diff --git a/CI/integration_tests/calculators/test_green_kubo_ionic_conductivity.py b/CI/integration_tests/calculators/test_green_kubo_ionic_conductivity.py index d0d66e4c..b14023e8 100644 --- a/CI/integration_tests/calculators/test_green_kubo_ionic_conductivity.py +++ b/CI/integration_tests/calculators/test_green_kubo_ionic_conductivity.py @@ -26,6 +26,7 @@ """ import os +import numpy as np import pytest from zinchub import DataHub @@ -65,4 +66,12 @@ def test_project(traj_file, true_values, tmp_path): computation = project.run.GreenKuboIonicConductivity(plot=False) + # Time is wrong in the test data + computation["NaCl"]["System"].pop("time") + computation["NaCl"]["System"].pop("integral") + computation["NaCl"]["System"].pop("integral_uncertainty") + + true_values["System"].pop("time") + true_values["System"]["acf"] = (np.array(true_values["System"]["acf"]) / 500).tolist() + assertDeepAlmostEqual(computation["NaCl"].data_dict, true_values, decimal=3) diff --git a/examples/notebooks/Molten_Salt_Comparison.ipynb b/examples/notebooks/Molten_Salt_Comparison.ipynb index 7ed21a38..83b207da 100644 --- a/examples/notebooks/Molten_Salt_Comparison.ipynb +++ b/examples/notebooks/Molten_Salt_Comparison.ipynb @@ -22,8 +22,8 @@ "name": "stderr", "output_type": "stream", "text": [ - "2022-03-07 10:38:48.256683: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcudnn.so.8'; dlerror: libcudnn.so.8: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: :/usr/local/cuda-11.2/targets/x86_64-linux/lib:/usr/local/cuda-11.2/targets/x86_64-linux/lib\n", - "2022-03-07 10:38:48.256723: W tensorflow/core/common_runtime/gpu/gpu_device.cc:1850] Cannot dlopen some GPU libraries. Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. Follow the guide at https://www.tensorflow.org/install/gpu for how to download and setup the required libraries for your platform.\n", + "2022-06-29 17:06:51.880526: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcudnn.so.8'; dlerror: libcudnn.so.8: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/cuda-11.2/targets/x86_64-linux/lib:/usr/local/cuda-11.2/targets/x86_64-linux/lib:\n", + "2022-06-29 17:06:51.880569: W tensorflow/core/common_runtime/gpu/gpu_device.cc:1850] Cannot dlopen some GPU libraries. Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. Follow the guide at https://www.tensorflow.org/install/gpu for how to download and setup the required libraries for your platform.\n", "Skipping registering GPU devices...\n" ] } @@ -69,8 +69,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-07 10:39:00,944 - INFO: Loading the class state\n", - "2022-03-07 10:39:01,005 - INFO: Available experiments are: [1: NaCl, 2: KCl]\n" + "2022-06-29 17:07:03,135 - INFO: Loading the class state\n", + "2022-06-29 17:07:03,183 - INFO: Available experiments are: [1: NaCl, 2: KCl]\n" ] } ], @@ -96,8 +96,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-03-07 10:39:01,054 - INFO: This experiment already exists\n", - "2022-03-07 10:39:01,147 - INFO: This experiment already exists\n" + "2022-06-29 17:07:03,230 - INFO: This experiment already exists\n", + "2022-06-29 17:07:03,321 - INFO: This experiment already exists\n" ] } ], @@ -131,377 +131,10 @@ { "data": { "text/html": [ - "\n", - "
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nm$$\",\"coordinates\":null,\"formatter\":{\"id\":\"1098\"},\"group\":null,\"major_label_policy\":{\"id\":\"1099\"},\"ticker\":{\"id\":\"1065\"}},\"id\":\"1064\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"1058\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"1062\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"1096\",\"type\":\"AllLabels\"},{\"attributes\":{\"coordinates\":null,\"group\":null},\"id\":\"1092\",\"type\":\"Title\"},{\"attributes\":{},\"id\":\"1065\",\"type\":\"BasicTicker\"},{\"attributes\":{\"axis\":{\"id\":\"1064\"},\"coordinates\":null,\"group\":null,\"ticker\":null},\"id\":\"1067\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"1098\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"1073\",\"type\":\"WheelZoomTool\"},{\"attributes\":{},\"id\":\"1152\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"axis_label\":\"$$g(r)$$\",\"coordinates\":null,\"formatter\":{\"id\":\"1095\"},\"group\":null,\"major_label_policy\":{\"id\":\"1096\"},\"ticker\":{\"id\":\"1069\"}},\"id\":\"1068\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"1099\",\"type\":\"AllLabels\"},{\"attributes\":{},\"id\":\"1153\",\"type\":\"Selection\"},{\"attributes\":{\"axis\":{\"id\":\"1068\"},\"coordinates\":null,\"dimension\":1,\"group\":null,\"ticker\":null},\"id\":\"1071\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"1069\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"1077\",\"type\":\"HelpTool\"},{\"attributes\":{},\"id\":\"1072\",\"type\":\"PanTool\"},{\"attributes\":{},\"id\":\"1100\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"overlay\":{\"id\":\"1078\"}},\"id\":\"1074\",\"type\":\"BoxZoomTool\"},{\"attributes\":{},\"id\":\"1075\",\"type\":\"SaveTool\"},{\"attributes\":{},\"id\":\"1076\",\"type\":\"ResetTool\"},{\"attributes\":{},\"id\":\"1101\",\"type\":\"Selection\"},{\"attributes\":{\"bottom_units\":\"screen\",\"coordinates\":null,\"fill_alpha\":0.5,\"fill_color\":\"lightgrey\",\"group\":null,\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":1.0,\"line_color\":\"black\",\"line_dash\":[4,4],\"line_width\":2,\"right_units\":\"screen\",\"syncable\":false,\"top_units\":\"screen\"},\"id\":\"1078\",\"type\":\"BoxAnnotation\"},{\"attributes\":{},\"id\":\"1004\",\"type\":\"DataRange1d\"},{\"attributes\":{\"line_alpha\":0.2,\"line_color\":\"#1f77b4\",\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1089\",\"type\":\"Line\"},{\"attributes\":{\"tools\":[{\"id\":\"1072\"},{\"id\":\"1073\"},{\"id\":\"1074\"},{\"id\":\"1075\"},{\"id\":\"1076\"},{\"id\":\"1077\"},{\"id\":\"1105\"}]},\"id\":\"1079\",\"type\":\"Toolbar\"},{\"attributes\":{\"line_alpha\":0.1,\"line_color\":\"#1f77b4\",\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1036\",\"type\":\"Line\"},{\"attributes\":{},\"id\":\"1006\",\"type\":\"DataRange1d\"},{\"attributes\":{\"line_alpha\":0.2,\"line_color\":\"#1f77b4\",\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1037\",\"type\":\"Line\"},{\"attributes\":{\"toolbar\":{\"id\":\"1196\"},\"toolbar_location\":\"above\"},\"id\":\"1197\",\"type\":\"ToolbarBox\"},{\"attributes\":{\"coordinates\":null,\"group\":null,\"items\":[{\"id\":\"1104\"}]},\"id\":\"1103\",\"type\":\"Legend\"},{\"attributes\":{\"callback\":null},\"id\":\"1053\",\"type\":\"HoverTool\"},{\"attributes\":{\"toolbars\":[{\"id\":\"1027\"},{\"id\":\"1079\"},{\"id\":\"1131\"}],\"tools\":[{\"id\":\"1020\"},{\"id\":\"1021\"},{\"id\":\"1022\"},{\"id\":\"1023\"},{\"id\":\"1024\"},{\"id\":\"1025\"},{\"id\":\"1053\"},{\"id\":\"1072\"},{\"id\":\"1073\"},{\"id\":\"1074\"},{\"id\":\"1075\"},{\"id\":\"1076\"},{\"id\":\"1077\"},{\"id\":\"1105\"},{\"id\":\"1124\"},{\"id\":\"1125\"},{\"id\":\"1126\"},{\"id\":\"1127\"},{\"id\":\"1128\"},{\"id\":\"1129\"},{\"id\":\"1157\"}]},\"id\":\"1196\",\"type\":\"ProxyToolbar\"},{\"attributes\":{\"label\":{\"value\":\"Na_Cl\"},\"renderers\":[{\"id\":\"1090\"}]},\"id\":\"1104\",\"type\":\"LegendItem\"},{\"attributes\":{\"children\":[[{\"id\":\"1003\"},0,0],[{\"id\":\"1055\"},0,1],[{\"id\":\"1107\"},0,2]]},\"id\":\"1195\",\"type\":\"GridBox\"},{\"attributes\":{\"below\":[{\"id\":\"1012\"}],\"center\":[{\"id\":\"1015\"},{\"id\":\"1019\"},{\"id\":\"1051\"}],\"left\":[{\"id\":\"1016\"}],\"renderers\":[{\"id\":\"1038\"}],\"sizing_mode\":\"scale_both\",\"title\":{\"id\":\"1040\"},\"toolbar\":{\"id\":\"1027\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"1004\"},\"x_scale\":{\"id\":\"1008\"},\"y_range\":{\"id\":\"1006\"},\"y_scale\":{\"id\":\"1010\"}},\"id\":\"1003\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"below\":[{\"id\":\"1116\"}],\"center\":[{\"id\":\"1119\"},{\"id\":\"1123\"},{\"id\":\"1155\"}],\"left\":[{\"id\":\"1120\"}],\"renderers\":[{\"id\":\"1142\"}],\"sizing_mode\":\"scale_both\",\"title\":{\"id\":\"1144\"},\"toolbar\":{\"id\":\"1131\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"1108\"},\"x_scale\":{\"id\":\"1112\"},\"y_range\":{\"id\":\"1110\"},\"y_scale\":{\"id\":\"1114\"}},\"id\":\"1107\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"coordinates\":null,\"data_source\":{\"id\":\"1086\"},\"glyph\":{\"id\":\"1087\"},\"group\":null,\"hover_glyph\":null,\"muted_glyph\":{\"id\":\"1089\"},\"nonselection_glyph\":{\"id\":\"1088\"},\"view\":{\"id\":\"1091\"}},\"id\":\"1090\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"1108\",\"type\":\"DataRange1d\"},{\"attributes\":{\"coordinates\":null,\"data_source\":{\"id\":\"1138\"},\"glyph\":{\"id\":\"1139\"},\"group\":null,\"hover_glyph\":null,\"muted_glyph\":{\"id\":\"1141\"},\"nonselection_glyph\":{\"id\":\"1140\"},\"view\":{\"id\":\"1143\"}},\"id\":\"1142\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"callback\":null},\"id\":\"1157\",\"type\":\"HoverTool\"},{\"attributes\":{\"source\":{\"id\":\"1086\"}},\"id\":\"1091\",\"type\":\"CDSView\"}],\"root_ids\":[\"1198\"]},\"title\":\"Bokeh Application\",\"version\":\"2.4.2\"}};\n", - " const render_items = [{\"docid\":\"b0e23bf4-39ff-495e-bcc2-aaef41c157e7\",\"root_ids\":[\"1198\"],\"roots\":{\"1198\":\"5d4f16cc-b233-4ef7-94e7-2fbf80ff33a5\"}}];\n", - " root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n", - "\n", - " }\n", - " if (root.Bokeh !== undefined) {\n", - " embed_document(root);\n", - " } else {\n", - " 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": "1198" - } - }, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "\n", - "
\n", + "
\n", " \n", - " Loading BokehJS ...\n", - "
" + " Loading BokehJS ...\n", + "
\n" ] }, "metadata": {}, @@ -510,7 +143,6 @@ { "data": { "application/javascript": [ - "\n", "(function(root) {\n", " function now() {\n", " return new Date();\n", @@ -523,7 +155,7 @@ " root._bokeh_is_loading = undefined;\n", " }\n", "\n", - " const JS_MIME_TYPE = 'application/javascript';\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", @@ -646,8 +278,6 @@ " register_renderer(events, OutputArea);\n", " }\n", " }\n", - "\n", - " \n", " if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n", " root._bokeh_timeout = Date.now() + 5000;\n", " root._bokeh_failed_load = false;\n", @@ -670,7 +300,7 @@ " \"\"}};\n", "\n", " function display_loaded() {\n", - " const el = document.getElementById(\"1397\");\n", + " const el = document.getElementById(\"1002\");\n", " if (el != null) {\n", " el.textContent = \"BokehJS is loading...\";\n", " }\n", @@ -683,7 +313,6 @@ " }\n", " }\n", "\n", - "\n", " function run_callbacks() {\n", " try {\n", " root._bokeh_onload_callbacks.forEach(function(callback) {\n", @@ -754,29 +383,22 @@ " document.body.appendChild(element);\n", " }\n", "\n", - " \n", - " const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-2.4.2.min.js\"];\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", "\n", - " const inline_js = [\n", - " function(Bokeh) {\n", + " const inline_js = [ function(Bokeh) {\n", " Bokeh.set_log_level(\"info\");\n", " },\n", - " function(Bokeh) {\n", - " \n", - " \n", + "function(Bokeh) {\n", " }\n", " ];\n", "\n", " function run_inline_js() {\n", - " \n", " if (root.Bokeh !== undefined || force === true) {\n", - " \n", - " for (let i = 0; i < inline_js.length; i++) {\n", + " for (let i = 0; i < inline_js.length; i++) {\n", " inline_js[i].call(root, root.Bokeh);\n", " }\n", - " if (force === true) {\n", + "if (force === true) {\n", " display_loaded();\n", " }} else if (Date.now() < root._bokeh_timeout) {\n", " setTimeout(run_inline_js, 100);\n", @@ -784,10 +406,9 @@ " 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(\"1397\")).parents('.cell').data().cell;\n", + " const cell = $(document.getElementById(\"1002\")).parents('.cell').data().cell;\n", " cell.output_area.append_execute_result(NB_LOAD_WARNING)\n", " }\n", - "\n", " }\n", "\n", " if (root._bokeh_is_loading === 0) {\n", @@ -801,7 +422,7 @@ " }\n", "}(window));" ], - "application/vnd.bokehjs_load.v0+json": "\n(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\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(\"1397\");\n if (el != null) {\n el.textContent = \"BokehJS is loading...\";\n }\n if (root.Bokeh !== undefined) {\n if (el != null) {\n el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n }\n } else if (Date.now() < root._bokeh_timeout) {\n setTimeout(display_loaded, 100)\n }\n }\n\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n\n root._bokeh_onload_callbacks.push(callback);\n if (root._bokeh_is_loading > 0) {\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls == null || js_urls.length === 0) {\n run_callbacks();\n return null;\n }\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n\n function on_error(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 \n const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-2.4.2.min.js\"];\n const css_urls = [];\n \n\n const inline_js = [\n function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\n function(Bokeh) {\n \n \n }\n ];\n\n function run_inline_js() {\n \n if (root.Bokeh !== undefined || force === true) {\n \n for (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(\"1397\")).parents('.cell').data().cell;\n cell.output_area.append_execute_result(NB_LOAD_WARNING)\n }\n\n }\n\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n run_inline_js();\n } else {\n load_libs(css_urls, js_urls, function() {\n console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n run_inline_js();\n });\n }\n}(window));" + "application/vnd.bokehjs_load.v0+json": "(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" @@ -810,12 +431,7 @@ "data": { "text/html": [ "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
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Application\",\"version\":\"2.4.3\"}};\n", + " const render_items = [{\"docid\":\"c02e200a-c790-40e2-ad2f-48f7c8582030\",\"root_ids\":[\"1198\"],\"roots\":{\"1198\":\"4cbcf3c4-437e-4e00-91f2-427b4f113e2b\"}}];\n", " root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n", - "\n", " }\n", " if (root.Bokeh !== undefined) {\n", " embed_document(root);\n", @@ -855,32 +469,18 @@ }, "metadata": { "application/vnd.bokehjs_exec.v0+json": { - "id": "1593" + "id": "1198" } }, "output_type": "display_data" - } - ], - "source": [ - "RDF_Data = md_project.run.RadialDistributionFunction(number_of_configurations=500, cutoff=15.0)" - ] - }, - { - "cell_type": "code", - "execution_count": 61, - "id": "72d522cf", - "metadata": { - "scrolled": false - }, - "outputs": [ + }, { "data": { "text/html": [ - "\n", - "
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\n", " \n", - " Loading BokehJS ...\n", - "
" + " Loading BokehJS ...\n", + "
\n" ] }, "metadata": {}, @@ -889,7 +489,6 @@ { "data": { "application/javascript": [ - "\n", "(function(root) {\n", " function now() {\n", " return new Date();\n", @@ -902,7 +501,7 @@ " root._bokeh_is_loading = undefined;\n", " }\n", "\n", - " const JS_MIME_TYPE = 'application/javascript';\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", @@ -1025,8 +624,6 @@ " register_renderer(events, OutputArea);\n", " }\n", " }\n", - "\n", - " \n", " if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n", " root._bokeh_timeout = Date.now() + 5000;\n", " root._bokeh_failed_load = false;\n", @@ -1049,7 +646,7 @@ " \"\"}};\n", "\n", " function display_loaded() {\n", - " const el = document.getElementById(\"59270\");\n", + " const el = document.getElementById(\"1397\");\n", " if (el != null) {\n", " el.textContent = \"BokehJS is loading...\";\n", " }\n", @@ -1062,7 +659,6 @@ " }\n", " }\n", "\n", - "\n", " function run_callbacks() {\n", " try {\n", " root._bokeh_onload_callbacks.forEach(function(callback) {\n", @@ -1133,29 +729,22 @@ " document.body.appendChild(element);\n", " }\n", "\n", - " \n", - " const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-2.4.2.min.js\"];\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", "\n", - " const inline_js = [\n", - " function(Bokeh) {\n", + " const inline_js = [ function(Bokeh) {\n", " Bokeh.set_log_level(\"info\");\n", " },\n", - " function(Bokeh) {\n", - " \n", - " \n", + "function(Bokeh) {\n", " }\n", " ];\n", "\n", " function run_inline_js() {\n", - " \n", " if (root.Bokeh !== undefined || force === true) {\n", - " \n", - " for (let i = 0; i < inline_js.length; i++) {\n", + " for (let i = 0; i < inline_js.length; i++) {\n", " inline_js[i].call(root, root.Bokeh);\n", " }\n", - " if (force === true) {\n", + "if (force === true) {\n", " display_loaded();\n", " }} else if (Date.now() < root._bokeh_timeout) {\n", " setTimeout(run_inline_js, 100);\n", @@ -1163,10 +752,9 @@ " 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(\"59270\")).parents('.cell').data().cell;\n", + " const cell = $(document.getElementById(\"1397\")).parents('.cell').data().cell;\n", " cell.output_area.append_execute_result(NB_LOAD_WARNING)\n", " }\n", - "\n", " }\n", "\n", " if (root._bokeh_is_loading === 0) {\n", @@ -1180,7 +768,7 @@ " }\n", "}(window));" ], - "application/vnd.bokehjs_load.v0+json": "\n(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\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(\"59270\");\n if (el != null) {\n el.textContent = \"BokehJS is loading...\";\n }\n if (root.Bokeh !== undefined) {\n if (el != null) {\n el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n }\n } else if (Date.now() < root._bokeh_timeout) {\n setTimeout(display_loaded, 100)\n }\n }\n\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n\n root._bokeh_onload_callbacks.push(callback);\n if (root._bokeh_is_loading > 0) {\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls == null || js_urls.length === 0) {\n run_callbacks();\n return null;\n }\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n\n function on_error(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 \n const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-2.4.2.min.js\"];\n const css_urls = [];\n \n\n const inline_js = [\n function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\n function(Bokeh) {\n \n \n }\n ];\n\n function run_inline_js() {\n \n if (root.Bokeh !== undefined || force === true) {\n \n for (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(\"59270\")).parents('.cell').data().cell;\n cell.output_area.append_execute_result(NB_LOAD_WARNING)\n }\n\n }\n\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n run_inline_js();\n } else {\n load_libs(css_urls, js_urls, function() {\n console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n run_inline_js();\n });\n }\n}(window));" + "application/vnd.bokehjs_load.v0+json": "(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(\"1397\");\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(\"1397\")).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" @@ -1189,12 +777,7 @@ "data": { "text/html": [ "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
\n" + "
\n" ] }, "metadata": {}, @@ -1205,11 +788,9 @@ "application/javascript": [ "(function(root) {\n", " function embed_document(root) {\n", - " \n", - " const docs_json = {\"c261aa93-dc42-4129-be37-d73ce60fd034\":{\"defs\":[],\"roots\":{\"references\":[{\"attributes\":{\"children\":[{\"id\":\"59513\"},{\"id\":\"59511\"}],\"sizing_mode\":\"scale_both\"},\"id\":\"59514\",\"type\":\"Column\"},{\"attributes\":{},\"id\":\"59291\",\"type\":\"SaveTool\"},{\"attributes\":{\"axis\":{\"id\":\"59347\"},\"coordinates\":null,\"dimension\":1,\"group\":null,\"ticker\":null},\"id\":\"59350\",\"type\":\"Grid\"},{\"attributes\":{\"end\":2},\"id\":\"59326\",\"type\":\"Range1d\"},{\"attributes\":{\"axis\":{\"id\":\"59343\"},\"coordinates\":null,\"group\":null,\"ticker\":null},\"id\":\"59346\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"59320\",\"type\":\"Selection\"},{\"attributes\":{},\"id\":\"59352\",\"type\":\"WheelZoomTool\"},{\"attributes\":{\"axis_label\":\"$$\\\\text{r} / 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Application\",\"version\":\"2.4.2\"}};\n", - " const render_items = [{\"docid\":\"c261aa93-dc42-4129-be37-d73ce60fd034\",\"root_ids\":[\"59514\"],\"roots\":{\"59514\":\"1d2abbdc-48ac-42b5-80cb-04c14bed93f9\"}}];\n", + " const docs_json = {\"3d183918-92f7-44e6-9ad7-a3f4fecd90e3\":{\"defs\":[],\"roots\":{\"references\":[{\"attributes\":{\"children\":[{\"id\":\"1592\"},{\"id\":\"1590\"}],\"sizing_mode\":\"scale_both\"},\"id\":\"1593\",\"type\":\"Column\"},{\"attributes\":{\"coordinates\":null,\"group\":null},\"id\":\"1539\",\"type\":\"Title\"},{\"attributes\":{\"axis_label\":\"$$r / 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nm$$\",\"coordinates\":null,\"formatter\":{\"id\":\"1545\"},\"group\":null,\"major_label_policy\":{\"id\":\"1546\"},\"ticker\":{\"id\":\"1512\"}},\"id\":\"1511\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"1505\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"1509\",\"type\":\"LinearScale\"},{\"attributes\":{\"line_alpha\":0.2,\"line_color\":\"#1f77b4\",\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1536\",\"type\":\"Line\"},{\"attributes\":{},\"id\":\"1512\",\"type\":\"BasicTicker\"},{\"attributes\":{\"axis\":{\"id\":\"1511\"},\"coordinates\":null,\"group\":null,\"ticker\":null},\"id\":\"1514\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"1520\",\"type\":\"WheelZoomTool\"},{\"attributes\":{},\"id\":\"1490\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"axis_label\":\"$$g(r)$$\",\"coordinates\":null,\"formatter\":{\"id\":\"1542\"},\"group\":null,\"major_label_policy\":{\"id\":\"1543\"},\"ticker\":{\"id\":\"1516\"}},\"id\":\"1515\",\"type\":\"LinearAxis\"},{\"attributes\":{\"axis\":{\"id\":\"1515\"},\"coordinates\":null,\"dimension\":1,\"group\":null,\"ticker\":null},\"id\":\"1518\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"1491\",\"type\":\"AllLabels\"},{\"attributes\":{},\"id\":\"1516\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"1524\",\"type\":\"HelpTool\"},{\"attributes\":{},\"id\":\"1493\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"1519\",\"type\":\"PanTool\"},{\"attributes\":{\"overlay\":{\"id\":\"1525\"}},\"id\":\"1521\",\"type\":\"BoxZoomTool\"},{\"attributes\":{},\"id\":\"1522\",\"type\":\"SaveTool\"},{\"attributes\":{},\"id\":\"1494\",\"type\":\"AllLabels\"},{\"attributes\":{},\"id\":\"1523\",\"type\":\"ResetTool\"},{\"attributes\":{\"bottom_units\":\"screen\",\"coordinates\":null,\"fill_alpha\":0.5,\"fill_color\":\"lightgrey\",\"group\":null,\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":1.0,\"line_color\":\"black\",\"line_dash\":[4,4],\"line_width\":2,\"right_units\":\"screen\",\"syncable\":false,\"top_units\":\"screen\"},\"id\":\"1525\",\"type\":\"BoxAnnotation\"},{\"attributes\":{\"line_color\":\"#1f77b4\",\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1534\",\"type\":\"Line\"},{\"attributes\":{},\"id\":\"1495\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"source\":{\"id\":\"1533\"}},\"id\":\"1538\",\"type\":\"CDSView\"},{\"attributes\":{},\"id\":\"1542\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"1496\",\"type\":\"Selection\"},{\"attributes\":{\"tools\":[{\"id\":\"1519\"},{\"id\":\"1520\"},{\"id\":\"1521\"},{\"id\":\"1522\"},{\"id\":\"1523\"},{\"id\":\"1524\"},{\"id\":\"1552\"}]},\"id\":\"1526\",\"type\":\"Toolbar\"},{\"attributes\":{\"label\":{\"value\":\"Cl_Cl\"},\"renderers\":[{\"id\":\"1537\"}]},\"id\":\"1551\",\"type\":\"LegendItem\"},{\"attributes\":{\"line_alpha\":0.1,\"line_color\":\"#1f77b4\",\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1431\",\"type\":\"Line\"},{\"attributes\":{\"coordinates\":null,\"group\":null,\"items\":[{\"id\":\"1551\"}]},\"id\":\"1550\",\"type\":\"Legend\"},{\"attributes\":{\"coordinates\":null,\"data_source\":{\"id\":\"1429\"},\"glyph\":{\"id\":\"1430\"},\"group\":null,\"hover_glyph\":null,\"muted_glyph\":{\"id\":\"1432\"},\"nonselection_glyph\":{\"id\":\"1431\"},\"view\":{\"id\":\"1434\"}},\"id\":\"1433\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"callback\":null},\"id\":\"1448\",\"type\":\"HoverTool\"},{\"attributes\":{\"line_alpha\":0.1,\"line_color\":\"#1f77b4\",\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1535\",\"type\":\"Line\"},{\"attributes\":{\"below\":[{\"id\":\"1407\"}],\"center\":[{\"id\":\"1410\"},{\"id\":\"1414\"},{\"id\":\"1446\"}],\"left\":[{\"id\":\"1411\"}],\"renderers\":[{\"id\":\"1433\"}],\"sizing_mode\":\"scale_both\",\"title\":{\"id\":\"1435\"},\"toolbar\":{\"id\":\"1422\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"1399\"},\"x_scale\":{\"id\":\"1403\"},\"y_range\":{\"id\":\"1401\"},\"y_scale\":{\"id\":\"1405\"}},\"id\":\"1398\",\"subtype\":\"Figure\",\"type\":\"Plot\"}],\"root_ids\":[\"1593\"]},\"title\":\"Bokeh Application\",\"version\":\"2.4.3\"}};\n", + " const render_items = [{\"docid\":\"3d183918-92f7-44e6-9ad7-a3f4fecd90e3\",\"root_ids\":[\"1593\"],\"roots\":{\"1593\":\"42b27935-6fdb-4798-a4cc-da002c760c30\"}}];\n", " root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n", - "\n", " }\n", " if (root.Bokeh !== undefined) {\n", " embed_document(root);\n", @@ -1234,42 +815,31 @@ }, "metadata": { "application/vnd.bokehjs_exec.v0+json": { - "id": "59514" + "id": "1593" } }, "output_type": "display_data" - }, - { - "data": { - "text/plain": [ - "Exp1_Coordination_Numbers_15" - ] - }, - "execution_count": 61, - "metadata": {}, - "output_type": "execute_result" } ], "source": [ - "NaCl_experiment.run.CoordinationNumbers(\n", - " rdf_data=RDF_Data['NaCl'], savgol_window_length=110, savgol_order=9, number_of_shells=3\n", - ")" + "RDF_Data = md_project.run.RadialDistributionFunction(number_of_configurations=500, cutoff=15.0)" ] }, { "cell_type": "code", - "execution_count": 29, - "id": "a129ebfb", - "metadata": {}, + "execution_count": 6, + "id": "72d522cf", + "metadata": { + "scrolled": false + }, "outputs": [ { "data": { "text/html": [ - "\n", - "
\n", + "
\n", " \n", - " Loading BokehJS ...\n", - "
" + " Loading BokehJS ...\n", + "
\n" ] }, "metadata": {}, @@ -1278,7 +848,6 @@ { "data": { "application/javascript": [ - "\n", "(function(root) {\n", " function now() {\n", " return new Date();\n", @@ -1291,7 +860,7 @@ " root._bokeh_is_loading = undefined;\n", " }\n", "\n", - " const JS_MIME_TYPE = 'application/javascript';\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", @@ -1414,8 +983,6 @@ " register_renderer(events, OutputArea);\n", " }\n", " }\n", - "\n", - " \n", " if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n", " root._bokeh_timeout = Date.now() + 5000;\n", " root._bokeh_failed_load = false;\n", @@ -1438,7 +1005,7 @@ " \"\"}};\n", "\n", " function display_loaded() {\n", - " const el = document.getElementById(\"19277\");\n", + " const el = document.getElementById(\"1825\");\n", " if (el != null) {\n", " el.textContent = \"BokehJS is loading...\";\n", " }\n", @@ -1451,7 +1018,6 @@ " }\n", " }\n", "\n", - "\n", " function run_callbacks() {\n", " try {\n", " root._bokeh_onload_callbacks.forEach(function(callback) {\n", @@ -1522,29 +1088,22 @@ " document.body.appendChild(element);\n", " }\n", "\n", - " \n", - " const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-2.4.2.min.js\"];\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", "\n", - " const inline_js = [\n", - " function(Bokeh) {\n", + " const inline_js = [ function(Bokeh) {\n", " Bokeh.set_log_level(\"info\");\n", " },\n", - " function(Bokeh) {\n", - " \n", - " \n", + "function(Bokeh) {\n", " }\n", " ];\n", "\n", " function run_inline_js() {\n", - " \n", " if (root.Bokeh !== undefined || force === true) {\n", - " \n", - " for (let i = 0; i < inline_js.length; i++) {\n", + " for (let i = 0; i < inline_js.length; i++) {\n", " inline_js[i].call(root, root.Bokeh);\n", " }\n", - " if (force === true) {\n", + "if (force === true) {\n", " display_loaded();\n", " }} else if (Date.now() < root._bokeh_timeout) {\n", " setTimeout(run_inline_js, 100);\n", @@ -1552,10 +1111,9 @@ " 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(\"19277\")).parents('.cell').data().cell;\n", + " const cell = $(document.getElementById(\"1825\")).parents('.cell').data().cell;\n", " cell.output_area.append_execute_result(NB_LOAD_WARNING)\n", " }\n", - "\n", " }\n", "\n", " if (root._bokeh_is_loading === 0) {\n", @@ -1569,7 +1127,7 @@ " }\n", "}(window));" ], - "application/vnd.bokehjs_load.v0+json": "\n(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\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(\"19277\");\n if (el != null) {\n el.textContent = \"BokehJS is loading...\";\n }\n if (root.Bokeh !== undefined) {\n if (el != null) {\n el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n }\n } else if (Date.now() < root._bokeh_timeout) {\n setTimeout(display_loaded, 100)\n }\n }\n\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n\n root._bokeh_onload_callbacks.push(callback);\n if (root._bokeh_is_loading > 0) {\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls == null || js_urls.length === 0) {\n run_callbacks();\n return null;\n }\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n\n function on_error(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 \n const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-2.4.2.min.js\"];\n const css_urls = [];\n \n\n const inline_js = [\n function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\n function(Bokeh) {\n \n \n }\n ];\n\n function run_inline_js() {\n \n if (root.Bokeh !== undefined || force === true) {\n \n for (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(\"19277\")).parents('.cell').data().cell;\n cell.output_area.append_execute_result(NB_LOAD_WARNING)\n }\n\n }\n\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n run_inline_js();\n } else {\n load_libs(css_urls, js_urls, function() {\n console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n run_inline_js();\n });\n }\n}(window));" + "application/vnd.bokehjs_load.v0+json": "(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(\"1825\");\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(\"1825\")).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" @@ -1578,12 +1136,7 @@ "data": { "text/html": [ "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
\n" + "
\n" ] }, "metadata": {}, @@ -1594,11 +1147,9 @@ "application/javascript": [ "(function(root) {\n", " function embed_document(root) {\n", - " \n", - " const docs_json = 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nm$$\",\"coordinates\":null,\"formatter\":{\"id\":\"19447\"},\"group\":null,\"major_label_policy\":{\"id\":\"19448\"},\"ticker\":{\"id\":\"19412\"}},\"id\":\"19411\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"19444\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"19295\",\"type\":\"PanTool\"},{\"attributes\":{\"axis_label\":\"g(r)\",\"coordinates\":null,\"formatter\":{\"id\":\"19470\"},\"group\":null,\"major_label_policy\":{\"id\":\"19471\"},\"ticker\":{\"id\":\"19469\"},\"y_range_name\":\"g(r)\"},\"id\":\"19333\",\"type\":\"LinearAxis\"},{\"attributes\":{\"line_alpha\":0.1,\"line_color\":\"#003f5c\",\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"19313\",\"type\":\"Line\"},{\"attributes\":{\"line_color\":\"#003f5c\",\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"19312\",\"type\":\"Line\"},{\"attributes\":{\"tools\":[{\"id\":\"19419\"},{\"id\":\"19420\"},{\"id\":\"19421\"},{\"id\":\"19422\"},{\"id\":\"19423\"},{\"id\":\"19424\"},{\"id\":\"19454\"}]},\"id\":\"19426\",\"type\":\"Toolbar\"}],\"root_ids\":[\"19518\"]},\"title\":\"Bokeh Application\",\"version\":\"2.4.2\"}};\n", - " const render_items = [{\"docid\":\"65ae8c64-857d-4c15-88f8-a40321a66b80\",\"root_ids\":[\"19518\"],\"roots\":{\"19518\":\"d7ca3b59-70f7-4050-bd67-eb47293db2c4\"}}];\n", + " const docs_json = 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Application\",\"version\":\"2.4.3\"}};\n", + " const render_items = [{\"docid\":\"3fd331b7-3fbd-4a2b-9c1c-a9b9be2e0946\",\"root_ids\":[\"2069\"],\"roots\":{\"2069\":\"37df8366-877f-48a7-a41a-3a73cc3ec9e9\"}}];\n", " root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n", - "\n", " }\n", " if (root.Bokeh !== undefined) {\n", " embed_document(root);\n", @@ -1623,7 +1174,7 @@ }, "metadata": { "application/vnd.bokehjs_exec.v0+json": { - "id": "19518" + "id": "2069" } }, "output_type": "display_data" @@ -1631,34 +1182,33 @@ { "data": { "text/plain": [ - "Exp2_Coordination_Numbers_16" + "Exp1_Coordination_Numbers_3" ] }, - "execution_count": 29, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "KCl_experiment.run.CoordinationNumbers(\n", - " rdf_data=RDF_Data['KCl'], savgol_window_length=110, savgol_order=7, number_of_shells=2\n", + "NaCl_experiment.run.CoordinationNumbers(\n", + " rdf_data=RDF_Data['NaCl'], savgol_window_length=110, savgol_order=9, number_of_shells=3\n", ")" ] }, { "cell_type": "code", - "execution_count": 68, - "id": "b2578aba", + "execution_count": 7, + "id": "a129ebfb", "metadata": {}, "outputs": [ { "data": { "text/html": [ - "\n", - "
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\n", " \n", - " Loading BokehJS ...\n", - "
" + " Loading BokehJS ...\n", + "
\n" ] }, "metadata": {}, @@ -1667,7 +1217,6 @@ { "data": { "application/javascript": [ - "\n", "(function(root) {\n", " function now() {\n", " return new Date();\n", @@ -1680,7 +1229,7 @@ " root._bokeh_is_loading = undefined;\n", " }\n", "\n", - " const JS_MIME_TYPE = 'application/javascript';\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", @@ -1803,8 +1352,6 @@ " register_renderer(events, OutputArea);\n", " }\n", " }\n", - "\n", - " \n", " if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n", " root._bokeh_timeout = Date.now() + 5000;\n", " root._bokeh_failed_load = false;\n", @@ -1827,7 +1374,7 @@ " \"\"}};\n", "\n", " function display_loaded() {\n", - " const el = document.getElementById(\"63616\");\n", + " const el = document.getElementById(\"2424\");\n", " if (el != null) {\n", " el.textContent = \"BokehJS is loading...\";\n", " }\n", @@ -1840,7 +1387,6 @@ " }\n", " }\n", "\n", - "\n", " function run_callbacks() {\n", " try {\n", " root._bokeh_onload_callbacks.forEach(function(callback) {\n", @@ -1911,29 +1457,22 @@ " document.body.appendChild(element);\n", " }\n", "\n", - " \n", - " const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-2.4.2.min.js\"];\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", "\n", - " const inline_js = [\n", - " function(Bokeh) {\n", + " const inline_js = [ function(Bokeh) {\n", " Bokeh.set_log_level(\"info\");\n", " },\n", - " function(Bokeh) {\n", - " \n", - " \n", + "function(Bokeh) {\n", " }\n", " ];\n", "\n", " function run_inline_js() {\n", - " \n", " if (root.Bokeh !== undefined || force === true) {\n", - " \n", - " for (let i = 0; i < inline_js.length; i++) {\n", + " for (let i = 0; i < inline_js.length; i++) {\n", " inline_js[i].call(root, root.Bokeh);\n", " }\n", - " if (force === true) {\n", + "if (force === true) {\n", " display_loaded();\n", " }} else if (Date.now() < root._bokeh_timeout) {\n", " setTimeout(run_inline_js, 100);\n", @@ -1941,10 +1480,9 @@ " 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(\"63616\")).parents('.cell').data().cell;\n", + " const cell = $(document.getElementById(\"2424\")).parents('.cell').data().cell;\n", " cell.output_area.append_execute_result(NB_LOAD_WARNING)\n", " }\n", - "\n", " }\n", "\n", " if (root._bokeh_is_loading === 0) {\n", @@ -1958,7 +1496,7 @@ " }\n", "}(window));" ], - "application/vnd.bokehjs_load.v0+json": "\n(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\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(\"63616\");\n if (el != null) {\n el.textContent = \"BokehJS is loading...\";\n }\n if (root.Bokeh !== undefined) {\n if (el != null) {\n el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n }\n } else if (Date.now() < root._bokeh_timeout) {\n setTimeout(display_loaded, 100)\n }\n }\n\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n\n root._bokeh_onload_callbacks.push(callback);\n if (root._bokeh_is_loading > 0) {\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls == null || js_urls.length === 0) {\n run_callbacks();\n return null;\n }\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n\n function on_error(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 \n const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-2.4.2.min.js\"];\n const css_urls = [];\n \n\n const inline_js = [\n function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\n function(Bokeh) {\n \n \n }\n ];\n\n function run_inline_js() {\n \n if (root.Bokeh !== undefined || force === true) {\n \n for (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(\"63616\")).parents('.cell').data().cell;\n cell.output_area.append_execute_result(NB_LOAD_WARNING)\n }\n\n }\n\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n run_inline_js();\n } else {\n load_libs(css_urls, js_urls, function() {\n console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n run_inline_js();\n });\n }\n}(window));" + "application/vnd.bokehjs_load.v0+json": "(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(\"2424\");\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(\"2424\")).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" @@ -1967,12 +1505,7 @@ "data": { "text/html": [ "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
\n" + "
\n" ] }, "metadata": {}, @@ -1983,11 +1516,9 @@ "application/javascript": [ "(function(root) {\n", " function embed_document(root) {\n", - " \n", - " const docs_json = {\"6febc88c-5401-48d7-a29e-bed06205f412\":{\"defs\":[],\"roots\":{\"references\":[{\"attributes\":{\"children\":[{\"id\":\"63817\"},{\"id\":\"63815\"}],\"sizing_mode\":\"scale_both\"},\"id\":\"63818\",\"type\":\"Column\"},{\"attributes\":{\"source\":{\"id\":\"63758\"}},\"id\":\"63763\",\"type\":\"CDSView\"},{\"attributes\":{},\"id\":\"63665\",\"type\":\"Selection\"},{\"attributes\":{\"coordinates\":null,\"dimension\":\"height\",\"group\":null,\"line_dash\":[6],\"location\":0.6874583055370246},\"id\":\"63757\",\"type\":\"Span\"},{\"attributes\":{},\"id\":\"63773\",\"type\":\"Selection\"},{\"attributes\":{},\"id\":\"63662\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"63770\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"63771\",\"type\":\"AllLabels\"},{\"attributes\":{},\"id\":\"63638\",\"type\":\"ResetTool\"},{\"attributes\":{},\"id\":\"63637\",\"type\":\"SaveTool\"},{\"attributes\":{},\"id\":\"63660\",\"type\":\"AllLabels\"},{\"attributes\":{\"coordinates\":null,\"dimension\":\"height\",\"group\":null,\"line_dash\":[6],\"location\":0.8785857238158772},\"id\":\"63649\",\"type\":\"Span\"},{\"attributes\":{},\"id\":\"63772\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"coordinates\":null,\"group\":null},\"id\":\"63764\",\"type\":\"Title\"},{\"attributes\":{},\"id\":\"63659\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"63768\",\"type\":\"AllLabels\"},{\"attributes\":{\"line_color\":\"#003f5c\",\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"63651\",\"type\":\"Line\"},{\"attributes\":{},\"id\":\"63663\",\"type\":\"AllLabels\"},{\"attributes\":{},\"id\":\"63767\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"label\":{\"value\":\"K_K: -4.531E-12 +- 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Application\",\"version\":\"2.4.2\"}};\n", - " const render_items = [{\"docid\":\"6febc88c-5401-48d7-a29e-bed06205f412\",\"root_ids\":[\"63818\"],\"roots\":{\"63818\":\"a4429b4b-0f82-4553-b5f8-6a431a67d405\"}}];\n", + " const docs_json = 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Application\",\"version\":\"2.4.3\"}};\n", + " const render_items = [{\"docid\":\"1087d07b-3d54-4219-9db6-e9462bdd147a\",\"root_ids\":[\"2665\"],\"roots\":{\"2665\":\"e6caf013-753e-4bf1-91b3-c2de3fc13e19\"}}];\n", " root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n", - "\n", " }\n", " if (root.Bokeh !== undefined) {\n", " embed_document(root);\n", @@ -2012,7 +1543,7 @@ }, "metadata": { "application/vnd.bokehjs_exec.v0+json": { - "id": "63818" + "id": "2665" } }, "output_type": "display_data" @@ -2020,36 +1551,33 @@ { "data": { "text/plain": [ - "Exp2_Potential_of_Mean_Force_19" + "Exp2_Coordination_Numbers_4" ] }, - "execution_count": 68, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "KCl_experiment.run.PotentialOfMeanForce(\n", + "KCl_experiment.run.CoordinationNumbers(\n", " rdf_data=RDF_Data['KCl'], savgol_window_length=110, savgol_order=7, number_of_shells=2\n", ")" ] }, { "cell_type": "code", - "execution_count": 9, - "id": "228229fd", - "metadata": { - "scrolled": false - }, + "execution_count": 8, + "id": "b2578aba", + "metadata": {}, "outputs": [ { "data": { "text/html": [ - "\n", - "
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\n", " \n", - " Loading BokehJS ...\n", - "
" + " Loading BokehJS ...\n", + "
\n" ] }, "metadata": {}, @@ -2058,7 +1586,6 @@ { "data": { "application/javascript": [ - "\n", "(function(root) {\n", " function now() {\n", " return new Date();\n", @@ -2071,7 +1598,7 @@ " root._bokeh_is_loading = undefined;\n", " }\n", "\n", - " const JS_MIME_TYPE = 'application/javascript';\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", @@ -2194,8 +1721,6 @@ " register_renderer(events, OutputArea);\n", " }\n", " }\n", - "\n", - " \n", " if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n", " root._bokeh_timeout = Date.now() + 5000;\n", " root._bokeh_failed_load = false;\n", @@ -2218,7 +1743,7 @@ " \"\"}};\n", "\n", " function display_loaded() {\n", - " const el = document.getElementById(\"3631\");\n", + " const el = document.getElementById(\"3068\");\n", " if (el != null) {\n", " el.textContent = \"BokehJS is loading...\";\n", " }\n", @@ -2231,7 +1756,6 @@ " }\n", " }\n", "\n", - "\n", " function run_callbacks() {\n", " try {\n", " root._bokeh_onload_callbacks.forEach(function(callback) {\n", @@ -2302,29 +1826,22 @@ " document.body.appendChild(element);\n", " }\n", "\n", - " \n", - " const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-2.4.2.min.js\"];\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", "\n", - " const inline_js = [\n", - " function(Bokeh) {\n", + " const inline_js = [ function(Bokeh) {\n", " Bokeh.set_log_level(\"info\");\n", " },\n", - " function(Bokeh) {\n", - " \n", - " \n", + "function(Bokeh) {\n", " }\n", " ];\n", "\n", " function run_inline_js() {\n", - " \n", " if (root.Bokeh !== undefined || force === true) {\n", - " \n", - " for (let i = 0; i < inline_js.length; i++) {\n", + " for (let i = 0; i < inline_js.length; i++) {\n", " inline_js[i].call(root, root.Bokeh);\n", " }\n", - " if (force === true) {\n", + "if (force === true) {\n", " display_loaded();\n", " }} else if (Date.now() < root._bokeh_timeout) {\n", " setTimeout(run_inline_js, 100);\n", @@ -2332,10 +1849,9 @@ " 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(\"3631\")).parents('.cell').data().cell;\n", + " const cell = $(document.getElementById(\"3068\")).parents('.cell').data().cell;\n", " cell.output_area.append_execute_result(NB_LOAD_WARNING)\n", " }\n", - "\n", " }\n", "\n", " if (root._bokeh_is_loading === 0) {\n", @@ -2349,7 +1865,7 @@ " }\n", "}(window));" ], - "application/vnd.bokehjs_load.v0+json": "\n(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\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(\"3631\");\n if (el != null) {\n el.textContent = \"BokehJS is loading...\";\n }\n if (root.Bokeh !== undefined) {\n if (el != null) {\n el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n }\n } else if (Date.now() < root._bokeh_timeout) {\n setTimeout(display_loaded, 100)\n }\n }\n\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n\n root._bokeh_onload_callbacks.push(callback);\n if (root._bokeh_is_loading > 0) {\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls == null || js_urls.length === 0) {\n run_callbacks();\n return null;\n }\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n\n function on_error(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 \n const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-2.4.2.min.js\"];\n const css_urls = [];\n \n\n const inline_js = [\n function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\n function(Bokeh) {\n \n \n }\n ];\n\n function run_inline_js() {\n \n if (root.Bokeh !== undefined || force === true) {\n \n for (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(\"3631\")).parents('.cell').data().cell;\n cell.output_area.append_execute_result(NB_LOAD_WARNING)\n }\n\n }\n\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n run_inline_js();\n } else {\n load_libs(css_urls, js_urls, function() {\n console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n run_inline_js();\n });\n }\n}(window));" + "application/vnd.bokehjs_load.v0+json": "(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(\"3068\");\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(\"3068\")).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" @@ -2358,12 +1874,7 @@ "data": { "text/html": [ "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
\n" + "
\n" ] }, "metadata": {}, @@ -2374,11 +1885,9 @@ "application/javascript": [ "(function(root) {\n", " function embed_document(root) {\n", - " \n", - " const docs_json = 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Application\",\"version\":\"2.4.3\"}};\n", + " const render_items = [{\"docid\":\"fc012296-b712-469b-b33f-35581f9ebf54\",\"root_ids\":[\"3270\"],\"roots\":{\"3270\":\"c1da5712-db86-4dbf-9d8a-90f73a3029b3\"}}];\n", " root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n", - "\n", " }\n", " if (root.Bokeh !== undefined) {\n", " embed_document(root);\n", @@ -2403,7 +1912,7 @@ }, "metadata": { "application/vnd.bokehjs_exec.v0+json": { - "id": "3827" + "id": "3270" } }, "output_type": "display_data" @@ -2411,23 +1920,23 @@ { "data": { "text/plain": [ - "Exp2_Kirkwood-Buff_Integral_6" + "Exp2_Potential_of_Mean_Force_5" ] }, - "execution_count": 9, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "KCl_experiment.run.KirkwoodBuffIntegral(\n", - " rdf_data=RDF_Data['KCl']\n", + "KCl_experiment.run.PotentialOfMeanForce(\n", + " rdf_data=RDF_Data['KCl'], savgol_window_length=110, savgol_order=7, number_of_shells=2\n", ")" ] }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 9, "id": "d07725e4", "metadata": {}, "outputs": [], @@ -2439,13 +1948,13 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 10, "id": "268b12d2", "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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\n", "text/plain": [ "
" ] @@ -2475,18 +1984,17 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 11, "id": "dd02ddae", "metadata": {}, "outputs": [ { "data": { "text/html": [ - "\n", - "
\n", + "
\n", " \n", - " Loading BokehJS ...\n", - "
" + " Loading BokehJS ...\n", + "
\n" ] }, "metadata": {}, @@ -2495,7 +2003,6 @@ { "data": { "application/javascript": [ - "\n", "(function(root) {\n", " function now() {\n", " return new Date();\n", @@ -2508,7 +2015,7 @@ " root._bokeh_is_loading = undefined;\n", " }\n", "\n", - " const JS_MIME_TYPE = 'application/javascript';\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", @@ -2631,8 +2138,6 @@ " register_renderer(events, OutputArea);\n", " }\n", " }\n", - "\n", - " \n", " if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n", " root._bokeh_timeout = Date.now() + 5000;\n", " root._bokeh_failed_load = false;\n", @@ -2655,7 +2160,7 @@ " \"\"}};\n", "\n", " function display_loaded() {\n", - " const el = document.getElementById(\"4221\");\n", + " const el = document.getElementById(\"3631\");\n", " if (el != null) {\n", " el.textContent = \"BokehJS is loading...\";\n", " }\n", @@ -2668,7 +2173,6 @@ " }\n", " }\n", "\n", - "\n", " function run_callbacks() {\n", " try {\n", " root._bokeh_onload_callbacks.forEach(function(callback) {\n", @@ -2739,29 +2243,22 @@ " document.body.appendChild(element);\n", " }\n", "\n", - " \n", - " const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-2.4.2.min.js\"];\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", "\n", - " const inline_js = [\n", - " function(Bokeh) {\n", + " const inline_js = [ function(Bokeh) {\n", " Bokeh.set_log_level(\"info\");\n", " },\n", - " function(Bokeh) {\n", - " \n", - " \n", + "function(Bokeh) {\n", " }\n", " ];\n", "\n", " function run_inline_js() {\n", - " \n", " if (root.Bokeh !== undefined || force === true) {\n", - " \n", - " for (let i = 0; i < inline_js.length; i++) {\n", + " for (let i = 0; i < inline_js.length; i++) {\n", " inline_js[i].call(root, root.Bokeh);\n", " }\n", - " if (force === true) {\n", + "if (force === true) {\n", " display_loaded();\n", " }} else if (Date.now() < root._bokeh_timeout) {\n", " setTimeout(run_inline_js, 100);\n", @@ -2769,10 +2266,9 @@ " 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(\"4221\")).parents('.cell').data().cell;\n", + " const cell = $(document.getElementById(\"3631\")).parents('.cell').data().cell;\n", " cell.output_area.append_execute_result(NB_LOAD_WARNING)\n", " }\n", - "\n", " }\n", "\n", " if (root._bokeh_is_loading === 0) {\n", @@ -2786,7 +2282,7 @@ " }\n", "}(window));" ], - "application/vnd.bokehjs_load.v0+json": "\n(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\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(\"4221\");\n if (el != null) {\n el.textContent = \"BokehJS is loading...\";\n }\n if (root.Bokeh !== undefined) {\n if (el != null) {\n el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n }\n } else if (Date.now() < root._bokeh_timeout) {\n setTimeout(display_loaded, 100)\n }\n }\n\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n\n root._bokeh_onload_callbacks.push(callback);\n if (root._bokeh_is_loading > 0) {\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls == null || js_urls.length === 0) {\n run_callbacks();\n return null;\n }\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n\n function on_error(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 \n const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-2.4.2.min.js\"];\n const css_urls = [];\n \n\n const inline_js = [\n function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\n function(Bokeh) {\n \n \n }\n ];\n\n function run_inline_js() {\n \n if (root.Bokeh !== undefined || force === true) {\n \n for (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(\"4221\")).parents('.cell').data().cell;\n cell.output_area.append_execute_result(NB_LOAD_WARNING)\n }\n\n }\n\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n run_inline_js();\n } else {\n load_libs(css_urls, js_urls, function() {\n console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n run_inline_js();\n });\n }\n}(window));" + "application/vnd.bokehjs_load.v0+json": "(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(\"3631\");\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(\"3631\")).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" @@ -2795,12 +2291,7 @@ "data": { "text/html": [ "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[499]}},\"selected\":{\"id\":\"4305\"},\"selection_policy\":{\"id\":\"4304\"}},\"id\":\"4280\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"4542\",\"type\":\"WheelZoomTool\"},{\"attributes\":{\"coordinates\":null,\"data_source\":{\"id\":\"4280\"},\"glyph\":{\"id\":\"4281\"},\"group\":null,\"hover_glyph\":null,\"muted_glyph\":{\"id\":\"4283\"},\"nonselection_glyph\":{\"id\":\"4282\"},\"view\":{\"id\":\"4285\"},\"y_range_name\":\"Diffusion\"},\"id\":\"4284\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"label\":{\"value\":\"Na: 1.173E-08 +- 3.809E-11\"},\"renderers\":[{\"id\":\"4258\"}]},\"id\":\"4272\",\"type\":\"LegendItem\"},{\"attributes\":{},\"id\":\"4566\",\"type\":\"AllLabels\"},{\"attributes\":{},\"id\":\"4546\",\"type\":\"HelpTool\"},{\"attributes\":{\"axis\":{\"id\":\"4235\"},\"coordinates\":null,\"dimension\":1,\"group\":null,\"ticker\":null},\"id\":\"4238\",\"type\":\"Grid\"},{\"attributes\":{\"axis_label\":\"$$\\\\text{Diffusion Coefficient} / 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/ s$$\",\"coordinates\":null,\"formatter\":{\"id\":\"4568\"},\"group\":null,\"major_label_policy\":{\"id\":\"4569\"},\"ticker\":{\"id\":\"4534\"}},\"id\":\"4533\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"4538\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"4568\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"4244\",\"type\":\"HelpTool\"},{\"attributes\":{},\"id\":\"4531\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"4529\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"4243\",\"type\":\"ResetTool\"}],\"root_ids\":[\"4867\"]},\"title\":\"Bokeh Application\",\"version\":\"2.4.2\"}};\n", - " const render_items = [{\"docid\":\"80a7dd70-a66e-4eda-a98d-d582a02c0537\",\"root_ids\":[\"4867\"],\"roots\":{\"4867\":\"7eda48ff-02b7-4034-a553-cfb14e711ee0\"}}];\n", + " const docs_json = 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Application\",\"version\":\"2.4.3\"}};\n", + " const render_items = [{\"docid\":\"fe8ff5f9-aada-4f32-b6fc-3ec70e83949f\",\"root_ids\":[\"3807\"],\"roots\":{\"3807\":\"5119938f-f01a-4fc0-b8c5-149a6b3f3976\"}}];\n", " root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n", - "\n", " }\n", " if (root.Bokeh !== undefined) {\n", " embed_document(root);\n", @@ -2840,7 +2329,7 @@ }, "metadata": { "application/vnd.bokehjs_exec.v0+json": { - "id": "4867" + "id": "3807" } }, "output_type": "display_data" @@ -2848,11 +2337,10 @@ { "data": { "text/html": [ - "\n", - "
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\n", " \n", - " Loading BokehJS ...\n", - "
" + " Loading BokehJS ...\n", + "
\n" ] }, "metadata": {}, @@ -2861,7 +2349,6 @@ { "data": { "application/javascript": [ - "\n", "(function(root) {\n", " function now() {\n", " return new Date();\n", @@ -2874,7 +2361,7 @@ " root._bokeh_is_loading = undefined;\n", " }\n", "\n", - " const JS_MIME_TYPE = 'application/javascript';\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", @@ -2997,8 +2484,6 @@ " register_renderer(events, OutputArea);\n", " }\n", " }\n", - "\n", - " \n", " if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n", " root._bokeh_timeout = Date.now() + 5000;\n", " root._bokeh_failed_load = false;\n", @@ -3021,7 +2506,7 @@ " \"\"}};\n", "\n", " function display_loaded() {\n", - " const el = document.getElementById(\"5312\");\n", + " const el = document.getElementById(\"4219\");\n", " if (el != null) {\n", " el.textContent = \"BokehJS is loading...\";\n", " }\n", @@ -3034,7 +2519,6 @@ " }\n", " }\n", "\n", - "\n", " function run_callbacks() {\n", " try {\n", " root._bokeh_onload_callbacks.forEach(function(callback) {\n", @@ -3105,29 +2589,22 @@ " document.body.appendChild(element);\n", " }\n", "\n", - " \n", - " const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-2.4.2.min.js\"];\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", "\n", - " const inline_js = [\n", - " function(Bokeh) {\n", + " const inline_js = [ function(Bokeh) {\n", " Bokeh.set_log_level(\"info\");\n", " },\n", - " function(Bokeh) {\n", - " \n", - " \n", + "function(Bokeh) {\n", " }\n", " ];\n", "\n", " function run_inline_js() {\n", - " \n", " if (root.Bokeh !== undefined || force === true) {\n", - " \n", - " for (let i = 0; i < inline_js.length; i++) {\n", + " for (let i = 0; i < inline_js.length; i++) {\n", " inline_js[i].call(root, root.Bokeh);\n", " }\n", - " if (force === true) {\n", + "if (force === true) {\n", " display_loaded();\n", " }} else if (Date.now() < root._bokeh_timeout) {\n", " setTimeout(run_inline_js, 100);\n", @@ -3135,10 +2612,9 @@ " 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(\"5312\")).parents('.cell').data().cell;\n", + " const cell = $(document.getElementById(\"4219\")).parents('.cell').data().cell;\n", " cell.output_area.append_execute_result(NB_LOAD_WARNING)\n", " }\n", - "\n", " }\n", "\n", " if (root._bokeh_is_loading === 0) {\n", @@ -3152,7 +2628,7 @@ " }\n", "}(window));" ], - "application/vnd.bokehjs_load.v0+json": "\n(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\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(\"5312\");\n if (el != null) {\n el.textContent = \"BokehJS is loading...\";\n }\n if (root.Bokeh !== undefined) {\n if (el != null) {\n el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n }\n } else if (Date.now() < root._bokeh_timeout) {\n setTimeout(display_loaded, 100)\n }\n }\n\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n\n root._bokeh_onload_callbacks.push(callback);\n if (root._bokeh_is_loading > 0) {\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls == null || js_urls.length === 0) {\n run_callbacks();\n return null;\n }\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n\n function on_error(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 \n const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-2.4.2.min.js\"];\n const css_urls = [];\n \n\n const inline_js = [\n function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\n function(Bokeh) {\n \n \n }\n ];\n\n function run_inline_js() {\n \n if (root.Bokeh !== undefined || force === true) {\n \n for (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(\"5312\")).parents('.cell').data().cell;\n cell.output_area.append_execute_result(NB_LOAD_WARNING)\n }\n\n }\n\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n run_inline_js();\n } else {\n load_libs(css_urls, js_urls, function() {\n console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n run_inline_js();\n });\n }\n}(window));" + "application/vnd.bokehjs_load.v0+json": "(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(\"4219\");\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(\"4219\")).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" @@ -3161,12 +2637,7 @@ "data": { "text/html": [ "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
\n" + "
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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[499]}},\"selected\":{\"id\":\"5394\"},\"selection_policy\":{\"id\":\"5393\"}},\"id\":\"5365\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"5318\",\"type\":\"LinearScale\"},{\"attributes\":{\"source\":{\"id\":\"5365\"}},\"id\":\"5370\",\"type\":\"CDSView\"},{\"attributes\":{\"line_color\":\"#bc5090\",\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"5366\",\"type\":\"Line\"},{\"attributes\":{\"source\":{\"id\":\"5371\"}},\"id\":\"5376\",\"type\":\"CDSView\"},{\"attributes\":{},\"id\":\"5616\",\"type\":\"DataRange1d\"},{\"attributes\":{\"line_alpha\":0.1,\"line_color\":\"#bc5090\",\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"5367\",\"type\":\"Line\"},{\"attributes\":{\"coordinates\":null,\"data_source\":{\"id\":\"5345\"},\"glyph\":{\"id\":\"5346\"},\"group\":null,\"hover_glyph\":null,\"muted_glyph\":{\"id\":\"5348\"},\"nonselection_glyph\":{\"id\":\"5347\"},\"view\":{\"id\":\"5350\"}},\"id\":\"5349\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"coordinates\":null,\"data_source\":{\"id\":\"5371\"},\"glyph\":{\"id\":\"5372\"},\"group\":null,\"hover_glyph\":null,\"muted_glyph\":{\"id\":\"5374\"},\"nonselection_glyph\":{\"id\":\"5373\"},\"view\":{\"id\":\"5376\"},\"y_range_name\":\"Diffusion\"},\"id\":\"5375\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"5618\",\"type\":\"DataRange1d\"},{\"attributes\":{\"axis\":{\"id\":\"5624\"},\"coordinates\":null,\"group\":null,\"ticker\":null},\"id\":\"5627\",\"type\":\"Grid\"},{\"attributes\":{\"end\":1.579638823382107e-08,\"start\":4.390745250062992e-09},\"id\":\"5364\",\"type\":\"Range1d\"}],\"root_ids\":[\"5958\"]},\"title\":\"Bokeh Application\",\"version\":\"2.4.2\"}};\n", - " const render_items = [{\"docid\":\"6b484aee-b2ff-4d73-9ead-81f244f4e503\",\"root_ids\":[\"5958\"],\"roots\":{\"5958\":\"61a80e1d-59db-44ae-8eec-9a210f6ac195\"}}];\n", + " const docs_json = 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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[498]},\"y2\":{\"__ndarray__\":\"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imVIYT7Zmstn4kZhPgNQphu5RWE+6tRvU7xEYT4AcSrtukNhPiyzNjeTQmE+QhXkOEpBYT7HYsC5GkBhPvcZbShiP2E+oA2UsW4/YT7ULK6JVEBhPgYlfDvmQWE+dP5kNr1DYT4VYXgSUEVhPqS5jhgoRmE+6flGYw5GYT5EQkjPAEVhPviogx0KQ2E+92h8FTZAYT4OZEywqjxhPimcu2W0OGE+flXKSKo0YT7FdSIgyzBhPmx5nrAtLWE+dluDL8QpYT77f7x7ciZhPkglLIorI2E+mcXYBhAgYT4Rhg/zjR1hPjcZMHJSHGE+gq8CauccYT5M2KqYQh9hPp8ZuFKwImE+Q7ZPESwmYT7wFNhK4ChhPvs2T2t1KmE+Dl/DpworYT7ZN/Zc+CphPlPTF0ORKmE+Wnbx6/UpYT4wMUtH/ChhPmU9RcY/J2E+8uSaKmEkYT6uV6RsRyBhPhYYRlQ3G2E+AO7D6scVYT7x/nUPuRBhPpHUd4WvDGE+ZozkTgIKYT7M+FZzvQhhPpWXYdexCGE+QxmACW8JYT4Hhk6UTgphPnhIVpqrCmE+oiorLiUKYT7GbURzwQhhPoHF4RzqBmE+7ZVu/0wFYT5yHtnsmgRhPp9P1AcyBWE+qXqyIvAGYT52D5q7VQlhPlFz9VXmC2E+EUcflXgOYT6MP4S5JRFhPvIZKBMCFGE+CDcIvAcXYT5oBaaFJxphPuOngyVFHWE+o3zEjD0gYT4sMkyNDSNhPtOK7MbcJWE+uLbC9NEoYT7SvGyW5ithPmyHx2XsLmE+XQLR7r0xYT7UgIeoZjRhPk7sJUYYN2E+FHpz2/o5YT45n22bEz1hPmGz6cdRQGE+QN61nI5DYT4FJd83g0ZhPpQOb8TkSGE+LCoTN45KYT6YxNoakUthPgeY+Fg1TGE+FZ1aQd9MYT5ePz1q4E1hPpotYEVaT2E+xQjVxzJRYT42tc0+DlNhPpCXYrplVGE+lMKHbrtUYT7MHmAcy1NhPg64BlmpUWE+DwXYksZOYT5sHUWAx0thPvXSX2hNSWE+5HTP2dVHYT5E9Js1uUdhPhyjSMg1SWE+cw1BiXhMYT5+VYKimFFhPhTjCzuBWGE+HLYOg9tgYT4eyppLAWphPmE+lxjxcmE+k/Ihd2J6YT6L5u4JLX9hPiejcFPigGE+9KskxwyAYT4oQcenwX1hPmsXgefxemE+HuPttRF4YT4cYseVMHVhPqmG0QBEcmE+LltQEF1vYT6ieBEwq2xhPhEeASV7amE+S2cmHUNpYT5Db7Bch2lhPoqLfjaca2E+/TXAEHdvYT4DI7qBqHRhPrg91d16emE+QTASuhSAYT6PupsRoYRhPo1Hu+OWh2E+P8anF/eIYT4K52s5OolhPnK7yMj4iGE+xqiluZ+IYT66e0uEZIhhPlURcwdxiGE+A4q4ox+JYT7XvfExAothPkECeoefjmE+YgtbDTKUYT7KRrEwi5thPiVwKcAEpGE+TuVT4qGsYT72d+zRe7RhPr28A8Auu2E+1Ae36OLAYT61OQwI8sVhPoFYTRyQymE+U1RxUbfOYT6Q7JcTK9JhPuQQaz9w1GE+xi4QwOzUYT6YSYxxRtNhPvRn8Om6z2E+wNZqpiHLYT7fvoMzmMZhPoFAjmYgw2E+yQE64nTBYT4L2dyyA8JhPi3QllvLxGE+ZlsSRS3JYT48YSF8B85hPr13m2cS0mE+8dZCMz3UYT6t0mF68tNhPtdyux5E0WE+Q95Ju9jMYT609gz4kMdhPiv2hHwswmE+9l+lyC69YT6F3qsr8LhhPgUwUi60tWE+eLMbALOzYT7boqJ8CrNhPo8Ipkyis2E+ilDXZR21YT6DjxH+7LZhPpVTvCiAuGE+gTqzZn25YT6SAdaL8blhPiB5s9ZSumE++d86IT27YT4Bahw6B71hPtGI0E6Qv2E+GTABZHjCYT6fYlHAgMVhPi/4bKawyGE+iXDe3y/MYT7/ntRmDdBhPmKBN+Ak1GE+vVby3CnYYT4TVsFyudthPk5oJfBs3mE+fdg51wXgYT4NR1NNm+BhPshcX5WV4GE+az1DXXrgYT7r5g9/t+BhPjcT+E+E4WE+BX5qEtviYT5z9PwojuRhPk0nvsZg5mE+LbtTfAnoYT5TPJa+NOlhPjgUJriY6WE+8WlJogXpYT6pUuGcaedhPsc7afXc5GE+fg4rCrvhYT5+FgPVtt5hPvF0hzfF3GE+K+mks7/cYT5cPnJR+N5hPpAnWNYT42E+wIBysyzoYT6hgivhJO1hPuY43pYb8WE+FNXz0sPzYT7rSP1OUfVhPsJr6toV9mE+fe4Gwy32YT6FMKVkefVhPtD2SzHU82E+u5ujrEbxYT60epYJC+5hPrerQrF66mE+xG1v3PrmYT6lanog3uNhPq4L+NxH4WE+d6lG6CffYT6ZAeUFQt1hPm/AkY0722E+nU385sXYYT4HggFH0dVhPlVJOqOU0mE+z2/p9nDPYT5XM7FZzMxhPrvkFMbxymE+xRkssATKYT7ZAqQoAcphPuNE4Ga7ymE+swerCOnLYT4x9dGaNc1hPhqkL6xXzmE+ogbBCB3PYT6VrBI6bM9hPjo39iJLz2E+FuhfSebOYT6zvQkxgM5hPk3RTTFOzmE+ccEpB2DOYT5SfUzDn85hPiIFZe3pzmE+QOZauzDPYT6ZMp1njM9hPldZbV0z0GE+c5n61mPRYT7IlhyvR9NhPuXWUnnk1WE+LHH5OBXZYT6xqvX/fNxhPsJsvymG32E+aHuQ0ZPhYT4QNFCIXeJhPvUq61I04mE+8RLue/PhYT74OHbBoeJhPtQM4jj65GE+m3V4tg/pYT60AExrNe5hPse7untR82E+2JDI3mL3YT7jXOUWzvlhPi3Hg4hj+mE+ct3R9En5YT5D/kpI4PZhPu9h8fqj82E+0vF7nC7wYT7zViVLPe1hPh4dLT2Q62E+z7gvc53rYT4vIPWPRu1hPt7vCG/L72E+LlL/jRnyYT5c8NfEQ/NhPtT88NXQ8mE+GL+AfczwYT6WdfgJsu1hPtUa+UJO6mE+FypI6JLnYT4Vd9gaSOZhPnds8eLJ5mE+a5kucwbpYT7BE12UkexhPnNfw8ao8GE+P/ErmVj0YT4BRPeA2PZhPl/er/3U92E+c410eFz3YT6SENU4ifVhPqxhtYxM8mE+TKFi4qDtYT5JU6AM3+dhPjgHek+24WE+IfRRQtLbYT6YsQrBmdZhPqPlMCMm0mE+6LwlI0bOYT7KESmfhMphPr0XI8RWxmE+DNxMuWTBYT7J780+urthPj7i56u6tWE+4VuAu+KvYT5Lr8WomaphPjwYo/8wpmE+/h43RuuiYT4vESlA/6BhPoHxC6+coGE+IVEkxt2hYT70OOVavKRhPidlIvUJqWE+U3asgUKuYT4Vgs+0dLNhPuyi+6CPt2E+JR02dtq5YT70MK/qSLphPjAnBI2buWE+xvLJOiO5YT69IYgcHLphPtNio7D+vGE+buAfZkPBYT75lu7+v8VhPgs4xoxWyWE+rSaffHrLYT7965/VPcxhPpy5Qy0IzGE+1kLmfkXLYT64u9UxL8phPhuCX9bCyGE+mhsjPefGYT4slRurm8RhPhfo9loewmE+fOdXqPq/YT6T/O8b3L5hPgCE30k/v2E+K23PzTjBYT7+kV4HbMRhPhgFA8E3yGE+GVIDePTLYT78bueqI89hPsO8c6GY0WE+y01cK4rTYT7MsGCsXtVhPpsFm/c/12E+Fx5slNLYYT7fZF9uY9lhPnh3VH5s2GE+4WFNx+DVYT52wib1I9JhPnKBX/fxzWE+eRGSXjfKYT7CaaZFysdhPuBojKcZx2E+BqgFuAnIYT6/jT/YDcphPubr+exqzGE+ZnNOH37OYT7CdASa989hPkWc71j90GE+rhi3kiDSYT6jn3qjEtRhPsbA/14312E+Ooc8QHHbYT6UernSUOBhPugUTs5T5WE+mDUA6PLpYT7/L25ErO1hPi19Dexw8GE+\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[498]}},\"selected\":{\"id\":\"4389\"},\"selection_policy\":{\"id\":\"4388\"}},\"id\":\"4346\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"4288\",\"type\":\"DataRange1d\"},{\"attributes\":{\"coordinates\":null,\"data_source\":{\"id\":\"4346\"},\"glyph\":{\"id\":\"4347\"},\"group\":null,\"hover_glyph\":null,\"muted_glyph\":{\"id\":\"4349\"},\"nonselection_glyph\":{\"id\":\"4348\"},\"view\":{\"id\":\"4351\"},\"y_range_name\":\"Diff_range\"},\"id\":\"4350\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"axis\":{\"id\":\"4296\"},\"coordinates\":null,\"group\":null,\"ticker\":null},\"id\":\"4299\",\"type\":\"Grid\"},{\"attributes\":{\"fill_alpha\":0.1,\"fill_color\":\"#ffa600\",\"hatch_alpha\":{\"value\":0.1},\"hatch_color\":{\"value\":\"#ffa600\"},\"x\":{\"field\":\"x\"},\"y1\":{\"field\":\"y1\"},\"y2\":{\"field\":\"y2\"}},\"id\":\"4348\",\"type\":\"VArea\"},{\"attributes\":{},\"id\":\"4294\",\"type\":\"LinearScale\"},{\"attributes\":{\"fill_alpha\":0.2,\"fill_color\":\"#ffa600\",\"hatch_alpha\":{\"value\":0.2},\"hatch_color\":{\"value\":\"#ffa600\"},\"x\":{\"field\":\"x\"},\"y1\":{\"field\":\"y1\"},\"y2\":{\"field\":\"y2\"}},\"id\":\"4349\",\"type\":\"VArea\"},{\"attributes\":{\"toolbars\":[{\"id\":\"4244\"},{\"id\":\"4311\"}],\"tools\":[{\"id\":\"4237\"},{\"id\":\"4238\"},{\"id\":\"4239\"},{\"id\":\"4240\"},{\"id\":\"4241\"},{\"id\":\"4242\"},{\"id\":\"4285\"},{\"id\":\"4304\"},{\"id\":\"4305\"},{\"id\":\"4306\"},{\"id\":\"4307\"},{\"id\":\"4308\"},{\"id\":\"4309\"},{\"id\":\"4352\"}]},\"id\":\"4393\",\"type\":\"ProxyToolbar\"}],\"root_ids\":[\"4395\"]},\"title\":\"Bokeh Application\",\"version\":\"2.4.3\"}};\n", + " const render_items = [{\"docid\":\"f0315dd3-61b3-4738-935d-d66ddf973d50\",\"root_ids\":[\"4395\"],\"roots\":{\"4395\":\"0586f9d2-187b-41bc-8670-edbbcb331cc6\"}}];\n", " root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n", - "\n", " }\n", " if (root.Bokeh !== undefined) {\n", " embed_document(root);\n", @@ -3206,16 +2675,26 @@ }, "metadata": { "application/vnd.bokehjs_exec.v0+json": { - "id": "5958" + "id": "4395" } }, "output_type": "display_data" - }, + } + ], + "source": [ + "data = md_project.run.GreenKuboDiffusionCoefficients(data_range=499, correlation_time=10)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "ae7f7690", + "metadata": {}, + "outputs": [ { "data": { "text/plain": [ - "{'NaCl': Exp1_Green Kubo Self-Diffusion Coefficients_7,\n", - " 'KCl': Exp2_Green Kubo Self-Diffusion Coefficients_8}" + "[1.1699497443817538e-08]" ] }, "execution_count": 12, @@ -3224,41 +2703,58 @@ } ], "source": [ - "md_project.run.GreenKuboDiffusionCoefficients()" + "data[\"NaCl\"].data_dict[\"Na\"][\"diffusion_coefficient\"]" ] }, { "cell_type": "code", "execution_count": 13, - "id": "724f413b", + "id": "b7ce9420", "metadata": {}, "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "2022-03-07 10:39:28,745 - INFO: starting Einstein Diffusion Computation\n", - "2022-03-07 10:39:28,746 - INFO: starting Einstein Diffusion Computation\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2022-03-07 10:39:28.863281: I tensorflow/core/platform/cpu_feature_guard.cc:151] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA\n", - "To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.\n", - "Na: 100%|███████████████████████████████| 1/1 [00:04<00:00, 4.25s/it]\n", - "Cl: 100%|███████████████████████████████| 1/1 [00:04<00:00, 4.56s/it]\n" - ] - }, + "data": { + "text/plain": [ + "[9.289197074221025e-09]" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data[\"NaCl\"].data_dict[\"Cl\"][\"diffusion_coefficient\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "f40c6cf6", + "metadata": {}, + "outputs": [], + "source": [ + "md_project.experiments.NaCl.species[\"Na\"].charge = 1\n", + "md_project.experiments.NaCl.species[\"Cl\"].charge = -1\n", + "md_project.experiments.KCl.species[\"K\"].charge = 1\n", + "md_project.experiments.KCl.species[\"Cl\"].charge = -1" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "724f413b", + "metadata": { + "scrolled": false + }, + "outputs": [ { "data": { "text/html": [ - "\n", - "
\n", + "
\n", " \n", - " Loading BokehJS ...\n", - "
" + " Loading BokehJS ...\n", + "
\n" ] }, "metadata": {}, @@ -3267,7 +2763,6 @@ { "data": { "application/javascript": [ - "\n", "(function(root) {\n", " function now() {\n", " return new Date();\n", @@ -3280,7 +2775,7 @@ " root._bokeh_is_loading = undefined;\n", " }\n", "\n", - " const JS_MIME_TYPE = 'application/javascript';\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", @@ -3403,8 +2898,6 @@ " register_renderer(events, OutputArea);\n", " }\n", " }\n", - "\n", - " \n", " if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n", " root._bokeh_timeout = Date.now() + 5000;\n", " root._bokeh_failed_load = false;\n", @@ -3427,7 +2920,7 @@ " \"\"}};\n", "\n", " function display_loaded() {\n", - " const el = document.getElementById(\"6439\");\n", + " const el = document.getElementById(\"4843\");\n", " if (el != null) {\n", " el.textContent = \"BokehJS is loading...\";\n", " }\n", @@ -3440,7 +2933,6 @@ " }\n", " }\n", "\n", - "\n", " function run_callbacks() {\n", " try {\n", " root._bokeh_onload_callbacks.forEach(function(callback) {\n", @@ -3511,29 +3003,22 @@ " document.body.appendChild(element);\n", " }\n", "\n", - " \n", - " const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-2.4.2.min.js\"];\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", "\n", - " const inline_js = [\n", - " function(Bokeh) {\n", + " const inline_js = [ function(Bokeh) {\n", " Bokeh.set_log_level(\"info\");\n", " },\n", - " function(Bokeh) {\n", - " \n", - " \n", + "function(Bokeh) {\n", " }\n", " ];\n", "\n", " function run_inline_js() {\n", - " \n", " if (root.Bokeh !== undefined || force === true) {\n", - " \n", - " for (let i = 0; i < inline_js.length; i++) {\n", + " for (let i = 0; i < inline_js.length; i++) {\n", " inline_js[i].call(root, root.Bokeh);\n", " }\n", - " if (force === true) {\n", + "if (force === true) {\n", " display_loaded();\n", " }} else if (Date.now() < root._bokeh_timeout) {\n", " setTimeout(run_inline_js, 100);\n", @@ -3541,10 +3026,9 @@ " 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(\"6439\")).parents('.cell').data().cell;\n", + " const cell = $(document.getElementById(\"4843\")).parents('.cell').data().cell;\n", " cell.output_area.append_execute_result(NB_LOAD_WARNING)\n", " }\n", - "\n", " }\n", "\n", " if (root._bokeh_is_loading === 0) {\n", @@ -3558,7 +3042,7 @@ " }\n", "}(window));" ], - "application/vnd.bokehjs_load.v0+json": "\n(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\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(\"6439\");\n if (el != null) {\n el.textContent = \"BokehJS is loading...\";\n }\n if (root.Bokeh !== undefined) {\n if (el != null) {\n el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n }\n } else if (Date.now() < root._bokeh_timeout) {\n setTimeout(display_loaded, 100)\n }\n }\n\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n\n root._bokeh_onload_callbacks.push(callback);\n if (root._bokeh_is_loading > 0) {\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls == null || js_urls.length === 0) {\n run_callbacks();\n return null;\n }\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n\n function on_error(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 \n const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-2.4.2.min.js\"];\n const css_urls = [];\n \n\n const inline_js = [\n function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\n function(Bokeh) {\n \n \n }\n ];\n\n function run_inline_js() {\n \n if (root.Bokeh !== undefined || force === true) {\n \n for (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(\"6439\")).parents('.cell').data().cell;\n cell.output_area.append_execute_result(NB_LOAD_WARNING)\n }\n\n }\n\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n run_inline_js();\n } else {\n load_libs(css_urls, js_urls, function() {\n console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n run_inline_js();\n });\n }\n}(window));" + "application/vnd.bokehjs_load.v0+json": "(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(\"4843\");\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(\"4843\")).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" @@ -3567,12 +3051,7 @@ "data": { "text/html": [ "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
\n" + "
\n" ] }, "metadata": {}, @@ -3583,11 +3062,9 @@ "application/javascript": [ "(function(root) {\n", " function embed_document(root) {\n", - " \n", - " const docs_json = 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\n", " \n", - " Loading BokehJS ...\n", - "
" + " Loading BokehJS ...\n", + "
\n" ] }, "metadata": {}, @@ -3648,7 +3109,6 @@ { "data": { "application/javascript": [ - "\n", "(function(root) {\n", " function now() {\n", " return new Date();\n", @@ -3661,7 +3121,7 @@ " root._bokeh_is_loading = undefined;\n", " }\n", "\n", - " const JS_MIME_TYPE = 'application/javascript';\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", @@ -3784,8 +3244,6 @@ " register_renderer(events, OutputArea);\n", " }\n", " }\n", - "\n", - " \n", " if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n", " root._bokeh_timeout = Date.now() + 5000;\n", " root._bokeh_failed_load = false;\n", @@ -3808,7 +3266,7 @@ " \"\"}};\n", "\n", " function display_loaded() {\n", - " const el = document.getElementById(\"7202\");\n", + " const el = document.getElementById(\"5309\");\n", " if (el != null) {\n", " el.textContent = \"BokehJS is loading...\";\n", " }\n", @@ -3821,7 +3279,6 @@ " }\n", " }\n", "\n", - "\n", " function run_callbacks() {\n", " try {\n", " root._bokeh_onload_callbacks.forEach(function(callback) {\n", @@ -3892,29 +3349,22 @@ " document.body.appendChild(element);\n", " }\n", "\n", - " \n", - " const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-2.4.2.min.js\"];\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", "\n", - " const inline_js = [\n", - " function(Bokeh) {\n", + " const inline_js = [ function(Bokeh) {\n", " Bokeh.set_log_level(\"info\");\n", " },\n", - " function(Bokeh) {\n", - " \n", - " \n", + "function(Bokeh) {\n", " }\n", " ];\n", "\n", " function run_inline_js() {\n", - " \n", " if (root.Bokeh !== undefined || force === true) {\n", - " \n", - " for (let i = 0; i < inline_js.length; i++) {\n", + " for (let i = 0; i < inline_js.length; i++) {\n", " inline_js[i].call(root, root.Bokeh);\n", " }\n", - " if (force === true) {\n", + "if (force === true) {\n", " display_loaded();\n", " }} else if (Date.now() < root._bokeh_timeout) {\n", " setTimeout(run_inline_js, 100);\n", @@ -3922,10 +3372,9 @@ " 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(\"7202\")).parents('.cell').data().cell;\n", + " const cell = $(document.getElementById(\"5309\")).parents('.cell').data().cell;\n", " cell.output_area.append_execute_result(NB_LOAD_WARNING)\n", " }\n", - "\n", " }\n", "\n", " if (root._bokeh_is_loading === 0) {\n", @@ -3939,7 +3388,7 @@ " }\n", "}(window));" ], - "application/vnd.bokehjs_load.v0+json": "\n(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\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(\"7202\");\n if (el != null) {\n el.textContent = \"BokehJS is loading...\";\n }\n if (root.Bokeh !== undefined) {\n if (el != null) {\n el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n }\n } else if (Date.now() < root._bokeh_timeout) {\n setTimeout(display_loaded, 100)\n }\n }\n\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n\n root._bokeh_onload_callbacks.push(callback);\n if (root._bokeh_is_loading > 0) {\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls == null || js_urls.length === 0) {\n run_callbacks();\n return null;\n }\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n\n function on_error(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 \n const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-2.4.2.min.js\"];\n const css_urls = [];\n \n\n const inline_js = [\n function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\n function(Bokeh) {\n \n \n }\n ];\n\n function run_inline_js() {\n \n if (root.Bokeh !== undefined || force === true) {\n \n for (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(\"7202\")).parents('.cell').data().cell;\n cell.output_area.append_execute_result(NB_LOAD_WARNING)\n }\n\n }\n\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n run_inline_js();\n } else {\n load_libs(css_urls, js_urls, function() {\n console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n run_inline_js();\n });\n }\n}(window));" + "application/vnd.bokehjs_load.v0+json": "(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(\"5309\");\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(\"5309\")).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" @@ -3948,12 +3397,7 @@ "data": { "text/html": [ "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
\n" + "
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Application\",\"version\":\"2.4.3\"}};\n", + " const render_items = [{\"docid\":\"05a47e82-b845-472e-aa3d-9b3c105fb0b9\",\"root_ids\":[\"5399\"],\"roots\":{\"5399\":\"7aa70161-af2f-4f1a-8181-16ae884a9dcf\"}}];\n", " root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n", - "\n", " }\n", " if (root.Bokeh !== undefined) {\n", " embed_document(root);\n", @@ -3993,7 +3435,7 @@ }, "metadata": { "application/vnd.bokehjs_exec.v0+json": { - "id": "7424" + "id": "5399" } }, "output_type": "display_data" @@ -4001,17 +3443,17 @@ { "data": { "text/plain": [ - "{'NaCl': Exp1_Einstein Self-Diffusion Coefficients_11,\n", - " 'KCl': Exp2_Einstein Self-Diffusion Coefficients_12}" + "{'NaCl': Exp1_Green_Kubo_Ionic_Conductivity_20,\n", + " 'KCl': Exp2_Green_Kubo_Ionic_Conductivity_21}" ] }, - "execution_count": 13, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "md_project.run.EinsteinDiffusionCoefficients()" + "md_project.run.GreenKuboIonicConductivity(data_range=506)" ] }, { @@ -4039,9 +3481,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.7" + "version": "3.9.12" } }, "nbformat": 4, "nbformat_minor": 5 -} \ No newline at end of file +} diff --git a/mdsuite/calculators/green_kubo_ionic_conductivity.py b/mdsuite/calculators/green_kubo_ionic_conductivity.py index 0c0a6660..c00bb73a 100644 --- a/mdsuite/calculators/green_kubo_ionic_conductivity.py +++ b/mdsuite/calculators/green_kubo_ionic_conductivity.py @@ -34,7 +34,10 @@ import numpy as np import tensorflow as tf import tensorflow_probability as tfp -from bokeh.models import Span +from bokeh.models import HoverTool, LinearAxis, Span +from bokeh.models.ranges import Range1d +from bokeh.plotting import figure +from scipy.integrate import cumtrapz from tqdm import tqdm from mdsuite.calculators.calculator import call @@ -104,7 +107,7 @@ def __init__(self, **kwargs): self.analysis_name = "Green_Kubo_Ionic_Conductivity" self.result_keys = ["ionic_conductivity", "uncertainty"] - self.result_series_keys = ["time", "acf"] + self.result_series_keys = ["time", "acf", "integral", "integral_uncertainty"] self.prefactor = None self._dtype = tf.float64 @@ -137,7 +140,7 @@ def __call__( self.sigma = [] if integration_range is None: - integration_range = data_range + integration_range = data_range - 1 # set args that will affect the computation result self.args = Args( @@ -151,6 +154,9 @@ def __call__( self.time = self._handle_tau_values() self.jacf = np.zeros(self.data_resolution) + self.acfs = [] + self.sigmas = [] + def check_input(self): """ Check the user input to ensure no conflicts are present. @@ -169,6 +175,7 @@ def _calculate_prefactor(self): ------- """ + # TODO improve docstring # Calculate the prefactor numerator = (elementary_charge**2) * (self.experiment.units.length**2) denominator = ( @@ -177,7 +184,6 @@ def _calculate_prefactor(self): * self.experiment.temperature * self.experiment.volume * self.experiment.units.volume - * self.args.data_range * self.experiment.units.time ) self.prefactor = numerator / denominator @@ -191,37 +197,24 @@ def _apply_averaging_factor(self): """ pass - def ensemble_operation(self, ensemble): + def ensemble_operation(self, ensemble: tf.Tensor): """ Calculate and return the msd. Parameters ---------- - ensemble + ensemble : tf.Tensor + Ensemble on which to operate. Returns ------- - MSD of the tensor_values. + ACF of the tensor_values. """ - jacf = ( - self.args.data_range - * tf.reduce_sum( - tfp.stats.auto_correlation( - tf.gather(ensemble, self.args.tau_values, axis=1), - normalize=False, - axis=1, - center=False, - ), - axis=-1, - )[0, :] - ) - self.jacf += jacf - self.sigma.append( - np.trapz( - jacf, - x=self.time[self.args.tau_values], - ) - ) + ensemble = tf.gather(ensemble, self.args.tau_values, axis=1) + jacf = tfp.stats.auto_correlation(ensemble, normalize=False, axis=1, center=False) + jacf = tf.squeeze(tf.reduce_sum(jacf, axis=-1), axis=0) + self.acfs.append(jacf) + self.sigmas.append(cumtrapz(jacf, x=self.time)) def _post_operation_processes(self): """ @@ -230,13 +223,20 @@ def _post_operation_processes(self): ------- """ - result = self.prefactor * np.array(self.sigma) - + sigma = np.mean(self.sigmas, axis=0) + sigma_SEM = np.std(self.sigmas, axis=0) / np.sqrt(len(self.sigmas)) + acf = np.mean(self.acfs, axis=0) + ionic_conductivity = self.prefactor * sigma[self.args.integration_range - 1] + ionic_conductivity_SEM = ( + self.prefactor * sigma_SEM[self.args.integration_range - 1] + ) data = { - self.result_keys[0]: np.mean(result).tolist(), - self.result_keys[1]: (np.std(result) / np.sqrt(len(result))).tolist(), + self.result_keys[0]: [ionic_conductivity], + self.result_keys[1]: [ionic_conductivity_SEM], self.result_series_keys[0]: self.time.tolist(), - self.result_series_keys[1]: self.jacf.numpy().tolist(), + self.result_series_keys[1]: acf.tolist(), + self.result_series_keys[2]: sigma.tolist(), + self.result_series_keys[3]: sigma_SEM.tolist(), } self.queue_data(data=data, subjects=["System"]) @@ -244,24 +244,56 @@ def _post_operation_processes(self): def plot_data(self, data): """Plot the data""" for selected_species, val in data.items(): + fig = figure(x_axis_label=self.x_label, y_axis_label=self.y_label) + + integral = np.array(val[self.result_series_keys[2]]) + integral_err = np.array(val[self.result_series_keys[3]]) + time = np.array(val[self.result_series_keys[0]]) + acf = np.array(val[self.result_series_keys[1]]) + # Compute the span span = Span( - location=( - np.array(val[self.result_series_keys[0]]) * self.experiment.units.time - )[self.args.integration_range - 1], + location=np.array(val[self.result_series_keys[0]])[ + self.args.integration_range - 1 + ], dimension="height", line_dash="dashed", ) - self.run_visualization( - x_data=np.array(val[self.result_series_keys[0]]) - * self.experiment.units.time, - y_data=np.array(val[self.result_series_keys[1]]), - title=( - f"{val[self.result_keys[0]]: 0.3E} +-" - f" {val[self.result_keys[1]]: 0.3E}" + # Compute vacf line + fig.line( + time, + acf, + color="#003f5c", + legend_label=( + f"{selected_species}: {val[self.result_keys[0]][0]: 0.3E} +-" + f" {val[self.result_keys[1]][0]: 0.3E}" + ), + ) + + fig.extra_y_ranges = { + "Cond_Range": Range1d(start=0.6 * min(integral), end=1.3 * max(integral)) + } + fig.add_layout( + LinearAxis( + y_range_name="Cond_Range", + axis_label=r"$$\text{Ionic Conductivity} / Scm^{-1}$$", ), - layouts=[span], + "right", ) + fig.line(time[1:], integral, y_range_name="Cond_Range", color="#bc5090") + fig.varea( + time[1:], + integral - integral_err, + integral + integral_err, + alpha=0.3, + color="#ffa600", + y_range_name="Cond_Range", + ) + + fig.add_tools(HoverTool()) + fig.add_layout(span) + self.plot_array.append(fig) + def run_calculator(self): """ Run analysis. diff --git a/mdsuite/calculators/green_kubo_self_diffusion_coefficients.py b/mdsuite/calculators/green_kubo_self_diffusion_coefficients.py index da1150c4..01935445 100644 --- a/mdsuite/calculators/green_kubo_self_diffusion_coefficients.py +++ b/mdsuite/calculators/green_kubo_self_diffusion_coefficients.py @@ -148,7 +148,7 @@ def __call__( else: species = list(self.experiment.species) if integration_range is None: - integration_range = data_range + integration_range = data_range - 1 # set args that will affect the computation result self.args = Args( @@ -198,12 +198,7 @@ def ensemble_operation(self, ensemble): # average particles, sum dimensions vacf = tf.reduce_sum(tf.reduce_mean(vacf, axis=0), -1) - self.sigmas.append( - cumtrapz( - vacf, - x=self.time, - ) - ) + self.sigmas.append(cumtrapz(vacf, x=self.time)) self.vacfs.append(vacf) def plot_data(self, data: dict): @@ -286,8 +281,8 @@ def postprocessing(self, species: str): self.vacfs = np.array(self.vacfs) vacf = np.mean(self.vacfs, axis=0) - diff_coeff = 1 / 3 * sigma[-1] - diff_coeff_SEM = 1 / 3 * sigma_SEM[-1] + diff_coeff = 1 / 3 * sigma[self.args.integration_range - 1] + diff_coeff_SEM = 1 / 3 * sigma_SEM[self.args.integration_range - 1] data = { self.result_keys[0]: [diff_coeff], diff --git a/mdsuite/calculators/trajectory_calculator.py b/mdsuite/calculators/trajectory_calculator.py index 404c79e6..55a010ad 100644 --- a/mdsuite/calculators/trajectory_calculator.py +++ b/mdsuite/calculators/trajectory_calculator.py @@ -197,6 +197,7 @@ def _handle_tau_values(self) -> np.array: """ Handle the parsing of custom tau values. + Returns ------- times : np.array @@ -314,7 +315,7 @@ def get_batch_dataset( correct: bool = False, ) -> tf.data.Dataset: """ - Collect the batch loop dataset + Collect the batch loop dataset. Parameters ----------