQ24r1XLy96164k56eDqCyCrs63nvvPbz33ntYvXo1BgwYgHvuuQcAcOrUKYexp0+fBgDbGB8fH6xdu9ZujLt77YnR1f1dMzIyoNfr8cgjj1T7nJiYGADAmTNnbFbmjLpBY4eKwWA0GRqNBrGxscjJyUFCQoLNQtzd3R0KhcLBeoPR/NxlorHAPi62AIFQcTQ+Twp0VEm/zzcA/G6hcd13l9EIeOaBhvW9mYhlnSuR720pEYeEXpz0Wxmkymi0pXAmUE0PAN3U/mJLEIS2PI2NyEwiyXx/g4ZzgCdY8EhKdCJQtXuao5GYWUhkXhtlYdeg2xEdHQ13d3ckJibi6aefhqurK4DKit7t27dDqVTarKpzc3OrrXjeuHEjDAYDunTp0mAdVuvsHTt2YMSIEXaPbd++HUBl0NrK+PHjsW3bNmzcuBEDBgywVRufP38ep0+fRlhYGEJCQur8/oMGDbJVTFclKSkJCQkJmDp1Knr06IG7774bABAcHIxu3bohKSkJ586dQ1RUFIDKIPv69evh5uaGwYMHA6i0O+/bt2+N712fv+sTTzyBMWPGOIxNSEhAUlISFi9ejFatWkGpZN/7+kJj1cRgMGrFGoi2ZlbVRHx8PIB/rcSt9uIzZsyAVqvF4cOHm10rwx4ljT14yIlkiJuJWLldNEo/6FlMxLrXX0nDurfEQsPu1VfuLLYEQSgiYmtLpZ8wFf7ki8SW0Ox4KGhcg4w8jfmeikigXk6kMjmLLxdbgiDQ+HUCbkR+nwU8jTn8BQI5qCYi984KIlehS3LpOws1Bjc3N7z22mt4+eWXMWnSJEyaNAkcx2Hr1q3Izs5GbGwsAgICAACjRo1C165dERUVBT8/P9y8eRNJSUk4dOgQAgMDMX/+fLvXvnDhAg4cOAAASElJAQDs37/fVu08ePBgREZGAgAmTJiA9evX49ChQ4iJicHQoUMBVFp7//nnnxg2bJhdILdXr16YNGkStmzZgscffxzR0dHIy8vDN998A4VCgf/85z/1+juEhoYiNDTU4XhZWWVCyz333ONgb75w4UJMmTIFjz/+uC1ekZiYiPPnz+Odd96Bm1vdWkvU5+/atWvXal/jl19+AQDcf//91QbiGbVDY7bCYDBqxRqItgama8NaiX369Gk88MADsFgsyMjIgKenZ4urwp6Fll3pka4IEFuCIMjNBFZkAEqJBMnaE7AQTyHyWfYlYiF+wHz7BC+pkGLIE1uCILgQqUw28DQ2hmREgkdRSuk7e+zTp4otQRAy+UKxJQiCE5FrrZ5ZiEuKcI5GIs1fFuknRQF0EobMMuknLSqJOEWllGfVPkgCtHIOFlvCHc+4ceOg1WqxevVqrFy5EhaLBREREfjwww/telpPmzYNR48excaNG1FYWAiVSoXQ0FDMnTsXM2bMQKtW9i5Of/31F1asWGF3bM+ePdizZw+Ayh7R1gC2q6srNm3ahFWrVuGXX37BsmXLIJPJ0KZNG7z44ouYMWOGg+7FixcjIiICW7ZswZIlS6BWq9G9e3fMmzcPnTp1auK/kiMdO3bExo0bsXz5cnz11VcwGo2IiIjAf//7XwwbNqzOr1PfvyujeWABbAaD0SCsldgxMTHw9fXF8uXLAVRWcmdmZkKr1SIlJQV5eXf+RvgatOw+3k8Tqa6iUplMxUK8kEgmPAWucxViSxAEKoFAd7lGbAmCYCaymekqo2FrayDSE/FARZrYEpqdKaq2YksQhGNcsdgSBIGKvT+N1RjAEznTG0QqzW8ScYsKVtBwi3ImsI9AJYA9zDlMbAmCUAYa6+vGcv/99+P++++/7Zh58+Zh3rx5dX7NCRMmYMKECXUe7+npiddeew2vvfZancbL5XJMnz4d06dPr/N71JfaziEyMhKff/55o96jvn/X6liyZAmWLFnSqNegDgtgMxhESElJsfWurg8ajQapqTVXQoSEhNg9rtfrERAQAL1eD39//xYRwG7pBJloZMJTsUGlcZZAoVn6G0NGIgFPKlAJBHrJaASwdUQsxMuJBI+oVFeFqFp20mVd+A00KgI9ORqVyVSSv6isU2hcaQEPIr9PL6W32BIEgYqFeAgv/bXKH/xNsSUIwl2yutkbt3TULCzFYDDqALtSMBhEsFgs9bIItxIfH3/b58THxyMuLs42JicnBwkJCXZj4uLisG/fvvqLFoiWbiGeoaDRQ4OKhXi5hUawQUkgQ1wlY9MsKWEisglfRGSTj8omvN5CozI5WEnDvi2CcxFbQrNTTuTXmcqXiS1BEKgEsF04pdgSBIHGaoxOQkKahcZ1yJtIEuohU67YEpodKr9NncxJbAmCkM/TcHJjVE9hYSGMxtvvfyqVSnh4eAgjiHHHwnZWGQxGo7HaiQPAjBkzbD2xAbSIftgrZe+LLaFRrDCtFVuCIPAcjcVKZyI99ChwooJG7yoaoQagg8JDbAmCoCMSwM7naVRgt1V6iC1BEFyJBI+uErC1PV+RLbYEQbhPEyS2BEEoldP4bZp5GuuU1hyNoEoBEfcSJUcjJcFE5Pc5RO4rtoRm5wqR1lV5RJyiNASKGhg188wzzyApKem2Y3r16oX169cLpIhxp8IC2AwGo0kJCAiA0WhESEgI9Ho9dDodsrKybAHtkpISmM1mmM13TjZ++srm68khBN9bbt8LRSrI5TQW2MkG6WdOA0AHlZfYEhhNBI1fJpBqKRVbgiBQcYGgUsGRaqJhx6yV0wiqUNjokxMJqOQSqTpSQ/rfWUpkEkn+MhOZI5QSmfPpCCR/AUCRTPpJqL5Ekmj+rqhf68eWSoRa+kkXjJp5+eWXUVR0+7Wqu7u7QGoYdzIsgM1gMJoUq6V4amoqEhISbP9f201JTALnrRNbQqMYuWyl2BIEwWKmsZHQV0XDEl5NIexJZEGWbqYR2NUS6Q0doaDRc00HGpu2HqBR/ZhLxDlAznFiS2h2VByNLQolhXkQgFIilaxULMR5IoFdFyJbpQVEWhkEyF3FliAIbThnsSU0O8W4cwphmpMAlYfYEgShmMj8nVE9UVFRYktgtBBozMoYjDucuLg46PW3z2bOyWk5GXjWIPaMGTOg1WoREhICrVYLADh8+LDI6hxxsrwrtoRGMdpAI+D5hbxEbAmCUAQa/UrlkP4mPIVzBIBAufR7sgJABpE+gVSCDSoClawAkE2k6ijHWCy2BEFwlUu/jyeVVipGIoHAIrY5zWiB0Ph1Aj5E5vByIglD1wnM+cIJBOkBoMRMw6WltZJV1zIYjNphAWwG4w5Ar9dj+fLltx0TGxsrkJrbc2uw/U4MSNeX44aW3WvvM7Wf2BKEgUZcF+cMeWJLEIR+qgCxJTQ7HUw0AmQrjJfEliAI/qpWYksQhDIiwQa9hcZNhUqgfqIqVGwJgpDFSf97683T+M5+q6dx73SSqcSWIAgeRBIvOCLJmVlE2saEyGm47kTwNFyU9phb9r5WXfBXSD+RDwBaEWmNc7r0htgSGAxGC4AFsBkMRq1oNBpbAD0nJ8dmDb5v3z6RlTUNn6ta9sbK3QYaGcVHZTRy4an0Zf3HIv1quUOWO7d1AqP+BBKxH6RSgV0hs4gtQRAURIIN/tKP6wIAziqkX5GTARq/TR8ljcARmSoyjkZQ5QpPI7DrRMQSPpNIGyBnOY3EKCeZ9L+3p0z5YksQBFcZjXtKbxcaCagMBqNxsAA2g8Golfj4eNv/x8XFITY2Fjk5Oejfvz+WL19uV5Wt0+mg1Wqh0+nw999/g+d5GI139mb4q6tajj17dSTiLrElCIKMyCZ8AJH+sw/yHmJLaHa+5G+KLYHRhOSYaViI0wgdAakVNDbAPJU0Ei8K5DQcEijMhagk0QTJadhmuitobDll8DQC9VQwE5kNUQh4AoALEQtxJYHzvFvhLbYEQfjVkCG2BEG4Yr59K00Gg8EAWACbwWDUE2swOy4uDqmpqXbHqjJy5Eio1WoolZWLooKCAuFEEmOvisakjzNLf9MWAEosNOx7MxTSrzSn8p2lwmV9rtgSBEFPpFrOTUmjhx4VVw8dkYp6Ch/nQM5TbAmCcIGjMX9PqsgUW4IgRDILcUnhI6Nh31tgoTHnuwIaSagUEsDSCfT5BgBfBY0E1JscC0sxGIzaYVcKBoMBjUZjC0bXxq3W4T169GguWYLx7tO+YktoFMPiafR0+kLG7JilxElLodgSGE3EvU5BYksQhGwLjWCDmpN+9QYAuBCxBy0msJkJAL+b8sSWIAi5Jum33yhU0Qhgz9XTcNyZBn+xJQjCb2jZLanqyl0VBLJoAGxS0wh4OrPgkaQYIJN+dfINjkayv5GIC0SksmXvxQrBf//7X3zyySe3HfPrr7/Cz88PSUlJ2LNnD/744w9kZFRW8YeEhGD06NF49NFHodHY7x2fOXMGO3fuREpKClJSUlBaWopnn30Wc+fOrfG9LBYLNm/ejK1bt+Kff/4BAAQEBGDw4MH4v//7P9u4V155Bdu3b6/xdRQKBc6fP1/r+VclLS0N0dHRNT5+8uRJuLi42P595coVbN682XZ+hYWFmDRpEt555516ve+tWCwWPPLII0hOTkafPn3w9ddf2z2+bds2xMXFVfvcjh07Ytu2bY16f4qw2QqDwUB8fLytx3VNWG3CT58+jf79++Pw4cMAAE/Pyk2mllxhvQZasSU0ioVyGpnweguRBpdEiJB5iC2h2Um1tNzrYn0I4Wn06LrGSz9wBABuHI3KZBUBm0UAcCGy3DPKiASP1H5iS2h2OnAutQ+SAGc0NObvHStonOd5IhWeEUTmCD15GtWPahr5CDgpp1G162yR/vXWzNH40mo5GuvrcDON/vSNYejQoQgJCXE4npGRgY8++ggdO3aEn1/l+mDZsmXIyMjA0KFD8dhjj8FoNGL//v1YsmQJvv/+e2zcuBFq9b/frUOHDiEhIQFt2rRBx44dkZSUdFstJpMJzzzzDH799Vc8+OCDGD9+PDiOQ3p6OtLT0+3GTp48GX369HF4jfPnz2PdunUYPHhwQ/4cACr/JkOHDnU4XvXcAOD06dNYs2YNgoKCEBUVhSNHjjT4Pauybt06W/D+djz11FMICwuzO+bh4dEkGqhBY0eDwWA0Gr1ej+XLlyMmJsbW9/rUqVPIy2v5FS+XVl0UW0KjeFZOo1JFaaERbCgjYiF+zij9/rMKjsaCTPpbJZW0I9Kv1EAk4/+SqVBsCYKgIVJdFSinEfQs481iS2h2zhFJFppgpHFPuaakMReaoacRbPhMQ+P3GcTRsBC/YikRW4IgBIBG4kUJgeBuLhFHrFAZjXntFbn057WNJTIyEpGRkQ7HP/roIwDAww8/bDv2wgsvoHv37lAo/l3/TZ06FS+88AJ27dqFLVu2ICYmxvbYo48+ilmzZsHFxQXHjx/HtGnTbqvl888/xy+//IIvvvgC/fv3v+3Yrl27omvXrg7HrUHkqrrrS4cOHTB27Nhaxw0aNAhJSUlo1apVrdXbdeXGjRtYsWIFYmNj8e677952bN++fdG7d+9GvyeDBbAZDEY9CQkJQWxsLHJycvDTTz8B+Lc6G4CtMrslEf50B7ElNIq33qOxYdKy0wzqTk91gNgSBIFCAJshLVLNNDb5XGQ0rLUD5DSqq/KJbPRR2dC8YSwUW0Kz01vdWmwJgnBdKf1AAwDc5GgkRRVpaATqqeAGGp8nlSpPKsmZbrz004o9ZTS+s2bQmCOEsQrsBmE2m7Ft2zY4Oztj1KhRtuM1BUtHjBiBXbt24eJF+11Vb++6tx0oLy/H2rVrMWjQIPTv3x88z6O0tBQuLi7guLpde4qKirBnzx4EBgbivvvuq/N7V4fBYIDRaLSzDL8Vrbbp3VYXLlyI8PBwTJ06tdYANgCUlpZCqVRCpaLhFtZcsAA2g8FwoGpA2kpOTg6ASrtx65gZM2ZAq9VCp9PZ/tu/f38cP34cPF854TIa7/zeiy29AnupnEZvORBxEKdia5tRoRNbQrPTSkkj2/86VyG2BEEIIFLh6Uxk0zbdQsPuNYRIoP738htiSxAElUz6y/dsnkYyAhX7kmKexgQ+jUiw4bkKGsGjLRoaVYE6nsYcnkorMk+59JNQr5tuii1BENoqWoktQRCoVGDXVvm7f//+er3er7/+iuzsbEycOBGurrWv9bKzswHUL2B9KydOnEBxcTE6deqE9957D5s3b0ZxcTFcXFwwfPhwvPTSS7UGjHfu3ImKigpMnDgRMlnD9z3Xrl2LlStXgud5eHp6YtiwYXj22WdtLU6bi++++w5//vkntm7dWif9c+fORUlJZRFEaGgoHnroIcycOdOuQp5RN9hfjMFgOGC1C6/KrT2y4+Pj0aNHDyFlNRstvQL7jaU0dsBobAsBJ425YksQhEGuYbUPauFU8DSy/akQABpZs3IqURUZjQSTQv7OTyRsCtqovcSWIAg3zdIP7k6roJF08auGxhzBDzSsmHUcjU34/6pp9BJuS8Ry2oNIBbZSphFbgiBQcA4YJaNRvOFFY/qODAWVXb6m5bvvvgNQ2We6NkpKSvDll19CqVRi9OjRDX7Py5cvA6js/yyXy/Hss8/C19cXP//8M7Zt24Zz585hy5YtDn2ob9Utl8sxadKkBmmQyWTo1asXoqOjERQUhJKSEvz222/YtGkTjhw5gu+++w5eXs2zJszOzsbSpUsxc+bMai3dq6LRaPDggw+ib9++8PHxQXZ2NhITE7Fs2TKcOHECn376aaMC+BRhAWwGg2GHRqNBampqncb++eeftv+3Vm1bq7FbopV4S4VK1qKcgCUWAJQS6YHNEQiSKepopcRoGVwnUhVoJGKz2BU0gmS+RJZ7u0w02lJ4yKUfDDygpDGvpXGlBf4GDbcLH9AIBD5gdhNbgiAkKWhUJntw0q/YBYAbllKxJQiCB4E2QAUyGgHPRHOe2BIE4X7OT2wJglDfCuvbkZOTg0OHDiEiIgKdO3e+7ViTyYTY2Fikp6cjLi4Obdu2bfD7lpZWXkdv3ryJnTt3Ijw8HAAwfPhwAJXV1Tt27KgxqH7mzBlcvHgRgwYNgp9fwz731q1bY/369XbHxo0bh27dumHRokVYsWIFFi9e3KDXro1FixZBq9Vi/vz5tY4dMWIERowYYXds8uTJeOGFF7B79278+OOPGDlyZLPolCo0djQYDEadiY+Pd6i2BioD29VVXFe16CgoKGhWbYzqUREIBAI0Ap4A4CKjUeV5wSj960V7ZdP33GGIh4qjkSXrCelvfgFAEl8ktgRB0BOx71VzNJa1RQQqsA8bi8WWIAiDNMFiSxAET47GvDafp5GAWkKgjQEA5BOx1s4x0QjsusppJJhkE/jeUkm0DVd6iC1BEDJA497ZlGzbtg1msxkPP/zwbceZTCa88MIL+PXXXzF79mzMmDGjUe+r0VQ6WXTq1MkWvLYyceJE7Ny5E8eOHasxgL1582YAqFV3Q3j00UexcuVK/PLLLw1+jcLCQocWqJ6enpDL5di9ezcOHDiAtWvX2v4O9YXjOMybNw+7d+/GwYMHWQC7ntCYfTIYjEYTHx9v639tJS4uDvv27RNJEcNKWxONoMohInbMbYj0OxphlH4V2Q88DZvFPAuN89QQCZAVEwnUZ5tKxJYgCFoCFbsAMEBJo4LjV2O22BKanbs1De/P15KIMNO4pxBxSsdeBY1N+CMcjQQTdyKJFx2UNNxo/M005rYXZdL3nQ7haSTanuJprFNGGmlcg5oKnuexZcsWaDQajB07tsZxRqMRL7zwAvbs2YMnn3wSzz//fKPf29+/0r7f19fX4TEfHx8AldXZ1VFaWopdu3bBz88P999/f6O1VEdgYCDOnz/f4Oc/88wzSEpKsju2f/9++Pr64u2330a/fv0QGBiI69ev243R6/W4fv06XFxcau0xHhxcmbzKiv/qD41VE4PBqBcajcZWhU3BCjzduWWf4+9eDe9j0pJQyGksPPuZafRcW8Vlii2h2QnnWAW2lKgADVvbMguNit2higCxJQhCKif9ahwAuMLTsCnuQMDZo7eJRq/SBGSJLUEQ1AQsbQHAh0ivbx407HuLiFTUBxHpgX1RLv3ALgDoCaxV8okk2gYSuaesl9NoATSliV7n999/x40bNzB27Fi4u7tXO8ZgMOC5557D/v37MX/+fDzzzDNN8t5Wu/LMTMd9vKysyjltTf2nf/jhB5SVlWHGjBmQy+VNoqcqFosFqamptQaQb8fLL7+MoiJ7hzYfHx/o9XoUFBTgyJEjGDZsmMPzTp06hWHDhmHEiBFYvnz5bd/j6tWrANAonVRhAWwGg+FAdZXWen2lZaEUe1ynFUaILaFRLLuLxoKs3EjjPP9QSd8eFADMRulvgCWVp4ktQRCCVdIPqACAv4xGcokbkeXBn5ZCsSUIggpNv0lwJ+LP0Qh6+hKoPPpZTqPqaDTvL7YEQUiX0UiKustE4975g6z66iqpEc3TcMSS/mqsEhkR6/sCAh3XSolYiE8x0Nj7ClZUH/BkVE9tNtwGgwELFizAwYMHERsbi6eeeqrJ3jswMBC9evXCH3/8gTNnzqBTp062xzZs2AAAGDRoUI26ZTIZJk2a1CgN1njEraxevRoFBQWYOnVqg187Kiqq2uMymQwrVqyo9rFnn30WERERmDdvHgIC/k2Or06nyWTChx9+CAAYMmRIg3VShcZdnMFg1ImqgeqqnD59Gl26dKk2aO3m5obi4pZtJdZb1bJtJ2dxNGx38jgaPboGGWhswstV0l+sFBOxgz+jl341PQD4OtEIYOcS6J8HABYi27YuRJZ73kR6t3etkP73dgtPozLZxylUbAmCcMNCY/6eJadxDeJAIEIGoICT/rUWAM6CRsKQD5FK87vN0re+L6NRgI2vVDQC9W6gkeTWFBQUFGDfvn0ICwtDjx49qh3zf//3fzh48CC6deuGgIAAJCYm2j0eEhKCrl272v6dnp5uG5OWVll88ccff+DTTz8FAPTs2RM9e/a0jX/99dfx2GOPYebMmZgyZQp8fX1x4MABHDlyBP3798cDDzzgoOnixYtITk5G//79ERgY2Ki/weuvv46ioiJ07doVrVu3RklJCY4ePYojR44gPDwc8+fPtxtfXFyM9evX2/4fAFJSUmznFxkZicGDB9/2PZVKZbXnZcXLy8vh8dGjR6N79+6IiIiAr68vsrOz8cMPP+Dy5csYOXIkhg4dWu9zpw6NHQ0Gg1ErGo0GqampSEhIcHhsxowZ0Ol06N+/P1JSUmCxWGw9G1p68FoK+BHp6aTnaUxu96po9BP2g/QX2EWgkTlNBRVoXGt9iPR9pGIPWkjkPJ1AI8Hkolr6waO2PA1bPT+exlbMEEP1FpdS4yyB3yYAnOSLah8kAdJlNO6d0WY3sSUIQgWNnyeKCSxVUjkav82+RhpJFxYiv82mIDExEUajscbqawA4d+4cAODkyZM4efKkw+Pjx4+3C2CnpaU5VBcfPXoUR48eBQDMnz/fLoAdERGBTZs2YcWKFfj2229RWlqKwMBALFiwAE888QRkMseLUG1V4/Vh4MCB2LlzJ7Zu3YrCwkIoFAqEhITgmWeewcyZM+Hi4mI3/ubNmw7nd/78eVuv7PHjx9cawG4Io0ePRlJSEo4dO4aSkhI4OTmhQ4cOiI+Px/jx48Fx7ItfX2ismhgMRq3Ex8fb+l7fytdff22rzs7LyxNYGaM2DslobCQoLTRsUCN4GhXY1wgsPuVEAp5ULMTziVQm54PGeSqJ/D5LeRqJNKlEgg1yAtWPwyweYksQhEQ+V2wJgnBT4ym2BEFI58vElsBoQqLMNIJHRTSmQtBKvzU0AMBE4PP05GiEMVqZaVRgF8kJfGmbiJkzZ2LmzJm3HXPgwIF6vWbv3r1x8eLFej2nXbt2+Pjjj+s8fuHChVi4cGG93qMmJk2aVC8b8qCgoHqfX32o6bVffvnlZntPqtC48jMYjDqh0WhsQezk5GQoFPaXCGvVNePOYpSJRmWDkaNxnskcjWBDL5P0N4Y+N18XW4IgjFGFiC1BEHQcjd0vCgEyAHDmaGyYKGm4oELJ0/jeHuel33/2sDFfbAmCEKn2FVuCIOzVXxNbgiBEqWn0NJcTqRr6laPhMkclma+1gkaC+CmT9O+fWo7GZ6lW03BHMHA0AvUMBqNxsAA2g8GwER8fb/v/mJgYm514XFwcMjMz0bFjRwD2wW0W1BYfKpZYZiLn2d5Co4fenwrpV3neJfcRWwKjCSkkYgnvBBpuF1R6YFO5d/oTsWO+D63EltDspMmkH6QH6LTGUXA07ilUoBJqkBGZIzxgcql9kAQ4paRxvR0il35i1F+g4XZBpT+9madxrWXUTGlpKcrKav9d+/iwvTXK0FjpMxiMehMSEmKrxtbpdEhNTUVGRoYkA9bHDdliS2gUx8w0Mv4/V9Cwrw+WuYotQRA6WZzEltDsnJXpxZYgCKlELKczzDQ2TKhUV/nLaPRMTjXTqCIbYqRhU3xOLf1g4BBVkNgSBGFfxQ2xJQiCjIirB5XzpOLS4krEpvgEkcAuTyQh4W+uXGwJzQ6Va60baBQ1XDLqxJbAEJk1a9bgk08+qXVcc1qBM+58aMzKGAxGvalajQ3A1gM7JyfHrjJbr9dDp9MhKysLFoulRQa4O2lWiC2hUYxSrRRbgiCYifQByrZIf+EJAGcIONZxRBbYVNAQqSIzEqmv0lloJF64y6TfrgEAritp/D6vcdL/3pbxNNo1PCEPFVuCIFxR0Pg83XkCE1sAp0AjKSoQNO6dRiKBXS8iLi0VBLb4zxCpTG7L0Ui0dVZ6iy2BITLjxo1D9+7dxZbBuMOR/t2NwWA0CdaAdo8ePdCjRw8AgKdnZbVLSUkJDAaDaNoai5PlXbElNIq7ESC2BEG4TqDvIwD4yKRfmQwAPc3SP89TcukHGgAghFeJLUEYaOxNk0m8MBAJ1BuIBANbG2l8nhfk0r8QXTC2bGekunKPMkRsCYKQhZa7RqwPN4jcU1pz0p+/A8BlnobrjhORSnMq7VQozG19iCSX6Al8lgDgTGWBzaiR4OBgBAcHiy2DcYdDY7bCYDBqxVpNXR2HDx+u9nhLrLaWIlkcDeuv/5hoZGcuRI7YEgShtVL6iRd9jTQW2L8paVilq4gssFsRWR5cIbI5TaXX96fKfLElCAOBfIS+qtZiSxCEIiKb05E8jYDnLlOG2BIEQa7wEFuCIFBJ5tMTSXK7DqPYEgTBh5P+2jOLp7Hu1JlpuPI9ZZZ+33YGg9F4aOxQMRgMO0aOHInsbBrVDXWhXPaq2BIaRZLxbbElCMIpBY3g0b1KP7ElCEKoWfqf569KGgvPLCK9oXvKafTYpWIn6UzEEt4HNBwS7pK7ii1BEH4xZoktodlpT2SLIktOI4BdxNE4zxwDDacoKj2wgxTuYksQBAoBTwAIIGIhfgnSD+56cDTmtQ+CxjXokJqGS8tksQUwGC0cGndxBoNhh9FoxNChQ+0qrnU6HbRare3fKSkpsFj+3XCQcrV1geZBsSU0ivt9+ostQRBiOOlX7AKAZwWN4NFSLlVsCc1OD7m/2BIEIVDuIrYEQaBi5eZGpI+nD5ENMBqhBuAiXyq2BEG4Syn9RJoroOEsdIOnkeRGpY9nb2caPc09OaXYEgShjILdBYACnkbwKB00km19oRFbQrPjChoJqIfkNL6zOUQS4RkMRuNgAWwGgyiHDh2Cq+u/1SolJSXg+X8DZ0YjDZslRsuhJ1cstgRBeIorFFuCIEQqpW8JX0Ek4Ekj3AmEmGlsmPwjpxE88idSjdOKxmUIhXIaQRUKtDXT+G2eJJJ0cdlMw97/bhUNG9QMIokXneEmtgRB0HM0EqdDTDRWK//jpd/KIFyprX2QBOjJ00j+2smXiC2BwWC0AGisDhkMhgM8z2Pv3r0Nem5sbCyWL18OoLJ3dmZmJrKysmCxWGyB8JYUAA8sa9kVzPe3o7HALtTTqJYL10i/ugoANATse09UZIotQRDGq2hUHalp7PGRCex60iiuQqacxhe3jEgfT28CzgG/y2gEdt146VfKAUCRWfqWtgBgIdJ+g0hOFHI5Gsl8CiI+LYflNK5DHTjp7yMU8y1nn7Ex7INObAmCMEROI/mLwWA0Dho7VAwGo9HExcXZLMdzcnJsx/V6PQICKq2dtVotcnJykJCQgLi4OJw6dQp5eXmi6K0P6c6HxZbQKAb73i+2BEG4rKTR3/KqKVdsCYLgJpN+z7VuahoW4tdRIbYEQVDKaQQbqPTADjPS2JzOlNNY7pUTsZ0+Y5J+pUqBiUYA28DT+M4qCCQsAoCMSCCQRh0rkM3TmNuaiaQkKIl8c2UEzlNNxEJcyUn/swSAP1AktgQGg9ECoLGjwWAwGo1er7eruo6NjQUAW8DaivUxnU7XIoLXUoBtmEgLKp/nP2XSr06e7HSP2BIE4XcFjaoGKtegfI5GJeseJyqfKI3NaY6nce8MU7QSW0KzoyPSD7GTOkBsCYJQQiRQTwWOyDql0EIjgO0mo9F+Q0UkkYbC71NPJGExj8hcSG+h8Xk2JRaLBY888giSk5PRp08ffP3113aPl5eXY+XKlfjhhx+Qk5MDX19fjBw5EnPnzoWTk1O1r/nTTz8hISEBKSkpMBgM8PPzQ/fu3bFkyRKHsSUlJVi9ejX27t2L9PR0aDQahIaGYsqUKRg7dqxt3LZt2xAXF1ft+3Xs2BHbtm1r+B/h/5OSkoJJkybBZDJh6dKldu8PAFOnTkVSUlK1z3399dcxZcqUOr3PoUOH8O233+LixYvQ6XTgOA6BgYEYPnw4pk2bBnd3d4fnbN68GRs3bsTly5chl8vRsWNHPPnkk+jXr1/9T5TBAtgMBqP+xMfH2/4/Li4OM2bMgFZb2Yvm8OGWXc3cEumg8BBbgiBQmdtS6etEofKohEh8LISXfjU9AOiJVCa3IlLZQKXSvJDIRl8oR6NXoJnA95bnpX+OAHDRQCPRl0piZiuVj9gSBIEncA0CABORthQq0HAX0hP5PAsIOAeUEEkuoZCMAAAVFhqW8E3JunXr8M8//1T7mNlsxpw5c5CUlISxY8eiZ8+euHDhAr766iucOXMGa9euhUxmv0n15ptvYuPGjRg0aBCeffZZaDQaZGZm4tSpUw6vn52djWnTpkGn02H8+PEIDw9HeXk5rl27hoyMjGo1PfXUUwgLC7M75uHh0bCTr4LJZMJrr70GlUoFk6nm9a5Wq602kN6pU6c6v5f17z1hwgT4+vrCaDTi7NmzWLVqFXbv3o2tW7fC2fnfteibb76JDRs24O6778Zzzz0HANi5cydmz56NDz/8ECNGjKjzezMqYQFsBoMYGo0GFRX1m/TFxcXZ2YZXPa7X65GVlYXr16+juLi4qWQy6sE5Y77YEgQhhYiNUqnBILYEQdBw0s/4vyajETgqJhIg84f0e88CQDGRit18nsa11o2jsdy7bJG+tTYAGAn8Pier24otQRB0RNwuOhloJEXtBg3reyroCSTaAoAfRyMJ1Y1IcuZFAtchTwWN72xS2Q2xJQhCa5WH2BJaFDdu3MCKFSsQGxuLd9991+Hx7du3IykpCVOnTsXChQttxwMDA/Hee+9h586dGDdunO34jh07sGHDBrz11lt4+OGHa33/l156CaWlpUhMTLS1Eq2Nvn37onfv3nUaWx/WrFmDa9eu4YknnsCKFStqHOfs7OxQmV1fZs+ejdmzZzscb9euHZYtW4a9e/fa/q4XLlzAhg0bEBERge+++w5KZeW+55QpUzBhwgS8+eabGDBgAFxdabTIbCpo7GgwGAwb8fHxGDZsGAz1CJLp9Xr4+voCsO+FrdPpoNVqW7xVeGBZf7ElNIrQUOlvZgKAVla93Y3UMPM0Ps8OSk+xJTQ7hyrSxJYgCFR6fVMJ7LoRMUvnCSTRAEAJaATJqNiD/qPPFVtCs9Nb4yG2BEGgUpmcTuNSSwYaMyGgn9JPbAmCcMqsE1uCIHSUe4gtQRBac9KvqKeSOB3tTCOZz5tnYan6sHDhQoSHh2Pq1KnVBrATExMBADNnzrQ7/thjj2HFihXYsWOHXQB71apViIyMtAWvS0pK4Ozs7FClDQAnTpzAsWPHEBcXh4CAAJjNZuj1eri4uNSqu7S0FEqlEipV0xQEXL16FZ988glefPHFOr2/xWJBaWkpXFxcqj23hhIYGAgAKCr6t5f7sWPHAACjR4+2Ba8BQKlUYtSoUfjwww+xf//+RgfVqcGuFAwGo16cOnUKd911l6SswtOdW/a5PN56jNgSBOGSkcYCu7uShgXhbwbp98CmQrpZ+tn+AHC/zEtsCYJQxtGwB71CpGL3bpljTy4pYiASVonQ+Iotodm5xOnFliAIVOa15RYabheRRCzEqUCl/UYvufQTigE6CUOnLDfFltDseMpoVGAX8uViSxCEYiIJxdHR0bd9fP/+/bW+xnfffYc///wTW7durTYIy/M8zp49C19fX1tg1YpGo8Fdd92Fs2fP2o5dvXoV165dQ0xMDL744gt8/fXXyM/Ph1qtxoABA/DKK68gKCjINv7QoUMAgJCQEDzzzDM4ePAgjEYjfHx88Nhjj+HJJ5+EXO6YUDx37lyUlFSuu0NDQ/HQQw9h5syZUCgaFpLkeR6vvfYaIiMjERMTgx07dtx2fHZ2Nrp164by8nIolUp0794d8+bNQ69ever93qWlpaioqEBZWRn++usvLFu2DEqlEvfdd59tjLVYUKNxTCiyHktOTmYB7HrCAtgMBqNOaDQaxMbGory8HMuXL3d4PC4uDqdOnYLFYkF5eTmcnJxQUFAgglJ6UNkAkxOxENcT2YTvpZJ+1W4AkYxiGvWdQAZHo0eXgsgmXx/OQ2wJguBupvF5GuU0LP7Pm8vEltDshMpp9DNXEpnXVhC5p1AJkNH41gJZFhrBozIirQzMRHq3B8ukf/+8aqbRtvAeIq4BJ81sz7guZGdnY+nSpZg5cyYiIyOrHVNYWIjy8nK0b9++2sf9/Pxw6tQplJSUwNXVFZcvXwYA/Pjjj6ioqMBTTz2Ftm3b4vjx4/jmm2+QnJyMxMREeHpWJjpZx7/22msICgrC22+/DQDYuHEjVqxYgczMTLz11lu299NoNHjwwQfRt29f+Pj4IDs7G4mJiVi2bBlOnDiBTz/9tEHV0Bs2bMCZM2dqDORXJTAwEJ07d0aHDh3g5OSEixcv4n//+x+mT5+OZcuWYeTIkfV677feegvbt2+3/bt9+/b49NNP0a5dO9ux8PBwAJWV2NOmTbN7/vHjxwGgxn7hjJqhsbPKYDAaTXx8PABg2LBhNY6paiVeXk5j0XcnIOOobJjQOM8rRBZlGgJ2r0FEAmRUNoUizTQyxPNkND5PbyKB3SgTjWrWQiIVOQYCfVnTiFQdMRiMO5dyAtdaAPAl0qLLlUgP7NOmfLElNDsajkYYg0oLoAITDSe3k/uPNOr5ixYtglarxfz582scY231WZNNt1pduVYqLy+Hq6srSksr//YFBQX46quv0K9fPwDA0KFD4erqilWrVuHrr7/G888/DwC28U5OTkhISLC9z4gRIzBy5Ehs3rwZM2fORFhYmO34iBEj7DRMnjwZL7zwAnbv3o0ff/yx3gHkjIwMfPDBB5g1axY6dOhQ6/glS5bY/XvIkCGYNGkSxowZg8WLF2Pw4MFwcqr7fXD27NkYM2YMCgsLcfLkSfz5558oLCy0GzNgwABERERg//79WLp0KSZOnAgA2LZtG3799VcA/35WjLpD48rPYBCkaq9qAKioqGi21waA06dPo3//yl7SUrIXZzCE5qaZxsatTC79DZNLMjYxlRREAmRXidj3lipoVOz+1UB7tpaGnMhGn4rAxm0pT8PtItdII2HRSUbjWsuQFkaexj3lHxMNJ7cwhYfYEgShjUL6bWOyCDjRAEBSBY12a53VfmJLuOPZvXs3Dhw4gLVr11ZrS23F+pjVwvpWrDEBa8DWOt7X19cWvLYyceJErFq1ytbPuer40aNH2wXJVSoVRo8ejZUrV+L48eO2AHZ1cByHefPmYffu3Th48GC9A9hvvPEGvL29MW/evHo9ryp+fn546KGHsHr1apw6dQp9+/aF2Wx2cJBVKpXw8PCwOxYeHm6rsB4xYgT27NmDBQsWQC6X285FoVBg9erVePXVV/HVV1/hq6++AlBpvb5o0SK89tprcHV1bbB+qkh/BcxgEEWv19tZfd+ucro++Pj4OLw2AMTExNiOWQPcOp0Oqamptt4WzFK8eTDzNKrlwNGw1tbIaNyaVQQqsNvyNAKel7mmS5C6k+lAo40nXJTSTy4BACONAmy407h14h85jWo5CrhxNAKeEWrp9zMHgOtEWh0xpEWxmUYyXzuVl9gSBIFKRb07gX7CRKa18FdKPxkBAPREkoUaisFgwNtvv41+/fohMDAQ169ft3tcr9fj+vXrcHFxgZeXF5ycnJCVlVXta2VnZ8PV1dUWPA0ICABQucd/K76+lXPUmzdv2o75+/vXON56rOr4mggODgZQ//jAvn37cPjwYSxevNjuHPPz823/vX79Onx9fWutqrb29rY+NzMz06FPea9evbB+/frbvs6wYcPg4uKCb7/91i4Y7+/vjzVr1iA7Oxs3btyAq6srOnToYKvArmo5zqgbNHbJGQyGHT4+PigubljWv/VGdishISGIjY0FAOh0lRsVWVlZKCsrA8dxMBppVFMwGIy6QaGn+SUilaxt+ZozgaVEhYxGxFP6v8xKwg00kr/+UdH43g6lYV4CP4232BKanV95GgmvHhyNJLd71a3FliAIRUQCZFRoo9KKLUEQnAkkFANAGJG1yk0C4V13Iq4euWYa1toWIq2rGoper0dBQQGOHDlSbVHaqVOnMGzYMIwYMQLLly9HVFQU/vjjD6SnpyMwMNDudVJSUtC1a1fbsYiICDg5OSE7O9vhdTMzKx0AvLz+TXLq0qULNm7caHusKtaActXxNXH16lUAgLd3/dY06enpACqrsKvjvffew3vvvYfVq1djwIABt32ta9eu2Wnw8fHB2rVr7ca4u9eeRGI2m2E0GmsM3Pv5+cHP71+XgUOHDgFArfoYjrAANoNBEF9fX1y5cqVJX9PaIzsuLg5arRYpKSmwWCxQKpVwcnJi1dfNiJ6I1aKKyC3LhciizEAg27a3hUbm9CeGS2JLEISxTjXbYUmJcgKbXwBwg0bsCO48jc3pj1SFYksQhHKT9Od83nJnsSUIgoGI7f3v+hyxJQjCXUQq6mnMEAAfIgkmgTyNdWcqR8NGyZPAfslNCw3nrxm8v9gSBCFZxpK/boeTkxNWrFhR7WPPPvssIiIiMG/ePFs19dixY/HHH39g7dq1WLhwoW3sxo0bodfrMXbsWNsxjUaDBx98ENu2bcNPP/2EBx54wPZYQkICAGDgwIG2Y9HR0XB3d0diYiKefvppWyV3aWkptm/fDqVSaWdFrtPpoNXaJ4OZTCZ8+OGHACr7UdeHQYMG2arAq5KUlISEhARMnToVPXr0wN133w0AKCoqgouLC+Ry+7Xw1atXsWnTJnh5eaFbt24AKvuD9+3bt8b3zs3NrbbyfOPGjTAYDOjSpUut+s+cOYPNmzejd+/e6N69e63jGfZI/+7GYDCaDatVuLXntaenJ27evAmZTGZXcV1eTqQsRiQ0BKyiAKC3ksbG0J+mXLElCIKOQP8qTkajeoMKaaCxYUIFI09jG15PZI7QU+4ptgRB8CbgXnJBRuNae9lcJLYEQWijovHblIGG24X0r0CVyIl8npmc9JOiKEGhlrWj3ENsCYJwUU5jnZJkpJHk1lCUSqVdYPlWvLy87B6fMGECduzYgfXr16O4uBg9evTAxYsXsWHDBvTq1Qtjxoyxe35sbCyOHj2K//u//8OpU6fQpk0bJCUl4YcffsBdd92FqVOn2sa6ubnhtddew8svv4xJkyZh0qRJ4DgOW7duRXZ2NmJjY22BdKCyV3b37t0REREBX19fZGdn44cffsDly5cxcuRIDB06tF5/i9DQUISGhjocLyur3Fe855577P4WSUlJePfddzFo0CAEBwdDo9Hg77//xrZt22AymbBs2TKo1XVLVhs1ahS6du2KqKgo+Pn54ebNm0hKSsKhQ4cQGBiI+fPn241/5513oNPpEBUVBRcXF5w7dw7bt29H69at8f7779frvBmVsAA2g8GoFxqNBqmpqQDs+2xX7Xut1WptQW0Go6mgEtjliGyY+ChcxZbQ7BzgSsSWIAj3KoLEliAIfUw07AcLiexOU+mBnUekyvOchUYwUEXA7pXnKWzBAwUmGvagSgWNm4oTR2Nr7T6ehrvQVSKBXU+exvdWQ2R9vc8s/WCgkYCLGwD0IVK84St3EVuCpJDL5fjiiy+wcuVK/Pjjj9i9ezd8fHwwc+ZMzJs3z6Ea2dfXF9999x1WrFiBXbt24ebNm/D19cXMmTMxf/58h17S48aNg1arxerVq7Fy5UpYLBZERETgww8/tOsBDVQGsJOSknDs2DGUlJTAyckJHTp0QHx8PMaPHw+Oa97rctu2bdGpUyccPnwYubm5MBqN8PLywpAhQzB79mxERkbW+bWmTZuGo0ePYuPGjSgsLIRKpUJoaCjmzp2LGTNmoFWrVnbjo6KisH79ehw6dAh6vR6BgYGYOXMmnnjiCVvlOqN+0JitMBiMJiM+Pt7W6/rW41b7cKDygp2VlYXS0lJWgd3MWEjk2tLJhC8hYotlIlD92F9Bo+roH9Do9Z0up3GtLeWk/9sEAAWRe0qYWfoBTwAolNNIMHGG9D/P9mYargHaOlZ9tHSURK61hURaOh3maCQL+YPGPSWPo2Hf60skUN+JwNqzhEhiJpV7pweR9nnNwcWLF6s97uLigpdeegkvvfRSnV7Hz88P7777bp3f9/7778f9999f67iXX365zq/ZGCZMmIAJEyY4HG/Xrh0++uijJnmPefPmYd68eXUeP3bsWDu7dkbjoXEXZzAYTU5cXBxycuwzPG+tyAaA1NRUW9bWndoHO7Csv9gSGkXbUBpBFSo4EbF7pfCt/ZujkbzTlqexyafjaGyYuBAxCD1vKRZbgiCcBI3Nac5CY6PPQKDyKENGI7DL8TS+s5cN+WJLEIRIlWNvRClCY4ZAI1kIAK7xNJwgColsfbsQ+N6mmmk4nLWTeYktQRCieKfaBzEYDPLQuIszGIwmR6/Xw9fX12YdDsAuoB0fHw8Ado/rdDqcO3dOeLESh0oFtoWIpWSZxSC2BEFQy6QfqKdRx0oHM5FrbQGRgGewzFlsCYJQRqRShUr7DQq0IrJFUQAaFbtUaM3RSOa7QiTg2YqnEapvzdEIHvkQqcBOA419BAqkEEmEb83RSFpk1ExhYSGMxtvPiZVKJTw8PIQRxLgjoXEXZzAYzYK1H3ZCQgKAymD1jBkzbDbiAFgvbAGQEdm0lTVzj5Q7hebuBXOncL1c+j26Oim9xZbAaEKoBMioLA7yeBqbfGFENqd366+LLUEQ5Jz0gyr91YFiSxCEU/pMsSUIQqDKQ2wJgpDF02gBJP0rUCXnQCNQ3wY05gh/8jfFliAIzgRm8QaeRqJtppnGNUglp3JXYdTEM888g6SkpNuO6dWrF9avXy+QIsadiPTvbgwGo9mo2g/bWmmdlZXV4qqs051bdpB9gE/LtkBn0KSTa4jYEpqdCiI12KkcjU3bMgLWvQDgTyQTnkq1nJ+ZxsZQJ42/2BIEQUMgfBRmprFFcUpBI3CkJPCdZUgPKt/bciJrlV5cK7ElCMIlTi+2hGank4KGtfYVCw2r9CKeudFQ5+WXX0ZRUdFtx7i7uwukhnGnQmN1yGAwmhRr5bX1/2NjY6HT6aDVapGXl2c3VqmstAmuzRKE0XBMRBaeHBErNw2RHtjdZB5iS2h28olYMRuJXIPuAg3L6RIin2e4Sfp9AgFATcP5Hn5yldgSBMFEoJVBvkz65wgAbjyNJJoyItVyLkTm7zRmCHTmtsVE1iomjsZ9RU8g2baAiNuFn4zGHMGFhaXIExUVJbYERguAXSkYDEa9iY+PxwMPPGCrvrYGr6uzC2eB6+ZHzdHYhJcTyYSnQjpoLD4pEEZkE15roWEh7kTknuJvkv4mHwBcU9L4PE+Y8sWWIAhtFdKvQDhYcUNsCYJAxQZVQeSe4qOmUVFPZTVWTKTNiBtHIzmzkEiVZ5qpWGwJzU6ogkY1/TlDXu2DJMBNU5nYEhgMRguABbAZDEaDsFgsWL58OeLi4lqkbXhVMkJub1dyp2MuHym2BEHgiGROl1pobJg4wUNsCc3ONAONzekvVTSSEXxAI1B/RUbjGhQgo1Gx622mce+8T+UjtgRB+MWYJbaEZsdL6Sq2BEGIkNPYhM+0lIstQRAsBNwRKBEpk36yEABk8tK3nAboOAf0VvqKLaHZuUnENcBdTmPdOUTVWmwJDAajBcAC2AwGo1Ho9Xr89NNPth7YOp2uxQWzW6e27AUqx3pgSwoZaFR5FhOoPDovo1HVANDY/Loqp1GxqyByDSojUkbmSmTX9idDmtgSBMFZJn2b4nwjjb6PhwyFYksQBCciyUKRRJJoqJBsKhBbgiAYCFhOA4CbXC22BEGQcdJ3gjAQSUdQEXEvOUggMZPBYDQeFsBmMBgNwsfHfpGu1+uxfPlyh3FxcXHYt2+fULJIQiXfnydyphoZjVvzBaP0bbHOWWhsCnVXBIgtQRCKQOPzlBMJYOfIadxTdHIan2cg37KTEeuKnJP+5+kjdxFbgiD8paexaSvjiGQLMSRFKIF2DQBQSMQqXQMawUAKod1UU8t2T6wrg+XSr6YHgGQFjd8mg8FoHDR2yRkMhh0ajQYWS+Omt76+tU+orFXZHTp0QEJCAmbMmAGtVouUlBRYLBYUFNDIbG5uTCSWKgDH09gAoxFSAbqo/MSW0OxQqWQ1ErkG9TbSqCLzIdIbeosTDeeADrz0q3EAoIJIgkmqXvpzZ28iFuJeChrnWWKh0WaEioU4jRkfcKYiW2wJgkDFIYFKBXYpgV7f7Yj0wD5kln6yPwD4knGsYzAYjYEFsBkMgsTHx6NPnz6Neg2NRoPY2Fjk5ORU+3hcXBxSU1ORkJCAHj16oEePHo16P0bNULGclhGoOgIAbzmNSfwFo/Q34e9ReoktgdGEpCpobE7nEMmEV4BGUlQGJ/3NTIBGYBcAVARcWnSmMrElCEKIylNsCYJAJYBNBRp3TqCdisYcvgtoJNL8bK5+z0pqFFikX1FfJKNxTwmQ0/htUnH+YjAYjUP6K2AGg9EsxMfHAwBiY2OrfVyv1yMkJASxsbFwd3eHQvHv5YZVXjctVALYVNAT6UWWUaETW0KzE670EFuCILTlNWJLEIRWPI1r7U2ORqC+r5FGNc5ZpUlsCYLQ3SlQbAmMJuK0PlNsCYJAJRBIBbYekxYuHI2t0iIiNfVdFTQSEtL5crElNDsFRJKiIkGjqEHH0dj7agz//e9/8cknn9x2zK+//go/Pz8cP34c06ZNq3aMh4cHjh8/bnfszJkz2LlzJ1JSUpCSkoLS0lI8++yzmDt3rsPzb/faVt5//32MGTMGAHDt2jV8//33+O2333Djxg2UlpaidevW6Nu3L+bMmVMnV9fq6NChQ42Pff/994iIiHA4fv36dXz22Wf47bffUFBQAHd3d0RGRuL5559HVFRUvTVYLBY88sgjSE5ORp8+ffD11187jElKSsLnn3+O5ORkGAwGhIaGYvLkyXjssccgk7FVQH2hMStjMBiiYA1yx8TEICQkBHp9pV3n4cOHxZTlwOtl9b9h3UnI29DYMJET2eoz8jQ2ElqrtWJLaHY4IpuZqRyNjQQvTim2BEHwsdCowL5BpKLelUjfx2IiFuIUZkKzlWFiSxCEn1EotgRBcJXRSBZiSItWRLZK/+FLxJYgCMEcjWBglrlUbAnNjoZIckkJR2NPKIun0dKpMQwdOhQhISEOxzMyMvDRRx+hY8eO8POzb883efJkdO/e3e6YWu04Hzt06BASEhLQpk0bdOzYEUlJSTXqaNeuHZYuXepwnOd5vPnmmzCZTOjXr5/t+JYtW5CQkIBBgwbhwQcfhEajwenTp7Fhwwbs3LkTGzduRLt27Wo9/+ro0aMHHn74YYfjAQEBDseOHTuGp59+Gr6+vpg8eTL8/f1x8+ZNnD9/Hrm5uQ16/3Xr1uGff/6p8fEffvgBL7zwArRara2V6tGjR/HWW2/h8uXL+M9//tOg96UMjSs/g8EQBGvPawB21uIhISHIzKysptBqtfD29kZe3p3T0+Ut53NiS2gU0wJGiS1BENLMxWJLEAQPIht9N83SzxBXkwg10OmBHW6iEQjMktMI7DoTqajXEdkAowKFTzPBnCa2BEHgiLTGKTPTSHIDkb6sVCghkhTVmnMSW4Ig0LjaAnpe+q47So7GemyfPlVsCYIQrvYWW8IdT2RkJCIjIx2Of/TRRwBQbSC3S5cuGDt2bK2v/eijj2LWrFlwcXGptcLa29u72tf8/fffUVZWhpEjR8LT89/2OMOHD8ecOXPg7u5uOzZ58mR06dIFb7zxBj7++GOsWLGiVo3VERwcXKfz0+l0iI2NRadOnfDFF19UG8SvLzdu3MCKFSsQGxuLd9991+Fxk8mEt956CyqVCps2bUJwcDCAysK+N954Axs2bMDo0aPRrVu3RmuhBAtgMxiMRlG1F7avry+WL18OwN5a3FqJbQ1w+/v7w9/fH1qt9o6rxm6JXDEVii1BEJQcjWDgFQK9oQHARyH9vk5lRDa/lES2hSgEjgDAnUhgN0dG4xPVWmjcO//mpN/3EQA8OJXYEpqdIKV77YMkgIqIO0K5XPoBFYb0KORp3FOcOBptgMqJzOJ7KhtmyduSoPFJAi5EnL/UROZCTY3ZbMa2bdvg7OyMUaOqL2gqLy8Hx3HQaGq+znt7Nz6B4LvvvgMAPPTQQ3bH77nnnmrHjxw5Em+88QYuXrzYqPc1Go2oqKiAq2vN+4rffvstCgoK8Morr0CtVqOiogIcx0Glavh6auHChQgPD8fUqVOrDWD//fffKCgoQL9+/WzBayvjx4/Hpk2bsHXrVhbAricsgM1gMBpFbb2wrViD1yxgzWDcHiq203km6VucBatcxJYgCGbQqNhNVdDYMlESCWB3MNII7BbROE1cJ5LMd43A9bbCYhRbgiAYLUSS3GQ0Nqej1P5iSxAEGjMhsJCKxCghUJkMACYCv9Bci/Rd3AAgQEZjH0FDpKI+Ojr6to/v37+/Xq/366+/Ijs7GxMnTqw2gPvOO+8gLi4OAODv748xY8Zg7ty5cHJqWtcNnU6Hn3/+GaGhobj33nvr9Jzs7GwAjQue79mzBzt37oTZbIabmxsGDhyI5557DkFBQXbjDh06BBcXF+j1ekyaNAlnz54FAERERGD+/PkYPnx4vd73u+++w59//omtW7fW2MfaYKhMgKvub209lpycXK/3ZbAANoPBaCasVh0sYN38mIn0TJYTCex2UvmILUEQkg05tQ9q4egJbCIAdCqwu1bQOM8sBY3zpPHrBFyJnKiaSE9ECr/OKA2NedDfRp3YEgShtcJNbAmCEAkaPXZPg0ZLpxILjQpslZzG91ZPxBXLmcBcqL2cRruGCyYac4SOCs/aBzEcsFY9T5482e64QqHAwIEDMWDAAAQEBKCgoAA///wzvvjiCxw9ehTffPNNkwaxExMTYTAYMGnSpDq3xrHahk+YMKFB7xkVFYXhw4ejTZs2MBgMOHHiBDZv3ozDhw9jw4YNdn21L1++DIvFglmzZmHw4MGYPXs28vPzsWrVKixYsADvv/8+xowZU6f3zc7OxtKlSzFz5sxqLd2thIWFQS6X4/Tp09Dr9XYV8MeOHQNQ2b+cUT+kf3djMBj1omofaytV+1nXldzcXJw71zJ6S6cVRogtoVG4REjfThKg0yuQSqCeQqW5G5Fp1mVzkdgSBGGzikb1RhmRKpVORGyKL/FlYksQBI7G1xYyAnOhAguNnsk3TTR+m55EAmR/czSqAqmsUyj0EgaAixYaCQnBMhrXoWRjntgSmp1OSho9k3OMNNbXVM7z/P7jTfZaOTk5OHToECIiItC5c2e7x7p3747PP//c7tikSZOwbNkyrF69GuvXr8ecOXOaTMvmzZuhVCrrHIz+7LPPsGfPHgwZMgTjx49v0Htu3brV7t+jRo3CwIEDMWfOHLz77rv46quvbI+VlpbCbDZj1KhR+OCDD2zH+/Tpg9GjR2PZsmUYPXp0nfaaFy1aBK1Wi/nz5992nLu7OyZNmoRNmzZh/vz5WLBgAbRaLX7//Xf897//hUKhcIi5MGqHxs4qg8GoM3q93tbH2kpt9uDVERERgd27dzscj4uLQ2ZmJrKyspCXd2dMsD9vRP+LOwEDTyOjWAEaPqgXiWTb5hukv2FSqqKxwO4jo5E5TaXS/DxHI6hSTKQap7+l5r5gUmITkapACy99C3EVETtJbyWN32a6sVBsCYLQSiX93rMAwBNoY8CQHqkW6beuAoDuSuk7mPxDJHH6fqdQsSUIQg7PAnn1Zdu2bTCbzXj44Yfr/Jy5c+fiq6++wsGDB5ssgH3y5ElcunQJw4YNq5Md+Lp167B8+XL06tULy5Yta9ICpfvvvx+dO3fGsWPHUFFRAbVaDQBQq9UoKytzCLCHhYWha9eu+OOPP3DlyhW0a9cOhYWFMBrt2xh5enpCLpdj9+7dOHDgANauXXvbnuJWFi5cCIVCge+++87mSuvq6oq4uDh88MEHMJtp7EM0JSyAzWAwBMFa2X369Gmo1eo7JngNAE8aWrZF2BEC1TgAICMSPKJhEAr4qKRf/ehEpINeKkejWs4LSrElCIIXWnZSV12hsgl/Wk5jY8iNU4stQRC8uNo3TVo63hyNa9BfxiyxJQhCkIpGkpsXke9tOpHKZFcZjXtKBZHPs6ecxnXoKi99JwgXGY31WBGR3+blinyxJbQoeJ7Hli1boNFoMHbs2Do/z9nZGV5eXigoKGgyLZs3bwaAOgXS165diyVLlqBPnz5YtWpVk/fiBoCgoCAkJyejsLAQfn5+AICAgABcvnwZPj6OyT3WYzdv3gQAPPPMM0hKSrIbs3//fvj6+uLtt99Gv379EBgYiOvXr9uN0ev1uH79OlxcXGyBfJVKhTfeeAPPP/88/vnnH3Ach8jISJjNZixcuBBdunRp6tOXPCyAzWAwBMFa2R0TE4OQkBCcOnUKFosFRUVF4DjOIdNJSFp6BXawXPqBQADIMJeILUEQFEQqj9L0d04SS3NxN5EKbBreCEAqgU0hANAQuQbd5MWbdwiJD5HALhWcCfw+fzfQCOy6K2hY2hqIbMLn8y07IbqutOaaftP5TuQ6T6NiV8HRmMVfIdJOhcIcXmemkZiZRqTSvJ3aS2wJLYrff/8dN27cwNixY+HuXvd94JKSEuTl5SE0tGkq+0tKSvDjjz8iMDAQ9913323HfvHFF/jggw/Qv39/rFy50lYd3dRcu3YNSqUSWq3Wdqxz5864fPkyMjMzERFh3zo0MzMTAGxB55dffhlFRfa/Ox8fH+j1ehQUFODIkSMYNmyYw/ueOnUKw4YNw4gRIxzcbF1dXdG1a1fbv3/66SfwPI/777+/cSdLEBbAZjAYTYJGo0Fqamqt40JCQpCZmQkvLy8kJCRgxowZthvM1atXodfr76jq7JYAlcAulR7YRRYai7LWGukvVmhsCQGhPI0A2VUalyAylcntORexJQhCFmgEVai4tBhgEVtCs9NKTiNAlm6g0TLGSKRaDnI3sRUIQiYRu1cq9xQ1Ebcod47GdegagX0hL5n0nWgAwInIvbOMSJJbU1Fb1bNOp7ML4AKVVdtLly4Fz/MYMmRIk+j4/vvvUV5ejokTJ0Imq3nX67PPPsPy5csxaNAgfPzxx1A1snisuvMDgF27duH8+fMYNGiQ3XuMHz8e27Ztw8aNGzFgwADbnvL58+dx+vRphIWFISQkBAAQFRVV7XvKZDKsWLGi2seeffZZREREYN68eQgICKhV+/Lly+Hp6YlHHnmkTufL+BcWwGYwGE1CfHx8jb2y4+LikJOTYxsH/NtX++uvv7Ybl5mZKXgA+y3nc4K+X1Mz2JdG9paMRkwFPIH+lgCQoZe+XdR4ZbDYEgThMkdjM1NNJCWhkEgVmTuRz1NJpAL7vDFHbAmCUCKXfssGNZFAAxWClR5iSxAEKhbiGUTcaPLNNCp2o5TSTygGgEwLje+tMyf9LX4zkUTbm0QqzakE6puCgoIC7Nu3D2FhYejRo0e1Y2bPng1vb29ERUXB398fBQUF2L9/P5KTk9GzZ0/ExMTYjU9PT0diYiIAIC0tDQDwxx9/4NNPPwUA9OzZEz179nR4n82bN0Mul2PSpEk16k1ISMDy5cvh7e2NoUOH4scff7R73MXFpd4B9VWrVuHkyZO49957ERAQAKPRiJMnT2Lv3r3w8fHBa6+9Zje+V69emDRpErZs2YLHH38c0dHRyMvLwzfffAOFQoH//Oc/tb6nUqnEAw88UOPjXl5eDo/v2rUL27dvR69eveDl5YW0tDRs2bIFpaWlWLVqVbVBeMbtkf7djcFgCE7VgDVQaR/u6+tre0yv1yM5ObnGmy6jflCplqPSG5rKJD5AI/1eZME0HIphUtIIkCmJXINUROwks0Ej47+jicY9hSEd3GU0AoH5ROZ7N4yFYksQBBcVjc+TyrrTVU5jbptspOF8pyQyt+2gkH5QJJVAlTkA+MpptBm5ZroptoQWQ2JiIoxG4217Tg8fPhwHDx7Exo0bUVRUBKVSiXbt2iEuLg4xMTFQKu3nKmlpaQ7VxUePHsXRo0cBAPPnz3cIYJ8/f95W7WztNV0dZ8+eBQDk5eXh1VdfdXg8MDCw3gHs3r1748qVK/j++++h0+nA8zwCAwMxY8YMPPHEE/DyckzKWrx4MSIiIrBlyxYsWbIEarUa3bt3x7x589CpU6d6vX9dadOmDSwWC9atW4eioiJotVr0798fTz31VJPZuFODBbAZDEaTUzVgbUWj0SA2NhY5OTkoLCyEXq+HXC6H2WwWSSWDcWeiJ2KjRKHXdwWNeCeuc9KvCASAeyw0LOuciWzyhZlonKeeyHWISpWnNwHrzDQim9NUWuMYLDTmtRYigV0qVBD53vrKabRTcSHi7PG7Pk1sCc2Ov7KV2BIE4R+D9N3qAKDcQsP5qymYOXMmZs6cedsxc+bMwZw5c+r8mr1798bFixfrpaNjx451es6SJUuwZMmSer12bURHRyM6Orpez5HL5Zg+fTqmT5/epFoA1Ph3iIqKwtq1a5v8/SjDAtgMBqPZsFZb5+TkICEhwXastLQUvXv3xuHDh0VWKA04IlWBDGmRpS8QW0Kzo1YHii1BEKj0wL4oo7HATrfQsM28qaBR2VAKGomCTjxb1koFVyIV2DeI9MCWE0mKotIzmcq6M0RBo6d5roWGTbGSSMKQD4HvLZVrUITKW2wJglDME7GsYzAYjYKt9BkMRrOh1+uxfPlyh97Ybdu2BQC4u7tDr9eD53kYjWzi0lAMPI3NaSrWX0oifVm91dLPni6l8VGSgUoP7K6c9H+bAJAKGs4BNL61wAVDrtgSBMFVJv2EIV8FjYpAlYxtxTAYdyplRNbXVCqTr5mKxJYgCB0V0m/R9Y+ZxmdphEVsCYKgIJKQwKgZvV6P4uLiWsd5enpCLpe+iyOjetiqicFgNDspKSm2IPat1diZmZnQarWsGrsRUOmZTIVSnkaVZ6GxVGwJzY6KRhEZGQtxZ9BYMN3kaGzaUgnsVvA0bG2pVD/KCFSRXSNSmdxK7iS2BEEoNtOo8GRIiwxT7ZvpUkBNJJHGi8j1loKLEpX5e5aJRjsV1n6D8cMPPyAuLq7Wcfv370dQUJAAihh3IjRmKwwGQ3A0Gg1SU1MBABaLBcuXLwdQGbSeMWMGsrKykJeXJ6ZEyWDmaWRnUtmc5okEG7RKV7ElNDtJShrJCFQsxLM5Gv0Q03jpb34BwHCzu9gSBCFTTuOekiK2AIEoMEk/+autyktsCYJwqYKGa4ATEUt4KvBEgg1F5nKxJQhCoNxDbAmCkE/k89QSCNQ7UXENqKDRA9tPRWM9xqiZfv361alftI+PjwBqGHcqLIDNYDCaDI1Gg9jYWFuVtbXquuqNJj4+3pZddacEsNMKI8SW0DhauHyGPVQq6kst0g/uVhCx/qJSge0DGpvwbTgavaFvKGj8PkuJXIcUHA2HBArnmUqkApvBaIlQ6T9LxeI/03BTbAmC0FHtJ7YEQbhkLBBbQrNDIUgPAF2dAsWWIAgpFTliS2CIjK+vL3x9fcWWwbjDoTErYzAYghAfHw8ADj2vQ0JCEBsbe8fahH/ewn1+qVQmcwRsMwFARqOwAaFKD7ElNDvteY3YEgThMkfDHvSChYadpCuRygYKOnWb2QABAABJREFUVswAICcyR/BU0Ei8MBFw3dESmB8AQI5Z+tX0ALMQZ7RMeqsCxJYgCFT6CTsRSP4CaKyvNUQ+Sy/QWI+Z1ayqlsFg1A4LYDMYDMGIioqCVquFTqdDVlYWLBYLSkpKYDCIW4n5lvM5Ud+/scQEjBRbgiBkmGkEj7zlNDbhrxmlX2HVTekmtgRGExIoo/HbpOIcEMy37OS1upJKxCGBQmCXCkoiHS4jFB5iSxCEHBkLYEsJKhbiNyw0EkxoXG2BNDONfsKDZNJvwfEHT2NPSA+z2BIEgUoyH4PBaBwsgM1gMJoNq6W4TqeDVqvFuXOVgWKVSiV60Loq/SYXii2hUTj9Ml5sCYJAwTYTALw4Gv2ECwnYfylp7PGBSIEnikGjB3YRAXt/ADDJaAQ8sy00+j5S6A0NAG5y6Tt7XDDQ6A2ttxjFliAIbdTSD6hQgoqFOJVWBhFEqh89ORpJi+kE1iodeVexJQjCCZ6GvT+V+TuDwWgcLIDNYDCanJSUFJuNeHJyMhQKhS14DeCOCl4DwJFNHmJLaBRTA0aJLUEQ0olUYF800dgwkRPI+d9kThVbgiB0VtHoWaQh8J0FgNYyGs4BpUQqG0yc9AOeAOCiomG1SKH6UcPR2KIwEnG7oFJRTwUK1yAAGKQJFluCIKTyZWJLEIRiXvqBXQBQEmiPI5f+KQIAhls8xJYgCGc10i9qYDAYjYfG6pDBYAiKxWLB8uXLAQCDBg1Cx44dcfr0aSiVShQUFIisTnpQCexS6fVdRmSBnaHPEVtCs+On1ootgdGEUOklrOZpnOd13FnJdM1FN95FbAmCcJKjUcFBoTq5vcpbbAmCoLPQsNY2EQl4MqRFiplG9aOeyLqzo8JTbAmCQMEt6m8Ljb0vV7mH2BIE4YwxT2wJDAajBcAC2AwGo8nx8fnXiio0NBQA0KVLF+h0OshkMhQVFYHneRiNd4Z1nqf+R7ElNIrOIfFiSxAEGnUqAM/T2Oh7wK2D2BKanSL+zrjGNTehPA3b+wyOxud5naMRVLmHSGD3rIyGhTiVe6eJl75zgD8R1wCljEZlcimRuRBDWlBpXeVO5DwpBHYBGonwATJnsSUIwhWexvzdzFPZ5Ws4BQUFeP/993H+/HlkZ2ejrKwMPj4+6Ny5M2bPno2OHTvajTeZTFizZg22bt2K9PR0eHh4IDo6Gs899xy02n8LLHiex/fff49Dhw7h3LlzyM7OhqurK9q2bYtp06ZhyJAh4Kpxdbhw4QI++ugjnDhxAkajEREREZgzZw6GDBniMLakpATr1q3DTz/9hLS0NKhUKgQFBWHChAl4+OGHoVTWz0ErLS0N0dHRNT5+8uRJuLj8u8YfPHgw0tPTaxzft29frF27tk7v3aFDzfuX33//PSIiIuyO1fVzYNQNFsBmMIiiUjVfHyBf33/tZL/++mvb/8fFxUGr1UKn09lZiouNk+VdsSU0CjONPVsoCFhiAYCTjIYNqpFARY47R+OzJBI3ggtobPKVEbHW3mPOEluCILSS0QgG6sw0NvraEahONhOYHwDAKX3NG2pSoq1a+t9ZAPCi0mOXQIAMAPpyHmJLEITzoGEhnmuhMUdQE1irmDkac4QKIuuxcCUNd4TGUFxcjKtXr6Jv375o3bo1nJyckJ6eju3bt+Phhx/GZ599hv79+9vGx8XFYefOnRg0aBAef/xxpKWlYd26dTh58iQ2bdoEZ+fKJBCDwYAXX3wRHTp0wPDhwxEcHAydToetW7di/vz5ePTRR7Fo0SI7LRcuXMCjjz4KlUqFmTNnQqvVYufOnZg3bx7i4+MxYcIE21iTyYTp06fjr7/+wrhx4xATEwODwYC9e/di8eLFOHXqFJYtW9agv8nQoUMxdOhQh+NqtX1hxauvvorSUkeXrp07d+LIkSMYPHhwvd63R48eePjhhx2OBwQEOByr6+fAqBssgM1gEOXWC3ttxMXFQa/X4/Dhw7Zjnp6eNVqC9+jRo1H6hCTd+XDtg+5g7vfpX/sgRoshROEutgRB2Ft0QWwJzc6bzl3EliAIvytoVOwONNAIBGYoafQia62g4RwwQk/DKj2Wo2H3KiOQzFdkqRBbAqMJURGp8MznaVxrqbDNmCq2BEEIUrQSW4IgtCKSYOLDSX9um83TmCO0IpII/4c+Q2wJdzyhoaH49ttvHY4/+uijGDRoEFavXm0LYP/+++/YuXMnBg8ejFWrVtnGduzYEQsWLMCaNWswf/58AIBcLse6detw77332r3ulClTMH78eGzcuBExMTFo37697bG33noL5eXl+N///od77rkHADBp0iQ8/PDDiI+Px7Bhw+Dq6goASEpKwrlz5zBr1iy8/PLLtteIiYnBxIkTsXv3bixatMg2vj506NABY8eOrXVcdVXhFosFK1asgEajqdNrVCU4OLhOz6nP58CoGyyAzWAw6oRer7f1tQb+DWhb0el0yMrKgsViYX2uBYZK7yo1kVuWkYiNkj+B/tBG6ccZSKEkUmruZKHxxfW30LDvNfI0zrOnxjHzXYoE8dLf0CwnUl2120Sjb/s1A411YaTKp/ZBEoDGKgXorPKtfZAEoNIGiApHzdK/3gbJ6x/saonQmL0D3TWtxZbQYvH29oZarUZx8b994RMTEwEAM2fOtBs7fPhwBAYGIjEx0RY4VSgUDsFrAHB2dsbAgQPx9ddf4++//7YFsNPS0vDnn3+iV69etuA1ACiVSkydOhVxcXHYv3+/LcBr1VXVoRWoDJx7e3vj0qVLjXKGNRgMMBqNdpbhdeHIkSNIT0/H2LFj4e5e/+Iho9GIioqK2wbe6/M5MOoGjWgAg8FocuLjHfsux8bGYvny5fWu1habtMKI2gfdwcjb05je0gipAENNNPqyuqilPwXJJxLwDCGy+XWexmmSCdT708j9QrZc+gFPANCDhhPENQLB3XQLjcBuVyJJFxoi2/CFrNe3pHAjslWqJLLCdiWSedFTLn07Zleexnf2d56Gs1AgkZ7mt+vbDAD79++v9TWMRiOKi4thNpuRmZmJNWvWoKysDAMHDrSNSU5OhkwmQ5cuXRye37VrV+zatQuFhYXw8PC47XtlZ2cDALy8vGzHzpw5AwDo1q1bta8NAGfPnrUFsLt16wZnZ2d88cUX8PPzQ5cuXVBRUYEff/wRR44cwYIFCxocwF67di1WrlwJnufh6emJYcOG4dlnn4WnZ+3XwC1btgBAtVbgtbFnzx7s3LkTZrMZbm5uGDhwIJ577jkEBQXZjWuqz4HxLzRmZQwGQ3CswWtr4PpODV4DQJDH32JLaBRtAsLFliAImeYSsSUIwqcWGpZ1kbz0eyLeR8S69xsn6QdUAOCBChoRbBqfJuBpoRHBLpDRWO75gIY9qA7S/97mmmjM98JVbmJLEAQjmbsKDeREAp5UbIpvEOmB3V1Go0VXIYE5Qh6BRD4AcAGNBNTL5iKxJbQYTp48iWnTptn+7ebmhieeeALz5s2zHcvKyoJWq602MOzn52cbc7vA6fnz57Fv3z6Ehoaie/fudq9d9XWq4u/vbzcGAHx8fPDpp59i0aJFiI2NtR1Xq9V45513MHHixNpO2QGZTIZevXohOjoaQUFBKCkpwW+//YZNmzbhyJEj+O677+yC7reSn5+PAwcOICwsrN5tT6OiojB8+HC0adMGBoMBJ06cwObNm3H48GFs2LAB7dq1s41tis+BYQ+NHQ0Gg9GsWCuuT58+jdjYWOTk5ODPP/+sthLbilKphNHIMtWbgnRTce2DJICco1HB4SKjsQmfbZH+hsnvGukH6SuhUfmYo6CxaZslp7ExdE8FjWXQWRp5F/jHQiPoWUqgytNkMYstQRAy+HKxJQiCmYirhwuRfqU8kYSEIiI9zQ08jettqpzG59mWl/4+wh+gsfdFBSp7fHWpsK6NyMhIrF27FgaDAdeuXUNiYiJKS0thMBigUFSua/V6PVq1alXt89VqtW1MTeTk5GD+/PmQyWR4//33oVT+O7cpL6+ct1YXlLW+tnWMFVdXV7Rt2xa9evXCfffdB71ej+3bt+P1118Hx3GYMGFCPf4CQOvWrbF+/Xq7Y+PGjUO3bt2waNEirFixAosXL67x+du2bYPRaGxQ9fXWrVvt/j1q1CgMHDgQc+bMwbvvvouvvvrK9lhjPweGIzR2bhgMRrNi7Y89bNgwm4X4jBn/j70zD2yiTv//O0mTphdtepceXKUUQeSSS1CggChIEcUVEQUFRcWjX9wjHuuxall1l2VdRVe51MIKyO0BLCDiIhQFikDBA0qhJ9CWnmmu+f3RXyKxLW1pO9PO+/P6R5lMkmeaZOYzz/t53s9MmEwmZGZm1vkcIV63HCw3nuq/HavBQNItV+UkOAdw3I/R4M2Rs0WClUOo/4HkA423cXyeP3txXDsHaepOhqiJbCNHp9xZEqt0J4ngGavhsEE9J6m/wxMAriHp2K0kmWrOYvH/A0EHNksRTXcNx6zvCg1HLrMlCAwMxLBhw9z/vv3225GcnIyzZ8/igw8+AAAYjUZYrXUX7FRXV7v3qYvz589j5syZOH/+PP7xj3/guuuu83jcx8cHAOp8fddru/YBgBMnTuCee+7B/fffj6efftq9fdKkSZg2bRpefvlljBw5slG23w0xbdo0vP322/jqq6+uuN/atWthMBjcNueXU1JSUkunCA4Ohk6nq/f1brrpJlx33XXYt28fqqur3eJ0cz4HQd1w3OkLBAJZCAsLA1AzH9vVfR0ZGYkLFy4oHJm6sZMI2IMNkUqHIAsnHBzzjnroTUqH0OoYOHJCNAPqSRqTYSf5PCMdJAdKQqiGo8ztsKT+TvMe8FM6BFmwaX0a3kkFnHdydJicJ7Gclkg66stIRBWWApNqcHye8Rr1Xz9Z5rafJnFpidEIEe9qCQwMxOjRo5GWloZz584hJiYGkZGRyMrKgtVqrdUp7Zpr7bL7/u1j999/P3JycvDPf/4To0ePrrWP63mu17kcl3X45a+9YsUKWK1WjB8/3mNfrVaLm2++GYcPH8aRI0c8Zng3h+joaBw7dqzex9PT05GVlYUJEybUKZo//vjjSE9P99i2Y8eOWvOtf0tMTAwyMjJQUlLitge/2s9BUD9CwBYIBFeNS6QuLCwEAMTFxSElJcXDMjw4ONg9B7utEl05QukQmkVEDEdiaL81v+GdBO2GOJ36q4pJRkMjTuLwKC4n6agvIznOARb1d6kAQDmJNd95Lw7xKECj/tv3AnBYvWba2u69UUsSqBPJaTUxlMAFAgBIdF34kBTbntGp/9oJABeg/k7zChIXiARwuHrEslROtxIuG+rS0ppZ4n369MGpU6eQkZGB66+/3mPfQ4cOIS4urtbc5fz8fNx///3Iy8vD22+/jRtvvLHO97r22mvdr/NbDh8+7LEPALdO4HTWvtDY7XaP/zYXp9OJ7OxshIbWP8Jv9erVAICpU6fW+fgf//hH99/RhatJ70pkZWVBr9fDZPq1QedqPgfBleG4igsEglbBZR2ekpICoKbz+nIGDhzYpoVrFzm+tWd0tyeGhd2gdAiyoCfxY+7kxZEYyrAWKh1Cq9NVH6t0CIIWhOMMBHS3cmRtTxo4boPOk1gH+INj/mwswXzLwyTzLfUkxSXnrMVKhyALQd4cnTT7UNrwTirAjyRVqtVxiEcsXbsOgsqLQmel0iHIQpiOo0D8pI6jGefBZjz3woULdQqz586dw44dOxAQEIBu3boBAJKTk7FhwwYsXbrUQzjdtm0bcnJy8Pjjj3u8Rl5eHu677z6cP38e7777rodF+W+JjY1F//79kZ6ejqNHj6J3794AakTojz76CAEBAR6d2/Hx8fjmm2+wbt069OnTx73dZrNhy5Yt0Ol0HoJ3YyguLvYQil28//77KCoqwowZM+p83qVLl7Bt2zZ06tQJQ4YMqXMf1/E05X23bNmCY8eOYdSoUR6d1k39HAQNw7EqEwgErY6rGzszM1NYhsuMt6b+mRxqQkciH9lJZpENMEQoHUKrM9rKcYP9voHjt3nhCvOP1ESGjuMcZATH51lK0I0DAGUk8y0tBDaoOhKhwV/LkZwuBsdaSEvyveVY8XEIgQCQa1f/WAoAMJE4QXQjsBC3adV/jADQ08Eh15SQ3F83h/feew979+7FjTfe6LazPnXqFDZs2IDKykosWLDAPXt52LBhmDhxIrZs2YK5c+ciKSkJ586dw/LlyxEfH49Zs2a5X7e8vBwzZszA2bNnMXXqVJw/fx4bN270eO/+/fsjNvbXpoznnnsO9957Lx588EHMnDkTJpMJGzduxLFjx/Dqq68iICDAve/999+PjRs3YtWqVcjPz8eIESNQVVWFTZs24eTJk5g1a5bbcruxPP/88ygtLUW/fv3QsWNHlJeXY+/evfjmm28QHx+PefPm1fm8TZs2obq6GnfeeSc0mqav1xYvXoyDBw9iyJAhiIqKgs1mw8GDB7Ft2zaEhYXh2Wef9di/KZ+DoHFwnBEFAkGzMBqNyM7OvuLjeXl5MJlMCAkJQb9+/dxittPpbBdd2O2ZapIZ2HqSREIQyRxPO8HneUTLYf0FcFROx0gcHZ4kDbso0nII9XpwXFNKJA7baaNW/Yk+FnvQDiTrvQ46jlnfkRqOgoRTJL9PhnENABDmVXsOqBoJICm9KCEocutMMjP5vJbjhqzUybF+bw6jRo1CQUEBtm7diqKiItjtdoSHh2PkyJG4//77PbqbAWDBggVISEjAunXr8NJLLyEoKAjJycl46qmn4Of3awFISUkJzp49CwBYs2YN1qxZU+u9U1NTPQTsXr16YdWqVVi4cCGWLFkCm82GhIQEvPXWWxg3bpzHczt27Ii1a9finXfewd69e7Fnzx7o9Xp0794dr7zyCu68884m/y1GjhyJTZs24dNPP0VJSQm8vLwQFxeHxx9/HLNmzfI4vstZs2YN9Ho9pkyZ0uT3BIDBgwfj1KlT2Lx5M4qLiyFJEqKjozFz5kzMmTMHISEhtZ7T2M9B0Dg4VmUCgaBZpKamum3Cgdqzry+3DjebzcjOzkZcXBxCQkKQlpbm3t9lu3H5jGxB8xEd2OrihJ3DatEhqV88us9R22ZIjewXq0lVUanhSJicA8fM5AgSAdtPw1FgwrASYhkZk+vgsEqvIklO50sc1xQWh4QKkgJxq0b992MATzHfeYLz0C9O9R8jAMTo/JUOQRZKHByF8M1h2LBhV7T2/i16vR4PP/wwHn744SvuFxMTg5MnTzY5nsTERLz33nuN2jcmJgavvfZak9+jPu68886rEr43bdrUrPdNSkpCUlJSk57T2M9B0DhEylEgEDSZ386+vpzU1FQPETslJQWFhYVuIfvQoUMICAhAWVnbSdpEV45QOoRmERfHUQmvJxHqe+g5RM9Mm/qdGY7pOSrEWTqwqwlcAwDAX+JITgeRCJ7BEse18/xV2MG1R6wEY0asJMJRT5LOx/2OXKVDkAWeDuwKpUOQBY4rCnCJZPxGOTjyJbEa9TtelJAUoHaVOK4p3XTqHysnEAiajxCwBQJBi+Pq2HZ1ZpvNZgwcOFDhqOonx7d9d4TfFNa+BfjGotNwdOSw0Ftf22ZHbRwBR9cRCx1IhF31y2M1+JJ0eRZoOJK2GhK54ZS9ROkQWp0wHYetXhmJFXMnksJMlg5sjisnSEoWgUCSYr4ekvqFXQDIhfoLEsZp1J9DAICvpBKlQ5AFvcjx0VNRUYHKysoG9wsLC5MhGkFbRQjYAoGg2bgswgEgIyMDXl5eKC8vb9OitZqI9gpQOgRZyHOUKx2CLGRYC5UOQRb6GtRfbTvExmFX9z89Rwd2tI0jnVms4xAC/Z0cCZNCks/zPEnBUCevQKVDaHX6OjmEhgMajk7WoRr1f2cBIIekWCiHpPAimETYLSbpwD6t4SgwcRCUXlzQcjgLaUkqikNI3EsE9bN06VL861//anC/q7E7F6gHIWALBIJG89vZ10aj0W0RHhcXB4vFAkmqWTRbrRyJxLZAtr1U6RBkQVRnqosTBBbigzRRSocgC3EkFmcHvDkyCb+Q2IOGaTgs/n1I+uWckvqTtgAwwOmrdAitTgxJsdARb47f5k8kdq8VJMIuCxckjlxGgIYjJXyRxCGhzKn+ggQNSWFmFck15Yyj7YyWFCjD5MmTMWDAAKXDELRxOFYrAoGgRfjt7OvLLcLz8vJw9OhRAEBwcDCCg4NRVKR+gaotYCCZDa0lsQc1kCQSsi3nlQ6h1dH6cAjY2SRdDd0kDsGzNzhcPXxJLOFPaziS8Cw2qL9o1J+czvLm+G0eqMpROgRZiDZwWIgn6jg6zXOlKqVDkAUrHEqHIAs6cFw7R0gdlA5BFv7jJLiu6PyVjkAWOmg5nNwYii4EVyY2NhaxsbFKhyFo43BkyQUCQaviErKBX7u09+xp33Ol2xNVJIs+FqG+n17MdlELHP26PASSfKCVGg7xqJjEmy9O4kiAnSUR6hl6dn90XFI6BFnoaAhSOgRZ0JFcU86TdHgyWBQDwDgnh+AZauf4PIs50gjoow9VOoRWh2P1Dkyyc5yDjug5ioUEAkHzEAK2QCC4Ki6fe52ZmQmn09luO66jK0coHUKziI7jELAdFGlbYF91rtIhyEK0Xv2dKl9rKpUOQRa6SxzzSs/qOFImPiSdycXgsOarJin+spGIKv5Q/+fJUrAYruW4dn5bdVbpEGQh0BipdAiywHE3BhzXcdxf++g4PtEwJ8d1xUiwRjhqb585x6bS2YujqcFI4rIoEAiahxCwBQJBozAajcjOzvb4f9fc65CQEKSlpXmI2u2pAzvHt/3EWhczO96mdAiy8LOtWOkQZEGv5bg0X3CoX9zt4MXR+chy2znRwtHhuc/AYZV+jZPj96nn0HXxuZZkhh6B6GmROLpxTjtKlQ5BFvQkBQkaktWQQ+K4qISSpEqrNByf50US1x0Gh4RQna/SIcgCRwkN0MnOUUQjEAiaB8eqTCAQNJvU1FSP2ddmsxnZ2dlu4TolJQXFxcUec7Bd2Gw2lJWRJBYVINN6QekQZMGbZDa0v9Zb6RBkgaHzSEtim+nj5DjOH/Qcwm4QR44PpST5kjASe9BwL/VfUwBAIkhOd9UFKB2CLOQ61V/IBwAJxmilQ5AFPUlvcgg4xKMckrEUoSQzsFlcWgIIOrADNBznoB4cpyB8rudYC81ROgCBoJ3DoQYIBIIW57eC9uWYzWZs375dibCuivZuIR4WU6V0CLKg1XKIZMUEnckAh0WoP8kyq5KkeyPKznEOKuT42sLC8XHif94cVunFJPNnh0rqn4m42ZmvdAiyEO8VpHQIsvA/yzmlQ5CFXt4RSocgCwEajmKhO6rUf58CAP5ajmvn9yRFbmd16ncwOeggsRDXcliID3VyFCQIBILmQZKiEggELYnZbMahQ4dQWlqKoUOHwmZr3wY37d1CfHjYcKVDkAW9hqOzoYuX+mdDA4AXQafKQDtHN/0BL4vSIchCN3B0YF8iKUiY6KhQOgRZOO3wUzoEWXhHx1HMt1FS//e2pz644Z1UgI7EcrqzgePz1JJ8niekcqVDkIUcH47O5DKpfedxGotD4mhn7U9Q5DZewyHsfqfjKC4pIfltPqp0AAJBO0cI2AKBoNEYjUa3VXh1dTUGDx7sfiwzMxMXLnBYWbc1Irz8lQ5BFopIOpOPCUt41WDXBykdgiywJOGPGNTf1QDwJOED/DkSQ7EkXuk9vUxKhyALXgS/z92Ws0qHIAuBOo6OwHInx7k20cAhqpBMGUGJk0NUidZydD9Wazi+uaeg/qJilvEbOpIRXb4EOaGWoEePHvU+tnnzZiQkJLj/ffbsWbz33nvYv38/CgoK0KFDB/To0QP33Xcfbrrppjpf48svv0RaWhoyMzNhtVoRERGBAQMGYMGCBe59ioqK8MYbb+DYsWMoKChAZWUlwsLCcN1112H27Nno1atXrde12+1YunQpPv30U+Tk5CAoKAhJSUl46qmnYDI1/96toKAAEyZMQFlZGZ588kk8+mjdpQKNOb6mkJmZiTvvvBN2ux2vv/46kpOTa+1z4sQJ/OMf/8D3338Pm82GhIQEPPTQQxgzZsxVvSc74kwhEAgazeVW4dOnT8fChQvd/05JSYHRaITFYsGePTUdzXq9Hk6nEw4HR9JfKXJtpUqHIAsMltMAh7DLwlwrRyfrewaOG+ykKo7Ps1jLIXgeruboCrRpOH6fFeDowHZK6j8PTfPuqnQIsvA/qUTpEGRhiD5c6RBkoZpkxq6D5Dj1JNdOXwJHLAAId3J01K+yq39kQ6yew62up4ajSSWTxNWjJRg4cCDuuuuuWtujoqLc/3/u3DlMmTIFAHDXXXehc+fOuHjxItauXYuHHnoIr7zyCqZOnerx/JdeegmrVq3CqFGj8OSTT8JoNCIvLw+HDh3y2K+srAynT5/GsGHD0LFjR/j4+CAnJwfr16/HXXfdhXfffRcjRniO5zSbzdi0aRNGjRqFBx98EOfOncOKFStw8OBBfPLJJ/D1bV4R1Ysvvtig3tDY42ssdrsdzz77LAwGA+z2ukd1nThxAtOmTYPBYMCsWbNgMpmwadMmPPbYY0hNTXV/RoLGI7LkAoHgqggPr0lGmM1mWCwWHD58GH379gUAjBgxAocPH0ZZWZmCEfLgJEkkcBwlj1BvldRf2PJfPUd3VReSH2cVibW2nkAgA4BYEsvp6E4lSocgC0dyI5UOQRaKNeqfab7VXqB0CLIQqeOw9z/p5LgfZOkisxCs3wFARyJg90GA0iHIAst4nOGGqIZ3aueUgMP2Phcc7iURGo4RXS1BbGxsnZ2+l7NmzRqUlpbi3XffxahRo9zbp06dihtvvBH/+c9/PATsDRs2YOXKlfjLX/5Spzh+OZ06dcJ//vOfWtunTZuGUaNG4f333/cQsL/99lts2rQJo0ePxuLFi93be/XqhSeeeAJLly7FvHnzGjzu+vjss8+we/du/P73v6+3k7opx9dYli5diqysLMyZMweLFi2qc5+//OUvqKqqwocffohrr70WAHDnnXfirrvuQmpqKsaNGwd/f44ilZaCY5UtEAhanMvtxE0mE+x2O44dO+Z+XIjX8mEkSZjoSGZgx3lxJBIYjNwi7RzJr29JZmCb9Bw32Je0HEm+sGqOYqHyYm+lQ5AFFpEsTKv+81CojsPStpBkNM4FO0d31bXeHEU0OhIrZh+SVOk+qVjpEGQhQstRVNwR6l/zWSSOc1AASY7vhKNE6RDaFTabDdXV1fWKn+XlNWsuV8OZi6CgIBgMBvj4eJ4LFy9ejMTERLe4W15eDl9fX2ib4MgWGhoKb2/vWhrAxo0bAQCzZs3y2H7zzTcjOjoaGzduvGoBu6ioCK+88gruu+8+XHPNNfXu1xLHdzmnT5/Gv/71L/z+97+Hn1/dhajnzp3Dd999h0GDBrnFa6DGoXbGjBkwm83YsWNHg8UIAk84zogCgaDJuDqrXbiE6t9y9OhR9/9XVbXPbqboyhEN79SG6dKJQ2yYgQilQ5CFQ+CYuXaWYH7VNySrLJYZ2Bk6jkr4KBiUDkEW/m7g+DwvlnJ0qkR7qV/YBYBki/ptUJ9DrtIhyEKSMU7pEGThIklhpo1EVInUcAiBNopSW0BL8nlqSO5VfCX1H6cF6neiAYAcO0dhZi8vjpFOSUlJV3x8x44dDb7G1q1bsWnTJjgcDgQEBGDkyJF46qmnEBMT495n+PDh+Pjjj/HCCy/g97//PTp37owLFy7ggw8+gMPh8JgRffr0aWRlZWH69On497//jeXLl+PixYvw9vbGjTfeiD/96U8er+3CZrOhrKwMDocDeXl5WLp0KSorKzFy5EiP/TIyMqDVat1OrZfTr18/bNmyBSUlJQgKCmrw2H/Lq6++Ch8fHzzxxBP44Ycf6tznao+vPiRJwrPPPovExERMnz4dGzZsqHO/I0eOAAD69+9f67F+/foBAH744QchYDcRktSqQCBoCmazGdnZ2YiLi4PFYkFmZiZKS0shSRJsNo5EaHvCRmLlZuFowEZvB4d4ZNWpPzFUSfLb9CWxvS+ROIpL7CTdVRoSe9BoFvGIRGyoJHCjuck7VukQZCFI4rh2OjhOtThPYveaK7XPgvWmMkzqoHQIspCj5RADi0hsp8sJrNLDwVGwGOTFkRPqRjKfPrOZz+/duzduvvlmdO7cGVarFd9//z3WrFmDPXv2YOXKlejWrRsAYNSoUTCbzVi8eDHuu+8+9/OjoqLw8ccfo0+fPu5tv/zyCwDgiy++QHV1NebOnYsuXbpg//79+Pjjj5GRkYGNGzciONizyODgwYMerx0QEIA5c+bgscce89gvPz8fJpMJBkPt73JERIR7n6YK2Lt378aWLVvw/vvvX3GG9tUeX32sXLkSR44cwaeffnrFDu78/HwAvx7j5URGRnrsI2g8QsAWCAS1sFgsiIuLQ3Z2NtLS0pCSkoKFCxfCbDbj0KFDqK6uVpVF+M+LTyodQrO4WdND6RBk4YyOQwz82srReRSuUf/MFwarVyaM4BAbOGRAIFDDkTBhcUgokziS8G9r1Z/wuN+u/hmeAHDKi+NsG0oi1F8kOdeOIBF2O3D8PLFduqR0CLLQQcshBvoyiLsk1toM3fQAz31nYzqsr8Snn37q8e+JEydi5MiReOihh/Daa69hyZIl7sfCwsIQHx+PoUOHIjExEQUFBVi2bBkeeughLF261G25XVFRAaDGjnvJkiUYPnw4AGDs2LHw9/fH4sWLsXz5cvzf//2fx3snJiZi2bJlsFqtyMrKwsaNG1FRUQGr1Qovr19/nxaLBYGBgXUej7e3t3ufplBeXo4///nPmDhxIm688cYr7nu1x1cXubm5+Nvf/oYHHngAPXpcOf/ucqatS7h3HXd7da9VEo4zv0AgaDKpqakwm81ISUnB4cOH3fOuIyMj8eOPP0Kv16umGzv6sRVKh9Asei94TekQZKGHnSMBZjFwzNALIBADu9rV3ykHAHk69Vf7A8BpDcesbxabRRZYEkMsGLTqv3032Ti+tf1IWpPT9KVKhyALfiRFUf/TcHyevXUc7iXXaOoWF9RGGYnttI9T/dcVFmHXm+P2Gt/rhJB3tdx000247rrrsG/fPlRXV8Pb2xurVq3Ciy++iPfff99D4B03bhxuueUW/PnPf8batWsBAEZjTcFLeHi4W9x1cccdd2Dx4sXYt29frfcNDAzEsGHD3P++/fbbkZycjLNnz+KDDz5wbzcajbBa63awq66u9oihsbz++uuwWCx45plnGty3KcfncDhQVFTksY9er3d3h//5z39GaGhorS7zunDNGa/r2F3H/dtZ5IKGUf8dsEAguGpSU1MB1FzsXCf//Px8eHt7q6oD28fZvgXgcgeHqHKtVv0zkwFgjYPjOL0JqqejNUFKhyAL3zqLGt5JBQRpvZUOQRb8SZLwDnBkhlg6sCM0HL/P4VC/e8kXRg4rZjtJeYnFwSEcxWrrt7FUE7kkbhc3WDiO81uj+u/HAKCbk+M4f9Spo8HkSrCMMbjZyeF2cZNNCHnNISYmBhkZGSgpKUFERAQ++OAD+Pn51epODgsLw8CBA7Fr1y5UVlbC19cXUVFR7sd+S3h4OADg0qWGXToCAwMxevRopKWl4dy5c+650pGRkcjKyoLVaq3VjVxQUODep7EcO3YMq1evxiOPPILy8nKUl5d7vNalS5dw5swZhISEwN/fv0nHl5eXV2tO+aBBg/DRRx9h+/bt2LNnD15++WUP6++LFy+6/3vmzBmEh4fDx8fHfUyuuC7H9fymHLegBo6ruEAgaBZhYWGwWCyIioqCyWTyeGzPnj0KRdVy5Pi272OY2fE2pUOQhXXgsP7SOThuyi4RHGelV5DSIchCtMZP6RBkwQCOjvoqcIxriGWwWQRwmiTRF0xQFAUAR3XqF3ctEsc5iKOEBuip4+jwLJTq7jJSG9eBozN5tQ/H52khWSMMAkeBSTnBGp7FKeoSx20nVtqylA5BFma20utmZWVBr9e78/QFBQXQ6/WQJAkajedvxW6vKcxyOGrOEwkJCfDx8alTaM3LywMAhISENCoOlxV4aemvLi19+vTBqVOnkJGRgeuvv95j/0OHDiEuLq5J86/z8vIgSRLeeecdvPPOO7UeX758OZYvX44XX3wR06ZNa9LxhYWFYdmyZR77dOhQU0SSk5MDoKYLuy7++te/4q9//au76/3aa691H+NvOXz4MAC49xE0Ho47fYFA0Cxc1Umujmyz2ey+QPXo0QNpaWnu+dhOp7OW9UZb5/nK3kqH0CxOdSpROgRZmOjkqFI77MWR0uytb9xiuD2j42iuwj7LOaVDkIXrfaKVDkHQgnxhPat0CLLQneBcy8RFSf0CdkcNRzfOJRJL26+qOdYI1xjClQ5BFjKgHhe2KzHGwdH9uJ/Evjef5KaMoQDsAolb3SkvDmehId4dlQ6hzVNcXFyrkQwAtmzZgmPHjmHUqFHuDufu3bvj+PHj+OKLL3Drrbe69z179iy+++47dOnSBQEBNYVoRqMRt9xyC9atW4cvv/wS48ePd++flpYGABg5cqR724ULFxAaGlorjnPnzmHHjh0ICAhAt27d3NuTk5OxYcMGLF261EPA3rZtG3JycvD444836e9w7bXXYtGiRbW2//zzz3jrrbcwYcIEjBs3Dr169Wry8Xl7e3vYol/OqFGj6uyYTk9PR1paGmbMmIGBAwe6Z4vHxsaif//+SE9Px9GjR9G7d43eYLfb8dFHHyEgIACjR49u0rELhIAtEAgagdFoxL59+5CSkgIAKCwsdJ/wXXOyi4uLceHCBfdzgoODUV5eDkmS2vys7Le1bygdQrO4Bq8qHYIsfOut/hsyALC08d9LS+EgmJt8WMNxgx1rqH1DpUay7RxJWydJX2AHLUcHdilJV+AhJ0cSvhPBXFYbyTmoxKn+YgSBoL1SQtL9yOJGw9CZDAABBG40Xb1q2wGrkQJw5IS8SDrqm8PixYtx8OBBDBkyBFFRUbDZbDh48CC2bduGsLAwPPvss+59H3/8cTz22GP4wx/+gPT0dPTs2RP5+flYtWoVqqur8fTTT3u8dkpKCvbu3Yunn34ahw4dQufOnZGeno7PP/8cPXv2xIwZM9z7vvfee9i7dy9uvPFGt034qVOnsGHDBlRWVmLBggXw9v618GLYsGGYOHEitmzZgrlz5yIpKQnnzp3D8uXLER8fj1mzZjXp7xAREeEhQrvYv38/ACA+Pr7W4005vvro1KkTOnXqVGt7ZWVNru/aa6+t9b7PPfcc7r33Xjz44IOYOXMmTCYTNm7ciGPHjuHVV191FxEIGo/6r24CgaBRuLqqCwsL3R3XLlJTUzFu3DgsXLjQvW9KSgoyMjLg5eVVZ8d1e+rCbu8zsAfrOSr+uzo4LllfOznEBi3BzcrR6tp2RWokUs/RpdLFi+M4g8AxA/ukk6MggWUu68+O0oZ3UgHfV+cpHUKrc5N3jNIhyEKiliN51dGb4xx0SeIQGzj6WAEHSSHNJRJhN1TSKR2CLEjqv72GleS32VniGJ9XrGG5qlw9gwcPxqlTp7B582YUFxdDkiRER0dj5syZmDNnjofN9+jRo/Hhhx9iyZIl+PLLL7F69Wr4+/vjuuuuw5w5czBo0CCP1w4PD8fq1auxaNEibNmyBZcuXUJ4eDhmzZqFefPmwcfnV1ekUaNGoaCgAFu3bkVRURHsdjvCw8MxcuRI3H///ejTp0+t2BcsWICEhASsW7cOL730EoKCgpCcnIynnnoKfn6tP4auKcfXkvTq1QurVq3CwoULsWTJEthsNiQkJOCtt97CuHHjWuU91Q6HGiAQCBrEYrFg4cKF7i7r3xIW9mulo8tK3FVJ5LI0cc3DNhgM8Pf3bzci9s+LTyodQrMYz5EvgZZEqA+QOCrhv7PmKx1Cq9PPGKV0CLKQXsVhD+owcCRMKrUc9r3n7eVKhyAL5VqOLs9wXesnQdoCXbzVL3oS5N8BAOFODkElEhzHWanhKP46RGIhfolEVCkl6fLUklxYdARX0NMSh8MZyzgVPcF3trkkJSUhKSmp0ftff/31tWZOX4mIiAi89lrDTV3Dhg2r12a7PvR6PR5++GE8/PDDTXpeUxg8eDBOnqw/p9/Y42sqU6ZMwZQpU+p9PDExEe+9916Lvy8rQsAWCASNIjw8HBMmTKhlB3706NFa+1qt1nYjXgNA/CM9lA6hWdz0pvqTmQCPra1d4kiY9DVEKB1Cq2Ml6VMZ4sPRLcdia8uSSOikD1I6BFkocHAI9QxJW4Cj+7GQxPbei0RROSNx2Pv3AUcRDQssM+q9wOGVHkjSgc1wlGEajtnQoy0cv829Ro77a4FA0DyEgC0QCBqNzWbDtm3bam03m83IzMyExWKB0/lraq09idjtmSz7JaVDkIU5dg4bpQPiyixoZyQ6OVwDcrUcycwKEjvJHhoOsaGvzl/pEGThRw2HSMbAEQKbdADoYIxVOgRZsEgc185jGo6uQIYiGgAIJhmnwlKcmYkKpUOQhRFO9a/58hhUegBfGTnOtixjAgX1U1ZWBovFcsV9dDodgoODZYpI0BYRZwqBQNAojEYjqqvrtqG0WCzo2bMnsrOzkZaW5p6nffr0aXTp0sU9KxsQonZrYHNyJIZOGDgEbLuT42blHEFX4FlrsdIhyEI3YzelQ5CFH0lmJodoOQoS9tgLlQ5BFqqcHPagPQwhDe+kAi44r5zgUQMOEieang6OdW2gjiPl5MMwfBbAIalU6RBkQcfxcZKULPJwQav+goRAEhmjjOTXaeI4TMEVePXVV7F+/for7hMdHY2dO3fKFJGgLcJx5hcIBM0mNTUV06dP99jmEqoLCwvdwnVKSorHvy+vpGqr4vUDaN8i09dak9IhyMIpHcfq1pvF4kyjflssHx1HcpoFP5L5lixWzP5aDgtCo4bjdu8MiRtNR536x8Yk+XRWOgRZOAKO+fQnbG3z/q+l6eQVqHQIsuBFsH4HAD+J4zi9SDqwO5HMEy4n8EgoIZnbznI/9r2BoxnnXqUDaMPMnj0bkyZNuuI+3t4c9+2C+uHIaAgEKsBoNCIlJQUAUFioTNdQeHi4x78tFgsWLlyI8ePHu2PLzMxEaWkpBg4cqESIV8VStG8BuAvJjSfLDGwDidgQpfVVOoRW5yKJnWSWhiMJ31dSvy0fABSTVPxfC45O8190HIm+CpJ5pdUE3cl5kvq7zAHAInGcayucHGuESJK5rKckDivmUI6fJ/I56qYRQFKQcJzAKt1OkhPqqeG47yQwDRA0QHx8POLj45UOQ9DG4ciSCwQqIDU11f3/LrG4rRAZGQkAKC4uRmRkJHr27Ik9e/YoHBUPNpIEWBeS+Tj7nValQ5CFE071d+TEe7Xv4pjGEidxJG0PQ/229wCgI7FB/VnDce20kYylyLdz2NpeZwhveKd2jp5k9mwIScFimY6jICGXpPBigqOD0iHIgjfHpROxJGu+I3qOIrcQqP+e7LzEURTlT/LbFAK2QCBoDBx3TQKBoFVZvnw5gBpL8czMTOTm5sJgMMBq5RDilKaTPkjpEGRBR5JIYOk0H66PUDqEVifGwdHWUExy5xmt4ejY7UAyxiCToEsFAIK1HKMMYg3qd/UAABvBGiGIJEVRQWD1CgDxXkFKhyALlSQFxVu0HOMaRmo5LOFZsBJcOwEgEOpfwwdpSNZ7Esd31pfEKl0gEDQPjrtDgUDQIlxuYw7UtjJPTU11z70uLi7G0aNH3Y9pNBpIJIswuTljK1E6BFnQEsx9BIAgLYdIVkRg95qr5agQP2TJVToEWejuHaZ0CLIQTnIOKnFw/D5LSObs+mk5unaDNeovSCgimW9ZKnEcZxDBdxYAwkg66s+SjBnRctSX4IiOY41QIan/vhMAfAmKbVnkTn9w2N4HcVxSBAJBM+FYZQsEghbhchtz4Fcrc5dofblteHBwMIKDg1FeXg6bzSbE61ZEp+FY3GpIvkLnHRw2xT9WFSgdQqsTqOeoEL/L2E3pEGSBJWHiIDnXVmp9lA5BFgJIRJVSkuQ0Q5enhUQgm2rjKMzcY+AQ6llsbfuB43vLIuwWOquUDkEWQkiKM4sJCsTzSb6z1STr2iH6EKVDEAgE7QCOjIZAIGg1zGYzsrOzERcXhxEjRgAAMjMz4XQ6YbPZ4HQ627x4nePbvud1jwq/UekQZOEXL46EppdT/dZfADDGX/2ip56kcjqbpMMzhGQuq55EqteSHCeLsOsgsWM+Vq3+4q8e3uqf8w0AF3Uc56A8ErHBT8OxRjhOMn6jiMSlxajhuO+0ShxrBL1G/deV7lp/pUOQhW9t6l/vAcAPmlKlQxAIBO0AIWALBIKrxmg0usXrvLw8D8vw9sTzlb2VDqFZxHbroHQIsnCbhaOD44AXRwKMgQqCKngA0JEIgd87ipQOQRZYhF0WsYElOR2i8VY6BFkYaoxROoRWh2UGdp6OQ1AhqS2hwUbygQ7UmZQOQRYynBwzzf1I1kKBBNfPSpJzUF89x+gqP4K57QKBoPmo/+omEAhajdTUVLeNuMlkQu/evWEymdwd2EVF7SPZ/xff9im8uxgeFqR0CLKw3sjRkVNu5aj4Z7BB9SKoggeAOIlDOIrUcczxtKFtu6a0FEESR8IkgCPPhwwSu9fTDvV3qiTqgpQOQRZOOEqUDkEWEnSBSocgCyyuOzkkrh65JO5CUVqOcUcWEtEzkcDJzUJSjMDCTxqL0iG0ed566y3861//uuI+X3/9NSIiInDkyBF88MEHOHHiBC5cuACn04moqCjceOONeOCBBxAREVHn87/99lssW7YMGRkZqKysRGhoKPr06YNXX30V/v41rgfr1q2D2Wy+YhwrV67EgAEDAABnzpzBW2+9hWPHjuH8+fOwWq2IjIzE9ddfjzlz5qBz585N/lscP34cn332Gfbt24dz587BarUiJiYGSUlJeOCBB9ChQ+3mrhMnTuC9995DRkYGzp8/j5CQEPTq1QsPPvgg+vfv3yrvu3v3bvznP//ByZMnUVxcDI1Gg+joaNx8882477776oxTcGWEgC0QCJrF5V3Y+fn5yM3Nhc1mQ1lZmdKhNZroyhFKh9AsRnfjSAz1sHNcsg5qOUSyvRVZSofQ6gz376J0CIIWhEPWBXwkjiR8loYjOV2i5XAvsZHYg9oJir9KJI7vrIEkCZ/lLFc6BFkI1nDM2GWhr9NH6RBk4YCmUukQZMGo4VjbntWqv8Ak08HhGjBUG6x0CLIQBY7cV3MYO3Ys4uLiam3Pzc3FP/7xD/Tq1cstTGdlZaGiogITJkxAWFgYtFotTp48iU8++QRbtmzBunXraonY77//Pt58800MHjwYc+fOhb+/P86fP49Dhw6hqqrKLWBff/31eP3112vFUVVVhRdffBEhISHo06ePe3t+fj4KCgowZswYREREwGAw4PTp01i3bh0+//xzrFq1ComJiU36W7z//vv43//+h6SkJEyZMgUajQb79u3D4sWLsWnTJqxZswYhIb/OVT9y5AimT5+OoKAg3HXXXYiMjERubi5Wr16N6dOn4/3338fw4cNb/H1/+uknAMCUKVMQHh4Om82GH374AYsXL8Znn32GTz/9FL6+HAVkLQWHGiAQCFoMs9kMi8WzSu7ixYs4efKkQhEJTtouKB2CLJzWcFyyWOyYI72DlA6h1fm+KkfpEGShm1H988wB4GeJI8nXgcRamyVhEkBy7cyVODo4enip39b2tKP9FME2h94kneZlUH/RBQBUkHQms6AlqVocInEk0Ms59Gtc0qi/mE9HUoyQLpUoHYIs3G1T/7q2uSQmJtYp9P7jH/8AANx1113ubZMmTcKkSZNq7Xv99dcjJSUFa9aswbx589zb09PT8be//Q1z5851u6vWR2xsLGJjY2ttX7NmDSRJwpQpU6DX/5pHGDx4MAYPHlxr/1tuuQVTp07FihUrkJqaesX3/C333nsvUlNTYTT+WjR4zz334O9//zvee+89LFmyBH/4wx/cj3344YewWq1YsmQJEhIS3NvHjBmDKVOmYPXq1Y0SsJv6vrNnz8bs2bNrvU63bt3w5ptvYtu2bZg8eXKTjp0djoyGQCBoNi7huri4GCaTCXv27FE6JMH/R0diWccylzVBz7GIP1xdoHQIrY6epLtK/amSGnxJPk8rySd6SqpSOgRBC8Iy6zvXqf7v7S2aUKVDkIUvHBwFqBfsHB3YiQaOeaUakvuxKo7ba/wAjuJMbxLRsyPUP9aJ5Rx0tz1I6RBkIUtPUi3UwjgcDqxbtw6+vr6YOHFig/vHxMQAQC2n1MWLF8NkMrlF7YqKCnh7e8PLq/Fy4Zo1a6DRaDB16tRG7R8dHV1nLI3BZU/+W2699Va89957tRrrystr1qDh4Z7jKF1d6D4+jXNbaer71ofr2EtL1T8SqqURArZAQEpYWNNusi0WCxYuXFhru0vYzsjIcF/k2svsaxf7re1bSLtbwzEbWkcyT7i/g8OCMIPg8+zrHal0CLLA0qXiAw6BLFzi6MC2azi+uL+QOAdIJAnNkQhSOoRW538ajqROqZ3DNSBSL+b8qQkHyUAVFmH3RgdHB/ZZL47v7Vmo/7oSqeWw9//KwDHqKMNaqHQIsrAzKemKj+/YsaNJr/f111+joKAAd9xxh9vi+3KqqqpQVVWF6upq/Pzzz/jb3/4GABg5cqTHPunp6RgxYgQ2btyId955Bzk5OfDy8sKgQYPwxz/+sUGL7x9//BEZGRkYMmRInTbnAGC1WlFeXg6bzYbs7Gz3PO/LY2kuBQU1Of3QUM8i2OHDh2PXrl2YP38+nnjiCbeF+KJFixAYGIgHHnigVd7XRUVFBaqrq1FZWYnjx4/jzTffhF6vxw033NCs92VECNgCASm/rUC6WlyWHykpKW6Be8KECbDZbO1GyO5jXKR0CM1ivNdbSocgCzl2DktJJ0cOHv0NEQ3v1M6xkHSysnDSXqJ0CLJwXseRGPInuQ3Kd1QoHYIsdPbiEMmyCeZbdoaf0iHIQmcDx3HurD6rdAiyEGzgKCjm6GMFYkhmmhfqOITdoxJHHqGHpraQpTbOkYyMYTkH3aaPUToEWfgK+S36eqtXrwYA/O53v6vz8Q8++MAtFAM1Hdh//etfMXToUPe2M2fOwG63IyMjA9988w0efPBB9O7dG8ePH8f777+PadOm4dNPP0XXrl2vOg4A2LJlC8xms/vfoaGh+MMf/oA777yzcQfbAHa7HW+//TYA4Pbbb/d4bNq0aSgoKMDHH3/sYbWekJCA1atXo3Pnzq3yvi7+8pe/YP369e5/d+/eHe+88w66deMYwdeScGRuBAJBq+HqwC4sLHT/f1hYGEwmE4qLiwHAw3Jco9FAktrWjdIRy5NKh9As7rZzJEz0JNZfDhIB+6xT/aJKBEmF+GrLL0qHIAsJRo5zrT/JzGSW8pIBXhx2zBUkc3YvSlalQ2h1QjQc8+lPOTmstQWC9kg1ySrhJEmneYyG456M4XvbUaN+m3QAOEXioNQP6i+6AJreYX0lCgsLsXv3biQkJOC6666rc5/JkydjwIABKC8vx7Fjx7Bz506UlJR47OOy1y4qKsLLL7/sFqHHjh2Ljh074rnnnsPbb7/t7t7+LVarFZs3b4bJZMKYMWPqjXf48OFYtmwZqqqq8NNPP+Gzzz5DWVkZ7HZ7k6zK6+Oll15CRkYG7rvvPgwZMsTjMa1Wi4iICCQmJmLMmDHo3LkzsrKysGTJEsyePRsrVqxw23q35Pu6mD17NiZNmoSSkhIcPHgQ3333Xa3PQdA4ODJUAoGg1XBZi6ekpNSyGR84cGCt/duaeK0GdCS2mSzzjk5o1Z+cBoCT5S1bhdoWOW/guCH7nZGjgjSTJMlXLqm/wxMA+iNA6RBk4TA4RDIDSV/gEKf67V73aTnOtSyFmR31gUqHIAsshRc5JGuEA7bzSocgC9fog5UOQRaKJZvSIchCKUGRW5CWQ8COJSm6+JnA9r6lWbduHRwOh0dH8W+JjY1FbGwsAGDcuHFISkrC3XffDavVioceeggAYDTWdPlrtdpaHcSTJ0/GCy+8gH379tX7Hlu3bkVJSQlmzZoFg6H+NVB4eLjbATYpKQkTJkxAcnKyWzhvDqmpqVi9ejUmTpyIP/3pT7Ue/9vf/oZly5Zh/fr1SEhIcG8fPnw4pkyZgtdffx2LFtU4shYVFcHh8CyIrm/0akPv6yI+Ph7x8fEAauZlb926FU888QR0Oh0mTJjQ5ONlRgjYAoGgRTAajcjOznb/22w2Y8SIEQCAw4cPo2/fvu4ubEHL0smLIzGU6xBJeDVxjW9HpUNodSK0HNZfZ8Axo0sUYKmLsxr1J/kAwI/kdq+MJDn9k0794tHP1vYxgqi5GLUcv81yB8caIcjAIaqwEEwyTqVC4nAv6URix/wzQQe2L3RKhyALTnDcdx6xchQLtRSSJGHt2rUwGo1ITk5u9PP69OmDrl274j//+Y9bwI6KigIAdOjQoZYArdfrYTKZcOnSpXpf02UfPnXq1CYdQ2xsLK6//nqsW7cOzz//PPR6fZOe7+KVV17BRx99hEmTJmHBggXQ6TzPDTabDcuXL0fXrl09xGsA6NGjB7p27Yr9+/e7t915553Iycnx2O/kyZNNft8rMW7cOPj5+eE///mPELCbCMddk0AgaHVSU1ORkpLiYSmelpYGAJg5cyYAoHfv3m5r8aNHjyoYrSfvXaFarD1w1lGqdAiyoCMRdm0EN54AEExQPc3xSfLMQwwnSX6VgkMIZIGhGwcAQkgsJSMl9d++x5J07P5ivah0CLKgJXFQYoHFEasDSUd9BdRfFAUA2SRzkxkK4StJRsaE4epEvfZGAEFOqCX59ttvcfbsWSQnJ6NDhw5Neq7FYvEQpENCQhATE4OcnBxUVVXBx+fXwq3q6moUFRW5O6d/y5kzZ5Ceno6BAwde1Txni8UCm82GyspKBAY2bd0vSRJefvllrFy5ElOmTMGrr74Krbb2ua+4uBg2m61WV7ULu93u8dgbb7yB6ur6iy4b+75XwuFwwGazXbEwQFA36r8DFggEsuHqwk5LS4PZbMbMmTORn5+P0tJSSJIEm61tJsWXwqR0CM2ii8Qhk5lIKuFZOE5QbXuNoW7LIbXRWeIQdo+gTOkQZMFA0tkQIGZ9q4p8Z5XSIciCU/25afxoUf/6AAAiSYT6ahJ3hEiSIhoLyVWliKT4qy/JOBWOsgugXKP+32cJSdFFEclxxpO4SbYUa9asAYB67cPPnz9fp+31jh07cPbsWQwfPtxj++2334633noLK1euxIMPPujevmrVKjidTowcOfKKcVyp+7q+WH744QccPHgQXbp0uSrx+oUXXsAnn3yC3/3ud3jppZeg0dR9hg8NDYXJZMLp06fdrrAuDh06hKysLAwbNsy9bcCAAS3yvkD9x75q1SpYrVaPWASNgyNzIxAIZCE1NRVms7nO2deC1oNlhl6Jk6NymuU4+xsilA6h1Rlk50hmfuvF8Z3tDo6Z5iyWdUESh1DvQ7JGOOwsUToEWfiBoPhrkDFa6RBkoZ+DY41w3ItDwM6XOKzSLSSiShiJ687XjgtKhyAL1+iClA5BFoIJXFoqSNa1FpJO8wqJ45rSEhQVFWH79u3o2rVrvTn3hx56CB06dEC/fv3QsWNHVFZWIiMjA1u3bkVQUBD++Mc/euz/wAMPYNu2bXjjjTdw+vRp9OrVC5mZmVizZg2ioqLw+OOP13oPm82G9evXIzAwELfccku98b744osoLCzEkCFDEB0dDavVihMnTmDLli3QaDR44YUXmvw3eP311/HJJ5+gS5cu6N+/PzZt2uTxeGhoKG644QYANbO9H3/8cbz88suYNWsW7r77bnTu3BlZWVn4z3/+A71ejyeffLLF3xcAJk6ciH79+qF3796IiIjApUuXkJ6ejt27dyM6Ohrz5s1r8rGzo/6rm0AgkJXU1FS3kG2xWNqcXXhd/Ly49lyL9sStSFQ6BEELcq1XsNIhyEIVQQfH/0iEXY40AvCzVKF0CLLQU8Mh1B8Ax/iNABILwiASC0KGblaJpIjmoI5jjXDRySHsdtdyXDtPkYgNepKeXT8NxxqhiODaCQABGvUXZ3Z2cnxnd5I4f8VrOVwgWoKNGzfCZrPV230N1HREb9++HWvXrkVJSQl0Oh2io6Nx77334sEHH0REhGcTia+vLz7++GP861//wrZt27BhwwYEBQXhjjvuwBNPPIHQ0NBa77Fr1y5cuHABM2bMgLd3/fdfEyZMwKZNm7B582YUFRVBkiRERUUhOTkZs2bNQteuXZv8N3BpC6dPn64lxgPAoEGDPITk6dOnIyIiAh999BHWrl2LiooKBAUFYcSIEXj00UeRmNi4XHpT3/e+++7D3r17sWrVKpSUlMBgMKBTp0549NFHMXPmzCZ3nguEgC0QCFqYy4VrAG1evAaA+Ed6KB1Cs+i0gKM6U08ik9lIErc5TvWLgUYSi2IW+8GcK9hEqYkCcNhmRpB0V5WQ2KAWs7iXeNVOJKmNbKlS6RBkoQ/JtfM8OH6buSQd2OovP63hlLNc6RBkwUggeAKAjmQN7y2p/zhPaDmuKcEkI7q8SIqFWoJZs2Zh1qxZV9znnnvuwT333NOk1+3QoQOeeeYZPPPMM43af9y4cTh5suEmsFtvvRW33nprk2JpiI8++qjJzxkzZgzGjBkj6/s+9thjeOyxx5r1ngJPODKrAoFANiwWCxYuXAigRsxuDwJ2eyfeq33P8G4suQ6ORIIfyfzZzgSdKixzArPBkbStljg+T44SGqCSxAaVhSG6EKVDkIWv7QVKh9DqhOn8lA5BFn4Ex9z2WC3H58kyM5mjnBgoJ3EOsJAI2H46jq5dI4EYeImkm94qcTSpsIyuEggEzUMI2AKBoEVwdV4XFha6t6WmpgKoEbUBYM+ePYrE1hD7re07GTidJAevI5l3xEIVyVwnBuJIKsRLNRwCdijJbOjvSaz5AkjsQffYCxveSQV08lK/5VwFSXL6kCVH6RBkwVvLcQ4a7R2rdAiykEUyTqULwbkWAPxIUsK5EkfB0C8E+ZKeUH8RPACc03AU0ZSSFH8J6qeiogKVlQ27L4WFhckQjaCtwrFaEQgErY6r8zolJcUtZgNAYWEh4uLi3P9ui7xnMCgdQrPQklhiaQkqigGOymkA0BEcZzcSYZfF9v6kk0Pw/EnpAGQiTMvx+8x1ctgxs3DKVqJ0CK1OuaPt3jO0JNcYI5UOQRYsJF1k+SQW4iyUk8z6vkDyvdUTCLsAEAr1FwxdAEeRW38Hx33KHi3HuVZQP0uXLsW//vWvBvdrjG25QL0IAVsgIKE1q5XMZrO789poNCI7OxtpaWnux/Ly8gAAI0aMAND2OrEftrbvqr9vSczcTDqORXwOiR0zQy/rTxqOJDzHGQiI0fgqHYIssMxMZrF79dVw3O4VOjgKTPx13kqH0OokeHN0WByz5CsdgiwYSTqwAw0c31sNQQEqANhJxsZccnB0JrMU/B8iEAPDtD5KhyALnzjzlA5BFnKripUOQaAwkydPxoABA5QOQ9DG4choCAQChIeHt9prWywW9+unpqYiJSXF/ZjLRvzyruzevXu3qdnY7b0Du6OOw0aJZQZ2tBeHSJZua9/W/Y2hp55jJmuOg8NOkiOVCXTQtu9rYmO5YOf43paRdLMGenEkNGN1HZQOodX5yVakdAiyEEDyna10cBRmsiCRuO5Uk4w6ivDiyCOwfG8vONTvumPQ+ikdgizEeAUoHYIs3KiPUDoEgcLExsYiNpZjDIvg6hECtkAgaBGMRiNSUlJQXFyM/Px8DBs2DNZ20tn8F9+2I6ZfDTeFmZQOQRZYZmBXQP2V0wDgRdC36yBJlkTrOBIJHaH+zkcAuESStO3DkrQludv7ARxFbr4a9c+oj9VzzJ7tSzLH8ztdqdIhCARNJl7LIR6FkSwSsjXtIy/VXHx06v88TSQyhheJa0AeOH6bAoGgeXCc+QUCQatzeae1yWRCcXGxx38zMzNx4cIFhaMUCNo+LN2sDLdkDHO+BeojVFK/QAYAPhLH7/MsgZ0kAHQCh3tJCcHsxx+rzysdgizEGzmKv2wkVsxOkqJFHUEBKgCccFxSOgRZqNZxCPU+JN/bbgTFtukSR1FUiEb9nyUAWEnWCAKBoHkIAVsgELQov7UMz8/PR25uLoqKOOwAlYBlppOWRAzsRmAPCgAOnfoTfTESx9xHjn5d4IDEkcwM1HBYiPfUcNj3MgieAHDRyWGVHqY1Kh1Cq8Oy3vvWXqh0CLJQbFe/pS0AXOsdqXQIsmAlWfX5aTjW8DaSwgs/luuKVKJ0CK1OAMl9SoXEUYD6M8nYGIFA0DyEgC0QCFocs9mM7OxspKWluf+9fft2j310Oh0cjrZxAxxdOULpEJpFQmelIxC0JN/bOBKaF61lSofQ6jxnSFQ6BFn4Ws8hHOlJujdY5j4eA4eo4pA4ktM+Go7bWobxGyz09wpVOgRZ+FGr/vWeQH0kkliIV4Oj+zGIxF0olmA+dL5UpXQIsmAi6cCO9uJo3hAIBM2D405fIBC0CmazGYWFhQgPD/fYbrFYEBcXh5SUFADA6dOnMWLECA8b8bYiXquBaonjb6knqRA3kiThA/Xqt3stJ9EZWGzvWdwRWGxQK0iE+iBwJG1LJI5OcwYb1LHGOKVDkIWDDo6uI5ZOVpZrJ4fcCXRyqP9cCwD7ddVKhyALdg3H79OPYI3AQqzE0WkequVYIwgEgubBkSUXCAStgsViqSVeu3BZiQO/2olHRkaiZ8+e2LNnj1whNor91gKlQ2gWdyFM6RAELYgPySI+hmDm2gfWLKVDkIW+JLaZLCmhYHCcg0pJrPlOOzm6H0O0HJbw5wg6j34mmYFtc3IU0fjoOJLwiQZxP6YmTus4fp/lJGuhcnAcZ5RG/WNGdCR3ZN+TjK5K1Kg/J9RcysvLsWLFCnz55Zc4d+4cDAYDYmJiMGXKFNx1113Q62vu3U+dOoU1a9YgMzMTmZmZKCkpwZ133olXX331iq//5ZdfIi0tDZmZmbBarYiIiMCAAQOwYMECj/169OhR72ts3rwZCQkJ7n/PmDED6enp9e7fqVMnbNu2rTGH7yY9PR1bt27FgQMHkJubCwCIi4vDbbfdhmnTpsFovPL576uvvsLDDz8MAEhLS8PAgQMb9b6FhYVIS0vD8ePHkZmZifPnz2Po0KFYvnx5vc/Zvn07li1bhszMTEiShO7du+P+++/HxIkTG3ewgloIAVsgELQ6v52L3bt3bxw9elThqNQDi62tTsNxnCydKll29d+UsQi7eSQd2OM1IUqHIAuVHGMCEUxyru2g47jdy3OqX9gFgMGaQKVDaHVO46LSIchCtHeQ0iHIQoGdo4iGBY67MSBX4uhM7qFRv+U0AJwFx+d5xqn+e7JgLYe1toHkbPuNrX03E7U2drsd999/P44fP47Jkydj+vTpsFqt2LZtG15++WUcOnQIb775JgDg8OHDWLp0KWJiYtC7d2988803Db7+Sy+9hFWrVmHUqFF48sknYTQakZeXh0OHDtW5/8CBA3HXXXfV2h4VFeXx77lz5+LOO++std+ePXuwefNmjB49ujGH78Gbb76J3NxcjB07Fvfccw9sNht27NiBBQsWYPPmzVi1ahW8ves+P5SXl+OFF16Ar68vKiubNkbs9OnTePfddxEREYFrr70WO3fuvOL+H3zwAd544w3ExsbikUcegY+PD7Zt24b58+cjPz8fs2fPbtL7C2rgyGgIBALFcInWwK+VS2azGQBgMpnaRDd2H+MipUNoFn01CxreSQVowaGqnLWpX9gFgJ4GDjGQgWgdR/LrIok9aC5Jki9BUn+XCgCc03BYa5c4LUqHIAvpOvWvhRK8OTpZj1nylQ5BFowkzkIs9ykakuM0kRS5HSNxaYkicWmpICj4ZxljUE4yGqfKaVU6hDZNeno6jh49igceeAB//OMf3dunT5+OO+64A5999hlefPFF+Pv7Y9SoUUhPT0dgYCDOnTuHpKSkK772hg0bsHLlSvzlL3+pU5Sui9jYWCQnJze43w033FDn9k8++QQAMHXq1Ea93+XMnz8fAwYMgJfXr1LmjBkzMH/+fGzZsgVr167F9OnT63zu66+/Do1Gg7vvvhtLly5t0vv26tULe/fuRUhITf7ySp3oFy9exKJFixAaGop169ahQ4eaEXT33nsv5syZg3/84x8YP348YmJimhSDQAjYAoGghfitUO36t0u0du3jsukIDg5uM13YPs7XlA6hWYQTWDEDwDl7qdIhyAKLhXgk1F897SNxJPn+5+SY42nQqT8pBABBJBbih1CudAiy0FPiKDAJ0XEkpyM16j/OIokjmdnREKR0CLLQTddB6RBk4RKJ2CCRFPN5kQj112g58gjhTo41fIBWp3QIrU4OiTsCS9HFUIP6nYWaQ1lZTZHRb0d36nQ6hIaG4ueff4bBUDOqxWQyNem1Fy9ejMTERLd4XV5eDl9fX2i1Vz5f2mw2VFdXw9/fv0nv98svv+D777/HwIED0a1btyY9FwAGDx5c5/Zbb70VW7ZswcmTJ+t8PD09HatXr8Y777yDY8eONfl9/f39G32sBw8ehNVqRVJSklu8BgCNRoPJkydjz5492LRpEx599NEmx8GOELAFAkGzyMzMREhICMLDw7Fw4UIAQEpKCiwWCxYuXIiUlBQPcXvEiBHIzMzEhQsXlAxbVWQTWDEDPFbpLDgJEmCfVmcpHYIsXG/sqHQIsmAlqfkPJLk9MGk45rKeBkdncqWTY77lV5YzSofQ6nT25nBoYXEvyXU2zaqxvcIyAohjJQRYSI70gO280iHIAkc5AhCvbZqA1R7pqFF/ETwA7LFxuLRY9Rxrvoa6oXfs2FHn9v79+8PX1xf//ve/ERERgb59+6K6uhpffPEFvvnmGzzxxBNuAbspnD59GllZWZg+fTr+/e9/Y/ny5bh48SK8vb1x44034k9/+lOdXcJbt27Fpk2b4HA4EBAQgJEjR+Kpp55qVEfx2rVrAVxd9/WVKCiosaEPDQ2t9ZjFYsFzzz2HcePGYfTo0VclYDcFq7WmCNfHp3YBimtGd0ZGRqvGoFY4MlQCgaDVcDqdtarBLsc1Q6Ot2IXXRY5v24yrsdwYNkLpEGSBZQZ2BYmNUhHULzYketd/blQTcRJHIsGPpKP+nFb9v00AGGLjELDzSe72gkjcS4KM6j/fHqvmmIfYwTtC6RBkgcVam+c4OcghKbwI1HGMU+lAUrQYTOCiVAQOt4t4L/UXIwDARSdHR/3VEhYWhnfeeQcvvvgiUlJS3Nu9vb3x6quv4o477riq1/3ll18AAF988QWqq6sxd+5cdOnSBfv378fHH3+MjIwMbNy4EcHBwe7n9O7dGzfffDM6d+4Mq9WK77//HmvWrMGePXuwcuXKK3ZVW61WrF+/HoGBgbjllluuKua6KC8vxwcffAC9Xo/bbrut1uOLFi1CcXExnn/++RZ7zysRHx8PoKbrW5IkaDS/rg33798PAMjNzZUlFrVBktIQCARKkZqaCqDGPnzEiBFtUsSOrmzfAvCIbhzWX3l2jhldTomj4p8BA02aj4NLWvW7BgBAANRvPwgA/9NzJEziJI6k7VmJQ2yI1fgqHUKr85OWI0XBIngWO6uUDkEWfHQc31uGMQYA0FlSvxAIADkkRYuXCAqnASBEUv8avgAc63cvDcca4VoNx5iRl3dsvurn+vv7o0uXLhg0aBBuuOEGWCwWrF+/Hs8//zw0Gg2mTJnS5NesqKgAABQVFWHJkiUYPnw4AGDs2LHw9/fH4sWLsXz5cvzf//2f+zmffvqpx2tMnDgRI0eOxEMPPYTXXnsNS5Ysqff9/vvf/6K4uBgzZsyAt3fLFOPa7XakpKQgJycHZrMZXbp08Xj8hx9+wIoVK/DCCy8gLCysRd6zIXr06IHhw4fjm2++wZ/+9CfMmjULPj4+2LZtm7sD3eVOK2gaHKtsgUCgGC778OLiYgDCQrw1EBbigvbIzvJflA6h1Rnq11npEGQhW8ORSEiQOLpUaCDpxinWcBRFhYHj92kjGL9R7eToruJITQOlDo5EXUcdR0FxrsRRkBCq4UiV6knORCzjcU4R3JMVODgKFh0kTQ1BXhzFQlfLiRMncM899+D+++/H008/7d4+adIkTJs2DS+//DJGjhzp0SndGFx21uHh4W7x2sUdd9yBxYsXY9++fQ2+zk033YTrrrsO+/btQ3V1db3idEvbh9vtdsyfPx9ff/01Zs+ejZkzZ3o8brPZ8Mwzz6Bfv37uGd9X4vx5z3EaOp2uyX9TFwsXLsQLL7yAjRs3YsOGDQBq7M1fffVVpKSkNHl2uKAGjqu4QCCQFaPRiH379iElJcUtXJtMJuzfvx+SJMFm40hMyQXL4taLxELcm8QGNdI7SOkQWh0dSeU0i4X4MQ1H0jYGHJ/nSalc6RBk4QJJoo9FPCoksLV1SuoX6QHAn0QgG+Hd8FxENXBeUr9wBAASye/zF5I131CH+l09AOAnHUcH9iC7+tfwF3Uc59p4jZ/SIchCN7v6XQOaw4oVK2C1WjF+/HiP7VqtFjfffDMOHz6MI0eOYOTIkU163aioKACoszPZNSL00qXGNUrFxMQgIyMDJSUliIioPR7n7Nmz2Lt3L/r27YsePXo0Kc66sNlsmD9/PrZu3YqHH37Yo0vcRVpaGn766Se88847yM7Odm93HVNhYSHOnDmDjh07Qq/X1xLxo6OjsXPnzquKr0OHDli4cCGef/55nDp1Ct7e3khMTMSZM2cAAF27dr2q12WH465JIBDISmpqKsaNG4eFCxcC+LULOyEhoU3Owq7SPqN0CM1Cp3lF6RBkgUUMDNRydJFdqw1UOoRWh2VGVxZBtT8AWCWH0iHIQpmG4zg5Sr8AHw1HUZQfiRgYrVN/1b7OwFGwyLGqBSpIrHtZiNZyCJ4sBQnf6TgcEqwkBf85OvWLgR1JxhgYSdwHv9RyuEk+fJXPKywsBAA4nbXPYXa73eO/TSEhIQE+Pj4oKCio9VheXh4AICQkpFGvlZWVBb1eD5Op7rnta9euhSRJLdJ9bbVa8dRTT2HHjh2YN28eHn/88Tr3y8nJgSRJeOSRR+p83DVP/PPPP0e3bt2wbNkyj8dbwuY8ODjYo4t79+7dAGq61gVNh+NOXyAQKMrlc7AtFgtGjBiBw4cPo2/fvgCguKDt43xN0fdvLizW2hqSVF8ViXXmCah/pnkHLYdFcTcSa+2vner/zgJApYZDbGCZP2uROD7Pconj2hmiIeiuInHcMZGkYi6QFPOxXFNYhF0dyecpEYylAAAfjfqFXQAoJDnfMpBLMuu7u1b9hZnNIT4+Ht988w3WrVuHPn36uLfbbDZs2bIFOp0O1157bZNf12g04pZbbsG6devw5ZdfenR4p6WlAYBHV3dxcXGdAvWWLVtw7NgxjBo1CgZD7dyXw+HA+vXr4e/vj1tvvbXJcV6O1WrFE088gV27diElJQVz586td9877rgDAwYMqLX9iy++wJdffoknn3wSXbt2dXeMDxs2rFmxNcTZs2fx/vvvo2vXrrW66QWNg+OuSSAQKI7ZbEZ2drb7Yjhz5kzFhWsXPy8+qXQIzWK21/VKhyALuQ4O8ajMaVU6BFnoSNBFxgLLDGyrk0MINBB0bwA8xV8Gks7kcA1HIQ2D2FBo57D3j9LV3amiNqp1HOegMpJO8zCCIhqB+mD5fQZC/cXTleBwivrZXqJ0CLIw1Ctc6RDaNPfffz82btyIVatWIT8/HyNGjEBVVRU2bdqEkydPYtasWW4RtqysDB999JH7/wEgMzMT77zzDgAgMTERo0ePdr92SkoK9u7di6effhqHDh1C586dkZ6ejs8//xw9e/bEjBkz3PsuXrwYBw8exJAhQxAVFQWbzYaDBw9i27ZtCAsLw7PPPltn/Lt370ZBQQHuvvtu+Po2z8Hl6aefxq5du9C/f39ERUVh48aNHo/HxcWhX79+7mNNTEys9Ro//fQTAGDQoEEYOHBgo9/b9Td0kZOT497WsWNHTJ482f3YBx984G7YCwwMxKlTp7BmzRoYDAYsWrSoTqFf0DAcdxMCgUBxLBYL4uLiMHr0aJSWliodjgevPdK+F015f+VI9OlIxAYdSefRvsozSofQ6tzk10XpEAQtSA99cMM7qYBsB8c1pZOOwwaVo4cMyHSUKB2CoIW4wRCldAiysE9S/zxzAOgIDsGTpQO7QOKwnGb5PE/bipUOQRZi9OofXQUAToIiNwuJgO2Q1P9ZAsBJieO+82rp2LEj1q5di3feeQd79+7Fnj17oNfr0b17d7zyyiu488473fteunQJixYt8nj+sWPHcOzYMQDA7bff7iFgh4eHY/Xq1Vi0aBG2bNmCS5cuITw8HLNmzcK8efPg4/OrXf/gwYNx6tQpbN68GcXFxZAkCdHR0Zg5cybmzJlTr9346tWrAQB33XVXs/8WR48eBQAcPHgQBw8erPX47bff7hawW5rf/l2zs7Pd2wYNGuQhYPfo0QO7du3C+++/j4qKCoSHhyM5ORlz586tc+a4oHEIAVsgELQKdZ2YU1NTMXPmTPeFx2AwwGpVvtv0L75HlQ6hWdwYNkLpEGTBi0TYdZDM6HIS3JRxfJJAF4kjOX2BZDb0YB2HUM+Q5AMAk5Pj2vmz0gHIRCddgNIhtDo7LdlKhyALg4zRSocgC+eE4KkqokjcLnKlKqVDkIV+hvZdyN9YAklS3ycJxh0FaznuO320eqVDkAWrxHF/3RxiYmLw2msNj72MiYnByZNNcxeNiIho1GsnJSUhKSmpSa8NAO+++26Tn1MfO3fubPZrPP744/XOzb4STfm7jhgxAiNGcOTo5YTjKi4QCGQnPLzum6Hly5cDqLEUz8vLg8lkcs/TyMzMRHV1tdvuRC6iK9v3xSW+k9IRCFoSX5KbFW9v9Vtn+oLDivk0iYX4eSdHEj5Gy9GZfMLO0XVkJLEQN5DMtywmmD/LIgRWkMynD9JwrGtLJI7ZsyzCroFkDV9K8r3NJ/neBmjUb017wan+dRAABJII9TEan4Z3EggE9HBkNAQCQasRFhYGo9GI7OymdUukpqa6/99sNsNisSAyMhK//PILdDodHA5RiddYOHrIeLCwzNklEBsqSOataUjEBobZswCPPWhnrw5KhyALLL/PUkl5Rx85CCJITkcZOKxeWbCQ+NGwFF6wwFJ4EUAi1GeBQ8Bm+N5WktxfBxOs9wDASDImUFA3ZWVlsFiunHvQ6XQIDuZwiBPUjxCwBQJBswgPD0dqaipSUlJqPeYSpgGgsLCwzue79tmzZ0+rxilo/7CIRwzCLgD469RfVWwnsEkHgO7gsJOs0HAkTPxIOnYvknTUW0is+VjWCCaCayfL3Ee9liNpe7g6X+kQZCHRwDHXkKMcAbCSHGkVSeFFAMnaVkfwefqRyBgs7gidof51raB+Xn31Vaxfv/6K+0RHR7eIfbigfcNx5hcIBFeNS2CuT4C+EhaLBQsXLgSAegXu7OxsxMXFuWdECCG76bDM8WS4IWMiWuundAitjp0k+aXhOAXRVMKXk9jashQLFTs4uo6MJOM3TjtKlQ6h1RmmC1U6BFm4AI7kdKw+SOkQZKEjyWzoLKlC6RBkoVriWMOXkXSzlpG4tHTW+isdQqsTSNBlDvA4YhWSFIgL6mb27NmYNGnSFffx9hZFDgIhYAsEggZwidB1CdBXy+WieElJCXJzc6HX61FUVNRi78GEsKxTF1oNx+fJ0BXoRfJZkujXNGdali4VkiZPDNCLrkA1wdBpflwqUzoEWSghmePJMJMVAHJJxAaWc+018FU6BFko1qj/fgwAzigdgEzESuo/357VcBQjhGk4RDs/YSFOTXx8POLj45UOQ9AO4MhQCQSCRtOYedaXC9Dh4eGNep3MzEy3CF5YWIi0tDSYzWacPHmy5YK/Sqq0zygdQrOwSX9ROgRZ0JDM6FJ/aroGI0H3I4v9IAuBJMtmH4lDqneQWAewuJf8z5qrdAiy0EGn/i7PDlqOpG0QyXGesnIUKI/2jlU6BFk4K3G4emSTiGQsrjssEtl5gm7WMpLvbBhJ8ddFEhcIgUDQPDgycQKBoNHUN8/6chrTlf3b1wkJCXHbiZvNZqSkpLQZu3Af52tKh9As9ARCIMDTmVzp5LCUPGFTf0LzVq8opUOQhV80HF1Hl0hmkbG4ehhJiqKKpEqlQ5CFEB1Ht9w4TYjSIbQ6JzQcncksSXiBunCQFGfGOznEowItx1roPDgKEnwIpPpCJ0cRTSeCgkUAsJBcUwQCQfMQArZAIJCFuLi4NiVaX05778C24xWlQ5AFjaT+GzIAMJLY9/bUBysdQqtzWCpXOgRZCCBZTrIIniyz5VgKEipIjtNfyyE2HID6588yjBgBABvJjN2O+kClQxC0IEOlDkqHIAuFWo7zUAGJsFtGshaKJLCd7kCy3vMmccQKIGnGEQgEzYMj4ygQCBTBaDRi5syZMJlMyMzMhNPpRHBwsJh13cKwdMuxdGBf46V+YRcAspzqF3cjtD5KhyALMZL6kyUAkEkgHAGAjaQSnmVGvS/J7V5HDcf51kEwaORry5VHGamFW4ydlQ5BFk44OWaas8zAPkUyMzkEHGvbSHCIgX4kIlm0Q/0F/5d0HL/N8yTW2hx3nQKBoLlwZDQEAoEipKamuudlG41GdOnSBQDaZBd2e6aLV5DSIchCjoMjAVYFjsRQrNZP6RBaHRZLrHMkdq9+JMtmlqKoIifH99ZK0s2aIV1QOgRZGK2LUDqEVsdI0l1lJShGAHiuKSzHqSewKAZ4nCAuajjOQyUSR6e5Xqf+3yfLufaI/aLSIchCf69QpUMQCATtAI5MnEAgUIzU1FQANXOvt2/frnA0dZPz9v1Kh9Asxtt7KB2CLIR6qV/wBIBjVo4kfA+9+ud4srgGJDo5ZnRlaznsBznKLgADSTdOOIkTBEtyOkej/uO0OUXXkZpI0PorHYIsdCAZdXQIHAXFxSSW04kaDkv4MpJuVoazEEdpCRCg5bi/9qX41goEguYiBGyBQNAquDqvXRQXFyM0NBQXLnCIc3IS7RWgdAiykOdQv+U0AEgkHTlGAvHISpKePqHlsM1kgaW7KkrDkRhiSdpWSRzHmWlX/1rIS6v+9QEADLFyHOcxA8e6lgUdyRrBSXLt1JN0s7KgI/g8GUapAEA1ybq2ABzFQi2J0+nE3XffjYyMDAwdOhTLly93PzZ69Gjk5OTU+9xhw4Zh2bJl7n//6U9/wvr16+vc94EHHsAf//hHj21WqxWffPIJ1q9fj+zsbEiShI4dO2LixIm499574efn2XRkt9uxdOlSfPrpp8jJyUFQUBCSkpLw1FNPwWQyNfnY09PTsXXrVhw4cAC5ubkAgLi4ONx2222YNm0ajEbP+/uNGzdi06ZN+Pnnn1FcXAyj0YiYmBhMmjQJd999d63966OiogLLli3D8ePHkZmZidzcXMTFxV2xSe/EiRN47733kJGRgfPnzyMkJAS9evXCgw8+iP79+zf52NkRArZAIGgRjEYjUlJSALQ/i/D4R9p3B/PoNzkSCRqCGzIAuNYQrnQIssBizcdAjrNS6RBkwUKSSLBLHIUXLImhEJ2v0iHIAktC06BV/+27xcHx2/xUz9HJGgkOF4gskiT8EImjo/6sluM8FEjiHBCh4ZibzFA8HefUKx2CLHxlu6R0CLIwQBesdAjtjhUrVuCnn36q87FnnnkGFRUVtbZv2rQJ33zzDUaPHl3n815//fVa2+Lj42ttS0lJwX//+1+MGzcOd9xxBwDgm2++wd///nfs3r0bK1eu9NjfbDZj06ZNGDVqFB588EGcO3cOK1aswMGDB/HJJ5/A17dp96lvvvkmcnNzMXbsWNxzzz2w2WzYsWMHFixYgM2bN2PVqlXw9v71fH/8+HEEBARg2rRpCAkJgcViwYEDB5CamoodO3ZgxYoV0Gobvg4WFxfjrbfeQkhICHr27ImSkpIr7n/kyBFMnz4dQUFBuOuuuxAZGYnc3FysXr0a06dPx/vvv4/hw4c36djZUf8dsEAgaFWMRiMGDhyodBjU/GwrUjoEWWCxe/3JVqx0CLKQqFf/zUqcxDHH05tg3hoAGEi6jrxIioXUn+LjwkkiYNsYjlPHYWnbTeIQVL51ligdgiz4aThElT2aUqVDkIUpVo7zUC7H1xYXSMaMJDnUP3Ltey+Oz3KB1EnpEGRhu7gjaxJnz57FokWLkJKSgtdee63W42PGjKm1zel0YtGiRTAajUhOTq7zdevbfjlnzpzBf//7X9x888345z//6d4+ffp0zJ07F7t27cJPP/2E7t27AwC+/fZbbNq0CaNHj8bixYvd+/fq1QtPPPEEli5dinnz5jX4vpczf/58DBgwAF5ev8qZM2bMwPz587FlyxasXbsW06dPdz9mNptrvcaMGTPw4osvYtWqVfj+++9x/fXXN/i+4eHh+OqrrxAVFQUA9RYCuPjwww9htVqxZMkSJCQkuLePGTMGU6ZMwerVq4WA3USEgC0QCJqFa8a1yy48MzMTTqcTNpsNZWUcnQVKw5K0DdRxdHB0JJlXGkSwBMkgmRNY5uDoOuqlC1Q6BFnwB0exUIaTo7PhWi1HEv4XicMJopog0SdJHOvakw6OAtQyB8eYkZ7eHA5KLJzSc5yHLmo4HLH8CO47AeC/OvWPGYklcfXY68NRUJxo5ygQbymee+45xMfHY8aMGXUK2HXxzTffICcnB8nJyejQoe77QkmSUFFRAR8fH+h0decCXPn98PDa652IiAgA8LDk3rhxIwBg1qxZHvvefPPNiI6OxsaNG5ssYA8ePLjO7bfeeiu2bNmCkydPNup1oqOjAQClpY0ryjMYDG7xujGUl9eci3/7t3L9nXx8OM5jLQnHVVwgELQqFosFCxcuBFBjKbJw4UKYzWYcOnRIzLyWAT1JZ3KZkyMBFkoiNuy1n1c6hFansxfHZxlJUlxynqR7o1DpAGSCxdXjIEn3YwjJTPMQAhvUfFQpHYKgBXEQFF0I1IeRxI2mjGTWt0RS8M8wcu0gSfHXOG2Y0iHIwgUdx28zKSnpio/v2LGjwddYvXo1vvvuO3z66aeNsr12sXbtWgDAXXfdVe8+AwcORHl5OXQ6HXr37o05c+Zg7NixHvt0794dERERWLNmDRISEjB06FAANSNE161bh6lTpyI2Nta9f0ZGBrRaLfr27Vvr/fr164ctW7agpKQEQUFBjT6W+igoKAAAhIaG1vl4WVkZbDYbysvLcfDgQXzwwQfo0KFDq82iHj58OHbt2oX58+fjiSeecFuIL1q0CIGBgXjggQda5X3VjBCwBQJBi2E2m3H48GH3LOzIyEhERkbCZDK1u7nY7QmWDmwnSUfOGYlDqI/3ClI6hFbn++o8pUOQhf7ekUqHIGhBOmg4bg+sJJbwRpKOeq1G/UlbAPjFoX773hgdx4zdSh2HcFTurFY6BFnQEghHAEiunECmRhTSqAmWDuxIguJMh5YjJ+RDUvt1QsexRmguBQUFeP311zFr1iwkJiY2+nkXL17Ezp070bVr1zpHf4aEhGDGjBno3bs3AgICkJWVhY8//hjz5s3D73//e8yePdu9r7e3N9577z0888wzeP75593btVotnnjiCTzyyCMer52fnw+TyQSDofZYPVcncn5+frMF7PLycnzwwQfQ6/W47bbb6tzn0UcfRXp6uvvf1113HZ577jmYTKZmvXd9TJs2DQUFBfj44489CgcSEhKwevVqdO7cuVXeV81wXMUFAoEsWCwWdOzY0d2NDdSI2tu3b1cwKvUTpOXoOiolSYD5ENx4Ahxzdjsb1D/nGwA6kczxtGg4Eia+kvp/mwBwTsNhfR9EMpc1ROK4dpZq1O8EsbcqW+kQZGGiT1elQ5CFEAPHfYqDpKA4UsPhulNB0pkcDY41fD7Uf+0EgACCosUQTW0xTI38pOO4T7nRxrFGmNmIDusr8eKLL8JkMjXZcnvdunWw2Wz1dl///ve/r7Xt7rvvxu23345//OMfmDBhgod1tp+fHzp16oQuXbq4u8q3bt2Kf/zjH5AkCY8++qh7X4vFgsDAukeweXt7u/dpDna7HSkpKcjJyYHZbEaXLl3q3O+Pf/wjSktLceHCBezduxenTp1qtH341aDVahEREYHExESMGTMGnTt3RlZWFpYsWYLZs2djxYoVbhtzQeMQArZAIGgWZrMZhYW/Go5ePuPBbDbDYrFgxIgRKC4uRn5+vrAUbwWKHRwV4ix2rwMcHImE7wmqbVmq/U9r1P9ZAoCeoOgCACrAMQ/RInEkp4tI+uUOOznWQkkElpIaI8e51koieJaSjN/wIykWypU4zrWjnBxjgCo4lghIlDhEsmKt+tt2R1g5zrXpBo77MY6VUPP47LPPsHPnTixbtsxjxnRjWLt2LQwGA5KTkxv9HD8/P8yaNQsvvvgivvnmG0ydOhVATRf41KlTMWzYMPz973937z9hwgSkpKTgn//8J8aMGYOEhAQANfOwrda614DV1dXufa4Wu92O+fPn4+uvv8bs2bMxc+bMevft3bu3+/8nTZqEpUuXYs6cOUhLS3PbiBcVFcHh8PzdhYVd3X3X3/72Nyxbtgzr1693/z2AGmvxKVOm4PXXX8eiRYuu6rVZ4cisCgSCVsNisXiI1kaj0W0hXlhYiLi4OOTl5bmtOYSA3fJEeHFYLbII9Ud0HIk+hg5sX5KiC5auI5bjZLEQDwFHB8dFEvGog5aj+OssQQc2yamW5ppSRLJ+9/PiEFU6knRgc3yagJ/69U4AQCmJ7XQxgXPAEQPHfUoPB8dx5nMc5lVjtVrxyiuvYPjw4YiOjsaZM2c8HrdYLDhz5gz8/PxqzX9OT09HVlYWJkyYgODgpjkDxsTEAKixIHexZs0alJSUYPz48bX2Hz9+PD7//HMcOHDALdhGRkYiKysLVqu1lo24a2Z1ZOTVjaKz2WyYP38+tm7diocffhj/93//16TnT548GX/961+xevVqt4B95513Iicnx2O/kydPXlVsy5cvR9euXT3EawDo0aMHunbtiv379zf5ddkRpwqBQNCipKamuv/fbDYjMzMTFosFR48eVTAqddNNyyFgHyBJgNlIEponbEVKh9DqdPaq2zJJbXhrONo3SHJ8iJQ40rYUQiB4xlKwFCRIBGuEHhqOdW0+ONxL+ulDG95JBVwgKRZi6cAO0HFcOzvbOdbwIU71F04DQKVO/Sn+KpI7stM69a/3AMBf4jgHXS0WiwVFRUX45ptvMG7cuFqPHzp0COPGjcOtt97qMcoTAFavXg0A7g7qppCVlQUAHqK4y3n1t13Kl2+z238tounTpw9OnTqFjIwMXH/99bXijouLu6r511arFU899RR27NiBefPm4fHHH2/ya7g6wC9duuTe9sYbb7i3N4fi4mLYbLY6/05Azd+ovscE9aP+q5tAIFCM1NRUmM1mHDp0CAEBASgrK1M6JFXyjTVP6RBkwZukK/C47WLDO6mAa/QhSocgaCFiJQ7hKIvEKp3lOFnSJSxdnpkOjjXmBXu50iG0Op30JqVDkIVEbYDSIcjCcWfrzRhsS7BYiEdoOKyYC0hmJmu9ONbwRQSdyQAQQVCEmqfh+CyDSXwgEjhOtVeNj49PvVbTTz75JBISEvDYY495zKkGaoTZbdu2oVOnThgyZEidz6+srIROp3PPo3ZRVFSEDz74AAaDASNGjHBvj4+PBwBs2LABt956q8dz1q9fDwC47rrr3NuSk5OxYcMGLF261EPA3rZtG3Jycq5KeLZarXjiiSewa9cupKSkYO7cufXua7fbUVZW5naDvZwVK1YAAPr16+feNmDAgCbHUxehoaEwmUw4ffo0Dh8+jL59+7ofO3ToELKysjBs2LAWeS8mONQAgUDQqrhswy+fhQ38OgM7JCQEJSUl0Ov1sNlsQsgWCK5AbxJhN8dZqXQIrY5Jw2Fpy0J3kvl5vhx6J37S2pQOQRZ0BOMaAECn4+ja7aRTv+jJUlxy2FGsdAiyUGDnuO9LNKh/Pj0AFEgWpUOQhVscHDOwizkazeFNIgYyfJyhJJ9lnIPh0wTKOQ7zqtHr9XVadrsICQmp8/FNmzahuroad955JzSauu8Fz5w5gwcffBBJSUno1KkTOnTogNOnT2PdunW4dOkSnn/+eURERLj3nzJlCj766CPs3r0b06dPx9ixYwEA27dvx3fffYdx48Z5iLXDhg3DxIkTsWXLFsydOxdJSUk4d+4cli9fjvj4eMyaNavJf4+nn34au3btQv/+/REVFYWNGzd6PB4XF+cWpSsrK3HTTTdhzJgx6N69O0JDQ1FUVISvvvoKBw8exDXXXIN777230e/98ccfo7S0piizrKwMWq0W77zzDgCgQ4cO7tfSarV4/PHH8fLLL2PWrFm4++670blzZ2RlZeE///kP9Ho9nnzyySYfOztCwBYIBM3GZRvumn3tEq5Pnz6NLl264PTp03A4HNBqtbDZOBLGcpJAInj+YudI9GVYzysdgiz0NqjfUrJS4rAGyibp2A0jsSg2kli5OUk6k4NJbvd8SWTPSwRdZFqSoosEHceYkTiS4pIySf2/TQCQJI5rZ6yN4/P0kjjWCCzFfGe91P/7LAPH/XW5lkPZDbOq/zurBGvWrIFer8eUKVPq3Sc0NBTDhw/H999/jy+++AJVVVUICgrCwIEDMXPmzFq23/7+/vjkk0+wePFifPXVV3jzzTeh1WrRuXNn/P73v8fMmTNrvceCBQuQkJCAdevW4aWXXkJQUBCSk5Px1FNPwc/Pr8nH5RpNevDgQRw8eLDW47fffrtbwDYajZg+fTq+++477N27F2VlZTAajejWrRv+8Ic/YPr06TAaG9+gsHTp0lozsl3d8dHR0R5i+PTp0xEREYGPPvoIa9euRUVFBYKCgjBixAg8+uijSExMbPKxs8OxWhEIBLKQmZnp7sSOi4uDxWLBnj17AMDdfd0WyfHdo3QIzWJY2A1KhyAL3iRzPK/RBysdgiwwzPq+ydH0RXl75IAXRzdOqJNDILuo5Zgtx9LB0YFk7uMJLUchjZGgv4plxm6whqMo6qKT47fJYiGuq6eTS23814fjOC+B4/fJwiC7+t2/jFqOa6dFo/5cCQD815vDQ/x3rfCaJ0+erPexTZs2Nfj8sLAwvP766016z+DgYDz77LN49tlnG7W/Xq/Hww8/jIcffrhJ71MfO3fubPS+BoMBf/zjH1vkfZv63gAwZswYjBkzpsXenx0hYAsEApjN5lr231eD0+nEwoULkZKSAovFgi+//BJmsxm7d++GJEnQ6XRwONpexWR05YiGd2rDRMaS3HhyaEc0nUcS1C+Sfa4tUToEWQgDh7X2jyQCWRDJ7cEJkrmsPUjm7LJwXlL/eaijxkfpEGQh0cEheP6oU3/RBcDx2wSARA1HRz2HdCRQG8e91O8cYJI4rinHUKF0CLLQT+K4pggEgubBkaESCARXxGKxIDw8vMH9XNbgLrHbaDQiOzu71n6u7WazGdnZ2Rg8eDCMRiMOHTqE6upqVFdXw+FwtEkxuz2i03AouyzC7ve25heTtAd669VvIX4jgpQOQRYywdGBbSUougA43BEA4Fotx3zLCpLvbaatSOkQZKHKqf5OFavepHQIsuDQcQj1uc5KpUOQBZYO7ONSudIhyAJLIY03SYX4j45LSocgC+M06r+/Pq7luO/sBI5zkL9ICdNTVlYGi+XKv2udTofgYA6nSkHdCAFbIBA0GovF4u6wBmpmX7v+/3Jc2y0WC+Li4pCdnY3w8HB3R3ZeXp57doXBYIDVqmwy7ufF9VuvtAfGahKUDkEW9CRCfaWzbVrttzR6goKEn7XqFxoAIMfBUSHek2ReKUseoQAc51oWq/TrCIqiACDPqX57bQ2JRTHLTFYDyQggFli+tywd9WEa9VtOA0AXHYcbzV5J/e5CgSTr2vPgyCMU6TiuKYL6efXVV7F+/for7hMdHd1kC2+BuhACtkAgaDHCwsLc/+/qwk5LS3N3YrswmUwYMWIEMjMzUV1drbiAHf9ID0Xfv7l0WsDRXeWUOLoCjRqOS3MAwRzPHJLkV7SOY9Y3xxmIB4YiGgA4JXF0P/qSiGShWvWPbPAi+W12d3Ik4Ys0HEl4FqcoiWQ1NMLJIXiG2Tk+z2McOj2ioP750HaSc5BB4rim5Gs4CooF9TN79mxMmjTpivt4e5OcxAX1wpElFwgEsnC5Dfnl3dmpqakwm82YPHky8vLyoNVqYbOJhYpAwMyO6nNKh9Dq9PJueDSDGoiTOG4oijUcvcm+JHaSRSS95hyfJnDeyWEpWepQ/3HeoYtSOgRZOK/lKEANIumWK5XUP3uWiR90HEWoUVr1C54AEOjkEAMvEFxXikgclCI0HL/NAXaO4xTUT3x8POLj45UOQ9DGEQK2QCBoNYxGIwYOHFhru5h93bIM0UcoHYIspJPMhu7kxWFTfM6ufoszB4lrAAsss6HDJQ7J8wJHLpPGvrcDSffjQK8gpUNodXZKJUqHIAtVDiF4qolQLce80iFSB6VDkAWj+nVAAICF49KJfZoypUOQhZ7wVzqEVucXh/pzCAAQrAtROgRZsJOs3wUCQfMQArZAIGgxjEYjUlJSsGfPHvc2vV4vuq1bmW+suUqHIAsGEmvtn2wXlQ5BFkYbopUOodXJJbEQz9ZwHKeRwPYe4Ok0Dya5DYq3c3xvD3px2BRfgPpFz0gNhxDIck1hmSXMQjSJ5fTPHMYBqNRwfJ7XSuoXdgEO2+lrdEFKhyALoU6OgmKBQCBoDByZG4FA0KqYzWZYLHVbGtrt6k+0KY0XSXeVjqQ6UyLp2v3GVqB0CK1OlZNDUOnvHal0CLJQRiAcAcBFiUPAtpAc5zECO0kAuGRTv7U2AIR5+SkdQqvzc/V5pUOQhS4Gju6qs7YSpUOQhURDmNIhyMIaPUcna3eN+s+1TPwIjjVCtEb9Y52O2DmK/TvqOO6vL+g4cl8CgaB5CAFbIBA0G4vFgoULF9babjabkZeXB5PJhMzMTDidThQVFSkQobpxSBzJaS8NRxVqX28OS/hqgu/t0Wr1i/QAkOOoUDoEWfDRkrTjkHDRUal0CIIW5Fo9hxiYL6k/CR/ixdEpN1DDMTKGZAQ2DZEao9IhyEJHJ0eBOItVuknnq3QIssBQBz/Qi6NY6BzJrO/RFo5zrUAgaB5CwBYIBM3CaDQiOzsbwK+d2JdbiAtanyQCK2YA+NqWr3QIshAnqb9yGuCwnXaAIys0WBusdAiykKfh6KgPJVEbjpNU/FskDucAK8n51hvqL+a7X+Io5LvEcQrCDZogpUOQhUKS8Ru/OMuVDkEWojQcayFoORzOvEnOt2UElvAhEofgGe7gOM4cklOtQCBoHkLAFggEzSI1NRVmsxkpKSkoLCxEXFwcRowYIURsGfnKlqd0CLKgJ0jaAkCFhiMJryGwhGex9z9HUIwA8HSanyfpNC9xqr+TFQAkqD+ZCQD5ziqlQ5AFA8F15e+OX5QOQRZ6e3HYg1ZIHF1kfiTFX5Fajhn1eSTdjywWCadJ7lV8of41ggUcxUKnvNSfKwGAIXaO5o3m0qNHj3of27x5MxISEtz/ttvtWLp0KT799FPk5OQgKCgISUlJeOqpp2AymTyee+TIEWzatAmZmZnIzMxERUUFnnzySTz66KN1vtfChQuxf/9+ZGdno7S0FEFBQejWrRvuvfdejB07tllxN4asrCxs3rwZ//vf/3D27FlUVFSgY8eOGDZsGB566CGEh4d77F9YWIi0tDQcP34cmZmZOH/+PIYOHYrly5c36X0B4JNPPsF3332H48eP4/Tp03A4HNi9ezciI+tfz58/fx7vvfcedu3ahYKCAvj5+aF79+54+OGHMWLEiCbHwIwQsAUCQbNJTU0FUNOBnZ2d7RaxMzMzceHCBYWjUz999Rw2SifsxUqHIAv54OjyPFZdqHQIAkGTCNKKG2w1EanjmG8Zp+EQG1iuncEEYoPOO7zhnVTAWDvHOehLL46O3V7gsCg+JHHMwI4kuXaWkxROO0iK+XIl9RfzFTvUf4wAz33KGS+D0iG0GwYOHIi77rqr1vaoqCiPf5vNZmzatAmjRo3Cgw8+iHPnzmHFihU4ePAgPvnkE/j6/rpe2b17N9LS0tC5c2f06tUL6enpV4zh0KFD6N69O8aOHYvAwECUlJTgiy++wLx58/DII4/gqaeeuuq4G8PatWuRlpaGUaNG4ZZbboHRaMThw4excuVKbNq0CatWrUK3bt3c+58+fRrvvvsuIiIicO2112Lnzp1Nfk8X7733HoqLi5GYmIjo6Gi3E219/Pjjj5g5cyZ0Oh2mTJmC2NhYlJeX46effkJ+Poe7aEsiBGyBQNBiuLqxXSK20Wh0VxW15Y7snxefVDqEZjFbul7pEGSBpYvsIklXoI9W/Tcr5Q6Oz5Ij9QX0A8dc1oskNqgVJN/cQhJh18Ew+BHAGah/dvs1Go5z7Tkvju9siEb96z0AyCQQjpg45eQQ6ntoOygdgix0kThmt+dp1O9YF+Cl/kI+Jk6Ja2ejiY2NRXJy8hX3+fbbb7Fp0yaMHj0aixcvdm/v1asXnnjiCSxduhTz5s1zb582bRoeeOAB+Pn5Yf/+/bjvvvuu+PoffvhhrW0zZ87ElClTsHTpUjz66KMwGDzXfY2Ju7HcfPPNeOihh9Chw6/Xrt/97nfo27cv/vznP+Of//wnFi1a5H6sV69e2Lt3L0JCQgBcuSO8IVasWIHo6GhotVr86U9/uqKAbbVa8eSTTyIkJAQff/wxAgMDr/p9BTUIAVsgELQoLhF73759qK6uRkFBAWy2tm3B5TO/fXeCSlEcCTAnSXI6SsvRwZFZqX7r+0A9x2fZhWRu+/fg6CJzSBzC7nUIUDoEWSgjSGYCwCUNx6zvaKj/fGshKVgsIvnO5jjVX3QBAAEkQj3HCoFH2GXhZ3CIZD4EFuJFThI7eA2HXBOmUf+6tiWx2Wyorq6Gv3/dxZ4bN24EAMyaNctj+80334zo6Ghs3LjRQ8AODQ1tdkxeXl6IiIjAyZMnUV1dXUvAbkzcjeXaa6+tc/uECRPw5z//GSdPejan+fv7N/s9XcTGxjZ63y+//BKnTp3C22+/jcDAQFitVjgcDvj4cLi7tAYcZ0SBQCArqampmD59OsLDw7Fw4UKYzWbk5eUhPz+/TVqKR1e279kTN3VreB81oNVwzAE6aStSOgRZ6Ohtanindk4FyQ32GZK5cmEEwhEABBAkvwBgj+Oi0iHIgjdJAiyUxOL/J6lC6RBaHV+SFIWTRKhngeXz5CiJAiIkjvNQHkkhTThJgQnHWYiDaA2Ha4AeHDm+pKSkKz6+Y8eOBl9j69at2LRpExwOBwICAjBy5Eg89dRTiImJce+TkZEBrVaLvn371np+v379sGXLFpSUlCAoKKiph+BBUVGR+79ffvkl9uzZg4EDByIgoHaBeGPibi4FBQUAWkaQbwl2794NADCZTJg5cyb2798Pp9OJ2NhYPPjgg5g2bZrCEbY/OFZlAoFAduLi4tyWGq6ubACIjIyEyWRCRkYGSktLlQxRNfxkJUnCaznsolgSYL31bWNx2ZqkW3KUDkEWOpF0YO91chSXRJPMXAvRciSGDBqOggSWrkAGfEi+sxEE88wB4AepbTtxtRSRJF1kWRJHR30hibDLIh4dcRQrHYIsdNKp312oh1b9xwgAF0lGAPWUREdqY+jduzduvvlmdO7cGVarFd9//z3WrFmDPXv2YOXKle65z/n5+TCZTHV2QUdERLj3aa6APXToUPf/6/V6jBs3Di+88MJVx91cXLbhU6ZMaZHXay6//PILAGDevHno1asX3nzzTVRWVmLJkiV48cUXcenSJcydO1fhKNsXQsAWCAStQmpqKsaPH4+UlBQAQGFhIdLS0mA2m2GxWBAXFwegpiIJADIzM9tkd3Z7gGGWMAB4kdig9vIKVjoEWagmkBv0JEl4lg7sRB3H7CJfkv6qAo6cLYokjgRYgIZDDDQSOCQUSxzXlGASd4RSEjeaQpIOzxgNh9hgktR/rgWA8yRCfTcdhyU8w9KW4y4FuERS/OUExzWlMR3WV+LTTz/1+PfEiRMxcuRIPPTQQ3jttdewZMkSAIDFYql33rK3t7d7n+aybNkyOBwO5Ofn47PPPoPVakVFRYV71nRT424O7777LrZu3YoxY8bg9ttvb/brtQQVFTWOWZ06dcL7778Pzf93Ex0zZgzGjh2LxYsX45577vGY5S24Mhx3TQKBoNkYjUZ3R3VjCQkJwcKFCwEAM2fOREpKihCqW4Hr9WFKhyALB+0c35v9VvXPhgaAvoYIpUNodVhmCceRdGAfkjhcQ6rhUDoEWfAjETxZzkMXpeYnY9oDRoLCqK4aDhcIG4njThCJ2wULeSTnWpDY954lmVFfQSIG9tWpf0RXETg+ywonx3HqGaouWombbroJ1113Hfbt24fq6mp4e3vDaDTCaq27eLm6uqag0Ghs/vVt2LBh7v+fOnUq5s6di3vuuQeff/55g6JsXXFfLStWrMDChQsxaNAgvPnmm26h+GooKyurJe4HBgbW2c3eEK6/8ZQpUzxiMplMSEpKwoYNG3D48GHceOONVx0vG0LAFggEdeLqlC4sLARQ01Ht6qZuLHFxcZg5c2abnX2tFnJIEglOiSPRN9oQrXQIspBL0GHVnAV0eyKbpAM7WuOrdAiywNKBfYCkKCpUx/G9tZMI9QxHedR5SekQZKEriQ1qZy1HQUKinSO1tlNXrnQIsuBDshaa5OBwF9qn57hXOSVVKB1CqxNE4nZR5eRwUDqn53CBaC1iYmKQkZGBkpISREREIDIyEllZWbBarbWEV9ec6MjIyBaPY/Lkydi1axf++9//NsrG+7dxXw3Lli3DggULMHToUCxevBg+Ps3r5n/11Vexfv16j20ffvghBg8e3OTXioyMxI8//oiwsNrNZq5tly5x3O+0FByrbIFA0GQsFgsWLlzYZNH6ci6ffd2zZ08AwJ49e1okPsGvZNs5Lnx6kkSClsL8C+hIMCvwmNIByATLDOxTGo5ioQBwfJ4mHYdlXTBJos+qYZB2OSwlfUmstSMkjuO8RPLb3KPj6GSNIFi/A0CsQ/1uFwCQqedw3WHJIzA4mARIHJ9lR33Li4xtkXIS56/WIisrC3q93j2as0+fPjh16hQyMjJw/fXXe+x76NAhxMXFNXv+dV24OpdLSxvnWPfbuJvKv//9b/ztb3/DiBEj8Pbbbzeri9vF7NmzMWnSJI9tiYmJV/Va1113Hb7++mvk5dV213RtCw0NvarXZoXjrkkgELQKri5tF+1VnP558UmlQ2gWY5GgdAiyoCXpZv2v9ZzSIcgCg4X4NYZwpUOQBQ5vBMBG4gLxM9TfvQEA8QRJPoCjGwfgcUiwE5xx85wc39lKnb/SIciCiURssJEUC9kofCCAH3XqLxYCgCKCoigACCP5ffoSnG9NTo6c0GZcVDoEWehI4hTVHIqLi+sUerds2YJjx45h1KhR7m7r5ORkbNiwAUuXLvUQsLdt24acnBw8/vjjVx3HpUuX4OPjU6uz22q1YtWqVQCAvn37XlXcTeHdd9/FwoULMWrUKPzzn/+8qteoi/j4eMTHx7fIa02aNAmLFy/GmjVrMHXqVOj1NaPLCgoKsGPHDgQFBXn8rQQNIwRsgUBw1bi6tF2YzWbk5eW5L1KFhYWIi4uDxWJp07OvfeYXKh1Cs9CF9VA6BFnQkHQmsxxnMMES5LxG/UIDABoFO5Kk64hlLmtXku4qC0mnuYPke+tLMAM7SVvbbk+NHJM4OnZZhKOLEofdqwUcdq+xJEVRLAUJZSTf2wtQ/3nISbKuDZD0SocgC7/YSpQOoc2zePFiHDx4EEOGDEFUVBRsNhsOHjyIbdu2ISwsDM8++6x732HDhmHixInYsmUL5s6di6SkJJw7dw7Lly9HfHw8Zs2a5fHaOTk52LhxIwDg3LmaRpoDBw7gnXfeAQBcf/31biH8wIEDeP755zFu3Dh06tQJ/v7+yM3NxebNm3Hu3Dn87ne/8xBlmxJ3Y0lLS8PChQsRGhqKsWPH4osvvvB43M/PD2PGjPHY5jqWy4/Zta1jx46YPHlyo957586dOHHiBADg5MmaJrgPP/wQ/v41BakzZsxAQEDNeKC4uDg89thjWLRoEe655x5MnDgRVVVVWLlyJSwWC1566aVmW56zof7ssUAgaHGMRiNSUlLc87FdWCwWREVFYfv27e5trhN7W+b5yt5Kh9AsdJ3VX2kL8Fhrd9FfnY1Oe2OvrX0XjjSGaokjWaI1cIgNlRKHxVmeg2O+5XmS7kcLyfe2wsnRRabXqH/NV6bhuHay2PtnkXTU+2k4xAYWWIr5TtmKlA5BFvy1HEWonb06KB1Cq5Ph5Bif93P1eaVDkIXBPrFKh9DmGTx4ME6dOoXNmzejuLgYkiQhOjoaM2fOxJw5cxASEuKx/4IFC5CQkIB169bhpZdeQlBQEJKTk/HUU0/Bz8/TgezcuXNYtGiRx7a9e/di7969AIB58+a5BeyEhAQkJSXhu+++w2effYbKykoEBgbimmuuwfz583Hrrbc2K+7G8MMPPwAALly4gGeeeabW49HR0bUE7N8eX3Z2tnvboEGDGi1gb9u2rdaM7CVLlrj/f9KkSW4BGwAeffRRREdH48MPP8Tf//53aLVa9O7dG6mpqbjhhhsa9Z6CXxECtkAgaDKpqakA4J6P7bISd3VcjxgxAsCvliFt3Vr8mcXtW0i7DRyzMzQkFuIXHBwdOYE6o9IhtDpdtRwCWSXJ7CoWYddKIngWOjnOtQ6Jo7uKJTltJOjADiIRAgOh/s8SAHJJ1u8ssDhF+ZLMTI7XBysdgiyUkVilMxTbhms5uhZjfTorHYIs7KvOVTqENk9SUhKSkpIavb9er8fDDz+Mhx9+uMF9Bw8e3Oims7i4OLzyyiuNjqOpcTeGBQsWYMGCBU16Tks11V3NeycnJyM5OblF3p8dIWALBIKr5vJO7LS0NLeFOACYTCbk5+fj6NGjCkfZMPGPtG8L7t/9jePG83sbRxUqR70/4A/1dx5dIrGrKyQpuuhAIpB1IOkKLCGxe9VrOZLwxY4qpUOQhUsEBQmDdQEN76QCOORrYIyk/o5AALio5VjB52k4hMAAglnCADBE4ii2PaHlWPMxjOj6UeJw9QglGV11l6GT0iEIBIJ2gPqvbgKBoNX4bSe269+ujuyePXsCqOnEbg9Cdntln61A6RBkQU9SCc/R1wAUEYgNASRCYLTOr+GdVEAIOLoCvUjOQlUkBSbqlztrCCGZiVhoV3/idq+mVOkQZKEzyYzdi+AQPG0ExSUAEExQgAqAxFsI2ORs3050jcWHZA1v1Kq/AEwiKff3Icl9nSMpihLUj8ViQVlZWYP7BQcHQ6djKf8U/BYhYAsEgmZjNBoxcOBApcMQCFSBjmC+JQCUOSxKh9Dq/FCdr3QIsnCHdxelQ5CFAxLHzLVKJ0eXir+WIwnPIakAJQRFUQBQRfD7HIQopUOQhSASheysjmNd293OcZxbvDgKTAwkBSYDvJo+g7Q9kulsWBxRA+ck9a+FBoHD1eME1J8rAYDrnOofKye4Mp9//jnMZnOD++3YsQMxMTEyRCRoiwgBWyAQNJvU1FR397ULVxe26L5ufbp5mZQOQRZyHBw3nixc763+BPUR2wWlQ5CFbE210iHIgi/JsjnUi8Oy7izJTPNqJ0eneRBJB3aMl/q7qzqQVF0Uc+id8JY4XD22eanfHYGJYhLngAtOjjV8KMkYIB2BixKLsFslcazft6JI6RBk4UmlA2jDDB8+HMuWLWtwv7CwMBmiEbRVODJxAoGgxXAJ0wCwZ88ehaNpGX5efFLpEJrFeHv7nuHdWFg6k/1JbrDPOtWf6IvXcxSXkGgNyLNzFNEYtRw2i34akuPUcRxnOUFnMgCUESRud+k47EF7gWP2bIbE0bHLck252cHR/XjSi8Mi4TzBNQUACpzq70wGgGu0gUqH0OpYSO48hzo4OpO36jjWCIL6CQ8PR3h4uNJhCNo4QsAWCARNwmKxYOHChbW2t+eO6/hH2rcAfMObHAkwi8SRSLCTHGeMTv3f2wqSyul8J0fyi0XY9dZw3B4Uk1hOm0g6kyN0fkqHIAt+BL9Plmtnnoaj6CKrmqO7qqc3R/L1CxKx4TYbh1DfU8NRbHvai0P0ZMgicFw5gb1eHPcpU6vV7ywkEAiaj/rvgAUCgSxcyUIcAEwmU5vt2K7SPqN0CM3irO0vSocgC4MNkUqHIAtWkqpiO9TfYaUlsHEDAA5vBKCDlqMSPoBAIAOACw71u0AAgJWkKCqIxL3Eh+CMe4rkt1lF8p0daYxVOgRZSLRzXDtZuuXOeKn/PgUAzpGMATIQXDsBju7ka0hmJleR3I+dNCgdgUAgaA9wnBEFAoEsXG4vXlhYiLS0NAwcOND9eHBwMC5dugSHo20lU32crykdQrOI8FJ/JysAHLKdVzoEWYjzUr/1FwB01qj/5jPGyZGc3giOCnEbQVIIACpJBE+WAhMjSQKsi6T+awrAITYE6jg+S4ZZpQBwyH5B6RBkoUDH0UXWUcPh6sFQaAvwOF74ajjuyQIJUvzbpYtKhyALN2qClQ5BFjjurgUCQXNR/9VNIBC0KnWJ1q7tl4vXAFBU1DYt5Nr9DGxH+7ZAbywsM7BzHBxzdnOg/uOM8+KwH6TwqwNgIUnyOUhSCVEkxV8sc1krSb63DLAIZH4kHYHBXhztVWUka4R8iaNosVLD8b3tCY7xGzqOegQcgfodTGJJRsYUgOOakuDguE8RCATNQwjYAoGg0RiNRmRnZ3tsu3wmdkpKCsxmM7Zv3+5+PDg4GOXl5ZAkCU6ns811XwPtfwZ2dKpN6RBkwQiOxa1Ow9GRM9RL/bMCv7ScUToEWbCRdOx29w5TOgRZ0JCcg4wkt0EsXZ5HnZeUDkEWyh3q78C+2YtjZMwvBN30AHDIkqd0CLLAMgObhRhwdOymSyVKhyALLMV8EQSd5t1JBM98HUdhZqSdpLpEIBA0C47MjUBASGFhYYu/ZmpqKlJSUup93Gg0eojXQNvtur6c9j4DG3hJ6QBkwUli5dZZx2EhzvB59jFyJOG/r8pROgRZ8CdJfpVKVqVDkIVKDUdnw0UHR5FbpM5X6RBkoaNW/cdZSbA+AIAEEtt7b2O00iHIwiWJ5FxL4pAQ5uAo/rpGR+IWRUKEU6d0CK1ONcdPEwXguB87blB/0YVAIGg+QsAWCFTK+fOtMy84MzPTQ8S+XChPTU1Famqqx/5msxl5eXkwmUzYs2dPq8TUXNr7DGwDyXxLPYmFeBeSxFBaeabSIbQ6Jj2HxVmswaR0CLJQRWLlxjKu4efq1lkntTXiDBwz9E7bOTqwbyBwL8mUypUOQRYu2NVv9QoA5U6OTvNrDOr/bQI8FuJBOvULgQBwnkQk05C40RRo1f95ZttLlQ5BFiYhQukQZKFMw1G02JI4nU7cfffdyMjIwNChQ7F8+XL3Yzt37sSOHTtw+PBh5ObmwtvbG506dcLUqVMxefJkeHnVzh2vWbMGq1atwi+//AKdTodevXrh4YcfxvDhw2vt++9//xvHjx/H8ePHkZ2dDa1Wi+PHj9cZZ3p6OrZu3YoDBw4gNzcXABAXF4fbbrsN06ZNg9HY9EJO19jS48ePIzMzE+fPn6/1N7ict956C//617/qfOzmm2/GP//5z0a9b0VFBZYtW+Z+39zcXMTFxdVq4LucqqoqvP322/j8889RWFiI8PBwTJgwAY8++ih8fDhyvi0Jh+ohEAhaDKfT6bYMB+AhZv/WPry90N47sPWa1IZ3UgEsN56d7BzHOdSvs9IhtDoGEiEwveqc0iHIwgAfji4yh8SRSOhBYveqJbl29vcKUjoEWTgH9YuBLLb3cV4cjjsVJJ3JLFyHAKVDkAULiROEERxCvQ847slMkvo/zz5aDuHHi+MUhF+0FqVDaHesWLECP/30U52PPf/88/Dx8cGYMWPQrVs3lJWV4bPPPsOzzz6Lbdu24b333vMYF/bSSy9h5cqVuOaaa/DUU08BADZt2oTZs2fj73//O2699VaP1//b3/6GDh06oGfPnqisrLyi4+qbb76J3NxcjB07Fvfccw9sNht27NiBBQsWYPPmzVi1ahW8vZvWgX/69Gm8++67iIiIwLXXXoudO3c26nlmsxkmk2fTRXR043M7xcXFeOuttxASEoKePXuipKTkivs7HA489NBDSE9PR3JyMq6//nqcOHECS5YswZEjR7Bs2TJotRzXpZZCCNgCgaBZXN6RXVhYiO+++w7Ar53XR48eVTK8RtHeO7CrJY75OHqSG8+v9RydDd+WZykdQqsz3L+L0iHIwkifTkqHIAslJEn4MI1B6RBk4ZSTo8vTSjKj/mcth+h5u1X9FuIZ3hznoJ+kSqVDkIUztmKlQ5AFlg7sDJQpHYIsRIJDJKsExxqBxeI/DOp3/9omXVQ6BFlgGY3TCRzjVFqKs2fPYtGiRUhJScFrr9XOY7/55psYMmSIh0h9//33Y8aMGdi9eze+/vpr3HTTTQCAEydOYOXKlUhISMDq1auh19eMS7v33nsxZcoUvPTSS7jxxhvh7+/vfq3t27cjLi4OADBjxowrCtjz58/HgAEDPLq+Z8yYgfnz52PLli1Yu3Ytpk+f3qTj79WrF/bu3YuQkBAAQI8ePRr1vDFjxiAmJqZJ73U54eHh+OqrrxAVFQUAGD169BX3X79+PdLT0zFjxgw899xz7u3R0dH461//ik2bNmHy5MlXHQ8jQsAWCARNIiwszOPfl3dkz5w50y1mZ2ZmwulsH8LqfmuB0iE0i3tI7IVYbG1jwDEHaBhBB/ax6sKGd1IBFidHUshHxyGqFJIkTM5W13/DrSaCSEYZsKwRinTq/zxPSBwCWQmJtfZN3lefMGxPnJfUb93LRAXJ2Jh4iUM8OqXh6PLMgfrvyWIJ1kEAUCFxnIOOkhRFtRTPPfcc4uPjMWPGjDoF7KFDh9baptPpMH78eHz//fc4efKkW8Det28fAOC2225zi9cAoNfrMXHiRPz973/Hjh07kJyc7H7MJV43hsGDB9e5/dZbb8WWLVtw8uTJRr+WC39/fw9BvSmUl5fD29vb41gbi8FgcIvXjWHjxo0AgFmzZnlsv+eee7Bo0SJs2LBBCNhNRAjYAoGgSYSHe1aXXy5oR0VFwWKpuTmIjIz0mHsdEBAAvV5/xQotpRhsaN8C8GgSC8IcB8fi9gLBjScAGDUEFmfe7fvc0lhYLMRj9UFKhyALLG4XPkaObrlwEqvF6xwcxV/lBD/PbBvHPPPehrCGd1IBWU6OWd/dtFeXUG1vZJGIKh1JCor3SyVKhyALURqO4kwjwRreSWLvbyH4LAGgq4bjPiUpKemKj+/YsaPB11i9ejW+++47fPrpp022ny4oqGnacnUuA4DVWlN4V9csate2jIwMDwG7JXDFEhoa2qKveyWSk5NRXl4OjUaDhIQEzJgxA1OnTm2V95IkCT/88APCw8Nr2ZQbjUb07NkTP/zwQ6u8t5oRArZAIGgWcXFxSElJcQvV9VFW1nbFx/begf0MOARsFk7aOawWu3uZGt6pnTPUztHVkK50ADJR5OCwew3UcnxvjRqO2yA72ocbTnP5XNP2CiRbg3it+ufP9tCHNLyTCrjo5OgILCXpNM/XNL2jpz3SkURsKCOx1k7UdlA6BFkoIikQtxKs+SpIfpujHBxFF1/q2m6euC1RUFCA119/HbNmzUJiYmKTnpufn49PPvkEgYGBHkJ6fHw8gJpO7Pvuu8/jOfv37wcA5ObmNjNyT8rLy/HBBx9Ar9fjtttua9HXrouAgADccccdGDBgAEwmE3JycvDJJ5/gueeew/Hjx/HCCy+0+HuWlJSgqqoK3bt3r/PxiIgIHDp0COXl5VfdTc4IR+ZGIBC0GEajEePHj4fT6WyT3dRXQ3vvwO5EIniydAVy1BQD/Qi65ZY4OTqTh/hw2IN2I7FZLNFwJIYsJGdbb3DMhu6q4fh9flL1i9IhtDpaDcd3dpKxi9IhyMLntmylQ5CFKB1HEvKcVKV0CLIQplH/fQoAnCFxSIgkcaNhmGleSeICsUvHUTh9o1P9hZkA8PiOjc16/osvvgiTyYR58+Y16XkVFRV49NFHUV5ejrfeegtBQUHux2688UYkJCRgx44deP3113HHHXcAANatW4evv/4aANwOqy2B3W5HSkoKcnJyYDab0aVL66+DZ86cWWvbtGnTMGPGDKxcuRLJycno27dvi76n629mMNQ9fs7bu2Z9UVVVJQTsJiAEbIFAUAuj0Yjs7LqTDampqUhJSXHPvQYAs9nsPkm7OrFdcyVstrZf7XpbxJdKh9AsTvrconQIsqAhScJf6xWsdAiyoFX//TXsEsFBAugkcST5jqBc6RBkwQSOWd+ZJMVfQSQd9ckODjeaRALr+1+qLyodgiycJ+kI7KRXv+MOAGhJ7lMiSYqFSiSO3yeL9b0vSSF8JUEHdjdwnIO2OvKVDkEWYr04Ps/m8Nlnn2Hnzp1YtmxZnXbf9VFRUYGHHnoIx48fx/PPP4+xY8d6PO7l5YX3338fzzzzDJYsWYIlS5YAqHFZffHFF/Hss8+2mMBqt9sxf/58fP3115g9e3adwrJceHl54ZFHHsGcOXOwa9cut4BdVFQEh8Mzf3f5yNTG4vqMXBbtv6W6usaZyMeHo7CqpRACtkAgqIVLpG4sFosFRqMRFosFvXv3Rn5+frvq0N5cMF7pEJpFp07qv1EBeDqwv7XmKR2CLCTq4pQOodVhmdF1RsNhD3rRwWH3qtFyJOH1Gp3SIciCjSCZCQD5JHe1JyyFSofQ6sR5cxTysaxro0g6H2kETydHkdshDUeXZ57Esbb1IRkbEwz1jzIoJnGK6kEwbg0ATBLHWuhqsVqteOWVVzB8+HBER0fjzJkzHo9bLBacOXMGfn5+HjOly8vLMWfOHBw6dAgvvvgi7r777jpfPzIyEkuXLkVBQQHOnj0Lf39/9OjRw92B3a1bt2Yfg81mw/z587F161Y8/PDD+L//+79mv2ZziYmpcRC8XLO48847kZOT47HfyZMnm/zaQUFB8PHxQX5+3UUoBQUF8Pf3F93XTYTjKi4QCFodi8WChQsXwmw2w2QyNTgTuy2R49t+Yq2LYWE3KB2CoAXxIZmhxwBLNw4LfXQciQQ9yffWW8eRMPEiEcn0HDo9Onurfz50trV9FMA2l0Qjx+zZX0gsiv1I1u/fakqVDkEWdCTXThardCPJ53nceUnpEFqdjlqO2dAVJFbp35IU0VwtFosFRUVF+OabbzBu3Lhajx86dAjjxo3Drbfe6nZJLSsrw+zZs3HkyBG88soruPPOOxt8n4iICERE/Dpac/fu3QBqbMabg9VqxVNPPYUdO3Zg3rx5ePzxx5v1ei1FVlYWAHiI/m+88Ya7O7o5aDQa9O7dGwcOHEBOTg6io6Pdj1ksFmRmZqJfv37Nfh82hIAtEAgajcsqvLCw0MM2vLCwEOHhNZaGqamp7n2zs7MRFxeHQ4cOoaKiAg6Ho14bDSV5vrK30iE0i/huHKLKOUeZ0iHIQoWz7f1GWoOjOvUfp8bBIQSyWIh/K3FYToeRdMuVkXTL2SQOZXeIk+M8lOilftEzpAn2iO2ZQkn96yCAp5ivI4m1dpbEUZDgS+LSwiLsBpJ0ecZr1T9PuJrEWSic5Jqi41giXDU+Pj5YtGhRnY89+eSTSEhIwGOPPYaoqCgANeL1Aw88gGPHjiE1NRWTJ09u8nseOXIEa9asweDBgzFgwICrjt1qteKJJ57Arl27kJKSgrlz5171a10NdrsdVVVVCAjwPC9WVVXhrbfeAgAkJSW5tzfnWH9LcnIyDhw4gGXLluG5555zb1+1ahUsFguSk5Nb7L1YEAK2QECK0Wh024RfLkBfCVeXdUpKivv/AdRpN26xWBAXF4fs7Gz07NkTRqMRmZmZ6NKlCzIzM+F0OlFaWgq7XfnKwqVo3wJwJ5I5nixWi0YSi7M+DvVbEO4jEY44jNKBWK2f0iEIWhAryTUlUMvRFVhFciI6RSAeeZP8Nq8BxzXlIMms71ySLjKOlS1gIDkPnZWqlA5BFio16r/vBIBAghR/JTgsxFmw02QSrg69Xo/x4+sfeRkSEuLx+MyZM3H06FEkJSVBo9Fg48aNHvv36NEDiYmJ7n+/+uqrKC4uRu/eveHn54ejR49i/fr16NixI954441a77dhwwbk5uYCAHJyciBJEt555x33448++qj7/59++mns2rUL/fv3R1RUVK1Y4uLirqoT+fL3c8Xh2taxY0e3aF9ZWYnRo0dj9OjR6NatG4KDg5GTk4P169cjPz8fc+bMQe/ejW9m+/jjj1FaWuNCU1ZWBq1W637fDh064N5773XvO2XKFGzYsAEfffQRysrKMHDgQJw8eRIrV67EoEGDMGnSpCYfNzvqv7oJBII6cXVKA3UL0E3BaDQiOzu7zvcwm83Yt28f+vbtC4vFgmPHjsFms0Gv17cJ8VoNsHQ2aDUcx+mUOBbx4Tb1p8CuNUY0vJMKyAbHDOyzDvULRwDgS1JE46XhSE4XOTl+n5vA8fu02NUvBl5ycAgqF/Xq76YHgAv2cqVDkIVrDA0Xg6sBjisncFHiuHZWkxTblpCshUZq1T9m5BxJGU0HjtQXvMHhdiEXR48eBQDs2LEDO3bsqPX4vHnzPATs3r1746OPPsLu3bthsVgQHR2NWbNmYc6cOXXOaP7000+Rnp7use3yDvHLBWxXLAcPHsTBgwdrvdbtt99+VQL2bzvSs7Oz3dsGDRrkFrCNRiPGjx+PI0eO4KuvvkJ5eTkCAgLQu3dvPP/88xgzZkyT3nfp0qW1ZmS73jc6OtpDwNbpdPj3v/+Nt99+G1988QU+++wzhIWFYdasWXjssceg04nvfVPhyFAJBIJWJTU1FePHj/cQwgsLC92PzZw5EwAQGRmJ/Px8VFdXu+3H2wLtfQb2qPDmzSVpL7DMIrOQWEoW6tX/eWZaLygdgiz0MYQpHYIs9NBxiA0slfA5zkqlQ5AFFlePMVKQ0iHIwn4v9X9vjznazj1Ca+JD8ttkKbQVqIuLJIU0ITqOsTHBWo4xI99L6p9Rz5IT2mU5q3QIsuCr4/httgYnT55s1LYrkZyc3CQ7648++qjR++7cubNJsTSWxh6jwWDAK6+80mLv29Tj8fPzwx/+8Af84Q9/aLEYmOG4axIIBC1KXR3XTqfTbSkOeHZ1R0VFwWKxuMVrf39/FBUVyRZvQ0RXjlA6hGbRrROH2AANSbWtjmPeEcOn2UOv/ip4JgpIunH8SEQVPUkHNsv4jYtajrVQb/gqHUKr8wNJEc0lJ4dQ7yT5PAXqwkQi7AZoOMaMRINDJDtGUAjvQ7J+DyDJCfXVhyodgkAgaAdwZKgEAkGLkpqa2qDteHFxMcaPHw+n0+m2DG9LorWasEkcc4A0JPZCVZL67UEB4Ae9+m+wSdzgaYjXqF84AoBAiSMxlEWSALNSlAsBRomjy/Nze57SIbQ63bw5kplGknVtoJYjCc8i1HNcUYAYDYeAXUXyiV4Ex+i6a7QBSofQ6pyUOMZS9CERdjs5OYpoBPVTVlbWoEOrTqdDcHCwTBEJ2iJCwBYIBA1iNpthsVjctuB1ERbmaSEbFRUFm82GtLQ0j9coLi6GyWTCnj1tx7a7vVuI3xjWvjvIGwvLDOxKJ4eAzfBp2kiSQgkSR5LPzvClBXBRw1EU5SARG1g6sE0cX1vEeKl/lEEQSUdgCUnBorAQVxccVxTgpEP9VswA4CC5V4nTqV/YBTjEXT+xRlAVW5wcTU7zlQ6gDfPqq69i/fr1V9wnOjq61SzJBe0DIWALBIIGsVgsWLhw4RW7rsPDwz3+nZqaCrPZ7H5OYWEh4uLikJ+fj9zcXAQE1NxElJWVtV7gjeT5yt5Kh9AsdJ05EkMs845YEn0mgiWIhcT2nkQHRB7U7xoA8Ai7HWFQOgRZ8CLpTGYhVKP+722exGGt7U3SgS0QtEf660xKhyALHHfXQDFJB3YggVuUjeQ+5RcnRxFNpM5P6RAECjN79mxMmjTpivt4e3OMgRDUj/qzxwKBQDFSU1Pd/282m5GXl4cLFy4oGFHdLEX7vkHtIpGIZCQ5eJZKeIZEgkRyg03y06QougAAO8n3NgccM82LSGa3e+uClA5B0EIEE4j0AFAmqX8dBAAGDYdQ34tgPj0AHILyxedyUASO7scAkrUtS4E4AwUkRW4+Wo5O8yCSNZ+gfuLj4xEfH690GII2DsdqRSAQtDhGoxEpKSluS/D9+/dj6NChAACbrX3d8D2AYqVDaBZft3MBvrEE6zgSQywW4n0c6r9ZWeLIVjoEWeiij1U6BFnIcJQoHYIs6ElmQ9tIir86aNV/rgVA08v6lUX915U5+m5KhyALpSS/TY5VLZCJKqVDkIWOJLOhz0kcnyfLiC4WgghWQ10JuswBnk5zjqMUCATNRQjYAoGgSbhmWQNoU3Osm0N778DmSPMBExzqn/sIAP8zcCQ0QTCvtLchTOkQZCGbpJM1gKQS3kCQ/AKAeC1HAsxC4urhQ3BNAYBIfaDSIbQ6BpJsZoGGowP7hOOS0iHIQjjJNUVH0snK0hV4ysHRUd9Lp/5rJwBYCeRAI4nxPYsr30WSEV0CgaB5CAFbIBA0Cdc87PpwCdzFxcX48ccfYbWKBUlrE+HFMTdmqT1X6RBkwWlT/40nAPTXRisdQqtjkzg+yy4wKh2CLHTQcCybOb61wCmS7qpoDcfMsCg7xzc3wVv9SXgvDl0XXZwcRVFnSK6dTpKr5xmpUukQZGEIOAqnO+o4hPpIB4foWUZwmDkaDl+PZI7bFGz34TgHCQSC5sFxNyEQCFoEo9GI7OxfrQsv78Z2UVhYiLS0NJjNZgCAyWRq853aOb5tO76G6B98vdIhyIKR5AZbIhE9GTCSWDGT5GwpuhoAIFriEFUMJLaZLN9bFi4SzDT/mkTBDgbHubYjyWzoSxKHqMJyn5Kt5fg8ezg4zkORJEVuJ7zVf/2sZLBxA/CTgaNAvCvHxykQCJqJELAFAsEVuVy0Tk1NhdlsRkpKCoBfxerLMZvNGDhwoOxxNofoyhFKh9AsYuLUf6MCAF4kdlH+JEI9w6d5nYPjxjNDZ2l4JxXQTeL4PO0kgmdXO4dV+g9eHEn4fC+OggR/jfrFhgqJY107zMpxDtrmzZGd7qjhWCOcQoXSIchCGTjOQ9/pOI4zjOT+2kBg8R8Ajs/yc02x0iHIwnBN+x7nKBAI5EEI2AKB4Iqkpqa6BWvXv12kpKR4dGFnZmbC6XQiODgYRUVFssd6tbT3DuxhYTcoHYIsqP92rIZyJ4ftfhVB3vaolsP7i2UeYiRHjg96iePzPGjg+EDDJXG7J2hfRJLY3r/ndUHpEGTBj8QqvYpkZjJDASoAxILjPMRRXgJ0tnN8c4sJ7q8rNRyFtk9UBygdgiys8uHIlwgEguYhMhoCgeCqcXVnuyzDIyMjcfToUaXDouMGfaTSIchCuq1Q6RAELcgvWvUL9UPsPkqHIAsHvDg6sM95cSRMwpwcAnYvO8dtUI6O43sb4uA4Th+d+pPwWSQzdn0IuukB4KytROkQZOEaQ7jSIciCU+kAZMJG4kajJylCrVT/pRMAUK5R/y/0gIOjM9nXGKJ0CLIQQHKubS49evSo97HNmzcjISGhzscKCgowYcIElJWV4cknn8Sjjz7q8fjy5cuxc+dOnDp1CpcuXYK/vz86deqEqVOnYvLkydDprlwV88QTT2Dr1q2Ii4vD9u3bPR5LT0/H1q1bceDAAeTm5gIA4uLicNttt2HatGkwGpvuXLN//37cd999dT4WFBSE/fv319r+3Xff4YMPPsDx48dRUlKC0NBQDBgwAHPmzKn379bc9z1y5Ag2bdqEzMxMZGZmoqKios6/v6DxcGRuBAJBq3C5pfjhw4fRt29fjBgxos3PvFYb/7PlKx2CLOhJav6rSDqwTQRLkHKOrywNlwiSQgBQTtC9AQDxJBbine0cyelMA0cC7LBN/V27d2ujlA5BFn7Qcaz3Yr05ZmCXkljfsyxtT5EU0gwAR5enjWMphFKCnvpuOo7vbBlJuVA1yXG2BAMHDsRdd91Va3tUVP3r5hdffBEOR/3nhR9++AGRkZEYMWIETCYTysvL8dVXX+GZZ57Bvn378MYbb9T73O3bt+O///1vvUL0m2++idzcXIwdOxb33HMPbDYbduzYgQULFmDz5s1YtWoVvL2vzu3kd7/7HQYMGOCxra7X2r59Ox5//HF06tQJ06dPR3BwME6dOoXVq1dj27ZtWL169RWLA672fXfv3o20tDR07twZvXr1Qnp6eqPfQ1A36s8eCwSCVsVlKT5z5kwUFxfD9P/YO8/AKMr17V+zLZueTQ8hCSWE0EGKygGlg4BSBEUBBQUUpRiVoyuiWIMcPMBR4c9B2tGA9CIIgoAIKiAQQCAiNSEdSN0km23zfsi7C8sG0uchcz+/L8rs7O412d2ZZ+5y3TodAgMDYbPZ6o2NeGpe5aqu7lcUzWjckSkEGsfprqBhQRhulX8I7A8lDUusxkRmQ3sQsdamcZRANpHOZBoTsIEYE41vroda/sndJaWXWUuQBF8bDZcWg62UtQRJiNUEsZYgCVRSDUVECoq9WAuQiEL533YCAIoJJLBLRRpnIS+BRqFtsSj/72xtERERgSFDhlR6/x07duDAgQOYMWMG5syZU+4+n3/+ucu2cePGYeLEidi2bRvi4uLQoEEDl30KCgrwwQcfYMyYMfjpp5/Kfe033ngDHTt2hEp1K/U4duxYvPHGG9i+fTs2bNiA0aNHV/p4bqd9+/aV+lssX74carUa3333HXS6W/PWO3TogKlTp2LLli146623av19n3nmGbzwwgvw9PS8Z/c2p/LwBDaHw6kWt8++BgCdToekpCSkp6fXm8S1XFALNO7IuqhoBIZ+MWWwliAJpQRyDS8YCRwkgFVaGsFpJZEimiIigQQqn6cHaATAbBoadsy/WLJYS6hzIjX+rCVIQpTCk7UETi2SJ9IoF1ISKXPzVNC4phwGjU7zRgKNYttr1iLWEuqcB5S6ineSAXtKr7GWIAmhah/WEuoVZrMZpaWl8PK6d/lRTk4OPv74Yzz33HNo2bJlld8nPDwcQFmiurwEdnx8PNRqNV577bW7JrAffPDBcrcPHDgQ27dvx/nz56us63ZKSkogCMI9rcgNBgO0Wi18fX2dtoeEhAAA3N2rXkxamfcNDAys8uty7g1PYHM4nArRarWIi4tzsgZXKpVQKBQwm+v/zXpDv79ZS6gZwTRmYP9hkb9tJgD4Kml05FwgMAP7TxqxEhwtSWUtQRJ6uUexliAJRiJW6QVEuqtsRObsPmih4V7yC4HcUaqJxnzLCC0Na203MqbTNBCJzCv1F2hcU7Jsxop3kgE+oHG+7SvIf27yEbGQtQRJaKqR/2cJAB5EOs179+59z8f37t1b4Wv8+OOP2LZtG6xWK7y9vdGjRw+89tpraNiwocu+n3zyCdzd3TFt2jT8+eefFb52fn4+rFYr8vPzcejQIWzcuBERERFo2rSpy76//vorNm3ahCVLlsDDo+rn1qyssmLcmiR5P/nkE+j1egBAaGgonnjiCbzyyisuCelu3bph+fLleOutt/DCCy84LMTnzp2LsLAwjBo1qk7el1P78AQ2h8OpELtNuB29Xo+MjAyHBYfdOvzO/+ezsKXBJtIIJFDpljMRmaEXCPknVdyJWE5TmeiTS6S7ikrQ1lNBI2BiJGL4elVFYy0ULfixllDn5ClpJBqu2Wh0PqaYaDhztXGjUVCsJFKQoCXiXuJHZM2XIdC4vzYI8ndRyrfScP4KVtBYC121FLCWIAk1vXK2bt0a/fv3R6NGjWAymXD8+HGsX78eBw8exOrVq50SzQcOHMD27duxdOnSSieYhw0bhrS0NACAIAjo2rUr3n//fajVzjG74uJizJo1CwMHDkSPHj2qfBwGgwFff/011Go1Hn/88So/X6VSoUePHnjkkUcQFhaGnJwc/PTTT/jvf/+L3377Dd9++61TMnn69OkoLCzEli1bsG3bNsf2Tp06YenSpZVOolf1fTm1D09gcziccklKSkJcXJzTv222W0FQbhN+/9BU7cdagiT4EEh4AsDBUhrdrKUq+SdVrhMIIgDAQ+6uVb9yJBQ0gnx5BObnAXQSu2FEvreJYj5rCZJwzZTHWkKd04iIhXgf+LGWIAkBCj/WEiQhmUhncgwN8xIk0bh0woPIKDItkcILTwLH6aX0Yy1BEvxFGkU0TVQ0kn4f7k2o0fM3btzo9O/BgwejR48emDRpEj799FMsW7YMQFmC+L333sPgwYPxyCOPVPr1//Wvf8FoNCI7Oxt79+5Ffn4+Cgtd3Q7+/e9/w2AwYObMmVU+BovFgri4OKSlpUGv16Nx48ZVfo2OHTtiyZIlTttGjBiBefPmYenSpfjmm28wadIkx2MqlQphYWFo164dBg4ciJCQEPz1119Yvnw5XnrpJSxfvtzFXrw23pdT+/AENofDKZfQUOcq8tLSUrRv3x6A/DqrSz4PZi2hRlyak8dagiQoidxgP0Ckg2ODoWYzb+oDb2urPm+oPnJERcN+kAqRIo1ioSsCjWRDDmh0HUUQmScc6ib/QF+OSCNDRqOEBsijEYMnQ7qahrtQpkDjPJRkoTGyIZCIs0cDQf5rhHSxhLUESbgo0igojhJorN/rgkcffRTt2rXD4cOHUVpaCjc3N8ydOxdGoxHvvPNOlV6rY8eOjv8fNmwYPvroI4wZMwbff/89IiIiAAAnTpxAQkICPvzwwyrbf1ssFrzxxhv45ZdfMGHCBIwbN65Kz6+IV155BcuWLcP+/fudEskzZszAwYMHsXPnTgQFBQEA+vTpg7Zt22LixIlYsmQJ/vnPfwIArl+/7vSaSqUS/v73Lqq92/tyah+ewOZwOOWycuVKp3+PHj0aWq0WRqMR3bt3BwBkZ2cjISEBer0eRmNZAqM+JrejJzdnLaFGRMbTWNzSSKkASWYa7ga9vFzn6ciN/WIRawmSECvSCAplCDQsxE1EZpFFiTTaq6xEugL/FmgU0lAYG5NkzGItQRLyNTRsUG9YDKwlSEJzTfVnOdYnmhNJNpiJXDvHIIS1BElIJLKGvybKfzSFB5E0hoFIMZ8/kc+zrmjYsCFOnTqFvLw83LhxA+vWrcPkyZNhMBhgMJStv+wzp/Pz85GcnIyAgAB4eXnd83WHDh2Kb7/9Flu2bMHUqVMBALNnz0Z0dDQ6d+6M5ORkx74WiwWiKCI5ORlubm4uzXBmsxlvvPEGfvzxR7z00kt4/fXXa/NPAADw8PBAQECAk1Nseno6fvjhB/Ts2dORvLbzyCOPwNPTE0eOHHFs69atm9M+4eHh2LdvX5Xfl1M38DMFh8OpFJGRkUhJSUFCwi3rE71ej7i4OGRnZyMyMhIZGRmO5DZQP5PZ9REbkRtsjrz4i0CiPkpVsR0Rp/7Q0koj4WmgYXaBVCLBTA1odMsR+doiFvIvGEpW0UiQdVUEsJYgCec1WtYSJEEgcq4NtdE4zvMKGmuE0yoaRYtUivkes/qwllDn/KikMTO5sdKbtQRJUNH4adYZV69ehVqthk6nw59//glRFLFo0SIsWrTIZd+VK1di5cqVmD17Np555pl7vm5paVmRZX7+rRFN6enpKCwsRP/+/ct9Tr9+/dCuXTusW7fOsc1kMuG1117D3r17MWXKFEcyvLYxGAy4ceMGoqKiHNvsiXur1bXhSxRF2Gw2p8dWrFjhtI+bm1u13pdTN/AENofDqRTx8fGOhHV5iemLFy+We2Hg1D1ThAjWEiTha2SwliAJSiIBsOZq+c+4bESmw5MGVBK7VIqiuphp+HokqmlYiFNhp0X+a6E8q/w7yACgvZXGudZLc+8uH7lQQmQsxW4FjeSRmkhZVCGRMSONxIoTEXLgvEr+d2XBoFEUpSISE0ojMq6hJuTm5kKn07ls3759O86ePYuePXtCo9GgTZs2WLhwoct+Fy9exBdffIFBgwahX79+aNWqFQCguLgYoijC09O5cFQURfzvf/8DAHTo0MGx/bPPPoPZ7Frc9cEHH0CpVOLdd9+Fn5+fY7vJZMK0adOwf/9+xMXF4eWXX67W8d9OeX8LURQxd+5ciKKIPn36OLY3btwYKpUKx44dw7Vr1xxW6ACwc+dOlJSUoG3bto5tXbt2rZX35dQNPIHN4XDK5XZbcKDibur6nLw+YqrfVoUjiczH6aqhMRv6D/P1ineSATsLklhLqHO+VbdgLUESPtPQsAdtoaTRUe9BJGh7Uk3j2hlroXG7d4xA0BYA2qvlb1McqKLxnd0u0LAQb0gkcfQ3aBReUJixCwBtLDSK3Kw0cmQIstAoMMki0FF/SUnjs+xoorEW2qWmce2sCYsXL8aJEyfw0EMPISwsDGazGSdOnMDu3bsRFBSEmTNnAgBCQkIwYMAAl+fbbbKjo6OdHk9OTsaYMWPQr18/NG7cGDqdDtnZ2di1axf+/vtvdO/eHY899phj/969e5erb+7cuVAqlS7v/eabb2L//v144IEHEBYWhq1btzo9HhkZ6ZQgrwwTJkxAYGAgWrdujdDQUOTk5GDv3r04deoUOnfujNGjRzv29fPzw/PPP49ly5bhqaeewqhRoxAaGoqkpCRs2LABfn5+mDhxYq2/LwCkpaU5jjc1NRUA8Mcffzg64zt37ozOnTtX6dipQ+OMyOFwqozRaMT8+fNdtt+e2E5KSsKNGzekllbrNPT7m7WEGmENlH8nKwAcMWezliAJVLofH/ORf3L3S5FGcDqcyDzEYUYaXSqZAo1kw0UNjduglhYas6HXC4WsJUiCtyB/Z49/mOVvgQoAexS5rCVIg9q1a0iOBEL+v00ASBVLWEuQBD8CiUAA8BJpFC1ec6Nxf22GjbWEOoeKa8AuNY3O5Adt8h+NU1MefPBBXL58Gd9//z1yc3MhiiLCw8Mxbtw4TJw4EQEB1RtJExISgqFDh+L48ePYu3cvDAYDvL29ERMTgw8//BAjRoyAQlH9a8SZM2cAACdOnMCJEydcHh82bFiVE9j9+/fH/v37sWbNGhQUFECtVqNp06bQ6/UYPXo01Grn4rMZM2agSZMm2LBhA1auXAmTyYSAgAAMHjwYr776qlNXdm2+b2pqqks3/G+//YbffvsNADBlyhSewK4iNCI3HA6nUtyenM7OznZsy8jIgE6nQ1JSEkpLS11Ozhy2aAQap3K1QOMGu6WKRkHCn+abrCXUOU3UfqwlSMLhklTWEiRhsNCEtQRJOEEkyGckYn7/Xzf5BzMBoLFAI+lJYSVkUNJoCYxQ0vjOUpkNTeU4KZyDADrjcYgs+RBlo/HN3Qz5318/oqARKwmw0bimnFO6WlJznOndu/ddu58rw4MPPojz58+7bPf398esWbNqIg0AsG/fviptrwmTJk3CpEmTKr2/IAgYMWIERowYIen73u1vzqk+NLIeHA6nUtzedW2fd52dnY3IyEgYjUaEhoY65j5UZClenwgv7s5aQo1oGsVaAac2OWfJYS2BU0vQCJUAXdwbspYgCWtEGhZn3kRuD/xAoxiPSvGXL5HvbT6BzqNcGl9ZRBGxYv7LRsMdwVOgcU3pa6VReFFM5DyUopD/NQUAtETuylpB/uOOCgh0mQPAJSKJ3QKRRqc5h8OpGTTu9DkcToVotVqkpKQ4/h0fHw8AGDdunKMrOzMzE+np6Uz01SVpHvU7Gf9wYFfWEiSChpVbSzWNqmIKt56dLDSsmL8wX2QtQRIecY9kLUESvIica72J2GbmCzQ6ONJFGlbpbSD/kQ2BRFofDUR+mz0IJFQAINpI44u7TFvAWoIkeBIJlcaINApp0gUayUB/At/bJhYa6/dgBY37sWQix8m5O4WFhY6cw91QKpXw96cRJ+WUj/yvbhwOp1LEx8cjLi7OZXtYWJjjYnJ7BzYA5ObmOv6dm5vrmHFR36jvHdiRkTQCJjTCfMA5M40ObD+l/AMmIpFZwlTwJpLYDRBpHOefoNFRb7DRCNo2U3ixliAJl1HKWkKdk6GmEZymUMgHAFkCDY/iI1oa59oQQctagiQEEXFpcSdiU+wt0FjbNiKQ3N2ppFFE0wk03C5irDTOtZy788knn2Dz5s333Cc8PLxOLMk59QeewOZwOC7cPgtbTlbhd+MF5LKWUCNETSxrCZJwXjSwliAJDYhYSm4qOMtaQp0T5EPjt/mUtilrCZJwBTQ6PAuIBPmKRBq2mY0U8u/YBYAs0LAgpGCVnkGkm/6cMZO1BElo4hbEWoIktFB4s5YgCeE2GmuEMwr5FwsBwHkinclaIkWo+Sr5J7ADQKNAPJnIulappFFEw7k7EyZMwBNPPHHPfdzcaPzuOXdH/nfAHA6n0mi1WsTFxTl1U9ttOnJy5NsV+pKpfi8O9UQCfTesNLrlwlUerCVIQmP3ENYS6pyHLTS6VH5X0TgHmUUaXWQ6IjOTRSKf52UixV8RRBL1pQT6dnvbaCQCQ9xprBHURDyU0kUaCc/LAo3iLw0RN5oQIm5R/iKN0HcpAccLHyIjgPIEGi6Lv5uzWUvgMCY6OhrR0dGsZXDuc2hcxTkcTqWwz722c3sn9smTJ9G+fXsAztbhcujQbuj3N2sJNULZoDlrCZIgEAmAHTHR6MjpoAlmLaHO+Z1Ix+7RklTWEiShh3sUawmcWqQlkW45C+QfzAQAPyLJhnMErO8DLDS+s38hj7UESeijoNGBHWulEVrbQ8S+t1Ck0ZlcROQ4vRU07JiTxRLWEuocE2gkdrPMRawlSAKNCB+Hw6kpNFbZHA6nWtye0B43bpwjcf33339DFEWYzTRueO53LpvzWEuQBKVAY3nbSSP/zmQAOGW+wVpCndNMrWMtgVOLUJmBTSH4BQDdbDQ6dv9Q0vg8s2ksEdBKlL9LyxLVddYSJCFYIf/PEgBShPrtdFVZMghY9wIAkZooNCTy+/QhsrYtIeBeAgAeBMYAtSCwDgKAQjWN+xQq950cDqdm8AQ2h8OpFGFhYUhMTER6ejrc3NxQWFjIWlKtkZoXw1pCjTA0odHlGabxZS1BEgaW0IjC/0ZgtpxJpBEsodKZ7CXS+G0+aqURMElR0fh9NhfdWUuQBBORrEpMqfy/t79q1KwlSMJFs3zHM92O2UbDcrqFm/ydhQDASmT8RhQ0rCVIgo/8LykAgEwlje+tB+RfSHPIRuPa+YwtgLUESfBV0bjv5HA4NYMnsDkcToXo9XqkpKRg165dTtuMRqMs7MQfrOcdrz3caFhipVpoWNZtdqdhi+Vplv/MNSquAYFE5soRifGhWP6xLwBADmgkVZQCjWQgFZLc5H9d8QaN76xW7cdagiTk2+RfsAgADQQaM82TCYwxAIAMIrO+RQWNNTyVNR+RJTwJbsq/mR4AiBjCczicmkJjtcLhcGqE0WhEZGQk4uLiHNuys7ORkJDgNCe7efPmyMvLc1iLm81mqNVq5OTc31WSR0xZrCXUiJFmGss+DQFLLADoTiCxCwB/sRYgATYiXSopAo3gdGORxm/TKP/8GACgnZVGd5WWSOVFLo0lAkIJzIcu0XDXAFmhpGH36i3SSB1ZiXxvC0BjVJqHQON729RGozDqqkL+ifo2Sj/WEiShiEgc4Q8xn7UEDodTD+AJbA6HUylun4cNlHVgjxs3DjqdDklJSbDZbDAYDLBarbBa61dCtb53YEcJRKLTRCglkjyiEP960EYjaJujIPBhAlCBxo8zsH5dwqtNoorGXFa1kkZwmoJtJgAUq+V/HtpmvMJagiS0cqvf9x+VpViUf0IFADy524Ws0BFxgmhlonHt/EtDI14SLMq/mi8R8hlleC8etdFwWeyioDEmsDax2WwYNWoUTp06hYcffhgrV650PLZv3z7s3bsXJ0+edIz/jIqKwsiRIzF06FCoVK5pwH379mHVqlW4ePEiDAYDQkJC0LVrV0yYMAENGzZ02rd58+Z31fX9998jJsZ5PKfFYsHy5cuxceNGpKWlwc/PD71798Zrr73mcHKtCVlZWRg0aBAKCwsxffp0vPLKK06Pv/3229i8eXO5z33hhRfw1ltvVep9Tp8+ja+//hp//fUXbty4AZvNhrCwMDzyyCN44YUXEBLiuqbfs2cPVqxYgaSkJIiiiGbNmuH555/H4MGDq36gHJ7A5nA4d8feXZ2dne3yWHx8vOPx0NBQ6HQ6h534kSNHIIqioxP7fifNo35an9vpGvQP1hI4tUgGkRldxnpyfqgJVBZZ8k+nlBFtovHb/ItGYzKa2WgcqEGg8b09IdIYMzLaLP+AZrRbEGsJkpBCZDROiY1GsVCshsb3lgpekH8iEABOamhULQYSSOwCQKog//vrQqv8jxEAflcUsZYgCY0FGq47tcmqVatw4cKFch+bNWsW3N3d0adPHzRt2hSFhYXYsWMHZs6cid27d2PJkiUQbhtzt2rVKnz66ado1aoVJkyYAE9PTyQlJWHDhg3YtWsXvv/+ewQFOa9vOnXqhKeeesrlvcPCwly26fV6bNu2DT179sSLL76I1NRUrFq1CidOnMDatWvh4VGzho/Zs2dXqoFu7ty5Ltuio6Mr/T5Xr15FUVERBg0ahKCgICgUCpw/fx5r167F9u3bsWnTJqck9tdff41//etfiIiIwOTJk+Hu7o7du3fjjTfeQGZmJiZMmFDp9+aUQSW2yuFwqoHRaMT8+fMxYMAAJ/vwO7FXTmVmZjqqvNTqsqrl+90+XA4oiKSPFETmCV8SjKwlSEI7TTBrCXWOkkbTEYVmelJ4iDTOtdkKGt044VYa3VWziHRgX2YtQAIuld5gLUESYt3kvw4CgACBRrFQAZFOcxpnWuCgxbWAX450VgWyliAJaiI3K54ELOE9FTTcEZJKaZyDslSerCXUK65du4aFCxciLi4On376qcvj8+bNw0MPPeSUpH7++ecxduxYHDhwAL/88gseffRRx2PLli1DSEgI1qxZAze3W+PSIiMjMWfOHOzevRujR492eo+IiAgMGTKkQq2///47tm3bhl69emHx4sWO7a1atcK0adOwfPlyTJkypUrHfzs7duzAgQMHMGPGDMyZM+ee+1ZG77144okn8MQTT7hs79y5M+Li4rB+/XrHsdy8eRMLFy5EYGAgNm3aBB+fsuLjMWPGYOLEiViwYAEGDBjg0t3OuTc8gc3hcJy4faa1vfM6NDTU8bi9y9rOwYP1u3sZAFLzYire6T5G0YxGsoEKD1ppVKGeU8q/evp3FY1iBPmHSsq44kYj+mUmMnOtAxGL/wtEKmmalNC4dl51I7Dmo9GwiyyrgbUESbhgpbEW4h3Y8iJG5cdagiTkEJn1XUykaPGsRf7NIxqBRhojTEPDWltJJpJQO7z77ruIjo7G2LFjy01gP/zwwy7blEolBgwYgOPHj+P8+fNOCezCwkI0bNjQKXkNwNFNrNVqy9VhNptRWloKLy+vu2rdunUrAGD8+PFO2/v374/w8HBs3bq12gnsnJwcfPzxx3juuefQsmXLCvcXRRFFRUVwd3eHUll7jhz2JHRh4a3RBidOnIDJZELv3r0dyWsAEAQBQ4cOxcGDB7Ft2zYXu3POvaFx5udwOJXG3nUNAHFxcdDr9Y6EdW5urqPLmndW3z+oCFTaAnQqxKNKaFi5XXSXfxC+iEhvcqRY/o2N3Lgm0MiqFBMJZh4TaCSPLEQKEo5r7x5AkRPpBM5DSiLrWoGKgxI/Tk49hEa6E8gT5X9NAYAAwa3inWQAhcILNZGE502xlLUESVAR+Tx79+59z8f37t1b4WusW7cOx44dw8aNG6FQVO3vlpWVBQAICAhw2t69e3f8+OOPmDNnDkaMGAEvLy+cO3cO8+bNQ/PmzTFw4ECX1/rxxx+xbds2WK1WeHt7o0ePHnjttddcOopPnToFhUKB9u3bu7xGhw4dsH37duTl5cHPz69KxwIAn3zyCdzd3TFt2jT8+eefFe7fqVMnGAwGKJVKtG7dGhMnTkTfvn2r/L4lJSUoKSlBaWkpLl68iM8//xwA0KNHD8c+JlPZddXd3bW42l4QcOrUqSq/N3V4ApvD4dwVrVaLlJQUREZGwmg0IjMzEzab/G7n2moXspZQI5paZ7OWIAm/ilmsJUhCjrs/awmS0MIm/6RnpkDjxvMqkeP0JrJsjgANu1cqBQkZtmLWEiTBj4j1fT+r/Dvq09V+rCVIQgMFDReIdAWNc1AwEav0KzYaRW5PGWkkVXIU3qwlSIJBSWONcFYl/zWCjsg8c2+BxnG6E1m/pyO/Rs/PysrC3LlzMX78eMTGxlbpuZmZmVi7di18fX1dEukffPABbDYb/ve//2HFihWO7f369cOcOXNckrCtW7dG//790ahRI5hMJhw/fhzr16/HwYMHsXr1ajRt2tTpfXU6HTQa1/WRvcM7MzOzygnsAwcOYPv27Vi6dGmFM7QDAgIwduxYtG7dGt7e3rh69Sq+/fZbTJkyBTNmzKjyLOqvv/4aX375pePfDRs2xGeffebU+W6frX306FGIouhk537kyBEAQHp6epXel8MT2BwO5/9jtw6324YDQHx8PPR6vSOJ3aJFCwDysA2/HXebq/VKfSJGQ6MzOdVSwFqCJCiJdHBoCDQFqqtYGVtfoXGUdJBfmVr5uBP55lLpVGlukn/QFgBSFPK3SjeDhuV0vkgjEWgl4kaTSaRb7vZArJzZ7E7je2sEje9tMyJuUSoCcYRigcZvU03gswSASwKNNV9lOqzvxezZs6HT6apsuV1UVIRXXnkFBoMBX3zxhUuyWKPRoGHDhujcuTMGDx4MPz8/nDhxAt988w1ee+01fPXVV04J6I0bNzo9f/DgwejRowcmTZqETz/9FMuWLXM8ZjQa4etbvhW+3bLcPr60shgMBrz33nsYPHgwHnnkkQr3nzFjhsu2UaNGYdiwYViwYAEGDRqEsLCwSr//0KFD0bFjRxgMBpw9exb79u1DXl6e0z7NmzdHt27dcOjQIbz99tsYP3483N3dsXv3bmzYsAFA1Y+bwxPYHA7n/2O3Do+Li3Pabk9iZ2RkOM2+lhNHTPW7s/efoFE5zZEXRwh05LQQ5Z9oAIBDNhojJRopaZxrE0Ua1tr+ROwkGys8WUuQhDXuNJKBA0vl35ETTaQj8AYR694IIuegQpFGEQ0VdERCpVoi3Y+BNCZ0oVQp/6LFbIHGes+XyDlI/t/YmrNjxw7s27cPK1asuOtM6vIoKirCpEmTcO7cOcyaNcvFMttms+HFF1/E9evXsWPHDsdr9+3bF5GRkZg9ezbWr1+P0aNH3/N9Hn30UbRr1w6HDx9GaWmpIzmt1Woddtp3Ulpa6tinKsydOxdGoxHvvPNOlZ53O56enhg/fjxmz56NQ4cOYeTIkQCA69evO+2nVCrh7+/sjhkREYGIiAgAZV3qvXv3xqhRo2AymTBp0iTHfvPnz8f777+PrVu3YsuWLQCAwMBAfPLJJ4iLi7vn7HBO+dA4I3I4nEqj1Woxbtw46HQ6JCUlOVmGy9Xm4kFNCGsJNSLKUjM7mvoClS4yKjP03AnYYm0sTWYtQRIecAtlLUESqASn2yh8WEuQhFM2Gq4eAQoatrZUZuiddJN/55GWyGfZWaSR2KXSY2KBmrUEScgSaKyFPIgkdn8Vc1lLkAQ/JY2ixVACxZkmMl5RNIgADXeE6mIymfDxxx+jW7duCA8PR3Kyc3zJaDQiOTkZnp6eCAy85cxpMBgwceJEJCYmYvbs2Rg1apTLax8/fhyJiYkYM2aMSyJ5wIABmD17No4cOVJhAhsos9I+deoU8vLyHPbgoaGhuHr1Kkwmk4uNuH0md2ho5eNIZ8+exbp16zB58mQYDAYYDAan18rPz0dycjICAgIqTBDb53XfvHnTsa1bt25O+4SHh2Pfvn33fJ22bduiSZMm+O6775wS2D4+Ppg/fz5mzZqFy5cvw83NDbGxsY7Pr0mTJpU8ao4dnsDmcDiOWdfArY5ro9GIgIAAJCQkALhlMQ4Aubm5OHPmDAA4VSTl5NDowuNw6pKWVhrJhtNKGpZ1FIgU5R8sAYACgQdM5IQfkXmlaWIJawmSECbQCICFWuWf3F1qvsRagiS0c6u8ZWF9hoqFOBWGlNKY3f6TGw2HhDZC+faucsNM5Dx0E/LvTg4BjfV7JhF7/7Y2Go511cVoNCInJweHDh1Cv379XB5PTExEv379MHDgQMyfPx8AUFhYiAkTJuD06dP4+OOPMWLEiHJf2574tVpdLSrs28p7rDyuXr0KtVrt5Nratm1bXL58GadOnULnzp1ddEdGRlZp/nVGRgZEUcSiRYuwaNEil8dXrlyJlStXYvbs2XjmmWcq1AvAKel/+wxw4JbNeUUYjUbk55ffVObv7++UMzlw4ACAsq51TtXgCWwOh4P4+Hgn6/D4+HgAZUlr+/bs7GxHMtv+WGJioqND22w2w9vbG4WFhRIqrx3SPOr3TO+uQf9gLYFTi1xQyv/GEwBKRPl7ubVxq9/uDpUlhcgNdisbjQQZldlyzUAjYHJTkP+5FgBMRILTGgKH2VMbxVqCJPxuymAtQRIGqhuyliAJF0GjWGiTpoi1BEnwJ5IkI3BJAQAEiTRC3yUEim0zRBr3nWpB/gWLAHBSQePaWV3c3d2xcOHCch+bPn06YmJi8OqrrzrmOBcWFuKFF17A2bNnER8fj6FDh971taOjowEAP/30E15//XX4+NxyYdu0aRMAoF27do5tubm55Y4V3b59O86ePYuePXs6dVoPGTIEW7ZswfLly50S2Lt370ZaWhqmTp1aib/ALdq0aVPu3+LixYv44osvMGjQIPTr1w+tWrUCABQXF0OpVLokonNycvD1119Do9Gge/fuju1du3a963tfv34dQUFBLtv37t2La9euuXRvl8e1a9ewdOlSNGnSBAMGDKhwf44zNK7iHA6nWtgT2cCtZLb9opWbm4sWLVrg4MH6nfwFgNS8GNYSaoQYTeTWk4aTG/qX0LhZma28wVpCndNS47rIlSNUOrB/FWhYTmuJ3B4UEpk/S+XzDCXSgR1llr997ymV/APwANBQTaPz8TEzjeD0fjWNzmQCUwwAgEhpJp3O5Aga9eG4pJH/9ZNKYnd0ifzHrQHAZhr1xNVGrVbfM9kZEBDg9Pi4ceNw5swZ9O7dG4IgYOvWrU77N2/eHLGxsQCA2NhYDBgwALt27cLQoUPx1FNPwdfXFydOnMD333+PyMhIJ+vxxYsX48SJE3jooYcQFhYGs9mMEydOYPfu3QgKCsLMmTOd3qtr164YPHgwtm/fjpdffhm9e/dGamoqVq5ciejoaIwfP75Kf4uQkJBy/xZHjhwBUJaQv/3x5ORkvPjii+jduzeioqLg4+ODK1euYNOmTcjPz8esWbMcducVMWnSJPj4+KBDhw5o0KABiouLcerUKfz444/w8/PDW2+95bT/119/jZMnT6J9+/bw9fXF5cuXsX79emg0GixcuNDFUp1TMTQiGhwOp0K0Wq1TghqALJLTlaGh39+sJdSIBxu0Zi1BEo6Zs1lLkIQCJY2bMo0g/yWIhsgcz6sCjTDfpBIawekTWvn/NgGgcymNeaU5Chqf5wkiWZXjWvlX8x0oucJagiS01dKwEP9YRaNYyJtIItBIxNVDSaRyupvozVqCJPysMbKWIAnRovyL+bIF+RfyAcB/tTS+sxqRRrxEKuyjPvfu3Yu9e/e6PD5lyhRHAhsA5s2bh/bt22Pbtm1YvHgxrFYrgoODMXr0aLz66qtOXdkPPvggLl++jO+//x65ubkQRRHh4eEYN24cJk6ciICAAJf3mzNnDmJiYrBp0yZ88MEH8PPzw5AhQ/Daa6/B09OzDv4CtwgMDES3bt1w/Phx7Ny5EyUlJfDz80OnTp0wbtw4F1vzezFy5Ejs2bMHGzZsQF5eHpRKJcLDwzFmzBi8+OKLLonw5s2bY//+/Vi6dCmKiooQHByMIUOG4OWXXy63k5tTMYIoijRW2hxOFYiLi3PMj7gf368y+/fr1w+7d++u8nvo9Xrs2bPHaZt9ZoMcZ1wfO3YMYj2vfnow8GHWEiTBjUDCEwAGqmgENJcWnWUtoc7p7tWEtQRJaEogWAIAviKNYKaSyJ2BlcbHiRalNAJ9W9zl33UEABet8neCiFXS6ExuKNIooiklkthNQjFrCZJgBI0EtsFGo/AiREGjOLOxQKPNU2eT/+L2moLGutaNSCF8Pmh8nouurmMtgcOp19DIBnA4nEoTHx/vYh1++6xrOVLyeTBrCTXixc8iWEuQhDXIZC1BEnZaaMxE7O0VzVpCnWOBfM+bFPlBvMlagiQoBfkHvwCgiYJG19ERLY0gPJEcGYnkbjGRBJmXjUYC26qgcU35oziFtQRJGO5Zv0dvVRazkkZi9y+b/IuiAOCmSKObNZrA2vacNY+1BEmIVfqxliAJVBL1HA6nZvAENodDiEGDBsFsLhsAJMdu6uoSPbk5awk14tS2a6wlSEL06VDWEiRhjTuNwC0FThhpFCMotQ1YS5AEkUiGTA0aM9fSRRpzWbVEPk+tQOM4KdjaplgNrCVIQifQcC9pZKZx7XzOI7binWSAF4EOTwC4pKAxNPkhQcdagiT8DRprPn9R/iH+Rkr5J+kBIJyIS8tNImMpOHensLAQRuO9i4yUSqXDGZZDE/lf3TgcjgOz2eywFdfr9U4XCfvs69zcXGRmZsJms5FJcl9cfJ61hBox+0J31hIkYQCRjpwTpTQ6zTu6yd8qXUEg0QCATJ95rpWGPSiIdB0ZrTSC08Gqup0vdr9w2ZTLWoIkFFrlH4RfpZb/+gAA9tCouUAokQT2dSJB+BgTjRDiaTcatraJIo217U0ia3gftfx/n95E0hjbLGmsJUhCfxWNQnjO3fnkk0+wefPme+4THh6Offv2SaSIcz9C48zP4XBcMBqN5c7E1uv1MJvNSEhIcNp2Z0XUwYMH61yjVNT3Dux/xdOIgKkFGsmGzgQSuwCQbpN/EF4gYsWcYS1iLUESCi3y/84CgFagUfF/3UzDNjPHQuP32cgtgLUESSi2lbKWUOf8rPBiLUESLERcPVZpCllLkIRHbPK39weA9Roa184AuLGWIAkFBK4pABCmotG1qyVgx3xdpDEap5Waxrr2FJExBpy7M2HCBDzxxBP33MfNjcY1mXN3eAKbwyGGPRmdnZ1d7uPx8fHQ6/WIi4tzbLu9O1un0yEpKQn+/v6y6dB+AfW7ayeNSKdKIpGkihuRftaGCvl3eXppaCyz/jTScA0I19CwWfRQaFhLkAQa5SWAVkHj2qkmELQFAI0g/+vKKYFGp9wAs/zXQQBwUUPjmnKcSCfrIIsPawmScFxNo3C6lYrG2va6SCNRX0TAsa4laFw7L4HG3PYIAjEhzr2Jjo5GdHQ0axmc+xz53wFzOBwn7J3Xtyep7YlpAEhKSoLNZoPBYIDVaoVCoXDMzZYr7ywuP5lfX5iERqwlSEKahUYHB4XgNABEKuXfYUVlJisVjCINO8nrJhrnWg8FjUpuhUgjVW8VaRR/USgwWdj+JmsJkrDvqDtrCZIwpoTGuvaolsZxJhJJ7NIoiQJSRRruQk0EGuNUKJBGxJWvWJR/MQIAeBOJfXE4nJrBzxQcDlHi4+Md/3+7RXhoaKij2zolJQUqlQoFBQUQBEH2iez6ymNEOji+VtBIqlAJmFyw1G/ng8oQpaJhJxlBpDP5usXAWoIkUEns2ojY97oTcS+hYoNqJhDQ/PQUjXmIw4l0V6UrtKwlcGqRGCuNa8phBY2O+iIbjfjOdSUN22k/yP/3ScEmHaBTCE+liIbD4dQMnsDmcIig1WpRWlpxcM/eia3T6ZCZmYnS0lK4u7tDrS5bDMvFNvx26vsM7P6f01j0tQWNOUA0blWAv23yL0g4TcRae5hbI9YSJCHNTf6uAQCIDDEACkQaQVsPIgEwE4HELgDkEZhpPrCExmeZpKbRgd3YTCNxFGiVvzsCANxQ0ij+8iHSFSgoaJyHbtpoFAyFEnBpcSOSwE4mcp8ywkTj/prD4dQMGqsyDoeD+Ph49OvXD4BzxzXgbCF+8OBBJvo41aeUiG1mouU6awmS0Fjtx1qCJGSaC1hLqHPaakNZS5CEFNDofKRCuo1G11G0wpu1BEmgsUIA3InM+g5QyT/Q97WKRtB2upnGWIp8yD+hAgAaGnldNKdRj4AbbjSSZCKRRD2RnydKCKz6aJS4AVECDZfFg2401kJPsxbA4dRzaKxWOByOE/Y52HfjzgQ3IO/E9sXF51lLqBEL0YO1BEm4BvknPAFACRrzSju4yT+5e4NItT8VUi35rCVIQqCSxpzA81Ya15RQJY0AWAkRG1SdUv7dctPNNNZBh1U0fpv7VHmsJUiCJ5FxDVYiqcAIyP9cCwDtiDgHHFLQSJLJP30NXCNiOZ1LJI7QRenPWgKHw6kH8AQ2h8NxwWg0QqvVOiWxu3fv7khi+/v7w2AwQBTLbmD5bGy27LZmsZYgCRoiNqjJFhpJlUiV/Lsfr5nzWEuQhPZuIawlSMINIsFpCsEvADCJNIKZRiLW2kqBRrfcuZIM1hLqnCRNC9YSJGGHeIO1BEl4xhbIWoIknFTTuKakE0keHSPi/HVUpFGQ0FDhw1qCJFwgUJzZUunLWoIkeChpxL5+JXKu5XA4NYMnsDkcTrnYu7Tt3dhJSUmOxHVhYSFsNhsUChrBwvsdKnMfg4l0Bd600rDvVRGYX/WCKoq1BEn43nqTtQRJoGJR7EnkOHPNNM61/iodawmSEKCk0UXW2FP+xV/rbDmsJUjCo0IAawmS0NhEY8zIHhWNBPZws/zHGADACiWN721DAmMpAKAh3FhLkASlQv4OJqVESm0zicSEYoncp9SEL774Al9++eU99/nll18QEuLaVJCVlYVBgwahsLAQ06dPxyuvvOL0+Ntvv43NmzeX+5ovvPAC3nrrLadtJpMJa9euxebNm5GSkgJRFNGgQQMMHjwYY8aMgaenc8z22rVrWLJkCY4cOYKsrCz4+PigefPmeO655/Doo49W5vCd2LRpE/R6fbmPtWrVCps2bSr3sV27diEhIQFJSUkwmUwICQlBx44dMWfOnCprAICkpCSMGDECFosFc+fOxZAhQ5wet1gsWLFiBbZu3Yrk5GRotVp06NABU6dORZs2bar1ntThCWwOh3NX9Ho9Dh8+jPbt2yM0NBSZmZkwmW4NvrJaaSRO73ciVTQqilMthawlSIJSkP+NJxUOKYpYS5CEpgKNc9A1G43P0yrSCAw1VNPo4CgmMi0whYh7iYXA77O1mkZi91nfbNYSJGF1XjBrCZLQ10IjQXZRTaNjVyXKv9AWAPJEGkPNU2w04ggdCdgxFxJZ11IpnNYQaGqoKX379kVkZKTL9vT0dCxYsACtWrUqN3kNALNnz65U3H7u3Lku26Kjo122xcXF4aeffkK/fv3w5JNPAgAOHTqEf//73zhw4ABWr17t2Dc1NRXDhw8HADz11FNo1KgRbt68iQ0bNmDSpEn4+OOPMXLkyAq1lcfLL7+MJk2aOG3z8/Mrd98PPvgAa9asQc+ePTF9+nRotVpkZGQgMTGxWu9tsVgwc+ZMaDQaWCyuxYuiKGLKlCnYv38/unTpgqeffholJSVYt24dnn32WaxYsQKdOnWq1ntThiewORxCBAUFVWl/o9GIBg0aQKvVIjMzE6WlNCqR6xvXbTSs3NwUNC5ZpTYaHRwhkP9N2W4zjeB0W03Vri31FfmnjcrQEhnXYLDRCNpmEAnaDlQ1YC1BEq4L8l8j/FaazlqCJBy8QcOlJUlFo4ssicZtCgIEGm4XhRYacY9igcZayF/pwVqCJFwlYPHvLdA42SYakllLkIRzRByUakJsbCxiY2Ndti9YsABAWXK4PHbs2IEDBw5gxowZFXYa39lBXB7Jycn46aef0L9/f/znP/9xbB89ejRefvll7N+/HxcuXECzZs0AAOvXr0dBQQH+7//+Dz179nTsP3LkSDzyyCP47rvvqp3A7tq1Kx588MEK99uyZQtWr16Njz766K5/p6qyfPlyXL16FRMnTsTChQtdHt+7dy/279+P7t27Y+nSpRD+f4PSqFGj8Nhjj+Hdd9/Fzp07Hds5lYPGmZ/D4QAAgoOrXgEfHBwMo9GIFi1aOFmK2+dhc9hTYDVWvJMMCCEwMxkA+qhoJAO/N8s/QG0mUoxAJbFrsNEIZnoradhJ+ilodMtRsYQ/JuazliAJLQk4XkSo/VhLkIR8Go2sGGOkEZze7c5agTR0M9LolrvmRmN0VROBxnFeI5DYBQAfQf5rPjciHbs9vZuxliAJvjwtVS2sVis2bdoEDw8PDB482OXxnJwcfPzxx3juuefQsmXLCl9PFEUUFRXB3d0dyrvMXy8sLCuKLi+vYO8A12q1jm0Gg6Hc/f38/KDRaODuXrOFU1FREdRqNTSau68zFy9ejNjYWEfy2mAwwMPDo9rjUK9cuYIvv/wSM2bMcLFLt3P48GEAwLBhw5yS1D4+PujduzfWrl2L48eP8y7sKsLPFBwOxwm9Xo/s7GzHRUar1SIlJQXBwcGO5DUAdO/eHbm5udDpdMjNzcWZM2dYyq4R0ZObs5ZQI3rMk38wEwDSrTS6yFJUNCrhFZB/xaFSoHGDTeMoAT+FtuKdZMBNG42iKA2RTvNSkUYhTRGRjvo9Zvkn6ge6udokypFckUYG+0ciid3rRKyYkzU0OlkDBBpFbmlEErtU3IUokExkpFO0gkZBcTMrjbRU79697/n43r17q/R6v/zyC7KysvDkk0/Cy8v1u/LJJ5/A3d0d06ZNw59//lnh63Xq1AkGgwFKpRKtW7fGxIkT0bdvX6d9mjVrhpCQEKxfvx4xMTF4+OGHAQAHDx7Epk2bMHLkSERERDj279atG7799lu8//77mDFjBho1aoQbN27g66+/htVqdZnHXRVeeeUVR4I8KioKI0eOxPjx46FS3fo+XblyBVevXsXo0aPx3//+FytXrsTNmzfh5uaGRx55BG+//TYaNmxY6fcURREzZ85EbGwsRo8ejS1btpS7n33s6u3JfDv2badOneIJ7CpC40zB4XAqjdFodKqQio+PR1xcnOOx+fPnuzxHr9cDAHQ6Xb3szL64+DxrCTXiJXRhLUESBAIJTwA4ZspiLUESRMg/cEvFFihSpBHkExQ0Pk+DaGYtQRJCBRoFCalEgtNGG43vbYFF/p+nG42GXaQKNL6zXcw0PtB0FY0EmUGQ//odAE4SuR9rTWQMUKlIwy8qR5S/W5Q/EQelc1b5FywCwDnWAuop69atAwA8/fTTLo8dOHAA27dvx9KlS+Hhce+is4CAAIwdOxatW7eGt7c3rl69im+//RZTpkzBjBkzMGHCBMe+bm5uWLJkCd555x3MmjXLsV2hUGDatGmYPHmy02v37NkTer0eixcvxnPPPefYHhYWhm+//RZt27at8nFrtVo89thj6Nq1K4KCgpCVlYWtW7di3rx5OH78OBYtWuTorr506RIAYOfOnSgtLcXLL7+Mxo0b48iRI/j2229x6tQpbN26Ff7+/pV679WrV+P06dPYuHHjPTu47Rbqhw8fdipcEEURf/zxBwAgIyOjysdOHZ7A5nA4FXJ7F3Z5xMfHO3Vnc6Ql2UJjcUulm9WDiN3rNWMOawl1jr+GRuX07zb5f5YAEEpkfp6KSE99FoEgHwBYCRQLAYC7gkaSzEcl/3bWNCKJXRolUYCNyIEmQf7FJQAwxCT/cxAAnNcEspYgCRYiThBmIgOPGijk//s0Evksqdx3RoFGQfGHexNq7bWys7Nx4MABxMTEoF27dk6PGQwGvPfeexg8eDAeeeSRCl9rxowZLttGjRqFYcOGYcGCBRg0aBDCwsIcj3l6eiIqKgqNGzd2JGd//PFHLFiwAKIounRVBwUFITo6Gg8//DBiY2ORlZWFFStWYNKkSVi+fHml7M1vZ+DAgRg4cKDTtqeffhpvvPEGduzYgZ07d2LQoEEAyizGgTI79WXLlqFbt24AgL59+8LLywuLFy/GypUr8frrr1f4vunp6fj888/xwgsvoHnzezu4DhkyBEuWLMGaNWsQHByMfv36oaSkBCtXrsSFCxcAACUlNNaMtQlPYHM4nAq5vQv7TuyJ6+zsbCQkJDhtu70bW6lUwmq1SqKXGuFEZkOnWWhYiFNJ1D/lFctaQp3zY2kKawmS8LCiclWr9Z1EWwFrCZLgRWB+HgDcsNG4cbQS6TryIpLAthEoSKAwYgQAikHjviibRmMyQolYTgcRGddQRMSNRkekm1VF5LoSJsp/LZQq0ChAvWKhcd8ZopL/d7a22bRpE6xWq2Ou8+3MnTsXRqMR77zzTrVf39PTE+PHj8fs2bNx6NAhjBw5EgCQlZWFkSNHomvXrvj3v//t2H/QoEGIi4vDf/7zH/Tp0wcxMTEAgDVr1mD27NlYunSpUzK9X79+eOyxx/Dee+9hw4YN1dZpRxAEvPrqq9ixYwf279/vSGDb7bqDg4MdyWs7Tz75JBYvXuyYV221WpGT49yUoVar4efnBwB47733EBgYiFdffbVCPT4+PlixYgXefvttzJs3D/PmzQMAtGzZEm+++Sbi4+PLtX3n3BuewOZwODXCbiuu1+sxbtw46HQ6AEBSUhL8/f0dFwGevK47rhLpwFYT6Qr0JBKEzwGNwBAFUogEEoptNGYJU5kT6EkkUU/F+t4k0lhnNtLIv2Cok5nGbzNDReM4vWnU0MByDztJOZHoRiPhGamgsRai8a0FronFrCVIgplIIQ0FOqkCWEuQBHeRylmodhBFERs2bIBWq8WQIUOcHjt79izWrVuHyZMnw2AwOGZEZ2WVjcTIz89HcnIyAgICKkyg2mdD37x507Ft/fr1yMvLw4ABA1z2HzBgAH744Qf88ccfjgT2119/DU9PT5dO8KCgIHTq1An79+9HcXFxhTbnlcE+e/v2JLS9czwoyHVUht1dNj+/LJaekZHhMqe8S5cu+Oabb7Bnzx4cPHgQH374ITIzMx2P2/82N2/eRHJyMoKDg+HuXuaC0axZM2zcuBHXrl1DZmYm/P390bRpU0fTX9OmTWt8zNTgCWwOh1Mp7DbiAJzswrOzswGUdWl36tSJmb6aED353hYg9zu95vmyliAJVDobqNi9UrD/otJFRoVwpSdrCZJgJtKxayRiIe5OJFF/w1LEWoIkGKzyH9dzwZ13JciJUiJFNBeJWIgbBRrFfBqRRgLbU6AREhaI3JOVEokjUMCHSGK3RODf2arw+++/49q1axgyZAh8fHycHsvIyIAoili0aBEWLVrk8tyVK1di5cqVmD17Np555pl7vs/Vq1cBAIGBt8Zp2GP/5TWn2bdZLLfWCFlZWVCr1RBFEYLgfA6271dbjW5Xrlxx0RsTEwN3d3dHAv927DOoAwLKCkWCgoKwYsUKp33sf9+0tDQAZV3Y5fHZZ5/hs88+c+k0B8oS6/bkOgD88ssvUCqVLh3hnIqhsVrhcDhVoryZ17fbiNu7roGyZHZcXBxyc3MRGBiIGzduMNFcEy4uPs9aQo0YYKnfCfjKkkbEWruVSv7dVQANG1QVkU5WGulOoJCInaRI4LcJ0PneZlkMrCVIgoVIB7aJgBNEPhFr7SdKaCRU9rrTOM7movxnzwLAKdAY6URlLXTenFPxTjKAxqcJeKvlX7QYCPkfIwAcFmm4LPoTaVKpLdavXw8A5dqHt2nTBgsXLnTZfvHiRXzxxRcYNGgQ+vXrh1atWgEAiouLoVQq4XaHs0pOTg6+/vpraDQadO/e3bE9OjoaALBlyxaXOdSbN28GAKeZ3M2aNcO5c+ewc+dOp/2vXbuGY8eOoXHjxvD2rto4zNzcXIfrqx2LxeKwNO/Tp49ju1arxWOPPYZNmzZh165dTp3j9k7oHj16AADc3NzQtWvXct+zZ8+eCA0Nddl+9OhRJCQkYOzYsejUqVOF87z37t2Ln3/+GcOHD0eDBg0qPliOEzyBzeFwXLjXzOvy9gXKEtlnzpxxeVwQBIgilVsGDqfmHDO5VgjKkQ6a4Ip3queYRPknGgA69oNU5iFSuWb7E5n76EfkOHNt8u9MBujMNKfAFTWNUEwoka+sB5HjBI3aTHgRcS8JU1UteVBfoVA4DdC4JzMT+SxzrDRs74MUWtYS6g05OTnYs2cPmjRpUq77aUhISLn23keOHAFQloC+/fHk5GS8+OKL6N27N6KiouDj44MrV65g06ZNyM/Px6xZsxASEuLYf/jw4fjmm29w4MABjB49Gn379gUA7NmzB8eOHUO/fv3Qvn17x/5Tp07Fq6++in/+8584evQoWrRogczMTKxZswalpaV48803q/w3ePzxx9GxY0fExMQgODgYWVlZ+OGHH3Dp0iUMGjTIoclOXFwcfvvtN7z55ptITExEo0aNcPToUfzwww9o0aIFxo4dW+F7RkVFISoqymV7cXHZb7RNmzYuf/fp06fDx8cHMTEx0Gg0OHbsGHbs2IH27dtj5syZVT5uDk9gczicWiI+Pt6RzLZjn4ltr5JKSkqCzWZzmkvB4XCcoXKDXUykw4oCkSKNBNl5ay5rCZJAo1cO8FJoWEuQhAKbibUESaBiDxqu8WMtgVNLXFDRWAcFErFiLlbSWL83EGh0mhv4fYqsyLfRGBtTAPmv+dop/VhLkARPIvcpmTYaifraYOvWrTCbzeV2X1eHwMBAdOvWDcePH8fOnTtRUlICPz8/dOrUCePGjUPnzp2d9vfy8sLatWuxePFi/Pzzz5g3bx4UCgUaNWqEGTNmYNy4cU779+rVC//73/+wbNky7Nq1C+vWrYOXlxfatWuHiRMnokuXLlXW/Pjjj+Po0aM4fPgwDAYD3N3d0bx5c8THx2PYsGEuVuXBwcFYt24dFi5ciO3btyM/Px/BwcEYP348pkyZ4phZXdu0b98emzdvxo4dO2C1WhEVFYW4uDg8//zz0Gho/LZrG57A5nAIUZ41eF2ycuVK6PV6ZGZmIj09HWazGYWF95/t2KeT63cnaBSRGdip1vvvu1MXtNAEVryTDLhszmMtoc5RErG9TxFoBIUeUAexliAJvkTaqzIIBPkAQFTQSKqECx6sJUjC31b5W0pScaLppAmpeCcZkCrQaE3OI+LS0tlG41y7SyxgLUESQpU0Ps9CIvdkbgTW8OdtNGJCnkRcINwFnpaqLOPHj8f48eOr/LwHH3wQ58+7js0MCgrC3Llzq/Ra/v7+mDlzZqW7iDt37uySCK8Jb731VpWfExISgk8//bTWNNgZPnw4hg8fXu5j1f2sOHeHnyk4HEJUxRq8PLRaLeLi4pCdnX3XffR6PYzGWzaO2dnZ6NChg2PbwYMHq/3+dcVy6Cre6T4m2iL/YCZAJxmYTOTzpEBLDY2EJ5UO7EQiwUwqNFJ4spYgCUYit3sXbDR+n82UPqwl1DlmJQ1L2wtWGt9ZjSD/hAoA+Ao0OmpolCMAAQoaneYaEqbTgL9Aw6bYj0DSM0ukMTLGm8BnCQBBRGaaczicmkEjosHhcGoFu0X4nUnw25PW9gS1v7+/wyq8vGqv+4kj9bzT41nQ6OAQiVhrc+QDjZAQnQ7sQCLBLy8C3RsAYCVyTYki8r29bMljLUESTlrlf759VhHGWoIkpBNJ7FJJeFJBRePSSWaeyk1R/tcUAAgishYqgoW1hDpHTeQO243IcZ605rGWwGFMXl4ezOZ7u9io1Wr4+flJI4hzX8IT2BwOp9rYE9cnT55E+/btAZTN0cjLy0NhYSHUanWFF6L7gYBleawl1AiVQCPQpyASSSgmYkGo5XZRnHrGeXMOawmSQGXmGpVzUJ6NRqdKiMqLtQRJCBDk73hxBCWsJUhCa8i/mx4AAm00gvDFRIqi8oiMpcgjktjVEimkKSYy09woyv84PYms3/8ozWAtQRIaa/xZS+AwZurUqTh69Og99+nSpQu++eYbiRRx7kdonPk5HE6dYDQaMX/+fIwePRrz588HUNadrdVqHR3Zubm50Ol096V1OIdzP9JaTWMG9p+m66wlcDhVIlhFw3LancjtgYEXC8mKXCuNpOd1sYi1hDqnubp+j/apLKeJ2N4/JPiyliAJ+URmfYfbaCQ8r5lyWUuQBJ2KxgzsUgWNDmwKowxolETRwWAzsZbAYcxbb72FgoJ7r4l9fGgUfXLuDo2IBofDqVMiIyMdtuLZ2dlISEgAUNahXR+S19GTm7OWUCOi5sjfKgoAQpU0uqvURDrN2xCYD60i8lmWEjEILbLRSHhqFDSC01Q6k0OVNAovUi00AmAlBAJ9OaL8jxEAhtr8WEuQhMsqGmuEdCIduw+ZaCQCO2obsJYgCVoi6cACkUa8JIhAAruQgE06AASrvVlLkIRHBN6BTZ3WrVuzlsCpB/AENofDqTJarRZxcXHIzs4GcGs2NlCWtB43bhx0Op2j+/p+5wXU7wrrX3D//41rAyrJhjQLjY4cNwJdgaFELG3bgMZxBirVrCVIgoGIzWKhQv5WzACgJBKcpkIjjfzXfKGCO2sJkpBNo1YIWpFGMV8L0PjegohVujeRUCmVFYJSoHEeyhTlHy+hUjhNxUHpkkCj+IvD4dQMGmdEDodTq9gT1vau6zsfGzRoEM6cOSO1rGrzzuJs1hJqxCEiVYvPIoS1BElYhlTWEiTBSMC+94qJxsxkXzcaid1MGw2LYoONRiBBIOKQoFLQOE4zgbmPAPB3qfzHb1wiklIZoI1iLUESHiilcQ4qInKuvaahcZzXRRprPjORZGCWxcBagiR0VMvf4eyyjcZneZVIHEHrRiPGx+FwagZPYHM4nBqh1+uRmJiIgoICiKIIs7n+JaU+nRzMWkKNUH5GI9C3VpB/0BYAHtGEsZYgCecIzH4MVVDpxqGBWaQR5NMQqfj3UcjfZhEAbhKZDe1J5PPUKuT/+yywyr+DDAAKibhdHKRhdoEcAoWZADCplIZ1wPfqYtYSJKHURsOO2YPIGkFJoDgzQkFjNE62soi1BEkoIDI2hsPh1Az53wFzOJxqodVqkZKSUql9WrRoAQCYP38+9Ho9jMZbgaekpCTcuHGjTrXWlK8U/2ItoUY8o1rCWoIknLfksZYgCb+YMlhLkASNIP8AWDaRav+2BOaZA4CngkanOZVZ3wECjayKWkmjyI1GeQlgJXCk+RYaRReBIo1QjBuBhAoAhBAJrW3Q0kh4tiIyoitHQSN5ZCFw7QSAC7ZC1hI4tUQpkfsxrUr+MSEOh1NzaKyyORxOlYmPjy/XIvzOffR6PVJSUhAcHOz4/8jISEcSOzQ0FC1atMDBgwelkF0t0r56nrWEGjFJ7MJagiRQCNoCNBK7AKAlkAyMUviylsDhVBkPIh3YVCzhfQQaXUepVhpBWysBJwgbkRm7wTYaid10pfy/swBwmYjl9LBSD9YSJCFVTeP3eZ3I/NnrRNZ8fRTyLyo+Bvm7uAFAuNqPtQRJaCrQ6KjncDg1g0aEisPh1Bm3J7qNRiMiIyORkpKChIQE6PV66HRl1cutW7dGZmYmbDYbcnJozHORikwbDXshFZHEbqlIo7PBROA4L5hpnOtaawJZS5CEdDONgAmViv9QtQ9rCZKQbM1nLUESTERmYBsI2Gv3dm/EWoIk/AUa51oLkYIEBZFO80wVjeNcZ01jLUESCok4XrgraRTzXVTKf41QaqNRFJVloVGYmQUax8nhcGoGT2BzOJxa5c6E9vz58wGUzcoGgMzMTPj7+99XSezoyc1ZS6gR0XPknwgEAKVAwwZVReQ4LQS6yKgQKRKxYtYEs5YgCVEijSDfadAo/gpW0uiWS7PSGNlQbJN/t1ySNY+1BEloq6RhUexDJLGbR6QgIcxCoyChscaPtQRJSCby+6TicGYkcH/tr6Bx36kiUiwUqnBnLaHeYbPZMGrUKJw6dQoPP/wwVq5c6fT40aNHsWTJEpw6dQomkwlRUVF4+umn8eyzz0KhcI012mw2rF+/Hhs3bsSFCxcAAGFhYejVqxfefPNNp31v3ryJr7/+Gvv370dGRgY8PT3RqFEjjBo1Ck888YTLax87dgxff/01zp07h7y8PAQGBqJjx46YOHEiYmJiavy3SEhIwIcffggAOHDgAEJDQyv1vMuXL2P9+vVISkpCUlIS8vLyMGLECHzyySc11sSpG3gCm8Oph2i12grtvUtLpQtw2WdhBwcHO/4dFxeH7OxsAHDMxbZ3Y+t0uvvKUvzi4vOsJdSIx4WWrCVIgiDQWMQX2WjMIlND/ol6KkUXKUTsBwsJuAYAQKpYzFqCJPgRsdYuFGkkVZoqaXTUuwvyH7+RZs5jLUES8pRerCVIggdoJI6odGCnEbHWLhBp3I95EUkG+hE5zjxR/vdkSpHGOSjHSsMdIdVCwymqNlm1apUj0XwnP/zwA9544w3odDqMGzcOOp0Ov/32Gz766CNcunQJ77//vtP+FosFU6dOxS+//ILHHnsMw4YNgyAISEtLQ1qasxNJYWEhRo4ciRs3bmDkyJFo3rw5DAYDtm7dihkzZuDSpUtOeYo9e/Zg6tSpiIqKwujRo+Hv74/Lly9j3bp12L17N9atW4fmzavfTJaeno558+bBw8MDxcVVi1+cPHkSy5cvR8OGDdG6dWscOnSo2jo40sAT2BxOPSQ+Pr7Cffr16yeBkjLunJdt1xcXF+eYi32npXjz5s0ds7JPnToFURShVquZdGZ/Orl+d9XZPqNRCa+gcZhkaKUOYC2hzvmjNIO1BE4tkkLkBttPoWUtQRJSbTQs66hYa/uq5Z/YBQA1kcIoCvzDTONcu1dFoyiKCpcUNIqi/Ii4C2UTKVo0Q/6dyQCgJFBIE0TkPuW8MYu1BElorg1hLaFece3aNSxcuBBxcXH49NNPnR6zWCz46KOPoNFosHbtWkRERAAARo8ejffeew+rV6/G448/jgceeMDxnCVLluDnn3/Gf//7X3Tv3v2e771r1y6kpaVh1qxZGDNmjGP7M888g759+2Lt2rVOeYHly5dDrVbju+++c+QBAKBDhw6YOnUqtmzZgrfeeqvaf4v33nsPTZo0QZMmTbBt27YqPbdnz544evQofH19kZqaijATJm4AAQAASURBVN69e1dbB0caeAKbw+HUGfbO7MjISMTFxSE3NxdAWQf2zZs3kZ6ejtLSUphMbCuc31mczfT9a8rjoDF/lkoHdhcVjUU8BYtQKt/ZNCsNK2YfIgETK5F5pVSg0hWYbqURhM8hcr6lwBrFDdYSJKGj4M9agiRcE+U/exYAmtpoFAsdMF1jLUESqKwRbGoajhcBBOyYr9tonGvDiIwxoNJpXlu8++67iI6OxtixY10S2H///TdycnLQrVs3R/LazrBhw7B27Vps3LjRkcAuKSnBihUr0LNnT3Tv3h2iKKKoqAienp7lxrEKC8uKv+3Oq3bc3d3h7e0No9H5t2kwGKDVauHr6+u0PSQkxPG86rJlyxb89ttv2LBhA/73v/9V+fm3J9Q59QOewOZwOHVGfHw89Ho9MjIykJmZCZvNBoPBALO5rHJbFHmQvDawEUk2UOnAPmLKZC1BEh7WVG4+TX3moIVGoiFc6clagiScNd9kLUESzDYaVumhahqW0zeInIeKiYzfoLB2pvLbtBCYVQoADaw0XAPMShoduwdRwFqCJPgo5Z8IBAAjkTEjVBL1LSD/e7I0BY313g0ihZkUXAMAVNjhu3fv3gpfY926dTh27Bg2btxY7ixre2NYeYlh+7ZTp045th0/fhyFhYVo27YtPvvsM6xfvx6FhYXw9PRE//798c9//tMp0du1a1coFArMmzcPGo0GsbGxKCwsxNq1a5GcnOySUO/WrRuWL1+Ot956Cy+88ILDQnzu3LkICwvDqFGjKjzm8rhx4wbi4+Px/PPPo2VLGuM0OTyBzeFwagl7t/Wd2JPYQFmVk70L+8yZM5LquxcNm/3NWkKNeFw1lrUESUizGlhLkAQqc5MLIf8kmYLIZxlJxGbxJpF5pQFqGp/nVSsNC3EdkSA8FecAX6X8nSDcBRohigYEOuUAoJRGnh46kcaaLw00jtOPyLWzRKRxvvVRaFhLkIRDNvk7ezRSerOWIAk5Zhqxr8ZaGm6SpajZfPqsrCzMnTsX48ePR2xsbLn7NGnSBEqlEidPnoTRaIRWe+ue4fDhwwDK5kbbuXTpEoCymdpKpRLTp09HcHAwfvrpJ2zatAlnzpzBhg0b4OZWFhuIjY3Fv/71L3z22Wd46aWXHK/j6+uLxYsX49FHH3XSM336dBQWFmLLli1OFt+dOnXC0qVLERhYvc/+ww8/hJeXF6ZNm1at53PqJzRWKxwOp865cw72nY/Z0ev12LNnj+Pft1uTsOoqSb0Qw+R9a4tBlhasJUgClcppKh31fqBhQUiB3205rCVIglGUf9EFABQTOc58IpZ1JVYanSoeRLofi601C4DVBzQKGiEKDzcaI2MugUaxkB9onIOozBLOstD43saoA1hLkISbNhprPh+F/M9DNM5AgILIKDIDgXUtAPxSiQ7rezF79mzodDpMmTLlrvv4+PhgxIgRWLt2LaZMmYJp06ZBp9Ph999/xxdffAGVSuVk811UVObSlZ+fj23btiE6OhoA0L9/fwDAtm3bsGXLFjz99NOO5+h0OjRt2hSDBw/GAw88gLy8PKxevRrTp0/Hl19+iW7dujn2ValUCAsLQ7t27TBw4ECEhITgr7/+wvLly/HSSy9h+fLlLvbiFbFnzx78+OOPWLZsWY0syDn1Dxp3hxwO574hPj7ekdC224vrdDocPHiQmaboyc2ZvXdtED2HyDKeSDerm6BkLUESjpjr9+z5yiASKUagYiGeT8Rm0SRaWUuQBCozzR/WhLGWIAmJZvl3HQGATSH/NZ+ViLW2P5FCvgLQKKKhUoBKhRAVjS7Pi2YaRahUfp8dlMEV71TPSSdSjEBlBvYDSn/WEu57duzYgX379mHFihVOXdXl8e6770KlUmHdunWOGLuXlxf0ej0+//xzWK237vPtr9W2bVtH8trOk08+iW3btuHw4cOOBPaBAwfw8ssv47333sMzzzzj2Hfw4MEYPHgw3nnnHezduxdqddn6dsaMGTh48CB27tyJoKAgAECfPn3Qtm1bTJw4EUuWLME///nPSv8dCgoK8MEHH+Dxxx93SpSXh9VqRU6O8/VNrVbDz8+v0u/Hub/gCWwOh1On6PV6GI1Gpgnqiri4+DxrCTWiP+p3Ap5DEwoz16gE4alAxaK4hEgHNpVxDWctuawlSIKZSOGFmkB3cnc1jc5kCqNUAOABgcZM8/OgkVTpLtL4PNMVNK4p1zU0ivkybTTmCVO486Sxegd0RApti0l8a6uPyWTCxx9/jG7duiE8PBzJyclOjxuNRiQnJ8PT0xOBgYHQaDR477338Prrr+PChQsQBAGxsbGwWq1499130b59e8dzQ0NDAQDBwa6FL/aEc35+vmPbsmXLYLPZMGDAAKd93d3d0aNHD3z77be4evUqmjVrhvT0dPzwww/o2bOn47XsPPLII/D09MSRI0eq9Lf4z3/+g8LCQowePdrp72DvJE9NTUVpaSkiIyORkZHhMne8S5cu+Oabb6r0npz7B/nfAXM4HCfuNqu6trEnrrOzs5GQkOC0LTc3l3nXtZygYS5EB4HIJ/qARv4B6j9KM1hL4NQiOVYiwS9G4zykJoxId5WVSGCoyEajy7PIaqx4p3pOqopGIvBRG41zUKaSxjmIyrWzgZnGcf6spjF/9gaRtW0JkTVCbzWBblYiGWwVkZiQJ5UPtJoYjUbk5OTg0KFD6Nevn8vjiYmJ6NevHwYOHIj58+c7tnt5eaFDhw6Of+/atQuiKDrNqW7Xrh0AICPDNWaVmZkJAAgIuDVmIisrCwBgs7mu6yyWsqJMe4e3fd/bO77tiKIIm81W7mP3Ij09HUajEaNGjSr38dGjRwMATp8+jaCgIKxYscLpcR8fGgV4coUnsDkcYtxrVnVtYjQaMX/+fOj1eowbNw46nQ65ubk4c+ZMnb93VanvFuKR8TQqxDWsBUiEmoiFOBXrTApEivKftwYAZlXVZjTVV2JFGvOk9ttoWE7HKGl8b60qGkkVgUA3a5Ixi7UESVBpaQSnC23yd9wBAB+Bxp1KiprG91ZD5H6sNZEZ2HkijQR2miB/Zw8qn2WYQKMDu4mFxrm2uri7u2PhwoXlPjZ9+nTExMTg1VdfRVjY3UdG5ebmYv78+fD393dK/oaHh6NLly74448/cPr0abRt29bx2OrVqwEAPXv2dGxr1qwZrl69ik2bNmHixImO7QUFBdi7dy+8vLzQpEkTAEDjxo2hUqlw7NgxXLt2DREREY79d+7ciZKSEqf3qwwTJ07EE0884bI9ISEBR48exYcffghfX1+o1WooFAp07dq1Sq/Pub/hCWwOh1NrJCUlOZLj2dll823j4+Mdndf3Y/JaDlC5waZi91poK2UtQRIOmeUfoKbynU0RaHxnUywFrCVIA5G7Ay8FjWRDlij/jl2AThdZPoHjbKGVv0MLAOQQWe9RuU9REOmWI7JEgJLI53nVWshagiS4K3jhtFygst5rq/RiLUESLqtoNONUF7Va7WLZfTsBAQFOj2/fvh2bN29Gly5dEBAQgNTUVGzYsAFFRUVYvHgxdDqd0/NnzZqFZ599FuPHj8eYMWMQHByMffv24dChQ+jevbvTa7/00ks4ePAgPv/8c/z999944IEHkJ+fj3Xr1uH69et49913odGU3V/7+fnh+eefx7Jly/DUU09h1KhRCA0NRVJSEjZs2AA/Pz+nJHhluL2j/HZ+/vlnAMCjjz7qsEWviMLCQoedeGFh2XUwKSkJixYtAgDExsaiV69eVdLHqVuorD85HI4EBAQEOGxL9Ho94uLinGzC/f39kZOTw0reXXkB9Xs+5DV1Y9YSJCHVQuMGm0rS00LA1lYkYidJpQNbqfJjLUESsm00Ep5hChqd5leIBKdLicxut4ryv3aGEOk6ygeNBHZDhQdrCZJQSOQcRIUrljzWEiRBK9AICV830bCEp2BZ50mkAHV1yQXWEiThYY9I1hJkRaNGjWCz2bBq1SoUFBRAp9Ohe/fuePnllxEVFeWyf0xMDNauXYuFCxfiu+++Q1FREcLDwzFt2jRMnDgRCsWt2GSbNm2wdu1a/N///R9+//137NixA1qtFq1atYJer0ffvn2dXnvGjBlo0qQJNmzYgJUrV8JkMiEgIACDBw/Gq6++6tSVLTX5+fkune1nz57F2bNnAQDDhg3jCez7DBqrFQ6HIwnBwcGO/4+Pj3d6TK/XY8+ePVJLqhTvLM5mLaFGDLLQsP6i0tlAJenZXCP/722SiYZFMZUO7EwbjbmsApFz7XkiwWkVke5HKsVfVI6TAlRcIBqINDofz4MnsOVEDIVZwgDOm26ylsCpRXwF+Z9vgwRP1hIkweRGozNZTeS+sy44f/68y7bWrVu7zH6uiKZNm+I///lPpfaNjY3FggULKrWvIAgYMWIERowYUSU9VWXOnDmYM2dOlZ7TsGHDcv9+nPsXnsDmcDi1hlardViI39l5bTDcv1Wv4a+uYi2hRjw270vWEiQhnUgXWUtNIGsJkkDhZsVGoFMOAA6XpLKWIAkaBY1ls8lGIwjvr6IRAKNim+mtoOEEEaCUfzdroEjjXOtBJAh/wkZj/IYngcQRABTLf/kOAIgCDSeIIrUPawmSUGgzs5YgCZ4EQvw6kUZhJpWC4hTr/Rsn5nA49w/yv7pxOJwaYZ9ffTu3J6crw/1oGy4nGhKxWkwHjQT2RXP9trSvLM0JdDZQsHoFgAiNruKdZEAWkTEGHkoaicA8IjP0jERsbdVEOs1v2EysJdQ5N9xozH1sZqOR8ISCxufZp4SGg9J/tTQKEgJAYy2kE4gcJ5G1LYUC8UsCjVFHDyrlHysBgBugUVzCuTvXr1+vcB8PDw94etIo/OSUD09gczice2I0Gh1zre3ExcU5zbq2J7irmti+X0j76nnWEmrEQrEHawmSoAQN20x3BY0g/Hmz/AtbqFi9XjPRKLpQCPIPCgF0OrCpfJ4FFhqJeioFQxSuK1Q6sGmcaQEvUf7fWQD4g0Y9MSIE+btAAIARNK4pSWYaFuKRKl/WEiTBIsj/e5sv0kh43hRpjOiiUmjLuTvdunWrcJ8pU6Zg6tSpEqjh3K/QuDvkcDjVQqvVIiUlBYBzojo7u/yZ0a1bt8aZM2ck08cpwwYaFf90jpMGl0uyWEuoc3r7NGctQRKOl6SxliAJbkSsmKkUC4WpvFlLkIRcIrPbNQK/rZULW0uvspYgCQO0UawlSAKV9bsPkUT9NZFGURQVS3gtkbXtTSJroXCl/DsUlQS6zAE6RTReCg1rCRzGVGZmd0REhARKOPcz/E6fw+HcNTkdHx/vmGl9eyd2XFyc4znZ2dlISEiAXq+HTqdD9+7dnTqx1Wo1zGYaVZKsiJG/myQAYL+KRmAoUknDajGJwM1nkukGawmcWqTQQiP4VWyhYc1XqKbxedpEGskjP7X8g7YA0EUdwlpCndNNEcBagiTchJW1BEkQiSSw00CjW667SGNm8kHQsEo3Eel+pDJP+LpN/mv4RkTGUhw0pbKWIAk6JQ1XD87d6dq1K2sJnHoAT2BzOByX5HRF2Duz7YnruLg4p0R29+7dAQC//vprvUheR0+u312Sf6zOYC1BEhZdo2Gt7Q0ax9nKsyFrCXUOlZnJVAhS0wjaurnRmLkmEknsFhAIZgJAnrmItQRJ2G9NZi2hzonS0Ehgq4m4XXQADbeLECKhtYMCjcSulcgawYNI96OCSAI7QiH/Yj4qLhCxmiDWEjgcDue+gcYqm8PhVButVutIUNuxd2bf3rl95coVPPzww7DZbFAoFPUicW3n4uLzrCXUiAnpnVlLkAQRNJKBB03prCVIgpaANR+VYMlD7vIvRgAAI5EZu54CjSKaK1Ya15R2mmDWEiThDGg4Xhis8i9IsIg0OpNfLqWR2P3ajUbC053IGIO2RAoS/hZouLSYiaxtb1ppJD0DFFrWEuocDyJpjL+JzKfvQOQ+hcPh1AwaZ34Oh1Nt4uPjAbh2Zmu1WmRkZECn0wEAYmJioNPpcPDgQVit9SvwVN87sOfGy7/SFgC+VtBINlCxUSqx1Z8iF869iRTdWEuQhD2WTNYSJMFXKf/gFyXOEgmAceRDujmftQRJOODux1qCJPS2+rKWIAn5ApGOXZFGceYlay5rCZJgJZLAthE5Tn/Iv0D8omhgLUESQlQ0ioWouNFwOJyawRPYHA6n0uj1eiQmJsJmK7sBMBgMMJnq/wDm+t6B3Z9GHAEPqmhUZ7oR6dq1KOUf6PMSadyQrTVeYi1BEoLUNAIJBhuNOZ5KIgETNyId9RoFjdtaTwJ2r01UNBKeLc00fpteNvmv9wAgX/4/TQCAmsbHiaYqHWsJkkDjrhNQCDSOtBTyT9Q/YfNjLUES/lTRKPbPEWkcJ4fDqRk07vQ5HE6Nsc+9btGihdO8bK1WC6PRiIMHDzJWSJchyjDWEiRhO5Hux9YqGrMfT5nlb/carfZjLYFTi5iI2NqqBRqJ3SJb/S/AqwwCkaAtlYIEM4HzkDdoJHYT1RbWEiQh2kol5EQjs/uzgoYlfEuBRtFiMuQ/loISzWzyr6Q5qqJRaOtGZF2rJXLfyeFwagaVuwkOh1ND4uPjodfrkZKS4rL9TvR6vcNenCe2657tNhqJXYFIjfgxUxZrCZJgJVAhfqqUxmdJBX8i9v4ikSB8jqWItQRJoHLtVClpBMBKCBRe0DgDAd1KaSTqc2gcJrIF+ReXAMBYoxdrCZLwjRuN0VVpFhrHqVO6s5YgCacJLIUsIo1VwnFTBmsJkvCQWwPWEuoFBoMBS5cuxe7du5GWlgatVouoqCiMGTMGQ4YMcez3119/YcmSJTh16hSuX7+OgIAAtGrVCi+++CIeeOABl9f966+/sGDBAhw/fhxmsxkxMTGYNGkS+vTp47JvTk4OvvjiC/z888+4fv06/Pz80KNHD0yfPh1BQUFO+x44cADfffcdzp8/j9zcXAiCgPDwcPTv3x/PPfccfHx8avw3SUpKwogRI2CxWDB37lynvwMAzJ8/H0eOHEFKSgoKCgrg5+eHpk2bYsyYMejbt2+l36cqx5KamorevXvf8/Vee+01TJ48uWoHy+EJbA6HU3ni4+OdZmEnJSU5/Ts3Nxc6nQ65ubk4c+YMC4kkoRKcVhA5TirkmOQ/v0qnpjGfPkJDw2aRirU2lXOt2UYj2UDF+t6XSHA6VCX/5FGwSCNEkS7/UaUAgAdMNDo8byjdWEuQhKsaGmuEpgKNNXwDNY1rp4rI2vaCTf7314EKGufabm7hrCVIwnkrDVePmpCVlYXnnnsOubm5GDZsGKKjo1FSUoKrV68iPT3dsd/p06cxevRo+Pn54amnnkJoaCjS09Oxbt06jB49GkuXLkW3bt0c+//111945plnoNFoMH78eOh0Omzbtg2vvvoq4uPjMXz4cMe+OTk5GDlyJNLS0jB06FC0b98eqampSEhIwG+//Yb169cjIOCWk+SFCxcAAMOHD0dwcDDMZjP+/PNPLF68GDt27MDGjRvh4VH95gCLxYKZM2dCo9HAYinf0SgxMRHNmjVD37594evri7y8POzcuRNTpkzB5MmT8dprr1XqvapyLP7+/pg7d265r7NgwQKkp6ejV69eVT9gDk9gczicqqHVah1J65KSEoedOODcec2RDm5rKy8ozLcEgFQCXWRt3BqzliAJf5SksZYgCSHqmlcK1wcyzfmsJUiCr4pGR32hlUbyqKGKxu8zUJD/GuGsWMxagiREKbSsJUhCDuT/nQWAJJSwliAJQ8w0Ep4n3eR/nwIABpHGKIMQgcb5tqPgy1pCnXNWlH+SHgAuWfJYS5CEHupQ1hLue/75z3+iqKgIW7duRVjY3cdH/u9//4PJZMKyZcsQExPj2N6nTx8MHz4c69atc0pgf/TRRygpKcH//vc/tGnTBgAwYsQIPPXUU4iPj0e/fv3g5VVWOPt///d/SE1Nxeuvv46XXnrJ8Rq9evXCs88+iwULFuCjjz5ybJ8wYQImTJjgorFp06aYN28edu/ejaFDh1b7b7J8+XJcvXoVEydOxMKFC+/697iTcePGYfjw4Vi+fDleeeUVaDQVr1GrciweHh4uneAAkJycjIyMDLRv3x7Nmzev8D05rvAENofDqRK3W4b369fP5TG9Xo89e/ZILatGfDo5mLWEGqH9jMapnMocz1ilH2sJkiB4yv/zPGuS/5xvgE4HdgGRDmwqeBHplrMRMWQuFM2sJUiCmcD4jUumm6wlSEKpJqDinWRAoZZG4ojIqRbpavmv3wE6NsVeAo04gjdozDI4Jcq/mzWQSPGXiYiz0K+W66wl3NccP34chw8fhl6vR1hYGKxWK4xGIzw9XV1CDIay4o7gYOf4dkhICADA3f3Wdyo1NRXHjh1Dly5dHMlrAFCr1Rg7diz0ej327t3rSMYePnwYAJy6sgHggQceQFRUFLZv3453330Xbm73vr8ODy9zFigoqP656sqVK/jyyy8xY8aMcv8O90KlUiEkJATnz59HaWlppRLYd6Mqx7J+/XqIooiRI0dW+/2oQ2O1wuFw6hS9Xg+jsazDJzc3F61bt3Z0YdeHGdgvmep3hfUhAsFMAFCKNDqwtSBynAQCJnkijd/mNVMuawmSYCXyeVIh2yz/IB8A+Kto2KDmWWl0PzZUyd8SvimRxG5HyP+zBIDzRDqTqXBJQaNYyJtIqDTFVsRagiSctdAoKu6ikX83aymR2BeVkU7BShqOWBXNRd67d2+52w8cOAAAiIyMxNSpU7F//36YzWYEBQXh2WefxUsvvQSlsqxAp1u3bti/fz/eeOMNTJs2zWEhvnDhQvj6+uKFF15wvO7p06cBoNy52B06dAAA/Pnnn44Etun/x8xvT4LbcXd3R3FxMf7++2+nZDgAFBUVobS0FMXFxTh37hzmzZsHtVqNf/zjH/f8e9wNURQxc+ZMxMbGYvTo0diyZUuFz8nJyXH8d9euXTh48CA6deoEb++qrcOreywWiwVbtmyBl5cXBg4cWKX35NyCxqqMw+HUCUFBQdDr9UhJSUFCQgIAuHRg+/v7Oy4YHA6nYhpZaVSIFxK4WQl2o1E5fbQklbUESfAk0rHrQWSMAYVOVgAottFINrTQBLKWIAkP2OR/XTkkFLKWIAkZAg3r3mAiFuI+RApQE0Uav88AgcaaTyCSJAsjUPwF0CmEpwCV+5QbFhpjY6q7Erp06RIAYObMmWjYsCE+/vhjAMCaNWuwcOFCZGRkOKy7n3nmGWRlZeHbb7/FU0895XiNmJgYrFu3Do0aNXJsy8zMBHCrO/t2QkNDnfYBgGbNmuHKlSs4fPgw+vTp49ienZ2Ny5cvAwAyMjJcEtgfffQRNm/e7PQ6ixYtQtOmTav+xwCwevVqnD59Ghs3boRCUbnz3cMPP+z4f7VajX79+uH999+v8ntX91j279+P69evY9SoUTWa+00dnsDmcDjVJjg4GEajEZGRkY652Hd2XNeH5PWDGteLdn0iisgMbDca99c4paRhU2wk8L09a8pmLYFTi1AZY6AUaAS/TDb5n4MAoNBCo/tRq6Hxvc1UyD+g2cdCI9FwQkVjvedGJOTUwEJjjZBI4+OEL5Hvra+Cxvn2Ouq3415lcSNQkJAHGuv3ICJW6W0U8p/bDgDxe1dX63lFRWUuGe7u7khISHBYXg8cOBCDBg3C+vXrMX78eDRp0gQKhQIhISGIjY1Fnz590KhRI1y9ehXLli3DhAkTsGrVKoftdUlJ2f1heRbadhtw+z5A2ezovXv3Yvbs2TCZTGjXrh3S09Mxd+5c2Gw2l/3tTJgwAU888QTy8vJw4sQJHDt2DHl5edX6W6Snp+Pzzz/HCy+8UKU50itWrIDVakVmZiZ27NgBk8mEoqIiBARUzfGpuseybt06AHAqKuBUHRqrMg6HU6fcPhcbuGUpbk9m+/v7w2AwOGxH7jcuLj7PWkKNGCjEspYgCUoiFcV/mmjMAWqm9mctoc6hYv1FBQ0B23uAzve2mMhMc42CxvdW/mndMq6JRtYS6pwbKhpONDoioRg1kWvKdRofJxoI8neBAIAc0HAvKRRpOEEUiTQ+T00lOxLrM41FGu4IP1oyK95JBuQQmfVdXbTaskKGxx9/3CnZrNFo8Pjjj+Orr77CkSNH0KRJE3z++edYsWIFNm/ejJiYGMe+3bp1w/DhwzF37lwsXLgQwC0r8PJi9KWlpU77AEDHjh2xcOFCfPTRR47mNUEQ0L9/f7Ru3RqrV6+Gl5eXy2tFR0cjOjoaQFnS/ccff8S0adOgVCoxaNCgKv0t3nvvPQQGBuLVV1+t0vO6du3q+P+RI0fi5ZdfxrPPPosffvgBPj4+sFqtLo13arUafn5+NT6WjIwMHDp0CK1atUKrVq2qpJvjDJFlNofDqUtun4ENACdPnkT79u3RvXt3JCUlwWazwc3N7b5NYN980Y+1hBoRMc+HtQRJCBJoWBCeIDKjqwEBa76zEFlL4NQiXgr5f2cBQE2kA9sm0vh9ehGxvs+w0bAg1AryT+5SsZw2EOkicyNSgJoM+ReXAICRSMKTSuG0kkiBSaiCRpLMSuDeM1+gUbLYVO3HWoIkGIhcU6qL3c47KCjI5TH7tvz8fJjNZqxcuRJNmjRxSl4DQPPmzdGkSRMcOXLE5XWzsrJcXtduHW7fx07fvn3Rq1cvXLx4EQUFBYiMjERISAimT58OAJWyBe/Xrx88PT3x3XffVSmBvWfPHhw8eBAffvihk7X5zZs3Hf9NTk5GcHBwuXO6b2fo0KHYv38/fvrpJwwfPhwZGRkuM8q7dOmCb775psbHsnHjRthsNt59XQvwBDaHw6k2Wq0WKSkpCA4Oxvz58x3bR48ejfnz50Ov16NFixaO7Xfai3M4VSHRcpO1BEmgMossB/K/WaFixUwFb4WatQRJKCYSSKDy+/RX0Zi1ZSDSUe+jlL/daysLjRDFNkUeawmSQCGhAgB+BAozKUGhWAgAkTQ9nUR9pk3+Y2PUBLrMASACNCzEf7XScB+sLu3bt8eaNWuQkZHh8pg9kRsQEIDc3FyYzWZYreUXR1osFqfH7LOqExMTXfY9efKk0z63o1Qqney7TSYTDh8+jEaNGjnN2L4bVqsVZrMZ+fn5Fe57O2lpaQDKurDL47PPPsNnn32GpUuX4pFHHrnna9mb7woKCgCUFQKsWLHCaR8fn4qbxCo6FpvNho0bN8LDwwODBw+u8PU494bG3SGHw6kT4uPjHfYht2OfiZ2bmwug7MJqs9ng7+9/X87EbqtdyFpCjWhp+YS1BEkIVnqyliAJwUTmHVFAJNLhSYUko2uFshxREQnaikSSKjkWGp3JYSr5J3YBwESga/eyikZ3FRXf+8GijrUESTinoGFRbAONYj4tkdSujchaKEikEfrOE+R/HjITuXimg0Zhpj+3EL8nvXv3ho+PD7Zu3YrJkyc7bLqLioqwefNmqNVqdOvWDYGBgdDpdLhy5YrDEdVOYmIirl696mSlHRERgQceeABHjx7FmTNn0Lp1awBlie5vvvkG3t7e6NWrV4X6/v3vfyMvLw96vd5p+/Xr18vtGl+zZg1MJpOTvsrQs2dPl45wADh69CgSEhIwduxYdOrUCS1btgRQ1pXu7u7uMuPbZDJhzZo1AODQ4Obm5vS3uZPqHsuhQ4eQnp6OJ598slx7dU7VoHEV53A4knDn7Ov6QtpXz7OWUCMmqbqwliAJadZC1hIkIZdA5TQANFPJP6BJJSgUoZH/ZwkA6eaqVQrXV6h0JptsNDrNC600rilUvrelNvkHpxu50ShYfNLqx1qCJMi/5KKMViKNxO4eZQFrCZxaREfEOeCYhUaXZ2t1AGsJdQ6V4pI0kcZYijCBN2/cC29vb8ycORNvvfUWRowYgREjRkAQBGzcuBFZWVmIi4tDWFgYAGDq1Kn48MMPMX78eIwaNQqNGjXC1atX8d1330GtVjusvu28++67GDNmDF588UWMGzcOOp0OW7duxdmzZ/HJJ5/A29u5OHjAgAHo1asXoqKiYDQa8dNPP+Ho0aN49tlnMXToUKd9Bw8ejA4dOqB169YICQlBfn4+jh49igMHDiA8PBxTpkyp0t8hKioKUVFRLtuLi8sKtdu0aYMBAwY4tv/xxx+YNWsW+vXrh6ioKHh5eSE9PR3ff/89UlNT8fTTT1c6iV7dY1m/fj0A4Omnn67SsXLKhyewORxOrWE0Gh1W4nfOxb6fk9qifnrFO93HZOp+Yi1BEgKIVGeGCjSOs5CAhbhGoLHMSjPnsZYgCVaRRsU/hQQZQKfTnEpil0rBkFmUfzrw59JU1hIkocgtjLUESfAjEnLyEmlYFKuJJI9yiIyluGSmMaJLpaCx5qOwEiokUhaVTOT++i+bibWE+56hQ4dCp9Nh6dKl+Oqrr2Cz2RATE4N///vfTrOXR48ejZCQEHzzzTfYsGEDioqK4Ofnh+7du+OVV15BbGys0+u2atUKa9aswfz587Fs2TKYzWbExMTgiy++QL9+/Vx0tG/fHnv27EFWVhbUajVatmyJBQsW4LHHHnPZ97nnnsNvv/2GNWvWIC8vDxqNBlFRUXjllVcwbtw4+Pr61v4f6jZiYmLQu3dvHDt2DDt27EBxcTF8fX3RsmVLvPHGGxg4cGClX6s6x3Ljxg3s378fMTExaNeuXW0eGllo3E1wOJw6wz4H2449cZ2dnY3IyEinjmx/f38YDAaYTPfXIiU+bw1rCTUirGkj1hIkId1qYC1BEm6CRrcchWTgA5pg1hIk4QoRd4RMM42uI5WSRpDPYKHR2aBV0OiuKrLS+DwpFEZNVrp2WMiRnSKNa0oekYRna9BwDrCQSJEBfkSunf5urraocsQgyr9wGgDyxPsrzlYXZFtpjMZ5WONqlyxHPImsEWrKo48+ikcffbTC/fr06YM+ffpU+nVjY2OxZMmSSu07Z86cSr/uq6++ildffbXS+1eX4cOHY/jw4S7bIyMj8fHHH9fKe1TnWAIDA3HmzJlaeX9OGfK/A+ZwOHWKfQ62Xq9HdnY2goODMX/+fMTFxTk6svV6PRITE2Gz2eDm5nbfJbDfWZzNWkKNeNwayFqCJOiUNOyFqFi5nTLV798d5xbXTLmsJUiCt4qGO0KxlUbXkUKg0S3nS8S9JKWURheZSZB/EP6wG41zULa5iLUESRimpNFp7iX/uswyaNS44a9SGvcpgSoaczndFDRC38eL5e9g8phnNGsJkrCr+DJrCZLgpaIR46udVCqHQxcaV3EOh1PnGI1GBAff6ja8vTM7IyMDLVq0AADk5uZCp9PdV5bi9d1CPDjgV9YSJOE6kdnQeaARuG2rkX/F/x+mTNYSJIHKDOwUUw5rCZJgE2l0V1FJYKeb8lhLkAQqBSaFFvmvhY6XZrCWIAmxBNZBAKAmkthV07h0kkEBGmuEQiJW6R4KDWsJktBIK//GhmIiFuJ+ahquHgUWGh31nPLJy8uD2Xzv8WVqtRp+fn7SCOLct/AENofDqRPsndkAoNPp7job+35AiF/IWkKNuD63FWsJnFqkhMj82d1F51lLqHMaaANYS5AEKjOwS6z3l3tIXWElMGMXALxVHqwlSIKCRgwebgo1awmSYFXKPxvYyy2CtQRJyBJpJI7OKmlcO2MFGgkyKoldPyJrhBwLDSeIfKv8i78AIEAp/+/tDdv9FUusK8w2+TvuAHTW75zymTp1Ko4ePXrPfbp06YJvvvlGIkWc+xWewOZwOLXGnfOwtVot4uLicPLkSUcyOzc3F5mZmfD390dODo1utrpGJNItJxDplmunln/lNABEq+XftXvOdJ21BEmg0rFL5QZbJHJ7oBRozFzTELHNpBC0BYBApfw7cq6JNBINhQRmlQJAQ8GPtQRJMAg01kI2IjOwG6l8WEuQBCoFCY2JfJ5JZvnH1yKJfJZqIuv3YALrWs7deeutt1BQUHDPfXx8aPzmOfeGxhmRw+FIwu1d1/Z/A8Do0aOdOrAB4MyZM9ILlClUAgkKGoeJE0RmQ1sh/y4ygUhQiAoikXNtvolGN46/mzdrCZJgstDo4Gio8mUtQRI8BfkX0vgTOEYA8CFynDRKhYBsgYZ7SRhozCv1ITLsOwWFrCVIwlUrjeOkUCAeAhpuF9kCt9bmyJ/WrVuzlsCpJ/AENofDqTF3dl7fSWRkJOLi4hxzrzWa+2vRGf7qKtYSakS7z+JZS5AE+ac7afGAJoS1hDrneCmNGdhUCNP4sZYgCeFEZppTKKIBAJVAIwhPIbEL0ChaPGhMZS1BEoa4NWItQRLCrDSK+W4oaRxnIpGEZzprARJBZTZ0YwWNLs8bBJw9cgQa49aKRRrHqRSplLlxOJyawBPYHA6nxtzZeV3e43b0ej0yMjKg05UFyO1JbaDMIpqFHXbaV89L/p61yUDEspYgCVQszqhwhUAlvIKIRTEVimzyDwoBdDrNqcw091fRCNoWEQlougv89l0unAcNt4sSlTtrCZLgw4PwsqJUpFHkZrCVspYgCelE7skoFPNdJzIDO9Mofzt4APD2CGMtgcPh1AP4HTCHw6lV7HOv7bOubTZbpWddU5nlXNtwm2J54aV0Yy1BEpoq5T/Lxqz0Yi1BEg6X0OiWK7bSCPKpiXTsehNJqlCZ9Z1HJKB5g0BSpbWb/B1aAKCXhcbc9nQVjfs7Khbi3W3yX78DwD7ksZYgCVoiRVHFIo1xKpGC/K8rrQQa63fQqD+Fmsh9CofDqRk0ViscDkcy7N3W9lnXOp3OqcuaU/tYCQQzAQBEFrdFRJJkf1jkP9epjVswawmSEEHEcppKIjDbYmAtQRKoFM1pFTRu94xEgtMUShapBDPzaNQKIcpM4VsLQE3jA72qoHGupWJrKxAZpxJOxELcRMBF6YJAI1biTWTWt5bImo/D4dQMGhENDofjhL1L2k52dna1Xkev18NoLOt4SUpKQqdOnWpFn9TwGdj1g46qQNYSJOG45QZrCZIQo/JjLaHOoTIDuz2Rbrl0m/yLLgAgSu3HWoIk5FhLWEuQhFCl/LtxKBFEIKBJI50CHBdoXFOCNPL/zgLAdQKzZwHAD/K3KAaA1oI3awmSYCDiHEDjKAEtgTK3UiKrhOag0WmeKMp/rByHw6k5PIHN4RDk9pnUAO46v9qeoJZ7B7W77VPWEmpEoJJGRfERc/UKLeobsWp/1hIkIY1AMpCKOwIVC/EYLY2OeipkmQtYS5AEDRFLeCrHaSSQbBhjpBG0/VNLo7gk1khjLZSlovF5muSfHwMA5Cnk38kKACUCjd+nhUBnMgAEi/IvGGprpjFu7aiGhtvFkyYaYyk4HE7N4AlsDofjgj1xnZ2djcjISHTv3h25ubnQ6W7ZxNr/LYfk9sXF51lLqBET0Jm1BElQEbEXOmWikagXCQQSBIFGlC9CTcNCPN9KY8ZurlX+xSUc+WElcE0BADOBzqNwbRFrCZKwhkgoxlNNI7FbQuM2BSmCmbUESbARuaYYifQmZ9louO5kQ/7HmaahcU0xEVjvAcB+Ion60TV8vsFgwNKlS7F7926kpaVBq9UiKioKY8aMwZAhQwAA+/btw969e3Hy5Emkp6fDzc0NUVFRGDlyJIYOHQqVqvx1565du5CQkICkpCSYTCaEhISgY8eOmDNnjouGVatWYdeuXUhNTYVGo0HDhg0xfPhwPPXUU1CrnR1ajh49iiVLluDUqVMwmUyIiorC008/jWeffRYKRc0XTT///DNeeuklAEBCQoKTI+ymTZscY03vxurVq9GxY8dafV8AWLt2LY4dO4Zz587hypUrsFqtOHDgAEJDQ6v8Xpxb0Lhr4nA4VcJoNGL+/PmIi4tz/P+gQYOQnp6OnJwc1vI4d3DFksdagiSoQSMyNFYZwVqCJJxWyn9+1fHSDNYSJOFhBQ3XgF9sNOz9w4lYiJcSmZlcItJINngI8u86AmjYax8QaXTjdKORH0OghcaBJtE4BRG5GwMiCXSyAkA+kQ5sG5Evrj8Bi/+mVhppjO9xk7UESeCjjiomKysLzz33HHJzczFs2DBER0ejpKQEV69eRXp6umO/WbNmwd3dHX369EHTpk1RWFiIHTt2YObMmdi9ezeWLFni0mDxwQcfYM2aNejZsyemT58OrVaLjIwMJCYmOu1nsVjw/PPP49y5cxg6dChGjx4Nk8mE3bt348MPP0RiYiLmzZvn2P+HH37AG2+8AZ1Oh3HjxkGn0+G3337DRx99hEuXLuH999+v0d/EYDDg/fffh4eHB4qLXYvvO3fujLlz57psLykpwezZsxEQEIC2bdvW+vsCwJIlS5Cbm4vY2FiEh4cjJSWlyu/DcYXGmZ/D4VQLrVbrONnGxMRAq9U6Zl7bsXdiy6kju77hRsQ2U0kkZJKkpDFD7y+z/Ith3BTyDyIAwDrjJdYSJMFfRWNcg1ZJ4/YgzZTLWoIk+Ku8WEuQBDfQWAtpCRxnuJknPOVEnoaGG80NgUZRVDMrjbXtZSWNz7MQNI7TJtK4rlwWDawl1DnN4cdagiRct9CYDd2AJ7Ar5J///CeKioqwdetWhIWF3XW/efPm4aGHHnJKUj///PMYO3YsDhw4gF9++QWPPvqo47EtW7Zg9erV+Oijj/DUU0/dU8PRo0dx5swZvPDCC3jrrbcc20ePHo0nn3wSO3bswOzZs+Hl5QWLxYKPPvoIGo0Ga9euRUREhGPf9957D6tXr8bjjz+OBx54oLp/EsydOxeCIGDUqFFYvny5y+MRERGO972d9evXQxRFDB8+3KVjvDbeFwBWrVqF8PBwKBQKvP322zyBXUvQiFBxOJxqER8fD71ej7i4OGRnZyM4OBjz58932kev12PPnj2MFNYO0ZObs5ZQIyLjadx4Uplv+aeZRrUthVnfRUQ6PE9b5G9XB4CImSRQYqPRsRuq9mUtQRJ8FDRmBUYoaATAKPTKJahpzKenUIwAAEECjXPQDZFGAeo1BY0xI49ZaDhBKIiEhM006migFOW/FkpU0TjX/ssUzlqCJJy20SiKqi7Hjx/H4cOHodfrERYWBqvVCqPRCE9P18L6hx9+2GWbUqnEgAEDcPz4cZw/f94pgb148WLExsY6ktcGgwEeHh7l2nsXFpYVVAQHB7u8fmBgIC5evAiNpqwy8++//0ZOTg66devmkkQeNmwY1q5di40bN1Y7gX306FGsW7cOixYtwtmzZ6v03PXr10MQBIwcObLO3re8xDmn5tBYrXA4nGoTHx8PAIiLi3Nss8/IBso6sLt37+74f96FLT0RRILwDQV31hIkIdFCw6aYAkoQiZYQoSWBogsAuCnK394fAPJsNI5TRySBnSHSmFHvR8Aq/UkLjXXtrxoaQfhIIsHpGwKNz3Ok2Zu1BEnwsFEoFwJuqGg4nCUraXyevqL8P08q9v5HtawVSEMojXp/9O7d+56P7927t9ztBw4cAABERkZi6tSp2L9/P8xmM4KCgvDss8/ipZdeglJ574LIrKwsAEBAQIBj25UrV3D16lWMHj0a//3vf7Fy5UrcvHkTbm5ueOSRR/D222+jYcOGjv0feOABeHh44L///S9CQkLQvn17lJaWYufOnTh06BCmTZvmSGCbTGXrIXd31/itfdupU6fuqfluGI1GvPvuu+jXrx969epVpQT233//jVOnTuGhhx5CZGSkZO/LqR14ApvD4VSK2+3E7XOxAecObLtViSAIEInYNN0PJJvzWEuQhExB/pZYAJ0k2TkCFuIRKhrdGxEaHWsJkkAlsasmMq5Bp6ARGaLiBKEiUjCkJnCcm4h0YLcGjUSgjkbeCK2I2KCuV9OwtW0u0Bi/oSDh6wGUEjlOM4E1ApW57Y2sNFxaSmjcdlabS5fKRrXNnDkTDRs2xMcffwwAWLNmDRYuXIiMjAx89NFHd31+ZmYm1q5dC19fX6ckuv11d+7cidLSUrz88sto3Lgxjhw5gm+//RanTp3C1q1b4e9fFpsMCgrCokWLMHv2bKfmNjc3N3zyySd48sknHduaNGkCpVKJkydPwmg0Qqu9dc99+PBhAHCa3V0VFi5ciNzcXMyaNavKz123bh0A4Omnn5b0fTm1A09gczicShEfH+90obp9e3x8PMaNG+eYhZ2ZmYnS0rJAv91qhFN3KAjcqFCCQmIXAGwEDJn/Ml1nLUESglQ0gvBUMBBJeOZbaVjfBxBJqoQTsRDXEigwoVIES8MbATivsrKWIAneBDofKdGZhqkHTrvRiCOoiYxsoHD1PG+jEV/UKmkUwkdZaFw779ZhXRFFRUUAyjqXExISHF3OAwcOxKBBg7B+/XqMHz8eTZo0Kfe5r7zyCgwGA7744gv4+fm5vG5OTg6WLVuGbt26AQD69u0LLy8vLF68GCtXrsTrr7/ueI6XlxcaN26MLl264B//+AeMRiM2b96MWbNmQRAEDB8+HADg4+ODESNGYO3atZgyZQqmTZsGnU6H33//HV988QVUKpXD0bUq/Pnnn1i1ahXef/99BAUFVem5JpMJ33//PXQ6Hfr06SPZ+3JqD57A5nA4TtzeaV3eY/Z52HeycuVKAGUd2QBw5syZOtNY21xcfJ61hBrRV4hhLUESOqlpLBYOmapXjVjf6KWR/1ynbNCwk/yjJI21BEkIUdMIJFiJdKmoBRrBzFRLPmsJkuCupnFbG0jAQjyYiDtCExpLBFxV0zjXhtGo/UKWmsZIp8NaCqlAIMJKI3l0WUnjB0phfFVbgcb9WAFoFH8lqWjcd1YXe/fy448/7kheA4BGo8Hjjz+Or776CkeOHHFJYBcVFWHSpEk4d+4cZs2ahb59+5b7usHBwY7ktZ0nn3wSixcvdnRLA8Bff/2FZ599Fs8//zzefPNNx/YnnngCzzzzDD788EP06NHD0bH97rvvQqVSYd26dY4Ro15eXtDr9fj8889htVbt+202m/HOO++gQ4cOjpndVeHHH39EXl4exo8f7/R3BMqS2/n5zvfLWq0W3t7eNX5fTu1B406fw+FUmrt1WtsfA8qfh22ffw2U2ZTYL1w5OTS6SVlC4UYFAJLFYtYSJEEg8nnmQf6BBCqfJRUKicxM1go0bg8aqDxZS5AENwWNz5MjH3JEGpndi2r5FyMAgEGgEYS3EZklHCLSuKZcFmi0YB8VaRS5+dpoFEaFKuRfYGIk4EQD0FkLmYkUTleX0NBQACi389e+7c7kq8FgwMSJE5GYmIjZs2dj1KhRLs8NCwu76+sGBwe7vO6qVatgMpkwYMAAp30VCgX69++PkydP4vTp0+jRoweAsgT7e++9h9dffx0XLlyAIAiIjY2F1WrFu+++i/bt21fyL1BGQkICLly4gEWLFjk13Nk1ZmdnIzk5GQ0aNIBarXZ5vt0+fOTIkS6PJSYm4rnnnnPaNmzYMMyZM6fG78upPWisPjkcTp1hn4dtT2QDZRdZu524QqHAjRs3GKu8N9GTm7OWUCOi57BWIA25ROxePRQ0Fj7FovwDmmqBxg02lRnYBhuNQIKSyPf2sjmXtQRJ8FfRsNYuoWJ9T+D3ebH0/r5vqC0e0tAYv+Fno9GBnaeg0bF7XSByrhXNrCVIQjMVkTU8kc/TRCAZqCaSwA4SaAwaKSLQ1FAT2rdvjzVr1iAjI8PlsczMTABAQECAY1thYSEmTJiA06dP4+OPP8aIESPKfd2YmBi4u7sjKyvL5TH7e93+unYXVpvN9RxjsVic/ns7Xl5e6NChg+Pfu3btgiiKePTRR8vVdTfS0tIgiiImT55c7uP2JrsffvgBTZs2dXosOTkZR48eRadOnVweA4DY2FisWLHCaZs9iV+T9+XULjyBzeFwqozdShwou5Ddnry2d2InJSWhoKAAJtP9H/AvUbzDWkKNMIkfsZYgCTT6VICRijDWEiThKOTfUW8S5R9EoISZQNEFQGM+PUDHQtybgOU0QMeNJlaUf3dVU7dGrCVIwu8oYC1BEjoINBL1N4h0mrez0Ci0FVQ0rilaItfOPCJjnaJF+Xeaa0Ua31kTjcPEYdHAWsJ9Te/eveHj44OtW7di8uTJ8PLyAlBmEb5582ao1WqHBXhhYSFeeOEFnD17FvHx8Rg6dOhdX1er1eKxxx7Dpk2bsGvXLqfO6oSEBABwdFMDQHR0NA4dOoRNmzahbdu2ju1msxnbt2+HUqlEmzZt7nksubm5mD9/Pvz9/cvtCr8XTz75JDp27OiyfefOndi1axemT5+OJk2aICQkxGWf9evXAyi/+xoAfH190bVr11p/X07twhPYHA6nytitxIEyC/GUlBRERkbCaDQiMzMT6enp9co63N32KWsJNaKJmkblNJXuqm8s11hLkIQOymDWEuqc46WZrCVIgtFGo6vhEfdI1hIkoYTIzLUrRGZDU5lp3kCg0Wn+p1jEWkKdoyCSUPEhUlySQaS7Ko9Ih2cBkbEUaiLnoasiDYczKl27JYL8i1CvCjSKEUqIFE7/Q/BjLeG+xtvbGzNnzsRbb72FESNGYMSIERAEARs3bkRWVhbi4uIcduDjxo3DmTNn0Lt3bwiCgK1btzq9VvPmzREbG+v4d1xcHH777Te8+eabSExMRKNGjXD06FH88MMPaNGiBcaOHevY9/nnn8fWrVuxZs0aZGZmonv37igpKcG2bdtw/vx5jB8/3imJu337dmzevBldunRBQEAAUlNTsWHDBhQVFWHx4sWO8aOVJTY21km7nQsXLgAAunTpgk6dOrk8bjabsXnzZvj6+uKxxx6r0ntW93337duHv/76CwBw/vx5AMD//vc/R/HB2LFj4e1No7izNqGx+uRwOHVGfHw89Ho9MjIyoNPp0KJFCwDAwYMHAZRdcNVq9X2d0L64+DxrCTWiv6V+W6BXFhUB20xKnDPfv+eE2qKNm/yT9ADwR0kaawmSQCU4bSSSwA5RerGWIAkmIgGwUoFGot6byIx6CvzDTMMeNI3IVzaMSGjtioLGWsidSMKTyhohVkEjWVBIoGgxj8hsaC8i671iUf5FFzVl6NCh0Ol0WLp0Kb766ivYbDbExMTg3//+NwYNGuTY78yZMwCAvXv3Yu/evS6vM2XKFKdkbHBwMNatW4eFCxdi+/btyM/PR3BwMMaPH48pU6bA3f2W61ODBg2wYcMGLFq0CL/99hsOHjwItVqNZs2alWtV3qhRI9hsNqxatQoFBQXQ6XTo3r07Xn75ZURFRdX2n+iu7N+/Hzdu3MDYsWPh5ibNunv37t3YvHmz07Zly5Y5/v+JJ57gCexqIIgiP1twOHcSFxeH+fPn1+v369evH3bv3l2t9789IQ0ASUlJTrMuCgoKIAjOVclmc/28mT127Bh0NteLe33iscZfspYgCUVEkkfpFhqWko9qwllLqHOaW2hYFC80X2QtQRLclTS65bQCDXvQUiKuHiIRS/j+moasJUjCL2bXWXVy4zEVjVEqaho/TZhpNLKSGb+RRWQGtoXI5xkh0ljbBtPI0yNJJf8DTRblP4YMAFREXCAyrDQsxH9O/Ym1BA6nXkOjpIfD4VQJe1e1fa51aGioo5pLjtR3C/FoIZS1BEk4aM1mLUESvBQ0OnI2G+q380Fl0Kk9WUvg1CJUfptFNhqdDYEqGr9PKnbMJiLJhoYqH9YS6pyDovwdWgCgL/xZS5AErfwbAgEA+TQadhFjpVHk9qeylLUESTgNGsmjZkTWfBQKaai4BhhZC5CIJio/1hI4HE49gCewORxOudjnXOv1eofdB3DLGpxz/7DXnMFagiTMsdII9M1U5rKWIAktPRqwllDnpJpofJYRmqrNMKqvXDJeZy2BU4tQ6Uz2UWhZS5CEX63y70wGgFKb/N1oOrvR6MBWEEns7hXyWUuQBE/QSOwaFTQ6sBvAveKdZICfQKMD+w8rjcKopkr5F7kRuXQiVEHjHBRJxAWCUz45OTmwWu9dlKLVarnlNocnsDkczr0xGo3QarWObux7JbIFQUB9nEpQoniHtYQaoUT97iCvLDGxN1hLkITuV+Wf2AWAG5B/ED5NyGMtgVOLBGnkHxQC6HSalxDpNKdClMqXtQRJoFB4cdiYxlqCJKQTKf66Zs5jLUESWmqCWUvg1CJaIjOwc0QaneaNlDz5IRdaEplnftRCI/bloQpgLYHDkBEjRiAt7d7r/mHDhmHOnDkSKeLcr/AENofDceJ263AAyM7ORnBwsGNGtv3x7t27Izc3F8nJyVCr1TAYDDCZ6mcwOO2r51lLqBGDhBasJUjCzgs0OnL2iqmsJXBqCZVAYwb2NSKd5i20IawlSMI1M41uuQHqcNYSJOG4SOPzvGim0V0VrPJiLaHOEQQatvcaImuEbm40zrUaIgnPJ4w0vrf/cStiLUEScq00jIqvEznf+ijk381KxUK8kMhvM11ZwloChyH/+te/UFp670Kq4GBeIMjhCWwOh3MHRqPRkawGyhLWKSkp5T6u1+uRlJQEX19feHl5wWw2Q61WIyeHRhCRIy3NiCziicS/4KWUf5dnnqWYtQRJeMi9IWsJkpBuo/F5+ihpWE4fsdFYq/gR6ai/IdC4eKaY5P+97a2NYi1BEopBIwhPxe6VxhkI+I8bjY7dUpHGN5dKwRCV3ycFgolYa18V5b/eA4AbVhr315zy6dixI2sJnHoCT2BzOJx7Eh8fj7i4OEfndXZ2ttNj48aNg053ywIvKSkJ3t7eKCwsZCG3WkRPbs5aQo2InkPjBvuMikZSRUvk0lxqk/8MPSpBISooQOPzdBdonIOMRDo4aKwQgAClB2sJkhCukr91ZqSNxjkoyELjOHNpND7iolL+61oACBdonGtvon46y1UVfyJFbjk2GoUXYYL84yW5ovzHkAGAO4FuegBooaIxToXD4dQMGndNHA6nxtg7r/V6PeLi4pCbmwudTofMzEykp6fX667ri4vPs5ZQIwagfifgOTRpppb/zcrp0izWEiQhUqQR/PrbSsMqXatQs5YgCV5EAkMpFhoW4g+raVj8/2RMZi2hzhmq8GEtQRK2qAtYS5CE/lYanycV0kQa3XJqIj27mVYa9r1U3Gi8If+KIS0Rxx0vDQ3bZC8C31kOh1NzeAKbw+FUiFardbIRB4DMzEycOXOGkSLO7SiJLOLbELnBPuYm/8QuANywyd8SnkoH9u9ErJivm+uPs0hNKLXR6GzwVtGwIDQRcLsAAIWaxvmWAnlEYpmxgvznmQPATiWNRL2HSCO0JhBxowkQaCQ8DQKNNQIVEm15rCXUOc2IFLmdMd9kLUES3IkUTnM4nJpBY5XN4XBqhN1GHAASExPRokULtGjRArm5ucjMzITNZnPMvwZQ77qx67uFeOM5NGxQzyppJBtOmlIq3kkG+Cjkb3FmsdH4bV4j0pmsUdBYNgep5W9RDAA5liLWEiShkVsAawmSkA8aQfjWbqGsJdQ5B2FgLUESultpJLDNSk/WEiShhZlG5cV2FY2CBC2RDuxQIvOES4iMjQkg0GleRGS9Z4PIWoIktFL6sZbA4XDqATQicRwOp0LKm3F9O1qtFnFxcSgpKcH8+fMdzzGbzYiMjERiYiJsNlu9S14D9d9CvD8RC3EqczypdDY0UfmyllDnjAIN66+F5ousJUhCU7dA1hI4tYiOSFEUldntFFw9AKCIwOzHPgp+rpUTrYgkdneraFhrP22iUeR2wI1GkqxIpHGcUQKNNV8R5J+opxITaqii0WlOpQCVw+HUDJ7A5nA4AG7NuLZ3Wt9JfHw8AGD06NFO2/R6PTIyMhAaGgqdToeDBw9KopdzCxURC/EHiVgQrrDRSDZQ+NYuscp/ViklLpXeYC1BEqhYTlPBX02jy5NKp0qRVf6J+uNu8ndoAYCnzR6sJUjC99pS1hKkgcYpCAYFv0+RE1YiX9y/bDTGAPkpNKwl1DkqIr/OVAuN2Be3EK+YL774Al9++eU99/nll18QEhICALBYLFi+fDk2btyItLQ0+Pn5oXfv3njttdeg0917XOHPP/+Ml156CQCQkJCATp06OR7btGkT9Hr9PZ+/evVqdOzY0fHva9eu4csvv8Svv/6KvLw8BAcHo1+/fpgyZQq8vGp+j5qVlYVBgwahsLAQ06dPxyuvvOJ4LDU1Fb17977n81977TVMnjy5Vt8XAH799Vfs3r0bSUlJOH/+PIxGI+bOnYshQ4ZU+b04ZfAENofDqRLBwc4dhfbEtr2Du3Xr1vUukV3fLcR7z6NRCX/cSiPQZ0M+awmSQKF6mkpCJUJDY257pplGIKGBxo+1BEnItdLoliu20kgehRP53lJIYIcLNBLYG9xKWEuQhBIiRVGeAo0gfKqKxto2iMhM8xswsZYgCUqBRuGFhkBy149IGqOtmoYbDZV4SU3o27cvIiMjXbanp6djwYIFaNWqlSN5DZTF5rdt24aePXvixRdfRGpqKlatWoUTJ05g7dq18PAoP65qMBjw/vvvw8PDA8XFrvfJnTt3xty5c122l5SUYPbs2QgICEDbtm0d2y9fvoxnnnkGRUVFePrpp9GsWTNcuHAB3377LY4ePYrVq1dDq63Zmn/27NmwWst3nvD39y9XLwAsWLAA6enp6NWrV62/LwB8//33+P7779G0aVPExMTg9OnT1Xofzi1onPk5HE6todVqnaqw5EC9txC31O8EfGVJUst/phMAiCa+iJcLnd3CWEuQhF9LrrGWIAk6FY05nmYicwLdiFT8G600gtPpZhrFX35K+RfzUbBABYAbNhoJ7HAiM7CDIP/ORwDwIeIU9ZtgYC1BEm4SOQ+pCSR2ASBAKf94SSGRNUIhEXv/fJHGfUpNiI2NRWxsrMv2BQsWAACeeuopx7bff/8d27ZtQ69evbB48WLH9latWmHatGlYvnw5pkyZUu77zJ07F4IgYNSoUVi+fLnL4xEREYiIiHDZvn79eoiiiOHDh0OtvnV//fnnnyMvLw+ff/45Bg8e7NjeoUMHvPHGG1i5ciVefvnliv8Ad2HHjh04cOAAZsyYgTlz5rg87uHhUW7Hc3JyMjIyMtC+fXs0b171WHpF7wsAcXFx+OCDD+Dm5oZNmzbxBHYtwBPYHA6nSsTHxzu6ru3YbcTtdiT1qftaDlCpKG5uoTFD7xCRG2wKR5loymYtgVOL5FhoBDOLLfLv8AQADxWNLk8qiXqNQOO2No+Ac8AVIt/Z1ko/1hIkwUKkuypdJOJ2AfkX0QCAlYRXFCCKNH6f16001vCNlfJ35vMCjZjQUVMGawmSEKOh0Wle21itVmzatAkeHh5OyeGtW7cCAMaPH++0f//+/REeHo6tW7eWm8A+evQo1q1bh0WLFuHs2bNV0rJ+/XoIgoCRI0c6bT98+DC0Wi0GDRrktH3gwIF45513sHHjxmonsHNycvDxxx/jueeeQ8uWLausVxRFF721+b63d8Rzagcad/ocDueeaLVapKSkOP5ttwO3wxPS9zc2Ijee59U0qm1bgsYi/pw5h7WEOscm0gh+PaVtylqCJJxFEWsJktBcoNEtlwManQ1UyBPNrCVIwulS+Qc02yppjKXobqRRgPqrlsZ9ChUb1EsKGufabDONNV9DlQ9rCZLQQFnzWauc+wMjkeISK5E4wk0bjcLp2uaXX35BVlYWnnzySadZ0qdOnYJCoUD79u1dntOhQwds374deXl58PPzc2w3Go1499130a9fP/Tq1atKCey///4bp06dwkMPPeRic24ymeDu7g7hjoYrhULhyEHk5OTA39+/0u9n55NPPoG7uzumTZuGP//8s9LPs1gs2LJlC7y8vDBw4EDJ3pdTc3gCm8PhID4+HnFxcQDKktkZGWXBsczMTNhsNpcLSk6OvBJP9X0G9idzaNgUm4jkGpZaU1lLkIRQtfwDJgVWGrZ8KQKNriNvIstmKondZBuN4HQpEQtCjUCjI6ePNoq1hDqntZnGZ3le/k6vAIAIGvWn8FbQ6EzOAI0EdmO1H2sJktBYpOFGcwaFrCVIgpZAd3IBkXVtpIZGMV8TBY3ikt69e9/z8b1791bp9datWwcAePrpp522Z2ZmQqfTQaNxHWti7wrOzMx0SmAvXLgQubm5mDVrVpU03EsHADRr1gxnz55FUlISWrRo4dielJSE/Pyy0U8ZGRlVTmAfOHAA27dvx9KlS+86z/tu7N+/H9evX8eoUaOq/NyavC+n5tCIxHE4nEpjtwfX6/UA4LAFv51Tp05Bpbp1+jCbzSgsrL83BfV9BvZAIhbiH1n8WEuQBJVC/jeeAKAT5B+5zVLwZZacyCJSIW4iMgM7QEEjaOsmUBjYAChJDKYAUkT5W4hHKeVf4AYAVwQacx/bEJkNTeMMBDS30fg8LytoJMmOiXmsJUiCO5ExIxTstf2JfJa/WfJZS5AEb4HGNaU2yc7OxoEDBxATE4N27do5PWY0GuHr61vu89zc3Bz72Pnzzz+xatUqvP/++wgKCqqSDpPJhO+//x46nQ59+vRxefzFF1/E66+/jtdeew3vvPMOmjVrhgsXLuDTTz+FWq2G2WxGSUnVGj4MBgPee+89DB48GI888kiVngvcSrjfPjdcivfl1BwaZ34Oh1Nl7pxzfTvjxo2DTqdDbm4udDodkpKS6nUCu753YEfNoZFsOEdkXqlGlP+NJwBctuSxllDnULH+ihTlX4wAAP5E5rJ6izTC8OkCjS6yWBsNS3gqyQYPAmmyZaWXWEuQhH9oI1hLkIQ0JY21UCkRC/Fok/zPQQBwWEOjaNFboLG2peLSQoFztvobd6wKXgoaid1GAo0Y37d7N9Xaa23atAlWq7XcJKxWq4XJVH6BZGlpqWMfoKwR7Z133kGHDh2qnNAFgB9//BF5eXkYP358uR3fgwYNQkFBARYsWIBJkyYBAJRKJUaNGoXs7Gzs2bPHyf68MsydOxdGoxHvvPNOlfVmZGTg0KFDaNWqFVq1auXy+PXr153+rVQqHd3hNXlfTu3AE9gcDscJvV6PxMRE2Gy3gg1yswy/k/regf2BujtrCZJwATQS9S1Q9Rkw9ZETpizWEuqcdm4hrCVIwu9WeV8j7BTYaFilexIJmAig4V6SSiRo2xg0EvVeovy/t1R+mxoCxQgAkAoa106rSCOB/asbjYSnF2gcpweBjl0AyBRpFCQEQv7JQCrr2hAFjXXtTSKjq2oLURSxYcMGaLVaDBkyxOXx0NBQXL16FSaTySWpnJWV5dgHABISEnDhwgUsWrQIKSkpjv3s9t7Z2dlITk5GgwYNoFa7XhPt3cwjR468q95nnnkGI0aMwN9//42SkhI0adIE/v7+GDFiBFQqFaKiKj8a6ezZs1i3bh0mT54Mg8EAg8HgdFz5+flITk5GQEBAuYnxjRs3wmaz3TVZ361bN6d/h4eHY9++fTV+X07twBPYHA4HQFkVVlxcHHJzcxEQEICEhATo9XonexEAyM3NxZkzZxiprBvqewf20M9pJHZbWmkkVQqJWIinqbxZS6hzjhvTWUuQhDAicwI7qYNZS5AEGikV4LytgLUESQhU0HBIoJL0PAP5z27vT2DONwCE2Wis93KJrGvzBRr3Y2bQ6KjvaKVx7cwlsugLJlLklkbAXaizKP8YAgDkEznX6mxETkK1xO+//45r165hyJAh8PFxHbnTtm1bXL58GadOnULnzp2dHktMTERkZKRj/nVaWhpEUcTkyZPLfa+4uDgAwA8//ICmTZs6PZacnIyjR4+iU6dOLo/diVqtdup4vn79OpKSktClSxe4u7tXeMx2MjIyIIoiFi1ahEWLFrk8vnLlSqxcuRKzZ8/GM8884/SYzWbDxo0b4eHhgcGDB5f7+itWrHD6t91yvSbvy6k9eAKbw+EAcLYM1+v1iIuLQ3Z2NhISEpz2GzRoELy9veu1Zfid1PcO7PFiJ9YSJOGCksbiNlykcWmOJFBVnC7QmF2VZsplLUES8pVVm9FUX/FS0gjappbScA4wudFw9XhMqNrctvpKHoFkII2QLRBhptGxq1DTKC5xI9IVmIhi1hIk4TqRsTEZBBKeANBIpFEIX0LAsY7KGiHRlsdagiS0UZQ/r5lTPuvXrwdw9xnOQ4YMwZYtW7B8+XKnBPbu3buRlpaGqVOnOrY9+eST6Nixo8tr7Ny5E7t27cL06dPRpEkThIS4ugraddyr+7o8bDYbPvroI1it1rsmzu9GmzZtsHDhQpftFy9exBdffIFBgwahX79+5dqDHzp0COnp6XjyySfv2iXdtWvXWn9fTu1BI0rO4XCqhD2ZbU9kHzx4kLGiuiX81VWsJdSIFz//mrUESWhmoREYCrDSCGheoZEjI8FD7g1ZS5CENKv8Ox8BQBBoJBvCNH6sJUiCmkhP/V8KGjbFhaL8kw2+Ao0QRbaKxro2lEii/iKN/BhGmmh0P/7gRsNy2pdISPhvgcbn6Ung87SCxjUlgkCxPwCkizTW77VBTk4O9uzZgyZNmqBTp/KbmLp27YrBgwdj+/btePnll9G7d2+kpqZi5cqViI6Oxvjx4x37xsbGIjY21uU1Lly4AADo0qVLue9jNpuxefNm+Pr64rHHHrur3szMTEyaNAm9evVCeHg48vPzsWPHDpw7dw5vvvkmunTpUqXjDwkJwYABA1y2HzlyBAAQHR1d7uPArYT7008/XaX3rO77/vXXX9i3bx8AICkpCQCwd+9epKWlAQB69epV7t+ec3fkf3XjcDj35E6b8NzcXOh0OiQlJeHGjRsMlUmHu+1T1hJqhAI0bG07C/Lp+r8XvxGw1gaAM+abrCXUOS01NH6bh0tSWUuQhMj/x957B0ZVbe/fz/RJz6SHhNBiIIIUKQoCIiAWOtIUQUBURECjX6+O14pi+AHK5aogIk2J9Cp6BQREEAERDCWRTkJ6QiZ1Mn3eP/JmyJjOJGdnztqffyDnnMx5TmbmnL33WutZRCpZfSQ0VuF1dhoV9blmGs/OQHX9LejcGX8C389fDKl1HyQCYhS1Wy6KhT9VNOrlfOw0koV+UYk/iQYASgkkCwGAUkLjc5ttoxHAvl8i/mpW8deYl0MlueReIu0aGoNdu3bBbDbXWH1dwYIFCxATE4Pt27fjgw8+gL+/P0aOHIlXXnkFXl6uJ0YcOnQIeXl5mDx5ssNmuzq8vb3RunVr7Nq1C7m5ufDy8kLnzp2xdu1a9O7d22Ud9SUvLw+HDh1CTEwMunTpIsg5k5KSqlRt7927F3v37gVQ3oecB7AbhsRut9NIX+JwGkBcXByWLFni1ucbMmQI9u3bB6BqkLoy/7QJrzi2IpANQNQV2KdOnYLGdoC1DJd4tc1q1hIEYYCRRnbmq9Ic1hIEYZkkkLWEJudFG40koBHKKNYSBOFvIraZZXYLawmCQGVx2lsq/oAnANwloVGpctVOwwmCAjIi7gjBEhqL0wVEnind7Z6sJQiCJ428C5yW05hfh4LGWCgD4n8/i4nMU9pKaNxri4mkJHx+YxNrCRyOW0MjpYfDIY7BYKgxQK7VajF16lRkZWXBZiufqeXn0+gLWYG7V2AH2sJZSxCE7Woaj6xgW/U9WcTGagK95TrYafRkJbLGh1Aii/BKiZq1BEGgksGbScSar4OZhh3z7xB/ALubgsaz824LjXHtOTmNwK6NyFOFypgvVU7jSiOJ9IYultB4P9vZxT+Gz5LQCGCXEgns+oPG+J3D4bgGjVkTh8Opkfj4eGi1WpjNZiQkJDhVa4u58royV5ZfZC3BJU6aaNjaDg6gYYP6nzJf1hIEwUxgoa+vjUbm9OemK6wlCMI96jDWEgRBKaGxkJBvoxHY9STST/iYgsb72RVBrCU0OblEki487DS+mx2s4k9YBIBCKY33k4ZvAKCyS1hLEARvItdJ5ZObKjGxltDk+BMJYxSARqDeQGBNiFM7xcXFNTrGViCTyRAQQGPdm1M9NO78HA5BpFIp4uLiAJTbhNdGRRA7Li4OOTk5iIqKgsFgQL9+/QCIP5Ad/WJ71hJcYsECGlWBeQU0MsTLVDR6dIUQsHL7XUajx25LpYa1BEEoIWJZ50dkka/ASuP7aSJiIX7dqmMtQRD8ZeLv9Z1tLmItQRBuKcTfqxQAci00ElDvVoawliAIBiLVj1RoL6Xh/JUDGk4QCog/IYHCNQKAgUwFNg9LUWf+/PnYsWNHrcdERETg4MGDAiniNEf4nYLDESmxsbEO2/CKQHZtxMfHAyi3FM/MzHT0v9bpdI5AdsXPFHpjuxOnFDQmZAFEKlWSTbdYSxAEuVL8FqFnDBmsJQjCWFVb1hIE4RJoBDxbELFKD1CIv5IVAHyIWPNdJNCWAgAUFBJMaLyVCJDSuNfKFDSCDVQsxK12Gtf5iJ1GgkmGjMb7qaLw7CRCGoE+3wDQ3yz+hEUAKKIxTeHUwowZMzBixIhaj1GpaIyZOTVDIxrA4RBHrVY7gtg86FyVdE/3/puca/EIawmCEGelMVnxlYm/dxUA/K8ombWEJidcTcPmKFVC47vZ2U7DEl5DpLiqUEpjxSRDSuMN1VlpuJdQqGZtr6JRyZpj1bOWIAi+RAL1p/Q3WUsQBKmERkLCBXsmawmCEKyk0brKaqfRA5tCIk2xhUZC8V8yGg5KKiJZiy+zFtCMiY6ORnR0NGsZnGYOD2BzOCIlOTnZEbROTk6GzVY+aK/oG5Gfn89MW3MjI8q9rQq3Wp5lLUEQnibSo+srezprCYIgJWL/RYHjZWmsJQjCYRsNtwsJke+mgkgA20akWq6DOpS1BEEIV4nf7pWKC4RJSsMedBCRSlazB40A2VVDLmsJgtDZM5y1BEEoJTK2NYPG9/NaWe2tA8WAB5HAbisFjRZdKWYaLYA4HI5r8AA2hyNSbDabk4X4kiVLoNVqYTDUXKGi0+mQlZUFm82GkpISmEwmoeQy5Z7P3XtCM3Imjaqj3yTirzoCALuNRrCBQoY4lUAgFeQSGgFPKoFdKt9PE5He7Xoi15lsyGItockZ4UmjCoOKhXgiEbvXS6XZrCUIgkxCw4rZYKeRYJJNwNUDoONw9oBXG9YSmpwrFhoBTyrJX1tlNCrqORyOa/AANodDCIPB4AhqV4dWqwUAaDQaUlbjt0b4s5bgEg+F9GctQRAmIYy1BEHYKBV/5jQAvOnVlbWEJmedNZW1BEGYoG7HWoIgGCXiT7oAgL/tJawlCEIgkSrPYiKB3Q6gYfEvU4s/8WK/gcazs6uaxri2jEggkAqhRCynPSQ0lkrbK4NYSxCEfBuNRJo/ysTfyiBQ4cNagiCst9JwOItU0HimcDgc16AxKuNwOPUiPj7eUaXdr18/x/acnBwkJCQ4fq6pkttdg95pBTGsJbiE9S4aQRUixXIoJjLBlhMo8uygoLEolEKkBzaVil01kekBlcCuzkbDpSXC7sVagiBEy8W/cNtCTSMZIdFEI2ExQEbju2kn4CwEAFmmQtYSBMGscG+HtvpCpaVTtMKftQRByJGK317bTCQpSk0kiSbN7N7tHDkcjjDQuCNyOJx6U12VtlardfTTBsqtxjUajeNfd6ezeilrCS7RRRLPWgKnEaGykEBhWUgqofFeUumB7SP3YC1BEHylNGwW9TYabVIotGsAAI2VwlMFJGbv6dZS1hIE4T4lkR67oJEsdJ3I+D1MScPWNlTmzVqCIFDpDU2lAjtQQeNzS4EyIv3pFURadHE4HNcgMAXmcDiNzfnz5wEASqVSFH2y0794hrUEl/iX/AHWEgThPtDI+P/OomAtQRA22DJZS2hyomX+rCUIwv0ekawlCMINK40+gRYilQ1BMhpVnkVEFm2/VOSzliAMBL6ebWTirzIHgEI7jcVpPwmNcS0Vsk00quVyJTTGfK1UgawlCILdTiOZL0Qq/rHtTQuNe1AbuT9rCYJQbHf/9WQOh9P08AA2h0Ocf9qB5+RUtbOrqSp7//79TtsUCgXMZhqLMc2JRHMeawmC8I0ihLUEQbCjjLUEQeigCGAtock5Y8xiLUEQuqpCWUsQhNZEgipq0MiEVxCplishUlFPpc/u36Zc1hKanGwidpLjVW1YSxCEUzYa7ycVC3Eq1xlLpEe9AlLWEgRBT8QJoogHA0WDP5Hkr0CJ+G3vG4P27dvXuO/7779HTEx5W8yK9p9JSUlITk5Gbm4uevfujbVr19b6+r///jvWrFmDxMRE6PV6BAUFoXPnzpg/fz68vcudHbZv3w6tVlvr63z33Xfo3r07AODNN9/Ejh07ajxWLpfjwoULtb5eTeTm5mLFihU4dOgQsrOz4eXlhbvuugsvvPCCUztUoNxB9j//+Q8OHDiAgoICREREYOzYsZg2bRrk8vqFRdPS0jBo0KAa958+fRpeXrdb5hw+fBgbN27ExYsXodPpIJFIEBERgUceeQRTpkyBry/v/d5QeACbwyHOP4PTFVbhlQPb1QW1ATg9GJKTk5GX556B1OgXax4MuAPtFrBWIAwjDTSSI1RqGoH6X83ZrCU0OS/IWrGWIAiZRKoaLoCGra0XkZ5reUQW+ai0MrASsUHtphJ/UMWDSEDld1sBawmCkGGm4aDEERc5FhpjvlA5DctpGiMEQE3AjrmEyLjWh0hCcYqdRvFGY9CjRw+MHz++yvbw8Nstaa5fv44vv/wSoaGhuOeee3Dw4ME6X3flypVYvHgx7rvvPsycORPe3t7Izc3FmTNnUFZW5ghg9+zZEwsXLqzy+2VlZXj//fcRGBiIzp07O7ZPmDABvXv3rnL8hQsXsG7dOgwcOLBe1/1PLl26hKlTp0Imk2HMmDFo2bIlSkpKcPnyZWRlOReQlJSU4Omnn8b169fx1FNPoX379vjjjz+wePFiXLt2DfHxDWvH+fDDD+Phhx+usl2lUjn9fPnyZQDAmDFjEBISArPZjHPnzmH58uX44YcfsG3bNnh6it8xozGhsULF4XDqjVqtRlxcnCNzC7jdA7tyz+uK/x85coSl3EahTPoWawkuESp37x7e9eVvCY0qsjQiFdh9FeKv2v3VrmctQRDuAo3e0J4EFoUAOv1KqbyfUiKV5lIal4l2dlXdB7k5Z4kkC7WT0nD16KX0Zy1BEL61/M1agiBQ6YGtJJLMR2WM0EJKY65SRKA1RQCRFkBJRNxLFBIaSYuNQcuWLTFy5Mhaj+nYsSOOHTuGwMDy9hC1VW4DwMmTJ/HJJ59g5syZjmK22s7fsmXLKtu3bNkCu92OMWPGQKG47RzQrVs3dOvWrcrxR48eBYBqg/F1YTKZ8PLLLyMwMBDr16+Hn1/tY5JVq1bhypUrePPNNzFt2jQAwLhx4+Dj44P169djzJgx6NmzZ73P3759+zrfAwCYMWMGZsyYUWV7u3btsHjxYuzbtw+jRo2q93k5PIDN4ZAiOTm5ykPpn9XVFRlIjz76aJVjs7KykJGRgfx8cfUZ9LB9zFqCS9jgVfdBIsBAY34NG5FqVgrrJWeJWIir1C1YSxCEENCwOKOymEkl47/MTiMhoZeERlAlXyJ+q3SZncY9SE+hoTmAa/YS1hIEgcr4Pd2oYy1BEPp4tWYtQRBagUaC+GkijhcmAu1USm00HJRayGkkud0DGi4QjYXZbIbRaHRURf8Tb2/vGvdVx/Lly6HRaDB79mwAQGlpKVQqVb2ttYHyALZEIsG4cePqPLaoqAh79+5FREQEHnjggXqfo4KffvoJ165dwxdffAE/Pz+YTCZYrVZ4eFSfpLRr1y54eHjgySefdNo+bdo0rF+/Hjt37mxQABsoD6KbzWYny/D6EhERAaD878BpGDyAzeGIlODg4CrbbDZblV7WNWVZhYVVtSiMjY2FTqdDx44dHdvEUIHt7uQRsTjzlNDoEzLXQmMB7FWI30JcxjOKRcUlG41FeCWRyuQcK41nZ5lN/NU4APCHgkbQ024T/xjhmukWawmCcK86vO6DRICcSFIUlXYNVMa2J/SprCUIgskjgrUEQbhpopF40VKpYS2h6ZHSSCjW2QysJQjCWan4x7UAau2fDAAHDhyo8zX27t2L3bt3w2q1wsfHBwMGDMArr7yCyMjIO9JUVlaGkydPol+/fti1axeWLVuG9PR0yOVy9OrVC2+88QY6dOhQ62tcunQJiYmJuP/++xEVFVXnOXfv3g2j0YgnnngCUmnDxxOHDx8GAGg0GkydOhUnTpyAzWZDy5Yt8eyzzzoFqvPy8pCeno5u3bpBrXZO1oqMjERwcDDOnj3boPOvWbMGX3zxBex2OwICAjBkyBC8/PLLCAgIqPb40tJSGI1G6PV6JCUlYfHixVAoFHcUvKcOD2BzOCIlJKThfXQr972uiUuXLsFkopH16C6YiXR1Gto2jbUEQZiXSqMHttwi/gWwe1Tit0mnhJdEUfdBIsCXiG1mLymNjP9LciNrCYKgItI3eaBR/Akmu9Q0FqfVRPpbhkhpVHhS4T7PuheoxUAAaIz5bthoJPMFEen1TSEJlUrxhlpKYz4WJqFh769zsT1Op06d8Mgjj6B169YwmUz4888/sWXLFhw5cgTfffcd2rVr1+DXTElJgcViQWJiIo4ePYpnn30WnTp1QlJSElauXIknn3wS27ZtQ9u2bWt8jc2bNwMo73ddHzZv3gyZTIaxY8c2WC8AXL16FQAwe/ZsdOzYEYsXL4Zer8eqVavw/vvvo7CwEDNnzgQARz/s6orzKranptYvWU0qlaJXr14YNGgQIiMjUVJSgt9++w2bNm3C0aNHsXnzZodte2U+/PBD7Nixw/HzXXfdhWXLlt3R+0UdGndEDodTIxU9rwE49bhOTU1FRkaG47iSkhLY7XbYbDZI/v8MczsRq7TmDpX34e+LVV0FxMgNFY0qz2i5P2sJTY6JSHIJFbwILAoBdKrl8qQ0vp9drOLvmQwAm+00WjYkKcR/H7JaaHw3i600qqtsoDFPocLvpSmsJQiCr5xGUCWQSGC30EqjbUwLmfjfT18ZjaSoGBmN1jhUqE+FdW1s27bN6edhw4ZhwIABeP755/Hxxx9j1apVDX7NkpLydcf8/HzMmzfPEYR++OGH0aJFC7z99tv44osv8Mknn1T7+yaTCd9//z00Gg0GDx5c5/nOnj2Lixcv4qGHHkJo6J0VepSWlicCtGrVCitXrnTEJgYPHoyHH34Yy5cvx1NPPQVfX19HcZ5SWX1irEqlQllZ/Z4NLVq0wLfffuu0bdSoUbj33nvx/vvvY+nSpZg3b16V35sxYwZGjBiBgoICnD59GqdOnUJBQUF9L5dTCdEEsM1511hLaBIUQTVnunA4jUFFz+t/8s9qbJ2u3HZJo9E4At2VA97ubCWe7um+2gGgf3A/1hIE4b9qGlVkuWYaAexiifjfzykSGvagv8tpLMLfZ6ERCDxB5P2caKTRG9pgE3/AEwDaevizliAICgIJJqGgUYGdQuReW0SkX+l5C40AGRWr9ImKVqwlCMIfEhrzTqucRmKUJ4Fk22wzjd6x0TIa7fNKIf6+7U3Fgw8+iC5duuD48eMwGo1QqRq2VlFhqy2VSjF69GinfaNGjcJ7772H48eP1/j7e/fuRUFBAaZNm1ZjkLgyW7ZsAQCMHz++QTqr0zxmzBhH8Booj1MMGjQIO3fuxF9//YX+/fs7jq3JQdZoNDr1zs7Pz4fV6vx5rK41a2WefPJJfPHFF/jll1+q3R8dHY3o6GgAwOOPP469e/di7ty5kMlkGDp0aO0Xy3FCNAFsDofTuFQEtisC2RqNBsnJyTh//jxjZY1PWkEMawkuMTSWRpBsvzWHtQRB6Kms3uJGbEgJLMLriBQdnSyjYe9/TSH+qgYAkFjE/90EgKVKL9YSBCHPWsxagiAMsNNwaVEReHb+Ys9nLUEQqNig2uw0AkcSAt9NgM517rHRcPXQSGlUmnsQaQO0v+QKawlNDpV7UBmRwO5fhkzWEtyayMhIJCYmoqCgoMFVzeHh5evIvr6+VQLQCoUCGo0GhYWFNf5+hX34uHHj6jxXaWkp9uzZg9DQUDz44IMN0lmZsLAwXLp0qdrAcsW2Cs0V1uEVVuL/JCsry+lvNnbsWKSnpzsdc/HixTo1RURE4MKFC/XSP2TIEHh5eWHjxo08gN1AeACbwyHGPyurk5OTYbOVLyzk51ddMJLJZJBKpTCbzYJpFJr7lO7dpzZ5II0Jdv4hGovTf1pusZYgCKUEKnKO22lMPFsqNawlCEIgkUU+A2hUJmdbaVQdhRKwkwSA3+061hIEIYtA5RGV1jgFRBx3fBU0koVClTTsXnMJ3IMAQGfRs5YgCKVS8c/HAMBKJJEmUhXAWkKTk2WqOaAmJort4l1/rUyYgsazs6m4ceOGI9jcUAIDAxEZGYn09HSUlZU5VSMbjUbk5+cjJCSk2t9NSUnByZMn0aNHj3r1c/7xxx+h1+sxdepUyGR37hTRpUsX/Prrr8jMrJr4ULEtKCjI8W+LFi3w999/w2AwOCqyASA9PR25ublOwfRFixbBaGyYS6TNZkNqaqrjnHVhtVphNptrTQzgVA8PYHM4xDAYDFiyZInj57i4OKefKwe4K4Lb1QW2xcSV5XVnVTVnduwdwFqCILSXslYgDL/YxG+tDQC3TOKvCvRTeLKWIAi9peJfLAGAy6BhD2olEjyiUsFhsNNISAglkmByt0r8C30pdhqBo1bqKNYSBEH8hrblnLPRWIzMpRFTwaNqGhbiZ6w0kr9MRMZCSon4l/hlEhqLQkYiSRdtZT6sJTR7KrfurMyePXtw4cIFPPTQQ/Wy8K6O0aNH47PPPsN3332HZ5991rF9w4YNsNlsGDBgQLW/V2EHXp/q64rjpVIpxo4de0c6KxgxYgSWL1+OLVu2YNy4cVAoyt01srOzceDAAfj7+6Nr165Ox3/55ZfYsGEDpk2b5ti+Zs0aAMDIkSMd27p3717jeWt6D1auXIn8/HxMnjzZaXtubm61VeIbNmyAyWRy0sipH+J5utloVDlxOI1B5SB1Tk6O07bKN+bY2Ngqv6vT6ZCVlQWj0YjiYvEHoNyBZCWNwa0JNIIqMjONSVk7j+qzOcVEgZVGwDOVQD9zALhmLmAtQRDUBBa/ADoLYL4SGv2ErxD5fp4j4F7SThnIWoIgnCHiuNNWLv6kCwC4Ukaj1RGVZ+cJSy5rCYIgA433s8hqqPsgESAn0AObCnIiibbJFnEXSzUGy5cvx+nTp3H//fcjPDwcZrMZp0+fxr59+xAcHIx///vfTscvW7bM6ef09HTHthYtWmDUqFGOfdOnT8e+ffuwaNEiXL9+HR07dkRycjK2bNmC8PBwzJkzp4oes9mMHTt2wM/PD4899lid+i9evIjExET069cPERERd/AXuE1UVBReeuklLF26FE899RSGDRuGsrIyfPfddzAYDPjggw+cKsmfe+457N27F4sWLUJ6ejrat2+PP/74A7t27cLIkSPRq1evep33nXfeQVFREbp164YWLVqgpKQEx44dw9GjRxEdHY3Zs2c7HT9s2DB069YNnTp1QmhoKAoLC3Hy5EkcPnwYERERVY7n1A2NFSqifPXVV0hKSkJSUhJSU1MhlUqRlJRU4/EWiwWrV6/Gtm3bkJ6eDn9/fwwaNAivvPLKHdlRcJovlauwtVot4uLikJOTg4SEhDp/V6vVAgA0Gk2VLKSKn48cOeL0OxKJpFnbAX78onsH0jrG0xjclkhpTLB/bcbflcZETmABzE4k6eI4kR7YCiqLQkQus8RCYzEzy06jKlAppTGtlRJY0LxkpBE48pap6z5IBJwx0mh1RAUqY1sqAU8qCQnFFhpJxW3V7r2uVR/MNhrV9GkWGuP3e5Ti/8y6yn333Ydr167h+++/h06ng91uR0REBKZOnYrnnnsOgYHOiZ9Lly51+jk1NdWxrVevXk4BbE9PT6xfvx6ff/459u3bh507d8Lf3x9PPPEE5s6dW6019qFDh5CXl4fJkydDpVLVqb+iWnv8+PENvfRqmTVrFiIiIvDNN9/g008/hVQqRadOnRAfH48HHnjA6Vhvb2989913+M9//oOffvoJGzduREREBF577TVMnz693uccMGAAdu/ejW3btqGgoAByuRxRUVGYM2cOpk2bBi8v53Y5U6ZMwbFjx7BhwwYUFBRAqVSiVatWmDVrFqZOnQo/PxrJnY2JxN6co0oNwJxzmbWEJkERctcd/2779u3h6+uL2NhYXLt2Dfn5+bUGsF9//XXs3r0bDz30EAYOHIi0tDSsW7cOUVFR2LRpEzw9aVihAlVttd3xfJVfs+L/Q4YMQceOHQGgyvni4uKgVqud+mNXR+We2SUlJTCZ3LsS5NSpU9B/Fslahkvsin+w7oNEwNdSGguaFHpDA0CmUfzZtsFE+iF2VYWyliAIp4kswlNZzPSW1j3hFgMeUgVrCYJAIbALAGoCiTRUXAPutdIIYA9U0rAo/tZKY8z3mzmbtQRBKCYSwLYRSUigkuSmkYl/zZaKw5nOXMJagiC09whjLUEQ9qT+wFoCh+PW0HiKE2X//v2IiirvrTV58uRa+xj//vvv2L17NwYOHIjly5c7tnfs2BFz587F6tWrucWByFGr1cjMzKy2ohq4Hbg2m82isw539wps78U0Fm0lNiLXKaFxnQ/7xLCW0OQkmmjYSaZbS1lLEASjjUbjRyoBbCo2i3YbjcXpHvKqfcbEyD7DDdYSmpxYIklRu5HHWoIgHDDTSKLxktAIeIbKvVlLEAQaT05ARmTeSaE3NABEyLzqPsjN8SDyXlrsvE0qh8PhVCCeO7+dRg/YhlARvK4Pu3btAgCnpvYA8MgjjyAiIgK7du3iAWw3Q61WIy4uDsDtPte1ER8fX2Vb5V7ZYWFhTsHt69evQ6/Xi6IK+63l7h1k+rdE/IFAgM4gnsp1XrcUsZbQ5FDpKxdOYLEEAErk7v2s4zjjKaVR5elL5DqPmjJZSxAEmzjM02qltcSj7oNEgJJIa5yRJhrv51pFAWsJghAspeEcUESkypNKe5xcIknF8GzBWkGTU0YkodiDyPg9kMgzhVMzpaWl0Ov1dR4XHEwjWZlTPeIJYIuUQYMG1br/wIEDjXKexMRESKVSdO3atcq+bt26Yc+ePSgoKIC/v3+jnI/T9FQOSFcEsl15jX9SEdz+Z9/rgIAAUQS13YlQO41bOZVgIBVbWzOBQD2VZAQa30zAAhrJknIi76jJTqOH3k0zjUV4Ku4lUgLXedlOw9UjWkIj+esPFY1nJ5EhAk6WpbGWIAjt1TScILItNGyKlUTaqVAI7uaZxeUGWRPBCh/WEgRBQaQFEKdmVq9ejc8//7zO4y5evCiAGk5zhUbUg1MnWVlZ0Gg0UCqrZnmFhoY6juEBbE4FtVVs/zOoXYFSqeSB7SYg2iT+ahwA+FlOY3BrsdEIeqaUiT8T/iFfGu4Ix4ksZlKpUqGQXAIA3jIaGf9UArt2ApXJVGgvoWFR/Ke15vZeYqKdzJe1BEG4VEajNzSVNiPn9OmsJQhCgYlGANtDRqOaNcOoYy2hyVHLaCQj3DTQaDNiIjLv5NTMqFGj0L17d9YyOM0cHsBu5jRWhXVdGAwG+Pn5VbtPpVI5juFwKtuKA859soHbvbLPnz9f5Xd58LppWCKlYZupsNNYMLlHEchagiAY7OLPEKfCeHU71hIEYb8li7UEQfCR0XCB8JLQWACjsjAUIfVkLUEQzAQ6s2aDxnyhm0xT90EiQPyf2HKiPUJYSxCEa4Zc1hIEoatnJGsJgtDCi4bFf46dxlqmmkCyrS9ojN+v2mhUmj9ipzEW4tRMy5Yt0bJlS9YyOM0cHsDmACjvl1xTcNFoNDqO4dCjuoA1AEfQOisrq9pgtTvx8YvuveAgW0CjuqqHnEbPk19NGawlCEI+gYz/JNYCBEKmdO97aH1pKadRRWYlEm4IltAI1AdIaEz3DplpJJiU2cQf3LXaaXgxP6puxVqCIGTAyFqCIFwmUoEdoaIRbMgn0gO7RCL+ZwoAXDfSqGaNVot/TnbdVshagiBEy/1ZSxCE80TGCBwOxzXEs6JhozHRbSrCwsJw48YNmEymKjbi2dnZjmM4NKgctM7JyUFCQoJju0ajQXJyMlJSUlBcLI6swNVw74l4KyJN106axW85DQA9lDR6rp0jEFQZIqfx3EwhMvGMlNBI5NPYxV+9AQBJdj1rCYIQJKLpXm1Eymn0CuxhF7+99jrTVdYSBIFKshBHXNiItGvooghgLUEQbtlpBLBNSvde76kvbaXiHyNcJ9IzWQ0a87EAIvMUDofjGvxOwQEAdO7cGdeuXUNiYiJ69uzptO/MmTOIiori/a8JYTAYsGTJEgBAXFxcle1arRZnzpyB0WiE3W6H2ezeVsDpnkfqPqgZ0ze4L2sJgiAl0sfzvPkWawmC0FpefdsKMXFFQsOuLtpOI7BbLKGRLFQgoWE53Qo0PrdhVhrPTqOMhoX4dYl7j7nrQ281DevePy00xnvTbOKvCASAY6wFCESWiUb1Y7KUhk3xY5Ig1hIEIUdOY8yXRSCpWE/AiQYA7oI/awmCcEpCI6GYw+G4Bg9gcwAAI0eOxM6dO7F69WqnAPa+ffuQnp6OOXPmMFTHYYlarXYEsXNycqDVapGZmYnY2FhHdXZFxbZOp3NLO/EIfT/WElyiXzsaVUcZFnFU/HPKodCjy0TEHSFFIv7FEoBnwosNjY1GYPeSzMJagiCoIGUtgdNI5BOpCHxYRiOw+4ucRjIfxJ9bAgAIVYo/ARUA/KQ02ozckNAYI5SCxnV6EJmrUIDGJ5ZOkQqHw3ENGitURNm5cycyMsp7qaanp8Nut2PZsmWO/bNmzXL8v0+fPhg2bBj27NmDmTNnYtCgQUhLS8PatWsRHR2NadOmCa6fwwatVoucnNtWzfHx8U77UlNTnSzF4+LioNPpoNFokJWVhYCAAOTn5wuumzIp5gLWEgShj5KGHXMZlaCnTfw9sB+307AfzJfSsJPkS0LiwkBkvaQUNCrqi4gs9VFJpKGAgsajE21AIxB4mLUAgWir8GctQRD0dhrPlGRrAWsJgtBO5stagiBQSJ7uJKcxvz5go7Gm2oVIpTmHw3EN0QSw7XbxP6gbyrZt23Dy5EmnbUuXLnX8v3IAGwAWLFiAmJgYbN++HR988AH8/f0xcuRIvPLKK/Dy8hJEM4c9BoMBISEhTn2wK3Pr1i306NGDgbKm44Qpm7UElxgvCWYtQRCIrPORIccs/or6P1QerCUIgoxIL7IWULKWIAh6AotfAJ3AboSdxud2vyWLtQRBeFQu/mS+XhYazkLvGM6yliAIgUoagSMq/F6awlqCIESoaPRMjpDRuN+m2WjYFAcRcA741XCTtQRBmKRsw1qCIPxhF39RA4fDcR3RBLA5Vfn2228bdLxCocALL7yAF154oYkUcdwFtVqNzMxMaDTOEzedTofY2FgAwJEj7t03ujL3KUNZS3CJdqwFCMQZSx5rCYJwr5xGL7LuKvEvwp80ZLCWIAjd1eGsJQjCLSIVnr5EKjxL7TQC2NclNOx7ZUQsCCMs4r/OT6zXWEsQhBCVP2sJgmDlhQaigorday6BRFsACJHRKFTJJtKKLAtFrCVwGokL0jLWEgSBOws1HJvNhokTJyIxMRG9e/fG2rVrHfsOHjyIAwcO4K+//kJGRgZUKhVatWqFcePGYdSoUZDLb4cB09LSMGjQoFrP9corr+DFF18EAFitVsybNw/nzp1DRkYGSkpKEBgYiA4dOmDatGm4//77q32NzZs3Y/369bhx4wY8PT3xwAMP4LXXXkOLFi0afO2lpaVYs2YNkpKSkJycjIyMDERFRWH//v3VHr99+3Zotdpq93Xs2BHbt2+v97m/+uorJCUlISkpCampqZBKpUhKSqrxeIvFgtWrV2Pbtm1IT0+Hv78/Bg0ahFdeeaVKrIVTNzyAzeFwqlDZNrwyQ4cOdcse13VxZflF1hJcIsOvI2sJgjC9kEbw6BaRJnrXCVjf24j4BkTZxZ/tDwBXiQQCzUQqsLNspawlCAIV28xIItf5u8TIWkKTM15Oo+ooR0IjiaaPkcbi9CeKNNYSBGGQMoK1BEG4YqcxRvCS0FgSjlTQ6N2ebRF/NatVQmOeUmynsSYUIfFkLcHtWLduHS5fvlztvnfeeQceHh4YPHgw2rVrh+LiYvzwww/497//jX379mHFihWQ/P+JaAEBAVi4cGG1r/Of//wHGRkZGDhwoGOb1WrF2bNn0a1bN4wYMQLe3t7IycnB7t278cwzz+Cjjz7CuHHjqrzO8uXLce+99+Ktt95Cfn4+1q1bh5MnT2Lr1q0IDW1YMZlOp8Nnn32GwMBAxMbGoqCgoF6/N3PmTLRt29Zpm7+/f4PO/cknn8DX1xexsbHQ6/V1tk7VarXYvXs3HnroITz77LNIS0vDunXrcPr0aWzatAmenvyz3xBojFY4HI7LaLVaKBQKBAUFwWazoaSkBHa7HRaLBXa7HRKJBHa7ewZrHj55ibUEl3gtfwZrCYKgVNxiLUEQrhEI7AJAqiGXtYQmZ4hPe9YSBOF3K40eXQU2GgFso43GgklrJY0eeqlW8S9mAoBSQiNIlkXg+3mdSFsKuUTKWoIgyFQ0kksKSmkEPH+wXWctQRDyTTQqdj1latYSBCFKHchagiCoCSQkSKU0xgjJBvduc1hf0mQ0Wq41Fjdv3sTSpUsRFxeHjz/+uMr+xYsX4/7773cEqQHgmWeeweTJk3H48GH8+uuvePDBBwEAnp6eGDlyZJXXSElJQWZmJrp27Yr27W+vZymVSuzYsaPK8c888wwefvhhfPnll04B7OvXr+Orr75Cx44d8e233zqqv/v164dx48bhP//5T43FczUREhKCX375BeHh5Q6AlQPstdGnTx/cd999DTrXP9m/fz+ioqIAAJMnT641gP37779j9+7dGDhwIJYvX+7Y3rFjR8ydOxerV6/G7NmzXdJDDfE83Ww0srA4HFYYDAbExsYiNTUVCQkJiIuLw5IlSwCUB7fPnDkDm80Gs9kMhUJRZzZSc+L6muGsJbjEX9Hit2IGAJOZRgW2gUi27T1eLVlLaHL+NGayliAI9xKwgweAcCI2i2rQCKpk2mhY81FJvKBCmMybtYQmx0ikP30OEYtiq9w9E5wbSqiSSIWnqZC1BEEY6hvLWoIgWIm4RVFZLf7LmMVaQpNjIdIC6EGPVqwlCIKBzLezcXj77bcRHR2NyZMnVxvA7t27d5VtMpkMjz76KP78809cvHjREcCuiS1btsBut1eppq4JLy8v+Pv7Iy/PueXjnj17YLVaMXnyZCfr8nvuuQc9e/bETz/9hA8++ABKpbJe5wHKg+gVweuGUlpaCoVC0aDzVaYieF0fdu3aBQCYNm2a0/ZHHnkEERER2LVrFw9gNxDxBLA5HE6TEx8fD61Wi7i4OOTk5ECr1cJgKF8YNRqN6Nq1q+PYK1euoFOnTjAYDE79sptjpfZ06FhLcIlYE43g0W9SGtVVHtI7G1C5G4FS8Wf8h6l4RrGY8CTSo4tG+BpOmelixpfAvRYAfKQK1hIEwYPA9P2G0X2SYF2hwEzDHcFMJNhQZjWxliAIVHpg3yDiXnKLgOU0ACik4n92AjSCuyoi472bNj1rCYLQSkojQbyuXtMHDhyo8zU2b96MU6dOYdu2bZBKGzZjz84ur+gPDKzdjcJisWDnzp3w9vbG448/Xu0xNpsNBQUFsNlsyM3NxZYtW3D16tUq1dyJiYkAgG7dulV5jW7duuHkyZO4fPkyOnZs+paYs2bNQklJ+fOuoif4tGnTnALrjUliYiKkUqlTjKSCbt26Yc+ePSgoKGiwjTllaDzFORxOo1Fh8REXFweDweCowp40aZLj/0B5VXZmZmaVntnNLXgNAKuhYS3BJT5hLYDTqJjsNCrNbc3wXtDYXLDQWITvqKBhy0elpzmVTPhWRHquZUhpVGBfNdFoM0JhjBBFxN6fyjMljEjv2etW8bfGoYQvkYRiH6V7r4PUlzRzEWsJguBFwBLeQCRZqMRmZC1BEIIkNMYIrpKdnY2FCxdi2rRp6NChQ4N+NysrC5s2bYKfn1+dgfRDhw4hNzcXEydOrLFHc0ZGhtPrqNVqjB8/Hm+++WYVzQAQFla14Kqi93VWVlaTBrDVajUee+wx9OnTB8HBwcjOzsauXbuwePFi/Pnnn1i2bFmDkwHqQ1ZWFjQaTbXV3pWvnQew6w8PYHM4nFqpqLLOyclx2q5Wq5Gamur4OSoqCnFxcY6fdTodNBoN+vXr51SBzWl8rER6BVJZ6Ask0gfohkX8FoSxRAK7UXYVawmCkAwa/S1LCATIAMCTSMa/mkhv6HtUIawlCIKSgEfCcUM6awmC0E8t/lYqlLiGnLoPEgG9PWnY2mYTaTPSkshYSEIkkcZHIv7q5D+tGawlCIKdyNqXXkIjcbo+Fda18f7770Oj0TTYdrq0tNRRffzZZ5/VGTDdvHkzAGD8+PE1HhMcHIw1a9bAbDYjLS0Nu3fvhl6vh9FohJfX7WdKWVn5c7S6IK5KVb5+VOHo2lQ8/vjjVSrJJ0yYgNdeew0//PAD/ve//2Ho0KGNfl6DwQA/v+qfO0Jdu9jgAWwOh1MrFVXWlYPTQHkldlxcnJONeOVAtVKphMlEIzuSNdcVNAa3RFoiooWERgA7WCH+DPFTJvH3IQOATCK9oeVEAoF+EhpVR/v111lLEIRQpS9rCYLgQ8QqPc3k3m1vOLcpBo1koVs2vkAnJq6YC1hLEIRQOY2xLZWEIb2VRjVrG3UwawlNjjeBKnNKJNlouCO4wg8//ICDBw9izZo1UKvr//kvLS3F888/j6SkJLzzzjt4+OGHaz0+MzMTR48eRceOHWutilapVOjTp4/j53HjxmHixIl45plnsH37digU5Yk0Hh7l65omk6mKbqOx/J7ckOtpLCQSCV566SX88MMPOHTokCOAXVBQALPZ7HRsQEAAZLKGrwGp1eoa4yEsr92dEU8A204ja4fDEYLKQel/Vl5XpqIKOyoqCgaDAf369QNQHsh2p+D1leUXWUtwiY8loawlCIKUSKX5BQuNxWkPAv2rmmPLhKYgz0qjMtmLiJ2kHu7z/HYFfwWNxWkK7RoAIJhIAFutCmItockpI+ICMdpAw71kq4rGPUhCZJ6is9AY8ymJJC1GKP1ZSxCEXCK9viMIJBVftZnrPkgEeEtpjBGo3GvvFJPJhI8++gh9+/ZFREQEUlJSnPYbDAakpKTAy8sLQUG35wglJSV47rnncObMGbz//vuYOHFinefatm0bbDZbrdXX1aFUKjF06FAsXLgQp0+fxn333Qeg3Cr70qVLyMrKQuvWrZ1+pzZ7cSFo2bLcBSk//3bLvzlz5uDkyZNOxx04cACRkZENfv2wsDDcuHEDJpOpSgU662t3V8QTwOZwOI1G5d7WFZXXarUaU6dOhUZT3iepcrX1xYvuHQCOfrE9awku8fEC8dtJAsBRIvZCVIINbaXit3LLgPht0gFglCKKtQRBuCmhEdiVE1mEp2KVToVSIu+nlYClJJXFzB1qGhWBpUSCDVTsXi12GpZYKimNpdLWUm/WEgTBIqOxjkBhbEvjTgs8IKHRnz5HIv7PrCsYDAbk5+fj6NGjGDJkSJX9Z86cwZAhQ/D444871vCLi4sxY8YMnD17Fh999BHGjh1b53lsNhu2bdsGT09PDBs27I50AkBR0e2K+s6dO+PIkSP466+/qgSwz5w5A09PT0RHRzf4XI3B9evlTmyVg/5vvPGGk36g3C79TujcuTOuXbuGxMRE9OzZ02nfmTNnEBUVxftfNxAaozIOhzhqtRpxcXEOq4o7IT4+HlqtFvv3729EZZzGoK9fLmsJgrCWiLtQmZ3GQh8FuqhouCOkgsYivJGI249CQiMpSkOgTyAAXLfRqJajkngRRKDSXEHkvbxkpZHklk+kYpcKwQoabSmipT6sJQhCmp1Gr28PCY2l7ywCleYUXNwAoExCI1TvZ6eRtHineHh4YOnSpdXue/nllxETE4OXXnoJ4eHhAMqD19OnT8eFCxcQHx+PUaNG1es8R48eRUZGBp544gl4e1ef2JSfnw9/f39Ipc5rBUVFRdi5cydkMhnuuecex/Zhw4bhyy+/xDfffINhw4ZBLi+/D587dw5//PEHRo8e7egH3VTodDpHEV4FFosFn376KQBg8ODBju2dOnVqtPOOHDkSO3fuxOrVq50C2Pv27UN6ejrmzJnTaOeiAo2nOIdDnPj4eACoNmOrLtRqNXr06OG0TWz9rdM9j9R9UDNmY9A41hIEQSalEainYheVTiCo8pQlgLUEQUiQ3WItQRDuktFYtPUAjQD2TTuNvqxD7P6sJQjCHtC4D1H4dubaaSRFFVppBI6otACiYiGea6aRUVys8GctQRDMRJIzC4jcb4NknqwlNDk2IjXYLaw0nim7iIzf7xSFQoFHH320xv2BgYFO+6dOnYrz589j0KBBkEgk2LVrl9Px7du3R4cOHaq8zpYtWwAAEyZMqPFcu3fvxrp16zB48GBERkZCpVIhNTUVu3btQl5eHl599VUnW+y2bdtixowZWLFiBSZPnoyRI0dCp9Nh7dq1CAoKwiuvvFLfP4MT69evd1RKFxcXQyqVYtmyZQAAX19fPP30045jhw8fju7duyMmJgYhISHIzs7Gjz/+iKtXr2Lo0KF19gWvzM6dO5GRkQEASE9Ph91ud5wXAGbNmuX4f58+fTBs2DDs2bMHM2fOxKBBg5CWloa1a9ciOjoa06ZNu6Nrp4x4Atg2GlZGHE5T8M+e1yEhIY598fHxjgB45WNzcnKQkJDgtE2n0+H8+fPCiufgvJLGIN7PLv6qIwBoIfFgLUEQUggEsMsoRBoA9JbSCNSXEVkw8bPT+OCWSWj0NC+l8XainYRGtRyFSvNLRhoJiy2VNOxBS23iSXqujUKLnrUEQQgj0jM50ZjNWoIgtFMGspYgCC3kNMYIeVbx34esoJF0kSynYa3tYadRUS8UFevxBw4cwIEDB6rsnz17dpUAdl5eHg4dOoSYmBh06dKlxtfu0aMHLly4gF9//RU5OTkwmUwICAhA165d8dRTT+GBBx6o8jtxcXFo0aIFEhISMH/+fHh6euKBBx7Aq6++itDQO3MrXL16NdLT0522VVSpR0REVAlgnzx5EsePH0dJSQk8PDzQvn17xMfHY/To0ZBI6j+v2rZtW5Ue2ZWr4ysHsAFgwYIFiImJwfbt2/HBBx/A398fI0eOxCuvvAIvL696n5dTjngC2BwO546prud1BZWD25X7XgOoUpntrmREuXcm+XHDCNYSBKG7nMYE20gkSBZKwAb1dymNCk8i8TGoQcPi7Jydhq1tlITGxPE8xL+YCQBdbeKvOgJoWErKiLQxKCPSG1ojo5GYmU4guQQAsk3uPW/mOEMh4AkA4TIavb4p9G7PNNGYp+TIaKwj6Ii4IzQFFy9erNe2uggKCqpXIVqnTp2waNGiBr22RCLBxIkTMXHixAbrqomDBw/W+9g33nij0c777bffNuh4hUKBF154AS+88EKjaaCM+J9uHA7HJSoHtyuoHNSuoKK3xD+D3O5Ai1T3toW1hTzIWgKnETlhymItQRCmyiJZS2hyvImYw1xXiD+gAgApEhq2tr5EKpPb22hcpw00rrOQQGAXAH6xir8qMEBOI7nEh8i91m6n8d3kiItgBY2KXSo96qk4QbRRiN/ZI1gdVvdBIiDXRiOwS6V9HofDcQ0ewOZwONVS2Sp86tSp0GjKB8PuGKCuC71yPmsJLrKPtQBBuGKnMcFuiI2NO/OnTPzBwERrDmsJgqA3iP+9BIDeHi1ZSxAEE2hkXpyW0lgYKiKyaNsN7p2MWF9yzcWsJTQ5KikNO8lrZhpjhDbqYNYSOI0IlcBuioFGK4NQlfgDngDQXkHDye08Aev7HGMBawmC0NrzzuyV3Q0q7Tc4NVNaWgq9vu7PQXAwH09ShgewORxOtVRUXsfFxSE5OdkRwG7fvj2ioqIcFdjJycmw2W73odHr9TAajW6Vbe9p+jdrCS4RKRvGWoIg3LTSsKxTSWjYFA8xir/ySKoKYS1BEKxEbO+DQCOo0tlGIxPeSCNXCAAN+141jZaI6OEhfvcSqxvNIVyhWEEjuURKxFrbTmQsROMqgUh1EGsJgqAkMu9Ms4o/+QsAwpV+rCU0OYEKGnbwd8v8WUsQBJ2cRjsVTs2sXr0an3/+eZ3H3Yk9Okc8iCeAbSeyasHhCIxarUZgYKDDRlyr1SIzM9MR0A4MDERCQoJj35kzZ6BQlC/yFxe7x0ThHX0n1hJcIq21e/ydXUVGptMuDQ6rLKwlNDlnTDSqqzoraWTD6kFjrHlZRqMCuxjivwcBgAeR3u0RdhoJJnq7+D+3V023WEsQhJYKf9YSBMFCJOQZpvRnLUEQool8bhMJVLICQL6VRiJNBJFKcz0B151rehrfzVIP8b+XANBOTuO7yamZUaNGoXv37qxlcJo54glgczicJiE+Ph5xcXFOP1dGq9U69ufk5KBbt244c+YMjEYj5HI5JBIJzObmnVX3oed51hJcYiDvgS0q9Pbm/X1pLLpZxB9sMBAJ7FLhbguNYXNLs/gDZABwVUmjMtmPRt4FzihofG5TTAWsJTQ5YQoadvD5VhptDMoIBFQAoMhC4/3MI9DGAAAMVhrtcXp5t2EtQRCsRJJQz+ozWEtockLVNAKekXIaYyEjkdZVnJpp2bIlWrak0aqNc+fQWInjcDgukZyc7BTErolbt265pa1HgOF/rCW4RIeWH7GWIAhUrLW7KmgEPfuqxV9htbywhLUEQTDYaCRdpCtpLJho1GrWEgThvDGFtQRBeEBNY0GgnU38bSkA4EWJ+N/PJaarrCUIwtOqdqwlCMIliYG1BEE4bLnOWoIgWIk4Hz7gTeP7ScPgH7hppTEna03A+r6MyLyzlEhRg4qIUxSHw3ENHsDmcDh1EhYWhiNHjrCW0WR42D5mLcElOinEP1EBgMsWHWsJgkBlIeFsYQBrCU3Oc7JA1hIEIVtJwx70OpFFeCWRdg3tifSov2krZS1BEMIl4nf1AICLBPomP6AQf5AeAI7YClhLEAQ1kcXpuzxCWUsQhCtlNNrjXCUy74xRiH8+BgCxchrXmWcXv3OAn1TFWoIg3Asf1hIE4ZKEhnsJh8NxDfEEsG00MkE5HBasXbvW8X+tVguDoXwR//r16zAYDLDZbCgpKYHdXh7EaO6W4f9kOtx7gvq7hcbCkJxIBfZFSwFrCYJwl0L8wSMzkWyEVIn4F0sAwBc0AmT5dvEHyAAgVuLNWoIgFEpoWPN52mjccC9b3XvMWh+KrDSShTQyT9YSBEFOJNhAJbArk9BIcqNSaZ5symMtQRDaKWi4KNkh/qTiIiJtKQ6AxlgoTOrFWgKHw3EDxBPA5nA4glC5B7ZWq0VmZiYAQKNxnhTodDqcP+8evaVXw70nNFFEBvFKIgFs8U87y7kkFf/ntpCI9ZcnkeoqGlcJtAON3tBn7TT6eAZIaFhrh1hpTGtbEuiJWCKlcQ+yEBnx2YhcZ7BS/N9NAMg1FbGWIAiPKiNZSxCEi3YaLi000hEAfwJjvkvmXNYSBOEhdSvWEgThLiLjdw6H4xr8TsHhcBqEVqvF/v37WctoVNI93dse/b6g3qwlCAKN5S+g1EajmrWjVfwT7E4mGp/a9R40rrOniUYIW2Wj8X5GEAgEAkCghcayrZ5GUSDUBJL5zhgyWEsQBD85jQrsMiKJtsUWGjaoEiLNjlKIVD/KiLyffkTajGTZxH8fUklpvJd60HBQypQRGcBzOByX4AFsDofTIAwGA06dOuW0rbKtOAAkJyfDZrMhPz9faHkk8ZKKPxAIAFIiE+x7VTQy/nMIpCRcVdCwzYyyi/+9BACdjMY9qFBB4zozJTQcElrIaCz0ZUosrCUIwmUCfVnbqYJYSxAEnVX8gQaAzvidSmCXioX4kZJrrCUIQjSR3u0ZRFx3rATmZC0V/qwlCMJ5Mw17fzuBzywAzHfhd7/66iskJSUhKSkJqampkEqlSEpKqvH4mzdvYsWKFThx4gSys7Ph6+uL9u3bY8qUKXjwwQcdxxmNRuzevRuHDx/G33//jZycHGg0GsTExODZZ5/F/fffX+3rm0wmfPPNN/j++++RkpICmUyGyMhIjB49GlOnTnUcd/bsWXz99df4+++/kZeXB5vNhvDwcPTv3x/Tp09HaOidP39SUlLw5Zdf4rfffkN+fj58fX3RoUMHvPrqq+jUqZPjuN9++w379u1DcnIyLl68CIPBgIULF2LkyJENOt+JEycwZcqUavf5+/vjxIkTtf7+L7/8ghdeeAEAkJCQgB49ejTo/BwRBbDtRHrUcDjNDa1Wi9TUVERFRTmC2GFhYdBoNEhMTERRUfO3GYvQ92MtwSWiWxG5/xFZMEm00JistJe7t3V/ffAj0veRCjlSGhNsKj2T0+w0gkdqIs/Oy7bmP95sDIII9E0uIOJEE0jgvQToXOd5i561BEGg0GMXAIKIWMKb7TTGfNlErO9bKP1ZS2hyzETW/qkEdu9SBLCW0Oz55JNP4Ovri9jYWOj1+loLxdLS0jBmzBgAwPjx49G6dWvcunULW7duxfPPP4+PPvoI48aNcxz79ttvo1u3bhg1ahTCwsKQlZWFjRs34plnnsH//d//4bnnnnN6/ZKSEjz77LP4+++/MXLkSEyaNAlmsxk3b95EWlqa07E3btxAaWkphg4diuDgYEilUly8eBGbNm3Cnj17sH379jsKYh8/fhwvvvgiQkJCMGHCBISFhaGwsBAXLlxAbq5zi4Hvv/8e33//Pdq1a4eYmBicPXu2weerzIQJE9C9e3enbSpV7Wt+JSUleO+99+Dp6Qm9nsZYsSkQTQCbw+E0Dmq1GqmpqQgJCanX8QaDAVFRUUhNTUVCQoLTvooe2ZX7Y+t0OqSkpKC4uPlkwbq7hfiDwe4dgOc401buz1qCIFy3Np97QFPRw04jgJ0spxFs6GFVs5YgCGYiVm4K0LhOKn12W0m9WUsQBAp2r8Wg4Y6QY6XRezZE5sVaAofTYCxEArtUnNw6eYSzliAIeVYeHBELscpA1hIEwUgkIcEV9u/fj6ioKADA5MmTaw1gb9myBUVFRfjyyy/x0EMPObaPGzcO/fv3x8aNGx0B7ICAAGzfvh0dO3Z0eo3x48dj+PDhWLp0KcaPHw8/Pz/Hvo8//hiXLl3Cxo0bERsbW6vuESNGYMSIEVW29+zZE3FxcdiyZQtmz55d9x+gEjqdDnFxcejcuTO++uqrOoPHcXFx+OCDD6BSqbB9+3aXA9hdu3ZtcPX2woULIZFIMHHiRKxevdql81OGB7A5HI4T8fHxiIuLq/O4CtvwnJwcJCQkQKvVOmwwFIpyu0qz2T0WoNy9Ajsiyj3+zq6iBhEbVCILmqFS8VfkmInMxyKJBOoLaMQ7EWKjcaF+EhoBTymR+9BvKGQtQRACCTh7UOmZTCVwJCfiAhGtrl/yt7tz1ZBb90EioJVC/E5RAOBP5D50w0KjAtuXwBghg8h7CTkNF4ieEr+6DyJORfC6PpSUlABAlYI0f39/KJVKeHh4OLZpNBqnYrMKQkJC0LNnT+zfvx/Xr19H165dAQAZGRnYuXMnJk2ahNjYWNhsNuj1enh7N2xOHRlZ3jLxToraNm7ciPz8fLz55ptQqVQwGo2QSCRQKqt/lrliU14TZWVlkEgkUKvrLm44efIkNm/ejGXLluHChQuNroUSPIDN4XDqpHKP65ycHADllddLlixxBLvj4+MRHx9fpR+2TqdDamqqwwKnOVVeV+DuFdh9gh9gLUEQxF9zVE6MjMYg/pgpg7WEJudhSf0nG+7MaRmNCuyZFho9dv8EjcCumUZMBS3NNCqwjQoa1XKekLGW0OQUEKkgM5tpfGbzZDQCZMUWGm0pqPT6puKQoJSI/5kCAP5SGi5KvgQSEs6Zmt96YlMQRiSAfdJewFqCIAwaNKjW/QcOHGiU8/Tt2xfr16/He++9h9dffx2tW7dGXl4evv76a1itVsyaNater5OdnQ0ACAy87QRw5MgRWK1WtG/fHm+99RZ++OEHGAwG+Pv7Y+TIkXj11VerDeqWlZWhrKwMRqMRV65cwSeffAIAGDBgQIOv7/Dhw/Dy8oLBYMDYsWNx7tw5AEBMTAxmz56NRx55pMGv2RDmz58PrVYLoLx16ogRIzBr1iynxIAKDAYD3n77bQwZMgQDBw7kAWwX4QFsDodTJxXBagBVqrOTk5NrrNg+csS9A8PugpyIDapUQmPBhEJgFwBkBD63ZTQ+sogiUoG9V0bjOmNMNAKexVIaX9AAG43Ei1Bp1YUDMWKE+EvqqQTI2qiDWEsQhLZSH9YSBGGv5QprCYLwgFcr1hIE4aq5gLUEQSi203C8oMI5YzZrCU2Oj5zIeM9OY/weRGT8XgZD3Qc1Ag899BC0Wi2WL1+OKVOmOLaHh4dj/fr16Ny5c52vcfDgQZw9exa9evVCy5YtHduvXr0K4HZP7rfffhteXl7YuXMn1q1bh6tXr+Lrr7+G5B/rtl9//TU+//xzx8+RkZH4f//v/6F3794Nvr6rV6/CZrNh+vTpGDhwIGbMmIFbt25h+fLlmDt3LhYtWlStbbmryOVyDBgwAP3790d4eDjy8/Px888/46uvvsKxY8ewfv36KkHspUuXQqfT4Z133ml0PRQRTwDbJv7JPIfTHKgIWFdUYoeFhTnt50FrDsc1qFhKlhKwCD0hF2aiwhGGACJtDPJlNKpx+lloVHmmS2hUHckJBHYBQEUg+YsKFiJ9H62gkRRFhd/1qawlCIKcSGXy/Qoa1vd5oNFyTaEQ/xjhhqnm/r9iwkpkjFBsp/HdbKwK6/oQHByM6Oho9O7dGx06dEB2djbWrFmD559/HqtXr8bdd99d4+9euXIFb7zxBvz8/PDxxx877SstLXcmMZlM2LBhAwICAgAAjz32GJ5++mkcPXoUv/32G/r27ev0e6NGjUL37t1RUlKCCxcu4ODBgygoKLijaystLYXVasWwYcMcldwA0Lt3bwwfPhyLFy/G8OHDqwTRXaV79+5YsWKF07axY8di8eLFWLlyJb799ls8//zzjn3nzp3DunXr8N577yE4OLhRtVBFPAFsDocjCDabzck6fO3atU77p06dCo1GA51OB41GwwPaAmAjsjAkI1KREyQTf29oALDaxf+57WijEThKltII1IfYaSxm5snE/90EgJ9lNDL+W1poPDtLiVSqXLeJP/HCTmRcGy7zYi1BEELtNJK/qBCioGFrayaSFHXaSiMYaLHTaNnQQiZ+xwsqY4QH5DSCXhmg0YpMKDZs2ID3338fK1euRP/+/R3bhwwZgsceewzvvvsutm7dWu3vXrt2DVOnToXNZsOqVaucqq8BOOzBBwwY4AheA4BEIsGYMWNw6tQpHD9+vEoAu2XLlo7XGjJkCAYNGoSJEyfCZDI5BX3rg0qlgl6vx5gxY5y2t23bFt26dcMff/yBa9euoV27dg16XQDIzc11+lkmkzldZ3XMmjULq1atwqFDhxzXYjab8dZbb6Fbt24YP358g3VwqocHsDkcToOoK3soPDwcBoMB58+fF0gRhyMuciw0eq51UNQ+GBQD58H7IYqJPAmNxa+2VhqBehWNtWnclNNY6POS0JjWtpGJP3jkL6XRriHNQqOP5zmr+C1tKZFjLmItQRC6eESwliAInkQqzfNsNIJkZQSS+dRE3OoMRJJoIom0IhOKr7/+Gl5eXk7Ba6B8Hb9Hjx44dOgQ9Ho9PD2di2auXLmCqVOnwmg0Ys2aNdVajVe4r4aEVHXuqIgTFBYW1qmxc+fOaNu2LTZu3NjgAHZ4eDiuXr1abVyiIRqq45+B94iICBw8eLDW3/H09ERgYCDy828ngyUkJODy5ctYtmwZUlNvu9ZU6MrJyUFKSgpatGgBhYInedYXGjN9DofTaFQ8rNRqNXr06FFlv0KhgMXiXgPnCH0/1hJcoh2NVmRkMBCYeAJAAIEhSIadxmLJXaBRaV4kobGQUCB+90EAgJ5IpbmKxmXiiqWAtQRBkEnE/wXVSIk8U2w03Es4HHdE/Hfacv4206jAVhB5R9so/FlLaHLSWQsQiCgiCcU/Smjcg4QiOzsbCoUCdru9io12xTq91eqclH/p0iVMnToVVqsVa9euRceOHat97a5duwIAMjMzq+zLysoCAAQGBtZLp8FguKNAc5cuXXD16lVkZmYiJibGaV+FrqCgoAa/LgCsWbPG6WeVqu7kipKSEuTl5aFVq9uL8unp6bDb7XjxxRer/Z0KN9sff/zxjirFqSKe1WMi/SE4HNao1WrExcXVaA1uNrtfD5N0T/e2Oe8f7N4BeI4znZU07KIOmTJYS2hyJshb1n2QCCiV0IiQPVZGY6x5TUFjwWSEqoC1BEE4YdCwliAIHjIaGeyBBHqal4FGIl+e8c4qRNwNHwWN1jgccUGlL2sbuT9rCYJQSuT9zLSK38lNTcRx55hU/O8lAMjsNJJLhOKuu+5CUlIS/ve//+Hxxx93bL958yZOnTqFNm3awMfndquBv//+G1OnTgUArFu3Dh06dKjxtbt3746oqCgcOnQImZmZCA8PB1AeGN+0aRMA4KGHHnIcn5ubW22l9IEDB3Dz5s0qFc/1YfTo0di+fTs2bNiA/v37O4L0Fy5cwF9//YW2bdsiKiqqwa8LAH369KlxX0WL1MrY7XYsXLgQdrsdgwcPdmx/4okn0L179yqv8b///Q8//fQTXn75ZbRt2xahoaF3pJMqNO78HA6nUdBqtTAYyqsF+vVzDpqeOHECJpOJhSyXKfukqgWKW7GAtQBhoGJTrAaN4FEXpZt/7+rBX3bx9yoFgDwbDav0H2U0rpOIYx1+tYi/jQEA5ElvsZYgCN4SGpaSagJ2rxQsUAFgiE9M3QeJgBwilebny8SfmEkJLwmNpCgZkfk1FSi8n9EKGomZVHp9B0i8WEto9uzcuRMZGeVjjIrq3mXLljn2z5o1y/H/OXPm4KWXXsK//vUvnDx5ErGxscjKysKGDRtgNBrxf//3f45jMzIy8Mwzz6CgoADPP/88Ll68iIsXLzqd+4EHHnBUNEulUsybNw/PPfccxo8fj6eeegpeXl7Ys2cPzp8/j/Hjx6NLly6O333++efh6+uLbt26oUWLFtDr9UhMTMTevXvh7++PN954o8F/i169emHs2LHYunUrnn32WQwaNAh5eXlYv3495HI53nvvPafj//77b4cNeHJyMoDyAHp6ermXw8CBA2sN2lcwY8YMBAUFoVOnTggLC0N+fj4OHDiAxMRE9OzZE5MmTXIc26FDh2pf8/Lly45rqM7NllM7PIDN4XDqjcFgwJIlS5y2VQS1Y2JioNFoHJXZCoUCNputij1JcyT6xfasJbjE84vDWEsQhIOWLNYSBKGNjcaCyUZLat0HuTl3E6mmD5fRmHhS6ctKJVmoyO6eSXcNRU4g4AkAJTYa7+e9Up+6D3Jz/gSN9hunTTR6QwfLvVlL4DQiNjuNoEogkaSoW0TGQgoC7TcAoKVU/HOyH0susZYgCE96x7KWIAgpdhpJbq6wbds2nDx50mnb0qVLHf+vHMAeOHAgvvnmG6xatQo//fQTNm/eDG9vb3Tp0gXPPfccevXq5Tj25s2bKCgoAAB89dVX1Z77m2++cbLk7t27NxISEvDZZ59h1apVMBgMaNOmDd555x2nIC4AjBs3Dvv378fWrVtRUFAAmUyGiIgIPP3003j22WfvuAJ53rx5iImJwdatW7FgwQKoVCp0794dL730UpXe3UlJSU5/KwDYu3cv9u7dC6C8r3d9AtiPPPIIDh06hA0bNqCoqAgKhQLt2rWDVqvFpEmTeC9rAeABbA6HUyMVwemcnJxqtwNATk4OEhISHNv69euHxMREyOVylJSUQCqVuqWtuDtxgEhgVyahEVS5LqXxfck3lbCW0OR4KWkkl5iIlOzqiVQF0ng3AW8iFoQFNhrBQCoB7ATTFdYSmpwOavE7tABAC7kvawmCUETkHkSFFip/1hIEIYtIUIXKszPVSMONpkhVv/6z7kwokXuQmUgFtoFI2xhX+Pbbbxt0fM+ePdGzZ886j7vvvvuqVFzXhy5duuDrr7+u87innnoKTz31VINfvy5kMhmeeeYZPPPMM3UeO2bMGIwZM8blcz7//PN4/vnnXXqNOXPmYM6cOS5roYp4Vm5szb/Kk8NxNyoqruPi4qrdDpQHs+Pi4qr0hCgpKXFbS3F3o7Xcj7UEQUizFrOWIAj3WGhk751Xi9++V0qkkvV4WRprCYLQThVU90EigEqVyi0itrZWO42UBDmRzy0FS0kPES1R1IYVNBIWvaQ0KlmpkG0qYi1BEIwKGuuL/RU0km1DPTxZSxAEC4E01FApjffysk38yf4AEEjE4YzD4bgGjdkhh8MRBHftgz0dOtYSXCIFNALYVLgsp7Fg0h7i71+lB4338n6PSNYSOI2IEjQCgVk0LhNlNhpBsmwLjSS3QG7HLBryrHrWEgTBX+bBWgKnEbnfsyVrCYKQQeT7ecBIIwm10ELj/bzbI5y1hCYn20IjsHu3kkbiNIdTXFzscHitCZlMhoAA8RfAcGqGB7A5HI5LVFRja7VaFBQUoE2bNgAAnU6HrKws2Gw2mM1mKBQKFBYWNsue2B96nmctwSUeCqHxIJcRCaoE2mn0K71sF3+wIVCqZi1BENKtpawlCEJvKY17rYWGcQDkRNpS6GU0qh97ymh8P/MJWC1eshayliAIQTIaVWRmAhWBACAh4rrzuz6VtQRBCFbQsPgPV9BIhI9Sij9xGgCCJeKvZvVR0BjX6oi036CSzMepmfnz52PHjh21HhMREYGDBw8KpIjTHOEBbA6Hc8dotVpHf+z4+Pgq+8xmMxISEjB06FCYzWZ4enqiuLj5Ba0i9P1YS3CJ6Fbit5MEAImExnVeltCwtU03iX+BOlBFI4BNJbB73O7ebh31JQA0PrdUgirZVhqVKnqZD2sJguBDoHd7rrn5zRWaAgmRANktItVyFOz9y6ERqI9W+LOWIAgWO43PbSmB5C8AKLCL33WHyrhWSWC8BwDdFLzSnDozZszAiBEjaj1GpRJ/cg6ndmjcETkcTpNgMBhw69atKj2yjxw54vh/jx49hJZFDhrTTjoLQ9csBawlCEKsMpi1hCbHTKT3bKqERoa4J5FhM5XArlpCw+2CV3mKi2RzPmsJTc5wdWvWEgThD6v430sA6KkSv6UtAPxsucpaAqcRkRNx/iqB+7V/uxNKbDSuM0gq/pYNciLj924yGq4BpUTG75yaiY6ORnR0NGsZnGaOeFbiiCwSczhCoFarkZqaipCQkDqPDQwMhFqthsFgcApcuxPu3gP7qIRG9SMVC3EbkUA9BZJNuawlCMIIZRRrCYJwyeLez4r64iGlYc2nkNB4ppQQsSA02ptfi5qmoNQqfpeW07IC1hIEoZ2MRgU2leSScKU/awmCQMUhIcdWxlqCILSWerOWIAjZNhpVuwYCY3iTjUg1vYzGdZYSGb9zOBzXEE8Am8PhNBrx8fFVqqprIiQkBAaDAWq1Gv36lVtx63Q6nD/v3Fc6IKA8yJqfT6PagMO5U6hUy3kSyJ6WEgmQUanAbiWn0SeQSm/oDCI916g4QQQSeXZGysUf9PQmYpvpRSQxs5S1AIHIItAaBwBkRMa2hTbxJwsBQKmURtsYtVTBWoIgpJnFfx8KkdNIuvhVn8JagiB09mjBWgKHw3EDaMwOORxOk1G5WnvJkiWO7VqtFgaDATqdDllZWSgqKoLJ1Dytm95ansNagks8YqdhLwQJjUX4XCuNpT61TPwB7PaKQNYSBCHKTqMn0SXQqMbRE8mEDySyaKsnYpvpKxF/1REABBG4zsOGm6wlCMI9qjDWEgTBX0IjcESl1VEvz5asJQhCFpEkNyORJLdiIm40bRTiXxe6RcQdoSuRwK6GwLiWw+G4Dg9gczicOlGr1YiLi0NOTtVA7z+rtSsC1zk5OYiKikJWVhaMRiNUKlWzDWBHv9ietQSXiPl/NKrluIW4uKDQf9ZK5L1MBY1FoUDQmGAXwMxagiAoiTxTVFIa0708IguaXjLxv58tleJfgAcABRG3C08i91oJaLyfKRbxV3gCgIGITfEtCw1rbQWRsZCMyH2IAlQCuzl2Gm4XHA7HNcTzFLfRyBzkcFgQHx8PADXaildUYWu1WqSmpiIhIQFarRaZmZnIy8sTUuodccKUzVqCS7wrd+8AfH1JtdDouWaw01gwySIQbAglUuFJBT+IP+kCAExE+pXmElkwoZL8RYXLFh1rCU0OlXYNGtCoTP7LKv7PLEd8KAkk2gKAici800dKwy0qzVLEWkKTk26k8Uzx9aLxmfUUUViKw+E0HfxOweFwXKaiCttgMCAqKgoDBw5EUZH7DJ7vU4ayluASbcw0BvEKIj3XFESCDUn6DNYSmpwg7zasJQgClWx/FY2CerQgElQh8rGFQkrjmWIgYn1PwaY43UqjIhAyGn08o2Xi79sOAAUK8SdmAnR6fceqaVj8U+kNXUqknUp3RTBrCU0OFYczfyIV2DF2nvDP4XDqhgewORxOoxIfH49Jkybh4MGDAOCoxNZoNEhOTobRaIRCoUB+fj5jpbe5svwiawku8QhoVGBTocxOw7431jOctQROI0GjXhe4IaGx+EVlYaiYyL1WZ6NRaR4i9WQtQRBaErjOJGsBawmCEEakLUUxaCSXSKlkRRHBTGR0W2ClkXihltBY+tYRGNuGymkkf1GZj12U0LgHucJXX32FpKQkJCUlITU1FVKpFElJSfX63ezsbAwdOhTFxcV4+eWXMWvWrFqPT0hIwLx58wAAhw8fRliYczJXQ7RMnjwZJ0+erPFcrVq1wr59++p1Hf8kJSUFX375JX777Tfk5+fD19cXHTp0wKuvvopOnTo5jlu7di0OHjyIa9euobCwEN7e3mjVqhXGjRuHUaNGQSarn9vKiRMnMGXKlGr3+fv748SJE9Xu+/3337FmzRokJiZCr9cjKCgInTt3xvz58+HtTeNe1ljQeIpzOBwAQHBw02VkVtiIA0BUVJTDbryiF/aZM2dgNBpRXNz8bKDdvQd2uwWsFXAaEy8pjQVNCr2+LXbxXyMA3AUamdPnQKMqkMoi/H12H9YSBOE0kQpsKsGGFnbxV8vVb0nO/ckCjaSoIiKVj7fMzW+O2xTIiDhiUXEXGqKMYC1BEG7CyFqCIPgRWOIvI2J738HuwVqCINyQ0PhuusInn3wCX19fxMbGQq/XN6gY7P3334fVWr9EwoyMDCxevBienp7Q6/Uua5k5cybGjh1bZfuRI0fw/fffY+DAgfW7iH9w/PhxvPjiiwgJCcGECRMQFhaGwsJCXLhwAbm5uU7Hnjt3DmFhYejXrx80Gg1KSkrwyy+/4K233sLx48exaNGiBp17woQJ6N69u9M2lap6u/+VK1di8eLFuO+++zBz5kx4e3sjNzcXZ86cQVlZGQ9gNxDxP904HI6DkJCQJnvtChvxiv9XULEtLCwM58+fBwDIZLJ6P0SFwN0rsAfY27GWIAgqIo8sCoFdAIiQerGW0ORQsHoFgFQii0ImW/N5bjUlVAKBN6Tir1IBACK3IQRLaPQKvErgfmu107gH0QgD0hnXUsFGJDmTSg/sDCKJNDnW6oMxYsOPSMsGCvxNpDKZW4jXzf79+xEVFQWgvKq5vgHsH374AYcPH8brr7+OBQvqrnp699130bZtW7Rt2xa7d+92WcsDDzxQ7fZNmzYBAMaNG1enpn+i0+kQFxeHzp0746uvvqoxeFzBJ598UmXb1KlT8dxzz2H37t2Ii4tDixYt6n3+rl27YuTIkXUed/LkSXzyySeYOXOmIybCcQ3xRAOITHQ5HHejojI7ISEBQLml+P79+xmrcsbdK7BbLaBx/5NJaGTCS2isC5GASvUGFYuzYCmNCXYoEVvbHNAIYAcQ6aGXbqOxOE1hLBQmE3+CGwCkW0tZSxCEPAsN9xKOuGgrEX+7BgA4acljLUEQlNxCXDRcNd5iLUEQOqvD6j5IBNBYyXSNioBxQ8jPz8dHH32EKVOm4O67767z+J07d+LYsWPYunUrvvnmm0bVUpmrV6/izz//RI8ePdCuXcMLsTZu3Ij8/Hy8+eabUKlUMBqNkEgkUCobNt+NiCh3HykqKmpQABsAysrKIJFIoFbXvDa0fPlyaDQazJ49GwBQWloKlUoFuZzGs6gp4H85DofTaKjVakydOhVZWVkoKiqCyXQ7o7dHjx4MlYkbOZkaDhp0UgSyliAIf5iyWEtocuxEqlS6qkJZSxCEKDuNCk+NTfwBMgBIk9FYMqHiBBFEJMHEg8CYL8NOo+qo2Cb+anoAuFdFYxH+sOU6awmCEKr0Yy1BEE5Ycus+SAS0kNFop1JMILALAHk28T8/gxU0PrP32GhYiP9gy2YtQRB+GTSo1v0HDhxo1PPNnz8fHh4emDt3Ls6dO1frsXl5eYiPj8czzzxTr2C3K2zduhXAnVVfA+V9ub28vGAwGDB27FjHtcXExGD27Nl45JFHqv29wsJCWK1WFBYW4ujRo9i2bRtatmzZ4CD6/PnzodVqAZS7zI4YMQKzZs2Ch8ft72tZWRlOnjyJfv36YdeuXVi2bBnS09Mhl8vRq1cvvPHGG+jQocMdXT9leACbw+E0GvHx8dBqtTCbzYiNjcWlS5eQnd38ByQnTM1fY21MRNNZwzcnqFSzhhDobwkAAwn0XDtgTGMtQRCoBHazJDQWv0plNGwzqdig3rLTsAf1ktB4dvoQsLW9bCRSESilsRRz2ij+hEVK5JqLWEsQhAilhrUEQVAR6WleTGPIhxKb+Md8ATIe2BUTMXJ/1hIE4Qrq37faVQ4fPow9e/Zg5cqV8PSs201k3rx58Pb2xty5c5tUl8lkwo4dO+Dn54fHHnvsjl7j6tWrsNlsmD59OgYOHIgZM2bg1q1bWL58OebOnYtFixZhxIgRVX5v9OjRSE9PBwBIJBL06dMH7733HhSK+s0f5XI5BgwYgP79+yM8PBz5+fn4+eef8dVXX+HYsWNYv369I4idkpICi8WCxMREHD16FM8++yw6deqEpKQkrFy5Ek8++SS2bduGtm3b3tHfgCo0Zk0cDqfR0Wq1yMnJqbK9IoidmpoKq9WKfv36Oe0/cuSIUBLrzX1K964epNEBG5AQCWAXSmj02T1DwLKOSt/HVAmNKrJbRKrlIKWxMJRNxHLag4htpprIInyWnch9iADRigDWEgTBYKcxrj1vEX/lIyXMRD63qZZi1hIEQU+kAltNYMx30UAjsBtGxO1CRcBZCGj8CuuaKCkpwbvvvothw4ahf//+dR6/f/9+7N27F6tWrXKqIm4Kfv75Z+h0OkyePLnO3tU1UVpaCqvVimHDhjn1t+7duzeGDx+OxYsXY/jw4ZD8o+XSokWLYDAYkJOTgwMHDqCwsBDFxfV//nXv3h0rVqxw2jZ27FgsXrwYK1euxLfffovnn38eQPl7AJTbuM+bNw8TJkwAADz88MNo0aIF3n77bXzxxRfV9ufm1Ix4nm42GjaAHE5zwWAwICSk+srfiiB2WloalixZ4rSvwmI8L6/5BK/KpG+xluAScskC1hIEQUokgP07AWttAPCWib9qV06gUo4SVBISzplp9JYLltPos+tPpAd2FgHbTABQE3iuPKCOZC1BEIrsFtYSBMFfKv7PLEAn0ZZKUMWHSFuKMiKB3WIzjTGClcD8OkThy1qCILSR07jXHjHQcKwTioULF8JgMOCtt+pe4y4qKsIHH3yA4cOHo2/fvk2uzVX7cABQqVTQ6/UYM2aM0/a2bduiW7du+OOPP3Dt2rUq1uDdu3d3/H/06NH48MMP8fTTT+P7779Hy5YtAQC5uc6tQ2QyGQICak82nTVrFlatWoVDhw45AtgVvbGlUilGjx7tdPyoUaPw3nvv4fjx4w24ag4gpgA2h8NpctRqNeLi4pCTk1Nj8LqC+Ph4TJo0qcr2rKwshIWFISwsDFlZWbDZbDCbzQ3KfmpsXrK9zuzcjcFR0KjgAJGFISr8XZrOWkKTE6aiYT9IhQCp+BeFACCQyKJtmrWEtQRhoFHYgFICtpkA4E+gX+nvBvGPDwDAR0bjXqsn8t2kQpapkLUEQZCraCReyIgMEhQEkr8AoI1C/HPP34uvspYgCBSS/QFgkDqKtQTRcOHCBWzevBkvvvgiSkpKHJXAFW09CwsLkZKSgsDAQHh7e+O///0viouLMWnSJKSkpDhep7S0FACQlpYGo9GIqKioKhXNDeXmzZs4duwYunbtivbt29/x64SHh+Pq1asIDg6usq9iW2Fh3eOUUaNGYf369di5cyfmzJkDAFWC+BERETh48GCtr+Pp6YnAwEDk59+2iA8PDwcA+Pr6Qql0TiRXKBTQaDT10shxhgewORxOvYmPjwcAxMXF1ev4kJAQaLVaGAwGxzaj0QiNRoPk5GQYjUYoFAqmwWsAWA33HugPktHIQk2z0rA4UxPpiTjI984Hru7COSMNizMqFBKpUjHbuauRmDARsUGlsjhdQMBCXCWl0c/cDBr32pYKf9YSBOGWlIbbRQ6RHtgeEhr3ISoV2FYi99tkAnPP1h61F9KIBaONhkuLVUrD4UwIMjMzYbfbsWzZMixbtqzK/rVr12Lt2rV4//338eSTTyIjIwMGgwETJ06s9vUqCtLOnj17x5bfFWzduhV2u92l6msA6NKlC65evYrMzEzExMQ47cvMzAQABAUF1fk6RmP5fKpyIHnNmjVOx9TnmktKSpCXl4dWrVo5tgUGBiIyMhLp6ekoKytzsmY3Go3Iz8+vsyCQUxUaq+QcDqdGaupl3Rio1WqkpqYiISHBsW3q1KnQ6XSIjY0F0Dx7YrsbNyw0srdkLmb9uQsGIpOVAgL9hO12PiETE1QCgUoigUArkaojK5GEBCq9vim0U4kkYg9qJPLdLCUSIMs0FbCWIAgyCY1np4XImC9MSqOdilFGY37tQSABLMtMY+2rm7oFawmCoCAwrhWKe+65B0uXLq2y/cqVK/jss88wdOhQDBkyBB07dgQAPPfccxgxYkSV4xMSEnDy5EnMmzcPfn5+UChcu69YrVbs2LED3t7eePzxx116rdGjR2P79u3YsGED+vfv76gMv3DhAv766y+0bdsWUVHlVf16vR52ux1eXs7PObvdjm+++QYA0K1bN8f2Pn361HhenU4Hjca58M1ut2PhwoWw2+0YPHhwFZ2fffYZvvvuOzz77LOO7Rs2bIDNZsOAAQMafvHEEc1M305kgMnhNDa19bJ2lfj4+CrV2mvXrnVUZet0OgQFBcFoNDKtwp4OHbNzNwa/unkFeX2h0luOSp9dK4HrdNVqidO8GETkXntOYqj7IBEQLKGxaHsLNIJH+XYaNsXn9RmsJTQ5MR6hrCUIQpjUo+6DRICMyPj9BvJYS+A0IlSSFnNsetYSBCFI5slagiAUEUgQ9yfyXqZaaLhdQE4jadEVdu7ciYyM8vF/enq6o8q6glmzZgEAQkND8eijj1b5/RMnTgAAoqOjnfZXDt5W5pdffgEAPPjggwgLC7sjLZU5fPgwsrOzMXHiRHh6uvb97dWrF8aOHYutW7fi2WefxaBBg5CXl4f169dDLpfjvffecxybkpKCp59+GkOGDEGbNm2g0WiQk5ODn376CZcuXUK/fv3w2GOP1eu8M2bMQFBQEDp16oSwsDDk5+fjwIEDSExMRM+ePau0T50+fTr27duHRYsW4fr16+jYsSOSk5OxZcsWhIeHO2zLOfVHNAFsDofTPFGr1ejRowdrGaJGyoNkosKHSJ/di2VZrCU0OT08W7KWIAhRdhqf2SMSGgsJZVYaAc9bRCrNfSU0bG1p1AQC3T0jWUtocsIlNHpDn7W6dwJtffElMq6lQpjSj7UEQdAQ6VFvIBKo9ydi8V9MIJnvaqn41xAAYILfPawlCMJlWwlrCc2ebdu24eTJk07bKldaVxc0bk5aNm/eDAAYP358o2iYN28eYmJisHXrVixYsAAqlQrdu3fHSy+9hM6dOzuOCw0NxahRo/Dnn3/iwIEDKCkpgY+PD2JiYjBv3jyMHTsWUmn9ZpCPPPIIDh06hA0bNqCoqAgKhQLt2rWDVqvFpEmTqlSpe3p6Yv369fj888+xb98+7Ny5E/7+/njiiScwd+7cetmcc5yR2EXib2lI/JG1hCZB3cU1ewXOnREXF4clS5aI7nyVq6Erzlex7Z/nr2l75X3JycmIjY1FcnIybDYb8vPzm0R3U3Lq1Cm0sAxiLcMlYlrTCGDLiCxPtyGShUrBOlNNJEBmJ1BNDwAdbDQWM0skNN5PvUT89yBKUFkAm2zyYS2hyfkQKawlCAIVxx0q/emLLGWsJQgClcTpSFUAawmCoCbSfsNMYN4JAJ4E3s9MCzvnRiGh0sbgLmUgawmCsCFlJ2sJHI5bI/6nG4fDaTJsNhvUajXCwsKg0Wjctp/1CVM2awkuMQXhrCVwGhElkUD9WXMuawlNTmdlMGsJgpBuLWUtQRCMUhqLXxlWGoHAKLn4A4EAQONTCwQSqfL8Sy3+4JHEKP5rBIBiMw3r3gCFN2sJnEaESksnkdT51Ik/kWdnPmi0x/nb4N7rWvXBZKPRz3yu592sJQjC9zbxrwlxOBzX4QFsDofjEgaDAWvXrq2yXavVIjMz0y0C25H+l1hLcI0QHsAWE4lmGj30ZBIagXoKRMho9BLWE8mEp9InsLuVRv/ZLBmNEPY+UzprCYJwlrUAAWip8GctQRAKzDSSv8xEnp0ccZFvofH9pDIfM9hotMeh8H76KWjMU05IaNyDqLSu4tRMcXExDIbak4xkMhkCAmg4o3CqRzwBbCKWMByOu2AwGBAeHo79+/cDACQSCZlMZqGhYt8LIhn/3RU0qnZ/N2WyltDkdLHSsJxOlNGoarASudf6ELAfBIA/ZTTsXi1Exl4qIp/bULn4E4auGm+xliAIdiLrF1QsxGk8UejMO4MVNFxaustoBASO22lUeVK43+YZC1lLEAR/VQvWEgQhg0DSBad25s+fjx07dtR6TEREBA4ePCiQIk5zhMZMn8PhMCE+Ph7x8fGOamyz2YyoqChkZpYHrrKysty2d3ZzwkZkcVpCpC/rWQuNhVsKlBKZj9FYggdaSGgkJPjZxb/4BQAlRHpgX7XTsIQPk9OwKQ6QKFlLaHJ0BIL0AKCWif+9BIAwGY3v5nkLDUt4KgnFRVYayZmHrBmsJXAakQ4q8SfCp8lozMcybTTSojRSGo5YnJqZMWMGRowYUesxKhWNdhecmuEBbA6H0+TEx8cDKLcVT01NRVRUFM6cOYPS0lKUlbEfmPWdUMBagkuoD41iLUEQJBIaCyb3yDSsJQjCZVsxawlNjheN+BikNOKdJD6zAGAjUl2lIhKop/LsvGmmUZFjIhCo11lpBALlBCrlAOCmuYC1BEGg0huaynUGE7jXAkCuhUaSm4VIK4N8m5G1hCaHSqujayYaRQ3tVEGsJXAYEx0djejoaNYyOM0cHsDmcDiNilarhcFgQE5OTpV9lauxw8LCcOmSm/eebiZQWZymwnFzNmsJgpBnKmItocnp70kjGYEKPhIFawmCYCCyyOcvpVH9WGyn0VuOyuJ0oU38VYFSIgEyKgQSCQQWWdgnZXMaj/OlN1lLEARfBQ3HizKribUEQaBwvz1fRsM1QCmlEa65ZKi6bszhcDj/RDx3RBuRMicOpxkRHFzVoshgMGDJkiWIi4ur9ncqV2NXcP78+aYRWE+ObvJnen5XGRjyIGsJgkBlQdOLSFAFSl/WCpqcQBrxFDGNJmtFDhqe8C2lNCy69KDyBaVBGyWNPp5ZBKrlyLhAEKnAVhK5To64CFb5s5YgCBR6JgOAB5H5dapR/FW7HkTab1BIRgCAAjLtNzgcjisQWXLkcDgNRa1WIzU1tdZjQkJCatyXnJyMRx99FDabDWazGcXFzdd6NULfj7UEl2jTisYivEJCI3hks9FYuKVQLXdKQSPbP8pOI+Cpk4j/MwsAaiKB+r+tNCynfYks2mZYmu84szEJJ7GgSaMiUEekx246EQtxO5HECyrXGSEXf6ItANww5bOWIAhUEqO6eUSwltDk/Fp8mbUEQeihFv97CQABcm4hzuFw6oYHsDkcTrXEx8fXWEVdH2w2Gzp27IglS5Y4bMV1Oh3zauvqSPc8wlqCS/AKbHHRRUGjiuyGTfxVZGbQcIdJlYi/3xoA+BAZNluJLPIFStWsJXAakWIrDfteCovwRhsN2/sgEskIgJ/Mg7UEQSix0EhICFf6s5YgCOkW8bc6AgA1kWrWYiIW/9ctBawlNDl3eYazliAIqVYaiZmlUhpjBA6H4xo0VuI4HI7gBAcHIzk52SkI3hyD14D7V2C3b81aAacxOWsRv/UXAFzWZ7KW0OQ87NuetQRBkBFJLrlgLWAtQRBCpJ6sJQgClV7fFgIBTwAIV/izliAIrWXiD3qeNNDob2kgEqiXEXFQogKVCmwqidOeEgVrCYJgllpYSxCEQJn4x/DJBNYQAGCo912sJQjCTRu3EOdwOHUjngC2nUaVE4fjLkRFRSEtLQ1Llixx2q7VapGamoqoqCgYDAYcOcK++vnK8ousJbjEo3YaQTIQWQCjsjDUxiOUtYQmx0tEw6zaMBDpJRwho2FrqyRiIZ5pFb8LBACEEvncSiU0qsgybDSqyCjQjkjSRYGNRjuVNCLj9ywTjfYbnTxoVHleI2IhTqF1FUDDpUUppTG/LiEyv5ZIaCQLcTgc16Bx5+dwOIITHx+PIUOGVNluMBgQFRWF48ePo2vXrmjfvn2VYHZAQADy84WbTH38Ys29vN0B2f+jEWygkgkPItdpJTApKwWNbH8qFdjZRAJHXkSqcXylNHq3F9hpWPy3loq/MhkAvCQy1hKanHRJAWsJHE6DkRAZC1G5znQLDfteK5FCoDCFH2sJglBGwNkjShXIWoIgFNlpJH+VEElya0xsNhsmTpyIxMRE9O7dG2vXrnXa//fff2PFihVITExEbm4uAgMD0bFjRzz77LO49957q7zW7t27sXHjRly/fh0mkwlhYWEYPHgwpk2bhoCA2+0Nk5KS8MMPP+D48eNIS0uDyWRCZGQkBg0ahOnTp8PX17eK1pMnTzq0mEwmtGrVChMmTMBTTz0FqdT1dexffvkFL7zwAgAgISEBPXr0cNqv1+vx5Zdf4qeffkJGRga8vb1x//3345VXXkHr1q3v+LwJCQmYN28eAODw4cMICwtz7MvPz8eiRYtw4cIFZGdnQ6/XIzg4GF26dMGMGTPQsWPHOz4vZXgAm8PhCE5FcLuiP3ZFMLtfv35ITEwUXM+haUcFP2djosRI1hI4jYiZSIZ4NoEKjvYKDWsJnEbEROS7aSGymBlEpOeaB5HpXpKFRhXZAJn43UuoQKUy+ZqJRmscjrjwIZLkRoUiK40e9Xqb+JMWvWRq1hIEQU9kjEAjJapxWbduHS5fvlztvrNnz2LSpEnw9/fH+PHjERYWhoyMDGzevBmTJk3CypUr0bdvX8fxCxYswLp163DffffhpZdeglKpxJkzZ7By5Urs27cPu3btglpd/p1buXIlfvvtNwwaNAhjxoyBRCLB8ePHsXz5cuzevRtbtmxBYODtBJMff/wRr732GjQaDaZOnQqNRoNjx47hww8/xNWrV/Hee++59HcoKSnBe++9B09PT+j1Va3oDQYDJk+ejPPnz2Pw4MF45plnoNPp8N1332HChAnYsGED2rZt2+DzZmRkYPHixTWet7i4GNevX0efPn3QokULeHh4ID09HTt27MD48ePx5Zdfol8/925jygIaKxocDqdJUKvVSE1NrfUYrVYLg+H2hCEnJwdAeY9soDyYPWnSJIfVeMXxzcFa3F2gUplMxV7ITCR4FKAQf7UclSoVKrb3SgKVj5QwEXCBAIBbVhrOAaEEekMDQLZE/NVVVMa1RQQCDQDQThXEWoIgnNfT6N1OhWIi308vKY32G/mWUtYSBCFEUbUCUmzcMtNoASSX8nknpyo3b97E0qVLERcXh48//rjK/m+++QYmkwmrVq1CTEyMY/vgwYMxZswYbN682RHALisrw3fffYd77rkH69atc6y3Tpw4ET4+Pvj2229x/PhxDBgwAADw9NNPIz4+3hHQBoCnnnoKn376KVasWIFVq1bhX//6FwDAYrHgww8/hFKpxKZNm9CyZUsAwKRJk/Duu+/iu+++w/Dhw6tUhDeEhQsXQiKRYOLEiVi9enWV/Zs2bcL58+cxYcIER7U0AIwcORLDhg3DRx99VO3v1cW7776Ltm3bom3btti9e3eV/a1atcLGjRurbH/yySfx0EMPYeXKlTyAfQfwADaHw7lj4uPjERcXV+P+4OBgGAwGpz7YFcdHRUUhLi4OOp0Ot27dQp8+fWAysckyvL5mOJPzNhbRrVgrEAYZkb6sVKzcVBLxD0EsoPFeUrEQt9tpBOo1UhqVDVYiiRdUuEXE4l/ZCHZ7zZ3WShruJdlEAio3iPTYpZLMR+U6/YmMhW4YaTgkqKU02uOYbOJvX1VkoTHeu9uzBWsJgtCCiCNWY/H2228jOjoakydPrjaAXVJSnuAREuLcJjM0tNzBycPj9t/bYDDAbDYjKCioSrFQxe9XDlZ37969Wk2PP/44VqxYgYsXLzq2Xbp0Cfn5+ejbt68jeF3B6NGjsWnTJmzbtu2OA9gnT57E5s2bsWzZMly4cKHaY44fPw4AGDNmjNP2li1bokePHvjtt9+QmZmJ8PDwep93586dOHbsGLZu3YpvvvmmQZqDgoKgUqlQXEyjRUljI57VYxuNKgoOpzlQn8proOpDEwCSk5MRFxfXrCqs20z7nrUEl1BKR7OWwGlEFESqPOUS8S/C+4homFUbeiKVrPfI/FlLEAQDkcSLfLv4K1kBoLVc/NU4AJBKpF8phZ6IVNo1GO3iDzQAdCrqqbjuULnOMiJjBAuR+62cSEJCmlH8CUPechrv5fnSm6wlCEK2yp+1BEEYNGhQrfsPHDhQ52ts3rwZp06dwrZt22rsH923b18cOnQIr732GubOneuwEF+6dCn8/Pwwffp0x7EajQYdO3bE4cOH8dVXX2HIkCFQKBQ4c+YMVq1ahb59+6JXr1516srOzgZQHqCtoKI4rXLAvIKKbXfaPtRgMODtt9/GkCFDMHDgwBoD2BUaKgfhK1Cr1bDb7UhMTKx3ADsvLw/x8fF45plncPfdd9d5vNlsRnFxMaxWKzIzM7F69Wro9XpHRTunYdBYWeVwOI1KXZXXtREWFgadToegoCDk5eU1srI7w90rsFu1ohFsUBCpwDYRWdC8WxFY90Fujo7I4peKQDICAPjZaVyngki7Bg8in9tSIgkJGiI9EVtIxF+p8ouh7iRZMaAk4EQDADYiFbtUKpOpOEVpiFQFylQ0xkJUWpEFeXixltDk3LJW7TkrRiI8/VlLEIQQmSdrCYKQhgKXfj87OxsLFy7EtGnT0KFDhxqPe/LJJ5GdnY3169dj/Pjxju0xMTHYvHkzWrdu7XT8f//7X2i1WnzyySf45JNPHNsnTZqEt956q8ZAeQUWiwVffPEFgPLK6gratm0LmUyGv/76CwaDwSmIXFEZnZFxZ61Xli5dCp1Oh3feeafW4+666y4cPXoUx48fd/qblZWVOYLnmZmZ9T7vvHnz4O3tjblz59br+NOnT2PKlCmOn318fPDcc8/hpZdeqvc5ObehMWvicDjNhrVr10Kr1QIoD2ZnZWXBZrNBr9c79coWknTP5lMNfic8GEyjf4aMSLDBj8iCiYlAUEVB5DNLhWTQsKyjYgmvJpIUlW6jsdBHpWo3UKZiLaHJGaym0RtnR3EyawmCEEPEBrXEwmYeKzRSIoHALCuNPrtqIok0Uhr5JZBIxf/9pOLqQYUCm5G1BEGoT4V1bbz//vvQaDSYPXt2rcdJpVKEhoaiQ4cOGDx4MFq3bo0bN25g1apVmDFjBtatW4eIiAjH8R4eHoiKioKXlxceffRRqNVqHD16FBs2bIDRaMT8+fNrPd8HH3yAxMRETJkyBffff79ju6+vL8aOHYtNmzZh9uzZmDt3LjQaDX7//Xd89tlnkMvld7T+f+7cOaxbtw7vvfcegoODaz32qaeewqZNm/Df//4Xnp6e6N27N3Q6HT777DMUFBQAKA9m14f9+/dj7969WLVqVbVV5dXRoUMHrFmzBiaTCTdu3MCuXbtQWloKk8kEuZzGs7cx4X8xDofjEhWW4BXk5OQ4/l+T1Xh8fDwAOALZqampzILXAPCOvhOzczcGitY0LKepZE6X2sRvDwoAapn4g0e8x664MICGO4LZJv7kEoBOUhQVCqw0EkyusxYgAHkWGoGjTl4t6z5IBJQQWZymQpjSj7UEQTATqTSnUlGfZabRZiRKJX6HMyrkEhkLxSiD6j6IOD/88AMOHjyINWvWVGuHXZlPPvkEa9aswY4dOxATE+PY3rdvX4wZMwYLFy7E0qVLAQB6vR4TJkxAUFAQNmzY4FhvffTRR+Hv74+VK1diyJAhePDBB6s9V3x8PDZv3oxhw4bhzTffrLL/7bffhlwux+bNmx0tRL29vR0V31Zrw5KPzWYz3nrrLXTr1s2purwmoqKisHLlSvz73/92qta+//778fzzz+OLL76At7c3gHJb8n/2pvb09ISXlxeKiorwwQcfYPjw4ejbt2+99fr5+aFPnz6On0ePHo2RI0fi5s2b+Prrr+v9OpxyxBPAJjLw4nCaGzabDUuWLHH8XDmYXZfVeEUge+rUqdBoNM2qL7Y7QcWaj0pVoJdUyVqCIPDgLsfdMBIZa/pLaNyDvIlUHZUQSbxQK2gk83lJFKwlNDlUAtgX9OmsJQhCG3XtFTIc9yLbVMRagiB094hkLUEQrlp0rCUIQoDCm7UEQUg13mItocnxkdNwq2ut1LCWIAgFdp7kVhsmkwkfffQR+vbti4iICKSkpDjtNxgMSElJgZeXF/z8/LB27Vq0bdvWKXgNAO3bt0fbtm1x4sQJx7Z9+/bh5s2beOqpp6oUCz366KNYuXIljh8/Xm0A+6OPPsK3336LESNGYMGCBZDJqs7DlEol3n33Xbz66qu4fPkyJBIJOnToAKvVirfffhtdu3Zt0N8iISEBly9fxrJly5wK5QoLCwGUF9OlpKSgRYsWUCjK50s9evTATz/9hGvXriE/Px9hYWFo2bIlFi5cCABo164dAODHH390FNhVMHv2bMyZMwf//e9/UVxcjEmTJjn9/UtLSwEAaWlpMBqNiIqKqrXoys/PDwMHDkRCQgLS0tIQGUljnNFY0Fi54XA4zZq1a9c6/Tx8+HB06tQJx48fr5IFxakKlZ5rdjuN69QT6ZucLRG/1WKAVPxWrwCgIJJcoifijmCU0Ah4KmQ0FjPzbDQqk4OItN/wITB9pzLeu5uItfZNE40AGUdc0BjZ0kmcpmI7bSYQ3KWy9pVJJJmvrdyftYRmjcFgQH5+Po4ePYohQ4ZU2X/mzBkMGTIEjz/+OLRaLcxmc42VzRaLxWlfdnY2AFR7fMW2f+6z2+2YN28evvvuO4wZMwbz58+vs0+2t7c3unXr5vj5p59+gt1ur7GyuybS09Nht9vx4osvVru/onjuxx9/dASmgXInz3bt2jltO3LkCHx8fHDvvfcCKK9QX7NmjdPrtWxZ7pSUkZEBg8GAiRMnVnveSZMmAQDOnj0Llar29b8K59miIhrJgI2J+GfAHA6n2aHVamEwGKDT6XD+/Plqj8nMzBRMz4ee1WtwFwaGNOzBz2neUOlFlm0Rf3JKsLJ2iyeOe/GAnEYVWT6Rit3BBhoVuxfqmEiLhT8h/mcKAHhC/J9bKi1jkvQZrCUIApXKRxqpQnRIs9J4pgTKxB/wBIAcSylrCYJQZNGzltDkmG0Nsx12VzoRSXK7aBa/a4AreHh4OCy//8nLL7+MmJgYvPTSSwgPD0dQUBA0Gg2uX7+Ov/76y6nC+cyZM7hx44aTpXV0dDQA4Pvvv8fUqVMdVcsAsH37dgBAly5dHNvsdjvee+89bNq0CRMmTMAHH3zQ4DG7TqfDkiVLEBAQUGNAuCaeeOIJdO/evcr2//3vf/jpp5/w8ssvo23btggNDa31db755htcunQJc+bMcfSzDgkJQUhISLXHP/fccxgxYkSV7QkJCTh58iTmzZsHPz8/x98vLy8PQUFVrfHT0tJw4MAB+Pj4OAXTOfWDxio5h8NhTkXQGii39oiKiqoxeM1pGBYitrYyIguasfIA1hIE4TyByYoKNHrsmkHjHtSRiMPZdaX4LYoBIJfILKgVDVMP/KWgMUag8Fxpq6QxDjIq/FlLEIR0cwFrCYJApSqQynUGyTxZSxAEk51GMDBKTqN3ez6BQH242p+1BEGg0DIGAGxE1jLvFIVCgUcffbTG/YGBgU7758yZg3nz5mHatGmYOHEiWrdujRs3bmDjxo1QKBR4+eWXHccOGDAAXbt2xV9//YUnnngCI0aMgIeHB44cOYJDhw6hS5cueOSRRxzHL1y4EJs2bUKbNm1w7733Yvfu3U5agoKC8MADDzh+3rNnD3bs2IFevXohMDAQaWlp2Lp1K0pLS7F8+XJoNA2zye/QoQM6dOhQZfvly5cBAL169UKPHj2c9k2aNAmxsbFo27Yt7HY7jh49ioMHD2LQoEGYOXNmvc5buXq8Mr/88gsA4MEHH0RYWJhj+4oVK3Ds2DH079/fYRN+7do17Ny5E3q9HgsWLKizUptTFSJLNxwOhzUGg8HRK3vo0KG4ePEiY0W3SSuIqfugZowyRvzVOACdipy/zLmsJQgCBcs6I5HAbms7jQH4CRWNRb4sIr3IfOQ0pkFFRNpSqAhUJgOAmUDwyErEQpxKD2wqFdgSIhbFVK7zuimftQRB8JbRGMPn2cVfmQwA3jLxu39RcavLsdH4zFp5ALtRmTRpEkJDQ/Htt986gsX+/v7o168fZs2a5RQAlslkWLNmDVauXIl9+/Zh6dKlsNvtiIyMxMyZM/HCCy9AXmm+XFGAdv36dbzxxhtVzt2rVy+nAHbr1q1hs9mwbt06FBUVQaPRoF+/fpg5cyZatWrVhH+F23Tt2hUHDx7E1q1bIZFIEB0djXnz5mHcuHF1Wp/fKQ899BCys7Oxd+9e5Ofnw2KxICQkBAMGDMAzzzyDzp07N8l5xY547vw2ftPjcJojarUacXFxyMnJcVRh+/v7o3Pnzjhz5gzy8vJYS3R7zEQyp2UEqo4AwF8q/oknABTYxN8Du0xKw4oZoLH4FWIXz7C5NloSuc7fQKP3VJiEhj1olp2GgS+Fhb4bRAJHdgLvJUBnnkKlMpnKdUolNOadPlTmnVYaY4R8AhbiN8toJPsP87ubtQRBCJHScLtoCmoqChs8eDAGDx5cr9fw9PTEyy+/7FSZXRPffvttg/R16tSpSl/ppmDOnDmYM2dOtftef/11vP76601y3gULFmDBggVVtvfp08fJqp3TONBYoeJwOMyIj48HAMTFxTmqsLVaLTIzMxEbGwudTofU1FQUFbFbSI70v8Ts3I2BPbj2Hh8c9+KWVfwTTwBQEcieVktoVATmEOmZrCBSdaSX0Ag2tIUXawmCQCNEBujtNO5DwVLxJyTYiATIItVV++OJkVIbDVcPjrjwlNKw7y0j4tJCYwQPKKTin3uqibgGJJpoBOo7KWmMhTgcjmuIf/WYw+E0C9RqNVJTUwHcDmoD5b2xWffCjtD3Y3p+V2nTisZCH5WMfyq2WDTeTRoYQCPgWUrkU+tFZHpgIBLazSZiCU/FQtyLyHVSwEAkcMQRF1QsxM1EHBKUfN4pKu5TR7KW0OQcKLnCWoIgtFU0rD+wu6Ig4rLIqZn8/HxYrbWvJ6nVavj4+AikiNMcoTFa4XA4TUZwcHC9jouPj4dWq0VcXByuX7+OnJwcmEymJlZXP6ZDx1qCSxyVBLCWIAhULMSjFb6sJQjCRbN7f+/qA51AII0AtpzIPUhJZHE60ULDppgKUXIaixo5dvG335ASuQd1UtZvDuXuFNiax3yvqblgEf93E6CTUKwgYiGuIWIhLiPyXMmyid8q/S6PMNYSBCHDWsxagiDYZd6sJXAYM3bsWKSnp9d6zOjRo6u16+bQQTwrq0QyJDmc5kZISEiN+yp6Xv+ToqIiqFQqeHt7Iz+fLyC7CpVMeCpct9Doy0rhU6snEtg9WZbGWoIgRChpZMLTWLIFIokEPA1E+s+WELEQ72cXf5JbSzWNfoh5dhqB3ZvmAtYSOI0IlXlnKZHEizQ7jXlnuJxGkMxHIn7r+19LrrOWIAhDvKNZSxCEPCJOUZyaWbRoEYzG2j8HtcUdODQQTwCbw+E0GyoC1zqdDhqNBkeOHGEtqVY+9GRrYe4q/YPd2wK9vsiJZMJTqWygcJUqMqFAGtwroxHALiaSeNHaJv5FPgAok1C42wKZEhp2zDkS8SdtG4nY+/9tzmMtQRCo9DSnM36ncZ3tFTT6shYSSaShkniRaxO/E4SfgkaSmweRdYRS3k6FPN27d2ctgeMG8AA2h8NpdAwGA5YsWeL4uXIldkUwOyAgoNlUX6cVxLCW4BKtYv1YSxCEdCI2ShzxcK9FyVqCIDTvFKXG47yNRpWKN5F+iOdtt1hLEAQq/S3zLCWsJQgChfdTI/NgLUEQ/IhcZ76llLUEDqfBXDE3j3WKpsZbpmItQRCuGXNZSxAEX7n4g7sqKY0EVCqtjgKIjIU4HI5riH8GzOFwBEWtVuP48eOIi4tzbMvJyUFUVBQMBgP69euH5ORk2GzNp7oi0v8SawkukRIcylqCIMgkNDKnbXYalQ0UOCcnklFM5DL7SPxZSxCEXAkNK2aNnEaCSRBoLPQdIWKVfotAoL6MiHVvV3U4awmCQKXH7l8WGu1UqJBvFv+9FgD0Nhr2vXKJjLUEQfAkYCGebtKxliAIUR4RrCUIApX+9BwOxzXEE8BuRsEwDocy8fHxGDJkSJUK7NTUVCQkJECr1SI2NrbZ24q7E1SstaVEBrcSInavaUbxZxXbiNgPUuGWhEaALItIL7JbBGwWAaBYSqOygUqVp8km/gQTTyIVgckmIhbidhrrNFQsiqlcZ6GJhvOXUu3PWoIgUKk0z7WI/3Ort9AYv2cQeC8BwIfId5PD4biGeALYHA6n2RAcHOz0c3x8PLRaLaZOnYrU1FTI5c3r1hOhd+8e0u1a0VgYolKBTWVhSKPwZi2hySmF+AMNlMgmEtg1E+k/207mw1qCIHiDRtXRRSKWkkpp8xpDNwUUgvQAYCUS2KXSM5nKdcZ6hLGWIAieHpGsJQgClR7YPgQqkwEg2yr+ZL5is561BEHooQiu+yARwCuwORxOfRD/DJjD4QhOSEhIlW0VQWwA0Gg0zaoX9glTNtPzu8pUSQvWEgRBQiSAbecW4qJBDhruCFS4aaXRA9uDyCIfla+njsjCkJeUhiV8a7kvawlNTqLRvcfl9aXALP5AAwAEEEhYBAADkX4qyWVZrCUIgppIUlQgke9ngbWMtQRB8CQwFpISsYMvAQ3nr7/N4nfl43A4rsMD2BwOp1HRarVITk5Gjx496nU86+A1AHRWL2UtwSUek33OWoIgZFhp2Cj1lVdNABEj+QSqk28RqWq4n0iVipJIxDOAyPQgHTQq6gvtNIIqbeR+rCUIgplA1e7dShrjoGIFjTFCMJEe2Ict11lLEAQqleYdVDSqH/OJ9MCOlNNw3aFQUd/LK4q1BEGIsIs/GQEAdHIv1hLcgpKSEqxcuRL79u1Deno61Go1WrVqhaeffhojR44EABw+fBgbN27ExYsXodPpIJFIEBERgUceeQRTpkyBr69zEuybb76JHTt2VHu+6dOn44033nDaZjKZsGnTJuzYsQOpqamw2+1o0aIFhg0bhqeffhpeXrffyxMnTmDKlCnVvra/vz9OnDjR4L/ByZMnsXfvXvzxxx/IyMgAAERFRWH48OF48sknoVY7jzfPnj2L3bt3Izk5GcnJySgtLcXLL7+MWbNmNei8paWlWLNmDZKSkpCcnIyMjAxERUVh//79tf7ehQsXsGLFCvz5558oLCyERqNBx44d8fbbbyMyksb6WWNCY4WKw+E0GWq1GnFxcdDpdMjKyoLRaIRCoWgWldVUuGmhURVIxUI8xU6jrxMFrESsmGlcJZBuo2FZJ5XSWEgosIl/kQ8ACoj0+vaT06iWo9CagkaqEOBFxO3iFpEAGUdcqIlUeZrs4n+mAMB1M40K7FhlIGsJTc4VcwFrCYLQXUbDHSGdSJGKK2RnZ2PKlCnQ6XQYPXo0oqOjUVZWhhs3bjgCuQBw+fJlAMCYMWMQEhICs9mMc+fOYfny5fjhhx+wbds2eHp6Vnn9hQsXVtkWHR1dZVtcXBx+/vlnDBkyBE888QQA4OjRo/j0009x+PBhfPfdd1V+Z8KECejevbvTNpXqzvqeL168GBkZGXj44Yfx1FNPwWw248CBA1iwYAG+//57bNiwwem1Dx8+jISEBLRu3RodO3bEyZMn7+i8Op0On332GQIDAxEbG4uCgoI6f2fPnj3417/+hQ4dOuCZZ55xxEfOnTuHwsJCHsC+A8QTwLZRWT7lcJoPWq0WBkP5wmhFBlZxsfsNQPLVj7GW4BL9g927hzfHGSo2xUqJeIYgNZFrdr/74Z1gttOwOHvYozVrCYKgIGI5XUQkqNJLHsRagiCcsxWyliAI3aT+rCU0OUYiFZ4nzTmsJQhCe0UAawmCoCFixVxkoZHMRyXJrR8R569rdhoB7NOGTNYSmhyTjUbSRa6Cxnezo1T8SReu8q9//QulpaXYtWsXwsPDazxuxowZmDFjRpXt7dq1w+LFi7Fv3z6MGjWqyv6KCu7aSElJwc8//4xHHnkE//3vfx3bJ02ahJkzZ+LQoUO4fPky7rrrLqff69q1a71evz689tpr6N69O+Ty2+uIkydPxmuvvYY9e/Zg69atmDRpkmPfk08+ienTp8PLy6vWivC6CAkJwS+//OL42w8cOLDW469fv4633noLw4YNw4IFCyCVUknNbVrEv3rM4XCaBLVajdTUVERFRcFgMECpVCIvL4+1rDui74QC1hJcQn1oFGsJgkClB7aUSPBIRuA65VIa1RvdlTVPpMQElcCunkhN/QNyGvagVCiz0bBK31J2ibWEJqeNmsZ3M81Iw6mqkEjv2TIrjYCnTEJjIdZApDJ5s178zxQACFTQsBDXmcSfPN3WM5S1BEEoIzIf+8OQUfdBhPnzzz9x/PhxaLVahIeHw2q1wmAwONl110VERAQAoKio+kIZu92O0tJSeHh4QCarfv2qolAtJKRqYkVoaPl38p8W3hWUlZVBIpHUuL++3HfffdVuf/zxx7Fnzx5cvHjRaXtQUOMkcSuVyloTB/7JqlWrYLVa8eabb0IqlaKsrAwymQxKJY22AE0FD2BzOJw7Ij4+HlqtFpmZ5VmesbGxTvt1Oh00Gg0A4MiRI4Lrawj7e8WwluASjx/qwFqCIMjsNBZMzEQmKzoC1Y92O40qMo648AGNxItc0Ah4GkDDISFERsP6/pashLWEJsdCxNXjXq+WrCUIQpjEg7UEQThrds9E7oYSo9CwliAIVy00XD38ifSfLbHSaKcyyNe917XqwwUTjXttMYGWMQDQWRXGWoIgDBo0qNb9Bw4cqHb74cOHAZT3ep4zZw4OHToEs9mM4OBgPPXUU3jhhReqBJ1LS0thNBqh1+uRlJSExYsXQ6FQ4IEHHqj2HD169EBJSQlkMhk6deqE5557Dg8//LDTMXfddRdCQ0OxZcsWxMTEoHfv3gDK1/q3b9+OcePGoWXLquPa+fPnQ6vVAgDCwsIwYsQIzJo1Cx4ejTc2zM7OBtB4AWtX+eWXX9C2bVskJiZi0aJFuHr1KqRSKTp37oxXX321xkA8p3Z4AJvD4dRKZZvw6tBoNEhOTsb58+cFVNW4fPyie9vzSP4fjapAKlCpIvMg0PvRzr+aouKiTfxVDQCdJJpBoGFrq5PSeD8PWbJYS+A0EjorDYviYgKJfABww65jLUEQPKQ0Kmt+06eyliAIPnIaiRdUoOJwdsMi/lZkWQYa7iVmIlbp4Uo/1hKaNVevXgUA/Pvf/0ZkZCQ++ugjAMCGDRuwdOlSZGZm4sMPP3T6nQ8//BA7duxw/HzXXXdh2bJlaNeundNxgYGBmDx5Mjp16gQfHx/cuHED69evx+zZs/H666872ZGrVCqsWLECb731Ft555x3HdqlUirlz5+LFF190em25XI4BAwagf//+CA8PR35+Pn7++Wd89dVXOHbsGNavX98oQeySkhJ8/fXXUCgUGD58uMuv5yrFxcXIzc2F2WzG7NmzMWHCBMTFxeHGjRv48ssvMX36dKxZswa9evViLdXtEE0A204kU5vDaWoqB6yTk5MdViIlJSWOakKzWVwBthdM7m351sFGw0ZplTSbtQRBeEESyVqCIHxsSmYtocnp69WatQRBOF6WxlqCIEQoaVQdKYjYg/5oo9F/ttTi3mOc+hJNpM/uY/YWrCU0OQtt11hLEAQqVswmIlbMhSYaiRdUPrcRcl/WEgShnZRG7/ajJvH3hgYApUQ0S/w10trDvYtP6ou3TMVagiBY7DQSbWuqsK6L0tJSAICHhwcSEhIcNtSPP/44hg4dii1btmDatGlo27at43dmzJiBESNGoKCgAKdPn8apU6dQUFBQ5bVff/31KtsmTpyI0aNH4z//+Q+GDh3qZJ3t5eWFVq1aoU2bNo6K8r179+I///kP7HY7Zs2a5Ti2e/fuWLFihdNrjx07FosXL8bKlSvx7bff4vnnn7+jv0kFFosFcXFxSE9Ph1arRZs2bVx6vcag4v0qKCjACy+8gFdffdWxr1OnTpg6dSo+/fRTbNy4kZVEt0X8TzcOh9Mgzpw547ADj42NRXJyMmw2G1QqlaPvBad58YUknbUEQVAQsRAfdT+NYOClP9uzltDkXLPTWMykQpjMk7UEQQgGjSqyv+w0KjisRCrqS+3iSq6siV+V4q/atRtotN/wlbrWC9BdsBKpTE4n0gM7REEjsHu6NIW1BEHw8o5mLUEQqIyFZBLxV5oXE7GD76xoHnbITU0hkfH7nVLRN3r48OFOPZSVSiWGDx+OL774AidOnHAKYEdHRyM6uvze/vjjj2Pv3r2YO3cuZDIZhg4dWuv5vLy8MG3aNLz//vs4evQoxo0bB6DcpnvcuHHo06cPPv30U8fxQ4cORVxcHP773/9i8ODBiImpvY3BrFmzsGrVKhw6dMilALbFYsFrr72GX3/9FTNmzMDUqVPv+LUAID8/H1arc2FscHBwg19HpbqdeDJmzBinfb1790aLFi2QmJiIsrKyRrVRpwAPYHM4HKjVasTFxQEAysrKsGTJEkcldkUwu3JPa6D597VuCPcp3buCmca0k07G//w/aWQV/2oSf+KFHTQW4amQTKTnmvi9EcopJbIARoUUIjbF5y1lrCU0OY973cVagiBcs4m/nzkA3EWkwtNbSqNa7oqBhnuJv4LG5/aMQfzzMQDIN9IoxChWin+M4CunkVB8yy7+hEUA8JfQSHK7U8LCynuEVxdMrdhWWFhY62sMGTIEXl5e2LhxY50BbACIjCx3hLx165Zj25YtW1BQUIBHH320yvGPPvoofvzxR/zxxx91BrA9PT0RGBiI/Pw7TyQ3m8147bXXsHfv3ipVznfK2LFjkZ7u/Dy8ePFig1/H398fnp6e0Ov1Nb5nGRkZKCoq4gHsBsID2BwOB/Hx8Y7/DxkyBABgMBiwZMkSAOW24llZWcjIyGCir6lJ93TvYPzAkAdZSxAEKr2rzESCng8ow+s+yM3pZKExzFpivcJagiDEKmlkwieZcllLEIQuavFbMQOACTTaLF0y0vjcBinFX/14xEjDiaaiNZPYsStpXOelMhqtjqgkFEcpabSlKLSKP+AJ0HEOKLGJP+jZRkGjpZMMNO61v+hvsJbQrOnatSs2bNiAzMyqbRCysrIAlPeyrg2r1Qqz2VxnoLuCGzduAACCgm6vfeTk5Dheq7rXB8qrouuipKQEeXl5aNWqVb20/BOTyYRXXnkFBw4cwOzZszFnzpw7ep1/smjRIhiNrt8/JRIJ7rnnHpw4cQJZWVlV+o5nZmZCLpfD39/f5XNRQzwrqzYaljAcTlPzzywhrVaL1NRUdOvWzdEbG6hakV15+/nz55tcZ2Pyjr4Tawmu0Zq1AE5jMrqMRrBhk4f4ExK+tKWyliAI93vQ6Nuea6NRsduayMIQFYxEest1UYk/KQoAutjFX3n0ne0GawmCEKzwYS1BEG6aaLgjcMQFlcBuJJFe32mWItYSBMFkqzuA5O7o7eK/RgBII/LsDFP6sZbQrBk0aBB8fX2xa9cuvPjii/D2LncHKS0txY4dO6BQKNC3b18AQG5ubrVVvxs2bIDJZELXrl0d2/R6PWQymZPlNVBupf31119DqVSiX79+ju0VluQ7d+7E448/7vQ7O3bsAAB06dLFsa26eIHdbsfChQtht9sxePDghv4pYDKZMHfuXBw6dAhxcXGYOXNmg1+jJrp3795orzV69GicOHECCQkJePfddx3bf/75Z+Tk5KBfv35V/u6cuhFPAJvD4TQKISHO9sUGgwFRUVFITU1FQkKCw1q8AjFYib9gcu+eZb+xFsBpVGxEKs1v2kpZS+A0EsfLaFTLecpoTDTMBBa/AMBPTsO2y0qkyrOlQvyBXQAYIqlf9YQ78x1rAQIRSKQHtpdSwVqCIFwoq1odxXFfcsw0Ap7eRMa2GhmNMZ9SKv4lfiqW0zRm13SShe4UHx8f/Pvf/8Ybb7yBsWPHYuzYsZBIJNi2bRuys7MRFxeH8PDyJN5hw4ahW7du6NSpE0JDQ1FYWIiTJ0/i8OHDiIiIwOzZsx2vm5KSgmeffRaDBg1Cq1at4Ovri+vXr2P79u0oLCzEO++8g9DQ2602x4wZg2+//RaHDx/GpEmT8PDDDwMA9u/fj1OnTmHIkCFOAfIZM2YgKCgInTp1QlhYGPLz83HgwAEkJiaiZ8+emDRpUoP/Fv/3f/+HQ4cO4d5770V4eDh27drltD8qKgrdunVz/Jyenu44Ji2t/Bv1xx9/YNmyZQCAnj17omfPnvU69/r161FUVD4uKC4uhlQqdbyOr68vnn76acexI0eOxPfff4+EhATcunUL9913H27evIn169fDx8cHb775ZoOvncMD2BwO5x9U9MOusAgByi3GK3pkV1iLa7Va7N+/n5VMDofj5oy3ir/K85CSxuL0H2U0+uf1UIbWfZAIKCNiOZ1sulX3QSJATWAxEwBa2mksaC6C+BNMQuU0KpNPlKawliAIAUR6CXPEhVwiYy1BEPyIBAOpVO1SaLlmAg1noTAitvd5Vl7UUBejRo2CRqPBypUr8cUXX8BmsyEmJgaffvqpU0/rKVOm4NixY9iwYQMKCgqgVCrRqlUrzJo1C1OnToWf3+1q96CgIPTt2xd//vkn/ve//6GsrAz+/v7o0aMHpk6dWiWw6+3tjU2bNmH58uX45ZdfsHjxYkilUrRu3Rqvv/46pk6d6nT8I488gkOHDmHDhg0oKiqCQqFAu3btoNVqMWnSJCgUDU9urHB6PX36NE6fPl1l/+jRo50C2GlpaVi6dKnTMceOHcOxY8cAALNnz653AHv16tVVemRXvHZERIRTAFsqlWL58uVYuXIldu/ejQMHDsDLywuDBw/G3Llz0aZNm3qdk+OMxC6S5ktlv6xmLaFJ8BgwnbUEksTFxTn6P4vpfBVBaACO89V07ortFf9WVF7n5OQgKioKZ86cQV5eXpNrbmpOnTqFUu9FrGW4xGjNAdYSOI3Ix3YaQc8njTdZS2hyHvGKZi1BEH410LBKD5B7sZYgCBICi18AneoqKs4BYURsUKOl4g8GHjHSSIqKUoo/kY8S5/UZrCUIApUe2Aar+HsJA4BCSsMhQSGlkZCgIvB+Uklyu250/7XW+kDBNQAAzmb9zloCh+PW0LhTcDgcl4mPjwdwuyd2bGxslcD30KFDYTabAZT3znAX8nPWsZbgEoa7aFQF9lKE1H2QCMgvE0VeWZ1EqQJZS2hyTpho2EnaxJELWSdmIr2EqRBBJHjkK6VRXWWw03AOyLW7d9ub+mAlcq89U0KjAlujpBFssIPGWIjKdbZQi3+eAgCt5DT6z5qJVO1eMuayltDkKIm4I3TyCGctQRCMRMZ8HA7HNcQTwOY3PQ5HEOLj4x1B7Aoq7MSVyvJF0oogNkcYFEQG8X9Z3ScpwhViFcGsJQiC3i7++8Q9ShpJFyeJ9MC2EVm09aIS8LSJ/x4E0LnObkSenUF28Y/5AtSRrCUIwh7LJdYSBIFKtVyJxcBagiBQcWkpJtKXVSr3Zy1BEDwl4ln6rg0jgTEfBZt0AJCBhttFkp7GOgKneoqLi2Ew1D5+kslkCAgIEEgRp7lC4ynO4XAaTHW9sCuo3BMbKO+LferUKWi1WmRmllccajQa6HQ6aDQaJCcno6ioCCaT+KtGWGAlklEss9MYxBfRuExYLDSq5TjiIZKIRXGRjcazmko1jo+UhoW4gUjvdk+7+KfvR4x8MVNM5FpKWEvgcBqMl4xGS6cAifgtpwHguo1Gn91YdRhrCU1OgY1GslCxlcZ1RqhoOGJxqmf+/PnYsWNHrcdERETg4MGDAiniNFfEPwPmcDh3RIVleOVAdWUqAtwAHEHuit+poCKgHRsb6whmHzlypAlV04SK9VeapZi1BEE4K6WR8e9BYMHkvEn8Nm6USDZks5YgCFR6kVHp45lhKmAtQRC81TScA7rYxZ+Q0ElFozXO31Ia/S2pVJFxxIWdSHuci9Yi1hIEIdV4i7UEQVAT6IF9y0TjM9vNuxVrCYJQSCQhgVM9M2bMwIgRI2o9RqUS/9yHUzc0Vqg4HE6jUzlYHRcXB61W62T9cf36dej1epSUlPDK6yamFWhkiKeBRgC7q82DtQRB0CjEP8EuI1LheaQste6DRECwgoYNqjeRit0yAm0MAKCHUvzVOACQZzeyliAIFEKB2TY9awmCoCRiaRsg82QtQRDyzbzSXEx4EAgEAoCRyFjIS0ZjbFtkEX8ifGfvKNYSBOGGiUb7PL2VxvidUz3R0dGIjo5mLYPjBohn1mSjsUjM4TRH1Go1UlNTkZCQAABOwWxvb29HT+zi4uYZgFyhdO+qnZvgWYti4prUwlqCIJwxi786WU/EinmCuh1rCYJw0l7IWoIgmOw0rJipVAUmW2gsgBmJfG6TFeJPcis201jMDJN5s5bA4XBq4FoZDdedSHUQawmCkGmgMRYKVYvfjvmqQfxrCADQQU3DjUYtkbGWwOFw3ADxBLA5HA4z4uPjodVqnSzFu3Xr5ghiN3fb8BfcvEL8bdYCOI1KZwuNR/Np1gI4jcYxG41FISto2EnKiVhrU8FPQsOlxZNINWuGXfzVVVSse/2l7p1Ay6FJqNKXtQRBKLTQqMDuoqARwPbwpvF+phnFPydrpaLxmb1momF7r+ABbA6HUw9ozPQ5HE6TU9lSvKL3Ne95LQwySFhLEASJhMZ1yogYiqSU5bCW0OSEqQNYSxCECJkXawmCoCBSsWsmYn2fQcSmmErihd5Ow72kpVT891uTnEY1/eGSa6wlCEKAgleai4lsIv1n7USenUlEXFqyTDRclJRS8S/xZ5oLWEsQBC8ZjQRUHyKtqzgcjmuI/+nG4XBcQqfTOSqrASA5ORm2Spb9+fk0Jj3NmRQLjYUEDZFBfGcivb5bqANZS2hyOilpZIgfL0tjLUEQenlEspYgCDk28Vd4AjQCgQBQRKS/ZQmRAHYWgQrsm0QWp33k4reDBwAzEXt/KsiIuLRYiHxuqfSol6toVHlSaI9DpW+7nEhl8g1DHmsJHA7HDeABbA6HUyvh4eEOK3AACAsLE11ldWf1UtYSXOJu+3zWEgQhSkJjgv2ZjMakbIJE/MHA3+w0kkuoQKUax2qnUYHtBRoLQ8WgEdi9S0qjyvNXYzprCU1OmIKGRbGXhIalbRmR5BJ/CY0qMgORZ4qaL5WKiq5SH9YSBOEvAonw/UHD4ewUkXWEdupg1hI4HI4bIJ5RGZHFNg5HaCpbg1dGTDbhL9leZy3BJW4q2rCWIAgdifSG3iDRsZYgCIVS8QfqqVSR3U+kMjnVWsJagiAYbOL/bgLAWdC415baTKwlCEKAIoS1BEEotIjf+r6zKpS1BEHwJJJEk2IvZS2B04hQqPAEABuRpMVLJhrVjwVEEqMocBw07ODzrDSenXIizxQOh+MaNKIBHA4HAKBWq5GamoqQENcX+QwGA9auXVvjfq1WC4PB4BbB7S+ki1hLcIl7Lf+PtQSBoGG1SCXY0EHmz1pCk3MTBawlCAIVC3GTjUbVEZUK7AAljYpdKp9bs4LG59ZPLn43mr+MWawlCEIrhYa1BEHINNMINvgpaVSRUQnsZlrEX8kKAJ5SJWsJnEaEgrNHnlX8iXwAIIWEtQRBKLKKvzWOq3z22Wf4/PPPaz3m119/RWhoKE6cOIEpU6ZUe4y/vz9OnDhRZfupU6fw9ddfIykpCQUFBQgKCkL37t3x3HPPISYmxulYvV6PL7/8Ej/99BMyMjLg7e2N+++/H6+88gpat27tdGxOTg4SEhKQlJSE5ORk5Obmonfv3rXGEeri7Nmz+Prrr/H3338jLy8PNpsN4eHh6N+/P6ZPn47Q0NtJsHa7Hd9//z0OHz6M8+fPIzs7G97e3mjTpg2mTJmCwYMHQyKp3/csKSkJP/zwA44fP460tDSYTCZERkZi0KBBmD59Onx9q0+SunDhAlasWIE///wThYWF0Gg06NixI95++21ERtIoAmkseACbwyFEfPz/x955B0ZRde//2b6ppJBGCi2EIL0LgtJFQAIIiAYEFFApavRFXRVFRKOIL/JVRKWrEaUTQCkCIugLKCA1RGlJSNuQvkm27++P/LKypmeTucmc+/kHMju788yWmXvvOec5sQ79rJ0hISGh3Gs1hWB1RaSums5aglOMQiRrCYJAY2m6dKBFgfMm8Wf8S4hMPKngLlezliAI7lIaNqjZZhoV9UoJjelejo1I8heBIJkXgQV4AEix0qiuovCdpcSjRhrJX0dUNMZCJiIJCXlExghXDVrWEhqctqrmrCUIQjPWAgSCyrzTGYYPH46wsLBy29PS0vDxxx+jY8eODoFbAHj00UfRs2dPh22qCu5rhw4dwoIFC9CyZUtER0fDx8cHN27cwJYtW3Dw4EFs2bIF7du3B1BaxDZt2jRcunQJw4YNw/Tp05Gbm4tvv/0Wjz76KDZv3ow2bdrYX/vmzZv4/PPPERAQgM6dO+PIkSNOvxe3bt1CUVERRo8eDT8/P0ilUiQmJuL777/H3r17sWPHDvt7YTQasXDhQrRv3x4PPvggQkNDkZubi+3bt2P+/Pl47LHHsHjx4hodd82aNfj1118xdOhQTJgwARKJBCdPnsTq1asRHx+PrVu3wtfX1+E5e/fuxcsvv4zIyEhMnz4dPj4+yMnJwcWLF5Gfn88D2LWExooGh8Opd6xWK1asWFFue0xMjH27RqPBuXPnYLVaYTKZUFjYODOZs5/yYi3BOYgUYN+roFHB8a2JxsKtmUCVJ5WeyaFKGlVkmUSqcWh8awFPApWsAJ2kKCoVOYUWPWsJDc4gFY0FnXyr+D9LALBIaVyDqPTA/k5JYyzkBRqVyfk2Gm1j9DYLawmC0FvdgrWEBue6mcaaUHMZjXmKn5SGy6IzREZGIjKyfNHSxx9/DACYPHlyuce6deuGqKioal97/fr1UCgU+O677+Dt/c+aTvfu3bFgwQLs2rULr7zyCgDg+++/x6VLl/Doo49iyZIl9n2joqIwZswYLF26FOvXr7dv79ixI3777Td7YLcsEO4MY8eOxdixY8tt7927N2JiYrB161bMnz8fACCTybBp0ybce++9DvtOnToV48ePx+bNmxEdHY127dpVe9ypU6ciNjYWavU/BQ2PP/44/vvf/+KLL77AunXr8PLLL9sfu3nzJl577TWMGTMG77//PqRSbpXvLOIJYFvFvxDO4TQFtFqt3T48NzcXHTp0AFC+OlupVMJobByZsL7r8lhLcAqLjUavQIuVRjWrzmpgLUEQ1AQqrFoqvFhLEISrevFn+wNAC6UXawmCQKWNgYmItbavnEa1nEJCY2HAWyb+hb4zZvE7tADAw9JA1hIEQSulETjytNG4Bp0DjQA2lR711y00goFUkooDCQQDQ2QerCUIwg1zHmsJgtBG7sVaQpPEYrFgx44dcHV1xZgxYyrcp6SkBBKJxCHo+m90Oh3UajWaNXOs+S+rYnZx+eeacvLkSQDAhAkTHPYNDQ1Fr1698OuvvyI9PR1BQUEAAHd3d7i7CzMPLatmvrtoTi6XlwteA4CrqysGDRqEjRs34q+//qpRAPvf1exljBo1Cl988QUSExMdtq9btw4WiwWvvvoqpFIpSkpKIJPJoFTSSI5rCMQTwOZwOA1OWWAaAAyGioNs2dnZAIC4uLgK+2ArFAqYTKZGE7wWAzTCusA3EjfWEgRBhgLWEgTBTMAU/oYxh7UETj2SZsxjLUEQSiw07s8KKY3FaXcZjapAmYQvCIiFcCKLmSesNAJH/qDRfiMFNJKiqPC3hcZ8jEqbEaWExpgvwyr+fsLuRL6zBisNdwQVkQTUoUOHVvn44cOHa/V6v/zyCzIzM/HII49UGCR+9913odFoAACBgYEYO3Ys5s6d6xCQBoABAwZg/fr1eOWVV/Dkk0/aLcSXLVuGoKAgTJkyxb5v2Rp+RQFxtVoNm82G8+fP2wPYDUlJSQlKSkpgMBhw7do1fPTRRwCAQYMG1ej5mZmZAFDO9ru2lL1O8+aOrQ1+/vlntGnTBufPn8eHH36I69evQyqVokuXLnjxxRfRt29fp45LERpXfg6HUy/o9Xq7PfiIESMq3KdDhw5Qq9WIiYmBVqt1CGQnJCTgzp3GV1XR1C3EZR/QGPTROEsggEi1nBeBfkdXjFmsJXDqESoLCZ5y8VdvAICVSDWOlYiFuIzIKEFGIG0x2UKjPz2VikAVaNigNpPQCNQHW2kEAuMsKawlCIIHgfkYABhtNBJMWsk9WUtocPyI2PvfJJJ0cdNMI1movtmyZQuA0l7XdyOXyzFo0CDcf//9CAoKQk5ODn766Sd8+eWX+O233/DNN984BLGff/55FBYWYteuXYiPj7dv79WrF9asWeMQmG3Xrh1OnDiBkydPOlial5SU4Pz58wCA9PT0Bjnff7N27Vp8+umn9r9DQkLwwQcfoF+/ftU+9/Llyzh06BBatmxZaWV1TTCbzVi1ahUAYPz48fbthYWFyMrKgslkwvz58/Hoo4+Li2nZAAEAAElEQVQiJiYGt27dwueff44nn3wSGzZsQJ8+fep8bIrwADaHw3GKu6uyAdiD1mWPxcTEIDc3F5cuXWIlsVqmPH2atQSncJGMr34nEdDJRGMQfxxFrCUIQjqBfsJUAipUemAnE6mozzfT6CXsSqQyOY9Ib2gjkf6WeWbxjxHcZTQCga5SGovwWVIarXG6gEYC6gmJ+MfvlCgm0gM7hEBgFwB0BAL1yRYa1yAqrgEyIhXYBw8frLfX0mq1OHbsGCIiItC1a1eHx3r27IkvvvjCYdvEiROxfPlyrFmzBl9//TXmzJljf0wulyMoKAhdu3bFqFGjEBAQgKtXr2L9+vV4+umnsX79eru9+OOPP47vv/8e//d//wdXV1f069cPubm5+OSTT5CXlwegNJgtBOPGjUPPnj2h0+lw+fJlHDlyxK6hKrRaLebPnw+pVIoPP/wQCkXd2xq+/fbbOH/+PJ544gkHq/KiotK5Wl5eHp5++mm8+OKL9sc6deqEGTNm4L///S++++67Oh+bIuIJYNvEb0XK4TRG7q7KBoCRI0ciJiYGCQkJsFqtyMlp/Av+gzcMYC3BKX5t5ZztSVPhkoLG4nRH0Pg8zxvF3zfZTGRskmLMZS1BEFyIBBu85DTaNeSYaFR5KiR1n5g3JagkXiil4pm+VwYVd4TmRK61fxuzWUsQBJmSxiI8FeeAtgoayZkGAi2dAMCViO00hWS+MDmNHtgni2m4QHRzacFaQpNjx44dsFgsmDx5co2fM3fuXKxbtw5Hjx51CGAvXLgQx48fx48//gg/Pz8AwLBhw9ClSxfMnj0bX3zxBV5++WUAQFhYGNasWYPXX38dixYtsr/Gvffeizlz5mDVqlWC9bwODQ1FaGgogFJ32KFDh2LKlCkwGo0O53c3WVlZmDFjBrKysvDxxx+XC/7n5OTAYnG8hpa9J/8mNjYWW7ZswZgxY/Dqq686PKZS/ZMk/+9+4f369UOLFi1w/vx5lJSUlLN051QOjbs4h8MRDKvVihUrViAmJsYhsP1vNBoNDh06ZP9bIpHAxsjm8ujME0yOW19QqcC+h0gF9hpkspYgCHkm8VeReStoVONIJeK3tAXoBDyp4EHEKp2KbaafgsaCJoU2IzeJuF3kWsTfq5QjPiQE2hgAgCeR5K8CIhXYGUTcaDyk4v/eaokkLFIh32ZkLaFJYbPZsG3bNqjVakRFRdX4ea6urvD19XUoMEtLS8MPP/yAwYMHlwvU3n///XBzc8OpU6cctvfq1Qv79+/HjRs3kJOTg8DAQISGhmLZsmUAgLZt2zpxdnWnS5cuaNOmDb777rsKA9iZmZmYPn06UlNT8X//938YMmRIuX0mTpyI1NRUh22JiYnl9lu6dCm+/vprjB07Fu+//z5kMsd1ai8vL7i6uqK4uLjCALifnx/S0tJQUFDAA9i1gAewORxOvVJZhtLdaDQanDx5EgMHDgQA5r2xD+5cxezY9cFYLxqZ8AlEKrCtJhqf5xC3NqwlNDhnjTSSEaj02A1R+bCWIAg0Pk0gx0wjIUFFYDGTIy6oVGBzOJzGSzGBSlYAuGXOZy1BENREKrBzLeL/3raRN2MtQRDyiSS5FVt5ALs2/O9//0NKSgqioqLg6Vnz1gg6nQ537txBy5Yt7dsyM0vXqv5ddQyUBsqtVmuFj0kkErRt29YhWH38+HF4eHigR48etTmdekWv1yM/v/w9LSMjA9OnT0d6ejpWrVqF+++/v8Lnf/jhhzAYKm97Y7PZsGTJEnz77beYMGEC3n33XUil5d13JBIJOnfujFOnTiEjI6NcUD89PR1yuRxeXl61O0Hi0LiLcziceqeyQLW/v3+F2+/ula3Vau03zuPHjzeMwFrQLm8/awlOEd6y+n3EQCSRCuzTRCbYiWYattMc8UBlIcGHiK0tFat0BZHect5SGhnsKoh/LNRWSaOVCoXPEgCKpDR6mlOBioW4nIi7kAI0xghU+uz6S11ZS2hwtFYa8zEqYyEvIm4X9cXWrVsBoFL78NzcXHh7O7bAsNlsWLZsGWw2G4YNG2bf3rp1a8jlcvzxxx9ISUmxW3IDwI8//oiSkhJ06dKlWk1fffUV/vrrLyxYsKDBK4qzsrIqjEUcPnwYKSkpGDDAsT1oeno6nnjiCWRlZeHzzz9H//79K33tnj17VvqYzWbDW2+9he+//x6PPvoo3n77bUiqGCeMHz8ep06dQlxcHN5880379p9++glarRYDBw50sBrnVA+NVXIOh1PvVBao/jdlgWutVou4uDj7trvtw1nTeuYe1hKcQiEZx1qCINDo0AXoidi9Woj0h6ZAqJJGn0AdkQxxnbXyzGMxUWyhcZ5UHBJ8XMS/aAsABoi/ukpKxKL4T30aawmCoCbiAhGprN6FTAxQsRD3hZK1BEFIk9I4T08i50khaVFnoTEfK5LQsPcnkkNTL+Tk5ODQoUNo06YNevXqVeE+s2bNQvPmzdGpUycEBgYiJycHhw8fxvnz59G7d29ER0fb9/Xy8sL06dOxbt06TJ48GVOmTEFgYCASEhKwbds2eHl5Yfbs2Q6vHx0djQ4dOqBNmzaw2Ww4ceIEjhw5gqFDh+KZZ54pp+ezzz5z+Ds1NdW+rUWLFhg3blyt3oM5c+bA09MT3bt3R4sWLVBcXIzz58/jwIED8PLywiuvvGLfV6fTYdq0aUhJScGkSZOQlZWF3bt3O7xejx49HAL3lbFs2TJ8//33aN26NXr06IH4+HiHx5s3b4777rvP/ndUVBT27NmDuLg4ZGdno2/fvkhJScE333wDDw+Pcn2zOdUjngC2lS+EcziNAbVajZiYGGi1WgClNh4rVqzAyJEjMXLkSFitVoe+G42BK5v+x1qCU3QNo3H9S5SLf9EWAFzNNBb6msnFX5GTbKRRZZ5C5Dxbq5qzliAIJTbxTA+qwl1KI+u5o5yG9f2v+tusJQgChZ7m96gDWUsQhOYK8fczB4Bc3q9UVFCpwM600UhyK7DqWUsQhEAZjSS32+ZC1hIaHBciSVFeEhrzlGwiFfX1we7du2EymSqtvgaABx98EEePHsXmzZtRUFAAhUKBtm3bQqPRIDo6GgqF4+9n4cKFaNOmDbZt24aNGzfCaDTC19cXY8aMwbx588oFd7t164YjR45g27ZtkEgkCA8Px5IlSzBp0qQK7bRXrlzp8HdycrJ9W58+fWodwJ40aRIOHTqEbdu2IS8vDzKZDMHBwZg6dSqeeuopBAQE2PfNy8tDSkoKgNLK9bLq9buJjY2tUQD70qVLAICbN286BMnL6NOnj0MAWyqVYvXq1VizZg3i4+Nx+PBhuLm5YdiwYXjuuefQunXrWp03R0wBbA6H0yiIjY0FAMTExDhs9/X1hb+/P1asWGHfVladXWZzwqoX9j3T+wl+zPpEScRyuhMRC/FfIf7FaQAoJjDBlhLIggcAKRGbxRuGLNYSBEFvoZHx30xBYzHzhlT811qARmAXAOQS8Y+FbhobV6JrQ0GlXUNzOY1APRWCJTTunX+YtKwlCIKZSK/vK0YaY/gco461hAanlZpGQvFNk/DroizQmXkAu6bMnDkTM2fOrHKfOXPmYM6cOTV+TYlEgokTJ2LixIk12n/hwoVYuHBhjV8/MTGxxvvWhMcffxyPP/54jfYNCQmpt+N//fXXtX6OSqXC/PnzMX/+/HrRQB0aUQ8Oh8OcsLAwJCcnAyhvK172d2BgoD2AXdZPwiaA9eXBnasa/BgNyVgvGhXYNKbXgJpIQkIRATtmKlUqVCyKqSQLealoBFXyzEWsJQhCujGftQRBMFppBLAtEvGP+QJUnqwlCEKaMY+1BEGgYiEeJKMRqE+z0Qg26Cw0KpOpBLC9iCQM9XELYy2hwdET+c5aFTTGQh6yhu2ZzOFwxAGNlTgOh9MgaDQau1V4dY/Hxsbaq7LLbMXL/i6r2tZoNEwqsUeMnyfYsRoCl59/Yi1BGGjEyMj0wLYS+ECp9AmkUoHdXR3EWoIgJFtoVOwqiSwMUbFazCHSfsMC8QewXYgkC5EJ7CqasZbA4dQaVxkN+14VAVcPAGhOxEJca+EtG8QChWR/AJARcazjVE5hYSH0+qqTxmQyGXx8aLTF4lSMeGaHvAc2hyM4er0e/v7+NX787v7YGo0GCQkJ6NWrlxBSq6SpV2BHebNWwKlPAohYLT5oEX/waJ01hbUETj3yhz6VtQROPWKx0Zg7UFkYKjLT6FdK4fMUwn2pMaC30mjXkEzEEr6zikbvdioUW2jcUwqJjIVMRM5TRiB5mspayY2STNYSBEFBJJmPUznvvvsudu7cWeU+wcHBOHLkiECKOI0R8QSwORxOo0KtViM5OdkhgH13pXV6ejo6dOhg73+dm5uLS5cuMdHKK7CbBn8paEw8C4gsmPwmF78FodQo/kUESlAJeFLpge0iU7KWIAhUrO9LJDQqVSg4XrRT+rKWIAgX9RmsJQiCgkiFJ0dctCFyHbpUksZagiAYiTicuUvF7xzgJaExfh/mEcFagiCcM9AYC3EqZ9asWRg7dmyV+6hU4r+2caqGxooGh8MRnLstwyt6rAyNRoNDhw4JJatCDvVp2oPDh4/ew1qCILQ3ib/qCAB+Bo1FeLVM/J8nBatXgE4PbDJ2kkQy4Q1Eqh+pJF40V4rf1QMAigj0ZU00CtdGiCXd1C1YSxCEIhuNay1HXGQTsWKmMuajgpdUzVoCp574rSSZtQRBoOAsxKma8PBwhIeHs5bBaeTwADaHw2lQ/vrrr0ZhE14VwfM2sZbgFJ3ff4+1BEGwiL/oCABgIdISwwfiXzBppaDh759goWFx5kfEsk4BGgsJaeYC1hIEwWilUXVEJVDfkkBVoB+RBfgiIhWBSaZc1hIEIVLpx1qCINhAI2nRX+7GWoIgBMs9WEsQBE+J+OedAFBss7CW0OAUEEmKesilDWsJgnDGTCNpkcPhOId4AthEFi04nMZCRRbhFe3j5+eHiIjSCufc3FxkZGSgoKAAJpOp0fS4m2ddyFqCU/wqEf9iJgBIG8fXpcGREuhdBQCHjeLvJ9xLGcBagiDolDQC9cVWGu4IBQQqPAGgxELj8/RT0FicpkKSMZu1hAYnlYjlNJXxHj9PcSEhcp5UAvW3zPmsJQgCleRMCokXuUTmKWm2QtYSBMGPwHeWw+E4j3gC2BwOp8HQaDTQ6/XQarX2bVVZhN+9z79fBwCMRiNkMhlKShpHD9x3XNn03q4vBvvfz1qCIFxWiD+jGACIOIiTWOjTE7EQp4ILkeoNGQF7fwDwIbJgkmemYYNKpb+lK4H+llTs/UuIVJG5SGn0K6UClcAulUC9v4zGWChY6spagiCcM2WxltDgULFJ7yT3YS1BEM4S+M5yOBzn4QFsDodTLXq9HitWrKg2YF0dZQHt6Oho5OXlQS6XQ6FQICcnpz5k1pli5btMj+8sMrDtIS4UNOpx6PQB6q4Qv9WigUgAO8VIwx7UXUZjwYTKNag5kcVMC5Hvrc5qYC1BENxl4g9gU0lG8JfT6NuuJ/J5UiFQ4sJagiCcMqazliAIVJIzjQSstQEawd3WMhrOQj+V3GQtQRCoOGJxOBzn4AFsDofjFGq1GjExMTh+/DhrKXUmpKAHawlOMbbNSdYSBCHcTCOE/QuRygYLgfM8Z8hgLYFTj4QraGTCWwn8NgEgzULDmu8eIhUcJ/QprCUIQpKpiLWEBqerazBrCYJQRKTSnEpSFBUybI3DQa2h0Zlp2BQXS2gkfykUzVhLEIQss/jHtu5EXD2KiVyDfJU0kvk4HI5z8AA2h8NxmoSEBPj4+DCvpK4rOeqHWEtwiv5+97GWIAhPWZqzliAI3koalQ2XTOLv40klEBhKpAd2KpGAp4uURjWOOwErZgC4SeR7G6ESv6sHACgJ+NG4EumBbZDQcGkpIRKopzLmo1KBPUwVwVqCIFDxRzgu1bGWIAitCTh7XDPnsZYgCNM8OrGWIAj5oOGOwOFwnEM8AWwrjQkgh9OYUKvVSE5ORocOHaBWq3HoUNO0sl5U3LQHhxHhNKqr9irEc8uqihwjjX6lj8pDWEtocC4oaFSpZFhofGep9BLOImKzSMUSvsRKw5pviDqMtQRBuGzJYy2hwekio5EUdc2ax1qCIOgsNCo8pTLxB44AINtG4/M8JqVxnjlE2m+0krizliAIfhB/EqqbnEZRw00ibhd5NhrzFGfR6XRYs2YNDh48iNTUVKjVarRs2RJTp05FVFQUAODYsWP47rvvkJiYiNzcXEgkEgQHB+PBBx/EE088AU/Piscp+/fvR1xcHBISEmA0GhEQEICePXvi/fffd9jvyy+/xJUrV3DlyhUkJydDKpXiypUrFb7mtGnTcPr06UrPp2XLljh48GAd341SMjMzMXr0aBQWFuL555/H3LlzHR7/9ddfcfDgQSQkJCAxMRF6vR7Lli2zv1815cKFC1i7di2uXr2KO3fuwGq1IigoCPfffz+efPJJBAQEOOz/ySef4NNPP63wtR588EH83//9X+1OlANATAFsDocjOLGxsdBoNEhOToa/vz/++OMP+2MajQbp6enw9vZGQkIC7ty5w1Bp1by2WstaglM8i9asJQgCT1MSF1cJLAxdMmaxliAIVHpXUTnPMLUvawmCoDUVsJYgCPeoA1lLEIR8InVkngSsM/1tNCqw+8hpuAb8TaTykQomIjOyNhI31hKEgYjDfw6RIJmRgLOHnMiX9o6VRgC7gEgSjTNkZmbiiSeeQG5uLsaPH4/w8HCUlJTg1q1bSEtLs+/3999/AwAmTJgAf39/mEwmXLx4EatXr8a+ffuwfft2uLq6Orz222+/jc2bN2Pw4MF4/vnnoVarkZ6ejnPnzpXT8dFHH8HT0xMdOnRAcXFxlQ6szzzzDCZOnFhu+/Hjx7Fnzx4MGTKkrm+HncWLF8NiqTzxfs+ePdizZw/atm2LiIgIXLhwoU7HuXXrFoqKijB69Gj4+flBKpUiMTER33//Pfbu3YsdO3aUC2IDpTERb2/HpNzgYBptkhoCHsDmcDhOERsbi5iYGPvfGo0Ger0eWq0WYWFh0Ov18PX1Rffu3XHu3DkYDAYoFIpGZTfu8lLTDmDf9qdhDzrY5s9agiCcI7A4DQCpVvFXs3ZTlh/IipH/ldDoPTvCPZy1BEEwEFmc1ttoBDxzLDQWwDJsNIJkZgK/z++sjWeO0JDco6QxrqVCCwmRthREXFp+Nzfe5Pv6xEjk81RIaAQ9WxNIjNITGAcBgJJIO5VmRByxnOHll19GUVERdu/ejaCgoEr3mzVrFmbNmlVue9u2bbF8+XIcPHgQ48aNs2/ftWsXvv32W7zzzjuYPHlytToOHTqEsLBSx6tp06ZVuaZ/330Vt7n8/vvvAQCTJk2q9nhVsW/fPhw7dgwLFy4sVyleRkxMDN5++22oVCrs2LGjzgHssWPHYuzYseW29+7dGzExMdi6dSvmz59f7vFhw4YhJET8rpNCwQPYHA7HacqsxAFAr9djxYoV9grsjIwMFBQU4Nq1a5BKpTCZGl8ftNt5TbvHlTWCRs+1KwoaE+xhRAL1O03iD3oGEulnTqUH9m0CSRcA4C6hMT0IlnuwliAI6WYagV0qPc1bycRvg/q7IZ21BEFINuezliAIVK61zWw0AmQ2Ir2+vaQ0giouRMZ8BUQqsLMg/vPUEUlApZJcQiVQX1fOnDmDkydPQqPRICgoCBaLBXq9Hm5uNXcJKav6LShwdB9bvXo1IiMj7cFrnU4HV1dXSKUVj2fKgtd15fr16zhz5gx69eqFtm3b1vl1cnJysHTpUjzxxBO45557Kt2voqro+qQsOF1YWHlBmU6ng0qlgkIh/vYODY14Ris2GllYHE5jpKwKW6PRQKvV2rdpNBoAQIcOHQCU2oU0RqY8XXlvjqaAGuNYSxCE9mYag9v1trTqdxIBmYZc1hIaHIuSRo+uFKP4P0sAkEokrCUIgoyINZ9KSmMiKSHyvW1PpP8sn/GKhwC5+JMRADrBhgQJDbcLCWjcUzpKafw+z1tptFPxI5KQ4CGiJf7KKETjK4hpCLItNBKnQxTNWEsQhKFDh1b5+OHDhyvcfuzYMQClweMFCxbg6NGjMJlM8PPzw+OPP46nn34aMpnjOmlRUREMBgOKi4tx5coVLF++HAqFwqEq+ubNm7h16xaio6Px5ZdfYuPGjcjOzoZKpcL999+PV199td6rh7dt2wbA+errd999Fy4uLnjuuedw8eLF+pBWI0pKSlBSUgKDwYBr167ho48+AgAMGjSowv2joqKg0+kgkUgQERGBadOmOX3ulBH/3Y3D4QiGXq+Hv39p9WiZlfi/ez40Rm5ueJi1BKdo3ZJGJvxlBY0FMLWZxq15hEd71hIaHApWrwCdCmwanyadTPg8ItbaciK2mScMqawlCAKFSnMLkcR0KtVVhVY9awmC0ExGowXQSAuNivobchrXISquO5lE+gnrJOJPzvSX0EhGaKuseYVtU0ZFJHH6VxTV6XnXr18HALz++usICQnB0qVLAQCbN2/GypUrkZ6ejnfeecfhOe+88w527txp/7tdu3b47LPPHKqey173xx9/hMFgwDPPPIPWrVvj1KlT+Oabb3D+/Hns3r0bPj4+ddL9b4xGI3bu3IlmzZrhoYceqvPrHDt2DHv37sWaNWvK9fNuaNauXYtPP/3U/ndISAg++OAD9OvXz2E/Dw8PPPLII+jZsye8vb2RmpqK77//Hm+88QauXLmCt956S1DdYoHGaIXD4TQ4ZTbiYWFhiImJgVarRVxcnD2Q3VirrwHgSTTt6sFjoBE8khPJ+KeyoHnVJP4el20UXqwlcOoRGZFKVp3VwFqCIBiIVAXmW8RvJwkAgUQqOCJk4j/PDDmNQIMbgUADAKSY8lhLEAYiLhA/ymhU7Hax0QjUBxEJBlJxF/KTiD+R5raNxhghmcg8pZ2UxrW2sgrr6igqKg18u7i4IC4uDkpl6W981KhRGD16NLZu3YqZM2eiTZs29ufMmjULY8eORV5eHs6ePYs//vgDeXl5Fb5uTk4O1q1bhwEDBgAAhg8fDnd3d6xevRobN27Eiy++WCfd/+ann35Cbm4upk2bBpWqbsm4Op0Ob775JsaMGYP777+/XnTVhnHjxqFnz57Q6XS4fPkyjhw5Uu59BYAZM2aU2/bYY49h2rRp+PbbbxEVFYVu3bo1uF6xwQPYHA6nXiizEY+NjQVQWoEdExOD3NxcXLp0ibG6qnna2LQXd39hLYBTr7hKxT/xBGj00LtizGItQRBKiATIuqlbsJYgCC5yGhn/SZbK+1WJCYlM2Ox0ViiIVJqfNIi/zUgfVRBrCYJwrCSJtQRBoNKugSMu/gaNIJnOSsOOOUjqwlqCINyw6lhLaHC8CDjRAIAHkSS3QtAI1NcVtbo0yejhhx+2B68BQKlU4uGHH8aqVatw6tQphwB2eHg4wsPDAZQGug8cOIDnnnsOMpkMo0ePdnhdf39/e/C6jEceeQSrV6/GyZMn6+086sM+fNmyZdDr9XjttdfqS5adrCzHdTuZTFau+jw0NBShoaEAgBEjRmDo0KGYMmUKjEYj5syZU+Xry+VyPPvss5g9ezaOHj3KA9h1gAewORxOvaFWq9GrVy/WMmpNk++BLRnHWoIg3GOiYWsLIlW7Vwj0XOuq9GctQRBOltxmLUEQ/jJls5bAqUdkRAKeJitfGBIT7jLxL9xm22gkRfkraFTsFlpoWIhTgUoPbD1oOGKZiDTISbbWzb63qdFNKn6XlhTQcIrqbKXhjvAz8lhLaNQEBgYCAPz8/Mo9VrYtPz+/ytcYMWIE3Nzc8N1339kD2EFBQZW+bllb0Opet6akpKTgt99+Q7du3dC+fd3aCF6+fBlbtmzBs88+C51OB52uNFknMzPTrjUpKQm+vr5wd3ev9ev/O4gfHByMI0eOVPmcLl26oE2bNvjuu++qDWADsPcUz8kRvxNlQyCeALaVxsCLw2kMlNmCA2jU1uA15bsv+rCW4BTTIgJZSxCEKwoaCwmnzTSqdq8VZ7CW0OCM8IxkLYFTj7gRcUeQElmc9pbRWBiiQoGVRtCTgoV4lo3G4jSHw2m8dEHtF8CbIiYauXzQEwnUHzWJf34dIqeR/HVVSmMsVGCmcZ51pVu3bti8eTPS09PLPZaRUfp79/X1rfI1LBYLTCaTQ0A6IiICLi4u9gDw3ZQdq7rXrSnbtm2DzWZzqvo6PT0dNpsNn332GT777LNyj2/cuBEbN27E4sWL8dhjj9X69Tds2ODwd01tzvV6fY0D/bdu3QIANG/evFbaOKWIJ4DN4XAEQ6/XY8WKFQ7bNBoNzp07B+v/TybhWUXCYbWJ34oZAJFpJ9BG7sVagiBYXMT/vb1o1LKWIAj3uoSwliAISiL986gs8qVaaFTjeBCx7zUS6RWYQ6A6+S8DjUS+jqoA1hIE4YqFhhUzFSi0AAKAXAmNxOlkWzFrCYJQTGSMECAXf+IFlc/yQon4W8YAwFDX1qwlNGqGDh0KT09P7N69G88++6y9urioqAg7d+6EQqGwVw9nZWVVWFG9efNmGI1GB9tqtVqNhx56CDt27MD+/fsxcuRI+2NxcXEAgEGDBjmt32KxYOfOnXB3d8eoUaPq/DqdO3fGypUry22/du0aPvnkE4wePRojRoxAx44d6/T6/fv3r/Sxyt7Xw4cPIyUlxaF622w2o6SkBB4ejr3dS0pK8MknnwAo/Uw5tYcHsDkcTq1JSEhATEyM/e/c3Fx4e3sjMDCw0fe75nAaOzIi1Y9tCFilU/ksqVBIZMGkGZGea1R66NFIuwB6yGlks/vaxN9OxUdNIykq1UojcNRMRqP3LBVaSGh8ngVE+rIqIf57CgCoJTSWvots4u9p3lVKowI7wJWGU9Rpo/hdA5zBw8MDr7/+Ol555RVMnDgREydOhEQiwfbt25GZmYmYmBi7HfiYMWPQvXt3dOrUCQEBAcjPz8fp06dx7NgxBAcHY/78+Q6vHRMTg99++w3/+c9/cO7cObRq1QqnT5/GDz/8gA4dOmDatGkO++/atQtpaaWJFampqfaK6DLmzp1bTv+xY8eQmZmJKVOmwNXVtc7vQ0BAgEOQvYxTp04BKO37/e/Hr169arcBT0hIAFAadE5NTQUADBkyBJGR1TsmzpkzB56enujevTtatGiB4uJinD9/HgcOHICXlxdeeeUV+77FxcUYMmQIhgwZgrZt28LHxwepqanYuXMnMjIyMHv2bHTq1KlubwJxaNzFORxOvaBWqxETE4OSkhKHCuy7LcUHDhyIhIQE3Llzh5VMjkjpYKYxwTZJaJznPkkeawkNjp+UxsSzpY1GIDARNKrIion0ffQgspjpQWS6l2qj0WfXXeLGWkKDQ6X3bK6Vxj2lgEgP7CCZ+CsfASDNRuN7a7DRcKNpJ6XxvaWSkFBMIHk6gojv/Z8yGtfaILlH9TsRZ9y4cfD29saaNWuwatUqWK1WRERE4L///a+9pzUAPPHEE/jtt9+wefNm5OXlQalUomXLlpg7dy5mzJiBZs0c2xD5+/tjy5YtWLlyJfbu3Yv8/Hz4+/tj5syZmD9/PlxcHBPWtm/fjtOnTztsu7squqIA9pYtWwAAkydPdvp9qC1XrlwpV7V94MABHDhwAEBpf/GaBLAnTZqEQ4cOYdu2bcjLy4NMJkNwcDCmTp2Kp556CgEB/zgqqdVqjBw5EhcuXMDPP/8MnU4HDw8PdOrUCYsWLcKwYcPq9yQJIbHZxOE9W7LjPdYSGgSXCa+xlkCSmJiYchbZYjleWeV02fFqcux/7zNixAgcPHiw3H5lgeyyiuym0B/7jz/+QAtz07bwaN1SFJfxaumr8GctQRD+MNGwzmyv8GEtocHR22gswiskNBYSLERsM9VEanZNRD5PKtchExHrex+JkrWEBuekPpW1BEEYog5jLUEQbllptGtwI+JeYiCSYOJKJMktAOK/pwBAJsTffgMAQiD+pGIaoz0gj0jSRRoRN5rdyXtZS+BwmjQ0RmUcDqfBuLv6GkCTCFr/myeRy1qCU/wq8WUtQRAUBDKKAeBeIoH6fAKTskRTNmsJgjBGQcPu9TJoLMJTqX7MJlL9SAWDVfz3FAAAgf6WkSoa46AciN/qFQDyrDQqsN1kNALYQRIa7kIlRMJkf1t1rCUIApW+yXkSA2sJDY6/lEYbgxvmfNYSBEEiobHGx+FwnIMHsEWMTqfDpk2bsH//fty+fRtKpRIhISGYMGECJk+eDIWCxiSLU//4+fnZ/6/X68vZiR86dIiFrDrz2motawlOMQrir2QFQKRWDjhuotEHqJvCr/qdmjgyIpXJyQQWSwCgmEiAjErVkb+07n24mhIqIteh3400qnaLrOK/3rZV0kjMpOKOkGOmkfwVLKNhg5pOpF2Dikhv6AwLjQB2MBGb4myL+JMzlUTarfnIaATqU0w0AvWciiksLHQoiKsImUwGHx8aa96cyqGxQkUQs9mM6dOn48qVKxg3bhyio6NhNBpx8OBBLFmyBOfOncPy5ctZy+Q0Ufz9K6+M0Ov1+OOPPwCUBrNPnjyJbt26Neq+2MHzNrGW4BRdP4hlLUEQ2hHpgX2NyASbQp9dE5GAJxUMRKo3dAQCZACgILIAVkjk87QQ6VdqJhL0pMAlfTprCYLgIqVhUdxCIn7rXgC4YaORkEDFKl1OpG3MLWPTdtyrKd1UAdXv1MQpJDIfsxIp37AQcbvgVMy7776LnTt3VrlPcHAwjhw5IpAiTmNFPAFsK7/o3c3p06dx6dIlPPnkk3jllVfs26Ojo/HII49g3759WLx4MdzdxW9Dx2FHbGwsZsyYAQAwGAwYOHBgk7QYb+zIiEw85TTG8Mi30Khs8JCL3wVETiRARgV3IovwaiJVR1oiPdeoLE4HKpuxliAIFKo8rxibtjNSTZEQaY1DhTQbjWQhKt/bDDONymQXqfjnYwCdatYiAsFdGqNaIJtI+w13KY3kL07FzJo1C2PHjq1yH5WKf0c4YgpgcxwoLCwEUL5SViaToXnz5rh27RqUShoLsZz6R61WIyYmBgCg1Va9yLRx40YAwIwZM5Cbm4uBAwcCABISEmD9/4knOTk5DSe2Btz2PMv0+M4S5U1jIUFGJICtJzDxpAKVzGkqpJkKWEsQBCrW92oiVumuRBIvCogs9F00iL/NyD1UemATcUdwIxIg44gLKmP4NGMeawmC4CKjMRZSEhjbdlLQaDOSLzGyliAIl4tpuNFwKiY8PBzh4eGsZXCaAOK/uxGlR48ecHV1xZdffomAgAB069YNBoMBP/74I06cOIHnnnuOB7A5dSY29h/L6rJAtkajgV6vrzSgvXHjRvs+ABqVnXhs3mbWEpzC0orGIJ6GkRsdG9QzJeLvV6omsmgbZqORFXuByGImjfprOlVHuQT6IQJAERH3EgqL04nGxjNHaEiMRNqMUBkLRSr9WEsQBBuRsRCVqsA2ai/WEgThlplGn93+CvEngJ020xgjZJkKWUsQhC5uYawlcDicJoD4Z8BNnKFDh1b5+OHDhyvc7ufnh88++wyLFy+2BxiBUuuFd999F4888ki96uRw9Ho9VqxY4fB9K+PuwDVQWn3t4+MDgH31NQCshzdrCU7Rmkg/RCONQnMoiYSP7nMJZS2hwTmtT2MtQRBuSWhUkfVRBrKWIAgyIvagly00+iFSqTSXylxZSxAEP7kbawmceoJKwmKKKY+1BE49QsVC3F9Kw3LaTKT/bIhc/O03qOAvozEO6iKnUaRSCBrJfBwOxzlorGgQxd3dHa1bt0afPn1w3333Qa/XY+fOnVi0aBEkEgkmTJjAWiJHpNwdsOY9rxseKhZnHcw0gmRhKhp9PCksl0gkNBb5aBhOA3oiPhAeRKYHUiKL8JFyL9YSBOGEQfyuHgCQUZzHWkKD09k1mLUEQRhu82ItQRAO0SjAJoOFyLzTR0LDrTDBksdagiCoiCTzpUL86yUeRD5LFZF5ipHMSgKHw3EG8Vz5reJcCq+swro6rl69iscffxzTp0/Hf/7zH/v2sWPH4rHHHsOSJUswaNAgexUsh1NfqNVqJCcnIywsDIcOHWItp0Y8iaZdhXVCQuN3nCinYeV2zXSbtQRBUEjEX2lOJUBGxUL8qKXiFhliw41Iz2QTEfeS08ZM1hIEwY2I3atULv77ChUXiKsyE2sJguAFGr9Ni41GYDdEQqMy2UQi1RbwJDLmK7LSuN4aJOIf2xZaafSGTrEVsZYgCG5E2oxwOBznEE8Am+PApk2bYDQaMXLkSIftUqkUDz74IP78809cuHABgwYNYiOQIxrUajViYmLsva9jY2Oh0WiQnJyM4cOH49y5c7D+/wSTxmAXXhGvrW7aQYnRoGEv9Ldc/BMyAOgLGjbFuwqvsJbQ4PgpaVTTU0EmoZEhXkCkl3CEomm3D6kpqRYaC2B5VhrfW6NN/FaL143ZrCUIgrsqgLUEQSggEmxwk9BYhE+30bjWuhOp8lQTWRIuAo0ANoXvrSeRJJpzpizWEgTBh0gCKofDcQ7x392IUhZMtFZQmW42mx3+5XCcITY2FgAcel+XBbHT09Ph6+uLsLAw6PV63Lx5E8XFxQAaVzD7vWf9WUtwjg9YCxAGGvU4wGkTjWq5kR7tWUtocIxEqjeSCdjVAYAfkX6IMimNQH22lcb31kik0txApLrKh0APbCpJNLfMBawlCEIhkc8zUunHWgKnHrlOpHc7leTMbkT6CecT6CecRyQZIYhI33YdgcTM+qB9+8rXzvbs2YOIiAj73ykpKfjiiy9w6tQpZGZmwtPTE+3bt8cTTzyBBx54wOG5r776Knbu3Fnh6z755JN45ZVXqtT13HPP4cCBAxU6sGq1WsTFxeHKlStISEhAVlYW+vXrh40bN1ZztjUnMzMTo0ePRmFhIZ5//nnMnTu33D5HjhzBpk2bcO3aNeh0OgQEBKB///6YNWsWQkJC6nTchIQETJw4EWazGcuWLUNUVJT9sfz8fMTHx+OXX37BtWvXcOfOHfj5+aFTp0545plncM8999T5fCnDA9giJTw8HCdOnMCOHTvQpUsX+3aTyYS9e/dCJpOhc+fODBVyxE5ZYLusGjsuLs7eG7ux9cVu6hXYI200qshoLMEDKgLW2gBwxdR4klgaiiIiAbIeKhquAVpLMWsJgkBlMZNCJSsASIikf7VQ0HC8iJR6spbQ4BwyJ7GWIAjdiQRUbkppuEC0kNCoIrtBxNbWn0CyEADoiSS5XbPqWEsQhC4ExgiXrDSSvwKJJE57EXEvqQ969eqFyZMnl9seFBRk///t27cxYcIEAMDkyZPRqlUrZGdnY9u2bZgzZw6WLl2KSZMmlXuNZcuWldsWHh5epZ5Dhw7hp59+glqtrvDxmzdv4vPPP0dAQAA6d+6MI0eOVPl6dWHx4sWwWCq/j23atAnvvfceOnbsiFmzZsHNzQ0JCQnYtm0b9u/fjz179sDPr3YJiGazGa+//jqUSmWFhaHnz5/He++9h3vvvRdTpkyBj48PkpKS8N133+HgwYP46KOPMHr06FqfK3XEE8Am0nOopkyfPh27d+/G5s2bkZGRgYEDB6KkpATx8fFITEzEzJkzERBAw7aMIxxlAeoyEhISYLVakZOTg169ejFUVjXZT3mxluAU0g9oLE7TCKkAD0tpBAN/tInfFstAJEBGheYyV9YSBEFLxHK6j5xGtdxNG43EiyIbjYqcK9Z81hIaHCmRpIsDJTdZSxAEFyI9dt2UNBbhqSRF6YhY33tLKw48iI1sIm1GzlpyWUtocEJk7qwlCMIvxTSS+YJVNIpx6oPQ0FCHSt+K2Lp1KwoKCvD5559j8ODB9u2TJk3C/fffj++++67CAHZ1r/tvCgoK8Pbbb2Pq1Kn46aefKtynY8eO+O233+DrW5qwWVUVeV3Yt28fjh07hoULF+L999+vcJ9169YhICAAmzdvhkr1T6JhWFgY3n//fRw8eBDR0dG1Ou769etx69YtzJ49GytXriz3eJs2bbB//360bNnSYfvYsWMxYcIEvPfee3jooYcgJeJ6V1+IJ4DNcaBFixbYtm0bPvvsM/z22284fvw4FAoF2rVrh6VLl2LixImsJXJEhlqtRnJyMsLCwux9r00mEwoLC1lLq5YvlE17YcVKJIGnrZlGZfI6awprCYJgg/i/t52I2EnSMEoH1ETcESLkXqwlCIKeyDfXg0hlg5ekaY/laooLgXS+IUof1hIE4RjyWEsQhJZSGpWsMiKB3VQiSVFeRPqyUpiPAUAgkSRUBYHrkDeRMEZHFxpFDX4SGkk09YXJZILBYIC7e8WJHDpdqduEv79jm0wvLy8olUq4uFRc2W+z2VBUVAQXFxfIZNWvecTGxkKhUOCFF16oNIDt7u5eqU5nycnJwdKlS/HEE09UacldWFiIkJAQh+A1AHtBZ2XV45Vx8+ZNfPrpp1i4cCHc3Coe31ZmSx4REYF27drhypUryM7OrnXlN3VoXPmJEhISgvfee4+1DA4RyvpeJycno0OHDlixYoW9Ijs3Nxfe3t6Nzjq8jKeNTTvD2qKg4abwNxETcU8LjUF8vqWEtYQGh0qVivjDKaWoQCOAXUjEOUAqofH7NNpoBOpdiCSYGAgkXhyB+FuMAICZyG8z1Uoj4OlGJFkoUELD1jbJSsONphmR5C8qCSYUxvBWGh8lbhnFX00PAFetNByUhg4dWuXjhw8frvY1Dhw4gPj4eFgsFnh4eGDQoEF44YUXHAKmAwYMwDfffIO33noLCxcuRKtWrXDnzh2sXbsWFoulwh7RQKk9uU6ng0wmQ6dOnTB79mwMHz68wn1//fVX7NixA1988QVcXdkkB7377rtwcXHBc889h4sXL1a638CBA3HgwAG8//77mDhxItzd3XHlyhUsX74c7du3x6hRo2p8TJvNhtdffx2RkZGIjo7Grl27aqXZarUiKysLCoUCnp7ib/dQ3/AANofDqTfuDmIDgF6vdwhkN1ZCvP5iLcEpTvoHVb+TCOgtb85agiBYiCxoUoBKYJcKaUQW4an0Q/SX0eiZHAQawYZ4QzJrCYLgLhN/VSAVe/8fiFiIq6U0AruRRFx3Mm2Nd07PqT23LTT6CSslNJa+g2Xid7ygUGUOAF1UNIpUbprF3xqnFOfW+Dp16oQHH3wQrVq1gtFoxJkzZ7B161YcP34c3377Ldq2bQsAGDx4MDQaDVavXo0nnnjC/vygoCB888036NKli8Pr+vr6Ytq0aejUqRM8PDxw69YtfPPNN5g/fz4WLlyIWbNmOexfXFyMRYsWYdSoURg0aJBT51RXjh07hr1792LNmjXVBtDffvttWK1WfPXVV9iwYYN9+4gRI/D+++9XWpFeEd9++y0uXLiA7du318n+Oy4uDllZWRg/fny5inBO9YjnLm7lC/4cTmOgLIgdExODP//8EzExMY228rqMko/8q9+pMfMBawGc+oRK78ceSvFPyixEbPmo0FNCI+CZLaURwL5FxAa1iEhlg5echj1oW5n4M/bPW/JYSxCE3i7BrCUIwkWDlrUEQWghobEYecNGozLZnUjAU0qkB7YHkUrzO1YDawkNThspjR7YJoi/mh4A3KQ0fpt7D+9z6vnbt293+HvMmDEYNGgQ5syZg/feew/r1q2zP+bn54fw8HD069cPkZGRyMzMxIYNGzBnzhysX7/ewXJ74cKF5Y41ZcoUjB8/Hh9//DFGjx6NoKB/Cqb++9//QqfT4fXXX3fqfOqKTqfDm2++iTFjxuD++++vdn+lUomQkBD07t0bY8aMgZeXF86ePYuvv/4aL7zwAlatWgVlDVqKpqWl4aOPPsKTTz5Zp17ep06dwgcffICQkBC8+uqrtX4+R0wBbA6H02iIjY0FAERHR1doJZ6QkACr1YqcnMZhEejyUtNeWJH6V97zQ0w8TmTB5AxrAQLxY8FV1hIanBGetR/cchovl0HjGkQl4Bkh9WAtQRDSpTSq5W6a8lhLEIREm/gtJQssNL6zqUTsQalUYKfZxB84Aui0xzERaNcAAGoigXotERclbwIJCX9ZaFTsekppJEUZiTh/NQQPPPAAunbtipMnT8JgMEClUmHz5s1YvHgx1qxZ4xDgHTFiBB566CG8+eab2LZtW5Wv6+bmhpkzZ2Lx4sU4ceIEJk2aBAA4e/Ys4uLisGTJEjRvzsYdc9myZdDr9Xjttdeq3ddqteKpp55CVlYW9u3bZ+93PXz4cISFhWHx4sXYunUroqOjYbFYysUnFAoFvLy8AABvvvkmmjdvjnnz5tVa85kzZ/DMM8/Ax8cH69evt78mp3bQGK1wOJwGZfTo0TCZHBe8yy7+vXr1YiGJFM9YaFjWvYQs1hIEoZPch7UEQUhEGmsJDc4FI43vbBcitpktifR91BOpIkuxlbCWIAhUnCDyzTQWp4ul4u/1PVLdirUEQaBiIR6koOFewhEXSoj/WgsAetAIHnkSqfL0IJCQ4Cqj8dvMstJI5qPSn76hCAkJwfnz55GXl4eAgACsXbsWbm5u5aqT/fz80KtXLxw9ehTFxcXVWm+X9dXOzs62b1u8eDHCw8PRu3dvJCUl2bebzWbYbDYkJSVBpVIhMDCwHs/wHy5fvowtW7bg2WefhU6ng06nAwBkZmYCAPLz85GUlARfX1+4u7vjzJkzOHfuHKZOnWoPXpcxcuRILF68GKdOnUJ0dDTS09PL9Snv06cPvv76axw6dAjHjx/HkiVLkJGRYX+87L3Jzs5GUlIS/P39y1mS//7775gzZw6aNWuGTZs2oWXLlvX+vlBB/Hc3DofToGg0GkilUhw8eBAajQbnzp3DnTt3WMsixWUa8zFIrDQGt6dNmawlCEILtS9rCQ0OlcAuFajYZlKprmomoVEVSCWA3VrNphJAaMw28VcFJhFJLnEl0M8cALLMOtYSBKGZgkYCKhWoBHYtBO4pAGAkMhZKMDcOh8OGhEplMhUXCKOVhlV6Q3Hr1i0oFAp4e3sDKA3mKhQK2Gw2SCSOc3qzufS9tliqv7/dunULABwqrdPS0lBYWIgHH3ywwueMGDECXbt2xZYtW+pyKtWSnp4Om82Gzz77DJ999lm5xzdu3IiNGzdi8eLFeOyxx+yB7YrOt2xb2b9+fn4OPbIBwNOztG1TamoqgNIq7Ir44IMP8MEHH5Srej958qS98nrTpk0IDQ2t7Slz7oIHsDkcjlPo9Xp06tQJMTEx0Gq16NChA1asWOGwT5mFOADk5uYiIyMDBoMBhYWFLCSXY1FxJ9YSnKIrkfvgcRmNiacrkaBKOIGKHCqBo5Y2IgsJEhqfpxJS1hIEIZuI3Ws+ETvmfAuNoKc7kaAnBaj0fSwkcg3iiItcIvcUCklRAOAnd2MtQRBC5J6sJTQ4agmNCmwaszEgAzQclJyhrBXnv9m7dy8uX76MwYMH2/s4t2vXDleuXMGPP/6IUaNG2fdNSUnBH3/8gdatW8PDo7SNVnFxMWQyGVQqx7lFTk4O1q5dC6VSiYEDB9q3f/DBB+WcVwHg7bffhkwmwxtvvNGg9tidO3fGypUry22/du0aPvnkE4wePRojRoxAx44dAQDh4eEAgJ9++gkvvviiPSANADt27AAAdO3aFQCgUqnQv3//Co87ePDgCqvKT58+jbi4OEybNg29evVy6C3+v//9D8888wz8/f2xadMmtGjRoo5nzSlDPAFsK42BF4fTGCnrea3RaJCcnGz/f1nQ+vjx48y01QSN12OsJThFbPNzrCUIgsRCoyqwo6z84FSMUKhsoGIhDiKV5kU2Gr2hlUQsxAusNALYLkT6z5qI9NDLMYvfCcKdSHWVF4FepQAPYHOaJlSuQ1Sg0mdXSmC5pAWqtj4WC/8za1lLEASrjUaCuDOsXr0aZ8+exb333ougoCCYTCacPXsWBw8ehJ+fH15//XX7vgsWLMC8efPw8ssv4/Tp0+jQoQMyMjKwefNmGAwG/Oc//7Hvm5SUhKeeegpDhw5Fy5Yt4enpiZs3b2LHjh3Iz8/HokWLEBAQYN//3xbbZSxbtgwymQwjR44s99i/K6VTU1Pt21q0aIFx48bV+H0ICAio8BinTp0CUBqwvvvxyMhIjBw5Evv378e4ceMwefJkNGvWDGfPnsWePXsQFhaGKVOmVHvcli1bVmj9XVxcmnzRuXNnh+NevHgRzzzzDMxmMyZNmoTff/+93HOHDx9erY07xxHxBLA5HA5zYmNjodFo7NXYcXFx0Gg09qytssyxxhbQlsSWz+JqSnR97wHWEgThJJE7FhULcQqVRzYiFdhUoGKtXUAkUB8m82AtQRAURL63dwgEdgFASaC/ZZopn7UEQeisCqh+JxEQpqSRmMkRF3csNO4pNiLBoxCF+CuTAcBAoKL+FpGK3aQSGonwXgp31hIaPX379sWNGzewZ88e5ObmwmazITg4GDNmzMDs2bPh6/tPa74hQ4bgq6++wrp167B//35s2bIF7u7u6Nq1K2bPno0+ffrY923evDkGDBiAM2fO4Mcff0RJSQm8vLzQq1cvzJgxA71793Za+78rppOTk+3b+vTpU6sAdl1Yvnw5unXrhvj4eKxevRoWiwX+/v6Ijo7GvHnzHKqy64u///7bXsz30UcfVbjP4cOHeQC7loh/BszhcATl7mrsskB2WFiY/QKekJBgtyxpLBbi7z3rz1qCU3SMZa1AGKj06KJyngbe74jTxMgk0sdTKqER8JQRMecrshpZSxAEmYTG50lhEZ5KslAeEReIVCIJCUNUIawlCMING43A7r0KGgkmVyw0fp9+EhqOFzqIf35929I41hAbmsEe7VhLEIRcImMhZxg6dGil1c8V0bt37xoFn/38/LBs2TJnpAEAjhw5UuljiYmJTr9+dfTt27fS4ygUCsycORMzZ86s9+NOmDABEyZMqPF2jnPwADaHw2kQygLZMTEx0Ov1WLFiBTQaDZKSkqBSqWC1WuHj44OcnBzGSoGjM0+wluAUPayzWEsQBIWMRr8jTxmNCXYBAUtJKovwVKDS05zKacqI/DwlRBIS8ohUYOsI3DsVRPpb6q003C7URNoYpNloLMJTGdse0SezliAIVK63VKCQyiclcg1KMGWzliAIxRYa904Oh+Mc4glgE6lY43BYcndf6zK02qp7s6jVantf7NjYWMyYMaPR2Ygf6hPBWoJT7Dg8iLUEQaDS35JKtRwFe20qtnwtbTT6BN4isgjvIRG/vT8ANCfSf5bCtRYAUoh8nummPNYSGhxfObeTFBOuBGzvASBQQmQsRKQCm4qrRwelH2sJgmAEjfViDwLX2+tmGq4BZiJrX62UPqwlcBhTWFhYLs7wb2QyGXx8+HeFMuK/u3E4nHqjrJL6bmJiYqp8Tllf7LLAdUZGBi5dutSQMmtN8LxNrCU4xWMffcFagiD0RHPWEgQhDzQqcmQEsqfPGmn0M0+S0MicpuAaAABGifjtBwGggIhlnd5G4/OkUpFDAa2pgLUEQWgmd2EtQRCyibTfaKeikXhBpQKbSvAo00qjn7CVSDKfRSr+RJp75TSSLn630KjAzrWUsJbAYcy7776LnTt3VrlPcHBwlVblHPHDA9gcDqfBKQti6/V6BAYGIjAwsFEFse+Z3o+1BKcYbFjPWoIgfCG/w1qCIJQQsZTsoBB/BmVXpT9rCYIQRqQC+7qURmWymkD1BgB4EVjkA4AsK42FISqOF33V4u+ze8aQzlqCINwx0QjsUqlkpWIhTgU/uQdrCYLgJqHhLkTlPGUE2sbcttFIKKaSOE1l3smpnFmzZmHs2LFV7qNS0Zi3cyqHXyk4HE69URakzs3NRUZGBu7caRoBx6ZuIb7/0P2sJXA4teZY0U3WEhocbwWNapzTRGzvdWYaCwklZhqL8P5qL9YSBIFKf0uFlMa09rQ+lbWEBuceFY3krwfNNMYINxQ0kktu2GgkC001uLGWIAjLZTQSTIpsNBKnTUQsxP0k4m+nUkDkO2sl0iZVKhV/0gWnasLDwxEeHs5aBqeRQ2Omz+FwGpSywLVWq0VYWBgyMjJgMNBYAG8M/KWiUdlgs9BYAKNicTbMrS1rCQ3O70SqyKxEKh9VRHpgK5U0pge855q4yCRiU2whsKCZaGwaCbDO0krlylqCIKQQqZajwmE1DWttk5HGeeYYadw7g5XerCUIwh0C7XECpOIP0gNAOpEEVDmR8+RwOM4hnhUqq/gn8xxOY0Wv10OtViM7OxvJyclwcXFBYWEha1k1Zvjpv1hLcIoY42zWEgThJzmN7Myh8iDWEgQhA+Kv2pUSsc2UErCrAwBXGY1+pcUW8S9+AUCglMbnqQCN65BeRiPY0ELhyVpCg0OlP/2ekhusJQgCFQvxzqpA1hIEIZ1IQgIV9xIqgd1wmfjvnQDwlyWftYQGJ99G47dJpahBaypgLYHD4TQBxBPA5nA4TFCr1UhOToa/vz/2798PjUaDQ4cOsZZVKwZvGMBaglNYQjuwliAIVPpbZoGGLdY1cx5rCZx6gkoFNpXALpWEhBMlyawlCEKQ0ou1BEGg0tO8vUT8ttM6GY3KZLOCRtJFrrmYtQRBaCGhcQ26aaPxefoQSVrUEWkDpCWSeNGWQKBeT8QOPlxBwynqjpVG+w0Oh+McPIDN4XCcIjY2FjExMQ7bBg4c6PD3+fPnUVxcDIlEApOp8QXnNF6PsZbgFP/1/ZO1BEGQWWlUcKiIVMu1ljdjLaHBuUzEBpVKwJNKD2wqVm4KKY3zTDfmsZYgCG4qP9YSBOGsNZe1hAZHLaGxRKGS0GhLMVzdkrUEQUiz0Uhyo4LWUsRagiB4EEn+yiPi7HGHQIJJuNyLtQRB+ItIsn+uiUYbAw6H4xw0ZoccDkcQNBoN0tPT4e39jxXV8ePHGSqqGSPGz2MtwSleOjSLtQRBOE5jnQ9nTFmsJQjCIIX4rRYvsxbAqVf8leJPugCAEiLVOD5yN9YSBMFMoGcyAHSX0Ph9noP47UFTTHmsJQiCh4xGH8+fDbdZSxCESCWNJBoqUGm/UWChkZx5j7I5awmCcINA0LPIZmYtQRAKiLiXqKREFvk4HI5TiCeATcS+ksNpjNxtI75x40ZoNBro9aWTobursXNzc5GRkQGr1YqcnBxWcsvR1C3E/wynYSFuMdNYhLcQCTbsJtD7cZALjaqjn0uSWEsQBDepkrUEQVBLxTM94ADuRL63xyxa1hIEIVjmwVpCg0Ol7yOV3tAccWEj8vs02mhY/HsTsUo3EplfWwisi2stNAK7PnLxt4wBADkfC3E4nBrAV6g4HI7T/NtGXK/XY8WKFQ77aDQaeHt7w2QyIS4uzmH7uXPncOcOO6vdp41Nu9pss42Gfa+EiE0xlfM0WBtfO4H6phg0Fr+ooCeS8U+l1zeV6sc8In0fqdigaq3iX7gNVXixliAIHhIaySWRKi/WEgQhzyb+cS0ASEBjnmIh0meXxlkCxaAxhm9JoEWXici3NtNCw1o7wyh+Z6H6QKfTYc2aNTh48CBSU1OhVqvRsmVLTJ06FVFRUfb9SkpKsGrVKvzwww/QarXw9/fH6NGjMXfuXLi4OCYsbdy4EUeOHMGNGzeQn58Pd3d3tGzZEpMmTcK4ceMgk5Vvt2U0GvHVV19hz549SEpKgkwmQ0hICMaPH48ZM2Y47Gs2m7F+/Xps374dqamp8PLywtChQ/HCCy84uLbWlNOnT+PAgQP4/fffkZaWBgAICwvDww8/jMceewxqdfm5/aFDh7BhwwYkJCTAZrOhXbt2mD59OsaMGdOgx72bn3/+GU8//TQAIC4uDr169arxsTn/wAPYHA6nXtFoNNBqtQ5/6/V65Obm4tKlSwDQ6C7YPv7TWUtwitYef7KWIAz8jiUqhri1YS2hwTERqVKhAhV3BLWMRlCFSnUVFXLMNPqVusvEH6inEiArsBayliAIV4lYFHMLcU5TRGsqYC1BEIKVXqwlCIKrRPwLJoESGgmol0zprCUIgtFKI7nEGTIzM/HEE08gNzcX48ePR3h4OEpKSnDr1i17QBUALBYL5syZg9OnTyMqKgq9e/fG1atXsW7dOly4cAEbNmyAVPpPxfvFixcRGBiIgQMHwtvbGzqdDj///DNee+01nDx5Eh9++KGDDp1Oh6eeegpXr15FVFQUoqOjYTKZkJKSgtu3y7eL0Wg0iI+Px+DBg/HUU0/h9u3b2LRpE86ePYvvv/8erq6utXofli9fjrS0NAwfPhyPP/44TCYTDh8+jPfffx979uzB5s2boVL9M09au3YtPvzwQ4SGhuLZZ5+Fi4sLDh48iJdeegkZGRmYNatmrThre9x/v2dvvfUWXF1dUVws/iTkhkT8dzcOhyMId9uI+/v727eXVWOXVWA3hZ7YTQ0ay3wcsaEnkD2daMxmLUEQQpW1z6Btitwy0Pg8pURcIKgEyah8nlQSTIIU4q+uaiOlYZt5uOQWawmC0Erly1qCIPgSqahPs5WwliAISgKBQADwU9K43maaaSQMJVsbT5u+hqKvOoS1BEFwIdICKN9EIwHVGV5++WUUFRVh9+7dCAoKqnS/nTt34vTp05g2bRreeOMN+/bg4GB88MEHiI+Px7hx4+zbP/roo3KvMWPGDMyePRvx8fGIiYlBixYt7I+99957+Ouvv/Ddd9+hQ4eq21j+73//Q3x8PIYMGYLVq1fbt3fs2BHPPfcc1q9fj/nz59fk9O289NJL6NmzJ+Tyf+7P06ZNw0svvYS9e/di27ZtiI6OBgBkZ2dj5cqVaN68OXbs2AFPT08AwNSpUzF79mx8/PHHGDlyJEJCqr+e1Oa4/2bZsmWQSCSYMmUK1q9fX6vz5TginlGZlcaiBYfTWLnbRlytVtv/r9VqodFokJ6eXiebECHI0W5iLcEpLG27spYgCD1kPqwlCEKihMYEmwJmIhWeKcZc1hIEwUNOo08gBXt/AGhGpO8jFR+IDGMeawmC8Lc+k7WEBueOgsZiJpV7iolIckm2rWm3pOI4IiWS5EahZzIABMo9WUsQhJsGdm35hEJHpF1DF1UAawmCUGLl986qOHPmDE6ePAmNRoOgoCBYLBbo9Xq4ubmV23f37t0AgJkzZzpsf/zxx7Fy5Urs2rXLIYBdGcHBwQCAgoICewA7LS0Nu3btQnR0NDp06ACr1Yri4mK4u1ecBFWZlgcffBDBwcHYvXt3rQPYffv2rXD7qFGjsHfvXiQmJtq3nT17FkajEUOHDrUHr4HSdo3jxo3D8ePHER8fj7lz59brce/m9OnT2LJlCz777DNcvny52uNwqkY8AWwOh9NoiI2Ntf8/JiYGer0eGzdutG8rC2hnZGQw7X1dRlO3EE/0/ZO1BEH400IjSFZCJHh0xyJ+Cx25pHzfIDESSqR6I9WUx1oCpx4pJrJgIiFSge2r8GAtQRB0BOyYWxHo4QkAOVYDawmCoCQyFuJwOI2XQqv4750AEKAQf6BeZ6NhOU1ljEBlvWTo0KFVPn748OEKtx87dgxAac/lBQsW4OjRozCZTPDz88Pjjz+Op59+GjKZDDabDRcvXoS/v789AF2GWq1Ghw4dcPHixQqPkZ+fD4vFgvz8fJw4cQLbt29HaGgo2rZta9/n+PHjsFgsaN++PV577TXs27cPer0eXl5eiIqKwosvvujQC/r8+fOQSqXo1q1bueN1794de/fuRV5eHry8vKp8X2pCZmZpcm/z5s3t24zG0nn+v/t+A7DrPH/+fL0ftwy9Xo833ngDI0aMwJAhQ3gAux7gAWwOh9OglFmLl/XCBoDc3Fx7NXZjCGCHFPRgLcEpvgz+k7UEQfhFTiND3EzAWhugY/dKASoV2FRsUAsIBMgAQEFkwcSdiAVhroWGrS0FZ498IpWsVAK7ciKVrBxxQWU+piMSJPOXla9WFCPe0or7sIqJbCLJCKlE5tdUnL+AurnuXL9+HQDw+uuvIyQkBEuXLgUAbN68GStXrkR6ejreeecd5OXloaSkBO3atavwdQICAnDu3DnodLpyVdPjx49HamoqgNLE5/79++Ott96CQqEop+Ojjz6Cp6cn3njjDbi5uWHXrl3YtGkTrl+/jrVr19oTpzMyMuDt7Q2lsvw8NCAgwL6PswFsnU6HtWvXQqFQ4OGHH7ZvDw8PB1BaBW2z2RwSuk+dOgUADv3D6+u4ZaxcuRK5ublYtGhRnY/BcYQHsDkcToNSZi1e1gsbgD2YfenSJQCAQqGAyURl4FL/mImsC9mIWJypifRc66YQfzDwuCGVtQRBoNIDO9ko/r5yABBIoMcuAKQYaHyeNiIm4v1cw1hLEIQAufgdL64RsEAFAD8irgFyiaL6nTicRkYnRfmKKjGSYaWR/KUnUrWrgLr6nZo43SU05ilGpfgTFgE6v83Dhw/V6XlFRaVtdVxcXBAXF2cPCI8aNQqjR4/G1q1bMXPmTHulcUUBYwBQqUqTW0pKSsoFsD/88EPo9XpotVocPnwY+fn5KCx0bGtYpsNoNGLz5s3w8Slt7/jQQw9h6tSpOHHiBH799VcMGDAAQGkFcrNmFf9Wy7SUFbjVFbPZjJiYGKSmpkKj0aB169b2x9q3b48BAwbgxIkTePXVV+3v0cGDB7Ft2zanjl/VcQHg4sWL2LRpE9566y34+fnV/QQ5DtBYJedwOIJQVm1dHWUW4xqNBidPnix3cxSa255nmR7fWX6ksf5Fxgb1XhmNBZOjxrpnPDYVqHxnqVhrK4kkl1CpwJYS+X2CSPXjL7qbrCUIgkwiZS2hwfEk0hs6jUjfdgrfWQDorApkLYFTj/yhF/88BaAzV/GT01gwSTSLv2r3LyLjWipt5ehUYNeNMrvrhx9+2CE4rVQq8fDDD2PVqlU4deoURo4cCeAf6+x/YzCUum1UZKnds2dP+//Hjx+Pd955B1OnTsWePXsQGhrqoGPQoEH24DVQeg+ZMGEC/vjjD5w8edIewFar1dVqudtyvLaYzWa89NJL+OWXXzBr1izMmDGj3D4rVqzAW2+9hd27d2PXrl0ASu2+3333XcTExDgE8rOyshyeK5PJHM6zpsc1mUx47bXX0L17d0yePLnO58cpj3hW4qw0LH44nMZMWbX1v6nIRhwotRJv2bIlMjIyYLVakZPDphoqL3ABk+PWF3Ldk6wlCIKUyGTlhCmTtQROPSEh8p2lgomAdS8AFFlo2EnSCWDToJnClbUEQdCZaSSYUCCYiHsJFat0jrgIJNBLGKDTfsNgoxEko5BsqyJwjgCgNRWwliAIfL2kagIDS5PjKqrkLduWn58PLy8vuLi4ICMjo8LXyczMhLu7e7nq64oYN24cvvnmG+zatQsLFixw0OHv71+ljrt137p1C0ajsVxVeFnv6LLXrC0mkwkvvfQSDhw4gKeffhovvvhihft5enpixYoVWLRoEW7cuAGVSoXIyEgkJSUBANq0aWPftyzwXkZwcDCOHDlS6+PGxcXh77//xmeffeZQ3Ff23mi1WiQlJaFFixYOFu2c6qFx5edwOEypyEa8DI1GA5PJhLi4OPvfhw7VzV6lrnhlfCLo8eobq/jdJElhJWL3mm1i67wgBN4KGj/OYIUXawmCcJOIrW0JkQC2O5EqTyoUmmkswlOpZqUAlU8y3ZRf/U4ioJmS20SKiTQi31sqCeJU5tdymfgThoqtFVd1io1iIgmLIWoa7oN1pVu3bti8eTPS09PLPVYWrPb19YVEIkGnTp3w+++/IzU1FcHBwfb99Ho9EhIS0L179xods6xC+u6AdLdu3QCgWh1ldOnSBTdu3MD58+fRu3dvh/3PnTuHsLCwOvW/NhqNeOGFF3D48GHMnz/fHmCvCh8fH4dq6mPHjgEAHnjgAfu2DRs2ODynzOa8tsdNTU2FzWbDs88+W+HjZQV/P/zwA9q2bVutds4/8AA2h8MRhMrsxWNjY6HRaBATE4Pc3Fx4e9OoRuDUHioTTyoEKb1YS2hwjEQqdqlYiLtIK+4pJTaoZMJTOU+1lGd3iwk5gWrWdkrf6ncSARmWItYSOBxOJbRT0QiqFBKx76VSge0lVVW/UxMnl0iro25uYawlCMJVPXcfrIqhQ4fC09MTu3fvxrPPPmuvoC4qKsLOnTuhUCjs1cNRUVH4/fffsWHDBrzxxhv219i8eTP0ej2ioqLs24qLi2Gz2eDm5uZwPJvNhq+++goAHALePXv2RFhYGI4ePYr09HQEBQUBKLXU/v777wEAgwcPtu8fFRWFXbt2Yf369Q4B7IMHDyI1NbVGged/YzQa8dxzz+Ho0aOIiYnBM888U+vXSElJwZo1a9CmTRu77ToA9O/fv16O+8gjjzhYspfx448/Yv/+/Xj++efRpk0bBAQE1Fo7dXgAm8PhCEJsbCxGjhxZzmI8ISEBd+6wrWobMX4e0+M7y/BfZrOWIAy8U4SooFBFZiGyWGK10Ugu8VHQqNiVWcT/2wQAH7lb9TuJgEIrjYp6D1nd+6g1JdwIJNJQGe55SWl8Zy02Kp8oDYIkNL63f1to2PdSoRmR620RgYQEC5FRApX+9K1UNJIW64qHhwdef/11vPLKK5g4cSImTpwIiUSC7du3IzMzEzExMfZg8oQJE7Br1y58/fXXKCwsRK9evZCYmIhvv/0Wffr0wdixY+2vm5SUhKlTp2LEiBFo3bo1vL29odVqsX//fvz1118YOHAgHnroIfv+UqkUS5YswezZszF58mQ8/vjjcHNzw969e3Hp0iVMnjwZXbt2te/fv39/jBkzBnv37sUzzzyDoUOH4vbt29i4cSPCw8Mxc+bMWr8X//nPf3D06FH06NEDQUFB2L17t8PjYWFhDkH3tWvX4s8//0S3bt3QrFkz3LhxA1u3boVSqcTKlSvLWZvXx3EjIyMRGRlZ7jX+/vtvAECfPn3Qq1evWp03pxTxBLD5xIjDafSU9bgoq7ROSEiw25OwZPCGAdXv1IjpGNqBtQRBOCGeO1aVUKk0v15ccX8eMRGgpuEoEUqkjyeVPoF+chrW9wVEArueRBZt/aQ0EkzybeK3zvzbSKNdQ3Mi11pfGY3+9FRIt9GofgyS0UhyMxFZR3Un0je50GZmLaHBKbSJ34kGAHwl4q+mB4BcGnnTTjFu3Dh4e3tjzZo1WLVqFaxWKyIiIvDf//4Xo0ePtu8nk8nw5ZdfYtWqVfjxxx+xb98++Pn5YebMmZg3bx5kd7UYCAgIwLhx43DmzBkcPnwYOp0OHh4eiIiIwJIlSzBx4kRIpY4fTr9+/RAXF4dPPvkE69atg16vR+vWrbFo0SJER0eX0/3+++8jIiICO3bswNtvvw0vLy9ERUXhhRdeKFf5XRMuXboEADh79izOnj1b7vHx48c7BLDbt2+Po0ePYs2aNSgqKoK/vz+ioqLwzDPPVNhTvL6Oy2kYaNzFORwOUzQaDfR6vd0ePCMjA2lpaTCZTCgsZN8H97XVWtYSnCK/bTPWEgTh81s0bFBtRKpZH/Isn5koNs4YxB+kB4AUYy5rCYJgI5JcUkgkUE/FOSBPQsOmuEBOI0hWRMA6k4JNOgCMBQ2L4qtS8VcEAoArka7mBiJjoYPFN1hLEAQ/hQdrCYJApW+yP4HPM1RKI7nkREn59otiJEzpU/1OHDzwwAMOPZsrw83NDS+//DJefvnlKvfz8fHBokWLaq2ja9euWLt2bY32VSgUePrpp/H000/X+jgVceTIkVrtP3DgQAwcOFDw41bEggUL6mSbzvkHHsDmcDj1ilqtbnKWGO89689aglOMiaVR/QipjrUCQfCW0agi0xOx/+JwmhoqIj2T/eTiX+SjRIFV/IFdKrRU0BjXHpOwT+IVArOVxnjPTULj3mmAhbUEQQhXN+31gZpyx0IjyY3K2LaEgIW4lUauEHyJuLRwOBxOTeABbA6HU6/ExsYiNjYWQGnl9blz55j3uBY7r0pp9OiSEalsoGJT3Fom/uARld5Vk9VtWUsQhAPmdNYSBIFCj10AMNtoLMLrCdhJAkBHBY0eeqctqawlNDi3jDmsJQhChKrm9oVNmTwiySVuMhoBMio9sK9a81lLEAQqYz4q6witZOIPel4z0/ht5phpJJd0c6HhRsOpmMLCQuj1VY8TZTIZfHx4pT51RBPAtllpWBlxOE0JvV6P/fv32//WaDRITk5GWFgY0tPT7b0kWHN05gnWEpxCjXGsJQgClWBgEJGqQCOvwBYNyRIavYSloHENMhEJ7FL5PJVE7Ji9QCN4RAEqgd1iIsklVJyFqEClBzaFSlYAKCFire0jp2E7nWcT//fWnUjShb86kLUEQUiy0gjUcyrm3Xffxc6dO6vcJzg4uF5svDlNG9EEsDkcTuOhrOe1VuvYWzo2NtYexI6Liyu3f25ubqMJanM4rCiw0ggG+ktpVHBwOE0NKoFdKnhKVawlCEIexL9oCwASAr/Pv400nJuMVhoB7AgiVswccVFAxBHLVUZjjNCMyFiIwjqCkUiirUlKI9mfivsgp2JmzZqFsWPHVrmPSkXj+s2pGh7A5nA49Y5er8eKFSsQExNT7rGyIHZj6pN9ZdP/WEtwiq5hNAa3Epv4F20BOhn/vcziH4iesXF3GDFhJuIaYLbROE+1hMY06I6lmLUEQQiU0qjyVBCoqG9GpGLXX+nKWoIgGIjcOwMl4h/XAsAtG41quR7qINYSBOG6KY+1BEFwJzLmK4D4K+qby2jcO9PMhawlCAKV+RinYsLDwxEeHs5aBqcJwK8UHA6nwUhISHAIYickJDTKftj3TO/HWoJTUOnpRMVCnMp5npKL34JQbhV/oAEAWtpoLNrq5d6sJQhCMpHect3lNHom/23VsZYgCB5EprXBimasJTQ4VBYz/zZms5bAqUdclTS+txRcIAAg00qjKtCdSAW2mUhSMYW2MVQSM2VE1oSKiLQx4HA4zkFjlM3hcBqcMhtwAHbr8MDA0r4tubm58Pb2RmBgIDp06IDjx48z01kRCdGsFThHl6M0KhtkNhqBehuRCXZHq/gtxNXKANYSBCEJ4rerAwArkd9me4UPawmCcNlCI1BvINAPEQDUUk/WEgTBTSL+Xt8JBm31O4kAI5Ee2C5E+pVSwQYaYyEqbjQWIufpLqex9H2HQOIFlQrsCyVprCUIAm8zwuFwaoJ47uJWGgMvDqexUmYbDsBedb1x40YAjsFtABg4cCAANJpA9txhA1hLcIoToBFsoIKLVPyL0wDwC8QfPEox5LGWIAjdVDQC9VR6Q2fbaCQkUAkeBcncWUvg1CN/EekPTQE/hQdrCYKgs9C4p1CBSgW2jMh5ehMJBhaDRt9kb6n4E8QzLTTaGPRxDWUtQRC0RCrqORyOc4gngM3hcJhQFpwuq7oGSiuuY2JikJCQAOtdySU5OTksJIoeKgsJVDDaaEywmxOYYKdKaLgGUEFN5PMMhhtrCYKQKuPTIDERYqHx+wxTir+VwS0jjfmCn4zGtdZCxL2ECkES8Y/fAcAqo3GeKVYawcDuoJHMt9+SwVoCp564oKfxWboTudZyOBzn4Cs3HA7HKcoqr+/udR0UFAS9Xo/AwEBcunSJobqaofF6jLUEp4jy/om1BE49IrXRSEjoZBV/zzWL0o+1BE49ctNcwFqCIGQSsXtVEElIKLDSqH68IqPhXnLHJP5gAxW3iwR9JmsJgiAjcq2FXPz96QEg3aavficRUESk/Ua6UfyOWAAgU9G4DjUjkCDuKaExT8kyFbKWIAhFROYpHA7HOXgAm8Ph1AtqtRq9evWy/+3jU2prrVQqYTQaWcmqETnaTawlOIU5IpC1BEGQgcbEs5PCl7UEQaDQ+eOikUYfz65KGr2rXIkEdj0I9NgF6FgQUqGtlcb39m8C16EuiuasJQjC0ZJbrCUIQigB1wCO+PAhUmluVNBw/gqV0LBKv2XTsZbQ4LhLaIQxuqpbsJYgCH8Up7CW0OjR6XTYtGkT9u/fj9u3b0OpVCIkJAQTJkzA5MmToVD8Mwe6evUqvvjiC5w/fx5ZWVnw9fVFx44d8dRTT6FHjx4Orztt2jScPn26wmMuWrQIU6dOtf/9ySef4NNPP61S5y+//IKAgH9ay6WkpOCLL77AqVOnkJmZCU9PT7Rv3x5PPPEEHnjggVq/D0eOHMHhw4fx559/Ii0tDSqVCi1btsSkSZMwbtw4yOXlrw1HjhzBpk2bcO3aNeh0OgQEBKB///6YNWsWQkJCGuS4GzduxJEjR3Djxg3k5+fD3d3dYX+ZTFbrc+eIKYBtI7ASzuE0YmJjYwGUVmSXWYebTCZYrVYoFAqYTI03iznE6y/WEpxC5k9jcCuR0KjIuW6hUeUZIRH/AjUVe/+TJbdZSxCEMJUPawmCQKXvYxsi1XIuRJK/rqJxJ0vWF6n6PNYSGpwuMi/WEgTBS07DQrzISuO36SUTv7MQALSQuLCWIAjJRKy1PaU0vrd5aLxrUfUJhVVxGrMUQC2hEeSSElnjqytmsxnTp0/HlStXMG7cOERHR8NoNOLgwYNYsmQJzp07h+XLlwMALly4gOjoaHh5eWHy5MkIDAxEWloatmzZgujoaKxZswYDBgxweH1vb29oNJpyx+3SpYvD38OHD0dYWFi5/dLS0vDxxx+jY8eODsHr27dvY8KECQCAyZMno1WrVsjOzsa2bdswZ84cLF26FJMmTarVe7Fo0SK4uLhg2LBhaNu2LQoLC7Fv3z68/vrrOHjwIL744guHNeNNmzbhvffeQ8eOHTFr1iy4ubkhISEB27Ztw/79+7Fnzx74+VXvmFjb4168eBGBgYEYOHAgvL29odPp8PPPP+O1117DyZMn8eGHH9bqvDmliCeAzeFwmFNmJ16GRqNBenp6k7AR53AaC3IiVotHkMdaAodTK8xEkiULiAQCbRB/JSsAWCQ0+s/etoi/6ggAwlXib01xyECjGqelgkZl8g1jNmsJghAs82AtQRDSbCWsJQgClcRpKvgRGfNl2IpZS2hwsmzcclpMeCto9KevK6dPn8alS5fw5JNP4pVXXrFvj46OxiOPPIJ9+/Zh8eLFcHd3x1dffQWj0Yh169YhIiLCvu+wYcMwYcIEbNmypVwA29XVFVFRUdXqiIyMRGRkZLntH3/8MYDSIPXdbN26FQUFBfj8888xePBg+/ZJkybh/vvvx3fffVfrAPby5ctx7733Otyfp0+fjmnTpuHYsWP45ZdfHCq7161bh4CAAGzevBkq1T/JWmFhYXj//fdx8OBBREdH1/txP/roo3KvMWPGDMyePRvx8fGIiYlBixY0itDqEx7A5nA49UZCQoJDL+zjx48zVFNzgosHspbgFG1b0rD+khOpIiu20fg875OL33b6R1seawmceoRKFVkJkSqV6+Y7rCUIgg00Atj9XEJZSxCE0/pU1hIanAgCQXoACCZiaeupphE4MhFJcgsgYq0dZqPRluIcaCR/FcLMWoIgtJN5spbQ4FAJYAdIaLgjdJbzAHZVFBaW9kL393dcO5PJZGjevDmuXbsGpbJ0nKXT6Srct6wy2sWlYgcVq9WKoqIiuLm5QSqt+ZqrxWLBjh074OrqijFjxjg8VpkWLy8vKJXKSrVURb9+/cptk8lkGDlyJM6cOYPExESHQHJhYSFCQkIcgtfAP++HWl2z8Uxtj1sZwcHBAICCggIewK4DPIDN4XCcRqPRQK/Xo6SkxKECOyYmBitWrLA/DpQGue/caVyLxk8il7UEpzghoWFrSwUqvb4TCfTokpIxOaMBlc/TRCSJxkIk2OAupxFsiLTSOM8cAsHd6wYaFbt35OKvlAOAXDON8+ysCmQtQRAyiFRg6yU0xkJUEi+MJMy1gVSr+K+3OiuNALZSRmNNqERC47dZV3r06AFXV1d8+eWXCAgIQLdu3WAwGPDjjz/ixIkTeO655+wB7AEDBuDo0aN46aWX8Nxzz9ktxFeuXIlmzZrhySefLPf6mZmZ6NGjB0pKSqBQKNCzZ0/MmzcPffr0qVbbL7/8gszMTDzyyCNwd3dMRBgwYAC++eYbvPXWW1i4cCFatWqFO3fuYO3atbBYLJg7d279vEH//xwAwNfX12H7wIEDceDAAbz//vuYOHEi3N3dceXKFSxfvhzt27fHqFGjGuS4ZeTn58NisSA/Px8nTpzA9u3bERoairZt2zp1XKrwADaHw3GaMuvwESNGlHuszEbc27vUJi8wMLDRBbA1Xo+xluAUY70OsZYgCNzKTVzcIxG/1WKSJI+1BE49QiWwm08k2ECl55paQqOKjManCagh/p6IVMZ7D8poBDx/k+axlsCpRyRErraFNhoVu9kWGgkJLjIaS99BUvE7e9ikta/cbIqkWIpYSxAELymNSvOhQ4dW+fjhw4cr3O7n54fPPvsMixcvdnA7ValUePfdd/HII4/Ytz322GPIzMzEN99842DpHRERgS1btqBVq1YOrx0cHIyuXbuiffv2cHFxQWJiIr766itMnz4dy5cvx+jRo6vUvGXLFgDAo48+Wu6xwYMHQ6PRYPXq1XjiiSfs24OCgvDNN9+U67FdVzIyMvD999+jWbNm5d7jt99+G1arFV999RU2bNhg3z5ixAi8//77daoCr8lxyxg/fjxSU0udsyQSCfr374+33noLCgWNuXl9I567uJWGPR6H09i5u9paq9XC398fQUFBOHSo8QZZQwp6sJbgFJ1D97OWIAhUKpOpUEwgE55KhScVsk2FrCUIgpfCjbUEQTBYaVil55jF73YBAATiugCAv4yNKwm0IRikCmEtQRCOWsT/WQJAOAFLWwAoIBLwpGIhbiAwTwGAXAmNmyeVpMUSAsm2hTYaLZ0CZeJPRgCAZHMBawmC4MxKpru7O1q3bo0+ffrgvvvug16vx86dO7Fo0SJIJBJMmDCh9BhSKQICAhAZGYlhw4ahVatWuHXrFtatW4dZs2Zh06ZNdhtrAHj//fcdjjNs2DBMnDgRY8eOxZIlSzBkyJBKg7xarRbHjh1DREQEunbtWuE+fn5+CA8PR79+/RAZGYnMzExs2LABc+bMwfr163HPPfc48a4ARUVFmDt3LnQ6HT755BN4eXk5PK5UKhESEoLevXtjzJgx8PLywtmzZ/H111/jhRdewKpVq+zV6/V53DI+/PBD6PV6aLVaHD58GPn5+XZLeE7tEU8Am8PhMMfPz89ejQ3AIUNs4MCBTaYndlODyoSMin2vlUi/0mCr+BdMZBKedCEmWqvFb90L0Em8cJGL3wUCoNO73UJjiIBWSm/WEhocI5FxkD+BSjkASLfSqPB0I+J2QcVC3IPI5xkio9F/No9I0LMZge9tewIubgCQBRrf2RIiCcUnD/9cp+ddvXoVjz/+OKZPn47//Oc/9u1jx47FY489hiVLlmDQoEHw8fHBRx99hA0bNmDnzp2IiIiw7ztgwABMmDABy5Ytw8qVK6s8XkBAACZNmoQ1a9bg3Llz6N+/f4X77dixAxaLxaHS+242b96MxYsXY82aNbj//vvt20eMGIGHHnoIb775JrZt21abt8KBoqIizJkzB1euXMGiRYswfPhwh8etViueeuopZGVlYd++ffZ+18OHD0dYWBgWL16MrVu3Ijo6GhaLBTk5OQ7PVygUFQamqzvu3fTs2dP+//Hjx+Odd97B1KlTsWfPHoSGhtb53KnCA9gcDqfe8Pf3d/hbrVbj5MmTaNGiBeLi4hyqs8uC2UqlEjabDSYTjYFLQ2C10Vjok0honCeVYIMLgWDDPUoaAc8zJamsJQgCld+mkkg1jpZIZbKCyOfpSSPvAi1k4rfOTCHQwxMAWktpuF3ctPE5Hqfp0QI0bG3TQKOfcBsJjettpk38n6eeSM/km+Z81hIEwZvAuNYZNm3aBKPRiJEjRzpsl0qlePDBB/Hnn3/iwoULuO+++7Bx40a0adPGIXgNAO3bt0ebNm1w6tSpGh0zJKTUCSk7O7vCx202G7Zt2wa1Wo2oqKgK91m7di3c3NwcgtdAadFbr169cPToURQXF8PVtfbJnDqdDrNnz8a5c+ewePFiTJkypdw+Z86cwblz5zB16lR78LqMkSNHYvHixTh16hSio6ORnp5ezga8T58++Prrr2t93KoYN24cvvnmG+zatQsLFiyo1XM5PIDN4XAakNjYWIwYMQJhYWGIiYmBVqtFWFgY9Hq9vSLbaKQREOBwaoqrVPyZ01S4YsxiLYFTj1CxEHeX0bAHdZfRWJyWEwlg5xExvEgjUP0YTKQyWU/EojiISL9SBZFWR6lErNINRJwgiglYTgOAAXrWEgRBRcD9S07Ela+FjEalea6Vxm+zrmi1WgClFcX/xmw22//Nzc2FyWSCxVLxNd1sNlf62L+5desWAKB58+YVPv6///0PKSkpiIqKgqdnxW1iMjMzoVAoYLPZIPmXY2iZ7prquZvCwkLMmjULFy5cwNKlSzFx4sRKj1/ZMcq2lf3r5+fn0CMbQLnzqulxq8JgKE0wys+nkZxS34gngF3Bj5nD4dQ/d1dRA//0ua4MPz8/xMbG2p+bnp4Ob29vewW2j48PAJSz7ODUHCrVVf8e+IgVKlWevhYCC0M0vrJkaK8OYC1BEDKJVCYHELHNpLIwdEdCYxHeRGDO+5uRhqtHS4X47eABIMWUx1qCIEQScd2REBncptlo3DtdiawjuIlo6bsqbljFn2yrJzLeu27KZS1BEPRE1r7qSnh4OE6cOIEdO3agS5cu9u0mkwl79+6FTCZD586d0bx5c3h7e+PmzZv4888/0a1bN/u+586dw61btxzswAsKCuDm5gaZzPEecPPmTXz//ffw9fVFjx49KtS0detWAKjUPhwA2rVrhytXruDHH3/EqFGj7NtTUlLwxx9/oHXr1vDwqF2SRmFhIZ588klcvnwZsbGxGDduXKX7hoeHAwB++uknvPjiiw4B6R07dgCAvXe3SqWq1Cq9tsctLi6GzWaDm5uj64fNZsNXX30FAOjevXuV58mpGBp3cQ6HU2/c3eMacOxzrVarkZyc7LD/3cHtskB2GRqNBocOHWogpXSg0jNZSuM0oZbQuDVny8W/ACah0pSVCNcNd1hLEAQPOY1quRsmGolzzYhY81EZC4k/fA2EKrxYSxAEKt9ZDyKuHi0kNFw9qDgHJFmLWEsQBCMR5wAieRckuAc07OB1chpuF4VEEm3ryvTp07F7925s3rwZGRkZGDhwIEpKShAfH4/ExETMnDkTAQGlSfYLFizAkiVLMHPmTEyZMgWtWrXCrVu38N1330GhUOD555+3v+7p06fx3nvvYfDgwQgNDYVarcZff/2FHTt2wGw2Y/ny5VCpyo9rcnJycOjQIbRp0wa9evWqVPeCBQswb948vPzyyzh9+jQ6dOiAjIwMbN68GQaDwaGfd02ZMWMGLl26hKFDh0IikWD37t0Oj7dv3x6RkZEAgMjISIwcORL79+/HuHHjMHnyZDRr1gxnz57Fnj17EBYWVmML8NocNykpCVOnTsWIESPQunVreHt7Q6vVYv/+/fjrr78wcOBAPPTQQ7U+dw4PYHM4nHokNjbWIaANlAa1q7qxNQbmWReyluAUJ+DDWoJA0Jh5ekppLID5GwksgBFZE6KCi0zJWoIgmKw0FkxMRGwzQaO4CkWg8Xmmm8RvO9dW6ctagiBkWmi4Xegs4u/JCgBpMhrnaSByrXUlklCsJzIWkhOw1gaAZhLxz1UugUZySUspjUC9Xkojya2utGjRAtu2bcNnn32G3377DcePH4dCoUC7du3KWVlHR0cjICAAX3/9NbZt24aioiJ4eXlh4MCBmDt3rj3ICgCtW7dGly5dcPz4cWRlZcFkMsHX1xfDhg3DrFmzHPa9m927d8NkMlVZfQ0AQ4YMwVdffYV169Zh//792LJlC9zd3dG1a1fMnj0bffr0qfV7cenSJQDA4cOHcfjw4XKPz58/30H38uXL0a1bN8THx2P16tWwWCzw9/dHdHQ05s2bV6n9uTPHDQgIwLhx43DmzBkcPnwYOp0OHh4eiIiIwJIlSzBx4kRIpTTuR/UNjVEZh8MRnKZUXf10E+/D/SuRwC4VqNj3Jim9WEtoeGjEAcnQVVl5uwwxkUUkE96XyIJJkrmAtQRBaG2jkfxVRMCmOINI5aOSSIAMoBHYpYKNiHOAich5ukkUrCUIQgBonOcpw23WEhqcvuoQ1hIEIdVazFqCIFwoptE2xhlCQkLw3nvv1WjfYcOGYdiwYdXu17ZtW3z88ce11jJz5kzMnDmzRvv27t0bvXv3rvUxKiMxMbFW+ysUilrprY/j+vj4YNGiRU4dj1Mx4pk1EegHxuE0JfR6PYYPH+7QLxsAEhISYP3/v9fG0vf6C6X4M1U5TQcqvb6vS02sJTQ4HZXNWUsQhN9LaEw8zxu1rCUIgtlKoxpHr6hZ1nVTh8o9hUqw4bZF/AkJrlIa4/Ji3veRw2m0qEW0VFoVMiJjhEyIf94JAB4E2sbcJuJeYiLSrsFPSWM+xuFwnIPGqIzD4TDh3/2y70aj0UCv1yM3Nxfe3t7Izc21W3P4+PgIGtzWeD0m2LEagijvn1hLEAQpkUpzqY3GeeoJWBCabDQCKlIii1+eRCp2iyU0FvnyLSWsJQiChcgC2DUZDeeADKP4LcTdifRM1ltpXGvVUhqVj1SQEJmPXTZkspYgCGFKb9YSBMGPyBg+yyj+JDe1ikb7vAwCLWMAoNhMY/zOqZi8vDyYTFWPhxUKBby8vIQRxGm08AA2h8OpV9RqNWJiYqDVauHvX7HdqkajQXJyMsLCwuDtXTppKgteA8JXZocU9BD0ePVNt7CDrCUIgo3IgonFRiPY0Msi/oWEUzIaATIrkUC9C5FFeBWR6YGNyPdWKaHRBLslxH9PAYAkZTPWEhocOZHvbCCR/pZFNhqBeo646KCi0Tbmb1M2awmCIJXTWEcY6taGtYQGx4fIPOUAkUTbIFcv1hI4DFmwYAFOnz5d5T59+vTB119/LZAiTmOFxpWfw+EIRmxsLAAgJiam3GNlVddarRZhYWFIT0+3B7A5dec+ufj7IQLA/8x3WEvg1CMlBNYRrpnyWEvg1CMlRKrlbulpXGvd5DR6JocQqa6yErEQD5GJ32qRSg/sq8Ys1hIEgUqFJ0dcBEhojBGyZTQSafyJVGDn2cTfmsIqoTHeK7IYWEsQBH+FB2sJHIa88sorKCio2jnC01P8cx9O9fAANofDEQy9Xg+1Wo3ExEQkJiaylmPntudZ1hKcYqwXjWADlT6eVM6TQg9svVn850iJIJk7awmC0NzNlbUEQdBaaATJjDbxt2sAgBYWKWsJgrDHlMFaQoMjk9D4LO9R0qjwLIaZtQQOp9YkWsVvxQwA2WYa/YQjZeJ3LwEAo0T8Tm4ZVhqVyS4yJWsJgpBsENZ9k9O46NSpE2sJnCaCeALYRGwAOZymglqtRnJysr3qGoDdVvyPP/6ARqPBuXPnYDAYUFhYyFRrU7cQ7xp2gLUEQZDZaCxoUrG17WQRvx3zSSKfJRWoVAVS6LEL0OmzS6UH9lUljYQhg0H85xmm8mUtQRDURAL1RVYiYyEa+aewEXG78CJSgZ0jKWYtQRAybDT67N42iz/x4j5FAGsJwiD+pRIAQC4Rq3QOh+Mc4glgczicRkVsbCxiYmKg1+uxYsUKAI624mWPr1ixAjNmzEBeXh60Wi2MRvHbHtU3EiorJkSgUnlkIPC1pVJNTwUqgV0qi9NUfp9y0OgnXEIkUO8qE39Q5Q6RisA0Yx5rCYJAZVzbWRXIWoIgUJl33iFS5Uklya3ASsOOOVwh/pYNN200ki7uWGicp9HGXVo4HE718AA2h8MRjH9XZWu1WgDAxo0bodFo4OXlBZPJhLi4OGg0Gpw8eRIKhQI5OQ1rK9P0LcRpLCRQCTZYiVTt0lguoUEokf6WVBa/ZEQWp6nYZvoraPQNsxBJvDATsITvoKJRXXVZL347eABQSGgk0XDERZGVRlK9J5He0G5SGuWsJpv4Z9hyIvMUNykNC/E8Iw2HMw6H4xw8gM3hcJyiLChdE/5dlT1jxgx7VXZCQgKsVit0Oh369esHk0n8Fon1BZXKBip4y1xYSxAEBYFYA5UqlVRTHmsJglBiobGYWWymYbPopaTR01xrEr+dJAD0kTdnLUEQIlR+rCU0ONeN2awlcOoRC4GACkd8+MhcWUsQBCOBpChKnCy6xVpCg9PbrSVrCYLwd3E6awmCoCLS65vD4TiHeALYVj4x4nBYUBaUril3B7yDgoLs/bEDAwPh7e2N48ePN4jOqojN2yz4MesTYysf1hIEQQYagfoCC43gkVQm/u+tlciiLRXXAA85jeQSbwWNwG6hmYY9KJUkN28bjSpPA4H7SlsljR7YmRYaLhA6Cw33EipQaTMSKKUx5ks0NazTXWOhvYyGG02S0oO1BE490cEtmLUEQaCyxsfhcJxDPAFsDofTJKgu4N28eXPcuXNHQEVNHyqDPioW4lQqsPdKxL9gIiUSOKIClSoyKucpJXJPoWLfS8HVAwAUBO4rfxtpzAOCFV6sJQhCcyKVrB1AY/z+J2gkXlChGZF5ZwmR5lVqifit0qkkf2UY81lLEAQ/Iq2OOByOc/AANofDaTCqsxcvsxIHYO+LbTQKb9F6dOYJwY9Zn7hIxrOWwKlHqPToCpSIf8HkDmj0dKISCKTQexYAlBIa0wM5kcBuMyLOAQlSGu4l1/XiD+5SSbpwJXKtpWIJr1bS+DypcJtIkCzLTOM8QWN6DXcCfZOp2N63VtFojaMmMhaqT6xWK6ZMmYLz58+jX79+2Lhxo/2xHTt2QKPRVPi8jh07YseOHQ7bfv31Vxw8eBAJCQlITEyEXq/HsmXLEBUVVe75FosFS5YswcWLF5GWlgadTgdfX19ERkZi5syZuPfeex32T0pKwieffILLly8jKysLRqMRgYGB6N27N2bPno1WrVrV+txv376NoUOHVvr42bNn4ebmVunjCQkJmDhxIsxmc6XnWROKi4sxZswYpKamYuLEiXj33XcdHm/fvn2Vz580aRKWLl1ap2NThV8pOBxOg1FZtbVarUZMTAy0Wm25xwoKhO/VeKhPhODHrE8ePnoPawmCQKUCO9VcyFqCIBRJxd/nXkqkBzYVC3Gj1cxagiBYJDSqVFxlKtYSBCHLROOe0kEu/rYUAKCUin/6TsUF4rI+g7UEQVATSczkiIs0E43qRypjISpJqFSCuxRINorfrQ4A/BTc9r62bNq0CX///XeV+zzzzDNo06aNwzYvL69y++3Zswd79uxB27ZtERERgQsXLlT6mhaLBRcuXED37t0xduxYuLu7Q6vVIj4+HtOnT8fSpUsxadIk+/4ZGRnIzMzEsGHDEBAQAKVSiZs3b2LHjh344YcfsHnzZkRGRtbu5P8/w4cPx/Dhw8ttV6kqv6eZzWa8/vrrUCqVMJudW9f573//i9zc3EofX7ZsWYXbN23ahMuXL2PIkCFOHZ8i4pkBW2ksnnI4YiA2NhYAEBMTY6+81mq1CAsLw8CBAx32TUhIgMFggEKhQE5OwwziYhbfbJDXFQqJ6xjWEgSBSjBQTsQSvpVM/JOVbEsxawmCQKUCW0VkEZ5KoN5gFX8SDSUMROxB803iv694EnEN8JFXXiEiJu5V+LOWIAjeNhrOAWdBIynKXaZmLUEQqCQMBRJpZXBWn85aQoND5d5pstJIRkjW03BpqS9SUlKwcuVKxMTE4L333qt0v/79+6Nv377Vvl5MTAzefvttqFQq7Nixo8oAtlKpxM6dO8ttnz59OoYPH47PP//cIYDdt2/fCjU89NBDmDRpEjZt2mSPDdSW9u3b17p6ev369bh16xZmz56NlStX1um4QGmVd1xcHF599dVKP4OKtOl0OixevBgBAQF44IEH6nx8qogngM3hcJocZRbjYWFhuHnzJhITE5nouDSqaS9iu/zMWgGnPumt8GMtQRAKIf5JGZWkCyp4E1kwKbIaWEsQBCqBeioLfT5E/EGDVd6sJTQ4gTIa39mLRCqwD1iSWEsQhM6qQNYSOPWIQkIjoZjKXCWHyNiWSkU9Bagk81FxWawv3njjDYSHh2PatGlVBrABoKioCAqFAkpl5a0FAgICnNbk5uYGLy8v3LlTszZHwcHBAIDCQucS4oxGI0wmU5WW4WXcvHkTn376KRYuXFij/as65htvvIFhw4Zh6NCh1X4Gd7Nnzx4UFxdjxowZkMloJD3WJzyAzeFwmBEbGwuNRoP09HRERJTaeGdkZKCgoEDQXthXNv1PsGM1BD3CaDhQWImMbU+Zylvri5Hh8iDWEhqcP4lUBAYrvFhLEIRUUx5rCYJApTc0laqjQguN3tBEDBLgLRP/giaNXyYd28wccxFrCRxOrWkpb8ZagiCkW2j8PpVExrYKAk5uNtBY+6IyH6MwrgVQZd9mADh8+HC1r7Flyxb88ccf2L59O6TSqn/rc+fOhU6nAwC0bNkSkyZNwsyZMyGXOx8GtFqtyMvLg9VqRVZWFrZu3Yrr169XWhFtNBqh0+lgMpmQnJyMTz/9FAAwaNCgOmvYsGEDVq1aBZvNBh8fH4wYMQLPP/88fHzKt5Sy2Wx4/fXXERkZiejoaOzatavOx121ahW0Wi02bNgAk6l2hXBbt26FVCrFxIkT63x8yvAANofDEZQyy/AycnNz4e3tjYSEBMED12Wkrpou+DHrk3GSTqwlcDi1pp1J/BkJEiJVDVQCu3pL03brqCl6i461BEHwUNCwk7QQCQfeAY3f5zVDFmsJDU5bZXPWEgSBSn/6tioanycV7rfSSLz41prKWoIgUOkNLSMyJyu2Cr+WJjR9VOJPggeAHwvZuFMKTb5M/K1xAKAFnLt3ZmZmYtmyZZg5c2aVfaPVajUeeugh9O/fH35+fsjMzMTu3buxfPlynDlzBp999lm1we/qSEtLcwjIq9VqTJ48Ga+++mqF++/duxcajcb+d/PmzfHyyy/XKZArlUrRp08fDB06FCEhIdDpdPj111/x/fff48SJE9iyZQt8fX0dnvPtt9/iwoULNQr8V8XVq1exdu1avPHGGwgICMDt27dr/NwrV67g8uXLGDhwoL0CnVM7eACbw+E0KGq1GkOGDIFcLodOp4PFYoFUKq11tlJDEjxvE2sJTtHjgw9YSxAEKvZC3YlYiCcSyJ6WGml8Z6028X+WAJ2KXTUR+0EqCSZUvrd5NvEv2gJAe5X4+wlfN9Loh9hN3YK1BEEoBo12DVT4RUoj8cJbQqMqUEagYhcAdEQsxDsTGCOYCKwhUMJLQaNtTE0qrKti8eLF8Pb2xvz586vcb9SoURg1apTDtkcffRQvvfQS9u3bhx9//BGjR492Soufn5+9Avn27duIj49HcXExDAZDhfbcAwYMwIYNG1BSUoK///4b+/btQ2FhIcxmc60rwlu0aIGvv/7aYdu4cePQo0cPLF68GCtXrsSSJUvsj6WlpeGjjz7Ck08+ifbt29fthAGYzWa89tpr6NKlC6ZMmVLr52/ZsgUAMHny5DproI54AthEFmc4HBYkJCQgJiYGWq0W/v61GxTHxsZixowZ8Pb2hlarRVxcHDQaDQ4dOgSgNChpYxz8uO15lunxnSXKm8YiPBVMRKrlWljE/721EplgS4kkl1CxrKNSjaMADWs+F2nlfc/ERCsJjYr6n/Ti7yfcUeV8P76mAI07J9CCSCAwz9Z4krM5zmMmsr5425TLWoIg9CSSMKQnMIbvAhr3FF+lJ2sJgpBrouH85Qz79u3DkSNHsGHDBqjV6lo/XyKRYN68edi3bx+OHj3qdABbpVKhf//+9r8nTZqEKVOmYPr06dixYwcUCse+Tv7+/vY4wtChQzF69GhERUUhJyfHIdjsDI899hhWrVqFn3/+2WH7m2++iebNm2PevHnVvkZOTg4sFsdrqJ9faXHR+vXr8ddff2HXrl21LqwqKSnB3r170bx5cwwePLhWz+X8g3gC2BwOp8GwWq1YsWIFYmJi6vT8jRs3Aii1Dy8LhP/xxx/2/teXLl2qR7W1J6SgB9PjO0vXsAOsJQgClWq5a+Z81hIEoQfEnyFOJeBJpQJbJqFRpaIi0kyYyu+zhICdJAAoiIwRKFTU+0tqvzjXFLEQuQbdstJYnL5HSiPYcMNGo2dysIxGVWCepYS1BEGgENgFgGKb+B0v/pbqq99JBPjK3VlLEAQvOY0E1LpiNBqxdOlSDBgwAMHBwUhKckxk1ev1SEpKgpubG5o3r7xlS2hoKIDSIG19o1QqMXr0aCxbtgxnz55F3759q9w/NDQUvXv3xo4dO7Bo0aJyAe+6EhwcjMuXL9v/PnToEI4fP44lS5YgIyPDvj07O9v+b1JSEvz9/eHi4oKJEyciNdWxfUhiYiK0Wi0+/fRTjB07FgqFwv4ZZGZmAgB0Oh2SkpLg6ekJb2/vcrr279+PwsJCPPbYY/V2rhThAWwOhyMYsbGxAEoD2b169WKs5h/mWReyluAUv8K3+p1EgJTI4nQxkQqOywrxn6fNQGNxmgpmq/gXhQA6yUIBymasJQiCnsg9JYtID2wKv88bRAKenYgEPNtKafRMbmajkeRG4RoE0Al4Bshp/D6puLSkQPzB3RvmPNYSBMFEIGERAJrJaCQt1hW9Xo+cnBycOHECI0aMKPf4uXPnMGLECIwaNQorVqyo9HVu3rwJAFUGuZ3VCQAFBQU13t9kMqG4uBjNmjk/J7darUhOTnY4v7Jg9Jtvvlnhcz744AN88MEHWLNmDe6//358+OGHMBjKt5vIzs6GwWDA9u3bsX379nKP79+/H/v378fs2bPxn//8p9zjW7ZsgUQiwaRJk+p6ehzwADaHw2kANBqN/QZ2/PhxxmqqZz3KZ0k1JVoTmWAriFQ/ukpoZOWZCVQeUaiUo8RQj3asJQiCkkg/xEsmGn12Wyma9hinpgw00VgA06uDWEtocC4bMllLEAQi7v5IMeWxliAIkUo/1hIEgYp7SVsJjQpsOZGEBAWNry2JT5NKEo23jIZVur+UxnnWFRcXF6xcubLCx55//nlERERg3rx5CAoqnR/k5uaWqwI2m83473//CwAYNmxYnbXk5OTAy8sLUqnjWkFBQQF27doFmUyGzp0727dnZWXZLbjv5uLFizh79ixat25d6+B1RecHAGvWrEFOTg6mTZtm3zZ48GAEBgaW2/f06dOIi4vDtGnT0KtXL9xzzz0AgJ49e1Z4zJCQkAo/g5ycHLz99tvo168fpkyZgjZt2pTb5/r16zh79izuvfdehIWF1fg8OeURTwDbSmREwuE0Uu4OWmu1WoSFhUGv12PgwIGNPoj9JJp276f/SRomi66xUdteI02VIiJ2r0YCvb57Egg0AMDJktusJQhCmrWYtQRByCViJ+klpRHwzDDTqGb9S0Ej2HCTQDAwWOnFWoIghEppfGd9VCrWEgTBDzQyEvQExu8A8Ks5i7UEQcgw0mhdFakOYC1BEJoTGNv6E7H3TzcXspYgCNf1NK61dUWhUGDkyJGVPu7r6+vw+MMPP4yePXsiIiIC/v7+yMzMxA8//IDr169j9OjRGD58uMPzr169iiNHjgAAEhISAACHDx+2Vy8PGTIEkZGRAID4+Hhs2rQJw4YNQ0hICFQqFZKTk7F7927cuXMHL774okPAePHixdBqtbj33nsRHBwMo9GIq1evYu/evZBIJHjrrbdq/X4sWrQIBQUF6N69O1q0aAGdTofffvsNJ06cQHh4OObPn2/ft2XLlmjZsmW51yguLl3T6dy5c5XvbRkeHh4V7nf7dukaWHBwcKWvs3XrVgDAo48+Wv3JcapEPAFsDofDFL1eb7cs0Wg0SE5ObjJB7FXSD1lLcIoxslWsJQhCmoXGIrxaQuPW3NEq/gn2RSI9ukKVNCo8DUQsxKkEdqlca9UyGufZwkLDOaC3wp+1hAbHi8gSxfaSa6wlCIILkVJzKhXYBtBw/gqT07D4pxIMbEfEQjyRQI/6EAmNil0pjaEQ3GU0ktyE4uGHH8bp06dx8uRJ6HQ6uLi4oH379oiNjcX48ePLFQVduXKlXHXxgQMHcODAAQBAYGCgPYDdq1cvXL58Gb/88gu0Wi2MRiN8fHzQrVs3PP7447jvvvscXmf06NGIj4/Hnj17kJOTA5vNhqCgIERFRWHmzJkVVixXx6BBgxAfH4/t27cjLy8PcrkcYWFhWLBgAWbOnAk3t8ZzTzMajdi1axe8vb2dqnznlELkksjhcIQkNjbWHsSOi4uDRqNhLalKXKzvsZbgFEk0YiqQEbEQ95TSGMTnS8TvnGIhYrOYYmzaLhY1pZmcxuIXFQqs5XtciREqrQwKFDSCDRTab+zR32ItQRDCVTQCnreMOawlcOoRKhbiVCrqU0DDdScbNBZM+trE39P8oPUOawmCECFzvi9wU6ADGk/AsamRmJhYbtsrr7xSq9eYMGECJkyYUKN9O3XqhA8/rHnx16hRozBq1Kha6amOiRMnYuLEiU69Rm3OuSpCQkIq/AzKUCqVOHnypNPH4ZTCA9gcDsdp1Go1kpOTHbaVBbFjYmKg1WoxfPhwu8V4GTdv3kR+fj4UCgVyctgtbpRIX2N27PpAKollLYFTj1CxiwpV8skKp2khI9JzjUq7BqmNxnmaiAQbaITpaSRGhatotMbJsoi/Ug6gU4HNERcZNhpJbjTSwwErgXsnAJgIDG1lRMbvaTYaySVXiSQUczgc5+ABbA6H4zSxsbGIiYmpcDtQah2SlpbGPFBdGRf0z7OW4BQz0IK1BEGgElQZpQhhLUEQkiB+e203yFhL4NQj+UR6Q7uChguE3mJkLUEQVFIFawmCUEzA1QOgcV/53ZjNWoIgtFX6spYgCO5yGktOJhuNa1ALIva9l81E3IVkNNrGUOndvtecxlpCgzNcHsRagiBs019nLUEQqDhFcSqnqKjI3pe6Kvz8aDgXcSpGNLMJm5Vf9DicmlBRtXRDoNFokJ6ejoyMDBgMhkYbvAaALuqV1e/UiJknX8dagiD8as5iLUEQbktoZKF2sYp/AexPKY2AJxV85DRcA/Q2GjaLCiLN5dyIVD/6WmnUkSVLxd9/1ltGo13DFX0GawmCQKUCm0oPbCpVge5EvrdeEhrn6SGepe8q6aQgkBhFI1eIzLxTxyuwybN+/Xp8+umn1e5XlV03R/zQuItzOBw7lVVL1xcajQZ6vR7Hjx8HAMhkMlgsjXuxralXYD9uCmAtQRD6KvxZSxAEFRGb4otS8VdgXzHSSLqgQrZZx1qCILhKaVRgU+njmWHKZy1BEPJcaNhOUwge3SFyrfWU0wjUe8vEn7AI0LEopoIXkbFQaxuN86SCSSJ+l5YcCY1E22C5+PuZA4AcNHp9cypn3Lhx6NmzJ2sZnEYOD2BzOJx6Qa1W2/tdx8XFASgfzG6s9FU27QBwOGsBAnHGfIe1BEHoIPdmLUEQ+prFb1l3kbUAgQhV0vjOZluqt7YSA2oilcmZxgLWEgShhdKLtQRBkBJJ/jIQsFr0U9BYtDXbGneCb32RasxjLUEQOqlbspYgCDdsNHq3y4jcU05YG6dDXn3jKqExtg0kYPFvJpIspCUy72wp92QtgcOY0NBQhIaGspbBaeTQuItzOJwGp6zfda9evdCrVy/GamrHtdVN24pktKQDawmCQKWCw0RkUnZSLv4qMpuBxmeZYqTRJ7CzOpC1BEHIIWLlFqYiYLMIwEKk72OghUawQS0Vf3XVIHixliAI56Q0FqfbE0nMTLPRuHdSIc9mZC1BENQEKnYBoK3UnbUEQfjbWshaAqeeoOLqobWKf02Iw+E4j3gC2FYaF3cOhzUJCQnlLMgbe4W12AkjkrV420xjQpZuo3GedwhUP/5HRSO5ZJc8m7UEQaCS8e8rFb87AgDcMNFIvFASWZw+JKNhlU6hX+kZ0KjwHG6m0d/yqoJGpXkYxP/bBIBzoDFPcRPRUmlV6GBiLUEQrlrFP+8EaCQkSIi4IxRaxN9uDQBkEilrCRwOpwlAY1TG4XDqDavVihUrVjhsK7MKB4BTp07BYrE0+r7XYqIZkUt5qoTGZKWnnEav7/gS8VvCH5HR6OOZoqcRCFRLFawlCIKJiK2tisjnSWUBjEqPegoLfR1UTbu1T035Tkoj+SvbQOO3Gan0Yy1BEKgEj+RE5p1aM42EIaONRt/klgov1hIanBwLjYpdXzkN1wA3IvMxDofjHDSiHhwOp0E5d+4cOnQorTT09/eHXq+H1WqFyWSCQqGATqeD0dh4bbiyn/JiLcEpLnxAYwFMBvEv2gLAZTONXmQd3EJYS2hwPIj0W6NCsKIZawmCQMNwGrhjobFo21LVnLUEQQgh0PcRAC5b8lhLaHCo2GbeNtIY77lIaVQmU8FG5Pd5y0ylYpfGXCVcQaOVgZ5AEioVZ6H7pTRaHR22ZrGWwOFwmgA0RiscDqdBsVqtUKvV0Ov1uH37Nms55LDaaCwkSCQ0zrPI2niTPeqTCKUXawkNzu+GdNYSOPWIK5FFPirJQoUSGpXJKSYa1tp/EVkAK7GIf4zgJlOxliAI4SoaFbsppjzWEjicWhNJpHf7dQuNQH2RjYZVepFV/OfpKaUxRrhOZJ4SKKXRToXD4TiHeFbibFTqRTicxoVGo4HBYIBer4darcbAgQMBALm5ucjIyIDBYEBhYePulfWFsmlXBlCwkwQAKRHLOg8ikzIKUPnOUiFIQqM3NBU85D6sJQhCMcRfjQMAt82Ne6xZX6Raxd+y4V51MGsJgnDVLP7PEuBjIbFBxUI8yUrD+j7TRCOAHaAKZC1BELJt4rfXbiXxYC1BEKi40VBJLuFwOM4hngA2h8Nhgl6vh0qlsv+/rD+2RqNBXl6e3VocAI4fP85EY3Wskn7IWoJTPCT7lLUEQUiz0FicpsIVEw3rTAqEKmlUqaTaaGTCU1lIaCOl0VvOSMBOEgCayWgkmKQQcN05Y8xkLUEQ7le2YC1BEK5LaQQCqUDFQryEQCUrAAQoPFlLEAQa31ogTC7+z/O2tZi1BEEoITIf49SM9u3bV/rYnj17EBER4bAtKSkJn3/+OX799Vfk5OTA09MTkZGRePHFF9GpUyf7fhs3bsSRI0dw48YN5Ofnw93dHS1btsSkSZMwbtw4yGT/WPZbLBYsWbIEFy9eRFpaGnQ6HXx9fREZGYmZM2fi3nvvddDw6quvYufOnZXqlsvluHz5cq3eh6SkJHzyySe4fPkysrKyYDQaERgYiN69e2P27Nlo1apVueeUlJRg1apV+OGHH6DVauHv74/Ro0dj7ty5cHGpWQuqW7duYc+ePfj111+RkpKCoqIitGjRAv3798ecOXPg7+/vsP+pU6fwxBNPVPhaXl5eOHXqVK3Om8MD2BwOp4GIjY2FRqOBXv/Pgn+nTp1w6dIlhqoq5oL+edYSnGKahUZGMRVbW3civQLTCPSWkxJxR0gx0qgia0ukl7CCyLX2jk38VswA4CWhcU8xE1me7uUaylpCg6Mm0t/ygoXGvXMAkT6e2RIayUKpNjNrCYLgLavZojanaZBnM7CWIAhuULCW0OCQGdcSSUA1gbvp1pRevXph8uTJ5bYHBQU5/H3y5Ek8++yz8Pf3x6OPPorAwEDk5+fbg753c/HiRQQGBmLgwIHw9vaGTqfDzz//jNdeew0nT57Ehx/+U+xlsVhw4cIFdO/eHWPHjoW7uzu0Wi3i4+Mxffp0LF26FJMmTbLv/+ijj6Jfv37l9F6+fBmbNm3CkCFDav0eZGRkIDMzE8OGDUNAQACUSiVu3ryJHTt24IcffsDmzZsRGRnpoHnOnDk4ffo0oqKi0Lt3b1y9ehXr1q3DhQsXsGHDBkil1a99bNu2DXFxcRg8eDAeeughqNVq/Pnnn/j2228RHx+PzZs3o23btuWe9+ijj6Jnz54O28oKADm1gwewORyO0/j5VdzD7e4gdm5uLry9vTFw4MBGW4ndVKFi5UaFMVYv1hIEYQ3EX1FPpUqFSgU2haQLAMg30ahsoNJ+Qy0V/2ImAOiJVMuFq/2r36mJc9VIo5+5nEigPt6czFqCIEQqafQ0pzLvvG6gcR3yU9CwY863iN9aGwAMBMZCfnIa39kMUz5rCYJAZSxUH4SGhiIqKqrKfXJzcxETE4MuXbrgyy+/rDZY+tFHH5XbNmPGDMyePRvx8fGIiYlBixaljkFKpbLCiurp06dj+PDh+Pzzzx0C2N27d0f37t3L7X/ixAkAqDAYXx19+/ZF3759y21/6KGHMGnSJGzatAmxsbH27Tt37sTp06cxbdo0vPHGG/btwcHB+OCDDxAfH49x48ZVe9wHH3wQc+bMgafnPy4Xjz76KLp164Y333wT//d//4eVK1eWe163bt2q/cw4NYMHsDkcjtP82y6jDI1Gg+TkZMTFxUGj0eDQoUMCK6MBlUV4Kj302ptoZIjfIRAMbK4Uv40bAKSa8lhLEIT2KvEHjgDALG/GWoIg5FlpWMIriCwMyYiMEShU5FAZ7xVbaIz3qFyDOOKCwrUWoONw5ien0TbmanE6awkNTk81jfYbacY81hIEoZBIckl9YTKZYDAY4O5e8TXtu+++Q05ODl599VWoVCoYDAZIJBIolbVzLggODgYAFBQU2APYleHm5gYvLy/cuXOn2tctKCjAgQMHEBwcjPvuu69WmqqiTG9hoWORzO7duwEAM2fOdNj++OOPY+XKldi1a1eNAtidO3eucPvo0aPx5ptvIjExsdLnlpSUQCKRQK2m0e6qoRBPANtKo8qJw2lK6PV6hIWFISYmBrm5uRg4cCAA2KuxG0sl9pSnT7OW4BQuGM9agiBYiVSzfk1kXBNi8mEtocHhvavERQ6RCTaVKpWORBISMiw0KurvWIpYSxAEo1X89r1UerKaiATICi00koU44sKHSMAzlUgbICr3leHu4awlNDhaIgmoVIpUfJU0KuqHDh1a5eOHDx+u9jUOHDiA+Ph4WCwWeHh4YNCgQXjhhRcQEhJi3+fYsWNwc3ODXq/HxIkTcfHiRQBAREQE5s+fjwcffLDC187Pz4fFYkF+fj5OnDiB7du3IzQ0tEJbbKvViry8PFitVmRlZWHr1q24fv16jSqN4+PjYTAY8Mgjj9TIursyjEYjdDodTCYTkpOT8emnnwIABg0aZN/HZrPh4sWL8Pf3twe4y1Cr1ejQoYP9/akrmZmZAIDmzStuNffuu+9Co9EAAAIDAzF27Nha9d7m/IN4AtgcDqdRUmbf0ZgrsAdvGMBaglOcaCX+QCBAJ0PcFTQqVSgEd202GkkXKiIWxRIJjarAUIUXawmCcLo4hbUEQaCyAGax0eihp5CKf4yQZRJ/ixEA8JK7spbA4XAqwV1Ko89uCzWN4FERgXknABQQOE9vKY3+sVTG71TmnflwLtG2U6dOePDBB9GqVSsYjUacOXMGW7duxfHjx/Htt9/aA83Xr1+H1WrFk08+iSFDhmDWrFnIzs7G6tWr8dxzz+HDDz/E2LFjy73++PHjkZqaCqB0zaN///546623oFCUX+dJS0tzCMir1WpMnjwZr776arXnsWXLFshkMkycOLGubwUAYO/evfbAMFAaQH755ZcdXjcvLw8lJSVo165dha8REBCAc+fOQafTVVrRXh1ltuETJkxw2C6XyzFo0CDcf//9CAoKQk5ODn766Sd8+eWX+O233/DNN9/wIHYt4QFsDodT75T1vdZqtQ7bG2v/69dWa6vfqRHzrLw1awmCcNtMY0GzGDQqcprJxD9gyzPTqHwssRhZSxAEKnavOUQSEpoRCR5RsUENUtCwvk8yZrOW0OAEK71YSxAEDwmNa62XlIa1UAsJjaCKjsg8pUgi/kAgQMfhjMp5Ukj472WhcU85R6Sdit4mfmchoGYV1lWxfft2h7/HjBmDQYMGYc6cOXjvvfewbt06AEBRUREsFgvGjBnj0N+6X79+ePjhh7F8+XI8/PDD5RLzP/zwQ/sa/uHDh5Gfn1/OjrsMPz8/bNiwASaTCbdv30Z8fDyKi4thMBjg5uZW6TlcuHABiYmJGDx4MAICAur6VgAABgwYgA0bNqCkpAR///039u3bh8LCQpjNZsjlpaFOvb7UraEy+/Sy/uAlJSV1CmB//vnnOHDgAIYNG4bx4x1dUXv27IkvvvjCYdvEiROxfPlyrFmzBl9//TXmzJlT62NShgewORyO06jVaiQnJ9t7Yev1eqxYsQIjR45ETEwMAODPP/9Et27d0L59e8TFxdmf25grs5sKVAK7VKofqZCkr75HTlPHS1H5AJ7T9LASqajXmWlY81GoZAXofG8tChoV2BEqP9YSGpwWEvEnuAGAJxHHnSvQsZYgCGk2GkluBiIB7AApjevQXyYaFuLeBBKnASDVIv51IS2Rz7IDkVZHf5vEn5jZUDzwwAPo2rUrTp48CYPBAJVKBZVKheLi4nIVwW3atEH37t3x+++/48aNG+WswXv27Gn///jx4/HOO+9g6tSp2LNnD0JDQx32ValU6N+/v/3vSZMmYcqUKZg+fTp27NhRYdU2AGzduhUAMHnyZKfOGwD8/f3t8YehQ4di9OjRiIqKQk5ODpYsWQIA9p7TRmPFxRYGQ+m4rawSOi8vDyaTY/Kaj48PZLLy4/VNmzZhxYoV6NOnD5YvX17jteq5c+di3bp1OHr0KA9g1xLxBLCtNBYtOJzGSGxsrD1QfTe+vr5YsWIFACA6OhorVqzA6NGjMWLECABATk6OoDrFigU0rn8ym/gzigGgl5lGBYfUrQ1rCQ3OOWPTdneoKaFKb9YSBCHZSOOepSRim0nBBQIAjEQqsHOJ9G43EKjabSWnkfx11UYjsKsiUBEIAB1A457yJ5GEhFSLc3avTQUXIq47+RYayZlyArbTrkQqk9MtNK61bkTmnQ1FSEgIzp8/j7y8PAQEBCAoKAjXr1+Hn1/5hNeybfn5+dW+7rhx4/DNN99g165dWLBgQZX7KpVKjB49GsuWLcPZs2fRt2/fcvsUFRVh7969CAgI+H/snXd8FFX3xp/tm76bHhKCtAA/Qm+KYKNKCyBSDEhQQAUs0VdwEV8Ry6Ki6KuIijQ1BpVeRMGACCq9QwCpIT0hdZNstv7+yCcrawppOzeZc7//KLOzc5/J7s7cueec5+D++++v4dnVnObNm6NXr17YuHEjXnvtNSgUCmg0Gri5uSE9Pb3S92RkZMDT09NRff3ss8/i8OHDTvskJCQ49RgHgNWrV2Px4sW45557sHz58lpZgbu7u8PPz4/HQuqAeALYHA6nUaDT6RzW4eUZUQAQHh6O2NhYBAQE4OzZs6zkiRK5hEYFBxWuymgEG/YUXWUtweVQqcBOMeexliAIXkQCniU2Gpbwtyw0FoY44qKYwJzvJBHHnQAiFZ7pRAKBMpn4A0cAHYeEbDuNNkBUAtgyKY3fJ4W5bYGcRvGG1U7jPCl8Z13J9evXoVAooNWWFRR06dIFV65cQVpaGiIiIpz2TUtLA1DWL/pOlFcn1yTYDfxj111QUFDp6z/99BOKi4sRExNTaUVzQ2A0GmE2m1FcXAwfHx9IJBJERkbiyJEjSElJQWhoqNO+iYmJ6Natm2PbvHnzKuj/dyLAl19+iQ8++AD9+/fHsmXLHDbkNcVgMCA7OxstWrSowxnShgewORxOg2I0Gh2Ba7VajdjY2EbZ9/p2bj2pYS2hXljfpTG5lRLJtqVSqRJCoMcllZ5OVCyKFQQCRwBgIlC9AQDBRHoma6Q0XD2KiVxv1QSuQ1cI9PkGgGAljSQ3Kj2wqZBCJLBLZc7nJaFR/VgMGnMET5n453yFRNwH84k4C3nL3VlLaPTk5uY6AtS3s337dpw7dw4PPvigo8/zmDFjsHHjRsTHx+O+++5zWFufO3cOJ0+eRKtWrRAeHg4AKC4uht1ur9C32m634+uvvwYApwBvTk4ONBoNpP9KCCooKMDmzZshk8nQqVOnSs/hxx9/hFQqxbhx4+r4VygjKyur0uryM2fO4Pjx42jZsiV8fP55xo+KisKRI0ewevVqLFiwwLE9Pj4eRqMRUVFRjm2RkZHVjv35559j6dKlePDBB/G///2vyt7aQOWfmd1ux3vvvQe73Y6BAwfe8Vw5zvAANofDcQk6nc6R1eTr68stMlyIHTSCRyASwG5jpnGeNxUa1hJcjppIf8v9JUmsJQhCM7kXawmCcMNMwwUi3VyzjPKmjpRIoJ6KE8RQ9V2sJbicy/Zs1hIE4YqFRu/ZECL3To640BJJvFAQSZz2J5LMpyCQhKomsiZkIdICqNBCI1BfH5YvX47jx4/j7rvvRkhICMxmM44fP45du3YhICAAr776qmPf3r17Y9y4cVi/fj2efPJJDBgwANnZ2fj2228hl8vx+uuvO/a9ceMGJk+ejMGDB6Nly5bQarXIzMzEzz//jEuXLqF///54+OGHHftv3boVa9euxcCBAxEWFgaVSoWkpCRs2bIF2dnZePHFFxEcHFxB/8WLF3Hq1Cn079/fqQq6LixcuBCZmZm4++67ERoaCpPJhAsXLmD79u2QSCRO5wcAY8eOxebNm/HNN9+gsLAQPXv2xMWLF/Hdd9+hd+/eGDVqVI3GjYuLw9KlS+Hv749BgwZh586dTq97eHg4BaWnT58Of39/REZGIjg4GDk5OUhISMCpU6fQq1cvREdH1+vvQBHxBLBtVAI4HE7jR61WIykpCXFxcYiNjcXSpUuh0+mQlpbmyELKzc1tNFbiX1STOdUUkBF58JQQsZTcLy9lLUEQlAS+t2YiGeJUuFSaxVqCILgTqN4A6JxnERFL+DBlxcoEMXLSKv6gJ5X5HpXK5CST+L+zANBeWbEiSIxIiASPqMzhqbiXBBOxvs8gYMfcmUhSlEZOw6WFSuuq+tCnTx9cvXoV27ZtQ25uLux2O0JDQxETE4MZM2bAz8/Paf9FixYhIiIC69evx+LFi6FSqdCjRw/Mnj0bnTt3duwXFBSE0aNH49ixY0hISIDBYICXlxciIiKwaNEijBs3zqnaumfPnjh37hx+//13ZGZmwmQywdfXF127dsVjjz2Ge++9t1L9P/74IwBg/Pjx9f5bDB8+HFu3bsW2bduQk5MDu92OkJAQREVFYdq0aWjVqpXT/jKZDF9++SWWLVuGnTt3YseOHQgICMC0adMwe/bsGtuZnzlzBgCQnZ2N+fPnV3g9NDTUKYA9ZMgQ7N27F/Hx8SgoKIBCoUDr1q2h0+kQHR0NhYJG+46GRDwBbA6H02jQ6/XQ6XSIjY119MPW6/VO++h0Oty4cQNdu3ZlbjGu00xiOn59idL+ylqCIFCxEHcnUrVbRMDKzUikd5WUSLCBCnkWGv1KqfQ0d5M17SS9mlJMZAGsmUz8C7d+ShqB3TPGdNYSBIGKFTNHXLgTWSotBI17Z56dxnnmW8Rv8X9OLv4gPQDIiKx9GSxG1hIaPQMGDMCAAQNqvL9MJsPUqVMxderUavfz9fXFa6+9VuPjRkZG4v3336/x/uUsWLDAyb67PgwbNgzDhg2r1Xs8PDwwd+5czJ07t87jLl68GIsXL67x/jNnzsTMmTPrPB6nIjRmZRwOR1DK7cMBIC0tDT179qxyX9bBawBwN716550aMVb7/awlCEJ3uT9rCYLwuymNtQRBaKf0u/NOTZxLZhp9PEMJ2MEDdOwkqVQdZVvFv8gHAFYin6dKQiOT/Wyp+IOeD6jDWUvgNCAyApa2HPGRY6cRVMkmkrTYTiH+504ACFaKv21MSwmNnskqOY3kLyuZdogcDqc+8AA2h8NpEMptw2/dugU/Pz/ExcUB+CeYfXugWqFQwGKxwG5vHJOVfhPyWEuoF+q9o1lLEITjVhp91Kks9P1VdIO1BJdzn8ddrCUIwsGSZNYSBCGdSBWZwUpj0dZf6c1agiCUWs2sJXAaEI2MxsItBbqqm7GWIAhGAo47ANABNFw9ToJG9SMV5y+VhMaScLK1kLUEQQiXi39ue8NOo2dyqoXGd9abSH96TtUUFRWhuPjOieUBATRatXAqh8ZshcPhuBy9Xo/Y2FhkZWUhPDwcsbGxVVZXm82NazF1d+8I1hLqxfC9HVhLEARp48h3cDk2IlmooSrx9ys9baLRM7k5kd6z6eYC1hIEIVxFo0qlwEYjUO9DxCqdik2xnECS21UbjQDZMDuNe2cpjTggjklouHpMMHmyliAISyQprCUIgpuUhnsJFbJs4g/uUkkuyTbTCGCrCKwJcapn1apV+PTTT++438WLFwVQw2msiCeATaTPJIfTFPh3v+tydDod0tLSoNWWTVKuXbuGli1bMrcRf+eZQKbj1xf7uzQCniDysNJYnAlcDQVbWxuRuclNUy5rCYKgJrLIl0Uk499ss7KWIAjFklLWEgQhQtW053I1xYOAVXopaPw2/yQS8PQl8J0FACL5p0hR0HgeayelkcyXY6MxR/CRKFlLEASFRPy/Tyrf2eYqX9YSBIHCvJZTPaNHj0aPHj1Yy+A0csQTwOZwOI2S2/th5+bm4uzZs06vJyezt56dvzyTtYR6MRw0HrCp4CGl8YCdVCr+/tAahQdrCZwGxI3Ib9NTQsPKLcNEo6LeRiQpiiMe+tm9WEsQhCNEAtg3bTTOk8oifIGExj2lyN64HONcRbHNxFqCIFilNJKKfaFmLcHlaIhYTlttNK61ZgJFDZzqad68OZo3b85aBqeRwwPYHA6nwbk9aJ2ZmYnw8HDs3r2bsaqq4RXYTQMqU9tOchrZtlTsezniwWynURXoJhX/4hcASAlUqQCAiohzQC4B20wA6CgXf3B3Tek11hIEwWSn0Ru6lYr3LBQT3nYa904tkSCZQib+thQAYCQyh6fgcKYAjZYxViJObuEyGm0pOBxO/eABbA6H0+AYjUYsXboUQFkw++DBg+jfvz9zq/Cq0GkmsZZQL6K0v7KWwGlAjpibtiNATZEQsITvomzayTE1JdlKo19prpVGgKyQiDWfRk7DIcFHRiMhodRGIxh4wCL+OUIEkYCnjYjndDsJjWvtdTuNxMxQM43v7VZZPmsJnAaEQmAXAO6Ri//Z86qdhqtHGJHA7h8lN1lL4HA4TQDxBLCJ2GtwOE0NvV6PwYMHQ61Wo3///gDKrMS1Wm2jCWjr8+JZS6gX9rv8WUsQBAmRajkqFuIWApnwdiKL01R6YHvJ3VhLEAQFaFTjULGso5J4oZLQqMhpLvNmLcHlmIj8NrOtNBbhDRIaFsV+UhpzBCo9sD1B43lMSiChGKAz57tJIJEmj0iirZTG4xgCFOJ3FuJwOPVHPAFsDofTaAkICKhQlV1uMd4YaOoV2CM0u1hLEAQpjVggGSj0ZT1tymItgdOAFFhoBBvkRAKBVBZtjTYafTyp4KUWf0W9u4TGEoWayHlSuadwOE0RKu03qOAtE3/iBYUkeADIIRKov0su/sRMDodTf2g8NXE4HKaEh4cjKSnJ8W+9Xg+dTof+/fs3ih7Zg8fMZjZ2Q+D2G7cQFxN3yWhkoV6zFLCW4HKMRPpbUuklLCcSbJBJaKT8+8to2NpSqToKIFL9mG4tYi3B5aRZaVj3NldoWEsQhFtEKs195OIPHAHAVSmNue11Yw5rCYLgL6dhU6yS0pjDZ9rEf72l0n7jRmk2awmCkC5VsJbA4XCaADTu4hwOhyl6vR6xsbFOldeZmZmIi4uDTqdDYmJio+6RzeEIyUUzDTvmJKP4q5ODVFrWEgQhlMgifLpZ/EkXAJ0+gdkEAoEAUGylUcGRYqdx76SQYNJaRaM1zt+l4p8HAUBzJY25EBUC7byiXky4EQkelXA3Gk4TQ0Xkt+kto5GAWh8MBgPWrl2Ln3/+GcnJyVAqlQgLC8PYsWMxfvx4KBRl35WrV6/ixx9/RGJiIhITE5GXl4dx48bh7bffrvS4a9aswZ49e3D16lXk5+fD09MTLVq0wKOPPorRo0dDJqt4vzeZTPj666+xbds23LhxAzKZDGFhYRgzZgxiYmKc9rVYLFi1ahU2bNiAlJQUaDQaDBgwAC+88AK02trPDQ8fPoxffvkFR44cQWpqKoCyYrmRI0di0qRJUFfiUnX06FF89dVXOH/+PPLy8uDv748ePXpgxowZiIiIcMm4W7ZswdatW3H58mXk5uZCrVYjLCwMo0aNwsSJEyvVybkzPIDN4XAEQa1WIykpCXFxcQDgFNA2Go04d+6c48ZrNgv7gLG7d81uXI2V2fv7sJYgCEmWQtYSBIFKVnGIype1BJdDxeKMSg9sJZHqDSoBTwkRC3GNgkalea7ZwFoCp4HQSFWsJXAakFQzjYr6jmoNawmCYKPxmEKmL+s1IlWeblIaDgkUnD2o2N5HqAJYSxAEO5G1r7pisVgwdepUnD9/HqNHj0Z0dDRMJhN27dqFRYsW4cSJE1iyZAkA4OTJk1i1ahXCwsIQGRmJAwcOVHvsM2fOIDg4GP3794dWq4XBYMBvv/2G+fPn4+DBg3j//fed9jcYDHjyySdx4cIFREVFITo6GmazGTdv3kRycnKF4+t0OmzduhUPPvggnnzySSQnJ2Pt2rU4fvw4vv/+e7i7u9fqb7FkyRKkpqZi0KBBeOyxx2A2m5GQkIDFixdj27ZtiI+Ph0r1zzPE7t278eyzz6JFixaIjo6Gr68vrl69ih9++AG7du3CDz/8gHbt2jX4uOfPn4eXlxcmTZoEPz8/GI1GHDlyBHq9HgkJCVi7di2kVJrcNyCiWYmz22hUi3A4TZVy2/DY2Fjk5uYiPT0dpaWlKC0thclkYi2vSZNCpIqMQtURAHhIaDxgR8h8WEtwOYdN6awlCAIVC3GDxchagiBQ+TypnGeRlcb31lteu0WQpkogAbvXc6WZrCUIwgNuLVhLEIQMO41rkB+RymQqibZWO431RT8C9xSAzjrCyaKkO+/UxOnt2ZK1BEG4RMSlhco9pa4cPnwYZ8+exRNPPIF58+Y5tkdHR+ORRx7Bjh07sHDhQnh6euLBBx/E4cOH4ePjg+TkZAwYMKDaY3/wwQcVtsXExGDGjBnYunUrYmNj0axZM8dr77zzDi5duoR169ahQ4cO1R77r7/+wtatW/HQQw9h+fLlju0dO3bEc889h1WrVmHOnDk1/TMAAF566SX06NEDcvk/ocwpU6bgpZdewvbt27F+/XpER0c7Xlu1ahUUCgXWrVvnVPHdrVs3PPvss9i8ebPT37ShxtXpdBWOMWXKFCxcuBDx8fE4duwYevXqVatz54gogM3hcBo/er0eQNkFXavVOlmGSyQS2O188sLhyIhUBZ4208j4pwAVC/FbUvH3lQPoOAf4ELGso7IIr5DQCB5RmCO0VfqxliAI+XYalrZ97DQqWc3i/2kCALxtNE6UirV2joXG3DaIyJyvmVr8989sK43vLJWki3zuoFQthYVlLpSBgYFO22UyGfz9/XH58mUolWUFMHWx5a6M0NBQAEBBQYEjgJ2amorNmzcjOjoaHTp0gM1mQ3FxMTw9K0+C2rJlCwBg2rRpTtuHDBmC0NBQbNmypdYB7D59KnceHTZsGLZv346LFy86bTcYDFCr1fDxcS6cCQoKAgC4udXsvlDbcavi9r8rp/bwADaHwxGc8kB2OTExMTh79iwjNYBd9zyzsRsCm/ZX1hIEQUpg0RYArESyUE1EgmQUSDHnsZYgCGYbje8sFSs3KgtDVCzhNXIqVuniX7ilMt+jUvl4RUZjyanQbmEtQRD6gIbbBZXEegkRN5oCG425UDO5+BOGjETWEHIsNFwWwwi0lQNwx2rohISESrd3794d7u7u+PLLLxEUFISuXbuitLQUO3fuxIEDB/Dcc885Ath1JT8/H1arFfn5+Thw4AA2bNiA5s2bo3Xr1o599u/fD6vVinbt2mH+/PnYsWMHjEYjNBoNoqKi8OKLLzr1dj516hSkUim6du1aYbxu3bph+/btyMvLg0ajqZd2AMjIyAAA+Pv7O23v168fVq1ahXnz5uGJJ55wWIi/9957CAkJwcSJE10ybjmFhYUwm80wGAw4fvw4vvrqK3h7e6N79+71GpcqNJ4mOBxOo6O8/zXQcJlidcXd9CrT8etLc9lI1hIE4aaVRnYmlQWTSGXlEz0x4UVkmrW75DprCYLQ2a3ZnXcSAWbQqNilApEiMmQQWeh7SNWctQSX84eZRvsNA5GAyp9EemB3UgWzliAIv0sLWUsQBImdRmDXT0YjIYGKG82ZklTWElxOJyLPYyYiSVG3LDTW+IJRt6TFgIAAfPbZZ1i4cCFiY2Md21UqFd5++2088sgj9dY2ZswYpKSkAChLaurbty9ef/11KBT/PEReuXIFQJntuLe3NxYsWAAPDw9s3rwZa9euxZUrV/DVV185kqLS09Oh1WorDa6XV0Cnp6fXO4BtMBjw1VdfQaFQYORI53Xx559/HoWFhdi8eTO2bt3q2N6zZ0+sWLGiysBzfcctZ9asWTh8+LDj3126dMGCBQuYxz+aKuJZWbXRWPDncJo6Op0OJ06cQGlpKRQKBXJyclhLwmvFkawl1Ivrd9GwIKFSkaPkNqiioZQHAkVFro1GH0+jjYatLZUe2HIi9xQanyawvfgyawkup4tbKGsJgtCtjouZTY2LihLWEgTBTCQBNUSivvNOIuAEkaCKwUpjbquR0wjUt1CJP0FcI6lftWlTgYpLS0ppLmsJglBVhXVN8PT0RMuWLdG7d2/ce++9MBqN2LRpE1577TVIJBKMHTu2Xtref/99GI1GZGZmIiEhAfn5+Q7r8nKKisoShU0mE+Lj4+HrW1Y5//DDD2Py5Mk4cOAA/vjjD/Tr1w8AYDQaK1h3l6NSqRz71AeLxYLY2FikpKRAp9OhZcuWTq/L5XKEhISgS5cuGDZsGIKCgnDhwgWsWrUKTz31FFatWlWlxvqMW868efNQUFCA7Oxs/Pnnn7h69Sq3D68H4glgczgc5qjVapSWVl1NoNPpkJSUBAAVrERu74ctNDrNJGZjNwSjNLtZSxAEKhZneUSCZIEEMv6pWJxRQU7EctpDSmNhSC2h8RhkJFLBYSXy++zpJv4K7A6g0at0hyWNtQRBKLGZWEsQhPbKANYSBCHNTuM5xZdIz2QfGY2EBAqJ0wBgIHC9lRP5LKlUJiukNBJt68qFCxfw2GOPYerUqfjPf/7j2D5q1ChMmjQJixYtwgMPPOAIKNeFHj16OP5/zJgxePPNNzF58mRs27YNzZuXPXeU24P/e6zyAPrRo0dx8OBBRwBbrVbDZKr8elQeM7jdcry2WCwWvPTSS/j9998xffp0xMTEVNjn5Zdfxv79+7Fz504EBJTN0QYOHIjOnTtjxowZ+OKLLzB37lwAQFZWltN7ZTJZpX/TmoxbTmTkP4Vyo0aNwqpVqzBjxgzExcVxG/E6QGPlhsPhCIJer8fgwYOrfN1oNCI8PBzJyclYunQpgH+sxPv374/c3Fykp6c3qurspgCVwC6H09TwIBIgo1LJmmmmYZvpTiSAXQTxL/IBdCzhw+W1z6BvingRuK9sKk1iLUEQqFRXBRDpT8/hNEWoBHZpzISAZjLx31cURL6zgQpv1hIEIbmUr/lWx9q1a2EymTB06FCn7VKpFEOGDMHJkydx+vRpPPDAAw025ujRo/Htt99i8+bNePbZZwEAwcFlbVICAwMr7F8eHM7P/6dlTHBwMK5fvw6TyVTBRry8d3T5MWuL2WzGSy+9hF9++QVPPfUUXnzxxQr7pKam4qeffsKDDz7o0FfOfffdBw8PDxw6dMixrTzwXk5oaCj27NlT63GrY/To0Xj33Xfxww8/8AB2HRD/EzCHw2lU6PV6REdHO/5tNBodweyYmBgEBwdDq9UKWpHdNu9nwcZyBW1asFYgDDIi1VVUqgKVEP/naSKyXGIjYpsZqPRiLUEQZAR+mwCgIHJPodL3kYrFv0Ym/qbmVL6zNK5AQJKJhj0olQpsO2jM+ZpJxe8UBQBZRCrq3YgsfTeTqFhLcDnpRBJQqdDWLYi1hEZNZmYmAMBmqzg3tlgsTv9tKMorpG8PSJc7qKalVXQPSk9PBwD4+fk5tnXu3BlXr17FqVOn0KtXL6f9T5w4gfDw8Dr1vzaZTHjhhReQkJCAOXPmOALs/6Y8SG61VnREtNvtsNlsTq+tXr3aaZ9ym/Pajlsdlf1dOTVHPHdx3gObw2kylGdt6XQ6xw0ZAEJCQrB7t/B22H9rht55p0ZMlPZX1hI4nFpDIbhLpaqBCteM2awlCIJaKv4AGQCoZTQqzY1WGgt9VCpVpATuK1QSFm8SCexSuadQQULgGgQAlyx5rCUIgpaIhXgJaLRTySTy+6QAlRZAhWYaSTR1pU2bNjhw4AA2btyIzp07O7abzWZs374dMpkMnTp1qvVxi4uLYbfb4eHh7JJjt9vx9ddfAwC6devm2N6jRw+Eh4dj7969SEtLQ0hICICy4Pn3338PAHjwwQcd+0dFRWHz5s1YtWqVUwB7165dSElJqVMA2GQy4bnnnsPevXsRGxuLp59+usp9W7ZsCblcjqNHj+LmzZsOK3QA2LlzJ0pKSpz+nn379m2QcS0WCwoLC6HVaiu8tnbtWgDOf1dOzRFPAJvD4TQZ1Go1YmNjkZmZiby8PAwePJipXfjgMbOZjd0QqPfyHthiosRmZi1BEC5ab7GW4HIilf6sJXAakEi3ENYSBKHITuMaZCfiHGAk4uqRQiQYmCsrZi3B5TRXaFhLEIRCO43kkiwi7TcoVD4CwDW7+K9BANBCTiMp6iqRQD0VZAQsxGmkuNFBLuE9sKtj6tSp2LJlC+Lj45Geno7+/fujpKQEW7duxcWLFzFt2jQEBZVVsRcWFuKbb75x/D8AJCYm4rPPPgMAtG/fHg899BAA4MaNG5g8eTIGDx6Mli1bQqvVIjMzEz///DMuXbqE/v374+GHH3bokEqlWLRoEWbMmIHx48fjscceg4eHB7Zv346zZ89i/Pjx6NKli2P/vn37YsSIEdi+fTuefvppDBgwAMnJyVizZg3atGmDadOm1fpv8Z///Ad79+5F9+7dERISgi1btji9Hh4e7ggOazQaTJ06FStXrsT48eMxceJEBAcHIzExEevXr4dGo8GMGTMafNzi4mLcf//9GDhwINq2bQt/f3/k5OTgt99+w/Hjx/F///d/mDx5cq3PncMD2BwORwDK+1yXV1vr9XrHdgCIi4tz7JOYmIjsbGGr3B5c3e/OOzVi/rjL7847iQApjVgDGQvxNgrx9yulUGVOCaO9ogWVGFEQWRrKsBpYSxAEBZGFoXCVL2sJgmAhYK99w0wjGcFH5sZagiBQuQal2ktZSxAEKhbiyUTmCFQq6sNkNNoABUjE7y50CzQSbf1kNNoYmAnMa+tDs2bNsH79enz22Wf4888/sX//figUCrRt2xZvvfUWxo0b59g3Pz8fH3/8sdP7z507h3PnzgEAxowZ4whgBwUFYfTo0Th27BgSEhJgMBjg5eWFiIgILFq0COPGjYNU6rwmcM899yAuLg6ffPIJVq5cCaPRiJYtW+K1115zahNazuLFixEREYGNGzfijTfegEajQVRUFF544YUKld814ezZswCA48eP4/jx4xVeHzNmjFN188svv4xWrVph/fr1WLNmDUwmE/z8/DBixAjMnj3bqSq7ocZVq9WIjo7G0aNH8eeff6KwsBBqtRqtW7fG3LlzER0dDbWahvNJQ0NjlZzD4TClvM91bGys03a9Xg+dTueoxg4PD3cEr8urbYWokHrK1LQrIA4QWUgAkQdsKpXmxQSCgT4SbpspJrKtRawlCAKVyuQSW9O+99cUGxH73mwjjSpPhVT8wcB2qkDWEgThvDGdtQRBcJOKP6DCER9FROYIVNodZdhoOAeYpDwYKBasRAK7BTZuIX4nwsLC8M4779Rov4sXL9bomL6+vnjttddqraVLly746quvarSvQqHAU089haeeeqrW41TGnj17arW/RCLBuHHjnIL8rh5XqVRi3rx59RqPUzk8gM3hcJhyezV2UlISjh49ipiYGGi1Wuzfv18QDb6BUwUZx1XIeQ9sThPEi0CleTHEH6QHACmRpAsqCwlU+s9SqX4stNJYGPKQ0bDv9SLQr1ROJKBCpW87lWsQFahU7IYTsRC/bGbXxk1IfCQ05nwU2gD5ScU/DwKAYiLuJVTcBzkcTv0Qz5WCyKIihyNW9Ho9evbsiZ49e7KW0uSgUi1HpTKZSg9sO41nMhLYiFyDLARcAwA69qBaOY3FTCr2vTkWGg4JFCzEL5qEbSXECipJNGYi904qSIkEsJMtNFw9vIkEA1VEkjMLCDgHUHnuvFqaxVoCh+NyCgsLYTRWn+gok8ng60ujVRSnasQTwOZwOE0CnU6HgwcPorCw8TwU6vPiWUuoFzbeA5vDaZTca6GxKHSYtQCB8Jd7spYgCFSCDaHS2vfeaooUSSysJQhCtoVGv1IOh8NhiRXiT6IBABmRxGlvKQ33kjwbjR71FJJtqSwJRRBpp2Ih84lyKuPtt9/Gpk2bqt0nNDS01vbhHPHBA9gcDkdQjEYjVCoVunbtimvXrqFly5YAIJhdeGXoNJOYjd0QjNDsYi2B04BQWUg4ZspgLcHldJc2Zy2B04DYiDxga4hU41y15LOWIAiFRBZtfeU0EhKoOCRQgIo7QisljURbjrig0gPbaKOR5OYhVbKWIAht5VrWElxOnp3GbzPdSiMxs9BSwloChyHTp0/HqFGjqt1HpaKxPsqpHh7A5nA4gqFWq5GUlIQOHTpg6dKlju06nQ79+/dHYmIiSkvLFloVCgVycmj0ZKovVPqVUrGsC5fRqPK8ZS1mLcHlHJLT6PsotdD4baabaAQ8kwlUbwBAS5U/awmCQCVIdotIBbYHgR7YVOZ7BUR6Q+fYadj7t1cGsJYgCFR6YFOBSisDKhwrTWMtweX0UTVjLUEQrhN5Hiu20ki05VROmzZt0KZNG9YyOE0A8QSwbTwbncNp7Oj1esTGxjpt0+l0SEpKQlxcnOPfu3fvZiGP08ihUv1Iw5iPBkV2GlUNVNASqfCkYiFuIFJdRQUvIovwzeRerCW4nGsmGgmsBiIBbLVUwVoCh1Nr1BIa31slkSS3ACLuQulm8SfbXrLksZYgCNml4v8sORwOp6aIJ4DN4XCaFDqdDkajEZmZmbh48SJ69uzJTMvgMbOZjd0QePyWwFoCpwGhUU8PdFCKv/pRSebTpIE7EftBCv3zAMBIJMGkhEignkrVbjYB9xIOpynSTELD4vKancY1yF/mzlqCIGRaaTgkmIjMbburQ1hLcDkt7DSSEQpVNCqTi4gk83E4nPrBA9gcDkdQ1Go1Dh48iGbNmiEuLg7Dhw9nLQmRPzXtDOtLbjQeyKgsTqtBIxPeSKDWXEUkgG2z03BHUBOpUvGW0qhkPW5MYS1BEKhUJhcT6fVdSGChj4rjjr+CRssYAxF70FQ7jfOkApX+syEEXD0AoMhmZi1BENIJJLkFymgkFHcm0pbinPkWawkcDqcJwAPYHA5HUPR6PQYPHozw8HDExsYiICAAERERAID9+/cz0bTgZjcm4zYU//2/dqwlCMJNIgsJRtBISEg0ZbOW4HKoPHhS4ToRW1sqyUI93cJYSxCEWzbxBzwBoMjWtJMRa8pdcm/WElyO+NPbyjhWQiOJhluIc5oigTIabWOSCVhOA0CgnEbCkNku/jvoaWseawmC4Ebk3llgEX/SBYfDqT+iCWDbeQ9sDsflqNVqlJa6Jrs8MTHRJcetCWGaS8zGbgiSApuxliAIEgmNoMplC42FhFwzgYQEIgHs5kotawmCEC6jsfhF5RqURsQ2s7OMxu/zN3MyawmCcI1AdXIQkWttWxWNOcJNcx5rCRxOrXGXiGaptFqoVGBTsRA3EWiPoyby2/SR0AhgByhoXIM4HE79oHHl53A4DUJ59XRDYDQasXTpUkcv7OxsdtWY/SbkMRu7IYjYP4W1BEGgUoFdbKdhcRai1LCW4HIkRCpZb5pyWUsQhBIFjd+m0Sb+xS8AaKYQfyUrAFyx0bh3UulRT4EkIkk0VBbh/YhUPnLERZKlgLUEQVASaY/jKaXRo96NQMK/nUjrqsMlNBIzNXIabhccDqd+0Hhq4nA4jYqAgH8qDvR6fYXXy4Paubm5OHv2rJDSmiQpRKrIqNjayon0Tb5hzGItweW0U/iyliAIUgKLJQAgI/LbpGJZl2GhEdilEiTLsdCYC3nK1KwluBwLkUq5QlsJawmCoCASIAtQubGWwGlAzESuQ1TOk0oA20si/mS+PLtrHCE5bJARWeOrLwaDAStWrMCuXbuQkpICtVqNFi1aYPLkyYiKigIA7NmzBwkJCTh58iRSU1OhUqnQokULPProoxg9ejTkcudnwldeeQWbNm2qdLwnnngC8+bNc/zbarVi0aJFOHPmDFJTU2EwGODn54f27dtj2rRpuPvuuys9zg8//IBvv/0W169fh7u7O+6991689NJLaNas9i6iN27cwCeffIJz584hKysLJpMJwcHB6NWrF2bMmIG77rqrwntKSkqwbNky/PTTT8jMzERgYCCGDx+OWbNmwc2tZvO269evY9u2bfjjjz9w8+ZNFBUVoVmzZujbty9mzpyJwMBAp/0PHTqExx9/vNJjaTQaHDp0qNbnzuEBbA6Hw4B/X+CBsqD17t27Gahp+tgI2ElSgsrnqSQQJLMS+SxDFRrWEgSBSqW5ncj31lvuzlqCIFAJ7FKxIGwp92EtweWcLs1gLUEQqHxnC61G1hI4nFrTTuHHWoIgpBJxOKNCnk38wV0a6cSAu4xG0oWRgO19fcnIyMDjjz+O3NxcjBkzBm3atEFJSQmuX7+O1NRUx36vvfYa3NzcMHDgQLRu3RqFhYXYsWMHXn31VezatQtffPFFpW0Z33vvvQrb2rRp4/Rvq9WK06dPo1u3bhg1ahQ8PT2RmZmJrVu3YurUqXjrrbfw6KOPOr3no48+wvLly9G9e3fMnz8fOTk5WLt2LQ4fPoz169cjKCioVn+H9PR0ZGRkYODAgQgKCoJSqcS1a9ewceNG/PTTT4iPj0f79u2dNM+cOROHDx9GVFQUevXqhQsXLmDlypU4ffo0Vq9eDan0zleU9evXIy4uDg8++CAefvhhqNVqnDx5Et999x22bt2K+Ph4tG7dusL7JkyYgB49ejhtU6lo/K5dAQ9gcxo95dW4QpKZmSnoeJwyS/GjR48CcK7A1mq1Lq/E3t07wmXHFoJRv3VkLYHTgFCpNA9Uin8RngopRPpbUqkiM/BgA6cJQuX3yStVxAOVnqzc3l9cNJPQqDTPIlLlSaUCmwpW2FhLEAAqIWwa2OwUvrP1Y+7cuSgqKsKWLVsQEhJS5X5LlizB3Xff7RSknjp1KqZMmYJ9+/bh999/x/3331/hfeUV3NWhVCorrdaeOnUqBg0ahM8//9wpgH3t2jV8+eWX6NixI7755htH9Xf//v3x6KOP4qOPPqrUjbU6+vTpgz59+lTY/vDDD+PRRx/F2rVrnY65adMmHD58GFOmTMGCBQsc20NDQ/Huu+9i69atGD169B3HHTJkCGbOnAlv73/aj02YMAFdu3bFf//7X/zvf//Dxx9/XOF9Xbt2rdHfllMzxBPAttGoFqFIea9kIYmNjRV0PMqUB6szMzOd/j8uLs6xT8+ePV2qYdDhSy49vqtxwxjWEjicWpNsZNf3Xij+j0j1ho1ILzJlDTJ0xYBGQaMXGZVkIQqW0wBgIlLBYSKwON1WSePeecaYzlqCIMgkNO6dIOCOAACpdhrW90V2M2sJgkAlkYYKVOa2FGhOxOHsfEkaawmNmmPHjuHgwYPQ6XQICQmB1WqF0WiEh0fF5/V77rmnwjaZTIahQ4fi2LFjuHjxYqUBbLvdjqKiIri5uUEmq11CsIeHBzQaDbKzndf2tm/fDqvViilTpjhZl3fq1Am9evXCzz//jDfeeANKZf2THENDQwEAhYWFTtu3bNkCAJg2bZrT9sceewwff/wxNm/eXKMAdqdOnSrdPnz4cPz3v//FxYsXq3xvSUkJJBIJ1Goaz+OuRDwBbA6H02RQq9VISkoC8E+CwtChQwEAcXFx0Ol0Lg9a386Dq/sJNpYrOHAXjT67VPrPUsmED1cHsJbgcqhYiFNBTqTCk0b1Bp1KVjORz1NO5LGWwkzolo2GC4S/wpO1BEEwWGlUsnLERQspjd+nTE7hrkKnPQ4F/KQ0AkFUkmhaqvxZSxCEAQMGVPt6QkJCpdv37dsHAAgPD8ezzz6LvXv3wmw2IyAgAI899hieeuqpOwadMzLKWvP4+VWeINqzZ08YDAbIZDJERkZixowZGDRoUKX72mw25OXlwWazISsrCz/++COuXLlSodL41KlTAIBu3bpVOEa3bt1w+PBh/P333+jYsfZuoiaTCQaDAWazGUlJSfj0008BAA888IBjH7vdjjNnziAwMNAR4C5HrVajQ4cOOHPmTK3Hvp3yv6u/f+Xf4bfffhs6nQ4AEBwcjFGjRtWq9zbHGRpP+hwORzACAu4clNLr9RWq3EtLS3Hr1i1BA9flzF/etC3jR4LGpK+yfi1ihMp5lhKolqOxJESHADmNxcwSIgsm3lIaPaio9JajEiS7ZslnLcHlBMloXGsLCPQqBQADaJwnR1xcsuSxliAIVBKn2yloJPxnE0gAyyVwjgBgsJlYSxCEEiLn6YO6VRpfuXIFAPDqq68iLCwMb731FgAgPj4eH3/8MdLS0vDmm29W+f709HR8//338PHxqRBE9/Pzw5QpUxAZGQkvLy9cv34d3377LebMmYOXX34Z06dPr3C81NRUp+Oo1WqMHz8er7zyitN+5cHd4ODgCsco732dnp5epwD29u3bHYFhoCyAPHfuXIwbN86xLS8vDyUlJWjbtm2lxwgKCsKJEydgMBjg6Vm3545y2/CxY8c6bZfL5XjggQdw3333ISQkBDk5Ofj111/x5Zdf4s8//8S3337Lg9h1gAewORxOgxIYGFin9zVr1sxhG67T6ZCWlubSvte34/ZS0w5g2wI7sJYgCFSq5ahAIROeV2CLCwuRRT4lkUrzVHMBawmC4E3EQtyNSJ/dUiIJJhS4ZS1mLYHD4VRBCJFEmotm8bd0AoBkq4G1BEGgkBhFJQFVJaURrrlWksFagiAcTajb2nZRUREAwM3NDXFxcQ7L7WHDhmH48OH48ccfMW3aNLRq1arS986aNQsGgwGffPIJNBqN0+svv/xyhfdMnDgRY8aMwUcffYThw4dX6LkdEBCA1atXw2w2Izk5GVu3bkVxcTFKS0udbM1LSsrajVRmEa5Slf2Gjca6JaP069cPq1evRklJCf7++2/s2LEDhYWFsFgsDrvy8mNXZVFerqGkpKROAezPP/8cv/zyCwYOHIgxY5xbevbo0QNffPGF07Zx48ZhyZIlWLFiBb755hvMnDmz1mNSRzxXRBsNezwORwjKe1GXU1rq+olweHg4hg4dioKCAphMwmbhFSvfFnS8hkaK3awlcBoQd4mCtQRBMBOoT6aSdNFcqWUtQRAoLAoBdPrnUQnUFxGpbKBSRaaRiT9j/28TjYCKD4HPEgAKrTSq5Tjigkpg15uIHbOGSNCTiusORzz4KCr2cub8Q3nv5JEjRzoFY5VKJUaOHIlly5bh0KFDFQLYRUVFmDlzJs6fP4/XXnutSkvwf+Ph4YFp06Zh4cKFOHDgAB599FGn11UqFfr27ev496OPPoqJEydi6tSp2LhxIxSKsrXM8gpjk8lUof9zeXyhrn2hAwMDHYVzAwYMwPDhwxEVFYWcnBwsWrTI6dhVxRbKNZTrzMvLg9nsnCTs6+tbqT372rVrsXTpUvTu3RtLliypsYPmrFmzsHLlSuzdu5cHsOuAeALYHA6nwSjvS13O4MGDBRnXz88PHTp0cBp76NChyM527QPk4DGzXXp8V+P226+sJXAakGIi1VXZJvFXP1Kxq0sx57GWIAgqKY3kEiooJTQeg6hUqlC5DhVKxJ/8RSWJRkMkcMQD2JymSLDcm7UEQci3lrCWIAiloFHwROX+SYE0Ux5rCYLgLqPxnFJXyi24K2vVWb4tP9+5vZDBYMCMGTNw4sQJLFy4EBMnTqzVmGFhYQCAW7du3XFfpVKJ4cOH47333sPx48fRp08fAGUW3ZcuXUJ6ejruuusup/dUZy9eF5o3b45evXph48aNeO2116BQKKDRaODm5ob09PRK35ORkQFPT09H9fWzzz6Lw4cPO+2TkJDg+FuUs3r1aixevBj33HMPli9fXisrcHd3d/j5+SEnJ6eWZ8gBeACbw+EwQq1WIzY2FpmZZfbdRqMR4eHhSEpKAvBPFXhJSQmOHj2K6OhohIeHY/fuhq823rVpWYMfU0iiaBQ/ksGDiA2qVUHDmo8jHkqsNCpZqaCU03gMMhNZtFUTuXd6EUhIyLHRqCD7uzSLtQRBUPPkL04TJN0i/kRbALDYaLiXKIi47lBIWqRSZd5KVTFgKUbOFaewltCo6dq1K+Lj45GWllbhtfLgrJ+fn2NbYWEhpk+fjtOnT+Ott95y6gtdU65fvw6grLd0TSh3by0o+Oe+2blzZ+zfvx8nT56sEMA+ceIE3N3d0aZNm1prq06D2WxGcXExfHx8IJFIEBkZiSNHjiAlJQWhoaFO+yYmJqJbt26ObfPmzXPSD1RMGvjyyy/xwQcfoH///li2bJnDhrymGAwGZGdno0WLFnU4Qw6NlRsOh8OE8iB0eZD6dvR6PQAgNjbWaVv5v8urwKOjowGUWYynpaXB29u7wo2lvujz4hv0eEJjv6tmE4umTk2tWZo6JTYaFdgUFuGp9MC22Wmcp4xA5SNAp9KcisX/LTONvo9UKJGIf45gI3LvDFB4sZYgCDmWItYSOJxaYyKSSOMvp5FQ7E4kyY1CYlQokdZVaeb8O+8kAsJUNBzr6sqAAQPg7e2NLVu24JlnnnFUDBcVFWHTpk1QKBTo168fgLLg9RNPPIFz585Br9dj9OjRVR63uLgYMpmsQhA2JycHX331FZRKJfr37++0XaPRQCp1Xg8pKCjA5s2bIZPJ0KlTJ8f2ESNG4PPPP8fXX3+NESNGOHpTnzlzBkeOHMGYMWNqHQDOysqqtBL9zJkzOH78OFq2bAkfHx/H9qioKBw5cgSrV6/GggULHNvj4+NhNBoRFRXl2BYZGVnt2J9//jmWLl2KBx98EP/73/+q7K0NALm5udBqna9Tdrsd7733Hux2OwYOHHjHc+VUhAewORyOyygPQt8epL4T/67MDg8Px+jRo5GZmemy3tjzl1cMsDclRkloZGdSscSicp7XjOJ/wO7gSeMBW0okucROJKhSYClmLUEQinhCgqig4pBAodc3lYpdKvM9Kr2+qdBMQuPzTCZia5thplFp7iajEcBuptSwluByTEQqsEtsNOa1AUSSaOqKl5cXXn31VcybNw/jxo3DuHHjIJFIsGHDBmRkZCA2NhYhISEAgJiYGJw9exYDBgyARCLBli1bnI7Vrl07tG/fHgBw48YNPPnkkxgwYABatGgBb29vXLt2DRs3bkR+fj5ee+01BAUFOd67detWrF27FgMHDkRYWBhUKhWSkpKwZcsWZGdn48UXX3SyBG/VqhWmT5+OL774AlOmTEFUVBRyc3OxZs0a+Pv744UXXqj132LhwoXIzMzE3XffjdDQUJhMJly4cAHbt2+HRCLB66+/7rT/2LFjsXnzZnzzzTcoLCxEz549cfHiRXz33Xfo3bs3Ro0aVaNx4+LisHTpUvj7+2PQoEHYuXOn0+seHh5OQenp06fD398fkZGRCA4ORk5ODhISEnDq1Cn06tXLUaTHqR3iCWDbaCwqcjhiRKfTOQLW5ZXZffv2dfTednWPCLvueZce3+VoeQ9sMUGl8shfSaO3HEc8uBNwDQAACZGgioVAIBCgE8D2JPL7pNCv9G5VM9YSBOG3khusJQgClYQEKqTaxX8NAgC1RDxLpdUip5GQoACNpEVPApXmdiLOXxqVmrUEQfir4DJrCY2e0aNHQ6vVYsWKFVi2bBlsNhsiIiLw4YcfYvjw4Y79zp49C6Csd3NCQkKF48yZM8cRwPb390e/fv1w7Ngx7Ny5EyUlJdBoNOjZsydiYmLQq1cvp/f27NkT586dw++//+4oLvP19UXXrl3x2GOP4d57760wXmxsLJo1a4a4uDi8/fbbcHd3x7333osXX3zRKTheU4YPH46tW7di27ZtyMnJgd1uR0hICKKiojBt2jS0atXKaX+ZTIYvv/wSy5Ytw86dO7Fjxw4EBARg2rRpmD17NmSymrWWOHPmDAAgOzsb8+fPr/B6aGioUwB7yJAh2Lt3L+Lj41FQUACFQoHWrVtDp9MhOjoaCgWfF9cFIrMyDofTmDEajQgMDHTa5ufnh8jISBiNRuTm5gL454bMoQmVwC6VihwKFuK37KWsJXAaECWR/nlWKY3HAxVoPDxSuaeklOayliAIFFoZ5NnFb5MOcAtxDqcxQ6WlE5lkPiIV9X/liz8Y2M6TRpKbm4TGc4pGySuwa8L999+P+++/v9p9Ll68WOPjBQQE4L333qvx/pGRkXj//fdrvD9Q1gJy4sSJmDhxYq3eVxXDhg3DsGHDavUeDw8PzJ07F3Pnzq3zuIsXL8bixYtrvP/MmTMxc+bMOo/HqRwaK1QcDqfJERkZiaSkJMTFxWH06NFITk522VgS/ccuO7YgvNeRtQJOA0IlUE+hp7kbleoNjqigsmBiho21BEGgck/xkNNYnPaQib8ix0rkt2kiEjii0mOXClQsxBUK8ScLAcA1Sx5rCYLgJRX/vRMA7vOJYC3B5aiJJBSnW2m0dPIi4gLB4XDqB19Z5XA4TFGr1UhKSkJgYCB0Oh12794NAPD19YXBYEDPnj1drmHQ4UsuH8OVqO2jWUsQBAoBT0o0l4l/QZPG0hdgI2LlZiTSc41Kxa6aSKV5voWG3auv3IO1BEEIInDv/Nt0i7UEQXAnYPUKAFoCSRcA0AE0FuFP2g2sJQiCnUjyl9FKo8+uXebOWoIgZFrF73gRJqPhXkKl17eaSOI0p3KKiopQXHznZI2AgAAB1HAaM+JZueE9sDmcJoler0dsbCzUajXS0tLg7e0No9GIwsJC1tI4HCa0kPuwliAIFLKKQ2Q0AipSIsklRVYjawmCUEJkMTNIpWEtgdOAmO00qnavmWlYpVPAjUgAu5TIbzNRQiNZiAo3zHmsJQiCJ5EEE4ONRlsnK4GkYi8iDmeZ5gLWEgTBl7u0kGbVqlX49NNP77hfbezROeKExpWfw+E0evR6PQAgJiYGWq0Wp06dglwuR05OjsvHTox2+RAupftvNIJHVKoCb1poPKyYCVhnhhGolKMElWCDSkojE57KPYWKe0kIkQWwDAL9hH2J2El6EKk6cidi9+oLGp/nNbv4E1ABOu1UqAR2myloJIgHS8V//8y000gophLYpeJGw6mc0aNHo0ePHqxlcJoAPIDN4XAaFWvWrAEAQazDy5k1sJ9gY7mCP+x+rCUIgp1IsIFCYBcAAgg8lCmIfGepWIg3V2pYSxAEuYSG+f3ZkjTWEgRBTSQh4VxJOmsJgqCQij8Y2ExOwx7USsSi+GRpBmsJgtBeScPekoq1dgeFL2sJgnDKlMVagiDkWmk4JFBwo9FIVawlcBqQZkTs/TmV07x5czRv3py1DE4TgAewORwOc9RqtaABa7FBZSFB/I9jZQQRCOwCNHp0BUhp2PJRodBOw1pbaqeReBGgoBEkkxFJSMiz0KgKpGD3WkCkIpAKVBIzOeLisiWftQRB6EIk8UJGJKnYRGDFJMlqYC1BEKhUJkuI/DY5HE79EE0A206k+qe2GAwGrFixArt27UJKSgrUajVatGiByZMnIyoqirU8DgdAmX24Xq9HTEwM8vLykJmZCbvdDrPZzFpak0AGGovTVGxQKQR2AcBKIEOcxi8TiFAHspYgCFSqN8i4XRBY5AOAQgsNq0UqcwQZgfP0JlJdRWW+pyBiIU4FKsGGQCJVgYlm17drawx4E0j+AgAvAtb3VJIRqLi0FNr5mi+Hw7kzoglgcyqSkZGBxx9/HLm5uRgzZgzatGmDkpISXL9+HampqazlcTgVWLNmDXQ6HTQaDZKSkiCRSGAyub7i7bNfD7h8DFfSDaNZS+Bwak0ggUpzKg+el4yZrCUIgruMRlCFSm9oCm0MAMAgofG4pyRynqUEFvr+NmWzliAIQUSs0gtZC+Bw6gCVQD2NJxUaidMAYIT4HS+oJJekEKk0lxO51nI4nPpB40mfKHPnzkVRURG2bNmCkJAQ1nI4nBqh1+sBADExMdBqtTh16hTsdjsKC123/NEhzmWHFgQqVUdUkBOp2822iL/yKFDpxlqCIEiJXIOMNhoW4iVWGudJ5d6pJhLYzbLQCJN5EqhObqf0Zy1BEJIsBawlCAIVG1QqNJPQmNvmEGkbQ+X3WUIg+QsAesnE37v9kJWGa4CCyJoQr8DmcDg1gcaKBkGOHTuGgwcPQqfTISQkBFarFUajER4eHqylcTgAAJ1Oh927dwMAfH19kZPDbiJ6fu1fzMZuCCKbW1hLEAQKtpkAnfNsrxB/zzUaj52AjUgblw7qINYSBCFIQsNm8dfiq6wlCIJGTmPu30KhZS1BECjMEbQSGgEVA5EqMoWExmzIRqSWNcVezFqCILSWELl3ErHWvolS1hIE4TKB3+ddMhoOSgVEArtK3maEw+HUAB7AbuQMGDCg2tcTEhIq3b5v3z4AQHh4OJ599lns3bsXZrMZAQEBeOyxx/DUU09BJuM3Co6w6HQ6GI1lvRhzc3MRGRmJS5cuubS6uiYkex9nOn59GaGhsTBExdbWaKeRkGAnsNAnfhO3MporaQSOrploZPyfJ1Jp3lJFo8pTRiR4lGuj0aPeSiBhKFBBI6BC45cJmIlY97oTcbugYq2daqcR8Eyzid8RCwDsBO6dAI1EmhZy8SfBA8B1Gw0L8XRzPmsJHA6nCSCeWbZN/Dfq2nDlyhUAwKuvvoqwsDC89dZbAID4+Hh8/PHHSEtLw5tvvslSIocgRqMRS5cudfxbp9PBbDYjPDwcRqMRp06dglwuF7waOy/4WUHHa3CMu1gr4DQgVHp07Su6xlqCy+nncRdrCYJw05TLWoIgNFNqWEsQhAwzjdQLA5FAvQU07ikt5RrWEgQhQCJ+C/F0u5G1BEHwIlJpXkSkiowjLqjcO6lch7Qy8d87ARqJUVcJVJkDdNxL3In8NuuDwWDA2rVr8fPPPyM5ORlKpRJhYWEYO3Ysxo8fD4VC4bT/uXPn8MUXX+DYsWPIz8+HVqtFx44dsWDBAoSFhTn227lzJ/bv34/z58/j8uXLMJvNiIuLQ8+ePSto+OSTT/Dpp59Wq/P3339HUNA/jnUXLlzAp59+iiNHjqCoqAihoaEYNWoUZsyYAaWy9veeffv2Yd26dbh48SJyc3MhkUgQGhqKIUOG4PHHH4e3t7dj39LSUmzduhX79u3DhQsXkJmZCa1Wi4iICDz55JO4++67azzu4cOH8csvv+DIkSNITU0FUFYsOnLkSEyaNAlqdeWJt3/99RdWr16NU6dOobi4GP7+/ujcuTPefvtteHrScJJoSMQTwBYpVVVY34miorJMSjc3N8TFxTkuDsOGDcPw4cPx448/Ytq0aWjVqlWDaeVwaoter4dOp0NSUhLCw8OhVCphs9ng5eUlaFW2Jv0TwcZyCRrWAjgNiZtUceedREBfIsFdCrjJaCx+GW00FuH95TQeqIqIBLCp9Pq+ZaMR9Ey1i7/Xdwe5+Ht4AsCh0lTWEgShryqUtQRByOOBelERTKSdSjZozIUURJwDMgnMhTRE+rZ7EXH1yLeK/ztbHywWC6ZOnYrz589j9OjRiI6Ohslkwq5du7Bo0SKcOHECS5Yscey/fft2zJ07F+3bt8fUqVMd7TrPnDmD/Px8pwD2d999h5MnTyIiIgItW7bEpUuXqtQxaNAghIeHV9iempqKjz76CB07dnQKXh89ehTTpk2DXC5HdHQ0wsLCcPLkSXzyySc4ffo0Pv/881o/o/79998AgLFjxyIwMBBmsxlnzpzB8uXLsWPHDmzYsAHu7mXteZKTk7FgwQJ069YNo0ePRnBwMNLT07Fu3TpMnToV//nPfzBjxowajbtkyRKkpqZi0KBBeOyxx2A2m5GQkIDFixdj27ZtiI+Ph0rlnIixYsUKLFmyBH369MHTTz8NT09PZGVl4cSJEygpKeEB7DpA44pIkPIMkJEjRzpltiiVSowcORLLli3DoUOHeACbw5RyS/Fbt24hNTUVCoWCSS/snMy1go/ZkEgjmrGWIAhUFuGpBMn+LLrOWoLLGeTRmrUEQSix0lj8UstpJJcUE1mEL7TSsJwOVviwliAIVHroUTjPVBuN6qr/UwaylsDhcKrgqDmLtQRBoJI4rZXSSEjItIrfEp6CTToA+BH5zqab8lhLaNQcPnwYZ8+exRNPPIF58+Y5tkdHR+ORRx7Bjh07sHDhQnh6euLatWuYP38+RowYgcWLF0Mqrb6Kf/HixQgMDIRCocAnn3xSbQC7ffv2aN++fYXtH330EQBg/PjxTtvfeustmM1mrF27Ft27dwcATJw4ES1btsSHH36I7du3Y+TIkTX9MwAApk+fjunTp1fY3rp1ayxZsgS7du3C6NGjAQC+vr7YuHEjOnbs6LTv+PHjMXLkSHz88ccYP348fHzu/Jz80ksvoUePHpDL/wmhTpkyBS+99BK2b9+O9evXIzo62vHa4cOH8cEHH+Dpp59GbGxsrc6RUzU8gC1SgoODAQABARX7g5Rvy8/nvSY4wqHT6ZCZmen4f6PRiNzcXGi1WmRnZzPVNvGpw0zHry9ukjGsJQgClR7YdyuC7ryTCNhuKmAtweWYiNgPSokkl1Cxk6RyrfWWu7OWIAhUFvp8iNigUqjIOVKaxlqCILRX0ujjmWih0WYkREajmqaZxI21BEEwSGkkZ8oJJEUBgJKEuTbQWeHPWoLLuUGkN/Q1C431+jAVDdedulLuTBoY6Jz0KJPJ4O/vj8uXLzuKFleuXAmr1YpXXnkFUqkUJSUlkMlkVdp1h4bWzyHHarVi48aNcHd3x4gRIxzb8/PzkZiYiJYtWzqC1+WMGTMGH374ITZs2FDrAHZVlJ9HQcE/64tarRZarbbCvoGBgejVqxd2796Na9euoWvXrnc8fp8+fSrdPmzYMGzfvh0XL1502r58+XJotVrMmTMHQJlDskqlcgqAc2qPeP56vAe2E127dkV8fDzS0iouAKSnpwMA/Pz8hJbFIYzRaERgYCB0Oh0OHjyIrl27QqvVIjc3F/3790diYiJsNhuTCuzdvSMEH7MhGb63A2sJgmAnElQpJRIkCybQT5jKYkmoQsNagiDQ+GUCBlspawmCQCVQn0+k0pwK4XLvO+/UxAlUeLGWIAhuRAJHXYhYwmfaaQQ8U+007ilU5nxUKIKFtQRBMNqtrCW4HA8JDdcAqZTGc8otKw3XnQEDBlT7elXtY7t37w53d3d8+eWXCAoKQteuXVFaWoqdO3fiwIEDeO655xwB6t9++w2tWrXCqVOn8P777+PKlSuQSqXo3LkzXnzxxSoDsXXl999/R0ZGBh555BEnS2yTqWw+5OZWMeGtfNupU6dgt9vr5LJZVFSE0tJSFBcX4/z581iyZAkUCgXuvffeGr0/IyMDQP1jYuXH8ff/J3GopKQEhw8fRv/+/bFlyxZ89tlnSElJgVwuR+/evTFv3rxKK9k5d0Y8AWyOEwMGDIC3tze2bNmCZ555xnExKSoqwqZNm6BQKNCvXz/GKjkUMRqNUCgUWLp0KYB/qrFZVmG/80wTt/B7l7UAYaBiIX7KzNaRQCisdr40JBZummhUV3nJaVQdFVtpBLBNNhqLme3VNFw9SiH+RVsAKCRg8Z9uFr9DCwAEq2i4QFAJ7FKBSgU2kRxUWIm4tKiIfKDXCVTt+ss8WEsQBAotYwCgwEIjgO2Ourm0BAQE4LPPPsPChQud7KhVKhXefvttPPLIIwDKKrWzsrJgNpsxZ84cTJgwAbGxsbh+/To+//xzPPHEE1i9ejV69+7dIOcDAD/88AMAYMKECU7b/f39odVqceXKFWRlZTk5Ax86dAgAUFxcjPz8fGg0mlqP++abb2LTpk2Of7dt2xafffYZWre+c/u+PXv24PTp0+jduzeaN29e67HLMRgM+Oqrr6BQKJwqyW/cuAGLxYJTp07hwIEDePLJJxEZGYnz589jxYoVmDRpEjZs2MDb+dYBHsAWKV5eXnj11Vcxb948jBs3DuPGjYNEIsGGDRuQkZGB2NhYhISEsJbJIYZarUZSUpLTDUyv1zv+X6fTYffu3Y5/SyQS2O2uf6jaO+2Ay8dwJWqMZi2Bw+FUgpHXb4gKOZHFL08ZjZ5rNhmNRds0SyFrCYIQqRS/bSYAmAkEG6i4I1BIRgBoVAQCdNoYUKnA9iJS5ZlspWHH7CGlkTAUoRC/40URkXunG5FwTbDizj2IxUBCwq46v9fT0xMtW7ZE7969ce+998JoNGLTpk147bXXIJFIMHbsWBQVFQEA8vLy8NRTT+HFF190vD8yMhIxMTH48MMPsW7dunqfCwBkZmZi3759iIiIQJcuXZxek0gkeOKJJ/DBBx9g1qxZePnllxEaGopTp07hnXfegUKhgNlshtForNPY06dPx6hRo5CXl4fjx4/j6NGjyMvLu+P7Ll++jHnz5sHHxwfvvPNOncYGAIvFgtjYWKSkpECn06Fly5aO1wyGsntqTk4OFi1a5AjuDxo0CM2aNcOCBQuwbNkyfPDBB3Uenyo0rohEGT16NLRaLVasWIFly5bBZrMhIiICH374IYYPH85aHocger0esbGxUKvViImJcfSkKLcPBwBfX1+HjbgQwWsAWPdFw2WhseCxtjSqq6gEj/oomrgjQA3Zb0plLcHlqIl8Z5srK/YXEiNUqlSooCLQSxgASogs9N0iYn0vI+BGYyYS8Ey30AgcNZPTsITvABqVySdAIymqxE7DpaW3TPwBTwC4SiTxgsL39haR1jh95QF33kkEZEtofJ515cKFC3jssccwdepU/Oc//3FsHzVqFCZNmoRFixbhgQcegEqlcrw2duxYp2Pcc889aNasGU6dOoWSkpJKrb1ry8aNG2G1WjF+/PhKX58xYwZMJhNWrlyJKVOmAACUSiWeeeYZ7NmzB2fOnHGyHa8Nbdq0QZs2bQCU9aH+5Zdf8Nxzz0Emk1UZ67p69SpiYmJgs9mwcuXKCtXXWVlZTv+WyWTw9a14f7RYLHjppZfw+++/Y/r06YiJiXF6Xa0uKwSQSqUYM2aM02ujR4/G66+/joMHD9bqfDlliGblxs57YFfK/fffj/vvv5+1DA5xyiuvgbJgdYcOHZCeno5Lly45+mOwxDdwKmsJ9UKp2X3nnUQAFQvxQ+ZM1hIEwUMq/koVKhXYVCzEgxTi7z0LAFYi31sqPfSotGvwkNL4PC+Zb7GW4HLaq2gk8imIJLnlE7EQTySyCC8h4pCQRqQy+bIth7UEQeikpHFfMRFIAPOT0UgWOmQV/3wPAK6VZN15J8KsXbsWJpMJQ4cOddoulUoxZMgQnDx5EqdPn8b9998Pd3d3FBcXOzmelhMQEIDU1FQUFBTUO4Btt9uxfv16qNVqREVFVbqPRCLBnDlzMH36dFy6dAkWiwVt27aFl5cXvvnmGwQGBtY5gP1vBg8eDA8PD6xbt67SAPbly5cRExOD0tJSrF69Gp07d66wz79b7IaGhmLPnj1O28xmM1566SX88ssvFarcyyl3Ovb29nb0Ji9HoVBAq9UiP1/8rR5cgWgC2BwOp/FSXnkNAH5+fli6dCl0Oh3S0tJw9uxZxuqAwWNms5ZQL9R7aQSwqeBGZBFeKIcFlriDRu8qKsgkNIINMiJBlTxb3WzLmhpU7ilUgg0UetS3UdKwes0n0rfdl0iyUA4Rtwsq2Ag8pwCAt5RG2xhPIs9kRgLnqSDyPJZsLWAtQRA6uPPWptWRmVlW3FLuWHo7FovF8V+JRIJOnTrh0KFDSE9Pr9APOi0tDXK5vE49p//NX3/9hZs3byIqKgre3tUn+KvVaqeA8ZkzZ5CTk4NHH3203jrKsVqtMJvNlQaGL126hJiYGFitVqxZswYdO3as9BirV692+vftFe0AYDKZ8MILLyAhIQFz5szBs88+W+lx/Pz8EBYWhpSUlArV7qWlpcjJyUFgII2EqoaGB7A5HI6ghIeHIzY2Frm5FSv2ynthCE3kT017YeWiG43qKpmdxsNKkY1GpYpCIv4H7GIii9NUoFLJWkAksCsncA0CAINF/AFPgM4ivL+iYaoVGjOX7EWsJQhCcwmNKrJrNhqfJxVXDyrcTaSlU7Kdxpzvpq2YtQRBaC8Vf8uGy0TmCG0J9DMHADkRl8W60qZNGxw4cAAbN250CgSbzWZs374dMpkMnTp1AgCMGTMGhw4dQlxcHP773/869v3111+RmZmJ/v37VwjM1oUff/wRAKq0D68Ko9GId955ByqVCk8++WStx83Kyqq0ujw+Ph4mkwldu3Z12n7hwgWHxffatWvRvn37Ko/dt2/fKl8zmUx47rnnsHfvXsTGxuLpp5+uVueYMWPwySef4LvvvnM6z/j4eNhsNjzwwAPVvp9TOTyAzeFwBEWv1wMAdDodTpw44fQai+A1AGzLGHrnnRoxUW38WEsQhAsWGjbFWiK2WEYCPbp4z2ROU8RTWv8H26YABZtFAPCVebCWIAg5VhoLmmoCQbLLpdmsJQhCAZG2FOlmGlaJnVTBrCUIgp3I3DYf4n9OAYBbRJIWZUSCZBS+t/k2GomZaikNN5pWdhoJqHVl6tSp2LJlC+Lj45Geno7+/fujpKQEW7duxcWLFzFt2jQEBQUBAKKiorBt2zbExcXh1q1b6NOnD27evIlvv/0WXl5eeOWVV5yOfeTIERw5csTx/wCwZcsWHD582HG80NBQp/fk5ORg9+7daNWqFXr27Fml7mPHjuH9999H//79ERQUhKysLGzatAkpKSl499130bJly1r/LUaMGIFu3bohMjISQUFByM/Px+HDh7Fv3z6EhoZizpw5jn1TU1MxdepU5OXlYebMmbh48SIuXrzodLx7770X/v7+dxz3P//5D/bu3Yvu3bsjJCQEW7ZscXo9PDwc3bp1c/z7iSeewK5du/D+++/j2rVr6NixIxITE/Hjjz8iJCSkyuptTvXwADaHwxGExMREh404gEorsFnRcto21hLqRTGmsJYgCFIiPddyrTR66FHos0vDM4AOhUQWTMw28S9+AYCKiLV2rpVG1VGAXPyVyQDQVir+oGeegoYVM5UkmltE3C6oQKUHdrqNxvNYoJRG4jSNtAsaydMyItcgKuy2pLOWIAiv1fF9zZo1w/r16/HZZ5/hzz//xP79+6FQKNC2bVu89dZbGDdunGNfqVSK5cuXY8WKFdi6dSsSEhLg4eGBgQMH4rnnnqsQND548CA+/fRTp20//PCD4/979OhRIYC9ZcsWmM3mO1ZfBwUFQaPRID4+Hnl5efD29kbPnj2xdOnSKm2878Tjjz+OP//803FMpVKJFi1aYNasWYiJiYGPj49j35s3byIvLw8A8OWXX1Z6vK+//rpGAezytqfHjx/H8ePHK7w+ZswYpwC2u7s7vv32W3z66afYtWsXNm/eDI1Gg0ceeQTPPfdcjcbkVEQ8AWyb+G/UHE5Tprz39e3ExsY69cPWarWOwLaQvbEPfK8RbCxXMDDwAdYSBEFCJHPaV04j2zbbIv5qOf6ALS7UEvFMm6uFSOYFlXtKqEz8dpIAUEzA1QMATASSv5RELkLHjCmsJQiCmkiyEEdcUAnsFhDp3V5E5DzNEP/1trVM/Il8AHDBmsdagiB4SJWsJTR6wsLC8M4779RoX5VKhTlz5jhVI1fFs88+W+tq4GnTpmHatGl33C8sLAyff/55rY59J2bPno3Zs2fXaN8+ffpUqLiuK3v27Kn1e7y9vTF//nzMnz+/QTRwxBTA5nA4jYbyauvMzEzHtsDAQOh0OhiN/9hUlb9ebisOoFobEleRnBch+JgNiTVC/IuZAJ0e2CVEHrBTjbdYS3A5HZU8u1JMUKmWC5LTCHhmWQysJQhCupXGebaWa1lLEAQKiVHZdhpuF15yGgEyKq4eVKBiIa4ikkhjI/J5+klp2BR7EVjiv2ItYC1BELrKaPTAPmrJYi2Bw+E0AcR/d+NwOIJjs9mwdOlSJ8twtVqNpKQkxMXFObbpdDrExsbi1KlTkMvlyMnJYSGXw2lUaIg8YPfwvIu1BJcTYaexOH2EtQCBcCNSRWYhEqhvodCwliAIGUQC2LeI2L2m2cX/efrLaDjRBBLpT3/dyp/vxAQVC/Ecu4m1BEEoIeJeQoUCAt9bGqUbQCsrjfYbZyQ0nq85lZOXlwezufoCHoVCAY1GI4wgTqOFB7A5HI4g6PV6p4B2+TYAiImJAQB07NgRubm5gtqHA8AXyqZtW0NlIYEKeTbjnXcSAVa7+B8/LylUrCVwGhADkR7YRIqOYLCIf5EPAEqJLE5bJTSqyMwEEkzCibhAeBFpS9Fc3Zy1BEHII+KgRAUPIr9PNZEe9UYC904AaEbA+r4INOa1t+w05rV+oFG8wamcZ599FocPH652n969e+Obb74RSBGnsSKeWZn418E5nCZHuZV4+f8XFBTgnnvuuWOGFad2hMtp9AFKthSyliAIHeU07KIocMiUxloCpwGhkHQBACmluawlCIJMQiNSH6z0YS1BEJIItKUAACmB3u0GBY3vbLa1mLUEQVATCQT6EQgcUaKISPLXJVM2awmCEKigkRj1h+EKawkup7dnS9YSBGGrOfPOO4kAJZE5Aqdy5s2bh4KC6tsCeHvTWO/mVA+/UnA4nAZFrVajtLSsSs1ms0GtVsNoNCI4OBgdOnQAAOzfv5+lxAo8ZWraVVj/ZS2A06AcI/KwIidQ5mknkjlNBS0RW9tgBY2HxBRTHmsJgpBlppH8FaCk8b3NsxSxluBy+tlpBBo2QfyfJQDkWmnY+1MJYFPpgZ1np+G6Q2XOl2+l4XA22Ksdawku5xaR3yaV5848InMETuVERkaylsBpIvAANofDaVD0ej0GDx7s+LfRaMTSpUur3F+n0yEtraxK8dKlS7BarbBahbV48luZJ+h4Dc1NIv0tJQSqjgBAaqdxnu7Spm3dXxOoWPc2V2pZSxCEy0YaySUmGw2XFE85jWADFajMEVRS8fcKVNCIj6G5jEbgqEhGYy5EBSqtq9yJVAVmEkiKAkDkWwtYCFiTUnHE8iawVgLwADaHw6kZNGZlHA6n0WI0GrFmzRrodDpH72uZTAabzSZY9aJd97wg47iKcP9DrCUIQjKRQD0VrAQesKVElktSzHmsJQgClQUTKt9bKovwVKrlKLh6AIBSKv7H93QZje9sJpFF23ZEAvU5vAe2qMiz0ajypHBPAYAAIg4Jl8zibwP0fwo/1hIEoYRI3/YMIq2rOBxO/aAxW+FwOI0OnU4Ho9GIzMyyija9Xg+9Xu/YLqTNuLvpVcHGcgV2jGQtQRBsRBbhqWCwin9hiEKQHgBCFRrWEgTBJKexkFBIZNHWS6piLUEQjEScIKjMESgk0ly006gIpJJcUkpkLsQRF1Tab7gRqfKkkpxJYS6UbqOR/EWlMllF5BrE4XDqh2gC2Hab+G/UHI6YKLcWf+ihhxyW4zk5OUy09JuQx2TchkK9dzRrCYJAxR6UwoMnANwisDCkUXiwliAIN000MqepVKnkm4tZSxAErRuN3nJmIgkJQXIafZNvEFnQpECEzIe1BEFIsdG4p3hIxG/vT4lOqmDWEgQh2VrAWoIgyCU0XFo6K/xZS3A5VALYFOzgASBURaMVGYfDqR80VuI4HE6j4d+V1yEhIQgPDxe86vp2dveOYDJuQ/HM/j6sJQhCskX8AU+ATlWghUBwV6g2CKyh0gM71ZzPWoIgeMrVrCUIQlLpLdYSOA0Ileoqk038FfVqiYy1BEHIsBtZSxCEPBuN8/SQ0QhgN5PQsGLOJPL79CTy3EnFjeamTfwOJiU2Gu0aPIhUJsuItADicDj1gwewORyOoJRXXsfGxgIAwsPDkZSUhLi4OMc+Op0OiYmJSE5OFkTToMOXBBnHVbTD46wlCAKVCuwim4m1BEEwWMS/MEQlEEilB7aXjMaircEq/t8mAAQraVQ/yohUHVFJGDJIxP/7pPGNBTQSGovTRimN9htUSLXTqH6kkhRFxflLQyRQf6k0i7UEl9NCSaMHdjGRNSEL+BzhTnzyySf49NNPq93n999/R1BQUIXtGRkZGD58OAoLC/H8889j1qxZjtdKS0uxdetW7Nu3DxcuXEBmZia0Wi0iIiLw5JNP4u67776jtueeew6//PILwsPDsXv3bqfXpkyZgsOHD1f53hYtWmDXrl13HKM6qju/5ORkDBgwoNr3v/DCC3jmmWcadFwA+OOPP7Br1y4kJibi4sWLMBqNeO+99xAVFVXrsThl8AA2h8NhglqtRmxsrKPqumfPnsy0PLi6H7OxG4K/7hK/VRRAJ4BNZSHhPvcWrCW4nBOmTNYSBMFGJHCUaaJRgU2FzkTsQQ12GpUqV8zZrCUIgloq/irPXlYayUI/2jNYSxCEQiJJUT7KANYSBIFKYNediBPEFRMNhzMFkTZAAQTaqXhKaHyWpRIargHZFgNrCY2eQYMGITw8vML21NRUfPTRR+jYsWOlwWsAWLhwIazWypMEkpOTsWDBAnTr1g2jR49GcHAw0tPTsW7dOkydOhX/+c9/MGPGjCp17d69G7/++ivU6sqLNp5++mmMGzeuwvb9+/dj27ZteOihh6o8dk2p7vx8fX3x3nvvVfraRx99hNTU1DprqG5cANi2bRu2bduG1q1bIyIiAqdPn67TOJx/EM+Vn/fA5nCaDOU24o2FvdMOsJZQL9wkY1hLEAQqCyYUelcBNIK7VL6zUiLJJRIin6fRSqNn8gljKmsJgkDl92m10+gVaCZQqbJfSmMx02QR/2cJAF4yGm40VAiW0Pg8L1hpJC0aidgxU0mEd5eJv0VXprWYtQRBMNtpzBE8iLgj1If27dujffv2FbZ/9NFHAIDx48dX+r4dO3Zg3759ePnll7F48eIKr/v6+mLjxo3o2LGj0/bx48dj5MiR+PjjjzF+/Hj4+FR0LSsoKMAbb7yByZMn49dff610/HvvvbfS7d9//z0A4NFHH6309Zpyp/Nzd3evtOL5xo0bSEtLQ9euXdGuXbsGHxcAYmNj8cYbb0ClUmHjxo08gN0AiCeAzeFwmgzlNuK3Ux7UvnbtGlq2bInc3FycPXtWED27Ni0TZBxXMUpDI4HHRuO5E15Ebs1amTtrCS4nxyr+PmSUiHCrPLNZbFBxgaDSQ8+NQMUuQMdCPNUs/qDK3yben15MlILGtRYy8Vc+ApQsxGlwl4qGHbOSSEV9tkX8z55tFFrWEgThz+IbrCUIApVWRw2N1WrFxo0b4e7ujhEjRlR4PScnB2+99RYef/xx/N///V+lx9BqtdBqK/6eAgMD0atXL+zevRvXrl1D165dK+yj1+uhUCjwwgsvVBnArowrV67g2LFj6NmzJ1q3bl3j9/2bmpxfVfz444+w2+11CqDXdNyqKuI5dYfGKjmHw2n0lAe1b6/O9vf3R1FREUpKaDwo1xUqGcVUqln97DQesP8uSWctweUEEumxS4UkUw5rCYLgTiQTnkqvbx+5+JOFACDLVMBagiAoCdigKogEGqhAxR2BIy4oJAsBgK9c/BW7AFBCZB3h76I01hJcjsyTRsCTSmDXZKNhlX6nXswJCQm1Ot7vv/+OjIwMPPLII/D09Kzw+ttvvw03Nzc899xzOHPmTK2ODZT1eAYAP7+KSU5//PEHNm7ciC+++ALu7rV7zly/fj2A+ldf1/X8LBYLNm/eDE9PTwwbNkywcTn1R/xPwBwOp9Gj0+mQmVlmJ6zX6x3bAAhSha3Pi3f5GK7ETqQHNpUK7KsSGva9/kpv1hJcjhU0Fm1DFRrWEgQhw0KjT2C+hYY1HxWoVNQrpDSCnhQC2FS+s1QWbSn0beeIDwsZ+14lawmCYCLyeT7gE8FagstRE0lyK7KZWEsQBG85jUB9Q/PDDz8AACZMmFDhtX379mH79u1YsWJFrQPMALBnzx6cPn0avXv3RvPmzZ1eKy4uxmuvvYZhw4bhgQceqNVxTSYTNm3aBB8fHzz88MO11lVOfc5v7969yMrKwsSJE2v93vr+XTn1QzxPwDTWiDkcUWI0GhEYGOi0rTyQDZQFs9PS0lwWzOY9sJsGVCqw3UHjoSybQLUchSA9AKSY81hLEAQbEYviYiKVyRpFxWx1MVJAJCHBaKVhU2y2iX8R3lvuxloCpwHhFdicpoivnMYc4Yoxi7UEQfCU0+jdnkPAQtxLRuOzLCLyPEZljvBXwpEGO1ZmZib27duHiIgIdOnSxek1g8GA//73vxgxYgTuu+++Wh/78uXLmDdvHnx8fPDOO+9UeP3DDz+EwWDAq6++Wutj//rrr8jNzcWUKVOgUtXN8a2+51ce+K+qb7irxuXUH/EEsDkcTpOkvPo6PDwcsbGx2L9/v+AaeA/spgGVCuwcO41s26GebVlLcDlHTOK3SQfoBHaDFDQSEqRE2lJQsc2kYkGYZabhkFBKoHc7lQrsAAWNnsmFRBbhOeJCRmQuRCV45EmkPQ6FhP9AGY3KRzuRuRCFpIuGZuPGjbBarZUGYd977z0YjUbMnz+/1se9evUqYmJiYLPZsHLlygrV18ePH0dcXBwWLVoEf//au4A2hH14fc4vLS0NBw4cQMeOHdGxY8cKr2dlOSd0yWQy+Pr61ntcTsPAA9gcDocpRqMR4eHhSEtLQ3p6Onx9fZGTI2yf0cFjZgs6XkPj9tuvrCVwGhBPCY1b83WbgbUEl9NJGXjnnURAmpXGgyeVSnMqi5lGOw37XrOVxnlS+d56E+hpbiPyWVJJuqCSREOFrqBRmfyDhUZl8l1qGq3I/KU0nD1uWMTfu91bQqMtxWUiFuJUHJQaCrvdjvXr10OtViMqKsrptXPnzuGHH37AM888A4PBAIOhbL2tvJ91fn4+bty4AT8/vwp9sy9fvoyYmBiUlpZi9erV6Ny5c4WxFy5ciDZt2qBXr164ceOGY7vFYoHdbseNGzegUqkQHBxc4b03b97En3/+ia5du6Jdu3Z1Ovf6nB8AbNiwATabrcrq6379+jn9OzQ0FHv27Kn3uJyGgcYqOYfDabQkJiaiQ4cOSE9PR3Z2NhMNTb0CO0rLWgGnITltZvM7EJpIhR9rCS7nlInG4lexjUbf9jAljYttoZXG56mR0VjMLJHSWBjKt5awliAIFCqwbzZT3QABAABJREFUFUT6W7ZVBbCWIAgFROYIVMiUiL+NASWMBO4pAJBBJDGKQjJfgZ3Gd7aYyPOYhUh/+obir7/+ws2bNxEVFQVvb2d3uLS0NNjtdnz22Wf47LPPKrx3zZo1WLNmDRYuXIhJkyY5tl+6dAkxMTGwWq1Ys2ZNpdXJAJCamorCwkIMGTKk0tcHDx6MLl26OGy6b2f9+vWw2+31qr6u6/kBgM1mw4YNG+Du7o4RI0ZUevzVq1c7/bvc5rw+43IaDh7A5nA4glFuF357v2ubzYalS5c6Xk9LS4NWq8X+/fuhVCphMtHIPORwyqFinWmE+B+wrQTOkRJ+Eho91zRyGjaLp4yprCUIApXqRyUR9xISAWwZjQB2MREXCB8i/UqpkGqnkSxEBSr2vW4yJWsJgkDB/UtGwCYdoDOvlclpPKc0FD/++COAyns4d+rUCR9//HGF7ZcvX8Ynn3yC4cOHY/DgwU4B6gsXLiAmJgYAsHbtWrRv377Ksd99912YzRWfQ9544w3IZDIsWLAAGo2mwutWqxWbNm2Cp6cnhg0bdqdTrJK6nF85Bw4cQGpqKh555JEqq6T79u3b4ONyGg7RXBHtNhoL/hxOU8ZoNDoFryt7PSQkBLt37wYAwYLX+rx4QcZxFfa7aFh/SYj0InMnYovFEQ9UemBTsOUD6FhrU+k/60bknpJqpvH7pECIwoe1BEHIsRazliAIVJam3aWiWVrjgEYvYQBQEgnsUumBXWAXf/GHgshdpT0Rl5ZbNiNrCU2GnJwc7N69G61atULPnj0rvB4UFIShQ4dW2H7o0CEAQJs2bZxeT01NxdSpU5GXl4eZM2fi4sWLuHjxotN77733Xke/6wEDBlSq67333oNMJqt0bADYt28fMjIyMHHiRLi7170VUm3P73bKA/8TJkwQZNwLFy5gz549AMpcZwEgISEBKSkpAICHHnqo2mQBTkX4LJvD4TBBp9PBaDSitLTU8f8nT56ESqUSvA+2TtO0bT7GaBNYS+A0IEVEbLEKCZynhMjiV3Mi1tpJJuHuSxzXU2TlCyZiwmSjkXhBpaKeAkoiVun8O8vhNF7URJLcqLSmOFh4lbUEl9POvRlrCZwG5HJJOmsJTYYtW7bAbDZX2cO5tty8eRN5eXkAgC+//LLSfb7++mtHALuulFuKN5Tu2pKdnY29e/ciIiICXbp0EWTM8+fPV6ja/uWXX/DLL78AAIKDg3kAu5bwADaHw2GC0WjE0qVLMXjwYMf/R0dHIzAwEGq1GkajEfv37xdES1hBd0HGcRXdw3ezliAIVCqw3aQ0FhLMBHp0UaneuGnKZS1BEKgkJFCxWbTYaPRco3LvpPL7VBKo8kwx57GWIAgtFDSSv66abrGWIAgaVTBrCZwGpKeaRpDsbwuNOTwV2+nR3uK3sM2w00hAzSbi0tLJozlrCU2GadOmYdq0abV+X58+fSpUVle3vbaUVxpXxeeff17vMarjTufh7++Ps2fPCjru2LFjMXbs2AYfkzLifwLmcDhNhvDwcCQlJSEwMNCpL7bRaMShQ4dcZik+2/ayS44rFH+BhoU4FYps4rf+AgC1TPxTECr9zDniwkoguQQATESs0lVEqqso9IYGAItd/IkXD7u3Zi1BEK7baPSe9ZV7sJbAaUBCJDR6ml+0FrCWIAjZZgNrCYJAJTmzhIDDWYis8v61nKYJlbUvDodTP8SzekxjrY3DETV6vR46nQ5JSUmOwHVubi6SkpJc2g+bW4hzGhNeRHp0BUjFvwCWDRqL01IiFZ5UoBIIpFKxSyHgCQA2O42EIQmBxKh0ItVVf5dmsZYgCFSse0NlXqwlCEIakd9nKYFAIADYCdxTKJFlLmQtweUEEQlgB8poJH9dIjIX4lRNYWEhjMbq5xYymQy+vr4CKeI0RsQTwOZwOKJAr9cjNjbWYSsOANHR0ejTpw/S0tKQlJSEggIaGdEcmlDJQrUReCjjFdjigkqAzGilsWirltGoTAaRQD2Vz1NOIBjYSuLOWoIgnGEtQCB4D2xOUySAwHMKABQTSVqk0tYpWOHDWoLLoXJHybGVspYgCAWWEtYSOIx5++23sWnTpmr3CQ0NvaNVOUfc8AA2h8NpdKjVaiQlJTn+XW4tnpeXBzuRAEJt8CNQyQoAWTYak1se9BQPVKoaqAR2qdgPUuixC9CpNFdKaHyeXnIacyEDgQXN41YaPVmpEKzwZi1BEPwkNOYIqXYaz2PXTDmsJQiCj8yNtQRBoPJ8LSHgiuVJpDVOko1G0Y5WQSNZiFM106dPx6hRo6rdR6Wi4VLJqRoaKxocDocJAQEBddqnvApbp9Nh9+7drpDmhET/scvHcCXp73ZgLUEQqGROUzlPd4i/iown3IgLKp+nSkpjYYjKtZZKr28KtpkAjQQTM5HeYC1V/qwlCEISkUCghsjiKpXkTCq922VE5kK3rMWsJQiCh1T8iTR5dhpudSVEXPm0MhquO5yqadOmDdq0acNaBqeRI5onYLuNxkSaw2lKBAYG1msfo9GIQYMGudw63K573iXHFQqZ9lfWEgSBSrDBjUhWcSmBBWopEdtMKj2wqQR2lQQsigFALRPNY1C1mIj0wDZYafRlLbaKvwKbynwvnYgLhJrIvZMKEiK/zwwzjepHNwIBTwDwktJIMCmwiX8uFEzE3p9K4vTfxWmsJXA4nCYAjZUbDofT5Ci3EQ8MDERISAjy8vJ47+sqoLLQR4USIguaVhmNhzKOeMg05bOWIAgWG42KXXciltNUMBH53vJ+whwOh+N6vIlYa+dYDKwlCIKVQOI0QMcSngJUHJTUMhrJJRwOp37wADaHw2mU6PV66HQ6JCUlIS4uDjqdDh4eHggPD8fBgwfRtWtX5Obm4uzZs6ylcjgcTqXw5BJxQcG6F6ATwKZSReYlp7GYmWumsQhP5TpEAX+FJ2sJgmAg4BpACSpzWzI9k4l8njLQSP5KMt5iLcHlBLiHsZYgCMUW8VfTA4CUiPMXh8OpH/wJmMPhCMrtldV3orwXdvn/63Q6HDx4EACwf//+BtM0eMzsBjsWC9x+o2EhTgU3brUoGqgsflHBT04j2BCq1LKWIAgpplzWEgShiIi1ttVOo7qKQqW5koi9fzaRpAtuIS4uqMxtqfSf9ZHT6D+rIOJe0tEthLUETgMR6dGctQRBuFaazVoCh8NpAtB4OuRwOI2G24PSNWH//v3o2bOnCxUBuzYtc+nxXc0oDY2FBAmRPrtU+h3JCGT824ks8tmIfGfTiViI+yhoLGZq5DR66FEJNlAI7AI0KrCpfGepBI5KibTG4YgLDyI9k2VEnq/dJDQSaU4WJbGW4HLu9mzJWoIgFBNJoqGSgMrhcOqHeJ6A+TWPw2ny6HQ6GI1GJCYmIjubZ+JxaEIlUH/eJP7fOBW7Oiq0VgewliAIVHrsXi8Vv80iQKf60WyzspYgCBQShjzl3E5STLhLlawlcBqQZhIabSmu2XJYSxAENyK/z2xbEWsJgtDT8y7WElxOmpWGe0mpnca81k1G4xrE4XDqh3gC2BwOp8ljNBqxdOlSxMbGIjExEcHBwYL0uM7JXOvyMVyJLYKGVZRU/Gu2AAAlkT5A/gSqHzMtNB6wqUAlV5LGFYhOoJ5KZYNCSuObS6ECmwpU5nuFRNoYUCHVXsJagiCEKnxYSxCEEjsN9xKLjcZcKNGYwVqCy+mkDmYtQRDOl2ayliAI3jIaSVH1pV27dlW+tm3bNkRERDhtu3HjBj7//HP88ccfyMnJgbe3N9q3b48XX3wRkZGRTvvu2bMHa9euxeXLl2EwGBAUFIS+ffti+vTpCAuruue8zWbDxIkTcerUKdxzzz1Ys2ZNpfudO3cOX3zxBY4dO4b8/HxotVp07NgRCxYsqPb4lXH69Gls3boViYmJSExMRFFREZ5//nnMmjWryvdcuHABH330EY4dOwaz2YyIiAjMnDkTAwcOrPG4GzduhE6nq/S1jh07YuPGjbU6D07t4U/AHA6n1pRXSgNAZmb9JlblPbH/jc1mQ0hICLRabYP2u66MiU8ddunxXY2bZAxrCYIgJWA5DQBmImGyIisNWywKUMmcTjbRqMahEvCkEsCmcp5UArsqAhX1VFqpcDicxku2tZi1BEFQS2jcO92JWIgHqggkiBP5bbZW+bOWIAhJplzWEpoMPXv2xPjx4ytsDwlxLmg6ePAgnnnmGQQGBmLChAkIDg5Gfn4+zp07h6ysLKd9165di3feeQcdO3bE9OnT4eHhgcTERKxfvx4///wztm3bhoCAyl3o1q5di7///rtazdu3b8fcuXPRvn17TJ06Fb6+vsjJycGZM2eQn59f6wD2vn37EBcXh7vuugsdO3bE4cPVr+VfuHABkyZNglKpxLRp06DVarF161bMnj0ber0eY8eOrdX4Tz/9NFq1auW0TaPR1OoYnLpBY7bC4XAalPJKaQC16mddGbf3xC4PhicmJqK0tBRGoxFqtRrt2rVDeHg4du/eXT/hIoXKQp+NRvwaRUT6HSkI2GtTSbowWEtZSxAEX7knawmCQKUfYraZhkOCmog9aBGRKk8K/YTlRCqTORxO4yWHzByBRmBXTsSlxV/mzlqCyzGAxlpJsjmftQRBoJCY2VA0b94cUVFR1e6Tm5uL2NhYdO7cGV9++SVUKlW1+69cuRJBQUGIj4932jc8PByLFy/Grl27EB0dXeF9N2/exMcff4zY2Fi88847lR772rVrmD9/PkaMGIHFixdDKq3/+t+kSZPwxBNPwMPDA4cOHcLjjz9e7f5vvvkmSkpK8PXXX6NTp04AgHHjxmH8+PHQ6/UYPHgwPD1rvsbTt29f9OnTp17nwKkboglgEykW4XBETXk2mM1mg9lsRmZmJgIDAxEeHo6DBw+if//+OHXqFOx2OwoLCxts3AdX92uwY7Hgr7toZGdSgUrQM90k/ocyjUL8WfCUyCFiCe8uq/5BVyzYQSP5q9BCw+41SOnNWoIgFBAJ1FOASuVjDpE+nhxx0VpdecWZ2Egx5bGWIAgeRJL5NAQqzTOIuNW1UGhYSxAEOZG1r4bCbDajtLS0yqDrunXrkJOTg1deeQUqlQqlpaWQSCRQKiu/BhYWFiIsLKxCoDsoKAhAmWNqZSxYsABt2rTBlClTqgxgr1y5ElarFa+88gqkUilKSkogk8mq1FIT/P1rvvadnJyMo0ePonfv3o7gNQAoFApMmTIFOp0OCQkJd0wK+DdFRUVQKBT1Og9O7aHx1MThcJocdrsdgYGBAMqqtGNiYpCbm4vi4mJIiFSH1RQrkUm8zC7+il2AzgO2TCn+3nJGIn3lqEDFiplXP4oLKZE5U46liLUEQVASCHpSaWPgLaWRLJTF7ymcJohGQuP3CaWGtQJByCSShJplF78rloyAixsAXDfTsNYOltNIQB0wYEC1ryckJNzxGL/88gu2bt0Kq9UKLy8vPPDAA3jhhRecbLj37dsHDw8PGI1GjBs3DmfOnAEAREREYM6cORgyZIjTMfv3749ffvkFixcvxrhx4+Dp6Ynz589jyZIlaNeuHYYNG1ZBxw8//ICjR49iw4YN1VZV//bbb2jVqhVOnTqF999/H1euXIFUKkXnzp3x4osvuryS+fTp0wCA7t27V3itW7duAIAzZ87UKoA9a9YsGAxl95MWLVrg0UcfxbRp0yCXi//5jDX8L8zhcBoNUqkUsbGxKC0thVKpdPTH1ul0OHv2rMvG3TvtgMuOLQTt5NXbpoiFZCuNB08qFuIynm0rGqgEyEqI9G3PN9MIBHrJxW+zCNCpNKfy+zRJxJ8Y5afwYi1BEDKtNK617kQSMzni4oQxhbUETgNCxV3obHEqawkup7nKl7UEQSgm0qLrqjXrzjuJgGDUrxVZZGQkhgwZgrvuugsmkwnHjh3Djz/+iP379+O7775D69atAQBXrlyBzWbDE088gYceegjTp0/HrVu3sHz5cjz33HN4//33MWrUKMdx33jjDdhsNnz99ddYvXq1Y/vgwYOxePFiuLm5OenIyMjAe++9h2nTpqF9+/ZV6i0sLERWVhbMZjPmzJmDCRMmIDY2FtevX8fnn3+OJ554AqtXr0bv3r3r9XepjvT0dAD/VJPfTnBwsNM+d0KtVuPhhx9G3759ERAQgIyMDGzZsgVLlizBsWPH8NlnnzWIRTqnangAm8PhNBo6dOiApUuXYvDgwQD+6Y9tNBoxaNAgpKWluSSQvWvTsgY/ppBEaRvOTp3DEQozEecACoQSsTi7aaeRCe8pq9wqTGyYiDgkUOktZ7LR+DwpQKHPNwDk24pZSxAEKj12qUCl1ZGfvH7BhqZCvpVGmxEqFFFoG0MjF4EMxRYarXESEg7V6/0bNmxw+veIESPwwAMPYObMmXjnnXewcuVKAGX21larFSNGjMAHH3zg2P+ee+7ByJEjsWTJEowcOdLhaqpUKhEWFoZevXphxIgR0Gg0OH78OL755hu88MILWLZsmZNV9sKFC6HVajFnzpxq9RYVlSVp5uXl4amnnsKLL77oeC0yMhIxMTH48MMPsW7dunr9XaqjpKTseliZ1Xe5ZXr5Pndi2LBhFarRJ0yYgJdeegk7duzAzp07MXz48Hoq5lQHD2BzOJwmgdFodPTIbmgGj5ntkuMKhcdvd7ab4XAaGxR6P1qIBOlTzHmsJQgClQrPXCIZ/34qGpZ1Ft5/lsNplAQQqTQv5H3bRYWNiKuHn4yGS0sakR7YSqn4nzsBoK1HCGsJnAaCSmC3hVsAawlNlvvvvx9dunTBwYMHUVpaCpVKBZVKheLiYowdO9Zp31atWqFbt244cuQIrl69itatW8Nms+HJJ59EVlYWduzY4eh3PWjQIISHh2PhwoX48ccfER0dDQDYsWMH9uzZg9WrV1fZG7uc23tq/1vLPffcg2bNmuHUqVMoKSmpUOXdUJQf12SquIZTWlrqtI/VakVOTo7TPgqFAhqNpsrjSyQSzJ49Gzt27MDevXt5ANvFiOcuTmONmMMhSWJiIvz8/BAREYEdO3ZAp9Nh9+7drGU1GqgsJFDJ+KcChf7QdjuN3yYVWhJ5wKbyvaXSM9nKH5I4nEZJlpmGgxKvwOY0RdIsNH6fVFxaqEBhbhsgp5H85SF3TVCvsZFamsdaQpMmLCwMp06dQl5eHoKCghASEoIrV64gIKDiukX5tvz8fADAsWPHcOLECUyePLlCQHro0KFYuHAhDh06hOjoaJhMJrz11lvo168fQkNDcePGDaf9jUYjbty4AQ8PD/j7+0Oj0cDd3R3FxcVVaklNTUVBQYHLAtjlNuEZGRkVXiu3Di/fJy0trUKf8t69e+Obb76pdozmzZsDQIXgN6fhEU8Am8PhiBK1Wo2SkhIEBgYCAHQ6HQ4ePAigzAqksmyq2tL0LcRZK+A0JFQC9RQqsAvtNCpZqUClSsWNSL9SKhbiGrkHawmCYLTSsJ2WS2SsJbgcXyLfWTMRd4Q8Cw2rdI64KCRirU0lgC0Djd6kWcZ81hJcjp8nDXt/EnbwALwUNNwuXMX169ehUCig1ZYtCnfp0gVXrlxBWloaIiIinPZNS0sDAPj7+wP4J7BrtVacj5ZvK/+v0WhETk4ODhw44Gj5eTsnTpzA4MGDMWzYMCxduhQSiQSdOnXCoUOHkJ6e7ujRfbsWuVxebYVzfenUqZND2785efKk0z4BAQFOPcABwNv7zm5t165dA/DP35TjOsS/eszhcJo0er0egwcPhlqtRlJSEgIDA9GsWTPExcVBp9MhMTERycnJrGUyhUrAkyMuKFRgc8QFlQAZFat0HzmNBZMSG43PkyMeKFSQAYCRSK9vBYGkC474UBJItAWAUiLXIaWMxuepUdII7lLAXV69RbNYyDHRcLuoD7m5uY4A9e1s374d586dw4MPPujo8zxmzBhs3LgR8fHxuO+++xy9rs+dO4eTJ0+iVatWCA8PBwC0adMGAPDrr7/ixRdfdArYbty4EUBZQBwos9r++OOPK9X3/PPPIyIiArNnz0ZIyD9tDMaMGYNDhw4hLi4O//3vfx3bf/31V2RmZqJ///5OVuMNTfPmzdG9e3ccPnwYZ8+eRWRkJADAYrHgm2++gZeXFx566CEAZZbnffv2rfJYlX0GFosFH374IQBg4MCBLjoLTjk07uIcDqfJ8W+bEb1ej9jYWABAYGAgdDodTpw4gezs7HqP1dR7YLv99itrCYJAJVBPxRJeSWBBk0p1FRXsRH6bViLfWyoV2FSqjoKVPqwlCEI+kapACvAe2BxO48Vd5rpF9caEzEZjjkDhuRMAwlV+rCW4HAuR55QwpS9rCYLgIaMRqK8Py5cvx/Hjx3H33XcjJCQEZrMZx48fx65duxAQEIBXX33VsW/v3r0xbtw4rF+/Hk8++SQGDBiA7OxsfPvtt5DL5Xj99dcd+7Zv3x5Dhw7Fzz//jNGjR2P8+PHw8fHB8ePHsW3bNoSHh2PixIkAyvpBDx06tEqNfn5+FV6PiorCtm3bEBcXh1u3bqFPnz64efMmvv32W3h5eeGVV16p9d8iJSUFW7ZsAQBHIduRI0fw2WefAQB69eqFXr16OfZfsGABJk+ejCeffBIxMTHQarXYsmULzp07h7fffhteXjWbi48cORI9evRAREQEAgMDkZGRgZ9++glXrlzB8OHDMWjQoFqfC6d2iCaAbeft3TgcQaisf4Urxii3DL+d8irs8PBwpKWlwc/PD8HBwUhKSkJBQUGdx2vqFuJjtDQCuxxxYeU3bk4TQykVzbS5Wsw2fk8RE1SutVQs/mUS8QcbFDIagQYOh9N44Umo4oJKexyDTfztqyi0IQOAS8WprCUIgkpG47dZH/r06YOrV69i27ZtyM3Nhd1uR2hoKGJiYjBjxgz4+TknrixatAgRERFYv349Fi9eDJVKhR49emD27Nno3Lmz075LlixB165dsXXrVixfvhxWqxWBgYGIjo7G7Nmza2SjXRVSqRTLly/HihUrsHXrViQkJMDDwwMDBw7Ec889h5YtW9b6mMnJyRUqwf/880/8+eefAIA5c+Y4BbA7duyI+Ph4LF26FCtXroTZbEZERAQ++eSTSq3Qq2LkyJE4fPgwDh48CIPBADc3N7Rr1w56vR5jxoxxVLpzXAeNKz+Hw2kwKgssu3qM8qB5eRW2Xq8HAIeFeH2C1wCvwOY0LqhUYLsR6LlWQsRymgo2O43fpoVIZbKfvKIVmxgpJmIhTiVQTyWRhgK8MpnDabxQSBYCgFyzgbUEQZATqcCm8L0NlNFoAXSVtQCBoPLbrA8DBgzAgAEDary/TCbD1KlTMXXq1Dvuq1AoMG3aNEybNq3O+i5evFjlayqVCnPmzMGcOXPqfPzb6dOnT7XjVUb79u3xxRdf1GvcefPm1ev9nPrDn4A5HE6j5/aAdmJiIoYOHQqbzQaz2QyDof4PXbt7R9T7GCwZ/VskawmcBoSKVfoNY/3t/xs7WgWNPmShCg1rCYJw0ZLOWoIgyIlUNtyy0Fi0pWLNRyWAbbKJP8EkXE3DNlNBxN6/gEBFICWaSdxYSxCELEkRawmCoFF4sJYgCFbQmCNQaBuTaS1mLUEQJASSEQDAk8hzCofDqR80Vqg4HI5oCA4Odvz/pUuXYCdSEVcdVCp2OeKi1EqgKlD8ReYAgBRzHmsJgiAhklwi5RZYoqKIV3lymhjp5vo5KzUVNHIaVWRU+rb3kIu/9ywAXLPTCB4piSTzZVkLWUsQBCo9zTniQUXArQ4ATEScvzhVk5OTA6u1+rYdarW6xv2qOeJEPLMyGgl1HI4oUavViI2NRWZm5h33XbNmDYAy+/CzZ882yPiDDl9qkOOwwg1jWEsQBK2URnZmiY2G7TTvd8ThcDgcDocqVFwDqJBq55XmYsJI5HmMw+E0ToxWGvcUOy/GIc+4ceOQkpJS7T5jxozB4sWLBVLEaYyIJ4DN4XCaDGq1GklJSY5/l/e0jo2NrXL/mJgYpKenw2azIScnRxCdnMZFPhELQioW4nzhltPUCFZpWEvgNCB5Fhr2oFSg0qNewhf6RIPJXn21iVgIkNNop8IRF1SutFSqPKlch1JMeawluBylnIbtPRW4OwLn/fffR2lp9Wu9t7cV5dCEB7A5HI7g6PX6KoPVtzN8+HCYzWXZz64MWjf1Htiz9/dhLUEQblpp9Cu1ELEUCVT6sJbAaSCoBI6oJJeU2AjY+wO4x605awmCUEwkSHbBlMVagiBYCHyenVVBrCUIwhnTnZ2nxECWhUYlq5+SRm9oKhjtNL63VNqxqSBjLUEQQpUa1hJcTqmNhuW0u5yG+yCV52tO1fTo0YO1BE4TgAewORyOy/h3pXVt3yuVSrFr1y7odDqkpaU1mGX4vwlr27QtxLtZRrOWIAgS3pdVVFDo3c4fyMSFp5SG7T2Vb+1NK6/AFhNU+pXKJFLWElzO6dIM1hIEgYpFsZpIhSdHXBgsRtYSBEGjoFHNWgrxJ38BgJrAXKgUNALYxUSuQYFu3qwlcDicJoD4724cDocZNa20ruq9Op0OsbGxyM3NrXMgvCbcHLfMZccWgigtlXADDagEPe1EzpMCzZVa1hIEwUCkMpmKC4Q/kaBKAZH2GxSSogAa7TeCFTQWM7MsNJyFTESq5TjiQimlsVQqh/iTogA6Fdi51hLWEjgNBJUK7ORS3h6Sw+HcGdHMygg8y3M4pNDpdDAajdi/f7/Lxxo8ZrbLx3Al6r27WUsQBCoV2FQW4SmcJ5VkBCoYrDQy4alUBRqtNBISrEQSEigEdgFALhH/IryXhIbbRRKRaxCvwOY0RToSaWVQYKdxHUq25LOWIAitFL6sJbicbGsxawmC0IdIq6PzpmzWEjgcThNANAFsDocjHtRqNdLS0qDVatGuXTuEh4e71EK8qUMlsMsRF+lG8WfbNlP7sZYgCCnmPNYSOA0IhR67AGC206g6khKZI1Cw1gZoVAXS+CSBAIUXawmCUEgk+YsjLoxELKepVOzKiNxZ0iyFrCW4HAWBRD4ASLbScGnxkbmxlsDhcJoA4n8C5nA4TQ69Xu/4/4ceeggXL15kqIbTWKBSzUrlPDmcpgaVfoh2IpWsKiJVgVQqk6mcJ0c8UJnv8cVpcdFMQuPzTLTmsZYgCFTchfzlnqwlCAKFwga7XfwubgDgKaXhRnPdJP6iBg6HU394AJvD4TRqQkJC4ObmhoyMDJeNsWtTU++BzVqBMFCwnKZEsFr8FmcccRGo9GEtgdOAULmnFBFZnKZSgS0hEPQ0E7G9zzAXsJYgCFQsxENkNAJkqXYaFbuFtlLWEgQhWEFjbptjLWItQRBKCbQBCpDTcC9JMuWyliAIuSbxuwZwOJz6I5oANk+653DESXh4OJKTk3H06FFHX+zMzEyEh4dj9+6G6f3c1Htge/yWwFoCh1NrtDJ31hJcTi6RHl1UoNJL+BaRhQQ3GY3KBiqYbBbWEgTBKhH/dUhBxOqVw+E0XuRErkM3Smn0nw1QeLOWIAj5FJ49RRPF4ACAlIglfH0xGAxYsWIFdu3ahZSUFKjVarRo0QKTJ09GVFQUAGDfvn1Yt24dLl68iNzcXEgkEoSGhmLIkCF4/PHH4e1d8TqYkpKCDz/8EH/88QeKi4vRsmVLTJ48GY8++miFfb///nscPXoU58+fx7Vr12C1WrFv3z4EBwdXqvnWrVv46quvsHfvXqSlpcHDwwN33XUXJk6ciFGjRtX6b3Do0CE8/vjjlb6m0Whw6NAhp22ffPIJPv3000r3HzJkCP73v//VWgMAFBcXY8SIEUhJScG4cePw9ttvV9jn6NGj+Oqrr3D+/Hnk5eXB398fPXr0wIwZMxAREVGncanDL/0cDqdRo9frER0dDZ1Oh6SkJMTFxaFnz57cVpzDaeIkFiWzluByQt38WUsQhFCFhrUEQUgnUi3nKVezliAINiIWhFq5B2sJgpBuymMtgcPhcDgiodROIymKinuJ0S7+ymQACFDSCNRTwJ2IhbhcyQPYdyIjIwOPP/44cnNzMWbMGLRp0wYlJSW4fv06UlNTHfv9/fffAICxY8ciMDAQZrMZZ86cwfLly7Fjxw5s2LAB7u7/FJGkp6djwoQJKCwsxNSpUxEWFoaEhAQsWLAAGRkZmDNnjpOOL774Arm5uWjfvj1CQ0ORlJRUpebCwkI8+uijyM7OxqOPPop27drBYDBgy5YtePnll3HlyhXExsbW6e8xYcIE9OjRw2mbSqWqcn+dTget1tm2NDQ0tE5jA8CHH36I3NyqHRJ2796NZ599Fi1atEB0dDR8fX1x9epV/PDDD9i1axd++OEHtGvXrs7jU4UHsDkcjiDodDpkZmbW6b3h4eFISkpCeHg4evbs2cDKOBwOCyhYiFOp3kgx57GWIAhUeuyWWE2sJQgClUB9gZWG3SuHw+FwOA2FOxHrezuRdipKCV/65jQtaPwyAQWvwL4jc+fORVFREbZs2YKQkJAq95s+fTqmT59eYXvr1q2xZMkS7Nq1C6NHj3Zs//DDD5GVlYVPPvkEgwcPBgCMHz8eTz/9NJYvX46oqCg0b97csf/atWsRGhoKqVSKV155pdoA9s8//4yUlBS89tprmDx5smP7pEmTMGjQIHz//fd1DmB37drVUXVeEwYOHIiwsLA6jfVvjh8/jri4OLzyyit45513Kt1n1apVUCgUWLdunVPgvFu3bnj22WexefNmzJs3r0H0UILfxTkcjiAYjUYEBgbW6b16vR6xsbHQ6/XQ6/UA0KCB7KbfA5vG9FZKoO8jQOc8s03ir2blPZPFBZUqFV8FjT6ebkQqG3xlbqwlCMLZ4tQ77yQCJASWNAMlNJJLqEAl+YsjLrykNK5DZiK/TxORinoK7VQClX6sJQjCTSIJ4gUWnmhbHceOHcPBgweh0+kQEhICq9UKo9EID4+aO2yVVxsXFPyz/lZSUoJffvkFYWFhjuB1OdOmTcPevXuxbds2zJo1y7H99mD2nSgsLGtJ9u8YgJubG7y8vGA0Gmt8rMooKSmBRCKBWl2ze7XBYIBKpYJCUffkNJPJhAULFmDgwIEYMGBAlQFsg8EAtVoNHx/ntcCgoCAAZX8DTu0RTQCbyLyLwxE1iYmJiI2Nxf79+yt9nVdfVw6ZhSEiwSMLkT67/T1bsZbgchJNNPrKUbFi9icS2M0nspCgJJLxX0Jk0dZXSeP3WWoTvw1qur1+i1qcxoWKSCUrR1zIiSQU51mKWEsQhEAiPbDvUgawluByjHYrawmC0EtVdaWtmDgmyWAtQRAGDBhQ7esJCQmVbt+3bx+AMlfSZ599Fnv37oXZbEZAQAAee+wxPPXUU5DJnJ9pi4qKUFpaiuLiYpw/fx5LliyBQqHAvffe69jn0qVLMBqN6Nq1a4Uxu3XrBolEgtOnT9fyLP+hb9++kEqlWLJkCZRKJdq3b4/CwkJ8//33uHHjRpXB35rw9ttvQ6fTAQCCg4MxatQozJo1q8rAcFRUFAwGAyQSCSIiIjBlypRKe3zfiWXLliEzMxOrV6+G2Vz181i/fv2watUqzJs3D0888YTDQvy9995DSEgIJk6cWOuxOSIKYHM4nKZPcHAwACAyMhJnz54VbFx306uCjeUK7LiPtQRBsBMJklE5z6tEsoo54qGZzIu1BEEIkNHomZxtLWYtQRCMNhqW8FTunRSwEagyB+gkRRmspawlcBoQKpbTxUSSvwIUNOa2VEiyFLKWwGkgCqXiT1gEgBA5jWuQAXVLEL9y5QoA4NVXX0VYWBjeeustAEB8fDw+/vhjpKWl4c0333R6z5tvvolNmzY5/t22bVt89tlnaN26tWNbeno6gH/W4G9HqVRCq9UiI6PuyQXt27fH+++/j3fffRdPPfWUY7uPjw+WL1+O+++/v9bHlMvleOCBB3DfffchJCQEOTk5+PXXX/Hll1/izz//xLfffusUxPby8sIjjzyCHj16QKvVIiUlBd9//z0WLFiA8+fP4/XXX6/x2BcuXMBXX32FBQsWICgoCMnJyVXu+/zzz6OwsBCbN2/G1q1bHdt79uyJFStWwN/fv9bnzuEBbA6H04hYs2YNADiyqdLT05Gd7foKxqe9mnbmsVIykrUETgPiKVOxliAIFCzOqNjBSyU0zvOaJY+1BEGg8r1tp/BlLUEQ0m00AvU3iFSRyQk4B1CpfJQQOU+OuKDyvS0mkvxFBaOdxudJYY7gLqHh6uEtodHqKLE0k7UEQTiR8Eed3ldUVPZ84+bmhri4OCiVZd+LYcOGYfjw4fjxxx8xbdo0tGr1j7vh9OnTMWrUKOTl5eH48eM4evQo8vLynI5bUlIWUC8/3r9RqVSOfeqKVqtF69atMWLECHTv3h15eXn47rvv8Pzzz+PTTz9Fv379anW8Hj164IsvvnDaNm7cOCxZsgQrVqzAN998g5kzZzpei4mJqXCMSZMmYcqUKfjuu+8QFRVVaQX6v7FYLJg/fz46d+5co+ppuVyOkJAQdOnSBcOGDUNQUBAuXLiAVatW4amnnsKqVasq2Itz7gwPYHM4nEaBTqeD0WhEbm4utFqtYMFrAAjI6CPIOK7C2KYlawmCkEwko7iIyIKJWir+KYjFRsPijIqFeJ6ZRoDMQsSaj4IVMwAUEal+9CdSRVZCYI5wjYhDyzBFKGsJgnBNTsMS3kxkLhRCpEe9XU7j8ywiMhcKktJwF6LS05wCZ0vTWUsQhPvU4awlNGrKezyPHDnSKdisVCoxcuRILFu2DIcOHXIKYLdp0wZt2rQBUBbo/uWXX/Dcc89BJpNh+PDhAP7pw2wyVf5cUVpaCq1WW2fd+/btw9NPP43//ve/mDRpkmP7iBEjMGLECMyfPx8JCQn16kldzqxZs7By5Urs3bvXKYBdGXK5HM888wxmzJiBvXv3OgLYOTk5sFqd10ACAspaMqxatQqXLl3C5s2bIalB4cbLL7+M/fv3Y+fOnY5jDBw4EJ07d8aMGTPwxRdfYO7cuXU4U9qIf/WYw+E0asoD1ydPnkTXrl2Rnp4uqH04AGQFHRJ0vIZG6kWjh0ZNJgtiQEEgcxoAZBB/T3Mpkb7tVCqwi600FvlKLDQCnkoCSTQA4EvEpthop/H7NBIINnjJafw2/66jnWRTQwsa1XJqInO+a3Yarh6JRhp9WalU1Icq6x6IaUrICDyTUVhDAOj8NveWXGctoVFTbvFdHgi9nfJt+fn51R5j8ODB8PDwwLp16xwB7PLjlluJ347JZEJubi66dOlSZ90rV66EzWbD0KFDnba7ubnhgQcewLfffovr16+jbdu2dR6jHHd3d/j5+SEnJ6dG+4eFhQGA0/7jxo1DSkqK034XL15EZmYmPv30U4waNQoKhQI3btwAAIe9usFgwI0bN+Dt7Q2tVovU1FT89NNPePDBByt8Zvfddx88PDxw6FDTjj+wQjxPh3YaF3cOR2wYjUYsXboU0dHRUKvVglVd387ZYU17MdDtNwNrCZwGhErvRzORKk+OeJARWZz2VLjdeSdOkyGPiLU2hbYUAI3rkJnIZyknEGgAgCw7jaSoSNCo8KSCh4xGpTmFewoA5FhpzIWUEvEs8VeFmsA5AnQcscKUNFo61ZWuXbsiPj4eaWlpFV4rDz77+flVewyr1Qqz2ewU6I6IiIBKpcLJkycr7H/y5EnY7XZ07ty5zrrLA7w2W0VXCIvF4tDVEBgMBmRnZ6NFixY12v/69esA4NSL+v3330dpacX56q1bt1BaWooNGzZgw4YNFV7/+eef8fPPP2PGjBn4z3/+4zjvys7NbrfDZrM12HlTg8aVn8PhNHrCw8Nx8OBB9O/fH7m5uYJXYXM4jQUPKY1+RxeLU1lLcDkhKhoPZFQsxKlU7HrL3VlLEIRCC43qRzuRpCg/IhbiBisNO2YKuIGG444fkT6eUl5QISpaKDSsJQhCKpEWXcFyb9YSBCFYKv4k1HQbjfk7hX7mAFBMoDVOfRgwYAC8vb2xZcsWPPPMM/D0LHPWKioqwqZNm6BQKBy9pLOysiqt1I6Pj4fJZHLq9+zm5obBgwdj27Zt2LVrFwYPHux4bdWqVZDL5RgxYkSddbdt2xbXr1/Hxo0bMWPGDMf2goICJCQkwNPT08n2vCaUtxu9Hbvdjvfeew92ux0DBw50bLdYLCgpKYGXl/PzYUlJCT755BMAZX/bcnr06FHpmGFhYfj4448rbM/JycEbb7yBe+65BxMnTnScS8uWLSGXy3H06FHcvHkTzZs3d7xn586dKCkpqVdiAGVorMRxOJxGj16vR3R0NJYuXQqdTgetVov9+/cLMvauTcsEGcdVRNFwxCJDoY1GpUortyDWElyOgchnSQU/OQ0r5lsWGq4egQoai5lGO41qVm8pjWo5K8Tf39JOJCmqkMhvMx00ki7S+dKaqDhbUrHaTYz4EElaLCVyvU2xib/SXEHEQpxKBTYF2/v64OXlhVdffRXz5s3DuHHjMG7cOEgkEmzYsAEZGRmIjY1FSEgIgLL+0t26dUNkZCSCgoKQn5+Pw4cPY9++fQgNDcWcOXOcjv3iiy/ir7/+wty5c3Hu3DmEhYUhISEBe/fuxaxZsxAe7tyffM+ePbhw4QKAMnttAPj6668dQfUpU6Y4AsZPPfUU9u/fjw8++ACXLl1C9+7dkZ+fjx9++AFZWVlYsGCBU0/vmjB9+nT4+/sjMjISwcHByMnJQUJCAk6dOoVevXohOjrasW9xcTEeeughPPTQQ2jdujV8fX2RkpKCTZs2IT09HTNmzEBkZGSN/v7/tkEHgOTkZABAaGio0+sajQZTp07FypUrMX78eEycOBHBwcFITEzE+vXrodFonAL6nJrDZ9kcDqfREB4ejtjYWEc/bKEYPGa2YGO5ArfffmUtgcPhVAKVHl1UyLPS6PtotYs/QAYAWWYaVUdUKrCpPNVSsEpXEKk68iRig1pEJHDEERdUXHdMRH6fuUTm8D4y8VdgK4jY3lPBX0YjiaY+jB49GlqtFitWrMCyZctgs9kQERGBDz/80NHTGgAef/xx/Pnnn4iPj0deXh6USiVatGiBWbNmISYmBj4+Pk7HbdasGdatW4elS5di3bp1KC4uxl133YVFixZhwoQJFXTs2rULmzZtctq2cuVKx/+PGjXKEcDu1KkTvv/+e3z++ef466+/sGPHDqjVanTs2BE6nQ6DBg2q9d9hyJAh2Lt3L+Lj41FQUACFQoHWrVtDp9MhOjoaCoXCsa9arcbQoUNx+vRp/PbbbzAYDPDy8kJkZCRee+01p2rthubll19Gq1atsH79eqxZswYmkwl+fn4YMWIEZs+e7VSVzak5opmVEVlr43BEjV6vBwBHP+z+/fsLUoX94Op+Lh/Dldxs05K1BEFIJmJxRqXyyEKgioxK5jQVQojYSVJZGLpizGItQRDUUsWdd+I0GSgkJFCxzWxmp/HbTLfTsHsFLyITFd4EAoEAYCbyrEKl13eoTPxuUXlEHM6oOEVZiax91Zf7778f999/f7X7zJ49G7Nn1644q3nz5vjwww9rtO/ixYuxePHiGh+7ffv2+Oijj2qlpzpmzpyJmTNn1mhfpVKJt956q8HG/jdhYWGOKvR/I5FIHNXynIZDNAFsDocjHsLDw5GUlITw8HBERkbi0qVLsFqtsFppPGDVFiqBXQkReyEqPbCTSm+xluBytArxLyJQIsWUy1qCILjLVKwlCAKVxUwq51lgoVFdReHzDCLSruG4vYC1BEHwkNAI1FMhREKjXUMyaPw+KVTsAnSSiovsZtYSXI6BSM/kHIv47eABwF/FK7A5HM6d4QFsDofT6NDr9YiNjcWJEydgMpmgUqlQWOi6IO3eaQdcdmwhcJOMYS1BEKREShtsNE6TBCoi9qBGCY2FBLONxuJXtonGom2g0ufOO4kANyIV2G5Ekr+MBBanvSQ0Pks3IpXmt+w0quXaSDxYSxCEa3YayUJeUhrJfFSstamsI3SQa1lLcDlWKY2KXV8VjeSSHCsRlxZOpRQWFsJoNFa7j0wmg6+vr0CKOI0VGiurHA6nUaLT6ZCZmVnpa2q1GiUlJejbty+MRiNyc8sq37RarSC24k0JKpbTPLArLkw28S/CU7HlsxG5BlHpDe0moxE8Mlirf1gWCxQqdgGghEhFDgXMBFqMAEAmkcARlWS+VNAI1FPBk0hSFJVnFQrtNwBAQSBQbyHyWdqI/DaVRJL5OJXz9ttvV+ir/W9CQ0OxZ88egRRxGis0niY4HI6gBAQE1Gg/o9GIwMDASl/T6/WIjo52/Fur1SIxMRGpqakNovF21n3Ru8GPKSTT2oWyliAIVDKnjQQCuwAQpBJ/hriNyAO2lIi9P5XzNFppXIPUMhqVyT4yGnavVK63xVbxB8mumMTfYgQA/IhYpSuIJNFwxMWV0mzWEgRBKaWxJOxGpJXBYXPlxSFiIlBGw+3igjGDtQRBKLLwCmzKTJ8+HaNGjap2H5WKhiMKp3pEM1ux89I8DqfRUFVQui7HMRqNUKvVMBqNCA4ORlJSUoMc+3Z8A6c2+DEFRfsrawWCQGVx2krkPDmcpoYnkUCgVUqj+tFkt7CWIAhZFgNrCYIQLPdmLUEQkggEsDkcDoc1PLArLrREen1nE3H2oICPnEZv6GIijlicymnTpg3atGnDWganCUBjVsbhcJokarUaBw8eRLNmzRAXFwcAePDBB+Ht7Q25XI6cnJwGGUei/7hBjsMK+7v/x1qCIEiIVD96Eum5lliUzFqCywlW0+jVQ8VCPJ/IopCEiNuFh4zGtbbESsNaO82ez1qCIJQScGkJVtHoT+9BpD89h9MUkROxtS2xi/+eAgAlFhrnOUQZxlqCy0kh0q7hbyKB3TC1P2sJHA6nCcAD2BwOp9Gi1+sxePBgp4ruZs2aIS0tjaGqxgeVwC4Vion08ZQTqWygABVrbRWRYEOhhUagnkqvbyp9H6VEbIopBFVuEXENABELcTL9LWlMhciQZy5iLUEQLET67PopvFhLEITjtjzWElyODDTme1SstRVU5ggcDqde8NVjDofTqAkICMClS5fQs2dP1lIaLVR6Q1OBilV6W7dg1hJcTi6Ril0qUOg9CwBKIoF6Kou2VCrqbXYa1vcUvrdtleKfHwCAm4TGUgyVJBozETeaZhIaVsxyt2asJQjCFXMuawmCICOS5JZtEX/iRTdlw7QrbOykKWm0xkkzNoyrJofDETeieWoismbB4YgGtVqNpKSkO/bLDg8Ph0KhQEZGhsu0hM5e67JjC0HXdxezliAIVAL1ViI3NAWBhQQqARUqFuJ+ShrVGxlGGouZFCpZAcBNRiMhgSMeqCRdmIjMEYqIWBR7EOklnGKnkZyZRsQJgkJSFCXaKfxYS3A5NO6cQAkRVz4tkedrDodTP0QTwOZwOE0LvV6P2NhYx7+HDx8Os9kMs9mMwsJCQbUkex8XdLyGZpSGxkIfFat0KlnFXhB/8ChbIv4s+DJoLE77yzxYSxAErYc7awmCkGrKYy2B04D4ymn8PgsIWEpeMGWxliAIoQoNawmCQCFhkRJUEkzIWN9LabRTcSPiLlQEC2sJLqe9nYYLRLLSl7UEQUg3F7CWwOFwmgA8gM3hcJiiVqsRGxsLg8GAffv2QafTIS0tDVqtFomJicjOzna5hrCC7i4fw5WMbnWQtQRBuGmlkQl/0kxj4bazwp+1BE4DQaUHdoZF2OQqVtiJVNRTgYptZqGNhsU/hd7trZXiryADADWBRD4AcCcSCCzilayiIoeAFTNAx/nLQ6lhLUEQCgjMha7LVKwlCMJlYyZrCYJAJSmqvhgMBqxYsQK7du1CSkoK1Go1WrRogcmTJyMqKsqx3+HDh/HFF1/g1KlTMJlMaNGiBSZMmIDHHnsMUmn1z4TvvvsuVq1aBZlMhvPnz1e6zw8//IBvv/0W169fh7u7O+6991689NJLaNasYtuN+mj5N3a7Hdu2bcO+fftw9uxZZGRkwNPTEy1btsTjjz+OgQMHVih4stls2Lp1K9atW4dr167BZDIhODgYAwcOxLRp0+Dre+ckkbqMu3TpUhw6dAhJSUkoKCiARqNB69atMXnyZAwaNKhW5835Bx7A5nA4TNHr9QCA6OhoxzatVgsAKC0tRf/+/ZGbmwutVov9+/e7REPTr8CmEVShUoFNxSrdRMYAjCMWSqw0rNyoQCWwS6V3u5eMRkUOhWDDNRONfoh+ck/WEgSBSiWrj0T8ySUc8eEpU7OWIAi5VhrW93cptKwluBw7aCTa+shpOGIZbTSc3OpDRkYGHn/8ceTm5mLMmDFo06YNSkpKcP36daSmpjr2++mnn/DSSy9Bq9UiJiYGWq0Wf/75J958801cuXIFr7/+epVjnD59GmvXroW7uztKSyt/dvzoo4+wfPlydO/eHfPnz0dOTg7Wrl2Lw4cPY/369QgKCmoQLZVhMpnw8ssvo127dhgyZAiaN2+O3NxcbNiwAXPmzMGkSZOwcOFCp/csXrwYa9euRZ8+fTB79mwolUqcOHHCkQiwZcsWqNXV3wPrMu6JEyfQtm1bDBo0CD4+PsjLy8POnTsxZ84cPPPMM3jhhRdqde6cMkQTwLbbaSz4czhiJTw8HLGxscjMzERcXByAsqD20qVLHVXZ/fv3d0kQu6lXYHcP381aAqcBUUtEc2uuFvEvwQNWEmdJxwY1iUhQxZvIgkmBhcZiJpUe9WSS3Aicp43I4jSVRXhuIc5pigQrfP6fvfMOjKLO3/+zNZueTSWk0EIAQWrAcqAoEjlCFxRphmYBLHuceit6VlgFJXKCDRAQQ5UOHsgBxxf06BBa6CUhPSSbvtn6+yO/rKzpJDuf7Lw/r38gs7M7z+zszs68y/NmLUEQyonMqC8hMk/Yi0AcgUrHbhCRIrd8i/hH4zSWt956CyUlJdi2bRtCQ0OrXcdsNuPjjz+GUqnE+vXrERERAaAipv7Pf/4Ta9aswdChQ9GzZ9XYt8lkwpw5c/DEE0+gsLAQJ0+erLLOzZs38f3336Nz585YvXo15PKKc02/fv0wZswYfPnll/bmtMZoqQmZTIZVq1bh4Ycfdlg+YcIEjBw5EmvXrsX48ePRvn17AEBZWRnWrFmDBx98EKtWrbLfJ44dOxbe3t5YvXo1jhw5gv79+zfpdgHgxx9/rPI68fHxGDVqFH744QfMmDEDSiUvemwo4v9143A4LkHlj51Wq7VXaN28eRMxMTFO3/ZM65tO34Yz+Q00rBalNOJ8ZG6wVRB/QJOKFXOqMZ+1BEHwIGJZZyDSaU4lsetJ5HNrsop/7iMAGAnsp1xGo2M3WEqjWKiESIKMSE6FDP5SGr+dt8wG1hIEgco9GYXRFGYixV93ibgG+BBxgbhfTp48iSNHjkCr1SI0NBQWiwUGgwGenp4O6125cgV5eXno27evPWFcyciRI7F+/Xps2rSp2qTxd999h/T0dCxbtgx///vfq9Wxc+dOWCwWTJw40Z68BoAHH3wQvXv3xu7du/Hhhx9CqVQ2SktNyOXyKklkAPDw8ED//v2xcuVKXLlyxZ5INhgMMJlMCAwMrFLkHBwcDAB1dl/fz3Zre52QkBBcvnwZ5eXl9UpgL168uM51qkMikWDmzJn39dzmDE9gczicZoVOp4NWq8XevcJ1FR+YfFiwbTkDd8lI1hI4TQiVLjIKyInYZgI0gtNFZhoV4lSstVVSBWsJgkClm5WKE4RKWfe8NleHioV4awmNoO1FiL/ogiM+Cmw0ivmoOH/5yWmcbw2wsJbgdOQEiuABQG8qYS1BEKicgwYMGFDr4/v27at2+cGDBwFUOJa++uqrOHDgAEwmE4KCgjBu3Di89NJLkMlkMBorfrPc3auOVKpclpSUVOWxq1ev4ttvv4VWq3WwAP8zlc/t0aNHlcd69OiBY8eO4erVq+jcufN9a7lfsrKyAAABAX80dqnVanTu3BkHDx7E999/j9jYWCgUCpw+fRrLly9H37590adPnybf7r3k5eXZ/929ezcOHTqEmJgYeHt71+v1eQLbERpnCg6H0yxRqVSCdFiLnQgZDXuhVEsxawmC8LCi5gtHMXHanMtagtOhYiHOERdUEthUErsWq/iDmQCgJ2JBaCDQzaqQ0ghR6AkkGjgcV4WKrS2V4kwqs74DpFUTRmIjz0bjMxvtTiMmlGumkahX3Kc7wvXr1wEAc+bMQXh4OD755BMAwNq1a7Fo0SJkZGTg448/Rtu2bSGTyXDmzBkYDAaH7uIjR44AgMO8bACwWq2YM2cOunTpgueff75WHZXJ2hYtWlR5rDLxnZmZic6dO9+XlvvlwoUL2Lt3L1q1aoVevXo5PPavf/0LWq0WX3zxBb744gv78vHjx+Odd96BVHr/MY/atlvJI488Yv+/QqFAbGxsg2Z/V2dFThkad4ccDqfZ0q9fPwBwymzr+vLEir7Mtt0U/NaahoW4Wib+GzKAxmxogIZVOpUZXVSg0lFfRsRC3E/hWfdKIsCLiA2q2Ubj17O1Qs1agtO5brzLWoIgnDRls5YgCFTs/Tsqg1hL4DQhvRXBrCUIgklBo5gv00oj6UmheJqKvX+OlYa9f5RC/M5CAPDTvs339bySkooEv7u7OxITE+3W04MHD0ZcXBw2btyIyZMno23bthg9ejTWr1+PWbNm4bXXXoNarcb//vc/fPXVV5DL5TAYHD9TP/74Iy5evIgtW7bUmcwtK6s4h1Znfe3mVvGdrHx9Hx+fBmu5H7KzszFr1ixIpVIsWLAACoWju5q7uzsiIyPh6emJQYMGQaVS4fDhw1i7di3Ky8sxd+5cp2y3khUrVsBisSAzMxO7du2C0WhESUlJjR3bf6axHeJiQzQJbCIxCw7H5dFqtfYfq/z8fJw/fx4A4O/vb7fYEJqPPc4z2W5T8VRwf9YSBKHQWs5agiAUymjY2obI62ed48pkm2m4BkQoxZ9QAWgUXQBAjqmItQRBeFBJIzhtI9JpXkSgMxkAIiTiL+a7zlqAQPhJaXQEWmmYenBExmVLIWsJgtBS5sFagiDoiSQDpQSKpwOJfGavG3JYSxCEEKUPawnNmsru5aFDhzokj5VKJYYOHYolS5bg6NGjaNu2Ld59913I5XJs2LDB3iDm5eVl70K2WP5w/klNTcWXX36JqVOn1jm/GfjD+ttoNFaZHV1eXu6gFUCDtNwPOTk5iI+PR05ODr788kt069bN4fHS0lI899xzCAwMxNq1a+1jGgcNGgQ/Pz8sXboUsbGxePzxx2E0GlFQUODwfJVKVa3Vd13bvZdHH33U/v8xY8bg5Zdfxrhx4/DLL7/Ax4d/7huKaBLYHA7HNTAYDEhISHBYFhcXB5OJXeCx73N6ZttuCtz/y2dgi4krpnzWEgRBRuAGmwppJj1rCYJgIVItabbRsLU9WpbKWoIgUHEOaKHwZS1BEK5LxF8YRSEADwC9ZDSKv9JAowDVZKNRLNSSQBENAMilNM5DVEZ0USGYQHK31EbD1cNgofHbmWWkUSx0v1RadgcFVXV5qVxWmXxVKpX45z//ib/97W+4evUqJBIJOnbsCIvFgnfffRfdu3e3P3fevHnw9PREXFwcbt++bV9e2Wx2+/ZtyGQyhIeHA6iwCb9y5QoyMzPRunVrBx3V2Ys3REtDycrKwgsvvIC0tDT861//wpNPPlllnV9//RWpqakYN26cPXldyaBBg7B06VIcOXIEjz/+OE6fPo1JkyY5rDNy5Eh8+umnDd5ubYwYMQIHDhzAf/7zH4waNapBz+XwBDaHw2kGREdHOyS1NRoNEhISoNVqcfToUcjlchQWFsJsds7F6t4+0U55XaEY9t/OrCUIgppIp0qZlUYXmd5SylqC01FJq1oscVwXKglsKnMCjUQCYFQKEpREEvVU9pMCt200OgJLQONc60EktJZOZP4slbEUnhIazl9G0LgWovCppVLk5kNk1JEvkTGB90v37t2xdu1aZGRkVHksMzMTAKpYUnt5eaFHjx72v3fv3g2bzYbHH3/cviw9PR25ubkYOnRotduNjY1FYGAgfvvtNwBA165dcejQIZw5c6ZKAvv06dPw8PBAVFRUldepj5aGkJmZiRdeeAEZGRlYsmQJHnvssWrXq0yqV9fpXbms8t+OHTtixYoVDusEBzs6tdV3u7VRWRxQWFi/oo2OHTtWSb7XB4lEgosXLzb4ec0dGlfZHA6nWVJpJ56dnV3lb61Wi5SUFERGRkKtVjvYjTc1A49dccrrCoUnaFRvFRCxEFdJaPw0Z5jFH7hVVTMjiOO6KKU0vptU8JDRmKFXTqQoqpxIQQIVS3gKZBOZyUqm6IJGToUMVLo8qUClmC/bUsJagtPxIjID22ilcQ7KsOhZS2jWDBgwAD4+Pti2bRteeeUVeHl5AaiYjb1lyxYoFAr07du3xufn5+cjISEB/v7+GDt2rH3522+/XW0i9auvvsKNGzeQkJBgn20NAEOGDMG3336LH3/8EUOGDIFcXhEXOXfuHI4fP46RI0c6rN8QLfUlIyMDkyZNQk5ODr799lsHi+4/U5lM37FjB+Lj4x3mVG/eXDGPvNL+29fXt9bXash2CwoK4O7uXmVWuNFoxNq1awGg3t3nvXv3rtd6VBBNJM5m5XcMHI6rUWknrtFo7AnrxMREaLVaHDlyBG5ubsjNzXW6Dt6B7RpQqbY1EAmYBPJ5RxwXg0ogwWSlEeRTyWh0HckkNAbQuhEp/lIRSAa2VwbUvZII8CHT+UihJ5BbiIuNcCJdgVetRawlCIKnlMb5lkIcQU4kJhTh5s9agiDcJDLr+37x9vbGnDlz8Pbbb2P06NEYPXo0JBIJNm3ahKysLGg0GoSGhgIAdu7ciS1btqBPnz4ICAjAnTt38PPPP6OkpATffPMN1Oo/RtfUlIRNTEzEzZs3MWjQIIflbdu2xbRp0/Ddd99h4sSJGD58OPLz87Fy5UoEBgbijTfecFi/IVrqQ3FxMSZOnIjU1FSMGTMGOTk52LZtm8M6PXv2REREBACgf//+6N69O86cOYNnnnkGw4YNg7u7Ow4dOoQDBw6gW7duePrpp5t8u8ePH8d7772H2NhYtGrVCl5eXkhPT8eOHTtw584dPPfcc/VOYK9evbpe61GBxp0+h8Np9hgMBgebjqKiIhQVCXNDNe+V4LpXasaYP6ORbJCBRhCeik0x7yITD25EgkKeRKy1Syzid0cAgAC5F2sJglBE5HgaiXRXtZWK/3N7w0pjJquZyHVQtISGDept0DjXUrl+TyVilW4lcjyp3F97S8Tv/kUhSQ8AqeV5rCUIQkf3UNYSmj0jRoyAWq3G0qVLsWTJElitVkRHR2PhwoWIi4uzr9e6dWtYrVasWrUKhYWFUKvV6NevH15++WW0atWq0To0Gg1atmyJxMREzJ07Fx4eHvjLX/6Cv/3tbwgJCXFYt6m16PV6pKamAgA2btyIjRs3VllHp9PZE8kymQwrVqzA0qVL8euvv2LRokWw2WwIDw/Hyy+/jJdeesneRd6U242OjsaAAQNw4sQJ7Nq1C6WlpfD19cUDDzyA2bNnY/DgwQ3ed04FPIHN4XCYo1Kp7Hbh8fHxrOW4HBIiVagccaEi0HlExdI2QObBWoIg5BKw5QPoFCRkm+o3f8rVoXI8KXQmA0CarZS1BKeTZtKzliAIVOY+FkqMrCUIQjeZH2sJgnDDRuNaiEa6Eyi20BjR5UOkCJXCtRAFm3QA6OEexlqCIHgScVBqLI8//nidc6O7dOlSZZZzQ6mt61cikWDs2LH1sv9uCi33Eh4ejsuXLzfoOR4eHnj99dfx+uuvC7bdyMhIfPLJJ/e9vfpSWlqKW7duobS0FDExMU7fXnOAnyk4HA5zdDodNBoNACAzM1MQ23AOh8MWXnbBcTWURG6wc4w0ErstlL6sJQgCjd4qOskGjniYbAupeyURsENGw6I43UYjEUiFIAmNObse9ehAEwN3rTQ66nMI7KcPkRnY/yu+wVqCIHT1jGAtgcNxGTIzMzF37lwcOHAAFosFEokEFy9eBACcOHEC//znP/H+++/joYceYqy06RHN1QqRkUMcjmhRqVTIyMhgkrw+MPmw4NtsStwlI1lLEAQqM7CpVIhfK8tiLcHpUJnzTaVbzkrkYtNdJn77QQC4a6ZhU9zGLZC1BEHQW8QftAWAELn47Zg7KGl8ZucbrrGWIAgKi/g7AgGgsxuNggQqzl+pVhpdngoiI7qo2E5nlOtZS3A6oUo/1hIE4THvKNYSBOH3klusJXAYkpeXB4ul9jFQKpUK3t7eAilqvmRnZ2PMmDG4e/cunnzySdy9exdnzpyxP96tWzfcvXsXv/zyC09gczgcjrPQ6XT2/48fPx6JiYnQarXYu3cvQ1UcjvCUWGlYLVqIzCvliAcq8/PKrSbWEgSBirV2IZEZ2CYivylhEvGPbMi20fjMUkEmoZEg44gLN9AovNBbaZxvPaU0ijMpFC0aiVzvXSjPZi1BEPg1Am1Gjx6NtLS0WtcZOXIkPv30U4EUNV8WL16MvLw8/PDDD3j44YexePFihwS2QqFATEwMTp06xU6kE+EJbA6H0+y4e/cuNBoNsrOzceLECWi1WiQnJ+POnTtO2d6vW5Y45XWFYriatQJOU+JOJKkS4sY/uBzXwltOY16pgsD8PADQm2l0V1mImIgXEenAvmEVv3OAF5FxDSoi13scjitiJvPbSSOBbSNyPCm4RVG5T/GV0bjvLDCXspbAYciCBQtQXl77CJbg4GCB1DRv/u///g9PPvkkHn744RrXCQ0NxYkTJwRUJRw07g45HI5L0alTJyQkJCA+Ph6DBg3iM7HrwEbgRgUArDQc68gcT454oBAsAYAQOQ3rqhApjTEGJy005pVS6UwOVtAY2eArEX8X2UUjja4jo5WGpS1P1HNckSwzjdntwQoa17ZUunYDCCQ9cy00Ep5UbO/9FOIfjcOpmV69erGW4DLk5uaiVatWta6jUChQVibOom6ewOZwOE5FpVLZu6kbWjkVGhpqf43s7GyYTBW2pk2d4IsdObNJX09oVAe4zbqYKLXRsO/NN4m/i4zKDVmEkkY3/c1yGsVUtyU0qoWoWMIbzDR+U4JVXqwlCEKBjcaYEQoEEUkcUenw5IgLKpbTZiLXQi2kNO7Jsq00krsUoNKZTMXhjMNpLH5+fsjIyKh1nZs3byIwUJyjJESTwLZRac3jcFyMytnWGo0GKpUKKSkpDX6uVquFp6cn7t69i06dOiE/Px/nz593il5XhM+NERdy0DiekW4BrCU4nSIrjQ7PNJOetQRBoGI/CNC4pvaX00h4mkEjOH2XSEdOKAEnCCmRcxAVqBQLccRFoMyDtQRBSCfSaZ5J5Bo+xyT+4+kvp1GMUGIWZxfln2mh9GUtgcNxCXr27In9+/cjJycHQUFBVR6/desWDh8+jKFDhzJQ53xEk8DmcDjNH51OB41GA61WC4PBgOxsR4vAmpbrdDpotVrcuXMHCQkJ0Gq1TZrAdvUZ2CNpND+SgcoM7BKr+LvIeBBeXFAJwhssNDp2qVjf+8ppBOGpWKVTsUGlAIVEA0BnXilHXJQRse+lApVreCpzkynQQuXPWoIg3CnPYy2Bw3EJpk6din379mHChAl455137FbhpaWlOH78OHQ6HSQSCaZMmcJYqXPgCWwOhyM4BoMBCQkJ0Gg09VoOVCSxx48fb09ye3t7o1WrVtDr9SgoKEBR0f0HgVzdQtzzv/tYS+A0IRQSuwCQWpbDWoLTCXMXp30PVagkPKVELMSpoDeXsJYgCAFEOurdJfz2neNacKcojitSSMT63kqkM5kKvGBIPGQaaCR2pfwzy+HUi27duuHDDz/EBx98gJdfftm+vHKOuEwmw7x589C+fXtWEp0KvwPmcDguQ2RkJFJSUpCYmIiYmJgm68J29Q7s4WoaN568m1VcUKgqplLtz+G4IlRmrpUQCcJT6Uymsp8cDofDEirnWp7wFBepBLpZI9zEH0MAAA+5irUEQdAbi1lL4HBchtGjRyMmJgZr1qxBUlIS9Ho9vLy80L17d4wfPx5t27ZlLdFpiCaBzWdgczjiITk52d6FfejQoSqPx8TENOn2dPq1Tfp6QmNpLf5ZwgBgI5LAVhHprqJQkGCw0bBiDlP4sZYgCPlSGrPISonMbjdZadiDUnEOoNLlqSCwn1Q6AoMU4p9nDgBFRIpoOOLCU6pkLUEQQmQ05gl7Erm/DpWJ340my0LDWUhOpLiko2cYawkcjkvRunVrvPPOO6xlCA6NX3EOh9Os+fPsa6vVioSEBPtje/fuZSmPwxEUKoFb8aevARuRxFGqMZ+1BEEwE+nGcZMqWEsQhBILjUQ9lU5zJZFAnxI09pMCwUQSRzyBzXFFouS+rCUIQoqFRvejnsh4HCr3nhQIJDIax1dGo9O8sXTo0KHGx3bs2IHo6Gj735cuXcLixYtx/PhxlJSUICwsDMOGDcP06dOhVP5RnHXnzh0MGDCg1u2+8cYbeOWVV+x/G41GrF+/Hlu2bEFKSgpsNhtatmyJIUOGYMKECfD0rPnaNisrC3FxcSgqKsLrr7+OGTNm1GfXayU5ORmjR4+G2WzG/PnzMXz4cIfHExIScPToUaSkpKCwsBB+fn5o164dJkyYgIEDB9Z7OwcPHsS6detw+fJl5OfnQyKRICwsDE8//TQmTZoEHx8f+7r3877WhNFoxLhx4+Dp6Ylly5ZBoag+TmM0GjF9+nSUlZUhMTGxxvVcGZ7A5nA4zPnz7OugoCB7UvvMmTPo0qULMjMzkZub65Ttv2R07ZnDRwh041CCynzL88WprCU4nZYqGu4IUgmNTtYot2DWEgTBYKNxPGWg8dtJpfCCSgLbBPGPpqDg0AIAFwyZrCUIgopIURRHXKRbabjulBFxi/KV0EiSFdtcO67F+YMbZVmsJQhCjFdr1hJchpiYGDz77LNVloeGhtr/f+LECUyePBlyuRzjx49HeHg4zpw5g6+++gpnz57Ft99+C8n/L+jx9/fH/Pnzq93Wl19+ifT0dDz55JMOyzUaDf7zn/8gNjYWzzzzDADg8OHDWLhwIQ4ePIg1a9bUqP+DDz6AxdJ096Vmsxlz5syBUqmE2Vx9/OL06dNo3749Bg4cCF9fX+j1evz73//GrFmz8Morr+CNN96o17auXr0KABg1ahSCg4NhMplw7tw5fPPNN9i1axc2bdoEDw8PAPf3vtbE9u3bceHCBXz77be1JqWVSiWmTp2KF198ETt27MCoUaPq9fquBI0oOYfDcSnunXU9fvx45OTkOC15DQBjXzrmtNcWAneMZC1BEKgENAt4p4pooNJNT4WLpemsJQiChUjC009Bo7PBYhN/whMA/OU0ulm9iNjacjgcDkuoJHYlRO6vKYzf4IgLKondPAuNYqGmICIiokqH8Z/55JNPYDKZsGrVKvTs2RMAMHbsWLRp0wYLFy7Ezp07MXToUACAh4dHta93+/ZtZGRkoHv37g6d37dv38Z//vMfPP300/jXv/5lXz5+/Hi8/PLLOHDgAK5evYr27dtXec1du3bh4MGDePPNN/Hpp5/e1/7/mR9++AG3bt3C9OnTsWjRomrX+fHHH6ssi4+Px6hRo/DDDz9gxowZDl3pNTFt2jRMmzatyvJ27drh888/x6+//ooRI0YAaPj7Wht79+5FREQEHn/88TrXfeyxx9CqVSvs3r2bJ7A5HA5HCHQ6nb0bOzIyEgqFAllZzqtAfGJFX6e9thD8r3UgawmCYKVxf00GKt3JFOAzdsWFjUjCk0pRlI2IbSaVLs8yAg4JVIq/Wir9WEsQBDcizkIcceEpofGbYpHQON9Scd3JM4t/PnS4Us1agiAYiBQUS4jcpzQVJpMJ5eXl8PKqWohdUFCA5ORktGnTxp68rmTkyJFYuHAhNm3aZE9g18TGjRths9kwZswYh+VFRUUAgODgqq50ISEhAACVqqrbRV5eHj755BNMmjQJDzzwQO07WE9u3ryJxYsX480336zVtrw65HI5QkJCcPnyZZSXl9crgV0TYWEVM9wLCwvrXLem97U2Ll68WK/kdSW9e/fGwYMH672+KyGauwkisVMOR5RUzr4GKmZenz59GoWFhYiJiRFk+65uIf4/1gI4TUoPRRBrCYKwp+QaawlOx09BoyOQCgEKb9YSBIFK8qiEiNuFj9yDtQRBMBEJ9AVLxX88aXhd0BkZk2YqYC1BEHyVNK7fqUClY1dFJLFL5do22k3856FcSylrCYIgJzIah4pTVF0zkfft21fna+zZswfbt2+HxWKBt7c3+vfvjzfeeAPh4eEAKuYgA4C7u3uV51YuS0pKgs1mq7FwwGw2Y+vWrfDy8sLgwYMdHmvfvj1CQkKwceNGREdH45FHHgEAHDp0CJs3b8aYMWMQERFR5TXnzp0Ld3d3vPbaazh37lyd+1kXNpsNc+bMQceOHTF+/Hhs3bq1zufk5eXZ/929ezcOHTqEmJgYeHs3LL5TUlKC8vJylJaW4uLFi/j888+hUCjwl7/8pdbn1fa+1kZ+fj4CAurf+BMQEAC9Xl/v9V0JGndNHA6nWZOTkwOgolorIyPD/sOrUChgMtGw7+JwKqEw3xIAIt3E34FdaKWRIIsgUgmfTiQI70akk5UKepP4u3EAOgGwBz39WUvgNBGF1nLWEgSBSnEJR1ykmYtYSxAEKtcIvkSK+XxlVRNXYsNCJFaSZay7o1MMeMlozKf3ROMKErp06YKnn34arVu3htFoxMmTJ7Fx40YcOnQIa9asQbt27RAYGAi1Wo3r168jJycHQUF/FLQcPXoUAFBaWoqCggL4+flVu50DBw4gJycHY8eOtc90rsTNzQ3fffcd3nnnHbz33nv25VKpFK+99hpeeeWVKq938OBB7Ny5E0uXLq3yevfLmjVrcPbsWWzatAlSaf2KsCqT7UBFniE2Nhbvv/9+g7f98ccfY8uWLfa/27dvj6+//hrt2rWr9Xm1va+1oVKpUFpa/6Kd0tJSuLm51Xt9V4InsDkcBmi1WhgMfyQ27u1ApoxOpwNQ8f5kZGTg/PnzjBW5Btx2R1yoGnlx6yqklN9lLcHpUOnYTTXms5YgCAoilfA2Il0qSiLdj7J63ti7Ol4ycd6s/5lrVvEnVajY+1OBym8nR1xQOQ+1UPqyliAIxUQKhjJMetYSnE6QnMb9NZX7MT0B23sAOLLveKOev2nTJoe/hwwZgv79++PFF1/EvHnzsHz5ckgkEkyZMgVffPEFZsyYgTfffBNhYWFISkrCvHnz7A1i9+Yi/syGDRsAAM8++2y1j3t6eqJVq1Zo06aNvat8z549+PLLL2Gz2TBjxgz7usXFxfjnP/+JIUOG4LHHHmvU/leSnp6OL774AlOmTKn3HGkAWLFiBSwWCzIzM7Fr1y4YjUaUlJQ0qLsZqJiFPWzYMOj1epw6dQonTpyoV8dzXe9rTYSGhjYoL3L+/HmEhoY2aBuuAo3IDYfTzDAYDEhISLD/XTnvmRoqlQoajQYmk8luF65UKmGz2WCxCFet3+3/jgm2LWfQzTactQRBoBJIOGGiUdAS5ib+rt0Sq2uPJ+A4opLd/3wkVyK7nEaneU/PqhZnYkRO5LeTSrecr0T856FMIkFbKlDoCKQElfsxKvtZZqXhdkflPGSRir+Yj0oHdqmZhpNbew9xJtuE4PHHH0e3bt1w5MgRlJeXw83NDdOnT4fRaMTy5csxceJEABUx9ldeeQX79+/HuXPnqp2fDQAZGRk4fPgwOnfujM6dO1d5PCsrC2PGjMGjjz6KhQsX2pfHxcVBo9HgX//6F5566ilER0cDAObPnw+DwYB33nmnyfb5n//8JwIDAzFz5swGPe/RRx+1/3/MmDF4+eWXMW7cOPzyyy/w8fGBxWKx24xXolAoqnSqR0VFISoqCgAwePBg7NmzB6+99hpkMhni4uKq3XZd72tt9OnTB2vWrMG5c+fw4IMP1rru+fPncfr0aUyYMKFB23AVRJPAtllpXGByOK6OSqVCSkoKgD86rjUaDRISEph1XqeOXiLo9pqa4Woa3VVUAglU4ralBAImEiKfWSkRFwgPCQ1r7ZYEiksAoJBIgQmVOZ5UujxLbWbWEpwOleu9HBONogsVkbEUobLqA8Jig8osYTepaEKltWK10jienkSu4U0S8Sd3y63ivw6iRBoRJzdnER4ejqSkJOj1eoSEhEAikWDWrFmYNm0arly5ArPZjPbt28Pb2xurV69GcHBwjQnsTZs2wWq11tglvHHjRuj1egwaNKjKY4MGDcIvv/yC48ePIzo6GhcuXMCGDRvwyiuvoLi4GMXFxQAqkuAAUFBQgNu3byMgIKBGPX9m7969OHToED766CNkZmbal9+9e9f+7+3btxEcHFztHPB7GTFiBA4cOID//Oc/GDVqFDIyMqrMKe/Tpw9Wr15d6+vExsbC09MT69atqzGBXdf7Whvjx4/H2rVr8frrr2Pp0qU1WpVfv34dr7/+OmQyGcaNG9fg7bgCNK7KOBxOs0Gn01XpOD969ChiY2MBoErVkxDEjmxY9VZzQ3VgL2sJgkClTqmDgsZ8y4vGXNYSnA6VCnGrjUbwiwpKIolAFZH9LCaSqKfyuTUQmCfcTtkwOz9X5bpR/KNUAD4Dm+OatJbRsCnOktDo8iwkYiFOASrW2lQ6k9vJfFhLcGlu3boFhUIBtdqxAF2lUqFr1672v8+dO4e8vDyMGTOm2texWq3YtGkTPDw8MGTIkGrXqRx9Wp1bauUys7miwCQjIwM2mw1ff/01vv766yrrr1y5EitXrsQHH3yA559/vh57CqSlpQGo6MKujs8++wyfffYZli5dWqdleaWNemFhxaz5oKAgrFixwmEdH5+6P5sWiwUmkwkFBdU72NXnfa2Ntm3bYsaMGVi8eDFGjBiBp59+Gg8//DBatGgBoKIg4H//+x9+/fVXGI1GvPbaa2jbtm2Dt+MK8AQ2h8NhTkBAAHbs2GGfDZ6fn8/nXzcAKjOwqXTkXDYJX8TBgrsEOo/UChrdOFQ6sEtt4ncNAAA1EZtFColAgCePxAaFThV/9zDWEgTBW6ZiLUEQiiw0EmQccUGjBBW4ashiLUEQolTBrCUIwpUy8R/PCDcaxf5URpH9brrDWkKzJz8/v0qCGgB27tyJCxcu4IknnoBSWfOIIYPBgHnz5sHNzQ1Tp06tdp3Dhw8jPT0dzzzzTI0d0ZXW2Vu3bsXgwYMdHtuyZQsAoFu3bgCABx98EIsWLaryGteuXcNXX32FuLg4xMbGNshS+4knnrAnbu/l2LFjSExMxMSJExETE4MHHngAQEWXt7u7e5X3xmg0Yu3atQCA7t27AwDc3NwcbMb/TE5ODoKCgqosX7t2LYxGo/11/kx93te6mDVrFuRyORYvXoydO3di165dDo/bbDbI5XJoNBq89NJL97UNV4AnsDkcDnO6dOkCjUaD7OxsREZG8uQ1p1qoWNa5E7FabKUKZC3B6RRbaFT7U+nAdiPS4WkkkvC8aypmLUEQqDhB+Mk8WEsQhAfdW7KW4HSuEulMdiNyvcfhuCJFRIoWW7mJ/34MACw2GtdCz3hGs5bgdG7ZSllLEAQKI2MAIFjmyVpCs+ebb77BqVOn8PDDDyM0NBQmkwmnTp3Cr7/+iqCgIMyZM8e+7smTJ7FgwQL069cPISEhyMnJwZYtW5CWlobPPvsMbdq0qXYbGzduBAA899xzNeoYNWoUVq9ejYMHD2L8+PEYOHAggApr7xMnTiA2NtaeyA0JCanWavzo0aMAKpLh1T1eG61atUKrVq2qLC8trTgnPPjggw6vefz4cbz33nuIjY1Fq1at4OXlhfT0dOzYsQN37tzBc889V2Pi+c8MGTIEPXr0QJcuXRASEoKCggIcO3YMBw8eRFhYGGbNmlXt8+rzvtaHl19+GUOHDsWmTZtw6tQp5OTkAKjoHO/VqxdGjRqFsDBxFwCLJoFts9Ho/uFwxEjlLGytVouUlBQMHDgQKSkpiIyMREZGBvR6Pe7c4ZV5NUGlM5kjLm4ZxG8h7qegcUNGpQM7rVz8nY8AYCQwnx4AvOQ0Os3lRAovaJTR0LDObKGgYSdJpbuq1EajmI8jLkqIJLALrTQcElQS0YS+a+WMRfz3KgYiiV0q+8mpm4ceegg3btzAjh07kJ+fD5vNhrCwMMTHx2P69OkICPhj9E5ISAj8/Pywdu1a6PV6+Pj4ICYmBgkJCTV2O+fm5uLAgQOIjo62d1BXh5eXF9avX49vvvkG//3vf/H5559DKpWidevWePPNNxEfH9/Uu94ooqOjMWDAAJw4cQK7du1CaWkpfH198cADD2D27NlVushrY9KkSfj999/t76tSqUSrVq0wY8YMxMfHw9fXt8pz6vu+1pewsDC89tprjX4dV4XGrziHw3EJdDqdPYkdGRmJlJQUJCYmQqvVws/Pz2md2RdX/c8prysU3SNpdMvxRL248FWIv1vOSqTan0oHtoTIOciXSOGFyUrkt5NIgQkVKJyHqMwzv0VglAoAqHinuaigUEQDAB2kNAppUokkdmnckdHoNKeS2KUS+2op92YtodkzYMAADBgwoF7rhoeH49tvv23Q6wcGBtY71u7v7485c+Y4dH03hIceegiXL1++r+fWxKhRozBq1KgqyyMjI/HJJ580yTZmzpyJmTNnNug5DXlfOXVD42qFw+G4DDqdDhqNxp7MfvLJJyGXy5GX57y5wDOtbzrttYXgf6Bh/UVl1jcVcssLWEtwOoFuVSsxxUiEsupMJjGSZtKzliAIVBK7VBwSyol01JuJhKctBJJHt4zOu+bnCI+JyFgKKlAoogEAA5HfFAOR76eMyOeWwhggKkU0A+WhrCUIwlErv+bjcDh1wxPYHA6n2aFSqRATEyPY9rR+zwu2LWcwXP0f1hI4TYiP1I21BEEY5N2BtQSnc8KYyVqCIKQaxW9XRwkqHbuFZhoz9Kg4JJRZaNgxF5nLWEtwOgPcW7OWIAhnzTRmfVOx7g2SKFlLEIQ7NvGfgwAg2UwjqUJllIGnlMb3s9Aifkv4nm4tWEsQhBTQGL9xzZDNWgKHMXq9HiZT7QXXCoUCfn5+wgjiNEto3E1wOJxmi1arhcFgwKFDh5hpCC/syWzbTUG3yD2sJQiCDFLWEgQhQEIjgR0EbinJcS3MBLoaAMCNiN0rlePpTWTWt4KI7XQfRTBrCU7nv4ZU1hIEwZfIdzPdJH7HHQAIkNI4nlS6HyNkNCzErxLpfqRSzOcvF7+7UAGR+fTXjTSK3MLcaDi5cWrm1VdfxbFjx2pdp0+fPli9erVAijjNEdEksAmM+uBwREVl4jo/v6Jzr1+/fgDAJJF91vC64NtsSuLRkrUEQeAW4uIiCzQq/jniwUcu/rntAJ2Za0UWGl1kVBL1bkS6PCl0P1K53qNixUyluIQKVD63V000ErsRChrjjqiQR+Datq2Exv3YeUsGawmCIJPQaFLh1Mzbb7+NwsLCWtfx8aFRVMapGRp3+hwOp9lhMBiQkJAAgH0X9kPKECbbbSraEQlOy4l0YCcZadgo9XLx7119sPDqOlFRQsCWD6ATSKCyn0oiiV1/GY3uRwWBayEqv52hMi/WEgTBT6piLYHThFDpwG6roNEVGELE+euatZi1BEHoKvdnLcHp3AWNDmwqRCj8WEvgMKZLly6sJXBcABoRDQ6H06zR6XQAAI1GA5VKhYyMimrD8+fPC7L9a99cFmQ7zmKo5AHWEgSBSkcOlaSKlUAAjEriyAgzawmCQCWpQqW7igrlVhqBPgORYj4KZyEq10FU3C6oXL9Tgco1QpalhLUEQbhhzWctQRDciYzHOWMV/9zkKLkfawmCYLCI/1gCQKpJz1oCh8NxAWhEVjkcTrNCpVIhJSUFwB/d1wCQnZ2NxMREAEBMTIxgegYeuyLYtpyBu2QkawkcToPJtIrf4owjLqhYiOtNNIK2SimN2yAqyUAFkf1UEbBj7qAMZC1BEGikAQFPIiEn8Zdl0kIto+EcoCTwmwLQKaS5YchhLcHpUElgByhpWCarJDSKSzgcTuMQzd2E1UbjgoTDEQM6nQ4ajQZAVSvx+Ph4qNXCWnZdXPU/QbfX1PSMpBEyoXLjSQU/qfgt69JR+ywfsRChpGGzeLM8l7UEQVDJaAQSqHTUlxDp4CiRGVlLEAQ/mfh/O3OIFLilGWl0PqqIdD52VAaxlsBpQkxErhECpDTGb2RaaRRntnETfwGYnEj5l4GIg5KHVMlaAofDcQFEk8DmcDiuj06ng1arxd69ewXd7gMvPCLo9poantgVF1RmfXsTuAShYrOYRsT6i0rHrsFCI2Diq6DRUV9moZHYLbHS2E+9VPwFCf4ECtwAwKjwZi1BEPLMNBJHHHFRYqNxLWQiMZiCTtEiBdedXJv4r4MAQC33ZC1BEAosNIoWORxO46ARieNwOM0OlUoFjUaD7Oxsh+U6nc4+E1soG/FftywRZDvOYjiN5kcymIkEEooIzE22ETGUDFP4sZYgCCnGPNYSBMFMZJZwKZHOZKuNxnlIJaFxW+tOYD+vGu+yliAIVLqrqHRgc8RFMZFrBC8Crh6UyCBQVOzvFsJagiDkmopYSxAELzmNcQ0cDqdxiP8OmMPhNEsqk9SVVuLVceLECWi1WqSkpCAyMhIGgwE3b95ERkYGLBYaAfb6YCMSnOad5uJCRaTTnAKpRGxQPYnMQzRZafy+UplpXk4kScYRD1YixV/t3WhYTqcSSKhwxMcDSvFbMQOAkUhnMpXflbvmYtYSOE1EGxWNc5CUiGNdU2K1WjF27FgkJSXhkUcewcqVKx0eLysrw5IlS/DLL78gOzsbwcHBiIuLw4wZM+DuXv3YiN27dyMxMRHJyckwGo0ICQlBr1698Omnnzqs9/333+PixYu4ePEiUlJSIJVKcfHixWpf8+zZs1i2bBkuXbqE3NxcWK1WhIaG4rHHHsOUKVMQEtLwYpRjx45hz549OH78ONLT0wEAkZGRGDp0KJ5//nmoVA2L1xw/fhxfffUVzp07BwB48MEH8dprrwnWTMepP6JJYNv4DGwOR5SwshXncFgRIKORVDES6TTniAc3Ap2PANDSzY+1BEHIIdLZoCTyuTXYxO/qAQBlRPaTAnqrgbUEQeDzLcVFqIRGMd9pUy5rCYJAJYrqQ6QIlYIrlplIMQKVJpUCKw23i6Zk1apVuHr1arWPWSwWvPjiizh27BiGDx+O3r1749KlS1i+fDnOnj2LFStWQCp1bCT58MMPsXbtWjzxxBN4/fXXoVKpkJGRgdOnT1d5/S+++AI+Pj7o1KkTSktLkZdXs0PdrVu3UFJSgri4OAQFBUEqleLy5ctYv349du7cic2bNzc4if35558jPT0dAwcOxLhx42AymbBv3z58+umn2LFjB9auXQs3t/o5ixw6dAgvv/wyQkJCMGvWLCiVSmzYsAEvvPACli5dikcffbRB2jjOhUZEg8PhNGu0Wi0MhoogTnJyMsrLy6FQKGr9MWxKwgt7CrIdZ/FUm8OsJQhCrqWUtQRBKLHRmOPZXkpj9iMFIpQ05hhQSTZYiRSFehCxzfSX0ZihV0wkAKaSyFhLcDpkgrZE5j5S6a6i0uGZbqPxue2goHFtm0fkvrOQyDVChMyLtQSnU0pk1JGSwPUeALhJeVqqIaSmpmLRokXQaDSYN29elce3bNmCY8eOYeLEiXj33Xfty8PCwvDZZ59h+/btGDFihH351q1bsWbNGnz88cd49tln69z+3r17ERkZCQCYOHFirTH7YcOGYdiwYVWW9+7dGxqNBhs3bsSsWbPq3Oa9zJ49G7169YJc/sfnZuLEiZg9ezZ27tyJn3/+GePHj6/zdSwWC95//30olUr89NNPaNmyJQBgxIgRiIuLwwcffIDdu3dXSfZz2MHPFBwOhykqlcrBIjwgIAB6vR6lpcIlK2da3xRsW87gfxYa9kIyCY2LhxIrjUBCKWjcfFKAioW40Uqj81EhpREwkRMJDKWYacwTbqeiYcdcTsDuNZqItbaRSBCeioU4lUS9hMh+BoDG7HYq92MeUhrFfHoCcQQKhXwAUGKjMQKonMj9dVPx7rvvIioqChMnTqw2gb1t2zYAwOTJkx2Wjxs3DosWLcLWrVsdEtjffPMNOnbsaE9eFxcXw8PDo8bEbWXyujGEh4cDAIqKGu6G9tBDD1W7fPDgwdi5cycuX75cr9c5ceIE0tLSMGrUKHvyGgC8vb0xZswYLF68GKdOneJW4s0InsDmcDhMqbQIT0lJQWJiIrRaLRQKBc6fPy+YhiXSBYJtyxl0g461BEGQ2WgksBVEZkNzC3GOqxGgpOEaYCISSDARSR4FKmh8bvOJdLM+omj4vDhX45K1kLUEQbhZTsOiOFzpz1oCpwmxEek0P22hUZzpQ8TiX0+kA1tFYGyMEjQS2FRcWlrKfVhLcBk2bNiAEydOYNOmTdUmmG02G86dO4fg4GCEhYU5PKZSqdCpUyf7rGcAuHnzJm7duoXx48fj+++/x8qVK3H37l24ubnhsccewz/+8Q97srkxlJWVoaysDOXl5bh27Rq++OILAED//v0b/dqVZGVlAQACA+vX3JWUlAQA6NGjR5XHKpedO3eOJ7CbEeL/deNwOM0enU6H+Ph4aDQaHDp0SPDtu1urVq65ElYacQRIJDR2VCqh0dmgJJKopwAVC3EqCTJ3IsFMD9YCBMJCJNlApfvxlq2EtQSnk2bUs5YgCFFEOs3TTAWsJQhCkNKdtQROE9JR5staAqcJKZfQKJz2IpDApnEkgXA5jXMQlY76AQMG1Pr4vn37an08KysL8+fPx+TJk9GxY8dq19Hr9SgrK0P79u2rfTwkJASnT59GcXExvLy8cP36dQDAv//9b5SXl+Pll19GmzZtcPToUfz0009ISkrCtm3b4O/fuELEZcuWYfHixfa/w8PD8dlnn+GRRx5p1OtWUlxcjGXLlkGhUGDo0KH1ek5lwru6GdwtWrQAAGRmZjaJPk7TIJpfN5uVRtCCwxET986+zszMFLTr+l6mwLUrrJXyTqwlCMJBSw5rCYJQYqVhF2UgcPtJxWaRioV4S6UfawmCUESkS6XQLNyoEpb4y8U/DxEAMokkPXNM4u9OHuzRjrUEQfi/8jTWEgShq5v4XQMAwEjA3h+gc2172kTDIYHG0QQCZDTKFuUECsTNBGIIAGCw0XDEumGkMeooEI0rcvvggw+gVqtrnRldGVtXKqsvRndzcwNQ0RHt5eWFkpKKoti8vDwsX74cffv2BQAMHDgQXl5e+Oabb7By5Ur87W9/a5T2ESNGoFevXiguLsaFCxewf/9+6PX6Rr1mJWazGRqNBmlpadBqtWjTpk29nldWVtGYUN17de/7xGk+iCaBzeFwXAutVouMjAwAgFqtRm4uu5vEd77JZrbtpmCENZi1BEGgMgObyn76E5ktRwEqrgHpRBJkJWYaN2sechVrCYJQTiQA1tE9lLUEQUgx5rGW4HQURFIqnZQ0OrBLiJyDqIwAooKcyP0YFZtipZRG6DvbIn6XlscULVhLEITjoPHdLCJy35m07/f7fu6uXbuwf/9+rFixAipVzfevlY8ZjcZqHy8vryhSd3d3d1g/ODjYnryu5JlnnsE333yDI0eO3LfuSiIiIhAREQEAiI2NxYABAzB27FgYjUa8+OKL9/26ZrMZs2fPxv/93/9h2rRpiI+Pd3i8qKjIntSvxNfXF0ql0v4eVPde/fl94jQPaPyKczicZofBYMDKlSuh1Wpx8uRJploGHrvCdPuNRWkbzlqCIFCxB6UwuwoASkFj/iwFrDYaFsVmIjOTFVIaxSVyIpZ1JRZD3SuJgFwiyQYK82dpnGkBfwmNcQ1UxhjobTQclKgQKqPhXqIgci3kRuT+uqeicVa/rkAuaJxru8vEfywBoJGNyaLHaDTik08+Qd++fREWFobbt287PG4wGHD79m14enoiICAA7u7uNVpfZ2VlwcvLC15eFb9voaEVxb9BQVULKoODK5qkCgqafgxM165d0bZtW6xbt+6+E9gmkwmzZ8/Gnj178NJLL1XbJT537lxs2bLFYdmPP/6Ihx56yG4dXmklfi+V71+llTineUDjV5zD4TQL7rUMz86u6HrW6XT25dnZ2YiMjITBYBB0FvYTK/rWvVIz5rfWAawlcDicaqCQaKAEFdtMhZRGItBopdEV6CunYZtJJVGvJBCET7XR6Mah0CkHAGVERuNEEUgcAXQKij2IJHbdCfymAECwlEaW7KRZ/HbMgUTs4M1E5rYriZxr7xeDwYC8vDwcPnwYsbGxVR4/ffo0YmNjMXjwYCQkJKBLly44fvw40tLSEBYW5vA6ycnJ6NGjh31ZdHQ03N3dq03iVrqlBgQ4J9ZsMBjuOzluNBrxxhtvYN++fZg1axZeffXVatebNm0ahg0b5rCscn54165dAVS8f88++6zDOmfOnAEAPPjgg/elj+McRHO1QqT5h8NxaQwGAxISEgAAGo3Gvlyn0wH4w1Zc6FnYS6QLBN1eU9Mdn7KWwGlCSol0cFCYgc0RFyFKH9YSBKHEWr3tmNgoNtNIeFLBU0bDEp5Cor6VhEaiIV8i/mMJAH5ExjVQwUqkODPPRuRaiMg1X4GVxvk2Qib+e5WWEjfWEgThfybXHnNYX4xEHM7uF3d3dyxatKjax15//XVER0dj5syZ9m7q4cOH4/jx41ixYgXeffdd+7pr166FwWDA8OF/uHeqVCr89a9/xebNm7F7924MGjTI/lhiYiIAoH///vetPScnp9ru7n379iE1NbWKbXl9MBqNeO2113DgwAFoNBq8/PLLNa4bFRWFqKioah/r3bs3wsLCsHv3brz22mv296+4uBgbN25EREQEevbs2WB9HOchmgQ2h8NxbbRaLfbu3euwTPL/56ranFyhMtP6plNf39n8Bt6BzXE9KMzAptKxSwUqiV0qn9uWSj/WEgSBSmDIQ0rDjtlEwDnglEX8c74BQC2lkdj1ItLhaSLSUREqofG5PWS4w1qCIPgRcWnxJnK+pTCyIQ/ivw4CgFIi951eMhoFCfeLQqFwSCz/mYCAAIfHR40aha1bt2L16tUoKipCTEwMLl++jDVr1qBPnz5VOpI1Gg1+//13/P3vf8fp06fRunVrHDt2DL/88gs6deqEiRMnOqy/detWpKenAwDS0tJgs9nw9ddf2x+fMWOG/f8vvvgifHx80KNHD7Rs2RKlpaVISkrCnj174Ofnh7fffrvB78ff//53HDhwAD179kRoaCi2bdvm8HhkZKRDl3lNyGQyvP/++3jllVcwfvx4TJw4EQqFAuvXr0dubi6+++47SIm40rkKNO4mOBwOc1QqFVJSUhz+jomJsf+tVFYNPDo7cV2Jq3dgd4OOtQSBoJFU8ZCIP7ELAHoC86tkRGayUsGdyHeTCrnmYtYSBIHKechMxNWjs1swawlO5y6RTrmLhupnFIqNR9wjWEsQBBOBxBEApBOx+Pci4upBZQZ2CyIW4tlW8X8/TUSu9/zlnqwlCAKV+zGhkMlk+P7777FkyRL8+9//xq5duxAUFITJkydj5syZkMkcz/nBwcHYsGEDFi1ahJ07d6KgoADBwcGYPHkyZs2aBXd3x3Pnpk2bcOzYMYdl93aI35vAHjNmDPbu3Yuff/4Zer0eMpkMYWFhmDBhAqZOnWqfQ90QKt1aT506hVOnTlV5fOTIkfVKYAPA448/jh9++AFLlizBv/71LwBAly5dsGLFCvTp06fB2jjOhSewORyOIOh0Ojz66KOIjY1FXl7VzgqjkV2Foat3YKfK27CWIAgp5kLWEgSByqzA/yu+yVqC0/FXerGWIAgRSjVrCYJAoasBoNMVeJdIwMRHRiNom2sqYi1BEE4TsBDv5hbKWoIgyNyq2iqKkTPlVWcripGOShrHkwpU5ux6ESnOvGyi4ezhS+CaL9dSylqCIJhtNBL17ZWBrCW4LJcvX652uaenJ9566y289dZb9XqdkJAQzJs3r17rrl69ut76xo0bh3HjxtV7/fqwf//+Jn29hx9+GA8//HCTvibHOfAENofDEQyFQoFevXrBYDAgOzsbkZGRVWzDOQ2HSmJXSqQDmwphbuJPehpsNCzOUo35rCUIgruMhkVxlonGbwoVqHQmU+k0p4CRyGfWX0rDNjONtQBOk0JlzIg7kc5kKsWZnkTGjJTZxF8Iz2NC4kIJfv3O4XDqRjQJbJuV/4hxOM2d8PBwGAwGJCQkQKvVIiUlBQMHDrQntBMTE6HVapGRkYHz589DKpXCanV+EOvA5MNO34YzcZeMZC2B04SoCVROA4CcQGDIYKbRESiV0LgGu2ukcTwtRGYme8lpnGvJjKWwlbCWIBDiD/SJfw8ruEWkANVE5DelpYRGQcJNG43uRxWB+xSATgKbQmIXoFFgQsUdgUqiPt1CwxGLUzNFRUUwGGp3mJLJZPD39xdIEac5IpoENofDaf4EB/8xt0+n00Gj0dgT2hqNBlqtFgaDwT7XQojkNQCs+86151uMb9/w2SGuCJXuKjNoBPpKLFSSDeLHaqMR/Org3oK1BEGgEswsspazliAIVPazhdKXtQRBKCJgIR5AJBF41pTBWoIguBPpfKSCjcg1wk1zAWsJguBHZGxMV3kAawmCkE8gUV8CGg5nbSU0EvUGKY3jyamZuXPnYsuWLbWuExYW1uT24RzXgiewORxOnQQFNc1ML5VKhZSUlGr/VqlU9s5roflO6dqBFSrdj1SqUEuIzMDOMIh/FlkLAjbplEgxiv8zSwkqSRWFlMbtXqaRRrJBIaXRFcjhuBrpNhrFQhQ6PAFAQaQDmwq/l6ezliAIoQrxF/MpiDQ1mIgUC1GJ8XFqZtq0aRg2bFit67i50Shu5dQMjYgGh8NpFPd2TjeGyq7re//WarWIiYkBACiVSigUCphMNBJ4TYWMiNmihEiiPlzhw1qCINw1id+Omcpnlgqt3Gh0b3hIaNweGIjY2iqIXCNQ6SJLM+lZS3A6v5fTmJoc7dY091fNnVQCn1mO+AiW0uh+zLOJ39UDACKVNIqKLTZhHAxZUkDAiQYAToHGuAY3IqOOODUTFRWFqKgo1jI4zRzRRKisNh4k5nBcjUrL8H79+iE5ORnl5eUoKhI+qfXON9mCb7MpGWSjcUNGJVGfa6Fxs9JC6cdagtMpIWLdG0EkKJRvKWMtQRBsPBEoKlREOs0D5Z6sJXCaiHZKGsVCVIpLIhR+rCVwmhAqFuItiIwyuE3EKl0mo3G+7SIVfyF8npRGs4uMSGdyCZHxeRwOp3GIJoHN4XBcA5VKBY1Gg0OHDrGWYmfgsSusJTQKpWQ4awmCQMVeiEpXYI6xkLUEp+OroNG9kWrMZy1BEEKIuCMUEim8COeFF6KijMj4jTKLkbUEp5NvpdFdFSB1Zy1BEKxEEp5UoGIhfttGo6CYxtEEWklpFLmdsoj/nkxJxN5fT+T6vZVc/Lb3HA6n8fAENofDaRIqu6kBIDk5GbGxscjLc415oYfX+7GW0Cgmhg5hLUEQ0izit5wGgC4KGp1Hp2xm1hKcjs1GI2j7rKodawmCcNJGo0vFaqXxubUQ+X6Gy2kUXhiJFH9FqcRvO32XiBMNFR6U0SgWyrGJv7gEoNOBnU/EppiKe8ltawlrCYLgQ8B1h8r1Xgu5F2sJguBOpCCBw+E0Dp7A5nA4jUar1SIjIwNqtRrJycmwWq0uk7wWA1Qqp6l0YCcZc1hLEISOikDWEpzOJVMuawmCkCKh0bErJTKuJlrux1qCIIRA/EE+AJDTyDVgreEqawmCoJCKP9DXVxXBWoIgXDTTuFe6aqVRgOpHxHKaCpFyb9YSBOEakXEqXgQSuwBQTCC521pG47tZYKPhLJRLxHWHw+E0DtEksG1EgoocTnPk9OnT6NSpEwCgRYsWAACpVIrcXBrJG9bcIdKZTCWBLZHQ2M/DxddZS3A6T3i3Zy1BEFrZaARtWxAJfuVB/O4IAJALGoEhbyKdDRFu/qwlCAIFS8lrFvGPGAEApUQ0oZhaoWI5TYVuoJE8+t1Co8DETUrjPOQnpXGvctko/vhbmIyGa8AVAscSANyJ3F9zOJzGQeNqhcPhOBWr1YqEhAT731qtFgDQqVOnZjXruibKvnBxO8bPWAvgNCVUbKelBJIqZ8uzWEsQBKlbCGsJgnDZJP65cgAgI1JEEyijMaP+CpGZ5hEyGlaLFOxBn7TSsL2/LKNRLBRoE//1HgDkScTf+QgAZ23FrCUIAhWbYirzhGWQspYgCBSSgR6g8ZmNVNIYv1FI5D6Fw+E0Dp7AJoTVasXYsWORlJSERx55BCtXrmQtiSNSdDqdw9/3zsdujgntgceusJbQKNwlI1lL4DQhVDqwTVbxdz/KiQSFqGAlMvexzEJjjqevVMVagiB4ShSsJQjCsbI7rCUIAoXfFYuSxrnWbKWxn9lEOs272mgU0dA40wKd5DSSR3dtNJJHBURm1IcSmJucbhO/Ew0AXC+n0YHdQuHLWkKzJy8vDwsWLMCFCxeQlZWF0tJSBAUFoVu3bpg2bRo6d+7ssP6lS5ewePFiHD9+HCUlJQgLC8OwYcMwffp0KJWORS4rV67E/v37cePGDRQUFMDLywutWrXCmDFjMGLECMhkVe87jEYjfvzxR+zYsQO3b9+GTCZDeHg4Ro4cifj4ePt6Z8+exbJly3Dp0iXk5ubCarUiNDQUjz32GKZMmYKQkMY3QWRlZSEuLg5FRUV4/fXXMWPGDIfH//GPf2DLli3VPnfKlCl4++2367Wd+9mXvXv3YsWKFUhOTobNZkP79u3xwgsvYMiQIQ3fUQ5PYFNi1apVuHqVxnw4DlvuTVgDQHZ2NhITE6tdJz8/H+fPnxdaogN7+0Qz3X5jmXnoIdYSBCHVQqPinwotVOK3e7XAyloCh9Ng/OU0rPmCiCSw84gEbcOV4v9NAYDbBAKa7aXiD8ADIHOFcBc0zkH5oNGxGwoav523rSWsJQiCgUinOY3+a0AhEf+e+hIpzPSQ0bC9zzHTGIfYGIqKinDz5k08+uijaNmyJdzd3ZGWloYtW7bg2Wefxbfffot+/foBAE6cOIHJkydDLpdj/PjxCA8Px5kzZ/DVV1/h7Nmz+Pbbbx0aZs6dO4cWLVqgX79+UKvVKC4uxn//+1+88847OHLkCBYsWOCgpbi4GFOnTsWlS5cwfPhwjB8/HiaTCampqbhzx7HE7datWygpKUFcXByCgoIglUpx+fJlrF+/Hjt37sTmzZsbncT+4IMPYLHU/Ts2f/78KsuioqLqvZ2G7suyZcuwYMECRERE4JVXXoG7uzt+/fVXzJ49G5mZmZg2bVq9t82pgCewiZCamopFixZBo9Fg3rx5rOVwRIxWq0VKSopDwlqr1UKj0QAA8vPzoVarkZyc3GxmZLt8B7aFRgc2lRnYVPaTQrjEncgNNhWo2CwaCLgjAEAqaASnPaU0zkN3zbzITSyYibhd5BApLikBDat0E5HPbTmJK3g6FuKZpgLWEgShnVsgawmCUGwV/++KTULjXDtQ0ZK1BEFYVXSOtYRmT6tWrbBu3boqy59//nk88cQTWLp0qT2B/cknn8BkMmHVqlXo2bMnAGDs2LFo06YNFi5ciJ07d2Lo0KH21/jiiy+qvG58fDymT5+O7du3Q6PRoGXLPz6L8+bNw5UrV7Bu3Tp06tSpVt3Dhg3DsGHDqizv3bs3NBoNNm7ciFmzZtXvTaiGXbt24eDBg3jzzTfx6aef1rru8OHD73s7QMP25e7du1i0aBECAwOxefNm+PhUjEaaMGECpk+fji+//BKDBg1CeHh4ozRRQzQJbCIjQ++bd999F1FRUZg4cSJPYHOcisFgQGRkJOLj46FWV7XeYt1tLUaozH2k0oHdQUGji8xCINB30ZjDWgKnCSkmMqOLSuGFmUhwOsNsqHslERBGxIKwRC7+2e0KIoV8N8x61hIEoauCRuJIRaTHs61FNCHEWvldSuO+00jAchoALDYanhd6i/jttdsovVlLEITfLc2j2cfZhKtoXCM4g8DAQLi5uaGoqKKLvaCgAMnJyWjTpo09eV3JyJEjsXDhQmzatMkhgV0TYWFhAIDCwkJ7Ajs9PR1bt27F+PHj0alTJ1itVpSWlsLLq2G/I5WJ20rd90NeXh4++eQTTJo0CQ888ECd69tsNpSUlMDd3b1aW/T7pbp9OXXqFIxGIwYMGGBPXgMVoyJHjBiBQ4cOYfv27VXszjm1Q+Pq04UZMGBArY/v27evztfYsGEDTpw4gU2bNkEqpXFjxREOlUqF8nLHoL5Op7NbhDfHmdd/5okVfVlLaBSHW9NIeEqIBDQvGmncrDyoDGItwek8o4hkLUEQjESqCC0EPrMAnXNtKJR1ryQC7oBG4cUdIhaEFEZT/GpIYS1BEAaqaFwjXLXSSAS6E5n1nS6lURRVRMQhQU7EXSifQGIXAAYrxN/Rl0vE1SPPTMMpKkLhx1qCIDRFbsdkMqGoqAgWiwUZGRn44YcfUFpaiv79+wOomE0NAO7u7lWeW7ksKSkJNpvNwUYcqEh+WywWFBQU4PDhw9i0aRMiIiLQrl07+zqHDh2CxWJBhw4d8M4772DXrl0wGAzw8/PD8OHD8be//Q0qVdUxI2VlZSgrK0N5eTmuXbtm7/qu1H0/zJ07F+7u7njttddw7lzdXfwxMTEoLi6GTCZDly5dMH36dAwcOLDB263PvtR2HCrfn6SkpAZvmzo0rrIJk5WVhfnz52Py5Mno2LEjazkcEaLT6RAbG1vtcuCPWdeVc7C1Wi0yMjKgVqubxfxrAHjnm2zWEhrFIFvVTncxIpPQSKpYCXQmA4CRQBA+WUIjWPKgterFuRihcg6iYoOaTyQAVmKjYQnP4bgaSiLFQtFEZpr72Gg0CpwGjWKhECmNa9tiG41rIQrFXwCQJ6FxPCkgIzDPHABaEDnXXkPj40KnTp3CpEmT7H97e3tj+vTpmDlzJoCKjmy1Wo3r168jJycHQUF/FN8fPXoUAFBaWoqCggL4+fk5vPbIkSORlpYGoKJT+NFHH8X7778PheIPZ7br168DqLAd9/HxwbvvvgtPT09s3boVq1atwvXr17Fs2bIqyfFly5Zh8eLF9r/Dw8Px2Wef4ZFHHrmv9+HgwYPYuXMnli5dCg+P2p2pAgICMHHiRHTp0gXe3t64desWfvrpJ8yaNQtvvvlmg2dR12dfKmdrHzt2rEqxQOVxSE9Pb9B2OTyB3eypTxVObXzwwQdQq9WNmivA4TQGg8GAhIQE+xzsykQ2UFEFVYlEIoGNURdf2MxVTLbbVAz74mvWEgSBSncVlRnYd63i7+AIklatQBUjl4h049wlYiFuIBLMbC/zqXslEeAjodFpXi6lEZwuIvDb6UZkbnspkYTKTSuNLjJPIuM3qFBApPiLwsxkAFARcUjwhPg76otAYwTQg8pg1hIE4bzpLmsJgvDbvv2Nfo2OHTtixYoVMBqNuHXrFrZt24aSkhIYjUbI5XJIJBJMmTIFX3zxBWbMmIE333wTYWFhSEpKwrx586BQKGAymWAwVL2XWLBggb3xbN++fSgoKKhi8V1SUnE9ZzQasXbtWvj7VziB/vWvf8WECRNw+PBh/Pbbb+jb19HhdMSIEejVqxeKi4tx4cIF7N+/H3q9/r7eg+LiYvzzn//EkCFD8Nhjj9W5/ptvvlll2dixYzFy5Eh8+eWXiIuLQ2hoaL23X5996dChA/r27YvDhw/jH//4ByZPngx3d3f8+uuv+PnnnwGg2mPAqR3R/IpbbTQC/g1h165d2L9/P1asWFGtjQOHIySVHdkajca+7MSJEwBg78pm1Y191vA6k+02FZPM9f/BdWWoJHbdiQRuI6SerCU4HROR4DQVyokETLykNBKed2w0HBJo9G8AKiI2qC3k4nfdOVmewVqCIGQTsSg2E3H14IgLD/GESmuHyEWCgsiOXrKKv+A/TFp7x6VYuGbKZy1BEPRErNKbAl9fXzz66KP2v0eOHInhw4cjNTUVy5YtAwBMnz4dRqMRy5cvx8SJEwEASqUSr7zyCvbv349z585VO7O6V69eDq/78ccfY8KECdixYwciIiIA/GF/3b9/f3vyGqhoRhs1ahROnDiBI0eOVElgR0RE2F8jNjYWAwYMwNixY2E0GvHiiy826D2YP38+DAYD3nnnnQY97148PT0xefJkfPDBBzh8+DDGjBkDAMjJyXFYTyaTOexnQ/YlISEB77//PrZt24atW7cCqOiQnzt3LjQaTYPnhnNElMDmOGI0GvHJJ5+gb9++CAsLw+3btx0eNxgMuH37Njw9PREYGMhIJYciKpUKI0aMwJ07d1hLsfOQMoS1hEbRiki3HJUbz1IilfBmufgDmqfKM1lLEISRylasJQiCRSr+zywAeBK5PbhiKWAtQRACiDhBUElg37WJ3wnCbKNRLNTPQiMIf1BG47eTygggKqWZCiJjY0JA4xrhhkX8iV0AiJSJPyliIFJQ3FkRwFqCIPgoaHSaOwNfX188+eSTSExMxJ07dxAeHg6JRIJZs2Zh2rRpuHLlCsxmM9q3bw9vb2+sXr0awcHB9UqejhgxAj/99BO2bt2KV199FQDQokULAEBwcNVjVmlXXlBQ9/11165d0bZtW6xbt65BCewLFy5gw4YNeOWVV1BcXIzi4mIAFaNzK7d9+/ZtBAQE1LmP4eHhAIC7d/9wAPhz4j0sLAz799feOV/Tvvj4+CAhIQHvvfcebty4ATc3N3Ts2NGem2vbtm0995pTCY0IFUEMBgPy8vJw+PDhaucTnz59GrGxsRg8eDASEhIYKORQRafTQavVok2bNsjPz4fJZEJkZCROnz6N8vLyKjYlQtBm8g7Bt9mUqCQjWEsQhD/PUhErVOYdUdhLJRG7utsS8SdUACCHgHUvAIBIwpNKskFJJLGrJ1L89aBU/Nb3tyR5rCUIwiFZKWsJgkAl2UClY1dGxBGLioV4CpHELpU4gplAiYmcRBQB2F10mbUEQWih8q97JU6NVFpRFxYWOixXqVTo2rWr/e9z584hLy/P3m1cF+XlFfGdexPS3bt3BwBkZFR1SsrMrGjcCAioX+GFwWCoV7L7XjIyMmCz2fD111/j66+rjtFcuXIlVq5ciQ8++ADPP/98ra9169YtAHBo6FyxYoXDOm5ubvXSVdu++Pv7O3RxHzx4EADw+OOP1+u1OX9A4yqbIO7u7li0aFG1j73++uuIjo7GzJkzG+T1z+E0FK1Wi+zs7CrLK5PYarUaycnJSElJQVkZOyvPmyuGMtt2U9CORvMjmZsVG5GkCgWMRNwRqNBO6s1agiC4EQlOq2S+rCUIQh4Rm+I0c2HdK4mAVJuetQSnY7GJPwAPAEVEvpupJj1rCYLwAJF5pVTuUx6QiL+TFQCuy2jcX5cTSOwCgDuBGdh3ifx29vFqw1qCIPhIaIzPawy5ubnVOufeuXMH+/btg7e3N9q1a1fj8w0GA+bNmwc3NzdMnTrVvry0tBQ2mw2eno6j/Ww2G3788UcAQI8ePezLe/XqhcjISBw4cAAZGRn2fJLZbMb69esBAE888YR9/ZycHHtn9r3s27cPqampVTqe6+LBBx+sNs917do1fPXVV4iLi0NsbCw6d+5s3z+ZTFYlEZ2Xl4dly5ZBqVSiX79+9uX32rP/mabYl9TUVCxduhRt27bFoEGD6lyf44hoEtg2PgPbAYVCUesXIiAggH9hOE1GdSdyoOKH8s/2IlqtFgaDAfn5+faZ10qlEgpFxYWLySR8tXOaxyHBt9mUPBlMo3qLygzsEiuNin8DgUBCeyUf0SEmAm3iDwoBQIFE/N9NAEi30uh+9JfWr3rc1XEj4njRQiH+pMp14926VxIB2RYacx+pXL9TQULkeF620fh+qggkPAEgz0rDLSpfKv6CBPHvYQVnDVW7XMWIj5zGOJXG8N133+H333/HY489Zre+vnHjBrZu3YrS0lJ8+umn9iTtyZMnsWDBAvTr1w8hISHIycnBli1bkJaWhs8++wxt2vxRGHH79m1MmDABsbGxaNOmDdRqNbKzs7F7925cuXIF/fr1w1//+lf7+lKpFB999BGmT5+OZ599FuPGjYOnpyd27tyJ8+fP49lnn0W3bt3s67/44ovw8fFBjx490LJlS5SWliIpKQl79uyBn58f3n777Qa9DyEhIdXmsY4ePQoAiIqKcnj89u3bmDp1KgYMGIBWrVrBx8cHN2/exObNm1FQUID33nsPISH1Gyfa0H1ZtmwZzpw5g+7du8PX1xc3btzAxo0boVQqsWjRIiiVygbtO0dECWwOh8OO6mZg/JnKxHV2djYSExPtyyqtwxUKBfLy2FgG+hv+zWS7TUX3yE9ZS+BwONVw05TPWoIgBMho3HhaacT4yFBGxCEhl0Y9AoLknnWvJALOlaWzluB0PGQ0ii68iRSXeBKYycoRH7kWGkVuVMYdeUtpdHm6EzieVMYYdFDVL7Hm6lBxaWkMTzzxBLKysrBnzx7k5eXBbDYjODgY/fv3xwsvvOBgFR4SEgI/Pz+sXbsWer0ePj4+iImJQUJCgr0z+d51R4wYgZMnT2Lfvn0oLi6Gt7c3oqOj8dFHH2H06NGQ/qko5pFHHkFiYiK++uorLF++HAaDAW3atMF7772H8ePHO6w7ZswY7N27Fz///DP0ej1kMhnCwsIwYcIETJ06td7J4/slMDAQffv2xcmTJ/Hvf/8bZWVl8PPzQ0xMDOLj49G7d+96v1ZD96VDhw44cOAAli5dipKSEgQHB2P48OF4+eWXa2wA5NSO+H/dOFW4fJnGLA1O88JgMCAhIQEajcYhmd2jRw+cPn0aViu7CKu7dR6zbTcFZhpObpATmQ1NBQ8CFf9mG425j2EyGokjCxHbzHIi9r1UZkNbCLhdAECmiYaFeFuV+IMeaUY9awmC0EZGYyzFRRONmeaechpjKUIlKtYSBCFC7s5agiBcstL47Swi4nBmJRAuIbCLAIB0Ite1scpw1hKaPY8++mit9tb3Eh4ejm+//bZe6/r7++O9995rsJ5u3bph2bJlda43btw4jBs3rsGv31AeeuihavNcQUFBmD9/fpNso6H70q9fPwd7ck7j4QlsDocjKCqVCikpKUhMTERcXBzS09OZdl8DwBS4dpfkb5IA1hIEgVsQigsrgWQg/8yKi2IiHbs5RGxt2xBJNqQROZ7FZgNrCYJQTiAI38mNRtdRtpXGZ7bMSmNeKRUybDQ+t/lEvp8KIunAcpv4fzsBwBvi7zSXEfnMDlWEsZYgCPvNOawlcDgcF4AnsDkcjlNRqVTQaDTIzs4GAOh0Omi1Wmg0GgQFBUGtVuPQIbYzqH+Amun2G0s0gURgBTwZKCZKiXQnc8QDlQ7sQCKW8FSg0uWZChpdnhSgUOAG0LB65YgPOZH7MT8iFv9Xy3NZSxAEBRHXnRA+skE0nAWNAtQQIk5unJopKiqCwVB70ZhMJoO/v79AijjNEdHcNdlo3OdyOC6HTqcDAAfr8Pz8fJw/f96+jr+/P9MO7GvfuLat/iBbB9YSBEEioXGidycyo+v3klusJTgdfyUPIogJD/FcNteKO5EgX4qlmLUEQfAgkiTr69GKtQRBKCHgBPEgaAQzL4DGjN1nlDS+m1SOp5lIgYmESKI+TOnHWoIgtJXSKOYzERgbk2ktYy1BELwlStYSBIHKfSenZubOnYstW7bUuk5YWBj2798vkCJOc4RGRIPD4TQLKudgx8TEOCxnmbwGgLCZq5huv7E8+Klrz/DmOFJCxGrxKa92rCU4nVPGLNYSBCHSRqNL5a6EhmsADWM+oIPMh7UEQcgnYpt5w1zAWoIg5JiLWEtwOia3YNYSBMENNIK2pyD+zyxA53jaiCSwC4ncj1FxvNATuRaikAwMltKYT0/F+SvNSqPTnFMz06ZNw7Bhw2pdx82NRryJUzM8gc3hcJqcyk7rSttw4I/Z1wDQr18/JCQk2NdjbSHubnXtBDCVi1spkf30lNKotk02id/u1UbEHiZFUs5agiAUEAl+UenYpYJUQqOLzF9GI6CZaRJ/or6MQJc5ACgkNMqFpEQ6WakkAqkgJ/L99CXS5XmXSNfuQ1LxW+xeB41jWUzkvrO9lEZBMadmoqKiEBUVxVoGp5nDI1QcDqfJqey01mg09mU6nc5uI56dne1gJ96vX78qtuKc+hOlcO0Z3vUlxVzIWoIgGIgEbt0IVIhLiCSOqHRgnwONQILeSqMgwYdI0NZIwE4SAJJK01hLEASFVPy/nVRmQ1NJYOdbaFhrBxDpCqSCish5KEhC4xpeJRP/bycAnLSKv8ityFr7rFyxYCFSCN+RiL0/h8NpHKK5KrPaaASJORxXprILOzIyEkePHoVcLmduHw4AU5DPWkKj+M1MIwBGpYODyn5yOK6GF5FgZp6NhlV6OpEZ2FTwU9CYm5xvEv/nNp9IcNpNSuMz6ylVsJYgCJ1AI4F9BuI/BwGAG5H7sWtWGhb/5VYaBeIp5XdZS3A6Hd1DWUsQhDwixV8XrTSaVDgcTuOgEYnjcDgOqFQqe3f0vTbfzkan0yE+Ph6nT5+2W+v6+/szT2L/ANfuYG5DJNlApVPFSKQDu4sihLUEp3PMkM5agiD8z8q+EEkI9ESSKlQwEQlmRipd+xqnvhQRcQ7o4N6CtQSn04JIJ2u5jYY7ApVZwhekNJINVEZXhUhUrCUIgpnI8ZRJacQRHvZoxVqC0/Eg4OIGAG5EYl9dwDuwORxO3fAENodDEJ1OZ///vTbfQhAa+kfFpFqtRnJyMvMktqt3YKcq2rCWIAh3zDQqxGWgcbNCARmRG88wGY0uMirHU0HkHKSX0ChIMBFJkoXIaQTAbhvF310VoYpgLUEYaDR4orPMj7UEQcix0UjU07hCAJJMuawlCIKfjEbBkAcRFyU5gfFV3kTSGNeJdCZfk9I4nhwOp3HwMwWHwxGUyuR55QzsgIAA6PV6+Pv7o7i4GEaj8Df/rt6B/SSR+ThWIhXiXjIas8jSrOLvVKEyA5sKnhIaNqilRFwg1ESCtllmGnavVI5ntFsQawlOJ9dGo5ueSocnh+OK9FAEspYgCLlkCi9o3JP5Qfz3KjT6r+k0NQRJlKwlcDgcF4AnsDkcDhPuTWSXlJQgOjoa+fn5UKvVOHToEGN1rsVtcwFrCYIgI5IMpHKDHSb1YC3B6WTaaFROU6EFkWRDDmgkj+4SsYRvK/djLUEQim0m1hIEQUkgdJtNoMANAHxl4k80AEAaEXt/dyIdnjQ8PehYa1OxhC8hco0QJhF/ITyNTywdh7Mi0Cic5nA4jUM0V9k2G42AP4fTHPnzTO3g4GAAQHJysn15XUnpO3fuOFdkLbi6hfhhiT9rCYJApQq1lYyGDSqFRL2UiOU0FW5YaXSyKoh8bs02C2sJgnDVRGNGfSgRC3EK3DXRONd2lrm2A1R9CZDSSNT72Gj8dp4Bje/nLSLXfGFSIkkyIp3m120lrCU4nV7wYS1BEP5rSmctQRAC5TTOQY2lQ4cONT62Y8cOREdH2/++dOkSFi9ejOPHj6OkpARhYWEYNmwYpk+fDqXyj4738vJybN++HQcPHsSlS5eQnZ0NtVqN6OhoTJ06FQ8//LDDdjZv3gytVlurzjVr1qBXr14AgIsXL2LXrl04cuQI7ty5A6PRiPDwcAwYMABTpkyBj0/Dv8slJSVYsWIFLl68iOTkZKSnpyMyMhJ79+6t8TllZWVYsmQJfvnlF3u+Ii4uDjNmzIC7e/0dvBpyDDhNj2gS2BwOhx01zdQOCAhAQkICgIpO64yMDKjVfwRr8vPzcf78eeGE1oCrW4hHEbEQl0ho7CdHPNiI1Ii3som/2h8A0kGjK5DIx5YMQXIv1hIEgUp3VTloFF5QgMo1Qh6Rz2wqkS4yKp9bFZGOehplF3TGALkRcGmh4o7gRuQcVG6l8dvZFMTExODZZ5+tsjw0NNT+/xMnTmDy5MmQy+UYP348wsPDcebMGXz11Vc4e/Ysvv32W/uYuzt37uDdd99Fjx49MGLECLRo0QKZmZlYt24dXnjhBfz973/H9OnT7a/du3dvzJ8/v8r2y8rK8MEHHyAgIABdu3a1L1+6dCl+++03DBgwAKNGjYJEIsGRI0fwzTffYPv27di4cSMCAgIa9B7k5+fjq6++QkBAADp16gS9Xl/r+haLBS+++CKOHTuG4cOHo3fv3rh06RKWL1+Os2fPYsWKFZBK6/9LWJ9jwHEONM6IHA5HULKzswEAkZGR9oT2zZs3kZ2dDZvNBpOpeQUZr31zmbWERvGSvA9rCYJwx1LEWoIgULFyC4X45x1ZbDSMFml8YgEzkePpJhF/8AsALESMUMuJzDTXW8pYSxCEYAIFCe3cGhbMclUKiCQ8z5VnsZYgCB2V4p9PDwASAg5KAOBLJHkkI3I8KTh/ATQ6zc9LaFy/d1C4dpNNfaEwt72piIiIwPDhw2td55NPPoHJZMKqVavQs2dPAMDYsWPRpk0bLFy4EDt37sTQoUMBAP7+/ti8eTM6d+7s8BrPPvsshg4dikWLFuHZZ5+Fr6+vffsRERFVtrlx40bYbDaMGjUKCsUfx3PChAnQ6XRQqf4YwzZu3DgsXLgQ3333HZYvX4633nqrQe9BcHAw/vvf/9oTxk8++WSt62/ZsgXHjh3DxIkT8e6779qXh4WF4bPPPsP27dsxYsSIem+/PseA4xxoXJVxOJwmQ6VSISUlpdZ1cnJyADh2Zmu1WhQWFkIulyMvr3nZWbrPzmYtoVGkBtOYs0vFQtyDQOU0AByx3GUtwenIiFgxp0hozLeMlvmyliAIKiLn2nNEErtULOGpdKqoCBSYXC8X//UBAPgTsc2kkjiiApUO7CIirh7BEvEXFANw8YFx9cdAYDxOoZXGfecdAscSANSy+ls4cwCTyYTy8nJ4eVUtaC0oKEBycjLatGljT15XMnLkSCxcuBCbNm2yJ7DVarWDQ2olwcHB6N27N/bu3YubN2+ie/futWrauHEjJBIJxowZ47C80kr8zwwePBjfffcdLl9ueCOZUqlsULfztm3bAACTJ092WD5u3DgsWrQIW7dubVACG6j9GHCch2ju9K18BjaHIwg6nc7BJrwhREZGQq1WIz8/H5mZmcjNzW1idfdHwHY9awmNouu0YawlcJqQE0YanSoPEuhUyTOLfw4ZQMdC/CJoHM9iIondCBmN5FEpkQAYkdovlBNwgqi0NhQ7gTIP1hIEwUok4UklUd9SQiPZUEzE+v6GjcZ4HCqFFz5S8RckSEHjvpNCwSIApFmKWUsQhAEDBtT6+L59++p8jT179mD79u2wWCzw9vZG//798cYbbyA8PBwAYDRWODBUN9e5cllSUhJsNlud19pZWRUxybosvq9cuYKkpCQ8/PDDiIyMrHMf7n3twMDAeq1/v9hsNpw7dw7BwcEICwtzeEylUqFTp044d+5cg16zrmPAcR6iSWBzOJzmjcFgwMqVKwFUdGM3h9nXldwd5sdaQqN4PKgfawmCQGUGtruUho3SJVPzcmJwBm5EjuVtIh3YSiIZsg5EgtOZNhqfWxMRq3QqNqgU5niGyL1ZSxAEKp9ZP6mq7pVEAJVEfbqNxriGDDONpAqV+06bjcb3s6vcn7UEp3PNSuO7mW2hUTgdKqPRxZqFxrlmdunSBU8//TRat24No9GIkydPYuPGjTh06BDWrFmDdu3aITAwEGq1GtevX0dOTg6Cgv5oGDl69CgAoLS0FAUFBfDz86txW/v378fZs2fRp0+fai3D72XDhg0AgOeee65e+2E2m7FkyRIAFV3hzkSv16OsrAzt27ev9vGQkBCcPn0axcXF9eqmrs8x4DgPnsDmcDhOQavVwmAw2P+unIsNVHRxV9qLa7VanD59GuXl5SgqYjPj+L3SLky221S0ifJjLUEQ7phpzMCmEgCTEeiwKrfS6GSl0oF9nkgHdhZoJHYziFT8U5n1nV6uZy1BEBRS8RfSxLjT6GLItNDofMw0FbCWIAgPurVgLYHThHRQiD8RCAA3zHrWEgShnIgbTQHEf+9ZZDXUvZII6CKvvfNVLFy10BiHWJ8O69rYtGmTw99DhgxB//798eKLL2LevHlYvnw5JBIJpkyZgi+++AIzZszAm2++ibCwMCQlJWHevHlQKBQwmUwOcfo/c+3aNbz99tvw9fXFvHnzatVkNBqxY8cOqNVqPPXUU/Xajw8//BBJSUmYNGkSHn744Xo9536p3E+lsnpnCje3ihhWWVlZvRLY9TkGHOfBE9gcDscpGAwGJCQk2P/WaDQOSe1Dhw6xklaFjz2aTzf4/fBUsHOtV5oLVCwlQ6U0bG1vmMQ/jYyKXR2VDuwo0LB7TSeSwI4hEhgyETkPFVtofG4NVvHPZY2x0HCB2GyjEbRtqfBlLUEQgojMEqYyl/UOkSK3UgK/KQDgLSVSbGvMYS3B6VBxaUkyNY9xi87GTKTQ1hk8/vjj6NatG44cOYLy8nK4ublh+vTpMBqNWL58OSZOnAigIoH7yiuvYP/+/Th37lyNydobN24gPj4eVqsVy5cvr7P7es+ePdDr9Zg8eXKNSeJ70el02LBhA4YMGYJ//OMfDd/hBqJSVTgAVVqr/5ny8op7x0p7db1eD5PJ8TfR398fMlnNxcPVHQOOcxBNAptGaIbDcV1UKhVSUlKQmJgIrVaLfv36NZsk9h19NGsJjcLUnkYgQQYpawmCQKUrUEFgrpOFwKxSSnjbaJyDqMxcKyESMNHbaASnWyvVrCUIAoVRBtck4u8gAwAfK40gVxqRDuwAKY3CCyoES2kULVIYSwHQcP4CACWBa/hiK42CxXAiifocK42xFM4iPDwcSUlJ0Ov1CAkJgUQiwaxZszBt2jRcuXIFZrMZ7du3h7e3N1avXo3g4OBqE9jXrl1DfHw8ysvLsWLFCnTt2rXObVfah48ZM6bOdT/55BOsXr0aw4YNw6efflprUrip8PPzg7u7OzIzM6t9PCsrC15eXvb349VXX8WxY8cc1tm3b1+d863/fAw4zkE0CWwOh9O80el00Gq10Gg0yM7ORmRkJLp06QK1Wo2kpCTI5XLk5bGZiTv2pWN1r9SMcZc6d3YIR1ikRGYiZhrFH9D0ldMIflHhRCNnV7kK5VYaid2HJTS6Ak0SGsczjciYEU+p+Ls8rxhpdB15y2jMhjYR6djliAsq4zfyiSSPWspoJAP1BFyUqDicZRMZM+JF4LrWmdy6dQsKhQJqtWMhr0qlckhCnzt3Dnl5edUmm69cuYL4+HhYLBasXLkSnTt3rnO7t2/fxrFjxxATE1Pr7GebzYaPPvoIa9aswahRozB37lxIpcI0BUgkEnTp0gXHjx9HWloawsLC7I8ZDAYkJyejR48e9mVvv/02Cgsd4z33zhGviZqOAadp4QlsDocjGPfOvU5JSUFkZCQMBgMiIyMBAJ07d0Z+fj7OnxfW0vuJFX0F3V5T81trGjaoVBK7IFIhTiG5S2WeOZUZ2HROQTR2NNlGI2gbABqBISrXCBIC+0nltzPHRKPoQiWl0eHJERelNhpOEFQSu1QwEygYouLKJyfQTQ8AGUQKUBtDfn5+tcnRnTt34sKFC3jiiSdqtfA2GAyYN28e3NzcMHXqVIfHLl26hPj4eADAqlWr0LFjx3pp2rhxI4Dau69tNhvef/99rF+/Hs899xw+/PBDweMMw4cPx/Hjx7FixQq8++679uVr166FwWDA8OHD7cu6dOlS4+s09hhwGg9PYHM4nCZHKpUiOzu71nXu3r2Ly5cvC6Sodn6Aa1dKtSNiU0zF+kstpdGRU0Zg5lqZtfp5O2Ljdysb9wyh8SEyP48K2ZYS1hIEQU+ks4FKB4eHRPy371TGb/Rxr92SUCzkE7F7pQKV7kdvIjPNW0lo3HemE+hMBoC/yINZS3A6Z600HLGyiCR2BytoXAs1hm+++QanTp3Cww8/jNDQUJhMJpw6dQq//vorgoKCMGfOHPu6J0+exIIFC9CvXz+EhIQgJycHW7ZsQVpaGj777DO0adPGvm56ejpeeOEF6PV6vPjii7h8+XKVGP1f/vIXBAYGOiwzmUzYsmULfH198de//rVG3fPnz8f69evRpk0b9OzZE9u3b3d4PDAwEH/5y18a/H789NNP9k7poqIiSKVSfP311wAAHx8fTJgwwb7uqFGjsHXrVqxevRpFRUWIiYnB5cuXsWbNGvTp0wfDhg2r1zYbcgw4zkH8d8AcDkdwOnXqVO1yrVYLg8HQbGZfV3Ltm+aRSL9fBsK1Z3jXFxmBriMAUEtoJMlKZeLvbKCSwH5U6s9agiD8z5bPWoIgUAnaUoHKrMBOchrnIRWBzqOLrAUIBJXr2hKb+AsWAcCdQHEJAAQTSXiaiCTqM0DjXqWYSEf9HQI/KxQK+QDAh8iYkVwJje9mY3jooYdw48YN7NixA/n5+bDZbAgLC0N8fDymT5+OgIA/HDlDQkLg5+eHtWvXQq/Xw8fHBzExMUhISKhiDZ6amgq9Xg8A+P7776vd9o8//lglgX3gwAHk5uZi4sSJcHOrOXZZ6ax68+ZNvP3221Ue79Onz30lsH/44QekpaU5LFu0aBEAICwszCGBLZPJ8P3332PJkiX497//jV27diEoKAiTJ0/GzJkz6z2LuyHHgOMcRHPmt9oI/FJzOC5KZeI6OzsbiYmJzS6RbdO+zlpCo1D57WUtQRCo2Nq6EQhOA8DVsizWEpxOgIKGLR+NEB+dgAmNMxAQRsQ200RkjmcpxG+bCQCeEL+lZEc38XeQAcA1s561BEEoshhYSxCEYKX4R+MAQI6NRlEUlbEUSiJXfUYC1toAUEygeJrKsXQnMn7jvPkuawnNngEDBmDAgAH1Wjc8PBzffvttvdZ96KGH7ssVNTY2tl7PW716dYNfuz7s37+/Qet7enrirbfewltvvXXf22zIMeA4BxqROA6HwxSDwYCEhAQMGjQIGo0G+fkVXWyBgYGwWq3Iy2NrP6vTr2W6/cYSHtWm7pVEQJqlmLUEDqdBUJnjmSKhEcxU2GgE+cxEPrfiTwNWUGQTfzATAHItNDo48ghYpecSsfdXESmK4nBcET0R9xJvIkkyfyJjgHwg/uN53kxjdBUVB6VWcl/WEjgcjgvA75o4HI5TUKlU0Gg0AGCfhx0QEICEhAQAFV3ZwB+2IjKZDFKpFCYTDZu5puS2uYC1BEGQEakQp7GXQHv3ENYSnE6OmRddiIlsSylrCYLgJqVxe2CR0EjUU3EOKCLSFaiWiP8qwWChUXThJqdSRsMRE1RmYFP57XQnEhLOspaxliAIeQRmfcfIaVj17jbcZi1BEAJlNNxLODVTUlKC0tK64yxBQUECqOE0V2hcrXA4HMHR6XT2/1cmsiMjIxETE1Pt+haLBRYLGzugH6Bmst2mop2NRiBBQiTZcMSYyVqCILgRCAxZbDSse1vZaHQ13KXSvUGgwxMAQkBjP4uIWGuXymh0YHeQeLGW4HQkbjSse0OJzBK+JKFRaEuFPvBhLUEQ8qU0ruFv2GgUZ4ZI3VlLEAQDAXvtY+Zc1hIEwV/uyVqCILSW0NhPTs388MMPWLx4cZ3r3Y/dOUc8iCZ6bOMzsDmcZk3l3OtK23AAzK3DOa4FlYp/KpaSHRT+rCU4ndPlNIoRbhOxEG8hoRH88hfP7UGt/G7OYS1BEPykNJJkbkRM4S/bxO/sEUwksXvTSsMqPZeIG02gksY1whEUspYgCG1BI6miktD47fQmcm1bBPG7GUbL/VhLEIQSAsUIAJBFxEGJUzMjRoxAr169WMvgNHNo/IpzOBymqFQqpKSkIDExERqNxm4jDgDjx49HYmIitFot9u7dy1Cl60KlfEdCZE8NNvHfeFJBIqHxmfUgkjhKtdLoUimWiH9+HgAoiRQLyYich6hcI1BI1OcQCWYaiQSnpUS+m3T2kwZ6AolAALhrNbCWIAh3WQsQiBYEOs31RGIlCjJnWw51IiIiEBERwVoGp5lDI3LD4XCYotPpoNVqodFo7POwK6nNVpxTP2j0JdPpwKZCJoFZZDYi9v6BNhqXkz5Sb9YSBCEPNKyY79ho7KcMNKzvqYT5rASuha6U03BHUMtpzH2k8JkF6OwnFah07JYQKVqkYQgPlBMZX0WBFDON8RsD5S1YS+BwOC4AjasyDofDnMqZ2Fqt1p6wViqVzSLBMwX5rCU0isMS8VsxA3S6qzyJzJ8tIlDxT6UDO4WIhTgPCokLtUz8XSoAnQ6OayYaY2mC5OKfgU2lk9WdSOKoGDSuEah8bqlwwkSjkCZQRqOQJp9A4TQAyAlYwluI3I91VwSyliAIV2w0vpscDqdxiCaBTeMnjMNxfXQ6nb0j+8iRI+jevTvy8/OhVqtx8+ZN3Llzh7VEl4NKYpdKYKiUiC1Wapn4A0OhKhrFJVTIJ2JrW2gRf3EJALgTKRaySdgXCgqBu5RGMtBXIv7PrYdbEGsJgnDBkMlagiCoiHw3OeLiIUUwawmCcMlKY6Z5uMyHtQRByLAUs5bgdKjEhC5ZaHRgexG5H+NwOI1DNAlsDofTPKicd10XOp0O48ePh0qlglqtBgBmyeuPPc4z2W5T8WTw46wlCAKVblZPAsFpAIjyEL9dVInVyFoCpwmJkHqyliAI6UQCQ0FSFWsJgpBOZHY7lXnCpQQs/g1E7P37uIezliAIJw3prCVwmhAqhdOZRIoWQ6VEOrCJHM9OcjVrCU7nvJnGRHMvIjGhIAmNUUccDqdx8AQ2h8NpUnQ6HTQaTb3WjYyMREZGBtRqNQ4dOuRkZTUTVtqP2babgnataHhQUJmBXWql0YHtJhH/JUhzGJEgBJE2Gjeel0AjEegvpXE871ppBDOpJHY54qGjlEan3HWr+DvlACBCKf6ECiWo3I8pJTTGbxQScf6iMk4lzyb+4mkqRTRlRIr5QkAjUc/hcBqH+KPHHA5HcJKTk+1zrl2Bq36DWEtoFCPV+1hL4DQhFiJ2r90IzHWSEbnBTiEy3/KOiYbNIhW8ZDQS9VRmBeYYaXw/C8ziL6RJIWI57S2j4QKhJ/CZBQA/txDWEgSBSvLotCGDtQRBMBJJknnL3FlLEIQyAu5fHd1o2PtTGTOyCfmsJQjCR418fnFxMZYuXYpff/0VaWlpUKlUaNWqFSZMmIDhw4cDADZv3gytVlvt8zt37ozNmzdXWb5x40asXbsW169fh0wmQ+fOnfHSSy+hb9++1b7Or7/+imXLluHKlStQKBTo1asX/va3vyE6OtphvWPHjmHPnj04fvw40tMrnHgiIyMxdOhQPP/881CpGn4NfPbsWSxbtgyXLl1Cbm4urFYrQkND8dhjj2HKlCkICal6HZafn48vv/wS+/btg16vR1hYGEaPHo3JkydDLq9fSvTixYvYtWsXjhw5gjt37sBoNCI8PBwDBgzAlClT4OPjWHh7P8eBUzc8gc3hcJocq9WKEydOVPuYVquFwWCwd1wrlUoYjWwvtHX6tUy331gsrcWfCAToWIh3VNCYm2yC+JMqR41ZrCUIQjcljUBCoJyGhTgV54BSIkFbKnbMLZS+rCUIQpRC/N2sKiKdctk2A2sJglBkobGfHHHRQkHDCYLK/FkVZKwlCEIZgTEjbSVEbO+VfqwlCIKnhEbRYmPIysrCpEmTkJ+fj5EjRyIqKgplZWW4deuWPTl8Ly+//DLatm3rsMzPz6/Keh9++CHWrFmDBx54AG+88QYAYPv27Zg2bRoWLlyIwYMHO6y/ceNGvPvuu4iOjsbf//53lJeX46effsLYsWOxdu1adOjQwb7u559/jvT0dAwcOBDjxo2DyWTCvn378Omnn2LHjh1Yu3Yt3NwaVkx+69YtlJSUIC4uDkFBQZBKpbh8+TLWr1+PnTt3YvPmzQ5J7OLiYkyYMAE3b97EuHHj0KFDBxw/fhyff/45bty4AZ1OV6/tLl26FL/99hsGDBiAUaNGQSKR4MiRI/jmm2+wfft2bNy4EQEBAVWeV9/jwKkfoklg24hUgnI4rkhl0hoAzpw5g+7du6Nfv35ITk5GSUkJY3WuPwP7sSDXtkCvL1S6Wd2IBG6PGsXf2UAlEZhmYX8eFwKlhEbw6wEi9r2pRJJHVCzh84hYwh8ru8NagtMZ6N6atQRBSDbQKHILV9IozKQCFQtxGRELcSqJXQWR4+lGwI45k4jzl1pKw6XFSuQ3pTG89dZbKCkpwbZt2xAaGlrn+o8++igeeuihWte5dOkS1qxZg+joaGzYsAEKRUUhwYQJEzBq1Ch8+OGHeOyxx+Dl5QUAKCgowKeffooWLVpg7dq19uV//etfERcXh7lz5+LHH3+0v/7s2bPRq1cvhy7niRMnYvbs2di5cyd+/vlnjB8/vkHvw7BhwzBs2LAqy3v37g2NRoONGzdi1qxZ9uXLly/HtWvX8I9//AOTJ08GAIwZMwbe3t746aefMGrUKPTu3bvO7U6YMAE6nc6ha3zcuHFYuHAhvvvuOyxfvhxvvfVWlefV5zhw6o9oEtgcDqf5YjAYkJCQAAAYP348VCoVDAYDVCoVCgvZWz66/gxs1go4TQmVi/ieSvFbLR4zVK2IFSOhMhqdySVEOllLCbgjAEC2lYatLZXflLRyGhaEFJIq+w0prCUIQh/3cNYSBCGpnEaiPkBJJdlAAxOR8Rs2GvXhyLaWsZYgCMFS8Vull9osrCUIQhGBeeYA0E/Ci9xq4+TJkzhy5Ai0Wi1CQ0NhsVhgMBjg6Vl7/KWkpAQKhQJKZfVFLUeOHAEADB061J68BgCFQoEhQ4Zg4cKF2Ldvn92efN++fSguLsbkyZPtyWsAaNmyJZ5++mls2bIFGRkZ9gR7TYnbwYMHY+fOnbh8+XL934Q6CA+vuJ4uKipyWL5t2za4u7vj+eefd1g+efJk/PTTT9i6dWu9Eti9evWqdvngwYPx3Xff1bovdR0HTv3hCWwOh+MU7u26zs7Oti+PjIxERkYG1Go17txpHl0krm7zO1HSgrUEQZAR6Uz2IFIJf9CYxlqC0+muovHdpPHNBEpsJtYSBOEWkUQ9Fcs6KvsZ4C7+oC0A+BE4nlSKv6i4l7QiYHsPAFIiTlFUrvnMRJJkBUSSZFTwh/ivEYpA434sTEqjQPw/5uy6VxIB/xkwoNbH9+3bV+3ygwcPAqiIo7/66qs4cOAATCYTgoKCMG7cOLz00kuQyRzjhzNmzEBxcTEAoFWrVhgzZkyVmc+VYzyrm0VduSwpKcmewE5KSgIA9OjRo8r6PXr0wJYtW3Du3Lk6O8Szsipi74GB9z8Gs6ysDGVlZSgvL8e1a9fwxRdfAAD69+9vXyc3NxdpaWno0aNHlX0MDw9HUFAQzp49e98agLr3pT7HgVN/+LvG4XCcwr1d11qtFhqNBvn5+VCr1VCrm1cgo6tqEWsJjaI7PmUtgdOEFBCYXQUAvZXiT+7qiSQ8PYhYa1uIdONIiBzPlgS6VAAgh4hVepq5qO6VREAygXnCciLnoGgZjbntaUTcLqggIZKoNxJJYBss/PspJnII2E73hDdrCYLwfdE51hIEoaWq6uxgMaK6z9/O69evAwDmzJmD8PBwfPLJJwCAtWvXYtGiRcjIyMDHH39csQ2VCn/961/x6KOPIigoCFlZWdi2bRs+//xznDx5El9//TWk0ooytKioKAAVndiTJk1y2ObRo0cBwGG+dmWytkWLqjG8ymWZmZm17ktxcTGWLVsGhUKBoUOHNuyNuIdly5Zh8eLF9r/Dw8Px2Wef4ZFHHrEvq9RSnd7K5Skp9+/4ZDabsWTJEgDAyJEjHR5ryHHg1B/RJLCtNNzxOByXRKfTAXDsyj506BBLSQ7MtL7JWkKjOAwatjs0Ukd0ZsvtKb7OWoLT6evVhrUEQYi00Zixq5fS6FJREnGByLXRmKEXJvFgLUEQSmU0ir+8Ccw0zzHRKEZItdLowE4zFbCWIAjRyvvvJnIlqNyn+MloFLl1k/qwliAIt4kU8wUQ6MC+JaFx/d7VM4K1BEFoRaTT/F/71t/X80pKKq4V3d3dkZiYaLeiHjx4MOLi4rBx40ZMnjwZbdu2xeDBgzF48GCH5z/33HOYPXs2du3ahX//+9+Ii4sDADz22GOIjo7Gvn37MH/+fDzzzDMAgM2bN+P//u//AMAeuwcqup4BVGuFXbns3vX/jNlshkajQVpaGrRaLdq0uf842YgRI9CrVy8UFxfjwoUL2L9/P/R6vcM6lVpqsu52c3Oz79P98OGHHyIpKQmTJk3Cww8/7PBYQ44Dp/6IJoHN4XCaPzqdzp7E7tevX7NJYi+RLmAtoVFQ6cCmYs1308x+LrwQUJjjSWV+XgqRQEIYaCQCqQSnTUT2U/xn2grKrDQcLzyl4p+hJpHQuN6jcl1rItLJSuV4UiFK6lX3SiLgnJXGfSeV7+dts/gLhqRErhGCZDQSu1ctNM5B90ul/fXQoUMdkrFKpRJDhw7FkiVLcPToUbRt27ba50skEsycORO7du3CgQMH7IlTuVyOpUuX4p133sHy5cuxfPlyABVW5R988AHmzJnjMOva/f+Paqq0Hr+X2uzIgYrk9ezZs/F///d/mDZtGuLj4xv4LjgSERGBiIiKAo/Y2FgMGDAAY8eOhdFoxIsvvuigpTq9AFBeXm7fJwDIy8uDxeJ4vRoUFFTtc3U6HTZs2IAhQ4bgH//4R70013QcOPWHJ7A5HI5gaLVapKSkIDEx0eHvyMhIGAwGJCUlQS6XIy8vT1BdvAPbVaBxs1JKxHY6QCl++69HrDRuPJNkNLoabliLWUsQBDcCxSUAHRvUYisN5wAqdq/Z5bmsJTidMGXzGjXkLK6U05j7SMUSniMuconMhqaS2FUTcC8BABMBzzoZkc8sFfyIfDfvl0oL7OqSqZXLCgpqL1ypTPb+Oc7eokUL/PDDD8jKykJqaiq8vLzQoUMHewd2u3bt7OuGhIQAqLDmvnd55bJ7td6LyWTC7NmzsWfPHrz00kv429/+VqvW+6Fr165o27Yt1q1bZ09g12VrnpmZad8nABg9ejTS0tIc1rl8+XKV533yySdYvXo1hg0bhk8//bTK/PHaqOk4cOoHT2BzOBzBMBgMCA4OtndhnzlzBm5ubkhPT0dRETu7wB/g2oGyx2U0KsQzLFSSRzQCfR3krv29qw9HbTTmykXbaNgsqqQ0vps5RKy1W0tofG6LZDQCQ+eJJOqDFeK3e80nMpO1iyqUtQRBSC7PYi1BEKxEXD3Enx6rwELkePoRcPUA6LgLRUvFXyCeSeQ+hUqivpVE/HPbG0P37t2xdu1aZGRkVHmsMjkbEFD7HPGbN28CAAIDqx91EhIS4pDMPXjwIIAKm/FKunbtinXr1uH06dP4y1/+4vD8M2fOAAAefPBBh+VGoxFvvPEG9u3bh1mzZuHVV1+tVWdjMBgMDon8wMBAtGzZEpcuXYLBYHDoDk9LS0NOTg4ef/xx+7IFCxagvLzmc4vNZsNHH32ENWvWYNSoUZg7d26D51jXdRw4tcMT2BwOR1BUKpW9Czs+Ph5qdUUSKz8/H+fPn2eiKc2jeViZ3y99g/qyliAICiJdgSVEgvClBLrlFEQsziQ0YkKItIl/rhwAqIicawsh/nMQAPgRud3TE0l6ehDoVDFaacwzzyJSmMk7sDmuSCqRkU6t5b6sJQiCgcg1n5lAop5KYldF5LfzOpGC//tlwIAB8PHxwbZt2/DKK6/Ybb1LSkqwZcsWKBQK9O1bEQ/Oz8+3x9crMZvNWLhwIQDgqaeeqnN7Z8+excaNG/HQQw+hV69e9uVPPfUU5s6di40bNyI+Pt6uIz09Hbt370afPn0QGvpHYabRaMRrr72GAwcOQKPR4OWXX27cGwEgJyen2k70ffv2ITU11f4+VDJs2DB8++23WLt2LSZPnmxfvmLFCgDA8OHD7cvu3dc/Y7PZ8P7772P9+vV47rnn8OGHH9Y67qgpjgOnKqKJaFiJ/IhxOK5O5RzsmJgY1lLsvFfahbWERqFsTePilozFmYzGnN18AtXTQbyiWFScBI1kg4FI8kglEc1tUK0YJDSCtlSgMB9aRqSIhsoYAyrX71T2k0rySE7kPJRUXrWrT4z4y2mMdQoh4MxHJbF7urx662OxEaagUURzv3h7e2POnDl4++23MXr0aIwePRoSiQSbNm1CVlYWNBqNPXE8dOhQ9OrVC9HR0QgODkZWVhZ++eUXXL9+HXFxcRg4cKDDa8+dOxf5+fno0qULPD09cf78eWzZsgUtW7bEggULHNb19fXFW2+9hffffx/PP/88nnvuORiNRvz0008AgDlz5jis//e//x0HDhxAz549ERoaim3btjk8HhkZiR49ejTovXjxxRfh4+ODHj16oGXLligtLUVSUhL27NkDPz8/vP322w7rT58+HXv27MGCBQuQlpaGDh064Pjx49i2bRuGDx+OPn361Gu78+fPx/r169GmTRv07NkT27dvd3g8MDDQoSu9oceBUz9oRG44HE6zQqfT2RPZld3Ylbbi93Zie3t7C2ItvkS6oO6VmjHd8SlrCZwmxI1IUqWlVPz2vSYCVfAAcFsi/mIEACi00NhPKvagVBLYN821z0UTCyoiNqjeBDqww+Xit0kH6MynZzckiuMMqFgx+xA41wKAVE6jIEFJJOkZIBH/tVAJkW76CIUfawmCkEnEjaYxjBgxAmq1GkuXLsWSJUtgtVoRHR2NhQsXIi4uzr7e0KFDcezYMRw5cgTFxcVwd3dHhw4doNPpMHLkyCpFsF26dMHq1atx8OBBGAwGhIWFYfLkyZg+fbq9w/pexo4dCz8/PyxfvhwLFiyAQqFATEwM3njjDXTs2NFh3cqY/qlTp3Dq1KkqrzVy5MgGJ7DHjBmDvXv34ueff4Zer4dMJkNYWBgmTJiAqVOnOtigA4CXlxfWrFmDL7/8Ert378a6desQFhaG2bNnY8qUKfXebuW+3Lx5s0qSHAD69OlTJYHdkOPAqR80IjccDqdZYjAYEBkZCY1G42Cz0a9fPxw6dEiwudh5qr8Ksh1n8VRwf9YSBIHKD32ZzcRagiBkW8V/PAOlNDqwqQQzqdig0ug5AnwkNCzhW8hpzNlKMueyliAIoTLxd5GdIzIz2Vcm/kI+ADARGBlDCSrOAVQKTKhc21LZz2RzPmsJTidcJv453wBQZKNxDvIkUoDaWB5//HGHmc3VUV1ytTaGDx/uYKNdHwYNGoRBgwbVud7+/fsb9Lr1Ydy4cRg3blyDnuPv74+PPvoIH3300X1vd/Xq1Q1av6HHgVM/eAKbw+EITmW3dXZ2NiIjIwEAarUahw6xmUUdVtqPyXabiqhWNAJDMjJpFRo8KBN/h1UWaNx40jgDAQoidpItJTSSKresNCr+PYkk6suJJMlOlN1hLcHpPOoeyVqCIFwlkGgAgBbcHlRUUCla7CxX172SCLhsoTHrO4RIUTEFqMwzby+j8dvpDRrFJRwOp3GIJoFtI1IJyuG4GpXJagDIzs4GUNF5nZCQ4GAhXklcXBxMJhPy8vKY6HVFaIQR6ARMvIncYFNI7hqImDFnW0pZSxCEYCLz6fOIVPxT6SLzJGKVTsV2uqUipO6VXJz/GlJYSxAEKondfCLXCAFErt+pQGXWt6eURpFbGxsNS3hvqfiv+XKJ3KcUEHHl8ydyn8KpnqKiInu+oCZkMhn8/f0FUsRprvAzBYfDcSqVyWqgwm5Eo9HYE9mVc7DvtRAPCgqyz5gQijQPNp3fTcXjQa7dQV5fqCQbssw0pgX6KcRvFyUlYnsfRsDSFqCT2A0n0oFNJbFrIVL8VWClMaPeXyb+384BKhod2HvKbrKWIAht3GiMMZASuU+hgonIbycVrklqT5CIhVQC84RDpTTuO8tsZtYSBGGPMZW1BEGYy1pAM2Xu3LnYsmVLreuEhYU5xZKc41rQiNxwOJxmgdVqRUJCAjQajX2ZTqcDUNF5LXTiupL3Srsw2W5TIWtNw9aWSmCIyhyg2+YC1hKcTjuFH2sJnCbEg8hlcxkR5wA9kYIEKr+dwVIaDgkU+G+5+G3SASBYQcM1INNEw6LYTxnEWgKnCaFxdw0oiOypksh+ekvEH0fItZaxliAIXWV+rCUIgpeShgsEp3qmTZuGYcOG1bqOmxsNBw1O7dCIxHE4HEEJCqr7Br7SWjw/Px+ZmZkoL2fXOfOxB5vEeVNBpQMbRObPUrFKp7CXVFwDqKAkcg5yIxLk8yDSgZ1DJNBnttEovGgj82Ytwem0UwawliAIOZYS1hIEwUriio8jNqgkPP0kNJJHvKOe42rIicQRqBQUc6onKioKUVFRrGVwXADRRG5ohCw4HNcgODi41sdVKpV99rVWq7Uvv3TpEsxm4a1ywkpdOwE8IopGoC/ZnM9agiAYrDTsorxk4q+kpGLd29pGY+7jGdCw98+2WVhLEISeUj/WEgRBJaURhM+x0bAQ54iHHBON3xR3Is5CHHGhB435s0VEbIrDJDTuVfIh/muhYBkNx50kq/jd6gDASOS+k8PhNA7RJLA5HI7roNPpEB8fD41Gg+TkZOTm5jLVMwWunRj9zUwjOE3FBtVdSqMS3kggUa+Q0fjM5krEfywBwBs0vptSIt04l200uh9NRMp88y00Os195eL/fl433mUtQRCi3Wov+BULqSY9awkcToO5aaZhfe8vc2ctQRCopMjUUvEXiGcQcS+hkqjXW8VfdMHhcBoPT2BzOBwmhIaGwmAwICAgALt37wbgaCvOah42h8OaMiuNin+FRMZaAqeJCLTRuJy8TSThWWKjcQ4KkNII2uZZSllLEISWBKy1AcCHSCENBTyJFAtFKPxYS+A0IVTG44TIPFlLEAQq13y3bMWsJQhCe6n4r4WKiLh6WGw0nNz8CBRdcDicxkMj4sjhcJoF987G1ul0ACqS1vHx8cjMzITVakVxcTEsFmFrZF/p+Lug22tqDmMIawkCQSNg4kukEr7MKv55R1QsxGl8M+lAJZBAxbIuiEgQPttKI1HvLRP/7buNSND2joVGh2exhUZ3VUdlUN0riQAbkWtbKvtJxaVFQWSmeRaBcSrFBGIIAFAmofGZDZPQ6DTncDiNQ/x3wBwOp9lQ3WxsnU5nn4OtVquRnZ2NyMhIGAwGnDlzBt27d8ehQ4ecquvZR1z7xk11gMbFrURCI01WaDWwliAIuUbxB26jFWrWEgThtkT8wRIAKLDQ+G7KiAT5qFjzZRKxWlRKaNzWUhinEu1GIxFYSMQ2s5jATFZKUOnAVhJxivIDjaJFKgUJxUQ66ingTcSlJcmYw1oCh8NxAURzp28jciHN4YiRym5sAIiPj4fBYEBycjKKioqcnrwWA1QSuxSCtgCd/QxV+rGWwOE0iFZyX9YSBKGQSGdDOZGuIy/eUc9xMajMwPaWqVhL4HA4NXCXSEExlVEGNEozaSAj0plMpaA4z0TD3p/D4TQO0SSwORyOOKicja1SqdCvXz9BEtjrvuvj9G04k0nRoawlCAKVQiWLjUZS5bYhl7UEp9NdEchagiBcJWKD6kMkEUjFTlJio/GbQiP8BRhtZtYSBKGIwH5aiXTKGQgcS474oNLJqiLSge1BZD+zrGWsJQhCEYGRDXIiCWwq7iURbv6sJbgcVqsVY8eORVJSEh555BGsXLnS4fFLly7hu+++Q1JSEnJychAQEIDOnTtj6tSp6NmzZ62v/dlnn+GHH36ATCbDxYsXHR67c+cOBgwYUONzT506BU/PP0ZX3bhxAxs3bkRycjKSk5Oh1+sxevRozJ07t+E7/f85ePAg1q1bh8uXLyM/Px8SiQRhYWF4+umnMWnSJPj4+NRbLwC88cYbeOWVV+rc7tmzZ7Fs2TJcunQJubm5sFqtCA0NxWOPPYYpU6YgJCSkyvrbt2+373tJSQlef/11zJgx4/52nMMT2BwOR3i0Wi0MBkOdyek7d+4Ioifc74og23EawTQS2FTwktFIkrX3EP/ntgA0gtNhRGbs0kjrAv4SJWsJguADGkHbQtDoTKbiXnK09DZrCU7HW+7OWoIg9FJUHa0kRvTc0lZUtJTQ+H7esNLoCrTYaBQkUIFCARgVZ6EiIi4QvJiv4axatQpXr16t9rGzZ89i/Pjx8PPzw7PPPosWLVogPT0dGzZswPjx47F06VL07du3xueuWrUKHh4eKC+vuYBi4MCBGDhwYJXlbm6O380zZ87ghx9+QHh4OLp06YLDhw83YC+rp3K/R40aheDgYJhMJpw7dw7ffPMNdu3ahU2bNsHDo2JMmL+/P+bPn1/t63z55ZdIT0/Hk08+Wa/t3rp1CyUlJYiLi0NQUBCkUikuX76M9evXY+fOndi8ebNDEvvgwYNITExE69at0blzZxw7dqyRe87hCWwOhyM4BoMBCQkJ9r8rE9r5+flQq9WC24a/7O3a8yGliGMtQRCoWKWXELHvtREImCiIJFSokEFklrCcSDdOCymNIHyalcbnlkLXEQAEKn3qXsnFKbfSSHhesRSwliAIXlIaRVEeREJrGTYaSRUq92NmIs5fMiJxhLZyP9YSnI6RSEmxmYi9fzmR35SmIjU1FYsWLYJGo8G8efOqPP7jjz/CaDRi+fLliI6Oti9/6qmnMGrUKGzYsKHaBLbJZMKcOXPwxBNPoLCwECdPnqxRQ4cOHTB8+PA6tT7xxBM4duwYfH1969UNXR+mTZuGadOmVVnerl07fP755/j1118xYsQIAICHh0e1Om/fvo2MjAx0794dHTp0qNd2hw0bhmHDhlVZ3rt3b2g0GmzcuBGzZs2yL3/++ecxZcoUeHp64ujRo5g0aVI995BTE6K5yqbxE8bhuBZarRbZ2dn2v1UqFTQaDc6cOYP4+Hio1WoAQH5+Ps6fP89KJr4tcu3uwSfcH2MtQRCo2L0qiBi+lkH8AWoTgSp4gE6inoy1NpHjqbfRCE63lnqxliAIh435rCUIggeBzqNAOY3PLJXZsyoibhcBRNxLqFiIe8lFEyqtlVOGDNYSBKGFwpe1BEGgkNyl0GUOAFnmItYSBCFC4cdagkvx7rvvIioqChMnTqw2gV1cXOEeEhzs6PJT2R3s7l59Afd3332H9PR0LFu2DH//+9/r1GE0GmEymRwsw/9MZbxfCMLCwgAAhYV1j7bbuHEjbDYbxowZ0+jthoeHAwCKihy/r4GBNEYJCgmNqzIOh8MEg8Hg8MOp0+kAVFRiZWZmIj09HXl5eazk2XmvtAtrCY1C0ppGsoGKPWiZjYbdq4xAor6jjUaH53UJjcppKskG8Ye+KvAlcjxvEbFBpfCbAgAqqfhv39VSFWsJgnDdeJe1BEGIVAoXwGTJXSJFUR1A49r2qrXuILgY8JXROJ4dZTQS2KdMOawlOB0qrh4tFOJ33AGAQisNB6W6uo/37dtX52ts2LABJ06cwKZNmyCVVn/f07dvXxw4cACzZ8/Ga6+9ZrcQX7RoEXx9fTFlypQqz7l69Sq+/fZbaLXaKrOcq2PFihVYsmQJbDYb/P39ERsbi9dffx3+/sLNMy8pKUF5eTlKS0tx8eJFfP7551AoFPjLX/5S6/PMZjO2bt0KLy8vDB48uMHbLSsrQ1lZGcrLy3Ht2jV88cUXAID+/fvfz25wGoD474A5HE6zo2XLlkhMTAQAaDQaqFQqGAwGJCcnIzc3l7E6DocjBHcM4v+uX1EGsJYgCDIixSVUbrDLiNj3qhQ0ugL9JTSSgblSGlbpSon4b9/zicx9dCcShE8h4o7QURnEWoIgnAWNoqgAImNGfAi4egBAHpECkwg5jaQnBQyg0dTQQu7BWoIg3EbjroWysrIwf/58TJ48GR07dqxxveeffx5ZWVn46aef8Oyzz9qXR0dHY8OGDWjdurXD+larFXPmzEGXLl3w/PPP16pBKpWiT58+GDBgAMLDw1FcXIzffvsN69evx+HDh7FhwwYEBAgT//r444+xZcsW+9/t27fH119/jXbt2tX6vAMHDiAnJwdjx461z8puCMuWLcPixYvtf4eHh+Ozzz7DI4880uDX4jQM8d8BczicZkdkZCQ0Gg0AIDs7G4mJidBqtQgICMDu3bsRFxeHwsJCuLu7C9KhfWDyYadvw5m4S0ayliAIVDqwZRIaXWQdPcNYS3A6VBK7VLAQmRNoIdKDTeU3pcRGoyDBm0gQ3kTApaWFzLVH+9QXCZEEGZUgPEdcKIjMTL5m1LOWIAj+RJJkrQiMjaEyuuqMSfzF/gBw3UJjP5P2/d6o53/wwQdQq9UOc5arQyqVIiQkBB07dsRTTz2F1q1b49atW1i+fDmmTZuGVatW2e22gYqZ2RcvXsSWLVtq7OqupGXLlli9erXDshEjRqBnz5744IMPsGjRInz00Uf3v5MNYNq0aRg2bBj0ej1OnTqFEydOQK/X1/m8DRs2AIBDcr8hjBgxAr169UJxcTEuXLiA/fv312u7nMYjmgQ2jVAbhyMOKq3EAdgT2QaDAQqFAhqNBgqFAp6enoJ1Yx9e7yfIdpzFU8H9WUsQBCuNexUyXC/NZC3B6bTxplEFT2UeIpVuOR8iHbtUEvUSIkH4LBMNu1cPmfgT9ZFyGnPjdpXdZC1BEFooaVj3ehCw96dEuqWUtQRBoHKNQIWzBJKeXkQKFsuIFKC6SWmMdGoMu3btwv79+7FixQqoVLXfp3/xxRdYsWIFtmzZgujoaPvyvn37YtSoUZg/fz4WLVoEAEhNTcWXX36JqVOnon379vet7/nnn8eSJUvw3//+975fo6FERUUhKioKADB48GDs2bMHr732GmQyGeLi4qp9TkZGBg4fPozOnTujc+fOVR7PyXEcwSCTyarYokdERCAiIgIAEBsbiwEDBmDs2LEwGo148cUXm2LXODXAr7I5HA5TkpOTodFokJ2djcjISBgMBty5c0dQDX2f0wu6vabG/b80OrCpYCWSDIxQiT9ATSWx28pGI5BQKqXRRUblc2siksDOt5SxliAIKiIBMA8C+5lio/GZDVJ4s5YgCHozjURgCyUN5wAqKIg4YslBYz9LrTQsxIMJOJgYbGbWEgRBJRH/9R4A+MtouNHcL0ajEZ988gn69u2LsLAw3L592+Fxg8GA27dvw9PTE76+vli5ciXatm3rkLwGgA4dOqBt27Y4evSofdm8efPg6emJuLg4h9c1GCpG+dy+fRsymQzh4eF16gwLC8OFCxcas6uNIjY2Fp6enli3bl2NCexNmzbBarXW2H3dt29fh7/DwsKwf//+WrfbtWtXtG3bFuvWreMJbCfDE9gcDocpKpXKPvv68uXLTDS4egf2k8GPs5YgCFTsXgMJ3HgCQKZZ/N1yHqAxY/e2hMZs6AdtNL6baRIaFf/JZhpzWbvKhZlFxpoD5tt1ryQCSgjY0VwmYifJu47ERQsJjWK+W7YS1hIEocBiYC1BEEqsNK7hqXTtqiTiv/fUW2l8N81ECm2zLTR+U+4Xg8GAvLw8HD58GLGxsVUeP336NGJjYzF48GBotVqYTCZYLNUX3ZvNZofH0tPTkZubi6FDh1a7fmxsLAIDA/Hbb7/VqtFqtSIlJQWBgewaVCwWC0wmEwoKCqp93Gq1YtOmTfDw8MCQIUOqXWfFihUOf7u51e93w2Aw1LhdTtPBE9gcDocpnTp1wt69ewEA/v7+gsy8/jP+hn8Lvs2mpGfkZ6wlCAIVizMqFeJZBvEnj0qVwawlcJqQ32161hIEQW6jca4NoVIsZKMR6FNKaNzWehIYZVBIJHFUZKbRaU7FHSHTRiMRKCFSUOxNYFwDAMiI3F9TgUICW0Xkei9MRsOlJc1SxFpCs8bd3d1u+f1nXn/9dURHR2PmzJkIDQ1FYGAg1Go1bt68iTNnzqB79+72dU+fPo1bt27h0UcftS97++23UVhYtankq6++wo0bN5CQkOCQxM3Pz4dara6y/tKlS5GXl4eJEyc2Yk/rR05ODoKCgqosX7t2LYxGo8M+38vhw4eRnp6OZ555Bl5eXtWuc+97U9/t7tu3D6mpqVW6tzlND40zP4fDERSVSoWUlBQEB9edvNHpdNDpdNBqtTh69Ci8vb1RXl4Om80Gk0mYLrA7PqcE2Y6zGKmmYf1FhRIi844ooCLSgW0At9YWE1QSgdlWGra27kQsCOUEgrYAkGkUf4W/l6z2+X4cDofjbDIInGsBoJhIwVCo0o+1BEH4rUT8bjQRbv51ryQCTpSlspYgCBYbjU7z+0WhUGDQoEE1Ph4QEODw+KuvvoqPPvoIkydPxtixY9G6dWvcunUL69atg0KhwOuvv25ft6aEbWJiIm7evFllu++99x4KCwvRo0cPtGzZEsXFxfj9999x+PBhREVFYdasWQ7rFxUVYfXq1fb/AxUjRL/++msAQMeOHfHkk0824N0AhgwZgh49eqBLly4ICQlBQUEBjh07hoMHDyIsLKyKhko2btwIAHjuuecatL1KXnzxRfj4+Nj3vbS0FElJSdizZw/8/Pzw9ttvO6yflpaGbdu2AYB9ROrx48ft+967d2/07t37vrRQRTQRKhuRSlAOxxXQ6XTQaDQNfk58fDzUarW9Wiw/Px/nz593ksp7tq1f6/RtOBNLa/HPEgbodGC7E+lUoXA8qSR2qeBNJBFoJpKo9yNiJ3mXyAxsKkF4H7kHawlOx0okmEmlM9lk49dCHNfDV05jLquVyDWflMB9JwBEu4ewluB0TESuEdqrxH8sASDDRKNYSCjGjx+PkJAQrF69Gj///DNKSkrg5+eHfv36YcaMGejYseN9v3b//v2xfft2bNq0CXq9HnK5HJGRkXj11VcxefJkeHo6upsVFBRU6R6/cOGCfVb2yJEjG5zAnjRpEn7//XesXbsWer0eSqUSrVq1wowZMxAfHw9fX98qz8nNzcWBAwcQHR2Nbt26NXCvKxgzZgz27t2Ln3/+GXq9HjKZDGFhYZgwYQKmTp2KkBDH7+udO3eq7Pvvv/+O33//HQAwa9YsnsBuIKJJYHM4HNdn5cqVACp+dBMSEuzL4+PjnZrI/vo/h5322kLQUzKStQROE1JuNbOWIAgdPFqyluB0qNgsUulMzrAUs5bAaUICZeJPBFKiJZHuKoNV/C4tpTYao1SozMA21TCLkcNpzvgTuUag4l7iLRH/+A0qqIkUoN4w61lLEASphLtJ3i+XL1+udvlTTz2Fp5566r5ft7Jr+s+MHj0ao0ePrvfrhIeH16jxfpk5cyZmzpzZoOcEBgY2Op8wbtw4jBs3rt7rP/TQQ02+79ThCWwOh9PsCA4OhlarhcFgQH5+PjIzM526vRlPufa8iv/ZeAe2mHCT0vhppmAXRSWxSwVvKQ1b2xAi+1lio1Es5EUk0FdGZPwGhV8VKh2BSiKJIw7HFcmz0BgzkmcuYS1BEFRKGrbT7gTGAGVbaTgLhct9WEsQBAvEHxPicDiNR/y/bhwOx6XQarVITk5GeXk5FAoF8vLynL7Nd77Jdvo2nMnnsk6sJQjCfksWawmCUGKl0Xn0gDKItQSnU04gSQ8ACiKV08XWctYSBKGUyDkoROZZ90oiQE7ECSJYSqNb7o61kLUEpzNW2Zq1BEEoJZKoT5KK/zML0Cm8sBDZTw8pjY7dDio1awmCcIuIi1KMxIu1BKdjJVL7dcqqZy1BECgUXXBqR6/Xw2SqvRBZoVDAz89PGEGcZolozhRWGrEZDsclqeymBoBDhw4xVlOVea8Es5bQKH77zLUT8PVFBhpJMir7edss/nlHUXI/1hI4TUiAjMY8xBICFsUA4E0kYFJEpDOZisU/hTme2RIaltOZNhpFUWFEikv0RM61MiJFUS2JfG4LiXxuI4gULZ63FbGW4HQkNhrnoAAijlh3rQbWEjiMefXVV3Hs2LFa1+nTp0+N1uYcGtCI3HA4HGaoVCpkZGQgJSUFcrkc/v7+gnRVN4SPPZw3X1sIngx+nLUEThPiI6Nxs6K30LD/okCahYb9YDCReYi5Nhq2mVSCtkFEAmBURjZQcILYX57KWoIgBMrF3ykHACUSGrO+PYnsJxVSiVzbUrHvlUlpJLA54sETNFrNr/GYEHnefvttFBbW7tbj40PDUp9TMzyBzeFwnIpOpwMAxMfHQ61W2zuwlUolbDYbzGYzbDa2Qcf3Srsw3X5jiYyi8WOeRqS7isJsaADIN4n/eFoJ2KQDQBiRroZbFvF3NQCAwUpjNjQVC8LbZhr2vQVEAmBeMvHPNB/i1oq1BEE4R8AOHuCJXbERKqFRFNWSiOuOATQcL6hY37eE+O/Jzln0rCUIQhsihdMPKAJYS+AwpksX147Hc4SBJ7A5HI4grFy50v5/rVaLjIwM6PV6FBQUQKH4I7DR3LqzXQEKVswAHWttKjP0nvRsy1oCp4mgEhQKktIIZvJkg7jwkYo/4QkARQQ6kwFAScD6Ptkm/gI3APAhMmP3QjmNUUcdiRQtpttoFAt1gzdrCYJwgsj5loods4nAPRkVR6ybRByxvAhc13I4nMbDzxQcDkdwKruyK2dj5+fnQ61WIzk5Gd7e3igqErbL7QeoBd1eUxPFuINdKCQSGvtZYjWyliAIF03iL1YJl/8/9s48Lqp6/eOfWRkWgWHfSUSlq7mkWZaYhpo3zS13M9FSWzQvdc1GrcxfRZpFVmZeDbUiyyXXWy6pmdZVS3PHXUHZBmQdYJj19wcvRqdhFeZ84Tzf9z/FOV/O+RxnOOd7vs/zfB4ai1/3Esj2B4D9ZhrJQu5Egiq+EhrXeZ3I4nQAETtmlYSIdQABqPQSDld4s5bA4TSY3y3if08BgCAiwcCrpkLWEgTBjcAcXkGkqEEhoXGdVOZCHA6ncYgmgG3hNz0Op8Vy5kxlD2qZTAazWXgbqykoEPycTclvEhq2O1Ii9/k+yhDWEgThsFH8FTmXCQTpAcBdKZrpZK08IPdjLUEQaNxpgT9Nt1hLEARXKY2K+iv6XNYSBEEhFX8AW04kSO9FxKK4xKxnLUEQqFRgS4jMEryJuJfcINKii0qCeKTci7UEp3PTRKOlU5nVyFqCIGiJJCRwOJzGQWPFkcPhNCvurLwGAD8/PxQXF8NgYPNi8X9uZ5ict6noG9CbtQSBoLFg8qshi7UEQVASWKCmsshHhWNEAp7BMhqVrFTglvCcloaViLOQlYDVK0d8UPne3jTRCOz6EanALpfQCAZSCO4Gymg4f90wFbOWIAiuBFwDOBxO4+EBbA6HIzh6vR5JSUkAKoPZABAUFAS1utLKu6CgwFaVLQRvlHUU7FxO4R7WAjichuMpE38vMj2RxS8qhBAJ7FKxrKOCwSq8sw2H0xgeUoWyliAIV83iDzQAgEVKI+DJEReBchpBshILjcAuFaIJVGAXEqlMplBNDwAhEhpuFxwOp3HwADaHw2FGVSU2AGRnZyMzMxP5+cJb7vIKbE5zgordaw6BDHFegc1piWgt5awlCEI/WQBrCYJQIKERwD6PHNYSOE3EYX0GawmCIOPJQhxOs6XMamItQRBUBByxAKCcv5OJBq25lLUEQQgiUmlOxeGMw+E0DtEEsHleL4fTstBoNMjKyoJarRa02lqMyIj0jZFIaLx4UilU4cFdTkujh4WGzeJNGY1M+KuoYC1BEGjMEAClVDSvtbVSQaBarrMrjQrss/ps1hIEQUUkMZMKVObvRUR6t+cbabhFhSi9WUsQhEPl6awlOJ0gBY3K5ApYWEsQhOv6PNYSmj06nQ5r167Fzp07cfPmTSiVSoSFhWHEiBEYPXo0FIrKedbVq1exYcMGpKamIjU1FYWFhRg5ciTefffdao/7+uuvY/PmzdXumzJlCubMmWP7OScnB1u3bsWhQ4dw7do1FBUVITg4GPfffz+ef/55REZG1noNZWVlGDx4MDIyMmrVVBtHjx7Frl278McffyAzMxMAEBERgSeffBLjxo2DSlW9w+P//vc/rF69GidPnkRZWRn8/PzQqVMnvPvuu/DwqNthr6HnPXXqFLZt22b7HEpLSzFr1iy8+OKLDb5mzm1ovOlzOJxmh16vx5o1a2w/V1VjHzx4kJ2oFoqFSAoPlcAuFVQS8U9B9ESqNyKsNAKem6w0gg0yE42QJ5UeelRQEKkiC3TxZC3B6Vwy0FjM7KIKYS1BEEqJ2L1SgUoPbArvKQDgp2jFWoIgyInMEe4n0IKj2GpgLYHThIS6qFlLaNaYTCZMmjQJ586dw7BhwzBhwgQYDAbs3r0bCxcuxF9//YUlS5YAAE6cOIHk5GSEhYWhY8eOOHToUL3OsXjxYodt0dHRdj/v27cPn3zyCWJjYxEfHw9PT09cuHAB69evx44dO5CcnIwHHnigxnN89NFHKCgoaMCVO7JkyRJkZmaif//+GD9+PIxGI/bu3Yv3338f27dvx7p16+DiYr8utXLlSixZsgQPPvggnn/+eXh4eCA3Nxd//fUXysvL6xXAbuh5Dxw4gJSUFNxzzz3o0KEDjh492qjr5lRCY1bG4XCaJXdaiBcUFECtVqNjx46CV2TfLGwn6PmanBYun2MPFUvJEguN6kcKpEtofJbhMvEHjgA6dpImIpUNJUSCR95yGg4J2cYi1hKcDpVAQxGRRXg5kYpdjrig4vzlTySZr8BMoz0OD+6Kh0xjMWsJglBu4d/Z2jh69CjOnDnjUBE9YcIEPPXUU/jvf/+LBQsWwMPDA3379sXRo0fh5eWFmzdvIi4url7nGDp0aJ1junfvjn379iEgwL4FV58+ffDss89i0aJF2LhxY7W/e/z4caSkpOD111/He++9Vy9N1fHqq6+iW7dukMtvhzInTpyIV199FTt27MDGjRsxYcIE276jR4/iww8/xPPPP4+EhATBzjtu3DhMmTIF7u7uOHLkCJ555pm7PjfnNjyAzeFwBEWj0UCr1SIgIAB6vR5JSUl2+1jYift+WSj4OZuSCHl71hIEIcNMw+KMSmDXhUBlQwWRCmwqUOkNTaW6ypXAPQgAkTA9oCWy0Kck8L29R0mjGofK32a6oXEVNy2Fx1zCWEsQhGtWM2sJgpBRQeN7K3PxZS1BEKi4YgVIxJ+QkGcuYy1BENylStYSOM2AkpISAHAIHMtkMvj5+eHy5ctQKiu/K2r13c2frVYrSktL4erqCpms+iTStm3bVru9V69e8PLywoULF6rdbzAYMH/+fPTr1w9xcXGNCmA/+OCD1W5/4oknsGPHDgcNy5cvh1qtxowZMwAApaWlcHFxsQtEO+O8fn5+DTo+p36I5g2Yygsgh9PS0ev1Dg9f4HZPbBb0P3qRyXmbCpVpGGsJgkAlE54KFIK7VAKBVDARWbSl4gKhI5LxT+XZSSGwCwA6An1ZZUQ6txdbxP9ZAkBvF/Fb2gJAppVGAioVfBR124qKgQIiwcBQOQ0XJQp4EAnsZhBw3AGAVrLq+xaLjbqqoffu3Vvt9vvvvx9ubm74z3/+g8DAQHTp0gUVFRX46aefcOjQIbz88su2APbd0r17d+h0OshkMnTs2BFTp05F//796/W7JSUlKCsrg7+/f7X7ly1bBq1Wi9WrV8NodI4rWE5ODgD7wHF5eTmOHj2K2NhYbN26FZ9//jkyMjIgl8vRo0cPzJkzBzExMU1+Xo7zoPGmz+Fwmj3V9cQ+duwY8vPznX7u3ZuXOf0czmSomsbiNBVaSWn0EzYQCGDrLeK/RkoYiASwfYgsDJWChrV2KZFAvYVIwpDFKv7rLCMwPwCAACkN2/ti0Pg8OeLCg8j72FW9lrUEQaCSVNxeIf5ACo2UC8BI5L2TSqV5Oe4uadHf3x+ff/45FixYYGeD7eLignfffRdPPfXUXWvy9fXFxIkT0bFjR7Rq1QrXr1/HN998gxkzZmD27Nl47rnn6jzGsmXLYDQaMWLECId958+fx6pVqzB//nwEBgbi5s2bd621JnQ6HVatWgWFQoEnn3zStj0tLQ0mkwknT57EoUOH8Oyzz6Jjx444d+4cVq5ciXHjxmHTpk2Iiopq0vNynAcPYHM4nGZJYmIiNBoN9uzZ4/RzDRj+ktPP4UxU+53/b9QcoFJFRiXYoCBQ5Wnm/jCiwotIhriZyCKflUAgkBJUnAMUUvH3h84wFrKWIAheSkdHKjGSQ6TS3EtCYxGeCtlEqh+VUhpLwlScPYz83VM0eMpcWUsQBCoJ4jVVWNcHDw8PtG7dGj169MAjjzwCvV6PzZs344033oBEIqk2eFwfZs+e7bBt7NixGD58OD7++GMMGjQIwcHBNf7+tm3bsHr1anTq1AnTp0+322cymTB37lx06tQJY8eOvSt9dWEymZCQkICMjAxoNBq0bt3atk+nq2w/mZ+fj4ULF2LMmDEAgP79+yMkJATz58/HsmXL8OGHHzbpeTnOg8ZshcPhtEgSExORmJgIAIIFs1siVAK7UtC4TlepgrUEQSjmNqiiIcNcylqCIFBZEqJilU4FKs9OH5n4+z5SgUpySa6lnLUEQXAnMq/liAsygV0rjXcVTyJJqP4S8TsHZPD3FFFBpdL8bjl//jzGjx+PSZMm4d///rdt+5AhQzBu3DgsXLgQffr0gY+PT5Ocz93dHZMnT8aCBQtw6NAhjBo1qtpxu3btgkajQbt27bBixQoHG/Pk5GRcvHgRW7Zsccp6tclkwquvvopff/0Vzz33HOLj4+32q1SV93ypVIrhw4fb7Rs2bBjeeustHD582LYtNzfXboxMJqv237Su83KcB41ZGYfDadZoNBpotVpoNBro9XocPHhQ0PP3Xd1L0PM1NYfuaZrJSnOHSjCQSgX2LUMJawlOR62gEVAJJRI4OmXIrXuQCPAmkvFPZcGEirV2kZlGMLDEJP7rdCViJ1lhpdHGwB08gC0mqFgxV1ho/H1Seb92kdBY+v7LKP53FaVE/E40AJ2iBlcif5t3y9q1a2EwGDBw4EC77VKpFI8//jhOnDiBU6dOoU+fPk12zrCwMADArVu3qt3/448/Yvbs2WjTpg3WrFnjEOjVarX47LPPMGTIECgUCqSlpQG43TNap9MhLS0Nnp6eUKvVDdZnNBrx6quvYteuXZg+fTpeeeUVhzFVleOenp4OwXWFQgG1Wo2iottOK7162ccEQkNDsW/fvgafl+M8RHOnsBCpQORwxIBKpUJ6errtZ71ej4CAAOj1eiQlJQEA4uPjkZ2djby8PKfrmW5o2QHD/xF58aRSaU6lD5DSpeGT1ZaGnkgfzwir+LP9AcCoFH9fOYCOlZuJyCK8l4TGAthFYwFrCYJAoSqQynxPLaWRLJRuoPG3GaP0Zy1BECREXD185R6sJQgClfYb5UQShij0bqfiFEUl6SLLJP6ihsag1WoBABaLoxecyWSy+29Tcf36dQCAn5/j2sf27dsxZ84cxMTEIDk5Gd7e3g5jbt26hYqKCmzatAmbNm1y2L9z507s3LkTU6dOtasqrw8GgwH/+te/sHfvXsyYMQMzZ86sdpyvry/CwsKQkZGB8vJyuLrennNXVFQgPz8fAQG3W/msXr3a7vddXOzvpfU9L8d50LgjcjicZkViYiISEhJw9uxZh31VVdhpaWmIjIwUJIAt7fSn08/hXIawFsBpQkJkNBZM0kzi7y1Hxbo3XVLBWoIgyIh8nnoiC0NUKpMvE7H4v2XSsZYgCFSCDRQoJNIbmsNpiXgSCAQCQCmRwC6V1hQm0JjDU4CKsxCV9ZK7JTo6GocOHcIPP/yATp062bYbjUbs2LEDMpkM9913X4OPW1ZWBplM5hCozc/Px6pVq6BUKhEbG2u3b+vWrXj99dfRsWNHfPnll/D09Kz22GFhYVi6dKnD9vz8fLz99tvo2bMnxo4di6ioqAZpNhgMePnll7F//34kJCTg+eefr3X88OHD8emnn+Lbb7/Fs88+a9u+bt06WCwWu6r1hx9+uMnOy3EOPIDN4XCaBVVV2QEBAUhKSkLfvn2RnZ1tsyPJz8932rlH92zZnU1df+GTPjFx1VTIWoIgaA3iD2CrFTSSEahwmUiFp4qIZV2g1I21BEFwk9F43cs30QjUuxD4+6QSaPCW0ujJWmLmgXpOy+O6wXlrD80JKi0bqEDFyY0CN/TOL+RpDoSofFlLaNZMmjQJW7duxbp165CdnY3Y2FiUl5dj27ZtuHDhAiZPnozAwEAAQElJCb7++mvb/wNAamoqPv/8cwBATEwMHnvsMQBAWloann32WcTFxSEyMhKenp64du0afvjhBxQVFeGNN96wHRcA9u3bh9dffx0qlQrDhg3D/v37HbQOHToUANCqVSsHy3MAuHnzJoBKe+7q9tfFv//9b+zfvx/3338/goODsXXrVrv9ERER6Nq1q+3nKVOmYPfu3fjggw9w7do1dOjQAampqdiwYQOCg4PrXUXd0PNmZGTYxlRd8x9//GH7HB544AE88MADDb5+6tBY0eBwOM2eqqrsKiIjI3HmzBkAcOhZ0dQc+t7bqcd3Nv0D+7KWwGlCqPQ7qjC3bOv+ekHjoyRjIV4qb8VagiC07JSu+pNpplGx60FkMbOcwjMFgMEi/tYUHjIagd1LFeLvVQrQSYriiAsqVYFUWjZQ+TxzjMWsJTidQEX1VZ9iI0jlU/cgEVBIJAH1bgkJCcHGjRvx+eef4/fff8fBgwehUCjQtm1bvPPOOxg5cqRtbFFRkUPl89mzZ23Op8OHD7cFsP38/NCrVy8cO3YMP/30E8rLy+Ht7Y3u3bsjPj7eIcB69uxZWCwWlJWVYeHChdVqrQpgO4uq+MDx48dx/Phxh/3Dhw+3CyS7ubnhm2++wWeffYbdu3djy5Yt8Pb2xlNPPYWXX365Wov0pjjvzZs3HT6H33//Hb///jsAYMaMGTyAfReIJoBNI0+bw6HDmjVrAFRaiqempqJ169YoKCiwPTyakl5jCpv8mEKi2j+MtQRBoPKCXWqhsQhP4aXMSmR2QsVCXGKlcQ+SsRbAaVKo2INyxAMVe38Oh9N8cZPRSM6kEjxyJ5IYFeEi/vfrCgKJfABwy0CjNzRvjVM3YWFheO+99+o17sKFC/U6pr+/PxYvXlxvDTNnzmx03+eG6KuOffv2Nfh3PD09MXfuXMydO1ew8z744IONuk5O9YgmgM3hcMRJYmIiNBoN9uzZw1pKs4VKYJdK5jSV66SwkFDMbTNFxTUi9v4qCY3XAyoLJhQqdjnigso8yEtOo41BhYUn0XBaHmqZK2sJgkCl1zcVd6FyAvfbIJk7awmCYFTS6GfOXVo4HE59oLFCxeFwWgRVfbD/TmJiIrKysmA0GpGSksID2n+DSq9AC431TDLBIwpBFSoV2FRQgEbAk0wbAwL3IIBOP0RXGY3r5D2wxYNSQsPvogLiD6hwxIfBSiN4ZLDSmAvpicz5ohRq1hKcTo6ZhmuAkUjahZKvl5CmpKQEen3tRR8ymQw+PuJ3l+DUDo1Vcg6H0yL4ex/sO1mzZg00Gg0SEhJQUFBg2+7j44P8/PxGnXdPj3aN+n3WPLn/H6wlcJoQFymNR7PRTGNhiAJUemCnEnnBplC9AQABRCo48sxlrCUIAu+BLR6oWPdyOC0RKg4JNyoat77QUlBIaSTSeMloOF5cMt5iLcHpeErF7+IGAGVmGi26qDxTONXz7rvvYvPmzbWOCQ0NvSv7cI64EM0qOY3cJA5HXEilUiQkJECr1dZrfGJiIoDKvthVvbAbG7wGgP5HLzb6GCxxlQxnLUEQqExuS4i8rGQQWBjyU3qyliAIVHpgU7FBtUhpBOpvWcpZSxCEMiI9sOVEqlkpWN9Tme+VWmgkXZitfKVGTFDpUd9G5c9agiBkGotYSxAEPZG5kJpAoN5IxB2BSmKmkkjxBqd6nnvuOQwZMqTWMS4uPLGVI6IANofDaV7UZAd+J/feey+SkpKqrboW0ia87+pegpzHWfzvHj/WEgSBioW4iUhKVpiL+G2AqNgPZhCxcvMi0g+RysIQlb6PFCp2AcBDTqMih8Ln2Ubpy1qCIGiJPDtLeACb0wIpMNNIcqNyv80n8nnmm8T/XKHyPtbZLZS1BEE4U57FWgKHIdHR0YiOjmYtg9MC4AFsDofjFGqzAwdqD3BrNBqkp6cjNjYWKpXKFshuCrvw6tg/+VCTH1NI3CUjWEvgNCFUKo/0RHquUSCUiBXzRWNB3YNEgM5Co6Le3UKjZ7KnjEZg91aFjrUEQaBQaV5KpFIu11jCWoIgqAj0beeIDyrvY7lEEmmoOF5QCe5S4E/dddYSBMFFRuN9jMPhNA4ewOZwOEyoKcBdFdiOiIhAeno6UlJSkJiY6NSK7EPfezvluELRP7AvawkcToMpMIo/2OCraMVaAqcJCZR7sJYgCL5W8dsPAoCaSAW2+A2nK8kh0jeZQgW2gsi31p/IHMGXB1Q4LRCZhEYAO4/A+xgAtHWhYQl/xZDHWoLTaUfks3Qj4iykM9FwR+BwOI2DB7A5HE6zoiqwnZiYiPj4eHTv3t3p5yz/MMDp53Am1kU0epFJiCwkKAj0twSACgJ9ncwKbpspJoqJVG+UE7nOYCmNoIrWqmctQRBkRIKeCgIV2GlE3C4oJCMAdHpgR8i9WEvgNCEU3C4AOv1nS6w05rZeBHpgq4iEMXyIJE6HKcXfVo7D4TQe0dz5qfRG5XAooFKpBAlcV2HVzBLsXE7BW5he4Rxh8JLSyLYNUon/ZcUKGsklVDAR6Q0tJZIsdMFUyFqCILhQWZwm0t9SRiDJ7V6XQNYSBOGsPpu1BEEoI5IUFSKh4QJxzVrGWoIgUEmKslppvKsUEZkj3K8U//PzsqmItQRBcJPSsNbWGotZS+BwOC0AGisaHA6HUwuJhetYS2gc9/ixVsBpQrREepFZCFTkUHENoIIrkT6eEiJ9H6kEVUrMNHqaUwjsAoBSIv7Xd72VRmVyjKplO0DVl+sGGhX1mVYa91oqmCH+9xQACFOqWUsQhFwTDav0WwTuQ2oZjWT/Y7o01hIEoZ1bCGsJHA6nBSD+N2AOh9Ni0Gg00Ov1KCgoQMeOHQEAarUaBw8eZKyMw+E0NUEKT9YSnE6OqYS1BE4TUmymYcVMBQpWzABgIrIIT8Wm2AjxO0GoCATpATr96TmcloiUSDLfTSIJJnIpjTlfqcXIWoLT8ZbScLsIdKGRXNKKSIJ4Y9HpdFi5ciV2796NjIwMqFQqREZG4umnn8bQoUOr/Z3U1FSMHDkSJpMJixcvrnFcFYsWLUJycjJkMhnOnTtnt+/111/H5s2ba/xduVyOs2fPOmw/e/YsVqxYgWPHjqGoqAhqtRodOnTA/PnzERYWVo8rr5lffvkF06dPBwCkpKQ4uLgaDAZ8//332Lx5M9LT02G1WhESEoLBgwfj6aefhru7+12dNyUlBQsXLgQAHDhwAEFBQbZ9169fx/bt2/Hbb7/hxo0bKC0tRUhICB5++GFMmzYNAQE0kledAY23Qw6HUyOpqalISEiw26bVagXXodFokJ6ejpSUFNvPe/Zwa+z6YCFiUyylcZlwk9CYxFMIBlKx5aMClYpdDxmNhSEq1nylJhrfW18ivQILzeK37w2V0Kiu+st0i7UEQfAn8rdJBSrtcfykrqwlCIJcSSOVhoobjTuBYKCWwDwIANQyGvegMiKuO40hJycHzzzzDAoKCjB8+HBER0ejvLwc169fR2ZmZrW/YzKZMG/ePCiVSphMdf8bnzp1CmvXroWbmxsqKhzvl2PGjEHPnj0dtp89exZr167FY4895rBvx44deO211xATE4NJkybBx8cH+fn5OH36NIqKihoVwNbpdHjrrbfg5uaGsrLq7wkJCQn4+eefMWDAADz11FMAgEOHDuGjjz7CgQMH8O233zb4vJmZmViyZEmN5924cSNSUlLQt29f/POf/4RKpcKJEyfw7bffYtu2bVi3bh3atGnT4PNyRBTAthDJkORwmhqLxYKkpCS7bX8PaDsblUqF9PR0REREID4+HmfOnBH0/PsnHxL0fE2NCsNYSxAEKnbMVCqPKBQFUvnOUqGN0pe1BEFwJ3IP0hPpaQ4iwaM0A41gYLlZ/AkJGVbxJ7gBdOZ7mUYa/Up9XWgEG6i0Gcmz0OiZnG+i0boqWOHFWoIgFFrEH6inYu/fRkajAvtPQw5rCc2e1157DaWlpdi6dSuCg4Pr9TvJycm4fv06pk6diqVLl9Y61mg0Yt68eejbty+Ki4tx7NgxhzFdu3ZF165dHbYfOlS5lj569Gi77deuXcPcuXMxePBgvP/++5BKmzZZavHixZBIJBg7diySk5Md9qelpeHnn3/G448/jk8++cS2fcKECXj++eexf/9+XLp0CW3btm3Qed98801ERUUhKioK27Ztc9j/+OOPY9q0afD0vO02OWbMGHTp0gVvvvkmPvnkkzo/D0710Hhr4nA4zZrExERb0Dw7O1vw8/dd3UvwczYl/+M9sEXFLSJZxQoC5plUFvkirTQqdveaC1lLEAQjESvmEHkr1hIEgYpzABULcVeZ+J0DfCTiv0YAMEhoJNHc5xJU9yBOiyGYiEPCZWMeawmCEKykEdilMhei0B+6gICLGwAcMwrviskClZSHpWrj2LFjOHz4MDQaDYKDg2E2m6HX62u1v7527Ro+++wzzJ49u1422StWrEBmZiZWrVqFf//73/XWVlxcjF27diE0NBSPPPKI3b4vv/wSZrMZr7/+OqRSKcrLyyGTyaBUNn6Of/ToUaxfvx6ff/55tbblAFBSUtnKrzrL7sDAQACVhXQNYcuWLfj999+xceNGfPXVV9WOue+++6rdPmjQILz55pu4cOFCg87JuQ2/U3A4HEGo6m99pz35kSNH8PDDD8NqtcJoFH+/Hg6nPlCxEI+Wi3/B5DiRjOI0ifiz/QHASyr+RSEAMBCpTG4tcWMtQRBUMhp9H4stNBY0Kwj0t7xqLmEtQRAMRGwzbxBJ/opR+rOWIAhZRBwS9ATutQCdwC6VpGIKFdjt5N6sJQjC7/qbrCUIgpRA0gUAxMXF1bp/79691W4/cOAAACAiIgIzZ87E/v37YTQa4e/vj/Hjx2P69OmQ3fGuZ7VaMW/ePMTExGDChAnYsmVLree9dOkSvvjiC2g0Gltgt75s27YNFRUVeOqppxwqrH/55RdERUXh5MmT+OCDD3DlyhVIpVJ06tQJr7zyCh588MEGnasKvV6P+fPnY8CAAXjsscdqDGC3bdsWgYGB2LBhA9q1a2ezPz948CB++OEHjBo1CuHh4fU+b15eHhITEzFp0iT84x//aLDunJzKdUE/P158drfwADaHwxEEvV6PpKQkO3tyX19fREdH2yzMNRoNjhw5Ar1eD4NBuJcpjfc4wc7lDIaqf2YtQRCkRF48QcR22kygh56MQJU5AEQQqcC+YqFhgyqT0PjeHjfns5YgCBTcLgAg36BjLUEQKPx9uilpLFFkGApYSxAEhYRGEkOVUeoAAQAASURBVA1HXIS7+LCWIAgFRJy/qGC1iv/92iLzrHuQCHCT0Xi/LiPSn16FuwvUX7lyBQAwb948hIWF4Z133gEArFu3DkuXLkVWVhb+7//+zzb+22+/xalTp7Bp06Y6bbstFgvmzZuHjh07Yty4hq+Jr1+/HjKZDCNHjrTbXlJSgtzcXBiNRsyYMQNjxoxBQkICrl+/ji+++AJTpkzB6tWr0aNHjwafc+nSpSgoKMAbb7xR6zgXFxesWLECc+fOtRsrlUrx8ssv44UXXmjQeRcuXAgPDw+8/PLLDdZcpRsARowYcVe/z+EBbA6Hw5Do6Gi7n/V6PR588EGkpqZCr9fDYrHAaDTa7D841UPFNtNKJIDtIaVhnSkj8HlaCATpASCdSAU2lX6lrlIaLhBFRCwI9aBR5ekup7HQpyRwH0oz0gjs+itotDEoIXKv5YiLYiLfWzmRBBMq6yXRSvEnXhRbabgjmIg4YrUiUoFdU4V1XZSWlgIAXF1dkZKSYrPgfuKJJzBo0CBs2LABkydPRlRUFDIzM/Hhhx9iypQpaN++fZ3H/uqrr3Du3Dls3ry5wT2qT506hQsXLqBv374OldtVmgsLCzF9+nS88sortn0dO3ZEfHw8PvroI3z33XcNOufp06exdu1avPXWW/D3r9v1xt3dHZGRkWjdurWtAn7Xrl34+OOPYbVa8eKLL9brvHv27MGuXbvw5ZdfwtXVtUGaAeCLL77Arl270K9fPwwfPrzBv8+pRDRvwDSWiDkccaFSqZCenm5nL56SkgKNRoOsrCyo1WoAcNheWFiImzebzlJnwPCXmuxYLHD9hVdgi4k8IpnwFCqwOeKCQuUjABQTsB8EgAAZDQvxXEs5awmCUG6mYYNqkIg/IcGDyGKmN5G2FDyAzWmJlJhpPDupVHlSSP4CgGxzKWsJTidIVndPXzFApTJZR6Qtxd1S1af5ySeftOsfrVQq8eSTT2LZsmU4cuQIoqKi8Oabb8LPzw8vvVT3+vaNGzfw8ccf49lnn0Xbtm0brGvDhg0AgNGjRzvsc3G5/Vz5e8Vxz549ERISgpMnT6K8vLzeAWGj0Yi5c+eia9eu1Z7z7+Tk5GDUqFF4+OGH8dFHH9m2Dxo0CAkJCfjkk0/Qr18/tGvXDnq93qFozs3NDe7u7iguLsbbb7+NJ598Er169aqX1jtZu3YtkpKS0KNHDyxZsgQSIm6bzoDGU5zD4TRLEhMTkZCQ4GAvnpiYaDeue/fu6N69u9N09F3d8AdRc+K3e3xZSxAGIsEjKlW7oVLxB49ywN0jxEQpkT6BVAL1WiLJQmVEKlWCld6sJQhCIYHvLZV5UCGRvu0ccUEloTjShcb7dZ5J/AFPAPAjkrRIoc6cwjUCgLecRqDenYj74N0SFBQEANVWHFdtKyoqwp49e3Dw4EEsXLgQ2dnZtjG3bt2y/TctLQ0BAQFwdXXFe++9B3d3dwwaNAhpaWm28Xp95dw0LS0NMpkMYWFhDuctLS3Fjh07EBgYiEcffdRhv7e3N9zc3FBWVlaj7szMTBQXF9c7gJ2SkoJLly7h888/R3p6um17UVFlizetVou0tDSEhIRAoVBgw4YNKCwsxMCBAx2ONXDgQPz444/4448/0K5dO/z444/QaDR2Y2bMmIGZM2fik08+QUlJCSZMmGD371RVZX7z5k1UVFQgIiLCITi9evVqvP/+++jZsyeWL19+V9XbnNvwADaHw2FKVRV21f8/9thj0Ov1sFqtMBqFWXSdu1wryHmcxSDQeMGm0NMJoHOdegKvn1Q+SyqEymjYvWaYaSRe+MpovESGwIO1BEG4bKJhO02Btko/1hIEwUDEHpRKpTkVqCSYmIhYTlMhw1jEWoIgdHEJrHtQC0dCJIkmRE7jvfNyRR5rCc2aLl26YN26dcjKynLYVxWo9vX1RUZGBgDgzTffrPY4ixYtwqJFi7By5Ur07t0bmZmZyMvLw5NPPlnt+AEDBsDPzw+//fabw74ff/wRZWVliI+Ph0zm2IZCIpHgvvvuw5EjR5CdnY02bdrY7c/KyoJcLoe3t3et134nGRkZsFqtNfauriqG+/HHH9GmTRtotZVr/Gaz41y7apvJVOlq1atXL6xevdpuTHh4OAAgMzMTer0eY8eOrfa8EyZMAFBpqX5n5fl//vMffPjhh4iNjcWyZcvs9nHuDh7A5nA4TKmqwq76//j4eBiNRkREROCvv/5CRUWF03tgh7601qnHdzadFyXWPUgEeBEJNlBZGAqD+CdxZ1kLEIgMAnZ1AMhYPhURsc18QE4jSHbZSuPv001Co3d7KcRftUullUpruSdrCYJwi0hbCipYibynUOmB3Uoq/vcxAHCV0pgjFBFw3fGW0KjYvViRy1qCIAQpvFhLaNbExcXB09MTW7duxQsvvAAPj8rE5NLSUmzevBkKhQK9evWCwWCwVWvfydGjR5GSkoKJEyeie/fu+Mc//gEAmDNnDoqLix3Gf/rpp7h69SqSkpJqDLpu2LABUqkUI0eOrFH38OHDceTIEaSkpNgF1X/++WdotVrExsY2KKj71FNPoVu3bg7bf/rpJ+zcuROzZs1CVFSUrR93dHQ0AGDLli144okn7H5n8+bNAIDOnTsDAAICAhAQEFDteadOnYohQ4Y4bE9JScHRo0excOFCeHl5QaG4/Yz54osvkJSUhL59++KTTz6xs37n3D2iCWBbaKwpcjiiRKVS2VmESyQSXLhwQbDzn9LPEuxczmAiHCcqYqSIyEKCmUjGfx7E/4JNJeAZSqQXmZ7I32a0C42Mfwr3IErkE7FBpdDHk8pnaSbgRAMAOiJ9PGOUjjaZnJYLlXYqVBKntSYdawmC0FqhZi3B6RQTCNIDQAiRwC6Ve+3d0qpVK8ybNw9z5szByJEjMXLkSEgkEmzatAk5OTlISEhAcHAwACAyMtLh98vKKpNC77vvPjs77Ycffrja86WkpODatWvVWm8DwIULF3Dy5EnExsYiNDS0Rt1Dhw7F9u3bkZKSglu3buHBBx/EjRs38M0336BVq1Z4/fXX6/1vAAAxMTGIiYlx2H7p0iUAQI8ePexiCiNGjMDXX3+NAwcOYMKECejfvz8AYM+ePfjzzz8xYMAAdOnSpc7zdu3atdrtv/zyCwDg0UcftUscSElJQVJSEvz8/NC/f3/89NNPdr/n7u6Ofv361XlejiPifwPmcDjNnsTERFvf6wkTJiAlJQUajQZZWVk4c+aM088/dvpRp5/DmbhKhrOWwGlCKCxOA3R66HHEg5FIsOGqhcYinyeRCo4QCQ33kptSGs9OEwHbaSqLmVRsUI0EvrOUoPK9VUocbVHFCJXKZAWRz7OQgOOFJ5GeyeVEAvVqIu8pjWHYsGFQq9VYuXIlli1bBovFgnbt2uGjjz7CoEGDBNWyYcMGAMDo0aNrHSeVSrF8+XKsXLkS27Ztw969e23B25dffhmtW7d2qk4PDw98//33WL58OX755RcsWbIEUqkU99xzD2bPno34+HinnPf06dMAgLy8PMydO9dhf2hoKA9g3yU03vQ5HE6zRKPRQK/X4+DBg3bb78ycEoJza/8n6Pmamn+E05jcKogsaHoR6RWYRiBIxntgi4tSMgsJNOwkbxLp9V1KxB40QE6j1zeFoMoVIv0Q+8qqtysUG39JHS0qOS0XKhbiYTIabjReRNpvlMDEWoIgUFgtkZO4SsBfTmP+rieSIN5YHn30UTz66KMN/r0RI0ZgxIgR9R7/9ddf17p//vz5mD9/fr2O5eLighkzZmDGjBn1Pn9DmTlzJmbOnFntPh8fH8ybNw/z5s1r8vO+//77eP/99+u9ndN4eACbw+EwQ6/XIykpCUDNwWwhcLW8J/g5mxJeySouCoj0n/WQ0Xgpo0CklcZnmQkafVlLiSzyUcGHSAD7srGQtQRBCJSLv2WDD4FrBIB95hzWEgSBSi9hbiEuLqjMhajk2motNObwXWXitxC/bqWxVnLLQuM6H5D5spbA4XBaAKIJYPOcHQ6nZaHRaHDixAkkJCQAALRarc06fM+ePYJqmYICQc/X1ByS+LCWIAgyItm2equBtQRBuFCWzVqC0/FR0qgITJOI364OAFqBhmWdG4EKTwAoAo2gynUTjerHaIU3awmCUELACcJP5sZagiD4E3G7yJLSWITnCcXiohNoVGAfsxaxliAI7kQqzS8ScDij0re91EJjTei6lEZyCad68vPzYTbX3mpGpVKhVSsaz2ROzYgmgM3hcFoWer0eCoXCVoGdkJDAJHgNABrvcYKfsykZ4i38vxkLJBIaC0NUrjPURfwZ4norjeoNKuSZabxgy4kEsKnca/UW8Qc8ATp9WSlcZ4GFRnJJoIxGyxgq91oqULgHAcBfRAK7bhIaS8KtiFyn3ir+0i4adyCgSEJjLnS2goYbDad6Ro4ciYyMjFrHDB8+nNtyc3gAm8PhsMPf/7bVmkqlQnp6Ov78808AQHx8PABArVbj2rVruHnzptN0SBKXOu3YQmBeFMNagiDIrDQqsDniwUJgEYESwTIaFfUVqD0LWixQSUiwEvEHvWkWf9URAMgl4p8L3TLS+CwLpTSs0g1WGs8UKoFAKj2wPSU0XHc8iHxvb1hKWUvgcBqEzkzD4aydC2+/QZkPPvgAFRW1f9cDAgIEUsNpztCYrXA4nGZJ1YOoqv/1rVu30L17d8F1vPdCC38gLmItQBio2EWpiCwkpOtvsZbgdLwUNGxQqZBLpBdZgNSVtQROE+Ijp3EfKiNitegpFf/nGe3ix1qCIJQR6bFLxbr3XtB4dv6FEtYSBOE+iP9eCwAXibRTMRNJKqawjlBIxKUlQEHDMjlIQuPZyamebt26sZbAaSGI/+nG4XCaLSqVCgMHDkRhYSFMJnaLOPsnH2J27qbAVTKctQROE1JhobGgGeTizVqC06GyWEIFXykNu9diK41AYKiMxsJQvpXGQp8LkSAZhaeKCxGD0FQ9DdtMGQHXAABQuASxliAIVCzET4GGS0sJkeSvNjJP1hIE4UfdRdYSnE6kikaSm9ZII1moQEojQZzD4TQO0QSwadTlcTgtn9TUVCQkJECr1SIiIgK+vr6499577Xphq1QqHD58GF5eXigrq3x5zM/Pd5qmvqt7Oe3YQvDbPb6sJQiClMiCiZGI1aKCQJ9dI5+diIo8IhXYFCyKASCLjOW0+O+1AJ0K7FZS8QfqTUSenaFKNWsJgnDLRONeyxEXeiIOCQVmGnPbYgsNO+bWKm7HLBZcCMz3AEAt4xXYHA6nbkQTwOZwOM2PqmA1AGi1WgCAxWJBUlISEhISoNfrHWzEtVotUlJSEB8fjzNnzgiic+5yrSDncRaDQCOAzREXFVYaC0Mc8VBApGcylYCnG5GK3SgileZ/mVv2XK6+VBBw9qDSM7mYiA1qOyWNajlfIj2TqfTAvmAuZi1BEDxlNNyF1BIX1hIEIYtAr28qbSlKTTQSM4vNNOZCHA6ncfAANofDcRpVwWoAtkD231GpVEhPT0dAQACSkpIQHx+PgQMHwmIRboEu9KW1gp3LGXRZ9D5rCZwmxJVItm0uAVssFZHPkgqRCm/WEgSBij2onMh1ZhNxDqCyCK8ikGCSYSxkLUEQDERaxlwkcp1SJY3KxwrQSDBRErjXAoCOSGVykJxGlSeF762OiOMOlXktb7nG4XDqAw9gczgcpiQmJtoFt4ODg2E0GpGSkgKNRoOsrCynV2K/ZJnt1OM7m0PwYS1BIGgEG8otRtYSBCFI6cVagtMpNNGo2KXCLSI2i1QWEtylNKrlKCxmAnSenZ4EvrdWK40KTyqVrBxxQeV7W0RkzkdlLkQlmS9QKv5AfZmERhJNiZVGoN5C5JnC4XAah2gC2BYacQ0OR5RUVWEDlQFtjUZj65NdFcjes2eP086/f/Ihpx1bCFwlw1lL4DQhEgmNB1qaPo+1BKejVniwlsBpQqgEyKjcgzylNOwk84hY3xuJ2E4bCSSYxLjQqGTNNovf6hUASrg9qKig4tISKRd/oi0A3CBilS6x0vje5pjE73DmKaVRmUylnQqV+TuHw2kcoglgcziclsvfq7ATExMBAAMHDkRCQgKuXbuG2NhY/Pbbb06xFt+9eVmTH1NIhnjTyFqkElShgq9C/H1ZzRB/oAEAIq00AoGXpTSmzVR6kVEJ7FKpbAiWi/+ZAtDo/XjOQKOfuZ+cRpJbhFLNWgKH02AKrDSstZUSGnNbNZGgp0wiZS3B6VCYBwF0rNLzTTrWElocFosFY8eOxcmTJ9GzZ0+sWbPGtu/AgQP47rvvcOHCBRQUFEAikSA0NBSPP/44nnnmGXh6etoda82aNdi3bx+uXr2KoqIieHh4IDIyEqNGjcKwYcMgk9128jKbzVi4cCFOnz6NzMxM6HQ6+Pr6IiYmBpMnT8ZDDz1Urd7169fjm2++wfXr1+Hm5oZHHnkEr776KkJCQhp87Tdv3kRcXFyN+48fPw53d/ca96empmLkyJEwmUxYvHgxhg4d2mANAFBWVobBgwcjIyMDI0eOxLvvvmu3v3379rX+/qhRo/DOO+/c1bmpQmO2wuFwmh13Vl3XhK+vL5KSkqDRaKDX6xESEgJvb2+nW4pzOBwOp/6kSWgs8lGofAQADyKVyVTwlYnfThIAbhppVJE9qAxiLcHpSIlUeBYSsSjON9GoNI8h0gObClRcd6igJeJ4cbE0k7UEpxPjHspagiDkEQnsWoi0jWlK1q5di0uXLlW7r2r7iBEjEBAQAKPRiNOnT2P58uX473//i02bNsHNzc02/vTp0wgKCkJsbCzUajV0Oh1++eUXzJ07F4cPH8YHH3xgG2s2m3Hq1Cl07doVQ4YMgYeHB7RaLbZt24ZJkybhnXfewahRo+z0fPzxx1i+fDnuv/9+zJ07F/n5+Vi7di2OHj2KjRs3IjAw8K7+Dfr374/+/fs7bHdxqXkdw2QyYd68eVAqlTCZTHd13io++ugjFBQU1Lh/8eLF1W5fu3Ytzp49i8cee6xR56cID2BzOBwm/L3qujoKCwsxYMAA5Ofn27bdvHmzybWEFd/f5McUks4Ru1hLEASZVfwZxQDgRiSr2CwRfzBQZ6YR2KVSgV0q96x7kAigYg9KpY+n+O+0laiJBOq1VvE7JJiJJAuFKmhYFF835Nc9iNNioPLs9CHyTKHyeSpAYx0hwLMtawlOJ8dMI7CrkMjqHiQCglxozIWaihs3bmDp0qVISEjAe++957D/ueeew3PPPeewvU2bNliyZAl2796NYcOG2bZ/+OGHDmPj4+MxdepUbNu2DQkJCbZKaaVSic2bNzuMnzRpEvr3748vvvjCLoB97do1/Oc//0GHDh3w9ddfQy6vDEHGxsZi1KhR+Pjjj23uqw2lffv2Da6eTk5OxvXr1zF16lQsXbr0rs4LVFZ5p6Sk4PXXX6/2MwBQrTadTocFCxYgMDAQjz766F2fnyqiCWDTeM3lcMSLSqVC9+7dAVRaRVsFzMRztVT/0GkphMloTPoyzOLv6QQApUTsom4ZxP95einc6h4kAqhUYGcYxf+dBWjYD1IiQFazjZqY0Fsbl0nfUrhkEP/CrYuUSCIfkcARlWcKlXYNVMghUv2oJNIep5VEyVqCIHgQSISnkmjrRSSJJkBK4zqbivnz5yM6OhoTJ06sMXhaHaGhlc4FxcX1c6y6c3xdVt/u7u7w9vZGXl6e3fYdO3bAbDZj4sSJtuA1ANx333144IEHsHPnTrz99ttQKu/u/mwwGGA0Gmu1DK/i2rVr+OyzzzB79ux6ja/tnPPnz0e/fv0QFxfXoM9g+/btKCsrQ3x8vJ01O6d+0JitcDicZoO/f/X2aomJiUhMTIRGo0FWVhbUajUOHjwoiKbWk7cLch5nkW0ZzlqCIFBZAGtFxL5XqhT/yyeVHthUoLI0TaUaR0akGsdgNbOWIAhUqnZbK31YS3A614hU7BYQsRCnYglP5TqpBI+6K2hYwheCRvJXsZVGgniaqYi1BKdDpTK5zEqjjUGehcZcqLa+zQCwd+/eOo+xfv16/Pnnn9i0aROk0trfY0tLS1FRUYGysjKcO3cOS5YsgUKhwCOPPFLt+KKiIpjNZhQVFeHQoUPYtGkTwsPD0aZNG4exFosFhYWFsFgsyM3NxYYNG3DlyhWHquOTJ08CALp27epwjK5du+Lo0aO4dOkSOnToUOe1/53Vq1dj2bJlsFqt8PHxwYABAzBr1iz4+Di+J1mtVsybNw8xMTGYMGECtmzZ0uDzVbFs2TJotVqsXr0aRmPD/kY3bNgAqVSKkSNH3vX5KcMD2BwOR1ACAgLsfq7qb11QUCBo0PpOrq1+UvBzNiVtIlkrEAaZhMaCCRU6E+gVeKwim7UEThOiJLJgQiVZyItIshCVKk8aV0kjwSRA0Yq1BEEwE+n76EHkXksFCvcgADhrFn8gEABCybi00Ejm66MIYi3B6Vyw0uhnnmcuYy2B04zIycnB4sWLMXnyZMTExNQ5/v/+7//s7L7btm2Lzz//vNqANAAMHz4cGRkZACodUR9++GG89dZbUCgcXR0yMzPtAvIqlQqjR4/G66+/7qAZAIKCHO9LVb2vs7OzGxTAlkql6NGjB+Li4hAWFgadTofffvsN33//PQ4dOoT169fD19fX7ne+/fZbnDp1ql6B/9o4f/48Vq1ahfnz5yMwMLBB7U3PnTuHs2fPIjY21lbdzmkYPIDN4XCYoVKpkJ6ejoiICJw5c4aZjikoYHbupuCQRPzVOACdajkqFuJ6AtXJUiKBQCpQqajXW2hU47hIaLwG5RNZAKOSYKIi8PpeQqTqqIDI32aA3IO1BEHwJWJRnEGkXUMrIq0MqAR2o6Q07kO/mXJZS3A6UXIa7fOkMhqtyLRE5kL1qbCujQULFkCtVmPGjBn1Gv/cc89hyJAhKCwsxPHjx/Hnn3+isLCwxvEffPAB9Ho9tFot9u7di6KiIpSUVN8+zd/f31aBfPPmTWzbtg1lZWWoqKiws+cuL6+srq/OItzFpTK5Ua/X1+t6qggJCcHXX39tt23YsGG4//77sWDBAixduhQLFy607cvMzMSHH36IKVOmoH379g06152YTCbMnTsXnTp1wtixYxv8++vXrwcAjB49+q41UEf8b8AcDqfZUmUZnp6ejj///BMAbBbiQga0pxtadsDwNyJWblSgUJkMABkWGi8rFIiw0qiuusxagECoifRco5KQoCISqOf9Z8XDP2Q0FqfPsxYgEFSSS24RsSimYiFeSiSRhsrfZ6aVhk2xWqZiLcHp6Ij8bVLBSCSJpjH897//xb59+7B69WqoVPX7G4+OjkZ0dDQA4IknnsCuXbvw8ssvQyaTYdCgQQ7ju3XrZvv/4cOH4//+7//w9NNPY/v27QgPD7cb6+Ligocfftj286hRozB27FhMmjQJP/zwg61q29W1ck3BYDA46K6oqACAel9PXYwbNw7Lli3DL7/8Yrf9zTffhJ+fH1566aU6j5Gfnw+z2f77WNUCNTk5GRcvXsSWLVsgaaAzaHl5OXbs2AE/Pz/07du3Qb/LuY1oVjRoLEFxOOKjKojdvXt3AJXZWVaBLfWknf4U9HxNjRWDWUsQCBoLJhdNhawlCEI7uTdrCU4n21rMWoIg/M9Co18pFaj0TDYQqSKjUlEfqfBmLUEQ9AT6lVaIZ4miVqhY996yVLCWIAw0XlPIWIi7S2hUYN800XhX8SKSnOlHoGWDnIgr3xljHmsJguBG5F57txgMBrzzzjvo1asXQkNDkZaWZrdfr9cjLS0N7u7u8PPzq/E4AwYMgLu7O7777rtqA9h/Z9iwYfjmm2+wZcsWzJw5s9axSqUSgwYNwuLFi3H8+HE8+OCDACptwi9evIjs7Gzcc889dr9Tm7343RIaGoqzZ8/aft6zZw8OHjyIhQsXIjv7dmu/W7du2f6blpaGgIAAuLq6YuTIkTYb9SouXLgArVaLzz77DEOGDIFCobB9BlXXoNPpkJaWBk9PT6jVagddO3fuRElJCcaNG1etJTunftB4O+RwOEyoylaqi8TERFsgOzU1Fa1btwYAHDlyBAYBqqOXn3+47kHNmXtoWIhTodxCI6uYgoU4FagswhcSqa7yl4i/egMArphpLNoSWecjk3gha2DWf0vkf/qMugeJgACFJ2sJgnDLpGMtQRBiiDgoUUFKJCNBRcQq3URkjlBhFf/7dRlofJa3DNXbN4uN1m7hdQ8ijF6vR35+Pg4dOoQBAwY47P/rr78wYMAAPPHEE0hKSqrxOGazGUajEUVFRfU6b1WFdH3HV1mBFxfffr/u1KkTDh48iBMnTjgEsP/66y+4ubnZqsQbi8ViQXp6ul0QvyoY/eabb1b7O4sWLcKiRYuwcuVK9O7dGx988IHtuu/k1q1bqKiowKZNm7Bp0yaH/Tt37sTOnTsxdepU/Pvf/3bYv379ekgkEowaNepuL48DHsDmcDhOJCAgoEHjq4LYVQ+/1q1bIyIiAnq9HqmpqcjLc04W4v7Jh5xyXKFQYRhrCYLQUKuWlgqV61QRiKrIidjyRRKxEL9lpVFFVggagXoqltMVRBZts0w0Fvr8CfQTpjIPouICwREXVCzErxkLWEsQhNYKx2oxMZJHpM9upln8c6FgmfjnQQCgkNJYR6DwnW0Mrq6uWLp0abX7Zs2ahXbt2uGll15CcHAwACA3N7faQrJ169bBYDCgS5cutm1lZWWwWq12fasBwGq14quvvgIAdO3a1bY9Pz8f3t7ekErt1/GKi4uxZcsWyGQy3HfffbbtgwcPxhdffIGvvvoKgwcPhlxeGYI8ffo0/vjjDwwfPtzWC7u+FBQUVFvlvHLlSuTn52PixIm2bX379q22wvvo0aNISUnBxIkT0b17d/zjH/8AYG+jfidhYWHVfgb5+fl4++230bNnT4wdOxZRUVEOY65cuYLjx4/joYceQkRERL2vk+MID2BzOJxmRWJiou3/NRoN9uzZw1BNy4DKQh+H09Kg0mM3TUIjsJtlpPGCLZOIP7kEAAIJBAIBoNRCIyHBT07DCYLCX6cPkc/STKBSjsNpqUQraDicpZnqV13X0vEi0BsaoOMcQAEqcwQqrY7uFoVCgYEDB9a439fX127/4MGD0bVrV3Ts2BGBgYEoKirC0aNHceDAAYSGhmLGjBm2sWlpaXj66acxYMAAtG7dGmq1GlqtFjt37sTFixcRGxuLf/7zn7bx27Ztw9q1a9GvXz+EhYXBxcUF6enp2Lp1K/Ly8vDKK6/YBYyjoqLw3HPPYcWKFZg4cSKGDh2KgoICrFmzBn5+fvjXv/7V4H+PN954A8XFxejatStCQkKg0+nw+++/49ChQ4iOjra7vsjISERGRjoco6ysMqHpvvvuq/XftopWrVpVO+7mzZsAKq3LazrOhg0bAABjxoyp++I4tSKaALaVP6c5nBaBSqVCQkICDh48yFqKjT092rGW0CheOPggawmCcJNIdZXQPeBZcc4o/r7JVD5LKgTLW7GWIAh6IlWBbuJ5DaoVd6mStQRBUBJxvJARWJyOktJILskl0paijEjvWY64KLXSaOlE5dkZJHVjLUEQ9ARcd/RELMTVChpzIRci9yCheOaZZ/D7779j3bp1KCwshFKpRGRkJF588UXEx8fDy8vLNjYwMBDDhg3DsWPHsHfvXuh0OrRq1Qrt2rXDwoULMXLkSLtq6+7du+Ps2bP49ddfodVqYTAY4OPjgy5dumD8+PF45JFHHPQkJCQgJCQEKSkpePfdd+Hm5oZHHnkEr7zyCgIDAxt8fX369MG2bduwadMmFBYWQi6XIyIiAjNnzsTkyZMdqslZYjAYsGXLFqjVavTr14+1nBYPjZUbDofTLLjTHjw2NtaptuAN4daz3qwlNIqMxTR6y1GpNO+ubPhEriVy1iT+ADaV72yGuZS1BEHINtLomexBpEol3SD+exAAuBIJYLsqaPTx1BNw9rhBxN7flS/FcDjNlutE5ghU5nznDOzXnISAQtKiB4FrBIAyMw2HM7OUxvzdGVy4cMFh20svvYSXXnqpXr/v4+ODN954o97n69ixIz744IN6jwcq18PGjh2LsWPHNuj3amLkyJEYOXJko44xYsQIjBgxotFawsLCqv0MqlAqlTh8+HCjz8OphL81cTgcQVCpVEhPT0dKSootkB0UFIR7770X165dQ+vWrZlVZb8T/heT8zYVZtcnWEsQBCq2thUEFqcBGrZYVPoEPiylYbO4T06jMlklofF64KGk8b0ttOhZSxCEInM5awmCUEigj6ecSDWOF5HK5BIzjXtQjNKx5ySn5aIgch+iEPAEAAuRxKgAApXmrSU0np0GBY1KczORv00Oh9M4aKxQcTgc5iQmJkKj0SAhIQFarRYRERFQq9UoKCiAVqu19Y9ggX9Oy7bgvnAPjUV4KnbMCiJBz4yKAtYSnI5a0XwsjJwJlR7Y5RYadpJ6CQ/Ui4lWUhfWEgSByt+nksD39iGXENYSBKGQiEVxqZRGhScVrESCDe2UfqwlCEI5kbYxRiIJ4hSu8yZovHdSgUJRA6d2SktLbX2pa8PfnycKUkb8b8AcDqfZkJiYCKCyD4Zer0dSUhI0Gg0A2ILZhYWFggez908+JOj5mhpXyXDWEgRBSiSwSyULtbWr+CegxUSqjqhAxQWi3EKjL6ubjIZlHYWeyQAgJ/L3SaHK85aVxuL0aX02awmCoCJiD0rhbxOg4y5kINJnN9tMoxUZlUpzCu1xOrjQaLemI/I+RsUdgVMzycnJ+Oyzz+ocV5tdN0f8iCaAzXN2OJyWQ5WdeJWV+JkzZ5jq6bu6F9PzN5ZDRCqwZaCxOE3leWayin9hyEIkozjCSqPC8yKRRVsfOQ3nACoV2EYi9yETkesMkYj/fvtzxQ3WEgTBX9GKtQRBoGIhzhEXKvEsldZKDwWNYOAVSwlrCYIQrPBmLcHpaAm0UgGAPCON7yyVuRCnZoYNG4Zu3bqxlsFp5tCYlXE4nGZFlZ14eno6IiIiWMvhFdgtBCoV2OUEArsAkGMoZi3B6VB5IfufRfzZ/gDI5IeXEsn4l0lpJEXJJDSenTmGItYSBOFHUylrCU6HSsWuNxFr7UITjWADR1xcNtKY254n8t7pJaPRN9lI4POk4ohFZR2hnEg7FU7NhIeHIzw8nLUMTjOHB7A5HA4TqoLYWVlZ6Nixo81CHKi0Ez948KBgWnZvXibYuZzBEG8aYRULjTV4KIm8lHnJ3VhLcDoGAosIANBORqNiN51ICNuFSGUylQWTVgQqdgEg1EXNWoIgeBDoaZ5hLGQtQRAuVeSyliAIVIINHHFRRCTxwltBYw5fRmTO5ysT//u1zkKjzUiRuZy1BEFQSGSsJXA4nBYAjRUqDofDjCqb8DsRMjhdH9wM81hLaCR9WAvgNCFpJvFXJlOhNQEbN0p4EOmf50KkXUMrCY0qTyORxhRUbIqzDIWsJTgdN5n4g/QAEKL0Zi1BEGJkXqwlCEI+kQBZLyuNqsDL0jzWEgSBQsAToOMuVG4R/33Ii4h7SQFoJNGYibQA4nA4jUM0AWx+y+Nwmh9Vva5TUlJs2zQaDTp27Mi87/WdlH8YwFpCozAvonEHlFlpBFWovGBTyLa9ZLjFWoIgdHGh0T+Pygt2IZFF+AAii7atxPO6VysFBFw9AMBgNbGW4HTaKH1ZSxCESAmN76yer9RwWiAPqUJZSxCEIxWZrCUIQqCcRuJFEIG5bT6RCuxAhSdrCYIQJvNgLYHD4bQAaKxocDgcJlTZhCckJNi2nThxAl26dEFsbCwA4Nq1a9BqtTAajbBa2dizRr/Qnsl5m4p2i1grEAYLEfversqWnVBRX84YxR/cVUj5NEtMKIjYoPoSqWzIMou/lzAASIj0wDYRadkQSsDZ43IFjcrHUiWNymQZEVcPLwkNlxYq/GXQspYgCFQCu7kmHWsJnCZCTyCRD+DtNzgcDudO+Moqh8NxKomJiXY/T5gwASqVymYrrtVqYTCwrTi95D2Q6fkby2Dv3awlCIIUNBbhzxII7AJAR4X4K6z+qMhiLUEQIqw07F6vmItYSxCEUgmNCmwqFBDpoVdBwDYTADJMBawlOJ1WclfWEgTBR0IjWaiVhMaSUyuI31kIAIjkE6OciCOWB5GWDVSS+bKN4m9F1lUVzFqCIOwvucRagiCkS2msfXE4nMZB422Cw+E0GyIiIpCVldWsLMQHDH+JtYRG4frLz6wlcJoQMyMnAqE5ZRR/hRWVxZJ0CQ0rNyoZ/wYilaxeMhrBI3civdupBLAlBJL5qCQsUnEWirHQuAfpJDQ+TymNy4QHkTlCsVnPWoIgUHh2AoC/QvwV9bkWGt9ZKvgouIU4h8OpG9EEsInMozmcZoVGo7FVUgNAamoqiouLmVdUN5Rrq59kLaFRtIlkrUAY5ERslKjYFN/Q57OW4HR6e7RmLUEQDpffZC1BEIa6RrGWIAhGIrPqC5YS1hIEgUI/RAAIJ9JDT+ki/jnCdTMNq9e+ZnfWEgThkJyGC4TRSqPXd5yVxvc2Uk7D4t+diENCMGgk0pRB/PehNGsZawmCEKbyYy1BEO4hcq9tLO3b19z2cvv27WjXrl21+3JycjBo0CCUlJRg1qxZePHFF237bt68ibi4uFrP+69//QsvvPACAOCHH36ARqOpdfy3336Lbt261ev4x48fh7t74+YUZWVlGDx4MDIyMjBy5Ei8++67tY7/5ZdfMH36dABASkoKunfvXq/znDp1CqtWrcL58+eRl5cHi8WC4OBg9O7dG1OmTEFgYKDD7/z5559YtWoVzp07h8LCQvj5+aFbt26YOnVqjZ8Xp2ZozFY4HI5T0Ov1SEpKsgWyfX19ce+999oswgsKCqBWqwFUBrctFgvy85tf0Ory8gusJTSKgWjZPbw59lDJEG/t6s9agtOJttKo3viDtQCB+MPc/J5fzsBMZBGeikNCgZFG8ChM7slagiB0sYrfXjtf2rISYe+WnyB+q1cACIH4v7MAUAgaLhDF4s+hAQB0AI3krzPWUtYSBCGHxpQPZgJJqIFE2m94KRSsJQhCkZXGs7Mp6N69O0aPHu2wPTi4Zlv9BQsWwGyu3l3Nx8cHixcvrnbfxx9/jMzMTDz22GO2bQ888EC148vLy7FgwQL4+vqiU6dODvv79++P/v37O2x3cWl8C4uPPvoIBQX1a6+k0+nw1ltvwc3NDWVlDUuEuX79OkpLSzFo0CD4+/tDKpXiwoUL+P7777Fjxw788MMPdkHsPXv2YObMmYiMjMSECRPg4+ODq1evYv369di9ezfWr19fa1ICxxEewOZwOI3mzkB2eno6AgICkJSUhPj4eNuYvLzmaxcc/ULLfnBEv89aAacpKSXScy1QLn6LsytErLWpECClsZhJhSgJjaCKTkbDEj7bSuN+e0kq/oU+nZnGPKicyKKtUUojKcpLQqPCk0j8Gn9aaSSYUGllICPyzfWWiD/oecVM5W+TBm5EXCCagvDwcAwdOrTe4//73//iwIEDmD17Nt5/33HR2M3NrdrjpaWlISsrC126dLELsoaHhyM8PNxh/IYNG2C1WjFixAgoqkm8aN++fYN015fjx48jJSUFr7/+Ot577706xy9evBgSiQRjx45FcnJyg841ZMgQDBkyxGH7Aw88gISEBGzYsAEzZsywbU9OToZCocB3331nK+oDgK5du2LmzJnYsmUL5syZ0yAN1OF3ChFz/fp1bN++Hb/99htu3LiB0tJShISE4OGHH8a0adMQEBDAWiJHZCQmJtqC2EBlJpher8fBgwcZK6udKahfxlZz5X8SGvZCVKrlZEQsxEOk4g8eUciCp0S2hUaVyi0jDfveKzIawQarlcZ9yESkd7uHrPHVCs2d4dIg1hIE4WdJIWsJghBGJPmrxGpiLUEQqPTANhHpaU4lkYYK10yFrCU4nWiFuu5BIqCYSFFDmrFlr8UKjdFoREVFBTw8am+dlJ+fj3feeQfPPPMM/vGPfzToHFUB6VGjRtV7vEQiqXW8wWCA0WhstGX4ncebP38++vXrh7i4uDoD2EePHsX69evx+eef4+zZs02iAQDCwsIAACUl9q3JdDodVCoVvLzsLfKrqrRdXcW/FtrU8AC2iNm4cSNSUlLQt29f/POf/4RKpcKJEyfw7bffYtu2bVi3bh3atGnDWiZHZCQmJiIhIcH2c0FBAWJjY5GamoqKigqHG3tzYO5yLWsJjWKglcYknkrmNBX73kyL+G1ts000MsTDlTTuQVTwktN4ocox0Pj7DFTSsNZWS8Xv6gEAVwzN19GoqTjk0vzeFZxBH6s3awmCkEbEWpsKFhr5xLiXyDPlhlX872MAYCRSz0qhnUqhhYbjjtZMI3G6v4tjRa8YqavX9N69e+s8xq5du7Bt2zaYzWa0atUKffr0wb/+9S9bEPVO3n33Xbi6uuLll1/G6dOn663TZDJhy5Yt8PDwwBNPPFHn+IsXL+LkyZN46KGHEBERUe2Y1atXY9myZbBarfDx8cGAAQMwa9Ys+Pj41FvX31m2bBm0Wi1Wr14No7H2eaZer8f8+fMxYMAAPPbYY40KYJeXl6O8vBwVFRW4fPkyPvzwQwBAnz597Mb16tULycnJmDNnDqZMmWKzEF+8eDGCg4MxduzYu9ZAFdEEsKlMpBvC448/jmnTpsHT8/YkZsyYMejSpQvefPNNfPLJJ1i6dClDhZyWikqlQkJCArTa6gO/d+6PiIiAXq9HUFAQ1Gp1s6zGDn1pLWsJjaLzokTWEgRBSqQ3tLuURlVgEIEK7BzQWIS/YaCROR2k9Kp7kAhwIWA/CABKqWheg2pFZ6ax0GcmUmne3kX8DlpU5nupUj1rCYLgDRrPlHuJ9PqmQh6RxIt8IsFAKvhIxe/SEiWtvfJULCglMtYSBOG8hcZ6SWPp2LEjHn/8cdxzzz0wGAw4duwYNmzYgIMHD+Lbb7+1K048cOAAduzYgZUrV8LNrWEuOPv370dubi7Gjh1br99dv349gMpY09+RSqXo0aMH4uLiEBYWBp1Oh99++w3ff/89Dh06hPXr18PX17dB+gDg/PnzWLVqFebPn4/AwEDcvHmz1vFLly5FQUEB3njjjQaf6++sWrUKn332me3nsLAwLFq0CD179rQbN2vWLJSUlGDLli3Ytm2bbXv37t2xcuVK+PnRcFFtSmis3BDlvvvuq3b7oEGD8Oabb+LChQsCK+KIhcTEyoDpnZXW1e3XaDTYs2ePbXtjMqycyUuW2awlNIrf0PCHPqf5QmXhNs8i/oVbC5Fqeirkm2hkwrsSSaKhcp1mIlVHVPp4UmhNcblC/FXmABBBxL0kw0rj2elLIDETAB4ADUt4A5E5vK9UxVqCIFgJPDsBGn2T/zLRmCNEymkkTiuIuCxu3bujUb+/adMmu58HDx6MPn36YNq0aXjvvffw5ZdfAqi0rn7zzTcxePBg9O7du8HnqQpIjx49us6xBoMB27dvh1qtRr9+/Rz2h4SE4Ouvv7bbNmzYMNx///1YsGABli5dioULFzZIn8lkwty5c9GpU6d6VTGfPn0aa9euxVtvvQV/f/8Gnas6hg0bhm7dukGn0+Hs2bPYt28fCgsLHcbJ5XIEBwejc+fOeOKJJxAYGIjz588jOTkZ06dPR3JysoO9OKd2eAC7mdMUNhN/JycnBwB4xgfHqWg0Guj1esTGxgIAUlNTkZdHY7IpNFQCnlR6YFPpV3rTVMRagtPp4hLIWoIgHC6vPetVLFDpsVtipmEn6S6jsWhrMtP43ka5NM8kyabGRyL+xIswlaMVohipIBFqALyJLDl5Wmkswh+W6FhLEAQqltN6InNbfyKBehmBdSFvOY3kr0Ii/elpPDmdw6OPPorOnTvj8OHDqKiogIuLCxYvXgy9Xo+5c+c2+HhZWVk4dOgQOnTogA4dOtQ5fteuXSgsLMTkyZOhVNb//WTcuHFYtmwZfvnllwZrTE5OxsWLF7Fly5Y614eNRiPmzp2Lrl271isgn5uba/ezTCZzKMILDw9HeHil7f2AAQMQFxeHsWPHwmAwYNq0abZxs2fPxsGDB/HTTz/ZAuf9+vVDp06dMHXqVKxYsQKvvfZava6ZUwmNtwmOHVW24SNGjGCshCNGqgLXVfbhd1Zgc5xDmJxGj66bJhr2Qj4yGhUcFKCx9EWnB3aEjIZlXYaljLUEQTASqa5yI2IJTwUKlea9K2h8Z7coaSQLuRGxQU0Fjc+TSmBXRWSpVCahET5SgcZ9iELCUAloJF1QcVAyECnecBZhYWE4efIkCgsLkZeXh/Xr1+OFF16ATqeDTleZcFZVxFhUVIS0tDT4+vrCw8NxXWPTpk2wWCz1CvYCt6u1R40a1WDdoaGhDe5FrdVq8dlnn2HIkCFQKBRIS0sDcPv6dDod0tLS4OnpCbVajZSUFFy6dAmff/450tPTbccpKiqyHS8tLQ0hISFQKBTo1auXg8Z9+/bVqqlTp06IiorCd999ZwtgZ2Zm4scff0Tfvn0dqr579+4Nd3d3HDlypEHXzhFRAFust/a7qbCujS+++AK7du1Cv379MHz48CY9Noc2dwauU1JSoNFokJWVhY4dO0KtVqOgoKDZ9sDWeI9jLaFRvOh3mLUEThPiIRHNo7lWcghk/NNYEqLTA7tcQSMTvtRiYC1BEMKIWPMVWk2sJQiCJ5FAfRmBZ+fvLuK/RgAgkIsAALhuoWEh7k7kHiQhUOEJABlmGonTQTJ31hIEoYhINWsJxD/ncyWSFKWWiL+fOQCkW2i4ejiL69evQ6FQQK1W4/Tp07Barfj888/x+eefO4xds2YN1qxZgwULFmDcOPs1cIvFgk2bNsHNzQ2DBw+u87xpaWk4evQounfvbtd/uz5YLBakp6c32BX41q1bqKiowKZNmxws1QFg586d2LlzJ6ZOnYp///vfyMjIgNVqxQsvvFDt8apaov74449o06YNVq9ebbffxaV+f4N6vd4WFAduB9TN1bigWa1WWCyWavdxaofGKjkHALB27VokJSWhR48eWLJkCRk7Xo7zUKlUSEhIgFarRUBAAJKSkpCQkGALZjfXgPXfaVu4k7WERhERQePhpyDysnLZWMhagiDEKMRv91pKJHBEpQJbTuQeFCbzZC1BEK6YaCReUGkzQuV+qyXgkBBnodFjN0NO45lynsYtiER/egAIlNCwYo6S07gPUaGQQGAXAFoRWOJXEZnXZoJGQvFAiS9rCc2eqmKwv7Njxw6cPXsWffv2hVKpxH333Wdz3L2Ty5cv49NPP8WgQYMwYMCAau3BDx06hMzMTDz11FPVVmf/nQ0bNgCovfq6Jt0rV65Efn4+Jk6cWOd57iQsLKza68vPz8fbb7+Nnj17YuzYsYiKigIAPPXUU+jWrZvD+J9++gk7d+7ErFmzEBUVhcDAyrZ/Dz/8cI3nzs3NrbaH9t69e3Hjxg276u3WrVtDLpfjzz//xI0bN2yW41XnLi8vR6dOnep/4RwAPIBNhtWrV+P9999Hz549sXz5cri6cotaTuNJTEwEcDtzCagMaqenpyMlJQXA7crs5twDewpa9iL2Ian4A4EA0EPuOGEQI78aslhLEAQfAlMQs4TGYiaVCuw2Lg3LEm6pFFlpLJhYqVjW8YRVUfGkRPxzoTMKGomZVPACjcpkKv1Ks600rNKpVD9aiSReUOgNTQUqM4SbZhqVyVIauXyNYvny5Th+/DgeeughBAcHw2g04vjx49i9ezf8/f0xb948AEBgYCAGDhzo8PtVdtXR0dHV7gduB6THjBlTpx6j0YjNmzfDy8sL//znP2sc98Ybb6C4uBhdu3ZFSEgIdDodfv/9dxw6dAjR0dGYMWNGnee6k1atWlWr/+bNmwAqLb/v3B8TE4OYmBiH8ZcuXQIA9OjRA927d6/XuadNmwZPT0/btZSVleHkyZPYtWsXvL29MWfOHNtYb29vTJo0CV9++SVGjx6NsWPHIigoCKmpqdi4cSO8vb0xderUBl07hwewSfCf//wHH374IWJjY7Fs2bJ62yBwOHdDYmIiNBqNLahdUFAZ2Lj33nubbRB7mfQD1hIaRUfre6wlCMIlIvZCKimNR3OARfxvK1opjUAglQpsrZmGDSpHXBiIVCa3ltBIzt1kEn+SWxcpjWQhE5HAUZaFRsDTlUgLILG27vs7ba001sx+tdJIQg2V0qiop1CdXEgkhN1LSqMy+Rr0rCU0ex588EFcvXoV27dvR0FBAaxWK0JDQxEfH4+pU6fC17dx35W8vDzs378f7dq1Q+fOnescv3//fuTl5WHixIm1xpf69OmDbdu2YdOmTSgsLIRcLkdERARmzpyJyZMnw9295bSwGDVqFPbs2YONGzeisLAQMpkMoaGhePrpp/Hss8/aqrirmD17NqKiorBx40asWbMGBoMBvr6+GDx4MF566SW7qmxO/RDNLJvKRLqhfPHFF0hKSkLfvn3xySefQKlUspbEESmpqalISEhAQUEBsrOzm2WguiZcLS07AGwhsgBWQGQBzEKkKnCLWfyL8BUmGoEjXxmNRSF3KY05FBXLaSqBXSr9Sv+yFLKWIAih8lasJTida0R6JktZCxCIG1Ra4yjF745AiesSGkmoMRIabWPSrOJvvwEAeon4V8bTTEV1DxIB0XJv1hIEwZuIS0tjiIuLQ1xc3F3//oMPPogLFy7UuN/Pzw9nzpyp9/EGDBhQ6/GqGDlyJEaOHFnv494tYWFh9dJTxcyZMzFz5swGnWP8+PEYP358vcdLJBLBrp8KoglgcxxJSUlBUlIS/Pz80L9/f/z00092+93d3dGvXz9G6jhiw2KxICkpCRqNBkajETt3VvaV1mg0+Ouvv2CxWGA0GlFSUsJYqSMt3UL8AGhUP1IhWkHj87xkbNl/d/XBYhX/IgJAx0K8rQuNxWkqSVE5xmLWEgRBJqERJqOy0Eeh1/dDEi/WEgShiECgAQCkChpJNFSSv2g8UYBWEL9TFADoicz5IiU0km2vEHCs6yMLrHuQCCgiUmluJnIP4nA4jYMHsEXM6dOnAVTaQcydO9dhf2hoKA9gc5qcOy3EDx48yFpOvUhu4QHgNqwFcJqUq6ZC1hIEQU+gV+C9RKpx/tJnspYgCBVEFhJkRJanPWQq1hIEgUrfRyq9AtvKxF8tpyVyr8220rDNpPLsdCdSRdYJ4neBAAA/M41np1ZKI3ikttL4PGVSD9YSnM5FItX0rYiEa1REkoU4NVNaWoqysrr/rv39aaytcaqHxh2RKO+//z7ef/991jI4BElMTLT9/6BBg2A0Vgaq8vPzWUkSNSYiTRQkVhpBFSp0UYo/e/qoPoO1BE4TUmCm0caglZRG30cqFuJyCY2FIXcpjeBRnlX8trZ5RFrGuBDpmVxmEf93FgC8ZTSenVoJjWdnoYxGwDOLSCKNN5E2QCUE5rZGImtf/7DQeKZkS2l8npyaSU5OxmeffVbnuIbYhHPEB423Jg6HIzgajQZ6vR46nQ4PP/ww9PrKl6PmWJVdLnV0KGhJyNGye3jXFyo2qKVEFvrkBKoCFUQCRyEKGnavOabm1wLDGejNNO5BVJ4pxWYalSpyIs4BgXJ31hKcTgeZN2sJgnCVgNUrALSXt2ynq/pSaqVRaZ5tpZFgEkrEcvpeiP+ZAgDiD+tWcsZ0i7UEpxMip+ECcVBCo9VRhYUHsKkzbNgwdOvWjbUMTjNHNAFsGsY3HE7LQa/XIykpCRMmTLD9v0ajQWxsLAoKCqBWVy5mFBQUIDs7G3l5ecy0vmSZzezcTcFvEl/WEgSBSm85KkGVs0bxv2BLJDS+s1R6YFuJzDaNFhqL8FTutVSu00fmyloCp4lQW2kkf/lLabQxKCbQMgYAOhIJBJ4AjcQLNyJJUaeJfJ7+oFHN6kWgPU4ekcRMNyKuAS5E3lM4NRMeHo7w8HDWMjjNHNEEsDkcTvMkICDA9v9VgewqNBoN1Go1jEYjdu7caduWlZWFM2fOCKZR4z1OsHM5gyHee1hLEAQqwUAiMTKoCQQbDCYagUAqGCw06jcqiFRgd/KIYC1BEPJMpawlCAKV+g0JgWS+s6DxnaXS37KCyF9nKmhUJlMhBzTmQm5EWhkUE7DWBoB7CPTANhPp237eRCNBPJ+IewmHw2kcNGYrHA7HqahUKlRUVNS4Lz09HRqNBlqtFsBte3GtVouUlBRoNBokJCTY7MUlEgkkEgmsVmEmp20LdwpyHmcRHclagTDIiGTCuxCxnW4lEX9W8Q0iiyVUaCUXf9IFAESrAuoeJAJuEang8CDSl9WPSO/2EgLVrEESGvdaDyLz2lvW6t8RxYZFQiOoQsWNRkYgWQgArpoKWUsQBH8ZDYcEI8S/jmAmcg/yJZDsDwC+Ehrzdw6H0zh4AJvD4TSaxMREDBgwoMZ9CQkJ0Ov1tmrsqkrshIQE25gqNBoN9uwRtqL48vILgp6vqXlCEsNagiBQsRCnUacCuBMI1FP5zlKBSgV2prGItQRBcCMS2BUqGZA1uRY9awmCoCLw7PxVf4O1BEF4VdqatQRBOEdkxYnP+cRFloVGkpuSSAU2FdvpMALJtjrQqNgttNBI/pJJaSTzcTicxiGa2YqFvy9wOC2GqkpslUqF7t27M1YDvPdCy642kyziN0AxUW4Rf3UVFaS8p5Oo8CDQVw6g066BSrBBSSDgCQBGK430LwoW4qFKb9YSBOGwlMZ8LwA0np2l3AZVVIRK3VhLEAQqPep1RFyxLlvE39M8SCr+ID0AZFTQsBD3daXxeXI4nMYhmgA2h8Np/qhUKiQkJODy5cvNInAtFqhYuYHAoi0AuEoVrCUIwjljPmsJTofO3yYNvIhYuVFJu0g3iP8eBAD5VvEvZgJ0rO8pVGBTQUlkXptBxB3BXUJj/k4hiQYA/EHj88y00ujdbibicUahB3YGEXeEJ93asJYgCJlE2oxwOJzGwQPYHA7H6VT1wU5JSQEATJgwwdb7Wq/X23pfsyIZaqbnbyztWAsQCAuRYKCZSBWZF4FqVr2JRlUDFcosBtYSBMFDKv7+9AAdC3EVkaAKlYQhPYEqz0gpjV6lpURsUKm4QLQHjSS3kyhhLYHThCiIuEW5EEnPLCZQaR5CxB1BRiRZSEbE+asxfPrpp/jss89qHfPrr78iMDAQR44cwTPPPFPtGG9vbxw5csRuW/v27Ws97qhRo/DOO+/UuH/RokVITk6GTCbDuXPnqh2Tm5uLFStWYP/+/cjJyYG7uzvatm2L6dOnIzY2ttbz/51Tp05h1apVOH/+PPLy8mCxWBAcHIzevXtjypQpCAwMtI21Wq3Yvn07Dhw4gDNnziAnJwceHh5o3bo1nnnmGfTr16/eznPnzp3Df//7Xxw+fBg3b96EwWBAWFgY4uLiMGXKFHh6elb7e2fPnsWKFStw7NgxFBUVQa1Wo0OHDpg/fz7CwsIadO3U4QFsDofjdKr6YFcRERHBK7CbkHBZ9Q9LsXHTTGPBREZkIaHITKMihyMeyokEsIvNNKpxTAQCgQAAGrEjWMw0AtjBcvFXV6mIBBoqiFQEXjHcYi1BEGRKGovwVCqwXa00rpNKkMxHQiM5k8LnmW2lsYYgkYg/2R8A2llpXGdj6N+/PyIiIhy2Z2Zm4uOPP0aHDh3sArcAMGbMGHTr1s1um4uLY/L24sWLqz3n2rVrcfbsWTz22GM16jp16hTWrl0LNzc3VFRUX0l/8eJFxMfHQyaTYcSIEQgPD4dOp8OlS5eQnZ1d47Fr4vr16ygtLcWgQYPg7+8PqVSKCxcu4Pvvv8eOHTvwww8/2P4tDAYDZs+ejfbt2+Pxxx9HeHg4CgoKsGnTJsyYMQPjxo3DggUL6nXelStX4rfffkNcXBxGjBgBiUSCw4cPY/ny5di2bRs2bNgAX19fu9/ZsWMHXnvtNcTExGDSpEnw8fFBfn4+Tp8+jaKiIh7AbiA8gM3hcAQhNTXVLogdGxvLvPJaLFw1FbKWIAhUMsRLiQTJuigD6x7UwjlWkcVaAqcJiVH6s5YgCO5EquUotDEAgGiFN2sJglBCpI+nkkBGwm79ddYSBCFI4cVagiBQcVCigpnI51kkoZFgEg0ajhfXrTRspymgIJLkdp1AP3MACJW0bDdMIYiJiUFMTIzD9o8//hgAMHr0aId9Xbp0wdChQ+s8dnVjdDodFixYgMDAQDz66KPV/p7RaMS8efPQt29fFBcX49ixYw5jDAYDZs2aBV9fX3zzzTfw8mr8vHfIkCEYMmSIw/YHHngACQkJ2LBhA2bMmAEAkMlkWLt2LR566CG7sU8//TSGDx+OdevWYcKECWjbtm2d53366aeRmJgIlep2wsX48ePx0UcfYcWKFfjyyy/x2muv2fZdu3YNc+fOxeDBg/H+++9DKqVx33Imoglg05hecjgtF19fXyQlJQGAzTo8NjYWBQUFyM7ORl5eHjNtU1DA7NxNwf8kfqwlCEJ97V1aOnIiwaOTBi1rCU6HymdpgPjt6ijxB5HEC7WMhgVhjoVGRb3VSiOoIpGKfy4Up4pkLUEQzpoLWUsQBCmBikCAznVSqPAEAB0Ri/8bRPoJq4i8k8kJ/H3mmWl8Z31kNNpSHLDQcGmZ18THM5vN+OGHH+Dm5obBgwdXO6a8vBwSicQu6Foftm/fjrKyMlvldHWsWLECmZmZWLVqFf79739XO2bnzp24evUqli1bBi8vLxgMBpjNZri6Nv13u6qauaTktmunXC53CF4DgJubG/r06YM1a9bg4sWL9Qpg/72avYonnngCK1aswIULF+y2f/nllzCbzXj99dchlUpRXl4OmUwGpZKGG4gzEE0Am8PhNA+qgtNarX1wKiIiwlaBfe3aNWi1WlitVphMJuaLjvsnH2J6/sbiKhnOWgKH02ACCNig5pho2N5LiSSXXDG17GSn+lJhoVHJapHRCHhSadfgKaXR05wCBysyWEsQhHAi7gg0vC44YsODgNsFAARJaQTJvIgsff9lEn8wMIBIAuq5CvEn+wNAuJJGBXZcXFyt+/fu3dug4/3666/IycnBU089BQ8Px3W1d999FxqNBgAQFBSEIUOG4MUXX6xX8HjDhg2QSqUYOXJktfsvXbqEL774AhqNxsG6/E4OHDgAAFCr1YiPj8eRI0dgsVgQHh6OZ599FuPGjavPpVZLeXk5ysvLUVFRgcuXL+PDDz8EAPTp06dev5+TkwMADrbfDaXqOH5+9kVlv/zyC6KionDy5El88MEHuHLlCqRSKTp16oRXXnkFDz74YKPOSxEaT3EOhyMYer0eSUlJdnbhQGUf7CqqHqStW7duFhXYfVf3YnbupuDXSBqTPiq9oc1WGp4iVIIqFLAQqXxknWwlFD4EkksAQGepvlcXp2Wis9BIpHGXKlhLcDpU5kHcWpvTErES+d6aiFznPVYa1WA5EhpuUWqZ+PsJZ5tLWUsQhAilD2sJghAmpZGQcBFNu/a1fv16AJW9ru9ELpejT58+6N27N4KDg5Gfn4+ff/4Z//nPf/D777/jm2++qTWIfe7cOZw9exaxsbEIDQ112G+xWDBv3jx07NixzgD0lStXAAAzZsxAhw4dsGTJEpSVleHLL7/EggULUFRUhOeff76hlw4AWLVqFT777DPbz2FhYVi0aBF69uxZ5++ePXsWe/bsQWRkZI2V1fXBZDJh2bJlAIDhw28XlZWUlCA3NxdGoxEzZszAmDFjkJCQgOvXr+OLL77AlClTsHr1avTo0eOuz00RHsDmcDhNgr9//XqDVlVot27dmvfAbiKoBHbJWPMR+TxlBKp2OysCWEsQhMPlN1lLEAQFEftBVwIBMgDwltCoOsonYrXYVUGjnQqF0O5VAvMDAGgloRE4us+FxlzISCTJrTNasZYgCL+baXgHKInMbd2ILH13hydrCU7nTxpfWeSYaATqTVYa7RoaWmFdG1qtFgcOHEC7du3QuXNnu33dunXDihUr7LaNHDkSS5YswcqVK/H1119j2rRpNR67KjBeXV9tAPjqq69w7tw5bN68uc6+zqWlld/hyMhIrFy50tYSsl+/fujfvz+WL1+O8ePHw9Oz4fetYcOGoVu3btDpdDh79iz27duHwsLCOn9Pq9VixowZkEql+OCDD6BQ3P26x9tvv42TJ0/imWeesbMqr7ruwsJCTJ8+Ha+88optX8eOHREfH4+PPvoI33333V2fmyKieYrTeF3gcJovAQG1L05oNBocOXLEVsF2Z28KDodzG5VENI/mWnlIXr+kl5ZMEe8NLSp0RFwDis00eiYHKsS/yAfQsYTPsdKoqPeWiD/BpI2ycXZ+LQUKnyUAZBDpsetO5PM8BR1rCYLQTUbD4ayMRFoUcAs05kJ6Aok0QUQSUDvKaSQL3ZTQmL83JT/88APMZnONQebqePHFF/Hll19i//79NQawy8vLsWPHDvj5+aFv374O+2/cuIGPP/4Yzz77bL36Rlf13h4xYoQteA1UWorHxcVhy5YtOHHiBHr37l3v66giPDwc4eHhAIABAwYgLi4OY8eOhcFgqPH6cnNzER8fj9zcXHz88ccOwf/8/HyYzfYJFTUV6iUmJmL9+vUYPHgwXn/9dbt9Li6321qNGDHCbl/Pnj0REhKCkydPory83Cn9wMUKjVVyDofDHL1ej+DgYEREROCvv/6CQqFAeXk5zGYzDAYDU23TGZ+/sRwgYrVIoWIXoGPHXArxZ9uWWGkEsKn0rjIQyRA3ErlOKjbFvkQs4WVEXFpcIH6XlhAii9Pi/yQr8ZTSqDQ3EnmmBErEb1EMADlEAp4RRCzEiUwRUC4R/30o20oj0VYpoWGtLf5vbNNitVqxceNGqFQqDB06tN6/5+bmBl9fX+Tn1+wusnPnTpSUlGDcuHHVVia/9957cHd3x6BBg5CWlmbbrtdXJvmnpaVBJpMhLCwMQGXv7YsXL1YbBK7aVlRUVO9rqI1OnTohKioK3333XbUB7JycHEyaNAkZGRn45JNP8NhjjzmMGTlyJDIyMuy2XbhwwWHcO++8g6+//hpDhgzB+++/D5nM3hbC29sbbm5uKCsrq/HaMzMzUVxczAPYDYAHsDkcjmBEREQgPT0dO3fuBHC7KtvDw6PWB6mz8f2ykNm5mwIJAllLEAQJkTdPKoH6naVXWEtwOr3c72EtQRBuGApYSxCE1i40LIpLLDQqzX1kNF4YS600FuGptBk5ashhLcHphCu8WEsQhHAigfpiS8tOFK4vbaQ0koXSrDQq6qn8fWZKaMwRXImkDJUQSBCnsiYkJ3KdZu6n2yD+97//4caNGxg6dGiDrLd1Oh3y8vIQGRlZ45j169dDIpFg1KhR1e7PzMxEXl4ennzyyWr3DxgwAH5+fvjtt98AAJ07d8avv/6KrKwsh7FV2/z8mm59Ra/XVxsQz87OxqRJk5CVlYVly5bVWPH9wQcfoKKiZkcAq9WKhQsX4ttvv8WIESPw7rvvVmujLpFIcN999+HIkSPIzs5GmzZt7PZnZWVBLpfD29u7YRdIHB7A5nA4TiE1NRUJCQm2n7VaLVJSUqDRaNC9e3fbdqVSCQ8Pti/8BUsvMz1/Y5FKBrOWIAhUFqctRCbxHVyDWUvgcBpElrFpMoSbOwopjdcDF9BoonfRkMtagiBUEKk0VxH5+6TA/QYan+U1GpeJbCJtDKhAIRAI0HGCuGah0U+4g1T8ttNSIsn+eiK1yWYi7oNNxYYNGwDU3KO6oKAAarW9O57VasXixYthtVrRr1+/an/vypUrOH78OB566CFERERUO2bOnDkoLi522P7pp5/i6tWrSEpKsrPPHjJkCJYvX44NGzZg1KhRtqrunJwc7N27F97e3ujSpUud13wnubm51VY17927Fzdu3ECvXr3stmdlZeGZZ55Bbm4uvvjiCzz88MM1Hrtbt2417rNarXjrrbfw/fffY8yYMXj77bftbNH/zvDhw3HkyBGkpKTgzTfftG3/+eefodVqERsba/dvxakb0bxOUFnw53BaChaLBUlJSbafBw4ciIEDB8JisZ+IGQwGptXXAPDA+UFMz99Y2tScRCcuCFhiAYCPjIZd1A1jIWsJTsdDQaNil4qFuJ6IJTyVZKEMcwlrCYLgSaTSvJiIc4AXgc/zYgWNpIulUhruJWYjjfl7jLL6Poliw0pk3c2NSJIblepHDyI96pVW8c/hL1kcA2hiJFTmzlqCIHQCjbWvpiA/Px979uxBVFSUXVHYnTz33HPw8/NDx44dERQUhPz8fOzduxcnT57EAw88gAkTJlT7e1WB8TFjxtR4/pqCvykpKbh27RoGDhxotz0iIgIvvfQSli5divHjx2Pw4MEoLy/Ht99+C71ej7fffrvBFtrTpk2Dp6cnunbtipCQEJSVleHkyZPYtWsXvL29MWfOHNtYnU6HiRMn4saNGxg1ahRyc3OxdetWu+Pdf//9tl7atbF48WJ8//33aN26Ne6//35s27bNbr+fnx8eeeQR289Dhw7F9u3bkZKSglu3buHBBx/EjRs38M0336BVq1YOfbM5dSOaADaHw2neBAUF4cqVKzCbzVAoFDAam49d1RS07AWkX0EjeETFLirfTMOaT0VgIeFxI40XsvfNmawlCEJP17pfbsQAFcu6U8Y81hIEIVJOw46ZSuKFu0T8QZVbRh1rCYIQpfBhLUEQSqw0LMQ54kJtFf+9FgAugsZ7ZxQRS/gM8PutWCgh0gLomoSKD0Tj2bp1K4xGY43V1wDw+OOPY//+/Vi3bh2Ki4uhUCjQpk0baDQaTJgwodre1gaDAVu2bIFara6xQvtuefHFFxEaGoqvvvoKH330EaRSKTp27IjExES7gG99GTVqFPbs2YONGzeisLAQMpkMoaGhePrpp/Hss88iMPB2e83CwkLcuHEDQGWAvipIfyeJiYn1CmCfOXMGAHDt2jW7IHkVPXr0sLseqVSK5cuXY+XKldi2bRv27t0Ld3d39OvXDy+//DJat27d4GunDg9gczgcQVizZg0mTJiAgIAAJCUlIT4+3vYQYE1yCw8AR7MWwGlSyiw0XlZcJOKfguxT0qgIRDlrAcKQR6TC8xaRJBpPKQ3brqvGlp2kV1+iFC17LsehBxVXj2wjjWo5byIV2Bxx4SNRspYgCNetNObw90hUrCU4neusBQhEkYVGWwofGY17UFMwefJkTJ48udYx06ZNw7Rp0xp0XKVSicOHD9+1rq+//rrW/UOHDsXQoUPv+vh3Mn78eIwfP75eY8PCwnDhwoUmOW9d11gdLi4umDFjBmbMmNEkGqgj/tVjDocjGBqNBlqttsb9ERERSE9PB1AZ0K7u9/fs2eMseTXS0iuwD0loVHBQgUoVWSuZ+INHXnyaJSq0Zhr98xREMuEzifQ0V8tpOEGUEqlUMRDpy0oBdwJONACdeS2V66RCmoRGwNNIpP+sJ4HEaQC4AfEHPb2JJKAGEUhGAIBsIsklHA6ncdB4inM4HEHQ6/UICAgAAPj7O2ahJyYmIiEhwfazRqOBXq/HwYMHBdPIabnwhSFxES4Vf1+nQtAIqFDpga0kYN0LADS6lQLRKm/WEgShhEiVp5HIN9dXIv6FW5kLjUpWKkkXHE5LpKOFhuX0CQkN150AK42EoTSJ+JPcVETex8qIJCzK+BofeUpKSqDX157IIJPJ4OPDC7coI5oANo0lCw6n5VAVyK4JjUaDrKwsAEBsbCwKCgqYWYq3eAtxIpnTEgmN61RJRfNorhUDf3KLhhuGlu1iUV985OJPugAABZGFoTMmGn12JRIaC0OtiFTk+BJwLzETmR9kmmhYa1tAY/7OERfuRL62aimNwK6WSFJxhVX8z08qTlExFvHP9wDgrJTIzZZTI++++y42b95c65jQ0FDs27dPIEWc5giNVXIOh9NsUKlUSEhIwIkTJ9ClSxdefd0E8CkfpyViIpB4IScSOKJSgW0mcreVE1kYKrUYWEsQBCuBey0lKPx1SohU43gQSbooMpezlsDhNJhbRIIqHUw0Atgn5DTmfH4EepoXEHEvSZfScFC6x0pjLsSpmeeeew5DhgypdYyLC/+eUIcHsDkcjqAkJiYCAOLj49kKuYMjhhzWEhrFeASylsBpQvQWGi8rbnLxV3lSqTKnUoF9j4svawmCQMXKTS2jYQ9qsNKwIKRS5UkhkeZiRS5rCYJApT+9mUBFIEd8nAeNxIv7pTTuQzoi7VRiIP65bT6Ravq/jDTmQvcquC00daKjoxEdHc1aBqeZwwPYHA7HqVT1uU5NTUVeXh5rOdXyoLJlB4DbEanypIIrESu3y6Yi1hKcTj9Z7a0UxMIfrAUIhJ7I4le5hcbCkLtU/FUqAOAlU7GWIAjXDfmsJQiCiUBCQjsiPbDP6bNZSxAEVyL3Wo648CdQyQoA64w3WEsQBCpzPgoJ4qGgUYnpq6AxFyoBjfdrDofTOEQTwBZ/LjqH07KosgovKCiAWq2Gr68vdu7cCeB2/2tWPa/FhpmIPSgVO2YqtrZxylDWEpwOleoNKhbixZYK1hIEwUggQAYAhURsbUuIfG/lRHq3KyWieX2vESuRN/sermGsJQjCyYqW7XTFoYmeiIuSr4xGBTYV/CD+RPh0q561BEEIkdAI1CsIfGc5HE7jEf8bMIfDYUKVVXgVGo0G8fHxUKsrAx3NKXhdLp3LWkKjsOBd1hIEgcqCZgelH2sJgkDB7lVJolspHQtxKsEGFyLf2zwrjcCugsjnWU7EIeGWuYy1BKfjQaRS7oqxkLUEThNCYV4LgEhYF7hlpZFQ7CcVv+U0ALQlYK0NABet4k/OvEdCw1moEDQSis+bC1lL4HA4LQAewOZwOIKQmJgIjUaDPXv22LbJZDKYzewnZi9ZZrOW0Ch+k9Doyyol0pfVm0gWajGBlzIqSRdUOGdonm0wmhoFkUpWE5FleD+ZO2sJglBupWF9355Ar8BiIp8llcpHKjMhKu8p4RIa39t8IgFsKnOhUyhhLUEQ7pHQmPNRwAs03seoJNpyOJzGwQPYHA6nSVCpVEhPT0dAgH3P1yq7cLVajdTUVPj4VC686XQ6GAzN48VwejPRcbccIrM0RGNhKNBK49H8oymLtQSnQyWgQgUzkUU+Ko+UEiIW4kEyD9YSBMFVQiP564j+JmsJTqebKoS1BEGgsmjrLvdiLYHThGRYxe8CAQAhEhoVu2UEEooBoMJKYw5Pwfo+l0jPZDciAWwq7fM4HE7jEM0qufgf0xxO8yYxMREJCQlITU1FQkKCbXtBQUGzsguvjgeVgawlNIpoIj2wJRIa16mT0HiiZVSI33b6UY8o1hIE4Wi5+AMqAJ1K1lyTjrUEQfCR0wjsUiHHRKO6Kkgh/mCgjogdvMFKI3BUbKHRriFU1oq1BEGgEtj1J5JQnE7kvVMqoZEIT6Fq10wk09adwGcJAK0V3qwlcDicFgCNWRmHwxEMX19fJCUlQaPRQK/XQ61WIzY2FgcPHmQtTbRQmcRLiVzndauetQRBCHFRs5bgdE5V5LCWwGlCqCzC+8hpBOqzjUWsJQhCPpGEhNYufqwlCIKKgMV/OJEAWTZoPFOkUhqBIypkEXlPySXi/GUikghPxeKfwmV6Ewlj5IBGZXIrIp9nY/j000/x2Wef1Trm119/RWBgICZOnIijR4/WOC4yMhK7d++227Znzx6sXr0aqampsFqtaNu2LSZNmoTBgwc7/H5ZWRm++OIL7Ny5E5mZmfDw8MBDDz2Ef/3rX7jnnnvsxp46dQqrVq3C+fPnkZeXB4vFguDgYPTu3RtTpkxBYGDDC8kae8xffvkF06dPBwCkpKSge/fu9Trv0aNHsWvXLvzxxx/IzMwEAERERODJJ5/EuHHjoFKpHH7nzz//xKpVq3Du3DkUFhbCz88P3bp1w9SpU9GuXbsGXjmH3yk4HE6TEhERgYSEBGi1WqSkpNgsxGNjYwGgWQayy6VzWUtoFApJImsJgiAjYrWoktC4zn8Q6ON5rCKbtQROE2IkUi2XYRC/OwIAhCrFn0QDAIVErNKpWBBmm8UfPJIoCazAg05A5YaxkLUEQYhR+rOWwGlCKCQLAXQcL8qIXGcqxJ+02JZIn28DEdv7DEspawnNnv79+yMiIsJhe2ZmJj7++GN06NDBFrh9/vnnMXLkSIexBw8exPbt2/HYY4/ZbV+1ahU++OADhIeH44UXXoCrqyt2796NV199FdnZ2XjuuedsY/V6PSZOnIgzZ86gX79+mDRpEgoKCvDtt99izJgxWLduHaKibjsQXr9+HaWlpRg0aBD8/f0hlUpx4cIFfP/999ixYwd++OGHBgexG3NMnU6Ht956C25ubigra1g7lCVLliAzMxP9+/fH+PHjYTQasXfvXrz//vvYvn071q1bBxcXF9v4PXv2YObMmYiMjMSECRPg4+ODq1evYv369di9ezfWr1+P9u3bN0gDdXgAm8PhNCmJiZXBVI1GYwtkR0REYM+ePYyViRcjkcktkXU+KIkE6qk4B3DEg7eMRlVgsJyGDepFvZa1BEHwUdCwSo+We7OWIAgFMvFX7eaaaSxm3isXfyIfAOgJ2N4DgIXIvJZK4oWeSNKiv8Sl7kEioJhI32RPifiX+D2tNNZKjBIlawmCoJDReKY0hpiYGMTExDhs//jjjwEAo0ePtm175JFHqj3G999/DwAYNWqUbdutW7ewdOlS+Pn54YcffoCnpycA4Omnn8bUqVPx8ccfY+DAgQgLC7Md48yZMxgzZgwWLlxoO87QoUMxePBgvPPOO0hOTrZtHzJkCIYMGeKg5YEHHkBCQgI2bNiAGTNm1PefodHHXLx4MSQSCcaOHWunsz68+uqr6NatG+Ty2/fYiRMn4tVXX8WOHTuwceNGTJgwwbYvOTkZCoUC3333HdTq20nzXbt2xcyZM7FlyxbMmTOnQRqoI/6nG4fDYcKdgeysrCz4+fkhLy+PsarqOaWfxVpCo5iAlt3Du75IiCyYeBF5NJ+xFLOWwOFwqqEVkQUTKiiIuHpcNhWyliAIFPrsdpbTsIMvIRJQUREIqADAvXBjLUEQTqKEtQRBUBB5H7thaVgVWkslUOpo7ypGKCSYXJSI34kGAG5ZaFwnmWKcJsZsNuOHH36Am5tbtVbfd3LlyhUcO3YM3bt3R5s2bWzbjx8/DoPBgLi4OFvwGgAkEgmGDRuGgwcPYtu2bXjxxRcBAIcPHwYAjBgxwu744eHh6N69O3777TdkZWUhODi4Vj1VAfGSkqabT9R1zKNHj2L9+vX4/PPPcfbs2QYf/8EHH6x2+xNPPIEdO3bgwoULdtt1Oh1UKhW8vOyTOKuqw11daRRGNCWimZVZxP+c5nBaJImJidBoNACAe++9FwUFBbYMpOZoJ94SiZTTqGy4aaaxYHKPiUawIV8u/kmbjwuNqoZj5RmsJQgCFStmKlVkrQjcgwCggkgVWYXFyFqCIFgJ/H12lAWxliAIJ83NM7G3qdGZxe8aAAAyItb3VKDS0klGpAL7loXGfegeqfjttSNBIxmhREJjXkulBVBcXFyt+/fu3dug4/3666/IycnBU089BQ+P2t22Nm7cCMC++hoADIbKf/vqgqlVPZ1PnjzpML66fs8qlQpWqxUnT550CGCXl5ejvLwcFRUVuHz5Mj788EMAQJ8+fWrVXRsNOaZer8f8+fMxYMAAPPbYY3cVwK6JnJwcAICfn33yba9evZCcnIw5c+ZgypQpNgvxxYsXIzg4GGPHjm0yDVQQTQCbw+GwJzU1FQkJCbWOyc7OxpkzZwRSVD98vyxkLaFRXCVSdUSliizFmsVagiBYCbyTlRN5IaOCu5RGZXIwgcUvAFATqcaJktCoCjxtKWItQRC8CQQbMoks2sbJaDgo/U9awFqCIFCofASAIAmN5K9AK42l0hwJDScIvYRGMl+2VfxVuyeItBnxlIp/vgcA9xFpp3IWTZu0uH79egDAmDFjah1nMBiwefNmeHl54Z///KfdvujoaACV1clWqxUSye15zJEjRwBU9tmuom3btjh06BAOHz5sZ2leXl5uC3RnZTmuZa5atQqfffaZ7eewsDAsWrQIPXv2rNe1VkdDjrl06VIUFBTgjTfeuOvzVYdOp8OqVaugUCjw5JNP2u2bNWsWSkpKsGXLFmzbts22vXv37li5cqVDwJtTNzRmZRwORxCCgm5XTNxZaQ2g2QWtxQSVajmLlcZ10rhKGsFdKn+b4Up13YNEQI6JhguEQiJjLUEQso00Ap6XQSP5K1TpzVqCIOgh/kX4S2YaLUa6WnxZSxCEjmR6YNPgqpVG8MgP4m/XAABuROYI9xBJvKCATkoj6aKIiIX4I0Yac4RPGlhhXRtarRYHDhxAu3bt0Llz51rH/vzzzygoKMDEiRPh8jd3wPbt26NXr144dOgQXn/9dUyePBmurq7YvXu3rWpbr7/9PRw/fjy+//57fPLJJ3Bzc0PPnj1RUFCATz/9FIWFhQAqg9l/Z9iwYejWrRt0Oh3Onj2Lffv22cbfLfU95unTp7F27Vq89dZb8Pf3b9Q578RkMiEhIQEZGRnQaDRo3bq13X65XI7g4GB07twZTzzxBAIDA3H+/HkkJydj+vTpSE5OdrAX59QOD2BzOJwmY82aNbb/r+p9XRXE9vPzQ0VFRZP2uWgqol9oz1pCo4h+n7UCYZARqcCmYqPU3yWctQSn87PhJmsJgnDDQKO6yl9BYzHTSMRyOohIUEVCpCowVEqj0jzTIv5WBplEkktuutCoOiojEtrNt9KYv8daPeseJALSiQTJrlp0rCUIQgiROQKF+1CQlEYygguRta/LNPKmm5QffvgBZrMZo0ePrnNsTfbhVSQlJeGtt97C1q1bsWXLFgCVa/fvvvsuEhIS7OzJIyIisHLlSsybN8+umvmhhx7CtGnTsGzZsmrtzMPDwxEeXrn2N2DAAMTFxWHs2LEwGAyYNm1ava+7occ0Go2YO3cuunbtWq9/q9zcXLufZTIZfHwc5+omkwmvvvoqfv31Vzz33HOIj493GDN79mwcPHgQP/30ky1w3q9fP3Tq1AlTp07FihUr8NprrzX0skkjmgA2lSonDqe5otFooNfrbZXXqampKC4utvXJaM4cMeSwltAoxiKAtQRBkBK5z3dX0rCUpBDcHaYQf5AeAA7J8llLEIR7ZDQC2AoiAc98Cn0MACgkND7PDEsZawmCoCZgIZ7OWoBAXID4kxEAoJRIf3pXiWiW1mrloISGQ8I/UHtPUbFAJRhYSCCwCwChEvG3x6HSriHLSmNee15CYy7UVFitVmzcuBEqlQpDhw6tdeyNGzfw+++/o0uXLmjfvvqiLU9PTyQlJeGNN97A1atX4eLigpiYGKSlpQEAoqKi7MZ3794dO3fuxNWrV5Gfn4+goCCEh4dj8eLFAIA2bdrUeQ2dOnVCVFQUvvvuu7sOYNfnmCkpKbh06RI+//xzpKfffrsoKqpMlNVqtUhLS0NISAgUCgV69epld8zQ0FDs27fPbpvRaMSrr76KXbt2Yfr06XjllVcctGRmZuLHH39E3759Haq+e/fuDXd3d5tFO6f+0Jhlczgcp1EVuL527Rpat26N7OxsZGZmwmg0tojgNQA82MIDhpFEKhuoWIhTIUgu/gqOVCKL01QqsO91pVGxS2VhSA8a1VWeEP9iJgCYrTTmQmqpgrUEpxNCxB0h3USj0txDJv6kCwBoI6ER8KRiIX7OSqMy2ZdAUhQAhBKxEC8iMLelUZcMxEjFv1YCAKEWXoLdEP73v//hxo0bGDp0KDw9a/+ObNy4EVartcbq6zvx8fGxqzY+cOAAAODRRx91GCuRSNCmTRu7YPXBgwfRqlUr3H///fW6Dr1ebwskNxV/P2ZGRgasViteeOGFascnJCQAAH788Ue0adMGq1evttv/d8t1g8GAf/3rX9i7dy9mzJiBmTNnVnvcnJzKAjmz2dHVzmq1wmKxVLuPUzs8gM3hcO6KqsC1VqtFREQE9Ho9Tpw4AYVCAZ1OB6vVCoVCAaOx+Wfdt/QK7Alo2QH4+kLFQlxOJHjkL6URVKHAaFXdmbZioJhIshCNOy3gSuQ1KNdawVqCIDwspWHHfBMtIzm0MXhIlawlCEK6gYZ7SRmR1jj/cKGReEFljmAmkjhtkNCY21IJkRUQmPP5E6gyB4BCNP911KZgn/EGawmCkNBEx9mwYQMA1GmJbTabsXnzZnh4eOCJJ55o0Dlu3LiBlStXIioqCgMHDqxz/FdffYWLFy9i5syZcHW9nSyUm5tbbd/pvXv34saNGw4Vz/WhIcd86qmn0K1bN4exP/30E3bu3IlZs2YhKioKgYGV6+kPP/xwjec1GAx4+eWXsX//fiQkJOD555+vcWzr1q0hl8vx559/4saNGzar86pzl5eXo1OnTvW6Xs5taKzccDicJkev1yMpKQkajQbp6enYuXMnNBoN/vrrL7i4uKCioqLFVGB3Ui1lLaFR3C9ZxFqCIEiI2KC2IvKKXUEgGHiPlUZVQ4r+MmsJgvCAayhrCYKQbaZhWWcm0pZCRiQpKl3WMuacjcVE4Nl5xXCLtQRBGOZKI/nrnKWEtQRByCYQOAIACZFnSlupO2sJgvCHKY+1BEFoJaeR5BYuEX+vbyrz9xIizkIlJhqOdU1Bfn4+9uzZg6ioKHTv3r3WsQcOHEBOTg7Gjh0LN7ea7wurVq3CiRMn0KVLF3h5eeHq1avYsGEDlEolli5dCqXSPql0woQJuPfeexEVFQWr1YpDhw5h3759iIuLcwjqTps2DZ6enujatStCQkJQVlaGkydPYteuXfD29sacOXMa/G/QkGPGxMQgJibG4RiXLl0CAPTo0aPOf8cq/v3vf2P//v24//77ERwcjK1bt9rtj4iIQNeuXQEA3t7emDRpEr788kuMHj0aY8eORVBQEFJTU7Fx40Z4e3tj6tSpDb526vAANofDaRSJiYnQaDRISEhAQUEBgoKCoFarbb2wq/578OBB1lJr5JR+FmsJjWKClUgFNpGc/wIC1l8AUGYVv23OJYmetQRBCFeqWUsQhDOGXNYSBMFKpOpIIaXxGmS00HimuBOw1gaAHhC/paRO6ctagiAcMdMI1LeS0KiotxAJqliJXCeN0BHQgUhg15tIgrj4366BEhJXCUSDhu39RQWN9htNwdatW2E0GuusvgaA9evXA6i7Urt9+/bYv38/Vq5cidLSUgQEBGDo0KF4/vnnq6107tKlC/bt24eNGzdCIpEgOjoaCxcuxKhRoyCV2q/Xjho1Cnv27MHGjRtRWFgImUyG0NBQPP3003j22Wdtlc8NwRnHrA9nzpwBABw/fhzHjx932D98+HBbABsAZs+ejaioKGzcuBFr1qyBwWCAr68vBg8ejJdeesmuKptTP0SzckNjGs3hNB9SU1NtPSOqyM7ORl5ey8vi9QmYxFpCo1Cp97KWwGlCThpb3t/Q3TBSFsJagtPxpPF+jaWmDNYSBEFFxNaWyuI0FVyIBHapWEpuNor/futNpMVItoFGD+xCIvegGKXjQq8YoVKBfYxIZTKVOZ+PTPyVyQDgTSBhyEs8YYxa2WFIZy1BEPKNOtYSWgyTJ0/G5MmT6zX2iy++qNe42NhYxMbG1lvD7NmzMXv27HqNHT9+PMaPH1/vYwt1zJkzZ9bYv7om9u3b16DxEokEI0eOxMiRIxv0e5yaoXHn53A4TY7FYkFSUlK1+6r6Yzfnqus7CSu+n7WERnF/xB7WEgSBioV4RwWNyqPdBCqPRoDGZ2khUrHrIqExbZZJadxrqXxvPWQ0WhmUWGlUmndRiD9Ilm+lYQdfZqZhOd3axY+1BEE4WkYj2NDL/R7WEgShSEKjYteVyNzWQMD5CwAyLKWsJTida0Tme6EKL9YSBMFA5PPkcDiNg8ZshcPhNJqqoHQVFRU1L7pU9cf+++/v2dM8A635qn+yltAo+gX0YS1BELrJaFicHTPns5YgCOUWI2sJTueIgoaFOMT/UQIARsqCWUsQhIOSYtYSBIFKW4pQIpXJhwxZrCVwmghPGY3vrBuR5JIyC42EhB5uEawlCEKJlcakz0gk4JlrpNGjPoxIuyM3AgkJrYi4elDBm4g7AqdmSkpK7GIN1SGTyeDjQ2M9mFM94n+6cTicJuHvQekBAwbY7b8zwK3Vah0C3gUFBcIIJQiVnmt/msRfsUuJaAWNhQSOeDgiEX9VAwBoTTSuM0JOo7JBSsTuNVDeirUEQSixiD8xKp/IPShE6c1agiC4S3iwgdPyCJXReKZ4SGkk0lChh0T8c9sMCY0kmotmGm1GaKxkcmrj3XffxebNm2sdExoa2mAbb464EE0A28JaAIdDnDsD3AkJCdVWYQOVge6srCyo1ZXBq5ZiM96codK7CkQW4SOILMJfM4n/pSxK7s1aAqcJ8SPQVw4ArETuQe3hylqCIBQReUvyIFB1BACBBJ4rx0w0qump9BK+YSxkLUEQHnMJYy1BEK5Zy1hLEITTFdmsJQhChJJGRRuFymQAOAXx9xMuJNJ+g4q1tlxCwxGLUzPPPfcchgwZUusYFxeebEUdGk9xDocjKCqVCunplX3A7qzEPnnyJPR6PaxWK4xGGpmTnKaDSqV5qoFGpflNfR5rCU5nolsQawmCkEXElq+AiG1muIRGYPeAWfz3IADwJFJdlW6g4fRDoad5nIqGFfNvRhoBsnCFN2sJgpBppRFUoZI4PVTVmrUEQTAT+TxzQKOVQaaFRoIJBdrKabxfp5lptDHg1Ex0dDSio6NZy+A0c3gAm8Ph3BX+/v417ktMTERCQgIA+8rs+Ph4GI1GRERE2ILazaEC+2ZhO9YSGoWsHY2sRYmERqVKoNyDtQRBkLiK//M8LKexmHmjnEbgCDQKsJFpFX/1BgDIJTLWEgQhx0Tj8/SRu7OWIAiRBGxty0Cj9ywVe/+rRBIz73OhkbRIxTnggpVGKwN3IpXJHqAx51MR+DxLiSQU64hcZ4GZJ11wOJy6Ef/TjcPhOIWAgADb/2s0Gmi1Wocxf9++Zs0aBwvxjh07Ijs7G3l57CqhwrwvMjt3UxAY3Ja1BEHIMtNYhC+yir+/JQDIIf7Eix4m8VfKAcD/WAsQiGAZjQCZ0UrDctqHiCV8mYxGMJBKBYf4n5xAKyKBBiq9Z8stNCofqUClAltG4m4L3LLQeO/UEvneuhIIYFPBROQ7y+FwOPVBNE83KtayHE5zRK/X2wW0gds24hEREejevbttu49PZZ+lixcvwmDgCxpNAZXALpVKFSq9vi+XZ7KW4HSOeNKw/gKNBHGUEulFVmKl8Wx2I1KBTcUe1IXIou0Fk/gdL3rIa3Z5EhNUAoGRCiJzISJQqcDWcycIUREupZGESiEBrJBAKxUAKCTyPlZupnGdHA6ncdB40+dwOIKTmJiI+Ph46PV6xMbGIjU1FcXFxSgpKWl2/a8zI4pZS2gUVv1g1hIEgsYLdimRSpUo10DWEpwOjTpWOnhLFKwlCEKghMbCkI7I4rSBSEX9P6Tit9YGgEKp+HvUp1poVNMHSN1YSxAEKs/OQiJ2r1QSL6jgTuTvU0lkHcFI4O8zz0qjRVemicZcqK0LjaRFDofTOHgAm8PhNIoqm/C/V2ADQHBwsK3Xta+vL3bu3Gn7nT179giqszZC0j1ZS2gUFv9Y1hIEQSIR/wsZALhKaSwkRMu9WUtwOiYewhYV7gSqGgCglEhgl4Y5KOBDZHFaTmRxWkXgPqQi4o5AxUEuw0KjvyWVQCAVvIh8nt6gcZ1U8LCKf3YbKFGxliAI3eQ0EjN/teazlsDhcFoAPIDN4XAaRZV9uEqlQkJCAgDg4MGDtv1KpdJmFX6nlXhz4o2yjqwlNIp/tglmLUEQfjY79lnntFxcCISPHiLSA/sP1gIEgkqALBA0ekOftrRs95X64kakynOfMYu1BEFQEbBKLzTRCHh6ycVfTQ8ABUQ+z/tcglhLEAQqFuJXjIWsJQiCn5yGtbaCwHsnAGgpXCeN3C9ct9JoE8ipHzqdDitXrsTu3buRkZEBlUqFyMhIPP300xg6dCgAYN++fdi7dy9OnDiBzMxMuLi4IDIyEqNGjcKwYcMglzu+Q2RkZOCjjz7Cb7/9hrKyMrRu3RpPP/00Ro0aZTcuJycHW7duxaFDh3Dt2jUUFRUhODgY999/P55//nlERkZWqzs3NxcrVqzA/v37kZOTA3d3d7Rt2xbTp09HbGzDCrFOnTqFVatW4fz588jLy4PFYkFwcDB69+6NKVOmIDDQ0eHxzz//xKpVq3Du3DkUFhbCz88P3bp1w9SpU9GuXbsmP6/VasX27dtx4MABnDlzBjk5OfDw8EDr1q3xzDPPoF+/fpBIaMyjmhrxvwFzOBynUBWwrqq+TkxMdBgzaNAglJWVNfte18ukH7CW0Cg6mx3/7cWIjMILGYAwItm2RgLVyeK/Qlr8YcpjLUEQKATIADrXmWYpZS1BEAJkNBbhlQSqkwdJxd9iBAAOopC1BEEIc2nZTlf1JYRI+w09kdltqYyGJXyBuZy1BEEIlfH3a7FAxaWlyKRnLUEQ3KQ0EqcbQ05ODp555hkUFBRg+PDhiI6ORnl5Oa5fv47MzEzbuDfeeAOurq7o168f2rRpg5KSEvz3v//FvHnzsHv3bqxYscIueJqdnY0xY8agpKQEkyZNQlhYGPbu3Yv58+cjJycHM2bMsI3dt28fPvnkE8TGxiI+Ph6enp64cOEC1q9fjx07diA5ORkPPPCAne6LFy8iPj4eMpkMI0aMQHh4OHQ6HS5duoTs7OwG/ztcv34dpaWlGDRoEPz9/SGVSnHhwgV8//332LFjB3744Qe7YPKePXswc+ZMREZGYsKECfDx8cHVq1exfv167N69G+vXr0f79u2b9LwGgwGzZ89G+/bt8fjjjyM8PBwFBQXYtGkTZsyYgXHjxmHBggUNvnaOiALYRJKwOJxmQ1XAOiEhASqVCvHx8VCr1XZj/P39cebMGRbyGkS+6p+sJTSKZ4Jp9MC+aabRByjdRKMqsIvcl7UEp7NPRiNzOlyirnuQCJATWTAJI1Kxe9Z4i7UEQegvp1EVuNvU8IWQlkgggWq5YimNN3utkUZyiUxOIwE1k8bXFnqYWEsQhFYSGkEVFymNuW0FkfY4/gQSaYKtNGzvjXIayV+XjdxCvC5ee+01lJaWYuvWrQgOrtl9c8mSJXjooYfsgtSTJk3CxIkTceDAAfz666949NFHbfs++ugj5Obm4tNPP8WAAQMAAKNHj8bzzz+P5cuXY+jQoQgPDwdQ6aa6b98+h9ahffr0wbPPPotFixZh48aNtu0GgwGzZs2Cr68vvvnmG3h5eTX632HIkCEYMmSIw/YHHngACQkJ2LBhg13QPTk5GQqFAt99951drKJr166YOXMmtmzZgjlz5jTpeWUyGdauXYuHHnrIbuzTTz+N4cOHY926dZgwYQLatm1b7+vmVCKaADaHw3EeKpUK6enp1e670y6cw4YbZhoBTyoV2EYrjRfsqxbxB3dDiQQCTxtoBI5iXSNYSxCEIiuNqqPWCm/WEgQhHc3bBaepeFJOo53Kj2bx32+3m2gkl9zrElD3IBFQbqUR8CTirE2Gq0SCKq5Een1TmfOVELjf5qKCtQRBuGagcQ+y8HLEWjl27BgOHz4MjUaD4OBgmM1m6PV6uLs7JrT27NnTYZtMJsPAgQNx7NgxXLhwwRbALi8vx65duxAWFmYLXlcxefJk7N+/H9u3b8eLL74IADUGXHv16gUvLy9cuHDBbvvOnTtx9epVLFu2DF5eXjAYDDCbzXB1bfr2OWFhYQCAkhL7giedTgeVSuUQPK+qlm6slurOK5fLHYLXAODm5oY+ffpgzZo1uHjxIg9g3wU8gM3hcOokMTERAwcOrLbHtRi4WVi/3hfNFUk7vmIiJsZLaSzC/yUV/8tnuJVG9Ua4kkYFNpXAboGFhmVdayJ2kudMNBbA+lhoVJr3Uoo/6PmjufqkWbGRZ6Fh3etCpF0DR1yoiAR271X4sJYgCGVEEsTPGrSsJTidKCWN72yQgkYF9unSG6wlCEJcXFyt+/fu3Vvt9gMHDgAAIiIiMHPmTOzfvx9GoxH+/v4YP348pk+fDpmsdieNnJwcAICv720HxIsXL0Kv16NLly4O47t27QqJRIJTp07VelygMnhbVlYGf3//anWr1WrEx8fjyJEjsFgsCA8Px7PPPotx48bVeeyaKC8vR3l5OSoqKnD58mV8+OGHACqrwe+kV69eSE5Oxpw5czBlyhSbhfjixYsRHByMsWPHOuW8NVHd58CpP/xtgsPh1AuLxYKkpCSH7RqNBnp95WJ3QUEB1Gp1iwtwj51+lLWERuEqGc5agiBIiZQ2XJCJP3MaANLN4q/ANspoZBRnGAtZSxCEW0R6dJmILPKVWmhUJiulNF730mnEGpBmFX+CCZX5XqahkLUEQVBJafxxein96x4kAiRE/j4rCFSyAsBlUxFrCYIQIvNgLUEQXAm8q5RaaCQUpxOpwJYRadF1t1y5cgUAMG/ePISFheGdd94BAKxbtw5Lly5FVlYW/u///q/G38/Ozsb3338PLy8vuyB6VQ/qoCDHBGClUgm1Wm0LuNbGsmXLYDQaMWLEiGp1z5gxAx06dMCSJUtQVlaGL7/8EgsWLEBRURGef/75Oo9fHatWrcJnn31m+zksLAyLFi1yqECfNWsWSkpKsGXLFmzbts22vXv37li5ciX8/Pycct7qOHv2LPbs2YPIyEh069atQeflVCKaFQ0LawEcDlH0ej2SkpKg0WhsfSViY2NbXBC7JWO10giSWWisl0BHpEdXgVn8lUfBMvH3KgWAUCK2fGYiFmc5RhptKYxE3h6MRAL1f0hpfG9HGcXvHJDKWoBAhBJxL3EnEsDmiItWUvH3EgYAVyJ/n4VWGnMhTwLfWwrXCABuMhrXWW6m8bdZU4V1XZSWlgKotLtOSUmBUlmZpPLEE09g0KBB2LBhAyZPnoyoqKhqf/fFF1+ETqfDp59+Cm9vb9u+8vLKtbiq4/0dFxcX25ia2LZtG1avXo1OnTph+vTp1eqOjIzEypUrbX25+/Xrh/79+2P58uUYP348PD0b7jQwbNgwdOvWDTqdDmfPnsW+fftQWFjoME4ulyM4OBidO3fGE088gcDAQJw/fx7JycmYPn06kpOTG9Sbu77n/TtarRYzZsyAVCrFBx98AIWCxnO3qRFNAJvD4bClKpD9d6oqtFNTU1FaWgpXV1fodDoYDM1novLdih6sJTSK+HYhrCVwmhA30MhCpdDv6DQBGzeAzosnFat0D5mKtQRBKDSVspYgCBYiSW5BRKqrjBLxZ/O1UdCw1lNCylqCIMgJfGcBwEjkXhsiafr+lc0RDzmNpVIaqXxAoUX8rasAwINABbaeiDuCp5TG+5ifK42E/7tFpar8Hjz55JN2wWalUoknn3wSy5Ytw5EjRxwC2KWlpZg2bRrOnTuHN954A/3797fbX9X/uaZ1+YqKCluBWnXs2rULGo0G7dq1w4oVKxwC4VW6R4wYYQteA5WW4nFxcdiyZQtOnDiB3r171/VP4EB4eDjCw8MBAAMGDEBcXBzGjh0Lg8GAadOm2cbNnj0bBw8exE8//WSzOO/Xrx86deqEqVOnYsWKFXjttdcAALm5uXbnkMlk8PGxb1dQ3/PeSW5uLuLj45Gbm4uPP/4YnTt3bvD1ciqhMSvjcDhNTlVgWqutPkBz5/6UlBQAwKBBg+plQyI0nVRLWUtoFPdZ32MtQRBkRBb6yohUYHcl0Mczn0i2f6q5+d3XnYGEyCJ8oJxGINBAZAFMTsSaz4NIv9KjCvFbZ17U59Y9SAT0VIWyliAIpUTmtRQSMwHASuQ6LxNpj9OKSJVnGRE3Ggpzvntk4neiAQCZhMba1w0i99q7pcri++89pu/cVlRk3wpCp9Nh6tSp+Ouvv7BgwYJqez1XHbfKSvxODAYDCgoKagy2/vjjj5g9ezbatGmDNWvWOAR6q45/8eLFBum+Wzp16oSoqCh89913tkByZmYmfvzxR/Tt29dBQ+/eveHu7o4jR47YtvXq1ctuTGhoKPbt29fg895JTk4OJk2ahIyMDHzyySd47LHH7vYSOeABbA6Hc5dUVVwnJCTUul+j0djG+Pv7N8sA9k3P46wlNIqhan4rFxMxFhoLCRel4s+Ev24sYC1BEKREArtUFr9MEhr1OAYLjQC2RErj7zNQQuPZqSdQLxfjQqOXMI0wIFBiFX/SBQC4EVlay7LqWUsQhHvk9bcVbcmUgsZcKFBOwzkg3VTCWoLTkYDKvJZGBfYJg/i/s42hS5cuWLduHbKyshz2VQWffX1vOxeVlJTgueeew6lTp/DOO+9g5MiR1R63Xbt2cHFxwYkTJxz2nThxAlarFZ06dXLYt337dsyZMwcxMTFITk62syW/k86dO+PXX3+tVnfVtob2oK4NvV5vFxCvijuYzY5JlFarFRaLxW7f6tWr7ca4uNTvvfLv560iOzsbkyZNQlZWFpYtW3ZXleYce0Qzy6aS8crhtDQSExMBwNYju2PHjlCr1UhNTUVeXh5jdZXka9eyltAoTO2CWEsQBCoV2GkyGgt9P+uusJbgdHyUNCpZqVgUU1kwkRPJ+I9S0rAppmK1eMpMI2HIk4A96JWKW6wlCIIXkYCKziz+hEUAiFFSSbygMee7bmqayrDmDpUe2C5SGnPbbKP4v7cRchoV2OnmMtYSBMFHQWO95G6Ji4uDp6cntm7dihdeeAEeHpX/XqWlpdi8eTMUCoWterikpARTpkzB2bNnkZiYiGHDhtV4XFdXVwwYMADbt2/H7t27MWDAANu+5ORkyOVyDB482O53tm7ditdffx0dO3bEl19+WWv/6iFDhmD58uXYsGEDRo0a9f/snWdgVNX29p+pmfRMekgBAoYgvYoIAgYQBWkXEAgoKKCiqLneK44V+YtBBSMqAiJNDV2QppQbELFQpJcAAoGE9JA6SSZT3w95Z2RISGEyZydn7d8XzZk95zyHmTlnn73Wepat73N2djaSkpLg4+ODzp071+vfIjc3t9qK7qSkJKSlpdlVUbds2RJyuRx//fUX0tLSbNbfAPDzzz+jvLzcLkDfu3fvBjkuUBmgf+qpp5Cbm4ulS5fWuG9O3RFNAJvD4bBBpVIhLi7OZiV+N2vx2yuydTodgoODERwcjKysLJjNZuTn57OQDwAY/9xRZsduCFwlo1hLEAQpkeCRgcjCEIUFMCpJF1QqsItM5awlCMLfZVUzpcXIfW4hrCUIgpZI30cVEQvxf1karlqhsaJwoXHvPKuratsoRhQELG0pQSWZL4xIkMxI4HkMAAwE3EsAIFR59561YuG6sZi1BEEwWmh8Z6m0dLpXPD098dZbb2H27NkYM2YMxowZA4lEgh9++AHZ2dmIi4tDSEjlM+2UKVNw7tw5xMTEQCKRYNu2bXb7atOmDaKjo21///vf/8aff/6J119/HefPn0dYWBiSkpJw4MABzJw5ExEREbax+/fvxxtvvAGVSoWRI0fiwIEDVbSOGDHC9v8RERF48cUXsWjRIkycOBHDhg1DeXk51q5dC51Oh/fff9/Wh7uuzJgxA15eXujSpQuaNWuGsrIynD59Gnv27IGPjw9mz55tG+vj44Onn34aK1aswLhx4zB+/HgEBwcjOTkZmzdvho+PD6ZPn97gx9VqtZg8eTLS0tIwduxY5ObmVvkcunbtahdQ59QNHsDmcDgOYa2wttqEV2ctrtFobAFt63jr9nPnzgmotnr2bl3MWoJDvORPI2sxzaRlLUEQlESCnmEuVXvliA29hUbfx1CFD2sJgnCdSlWgwp21BEEoJWIJTyWRxldGo5r1rFT8Li1K0Ah4BihoBMjcCbgGcMQHlYCnO5HkLx2RZzIKzqRUihqaE2ljkMmT3Gpl5MiRUKvVWL58ORYvXgyz2YyoqCh8+umnGDp0qG2cdW09KSkJSUlJVfbz0ksv2QWwmzVrhvXr1yMhIQHr169HWVkZWrRogblz5+LJJ5+0e+/58+dhNptRVlaGuXPnVqvz9gA2AMycOROhoaH49ttv8emnn0IqlaJ9+/aIj4/HQw89VO9/h7Fjx2Lfvn3YvHkzCgsLIZPJEBoaikmTJuHZZ59FUFCQ3fj//ve/iIyMxObNm7F69Wro9Xr4+flh2LBhePHFF+scRK7PcQsLC5GWlgYA2LRpEzZt2lRlf/Hx8TyAfQ/wADaHw3Eat1djR0REYMqUKTb7cNZV17fjpn+LtQQHeYK1AE4DUgYaD9gUbG2pPGCn6WlY94a6iL+qAaAT2PWX0QjUq4gsDF030LgOtSDQmkJG5N6Za6DR97GEiEWxDxELcSqcL6fhkNBaFchagiBQcaOh8uxJgePlN1lLEARXGU9yqwv9+vVDv379ahxz6dKleu83PDwcn376aa3jZs2ahVmzZtV7/yNGjKgS2L5XJk6ciIkTJ9Z5vEQisVWtC3XcsLCwe/ocOLXDA9gcDsdp3FmNnZWVhYyMDBgMBpSUNJ5FmzLlPNYSHKLM8jtrCYJgIdJn141I5ZFKIv4pSLlF/JVylCg30/g8dSYaAexUIn1Zo1xoBFUqiPw+XQgsTl80lbKWIAi8Altc+ElonGe6hUZfViq/z0wCPZMBQCqh4UbTSiH+ZNsyAknwANDCxY+1BEHINdJwWeRwOI4hmtVjGmENDqfxcmcvbJVKhdTUVADA5cuXUVZWBoWiMgO/MQWvASA/Zw1rCQ6RF9WMtQRBkBDpszuqnEYF9k/mQtYSnI5aIf5KOUooiVSy5hMJBFKpqKdSjdNSSWOhL8Qs/uvQOSLzvWgZjWtQtkXHWoIg3LLQSP6i0gO7yFTOWoIgBCm8WEsQBCruQhRcdwIlKtYSBCGp/DprCYJg4dEc0pSUlECnq3meKJPJ4Osr/vaDnJoRTQCbw+E4l4CAmit47uyFHR8fD41Gg7i4OAQEBECtVqOgoABq9T+LNYcOHXKe4How/rmjrCU4hKtkFGsJgkBlEf5vhQtrCYJQUUZgIYGGayakRIINJSYai/AechoLQ1QWp/ONNKpZu7oEs5YgCK114k9yS5Q0rkRXZ5FqbhytlJyNioiFeDS3EBcV4UoaCSahUjfWEgRBKqPxrEIhYSjVRGOOQMUF4oYuj7UEDkPmzZuHrVu31jgmNDQU+/fvF0gRp7HCA9gcDqdOBAZW9ke6va91bViD2las720sgWuxQMVa20zjuRM6IudJoaK+PZHFzKNEenQZiPSnLzPSsNYOUfqwliAIJWbxL2YCQIqxmLUEQVjjIv4EE7OexryWCgYLjXsnR1wESMV/rQWANDONJDcTkfUSCtWsreXerCUIwnUTDWvtECKOWJzqmTZtGoYPH17jGBcXGgU+nJrhAWwOh1Mv7uxrXR3WQDXQeKqsa+LCmj9ZS3CIThFm1hIEQWah0bvqbzkN+95AFx/WEjgNBJUqFQOIXGsVNBaGQmXurCUIQgmRe4qOSJAszyT+/rNUEjPbqoJYSxAEo4XGvZMKFAJkAJBqpFHlGSKj0e6orcSVtQROA+FBpKohX0rArQ6AnkhPc071tG7dGq1bt2Ytg9MEEE0Amz8WcTiNA2vv68TERGg0GtZy6sQZ3SusJTjEUwhhLYHTgHhB/L2rAMBVQsNSkgJp+gLWEgQhWEkjsOsmEc3jQY2UWHhgV0yUEelvSYHWLv6sJQiCC5H5XpiURuAol/fA5jRBWoPG77NMQiPxogDiDwZ6EOjzDQAe4gnX1EgpkTYjHA7HMWhcETkcjmDc3vv61KlTaN++PS5evGizCzYYGt+CcZjPZdYSHCOQB7DFRDYa32/EGWTqC1lLcDo8oCIuWsq8WEsQhLP6XNYSBMFXTqPvI5UgmZtUyVqCIKgILNxSSbrwJrJoayBSscsRF94yGhbi+RLxBzwBOokX6Wbxu7S0kNJwDaDSoouKGw2Hw3EMHsDmcDgNjrX3dWxsLHJzc+Hq6gqFQgGttnH2cQkt68tagkNEtaCxMETFacOTSLAhmED/2dYKH9YSBCGLgKUtAFwxFrKWIAgqKY3Hg3wjje+tTEKj/YaSQGAXAHrIAllLcDpnJY3zeaGhoXJP0ZoqWEsQhCglDecAKhbiPhIaSVEFRNxoyglUJgNAKwLB3VLQSHIb4NqCtQRBoNKii8PhOAaNFSoOh8OEiIgIKBQKqNWV/VFzcnKQmJhoN2bo0KHIzs5mIc9Gulvj79NdE48E9mMtQRCkRDKnMy061hIEwUCgwkpG5DtLxULcTebCWoIghMg9WUsQhApLKWsJguAvo1Fp7kUk2JBDoFruasUt1hIEwYVIBXY3l2DWEgShlMC8lhJU5vBUvKI6gsbc9qxF/AlgRWYaSVGlRJzcyomcJ4fDcQwewOZwOE7DWoltZciQIYiLi7PbFhAQgICAAGRlZSEvL09IeTZ8dT8zOW5D0SkivvZBIoBKbmaIhIZl3U0C1XJUvrNUUBD4zgJAmqGQtQRBCCXikKAlsjCUaS5hLUEQfGTi71faSunHWoIg6IkEPI9XZLGWIAjRygDWEjgNiDeRpdIrpkLWEgRBJafhRkOhb7KvjEbCYpaknLUEQci28BUTDodTO6K5u1GxMuJwmjJ+fn5ISEgAAGg0Guh0Opw7d46xKuCM7hXWEhziKdDogU2lAruEiC1WhUX8VWQ0lkro4CWlUYHtS6Ril0IvYQDQEnlGaqlQs5YgCNkm8VdXNZfQ+Cx361JYSxCEFi40EhKoQKWX8DUiLi1d5DR+n1TWEa6axT9HCJaKP5EPAMKl7qwlCEI2xP+d5XA4jiOaADaHw2k8aDQaZGZm2qzDk5OTbdXV3bt3ZymtWh5QBrGW4BBRRBanqeRmehDpgd1FKf4+nsVE+sr1cg1jLUEQss007P0VRHomU6l+pLJom2OiEWyYYhG/HfMuC41q+nAljUB9lqGYtQRB8CFSgU2lcKSFhEYyX6qljLUEQaCSeBEuFf/3NttCw0JcQSQVvg0R1x1H+OKLL/Dll1/WOObXX39FUFCQrW3nhQsXkJycjNzcXDz44INYvXp1te/btm0btm/fjitXrqCgoAAqlQphYWEYPnw4xo8fD5XK3h3y559/xqFDh3DhwgVcuXIFBoMBiYmJ1a7z10d3Xbl+/Tp27NiB33//HWlpaSgtLUWzZs3Qu3dvzJgxA4GB9muMR44cwVNPPVXtvnx8fHDkyJE6HTc7Oxvbtm3Db7/9hpSUFBQVFSEkJARdu3bF888/j+bNm1f7vo0bN+L777/H9evX4ebmhoceegivvfYamjVrVudz5lTCA9gcDueeSE5OtrMDP3So6faRPqJn24PbUXgFtrgogfgrkwEawcDmRDKndURcA0xE0mgsFhqL0+VmGgkmVL63beW+rCUIwhkCcwQqPbA7E+kN3VbmzVqCIPhZaCSgngSNBJMcC432G1Rwk9BY+r5AwBLeRMRyutBII7nEU0ajfZ4jDBo0CBEREVW2Z2Rk4LPPPkO7du1sQeCUlBQsXboUQUFB6NChA/bv31/jvi9cuABPT09MmDABfn5+0Ol0OHbsGOLj45GUlIQ1a9ZAKv0nmWLt2rU4deoUoqKi0LJlS1y+fLlBdNeVzZs3IzExEQMGDMBjjz0GlUqFU6dOYe3atdi+fTvWrVuHVq1aVXnfk08+iW7dutltc3Gpu7ve/v378fnnn6Nv376YMmUKvLy8cOnSJWzcuBE7d+7EypUr0aNHD7v3fPbZZ1iyZAm6du2KN998E/n5+VizZg2OHj2KzZs31/vcqUPjLs7hcBocqx241Qq8b9++AJp2ILupEibzZC1BEEIkNOx7O+ppLIAtQg5rCU4nQEnjgaylhcZvk0giPAxEqquaS31YSxAEHZEAdpqFRq9AA4FFeCWBcwSAI+VprCUIgquURr9SKj2wZUQmQ5cMeawlCEIbhT9rCYKgI+K64ypRsJbgdCJlHqwlCEK6jIZV+jV9PmsJjZ7o6GhER0dX2f7ZZ58BAMaNG2fb1q5dO/zxxx/w86usbG/Tpk2N+9ZoNFW2TZ48GXPmzMG6detw/Phxu8Ds/PnzERgYCIVCgS+++KLGAHZ9dNeVRx99FDNmzICXl5dt25NPPonOnTvj3Xffxeeff45FixZVeV/nzp0xYsSIeh/PSvfu3bF///4qFd79+/fHs88+i48++gibN2+2bU9JScHXX3+Ndu3a4bvvvoNcXvls07dvX4wdOxafffYZ4uPj71kPRUTzdEhjaYbDYYdKpUJcXBxyciqDThEREba/ExMTbYHs9u3b26zDAaCgoKBR9LmuiTCfu990mwJpgTQqODKILJh0sxBZACNgU3xOn8tagiBIiSzaXjUWsZYgCK5S8S9+AUAAkaBKIWhUmmst4q9MBoB8s/itMyuIuCO0dKEROOKICyquHnozjXtKGQFXDwBI1RewliAIPVzE78x31UzDBaLARCMxM0BOoxinoTGZTNiyZQvc3NwwbNgw23YPDw94eDie5BEaGgoAKC4urnb7vXI33XWlQ4cO1W4fOnQo3n33XVy6dOmu7y0vL4dEIqlii14X7rvvvmq39+nTB97e3lWOu3PnTphMJkyePNkWvLbq79GjB3bv3o33338fSiWN9YiGQDQBbA6H41ys2UFW2/A7/9bpdHYV2U2pEvtmYRRrCQ4hiaJhrU2FIy40MsRNevEvgFHpt3a4/CZrCYLgK6dhCU+muorIAhiVnuZU+rLGmsXfK/AzCY3f5nUiVukqIklRVHpgU5nb+stpVHmqQMP5K0Kprn2QCDhnEP99JVzuVfsgEXBeR+P52ktB4/k6JiamxteTkpLqtb9ff/0V2dnZ+Ne//tUgAeuSkhIYDAZotVqcOHEC33zzDby8vNC1a1eH9307Da3bSnZ2ZVtQf//qk0PnzZtnqzYPDg7G8OHDMXPmTLi6OuZ0UFJSgrKyMgQE2M8BT58+DQDo0qVLlfd06dIFR48exd9//4127do5dHxK8AA2h8NxiNsrs63BawAICwtDWVkZDAYDSkoa90LUA8qm3XuiNZE+QCCyCF9CpJ+wO4Hqx1Izjf55vVzDWEsQBCqLfAoii9P5RCqTCwlU7AKAJwHbTADQEpgKWUw0khGiVYG1DxIBf1fQsGKmApVkoRAiNsWlFhpzoRApDTtmk0z860IZpsa9tthQRLo27TXKutJOTiO55Dwadi60ceNGAJX22Q3BzJkzcfToUdvfnTp1wttvv23nrtoQNLRuK1bb8NGjR9ttl8vl6N+/Px5++GGEhIQgPz8f//vf//D111/jjz/+wPfff+9QEHvx4sUwGAxVjmsNqAcHV3VLtfa+zsrK4gHsesAD2BwOxyGsldgajQapqamIiIiATqdDcXEx5HI5FAoFfH19kZ/feHubpLs1nWrx6ngksB9rCYIgJRJUIbA2DYBGBceDSvHbuAHA/vIbrCUIQgsX8Vc+AoCJSFJUCxkNyzqTRPzJQgCQZS5lLUEQ9knEn+RGxe3iFhF7UI64oDB/B4AbRNrGuEhpLAmr4cJagiAcLb7GWoLTGezTlrUEQbhApBXZeSMNe//6VljXRE5ODg4ePIioqCh06tSpQfY5e/ZsFBcXIy8vD3/88QeuXbtWxT7cUZyhGwCWLl2KPXv2YODAgRg1apTda926dcOyZcvsto0ZMwYLFizA8uXL8d1332HGjBn3dNzt27dj1apV6NixI5577jm718rLK+f41VmEu7hU3o+sxX+cuiGa2YqZSCYoh9NYiY+PR1xcnJ2V+L59+1jLIgGVwK5EQuM89UR6y1GoTjYSmZtQqcAuIlKlQuSWAk8iFfX3m2kEsLVSN9YSBCFXIv5+pUYqn6WFhjuCj7T+vQY5HNb4yIhU7BJ57iy3iP/eCQBDiAR3KRBMxCq9kCfz1ZstW7bAZDJh3LhxDbbP9u3b2/5/+PDhWLlyJaZPn47ExMQGsxF3hu41a9YgISEBPXv2xIIFC+q8Zjxz5kysWLECBw4csAWwS0pKqgSVvb29qw1C79mzBxqNBlFRUVi2bFmVMdaqbr1eX6XndkVF5fz/XnpxU0Y0AWwOh8MelUqF1NRU2999+/YFABQUFCArKwt5eY3TQq6p98A2R9EIkklpnCa6mWgsmOzTib9H11EilaydXWhYnLlJaEybPYk8HlBJMDknoxEku2pq2CqBxorFIv7vbYGpjLUEQagw00iKciXQMgYAoon0wKZiIZ5P5DrUSVF9v1CxkWWhUen2V2kaawlOJ8zFl7UEQbhensNagiColTQcsRoKi8WCzZs3Q6VSYcSIEU47zsiRI/HRRx9h48aNDRLAdobuVatWYf78+XjwwQexZMmSelmBu7m5wc/Pz84pdt68edi6davduG+//RYPPPCA3baffvoJ//3vf9GqVSusXr0avr5Vr0lBQUG4fPkysrKy0KJFC7vXarIX59wdGitUHA5HEOLj46HRaGw9sa124ta+GW3btsWhQ03brrsxQsXulUoPbBrLQkBLAn2d7lPQ6OkUYaFhy/c3aGSI3wKNgKecSMOGctCoOnIl0gM7TCb+6uQ8IpWPuSYatvdaE417CkdcKCU0XFoKLOJ3xAIAHyLtVAKV3qwlOB0VkYTiKLdmrCUIgtEi/tY4Dcmff/6JtLQ0jBgxAl5ezqvSt1YJFxU1TDuNhtb99ddfY+HChejbty8WL15ss+WuK1qtFnl5eWjevLlt27Rp0zB8+HC7cdHR0XZ/79ixA7Nnz0Z0dDRWrlwJHx+favffsWNHHDp0CKdOnaoSwD558iTc3NzQunXremmmDo0rP4fDEYw7e2InJiZCo9HYgtjt27eHWq1GcnIyKioqUFJSwlIuAMA38GnWEhxC5rOXtQRBoGKVfkJGI0hWYRJ/UIVGeAxIldBYnC4kYHsPAC5EkoUqiNhmFhCx5qOyoKklYIN6VS9+hxYA8CYSqOdwmiKuUhpJUaESGtehXNCYw/sTSHLTEwl4uhO5BuUZafw2G4pNmzYBQIPYcBuNRpSUlNjW6m9nzZo1AIAuXbo4fBygYXUvXboUCQkJGDBgAD7//PNqLb6tFBQUVDk/i8WCjz/+GBaLBQMHDrRtb926dY1B5W3btuGNN95A+/btsWLFihoD8cOGDcPSpUvx7bffYtiwYZDLK59Tz549i2PHjmHUqFH1DrpTh8aTPofDEZw7q7ETExMBVAa2dTpdo7ITz89Zw1qCY0SFsFbAaUBkRAL17YlYLVIgnUgV2S0idpIuRAKB9ytoWBDqpOIPeAJAjoF9QqQQ9FaK/3t7nrUAgaCyCM8RFxIizyklRJwDZDRyFqEg8r0ttYi/NcUDMj/WEgThsoXG83URkUTbhiA/Px/79u1DZGQkunfvftdxX331ld3f6enptm3NmjXDyJEjAQBlZWXo168fBg4ciPvuuw/+/v7Iz8/HL7/8ghMnTuD+++/HpEmT7PZ17NgxHDt2zPb/QGVg9+jRowCAESNGIDQ09J5014XExEQkJCTA398fgwYNws8//2z3uru7u11Qetq0afD390f79u0RHByM/Px8JCUl4fTp0+jRowdiY2PrdNz9+/fjjTfegEqlwsiRI3HgwIEqY263Ro+MjMS0adOwbNkyTJ48GSNGjEBBQQFWr14Nf39/vPrqq/f2D0AY0axQUbFc5XCaErdXY8fFxQEAtxB3AlQqkyUSGudJJYCdVHKZtQSnM8DzPtYSBCFU5s5agiBQuQaZCPTYBYBcC43FaSqfp4FIMJDGWXLEBJXfJkdchMlp9GVNJzIXUhJxF6LQTuUvUwFrCYJQQSAZAQBClT6sJTQZtm3bBoPBUGsV86JFi+z+Tk1NtW3r2bOnLYCtUqkQGxuLv/76C3/88QdKSkqgUqnQqlUrvP7664iNjYVKpbLb1+HDh/Hll1/abdu4caPt/7t161YlgF1X3XXh7NmzAIC8vDy8+eabVV4PDQ21C2A/+uijOHDgANatW4fi4mIoFAq0atUKGo0GsbGxUCjqds08f/48zGYzysrKMHfu3GrH3NnbOy4uDs2aNUNiYiLmzZsHNzc3PPTQQ/j3v/+NoCDxt1NsaCQWizhWNV5o4fgPoTGy5PrG2geJnLi4OCQkJIjqmHfun8U5Whk8eDD27rW3oK5Jj0ajQWZmJrKyshpVFfW98tdffyGtrD1rGQ4xOSqYtQRBkBExZB4lCWQtQRCOSMVfzepNYBEBAH4pv8FagiCo5UQC9awFCEQ5kYUhCouZABBCJNgQKRG/PWigmcZ8Lwk0FuEfllS1phQj3kTi9PtkxawlCEIZgXYNANBBKv6eyQCQaqFR5RkgEb8lbZBFNHV4NXLY0jC9hxs7uUYtawmCcDjjF9YSOJwmDY0rP4fDaTCs1uAGgwFdunSBTqcD0LQrqzuqFtU+qBHTCfGsJQiCmYjXBo2zBKQEqlnLeK2cqNARCXiKJLe1VuQSGWsJgkDj0wTyiFj8tyPgePGtPoW1BEFo70Kj+uK8hEbgyCSjcbVtRqRnciZ0rCUIwjULjXunG5H2OAEEgrsqi/jXEAAgy0gjWUhNoG87h8NxHPHf3TgcToNjDWKnpqZW6W1dUFCArKwsmM1mAJX9LgBAoVDAYGici/9ndK+wluAQT4FGD2wqVuk9iCzCf2e6xVqC02mn9GctQRDClTSqq1REFr9ciZznNQON6sdSMw170CACvaEBIMQk/rlQlEsAawmCYISZtQRB0JlpJPO5E3G7yLTQCOxaiKR/KYg4nJUQSUI9A/E7B7SU0gh4jlZEsJYgCD/oaTi5ce6OTqdDSUlJreN8fX0hk9FIQOdURTQrVFQq8zicxoI1iG3tbZ2Tk4PExERoNBoAgFqttqvKbqzBazGgI2JxRuUB28eDxsKQS6lopiB3hcbSNJCmpxEIfNA1nLUEQZATSRZyldIINsgsNO6d1/T5rCUIQqZS/FbprQnYpAPAMRON72weEXvQaCWNxAsTkXU3Km2AXEEjGJBiqj04IgaUBNyFboCGq4eSyFyoLZF7J+fu/PTTT7Y4Qk0kJSUhLCxMAEWcxoj4V485HI7TiI//x7raGsxuilbiDyibtoVfSyILCRQspwFgXoWKtQRB8JaJ//M8o8tiLUEQerrSeJBQEAnsFlj0rCUIgkxCI7CrIvK9VchofJ4XIX6XlgCIv4cnABQQcdyhwrGyVNYSBIHKvdNDRuV5jIYlfK6RRgDbhUByppGIq8cNAp8lAAxVhLKWwGFMnz59sGrVqlrHBQTwZAfK8AA2h8OpFqsluJXk5GSbLTjwjzW4GHgiaDdrCQ5x2fVx1hIEQU3kAbsVaJznHpP4q3a7qWjY+x8uv8lagiB0UTVjLUEQKoh4B1CoUgEAT6mStQRByDbRqPKUEUhIuGwqYi1BEG7paQRU2rgGs5YgCB5SGokXrRQ+rCUIQj6R9huZRAK73kT67MoJJJjc0OexliAIj3tEsZYgCH+axb8mxKmZwMBABAYGspbBaeTwADaHw6kWnU6HhIQE299xcXF2fwP2Qe6mWHltJSD7AdYSHOJyCz/WEgThP3oaWaivSTNYSxCEjgrx94fuaaSxmAkiFdg0wrqACxHLaRDp9e1GJFDvRiRQ7ysR/3meN+awliAI9xEJ7OYSsRAvNtKwtc010Ah4+ijcWUsQhFC5F2sJgpBjKmUtgdNABCq9WUsQhMMVNNaEIpRq1hI4HE4TQDQrN1QWFTmcxsSdQW5rQDsnJwcRERHQ6XQoKCiAWq3GkSNHYLFYGmUv7JVo2pOmVhYaV8CzRCqwXYj0IrtgEI+Lw93QE6lSibTQsFm8IqHRn95PQiPxgkofT/HX61ZSYqJRLXfSlMtagtMxEZnX5hMJqJiJXGst/DxFhcVC4zzzeCsDUUHBse6GjkYFdjf3CNYSBCFEQmMdgcPhOIZoAtgcDoc91oC2RqNBamoqEhMTbUHtqKgoqNXqRlmp3XLqDtYSHEIpGclagiBQuWHJiVTLyQgsgFGwegWAGxIagSMidclkAruFRHp9FxKxQZVJaFxvm8vFX3l0lsh3VkJkjkAlIYHK50nlPKmQayhmLUEQ3GQ0kjMLTDScIChApajhbxONaxCHw3EMKvEADofjJG63Ec/JqbT8i4+Ph0ajQVxcXKMMWN/JgFV9WEtwiN+JWIhfkptYSxAEk5HGQl+U3Ie1BKdDJRBIBZ2FxjVIRSSJJphIxr8fkUXb0wYaFTk3jDT6Q1NARaSNgVlCY17Lw0biQkaglzAAtFXRaGXgLqHRiizfIn63qIfcW7KWIAgZJhrtN5REnjs5HI5j0Hhq4nA4DY5Go0FOTg4CAwNtNuJDhgxBXFxco7YLr46mbiEeRSRI1sZIY3J7jLUAToNBY8mWTmVyhET8tnwAUE7km1sEI2sJgkAl8aLcTKOi3oNAQkJzRdOel9eVm0SSEXzlNHoJU+mBTcVCnIr1/d8V4m9LAQAV5qaxLuUoj7hHspbgdE7raXxnWxJpRSYns5LA4XAcgQewORzOPaHT6RAYGGi3zc/PDwkJCRg8eDD27t1b5T0ajQb79u0TSmKd+dtnCGsJDjFC/T/WEgRBRiOmAiOR4FGGWfwLfdnGEtYSBKGjMoC1BEFIt9Cwtc0l8NsEgEApjYQEHWgEsKkEj3QEFuG1UhrXWimRCs9sIhbFVKBiIZ5WTiNI5il3Yy1BECpMNJLcfitPZS3B6SiJuJec1WWxliAIVJKiOByOY4jmys8vehwOeyIiIhAXF4eKiqoLT9a+2H/99Zftb51Oh+TkZOTlsbV9HDzqRabHdxTXX2gEsJMVNBbhIf61aQBAGYFqufZEArtUyDKXspYgCFT6lZYSqcCm0g+xmYsPawmCQKEHdqaJX2vFBJXKR464uM8thLUEQcjS03CC8HcR/70TAPIqxP95NncNrH2QCKDiAsGpG23atLnrazt27EBUVJTtb6PRiJUrV+KHH35Aeno6fHx8EBMTg1dffRVqtb3L0RdffIEvv/yy2v0++uij+Pzzz+22/fzzzzh06BAuXLiAK1euwGAwIDExEd27d6/y/vz8fHzyySc4f/48srOzUVZWhoCAAHTq1AnTpk1Du3bt6vNPAAC4fv06duzYgd9//x1paWkoLS1Fs2bN0Lt3b8yYMaNKkd2ZM2fwzTff4OLFi8jLy4PZbEZISAgefvhhPPPMMwgKCqrzsTds2IC//voLFy5cQEpKCkwmEw4ePIjg4Opbcdy6dQvffPMNDhw4gMzMTLi7u6NFixYYP348hg8fXu9zp45oAtgcDoc98fHxAIDBgwdXec1asW0NXBcUFCArKwtmM/vFm/Y/Ne2eSFdpJE6jrYGGhXixgkZP8z3av1lLcDrFSvH3IQOATkoaCwnlRBbhqfRlLTLR+H1KiVTLlRBIigKAW2bxf2/zjTQC2PkGGv0tPeU03C444oLKnC/cxZe1BEEoMdNw9nAncL2l4lZXQsRZKFhJI7mkIejevTvGjRtXZXtIiH3ClUajwfbt2zFgwAA8++yzuHnzJtasWYMTJ05gw4YNcHOruoCs0WiqBLdDQ0OrjFu7di1OnTqFqKgotGzZEpcvX76r3pKSEqSkpKB3795o1qwZXF1dkZ6ejq1bt2LcuHFYunQp+vbtW9fTBwBs3rwZiYmJGDBgAB577DGoVCqcOnUKa9euxfbt27Fu3Tq0atXKNv769esoLS3F0KFDERAQAKlUikuXLmHDhg3YuXMntmzZUucg9rJly1BQUIDo6GiEhoYiNfXujhclJSUYO3Ys8vLyMHbsWLRp0wZarRbbtm3Df//7X1y9ehVxcXH1Onfq0Fih4nA4TkGlUlV70Q4IqL7q0Do+IiLCdnNUq9U4dOgQAECpVEKvF34BMiD7AcGP2ZBcaeHPWgKnATljYOtIIBQhLuLvcam30KjwpEKgjEYfT1ciAWwKgUAAKCZynjIidsxKifiT+ahUHXkTse6l8nlyxEW4gkZQ5UoFjedOKs9k+RXib9lQYixjLUEQggmslQCAxcLnCHUlPDwcI0aMqHHMn3/+ie3bt+ORRx7BkiVLbNvbtWuHl19+GStXrsRLL71U5X0DBw5EWFhYrRrmz5+PwMBAKBQKfPHFFzUGsJs3b47169dX2T5hwgQMGDAAy5cvr3cA+9FHH8WMGTPg5eVl2/bkk0+ic+fOePfdd/H5559j0aJFtteGDx9ebbVzjx49EBcXh02bNlX771Eda9asQWhoKKRSKd54440aA9i7d+9Geno63nnnHUyaNMm2fcKECRg0aBA2bNjAA9j1hMYKFYfDcQrx8fHVXnRvt+2wVlzn5OQgMTHRZiUeERGBc+fO2b2PRfAaAFaiaU8OW1loWGvraKxNw2Ci8Xm6EAiSUbEHjbC4sJYgCDoJjc/TRKSygcp5Bss8WEsQhAIivdtVEH8Am8q9UykV/zwIoPN5UmlpR+U8U/T5rCUIQlsXGi5KKcZC1hIEwdVNyVqC08mqKGAtQRBKTTRcA3q5NGMtoUlhMBhQUVEBD4/qn++2bdsGAJg6dard9kcffRShoaHYtm3bXQO2Wq0WLi4uUCju7lBaXVV2ffH394eLiwtKSkrq/d4OHTpUu33o0KF49913cenSpTrtxxqsr4+G8PDwOo+17vdOS3NXV1d4enpCp6ORYN6QiOapicZjEYfT9NDpdEhISEBcXJwtmH3r1i1kZGSwlmbjGTTtSfDvEhqW09dkNAK7UhMNu9f7FeK3rDupz2EtQRBSJTQesK8amva9oq5QyYRXy8RvswgAOiJVRwYiQTI9xD8XolJNLyFi70+ljQGVz7O9K43e0NlEWhmUWGhYpXtKaSTb5prE304l0rXuPWubMoUmGpXm18002qnExMTU+HpSUlKt+9izZw+2b98Ok8kET09P9O/fH6+++qpd5fTp06chlUrRuXPnKu/v0qULdu7cicLCQvj4+Ni9NmLECGi1WkgkEkRFRWHy5MkYO3Zsnc6tNgwGA0pKSmAymZCZmYmVK1eirKwM/fv3b5D9A0B2djaAyuB4dZSXl6O8vBwVFRW4cuUKFi5cCAANquF2evfuDalUigULFkCpVCI6OholJSXYsGEDbty4gQ8//NApxxUzoglgczicxoNKpbJVZufk5Ni2ZWZmAgDatm2L5ORkKBQK5OfTyG7mcOqKREJjASzdLP6HMipVKlTwkapYSxAEGmFAwEDkTKlUP/rKaNgxUwmSUaCLkkblYw6RNgbnifQrPV+exVqCIFCZw1cQSXKjkkhjIOLMx+FQo3379nj00UfRokUL6PV6HD9+HJs2bcKhQ4ewdu1aW9/nrKwsqNVqKJVV3RisvZ6zsrJsAWxPT0/861//Qrdu3aBWq5Geno4NGzbg7bffxoULF/Dee+85rP3EiRN46qmnbH97enpi+vTpePHFFx3etxWrbfjo0aOrff2bb77Bl19+afs7LCwMH330ER588MEG03A70dHR+OSTT/DRRx/hueees2339vbGkiVL0K9fP6ccV8zwADaHw6kz1gpq4J/AdHXEx8fb/t9aeZ2ZmQm1Wo3k5GRkZGQ0qsB1U7cQHyT3qn2QCGhjFL9tJgAcl9zdskdMhEjFH2zIsoi/DxkANCdiIV4oFX9VAwCoJTQ+z1QTjYx/PyKV5grQqNo9UnaDtQSn46fwZC1BEKi4tFSYaVR4UoFKYLe1ikaCSZaBxrOKu4xGEiqF9jhXy2gk0fTzimItQRCo3FN2Ju1y6P0//PCD3d/Dhg1D//79MWPGDHz44YdYsWIFgEoHVG9v72r34eLiYhtjZcqUKVXGTZgwAZMnT8batWsxYsSIaqu560N0dDRWrVoFvV6P69evY9u2bSgtLYVer4dc7nhYcunSpdizZw8GDhyIUaNGVTtm5MiR6NatG7RaLc6fP4/9+/ejsLDQ4WPXhFqtRqtWrTBs2DB07doVhYWFWLt2LV555RV8+eWX6NOnj1OPLzZ4AJvD4dQZqx04gGp7X1eHSqXCvn37nCmLPHoimbY08sOBYiKVKlJUP7EWE1Sy4G8QsRBXWWhMm2mEAQF3KY1kISWRTzTNRGMRvodbBGsJTudvwy3WEgTBi4irh5HIXIjKIryZxmnCk0hCsZlIwlCmvoi1BEFwITC3DXTxYS1BEE6U32QtQRCGubVmLaHJ0q9fP3Tq1AmHDx9GRUUFXFxcoFKpoNdXn3RfUVG5ZqNS1Tz/lMvleOGFFzB9+nQcOHDA4QC2t7c3evfubft71KhRGDFiBNLS0vDNN984tO81a9YgISEBPXv2xIIFC+7qZhkeHm7rYT148GDExMRg/Pjx0Ov1mDFjBoDKvtV39qb29vautpq9Ng4ePIjnn38e7777LiZMmGDbPmzYMAwbNgxvvvkmkpKSauw3zrGHxkoch8NxGiqVCt27d7fbJpFImlQPzXLpm6wlOESWaT5rCYIghQdrCYLQiYilpIyAlZtCQsM1gApZZhr9EKlUslLpDW0hEiTzJHKe5yrEX3kUofRlLUEQWkhpzGsDZQGsJQjC98ZLrCUIApUe9VTajFCpwPaRi9/5CwCMBNrG9FOFsJYgCAf0GawlCMJBfTprCU2asLAwnD59GoWFhQgKCkJwcDCuX78OvV5fJfBq7RMdHBxcp/0CcIpzqre3Nx555BEkJibi5s2bdj2868OqVaswf/58PPjgg1iyZAlcXevuOtaxY0dERkZi/fr1tgD2vHnzsHXrVrtx3377LR544IF6a1uxYgXMZjOGDBlit93V1RX9+/fH999/j+vXr+O+++6r976pIpoANpWMVw6nsWG1C7dmKiUnJ6OiogIlJSUsZdULV/OHrCU4hInI5U8q/ngnAOCMPpe1BEGg0IuMSj/zw0QyxKkkJLjJaFiI64kEsHOILE53d723xY+mRkuV+CuwD+mI3FOUNAKBINAyBqCzHtXTLZy1BEEoNtNoGxMgp1GBrTXTcIui4P61vewqawmC4Cmn0QKor7IZawlNmuvXr0OhUECtrmyL2bFjR1y7dg2nT59Gjx497MaePHkSERERtv7Xte0XAPz9/RtaMoB/4gfFxff2nPr1119j4cKF6Nu3LxYvXmyzR6+vhqKif9w5pk2bhuHDh9uNiY6Ovid91mQBs7lqUpHRWLkGYTKJ/3rdkIgmgM3hcIQlOTnZZiNeUFAAtVqNQ4cOMVZ1bzyDAtYSHOJPiXMmFRw2UKls8JSKP0hWaCpnLUEQwpVq1hIEIdvYdBKzHIFCcgkAlJloLGaam5AjjiOUWGj02S0j0FCFSvJXJpF7ilop/vkeAEiI3DtvGGlYMRcYy1hLEIRIpR9rCYLgKadh01pBoAI7S9fwFaGNkW5EEjOTTTTuKY5gXW+/k507d+L8+fMYMGCArdp6xIgR+PHHH7Fy5Uq7APbevXuRnp6OWbNm2bYZjUaUl5fD09M+kam8vBxffPEFACAmJuaedefl5VUbAL958yaSkpLg6emJVq1a1Xu/S5cuRUJCAgYMGIDPP/+8Rovv3NxcBARUdQJKSkpCWlqaXR/q1q1bo3XrhrG0v++++3D9+nVs2bIF06dPt20vLi5GUlISPDw8EBkZ2SDHogIPYHM4nHvCbDZDpVJBp9PZbqZ9+/ZtkhXYby7JYS3BIZ4AjQC2jMYaPBlSdOKvNPdRuLOWIAhp+qadBMSxh0pgl0qykJRIMPCSLpu1BEHwkYv/vtLHJZS1BEE4ZchjLUEQcsw0kvl8FTQs4bP1NFw9OrrSqAo8WUbD8YKKQ4K/0ou1BKfjqaDh6kFj9s7XEerCkiVLcOLECfTq1QshISEwGAw4ceIE9u7di4CAALz11lu2sb1798awYcOwc+dOPP/884iJicHNmzexevVqtG7dGlOnTrWNLSsrwyOPPIJHHnkErVq1gq+vL9LT07F161ZkZWVh+vTpaN++vZ2WY8eO4dixY7b/B4Bt27bh6NGjACoD6KGhlfP4ZcuW4Y8//sDDDz9sswm/du0afvzxR5SVlWH+/Pn1rpxOTExEQkIC/P39MWjQIPz88892r7u7u2PgwIG2v2fMmAEvLy906dIFzZo1Q1lZGU6fPo09e/bAx8cHs2fPrvOx9+/fj4sXLwIALl2qbBvz7bffwsOjcv43efJkWzLAc889h0OHDmHhwoW4fPkyunbtiqKiImzcuBG5ubl4++2376m3NmV4AJvD4dwzOp0OCQkJdtvi4uKgUqmQmZkJtVqNgoICZGVlobi4GBaLBWazGVKpFAZD46mU+fCFpt1z2PwRjQcyA5FZvMVM4/N8xF38GYd6Iv3zjpXT6F1FxVqbSmDXXUrjobGUiA2qF5Ee2C1k4g+S/VZB457iLxf/ZwnQqUzON2hZSxCEh9ybs5YgCBkmGhXYESoaFdhaIsmZLeU+rCU4nWtEnIWouF2EEnFyc4QHHngA165dw44dO1BQUACLxYLQ0FBMmTIF06dPh5+f/XV8/vz5iIqKwpYtW/D+++/Dx8cHI0aMwKuvvgp3938SYVUqFYYMGYIzZ87gl19+gVarhaenJ9q3b4933nnHLhBs5fDhw/jyyy/ttm3cuNH2/926dbMFsAcMGIDs7Gzs2bMH+fn5MBqNCAwMRP/+/fH000+jY8eO9f63OHv2LIDK6u4333yzyuuhoaF2useOHYt9+/Zh8+bNKCwshEwmQ2hoKCZNmoRnn30WQUFBdT723r17q/TIXrFihe3/hw8fbgtgd+jQARs2bMDSpUvx559/YteuXVCpVGjXrh00Gg0GDRpUr/PmiCiATWOJmMNpPNxpw6HRaKDT6ZCTk4OIiAhbVfa5c+eqvLex9XrQ+ExgLcEhRqj/x1qCIFyRNa7vjbPogqadUFFXko3it/+iEjiiUuFZTMROkkqwoVhC4/OkkpBgIbKg+TuBShWVlIbVayCR3tBFFhpzISocLktjLUEQqFyHvIn02S0j0gO7mMD1tplC/FXmAJBnLGUtQRBSK26xltDoiYmJqZeVt0KhwHPPPYfnnnuuxnFKpRIffPBBvbTMmjXLzoa8Jnr37o3evXvXa/+1MX/+fMyfP7/O4ydOnIiJEycyOXZ0dDQ+++yzBjk2R0QBbA6HIyyBgfZBNms1dlxcHHQ6nc1evH379tUGsTmc+kKlL6uRiMWZziz+Pp4dlDSSEf7S0aiWk0tkrCUIApWAp7eMxqJtiUnHWoIg6C3iv6cAgC8BC/EyIslff5SmsJYgCNFuIawlcBqQB90iWEsQhAMlf7OWIAhyKY25rc7UeNz/nMnlcvG3U1HJaCSXBBIJ1CuIXIM4HI5j8AA2h8NpUFQqFVJTU3Hr1i20bdsWarUa7du3R1ZWFvLyGmevt/sKd7OW4BBRLWgEdiONNIIqh1HIWoIgKAgEA89UiH8RAQBCFT6sJQgCFbcfJYHfJgBc0eWwliAIAQpP1hIEgUbqFxBIIIB9tYJG0gWFXqUAkGMoYS2B04D8WZbKWoIgqJU07p0eUhrtcYxEnNxauojfEv6vEhrJX55EEm0D5DSutZy7o9PpUFJS+1zR19cXMhmNdQpOVXgAm8Ph3BPWQPWdxMfHIy4uDrm5ubb+2BqNBjdu3EDfvn2RnJyM4uJimEymRmMlfmXJJdYSHGK4pB1rCYJwTUYjfGQ00DjPPAILmp5EbPnSDYWsJQiCu4xGj10qULG+v2Wk0ZeVykLfRQKJFx1UwawlCEKkhIaF+BlzMWsJglBsLGctgdOAUHHdSdXRsO91lSlZSxCE3wsvs5bgdMLdAmofJAIqzDRcA0os/N5JnZ9++gkajabWcUlJSQgLCxNAEacxIpoAtplI3zMOp7FgDVRXh0qlQkVFhd3Y2NhYqFSVi/8uLpWZvnXJshICi+YV1hIcQqpOYi1BEKIMNCqwfyVSR0YluEsBKhXYaQR6zwJ0LMSpLE4rpaJ53KsRKs4BbVVBrCU4nb/1NAIqFy25rCUIApV7CofTFPEjUmmuI9Kawl/lzVqC08mpKGQtQRA8FTSS3MqMNFx3OHenT58+WLVqVa3jAgJoJK9wqofGigaHw3EIjUaDnJycKn2v70Z8fDwGDx5sty0iIgKpqalo27YtEhISoNFooNPpUFBQALVajUOHDjlDep0I3/wis2M3BF2n/4+1BEGgUSsHuEpp9HUyNBIHBmdiIZKMQKUCm8rnSSXYYLLQcLuwEEnyVfOkKNEQIPdgLUEQsgw0KpP7uoSyliAIf0qyWEsQBCrPKaVEAp639I2joMDZBLqIP7ALADkVRawlOB0qgV0qPbD1BFrjcGomMDCwzrEGDl14AJvD4dSKTqdz+IYSHx8PjUaD1NRUaDQa7Nu3r4HUOc7MgX1YS3CIPy3+rCVwGhAqCyYqifinIFEKNWsJgnC4/CZrCYJAxaLYTCRQT6XvIxVSiFTtUmhlQMU2U0HEHeFQRTprCYJAxUKcSpIbFcvpVq40ggbXdXmsJQhCT/cI1hKcztHSqm0MxUhrVx/WEgShwFJR+yAOh0MeGk9NHA6nUWC1HdfpdPjrr78AwFaJffr0aRQXs6lE0PhMYHLchmKEmkYF9iU5jWo5ORGrdArB3TN6GvagVHoJexEIHAF0rJhTKmgsZrrJaATqVVIawQY/mfgrj7KI9EzO09M4T2+5+L+zHPFRQiQhgYobDZVnlU2Zx1hLcDoPBkSzliAI/ysRfz9zAJASee7kcDiOwQPYHA7HKdytP4VKpbJVYd9uIR4REYFz584JrJLTlKBSFUjlPKkEdzniIUNfyFoCpwGh0gObSjWr3mxkLUEQKPTxbKWk4SxEJXBEpWKXIy7MRNpvULl3uhCxvndTiD9pschUxlqCILjJaSRO8zkCh8OpC6IJYNOYXnI4jQuVSoW4uDgAQE5Ojt1rd7Mcv70K+/Ze2ACgVCqh1wu/MBdfuE7wYzYkxha+rCUIwjAdjUX4o3IaQZVAmfj7HaUR6Q1NZZHPaBF/33YAkIBGlQqVahw/Kv2E9eLv+0iF6/p81hIEIUDhyVqCIOiIJNEUg0bFroXIypuSiMU/lblQHoHe0AAQ5RXKWoLTyaooYC1BEHp5RrKWIAhqifiTLjgcjuPQmJVxOBynEB8fb/t/ayC7LlirsG/fh0ajwa1bt7Bjxw5oNBocPnwYJSUlDSv4LhyY+psgx3EWrpJRrCUIQgoR+169hcbCbbpR/NaZUiIZxeFK8dvBA0C2UZh7EkcYqFjClxMJHlFJMLGYxR888iDy28w10Lin8OoqcUHl89QSsRCXEXGjkRAJ1FNwcpMSSbRN1mWzliAIVFwgOByOY/AANofDERxrFfad2zQaDeLi4lBQUCBY8BoA9vWMEuxYzmD4L+1YSxAEGkaLNB48qdCKQJ9vADhfQeMBWymhMW2mknhRxgO7ooJKn12tScdagtOh4hqgIHKtVRIJkJ0jEvCk4rrjrRC/UxRAp5UBlbYx2TrxVydHuFXv9Cg2fKQ0kvlSibjuOEqbNm3u+tqOHTsQFVX9mnZ2djaGDh2KkpISvPLKK5g5c2aVMfv378eaNWtw5coVaLVaBAUFoXfv3pg2bRrCwsKqjNdqtVi+fDn27t2L9PR0qFQqNG/eHJMmTcKIESPsxl68eBHLli3D6dOnkZubCz8/P7Rr1w7PPvssunbtWs9/BWDbtm3Yvn07rly5goKCAqhUKoSFhWH48OEYP348VCr7343ZbMb27duxfv16pKSkQK/XIzg4GAMHDsTUqVPh61s3N9P6HLeoqAjbt2/Hr7/+iitXriAvLw8BAQFo3749nn/+edx///31Pm8OD2BzOBxGqFQqjBw5Ejk5OUxsw29n0NHLTI/vKK6gUYFNY5kPkBM503ZKP9YSnA7v8y0uCgylrCVwGhCVjEY/RCpQsb53k4nfavGWUctagiDkG2icJ5XkEo64yNfTcEigAhXnAAoJJjoT27VDobiooxHYVRGY1zYU3bt3x7hx46psDwkJuet75syZA5Pp7snMa9aswYcffoh27dph2rRpcHd3R3JyMjZv3ozdu3djx44dCAgIsI3Pzs7GU089hYKCAowaNQqtW7dGeXk5rl+/joyMDLt9nzlzBrGxsfDx8cG4ceMQHByMjIwMbNy4EbGxsVi+fDn69OlTr3+DCxcuwNPTExMmTICfnx90Oh2OHTuG+Ph4JCUlYc2aNZBK/7nez58/H2vWrMEDDzyAF198EUqlEidPnrQF4Ldt21Yl6O3ocU+fPo0PP/wQvXr1wvjx4+Hr64sbN25g/fr12Lt3LxYuXIihQ4fW67w5Igpg84o1DqdxcnuP6zvR6XTMg9cAsHfrYtYSHGK4D43rH40aMjr3M0/xTEHuCpU+gRQWSwA6fQKp9H2kApXf52NuLVlLEISdpVdYS3A6XdyqVnuIkQAilebuUhrJQjoibhdXdTSSM/2UXqwlCEIxkeRMKp9nWpn4f5+5ehr9zMNdA2ofJAIqiDhiNQTh4eFVKpxrYteuXTh48CD++9//Yv78+dWOWbFiBYKCgrBu3Tq4uPyTTBAREYH58+dj7969iI2NtW1//fXXUVpaim3bttUYOAeAb7/9Fnq9HitWrLCrEB84cCBGjx6NjRs31juArdFoqmybPHky5syZg3Xr1uH48ePo0aMHAKC8vBxr165Fhw4dsGbNGlsrifHjx8PT0xPfffcdDh8+jP79+zfocSMjI7F79240b97cbvzw4cMxevRofPjhh3jsscfsAu2c2uErVBwOxymoVCqbHTgAqNVVrXTz8vKEllUtg0e9yFqCQ0QdOsxagjAQmdu6ElnoK4L4+x09qKx5Ui8WftGlspYgCH4KT9YSBMFdqmQtQRCyDcWsJQiCh5xGZcNfBvEv2gJAJ7dQ1hKcTguJK2sJgrCp/AZrCYLgq6ARqC8mYiFOpZKVynl6EbFKp2IhrjeJ//k61M2ftQROA1JIJImmoTAYDKioqICHR81zq/z8fHzwwQd46qmnarSsLikpQVhYmF3wGgCCgoIAwK46+fjx4zh8+DA0Gg1CQkJgMpmg0+ng7l79fUSrrXQaCgy0t/237tvVteHm+6Ghlc9HxcX/PN/rdDoYDAb4+/vbgtdWrJrqUn1d3+NWZ7sOAFFRUbjvvvtw4cIF3Lp1y66ynVM7PIDN4XCcilqtRnJyMs6dO8dayl1p6j2wnzhAo4dGsoJGUKXUwN6VQAhMMvFXBVYQ6dxOpcKzyFjGWoIg5JppBHaDXXxYSxCEMlMFawmCEOJStx5mTR0fifiT3I6baNhmxni0Zi1BELqZaCTR7FSIv/csQKcCWymhsVRaZqExR1ARcReK8RP/ulCxmcZaCZ1EWxq9vmNiYmp8PSkpqdZ97NmzB9u3b4fJZIKnpyf69++PV199tdqA6bx58+Dq6oqXX34ZZ8+eves++/btiz179mD+/PkYM2YMPDw8cOHCBSxYsABt2rTB448/bht78OBBAJXV2bNmzcKBAwdgMBgQEBCAiRMn4rnnnoNM9k+yUJ8+fXDgwAG89tprePnll20W4osWLYK3tzeeeeaZWs/5bpSUlMBgMECr1eLEiRP45ptv4OXlZddXW61Wo127djh48CC+/vprDB48GAqFAidPnsSKFSvQp08f9OzZs8GPezfMZjNyc3OhUCjg5UXDFaQhoXEX53A4gnC7Xbi18jorKwtmsxm+vr7Iz6exICU0VCynR1bQeFg5KqORIZ5iKGQtwem0UviwlsBpQKhUkRmI2KBKec9kUZFjolHBkU1gzldsqr71kNhoJ6vqTiVG9kho2L1eLs9mLUEQqFQmG4nMhQxmGudZQCQJNaOikLUEp+NOZF4brPBmLUEQyogkJDhK+/bt8eijj6JFixbQ6/U4fvw4Nm3ahEOHDmHt2rVo1aqVbezBgwexc+dOLF++HG5ubjXu9/3334fZbMa3336LVatW2bYPHjwY8+fPt6uSvnr1KgDgrbfeQlhYGD744AMAwLp167Bo0SJkZmbi//7v/2zjJ0yYgOzsbHz//fd2vbujoqKwceNGtGjR4p7/PWbOnImjR4/a/u7UqRPefvvtKs6vn3/+OTQaDRYuXIiFCxfatsfGxuLNN9+st413XY9bHYmJicjNzcWoUaOqVLxzakc0AWwqfSY5nMaKSqVCamoqEhMTbdusfSLUajUOHTrESlqtfPhCYO2DGjGWj2hc/87LaFhKylDCWoIgtCRgxywjEiCjgslCo6KeSmDXg4hV+i0TjUVbLymNhYBWMvFn7KdJaSQjnDHeYi1BEPyIzN+jXINYSxCEK7oc1hIEoaMLjc+z1CJ+y2kAKCNynlqz+CvqFUTs4KngSSQh4aeknxx6/w8//GD397Bhw9C/f3/MmDEDH374IVasWAGg0rb73XffxbBhw/Dwww/Xul+lUomwsDD06NEDw4YNg4+PD06cOIHvvvsOr776KhYvXgylsvKZubS0cn7u6uqKxMRE2/bHH38cQ4cOxaZNmzB16lRERkYCAKRSKYKCghAdHY2BAweiRYsWuH79OlasWIFp06ZhzZo1Ngvu+jJ79mwUFxcjLy8Pf/zxB65du2Zn423F1dUVERERcHd3x5AhQ6BSqfDbb79h3bp1qKiowLx585xy3Ds5cuQIPvroI4SFheGNN96o1zE5lYgmgM3hcNgSHx8PjUaDRx55BHK5/aXl8uXLjFTVjTeXNO0H8RfkLVlLEAYaz50osxBp9k0AE0+uExXNFOIPHAHAlQoa9qCRChrVjyoiNqhZJi1rCYJwmkClSphc/AluAJBnoZFc8ndFHmsJglBuEv9vE6BTgZ1rpuEEkWukce+kYiHuQSCZL9tII9n/fiWN/ri3iFxrnUG/fv3QqVMnHD58GBUVFXBxccHHH38MnU6HN998s9b3m81mPPvss8jNzcWuXbts/aAHDRqEiIgIzJkzB5s2bUJsbCyAf/pFP/HEE7bgNVAZBH/iiSewePFiHDlyxBbAXrhwIVatWoWtW7ciKuqftp19+vTB6NGj8fHHH2PRokX3dO7t27e3/f/w4cOxcuVKTJ8+HYmJiTY777KyMjz55JPw9/fHunXrbH2whwwZAh8fHyxfvhyDBw9Gv379oNfrUVRk7xikUqng6Wn/TFKX497J8ePH8fzzz8PX1xcrV66Ej4/PPZ0zdWjcxTkcjiDEx8djypQpNvuMgoICqNVq239TUlJQVlYGg8EAhULRaCzFm3oF9o2PaFjzBclpVMtZ9DSCnqkEHj5bymkEPKmgJ2In2VN1b5nQTY3zBhrVjwYzjeyvlkoaPbA9CCQkUJgfAECGjsY1yE9JYy5UzlqAQFBxPgyW0nAOKJTQ+OZ6Smn02S0hEAz0JuLqcUFPI6H4QWUIawlNmrCwMJw+fRqFhYXIy8vDxo0b8cILL0Cr1UKrrUxQys6ubHFSVFSEGzduwM/PDx4eHjh+/DhOnjyJSZMm2YLTVoYMGYI5c+bgyJEjtgB2cHAwACAgoGpyhXWbNQhsMBiwevVqREZG2gWvAaBNmzaIjIzEkSNHGuzfYeTIkfjoo4+wceNGWyB57969SEtLw8SJE23B69vPb/ny5Th8+DD69euHkydP4qmnnrIbM2rUKMyfP7/ex72dY8eOYcaMGfD29saaNWvQvHlzB8+ULuJ/AuZwOIKyevVq2/8PHToUGRkZjSZQfTc0PhNYS3CIT/xOsZYgCH+YaCz0dVE27YSKuvKoTvxTkPnmDNYSBKGXaxhrCYJw2VDAWoIgUOk/607EQrwCNKrlwiU0FjQvm8Uf3C0y0QioBLj4sJYgCFSSaKggIdJm5HhFJmsJgiAnYsdsAo02QMklN1lLcDq9vFuzliAIChmN+ftRfTZrCU2a69evQ6FQQK1W4+zZs7BYLPjqq6/w1VdfVRm7evVqrF69GnPmzLH1pwYAk6lqkr512+2vde7cGevWrUNmZtX7Y1ZWFgDAz88PQGUxm8FgqHbfAGA0Gu/62r1QUVHZPuH2Kur6nF90dLRdD3AACAysfV22uuNaOXz4sK3yes2aNQgPD6/LqXDugvhXjzkcjqBoNBrodJWL3wEBATh37hxjRbUTVly91UdToXPEXtYSBIFKX1YdaFR5/qoS/0OZsYLGZxlhEb9dHQBIFDQqPF2JBDxzLeLvEwgA7jIaj3s0rrZAC6kHawlOJwM0nIXy9bX3zBMDvgrxf2cBIFjpzVqCIOQaxJ9EAwDuBKyYASBYTuP3WUyg/QYANHP1Yy3B6VBp0ZVloDFHUMloJBQ7gtXR9E527tyJ8+fPY8CAAVAqlejQoUO1ltxXrlzBF198gaFDh2Lw4MFo164dAKB168pkkP/973/497//DS+vfxxztmzZAgDo1KmTbVtMTAy8vLywbds2vPDCC/DwqLx/lJaWYuvWrVAoFOjTpw8AwN/f3+bCeurUKXTu3Nm2n5MnT+L69evo3bt3vf4djEYjSkpKqv23WLNmDQCgS5cutm3W89uxYwemTJkChUJx1/Pz9va+q576HhcA/vzzTzz//PMIDAzEmjVr0KxZszqfJ6d6RLOiQSOfjsNp/Oh0OiQkJNj+1mg0SE1NRWJioi24ffsNrKCggHmQO1/1GNPjO8rAwP6sJQjCnbYvYuW6kcbDSoDcn7UEp0OlqoHGL5NOYJcKuWYaVZ5aiaL2QSKgr8SHtQRB+N1SyFqC02lOpD99oaGUtQROA5Klp5F4QaUHdpGJRo/6ciKBXSq20zqzgbUEp5Oqb9zujg1FoIJG+w2tiUZCsSMsWbIEJ06cQK9evRASEgKDwYATJ05g7969CAgIwFtvvQUACAoKwpAhQ6q832rV3bp1a7vXo6OjMWTIEOzevRsjR47EuHHj4O3tjRMnTmDHjh2IiIjA+PHjbeM9PT3x1ltvYfbs2RgzZgzGjBkDiUSCH374AdnZ2YiLi0NISKUlvFQqxaxZszB37lxMnToV48ePR4sWLXD9+nWsX78eCoUCr7zySr3+HcrKytCvXz8MHDgQ9913H/z9/ZGfn49ffvkFJ06cwP33349JkybZxvfv3x+dO3fGqVOn8K9//QvDhw+Hq6srDh06hAMHDqBTp0549NFHG/y4Z8+exfPPPw+j0YixY8fi2LFjVfY5aNAguLm51ev8qSOaADaHw2mc6HQ6m/WGNbg9ZcoUAJXBa6vVCEtuFkbVPqgRY4qikcIjs9BYMCkn8OAJAHkQ/3m2VPiwliAINyQ0HjzzLUQW+YgEPNVE+iFSqVTxojEVgicB6/vzFTTsJJVSvhTDaXpQ6YHdXCn+SlaATsuGZjIaleZlCvE/X6eX57GWIAhUEuHbKMVf1OAoDzzwAK5du4YdO3agoKAAFosFoaGhmDJlCqZPn26z7b4XFixYgM6dO2P79u1YsmQJTCYTAgMDERsbixdffNGuKhuo7PmsVquxfPlyLF68GGazGVFRUfj0008xdOhQu7GxsbEICgrCd999h82bN6O0tBQ+Pj7o27cvZs6ciejo6HppValUiI2NxV9//YU//vgDJSUlUKlUaNWqFV5//XXExsba9fKWyWRYtWoVli9fjr1792LRokWwWCwICwvD888/j+eeew5yee1z8foe9++//7a50i5cuLDafSYlJfEAdj3hT00cDsdhbrcNz8nJsduWk5ODiIgIxMXFIScnBxqNBmq12ha8zsujMQF1JjIiVYFUKrCp9GWl8K11l/BplpigEtiVEamp7wgai5mXQGNx+qaMRgT7JgGXFirzPT2V3tA01uDJQKUH9omSFNYSBCFIRcPxophIEqrRIv6GKgopjecxKm40N4002lI4QkxMDGJiYu75/Q888AAuXbpU7WsKhQJTp07F1KlT67y/fv36oV+/fnUaO3DgQAwcOLDO+64JpVKJ2bNn1+s9bm5ueOWVV+pd7e3IcUePHo3Ro0ff8/E41cNXVjkcjsPcbhseFxdnty0uLg7x8fEAKoPamZmZUKvVSE1NhVwuh1KphF7P9oEizOcy0+M7TCDvp8FpeqSbxG+dOUBKo3rjskTHWoIgeBKZNmuJdBMuk9CoIiNSLAcXC42gSlu5L2sJTueIKYO1BA6HQxw/Fxr2veFE3KLKLTQShlREkm0pUEIk6aKCyG+Tw+E4hmhW4sxUVmc4nCaGSqXClClTkJWVBbPZDK1WyzxgfSe+up9ZS3CIrhEfsZbAaUDKLOK3/gKA9gQW4TfpU1lLEIROykDWEgThgqmQtQRBUBFxDrhhFn8lKwC4EXH1uCKlEcA+Uib++0obVRBrCYJAxR40SO7JWoIgFBtpuF1QwWCmkcyXbqDRuz2YSD/h63rxuxsaiLRbo+KyyOHk5+fDZKr5nqtSqeDpSWM+yakeGitUHA6HGfHx8dBoNAAAtVqNnJwcJCYmArC3Hi8oKLBZi99uMW42m5Gfn+9Ujfmqx5y6f2czMLA/awmcBsSLSF9WHYEqTyoPnhSq6QHAlUhVQyGRfogFRhrf2/tcAlhLEASzhSczi4U0QyFrCYJgIfKd1ZorWEvgNCDBSm/WEgThXIn4k4UAoFhKY0m43Ny4CiicRbFB/HNbJZHvbLGZhsNZBZGEBM7dGTNmDNLT02scM2rUKMyfP18gRZzGCI0rP4fDEQyVSmXrd23FaiEO/GMxbrUTB4CsrCzcunULAJvFnHfK2gt+zAalBWsBnIaEykJff5P4K7BNSn/WEjgNSDaRhQQPIhW7ASp31hIEQU+gHyIAuBGpZvWSu7GW4HQo9PAEgCJjGWsJgsCd8sRFlp5GxW6gyoe1BEFQEnHdURAJepbLxR+o91fSqKY3mGlYa0cqabRc49ydTz75BBUVNa+BBgbScPzj3B0ad3EOhyMY1mC1NVB9J7cHuBMTE23V2cHBwVCr1Th06JBgWq1ofCYIfsyGZIT6f6wlCIIUNOxBqZxnMQG713MEbNwAYKgilLUEQUghYjktkYj/twkABiLJQuVEKhsekPiwliAIBwhUV3nJXVlLEITO7uGsJQiCwWJmLUEQLpVnsZbAaUCKCFxrATpOEM1caQTJPOTid3JzIZJ0UWqh8ZxyvjyTtQQOY7p168ZaAqcJQOPKz+FwmGC1CLcGpZVKpe0hyWAwoHv37izl2Qgr7spagkN0jtjLWoIgWIgEduUSGrbTvibxL5hICATpAeAPs3PbPDQWTKCxCG8yi/+3CQBGIp+ngkgrA62ExudJIbjbUil+hxYAMBIJ7D5EJLnkEngAW0xEugaxliAIVCrqqbQBClKKv0dssYmGI5a3TPzzPYCO6w6Hw3EM0QSwLdyaisNxKiqVCqmpde8FZR1/e7/rzMxMnDt3zlkS7xlX84esJTiEkcjlr4eCRh/Pi0SqPHMJVHkajDSsv2JkNKoajkhLWEsQBA8ilQ3XjTSutR5SF9YSBEFOJMktikBrChOR5/oSi/itXgFgjzmbtQRBoLIeFaAQf4AMoBM8autOI2Eow1zOWoIglBHo9V1CJICtktFo6fSwKoK1BA6H0wSgsULF4XAcJj4+/q624MA/1da3c+vWrUZTZV0TR/RNe2ElUd6ZtQRB2GfMqX2QCCiz0LB7vaAQ/3lKTTQqH5Mst1hLEIRcg5a1BEGgYiFuNNPI+C8EjT6796k8WEsQhBICc4R0QyFrCYIgJ9K33Uyk0lxCJIkm10Ajma/QROPeWa6g0U9Ya6Jhx1xoFL/1fZmRRgA71FX8CYsAcMZAo+Uah8NxDB7A5nA4DYJOp0NCQsI9v98aAC8oKAAAqNVqFBQUoLCwEGVlZcjPd55F7fjnjjpt30Lgah7FWoIgyIhYa0stNBbArppoVD9yxIOBiMVZuVH81RsA4EqkskFKJKjiQsQqXUUg6EnlO5unpzEP8lXQSC7hiAsDkSS3IhONymQZkTkClfUSChQbaSTRUEnm43A4jsED2BwOp1FwewDcajeelZWFW7du2fpmO4sBq/o4df/O5s8WNLIzzTTWM6EiYt/bSib+jP88k/iz4AEgTV/AWoIgKKU0fpveCjfWEgShjEg1jouURt/HmxYaFTlnyzNYS3A6rVWBrCUIgq/cnbUEQaCS/FVspBEIDFZ6s5YgCJdLxX+tBQCFlEbwyI1IOxVPAtb3JQYagV0vOY3nMRMRlxYOh+MYolmJ45c8DqdpYq28zsn5xx46Pj4eGo0GQGUvbZ1Oh7w851nLaHwmOG3fQjBC/T/WEjgNCBX7Xm/QWDChgJTId7bCLH7rXoBOwJMKzk4CbCzIiVyHKFSqmIn0Er5S3rRbGNUVT7n4AyqUyNIXsZYgCK3cgllLEISrZVmsJQiCxIVG4oWRQMIQlTkClURb7hrA4XDqgmgC2BwOhw0ajQY5OTkIDLy3aglr5fWd/bXj4+Nt+09NTcXu3bsxZcoUnDt3zmHNYiNQSiM7M8dMI9u21EzDvjdbRuM8OeKBip2klkgVmQeRoIqCiHOAjIjtNIWFvhwiPXapEKygEThKMeWylsBpQDL1hawlCIInEdcdKlWeFObwISpf1hIEgUoAm1M3tFotli9fjr179yI9PR0qlQrNmzfHpEmTMGLECADAli1bbIVgd9KuXTts2bLFbtvq1auxf/9+XLt2DUVFRfDw8EDz5s0xduxYjBw5EjJZ1aTZY8eO4YsvvsDZs2cBAB06dMDLL7+M7t27240rLS3FqlWrcOHCBSQnJyMjIwMRERHYt2/fPf8bXLhwAbt27cLhw4dx8+ZN6PV6hIWFISYmBs888wy8vOwdHvfv34+kpCScOnUKGRkZcHFxsTs/ubzuz8hff/01Lly4gAsXLiA1NRVSqRQXLlyoduzkyZNx9Ojd25Q2b94ce/furfOxOZXQWNHgcDhOQ6fT3VPw+s7Ka5VKZbvp+fr6Vul5fecNsSGJL1zntH0LQTYRC3EqlcluEl79KBYkRAIqZiIVnlR6JlOxEDcSSUigsgBWQWRxmoITRE+3UNYSBOEkaFQ+dpD5sJYgCApX8SeXAMBVHY1APRXnAAr3FIDO5+kmE79VOpV5bahSzVqCIHhIaTxfO0J2djaeeuopFBQUYNSoUWjdujXKy8tx/fp1ZGRUbXfx/PPPIzIy0m6bj49PlXFnz55FcHAw+vbtC7VaDa1Wi19++QVvvvkmDh8+jE8++cRu/KFDh/D8888jKCgIL730EpRKJTZu3Iinn34ay5cvR+/evW1jCwoK8MUXX8DPzw9t27ZFYWGhw/8Oy5cvx++//46YmBiMHj0aEokEhw8fxpIlS7B9+3Zs2rQJfn5+tvHvvPMOXF1dMXDgQLRq1QolJSXYtWsX3nrrLezduxfLli2r8xrzwoUL4eXlhbZt26KsrKxKvOJ2nn/+eYwZM6bK9kOHDmHHjh145JFH6n/yHB7A5nA4bLiz8jo+Ph7x8fHo3r17jTcDZ8AtxJsGUiLBwHKLkbUEQVCAxkIfBbiFOKcpQsFmkRJRoLE4fYRAwpDWQuNa60pk0faSmUZF/WUilvAUXCAAwEumYi1BEK5V0LCEj3K5N7fApsb+/OorAsVEiBuNCmwdkefOFCJJUY7w+uuvo7S0FNu2bUNISEit43v37o0HHnig1nELFy6ssm3KlCmYPn06tm/fjri4ODRr1gwAYDKZ8N5770GpVOL777+3bR85ciSGDh2KOXPmYPfu3ZBKK+cIgYGB+OWXX2x6GyJoO2nSJMTHx0Ol+uf+PHHiRHz66adYtmwZVqxYgddff9322oIFC9CrVy+7IPXTTz+NyZMn4+DBg/j111/Rr1+/Oh173759iIiIAFBZYV1TzOKhhx6qdvuGDRsAAGPHjq3TMTn2iCaATaW/G4cjNlQqFaZMmQK1ujLD0N/f36n9rqujqVdgW4hUYJtpxMhgBI0qskcqxF9p/peExtyESgU2lYp6KoF6KovwVL63NyQ0KnIoOEH8rb/FWoIguBEJYGcaaATIOOJCS6TK001OI1CfbixmLUEQ7veOYC3B6VB5TiknkszXiYjrzr1y/PhxHD58GBqNBiEhITCZTNDpdHB3d6/xfaWlpVAoFFAq6z/XDA2t/EyKi4ttgeq//voL6enpGD16tG0bAHh6emLs2LH48ssvceLECZtzqlKprFOwvT5069at2u2PP/44li1bhkuXLtltf/DBB6uMlclkGDJkCI4fP45Lly7VOYBtDV7fK1evXsXx48fRvXt3tGrVyqF9UUU0AWwOh9M0uNM6PD4+HlOmTLG9rlKpBA9iv7kkR7BjOYPhkgDWEjicenNTQSCoQqOYnkwFNrhrgKiwgEbiBRXbTBqpX3S+txTQEXHc4XCaIlkVBawlCIKv0pO1BEEwmGlcb4vNetYSnA4Fm3SAjlX6Lan4+7YDQExMTI2vJyUlVbv94MGDACoDqLNmzcKBAwdgMBgQEBCAiRMn4rnnnqvSq3rmzJnQarUAYOv5PHXq1Lv2fC4qKoLJZEJRURF+++03/PDDDwgPD7cLtJ4+fRoA0KVLlyrvt247e/asU1t/3o3s7EoHHH//uhV2WcffbjfubDZv3gyAV187Ag9gczicBsEakK6N263DrcHs1NRUZGRkCG4dbsWieYXJcRsKi88+1hIEgUoP7LYK4SZSLLkA8T+UUal8pFKBTSUQGCKnsZh5SUfD7tWdSJVnCIicp8KHtQSno5LIah8kAs6WpbOWIAhtXINZSxCEYiONRXgqUHF49JTRmNuaiSR/UbgOZRtoJJcopTTCNTeJJJdEwOee3nf16lUAwFtvvYWwsDB88MEHAIB169Zh0aJFyMzMxP/93/8BqCwGe+yxx9C7d28EBAQgOzsb27Ztw4IFC3D8+HF89dVXNovv2xk1ahTS0yvnpBKJBL1798Z7770HheIfx0Rr0DcoKKjK+4ODK+d5WVlZ93SOjmA0GrF48WIAledRG1lZWdiwYQO8vb1rTSpoKPR6PbZu3Qpvb2889thjghxTjNC4InI4HKeTm1t77xKNRmMLdKtUKmRmZgKotBcxm6nUznA4HIBGFRmVvu3hSjVrCYJwlUiPrjw9DZtFF6n42xgAQI6BxudpkNHoiWgiUGueZqDRM9lb7sZagiDwSnNxEaz0Zi1BEEqMZawlCIKeyO+TSlKxt0L89xUDEQtxKlCpqL9bhXVtlJaWAgBcXV2RmJhoswR//PHHMXToUGzatAlTp05FZGQkHn/8cTz++ON273/yySfx2muvYdeuXfj5558xdOjQKsf45JNPbC6pSUlJKCoqQkmJ/Vy8vLwyOaY6S3IXFxe7MULy/vvv4/Tp03jqqafQq1evGseWlpbaqtO/+OIL+Pj4CKLxf//7HwoKCjB58mTbvxWn/vAANofDEQydTofAwEBb5TVQmQEldM/rO8nPWcP0+I5iiqJR2SCz0LDvvaBn+3sQiq7KQNYSnA6VbP80PY1M+HauDdvHicMWKlWe+Wbxu10AgBuROQKFhIQ2LuKfHwBAuIRG5WOKuZS1BEGgUU8PZOoLWUsQhPvcaMz5FETmQmEyD9YSBCHHLP4K7HKT+G3SASBaVbXSVYyUEun1fa+oVCoAwBNPPGEXPFYqlXjiiSewePFiHDlyBJGRkdW+XyKR4MUXX8SuXbtw4MCBagPYt/eWHjVqFP7v//4PkyZNwo4dOxAeHg6gMoAOVFYT30lFRYXdGKGIj4/Hxo0bMWzYMLzxxhs1ji0tLcWMGTNw4cIFvPPOOxg0aJDd64WFhTAY7L+Lvr6+VezZ7wVuH94wiCaATWWRuL7s3bsX33zzDS5fvgyFQoFu3brh3//+N6KiolhL4xDDWn0dERGBzMxMnDt3jrUk0SAj0peVioW4K5GqwBST+CusqFRgU+Ga/hZrCYJAZWHInUjGP5XqKrMrjQrsji7iD6oYCFSZA8ABXRprCYIgk9B4TqEClUpWKnP4PKOWtQRBMFhMrCUIAgXHi1ICNukA4EWkBdD50kzWEho1VnvugICAKq9ZtxUVFdW4D2sQuq4tO0eOHInvv/8eP/74I2bNmgXgH+twq5X47Vitw61aheCDDz7Ad999h+HDh2P+/Pk1Bpq1Wi2mT5+OkydPYs6cORg/fnyVMbNmzcLRo0fttiUlJSEsLMwhnWlpafjjjz/QuXNntGnTxqF9UUc0AWxOVTZt2oS3334bUVFR+M9//oOKigp8//33GD9+PNatW8d/PBxB0el0uHXrFgIDA23Ba6VSaesvdWe2k5D4Bj7N7NgNgUT9P9YSOA0IhQdPAOgtrzoJFxuZMnfWEgThLx2NuiMqltP+chpVKh5EFoaKzDrWEjgNyFWj+B0vDET6ISqI9Lc0W2gkJHDERVpF3Rb6mzpGIoFdL5mKtQRBKDOJ33WnmcqPtQRBSCbiykclIeFe6dy5M9atW2drv3k71sCxn1/Nv4mUlBQAgL+/f52Oaa2ovj0w3rFjRwDAyZMnMW7cOLvxp06dAgB06NChTvt3BIvFgrlz52Lt2rUYPXo05s2bV21fbyslJSWYNm0azpw5gw8++ABjxoypdtzs2bNRXGzvclVd0kB92bx5MywWC6++bgBoPDURpKioCPPnz0dwcDDWrVsHD4/KxcjHHnsMQ4cOxbx58/Dtt98yVslpylhtwHNychAYWL3V3+1W4Tk5OfDz80NCQoLttdTUVERERECn0+HIkSPV2pFwaseaBCB2qFRgU6EINBZMOJymBhVXoxwTDVtbKnOEQtAIeroQsHs1EPksORxO46WVSvyJtgCQbRS/IxYAeEhpuO6UScVvx3zLQOM721pFo51KhYs3awmNmpiYGHh5eWHbtm144YUXbLGd0tJSbN26FQqFAn369AEAFBQUQK1W273faDTi008/BQAMHDjQtr2srAwWiwXu7vYFFxaLxRYr6tKli217jx49EBoait27d+Pll19GSEilI5RWq8WmTZsQHh6Orl27NvDZ22OxWPDee+9hw4YNePLJJ/H+++/XuEZcUlKCZ555BufPn0d8fDxGjhx517Ht27dvcL0mkwlbt26Fh4dHld7knPrDA9giJSkpCVqtFlOnTrVd4ACgWbNmePTRR7F161ZkZmbaLjocTn3R6XRISEhAXFwcVCqVLUurujEAEBcXZ/dafHw8NBoNkpOT0bJlS6hUKnh4eNTZ1qQhaeo9sBHVjLUCTgMySEHj8ww0iT8h4Xep+LPgAcBMJEDmSWTxS04gQAYApWYaSXNUqquam2k4JEjkdaueaMocMt1kLUEQ8vXi72cOAJ5yGr2+OeLicnlVm1Qx0sqVRpCMChSs792ItAByJ+L8RcXh7F7x9PTEW2+9hdmzZ2PMmDEYM2YMJBIJfvjhB2RnZyMuLs4W13niiSfQrVs3REVFITAwENnZ2fjpp59w9epVDB061K7v840bNzBp0iQMHjwYLVu2hFqtRk5ODnbv3o3Lly+jb9++eOyxx2zjZTIZ3nvvPbzwwguIjY3F5MmToVAosGHDBuTl5WHZsmVVKqG///57W1VzSUkJpFIpvvrqKwCAl5cXJk2aVK9/i48//hgbNmxAy5Yt0bVrV2zfvt3udX9/fzz00EO2v6dMmYJz584hJiYGEokE27Ztsxvfpk0bREdH1+nYP/74IzIyMgAA6enpsFgstnMBgJkzZ1Z5z8GDB5GdnY3x48fDzc2tzufJqR7RBLDFakwVExNT4+tJSUnVbj99+jQA+4wZK126dMHWrVtx9uxZHsDmNAjx8fEYPHhwjWMKCgpw+fJldO/evcprN2+yXajqqFrE9PiO0gnxrCUIQk8ZjUz4Q8Yc1hIE4UlJEGsJTudvIj2TqUAl4OlKZCGhhIhlXaiLuvZBIiBbSiNQf0B3g7UEpyMDjZ7JkUQCRyYiFuLpJhpzhCClF2sJgmAg8r09WZzCWoIgdPWKZC1BEMIV4q9mpRCkp4SLRDRhKacxcuRIqNVqLF++HIsXL4bZbEZUVBQ+/fRTDB061DbuiSeewNGjR3H48GFotVq4urqiTZs2iI+Px6hRo+yqlYOCgjBy5EgcP37cVgDp6emJqKgozJ07F2PGjKkSkO7Xrx9WrlyJxYsX4/PPPwdQWbm8atUq9OzZs4rulStXIj3dvtXcokWVa++hoaH1DmBbW5GmpKRg9uzZVV7v2bOnXQDbOj4pKana2NlLL71U5wD2Dz/8UKVHtvVcgOoD2Bs3bgSAKpbrnHuDXylESnZ2ZcZocHBwldes26z9EjichuRO23ArdyZLqNVqJCcnIy+PfW+Xm14nWEtwiBFqGtVyJ0w0epFR6YFN4dmTiu29lMh55uiLah8kAqhUYLvKaPTAztQXspYgDK6+rBUIgoTAzVMmoRHA9iLi6kGFdIi/Pz0AZBNxDqDiXuLnQiMhIV1P4/dZQKA62Y1Ioi2Vay2V5zFH6devH/r161fjmOqCunfD19cX77zzTr119OrVC7169arT2P3799d7/zXx3Xff1Wv8pUuXmB0bAJYuXdpgx+fwAHaj524V1rVRXl5ZVaJUVr0ZWLdZg4wcTkMglUoRFxeHnJwcJCYmArC3DY+Pr6wS1mg0yMzMBFCZTNG2bVscOnRIeMG3EVbs3F4dzqZrxD7WEgSBSjCQCmky8Vc2yEw0FuGpWIhTCezqTDSs730U7rUPEgFSM417p7+Fxu8zykX8bjRXuXuJqFAQqajniIu+7i1ZSxCEHDMNN5o8YylrCYJghvifyag8dwYrxV9NDwBFJhrXIA6H4xg8gC1SXF0re03p9VWtrKzbVCqVoJo44qZt27a2nthWVCoV4uLimAeoa6PpV2DTWJymQmeF+BenASDQzBc0xQKVCux2rjTarpRaDKwlCAKFSlYAKJfQsLXVSmgsaJ4uTa99UBPHi0jP5FOlaawlCAKVHthUgg25hhLWEgThSDmN3yeVuVC4kkY7lSyD+Kt2Q5SerCUIApXnMW4JT5vS0lKUlZXVOi4ggMYaKefuiCaAbSGQaVYfgoIqe4tmZWWhVatWdq9ZrcOrsxfncBxFpVLZ9blWKBRQKBQwGBrvBCy+cB1rCQ5hauHHWoIgUJncXjYWspYgCPdLxN/7kUIWPEAnE/4akapAvZlGGwMqFdhU+s9Sud72dItgLcHpNJOI3wIVAH6VZLKWIAiuROxe0ytoWBSHutAIBAbLaMwRLunZt3MTAiqtKeRS8bvRaM00EjODiFyDWhJpY8CpnpUrV+LLL7+sdVxD2oFzmiaiCWBz7OnYsSPWr1+PkydP2jWxB4BTp04BADp06MBAGUesJCcnY8iQITCbzfD1rexDqNVqq3UBaGwsln7CWoJD7DJ9xVqCILwlE39GMQCUmxtvskdDEkwg6GkGjcARFbxlNKrIZHIai3wlJhqtdFyIBI/Ef0epREHA8cJA5NM0EZkjULnWUiFTX8hagiCEutKo8rxfKf6EYgDIt/DrkFjIJ2IHHyGncQ06rc9hLYHDkJEjR6Jbt26sZXCaADyALVIGDhyIefPmYdOmTZgyZQo8PDwAABkZGdi9ezd69uyJkBAaVpichkWj0UCn0yEnx36iYa3oV6v/ycpu7NbhVpq6hfjPnjTaAcgkWtYSBIFKr++1cvEnJEiNNAKBVKDSo0trpLHI50fEglBBpOooG40/YbIhOKETf9WuQiL+CjIAkBL5bXKnPHFBxXJ6X+EF1hIEwUPhxlqCILR3a8ZagiCUmSpYS3A6JYba7YbFwAki905XqZK1BA5DwsPDER4ezloGpwnAA9gixdvbG6+//jree+89TJgwAU8++ST0ej2+//57AMBbb73FWCGnqaLT6ar0utZoNE0ycG3lvsLdrCU4RKvmrBUIg9xCY6EvkIhdVH+Iv1fgKSWNB7Jj5eLvyQoALZS+rCUIgpnG1xZyIovwBiJVni0tNGynlaow1hKczu+6m6wlCIPFxFqBIHgRcS8pAo2gSoCCRvJXe1de7CEmqPQT7u4q/jnCBVkuawmC0ExOw1r7PimNewqHw3EMHsAWMePHj4ePjw9WrFiBTz75BAqFAt27d8err76K6Oho1vI4IkGlUiE1NRWJiYm26uz27dvbAtpNIZhdLn2TtQSHMFj+j7UETgOST6TKs5lZ/AHs1ZYs1hIEIVxJox9ijomGZV0IEcu6m4Yi1hIEwY2IhbhKSiMhoRDiX4Sn0rf9EVcaGag3zDTunWYljWq5LD2Ne2cYkeCRiojjBZWkxVyz+NcRVBIa89oAKQ2XxSIYWUvgcDhNANEEsM1E7DXqy5AhQzBkyBDWMjgiJj4+HhqNBnFxcTh16hQ6d+6My5cvw0Kgv21joY3Sj7UEQbhpLGEtQRC6yIl8nmbxLyR0k9Ko3jhcTqNazkNGYyEhj0hvORkR+16dmcbCkFL8txQAgKdUNI/vd6WbayhrCYKQSaQnq5RK4Egv/tY4AJ17JxVyCAQ8AcCdSNDTBeJPSDASScwssdCYv9800rh3cjgcxxD/EzCHw3E68fHxAIDY2FibvXhCQgKASnvxkydPoqKiAiUljTMAef/TD7KW4BDppo9ZSxAEKr2h/zRks5YgCF5S8du9hoCGHbyUyG9TT2Qhocws/v55AOBOJCGBSrAhQ0ajajfF1Djn0g2JH5GqoyyjlrUEQQiQ05gLccSFgsi9M8dA4zrkzvvsioZCI412DUql+JMRAEAl4WEpDodTO/xKweFwGoyIiAjExcUhJyfHZicOAH5+fjaLcWswW6FQID8/n7HiSvZuXcxagkOMoOHeyxEZIyD+SvOV+jTWEjgNiDeRPp46IoF6KgsmVM7TzUIjkcabQPLX3/pbrCUIgpRIgCxVX8BaAodTb46W0ZjDKwm4egBAa4UvawmCcLj0OmsJTsdHQSMp6lI5jVZkVK5BHA7HMfiVgsPhNBjWSmyNRmPri239e8qUKVCr1QgODoZarUZBQQGkUiny8vJYSgYAuOnfYi3BIUyWfqwlCAIVC0IqLTH+khGwzjSxFiAMZiItI1yJWNaBRiErgmU0FsAqiHygHSpoXIcuuYi/IidCSSMzs8hEYB4EGo47AHCLSIVnrkH8LhAAHfcSf7kHawmCoCfyUEYhuFtu0rOWIAj+Si/WEgQhp6KItQQOh9MEEE0Am/fb5XAaD7f3xS4oKIBarca5c+dYy7orvrqfWUtwiGEtm3YFeV3JMNGwOOulCGItQRB0BIIqoxThrCUIQqLpCmsJgmC0iP87CwAeRIINuUT6PlJJ/jpGw3UaNwziX+jzlNG4BlFxu3AFjeSvLL34f5sAncCu0UIj4OlCpPrRQGQOX6AXf4JJO/cw1hIE4X4pjQD2DkMpawmNHq1WizVr1mD37t24efMmlEolwsLCMHr0aIwbNw4KReU869q1a9i0aROSk5ORnJyMwsJCjBkzBvPmzauyz4qKCmzfvh0HDx7ExYsXkZOTA7VajaioKDz77LPo1auX3fjs7Gxs27YNv/32G1JSUlBUVISQkBB07doVzz//PJo3b243/ubNm4iJibnrOZ04cQLu7vVLuLlx4wa++OILnD9/Hrm5udDr9QgODkaPHj0wffp0tGjRosb3JycnY8yYMTAajfj4448xYsSIOh33woUL2LVrFw4fPoybN29Cr9cjLCwMMTExeOaZZ+DlVfW3evHiRSxbtgynT59Gbm4u/Pz80K5dOzz77LPo2rVrvc6bUwmN2QqHw3EKVpvwQ4cOsZZCmhtGvmAiJgxEKrA7mcRfqfK18TprCZwGJItA4AgA3IgEsIuI9NBzlYn/WgsA2TIaVWRdFP6sJTidQ7qbrCUIglwq/mp6AMgyFLOWwGlALESeUyREkr/KzDSqWak4B/i7eLOW4HTS9YWsJQjCLRmN5xQKrgGOYDQa8fTTT+PChQsYOXIkYmNjodfrsXfvXsydOxcnT57EggULAACnTp3CypUrERYWhvbt2+O33367635v3ryJt99+G126dMHIkSMRHByMrKwsrF+/Hk8//TT+85//YPr06bbx+/fvx+eff46+fftiypQp8PLywqVLl7Bx40bs3LkTK1euRI8ePaocZ9CgQRg0aFCV7S4u9V9vyMrKQnZ2NgYOHIigoCAolUqkpKRgy5Yt+Omnn7Bu3TpER0dX+16j0Yi33noLSqUSRmP9EkiXL1+O33//HTExMRg9ejQkEgkOHz6MJUuWYPv27di0aRP8/P5pj3jmzBnExsbCx8cH48aNQ3BwMDIyMrBx40bExsZi+fLl6NOnT73Pnzo8gM3hcO4JlUqF1NRUREREoG/fvgBgq7a20lQC22d0r7CW4BCxoFGxS4VS0KjIuUBg3VZmopF0EU7E7tVEZNFWKSHw4wRgIuACAQB6M417Sh8DjRLskwrxf56tXcQfpAcADyL96SuIVD7+ZaTRMzlYKf4AGQC4Smg4B7SQebKWIAhlZgNrCYJAwTmg1FTBWoIgtHTxq32QCCgl8tu8V44ePYpz587hmWeewezZs23bY2Nj8a9//Qu7du3CnDlz4OHhgQEDBuDo0aPw9vautQLa19cXW7ZsQbt27ey2jxs3Dk888QQWLVqEcePGwdu78p7fvXt37N+/H4GBgXbj+/fvj2effRYfffQRNm/eXOU4bdq0qXOlc2088MADeOCBB6psf+yxxzB27FisWbPG1tb0TlauXInr169j+vTpWLRoUb2OO2nSJMTHx0Ol+udZc+LEifj000+xbNkyrFixAq+//rrttW+//RZ6vR4rVqxAVFSUbfvAgQMxevRobNy4kQew7wEaT00cDqdBsVZe37p1CxkZGTbLkvz8fMbK7g2/FYWsJTjELHMn1hIEYZmcfb90IfAhYrV43JDLWoLT6aykkVzyZzmNRVsVkR7Y5USqcbzkbqwlCIKRSN/HT01XWUsQBHeIP1DfVkFj0faKoYC1BEFoR+Tz9FXQcIGIlPuwliAIR4jMbTMkNNyFqLRT8SNwHaLSPrTIpGMtQRCoJE7fKyUlle4RdwaOZTIZ/P39ceXKFSiVlW5btxeT1YZara52fGBgIHr06IF9+/YhJSUFnTt3BgDcd9991e6nT58+8Pb2xqVLl+56LL1eD4PBUG/L8LoSGhoK4J9/qztJSUnBl19+if/+97/3pKFbt27Vbn/88cexbNmyKueu1Va2vrzzMwsKqlwbdHV1rbcGDg9gczice0Cn0yEhIcH2tzWgnZOTg4iICJw8eRJ5eU0n2HjrWR/WEhzCWH2SmegwEangcAONqt1yi/izbU/ps1lLEIQnVa1YSxCEg+amc19zhFAJjeoqFZHqxwIpjQWwUiKJF09JmrGW4HSW6lJYSxCEQoOWtQRBoGJRTKUtxR9GGv1KlUR6Q6uJJPNl63krA7GQq6eRdBGq9GEtQRCo9KevqRoaAJKSkqrd3rVrV7i5ueHrr79GUFAQOnfujIqKCvz888/47bff8PLLL9sC2A1FdnblGtbttth3o6SkBGVlZQgICKj29VWrVmHx4sWwWCzw9fXF4MGD8corr8DX1/ee9en1emi1WhgMBqSmpuLLL78EUFkNficWiwVvvfUWoqOjERsbix9//PGej3sn1n8nf39756g+ffrgwIEDeO211/Dyyy/bLMQXLVoEb29vPPPMMw2mgRKimZXRuORxOI0Ta0Bbo9Hg8OHDtiytI0eOwGKxwGw2w2RqvBVAvoFPs5bgEMn+p1hLEAQqdsx5EH9gFwBkBAL1HZTVT+TFxibdNdYSBEFJJOBZIaXRM1kuEf81CKATqG8mp2GDekQi/oSEQIkXawmCQCXgSQUqPZP5eYoLb6n4XT0AQKakMee7oRN/sm1Pz0jWEgSBirX23+VZrCUIQkvcW8A2ICAAX331FebMmYO4uDjbdhcXF8ybNw//+te/GkoigMpe12fOnEHPnj0RHh5e6/jFixfDYDBg9OjRdtulUil69uyJmJgYhIWFQavV4vfff8eGDRvw22+/YePGjXUKkFfHzp07odFobH/7+/vj9ddfx5gxY6qMXbt2Lc6cOYMffvgBUmnD3QeMRiMWL14MABg1apTdaxMmTEB2dja+//57jBs3zrY9KioKGzduRIsWLRpMByVorGhwOBxBiI+PR2xsrC2YHRUVBbVajYKCAmRlZcFsrkw10Wq10OsbTzZ+fOE61hIcol1EW9YSBOF3KQ27qCtGGlnFhQQqOExKGn08zUSs3HwVzrG9amxQcbswEOgTCADFFhq9AnUW8feGBoAsAr9PLRHbzKfc72ctQRCuoJy1BEE4akxlLUEQgpQ0EkwqiMwRLulouEXJidgUR6oCax/UxLlSIf42ZAAQQCQxM9othLUEQfgp6ad7fq+HhwdatmyJnj174qGHHoJOp8PWrVvxzjvvQCKRVAke3ytXrlzB7Nmz4e3tjQ8//LDW8du3b8eqVavQsWNHPPfcc3avNWvWDN99953dtpEjR6Jr166YM2cOFi1ahLlz596Tzj59+mDVqlUoLy/H33//jV27dqGkpARGoxFy+T9hzoyMDCxcuBDPPPMM2rRpc0/Huhvvv/8+Tp8+jaeeegq9evWye00qlSIoKAjR0dEYOHAgWrRogevXr2PFihWYNm0a1qxZY7M959QdHsDmcDgNirXPg06nw+rVqwHALjvqzoB2Y+ibvRJ17xXSGPmESIa4GTSCZFRsUD3l4u/9clafw1qCIIQrm/Y1tK5cr7jFWoIgSCU07ilUemBTSUigUs2qkipYS3A6LZT3bivYlNiso9G3nYoVs4XIc0oWEfvetqpg1hIEQUHAEQsA8gkkTgNAsVn8CWD5+ur73IoNHxmN55Ru0nurwqXCxYsXMXHiRDz99NP4z3/+Y9s+fPhwTJgwAXPnzkX//v0dsuQGgGvXrmHKlCkwm81YsWJFrdXXe/bssRWtLVu2rM425hMmTMDixYvxyy+/3LPWwMBAW9whJiYGQ4cOxYgRI5Cfn28XFH/33Xfh7++PF198sdZ95ufnV3GNvZstenx8PDZu3Ihhw4bhjTfeqPL6woULsWrVKmzduhVRUVG27X369MHo0aPx8ccfY9GiRXU6V84/0Hia4HA4DYJKpUJqaqrtZnG3MXFxccjJ+SdwEx9f2aS5e/fuTtd4LzyDAtYSHEJuofGALSUSqKdynh4y8VvWtZDRyJw+XH6TtQRBoBA4AgAFkWBDewUNh4QrxkLWEgTBX07DIeE+qfirH9MsNJIRykw03BGo3DupWE5TOc+revFbMVPCVUajPY4XAUv4MBWN+TuNlCjgdwMNF4h7Zc2aNdDr9RgyZIjddqlUikcffRSnTp3CmTNnqu3/XFeuXLmCKVOmoKKiwlZRXRM//fQT/vvf/6JVq1ZYvXp1vYPnoaGhOH/+/D3rvZPw8HD06NEDW7ZswTvvvAOFQoF9+/bh0KFDmDt3LrKy/rGpv3Xrlu2/N27cQGBgIFxdXTFmzBikp6fb7ffSpUtVjvXBBx/gu+++w/DhwzF//nzIZPbuHgaDAatXr0ZkZKRd8BoA2rRpg8jISBw5cqShTp0UolmhopLxyuGwJD4+3q7vxt3GAMCUKVMQFxeH5ORkmM1mFBfdEpaIAAEAAElEQVQXQ6FQwGBofL1cmnoF9kIa6whkKrBdiSz0tZSJfxH+eEUmawmcBkRPxKLYR0oj4/9kBY2ea1TsmAMU4r+nAEC6RPzBXRciFYGRruK3egWAQiLuCFSgsu7WUkmjKtBE5POk4kZDYR0hx1DMWoIgqBXid6sDgBAZjQTUe8VaGGZtx3k7RqPR7r/3wuXLlzFlyhSYTCasXr0a7dq1q3H8jh07MHv2bERHR2PlypXw8fGp1/HMZjNSU1Ph79+wiSg6nQ4GgwFlZWXw9va2BaPffffdasd/9NFH+Oijj7B8+XI8/PDD+OSTT1BRcffEUovFgrlz52Lt2rUYPXo05s2bV21P7YKCAhgMhirV3FaMRuNdX+PUjGgC2BwOp3EREhICnU4HPz8/JCYmYsqUKTh37hxrWdVSLn2TtQSHkFpWspYgCFQqk6lYiFNYnqbynaUClcWvW0YtawmCYDDTeHikUi3nTcDVA6DxeV4iUvk4yKVme0axkE8gYREADhpTWEsQBArXIAAoNtNwSKAyt6XSysBEYB3Bk8h8j0rrKpmKwqrQvdO6dWv89ttv2LJli11ltMFgwM6dOyGTydChQ4d72vfFixcxZcoUAJWV3tHR0TWO37ZtG9544w20b98eK1asgJfX3ed3BQUFUKurFootX74c+fn5mDx5cr315ubmVmvrffbsWZw4cQItW7aEt7c3AGDAgAEIDq7qVHr06FEkJiZi8uTJ6N69O+6//34AQLdu3e56XIvFgvfeew8bNmzAk08+iffffx+Su7Rc8/f3h1qtRkpKCk6dOoXOnTvbXjt58iSuX7+O3r171+e0Of8fGndxDofToCQnJ9tVYt9uF27FWomt0WgwZcoUqNVq9O3b11aRDaBR9L8GgJteJ1hLcIi3/WkswstMNCa3MgmN89RB/AsmVKyYqVQmy0ikXdAJ7FKxtaXy+8wj0t8ySO7BWoLToZL8tVlb1ZpQjHRxD2MtgdOASO+yaCs2UnU0gkdU8FPSaOt0qVj8bZ1aeYawliAIVK61Z0vTWEto1Dz99NPYtm0b1q1bh6ysLPTt2xfl5eXYvn07Ll26hKlTpyIoKAgAUFJSgu+++872/0Dl2v1XX30FAIiOjsYjjzwCAMjIyMDTTz+NwsJCzJgxA5cuXapimf3QQw/ZKqX379+PN954AyqVCiNHjsSBAweqaB0xYoTt/9955x0UFxejS5cuaNasGbRaLf744w/89ttvaN26NV566aV6/1vMmTMHOTk56NWrF0JDQ6HX63Hx4kXs3LkTEokE7733nm1s8+bN0bx58yr7KCurdAXq0KFDFVv2u/Hxxx9jw4YNaNmyJbp27Yrt27fbve7v74+HHnoIQKW1+6xZszB37lxMnToV48ePR4sWLXD9+nWsX78eCoUCr7zySr3PncMD2BwO5x4wm81ISEiw/V2TrXh8fDw0Gg10ukoLy+DgYKjVapw+fdrpOuvKv11eZS3BIQZWTGEtQRDOymlYnFHh15IrrCU4nQAXH9YSBMFsofHbDFZ4s5YgCNlErPmo4E6kUoVKoP5CufhbU0SqaFhrBypoBFT8JC6sJQiCr0L8ySUAUETEEr4FkT67+USSv/L0NOa2FIK7VJLcqDx3BqmasZbQqGnWrBk2b96Mr776Cn/88QcOHToEhUKB++67Dx988AHGjBljG1tUVIRFixbZvf/8+fO2ftOjRo2yBbDT0tJQWFgIAPj666+rPfa3335rC2CfP38eZrMZZWVlmDt3brXjbw9g9+/fH9u3b8cPP/yAwsJCyOVyREREYNasWZg6dSrc3etvHT906FBs374dO3bsQH5+PiwWC0JCQjBixAhMnToVkZGR9d5nXbA6yaakpGD27NlVXu/Zs6ctgA0AsbGxCAoKwnfffYfNmzejtLQUPj4+6Nu3L2bOnFlrpTunekQTwKbSG5XDaYpYq7Fvx2pVkpWVBbPZzLQa+9zjja8vd314dB+N6x+VhxUqyIlUJ1MgXFnVHkqMpOkLWEsQBCouEHKpjLUEQSgl0gPbU0ajV+D9ruJfnE43FLGWIAi+chp9H49XZLGWIAjFxnLWEgSByhyhwEQjUN/KhUav78sEnL8A4EpxBmsJTsfHhca985aERtJFARF3BEcICwvDhx9+WKdxd1ZR340HHnigzmMBYNasWZg1a1adx48ZM8YuuN4QPP7443j88ccd2sfo0aMxevToer3HWtVeHwYOHIiBAwfW+32cu8NXjzkcDhNWr14NjUYDg8GAxMREaDQa7Nu3j4mWvVsXMzluQ7GHRsI/T1QSGb3dW7CW4HSSifTxTDcUspYgCHozjQrPMiIBT28FjQUwKpSYaASPygn0t1RIaCSXXCnPZi1BEKhUJnPERU5FIWsJgkDlPC1E3KJc5UrWEpyOvwuNymQqyUL5ei1rCRwOpwnAA9gcDocZVnvxuLg4HDp0yLbd19dX0IrswaNeFOxYzuC1fdNYS+Bw6s2RslTWEpyOl9yNtQROAxKkpLFgIgGN8ywhEqinsgCm5Z8np4lxvxsN28ws3paC0wRxI9J+o4hI8MhFpmAtQRDcleJ3o8mroOHScp+b+B13AADiz7ng1EBpaamtL3VNBAQECKCG05jhAWwOh9Pg3N7z2srtAeraENpOPGXVE4Ier6GpiAhmLUEQTBYa1l8Gi4m1BEHo59aCtQSnYyDiGnC0/CZrCYJwv8KXtQRB0BGxWUxBIWsJgkClmpWKS4sXgaBKJzmN3rMnDLmsJQhCBJE2I2eJ9Ia2ELnWhrrQ+N42c/FhLUEQdERclHwJJE/nEenb3lzuxVqCIOgt3KWFMitXrsSXX35Z67j62J1zxAkPYHM4nAZBo9Hg5MmTMJvNMBgMKCkpYS2pzlxZ0rRvhvOVNALYMhONqiNPqQtrCYJw1ST+ipwIGY2eTr1cw1hLEIRcSwVrCZwGxJ9I/9kCItbaciKBeqVE/I/v18w0KgI9pDTKjsrNBtYSBEECCWsJgkDlWptDxDnAlch1qNREYw5PIWlRSuRam2pqOuupjkDF3p9TPSNHjkS3bt1Yy+A0AUTzBMwvehwOW3Q6Hdq2bYuEhIQqr1krsgsKCqBWV2Yz16ci29mEvriGtQSHeH3BKtYSBIHKdb7MQmOhr5s8kLUEp3NUn8VagiB0VNKwdKISCFQRCJABIFJnTid4RAU5AQtxfyKJfOf1eawlCIKfTPwVgQCdNiN5BiJBFSKV5lScv9xlNO4r54pusJbgdCI8xL+GAABFRFw9VFIa9v6c6gkPD0d4eDhrGZwmAI0VKg6H41RUKhVSU1MRGGg/mbQGrk+dOoXOnTsjKysLGRkZgluE14Zk74OsJTgIjQA2FagE6ikEd81EbO+poJaJv68cALhA/AEyAMgy0bAglEhoVKpIadw6cVNfwFqC06mQ07B6pVApB9BJirqqp2EJ35FI7/arFbdYSxAEE5F0vkxd41p/chY91K1ZS3A6aRU0PstwFxqtq6i4l3A4HMeg8TTB4XCcSnx8POLi4qps1+l0SEhIQGxsrF1lttVuPC+vcVQepI1ZzFqCQ+zxoPHgeUBBI6jSRUkjq3iP9m/WEpxOIJFqHCoUmXSsJQhCqVnPWoIgeBCpxpFaaCwMZemLWEsQBBmBCuwiCQ23i3CFD2sJgnBdTyPYQIXz5eJPQAXoVOwazDQqsF1kNKzSjxVcYS3B6UR706jWzCfS6/uWnka7Bg6H4xg8gM3hcBoEaxV2dURERCAuLg4FBQXIysqy9cluLAwe9SJrCQ4x6uAM1hKEgUh11TkDjYz/EBc1awlOh4otHxWoVKm4ErFyUxCpNK8gUtlAIbALAEopf3wXC6fLbrKWIAjechoW4hxxkVZGo6LeXUHDXchE5JmsRC/+BLC0chq/zXBXGi26pETcaDgcjmOI5gnYTCWyweE0UuLj4zFkyBC7SuycnBzba0Bl5bXBYEBiYiI0Gg0OHz6MkhL2fbR+2+DDWoJDvNpsNGsJgmA20bjOK4lM4kvMFawlOB0qtplUaCMXf9IFAKhA4xqUbCpkLUEQohVULAhpECT3YC3B6aTwil1RQSW5hCMuPBQ0Ei+6uIexliAIBURclHwVnqwlOB1esSsugl18WEvgcDhNAL6yyuFw6oVKpUJFRfWBJ7PZbGcVfqeteHx8PDQaja0auzEErwGgTDmPtQSH6Kc7yVqCIJynURSI5nIv1hIE4YpB/H08dRYafTypYCCSLHndRMOK2USkR32OWfzVOACdHvVBEhVrCU4nhbUAgfBX0pjvmYlcaznigorbRaZRy1qCINwyNI51J2eTpxP/HN5NTsPe30jENaDMJP6iBg6H4zg0ZmUcDqfBiI+Px+DBg6t9LSCgqs2NRqOBTqdDSkoKbt5snFZ58YXrWEtwCI9W97OWIAxE1r9STTQesKUS8dfLUek9S4UbRhoZ/xICv00A6CX3Zy1BEApAI5Fmj1b8fR8B4AKB32dXNxr9LVMIJPIBvJ0Kp2mikNJwo6ES2KWStBjpEcJagtPJ0NFot9ZeScNCPMtUxlpCo+eLL77Al19+WeOYX3/9FUFBQVW2Z2dnY+jQoSgpKcErr7yCmTNn1rifxMREzJ07FwBw8OBBBAcH2167fv06duzYgd9//x1paWkoLS1Fs2bN0Lt3b8yYMQOBgYF2+zp69Cj27NmDY8eOISMjA0Ble9EnnngCEyZMgEpV/6TcM2fO4JtvvsHFixeRl5cHs9mMkJAQPPzww3jmmWeq/TcoKCjAZ599hqSkJBQWFiI0NBRjxozB1KlTIZfXLSx64cIF7Nq1C4cPH8bNmzeh1+sRFhaGmJgYPPPMM/Dysk9K3bJlCzQaTbX7ateuHbZs2VLvc6cOD2BzOJwG484blrUvttUy3MfHB+fOnQMAKJVKGAwGWCzsK9oOTP2NtQSHeFU/nbUEQfgfkTtWubnx9Id3JhQWTPq4NWctgdOANJOJ37oXAHSgEWzIhp61BEHINtOwzWyhopGQECn3Zi3B6VBxDaBCM4X4v7MAcNVEoy8rR1wEKGg4QVBp0VVqFv/cVimlYct3tiKHtQRB8CPQGsdRBg0ahIiIiCrbMzIy8Nlnn6Fdu3bVBm4BYM6cOTCZ6vZsn5GRgQULFsDNzQ1lZVUTCzZv3ozExEQMGDAAjz32GFQqFU6dOoW1a9di+/btWLduHVq1amUbv2DBAmRkZGDQoEGYOHEiDAYDkpKSMH/+fOzYsQPr1q2Di0v9HBWuX7+O0tJSDB06FAEBAZBKpbh06RI2bNiAnTt3YsuWLXb/FlqtFpMmTUJKSgomTpyINm3a4NixY1iwYAGuXbtma3daG8uXL8fvv/+OmJgYjB49GhKJBIcPH8aSJUuwfft2bNq0CX5+flXe9/zzzyMyMtJum4+PT73OmVOJaMIBFiK2jhxOU8BadQ0At27dwuDBg5Gfb9/PTq9vPJPrAav6sJbgEObwtqwlcBoQVyIPZX3dWrCW4HRO6bNZSxCETsrA2geJAK2FRnKJh4TGNSjNVMpagiAUEwlgtyLSo/6X0musJTid3u4tWEsQhMtGGovTFUQSMzniIkAu/l7CAHCxNJ21BEHwUdIIkhnM4k9C1RO5p9ynrBoMEyMlRJ6vHSE6OhrR0dFVtn/22WcAgHHjxlX7vl27duHgwYP473//i/nz59d6nHfffReRkZGIjIzE9u3bq7z+6KOPYsaMGXbVxk8++SQ6d+6Md999F59//jkWLVpke+21115Dt27d7KqcJ0+ejNdeew07d+7E5s2bERsbW6uu2xk+fDiGDx9eZXuPHj0QFxeHTZs24aWXXrJtX7FiBa5cuYI33ngDU6dOBQCMHTsWnp6e+P777zF69Gj06NGj1uNOmjQJ8fHxdlXjEydOxKeffoply5ZhxYoVeP3116u8r3fv3njggQfqdY6c6hFNAJvD4bDh9mB1cnIyBg8ebNfb2mBo/BOS5xpRMP1eeFNJo1LFYqKRqNRNTuNh5Rd9BmsJTkcC8Vu9UiJaSmMxs4RIBXYOaNw7Q4kswl820LCU7E7AXvuSnsZnqSPS95FKL2EqUCkcoVDJCgDhrjRsiqkk0ngp3VhLcDqlZTTm7x1BI+lioz6FtYQmiclkwpYtW+Dm5oZhw4ZVeT0/Px8ffPABnnrqKdx/f+0tJ3/88Uf88ccf2Lx5M7799ttqx3To0KHa7UOHDsW7776LS5cu2W2/W+D28ccfx86dO6uMd4SwsDAAsItFAMC2bdvg6uqKCRMm2G2fOnUqvv/+e/z44491CmB369at2u2PP/44li1bVuO5lJaWQqFQQKlU1noczt3hTxMcDuee0Wg0dhbhbdtWVgIfOnSIsbL6Mf65o6wlOAQVC/FlchrVckVE+pU2V/iwluB0bhgKWUvgNCBUArtFRDLhA6SurCUIgoJAz2RKXNLnsZbgdPq7hLGWIAi/EQkEUgkcUUEmkbKWIAi5+mLWEgShmQsN95IQJY1kvuPa66wlOJ2OHlWtlMXIz8ZM1hI4DUhMTEyNryclJdVrf7/++iuys7Pxr3/9Cx4eVZMd5s2bB1dXV7z88ss4e/ZsjfvKy8tDfHw8nn766ToFu+8kO7vSddDfv27tnOo7vjrKy8tRXl6OiooKXLlyBQsXLgQA9O/f3zYmLy8P6enp6NKlS5V+22FhYQgICMCZM2fuWQNQ+7nMnDkTWq0WANC8eXOMHTu2Xr23Of/A/8U4HM49o9PpEBERgbi4OBQUFECtVqOgoAB9+/ZFcnIyKioqqmRANUbWL+vJWoJDTIlqxlqCIFCpZnUBjYWhDGPjvzY4Sndl9b2IxIYeZtYSBCHLQiPjv4RIsIFKP0QiMTIyVYHBBPqV0kgVAlwkNJZiuqhotBk5rafRA7vIWLUvphhpobr3hfWmRImZhhPENSLOHhTII9ICqLXCl7UEQTisE39iJgD4QlX7oHqwceNGAJUW3ndy8OBB7Ny5E8uXL4ebW+2uDHPnzoWHhwdefvnle9JitQ0fPXp0rWO1Wi2++eYbKBQKPPHEE/d0PAD45ptv8OWXX9r+DgsLw0cffYQHH3zQti0rKwsAEBwcXO0+goODkZqaes8ajEYjFi9eDAAYNWqU3WsqlQqPPfYYevfujYCAAGRnZ2Pbtm1YsGABjh8/jq+++gpSKY1134aCxlMTh8NxGvHx8XZ/Wy3Fg4ODoVarm1w1NofDmmMGGj0RFQQC9X8R6YHdUUnDfjDHSGPBREEksGsiknjhI3VhLUEQ5ES+tzf1BawlOJ2HiFQE+svEb/UK0JjvAUC+QctagiBQqcBOraAR8PSU03Cj0ZtpOJxFu4eyluB05ESuQVcM+awlCEI4kWSh+lZY10ROTg4OHjyIqKgodOrUye41rVaLd999F8OGDcPDDz9c67727duHPXv2YMWKFXB1rf/9YOnSpdizZw8GDhxYJYh7J0ajEXFxcUhPT4dGo0HLli3rfTwrI0eORLdu3aDVanH+/Hns378fhYWFdmOsrU7vZt3t4uKC8vJ7L1B4//33cfr0aTz11FPo1auX3WuPP/44Hn/8cbttTz75JF577TXs2rULP//8M4YOHXrPx6aIaALYZguNrHsOp7FzZ0AbqAxq79u3j4GautFRtYi1BId4TPZl7YNEQKaJxsKQC5FF+DZy8S9QH6ugYf11uPwmawmC0MqFxgO2G5GqwJPl6awlCIJR6c1agiAUGogkmEjFP0dws9Bw3Cmx0Oixm2+hcU/xVdDoV6oi0tM8o6KQtQROA1Kop7GO0M61+kpDMUEloXi4Ipy1BEE4CfG78jU0W7Zsgclkwrhx46q89vHHH0On0+HNN9+sdT/FxcV4//338cQTT6BPnz711rFmzRokJCSgZ8+eWLBgASQ1tK0yGo147bXX8Ouvv2LatGmYMmVKvY93O+Hh4QgPr/yNDB48GDExMRg/fjz0ej1mzJgBADbbcL2++vl2RUWFXdA+Pz8fJpO9D1RAQPWFGvHx8di4cSOGDRuGN954o06aJRIJXnzxRezatQsHDhzgAex6QmP2yeFwBMdaiQ1UZogNGjQIJ0+eRF5e47OISV/8NGsJDvGSpFftg0QAlapAMxEb1HSz+C0IqVQEGiU0DF/TiPQ0p1KlQqWKzEQkyVdKpNc3hXYqZ6Q02jVEgUZyySVjIWsJgkClAjtC5cdagiA0c/FhLUEQ0ivE7+oBADIiVq03CDyrmCw0HJR+MdFoS0HF7aKhsFgs2Lx5M1QqFUaMGGH32vnz57Fx40a88MIL0Gq1tt7L1j7NRUVFuHHjBvz8/ODh4YHPP/8cJSUliI2NxY0bN2z7KS2tTBK5efMmKioqEBERUSU4vWrVKsyfPx8PPvgglixZUmP1tsFgwGuvvYY9e/bgueeew7///e8G+be4nY4dOyIyMhLr16+3BbCt1uFWK/E7ycrKQlDQPy3/xowZg/R0+wT3S5cuVXnfBx98gO+++w7Dhw/H/PnzIZPVfc3PGnTPz6fhsNCQ8AA2h8NpUKyB65ycHCQmJtq2ZWZm2gWvJRIJLEQWVZ3NDWMxawmCUFNGn5goNdOoyCm26FhLcDpUerJSccEpJ/LbVBKprqIClaSoMCWNXoEUercriVhOZxGYBwGAt6xh+z42VtJYCxAIKgFPH4U7awmCQOU8XWXVW8iKDQpJqKFKH9YSBOEGkcBucyIW4g3Fn3/+ibS0NIwYMQJeXl52r2VmZsJiseCrr77CV199VeW9q1evxurVqzFnzhxMmDABGRkZ0Ol0GD9+fLXHio2NBQCcOXMGLi7/tKT6+uuvsXDhQvTt2xeLFy+2e+1O9Ho9Xn31VSQlJeGll17CrFmz7uW064ROp0NRUZHtb39/fzRr1gwXL16ETqezVWQDQHp6OnJzc9GvXz/btk8++QQVFRV33b/FYsHcuXOxdu1ajB49GvPmzat3H+uUlBSbNk794CtUHA6nQdHpdEhISEBcXJxtW3V9sq2W4p6enigpYWsbE/riGqbHd5RhCxazliAIGUQsxFVE7Hs7KsRfwXHUQKMHNhWoVHhSCWBTcUigknhBpfqRgoV4N5dI1hIE4aqZRgJqoVH8jjsc8UGlpZOXlEaCSZmExlzIU3b3QJJYOKelkS7UzaMFawmCUGoxsJbQpNi0aRMAVGsf3qFDByxaVLU95pUrV/DFF19g6NChGDx4MNq1awcAmD59OoYPH15lfGJiIo4ePYq5c+fC29sbCoXC9trSpUuRkJCAAQMG4PPPP79rf2mgMnj98ssv48CBA4iLi8Pzzz9f7/O9k9zc3GptvZOSkpCWllbFCn348OFYunQp1q1bh6lTp9q2r1q1CgDsqti7det21+NaLBa899572LBhA5588km8//77NRZYFRQUQK22b5loNBrx6aefAgAGDhxYw1lyqkM0K1Q0ags4nKaDSqVC9+7dax3HOngtBtJMNBbAZEQqcqigg/htpw0EsuABIFwp/n7mAOAuVdQ+SATcMtGw73WX0qjGkcloJF4Uy+6eMS8mQmWerCU4HX8zje9sEZFrLUdcUHEXCpDRqEw2ErFj1oLGHEFBYL3ET+lV+yAR4EqkqKHYTOO32RDk5+dj3759iIyMrHatPSgoCEOGDKmy/ciRIwCA1q1b273epUuXao/zyy+/AAD69etns+EGKgPbCQkJ8Pf3x6BBg/Dzzz/bvc/d3d0uMPuf//wHBw4cQNeuXRESEoJt27bZjY+IiLirhrsxY8YMeHl5oUuXLmjWrBnKyspw+vRp7NmzBz4+Ppg9e7bd+OnTp2PPnj345JNPkJ6ejjZt2uDYsWPYtm0bRowYgZ49e9bpuB9//DE2bNiAli1bomvXrti+fbvd6/7+/njooYdsfz/xxBPo1q0boqKiEBgYiOzsbPz000+4evUqhg4dikGDBtXrvDkiCmBzOJzGRXx8vK3yWqPR4PDhw402WN3Ue2APRVvWEjgNiJRAf0uAxgM2FdL0NOwkqVQmU+ktZ5TROM9SIgtDwQoaC5plEH9i1ApDCmsJgjBAFc5agiDkWGhUPh41prKWIAjBShq928+WZ7CWIAhuBCp2AaDMRGMuROE8qXxn88w0ktz8ZW6sJTQZtm3bBoPBUG31tRCcPXsWAJCXl4c333yzyuuhoaF2Aexz584BAE6cOIETJ05UGT9q1Kh6B7DHjh2Lffv2YfPmzSgsLIRMJkNoaCgmTZqEZ5991q6nNQB4eHhg7dq1+Oyzz7B7926sX78eoaGheO211/DMM8/U+bjWc0lJSakSJAeAnj17VglgHz16FIcPH4ZWq4WrqyvatGmD+Ph4jBo1ikx7zIaExkoch8NhhrX/dfPmzaFWq5GcnGzXC5vjOFQCnlRu8lR6YO8pvcJagtPp696StQRBOFp+k7UEQVATecAOIlJ1dM1AI/HCV07j8/SU0Kio9yVwnjoiATIjkUpWKgQR+d5m62k4f7V3DWEtgdOAFBJJ5rtPJv7r0GFdOmsJgmCwiN+tDgBKiPw2G4KpU6fa2WDXlQceeACXLl2q8/j58+dj/vz5dd5+N/bv31/nsXVl4sSJmDhxYr3e4+vri7lz52Lu3Ln3fNzvvvuuXuOrC3JzHIMHsDkcjsNoNBrodDoAQE5Ojt1rOp0Oq1evto3x8/NDly5dcPLkSZjNldVP+fn5gmu+nQ9fCGR6fEcxf0RjAUxK4zTJ0Nu9BWsJToeKzSIVC/FcI40eu/nGUtYSBMGFiCU8lYp6PZGFPp1E/OeZZaARICuS6lhLEIRAIklR2foi1hIEQSah4aBkIHLvpPJ5VhBp65QlEX/Vrp/Cg7UEQaDSPk9vofHb5HA4jsED2BwOx2F0Oh0SEhIAAHFxcQD+CWpbA9q324lnZmaibdu2OHToEBvBd7ASTTv40orIA7acyAO2iki/I3fIWEtwOqcNNNwmioxlrCUIgrecRgU2lWsQlYz/LCJBFVcVjYSEQgIuLVSSLlormvbzR125ZaYRqKeStEjlPN0lNO4ppRYDawmCQKWdiguBdkflZhrf2Qg5jdY4beHLWgKHMSUlJbaCuLshk8ng68u/K5QRzd3NTGQizeE0FaxBbWtA28rtgey+ffs2iiD23z5DWEtwiGE+e1lLEAQqVullRBYS0sziD3pGEVmcPkYkgN1M7slagiAUEVnkcyNSge2ppNEr0GSh8SwYKFOxluB0bhBJWCwjUnVEpTUOlUrWEKUPawmCkEPgOQUAvKQ05ggeRM6TQgJYVkUhawmCQCWhWCulMRfi3J158+Zh69atNY4JDQ11iiU5p+lA44rI4XCYkZycjLi4OBQUFECt/ieY0xgC11bc9G+xluAg/VgL4DQgFiKL8L4EFhJkRJIuqFiIUwnsUqk6CpLSqKj3JvJ5/m2iYTt9ySj+3u3BChpVR1cqaLi0UAnsmonM36m4ekS4+LGWIAjZRNrjULEpbiP3Zy3B6ZQraST7qwkkLALALZP4be85NTNt2jQMHz68xjEuLuJfO+TUDA9gczicehMQEADgn+D07X2vVSqV3TY/Pz8kJCTYLMUbU+DaSplyHmsJDiHFPtYSBEEioREMpHKeFCwlQ4gEyNL04g+oAEA311DWEgRBR6SXsB7ir1IBgHQiVWQKIkGyYrP4f5/FRHpgKwhYvQKAWkZjLlRs5IvwYkJLJGmRQsUuQKcCm8YqAg1ciYRrqFSac+5O69at0bp1a9YyOI0cfqXgcDj1JjAwEABgNpur2IRbLcKHDBmCuLg43Lp1C927d2eis67EF65jLcEhzC1oZIhLaRQ2wI1ItRyFhaHTRKoaqHC+Iqf2QSKASpUKlUVbKlWBwUpv1hIEoZVc/I4XuWYagUATkSSaW3wuxGmCUHFRcidS5WkgkpyZaS5lLcHpaE3iT4IHgD5EEuH/ltNILuFwOI4hmgA274HN4TQugoODAQB5ef/Y4/n6+kKr1cJiscBgaDzWPyvRtBcDWxJ5IKNSXSUhsmDShsAi/FFdBmsJnAbEVapkLUEQQmU0AoFXidj3+ircWUsQBCp9dgul4k/+8iTSn14BGvPaYgmNYIOFyHqUlIhTVBuFL2sJgkDle3tOT2POR6FlA5XWVWU0LrU8lsPhcOqEaALYHA6ncbF69Wq7v4cOHQqDwQAXFxeUlJSwEXUXyqVvspbgEApJPGsJgiAjstBHZRG+jEDiRWdVMGsJgnCsPJ21BEEoMtGwYtZZGk+CmTPxIFJ1RAV/OY1AfaTUg7UEpyMnksh32pjPWoIgBMrF/50FgEKD+CsfATqJtrcs4k8WAoBwCY0qz07KANYSBCHF1LjW2ZxBAZGeyb8raLRTKTTRuNZyOBzH4AFsDofjMNa+1wUFBcjKyoLZXGmJZzAYGl2wujrSFz/NWoJDDJe0Yy1BEKREFkwUEhlrCYLwt0H8C7ftlf6sJQgClWocKpbTVBbh/ZVerCUIQjmRpKhAGY0AdhHEb/GvJ5DgBgDN5TSuQQYi904qBCg8WUsQhGICrY4A4E9TEWsJgmAkcl9xIeBgQmVem2Ok8TyWpadxDeJwOI7BA9gcDsdhrH2vNRoNAECtVtuC2QqFAvn54g9UsURvFv9iJkDDEgsAfGSurCUIQiGB7GkDEUssKj12e7tGsJYgCOVEFvmo9J/VEulpzhEPNH6ZwMMGGi4QWURWnApcg1hLEAQtkcBuMZE+u0FyGgkJ+URclNQE1hFciCT7BxBJzHQn0qKLw+E4hmgeJyxEFk85nMaEVqtFXFwcDh06VO3rkiZSlffhC4GsJThE54U0qjzPGwtYSxAECvagAPBjaSprCU6ng8KPtQRB6OUaxlqCIFDpE+gjEX/1BgD8baJhzUeln3CqgUYFx1UClUdyIovTSiWNxEwtkbYUl8uzWUsQBCoJxR5yGgkmVCqT9USS+Y4UXWEtwel09YpkLUEQbhppPKfwADaHw6kLoglgczgc4bFYLEhISLDbptFooNPpkJycjLy8PEbK6sdz+qa9GDiFSGC3qSREOMp9Jhq35iGebVhLcDo6InVkmSYaFmfphkLWEgTBYKaxmNnZtRlrCYKQbmz8rVwagpYKNWsJghAkcWEtwelkE+k9ayKSFEVl/s4RF+2J9ExOJTJHoJIY1cmrBWsJTidCRiPZP4vId5aKq0dDYjabMX78eJw+fRoPPvggVq9ebXvt4MGDWL9+PS5duoSCggJIJBKEhobi0UcfxVNPPQUvr3/a11RUVGD79u04ePAgLl68iJycHKjVakRFReHZZ59Fr169qhy7rKwMS5cuxe7du5GRkQEPDw/06tULr776Klq0aFFlvNFoxMqVK/HDDz8gPT0dPj4+iImJwauvvgq12vFnt+zsbAwdOhQlJSV45ZVXMHPmzBrHJyYmYu7cuQAq/62Cg4PrdJz6/Lta2b9/P9asWYMrV65Aq9UiKCgIvXv3xrRp0xAWRqMApCGhsUrO4XAEQ6fT2QW1rQHtnJwcREREQKfT3bVimxXLlE0764+KDarEQmMB7JSchmWdjEBP8zMVNKpxAuQ0FhJkoFF15Kek8XmeJ/L7DFZ4s5YgCGYiwcA8S9NOuqwLVD7LawYaLZaozBGoQMWNJp9IUCWCiIU4hedOADhvuMVagtPJkYi/DRkAlBFw3OHcG2vWrMHff/9d7WvW7aNHj0ZgYCAMBgPOnj2LJUuWYNeuXfjhhx/g5uYGALh58ybefvttdOnSBSNHjkRwcDCysrKwfv16PP300/jPf/6D6dOn2/at0+kwefJknDt3DgMHDsTTTz+NgoICrF27Fk8++STWrVuHyEh7hwSNRoPt27djwIABePbZZ3Hz5k2sWbMGJ06cwIYNG2xa7pU5c+bAZKpb8n1GRgYWLFgANzc3lJX9P/bOMzCqanv7z9RMeiY9JITeLoh0BEVB6pXupYihBKWJyDWiVwe7f3G4gEZQBKQriBRBivdSDIigFBWMAgEuUhLSQzLp0+f9kDcj46QNmTk7OWv/vijn7DnnOTOTOfvstdazXGsr4cr7ClR8Ru+99x46duyIGTNmwNfXFykpKdi1axcOHjyI/fv3IyyMRqKcu+ABbA6H41EqA9oajQaZmZkAgNDQ0EZTnd0YoBJUoVLBoQKNbFsFgYWELl40+iGmE6nAppIslGuiUY3jLxd/n0AAyDfT+PvMB43r9JOJvwKbSu9ZnYnGd5a3ehMXEgLzdwAotNL4HcogYlNsJuIuFK5wrgIUG9nmEtYSBIFCP3OAzhqfu0hLS8Py5cuRkJCA9957z2n/jBkzMGPGDKftrVq1wrJly3D48GGMGTMGABAcHIzdu3ejY8eODmMnTJiAkSNHYvny5ZgwYQICAyuSobdv344LFy5g4sSJ9ipmABg9ejRGjBiBd999Fxs2bLBvP3XqFPbt24dHH30Uq1atsm/v2LEj5s+fjw0bNmDevHn3/F588803OH78OF566SUsXry41vFvvPEGWrZsiZYtW2Lfvn0uncuV9xUA1q9fj4iICGzbtg1eXn8+u8XGxmLx4sU4fPgw4uLiXNJAHR7A5nA4HkOj0SAnJwcAoNVq7dtMJhO6du1qtxq3Wq0oKiqCRCKBySR8n7Rj008Kfk53osIY1hIEIUgq/kVbAFASWRgqgPh7IlJZ5Esz0mhj0MaLRpbsHYtrGcmNFRORhIRguS9rCYJApb9lM7n4K+p/JxLADpTXr+qksRBIZBG+yEyjKpAKFH5rAeCWuZC1BGGgke+POwSCu1IJjQ+Tiu29gsjn6S5ee+01tG7dGlOmTKkygF0d0dHRAICioj+TltRqdZU23uHh4ejZsyeOHDmCGzduoEuXLgCA06dPA6ioQr6bpk2bokePHvjhhx+QmZmJqKgoAMDevXsBANOnT3cYP3ToUERHR2Pv3r33HMDOz8/Hu+++i6lTp+Jvf/tbreO//vpr/Pjjj9i1axc+++yzezpnVVT1vgJAcXExYmJiHILXABARUVHgolKp3KaBCqIJYFOxGuNwGhN6vR7h4eEO27Rarb0aW61WN4hK7BsbR7KWUC9aN2OtQBjuWGgsDEUSqQqkUGl+3pjDWoIgNFXS6D1700jD7tVLqmAtQRCKidxTikHjOtVEAvV9zeKfI6QT+SypOCgFE0lA9famce+8pqcxt80iksznJaHxvc0x0ag0DySwjkAlQTyVyHNnd1UT1hIEYeDAgTXuT0pKqvUYO3bswM8//4yvvvoKUmnNc8jS0lIYDAaUlZXh0qVLWLZsGRQKBR588ME66c3Ormi1FRISYt9mNFbY2lcVfFWpVLDZbEhOTrYHsJOTkyGVSu0B8Lvp2rUrDhw4AJ1Oh6CgoDppuptFixbB29sb8+fPx++//17j2Ly8PGi1WkybNq1Owe6aqOv72q9fPxw6dAiLFy/GuHHj4OfnZx/frl07PPbYY/XSQRHRBLA5HE7DRKVSISEhAQUFBcjKyoLVakV+fsOajF1bdYW1hHrxmKQ9awmCICXysKIHDYuzVIv4M8SpJNdRqcD2lilZSxAEGc+EFxVUrNJDZTSqWY9IxL8If8cg/vkBAPgQsIMHgHApjd8gKlCwKAaAAiIBbD2RPrtUEoYotAEqNtH423zYvw1rCYKQS6RdQ33Jzs7GkiVLMH36dLRvX/v67//93/9hz5499n+3adMGn3zyCVq1alXra48ePYrffvsNvXr1QtOmTR2OcfLkSZw+fdpBQ3l5OZKTkwHA3jYUALKysqBWq6FUOq+hVFYiZ2VluRzAPn78OA4cOIC1a9fWqYf2O++8Az8/P8yfP9+l81RFXd/Xt99+G1arFZ999hk2btxo3z5kyBAsXrwY3t58buwqPIDN4XA8yt3W4QBw4cIFABX9NkpKSuxZXCyJaXOVtYR60RmjWEvgcFym3Cp+C3EbkQA2FUrMNB6wpUR6kVGx5qPSZzeESABbRsC9hAptFTTcS3REAmRXy7NZSxAEKnOEACIW/5EKGlbpVNARcBeKUQazliAIp0pvspYgCB18olhLEIS6VFjXxFtvvQW1Wl1ny+0ZM2Zg1KhR0Ol0OHfuHH7++WfodLpaX3ft2jW8/PLLCAwMdLIof/LJJ7F9+3asWLECPj4+6NOnDwoKCvDRRx/Zj11e/udvkF6vt/fP/iuV1tp6vWvrKyUlJXjjjTcwYsQIPPzww7WOP3LkCA4dOoT169e7JWhc1/dVqVQiJiYGPXv2xIgRIxAUFIRz587h888/x/PPP4+VK1dWGdjnVA8PYHM4HLeSkpKChIQEALD3vwb+DGQDFcFsvV6PgoICqNVqnDhxQnCddzN30ENMz19fTiGUtQRBkBBZMKFgrQ0Af1OI/+Ez2ZjLWgKH4zJWG43ECwuRHthUgg0qIgkJFgJ/n1Tme4U28SfyAXQ+TypQse8tMNFwgqDicFZOJJHGQCBBXCWhEcYI96KRXHLDwL6lZEPnm2++wdGjR7Fx48Y6905u3bo1WrduDQB47LHHcOjQIcyfPx8ymQzDhw+v8jXXr19HfHw8rFYr1q9f71B9DQCxsbFYu3YtXn31Vbz++uv27Q888ABmzZqFlStXws/Pz75dpVJVW7BmMBjsY1xhyZIl0Ov1WLhwYa1ji4qK8Pbbb2PkyJF46KGa1/wtFouTU6xCoXCqDq/L+2q1WvH0008jNzcX33zzjf0aBw8ejNjYWLz11lvYuXMn4uLi6nrZHIgogM2rnDichoHVakViYiIAYNiwYfZgdiUpKSkNou/13cxuAFXg9SFd7s9agiCkEbCcBoA2Vhq9yLaZb7OW4HGoBMioEOsVUvsgEaAgYiFeSmQx02yj8TukEs9jbY3oJWbWEjyOl5TGPOjX0jTWEgSBShsDjrhQSmncUwJkrgUPGivBRCrqfym8zlqCxykxi7/KHACiVOJP9gcAbymvQq0Jo9GId999Fw899BCio6Nx69Yth/16vR63bt2Cr68vQkOrL2waMmQIfH198eWXX1YZwL527Rri4+NhMBiwceNGdO7cucrj9OjRAwcPHsT169eRn5+PyMhING3aFEuWLAEAByvtyMhI3Lx5E0aj0anauLLHdmRkZN3eCAAXL17Ejh078Mwzz6CkpAQlJSUOxyosLMStW7cQEhICPz8/rFixAsXFxYiLi3N430pLK9zJbt++DYPBgNjYWGRmZjr1Ke/Vqxc+//zzGjVV9b7+8ssvOH/+PCZPnuwUoB82bBjeeustnDlzhgewXYTGrIzD4TDh7mB2ZdV1ZGQkOnTogF9//RVdunRhXn0tBlLN4u91BNCp4PhdSsOmmMLneZ8inLUEQThbLv5kBIBOQoKFSMCTynVaiST5moj8fbaX+NU+qJFTJhN/kB4AsqFjLYHD4VQDlaBKtMyXtQRB+MOkYy1BECjMbX2JJLl5S2hcZzHvgV0jer0e+fn5OHnyJIYMGeK0//z58xgyZAgee+wx+9p7VVgsFphMJhQWFjrtu3r1KuLj42GxWLBp0yZ07NixRk0SiQStWrVyCFafOHEC/v7+6Natm31b586dcf36dSQnJ6Nnz55OumNjY13qf52ZmQmbzYZPPvkEn3zyidP+TZs2YdOmTXjrrbcwadIkZGRkQK/X44knnqjyeJUB5N9++w1hYWEOvaoBICAgoFZNVb2vlQF1i8VS5fjq9nFqhgewORyOxwgLC7P/v16vd7ihxsXFQaVSoV+/fkhJSUFBQQGkUilMJuFtj4LDpwl+TnciU9evnwqnYXG/hUYm/AUCNqgXiFiIN1XS6ON503CHtQRBMFppBI8CFTSqcWREKuoziCTz9ZSJP4CdY6LxWVKBikUxR1wUmstYSxCEa1IdawmCkKqn8UwWoBR/QoKRgE06AKTpG5ZrpafwkdNY+7pXvL29sXz58ir3/fOf/0Tbtm3x7LPPIiqqopd4bm6uwzp8Jdu2bYPRaESXLl0ctl++fBnx8fEAgM2bN6N9+/Yua/zss89w9epVPPfccw59pkePHo2vv/4aGzZscAhgHz58GOnp6XjuuedcOs99991X5Xtx7do1fPTRRxg+fDiGDBliD8DPnDkTo0aNchq/detWnD17Fu+88w4CAwOhUCgglUrRt2/fas/tyvtaaTH+7bff4oUXXnAIhO/evRsAcP/999ftojl2eACbw+F4jPDwiupDjUbj0A8bgN2mQ61WIyQkBAcPHrSPPXLkiKA6h4x9VtDzuRvv775lLYHjRs7LaGShRhCoIsswF7GWIAjpRKoaVEQy/qnYZlLoEwjQsWMOJmJTfFMq/u9tuIJGaxwpkeQSKv1KSy0G1hI4bkQukbGWIAheROZ83jIv1hIEocws/nUEKklRzb1pOLndNuTXPogwCoUCw4YNq3Z/SEiIw/4RI0aga9eu6NSpEyIiIlBYWIizZ8/i+PHjiI6Oxrx58+xjMzIyMG3aNOh0OsyaNQtXrlzBlStXHI7/4IMPOliTx8XFoUOHDmjZsiVsNhtOnjyJo0ePYuDAgZgzZ47Da/v27YsRI0bgwIEDmDNnDgYOHIjbt29j06ZNaN26NaZPn+7SexEREVHle3HmzBkAFYHju/d37dq1yuN89913AIBHHnmkzhbmrryv7du3x7Bhw3Dw4EGMGTMGEyZMQGBgIM6dO4f9+/cjNja22qpwTvWIZrZiI1DJxeE0VvR6vT2YXYlWq7X/v0ajsffKvnHjBvr16wcA3F6c4wCVhxUFkesssIi/f5WEyGdJBSqL03oi1+lPpALbbKNhUXapPJO1BEHo592BtQSPc5pIBXawXPyVcgCQby5lLYHDcRkbkfYbOiKV5lYi68UKAkmLJiIJqFSSv0KIJC0KxdSpU/Hjjz9i27Zt0Ol0UCqVaNasGebOnYv4+HgEBgbax6alpUGn0wEAPv300yqP99lnnzkEsLt06YKjR49i165dkEgkaN26Nd555x2MHz8eUqlzYubixYvRtm1b7N69G2+//TaCgoIwevRoPP/88/D1bTzzYFfeVwBYtmwZunTpgn379mHVqlWwWCwIDw9HXFwcnn322TrZk3McofGLyOFwmKBSqZCQkICcnByHamy93jkzNCUlBXl5FTY5t28L20/18J6Vgp7P3YwKovFAZiUSC+xkoZEhnkqgt1y0lMYD2e/6LNYSBIGK5XQAkUpWfxkNy7pCAslCABCqpLEQ8I01m7UEj9NKGcJagiBcJHLvpNLGgCMuqAQ8oxSBtQ8SAXoiQc/0UvHbTj8U7LrFcWOEShJNJq/Avmf+Wi0NAM8++yyefbZuDqO9e/eu8hg18dJLL+Gll16q83iFQoHZs2dj9uzZLp3HFVy9jsWLF2Px4sUuncOV9xWouO7p06e7XGXOqR4ewOZwOB6jsso6ISEBV69exZAhQ2AymaBQKJCfzycq7kIioRHZpVKBnUzEQjwajSfj8l65YBT/IgIASIn8BsXIaSzyGUCjYtdApNd3pIJGYJe7cYmHP4x3WEsQhDIibheBchrJXxxxUWgsYS1BEK6ARiINlWcVI4G57W1jAWsJgqAz0fgNorLGx+Fw6gcPYHM4HI+g0Whw/vx5e1V1Q4b3wOY0JBSgUamSZRV/VeDflKG1DxIBP+vTWUsQhMt68Vc+AnQy/tUKP9YSBCHfSMO+10TEKt2HSB9PCrT2jmAtQRDkRCqwS4gkJLRWqFlLEITD5susJQiCL5F7igVW1hIEQS4Vf+/21l40nq9ziThiZRuLWEvgMKa4uLhKl9a7kclkCA4OFkgRpyHCA9gcDscj6PV6hISE4ODBg/ZgtsFgQHFxw+trd6RXW9YS6sUzJ3qzliAIt80N77vjCX415bKWIAgUAvW3zYWsJQhCtCKItQRB0FlpuCN4ScS/+AXQWTBp6kXjYb/IQuPvM0wu/sSLPAuNpAs/Aq1UAMBkoxE4yjLSmPO1IjLni/SiEaj3IxLA1hOoTAaAtgHRrCV4nDPF11lLEIRH/NuwliAIFgWNxGlO9SxatAh79uypcUx0dDSOHj0qkCJOQ0Q0AWwrkWoRDqcxkZtbEYjT6/Xo0KEDEhMTAVRUZx85coSlNAfeeyactYR6kfpvGovwVOyFfCQK1hIEoYhAMLCNgkYfz/+ZaNi9UrEoVkjFn1wCAKEKGj3qCyxlrCUIgoFIf8tMk/grzak81/9amsZagiB09BF/QIUjPgrNNO6d3kQSaXRmGolRVNyFKGAm4hoQKuNtRqgzY8YMjBo1qsYxXl40kq041SOaADaHw2l4SKVSJCQkICcnB+HhfwaJ9Xo9fv75Z2g0Guj1ety4cQO3b99mpnPhqhxm53YHoyRhrCUIApUAdjmRRfhQmfh7YF8z5bOWIAhUAkdyIpXJOiIBTwuRqkAqmKziD+wCgFUq/uCuSkojkY8KVKx7qSAh8jwmI2J9f6u8ca+D1BUJkR7YBouRtQSPE6IMYC1BEH7TZ7KWIAhRyiDWEjiMad26NVq3bs1aBqeBwwPYHA7HrRgMf/b/qqy6TkhIqHKsXq9HYmIiNBoNgoKCYDKZEBsb26CqszkNByoVOVSybUut4n/AppJ0QQU1kQzxPHMJawmCEKukYa19h0hCQinE7+oB0AmqUCCUyCI8hZYxHPHhQ8Ra20rEXajUXM5agiAEKcVfgX2HSAugCBWNNgZGIvb+HA6nfvAANofjIpVVw/UhJ6dhZ7qqVCqkpqbe02uNRueglEqlwunTp+2B7JycHGg0Gvv7oNVqAQA9evTAlStX7lE1XWJlNGxQUy00emBTIVwu/grsbCJ2dVQWv7JNNBZMpESqVNJNOtYSOG4khEBvaACIIHCd5TYai5mXyjJYSxCECDmN5xSOuCizGGofJAJ8iQTqqUAhGBjqFchagiDkGQpZSxCEtj5NWEvgcDiNANEEsKn0JeSwp7JquD5UV5HcUNBqtW7VqNVqMWTIEPv7lpCQAL1ej9jYWMTHxyMrKwt5eXluOx81eGBXXFCp2j1bfIO1BI8TqaJR4Ukl4Km30LBKtxFxu1BKRfMYVCNKCY3rpPGtBW6aClhL8DjNFEGsJQhCF9+mrCUIQozEm7UEQShU0giqUIFKBTaV9jgyIu2O/OXi/70ttdBw3KGCkUjSIofDqR80VjQ4HE6DRKvVQqPRwGQyoWvXrsjMzMSFCxdYy2p0hEuJ2NpaaVh/UcFLpmQtgeMmookEG25YaSRamaw02hhQWbSlsjBUSMQq3YtAf+ibRvEH6QHAR0pjHhSsoHGdWUYa1XKtFTRsbalUYFO4pwB0LMQpJBUXm2jM96i0jMkn4ljH4XDqBw9gczgcl1GpVEhISIDVhUXusLAwh9dXWpRrtVrEx8fj/PnzvAr7Hsmx0pjEc8RFa1U4awkep8BCY7GEihUzhe8sAJRYaSzayoj0ZTXZLKwlCAKFRVsAyDOJv0e9ikhAhYIdPMB7YIuNCNBISCgnEsCmcp3hXkGsJQiClYAfTbA3jecxbyJzoSJeUc/hcOoAD2BzOByXqexZ3adPnzq/Jjz8z4nmXy3Ko6KiAAAdOnTAiRMn3KSSDlRaKEiILE5TePAEgHCZ+J0DqASwqfTATjXms5YgCGQqkwn0CQSAQLn4f2sB4A6BwC5AoyKHyjzoBpF7SjOvGNYSBKGtdwRrCYKQBRoBz2AFjd7tVFxa9EQsxKm0AaJAllHHWoIgtPOOZC2hwXPz5k3s378fP/zwA9LS0lBaWoomTZqgb9++mDVrlsNaOwCYzWZs2LABX331FdLT0xEUFISBAwfi+eefh1pdtYvKqVOnsHHjRiQnJ6OsrAyhoaHo3LkzFi1aBD+/PxMujUYjtm/fjj179iA1NRU2mw1NmjTBiBEjMHnyZPj6+trH5uTkYOvWrbh06RJSUlKQm5uLPn36YNOmTff8Xpw5cwZTp06tcl9QUBDOnDlj/7fNZsP+/ftx/PhxXLhwAdnZ2fDz80OLFi0wdepUDBo06J7XmMvKyjBixAikp6dj3LhxWLRoUZXj6vq+cmqHB7A5HA4TUlJSHILY3Dr83qES2OVwGhtUFuGpVD5S6YHtJ6cRwG6iDGItQRCoVDa0U9EIHskg/t9bKoHdMCIV2EbQaEtxtTybtQRBCPdtzlqCIFB5vg4gkFAMAAVEktwCCCQt+hCpTC63GFlLEAQqzyn1YdeuXdi6dSsGDBiAv//971CpVPj111/xxRdfYN++fdi2bRtatWplH6/RaLBv3z4MGDAATz/9NG7fvo3Nmzfj3Llz2L59O3x8HH8n1q5di2XLlqF3796YM2cO/Pz8kJubi/Pnz6O8vNwh0JqQkIBvv/0WQ4YMwT/+8Q8AwMmTJ/HBBx/g+PHj+OKLL+xjb9y4gdWrVyMiIgL33Xcfjh496rb3ZOLEiejevbvDNi8vL4d/G41GvPTSS2jXrh2GDh2Kpk2boqCgAF999RXmzZuHSZMm4a233rqn83/wwQcoKKi55ZEr7yundkQTwKaySMzhNFYqbcfvrrDm1dbuwWKjsTCklnmzliAIpVYaDytXTeJfoLYS+dukUoEdqBD/ohBApwI7zSD+3yBKUHkWDJX71j6okRNCJLCba6YRUBmNENYSBKHQtxlrCYJApcLTT+pV+yARUEwkeBRE4N4JAHdMxawleJwiAk40ANCGSGImlXtKfRg6dChmzZqFgIAA+7aJEyeiS5cueOONN7BixQosX74cQEXF7759+/Doo49i1apV9vEdO3bE/PnzsWHDBsybN8++/ezZs3j//fcxZ84chwKzqrh16xa+/fZbDB06FCtWrLBvj4uLw5w5c3Ds2DH873//Q5s2bezn/PHHHxESUjEPbNeuXf3fjP9Ply5dMHr06BrHyGQybN68GQ888IDD9smTJ2Ps2LHYtm0b4uLi7Hrryrlz57B161a88soreO+996oc48r7yqkboglgczichk2l7ThQkRGm1+tRUFDAK6/dAAU7SQAoItKXVUqgugqgUUVmIfK3SaUC22yl0Us4n0hQRSWjUcERRaTS3FtC4/NUEUgwkRO5p7TyomFRfNhWxFqCIFwozWAtQRCoPHd28o5iLUEQjDYac1sqVulqhfgTwEqJJF1kmgpZSxCEUguNNb76cN9991W5ffjw4XjjjTdw5coV+7a9e/cCAKZPn+4wdujQoYiOjsbevXsdAtirVq2CWq22bystLYWXlxfkcudwYXFxRYLMXy3LASAioiLhQqVS2bf5+fl5tMq4vLwcEonE4Zx3I5fLnYLXAODj44P+/ftj06ZNuHr1qksBbKPRiNdeew2DBg3CwIEDqw1gu/K+cuoGf+c4HI7g6PV6JCYmAvgzmA3wiux7hffAFhfeRGyxzAQWTKj8bVKpwJZIaFynr5xG1ZEMNBbhqfSGVkhpPNaGE6hOpuIsdAc0FuEpJCwCQDCBwBEAFJrLWEsQBCpVgQGyqhf+xUYWkWAgBRclKnMEKvPaCBmN505PkJ1d0bokNDTUvi05ORlSqRRdunRxGt+1a1ccOHAAOp0OQUFBKC8vx9mzZ9GvXz/s3bsXn3zyCdLT0yGXy9GrVy+8/PLLaN++vf31bdq0QUREBHbu3Im2bduiT58+ACrW8Xfv3o3x48ejadOmnr3o/8+iRYug0WgAAJGRkRg1ahTmzp0Lb++6uXZWvneV1eF1ZeXKlcjJycHGjRthMlXdXs7V95VTN2j8InI4nAbL3cFsAIiPj8eNGzdw/PhxABUB7szMTF6pXQNUArtUKLfS6LNLYUFTQuAaAToV2FQWTIpMpawlCIJaSaP6UUFgMRMAIuQ0Pk8KFdg3CLQYAYCeXjQqPLNtNAL1f+hzWUsQBCoV2Hcs5awlCEKOiYZDApU5vEqqZC3B41D5DTJZabgGeMnEP68FgIEDB9a4PykpyeVjVtqGP/744/ZtWVlZUKvVUCqdfwsqq6SzsrIQFBSEW7duwWw2Izk5GSdPnsTTTz+NTp064dKlS1i7di0mTZqEr776Ci1btgRQ0WN6zZo1WLhwIV5//XX7caVSKebPn49nnnnG5WtwFblcjv79++Phhx9GVFQU8vPz8e233+LTTz/Fjz/+iC1bttQaxL548SKOHDmCZs2aOfXRronLly9j3bp1eO211xAREYHbt29XOc7V95VTN0QTwKaSIcnhNHY0Gg1ycnKq3b9p0yYMGTLEPjY1NRWxsbHQ6XTV3iDqy3vPOFugNCqWsBbAcSdU+njmGMWfCR+ioBFQoYKRyEKCr7xumcuNHbWcRk/zEiLWfJFSGt/bcgLuJVSgEtjlcBojVFo6KSWiWRKuEYmUxucZJBP/XIiKhTgVfAgkXQCAAe59Hlu9ejUOHTqEQYMGYezYsfbter0egYGBVb7Gy8vLPgYASkoqXLry8/PxzjvvYOLEiQCAwYMHo0mTJnjttdewcuVKvP/++/Zj+Pr6olmzZmjRooU9KH/o0CF8+OGHsNlsmDt3rluv8690794da9ascdg2btw4LFu2DGvXrsXnn3+OWbNmVfv6nJwczJs3D1KpFEuXLoVCUTf3S7PZjIULF6Jz58544oknahx7L+8rp3ZozFY4HE6DQa/X23tmVBfMDgsLcxqr1+vh7+9v77vhTjRBk9x+TCEZFXSEtQRB4JXm4iLGK5i1BI9DpZqeioW4n5yGzSKVRVt/KY3Pk8rf5x0bjUA9hSoyKol8HA6n4ZJh1LGWIAjNvVyzT22slNtoPJOlGWg4mFDgjpGGOwKVHtgpSWfddqzNmzcjMTERvXr1wrJlyxzWSVUqFYxGY5WvMxgM9jF3/1cqlToEwQFgzJgxePPNN3H69Gn7tuzsbIwfPx59+/bFBx98YN8+fPhwJCQkYMWKFRg0aBDatm3rngt1gblz52L9+vU4duxYtQHs3NxcxMfHIzc3Fx9++CHuv/9+h/35+fmwWBwThStjExs2bMDVq1fx9ddf17ou7er7yqkbPIDN4XCYcXeA+m7u3LmDhIQE5OTkIDY2Fr/88gtKSkqqvRFThwd2xYWcSF9WI68iEw1ULMS9eH96UXHDkMdagiBQcalqpQhiLUEQCiH+RXgqSTS5ZhrtGihUBHLEB5We5hlEekNTua8UGN1f7NHQCFLS+Nv0khGpTCaS8O8uNm7ciMWLF6NPnz5YtWqVk112ZGQkbt68CaPR6GQjXtn3OTIyEgAQFVXRyiYgIMBprEKhgFqtRmHhn/eInTt3QqfTYdiwYU66hg0bhv/85z/46aefmASwfXx8EBISgvz8qpN4srOzMW3aNKSnp2PFihV49NFHncaMGzcO6enpDtuuXLmCnJwcfPzxxxg1ahQUCgVu3bplPyZQUXF969YtBAQEQK1Wu/y+cuoGD2BzOJwGR0hICBITE5GQkACtVuvxPthDxj7rkeMKheoYr8AWE0oC/S0BINVwh7UEj0PFQpxKhWcekUx4Kr3blVL+GCQmUoziv6cAQIRc/Au3YQSukRJUkmioBDwLzWWsJQhCuZVG4rw3Efteo41GGyAKwV0qPbADiLQ6CpX5spbQaPj000/x/vvvo1+/fli5cqXdEvxuOnfujOvXryM5ORk9e/Z02Hf+/HnExsYiKCgIQMW6e0xMDNLT01FeXu4QDDcYDMjPz3coOKt0T/1rlfLd28xmNr+1JSUlyMvLQ7NmzZz2ZWVlYdq0acjMzMTKlSvx8MMPV3mMpUuX2qvU7+bOnTswGAz46quv8NVXXzntP3jwIA4ePIiZM2fixRdfdPl95dQN0azcUFk85XDEgEqlsldY3/3DXRmovnPnDvr27Quj0YgePXp4XM/hPSs9fg5PMlpNI9hAJXO6nMgDNoXgLhUbVCoV2Goii9N6Iou2FKyYATrOARbQ+Dz/IOAccJ8qkrUEQbhtFn+lHAB0VYSyliAIV03ZrCUIApXgEZU5QomVRj9hPxmNtjHeCvEnJNwx0bh3BhFpdfRz0XXWEhoFq1evRmJiIgYMGIAVK1Y4VfZWMnr0aHz99dfYsGGDQwD78OHDSE9Px3PPPecwfuzYsfjoo4/wxRdf4Omnn7Zv37ZtG6xWK/r372/f1rp1awDA119/jccee8zhOHv27AEAJ1tud1NQUAC1Wu2wzWazYcmSJbDZbBg0aJDDvszMTEydOhW5ublYvXo1+vbtW+2xu3fvXuX2mJgYLF++3Gl7fn4+3n77bfTp0wdPPPEEWrZsad/nyvvKqRuiCWBzOJzGg1arBQAkJCRApVIhPj4earUaycnJKCoSvsKtsVdge3/3LWsJHDdCJegZSMBSssBCo0qFClSSaKgkhYYrAlhLEAQq7RqoVFdRCB79j0g1PZUA2XVZCWsJHI7LBBB4TgGAfDONv08FEYezGLn4E8TTynNZSxCEAnk5awmCEONDI8mtPmzduhWJiYkIDQ3F4MGD8d///tdhv6+vrz1w27dvX4wYMQIHDhzAnDlzMHDgQNy+fRubNm1C69atMX36dIfXPvXUUzh8+DCWLl2KGzduoGPHjkhJScHOnTsRFRXlEPB+/PHH8fnnn+P48eOIi4vD4MGDAQBHjhzBzz//jCFDhqBLly4Ox//kk08c/p2enm7f1qRJE4wZM8al92LGjBkIDQ1Fp06dEBkZifz8fCQlJdkrzuPi4uxjS0pKMGXKFKSlpWH8+PHIzc3F3r17HY7XrVs3NG3atMZz+vv7V2mbfvv2bQBAdHS0035X3ldO3eABbA6HIyiVtiMAkJKSAgAoKiqyW44oFAqYTML2QRmw8SFBz+duTjWnMemz0ogdkQlgX9fn1D6okROkoGGJ1UsVzVqCIKRbaPQrpdKugUpCQrCMhgVhpJRGsKGcQELCJaP45wcA0FwZzFqCIFC5p3DEhZmIqweVpMVSq7MtrBjxk4j/vuIrpzHfa6cMYS1BEMqIJKDWh99//x0AkJeXh4ULFzrtj46Odqg8Xrx4Mdq2bYvdu3fj7bffRlBQEEaPHo3nn38evr6O61M+Pj7YsmULPv74Yxw+fBhff/01goKC8I9//APz589HaOifa81+fn7Yvn07Vq1ahe+++w7Lli2DVCpF8+bN8dJLLyE+Pt5J218rl1NTU+3bevXq5XIAe+jQoTh27Bi2bduGoqIiKBQKtGrVChqNBnFxcVAo/nQe0+l0SEtLA1DRv3vnzp1Ox9NqtbUGsO8FV95XTt3gAWwOhyMoubl/ZkxGRkbCZDLh4MGDGD58OMrKyqBQKJCfn89QYeODQqYtQMdqkQpDfVuzluBxzhqzWEsQhNPlt1lLEARvmfht+QDAl0g/xDwiVUdGK42FIX9vGok0RTbxW/y3IrJoayZSgR0mce7RyOE0dMKJ9GVVQPyuHgCgJlJR/4shk7UEjxNKoA0ZAFw10VgTjSKyllkfFi9ejMWLF9d5vEKhwOzZszF79uw6jQ8ICMDChQurDI7/leDgYLz66qt49dVX63TsK1eu1GlcXZk1axZmzZpVp7ExMTFuP78rx3flfeXUDg9gczgct1JdL4670Wg00Ov1UKvVSElJwZAhQ3jQuh7QeOykQ3uF+DOnAaAY4g+q2IhU0zdVqmsfJAKyiSTRFJppWNZRCez6yWn00Muw0Pj79CGQYHLbLHw7IRZQsRBPs+lYS+BwXOZSufgDgQCgVvixliAIPxffYC1BEIKUND5PCngTmO8BgJ5XYHM4nDogmgA2lUViDqeh4+VVe5a9Xq9HYmIiNBoNOnTogIKCAqYB7NnGxl3NEmfSsZYgCBT6PgKAv3huzTVyyij+hSEyi9PGAtYSBCFYTqMaRyVV1D5IBBQTsZMss9C4Tj8pjSrPYIn4ExJ85TR+g64aaPTxpNJ7lsp6FJXr7OHjfkvRhggVh4QrRNqpFFn1rCVw3ERnBQ2L4ZtEElA51VNcXAy9vubfLplMhuBgGoU+nKqhsUrO4XAaJHcHsi9cuMBaDofTICiB+PtbUoFK0gWVCmwqGeLlVhNrCYJAJbBLpdc3FTvmJgSCDYf0t1hLEIQiUylrCYKgVnJ7UDEhIXJPOVuaylqCIHTwiWItQRDSiSTbUkieDlLQSCjOtdFIRrAQSYriVM+iRYuwZ8+eGsdER0fj6NGjAiniNER4AJvD4QiKVCrFr7/+ioSEBOTk5NjtxPv164dff/0VxcXCZ+CtqYPteUPmUXkkawmCcMJCo1IlxXSHtQRBkBEwv7dA/IsIAJ0KbKWUxrSZirU2lQQTiYRGsCFQJv7KZABIsYq/UoXK3yaVwC6VJBoqgV0qxKpCWEsQBCrJmWFE+iZnGnWsJXic9PI81hIEIdyPRqC+1Nq43TA59WfGjBkYNWpUjWPq4vTKETc0VuI4HE6DoUOHDrh48aK98jo1NRVbt24FAMTFxdn/X6PR4MiRI4Jo0gRNEuQ8nmK0+lvWEgSByiK8r6RxJ1TUFQpBMr2NRkYxlQrsDFMhawmCQMUe1Gyj4XZB5TqNRK4zXCp+G9RMIoFAKZFAvZVARSBHfJQQaTPSUkHDklVH5PNso4pgLcHjJJfQcGkpJ5Jc4kuk1zenelq3bo3WrVuzlsFp4IgmgG0lskjM4YiBsLAwAIBWq0VCQoJ9e2xsLHr06CG4nja6g4Kf0520bsZagTBQqcihkoUaIRd/Jny5uYi1BEGgUoHdUUXD7UJGJHh00ZDNWoIgULl3BhBZALMSSDChYIEK0EnMjCWS5Pa7uYy1BEGgkuRmINJO5Y61nLUEQaDg/AUAhRbxf54U5kEAICcyf28qpVFpzuFw6odoAtgcDqfxEB4ebv9/lUqFhIQEnDhxgqEiDqfh4CNVsJYgCC2lfqwleJx0m461BI4buajPYi1BEPzl3qwlCAKVxeloIsGjbDONfsK9FeG1D2rkXCSyOE2Fm8Z81hI4HJcJltMIqoRJacz5zpens5YgCF5E1hEoUE7kOaVIQuM6ORxO/eABbA6Hw4zK/tcpKSkIDg6GyWRi0gP7KTTu6sGTEhrWX1R66JURsYv6zSz+Xt9UvrNULMRLiLgjUMn4p9KvNJ2IQwIV/msuYS3B4yglNJYoVBIagYYiIhWeVO4pVKDyeRpAw/FCLpGxliAIATLxJyTk2Wi0dCq26FlLEIRe8lDWEjgcTiOAxtMhh8NpUFRWXRcUVCyqRkZG4sKFC8z0LFyVw+zc7uAx0AhgB8pUrCUIQqmJRpDMTGTBhAJULMSp2GZSsZymQqQykLUEQdBbaSR/lRHp40mBUJn4+5kDdK7zYnkmawmCQCWwGyMTf6sjAMgjkmCiIBLAzjWJv31VgIKGOwIVq/Qc0Fj74nA49UM0AWwqi4ocjhjQarX2/9doNPYK7Px8NhZz0c9uZnJedzHp/TWsJQhCiplGkIwKQQQyxPU2boklJqKUQawlCAKVPoFZJhoVHKVEnAN0JhoW4i1UYawleJxck/BuTCwottH426TS05wKEcoA1hIEIcWYy1qCIPjJvFhLEIQcg461BEFo7hPBWoLHuVXeuItP6koLFY3K5BtmGs9jHA6nfogmgM3hcBonWq3WbiVeWZGdlZWFvLw8wTQ8a31JsHN5glNmGpPbEAIBTwAoIFLZkG2msUBNASoW4jcMwt2XWOItVbKWwHEjAVIa7iXFEhpVZBQSL6hYvV4nsggfrPBjLYHjRrKN4q/wBAAjEVcPiYTGcyeVql2TzcJagseh0qIrUELjeSyFSH96DodTP3gAm8PhNBhSU1Oh1+thNApbkTBb4PO5mx+IOFAUEOkD1FlOwxL+okXHWoLHKbCUsZYgCFQsxMMVNKqOAokkC13T0wgeFVlp3DsD5DRsikPl4l+EzyJggUoJCgEVjvgIVtJIvPAlkrRok9FYL8klUGl+v18z1hIEIYfIOkJz73DWEhoF7dq1q3bf/v370bZtWwDAmTNnMHXq1CrHBQUF4cyZM07bf/75Z6xbtw6XLl2CTqdDaGgounfvjpkzZ9qPCwDZ2dnYu3cvTp48iRs3bqCwsBBRUVHo1q0b5syZg2bNqv7b3LFjB7Zs2YKbN2/Cx8cHDz74IBYsWIAmTZq48hYAAC5duoRvvvkGp0+fxu3bt2E0GhETE4OBAwfiqaeeQkCA43rNo48+ivT06pMk+vbti40bN9Z63ps3b2L//v344YcfkJaWhtLSUjRp0gR9+/bFrFmzEB7u+D0+e/YsDh06hJ9++gkZGRkAgNjYWIwcORKTJk2CSkUjwdyd8AA2h8Nhjl6vR2JiIuLj46FWq3HixAlBz//E7LOCns/dqDCGtQRBoJIhTgW9ldtrcxoX5UQs4fVmGlVHUiL3lBIzjQC2mUiQrMgs/gVNHyKWts2I2IMWE0lApeEBwREb+WYa7TeoVNR7ycSfkJBccou1BEFo4xPFWoIg+ElpzPncQY8ePTBhwgSn7VFRzt+ViRMnonv37g7bvLyc3+sjR47gueeeQ7NmzRAXF4fg4GBcv34dO3bswOHDh7Fjxw578Pzo0aNYsWIF+vXrh/j4eAQEBODKlSvYsWMHDhw4gA0bNqBnz54Ox//www+xatUqdOvWDQsXLkR+fj42b96Ms2fPYteuXYiIcK3twdq1a/HDDz9g4MCBePzxxyGRSHD69GmsWrUK+/btw86dOxESEmIfv3DhQpSWOt/n9u3bh5MnT+LRRx+t03l37dqFrVu3YsCAAfj73/8OlUqFX3/9FV988QX27duHbdu2oVWrVvbxy5YtQ0ZGBgYPHownn3wSJpMJSUlJWLx4Mfbv349t27ZV+XlwqocHsDkcDnNycnKg0Whw4cIFJucfsPEhJud1Fyeb06jYldlo9GUNtNGwzmyhCGItweNcItI/jwpUrJj9iFTj3CSSROMjp/FwXEokSKaUiP/xnUrPZCORpAt/GY17Z5GZRgibSg/sMiJzhGKT+JOiADr3lZYEemAXEUlysxJxWfQjMK91F02bNsXo0aPrNLZLly51GrthwwYoFAp8+eWXUKv/bAvXtWtXPPfcc/j666/x8ssvA6gIoB89etSp2rh///54+umn8e9//xu7du2yb79x4wY+/fRTdOzYEZ9//jnk8orPul+/fhg/fjw+/PBDaLXaOl1PJZMnT4ZWq3WoYH7yySfxwQcfYM2aNVi/fj3+9a9/2fcNGjTI6RhWqxXLly+HSqWq8/s5dOhQzJo1y6HCe+LEiejSpQveeOMNrFixAsuXL7fvW7BgAbp3726/ZgCYMmUKFixYgAMHDmDXrl2Ii4tz6dqpI5pfCquNxo87hyNG7ty5A4VCgYCAANhsNhQXC9sb99j0k4Kez914S8aylsBxI5mSxm1pX1d+LL3JWoLHCVH4s5bAcSMyCY0kmgwzDfveUDkNe1C9jUjVkVTBWoIgUKgi66WKZi1BEG5ZhH3eYQWVCk8qUOmBTYVIFY1EeCouLbkm8d9Xggi0UgGAHCLtVKgkl7gLk8kEg8EAP7/an2PLy8shkUhqtKsuKSmBSqVCYGCgw/bKymhv7z9bi7Vp06bKYzz00EMIDAzElStXHLYfOHAAFosFU6ZMcQjk3nfffejZsycOHjyIt99+G0pl3ZPn/1pVXsljjz2GNWvWOGmoipMnTyI9PR2jR492shyvjvvuu6/K7cOHD8cbb7zhdN7evXtXq/PAgQN10slxRDQBbA6H03jp0KEDEhMTERcXB51OJ3gA+8s1vQQ9n7uJb+t675DGCBULcS/QCJK1845kLcHjZJvFv4gA0LFiTjXcYS1BEKgsJJRJDawlCAKVJF8qv0NyifhdWs4bslhLEAQqlckcTmNERSQpigp3jDSeySgk24bLaASwDURcIMqsNIo3Bg4cWOP+pKSkWo9x6NAh7Nu3DxaLBf7+/ujfvz+ef/55xMTEOI1dtGgRNBoNACAyMhKjRo3C3LlzHQLSQEXwecOGDXj55Zfx1FNP2S3ElyxZgqioKDzxxBO16iouLkZZWRnCwsIcticnJwOoqOb+K127dsXZs2fxv//9Dx07dqz1HLWRnZ0NAAgNrb09T2WVeFV27J48772M5/wJD2BzOJwGQ2xsLACgbdu2SExMtG/XaDQ4cuSIx87b2HtgU6nAloLG4rQBNIJHOeYS1hI8joTId5YKFCofOeKDSmA3hEhFfaGFhk0xBW7p81hLEIRgBY2/TY64oJI4TaUy2ZtAb2iAxrNnjoWGq0cJkdY4VBKnA1G/36BOnTph6NChaN68OYxGI3755Rfs3LkTJ06cwBdffGHvvyyXy9G/f388/PDDiIqKQn5+Pr799lt8+umn+PHHH7FlyxaHIPY///lPFBcX4+uvv8a+ffvs23v06IG1a9fWKdC6cuVKmEwmPP744w7bK4O1kZHOhSuVFd5ZWVn1DmCbzWasXLkSADB2bM1r43fu3MHRo0fRsmVL9OjRo17nBWC3Df/rtVdFSUkJ1q1bB4VCgZEjR9b73NTgAWwOh9Ng0Gq10Gg0SE1NtW+r/PfgwYOh1+tx4sQJhgo5LKHSB4hKBba/VPz9q4qtvMJTTFBZ/DJZaSxmUqhkBegkf2UZC1lLEASlVPyP7woif5utvcXfqxQAsonYoHLERYmZRvCIQsUuJfIN4p8L6WTiT4IH6MyFmnuH1z5IBCQl1a8g66uvvnL494gRI9C/f3/MmjUL7733HtavXw+gwmJ7zZo1DmPHjRuHZcuWYe3atfj8888xa9Ys+z65XI6oqCjcf//9eOyxxxAREYHLly9jw4YNmD17NjZs2OBkL343+/btw8aNG9G5c2fMnj3bYV95eUXSbVUW4V5eFWuBen3977Vvv/02kpOTMXXqVDzwwAM1jt29ezdMJpNbqq9Xr16NQ4cOYdCgQbUGzs1mMxISEpCeng6NRoMWLVrU+/zUEM0TsI1IYIPDERMajQZ6vR45OTn2bVqtFgkJCQ77dDodUlNT7TdAd8MtxBsHVDLhTUTuZ6UE7KKoBI6oQKXHboySRj/EEiIJJlSsFn8rS2ctQRAildUvIokFKj2Tr5Vns5YgCP5y79oHcTgNjFIzDbcLHzmNVgZUqjxLTeKf297nF8VagiDYiCSI623c4exeeeSRR3D//ffj9OnTMBgM9qBwVcydOxfr16/HsWPHHALYL730Ek6cOIH//ve/dgvwQYMGoXPnzpg5cybWrFmDf/3rX1Ue89ChQ9BoNGjbti3WrFnjFKiurPQ2Go1OfbgNhorfqpr6c9cFrVaLHTt2YMSIEXjllVdqHb9r1y4olUqMHj3aaZ9Op4PJ5GjdHxwcDJnMOZlk8+bNSExMRK9evbBs2bIa16rNZjMWLFiA77//HjNmzEB8fHztF8ZxQjQBbA6H0/jQ6/VITExEQkKCw3aVSoXU1FTodDoUFBTAaPRsoKuxW4irMIa1BI4buWWlkVUcRsDuNcvMq47EBJWEhBwi1XJyKY3Khkwzjb6P0V5q1hIEQS0Vf7BBpaCxRKEz0QjUU6kioxHupEOAgkbyV4QygLUEQaDi0nKfujlrCR4nvZxG+w1/hQ9rCYJAxRHLU8TExCA5ORk6nc5uy10VPj4+CAkJQX5+vn1bRkYG/vOf/2DAgAFO/asffvhh+Pr64syZM1Ue7z//+Q9eeukltGrVCps2bUJwsHMCfEREBK5evYqsrCw0b97cYV9N9uJ15d1338Xnn3+OUaNGYfHixVUGmu/m7NmzuHnzJoYPH16l3ueeew5nzzrGBpKSkpx6jG/cuBGLFy9Gnz59sGrVKqe+4ndjMpmwYMECHDp0CLNnz8YLL7zgwhVy7obG0yGHw2lUVFqJl5aWonfv3jh16hRsNhssFhq2phzaNJXSWDA5b8ypfVAjR0bEDp4KVKo3qAR2yy3id4EAaFhOA4CSyAKYgsB95QaRJBoOh9Nw8ZWJv9URQCd4RGUuxBEP3lIarasoFDV4kps3b0KhUECtrjmRt6SkBHl5eWjWrJl9W2UQuap1dpvNBqvVWuW+/fv34+WXX0b79u2xYcMGBAUFVXnOzp0748SJE/j111+dAtjnz5+Hj48PWrduXcsVOmOz2fDOO+/giy++wOOPP45FixZBKq39+WjHjh0AgPHjx1e5/+WXX0ZRkeMzyF8D+59++inef/999OvXDytXrqyx6t1oNOL5559HUlIS5s2bh+eee65WjZzq4XdxDofTINFqtfb/j4+Px4ULFzx2rsN7Vnrs2EIwWk2jKpBK9SMVC3EKUOnbLiVi719qEb8tHwBIrTQ+Typ9H802Gsl/VD5PnY3G7xCHw+GwpICIQwKVALbeYqp9kAjwlYnfpYUKUQrxt4wBgOSSW6wlNHgKCgqqDFAfOHAAFy9exIABA+z23VWNtdlsWLJkCWw2GwYNGmTf3qJFC8jlcvz8889IS0tD06ZN7fv++9//ory8HJ07d3Y41t69e/HKK6+gU6dOWL9+PQICqnfxGDFiBFavXo3PPvsMI0aMgFxeEYL8/fff8dNPP2Hs2LE1BoCrwmaz4c0338T27dsxceJEvP3223VqNVlYWIjDhw+jWbNm1fbJ7tSpU43HWL16NRITEzFgwACsWLGiyt7elRiNRsyfPx/Hjh1DQkIC5syZU6tGTs3wADaHw2lwVPa/PnHihCDny8/ZLMh5PIWNSA9sIjEV+IHGQgIFS0kjkZ5OViI9upp4BbGWIAhUPk8qAU8qRMloVHAUWPWsJXDcRHsfGn08qbjRFBHpmcwRF1SeVbxlNKpZfQlU7VLp2+5F5Dmlg29M7YOIs2rVKpw7dw4PPPAAoqKiYDKZcO7cORw+fBhhYWF49dVX7WNnzJiB0NBQdOrUCZGRkcjPz0dSUhKSk5PRs2dPxMXF2ccGBQVh2rRpWL9+PSZMmIAnnngCkZGRSElJwa5duxAUFISZM2faxx89ehSvvPIKVCoVxowZg2PHjjlpvbu3dMuWLTFjxgysWbMGU6ZMwejRo1FQUIBNmzYhNDQUzz//vMvvxZIlS7B9+3a0aNEC3bp1w759+xz2h4aG4sEHH3R63b59+2AwGDBu3Lg6Bbz/ytatW5GYmIjQ0FAMHjwY//3vfx32+/r6OiQHvPjiizh27Bi6deuGqKgo7N2712F8bGwsunbt6rIOyogmgE1lsY3DESMpKSlISEiwZ4sVFBR4tOL6rzT2Hti+ksdZS+C4EV6BLR4kRFwDqFRgU+mfxwO74oLK51looRE8KjGLP4DdyYdGYqaPeJZiOISIVNKoCqQy56PicFZupRGoT9XfYS3B43T1oRHwTDXT+A0qtYh/XltfevfujevXr2P//v0oKCiAzWZDdHQ04uPjMXPmTISEhNjHDh06FMeOHcO2bdtQVFQEhUKBVq1aQaPRIC4uDgqFwuHYL730Elq2bIldu3Zh06ZNMBqNCAkJwYgRI/Dss886VGVfvHgRVqsVZWVleOedd6rUencAGwASEhLQpEkTbN26FYsWLYKPjw8efPBBvPDCCzX27K6OyjjBjRs38PLLLzvt79WrV5UB7J07d0KhUODxx+9t7fz3338HAOTl5WHhwoVO+6Ojox0C2JU6z507h3PnzjmNHzt2LA9guwh/auJwOMwJCQlBYmIiNBoNMjMza+3fwXGEjE0xkQdsM5HPs9BcxlqCx/HjNm6iwkhk8ctCxHLaX+7DWoIgUOndrpTQeKylkDCUaixgLUEQ2ihDah8kAgyg8RtEBSqBXSpQaY9jsNKwEDdYjKwleJwL+kzWEgShjEDCIgCYiDx31oeBAwdi4MCBdRo7a9YszJo1q87HlkgkGDduHMaNG1fr2Oeee87lPs4SiQRPPPEEnnjiCZdeVx2ff/75Pb3ur5XarrJ48WIsXry4zuOPHj1ar/NxnKHxpM/hcBo0sbGx6NGjB2sZjZaHpKGsJQjCj1bxZxQDwC1LMWsJglBMIIDtI3Otpw+nYROk8GUtQRDKCSx+AYCNSLKQl1RR+yARQGURnkq/UgqcKaXR9zGQSLIQR1xQSVo0E7EQlxNJcqNAIZH+9L38W7KWIAg3DDTW+DgcTv3gd3EOh8MEjUaDnJwcAIBWqwUA6PV65OTkYOvWrRg+fDiKiopQXu55S8hLm095/ByeZEBLGovwVKrIqNBMFcZagscpt9HI9qfSxkVNZBG+FZGqwBvGfNYSBIHKvTNYQaMHdjEBq3QqzkItCMyDADr2/hxxQaX68T7/WNYSBOGmPo+1BEFo6i3++0oGAZt0ANATSS7x54515CktLUVZWe3FLWFh4v9941SPaALYVKooOByxoNfrER4eDo1GA71eb+9/feXKFcGrsW8HOPekaEwsDRG/nSRQYT9DgVIrjepHBcTfl5VKD2wq+EmVrCUIQoaZhgtElIJGH08FkR7YfxhoLE5TqAqUy2hUmRdbabgGUCGCSG/oPBONOYJMSuPemWHUsZYgCL5EXLGoWKVTIIfIby23EOds2LABH3/8ca3jrly5IoAaTkNFNAFsDofTONHr9VCpVEz7XvsYX2V2bndw0jqAtQRBoNIDm8p1UoDKZ0mhJysAFBCpIss00Og/28TXn7UEQdATWRgqI2IhLiOQkNDXK5q1BEE4a8xiLYHjRrKJ9Iam8BsEAH5yb9YSBIFK2xgdkQRxCt9bfwUNRywOhwpjxoxB9+7dWcvgNHB4AJvD4dwzSqV7qtH0ej0SExMdtg0fPhzZ2dluOX5tPDRRJ8h5PIX3d2NZSxCEACLVj1QqsDMJZPyriVjaRiuCWEsQhGv6HNYSOG7kkp5G8IiKE0SkMoi1BEHQE2hN8YeliLUEQeikpGGFqLPRmNdeMNNIcqNCCZHPUylVsJYgCFSSigMItDuikkSTpafR6qijbwxrCRzGNG3aFE2bNmUtg9PA4QFsDodzz3h5ec6KyWKxQC6Xw2KxwObh/qpHerX16PE9zfBjHVhLEIQCC41eZFT6lVII7lqJfJZpRhoVu3IJDVtbHyI2ixSsmAHAV0Yj+StIJv6qIwC4Zay9R1xjRyansThN4yqBQAmNABkVIpQBrCVw3IhSSmNJuIRIT3MzAdedYiLJJUEE1koAoJDIGh+Hw6kfopmt2IgsEnM4DR2pVIqEhATk5OQgPDz8no6h0WhQUFAAlUqFbt26QaVS2ftkX716FUajezP5E9664dbjCY3MZwRrCYJAJXM6Sk7D1jbdLP4KKyoBT6mERiCwlde93dMaG0YCi18AncQLLyLVVZkmGva9FBIvskzinx8AQKGUxqJtmNyXtQSOG8k20vj7tMGzCfQNhTtEPk8qWGwq1hI8DpXWVf4y8X+WAFBipdECiMPh1A/RBLA5HE7DoEOHDkhMTERCQsI9H6OyL3ZMTIWdzPnz59GhQwdcuHDBXTIduPBY47ZjbHeCRsDztqWEtQRByLGUspbAcRNWIotfVEgpp2E5TWXRNlwZyFqCIBisjXuOU1eaEmllcFsi/kC9UsKXKDgcDlsMRHpDexFp0eVNxI3Gm8DnWWyhUYGdQySZj8pvLYfDqR/86ZDD4TRIvLy8EBsbi9OnT8NqtSIxMRHx8fEA4PZAdmO3EB/1XUfWEgSBSgU2FbIN4q9+jPBSs5bAcSMKKY2KeirozDSShcIVNOxes4gkuVGowLZJaCTRBBHoVcrhNFaoJKGarDSCR1QC2CXcjlk0UGkrR8UqncPh1A8ewOZwOMxQqVRITU2t1mpcq9ViyJAhCAsLAwCo1WqoVCrcunULEokERUXuyUocfPaqW47DCm+MZS1BEKgsJFAJ1Ed5BbOW4HGofGepQCFwBABWG43vbbCSxoIJlQoOfyI9sCksaCqItN8wELmnmHgPbE4jJEYVylqCIJRZaNj35hh0rCUIQhvfKNYSPE6WUfxONAAQpKDRfkNnopFQzOFw6gcPYHM4HGZotdpqrcYrg9YAEB4eDo1Gg5ycHGzduhVxcXGIjY3FkSNHhJLK4QiGGeJfnAZoBHepWDFTCXj6yLxYSxAEmUTKWoIgUFm0pYKZSO92GtdJI+AZSKS/ZaiUxr3zCmsBAhFJpP1GMZFKViqBXSoUmMtYS/A4/DlFXMiJJC1yOJz6IZoANoWFcA5H7Gg0Guj1euTk5NirsisD2Xq93r6NB68doVKxSwU5aDyUeRGwYy4j0ntWKqHxG0QlIYHKQoIBNP4+vaQ0goFUngUpJAwFy2lUHSmJ/NbmWWkswlOBSvUjBbcLgE4wkMocIUevYy3B4wQqacwRqPSG9pXTcFCqDx999BE+/vjjGsd8//33iIiIwG+//YZ169bh8uXLyMvLg9VqRVRUFB5++GE89dRTiIiIsL/GZrNh//79OH78OC5cuIDs7Gz4+fmhRYsWmDp1KgYNGgTJXes8Z86cwdSpU2vUsXTpUowaNcph2+HDh7Fu3TpcvXoVCoUC3bt3xwsvvIC2bV1v5Xnz5k3s378fP/zwA9LS0lBaWoomTZqgb9++mDVrVrXurpVkZ2dj+PDhKC4uxj//+U/MnTu3zuf+9NNPcenSJVy6dAmpqamQSqW4dOlSteMvX76Mjz/+GD/99BNKS0sRHR2NUaNGYebMmVAqabS1cCeiCWBzOJzGj16vR2JiokNVdnh4uJPVuFarhVartY+Jj4+vV1/sw3tW3rvoBsBY3maX0wjRE7HO5IgHXyLVcnlGGpbTSimNxyAqSW5SIovwFL63+UT605dLaSTRBBGx9+eICwWBRFsAKLPQCOz6EJnDq5TiT1qk0tLJR07jO1tqLmctocEzePBgxMbGOm3PyMjAhx9+iI4dO9oD0zdv3kRpaSmGDx+OsLAwSKVSXLlyBdu3b8eBAwewe/du+1ij0YiXXnoJ7dq1w9ChQ9G0aVMUFBTgq6++wrx58zBp0iS89dZb9vO1atUKS5YscdJhs9nw9ttvw2w246GHHnLYt3PnTrz22mto27YtXnzxRRgMBmzZsgVPPPEEtm3bhnbt2rn0XuzatQtbt27FgAED8Pe//x0qlQq//vorvvjiC+zbtw/btm1Dq1atqn39W2+9BYvl3tys3n//fQQEBKBDhw4oKytDfn5+tWN//vlnTJ8+HXK5HHFxcYiJicGvv/6Kjz76CL/99htWr17tkBzAqR3xPwFzOJxGj1arxbBhw3DlyhX06NHD7ceXaJe7/ZhCYl3SkbUEjhuhkiFOYsJGoFIOAKIVQawlCMJNwx3WEgSBSjUOFahUYFOplqPieEGBNgoaGag6G40qMo64KCTSl7Wld0Ttg0TAzfIc1hIEgcIcgT+niAt/hQ9rCQ2e9u3bo3379k7bP/zwQwDAhAkT7NtGjRrlVAENAD179kRCQgJ27tyJefPmAQBkMhk2b96MBx54wGHs5MmTMXbsWGzbtg1xcXFo06YNACA0NBSjR492OvapU6dQVlaG4cOHIzg42L69sLAQixcvRmRkJLZt2wY/Pz8AwN///ncMHz4cixYtwmeffebSezF06FDMmjULAQEB9m0TJ05Ely5d8MYbb2DFihVYvrzq9f1vvvkGx48fx0svvYTFixe7dF4AOHLkiD2RYMqUKTUGsN99912YTCZs3rwZ3bp1AwA88cQTaNGiBT744AMcOHAAI0eOdFkDZXgAm8PhNGhUKpVHgtZ3Y9P806PH9zjqb1kr4LgRKgHsEJn4H1ayzcWsJQhCmrGAtQRBMBCxhDcSuc5ABQ0LwnxTCWsJghBE5POUEKmopwAP7HI4DZcghR9rCYJQZqXxO6SSebGWIAgUqpNjvIJrHyQCKKyVAMBvZemsJTRKLBYLdu/eDR8fH4wYMaLW8TExMQCA4uI/16fkcrlT8BoAfHx80L9/f2zatAlXr161B7CrY8eOHQCA8ePHO2xPSkpCSUkJpk+fbg9eA0CTJk0wdOhQ7NmzB5mZmYiKiqpVfyX33XdflduHDx+ON954A1euXKlyf35+Pt59911MnToVf/vb3+p8vrupqgq+KgoLC5GSkoIWLVrYg9eVjB07Fh988AG++uorHsB2EdEEsG1Eqpw4HLGi0WiQk/NnZqwQgetKhox9VpDzeArVMRr9wElU7IKO3WsJgZ6IMiL9zKngLeO9isSEPxFb22ILDWs+Ks+CFCrNqVRXUfnOmokkZnLEhYqIe0mWgUYSKpXf24cDag40iYHz5TQCnhSq6QGgt28z1hIEYeDAgTXuT0pKcul433//PbKzs/GPf/zDIThcSXl5OcrLy2EwGHDt2jW8//77AID+/fvX6fjZ2dkAgJCQkBrHFRQU4Ntvv0WzZs2cguHJyckAgK5duzq9rmvXrtizZw9+//13lwLYtekNDQ2tcv+iRYvg7e2N+fPn4/fff6/3+WrCaKxIDPP2dl5rqNyWnJwMm81GZo3bHYgmgM3hcBo3er3e3uO6oKCgXj2tXSUlTrBTeYQxJwJqHyQCUi00qlmpBLBNBBbhqVTTU8GHSPUGleukEtil0rud/96KByptKfIsZawlCALvgc1pjFAJ7FKpNC+30Kg0/88dzwZmGgJtA6JZSxCEW+W5rCUIQoZUx1qCIDRFoFuPV1n1PHHixCr3r1u3Dh9//LH93zExMfj3v/+NPn361Hrsixcv4siRI2jWrBm6d+9e49i9e/fCaDRi3LhxTsHYyqByZGSk0+sqt2VlZdWqpy5U2oY//vjjTvuOHz+OAwcOYO3atfDx8byzQWhoKNRqNf744w/k5uYiLCzMvu/MmTMAgLKyMhQWFiIoKMjjesQCD2BzOBymqFQqpKam2oPXABAVFWUPYAcHB9fYW8IdzB30kEeP72lOmavOMhMbVLLTzBB/YBegUUVGhaZKIn08rXrWEjhuRCmh8Rhk5b+1osJss7CW4HFaSGnYwf9CJICtIFJRzxEX7XyasJYgCFmmQtYSOG7k/sDmrCV4HBORtZIILxrP1yopjeexpCT3tX3MycnB8ePH0bZtW9x///1VjhkzZgy6d++OkpISXLx4EUePHoVOp6vTsefNmwepVIqlS5dCoajZjWTnzp1QKBRVBo7LyyuSxZVKZxe7ym16ff3XV1avXo1Dhw5h0KBBGDt2rMO+kpISvPHGGxgxYgQefvjhep+rLkgkEjz11FN4//33MXfuXLz00kuIjo5GcnIy3nvvPSgUCphMJrdcOyVo/FJwOJxquTsbiAVarRYJCQn2f2s0Guj1evTr1w8pKSmwWj0/QdUETfL4OTzJaN4DW1RQqcAGgQVNKkH6dJOOtQSOG6FifU+l0pxKZXKesYi1BEGgYK+daxN/ixEAUBFJogmT0PitbesdwVqCIJQS6ZlcSMSlpdBUylqCIFCxED+Ve5m1BI8T5UejB3a4VxBrCYJQKsB6r9jYvXs3LBYLJkyYUO2Ypk2bomnTpgCAIUOGYODAgXjiiSdgNBoxa9asKl+Tm5uL+Ph45Obm4sMPP6w2OF7JuXPncO3aNQwZMqRK6+5Ku+xKS+27qdymUtXPKWzz5s1ITExEr169sGzZMqeipyVLlkCv12PhwoW1Hkun08FkMjlsCw4Ohkwmc1nXzJkzYTQasX79ekyZMgVARdD+mWeewdGjR/H7779Xaf3OqR7RPDVRWZzhcNzN3ZXPrFGpVMjMzAQAqNVq5OXlCXLext4D2/s7GgFsKoFdKteZbyphLcHj+Mu5baaY8CLSDzGj/A5rCYLQxLvmnl5igcqirVzi+uJCY4RCAPt/Rhq/QWFyGgtXd4gkJFAhy0ijYjdIQcMJor0vDTvmy6U0+iYr5eJ/VqGy9l9OJFlIQmTty13YbDbs2rULKpUKo0ePrvPrOnfujJYtW+LLL7+sMoCdnZ2NadOmIT09HStWrMCjjz5a6zF37twJANUG0iMiKhL7srKy0KpVK4d9ldbhVdmL15WNGzdi8eLF6NOnD1atWuXUc/rixYvYsWMHnnnmGZSUlKCkpGL9sdLavLCwELdu3UJISAj8/Pzw3HPP4ezZsw7HSEpKQkxMjMvaJBIJ5s2bhxkzZuDq1aswm81o06YN/P398fnnnyM8PJwHsF1ENAFsDofT+NFqtQAqqrDPnz8v2HkHbGzcFuI/NCeyCE9kcisnsDgNABFK8fduL7HQWLS1EgmQUQk2xPi7t0dXQ+UPozBJcqyhknhBwVobAGwEFm4f9mrOWoIgnDBmsJYgEDQCgX/oafQrpZBEAwAB0vpVhTUW0o00en0HEklIMFvFPxeikuzfwotGm0AqCQnu4tSpU0hLS8Po0aMREODaepper0dhoXMSWlZWFqZNm4bMzEysXLmyTlbbJSUl+O9//4vo6Gg8+OCDVY7p3LkzvvzyS5w/f95pzK+//goAuO+++1y6hko+/fRTvP/+++jXrx9WrlwJLy9nt5/MzEzYbDZ88skn+OSTT5z2b9q0CZs2bcJbb72FSZMm4eWXX0ZRkaOjV30da1UqFTp37mz/9++//478/HyMHz++XselCA9gczicBkelrfjVq1ft2VGc6qEyiafSA1tvNdU+SAQoCNgUU/nOUumBfZvIIp/eQuQ3SEqjYrfETKO/lrfMub+aGKHQu/0Pq/gdWgDAT0rDWpuKOwJHXFCxEKfSToUKAb4+rCV4nPRyGgmoJiKtyIqsNJ5T3EVtVc+5ublVBl2TkpKQlpaGhx5yLN7KzMzE1KlTkZubi9WrV6Nv37510rF//36Ul5fjH//4B6TSqtf1Bg0ahEWLFmHnzp2Ij4+3VxxnZGTg4MGD6NWrF6Kioup0vrtZvXo1EhMTMWDAAKxYsaLKHttARXB8+fLlTtuvXbuGjz76CMOHD8eQIUPQsWNHAECnTp1c1uIKer0e7733Hry8vPD000979FxiRPxPwBwOp1FR2QO7MiOrX79+OHHihEfPuXBVjkeP72lGgkZ2JhVi5OKvTAaAn0tuspbgcSK8aAR204gEdqlUeIYRcEcAgEJzGWsJghBMpOooy6BjLUEQ9BLxJ5i0UtJwFioCDZeWVGM+awkcjstQqQosIjIXKjbRuE4KfZOp/G1See7k1J38/HwcOXIELVu2RI8ePaocM2vWLAQEBKBr165o0qQJysrKkJycjEOHDiEoKAgvv/yyfWxJSQmmTJmCtLQ0jB8/Hrm5udi7d6/D8bp162bvpX03O3fuhEwmw7hx46rVGxgYiH/961948803MWnSJEycOBFGoxFbtmwBALz66qsuvwdbt25FYmIiQkNDMXjwYPz3v/912O/r64tBgwYBqLAwHzZsmNMxzpw5AwBo3bp1lfur4+uvv0ZGRoV7Unp6ur26u5K5c+fa//+XX37B0qVL0a9fP0RERCA3Nxd79uxBeno6/v3vf6NFixZ1v2gOAB7A5nA4DQy9Xo/ExEQMGTIETZo0AQD4+/ujWbNm9jEXLlxw6zkHn73q1uMJjbdkLGsJgkCl0jzDXMxagiDIpeKfglB5wJYSqTS3WGlkwt8qb9xJXXWFip2kzlzKWoIg+MppVJFRsIQXvz9LBRYi1VUKIhXYNOp16eBFwO0CAPxkNKzSy4m0dco3iX8dgcqakJFIALvUwiuw68revXthMpmqrb4GgPHjx+PIkSPYtWsXdDodZDIZoqOjMXnyZDz99NP2vtQAoNPpkJaWBqAiIF1Z3X03Wq3WKYB98eJFXLx4EQMGDHA4XlU88cQTCAoKwvr167F06VIoFAr06NEDzz//PNq3b+/K5QOosOAGgLy8PCxcuNBpf3R0tD2A7W6++uorpx7Zd1d43x3AjoiIQFBQELZt2wadToeAgAD06NEDiYmJ9opvjmuIZlZmI9J/kcOhQlhYGDZt2gQAiI+Ph1qt9lglNu+B3Tig0gObStAzShnEWoLHKbeJv1IOoNMDO1xJoze0iciCSbGZRrghgkhFPZXfIZ1F/FVk+VYagQa9zcxaAofDqYY8AoFAgE4ijZxIQkJTVTBrCR4nz0SjzUgJkcBuKyV3k6wr06dPx/Tp02sc8+STT+LJJ5+s0/FiYmJw5coVl3V07NjRpdcNGzbMpUrnmli8eDEWL15cr2P07t37nq77888/r/PYmJgYrF692uVzcKqHxl2cw+E0CjQaDXJyKiq/wsPD7XbiWVlZbq+6vptj00967NhCoMIY1hIEgUo/YR+Iv7oKAP5XlslagseJUNGwEKdCudXIWoIgUOmZTKUHdraxiLUEQaDiBCGTiL8+OYhIb+j/lWexliAIXXydrSfFyAUiSVFUCFX4s5YgCPlmGsFAmU38904qFJloOAs96N+KtQRBKCaS8M/hcOoHD2BzOJwGg16vtweuPd33WkxQCexSgcLiNAC08YliLcHjlBIJeFIJHCmJVG/4yWnYSRqtNKoffWVK1hIEoYDIgiaFOYKCiIl4a++abRfFwh+GPNYSOByXuV5GI8HEh8icj4pLy+m8xt0ary6E+tBwFsoh4LgDAGU8gE0evV6P4uLaXU+Cg4Mhk9FIQOc4Q2MljsPhNBpUKhWOHj1qvzFZLDSsTOsDlT5AVCi30pjEU7BKp3CNlKAQOAIAm5XG9zaMSHWVN4GeyQBgJGLHrLeIf45w2ZjLWoIgULHuDZR5s5YgCOUWGkmLkUTaqVDBTKRtjFrhy1qCIJR40Qh6UoBKSycqSYuc6vnPf/4DjUZT67ikpCTExMQIoIjTEBFNAJtKRh2HI3a0Wi369OmDwMCKh2ODwVCnbCzKUAmS8UC9uIiQ+7GW4HEyTDSse6lAJdjgRSTgmUukv2Wg3Ie1BEEoNdPom0wlkYYCCqlolmJqxFdKwwWCClnGQtYSBMFG5PlaQuT5utRCY47AEQ/8OYVDhYceeggbN26sdVxYWJgAajgNFRpPTRwOp1GhVCphtVpx+PBhex/sU6dOQSKRwGRyf+XJ4T0r3X5MIRkVROMB20rj+Rpm0AiS2QgknlmIfJZUkgipJAtRWbSlUoFtJpJ4EaigsQBGoVqOym9tlJzGb1AukR67HE5jhEpypkJKw3Y2UCn+BHE9kWQEJZEktwAZjTYGnOoJDw9HeHg4axmcBg6NX0QOh9OoiImJQW5uhX2gXq9HYmIiRo4ciU6dOuH06dMA4Naq7CFjn3XbsVigOnaEtQSOG6FSqXKu9BZrCR4nyiuYtQSOGzEQsffnFdjiIlhOwzaz0ETDNlMqEX82n7+chuV0polGJSsVG1SOuCgw0JgjUAh4AoDOSCORJtwriLUEj1Nm0bOWwHEjSgmN5BIOh1M/eACbw+EwR6VSITU11Z51FR4ebg9gV9KpUyekpqbi2LFj6NGjh1vP39grsMequZ2kmCi10uihF+GlZi3B41CpImuqFP9nCQASAoEjACgnEqgvJbIApiCyMEQhsAvQsBCn0jIm30QjoBKsoBEgCyTSG5pK8pdCRmOp1ERkzkdlDv9HcSZrCR4nyItGYiYFxx0AOF98k7UEDofTCKAxK+NwOMyptALPyclx2qfVapGQkFDj67VaLTQajduD10Djr8D2/u5b1hIEgcqCJpXr9Jd6sZbgcYqtNCzO8iylrCUIAhV3BD8Cf5sAnb6PBRYalclUWhlIiCRGUSBUGcBagiCYrGbWEgSBSm9oCkk0ANBEFcJagiBkGwpYS+C4kTKT+J89A7xotIwpM9NItA3xojEX4nA49UM0AWwq/fo4nMZKpRV4bYHqmtBqtdBqtYiPj8eFCxfcqI7DaTh4E7HvpVJpTgEq1toU+rYDQLaxiLUEQYj1orE4TSWAzeE0NqgEdjmcxkgZkT67QUQcEorN5awlCIKcSK9vClD52+TfWQ6HUxdEE8DmcDjiQaVSwWBwfGisrOCuJDQ0FHl5eUJLa5DEyvxZSxCE2xYaVotUArsUAvUmCw3rr2hFEGsJgpBmpFGlQiUp9LYxn7UEQaDS05yKhTiF66Tync0kUvlIxUKcIy6o2PcaiSTSGIkk2zYPiGAtweP4yGg4RVFJEJfZaLh6cDic+sED2BwOp8Gh1WoxZMgQh22VFdwajQZZWVm4c+cOI3UNj1QLjV5kVKy1qVzn9XLndgJig4o9aLpJx1qCIJRbaCSXUAlge8toWMJTcQ7gFuLiIYBIGwPxdyqtIExOI4Atl9CoIis003D18Jd7s5YgCNl6Gok0VJ6vLTYrawkeh8rzGIXPEgC8pOKf17qDkpISrF27FocPH0Z6ejpUKhWaNWuGyZMnY/To0QCARx99FOnp6dUeo2/fvti4cSMAwGAwYN++fTh+/DguX76MnJwcqNVqtG3bFk8//TQeeOCBKo/x008/4aOPPsLvv/8OALjvvvswf/78Klt93rlzB+vWrcOxY8eQmZkJX19fNG/eHE888QRGjRrl8ntw9uxZHDp0CD/99BMyMjIAALGxsRg5ciQmTZoElUplH2uz2bB//34cP34cFy5cQHZ2Nvz8/NCiRQtMnToVgwYNgqSOScGlpaXYuHEjLl26hJSUFGRkZCA2NhZHjhypcrwrnwOn7vAANofDaTRoNBpkZmbyymuOqLESWJwGgAivINYSPA6VwBEV/OSq2geJADIZ/0T6eFK5TgqVyQCd6+SIh1wzDQelIiIWxVTuKVTm8D5E5rYlRP4+bxZmsZbgcToEx7KWIAh6Av3MAeCOkUZCQn3Izs7G1KlTUVBQgLFjx6J169YoLy/HzZs37YFcAFi4cCFKS0udXr9v3z6cPHkSjz76qH3b7du38dprr6Fr164YM2YMIiMjkZWVhS+//BLTpk3Diy++iJkzZzoc58SJE5gzZw4iIiIwb948KJVK7NixA9OmTcPatWvRt29f+9ji4mKMHz8eeXl5GD9+PNq1a4eSkhLs3bsXL730Ev744w+X24suW7YMGRkZGDx4MJ588kmYTCYkJSVh8eLF2L9/P7Zt2wYvr4okWKPRiJdeegnt2rXD0KFD0bRpUxQUFOCrr77CvHnzMGnSJLz11lt1Om9BQQE++ugjhISEoEOHDtDpdDWOd+Vz4NQd0QSwqUwwORyqpKSkICQkBLGxsTCZTNi6dSs0Gk21WU+ucHjPSjcoZMdYNV/MFBM8Q1w8UElGoAKF7yxAp5KVyudZbqOxMCQhcu+kUOUZRKQCmwpUfms54qLA5Lz4LEZKTDQq6iO9g1lLEARlgPhbcOQbabgPxqhCWUsQhBxjIWsJDZ5//etfKC0txd69exEVFVXtuEGDBjlts1qtWL58OVQqlb1SGwCCg4Oxe/dudOzY0WH8hAkTMHLkSCxfvhwTJkxAYGAgAMBiseDNN9+EUqnEli1b0KRJEwDAmDFjMHz4cLz11ls4ePAgpNKKJLeDBw8iPT0dr7/+OiZPnmw//qRJkzB48GBs377d5QD2ggUL0L17d8jlf4Yyp0yZggULFuDAgQPYtWsX4uLiAAAymQybN292qiSfPHkyxo4di23btiEuLg5t2rSp9bzh4eH47rvv7O99bQFoVz4HTt0RTQCbw+GIG6vVitjYWGRmZiIzM7NKixKqUAmSUQnsUkElFf8UpIxIJSsVqFQdUQk2KCD+QCBAp58wlQC2ksK900ajJyuVNiMhMh/WEgThD0suawkcN0IlsBuqCmQtQRB0JhpOEGFK8X+eWQYatvfFFhquAUEKX9YSGjS//PILTp8+DY1Gg6ioKFgsFuj1evj61u19O3nyJNLT0zF69GgEBPw571Sr1VCr1U7jw8PD0bNnTxw5cgQ3btxAly5dAAA///wz0tPT8fjjj9uD1wDg7++P8ePH4+OPP8a5c+fs6/TFxcX2492Nt7c3/P39odfrXXofAKB3795Vbn/sscdw4MABXLlyxb5NLpdXaYPu4+OD/v37Y9OmTbh69WqdAthKpbLGxIG6UN3nwKk74n8C5nA4jR6NRgODwQCtVgsAGD58OIqKitx2/CFjn3XbsVjg+10SawkcjsuYiATJKBCtCGItQRBuGu6wliAIAUT6PhqJBMkoVOwCdCrNjVbxf2/TTTSqcfKJBFRMcvF/ZzmcxgqV5C8qyZl/FGeyluBxfJU0bO/LzK4H+BojFhmNv82BAwfWuD8pqeo13ePHjwOo6PX83HPP4dixYzCZTAgLC8OTTz6J2bNnQyar/llv165dACoqq+tKdnY2ACAkJMS+LTk5GQDQtWtXp/GV237//Xd7ALtv376QSqVYtmwZlEol2rdvj+LiYmzfvh23bt3Ce++9V2c9ddUbGlo314Kqrs/T3MvnwHGEB7A5HE6DJCwsDBqNBjk5OQgPD7f3stBoNCgrK0OnTp2gVqtx4sSJep+r8VuIs1bAcSdeBKqrAKDIIv6HMioVu1SwEXG7kBDpsask8hhE5XtLpTc0v69wGhv8O8tpjChkNOYIZRYafXap0NwvgrUEj3PH6L5CloZMpIqG7b2OSLuGe+WPP/4AALz66quIiYnBu+++CwDYtm0bli9fjszMTPzf//1fla+9c+cOjh49ipYtW9bZwfTo0aP47bff0KtXLzRt2tS+vTLoGxHh/BsTGRkJAMjKyrJva9++PZYuXYp///vfmD17tn17YGAgVq1ahUceeaROemqjpKQE69atg0KhwMiRI2sdf/HiRRw5cgTNmjVD9+7d3aKhNu7lc+A4I5pZGRULXQ6HCuHh4dDr9U6WI3q9Hs2aNcOFCxfcdi6tbpvbjsUCS3Ma/XGoBFUUoLHQR8ESnkq2f56FxoMnlc+zhEjGv0JKozIZNL62ZP4+KQQDqTzXU7H3p0IEAeteAMgz0eg/a7PR+B2igpdUyVqCIJTyhATRQKX9RpCURkX9f5P+e0+vKy2tWGfx9vbG1q1boVRW/JY99thjGD58OHbu3Inp06ejZcuWTq/dvXs3TCZTnat+r127hpdffhmBgYFOFdLl5RWW9pXnv5vKYrPKMZWo1Wq0atUKI0aMQLdu3aDT6fDFF1/gn//8Jz7++GM89NBDddJVHWazGQkJCUhPT4dGo0GLFi1qHJ+Tk4N58+ZBKpVi6dKlUCiEmYe7+jlwqkY0AWwOh0OHyv4T7gpi50accctxWCHxGcFaAseNFFn5gyencWEg0uubSrCBQo9dgM73lopVupVIsIHCdVKpplcRuaeYbBbWEgShyEjD+p5CEg0AhHsFsZYgCFQCnt4yGgFsCgniZQRc3AAabnUAoCfynHKvqFQVAf6RI0c6BI+VSiVGjhyJlStX4syZM1UGsHft2gWlUonRo0fXep7r168jPj4eVqsV69evd6i+BioC6ABgNDq3bDIYDA5jgArr8zlz5uCNN97ApEmT7NtHjBiBESNGYOHChUhKSrrnILLZbMaCBQvw/fffY8aMGYiPj69xfG5uLuLj45Gbm4sPP/wQ999/v8P+/Px8WCyO89WwsLB70vZXXPkcONVDY4WKw+GIAo1Gg19//RUA0KVLF7cd98JjjXsRW3VM/IuZAJ0KbCqVR+2UwvWcYcUVI42eyRQCKgCdgCcVy2ne91FcUPnemgkEA61EliioJEVR+M4CQHntQ0QBlQQTKpiIzG1LzTT+QikkXlC4RgBI0+exliAInXyb1j6IMJX23FUFUyu3FRY6J9CdPXsWN2/exPDhwxEcXLMd/bVr1xAfHw+DwYCNGzeic+fOTmMqrcMrrcTvptI6vFIrAKxfvx5WqxXDhg1zGOvt7Y3+/ftjy5YtuHnzJtq0aVOjtqowmUxYsGABDh06hNmzZ+OFF16ocXx2djamTZuG9PR0rFixAo8++qjTmHHjxiE9Pd1h25UrV1zW9ldc+Rw4NUPj6ZDD4TR6wsLCoNfroVAo0KRJEyQnJ7vt2I2/BzaNTHgqyIlYiF8zFbCWwHETVBYzqVRvBBGxrMs307C+p/K9lUtoWMJT6BVIoYIMAHKIVOwGymncU6hAJWmxlIgjVoDCl7UEjhuhUFFPpQLbT+5d+yARcMNAI1B/r3Tp0gXbtm1DZmam077KwHFIiHNhyI4dOwAA48ePr/H4V69eRXx8PCwWCzZt2oSOHTtWOa4yqH3+/HknK+zKIrP77rvPvq0y0G21OidSm80VVfd/rXiuC0ajEc8//zySkpIwb948PPfcczWOz8rKwrRp05CZmYmVK1fi4YcfrnLc0qVL7ZXk7qSunwOndngAm8PhNAoqe2GHhYVh06ZNdosQd/bCbqxQqdilApXPU0ZggdpE5LOkgt5Co0ol3yb+ABlAJ6hCpQK7jEiwIVAh/u8tld6zrb0jWEsQBCrJQhxxQcUqnYpDgtFKw6Y4VBnAWoLH0ZfTmO+FK8T/WQJAMZGEhHtl4MCBCAgIwN69e/HMM8/Az88PQEVv7D179kChUDj1ki4sLMThw4fRrFkzPPDAA9Ue+/Lly/Z19c2bN6N9+/bVju3Zsyeio6Nx8OBBzJ8/397Ws6SkBDt37kTTpk3RrVs3+/g2bdrg5s2b2L17N2bOnGnfXlRUhKSkJPj5+VVpe14TRqMR8+fPx7Fjx5CQkIA5c+bUOD4zMxNTp05Fbm4uVq9ejb59+1Y7tnv37i5pqQt1/Rw4dUM0AWwqD7ocDnUqA9mbNm2CRqOBTqeDXq9HXt69Z+4NGfusu+Qxwfu7b1lL4LgRbyKWkhT6OlGpIqNig0oFlZRGxW6xhYadJJUANpXFaQrX6SdTsZYgCDywy+E0XIrNZawlCAJfRxUXNoU/awkcN1FI5DmFSguge8Xf3x+vvvoqXn75ZYwbNw7jxo2DRCLBV199hezsbCQkJNiDyZXs27cPBoPBPrYqMjIyMG3aNOh0OsyaNQtXrlxxssx+8MEHERoaCgCQyWR488038cwzzyAuLg5TpkyBQqHA9u3bkZeXhzVr1kAq/TPxa/bs2Thx4gTef/99XL16Fd26dUNhYSF27NiB3NxcvPbaaw49vevCiy++iGPHjqFbt26IiorC3r17HfbHxsaia9euACoC61OmTEFaWhrGjx+P3Nxcp/HdunVz6vVdHVu2bEFRUREAoLi4GFKpFJ988gkAICAgAJMnT3Z6TV0+B07dEU0Am+M+DAYD9u3bh+PHj+Py5cvIycmBWq1G27Zt8fTTT/PMEY5HUKlUSE1Ndek1Wq0WGo0GKSkp6NevH06cOOEhdRyOcJQT6UUWJRf/A3amuZi1BEGg0huaQuAIAIpNNBZtfeQ0gmRUen1zOI2NMLkfawmCkGsuYS2Bw3EZk4XGnC9QSeN3iEoPbKONxveWAkUEWsYAQCufyNoHEWfMmDFQq9VYu3YtVq5cCavVirZt2+KDDz7A8OHDncbv3LkTCoUCjz/+eLXHTEtLg06nAwB8+umnVY757LPP7AFsAHjkkUewYcMGrFy5EitWrAAAdOrUCRs3bkSvXr0cXnvfffdh+/btWL16NU6dOoVvvvkGKpUKHTt2hEajweDBg119G+zuq+fOncO5c+ec9o8dO9YewNbpdEhLSwNQ8X7s3LnTabxWq61zAHvDhg1OPbKXL18OAIiOjq4ygF2Xz4FTd3gAm+PE7du38dprr6Fr164YM2YMIiMjkZWVhS+//BLTpk3Diy++6GABweG4A61Wi4SEhFrHFRQUoG/fvjAajQ7bb9++7SlpnAYClWpWKlAJ7nLEA5WqwCA5jX6IVCqw/Yn00DMYaSTScMRDlqmItQRBCCZyTykiEiCLVAayliAIVKy19QR6JgMgU/12rSiDtQSPE+RF455ChVT9HdYSGgWPPPIIHnnkkTqN3bdvX61jevfu7VRxXRceeOCBOhc1tm/fHh9++KHL56iOo0eP1nlsTEzMPV2fO85dSV0+B07d4QFsjhPBwcHYvXs3Onbs6LB9woQJGDlyJJYvX44JEyYgMJDGwwunYREVFYULFy5AoVDAZHLPYuXhPSvdchxWjFazViAMVHpDU0EhkbGW4HF4Fry40BOpNC+z0KiWC1GK3wUCAHREKjisRGxQJXwuJBoKiVgU8/m7uMgyFrKWIAhFRhr3Ti8ZjTZAVKzSy0ziT0hoGxDNWoIgUEm6KCTi/MXhcOqHaALYVBYthECtVkOtdo6IhYeHo2fPnjhy5Ahu3LiBLl26CC+OQx6tVovvv/8eDz/8MI4cOeKWY/Ie2I0DKhXYVK5TRuChTAoai0IG0AjsUki6AIBAuQ9rCYJAxfo+QhnAWoIglBH5PKkkJFAglMjfpolI+w2OuIj2Ca19kAgoMetZSxAEi83KWoIg+Ci8WEvwOFmGAtYSBCGMiNuFlMCaEKd6iouLodfXfB+SyWQIDg4WSBGnoSKaALZYGThwYI37k5KSBFJSQXZ2NgAgJCRE0PNy6FLZGzs2NtbeI7t58+bQ6/UYPHgwMjMz7b0w7pXGXoE9Vs0nfRxOQ8TAK7BFRSkRm0UqtpneMiVrCYKQZ6JRUV9uMdY+SATIJFLWEjgcDkf0pJflsZbAcSMKGV/65jQudETm71SSSzhVs2jRIuzZs6fGMdHR0fdk4c0RF/wuzqkzR48exW+//YZevXrVudE9h3OvVAaut27dioSEBIce2ZXB7PDwcGzatAkAoNFocObMGRQV0egndzfcmk9cUPk8DQQqcqhU01NBRcRmUSmh0TOZiiW8UkrjcY9KRT2vVBEPeUYazyzBCj/WEjgclwlU0vjeUumBTSVI1jqgCWsJHifPQKONgUom/mp6DmfGjBkYNWpUjWO8vPjfAocHsBs89amw/uijj+o8tlevXujdu3e1+69du4aXX34ZgYGBeO+99+5ZE4dTV+4OWFe1b9iwYQAqAtf1rcLmFuKchgSVoCeF66SSjECFUjONRb5yCY1KViqBXSqLtnIiFv+8ApvT2DARcfXgiAsqSYsBchpJi5n6fNYSBCGtLJe1BI9DpW87lfk7n9fSpnXr1mjdujVrGZxGgGhWbmy8B7YTH3/8cZ3Hzps3r9oA9vXr1xEfHw+r1Yr169fz6mtOg8BqtSI8PBx6vR5RUVHQ6XS4ffv2PR2rsVuIj3ZuWS9KKAQ8AcBbSuOhzGoV/33byhdtRQWVB2yFlEYgkAo2Iok0fKGPw2mYUJm/c8QFlbYU2UYa/YQjvWn0T71DxNmDAlSSS6g4YnE4nPohmgA2x5krV67U+xjXrl1DfHw8DAYDNm7ciM6dO7tBGYcyKSkpSEhIQE5OTr2OExYW5mAzrtFoEBQUdE+V2LwCu3FApZq1nMgknlfkcBobVHomUwkEUvk8y4jYg1KpqOcW4pzGBk+64DRGyoncO1VyGnOhAmMxawmCoCSQCG8m0IYMAIrM5awlCAKVRFsOh1M/aDzpc+6Jq1evIj4+HhaLBZs2bULHjh1ZS+KIAKvVisTExGrtwetKeHi43WZco9FAr9cjNTX1no7V2Cuwx6r5YiaHw+F4Gi8Ci0IAYCUSwKYS2KXyvS0mstBHIRiolPElCg6HwxECvZlGpbnay5+1BEHIKL3DWoLHCfLyZS1BEKg4YuUbaCSXcDic+sGfDjlVcvnyZcTHxwMANm/ejPbt27MVxOH8BZVKhR49erCW0SCgUplMxYKQioV4Wqn4e3Q1UYWwlsBxI2YirgFKCY3HAwmRewqVeycVqPT65nA4HA7HXZQQSXLjCWDiIVpJo08glb9NDodTP/jdjeNERkYGpk2bBp1Oh1mzZuHKlStOduQPPvggQkNDGSnkcACtVgutVguNRoPMzEwAuCf7cKDxW4j7fpfEWgLHjRiI2GLJidi9csQDFWvtXBON/nlULMSpJLlZbTSu00hgjqAikshHBSr3To64oGDFDAAmi/jvKZTQ6UtZS/A4Kj8a8/d0Iv3p/eU+rCVwOJxGgGhWj6kszghBWloadDodAODTTz+tcsxnn33GA9gcwansn52SkoK8vDy3HbexW4iPVtP4/aNSRUblfkbBBpXKZ0kFKovwFP42ATo916h8nr5yL9YSBIGCJbyNSDJCqDKAtQRBoNKWgiMujFYTawmC4KegETzyk6tYSxCEyBDxV+3mGHSsJQhCmVnPWoIgqGQ05u8cDqd+iCaAzXEfvXv3dqq45nBcRaVS3XNP6uqIjIwEAISEhCAyMhJqtRrJycmw2WwoLr733imNvQLb+7tvWUsQBB4M5HA4LKESCDRYafRDVEi9WUsQBCrBQA6nseFDIBkBAEosBtYSOByXCVbS6JlMBQruJQBgltBod0SBpioaBWN3zCWsJTR4PvroI3z88cc1jvn+++8RERGBs2fP4tChQ/jpp5+QkZEBAIiNjcXIkSMxadIkqFTOyTxHjhzBxo0bkZKSApvNhjZt2mDatGkYMWJElecyGo347LPPsH//fty6dQsymQwxMTEYO3asvRUtAJw5cwZTp06t8hhBQUE4c+ZMHd+BP3H1+tq1a1fj8caPH49333231vNeunQJ33zzDU6fPo3bt2/DaDQiJiYGAwcOxFNPPYWAAMek1KNHjyIpKQm//vorMjIy4OXlhWbNmmH8+PEYM2YM5HIejnUV/o5xOByPoNVqkZCQ4NZjbtq0CQDc3vs6Jc6thxOcbt+xVsBxJ1QqzSlUs1L5LKkQoaBRLUflOjOMOtYSBKGcSEKC3kKjWk4vEf91BshpJJdQCeyabDygwml85BvvPTm+MUHFKl0ukbGWIAj/02WyluBxIv3EX2UOALkmGr9B/kTmfPVh8ODBiI2NddqekZGBDz/8EB07dkRERAQAYNmyZcjIyMDgwYPx5JNPwmQyISkpCYsXL8b+/fuxbds2eHn9WfW+bt06LF26FE2bNsUzzzwDb29vHD58GAsWLEBWVhZmzJjhcM6SkhI8/fTTuHz5MkaPHo24uDiYTCakpaXh9u3bVeqfOHEiunfv7rDtbg2u4Or1LVmypMrjbN68GRcvXsSjjz5ap/OuXbsWP/zwAwYOHIjHH38cEokEp0+fxqpVq7Bv3z7s3LkTISEh9vGvv/46vL29MWjQILRq1QrFxcX45ptv8Oqrr+Lw4cNYs2YNJBK+VugKPIDN4XAaPCdOnHB70Ppu0sY1bgvxUUE0qquo3OD9pDT6Oln4gqZoiFYEsZbAcSMmiD+5BKATqC+ziT/gCQBKCY1APYVgIBXHHZ1J/L1KAb44zWmc+BH53lJIKAYAhZRGAPtvwc5BLrFBJbmEyr2TisNZfWjfvj3at2/vtP3DDz8EAEyYMMG+bcGCBejevbtDhe+UKVOwYMECHDhwALt27UJcXEUF1507d7B8+XKEhoZi9+7d9iriyZMnY+bMmfjwww8xbNgwxMTE2I/13nvv4erVq/jyyy/RoUOHOunv0qULRo8e7fJ1V4Ur1wegyvOWlJTgrbfeQkREBB555JE6nXfy5MnQarUOFd5PPvkkPvjgA6xZswbr16/Hv/71L/u+ZcuW4YEHHnBYw542bRqmTJmC48eP4/vvv6/zuTkViCaAze3xOBxxotFoEBAQgKKiIo+do7FbiKuOHWEtgeNGdFYa/Y5aeIezluBx9ETs6tKMBawlCEKowo+1BEEoI9L3sYxI9WOYgoYNap7Fc/PEhkRLlfjvnblmGovTVHpgqySiWXKqkXILjSQaKkiIuChR6fVN5fO8YxL/XEgppXFPoXLvLCPiFOVuLBYLdu/eDR8fHwer7969e1c5/rHHHsOBAwcc2sWeO3cORqMRAwcOdLDAlkgkGDNmDE6cOIF9+/Zh7ty5ACoqvr/++mvExcWhQ4cOsFqtKCsrg59f7Wsk5eXlkEgkVVqYu4Ir11cd+/fvR1lZGeLj4yGT1S256a8V5Hefd82aNU7n7dOnj9NYmUyGYcOG4ZdffsGVK1d4ANtFaPwicjicRkllH+3Y2Fio1WqcOHGCtaQGCZXKZCp2zL5EKrCLLOIP1HsRefCUEvkNorL4FaMIZC1BEK5Zc1lLEIRSIgtDIUQC9bcMeawleBw/Wf0WtxoLxeZy1hIEwSq7N5tIDoclVKoC5USeVahUmjf3iWAtweNk6O+wliAIVH6DguW+rCUIwsCBA2vcn5SU5NLxvv/+e2RnZ+Mf//hHnQLI2dnZAIDQ0D97qxuNFc+I3t7O1f6Vgebk5GT7thMnTsBisaBdu3ZYuHAhvvnmG+j1egQFBWH06NF44YUXqgxQL1q0CBqNBgAQGRmJUaNGYe7cuVWe916p6vqqY+fOnZBKpRg3bpyg5717/N1245y6QWO2wuFwGiVarRYajQZnzpxBRkYGazkcxlCxlKQSbAiSid8WS2ehsThNhVt68QeOAKBQQWMhgcpipoJI30edmYYdsxeRfqUUUPHPksNpsLTyqttidGMnz1LGWoIgZBpouEUFEni+prIqSKUHdhuvMNYSBKEI7nW72LFjB4CK/tK1UVJSgnXr1kGhUGDkyJH27a1btwYAnD17FjabzaEw6syZMwDgsA7/xx9/AADef/99BAQE4LXXXoOvry++/vprbN68GX/88QfWrVtnP45cLkf//v3x8MMPIyoqCvn5+fj222/x6aef4scff8SWLVvcEsSu7vqq4tKlS7h48SL69euH6Ojoep3XbDZj5cqKdqRjx46tdXxWVha2b9+OwMDAWhMaOM7wADaHw2nQaLVaxMfHQ61Wo6CgAFlZWcjLoxFEqCtUKpOpIAeNbFujjYa9Nkc8yIkEAkvM4ndHAOj0QywmkkjjS6Rql0LfZAWRvo+tiQTIrhFwDeCIjzSTjrUEQaBwTwEAbxkNh7McAhbiVIoazDYLawmCkGOh8Rv0Q9JRtx0rJycHx48fR9u2bXH//ffXONZsNiMhIQHp6enQaDRo0aKFfV+7du3w0EMP4eTJk3jllVcwffp0eHt74/Dhw9i1axcAQK//c12gtLTiszIajdi2bRuCg4MBAH//+98xefJknDx5Ej/88AMeeughABW222vWrHHQM27cOCxbtgxr167F559/jlmzZtXrvajp+qqiMvB/d9/we+Xtt99GcnIypk6digceeKDGsaWlpZg7dy5KSkrw0UcfISgoqN7npwYPYHM4nAaHRqNxuFGq1WoAFRlLBoP7e1Ye3rPS7ccUktFqGpN4jrgwEal+pEC0Ioi1BEG4as5mLUEQzESSSxRSGkEyjrgY5tuKtQSPYyayOH2w5H+sJQiCP5GEBI64KDTRqExuoaJR/WgiEgz8Mfcyawkep726KWsJglBKpM1IuYyG+6A72b17NywWS61BWLPZjAULFuD777/HjBkzEB8f7zQmMTERb775Jvbu3Yuvv/4aQIUd9qJFi5CQkOBgT15pD96/f3978BqoaGn5+OOP4+eff8bp06ftAezqmDt3LtavX49jx47VK4Bdl+u7m/Lychw4cAChoaEYMGCA0/78/HxYLI73irCwqu+RWq0WO3bswIgRI/DKK6/UeN7S0lLMmjULly5dwuuvv47BgwfXfGGcKhFNANtqo/Ggy+GIGZVKhUcffRRFRcJmjkq0ywU9n7ux/LsDawmCQKXS3IdID+xCIlWBFEgz0rDlU0pFM22uEZmNhgsElYp6G5FgIBWr9Ns28d87IyQ0qul7+jZjLUEQLhtyWEvgcFymqSq49kEiIJiA5TQAlNrca9/bUGkTVD9L3MYAlXltK59I1hIEQS2lMedzFzabDbt27YJKpcLo0aOrHWcymbBgwQIcOnQIs2fPxgsvvFDluICAACQmJuL111/H9evX4eXlhfbt2+PWrVsAgJYtW9rHRkZWfCfDw8OdjlMZ6C0sLKz1Gnx8fBASEoL8/Pxax1ZHXa/vbg4ePIji4mJMmjQJCoVzG59x48YhPT3dYduVK1ecxr377rv4/PPPMWrUKCxevBgyWfXPoCUlJZg5cybOnz+Pt956C0888UQdro5TFTRW4jgcTqNAq9UiLi4OR48ehUajQWZmJgDgwoULHj1v9LObPXp8T3P/v7WsJQgEjQA2lcAuBfsvK68yFxURygDWEgQhn0gvYaOVRqW5n5wvDIkJCukleTb3uy01RH4pTWUtQRCCFX61DxIBNGbvdKCS5JZLxL7XT+rFWoIgqKTOQRmxcccofpt0AAhX0Hju5G1GXOPUqVNIS0vD6NGjERBQ9XfEaDTi+eefR1JSEubNm4fnnnuu1uMGBwc7VFUfP34cAPDII4/Yt3Xp0gUA7Ov0d5OVlQUACAkJqfVcJSUlyMvLQ7Nm95bIeS/XB1TYh0skEowfP77K/UuXLq3R8dVms+Gdd97BF198gccffxyLFi2CVFr9k1lxcTFmzJiB3377De+++y7GjRtXJ52cquEBbA6H06BQKBQYNmyYoH2u/zatj2Dn8gQt5UGsJQjCbUsJawmC4Cej8YB9tTSDtQSPE0mkekMqoZFckmei8RsUpvBnLUEQSqw0gmRlFhrX2VQVxFqCIEgIJPNlmItZSxAELwKBBg6nsWIj4vBYQmSOUEjEjpkjHjrKaawjnCdi7+8udu7cCaD6Hs5GoxHz58/HsWPHkJCQgDlz5rh8jrS0NKxduxYtW7bEsGHD7Nu7d++O2NhYHDt2DJmZmYiKigJQYeW9fft2AHCw5i4oKLC3A63EZrNhyZIlsNlsGDRokMva7vX6/vjjD5w7dw4PPPAAYmNjqxzTvXv3al9vs9nw5ptvYvv27Zg4cSLefvttSGpYAysuLsZTTz2FixcvQqvVYsyYMXXSyakeHsDmcDgNisqboE6ng9ksTHVU4++BTWOhj4qFOBWaeztbD4kNI38gExVULMRzTTTuKRxxkWGiUZETIRd/NavBSsPqtakXjcVpCxE3miIiAbJIZSBrCYKQYdSxliAIFCp2AaDcSqPPbp6+dvvexo6PnEay/y8mGu038ohU1LuD/Px8HDlyBC1btkSPHj2qHPPiiy/i2LFj6NatG6KiorB3716H/bGxsejatav93+vWrcOvv/6KLl26IDAwENevX8fOnTuhVCqxfPlyKJV/tjeUSqV45513MHPmTEyYMAFPPvkkfH19ceDAAVy4cAETJkzA/fffbx8/Y8YMhIaGolOnToiMjER+fj6SkpKQnJyMnj17Ii4uzuX3wNXrq6Qy8D9x4kSXzwkAS5Yswfbt29GiRQt069YN+/btc9gfGhqKBx980P7v+Ph4XLhwAQMHDoREInHS2a5dO7Rv3/6etFBFNCtxVPpgcDhiR6utsMN+5JFH0KdPHyQmJtr3DR8+HNnZ2e4/p26b248pJJbmtdu0iAEbD2CLCgpVu1Yi1RtUrpPKXFMmoWBSDKjlPqwlcNyInoglPIVQIIUWIwCgo9IyhkgAmwpZRvEHyCjhQ8T5i4zjBYGuMWVmPWsJghArp5EsFCLjz2N1Ze/evTCZTNVWXwN/tt88d+4czp0757R/7NixDgHedu3a4dixY1i7di1KS0sRHh6O0aNHY86cOfa+1nfTp08fbN26FR999BHWr18PvV6PFi1a4PXXX3cKSA8dOhTHjh3Dtm3bUFRUBIVCgVatWkGj0SAuLq7KPtS14er1ARVV219//TXUavU9VX3ffd4bN27g5Zdfdtrfq1cvhwB25fikpCQkJSU5jZ83bx4PYLuIaALYHA5HXHh5OT5MaTQahIWFISwszO09sY9NP+nW4wmNt2QsawmCQKUCm4I9KECjylMlVdY+SARQSEYAgBILjQUTKpi5Q4Ko+JsqkrUEQfCC+PuyZhKZB1GpOqLSA5sjLqi47iiIJC1SSYyiklRMgTtWGkluN8pzWUtoNEyfPh3Tp0+vcczRo0ddOma/fv3Qr18/l15z//33Y926dbWOmzVrFmbNmuXSsWvD1esDAKVSidOnT9frvJ9//rlL469cuVKv83GcoTEr43A4jY6/Znvp9XpERUXh/Pnzbj9X47cQZ61AGKg8eFKxzvSRij/jn8p3NloRxFqCINyw5rGWIAhUkmhaezlnlYuRbDON3u23TDrWEgQhWh7AWgKH4xImnizEaYRQCWBTgUpP84zSO6wleJwglS9rCYJwS0/juVMlI+KOwOFw6gWflXE4nAZJePif/XE1Gg1+/fVXmM1mlJe7PxOxsVuI25qHspYgCBIiVZ5Ugp75JvEHVahUHaUZC1hLEAQq9oN5Bhr2oHmKMtYSBMFCwnSaTuKFicDnSWUeFKqkkYxAJTGTIy6o9G43EbnOMquBtQRBuE/dnLUEj0PlnkLlOmOUwawlcBhTXFwMvb5mpzuZTIbgYP5doYxoAtjcKoXDES96vR5NmjTBnTt3IJfL0aRJE+h0OphMJuTn59f7+NxCnMMRHm7fy2lsKCTit+4FgHCvINYSBKHQTCOATaWKzJtIywYlgd8hKi1jqFiI+8u9WUvgcFwmQEagmTAAvdXMWoIgGIlcp1Ii/uvMMehYSxAEKs+dRKbvnBpYtGgR9uzZU+OY6Ojoe7IP54gHGisaHA6n0aFSqZCammr/d3h4OMLDw5GTkwOdToeysjIUF4u/hy6HHlQWbqO8xO99T6V6g0oPbD+Z+G3vATrVOFQC2FQCu1Rsio1ErpMC4cpA1hIEodxqZC2Bw3EZGWj0hi620OizSyWZL61M/P2EFTIan2Vz7/DaB4mAOxYaz2Oc6pkxYwZGjRpV4xgvLxrrMJzqofHLz+FwGh1arRYJCQn2f1cGtGNjY6FQKKBWq/Hzzz+7xVJ8wMaH6n0MlpziFuKiwovIAzaFCmyjTfxZ8AAdF5xcE42kKSpWzDIJjcVpKlCpVKFQgR0k92EtQRCKLDXbJXI4HHakE2mPE+NFw5I1VS/+3tAA0M4vmrUEj5NjouFekm8uZS1BEGK5hTh5WrdujdatW7OWwWng0Fgl53A4HiEsLEywc2m1WgwbNgxXrlyxb5PJ3LOIt3BVjluOw4oxEhrZmVQoJVKpkmMUf59dNZEe2FQqsMstNHqRGSw0foP8FTSCZDoiC2Ahchq/tzICCSY6Iu4IUiJJNFSSS2jUsdKBivV9iYVGb2gqzyoUKs2p/G3mGcS/VgIAF0w0nlM4HE79EP/djcPheIzwcM8HTjUaDXJyKgLMVqujranF4p4KTpvmn245Dius6m9ZS+C4ESoW4lTstTmcxoacwOIXAMiJBFVsoOGQoCfieFFO5DopwHtgczgNlxIzDYcECgFPAAiS+7KWIAi/F91iLcHjULEQjyTQbg0Aisw8/YvD4dSOaH75bUTsKzkcauj1enugPCwsDB07doRKpUJKSgpycnJgNNKoFOPQCexSgULvRyuRwFG0Ioi1BEG4Ys5iLUEQbESSSyi0MeBwOBzW8Pk7h9NwMViJuAsRuc5ys/jXxqgEsL2lStYSBMEqp7FewuFw6geNX34OhyMKYmNjkZqaiq1bt0Kj0SAoKAgAoFarceLECbbiOByOS1DoP2slEiBLN+lYSxAEKlVk5UQsxDkcDofD4XCqQiGl4dJCxY2mjIhVeojKn7UEj2Mi8nydby5hLUEQjFbuLMThcGqHB7A5HE6DRaVSITU11V6BrdVqkZCQYP9/oMJi/MiRI8w0coSDSjWrGTSqHylAxbqXClTsJA1WGgHsEFkAawmCQKWCgwoUemBTwUuqYC1BECgkLHLEh8lKI0hmkfDnTjFxuziPtQSPE+UXzFqCIJQRee6kssbH4XDqBw9gczicBktlwDolJcUeuD5x4gR69Ojh1vMMGfusW48nNN7f0eiBTcWC0F/qxVqCIFwrz2YtweOEKmkEyKjQVEVjwYRKNU6uqZi1BEEos9KoOlIRCdRbCCz09feKYS1BEHaXXGYtQRCieR9PTiMkgsgcnspcyEdG4/m6RWAUawkep8xCI7DbxjuCtQRB4AFsDodTF0QTwOZVThwOGzQaDfT6PyeROTk5bj9HZGQktwjnkJnclhPp0RXjJf5goN7GLbHERCFfnBYVvAe2uKCS5EahAjvdRuO3tjWRxel8cylrCRyOyyglolkqrREqSYtU5nxSifjnCFTme4UWGnMhf5mKtYRGQbt27ardt3//frRt2xYAcObMGUydOrXKcUFBQThz5kyV+06dOoWNGzciOTkZZWVlCA0NRefOnbFo0SL4+fnZx23fvh0///wzLl26hBs3bsBiseD48eOIjIys8rh37tzBunXrcOzYMWRmZsLX1xfNmzfHE088gVGjRtX18u2cPXsWhw4dwk8//YSMjAwAFa1GR44ciUmTJkGlcvw+/fbbb9i3bx9SUlKQkpKC0tJS/POf/8TcuXNdOm9paSk2btyIS5cuISUlBRkZGYiNja3VDfbixYtYs2YNfvnlFxQWFkKtVqNjx4547bXXEBNDI2HXXdCYlXE4HI+h1+uRmJho/3dlpTQAh8rpew1sFxQUICsrC/7+/iguppEhzKENlUA9hUV4Ksl1VhuN62xBpIqsgMiCyR0iveWo2PdGyP1qHyQClASCDf8z3mEtQRCC5b6sJXA4nGqg8jxGJbAbIPdhLUEQSs2FrCVw3ISUyPzdYuNtDOpKjx49MGHCBKftUVHOzgsTJ05E9+7dHbZ5eVXtRLF27VosW7YMvXv3xpw5c+Dn54fc3FycP38e5eXlDgHsNWvWoKCgAO3bt0d0dDRSU1Or1VtcXIzx48cjLy8P48ePR7t27VBSUoK9e/fipZdewh9//OEQP6gLy5YtQ0ZGBgYPHownn3wSJpMJSUlJWLx4Mfbv349t27Y5XOfx48exdetWNG/eHB07dsTZs2ddOl8lBQUF+OijjxASEoIOHTpAp9PV+poDBw7gX//6F9q3b49p06YhODgY+fn5+P3331FYWMgD2C7CA9gcDsdjWK1We3Db1RtTJVFRUfabg8FggNHo/t6cAzY+5PZjCskPzUNYSxAEKtm2VLhOwEI8iojlNBVSjQWsJQgClb6swUQCnqVELMSpzBH0BIINVAJHFFqpAECwgsZvLUdcZBlpBAJ9iVQ/lllozIWUUvEv8ZuIuNVR+c56ycX/nXUXTZs2xejRo+s0tkuXLnUae/bsWbz//vuYM2dOndbsN2/ejOjoaEilUrzyyis1BrAPHjyI9PR0vP7665g8ebJ9+6RJkzB48GBs377d5TjBggUL0L17d8jv+t5MmTIFCxYswIEDB7Br1y7ExcU5nOupp56Cr69vjdXptREeHo7vvvvOnizw6KOP1jj+xo0bWLhwIUaMGIHFixdDKqWRkOJJ+C8Fh8Np0Gi1WrtNeUFBAXQ6HW7fvu3WcxybftKtxxMab8lY1hIEgcritNRG4zqbqGgkXlCAgl0dAPgRWeQrIlKB7U2k+tGbSG/o60SqdiMVgawleBwq8z0Oh9NwoeKilKXPZy1BEHzkNObwZWYa/aEpQKUy2cBbrrmEyWSCwWBwqIqujvLyckgkEidb7btZtWoV1Go15s2bB6DCKtvLy8shQHw3TZs2rbPWSgfV8PBwh+3e3t7w9/d3aEVaV3r37l3l9sceewwHDhzAlStXHLaHhoa6fI6qUCqVVVa6V8f69ethsVjwyiuvQCqVory8HDKZDEoljedyTyCaALaNiH0lhyM27g5Oq9V/2rOmpKQgLy9PEA2XNp8S5DyeYkxLGpUNYaBxsy+Q0ZjEU8hBPGekUV0VrQhiLUEQqPQ0D5R5s5bAcSMqIn08aRjCA7cMwsyNWaImUrHb27cZawmCQMUSniMujFYac74IFY32OFQ+z/v8m7CW4HHMRAK7t4nYwVNpYzBw4MAa9yclJdV6jEOHDmHfvn2wWCzw9/dH//798fzzz1dpRb1o0SJoNBoAQGRkJEaNGoW5c+fC2/vP5/zy8nKcPXsW/fr1w969e/HJJ58gPT0dcrkcvXr1wssvv4z27du7eKV/0rdvX0ilUixbtgxKpRLt27dHcXExtm/fjlu3buG9996752P/lezsinU3dwWs68t3332Hli1bIjk5GUuXLsUff/wBqVSKzp0744UXXqg2EM+pHhorGhwOp8Fy/vx5dOjQAVlZWcjIyEB+vvBZwLcDzgl+TncyKohGb/A0IlWeVBKyWsvFX0VGhTQi1tpUHrCp9EyWE+glDNCo2AXoXCeFHtiZJhqLthQ+SwCIVdIIkF0w03AvoUIzVcNYBPc0mUYdawmCQKWatcAq/gpsKs9jVJIugok4YgH1+w3q1KkThg4diubNm8NoNOKXX37Bzp07ceLECXzxxRdo1aoVAEAul6N///54+OGHERUVhfz8fHz77bf49NNP8eOPP2LLli32IPatW7dgNpuRnJyMkydP4umnn0anTp1w6dIlrF27FpMmTcJXX32Fli1b3pPm9u3bY+nSpfj3v/+N2bNn27cHBgZi1apVeOSRR+r1nlRSUlKCdevWQaFQYOTIkW45Zn0oLi5Gbm4uTCYT5s2bh4kTJyIhIQE3b97E6tWr8dRTT2Hjxo3o1asXa6mNCh7A5nA4TLm7TzbgWJF94cIFAIBEIiET1LsXJEQCu1SgUuVJAQkRG1QqFuIyEr4BgN5Co7ecikbsCCVEemCHy2gsgPlKxN+jPpO1AIEottH4reVwGiPpBhrJmSqp+O8pAGAEjedrCs8qRiJrJVQC9TpzGWsJgnA+6Yd6vf6rr75y+PeIESPQv39/zJo1C++99x7Wr18PAOjevTvWrFnjMHbcuHFYtmwZ1q5di88//xyzZs0CUBH4BYD8/Hy88847mDhxIgBg8ODBaNKkCV577TWsXLkS77///j3rVqvVaNWqFUaMGIFu3bpBp9Phiy++wD//+U98/PHHeOihh+752ABgNpuRkJCA9PR0aDQatGjRol7HcwelpaUAAJ1Oh9mzZ+OFF16w7+vUqRPi4+PxwQcf4Msvv2QlsVHCA9gcDkdQwsLC7P+v0WhgMBgc/p2amoqtW7c6bMvMrFjKqgxoc2hCpSciletUEHjApvJZUsGLyCIflQA2lQQTKgt9pUSCgaZ6VnBwGg6+RJZidDYjawmCEKmk4QKRa6Lh/BUo92EtQRCoBMkoBHYBGm1GwhUBrCUIApV+5j5eNO6dnuCRRx7B/fffj9OnT8NgMMDLy6vasXPnzsX69etx7NgxewC7sje2VCrF2LFjHcaPGTMGb775Jk6fPn3P+o4fP445c+bgjTfewKRJk+zbR4wYgREjRmDhwoVISkqCQnFvayxmsxkLFizA999/jxkzZiA+Pv6etQIVgXyLxfGeeHf8oq7c/Tk8/vjjDvv69OmDJk2aIDk5GeXl5Q6W7pyaofHUxOFwGgzh4eH2/9fr9Q4/7nq9HrGxsejRowcLaZwGjhU0qvA7KUJYSxAECp+nhQcaRAWVhIRwIgsJRUQy/g1WGoFdP4WStQRB4C4t4kEPGoEjKpbwRUQsxKm0GaHwnEIJH2n1gR0xkaPXsZbgcXxkND5LLxmNeS0Vq3RPERMTg+TkZOh0OkRERFQ7zsfHByEhIQ4tO6OiogAAAQEBUCodv28KhQJqtRqFhfc+h1u/fj2sViuGDRvmsN3b2xv9+/fHli1bcPPmTbRp08blY5tMJixYsACHDh1yqnK+V8aNG4f09HSHbVeuXHH5OEFBQfDx8UFZWVmVAfCwsDBkZGSgqKiIB7BdQDQBbG4vzOGIh3bt2mHr1q3QaDQ4f/488vLEn0nK4VTyPwuNhb5omR9rCR6HSoWnlcgcTE+kwpMjLoJkNKrI8sylrCUIQoRc/PdOKvxSmspagiAEK/h3ltP4KLXQqH5s7eV6dVljJN9CI8GkvV80awkep4jI32ZXb/F/lgBw0ZDNWkKj5ubNm/Zgc02UlJQgLy8PzZo1s28LCQlBTEwM0tPTnaqBDQYD8vPzHQrQXCU7u+KztVqdizrM5orEhb9WPNcFo9GI559/HklJSZg3bx6ee+65e9Z4N0uXLnVwiL1XJBIJ7rvvPpw5cwZZWVn2/uSVZGZmQi6XIygoqN7nooRoAtgcDqdxo9FokJOTg/DwcMTGxiI+Ph5qtRpGIw3bOQ6nEgORLFQpkf6zFKDSA5tKIJBKdVWwnEbPZBMRe1AqlPMKbE4jg/8GcRojAUQsxPMsNNxoqLRTKTSK//P0JVKBfbrkBmsJgsDdLmqnoKCgygD1gQMHcPHiRQwYMMBeQV3VWJvNhiVLlsBms2HQoEEO+8aOHYuPPvoIX3zxBZ5++mn79m3btsFqtaJ///73rLtNmza4efMmdu/ejZkzZ9q3FxUVISkpCX5+fmjZsqVLxzQajZg/fz6OHTuGhIQEzJkz5571/ZXu3bu77Vhjx47FmTNnsHXrVrzxxhv27d9++y1ycnLQr1+/Gi3fOc7wADaHw2FKpaWGXq+3Z3dptVpoNBro9XrYbDZ06tQJarUaJ06c8IgGrW6bR44rFJbmNCynqdj3yogEA5tA/BO2C0QeyKhUYJdY65+R2xgoNIl/8QsA/OQq1hIEgUpCQqCMhgVbkET8984MIvfOUCWNPp5WG412KjTqO+lgIfK9BZE5glJCY+lbJbu3XrKNCQmRtZIIr5orasUCleSS+rBq1SqcO3cODzzwAKKiomAymXDu3DkcPnwYYWFhePXVV+1jZ8yYgdDQUHTq1AmRkZHIz89HUlISkpOT0bNnT8TFxTkc+6mnnsLhw4exdOlS3LhxAx07dkRKSgp27tyJqKgop+rmo0eP4vLlywD+tNf+7LPP4OdX4bYzZcoU+Pv7AwBmz56NEydO4P3338fVq1fRrVs3FBYWYseOHcjNzcVrr73mZF1eGy+++CKOHTuGbt26ISoqCnv37nXYHxsbi65du9r/nZ6ebh9z+/ZtAMBPP/2ETz75BADQs2dP9OzZs07n3rJlC4qKigAAxcXFkEql9uMEBARg8uTJ9rGjR4/G/v37sXXrVty5cwe9e/dGWloatmzZAn9/f7zyyisuXTeHB7A5HA5j7rYkUalUSE2tsNPTarUAgLi4OERFRUGv16Ndu3ZQKBS4cOGC/UbnjgrtY9NP1vsYLPGWjGUtQRCoBLD1RCqwU23it/+iYiFOpQK7mEh/S4OVhvOJyib+RT4AMBOpfrQQ6W9pINA3OZTbpIuKfCL2/hxxoScyF5JLaFhilVloJKFSSFqk4qCUaypmLUEQopU0AvX1oXfv3rh+/Tr279+PgoIC2Gw2REdHIz4+HjNnzkRIyJ8FTUOHDsWxY8ewbds2FBUVQaFQoFWrVtBoNIiLi4NC4fj86+Pjgy1btuDjjz/G4cOH8fXXXyMoKAj/+Mc/MH/+fISGhjqMP3z4MPbs2eOwbf369fb/HzVqlD2Afd9992H79u1YvXo1Tp06hW+++QYqlQodO3aERqPB4MGDXX4vLly4AAA4d+4czp0757R/7NixDgHs27dvY/ny5Q5jfvzxR/z4448AgHnz5tU5gL1hwwanHtmVx46OjnYIYEulUqxatQpr167Fvn37kJSUBF9fXwwaNAjz589HixYt6nROzp+IJoBNI0+bwxEfKSkpSEhIQE5ODrZu3YqEhASH/eHh4dDr9UhMTERCQoI9yF1WVgabm6r+Lm0+5ZbjsKJbLI1fQCuNGBmayQNZSxAEPwKZ8DYisxMqFdhUqnGUUhqBXSqLtlS+t3oiFRwULMTzzCWsJQgCld8gbiHOaYxQSUKlEPAE6Dyr3C7JYS3B48gDaNw7y8ziT/YHgGsW3gO7NgYOHIiBAwfWaeysWbMwa9Ysl44fEBCAhQsXYuHChbWOXbx4MRYvXlznY7dv3x4ffvihS3pq4ujRoy6N7927t71SXOhze3l5Yd68eZg3b55bzk8d8a8eczicBo3VarUHp6uioKAAJpMJQEWF9pEjR9yu4W/T+rj9mEJCxUaJSgV2npVGlaePTPwPn1QWv6hUYEd4BbGWIAhUAp6+UtcsyxorVD5PHZE+nhQC9c0UNKpxkstus5YgCIFEeglzxIXORCORxk9Oo/1GGJGWDWUW8Qc9qVRgU1n78iHS05zD4dQPHsDmcDgNjsr+1wCQlZWFvLw89OjRw2PnO7xnpceOLQSjaazzcUSGCuIPYHM4jRGdiYbda6lU/It8ABBAJHjkT6QHtoqAe0maScdagiC09o5gLUEQqNigcsQFlf6zJiKtq4otNBLE88qKWEvwOGFKGm51LbxCah8kAn4vS699EEfUFBcX29f/q0MmkyE4OFggRZyGiPifgDkcToMmLCwMAHDixAmPBqlrQqvbxuS87sLWPLT2QSKAioV4KZGea8Uy8S+YULEQj1YEsZYgCAVEFr+CFTT6z4YSqeCgck+hUqkiI3CdrZQ0Fm2vGnJZSxAEKhbFHHERLqcxFyq3mlhLEAQqrQz+po5lLYHjJlKNBawlCAKfI3AWLVrk1Ff7r0RHR7ts4c0RFzyAzeFwmBIeHg4AGDx4MPR6Pc6cOQObzQar1QqLRZgHDU3QJEHO4ylGq79lLUEQqCxO+0tp2CgpCHyeMtB4IEsnUi0XrqBhP6iWqlhLEIQUPY2ea0opjcc9JYHKZADINom/ukolVbCWIAh+Mhq/tX9T0KiYOWa+wVoCx43cMOSxliAI5RYaSW5eRO4rxWbxt1NpQcS9pISAHTxAp+Uap3pmzJiBUaNG1TjGy4vGGimnekTzpG82ctsJDqcxo9fr7b2wExMTodFokJmZCbVajYKCAly9ehVGI40HLA5trESqdilUkVH5LKlwh0g/xHIZjWocKg4JcgmNdg1mItVVNK6TRqAhjIgLRK7NwFoCh+MyefpC1hIEwUdOIyhAIbALAAoCcz6ZRPxrCACdxOkbehpuNJzqad26NVq3bs1aBqeBI5oANofDafxoNBrk5OQAAFJTU7F161b79jt37mD//v32wLZOp8Pt27fdct4hY591y3FY4ftdEmsJHDdCxcpNL7OyluBxuCWWuKBiP5hjpLFoS6Uap5RIBYe3VMlaAofjEiab+OdBAKDgcyEOp8HCk23FRVMVjdZyFLhtzGctQRACFT6sJXA4nEYAD2BzOBymqFQqJCQkICcnB+Hh4YiNjUVCQgIyMjLw6KOPoqjoT6tET/XIHrDxIY8cVyhOEemBLSGSbasiYoNKAQuRxWkqPbDTiPQi85d7s5YgCAYiyUJUrLV5AFs89PeKYS1BEE6ZaLQxiCDSS5gjLvyIBFWkRJ6vDUSs0imkI1htFK6SjoMSlZZrHA6nftBY0eBwOA0WrVYLABg2bBgA2Kuuhw0bBoNBGMs53gOb05CIkNGwlGwG8fd+vELAJh2g0wO7zELDBpVKP0RvGY2AJxXngDxTMWsJgkDB2eM7g3sclho6Xb0iWUsQBCrtGtoS6ctaaqUxR/hfWSZrCYLgLaNhIU4lqTiVgB1zsMKftQRBoJKYqZLysBSHw6kd/kvB4XAaBFarFeHh4XaLcIPBgOJiYRYjJdrlgpzHYyzpyFoBx43cMOtYSxCEHCmNXmQc8aAk8oBNpbKBCn4y8ScLAUAYkSrPVCKWkhS4bKLxWVLp9X21nEZFPYUkGgAIUwayliAIRpuZtQRBiPaNYi1BECwE5vBUemC3lgexliAIR0v+YC2Bw+E0AmisxHE4HJeptPYGYO9L7UnCwsJw9epVlJWVCRa4rqT1M+0EPZ+7afdvGhnFUiLVrFQsxKNl4g82XDTTCNJT6SXsI6VRpUKlXYONwCIfACiJWBDeMt5hLUEQKFjCU+nJWmQpZy1BEOREAp5UiFAGsJYgCIVmGn+fFO4pAHC9jEaCSS//FqwleJzrRBL5UiUlrCUIQnffWNYSOBxOI4DGbIXD4bhMpbU3AHsg252oVCqkpqba/x0bG4uMjAx06dIFAHDixAm3n7M6yqULBTuXZ1jMWgDHjVCpbFAQSUigABXLaQWRQKCCSKU5lR7YhVYa1VVBChpVnkUEEqOoJEVRSczMN5eylsBxI9nGItYSBCGSSAV2sUXPWoIgRKqCWUsQhNPF11lL8DghRJJoIqQ+rCUIQpqFxj2lvrRrV33R1f79+9G2bVv7vy9fvoyPP/4YP/30E0pLSxEdHY1Ro0Zh5syZUCodrel/+OEHHD58GCkpKbhy5Qr0ej2WLFmC0aNHO50nOzsbe/fuxcmTJ3Hjxg0UFhYiKioK3bp1w5w5c9CsWTOn19y5c+f/sXee8VFVWxt/ps+kTyohIXQIEhEBwRdB6aIiTRQhokHBgihGrmWsWHBQ0cBFRETaxcClCFL0UgygQQ1RSmgxSA3pQHqZPu+H/DIwJiEZMnN2ctb+f4GcOTn7OZmZc87ea61n4ZtvvsG+ffuQm5sLb29vtGvXDo8++ihGjx7t8t8hNTUVu3btwh9//IGcnBwA1bGEBx98EJMmTYJaXbfz2O+//46VK1ciLS0NlZWVCA4ORo8ePTB37lz4+DRcWOPquMeOHcO2bduQnp6O9PR0VFRUYNasWZgxY4bL58yphsYKFYfDaXbo9XqnwLher8eIESOgVqthMBjQtWtXFBcXIz/f89mytzzxfx4fw5NQWQDjVYHiwkygworKIryBSCDQi0ifQCo9k6ncOxVSGokXFAK7ACAnkEjTWRnMWoIgnDAQ6bFLpI8njXpdOgTJNKwlCAKVAHaRmUY1KwXreyprQkV2I2sJgmAkMu90B3369MEjjzxSa3t4+LUWCX/++SemTp0KuVyO2NhYREZG4ujRo1i0aBGOHTuGr776yuk7tH37dmzfvh0dO3ZEly5dcOzYsXrH37t3L/79739j4MCBiIuLg5+fHzIyMrBhwwbs2LEDK1aswB133OHYv6ysDA8//DCuXLmChx9+GF27dkV5eTm2bt2KV155BWfPnnW5WG7+/PnIycnB8OHDMXnyZJjNZiQlJWHevHnYvn071q1bB5XKec1m2bJlmD9/Pvr164dnn30WPj4+uHz5Mo4cOYKqqqpGBbBdHffnn39GYmIi2rVrh+7duyM1NdWl8+TUhgewORxOsyEkJARHjhxBt27dcPXqVVy5ckWQcXdvWSzIOJ5idABrBRx3UmmnEQxUQ/yV5lY7DXt/KlDpE0gFKoF6fzmNCo4CUwlrCYJglYj/vvK3SZjnf9b0UkewliAIWVZhW0OxopSI5TSVyuSzRhptKagk22oV4m9dBQB/lVxiLcHjdPJrzVqCIJQSSS4pNnOXlsbSpk2bOiujr+fDDz+E2WzG6tWr0atXLwDAo48+ivbt2+Pzzz/Hjh078OCDDzr2j4+Px3vvvQeVSoXNmzffMIDdp08f7N27F6GhoU7bBw0ahKeeegoff/wxNm3a5Ni+c+dOZGdn4+2338Zjjz3m2D5p0iQMHz4c69evdzmAPXv2bPTu3Rty+bVw5pQpUzB79mzs2LEDmzZtQmxsrOO11NRUfPbZZ3j22Web5Czr6riTJk3Ck08+CW9vbxw8eBCPP/74TY/NqYYHsDkcTrMhKioKWVlZSEhIgE6nw8GDB1Fayi1lGoJKFiqVajkvCY2FhGDQOE8KSIlcg66aaCzCU4FKRX0xEfteGxH3EgkB95KxytoWhGJkhzmLtQRBMBNpY0CFPCLJQlSSv3IMNAL1NgL3TgBo4xPCWoLH8ZPVbREsNiRE1r44rmE2m2E0GuusGi4pKUF6ejrat2/vCF7XMG7cOHz++ef47rvvnALYYWFhjR67c+fOdW4fMGAA/P39kZGR4bS9rKx67eSfAW+NRgNfX18YDK4nafTr16/O7ffffz927NhRS8OSJUug1Woxc+ZMAEBFRQVUKpVTINoT4wYH03CTEhIewOZwOM2GGhtxADAYDAgPD4dGo4HZbEZhYSFjdc2XNjIaGcWXrDSsv6gkJORD/H2TrRB/pRxAJ3CkkdGwQaVi90qlAptK73azjcj7ScAS/n+WHNYSBOEKkV7CvnIaVsxUKpMvm2kk85VZaVTUe8lpBAMrLTSqWSkkZxYRaRkTLKexxhei8GUtQRCGDh16w9eTkpIaPMauXbuwbds2WK1W+Pr6YtCgQXjppZcQGRkJADCZqtfXNJraz10129LS0mC329265lhWVobKykqEhDgn0PTv3x9SqRTz58+HUqlEdHQ0ysrKsH79ely8eBEfffSR2zTUtB69PnBcVVWF1NRUDBw4EFu3bsWXX36J7OxsyOVy9O3bF6+99hqio6PdPi7HM/AANofDabbUVGT379/fo9XYI8Y975HjCoX3/oYfdsQAlQrsCpv4A7sAYBP/GjxkBGzSAaCNUstagiBkm4tZSxCEq0SCKt5Egip+RPp4Vklp3Dsp9MCmUrFLpcIzUO7NWoIgXDLSSLaOUNF45vu7kkaPeh8iz0JUKrCvGMXvkKBV0gh45pnF/14CQCsFjeQvoGmJtjExMbj33nvRrl07mEwmHDp0CBs3bkRycjLWrl2Ljh07Ijg4GFqtFmfPnsXly5edAsoHDx4EAFRWVqKkpAQBAQFN0nM9ixcvhtlsxvjx4522R0dH49NPP8XHH3+MZ555xrHd398fS5YswT333OOW8cvLy/HNN99AoVA4VZdfvHgRFosFaWlpOHDgAJ566inExMTg1KlTWLZsGSZNmoTvvvsOHTp0cOu4HM/AA9gcDqdZcf1NVq/XIzY2FgaDAVFRUdBqtUhLS+O24v+AyoSMSgDbm0j1o4pAcJfKd5NKYDdU4cdagiC0VQaxliAI54yXWUsQhAqbkbUEQTBYzawlCIJMIv5KcwWRgAqVqiMqFbtUoGIhTmXeScdFSfyVyQAN22k7kc+sH5EktzIi85TUpJ+b9Pvfffed08+jRo3CoEGD8PTTT+Ojjz7C8uXLIZFI8OSTT+Kzzz7DjBkz8MorryAiIgJpaWn46KOPoFAoYDabb8q6uz62bduGlStXokePHk5B6hq0Wi06duyIUaNGoVevXiguLsbatWsxa9YsfPHFFxgwYECTxrdYLIiPj0d2djZ0Oh3at2/veK28vNrBs7CwEO+//z4mTpwIABg+fDhat26Nt956C4sXL8Znn33m1nE5noEHsDkcTrPin/0xan5etWoVACAuLg7FxcUoKChwWKQ0ld1bFrvlOKwYpxX/RIUjPgxNzELlcITGRKQq0AQa50llYchqp9HKQCYRf1IUACilfPouFs5U5bOWIAhUKs054oLKPaXSSsNam0oA+4pB/Akm3t6hDe8kAgxWGs5CVK61nuCee+7BbbfdhpSUFBiNRqhUKkyfPh0mkwnLly/HlClTAABKpRLPPfcc9u7di+PHj9fZP/tm2LVrF3Q6Hbp06YKlS5dCqXQuxPn555/x7LPP4p133sGkSZMc20eNGoVRo0bhjTfeQFJSEhQKxU2Nb7FYMHv2bPzyyy+YNm0a4uLinF5Xq6tbZEilUowbN87ptbFjx+Ldd99FSkqKY9vly87J7TKZDIGBgS6Py/EMfAbM4XBaFKtWrYJOpwMAtG/fHsnJyU0+Zku3ENfs/4m1BI4bqbLRqCKzycRvKUmleoMKJUT6IRaby1lLEIQwIjaoBiJtKexEHC8sJHq339xCFqd5whenOS0RM4lrLZ3vJ5Ue2Bab+D+37uzd25ypIhLApvL87ikiIyORlpaG4uJihIWFQSKRYObMmZg2bRpOnz4Ni8WCzp07w9fXF2vWrEFoaKhbAtg//vgjXnnlFXTs2BGrVq2qM9C7fPly2Gw2jBw50mm7RqPBoEGD8O233+LChQvo3Lmzy+ObzWbMnj0bu3btwjPPPIOXX3651j7h4eEAAD8/v1rBdYVCAa1Wi5KSa0k//6wGj4iIwN69e10el+MZeACbw+E0K9RqNeLj41FQUOD4OTMz02kfvV4PnU6HPXv2uGXMll6BPYbGGjwPBooMNbcQ57QwjESSS+QSGtODCiJVRyopDwZyOM2RSFXtxT4xUkkkiaaVkkYfTyqW8G01NKo8C4kkLVqlNNxoqPSHpgCVNiNU2lJ4igsXLjiCsdejVqvRo0cPx8/Hjx9HYWEhHn744SaPuX37drz22muIjo7GihUr6u2nnZ9f7TRks9W+/los1Y5vVqvrSTcmkwkvvfQSkpKSMHPmTLzwwgt17hcUFITIyEhkZ2ejqqoKGs21FkVGoxGFhYVODrArV650+n2Vytm5o7HjcjwDjRUqDofTYtDr9QCA+Ph4x881///nfnq9HmPHjm2ynTivwOY0JzQ82MDhcBjiLadhs0jFWptK4gWH09Iw2Gm0a6AClUV4KhW7WYYrrCUIgkqqbHgnEUDFKj1QEcxagscxEbl3mkFjniIlUlHfFIqKimoFqAFgx44dOHnyJAYPHlyrwvh6DAYDPvroI6hUKjz11FNN0rJ161a8/vrriImJwfLly+Hn51fvvp07d8aFCxewefNmTJ8+3bG9tLQUSUlJ8PHxQYcOHVwa32Qy4cUXX8S+ffsQHx+PZ5999ob7jxs3DosWLcLatWudzn3dunWw2WwYNGiQY1v//v3dNi7H/fAANofDadF069bNkfF14sSJmzpGS6/A5j2wxQUVC3GDjMakjCMeNEQW+SqsRtYSBEEhlbGWIAi+Mk3DO4kBGm8nii0VrCVw3MQVUylrCYIQqHBPr0UOR0iURBKKqSTz+cq9WEsQhBzDVdYSPE6wiobbBZUEVJudO9Y1xJIlS3D48GHceeedCA8Ph9lsxuHDh7F7926EhITgzTffdOx76NAhfPrppxg4cCDCwsJw+fJlbNmyBdnZ2fj444/Rvn17p2P/9ddfDpvs9PR0AEBSUhKys7MBAEOGDEF0dDQAYO/evXj99dehVqsxduxY7Nu3r5bWMWPGOP7/zDPPIDk5GZ999hlOnz6NXr16oaSkBBs2bMDly5fx1ltv3TDwXhf/+te/sG/fPvTq1Qvh4eHYunWr0+tRUVG4/fbbHT8/+eST2L17Nz799FOcP38e3bt3R3p6OjZu3Ijw8PBGV1G7Om52drZjn6ysLADAH3/8gS+//BIAcMcdd+COO+5w6dypwwPYHA6n2ZOcnIw+ffp47PgS/UKPHVsIbJ90Zy2B40ao2E5TsBDntvfigkpgt8JCo9d3B69WrCUIgoxIZQMVW1tuCS8egpX1V62ICRuRABmHw2m+lJppJH9184lkLcHjFBJJ5KOyjhCg8GYtodnTr18/nDt3Dtu3b0dRURHsdjsiIiIQFxeH6dOnIygoyLFvWFgYAgICsG7dOhQXF8PPzw99+vRBQkICunevvW586tQpLFzovB6+a9cu7Nq1CwDQqlUrRwD75MmTsNlsqKysxPvvv1+n1usD2LfeeivWr1+Pr776Cr///jt++OEHqNVqdO/eHTqdDsOHD3f5b1FTtHb48GEcPny41uvjxo1zCiR7eXnh22+/xRdffIHdu3fj+++/R0BAAB566CG8+OKLCA5unGuFq+NmZWXV+rv+9ttv+O233wAAM2fO5AFsF+EBbA6H0+z5888/AcCtfa+vx66b5fZjCoqWhoU4lYd4OYHALgCYiNhiccSDUkrjsdkqo2EhXkRkAcxOJCmKSgWHlcC9UyGhUU5PpQLbn0jlI0dcUKlM9iLyzGe03Xy7uZYEhWQ+KmtC4coA1hIE4YqVxnysKQwdOhRDhw5t1L6RkZH46quvGn3s8ePHY/z48Y3a94UXXnC573N0dDQWLFjg0u/ciJpqcVfw8/PDG2+8gTfeeEOwcfv164eMjIybHo9TGxorcRwOp8Wi0+lgMBhQVFR00xbhDdHSe2B7709iLYHDcRlvAo8gVKrpqRCmoFEtl20vYi1BEKi8n1T6leaZafSfNVjFbympJlJlTqUC22yj0a+UIy5MROx77UQC9T5yGu1ULHYrawkeRykR/xoCAJRYaThilRFx/uJwOE2DxpWfw+G0ONRqtUdtw8UED5KJCwuB6ioA+MtazFqCx6FS+RihCGAtQRAkRKyYu6rDWEsQhCo7jaBKFZFF+AAZjSrPAhuNql0KqIgswkcS6Vd6ojKHtQSOG9EQqUzWEulRTyWZT0HEyY0CVD6zPjI1awkcxpSVlcFgMNxwH5lMhsDAQIEUcZojNGZNHA6nWeLp3taNZfeWxawlNIlxWhpBFSr0VISwliAIZgKB+hNEeiZnm4tZSxCECguN95PKggmVnmsGIraZ/PvJaWkY7DSSS2RE7F67alqxliAIZwwFrCVw3IiaSCJNJZFnoXOVl1lL8Dh3+ndiLUEQjlVcYi1BEPyIzMc49TN37lxs2bLlhvtERETclH04RzzQeFrhcDjNkj///BM6nQ65ubnQarUoKipCZmYmSkuFrS5p6Rbi6n3u7wveHKFS/Uilop5ChjiFXqUAnd6zIUTsXo1EKnYrrDfO9BYLt6hpBFXSrNmsJQiCQir+/tChCl/WEgThioVG38fTRvEHVACgykojQEYliabYVM5agiCEKmk4JJRYKllLEIQo71DWEjwOjdk1HQLlPIBNnWnTpmH06NE33EelouGKwqkfHsDmcDhM0ev1jv/rdDoAcASzPdXzWmxQCexSQUUgsAsApwhYiMuIvJdUqLTRqPAsMdMIqoSptKwlCMJ5UyFrCYJAIbALAHKJ+M+zwFzGWoIgFJppBMgCiVgU8y6e4qK1Joi1BEEoJ5LMZyXS65vC3FNOxNWjs1c4awmCcMFwhbUEDmM6deqETp1oOCtwbh4ewOZwOM2GmmC2TqfjwWtOLaREJitKAhNPAPi7Mpe1BI8TrqLRp0dKJInGYKVRmewrp9FLuJKIxb+diKtHoJxGkKyIQNWugkCQHgCClDQqzdspaCQLGRRW1hIEgYqFOJVnBKWUxpKwRqZkLUEQ1ATezzwrjeQvXymNilM/uYa1BA6H0wIQ/92Nw+E0K9RqdbPoe309B9YHsJbQJAaH3s1agiBQyCgGgGLQCJJ19WrNWoLHqSJixUzFQrwHgc8sAOQTCJABQIyCRnVVCZE+u2YippJt5eK3ez1pzGctQRCo3DupuECUWmjUYFNJWgwm0jbGW0ojsGux00gwSS/LYi3B43TwoVGZfJmIG42XjEagnsPhNA0ewOZwOIIzcOBAAEBRURG0Wq3j/6yqrgdMLGYyrrvQ7B/HWgLHjVDoDQ0AZ6rEv0A91IeGFdJBK42+chfNxawlCIKEiNvFMTMNy7oqG42+rGFyGtWsYTLxB1Wo9NgtIWIh7surq0QFlWcEKhXYflI1awnCQONjSwIVEZeWUruFtQRBKDTQCNRzOJymwQPYHA5HENLT0xEfH4+CggIkJiYCqLYK37NnD2NlwH+X9mUtoUnEdaFRFUil17eMyAzbYhP/pCzNRMNmkUoVWbDMm7UEQThruMxagiBEqWlUYHdV0GhlcLDqEmsJgpAtKWYtweNQ6PNNCSqW8DTqr+lApXVVEZEkVCoJCRFewawleJxzleJPggeAfr4dWEsQhNNGGvNODofTNHgAm8PhCILNZkNCQgJ0Op3DQlyhUEChUMBsZmtv+egzqUzHbyoaCY0KbCoLCWlEqgJbEwge2Yj0nqViJ5lvoZEh3kopfotiAAiR0qgKvGwzsJYgCKEK8VcmAzTsXvPMpawlCIK/3Iu1BEGw2mnY+3PERaCcRtJinrmEtQRBCCDyfqYVnWctweMEqGm8l3+WX2AtQRCCiLRr4HA4TYMHsDkcjqDo9Xro9XrodDoYDAYkJydDqVTCx8cHhYVseqTxHtgtAyo9sM1EenQpCVTkVBHpPUulAnuAOoK1BEGwEEm8SLcUsZYgCFU2GtchfxmNhAQKUHkvS4kkl9iJPCNQwU7kGaGCSPsNKoFdExE75ra+oawleBwq8061VMFagiC0IpKAyuFwmgYPYHM4HKbExMTg9OnTzILXABBo+B+zsd1Br6iPWUsQBCoW4rcqQ1hLEIQCm/jNFrtItawlCEJKVRZrCYJwyUbDZtEIGkk0AVT6PhKhxCr+ewpA41koSk7DBUJDZHGaSkU9Faj0wA6R+7CWIAi5RCqwqbhiBRH43GYbaSSg3u3VlrUEQcghsCbUVBYtWoQvvvjihvv88ssvCAsLw5QpU5CaWr/DaNu2bbF7927Hz1u3bsW2bdtw5swZFBUVQa1WIzIyEqNHj8ajjz4Ktdp5vvy///0PycnJOHXqFM6cOQOz2YzExESHy2pd7N69G9988w1Onz4NhUKB3r174+WXX0aXLl0a+Re4xoULF7B9+3b8+uuvuHTpEioqKtC6dWv0798fTz/9NEJDb5zEk5+fjwceeABlZWWYNWsWZsyY0eixv/76a5w6dQqnTp1CZmYmpFIpTp06Ve/+f/31F7744gv88ccfqKioQEREBEaPHo3p06dDqRS/o5a74QFsDocjGDVV1wBQVFSEEydOMFZUTaH6PtYSmsSw0EGsJXDciC/EX5kMAMct5awleJwQJQ+QiYmrRPoEUqG1gkaCCRWoBLB9JCrWEjzO3yYarVSoVCZTCRxxxMUZQwFrCYIQRsS+l0rVrp9M/HNPqTqQtQRBKCXi5EalRVdTGD58OKKiomptz8nJwYIFC9C9e3eEhYUBAJ599llMmDCh1r7JycnYvn07hgwZ4rT91KlT8PX1xaRJkxAUFASDwYA//vgDer0eSUlJWL16NaTSa06Ya9euxdGjR9GlSxe0b98ep0+fvqH2jRs34q233kKXLl3wr3/9C0ajEd9++y0effRRrFu3Dl27dnXpb7Fp0yYkJiZi8ODBuO+++6BWq3H06FGsXbsW27Ztw7p169CxY8d6f3/OnDmwWm8uWf+zzz6Dn58funXrhsrKyhsW4f3555+YOnUq5HI5YmNjERkZiaNHj2LRokU4duwYvvrqKxJJye6EB7A5HI5gGAwGJCQkOH6+PqCdnJzMShaqPmvhVks0CrDJ8Ls5n7UEQbhqJjBZUQazVsBxI1QCZFT6lZ4EjfOkUmmulRHpJ0zgc3unqjVrCYJQZKdhUWwk8JkFgBOVOawlcNyIr5xGK4MrZvEnFAOAyUbDQjzUS/yW8NkWGvMxH6n4ExYBwFvKK1EbIjo6GtHR0bW2L1iwAADwyCOPOLbddddddR5j/fr1AICHH37YabtOp6u175QpUzBnzhysW7cOhw4dwh133OF4bd68eQgNDYVCocCiRYtuGMAuKSnBvHnz0KpVK6xbtw4+PtUOEffddx8eeOABzJ07F//5z3/q/f26uPfee/H000/Dz+9a8tXEiRPRs2dPvPPOO/j3v/+NhQsX1vm7P/zwA37++We88sormDdvnkvjAsCePXsciQRTpky5YQD7ww8/hNlsxurVq9GrVy8AwKOPPor27dvj888/x44dO/Dggw+6rIEyPIDN4XCYoNPpkJmZiaioKBw5cgSBgdWZlCytxDmc5gCVh/hgTThrCR7Hi0g1PRV8CFQ1AICUiD1okaWCtQRBsMtoVB11IFJRX0og6FlKpFepRkJjKaacSK/vVkoa1vdhBCyKASDDSKMCu8oq/nsKAPjIaTzDl9nEX7VLZT5GpV2DyU6jdZW7sVqt2Lx5M7y8vDBq1Kgb7nv27FkcOnQIffr0uWF18vVEREQAAEpLS+vc3hiSkpJQXl6OqVOnOoLXANC6dWvce++92LJlC3JzcxEe3vh1wVtvvbXO7Q888ADeeecdZGRk1Pl6YWEhPvzwQzz++OO45ZZbGj3e9dRVBV8XJSUlSE9PR/v27R3B6xrGjRuHzz//HN999x0PYLsIjVkTh8NhgtForPc1g8GAqKgo5Obmwmg0omfPnkhPTxdQ3TUiO9/Y9qS585JsOmsJgvCLjYalZBWBiScAWCTin6xUEql8pEKltf57mpgwELkGBSpoLMIrJNKGdxIBuVYaVWQUHBLybDR6JkcpaSRdUCHPRKOX8GUKDkoAjESehewE7ikAnUC9RS7++XUJkZZOBiIW4n5E1kuGDh16w9eTkpJcOt4vv/yC/Px8PPTQQ07B4brYtGkTgNrV19dTVlYGs9mM8vJyHD58GN988w38/PxqBWBdIS0tDQBw++2313rt9ttvx5YtW3D8+HGXAtj1kZ9f7WIZHFy3A+LcuXOh0Wjw4osv4vjx400e70aYTNX3G42mtpNLzba0tDTY7XZuI+4CPIDN4XA8Rs2FGwBCQkJqva7X6wEAsbGxSEhIQHx8PBISEhAXF+fojy2RSDzeI65bokcP73GoBHapVAVSOU8ZaARVKCAl8uAdIKdhUawmUhVYTKQqUCVRsJYgCJU2GovTZl6pwuFwOBw3Eayi4Rwgl9BwxfInUJ18xUIjYZFKBbYNNJyi3L3ytWHDBgDV9tk3wmQyYcuWLfD398d9991X734zZsxAamqq4+fbbrsNb731FrTam0+2rAkqt2rVqtZrNdvy8vJu+vjXU2MbPn78+Fqv/fzzz9ixYweWLVsGLy/Pr+cEBwdDq9Xi7NmzuHz5slMs5ODBgwCAyspKlJSUICAgwON6xAKNFSoOh8Oc0ND6+0xHRUUhPj4eBQXVVl2rVq0CUG0znpub6whmczgUoPIQ/3dlLmsJHqf9db15OC0fAxFb2wIzjerHLqr6n0vEBJVAvQ+R9hsk3k8aj0EotdFw9fAj0seTIy6oBDxzqq6yliAI4epA1hIEgYIdM5Vk/worgec90HE4O5GU4rZjFRQU4Oeff0aXLl1w22233XDfn376CUVFRZgyZQpUqvqfx1577TWUlpbiypUr+O2333Du3Lla9uGuUlVV3a9eqaw9R6vZZjA0/XP+1VdfYdeuXRg2bBjGjRvn9Fp5eTneeecdjBo1CnfffXeTx2oMEokETz75JD777DPMmDEDr7zyCiIiIpCWloaPPvoICoUCZrPZLedOCR7A5nA4zKmpxB45ciTi4+MBAMnJyYKNv+H3ll0JOslGI6giI2KD2lVBY4LdQ1G3vY+YMIKGLV+EIoC1BEGoImLlFqqgkXhxlYgFIYXFTADuL21opqgIBFUMBPp8A4CvhEbShaedtDjCYieSYeKvoOG6Q6WdSiWRhCEKz3xBRD6zGiIOSl5EnL/cyebNm2G1WvHII480uG9j7MMBICYmxvH/0aNHY8WKFZg+fToSExNv2ka8xi77emfWGmq2qdVNc41YvXo1EhIS0LdvX8yfP7+WJfcnn3wCg8GAN954o8FjFRcXw2x2Xu8JDAyETOb63Gv69OkwmUxYvnw5pkyZAqA6aP/cc89h7969OH78eIPW7xxn+JWCw+E0G1q1aiVo4LqGgLxFgo/pThQB4l/MBECmP0i6mUYmfBcCgXolkYjKJVMRawmCQGXR1puA/SAAKAgEAgHARMQ5wE9C43NLASrPe1eIJNGEyL1ZS+C4ESq2tlTOk0pg12wTf2AXoOHkRqUC+5zxMmsJgkAlcdpd2O12bNq0CWq1GmPGjLnhvpcuXcJvv/2Gnj17omvXri6NM3bsWHz88cfYsGHDTQeww8LCAFTbhHfs2NHptRrr8LrsxRvLypUrMW/ePPzf//0flixZUqvn9MmTJ7FhwwY899xzKC8vR3l5dfuBGmvzkpISXLx4EUFBQfDx8cELL7zgZKMOVPcmj4yMdFmbRCLBzJkzMW3aNJw+fRoWiwWdO3eGr68v1qxZg9DQUB7AdhEewOZwOM2GGuvwGuLi4gDA4xbikaU3d0NuLvSM2s1agiBIxT8fI0VriN9S8jJoVJFRwUakioyKlZuvXNPwTiLAm4h9r9VOw/HCSsDZI0Tuy1qCILSW0ajwLCbSn54jLqg4f/nKaDwLldhpJAyZCDjzhclpBH3K5DSeEag8v7uL33//HZcuXcKYMWPg10C7uk2bNsFutzdYfV0XRmP1ekBJSclN6QSAHj164L///S+OHDmCu+66y+m1o0ePAgBuvfXWmzr2119/jc8++wwDBw7E4sWL67RHz83Nhd1ux5dffokvv/yy1uurVq3CqlWrMGfOHEyaNMlho3491/evvhnUajV69Ojh+Pn48eMoLCy8qfeEOjyAzeFwmg06nQ4Gg0HwKuxjhlmCjudu3pVHs5YgCFnWctYSBCGASBVZYulx1hI8zr1+NL6bUiLVciEKf9YSBCHPdPMT1ZZEEJHgUZG1irUEQbhsKWMtQRBiVDdfqdBSuGihcQ36uSqPtQRBoGJRzBEX+cZi1hIEwWilkWDiTSRp8Wyl+O8ruXIaayUBChruJUYiLbrcxcaNGwGgQftwq9WKLVu2wMfHB/fff3+d+1gsFpSVlUGr1dZ6bfXq1QCA22+//aa1Dhs2DHPnzsXGjRsRFxfnqDjOycnBzp070bdvX4SHh7t83K+++goJCQkYPHgw/v3vf9fZYxuoDo4vXLiw1vYzZ85g0aJFeOCBBzBixAh0794dgLONuicwGAz46KOPoFKp8NRTT3l0LDHCA9gcDqdZ8MADD6CyshJlZcIvQAYtLxZ8THfiAxo2qFSyMyuI2L1GaMTfA9tKwMYNoFOZbCDy3fQnkvF/xVLBWoIgGG00Foao2L1espQ2vFMLJ1JOw04y10ij/YaZQE9WjvgIVtK4DlFx3aHSBkglqzuQIyaorAkFymgEsCu5S0ujKSwsxJ49e9ChQwf06dPnhvv+/PPPyM/Px6OPPgovr7rn9pWVlbjnnnswbNgwdO7cGcHBwSgsLMT+/ftx+PBh3HLLLXjsscecfuePP/7AH3/84fg/AGzdutVhvT1mzBhEREQAAPz9/fHqq6/i3XffxaRJkzBx4kSYTCZ8++23AIA333zT5b9BYmIiEhISEBwcjOHDh+N///uf0+ve3t4YNmwYgGoL85EjR9Y6xsGDBwEAnTp1qvP1+vj++++Rk5MDAMjOznZUd9cwY8YMx/8PHTqETz/9FAMHDkRYWBguX76MLVu2IDs7Gx9//DHat2/f+JPmAOABbA6Hw5iaquvy8nL0798fR44cwZUrVwTVYNe17ArskwF7WEsQBCo9EYnMr0n0r1IT6YFNpQJbLaHx2Ezl/VQS6YEtJ2K1aCISJMs2iT/o2ZqIhbiXjIa9P4fTEqES2KWCksgzfLld/K47VALYNFYRgDxTMWsJLYatW7fCbDY3WH0NABs2bABw40pttVqN2NhY/Pnnn/jtt99QVlYGtVqNjh074tVXX0VsbCzUamfHg5SUFHzxxRd1jgUAvXv3dgSwAeDRRx9FQEAAli9fjk8//RQKhQJ9+vTBSy+9hOho190Kjx+vdnG8cuUK3njjjVqvR0REOALY7ua7776r1SP7+grv6wPYYWFhCAgIwLp161BcXAw/Pz/06dMHCQkJjopvjmvQuItzOBzmqNVqZGZm1tpuMBiQkJCA2NhYHDlyBN26dcPRo0ehUqkEC2SPGPe8ION4Cs3+n1hLEAQKAU8A8JaKP3MaACoIZNuWEqnYpUKxhUb/PBuRLBoNkWutiV+HRAWF/pZnTVdZSxAErZxGdVUAkR67GUQs4alwxUijlYEXETtmpZTG0negQvwJYFUE1hAAoJzIeVJpY+AOpk6diqlTpzZq36+++qrBfZRKJV577TWXNLzwwgt44YUXXPqdkSNHulTpfCPmzZuHefPmNekY/fr1Q0ZGhsu/t2bNmkbvGxkZ2aj3gNN4aNzFORwOc/R6PeLj4+t9PTQ0FJcvX3YEs6OiorBnD43KYk7joBJUMRJYnAZoVLNqiFR4UrEQ76QOYi1BEPIt5awlCEIUEZviEjuNhaFMYyFrCYJAoSeijUh1lZFIckmmicZ3kyMuNASsmAFAJVWwliAIVKp2r5rE32ZETiQZgcozApX+9BwOp2nQuPJzOJxmQ41leEFBgdN2tVoNo7HaqisqKgqZmZkYPnw4cnNzAQAnTpwQXGtLwU4keETFQtwCGhNsCYGPrZyIawAVqGTCU6nY9SaQRAMAciImhIUyGlVkFJ6FqASwqaAgkswnfuNeWlAJqlCxSg9Sir8yGaCReFFuMbCWIAgyCY3nd18i11pO/RgMBpSVlTW4X2BgIGQyGs+UnNrQWLnhcDjNhhrL8H9WY+v1eowYMcLxf51Oh5SUFEGsxP+7tK9Hj+9p4rq0Zi2Bw3EZCv1KjUSSEahQaqWxYEKF02bx9xIGADWR6qpKG41F+O6qMNYSPE6GSZgWQqwpJFApBwCBCh/WEjgcl6kiYmtLxVqbSgX2hfJ81hI8TrDan7UEQego17KWIAiHqrJYS+Aw5scff4ROp2twv6SkJERGRgqgiNMcofG0wuFwWhx6vd5hJW4wGJCcnOyxsQJDn/DYsYVApk1iLYHjRqj0+jYTCO7KiLyXbZQ0JtjFNiIBbALuCABgJXKiV4hYwlPhgkX8fVmpPAdxOJzmi53IMwKVALaSiOtOOx/xJ7lRcQ04YshmLUEQDETeT079DBgwACtXrmxwv5CQEAHUcJorNO7iHA6nRfDPG1KNlXhUVBS6du2KxMRE9OnTBwAgk8lgtbqngnPEuOfdchxWaPb/xFqCIFBZ0KRynhQsJcvtZtYSBCHbXMxagiBQqd6g0tO8tTKAtQRBMEloWMJTsZSk8P2k4hpAweoVoHPv5IiLCjMNU3gqAewScwVrCYJgsIjfOUAho/GZlRNYKwGAIKUfawkcxoSGhiI0NJS1DE4zh8aVn8PhtAj+edPS6/WIj4+HwWDA1atXER8fD19fX6hUKhiNxkb1yeCIBxuRTHgq52kmYCHuI6GxCE8FCoEjAJAS6LELAAYivb6pBI/UMhrXW28Cvb7NNhrfTSoWxRoFjUA9R1x4yVWsJQgClT67KimN61CodwBrCR6nmEgyApX5mIpI0iKHw2kaPIDN4XCaNWq1GpmZmQgKCkJCQgLi4uJw4sQJ1rI4DNBKxb9oCwBVNhpVuxTsv1SgsShEBSrVchS+mwBgIhLAprI4beT3TtFAwaGFw+E0b9qog1lLEAQq19t8cylrCYJAoWrXSCT5y4dAwiJAx32Qw+E0DR7A5nA4TEhPT0d8fDwKCgpuuF9NFfbp06cd9uEcZ6g89JXYxL9oSwkKwQYDxF9lDgARigDWEgSBRh0rALkvawWCUGWjsQBWTuTeSWHRFgC8ZOKvCqRSgR1MxDbTRsQFgiMuzlXls5YgCAEKH9YSBMFE5L5iIeBwpiKSUEwl0ZaCKx+Hw2k6PIDN4XCYYLPZkJCQgPj4+Ab3VavVCAkJQX6+ZyaSg1cO8MhxheL3djQyxCVEbJS0Mg1rCYKgUIm/KpDKku0lUxFrCYJApU+gUkLjPKngR6SCo8hSyVqCIMgJOHsYibRSEf87WQ1fnOa0REJVAawlCIKPVPxJUQBw2Uyj9RyFtjEUzhEAuqho9AQusNKwhOdwOE2Dr1BxOJxmhU6nw5EjR2A0GmE0GmEyeb5CShcwyeNjeJJx2iTWEjhupMRqYC1BECgsaJqITLCp9OiyE+mBXWKlEQhspwpiLUEQKohUmlPpJ0xh4bazKoS1BEG4YCpkLUEQqDhFccSFN5HALhWXFjWRPrtnSnNYS/A4UT40AruVRCqwy6xVrCVwOJwWAA9gczicZkNNv+tu3bpBrVYjNzeX97vmcDgtFjWR3rNUUBCpwKbidlFso5EsRKFdAwC0JlItZyBgg6olEjhKI+Ia4C/3Yi2Bw3EZKsl8VKy1VUQC2O19W7GW4HFkRObXly00XAOoJKByOJymQWMljsPhtAj0ej10Oh1SUlJQVibcA9uIcc8LNpYn8N7PK7DFhIpIkCyr8gprCR4nRknD3p8KAUTs/eVEFoaKeMa/qPCS0uiJqJKIfxH+mJFG71kqUAk2UIGK606ZmUYAO0jpx1qCINiItKag4ByQZypmLUEQOqhpVJqXW2gkFDeFRYsW4YsvvrjhPr/88gvCwsKQmpqKXbt24Y8//kBOTrUjQ1RUFB588EFMmjQJarVza6kbHfvee+/Fv//9b6dtNpsN27Ztw3//+1+cP38eJpMJrVq1wrBhwzB16lQEBgbWOs6GDRvw7bff4sKFC/Dy8sJdd92F2bNno3Xr1q78GQAAp06dwg8//ICUlBRkZWXBZDIhMjISQ4cOxZNPPgk/v9r3tNTUVCxduhRpaWkwmUxo27YtJk6ciMmTJ0Mqbdwz6s2Mez3p6emYMGECLBYLPvnkE4wZM8blc6cOjVVyDofTLKipsL4Rer0ecXFxAKpvEjab+K0SmwqVCRkVqNi9dvQSf4Y4v3qJi3xzKWsJgmAnck/xJtIbmor1fR6R7yeFnuYhch/WEgSh0FzOWgKH4zI2IvcUP4U3awmCkGug0cqAyvtJoc1IJyKBXbWERrjGX8FdWhpi+PDhiIqKqrU9JycHCxYsQPfu3REWFgYAmD9/PnJycjB8+HBMnjwZZrMZSUlJmDdvHrZv345169ZBpaqd6KLT6aDVap22RURE1Npv3rx5WL16Nfr164fnn38eSqUSR44cwbJly7B7925s3brVKUi+YMECLFmyBL169cIbb7yBwsJCrF69Gqmpqdi0aZNDd2NZtmwZfv31VwwdOhTjx4+HRCJBSkoKlixZgm3btmHjxo0ICrrWJuzHH3/E7NmzodVqERcXB61Wi99++w0ffPABzp49i3fffdcj416PxWLBm2++CaVSCYuFhuuJJ6BxReRwOM0CvV6P+Ph4AEBISP397VatWgWdToerV69i+/bt0Ol03E6cQwYqvQJJWNbJWAvguBMq9oNULKep4C+n4RxQaKlgLUEQjHYrawkep9xKoydrMJXKRwIBFY74oPIspJLRcC+hENgFAH8CblFnDAWsJQhCT69I1hIEQUPAWaipREdHIzo6utb2BQsWAAAeeeQRx7bZs2ejd+/ekMuvhfumTJmC2bNnY8eOHdi0aRNiY2NrHWvYsGGIjLzxZ66qqgpr167FrbfeitWrVzvajj366KPw9fXFmjVrkJKSgkGDBgEAzp8/j6+//hrdu3fHmjVrHJoGDhyIhx9+GAsWLIBer3fpb/HYY49Br9c7BcknT56Mzz//HEuXLsXy5cvx6quvAqgOHH/wwQdQKpVYv3492rRpAwCIjY3FO++8g7Vr1+LBBx9Er1693DruP1mxYgUuXLiA6dOnY+HChS6dL+caPIDN4XCYEBp6LXNSp9PBYDAgPT0dV6442wr36dPH41r29O3i8TE8yXPJ/VhLEIQsIn2ANESCZFEyX9YSPA4V00wq1ThUbFC1RPqVUggEAjR6JgOAXEIjY0hB4M7STeVaNUZLJddKI+kix1zCWgKH4zJaBQ0nCDN/RhAVagLrCFS+mwYi85RuitqW05yGsVqt2Lx5M7y8vDBq1CjH9n796l4bvv/++7Fjxw5kZGTUe8zy8nKoVCooFHVfRwwGA8xmM4KDgx3B6xpq1vevD/Du2LEDVqsVU6ZMcQqo33rrrbjjjjuwc+dOvPfee1AqG59I1bt373rPb+nSpU7nd/r0aRQWFmLAgAGO4HUN48aNw/r16/Hdd981KoDtyrjXc/78eXzxxRd45ZVX4O1NwwnEU/AANofDYUqNrXhUVFSt4LVQRDy/msm47qLnx/NYSxAEKpXJVCzEb4f4bVAPSLk9qJjwk4r/MwsAJjuNxUxfAn0CATpVR2VmGj3NLQQWNI/aaFRgU7H3VxAJHNG4AtGhwkqjL2uogoYTRJ6JRiLNP4NKYoTCcxAAmIic5x/GXNYSBGHo0KE3fD0pKcml4/3yyy/Iz8/HQw89BB+fhpM68vPzAQDBwcF1vj5mzBiUl5dDIpGgS5cumDJlCh5++GGnfbRaLbp3746ff/4ZX3/9NUaMGAGFQoEjR45g+fLlGDBgAPr27evYPy0tDQBw++231xrv9ttvR2pqKv7++29079690eftyvmZTNXrqhpNbWeKmm01Gt05bg12ux1vvvkmoqOjERsbi++//75JY1GHB7A5HA5T9Ho9dDodUlJSMHDgQCQnJwuu4ZYn/k/wMd0JlapAKgHsHvK6HyrFxgmIf4E6EDRs+aQEFksAIMtEo08gCXt/AKFKf9YSBKGKSFIUlWchCr3bqVQESqU0ArvcQpzTEik00XD+KjHTcIIIItKygYJLi51Ib2gq804qLbrczYYNGwAAEydObHDf8vJyfPPNN1AoFHjwwQedXvP19cVDDz2EJqXbwgABAABJREFU3r17Q6vVIjs7G+vXr8dbb72FU6dO1eoR/e9//xs6nQ6fffYZPvvsM8f22NhYvPHGG5BKr12DaoK7rVq1qqWppvd1Xl5ekwPYFosFixcvBlBdWV1Dhw4dIJPJcPToURgMBqfq8JSUFADVfcTdPW4Na9euxbFjx/Ddd985/V04NweNKz+Hw2nW6PV6jBgxAgkJCQCAuLg4XLx4ET179gQApKenw2g0QqFQoLCQxoOcK1AJ7FLhlJnGZzxGEcRagscxgy/aigmNlEZCgh8RC3EbaFQ/UgnsUuj7CABVRPqycsQDFRcIjrjwV9Cw+qTy/aRynpUEkhalRJ5rA+Q0rkFmIpXmrlZY34iCggL8/PPP6NKlC2677bYb7muxWBAfH4/s7GzodDq0b9/e6fW4uLhavzNp0iRMmTIFa9euxZgxYxzr8kB15XJUVBS8vb0xcuRIqNVqHDhwAOvWrYPRaMTcuXMd+1ZVVXvT1GURrlJVO6EZDE13O3nvvfeQlpaGxx9/HHfeeadju5+fHyZMmID169dj5syZePHFF6HVavH7779j0aJFkMvlTRq/vnGB6sD4Z599hieffBJdu3a96TE41+ABbA6H4zFc6WUREhLi+P+qVasQFxeHoqIiaLVaj1uLD145wKPH9zS/t6NRsUvBEgsAVFIat2YZgcQLKmGGCEUAawmCUGSlYRBKxVq7jIhNscVGY2HILqWRkEAh8YLCOQJAIJGki3xbKWsJHI7LUHC7AOg88xmItMehML+m8l4qibTfoPCZdTebN2+G1WrFI488csP9LBYLZs+ejV9++QXTpk2rM1hdF3K5HM899xymT5+Offv2OQLYlZWVmDhxIoKDg7Fu3TrH+uzIkSMREBCAZcuWYcSIEbjnnnsAXLPpNplMTtXPAGA0Vs/D/7ndVfR6PTZs2IBRo0bh9ddfr/X6W2+9Bblcjg0bNjjcXn18fBxV5FbrtXlyYWGh08+Ac5zClXHfeecdBAcH4/nnn2/K6XGug8YqOYfDYUJNVlVjiIqKQp8+fQAAgYGBACBYtfW+qQcEGcdTaCS17UrECJVKcyrVVRUy8U8+e1tpLE6nmrNZSxCErqpQ1hIEwUAkE77UTqO/ZZCi4b5oYqCUSr9SufjfzzwzjYDnmap81hIEwZ+IqwdHXNiJJNKU2mjcO6lUYBcYi1lL8DghRFoAWYlYpVNwDXAndrsdmzZtglqtxpgxY+rdz2w2Y/bs2di1axeeeeYZvPzyyy6NExkZCcB5TX737t24dOkSJk+eXKu4aOTIkVi2bBlSUlIcAeywsDCcPn0aeXl5aNeundP+N7IXbywffvgh1qxZg9GjR2PevHmQyWonfSiVSrzzzjt4+eWX8ffff0MikSA6OhpWqxVvvfWWU3X5hAkTkJ3tvK6VkZHh8rh79uxBcnIy3n//feTl5Tm2X7161fHvxYsXERoaWmd/bk7d0LgicjicZodarcbYsWNRWVkJwPnGKLRN+H+X9hV0PHcT16U1awmCYKMRvyZTeXTS5FlnhebAAGkb1hIEwWan8ZmlEti1EDlPKq4eQVIaE2Mqi9MhUvFXBeaghLUEjhuh0saAIy4kRBKn/YhUmhtt4k+cBmj0+i610HDEMhGpNKfy/O4ufv/9d1y6dAljxoyBn1/d33eTyYSXXnoJSUlJmDlzJl544QWXx7lw4QIAIDj4mttnTdD5n1XK12+7/rUePXogOTkZR48erRXAPnLkCLy8vNCpUyeXtdntdrz//vtYu3Ytxo8fj7lz5zbYY9rHxwe333674+edO3fCbrc7gu0A8Omnnzoqw5sybk0Q/J133qnzOB9//DE+/vhjLFu2DHffffcNdXOuwQPYHA6HCXq9HjqdzqnnRI2lh6+vL8rKylhJa3FQCXhSsRei8n6qCWQV8+mYuCgnYjmtJPDdBIAgGY2qQCr3To1UwVqCIPiBxnlSIJhAoAEAbHxxmtMCURF5FqogUv2oAI1EmghlAGsJHifDktfwTiIgROHLWoIgVBJxH3QXGzduBIB67cNNJhNefPFF7Nu3D/Hx8Xj22WfrPZbFYkFVVRV8fZ0/a1VVVVi0aBEAYOjQoY7tNcHm7du3Iy4uDgrFtTnJ5s2bAcCpJ/eoUaPw1Vdf4T//+Q9GjRoFubz6vnr8+HH88ccfGDdunEuurUB1EPndd9/F+vXrMXHiRLz33nsuJ6UXFRUhISEBgYGBePTRRx3be/fu7ZZxBw8eXGdleWpqKhITEzFlyhT06dMHt9xyi0u6qUPjqYzD4TQrdDodjhw5Um9vax68dg0q1tpUoPJ+aqRK1hI8zu8yGrZ8VJp9BxMJeFK5Bl00F7OWIAj5oPFM5U3gngIAWgI9ETsrgxveSQT8UXGRtQRB8JXTcIHgiAsq/We9JDTunVRsin8trG13Kza6+kWyliAIfeV1994VG+vLTrKW0GIoLCzEnj170KFDB0f7zX/yr3/9C/v27UOvXr0QHh6OrVu3Or0eFRXlqESurKzEkCFDMGTIEHTs2BGBgYHIzs7Gli1bkJeXh+nTpyMmJsbxu4MGDULPnj1x9OhRPPTQQxg9ejQ0Gg2Sk5Oxb98+3Hbbbbj33nsd+3fo0AHTpk3D0qVLMWXKFIwZMwZFRUVYtWoVgoOD8dJLL7n8N/jkk0+wfv16tG/fHr169cK2bducXg8ODsZdd93l+HnHjh3YsmUL+vbti6CgIGRlZWHTpk2oqKjAkiVLoNVq3T5u27Zt0bZt21rHqHGfvfXWWzFy5EiXzpvDA9gcDkdg1Go1MjMz0a1bNyQkJOCBBx5AaWkprFYrTCY2E4vA0CeYjOsuJNqfWEvguBEqFdhF1krWEjxOlEz8vUopoQKNxUwFEWvt1goa1Y9mItWPt0hpVKrkE8gYOmu8ylqCIESoAllLEIQQuTdrCYJwojKHtQSOGzETaadCpQd2sIzGdWhEUEzDO7VwyokkI5yzV7CWIAihqgDWEloMW7duhdlsrrf6GgBOnDgBADh8+DAOHz5c6/Vx48Y5AthqtRojR47EsWPHsH//fpSXl8PX1xcxMTF4++23MWzYMKfflclkWLlyJZYtW4bdu3dj4cKFsNvtiIyMxLPPPotnnnnGUWVdQ3x8PFq3bo3ExETMnTsXXl5euOuuu/Dyyy8jLCzM5b9BzfmdP38er732Wq3X+/bt6xTAbteuHWw2G1avXo3S0lJotVoMHDgQzz77bJ1BZneNy3E/PIDN4XAEpcY6PDMzEwDQpUsXqNVq5ObmArh2YxCSEeOeF3xMd6LZTyOATaUqkEoVGQUrNyuRZAQpkYDnoaos1hI4boSKNV+ZlcbitFpFI8EkWOKa1R6n+eJPpPcsh9MSMRDpP6uW0GhLQcUq/SqBBHEzkX7m/kTcS6gkl7iDqVOnYurUqTfcZ+/evY0+nlKpxIcffuiSBi8vL8yaNQuzZs1q1P4SiQSPPvqok1V3U1izZo1L+8fExGDlypWCj1sX48ePx/jx45t8HKrwADaHwxEcvV6P+Ph46HQ6FBQUIDEx0dEPe+DAgSgqKkJeXl69FuPuZvDKAYKM4yl+b0fDatFGI0aGNkSqdpNKT7OW4HFa+XVhLUEQbHYagfr2ahrXWiORhSEqi5k+RIJkFJKiAKCcQFCFihMNlfPkcFoixWYa1Y/+Chrtcai8n7d5RbCW4HGouLRQwVtKI4mGw+E0DR7A5nA4TFCr1UhJSYFKpaq3f4dQ7Jt6gOn4TUWNsawlcNzIX+ZC1hIEQSUTf6W5jIhrABUuElkwkRD53FLpy1pOpAK7WEajMrmzVPzW91R6YJ83F7GWIAg2Im0MOOKii8Z1a9OWSCmRZwRvVeP6nLZ0ymzibzNSaqliLUEQqCSgUvjMcm5MRUWFoz/0jQgJodEXnlM3PIDN4XCYoNfrMWLECOzcuRMAoNPpHDbiWq0WycnJLOW1KCRE7HupQMUqPYiAfS+VJVsqFuIqIvb+FhuNvo8ccVFJpKK+WCr+hT4q1r1XTKWsJQhCV00r1hIEgUpQhQqXTDQSTJRSGkvCPkTabygl4m+nYifiXhIso+GOcJFIMh+nflasWIEvvviiwf0yMjIEUMNprtB4WuFwOM2SkJAQ6HQ6HDlyBDZbdainsFD46tOWbiH+a7sg1hIEgUpg10qkUuU2pfgzKE1EQthULMT9pDQy4Yk4McNkpxGop5Lk5kUkwcSfwPTdn0hAJVcp/mp6ALhsKWctgcNxmXbKQNYSBKHISiPxgkrbGAuBdYTORJKiqNBRSWMtk1M/Y8eORe/evVnL4DRzaMwOORxOsyQqKgq5ubkICgpCVFQUDAYDioqKcOLECUF1tHQLcY1kHGsJHDfiTWQRPscm/gWTVlIaFsVUKrDNRAKeBWYaVYEUXCAAQEWktxyVCuwSqfirk08aC1hLEIRwhT9rCYKQaaLRGocjLgqJBHY1RJ4RiOQUk3gWMhJxaQlU0LC9NxCZX3Pqp02bNmjTpg1rGZxmDg9gczgcZuj1egDV9uGZmZlITEx0ej0uLk6QYPbuLYs9PoYnGaelETyiQhWRSVl7AtWsVCzOqEDl3aQS2NXKaCSYUKmu4nBaGicrs1lLEAR/OQ0bVI64oJK0aLPReLqVEXFyKzJXsJbgcYKUNOYpZiJZF0crMllL4HA4LQAewOZwOMzR6/UYOXIk4uPjkZ6eDpvNhtLSUlgswgTyRox7XpBxPIVm/0+sJXDciIXIZOWY6TJrCR4nhoBNOkDHQlxGpNLcaKORRHPVWslagiC0k9Oo8pQR8b73gvj7W1KBSmBXJqHx3eSICyqfWz8pjd7QNGbXQA+vCNYSPM6JqhzWEgRBLaERrmmlptGugcPhNA0aV0QOh9PsCQoKQkJCAuLj45GQkICxY8fCYDCgtLQUJpNnrZD+u7SvR4/vaeK6tGYtQRCo9PFsJfNhLUEQci1lrCV4HF6BLS7CiXw3zTIay3wVNjNrCYLwl1H8yUIA0EVFI2HIQuC+YiNwjgBQYqGRROMrp+F2wREXZUTcS6oIWE4DgA+RQH22pYi1BI9jJdDnGwA0RNrKXaqkkZDA4XCaBg9gczicZkFoaKjTz926dUNubi6MRiP69euH5ORkj4192y+pHju2EPTiPbBFRYWdRlClwFTCWoLH6aUMbXgnEUClB/YFi/g/swBQaTWyliAIfkQsxH1k4m/XAAD51nLWEgRBTaCiXkrE6pVKBTaVhASOuPCX0fh+GojMO6nYMVMJ7lKg1GZgLUEQVDIagXoOh9M0eACbw+E0C9RqNeLj41FQUADgWn/swYMHAwBiYmI81g/70oSW3QN7dACNhSEqFdhlNhrBo0iV+O2iTEQWS6hYiCuIWBT7EwnsUqGcyD2FyueWwlWISsBTIaWxFGMjElChUa9LhxIibUaURGyKjUQC9aUEemC38wpjLUEQqPRt9yOSzMfhcJoGjacVDofT7KkJWMfHxzttb926NRISEqDT6WA2mxEVFYXc3Fy3BrNbeg9s7/1JrCVw3IicxPI0YCWwQC0hMvGkUoFN4TMLAMUW8S9+AUCA3Ju1BEGgYkFIpVfgJQKV5lQqsK+YSllLEAQqleYccUElOVMqpTHvtNmtrCUIglbpy1qCx8k1it8mHQACFDTmKX5EnKKaSteuXet9bfv27ejSpQsAIDU1Fbt27cIff/yBnJxqe/aoqCg8+OCDmDRpEtTq2n/vPXv2YOXKlUhPT4fdbkfnzp3xxBNPYNSoUU775efnY+vWrThw4ADOnz+PkpIShIeHo1evXnj22WfRtm1bp/0rKiqwcuVKnDp1Cunp6cjJyUFUVBT27Nlz03+HU6dO4YcffkBKSgqysrJgMpkQGRmJoUOH4sknn4Sfn1+dv3fy5EksXboUhw4dQklJCbRaLbp374633noLkZGRbh/33Llz2LhxI9LT05Geno7i4mJMmDABc+fOvelzpw6NmT6Hw2mxXG8tfvXqVWRkZLh9jD19u7j9mELy4L5bWEsQBCoV2FQqjygEG6gEPKks8lHpE0gFKjaLFiKLtlUSGovwbQlYiCslMtYSBEFK5DNrtNGofOSIi1ZK8V9rASDLWMhagiB4yWj0wKbSBogCVJL5ZESKN9xBnz598Mgjj9TaHh4e7vj//PnzkZOTg+HDh2Py5Mkwm81ISkrCvHnzsH37dqxbtw4q1bXr4TfffINPP/0Ubdq0wXPPPQeNRoPdu3dj9uzZyMvLw7Rp0xz77t27F//+978xcOBAxMXFwc/PDxkZGdiwYQN27NiBFStW4I477nDsX1RUhEWLFiEoKAjdunVDcXFxk/8Gy5Ytw6+//oqhQ4di/PjxkEgkSElJwZIlS7Bt2zZs3LgRQUFBTr+zY8cOvPrqq4iOjsYTTzyBwMBAFBYW4vjx4ygpKWlUANvVcY8ePYoVK1YgMjISMTExOHDgQJPPnTriXz3mcDgtCrVajT59+jht++fP7mZ46mmPHt/TqDGWtQSOG6ESwDYTCapwxMMdqvCGdxIBBiLW95V2C2sJgkAlkYYKXhB/cDfPTKMyWU4kUK8gcp7cQlxcFBC5DlFxo1ETadkQIhd/BfaZqnzWEgSBSpsRvibUeNq0aYMxY8bccJ/Zs2ejd+/ekMuvfX6mTJmC2bNnY8eOHdi0aRNiY2MBVBeILVy4EMHBwdi8ebOjivixxx7D9OnTsWDBAowcOdIR4O3Tpw/27t3rVGQGAIMGDcJTTz2Fjz/+GJs2bXJsDw0Nxf79+x0B9iFDhjT5b/DYY49Br9c7VZJPnjwZn3/+OZYuXYrly5fj1Vdfdbx2/vx5vPHGGxg1ahTmzZt3064jro47ePBgpKamwt/fH1lZWRg6dOhNjcu5Bo0rIofDabbodDoYDAYAQHJyMhMNg1cOYDKuu/i9XTBrCRw34iVRsJYgCBQq6o+bClhL4LiR05Zi1hIEgYI7AgBkmmhUHVFpZaAlsgh/yV7MWgLHTaiIXGtDiNignrDwELaYoNIbmorjxblKGkHPoX4t21mwMVSptKwlCEKY3Ie1BEEIk3ALcVcwm80wGo3w8an789GvX786t99///3YsWOHk6Pp4cOHYTKZMHToUCcLbIlEgrFjxyI5ORnbtm3DjBkzAACdO3eu89gDBgyAv79/LbdUpVLpVB3uDnr37l3n9vvvvx9Lly6tpWH58uWwWq14/fXXIZVKUVVVBZlMBqXStRZbro6r1dK4TgkJjacyDofTLKgJVp8/fx4FBQWw2+2w2WyQSqUwm9nZy33g5b5+2iwYHHo3awmCILNzeyEx0Vkmfmu+Q1YDawkcNxIlr7unktigUpkcqqDxfkbKxF+NAwD5tkrWEgShwiJ+e9AIRQBrCYIgJ5JcEiKhYd3LERe5BhpJbu28wlhLEITW6qCGdxIBp800+kNTIMtCwwWiUEIj+auhCtykpKQGj7Fr1y5s27YNVqsVvr6+GDRoEF566aVGWWDn51cn8QQHXyt+Mpmq26NpNJpa+9dUGqelpTV47LKyMlRWViIkJKTBfT1FXecHAPv370eHDh2QlpaGTz/9FGfPnoVUKkWPHj3w8ssv1xvwb+q4HPfDA9gcDsejXF9hXVBQgMTEROh0OgQEBECr1SI5ORlWK1vbmEDD/5iO31RubfMRawmCIJHQsEGtINJnd4DJtazHlsifRKx72yhpZJgWWGkEyKhU41CxBy20VLCWIAh2ItdbCmSZaCzAB8i9WEsQhGIbjWQ+KtegMCWN5C+rnUY7FSqtq8qsNIJkGqn459dUvpudVDQCYleIzK+bWooTExODe++9F+3atYPJZMKhQ4ewceNGJCcnY+3atejYsWO9v1teXo5vvvkGCoUCDz74oGN7p06dAACpqamw2+1ODokHDx4EAOTk5DSobfHixTCbzRg/fvzNnl6TsFgsWLx4MQBg3Lhxju1lZWW4fPkyzGYzZs6ciYkTJyI+Ph4XLlzAV199hSeffBIrV65E37593TouxzPwADaHw/EoBoMBCQkJAKqD2df3s1YomodV8vO2V1hLaBIHJIGsJQiClEilijeBiScA/CIXfxWZ3UhjUegSkWBDDzWNHthUeiaHKwNYSxAEKpbwZiILmr7S5vHs7EnOGq+yliAIVBIWbUS+m1TaNeSbaCR/tVKK3ykKAHxkNBwSqKwjdFOIf13osDGPtQRBMBDpDR0qo9FmZH3S9036/e+++87p51GjRmHQoEF4+umn8dFHH2H58uV1/p7FYkF8fDyys7Oh0+nQvn17x2tdu3bFgAEDcODAAbz++uuYOnUqNBoNdu/e7ehlXVOMVh/btm3DypUr0aNHDzzzzDNNOseb5b333kNaWhoef/xx3HnnnY7tFRXVSdzFxcV45pln8PLLLztei4mJQVxcHD7//HP897//deu4HM9AY0WDw+EwQSqVoqDgWg9YvV4PvV4PAIiLi3P0hUhLS4NcLofZbEZZWZngOhdLPxV8THfSE/NYS+C4ESoP8elm8VvzSSXc9l5MUKmu8iYS8CwgElSxEXEvoXK1NRL43F5fAcLhcDgsuGi4zFqCIIQR6SesIOIudMEq/Fqa0FwxlrCWIAhyIp9ZC5FAvSe45557cNtttyElJQVGoxEqlXNCksViwezZs/HLL79g2rRpiIuLq3WMhIQEvPvuu9i6dSu+//57ANV22HPnzkV8fHy9vbaBaktznU6HLl26YOnSpS73lXYHer0eGzZswKhRo/D66687vXb93+Of1eH/93//h9atWyMtLQ1VVVXQaDQoLCys5Q5bny36jcbleAYaK1QcDocJ3bp1Q1FREeLj45Geng6brXrRrbCweQWuCtX3sZbQJO4OGchagiDIiQQD863lrCUIAoWQCpWAJxUL8WKb+F0DAEAmpXGtvWqhca29T92OtQRB2FZ5lrUEQZAReBaicI4A0EEp/ko5ADhnal7zPk9B5ZmPynlabDSCKlTez3MVNKp2O3uL3y2Kiu19jJJdP2EhuUykzYiniIyMRFpaGoqLixEWFubYbjabMXv2bOzatatW9fH1+Pn5ISEhAW+//TbOnTsHlUqF6OhoXLx4EQDQoUOHOn/vxx9/xCuvvIKOHTti1apVCAwU/pn2ww8/xJo1azB69GjMmzcPMplz0kdAQAC8vLzq7c8dEhKCnJwclJaWQqPRYMKECcjOznbaJyMjw+VxOZ6BB7A5HI5HCQ8Ph8FgQKtWrRwV10VFRcjMzERpafOwIBswsZi1hCah3jeWtQRBoFKRQ8VSMrvqCmsJHidMTSOwS8VCvCORXmQFNhq9yKjYvf5lE381DkCngoNCsEEppbFEcbjiEmsJghCoqL96R0xQuadQOU+TzcJagiAYbWbWEgRBSmQdgcL9k4odfCaBanoACJDSaGPgKS5cuACFQuFYawcAk8mEl156CUlJSZg5cyZeeOGFBo8TGBjoFIT++eefAVRXef+T7du347XXXkN0dDRWrFiBgICApp+IC9jtdrz//vtYu3Ytxo8fj7lz50JaRwK+RCLBrbfeioMHDyIvL69Wn/Dc3FzI5XKH/k8//RRGY/0FC40dl+MZxH9343A4TKmxDL8enU4HADhx4oTQcupk95bFrCU0iTFaGg/xVOgopxH0LJZXsJbgcWRETG2pLAq1lnqxliAIhXYaSTRWufitmAE6Pc2jVEGsJQhCvrl5JH96kmA5jYBnOyIV2FT603tJhbfOZMFlM42gCpUgmc1O5BnBK5S1BEH4qyK74Z1aOOFqGvdOKtegk1U03BGaQlFRkVOAuoYdO3bg5MmTGDx4sMO+22Qy4cUXX8S+ffsQHx+PZ5991uXxLl26hGXLlqFDhw4YOXKk02tbt27F66+/jpiYGCxfvhx+fn43d1I3id1ux7vvvov169dj4sSJeO+9925Y6DRu3DgcPHgQiYmJeOeddxzbf/rpJxQUFGDgwIEOq/HevXu7bVyO++EBbA6H4zFq7MMBID09HUajEUajESYTjcVxoYiS+bKWIAhZRKy1z1uKWUsQBCrVchzx8KeJxgS7ykrjHh2mEHbCzQoq1XJXiFjCU7h3TrbRcLv40kqjAjtMTmOekmei0ZeVisV/hBeN61CxWfwJxQDgJaNR5akikEhDxTWgSkLjPH3lGtYSmj1LlizB4cOHceeddyI8PBxmsxmHDx/G7t27ERISgjfffNOx77/+9S/s27cPvXr1Qnh4OLZu3ep0rKioKNx+++2On7/55hscPXoUPXv2hL+/P86dO4eNGzdCqVRi4cKFTn2t9+7di9dffx1qtRpjx47Fvn37amkdM2aM08/ffvutw3m1rKwMUqkUX375JYBq+/LHHnvMpb/FJ598gvXr16N9+/bo1asXtm3b5vR6cHAw7rrrLic927dvR2JiIq5evYp+/frh0qVL+Pbbb+Hr69vo/tWujltWVoY1a9Y4/g9Ux0Rqzj06OhpDhgxx6dypwwPYHA7HY9TYhwNAUFAQoqKikJubC61Wi+TkZMbqrhFZ2ou1hCYxqv3vrCUIgpVIBQeV8+zv3Y61BI9z2kyj7yOV6g0qdpJUrkF5ZhrBhnBlAGsJgkDBWhsAfGRq1hI8zhUireQqb2BTKCZCqPTxJGKVXmKh0WbEj8C1FqATDMwz0JiTRWjEn3jRSkbjWvuXIZ+1BEFopfRnLaHZ069fP5w7dw7bt29HUVER7HY7IiIiEBcXh+nTpyMo6JoLVY3L6eHDh3H48OFaxxo3bpxTALtr167Yt28fli1bhoqKCoSGhmLMmDF49tlna/WNPnnyJGw2GyorK/H+++/XqfWfAewVK1bU6iu9cOFCAEBERITLAeya8zt//jxee+21Wq/37dvXKZAslUqxZMkSLFu2DNu2bUNSUhK8vb0xbNgwvPjii2jfvr1Hxi0pKXGcZw0nT57EyZMnAVS/DzyA7Ro8gM3hcDzG9fbhffr0QUZGBkM19VOovo+1hCYxLHQQawmCQMWihUplQ5ZF/BaE3RQ0LG1TLVmsJQhCoNybtQRB0EgVrCUIggo0omQ2IoFdKok0FHqt5UnFX2UOAMFEAp5U+ngWmmm4QFCZp1wh8n5SSc5UE6nALiLyuaVAX682rCUIwu8VF1lLaPYMHToUQ4cObdS+e/fudenYAwcOxMCBAxu17wsvvNCoftpN0dMQNVXNrqBSqTBz5kzMnDlTsHEjIyObbfyjpcID2BwOx62kp6dj5MiRsNmuVXCVlzfvB+mqz1p4T6SPWQvguBMqwYZIApaSMiLWvXdqIllLEITzFvH3ngUAEwGLYgDoRKT9Rr6dRpUnlQQTM8TvkLDXSMNam8pn9hZZAGsJgpCJq6wlCML/eUWxliAIv1dmspYgCHIJjWQ+NZHkTApW6d4EbNIB4M8qIgniRJL5OBxO0+ABbA6H41ZsNhukUim6d+/u2Hb06FH069cPAJCWlga73d6semFrZhewltAkbKHdWEsQBCmNuC60Mhp9gPKs4rcgbEfE4oxGuBPQErGTpNIzuZLIJ5dKIk0EgaQoAPCWiH/6fsiQy1qCIJyratnzj8ai0NCo2KUClXYN3gQCgQDQWUnDLeqChUbbGAouSkUE1hAAIEYdzlqCIOQQcOXj3JiKigpUVjb8vf6npTmHFuKfAXM4HMGx2WxISEhw/BwXFwcAzarv9fVEVDbOMqW50qmt+KtxAABELOsUoHGeRbYK1hI8zh9EJmTjlG1ZSxCETFvzdhNxFxoCATIAMBKxEKcQ8ASAvy1FrCUIgheRyiMK+MppJCyW25pHwrKnoRLYPU8kEGgm4kZjJODqAdBJEM8yif9Z6KqRhiOWP5HPbGeFlrUEDmNWrFiBL774osH9uCU3bWisaHA4HKasWrUKAKDT6WAwGJCeno4rV66wFXUdfweMZC2hSYzR/sRagiBIiVSRFVqrWEsQhByD+K0Ww1Q0JmQXJTQsiqkEdqn0t1QROc8rNgNrCYJwyVDIWoIgUPh++hEJ7JYQ6VUaoQxgLUEQ8onMUzrIA1hLEIT9BOYpAJAjpREMpNKjvtIq/mc+iYTGtfZsZR5rCYKQKaVxreXUz9ixY9G7d2/WMjjNHBorcRwOp1mQmZmJqKgodOt2zfK6qKgImZmZKC1lN3kaMe55ZmO7A81+GgFsKr2hLUQy4W/1bsNagse5YhF/lTklSogEAm12GtfaUimNxAs7kffTW07D7lVFwB6Uyme2kyaMtQRBqLKZWUvguBEqFdhU+rIWmGi8nxabhbUEQWijEb/FrpHIPaXIRMPJrZMmlLUEDmPatGmDNm3EvzbIaRo8gM3hcATj6tXq7LrExESn7XFxcdBqtSgqKoJWqxXcavz8ygcFHc/ddGlHIwtVRsRa21dKYxG+lECGuJVIMgIV2sv9WUsQBAuR4FGBjYbbRbmdRqCeChSCu1Y7jXungcgiPBUbVCq0k/uxliAIqWYalclhqgDWEgQhu6r5uP95klKL+PtDa4i0UqHi5BYh9WYtgcPhtAB4AJvD4QjG9ZXX13O9xfiePXsEVFRN+6nbBR/Tncgl41hLEAQqFuIVRHoFUsj41xKp3qDCabP4+8oBgMlOo0rFT6pmLUEQqLiXhCsCWEsQhItG8S/C+8hofDfbEkmK0krE7xoAAFQ6M0qIzMeocL6Chk2xN5HWFHKJjLUEj1NFZK2EguMOABw3XWYtgcPhtAB4AJvD4QiKWq1GfHx8s+uDzWn+UFmEp3KeRqv4J592BY33MspOwzUgjUhgl8LiF0d8VBJZ0FRK+fRdLPxacZ61BEGgYsVMhd8rM1lLEASDlYZ7iVbpy1qCIAQoaFR5RhJwSDhYdo61BEHQEHFHUPJ5J4fDaQR8BszhcARFr9cDAOLj46FWq3HkyBHYbDaUlJTAarUy0bSnbxcm47qLB/bVXdkuNqhUYHsTscW6zactawkeJ99Co3dVpoTIIp/Mi7UEQfAhcg0qtdH43HqBRgWHTEKjzUieSfyBermcxmLmbV6RrCUIgoVIYmaphUZbCioEq2g4JBSayllLEIQCo/idvwAgWCb+QH1bIj2TI+U0kkuMvOUah8NpBDyAzeFwmHHkyBEEBQUhMTERI0eOdPxfaCvxiOdXCzaWJ+j18cesJQiCREIjgE3FQvwORRBrCR4nHzQC2FTwJmKDWkWkL6uvhEag3ihhkxwoNAVmGtdbKoF6ClB5rlUQSUBtpaQR8LxM5FpbYhZ/L2GAzj2lgkiCSa5Z/IF6LyKJthcs4n8vAcBso+FwxuFwmgYPYHM4HGbYbDZERUUhPj4eQUFBjv8XFBTgzz//hE6nQ25uLk6cOOFRHVl+hz16fE8zRktjYYhKBbYcNBYSeLYtp6VxyVzMWoIgWO00vpuBcvFXqQB02lKQOU+7+M+TyvMeFcxE7il5JhrBBioBTzORZD6znUaSGxWC5OJv2XDRSKMNIYXnPYBOuwYOh9M0eACbw+Ew5XpL8Zr/9+nTB3369BFMg0S/ULCxPIH941tYSxAEG5H1TAuRwO5Zm/gt6+xEAipUUElpVGBTCWBTwUCkdzuZ76dM/N/Pu1QRrCUIgopIoL5SIv7PLABcJtLru8RCozLZV0GjbYw/kfY4hRbxzzsB4DKB9lWd1DQsxPPMpawlCIK3TMVaQrOnvLwcq1evxs6dO5GVlQWlUonIyEiMHz8ejzzyCBSK6jnQ5s2bodPp6jxG9+7dsXnz5jpf27lzJxITE5Geng6TyYSwsDD07t0b8+bNc9qvsLAQixYtwv79+3H58mUEBARg0KBBmDVrFkJCQmodt6qqCosXL8aPP/6IgoIChIaG4oEHHsCMGTOg0Whc/jvs3bsXSUlJOHr0KHJycqBSqdC2bVs8/PDDGDt2LOTy2iHOvXv3YvXq1Thz5gzKy8sRFhaG/v37Y9q0aYiMbFwrH1fHXbVqFfbu3Ytz586hpKQEPj4+TvvLZDRaJbkbHsDmcDiCo9PpUFBQ4LQtLS0N/fv3h91uh0wmE7Qf9vDU04KN5Qk0knGsJXDcCJUKbArLmRIii9NUoFIVaCLx7aRDEJHF6bOGy6wlCAKF6sdfjdmsJQhCqIJGf0sq7TeCibh6UAlgy4jMx6hUYJttNM6TQtVutr2YtQRBMBFJQPXiAewbYrFY8MQTT+DUqVMYO3YsYmNjYTKZsHv3brz//vs4cuQI5s+f7/Q7zz77LDp06OC0LSAgoM7jv/fee1i3bh0GDx6MWbNmQa1WIzc3F0eOHHHar7CwEA8//DCys7MxduxY9OzZE1lZWUhMTMRvv/2GjRs3IijoWotAq9WKp59+GqmpqRgzZgzuuOMO/PXXX1i+fDmOHTuGlStXQip17T779ttvQ6PRYNiwYejYsSPKysrwww8/4M0338Tu3buxdOlSp/Y8q1evxkcffYTu3btj2rRp8Pb2Rnp6OjZt2oSdO3di+/btdQbemzru8ePH0apVKwwcOBBarRbl5eXYv38/3njjDaSkpODTTz916bw51fAANofDERyDwYDQ0FBcvnxtsTE8PByhoaFISEgQtPpaDNgJTFQAOr0CqVRgV9nFb83HK7DFRSdFAGsJgnDFRsPKzUdCYxpUTmQBjEoFR7nVwFqCx7HxJQpRYSXyLHS6Kp+1BEGgkEQD0Anseklo3DuVUhr3FY1M/P2hNUSSooqtNJKFlETmYzdLamoqTpw4gSeffBKvvfaaY3tsbCweeugh/PDDD5gzZw58fK65wPTv3x/9+vVr8Njff/891q5diw8++ACPPPLIDff96quvkJWVhZdffhnPPPOMY/uQIUMwefJkLFiwAB988IFj+5YtW5CamoopU6bgrbfecmyPiIjAxx9/jG3btmHs2LGN+RM4mD9/Pu68806ndeEnnngCU6ZMwc8//4xffvkF99xzj+O15cuXIywsDOvWrYNKde1eFxUVhXnz5mH37t2IjY11+7ifffZZrWPExcVh+vTp2LZtG+Lj49G6dWuXzp3DA9gcDqeZEBUVhczMTADAwIEDHRYjCQkJiIuLg1arRXJyskfG3r1lsUeOKxTjtDQWEqhApcqzlMAiPK/AFheZBGz5AEAuoWFrVUxkcbrYJv5rLUdcUHkOKiPS91Fdh6Ujh9PcqSTy/aywVLGWIAhUEhKKTOJPGApQ0mjXUGmh8fxeYaFxrb1Zysqq1x9CQ52t82UyGYKDg3HmzBkolbUTVyoqKqBQKOp8rYYlS5YgOjraEbwuLy+Hl5dXnZXRKSkpAIDx48c7be/Vqxfatm2LHTt24K233nIEirdu3QoAmDp1qtP+kydPxsKFC/H999+7HMD+v//7v1rbZDIZRo4ciUOHDiEjI8MpkFxWVobIyEin4DUAhIWFAQDUarVHxq2PiIjqFkmlpaU8gH0T8NkEh8NpFuj1esTHxzt+vj6gnZeXB61Wi5iYGJw4ccLtY7f0Hti2T7qzliAIVBY0NUT6eMoINDWn0nuWCiVWGot8UiLVVb5SGlVHHA6nedJZoWUtQRCK7SbWEjgcl7ESCXgaLDS+nwoZjaVvKpXmFAhQ0AjUB8hptDoaOnToDV9PSkqqc3uvXr3g5eWFr7/+GmFhYejZsyeMRiP+97//4cCBA3jxxRdrBalnzJiB8vJyAHD0Xp46dapTr+bz58/jwoULiI2Nxddff41Vq1bh6tWrUKlUuPvuu/H666879Yg2marvFXX1rtZoNKisrMTp06dx6623wm634/jx4wgNDXUEbWtQq9Xo1q0bjh8/fsO/hyvk51c74FxvYQ5UF8bt2rUL8+bNw4QJE+Dj44NTp05h/vz56Nq1K+6//36PjFtDSUkJrFYrSkpKcODAAXz33Xdo06YNOnbs2KRxqcLvbhwOx62EhIQ4WYO7glqtRnx8PAoKCpCYmIj4+HjodDoEBQUhISEBADB27Fi0b9/eY9XYLREqFuIE4p0A6LyfFIK7VJIuqOBDxKKYinMAlbYUoVIafVkLUMFagiAo7eKfvtuIWE5XEHgO4nBaKqGqANYSBKFSTqP6scpKI1BPIYBNoc83AAQqaDy/U1gTAgD1Tc6vQ0JC8OWXX2LOnDlOBV8qlQpz587FQw89dG0MtRr33Xcf+vfvj5CQEOTn52Pr1q2YP38+Dh06hC+//NJRXX327FkAwP/+9z8YjUY8++yzaN++PQ4ePIhvv/0WaWlp2Lp1KwIDAwEAnTt3xvnz55GSkoJhw4Y5xiwoKMC5c+cAALm5ubj11ltRXFyMqqoqdO7cuc5zCgsLw5EjR1BeXu5kfX4z5OXlYf369fD396+VJPDee+/BZrPhP//5D1auXOnYPmLECMybN6/OYLw7xq1h3LhxyM7OBlC97tC/f3+8++67UChoFCy5G/Hf3TgcjqD8s7e1K+j1egBw3JjVajUyMzORkZHh1Bc7Kyur6UKvY3jqabceT2g0knGsJQgClWBgBYHe0BxOSyRQRiNDPMdcylqCINyiDGYtQRCoVD9SSf6iAJXnvRwibSlC5DQW4Tnigkqf3QJLMWsJguAla5xVbEsnROHLWoLHuWopZy1BEKjY3lvtNtYSBCEpaf9N/66Pjw/at2+Pvn374q677oLBYMCWLVvw9ttvQyKROGy977///lpVxRMnTsTs2bPxww8/4H//+x8eeOABANUW4wBQWFiI5cuXY8CAAQCA4cOHw8fHB0uWLMGqVavw8ssvA6ju4ZyUlIQ5c+bAZDLhtttuQ05ODj755BPYbNXvYVVVtVudwVBtf1+ffXmNpXdVVVWTAtgVFRWOavNFixYhICDA6XWlUonIyEjccccdGDVqFAICAnD48GGsWbMGL730EhYvXnxDi/WbHbeGTz/9FAaDAQUFBUhKSkJJSYnDEp7jOjyAzeFwmKBWq2E03jjjV6/XQ6fTITc3F3a7nV/siUOlIocKZpv4s229iFTsRtlpnGeGpYi1BEFQE6jeAIAsK40FMI2ExvtJBRKVRzTi1wiQ3XzlR0vCTGRxmiMuzlbmsZYgCN5yGtehUjMNlxY1gVZkVAKelwxXWEsQhBAibhc3y19//YXJkyfjiSeewL/+9S/H9tGjR2PSpEl4//33MWjQIEel9D+RSCR4/vnn8cMPP2Dfvn2OAHZN/+fQ0FBH8LqGhx56CEuWLHH0vQaA3r17Y+HChfjggw8cBWcSiQT33nsvYmJisHbtWkcwuubYNbbj/6QmDtCUCuiKigo8/fTTOHXqFN5++20MHz7c6XWbzYannnoKly9fxg8//ODQNHz4cERFRWHOnDnYuHEjYmNjYbVaUVhY6PT7CoWizsB0Q+NeT+/evR3/HzduHD744AM89thj2L59O9q0aXPT504VvqLB4XCYoNfrMWLEiDpfS09Pd6q49jSDVw5oeKdmzO/taFSRUbF7pRKoVxAIkpmIWGJlSmjYD1IJNlAhkEgP7DIirh5U7p1SAs9CVN7LNlIarh5VoFFFlsFagEC0UvqzliAI7VR197QUGznmEtYSBMFO5L4SRKBvcraRRkKxl5yGa0CE3I+1hGbN6tWrYTKZMHLkSKftUqkU9957L44ePYpjx45h0KBB9R6jJlh6fZA2PDwcQLVF+T8JDQ0FUN3D+XqGDx+OIUOG4MyZMygtLUVUVBTCwsIwa9YsAHD0dg4ICIBGo0FeXt2JYPn5+fDx8bnp6uvy8nJMnz4dR44cwZw5c/Doo4/W2ufQoUM4cuQIHnvsMUfwuoaRI0dizpw5OHjwIGJjY5Gbm1vLBrxv375Ys2aNy+PeiLFjx+Lbb7/F999/jxdeeMGl3+XwADaHw2mGtGrVCq1atYJWqxWk1/W+qQc8PoYnUWMsawkcjssUmcVf/dhKGcBaAseNGIkkJFBJvKDyflbYaFiIyyRS1hI4bqIzEXt/E2hUkZUQSaKhQp6JBzzFhEbqun1qS6TSYmAtQRAotOCgkMgHAIFy8ScjAECpjUYi/M1SUFAAAA6b7uuxWCxO/9bH+fPnAQDBwdeer7t06QKNRoP8/Pxa++fm5gIAgoJqJ3LJZDJ07drV8bPJZEJKSgratWuHdu3aAaguPIqJicEff/yB7OxsREREOPY3GAxIT0/H7bfffkPN9VFWVoZp06bh2LFj+PDDDzFhwoQ696s5L6u1dhJlzbaaf0NCQpx6ZAOAn59zYkVjx70RNZXn/0wM4DQOHsDmcDjNAp1Oh4MHD8JgMNRrNcKpmxh53XYxYuOklUa2LRW0BDLEqQTIqOBPpGLXDhqLmRU2GkEVKtWspZZK1hIEQS6RsZbgcc6arrKWIAiFBBL5ACCQwPMeR3xQCeyWW2kEdqk4uZURCAaWmWk871EJYJuI9Pq+WTp16oQDBw5g8+bN6NGjh2O72WzGjh07IJPJcOuttwIAioqKoNVqnX7fYrHg888/BwAMGzbMsV2tVuO+++7D5s2bsXPnTqcK78TERAC4YVV3DZ9//jmKi4uh0+mcto8ZMwZ//PEHVq5cibfeesuxfd26dTAYDBgzZkwj/wLXKCsrw5NPPomTJ09Cr9dj7Nix9e7bqVMnAMBPP/2El19+2SkgvXnzZgDAbbfdBqC6J3f//v3dMm5lZSXsdju8vb2dttvtdvznP/8BgJsO3lOHB7A5HE6zwGAwIDw8HKGhoYJUXV9PS7cQL+3UmbUEQbBT6PsIwEsi/t5VAFBmF/8EmyMuCq1VrCUIAoUAGQBYiVQ/UrmnlLIWIBAUqgI7KmlY91ZY+XMQh9Nc8ZHRsO+lEsCmgorIMzwFIuW+rCUIgoEHsG/IE088ga1bt2LdunXIy8vDwIEDUVVVhW3btiEjIwNTp05FWFgYAODBBx9E79690aVLF4SGhiI/Px8//vgjzp49iwceeKBWv+b4+Hj89ttv+Ne//oUjR46gXbt2SE1NxY8//ohu3bphypQpTvuPHDkSQ4YMQdu2bWEwGPDTTz8hNTUVkydPrhXUHT9+PL7//nusWbMGZWVl6NOnDzIyMrB27Vr07dsXo0ePdvlvERcXhxMnTmDo0KGQSCTYunWr0+tdu3ZFdHQ0ACA6OhojR47Ezp07MXbsWDzyyCPw9/fH4cOHsX37dkRFRTXaAtyVcS9evIjHHnsMI0aMQPv27aHValFQUICdO3fi9OnTGDhwIO677z6Xz53DA9gcDqcZERUVhczMTAwcOBAJCQmIi4tDcXExCgoKPFqVvQLahndqxnQyX2EtQRC4Pai4UEnE/whSQSALHgCi7DQqk4uJLGb6SWhUHZ230LDvonLvpFKpUmIVf+XRaeNl1hIEwYdIf0sqCahUoJBEAwCZBhrXoXAVDSc3q8K74Z1EQCUBdyEqzkKXbTQSp9vLeA/sG9G6dWts2rQJX375JX777TckJydDoVCgc+fOtaysH3zwQaSmpiIlJQXl5eXQaDTo2rUr9Ho9xo0bV8uJIjQ0FBs2bMDChQuxY8cOlJSUIDQ0FFOnTsXMmTOh0Wic9u/Zsyf27NmD/Px8KBQK3HLLLViwYEGdAVmZTIavv/4aixcvxv/+9z/88MMPCAkJwdSpU/H8889DJnM92ebEiRMAgKSkJCQlJdV6febMmY5AMgDMnz8fPXv2xLZt27BkyRJYrVaEhoYiNjYWzz//fC2bcHeMGxYWhrFjx+LQoUNISkpCeXk5fH190aVLF7z//vuYMGECpFIac3N3I/7VYw6H02LQ6/XQ6XTIzMwEAKxatQo6nQ4BAQEAgNOnT3skkP0kWrY19e8SGr0CqVh/UelXml0l/sSLMHXLTo5pLFckNKzSi4lUy1USeT8p9AkEAKudRqV5oYWGHTOFhAQqz3tXTWWsJQgCtxAXFxIi904qgd0qIvPOqyYaPi1tNCGsJXgcKs/vFw3iXysBgFZeNJJLmkJkZCQ++uijBvd77bXXXD52WFhYo44NAPPmzXPp2N7e3nj11Vfx6quvuqyrLjIyMlzaX6FQYOrUqZg6dapg4wYGBuLtt99u0nicuuEBbA6Hc9Oo1WpHsNld6PV6xMfHO/0MwBHY9kQAWxcwye3HFJIx2p9YS+C4kXAidlFeXuK3tS210bDlqwQN6y8FxB84AuicZ4CMxoJJMZF2DRQCuwBgsIq/uspPTmOJIlhJo+rISKAikCM+qFhrm2w0khZDVQGsJQjCpSoazgEU6OfVlrUEQcgg4ibJ4XCaBo3ZIYfD8Qj/DDa7i7S0NIwYMQIAUFhY6Pbj/5MR4573+BieRLOfB7DFRK6FRkXOFQKZ8EEKGskIVKASIDMT6Q1dYBO/FTMAeBPpgU2l0lwjE7/FP5Ue2EVEktzMUvF/ZgEg20qjkrWV0p+1BEEoMIt/ngLQuXfmG1q2415j8SLQmsJI5FpLxUKctxmhTXFxMczmGyc6KhQKhysrhy48gM3hcJod4eHhiIqKgsFQvbBTUFCA4uJiVFZWoqyMRnDPFag89FGxlKRii9VeLX6LsyICvUopYSayyEcjTA8ESTUN7yQCqLyfVHpgF1kqWEvguIkzVfmsJQiCr5zGtZYKeaYS1hIEgUqPernE9T6kLRFvuYq1BEHwlon/c1tJpKWTxU7D4cyXwGeWUz8vvPACUlNTb7hP3759sWbNGoEUcZorPIDN4XCYERJSdwArKioKKSkp6NmzJwDXe11Qgwd2xYVGSqNa7q+KbNYSPE4rNY3+eVQosdLIhKdyDdKAxnmqiISwqfTAphBsOGu6yloCx40oCHxmAYDGEwIdMisKWEsQBIWMLwmLCZlS/M98RSYaBS0dVcGsJQhCDhG3C07dvPbaaygtvfFnwM+PRssdzo3hTyscDocZoaGhdW7X6/WIjY1FamoqbDYaFW+chrGBRqU5lUA9lcQLDqelUUWkX2kneQBrCYKQbaNRsSshcu+k0sqAAv5yL9YSBMFMpIqMIy5aa2i0MqByT6FyHSowFrOW4HGorCFQSUClkjjNqZuYmBjWEjgtBB7A5nA4zZKoqCicOXMGBw8eRFxcHE6cOMFaUrOFW4iLizIbDVssJYHJip1I0kWUnYYtX6VCy1qCIORaaVSyVtgtrCVw3AiF3tAAYLIR+NwSCagopDSWYmxE2m/wCmxxQeX7aaZwTwHgJaMxV7HYxB+oV8nEv4YAAKeMNFwgopTcsY7D4TQMjacyDofT4tDr9bjnnnsAAFqtFn/++Sfi4uKQmZnZoMWIqxxYH+DW4wnNU61Hs5YgCFlEgipUKrC1CvH3K6XyXmZKaCRdhIDG4pdBJv7FLwAosNHoUa+V0ugt97eZRqU5hWq5IIUvawmCkGssYi1BEAIJPO9xxEeOgUYrA5WURvLXZSK9261EEoYoQKX9Rlr5RdYSOBxOC4AHsDkcTrMlMjLS6edVq1YhLi4OWq0WycnJbhtnwMRitx2LBd77x7OWwHEjagm/NYsFKnZ1VMgkYsUsJxAgA4AAKY2EhCwLjd5yVCzEKfTA9iPy3cxlLUAgeECF0xKhkCwEAEabibUEQdAQqcA2W8VfUe+roNF+Q0rkGhSs8mctgcPhtAD4KjmHw3ErarUaRqN7qvH+2SO7T58+bjmu2KDSG5oKBiK2tgUEMuEpVJkDdCzEz9toBAKVBAJkAGAikmAiJ9JDj0rLBguBz+1lCw3HnUgVDdvMSiIBMg6nJeKv8GYtQRCKTTTuK1qV+B1Mysw0HJQ0RNwRKCRmcjicpsMD2BxOHajVasTHx9f5WkEBjV4kN4ter8eIESPcflydTgeZTAarVfwLd65CxaaYCt5EJiud1KEN79TCKbLS6IhIxUKcSkW9FTSq5ZRE3C5o3FHoJAwVE7FKp0CWsZC1BEHwl9OoluOICwq9hAHATOQ8tUrxB3YBoJTAM0KQ0o+1BEGgUoFNITGTw+E0HRorNxyOi+j1+npfqy+wzbk5dDodDAZDg4kBBoMBoaGhyM11v+He4JUD3H5MIfm9XTBrCYIgkdAI1FcQqVS5YhJ/NSuVgAoVqPQioxKot0loVOxSqWwoMtOorqJga3u7qhVrCYKQJqGRFG3jFuKcFgiVeScVjDYzawmCIJeKf4n/KoE1BICOVbqvTMNaQrOnsLAQn376KU6ePIn8/HxUVlYiJCQEt912G6ZNm4bu3bs79j148CAef/zxOo8TEBCAgwcPOm1btGgRvvjiizr3v/fee/Hvf//baduUKVOQmppa5/5vv/02HnvsMadtX3/9NU6dOoVTp04hMzMTUqkUp06davCcb0RTjpmfn48HHngAZWVlmDVrFmbMmNHocQsLC7Fo0SLs378fly9fRkBAAAYNGoRZs2YhJCTkZk+H00jEf3fjcDjNAp1OV2eQ2mAwICEhoc7EgJpK+IKCAoSGhiIoKAhXr16FyeTeAJ8uYJJbjyc0Y7Q/sZbA4bgMheAuFUtbKlBp1yAlsmhrt9N4P0vtBtYSBEFJYNEWoJGQcMSYx1oCh8MhDoVewgDQ3pvGovtF4xXWEgQhXBnAWoLHuVBFI/krREHDNaDQIn7XgKZSVlaG8+fPo3///mjdujU0Gg2ys7OxZcsWPPLII/jqq68wcOBAp9+ZOHEievfu7bRNpaq/7ZtOp4NWq3XaFhERUee+Wq0WOp2u1vYePXrU2vbZZ5/Bz88P3bp1Q2VlJQoLm+4+1JRjzpkz56ZcXQsLC/Hwww8jOzsbY8eORc+ePZGVlYXExET89ttv2LhxI4KCglw+Lqfx0Jjpczgc5tRUULtCTSV8TXA7PDwcV69e9UgVdkuGyiI8z4QXF2oC9r1VdhrZ/lSgUPkIADIiPZO9pQrWEgRBZRf/tRag4eoBAFaJ+KtZZTIa1yAKyQgAr8DmtEzaeNEI7J6uzGEtQRBMNhoJCX68ZYNoKLfSaNGlJtI+rym0bdsW//3vf2ttnzRpEgYPHoxly5bVCmD37NkTY8aMafQYw4YNQ2RkZKP29fLyavSx9+zZg6ioKADV1dvuCGDf7DF/+OEH/Pzzz3jllVcwb948l8b86quvkJWVhZdffhnPPPOMY/uQIUMwefJkLFiwAB988IFLx+S4Bo0VDQ6H06JJT09HUFAQEhMTodPpUF5ejp49e+L8+fPIyspq8vFHjHveDSrZodlPowKbSq9vKudpsIt/IUFC5L2kApXvJpVeZCU3kX3dElERqUyOVAWyliAI5TbxL2hSSczkgV0Op/lCxaaYStsYbzkNm+JKIkFPCpRbaTgohSpo9DT3BMHBwVCpVCgrK6vz9aqqKkgkEqjV6kYdr7y8HCqVCgpFw0neNpsNFRUV8Pb2hlRaf+JpTaDZndzMMQsLC/Hhhx/i8ccfxy233OLy76ekpAAAxo8f77S9V69eaNu2LXbs2IG33nrrhlXunKZBY0WDw+G0aGw2m6N6W6/XIy4uDr///vtNWX/UBe+B3TKw0YgdkbEpptCvNEDhzVoCx40YiPTPM4NGUMVLQqMCm0owMMvY9Iz+lgAFJwgvGY3FHx8pjfOstLm39ROHIwRU5mMqItWPBiKBXW8i908KUHjeAwAt74HdaMxmM8rKymC1WpGbm4sVK1agsrISgwYNqrXv3LlzHTbfrVq1wujRozFjxgxoNHX/vceMGYPy8nJIJBJ06dIFU6ZMwcMPP1znvvn5+ejVqxeqqqqgUCjQu3dvPP/88+jbt6/bztXdzJ07FxqNBi+++CKOHz/u8u/XtDGt6++n0WhQWVmJ06dP49Zbb22yVk7d8AA2h8NpcaxatQoPPvggYmJisGfPniYfb9/UA25QxQ6NZBxrCYJApfqRynlS6NFFocqcElQCuwYrjWCDt4LGom2xjUYFB0c8UHkO4s8IHE7zxUrEIcFgqWQtQRAUMhpL3yVE3k+OeMix0HC7GDp06A1fT0pKavAYhw8fxuOPP+742dfXF9OnT8fzz19zFJXL5Rg0aBDuvvtuhIeHo7CwED/99BO+/vpr/Pbbb/j222+dgrC+vr546KGH0Lt3b2i1WmRnZ2P9+vV46623cOrUKbz77rtOGiIiInDbbbeha9eu0Gg0yMjIwH/+8x888cQTmD9/Ph544IHG/kkE4+eff8aOHTuwbNkyeHndXJuFzp074/z580hJScGwYcMc2wsKCnDu3DkAQG5uLg9gexAad3EOhyM6YmJikJmZiT///BMA0KdPH8aKOByOK/CFW05LQ0WkX6lC1jibsZYOlcpkOZGe5koiVulU+iZToMxSxVqCIPCKQE5LxIeI5bRJSmM+ZiSSnKmRiT85s4xIP/NKC40E1CC5D2sJLYbo6GisXLkSJpMJFy5cwNatW1FRUQGTyQS5vHoe1Lt3byxdutTp9yZMmID58+dj2bJlWLNmDZ5++mnHa3FxcbXGmTRpEqZMmYK1a9dizJgx6Nmzp+O1f/aOHjZsGCZMmIDRo0fj/fffx5AhQ+qt8mZBeXk53nnnHYwaNQp33333TR8nLi4OSUlJmDNnDkwmE2677Tbk5OTgk08+gc1WnfBWVUXjuZ4VNGb6HA6nRRMSElJrm16vh06nQ1xcHE6cOMFAVfOBSqUKR1xQsBDXKviETEwYifQJpBLwlEho3DstRKrITEQWNK0S8b+fChmNIH0bIn3bCy0VrCVwOC5TZKy7p6jYoFKZTOWZz2Cl0e6IAm3UNNoEXrWIf00IAE4mHWzyMfz9/dG/f3/Hz+PGjcOYMWNw6dIlfPPNNzf83RkzZmD58uXYt2+fUwC7LuRyOZ577jlMnz4d+/btcwpg10VYWBgefvhhLFu2DEeOHHHSyJpPPvkEBoMBb7zxRoP7FhcXw2x2voYGBgZCJpOhd+/eWLhwIT744APEx8cDqL6v3HvvvYiJicHatWvh48PX/jwJjacVDofTogkNDUVRURHi4+Nx8OBB2O32WjcWylDp0cUD9eLCRKSfMEc8BMluznKK0zyREbmnUAh4ArwCm9PyOFOVz1qCIATyZD5OC4RKYNeLiOtOpZVGNWt+ZRFrCR4nUE3jnkIlsKuSKlhLaLH4+/tjyJAhSExMRFZWFiIjI+vd18vLC0FBQSgsLGzUsWuO5er+V69ebdT+QnDy5Els2LABzz33HMrLy1FeXv2dys+vfv4uKSnBxYsXERQUBB8fH7zwwgtITU11OkZSUpLj3IYPH44hQ4bgzJkzKC0tRVRUFMLCwjBr1iwAQMeOHQU8O3rQeCrjcDgtnvDwcBgMBgQFBSEmJga5ubkA4Jbq691bFjf5GCwZHUAjgG2jEWsgk5AQptKyluBxeNKFuKgiknShIhIIpNLGgEoFNpV+pTKJ+B0SqDwHcTic5kuI0p+1BEHIqrrCWoIgULDWBgApkUpzjnig0k7FUxgM1ck5paU37iVeXl6OK1euoG3bto067oULFwAAwcGNcwJwdX8hyM3Nhd1ux5dffokvv/yy1uurVq3CqlWrMGfOHEyaNAmvvfZarb/jP91gZTIZunbt6vjZZDIhJSUF7dq1Q7t27TxyHpxqaKxQcTicFo9erwcA6HQ6ZGZmIjExETqdDsXFxWjfvj2Sk5Nv+tgjxj3vLplM0Oz/ibUEQaASDPSV0ugVWGETfy8yMxHLaSpQsR+0EukN7SuhsZhZAfFfawHAbKNxvbUR+H76yWksUQQr/VhLEAQzEXt/jri4bCphLUEQqMyvqSRGmaziv95SeS+VEhrPQjYJjfezKVy5cqXOwHBWVhaSkpLg6+vrqP4tKiqCVutcKGK32/HJJ5/Abrdj2LBhju0WiwVVVVXw9fV12r+qqgqLFi0CAAwdOtSxvbS0FN7e3pD9o9XP+fPnsX79egQFBaFXr15NO1k3cuutt2LhwoW1tp85cwaLFi3CAw88gBEjRqB79+4AgJiYGJfH+Pzzz1FcXAydTtdkvZwbQ+OKyOFwmgXp6emIj49HQUEBAECtViMzM/OGv6PT6ZCcnIw+ffo4bb/+56ysrCbpGrxyQJN+nzW/tgtiLUEQ7EQm2FToohB/BfZJE42qBo64EH99ZzUaIgtDXhIa1nytVAGsJQhCMYF+wkNU9VsgioldhousJQhCiMK34Z1EQIXVyFoCx434yDWsJQiCSknjGYGCewkABBFJjKJAOBEXiExj4yyqKbN06VL89ttvuPvuux121ufOncP333+PyspKzJs3DypVdRHMtGnTEBwcjJiYGLRq1QqFhYVISkpCWloa7rjjDsTGxjqOW1lZiSFDhmDIkCHo2LEjAgMDkZ2djS1btiAvLw/Tp093Cuqmpqbio48+wuDBg9GmTRuo1WqcPn0amzdvhsViwfz58x06avj++++Rk5MDAMjOznZURNcwY8YMl/8ejT1mWFgYRo4cWev3Dx6s7kfeqVOnOl+vj5EjR2LIkCFo27YtDAYDfvrpJ6SmpmLy5MkYO3asy+fBcQ0aKzccDqdZYLPZkJCQgPj4eADVVdU1/weqg9V79uwRXJcuYJLgY7qTMVoaFdhUMBKpVAkBjepHDqelYSVS2ZBvFX8gEKDTMznPQCNhiMIifIatjLUEQaBim9laQWMRniMuiow0rkPtvVuxliAIJZZK1hIEodB4YxthMdBaQ6N44wqBhEWATgugpjB48GDk5+dj165dKCwshMViQWhoKAYNGoQnnngCPXr0cOx77733Yt++fVi3bh1KS0uhUCjQsWNH6HQ6xMbGQqG4lrSkVqsxcuRIHDt2DPv370d5eTl8fX0RExODt99+26laGwDat2+PHj16IDk5GZcvX4bZbEZQUBCGDRuGadOmITo6upb27777rlZf6eurom8mgO2JYzaGnj17Ys+ePcjPz4dCocAtt9yCBQsW4L777vPIeBxneACbw+E0C2qqsQcOHIiEhATodDrk5ua6pcc1RxxQsThTEgk2VIJPVjgtCyrJJRYi300qlcmVBNo1AHT6WyoJ9KjPNtOw7qViIZ5nFn9AhcNpqWQRSf6iso5QbjawluB5aJgjIFjuzVqCIFBpn9cU+vfvj/79+zdq36effhpPP/10o/ZVKpX48MMPG62jY8eOWLBgQaP3B4A1a9a4tL8Qx+zXrx8yMjJc/r158+Y1aVxO0xD/DJjD4bQI/lmNbTAYEB4ejqtXr2L79u2OgDYAtwe1eQ9sTnPCRKRvcgVoBAM54oFKcokXkd7QViKB+lYyH9YSBCHHWMRagiCYCCTS+BGx7r1iohHY9Zd7sZbA4bhMW+8w1hIEIZ/IvVMppZG0GOYl/hZdVEivyGYtQRC8iTzzcTicpsED2BwOp9nwz57Yer0eOp3O0Tc7KirKIxbje/p2cfsxhWT0/u6sJQiCjYitrZeURvBISabTrviJstPInE6zEahqAKAhUpmsIJKQkGWhESSLUNFYtC2x0rCdpkBnDQ3r3quWctYSOByXuWwsZi1BEKLUIawlCAKVJDcKCUMSCY1qel+F+N9LDgeoLl4rK2u4bUdgYCBkMhrzd05teACbw+E0G/R6PUaOHOkIWNdsA6r7Y6enp2PgwIH4/fffYbG4rwLFrpvltmMxgffAFhVU7F7DiNi9UiBTYmQtgeNGqLhAUAlgUyGbyOI0hR7YCiLVOEVWGj1ZzUTuKRxxISfQrgEAzlfls5YgCHY7jUR4Cg4mVN5LG5Hz5PMxzo8//gidTtfgfklJSYiMjBRAEac5QuOpjMPhtBhsNhsSEhKc7MSBa9XYBoPBrcFrgFuIc5oXKiILJhdBo5qVIx7aKWhUeFKhkFeyigq1jIZzgJwv9IkGKhbigQoabQz4HUVcWO002oxQQav0ZS2B4yaoVGAHymj0wNYQcR/k1M+AAQOwcuXKBvcLCaHhGMKpGxqr5BwOp8Xwz5tSTdC6qKgIWq0W6enpjJRxWCMFjclKlc3MWoIgFPKqXU4Lw0CkioyKC0SUnMZi5hUbjWutmUBvaAAwEHhGCFP4sZYgCFIC1fQAne8mR1xIiMw722hoBAQURFpXFZjFnxgVSuQZIVJO4zyPVNHo9c2pn9DQUISGhrKWwWnm8AA2h8NpVtTcuNRqNeLi4gAAJ06c8OiYg1cO8OjxPc2v7YJYSxAEO5GFBDmRBU07gZ7mNiLVG22J9MBOtxayliAISiIVnheI9Ia2ELkOlVho2DFTsBC/bG64D54Y8JGpWUsQBJuExjWIIy5aqQJYSxAEKhb/V4ncV8KU/qwleJxyIomZVOihac1aAofDaQHwADaHw2lW1ASutVqtxwPXNegCJgkyjqd4I/gQawmCcNJKpL8lkUB9O6n4LSWvSCpYSxAE8aciVONNxOLMj8h5+kpoWE5biPTQK7fSaEthsou/mpWKPaiRwHsJ0AmQccTFmfIc1hIEIVgt/oAnACikNJIzs43iT7b1JdDnGwDOW4pZSxAEtYSHpTgcTsPwKwWHw2kW1AStAc9XXP+Tlt4D23v/eNYSBIGKhXiMLIC1BEHYXvE3awkeR0uk72MmETt4FZEJdjGRyoZi0DjPCiKW8AFyL9YSBIFC5VEnRSBrCYJw1UYj6cIqpeHScomIS0srAhWeAKCR0UjmK7fQuA6pZTSSFgMU4u+bTKVnsj8Rl5YCIu4IHA6nadBYieNwOM0WtVqN+Ph4pKenw9/fH4WFwk/+/7u0r+BjupO4LjRsd6hU5MiJBOpDCSyAUaiUowSFwBEAaKQ0FvmMvC+rqKASqC82i9/ZI4OI7b2diDuCjYxPCw3yTCWsJQgChVZHABCk9GUtQRCsRO4rR66cYS3B4/QO7sxagiCUEHEWCleIf02Iw+E0HR7A5nA4TNHr9QCA2NhYJCYmAoBgva9rePSZVEHG8RQayTjWEgSBSgV2GWhYLVJYSJBB/L1KATo9sM8QWcwsJNJL2EdG43MrtdO4dxaYaFRwUOiBTeV5r9Ai/mQEAPAn4o7AERdRqiDWEgThEgHLaQDwJvLM18YvlLUEj0OlqKGASLKQUW5mLYHD4bQAeACbw+E0C6KiotCnTx8mY+/espjJuO5ijJa1AmHgFRziQi0V/yMIlYrAi0QsxLVSGj3XjFIaSTRUKrAj5X6sJQjCZVMpawmCoCRw74wgUo0jJZCMAABBMhoB7LPWy6wlcNzIqYos1hIEgUrCEIXkLwCw2sX/DH+pisa1tpNXK9YSBIGKqweHw2ka4p8BczicFoFer8exY8dgNpsFtxFvs6ll98C+fdoe1hIEgUq27VEzjUlZFwI9LtNNV1hL4LiRq1YalclSItdauUTGWoIg5FhoVCZ31dBY6FMT+NyeNV1lLUEQqPTxpNKWgiMufOQ0khZDFDSS3CwQv/MXALQj4BxQSsRa+yKRQL2WSBuDptK1a9d6X9u+fTu6dOkCADh48CAef/zxOvcLCAjAwYMHG31cAHj44Yfx4Ycf1vv6xx9/jBUrVkAmk+HUqVNOr506dQo//PADUlJSkJWVBZPJhMjISAwdOhRPPvkk/Pxcv/9kZWVh6NCh9b5++PBheHt7O23766+/sHTpUqSlpeHy5csICgpC9+7d8dRTT6FXr14eGffcuXPYuHEj0tPTkZ6ejuLiYkyYMAFz585t1Hic2vAANofDYY5Op4PBYIBUKsXu3bsRHx+PhIQE6HQ65ObmQqvVIjk52WPjX5rQsiuwx2lpZBRTQU7EdlpBJOOfIx64B4S4UBC51lYQWbTNJxKoD5X7sJbgcahUBOYai1hLEIRKKw2XFo64MNvEX8kKADlErkMKqfiTvwDgXHkuawkep7VG/EF6ShSbabRTcQd9+vTBI488Umt7eHh4rW0TJ05E7969nbapVLVbKXzyySd1jrV69WqcPHkSQ4YMqVfPsWPHsHr1anh5ecForP2st2zZMvz6668YOnQoxo8fD4lEgpSUFCxZsgTbtm3Dxo0bERR0c9/n4cOHY/jw4bW2//Mcjx07htjYWAQEBOCRRx5Bq1atkJOTgw0bNiA2NhbLli3DgAED3D7u0aNHsWLFCkRGRiImJgYHDhxo9BicuuEBbA6HwxyDwYCEhATEx8dDp9OhoKDAEdTWarUoKipCTEwMAHgkmD1iXMuuwNbs/4m1BI4boWKVTiOkwhETSgKVjwBgImA/CABKIouZAVI1awmCUGqjESTTSPj0XSwEKsSfjMDhtFSouNFEqGj0IrtsppHk5q8U/32FiisfFXzkNOYp7qBNmzYYM2ZMo/bt2bNno/ata5/y8nLMmTMHYWFhuOeee+r8PbPZjDfffBODBw9GaWkpDh06VGufxx57DHq9Hmr1tfd48uTJ+Pzzz7F06VIsX74cr776aqPO55907dq1Uef3n//8ByaTCcuXL3dUqQPAsGHDMH78eGzYsMGlAHZjxx08eDBSU1Ph7+/fYPU2p3HwGTCHw2FGTZC6oKAAAKBWq5GZmYmoqChBKq9rOLA+wONjeJJhoYNYSxAEKpMVNZHF6QJbFWsJHI5LVNrNrCUIApXqxwgpjb6seXYaVotFVhr3FAOBBBMqiXxU2hjY7DxlkdPy0MhoWPwXWWi0x/GV0bCEL7bzalax4KfwbngnEWAn8sznLsxmM4xGI3x8Gk5WqaqqgkQicQogN4bt27ejsrIScXFxkMnqflZdunQpcnJy8M033+Bf//pXnfv8swK8hvvvvx9Lly5FRkaGS7r+iclkgtlsrmUZfj3l5eUAgNDQUKftYWFhAACNxvV7Q2PG1WppJIcJCY1Vcg6H0yy5vvIaqO6D3adPH2RkZEAikcBuF+ZhZsDEYkHG8RTqfWNZS+C4ESpBsk5Sf9YSPM4V8EUEMUHF3l8lpTE9yLTR+H5ScQ4Il9PooddZKv7qKpNc/EF6gM6ibaGFxrWWIy68ZTSqAs02C2sJglBlM7GWIAhGq/jPM1wZwFqCIJBxxCIyT2moAjcpKanBY+zatQvbtm2D1WqFr68vBg0ahJdeegmRkZG19p07dy50Oh0AoFWrVhg9ejRmzJjRqIDtxo0bIZVKMWHChDpf//vvv/HVV19Bp9M5AsGukJ+fDwAIDg52+XdrWLlyJRYvXgy73Y7AwECMGDECs2bNQmBgoNN+AwYMwL59+zB79my8+OKLDgvxhQsXwt/fH08++aRHxuW4HxorVBwOp8Xw559/OnpfnzhxQpAxB69svGVIc+RAOxo3S5mdRvCISgU2BahUkUXZa/dTEiP5RKo3qogk0QQRsda+TMTtooxIn125RPzPQgXmUtYSBEFBJFmIIy6oJF5Q6csapaLRT/i84TJrCYIQQKA1RQkRxx2VVMFagiDICDzXAoC9iQ30YmJicO+996Jdu3YwmUw4dOgQNm7ciOTkZKxduxYdO3YEAMjlcgwaNAh33303wsPDUVhYiJ9++glff/01fvvtN3z77bc3DGKfOnUKJ0+exMCBAxEREVHrdZvNhjfffBMxMTGYNGmSy+dhsViwePFiAMC4ceNc/n2pVIq+ffti6NChiIyMRHl5OX799VesX78eBw4cwIYNG5z6ak+aNAn5+fn49ttvnfqHd+nSBRs2bEC7du08Mi7H/fBZE4fDcTshISEu7a9WqxEfH+9kF84zmBqPhIjdKxUMdhqZ8FYCC2BUbDMzJTQCRwoiFdhy0LDNzLPSsM0sJ9IbmkrCEIV7J5WWMVdMNAL1vnIayV9UoDLvpBLYvWi8wlqCIFAJkpkIrCPIQaNi11dKI0E8jEhLpzVJm5v0+999953Tz6NGjcKgQYPw9NNP46OPPsLy5csBVNt2L1261GnfCRMmYP78+Vi2bBnWrFmDp59+ut5xNmzYAABOwd7r+c9//oNTp05hy5YtkEpdv66+9957SEtLw+OPP44777zT5d9v3bo11qxZ47Rt7Nix6NWrF+bMmYOFCxfi/fffd7wmlUoRFhaG6OhoDBs2DO3atcOFCxewfPlyTJs2DatXr64zUN/UcTnuhwewORyO2/lnf4mbobCw0A1KGscHXsJUenuK4WGDWUsQBCp9WaV2Gud5oPIiawkeJ0BOo3dVWyIV2CWgUZlsaGKGeEuBSgW2FxFXj1xLGWsJgmAlkBhF5XkvUkUjWbeSiHUvjZpAOmQar7KWIAhUEhKoOAfkVhaxluBxfBQ0nt+pVGCfrSpgLaHFcs899+C2225DSkoKjEYjVKr612RmzJiB5cuXY9++ffUGsKuqqrBjxw4EBwdj8ODaa8yXLl3CggUL8NRTT6Fz584u69Xr9diwYQNGjRqF119/3eXfvxGTJk3C4sWLsX//fqftn332GVauXIktW7agS5cuju0DBgzA+PHj8cknn2DhwoUAqmMQVquzdX9DxXn1jctxPzRWNDgcTrOlxi4cAPz8/FBaKnw1Au+B3TKw0ZhfQ0NkshKkEH+/UgpZ8ABwkUgF9mUifTx9iGT851tpvJ+VRCzhqVTtUqgiu13VirUEQUgqP8NagiAM8unIWoIgnJLQqGQtsdBwLwkkYMUM0OkNrSSSzFeuEH8qjZecRgDbaKPx/O6voFGB7SkiIyORlpaG4uLiG/aj9vLyQlBQ0A0LxXbu3ImysjJMmjQJCkXtNcmPPvoI3t7eeOCBB3Dx4rViFIPBAAC4ePEiZDJZnT25P/zwQ6xZswajR4/GvHnzIJO530khIiICJ0+edPxsNpuxatUqdOjQwSl4DQBdu3ZFhw4dcPDgQce2CRMmIDs722m/jIwMl8fleAYad3EOh9MsqCt7yWAwYNWqVdDpdDCbzejXrx+OHDmCK1eEWwTYvWWxYGN5gpnB4g8EAsAlazlrCYJAxabYQmAR3kQj2Z8M/kQqdsVf31lNd7mWtQRByLUbWEsQhHIii/AyAtVyRXYaSVG9vaNYSxCE85YS1hIEodBMY54SoaJx7zTZrQ3vJAKoBHYVEhq20xSS3CotNJ5ro7xptDEwE7nWeooLFy5AoVBAq73xvbm8vBxXrlxB27Zt691nw4YNkEgkePjhh+t8PScnB1euXMGDDz5Y5+sjRoxAcHAwfv31V8c2u92O999/H2vXrsX48eMxd+7cm7IebwibzYbMzEwEBwc7thUVFcFsNteqqq7BYrE4vfbpp5/CaHRtDlLXuBzPQONphcPhNAuutxbX6XQoKChwbNPr9dDpdEhJSbmh9YknkOgXCjqe2/msH2sFHDdCob8lAFQQCDZQseWjApXArg+Rxcy/rTT6z1KBSgDbRyr+HvVmAjbpAFBkFX+lHEAjoEIJKu9nnoGGhXiQkkYifCmR662PXMNagsehMr/+uzKXtQRBCCOSFNUUioqK6gxQ79ixAydPnsTgwYOhVCrr3ddut+OTTz6B3W7HsGHD6hzj7NmzOHz4MO68805ERdWdYPnaa6/V6Zi6aNEinDt3DgkJCU5r+Xa7He+++y7Wr1+PiRMn4r333muyY1Z9f4tly5ahsLAQU6ZMcWwLDg6GVqvF+fPncfToUfTs2dPx2pEjR3DhwgX079/fsa13795uGZfjGWisUHE4nGaHwWCo1Stbr9cjNjYWV69excCBA5Geni5IJfbw1NMeH8OTaKzjWEsQBCo9ESkEdgEg3yD+Hl2t1TQyp6lQaKVhm3mZSPDIT0ajop5Cz2QARJ4QaEClb/txY/02jmKCihUzFbKN4n9+B+hUmlcRaTNCpQc2BUrNNFoAdfCq3w5aTJRYaCSXNIUlS5Y4gsvh4eEwm804fPgwdu/ejZCQELz55puOfadNm4bg4GDExMSgVatWKCwsRFJSEtLS0nDHHXcgNja2zjE2btwIAJg4cWK9Oq4P9l5PYmIizp8/j5EjRzpt/+STT7B+/Xq0b98evXr1wrZt25xeDw4Oxl133dWov0ENb7/9NkpLS3H77bejdevWKC8vx2+//YYDBw6gU6dOmDlzpmNfqVSKF154Ae+//z6mTp2KRx99FO3atcOFCxfw3//+FwqFArNmzXL7uABQVlaGNWvWOP4PAOnp6fjyyy8BANHR0RgyZIhL504dGrNDDofTYoiKikJWVhbUajXUajWCg4Nhs1Uvvt6oXweHw2lZqGTiryKzEVksaWun0TP5DJGqIyrJQlQCu3IitpncglA8/G2iUfnYSUNjcbrQQiPYwBEX5TYarQyoVNSbbBbWEgRBQ8ClhQoXqy6zliAIwSp/1hKaPf369cO5c+ewfft2FBUVwW63IyIiAnFxcZg+fTqCgq4VTdx7773Yt28f1q1bh9LSUigUCnTs2BE6nQ6xsbF19rY2mUz4/vvvodVq663QvhlOnDgBADh//jxee+21Wq/37dvX5QD2oEGDsG3bNnz33XcoLi6GXC5HVFQUXnjhBUydOhXe3t5O+8fGxiIsLAxr1qzBpk2bUFFRgYCAAAwcOBAzZsxAdHS0R8YtKSnBwoXOTq8nT5509MoeN24cD2C7CA9gczicZkVNFbbBYEC3bt2Qm1ttnXP69GlIpVJHMNudHFgf4PZjCsnwsMGsJQgClWAgFTQEAthUAoEXJTQW+drLaUyw84hUmmuJ9DQ3gEZgt4qIewlHPJypymctQRB4BTanJVJlpXFPUUtrBzPEiFJKY+lbTWB+TYUgpR9rCYJA5VrbFIYOHYqhQ4c2at+nn34aTz/9tEvHVyqVSElJuRlpAOCoNG7s9qYwYcIETJgwwaXfGTZsWJMD866OGxkZiYyMjCaNyXGGxl2cw+G0KK7viw1U98s+f/487rnnHuzZs8ft4w2YWOz2YwqJZj8NC3EqUAnUq3mGOKeFUULEZpFKxa6JSGCXSm9oK5F7J4fD4XA8D5WKXSoV2FQsxE8WX2QtweMEqLwb3kkEXDXV7jUsRrzkNBKKORxO0+ABbA6H0+zR6/UYPHgwDAYDgoODBemLzeFwOE2FSjICFa4QsUFVEAlgB8hoVAWWgUbihYyI4wWHw+FwPI9WQSNIRiVpsZjIM3z3gLasJXic7Coaa4FUArtUrkGc+qmoqEBlZcMOcCEhIQKo4TRXeACbw+EwQ61WIzMzs1HbW7duDbVajaCgIOzcuRNDhgxBZWUlLJamZ0fv3rK4ycdgyTgtX7QVE1Rsp2nUPnI4LQ+DnUbVUa6NxmImFUxEemBTOU8Oh8NhiYnIs5DBRiPJjQr5xmLWEjhuwmyj8bxn5qtC5FmxYgW++OKLBvfjlty04QFsDofjUXQ6HQwGAwoKChzW4DXo9XrEx8fX+p26tkdFRSEzMxNRUVGIj4+H2WyGRqNBWVlZkzWOGPd8k4/BEu/9SawlcNwIlQB2vrGItQSP01odxFoCx42YYWMtQRCoXIOonGcFEQtxKo4X3Cqd09Kw2mncOzniQkWkN7RaQuM8K2xG1hIEIafiKmsJHsdP5cVagiC0UvqzliAIlww0Kuo59TN27Fj07t2btQxOM4cHsDkcjkcxGAxISEioM1DdEDqdDrm5udBqtUhPT0dxcbFHsq4Grxzg9mMKye/tgllLEASJhEawwUIkSGa3i38RnsI5UkJFxOLMSuRzSyXgSSVQHyb3ZS1BENQErkNUvpvRXuGsJQiCWkJjyelEZQ5rCRw34i1VspYgCBIizwhUEmmi/duwluBxKqwG1hIE4aqlnLUEQRjg05G1BA5j2rRpgzZtxH/t4jQNGrMJDofTrKjPOvyfGAwGhIeH48iRIx7te71v6gGPHVsINJJxrCUIApVFeDmkrCUIglwq/kcQKovwUXYVawmCkE2lSsVOo2KXSoJJmJxGH898Iv0tKbyfVJ73CsxNd5FqCYTIfVhL4HBc5pKhkLUEQWit0rKWIAhKAvNOACi1NNxHtqVTbqliLUEQ2mvCWEsQhAyz+F0DOBxO06FxF+dwOM2K+qzDr6cmyB0VFQWTicZiOufGUAkGqohMsIOVfqwleBwqi/CZEhq2fFR6z/rJ1KwlCAKVXt/ZFhpBMgWR5C8q1XIUKDTTqK7icFoigUoaiRdU7ihGIr2+O6hDWEvwOCfKL7GWIAgaIm0MlHbxOwtxOJymQ2OVnMPhtDj0ej10Oh1SUlLQunVraDQamM1mFBa6Pxu6pVuIH2gXyFqCIMiILE5T6VeqImApWUXkvaRCqIxGzzUjkTYGVK61VCrNTaCRYGIgkEhDxeq1s6YVawmCQMUGlSMu/KQ0kvlKrDSqWQ1WGgHsXFMJawkcN2EikmjL4XA4jUH8q8ccDqfFotfrERsbi6ioKCgUCpw4ccIj43AL8ZYBlWpWKtWPZ6ryWUvwOKFKf9YSOG6knMhCgpzItTZCRqNncqWMxue2iMgivJ2AG41MQiNh8e+qPNYSBMFfTiP5i8NpiVBJtg1QiL/9BkCjPzQVVz5fnkTD4XA4DngAm8PhMEen08FgMKCoqAh5eXmw2aorL2qqrTMyMjw6fkuvwP61XRBrCYJgJxJUuV8aylqCIIT7iH8hId10hbUEjhuhEVIBZBIa19o8G42eyVTcS6hYwo+QiL8n4kbQqCDzlWtYSxAEKgkJHHFRahN/IBAAQhREkvmIWIgHyMU/v1YRsda+aKLRG7q9ksZaJofDaRo8gM3hcJhS0+s6MTEROp0OAJCXl4crV4QL/OgCJgk2licYHbCHtQRBkBAJqmRJaSzCnzcXs5bgcShUylEin4gNKpVgg49UxVqCICiIvJ9UXFoOQ/w9zQeoIlhLEIQUE40KbBsRS3iOuAiR0+iBnWcuZS1BEKi0U/GWK1lL8Dj+Cj/WEgTBaKOxJqSU8B7YHA6nYXgAm8PhMKWm13VcXBy0Wi20Wq3HrMLr1VC8TtDx3E67YNYKOG6knEgfz0KL+KsfNTLxLyJQgsoE20dGI7BLZWHIQqBnMgBoZTSqWSn0wD5gymYtQRCKzeJ/DgKAQAWNQCBHXFDpJRyhDGAtQRAKiCShUrBjNhF4DgIADZFKcwtPcmuQ8vJyrF69Gjt37kRWVhaUSiUiIyMxfvx4PPLII1Aoqj8re/fuRVJSEo4ePYqcnByoVCq0bdsWDz/8MMaOHQu5vHYIcOPGjVi3bh3Onj0LmUyG7t2745lnnsGAAc4upYsWLcIXX3xxQ52//PILwsKcnaIuXryIr776Cr/++isKCwvh5+eH6OhovPzyy4iJiXHp73Az5wcAO3fuRGJiItLT02EymRAWFobevXtj3rx5Hhn3119/xe7du5Geno6MjAwYDAZ88sknGDNmjEvny3GGB7A5HA5zaoLYBoMBaWlpUCqVMJmE68fU0ntgqzGWtQQOx2W8CATJeAW2uFBKaTw2e0toLJj4EkkwURCxEC+2G1lLEAQK7yaVanoOh9N8aUWkyjPTVMhagiBIiNxXwgh8bv+qoJHk1lZDo60ciQfbJmCxWPDEE0/g1KlTGDt2LGJjY2EymbB79268//77OHLkCObPnw8AePvtt6HRaDBs2DB07NgRZWVl+OGHH/Dmm29i9+7dWLp0qZOr5XvvvYe1a9filltuwUsvvQQA2LZtG6ZNm4bPP/8c999/v2Pf4cOHIyoqqpa+nJwcLFiwAN27d68VvE5JScFzzz2H0NBQTJw4Ea1atUJJSQlOnjyJy5cvu/y3cPX8as5x3bp1GDx4MGbNmgW1Wo3c3FwcOXLEY+Nu374d27dvR8eOHdGlSxccO3bM5XPl1IbGShyHw2n26PV6AEBcXBwACF6F3ZKhYq1NBQ2Rp/grJvFb1oUq/VlL4LgRKpWsRUT6PlJBLaEx3Su10vjcektpJF5QgEofT38i7gilFvFXPlLivFG4dmYs8ZXT+H7mVNHoJ1xpFX8yn41IgrjBTqNvO3gB9g1JTU3FiRMn8OSTT+K1115zbI+NjcVDDz2EH374AXPmzIGPjw/mz5+PO++802l9+IknnsCUKVPw888/45dffsE999wDAPjrr7+wdu1adOnSBRs2bHBUcT/22GMYP3483nvvPdx9993w8al20YmOjkZ0dHQtfQsWLAAAPPLII07bi4qKEB8fjx49euDrr7+GStX04hVXzg8A/p+98w6Moure/7N903sjBQgQgkSKIAgCggFUWgBBUEC6ooC6r3UFXpWvGlE0YkOlWuhFqlLegBhURKQJhICUJKSH9LJ9f3/kl5UlnWTnJnPu5x9l9u7MM9ndmTv3nPOcHTt2YP369fi///u/KvoceVyNRoO33noLKpUK27dv5wHsJoLGigaHw2mWVFZdAxU3OC8vL8H7XwPAxq96CXq8pmZaRCvWEgSBSqD+grmAtQRBoBDcNRN5Iksz07BBpVK9QaVPIJV7SrqRhg0qhUVbAJATaGUwwKlqhYcY2VdymbUEQcglYt3LERcUnKIAQE3EdcdZrmYtQRAsBObwbnJn1hIEIUrpx1qCIFwz0XhOuVOKi4sBAP7+9hX5MpkMvr6++Oeff6BUViS39unTp8r7ZTIZHn74Yfz1119ISkqyBVqPHTsGABg5cqQteA0ACoUCI0aMwEcffYT4+Phaba/NZjO2b98OZ2dnjBgxwu61jRs3Ii8vD6+99hpUKhX0ej0kEolN653QkPMDgOXLlyMyMtIWvC4pKYGzszOk0oYVDDX0uLdXonOaBh7A5nA4TKi07vDy8kJCQgKAisVkFgvnvZUt+wYTQSRIJrHSCDaUW2hk2yoILMKbLDQqdoNlLqwlCEIqkUA9t74XF0oiFdgeShpVZEEy8fcT/scsfocWAAgnYg9aYCpjLUEQqNRfU5kjBCs8WUsQBBq+X4BSJf7nTgDwkIk/UH9Jl81agiBQCeyGyMRvew8A0dHRtb4eHx9f7fZ77rkHzs7O+PrrrxEQEIBu3bpBr9fjp59+wtGjR/Hcc8/VGRTOysoCAPj4+Ni2VbbsVKurXjMqt505c6bWAPYvv/yCrKwsPProo7ZK7UqOHDkCFxcX6HQ6jBs3Dn///TcAICIiAvPmzcNDDz1Uq+aGUN35Xbt2DdevX8ekSZPw9ddfY+3atbh58yZUKhUGDBiA1157DSEhIU1+XI7joLGiweFwmh2VluGVaLVaZGRkMLEOn4F8wY/ZlPwKGjdMKj0RqdiDFhGwKZZKqCwL0aDMYmAtQRBkRCqTXaU0qqtciVSR6S0m1hIEwUggadFLKv4FeAD4szSZtQRB8FaIP+mCEmTcaIgE6kuIJE6n6mn0+i5WiD+puMhII6G4szqQtQRBKKVilX6H+Pn54YsvvsCbb74JjUZj265SqfDOO+/g0UcfrfX9mZmZ2LRpEzw8POyC6O3btwdQUYn95JNP2r3njz/+AFDR37o2Nm/eDACYMGFCldeuXLkCi8WCGTNm4MEHH8SsWbNw8+ZNLF++HM899xw++OADjBo1qtb914eazu/KlSsAgJ9++gl6vR5z5sxB27Zt8ccff+D777/HmTNnsHPnTnh7ezfpcTmOgwewORyOoFRnGw4AiYmJsFjYLMppPR9nctymYoxX9dl6nJZJW5kbawmCoIP4zzPJQKPfGhV8ZTQs66gsJFDpoUfF1UNGJKhCgSv83snhcBhzRZfDWoIghKrubPG+peEko5EgLiOQPN3DtQ1rCYJwquwGawmCYLLScKy7Gn/qjt/r6uqKtm3bolevXrj//vuh0+nwww8/YNGiRZBIJBg7dmy17ystLcWzzz6LkpISfPrpp/D09LS9NmDAAERERCA+Ph7vv/++LRC+fft2/PLLLwBgW7evjuzsbBw5cgQRERHo2rVrtcc2m80YMWIEPvzwQ9v2Pn36YOTIkVi6dClGjhzZqJZetZ1faWlFokteXh5WrVqFfv36AQCGDBkCV1dXLF++HGvXrsV//vOfJj0ux3HwADaHwxEMtVqNlJQUrFu3DoB9MDswsCLDMC9P+OxYSewywY/ZlBiXdGItQRCoVGC7Ebk16yD+alYqATKOuHAl4gIh/iW+CgxSGv0t0/Qt202nvhSYxW/HHKjwYC1BEJyIXGvLibiXcMRFmVn8TlEAUETkPHP1NOyYO7k2zhK3JVBAwMUNAHyU4k/2BwBfIq3I7pSLFy/iiSeewNSpU/HSSy/Zto8aNQqPP/44Fi9ejIEDB1apJC4tLcVTTz2FCxcuYNGiRRgyZIjd63K5HCtWrMDrr7+OVatWYdWqVQCAsLAwvPnmm1iwYEEVW/Bb2b59O8xms62/9O2oVCqUlZVVCa6Hh4eje/fu+PPPP3H16lW0a9euQX+P+p5fpQ26v7+/LXhdyaOPPorly5fb+oCbzeYqcQiFQlFtYLqu43IcB41Vcg6H0yyIjY2FVqvFww8/jNzcXNZybDi92LL76Ej972ItQRAak53XkigEDRvUw0WXWEtwONHuEawlcJqQzlIaCwk5oFGxe9OqZy1BEMKIuHqUyGl8ngFy8dsxpxoLWEsQhAIiNqjcQpzTEvFXebKWIAgGK43nTh8VjT67N40lrCU4HGcirXGKTOJPWASAXEMRawnNmm+++QYGgwEPP/yw3XapVIqHHnoIp0+fxtmzZzFw4EDbayUlJZg9ezZOnTqFN998ExMnTqx234GBgVi9ejWysrKQmpoKV1dXdOzY0VaBXVNw2Wq1YuvWrVCr1TX2yA4KCsKVK1fg5+dX5bXKbYWFd5ZYVJ/zCwoKsjvWrfj7+9sdPyMjo4oNeK9evfDdd981+Lgcx8ED2BwOR1BiY2Oh0WgQFxcHoKIK++DBg0w19ZtQwPT4jSUiYQprCYKQahb/AxkAnDM2n+QORxKoFr9lnY6IJZaLhMZ00kCkol78HXYr8JHQWABTEKk1NxP55l4jYK/tIqPRA5vD4TRfrpdmsZYgCK5yGtdbFREL8UCl+B1MrpbR+G22c6bRA/umicYa352SnV1RbFVdu02TyWT3XwAoLi7GrFmzcPbsWbz99tsYN25cnccICAhAQECA7d9HjhwBUGEzXh2///47UlNTERMTA3f36pODunbtiitXriAjIwMREfZFHRkZGQAAX1/fOrXdTn3PLyIiAk5OTsjKqnq9qDy+j48PgIog95o1a+zG3H5ed/J35TQtNFYcORxOs0Wn0+HEiRPQarVISUlBQUEBysrKUF5ebncjdiSD1vSre1Az5vc2Db/xt0SoVGA7S2jYvRoh/uAulcBumJVGIPAyyllLEARniYy1BEEwEAl4pltofG9dpTSuQ3ICv089kb7tIUR6z5YRsRCnEDgCgBxjMWsJgkAlsOsid2ItQRDURNqpeEjF/71VEPksnYicZ5iSxlzoTmnfvj2OHj2K7du3o0uXLrbtRqMRe/bsgUwmw9133w2gIsg6Y8YMnD9/HrGxsRg9enSDj3f27Fls2bIFvXv3Ro8ePaods2XLFgCo0T4cAMaMGYPt27djw4YNGDBggG0t9/z58zh9+jTCw8MRFhbWIG0NOT+1Wo1HHnkE27dvx759++wq2CtbmlZWratUKvTt27dJjstxHDRWVjkcTrNBq9Xassi0Wi1Onz4NjUaD7Oxs2w2sS5cuglZl/5/zOcGO5QgG+w9kLYHThJRZaSzc3jSIfwGsm4JGckmKhIZ1L5WKehWRil0v0FgY8iKyABZvyKt7kAigENylYg/qQqQHNpUAdqaBRo9dmYTGHMFgoWGtLSdwTwEAE5E5/I83r7KW4HCCXGkEPBNL01hL4DQDpk6dip07d2LDhg3IzMxE//79UV5ejl27diEpKQnTp0+3VU9PmzYN586dQ3R0NCQSCXbu3Gm3r44dOyIyMtL273feeQf5+fmIioqCi4sLzp07hx9++AGtWrXCBx98UK2evLw8HDx4EOHh4ejZs2eNunv16oVx48Zh69atmDlzJqKjo5Gbm4vvv/8ecrkcb7zxRoP/Fg09P41Gg99++w0vvfQSTp06hTZt2uD48eP48ccf0alTJ0yZUj8n04Ye9+LFizh06BAAIDExEQAQHx+PtLSK3/SDDz5oN55TP3gAm8PhCIpOp7P1nNDpdGjVqhXi4uKg0WgAADdv3kRSUhJLiS0OKraZMiuNBROrlYZNcZlZx1qCwykm0s9cBhruCB0lLqwlCEIaaCQk+FtpPAaVSWjcU7zlNH6fFKwWqcyDjETm76EKT9YSBOG8iYbbhZVIO5UAtRdrCYJQZqYx51MRSebr4duBtQSHU0ikN3SYyoe1BE4zoFWrVti6dSu++OIL/Pbbb0hISIBCoUCHDh2qWFmfO1dRmBUfH4/4+Pgq+5o3b55d4DQqKgrfffcdjhw5Ap1Oh+DgYEyfPh2zZ8+Gq6trtXp27twJo9FYa/V1JYsXL0ZERAS2bt2K9957DyqVCj169MDcuXPtqsnrS0PPz9/fH5s3b8ayZcuwZ88eFBYWwt/fH9OnT8e8efPg5FQ/B5KGHvfChQtYtmyZ3Zj9+/dj//79ACp6j/MAdsOhsXLD4XCaLWFhYbVmbgnBjYKIugc1Y2QRNAK7VCzE/eTVTxbFhkUt/gUwCZHALhVyQKNKxQ80qgJTJDSqAqVErkPlRKrIKPSHDpPTsGL+szSZtQRB8FbQmNdSgcrclkoFNpWKegWB9hsAkKXPZy3B4UiJfJahMhqJmX/pMlhLaPaEhITg3XffrXNcQwvBYmJiEBMT06D3TJ8+HdOnT6/XWJlMhqlTp2Lq1KkNOkZN3EmhW0BAQL3+dk153LFjx2Ls2LGNOianKjyAzeFwBEetVttswyv7T+h0OuTn5+PSpUswGIRdVJ749HFBj9fUOEnGsJYgCFQW4fVWGgsmnZXit9emUplMpRrnppVGlYpOQqMqMAQ0bIoTreKv2AUAC5HrkJTAaV4x3GQtQRCoVASarTTuKVTwU7ixliAIBWYaVZ46M43nziClM2sJgtBGKX7ngBQjjXYN/5gKWEsQBIWUh6U4HE7d8CsFh8MRnNjYWACw2YbrdDrExcVBq9UC+NeiQygGrekn6PGamt/biD8QCAAWGrFAMj26cizitxD3l9bPlqilQ6N2A7hppmEPmmYVf396ACiW01iEz6OyCE+kzy6FCmwLEQtxNzmNOYKFB7BFRY6RxhyBSqA+21LEWoIg3DTSSOYDgbwoKkUNKgmBDxNAKyLXWk71FBQUwGis3UVLoVDA09NTGEGcZgsPYHM4HKZotVpkZ2cD+DewXbk9IyNDkGD24elHHX4MR8IrsMWFmcjCbRup+C0ly0AjGYEKLlIa1tquRCqTFURSL+RErBapBD0pVLNSme9RgcJ3liM+bujzWEsQBL2ZRvKXRU5jjkCh5RqVee0NA41rUJGchjsCp3rmz5+P48drd0Tt1asXvvvuO4EUcZorPIDN4XCYotPpqu2DrVQqBbMSP7rJU5DjOIohAYNYSxAEKvagVNDx4C6nheFCJBOeRlgX8JHQCNQbJDSuteVEFsCMRFxaKKCS0FiKCVDSqK5KKs9kLYHThBgstVeEiQW1jMZciApZOvH3wI50CWYtQRBKzeJ3qwOAfCruCJxqefXVV1FUVLsTiLu7u0BqOM0ZGk9NHA6nWaJWq3Hs2DF069YN/fv3R0JCgu01IftgLyqLEuxYDqEtawGcpsQEGpUqZw05rCU4nF7KQNYSBIFKMoKZyG+TxqcJXDbTsM2k0qNeTyTYUEJgQdOVgE06JRQSKmlRHE7Lw0jk3qmQ8/uKWMgk0gObCk5EHM441RMV1cLX4jmCwQPYHA6HGbGxsRg6dCjUajV0Oh2ioqKQmJgIDw8PGI1GFBcL02PraQGD5Y7gKJFqHBmZukAa5OgLWEtwOGVKP9YSBIHKL5NG+BpQg4Y1X6iMxoJJqrmUtQRB8Ja7sJYgCBQW+lwJnCMAXCxLZy1BEIoU5awlcJoQKklRzkQSadqqaTyr6K00AvUU5ggFRCp2W6l9WEsQBA8i11oOh9M4eACbw+EwR6fTIS4uDgAwdOhQ9OjRAwcPHhTs+CGelwQ7liOQ+AexliAIFHo6AYCLRPwPngANS3gqgd00IgGytjIaNqhFVhNrCYIgI9JnV0bk3plrKmMtgdNElJr0rCUIgoRXJnNaIBIi906llEYyX5pB/JbTAKCU0lj6prBeQuXeSWGtBAD0FhrPnRwOp3HQuItzOBzB0Wq10Ol0yM7OrnWcn59flX/rdDoMGTIEOp0Op0+fdngldou3EG/DWgCnKVEQCXsGqLxYS3A4SiKfZbCMRuVjtlX81r0AkE/AohgA5BIai9NuUhq923WWlu2mU1+URPomc8SDgsi1lteZc1oibnIn1hIEwUgkSKYgEKg3Efks3aU0KpNLLDSSFjkcTuMQ/92Nw+EwobKqWqPR1DrO39/f7t9hYWFISUmBv78/4uLiMHr0aIcHsA9PP+rQ/TsaJ8kY1hI4TUgRkUl8pi6PtQSHIyXSA5sKuWYaFZ4WK42Mf2cCNosAUEakot5spWHybyTQpZ5KwJPD4TRf9ER6Q/tJaLgLpehqL6oQC2HO/nUP4rQIrulyWEsQBG+FK2sJHA6nBcAD2BwORxASExOh0WjqrMiOjY21C3p36tQJnp6eOHfunKMlcjjNAiWRhdtgJ1/WEhwOjfprOnhJaVSpqIlcg3IsNOrlqAR2qZynjIh1JofD4bDEQCSAfUMv/oRiAPBXebKWIAjnC5JZS3A4nioazl9GItcgKmtfHA6ncfAANofDEQSLxVJtRbZarUZKSkqN22JjY23bp02bxgPZHNFjIrII7ywRv61tCYFKOYBOoF5OJHBEpb+lu1TFWoIgUOn1XSCl4ZDgKhO/pWQ5ETt4X6U7awmCQKWSlSMueFKUuNARuQ75OXmyluBwrER6Q1OZI1C5BjUlFosFEydOxJkzZ9CnTx+sXbvW7vXy8nJ8/vnn+PHHH5GdnQ1/f38MHz4czz77LJycqibkp6Wl4aOPPsKvv/6KsrIytG3bFpMnT8b48eOrPb7BYMC3336L3bt3Izk5GTKZDCEhIRgzZgymTZtWZXxycjK+/PJL/Prrr8jLy4O7uzsiIyPxn//8B1FRjWvnmZiYiHHjxsFkMuH9999HTEyM3etTpkzB8ePHq33vokWLMHny5Hod58iRI9i4cSOSkpKQn58PiUSC4OBgPPTQQ3jyySfh7l7197plyxZs2LABV65cgUwmQ+fOnfH000+jX79+DT9RDg9gczgcttxecV3TNgC2GzMPZNsjJbI4TQULkYeyYgJW6fxxTFyUWmksflmJWIg7EekNTcX63gwawQYTgfP0k9Owk0w3FrKWIAhULOFpeHoACimNz5MKxUYacwQXIr2+g1VerCU4nDIiSW5UArspupusJbQ4vvnmG1y+fLna18xmM5566ikcP34cMTExuPfee3Hx4kWsWrUKZ8+exZo1ayCV/vvdyszMxIQJE1BcXIypU6ciJCQE8fHxWLhwIbKysjBv3jy7/ZeUlGDmzJm4ePEiYmJiMGnSJBiNRqSmpuLGjRtV9Bw7dgzPPPMM/P39MWHCBAQGBqKwsBDnz59HTk7jbPJNJhMWLFgApVIJk6nmllleXl7QarVVtnfp0qXex6r8e48dOxb+/v4wGo34+++/sXz5cuzduxfbtm2Ds7Ozbfxbb72F9evX46677sILL7wAANi1axdmzZqFjz76CMOGDav3sTkV8AA2h8NplqjVakybNg2ZmZnIzc1lLadZQyXgyQP1nJaG+MMMFdB4vKbjjkCl6sgJNALYHE5Lw4dIu4ZcaSlrCYJAJSmKCkYLDXehVmof1hIEIa2cr7OIiUKz+FNpysziT4IHAKWURrgmwimAtYQWRWpqKpYtWwaNRoN33323yus//PADjh8/jilTpmDhwoW27cHBwViyZAl27dqF0aNH27Z/9NFHyMnJwaeffoqhQ4cCAB577DHMmTMHy5cvR0xMDEJDQ23j3333XVy6dAkbN25Ep06datWan58PjUaDLl264Ouvv4ZK1bTuZ6tXr8b169cxe/ZsLFu2rMZxzs7OVSqzG8qsWbMwa9asKtvbtWuHpUuX4sCBA7a/68WLF7F+/XpERERg8+bNUCgq1hwmT56MsWPH4q233sKAAQPg6kojYbepoHFF5HA4LQKtVgudTmf7t1BV1kc3eQpyHEcx2H8gawmCYCESv6aSkBChEP/CEJXALhXKidgPErnUkvl9tpN7sJYgCEoJjcfacJkbawkO5w99OmsJgiAnUplMxe6VIy6oJE53cg1hLUEQ8kw0EoYo3FecpErWEgShmEAyAgBkmYpZS2hRLFy4EO3bt8eUKVOqDWDv3LkTADB9+nS77U888QSWLVuGHTt22AKt5eXl2L9/P0JCQmzB60qmT5+Ow4cPY/fu3Xj22WcBAOnp6dixYwcmTZqETp06wWKxoKysrMZA7MaNG5GXl4fXXnsNKpUKer0eEokESmXjf8PXrl3DZ599hpdffhkuLi51jrdYLCgtLYWLi4tdBXpjCQ4OBgAUFRXZth07dgwAMHLkSFvwGgAUCgVGjBiBjz76CPHx8Y0OqlODxpM+h8Np1qjVamg0GmRnZ2PdunW2QHZUVJQgQexFZY3ru8EaSxsaC0NSGqdJplIlySj+jP8opR9rCYIQbhV/T1YAuE4kE95kpVFdpSbyGJRmprFoS8VCnEKSG5V5kM5KwwaVSnIJFajY2hYQCXiGK8RvOQ0AhRIawUA1gettmj6ftQRB8FLUHZQTA95yGucZHR1d6+vx8fF17mPz5s04ceIEtm3bVm0Q1mq14u+//4a/v78tsFqJWq1Gp06d8Pfff9u2Xbp0CTqdDt26dauyr+7du0MikeDs2bO2bQkJCTCbzejYsSNef/117N27FzqdDp6enoiJicF//vMfqNX/rgsdOXIELi4u0Ol0GDdunO3YERERmDdvHh566KE6z7k6rFYrFixYgMjISEyaNAk7duyodXxWVhbuuecelJeXQ6FQoEePHpg7dy569erV4GOXlpZCr9ejrKwMFy5cwNKlS6FQKHD//ffbxhgMFfP7W/8WlVRuO3PmDA9gNxDx3904HE6zJzY2FgBsfa91Oh3i4uJsfSocHcT+P+eW3U97kP8A1hIEgkYmPJW+rCUEemBLiHxnkyXi/ywBQEGkZtdf5lz3IBFgJBLw9CVix0wj5EmDQIU7awmCcLGMRqW5j5LG50kFKm1GvBQ0rD0vG2n0n3WX0ki21Vlr7gPLaVl0UdGw1j5naFwf5JaCWyPDb1lZWXj//fcxffp0REZGVjumoKAA5eXl6NChQ7WvBwQE4NSpUygpKYGrqysyMzMBAIGBgVXGKpVKeHl5ISsry7btypUrAIAPP/wQ7u7uWLhwIVxcXLBjxw588803uHLlClauXAmJRGIbb7FYMGPGDDz44IOYNWsWbt68ieXLl+O5557DBx98gFGjRjX4b7F+/XqcPXu2xkD+rQQHB6Nr167o2LEjnJyckJSUhG+//RZTp07F0qVLMXz48AYd+//+7//www8/2P7doUMHfPHFF2jXrp1tW/v27QFUVGI/+eSTdu//448/AFRUs3MaBg9gczicZsOtldharRZ//fUX8vLyHH7cfhMKHH4MR9Ix4cm6B4mAG+YS1hIEQfzGXxWEELC1pRHupEO5lYaFOJG4LplkISqLmYUWXd2DREBrAvfOIgIJbgAQoKJR+agn0n6DIy54n11xQaE3NACUEvje+ijF30oFABKJJJdQmSMcjz/SqPe/+eab8PLywrx582ocU9mOsyaL7soe1OXl5XB1dUV5eXmd4yvHABXVx0BFhfGGDRvg7e0NAHjkkUcwefJkHD16FL/++iv69etnG282mzFixAh8+OGHtv306dMHI0eOxNKlSzFy5EhbwLs+pKen48MPP8SMGTPQsWPHOse/9957dv8ePHgwxo0bh1GjRmHx4sV48MEH4eRU/2TvWbNmYdSoUSgoKMDJkydx4sQJFBQU2I0ZMGAAIiIiEB8fj/fffx+PPvooAGD79u345ZdfAMCudSqnftCYrXA4nBZBZSW2VqtFSkoKevTogYyMDHh5eSE/P1+wntgtDSq95dyJ9DtKI9IHqMAq/oUET6UvawmCICNSae4qVbGWIAhGItVVVHCX0Lh3FkH8i7YAjcQoCjbpAJBtKGQtQRC8iVSycsSFq4xGxS6VinqLhMZ9hUJCwk0DjbWSVkSS3EKVNM6zMezduxeHDh3CmjVrqrWlrqTytUoL69vR6yuelSoDtpX/rW28l9e/n0/l/gcOHGgLXgOARCLB2LFjceLECRw7dswWwFapVCgrK8PYsWPt9hseHo7u3bvjzz//xNWrV+2ql+viv//9L3x9fTF37tx6v+d2AgICMH78eKxYsQKnTp1C3759YTabqxTPKRQKeHp62m1r3769rcJ62LBh2L9/P5577jnIZDJbNbdcLseKFSvw+uuvY9WqVVi1ahUAICwsDG+++SYWLFhQY99wTs2I/+7G4XCaBX5+9e8FGxsbi549eyIpKcmBiv7lwA+fC3IcRxHjRaMymQpyEsvTgEoq/lpzI5E+nrIGZM22ZAKJWDFT6ZncDTQqOE6DxkIflYr6HAKV5kYLDdeAEJV33YNEAJXKR464uGmkce/0UdCYCymJJNteLctgLcHhqOU0EjNLibjR6Ik4Rd0pBoMBb7/9Nvr164fg4GAkJyfbva7T6ZCcnAwXFxf4+PjAycnJZg1+O1lZWXB1dbUFTyutw6sbbzAYkJ+fj65du9q2VY739/evMr5yvb+w8N/kzKCgIFy5cqXaWEB14+vi4MGDSEhIwOLFi+0037x50/bf5ORk+Pv711lVHRISYvfejIyMKn3Ke/Xqhe+++67W/QwdOhQuLi7YuHGjnR15YGAgVq9ejaysLKSmpsLV1RUdO3a0VWA3JGjPqYAHsDkcjiBU3uQSExNtva4BICEhgZUkG7EFG1hLaBSmNjQWwGREArtyCY3zpJDxryTyWYZZaVQmX5OIP3AEAGoJjccDbwuNxUwXAtU4AKADjQWwdlLxBxvSrAWsJQgCFXv/MCWN55Sk8uoXjMXGfc6hrCUIQjGRtjHJxgLWEgTBSUIjyS3a6y7WEhzOidIU1hIEIVThyVqCIFBxirpTdDod8vLycPToUQwdOrTK66dOncLQoUMxbNgwxMXFISoqCn/++SfS0tIQHBxst5/ExER0797dti0iIgIqlQqnT5+ust/Tp0/DarWiS5cutm3dunUDUBHsvZ3KgLKPj49tW9euXXHlyhVkZGQgIiLCbnzlPnx96+9YmJaWBqCiCrs6lixZgiVLlmDFihUYMGBArfu6fv263fH9/PywZs0auzHu7u51ajKbzTAajTUG4gMCAhAQ8G8/+yNHKqzk69LHqQqNFQ0Oh9NsCAwMRH5+PjIzM2GxWODt7Y3y8nI4OTkJ0u+6Og5PP8rkuE2FGqNZSxCEhvRGacnoiPQBSivPZS3B4UQoaFhipUioZIiLP+kCAFyILPL9LCliLUEQCohUcBSYylhLEIQyWfU2f2KCynwv10DjGmQhcu+kwrGyVNYSBEFBwCkKAPzk4k+KAoBUPZt1JqFxItJyjQKtpM6sJQhCIZFkoTvFyckJy5Ytq/a1559/HhEREZg7dy6CgoIAADExMfjzzz+xZs0aLFy40DZ2w4YN0Ol0iImJsdv30KFDsXv3bhw4cMAuQL569WrI5XKMGDHCtq1Hjx4ICwvD4cOHkZGRYTumyWTCpk2bAACDBg2yjR8zZgy2b9+ODRs2YMCAAbb5/fnz53H69GmEh4cjLCys3n+LQYMG2arAb+X48eNYt24dpkyZgp49e+KuuyoSeYqKiuDi4gKZzP5+fu3aNWzatAk+Pj645557AFTYnfft27fGY+fk5FRbSb5hwwYYDAZbcL82zp49iy1btqB3797o0aNHneM59vAANofDEZS1a9dCq9XCaDRi3bp1ACp6Xp86dYqZpoO9Iuoe1IwZdjiStQRBkFlpVLNaidhOd3IJYS3B4ZQSqa6iEiCTS2gsZpYTWUjwktLob0klISGZSAC7yCR+O+ZBLm1ZSxCEI+brrCUIQqCi7goWMUDhtwkAViI96qkEdj2I9PouU9L4PC8TcIIwEWkz4k0kXJNppXHvvFMUCgUefvjhGl/38fGxe33s2LHYsWMHvvvuOxQXF9tac65fvx69evXCqFGj7N7/n//8B7///jteeeUVnD9/HiEhIYiPj8fhw4fx7LPP2gWYpVIpFi9ejNmzZ+Oxxx7DE088ARcXF+zZswfnzp3DY489Zmc53qtXL4wbNw5bt27FzJkzER0djdzcXHz//feQy+V44403GvS3aN26NVq3bl1le1lZxTPg3Xffbfe3OH78ON59910MGjQIoaGhUKvVuHTpErZv3w6TyYSlS5dCpaqfk+CIESPQvXt3REVFISAgAIWFhTh+/DiOHDmC4OBgzJs3z278O++8g/z8fERFRcHFxQXnzp3DDz/8gFatWuGDDz5o0HlzKqBxReRwOM2K2NhYaLVaaDSaZmEh7vRiNmsJjcOfRgCbClT6ePoT6Cd80Sj+KnMA6Kqs2gdJjFCpIfMl0hu6jMgn6kYk8SJPSWMBLEDuwlqCwzmuS2ctgdOEZBppVJpzxEW6oYC1BGFQerJWIAh6Ig5nbnLxP19LifQz36O7zlqCIHgTmNcKiUwmw9dff43PP/8cP/30E/bu3Qs/Pz9Mnz4dc+fOrVKN3KpVK2zcuBFxcXHYuHEjysrK0KZNGyxevBgTJkyosv8+ffpg3bp1+PTTT7Fq1SrodDq0bdsWixYtwqRJk6qMX7x4MSIiIrB161a89957UKlU6NGjB+bOnWtnT+4I2rZtiy5duiAhIQE5OTkwGo3w8fHB4MGDMWvWLERG1n8d/cknn8Rvv/2GDRs2oKCgAEqlEq1bt8azzz6LadOmwcPDw258VFQUvvvuOxw5cgQ6nQ7BwcGYPn06Zs+ebetBzmkYPIDN4XCYkZ+fj/79+yMxMRG5uewCPcFl/ZkduymIaMNaAacpcZfS6CdMJbhLASo9sNMk4rfuBYBimFlLEAQqlnWZRD5PNxmN65ASNBISOBwOhyWeChpBFVciltMGK425kIxAC45/ysRfZQ4AHZyDWEsQhE5yGi3XHEFSUlK1211cXPDKK6/glVdeqdd+QkND8dFHH9X7uF27dsXKlSvrNVYmk2Hq1KmYOnVqvfffUMaOHYuxY8dW2d6uXTt8/PHHTXKMuXPnYu7cufUeHxMTY2fXzmk8PIDN4XAERavVQqfTITs7G2FhYcjIyEBgYCACAwPh5eWFP/74AwaDsEGCttN3C3q8pkbGe2CLimxzKWsJghBAwJovy1TMWoIgUOmBLSOS8Z9qoXEN8iFiIe4JGq4eSeYC1hIEoVgq/nYq/kQsp/PNNGzveQ9scSEhMhei0tLpQnkGawmC4CGn0U9YIRX/Ej+VwG6phUbidJKpgLUEDofTAhD/3Y3D4TQrdDod4uLioNVqcfDgQdZyAACD1vRjLaFR/NKaRtaiDOJftAWAEDmNhVsdkUx4ClBZmqbSi8xTSuMapCCyCF9M5BcaJKNhx6aD+Hs/3jDks5YgCD4KGt9ZtYTGvbPQRCMhgUoPbAuR87zbOZi1BEFwJjKHP6/PYi3B4aQaclhLEITurm1YSxAENZFWR5yaKSgogNFYuzOaQqGAp6enMII4zRIad3EOh9PsiI2NtfXCrgxkKxQKmEwmMhnPTYVMQiOwS6XfUSkRW9t8s/j7lcqJPJDRuAIBN6w61hI4TYiCyL2TinPANSIVHAUm8TskPOIUzlqCIMTrUlhLEIRAIhX1VCqTqZwnlUD9JV02awmCoCDyTGawij/JjcpaoYrIc4qJu7SQZ/78+Th+/HitY3r16oXvvvtOIEWc5ggPYHM4HEFQq9XQaDTIzs622YgDQHZ2Nk6cOAGtVotTp04x6YX9f87nBD9mU/JQwIOsJXCakEIzjSCZC4Gea1Ssv6igI9JLmEqfwECJE2sJgmAksgjvJKVhlV5CYBH+Z/0N1hIEwVVGo41BOxmNAPYV0KgKpEKGLo+1BEFQEXgeA4AAtS9rCYJwTSf+61AHFxoW4n+VJLOWIAhuChr2/pyaefXVV1FUVFTrGHd3GnNJTs3wADaHwxGE2NhYAIBGo7HZiFf+uzKgHRgYiE6dOiEhIYGl1BaHmUjWIpUe2FQs6wwW8WeIt5PTsPenAo08eCBU6sJagiDkWWkkmJiJWIhnG2tf+BALKgKBej85DWvtXALV9ABwTJ/OWoIgBCo9WEsQhBxjMWsJguAkU7GWIAhuchrJfNd1whdJsICCM9/VMvHbpAM0PksAcJbSuNZyaiYqKoq1BE4LgAewORyOoKjVaqSkpFT5d1hYmG1bVFQUzp0Triq634QCwY7lCJx+HsNaAofTYKQEEhKSjDQWS7oq/VlLEAQFkRB2MQH7QYCOtTaV1AsKgV2ARvJXNpEAmbecSLIQkUB9pqGQtQRBoBJUsRCxKS400ujd7iqn4XjhSyAB7HJZBmsJguBCJLlELeVhKQ6HUzf8SsHhcAQlNjYWGo3G7t9arRaJiYnQ6XSCBq4rObrJU/BjNiVDAgaxlsDhNJgyi/h7fcuIBI6oYCRSyeoqoREI9CbyGORlFb/lNADkSmkswstl4v88b5pKWEsQhH/KaVSReSvEH1DhiA+dWc9agiBQcThzB41g4ImCK6wlOBwPJQ3LaSWRwC4VVw8Oh9M4aFwRORxOsyI/P98uiM0twxsHhWocgE7GvzOR4FGxVfwLQ1S+s2FWGtZf3kR+m/4W8QfIAOCmlEZCgheNluZkrrc3DOLvy6qU0FiisBJpAWS0ErkIEcFKpNURleARlf6zVFp09fWKYC3B4ZwtSal7kAjoqKTRtz3FRKMFEIfDaRw0ZmUcDkdQbrcJr0Sr1eLUqVPIzW1etrqLylp2z4227T1ZSxCEGyYa2ZllVvFXJgNAdwK20ycNNKqrUiTiT0YAgCyLjrUEQThDJNjgYqWRkHCOSKD+WnkOawmC0Fbtx1qCw3EiEsBWEAmQ+ROwtAXo9DQvNNFwu3AmYjldTMRCnArBSk/WEhxOO+dA1hIEIcNMw42mo8KbtQQOh9MCoPHUxOFwBOV2m3CtVgudTof8/Hz4+Pige/fu0On+DQTk5+czsQ6v5PD0o8yO3RQ4mWn0wKZicSa10jhPHQE7ZgmRHrutiVRgF0gMrCUIQomFRkJCqIRG/9ksK43ECyoV2JlG8ffZpVKBbSZSgZ1ppFFdVWQqZy1BEKhca6n0wO7iEspagiBkEEmEp3K9pYCUyDpChoRG8heHw2kcNJ4OORwOU3Q6HeLi4gBUBLNTUlKwbt062+tarRYFBQVo27YtAOEtxVt6D+wH/PqzliAIVBZMqCxoqgn0h6Zis5hMpAKbyMeJQBmNwK6ZyAcq/ittBVQShijgLadxDco306h8tBIJBFKBytyWyj1FR8R1J7WMhktLG5cA1hIcjppIktv18mzWEgSBypyPw+E0DhpXfg6H02yIjY2FVquFRqOpEqi+ceMGE03cQrxlQMVCvK3Ck7UEThNBZfGLSgV2DpFKVguNry0KzDQSLwxEFqc9FTQWwErN4r8OFRNxgWhPxDaTSoDsPJEKbCpzWyqJ0xRcPQDAVeHEWoIg+MjE39O8iMA8CACmuLXsNcr68o+VRjJfY+nYsWONr+3evRsREREAgClTpuD48eM1jm3dujUOHDhgt+3gwYNYs2YNEhMTYbVa0aFDB0ydOhUjRoywG5eVlYWdO3fi6NGjuHbtGgoLCxEUFIR77rkHc+bMQevWre3GX7hwAXv37sWxY8dw48YNGAwGhISEIDo6GjNmzIC7u3tD/wwoLS3FmjVrcOHCBSQmJiI9PR1hYWE4ePBgteMPHTqE+Ph4nD59Gunp6VCpVGjdujXGjx+P0aNHQy6vX1j0008/xWeffVbrmF9++QUBAeJPImIFD2BzOByHUtkPW6vVIiMjA5mZmc2uB/bry1t2duMr6MBaAqcJuWYsYC1BEO5Wir+PJ5UqFSoV2G5QspYgCHrQCDa0lbmxliAIpUQ+z0wi1axGi4m1BIejM9No1+CpoHFPybTSCOxSgcrcNljpxVqCIPxTnsVagiAopTSWvqkkLVLgu2J2LRaFJMK5FWsJLYaePXviscceq7I9KCjI9v9z5szBuHHjqoxJSEjA7t278eCDD9ptX7lyJT744AOEhobimWeegZOTEw4cOIAXX3wRmZmZmDVrlm3soUOH8Mknn6B///6YNm0a3N3dkZSUhM2bN2PPnj1YvXo17r33Xtv4FStW4Ndff0V0dDTGjh0LiUSCY8eOYfny5di1axe2bNkCHx+fBv0N8vPz8emnn8LHxwedOnVCQUFBreMXLVoEJycnDB48GO3atUNxcTH27t2LBQsW4MCBA/jqq6/q1apyyJAhCAsLq7I9PT0dH3/8MTp37syD1w6Gxl2cw+Ewo7Iftk6nQ1BQEAoKCuDr6wuLpcImuaSkBAYD24WqIccvMT1+Y1GbRrOWIAhUemC7SGksaP5tEL+VWwdFwybknOaNi0TGWoIgOIHGeXoQeQyiEWoAbppKWEsQhBIClUed1IGsJQhCsoXGd5aK3SsVqFRgJ+ubV8K9o1BIacz59BYjawmCkKrPYy3B4XgrXFlLEIRANQ2XFhNPuqg3oaGhiImJqXXM/fffX+32TZs2AQDGjx9v23bz5k0sW7YMvr6+2L59u60ievLkyZg9ezY+/vhjPPzwwwgJCQFQEUA/dOgQ/P397fY9cOBAzJw5E0uWLMHWrVtt2ydPnozY2Fio1WrbtieeeAIfffQRvvrqK6xatQqvvPJKA/4CgL+/P37++Wdb0P72gPztLF26FPfdd5/dWvLUqVMxZcoUHDlyBL/88gseeOCBOo8bGRmJyMjIKts//vhjAKg2sYDTtPCnCQ6HIxiV9uEZGRkoKChgZhl+Oxe++Z21hEbRLYzG8rSUxmmi1EKj8qgrgQpsKj12qVBG5AFbTiRZqAwW1hIEodBKY9H2bpV/3YNEwDWT+O1ei6005kFuEhoJi7wHNqclYiHyvTUSCeyGqn1ZSxAEtVTBWoLDcSWS7H9Nf5O1BEEohfgTM5sSo9EIvV4PV9f6J3JcuXIFf/31F3r27Il27drZtp88eRIGgwHR0dF2dt4SiQSjR49GQkICdu3ahWeffRYA0KFD9c6f/fr1g4eHB5KSkuy29+jRo9rxw4YNw1dffVVlfH1QKpV2Fed10adPnyrbZDIZHn74Yfz1119ISkqqVwC7OsxmM7Zv3w5nZ+cqduucpocHsDkcjqDExsYCALRaLTw9PZGcnIxu3boBABITE6HX61FcLGyv47umVr2ptSSo9OiiAv88xQON8BhA5Rt71VTAWoIgKIlUmnvJaPRDzDfTsO+VEqkKpFD9SOWzdJGIP9AAAGUQv+09R3yoZTR+n1SstYsJuJcAgL/chbUEh1NEJNm/rYqGk1uuqZS1BEGIjo6u9fX4+Pg697F//37s2rULZrMZbm5uGDhwIF544QVbhXRNVFZF31p9DcDmhOrkVPWZuLJq+syZM3XqKi4uRllZGfz86legkpVV0brC15ddYlGlhoZamN/KL7/8gqysLDz66KMNSijg3Bk0ZiscDocplX2wb6UykD1p0iTExcXZtmu1WqSkpCAsLAwZGRk4d87xvV8O9opw+DEcybDDVa1MxIiMSJiMSvDoglH8FmcdFDT651GhrdyTtQRB0BEJNnhJVKwlCIKnnEalSrKpiLUEQaDQfzbHKGwiKytclDQCZBxxQeEaBADeBAKBAFBEJLBbbKKRzKck0AYoy0hjvqcjkmhLJaG4BI27BkVFReGhhx5CmzZtYDAY8Ndff2HLli1ISEjA+vXr7Sqrb8VgMOCHH36Ah4cHHnnkEbvX2rdvDwA4fvw4rFarnc32H3/8AaCix3NdfP755zAajRg7dmydY00mEz7//HMAwJgxY+oc7wgyMzOxadMmeHh41JlYUBubN28GAEyYMKGppHFqgQewORyOw6nsg63VaqHT/fuQlJCQAKCil8bt3ImdyJ3i9GK2YMdyBBa/jqwlCIJEQmPB5H65+K21AeCoqWX/7urD3wbxnyMAjFSEspYgCJcb+eDZUgiTOLOWIAjnzeK3YgYAZyL9Z8uIWKUHysSf4e+koBHYpZKwaCTiR9PeiUYbg6u6HNYSBIFKSydfufjvKQCdVgaXjeK3nc7V05i/W1U0vrOdFTQqzZfH72nU+7dt22b37xEjRmDgwIF46qmn8O6772LVqlXVvu9///sf8vPzMWXKFKhU9snbHTt2RL9+/XD06FG89tprmD59OpycnHDgwAFb1fat6/fVsWvXLqxZswZdunTB008/Xed5vPXWWzhz5gyefPJJ3HfffXWOb2pKS0vx7LPPoqSkBJ9++ik8PT3vaD/Z2dk4cuQIIiIi0LVr16YVyakWGisaHA6nWXDq1Cl06tQJiYmJyM3NZS3HxqKyKNYSGoWsDY3KZCqWkv8z1J3lKAZyDOLPnvZRurGWIAgpEj1rCYKQYaZhcVYgobFo60KgTyAAFBKprlIQcWm5Ymg+82dH0U9NIykqzVLGWoIgpBlpBBuKqFR4ErGcbiV3r3uQCPhHTyMhwZtIoF4mEf96CZV2ay4yNWsJnGbOAw88gK5du+LYsWPQ6/VVAtRAzfbhlcTFxeGNN97Azp07sWPHDgAV1t7vvPMONBpNrdbY+/fvh1arRUREBL766isolbW7fsXGxmLz5s0YMWIEXnvttXqeZdNRWlqKp556ChcuXMCiRYswZMgQu9cLCgpgNNonRHt7e0Mmq5pwun37dpjNZjz22GMO1cz5FxqzTw6Hwxy1Wo3y8nKo1Wro9Xr4+vrCYrHAaDRCr9fDaDQyy4xdjZZt89veSqOyAUQeVjyI2CgFOIt/ISHVWMBaAqcJCSVQ+QgASiKBwGtmGjbFTkQC9a2lNIINJ8ziD3qmEgnsqojMa92ILMIXmmh8b30VNOZCeWYaCQlUgoG5RFpT+CnEnzztrqBh768m4qDkzcNSjSIkJARnzpxBQUEBAgIC7F5LTU3Fb7/9hm7duqFjx+pdO93d3REXF4dFixbh6tWrUKlUiIyMRHJyMgAgPDy82vf9+OOPePnll9GuXTusXbsW3t7etep8++238d1332HUqFF47733qg0KO5KSkhLMnj0bp06dwptvvomJEydWGTN//nwcP37cblt8fHyVHuNWqxVbt26FWq1GTEyMQ3Vz/oVfKTgcjiDExsZi6NCh0Ol0aN26NYxGI8LCwnDq1CkYjUZIpVKYzWYm2mYgn8lxm4qjktonC2KBSgW2wUqj/+z50lTWEhxOoKplJ8fUlzQilclEUoUQLhP/4hcAqIgsDFHpV0rlOmSwiH+OcMPQsufl9SVI6cFagiB4SmkEsE1KT9YSBCGLgIMSADjJaq8kEws6M432G1QC9RQcEsxEijeCiTyPJVpLWEto0Vy/fh0KhQJeXlXXnbZu3Qqr1Vpj9fWteHt72wWhjxw5AqCiyvt2du/ejVdffRWRkZFYvXp1rTbcVqsVixcvxvr16zF27Fi88847kEqFvR4XFxdj1qxZOHv2LN5++22MGzeu2nGvvvoqiors5zh+flXbO/7+++9ITU1FTEwM3N1pJFA3B8R/d+NwOM2Gyov/2rVrodVqkZKSgn379kGr1eLUqVPNylacw2FFuYXGQsK9rm1ZS3A4aSYai3zBMhqZ8FdMNGxQbxCpfgwgElTJsRCxECeSkNDTSfz22hlmGouZKtDogU2FLAONOQKVQGAHpS9rCYJgUdJIcss00bivUEn4p8CvJVdYSxCECOdWrCU0e/Lz86sNUO/Zswfnz5/HoEGDqth3m81m/PDDD3B1dcWwYcMadLzU1FSsWLEC4eHhePjhh+1e27lzJ1577TVERUVh1apVtQZwrVYr3njjDWzatAkTJkzAW2+9BYnAbQ6Ki4sxY8YMnD9/HrGxsRg9enSNY6Oi6tdadMuWLQDA7cMFhsaTPofDaRb4+/vb/j82NhYajQZarRY6nQ6BgYHo1KkTEhISGCpsmciI2L0KPdlhhZpA5jQA+BMIHt0AjcVMKlBJLikkYptZJnNmLUEQyqw0vrfuBO4pAGAhUFGfT8AmHQDcpVV7FXI4nObBidIU1hIEIVDlyVqCINwkYiGuItA2hoJNOgDcJLL25S6l4XbRGJYvX46TJ0/ivvvuQ1BQEIxGI06ePIkDBw7Az88PCxYsqPKeI0eOICsrCxMnToSzc83PvCtXrsTp06fRrVs3eHh44OrVq9iyZQuUSiWWLVtmFxg/dOgQXnvtNajVaowePRqHDx+usr9bLbXff/99bNq0CW3btsU999yDXbt22Y319fXF/fff3+C/x/fff2+rlC4uLoZUKsUXX3wBoMISffLkybax06ZNw7lz5xAdHQ2JRIKdO3fa7atjx46IjIys97Hz8vJw8OBBhIeHo2fPng3WzrlzaKySczicZolarUZKSgoKCgpgNBpx7tw51pJaJBQWMwFASuM0oSNgDwoAJw1ZrCU4HKuVxpeWinVvmUXPWoIgeMtpVNSnGwpYSxCEMJUPawmC4EykAtuJyHlSwItIAJtKGwMqBChp2GUGyGj0+jYSaZBTbjGwliAIrRTib01xRZfDWoIgUHG7oDJ/bwy9e/fG1atXsXv3buTn58NqtSI4OBjTpk3D7Nmz4eNT9Vlv8+bNAOquEu7YsSMOHz6MFStWoLS0FP7+/oiJicGcOXOq2GefP38eFosFZWVlWLx4cbX7uzWAXbm+f+3aNbz66qtVxvbq1euOAtirV69GWlqa3bZly5YBAIKDg+0C2JUa4uPjER8fX2Vf8+bNa1AAe+fOnTAajbz6mgH8SsHhcASjMmBdSWxsLLRaLUpLSxEREYH8/HxcunQJZrNZ0H7Yh6cfFexYjsBJMoa1BE4TQqXS3AnizxAvB43KRyoW4iVEFr+oJNG0ItKvtIiIhTh4BbZo6EjEutebwDwIAG6Cxr2TChIiFsUFRJIWS4icJxVyTeJPKpYSWSvxIpJQfFqXwVpCsyc6OhrR0dENes+XX35Zr3H9+/dH//796zV2/vz5mD9/fr01fPfdd/Ue2xAOHTpU77FJSUlNeuzp06dj+vTpTbpPTv3gAWwOhyMYlbbht2+rRKvV4tq1a3jggQeQkZEBLy8vnDhxAnK5HMXFjrN9OtgrwmH7FoKRh+9iLUEQqAR2nSU0FjQvl4n/YSVAXbVXEafl4ilzYi1BENyIXIOyiDgHeBIJ7MolNPoJKwmcZx6RgEoeaJynCwFLW0pkEun17SSjYWvrRMS+t8REI5kvwimAtQSHQ2VNqIhISycqzl8cDqdx8AA2h8NpNsTGxmLSpEl2Qe3KnhWOxKp93qH7dzQSr/+xliAIUiIZ/6VE+pUGqr1ZS+BwGkQ5kd8mlWocKvcUnZVGRT2NJXiAgqHkTVMJawmCQCVwxAPYHE7zhYq1NpWq3VRDPmsJDsdspWF7H6Cg0a4hl8icj1MzpaWlKCsrq3Pc7ZbmHFrwADaHw2lWhIWFoWfPnoIeM7Zgg6DHa2rMbWj0t7QSCTZEKGhU7R4tvc5agsPxVPCMYjFBofIRANykNCrNuT2ouHAn0k+YQr9SCjbpAOArc2YtQRCsVhqfJ4fTEglWeLKWIAjJ1pusJQgCheRMA5EAdqaRhttFaxWNtUxOzaxevRqfffZZneOa2g6c07LgAWwOh9Ms0Gq1OHjwIGsZHA5z3In0RPRSuLKW4HAsRB6wqWAi8nmWgUbFLhWoVKqYiQQ9ZSRqsGmQa6672kQMhMjdWEsQBArWvQBwRZfDWoIgUGlLcU2fy1qCILjKaLRToYCzjEbCokJCY76nAo1rLadmRo8ejR49erCWwWnm8AA2h8MRFLVajWnTpiEzMxO5uc3jgen15dmsJTSKkfBlLUEQqPQ7okK+Ufx2UT4KGou2VHAh0htaTWTRtsBqZi1BENRSGo97RiKB+mQCwYbWKhrz2oFSGlVHf6KItQRBuFSexVqCIMiIBFWoEKj0YC1BEMotNNoAUSBMTsNau9BKw96fwwkNDUVoaChrGZxmDo0VDQ6HIziJiYnQaDR22xISEhipqZ13n/FnLaFRWJbQqDqS0jhN6EAjqDLYpR1rCQ7nLwONxUwq+EppVG9QqWTNQTlrCYJApYrMjUif3e5OwawlOBwaqQjAYYv4kxEAIMtII4DNERc+RCz+qVBAJIBdahZ/25gSs461BEEYoW7DWoIgnDCLv287h8NpPDyAzeFwHILFYkFcXFyV7VqtFjqd/aSTdWD78PSjTI/fWNQYzVqCIFCpwFYRsQc9bxL/w0qU0o+1BE4TkmGhYfdKpUolSCb+NgYAkGEWv9sFABRZaFSqtJaJ39njL30GawmC4CuncQ3icFoiacYC1hIEIUzpzVqCIKiIJLmVE5gLFZtoJKDu16eyliAIrkQs4TkcTuPgAWwOh+Nwbg1aZ2dnY926dbZtlcFrb++Kh6e8vDzB9V345nfBj9mUdA2jUasis9II7BYT6T9LpSciRzy4S5SsJQiCj5xGpbkzlZ5rRAL1eiLuJRRmQlQCu6UEAg0AEK6kYZV+vpxG4oWViEsLR1wYrDSer7urxe/SQmW+RyUx86aJRqIth8NpHDyAzeFwHIKf37+VhzqdzlaNPW3aNGg0GuTnV1Rf9u/fH3/88QeKi4uZ6AQAyYE+zI7dFEhAozKZCnISy9PAGUPL7j1fH3gFtrhQEen7WGylUYFNpV1DkUX8dpIAoCOyOH3DKn47Zj0RFwgq9v6pRCpZA4j0Es41sntmF5IQpRdrCYKQahC/IxYAeMicWEsQhL/1mawlOBxvuQtrCYLgQ+Q7600kyY3D4TQOHsDmcDgOwd//377S2dn/BqqCgoJw8OBBFpJq5OYoT9YSGsWD/g+wlsBpQgJAw+IsgEAF9lk9jR7Y3VQBrCUIgt5Kw+2CxlkCnhIaj0EdiPTx/J8hnbUEQfAjUJ2sltMI7CYTCexSIctQyFqCIMiIJPOVEal+lBJJhFdKacz5UotyWEtwOFIXGt9ZLyIB7OsmGvdODofTOGjcxTkcDlNyciom0pW24VFRUfDy8kJ+fj7OnTvHWB2wqCyKtYTG0Ya1AE5ToiNizVdgFn//KimRRb7WVhq9q65JaFSySq00FoaumcRfyQoAqUSqPKkEVZINN1lLcDgyIk40wUpP1hIEIdNI41rLERfJ5eIPBAKASkajPY6CyH0lwk38FuLpOvHPgwAgjIgLBJVAPYfDaRw8gM3hcByCWq2GRqMBABiNRmg0Grv+1xkZGcjMzISbmxsUCgWT3tdiwUykKhBEFqctRALY18rFX53sr/JkLYHThLgS6ZlsInKtbSP3ZS1BEAqIWKUnWmnYoNIw76WBkkhySajCk7UEQThnKmMtQRCo9MCWEvl9ustpuLRc0dFISIhwEr8rVqGcxrWWSgsgXyJOUY2lpKQEK1aswIEDB5CWlga1Wo3WrVtj8uTJiImJsY27ePEivvrqK5w5cwY5OTnw8fFB586dMXPmTNxzzz1V9muxWLBlyxZs27YNly9fBlDhmvrggw/ipZdeqlFPWVkZRowYgbS0NIwbNw7vvPNOlTEHDx7EmjVrkJiYCKvVig4dOmDq1KkYMWJEg89fr9dj165dOHLkCC5evIjs7Gx4eXkhIiICM2fOxH333Vetxi+//BL79u1Deno6XF1dcd999+GFF15AmzZtHHbc23nuueewf/9+hIWFNTs32pYED2BzOByHEBsba/t/jUaDuLg4DB8+HEOHDm12werD04+yltAo1JLRrCUIgkRCoypQRSRDvL1zIGsJDkdnodGT9TdL87qmO4p8Aq4BAKAgsmhLJXhEpTI5x0QjtFtuFr+trZucRjXODSMN20wqPc0lRKyYqZwnlXsnlYQEH6X4W1cBwE2z+IO7HkSSLpykNNrKuUlonGdjyMrKwpNPPon8/HyMGTMG7du3R3l5Oa5fv4709H9bKJ09exaTJk2Cp6cnHnvsMQQGBiI9PR2bN2/GpEmTsGLFCvTr18823mQyYf78+fjll1/wyCOPYMyYMZBIJEhLS0NaWlqtmj766CPk59ecPLxy5Up88MEHCA0NxTPPPAMnJyccOHAAL774IjIzMzFr1qwG/Q1u3LiBhQsXonv37hg9ejQCAwORmZmJjRs3YurUqXjppZcwe/Zs23idTocpU6bg3LlzGDx4MKZOnYr8/HysX78eEyZMwIYNGxAeHt7kx72dgwcP4n//+x/UanWDzpdTFR7A5nA4Dic/Px8ajQZ+fn7w8vJCQkICa0l2RP3YsidNSU40KrAlRGxtnYicp9kq/gUTk5VG5WOqgUblY4Tan7UEQfAgspCQai5hLUEQSon08ZQTSUhwImD32krhwVqCIOisNJLcZESqq66ZaVR4Ugl4KqQ07ilKCY0lYSq9vgPlrqwlOJzfi6+wliAIagLJ/gBQTOS5szG88sorKC0txc6dOxEUFFTjuG+//RYGgwGrVq1CRESEbfvgwYMxduxYbN682S6A/dVXX+Hnn3/G119/jf79+9dbz8mTJ7Fu3Tq89tprePfdd6u8fvPmTSxbtgy+vr7Yvn073N3dAQCTJ0/G7Nmz8fHHH+Phhx9GSEhIvY/p7e2N7du3o3PnznbbH3vsMYwcORLLli3DY489Bg+PimeITZs24dy5c5gwYQIWL15sGx8TE4MRI0bg7bffxurVq5v8uLdSVFSEt956C5MnT8b//ve/ep8rp3pozFY4HI7DuNUqPD8/H5mZmbBYLM2uyro2Nuf8wlpCoxgVTmOh7waR6qqfTOl1DxIBkQpv1hIcjozIYsmx8husJQhCHoGqBgAoJOICESBzYS1BEMxSGsGGfIuOtQRBKCdQzZprKmUtQRCouF24SsWfdEGJPs5hrCUIwkldBmsJgkDlWUVKxMnNRKC1XJBa/GsIAOBH5DlFTuQadKf89ddfOHbsGLRaLYKCgmA2m6HT6eDiUvX7UVJSkZzt72+fdB8QUNFawMnpX4ej8vJyrFmzBoMGDUL//v1htVpRWloKFxeXWp0vDQYDFi5ciMGDByM6OrraAPbJkydhMBgQHR1tC14DFY6ao0ePRkJCAnbt2oVnn3223n8HLy8veHlV7Qvv7++Pe++9FwcPHsS1a9fQrVs3AMCxY8cAAGPHjrUbHxoaip49e+LXX39FRkZGrQkBd3LcW4mNjYVCocALL7zAA9hNAA9gczicRnGrVbhWqwWAKhf4yoprb+9/J5vNKcA91/IyawmNoqu+E2sJgvCljEYA25lIFqqSQJDsL30mawmcJkRF5LdJpbrKCPEv8gFAHhHr+3RDAWsJgkChKpBKNb2FyLW23ETDBYIKx8pSWUsQBCo2xQYqblFlNBwSfFXiL2ygYu+fSqTNSFuFJ2sJghAdHV3r6/Hx8dVuP3LkCAAgLCwM8+fPx+HDh2E0GuHn54cnnngCTz/9NGSyinlzv379cPjwYbz44ot47rnnbBbiy5Ytg4eHB2bMmGHb719//YXi4mJ06dIFS5YswZYtW1BcXAwXFxc89NBDeOWVV6oN3H7++efIzs7GmjVrYDRWn1RrMFTM+24NmFdSaaV95syZWv8eDSErKwsA4OPjU0VDddbdarUaVqsVZ86cqTOA3dDjVvLrr79i+/bt+Oqrr+DsTGM+4Wh4AJvD4TQarVYLna6i8uXcuXM1jmtOQetbeX15NmsJjWK4rOoNU4z4yGj0RPSSqFhLEIQkk/htp6VEHrDvc6q//VNL5oqJxkIClQB2voXGeVJZnPZU0KhU8SVQkZNmLGAtQRDuV975ollLwkzknrLPRMPW9j7nUNYSBCHRcJO1BEEos+hZSxAEH5V73YNEgJlABXYgkTYjLkR6YJuIzBHulCtXKuYWCxYsQEhICN5++20AwIYNG7Bs2TJkZGTg//7v/wAAjz/+OLKysvD999/jscces+0jIiICmzdvRps2bars95tvvoFMJsPzzz8Pf39//O9//8P27dtx7tw5bN26FSrVv2uTFy9exMqVK7Fw4UIEBATgxo3qXfjat28PADh+/DisVqtdRfcff/wBAHa9uxvDoUOHcPbsWfTq1Quhof/OTzp06ICjR4/i2LFjiIyMtG0vLy+3Bc8zMu7caaWm4wJAWVkZFi1ahGHDhmHgwIF3fAyOPTyAzeFwGo1Op0NcXBwAQKPRIC4uDlqtFgcPHgQAKBSKGrOzOI2HSk+nAiIP2GkWGpXmEQQsxJOILH5RgYItHwCUE+mZ7EmkuspEpNLcXVo1w57TMvGWiz9IDwCXicz37pbSCDYEKmmcp4TIc6eBSI96g4XGeVIhRCX+52sqzyk3DM2z+KepUREJ1J+MP3pH7ystrWir4+TkhHXr1kGprGjLMmzYMAwfPhxbtmzB9OnTER4eDqlUioCAAERGRmLw4MFo06YNrl+/jlWrVmHWrFn45ptvEBwcbLffwsJC7Nq1yxZ0fuihhwAAu3btwo4dOzBhwgQAgMlkwuuvv44uXbpg4sSJtWru2LEj+vXrh6NHj+K1117D9OnT4eTkhAMHDmDr1q0AYCuAawz//PMPXn31VXh4eFSxMn/iiSewadMmfPLJJ3B2dkafPn2Qn5+PTz/9FAUFBQAqgtlNfVwA+Oijj1BSUoIFCxbc0f451cMD2BwOxyHodDqcOHEC06ZNs7Meyc+vqLrMzMxEbm4uK3l2vPuMf92DmjGWJTSyFom08USUwpe1BEH4ufQqawkOx0vhyloCpwmRE6moDyZS2aAg8nl6EQnsUkkwSSVQnUzFWrurKoC1BEHIBI0E1EwDDZeWbkSeU4KJ2NpmSWgk0iiItKZwItDuKM0ofhc3ALjfOYy1BEEoJpIsdKdUWmCPHDnSFrwGAKVSiZEjR+Lzzz/HH3/8gfDwcHz44YdYs2YNfvjhB0RERNjG9uvXD2PHjsX777+PZcuW2e23S5cutuB1JY8++ih27dqFY8eO2QLYq1evxqVLl7Bjx45ae2RXEhcXhzfeeAM7d+7Ejh07AAC+vr545513oNFo4OrauHWyq1evYtq0abBYLFi1alWVKuiwsDCsWLECCxYswKJFi2zb77vvPjz11FP4/PPPbRp0Oh2Ki+3vhc7OztX2Ga/ruCdPnsS6deuwePFi+PrSmC8JBQ9gczicRqHVapGdnW2zET99+jQ0Gg2ysytsudeuXWs3/taAdnMJYHM4zYm/DTR6dFGwe7UQCahQoZucRrsGGrVVwCkTDYcEKi4tVPoml5gbX7HQ3GmrorHgk2Wh0Z++vdSNtQRBoFKBXQwawYYyIlWeVAK7ecYS1hIEgUICGJVr7dGyZNYSBKGDmkYy350SGBgIAPDz86vyWuW2wsJCGI1GrF27FuHh4XbBa6CiIjo8PNxm333rfv39qxZz3bpfAMjOzsZnn32GUaNGQaFQIDm54rtZ2QO6pKQEycnJcHd3t631u7u7Iy4uDosWLcLVq1ehUqkQGRlpe294ePgd/kUqKqCnTZsGvV6PNWvWoEuXLtWO69mzJ/bt24erV68iLy8PgYGBCA0Nxfvvvw8AaNeuHQDgxx9/hFartXvvvHnzMH/+/AYf980330T79u1x77332s4VqKhgt1qtSE5Ohkqlsv39OfWHB7A5HE6j0Ol08Pf3t9mIDx06FHFxcdBoNNWODwoKslmLNxdafA9s0AiqUKE+GY1iwEsqfvvePFMpawmCEGal0bd9v+nO+yS1JGREAp5OUmXdg0RACZH2G+XmMtYSBIFCf8vOMk/WEgQhDzTaK1EJeFKpwJYSeU5RSmgsld4op1FQQOHeCQABSvH3+jZYzawlCIKb3Im1BEFoLRV/UUNj6NatGzZs2FBtv+bMzEwAgI+PD/Lz82E0GmE2V//7MJlMdq917doVQPV9oG/dLwDcvHkTer0e27Ztw7Zt26qM37dvH/bt24fZs2fjpZdesnvN29sb3t7/tjY4cuQIAOCBBx6o+aRr4dKlS5g2bRrMZjPWrl2Lzp071zpeIpGgXbt2tmA1ACQkJMDNzQ333HMPgIoK9TVr1ti97/bK6voeNz09HcXFxTYr9tsZOnQounbtis2bN9d5rhx7aMzKOByO4CQmJkKj0SAhIYG1FNHThUhV4HkzDbsoAonTAACdRfwLt1QqAn+30OjRVUAkIaHERKMqMExdNZNdjBiJLPRRsXtVK8U/5zukT2UtQRB6qIJYSxAEX9BIFnrApS1rCYJApSowyonG77OjcyvWEgQh10SjAruIgEuLnsAaAgB4ymkEdn/V3WAtoVkTHR0Nd3d37Ny5E88884zN9rq0tBQ//PADFAoF+vXrB19fX3h5eeHatWs4ffo0unXrZtvHqVOncP36dfTt29e2LTg4GL169cKff/6Js2fP2lUTr1+/HgAwaNAgAEBISIjNevxW8vLy8NZbb6FPnz6YOHFinVXVqampWLFiBcLDw/Hwww83+G9x8eJFTJs2DQDwzTffIDIyssH7+Pbbb3Hp0iXMnz8fTk4VSSL+/v7VVqLfyXGXLFkCo7HqNeqtt96CTCbDwoUL4enp2WDdHB7A5nA4d0ilZXh2djbCwsKQkpIC4F+7ER8fH8TFxdnGARX9rytvqmVlZSgsLIRUKq32As+pP2e5DaqosFqJRLAJfJwmIoGjPlLvugeJgFI5DTtJPwUNu1cZaPTAphLAzjDSqH6kYCHe1SmYtQRBcAONJDcKlrYAkGGh4QJBhRMl11lLEIRWavEnRQFAvoFGr+9QtfhbcJSbaTyPuRBxiioz03CKulPc3NywYMECvPrqqxg3bhzGjRsHiUSCbdu2ISsrCxqNBkFBFQlX8+fPx+LFizF9+nRMnDgRbdq0wfXr17Fx40YoFAo8//zzdvtetGgRnnjiCUyfPh2TJ0+Gv78/Dh06hKNHj6J///62ILObm1u1AecbNyqSD4KDg6u8vnLlSlsg3cPDA1evXsWWLVugVCqxbNkyu37e9SE9PR1Tp05FQUEBnnrqKSQlJSEpKcluzP3332/Xd3rSpEno1KkTwsPDYbVacfToURw6dAjR0dGYM2eOQ44bHR1d7X7ef/99yGSyOwrccyrgAWwOh3NHVFqGazQaxMbG2izDKzOXwsLCbL2w161bZ/feyqB2QkJCjRYnnPpjJbIwRCLiSYiOCvEHPU/pM1lLEIQUCY0HTw8ZDSs3KokX/jLxtzEAADORpKhMCw2HBINV/HbMl/Q5rCUIgpuaRoWnG5Elp0ICySUAnedOZ7matQROE9LaiYbrDgWoJNqm6mk4nIWpaCTRNIbRo0fDy8sLK1aswOeffw6LxYKIiAh89NFHGD58uG3cpEmTEBAQgO+++w5bt25FaWkpPD090b9/fzz77LNVKocjIiKwadMmLFu2DBs3bkRpaSmCg4Px3HPPYfbs2ZBK7zzZu2PHjjh8+DBWrFiB0tJS+Pv7IyYmBnPmzKm2n3ddpKamoqCgAADw9ddfVzvm22+/tQtgd+vWDYcOHcLWrVshkUjQvn17LF68GOPHj6/3ud3JcTmOgcbTBIfDEQy1Wl3FOrxnz54MFYmfEJn4ex0BQCsJjT67PxvSWUsQBB2BIBmVqiMqmEGjf56RyHk6E6l+zAKNoAqVinoKfVmjVSGsJQhCqJnGNchT/NM9AECe0pO1BEGQEemBnW+iUVF/Q0ejB7azjEZCwiDnNqwlOJx8K40K7HIrDZdKNZGWa43lgQceqFff6MGDB2Pw4MH13m+7du3wySef3JGmkJCQKtXIlfTv3x/9+/e/o/1WR+/evWs8Vk28/PLLePnllwU/bnUcOnSo0fugjvifgDkcjsPRarVITExssYHqd5+pud9FSyD5PRq2mWkSGovTVLhpFX9QRUbkO0sj3An0l4jfNQAALkvF/9sEgAIiC2CtJDScA65LaETJIpTiz/B3sdK4d+4AjUpzJ7mCtQRBuFiawVqCIPRzacNagiD4UnFpUdKofiwj4F4CAJkEnq+v6Wm0z+ulptGfnsPhcOoDD2BzOJxGoVarkZGRgU6dOgGo6HOdmZkJvb7CUra4uPn3G1oNL9YSGkU71gIEgoplHZXzLCbQ7yhSIf5AAwC0tdJwR/jJRGNxmkoFdncFDTvJ65YS1hIEwYlAZTIAuBE4zxSIf34AAPfIaCRF3aunkZDwOmjMEfxBoy9rJpGe5q5E+uwqibjuqAi40VBxOCsiUoEdSiTRllM9OTl1J3M6OzvDxcVFADWc5oz4n4A5HI5DiY2Ntfu3VquF0WjEunXroNVqkZFR8TCfmZmJ3NzmaVH1z/LGW4KwZJgksu5BIoCKPai7lIbFWYTck7UEh/OnnsZipkoVwFqCICilNKbNTkSutYmmfNYSOE2ITErD1jaHQHC33EJj0dZb5slagiAcUtH4PIOknqwlCEIeaFSyukhpOAfkmctZSxCEUgsN151MAkmorkTs4IuJBLCLJTSSaDjV069fvzrHzJs3D/PnzxdADac5Q2MljsPhCIJWq4VOp0NSUlKLshMPnvsNawmN4u733mUtQRAkEhrZtlQesF9QN393hsbyuJ7Gd/ZY+Q3WEgTBTU4jQ/ymQfy/TQBo79Sy24fUF5NV/IuZABApdWMtQRD+MInfdtpPRqPKIslC41obKqXxeWYYClhLEIS2Ck/WEgRBT+TeeU0n/nsKAISoaDhe+MjEPxfKNdNwR2gjdWUtQRDyiLR04lTPmjVr6hwTGhoqgBJOc4cHsDkcTp0kJiZCo9HYbcvOzrb7d2W1tZeXF6KiouDl9a8td0JCgiA675S0z6eyltAoRkruYi1BECQSGtVVblIadswf6cT/UCaX0HjANhCpxqFCKJFFvmQiPfQsVhqJNB5ONO6dITJ31hIcjozIfK+cSE/WZEspawmCIAGN762MyHlmmWgkmLRV02inkk8k6KkjcF8xWc2sJQjCeVMeawmC4COjkSDOqZ6+ffuylsBpIfAANofDqROLxYK4uDi7bZUB7cqq6+zsbKxbt85uW35+vi2gfe7cOcF115chxy+xltAo1BjNWgKnCSkjYhdFASr9zKmgIGKtzREXaiI2qH+Xp7OWIAgUWhkEE6nwvEkkoNJDSaPNiNwpiLUEThOiloj/WgsAF0vTWEsQBJmExhy+QC/+hKHhvl1YSxCEYyXXWEsQBIUzv3dyOJy6oTEr43A4DkOn0yEuLg4ajcYWuG7uFde3c23NSNYSGkXr1jQszhRWGg+eciJBsgtG8WcVm4nYD1KBQuAIAFwkNAKePnLxu0AAgIuURm85pUTGWoIgOBMIqhRYxN/nGwD6KWks2t5tFP93FgC2yEpYSxCEJALzdwDwINJnt7d7O9YSBCHHJP7ALgAMcPNgLcHhnChPZS1BEPxUnqwlCEIvGQ3nLw6H0zhoPE1wOByHo1arkZGRYVdprVAoYDJV2BhZm7GFZdvpu1lLaBRqyWjWEgSBioV4uYVGBTaF4O5EZRvWEgThW90/rCUIQomZRlClEOWsJQhCuILGgokR4r/WAsB1A42giiuBNiPdFL6sJQjCYR2NRXipOoy1BEH4pzS77kEiYLxLBGsJgnDImMFaAqcJMVrEb60NAAVW8T+rOMvEPw8CgFKzjrUEQYgncq19m7UADqeFwwPYHA6nSYiNjbX7d0uqxm7pFdjtWrNWIAxUKpONRPo6UbDXPi+hEQikApUKTxmRCux0Iv0t5URsM10IBHYBwF/uwlqCwzlCJLDbWUXDWrsQNAJH7Z38WUsQhEtWGpWsgTIaLi3uRFxakk2FrCUIAoVE+Gx9AWsJghCkppFo203hx1oCh8NpAfAANofDaTIqg9a30r9/f/z++++2SuzmyD/Lk1hLaBSjpJ1ZSxAEKWhUYFPpFfhz2XXWEhyOm5LGNEtKxR2BSH/6cpOBtQRBoJBEAwCBCvHbSQJAKRHb6bNl4l+Ed5c7sZYgCH4SGkkXVy00rLX/KadRgU2ll3AZkepHKvgpacyFLhens5bgcHp7dWAtQRAyjeKf7wHAgRIaTm4cDqdx0FhZ5XA4TY5arYZGo0F2drYtcJ2dnY2wsDCcOnUKFosFeXk07Bw5wmAhEmw4a8xlLUEQAgksJNBY4qODyULDHcGNSPBITaCXMAC4EqmuKjTTcLygkjBEgTYWGtegIiLuCB7ONKzSfSQ07iknjDQSEgqI9Iam0oqsi0cb1hIcDpV5bbGxjLUEQQgkUmneWDp27Fjja7t370ZEREV7j+PHj2P//v34888/kZ5ekdASFhaGkSNH4vHHH4dara7y/hMnTmDlypW4cOECCgoK4Ovrix49emD27Nm2/QJAVlYWdu7ciaNHj+LatWsoLCxEUFAQ7rnnHsyZMwetW1dvDZqTk4OvvvoKhw8fRlZWFlxcXNChQwc8/fTT6N+/f4P+DndyfgDw+++/Y82aNThz5gzKysrg6+uLLl264J133oGra92OKw097tmzZ7Fr1y4kJiYiMTERpaWleP755/Hss8826Hw5/0LjqYnD4TQ5lZbhGo0GOp0OcXFx0Gq1yMjIgI+PD9atW1fFRlwikTTrXtic5g2VCmwq50nB4uyYIZO1BE4TQsXev9RAw1pbIaVhCV8opWEJTwULn0eLhmtS8c+DAOAeM42kqP2SfNYSBEFJpAI720Cj+rHMRKPSvFBCI1BvtlhYS3A4OUrxt1KhRLaexrW2KejZsycee+yxKtuDgoJs/7906VKkp6djyJAheOKJJ2A0GhEfH4/33nsPu3fvxoYNG6BS/ZtYePDgQcyfPx+tW7fGpEmT4O3tjatXr2Lz5s04cOAANm/ebAueHzp0CJ988gn69++PadOmwd3dHUlJSdi8eTP27NmD1atX495777XTdunSJUybNg0ymQxjx45FaGgoSkpKcPnyZWRmNnytrKHnBwArVqzA0qVL0bt3b8yZMweurq7IycnBqVOnUF5eXq8AdkOPe+TIEaxbtw5t2rRB586dcfz48QafK8ceHsDmcDhNRmVQW6vV2qqzw8LC0L9/fyQkJDTb4LVV+zxrCY3C6nmQtQRBsNCI6yJSQSML9ZRe/MFdKtn+wQpP1hIEIZ2IlRuv8BQXzXXu1dRQsbWl8PsMVLizliAIMiIJi+ky8QdUAABETvP3shTWEgTBQCDRFgBciLjumIgkofqrxe9w5iGj8Z0ts9Bo6cSpP6GhoYiJial1zIsvvogePXpALv833DdlyhS8+OKL2LNnD7Zu3YpJkybZXlu9ejUUCgU2btwILy8v2/bu3btj/vz52LFjB1599VUAFQH0Q4cOwd/f3+6YAwcOxMyZM7FkyRJs3brVtt1gMOD555+Hj48Pvv/+e3h4NP761NDzO378OD788EPMmTMHGo1GsOM+/vjjmDFjBlxcXPDHH3/gySefvONjcyrgAWwOh1Mnfn5+DRp/ayA7JSXFrho7MTGx2dmLS2KXsZbQKEI+7M1agiDcMNGoCvzbkMNagiA4E7D/0llNrCUIQqqBRtVRK6UnawmCICcSCEzW32QtQRB0RBbhqVjfK6Xif3yn0jImyCr+zxIAEiU07P0LifRM7uLUirUEQTheco21BEHQEwmSOcuqt5UVG0qJ+N2FUojM311kNNpvtFXSKN5oKoxGI/R6fY1Vw717V782PGzYMOzZswdJSUl220tKSqBWq6sElwMCAgAATk7/Pl916FB9//l+/frBw8Ojyr737duHq1ev4vPPP4eHhwcMBgPMZrPdPhtKQ89v+fLl8PLywrx58wAApaWlUKlUdoFoRxzX19e3Qfvn1A2NpyYOh9Mobs+wuhW1Wo2UlOozsWNjY23V2Pn5+fDy8oJer0e3bt2QmJiI3Nzm0eu3pVdgZ3jFs5YgCFSqqxQEHjwBoB2Bql29lUY5zjmL+KvpASDLWMRagiBYiQSP3IhUcFBxgvCRObOWIAhqAnOE60SSon5V0JjXdpC4sZYgCLlE7ilny9NZSxAENZHgUaiKRvAo11TCWoIg3NA3nyIRRxFM5Dt7Q9c81kodTalZz1qCIERHR9f6enx83Wu6+/fvx65du2A2m+Hm5oaBAwfihRdeQEhISJ3vzcrKAlA1sNqvXz+sXr0ar776KmbMmGGzEH///fcRFBSEiRMn1rnv4uJilJWVVSl8O3LkCADAy8sL06ZNwx9//AGLxYLQ0FDMnDkTjz/+eJ37ri/VnV95eTmOHz+O/v37Y+fOnfjiiy+QlpYGuVyOXr164dVXX0VkZGSTH5fjGHgAm8PhNIrY2NharTgqq7ErmTRpkq1fdkpKCsLCwnDq1Cno9XoUF7OpsB06Zi6T4zYVLj/TCGBT4R5FwxwPWionjNmsJTgcKj2TqUDFsu4mkUW+YjONqkBPOY1egbkmGv0tSwhUeaqJ9G3vIKUR2KUCleQvKlCxnE4lEPAEgGJTGWsJguChEP+cL4dIQjEVPOQ0ElAbS1RUFB566CG0adMGBoMBf/31F7Zs2YKEhASsX78e7dq1q/G9JSUlWLlyJRQKBUaOHGn32vPPP4/i4mLs2LEDu3btsm3v2bMnVqxYUa/A7Oeffw6j0YixY8fabb9y5QoAYN68eejcuTOWLl2KsrIyrFq1Cm+++SYKCwsxZ86chvwZGnR+ycnJMJlMOHPmDI4ePYqZM2ciKioKFy5cwIoVK/D4449j27ZtCA8Pb9LjchwDD2BzOBxBCQsLs+uPnZGRgU6dOgEA8vPzce7cOcE1HewVIfgxm5JRP3dmLUEQpER6BVII7AKAE4EFaqOZxuIXFagEdnVmGpbTapn4r0EAUEAksOtOZAGMihsNBS5baLTGuUtKo6c5h9MSoRKop0IIATtmvZXGc4qRiJObC4G2cgBwIH5fo96/bds2u3+PGDECAwcOxFNPPYV3330Xq1atqvZ9JpMJGo0GaWlp0Gq1aNu2rd3rcrkcQUFB6Nq1K4YNG4aAgABcvHgRq1evxtNPP43Vq1fX2rt6165dWLNmDbp06YKnn37a7rXS0opn0NatW2PFihU2V7DBgwdjyJAhWL58OZ544gm4u9/5PLG28yspqVi7ycvLw+LFizFhwgQAwJAhQ9CqVSssXLgQn3/+OT788MMmPS7HMfAANofDEZTKimyNRlOlOlur1TIJYLd0qAR2OeLiUqn4LQhbqX1YS+A0IUoJjWmzUUJjMZNKZbKeSA9sXxmNz1MtF38w8JqBRkVgaymN7ywVJPx5TFS4yWm47piJBMmoJH/lmMSfGEVlXutMpI1BoYGGO4IjeOCBB9C1a1ccO3YMer0eKpX9d8ZkMuHFF1/EL7/8glmzZmHatGlV9vHyyy8jISEBP/30k80CfPDgwejSpQtmz56Nr776Cq+88kq1x9+/fz+0Wi0iIiLw1VdfQam0T0ZQq9UAgLFjx9q1tPLy8kJ0dDR27NiB06dPY8CAAXd0/nWdX+XxpVIpxowZY/fa6NGj8cYbb+DYsWO2bTk5OXZjZDIZvL2rJgXV5+/KaXporMRxOBxB0Wq10OnsLQ7z8/ORmZkJi6XiISkvLw89e/ZkIU90tJeJfzETABJNNHoiqokEyYKdxN8nxmgxsZYgCBYrDdtMlUz8vWcBwFvqylqCIOQZaVTUK6U07ilZBBZtAaCUgIX4AKfWrCUIQjFozBHuMtNwu9imy2QtQRCCVV6sJQiCgUhlsruURpBMZ6VxvaXQyiDdJP55EAD0d2rFWoIgFBGZCzmKkJAQnDlzBgUFBQgICLBtNxqNePHFF7F//348/fTT+M9//lPlvenp6fjxxx8xaNCgKv2rBwwYABcXF/zxxx/VHvfHH3/Eyy+/jHbt2mHt2rXVBnoDAwNx6dKlKvsGYNtWWFjYoPOtpD7nFxQUBABwd3evElxXKBTw8vKyO36/fv3sxgQHB+PQoUMNPi7HMdBY0eBwOA5FrVZDo9EgISEBQEWmkrkFWee++4w/awmNImlJAWsJgkAlc9pKJBg4RCH+h7LDRhqLmToimfBUMv6pJCT4KWj0n6USwH5AKv6kKAA4Lr+zhZ6WRJ7VwFqCIIRLaNje63lhMqcF4i2j8ft0k9BIMCknEsC+arjJWoLDobIm9Kcxp+5BIsCViIW4o7h+/botGFuJwWDACy+8gPj4eMybNw/z58+v9r1ZWVkAUO3avdVqhcViqfa13bt349VXX0VkZCRWr14NT0/PavfftWtX/PLLL8jIyKjyWuW2+vTYvp36np+Pjw9CQkKQlpaG8vJyODn966yi1+uRl5cHf/9/YwFr1qyxe//tFe31PS7HMdBY0eBwOA7lVivwadOm2dmAKxQVD0Umk6nZBua0no+zltAoRnkeZC2B04SUEenrlAXxL1BHKsTfhwwAfifSY9dNRsNOUkbEBlUqoXGeN4lUmp9T0fh9FlvEX3mURqDKHADcVUGsJQiDlEaALMIpoO5BIuCKjkZQhUryF5VgoIrIdaibWvz3lQwzjefOXBON+XupRc9aQrMnPz/fLkBdyZ49e3D+/HkMGjTIVmFsMBjw3HPP4fDhw9BoNJgzZ06N+23bti3kcjlOnDiB1NRUhIaG2l776aefUF5eji5duti9Z+fOnXjttdcQFRWFVatW1dq/etSoUVi+fDm2bNmC8ePH22IDWVlZiI+Ph6enJ7p169aQP0WDzg8AxowZg08//RTr16/HzJkzbds3bNgAi8WCgQMH2rb17du3yY7LaXpozMo4HE6TUJ01eCWV1de3YzQ2/2CcJHYZawmNY8ldrBVwOA1GB/H3XEsikAUPAPc5hbCWIAj/mApYSxAEN6matQRBKCeSLOQpp1FFlmwsYC1BEMoILPTFWtuwliAImwkk8gFAjIFGQkKmksa90985jLUEQbhgyGUtQRCKzeWsJQiCgUhbp+PGVNYSHE47dVU7YjHiJ6fhFMWpm+XLl+PkyZO47777EBQUBKPRiJMnT+LAgQPw8/PDggULbGNfeuklHD58GPfccw+CgoKwc+dOu32FhYWhe/fuAABPT09MnToVq1atwmOPPYaJEyciMDAQiYmJ2Lp1Kzw9PTF79mzbew8dOoTXXnsNarUao0ePxuHDh6tojYmJsTvW3LlzsWzZMjzxxBMYMWIEysvLsX79euh0Orz11lt2VdH1oSHnBwAzZszAgQMH8MEHH+DatWvo3LkzEhMTsWXLFgQFBdW7irqhx01LS7ONuXHjBgDgzz//xBdffAEAuPfee3Hvvfc26NypwwPYHA6nVrRaLRITEzF06FAYjUYUF9PoMdiSMBLp0SUDjQzxCCJVu0oCn6eBiF3dsfIbrCUIgrOMRp/AUguNoAoVS3gfOY2e5n5EztNkFX+l+U2LjLUEQRD/LKiCb5U0lpz+MdJIWpQRcS+REDlPT7kLawmCcNNIYw0rSOnJWoLDCZbSSMykQpqljLWEZk/v3r1x9epV7N69G/n5+bBarQgODsa0adMwe/Zs+Pj42MZWuqGePHkSJ0+erLKvMWPG2AVaX375ZYSHh2Pr1q1Yu3YtDAYDfHx8MGLECMydO9euKvv8+fOwWCwoKyvD4sWLq9V6awAbAJ599lkEBwfj22+/xUcffQSpVIqoqCjExsbi/vvvb/DfoqHn5+zsjO+//x6fffYZDhw4gB07dsDT0xOPPvoonnvuuXpbmDf0uDdu3MCyZfaFcr/99ht+++03AMC8efN4ALuB0Hia4HA4d4RWq0VGRgY6depkZ1uSmJiI3FzxZCW39B7Y0iU0HrClRGxtU0xFrCUIQju5B2sJDofKd5YKXkT6IZqIJEWlm2hUBRaYaCwMTZXRsO/dIxf/HCGNSGQ3y0Kj8rG71JO1BEGgklDcXUHjWpthpTFHyCfQlgIAujoFs5YgCLlm8c/5ThmyWUsQhGglje9sgYSGvX9jiI6ORnR0dL3GHjp0qEH7lkgkGDduHMaNG1fn2Pnz599R3+eYmJgqge07paHnBwDu7u54/fXX8frrrwt23N69eyMpKemOj8epCg9gczjEUavV0Gg01fbVqMkWXGy8vrxlT4KflrVhLUEQSojYveYTWdCkUIFtgZW1BEEIVVbtySRGqFhOexCxEHchUlFPpe9jooJG8Oi6Pp+1BIcjUdJI/uoorblvoJi4T0djLrTZTKPC84CJRv9Zi5XG9zZAKf6EYgAoltBwF/KWid+lpYzI89hps/jnewCQQ6TXN4fDaRw8gM3hECc2NhbAv9XWtwax+/fvb/t/MQezW3oFduoS8VfjAHQsxFsTqEwGgHMErBZdpDQCZKkGGg/YbVX1s5hq6cgkNK61OiIW4lRaGdxU0Pg8p8lbs5bgcFbpr7GWIAi9lW1ZSxCEZBo5NOioDGQtQRD8iCS5/WMsYC1BEHyJuAudL89gLUEQKCRnUpm/62U0zjNSSaOnOadmiouLodPV7gYik8ng7U2j1SKnengAm8Nppmi12jov4omJibBYLHe0/7y8PNv/V/Z4shLJNBYbEiI2xZs661lLEISR52g8rFCwKaby26TCP7qW7dZRXxRSGv1nqTgHFFlo3DuP69JYSxCEMwQq6qn0nv2i7DxrCYLgraDRn77IRMNB6QqRJDcnmZK1BEEoMdOwEKfyeUaoxB8MPFuezlqCIBgsNBJQecs1zjvvvIMffvih1jHBwcF3ZB/OEQ88gM3hNFN0Oh3i4uJqDWT7+Phg3bp1AGoOeFdnDX4rtwbBbw1qU6KlW4jPlIWxliAIZj2NwG6UgkaVp5zAwwoVC/EQK41FoVOgYQ8aLnFhLUEQrlpp2KD2ldLIVpcSear9i8B16B99DmsJgvCqujNrCYLgaaYxF/qHRiErYmSFrCUIwmsmGt/b3hJP1hIEIYWIhbgrxJ+E6udMw73kspmGy6KbhMgEnlMjs2bNwqhRo2odo1KJ312CUzv8SsHhNAMq+1DfSnZ2RVC1MpBdHVqt1va+06dPo1u3blXGZGZmIj3dPkuxpKQEBgONSXx9aP9MR9YSGsV9S++sCr+lIXehsZDgC/FXVwHAQX0qawkOp4PSh7UEQfjNQqN3lVIi/kUhAEgFjSqydCONhaEsCY3fZ5icRj/hVhLx97e8S01jcfpnK43fpp+cLzqKibfMNOZCD1vdWEsQhBLx5xMDABQEEqcBwEwgebqjmcZaSQcJjXUEDxo1KpxaaN++Pdq3b89aBqeZwwPYHE4zoLIP9a3cHtCu632TJk2qMdBdSWWVdnZ2tq1y+9bXDh48WE/F4uIPQxZrCY1CiwjWEgTBVErjwbOTkYY1X6EqiLUEh3NcT6Pfmp+chj2om4RGpXmplcZKgppIya6rlEbwyEdC4zxPtPA5a30YLw9hLUEQZESsmI/qadj736X0Zy1BEKwEAmQA8JuUhkuLETQS4duChkXCDav4LeFdZDSSaHJAo+CoVELDKn0aawEcTguHxsoNh9MCqazKrqzErouwsLA6g96VgWutVouePXvatnt7e9v9F6BlJ+6zqoC1hEbhTsR2xzmKxoPnies0gkd/G2+yluBwqFiIpxryWUsQhBTQuC+qCPTYBYByM42FoRwi/YQVKhrBwBCF+CvNjxGwSQcAg9XMWoIg8P6WnJaIp4TGXCjfSmMulGyl4S7kTMAtKhN61hIEQUdkjsDhcDj1gUbUg8NpgVRWV9enEvvW8bWh0WhsVdj9+/cHYN8D+1bc3NxQXExjAaml40HkUi71r7mXu5g4bcxkLUEQHpeKvwJ7hfkaawmcJkRJJFnISUqj0rzMTGMBzEUmfstpAOgHD9YSBGGDIZm1BIez0YtGwuK+Yj/WEgThioqGS0uWlcY9xV+iZi1BEJwJ9BIGgE4WGr/PTBmNSnNvi/iT+bKkNAK7WUT6tnsTaZ/H4XAaB42VOA6HA6CiqjsjIwNeXhWBwISEBMaKmgctvQf2N2/TmMSbLueyliAI7jIaC0MbzOK31+6komEnqSaQ7Q8ABUSqVFQQ/+IXAPjLXFhLEAQTESeI3yU0epp3UwWwluBwdpbQmAfRSC0BuhppLDnpiLSlOCujMRei0jOZxgweyAMNm2IFAeeAAAuNb22hlMbzWBcicwQOh9M4+JWCw2nmVFqJ3w4PPjcdLb0HtqIjjQD26MPifyADgFVeNCzEVxWLfxE+g0jvKhqP10CJhcbnmU/Esq6z3LvuQSIg2UKjj+dgi/ittQHgqLSMtQSHkyKlEWi4z0BjET7MQqMy+We5irUEQaBiCZ9KoJcwALhKaaTShFlpuAsVScRfae5hpXEN+qVM/I47AHBJScNBaTprARxOC4cHsDmcZkyl3Xd1VFqAA0B+fr6tqrqSygC3t7c3SkpKYDRWDYpZrTSqcuqit7JlB9JOEbFRegIt+3OqL08V5LCWIAhOBKrlWhFZFPq1PJW1BEEIJPKATaUvK5XArqeExqLtdisNl5bWEjfWEhxOmlX8QXoAWC8Xf6ABANKMBawlCMKDklDWEgQhi0hgt5OEhrV2ORGXliwiScUdLeJPpDkrpdHP/BVFBGsJgnCFyFyIw+E0Dh7A5nAYUluAGgCys7Oxbt26Ru//9gA3r962p1z6OmsJjaIs/z3WEgThspxGUOUueLKWIAh6iP9hxUxkUYgKQVIaltNyGY3KhgIiFfVUcCXSu/2yKZ+1BIfzmZKGhfg8A41A4Bhla9YSBCEXNJ5T+lnFn0QDAHstNJKi3IncOwMlNJKKL0vF73gxtZyG99d2JxqufDesNBISGsP169exe/du/Prrr0hNTUVpaSlatWqFvn374qmnnoK//79t686ePYuVK1fi4sWLyM3NhcViQVBQEAYMGIAZM2YgIMC+KOjTTz/FZ599Vu1xH3roIXzyySe1aluyZAlWr14NmUyGCxcuVHn95s2bWLlyJQ4fPoyMjAy4uLigTZs2mDhxIkaNGnUHf40KkpOT8eWXX+LXX39FXl4e3N3dERkZif/85z+Iioqq8X3r1q3D4sWLAQBHjhxBYGBgvY63fft2aLXaal/r3Lkztm/fbvv3jRs3EB0dXev+XnjhBTzzzDP1OjanAh7A5nAYotPpEBcXV+PrWq3Wzj6cB54dw1zLy6wlNIoDN+9iLUEYiASwz5puspYgCH3k4u8PfVBPozL5PqcQ1hIE4YqpkLUEQXCVir96A6BTaV5ExL43TE4jqCKVObOW4HAMRhpJNCOl9Vs0a+m4iD9fEQCQS8MRHlekNIIq3eBV9yARkAsan2cxkR7YKSbxO5yda+HuifXlspnGmpBawsNSdbF161asW7cOgwYNwiOPPAK1Wo3Tp09j/fr12LVrFzZs2IB27doBqAh2l5aWYvjw4fDz84NUKkVSUhI2bdqEPXv2YPv27VWC2EBF7OF2V9fg4OBadZ09exbffPMNnJ2doddXfd4sLi7G+PHjkZubi/Hjx6Njx44oKSnBzp078fLLL+PKlSvVtkuti2PHjuGZZ56Bv78/JkyYgMDAQBQWFuL8+fPIyanZzTI9PR1Lly6Fs7MzysruzO1pzpw5CA8Pt9vm6elp929vb2+8//771b7/448/Rnp6Oh588ME7Oj5l+JWCw2nGxMbGVrtdo9HYBb4rK63rqtjWarU4deoULBYL8vLymlxvS+X15dmsJTSKzVYaAezjJhrW2qVEqgIzIf6gShcVjQfsNDMNK+Y2cho9dnMsNKoCO8hofJ5GAm4XAHC/kUbixXGF+B/fFXIaFuLniVgxL3AtZi1BECQFfqwlCEIZjeJHFEpouCj1tNBwvFDQ+DiRIRP/53lSQuPeOcjqw1qCIGRKaCSXNIaHHnoITz31FNzd/312nTBhArp164b//ve/+OSTT7Bs2TIAwKhRo6qtbL733nuh0WiwZcsWzJs3r8rrgwcPRkhI/YsSjEYjFixYgEGDBqGoqAh//fVXlTH79u1DWloaFi1ahMmTJ9u2P/744xgyZAg2bdrU4AB2fn4+NBoNunTpgq+//hoqVf2f//773/8iPDwc4eHh2LVrV4OOW0nfvn3Ru3fvWsc4OzsjJiamyvbk5GRkZGSgW7du6Nix4x0dnzLifwLmcAhQWcl9+8X/dovy/Px8dOrUCfn5+ejcubPd9spsK17l3fIw0yhUgZlIz3azlUawQQ7xr4CFWWnY8kmJVB15QsFagiDIpeL/bQKAG2h8cXOI2Np+L6Vh92oxi38udM7sy1qCIPSX0JjAFxfTSMxsZaJxrfUgUsm6S01jqbRIJv57CgBct9JIjAqXiL/dUQBoPF8fsNAo3hggpTHnawx33313tduHDx+O//73v0hKSqpzH5XB6eLimpMKS0pKoFKpoFDUvebx1VdfIT09HStXrsRLL71U7ZjKY91qcQ4ATk5OcHNzq7Wdak1s3LgReXl5eO2116BSqaDX6yGRSKBU1n5d2LFjB3777Tds3boV3377bYOPeyulpaVQKBR1HvN2tmzZAqvVivHjxzfq+FShMSvjcIigVqvtgtjZ2dkICwuz3RjOnTvHShrHgUhpPHdigjSItQRBWGW+xlqCIFwwit8Wq4u0FWsJgrDJcIO1BEGIVIvf9h4APCU0FoZ+NmawliAInlLxV+MAgA+R8/Qi8PtMopFDg3GyAtYSBCGjVPwBFQA4rabxxe2sp5HMJwWNB+xiIklubSTib78BAHkELOFpXGmBYJkrawmC4E+kGqeunsjx8fEN3mdWVhYAwNe3ahJAeXk5ysvLodfr8c8//+DDDz8EAAwcOLDafcXExKCkpAQSiQQRERGYMmVKjYHWy5cv48svv4RWq63WjrySvn37QiqVYunSpVAqlYiMjERxcTE2bdqE5ORkvPvuuw0844q+1S4uLtDpdBg3bhz+/vtvAEBERATmzZuHhx56qMp7cnNzERsbi6lTp+KuuxrnXvrss8+ipKQEANC6dWuMHz8e06dPh1xee3jVZDJhx44dcHV1xbBhwxqlgSo8gM3hiIjbLce1Wi0yMjLg5eVlq6z29va2G8OtxIH2z7Rs+w6P/7vEWoIgLJW0Yy1BEDqradhOB0vEb/f6i5WGbeaT6vasJQhCtoTGIl8ZkcXMCIV33YNEgAeRxz0ZaCyAhVnE/3kSaYGNXw2erCUIQieJ+FvGAEAPHY17Z75M/NcgAIgSfxwQACCz0nCjKaZxmjARmPNlyGi41flaaITq1TQ+TodQaRs+duzYKq+tXLkSn332me3fISEhWLJkCfr06WM3zs3NDY8++ih69OgBLy8vpKWlYdOmTVi4cCEuXLiAN954w268xWLBggULEBUVhccff7xWfZGRkfjggw+wZMkSPP3007btHh4eWL58OR544IEGn/OVK1dgsVgwY8YMPPjgg5g1axZu3ryJ5cuX47nnnsMHH3xQxUJ98eLFcHV1xXPPPdfg41WiVqvxyCOPoG/fvvDz80NWVhZ27tyJpUuX4q+//sIXX3wBaS0udocPH0ZOTg4mTpwIZ2caCVVNjfjvbhwOYaoLaN9q03HmzBm4ubnZLEJ4MLtl8omkLWsJgnBBRePJ01tCo7Ih3Sr+BU01EYviS0R6kVF5vjYTqTqiYglP4yoE6Ij8Qs9LxX+9dSOyRNHeRGNx+rJc/AmLAJ3EiwPSItYSBKE9AStmAOhoojFLuCCjkZHgQmDW16+cxnNKORGbxUIZjZvnnVRY18aXX36J/fv3Y/DgwRgzZkyV10ePHo0ePXqgpKQE58+fx6FDh1BQUFBl3LRp06pse/zxxzFlyhSsX78eMTEx6Natm+21b7/9FhcuXMAPP/xQa8C2Ei8vL7Rr1w4jRozAPffcg4KCAqxfvx7PP/88PvvsM/Tr168hp43S0lKYzWaMGDHCVlUOAH369MHIkSOxdOlSjBw5EpL/36bn4MGD2L9/P1atWgUnJ6cGHetWhg0bVqVyesKECXjxxRexd+9e/PTTTxg+fHiN79+8eTMA4LHHHrtjDdSh8XTI4XAAVA1oT5s2zdb7GqjohQ3Ati0xMRG5ueLvKfjP8rp7hjRnpqvdWEsQhH4WGsGGBB0NO+aeavHbax/XpbGWIAg9CHyWAJBpodE/T2+h0d8yQ0IjeCQncp6tpDSy2Uut4v993mumYQcf5SX+ZywA2FZGo7/l3yhlLUEQJutp2NoWymjcO9uaxJ9QDAAlUhqJNKlS8TtBXCRS1OBCI36NdBmRE21CvvnmG8TFxaFXr15YunSpLVh7K6GhoQgNDQUADB06FNHR0Zg4cSIMBgOeeuqpWvcvl8vxzDPPYPbs2Th8+LAtgJ2amoqPP/4YM2fORIcOHerUeeTIEcyZMwf//e9/7aq1R4wYgREjRuD1119HfHx8vXpuV6JSqVBWVlal6jw8PBzdu3fHn3/+iatXr6Jdu3YoKirCW2+9hZEjR9YZKDebzVUK+hQKBTw9PWt8j0Qiwdy5c7F3714cPny4xgB2RkYGjh49is6dO6Nz5871O1FOFXgAm8MhzNq1awH8W5nt5eWFxMREpKenA6BTkd3SLcQD3slhLUEQAtQ0Hjx7yWgEA+82i//z7KoIZy1BEPaaxd/PHAD8ZTQCZFSayymIWE4biVTUjy2n8Vh70En855lHY20au0ppBHZppCMAA6w0Kna/UxayliAI0VYP1hIE4We1krUEQQikYdKCNmbx30AjDOJP5KNEKJHnsaZizZo1eO+999CnTx8sX7683lXFXbp0QXh4ODZu3FhnABuosBwH7GMC7777LlxcXDB8+HAkJyfbtle6vCYnJ0Mmk9neu2rVKlgsFjz88MN2+3ZycsLAgQPx/fff4/r16/UKhlcSFBSEK1euwM/Pr8prldsKCyvmKZ988gmKi4sxadIkO72lpRUJhzdu3IBer0dYWBgyMjKq9Cnv1asXvvvuu1r1VCYJ1BY72bZtGywWC6++biTifwLmcDi1otVqkZKSgnXr1lXZrtPpkJ+fDy8vL9t/K3tpc5oPA9WhrCUIwgkjjUB9VwWNBU0KMbIVxmusJQhCD3UQawmCEAAai3z5oLEwJCWyYCIjYq19RUnjsfa6RfzBozDQCBydlZazliAIVNqpFFppWBRLiNw7M6Q07p29xN+VAgCQLafxvf1LLv6KerlS/EnwAB3b+0gzjfl7U/D111/jww8/RP/+/fH5559DpWrYb0Gn09mCu3Vx/fp1AICv779rk+np6cjNzcXIkSOrfc/QoUPh6+uLX3/9FQCQlZUFoKJv9u2YTBXrDWZzw1wjunbtiitXriAjIwMRERF2r2VkZNhpTk9Ph06nw8SJE6vd16RJkwAAZ8+ehZ+fH9asWWP3uru7e516rl27ZnfM27FYLNi2bRucnZ0xYsSIOvfHqRl+peBwiKPT6eDv7w/Avkd2dnY2wsLCkJmZiXPnzrGUyKmDg+XXWUsQhJfk7VlLEIQvDKmsJQhCf2sIawkOx0DA6pUSQWYKaRfAXWYagfpcIk9BgUYaFdgyIpXmFoX4zzOTgAUqAPgTSYoKIVARCACXifTxpOLq4WqlMec7o6LxeXrQOE0EW8V/X9HTuNQiwErjQcWJRq5Qo/nyyy8RFxeHQYMG4ZNPPoFSWf1vPScnp9rq5Pj4eKSmptpZaZtMJpSXl8PNzb4lZXl5OT799FMAsKtKfvXVV1FUVFRl359++imuXr2KuLg4u6B6hw4dcP36dWzfvh2zZ8+2bS8qKkJ8fDxcXV0RHt4wx8IxY8Zg+/bt2LBhAwYMGGCzTz9//jxOnz6N8PBwhIWFAQBmz56NUaNGVdnHunXrcPz4cSxevBgeHh5QKBSQSqXo27dvjcetLOi7FZPJhI8++ggAMHjw4Grfd/ToUaSnp+PRRx+FqyuNFiyOgsYVkcPh1IparYZGo7EFrU+dOoWioiL8888/kEqlkMlkkEorHuKMRhqZgC0JpZTGpfwr0OgnPFIh/sAuAHxiymAtweHMldffDqkls5OIhbiSSD/EjhLxL34BwM8QfyUrAISqaFjft7XUv39aS6aHRPzVySkQfwUZALS10qgiS5XRSEjItRpYSxCEHkSs0mk8XQOuFhrRQCmRAHaqQvzRwBsSGuuR/Yw0GnAU0shxaxTr1q1DXFwcfH19MWTIEPz00092r7u4uNgCqE899RTc3d3RvXt3tGrVCmVlZThz5gz2798PT09PvPrqq7b3lZWV4cEHH8SDDz6Idu3awdvbG2lpafjhhx+QmZmJ2bNnIyoqyja+pgDvunXrcO3atSpW4U8//TQSEhLw4Ycf4tKlS7jnnntQWFiIzZs3IycnBwsXLqwxEF8TvXr1wrhx47B161bMnDkT0dHRyM3Nxffffw+5XI433njDNrZ79+7V7uPnn38GADzwwAMIDAys13FHjhyJHj16ICIiAv7+/sjKysKPP/6IK1euYPjw4RgyZEi179uyZQsAYMKECQ04S051UJmXcTicWoiNjQVQUYGdkZEBHx8fdO/eHQcPHrRZejTU2oMjHFRsUKmc514jjUB9d6U/awkO5zdrGWsJgpCmy2ctQRDaObnVPUgEpBOpfjRWY2cmRpItpawlCEJvkydrCYJwWSn+hVs/IpXJv1sLWEsQBDORa20HWd1Wk2KgUEIjEhhhoPHcmUlkRTiQm2KJhgIiyUJhJhqJ00XcQrxO/v77bwBAbm4uXn/99SqvBwcH2wLY48ePx8GDB7F161YUFBRAJpMhODgYkydPxsyZMxEQEGB7n1qtxsMPP4yzZ8/i559/RklJCdzc3BAVFYVFixbVWFVcX+6++25s2rQJX375JX7//Xfs3bsXarUanTt3hlarrTHoWxeLFy9GREQEtm7divfeew8qlQo9evTA3Llz0aVLl0ZpromRI0fi+PHjOHbsGEpKSuDk5ISOHTsiNjYWY8aMsVWC30pubi4OHz6MiIgIdO3a1SG6KCGxWq00ZqCcFotGo0FcXBxrGTaaQk/lPhq6r0qL7+zsbLue1Y3RVN17NRoNgIobWqWlOABR9r8+ceIEWpmi6x7YjOnbjkYmfJqpmLUEQeik8GEtQRCSjHmsJTic1nLxV8oBQCRoVHjSWMqkQ6iJxidaRmP9CzeplFcRoFBCI+BJpeioCDSSoqj0wDYQ+Tz9JDSqHwfqabiXnCVile5GwPqeSgX2qHIazyl/q2gEsF9M+Z61BA6nRUPjSsHhiASdTmcLfDsStVqNlJQU+Pv724LbWq0WUVFRtr4PlT0gEhMTUVRUBLPZDKlUyi3GGSCD+B9UAEBO5DwpBHYB4C4CgfowAn3IACBZwu1exQSVuziVqqMMCY2yIxWRFJM8Ar9QFyJLFDTC9ICMyG+TCvdbaVSalxHp9X1TTuP36Uzj44QTgfO8i0jLmKs0lhFIfGc5HE7jofF0yOFwbFRWcVeSnZ1dZUxsbCy0Wi1SUlJs23Q6HdauXVtlPz4+Pti3bx+GDx8Oo9EIo9GI4mIalbLNhcuGXNYSBEElpfGwQqUC2xfi/zzPgYZ1rxuR6SSNmiMQ+GVWUEykypNKYDfUTKOetZ1V/OfpSuOniWwat07kE3FHCCFy9/wFhawlCMIIMw0XJTWR6226jMZ1yN8s/jlfrvinQQAAPZEkmu56GufJqZni4mK7GEV1yGQyeHt7C6SI0xwh8tjE4XAqqazirqSmau7Y2Fg8/PDDttdvD3Tf2jdbo9HAz88P586dc5BqTm1EKv1YSxCEa6YC1hIEodxKo1ouR/zP12SqjiItNGwW/5aWs5YgCAFE+s/mEqhkBYB2RJwDLstofJ5hBCqPUuU0IioDymmc55fqMtYSBKG1hEY7FQuRDoTuZhrnmSej8ayistI4z1S5+L+3TkQ+yxIiibZGCQ2XRU7NvPPOO/jhhx9qHRMcHIxDhw4JpIjTHOEBbA6HUyM+Pj62YPftge7bK7krrcU5wnOJV2CLClcJjfPsbhZ/UOV3KY1F2zKJ+BdLAKCbxYm1BEEgsPYFAJAQqeCIMLBWIAzdLDQWwM4SyBc6b6Hh5CRX07BiNlppLMJngUY7FSmR5Mx0BY3zpJE2DXhZaHyeFCijMd1Dfx2N76yUTEMVTk3MmjULo0aNqnWMSiX+tUNO7fAANofDqRF/f3/b/6vVavTs2ZOhGg51vGU0KhuG62gEsPeqxb/Q18FKI+BJBSoW4kTWptHeRCOCnaikkZGQIqFRge1H4AdKpcKTyBo8QqU05u8FVhrXoH6gYa2dKqUx6+tEZC6USsRCvEgi/u9toJVGGCNNQWOW4CH+ryynDtq3b4/27duzlsFp5tC48nM4nDtCrVbbKq8TEhIYq+HUBJXK5GJL7X1RxMJONY3sQiWBpdtdhhTWEgShmyqAtQRBKCMSwnaT0Hg8uGalUeUZJnFlLUEQDpdcZS1BEGQErBZnOUeyliAIN4gkXVww5bGWIAitZG6sJQjCNSmN7634r7QVnJDTmNsmErkO+RJI+O9kpuFe8qO0kLUEQRghpZEUxeFwGgeNFSoOh1MjiYmJdvbgiYmJsFj+tXHJyxP/ZL9c+jprCY2itfwz1hIE4YapiLUEQfjHWMBagiBMlgSxluBwuspbs5YgCCdBI7mESmDXg8jjgY+UgBczgOtmGoH6Ua4RrCUIwt/mfNYSHE6ahIapLZWkqNZyGovTVKzS++tpzBF2Kmm0AQqU0Eicbi/3ZC1BECIt4p/b/iKj8du8W0IjUH+KSFIUh8NpHDRmnxwOp0Zu7XOt1Wrh4+ODdevW2V6v7HWdn1+xYObl5WUX5DYajSgubtmLo2d1z7OW0CgmmvzrHiQCFASqjgBghDSQtQRBOCMVf2PWciKL0xIClrYA0N5KY5Evj4D9IAB0BY3K5DKZC2sJghBhoHEdMis9WUtwOKlWGovTdxFxR/Aj0p++RELDoniLsmU/99cXT4mStQRB8LLSsBAfrqPx+9zqJP7n6wDQeB7zINK3/W/QmPNxOJzGwQPYHA5xwsLCbBXY2dnZdv+u3FYZ0K4MZgcGBiIzMxO5ublMNDc1vZUt2/72PYi/khUAVlozWEsQhF1mGuc50Sr+7+1vUhoPZBEQf7Y/AJxFKWsJgqAGjcXMEiKB+lIiiTR9zTTaqVCo8QyU0LinRBpoBHa9zDSuQTcUNO6dRKYIGGCkcR1KVFC4qwAlEhpf3ACr+IOeeiLJQmVEzjNI4sRaAofDaQHwADaHQ5zY2Fjb/2s0GsTGxtoC1QCQlJSEnj17spInCP8sT2ItoVFoFN6sJQiCzkDDUrKT0pe1BEE4BT1rCQ7nXov4+5ABwN9SGhbiDxtpVLJeIrKY2cpMI3gUaKTxeW5wEv89BQBkBBwvHjTQCBz1D8xkLUEQvsyj4RR13VrCWoIg/MdAI1loo4qGra0nkSXhP9U0goGBZvHPEQJoLAnhpIrGd/Y+Iw23Cw6H0zhozFY4HE69SEhIQM+ePSGVSiGT0chSFQMdLDRslE6xFiAQFww5rCUIwt1K8S9ofqm7xFqCINzvHMZagiBcl9NYSAghEtj9R0ajKjBXSuPzpBDYBYBiq/iDKjcUNALYchWN5JIuROz99Uoa39trEhpLiNE6Gr/PDAWN3+cZmfjvnQCQJRP/s4obkXXKfjoa8/c0GjlRHA6nkdCYfXI4IkOtVlex+W4KTpw4AQCYNm0avLy87PYfFhZmq8pOSEhokuM1F9o/05G1hEYRHJvCWoIgqCU0ZrehcnfWEgQhyZjHWoLDUUppTLNaE+kNLScSICuncZrIstKo2HUmYs3nRuSxNoBAX9ZAGnEGnLzWslsY1ZdsJY2bip+VxjVoq7yQtQRB8JXSSEgwkGhMAahBIxioInCezgTOEQA2qWi0IrvP6spaQrPn008/xWeffVbrmF9++QUBAXO0vFkAAMSJSURBVBXzSpPJhNWrV2Pbtm1IS0uDp6cnoqOj8cILL9it8wNAx461r4WPHz8eb7/9tu3fcXFx+OOPP5CSkoKioiJ4enqiXbt2mDx5MoYMGVLrviwWCyZOnIgzZ86gT58+WLt2ba3j60NZWRlGjBiBtLQ0jBs3Du+8806VMfn5+fj4448RHx+PgoICBAcHY9y4cZg+fTrk8vrN3ZKTk/Hpp5/i/PnzyMnJgcFgQGBgIO69917Mnj0bbdq0qfX9iYmJGDduHEwmE95//33ExMTcyemShsYsm8MRGbfafgOwC2bXRKUteH2C3bffSLRaLY4dO4Zu3bqJLngNtHwL8Q3SgawlCMIP0nzWEgQh2URjYUhvEf8KdS91MGsJgpBMwA4eAHqaaSxmXiVSmWwVf5EKAKCYSA9sI5FF+IuWUtYSHE4/E43FTBloXIRcafw0UUSg8hEAeks8WEsQBCOVSQIRciQ0fKddCDSpP2MpYi1BEEKlNFqRETGjaRRDhgxBWFhVx7v09HR8/PHH6Ny5sy14DVSs3+/atQuDBg3CzJkzcePGDXzzzTc4efIkNm3aBGfnf79b77//frXH/Oabb3D+/Hk8+OCDdttPnTqFDh06YMiQIfDw8EBBQQF++uknzJs3D8888wxeeOGFGs/jm2++weXLlxt49rXz0UcfIT+/5nXikpISTJ48GdeuXcMTTzyBjh074s8//8TSpUtx9erVKrGVmsjMzERWVhYGDx6MgIAAKJVKXLt2Ddu3b8ePP/6IDRs2IDIystr3mkwmLFiwAEqlEiYTjXuRI+ABbA6HCDqdDnFxcfUKdt9ObGwsJk2ahLi4OLv+2ID4qrFbIpfkNBanS00G1hIEwWil8Xl2VwWyluBwTEQCKm2tNAK7+yU0kktkVhrVcmYii9N6IgFsKlAIHv1FpFfpXTSmtZDS+DjJcAI0gkfd4cZagiBkS2jMEcqJPJO1sorfsY5KYLfYSiPQdVJG47fZGCIjI6sNjn788ccAgMcee8y27ffff8euXbvw4IMPYvny5bbtnTt3xnPPPYfVq1dj3rx5tu3VVQKXlJTgzTffREBAAB544AG717799tsq46dNm4axY8di9erVePbZZ6FUVnWLSk1NxbJly6DRaPDuu+/WfdL14OTJk1i3bh1ee+21Gve5atUq/PPPP3jttdcwffp0ABVV5W5ubvj+++8xduxY3HvvvXUeq3fv3ujdu3eV7Y888gjGjx+Pb775psZg+OrVq3H9+nXMnj0by5Yta8AZcm6FB7A5HE69CAsLg0ajQXZ2NtatW2fbrtFooFarbdXdlVbjtwa2ZTIZzObm+3DU0i3EOy25yVqCIJRaiKz0EcFMoPJIb+UPZGIiUkpjMdPLSsOa75JUV/cgEaAmUI0DAB5EzlNB4LayurxlOyPVlzhpB9YSBEEvofHbpIK/hEbSYhGRgKeXlcbv05/IHEFH4Pla/GdYQRiRa20nA43nzqbGbDZj+/btcHZ2xogRI2zbd+7cCQC2YG0lDz30EIKDg7Fz5067AHZ17N69G2VlZZg2bRpk9eg5L5fLERAQgKSkJOj1+moD2AsXLkT79u0xZcqUJglgGwwGLFy4EIMHD0Z0dHSN+9y5cyecnJzw+OOP222fPn06vv/+e+zYsaNeAeyaCA6ucFwsLi6u9vVr167hs88+w8svvwwXF5c7Pg6HB7A5HE49qcwm0mg0dlXYtwa0tVotMjIycO7cObv3NufgNdDyLcSHWCNYSxAEZ6n4M4oBwEKkKvCyUfyW8G3k4q+Uo0SytZy1BEEokNC41joTWcwsBo0KDirkSsXffmOMC43A7kkiyUJZEvF/ZwGgwErjPO+10Kh+pEKSlEaCuDeRpW8XAveVXCuN1lVhqBoEFCNGGsZfiI6OrvX1+Pj4Bu3vl19+QVZWFh599FG4uv7beufMmTOQSqXo1q1blfd0794de/bsQUFBATw9PWvc95YtWyCVSjFu3Lgax+Tl5dn+u2/fPiQkJKBnz55wc6ua8L9582acOHEC27Ztg1TaNNeozz//HNnZ2VizZg2MxurnX7m5uUhLS0P37t2hVtsnhISEhMDPzw9nz55t0HENBgNKSkpgNBqRkpJi600+cODAKmOtVisWLFiAyMhITJo0CTt27GjQsTj20LiLczicJkOtViMlJcUWtO7Zsyd69uzJWBVtvGU0FhIKzDSCR6Fyd9YSBEEG8T+t6IhY94r/k6zgHiuNrNlyIrUNx600LOGjpDTuKTmgsQhfSsBSUiqhcVfxJ1L5OFhP4zyz5DSSv8rEHx8DAByXlLCWIAieRIJk5y3VV8eJDX+p+Kt277a61j1IBJwGjWtQG4UTawktks2bNwMAJkyYYLc9MzMTXl5e1VZBV/bJzszMrDGAfeHCBZw/fx79+/e3VRdXR58+fWz/r1AoMHToULzxxhtVxmVlZeH999/H9OnTa+wR3VAuXryIlStXYuHChQgICMCNGzeqHZeZmQkACAysvnVhYGAgUlJSGnTsPXv2QKvV2v7t6+uLV155pdpg//r163H27NkmDdxThgewORxOg4iNjYVWq8W0adPg5eUFX19f5ObmspbVKFq6hfj9S2ksDFHpJ9yKiF3U78Ys1hIcTmsiFdhXJTSsmN0kNKbN3lYa59laSiMh4SKRRdtiK40ANgX8ZTTmQToJjWShZCWNRTsVjY8Tv4BG8tfdEhrJXwoi39tiifiTvwAg0qJiLcHhFBO5d95LJFB/l47Gb3NJAyusayM7OxtHjhxBREQEunbtaveaTqeDh0f1a1Aqlco2piYqA+O39tWujjVr1sBsNiMzMxN79+6FwWBAaWkpfHx87Ma9+eab8PLyqtO2vL6YTCa8/vrr6NKlCyZOnFjr2MrzrC6YD1T8PcrLG1Yk1a9fP6xZswbl5eW4fPky9u7di+LiYphMJsjl/66hpKen48MPP8SMGTPQsWPLjjc0F2isUHE4nDviVqvw/Px8eHl5ITExscUHrDktk16KANYSBKGUSNUuBShUmQN0zlMNGovwuUQW+aj0TA6T0EikodLTXEngOuRDpDKZCodQwFqCILgQaXUkITLnoxLYzZfQeO70BI3fp4pAvr+PmcY1KEFBwyq9yImGC8SwJtzX9u3bYTabqw0yq9VqGAzVJ/Xq9XrbmOooLy/Hnj174Ovri0GDBtWqoW/fvrb/Hz9+PObMmYMnnngCP/74I9zdKxLA9u7di0OHDmHNmjU1HrOhrF69GpcuXcKOHTsgqcOxqfKYtf09nJz+dQDIy8ur0v7Uz8/P7t/+/v7w9/cHUGELP3z4cMTExCAvLw+LFy+2jfvvf/8LX19fzJ07t/4nx6kVHsDmcDhVqAxc397fWqfT2YLX3t7eKCkpqfFmwBGOmToatjtvyjJZSxCEQcpWrCUIQieFN2sJDqeThUYVWTERy+kyCYFVIQBtLDQW+Y4QCaqYrDQWp9vJaFTLlRFIcisgElDREXEWCpTQeE45aRC/sxAA5Blo2NoGuLZnLUEQPIksCUuJPKtkS8V/nhdkNBJtHysXf8IiAEhB4/NsKqxWK7Zu3Qq1Wo2YmJgqrwcGBuL69eswGAxVKo+zsrJsY6pj3759KC4uxuOPPw6FomHrAaNHj8bhw4fxv//9D2PHjoXBYMDbb7+Nfv36ITg4GMnJyXbjdTodkpOT4eLiAl9f33odIzs7G5999hlGjRoFhUJh22fleZWUlCA5ORnu7u7w8vKynWellfjtZGZm2mzVAWDcuHFIS0uzG5OUlFSrptDQUNx7773Yvn07Fi1aBIVCgYMHDyIhIQGLFy+2O/bNmzdt/01OToa/v79dAJ1TOzRmKxxOM0OtVkOj0SA7O9sh+7+1crqShhxLp9MhLi4OWq0WGo0GCQkJtte8vb2Rl5eHvLy8JtPLaRyZchqXcgWRarmfjRmsJQhCe7kXawkO56yURt/2bHMZawmC0EbmxlqCIORIiSSm0YgdkakKTLPQuA75EuhvKSVS4XnS4JjnwOaGgUDfdgCIVPrVPUgE6BSerCUIQoSFRlVgiFH8AU8ASFfQCAYmEZjDFxO5p2x1orH25UYkLBXdRPv5/fffkZqaipiYGFul86106dIFV69exZkzZ3DvvffavXbq1CmEhYXV2P968+bNkEgkGD9+fIN1VcYfioqKbP/Oy8vD0aNHMXTo0CrjT506haFDh2LYsGGIi4ur1zFu3rwJvV6Pbdu2Ydu2bVVe37dvH/bt24fZs2fjpZdegq+vL1q1aoWLFy9Cp9PZVYGnpaUhJycHDzzwgG3bBx98YKtSbwg6nQ5GoxFlZWXw8PCwBcH/+9//Vjt+yZIlWLJkCVasWIEBAwY0+HhUoXGl4HCaGbGxsQAAjUZTbbC5JuobhK4MQN+KRqOpMq6mY1cep1JndeMrLcVvDW5z2NDBTMM20yKj8YBNhQIC/UpdiUyzekvFX00PACmgYeXmBxqLthYaa5kIIPJ53gCNuZCVQBVZFyONRVsog1grEAQzge8sQKedCgUXCAAIMdD43hbJaHxvPWh8bdGBwJzvmET8awgAEADx9zMHgCgqc74mYsuWLQBq7lEdExODHTt2YPXq1XYB7AMHDiAtLQ3z58+v9n1XrlzByZMncd999yEsLKzaMYWFhXBycqpS2W0wGLBhwwYAQLdu3QAATk5OWLZsWbX7ef755xEREYG5c+ciKKj+c+GQkJBq95mXl4e33noLffr0wcSJExEeHm57bdSoUfjyyy+xYcMGTJ8+3bZ9zZo1AGBXxd6jR48aj52Tk1PFThwA/v77b5w8eRJt27a19R4fNGhQtVXux48fx7p16zBlyhT07NkTd911Vz3OmlMJjZVVDqcZU12wuSaqC0I74tg1BdZ5sLp5ckYh/mocAGSq5aIU9bPQ4TR/KAQaAOAGkcBufyONa62HmcbF9gcVjd9nBpHfJxX+0onfpUWtDmEtQRB6GWm4IxQRSRa6SsTWlkpCwmo5Dbc5KkmoVEJkFC63UXBhLUEQXC00kkv+UdB47mwK8vLycPDgQYSHh6Nnz57Vjunbty9GjBiBPXv2YM6cOYiOjsaNGzewdu1atG/f3i6IeyuVgfEJEybUePw///wTixYtwtChQ9G6dWu4uroiPT0du3fvxo0bNzBhwgRbAFuhUODhhx+ucV8+Pj61vl4dbm5u1b7nxo0bAIDg4OAqr8+ePRv79+/HBx98gLS0NHTs2BF//vkndu7ciZiYGPTq1atex37zzTeRnZ2N++67D8HBwTAYDLh48SL27NkDiUSCN954wza2devWaN26dZV9lJVVuIXdfffdDT53Dg9gczjkqLQvB2qu6Far1cjIyMC5c+eElMa5Qyj0OgIAhZXCIxlw1VTIWoIg9JGLP1CfRiRwlEnEQvxr3GQtQRAUMhrXWoORSDkOEaZLaQQ9fQkEd/VEMhZLaFxqkUfkOSXTSmPON0dPYwkxjUhgV0ckSHaFSJCsiIBDAhUXCCpzoc5WZ9YSWgw7d+6E0Wissfq6kvfeew8RERHYvn073nrrLXh6eiImJgYvvPACXFyqJoAYDAbs2LEDXl5eGDx4cI37jYiIQHR0NE6cOIG9e/faLLPvuusuvPjiixg2bFijz7GpcXV1xfr16/Hxxx9j37592LhxI4KDg/Hiiy9ixowZ9d7P8OHDsWvXLuzevRt5eXmwWq0ICgpCTEwMpk+fblf1zXEMNGafHA7Hxq224DVVdN86pjrb8DNnzkCn08FgoGHf09wJMtN48NRbaTysgMhDWRaMrCU4HKOVxqItjcdroJcigLUEQVARsUHNAo05jOX/sXffYVFdWx+Af8MwdKSKigp2wV4QKxpj76Am9l6jxqgxUdQYNbFr7GKJBXuLosaGGLsRG2pU7CgIiAUUhw4z3x98M5eRLsMc5qz1Pk+ee2fOAdb2zJyy195rEzkPXZfQKCFuRmAemRWRLgoqJW1TJDSuKS4SGp3wL4iUnJYRuXa+pnG6hQWRgfCmBO7h4yXivw8CgEqpND6zZgoa51ptGDJkSLYzqDOSyWQYNWoURo0alaffa2RkhKtXr+a6n5OTE37//fc8/c6cPHr0qMC/I6MyZcrk+DttbW0xZ84czJkz54v/RseOHQucoO/evTu6d+9eoN9BGZHbFcbYl/p8HWwgPakdGRkJGxsbAFxaXGhGRO75ZCSKYgFGBnxpFgspkU7bpkRmqZgTmaVSM4lGGdQjpjTOtfESGlkya9Aox/yBwOCvj6BxDvokNRU6BJ2QS2g8qDwEjWo05lIa5XupDLyg0UoapbUBwFgp/iMaT+SacldG416obgqN5zHGWMHwmYIxIoKDgzPNuA4ODkbbtm013ouOprHek5jMT34odAg6Mc+wqtAh6MQVGY1kQyyBDurA+FChQ9CJiqZVhA5BJz4R6TC5b0zj8cCAQCIQAOql0Vi7ncr6sx+V4v/cWkhonIMcUmjUL7lpIv7PLADUUtJI7D40oFEqvUMijUFRMYY0UrtSGrfweEdgcrKtgsZn9huJXOgQdEJhIP5BFyxncXFx6vWhc1K8eHEdRMOKKhpPh4wx2NnZYdmyZRolwV1dXXn2tAiMMnUROgSduGBAowPsYRqNNbCdpZZCh1Do6pmKf61SAAhSxgodgk6UNqBRHlQuodExJCeyXMNtKY12UqnSUkIi/gEJNI4kEGJEo6UuCmOhQ9AJKrMC3yloLNfgZEjjuTNeYSF0CDrx0IjGgKGyBMpOhxrSOJYvE2l8Nz8ZiP8zCwD1hA6gCNu8eTNWr16d637aLj3O9AsnsBkTiYyJ6Tdv3mTa7uTkhIkTJ+LNmzfYuXOnen8PDw8AXAZcn12VfBI6BJ3Y1IpGab4OJ2kkGwgs4wkpkcJ89STFhA5BJyKIzNilsgZ2ipJGB1gCgWoXABCnoPH9rCgV//m2ooLGzMdwAxr3ezTOtECEkkZit3eK+M9BAHCExrgL1EqiMfCiYgqNJNlDApXcIpQ0qkDITYyEDkEnqhEYdMFy5unpifr16wsdBiviOIHNmEgkJiZi2bJlAJCpVDjwv7WsVdsSExNhYmKiTnp7eHggJiYGNjY2ePPmDZycnNTbgoODoVCkdz8kJCTA0NAQMpkMcrkcycnJhd42lrM4AuUkAWBVgIPQIehEBcMEoUPQiTSIv8OknpLGjN37BjQ6bc0ojLoAnYEX7VNofD/fEHnau2pAo9QihWvnEyIVd+qn0EjUvyVyDgon8N0EgCvG4k+QAUCjZBr3fFYKGoPc0oh0fZdNE//n1ppIRay6CTS+my6looQOgQmsbNmyKFu2rNBhsCKOxlWcMaZmYmKinont4OCgTnpn5O3tjdDQUOzcuVPjvcTERAQHB+Pdu3e6DLnQhZvp9+zz30p9I3QIOvFeQqPD5HnKB6FD0IlqMjuhQyh0dw1oDEagkvAsT2RWIJVx8C9kNJINURIaHWBUBpgoCCTJbIl0UYQZiv9YAsBNJY2lcSwlNGbLhStpVMR6IhP/UkcA8F5K4942jMhyKgkEal44Kml8Ztcbxwkdgk6U/mArdAg6kXuBbMZYTmg8HTLG1D6fiZ3dPt7e3pg4caJ6VjaXGC+6HoJGR4IjxL/uIwAkK2kkGx6kvBc6hEI3WOIodAg6EWhIYwa2NY2+LzJJFRrDLgAjIkMSDIm005hAOy2U4m8jABjRONWiqgGNRKAlkc/tHdBYuspMSeMu4T8pjXLMzZNp1IS/ZyT+z+1jCY3nzvISc6FD0Ak7JY0BqIyxguEENmNEmZiYIDQ0NNvtqkS3t7c3Tp8+rauwBJGwVL9LUz+ZL/5EIAA0ljoJHYJOGEloXJqtpOIfkHBeQmNwSRWlqdAh6MRTmfhnNQBAKJF1POsQKfH/TkIjSxZDZE3EchB/MvCFhMax9EihkVCJJpBQAYBgIgOKxyXS+NyeNqVxz2cLGrNZT8hofD9bpIr/3tbAkEa1C3sFjUFRH4k8pzDGCoZGLzljLJP58+fnOAs7436qZLaKt7c3IiMjRTMz+/0wa6FDKBDpfBo3tyFSGjOT60qLCx2CTiQRKHH2QZksdAhMi6JB4xxkT6QMarRE/OcgACippPG4VwrFhA5BJ2IILKdCYZY5ACTQaCZSCZS9B4A2qTRmy600iRU6BJ2oTKSr9AORe1sqgxaDDcV/PGlcUYB4CY3BXyFEZtQzxgqGxl0ZYyKX22zqnH4uYxI7JiYG9+7d02ZoeqGhUQmhQyiQadJSQoegEw2SaYycHql4LXQIOjHAqILQIRQ6YyWNWSrvDWh0JaQQGHQB0GmnhMhjUAKRRH3bBKEj0I0jBGYFtkiiMSPwtrH4jyUAfIL4B10AwBlDGpUDlEoa93xuyTRGmEQZ0nhWoaJCmvjvbeU0vpowpXGqRbM0GpXcGGMFI/6rG2ME5HU2dVY/l5G3tzcAwMbGRv0ehaR2YHKU0CEUSLdUGh0mT4zLCB2CTtgQKP0FAM8MxD87+ROR9cyrgMaDp6tC/GXvATozG1JoTGzAGwmN81CMlMYaepUV4n98v2ycInQIOvFcIRc6BJ0IT/4gdAg64Wqs30tSMU2xUho3CRY0xtEQqesBPDcU/118uET8fQgA4JVI4772kbH472sL6sWLFzh69CguX76MsLAwxMXFwdHREU2aNMHIkSPh4PC/+483b95g586dePDgAYKDg/H27Vs0btwYW7duzfJ3r1q1CqtXr85yW7t27bBy5UqN9xQKBY4cOYI9e/YgJCQEycnJKFmyJFq3bo0hQ4bA1tY20+/Zt28fduzYgRcvXsDMzAxNmzbFjz/+CEdHxy/+N3n79i3Wr1+Ps2fPIioqCubm5qhcuTJGjRoFDw+PL25fdl69eoVWrVplu/3WrVswN9esxPPw4UOsX78ed+7cwdu3b2FnZ4fq1atj2LBhqFevXp7+LvsfPlMwJlLe3t5ITNQsxyKGct+FQd9nYNeX0Uge/ZscKXQIOjHCoKzQIejENYh/4EVDBY3BCEFSGqW/bCU0ZgWWS6PRYfKfAY0pu9ZE1rd8SqOZoDDERAIaiaNv02xy30kE7JXiX7cdAMIIzHwE6CQ839A4nHBMEf81BQDeGNK4riQRWE+4RTKNqgE3TcR/LAGgXiKNKi0FceDAAezcuRMtW7ZEhw4dYGJigtu3b2PXrl04cuQIdu/ejYoVKwIAQkJCsG7dOpQoUQI1a9bEP//8k6e/4e3trTGRDQBKly6dab8FCxbA19cXDRs2xNixY2FkZISgoCBs3LgR/v7+OHz4MExM/jfof/ny5fDx8UG9evUwbdo0REdHw9fXF9euXcOBAwdQokT+++IfP36MwYMHQyqVonv37ihbtizkcjmePHmC16+zrmaZ1/blpk2bNmjTpk2m942NNc9Ld+/eRb9+/WBtbY1vv/0WJUuWREREBPbt24d+/fph48aNaNasWb7/PmVEbssYo8XExES9RjWQPovaxsYG9vb2UCgyP3VGR0frOkSmRSUNaCSwp4PGuqw3aDxfk/BWSuPBMzItTugQdMJSaiV0CDpxX0pjZoMZaCTqQxU0vp9102h8P63TxJ89Kk5kTdYUJY1O2yOmNM61r5U0zrX2hjSex+ql0BgVVdXok9Ah6ER8ajGhQ9CJckrxzzU/Y0RjAKopkecUkGnnl2vXrh1GjhyJYsX+dx7r1asX6tSpg5kzZ2LlypVYsWIFAKB69eq4cuUK7OzsAABVq1bN099o3bo1ypTJueJlQkICdu3ahZo1a8LX1xeS/1+nvXfv3rC0tMT27dtx9epVfPXVVwDSk+kbNmxA9erVsX37dhgapqcgPTw88M0332D58uWZqsLmJjk5GT/88APs7OywY8cOWFnl7fkvL+3Li6pVq6Jbt2657rdt2zYkJydj06ZNqFKlikYc3bt3x759+ziBnU+cwGZMhLIqDZ6YmIiSJUvCxsaGZ2KLzG09L4GeV3FpNNb6vmMk/pnJVIQoaTxgl5aa576TCFQgULoXAGgU76XTXVJdSSPZ8EBGIxkYIxN/cre0ksbsqjZJNO73KKzJCgCvDWgcz8bJNI7nRyI3CQclNCokOIg/rwsAMCYwdtpVSWPyBoVjCQAxRM61BVGzZs0s3+/UqRNmzpyJR48eqd+zsLCAhYXFF/0duVwOY2NjyGRZD+BKTExESkoK7O3t1clrFVUZ84yzr//++2+kpaVhwIAB6uS1qj0NGjTAyZMnMXv2bBgZ5f1Z9eTJk3j+/DnWrFkDKysrJCcnIy0tDaamuZ8XcmtfXiUnJyMlJSVTyfDP/xYAjfLuANQzzvMSL9NE4+6TMQJMTEzg5uaW5baM61A8fvxYVyExHTlcjsZdn+eLrMvBiI0ymcbTSh09L92fF1RKiEcb0PjMliRSZjGGSJnFCCIVEiyUNI5nPMQ/MxkAZATKa1dIFX8bAWADkfKgVZQ02knFfSMax5PKtbNjMo3BtlEKk9x3EoE3huLP1L+X0Biw2DKRxrk2USL+zyyAHNdPBoAzZ87k+3dGRaVPZLK3t/+imDLq1q0b5HI5JBIJqlSpggEDBuCbb77R2MfGxgbVq1fH+fPnsWHDBrRt2xYymQxBQUHYtGkTmjVrBnd3d/X+d+7cAQDUrVs309+rW7curl27hidPnqB69ep5jvP8+fPqWAYPHozAwEAoFAqULVsWw4YNQ58+fb64fXmxZcsWrFmzBkqlEra2tmjbti1++OGHTGt/N2vWDGfPnsWPP/6I8ePHq0uIr1ixAlZWVhg6dGi+/zZ1nMBmTA95e3sjKCgoUznwz0+aQPrIn0+f/lcaKqsS4ky/eTz+KHQIOhHUo7jQIejEqJM0RuPVUIh/hlWFZPHPlAOA26Y02vkVkc7MeALfTQDwksiFDkEnElJoPO6FSGhcOy8bib/Ev6mCRqdtvJLGtfOCgsZSVbYGNK6ddxSxQoegE10V1kKHoBOviSR2nWQ0Svyflor/eEYrxX8fBAAmRNI15kSWjSkMqrLh3bt3/+LfYWlpiR49eqB+/fqwsbFBeHg49u7dixkzZuDBgwf49ddfNfZfuXIlvL29sXTpUixdulT9fr9+/TBt2jQYGPxvQIIqwV6yZMlMf1c1E/n169f5SmA/e/YMADBu3DhUr14dS5YsQXx8PDZt2oRZs2bh48ePGD169Be3LzsGBgZwd3dHq1atUKZMGcjlcly+fBl79+7FpUuXsG/fPnXZdgDo06cPoqKisGPHDnz77bfq96tUqYJ9+/ahXLlyeW4zS0fjjMiYyCQmJsLV1RXLli1Tv6cqE55TeXCZTAYDAwMYGBggJYVKkdDchZvpd0n1JsWbCh2CTsTdp/GwYi2hsY5nKoH+6f2mNM6zFZTi7ywBgIs0+qZRmkg/wsPULyuvpm+e0qggjipEqpcYEpiBvZvImqyRqTTamaSgcS9kZ0TjXkhGZLbcI0MaszxvGNK46auoJFIqnUDFiw9EFju6akLjwTNEQmP5jS+ZYZ2TdevW4dSpU2jdujW8vLy++PcMHjw403t9+vTBgAEDsGvXLnTr1g116tRRbzM1NYWTkxPMzc3Rvn17mJiY4NKlS9i9ezeSkpIwd+5c9b4JCekVPrIqEW5snP75TkxMzFe8cXHpg5GcnZ2xceNGdSnz1q1bo02bNvDx8UHfvn3V64Xnt33ZcXR0xPbt2zXe8/T0RL169TBr1iysWLECc+bMUW8zMDBAiRIl4OLigtatW6NcuXJ48eIFNm3ahOHDh8PX1xelS5fOV9up4wQ2Y3rExMQEEydOxJs3bzKtpZCYmJhlQlslODgY796901msTHd+SRV/KWYAaPPkhdAh6EQrUxodQ2cg/hk5PybQ6Cy5TKPPFsMrvBI6BJ14HEyj2kXV6m+FDkEnutTLXJ1HjFbty34dMjEpoyzYum36oDGRqgHHZDTa+VpBY+ZjGsSfOAKAZCWNxG7L/PWp6y1XBxqV3F6/o/FMdkUm/mo0xQxoXDu7m9Lou30QQ+M5RZt8fX2xbNkyuLu7Y8mSJZnWoy4oQ0NDfPfddxgxYgTOnj2rTvDGx8ejV69esLe3x+7du9V/t3379rC2tsbGjRvRtm1btGjRAsD/1nlOTk7WWBsbAJKS0gcufP5+blT7d+/eXaPdNjY2aNWqFfz8/HD79m00b9483+2Ljo5GWprmPU7x4jn3i/Tp0wdr1qzBuXPnNN5funQptmzZgkOHDqFKlSrq95s1a4bu3btj0aJF6hn0LG9onPkZE4n58+cDACZOnJjl9oxJ65iYGNjY2Ki3ZZe8lslkPBtbz0UZ0jiV24BG5/S9VPEndgGgg4FD7jvpORmREcUviLRzw/MyQoegEzJj8c/wBIBzT2kcT7vHNI6nGY1mkljpO8KQxsF8lUajFLOZAY0yEDSGnwIyIi19aiwVOgSdePxR/M9jAGBMo7sEDwzEP/LCAjS+m3c+2OW+kwiEEHnu1JYtW7ZgwYIFaNy4MXx8fNRJYm0rUyb9OTk6+n99k/7+/ggLC0Pfvn0zJc3bt2+PjRs34urVq+oEdokSJfD48WO8fv06U8nsnMqL56RkyZJ4/Phxloll1XsfP+Y+MCur9vXs2RPh4eEa+z169CjX31W6dGncv39f/TolJQVbt25FhQoVNJLXAFC1alVUqFABgYGBuf5eponIZZwxcTExMUFoaGim9z+fhf25rGZlq9bETklJ0Vgrm+kPKrd8bjIaswIvJoXnvpMI7FVkPoeJzRMTGtURyilplDizU9A425pSyJABuC6jMXivSqr4Z+wCwGqD10KHoBMUzkIlDGmU93+dTGPmo5mUxj3Ck9QEoUPQCQmJsxCQZEpjpnmqksZNH5XPrUwh/gEmzxU0Bk5fgvgHIwBAO4mT0CHojQ0bNmDp0qXw8PDAmjVr1GW4C8OLFy8AAPb29ur3VEnnz2cpZ3wv47ZatWrh4sWLuH37dqYEdlBQEMzMzFCpUqV8xVW7dm1cuHABkZGRmbap3ssYc3ayat/ixYvVM8PzSqFQIDQ0VOP3xMTEICUlJct/JwBITU3NdhvLHiewGdND8+fPz3YW9ufyMivb1tYWMpkMtra2kMvlUP7/2jmpqelrIimVSkgkEvX7rGipnEbj5tZXQqOjz4JIR9/TePEnG9wMaDyQRUppXBsqJdNYJzDWgMbMhvqpNGYFWipofG6tZDTWMrAzEH87g5NplM1MSksWOgSdoJLApsJAy6VKi6oEImu320vNhA5BJ6hUDrgsfyZ0CIVOKqHxnNLFoqrQIejEE6Vc6BD0wrp167Bs2TK0bNkSK1euzHJd6fxKTU1FQkICLC01l1hISEjAqlWrAACtWrVSv69KNh89ehSDBw+GTPa/QdIHDx4EkJ5gVuncuTPWrVuHbdu2oXPnzjD8/8qh//33H65fvw4vL698J+G7du0KHx8f7N+/H9988406hqioKJw5cwbW1tbqkuD5bV/9+vWz/buf51JUNm7ciOjoaAwYMED9nr29PWxsbBASEoLbt29rrLEdFBSEFy9eoEmTJvlqN+MENmOil99Z2SEhIShfvjwAzRnagGZ5DVZ0TJXGCB2CThgSefCkorwpjdnJFNDoygSSiHTaWihojAhOIdIB5lryvdAh6IQsRvyJXQAwIXAvlEQlcWRsJXQIOpFGZIYnExc5kVmeDlIaS3Qlg8a9ra1M/Gt9xxKpdmFB4H4PAOwkPMgtNzt37sSyZctgb2+PNm3a4MSJExrbzc3N0bp1a/XrtWvXamwPDw9Xv+fo6AhPT08A6Wtaf/311/j6669RsWJF2NraIjw8HIcOHcLr168xYsQI1KhRQ/17vvrqK9SpUwe3b99Gjx490LVrV5iamuLixYs4e/YsateujXbt2qn3r1ChAoYPH47169djwIAB6NatG2JiYrB161bY29tjwoQJ+f63cHJywtixY7FixQr07dsXnTt3RkJCAnbt2oXExETMnj1bXVY9v+3LyS+//ILY2FjUrVsXjo6OkMvluHLlCi5duoRKlSph3Lhx6n0NDAzw/fffY86cORgyZAh69+6NcuXK4cWLF9izZw9kMhl++OGHfLedOk5gM6anTExMNGZhv3nzBg4OmdcwCg4O1tjv4sWLuf7uV69eaSdIphNJShqzq6hcsoyIJFUqy8TfcXtBGS90CDrxRkGjI6EWMo+6FaPnRjTOQd+4hAkdgk6Y1rYWOgSdsDtAo1Q6hVlkxQl0wANARWkxoUPQCRMi65W+NaKR8EwkkgiMIzKQppKExgxsK6X4r50AUMFE/AMS5ETOQXLQGPwVQaQfoSD+++8/AOkVVKdNm5Zpe+nSpTUS2CtWrNDYHhoaqn7P3d1dncA2MTFB+/btcffuXZw7dw5yuRyWlpaoUaMGfvnlF43fCQBSqRRbtmzBxo0b4e/vjxUrVkCpVKJMmTIYPXo0Ro0apZ5lrTJx4kQ4Ojpi586dmDt3LszMzNC0aVNMmjQJJUp82YSWMWPGoHTp0ti2bRv++OMPGBgYoEaNGpg/fz6aNm2q3i+/7cvJV199hSNHjuCvv/7Chw8fYGhoCCcnJ3z//fcYMmQIzM01z739+vVDiRIlsH37dhw4cABxcXGwtraGh4cHxowZAxcXly9qO2USJdcEZkXcxIkTc5xBrGvajEeVWNbG78vud7Vt2xb+/v4AMs+2/lxekttic+PGDSi1UH5FSD1KtRc6BJ2ISqVRXohKAvsTgdL3ixSlhA5BJy6b0EgcDSou/rL3AJAcT2Ow0JWPxYUOQSeqEhlIc8SIxgzsjwQ6blsk0TgHrZO+FToEnWgtzTzAWoz+Q5zQIehEApGB09UNaAykMVXSqC5kp6DRzgQCzYw0EP99EACUTaPRJxQmpXE8F73YLXQIjOk1Gk+HjBGTMVGdlPS/0eC5lRNX/WxkZCRsbGzw5s0b7Ny5U+O9wMBA9VrYKSk0RiYXdTTGE9NRydBa6BB0g8AdyBMia+wqQWMs5L/hJYUOQSdKKGisy1rX7KPQIehEGpFO2weKT0KHoBN2BuIvtXjJmMZn1kxB4x7hopLGElSViCQ8IwgMogGAR0oaAxIaKWl8bl9JacxmjYL4++eqKsR/HwQAUUQ+szRayRgrKALdx4zRkzFR3bZt23z/7NatWwH8b1Z3YmIiSpUqhcTERFSpUgU2Njbq2doyWfrMu7S0NEilUk5qCyA0hUYnvLGExiXrQQqN9UqTCczgqCBzEjoEpkUxhjSSKm9Ao2Ooq02M0CHoRFoKjWFulT/ZCR2CTsRA/NfOJkk0Zh09k9EY/FXOwELoEHTinZLG4C8qyQY7CY0BJtESGkfUQUHjXkhpIP6qWFclsUKHoBM/JdPo+9ppJP7PLMtZXFwc4uNzrxhWvDiN6mksazTOiIyxL6JaZ/vNmzdwckpPxNjYpK8B6uHhgdu3b0MmkyE6On1kvUJB4wGoqDEAjaQKjVbSOZ5fG5UWOoRC1zCBRmfmLlMa5/5myTQ6vx7o+bIaeRUcbi90CDoRL6HxuX1rQmP9WUMCdXf2GtGYTV9TYiV0CDphTKRE8QcCMx8BoKSExnINNkS6SqmsDV2MRuEAhBmIf2CUA5FzUJJC/McSAEwJ3NeynG3evBmrV6/Odb9Hjx7pIBpWVNG4K2OMsIKMUpo/fz6A/5UVB9IT2MHBwVAoFEhKSkJiYqJ6FjbPvhZGqpLGE1k/aRmhQ9CJo3gndAg6cSbpldAhFLpoUxolp52UNGbsGkpoDEiwoDEeAeEyGo9BtSEXOgSdKAkzoUPQiU8Eyvc+SowSOgSdqGBqLnQIOvEKiUKHwLSIykBbIrdCZO75QohUvIgmMJDmA5FqF1eNiwkdgk5YKGl8N1n2PD09Ub9+faHDYEUcjZ4bxoooExMThIaGFurfcHBwyNN+qnWz37x5k2lbxkR2YmIi7Ozs4OTkhMjISNy7d0+r8TKWnT2KCKFD0ImqMluhQ9CJOALr7A5JotErtNmYxszHVCKzVEqmir9EMQDcNaHxGPQwhUb53ngCpbUBwEkp/lKLw40rCx2CTjwEjWsnlWSDFZGS0xHKBKFD0ImyEhqDotKIzH6kMPgLAKwJdPHHgsg1hcZHFk8MafSXsOyVLVsWZcuWFToMVsSJ/+rGWBE2f/589TrTBVXQZLhq3eyc4smYyA4NDYWTkxNev34NhUIBuVyOtLQ0pKURudMqQgyIlAelMuL/UUq00CHoRJJC/CPEk4mst+aioDED28SARqetIZGR8Imgsc5uioTGtdOCSCc8hUlkF4msb2mmpNEVQ+ObCShA4MtJiI2Sxj3CcymNwV91U2icb08b5r6OLNMPyTRu3/GRyABUxljB0LiKM0aANpPheflbqrLi797RKHfMmK6YSGhcml2NxT/T3DSZxoCeeAmNTttw0FhzzYrIshSVxT+GBgDgKqORDDxG4zSEjwamQodQ+IgcSyoJz7CUD0KHoBMuRl++bBcresql0sgexUhpPHcGy2jM8nQi8KwSqqSxLEWQlEY7S4BG9RLGWMHQuFthjOWLt7c3goKCODmtJ5xl1kKHoBOJRJIq0Wk0Rk7LCMzJWUWks6Sq0AHoyDMjGp2ZNmk0Hg+orPv4NNlS6BB0ooOUxvfzOYFSi+FEqkC8J9IJT0VJCY1qNC+UNJ5TbshojHKrmib+ZSkAwIFIVaz7BuK/rsiVNL6bXqlWQoegE/dlNPr4GGMFQ6OHijHCTExM1DOzs1rfOqv9Q0ND4erqimXLlqnXvQaAmJgYdclwAIiOplHquKgzJlIG9a0iTugQdEJKpFS6EYEEdjMFjfXzXhvQSDY0SKRR4uyjAY1rioLGqRb2ChprBd41pjGD4yOBdTxrS4oJHYJOyA3EPxgBAJ4RqSz0WkljTfM6oDEoKozIOrtx4n8cAwDIJTTOtxRms5oQeU55TOQe4YmSRh8fY6xgaDxNMEaYat1qAHkqMa4qD65aT1u1NjaQPjM7JSUFO3fuVCe2L168WDiB61DpeA+hQyiQkmVzH5ggBsYGNEaIGxJI7AJAVQKzPN8SSey+lIh/tD8AWBkTKN0L4D2RDpMUIuV7rxIZ5NYpQfyJXQD4z1j890LviJyDaHwzARMJlZbSEKSksSzF4CQaifrX4n8cAwA0SqExa/egqfj7Eagsv1EpRfzHEgAgsxA6AsaYHiByu8IYy4/s1tNWJbcnTpyImJgY3Lt3T2O7ra0t5HI5lEolUvToISHcTL+T8N+W6iB0CDoRkfpJ6BB0oqbMTugQdMIuSfwPn/8aJQgdgk7UJjLTvHwyjaSKo4TG1OT/aFR7RYMkGh1gT4mU+A8mUB40Tkmj2oWFRPyDEQDgYdJboUPQCVdjB6FD0AkJkXuER8Y0rp0laZxucdFE/DOT04n/gH4ico8QLKMx+MuYyOQNxljBcAKbMcIylgf/vLy4qvS46v2sSonb2tqq94+OjuaS4gIpI6ExKzACNBLYD1JpfI8SjMW/rlPTNBqJ3TdEZponGNDotE0h0jn9dYL+DLQrCHMpjY6+T0QG0kgIrPWdBBqDhV6nfhA6BJ0oY2QjdAiM5VuIhEYJcWMpjcRuJRq3fAgxEn81muISGp/ZF0oaA+HNiSwzok0KhQK9e/fGnTt30LhxY2zdujXbfYODg9GzZ0+kpqZi0aJF6NatW46/e+HChdi8eTOkUikePHiQ5T5v377F+vXrcfbsWURFRcHc3ByVK1fGqFGj4OGRubrpv//+iy1btuDOnTuIj4+Hvb09atWqhblz58LCIn8z8KdOnYpDhw5luW3o0KGYMmVKpvevX7+OVatW4b///gMA1KxZE+PHj4ebm1u+/nZG586dw6hRowAAO3fuzPV3jR8/HqdOnYKTkxNOnz79xX+XMj5TMEZYxvLgn8+4VpUeV72fXSnxjLy9vflkLIAbKTRmNhgRKUEYR2S9UgmBtb4lNPK6CJXQWPexLZGkyjMljURgMpER/2+VNAa50ejOBIlPbSPQWAPbn8i1Mzzlg9Ah6EQ1IxozsCmcgwA6ZYrDDcSf8ASAGBmNT64lgS7+RCLPY1ICfSUA8FoRL3QIesfX1xdPnjzJdb/U1FRMnz4dRkZGSE3NfUDz3bt34evrCzMzMyQlZX2P+vjxYwwePBhSqRTdu3dH2bJlIZfL8eTJE7x+/TrT/hs3bsSSJUvQsGFDjB49GhYWFnj79i2CgoKQkJCQ7wS2yqJFizK9V6lSpUzvXbx4EaNHj0aJEiUwbtw4GBkZYd++fRg0aBA2btyIJk2a5Ptvy+Vy/PrrrzAzM0N8fO6f39OnTyMgIAAmJib5/lvsf8R/dWOMFcjnM7EBzVLiwP9mZCsUNG4mixopkdlyVJgb0OiGL0Ug3RBoKP5SrwBQTkmjFnNsGo1Ovtc0DidSiIz4TyJyixBPo2+ahN1JIUKHoBOljMRfiQYADIh0wlNJeFLxWkFj9qO1AY21vhMkNPqpEiH+Z5V4pfjbCNCZmWxCZJKKtoSFhWHFihWYOHEi5s2bl+O+mzdvxosXLzBixAisWLEix31TUlIwffp0tGzZErGxsbh582amfZKTk/HDDz/Azs4OO3bsgJVVzvex165dw9KlSzF69OgslygtiNxmkgNAWloafv31VxgZGWHHjh1wdHQEAHh6eqJTp06YNWsWTp48CQOD/D1ELlq0CBKJBL1798bmzZtz3Dc2NhazZ89G//79ERAQkK+/wzTROCMyxr7Y5zOxVaXEg4OD1QlruVyO5GQas0aLIkcpjQfPiDQaJcSpiIT4zxmDE2l02m4zoTGLrBaRknXFaPTxoZVjpNAh6ETYK2uhQ9AJeQqN9YRDTMWfqa9uXELoEJgWFTemUQUiTUkjgV1aQqNKC4HVGgAAb0GjtnY1BY2Zb8b5TMToo2DIhQ5BJxoSWYrsvAH38eXHjBkzUKlSJQwYMCDHBHZISAhWr16Nn376Cebm5rn+3vXr1yMiIgJ//vknJk+enOU+J0+exPPnz7FmzRpYWVkhOTkZaWlpMDXN+j7Px8cHNjY2GDduHAAgLi4OxsbGMDQseCpSqVQiLi4OpqamkEqzHgRx48YNhIeHo3v37urkNQBYWlrim2++werVq3Hr1q18lRK/du0a9u3bh7Vr1+L+/fu57j9//nzIZDJMmDCBE9gFxAlsxlieqGZix8TEAABKliwJG5v0Nc0uXrwoZGjkPU5+J3QIOmFsQKNzurGMRsdtSYX4R9sGk7nLojHT3NU6RugQdMJFQaPXNji0uNAh6EStqpnLuYnR3hdlhA5BJxQEkg1xSvG3EQDCU2OFDkEnUhS5l60UA1djGiXEw5Q0yr3WBY0B4vVTaDyshNLoRkAUgQHiVSS5J+PEgEoFJSrHs1WrVjluP3PmTK6/Y9++fbhx4wb++uuvHGcNK5VKTJ8+HS4uLujXrx/8/Pxy/L1PnjzBunXr4O3tjRIlsu+LPH/+PADAxsYGgwcPRmBgIBQKBcqWLYthw4ahT58+6n0TEhJw7do1eHh44PDhw1i7di3Cw8NhaGgId3d3TJkyBS4uLrm2OTtubm6Qy+WQSqWoUaMGRowYgTZt2mjsc+fOHQBA3bp1M/286r3//vsvzwnsxMREzJgxA23btsXXX3+dawL78uXLOHjwINavXw8zMxoDUgoTjbsVxojIqty3tqhmYnt7eyMoKAjv3tFImuoDQyJldxrKaHQM3U6LFjoEnQhJEP/a7ZukFYUOQSeipDRqTqel0CgnGZtA43gGmtC4dtaW0pgVeNuAxvfTkMAKtO4SGqW1/5PR6Ippm0qjczpIQiNRTyWBHSGhMZBGbkTjXsiYwLUToLEGdjyRNbCD8EHoEHRCpqDx3SyoqKgoLFq0CEOGDMk18btr1y7cvXs310Q3ACgUCkyfPh01atTQSEBn5dmzZwCAcePGoXr16liyZAni4+OxadMmzJo1Cx8/fsTo0aMBAC9fvkRqairu3LmDS5cuYdiwYahRowYePHiAjRs3ok+fPvjrr79QoUKFfPwrAHZ2dhgwYABq1KgBS0tLvHjxAjt27MC4cePw008/Yfjw4ep9o6KiACDLpHzJkiUBIMt1u7OzYsUKxMTE4Jdffsl13/j4ePzyyy/o2LEjvvrqqzz/DZY98V/dGCPk83Lf+aUqD64SExPDs6z1gIkBjVN580QaN7fvTSyEDkEnTMzE/7k1EP8geABAqIRGCfFbCTZCh6ATMTT6MtEokUbn9ItHdkKHoBOpMhqJ+hQC61veAo1ykm/T4oQOQSdWK2gMenZR0qjqQeNpDIhQ0EjURxNZZ1cKGtNZY5Xif/i0M6BRDl5K5Gz7LInGPcK9M1cL9POzZs3SKMednYiICCxduhRDhw5F1apVc/2927Ztw4MHD3Do0KFck91xcen3rc7Ozti4cSMkkvTzauvWrdGmTRv4+Pigb9++KFasGOTy9FL/0dHRmDNnDnr16gUAaNOmDRwdHTFjxgysWbMGS5cuzTXGjH766adM7/Xu3RteXl5Yvnw5OnXqhFKlSgFInwUOAEZGmZeBMzY21tgnN//99x98fX3x66+/onjx3O/3/vjjD8jlckyfPj1Pv5/ljsbdCmMMwP9maKt8PlM7MTERy5YtU7/+PKHNiqYkpfg7MwFguaH2KwsURfZKGuVlShmIv527TWh0lgA0EkcfiCR2bWhcUnCKwFrCANAoicb6s/YSGh/cKKX4Bww5Smh8Zs20sAagPqgipZFsOJlKY7mG4oY0ZtQ7EnhOoSSJyKzdBKX4722fp3wQOgSdGCgpJXQIOvHahEbVnYI4duwY/vnnH2zZsgUmJjnfU82cORP29vYYO3Zsrr83LCwMy5cvx7Bhw1C5cuVc91f97e7du6uT10B6SfFWrVrBz88Pt2/fRvPmzdX7GhgYwMvLS+P3eHp64tdff8XVqwVL6quYm5tjyJAhmDVrFi5duoRvvvkGANRrcycnZx7Yk5SUlGmfjx8/auxjYmICS0tLpKSkYNq0aahbty6+/fbbXOO5desWdu7ciTlz5sDe3r5AbWP/Q+OpiTEG4H8ztFUyJrNNTEwQGhqqfv158trDw4NnZBdRSiWN5FFdGY2L/40U8ZfWBgAbmfjLFJdR0lhwjUaXEGBBpKHBRjQaWoxAJx8AyIjcI9xP+yB0CDrhLBX/uqzVUml0UVySin+mHAA8ldAYDF3WsJjQIehEIoEqEACdGdhuRJZseEdkkJtJLjMoxaApaHxmL0honIOSyfQkfJnk5GT8/vvvaNasGUqXLo2XL19qbE9MTMTLly9hbm6OoKAgXLx4EXPmzNEojf3+/Xv1/758+RIODg4wNTXFvHnzYG5ujk6dOmn8XlUe4OXLl5BKpShTpgyA9LLbjx8/znIGsuo9VRJYNQu6WLFimWZAy2Qy2NjYZEoYF4QqRlVbgf+VDleVEs9I9e+jKiUeFBSEgQMHauzj5eWFBQsWYOfOnXjy5AnWrl2rkTNRxf/mzRu8fPkSjo6OkMlkmDVrFipVqoQGDRpo/LumpqZCqVTi5cuXMDY2Vv9tljc0ng4ZY7maP38+vL291UntN2/ewMnJSX3xUiWvg4ODoVAoYGlpiU+fxFHir3S8h9AhFIiTE40Hss4JNDrhE01plHulMDf5MZFOWxmJowkkyTKXnxIjGkcTsFfQaOkd8Y8VAgB0UdAY5CYncCu0UxkpdAg6UV9Co+T0c4Vc6BB0wlxCY9AiFQ4GNCpBJBKpouSeTKPrm8IyQM+lqUKHoBNmIHAwAdRWcLWLnCQmJiI6OhqXLl1C27ZtM20PCgpC27Zt0bFjR9SuXRtA+izsrCxcuBALFy7Exo0b0bx5c0RERODdu3fo0qVLlvu3bdsW9vb2uHz5MgCgdu3auHDhAiIjM9+nq95TzTi2s7NDmTJlEB4ejoSEBPVMZyB99nN0dDQcHBzy8S+RsxcvXmj8fQCoVasWgPR/o89nTt++fRsAULNmTQCAi4sLtmzZorGPKr7w8HAolUp89913Wf5tVQ7l+PHjqFixIiIiIvDp0ye0a9cuy/3btm2L2rVrY9++ffloIaNxFWeM5UnGGdoTJ07UKCmumpGtGiWkSma/e6f/a5aEm+n3bHJ3+0ZCh6ATj4xodAzJQGNdVgql3IYkiH8UPADsMKXR+eWcSuN4GtI4nIijcTjROJFGR98+U/FfU6jobEijbGYMgfsgAEhQ0jgHcQJbXFwUNEZ/GRG553tNpOf7voH4B0+nKGlcO80kNBLYNIYTfzlTU1OsWLEiy20//PADqlSpgrFjx6JUqVKwtrbOclbvtWvXsHPnTgwYMABubm6oVq0aAGDKlCmIjY3NtP+qVavw/PlzLFu2TL1WNAB07doVPj4+2L9/P7755hvIZOn3PVFRUThz5gysra1Rp04d9f5eXl5YtWoVdu3ahWHDhqnf3717NxQKBb766qt8/VvEx8dDKpVqxASkr7P9559/wsjICB4e/5uc1qBBA5QuXRonT57E+PHj1bPC5XI59u/fj7Jly6JevXoAACsrKzRp0iTLv9ujRw/Ur18/0/snTpzAyZMn8cMPP6BChQrqGd8LFy5ESkrmPt3Zs2dDKpVixowZsLa2zlfbGSewGWPZ+LykeMbkdsZktqurq3q2dlBQEBSK9BvKhIQEJCQk6DxuikyJdJg8l9KYaX439X3uO4lAGoGytldNaHTCOxE4lgAQKaXRTiodCVQqB0RJadwjvEzT/wGVeVGeQAnxC8oYoUPQCamSxjmIQtl7AEhQ0nhOITL2C9EGNJJkn4iUhJcSued7nvpB6BAKHZW+LyMiCexEIufaLyWTydC+fftst9vZ2Wlsd3Z2zrRPfHx6OfqaNWtq7Jtdwnbnzp0ICQnJ9HednJwwduxYrFixAn379kXnzp2RkJCAXbt2ITExEbNnz9aYaT106FD4+/tj8eLFCAkJQfXq1REcHIz9+/ejVKlS+P777/P2j/D/Xr58iWHDhqFVq1ZwdnZGsWLFEBISgoMHD+Ljx4/45Zdf1ElkAJBKpfj111/x3XffoV+/fhgwYABkMhn27t2Ld+/eYf369TDIw7ILLi4ucHFxyfT+kydPAADu7u5wc3NTv9+qVassf8+iRYsglUpzPJ4se5zAZoxlKWNJ8c/Lh2d07949AMCjR4+ECJMBSCQysyEw5Y3QIeiEgkgptyoyG6FDKHRfJdNYu+pPIxrdmW5pJkKHoBPGRPoRHFJpdNrGE1gPEQAGpdEoIX5WKv7ZVb8T6bT9MU38xxIA3ImssfuGyBq7YUSeOx8oxLFUWm6qGFgIHYJOOChoXFc+GloLHUKhswWNBHatFBqf2TMGPOlJn4wZMwalS5fGtm3b8Mcff8DAwAA1atTA/Pnz0bRpU419zczMsGPHDqxevRr+/v7w8/ODtbU1evTogfHjx2uU+84Le3t7NGvWDDdv3sSJEyeQkJAAa2truLm5YfDgwWjQoEGmn2nRogU2b96MNWvWYOXKlQCAGjVqYMuWLXB3d//yfwimcxKlksi0Gaa3Jk6cqC5jXRRoO57CaF9ef6dqP9WM6qzExMTg9evXUCgUiI6O1mqcRcGNGzegNNLvdU03O3yb+04i4EtkTUQqF+U+BuKfnfzegMrRpMGOyJrJZkQS2OYKGt/P14Y0PrfJNJpJop07E58KHYJOtDItJ3QIOnEnlUZ1BEciM82ticx+bJSi3/0DefWeRo4McgmNez4Kw2iegkbCs7iExjnoA5Hl87a8+EvoEBjTazwDmzHCTExMMHHiRHUJ8KyS2KoZ1qzoIpJrIJPYpTID+waBWWQNU2nM2H1DpLQ2hU4hAPhEY8IuLIhcPCsk0/jkhhnR6IUPMRB/R98Yo0pCh6ATQUgSOgSdaCUtkftOTG+8BY0Z2CcN44QOQSfKS0xz30kEUok8XxsQKJVOpfpgFJG5hsUlxrnvxBgjjxPYjBGmWtfa29sboaGh2SaxWdGWJP7nFABAqpJGtoFKYZRHKeKr6PC55nAUOgSdCJHQ6ITvmUzjtjlaSqOdMVIaF08HIh19L4kcTwqKp9K4DzKT0hh0kULkq/lUSWPZmAQFjWuKvQGNQagOChqjFssm0+hHeGws/uNpQyTh+XUyjRnYt41ofDdZ9t6+fZvrPmZmZjA3N9dBNKyootFDxRjLkWq969DQUOzcuROdOnVCSor4Z3iolI73EDqEApnrLHQEuiGD+B/IAKCxkYPQIeiEc5r4O27fE+m0Laek0ZEQakTjgCbQaCaeGCQLHYJOBBrSSAYqQON4Xkt4JXQIhe65sa3QIeiElEjiKDzlg9Ah6EQ1IvfvpQxozNh9lkZjDWwlkSpKV4xpDLyoKhF/gqcykedOP5lc6BB0ojRoDBZi2WvWrFmu+4wbNw7ff/+9DqJhRRUnsBljAP6XxJ44cSLkcjnOnz+vXhv74sWLAABbW1tRroMdbnZR6BAKZAORNbBTiMzAfk9kHaCyEH8C+xOR9daooLI2dIVUGp181oY0ZjZQWDMZAJ4b0iiVbmMo/s5pKyLrPr5KpZEgK2FIY21oWyJrQ0coaaw/a2lA43g6E0kGGoBGO28rxZ/0bAAa15SyRMr7pxAp78+yt2XLllz3KVu2rA4iYUUZJ7AZY2qqkuL9+vUDACQmJmLZsmUAoE5mh4SEoHz58gCA4OBgKBQKJCQkwNTUVJTJbX1w35BGwtOASA1CFwWNUahbU18KHUKhG2tAozxCGJEZnjIi5f1fymg8HlBZu11GYD1EgM7gr9oye6FDKHQ05iUDUkMaLa0BM6FD0Im7ShprJlNhTWQgjZmCxj2CHY0xbngmE//Ai2vKWKFD0InWacWEDkEnbkppLEXGstekSROhQ2B6gEYPFWMsX5ycnDBx4kS8efNG/V7G9bITExMRExODkiVLAgBev36Nd+/eCRIrA4yIdPVJiXTCH06LFDoEnWhlXEboEApdNJEZu6FE1sC2NKQxuKQ8kXUCjZU0rp0RRJ72rCH+TlsA+EAgUf9eQeOaUtnAQugQdOIjaFxTXJU0EvVBoFE5wIRApSiATrUoQymNfgRLAl38JhIa9+9UvFbQqOrBGCsY8V/dGGP5ljFZ7ebmlmm72EqJ2yaeEDqEArnjPk/oEHRi4GsaD54KIrM8P0D8ZYrfEFljV0JkcAmNLnggSULjeN6X0ZiO05xIv9CfxuIvmwkAn5Tiv65UkVoJHYJOULmmRIHGgIQ0ImVQyxApa/uRwHMKAMRLaNwLvaJxa4t6aeIfbBshpXH1fG9A45piL6FR3p8xVjCcwGZM5FQzpjPKuKZ1RnlNSospeQ0A0SYdhA6hQL539BI6BJ0wknwUOgSdkBJJHlHo6KufRqOTL5HGRxbWNPpL8IHILJXuyTSSKslEZqq4GNBYEzEK4k9g10+lUbr3rDRe6BB0Ik4p/qoBAFDeQPzr0wOAGZHKX3VTaFT1kIn/cQwA8J5Iz/dHAl9PawWBRgL4SkFjYGalNBrXTsZYwRC5jDNGi4mJCSZOnAgAePPmDZycnDSS2B4eHur1q1VSUlJgaWkJ2Wfr5sjlciiVSqSk0Oh80EcuaTQesJ8T6YSPTqXRoVlaKv6HlQ0pz4QOQSe+Ma4gdAg6UZLIOoHin7uR7jloDDApQSR59EqZmPtOIpBKYN6ufar42wgA5oY0ShR7pNEorf3AgMaM3fsKGiXEw2U0BtJ0SqJx15dKpFrUCwLLOlVT0pixG5pK49p504TGPV8voQNgTM9xApsxEVKVAAfSZ2CHhoZmSmK7urqq/79qRjbTT1tTXwodgk4MkDkLHYJOyGU2QoegE1Zp4u9ISDIuJXQIOkFk8gbMFDQesIsTmOEJAC8NaHTaRklpDHKrp6SRbHhmIP4BCaEyGgMWPylpJDzXpUYIHYJOuEodhA5BJyREKkW1TqYxyM1BKf6EJwCUU4j/2gkATw3Efy+UROMUhCQDGg21UdK452OMFQwnsBkTufnz56uT2Dt37syypLiHhwcAICYmBjY26cmzO3fuwNAw/RSRkpICmUwmutLhYlHeyDb3nUTgmYTGg2f7BBoPK3MN3wgdQqEboXAUOgSdCDWkkcKubEpj1tGNZBrrzzYw/iB0CDohJbJW4O4UGoO/WieKf9buWRMaid3ioDGLzNKExr1QLJFqF0oljXu+y0Y0BvM1TaZxHqoupZGoLw7xD1qMlNC4R4gxopHYtSNS4YwxVjCcwGaMAFUSe+LEieokNc+6Fg9rifhH2gKAIZHSX7tNaHSYJKeI/+EzhcZzJ4lydQAgk6UJHYJO2CbQSHhaFKPxuTUyE/+5FgAiI8S/LAUA/GMi/gtLRYX4O+AB4KIkVugQdKJXMo316Q8b0bhHkEpo3COkEKkvFEmkRzg5tZjQIehEiKH4lyKTEVlW7gORc9Atpfg/swAwWegAGNNzRG5XGCu6Mq5XnZWsEs22trY8G1qLXn2oInQIBWJVjcapfLy9+GfsAsCRKBplpxtLnYQOodDVTKPxQHaFyOCSU4k0ql0UE/8ETwDAxg/FhQ5BJyxiaHT0jTf4KHQIOnEqTfwVEsINaCQCzQnMlAOAO8Y0OuEdQGNA8Qsipe+VRJJHHwxoDEiwIFKmuBrEv26yhMZXE5WSaTT0pjGNKhCMsYKhkfVgTItySzgDhb+mNCevtauM9WOhQyiQY9bif1ABgP+i7IQOQSfeE1nTfLCh+Nc0VyhpJHbLK2msJdwwlcaABJtiCUKHoBPtbBNz30kEijW1FjoEnTi73ULoEHTigYn4P7dfpdC4pqTKaCSwDYgMcotUiv+7CQBpShoJTyciJf5rJNFIksUSGZwp/iFuwB0i5eDrKWh8aGskc1qKMZY7iZLKIjaMMcYYY4wxxhhjjDHGGGOMMcaKNBp1VBhjjDHGGGOMMcYYY4wxxhhjjBV5nMBmjDHGGGOMMcYYY4wxxhhjjDFWJHACmzHGGGOMMcYYY4wxxhhjjDHGWJHACWzGGGOMMcYYY4wxxhhjjDHGGGNFAiewGWOMMcYYY4wxxhhjjDHGGGOMFQmcwGaMMcYYY4wxxhhjjDHGGGOMMVYkcAKbMcYYY4wxxhhjjDHGGGOMMcZYkcAJbMYYY4wxxhhjjDHGGGOMMcYYY0UCJ7AZY4wxxhhjjDHGGGOMMcYYY4wVCZzAZowxxhhjjDHGGGOMMcYYY4wxViRwApsxxhhjjDHGGGOMMcYYY4wxxliRwAlsxhhjjDHGGGOMMcYYY4wxxhhjRQInsBljjDHGGGOMMcYYY4wxxhhjjBUJnMBmjDHGGGOMMcYYY4wxxhhjjDFWJHACmzHGGGOMMcYYY4wxxhhjjDHGWJFgKHQAjDEmVh8+fEBoaCgAwMnJCdbW1sIGxBhjjDHGGGOMMUE8fvwYjx8/xvv37yGRSGBnZ4cqVaqgcuXKQofGGGOMMVbkcAKbMca07NGjR5g7dy6uX7+u8X6DBg0wbdo0uLi4CBQZY9xpwhhjjDHGGGO68vTpU+zatQsnT55ETEwMAECpVAIAJBIJAMDGxgYdOnRA3759UbFiRcFiZYwxxhgrSiRK1V0TY4yxAnvw4AH69++PxMRENGvWTP3w+fTpU1y+fBkmJibYsWMHqlWrJnCk+SOXy3H9+vUsE59ubm6wsLAQOkStkcvlePLkiUY7K1WqpNdtpNppQilZ/+bNG0RHRwMA7OzsULx4cYEjKhxU2gkAnz59gkQi0etzT07EeK7NCrdT/9uZnJyMK1euIDAwUOOaYmtriypVqqBRo0Zo3LgxjIyMhA5Vq8R8DqJyX8vtFFc7AXGfazMSyz18REQEFi1ahFOnTsHIyAj169dH3bp14ezsDGtrayiVSnz48AEvX77E7du3cfPmTSQnJ6N9+/b4+eefUapUKaGbUGBiOZZ5JeZrJ0DnHATQeu4UO2rnIcbEhhPYjDGmRUOHDsXdu3fh6+uL6tWra2y7d+8eBg0ahNq1a2Pz5s0CRZg/58+fx65du3Dp0iUoFAp8fsmQSCQwMDCAh4cH+vTpgxYtWggUacF8/PgRBw4cwPHjx/Hw4UMoFAqN7QYGBnB1dUXHjh3RvXt3vSkHT7HThEqyPi0tDadPn8bx48dx/fp1fPjwQWO7tbU1GjZsiA4dOqB169aQSqXCBFpAVNoJAP/99x+OHz+OwMBAPHnyBKmpqQAAmUyGypUro1GjRmjfvj1q1qwpcKRfTqzn2s9xO9Ppezvfv3+PTZs24eDBg/j48SOUSiUMDQ1hZWUFpVKJ2NhYpKamQiKRwMrKCj169MDQoUNhZ2cndOhfhMI5iMp9LbcznVjaKfZzrYoY7+Fr1aoFJycnDBo0CB06dMg1ySeXy3H8+HFs27YNYWFhuHPnjo4i1S4xHsvsULh2UjkHUXnufPv2Lfz9/REYGIhHjx4hOjo608DMNm3a6H3CntJ5iDGx4wQ2Y4xpUd26dTFgwABMmjQpy+1Lly7Fjh07EBQUpOPI8ufOnTuYN28e7ty5g5IlS8LDw0Mj8QkAMTExePnyJYKCgnDx4kW8efMGtWrVwvTp01GrVi1hG5BHcXFxWLt2LXbs2IGkpCQ4OzvnmOB9+fIljI2NMWDAAHz33XcwNzcXugk5otRpQiVZr1QqsXv3bvj4+ODt27cwMTFBzZo1s2znvXv3kJiYiOLFi2PMmDHo3bu3+mGtqKPSTiC9A37VqlW4f/8+lEolHB0ds2xnZGQkJBIJqlevjvHjx6N58+ZCh55nYj/XqnA7xdPODRs2YMOGDUhNTUWrVq3w1VdfoW7duihTpozGfmFhYbh9+zbOnj2LM2fOwNDQEKNHj8aIESMEijz/KJyDqNzXcjvF1U4K51pA3Pfwhw8fRteuXfN9X6pUKnHkyBF069atkCIrHGI+lp+jcO2kcg6i8tz5+PFjrFmzBmfOnEFqaipkMhlKlSql0cbXr18jJSUFhoaGaN26NcaOHat3s5QpnYcYo4IT2IwxpkXu7u6YMGEC+vbtm+X2Xbt2Yfny5bh27ZqOI8sfFxcXNGvWDEOHDkXjxo1zvSlXKpW4cuUKNm/ejCtXriA4OFhHkRZM06ZNoVAo8O2338LLywvlypXLcf+QkBD4+flh3759MDAwwOXLl3UT6Bei1GlCJVnfpUsXvHjxAu3atYOXlxcaNWqU7ejv1NRU/Pvvv/Dz84O/vz/KlSuHo0eP6jjiL0OlncOHD8elS5dQt25deHl5oUWLFihRokSW+0ZFReHs2bM4fPgwgoKC4OHhgY0bN+o44i8j9nOtCrcza/rYzoYNG2LYsGHo27dvnstiyuVy7Nq1C5s2bUJgYGAhR6gdVM5BVO5ruZ1Z09d2UjjXAnTu4SmgciypXDupnIMoPHf++uuvOHDgAIoXL45u3bqhRYsWqFGjRqblb5KTk3Hv3j2cPXsWR48exbt379CzZ0/MmjVLmMC/AJXzEGOkKBljjGnNuHHjlOPGjct2+9ixY5Xff/+9DiP6MtevXxfkZ3VtzZo1Srlcnu+f+/Tpk3LNmjWFEBH7Un5+fkqFQpHvn1MoFEo/P79CiKhwTJs2TRkREZHvn3v16pVy2rRphRBR4aDSzkGDBilv376d758LCgpSDho0SPsBFRIq51puZ870qZ2fPn0S5Gd1jco5iMp9LbezcH9W1yica5VKOvfwFFA5llSunVTOQRSeO9u1a6c8duxYvr6fCoVC+ffffyvbtWtXiJFpH5XzEGOU8AxsxhjTooiICPTv3x9ff/01Ro0apV435u3bt1i/fj3Onj2L7du3w9HRUeBIGWOMMcYYY4wxxhhjYqVQKGBgYKDzn2WMMW3gBDZjjGlRq1atkJCQgJiYGABAsWLFAACxsbEAABsbG5iammr8jEQiQUBAgG4DZYwxxhhjjDHGmM7FxsbCy8sLS5YsQd26dYUOhzHGGGOsSDIUOgDGGBMTnlnN9AV3mjDGGGP5l5qaiqCgILi4uMDS0lLocBhjjOmhtLQ0hIeHIzExUehQGGOMMcaKLK4BwRhjWrR9+/Yv+k+fxMTEwNXVFf/++6/QoRQquVyOgQMH4sGDB0KHUigodZrExsaiVatWCAoKEjqUQhUfHw9vb288e/ZM6FAKFZV2JiYmYvXq1Xj16pXQoRQqsZ9rVbid4vHp0ycMHDgQ9+7dEzqUQkXlHETlvpbbKS4UzrUAnXt4CqgcSyrXTirnIArPncnJyfDz88O7d++EDqXQUTkPMSY2nMBmjDGWbxRWn0hJScG1a9fw8eNHoUNhBUQlWZ+UlAQ/Pz+8efNG6FAKFZV2JiQkYM2aNQgLCxM6lEJF5VzL7RQXCvdBVM5BAI3jCXA7xYTKuZbKPTwFVI4llWsnlXMQhefOuLg4eHt748mTJ0KHUuionIcYExtOYDPGGGOMiQSFTluA28kYY7rA5yDGGCtcEolE6BCYlvG1U1woHE8KbWSM6S9eA5sxxrTIxcUl14dQiUQi+lJLTH9wpwljjDHGGGOMFZ6vv/5a47lLlTCaPHkyjI2N1e9LJBIEBAToPD7GGGOMsaKIE9iMMaZFnp6emRKCqampCAsLw507d1C1alW4uroKFJ12UUl8iqWd3GkinmPJmBhR+X5yO/XP9evXNV5/+vQJAPDo0SMYGmo+Tjdo0EBncTHtEtNnNifcTnHhduoPd3d3jXYkJycjIiICVatWhYODg4CR6ZYYjiX7Hz6eTB/x55Yx/SJRcp0IxhjTiRs3bmDMmDHYuHEjateuLXQ4eZbVrHKlUpnpPX2fWT5w4ECN16mpqbh16xZcXFxQrFgx9fsSiQS+vr66Dq/Apk6dmqnT5NixY2jatGmmTpP58+frOjytyipZHxERAXt7e1El6729vTVeq45ps2bNULx4cfX7EokE8+bN03V4WkOlnatXr9Z4nZiYiD///BOenp4oU6aM+n2JRIKxY8fqOjytEfu5VoXbKZ525uU+SPU6ODhY1+FpDZVzEJX7Wm6nuNpJ4VwL0LmHB4Do6Gg0adIEW7ZsQePGjYUOR+uoHEsq104q5yAKz51+fn4ar+Pi4vDbb79h+PDhqFSpksY2T09P3QVWCKichxgTO56BzRhjOuLm5gYvLy8sWbIE27dvFzqcPBs7dqzGTV98fDw2b96Mrl27omzZsgJGpl2fj+dSvVYqlRrb9HXc14IFCzReR0dH49ixYxg+fLjoOk2ozHAIDAzUeK36bD58+BDPnz9Xv6/vI4yptPPzDjCVzzsZ9L0DTOznWhVup3jauW3bNo3XsbGxGDduHH7++WdUr15doKi0j8o5iMp9LbdTXO2kcK4F6NzDA/p/35obKseSyrWTyjmIwnPn1KlTs3z/zz//1HgtkUj0PoFN5TzEmOgpGWOM6czevXuVderUETqMAomOjlZWrVpVeeXKFaFDKVTv378XdTupHEelUvzHUoXbKS7cTnHhdooHlesnhWOpVNI5ntxOcaHy/RRzO6l8VlXEfCwz4naKixjb+erVK43/7t+/r6xatary6NGjmbaJjRiPJ2MU8AxsxhjToXv37kEmkwkdBssDfR5VyzRROZbcTnHhdooLt5PpGz6WjBVdVL6fVNpJAZVjye0UFzG2s3Tp0hqvzczMAAB2dnaZtomNGI8nYxRwApsxxrTo+vXrWb7/8eNHXLlyBQcOHECHDh10HBVjjDHGGGOMMcaKAmNjY3h5eXEZW8YYY4yxHHACmzHGtGjAgAFZjupT/v/aOc2aNcP06dN1HRZjmXCnCWOMMcYYY4zpnpmZGebPny90GIwxxhhjRRonsBljTIuyegiVSCSwsrJCuXLlUL58eQGi0i5TU1OMGzcOZcuWFTqUQiWTydCgQQNYWVkJHUqhoNRpQiVZL5VK4ejoCBMTE6FDKVRU2kmF2M+1KtxO8bC0tMS2bdvg6uoqdChMC6jc13I7xYXCuRagcw9PAR9LcaFyDuLnTnHh8xBj+kmiVE0LZIwxxhhjjDHGGGOMMcYYY6KmVCoRERGB4sWLw8jISOhwGGMsEwOhA2CMMTGLjY1FbGys0GEwxhhjjDHGGGNMR2bNmoW3b9/m++eioqLw66+/FkJEjDGmSSKRoHTp0py8ZowVWZzAZowxLYuOjsYvv/yChg0bavw3c+ZMREdHCx0eI4Q7TRhjjLH8i4+PF+RnGWOMicfVq1fRpk0bzJgxAzdv3sxxX6VSiatXr2Lq1Klo27Ytrl+/rqMoGWOMMcaKLk5gM8aYFr19+xY9e/bE/v37YWVlhZYtW6Jly5awsrLCvn370LNnT7x7907oMHM1YsQIBAcH5/vn7t27h+HDhxdCRIVj48aNSEpKyvfPJSYmYsOGDYUQkXZR6jShkqw/fvy4ID+ra1TaeefOHUF+VtfEfq5V4XbmTJ/a2bp1a/j6+iIxMTHPPxMfH4/NmzejdevWhRiZdlE5B1G5r+V25kzf2knhXAuI+x7+77//xoQJE/DPP/+gf//+aNCgAYYNG4bZs2djxYoVWL58OWbNmoUhQ4bAzc0NQ4YMwYULFzBx4kQcOXJE6PDzTczHMiMq104q5yAKz52RkZGC/KwQqJyHGKOE18BmjDEtmjlzJg4cOIB58+bB09NTY9vhw4cxbdo09OzZE7NnzxYmwDwaNGgQrl+/Dnd3d3Tv3h0tWrSAlZVVlvtGR0fj7Nmz8PPzw40bN9CoUSNs2bJFxxF/mUaNGkEmk6Fv377w9PREqVKlctw/LCwMfn5+2Lt3L9LS0vDvv//qKNIvk5qaih07dmDDhg2IiYmBhYUFatWqBScnJ1hbW0OpVOLDhw94+fIl7t69i/j4eNjY2GDkyJHo378/DA0NhW5CnrVv3x6vX79G586d4eXlhfr162e7r1KpRGBgIPz8/HDixAmULl1abx4+a9asiUqVKmHIkCFo27YtTExMctw/Pj4eJ0+ehK+vL0JCQnD37l0dRVowVNrp4uKCVq1aYejQoTl+ZjMKDAzEli1bcP78+S/qwBeC2M+1KtzOrOljO1evXo1NmzbBwMAAHTp0QIsWLVC7dm04ODho7BcVFYVbt27h3Llz8Pf3BwAMHz4cY8eOFSLsfKNyDqJyX8vtzEyf20nhXAvQuIdPTk7G8ePHceLECdy8eRNyuVxju4WFBdzc3NChQwd06NBBb0v5UjiWAJ1rJ5VzEIXnzpo1a6JPnz4YPHgwHB0d8/QzYWFh2LJlCw4cOKAXbVShch5ijBJOYDPGmBa1aNECLVu2xKxZs7Lc/uuvv+LcuXM4f/68bgP7AqdPn8bq1avx6NEjSCQSODk5wdnZOVPiMywsDEqlElWqVMH48eP1auZRbGwsVq5ciT179kChUKBSpUqoU6dOlgneoKAgPH/+HFKpFH369MH333+PYsWKCd2EPKHQaUIlWf/y5UssWLAAZ8+ehbm5Odzd3TU+swAQExOj/sxev34dCQkJ+PrrrzF16lQ4OTkJ24A8otLO69evY968eXj48CHKli2rTpI5OTnBxsZG/bl98eIFgoKCcP78eURGRsLFxQXTp0+Hm5ub0E3IEyrnWm6nuNoZFRWFjRs3ws/PD3FxcQAAY2NjdRs/fvyIpKQkKJVKWFhYwNPTEyNGjECJEiUEjjzvqJyDABr3tQC3U0ztpHKupXIPr6JQKBAZGaleWszW1halSpWCgYH+F8ikciypXDupnIMoPHf6+fnhjz/+wLt37+Du7o6vvvoKtWvXhrOzs3oAWMbP7Llz53Dz5k0UL14ckyZNyjQ5pyijch5ijBJOYDPGmBbVqFEDM2bMQO/evbPcvmfPHvz++++4d++ejiP7cjdu3MDx48dx7do1PH/+HAqFAgBgYGCAihUrwt3dHR06dNCbB7GsvHv3Dnv37sXJkyfx5MmTLPepXLkyOnTogG+//Rb29vY6jlB7xNxpAtBI1gPA/fv3sXPnTvj7+0Mul0MikWhsVyVU2rVrh379+qFatWoCRVowFNqpVCpx+vRp7Ny5E4GBgZnaqNoHSJ8J0a9fP7Ru3TrL/Yo6Kudabuf/iKGd8fHxuHDhAq5du4YnT54gJiYGAGBjY4MqVarA3d0dHh4eMDMzEzjSL0PpHATQuK8FuJ1iaieVcy2Ve3gKKBxLStdOKucgsT93JiQkYM+ePdizZw9evnyZ7WdRqVTC2dkZffr0Qa9evWBqaqrjSLWDwnmIMSo4gc0YY1rUvHlztGrVKtu1U+bMmYOAgABcuHBBx5Fph1Kp1Oi41ccHsNxER0fj6dOnGgneSpUqwdbWVuDIWH6JPVkPpLfx/v37mT6zlStXRrVq1UTTVirtjI6OxrVr17JsZ4MGDUR1HqJyruV2iqudYkfpHATQuK8FuJ1iQuVcS+EengoKx5LStZPCOYjCc+e9e/cQGBiYZRvd3d1Ro0YNgSPULgrnIcbEjBPYjDGmRdOnT8fhw4exaNEidOzYUWObv78/Jk2aBC8vL/z2228CRcgYY4wxxhhjjLHCtHr16nz/jEQiwdixYwshGsYYY4wx/cMJbMYY06KoqCj06NED79+/R/ny5VG5cmUAwNOnT/H8+XPY29vjwIEDerU+IqPj8ePHePDggV6tccQYY4zpklwux+3bt/Hx40fY2dmhbt26MDY2FjosVgBJSUmIjY2FlZWVqEpIpqamIjExERYWFllul8vlMDEx4fUeGSskLi4umd5TVQb4vCtWIpFAqVRCIpEgODhYJ/Expg3JycmiunYyxhgrWjiBzRhjWhYVFYWlS5fizJkziIuLAwCYm5ujdevWmDRpkiiT1zdu3MDVq1cxbtw4oUPRivfv3+PevXv48OFDps4FAKJN8Pr4+GDlypUkOk2oJOvlcjliY2Ph6OgodChaFx4ejl69emHu3Llo0aKF0OGwfHj//j0sLS2z7exKTExEdHS0KD+3GUVGRuLVq1do0KCB0KF8sZSUFCQlJWkkyORyOQICAvDx40fUrVsXtWrVEjDCL3f58mVERkaiZ8+e6vc2bNgAHx8fJCYmqt+ztrbG9OnT0blzZyHC1KqoqCjcuXMHERER6sRnxYoVUa9ePb1P0kdERODjx49wdXVVv3fjxg0sXboUd+/ehUKhgFQqRdOmTfHzzz+jYsWKAkarHb///jsuXryIU6dOZbm9Xbt2+PrrrzFlyhQdR6Y9z549w6NHj2Bvb4/69etDKpVm2icsLAw3b97U+3s+KtfO3GYtSyQSmJiYwNHREQ0bNizSpYvDw8M1XicmJuLnn3+GQqHA0KFD1YPdHz9+jM2bN8PQ0BALFy4Uxfnn06dPCAkJgZ2dHUqXLp3lPtHR0Xj27Jle3wdlJyoqCj/88AMmTZoEd3d3ocMpNKGhoWjXrh1WrFiBtm3bCh1OoQgLC8P79+9hb2+PMmXKCB0O+0L37t3DnTt38PHjRygUCo1tXPmCsaKNh9oyxpiWpKWlISoqCmZmZli0aBGUSqXGGitiXIdN5fr161izZo3eJ7AVCgV+//137Nu3D2lpadnup+8dYAw4c+YMVq5cKfpjuX37dtEOSkhLS8O7d++QnJwsdCg64+Pjg1WrVuHBgwdCh/JFjh8/jnnz5uH9+/eQyWTo3Lkzpk6dimLFimns5+/vjylTpojyc5uRn5+fXn8/V65cic2bNyMpKQlubm5YsWIF4uLi0KdPH7x//149k6xXr16YNWuW0OHm27p161CuXDl1AnvPnj34448/YGlpiW7duqF48eKIjIzEmTNn8PPPP8POzg6NGzcWOOov8+LFC/z222/4999/NQbuqY6hpaUlhgwZglGjRunteoG//fYbZDIZVq5cCQC4du0ahg4ditTUVDg6OqqP5/nz53H79m3s27cPzs7OAkddMJcvX0abNm2y3d6uXTucOXNGbxPYc+bMwe7du9WvnZ2dsXjxYtSsWVNjv6CgIHh7e+vtPR+1a+fq1atznKWc8X2ZTIZRo0YV2WfQzxO3CxYsgFKpxN69ezUGIri4uKBdu3bo3bs3Dhw4oLffSZVNmzZhxYoVSElJAQC4u7tj3rx5mf49Ll26JIrPbFaSkpLU1Vr0WVRUVI7b3759C6VSiY8fP6r31ccJG+fPn4erqyscHBzU7928eRMzZ87E8+fP1e9VrVoVc+fORfXq1YUIU2d27tyJzZs348yZM0KHUmBJSUkYP348Lly4oL6vVV1DMla+4AQ2Y0UXJ7AZY0xLUlNT0apVK0yaNAkjRoyARCKBnZ2d0GGxfNi6dSt27dqFzp07o1mzZpg6dSp+/PFHmJubw9fXF1ZWVpg4caLQYebL0aNH87zvw4cPCzESxvKnRo0aue4jkUgwYcIEdYfmvXv3Cjsswelr8aTg4GD8+OOPkEqlcHV1xdu3b3Hw4EHcuHEDmzZtQtmyZYUOkeVDQEAA1q5di6pVq6JEiRK4ePEi5syZg6SkJNSsWROenp5ITEzErl27sHfvXjRu3Bjt2rUTOux8efLkCVq3bq1+vWnTJlSoUAG7du2CtbW1+v2oqCh8++23WL9+vV4msF++fIlevXohKSkJjRs3hqmpqXqGysiRI5GQkIALFy5gxYoVePDgAVatWiV0yF/k/v37GDBggPr1H3/8ARMTE6xatUrjuAUEBGDSpElYuXIlli5dKkSoWhMZGQknJ6dst5ctWxaRkZE6jEh7AgICsGvXLjg7O6Nly5Z4/fo1AgIC0L9/fyxfvhwtW7YUOkStoHjtPHbsGKZOnQoAGDx4sHo28tOnT7F161ZIpVJMnz4d4eHh2LRpE9asWYMyZcroxQCF48ePY8iQIVnOojc2NkbXrl2xZcsWvU5gBwYGYvHixbCyskKLFi0QFRWFwMBA9OjRAxs2bNDbqiyfy+2eRpW8nzNnDpYsWQIA2VbDKMq++uqrXPeRSCSYOXOm+v/r40Db0aNHY9GiRejSpQuA9H6RoUOHQqFQoEOHDihTpgxCQkLwzz//YPDgwfDz88u2soAYxMbGIiIiQugwtGLt2rW4cOECRo0ahSZNmmDgwIFYsGABbGxssGHDBqSkpGDhwoVCh8kYywEnsBljTEuMjY1hZWUFc3NzoUPRinXr1uV53+vXrxdiJLpz6NAhNG3aFEuWLEFMTAyA9CRa48aN0bVrV3Tt2hUPHz7Uqw7qn376Kc+z/1WjT/UVlWR9biPhM5LL5YUYSeFKTU2Fubk5qlWrluX2pKQk3L17F+XLl4eNjY2Oo2P55ePjA0tLS+zcuROVK1eGUqnEjh07sGjRIgwcOBDbtm0TRUf8rVu38ryvviaOAGDHjh2oWbMm9u7dCwMDA6xevRrr1q2Du7s7Nm/erN6vY8eO6NChAw4cOKB3Cey4uDhYWloCSC/7GhYWhrlz52okr4H0mUZ9+vTBhg0bBIiy4JYvXw6ZTIYDBw6ov4OJiYkYP348bt68iS1btuCnn37Ctm3bMG/ePOzfvx/ffPONwFHnX0xMjHpgaUpKCu7evYsff/wx0z1d69at0a9fP/j5+QkQpXZJpVK8f/8+2+2qSgn6aNu2bShXrhz8/PxgYmICIH2Qwrhx4/DDDz9g1apVolhehMq1M6ODBw9CqVRi9+7dkMlk6vddXFzQtm1b9O3bF/7+/pg8eTJatWoFT09P7N69Wy8S2B8+fFAnNrOSkpKCDx8+6C6gQrBp0yY4ODjg4MGDsLe3BwD8888/mDJlCoYPH47NmzfnaZBqUffy5UuYmppm+wyiquaWlpaW4zEv6pRKJczNzdGqVassl2iIi4uDv78/3N3d9Tqh+/m1cOXKlZBKpdi3bx+qVq2qfv/GjRsYPHgwNm7cqJfVhSg6efIk2rRpgwkTJqj7+EqUKIHGjRujSZMm6N69Ow4fPowJEyYIGyhjLFucwGaMMS1q3Lgxrl69ir59+wodSoEtX75co7xObvQ58akSGhqqLhWqKpGpevi0sLBA9+7dsX//fgwZMkSwGPPLxMQEVatWRe/evXPd9+zZszh9+rQOoiocVJL1LVq00NvY82PIkCHYtm0brK2t8csvv2iUdAPSO47atWuH8ePH6/Waa/npxNPXRAOQnljo3bu3er1HiUSCAQMGoEqVKvjuu+8waNAg7NixQ+/X7uzbty+J89CzZ88wZMgQ9bWyQ4cOWL16NTp16qSxn0wmQ5cuXbBv3z4hwiyQEiVKIDQ0FEB6ItDAwACmpqZZ7mtmZqa338+rV6+if//+GkkwExMTjBs3Dr169cKrV69QpkwZDBw4EP/++y8OHDiglwlsKysr9dI+aWlpUCgU2ZYId3Jy0usBYCpVqlTB6dOnsyz9rlAo4O/vrz4n65vnz59j8ODB6uQ1AFSvXh179+7F4MGDMX78eKxduxZNmzYVMMqCo3LtzOjvv//GkCFDNJLXKkZGRujcuTO2bNmCyZMnw8jICB07dtQYOFWUlS9fHgcPHkS/fv0yDXqXy+X466+/UL58eYGi047Hjx+jV69e6uQ1AHz99dfYvXs3Bg8ejGHDhsHX1xcuLi4CRllwbdu2xZkzZ9C2bVtMmDBB41wE/O85ZdasWXr9nPLLL79g6dKlCAkJwW+//ZbpuL18+RL+/v7o37+/Xrfzc//++y8GDBigkbwGADc3N3Tp0gWXL18WKLIvl5+BpPpe+j6jiIgIDBw4EMD/+vhUg0oyPqdwApuxoosT2IwxpkU//fQT+vXrh2XLlmH48OHqmTv6yNzcHNWrV8/TmmKHDx/GwYMHdRBV4ZLJZDA2NgYAdSe1apQmkN6ZHR4eLkhsX6pq1apISkqCl5dXrvu+fv1arxPYVJL1UqkUZcqUQb169XLd99GjR3q7rtyUKVPQoUMHzJgxA506dcKkSZPQp08f9XZ9Tfx9Li0tDXZ2dnnqsIyIiNDbcm5v377NMlnUsGFDbNy4ESNGjMCgQYOwfft2AaLTHkNDQ1SsWDHHdWdVrl+/jmvXrukgKu378OGDxkxk1QykkiVLZtrX0dFRLzvCvvrqKxw6dAjDhw+HhYUF3N3d4efnh44dO2rsl5qair///huVKlUSKNKCkcvlsLW1zfS+ra0tlEolXr9+jTJlygAAPDw81KVQ9U29evVw8uRJDB8+HCYmJqhYsSKuXr2qUSZeJTAwUBQJwW+++QbTpk3DxIkTMXXqVJQqVQpAevWHhQsXIjg4GHPmzBE4yi8TFxeX5cxHBwcHbNu2Df3798fYsWPzVVGqKKJy7cwoOjo6xxmrycnJmZ7PVAOOi7oRI0Zg8uTJ6Nq1K/r3748KFSoASB8UtmPHDkRGRmLx4sUCR1kwMTEx6nNNRpUqVcK2bdswcOBADBkyBL6+vgJEpz0rV67E6dOnMWfOHJw+fRq//vormjdvrt4ulueUfv36oWXLlpg5cyZ69uyJwYMH4/vvv1f3mYilnRnJ5XIkJCRkO8i4Ro0aOHbsmI6jKriXL1/CzMwsUyWhrCgUisIPSEfMzMzU/9/c3BwGBgbqAY0AYG1tjTdv3ggRGmMsjziBzRhjWjRgwAAkJiZiw4YN2LBhA2xtbTONxpVIJAgICBAowrxzdXXF+/fv4e7unuu+N2/e1EFEha9UqVJ49eoVgPQR/qVLl8aNGzfUayHduXNH70oVu7i44K+//kJycnKW662JCZVkffny5WFlZYX58+fnuq+Pj4/eJrABoFatWjh48CDWrVuHefPm4ejRo/jtt9/U6yGKgZOTE0qVKoWtW7fmuq+Pjw9WrlxZ+EEVAnt7+2xL2davXx/r16/HyJEjMWjQIL2c3alSuXJlGBoa5mnwl4+Pj94msIsVK6aRlFZ1YH4+yxNI7wjM2HmkL0aPHo0TJ06gX79++OGHHzB+/HiMGzcO/fr1g6enJxwcHBAZGYl9+/YhODgYixYtEjrkL+Lo6Ih///1XY4AQkD77SCKRqMtuA8hXZZ6iZtSoUfj222/h7e2NKVOm4KeffsK4cePUFXaKFy+OyMhI7Nq1C6dOncrTd7io6969OwIDA3H48GH4+/ujWLFiANLXtlQqlejSpYvenm8zVkj4nL29PXx9fTFw4EB899136vt4fUTl2plR+fLl4efnh/79+2eqehEfHw8/Pz+NpP6rV6+yHIRTFHXu3BmfPn3C4sWLsXDhQvW1U6lUwtTUFDNmzEDnzp0FjrJgVNfGrFSoUAFbt27FwIEDMXjwYL3/zLZp0waNGjXCvHnzMHLkSHTq1AnTp0/Xm89jXjk6OuLPP/+En58f5s+fj1OnTmHOnDl6taxaXqi+j6amppDJZNkmcZVKZZbl1Is6R0dHVKxYERs3bsx137Vr12LVqlU6iKrwlS5dWn2/YGhoiHLlyuH8+fPqZScuXbqE4sWLCxghYyw3nMBmjDEtEsNsDRUXFxfs3r0bCQkJ2ZbMzEhfOzQzcnNzw7lz5zB58mQA6Wt3btq0CcnJyVAoFDh69Ci+/fZbgaPMn3bt2iE5ORkfPnzIVIL5c19//XWWs+f0BZVkfbVq1fRiEIy2qJKB7dq1w/Tp0+Hp6YkRI0ZkmgWpr6pVq4YrV64IHUahq1SpEgIDAzFy5Mgstzdo0AA+Pj4YPXo0li9frtvgtKhatWr4+++/kZaWppedW3nl5OSEkJAQ9WsbGxs8fPgwy31fvnyJEiVK6Co0rbG3t8eWLVvwww8/YOzYser3Y2Ji1GudK5VKGBoaYvz48XqbJGvXrp16Lcfu3bvDxMQEV69excqVK1GuXDmN6hDPnz/X23vd6tWrY+HChZg+fTqOHj2KChUqwNzcHOvXr8f69evV+ymVSjRt2hQjRowQMFrtWbhwIVq2bIkjR47g5cuXANLvd7t27ap369JnVKNGDZw/fx4TJ07McnuJEiXg6+uLAQMGYP/+/TqOTnuoXDszGjp0KKZOnQpPT0/06dNHfQ4KCQnBrl27EBYWpjGI89SpU6hZs6ZQ4eZbnz590KVLF1y6dEmdVHFyckKzZs1gYWEhcHQF5+LigkuXLmlcNzOqVKmSOom9YcMGHUenfZaWlpg/fz46d+6MmTNnokOHDvj555/h5uYmdGha5+npCQ8PD8yePRtDhw5F165dRbF0noqPj496yRupVIpnz55luZ8+DZrJyNXVFXfu3MnTvmKaWd+wYUP4+/vD29sbQPrn+I8//sC7d++gVCpx8+ZN0dzzMSZWnMBmjDEtElP5tq5du8La2jpPCexu3bqhfv36Ooqs8KjWOUpMTISJiQnGjh2L58+fw8/PD0B66cxJkyYJG2Q+NWnSBE2aNMnTvlWrVs20zpM+oZKsr1+/Pm7cuIHw8HCULl06x31dXFzUo4v1XeXKlbF37174+vpixYoV2Ldvnygerl1dXXHixAmEhYVprEGbFUdHR73tEPPw8MD8+fNzbGejRo3UHfH6Ug70cx4eHggNDcWbN2+yLKGZUYMGDbLt4C3q3N3d89QJlpKSAn9//yzLNOuDKlWq4MiRIzhx4gTOnz+P58+fIy4uDsbGxihVqhRq166Nrl275vrdLcq+++47XL58GXv27MHevXsB/G824O+//66xb3BwML7++mshwtSKzp07o0aNGvjzzz9x/vx5jSoCpqamqFWrFry8vNCtWzdRXF9U2rdvj/bt2wsdhlY1b94cf//9N65du5ZttaiSJUti27ZtGDBggN4tAaRC5dqZkaenJ+Li4rBkyRIsWLAg0yzladOmqe9tk5OT8euvv6qXOdAXFhYWovtOqjRv3hy//PILgoOD4erqmuU+VapUwdatWzFo0CDExsbqOMLC0bRpU/z9999YunQpfvnlF1SqVElU1xEVOzs7jfLp/v7+omino6MjEhIS1NX4bG1tcffu3Sz3vXjxYraf7aLM1dUVZ86cQVRUVK4DSy0tLXN9jtEXQ4YMQZMmTdSTHIYPH453797h8OHDMDAwQO/evUVRdYcxMZMoxTBljjHGGCtEcrkcEokE5ubmQofCGAMQFhaGefPmITIyElOmTBFdCTsxio2NxZ07d1CxYsVcZ3Deu3cPT548ydNyAKxoi42NxbVr11C1alW9TvKKXVJSEvbs2YPAwEAkJyejcuXK6Nu3r+iPmVwuVw9IyMuakKxoSU5OhlQqzbXaRVxcHD58+JDroL+iiPK189OnT7h06RLCwsIAAGXLlkWzZs1gaWkpcGQsJ8nJyeoZqrmdVyMjIxEWFpanJcv0ya1btzBr1ixERkZi0aJFaNmypdAhFYpPnz5hxYoViIyMxMiRI1G7dm2hQyp0Hz58wOHDh1GzZk3Uq1dP6HDyJT4+HjExMShevLioq9UxxsSHE9iMMcYY0ju3fv/9d3h4eIimNPHnWrVqhWnTpqFVq1ZZbj979ix+//13nDlzRseRFZxqnUNVItPPzw9ubm56NyODMcYYY6ygPn36hJCQENjZ2WWbuI2OjsazZ8/QoEEDHUfHWNbkcjnGjBmj1+uz5+bu3bvYtm0bXrx4gQ8fPmRahksikZBaKogxxhhjLCcGQgfAGGNi4uLiAldX1xz/q1u3Ljp16oQFCxbg3bt3QoecJ6dOncpxu0KhwB9//KGjaAqHubk5jh07hri4OKFDKTTh4eGIj4/PdntCQgIiIiJ0GJH2XLt2TeP75O3tjaCgIAEjYtqkmn2Tk4sXL+ogElaYrl+/jtOnT0MulwsdSqESWzuPHj2a6z4zZ87UQSSFLy0tDU+fPsWNGzdw/fr1TP/pu7yUcs1urXN98vXXX2PVqlV5urboo02bNqFp06bo1asXWrdujUGDBmVZQvvSpUsYOHCgABEyljULC4tsy/aKwdGjR9GrVy+cPHkSSUlJKFWqFBwdHTX+E0vZXkqoXDup4ONJi1wu19s+MMao4DWwGWNMizw9PfHw4UM8fPgQ5cuXR4UKFQAAz549w4sXL+Dq6oqyZcvi+fPn2Lp1K44dO4b9+/cX+bV4f/jhB/Tv3x9TpkyBTCbT2BYVFYWJEyciKChI79aH/ly5cuUQFRUldBiCeffuHUxMTIQO44sUL15cvWYVgEyzGcRq1apVOHXqFP7+++9M25RKJbp27YoOHTpgzJgxAkSnPd27d8fcuXPRtm3bTNtUA2g2b96MBw8eCBCddiUlJWHLli3w9/dHaGgoAMDJyQnt2rXD4MGDYWxsLHCEBbd+/XoEBgZi8+bN6vfGjRunrv5QsmRJ7NmzJ9f12Yo6Ku2cPn06SpYsme0szrlz52L//v2YM2eOjiPTrk2bNmH9+vX49OlTtvsEBwfrMCLt8/T0xLJly7ItA7p7924sWLAgT+ufF2WGhoZYs2YN1q5dCzc3N3Tv3h3t27eHqamp0KEVWGBgIBYvXgwrKyu0aNECUVFRCAwMRI8ePbBhwwbUqlVL6BALhRhnta5evTrfPyORSDB27NhCiEZ3KleuLNrBJT4+PnBycoKvr2+Rf/7XltjYWBw4cAB37tzBx48foVAoNLZLJBL4+voKFJ12iPXa+SUDnPh4ioNcLkdsbGyuS1eIwfbt27Fy5Uq9v4dnTMw4gc0YY1rUs2dPjBw5EqtXr0br1q01tp0+fRpTpkzBjBkzUL9+fZw+fRoTJkzAqlWrMHfuXIEizpsePXpgx44duHXrFlasWKFeE/HcuXOYOnUq4uPjMWPGDIGjLLi+ffti7dq16Nu3L2xtbYUORyuuX7+OwMBA9evTp0/j5cuXmfb7+PEjjh8/DldXV12GpzWNGzeGj48P7t27h2LFigEA9u3bhytXrmT7MxKJBPPmzdNViIXi9OnT2a7/LJFI0KRJE/j7++t9ArtkyZL44Ycf0LdvX0ydOlU9kOb169fqATTt2rUTOMqCk8vlGDhwIB48eABTU1M4OTkBAF68eIFly5bh1KlT2LZtGywsLASOtGBOnTql0Sl05coVBAQEoEuXLqhatSrWrFmDTZs2Ydq0aQJGWXBU2tmgQQOMHTsWu3fvRsWKFTW2LVu2DNu3b8eIESMEik47Dh48iMWLF8PNzQ0eHh5YtmwZBg8eDKlUigMHDsDZ2Rl9+vQROswCS0lJQb9+/TBp0iQMHTpU/X5cXBxmzJiBEydOoE6dOsIFqCX+/v64ceMGDh06hFOnTsHb2xu//fYb2rVrhx49esDNzU3oEL/Ypk2b4ODggIMHD8Le3h4A8M8//2DKlCkYPnw4Nm/ejBo1aggcpXYdPXoUP//8M6RSKcqXLy+aGaxUE9gjRozAjBkz0K1bt0zXFH0XFhaGyZMnk0leR0ZGok+fPnj9+jUsLS0hl8thZWWF2NhYKBQK2NjYiGLgkFivnRkHh6skJCQgJiYGANTr0asG9tnY2MDMzEx3ARYSsR7P/OCkLmOsKOEENmOMadHy5cvRs2fPTMlrAGjTpg2uXbuGZcuWYceOHWjTpg26du2KS5cuCRBp/sydOxcNGzbErFmz4OXlhV9//RUPHjzAli1b4OzsjC1btuht4jMjExMT2NnZoUOHDvDy8oKzs3OWD9Wenp66D+4LBQYGqjvAJBIJ/P394e/vn+W+zs7O8Pb21mV4WuPt7Q2JRIIrV67g3bt3kEgkuZZ0FUMC+9WrV+jbt2+228uXL4+//vpLhxEVjgMHDmDOnDnYuXMngoKCsHz5cjx79gze3t6Ij4/HzJkzc/x30Bdr1qzBgwcP8P3332PYsGHqighJSUnYtGkTVq5cibVr1+Lnn38WONKCiYiIgJeXl/p1QEAA7O3tsXDhQhgYGODdu3c4e/as3id2qbRz5cqV6Nu3L0aMGIF9+/apk2br1q3D+vXr0b9/f/z4448CR1kwu3btQs2aNbFjxw7ExMRg2bJlaNGiBRo3boyBAweiW7duQoeoFYcPH8ZPP/2ERYsW4dq1a1iwYAEiIiIwYcIEhIWFYdiwYXpfbUfFzc0Nbm5u+OWXX3Dq1Cn4+fnh8OHD8PPzQ5kyZeDp6amXicDHjx+jV69e6u8hkF4yfffu3Rg8eDCGDRsGX19fuLi4CBildol1VquqWgc1jx8/RunSpdGtWze0bNkSzs7OmSpE6Wuivnjx4mSqRAHAihUr8OHDB2zZsgVVq1ZFkyZNsGzZMtSpUwdr1qzByZMnsXPnTqHDLDCxXjv/+ecfjdfh4eEYMGAA2rZtizFjxqgrCEVFRWHt2rW4ePEitm/fLkSoWiXW40lJfqoqimVJJ8bEjBPYjDGmRffv30fnzp2z3V6xYkUcOHBA/bpGjRp5WjuyKOjatStq1KiB8ePHq5MnnTp1wpw5c2Bubi5wdNoxdepU9f/funVrlvtIJBK9SmAPGjQIXl5eUCqVaN26NaZNm4ZWrVpp7CORSGBmZgZra2thgtQCGxsbLFy4UP3axcUFixcvRpcuXQSMqvAplcocH7rkcjlSU1N1GFHhMDY21hhI061bNyQmJopqAA2QPqO+c+fOmTpljY2NMWbMGDx79gynTp3S+wR2fHy8xgyNmzdvonHjxjAwMAAAVKpUCXv37hUqPK2h0k5zc3Ns2LABvXr1wsiRI7Fjxw7s378fy5cvR48ePURRoeXZs2f4/vvvAaRfMwGoy6CWKFECvXr1wrZt2zQGLOgjW1tb/Pnnn/Dx8cGaNWvQuXNnxMbGwszMDOvWrUOLFi2EDlHrTExM0K1bN3Tr1g2vX7+Gn58f/vzzT6xevVovE2QxMTFZzkCuVKkStm3bhoEDB2LIkCF6X+I1I7HOai1durTQIQgi48zz06dPZ7mPviawu3XrhlOnTmHw4MFCh6ITV65cQc+ePdG4cWP1rF0AMDU1xeTJk/HkyRMsXboUixYtEjDKgqNy7Vy4cCFcXV0xe/ZsjfdLlCiB2bNnY+zYsVi4cCFWrFghUITaIdbjSSmp26JFC/X9OmNM/3ECmzHGtMjIyCjHNVjv3bsHIyMj9euUlBS9Sv6Ghobi7du3AP6XOBNDckxl27ZtQoegdYcPH0bjxo1RsWJFzJ8/Hw0aNCDRIebl5aUuvyxm5cuXx4ULFzB8+PAst1+4cAHOzs46jqrwNGjQAM7OzggODoZEIkHHjh1Fk7wG0jsW6tevn+12Nze3bCso6JPixYsjJCQEAPDu3Ts8fvxYYwb9p0+fYGio/48pVNoJpHdebtiwAf369cM333yD58+fo1OnTvj999+FDk1rVKUyVZVZPn78qN5WpkwZ9bHWdxKJBAMHDsSFCxdw+/ZtSCQSjB49Wm87bPMqKioKR44cweHDhyGXy9UDTfSNg4MDIiMjs9xWoUIFbN26FQMHDsTgwYPxzTff6Di6wkFtVqvYiXnmebdu3fDvv/9i9OjRGDRoEMqUKQOpVJppP7GsOxsdHY2qVasCgPp+JykpSb29WbNmWLdunSCxaRuFa+fVq1cxYcKEbLc3bdoUy5cv11k8hUmMx5NSUlcqlaJMmTKoV69ervs+evSIS6UzVsSJo8eEMcaKiObNm+PAgQOoVq0avvnmG/UDqUKhwN69e3Ho0CF06tRJvf9///2nF8nEtLQ0LFmyBFu3bkX58uXh6+uLf/75B2vWrIGnpyeWLl2ap5vDos7d3V3oELTu999/h0QigZ2dHRo2bIjU1FQ0atRIvY65WM2fP1/oEHSia9euWLBgAebPn4+JEyeqSywmJiZixYoVuH79OiZPnixwlNpx9uxZeHt7IykpCTNmzMA///wDHx8f3L9/HwsXLtTrCgIqxYoVy3K9OZWwsDB1Ek2fNWnSBLt27YK1tTUCAwNhYGCA5s2bq7eHhISIYiYdlXaqVKlSBatWrcLw4cPRqlUrLF68WDQdZSVKlEB4eDiA9IoIxYsXx71799CxY0cAwNOnT/V+bXqVBw8eYMKECQgPD8eQIUNw+fJlLFy4EC9fvoS3t7fGQEx9l5ycDH9/fxw6dAhXr15FWloaSpcujbFjx+rtbHoXFxdcunQp29mplSpVUiexN2zYoOPoCgfFWa0hISH48OFDpsS9vs5MVomPj8ehQ4dQu3ZteHh4CB2O1rVv3x4SiQRKpRLnz5/Pdj+xJFOsra3V6yNbWFhAJpMhIiJCvV0ikSAuLk6o8LSKwrUzJSUlx1m8r1+/RkpKig4jKjxiPJ6Ukrrly5eHlZVVnvqEfHx89LqtjFHACWzGGNOin3/+Gbdv38bs2bOxbNky9QzQ0NBQxMbGonTp0upkUmJiIt6/f68X5aj79u2LO3fuoEuXLpg9ezbMzMzg4uKCBg0aYNKkSRg4cCDGjx+PkSNHCh2qVsXGxgJITyrpqzlz5uDq1au4du0ajh07huPHjwMASpUqhUaNGqn/c3BwEDhS7Xr//j0sLS2zfbhMTExEdHS03s9w6N+/P86dOwdfX1/s378f5cqVAwC8ePEC8fHxcHd3x6BBg4QNUgsWLFgAX19flCtXDitWrECVKlXQr18/rFu3DqtXr4aXlxeWLFmS4+xlfeDu7o5du3ahTZs2qFOnjsa2//77D7t370bLli2FCU6Lxo0bhxs3bmDJkiXq16qSt6mpqTh9+jTat28vZIhaIdZ2fr4MxeekUin+++8/tGnTRv2eRCJBQEBAYYdWaOrVq4crV66oZx61atUK27dvh5mZGRQKBXbv3q3RXn21fft2LF68GBYWFtiwYQOaNm2KpKQk/Pbbb9i9ezdu376N5cuX631lj6CgIBw6dAgnTpyAXC6HiYkJOnfuDC8vLzRq1Ejo8AqkefPm+OWXXxAcHJxthZIqVapg69atGDRokPpeV59kTIABdGa1hoaGYuzYsXj69Gm2M871PYGtKtH766+/Ch1KoRg7dqxoBnblRfny5fH06VMA6Z/N6tWr49ChQ+jZsyfS0tJw8OBBUVTMonLtrF27Nnbu3In27dtnur4EBwdj586dqF27tkDRaY9YjyelpG61atX0+rmDMaZJouRaS4wxplVyuRwbN25EQEAAwsLCAABly5ZF69atMXz4cL2cPVenTh3MmDEDPXv2zLQtOjoaP//8My5fvqzXN7kq0dHRWLZsGfz9/TUS2O3atcOECRNga2srcIRf7tmzZ7h69SquXr2K69ev48OHD+pOlHLlyqmT2e3atRM40i93/PhxzJs3D+/fv4dMJkPnzp0xderUTIMQjhw5gilTpojiM5uamgpfX18cPXoUL168AJB+PLt27YqBAweKokSxi4uLxgCajG7cuIFJkyYhOjoa9+7dEyhC7Xj+/Dl69uyJxMRENG3aFJUrVwaQPrvz0qVLMDMzw759+1ChQgWBIy24tLQ0PH36FJaWlhpJBblcjqtXr8LFxQVlypQRMELtEGM7BwwY8EU/t337di1Hojt3795FQEAAxowZAxMTE8TExGDYsGHqZWMqV66MjRs36v2MetXgxKVLl2Ya2Hb06FHMnDkTUqkUN27cEChC7XBxcQEA1K9fH15eXujQoYNeLemTk+TkZLx69Qq2tra5ViaJjIxEWFiY3lUgcnFxyZQEVHVr5ZQc1Pd7vpEjR+LKlSsYP348mjZtmu3x1YfqXjlp164dunfvjlGjRgkdCiugdevW4c8//8Tly5dhbGyMgIAAjBs3DiYmJpBIJEhMTMTcuXPRvXt3oUMtECrXznv37qF///5ISUmBh4cHKlasCCC9j+HixYswMjLC9u3bUaNGDYEjLRixHs+ff/4ZAQEBuHXrVq77+vj4YOXKlXp73dy7dy/Wr1+P7du353pNPHv2LPz9/clU8GNMH3ECmzHGWK4eP36MKlWq5LjPhg0b9H4G9tu3b9GrVy9ERETAyckJlSpVApCePAoNDYWjoyP27dsHe3t7gSPVjuDgYAQGBuLq1au4ceMG4uLiIJFIclzHvSgLDg5G9+7dIZVKUaVKFbx9+xZv376Fk5MTNm3apFE2XUwJbAr279+f41qd0dHRmDp1qijKoQYHB+P333/HzZs3Nd53c3PDjBkz1IkXfXb9+nVUrFgx2wFB0dHRePbsGRo0aKDjyLSLSjspe/ToEaRSKSpUqKC3ayZntHz5cowfPz7btoSEhGDixInw8/PTbWBatnz5cnTv3l0UM/8yGjhwIL777js0btwYAODn5wc3Nze9GySTm1WrVn3RLNZx48YVQjS6U7duXfTu3RtTpkwROpRCtX79evj5+eHQoUPqpXGYflIqlUhJSdGoiBUQEIDDhw/DwMAA7du3R4cOHQSMUDuoXDsB4P79+5g3b16m55T69evD29tb75PXgHiPJyd1GWP6ihPYjDHG2P+bOXMmDhw4gHnz5mUq7X748GFMmzYNPXv2xOzZs4UJUMsSEhJw8+ZNXL16VT2DXiKR6G1Sd/z48bh69Sp27tyJypUrQ6lUYseOHVi0aBHs7e2xbds2dRJbLAnsO3fu5Fqqbe/evejVq5eOItI+uVyOMWPGoEuXLjkmscUmOjpavR52mTJl9Lr6w+dcXV2xaNEidOnSJcvtx48fx48//qj3308q7aQgIiICtra22SZTxLIsRV4kJyfr5dqPGYl1cImLiwsWL16sPufkdg5i+sXNzQ0//fSTXt/T5cW///6LRYsWIT4+Hv3794ezszNMTU0z7adv308g/dyTF/rYNpYzMVw7M4qOjtaoNiim55S8ENvxFJPVq1ejbdu26gk4ud3DM8aKPv2vKckYY0xnwsLCcObMGbx8+RIA4OzsjFatWmnMbNVn58+fx7fffpvluuTdunXDrVu3cO7cOZ3HpS3JyckICgrC1atXERgYiP/++w+pqakwNzdH/fr10blzZzRs2FDoML/Y/fv30bt3b3XZZYlEggEDBqBKlSr47rvvMGjQIOzYsUNUCYZ+/frhxx9/xJAhQzJti4uLw4wZM3Dy5Em97uy0sLDA3bt3SXTAZxyQYGtrm2VnkL4PSACQ7dqdKmlpaaKYzUqlnRS0atUqx0TgP//8I6rBCEePHoW/vz9CQ0MBAE5OTmjXrh06d+4sig7bgQMH5ng8r169qpfHs3jx4uqBT0Du5yCmXxo0aID79+8LHUahy3hPO3fu3CzLxevrgNsBAwbkqXqAPraNif/amVF2zyliQul4isnq1avh7OysTmDndg/PGCv6OIHNGGMsT1asWIENGzYgLS1N4/3Fixdj+PDhmDhxokCRac/79+9zLM/r6uqKv/76S4cRFdytW7fUCevbt28jKSlJnbCeMGEC3N3dUb16dVEkUd6+fQtnZ+dM7zds2BAbN27EiBEjMGjQIL1eh/VzDRs2xKJFixAYGIiFCxfCysoKAPDgwQNMnDgRoaGhWSa39U3lypXVo/zFjMKABJWcOnCDgoJgY2Ojw2gKjxjb2apVq3z/jEQiQUBAQCFEoxu5JQIVCsUXlTQualJSUjB27FhcvHgRSqUSFhYWkEgkePToEQICAnDkyBGsXbsWhob63Y0g1sEljRs3ho+PD+7du4dixYoBAPbt24crV65k+zMSiQTz5s3TVYiF4vjx4zh37hwWLVqUaZtSqcSUKVPQqlUrtGvXToDotGfKlCno378/GjVqhI4dOwodTqERc8narNqWmpqKsLAwHDx4EGXKlBHFPZ7K6tWrc9wukUhgYmICR0dHNGzYUG8TolSunRnFx8cjNjYWCoUi0zZ9HyxO4XjGxsaq7xOy8/DhQ71cuqpYsWKIjY1Vv+bBfIzpP/092zLGGNOZHTt2wMfHB7Vq1cKQIUPUa0M/efIEW7ZswYYNG1C8eHH0799f4EgLxtbWFo8ePcp2++PHj/Xuwbpv376QyWRo0qQJvv/+e7i7u6NGjRp62TGbG3t7e7x//z7LbfXr18f69esxcuRIDBo0SDSlqP/880/4+PhgzZo18PLywuLFi/Hw4UMsWLAA5ubmWLduHVq0aCF0mAU2YsQIzJgxA926dUPFihWFDqfQiHlAgq+vL7Zt26Z+PW/ePCxbtizTfrGxsZDL5ejRo4cuw9MaCu3U947JL5VTgvrZs2ewtLTUYTSFY+PGjbhw4QK6d++O77//HqVKlQIAvH79GqtXr8aBAwfw559/YvTo0QJHWnBiHFzi7e0NiUSCK1eu4N27d5BIJLh+/XqOZYvFkMDeuXNntut8SyQSSKVS7NixQ+8S2AMHDsz0nrm5OX788UcsXLgQZcuWzXQ/L5FI4Ovrq6sQC4WXl5fQIRSanNo2ZMgQeHl5iWIwlMrq1avV7fk8ifT5+zKZDKNGjdLLteopXTtPnDiBtWvX4unTp9nuo+8VBCgcT09PTyxbtizbpch2796NBQsW4M6dOzqOrOBcXV2xadMmpKamqp+lb9y4kWkizueyqsLIGCsaeA1sxhhjuWrfvj0sLCywe/duyGQyjW3Jycno3bs34uPjcfLkSYEi1I7p06fj8OHDWLRoUaaZDf7+/pg0aRK8vLzw22+/CRRh/qlGzZYsWRLu7u5o2LAhGjZsmG1Hnz4bOXIk0tLSsGnTpmz3uXr1KkaPHo3U1FSkpaXp/QO2yrVr1zB58mS8ffsWAFCvXj388ccfKFGihMCRacfq1atx5swZPHnyBC1btoSzs3OmdawkEgnGjh0rUITaoVQq1QMSSpQokWlAwsKFC/V2QMKhQ4dw8OBBAOmdCOXLl4ednZ3GPhKJBGZmZqhTpw4GDx6sl2uVUWknBYcOHcKhQ4cApJ9jK1asmOlYAsDHjx/x5MkTtG7dGitXrtR1mFrVoUMHODk5Yf369VluHzlyJMLCwnDixAkdR1ZwGQeXhIeHw9bWNst1dTMOLvn99991HaZWfb4mtlg1atQIo0ePxuDBg7Pcvm3bNqxbty7HmehF0ddff/1FP/fPP/9oOZKiITU1FXFxceqEhBitXr0ap06dwtGjR4UORSuePXuGqVOnAgAGDx6sHoT69OlTbN26FVKpFNOnT0d4eDg2bdqE+/fvY/78+XqXSBLztTOjs2fP4rvvvoOzszMaNWqEvXv3olOnTkhLS8OZM2dQtWpVfPXVV3o5CCEjCsfTw8MDMTExmDRpEoYOHap+X1Xx68SJE6hTpw727NkjYJRf5uHDhxg3bpx6SRWJRJLrLGx9XZaCMSp4BjZjjLFchYeH48cff8yUvAYAIyMjdOnSBX/88YcAkWnX+PHjcf78efz4449YvXq1ei3lp0+f4vnz57C3t9e7B7LAwEBcu3YNgYGBCAwMxJEjRyCRSFCqVCm4u7urk9qlS5cWOtQC8/DwwPz58xEWFpbtuuyNGjWCj48PRo8enesoXH1iYWEBY2Nj9cNZxYoV9XL2WHYyliA8ffp0lvuIIYEtkUgwZswYuLm5YfLkyeqqFmIYkODl5aWeeeTi4oLvvvtOlEkVKu0MCQmBg4MDzM3Nc903KioK9+7d+6LS40KKjY3V6PyKjo5GQkKCxj6qwQg9evQQxVIq4eHhOVbTadGiBRYuXKjDiLSnWLFi6uoBERERsLa2znJwSeXKldWDS/Sdl5cXnJychA6j0MXFxWX5jKIilUrx6dMnHUakHWJNROfmzJkzuH37Nn788Uf1e1u3bsUff/yBlJQUtGzZEsuXLxflGrR2dnZ4+fKl0GFozcGDB6FUKjMNgndxcUHbtm3Rt29f+Pv7Y/LkyWjVqhU8PT2xe/duvUtgi/namdGmTZtQvnx5+Pn5IS4uDnv37kXPnj3RuHFjPHz4EH379tX7ZzGAxvE8fPgwfvrpJyxatAjXrl3DggULEBERgQkTJiAsLAzDhg3DpEmThA7zi7i4uODUqVMICwvD27dvMWDAAIwePRpNmjQROjTG2BfiBDZjjLFcOTg4IDk5OdvtKSkpep1YUSlRogT++usvLF26FGfOnMHz588BpJfr69q1KyZNmpTl7KuizMrKCm3atEGbNm0AANHR0eo1sQMDA+Hn5weJRAJHR0d1MlvfOg1UunXrhnLlykEqlea4X+PGjbFz5048efJER5EVrp07d2LhwoWwtLSEj48PAgICsG/fPty7dw/Lly8XRef1mTNnhA5Bp8Q4ICFjwvPhw4c57quvCU+ATjs7duyIRYsWqZPzsbGx8PLywpIlS1C3bl2NfQMDAzFlyhS9m9kwaNAgDBo0CEB6Z9i0adNEORghI1NT02yX4gCA9+/fZzlrWR9QGVySkZjXEs7I0dERd+/eRb9+/bLcfufOHTg4OOg4Ku3w8/ODm5ubKCsnZcfX1xf29vbq10+ePMHChQtRvnx5lC1bFv/88w927NihMWtQLAICAvT+fi+jv//+G0OGDMl2EHznzp2xZcsWTJ48GUZGRujYsSM2b94sQKQFI+ZrZ0bBwcEYNWoUjI2N1QP6VM8qLi4u+Oabb7B+/Xq0bNlSyDALjMLxtLW11ViKrHPnzoiNjYWZmZkoliCTSqUoV64cypUrB0dHR9SsWRPu7u5Ch8UY+0LiWwCTMcaY1vXo0QN//fUX5HJ5pm2fPn3CX3/9pZfreGalRIkSWLRoEW7cuIHLly/j8uXLuHHjBubPn4/Lly+jQ4cOQodYILa2tujYsSNmz56NkydP4sKFC1i0aBEcHR1x6NAhTJs2TegQv1ixYsXg4eGBEiVKICIiAh8+fMh23xo1aohijb3x48fj999/R+3atXHo0CG0bNkSc+fOxaJFi/DixQt4eXnh2LFjQodZYKVLl87Tf2Kwc+dO9bIMPj4+6NGjB/bt24fevXsjNDRU6PC+WMeOHTVmk8XGxqJVq1YICgrKtG9gYKDeVbtQodLOz0vxpaWlITw8HImJiQJFVLjOnDmD1q1bCx1GoatTpw52796NsLCwTNsiIiKwZ8+eTAMU9EVISAji4uIApJeXzCl5HRUVJZqBU69fv8a0adPQvHlz1KhRA//++y+A9A54b29v3L17V+AIC+6rr77C0aNHERAQkGnbmTNncOzYMb1NqHh7e2tcP+RyOXr27In//vtPwKgK1/Pnz1G9enX162PHjsHExAR79+7F+vXr0alTJxw5ckTACL/c6tWrs/xv7ty56NKlCy5fviyK5xOV6OhopKSkZLs9OTkZMTEx6tclSpTQywpZYr52ZpSamqoeYGFsbAwAGv1DlSpVwqNHjwSJTZuoHE+JRIKBAweiZs2aePfuHVJSUjB69Gi9T15/7p9//tHLwcKMsf/hGdiMMcYyuX79usbrunXr4syZM+jSpQv69u2rsX7V7t27YWdnhzp16ggQqfY8ePAAL168gI2NDRo0aABDQ0P1bOtjx45h1apVePHiRZ7KpeqDqKgoXL16VT0bOzIyEkDmpIQ+Sk1NRatWrTBp0iSMGDFC6HAKVUBAAEaPHo3vv/8eBgb/G5fYtWtX1KxZExMmTMDkyZPRqVMnAaP8MuvWrcvX/hKJBKNGjSqkaHRj/PjxOH36NNzc3LB06VI4ODigZcuWaNiwIWbNmgUvLy/MmTNHL48nlYQnlXZSI5YBMrkZM2YM+vXrh65du6Jbt24aS6kcPnwYKSkpGDNmjMBRfhkKVQM+Fx4ejm+//RYJCQmoU6eOOnkNpJcqvnfvHg4cOIBatWoJGGXBjRo1CidPnsT3338Pd3d3VKtWDUD6vf21a9fg4OCA7777TuAov8zn15SUlBTcu3cvy0HFYvHx40eNWcg3btxAw4YNYWlpCQBwd3fHhQsXhAqvQDIuifO54sWLY9KkSRg+fLgOIypcqnLT/fv3zzRjNT4+Hn5+fnB2dla/9+rVK9ja2uo6zAIT87UzIwcHB0RFRQFIn6VsZWWFx48fo23btgDSj58YSvtTOZ4PHjzAhAkTEB4ejiFDhuDy5ctYuHAhXr58CW9vb1EcS8aYOHACmzHGWCYDBgyARCLReE/VgbJ06VL1NtV7kZGRGDp0qF529CUlJWHcuHG4dOmS+r3SpUtjy5YtMDY2xqRJk3Dz5k2Ymppi5MiRGDJkiIDRfrmYmBgEBgaqk9aq9dWUSiWsrKzQunVrNGrUCI0aNRI40oIzNjaGlZWVaAYb5GTjxo1o2rRpltvKly+P/fv3Y+7cuTqOSjuWL1+er/3FkMAW84AExvRdbGwsDhw4gDt37uDjx49QKBQa2yUSCXx9fQWKTjtq166NtWvXYtasWdizZ4/GttKlS2PWrFl6m+ykOLhEdR39+++/YWJikmn9x+bNm+PcuXO6D0zLbG1tsWfPHsyaNQsXLlxAYGAggPTvZIsWLTBz5ky9WwKIMmtra7x58wZA+nPa3bt3NaqVpKamIjU1VajwCiSryg4SiUS0zy1Dhw7F1KlT4enpiT59+qB8+fIA0iti7Nq1C2FhYRpLHZw6dQo1a9YUKtwvJuZrZ0a1atXCjRs31K+bN28OX19flC5dGgqFArt370a9evUEjFA7KBzP7du3Y/HixbCwsMCGDRvQtGlTJCUl4bfffsPu3btx+/ZtLF++XGOAib5wcXGBgYEBbt++DSMjI7i4uGTq2/ycRCLBgwcPdBQhYyy/OIHNGGMsEypr5gHAn3/+iYsXL6JatWpo2LAhQkNDcebMGcyePRtRUVF4+fIlhg0bhuHDh8Pa2lrocPNt/vz5uHr1Kp48eQKlUgmlUgkzMzN4eHioE9aurq653tTrm8aNG+Pq1avo27ev0KEUqs+T17GxsQDSy6kD6evLzZ49W+dxacO2bduEDkHnxDwggTF9FhkZiT59+uD169ewtLSEXC6HlZUVYmNjoVAoYGNjo/frIao0b94cAQEBuH//vrp8ppOTE6pVq6YxsIYVfVeuXEGfPn3g6OioUaZXxdHRUT2bTt+VKlUK69evx8ePH9WDNJ2dnWFlZSVwZCy/qlevjgMHDqBp06Y4ffo0UlJS4OHhod7+6tUrvR2QQKWah4qnpyfi4uKwZMkSLFiwQGMQvKmpKaZNmwZPT08A6eXEf/31V71d753CtbN79+44ePAgEhMTYWJiggkTJuD69evw9vYGkF5FYPLkyQJHqR1iP55z585FgwYN1BW/gPRJAL///jsaNmyImTNnokePHhoDFvSFp6cnJBIJpFKpxmvGmP7iBDZjjLFMMq69de/ePYSGhsLGxgZubm6QyWQCRqZ9J0+eRJ06dbBr1y71w8iKFSvg4+MDBwcHHDp0SF0yXR/5+vrCyMgIbm5u6oR1rVq1YGgo7luAn376Cf369cOyZcswfPhwddlBMYqOjsayZcvg7++vkcBu164dJkyYoJel+ID0EpHUiHlAAmP6bMWKFfjw4QO2bNmCqlWrokmTJli2bBnq1KmDNWvW4OTJk9i5c6fQYWqNgYEBatasCWtraxw7dgzXr1/HnTt30KNHD5iYmAgdHsujjx8/okSJEtluVyqVOa5Pq4+srKz0fmYcdaNHj8aQIUPw7bffQqlUonnz5nB1dVVvP3fuHGrXri1ghPnzyy+/5Gt/AwMDFCtWDFWrVsXXX38NMzOzQopMN1SlmC9duqROBJYtWxbNmjXTeD4zMjJC48aNhQpTK8R+7WzatKnGs0rp0qVx/PhxXL16FVKpFPXq1RPVM7eYj+fo0aMxfvz4LJPxXbp0QY0aNTBx4kQBIiu4BQsW5PiaMaZ/xN17zRhj7IslJydj3LhxuHjxovq9smXLYtOmTShbtqyAkWlXWFgYJk6cqHHz3rlzZ/j4+GDEiBF6nbwGgC1btqB+/frk1jAaMGAAEhMTsWHDBmzYsAG2traZHjQlEgkCAgIEilA73r59i169eiEiIgJOTk6oX78+gPQ1uvbt24dLly5h3759sLe3FzhSlldiHZDAxOfMmTMIDw8HACQkJEAikeDo0aO4c+eOxn76uLzI565cuYKePXuicePGGjNZTU1NMXnyZDx58gRLly7FokWLBIzyyxw4cADbtm3Dli1bNGY1Xr58GePGjUNiYiKUSiUkEgn27duH3bt3631ChQoHBweEhIRku/2///7T29mO2YmPj1dXRvico6OjABEVXF7PtYA4llOpU6cODh06hAsXLqBYsWIay6bExMTAw8MDbdq0ETDC/Nm/f/8X/6yDgwO2bNmi98+jlpaW6NChg9BhaBVfO9OZmZnh66+/FjqMAqN2PCdMmJDj9vLly2Pfvn26CYYxxnLBCWzGGGNZ2rRpEy5cuAAXFxc0btwYISEhOHfuHGbOnIktW7YIHZ7WJCYmZkoIqV6r1unSZ/o+kv1L6WsnZX6tWrUKr1+/xoIFC9Ql+FQOHz6MadOmYdWqVTxrV0+IfUAClYQnlXaePHkSJ0+e1Hjv4MGDWe6r76X7oqOjUbVqVQBQVzBJSkpSb2/WrBnWrVsnSGwFde7cOZibm2t02CqVSvz6669ITEzEiBEjULduXfj7++PQoUPYtm0bRo8eLWDELK9atmyJv/76C/369cvU0R4YGIhjx45h2LBhAkWnXSdOnMDatWvx9OnTbPfR13Nufs+1+pjADgkJgYODg3od6HLlyqFcuXKZ9rOxscGwYcNw7949HUf45bJa9zonSqUScrkct27dwuLFi7F48WK9vb6IGV87xYXq8Tx69Cj8/f0RGhoKIL1Mert27dC5c2e9ngDRrl27fP/MqVOnCiESxpg2cAKbMcZYlk6cOIGaNWtiz5496vVjlixZgk2bNiEmJgY2NjYCR1j4VO1m+mf79u1Ch6AT58+fx7fffpspeQ0A3bp1w61bt3Du3Dmdx8W+jNgHJFBJeFJoJ7U16q2trfHp0ycAgIWFBWQyGSIiItTbJRIJ4uLihAqvQB4+fIj27dtrvBcUFIRXr16hS5cumDRpEoD0ZOirV68QEBCgt522VAaXqIwZMwYBAQHo3r07WrRoAYlEgv3792P79u04f/48SpUqheHDhwsdZoGdPXsWEydOhLOzM7799lvs3bsXnTp1QlpaGs6cOYOqVaviq6++EjrML0LlXNuxY0csWrQIXbp0AZC+hIqXlxeWLFmCunXrauwbGBiIKVOm6M339EvXvXZxcUFUVBR27dql5Yh06/bt29ixYwdevHiBDx8+QKlUamzX14pYlK6dGfHxFMfxTElJwdixY3Hx4kUolUpYWFhAIpHg0aNHCAgIwJEjR7B27Vq9XXbu8+VRlEolIiMjYW9vr9eJecao0s8zEWOMsUIXFhaGH374QSOJ6+XlhT///BMvX74UVQI7Y4cmkHOnpr7ObGDi9P79e7i4uGS73dXVFX/99ZcOI2IFIeYBCVQ64am0k9oa9eXLl1fP7JRIJKhevToOHTqEnj17Ii0tDQcPHoSTk5PAUX6Z6OjoTEvD3Lp1CxKJJFPJ16+++go+Pj66DE+rKAwuycjOzg579+7Fb7/9hr///htKpRLHjx+HgYEBmjdvjtmzZ4tivdJNmzahfPny8PPzQ1xcHPbu3asu+f/w4UP07dsXY8eOFTrML0LlXPt5EiwtLQ3h4eFITEwUKKKioUaNGihWrJjQYXyxgwcPYvr06ZDJZChfvjxKlSoldEhaQ+naqcLHM50YjufGjRtx4cIFdO/eHd9//736WL5+/RqrV6/GgQMH8Oeff+ptkv6ff/7ReB0dHf1/7d17VNRl4sfxz2AieBfviOR6SWq9gat4SUkzwnsobJRmQnV0zfWkdrzkOeKeI6vpdtyz2koeTCVXWh1UvC256Fpp5QVQIvHSUVnNEldKQhkFmd8f/pocB0xT+X6Zeb/+cp7vA36m7yliPs/3edSnTx8tXrzYY3coBKozCmwAQIVKSkqctlCSft5a290+TKjoA02p4g81KbDN6+mnn76n+dV1hfit/Pz8dPz48UqvnzhxgjOTqxF3XpDgKR/Ce8r79DR9+/ZVUlKS4uPjVatWLb366quaPHmyevbsKYvFIpvNpoSEBKNj/ioWi8XlSZWcnBxJN8+ivVWjRo2q7f8Desriktu1aNFC7777roqLi3X69GnZ7XYFBgaqYcOGRkd7YPLy8jRhwgTVqlVLJSUlkn4uRIOCghQdHa333ntPAwYMMDImcM+eeeaZanXe9+3+/ve/67HHHtP777/v8rlCdecpPztvxf28yR3u59atWxUWFqY///nPTuMtWrTQ/PnzVVBQoLS0tGpbYN/OHRYlAp6MAhsAcM9uXyVfnXnqB5ruyMvL665+ObHZbCooKHCLX2T69eunDRs2qEePHhoyZIjTtZ07d2r9+vWKjIw0KB3uFQsSAHOaMGGC4uLiHNsODho0SMuWLVNaWpq8vLwUERHh8oROdeHv76/s7GyNHTtW0s0nHzMzMxUQEODy35uioqJqW3x6+uKSunXrqnPnzkbHeCjKysocO0PVqlVLklRcXOy43r59e61fv96QbIAnKygo0MyZM92u7JQ852fnrbifN7nD/fzmm28c77UiYWFhevvtt6swEQBUjgIbAFApT9ha29M/0HQn//73v+943W63a+PGjfrb3/4mSXd80rW6mDJlij7++GNNnz5dy5YtU4cOHSRJX3/9tU6dOqUmTZpo8uTJBqfE3WJBAmBOFovF5cy8QYMGadCgQQYlenDCwsK0evVqBQcHq1evXkpNTVVhYaGGDh3qMjc3N/dXn+eKqtGpU6d7/prc3NyHkKTqNGvWTBcuXJAk+fr6qkGDBjpx4oTCw8MlSefOnePMS8AAjz76qK5cuWJ0jIfCE392cj9vcof76evrq0uXLlV6/dKlS/L19a3CRABQOQpsAECl2Fob7uLTTz/V4sWLdfLkSTVv3lwLFy7UyJEjjY5135o3b67U1FS988472rVrl06dOiVJqlOnjkaMGKFp06apefPmBqfE3WJBAoCqFhcXp02bNjm2QLfb7apfv75iY2Od5tlsNu3Zs0cxMTFGxMRdKisrk4+Pjzp16uQWO83cjS5duujQoUOO1/3799eaNWvUqlUrlZeXKyUlRSEhIQYmBDzTyy+/rMTERI0ZM0Z16tQxOs4D5Yk/O7mf7nM/u3XrppSUFEVGRrqc/X3+/Hl9+OGHCg4ONigdADijwAYAVIitteEO8vLytHjxYn3++eeqU6eOpk6dqvHjx1frJ3E2b96s3/3udwoICJB0s8RetGiR7Ha7CgsLJd3citpTPrh2JyxIAMzlwIED8vHxUZcuXSRJV69e1YIFC1zmBQQEVNtFfH5+frJarUpKSlJ+fr4CAwMVGxurli1bOs3LyclRaGio46lWmJO/v7/Onz+v8+fPa9SoUYqKilKLFi2MjvVQjRo1Shs3bpTNZpOPj4/eeOMNHTx4ULNnz5YkNW3aVG+++abBKfFLbt356067fuXl5RkRD79CVFSUioqKNHToUEVGRiogIEA1atRwmffcc89Vfbj75Ik/O7mf7nM/J02apDFjxmjEiBEaOXKk06LptLQ0lZaWatKkSQanBICbLHZ3OsgUAABA0rfffqslS5Zo27Zt8vLy0gsvvKBJkyY5zkiszh5//HEtWrRIw4cPl3TznMfx48crPj7ebc+3dGe3L0j4CQsSAGPl5OTo+eef1/z58zV69GhJ0vfff6/evXu7zLVYLFq/fj3/DYYp7Nu3Txs2bNCuXbtUXl6uPn36KDo6WgMHDtQjj3jGMwxXr17VF198oRo1aigkJET16tUzOhLu4F6P9bFYLBTZ1UBhYaFef/11ZWdnVzqHe1l9cD/dyyeffKJ58+bp/PnzTuOtWrXSvHnz1K9fP4OS3b/ExESn1yUlJVqxYoUiIyMVGBjoMp/dJAFz84zfXgAAgEcoLi7W8uXLtXbtWl27dk0RERGaPn26y9ZY1dntaw9LS0uVm5ur4uJigxLhfsyePVuLFi1yFNgsSADMIS0tTS1atKjw3Pm//OUvjq0Vy8vL9eKLL2rz5s38OwtT6Nu3r/r27avvv/9emzdvVmpqqqZMmSI/Pz+NHDlSUVFRateundExH5ry8nJduHBBTZs2Vfv27TnHsxpg5y/3NG/ePB05ckTjxo1Tz549Vb9+faMj4T5wP91L//79lZGRoa+++kpnz56VJAUGBuqJJ56Ql5eXwenuz1//+tcKxys6ClGiwAb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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "ms_data.plt.spatial_scatter_by_regulon(\n", " scope=slice_generator[:],\n", " mode='integrate',\n", " reg_name='Foxc1(+)',\n", " network_res_key='regulatory_network_inference',\n", " plotting_scale_width=2, reorganize_coordinate=8, \n", " # horizontal_offset_additional=20, vertical_offset_additional=30\n", " )" ] }, { "cell_type": "markdown", "id": "9251d20d", "metadata": {}, "source": [ "3D spatial expression map of the regulon can also be visualized using the function `spatial_scatter_by_regulon_3D`. The observation angle can be adjusted using the `view_horizontal` and `view_vertical` parameters." ] }, { "cell_type": "code", "execution_count": 17, "id": "1d170037", "metadata": { "ExecuteTime": { "end_time": "2023-05-26T07:20:10.800990Z", "start_time": "2023-05-26T07:20:06.175496Z" }, "execution": { "iopub.execute_input": "2023-11-15T08:48:47.247772Z", "iopub.status.busy": "2023-11-15T08:48:47.243900Z", "iopub.status.idle": "2023-11-15T08:49:26.962152Z", "shell.execute_reply": "2023-11-15T08:49:26.960949Z", "shell.execute_reply.started": "2023-11-15T08:48:47.247737Z" }, "tags": [] }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "[2023-11-15 16:48:47][Stereo][39122][MainThread][140302246872896][ms_pipeline][128][INFO]: register plot_func spatial_scatter_by_regulon_3D to -140302023674512\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "ms_data.plt.spatial_scatter_by_regulon_3D(\n", " scope=slice_generator[:],\n", " mode='integrate', \n", " reg_name='Foxc1(+)',\n", " view_horizontal=10, \n", " view_vertical=20,\n", " show_axis=True,\n", " network_res_key='regulatory_network_inference'\n", " )" ] }, { "cell_type": "markdown", "id": "b8ca5f20", "metadata": {}, "source": [ "
\n", " \n", "**Note**\n", " \n", "Please note that for multi samples, batch correction can be performed before clusteringif necessary.\n", " \n", "
" ] }, { "cell_type": "code", "execution_count": 18, "id": "6109bcd0-7528-46ed-b5f9-e19a5aa17606", "metadata": { "execution": { "iopub.execute_input": "2023-11-15T10:20:13.148805Z", "iopub.status.busy": "2023-11-15T10:20:13.148067Z", "iopub.status.idle": "2023-11-15T10:20:13.167269Z", "shell.execute_reply": "2023-11-15T10:20:13.166378Z", "shell.execute_reply.started": "2023-11-15T10:20:13.148758Z" }, "tags": [] }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "[2023-11-15 18:20:13][Stereo][39122][MainThread][140302246872896][ms_pipeline][128][INFO]: register plot_func start_vt3d_browser to -140302023674512\n" ] } ], "source": [ "ms_data.plt.start_vt3d_browser(\n", " scope=slice_generator[:],\n", " mode='integrate', \n", " grn_res_key='regulatory_network_inference', \n", " cluster_res_key='leiden'\n", " )" ] }, { "cell_type": "markdown", "id": "9d683fe7", "metadata": {}, "source": [ "Display 3D mesh in notebook.\n", "\n", "
\n", "\n", "**Note**\n", "\n", "If you don't run the notebook locally, you need to specify the IP of host on which this notebook is ran by parameter `ip`.\n", "\n", "
" ] }, { "cell_type": "code", "execution_count": null, "id": "32763a09-f35c-4177-95ef-d1a1732f4913", "metadata": { "execution": { "iopub.execute_input": "2023-11-15T10:20:19.694360Z", "iopub.status.busy": "2023-11-15T10:20:19.693508Z", "iopub.status.idle": "2023-11-15T10:20:24.707085Z", "shell.execute_reply": "2023-11-15T10:20:24.706335Z", "shell.execute_reply.started": "2023-11-15T10:20:19.694316Z" }, "tags": [] }, "outputs": [], "source": [ "# ms_data.plt.display_3d_grn(scope=slice_generator[:],mode='integrate', ip='172.16.18.15')\n", "\n", "ms_data.plt.display_3d_grn(scope=slice_generator[:],mode='integrate')" ] }, { "attachments": { "grn3d.png": { "image/png": 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