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av-r-AT-3 tune
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"Autotune data: pts = 1024, aux_data_len = 0, timestep = 0.62ms\n"
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"source": [
"%matplotlib inline\n",
"\n",
"# Import all the numerical computing stuff we need...\n",
"\n",
"from dronin import autotune\n",
"import numpy as np\n",
"import pandas\n",
"import math\n",
"from scipy import fftpack, signal\n",
"from bokeh.plotting import figure, show\n",
"from bokeh.io import output_notebook\n",
"from bokeh.models import LinearAxis, Range1d, Span\n",
"\n",
"output_notebook() # Tell bokeh to send plots to notebook\n",
"\n",
"# And load up a datafile of autotune data. In this file, the average\n",
"# motor commands and gyro responses from all 90-120 wobbles during the\n",
"# autotune sequence are stored.\n",
"df, time_step = autotune.read_autotune_lump('/Users/jhitesma/Downloads/qav-r-AT-3.bin', filter_freq=55)#, filter_order=6)\n"
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"source": [
"# next let's plot what the roll gyro does vs. the flight controller's roll command\n",
"\n",
"p = figure(title=\"roll gyro vs actuators\")\n",
"p.line(df.time, df.gyroX)\n",
"p.extra_y_ranges = { 'actuation' : Range1d(min(df.desiredX), max(df.desiredX)) }\n",
"p.line(df.time, df.desiredX, y_range_name='actuation', color=\"red\")\n",
"p.add_layout(LinearAxis(y_range_name=\"actuation\"), 'right')\n",
"\n",
"show(p)\n",
"\n",
"# Looks really nasty, huh? This is the gyro data vs. the actuator data. They're clearly related\n",
"# but phase is off and shape is a fair bit different."
]
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"outputs": [
{
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" \"<li>use INLINE resources instead, as so:</li>\\n\"+\n",
" \"</ul>\\n\"+\n",
" \"<code>\\n\"+\n",
" \"from bokeh.resources import INLINE\\n\"+\n",
" \"output_notebook(resources=INLINE)\\n\"+\n",
" \"</code>\\n\"+\n",
" \"</div>\"}};\n",
" \n",
" function display_loaded() {\n",
" if (window.Bokeh !== undefined) {\n",
" document.getElementById(\"b0d3fb8e-66a8-4eb0-9f54-65c5bb447d8a\").textContent = \"BokehJS successfully loaded.\";\n",
" } else if (Date.now() < window._bokeh_timeout) {\n",
" setTimeout(display_loaded, 100)\n",
" }\n",
" }\n",
" \n",
" function run_callbacks() {\n",
" window._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n",
" delete window._bokeh_onload_callbacks\n",
" console.info(\"Bokeh: all callbacks have finished\");\n",
" }\n",
" \n",
" function load_libs(js_urls, callback) {\n",
" window._bokeh_onload_callbacks.push(callback);\n",
" if (window._bokeh_is_loading > 0) {\n",
" console.log(\"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.log(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
" window._bokeh_is_loading = js_urls.length;\n",
" for (var i = 0; i < js_urls.length; i++) {\n",
" var url = js_urls[i];\n",
" var s = document.createElement('script');\n",
" s.src = url;\n",
" s.async = false;\n",
" s.onreadystatechange = s.onload = function() {\n",
" window._bokeh_is_loading--;\n",
" if (window._bokeh_is_loading === 0) {\n",
" console.log(\"Bokeh: all BokehJS libraries loaded\");\n",
" run_callbacks()\n",
" }\n",
" };\n",
" s.onerror = function() {\n",
" console.warn(\"failed to load library \" + url);\n",
" };\n",
" console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
" document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
" }\n",
" };var element = document.getElementById(\"b0d3fb8e-66a8-4eb0-9f54-65c5bb447d8a\");\n",
" if (element == null) {\n",
" console.log(\"Bokeh: ERROR: autoload.js configured with elementid 'b0d3fb8e-66a8-4eb0-9f54-65c5bb447d8a' but no matching script tag was found. \")\n",
" return false;\n",
" }\n",
" \n",
" var js_urls = [];\n",
" \n",
" var inline_js = [\n",
" function(Bokeh) {\n",
" (function() {\n",
" var fn = function() {\n",
" var docs_json = 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"source": [
"p = figure(title=\"roll gyrodiff vs actuators\")\n",
"p.line(df.time, df.derivgyroX)\n",
"p.extra_y_ranges = { 'actuation' : Range1d(min(df.desiredX), max(df.desiredX)) }\n",
"p.line(df.time, df.desiredX, y_range_name='actuation', color=\"red\")\n",
"p.add_layout(LinearAxis(y_range_name=\"actuation\"), 'right')\n",
"\n",
"show(p)\n",
"\n",
"# If we differentiate the gyro, the shape is more clearly related, but boy is\n",
"# there a lot of noise."
]
},
{
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"metadata": {
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},
"outputs": [
{
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" if (typeof (window._bokeh_onload_callbacks) === \"undefined\" || force === true) {\n",
" window._bokeh_onload_callbacks = [];\n",
" window._bokeh_is_loading = undefined;\n",
" }\n",
" \n",
" \n",
" \n",
" if (typeof (window._bokeh_timeout) === \"undefined\" || force === true) {\n",
" window._bokeh_timeout = Date.now() + 0;\n",
" window._bokeh_failed_load = false;\n",
" }\n",
" \n",
" var NB_LOAD_WARNING = {'data': {'text/html':\n",
" \"<div style='background-color: #fdd'>\\n\"+\n",
" \"<p>\\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",
" \"</p>\\n\"+\n",
" \"<ul>\\n\"+\n",
" \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n",
" \"<li>use INLINE resources instead, as so:</li>\\n\"+\n",
" \"</ul>\\n\"+\n",
" \"<code>\\n\"+\n",
" \"from bokeh.resources import INLINE\\n\"+\n",
" \"output_notebook(resources=INLINE)\\n\"+\n",
" \"</code>\\n\"+\n",
" \"</div>\"}};\n",
" \n",
" function display_loaded() {\n",
" if (window.Bokeh !== undefined) {\n",
" document.getElementById(\"a558bffe-0395-422b-9a4c-646c4bc4fa72\").textContent = \"BokehJS successfully loaded.\";\n",
" } else if (Date.now() < window._bokeh_timeout) {\n",
" setTimeout(display_loaded, 100)\n",
" }\n",
" }\n",
" \n",
" function run_callbacks() {\n",
" window._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n",
" delete window._bokeh_onload_callbacks\n",
" console.info(\"Bokeh: all callbacks have finished\");\n",
" }\n",
" \n",
" function load_libs(js_urls, callback) {\n",
" window._bokeh_onload_callbacks.push(callback);\n",
" if (window._bokeh_is_loading > 0) {\n",
" console.log(\"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.log(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
" window._bokeh_is_loading = js_urls.length;\n",
" for (var i = 0; i < js_urls.length; i++) {\n",
" var url = js_urls[i];\n",
" var s = document.createElement('script');\n",
" s.src = url;\n",
" s.async = false;\n",
" s.onreadystatechange = s.onload = function() {\n",
" window._bokeh_is_loading--;\n",
" if (window._bokeh_is_loading === 0) {\n",
" console.log(\"Bokeh: all BokehJS libraries loaded\");\n",
" run_callbacks()\n",
" }\n",
" };\n",
" s.onerror = function() {\n",
" console.warn(\"failed to load library \" + url);\n",
" };\n",
" console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
" document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
" }\n",
" };var element = document.getElementById(\"a558bffe-0395-422b-9a4c-646c4bc4fa72\");\n",
" if (element == null) {\n",
" console.log(\"Bokeh: ERROR: autoload.js configured with elementid 'a558bffe-0395-422b-9a4c-646c4bc4fa72' but no matching script tag was found. \")\n",
" return false;\n",
" }\n",
" \n",
" var js_urls = [];\n",
" \n",
" var inline_js = [\n",
" function(Bokeh) {\n",
" (function() {\n",
" var fn = function() {\n",
" var docs_json = 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\",\"dtype\":\"float64\",\"shape\":[1024]}}},\"id\":\"94b41602-411f-47bc-a131-a29237a1b630\",\"type\":\"ColumnDataSource\"},{\"att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" var render_items = [{\"docid\":\"b1e3ccbd-420a-4214-9c51-ef7846bdd0d0\",\"elementid\":\"a558bffe-0395-422b-9a4c-646c4bc4fa72\",\"modelid\":\"8dc35fb1-fdda-4826-8317-524115f0fe9c\"}];\n",
" \n",
" Bokeh.embed.embed_items(docs_json, render_items);\n",
" };\n",
" if (document.readyState != \"loading\") fn();\n",
" else document.addEventListener(\"DOMContentLoaded\", fn);\n",
" })();\n",
" },\n",
" function(Bokeh) {\n",
" }\n",
" ];\n",
" \n",
" function run_inline_js() {\n",
" \n",
" if ((window.Bokeh !== undefined) || (force === true)) {\n",
" for (var i = 0; i < inline_js.length; i++) {\n",
" inline_js[i](window.Bokeh);\n",
" }if (force === true) {\n",
" display_loaded();\n",
" }} else if (Date.now() < window._bokeh_timeout) {\n",
" setTimeout(run_inline_js, 100);\n",
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}
],
"source": [
"p = figure(title=\"filtered roll gyrodiff vs actuators\")\n",
"p.line(df.time, df.derivfilteredX)\n",
"p.extra_y_ranges = { 'actuation' : Range1d(min(df.desiredX), max(df.desiredX)) }\n",
"p.line(df.time, df.desiredX, y_range_name='actuation', color=\"red\")\n",
"p.add_layout(LinearAxis(y_range_name=\"actuation\"), 'right')\n",
"\n",
"show(p)\n",
"\n",
"# Low pass filtering clearly helps. Now let's get down to business of finding how the input\n",
"# relates to the output."
]
},
{
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"deletable": true,
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"slideshow": {
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}
},
"outputs": [
{
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"text": [
"Axis X: tau=28.9 samples (18.05 ms / -4.014)\n",
"\tgain=26.9 (beta=10.671), bias=34.4\n"
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"\n",
"\n",
" <div class=\"bk-root\">\n",
" <div class=\"bk-plotdiv\" id=\"cb999d27-7f19-4107-9830-c40f476e2f7b\"></div>\n",
" </div>\n",
"<script type=\"text/javascript\">\n",
" \n",
" (function(global) {\n",
" function now() {\n",
" return new Date();\n",
" }\n",
" \n",
" var force = false;\n",
" \n",
" if (typeof (window._bokeh_onload_callbacks) === \"undefined\" || force === true) {\n",
" window._bokeh_onload_callbacks = [];\n",
" window._bokeh_is_loading = undefined;\n",
" }\n",
" \n",
" \n",
" \n",
" if (typeof (window._bokeh_timeout) === \"undefined\" || force === true) {\n",
" window._bokeh_timeout = Date.now() + 0;\n",
" window._bokeh_failed_load = false;\n",
" }\n",
" \n",
" var NB_LOAD_WARNING = {'data': {'text/html':\n",
" \"<div style='background-color: #fdd'>\\n\"+\n",
" \"<p>\\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",
" \"</p>\\n\"+\n",
" \"<ul>\\n\"+\n",
" \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n",
" \"<li>use INLINE resources instead, as so:</li>\\n\"+\n",
" \"</ul>\\n\"+\n",
" \"<code>\\n\"+\n",
" \"from bokeh.resources import INLINE\\n\"+\n",
" \"output_notebook(resources=INLINE)\\n\"+\n",
" \"</code>\\n\"+\n",
" \"</div>\"}};\n",
" \n",
" function display_loaded() {\n",
" if (window.Bokeh !== undefined) {\n",
" document.getElementById(\"cb999d27-7f19-4107-9830-c40f476e2f7b\").textContent = \"BokehJS successfully loaded.\";\n",
" } else if (Date.now() < window._bokeh_timeout) {\n",
" setTimeout(display_loaded, 100)\n",
" }\n",
" }\n",
" \n",
" function run_callbacks() {\n",
" window._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n",
" delete window._bokeh_onload_callbacks\n",
" console.info(\"Bokeh: all callbacks have finished\");\n",
" }\n",
" \n",
" function load_libs(js_urls, callback) {\n",
" window._bokeh_onload_callbacks.push(callback);\n",
" if (window._bokeh_is_loading > 0) {\n",
" console.log(\"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.log(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
" window._bokeh_is_loading = js_urls.length;\n",
" for (var i = 0; i < js_urls.length; i++) {\n",
" var url = js_urls[i];\n",
" var s = document.createElement('script');\n",
" s.src = url;\n",
" s.async = false;\n",
" s.onreadystatechange = s.onload = function() {\n",
" window._bokeh_is_loading--;\n",
" if (window._bokeh_is_loading === 0) {\n",
" console.log(\"Bokeh: all BokehJS libraries loaded\");\n",
" run_callbacks()\n",
" }\n",
" };\n",
" s.onerror = function() {\n",
" console.warn(\"failed to load library \" + url);\n",
" };\n",
" console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
" document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
" }\n",
" };var element = document.getElementById(\"cb999d27-7f19-4107-9830-c40f476e2f7b\");\n",
" if (element == null) {\n",
" console.log(\"Bokeh: ERROR: autoload.js configured with elementid 'cb999d27-7f19-4107-9830-c40f476e2f7b' but no matching script tag was found. \")\n",
" return false;\n",
" }\n",
" \n",
" var js_urls = [];\n",
" \n",
" var inline_js = [\n",
" function(Bokeh) {\n",
" (function() {\n",
" var fn = function() {\n",
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wuS/tVQMA5LB9kflZA4BaHYggRTUCANfJiQelKQJCxuirfalJAYNdlVZtIUkDgwCYwZoJVQODRmZ9Po1dA4BrFBD6qUUBANaSYrnpOQEAPUNjR5VRAQFjwDZm4V0BgWtnozbJYQGCSiNChnFhAoAlITsxfVEBgT87m3XtTQKBkUATVIVdAoJrnTv9tWEBA3m4wxYhYQEDkzNJv8VhAYJom8CFgVUAAR30MD61SQKDVXpfiPlNAgEn34W9ZU0DAzvdHQnFVQABfsKPMPVZA4KobN1EWVkAgKO/P0kdWQIA/faFzBlRAAJReopILUkBAdsHIgthRQIANU1Ip6FFAgGW7nYZZUUAA/dk2NANQQIA80N3z805AgCIg8jnAUEAAj51q+M9PQIDS4W4Oe0hAAL51Ug9CRkAAhxhKSEZKQIAQmj0Z501AQHNvkqagUEAAhUgdHthLQIA1q2bDMkNAgD6JvaLIRECADHJHn5hCQADzhF8BiTpAgK+2STmJQUCAklvOMFhKQICBfe6TYkdAACKjgItcPUAAaDGt0UAyQADYCb+PzQPAAMDUiNpX2r8AaMm9GhwwQAA+isOJXS9AAG6Tlm8HPECAInVosIlGQADUg6AQ5z5AAOBs8TZU8j8AeD2tc6QbwACApAvxGTHAACISn0O4MsAAKCr3JIIeQAACG8HLVC1AANKI/FRrIkAAhB2vCsAmQAD290+wFSXAAKKLrQFdRsAAgyymUtxHwABeavG6VUPAADR5dKnpPcAA2CSsGD8LwABmpsFpvSBAAJxRrwSyIcAAjWZCpp43wACqaXaTrEXAgPN9AFMrT8AATssLrRJLwADAyZjVD0LAALK40mr8OcAAK0iPcWwwwACKBJDRljDAAIMaLNLxQsAAHsMjAxNQwAC46VFAYVHAAJmNtxaSTcCAlvgC4eVIwIBtyA9NJkTAAIeUT+XvOsCASRHmkYxAwADKVwkSiEnAAAcVw8k+TsAAkq77IxlTwAA28JGVDk/AAKbxA8ZpQsCAROCLZeBDwACspwTUokHAAOjdT+9hQMBARYjdBGRNwGA1Vs+O1lTAwECESuT8UMDA7SMYp4VKwEDzPEQxQEvAABxaQYiaOcAALe2tNxU4wAC+PTg76EfAABx/momhPMDAh+U7pTpIwMBEqKxa8VjAIDtNefC0UsAACtSCNgMxwABCAOV1JTvAAFU84f+2RMCAKp4f6TRHwMCZtSD2SVfAYM815/1TXMAg2RoWKtlawABYczrFGlvAoNPC/cBrVMBgWKeB5PRQwCAhgUAuKVfAgFgou5tdW8AgPJBSdZVcwAAh8cIYg13AAADY8LXVXsBA1L84gWZfwABpOl5FUV3AIKS18drDWsAggg1uboRZwHDqvrvSelvAuOG+lufQYMDI/XpX6gtiwBg1tVwd32HAOAHqsjS4YMBoCusczBJdwNg0cMvPKl3AzApEJbEBYMAgPoK/7zFewOLlskZlJmDAfIeoJew9YcAWT//3MU1gwOxo7JJ4W2DAFqAUHJFqXcCUQcNpkhFawN6hoqlgbl3AQOjxUN8KYMAYpfLQo/hgwAD3Kt96l2LAYFHAOkXHX8BYZM3wUUBZwCgsF8/fgVnAEOGfniREWMAQi0m9JlRYwODpEN172FvAwOOfYdM0X8BQqf1sQPZfwDBeinrOe1rAMKc5BBAhVcAwnDBFfbFTwLD8L2J4hVTA8PHzuf7NVsDAZwQQT4VXwGCM8O/iaFrAoA04AxB3XMCgTPXxAzBXwKBbYndWTFHAwFmvPYQ9S8BAFYcw7c9EwAClFI6v2UPAwIAQ9Sy6T8AAfSyQ6phTwIBv3wZ1DVDAQN+9wdHsSsBA7T2NBONGwIAZVzpD+jDAAHJnvmERJMCANPKqYk09wMCaoj2FBELAgNDN8fKASMCA3ctEy+JHwIBPVNKbYzfAALgUYnsiHMAAFCezyVQRQACvIWS+Xy1AAPP/I+emMUAAIK8A7FoVwABhzyBNbjrAAC4WzZdfI8AAUD9jSUQLQICXVt4VlTJAwKCL3MQTRkDAj83KUa1DQACqRQvLDDlAAMaP51OMMEAAXBabOeEPQAAuZC3NsRjAAM5CLX64K0AAQwA2XBdHQIASjyQUIk5AAOqd7NXVTUDAClUPPZlGQIBkYW8UNEJAgCDYA6Q7MkAA8+HfuowtQMAKBnAe/kBAQO0FR6QiSUBgffh8DjtVQMB2L0ehslZAgLNEc/6mT0DA+zuXiQ1JQABB41tgWENAAEnhUHp2N0AADpSe6wo/QMCvf58uf1BA4DKErgWUVEDQm/Bqi3NWQIB6FBYAuVdAEO8gGb1lUEAAw9SVQ7tEQABA3b60FERAwLyfpTnPQ0DgydFocUVJQEBLjb0mNFNAQLiJWqt4WEAwn9A1oHpXQGCUAtFayVJAwAPNRwGQTECAJJ2bhfFEQIBVaFZ2pkFAAM3NFq06SECALQZHGSlSQFjB0OgRWFRAeAUHCCG1VEBYF9Ud3bZYQNjevfzF+VNAEE5Thg9fQEAA0Ki/DWjjP6DrxYaqUz3AoO4zEZ31McAAIDGNvkI7QJB0cEW0Lk5AYC210lyaTEAA8pU7cVcWQAC+f2MxezXAwOu6SfYQM8CA9TVu99cXwABADK7yuTlAAJwtLBhyJ0BgpSbQp0c4wMBLPzG0rDDAAAnggnpWJ8AAoZjr5UlCwOB7n8dn6EXAoKiL6xMlR8BQEippORdPwHCMtyWS2krAQK7VA31zRMCgYLfLWFxDwAAl385gk0PAAKX2/T0DUMBwSlWhBRJWwNAI8HyL2lXAkHDJquPAUsDAenBvPqZHwCAGhOfmYkPAAAWWvopxUcCwm0eCQT5XwJC2rNzoLlzAGDMUuzORYMBwxzG9l9dcwIBn5DR/gVTAcP1ssLM/VMDAdiEjhOBTwABXB66c+FHAQCkSgol1WcDAxw0zmcJewIDLsVTId13A0N4HrRZJYMDgeUNuWS1dwKAVb/ED41TAIGZRdcTnU8DAvrEewwxUwGBjYJ4Hv1bAgKX09wsoXsBA6jfgxAZhwHB4d7vcbWDAwCdj5eIeX8DA9aJE4ZZXwAAsslVbU07AAEXD6NcAUcAA6uu1wwlTwIBjK6UKllXAQCg5ehClXcCAQroib9pewEDZI6rj31vAwKIGHPgzV8DA4wWEXxtRwACT6MWI8EzAAPV4Hv+oUMCA2kUtKDxUwMD9MkBWd1bAAK2WEidwW8AAy3PRMklZwABEz3q5alLAAF+hZ7zbS8CAEem3n5dEwICUGUYXYkXAgK8RIw3eScAAva5dfVdMwABRLGbNgVDAgNBnpE+FVMCAozTRfUdQwIAlv9YMvULAgD56DdAWQcAAydgS9/A1wABn4GegGT3AgHjylluES8CAMik6k3VIwIDiMINGUkjAAL+NgTViRcAA+idavKkmwACkp6TaGxlAACipIYXrG0AA8Anyrq30vwB+gXtnTyrAAP7Nf800PsAArDD/Hns4wACI1hK9sxPAAMjgGU4BCkAASVgfxeAyQAB+bYUpD0BAALGwLFLsN0AAfIpkwz8aQAAA/klgbaG/ALjBfsB5FMAAQPMjVGvfvwDku5qUKzhAAMfx20r8Q0AA2OUSMoJJQACKx/cO4kxAgOoa2MJEQ0AAzJN96bgxQAD6w3e9LC5AAP/6HpjwNUAAjo9iDexAQADpM+J6oEdAwIbfEhIbUEAAMIbVWiNRQIBk6YYTNEtAgNTihTcvRUCANQ0v0xpDQICrzlejYUFAgC/w+6T8RECA9dKPwudMQIC0CIfhrk1AwLyo9rO1UUBA2bl8wApSQADdQ3lsm0hAgIeyuAbFSEAAiwDEp9FLQACqUBltukpAgFuh0zWbR0CAo9SVaBtAQAAtMHalskFAgAHt2bTgUkAABHCrsUdYQIBWQd+2/UtAALJfkcjYREBAkb5VAsBUQICbFSaqMFVAACTIAtn/UkAAVammRj5bQKDQnxtxzl1AYAKi4npCWUBANeaFJFZbQIBuvl1DXWBAwOUloR9fYECACSNO02pfQACgDG1Ub19AgHGAz7YMXEAAn4x8Yk1eQOD73VA6XGJAMANpvEIDYUDw4CSDjn1hQLDt9vlyvmNAgN3TUxWCYkAw7zYC7DhiQBgv1nxC7WFAAL7HS9vOYEAYihzTXDRhQOiU2UJc62JAMJBNPOiKZUC4yO6zuvllQPiHDBf3PmNAVHDlmcULYEAoBghcFspdQNCRno1T0WBATAdRn4i5YkDiQvyCeapiQCpfRkQ9W2NA0sOsa7r/Y0BxQJ7fAeJhQPFc6Zfdcl9AsJ2wSorrX0Cw6D3uQ5tgQDSOOLXMP2BAcBISK2ABYECk5S0aqUhhQBDEez4yimFAmKrTE7PBXUDwS1+qUy9aQHCC7K9ovVlAIDEZQbpfWECgM1I82/pYQNDoG600S11AWLPFrFWaYECg4viKYEheQADBgZzMAFlAoM/pdfdsVUAgd7FVr2hSQKDLO94bK1NAoAyESx1xVECgFOfrM/lWQODjPn/WL1lAALVEeBioVUBA62S6f+pOQIB+QZ2MJUNAQAnHlM+WQUAAdKvTM8BIQICCU7tCYUZAgF5rwWvyRkBgHon8PZhRQMBYkBf2NU5AACzNW7LqNEAAVUVoFTktQADQREbfNzNAAASGoE9VEUAAKVlPe44sQACR/rUY+TxAgN/e1sOPNEAA/d5raoMoQAD0vDgvkB/AgDT/3dW9P8CA0QlT98E6wAAoqxB/5jPAgOTlHOPBMMAA8A8mkRMNwADJvwZDeiPAAM50KyGzL8AA2a4rTnRBwMCQ3aFcF07AwNS4ekM7Q8AAgWSpjKNAwMAeCWwtR0TAAC6ViwKZKMCA3BN7d740wEDYRyNyVE3AQBYT/wteT8BAIx1ozv1SwADfXZgDglTAAML4TMg2ScAA2I2p6eFEwMD7EP8QqUjAQNSjrBnpQ8CAVhOkR/dGwGBye8Wvn1TAgPVpoaBiWMAwCZu28yNUwCDQtpX/c1HAAPaw44BQT8AgjK9fLOxHwKD+VWql10jAYMmlBe/AUcCAiKxaHlFVwIBOV5yao1fAsGfYkMcAV8CwxStuI/hQwOC5/AEEnU/AsEzB8FMpUMBAzbxscONJwCAUw7GIxlHAgDkmQeMzV8C4dmm+GzJWwIAu4UVU3FbAAG05Ji1+UsBAz4tSbY1GwBD6xMF6FEzAkHR88KhCUcDYTImhf0VRwCCHr08aSlXATMCznXihU8DQHLFcwolOwHyrPmcTeU7A+KQkrveYPMCARKob9AooQIDKHMwHFTHAtuPXXWSsUMA0lC2lIQlVwHQnqORqSU7AykvrhcAaRsAxXclwthNRwOQNC6a3GUnAZNwjIvNfQMC0/aLumtVMwHiZTPIzOkjAkL/u4T+HR8AsZTTgjFhQwNAtJemrMELAAF4oYwA8QsDQlRkT8ElNwCBwLAa+SDLAAJjPbTzi9b+QXXk37CtBwPDKdxAGIkfAUHw18nrCR8Ag2ZrHPkBGwADcj85IvDnAgPrVGP/FH8AAnsW3l2E5wNDEEAEsp0LA4Az3oc0yMMAgW9MhgBo5wMDYNcfTxD/AAIRHGM9KDMAA5ylvZOoNwEC+SxtBGijAAKhXJ3tt3T8AGIwMod/dP4Dlfew/1SbAQMxDOAQeI8DAcwP2G4YgwIBS2cC3wCLAgCR/QUc5HUAAk9VA//cvQECxj7UQwSlAQGpDt1qEJUAAEryOsrQBQAB5y2Q2igTAgKlkCMtKGEBAPtnGwt0oQKBtOUMhBDtAEMMNmoveQEAA5epbo9QsQEBgnezcQipAwPYXN7FmMUAAjGzpwhn0PwBQcpv94wFAALnWHQnzMEDgmVyaSeM7QABLosHm5URAcPfU4U12QUAAIIeTDfQvQGDLLQn6FTdAwL2qP8IYQECArZ9yKSovQEAwWKSGQDZAaE1Ie6AJSkBwT91avnRJQKDOUV4n1ERAOOWwPDNXQkBAmMZg9R0tQOCqRB0byy5AgIZLwp5uQEBQQFWzvXA5QIjrXbtb2TtAQFheHKPFSkBMzWq0zPdKQCbQiqI4WUJAdqkqe/MkQ0BuXNCBO+43QITFa34KAzlAEjjMVbjCRkBirt7Yy9hCQPYw2LGHHkVASNhHoCZRTUBwriCDeT1FQMBBR9mDfDlAUCT5MKiHPEBA7tnN/hYwQIAV8zIPdzNAGMovlQrnRUCQIAfJiwBBQBCR8QPlej1AwDXkTflOSEDQitkT4dE5QOB0DH/udzBACGB/cTo/Q0BAU1zm4K01QGAK9wAwCDhAkDmkU5B2R0AQAk9NKSZAQIB+jdqS4jJAgAhFkhuVOkDgSwEs1pE2QADa08obwyhAgJURM8qrNkDAgSgIvOo3QMDupIyDMy5AILI13BpPPUBAD8Yp3oo6QADrlnFDLRhAAJiMS1MUGEAASHaZHuIoQEAl3gfxzzBAQJtZAxi2NECADkZ2DDQ1QCAx4/mwgDBAQPTI5ITqLkDAykFGzxYsQAD4faPSvu2/gP6ukf97GMCAF19dNogWQGAREa1e6DBAAEOnxnpALkCAqNutr6okQICbrSlP4CdAgLzRAjbbKEAAgEUnooP8PwCcEsX+7inAAGDZxEU1wb9AE6w6Z3syQICMn3TSuT1AwA0TFxArQEAApIzw4kwzQADh7fOiyB9AAE2l1++gEsAA8gZZhQIuwADEBsSzAy/AALoJyqWQD8AA54Gy85AowIArIPcQmSrAAKFFJTm5EUAALYWxoF4kwIDYEe+K6DDAAMiAzk3cEEAA4hLXjDIowOBqs1OsM0LAoLScR3i5O8CgA0TBXig1wADGu1RQoifAQCM6lu1YJEAAjRapj2UeQGC94ZPAcEPAkPx1whURScAAJMbAp2M/wLCvLmwHnELAQEHGrghhPMCAV2tvxoExwCCM78LB3TXAIPxkL9L1MMCgSegbe1I5wMDNxEMnnjvAgGjUBQNMLMBAVhJ5B+Y6wACyc7eb9T7AIGUXVStfNcCAz3JxSRM5wICAT9190zLAQIUFXDfGNcCQGzdixUg9wKDDalpp9EPA8MT8wpW2ScAgMlt3oAo4wICZrQGmfB7AoIMSYuecN8BwRtf8D/8ywMAu+jfxIR7AkP3q9+L9P8CQ2fLx4GdGwGitKfZCzzrAmDuQFjtgQMAATEXZy9I6wBBHKdYCzyDA3L7W4Us4N8AIC0k+CDRAwGSm5Hlt5z7A3I4q5w9TQ8Ap40NkSulAwICnxviQlDTA5CN5CJIDK8AY34rvCqcrwCj/5/m6IC7A8DmNMvpGFMCwwC0RRsgmwCwXL2g/WzrAvIGuN22DM8CgUyBx/2MwwOirpMHjrzDAgDt3agV9J8Cgs9ogam8UwLDWfCtcYyPAKAL0zwr6MMBIKSNoehkwwKCozOuUuirAYNLq5m/yLMAgTyQE6X4uwKAhWBlgYCtA4DW2I36GKkBAnqLFfYYRwPA+BNk4MCFAAIaVRvooE8CwjlG7i14uwAA0F/6oVRbAgHPuOTA3BMAAPtWSZVocwACf10YDvSBAgOPABcpKOUCArcwKwqUNQIBBo8+mQCDAwP1xvDgTF8BA4Bxb4YEhwABLXB4/rCnAADS77iWh/b+ABcLWX9EzQEDagEoSfzZAAHTimw4ONkCgUM63inMsQACAzpdqXrU/YMRuoQqfIsBAlZAaS68owADxmUPsWwxAUEcPmjaaLkBYAQBcuNU2QHiJeS0FbzpAmM2+FrKdMkDAhePb2kIpQECmg4aI4PA/mIR6Kfw8KsCgfIWuMkcSwHzYVbyWqjBAKADJH9JdN0DcEsxsZqw9QLqrrlL7/D9A1QgVcK05M0A4zZJR1W0VQNBJ4MMoHgnA0JrrepRYEcDAO3bpjC38P40bmb2GJjJACMI0NtFHPEDKTCciJpk7QA5WSc1IRTtAwJcnfPRaMEAAYRQnfeDYv4BLSA7aaAnAANBgWCwW/b8g3TdG29YCwABLs4J0dBdA0Plm4XSFJ0DoJdU/d8skQGwdrDXvSTPACLaFVZWiN8Awk8aa5ssbQIAhCVEsC/a/Hl0DS/zjN8Bg3myeUOAIQJoiRbywkzlAxI/CHUkLN0AkHWH72LpGQKhSiLuneDlA8LSbQP+cI8AA3eBh0izqP4Aggl0ZUfK/4AvKZtsjGMDQDwlzSL46QFQn3SMw7UJAcNGySCQ1MEBA3PdHNCIuQIA2F/lkSgNAuCrmBsYKM8DQToeAnLYjQGCt6KmvuD5AwNjuwEPPMUBQul4Q1jw+QLgyiuKAIkJAAB6uSQdAKEDA/Bt4eJAqQICBhJuxcBZAEHEaioueNMAAoOd2LkmoP0BtCQlrSDdAUFyFSSMjOkCION2YNKJEQAAPHbkgDjVAAKeqLnJlAsDA4CjkOW8QwEDMUNLgWzrAoAVdqEwfIMBwgBjZ+lg+QEi5/YBbkUFAcLVMuiZQREDg2EaUoSk+QADFYCJOERXAQO+MypRLPMDgLmfdqiA9wKDF6VthnTHAAFI2HgrmE0BglC17Wfg8QJBzB18N+URAUPxz7hGPQECA3OL7ZUITQABOV+3cYBvAwF6zCvd/NMAQ7BtxvL5AwADYPc3+f/S/gLpnqiGuQEBwsfHEIihAQAB+LioO2j5AYC8ynkD3MUDgq19b/40+wND0QJur3EXA4M7st8s+OcAAfUEJVLonwKDiI9tKqDNA4ArDcPI9Q0BgA4k8lVc1QAD2fYc+LfE/oC4CpNxDMcDAXdJaoGVDwOCaT1NubT/AAKVCnpupD0CABwqdVYo2QECPgkyn0zdAgNOusxwGLEDA+7GzbMojwDBbnrHTaUHAEN/M/2MRTMCgcybGemRJwAAr1dz7tybAkMI2OPt5NEAgee9gn3s7QFAw5BzoSTVAgJ2HsLc1HcC4xog5+e5CwMAddVA6okfAQIdS6aTRRsCQUhEpng42wCBhaYDGOixAkKFje8PlP0Bw+Doh+YY8QACQZMXstba/UPA5tn44P8AwIqsHdc9HwEDKlBN3J0zAaO7oWKFkQ8CAS1ERmy4eQODYM5xQ0DRAwLNhyT+aLEAggXnNBjYuQMBphIblwCrA2CHC/0CZRMAY8dn/4YlFwKBOncO0gEHAMNagJn2nK8CYYHnxOO4wQAAGTsnk5TVAwBYxa30gD0CQNyMip80lwJhO7+oRCTrAyHX5UP9qQsDEw8hg0xRCwDh9w4NINzLA4Lh6k636FUDIE/298qwjQPBByCVFUxlAANfJKNi9IsBslbM9UvM6wBg6BVB8NDrA1PqpHPS/M8A=\",\"dtype\":\"float64\",\"shape\":[1024]}}},\"id\":\"9899cdc1-a187-426f-b79f-3e4461abfe3a\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"bottom_units\":\"screen\",\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"value\":\"lightgrey\"},\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":{\"value\":1.0},\"line_color\":{\"value\":\"black\"},\"line_dash\":[4,4],\"line_width\":{\"value\":2},\"plot\":null,\"render_mode\":\"css\",\"right_units\":\"screen\",\"top_units\":\"screen\"},\"id\":\"dbb2adbb-4198-442d-8d50-c68cd74adf81\",\"type\":\"BoxAnnotation\"},{\"attributes\":{\"data_source\":{\"id\":\"d5acc5d3-60f0-4845-af3b-f0c2efa45ff7\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"2c59ae7a-d065-45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" var render_items = [{\"docid\":\"ba305652-afd1-4b7f-9de6-4abd5da7e7cb\",\"elementid\":\"cb999d27-7f19-4107-9830-c40f476e2f7b\",\"modelid\":\"6e1d9388-1e85-47ec-87dd-51bdb3101798\"}];\n",
" \n",
" Bokeh.embed.embed_items(docs_json, render_items);\n",
" };\n",
" if (document.readyState != \"loading\") fn();\n",
" else document.addEventListener(\"DOMContentLoaded\", fn);\n",
" })();\n",
" },\n",
" function(Bokeh) {\n",
" }\n",
" ];\n",
" \n",
" function run_inline_js() {\n",
" \n",
" if ((window.Bokeh !== undefined) || (force === true)) {\n",
" for (var i = 0; i < inline_js.length; i++) {\n",
" inline_js[i](window.Bokeh);\n",
" }if (force === true) {\n",
" display_loaded();\n",
" }} else if (Date.now() < window._bokeh_timeout) {\n",
" setTimeout(run_inline_js, 100);\n",
" } else if (!window._bokeh_failed_load) {\n",
" console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
" window._bokeh_failed_load = true;\n",
" } else if (force !== true) {\n",
" var cell = $(document.getElementById(\"cb999d27-7f19-4107-9830-c40f476e2f7b\")).parents('.cell').data().cell;\n",
" cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
" }\n",
" \n",
" }\n",
" \n",
" if (window._bokeh_is_loading === 0) {\n",
" console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
" run_inline_js();\n",
" } else {\n",
" load_libs(js_urls, function() {\n",
" console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
" run_inline_js();\n",
" });\n",
" }\n",
" }(this));\n",
"</script>"
]
},
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" </div>\n",
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" }\n",
" \n",
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" \n",
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" \n",
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" window._bokeh_timeout = Date.now() + 0;\n",
" window._bokeh_failed_load = false;\n",
" }\n",
" \n",
" var NB_LOAD_WARNING = {'data': {'text/html':\n",
" \"<div style='background-color: #fdd'>\\n\"+\n",
" \"<p>\\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",
" \"</p>\\n\"+\n",
" \"<ul>\\n\"+\n",
" \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n",
" \"<li>use INLINE resources instead, as so:</li>\\n\"+\n",
" \"</ul>\\n\"+\n",
" \"<code>\\n\"+\n",
" \"from bokeh.resources import INLINE\\n\"+\n",
" \"output_notebook(resources=INLINE)\\n\"+\n",
" \"</code>\\n\"+\n",
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" return false;\n",
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\",\"dtype\":\"float64\",\"shape\":[1024]}}},\"id\":\"e0cc130a-ee20-44eb-bf8d-c219d04efa53\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"plot\":{\"id\":\"efd66630-7e37-4d90-967d-3794ddf75e79\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"2c6e8191-d15f-4edc-b502-902a55f1141f\",\"type\":\"HelpTool\"},{\"attributes\":{},\"id\":\"fdae4a1c-6ca7-45bd-8461-f9ed33f1cd18\",\"type\":\"ToolEvents\"},{\"attributes\":{\"data_source\":{\"id\":\"e0cc130a-ee20-44eb-bf8d-c219d04efa53\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"dc51dc4f-a2cc-40c6-8c9c-8bde32fbede4\",\"type\":\"Line\"},\"hover_glyph\":null,\"nonselection_glyph\":{\"id\":\"438f2f5c-280d-4f03-ad50-7f1f6bc6d6e3\",\"type\":\"Line\"},\"selection_glyph\":null},\"id\":\"485eb8d1-31de-46be-a65a-0ea487a36f0f\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"50ef8a62-20e2-495f-b440-713750acc06c\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"af0c093d-e29c-4f7d-82fa-c467b1173a2e\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"formatter\":{\"id\":\"af0c093d-e29c-4f7d-82fa-c467b1173a2e\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"efd66630-7e37-4d90-967d-3794ddf75e79\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"50ef8a62-20e2-495f-b440-713750acc06c\",\"type\":\"BasicTicker\"}},\"id\":\"24b08d71-c13d-4289-9ccf-3a972d9dca83\",\"type\":\"LinearAxis\"},{\"attributes\":{\"plot\":{\"id\":\"efd66630-7e37-4d90-967d-3794ddf75e79\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"59f02ad7-3842-4228-9321-75094b9cf039\",\"typ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" var render_items = [{\"docid\":\"d414596d-accd-4082-90c6-badd9b64332c\",\"elementid\":\"381176fa-2cf0-4f4c-acc6-15bec9b93ef4\",\"modelid\":\"efd66630-7e37-4d90-967d-3794ddf75e79\"}];\n",
" \n",
" Bokeh.embed.embed_items(docs_json, render_items);\n",
" };\n",
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" })();\n",
" },\n",
" function(Bokeh) {\n",
" }\n",
" ];\n",
" \n",
" function run_inline_js() {\n",
" \n",
" if ((window.Bokeh !== undefined) || (force === true)) {\n",
" for (var i = 0; i < inline_js.length; i++) {\n",
" inline_js[i](window.Bokeh);\n",
" }if (force === true) {\n",
" display_loaded();\n",
" }} else if (Date.now() < window._bokeh_timeout) {\n",
" setTimeout(run_inline_js, 100);\n",
" } else if (!window._bokeh_failed_load) {\n",
" console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
" window._bokeh_failed_load = true;\n",
" } else if (force !== true) {\n",
" var cell = $(document.getElementById(\"381176fa-2cf0-4f4c-acc6-15bec9b93ef4\")).parents('.cell').data().cell;\n",
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" }\n",
" \n",
" }\n",
" \n",
" if (window._bokeh_is_loading === 0) {\n",
" console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
" run_inline_js();\n",
" } else {\n",
" load_libs(js_urls, function() {\n",
" console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
" run_inline_js();\n",
" });\n",
" }\n",
" }(this));\n",
"</script>"
]
},
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{
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" </div>\n",
"<script type=\"text/javascript\">\n",
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" }\n",
" \n",
" var force = false;\n",
" \n",
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" \n",
" \n",
" if (typeof (window._bokeh_timeout) === \"undefined\" || force === true) {\n",
" window._bokeh_timeout = Date.now() + 0;\n",
" window._bokeh_failed_load = false;\n",
" }\n",
" \n",
" var NB_LOAD_WARNING = {'data': {'text/html':\n",
" \"<div style='background-color: #fdd'>\\n\"+\n",
" \"<p>\\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",
" \"</p>\\n\"+\n",
" \"<ul>\\n\"+\n",
" \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n",
" \"<li>use INLINE resources instead, as so:</li>\\n\"+\n",
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" \"<code>\\n\"+\n",
" \"from bokeh.resources import INLINE\\n\"+\n",
" \"output_notebook(resources=INLINE)\\n\"+\n",
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" s.onerror = function() {\n",
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" if (element == null) {\n",
" console.log(\"Bokeh: ERROR: autoload.js configured with elementid 'ccd2f1f3-dc55-4560-991d-525f9ddc5661' but no matching script tag was found. \")\n",
" return false;\n",
" }\n",
" \n",
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\",\"dtype\":\"float64\",\"shape\":[1024]}}},\"id\":\"82284c91-a513-4c75-8a6b-d069d1a7cb1f\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"formatter\":{\"id\":\"55c36903-0567-460a-ae3a-5cb879501f25\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"810debe2-fec6-4da1-9117-f96ebdf91fc6\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"f3472293-24b8-4158-8f90-df8adf9b0b1a\",\"type\":\"BasicTicker\"}},\"id\":\"32adc640-cb3f-4c91-ac50-e1a4aa212b10\",\"type\":\"LinearAxis\"},{\"attributes\":{\"plot\":{\"id\":\"810debe2-fec6-4da1-9117-f96ebdf91fc6\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"c5cf0976-d9b7-4188-9758-8fe279cb7997\",\"type\":\"WheelZoomTool\"},{\"attributes\":{},\"id\":\"55c36903-0567-460a-ae3a-5cb879501f25\",\"type\":\"BasicTickFormatter\"}],\"root_ids\":[\"810debe2-fec6-4da1-9117-f96ebdf91fc6\"]},\"title\":\"Bokeh 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" var render_items = [{\"docid\":\"2f44e0de-f4ae-423a-8b54-510820eb8894\",\"elementid\":\"ccd2f1f3-dc55-4560-991d-525f9ddc5661\",\"modelid\":\"810debe2-fec6-4da1-9117-f96ebdf91fc6\"}];\n",
" \n",
" Bokeh.embed.embed_items(docs_json, render_items);\n",
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" \"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",
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" var render_items = [{\"docid\":\"b5639a7f-6339-4466-8fc6-e5bd3abdf18a\",\"elementid\":\"63589c53-e8ad-41e2-8bdf-508e178cdf43\",\"modelid\":\"ff2142c4-5652-4915-b855-dff755c9d1b5\"}];\n",
" \n",
" Bokeh.embed.embed_items(docs_json, render_items);\n",
" };\n",
" if (document.readyState != \"loading\") fn();\n",
" else document.addEventListener(\"DOMContentLoaded\", fn);\n",
" })();\n",
" },\n",
" function(Bokeh) {\n",
" }\n",
" ];\n",
" \n",
" function run_inline_js() {\n",
" \n",
" if ((window.Bokeh !== undefined) || (force === true)) {\n",
" for (var i = 0; i < inline_js.length; i++) {\n",
" inline_js[i](window.Bokeh);\n",
" }if (force === true) {\n",
" display_loaded();\n",
" }} else if (Date.now() < window._bokeh_timeout) {\n",
" setTimeout(run_inline_js, 100);\n",
" } else if (!window._bokeh_failed_load) {\n",
" console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
" window._bokeh_failed_load = true;\n",
" } else if (force !== true) {\n",
" var cell = $(document.getElementById(\"63589c53-e8ad-41e2-8bdf-508e178cdf43\")).parents('.cell').data().cell;\n",
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" }\n",
" \n",
" }\n",
" \n",
" if (window._bokeh_is_loading === 0) {\n",
" console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
" run_inline_js();\n",
" } else {\n",
" load_libs(js_urls, function() {\n",
" console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
" run_inline_js();\n",
" });\n",
" }\n",
" }(this));\n",
"</script>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Axis Z: tau=5.5 samples (3.42 ms / -5.678)\n",
"\tgain=16.4 (beta=10.174), bias=-18.3\n"
]
},
{
"data": {
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"\n",
"\n",
" <div class=\"bk-root\">\n",
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" </div>\n",
"<script type=\"text/javascript\">\n",
" \n",
" (function(global) {\n",
" function now() {\n",
" return new Date();\n",
" }\n",
" \n",
" var force = false;\n",
" \n",
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" window._bokeh_is_loading = undefined;\n",
" }\n",
" \n",
" \n",
" \n",
" if (typeof (window._bokeh_timeout) === \"undefined\" || force === true) {\n",
" window._bokeh_timeout = Date.now() + 0;\n",
" window._bokeh_failed_load = false;\n",
" }\n",
" \n",
" var NB_LOAD_WARNING = {'data': {'text/html':\n",
" \"<div style='background-color: #fdd'>\\n\"+\n",
" \"<p>\\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",
" \"</p>\\n\"+\n",
" \"<ul>\\n\"+\n",
" \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n",
" \"<li>use INLINE resources instead, as so:</li>\\n\"+\n",
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" \"<code>\\n\"+\n",
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" \"output_notebook(resources=INLINE)\\n\"+\n",
" \"</code>\\n\"+\n",
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" \n",
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" }\n",
" \n",
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" if (window._bokeh_is_loading === 0) {\n",
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" s.onerror = function() {\n",
" console.warn(\"failed to load library \" + url);\n",
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" return false;\n",
" }\n",
" \n",
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\",\"dtype\":\"float64\",\"shape\":[1024]}}},\"id\":\"877d13a1-0e41-452a-8355-a8b616b8902b\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"3fee9e27-e343-4ace-be69-51dede622e1e\",\"type\":\"Line\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"5f1b0160-234d-4475-80a2-407a2bc06b70\",\"type\":\"PanTool\"},{\"id\":\"4c32deb8-9165-4a06-b86f-cb211ec32ead\",\"type\":\"WheelZoomTool\"},{\"id\":\"1fa6a474-42c0-4b4b-9c45-b17f68c66020\",\"type\":\"BoxZoomTool\"},{\"id\":\"49b8565a-1883-4cec-b096-f2333a1f1658\",\"type\":\"SaveTool\"},{\"id\":\"9f5aa3c7-f17c-465d-9827-1df1782f6ea4\",\"type\":\"ResetTool\"},{\"id\":\"aece5d99-6fa4-4972-8836-6d1bb3403e67\",\"type\":\"HelpTool\"}]},\"id\":\"d43e25e9-0904-4aff-85b8-af8787cafd9a\",\"type\":\"Toolbar\"}],\"root_ids\":[\"8668ac08-4d79-473f-ae05-0783e20e074d\"]},\"title\":\"Bokeh 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" var render_items = [{\"docid\":\"de66650b-0030-4991-af7d-86019db4699a\",\"elementid\":\"30b6a0e8-50f6-4b4d-860d-0474acb41754\",\"modelid\":\"8668ac08-4d79-473f-ae05-0783e20e074d\"}];\n",
" \n",
" Bokeh.embed.embed_items(docs_json, render_items);\n",
" };\n",
" if (document.readyState != \"loading\") fn();\n",
" else document.addEventListener(\"DOMContentLoaded\", fn);\n",
" })();\n",
" },\n",
" function(Bokeh) {\n",
" }\n",
" ];\n",
" \n",
" function run_inline_js() {\n",
" \n",
" if ((window.Bokeh !== undefined) || (force === true)) {\n",
" for (var i = 0; i < inline_js.length; i++) {\n",
" inline_js[i](window.Bokeh);\n",
" }if (force === true) {\n",
" display_loaded();\n",
" }} else if (Date.now() < window._bokeh_timeout) {\n",
" setTimeout(run_inline_js, 100);\n",
" } else if (!window._bokeh_failed_load) {\n",
" console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
" window._bokeh_failed_load = true;\n",
" } else if (force !== true) {\n",
" var cell = $(document.getElementById(\"30b6a0e8-50f6-4b4d-860d-0474acb41754\")).parents('.cell').data().cell;\n",
" cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
" }\n",
" \n",
" }\n",
" \n",
" if (window._bokeh_is_loading === 0) {\n",
" console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
" run_inline_js();\n",
" } else {\n",