{ "cells": [ { "cell_type": "markdown", "id": "9a51a013-8798-4327-bd2b-5aaf0427cda4", "metadata": {}, "source": [ "# PVMismatch" ] }, { "cell_type": "code", "execution_count": 1, "id": "50531b9f-821b-4f17-ae11-535b6241dee6", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\KANDERSO\\Software\\Anaconda3\\envs\\dev\\lib\\site-packages\\numpy\\_distributor_init.py:30: UserWarning: loaded more than 1 DLL from .libs:\n", "C:\\Users\\KANDERSO\\Software\\Anaconda3\\envs\\dev\\lib\\site-packages\\numpy\\.libs\\libopenblas.EL2C6PLE4ZYW3ECEVIV3OXXGRN2NRFM2.gfortran-win_amd64.dll\n", "C:\\Users\\KANDERSO\\Software\\Anaconda3\\envs\\dev\\lib\\site-packages\\numpy\\.libs\\libopenblas.FB5AE2TYXYH2IJRDKGDGQ3XBKLKTF43H.gfortran-win_amd64.dll\n", " warnings.warn(\"loaded more than 1 DLL from .libs:\"\n" ] } ], "source": [ "import utils\n", "from bokeh.io import output_notebook\n", "from bokeh.plotting import show" ] }, { "cell_type": "code", "execution_count": 2, "id": "c987023b-ca0a-4ebf-9b9d-33793d3cf8f8", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", " \n", " Loading BokehJS ...\n", "
\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/javascript": [ "(function(root) {\n", " function now() {\n", " return new Date();\n", " }\n", "\n", " const 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", "const JS_MIME_TYPE = 'application/javascript';\n", " const HTML_MIME_TYPE = 'text/html';\n", " const EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n", " const CLASS_NAME = 'output_bokeh rendered_html';\n", "\n", " /**\n", " * Render data to the DOM node\n", " */\n", " function render(props, node) {\n", " const script = document.createElement(\"script\");\n", " node.appendChild(script);\n", " }\n", "\n", " /**\n", " * Handle when an output is cleared or removed\n", " */\n", " function handleClearOutput(event, handle) {\n", " const cell = handle.cell;\n", "\n", " const id = cell.output_area._bokeh_element_id;\n", " const server_id = cell.output_area._bokeh_server_id;\n", " // Clean up Bokeh references\n", " if (id != null && id in Bokeh.index) {\n", " Bokeh.index[id].model.document.clear();\n", " delete Bokeh.index[id];\n", " }\n", "\n", " if (server_id !== undefined) {\n", " // Clean up Bokeh references\n", " const cmd_clean = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n", " cell.notebook.kernel.execute(cmd_clean, {\n", " iopub: {\n", " output: function(msg) {\n", " const id = msg.content.text.trim();\n", " if (id in Bokeh.index) {\n", " Bokeh.index[id].model.document.clear();\n", " delete Bokeh.index[id];\n", " }\n", " }\n", " }\n", " });\n", " // Destroy server and session\n", " const cmd_destroy = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n", " cell.notebook.kernel.execute(cmd_destroy);\n", " }\n", " }\n", "\n", " /**\n", " * Handle when a new output is added\n", " */\n", " function handleAddOutput(event, handle) {\n", " const output_area = handle.output_area;\n", " const output = handle.output;\n", "\n", " // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n", " if ((output.output_type != \"display_data\") || (!Object.prototype.hasOwnProperty.call(output.data, EXEC_MIME_TYPE))) {\n", " return\n", " }\n", "\n", " const toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n", "\n", " if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n", " toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n", " // store reference to embed id on output_area\n", " output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n", " }\n", " if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n", " const bk_div = document.createElement(\"div\");\n", " bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n", " const script_attrs = bk_div.children[0].attributes;\n", " for (let i = 0; i < script_attrs.length; i++) {\n", " toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n", " toinsert[toinsert.length - 1].firstChild.textContent = bk_div.children[0].textContent\n", " }\n", " // store reference to server id on output_area\n", " output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n", " }\n", " }\n", "\n", " function register_renderer(events, OutputArea) {\n", "\n", " function append_mime(data, metadata, element) {\n", " // create a DOM node to render to\n", " const toinsert = this.create_output_subarea(\n", " metadata,\n", " CLASS_NAME,\n", " EXEC_MIME_TYPE\n", " );\n", " this.keyboard_manager.register_events(toinsert);\n", " // Render to node\n", " const props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n", " render(props, toinsert[toinsert.length - 1]);\n", " element.append(toinsert);\n", " return toinsert\n", " }\n", "\n", " /* Handle when an output is cleared or removed */\n", " events.on('clear_output.CodeCell', handleClearOutput);\n", " events.on('delete.Cell', handleClearOutput);\n", "\n", " /* Handle when a new output is added */\n", " events.on('output_added.OutputArea', handleAddOutput);\n", "\n", " /**\n", " * Register the mime type and append_mime function with output_area\n", " */\n", " OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n", " /* Is output safe? */\n", " safe: true,\n", " /* Index of renderer in `output_area.display_order` */\n", " index: 0\n", " });\n", " }\n", "\n", " // register the mime type if in Jupyter Notebook environment and previously unregistered\n", " if (root.Jupyter !== undefined) {\n", " const events = require('base/js/events');\n", " const OutputArea = require('notebook/js/outputarea').OutputArea;\n", "\n", " if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n", " register_renderer(events, OutputArea);\n", " }\n", " }\n", " if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n", " root._bokeh_timeout = Date.now() + 5000;\n", " root._bokeh_failed_load = false;\n", " }\n", "\n", " const NB_LOAD_WARNING = {'data': {'text/html':\n", " \"
\\n\"+\n", " \"

\\n\"+\n", " \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n", " \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n", " \"

\\n\"+\n", " \"\\n\"+\n", " \"\\n\"+\n", " \"from bokeh.resources import INLINE\\n\"+\n", " \"output_notebook(resources=INLINE)\\n\"+\n", " \"\\n\"+\n", " \"
\"}};\n", "\n", " function display_loaded() {\n", " const el = document.getElementById(\"1002\");\n", " if (el != null) {\n", " el.textContent = \"BokehJS is loading...\";\n", " }\n", " if (root.Bokeh !== undefined) {\n", " if (el != null) {\n", " el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n", " }\n", " } else if (Date.now() < root._bokeh_timeout) {\n", " setTimeout(display_loaded, 100)\n", " }\n", " }\n", "\n", " function run_callbacks() {\n", " try {\n", " root._bokeh_onload_callbacks.forEach(function(callback) {\n", " if (callback != null)\n", " callback();\n", " });\n", " } finally {\n", " delete root._bokeh_onload_callbacks\n", " }\n", " console.debug(\"Bokeh: all callbacks have finished\");\n", " }\n", "\n", " function load_libs(css_urls, js_urls, callback) {\n", " if (css_urls == null) css_urls = [];\n", " if (js_urls == null) js_urls = [];\n", "\n", " root._bokeh_onload_callbacks.push(callback);\n", " if (root._bokeh_is_loading > 0) {\n", " console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n", " return null;\n", " }\n", " if (js_urls == null || js_urls.length === 0) {\n", " run_callbacks();\n", " return null;\n", " }\n", " console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n", " root._bokeh_is_loading = css_urls.length + js_urls.length;\n", "\n", " function on_load() {\n", " root._bokeh_is_loading--;\n", " if (root._bokeh_is_loading === 0) {\n", " console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n", " run_callbacks()\n", " }\n", " }\n", "\n", " function on_error(url) {\n", " console.error(\"failed to load \" + url);\n", " }\n", "\n", " for (let i = 0; i < css_urls.length; i++) {\n", " const url = css_urls[i];\n", " const element = document.createElement(\"link\");\n", " element.onload = on_load;\n", " element.onerror = on_error.bind(null, url);\n", " element.rel = \"stylesheet\";\n", " element.type = \"text/css\";\n", " element.href = url;\n", " console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n", " document.body.appendChild(element);\n", " }\n", "\n", " for (let i = 0; i < js_urls.length; i++) {\n", " const url = js_urls[i];\n", " const element = document.createElement('script');\n", " element.onload = on_load;\n", " element.onerror = on_error.bind(null, url);\n", " element.async = false;\n", " element.src = url;\n", " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n", " document.head.appendChild(element);\n", " }\n", " };\n", "\n", " function inject_raw_css(css) {\n", " const element = document.createElement(\"style\");\n", " element.appendChild(document.createTextNode(css));\n", " document.body.appendChild(element);\n", " }\n", "\n", " const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-2.4.3.min.js\"];\n", " const css_urls = [];\n", "\n", " const inline_js = [ function(Bokeh) {\n", " Bokeh.set_log_level(\"info\");\n", " },\n", "function(Bokeh) {\n", " }\n", " ];\n", "\n", " function run_inline_js() {\n", " if (root.Bokeh !== undefined || force === true) {\n", " for (let i = 0; i < inline_js.length; i++) {\n", " inline_js[i].call(root, root.Bokeh);\n", " }\n", "if (force === true) {\n", " display_loaded();\n", " }} else if (Date.now() < root._bokeh_timeout) {\n", " setTimeout(run_inline_js, 100);\n", " } else if (!root._bokeh_failed_load) {\n", " console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n", " root._bokeh_failed_load = true;\n", " } else if (force !== true) {\n", " const cell = $(document.getElementById(\"1002\")).parents('.cell').data().cell;\n", " cell.output_area.append_execute_result(NB_LOAD_WARNING)\n", " }\n", " }\n", "\n", " if (root._bokeh_is_loading === 0) {\n", " console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n", " run_inline_js();\n", " } else {\n", " load_libs(css_urls, js_urls, function() {\n", " console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n", " run_inline_js();\n", " });\n", " }\n", "}(window));" ], "application/vnd.bokehjs_load.v0+json": "(function(root) {\n function now() {\n return new Date();\n }\n\n const force = true;\n\n if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n root._bokeh_onload_callbacks = [];\n root._bokeh_is_loading = undefined;\n }\n\n\n if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n const NB_LOAD_WARNING = {'data': {'text/html':\n \"
\\n\"+\n \"

\\n\"+\n \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n \"

\\n\"+\n \"\\n\"+\n \"\\n\"+\n \"from bokeh.resources import INLINE\\n\"+\n \"output_notebook(resources=INLINE)\\n\"+\n \"\\n\"+\n \"
\"}};\n\n function display_loaded() {\n const el = document.getElementById(\"1002\");\n if (el != null) {\n el.textContent = \"BokehJS is loading...\";\n }\n if (root.Bokeh !== undefined) {\n if (el != null) {\n el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n }\n } else if (Date.now() < root._bokeh_timeout) {\n setTimeout(display_loaded, 100)\n }\n }\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n\n root._bokeh_onload_callbacks.push(callback);\n if (root._bokeh_is_loading > 0) {\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls == null || js_urls.length === 0) {\n run_callbacks();\n return null;\n }\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n\n function on_error(url) {\n console.error(\"failed to load \" + url);\n }\n\n for (let i = 0; i < css_urls.length; i++) {\n const url = css_urls[i];\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\n element.rel = \"stylesheet\";\n element.type = \"text/css\";\n element.href = url;\n console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n document.body.appendChild(element);\n }\n\n for (let i = 0; i < js_urls.length; i++) {\n const url = js_urls[i];\n const element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\n element.async = false;\n element.src = url;\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n };\n\n function inject_raw_css(css) {\n const element = document.createElement(\"style\");\n element.appendChild(document.createTextNode(css));\n document.body.appendChild(element);\n }\n\n const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-2.4.3.min.js\"];\n const css_urls = [];\n\n const inline_js = [ function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\nfunction(Bokeh) {\n }\n ];\n\n function run_inline_js() {\n if (root.Bokeh !== undefined || force === true) {\n for (let i = 0; i < inline_js.length; i++) {\n inline_js[i].call(root, root.Bokeh);\n }\nif (force === true) {\n display_loaded();\n }} else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n } else if (force !== true) {\n const cell = $(document.getElementById(\"1002\")).parents('.cell').data().cell;\n cell.output_area.append_execute_result(NB_LOAD_WARNING)\n }\n }\n\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n run_inline_js();\n } else {\n load_libs(css_urls, js_urls, function() {\n console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n run_inline_js();\n });\n }\n}(window));" }, "metadata": {}, "output_type": "display_data" } ], "source": [ "output_notebook()" ] }, { "cell_type": "markdown", "id": "1db589f7-ccf2-435e-9d2d-409251dd9dc3", "metadata": {}, "source": [ "## GitHub" ] }, { "cell_type": "code", "execution_count": 3, "id": "0a7abd61-24ed-46e1-9686-4af7333fbf76", "metadata": {}, "outputs": [], "source": [ "gh = utils.get_github_stars('sunpower/pvmismatch')" ] }, { "cell_type": "code", "execution_count": 4, "id": "23ab6b53-3aa0-4912-a1e9-a72af06fa48e", "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "
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utils.plot_github_stars_timeseries(gh)\n", "show(p)" ] }, { "cell_type": "code", "execution_count": 5, "id": "8bbbdf34-ed4c-4998-ab48-2dee29d127ae", "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "
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xHdEIAAIALr0d0QgAAQHEBSHRCAAAA11NIdEIAAMA8pkh0QgAAgKL4SHRCAABACEtJdEIAAABunUl0QgAAwNPvSXRCAACAOUJKdEIAAECflEp0QgAAAAXnSnRCAADAajlLdEIAAIDQi0t0QgAAQDbeS3RCAAAAnDBMdEIAAMABg0x0QgAAgGfVTHRCAABAzSdNdEIAAAAzek10QgAAwJjMTXRCAACA/h5OdEIAAEBkcU50QgAAAMrDTnRCAADALxZPdEIAAICVaE90QgAAQPu6T3RCAAAAYQ1QdEIAAMDGX1B0QgAAgCyyUHRCAABAkgRRdEIAAAD4VlF0QgAAwF2pUXRCAACAw/tRdEIAAEApTlJ0QgAAAI+gUnRCAADA9PJSdEIAAIBaRVN0QgAAQMCXU3RCAAAAJupTdEIAAMCLPFR0QgAAgPGOVHRCAABAV+FUdEIAAAC9M1V0QgAAwCKGVXRCAACAiNhVdEIAAEDuKlZ0QgAAAFR9VnRCAADAuc9WdEIAAIAfIld0QgAAQIV0V3RCAAAA68ZXdEIAAMBQGVh0QgAAgLZrWHRCAABAHL5YdEIAAACCEFl0QgAAwOdiWXRCAACATbVZdEIAAECzB1p0QgAAABlaWnRCAADAfqxadEIAAIDk/lp0QgAAQEpRW3RCAAAAsKNbdEIAAMAV9lt0QgAAgHtIXHRCAABA4ZpcdEIAAABH7Vx0QgAAwKw/XXRCAACAEpJddEIAAEB45F10QgAAAN42XnRCAADAQ4ledEIAAICp2150QgAAQA8uX3RCAAAAdYBfdEIAAMDa0l90QgAAgEAlYHRCAABApndgdEIAAAAMymB0QgAAwHEcYXRCAACA125hdEIAAEA9wWF0QgAAAKMTYnRCAADACGZidEIAAIBuuGJ0QgAAQNQKY3RCAAAAOl1jdEIAAMCfr2N0QgAAgAUCZHRCAABAa1RkdEIAAADRpmR0QgAAwDb5ZHRCAACAnEtldEIAAEACnmV0QgAAAGjwZXRCAADAzUJmdEIAAIAzlWZ0QgAAQJnnZnRCAAAA/zlndEIAAMBkjGd0QgAAgMreZ3RCAABAMDFodEIAAACWg2h0QgAAwPvVaHRCAACAYShpdEIAAEDHeml0QgAAAC3NaXRCAADAkh9qdEIAAID4cWp0QgAAQF7EanRCAAAAxBZrdEIAAMApaWt0QgAAgI+7a3RCAABA9Q1sdEIAAABbYGx0QgAAwMCybHRCAACAJgVtdEIAAECMV210QgAAAPKpbXRCAADAV/xtdEIAAIC9Tm50QgAAQCOhbnRCAAAAifNudEIAAMDuRW90QgAAgFSYb3RCAABAuupvdEIAAAAgPXB0QgAAwIWPcHRCAACA6+FwdEIAAEBRNHF0QgAAALeGcXRCAADAHNlxdEIAAICCK3J0QgAAQOh9cnRCAAAATtBydEIAAMCzInN0QgAAgBl1c3RCAABAf8dzdEIAAADlGXR0QgAAwEpsdHRCAACAsL50dEIAAEAWEXV0QgAAAHxjdXRCAADA4bV1dEIAAIBHCHZ0QgAAQK1adnRCAAAAE612dEIAAMB4/3Z0QgAAgN5Rd3RCAABARKR3dEIAAACq9nd0QgAAwA9JeHRCAACAdZt4dEIAAEDb7Xh0QgAAAEFAeXRCAADAppJ5dEIAAIAM5Xl0QgAAQHI3enRCAAAA2Il6dEIAAMA93Hp0QgAAgKMue3RCAABACYF7dEIAAABv03t0QgAAwNQlfHRCAACAOnh8dEIAAECgynx0QgAAAAYdfXRCAADAa299dEIAAIDRwX10QgAAQDcUfnRCAAAAnWZ+dEIAAMACuX50QgAAgGgLf3RCAABAzl1/dEIAAAA0sH90QgAAwJkCgHRCAACA/1SAdEIAAEBlp4B0QgAAAMv5gHRCAADAMEyBdEIAAICWnoF0QgAAQPzwgXRCAAAAYkOCdEIAAMDHlYJ0QgAAgC3ognRCAABAkzqDdEIAAAD5jIN0QgAAwF7fg3RCAACAxDGEdEIAAEAqhIR0QgAAAJDWhHRCAADA9SiFdEIAAIBbe4V0QgAAQMHNhXRCAAAAJyCGdEIAAMCMcoZ0QgAAgPLEhnRCAABAWBeHdEIAAAC+aYd0QgAAwCO8h3RCAACAiQ6IdEIAAEDvYIh0QgAAAFWziHRCAADAugWJdEIAAIAgWIl0QgAAQIaqiXRCAAAA7PyJdEIAAMBRT4p0QgAAgLehinRCAABAHfSKdEIAAACDRot0QgAAwOiYi3RCAACATuuLdEIAAEC0PYx0QgAAABqQjHRCAADAf+KMdEIAAIDlNI10QgAAQEuHjXRCAAAAsdmNdEIAAMAWLI50QgAAgHx+jnRCAABA4tCOdEIAAABII490QgAAwK11j3RCAACAE8iPdEIAAEB5GpB0QgAAAN9skHRCAADARL+QdEIAAICqEZF0QgAAQBBkkXRCAAAAdraRdEIAAMDbCJJ0QgAAgEFbknRCAABAp62SdEIAAAANAJN0QgAAwHJSk3RCAACA2KSTdEIAAEA+95N0QgAAAKRJlHRCAADACZyUdEIAAIBv7pR0QgAAQNVAlXRCAAAAO5OVdEIAAMCg5ZV0QgAAgAY4lnRCAABAbIqWdEIAAADS3JZ0QgAAwDcvl3RCAACAnYGXdEIAAEAD1Jd0QgAAAGkmmHRCAADAzniYdEIAAIA0y5h0QgAAQJodmXRCAAAAAHCZdEIAAMBlwpl0QgAAgMsUmnRCAABAMWeadEIAAACXuZp0QgAAwPwLm3RCAACAYl6bdEIAAEDIsJt0QgAAAC4DnHRCAADAk1WcdEIAAID5p5x0QgAAQF/6nHRCAAAAxUyddEIAAMAqn510QgAAgJDxnXRCAABA9kOedEIAAABclp50QgAAwMHonnRCAACAJzufdEIAAECNjZ90QgAAAPPfn3RCAADAWDKgdEIAAIC+hKB0QgAAQCTXoHRCAAAAiimhdEIAAMDve6F0QgAAgFXOoXRCAABAuyCidEIAAAAhc6J0QgAAwIbFonRCAACA7BejdEIAAEBSaqN0QgAAALi8o3RCAADAHQ+kdEIAAICDYaR0QgAAQOmzpHRCAAAATwaldEIAAMC0WKV0QgAAgBqrpXRCAABAgP2ldEIAAADmT6Z0QgAAwEuipnRCAACAsfSmdEIAAEAXR6d0QgAAAH2Zp3RCAADA4uundEIAAIBIPqh0QgAAQK6QqHRCAAAAFOOodEIAAMB5Nal0QgAAgN+HqXRCAABARdqpdEIAAACrLKp0QgAAwBB/qnRCAACAdtGqdEIAAEDcI6t0QgAAAEJ2q3RCAADAp8irdEIAAIANG6x0QgAAQHNtrHRCAAAA2b+sdEIAAMA+Eq10QgAAgKRkrXRCAABACretdEIAAABwCa50QgAAwNVbrnRCAACAO66udEIAAEChAK90QgAAAAdTr3RCAADAbKWvdEIAAIDS9690QgAAQDhKsHRCAAAAnpywdEIAAMAD77B0QgAAgGlBsXRCAABAz5OxdEIAAAA15rF0QgAAwJo4snRCAACAAIuydEIAAEBm3bJ0QgAAAMwvs3RCAADAMYKzdEIAAICX1LN0QgAAQP0mtHRCAAAAY3m0dEIAAMDIy7R0QgAAgC4etXRCAABAlHC1dEIAAAD6wrV0QgAAwF8VtnRCAACAxWe2dEIAAEArurZ0QgAAAJEMt3RCAADA9l63dEIAAIBcsbd0QgAAQMIDuHRCAAAAKFa4dEIAAMCNqLh0QgAAgPP6uHRCAABAWU25dEIAAAC/n7l0QgAAwCTyuXRCAACAikS6dEIAAEDwlrp0QgAAAFbpunRCAADAuzu7dEIAAIAhjrt0QgAAQIfgu3RCAAAA7TK8dEIAAMBShbx0QgAAgLjXvHRCAABAHiq9dEIAAACEfL10QgAAwOnOvXRCAACATyG+dEIAAEC1c750QgAAABvGvnRCAADAgBi/dEIAAIDmar90QgAAQEy9v3RCAAAAsg/AdEIAAMAXYsB0QgAAgH20wHRCAABA4wbBdEIAAABJWcF0QgAAwK6rwXRCAACAFP7BdEIAAEB6UMJ0QgAAAOCiwnRCAADARfXCdEIAAICrR8N0QgAAQBGaw3RCAAAAd+zDdEIAAMDcPsR0QgAAgEKRxHRCAABAqOPEdEIAAAAONsV0QgAAwHOIxXRCAACA2drFdEIAAEA/LcZ0QgAAAKV/xnRCAADACtLGdEIAAIBwJMd0QgAAQNZ2x3RCAAAAPMnHdEIAAMChG8h0QgAAgAduyHRCAABAbcDIdEIAAADTEsl0QgAAwDhlyXRCAACAnrfJdEIAAEAECsp0QgAAAGpcynRCAADAz67KdEIAAIA1Act0QgAAQJtTy3RCAAAAAabLdEIAAMBm+Mt0QgAAgMxKzHRCAABAMp3MdEIAAACY78x0QgAAwP1BzXRCAACAY5TNdEIAAEDJ5s10QgAAAC85znRCAADAlIvOdEIAAID63c50QgAAQGAwz3RCAAAAxoLPdEIAAMAr1c90QgAAgJEn0HRCAABA93nQdEIAAABdzNB0QgAAwMIe0XRCAACAKHHRdEIAAECOw9F0QgAAAPQV0nRCAADAWWjSdEIAAIC/utJ0QgAAQCUN03RCAAAAi1/TdEIAAMDwsdN0QgAAgFYE1HRCAABAvFbUdEIAAAAiqdR0QgAAwIf71HRCAACA7U3VdEIAAEBToNV0QgAAALny1XRCAADAHkXWdEIAAICEl9Z0QgAAQOrp1nRCAAAAUDzXdEIAAMC1jtd0QgAAgBvh13RCAABAgTPYdEIAAADnhdh0QgAAwEzY2HRCAACAsirZdEIAAEAYfdl0QgAAAH7P2XRCAADA4yHadEIAAIBJdNp0QgAAQK/G2nRCAAAAFRnbdEIAAMB6a9t0QgAAgOC923RCAABARhDcdEIAAACsYtx0QgAAwBG13HRCAACAdwfddEIAAEDdWd10QgAAAEOs3XRCAADAqP7ddEIAAIAOUd50QgAAQHSj3nRCAAAA2vXedEIAAMA/SN90QgAAgKWa33RCAABAC+3fdEIAAABxP+B0QgAAwNaR4HRCAACAPOTgdEIAAECiNuF0QgAAAAiJ4XRCAADAbdvhdEIAAIDTLeJ0QgAAQDmA4nRCAAAAn9LidEIAAMAEJeN0QgAAgGp343RCAABA0MnjdEIAAAA2HOR0QgAAwJtu5HRCAACAAcHkdEIAAEBnE+V0QgAAAM1l5XRCAADAMrjldEIAAICYCuZ0QgAAQP5c5nRCAAAAZK/mdEIAAMDJAed0QgAAgC9U53RCAABAlabndEIAAAD7+Od0QgAAwGBL6HRCAACAxp3odEIAAEAs8Oh0QgAAAJJC6XRCAADA95TpdEIAAIBd5+l0QgAAQMM56nRCAAAAKYzqdEIAAMCO3up0QgAAgPQw63RCAABAWoPrdEIAAADA1et0QgAAwCUo7HRCAACAi3rsdEIAAEDxzOx0QgAAAFcf7XRCAADAvHHtdEIAAIAixO10QgAAQIgW7nRCAAAA7mjudEIAAMBTu+50QgAAgLkN73RCAABAH2DvdEIAAACFsu90QgAAwOoE8HRCAACAUFfwdEIAAEC2qfB0QgAAABz88HRCAADAgU7xdEIAAIDnoPF0QgAAQE3z8XRCAAAAs0XydEIAAMAYmPJ0QgAAgH7q8nRCAABA5DzzdEIAAABKj/N0QgAAwK/h83RCAACAFTT0dEIAAEB7hvR0QgAAAOHY9HRCAADARiv1dEIAAICsffV0QgAAQBLQ9XRCAAAAeCL2dEIAAMDddPZ0QgAAgEPH9nRCAABAqRn3dEIAAAAPbPd0QgAAwHS+93RCAACA2hD4dEIAAEBAY/h0QgAAAKa1+HRCAADACwj5dEIAAIBxWvl0QgAAQNes+XRCAAAAPf/5dEIAAMCiUfp0QgAAgAik+nRCAABAbvb6dEIAAADUSPt0QgAAwDmb+3RCAACAn+37dEIAAEAFQPx0QgAAAGuS/HRCAADA0OT8dEIAAIA2N/10QgAAQJyJ/XRCAAAAAtz9dEIAAMBnLv50QgAAgM2A/nRCAABAM9P+dEIAAACZJf90QgAAwP53/3RCAACAZMr/dEIAAEDKHAB1QgAAADBvAHVCAADAlcEAdUIAAID7EwF1QgAAQGFmAXVCAAAAx7gBdUIAAMAsCwJ1QgAAgJJdAnVCAABA+K8CdUIAAABeAgN1QgAAwMNUA3VCAACAKacDdUIAAECP+QN1QgAAAPVLBHVCAADAWp4EdUIAAIDA8AR1QgAAQCZDBXVCAAAAjJUFdUIAAMDx5wV1QgAAgFc6BnVCAABAvYwGdUIAAAAj3wZ1QgAAwIgxB3VCAACA7oMHdUIAAEBU1gd1QgAAALooCHVCAADAH3sIdUIAAICFzQh1QgAAQOsfCXVCAAAAUXIJdUIAAMC2xAl1QgAAgBwXCnVCAABAgmkKdUIAAADouwp1QgAAwE0OC3VCAACAs2ALdUIAAEAZswt1QgAAAH8FDHVCAADA5FcMdUIAAIBKqgx1QgAAQLD8DHVCAAAAFk8NdUIAAMB7oQ11QgAAgOHzDXVCAABAR0YOdUIAAACtmA51QgAAwBLrDnVCAACAeD0PdUIAAEDejw91QgAAAETiD3VCAADAqTQQdUIAAIAPhxB1QgAAQHXZEHVCAAAA2ysRdUIAAMBAfhF1QgAAgKbQEXVCAABADCMSdUIAAABydRJ1QgAAwNfHEnVCAACAPRoTdUIAAECjbBN1QgAAAAm/E3VCAADAbhEUdUIAAIDUYxR1QgAAQDq2FHVCAAAAoAgVdUIAAMAFWxV1QgAAgGutFXVCAABA0f8VdUIAAAA3UhZ1QgAAwJykFnVCAACAAvcWdUIAAEBoSRd1QgAAAM6bF3VCAADAM+4XdUIAAICZQBh1QgAAQP+SGHVCAAAAZeUYdUIAAMDKNxl1QgAAgDCKGXVCAABAltwZdUIAAAD8Lhp1QgAAwGGBGnVCAACAx9MadUIAAEAtJht1QgAAAJN4G3VCAADA+MobdUIAAIBeHRx1QgAAQMRvHHVCAAAAKsIcdUIAAMCPFB11QgAAgPVmHXVCAABAW7kddUIAAADBCx51QgAAwCZeHnVCAACAjLAedUIAAEDyAh91QgAAAFhVH3VCAADAvacfdUIAAIAj+h91QgAAQIlMIHVCAAAA754gdUIAAMBU8SB1QgAAgLpDIXVCAABAIJYhdUIAAACG6CF1QgAAwOs6InVCAACAUY0idUIAAEC33yJ1QgAAAB0yI3VCAADAgoQjdUIAAIDo1iN1QgAAQE4pJHVCAAAAtHskdUIAAMAZziR1QgAAgH8gJXVCAABA5XIldUIAAABLxSV1QgAAwLAXJnVCAACAFmomdUIAAEB8vCZ1QgAAAOIOJ3VCAADAR2EndUIAAICtsyd1QgAAQBMGKHVCAAAAeVgodUIAAMDeqih1QgAAgET9KHVCAABAqk8pdUIAAAAQoil1QgAAwHX0KXVCAACA20YqdUIAAEBBmSp1QgAAAKfrKnVCAADADD4rdUIAAIBykCt1QgAAQNjiK3VCAAAAPjUsdUIAAMCjhyx1QgAAgAnaLHVCAABAbywtdUIAAADVfi11QgAAwDrRLXVCAACAoCMudUIAAEAGdi51QgAAAGzILnVCAADA0RovdUIAAIA3bS91QgAAQJ2/L3VCAAAAAxIwdUIAAMBoZDB1QgAAgM62MHVCAABANAkxdUIAAACaWzF1QgAAwP+tMXVCAACAZQAydUIAAEDLUjJ1QgAAADGlMnVCAADAlvcydUIAAID8STN1QgAAQGKcM3VCAAAAyO4zdUIAAMAtQTR1QgAAgJOTNHVCAABA+eU0dUIAAABfODV1QgAAwMSKNXVCAACAKt01dUIAAECQLzZ1QgAAAPaBNnVCAADAW9Q2dUIAAIDBJjd1QgAAQCd5N3VCAAAAjcs3dUIAAMDyHTh1QgAAgFhwOHVCAABAvsI4dUIAAAAkFTl1QgAAwIlnOXVCAACA77k5dUIAAEBVDDp1QgAAALteOnVCAADAILE6dUIAAICGAzt1QgAAQOxVO3VCAAAAUqg7dUIAAMC3+jt1QgAAgB1NPHVCAABAg588dUIAAADp8Tx1QgAAwE5EPXVCAACAtJY9dUIAAEAa6T11QgAAAIA7PnVCAADA5Y0+dUIAAIBL4D51QgAAQLEyP3VCAAAAF4U/dUIAAMB81z91QgAAgOIpQHVCAABASHxAdUIAAACuzkB1QgAAwBMhQXVCAACAeXNBdUIAAEDfxUF1QgAAAEUYQnVCAADAqmpCdUIAAIAQvUJ1QgAAQHYPQ3VCAAAA3GFDdUIAAMBBtEN1QgAAgKcGRHVCAABADVlEdUIAAABzq0R1QgAAwNj9RHVCAACAPlBFdUIAAECkokV1QgAAAAr1RXVCAADAb0dGdUIAAIDVmUZ1QgAAQDvsRnVCAAAAoT5HdUIAAMAGkUd1QgAAgGzjR3VCAABA0jVIdUIAAAA4iEh1QgAAwJ3aSHVCAACAAy1JdUIAAEBpf0l1QgAAAM/RSXVCAADANCRKdUIAAICadkp1QgAAQADJSnVCAAAAZhtLdUIAAMDLbUt1QgAAgDHAS3VCAABAlxJMdUIAAAD9ZEx1QgAAwGK3THVCAACAyAlNdUIAAEAuXE11QgAAAJSuTXVCAADA+QBOdUIAAIBfU051QgAAQMWlTnVCAAAAK/hOdUIAAMCQSk91QgAAgPacT3VCAABAXO9PdUIAAADCQVB1QgAAwCeUUHVCAACAjeZQdUIAAEDzOFF1QgAAAFmLUXVCAADAvt1RdUIAAIAkMFJ1QgAAQIqCUnVCAAAA8NRSdUIAAMBVJ1N1QgAAgLt5U3VCAABAIcxTdUIAAACHHlR1QgAAwOxwVHVCAACAUsNUdUIAAEC4FVV1QgAAAB5oVXVCAADAg7pVdUIAAIDpDFZ1QgAAQE9fVnVCAAAAtbFWdUIAAMAaBFd1QgAAgIBWV3VCAABA5qhXdUIAAABM+1d1QgAAwLFNWHVCAACAF6BYdUIAAEB98lh1QgAAAONEWXVCAADASJdZdUIAAICu6Vl1QgAAQBQ8WnVCAAAAeo5adUIAAMDf4Fp1QgAAgEUzW3VCAABAq4VbdUIAAAAR2Ft1QgAAwHYqXHVCAACA3HxcdUIAAEBCz1x1QgAAAKghXXVCAADADXRddUIAAIBzxl11QgAAQNkYXnVCAAAAP2tedUIAAMCkvV51QgAAgAoQX3VCAABAcGJfdUIAAADWtF91QgAAwDsHYHVCAACAoVlgdUIAAEAHrGB1QgAAAG3+YHVCAADA0lBhdUIAAIA4o2F1QgAAQJ71YXVCAAAABEhidUIAAMBpmmJ1QgAAgM/sYnVCAABANT9jdUIAAACbkWN1QgAAwADkY3VCAACAZjZkdUIAAEDMiGR1QgAAADLbZHVCAADAly1ldUIAAID9f2V1QgAAQGPSZXVCAAAAySRmdUIAAMAud2Z1QgAAgJTJZnVCAABA+htndUIAAABgbmd1QgAAwMXAZ3VCAACAKxNodUIAAECRZWh1QgAAAPe3aHVCAADAXAppdUIAAIDCXGl1QgAAQCivaXVCAAAAjgFqdUIAAMDzU2p1QgAAgFmmanVCAABAv/hqdUIAAAAlS2t1QgAAwIqda3VCAACA8O9rdUIAAEBWQmx1QgAAALyUbHVCAADAIedsdUIAAICHOW11QgAAQO2LbXVCAAAAU95tdUIAAMC4MG51QgAAgB6DbnVCAABAhNVudUIAAADqJ291QgAAwE96b3VCAACAtcxvdUIAAEAbH3B1QgAAAIFxcHVCAADA5sNwdUIAAIBMFnF1QgAAQLJocXVCAAAAGLtxdUIAAMB9DXJ1QgAAgONfcnVCAABASbJydUIAAACvBHN1QgAAwBRXc3VCAACAeqlzdUIAAEDg+3N1QgAAAEZOdHVCAADAq6B0dUIAAIAR83R1QgAAQHdFdXVCAAAA3Zd1dUIAAMBC6nV1QgAAgKg8dnVCAABADo92dUIAAAB04XZ1QgAAwNkzd3VCAACAP4Z3dUIAAECl2Hd1QgAAAAsreHVCAADAcH14dUIAAIDWz3h1QgAAQDwieXVCAAAAonR5dUIAAMAHx3l1QgAAgG0ZenVCAABA02t6dUIAAAA5vnp1QgAAwJ4Qe3VCAACABGN7dUIAAEBqtXt1QgAAANAHfHVCAADANVp8dUIAAICbrHx1QgAAQAH/fHVCAAAAZ1F9dUIAAMDMo311QgAAgDL2fXVCAABAmEh+dUIAAAD+mn51QgAAwGPtfnVCAACAyT9/dUIAAEAvkn91QgAAAJXkf3VCAADA+jaAdUIAAIBgiYB1QgAAQMbbgHVCAAAALC6BdUIAAMCRgIF1QgAAgPfSgXVCAABAXSWCdUIAAADDd4J1QgAAwCjKgnVCAACAjhyDdUIAAED0boN1QgAAAFrBg3VCAADAvxOEdUIAAIAlZoR1QgAAQIu4hHVCAAAA8QqFdUIAAMBWXYV1QgAAgLyvhXVCAABAIgKGdUIAAACIVIZ1QgAAwO2mhnVCAACAU/mGdUIAAEC5S4d1QgAAAB+eh3VCAADAhPCHdUIAAIDqQoh1QgAAQFCViHVCAAAAtueIdUIAAMAbOol1QgAAgIGMiXVCAABA596JdUIAAABNMYp1QgAAwLKDinVCAACAGNaKdUIAAEB+KIt1QgAAAOR6i3VCAADASc2LdUIAAICvH4x1QgAAQBVyjHVCAAAAe8SMdUIAAMDgFo11QgAAgEZpjXVCAABArLuNdUIAAAASDo51QgAAwHdgjnVCAACA3bKOdUIAAEBDBY91QgAAAKlXj3VCAADADqqPdUIAAIB0/I91QgAAQNpOkHVCAAAAQKGQdUIAAMCl85B1QgAAgAtGkXVCAABAcZiRdUIAAADX6pF1QgAAwDw9knVCAACAoo+SdUIAAEAI4pJ1QgAAAG40k3VCAADA04aTdUIAAIA52ZN1QgAAQJ8rlHVCAAAABX6UdUIAAMBq0JR1QgAAgNAilXVCAABANnWVdUIAAACcx5V1QgAAwAEalnVCAACAZ2yWdUIAAEDNvpZ1QgAAADMRl3VCAADAmGOXdUIAAID+tZd1QgAAQGQImHVCAAAAylqYdUIAAMAvrZh1QgAAgJX/mHVCAABA+1GZdUIAAABhpJl1QgAAwMb2mXVCAACALEmadUIAAECSm5p1QgAAAPjtmnVCAADAXUCbdUIAAIDDkpt1QgAAQCnlm3VCAAAAjzecdUIAAMD0iZx1QgAAgFrcnHVCAABAwC6ddUIAAAAmgZ11QgAAwIvTnXVCAACA8SWedUIAAEBXeJ51QgAAAL3KnnVCAADAIh2fdUIAAICIb591QgAAQO7Bn3VCAAAAVBSgdUIAAMC5ZqB1QgAAgB+5oHVCAABAhQuhdUIAAADrXaF1QgAAwFCwoXVCAACAtgKidUIAAEAcVaJ1QgAAAIKnonVCAADA5/midUIAAIBNTKN1QgAAQLOeo3VCAAAAGfGjdUIAAMB+Q6R1QgAAgOSVpHVCAABASuikdUIAAACwOqV1QgAAwBWNpXVCAACAe9+ldUIAAEDhMaZ1QgAAAEeEpnVCAADArNamdUIAAIASKad1QgAAQHh7p3VCAAAA3s2ndUIAAMBDIKh1QgAAgKlyqHVCAABAD8WodUIAAAB1F6l1QgAAwNppqXVCAACAQLypdUIAAECmDqp1QgAAAAxhqnVCAADAcbOqdUIAAIDXBat1QgAAQD1Yq3VCAAAAo6qrdUIAAMAI/at1QgAAgG5PrHVCAABA1KGsdUIAAAA69Kx1QgAAwJ9GrXVCAACABZmtdUIAAEBr6611QgAAANE9rnVCAADANpCudUIAAICc4q51QgAAQAI1r3VCAAAAaIevdUIAAMDN2a91QgAAgDMssHVCAABAmX6wdUIAAAD/0LB1QgAAwGQjsXVCAACAynWxdUIAAEAwyLF1QgAAAJYasnVCAADA+2yydUIAAIBhv7J1QgAAQMcRs3VCAAAALWSzdUIAAMCStrN1QgAAgPgItHVCAABAXlu0dUIAAADErbR1QgAAwCkAtXVCAACAj1K1dUIAAED1pLV1QgAAAFv3tXVCAADAwEm2dUIAAIAmnLZ1QgAAQIzutnVCAAAA8kC3dUIAAMBXk7d1QgAAgL3lt3VCAABAIzi4dUIAAACJirh1QgAAwO7cuHVCAACAVC+5dUIAAEC6gbl1QgAAACDUuXVCAADAhSa6dUIAAIDreLp1QgAAQFHLunVCAAAAtx27dUIAAMAccLt1QgAAgILCu3VCAABA6BS8dUIAAABOZ7x1QgAAwLO5vHVCAACAGQy9dUIAAEB/Xr11QgAAAOWwvXVCAADASgO+dUIAAICwVb51QgAAQBaovnVCAAAAfPq+dUIAAMDhTL91QgAAgEefv3VCAABArfG/dUIAAAATRMB1QgAAwHiWwHVCAACA3ujAdUIAAEBEO8F1QgAAAKqNwXVCAADAD+DBdUIAAIB1MsJ1QgAAQNuEwnVCAAAAQdfCdUIAAMCmKcN1QgAAgAx8w3VCAABAcs7DdUIAAADYIMR1QgAAwD1zxHVCAACAo8XEdUIAAEAJGMV1QgAAAG9qxXVCAADA1LzFdUIAAIA6D8Z1QgAAQKBhxnVCAAAABrTGdUIAAMBrBsd1QgAAgNFYx3VCAABAN6vHdUIAAACd/cd1QgAAwAJQyHVCAACAaKLIdUIAAEDO9Mh1QgAAADRHyXVCAADAmZnJdUIAAID/68l1QgAAQGU+ynVCAAAAy5DKdUIAAMAw48p1QgAAgJY1y3VCAABA/IfLdUIAAABi2st1QgAAwMcszHVCAACALX/MdUIAAECT0cx1QgAAAPkjzXVCAADAXnbNdUIAAIDEyM11QgAAQCobznVCAAAAkG3OdUIAAMD1v851QgAAgFsSz3VCAABAwWTPdUIAAAAnt891QgAAwIwJ0HVCAACA8lvQdUIAAEBYrtB1QgAAAL4A0XVCAADAI1PRdUIAAICJpdF1QgAAQO/30XVCAAAAVUrSdUIAAMC6nNJ1QgAAgCDv0nVCAABAhkHTdUIAAADsk9N1QgAAwFHm03VCAACAtzjUdUIAAEAdi9R1QgAAAIPd1HVCAADA6C/VdUIAAIBOgtV1QgAAQLTU1XVCAAAAGifWdUIAAMB/edZ1QgAAgOXL1nVCAABASx7XdUIAAACxcNd1QgAAwBbD13VCAACAfBXYdUIAAEDiZ9h1QgAAAEi62HVCAADArQzZdUIAAIATX9l1QgAAQHmx2XVCAAAA3wPadUIAAMBEVtp1QgAAgKqo2nVCAABAEPvadUIAAAB2Tdt1QgAAwNuf23VCAACAQfLbdUIAAECnRNx1QgAAAA2X3HVCAADAcuncdUIAAIDYO911QgAAQD6O3XVCAAAApODddUIAAMAJM951QgAAgG+F3nVCAABA1dfedUIAAAA7Kt91QgAAwKB833VCAACABs/fdUIAAEBsIeB1QgAAANJz4HVCAADAN8bgdUIAAICdGOF1QgAAQANr4XVCAAAAab3hdUIAAMDOD+J1QgAAgDRi4nVCAABAmrTidUIAAAAAB+N1QgAAwGVZ43VCAACAy6vjdUIAAEAx/uN1QgAAAJdQ5HVCAADA/KLkdUIAAIBi9eR1QgAAQMhH5XVCAAAALprldUIAAMCT7OV1QgAAgPk+5nVCAABAX5HmdUIAAADF4+Z1QgAAwCo253VCAACAkIjndUIAAED22ud1QgAAAFwt6HVCAADAwX/odUIAAIAn0uh1QgAAQI0k6XVCAAAA83bpdUIAAMBYyel1QgAAgL4b6nVCAABAJG7qdUIAAACKwOp1QgAAwO8S63VCAACAVWXrdUIAAEC7t+t1QgAAACEK7HVCAADAhlzsdUIAAIDsrux1QgAAQFIB7XVCAAAAuFPtdUIAAMAdpu11QgAAgIP47XVCAABA6UrudUIAAABPne51QgAAwLTv7nVCAACAGkLvdUIAAECAlO91QgAAAObm73VCAADASznwdUIAAICxi/B1QgAAQBfe8HVCAAAAfTDxdUIAAMDigvF1QgAAgEjV8XVCAABArifydUIAAAAUevJ1QgAAwHnM8nVCAACA3x7zdUIAAEBFcfN1QgAAAKvD83VCAADAEBb0dUIAAIB2aPR1QgAAQNy69HVCAAAAQg31dUIAAMCnX/V1QgAAgA2y9XVCAABAcwT2dUIAAADZVvZ1QgAAwD6p9nVCAACApPv2dUIAAEAKTvd1QgAAAHCg93VCAADA1fL3dUIAAIA7Rfh1QgAAQKGX+HVCAAAAB+r4dUIAAMBsPPl1QgAAgNKO+XVCAABAOOH5dUIAAACeM/p1QgAAwAOG+nVCAACAadj6dUIAAEDPKvt1QgAAADV9+3VCAADAms/7dUIAAIAAIvx1QgAAQGZ0/HVCAAAAzMb8dUIAAMAxGf11QgAAgJdr/XVCAABA/b39dUIAAABjEP51QgAAwMhi/nVCAACALrX+dUIAAECUB/91QgAAAPpZ/3VCAADAX6z/dUIAAIDF/v91QgAAQCtRAHZCAAAAkaMAdkIAAMD29QB2QgAAgFxIAXZCAABAwpoBdkIAAAAo7QF2QgAAwI0/AnZCAACA85ECdkIAAEBZ5AJ2QgAAAL82A3ZCAADAJIkDdkIAAICK2wN2QgAAQPAtBHZCAAAAVoAEdkIAAMC70gR2QgAAgCElBXZCAABAh3cFdkIAAADtyQV2QgAAwFIcBnZCAACAuG4GdkIAAEAewQZ2QgAAAIQTB3ZCAADA6WUHdkIAAIBPuAd2QgAAQLUKCHZCAAAAG10IdkIAAMCArwh2QgAAgOYBCXZCAABATFQJdkIAAACypgl2QgAAwBf5CXZCAACAfUsKdkIAAEDjnQp2QgAAAEnwCnZCAADArkILdkIAAIAUlQt2QgAAQHrnC3ZCAAAA4DkMdkIAAMBFjAx2QgAAgKveDHZCAABAETENdkIAAAB3gw12QgAAwNzVDXZCAACAQigOdkIAAECoeg52QgAAAA7NDnZCAADAcx8PdkIAAIDZcQ92QgAAQD/ED3ZCAAAApRYQdkIAAMAKaRB2QgAAgHC7EHZCAABA1g0RdkIAAAA8YBF2QgAAwKGyEXZCAACABwUSdkIAAEBtVxJ2QgAAANOpEnZCAADAOPwSdkIAAICeThN2QgAAQAShE3ZCAAAAavMTdkIAAMDPRRR2QgAAgDWYFHZCAABAm+oUdkIAAAABPRV2QgAAwGaPFXZCAACAzOEVdkIAAEAyNBZ2QgAAAJiGFnZCAADA/dgWdkIAAIBjKxd2QgAAQMl9F3ZCAAAAL9AXdkIAAMCUIhh2QgAAgPp0GHZCAABAYMcYdkIAAADGGRl2QgAAwCtsGXZCAACAkb4ZdkIAAED3EBp2QgAAAF1jGnZCAADAwrUadkIAAIAoCBt2QgAAQI5aG3ZCAAAA9KwbdkIAAMBZ/xt2QgAAgL9RHHZCAABAJaQcdkIAAACL9hx2QgAAwPBIHXZCAACAVpsddkIAAEC87R12QgAAACJAHnZCAADAh5IedkIAAIDt5B52QgAAQFM3H3ZCAAAAuYkfdkIAAMAe3B92QgAAgIQuIHZCAABA6oAgdkIAAABQ0yB2QgAAwLUlIXZCAACAG3ghdkIAAECByiF2QgAAAOccInZCAADATG8idkIAAICywSJ2QgAAQBgUI3ZCAAAAfmYjdkIAAMDjuCN2QgAAgEkLJHZCAABAr10kdkIAAAAVsCR2QgAAwHoCJXZCAACA4FQldkIAAEBGpyV2QgAAAKz5JXZCAADAEUwmdkIAAIB3niZ2QgAAQN3wJnZCAAAAQ0MndkIAAMColSd2QgAAgA7oJ3ZCAABAdDoodkIAAADajCh2QgAAwD/fKHZCAACApTEpdkIAAEALhCl2QgAAAHHWKXZCAADA1igqdkIAAIA8eyp2QgAAQKLNKnZCAAAACCArdkIAAMBtcit2QgAAgNPEK3ZCAABAORcsdkIAAACfaSx2QgAAwAS8LHZCAACAag4tdkIAAEDQYC12QgAAADazLXZCAADAmwUudkIAAIABWC52QgAAQGeqLnZCAAAAzfwudkIAAMAyTy92QgAAgJihL3ZCAABA/vMvdkIAAABkRjB2QgAAwMmYMHZCAACAL+swdkIAAECVPTF2QgAAAPuPMXZCAADAYOIxdkIAAIDGNDJ2QgAAQCyHMnZCAAAAktkydkIAAMD3KzN2QgAAgF1+M3ZCAABAw9AzdkIAAAApIzR2QgAAwI51NHZCAACA9Mc0dkIAAEBaGjV2QgAAAMBsNXZCAADAJb81dkIAAICLETZ2QgAAQPFjNnZCAAAAV7Y2dkIAAMC8CDd2QgAAgCJbN3ZCAABAiK03dkIAAADu/zd2QgAAwFNSOHZCAACAuaQ4dkIAAEAf9zh2QgAAAIVJOXZCAADA6ps5dkIAAIBQ7jl2QgAAQLZAOnZCAAAAHJM6dkIAAMCB5Tp2QgAAgOc3O3ZCAABATYo7dkIAAACz3Dt2QgAAwBgvPHZCAACAfoE8dkIAAEDk0zx2QgAAAEomPXZCAADAr3g9dkIAAIAVyz12QgAAQHsdPnZCAAAA4W8+dkIAAMBGwj52QgAAgKwUP3ZCAABAEmc/dkIAAAB4uT92QgAAwN0LQHZCAACAQ15AdkIAAECpsEB2QgAAAA8DQXZCAADAdFVBdkIAAIDap0F2QgAAQED6QXZCAAAApkxCdkIAAMALn0J2QgAAgHHxQnZCAABA10NDdkIAAAA9lkN2QgAAwKLoQ3ZCAACACDtEdkIAAEBujUR2QgAAANTfRHZCAADAOTJFdkIAAICfhEV2QgAAQAXXRXZCAAAAaylGdkIAAMDQe0Z2QgAAgDbORnZCAABAnCBHdkIAAAACc0d2QgAAwGfFR3ZCAACAzRdIdkIAAEAzakh2QgAAAJm8SHZCAADA/g5JdkIAAIBkYUl2QgAAQMqzSXZCAAAAMAZKdkIAAMCVWEp2QgAAgPuqSnZCAABAYf1KdkIAAADHT0t2QgAAwCyiS3ZCAACAkvRLdkIAAED4Rkx2QgAAAF6ZTHZCAADAw+tMdkIAAIApPk12QgAAQI+QTXZCAAAA9eJNdkIAAMBaNU52QgAAgMCHTnZCAABAJtpOdkIAAACMLE92QgAAwPF+T3ZCAACAV9FPdkIAAEC9I1B2QgAAACN2UHZCAADAiMhQdkIAAIDuGlF2QgAAQFRtUXZCAAAAur9RdkIAAMAfElJ2QgAAgIVkUnZCAABA67ZSdkIAAABRCVN2QgAAwLZbU3ZCAACAHK5TdkIAAECCAFR2QgAAAOhSVHZCAADATaVUdkIAAICz91R2QgAAQBlKVXZCAAAAf5xVdkIAAMDk7lV2QgAAgEpBVnZCAABAsJNWdkIAAAAW5lZ2QgAAwHs4V3ZCAACA4YpXdkIAAEBH3Vd2QgAAAK0vWHZCAADAEoJYdkIAAIB41Fh2QgAAQN4mWXZCAAAARHlZdkIAAMCpy1l2QgAAgA8eWnZCAABAdXBadkIAAADbwlp2QgAAwEAVW3ZCAACApmdbdkIAAEAMult2QgAAAHIMXHZCAADA115cdkIAAIA9sVx2QgAAQKMDXXZCAAAACVZddkIAAMBuqF12QgAAgNT6XXZCAABAOk1edkIAAACgn152QgAAwAXyXnZCAACAa0RfdkIAAEDRll92QgAAADfpX3ZCAADAnDtgdkIAAIACjmB2QgAAQGjgYHZCAAAAzjJhdkIAAMAzhWF2QgAAgJnXYXZCAABA/ylidkIAAABlfGJ2QgAAwMrOYnZCAACAMCFjdkIAAECWc2N2QgAAAPzFY3ZCAADAYRhkdkIAAIDHamR2QgAAQC29ZHZCAAAAkw9ldkIAAMD4YWV2QgAAgF60ZXZCAABAxAZmdkIAAAAqWWZ2QgAAwI+rZnZCAACA9f1mdkIAAEBbUGd2QgAAAMGiZ3ZCAADAJvVndkIAAICMR2h2QgAAQPKZaHZCAAAAWOxodkIAAMC9Pml2QgAAgCORaXZCAABAieNpdkIAAADvNWp2QgAAwFSIanZCAACAutpqdkIAAEAgLWt2QgAAAIZ/a3ZCAADA69FrdkIAAIBRJGx2QgAAQLd2bHZCAAAAHclsdkIAAMCCG212QgAAgOhtbXZCAABATsBtdkIAAAC0Em52QgAAwBllbnZCAACAf7dudkIAAEDlCW92QgAAAEtcb3ZCAADAsK5vdkIAAIAWAXB2QgAAQHxTcHZCAAAA4qVwdkIAAMBH+HB2QgAAgK1KcXZCAABAE51xdkIAAAB573F2QgAAwN5BcnZCAACARJRydkIAAECq5nJ2QgAAABA5c3ZCAADAdYtzdkIAAIDb3XN2QgAAQEEwdHZCAAAAp4J0dkIAAMAM1XR2QgAAgHIndXZCAABA2Hl1dkIAAAA+zHV2QgAAwKMednZCAACACXF2dkIAAEBvw3Z2QgAAANUVd3ZCAADAOmh3dkIAAICgund2QgAAQAYNeHZCAAAAbF94dkIAAMDRsXh2QgAAgDcEeXZCAABAnVZ5dkIAAAADqXl2QgAAwGj7eXZCAACAzk16dkIAAEA0oHp2QgAAAJryenZCAADA/0R7dkIAAIBll3t2QgAAQMvpe3ZCAAAAMTx8dkIAAMCWjnx2QgAAgPzgfHZCAABAYjN9dkIAAADIhX12QgAAwC3YfXZCAACAkyp+dkIAAED5fH52QgAAAF/PfnZCAADAxCF/dkIAAIAqdH92QgAAQJDGf3ZCAAAA9hiAdkIAAMBba4B2QgAAgMG9gHZCAABAJxCBdkIAAACNYoF2QgAAwPK0gXZCAACAWAeCdkIAAEC+WYJ2QgAAACSsgnZCAADAif6CdkIAAIDvUIN2QgAAQFWjg3ZCAAAAu/WDdkIAAMAgSIR2QgAAgIaahHZCAABA7OyEdkIAAABSP4V2QgAAwLeRhXZCAACAHeSFdkIAAECDNoZ2QgAAAOmIhnZCAADATtuGdkIAAIC0LYd2QgAAQBqAh3ZCAAAAgNKHdkIAAMDlJIh2QgAAgEt3iHZCAABAscmIdkIAAAAXHIl2QgAAwHxuiXZCAACA4sCJdkIAAEBIE4p2QgAAAK5linZCAADAE7iKdkIAAIB5Cot2QgAAQN9ci3ZCAAAARa+LdkIAAMCqAYx2QgAAgBBUjHZCAABAdqaMdkIAAADc+Ix2QgAAwEFLjXZCAACAp52NdkIAAEAN8I12QgAAAHNCjnZCAADA2JSOdkIAAIA+5452QgAAQKQ5j3ZCAAAACoyPdkIAAMBv3o92QgAAgNUwkHZCAABAO4OQdkIAAACh1ZB2QgAAwAYokXZCAACAbHqRdkIAAEDSzJF2QgAAADgfknZCAADAnXGSdkIAAIADxJJ2QgAAQGkWk3ZCAAAAz2iTdkIAAMA0u5N2QgAAgJoNlHZCAABAAGCUdkIAAABmspR2QgAAwMsElXZCAACAMVeVdkIAAECXqZV2QgAAAP37lXZCAADAYk6WdkIAAIDIoJZ2QgAAQC7zlnZCAAAAlEWXdkIAAMD5l5d2QgAAgF/ql3ZCAABAxTyYdkIAAAArj5h2QgAAwJDhmHZCAACA9jOZdkIAAEBchpl2QgAAAMLYmXZCAADAJyuadkIAAICNfZp2QgAAQPPPmnZCAAAAWSKbdkIAAMC+dJt2QgAAgCTHm3ZCAABAihmcdkIAAADwa5x2QgAAwFW+nHZCAACAuxCddkIAAEAhY512QgAAAIe1nXZCAADA7AeedkIAAIBSWp52QgAAQLisnnZCAAAAHv+edkIAAMCDUZ92QgAAgOmjn3ZCAABAT/afdkIAAAC1SKB2QgAAwBqboHZCAACAgO2gdkIAAEDmP6F2QgAAAEySoXZCAADAseShdkIAAIAXN6J2QgAAQH2JonZCAAAA49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Contributors\",\"coordinates\":null,\"formatter\":{\"id\":\"1245\"},\"group\":null,\"major_label_policy\":{\"id\":\"1246\"},\"ticker\":{\"id\":\"1194\"}},\"id\":\"1193\",\"type\":\"LinearAxis\"},{\"attributes\":{\"axis\":{\"id\":\"1189\"},\"coordinates\":null,\"group\":null,\"ticker\":null},\"id\":\"1192\",\"type\":\"Grid\"},{\"attributes\":{\"coordinates\":null,\"data_source\":{\"id\":\"1213\"},\"glyph\":{\"id\":\"1214\"},\"group\":null,\"hover_glyph\":null,\"muted_glyph\":{\"id\":\"1216\"},\"nonselection_glyph\":{\"id\":\"1215\"},\"view\":{\"id\":\"1218\"}},\"id\":\"1217\",\"type\":\"GlyphRenderer\"}],\"root_ids\":[\"1180\"]},\"title\":\"Bokeh Application\",\"version\":\"2.4.3\"}};\n", " const render_items = [{\"docid\":\"e67b7206-12b6-48bd-a151-593781daae5c\",\"root_ids\":[\"1180\"],\"roots\":{\"1180\":\"2d1f9ed6-f01e-439f-bea3-b498b63cbe90\"}}];\n", " root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n", " }\n", " if (root.Bokeh !== undefined) {\n", " embed_document(root);\n", " } else {\n", " let attempts = 0;\n", " const timer = setInterval(function(root) {\n", " if (root.Bokeh !== undefined) {\n", " clearInterval(timer);\n", " embed_document(root);\n", " } else {\n", " attempts++;\n", " if (attempts > 100) {\n", " clearInterval(timer);\n", " console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n", " }\n", " }\n", " }, 10, root)\n", " }\n", "})(window);" ], "application/vnd.bokehjs_exec.v0+json": "" }, "metadata": { "application/vnd.bokehjs_exec.v0+json": { "id": "1180" } }, "output_type": "display_data" } ], "source": [ "contributor_ts, _ = utils.get_github_contributor_timeseries(\"sunpower/pvmismatch\")\n", "p = utils.plot_github_contributors_timeseries(contributor_ts)\n", "show(p)" ] }, { "cell_type": "code", "execution_count": 6, "id": "0d657d75-ecf0-4aa7-8d10-41cfa3704913", "metadata": {}, "outputs": [], "source": [ "contributors = utils.get_github_contributors('sunpower/pvmismatch')" ] }, { "cell_type": "code", "execution_count": 7, "id": "1e11bac3-2d3b-4585-ade3-782fab345108", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "mosaic = utils.make_github_contributors_mosaic(contributors)\n", "mosaic" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.12" } }, "nbformat": 4, "nbformat_minor": 5 }